From 4f3aa16e32a14ae0a9f02820dc5f4192528f203f Mon Sep 17 00:00:00 2001 From: Marc Finzi Date: Fri, 13 Oct 2023 18:34:27 -0400 Subject: [PATCH] Algorithm implementation and refactor (#73) Co-authored-by: AndPotap --- README.md | 6 +- cola/__init__.py | 1 - cola/backends/jax_fns.py | 9 +- cola/decompositions.py | 131 - cola/linalg/algorithm_base.py | 31 + .../decompositions}/__init__.py | 1 - .../decompositions}/arnoldi.py | 29 +- cola/linalg/decompositions/decompositions.py | 176 ++ .../decompositions}/lanczos.py | 30 +- cola/linalg/diag_trace.py | 143 - cola/linalg/eig/__init__.py | 6 + cola/linalg/eig/eigs.py | 189 ++ cola/{algorithms => linalg/eig}/iram.py | 0 cola/{algorithms => linalg/eig}/lobpcg.py | 0 .../eig}/power_iteration.py | 35 +- cola/linalg/eigs.py | 166 -- cola/linalg/inv.py | 170 -- cola/linalg/inverse/__init__.py | 6 + cola/{algorithms => linalg/inverse}/cg.py | 28 + cola/{algorithms => linalg/inverse}/gmres.py | 33 +- cola/linalg/inverse/inv.py | 162 ++ cola/linalg/logdet.py | 169 -- cola/linalg/logdet/__init__.py | 6 + cola/linalg/logdet/logdet.py | 174 ++ .../preconditioning}/preconditioners.py | 18 +- cola/linalg/solve.py | 32 - cola/linalg/{ => tbd}/nullspace.py | 3 +- cola/linalg/{ => tbd}/pinv.py | 0 .../tbd}/randomized_svd.py | 0 cola/{algorithms => linalg/tbd}/slq.py | 5 +- cola/linalg/{ => tbd}/svd.py | 0 cola/{algorithms => linalg/tbd}/svrg.py | 0 cola/linalg/trace/__init__.py | 6 + cola/linalg/trace/diag_trace.py | 136 + .../trace}/diagonal_estimation.py | 148 +- cola/linalg/unary.py | 267 -- cola/linalg/unary/__init__.py | 6 + cola/linalg/unary/unary.py | 323 +++ docs/index.rst | 3 +- docs/notebooks/01_algorithms.ipynb | 83 +- docs/notebooks/03_GPs.ipynb | 97 +- docs/notebooks/04_Spectral_Clustering.ipynb | 115 +- docs/notebooks/05_Boundary_Value_PDEs.ipynb | 78 +- .../06_PDE_Eigenvalue_Problems.ipynb | 45 +- .../07_second_order_optimization.ipynb | 102 +- docs/notebooks/09_hessian_spectrum.ipynb | 29 +- docs/notebooks/10_vmap_jit_grad.ipynb | 114 +- docs/notebooks/Adding_Linear_Operators.ipynb | 48 +- .../Linalg_operations_walkthrough.ipynb | 267 +- docs/notebooks/Quick_Start.ipynb | 307 +- docs/notebooks/colabs/01_algorithms.ipynb | 92 +- docs/notebooks/colabs/03_GPs.ipynb | 106 +- .../colabs/04_Spectral_Clustering.ipynb | 115 +- .../colabs/05_Boundary_Value_PDEs.ipynb | 76 +- .../colabs/06_PDE_Eigenvalue_Problems.ipynb | 180 +- .../colabs/07_second_order_optimization.ipynb | 226 +- .../colabs/09_hessian_spectrum.ipynb | 27 +- docs/notebooks/colabs/10_vmap_jit_grad.ipynb | 119 +- .../colabs/Adding_Linear_Operators.ipynb | 48 +- docs/notebooks/colabs/Device_Allocation.ipynb | 6 +- .../Linalg_operations_walkthrough.ipynb | 271 +- docs/notebooks/colabs/Quick_Start.ipynb | 98 +- docs/notebooks/colabs/all.ipynb | 2457 ++++------------- docs/notebooks/colabs/tricky_bits.ipynb | 83 + docs/notebooks/colabs/worksheet.ipynb | 2 +- docs/package/cola.algorithms.rst | 7 - docs/package/cola.decompositions.rst | 4 +- docs/package/cola.linalg.rst | 168 +- setup.py | 3 +- tests/algorithms/test_arnoldi.py | 6 +- tests/algorithms/test_cg.py | 7 +- tests/algorithms/test_gmres.py | 9 +- tests/algorithms/test_iram.py | 2 +- tests/algorithms/test_lanczos.py | 8 +- tests/algorithms/test_lobpcg.py | 2 +- tests/algorithms/test_precond.py | 12 +- .../test_stochastic_lanczos_quad.py | 2 +- tests/linalg/test_diagonal.py | 21 +- tests/linalg/test_eig.py | 39 +- tests/linalg/test_inverse.py | 13 +- tests/linalg/test_logdet.py | 31 +- tests/linalg/test_solve.py | 5 +- tests/linalg/test_sqrt.py | 7 +- tests/linalg/test_unary.py | 27 +- tests/test_decomps.py | 18 +- tests/test_linalg.py | 10 +- tests/test_operators.py | 2 +- tests/test_pytree.py | 12 +- 88 files changed, 3773 insertions(+), 4481 deletions(-) delete mode 100644 cola/decompositions.py create mode 100644 cola/linalg/algorithm_base.py rename cola/{algorithms => linalg/decompositions}/__init__.py (75%) rename cola/{algorithms => linalg/decompositions}/arnoldi.py (92%) create mode 100644 cola/linalg/decompositions/decompositions.py rename cola/{algorithms => linalg/decompositions}/lanczos.py (90%) delete mode 100644 cola/linalg/diag_trace.py create mode 100644 cola/linalg/eig/__init__.py create mode 100644 cola/linalg/eig/eigs.py rename cola/{algorithms => linalg/eig}/iram.py (100%) rename cola/{algorithms => linalg/eig}/lobpcg.py (100%) rename cola/{algorithms => linalg/eig}/power_iteration.py (55%) delete mode 100644 cola/linalg/eigs.py delete mode 100644 cola/linalg/inv.py create mode 100644 cola/linalg/inverse/__init__.py rename cola/{algorithms => linalg/inverse}/cg.py (83%) rename cola/{algorithms => linalg/inverse}/gmres.py (78%) create mode 100644 cola/linalg/inverse/inv.py delete mode 100644 cola/linalg/logdet.py create mode 100644 cola/linalg/logdet/__init__.py create mode 100644 cola/linalg/logdet/logdet.py rename cola/{algorithms => linalg/preconditioning}/preconditioners.py (95%) delete mode 100644 cola/linalg/solve.py rename cola/linalg/{ => tbd}/nullspace.py (99%) rename cola/linalg/{ => tbd}/pinv.py (100%) rename cola/{algorithms => linalg/tbd}/randomized_svd.py (100%) rename cola/{algorithms => linalg/tbd}/slq.py (95%) rename cola/linalg/{ => tbd}/svd.py (100%) rename cola/{algorithms => linalg/tbd}/svrg.py (100%) create mode 100644 cola/linalg/trace/__init__.py create mode 100644 cola/linalg/trace/diag_trace.py rename cola/{algorithms => linalg/trace}/diagonal_estimation.py (59%) delete mode 100644 cola/linalg/unary.py create mode 100644 cola/linalg/unary/__init__.py create mode 100644 cola/linalg/unary/unary.py create mode 100644 docs/notebooks/colabs/tricky_bits.ipynb delete mode 100644 docs/package/cola.algorithms.rst diff --git a/README.md b/README.md index e97ad972..3356e665 100644 --- a/README.md +++ b/README.md @@ -61,7 +61,7 @@ print(F @ v) ``` ``` [0.2 0.2 2.2 2.2 4.2 4.2 6.2 - 6.2 8.2 8.2 7.8121004 2.062 ] + 6.2 8.2 8.2 7.8 2.1 ] ``` 2. **Performing Linear Algebra**. With these objects we can perform linear algebra operations even when they are very big. @@ -70,8 +70,8 @@ print(cola.linalg.trace(F)) Q = F.T @ F + 1e-3 * cola.ops.I_like(F) b = cola.linalg.inv(Q) @ v print(jnp.linalg.norm(Q @ b - v)) -print(cola.linalg.eig(F)[0][:5]) -print(cola.sqrt(A)) +print(cola.linalg.eig(F, k=F.shape[0])[0][:5]) +print(cola.linalg.sqrt(A)) ``` ``` diff --git a/cola/__init__.py b/cola/__init__.py index aa23d39f..aa44f069 100644 --- a/cola/__init__.py +++ b/cola/__init__.py @@ -12,7 +12,6 @@ import_from_all("annotations", globals(), __all__, __name__) import_from_all("linalg", globals(), __all__, __name__) import_from_all("utils", globals(), __all__, __name__) -import_from_all("decompositions", globals(), __all__, __name__) __all__.append("LinearOperator") # import_from_all("ops", globals(), __all__,__name__) diff --git a/cola/backends/jax_fns.py b/cola/backends/jax_fns.py index b4618158..2704dac3 100644 --- a/cola/backends/jax_fns.py +++ b/cola/backends/jax_fns.py @@ -123,11 +123,12 @@ def is_cuda_available(): def eig(A): # if GPU, convert to CPU first since jax doesn't support it - device = A.device_buffer.device() - if str(device)[:3] != 'cpu': - A = jax.device_put(A, jax.devices("cpu")[0]) + # device = A.device_buffer.device() + # if str(device)[:3] != 'cpu': + # A = jax.device_put(A, jax.devices("cpu")[0]) w, v = jnp.linalg.eig(A) - return jax.device_put(w, device), jax.device_put(v, device) + return w, v + # return jax.device_put(w, device), jax.device_put(v, device) def eye(n, m, dtype, device): diff --git a/cola/decompositions.py b/cola/decompositions.py deleted file mode 100644 index 37156de2..00000000 --- a/cola/decompositions.py +++ /dev/null @@ -1,131 +0,0 @@ -""" Decompositions of linear operators, e.g. LU, Cholesky.""" - -from typing import Callable -from plum import dispatch -import cola -from cola import Unitary -from cola.fns import lazify -from cola.ops.operator_base import LinearOperator -from cola.ops import Triangular, Permutation, Diagonal -from cola.ops import Identity, ScalarMul, Kronecker, BlockDiag -from cola.utils import export -from cola.linalg import inv, eig, trace, apply_unary - - -@dispatch -@export -def cholesky_decomposed(A: LinearOperator): - """ Performs a cholesky decomposition A=LL* of a linear operator A. - The returned operator LL* is the same as A, but represented using - the triangular structure. - - (Implicitly assumes A is PSD) - """ - L = Triangular(A.xnp.cholesky(A.to_dense()), lower=True) - return L @ L.H - - -@dispatch -def cholesky_decomposed(A: Identity): - return A - - -@dispatch -def cholesky_decomposed(A: Diagonal): - return A - - -@dispatch -def cholesky_decomposed(A: ScalarMul): - return A - - -@dispatch -def cholesky_decomposed(A: Kronecker): - # see https://www.math.uwaterloo.ca/~hwolkowi/henry/reports/kronthesisschaecke04.pdf - return Kronecker(*[cholesky_decomposed(Ai) for Ai in A.Ms]) - - -@dispatch -def cholesky_decomposed(A: BlockDiag): - return BlockDiag(*[cholesky_decomposed(Ai) for Ai in A.Ms], multiplicities=A.multiplicities) - - -@dispatch -@export -def lu_decomposed(A: LinearOperator): - """ Performs a cholesky decomposition A=PLU of a linear operator A. - The returned operator PLU is the same as A, but represented using - the triangular (and permutation) structure """ - p, L, U = A.xnp.lu(A.to_dense()) - P, L, U = Permutation(p), Triangular(L, lower=True), Triangular(U, lower=False) - P, L, U = P.to(A.device), L.to(A.device), U.to(A.device) - return P @ L @ U - - -@dispatch -def lu_decomposed(A: Identity): - return A - - -@dispatch -def lu_decomposed(A: Diagonal): - return A - - -@dispatch -def lu_decomposed(A: ScalarMul): - return A - - -@dispatch -def lu_decomposed(A: Kronecker): - # see https://www.math.uwaterloo.ca/~hwolkowi/henry/reports/kronthesisschaecke04.pdf - return Kronecker(*[lu_decomposed(Ai) for Ai in A.Ms]) - - -@dispatch -def lu_decomposed(A: BlockDiag): - return BlockDiag(*[lu_decomposed(Ai) for Ai in A.Ms], multiplicities=A.multiplicities) - - -@export -class UnitaryDecomposition(LinearOperator): - """ Decomposition of form A = Q M Q^H. - - Convenient for computing inverses, eigs, traces, determinants. - Assumes Q is unitary (or more precisely a Stiefel matrix): Q.H@Q = I, - but not necessarily Q@Q.H = I and Q need not be square. - """ - def __init__(self, Q, M): - super().__init__(M.dtype, (Q.shape[0], Q.shape[0])) - self.Q = cola.fns.lazify(Q) - self.M = cola.fns.lazify(M) - - -@inv.dispatch -def inv(A: UnitaryDecomposition, **kwargs): - Q, M = A.Q, A.M - return Q @ inv(M, **kwargs) @ Q.H - - -@eig.dispatch -def eig(QH: UnitaryDecomposition, **kwargs): - Q, H, xnp = QH.Q, QH.M, QH.xnp - eig_vals, eig_vecs = eig(H, **kwargs) - eig_vecs = xnp.cast(Q.to_dense(), dtype=eig_vecs.dtype) @ eig_vecs.to_dense() - eig_vecs = Unitary(lazify(eig_vecs)) - return eig_vals, eig_vecs - - -@trace.dispatch -def trace(A: UnitaryDecomposition, **kwargs): - _, M = A.Q, A.M - return trace(M, **kwargs) - - -@apply_unary.dispatch -def apply_unary(fn: Callable, A: UnitaryDecomposition, **kwargs): - # Need to think carefully about the case where Q is not full rank - Q, M = A.Q, A.M - return Q @ apply_unary(fn, M, **kwargs) @ Q.H diff --git a/cola/linalg/algorithm_base.py b/cola/linalg/algorithm_base.py new file mode 100644 index 00000000..ee5bb045 --- /dev/null +++ b/cola/linalg/algorithm_base.py @@ -0,0 +1,31 @@ +from plum import parametric +from cola.ops import LinearOperator +from cola.utils import export +from types import SimpleNamespace +# import pytreeclass as tc + + +@export +class Algorithm: + pass + + +@parametric +class IterativeOperatorWInfo(LinearOperator): + def __init__(self, A: LinearOperator, alg: Algorithm): + super().__init__(A.dtype, A.shape) + self.A = A + self.alg = alg + self.info = {} + + def _matmat(self, X): + Y, self.info = self.alg(self.A, X) + return Y + + def __str__(self): + return f"{self.alg}({str(self.A)})" + + +@export +class Auto(SimpleNamespace, Algorithm): + pass diff --git a/cola/algorithms/__init__.py b/cola/linalg/decompositions/__init__.py similarity index 75% rename from cola/algorithms/__init__.py rename to cola/linalg/decompositions/__init__.py index 70386f3c..ac4dec98 100644 --- a/cola/algorithms/__init__.py +++ b/cola/linalg/decompositions/__init__.py @@ -1,4 +1,3 @@ -""" Low-level algorithms used in CoLA (no dispatch rules). """ import pkgutil from cola.utils import import_from_all diff --git a/cola/algorithms/arnoldi.py b/cola/linalg/decompositions/arnoldi.py similarity index 92% rename from cola/algorithms/arnoldi.py rename to cola/linalg/decompositions/arnoldi.py index 8db81b97..a09d77bf 100644 --- a/cola/algorithms/arnoldi.py +++ b/cola/linalg/decompositions/arnoldi.py @@ -2,9 +2,8 @@ from cola.ops import LinearOperator from cola.ops import Array, Dense from cola.ops import Householder, Product -from cola.utils import export -import cola -from cola import Stiefel, lazify +# from cola.utils import export +from cola import lazify # def arnoldi_eigs_bwd(res, grads, unflatten, *args, **kwargs): # val_grads, eig_grads, _ = grads @@ -34,9 +33,8 @@ # @export # @iterative_autograd(arnoldi_eigs_bwd) -@export def arnoldi_eigs(A: LinearOperator, start_vector: Array = None, max_iters: int = 100, tol: float = 1e-7, - use_householder: bool = False, pbar: bool = False): + use_householder: bool = False, pbar: bool = False, key=None): """ Computes eigenvalues and eigenvectors using Arnoldi. @@ -48,6 +46,7 @@ def arnoldi_eigs(A: LinearOperator, start_vector: Array = None, max_iters: int = tol (float, optional): Stopping criteria. use_householder (bool, optional): Use Householder Arnoldi variant. pbar (bool, optional): Show a progress bar. + key (PNRGKey, optional): PRNGKey for random number generation. Returns: tuple: @@ -56,16 +55,15 @@ def arnoldi_eigs(A: LinearOperator, start_vector: Array = None, max_iters: int = - info (dict): General information about the iterative procedure. """ Q, H, info = arnoldi(A=A, start_vector=start_vector, max_iters=max_iters, tol=tol, use_householder=use_householder, - pbar=pbar) + pbar=pbar, key=key) xnp = A.xnp eigvals, vs = xnp.eig(H.to_dense()) eigvectors = Q @ lazify(vs) return eigvals, eigvectors, info -@export def arnoldi(A: LinearOperator, start_vector=None, max_iters=100, tol: float = 1e-7, use_householder: bool = False, - pbar: bool = False): + pbar: bool = False, key=None): """ Computes the Arnoldi decomposition of the linear operator A, A = QHQ^*. @@ -77,6 +75,7 @@ def arnoldi(A: LinearOperator, start_vector=None, max_iters=100, tol: float = 1e tol (float, optional): Stopping criteria. use_householder (bool, optional): Use Householder Arnoldi iteration. pbar (bool, optional): Show a progress bar. + key (PNRGKey, optional): PRNGKey for random number generation. Returns: tuple: @@ -86,7 +85,8 @@ def arnoldi(A: LinearOperator, start_vector=None, max_iters=100, tol: float = 1e """ xnp = A.xnp if start_vector is None: - start_vector = xnp.randn(A.shape[-1], dtype=A.dtype, device=A.device) + key = xnp.PRNGKey(42) if key is None else key + start_vector = xnp.randn(A.shape[-1], dtype=A.dtype, device=A.device, key=key) if len(start_vector.shape) == 1: rhs = start_vector[:, None] else: @@ -103,17 +103,6 @@ def arnoldi(A: LinearOperator, start_vector=None, max_iters=100, tol: float = 1e return Q, H, infodict -def ArnoldiDecomposition(A: LinearOperator, start_vector=None, max_iters=100, tol=1e-7, use_householder=False, - pbar=False): - """ Provides the Arnoldi decomposition of a matrix A = Q H Q^H. LinearOperator form of arnoldi, - see arnoldi for arguments.""" - Q, H, info = arnoldi(A=A, start_vector=start_vector, max_iters=max_iters, tol=tol, use_householder=use_householder, - pbar=pbar) - A_approx = cola.UnitaryDecomposition(Q, H) - A_approx.info = info - return A_approx - - def get_householder_vec_simple(x, idx, xnp): indices = xnp.arange(x.shape[0]) vec = xnp.where(indices >= idx, x, 0.) diff --git a/cola/linalg/decompositions/decompositions.py b/cola/linalg/decompositions/decompositions.py new file mode 100644 index 00000000..1b4d4c51 --- /dev/null +++ b/cola/linalg/decompositions/decompositions.py @@ -0,0 +1,176 @@ +""" Decompositions of linear operators, e.g. LU, Cholesky, Lanczos, Arnoldi, SVD""" +from plum import dispatch +from dataclasses import dataclass +from cola.ops import LinearOperator, Array +from cola.ops import Triangular, Permutation, Diagonal +from cola.ops import Identity, ScalarMul, Kronecker, BlockDiag +from cola.utils import export +from cola.linalg.algorithm_base import Algorithm +from cola.linalg.decompositions.lanczos import lanczos +from cola.linalg.decompositions.arnoldi import arnoldi +from cola.linalg.algorithm_base import Auto +import cola.linalg +from typing import Optional, Any + +PRNGKey = Any + + +@export +class Cholesky(Algorithm): + """ + Cholesky algorithm for decomposing a positive definite operator as + :math:`A = L L^{*}`, + where :math:`L` is a lower triangular operator. + + Example: + >>> A = MyLinearOperator() + >>> L = cola.linalg.decompositions.Cholesky()(A) + """ + def __call__(self, A: LinearOperator): + return cholesky(A) + + +@export +class LU(Algorithm): + """ + LU algorithm for decomposing a general square operator as + :math:`A = PLU`, + where :math:`P` is a permutation operator, + :math:`L` is a lower triangular operator + and :math:`U` is an upper triangular operator. + + Example: + >>> A = MyLinearOperator() + >>> P,L,U = cola.linalg.decompositions.LU()(A) + """ + def __call__(self, A: LinearOperator): + return plu(A) + + +@export +@dataclass +class Arnoldi(Algorithm): + """ + Arnoldi decomposition for a general square operator, + :math:`H \\approx Q^{*} A Q` + where :math:`H` is an upper Hessenberg operator. + This algorithm is used to approximate eig(A) through eig(H). + + Args: + start_vector (Array, optional): (n,) or (n, b) vector to start the algorithm. + max_iters (int, optional): The maximum number of iterations to run. + tol (float, optional): Relative error tolerance. + pbar (bool, optional): Whether to show progress bar. + key (PRNGKey, optional): Random key to use for the algorithm. + PRNGKey for jax, long integer for numpy or pytorch. + + Example: + >>> A = MyLinearOperator() + >>> Q,H,info = Arnoldi(max_iters=100,pbar=True)(A) + """ + start_vector: Array = None + max_iters: int = 1_000 + tol: float = 1e-6 + pbar: bool = False + key: Optional[PRNGKey] = None + + def __call__(self, A: LinearOperator): + return arnoldi(A, **self.__dict__) + + +@export +@dataclass +class Lanczos(Algorithm): + """ + Lanczos decomposition for Symmetric (or Hermitian) operators, + :math:`T = Q^{*} A Q` + where :math:`T` is a tridiagional operator. + This algorithm is used to approximate eig(A) through eig(T). + + Args: + start_vector (Array, optional): (n,) or (n, b) vector to start the algorithm. + max_iters (int, optional): The maximum number of iterations to run. + tol (float, optional): Relative error tolerance. + pbar (bool, optional): Whether to show progress bar. + key (PRNGKey, optional): Random key to use for the algorithm. + PRNGKey for jax, long integer for numpy or pytorch. + + Example: + >>> A = MyLinearOperator() + >>> Q,T,info = Lanczos(max_iters=100,pbar=True)(A) + """ + start_vector: Array = None + max_iters: int = 1_000 + tol: float = 1e-6 + pbar: bool = False + key: Optional[PRNGKey] = None + + def __call__(self, A: LinearOperator): + return lanczos(A, **self.__dict__) + + +@dispatch +def cholesky(A: LinearOperator): + """ Performs a cholesky decomposition A=LL* of a linear operator A. + The returned operator L with triangular structure. + + (Implicitly assumes A is PSD) + """ + return Triangular(A.xnp.cholesky(A.to_dense()), lower=True) + + +@dispatch +def cholesky(A: Identity): + return A + + +@dispatch +def cholesky(A: Diagonal | ScalarMul): + return cola.linalg.sqrt(A, Auto()) + + +@dispatch +def cholesky(A: Kronecker): + # see https://www.math.uwaterloo.ca/~hwolkowi/henry/reports/kronthesisschaecke04.pdf + return Kronecker(*[cholesky(Ai) for Ai in A.Ms]) + + +@dispatch +def cholesky(A: BlockDiag): + return BlockDiag(*[cholesky(Ai) for Ai in A.Ms], multiplicities=A.multiplicities) + + +@dispatch +def plu(A: LinearOperator): + """ Performs a cholesky decomposition A=PLU of a linear operator A. + The returns P, L, U as linear operators, but represented using + the triangular (and permutation) structure """ + p, L, U = A.xnp.lu(A.to_dense()) + P, L, U = Permutation(p), Triangular(L, lower=True), Triangular(U, lower=False) + P, L, U = P.to(A.device), L.to(A.device), U.to(A.device) + return P, L, U + + +@dispatch +def plu(A: Identity): + return A, A, A + + +@dispatch +def plu(A: Diagonal | ScalarMul): + S = cola.linalg.sqrt(A) + return cola.ops.I_like(A), S, S + + +@dispatch +def plu(A: Kronecker): + # see https://www.math.uwaterloo.ca/~hwolkowi/henry/reports/kronthesisschaecke04.pdf + P, L, U = zip(*[plu(Ai) for Ai in A.Ms]) + return Kronecker(*P), Kronecker(*L), Kronecker(*U) + + +@dispatch +def plu(A: BlockDiag): + P, L, U = zip(*[plu(Ai) for Ai in A.Ms]) + BD = lambda *args: BlockDiag(*args, multiplicities=A.multiplicities) # noqa + return BD(*P), BD(*L), BD(*U) diff --git a/cola/algorithms/lanczos.py b/cola/linalg/decompositions/lanczos.py similarity index 90% rename from cola/algorithms/lanczos.py rename to cola/linalg/decompositions/lanczos.py index 88654297..903554a8 100644 --- a/cola/algorithms/lanczos.py +++ b/cola/linalg/decompositions/lanczos.py @@ -1,23 +1,10 @@ from cola import SelfAdjoint, Unitary from cola.fns import lazify from cola.ops import Array, LinearOperator, Dense, Tridiagonal -from cola.utils import export +# from cola.utils import export import cola -def lanczos_max_eig(A: LinearOperator, rhs: Array, max_iters: int, tol: float = 1e-7): - """ - Computes the maximum eigenvalue using lanczos - - A: LinearOperator (n, n) positive definite - rhs: Array (n, b) multiple right hands or (n,) single vector (usually randomly sampled) - max_iters: int maximum number of iters to run lanczos - tol: float: tolerance criteria to stop lanczos - """ - eigvals, *_ = lanczos_eigs(A=A, start_vector=rhs, max_iters=max_iters, tol=tol) - return eigvals[-1] - - def lanczos_eig_bwd(res, grads, unflatten, *args, **kwargs): val_grads, eig_grads, _ = grads op_args, (eig_vals, eig_vecs, _) = res @@ -46,9 +33,9 @@ def altogether(*theta): # @export # @iterative_autograd(lanczos_eig_bwd) -@export +# @export def lanczos_eigs(A: LinearOperator, start_vector: Array = None, max_iters: int = 100, tol: float = 1e-7, - pbar: bool = False): + pbar: bool = False, key=None): """ Computes the eigenvalues and eigenvectors using Lanczos. @@ -59,6 +46,7 @@ def lanczos_eigs(A: LinearOperator, start_vector: Array = None, max_iters: int = max_iters (int): The maximum number of iterations to run. tol (float, optional): Stopping criteria. pbar (bool, optional): Show a progress bar. + key (PNRGKey, optional): PRNGKey for random number generation. Returns: tuple: @@ -68,9 +56,7 @@ def lanczos_eigs(A: LinearOperator, start_vector: Array = None, max_iters: int = """ xnp = A.xnp - if start_vector is None: - start_vector = xnp.randn(A.shape[0], dtype=A.dtype, device=A.device) - Q, T, info = lanczos(A=A, start_vector=start_vector, max_iters=max_iters, tol=tol, pbar=pbar) + Q, T, info = lanczos(A=A, start_vector=start_vector, max_iters=max_iters, tol=tol, pbar=pbar, key=key) eigvals, eigvectors = xnp.eigh(T.to_dense()) idx = xnp.argsort(eigvals, axis=-1) V = Q @ lazify(eigvectors[:, idx]) @@ -87,7 +73,7 @@ def LanczosDecomposition(A: LinearOperator, start_vector=None, max_iters=100, to return A_approx -def lanczos(A: LinearOperator, start_vector: Array = None, max_iters=100, tol=1e-7, pbar=False): +def lanczos(A: LinearOperator, start_vector: Array = None, max_iters=100, tol=1e-7, pbar=False, key=None): """ Computes the Lanczos decomposition of a the operator A, A = Q T Q^*. @@ -97,6 +83,7 @@ def lanczos(A: LinearOperator, start_vector: Array = None, max_iters=100, tol=1e Defaults to a random probe vector (n, ). max_iters (int, optional): The maximum number of iterations to run. tol (float, optional): Stopping criteria. + key (PNRGKey, optional): PRNGKey for random number generation. Returns: tuple: @@ -113,7 +100,8 @@ def lanczos(A: LinearOperator, start_vector: Array = None, max_iters=100, tol=1e xnp = A.xnp max_iters = min(max_iters, A.shape[0]) if start_vector is None: - start_vector = xnp.randn(A.shape[0], dtype=A.dtype, device=A.device) + key = xnp.PRNGKey(42) if key is None else key + start_vector = xnp.randn(A.shape[0], dtype=A.dtype, device=A.device, key=key) if len(start_vector.shape) == 1: rhs = start_vector[:, None] diff --git a/cola/linalg/diag_trace.py b/cola/linalg/diag_trace.py deleted file mode 100644 index 1f7493b7..00000000 --- a/cola/linalg/diag_trace.py +++ /dev/null @@ -1,143 +0,0 @@ -import numpy as np -from functools import reduce -from cola.utils import export, dispatch -from cola.ops import LinearOperator, I_like, Diagonal, Identity -from cola.ops import BlockDiag, ScalarMul, Sum, Dense, Array -from cola.ops import Kronecker, KronSum -from cola.algorithms import exact_diag, approx_diag - - -@dispatch -@export -def diag(v: Array, k=0, **kwargs): - """ Constructs a diagonal matrix with the given vector on the diagonal. """ - assert k == 0, "Off diagonal diag not yet supported" - assert len(v.shape) == 1, f"Unknown input {v.shape}" - return Diagonal(v) - - -@dispatch -def diag(A: LinearOperator, k=0, **kwargs): - r""" Extract the (kth) diagonal of a linear operator. - - Uses either :math:`O(\tfrac{1}{\delta^2})` time stochastic estimation (Hutchinson estimator) - or a deterministic :math:`O(n)` time algorithm if :math:`\delta < 1/\sqrt{10n}`, where - :math:`\delta=` tol is the standard deviation of the estimate. - If you unly need unbiased estimates, set tol to be very high. - - Args: - A (LinearOperator): The linear operator to compute the logdet of. - tol (float, optional): Tolerance for the variance (std) of the solution, - returns a stochastic estimate if large enough to save a substantial computation. - If you want the stochastic estimate, you will need to choose fairly large values, - e.g. 1e-2. Default: 1e-6. - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - method (str, optional): Directly specify method, defaults to 'auto', - options are 'auto', 'exact', 'approx'. - - Returns: - Array: diag""" - kws = dict(tol=1e-6, pbar=False, max_iters=5000, method='auto') - kws.update(kwargs) - method = kws.pop('method') - exact_faster = (kws['tol'] < 1 / np.sqrt(10 * A.shape[-1])) - if method == 'exact' or (method == 'auto' and exact_faster): - out, _ = exact_diag(A, k=k, **kws) - elif method == 'approx' or (method == 'auto' and exact_faster): - out, _ = approx_diag(A, k=k, **kws) - # out.info = info - return out - - -@dispatch -def diag(A: Dense, k=0, **kwargs): - xnp = A.xnp - return xnp.diag(A.A, diagonal=k) - - -@dispatch -def diag(A: Identity, k=0, **kwargs): - if k == 0: - return A.xnp.ones((A.shape[0], ), A.dtype, device=A.device) - else: - return A.xnp.zeros((A.shape[0] - abs(k), ), A.dtype, device=A.device) - - -@dispatch -def diag(A: Diagonal, k=0, **kwargs): - if k == 0: - return A.diag - else: - return A.xnp.zeros((A.shape[0] - abs(k), ), A.dtype, device=A.device) - - -@dispatch -def diag(A: Sum, k=0, **kwargs): - out = sum(diag(M, k=k, **kwargs) for M in A.Ms) - # out.info = {'sum': [(M.info if hasattr(M,'info') else {}) for M in A.Ms]} - return out - - -@dispatch -def diag(A: BlockDiag, k=0, **kwargs): - assert k == 0, "Havent filled this case yet, need to pad with 0s" - diags = [[diag(M, **kwargs)] * m for M, m in zip(A.Ms, A.multiplicities)] - return A.xnp.concatenate([item for sublist in diags for item in sublist]) - - -@dispatch -def diag(A: ScalarMul, k=0, **kwargs): - return A.c * diag(I_like(A), k=k, **kwargs) - - -def product(c): - return reduce(lambda a, b: a * b, c) - - -@dispatch -def diag(A: Kronecker, k=0, **kwargs): - assert k == 0, "Need to verify correctness of rule for off diagonal case" - ds = [diag(M, **kwargs) for M in A.Ms] - # compute outer product of the diagonals - slices = [[None] * i + [slice(None)] + [None] * (len(ds) - i - 1) for i in range(len(ds))] - return product([d[tuple(s)] for d, s in zip(ds, slices)]).reshape(-1) - - -@dispatch -def diag(A: KronSum, k=0, **kwargs): - assert k == 0, "Need to verify correctness of rule for off diagonal case" - ds = [diag(M, **kwargs) for M in A.Ms] - # compute outer product of the diagonals - slices = [[None] * i + [slice(None)] + [None] * (len(ds) - i - 1) for i in range(len(ds))] - return sum([d[tuple(s)] for d, s in zip(ds, slices)]).reshape(-1) - - -@dispatch -@export -def trace(A: LinearOperator, **kwargs): - r""" Compute the trace of a linear operator tr(A). - - Uses either :math:`O(\tfrac{1}{\delta^2})` time stochastic estimation (Hutchinson estimator) - or a deterministic :math:`O(n)` time algorithm if :math:`\delta < 1/\sqrt{10n}`, where - :math:`\delta=` tol is the standard deviation of the estimate. - If you unly need unbiased estimates, set tol to be very high. - - Args: - A (LinearOperator): The linear operator to compute the logdet of. - tol (float, optional): Tolerance for the variance (std) of the solution, - returns a stochastic estimate if large enough to save a substantial computation. - If you want the stochastic estimate, you will need to choose fairly large values, - e.g. 1e-2. Default: 1e-6. - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - method (str, optional): Directly specify method, defaults to 'auto', - options are 'auto', 'exact', 'approx'. - - Returns: - Array: trace""" - assert A.shape[0] == A.shape[1], "Can't trace non square matrix" - return diag(A, k=0, **kwargs).sum() - - -@dispatch -def trace(A: Kronecker, **kwargs): - return product([trace(M, **kwargs) for M in A.Ms]) diff --git a/cola/linalg/eig/__init__.py b/cola/linalg/eig/__init__.py new file mode 100644 index 00000000..ac4dec98 --- /dev/null +++ b/cola/linalg/eig/__init__.py @@ -0,0 +1,6 @@ +import pkgutil +from cola.utils import import_from_all + +__all__ = [] +for loader, module_name, is_pkg in pkgutil.walk_packages(__path__): + import_from_all(module_name, globals(), __all__, __name__) diff --git a/cola/linalg/eig/eigs.py b/cola/linalg/eig/eigs.py new file mode 100644 index 00000000..f1d8a84b --- /dev/null +++ b/cola/linalg/eig/eigs.py @@ -0,0 +1,189 @@ +import numpy as np +from plum import dispatch +from cola.annotations import Unitary, Stiefel +from cola.fns import lazify +from cola.annotations import SelfAdjoint +from cola.linalg.trace.diag_trace import diag +from cola.ops.operator_base import LinearOperator +from cola.ops.operators import Diagonal +from cola.ops.operators import I_like +from cola.ops.operators import Identity +from cola.ops.operators import Triangular +from cola.linalg.decompositions.lanczos import lanczos_eigs +from cola.linalg.decompositions.arnoldi import arnoldi_eigs +from cola.linalg.algorithm_base import Algorithm, Auto +from cola.linalg.decompositions.decompositions import Arnoldi, Lanczos +from cola.linalg.eig.power_iteration import PowerIteration +from cola.linalg.unary.unary import Eig, Eigh +from cola.utils import export + + +@export +@dispatch.abstract +def eig(A: LinearOperator, k: int = -1, which: str = 'LM', alg: Algorithm = Auto()): + """ + Computes eigenvalues and eigenvectors of a linear operator. + + Args: + A (LinearOperator): The linear operator for which eigenvalues and eigenvectors are computed. + k (int): The desired number of eigenvalues and eigenvectors. Must be specified. + which (str): From what part of the spectrum would de eigenvalues be fetched. + Default is 'LM' (largest in magnitude) but alternatively you can use 'SM' + (smallest in magnitude). + alg (Algorithm): (Auto, Eig, Eigh, Arnoldi, Lanczos) + + Returns: + Tuple[Array, LinearOperator]: A tuple containing eigenvalues and eigenvectors. + The eigenvalues are given by eig_vals and the eigenvectors are given + by eig_vecs. + + Example: + >>> A = MyLinearOperator() + >>> eig_vals, eig_vecs = eig(A, k=6, which='LM', alg=Auto(tol=1e-4)) + """ + + +@export +def eigmax(A: LinearOperator, alg: Algorithm = Auto()): + """ Find the maximum magnitude eigenvalue. + Equivalent to eig(A, k=1, which='LM') + + Args: + A (LinearOperator): The linear operator for which eigenvalues and eigenvectors are computed. + alg (Algorithm): (Auto, PowerIteration, Eig, Eigh, Arnoldi, Lanczos) + + Returns: + float: The maximum magnitude eigenvalue. + """ + es, vs = eig(A, k=1, which='LM', alg=alg) + return es[0] + + +@export +def eigmin(A: LinearOperator, alg: Algorithm = Auto()): + """ Find the minimum magnitude eigenvalue. + Equivalent to eig(A, k=1, which='SM') + + Args: + A (LinearOperator): The linear operator for which eigenvalues and eigenvectors are computed. + alg (Algorithm): (Auto, PowerIteration, Eig, Eigh, Arnoldi, Lanczos) + + Returns: + float: The minimum magnitude eigenvalue. + """ + es, vs = eig(A, k=1, which='SM', alg=alg) + return es[0] + + +@dispatch(precedence=-1) +def eig(A: LinearOperator, k: int, which: str, alg: Auto): + """ Auto: + - if A is Hermitian and small, use Eigh + - if A is Hermitian and large, use Lanczos + - if A is not Hermitian and small, use Eig + - if A is not Hermitian and large, use Arnoldi + """ + SA = A.isa(SelfAdjoint) + small = bool(np.prod(A.shape) <= 1e6) + if k == 1 and which == 'LM': + algorithm = PowerIteration(**alg.__dict__) + elif SA and small: + algorithm = Eigh() + elif not SA and small: + algorithm = Eig() + elif SA and not small: + algorithm = Lanczos(**alg.__dict__) + elif not SA and not small: + algorithm = Arnoldi(**alg.__dict__) + return eig(A, k, which, algorithm) + + +@dispatch +def eig(A: LinearOperator, k: int, which: str, alg: Arnoldi): + eig_slice = get_slice(k, which) + eig_vals, eig_vecs, _ = arnoldi_eigs(A, **alg.__dict__) + return eig_vals[eig_slice], eig_vecs[:, eig_slice] + + +@dispatch +def eig(A: LinearOperator, k: int, which: str, alg: Lanczos): + assert A.isa(SelfAdjoint), "Lanczos only valid for SelfAdjoint, wrap in cola.SelfAdjoint if desired" + eig_slice = get_slice(k, which) + eig_vals, eig_vecs, _ = lanczos_eigs(A, **alg.__dict__) + return eig_vals[eig_slice], eig_vecs[:, eig_slice] + + +@dispatch(precedence=-1) +def eig(A: LinearOperator, k: int, which: str, alg: Eig): + eig_slice = get_slice(k, which) + eig_vals, eig_vecs = A.xnp.eig(A.to_dense()) + return eig_vals[eig_slice], lazify(eig_vecs[:, eig_slice]) + + +@dispatch(precedence=-1) +def eig(A: LinearOperator, k: int, which: str, alg: Eigh): + eig_slice = get_slice(k, which) + eig_vals, eig_vecs = A.xnp.eigh(A.to_dense()) + return eig_vals[eig_slice], Stiefel(lazify(eig_vecs[:, eig_slice])) + + +@dispatch(precedence=-1) +def eig(A: LinearOperator, k: int, which: str, alg: PowerIteration): + assert k == 1 and which == 'LM', "PowerIteration only valid for k=1 and which='LM'" + v, emax, _ = alg(A) + return emax[None], v[:, None] + + +@dispatch +def eig(A: Identity, k: int, which: str, alg: Algorithm): + eig_slice = get_slice(k, which) + xnp = A.xnp + eig_vals = xnp.ones(shape=(A.shape[0], ), dtype=A.dtype, device=A.device) + eig_vecs = A.to_dense() + return eig_vals[eig_slice], Unitary(lazify(eig_vecs[:, eig_slice])) + + +@dispatch +def eig(A: Triangular, k: int, which: str, alg: Algorithm): + # TODO: take out compute_lower_triangular_eigvecs + eig_slice = get_slice(k, which) + xnp = A.xnp + eig_vals = diag(A) + sorted_ind = xnp.argsort(eig_vals) + eig_vals = eig_vals[sorted_ind] + eig_vecs = compute_lower_triangular_eigvecs(np.array(A.A)) + eig_vecs = xnp.array(eig_vecs, dtype=A.dtype, device=A.device)[:, sorted_ind] + return eig_vals[eig_slice], Unitary(lazify(eig_vecs[:, eig_slice])) + + +def compute_lower_triangular_eigvecs(L): + eigvals = np.diag(L) + eigvecs = np.eye(L.shape[0]) + for i in range(1, L.shape[0]): + A = L[:i, :i] - eigvals[i] * np.eye(i) + out = np.linalg.solve(A, -L[:i, i]) + eigvecs[:i, i] = out + return eigvecs + + +@dispatch +def eig(A: Diagonal, k: int, which: str, alg: Algorithm): + eig_slice = get_slice(k, which) + xnp = A.xnp + sorted_ind = xnp.argsort(A.diag) + eig_vals = A.diag[sorted_ind] + eig_vecs = I_like(A).to_dense()[:, sorted_ind] + return eig_vals[eig_slice], Unitary(lazify(eig_vecs[:, eig_slice])) + + +def get_slice(num, which): + if num == -1: + raise ValueError(f"Number of eigenvalues {num} must be explicitly specified") + if which == "SM": + eig_slice = slice(0, num, None) + elif which == "LM": + id = -1 if num is None else -num + eig_slice = slice(id, None, None) + else: + raise NotImplementedError(f"which={which} is not implemented") + return eig_slice diff --git a/cola/algorithms/iram.py b/cola/linalg/eig/iram.py similarity index 100% rename from cola/algorithms/iram.py rename to cola/linalg/eig/iram.py diff --git a/cola/algorithms/lobpcg.py b/cola/linalg/eig/lobpcg.py similarity index 100% rename from cola/algorithms/lobpcg.py rename to cola/linalg/eig/lobpcg.py diff --git a/cola/algorithms/power_iteration.py b/cola/linalg/eig/power_iteration.py similarity index 55% rename from cola/algorithms/power_iteration.py rename to cola/linalg/eig/power_iteration.py index 15034fca..7e1f16ca 100644 --- a/cola/algorithms/power_iteration.py +++ b/cola/linalg/eig/power_iteration.py @@ -1,9 +1,37 @@ from cola.utils import export from cola.ops import LinearOperator +from cola.linalg.algorithm_base import Algorithm +from dataclasses import dataclass +from typing import Optional, Any + +PRNGKey = Any @export -def power_iteration(A: LinearOperator, tol=1e-7, max_iter=1000, pbar=False, momentum=None): +@dataclass +class PowerIteration(Algorithm): + """ Simple power iteration algorithm for finding the largest eigenvalue and eigenvector. + + Args: + tol (float, optional): Relative error tolerance. + max_iters (int, optional): The maximum number of iterations to run. + pbar (bool, optional): Whether to show progress bar. + key (PRNGKey, optional): Random key for reproducibility. + + Example: + >>> A = MyLinearOperator() + >>> v, eigmax, info = PowerIteration(tol=1e-3)(A) + """ + tol: float = 1e-06 + max_iter: int = 100 + pbar: bool = False + key: Optional[PRNGKey] = None + + def __call__(self, A: LinearOperator): + return power_iteration(A, tol=self.tol, max_iter=self.max_iter, pbar=self.pbar, key=self.key) + + +def power_iteration(A: LinearOperator, tol=1e-6, max_iter=1000, pbar=False, key=None, momentum=None): """ Performs power iteration to compute the dominant eigenvector and eigenvalue of the operator. @@ -13,7 +41,7 @@ def power_iteration(A: LinearOperator, tol=1e-7, max_iter=1000, pbar=False, mome tol (float, optional): Stopping criteria. max_iters (int, optional): The maximum number of iterations to run. pbar (bool, optional): Whether to show a progress bar. Defaults to False. - pbar (bool, optional): Show a progress bar. + key (PRNGKey, optional): Random key for reproducibility. Returns: tuple: @@ -22,7 +50,8 @@ def power_iteration(A: LinearOperator, tol=1e-7, max_iter=1000, pbar=False, mome - info (dict): General information about the iterative procedure. """ xnp = A.xnp - v = xnp.randn(*A.shape[-1:], dtype=A.dtype, device=A.device, key=xnp.PRNGKey(0)) + key = xnp.PRNGKey(42) if key is None else key + v = xnp.randn(*A.shape[-1:], dtype=A.dtype, device=A.device, key=key) @xnp.jit def body(state): diff --git a/cola/linalg/eigs.py b/cola/linalg/eigs.py deleted file mode 100644 index b51f431d..00000000 --- a/cola/linalg/eigs.py +++ /dev/null @@ -1,166 +0,0 @@ -import numpy as np -from math import prod -from plum import dispatch -from cola import SelfAdjoint -from cola import Unitary, Stiefel -from cola.fns import lazify -from cola.linalg import diag -from cola.ops import LinearOperator -from cola.ops import Diagonal -from cola.ops import I_like -from cola.ops import Identity -from cola.ops import Triangular -from cola.algorithms import power_iteration -from cola.algorithms.lanczos import lanczos_eigs -from cola.algorithms.arnoldi import arnoldi_eigs -from cola.utils import export - - -@dispatch -@export -def eig(A: LinearOperator, **kwargs): - """ - Computes eigenvalues and eigenvectors of a linear operator. - - Args: - A (LinearOperator): The linear operator for which eigenvalues and eigenvectors are computed. - num (int): The desired number of eigenvalues and eigenvectors. - Default is None which gets all available. - which (str): From what part of the spectrum would de eigenvalues be fetched. - Default is 'LM' (largest in magnitude) but alternatively you can use 'SM' - (smallest in magnitude). - tol (float): Optional. Tolerance for convergence. Default is 1e-6. - pbar (bool): Optional. Whether to display a progress bar during computation. - Default is False. - method (str): Optional. Method to use for computation. - 'dense' computes eigenvalues and eigenvectors using dense matrix operations. - 'iterative' computes using Lanczos or Arnoldi iteration. 'auto' automatically selects the - method based on the size of the linear operator. Default is 'auto'. - max_iters (int): Optional. Maximum number of iterations for Arnoldi method. Default is 1000. - - Returns: - Tuple[Array, Array]: A tuple containing eigenvalues and eigenvectors. - The eigenvalues are given by eig_vals and the eigenvectors are given - by eig_vecs. - - Example: - >>> A = MyLinearOperator() - >>> eig_vals, eig_vecs = eig(A, num=6, which='LM', tol=1e-4) - """ - kws = dict(num=None, which="LM", tol=1e-6, pbar=False, method='auto', max_iters=1000) - assert not kwargs.keys() - kws.keys(), f"Unknown kwargs {kwargs.keys()-kws.keys()}" - kws.update(kwargs) - method = kws.pop('method') - eig_slice = get_slice(kws.pop('num'), kws.pop('which')) - xnp = A.xnp - if method == 'dense' or (method == 'auto' and prod(A.shape) < 1e6): - eig_vals, eig_vecs = xnp.eig(A.to_dense()) - return eig_vals[eig_slice], lazify(eig_vecs[:, eig_slice]) - elif method in ('arnoldi', 'iterative') or (method == 'auto' and prod(A.shape) >= 1e6): - eig_vals, eig_vecs, _ = arnoldi_eigs(A, **kws) - return eig_vals, eig_vecs - else: - raise ValueError(f"Unknown method {method}") - - -@dispatch(cond=lambda A, **kwargs: A.isa(SelfAdjoint)) -def eig(A: LinearOperator, **kwargs): - kws = dict(num=None, which="LM", tol=1e-6, pbar=False, method='auto', max_iters=1000) - assert not kwargs.keys() - kws.keys(), f"Unknown kwargs {kwargs.keys()-kws.keys()}" - kws.update(kwargs) - method = kws.pop('method') - eig_slice = get_slice(kws.pop('num'), kws.pop('which')) - xnp = A.xnp - if method == 'dense' or (method == 'auto' and prod(A.shape) < 1e6): - eig_vals, eig_vecs = xnp.eigh(A.to_dense()) - return eig_vals[eig_slice], Stiefel(lazify(eig_vecs[:, eig_slice])) - elif method in ('lanczos', 'iterative') or (method == 'auto' and prod(A.shape) >= 1e6): - eig_vals, eig_vecs, _ = lanczos_eigs(A, **kws) - return eig_vals, eig_vecs - else: - raise ValueError(f"Unknown method {method} for SelfAdjoint operator") - - -@dispatch -def eig(A: Identity, num=None, which="LM", **kwargs): - eig_slice = get_slice(num, which) - xnp = A.xnp - eig_vals = xnp.ones(shape=(A.shape[0], ), dtype=A.dtype, device=A.device) - eig_vecs = A.to_dense() - return eig_vals[eig_slice], Unitary(lazify(eig_vecs[:, eig_slice])) - - -@dispatch -def eig(A: Triangular, num=None, which="LM", **kwargs): - # TODO: take out compute_lower_triangular_eigvecs - eig_slice = get_slice(num, which) - xnp = A.xnp - eig_vals = diag(A) - sorted_ind = xnp.argsort(eig_vals) - eig_vals = eig_vals[sorted_ind] - eig_vecs = compute_lower_triangular_eigvecs(np.array(A.A)) - eig_vecs = xnp.array(eig_vecs, dtype=A.dtype, device=A.device)[:, sorted_ind] - return eig_vals[eig_slice], Unitary(lazify(eig_vecs[:, eig_slice])) - - -def compute_lower_triangular_eigvecs(L): - eigvals = np.diag(L) - eigvecs = np.eye(L.shape[0]) - for i in range(1, L.shape[0]): - A = L[:i, :i] - eigvals[i] * np.eye(i) - out = np.linalg.solve(A, -L[:i, i]) - eigvecs[:i, i] = out - return eigvecs - - -@dispatch -def eig(A: Diagonal, num=None, which="LM", **kwargs): - eig_slice = get_slice(num, which) - xnp = A.xnp - sorted_ind = xnp.argsort(A.diag) - eig_vals = A.diag[sorted_ind] - eig_vecs = I_like(A).to_dense()[:, sorted_ind] - return eig_vals[eig_slice], Unitary(lazify(eig_vecs[:, eig_slice])) - - -@export -def eigmax(A: LinearOperator, tol=1e-7, max_iters=1000, pbar=False, return_vec=False): - """ Returns eigenvalue with largest magnitude of A up to specified tolerance tol. - If return_vec=True, also returns the corresponding eigenvector. - - Args: - A (LinearOperator): The linear operator for which to compute the eigenvalue. - tol (float, optional): Tolerance for convergence. Default is 1e-7. - max_iters (int, optional): Maximum number of iterations. Default is 1000. - pbar (bool, optional): Whether to display a progress bar. Default is False. - return_vec (bool, optional): Whether to compute and return the - corresponding eigenvector. Default is False. - - Returns: - float or tuple: The eigenvalue with the largest magnitude of A. - If `return_vec` is True, a tuple (eigenvalue, eigenvector) is returned. - - Example: - >>> eig = eigmax(A, tol=1e-3) - >>> eig, vec = eigmax(A, tol=1e-3, return_vec=True) - """ - v0, e0, _ = power_iteration(A, tol=tol, max_iter=max_iters, pbar=pbar) - return e0 if not return_vec else (e0, v0) - - -# @export -def eigmin(A: LinearOperator, tol=1e-7): - """ Returns eigenvalue with smallest magnitude of A - up to specified tolerance tol.""" - raise NotImplementedError - - -def get_slice(num, which): - if which == "LM": - eig_slice = slice(0, num, None) - elif which == "SM": - id = -1 if num is None else -num - eig_slice = slice(id, None, None) - else: - raise NotImplementedError(f"which={which} is not implemented") - return eig_slice diff --git a/cola/linalg/inv.py b/cola/linalg/inv.py deleted file mode 100644 index c9b4206c..00000000 --- a/cola/linalg/inv.py +++ /dev/null @@ -1,170 +0,0 @@ -import numpy as np -from plum import dispatch -from cola.ops import LinearOperator -from cola.ops import Diagonal, Permutation -from cola.ops import Identity -from cola.ops import ScalarMul -from cola.ops import BlockDiag, Triangular -from cola.ops import Kronecker, Product -from cola.algorithms.cg import cg -from cola.algorithms.gmres import gmres -from cola.algorithms.svrg import solve_svrg_symmetric -from plum import parametric -from cola.utils import export -from cola.annotations import PSD, Unitary -import cola - - -@parametric -class IterativeInv(LinearOperator): - def __str__(self): - return f"{str(self.A)}⁻¹" - - -class CGInv(IterativeInv): - def __init__(self, A, **kwargs): - super().__init__(A.dtype, A.shape, annotations={PSD}) - self.A = A - self.kwargs = kwargs - self.info = {} - - def _matmat(self, X): - out, self.info = cg(self.A, X, **self.kwargs) - return out - - -class GMResInv(IterativeInv): - def __init__(self, A, **kwargs): - super().__init__(A.dtype, A.shape) - self.A = A - self.kwargs = kwargs - self.info = {} - - def _matmat(self, X): - out, self.info = gmres(self.A, X, **self.kwargs) - return out - - -class SymmetricSVRGInv(IterativeInv): - def __init__(self, A, **kwargs): - super().__init__(A.dtype, A.shape) - self.A = A - self.kwargs = kwargs - self.info = {} - - def _matmat(self, X): - out, self.info = solve_svrg_symmetric(self.A, X, **self.kwargs) - return out - - -class GenericSVRGInv(IterativeInv): - pass - - -@parametric -class TriangularInv(LinearOperator): - def __init__(self, A: Triangular): - super().__init__(A.dtype, A.shape) - self.A = A.to_dense() - self.lower = A.lower - - def _matmat(self, X): - return self.xnp.solvetri(self.A, X, lower=self.lower) - - def _rmatmat(self, X): - return self.xnp.solvetri(self.A.T, X.T, lower=not self.lower).T - - -@dispatch -@export -def inv(A: LinearOperator, **kwargs): - """(lazily) computes the inverse of a linear operator, equivalent to solve. - - Args: - A (LinearOperator): The linear operator to compute the inverse of. - tol (float, optional): The tolerance criteria. Defaults to 1e-6. - P (array, optional): Preconditioner matrix - x0 (array, optional): The initial guess for the solution - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 5000. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative', 'svrg'. - - Returns: - LinearOperator: The inverse of the linear operator. - - Example: - >>> A = MyLinearOperator() - >>> x = cola.inverse(A) @ b - - """ - kws = dict(method="auto", tol=1e-6, P=None, x0=None, pbar=False, max_iters=5000) - assert not kwargs.keys() - kws.keys(), f"Unknown kwargs {kwargs.keys()-kws.keys()}" - kws.update(kwargs) - method = kws.pop('method', 'auto') - if method == 'dense' or (method == 'auto' and np.prod(A.shape) <= 1e6): - return inv(cola.decompositions.lu_decomposed(A)) - elif method == 'iterative' or (method == 'auto' and np.prod(A.shape) > 1e6): - return GMResInv(A, **kws) - else: - raise ValueError(f"Unknown method {method} or CoLA didn't fit any selection criteria") - - -@dispatch(cond=lambda A, **kwargs: A.isa(PSD)) -def inv(A: LinearOperator, **kwargs): - kws = dict(method="auto", tol=1e-6, P=None, x0=None, pbar=False, max_iters=5000) - assert not kwargs.keys() - kws.keys(), f"Unknown kwargs {kwargs.keys()-kws.keys()}" - kws.update(kwargs) - method = kws.pop('method', 'auto') - if method == 'dense' or (method == 'auto' and np.prod(A.shape) <= 1e6): - return inv(cola.decompositions.cholesky_decomposed(A)) - if method == 'iterative' or (method == 'auto' and np.prod(A.shape) > 1e6): - return CGInv(A, **kws) - else: - raise ValueError(f"Unknown method {method} or CoLA didn't fit any selection criteria") - - -@dispatch(cond=lambda A, **kwargs: A.isa(Unitary)) -def inv(A: LinearOperator, **kwargs): - return Unitary(A.H) - - -@dispatch -def inv(A: Identity, **kwargs): - return A - - -@dispatch -def inv(A: ScalarMul, **kwargs): - return ScalarMul(1 / A.c, shape=A.shape, dtype=A.dtype) - - -@dispatch -def inv(A: Permutation, **kwargs): - return Permutation(A.xnp.argsort(A.perm), A.dtype) - - -@dispatch(cond=lambda A, **kwargs: all([M.shape[-2] == M.shape[-1] for M in A.Ms])) -def inv(A: Product, **kwargs): - output = reversed([inv(M, **kwargs) for M in A.Ms]) - return Product(*output) - - -@dispatch -def inv(A: BlockDiag, **kwargs): - return BlockDiag(*[inv(M, **kwargs) for M in A.Ms], multiplicities=A.multiplicities) - - -@dispatch -def inv(A: Kronecker, **kwargs): - return Kronecker(*[inv(M, **kwargs) for M in A.Ms]) - - -@dispatch -def inv(A: Diagonal, **kwargs): - return Diagonal(1. / A.diag) - - -@dispatch -def inv(A: Triangular, **kwargs): - return TriangularInv(A) diff --git a/cola/linalg/inverse/__init__.py b/cola/linalg/inverse/__init__.py new file mode 100644 index 00000000..ac4dec98 --- /dev/null +++ b/cola/linalg/inverse/__init__.py @@ -0,0 +1,6 @@ +import pkgutil +from cola.utils import import_from_all + +__all__ = [] +for loader, module_name, is_pkg in pkgutil.walk_packages(__path__): + import_from_all(module_name, globals(), __all__, __name__) diff --git a/cola/algorithms/cg.py b/cola/linalg/inverse/cg.py similarity index 83% rename from cola/algorithms/cg.py rename to cola/linalg/inverse/cg.py index 9de1a4f5..b5abab60 100644 --- a/cola/algorithms/cg.py +++ b/cola/linalg/inverse/cg.py @@ -1,13 +1,41 @@ +from cola.linalg.algorithm_base import Algorithm from cola.ops import Array from cola.ops import LinearOperator from cola.ops import I_like from cola.utils.custom_autodiff import iterative_autograd from cola.utils import export +from dataclasses import dataclass _small_value = 1e-40 @export +@dataclass +class CG(Algorithm): + """ Conjugate gradients algorithm Solves Ax=b or AX=B (multiple rhs). + + The runtime is bounded by :math:`O(\\sqrt{\\kappa})` and + it uses :math:`O(n)` memory. + Where :math:`\\kappa` is the condition number of the linear operator. + Optionally, you can use a preconditioner (approx of A⁻¹) to accelerate convergence. + + Args: + tol (float, optional): Relative error tolerance. + max_iters (int, optional): The maximum number of iterations to run. + pbar (bool, optional): Whether to show progress bar. + x0 (Array, optional): (n,) or (n, b) guess for initial solution. + P (LinearOperator, optional): Preconditioner. Defaults to the identity. + """ + tol: float = 1e-6 + max_iters: int = 1000 + pbar: bool = False + x0: Array = None + P: LinearOperator = None + + def __call__(self, A, b): + return cg(A, b, **self.__dict__) + + def cg(A: LinearOperator, rhs: Array, x0=None, P=None, tol=1e-6, max_iters=5000, pbar=False): """ Solves Ax=b or AX=B using conjugate gradients (CG). diff --git a/cola/algorithms/gmres.py b/cola/linalg/inverse/gmres.py similarity index 78% rename from cola/algorithms/gmres.py rename to cola/linalg/inverse/gmres.py index 5f79a521..d11b05e5 100644 --- a/cola/algorithms/gmres.py +++ b/cola/linalg/inverse/gmres.py @@ -1,12 +1,41 @@ from cola.ops import LinearOperator from cola.ops import Array -# from cola.algorithms.arnoldi import run_householder_arnoldi -from cola.algorithms.arnoldi import arnoldi +from cola.linalg.decompositions.arnoldi import arnoldi from cola.utils import export from cola.utils.custom_autodiff import iterative_autograd +from cola.linalg.algorithm_base import Algorithm +from dataclasses import dataclass @export +@dataclass +class GMRES(Algorithm): + """ + Generalized Minimal Residual algorith (GMRES) for soving Ax=b or AX=B (multiple rhs). + + The runtime is bounded by :math:`O(\\sqrt{\\kappa})` and + it uses :math:`O(m n)` memory. + Where :math:`\\kappa` is the condition number of the linear operator, + n is the size of A and m represents the max iters. + Optionally, you can use a preconditioner (approx of A⁻¹) to accelerate convergence. + + Args: + tol (float, optional): Relative error tolerance for Arnoldi. + max_iters (int, optional): The maximum number of iterations to run in Arnoldi. + pbar (bool, optional): Whether to show progress bar. + x0 (Array, optional): (n,) or (n, b) guess for initial solution. + P (LinearOperator, optional): Preconditioner. Defaults to the identity. + """ + tol: float = 1e-6 + max_iters: int = 1000 + pbar: bool = False + x0: Array = None + P: LinearOperator = None + + def __call__(self, A, b): + return gmres(A, b, **self.__dict__) + + def gmres(A: LinearOperator, rhs: Array, x0=None, max_iters=100, tol=1e-7, P=None, use_householder=False, use_triangular=False, pbar=False): """ diff --git a/cola/linalg/inverse/inv.py b/cola/linalg/inverse/inv.py new file mode 100644 index 00000000..da04a698 --- /dev/null +++ b/cola/linalg/inverse/inv.py @@ -0,0 +1,162 @@ +import numpy as np +from plum import parametric +from plum import dispatch +from cola.ops.operators import LinearOperator +from cola.ops.operators import Diagonal, Permutation +from cola.ops.operators import Identity +from cola.ops.operators import ScalarMul +from cola.ops.operators import BlockDiag, Triangular +from cola.ops.operators import Kronecker, Product +from cola.utils import export +from cola.annotations import PSD, Unitary +from cola.linalg.algorithm_base import Algorithm, Auto +from cola.linalg.decompositions.decompositions import Cholesky, LU +from cola.linalg.decompositions.decompositions import plu, cholesky +from cola.linalg.algorithm_base import IterativeOperatorWInfo +from cola.linalg.inverse.cg import CG +from cola.linalg.inverse.gmres import GMRES + + +@export +def solve(A, b, alg=Auto()): + """ Computes Linear solve of a linear operator. Equivalent to cola.inv + + Args: + A (LinearOperator): The linear operator to compute the inverse of. + b (Array): The right hand side of the linear system of shape (d, ) or (d, k) + alg (Algorithm, optional): The algorithm to use for the solves. + + Returns: + Array: The solution of the linear system of shape (d, ) or (d, k) + + Example: + >>> A = MyLinearOperator() + >>> x = cola.solve(A, b, alg=Auto(max_iters=10, pbar=True)) + """ + return inv(A, alg) @ b + + +@export +@dispatch.abstract +def inv(A: LinearOperator, alg: Algorithm = Auto()): + """(lazily) computes the inverse of a linear operator, equivalent to solve. + + Args: + A (LinearOperator): The linear operator to compute the inverse of. + alg (Algorithm, optional): The algorithm to use for the solves. + + Returns: + LinearOperator: The inverse of the linear operator. + + Example: + >>> A = MyLinearOperator() + >>> x = cola.inverse(A, alg=CG(tol=1e-3)) @ b + + """ + + +@dispatch +def inv(A: LinearOperator, alg: GMRES): + return IterativeOperatorWInfo(A, alg) + + +@dispatch(precedence=-1) +def inv(A: LinearOperator, alg: CG): + assert A.isa(PSD), "CG only valid for PSD matrices, wrap in cola.PSD if desired" + return IterativeOperatorWInfo(A, alg) + + +@export +@dispatch(precedence=-1) +def inv(A: LinearOperator, alg: Auto): + """ Auto: + - if A is PSD and small, use Cholesky + - if A is PSD and large, use CG + - if A is not PSD and small, use LU + - if A is not PSD and large, use GMRES + """ + match (A.isa(PSD), bool(np.prod(A.shape) <= 1e6)): + case (True, True): + alg = Cholesky() + case (True, False): + alg = CG(**alg.__dict__) + case (False, True): + alg = LU() + case (False, False): + alg = GMRES(**alg.__dict__) + case _: + assert False + return inv(A, alg) + + +@dispatch(precedence=-1) +def inv(A: LinearOperator, alg: Cholesky): + assert A.isa(PSD), "Cholesky only valid for PSD matrices, wrap in cola.PSD if desired" + L = cholesky(A) + return inv(L.H) @ inv(L) + + +@dispatch(precedence=-1) +def inv(A: LinearOperator, alg: LU): + P, L, U = plu(A) + return inv(U) @ inv(L) @ inv(P) + + +@dispatch(cond=lambda A, *_: A.isa(Unitary)) +def inv(A: LinearOperator, alg: Algorithm): + return Unitary(A.H) + + +@dispatch +def inv(A: Identity, alg: Algorithm): + return A + + +@dispatch +def inv(A: ScalarMul, alg: Algorithm): + return ScalarMul(1 / A.c, shape=A.shape, dtype=A.dtype) + + +@dispatch +def inv(A: Permutation, alg: Algorithm): + return Permutation(A.xnp.argsort(A.perm), A.dtype) + + +@dispatch(cond=lambda A, *_: all([M.shape[-2] == M.shape[-1] for M in A.Ms])) +def inv(A: Product, alg: Algorithm): + output = reversed([inv(M, alg) for M in A.Ms]) + return Product(*output) + + +@dispatch +def inv(A: BlockDiag, alg: Algorithm): + return BlockDiag(*[inv(M, alg) for M in A.Ms], multiplicities=A.multiplicities) + + +@dispatch +def inv(A: Kronecker, alg: Algorithm): + return Kronecker(*[inv(M, alg) for M in A.Ms]) + + +@dispatch +def inv(A: Diagonal, alg: Algorithm): + return Diagonal(1. / A.diag) + + +@dispatch +def inv(A: Triangular, alg: Algorithm): + return TriangularInv(A) + + +@parametric +class TriangularInv(LinearOperator): + def __init__(self, A: Triangular): + super().__init__(A.dtype, A.shape) + self.A = A.to_dense() + self.lower = A.lower + + def _matmat(self, X): + return self.xnp.solvetri(self.A, X, lower=self.lower) + + def _rmatmat(self, X): + return self.xnp.solvetri(self.A.T, X.T, lower=not self.lower).T diff --git a/cola/linalg/logdet.py b/cola/linalg/logdet.py deleted file mode 100644 index 1d4b8fd9..00000000 --- a/cola/linalg/logdet.py +++ /dev/null @@ -1,169 +0,0 @@ -from plum import dispatch -from cola.ops import LinearOperator, Triangular, Permutation, Identity, ScalarMul -from cola.ops import Diagonal, Kronecker, BlockDiag, Product -from cola.utils import export -from cola.annotations import PSD -from cola.algorithms import stochastic_lanczos_quad -import cola -import numpy as np -from functools import reduce - - -def product(xs): - return reduce(lambda x, y: x * y, xs, 1) - - -@export -def logdet(A: LinearOperator, **kwargs): - r""" Computes logdet of a linear operator. - - For large inputs (or with method='iterative'), - uses either :math:`O(\tfrac{1}{\delta^2}\log(1/\epsilon))` time stochastic algorithm (SLQ) - where :math:`\epsilon=` tol is the bias and :math:`\delta=` vtol is the standard deviation of - the estimate, or a deterministic :math:`O(n\log(1/\epsilon))` time algorithm if - :math:`\delta < 1/\sqrt{10n}`. - - Args: - A (LinearOperator): The linear operator to compute the logdet of. - tol (float, optional): Tolerance for the bias of the solution. Defaults to 1e-6. - vtol (float, optional): Tolerance for the variance (std) of the solution, - returns a stochastic estimate if large that saves considerable computation. . Default: 1e-6 - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 300. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative'. - - Returns: - Array: logdet - """ - _, ld = slogdet(A, **kwargs) - return ld - - -@dispatch -@export -def slogdet(A: LinearOperator, **kwargs): - r""" Computes sign and logdet of a linear operator. such that det(A) = sign(A) exp(logdet(A)) - - For large inputs (or with method='iterative'), - uses either :math:`O(\tfrac{1}{\delta^2}\log(1/\epsilon))` time stochastic algorithm (SLQ) - where :math:`\epsilon=` tol is the bias and :math:`\delta=` vtol - is the standard deviation of the estimate, - or a deterministic :math:`O(n\log(1/\epsilon))` time algorithm if :math:`\delta < 1/\sqrt{10n}`. - - Args: - A (LinearOperator): The linear operator to compute the logdet of. - tol (float, optional): Tolerance for the bias of the solution. Defaults to 1e-6. - vtol (float, optional): Tolerance for the variance (std) of the solution, - returns a stochastic estimate if large that saves considerable computation. Default: 1e-6 - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 300. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative', 'iterative-exact', 'iterative-stochastic' - - Returns: - Tuple[Array, Array]: sign, logdet - """ - kws = dict(method="auto", tol=1e-6, vtol=1e-6, pbar=False, max_iters=300) - # assert not kwargs.keys() - kws.keys(), f"Unknown kwargs {kwargs.keys()-kws.keys()}" - kws.update(kwargs) - method = kws.pop('method', 'auto') - shape_prod = np.prod(A.shape) - if method == 'dense' or (method == 'auto' and (np.prod(A.shape) <= 1e6 or kws['tol'] < 3e-2)): - return slogdet(cola.decompositions.lu_decomposed(A), method='dense', **kws) - elif 'iterative' in method or (method == 'auto' and (shape_prod > 1e6 and kws['tol'] >= 3e-2)): - A2 = PSD((A.H @ A) + 0. * cola.ops.I_like(A)) - return ValueError("Unknown phase"), logdet(A2, method='iterative', **kws) / 2. - else: - raise ValueError(f"Unknown method {method} or CoLA didn't fit any selection criteria") - - -@dispatch(cond=lambda A: A.isa(PSD)) -def slogdet(A: LinearOperator, **kwargs): - kws = dict(method="auto", tol=1e-6, vtol=1e-6, pbar=False, max_iters=300) - # assert not kwargs.keys() - kws.keys(), f"Unknown kwargs {kwargs.keys()-kws.keys()}" - kws.update(kwargs) - method = kws.pop('method', 'auto') - if method == 'dense' or (method == 'auto' and np.prod(A.shape) <= 1e6): - return slogdet(cola.decompositions.cholesky_decomposed(A), method='dense', **kws) - elif 'iterative' in method or (method == 'auto' and np.prod(A.shape) > 1e6): - tol, vtol = kws.pop('tol'), kws.pop('vtol') - stochastic_faster = (vtol >= 1 / np.sqrt(10 * A.shape[-1])) - if 'stochastic' in method or (stochastic_faster and 'exact' not in method): - trlogA = stochastic_lanczos_quad(A, A.xnp.log, tol=tol, vtol=vtol, **kws) - elif 'exact' in method or not stochastic_faster: - # TODO: explicit autograd rule for this case? - logA = cola.linalg.log(A, tol=tol, method='iterative', **kws) - trlogA = cola.linalg.trace(logA, method='exact', **kws) - else: - raise ValueError(f"Unknown method {method} or CoLA didn't fit any selection criteria") - one = A.xnp.array(1., dtype=A.dtype, device=A.device) - return one, trlogA - else: - raise ValueError(f"Unknown method {method} or CoLA didn't fit any selection criteria") - - -@dispatch(cond=lambda A, **kwargs: all([(Ai.shape[-2] == Ai.shape[-1]) for Ai in A.Ms])) -def slogdet(A: Product, **kwargs): - signs, logdets = zip(*[slogdet(Ai, **kwargs) for Ai in A.Ms]) - return product(signs), sum(logdets) - - -@dispatch -def slogdet(A: Identity, **kwargs): - xnp = A.xnp - zero = xnp.array(0., dtype=A.dtype, device=A.device) - return 1. + zero, zero - - -@dispatch -def slogdet(A: ScalarMul, **kwargs): - xnp = A.xnp - c = A.c - phase = c / xnp.abs(c) - return phase, xnp.log(xnp.abs(c)) - - -@dispatch -def slogdet(A: Diagonal, **kwargs): - xnp = A.xnp - mag = xnp.abs(A.diag) - phase = A.diag / mag - return xnp.prod(phase), xnp.sum(xnp.log(mag)) - - -@dispatch -def slogdet(A: Kronecker, **kwargs): - # logdet(Pi A_i \otimes I) = sum_i logdet(A_i) - signs, logdets = zip(*[slogdet(Ai, **kwargs) for Ai in A.Ms]) - sizes = [Ai.shape[-1] for Ai in A.Ms] - prod = product(sizes) - scaled_logdets = [logdets[i] * prod / sizes[i] for i in range(len(sizes))] - scaled_signs = [signs[i]**(prod / sizes[i]) for i in range(len(sizes))] - return product(scaled_signs), sum(scaled_logdets) - - -@dispatch -def slogdet(A: BlockDiag, **kwargs): - # logdet(\bigoplus A_i) = log \prod det(A_i) = sum_i logdet(A_i) - signs, logdets = zip(*[slogdet(Ai, **kwargs) for Ai in A.Ms]) - scaled_logdets = sum(ld * n for ld, n in zip(logdets, A.multiplicities)) - scaled_signs = product(s**n for s, n in zip(signs, A.multiplicities)) - return scaled_signs, scaled_logdets - - -@dispatch -def slogdet(A: Triangular, **kwargs): - xnp = A.xnp - diag = xnp.diag(A.A) - mag = xnp.abs(diag) - phase = diag / mag - return xnp.prod(phase), xnp.sum(xnp.log(mag)) - - -@dispatch -def slogdet(A: Permutation, **kwargs): - # TODO: count the parity of the permutation and return an error if it is odd - xnp = A.xnp - zero = xnp.array(0., dtype=A.dtype, device=A.device) - return 1. + zero, zero diff --git a/cola/linalg/logdet/__init__.py b/cola/linalg/logdet/__init__.py new file mode 100644 index 00000000..ac4dec98 --- /dev/null +++ b/cola/linalg/logdet/__init__.py @@ -0,0 +1,6 @@ +import pkgutil +from cola.utils import import_from_all + +__all__ = [] +for loader, module_name, is_pkg in pkgutil.walk_packages(__path__): + import_from_all(module_name, globals(), __all__, __name__) diff --git a/cola/linalg/logdet/logdet.py b/cola/linalg/logdet/logdet.py new file mode 100644 index 00000000..5ae8eec2 --- /dev/null +++ b/cola/linalg/logdet/logdet.py @@ -0,0 +1,174 @@ +import numpy as np +from functools import reduce +from plum import dispatch +from cola.annotations import PSD +from cola.ops.operators import LinearOperator, Triangular, Permutation, Identity, ScalarMul +from cola.ops.operators import Diagonal, Kronecker, BlockDiag, Product +from cola.utils import export +from cola.linalg.algorithm_base import Algorithm, Auto +from cola.linalg.decompositions.decompositions import Cholesky, LU, Arnoldi, Lanczos +from cola.linalg.decompositions.decompositions import plu, cholesky +from cola.linalg.trace.diag_trace import trace +from cola.linalg.unary.unary import log + + +def product(xs): + return reduce(lambda x, y: x * y, xs, 1) + + +@export +def logdet(A: LinearOperator, log_alg: Algorithm = Auto(), trace_alg: Algorithm = Auto()): + r""" Computes log determinant of a linear operator. + + For large inputs (or with method='iterative'), + uses either :math:`O(\tfrac{1}{\delta^2}\log(1/\epsilon))` time stochastic algorithm (SLQ) + where :math:`\epsilon=` tol is the bias and :math:`\delta=` vtol is the standard deviation of + the estimate, or a deterministic :math:`O(n\log(1/\epsilon))` time algorithm if + :math:`\delta < 1/\sqrt{10n}`. + + Args: + A (LinearOperator): The linear operator to compute the logdet of. + log_alg (Algorithm, optional): The algorithm to use for the log. + Specify LU() or Cholesky() for a dense approach. + trace_alg (Algorithm, optional): The algorithm to use for the trace computation. + + Returns: + Array: logdet + """ + _, ld = slogdet(A, log_alg=log_alg, trace_alg=trace_alg) + return ld + + +@export +@dispatch.abstract +def slogdet(A: LinearOperator, log_alg: Algorithm = Auto(), trace_alg: Algorithm = Auto()): + r""" Computes sign and logdet of a linear operator. such that det(A) = sign(A) exp(logdet(A)) + + Args: + A (LinearOperator): The linear operator to compute the logdet of. + log_alg (Algorithm, optional): The algorithm to use for the log. + Specify LU() or Cholesky() for a dense approach. + trace_alg (Algorithm, optional): The algorithm to use for the trace computation. + + Returns: + Tuple[Array, Array]: sign, logdet: logdet + # """ + # Args: + # A (LinearOperator): The linear operator to compute the logdet of. + # tol (float, optional): Tolerance for the bias of the solution. Defaults to 1e-6. + # vtol (float, optional): Tolerance for the variance (std) of the solution, + # returns a stochastic estimate if large that saves considerable computation. Default: 1e-6 + # pbar (bool, optional): Whether to show a progress bar. Defaults to False. + # max_iters (int, optional): The maximum number of iterations. Defaults to 300. + # method (str, optional): Method to use, defaults to 'auto', + # options are 'auto', 'dense', 'iterative', 'iterative-exact', 'iterative-stochastic' + + # Returns: + # Tuple[Array, Array]: sign, logdet + # """ + + +# ########### BASE CASES ############# +@dispatch(precedence=-1) +def slogdet(A: LinearOperator, log_alg: Auto, trace_alg: Algorithm): + is_PSD = A.isa(PSD) + small = np.prod(A.shape) <= 1e6 + if is_PSD and small: + log_alg = Cholesky() + elif not is_PSD and small: + log_alg = LU() + elif is_PSD and not small: + log_alg = Lanczos(**log_alg.__dict__) + elif not is_PSD and not small: + log_alg = Arnoldi(**log_alg.__dict__) + return slogdet(A, log_alg=log_alg, trace_alg=trace_alg) + + +@dispatch(precedence=-1) +def slogdet(A: LinearOperator, log_alg: Cholesky, trace_alg: Algorithm): + assert A.isa(PSD), "Cholesky only valid for PSD matrices, wrap in cola.PSD if necessary" + L = cholesky(A) + sign, logdet = slogdet(L, log_alg, trace_alg) + return sign * A.xnp.conj(sign), 2 * logdet + + +@dispatch(precedence=-1) +def slogdet(A: LinearOperator, log_alg: LU, trace_alg: Algorithm): + P, L, U = plu(A) + return slogdet(P @ L @ U, log_alg, trace_alg) + + +@dispatch(precedence=-1) +def slogdet(A: LinearOperator, log_alg: Lanczos | Arnoldi, trace_alg: Algorithm): + logA = log(A, log_alg) + trlogA = trace(logA, trace_alg) + mag = A.xnp.abs(trlogA) + phase = trlogA / mag + return phase, mag + + +# ############ DISPATCH RULES ############ +@dispatch(cond=lambda A, *_: all([(Ai.shape[-2] == Ai.shape[-1]) for Ai in A.Ms])) +def slogdet(A: Product, log_alg: Algorithm, trace_alg: Algorithm): + signs, logdets = zip(*[slogdet(Ai, log_alg, trace_alg) for Ai in A.Ms]) + return product(signs), sum(logdets) + + +@dispatch +def slogdet(A: Identity, log_alg: Algorithm, trace_alg: Algorithm): + xnp = A.xnp + zero = xnp.array(0., dtype=A.dtype, device=A.device) + return 1. + zero, zero + + +@dispatch +def slogdet(A: ScalarMul, log_alg: Algorithm, trace_alg: Algorithm): + xnp = A.xnp + c = A.c + phase = c / xnp.abs(c) + return phase, xnp.log(xnp.abs(c)) + + +@dispatch +def slogdet(A: Diagonal, log_alg: Algorithm, trace_alg: Algorithm): + xnp = A.xnp + mag = xnp.abs(A.diag) + phase = A.diag / mag + return xnp.prod(phase), xnp.sum(xnp.log(mag)) + + +@dispatch +def slogdet(A: Kronecker, log_alg: Algorithm, trace_alg: Algorithm): + # logdet(Pi A_i \otimes I) = sum_i logdet(A_i) + signs, logdets = zip(*[slogdet(Ai, log_alg, trace_alg) for Ai in A.Ms]) + sizes = [Ai.shape[-1] for Ai in A.Ms] + prod = product(sizes) + scaled_logdets = [logdets[i] * prod / sizes[i] for i in range(len(sizes))] + scaled_signs = [signs[i]**(prod / sizes[i]) for i in range(len(sizes))] + return product(scaled_signs), sum(scaled_logdets) + + +@dispatch +def slogdet(A: BlockDiag, log_alg: Algorithm, trace_alg: Algorithm): + # logdet(\bigoplus A_i) = log \prod det(A_i) = sum_i logdet(A_i) + signs, logdets = zip(*[slogdet(Ai, log_alg, trace_alg) for Ai in A.Ms]) + scaled_logdets = sum(ld * n for ld, n in zip(logdets, A.multiplicities)) + scaled_signs = product(s**n for s, n in zip(signs, A.multiplicities)) + return scaled_signs, scaled_logdets + + +@dispatch +def slogdet(A: Triangular, log_alg: Algorithm, trace_alg: Algorithm): + xnp = A.xnp + diag = xnp.diag(A.A) + mag = xnp.abs(diag) + phase = diag / mag + return xnp.prod(phase), xnp.sum(xnp.log(mag)) + + +@dispatch +def slogdet(A: Permutation, log_alg: Algorithm, trace_alg: Algorithm): + # TODO: count the parity of the permutation and return an error if it is odd + xnp = A.xnp + zero = xnp.array(0., dtype=A.dtype, device=A.device) + return 1. + zero, zero diff --git a/cola/algorithms/preconditioners.py b/cola/linalg/preconditioning/preconditioners.py similarity index 95% rename from cola/algorithms/preconditioners.py rename to cola/linalg/preconditioning/preconditioners.py index 9fa497db..f46f0fac 100644 --- a/cola/algorithms/preconditioners.py +++ b/cola/linalg/preconditioning/preconditioners.py @@ -1,6 +1,6 @@ from typing import Union from cola.ops import LinearOperator -from cola.algorithms import power_iteration +from cola.linalg.eig.power_iteration import power_iteration from plum import dispatch from cola.utils import export @@ -150,6 +150,14 @@ def get_nys_approx(A, Omega, eps): return Lambda, U +@export +@dispatch.abstract +def sqrt(A: Union[NystromPrecond, NystromPrecondLazy]) -> NystromPrecondLazy: + """ + """ + + +@export @dispatch def sqrt(A: Union[NystromPrecond, NystromPrecondLazy]) -> NystromPrecondLazy: xnp = A.xnp @@ -159,6 +167,14 @@ def sqrt(A: Union[NystromPrecond, NystromPrecondLazy]) -> NystromPrecondLazy: return B +@export +@dispatch.abstract +def inverse(A: Union[NystromPrecond, NystromPrecondLazy]) -> NystromPrecondLazy: + """ + """ + + +@export @dispatch def inverse(A: Union[NystromPrecond, NystromPrecondLazy]) -> NystromPrecondLazy: xnp = A.xnp diff --git a/cola/linalg/solve.py b/cola/linalg/solve.py deleted file mode 100644 index 4e0aa795..00000000 --- a/cola/linalg/solve.py +++ /dev/null @@ -1,32 +0,0 @@ -import cola -from cola.utils import export -from cola.ops import LinearOperator - - -@export -def solve(A: LinearOperator, rhs, **kwargs): - """Solves A x = b. This function uses cola.inverse(). - - Args: - A (LinearOperator): The linear operator to compute the inverse of. - rhs (array): The right-hand side of the linear system. - rhs could be of size (N,) or (N, B), where B is the number of - systems to solve. - tol (float, optional): The tolerance criteria. Defaults to 1e-6. - P (array, optional): Preconditioner matrix - x0 (array, optional): The initial guess for the solution - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 5000. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative', 'svrg'. - - Returns: - Array: The solution to the linear system. - - Example: - >>> A = MyLinearOperator() - >>> b = xnp.array() - >>> x = cola.solve(A, b) - - """ - return cola.inv(A, **kwargs) @ rhs diff --git a/cola/linalg/nullspace.py b/cola/linalg/tbd/nullspace.py similarity index 99% rename from cola/linalg/nullspace.py rename to cola/linalg/tbd/nullspace.py index 47d6d9eb..3cf95a53 100644 --- a/cola/linalg/nullspace.py +++ b/cola/linalg/tbd/nullspace.py @@ -1,11 +1,12 @@ from cola.ops import LinearOperator, Array from cola.backends import get_library_fns -from cola.linalg.eigs import eigmax from cola.utils import export import logging import numpy as np from plum import dispatch +eigmax = None # TODO: fix + def orthogonal_complement(C, tol=1e-5): """ Computes the orthogonal complement to a given matrix proj""" diff --git a/cola/linalg/pinv.py b/cola/linalg/tbd/pinv.py similarity index 100% rename from cola/linalg/pinv.py rename to cola/linalg/tbd/pinv.py diff --git a/cola/algorithms/randomized_svd.py b/cola/linalg/tbd/randomized_svd.py similarity index 100% rename from cola/algorithms/randomized_svd.py rename to cola/linalg/tbd/randomized_svd.py diff --git a/cola/algorithms/slq.py b/cola/linalg/tbd/slq.py similarity index 95% rename from cola/algorithms/slq.py rename to cola/linalg/tbd/slq.py index 68875b8a..83ca906b 100644 --- a/cola/algorithms/slq.py +++ b/cola/linalg/tbd/slq.py @@ -1,8 +1,7 @@ from typing import Callable from cola.ops import LinearOperator -from cola.algorithms.lanczos import lanczos -# from cola.algorithms.lanczos import construct_tridiagonal -from cola.algorithms.cg import cg +from cola.linalg.decompositions.lanczos import lanczos +from cola.linalg.inverse.cg import cg from cola.utils import export from cola.utils.custom_autodiff import iterative_autograd diff --git a/cola/linalg/svd.py b/cola/linalg/tbd/svd.py similarity index 100% rename from cola/linalg/svd.py rename to cola/linalg/tbd/svd.py diff --git a/cola/algorithms/svrg.py b/cola/linalg/tbd/svrg.py similarity index 100% rename from cola/algorithms/svrg.py rename to cola/linalg/tbd/svrg.py diff --git a/cola/linalg/trace/__init__.py b/cola/linalg/trace/__init__.py new file mode 100644 index 00000000..ac4dec98 --- /dev/null +++ b/cola/linalg/trace/__init__.py @@ -0,0 +1,6 @@ +import pkgutil +from cola.utils import import_from_all + +__all__ = [] +for loader, module_name, is_pkg in pkgutil.walk_packages(__path__): + import_from_all(module_name, globals(), __all__, __name__) diff --git a/cola/linalg/trace/diag_trace.py b/cola/linalg/trace/diag_trace.py new file mode 100644 index 00000000..1c15d3e5 --- /dev/null +++ b/cola/linalg/trace/diag_trace.py @@ -0,0 +1,136 @@ +from functools import reduce +from cola.utils import export, dispatch +from cola.ops.operators import LinearOperator, I_like, Diagonal, Identity +from cola.ops.operators import BlockDiag, ScalarMul, Sum, Dense +from cola.ops.operators import Kronecker, KronSum +from cola.linalg.algorithm_base import Algorithm, Auto +from cola.linalg.trace.diagonal_estimation import Hutch, HutchPP, Exact +import numpy as np + + +@export +@dispatch.abstract +def diag(A: LinearOperator, k: int = 0, alg: Algorithm = Auto()): + r""" Extract the (kth) diagonal of a linear operator. + + Can use either the :math:`O(\tfrac{1}{\delta^2})` time stochastic estimation (alg=Hutch()) + or a deterministic :math:`O(n)` time algorithm (alg =Exact()). + + If only unbiased estimates of the diagonal are needed, use the Hutchinson algorithm. + + Args: + A (LinearOperator): The linear operator to compute the diagonal of. + k (int, optional): Specify to compute the kth off diagonal diagonal. + alg (Algorithm, optional): The algorithm to use for the diagonal computation (Hutch or Exact). + + Returns: + Array: diag + """ + + +# ########### BASE CASES ############# +@dispatch(precedence=-1) +def diag(A: LinearOperator, k: int, alg: Auto): + tol = alg.__dict__.get("tol", 1e-6) + exact_faster = tol < 1 / np.sqrt(10 * np.prod(A.shape)) + if exact_faster: + return diag(A, k, Exact()) + else: + return diag(A, k, Hutch(**alg.__dict__)) + + +@dispatch(precedence=-1) +def diag(A: LinearOperator, k: int, alg: Hutch | HutchPP | Exact): + return alg(A, k) + + +# ############ DISPATCH RULES ############ +@dispatch +def diag(A: Dense, k: int, alg: Algorithm): + xnp = A.xnp + return xnp.diag(A.A, diagonal=k) + + +@dispatch +def diag(A: Identity, k: int, alg: Algorithm): + if k == 0: + return A.xnp.ones((A.shape[0], ), A.dtype, device=A.device) + else: + return A.xnp.zeros((A.shape[0] - abs(k), ), A.dtype, device=A.device) + + +@dispatch +def diag(A: Diagonal, k: int, alg: Algorithm): + if k == 0: + return A.diag + else: + return A.xnp.zeros((A.shape[0] - abs(k), ), A.dtype, device=A.device) + + +@dispatch +def diag(A: Sum, k: int, alg: Algorithm): + out = sum(diag(M, k, alg) for M in A.Ms) + return out + + +@dispatch +def diag(A: BlockDiag, k: int, alg: Algorithm): + assert k == 0, "Havent filled this case yet, need to pad with 0s" + diags = [[diag(M, k, alg)] * m for M, m in zip(A.Ms, A.multiplicities)] + return A.xnp.concat([item for sublist in diags for item in sublist]) + + +@dispatch +def diag(A: ScalarMul, k: int, alg: Algorithm): + return A.c * diag(I_like(A), k, alg) + + +def product(c): + return reduce(lambda a, b: a * b, c) + + +@dispatch +def diag(A: Kronecker, k: int, alg: Algorithm): + assert k == 0, "Need to verify correctness of rule for off diagonal case" + ds = [diag(M, k, alg) for M in A.Ms] + # compute outer product of the diagonals + slices = [[None] * i + [slice(None)] + [None] * (len(ds) - i - 1) for i in range(len(ds))] + return product([d[tuple(s)] for d, s in zip(ds, slices)]).reshape(-1) + + +@dispatch +def diag(A: KronSum, k: int, alg: Algorithm): + assert k == 0, "Need to verify correctness of rule for off diagonal case" + ds = [diag(M, k, alg) for M in A.Ms] + # compute outer product of the diagonals + slices = [[None] * i + [slice(None)] + [None] * (len(ds) - i - 1) for i in range(len(ds))] + return sum([d[tuple(s)] for d, s in zip(ds, slices)]).reshape(-1) + + +@export +@dispatch.abstract +def trace(A: LinearOperator, alg: Algorithm = Auto()): + r""" Compute the trace of a linear operator tr(A). + + Can use either the :math:`O(\tfrac{1}{\delta^2})` time stochastic estimation (alg=Hutch()) + or a deterministic :math:`O(n)` time algorithm (alg =Exact()). + + If only unbiased estimates of the diagonal are needed, use the Hutchinson algorithm. + + Args: + A (LinearOperator): The linear operator to compute the diagonal of. + alg (Algorithm, optional): The algorithm to use for the diagonal computation (Hutch or Exact). + + Returns: + Array: trace""" + + +@dispatch +def trace(A: LinearOperator, alg: Algorithm): + assert A.shape[0] == A.shape[1], "Can't trace non square matrix" + return diag(A, 0, alg).sum() + + +@dispatch +def trace(A: Kronecker, alg: Algorithm): + return product([trace(M, alg) for M in A.Ms]) diff --git a/cola/algorithms/diagonal_estimation.py b/cola/linalg/trace/diagonal_estimation.py similarity index 59% rename from cola/algorithms/diagonal_estimation.py rename to cola/linalg/trace/diagonal_estimation.py index 894b447a..318a549a 100644 --- a/cola/algorithms/diagonal_estimation.py +++ b/cola/linalg/trace/diagonal_estimation.py @@ -1,6 +1,85 @@ import numpy as np from cola.utils import export from cola.ops import I_like, LinearOperator +from cola.linalg.algorithm_base import Algorithm +from dataclasses import dataclass +from typing import Optional, Any + +PRNGKey = Any + + +@export +@dataclass +class Exact(Algorithm): + """ + Exact algorithm to compute, element-by-element, the diagonal of the matrix. + That is, each element of the diagoinal :math:`A_{i,i}` is computed as + :math:`e_{i}^{T} A(e_{i})`. + For efficiency, this procedure is done through blocks of elements, + :math:`A [e_{i_{1}}, \\cdots, e_{i_{B}}]` where :math:`B` is the block size. + + Args: + bs (int, optional): Block size. + pbar (bool, optional): Whether to show progress bar. + """ + bs: int = 100 + pbar: bool = False + + def __call__(self, A, k): + return exact_diag(A, k, self.bs) + + +@export +@dataclass +class Hutch(Algorithm): + """ + Hutchinson's algorithm for estimating the trace of a matrix function. + Basically, this algorithm uses random probes to approximate + :math:`\\text{tr}(f(A))`. + + Args: + tol (float, optional): Approximation relative tolerance. + max_iters (int, optional): The maximum number of iterations to run. + bs (int, optional): Number of probes. + rand (str, optional): type of random probes (either Normal or Rademacher) + pbar (bool, optional): Whether to show progress bar. + key (xnp.PRNGKey, optional): Random key (default None). + """ + tol: float = 3e-2 + max_iters: int = 10_000 + bs: int = 100 + rand: str = 'normal' + pbar: bool = False + key: Optional[PRNGKey] = None + + def __call__(self, A, k): + return hutchinson_diag_estimate(A, k, **self.__dict__)[0] + + +@export +@dataclass +class HutchPP(Algorithm): + """ + Hutch++ is an improvement on the Hutchinson's estimator introduced in + Meyer et al. 2020: Hutch++: Optimal Stochastic Trace Estimator. + + Args: + tol (float, optional): Approximation relative tolerance. + max_iters (int, optional): The maximum number of iterations to run. + bs (int, optional): Number of probes. + rand (str, optional): type of random probes (either Normal or Rademacher) + pbar (bool, optional): Whether to show progress bar. + key (xnp.PRNGKey, optional): Random key (default None). + """ + tol: float = 3e-2 + max_iters: int = 10000 + bs: int = 100 + rand: str = 'normal' + pbar: bool = False + key: Optional[PRNGKey] = None + + def __call__(self, A, k): + raise NotImplementedError def get_I_chunk_like(A: LinearOperator, i, bs, shift=0): @@ -29,12 +108,29 @@ def get_I_chunk_like(A: LinearOperator, i, bs, shift=0): return chunk, shifted_chunk +# disable backwards for now, TODO: add tests then add back in +# @iterative_autograd(exact_diag_bwd) + + +def exact_diag(A, k, bs): + bs = min(100, A.shape[0]) + # lazily create chunks of the identity matrix of size bs + diag_sum = 0. + for i in range(0, A.shape[0], bs): + chunk, shifted_chunk = get_I_chunk_like(A, i, bs, k) + diag_sum += ((A @ chunk) * shifted_chunk).sum(-1) + if k <= 0: + out = diag_sum[abs(k):] + else: + out = diag_sum[:(-k or None)] + return out + + def exact_diag_bwd(res, grads, unflatten, *args, **kwargs): v = grads[0] if isinstance(grads, (tuple, list)) else grads op_args, _ = res A = unflatten(op_args) xnp = A.xnp - # k, bs, tol, max_iters, pbar = args[1:] k = kwargs.get('k') bs = kwargs.get('bs') @@ -54,48 +150,12 @@ def d_params(C, shifted_C): for i in range(len(d_p)): d_p[i] += dp_all[i] dA = unflatten(d_p) - # print(dA) - # print(args,kwargs) return (dA, ) -# disable backwards for now, TODO: add tests then add back in -# @iterative_autograd(exact_diag_bwd) -def exact_diag_fwd(A, k, bs, tol, max_iters, pbar): - bs = min(100, A.shape[0]) - # lazily create chunks of the identity matrix of size bs - diag_sum = 0. - for i in range(0, A.shape[0], bs): - chunk, shifted_chunk = get_I_chunk_like(A, i, bs, k) - diag_sum += ((A @ chunk) * shifted_chunk).sum(-1) - if k <= 0: - out = diag_sum[abs(k):] - else: - out = diag_sum[:(-k or None)] - return out - - -@export -def exact_diag(A: LinearOperator, k=0, bs=100, tol=3e-2, max_iters=10000, pbar=False): - """Extracts the (kth) diagonal of a linear operator. - - Args: - A (LinearOperator): Linear operator. - k (int, optional): Index of the diagonal to extract (default 0). - bs (int, optional): Chunk size (default 100). - tol (float, optional): (doesn't do anything) - max_iters (int, optional): (doesn't do anything). - pbar (bool, optional): Flag for showing progress bar. - - Returns: - Array: Extracted diagonal elements. - Info: Dictionary with information about the method used. - """ - return exact_diag_fwd(A, k=k, bs=bs, tol=tol, max_iters=max_iters, pbar=pbar), {'method': 'exact'} - - @export -def approx_diag(A: LinearOperator, k=0, bs=100, tol=3e-2, max_iters=10000, pbar=False): +def hutchinson_diag_estimate(A: LinearOperator, k=0, bs=100, tol=3e-2, max_iters=10000, pbar=False, rand='normal', + key=None): """ Extract the (kth) diagonal of a linear operator using stochastic estimation Args: @@ -105,6 +165,7 @@ def approx_diag(A: LinearOperator, k=0, bs=100, tol=3e-2, max_iters=10000, pbar= tol (float, optional): Tolerance (default 3e-2). max_iters (int, optional): Maximum number of iterations (default 10000). pbar (bool, optional): Flag for showing progress bar. + key (xnp.PRNGKey, optional): Random key (default None). Returns: Array: Extracted diagonal elements. @@ -114,13 +175,17 @@ def approx_diag(A: LinearOperator, k=0, bs=100, tol=3e-2, max_iters=10000, pbar= # lazily create chunks of the identity matrix of size bs xnp = A.xnp assert tol > 1e-3, "tolerance chosen too high for stochastic diagonal estimation" + assert rand in ['normal', 'rademacher'], "rand must be 'normal' or 'rademacher'" + key = xnp.PRNGKey(42) if key is None else key @xnp.jit def body(state): - # TODO: fix randomness when using with jax + # TODO: fix randomness when using with JAX i, diag_sum, diag_sumsq, key = state key = xnp.next_key(key) z = xnp.randn(A.shape[0], bs, dtype=A.dtype, key=key, device=A.device) + if rand == 'rademacher': + z = xnp.sign(z) z2 = xnp.roll(z, -k, 0) z2 = xnp.update_array(z2, 0, slice(0, abs(k)) if k <= 0 else slice(-abs(k), None)) slc = slice(abs(k), None) if -k > 0 else slice(None, -abs(k) or None) @@ -137,8 +202,7 @@ def cond(state): return (state[0] == 0) | ((state[0] < max_iters) & (err(state) > tol)) while_loop, infos = xnp.while_loop_winfo(err, tol, max_iters, pbar=pbar) - # while_loop = xnp.while_loop zeros = xnp.zeros((A.shape[0] - abs(k), ), dtype=A.dtype, device=A.device) - n, diag_sum, *_ = while_loop(cond, body, (0, zeros, zeros, xnp.PRNGKey(42))) + n, diag_sum, *_ = while_loop(cond, body, (0, zeros, zeros, key)) mean = diag_sum / (n * bs) return mean, infos diff --git a/cola/linalg/unary.py b/cola/linalg/unary.py deleted file mode 100644 index 1943883f..00000000 --- a/cola/linalg/unary.py +++ /dev/null @@ -1,267 +0,0 @@ -from plum import dispatch -import numpy as np -from numbers import Number -from typing import Callable -from functools import reduce -import cola -from cola.ops import LinearOperator -from cola.utils import export -from cola.annotations import SelfAdjoint, PSD -from plum import parametric -from cola.algorithms.lanczos import lanczos # , construct_tridiagonal -from cola.algorithms.arnoldi import get_arnoldi_matrix -from cola.ops import Diagonal, Identity, ScalarMul -from cola.ops import BlockDiag, Kronecker, KronSum, I_like, Transpose, Adjoint - - -def product(As): - return reduce(lambda x, y: x @ y, As) - - -@parametric -class LanczosUnary(LinearOperator): - def __init__(self, A: LinearOperator, f: Callable, **kwargs): - super().__init__(A.dtype, A.shape, annotations={SelfAdjoint}) - self.A = A - self.f = f - self.kwargs = kwargs - self.info = {} - - def _matmat(self, V): - xnp = self.xnp - Q, T, info = lanczos(self.A, V, **self.kwargs) # outputs are batched - self.info.update(info) - eigvals, P = self.xnp.eigh(xnp.vmap(T.__class__.to_dense)(T)) - Q = xnp.vmap(Q.__class__.to_dense)(Q) - norms = self.xnp.norm(V, axis=0) - zero_thresh = 10 * xnp.finfo(self.dtype).eps * xnp.max(xnp.abs(eigvals), axis=1, keepdims=True) - # truncate zero padded values (generating spurious eigenvalues) - f_eigvals = xnp.where(xnp.abs(eigvals) > zero_thresh, self.f(eigvals), xnp.zeros_like(eigvals)) - out = self.A.xnp.conj(P)[:, 0, :] * norms[:, None] # (bs,k) - out = (Q @ P @ (f_eigvals * out)[..., None])[..., 0] - return out.T - - -@parametric -class ArnoldiUnary(LinearOperator): - def __init__(self, A: LinearOperator, f: Callable, **kwargs): - super().__init__(A.dtype, A.shape) - self.A = A - self.f = f - self.kwargs = kwargs - self.info = {} - - def _matmat(self, V): # (n,bs) - xnp = self.xnp - Q, H, _, info = get_arnoldi_matrix(A=self.A, rhs=V, **self.kwargs) - # Q of shape (n, m, bs) H of shape (m,m,bs) - self.info.update(info) - eigvals, P = self.xnp.eig(H) - norms = self.xnp.norm(V, axis=0) - - e0 = self.xnp.canonical(0, (P.shape[1], V.shape[-1]), dtype=P.dtype, device=self.device) - Pinv0 = self.xnp.solve(P, e0.T) # (bs, m, m) vs (bs, m) - out = Pinv0 * norms[:, None] # (bs, m) - Q = self.xnp.cast(Q, dtype=P.dtype) # (bs, n, m) - # (bs,n,m) @ (bs,m,m) @ (bs, m) -> (bs, n) - zero_thresh = 10 * xnp.finfo(self.dtype).eps * xnp.max(xnp.abs(eigvals), axis=1, keepdims=True) - f_eigvals = xnp.where(xnp.abs(eigvals) > zero_thresh, self.f(eigvals), xnp.zeros_like(eigvals)) - out = (Q @ P @ (f_eigvals * out)[..., None])[..., 0] - return out.T - - -@dispatch -@export -def apply_unary(f: Callable, A: LinearOperator, **kwargs): - """ Generic apply a unary function f to a linear operator A: f(A) - - Args: - f (Callable): The function to apply. - A (LinearOperator): The linear operator to compute f(A) with. - tol (float, optional): The tolerance criteria. Defaults to 1e-6. - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 300. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative'. - - Returns: - LinearOperator: the lazily implemented f(A)""" - kws = dict(method="auto", tol=1e-6, pbar=False, max_iters=300) - kws.update(kwargs) - method = kws.pop('method', 'auto') - xnp = A.xnp - if method == 'dense' or (method == 'auto' and (np.prod(A.shape) <= 1e6)): - Adense = A.to_dense() - eigs, V = xnp.eig(Adense) - V = cola.lazify(V) - D = cola.diag(f(eigs)) - return V @ D @ cola.inv(V) - elif method == 'iterative' or (method == 'auto' and (np.prod(A.shape) > 1e6)): - return ArnoldiUnary(A, f, **kws) - else: - raise ValueError(f"Unknown method {method} or CoLA didn't fit any selection criteria") - - -@dispatch(cond=lambda _, A, **kwargs: A.isa(SelfAdjoint)) -def apply_unary(f: Callable, A: LinearOperator, **kwargs): - kws = dict(method="auto", tol=1e-6, pbar=False, max_iters=300) - kws.update(kwargs) - method = kws.pop('method', 'auto') - xnp = A.xnp - if method == 'dense' or (method == 'auto' and (np.prod(A.shape) <= 1e6)): - Adense = A.to_dense() - eigs, V = xnp.eigh(Adense) - V = cola.lazify(V) - D = cola.diag(f(eigs)) - return V @ D @ V.H - elif method == 'iterative' or (method == 'auto' and (np.prod(A.shape) > 1e6)): - return LanczosUnary(A, f, **kws) - else: - raise ValueError(f"Unknown method {method} or CoLA didn't fit any selection criteria") - - -@dispatch -def apply_unary(f: Callable, A: Diagonal, **kwargs): - return Diagonal(f(A.diag)) - - -@dispatch -def apply_unary(f: Callable, A: BlockDiag, **kwargs): - fAs = [apply_unary(f, a, **kwargs) for a in A.Ms] - return BlockDiag(*fAs, multiplicities=A.multiplicities) - - -@dispatch -def apply_unary(f: Callable, A: Identity, **kwargs): - one = A.xnp.array(1., dtype=A.dtype, device=A.device) - return f(one) * A - - -@dispatch -def apply_unary(f: Callable, A: ScalarMul, **kwargs): - return f(A.c) * I_like(A) - - -@dispatch -def apply_unary(f: Callable, A: Transpose, **kwargs): - return Transpose(apply_unary(f, A.A, **kwargs)) - - -@dispatch -def apply_unary(f: Callable, A: Adjoint, **kwargs): - return Adjoint(apply_unary(f, A.A, **kwargs)) - - -@dispatch -@export -def exp(A: LinearOperator, **kwargs): - """ Computes the matrix exponential exp(A) of a matrix A. - - Args: - f (Callable): The function to apply. - A (LinearOperator): The linear operator to compute f(A) with. - tol (float, optional): The tolerance criteria. Defaults to 1e-6. - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 300. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative'. - - Returns: - LinearOperator: the lazily implemented exp(A) - """ - return apply_unary(A.xnp.exp, A, **kwargs) - - -@dispatch -def exp(A: KronSum, **kwargs): - return Kronecker(*[exp(a, **kwargs) for a in A.Ms]) - - -@dispatch(cond=lambda A: A.isa(PSD)) -@export -def log(A: LinearOperator, **kwargs): - """ Computes the matrix logarithm log(A) of PSD matrix A - - Args: - f (Callable): The function to apply. - A (LinearOperator): The linear operator to compute f(A) with. - tol (float, optional): The tolerance criteria. Defaults to 1e-6. - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 300. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative'. - - Returns: - LinearOperator: the lazily implemented log(A) - """ - return apply_unary(A.xnp.log, A, **kwargs) - - -@dispatch -@export -def pow(A: LinearOperator, alpha: Number, **kwargs): - """ Computes the matrix power A^alpha of a matrix A. - - Args: - f (Callable): The function to apply. - A (LinearOperator): The linear operator to compute f(A) with. - tol (float, optional): The tolerance criteria. Defaults to 1e-6. - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 300. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative'. - - Returns: - LinearOperator: the lazily implemented A^alpha - """ - # check if alpha is close to an integer - if np.isclose(alpha, (k := int(np.round(alpha)))): - if k == 0: - return I_like(A) - if k > 0 and k < 10: - return product([A] * k) - if k == -1: - return cola.inv(A) - - return apply_unary(lambda x: x**alpha, A, **kwargs) - - -@dispatch -def pow(A: Kronecker, alpha: Number, **kwargs): - return Kronecker(*[pow(a, alpha, **kwargs) for a in A.Ms]) - - -@export -def sqrt(A: LinearOperator, **kwargs): - """ Computes the matrix sqrt A^{1/2} of a matrix A using the principal branch. - - Args: - f (Callable): The function to apply. - A (LinearOperator): The linear operator to compute f(A) with. - tol (float, optional): The tolerance criteria. Defaults to 1e-6. - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 300. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative'. - - Returns: LinearOperator: the lazily implemented sqrt(A) - """ - return pow(A, 0.5, **kwargs) - - -@export -def isqrt(A: LinearOperator, **kwargs): - """ Computes the matrix inverse sqrt A^{-1/2} of a matrix A using the principal branch. - - Args: - f (Callable): The function to apply. - A (LinearOperator): The linear operator to compute f(A) with. - tol (float, optional): The tolerance criteria. Defaults to 1e-6. - pbar (bool, optional): Whether to show a progress bar. Defaults to False. - max_iters (int, optional): The maximum number of iterations. Defaults to 300. - method (str, optional): Method to use, defaults to 'auto', - options are 'auto', 'dense', 'iterative'. - - Returns: LinearOperator: the lazily implemented A^{-1/2} - """ - return pow(A, -0.5, **kwargs) diff --git a/cola/linalg/unary/__init__.py b/cola/linalg/unary/__init__.py new file mode 100644 index 00000000..ac4dec98 --- /dev/null +++ b/cola/linalg/unary/__init__.py @@ -0,0 +1,6 @@ +import pkgutil +from cola.utils import import_from_all + +__all__ = [] +for loader, module_name, is_pkg in pkgutil.walk_packages(__path__): + import_from_all(module_name, globals(), __all__, __name__) diff --git a/cola/linalg/unary/unary.py b/cola/linalg/unary/unary.py new file mode 100644 index 00000000..fdfe4e48 --- /dev/null +++ b/cola/linalg/unary/unary.py @@ -0,0 +1,323 @@ +from plum import dispatch +from dataclasses import dataclass +from numbers import Number +from typing import Callable +from functools import reduce +import numpy as np +from plum import parametric +from cola.fns import lazify +from cola.ops import LinearOperator +from cola.ops import Diagonal, Identity, ScalarMul +from cola.ops import BlockDiag, Kronecker, KronSum, I_like, Transpose, Adjoint +from cola.annotations import SelfAdjoint, PSD +from cola.linalg.algorithm_base import Algorithm, Auto +from cola.linalg.inverse.inv import inv +from cola.linalg.inverse.cg import CG +from cola.linalg.inverse.gmres import GMRES +from cola.linalg.decompositions.lanczos import lanczos +from cola.linalg.decompositions.arnoldi import arnoldi +from cola.linalg.decompositions.decompositions import Arnoldi, Lanczos, LU, Cholesky +from cola.utils import export + + +def product(As): + return reduce(lambda x, y: x @ y, As) + + +@parametric +class LanczosUnary(LinearOperator): + def __init__(self, A: LinearOperator, f: Callable, **kwargs): + super().__init__(A.dtype, A.shape, annotations={SelfAdjoint}) + self.A = A + self.f = f + self.kwargs = kwargs + self.info = {} + + def _matmat(self, V): + xnp = self.xnp + if "start_vector" in self.kwargs.keys(): + self.kwargs.pop("start_vector") + Q, T, info = lanczos(self.A, V, **self.kwargs) # outputs are batched + self.info.update(info) + eigvals, P = self.xnp.eigh(xnp.vmap(T.__class__.to_dense)(T)) + Q = xnp.vmap(Q.__class__.to_dense)(Q) + norms = self.xnp.norm(V, axis=0) + zero_thresh = 10 * xnp.finfo(self.dtype).eps * xnp.max(xnp.abs(eigvals), axis=1, keepdims=True) + # truncate zero padded values (generating spurious eigenvalues) + f_eigvals = xnp.where(xnp.abs(eigvals) > zero_thresh, self.f(eigvals), xnp.zeros_like(eigvals)) + out = self.A.xnp.conj(P)[:, 0, :] * norms[:, None] # (bs,k) + out = (Q @ P @ (f_eigvals * out)[..., None])[..., 0] + return out.T + + +@parametric +class ArnoldiUnary(LinearOperator): + def __init__(self, A: LinearOperator, f: Callable, **kwargs): + super().__init__(A.dtype, A.shape) + self.A = A + self.f = f + self.kwargs = kwargs + self.info = {} + + def _matmat(self, V): # (n,bs) + xnp = self.xnp + if "start_vector" in self.kwargs.keys(): + self.kwargs.pop("start_vector") + Q, H, info = arnoldi(A=self.A, start_vector=V, **self.kwargs) + # Q of shape (n, m, bs) H of shape (m,m,bs) + self.info.update(info) + eigvals, P = self.xnp.eig(H.to_dense()) + norms = self.xnp.norm(V, axis=0) + + e0 = self.xnp.canonical(0, (P.shape[1], V.shape[-1]), dtype=P.dtype, device=self.device) + Pinv0 = self.xnp.solve(P, e0.T) # (bs, m, m) vs (bs, m) + out = Pinv0 * norms[:, None] # (bs, m) + Q = self.xnp.cast(Q.to_dense(), dtype=P.dtype) # (bs, n, m) + # (bs,n,m) @ (bs,m,m) @ (bs, m) -> (bs, n) + zero_thresh = 10 * xnp.finfo(self.dtype).eps * xnp.max(xnp.abs(eigvals), axis=1, keepdims=True) + f_eigvals = xnp.where(xnp.abs(eigvals) > zero_thresh, self.f(eigvals), xnp.zeros_like(eigvals)) + out = (Q @ P @ (f_eigvals * out)[..., None])[..., 0] + return out.T + + +@export +@dispatch.abstract +def apply_unary(f: Callable, A: LinearOperator, alg: Algorithm = Auto()): + """ Generic apply a unary function :math:`f` to a linear operator :math:`A`. + That is, :math:`f(A)`, defined through the taylor expansion: + :math:`f(A) = \\sum_{k=0}^\\infty \\frac{f^{(k)}(0)}{k!}A^k`. + + Args: + f (Callable): The function to apply. + A (LinearOperator): The linear operator to compute f(A) with. + alg (Algorithm): The algorithm to use (Auto, Eig, Eigh, Lanczos, Arnoldi). + + Returns: + LinearOperator: a lazy instantiation of :math:`f(A)` + """ + + +# ########### BASE CASES ############# + + +@dispatch(precedence=-1) +def apply_unary(f: Callable, A: LinearOperator, alg: Auto): + """ Auto: + - if A is Hermitian and small, use Eigh + - if A is Hermitian and large, use Lanczos + - if A is not Hermitian and small, use Eig + - if A is not Hermitian and large, use Arnoldi + """ + psd, small = A.isa(PSD), np.prod(A.shape) <= 1e6 + if psd and small: + alg = Eigh() + elif not psd and small: + alg = Eig() + elif psd and not small: + alg = Lanczos(**alg.__dict__) + elif not psd and not small: + alg = Arnoldi(**alg.__dict__) + return apply_unary(f, A, alg) + + +@dispatch(precedence=-1) +def apply_unary(f: Callable, A: LinearOperator, alg: Lanczos): + assert A.isa(SelfAdjoint), "Lanczos only valid for SelfAdjoint, wrap in cola.SelfAdjoint if desired" + return LanczosUnary(A, f, **alg.__dict__) + + +@dispatch(precedence=-1) +def apply_unary(f: Callable, A: LinearOperator, alg: Arnoldi): + return ArnoldiUnary(A, f, **alg.__dict__) + + +@export +@dataclass +class Eigh(Algorithm): + """ + Uses a dense eigendecomposition for a real symmetric or complex Hermitian operator. + """ + + +@export +@dataclass +class Eig(Algorithm): + """ + Uses a dense eigendecomposition for a general square operator. + """ + + +@dispatch(precedence=-1) +def apply_unary(f: Callable, A: LinearOperator, alg: Eigh): + assert A.isa(SelfAdjoint), "Eigh only valid for SelfAdjoint, wrap in cola.SelfAdjoint if desired" + Adense = A.to_dense() + eigs, V = A.xnp.eigh(Adense) + V = lazify(V) + D = Diagonal(f(eigs)) + return V @ D @ V.H + + +@dispatch(precedence=-1) +def apply_unary(f: Callable, A: LinearOperator, alg: Eig): + Adense = A.to_dense() + eigs, V = A.xnp.eig(Adense) + V = lazify(V) + D = Diagonal(f(eigs)) + return V @ D @ inv(V) + + +# ############ ADDITIONAL DISPATCH RULES ############ +@dispatch +def apply_unary(f: Callable, A: Diagonal, alg: Algorithm): + return Diagonal(f(A.diag)) + + +@dispatch +def apply_unary(f: Callable, A: BlockDiag, alg: Algorithm): + fAs = [apply_unary(f, a, alg) for a in A.Ms] + return BlockDiag(*fAs, multiplicities=A.multiplicities) + + +@dispatch +def apply_unary(f: Callable, A: Identity, alg: Algorithm): + one = A.xnp.array(1., dtype=A.dtype, device=A.device) + return f(one) * A + + +@dispatch +def apply_unary(f: Callable, A: ScalarMul, alg: Algorithm): + return f(A.c) * I_like(A) + + +@dispatch +def apply_unary(f: Callable, A: Transpose, alg: Algorithm): + return Transpose(apply_unary(f, A.A, alg)) + + +@dispatch +def apply_unary(f: Callable, A: Adjoint, alg: Algorithm): + return Adjoint(apply_unary(f, A.A, alg)) + + +# @export +# @dispatch.abstract +# def exp(A: LinearOperator, alg: Algorithm = Auto()): +# """ Computes the matrix exponential :math:`\\exp(A)` of the operator :math:`A`. + +# Args: +# f (Callable): The function to apply. +# A (LinearOperator): The linear operator to compute f(A) with. +# alg (Algorithm): The algorithm to use (Auto, Eig, Eigh, Lanczos, Arnoldi). + +# Returns: +# LinearOperator: a lazy instantiation of :math:`\\exp(A)` +# """ + + +@dispatch +@export +def exp(A: LinearOperator, alg: Algorithm = Auto()): + """ Computes the matrix exponential :math:`\\exp(A)` of the operator :math:`A`. + + Args: + f (Callable): The function to apply. + A (LinearOperator): The linear operator to compute f(A) with. + alg (Algorithm): The algorithm to use (Auto, Eig, Eigh, Lanczos, Arnoldi). + + Returns: + LinearOperator: a lazy instantiation of :math:`\\exp(A)` + """ + return apply_unary(A.xnp.exp, A, alg) + + +@dispatch +def exp(A: KronSum, alg: Algorithm): + return Kronecker(*[exp(a, alg) for a in A.Ms]) + + +@dispatch +@export +def log(A: LinearOperator, alg: Algorithm = Auto()): + """ Computes the matrix logarithm :math:`log(A)` of positive + definite operator :math:`A`. + + Args: + A (LinearOperator): The linear operator to compute f(A) with. + alg (Algorithm): The algorithm to use (Auto, Eig, Eigh, Lanczos, Arnoldi). + + Returns: + LinearOperator: a lazy instantiation of log(A) + """ + return apply_unary(A.xnp.log, A, alg) + + +@dispatch +@export +def pow(A: LinearOperator, alpha: Number, alg: Algorithm = Auto()): + """ Computes the matrix power :math:`A^{\\alpha}` of an operator :math:`A`, + where :math:`\\alpha` is the coefficient. + + Args: + A (LinearOperator): The linear operator to compute f(A) with. + alg (Algorithm): The algorithm to use (Auto, Eig, Eigh, Lanczos, Arnoldi). + + Returns: + LinearOperator: a lazy instantiation of :math:`A^{\\alpha}` + """ + # check if alpha is close to an integer + if np.isclose(alpha, (k := int(np.round(alpha)))): + if k == 0: + return I_like(A) + if k > 0 and k < 10: + return product([A] * k) + if k == -1: + match alg: + case Lanczos(): + new_alg = CG(**alg.__dict__) + case Arnoldi(): + new_alg = GMRES(**alg.__dict__) + case Eigh(): + new_alg = Cholesky() + case Eig(): + new_alg = LU() + case _: + new_alg = alg + return inv(A, new_alg) + return apply_unary(lambda x: x**alpha, A, alg) + + +@dispatch +def pow(A: Kronecker, alpha: Number, alg: Algorithm): + return Kronecker(*[pow(a, alpha, alg) for a in A.Ms]) + + +@dispatch +@export +def sqrt(A: LinearOperator, alg: Algorithm = Auto()): + """ Computes the square root, :math:`A^{1/2}` + of an operator :math:`A` using the principal branch. + + Args: + A (LinearOperator): The linear operator to compute f(A) with. + alg (Algorithm): The algorithm to use (Auto, Eig, Eigh, Lanczos, Arnoldi). + + Returns: + LinearOperator: a lazy instantiation of :math:`A^{1/2}` + """ + return pow(A, 0.5, alg) + + +@dispatch +@export +def isqrt(A: LinearOperator, alg: Algorithm = Auto()): + """ Computes the matrix inverse :math:`A^{-1/2}` of an + operator :math:`A` using the principal branch. + + Args: + A (LinearOperator): The linear operator to compute f(A) with. + alg (Algorithm): The algorithm to use (Auto, Eig, Eigh, Lanczos, Arnoldi). + + Returns: + LinearOperator: a lazy instantiation of :math:`A^{-1/2}` + """ + return pow(A, -0.5, alg) diff --git a/docs/index.rst b/docs/index.rst index 495b46cb..76cbb7ae 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -118,9 +118,8 @@ Design Choices package/cola.linalg package/cola.ops package/cola.linear_operators - package/cola.fns - package/cola.algorithms package/cola.decompositions + package/cola.fns package/cola.annotations .. toctree:: diff --git a/docs/notebooks/01_algorithms.ipynb b/docs/notebooks/01_algorithms.ipynb index f331a9a8..5ce7ce6f 100644 --- a/docs/notebooks/01_algorithms.ipynb +++ b/docs/notebooks/01_algorithms.ipynb @@ -23,7 +23,10 @@ "import time\n", "import torch\n", "import cola\n", - "import jax.numpy as jnp" + "import jax.numpy as jnp\n", + "import warnings\n", + "\n", + "warnings.filterwarnings('ignore')" ] }, { @@ -36,14 +39,17 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 2, "id": "09771153", "metadata": {}, "outputs": [], "source": [ - "x = torch.linspace(-1,1,3000)\n", - "C = cola.lazify(torch.exp(-(x[None]-x[:,None])**2/2))\n", - "C = C+1e-4*cola.eigmax(C,tol=1e-2)*cola.ops.I_like(C)" + "from cola.linalg.eig.power_iteration import power_iteration\n", + "N = 3_000\n", + "x = torch.linspace(-1, 1, N)\n", + "C = cola.lazify(torch.exp(-(x[None] - x[:, None])**2 / 2))\n", + "_, eigmax, _ = power_iteration(C, tol=1e-2)\n", + "C = C + 1e-4 * eigmax * cola.ops.I_like(C)" ] }, { @@ -51,19 +57,19 @@ "id": "29fbec4a", "metadata": {}, "source": [ - "We can run CG, GMRES to perform solves, or lanczos and arnoldi for decompositions to compute $f(A)v$ for a vector $v$ or for estimating the extremal eigenvalues." + "We can run CG, GMRES to perform solves, or Lanczos and Arnoldi for decompositions to compute $f(A)v$ for a vector $v$ or for estimating the extremal eigenvalues." ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 3, "id": "8d85a96d", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b588cecf90294d5298954fd1aba362a3", + "model_id": "658fbbe35b444254befbfc8c4eb1b4b0", "version_major": 2, "version_minor": 0 }, @@ -77,7 +83,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5b03fd2e92ad450f9438b8ac42b42213", + "model_id": "3cce773f90b442a880968a68e32484fd", "version_major": 2, "version_minor": 0 }, @@ -88,10 +94,17 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fa63fc1ad4a04e1b9e2792ad22f3b814", + "model_id": "b0ae4215441046faaade8916d4dceca3", "version_major": 2, "version_minor": 0 }, @@ -102,10 +115,17 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ac7e706ff8324d9b92c47831165b777b", + "model_id": "227d9bc1fb434f51a1129bdd5a45a46e", "version_major": 2, "version_minor": 0 }, @@ -119,10 +139,10 @@ ], "source": [ "y = torch.randn(C.shape[-1])\n", - "sol, info = cola.algorithms.cg(C, y, tol=1e-4, pbar=True)\n", - "sol1, info1 = cola.algorithms.gmres(C, y, tol=1e-4, pbar=True)\n", - "Q1,T,info2 = cola.algorithms.lanczos(C, pbar=True, tol=1e-4, max_iters=1000)\n", - "Q2,H,info3 = cola.algorithms.arnoldi(C, pbar=True, tol=1e-4, max_iters=1000)\n" + "sol, info = cola.CG(tol=1e-4, pbar=True)(C, y)\n", + "sol1, info1 = cola.GMRES(tol=1e-4, pbar=True)(C, y)\n", + "Q1, T, info2 = cola.Lanczos(pbar=True, tol=1e-4, max_iters=1000)(C)\n", + "Q2, H, info3 = cola.Arnoldi(pbar=True, tol=1e-4, max_iters=1000)(C)" ] }, { @@ -135,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 4, "id": "ea06f394", "metadata": {}, "outputs": [ @@ -143,9 +163,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'iterations': 13, 'errors': array([1.56363926e+01, 4.05478191e+00, 1.60241783e-01, 1.88410982e-01,\n", - " 3.71066853e-02, 2.52811611e-01, 2.25780299e-03, 2.09524352e-02,\n", - " 8.54305644e-03, 1.05140622e-04, 9.50152207e-06, 9.50152207e-06]), 'iteration_time': 0.004091776334322416}\n" + "{'iterations': 9, 'errors': array([2.55869064e+01, 1.55503988e+00, 7.40348101e-02, 4.77714449e-01,\n", + " 9.47988685e-03, 1.06564164e-01, 1.37272538e-04, 1.37272538e-04]), 'iteration_time': 0.004042996300591363}\n" ] } ], @@ -163,13 +182,20 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 5, "id": "3056bb0e", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { - "image/png": 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", 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zZg332po1a0TWmctPNVzZuoyo85IkspTLotJ8/PgRa9asQfv27WFiYgItLS04OTlhyZIlSElJEcrj3bt3WLZsGdq3bw9jY2Po6+ujXbt2WL9+vcLOP1WpS/OX2dOnT+de37t3r9T/nTRVOS5EycnJwY4dO9C9e3dYWFhAU1MTTZo0wYQJEwRm1ZWVMsuLBg0aYODAgQCAO3fu4PXr12LTRkdHc/s3cOBA7mZWWeTm5uLUqVOYP38+971paGhAT08Ptra2GDVqFHbv3i1xxic/Pz/weDzY2dlxr8XGxoptF+Mn7prw/PnzmDBhApo1awY9PT3weDz8/vvvQp8p7tj477//uPfV1NRw584did9DQUEBOnbsyG0zdOhQyV9ceYwQJdi3bx8DwP0FBgbKLe83b94I5L1p0ya55V1ZM2bM4OIxNDRk2dnZcv+MrKwsNm7cOIF9F/XXsGFDdv78eYl5/fDDD1z6H374gb17945169ZNYr7Tp09nxcXFIvNr0aIFl+7o0aMy7c+RI0e4bZo3by423ePHj1m7du2k7nfz5s3Zs2fPxOYTHR3NpbWxsWH5+flszpw5IvNasGCBwLZxcXGsQ4cOEj9/xIgRLCMjg/Xs2ZN77caNGxK/gxs3bjB7e3up+9alSxf27t07ifmUpe3ZsyfLz89ns2fPlphnhw4dWGJiosT4GGOsuLiYrVmzhuno6EiNU0VFReL/QF77S0htwX8++OGHHyqdz9u3b5mpqanU3w4AZmpqyi5fviwxv/Lnw5KSErZq1SqmoqIiNl87Ozv2+vVrmeL9888/mbGxsUzxXrhwQWBbGxsbmbYr/7dnzx6RsURGRrL27dtL3b5jx45S9+/OnTusUaNGMsdUWFgo0/clSmxsLOPxeFxeP/74Y6XzksTf359ZWlpK3ZeJEydKvbbhT89Y6XGgqakp8VgNCQkRmRf/NULLli1l3h9nZ2duu4MHD4pMU1xczFauXMm0tLQk7rOamhpbtmwZKykpEft506ZNEzgGAwMDWZMmTUTml5qaKrDtb7/9xjQ0NMR+vqGhITtz5oxQGS9JXl4emzNnDlNVVZW4b9ra2uyPP/6QmFf565nAwECJx7+qqirz9fWVmGeZ8PBw1qlTJ5l+R+PGjauW/SVEVrdv3+aOLS0tLZaens4YYyw4OJh7XV1dnSUkJEjNq7L1E3meb/kVFhayr7/+WupvysjIiPn5+UnMqyLnrufPn7PmzZtL/Mwvv/ySFRQUCFwnREdHi8yvIvUxaRTZrsHvxx9/lFouaWlpsY0bN0rMR971wrlz53LpvvrqK5n25cOHD9wxpKKiIrZel5KSwkaPHi21HDAyMmLHjh2T+Jnlj4udO3eK/D7btm0rsF1+fj6bPHmyxM9v0aIFe/HihVAbiiRv375lvXr1krpvVlZW7Pbt2xLzUtTvnTHGjh8/LvO17Z9//lkt+0vqnyFDhnDHyNixY+WWb/my4PTp08zQ0FDs8amtrc127twpU96KOOYrW4fm309pf9OmTRP4zMrWZcqfl6SRpVwun+bSpUsS20BsbGxYTEwMt/3u3bslnhtbtmwp07VZRVS1Ls1fZlf0fyeNPI+LZ8+eCbT7i/pbtWqVTHEpo7zgv94GwHJzc9nRo0dlin316tVcumPHjrHc3FyBvMRdi967d4/p6enJ9P3b2tqyhw8fisxnz549Mv8fy/8ey18TpqWlsVGjRonc7rfffhP5meKOO/5+MDs7O64+JMqiRYu4tBYWFhX+HZaOsSekml2/fp17bG1tLfUu5Yoof5fXuHHj5JZ3ZfHv74gRI6CjoyPX/HNyctC7d28EBwdzr1lZWcHd3R16enqIiopCYGAgiouL8fHjRwwfPhyHDh2Saa3NrKwsDBw4EOHh4dDR0YG7uzuaNGmCzMxM3LhxAwkJCQCAPXv2oHnz5vj++++F8pg8eTI37emBAwcwZswYqZ974MABge1FuX37NoYNG4aMjAwApVOAuLi4oFmzZlBXV0dMTAwCAwORl5eHly9folu3brh79y5atGgh9fO//fZbbmr71q1bo23btlBXV0dkZKTAFDDJycno3bs3Xr16xb1mb2+Pzp07Q1NTExEREbh//z5Onz6NGTNmSP3cMseOHcOkSZO4O+W1tbXRpUsX2NraQkVFBZGRkbh79y6Kiopw7949dO3aFSEhIWLXb+f3xRdfYO/evVBRUUHnzp3h5OSEkpIS3Lt3Dy9fvgRQOuJ+6tSpOH/+vNh8iouLMWbMGJw8eZJ7TUNDA127doWtrS3U1dURHx+PBw8e4OPHjygpKRF7x5ki95eQui47O5sbJWVsbIyWLVvCxsYGenp6KCgoQHR0NO7du4e8vDwkJydj8ODBuHXrFrp16yZT/mvWrMHatWsBAO3atUPr1q2hrq6OR48e4eHDhwBK71gdOXIkHj58yE3hJMr8+fMFptJWVVXlzttaWlpITEzEo0ePuFE15Wf7mDZtmkwjwpKTk3H48GHuuai7xiMiItCzZ08kJiZyr7Vu3Rrt2rUDj8dDWFgYnj59CgB48OABunXrhtu3b4ucCi8uLg4DBgxAZmYmgP+VRw4ODtDR0UF2djZiYmLw+PFjrsyqihs3bgiMJlfE9FdHjhzBpEmTUFxcDKD0f9W9e3c4ODggKysLAQEB3IjXgwcPIjo6GtevX4eWlpbUvP38/DB37lwAQPPmzdGpUydoa2vjxYsXCAoKAmMMycnJGD58OCIiImBoaCiw/fDhw2FgYICMjAw8e/YMjx49EjvaqkxYWBieP38OANDX1xc5ZWxxcTHGjRuH48ePc681atQIrq6uMDc3R1ZWFu7fv4/Xr1+jqKgI69evR2JiInx9faXuc1RUFL755hukp6dDX18fPXr0gJWVFVJTU3H79m2BtNu2bcO3337LPdfU1ETPnj1hbW2N1NRU3Lp1C0lJSfj8889lHrmenZ2NAQMGCNw5b29vj44dO8LY2BgpKSkICgrChw8fkJubi6+//hoZGRlYtmyZ1LzDw8OxdOlSZGVlcSO5TE1N8f79e1y/fh25ubkoLi7Gl19+idatW6NLly5i87p58yaGDx/O/ZaA0rqCq6srTExMkJ2djZcvX+Lx48coLCwUOyOQIveXEEn4R2WPGDECBgYGAAAXFxc4OTnhxYsXKCwsxMGDB7FgwYIK5S1r/YRfVc+3ZUpKSjB69GicOXOGe83ExAS9evWCiYkJ4uLicOPGDRQUFCAtLQ2enp5IS0ur8D6WFxsbiz59+uDjx4/cay1btkSHDh3A4/Hw8OFDhIeH46+//pJ7HVsWimzXKDNv3jz4+Phwz/X09ODh4QFLS0vEx8fjxo0byMrKQl5eHpYsWYL4+Hj89ttvMuVd1Xrh5MmT8eeffwIoXXNy69atEq8DAeDw4cPctYWHhwcaNWoklCY+Ph69e/dGREQE91rLli3Rtm1b6OnpISEhAQEBAUhOTkZaWhrGjh2L/fv3Y9KkSVL3+dixY1i8eDGA0jYTNzc3GBoa4sOHD0Ij/SZMmIATJ05wz8sf87du3UJERASGDBmC4cOHS/1soPT6k/+Y5vF46NChA5ydnaGtrY3379/j9u3byMzMxIcPH9CvXz9cuHABHh4eUvOW1+8dADZv3ozvvvuOu97k8Xho06YNWrZsCT09PaSkpODp06fccSKuPFbk/pL6gX/2Sn9/fzx//hzOzs5y/YzQ0FAsX74cBQUFMDU1Ra9evWBsbIyYmBjcunULhYWFyM3NxZw5c6CqqoqZM2eKzUsRx3xV6tCjRo1Cq1atEBwczM2I6eLiAldXV6HPkXSNXpG6jKI9evQIy5YtQ25uLho3bgw3Nzfo6+sjMjISAQEBYIwhNjYWgwYNwtOnT3HkyBHuf9asWTO4urpCS0sLT58+5drRnz17hilTpuDixYtyiVEedelGjRrBy8sLQOmMXmUzwjo5OaFPnz4CnyfpfyeKvI6LDx8+oG/fvvj48SOMjIzg7u4OS0tLJCUl4fr160hPTwcArF27Fs7OzhL7aGpSeTF8+HAYGRkhLS0N//77Lzc7S3llszUZGxtj2LBhMs/4l5qays2q2KBBA7Rs2RKNGzeGrq4ucnJyEBUVheDgYBQVFSEmJgY9e/bEw4cP4eDgIJBPixYt4OXlhczMTC4WfX39Cq/9zRjD5MmTcfbsWfB4PHTq1AnOzs5gjCE8PFzmWRjKbNu2DQEBAXj16hWio6Px1Vdf4d9//xVKd/XqVWzevBkAuBkiKjL6vSx4Qqod/+jMMWPGyDXv6dOnc3lbWlrKNe/KiIuLE7jbxcfHR+6fwX/HtKqqKvv999+FRlFHRkayjh07cukMDAzE3kHEf9dx2Z1t06ZNY8nJyQLpsrOz2YQJE7i0enp6LCsrSyi/mJgYboSZhoaGUD7lJScnM3V1dQaA8Xg89ubNG6E0Hz9+ZA0aNOA+e+rUqezDhw9C6eLj4wXuPGrdujUrKioSSsd/p1bZneRNmjQReSdYXl4e95j/Tm4tLS3277//CqV/+PAhc3BwEPg+AfF3JIaHhzNtbW1u/xctWiQ0oosxxl6/fs26d+/O5Tdo0CCR+fHfjVX2+S4uLiwiIkIgXUlJCfv9998Fjtdbt26JzJMxxr7//nuBtPPmzWNJSUki096/f59NnTqVhYeHK3x/Cakt5DVyOyYmhn399dfs/v37YmfQSE9PZ97e3tznOTo6ik3Lfz7U0NBgPB6P2dvbs/v37wulPXr0KHe+BsD27t0rNs4///xT4JwxduxY9vbtW5Fpnz59yubPn88uXbokwzcgqKCgQOBuXycnJ5aWliaQJj8/n7Vt25ZL06BBA3blyhWhvC5dusTMzMy4dB06dGAFBQVC6b755hsujbu7O3v//r3I2AoLC9nNmzfZpEmTRJZFspo5c6ZA7PIWFRUlcCexq6sre/XqlUCa4uJitnnzZoER/V9//bXYPPn/95qamszc3FxoZD5jjN26dYsZGBhwadesWSMyP/7rPW9vb6n7tHDhQql3GK9cuVLgGvL48eMiR2YfPXpUYGTHkSNHRObHf1e7mpoaA8C8vLxYZmamQLqCggLu9/j8+XOBEdv9+vUTur4pKChgS5cuFbqukDT6cerUqQK/f1HXIEVFRWzHjh1cnqqqquzOnTsi8+M/f2lqajJVVVW2efNmoRkJ3r59y1q1asWl9fDwEBvj27dvBX5vdnZ2Io8RxkpH9P31119s0aJF1bK/hMgiJydH4Px19uxZgfd/+ukn7r327dtLza+y9RN5n28ZY+znn38WyHfJkiUsPz9fIM3Hjx9Z//79Bc579+7dE5mfrCO3+/Tpw6UzNDRk/v7+QmnOnz/PjWbjvyapjpHbimzXYExwphIAzNPTU2j0S3p6utDo4uPHj4vMTxH1wqZNm3JpRP1/yuOf8UzUzDrFxcXMw8ND4BpE1Iil3Nxctnr1aq6dQVdXV2S7AWOCI7fV1NSYhoYG8/X1FSrj+X9Hu3btEth/b29vgfcZY+zTp09s0KBBQuWxuOv6rKwsgdFtgwYNYlFRUULp0tPTBdp4GjZsKHQtW0YRv/dz584JzBDUu3dv9vz5c5Fp37x5w1auXClytgZF7C+pf65fvy5wnJuamrJNmzZVeTY//rKg7Np70aJFQr/zuLg45u7uzqXV0dEReRwzpphjXl516IrMLlGmMnUZxhQ/cltTU5Opq6szHx8foTaNmzdvMl1dXS7t+vXrmZ6eHjMwMGD//fefUL5HjhwRmJFGUhuorBRRl5ZltGxlVPW4KCv7vv/+e6HR58nJyax3795c2qZNm4qd9UyZ5YWokduMMfbFF19wr4m69g4ICODenzNnDmOMVWjk9rJly9jTp0/FxvXp0yc2ZcoULq8+ffrItA82NjYy7Tf/NWHZ77t169bsyZMnQmn5z4uyHoshISEC1+Xl+0uSkpKYlZUV9/78+fNlirs86twmSlH2owHAVq9eLde8+SvAkhrQqgv/yQ4Au3nzplzzj4qKEigMt2/fLjZtSkoKs7W15dJOnz5dZDr+wg0AmzBhgtg8c3NzBaalOXz4sMh0PXr04NL89ddfEveJ/+Kte/fuItPwT3Eh7QRYVFQkUKCKirF8Yaajo8NevnwpMd/nz58LbHPo0CGxaWNiYgQqk5Iu2vhj3bJli8QYsrKyBKZZFdWAVH4qm2bNmgldjPL7/PPPubRffvmlyDQvX74UOO42bNggMU5J5L2/hNQW8urcrogvv/yS+0xxS1SUPx+ampqK7axlTHAaoYEDB4pMk5KSwvT19aWeW+SBf3pNExMToYokY4z9888/XBp1dXWx0zwxVjqVLP91i6gOfP6bx0R9nrzxX+v06tVL7vnzdww6ODhIrDBu2bKFS6uioiK2YZn/mNLU1GSPHz8Wm+f27du5tE5OTiLT8Dd0WVlZib1Zg7HSxgP+itPVq1eF0kRHR3MNGyYmJmIbrUR9fosWLURW1Pkr/gDYrFmzJObJGBNYYqZt27Zc5VqU+fPnC+QvroOIf5pke3t7qcuO8FdYxf2my09lJ2maxqdPn3KN5DweT+TNiIwxNmnSJIFKeXx8vMQ4xVHE/hIiiwMHDnDHkrm5udDNHvw3/AIQ2XjErzL1E8bkf75NT08XaKQVd1MJY6WNXy4uLlLr47J0bl++fJlLw+Px2PXr18V+7u3btwW+W6B6OrcV2a5RXFzM7OzsuPzHjBkjtlG4pKSEjRgxQuDcJ6pcVES9cNWqVVya8ePHS9yniIgILq22tjbLyMgQSsM/1XuXLl1YTk6OxDz52y7ExVh+WRtRN6TzKyoqEpiOu6zRWpT8/HyBY17Sdf3atWu5NKNGjZJ47cKY4HWEuCnn5f17LywsFGgzGjp0aKWX0lHE/pL6adiwYQLHelm50Lx5czZlyhS2detWdv/+/Qodq+WvZSXVTzMzM5mTkxOXdsqUKSLTyfuYl2cduqqdmLLWZRhTfOc2ALZr1y6x+f34449Cx8q1a9fEpp81axaXdu7cuTLFLIki6tI1tXMbAFu6dKnYtPHx8QI3G4hrw1VmeSGuczsoKEjisc/f7lR2g7SsndsVUXYTHQCxN5pVtXMbKL25X5blSStyLG7YsIFLa2hoKPB98F+3tm7dWmK7hyTUuU2qXXp6usCP5/fff5dr/vxrZ44aNUpq+sjISObl5SXxryodaKdPnxbY30ePHlU6L1H4R8+2a9dO4tqPjAne/a2pqSmykOUv3DQ0NNjHjx8l5rl48WIu/cKFC0Wm8fX15dKI67Au4+bmxqUV1RGekJDA3VlpaWkp0wnw7t27XJ7Dhg0Ter98YbZ48WKpefJ36HTr1k1q+jVr1gh8hqiLtkePHnHvt2/fXur/kzHGDh06xG0j6k6/8gWWuDv5y5w/f55L26FDB5Fp+DvIunTpIlOcoihifwmpLZTRuX3//n2p5+vy58PNmzdLzJP/Rh9TU1ORaTZu3ChwsV3+jnh5+e2337jPUVdXF1s57ty5M5dOljtE+e8O7tKli9D7zZo1496vjpEm/Nc6I0eOlGveqampAqOPTpw4ITF9cXExa9myJZd+yZIlItPxH1PSzt0ZGRlchwGPxxO5RlNJSQlr3Lgxl6eoDusyV65c4dI1atRIZGWZf/S9rNemAwYM4LZ58OCB0Pv8lW4tLS2WkpIiMb+UlBSBUduXL1+WmD4jI0PgxjlxHUQjR47k0pw6dUqmfStrwOPxeCJnZeE/f7Vu3Vpqfq6urlz6M2fOCL3/7t07gU4icSO2ZaGI/SVEFvyjlsWVLfy/HWmzTlSmfsKY/M+3/DceW1hYSO1s5L/WAMBevHghlEaWzu2xY8dyaWQZFT1x4kSBz1V057ai2zUuXLhQoTr5u3fvBEbIXLx4USiNIuqFkZGRXBodHR2RHdZlli9fzqUV1xHerl07Lo0sbSe5ubnMyMiIAaUNp6LKeP7ObVdXV6l5nj17lkuvq6srclYxfrdu3RL4XkVd1xcUFHAzz2lqarJPnz5JjeP9+/fcTRviylp5/94PHz4ssO+yNHSLoqj9JfVTZmam2LVg+f90dXXZuHHjJN4MVYa/LNDX15dahztz5ozAdX359Io45uVZh65qJ6YsdZky/P8TWVS0c7tt27YS83v9+rVADNLqy9euXePSduzYUaaYxVFUXbqmdm6bm5tLbZPnv57btm2b0PvKLi/EdW4zxrhZWA0NDQVe57/2aNasmcDrslyLVgR/P46o76/8PlS2c3vHjh0ybVeRY7H8bDxubm6sqKhIoG6hpaUlcQS7NKIXZiJEgfjX0ANK14xSVP66urpS079//x4+Pj4S//jXeqpKPID895d/nS9PT0+p6yCMGjUKJiYmAID8/HzcvXtXYvru3bvD0tJSYpr27dtzj8vWeClvzJgx0NTUBAAEBQUhNjZWZLqYmBjcuXMHQOn6zWPHjhVKc/XqVW7t5s8++0ym9T07d+7MHQ+BgYFS048fP15qGv713cWtC85PljT8a5lNmDBBpnUtevfuzT2Wtm9aWloYNmyYxDSy/D/516GZN29ehdffKKPo/SWkviksLERgYCB8fHywcuVKfPPNN5g3bx73x79m46NHj2TKc8yYMRLfd3Jygra2NoDSta7Ll3uA4Dlj9uzZXHkgTxcvXsSiRYu45zt27ECvXr2E0mVmZiI0NJR7PmPGDKl5z5o1i3scEhKC7OxsgfebNGnCPf7rr78qEnal8H/H8r6uuHPnDvLz8wEAZmZmUssMFRUVge/wxo0bUj9D2jGlr6/Pra/H/n/NtPJ4PJ7AWuMHDhwQmx//exMmTBC5Ni1/eSTrGuYVKY/69+8PY2NjiWnu3LnDXd9YWloKraVWnr6+PkaMGCExTVFREa5cuQIAMDAwwNChQyWmL1O2dhljTGDdalGk/T8B6dcWV69eRVFREYDStfAGDhwoU5zlVcf+EiLK+/fvcfXqVe75lClTRKbjXwPvwIED3FqMspClflKePM63/PXNCRMmcGW+OK6urmjdujX3XJZyQRT+7WRZO3DatGmV+pzKqs56/uDBg6XWyRs1aiRw7pT2vcurXli2fikA5OTk4OTJk2LzO3jwIPdYVN3448eP3PWps7Mz2rZtKzE+oHQ/unbtCgBIT09HeHi4xPQVrecPGTIERkZGEtP36NED1tbWEtOEhoYiISEBANCnTx80aNBAahxWVlZwcnICAISHh3Nrl4ojj987/zX7hAkTYGZmJjVOUapjf0n9oaenhxMnTuDcuXPo16+fyGt5AMjOzsaRI0fQu3dvjBgxAqmpqTLlP3z4cIlr0AOl5+GytWDz8vKE2lIVccxXRx1aVrLUZarL559/LvH9pk2bCvQHSEvfqlUr7nF0dHSVYquOunRNMmzYMKlt8tKuJWpyeVF2PZ+eno7Tp09zr58+fRppaWkCaSorJycH169fx9atW7FixQosWLBAoA3v0KFDXFpZ2/AqQ9J66JWloqKCffv2cf1QQUFBmD17NhYuXMil2bRpk8BvsKLUqhwlIRWkr68v8DwrK0th+ZdvfFYGRe4vY0zgxNatWzep26irq8PV1ZW7SHr48KHEBkT+hglxTE1NuccZGRki0xgZGWHIkCE4ceIEGGM4cOAAli1bJpTuwIEDYIwBKK1Iirp44r+IfPLkCebNmyc1Rn6pqanIzs4We/ODurq61P1mjOHJkyfc886dO0v93KZNm8LMzAxJSUli0/Dv240bN8TeBFA+ljJxcXES0zZv3hzq6uoS00j7f3769EnggqSsQbgyFL2/hNQXubm5WL9+Pf766y+J5xh+sqQzNDQU6LgVhcfjwdjYGLm5uQBKzxvly7779+9zj6tyzhDn+fPnGDduHNdJ8O233wp0SPN78uQJl05PTw9t2rSRmn+7du2gq6uL7OxsFBcX4/HjxwJl7tixY7lG6CVLluDKlSuYNGkS+vXrh8aNG1d194Twf7/yvo4KCwvjHru6ukJNTXp1wc3NTWB7xpjEm5XkdW0xefJkbNq0CQBw/Phx7NixQ6hynZubixMnTnDPRVU+k5OTERkZCaD0xro1a9ZIjQ8oPe7KSCuPOnbsKDU//ms6FxcXsQ13/Dp37oz9+/eLff/Jkyfc9bC6ujoWLFggNU+g9CaOMtL2TR7/z3v37nGPRd2UIqvq2F9CRPn3339RUlICoPSmr06dOolM9/nnn8PLywt5eXmIj4/HpUuXMHjwYKn5y1I/EUUev0/+ckGW+iZQWi48ffoUQGl9s6Lev3+PxMRE7nmXLl2kbtOlSxfweDyBuoIiKbpdo7Lfu7+/PwDp37s86oVlJk+ejODgYAClvwVRNyMEBQVxnQbm5uYYMGCAUBr+umFubq7M9fzXr19zj+Pi4iRe21W0PJalng+UXjO9fftW7Pv8+/bu3TuZ962s8Zwxhnfv3knsgJN3eSyver6i9pfUP4MHD8bgwYORmJiImzdv4s6dO3jw4AHCwsKEzsFnzpyBu7s77t69K3S+Lq/sBhlJVFVV4eLiwt0QGxYWJtCWqohjXtF16IqQ5dxZXWTpCDMyMuLqBC1btpSYtqzjDZBc1smiOurSNYk8yp2aXF5MmTIFq1evBmMM+/bt4zqA9+3bB6C0LayyndspKSlYtWoV9u3bJ3KAiCiytvVVlJ2dncDvQJ4aN26Mv//+G6NHjwYA7Nmzh3tv0KBB+Prrr6uUP3Vuk2pnYGAANTU1bnRG2clIXvh/jLLk3atXL5EVYFtbW5k62ioSj6wxySo9PR2FhYXccxsbG5m2s7W15R5LOzHKUjjwV4r54ylv8uTJXAOzpM5t/vSifPjwgXscGBhYqdG7qampYju3jY2NpV6ApKenc6OrAEjt/CnTuHFjid85/75duHBBpjz5SbsztaL/z7LfKb9Pnz5xjzU1NWFlZVWBCAUpen8JqQ9SU1PRu3fvCt/FKcsFtKwVBEnlQEZGBtfxDZTe6CNPycnJGDZsGFdRGjx4MH799Vex6fkby5s0aSJTxVFFRQVNmjTBixcvAAiXnbNmzcLFixdx6tQpAMC1a9dw7do1AIC1tTXc3d3h4eGBESNGVHoEDL+KXutUBP/3U5nrioKCAmRmZsLAwEBsenldW7Ru3Rpt2rTBkydPkJGRAX9/f6FRS/7+/tyxUZa+vI8fPwrEzz/DgayklUdlIz0kKX9sykLazRP85WxycrJC9k0e/0/+a4uqnCOqY38JEWXv3r3cY0mNXAYGBhgxYgSOHDnCbSdL57Ys9RNR5PH7rGq5UJmGOP7P1NHRkansNDAwgKGhodzLRUmfp8h2DUV/7/KoF5YZP348Fi5ciKKiIly/fh3x8fFCI8356/njx48XeTzzn8Ojo6PrbHn85MkTgRvlZVVby2NF7S+pv8zNzTFmzBjuur+oqAj37t3Dnj17sG/fPu589ezZMyxfvhzbtm2TmJ+0mRdEpeM/TwDyP+YVXYeuKFnOndVFlnMdfxkjLT1/WkllnSyqoy5dk8ij3KnJ5YWdnR26d++OgIAAXL58mSsjL1++DABwd3cX+P/JKjY2Fj169JB4U5wosnaCV5Sif9+fffYZZs2ahV27dnGvNWjQQKCju7JoWnKiFPwneP5RL/LOuyrTictL+ZOcPPe3/J2JskzDXj6dtBOjPO8WGzJkCNcg//z5c4E72oDSu8vL/mfGxsYYMmSIyHzkMd2IpAsWaVPtAcLfvY6OjkyfK226uqrum7SpDeXx/5TndLiK3l9C6gMvLy+uY1tDQwOzZs3C6dOnERkZiczMTBQVFYExBsaYwDRbZSPMJJH3OQOQ77SdhYWFGD16NN68eQOg9K7sw4cPSxzxyn/+lrXcLJ+2/D6pqqrixIkT2LVrF5ydnQXee/v2LQ4cOIBZs2bBysoKs2bNQkpKisyfKwr/tYW8r6Mq8/2UT1ed1xb8nUj//vuv0Pv8r4nrcFL0dQVQ8WuLmnJdAUjft5p0bVEd+0tIeSEhIVwdhsfjYdKkSRLT85+Lzpw5I1OnqCznEFHk8fusarlQmYa4ypwPy39udVBku4aiv3d5lsX8I7GLi4sFptAESq/Xjh49yj2n8rhyqDwmRDQ1NTV0794du3fvxq1btwSO3b///lugk1gUWX/nks6x8j7mFb30RUVV9jpEESp6rqvOUdDVUZeuSeTx3db08qJs2ZuioiIcPHgQBw8e5D6vskviTJw4kevY1tfXx7fffouLFy/izZs3yMrKQnFxMdeGxz9VvSxteJVRHb9vCwsLgeddu3YVeq0yqHObKEX37t25x/zTrMiDu7s79zg+Pr7Cd8HIW+PGjQUqvfLc3/IXN7JOw86fTtr0PPKkoaEhMKKq/PqY/M/51+guj7/g37JlC3fCr8hfZe6s4lf+u8/JyZFpO2n/I/59K5vCvaJ/iibP6XBrw/4SUpO9f/8ehw8fBlA6uvjixYv4+++/MXz4cDRr1gx6enpQVVXl0iujoqTIaTvnzp2LW7duAShd08rf319qucZ//q7I8iXSyk4ej4eZM2fi2bNnePnyJXx9fTFt2jSBu+wLCwuxe/duuLq6Ct3tXxH811EJCQli18GsjMp8P+XTVee1xcSJE7mbGS5cuCBw40BycjK3DIuKiorYtbT5yyIDA4NKlUV+fn5V3hf+714R1xVt2rSp1L6tXr26UvtTEfK6tqgt+0vqFv5R22X1DB6PJ/aPfy34vLw8bhR3TVXVcqEyZUJlzoflP7c6KLJdQxnfe1Xwz7pWvp5/8eJFJCcnAyidDt3FxUVkHvzn8OHDh1fqHO7p6VnlfVF0eTx//vxK7VtVlu2QlSLK45q8v6Tu6datm8AskXl5eQLLz4hSmd95+XOsvI95RS99UZMoqsNOGWpbXbomqOnlxZgxY7jO33379nHX/dra2kKzxsnizp07uHPnDoDS4+XevXvYsmULBgwYADs7O+jq6goM1qhNNzuIExAQgI0bNwq8dvr0aaHrxcqgzm2iFL179+Yex8bGcj9qeSh/Qitr9Fcm/v09ffp0hSrokhgaGgpM7yFrRz5/I7g8pketCP5K76FDh7iLmJKSEoE7vCVN58d/Z098fLwCopSu/Hf/7t07mbaTlq4m7Js0/DHm5+cLTOdalbxq6v4SUpNdv36du8lj0KBBUtfiksdyGxVlYGAgcCco/+jxqtiyZQt2794NoPTmqZMnT8LOzk7qdvxTLr17906mm2RKSkoE1uGVVnY6Ojpi9uzZ8PPzw+vXr/Hy5UssXLiQu9Hg9evXMq/rLIqHh4fAXdIHDx6sdF7l8X8/lbmu0NDQqNYKuZWVFXfclx8ZdvToUW7qMw8PDzRq1EhkHvxlUUZGhtyu0yqK/7iqT9cVgGCcVTlH1Jb9JXVHQUGB0CjViuLvHK+JqlouVKa+yf+ZOTk5XMeoJJmZmXIZ/VMRimzXUMb3XhUjRozgyv8HDx5wS7kAgrOoiFt6DKg553Aqj0tReUxqK/61sAFIbbOS9RwrqT4o72NeUXXo6lDRab6ru+xWpNpWl64Janp5UbakEAA8evQIjx8/BgCMHDmyUv+rsuXrgNKR3+Vn/itPGW148pSeno4pU6ZwM686OTlx73l5eVV5/6hzmyjFmDFjBC4EtmzZIre8bW1tuSmxAOCvv/5CXl6e3PKvjLlz53KP09LS8M8//8glXx6Ph3bt2nHPZalMFxUVCdy12KFDB7nEIis3Nzeu8+HDhw/c9BrXr1/nLjjt7Ozg5uYmNo/OnTtzj4OCghQYrXg8Hk9g3U5Z7tSPiYmROlKvJuybNBYWFgIj369fv17pvGrD/hJSk/GvT9S6dWup6W/fvq3IcMTi/61X5ZxR5vz58/juu++4576+vgKjpyRp06YN18mcmZmJp0+fSt3m8ePH3B3VqqqqaNu2bYXidXR0xObNmwU6tM+cOVOhPPjZ2Nhg0KBB3POdO3fKrUO2ffv23OPg4GCZln/gv/5o3759tU79BogfLcb/WFJjesOGDQXW1JRn50RF8F/ThYSEyHTjRXBwsNQ8y2bCSUhIQFRUVJViVJQuXbpwj/mnXquo2rK/pO44e/YsN2OEmpoaOnfuLNMf/8jVu3fvIjIyUlm7IBV/uSDr+ZE/XWXqm40aNRJoIL53757Ube7du1ftszopsl1DGd97VWhra+Ozzz7jnpeVwZmZmfD39wcgfdp+/uvFR48eVftI/DL85bGsI/Kllcf8+3bnzp0aOwMZf3ksr3p+Td5fUjdpaWkJPBc3K2QZWcqY4uJiiW2pijjm5VmHrs76Gf960dJuTisoKKjR10AVVdvq0tVdbxelNpQXU6dOlek1WSiiDa8m/B/FmTt3LteB7ezsjNDQUG5wQnp6OiZPnlylJUepc5sohba2NubPn889P378OI4fP17hfLKzs0VW9JYuXco9jo6OxpIlSyoXqJy4uLgI3NW9bNmySk0h+ubNG7x+/VrgNf589+7dK7UQOHXqFHdxoaWlha5du1Y4jqrg8XgC04KW3cXNfzf3xIkTJZ6YBwwYwN0JeOfOHe6uqerGP0uALFNpiFoLtDz+aQpPnDiBT58+VSo2RePvVPHx8an0xUdt2V9Cair+6YqkdW7m5ORg3759ig5JJP5zxt9//438/PxK5/Xs2TNMmDCBm/lj8eLFFVrrSF9fH506deKeyzKddNkIcQBwdXWt9Jqew4cP5x5X9XzHf23z9u1bfP/995XK58qVKwLPu3XrxjUAJSYm4ty5cxK3LykpwZ49e7jn/Ncl1WX06NHcyIagoCDExMQgOjqau0bU1tbG6NGjJebBXx7t2LFDccFK0K1bN2hoaAAoHWEirRErKysLp06dkphGW1tb4H+irH2Tpl+/fty13atXr3Dp0qVK5VNb9pfUHfyjrgcNGoR79+7J9BccHIxWrVpx2yqrfJYF/2/q8OHDUm8cDw0NxZMnT7jn0maVEYd/u/3790tNr4zvUJHtGvzf+/nz55GQkCAxjw8fPuDChQsit68uom42O378OLfebbdu3STOstO0aVO0aNECQGmHB//1V3Xir+efO3dO6qjCwMBAqSOP3NzcYGRkBKB0lHdZh39Nw3/NfvjwYSQlJVUqn9qyv6RuKt9GaG1tLTH9mTNnkJGRITHNxYsXufOwqLZURRzz8qxD83f4l81spSj8g2EePXokMe2ZM2eUPiBNnmpbXbo6jwtxakN50b9/f1haWnLPGzZsiH79+lUqr4q04X348AGnT5+WmmdN+D+Ksn//fm6GKw0NDRw8eBC6urrYt28fjI2NAZReQ/3000+V/gzq3CZKs3jxYoE73aZMmVKhE1h4eDi6dOmCy5cvC73Xs2dPfPnll9zzrVu3YuXKlVULuIp8fX25u9cyMzPRu3dvvHr1SubtT506hU6dOglMgwMAs2fP5k6MDx8+hK+vr9g80tLSsHjxYu75hAkTYGhoWJHdkAv+KcdPnDiB1NRUnDhxQuT7ojRq1IirODPGMHXqVKkXomVKSkqqtM4pvxkzZnCPAwMDcezYMbFp4+Li8Ouvv0rN09XVlatM5+bmYsqUKSgoKJApnoKCAqSmpsqUtqq++eYb7ri7e/cufv7550rlU1v2l5Cain895/Pnz0u849Hb21tpN5DMnj2bW38qNjYW33zzTaXySUpKwrBhw7hz/ogRI7Bhw4YK5zNnzhzusY+Pj0AjfHkPHjzAzp07uef81xf8ccmCvwxv0KCBTNuI4+7ujq+++op7vn379gpd6yQnJ2PMmDFCFQkjIyOMGzeOe/7dd99JXOdp+/bt3Oh3FRUVfPHFFzLHIC/6+vrcVGGMMRw8eBAHDx7kbrzinypVHG9vb25E/8mTJyu0hra8pk8zMTHh9gMovVaW1Ii1atUqmabx47/x4Y8//sDVq1dljqm6poazsrISOO7mzJlT6fNVbdhfUjckJiYKdCZKmiFCFP70+/fvr5EjVYDSG4/LyvCPHz9KXFajoKAAX3/9Nffcw8MDzZs3r9Tnzpo1i3t89OhRiSNXgoKC5LpER0Uoql2jf//+XEdwfn6+xGsnxhi+/vprrkHT3t4effv2rcBeyEfv3r25JUDKbjLjvwlcWj0fEDyHr1ixQqYZdsrI6xw+cOBAWFlZASi9kYx//d7yCgoKsGjRIql5ampqCvwPv/rqK7x//17mmKrrGv6zzz6DjY0NgNJ9nz59ukzTCpdXW/aX1Hxbtmyp0LVcTk4O1q9fzz23sLAQmI1BlIyMDIm/8+zsbIG21M8//1yoLVURx7y86tAAYGpqyj2uSFyVwT8SV1KdKiMjQ+mD0eStttWlq/O4EKc2lBeqqqoICAhASEgIQkJCcPv2ba7toKL42/AkzeZXXFyML774QqY2ciMjI66NPjExsUZ0cEdHR8PLy4t7vn79em4GxMaNGwv0X61bt06mGTREYoQo0evXr1mDBg0YAAaAqaiosClTprDnz5+LTF9SUsKCg4PZ1KlTmYqKCgPAfvjhB5Fp8/PzmZubG5c3ANa5c2d29uxZlp+fLzam58+fszlz5jBVVVVuuz179shhbxk7efIkU1NT4/LV09NjP/zwA4uPjxeZPi8vj507d465u7tz29y4cUMo3dy5c7n31dTU2Pbt21lxcbFAmlevXjEXFxcunYGBAYuOjhb5uT/88AOXTtz3y+/GjRtc+p49e0pNzxhjnTp14rYZPXo097hTp04ybf/+/XvWsGFDbrvmzZuzS5cuiU0fFxfHtmzZwhwcHNgff/wh9H50dDSXl42NjUwxMMbYxIkTue20tbXZwYMHhdI8evSIOTo6MgBMU1NT4v+SMcaePn3K9PT0BI7be/fuiY3h5cuXbO3ataxhw4bM399f6P3K/H/4fzfifPfddwLp5s2bx5KTk0WmvX//Pps2bRoLDw8Xek/e+0tIbdGzZ88KnWtFSUlJYTo6Olw+kyZNYqmpqQJp0tPT2ezZsxkApqurK/VcV5nzoY2NDbeNuLLFx8dH4JwxduxYFhcXJzJteHg4mz9/vsB5PT8/X6A8bNOmDcvMzJQpvvLy8/NZ27ZtubwsLS3Z9evXhdJduXKFmZubc+k6dOjACgoKhNJpa2uzL774gt28eVOo/C0TEhLCmjZtyuU1e/bsSsXOLy8vj3Xr1k3ge3Vzc2PXrl1jRUVFIrd5/fo1W7VqFdPX1xdbLkRFRQmcl7t27cpev34tkKa4uJj9/vvvAtdLX3/9tdhYZSlX+PH/PsSVl/zOnj3LpW/RogVr0aIF9/zs2bMyfSb/9Q+Px2Pe3t4sMTFRZNrCwkJ26dIlNnnyZGZpaSkyzbRp0yp8LRkeHs40NDS47QYMGCB0nVhQUMBWrFghdF0hqYznj0VDQ4OtX79e7O8nNzeXnTx5kg0fPpy5uLiITFPR/48s15Zv375lJiYmXDo7Ozt28eJFkWlTU1PZzp072XfffVct+0uIKL///jt3nOnr67OcnJwKbR8bG8t4PB6Xx7Vr1wTer2z9RBHn259//lkg3xUrVgjVqePj49nAgQMF6qXirullrZ94eHhw6YyNjdm5c+eE0ly6dIk7d6irq0u9Hqno+UsWimrXOHLkiMD3PmvWLKFzWUZGhsA5DwA7fvy4yM9VVL2Q36JFi7j0I0eO5PZPQ0ODpaSkSN2+qKiI9e7dm8vDwMCA/fXXX2LbcNLT09m///7LevbsyT7//HORaWS5Ti3P19dXYN8XL14sFENCQgIbOnSoUHksrpzLzMxkLVu2FLj+PHr0qNhrx8TERLZz507Wvn175u3tLTKNIn7v/v7+Auem3r17s4iICJFpo6Oj2cqVK9nevXurZX9J/TNu3DgGlLYV+vj4iG0/ZYyxe/fuCbQ1AmBbtmwRmZb/t1B27f39998L/c7fvXsnkFZbW5u9evVKZJ6KOOarWocuc/fuXS6Phg0bsrS0NJF58KtMXYYxxgICAgRiFtUGGxERwTp27Ch0/hR3Xqpo2V3R835Fz6WSKKIuvWfPHi7dtGnTqhxjmeo4LmSJXZnlBf/1NgCWm5tb6bxyc3MF8hJ17EVERAiUsd7e3kJ1iI8fP7IRI0YwQLANT9K1W/Pmzbl0R48elRprZa4JGZPt/1lUVMS6du3Kpevbty8rKSkRSjd9+nQujb29PcvIyJA5jjKlc78RoiRNmzbF/fv3MWzYMISHh6OkpAT79+/H/v37YWtrizZt2sDMzAzFxcWIj4/Ho0ePhO7IETcSR0NDA1euXMGMGTNw+PBhAKXrJQ0dOhQ6OjpwcXFBw4YNYWRkhLy8PCQmJuLZs2dC04Xb29sLrJlRFSNHjsSFCxcwZswYpKWlISsrC2vWrMHatWvRtm1b2Nvbw9TUFJmZmfj48SNCQkIE1plSUVERORXqr7/+itDQUISEhKCoqAjz5s3Dxo0b0b17d+jp6eH169e4ffs2N6JPTU0Nu3fvFpgqprpNnjwZoaGhACAwdZssd3MDpSN8Tp8+jcGDByMpKQkvX77EgAED0KhRI7i6usLc3ByFhYVISkpCeHg4oqOjFbIfW7duxb179/DmzRvk5uZi4sSJWLVqFbp06QINDQ28ePECd+/eBWMMn3/+ORITE3Hr1i0AglOR8GvVqhUOHTqEcePGIScnB/fv30eXLl1gb2+PDh06wMTEBHl5eUhISMCTJ0+Udnfd+vXr8eLFC25kwvbt2+Hr64uuXbvCzs4OampqiI+Px4MHD7j11EXdaVpb9pcQRfrrr7+kTi/Mb+3atRg+fDiMjY2xaNEirF27FkDpFJAXLlxA586d0ahRI3z8+BE3b95EdnY21NTUsGPHjgpN4S1PX331FcLDw/Hnn38CKB2Fdfz4cbi4uMDR0RFaWlpITExEWFgYVxbzT0l69+5dBAQEcM9tbW1lvtN7ypQpAneQa2ho4NChQ+jZsycSExMRHx+P3r17o23bttyd/Y8ePRKY0q5BgwY4dOgQ1NXVhfLPzc2Fr68vfH19oa+vj3bt2sHGxga6urpISkrCixcv8OzZMy69ubk5Vq9eLVPskmhqauLq1auYNm0aN3tIUFAQ+vTpA2NjY7i6uqJBgwbQ1NTEp0+fEBkZiZcvXwrkIeo6yt7eHrt27cKkSZNQXFyMu3fvonnz5nB3d4e9vT2ysrIQEBAgcD7u0qULNm3aVOV9qqwBAwbA3NwciYmJiIiI4F43NzfHgAEDZMrjhx9+QExMDLfMy+bNm/HHH3+gU6dOsLe3h46ODjIyMhATE4MnT55w12j8d7xXVcuWLbFx40YsXLgQAHDp0iXY2NigV69esLa2RmpqKm7duoXExERoaGhg/fr18Pb2BiD+ugIoXZf948ePuHz5MgoKCrBs2TL8+OOP6Ny5M6ytraGpqYm0tDS8fv0a4eHh3Ijxjh07ym3fpGnSpAmOHj2KkSNHIisrC9HR0Rg4cCBsbGzg6uoKExMTZGVlITIyEo8ePUJhYaHASPfatr9E8d6/f49jx47h/PnzePHiBeLj42FiYgI3NzcsXrxYoFyoDP4pyT/77DNueQRZWVtbw93dnRuRvHfvXqVMJS2LRYsWITAwkLvu//HHH/Hnn3/Cw8MDxsbGiIuLw40bNwRmm/jll1+q/B3v3r0bXbt2xadPn5CamoohQ4agVatW6NChA3g8HsLCwrjZVxYuXIjjx49LnR5aERTVrjF27Fjcvn0bPj4+AIBdu3bhyJEj8PDwgIWFBRISEnDt2jVkZWVx23zzzTcCa19Xt8mTJ3MzlvFf2w4ZMoSbglISVVVVHD16FP369UNYWBgyMjLw5ZdfYvHixejatSsaNWoEVVVVpKam4uXLl4iIiOBGFktbgqQiZs2ahXPnznHTgW7atAm7d+9Gr169YGJignfv3uHGjRvIy8tD06ZNMWLECPz2228AxJfHenp6OHPmDPr27Yvo6GjEx8dj7NixMDMzQ5cuXWBpaQnGGFJSUvD8+XO8evWKW4anOs8NQ4cOxYYNG7jr7OvXr8PZ2Rlt27ZFy5Ytoaenh5SUFDx58oS7rizb99q4v6R2CA0NRWhoKLy8vGBvb4+WLVvCzMwMampqSExMxKNHj4Ta/UaNGiUwm4g4P/74I5YvX46ff/6Z+50bGxsjNjYWN2/eFBg5+fvvv8PBwUFkPoo45qtahy7j6uqKJk2aIC4uDh8/foSTkxP69+8PMzMzbllIFxcXgVHHldW9e3cMGTKEm5L766+/ho+PD7p06QIej4eXL1/i3r17KCkpgaenJ6Kjo7l20rqgNtWlq/O4kKQ+lRdOTk6YMmUKt5zO5s2bcfDgQbi4uKBBgwaIiYnB7du3UVBQAH19ffzyyy8iZw8sb/To0dysFZMmTYKfnx8cHBwE2q9kmVFWHtatW4e7d+8CKG0r2bt3r8jlZ7dt24aAgABERUXh9evX+Prrrys0gx4AOdyOQogcZGZmsrVr1zIjIyOBO1wk/bVt25adPHlSpvwPHz7MnJ2dZc4bAHN0dGRbtmyROMq7smJjY9n06dMF7tCS9KeiosKGDBnCHj16JDbPzMxMNnbsWKl5NWzYkJ0/f15ifNUxcvvTp09C+6+mpsY+ffok0/ZlYmJiWJ8+fWT+v1pYWIgcBVTZkRGMlf4/27VrJ/FzR4wYwTIyMgRG2IWFhUnM99GjR9ydjLL82draisxTkXfoFxcXs2XLlgncaSnuT1VVVewd3/LcX0KqQ3BwMBs0aBAzNDRkOjo6rHPnzuzIkSMVyoP/7uOK/vHfIVtUVMSmTp0qMb2RkRE7efKkTOc6RY3cLvP7778zAwMDqfvI4/EE7jrnP5dV5fvi9/LlS9a+fXup23fo0IFFRUWJ3Sf+O7Ol/bVt21biubAySkpK2P79+5mDg4PMcTRs2JD98ssvLC8vT2y+/v7+zMLCQmpeEyZMYNnZ2RJjlLVcKVOZkXXz5s0Tik3SHfDibNu2jRkbG8v0PfJ4PDZ8+HCR+VR2tANjjP3yyy8CIxDL/xkaGrIzZ86wy5cvc6+NGDFCYp5FRUVs5cqVArM9SPpTV1dnXl5eIvNSxMjtMo8ePRKYWUHS36RJk6plf0nt9P333zOgdCTAzJkz2ZIlS9jo0aOZqqoqU1FRYYcPH6503k+ePBE4fq5cuVKpfPhHh+rq6gqMyq1JI7cZK52xYt68eVLrsIaGhlLPeRWpn4SHh7NmzZpJ/MzZs2ezgoICma5HFDFyu4yi2jXWrVsntb6lpaXF1q9fLzGf6hi5zRhjrVq1EopP3GhycXJyctiXX34pMPOdpD9tbW2x+1+ZkduMlc6QM378eImf26JFC/bixQu2bNky7rXffvtNYr7JyclszJgxAiO3JP0ZGRkxPz8/kXkp6vfOWGk7mizXgQCYr69vtewvqX98fX2ZnZ2dzOfUsvPB2rVrWWFhodh8y/8WTp06JbGOqqWlxXbs2CFTzIo45itbh+bn7+8vMENU+b/yozCrUpdJTk4WGkVf/m/mzJksLy9PpvNSbRq5XUaedWlFjdwui1ORx0VFYldGeVHdI7cZYyw7O5v1799f4r41btyYBQYGynztlpaWxpycnCTmyU9RI7eDgoIE6gonTpyQmN/9+/cFrvVkGXXOjzq3SY2SlpbGDh48yKZPn87atGnDLC0tmYaGBtPT02PW1tasf//+bOXKlezBgwcVzru4uJhdv36dLVu2jHXv3p3Z2dkxAwMDpq6uzkxNTVmzZs3Y8OHD2bp169jdu3cVsHfCYmJi2Pbt29nIkSNZ8+bNmampKVNTU2NGRkbMwcGBjR49mm3evFnslDOi3Llzh82dO5e1aNGCGRoaMg0NDWZlZcX69+/Ptm3bxrKysqTmUR2d24wxNmjQIIGT7KBBg2Tetrw7d+6wb7/9lnXs2JE1aNCAqaurM21tbda4cWPm4eHBvvvuO3blyhWxF7dV6dxmrLSxx9fXl3l4eDBzc3OmoaHBrK2t2bBhw9jx48e56Tf4CxpZK9aXLl1ic+fOZW3atGFmZmZMTU2N6erqMltbWzZgwAC2atUqFhQUJHKKD8aqpxHj7du3bO3atczd3Z01bNiQ+/5tbGzY4MGD2ebNm9m7d++qZX8JUbTr168zdXV1pq+vz2bPns0WLlzIVZ5+/fVXmfORV+d2GX9/fzZs2DDuHNigQQPWqVMntm7dOvb+/XvGmGznOkV3bjPGWFJSEvv1119Zv379WKNGjZimpibT1NRkjRo1Yn379mXr1q1jkZGRAtsoonObsdLrgyNHjrCxY8cyW1tbpqOjw3R0dJitrS0bN24cO3bsmNTzTX5+Prty5QpbsWIFGzBgAGvatCnT1dVlqqqqTF9fn7Vo0YJNnjyZnTx5UuzUWvJQWFjILl68yBYuXMhcXV1ZkyZNmLa2NtPU1GSWlpasa9eubP78+ez8+fNipy0vLzMzk23dupX169ePWVlZMQ0NDWZoaMhatGjBvvrqK4nLSPCraLlSmc6H+/fvC/3v79+/L9O25WVkZDAfHx82cuRIZmdnx/T09JiamhozNjZmrVu3ZuPHj2d//fUXe/v2rdg8qtIgxFjpUjleXl6sWbNmTFtbmxkZGbE2bdqw5cuXc597+PDhCjd0JCQksF9//ZUNHDiQWVtbMx0dHe56uEOHDmzatGnMz8+PJSQkiM1DkZ3bjJXesHHixAk2depU1qxZM2ZgYMBUVVWZsbEx69ixI5s7dy47f/68TL8neewvqZ2OHz/Obt68KfT67du3mbq6OjM2NpZ4g48k3t7e3DHdsGHDSp/bU1JSBDot+c8VNa1zu0x4eDhbuHAha9u2LTMxMWHq6urMwsKCubu7sw0bNrCkpCSpeVS0fpKbm8u2bt3KunXrxkxMTJiWlhazs7NjY8eOZZcvX+bSKbtzu4wi2jViYmLYihUrmIuLC1dHMjMzY66urmzlypUsNjZWah7V1bldfhp7IyOjSv/WoqOj2bp165iHhwdr1KgR09LSYhoaGszc3Jx17tyZffHFF+zIkSMsPT1dbB6V7dwuc+nSJTZmzBjWuHFjpqGhwSwsLJibmxv7448/uPaVL7/8ssJl/tOnT9myZctYt27dWMOGDZmGhgbT0tJilpaWrHv37mz+/PnszJkzEhvaFf17z8rKYjt27GDDhg1j1tbWTFtbm/sOevTowZYtW8YePnxYbftL6q+nT5+y7du3s8mTJ7NOnTpx7W7q6urMxMSEOTs7s/Hjx7OdO3fKtASCqN9CTEwMW7JkCWvdujUzNDRk2trazNHRkc2fP1+obiprzPI85itThy7vyZMnbM6cOaxly5ZMX19foBNRnp3bjJUupbRjxw7m7u7OTExMmIaGBrOxsWGff/65QNldVzu3GZNfXVqRnduMKfa4qEzs1VleKKNzm7HSdqj9+/ezvn37MlNTU6aurs4aNmzI3Nzc2JYtW7jzWEWu3TIzM9nPP//MevTowczNzYVulueniM7t9PR0gZuRZs2aJVOeP/74I7eNsbGxxDaW8niMMQZCCCEKl5OTA0NDQxQVFUFXVxcZGRkSpxAlhNQ8RUVFcHJywrt373Dv3j1uCuv09HS4uroiJiYGkZGRsLGxUW6ghJB6Yfny5dz0Yxs3bsT333+v5IgIqR0GDBiAy5cvIyQkBJ06dVJ2OISQWs7NzQ137twBANy7d6/KU/ITQhSrV69e3FTYN27cQK9evZQbECGEkAqjXhVCCKkmJ06c4NYD69ChA3VsE1ILXb9+Ha9fv8bEiRO5jm0AMDQ0xLJly1BQUCCwBichhCgKY4xbax0oXQ+NkJoiISEBZ8+exapVqzBo0CBu7T4ejwdPT88K5RUbGwtvb284OTlBV1cXJiYmcHFxwS+//IKcnJxKxVe2/pyamlqltieEkDKxsbG4f/8+AEBDQwNt27ZVckSEEEIIIXUf1eQIIaQapKamYsWKFdzziRMnKjEaQmqnhIQEBAcHIzg4GCEhIQgJCUFycjIAYNq0afDz85M5r9jYWGzbtg3nzp1DXFwcNDU1YW9vj7Fjx8LLyws6Ojoit7t58yYAoH///kLvDRgwAAC4O8AJIUSRfvvtN7x69QoA0KhRI/Ts2VPJERHyPxYWFnLJx9/fH5MnT0ZGRgb3Wk5ODkJDQxEaGopdu3bh3LlzcHBwkDnPt2/f4urVq2jYsCFat24tlzgJIfUTYwwLFixAcXExAGDUqFHQ0tJSclSEEEIIIXUfdW4TQkgVjRs3DmPGjMHQoUNFVmSDgoIwe/ZsxMbGAihtgJ40aVJ1h0lIrVcTGsrLOpKaNWsm9J6lpSX09PS4NIQQUhn//fcf7t27hy+++AKOjo5C72dkZGDTpk3cdOQA4O3tDVVV1eoMkxCZWVtbw8nJCZcvX67QdmFhYRg3bhxyc3Ohp6eHpUuXwsPDA7m5uTh8+DD+/vtvREZGYsiQIQgNDYW+vr7UPAsLCzFlyhTk5+fj559/pt8NIUSsVatWwdTUFJMmTYKZmZnQ+zExMfjmm29w+vRpAICqqioWLVpU3WESQgghhNRL1LlNCCFVdP/+fRw9ehR6enpo37497OzsoK2tjdTUVDx8+BBRUVFcWnV1dezZs0emxjdCiHjKaihPT08HUDoNuSgGBgZcGkIIqYysrCxs3rwZmzdvhoODA9q0aQMzMzMUFhYiNjYW9+7dE5iKuXfv3liwYIESIyZE2KpVq+Di4gIXFxdYWFggJiYGdnZ2FcpjwYIFyM3NhZqaGi5fvoyuXbty7/Xu3RvNmjXD4sWLERkZic2bN2P16tUS8yspKYGnpydu376N2bNnY8qUKZXZNUJIPfH27VusW7cOixYtQuvWreHk5ARDQ0NkZWXhxYsXCAsL40ZsA8CKFSvQqVMnJUZMCCGEEFJ/UOc2IYTISVZWFgICAhAQECDy/YYNG2Lfvn3o27dvNUdGSN1QExvKCSFEkaKiogRukuPH4/EwadIk/P3331BRUanmyAiRbM2aNVXaPjg4mLumnjlzpkB5Xcbb2xt79uxBREQEtm7diuXLl3NraZdXUlKCGTNm4ODBg5g8eTL++uuvKsVHCKk/ioqKEBYWhrCwMJHva2trY+3atTRqmxBCCCGkGlHndh1UUlKCDx8+QF9fHzweT9nhEFLnnTlzBmfPnsXdu3cRHR2N5ORkpKSkQF1dHaampmjTpg369OmDCRMmQFtbW2AqZFJ3McaQmZkJKysr6nSQk5rQUF42Ylvc6OyMjAwYGxvLHBOV2YSQ8oYOHYqjR4/i6tWrePz4MRISEpCSkoKcnBwYGBigcePGcHNzw/jx49G2bVsUFBSgoKBA2WHXWlRe10ynTp3iHk+fPl1kGhUVFUydOhVLly5FWloabty4gf79+wulKykpwfTp07Fv3z5MmDABfn5+Ff5fU3lNSP2zdu1adOnSBbdv30ZERASSk5ORnJyM4uJiGBsbo1mzZujZsyemTJkCS0tLqudXAyqziSxkKbP5Z13Izs6m3y8hhMhRdZXX1LldB3348AFNmjRRdhiE1HsFBQXIzs7G27dvcfbsWXz77bfKDokoQVxcHBo3bqzsMAjk01Bettb2q1ev0LFjR4Ft4+PjkZWVBVdXV5ljojKbEFIRZQ3rjx8/xo4dO5QdTp1C5XXNEhgYCADQ1dUVKm/59ezZk3scFBQk1LnN37E9btw47N+/v1LrbFN5TQjhFx8fj/j4eAQEBODHH39Udjj1DpXZRJKKltlDhw5VYDSEEFJ/Kbq8ps7tOqhsfdC4uDgYGBgoORpCCKmfMjIy0KRJE1pfvQaRR0N5z549sWHDBly+fBnjx48X2O7SpUtC20tDZTYhhCgXldc1U0REBADAwcEBamrimy2cnJyEtilTNhX5vn37MGbMGPz777+V6tgGqLwmhJCagMpsIgsqswkhRLmqq7ymzu06qGzKFQMDAyrECSFEyWjqyppDHg3lffr0QdOmTXHw4EHMnz8f7dq1A1A6Tfn69euhoaGBqVOnyhwTldmEEFIzUHldc+Tl5SEpKQkApN7pb2xsDF1dXWRnZyMuLk7gvbVr12Lv3r3Q09ODo6OjyNGVI0eO5Mpyfvn5+cjPz+eeZ2ZmAqDymhBCagIqs4kkVMcmhJCaQdHlNXVuE0IIIaTOk1dDuZqaGnbt2oUBAwagR48eGD9+PPT19XH8+HHExsbi119/ha2trdi8yzeW09pehBBCiKCyjmQA0NPTk5q+rMzOysoSeD0mJgYAkJWVhZ9++knktra2tiI7tzds2IA1a9bIHjQhhBBCCCGEkGqjuNW8SbXz8fGBs7MzXFxclB0KIYQQUqNUpqEcgFBDOQB4eHggMDAQbm5uOHLkCP78809YWFjg8OHD8Pb2lpjvhg0bYGhoyP3R+p2EEEKIoLy8PO6xhoaG1PSampoAgNzcXIHX/fz8wBiT+Ofp6Skyz6VLlyI9PZ37K3+zGyGEEEIIIYQQ5aGR23WIl5cXvLy8kJGRAUNDQ2WHQwghhNQY8mooL+Pq6ooLFy5UOI6lS5di4cKF3POydWgIIYQQUkpLS4t7XFBQIDV92Ywo2tracotBU1MTmpqa8PHxgY+PD4qLi+WWNyGEEEIIIYSQqqHObUIIIYTUeTWhoRz4X2M5IYQQQkTT19fnHouaQaW87OxsALLNzFJRdAM5IYQQQgghhNQ8NC05IYQQQuq8mtRQDtBSIoQQQog4WlpaMDU1BQC8e/dOYtrU1FSuzKaZUAghhJD6i+rYhBBSv1DnNiGEEELqvJrWUO7l5YXnz58jJCREIfkTQgghtZmzszMAICoqCkVFRWLTvXjxgnvcokULucdBDeWEEEJI7UB1bEIIqV+oc5sQQggh9UJNaSgnhBBCiGTdu3cHUDqTyoMHD8Smu3XrFvfYzc1N7nFQQzkhhBBCCCGE1DzUuU0IIYSQeqGmNJQTQgghRLKRI0dyj/fs2SMyTUlJCfbt2wcAMDIygoeHR3WERgghhBBCCCFEyahzmxBCCCH1Qk1qKKdpTgkhhBDxXF1d4e7uDgDYvXs37t69K5Rm8+bNiIiIAAAsWLAA6urq1RojIYQQQgghhBDlUFN2AER+fHx84OPjg+LiYmWHQgghhNQ4ZQ3lAQEB2L17N6ZNm4auXbsKpKmuhnIvLy94eXkhIyMDhoaGCvkMQgghRFkCAwMRFRXFPU9KSuIeR0VFwc/PTyC9p6enUB5bt26Fm5sbcnNz0b9/fyxbtgweHh7Izc3F4cOH4evrCwBwdHSEt7e3QvaD6tiEEEIIIYQQUvPwGGNM2UEQ+SprKE9PT4eBgYGywyGEkHqJzsXyJ6qh/LvvvgNQOn34rFmzBNKLaigPCwvjGsr19PQkNpSHhoZCX19fcTsEOk4IIUTZ6DysGJ6enti7d6/M6cU1S/j7+2Py5MnIyMgQ+b6joyPOnTsHBweHSsUpKzpOCCFE+ehcTGRBxwkhhChXdZ2HaeQ2EZKQkYe1Z5/j236OsDfXU3Y4hBBCCABg165dYhvKg4KCEBQUJPCaqM7t9u3b48iRI1xD+bJly4TSlDWUK7pjm4iWV1iMo6FxMNXVRHcHMxjq0DSzhBBSXw0bNgxPnjzB1q1bce7cObx79w4aGhpwcHDAmDFjMG/ePOjo6Cg7zFqvuIThvwdx0NVUQ6/mDaCnSU1FhBBCCCGE1DeMMaw/H4HWjY0wvK2VssORiGosRMias89x7slHfEzPw9E5XaGqwlN2SIQQQojc1ISGcprmVLSSEgbvo49x7ulHAIAKD2jXxAg9HM3Rw9EcbRsb0XUJIYTUAn5+fkJTj1eWjY0NtmzZgi1btsglPyJs67VX2HbtFQBAQ00FPZqZYUBLS/RztoCRjoaSoyOEEEIIIYRUh79uvcHfAdFQ4QGtGxnCzkxX2SGJRdOS10FVHfb/Pi0X/bfcQnZBMX4Y5ozpbnYKiJIQQuo2mgqLyIKOE0E/nn2OXYHRUFflwdpEB68TswXeN9RWR3cHM/RwNEMPR3M0NNRWUqSEkLqCzsNEEv6b0SIjI+vkcXI7MhHT9gSDMcDKUAsf0vO491RVeOja1BQDWlligLMFGhhoKTFSQkh9R2U2kQUdJ4QQUjn/PXiHRcceAwBWDnXGzO6V6xesrvMwdW7XQfI4eP69F4sVp8Khra6KS9/0gLUpTfVGCCEVQRUqIgs6Tv5nT1A01vg/BwBsHd8OI9o1wvu0XNyOTMTtyEQERiUhM69IYJtmDfS4Ud2d7Uygpa6qjNAJIbUYnYeJLOrqcfIxPRdDtgUiJbsAEztb46eRrfDyUyYuhsfjYng8XsRncml5PKCDtTEGtrTEgJaW1EZACKl2dfVcTOSLjhNCCKm4Gy8TMGtvKIpLGOb0aIqlg1tUOi/q3CaVJo+Dp6SEYcLf93A/OgXd7E1xYFZn8Hg0DSghhMiKKlREFnSclLoY/hFzDzwEY8Digc3xVS8HoTRFxSV4/C4NtyKTcDsyEU/epaGE7ypWU00FrnYm6Pn/nd3NGujRtQshRCo6DxNZ1MXjpLC4BON97+FBbCpaNTLAf192E7pJLCYpGxeflXZ0P4pLE3jPuaEBBrayxMBWllTmEkKqRV08FxP5o+OEEEIq5lFcGib43kNuYTFGtW+EzWPaQqUKSwJS5zapNHkdPDFJ2Ri49TbyCkuw4bPWmOBqLccoCSGkbqMKFZGkPkxzKqsHsSmY+Pd95BeVYHIXa6wb0UqmBvK0nAIERiX9/8juJMRn5Am839BQC+7NSqcv7+5gRmuGEkJEovKayKIuHidlS4Hoa6nh3NfuUkdif0zPxeVnn3AxPB73o5MFbjBraq6LgS1LO7pbNzKkjm5CiELUxXMxkT86TgghRHbRSdkY/ecdpGQXwL2ZGXZPc4GGmkqV8qTObVJp8jx4dgW8wY/nIqCnqYbL3/aAlRGtbUkIIbKgChWRRX0/Tt4kZmH0n3eQmlOIPk4NsHNKR6ipVvwimjGGVwlZuB2ZiFuRiQiOTkF+UQn3vgoPaNPYCD0czdHT0QxtGxtV6nMIIXVPfT8PE9nUtePkYng8vvz3AQBg55SOGNDSskLbp2QX4OrzT7j4LB6Br5JQUPy/MtfKUAsDWlliYEtLdLI1gWoVRn0QQgi/unYuJvJFN5ATQkjFJGTmYfSfdxCXkovWjQxx6Isu0NNUq3K+1LlNKk2eB09xCcPnf91B2Ns0eDQ3xz+eLnQXNiGEyIAq3kQW9fk4ScrKx2c77uBtSg7aNi69iNbRqPpFNADkFRbjfnQKt173q4QsgfcNtNTg5mDGrdfdiG7eI6Teqs/nYSJdXWwoj03OxtA/ApGZV4TZ7nZYPsS5Svll5hXixstEXAqPx42XCcgpKObeM9XVQP+WFhjQ0hLd7M2qPAqEEFK/UZlNZEHHCSGESJeZV4jxvvfw7EMGbEx18N+X3WCurymXvKlzm1SYoireUQmZGLw1EAXFJdgyti0+69BYDtESQkjdRhUqIov6epzkFBRhgu89PH6XjiYm2jgx101uF9GifEjLRcCr0unLA6OSkJ5bKPC+vbku19Hdxc4U2hqqYnIihNQ19fU8TCqmrhwneYXFGP3nHTz7kIGONsY4/EUXqMtxJpO8wmIEvErChfCPuPr8EzLyirj39LXU0MepAQa2skQPR3O53dBGCKk/6sq5mCgWHSeEECJZQVEJpvsFIygqGWZ6Gjg+txtsTHXllj91bpNKU8TB43MjCr9ceglDbXVcWdgDDfS15JIvIYTUVVShIrKoj8dJUXEJvvz3Aa5GJMBYRx3H53ZDU3O9avv84hKGx+/SuFHdj+LSBNYN1VBTgautCXo4lo7sbm6hT7PWEFKH1cfzMKm4unKcLDv5FAfvv4WJrgbOze+OhoaKm7mksLgE994k42J4PC49+4SkrHzuPS11FfR0NMfAVpbo7WQBQ211hcVBCKk76sq5mCgWHSeEECJeSQnDN0ce4czjD9DRUMWRL7qidWNDuX4GdW6TSlPEwVNYXIKRPkF49iEDg1pZ4s/JHeWSLyGE1FVUoSKyqG/HCWMMK0+H4997b6GppoKDszujo42JUmNKzylE0OskrrP7Q3qewPsWBpro0ax0VHd3BzMY62ooKVJCiCLUt/MwqZy6cJycCnuPb448Ao8H7J3uih6O5tX22cUlDGFvU3ExPB4Xn8XjXWou9566Kg/d7M0wsJUl+jlbwExPcTO5EEJqt7pwLiaKR8cJIYSI9+PZ59gVGA01FR7+8XRRSJ2AOrdJpSnq4Hn2IR0jtgehqIRhx6QOGNy6odzyJoSQuoYqVESSuriGpyz+vPkaP198AR4P+HNSBwxsVbOuJRhjeJ2YhVuRpZ3d994kI7+ohHufxwPaNDZCz2alo7rbNTGCmhyncyWEVD8qr4ksavtx8upTJoZvD0JuYTHm92mGhf0clRYLYwzPPmTg0rN4XAyPx6uELO49FR7QydYEA1taYkArSzQyUtzIckJI7VPbz8WketBxQgghov19+w1+Oh8BAPhtXFuMaq+Y5Yepc7se+vfffxEQEIAHDx7g6dOnKCgowJ49e+Dp6VmhfBR58Gy5/BLbrkfBTE8DV77tSaOXCCFEDKpQEVnUp+Pk9KP3WHD4EQBg1VBnzOhup9yAZJBXWIzg6JTSUd2vEhH5KUvgfX0tNbjZm/3/et1maGyso6RICSGVVZ/Ow6Ti6sLNaNn5RRjhE4SohCx0dzDD3hmuUFWpOcttRCVkcR3dT9+nC7zXprEhBrS0xMBWlrCvxiVMCCE1E5XZRBZ0nBBCiLCyWZwAYOkgJ8zpaa+wz6LO7XrI1tYWsbGxMDMzg66uLmJjY2tc53Z+UTGGbgvEq4QsjGrfCL+NayfX/AkhpK6gChWRRX05Tu68TsK0f4JRWMwws7sdVg51VnZIlfIxPRcBkUm49SoRga+SkJ5bKPB+U3Nd9Ghmjp6O5ujc1AQ6GmpKipQQIqv6ch4mVVNbjxPGGL498ginHn1AA31NnF/gXqOn/X6XmoNLzz7hUng8QmJTwN9a1ayBHqa72WFiZ2vlBUgIUaraei4m1YuOE0IIERTwKhEz/EJQWMwww80OK4e2AI+nuJtdq+s8TC1uNciuXbvQrFkz2NjYYOPGjVi6dKmyQxKiqaaKTZ+3weg/7+Bk2HsMbdMQfVpYKDssQgghhNRQL+MzMWf/AxQWMwxubYnlg1soO6RKa2iojbEuTTDWpQmKSxievEvD7cgk3H6ViLC3qXiTmI03idnwuxMDDVUVuNgZc+t1O1nqK7TyQAghhJR3KDgOpx59gKoKD9sndqjRHdsA0NhYBzO722FmdzskZubjyvNPuPgsHneikvAqIQvLTj6FrakOujmYKTtUQgghhBBCarzw9+n48v/b5Ia2aYgVQxTbsV2dqHO7Bunbt6+yQ5BJe2tjzHJvCt/bb7Ds5FNctjWBoba6ssMihBBCSA3zKSMP0/cEIzOvCJ1sjLFlbDuo1KCpUKtCVYWH9tbGaG9tjAV9myE9txB3oko7um9HJuF9Wi6CopIRFJWMDRdeoIG+Jvo5W+D7QU4w0KLrJkIIIYoV/j4dq/2fAQC+G9AcrnYmSo6oYsz1NTGxszUmdrZGek4h1p59juMP32GN/3Ocm98daqoqyg6REEIIIYSQGis2ORuee4KRXVCMbvam2Dy2bZ1pkwMAqg0ASEhIwNmzZ7Fq1SoMGjQIZmZm4PF44PF4FZ4SPDY2Ft7e3nBycoKuri5MTEzg4uKCX375BTk5OYrZASVY2M8Rdma6+JSRjw3/vwg9IYQQQkiZzLxCeO4JwYf0PDQ118XfUztBS11V2WEpjKG2Oga1bogNn7VB4PceuLqwJ1YNdUav5ubQUldBQmY+Dtx/i5WnwpUdKiGEkDouPbcQXx14iIKiEvRt0QBfuDdVdkhVYqijjpVDW8BIRx0vP2XiYPBbZYdECCFETvLy8rBw4UL06NEDVlZW0NLSgqWlJdzc3LBnzx4UFhZKz4QQQoiApKx8TPsnGElZBWjR0AA7p3SEplrdapOjkdsALCzkM622v78/Jk+ejIyMDO61nJwchIaGIjQ0FLt27cK5c+fg4OAgl89TJi11Vfw8ug3G7ryLwyFxGNrGCt2b0dRghBBCiCx8fHzg4+OD4uJiZYeiEIXFJfjqwENEfMyAmZ4m9k53hbGuhrLDqjY8Hg8ODfTg0EAPM7rbIa+wGNdfJGDewYc4/egDBrVqiIGtLJUdJiGEkDqIMYbvjj3G25QcNDbWxuYxdWPWFCMdDXj3c8TK08+w+XIkhrWxqlfXFoQQUldlZWXhzz//hKurK4YMGQJzc3OkpqbiwoULmDFjBg4fPowLFy5ARYXG6BFCiCyy84swwy8EMcml9YG9012gXwdnEKRSoRxra2v079+/wtuFhYVh3LhxyMjIgJ6eHn766SfcuXMH165dw+zZswEAkZGRGDJkCDIzM+UdtlK42plgalcbAMCSE0+QnV+k5IgIIYSQ2sHLywvPnz9HSEiIskORO8YYlp54ioBXSdBWV8U/np3QxERH2WEplZa6Kga3bog5Pe0BACtOPUVKdoGSoyKEEFIX7Q6MxuXnn6ChqoIdkzrAUKfuNGRNcLWGk6U+0nML8dvVSGWHQwghRA5MTEyQnp6OW7du4e+//8b69evx559/IioqCr169cLly5dx4cIFZYdJCCG1QmFxCeYeeIgn79JhoquBfTNc0cBAS9lhKQR1bgNYtWoV/P39ER8fj9jYWOzcubPCeSxYsAC5ublQU1PD5cuXsWzZMnTt2hW9e/eGr68vNm3aBKC0g3vz5s3y3gWlWTzQCY2MtPEuNRe/XHqp7HAIIYQQomS/X32F/x68gwoP8JnUHm0aGyk7pBrjm77N4Gihh6SsAvxw5pmywyGEEFLHPIhNwcYLLwAAK4e2qHNlsJqqClYNdQYA/HsvFi/iM6RsQQghpKZTUVGBhobwTBxqamoYNWoUACAqKqq6wyKEkFqHMYbv/3uC25GJ0FZXxe5pndDUXE/ZYSkMdW4DWLNmDYYOHVrp6cmDg4MREBAAAJg5cya6du0qlMbb2xstWrQAAGzdurXOrBeip6mGjaNbAwD87sQgODpFyRERQgghRFmOhsRh67VXAIAfR7ZGbyf5LP1SV2iqqeLXMW2hqsKD/+MPOP/0o7JDIoQQIoGPjw+cnZ3h4uKi7FCkSs7Kh9eBMBSVMAxra4XJXWyUHZJCdHMww8CWlihhwFr/52CMKTskQgiptRISEnD27FmsWrUKgwYNgpmZGXg8Hng8Hjw9PSuUV2xsLLy9veHk5ARdXV2YmJjAxcUFv/zyC3JyciocW0lJCS5evAgAaNWqVYW3J4SQ+ubniy9xIuw9VFV42DGpA9pbGys7JIWiNbfl4NSpU9zj6dOni0yjoqKCqVOnYunSpUhLS8ONGzcqNf15TeTezBzjOjXBkdA4fH/8CS4scIeWet1anJ4QQgghkt18mYClJ58CALw87DGxs7WSI6qZ2jQ2wtye9th+IworT4Wjs50JTPU0lR0WIYQQEby8vODl5YWMjAwYGhoqOxyxSkoYvjnyCPEZeWhqrosNn7UGj1f719kWZ/mQFrj+MgF3Xifj0rNPGNjKUtkhEUJIrVTZgV7l+fv7Y/LkycjI+N+MGjk5OQgNDUVoaCh27dqFc+fOwcHBQWweBQUFWL9+PRhjSE5OxrVr1/DixQtMnz4dffr0kUuchBBSV/0TGI2/br0GAGz8rDU8nBooOSLFo5HbchAYGAgA0NXVRceOHcWm69mzJ/c4KChI4XFVp2VDWsDCQBPRSdm09hUhhBBSz4S/T4fXgYcoLmEY1b4RFvVvruyQarSv+zjAyVIfydkFWHWapicnhBBSNdtvRCHgVRK01FXw56SO0NOs2+MYmpjo4Av3pgCAn84/R15hsZIjIoSQ2s/a2rpSA7HCwsIwbtw4ZGRkQE9PDz/99BPu3LmDa9euYfbs2QBKl+kcMmQIMjMzxeZTUFCANWvWYO3atfDx8cHLly+xaNEi+Pr6VnqfCCGkPvB//AHrzj0HAHw3oDnGdGqi5IiqB3Vuy0FERAQAwMHBAWpq4iuRTk5OQtvUFYba6vhpZOn05H/ffoPHcWnKDYgQQggh1eJdag6m+4Ugu6AYbg6m+Hl0mzo9Wkwe+KcnP/f0I84++aDskAghhNRSQVFJ3A3mP45sjeaW+kqOqHp85WEPSwMtxKXkYndgtLLDIYSQWmnVqlXw9/dHfHw8YmNjsXPnzgrnsWDBAuTm5kJNTQ2XL1/GsmXL0LVrV/Tu3Ru+vr7YtGkTgNIO7s2bN4vNR09PD4wxFBcXIy4uDj4+Pti1axd69eolMCKcEELI/9yJSoL30cdgDJjW1QZf9bJXdkjVhjq3qygvLw9JSUkAgMaNG0tMa2xsDF1dXQBAXFyc0Pu7du2Cp6cnPD09cezYMaHXdu3aJTLf/Px8ZGRkCPwpQ19nC4xoZ4USBnz332PkF9Hd04QQQkhdlp5TCM89IUjMzIeTpT7+nNwRGmp0eSmLVo0M4eVROi3fylPhSMzMV3JEhBBCaptPGXlYcDgMjAHjOjXB5x0lt0nUJToaalgyqHQAgc+NKMSn5yk5IkIIqX3WrFmDoUOHVnp68uDgYAQEBAAAZs6cia5duwql8fb2RosWLQAAW7duRWFhocQ8VVRU0LhxY8ydOxe+vr4ICgrCTz/9VKn4CCGkLnv2IR1f7H+AguISDG5tiVXDWtarwSbU+lhF/NOp6OnpSU1f1rmdlZUl9F5gYCD27t2LvXv34uHDhwBKpy8ve61s+vPyNmzYAENDQ+6vSRPlTTvww7CWMNXVQOSnLPjceK20OAghhBCiWPlFxfhifyiiErJgaaCFPdNdYKClruywapV5Hg5o0dAAqTmFWHHqKRhjyg6JEEJILVFUXIKvD4YhKasATpb6WDOipbJDqnYj2lmho40xcgqK8fPFF8oOhxBC6p1Tp05xj6dPny4yjYqKCqZOnQoASEtLw40bN2TOv2ya9Js3b1Y6RkIIqYviUnLguScEWflF6Gxngi1j20FVpf50bAPUuV1leXn/uztYQ0NDanpNTU0AQG5urtB7fn5+YIyJ/fPz8xOZ59KlS5Gens79iRoVXl1MdDWwdkQrAMCOG1GI+EjTxhBCCCHl+fj4wNnZGS4uLsoOpVJKShgWHXuC+9Ep0NdUw57pLmhoqK3ssGodDTUV/DqmDdRUeLj07BPOPKbpyQkhhMjml8svERyTAj1NNfw5uSO01FWVHVK14/F4+GGYM3g84GTYezyITVV2SIQQUq+UDcTS1dVFx44dxabr2bMn9zgoKEjm/D98KK0fqavTTdSEEFImJbsA0/4J5mZR9J3aqV7WBahzu4q0tLS4xwUFBVLT5+eXTjmprS2/BmBNTU0YGBgI/CnT4NaWGNjSEkUlDN/99xhFxSVKjYcQQgipaby8vPD8+XOEhIQoO5RK+fniC/g//gA1FR7+mtIRLRoq99qjNmtpZYivezcDAPxw5hkSMmlaVUIIIZJdff4JO2+9AQBs+rwN7Mx0lRyR8rRpbIQx/z8d+xr/ZygpoVlQCCGkukRERAAAHBwcoKamJjadk5OT0DZlnj9/jpycHKFtcnJysHDhQgDA4MGD5REuIYTUejkFRZjhF4I3SdloZKQNv+muMNSunzcAUed2Fenr63OPRU01Xl52djYA2aYwr6iaMgqMx+Nh7ciWMNRWR/j7DPgGvFFqPIQQQgiRn313Y7DzdmnZ/vPoNnBzMFNyRLXfVx72aGllgLScQiw/GU7TkxNCCBErLiUH3sceAwA8u9licOuGSo5I+RYNaA49TTU8eZeO/x6+U3Y4hBBSL+Tl5SEpKQkA0LhxY4lpjY2NuaU6y884evToUVhaWmLw4MH46quvsGTJEkyZMgXW1ta4ePEi3N3d8e2334rNOz8/HxkZGQJ/hBBSFxUWl8DrwEM8ikuDobY69s5wgaWhlvQN6yjq3K4iLS0tmJqaAgDevZNciUpNTeU6txWxLnZNGgXWQF8Lq4Y6AwB+v/oKUQmZUrYghBBCSE13+Vk8Vp95BgDw7ueI0R0lN2IQ2airquDXMW2hrsrDleefcPoRTU9OCCFEWH5RMbwOPkR6biHaNTHCssEtlB1SjdBAXwvz+zgAADZdfInMvEIlR0QIIXVfZub/2nplGcRV1rldfnDY0KFDMX78eLx9+xaHDh3C5s2bceHCBbRp0wY7d+7E9evXJc6AumHDBhgaGnJ/imhzJ4QQZWOMYdmJp7jxMhGaair4x7MTHBroS9+wDqPObTlwdi7txI2KikJRUZHYdC9evOAet2hR9yuhn3VohF7NzVFQVILF/z1BMU0PRgghhNRaYW9TMf9wGEoYMMG1Ceb1dlB2SHVKi4YGmM83PfmnDJqenBBClK2mzI5W5qdzEXjyLh1GOurwmdQBGmrUpFPGs5sd7Mx0kZSVj+3Xo5QdDiGE1Hl5ef+rr2hoaEhNr6mpCQDIzc0VeL1Tp07w9fVFeHg4UlNTUVhYiKSkJFy/fh1ffPGFxOnOAWDp0qVIT0/n/sqPDCeEkLpg8+VIHHvwDio8YPvEDuhoY6LskJSOakJy0L17dwClU44/ePBAbLpbt25xj93c3OQeR02rePN4PKwf1Rp6mmp4+DYNe+/EKDskQgghhFRCTFI2Zu4NRV5hCTyam2PdiFbg8XjKDqvO+bKXPVo3MkR6biGWnXhK05MTQoiS1aTZ0fwff8C+u7EAgN/GtUMjI/Gj2OojDTUVrBxaOojgn6BoRCdlKzkiQgip27S0/jcVbkFBgdT0+fn5ACBxFHZlaGpqwsDAQOCPEELqkn13Y7D9RunNmz+Nao1+zhZKjqhmoM5tORg5ciT3eM+ePSLTlJSUYN++fQAAIyMjeHh4yD2OmlTxLmNlpM1Nlbbp0gvEJlMFkxBCCKlNkrPy4bknGCnZBWjdyBDbJ3aAmipdQipC2fTkGqoquPYiAScevld2SIQQQmqA14lZWHL8CQDAy8MeHs0bKDmimsmjeQP0dDRHYTHDj2efKzscQgip0/T1/zcdbvmpxkUpW6pTlinMCSGElLrw9CN++P/lAb/t64gJrtZKjqjmoJZJOXB1dYW7uzsAYPfu3bh7965Qms2bNyMiIgIAsGDBAqirq1drjMo0wbUJujY1RV5hCZYcf4oSmp6cEEIIqRVyC4oxa18oYpJz0NhYG7s9O0FXU/K0cKRqmlvqY0Hf0unJV/s/Q3w6TU9OCCH1WW5BMb769yGyC4rR2c4E3/Z1VHZINRaPx8PKoc5QU+Hh2osE3HyZoOyQCCGkztLS0oKpqSkA4N27dxLTpqamcp3biloTu6bNaEoIIVV1/00yFhx5BMaAiZ2tMb8PLQ/Ij1onAQQGBiIq6n9rMiUlJXGPo6Ki4OfnJ5De09NTKI+tW7fCzc0Nubm56N+/P5YtWwYPDw/k5ubi8OHD8PX1BQA4OjrC29tbIfvh4+MDHx8fFBcXKyT/yuLxeNg4ujUG/h6Au2+ScSjkLSZ1tlF2WIQQQgiRoLiEYf7hMIS9TYOhtjr8pruigb6W9A1Jlc3p0RSXn8Xj8bt0LD3xBP94utA08IQQUk+tPB2Ol58yYaaniT8mtKfZU6RwaKCHad1ssTswGuvOPoebgxnU6TsjhBCFcHZ2RkBAAKKiolBUVCR2fewXL15wj1u0aKGQWLy8vODl5YWMjAwYGhoq5DMIIaS6vIjPwKx9oSgoKkF/ZwtaHlAE6twGsGvXLuzdu1fke0FBQQgKChJ4TVTndvv27XHkyBFMnjwZGRkZWLZsmVAaR0dHnDt3TmDaFnmqyYW4jakuvhvQHGvPPseG8y/g0bwBrGiNMEIIIaRGYoxhrf8zXHn+CRpqKvh7aic4NKDp46qL2v9PTz5kWyBuvEzEsQfvMLaTYkY4EEJIXfbvv/8iICAADx48wNOnT1FQUIA9e/aIrNPXREdD4vDfg3dQ4QF/TGiPBgZ0k5ks5vdphlNh7/E6MRv77sZiZnc7ZYdECCF1Uvfu3REQEIDs7Gw8ePAAnTt3Fpnu1q1b3GM3N7fqCo8QQmql92m58PwnBJl5RehkY4xtE9pDVYU6tsuj21flaNiwYXjy5Am+/fZbODo6QkdHB0ZGRujUqRN+/vlnhIWFwcGh/k4dMK2bLTraGCMrvwjLTj4FYzQ9OSGEEFIT/R3wBnvvxgIAtoxtC1c7EyVHVP80s9DHwv6lU8+u83+OD2m5So6IEEJqnxUrVsDX1xexsbFo2LChssOpkOcfMrDydDgAwLt/c3S1N1VyRLWHobY6Fg1oDgD4/WokkrPylRwRIYTUTSNHjuQe79mzR2SakpIS7Nu3DwBgZGQEDw+P6giNEEJqpbScAkz7JxjxGXlo1kAPu6Z1gpa6qrLDqpGocxuAn58fGGMy/0liY2ODLVu24OXLl8jOzkZqaipCQkKwePFi6OjoVNMe1UyqKjz8PLoNNNRUcPNlIk48fK/skAghhBBSjv/jD1h/vnTauBVDWmBoGyslR1R/zXZvivbWRsjML8KSE3RjICGEVNSuXbsQExODxMREfPnll8oOR2aZeYXwOvgQ+UUl8Ghujrk97ZUdUq0ztlMTtLQyQGZeEX69HKnscAghpE5ydXWFu7s7AGD37t24e/euUJrNmzcjIiICALBgwQKoq6srJBZac5sQUtvlFRZj5t5QRCVkwdJAC3tnuMJIR0PZYdVYNC15HVJT19zm59BAD9/0bYZNF19ijf8zuDczo6nVCCGE1Ds1tcy+/yYZ3kcfAwA8u9nSNJ5KpqrCwy+ft8XgbQG4HZmIIyFxGO9qreywCCGk1ujbt6+yQ6gwxhi+P/4E0UnZsDLUwpax7aBC0xBWmKoKDz8Ma4mxO+/icMhbTOpsjVaNatbybYQQomyBgYGIioriniclJXGPo6Ki4OfnJ5Be1LIeW7duhZubG3Jzc9G/f38sW7YMHh4eyM3NxeHDh+Hr6wugdLlOb29vhewHULOX6ySEEGmKiksw72AYHsSmwkBLDftmutKyvlLwGA0BqXPKCvH09HQYGBgoOxwhRcUlGLXjDp6+T8eAlhb4a3JH8HhUWSeE1C01/VxMaoaadJxEJWTisx13kJFXhAEtLbBjUkda06eG+Pv2G/x0PgJ6mmq49G0PNKIKDiFyU5POw3VJQkICgoODERwcjJCQEISEhCA5ORkAMG3aNKHGckliY2Oxbds2nDt3DnFxcdDU1IS9vT3Gjh0LLy8vmWdI27hxI5YuXVqpNber8zjZExSNNf7Poa7Kw5E5XdHB2lihn1fXfX0oDP6PP8DV1gRH5nShtgdCajEqs+XP09MTe/fulTm9uG4Ef39/TJ48GRkZGSLfd3R0xLlz56pluU46TgghtQ1jDMtOhuNQ8FtoqKng35mda/XygNV1HpbbyO3Xr1/jzJkzePz4MZKSkpCbmytx6kQej4dr167J6+NJLaKmqoJNn7fBsD8CcenZJ5x/Go8hbWrX+meEEFKbUZlNykvIyMO0f0KQkVeEDtZG2Dq+PXVs1yAzutvh4rN4PIhNxff/PcH+ma7UOE9IPVCby2sLCwu55COqsTwnJwehoaEIDQ3Frl27qq2xvDqEvU3F+vOlU7cuHdSCOrblYOkgJ1x5Ho/gmBScffIRw9rSciuEECJvw4YNw5MnT7B161acO3cO7969g4aGBhwcHDBmzBjMmzev3i/XSQgh4my99gqHgt9ChQdsG9++VndsV6cqd27n5OTAy8sL+/fvF6poM8aEGt7K0lCDXP3WoqEBvDwcsPXaK6w6HY6u9qYw0aX1AwghRJGozCaiZOUXYbpfCN6n5cLOTBe7prlAS11V2WERPqXTk7fBoK0BCIxKwsHgt5jU2UbZYRFCFKSuldfW1tZwcnLC5cuXK7RdWFgYxo0bh9zcXOjp6WHp0qUC05z+/fffiIyMxJAhQxAaGgp9fX0F7UH1SM0uwLyDYSgsZhjUyhLT3WyVHVKdYGWkjbk9HfDb1UhsOB+Bvi0soK1B1zmEEAIAfn5+FZpNRRIbGxts2bIFW7ZskUt+FVVTl/4ihBBJDt5/i9+vvgIArB3RCgNbWSo5otpDpSobM8YwatQo7Nu3DyUlJTA1NUXbtm25yrW7uzucnZ2hqqrKvda8eXP07NkTPXr0qHr0RICPjw+cnZ3h4uKi7FBk4uXhgOYW+kjOLsAa/2fKDocQQuo0KrOJKIXFJfA68BDPPmTAVFcDftNd6GazGqqpuR4WD3QCAKw/F4G4lBwlR0QIUYS6Ul6vWrUK/v7+iI+PR2xsLHbu3FnhPBYsWIDc3Fyoqanh8uXLWLZsGbp27YrevXvD19cXmzZtAgBERkZi8+bN8t6FalVSwrDw6CO8T8uFrakOfv68TY29WaE2+qJHUzQy0saH9Dz8deu1ssMhhBCiAF5eXnj+/DlCQkKUHQohhMjk8rN4rDj1FADwdW8HTO5Cgxgqokqd28eOHcOVK1cAAD/88APi4+Oxb98+7v1bt27h6dOnSE1NxZYtW6Crq4uUlBSsW7cON27cqFrkREhtK8Q11EqnJ1fhAacffcDV55+UHRIhhNRZVGaT8hhjWHEyHLciE6GlroLdni6wMdVVdlhEgundbOFia4zsgmJ8f/wJSkrET09MCKmd6kp5vWbNGgwdOrTS05MHBwcjICAAADBz5kx07dpVKI23tzdatGgBANi6dSsKCwsrH7CS/XnrNW68TISmmgp2TOoIAy11ZYdUp2hrqGLZ4NJj5a9br/E+LVfJERFCCCGEkPosNCYFXx8KQwkDxnZqjIX9HJUdUq1Tpc7tgwcPAgC6du2KH374ASoqKiLvLtbV1cU333yDa9euITMzE5999hk+fPhQlY8mdUTbJkaY3aMpAGD5qadIz629DRKEEFKTUZlNyvvjehSOhMZBhQf8MaED2jUxUnZIRAoVFR5++bwttNRVcOd1Mg4Ev1V2SIQQOaPyutSpU6e4x9OnTxeZRkVFBVOnTgUApKWl1ajO/Yq4+zoZmy+/BACsHdESzlYGSo6obhrc2hKd7UyQX1TCrWtOCCGEEEJIdXv1KRMz94Yiv6gEfZwaYP2o1jRrUyVUqXM7NDQUPB4Ps2fPlim9i4sL5s6di6SkJGzbtq0qH03qkG/7OqKpmS4+ZeRj/TmqZBJCiCJQmU34/ffgHbZciQQArBnRCv2cKzeyjlQ/WzNdfP//05NvOB+Bt8k0PTkhdQmV16UCAwMBlHbid+zYUWy6nj17co+DgoIUHpe8JWTmcSM2PuvQCGM7NVF2SHUWj8fDqmHOUOEB5558xP03ycoOiRBCCCGE1DMJmXmY9k8w0nML0d7aCNsndoCaapW6aeutKn1rSUlJAICmTZtyr6mr/2/6rNxc4amehgwZAgA4e/ZsVT6a1CFa6qrY9Hkb8HjAkdA4BLxKVHZIhBBS51CZLT///vsv5syZg06dOkFTUxM8Hg9+fn7KDktmAa8SseT4EwDAlz3tMYXW9Kl1pnW1haudCXIKivHdf49penJC6hAqr0tFRJTe9Ozg4AA1NTWx6ZycnIS2qS2Kiksw/1AYkrLy4Wihhx9HtqIRGwrW0soQ412tAQCr/Z+jmMpPQgipM3x8fODs7AwXFxdlh0IIIWKtOxuBD+l5aGqui93TXKCtoarskGqtKnVul1Uy9fX1udf4H8fHxwttY2hoCACIi4urykeTOqaTrQmmdbUFACw5/hTZ+UXKDYgQQuoYKrPlZ8WKFfD19UVsbCwaNmyo7HAq5PmHDMz99yGKShiGt7XC4gHNlR0SqQQVFR5+/bwtdDRUcT86BfvvxSo7JEKInFB5DeTl5XGd/I0bN5aY1tjYGLq6ugBE7/+uXbvg6ekJT09PHDt2TOi1Xbt2icw3Pz8fGRkZAn/y9vvVV7j3JgW6GqrYMakjdDTEd+IT+fHu5wgDLTVEfMzAkZC68ZshhBACeHl54fnz5wgJCVF2KIQQIlJQVBL8H3+ACg/YNr49THQ1lB1SrValzm0rKysAQGLi/0baWlpaQltbGwDw8OFDoW1evXoFACgqos5Leavtd6h9N6A5Ghtr431aLjZdfKHscAghpE6hMlt+du3ahZiYGCQmJuLLL79Udjgy+5CWi+l+wcjKL0KXpib4ZUwbqKjQCLHaytpUB0sGlY5Y3HjhBWKTs5UcESFEHqi8BjIzM7nHenp6UtOXdW5nZWUJvRcYGIi9e/di79693HcXFBTEvVY2/Xl5GzZsgKGhIffXpIl8pwu/8TIB229ElX7W6DZwaCB9P4l8mOpp4pu+jgCAXy+/RHpOoZIjIoQQQgghdV1+UTFWng4HAEzpYoNWjQyVHFHtV6XO7bZt2wIAnj59yr3G4/HQuXNnAMCOHTsE0hcWFmLLli0AgGbNmlXlo4kItf0ONV1NNfw8ug0AYO/dWARHpyg5IkIIqTuozJafvn37wsamdk3lnZ5bCM89wfiUkY9mDfSwc0onaKrR1Ee13eTONuja1BS5hcX47tgTmp6ckDqAyuvSkdtlNDSkj2bQ1NQEIHrKdj8/PzDGxP6JW1Zk6dKlSE9P5/7kOSr+fVouvj3yCEBpw9bwtlZyy5vIZkpXGzg00ENKdgG2Xnul7HAIIYQQQkgdtysgGm8Ss2Gmp4mF/WkWRXmoUud27969wRjDxYsXBV6fMWMGGGO4efMmevXqBR8fH2zatAmurq4IDQ0Fj8fD2LFjqxQ4qZvcHMwwwbX0rvjF/z1GbkGxkiMihJC6oSaU2QkJCTh79ixWrVqFQYMGwczMDDweDzweD56enhXKKzY2Ft7e3nBycoKuri5MTEzg4uKCX375BTk5OXKJt67ILyrGl/sfIPJTFhroa8JvhisMtdWlb0hqPBUVHjZ93gY6GqoIjkmB350YZYdECKmimlBeK5uWlhb3uKCgQGr6/Px8AOBGt8uDpqYmDAwMBP7koaCoBF4HHiItpxCtGxlixdAWcsmXVIy6qgpWDXUGAOy7G4OohEwpWxBCCCGEEFI5cSk5+ON66Q2Vy4c4UZucnFSpc3vUqFHg8Xi4ceMG3rx5w70+efJkDBw4EIwxBAQEYP78+Vi6dCmePHkCAGjXrh0WLlxYtchJnbV0cAtYGmghJjkHv12NVHY4hBBSJ9SEMtvCwgLDhg3DunXrcPHiRSQnJ1cqH39/f7Rp0wZbtmzBy5cvkZOTg9TUVISGhmLx4sVo3749oqKi5BJzbccYw/f/PcHdN8nQ1VDFnukuaGQkv8Z/onxNTHSwbHBp58imSy8QnUTTkxNSm9WE8lrZ+NcYFzXVeHnZ2aXnPVmmMK8oeS/9teFCBB7FpcFASw07JnWgWVSUqIejOfq2sEBRCcMa/+dgjGY/IYQQQggh8rf27HPkFZags50JRrZrpOxw6owqdW5bWlqisLAQeXl5aNq0qcB7J0+exPLly2FhYcFN+WVoaAgvLy/cuHFD4G5sQvgZaKlj/WetAAC7At7gUVyacgMihJA6oKaV2dbW1ujfv3+FtwsLC8O4ceOQkZEBPT09/PTTT7hz5w6uXbuG2bNnAwAiIyMxZMgQgTU766tfLr3EqUcfoKbCw5+TO6KlFa3pUxdN6myN7g5myCsswXfHHqOYpicnpNaqaeW1MmhpacHU1BQA8O7dO4lpU1NTuc5tea+LDch36a/zTz9iT1AMAGDz2HZoYqJT5TxJ1awY0gIaqioIeJWEaxEJyg6HEEJIFcj7hjRCCJGHaxGfcOX5J6ip8PDjyFbg8XjKDqnOUKtqBioqovvHNTU1sW7dOqxbtw4pKSkoKiqCubk5/fOITHo7WWBU+0Y4GfYei/97DP+vu9Nd7YQQUkXKLrNXrVoFFxcXuLi4wMLCAjExMbCzs6tQHgsWLEBubi7U1NRw+fJldO3alXuvd+/eaNasGRYvXozIyEhs3rwZq1evFsrD29ubm8JU1s+sjeuYHrgfix03XwMANnzWGj0czZUcEVEUHo+HjaNbY+DvAQiNTcWeoGjMcm8qfUNCSI2k7PK6JnB2dkZAQACioqJQVFQENTXRTRcvXrzgHrdoUXOn+I5Oysbi/0pH2c/p0RT9nC2UHBEBAFszXczoboe/br3Gj+eew93RjNodCCGklvLy8oKXlxcyMjJgaEg3dRNClC+vsBir/Z8BAGa626GZhb6ULUhFVLlzWxYmJibV8TGkjlk11BkBrxIR+SkLPtejsLB/c2WHRAghdZ4iy+w1a9ZUafvg4GAEBAQAAGbOnCnQsV3G29sbe/bsQUREBLZu3Yrly5dDXV1wLZudO3dyo7xk8fnnn9e6zu1rEZ+w8lQ4AOCbvs0wppP8R7ORmqWxsQ6WD2mBpSee4pdLL+Hh1AD25vKfopcQUjPU9Tp29+7dERAQgOzsbDx48ACdO3cWme7WrVvcYzc3N7nH4ePjAx8fHxQXF1cpn00XXyArvwgutsZYNIDqtTXJvN4OOP7wHWKSc7AnKAZf9rRXdkiEEEIIIaQO2HEjCnEpuWhoqIX5vWtXu2JtUKVpyUnNUtemXzHW1cC6EaXTk++4+RrPPqQrOSJCCCHKdOrUKe7x9OnTRaZRUVHB1KlTAQBpaWm4ceOGUJqsrCxuOldZ/nr16qWI3VGYx3FpmHcwDCUMGNupMRb0oQvo+mK8SxO4NzNDfhFNT04Iqd1GjhzJPd6zZ4/INCUlJdi3bx8AwMjICB4eHnKPQ17Tkm/6vA0muDbBHxM6QF2VmmFqEj1NNXw/0AkA8Me1V0jIzFNyRIQQQgghpLaLTsrGX7feACgdxKmrWS3jjOsVqlXVIfJcD6ymGNS6IQa3tkRRCcPi/56gsLhE2SERQghRksDAQACArq4uOnbsKDZdz549ucdBQUEKj6smeZucg5l7Q5BbWIwejub4aVTrOjldLRGNx+Ph59FtoK+phodv07A78I2yQyKEkEpxdXWFu7s7AGD37t24e/euUJrNmzcjIiICQOkSIuVnaqlJ9LXUseGzNrA0rBvrotc1n7VvhLZNjJBdUIxNF18qOxxCCCGEEFKLMcaw6nQ4CopL0NPRHANbWSo7pDpJptsFZsyYAaC0wWz37t1Cr1dG+bwIEWfN8Fa48zoZzz5kwPf2G3h5OCg7JEIIqbHqcpld1oDt4OAgdu1NAHBychLapj5IzS6A555gJGUVwLmhAXZMotFh9ZGVkTZWDG2B7/+PvTsPi7Le/z/+vId9X0RxxQ1IcE8xDfetxbWsbDGXzLJDJ79ly9HKk53M0zlpWT8qDROtTNM6mprlkgu4gruBIiAIorKI7PvM7w9izAQFZ+CeGd6P65rrGod7eXHONG/m/tyf9+eHU3y4LY6hnZrh20zWdRLC1FhyvYbKG9Li4+P1/87MzNQ/j4+PJzw8/Ibtp06detMxlixZQnBwMEVFRYwcOZK5c+cyZMgQioqKWLNmDcuWLQPA39+f2bNn18vvYay25MK0aTQK/xwTyMOf7Wf9kVSe7tuW7m3c1Y4lhBBCCCHM0M+nLhNxLhNbaw3zx3aWSSf1RNHpdLftV6jRaPT/B/z5S92fX68LnU6HoijyBbGe5Obm4ubmRk5ODq6urmrHMYr/HUvl5bUnsLXS8POs/nKRVghh8tT6LDanmp2UlET79u0BmDJlyk0Xuv+suLgYBwcHAEaNGsXmzZtveWxnZ2cKCgro27dvtbO9DBEWFqafRX7q1CmOHj1KcHAwvr6VN1/179+fZ599ttp9S0pKKCkp0f87NzeXNm3aGPw+KS6r4KmwQxxJzqaVuwP/+9u9NHOV2WGNlU6nY+qKKPbEZdC9jTs/zOyHtdzoIES1pF7Xj6lTp7Jy5cpab1/TZYlNmzYxadIkcnNzq/25v78/W7Zs0dfg+mKJ37HFzV5Ze5wfj12kp487P8y8F41GLkQKYUrks1jUhrxPhBBqyi8pZ/iiPVzOLWbWMD9eHuGvdqQG11Cfw7Waue3j41PtF+yaXhfC2Mb3aMWmE5f47Uw6r60/yfqZ92IlXzSFEOImllqz8/Ly9M+dnZ1vu72TkxMFBQXk5+cbPUtkZORNF+z37dt3Qwv0mga3Fy5cyPz5842ap0Kr4+W1xzmSnI2rvTXh04JkYLuRUxSFf0/oysiP9nIi5RpfRpznhcEd1Y4lhPgTS63XxjZmzBhOnjzJkiVL2LJlC6mpqdja2uLr68ujjz7Kiy++iKOjo9oxhYV444FO/PL7ZY5duMbGExd5qGdrtSMJIYQQQggzsmRHHJdzi/HxdJTrMPWsVjO3hXmx1DvULuUUMXLxXvJKynlrVADPDuigdiQhhKiRpX4WG1NdZm6npKTg4+MDwNNPP82qVatueWwfHx9SUlLo2LHjDW1R1VYfM7ff3RTDV/vOY2ulYdX0PvTt0MRYcYWZWxedwmvrT2JrpWHzS/3x95bON0L8ldRrURvyPmk8QnfF899fz+LtasdvswfjZFerOSFCiAYgn8XiVv68lEhcXJy8T4QQDe7s5Twe/CSCCq2OFdOCGHJXM7UjqaKh6rX0JxRmo4WbA2+OCgDgw21nScosUDmREEKIhmJvf30mcmlp6W23rxpArmplbirs7OxwdXW94WGIsIhEvtp3HoAPH+suA9viBo/0as3QTs0ordDy6roTlFdo1Y4khBBmJTQ0lMDAQIKCgtSOIhrI9P7t8fF05EpuCZ/tNp0bJIUQQtxaSEgIMTExREVFqR1FCNEI6XQ63t5wmgqtjvs6ezfage2GZNDg9qpVq1i1ahWHDh0yVh4hbmliUBuCfZtQXKblHz+eRKuVxgNCCFEb5l6zXVyuzzitTavxgoLKG6Bq08JcDca4WB6TlsuCn2MB+McDnRjbvaWx4gkLoSgKCx/uiqu9NSdTc1i6N1HtSEKI2zD3em1p5EJ542NvY6W/qf7LiPNcyCpUOZEQQgghhDB1Px69yOGkqzjYWDFvTGe14zQKBg1uT506lWnTppGcnGysPELckqIo/PvhbjjYWHEw8SqrD19QO5IQQpgFc6/Z9vb2NGlSOSs5NTX1lttmZ2frB7fbtGlT79nuhDEulge2dOXtUYFMvbcdzw+UpTpE9bxd7XlnbOUXq493xHHmcq7KiYQQt2Lu9VoISzAy0Jv+vl6UlmtZ8HOM2nGEEEIIIYQJyyksY+HWysknLw3zo5W7aXWRtFQGDW67ubkB4OfnZ5QwQtRGG09H3rj/LgAW/hzLxWtFKicSQgjTZwk1OzAwEID4+HjKy8tr3O7MmTP65wEBAfWeS03P9G/PO2M7oyiK2lGECXuoZyuGB3hTVqHj1XUnKJP25EKYLEuo10KYO0VRmDcmECuNwq+/X2FffKbakYQQQgghhIn6cNtZMvNL8W3mzPT+7dWO02gYNLjdvn3l/1HZ2dlGCSMM05jWA5vcrx2923pQUFrBnB9PodNJe3IhhLgVS6jZ/fv3Bypbjh85cqTG7fbs2aN/HhwcXO+57kRjqtlCfYqi8P5DXXBzsOH0xVw+352gdiQhRA0soV4LYQn8vV14um9bAOZv+p1yuTFMCCGEEEL8xanUHL45VNl161/jumBrbdCQq6gDg/6Xfuihh9DpdGzatMlYeYQBGtN6YBqNwn8e6YadtYa9cRn8cPSi2pGEEMKkWULNHj9+vP75ihUrqt1Gq9WyatUqANzd3RkyZEhDRKuzxlSzhWlo5mrPu+Mq25N/+ts5YtKkPbkQpsgS6rUlkZvRGrf/G+6Hh6MNcVfy+faQLIkmhBBCCCGuq9DqeGvDKXQ6GNejJf06NlE7UqNi0OD2rFmzaNu2LZ9//jk7d+40ViYhaqVDU2deHuEPwLubfic9t1jlREIIYbosoWb36dOHAQMGALB8+XIOHDhw0zaLFi0iNrZynZtZs2ZhY2PToBmFMGVju7dkZOD19uSl5TILTQhTYwn12pLIzWiNm7ujLa+MrFwSbfH2OLILSlVOJIQQQgghTMWaqAucSM3Bxc6aNx+07GURTZFBg9uurq5s376dTp06cf/99/Pcc8+xe/durl69Km2iRYN4tn97urV2I7e4nDc3nJb3nRBC1MAUanZkZCTh4eH6x/r16/U/i4+Pv+Fn4eHh1R5jyZIlODg4UF5ezsiRI1m4cCEHDx5k165dPP/887z++usA+Pv7M3v27Ib4tYQwG4qisOChrng42hBzKZfQXfFqRxJC/IUp1GshxHVPBLWhU3MXcorKWLw9Tu04QgghhBDCBGTll/CfX84C8MpIf5q52qucqPFRdAZ8Q7aystI/1+l0KIpS+xMrCuXl5Xd6anELubm5uLm5kZOTg6urq9px6t2Zy7mM+TSSsgodnz7RkzHdW6odSQghTO6z2BRq9tSpU1m5cmWtt6/pT5RNmzYxadIkcnOrb6vs7+/Pli1b8PX1vaOcDSE0NJTQ0FAqKiqIi4szmfeJaBw2nUjj798dw1qjsCEkmC6t3NSOJIRqpF6L2jC194loWPsTMnnyy0NoFPh51gA6NZf3gBBqkM9icSvyHVsI0ZBeW3eCdUdSCWzhyk8vBmNtJWttV2moem3Q/+I6nU7/+Ou/a/MQN4qKiuLBBx/E3d0dJycn+vbty/fff692LJPXqbkrLw7xA+Cdn34nK79E5URCCGF6LKlmjxkzhpMnT/Lyyy/j7++Po6Mj7u7u9O7dmw8++IBjx46Z9MA2SJtToa7R3VrwQJfmlGulPbkQpsaS6rUQluLejl480KU5Wh3M/ylG/lsTQggTJN+xhRANJTrpKuuOpALwr/FdZGBbJdaG7PzPf/7TWDkavV27dnHfffdhb2/P448/jouLCz/88AMTJ04kJSVFWqvexguDO7L19CXOXM5jwZZYFk/soXYkIYQwKaZQs2/Vbryu2rZty+LFi1m8eLFRjidEY6IoCv8a34VD569y5nIe/++3c/o1RYUQ6jKFei2EuNncBwPYeSadA4lZ/Pr7Ze7v0kLtSEIIIYQQooGVV2h5a8NpAB4PakOvth4qJ2q8DGpLLoyjvLycTp06kZqaysGDB+nRowcAOTk59OnTh6SkJOLi4mjbtm2tjtdY2/ScSLnG+M/2odPB98/3o097T7UjCSEascb6WSzqRt4nQk1bTl4iZPVRrDQKG/4WTNfW0p5cND7yOSxuRVqcij9btO0sn/4WT2sPB3a8Mgh7G6vb7ySEMBqp2aI25H0ihKhPYRGJvLclFndHG36bPRhPJ1u1I5kcs2hLLozjt99+IyEhgSeffFI/sA3g5ubG3LlzKS0trdMapY1V9zbuPNHHB4C3N5ymrEJabAohhBBC1GRUtxaM6taCCq2O2euOU1JeoXYkIYQwKdLiVPzZC4M70tzVntTsIsIiEtWOI4QQQgghGtCV3GI+3nEOgH/c30kGtlXW6Ae309PT2bx5M/PmzeOBBx7Ay8sLRVFQFIWpU6fW6VjJycnMnj2bTp064eTkhKenJ0FBQfz3v/+lsLCwxv12794NwMiRI2/62X333QfAnj176pSlsXpt5F14ONpw9koeqw4kqx1HCCGEqFZoaCiBgYEEBQWpHUU0cv8a1wUvZ1viruTzyc5zascRQgghTJajrTVzHuwEQOiuBC7lFKmcSAghhBBCNJT3tsSSX1JOTx93HuvdRu04jZ5Ba27/VUJCAgcOHODy5csUFhbyt7/9DS8vL2Oewui8vb2NcpxNmzYxadIkcnNz9a8VFhYSHR1NdHQ0YWFhbNmyBV9f35v2PXeu8kKin5/fTT9r3rw5zs7O+m3ErXk42fKPBzrxxg+n+Gh7HKO7tcDb1V7tWEIIYXLMsWZbkpCQEEJCQvSteoRQi6eTLe+N78LMb47y+e4ERgY2p3sbd7VjCSH+IPVaCNMytntLvj6QTHRyNh9sPcPHj/dUO5IQQgghhKhn++Iz2XQiDY1SOUlAo1HUjtToGWXm9tGjRxk4cCD+/v5MmTKFN954g/nz55Oenn7DdqGhoTRr1gw/Pz/KysqMcWqj8vHxqXb29O0cO3aMiRMnkpubi7OzMwsWLGD//v3s3LmTGTNmABAXF8eoUaPIy8u7af+cnByAGi9uu7q66rcRt/dorzb0aONOfkk57/8cq3YcIYQwKZZSs4UQxnN/lxaM7d4SrQ5eXXeC4jJpTy6E2qReC2GaFEXhn2M6oyiw4XgaR5Kvqh1JCCGEEELUo5LyCt7eeBqAyf3a0aWVTFIxBQYPbm/evJng4GD27duHTqfTP6ozefJkioqKSExMZPPmzYae2ijmzZvHpk2buHz5MsnJySxdurTOx5g1axZFRUVYW1uzbds25s6dS79+/Rg6dCjLli3jP//5D1A5wL1o0SJj/wriLzQahffGd0GjwMbjaRxIyFI7khBCmARzr9lCiPozf2xnvJztOJeer19DSgihDqnXQpi2rq3deKxXZSvKd36KQaut/r9PIYQQQghh/sIizpOYUYCXsx2vjPRXO474g0GD25cuXeKJJ56gpKSEwMBAtm7dWu3M5CouLi6MHTsWgK1btxpyaqOZP38+o0ePvuP25IcPHyYiIgKA6dOn069fv5u2mT17NgEBAQAsWbLkpjvqq2Zs1zQ7W1qW1l2XVm5M6tsWgHkbT1NWoVU5kRBCqMsSarYQov54ONny/kNdAFi2N4GjF7JVTiRE4yT1Wgjz8Op9d+FiZ82pizmsP5KqdhwhhBBCCFEPUq4W8ulvlRMA3hoVgKu9jcqJRBWDBrc/+ugjCgoKaNu2LREREdx33304OTndcp/Bgwej0+k4cuSIIac2GRs2bNA/nzZtWrXbaDQaJk+eDMC1a9fYtWvXDT+vWmu7unW1L1++TH5+frXrcYtbmz3iLpo42XIuPZ8V+86rHUcIIVQlNdu0hIaGEhgYSFBQkNpRhNAb2bk5D/VshVYHr0l7ciFUIfXatEi9FjVp6mLHS8Mqr9P859cz5BXLsgBCCCGEEJZm/qYYisu09O3gybgeLdWOI/7EoMHtX375BUVRmD17Nu7u7rXap1OnTgCcP28Zg42RkZEAODk50atXrxq3GzRokP75vn37qv3Ztm3bbtrv119/vWl/UTtujjb844HK99vHO85xKadI5URCCKEeqdmmJSQkhJiYGKKiotSOIsQN/jkmkKYudiRkFLB4e5zacYRodKRemxap1+JWptzbjg5eTmTml/L/fotXO44QQgghhDCiHTFX2BF7BWuNwr/GdUFRFLUjiT8xaHA7OTkZgD59+tR6H1dXVwDy8/MNObXJiI2NBcDX1xdra+sat6u64PDnfaoMGzaMDh06sHr1ao4fP65/PScnh/fffx9bW1v9zG9RNxPubk3vth4Ullbw3pbY2+8ghBAWSmq2EKI23B1tWfhQVwC+jEjkSPJVlRMJ0bhIvRbCfNhaa3h7dCAAX+07T2KG/DcohBBCCGEJikoreGfT7wBMH9AeP28XlROJvzJocLu8vBwArbb26xlXrSvt7OxsyKlNQnFxMZmZmQC0bt36ltt6eHjo28mlpKTc8DNra2vCwsLQarUMHDiQ5557jtmzZ9O9e3fi4uJ4//33adeuXY3HLikpITc394aHqKTRKLw7rgsaBbacvETkuUy1IwkhhCoae80WQtTe8EBvHr67FTodvLruJEWl0p5ciIYi9VoI8zKkUzMG39WUsgodC+SGeiGEUI0sJSKEMKbPdseTml1ESzd7XhoqSwabIoMGt5s3bw5AYmJirfc5fPgwAD4+Poac2iTk5eXpn9fmQkLV4HZ1d9QPGTKEyMhIgoODWbt2LZ9//jne3t6sWbOG2bNn3/K4CxcuxM3NTf9o06ZNHX8TyxbY0pXJ/doBMO+n05SW1/5CkRBCWIrGXrOFEHXzz9Gd8Xa143xmAR9uO6t2HCEaDanXQpift0cHYq1R2HkmXTqeCCEMdu7cOd5++22GDx9Oly5d6NixI/HxNy59cPr0aX7++Wf27NmjUkrTI0uJCCGMJTEjn6V7Kr+PzRsTiJNdzR2bhXoMGtweMGAAOp2OdevW1Wr70tJSli5diqIoDB482JBTm4Ti4mL9c1tb29tub2dnB0BRUfVrP/fp04etW7eSk5NDYWEhhw4dYuLEibc97pw5c8jJydE//jozXMArI/3xcrYjMaOAsMjaXygSQghL0dhrthCibtwcbfj3w92AylarUUlysV6IhiD1Wgjz07GpM2O6twRg66nLKqcRQpgrrVbLq6++SmBgIO+//z6//fYbMTExJCUlUVpaesO2Fy5cYPTo0YwYMYKLFy+qlFgIISyPTqfjnz/9TmmFlsF3NeW+zs3VjiRqYNDg9tSpUwH46aef2L59+y23LS0tZfLkySQkJKAoCjNmzDDk1CbB3t5e//yvf2RUp6SkBAAHBwej5rCzs8PV1ZWvv/6avn37MmzYMKMe3xK42tvw5qjKdc8/3RnPxWvV32AghBCWqrHXbCFE3Q3p1IxHe7VGp4PX1p2Q9uRCNACp10KYp5GB3gBsj72CTqdTOY0Qwhw9//zzfPTRR1RUVNCyZUseeeSRGrd98MEHad++PRUVFaxfv74BUwohhGX7+dRlIs5lYmutYf7YziiKonYkUQODBrcHDx7MxIkT0el0jBkzhjfeeEPfEg0gKSmJ/fv389///pfOnTuzbt06FEVh5syZdO7c2eDwanNxub6IfHWtxv+qoKAAqL+10KT9yq2N79GKPu09KSqr4L3NMWrHEUKIBtXYa7apkfXAhLl4a3QgLdzsScoq5D+/nlE7jhAWT+q1EOZpoH9TbK00JGcVkpBx++tDQgjxZzt37mT58uUAzJ07l6SkJL7//vtb7vPoo4+i0+n47bffGiKiEEJYvPySct7d/DsALwzqSNsmTionErei6Ay8pbSkpIQJEybw888/3/IuhqrTPPzww6xduxYrKytDTltvkpKSaN++PQBTpkwhPDz8ltt7eXmRlZVF9+7dOX78eI3bZWdn4+npCVT+8XG7P1AMkZubi5ubGzk5Obi6utbbeczR2ct5PPhJBBVaHSuf6cMg/6ZqRxJCWChT/Cy2tJptCUzxfSLEX+2Jy2DKV5WDa2ue60vfDk1UTiSE8Zji57DUa9Njiu8TYXqmrjjM7rMZvH7/XfxtsK/acYSwOJb8WTxx4kTWrVvHqFGj2LRpk/51jUaDoiicOnWKwMDAG/b58ccfeeSRR+jQocNNa3I3Zpb8PhFC1K8FW2L4MuI8bZs48uv/DcTeRr5f3YmG+hw2aOY2VLbE3rx5M0uXLqVDhw7odLpqH61bt+azzz5j/fr1FvWlu+oPi/j4eMrLy2vc7syZ6zNdAgIC6iWLzAK7vbuauzDt3nYA/HPjaUrKpb2mEKLxaOw1WwhxZwb5N+XxoDYAvL7+JIWlNf/NK4QwnNRrIczT8IDK1uQ7Yq6onEQIYW4OHDiAoihMnz691vu0bt0agMuXL9dXLCGEaDTOXM7lq31JALwztrMMbJsBa2MdaMaMGcyYMYOYmBiio6NJT0+noqKCJk2a0LNnT+6++26L7E/fv39/IiIiKCgo4MiRI9xzzz3Vbrdnzx798+Dg4HrJEhISQkhIiP7OCFG9WcP9+OlEGklZhXy5N5EXh/qpHUkIIRpUY63ZQog79+aoAPbGZXDhaiEfbD3D/HFd1I4khMWTei2EeRke4M1bG05zLOUaGXklNHWxUzuSEMJMpKenA9CuXbta72NjYwNwy8lWQgghbk+n0/H2htNUaHXc37k5Q+5qpnYkUQtGG9yuEhgYeFObFEs2fvx4Fi5cCMCKFSuqHdzWarWsWrUKAHd3d4YMGdKgGcWNXOxteGt0IC99d4z/tyuecT1a0cbTUe1YQgjR4BpbzRZC3DkXexs+eKQbTy8/zMoDydzXpTn3dvRSO5YQjYLUa/WEhoYSGhpKRYV0/BK319zNnm6t3TiZmsOuM+k89kfXEyGEuB0nJyeuXbtGRkZGrfdJTU0F0C+DKYQQ4s78cPQiUUnZONhYMW+MfO8yFwa1JV+1ahWrVq0iNze31vvk5+fr97MEffr0YcCAAQAsX76cAwcO3LTNokWLiI2NBWDWrFn6O+uEesZ0a0G/Dk0oLtPy7uYYteMIIUS9k5othDDUAL+mPHmPD1DZnrygRGaJCGFsUq9NS0hICDExMURFRakdRZiJqtbk26Q1uRCiDjp06ABATEztr1Fu3boVgM6dO9dLJiGEaAxyCstY+PMfY3fD/Wjp7qByIlFbik6n093pzhqNBkVROHXqVK3vJE9ISMDPzw+NRmMSbVMiIyOJj4/X/zszM5PXXnsNqGwf/uyzz96w/dSpU286xrFjxwgODqaoqAhnZ2fmzp3LkCFDKCoqYs2aNSxbtgwAf39/oqOjcXFxqZff5c93lcfFxdX7gu3m7tyVPB5YEkG5VsdXU3sztJO32pGEEBakaokIU/kstoSabYlM7X0ixO3kl5Rz30d7uXitiEl9fXhvfFe1IwlhEFP7HJZ6bZpM7X0iTFdMWi4PfhKBvY2GY2+PxMFW1msUwlgs+bP4zTffZOHChfj6+nLmzBk0msr5aDX9XRATE0Pv3r0pKSnhww8/5OWXX1YrusEuXrzIunXr+Pnnnzlz5gyXL1/G09OT4OBgXn/99RqXAK2JJb9PhBDG9/aG03x9MBnfZs78/NIAbK0Nmg8saLjPYaO3Ja8tA8bUjSosLIyVK1dW+7N9+/axb9++G16rbnC7Z8+erF27lkmTJpGbm8vcuXNv2sbf358tW7bU28A2yJrbdeXn7cL0Ae1ZuieRd36K4d6OXtjbyBdPIYT4K1Op2UII9TnbWfOfR7rxVNghvjl4gQe6tCDYV9qTC2EKpF4Lob6AFi60cnfg4rUi9sVnMjxQbqIXQtzeSy+9xCeffEJCQgIzZ87ks88+w9q6+sv227dvZ9q0aRQXF9OkSRNmzJjRwGmN69NPP+WDDz6gY8eOjBw5kqZNm3Lu3Dk2bNjAhg0bWL16NRMnTlQ7phDCAp1MvcY3h5IB+Ne4LjKwbWYa/P+tqrWqairQ5mrMmDGcPHmSl19+GX9/fxwdHXF3d6d379588MEHHDt2DF9fX7Vjir94aagfzV3tuXC1kC/2JKgdRwghTIql1mxTEBoaSmBgIEFBQWpHEaLOgn29mNT3envyvOIylRMJ0bhJvRbCdCiKwog/BrS3S2tyIUQteXt788UXXwCVy1527NiRv/3tb/qfL1myhOeee47OnTtz//33k5aWhkajITw8HGdnZ7ViG0WfPn3YvXs38fHxhIWFsXDhQtavX8+uXbuwsrLihRdeoKSkRO2YQggLU6HV8faG0+h0ML5HS/p1bKJ2JFFHDT64ffbsWQA8PT0b+tTVCg8PR6fT1fpxK23btmXx4sWcPXuWgoICsrOziYqK4vXXX8fR0bGBfiNRF0521rw9urKtz2e7E0jOKlA5kRBCmA5Tq9mWRNbwFOZuzgMBtPaonJn2/s9n1I4jRKMm9bpmUVFRPPjgg7i7u+Pk5ETfvn35/vvv1Y4lLFzVuts7z1xBq5WOCkKI2nnqqaf47rvvcHV1JSUlhaVLl6IoClDZeXT58uXExsai0+lwdnZm3bp1jBo1SuXUhnv44YcZNGjQTa8PGDCAIUOGkJ2dzalTp1RIJoSwZN8dvsCJ1Bxc7KyZOypA7TjiDtTp1u69e/dW+3pUVBSZmZm33LekpISEhAQ+/PBDFEWhR48edTm1qIU/r7ktau/Brs0Z4OdFxLlM3vnpd76aGqT/41EIIcyV1GwhRH1ysrPmv49054kvD7Im6gJ/H+pLS3cHtWMJYXakXtefXbt2cd9992Fvb8/jjz+Oi4sLP/zwAxMnTiQlJYXZs2erHVFYqD7tPXGxsyYzv5Tjqde428dD7UhCCDPx2GOPMWzYMD777DM2bdrE8ePHKS8v1/+8c+fOjB07llmzZtGsWTODz5eens7hw4c5fPgwUVFRREVFkZWVBcCUKVMIDw+v9bGSk5P55JNP2LJlCykpKdjZ2dGxY0cee+wxQkJC7mjil42NDSDdaYQQxpWZX8J/f628QXj2SH+audirnEjcCUVXh4W5NBrNDYN+VbvWZSBQp9OhKAo//PAD48ePr31SUWsNtWC7JUnIyOf+j/dSVqHjy8m99W3EhBDiTqn9WSw12zyo/T4RwlCPfXGAw0lXmftgJ54b2FHtOELUmdqfw1Kv60d5eTmdOnUiNTWVgwcP6gf+c3Jy6NOnD0lJScTFxdG2bdtaHU/t94kwP3//7hibTqTxt8Edef3+TmrHEcIiNMbPYq1Wy9WrV6moqMDT01M/2Gsst/p7oy6D25s2bWLSpEnk5uZW+3N/f3+2bNlSpyU7L1y4gL+/P56enqSkpGBlZVWr/Rrj+0QIUTevrjvB+iOpBLZw5acXg7G2krW2jamhPofr/P9adS2669LWu3Xr1oSGhsqXbmFSOjZ1ZsaADgC889PvFJXK7HchhPmTmi2EqG9je7QEYOPxNJWTCGG+pF4b32+//UZCQgJPPvnkDTPa3dzcmDt3LqWlpaxcuVK9gMLiDQ+onFEp624LIQyh0Wjw8vLC29vb6APbf+Xj48PIkSPrvN+xY8eYOHEiubm5ODs7s2DBAvbv38/OnTuZMWMGAHFxcYwaNYq8vLxaHbOsrIynn36akpISPvjgg1oPbAshxO1EJV1l/ZFUAN57qIsMbJuxOvX02LVrl/65Tqdj6NChKIrC8uXLad++fY37KYqCvb09LVq0oE2bNneeVoh69OJQXzYeT+PitSI+2x3P7JF3qR1JCCHumNRsIURDGNW1Be/89Du/p+USn56HbzMXtSMJYVYssV6bQovT3bt3A1R7kf6+++4DYM+ePXX7xYSog8H+zbDWKJxLzycps4B2Xk5qRxJCiJvMmzePoKAggoKC8Pb2Jikp6ZZ/f1Rn1qxZFBUVYW1tzbZt2+jXr5/+Z0OHDsXPz4/XX3+duLg4Fi1axDvvvHPL42m1WqZOncrevXuZMWMGTz/99J38akIIcZPyCi1vbzgNwONBbWTpGDNXp8HtQYMGVft6nz59CAwMNEogcedkzW3DONpa8/boQGZ+c4SlexJ5+O7WtJcvoDXan5DJ0j2JvHbfXXRp5aZ2HCHEX0jNFkI0BA8nWwb5N2XnmXQ2Hk+TmwOFqCNLrNfe3sZZ4qm6FqeFhYVER0cTHR1NWFhYjS1Oz507B4Cfn99NP2vevDnOzs76bYSoD26ONvRp78n+hCx2xF7h2T86xQkhhCmZP3++QfsfPnyYiIgIAKZPn37DwHaV2bNns2LFCmJjY1myZAlvvvlmjbPQtVotzzzzDKtXr2bSpEl88cUXBuUTQog/C9+fxJnLeXg42vCGLBtj9gyac3/+/HkSExPx9/c3Vh5hgJCQEGJiYoiKilI7itm6r7M3g/ybUlqh5Z8//X5Da0Bx3b74TKatiGJPXAbvbo5RO44QohakZgsh6sufW5PL305CGMbS6rVaLU5zcnKAyjbk1XF1ddVvI0R9GRFYeaOHtCYXQtxOhw4d7vjRsWNH1XJv2LBB/3zatGnVbqPRaJg8eTIA165du6FrzZ9ptVqmTZvGypUreeKJJwgPD0ejkXbBQgjjuJxTzEfb4wB44/5OeDjZqpxIGKpOM7f/qm3btsbKIYRJUBSF+WM7M/KjveyNy+DX3y9zf5cWascyKQcSspi+MoqSci0Ah89f5UjyVXq19VQ5mRDiVqRmCyHqy4hAbxxtrbhwtZDjKdfoKa29hLhjllCvTbHFqRBqGB7gzfxNMUQnZ5NdUCoXUYUQNUpKSqr1toqi3HBDqaIo9ZCodiIjIwFwcnKiV69eNW735041+/btu+nGt6qB7VWrVjFx4kS+/vprWWdbCGFU722JoaC0gp4+7jzW27SWdRJ3xqDBbSEsUTsvJ2YO6sAnv8Xz7qYYBvo3xdFW/lOByoHsZ8KjKC7TMuSupng42vLjsYt8vjuRsCkyuC2EEEI0Ro621owM9GbD8TQ2Hk+TwW0hGjlTaHFaNWO7ptnZubm5eHjIZ5WoX208HenU3IUzl/PYHZfOQz1bqx1JCGGipkyZctttCgoKiIuL4+TJkyiKQs+ePenatWsDpKtZbGwsAL6+vlhb13zttFOn6+1/q/apUtWKfNWqVTz66KN88803MrAthDCqyHOZbD55CY0C743vgkaj3k1BwnhqNWL37rvv6p/Pmzev2tfvxJ+PJYQpeWGwLz8eu0hqdhGf/hYvazAA0UlXmbriMEVlFQz0b8rnk3px8VoR/zt+kR2xV4i7koe/t4vaMYVo9KRmCyHUMK5HKzYcT2PzyTTeGhWAtZW0EBTiVqRe16wuLU7nzJmjb3H651lgVWttnzt37qaZZJcvXyY/P58+ffoYP7wQfzE8wJszl/PYESOD20KImq1YsaLW2/7+++9Mnz6dU6dOMXfuXB5++OF6TFaz4uJiMjMzAWjd+tafbx4eHjg5OVFQUEBKSsoNP3v33XdZuXIlzs7O+Pv789577920//jx4+nRo0e1xy4pKaGkpET/79zc3Dr+JkIIS1ZSXsG8jacBmNyvHZ1bVr9skTA/tRrcfuedd/QtTv78ZfnPr98JS/jiLSyTg60V74zpzLOrogmLSGTC3a3xbeasdizVHL2QzdQVURSWVtDf14tlT/fC3saKjk2duS+wOb/8fpkv9iSw+LEeakcVotGTmi2EUEN/Py88nWzJzC9lf0IWA/2bqh1JCJMm9bpmxmhxOmjQIBYuXMi2bdt4/PHHb9jv119/vWl/IerLiEBv/t+ueHafTaekvAI7a5mNKIQwTOfOndmxYwc9e/Zk8uTJBAYG3jAzuqHk5eXpnzs73/6aadXgdn5+/g2vV7Vkz8/PZ8GCBdXu265duxoHtxcuXGhw1xghhOUKizhPYmYBTV3seGWkv9pxhBHVekqFTqe7YT2Pv75+Jw9hXKGhoQQGBhIUFKR2FIswPNCbYZ2aUVah452ffm+079kTKdeYsvww+SXl9OvQhC8n98be5voX8pmDOwLw0/E0UrML1YophPgTqdlCiIZmY6VhVNcWAGw4flHlNEKYB6nX1TNGi9Nhw4bRoUMHVq9ezfHjx/Wv5+Tk8P7772Nra8vkyZONG1yIanRt5UYzFzsKSis4mHhV7ThCCAvh7OzMK6+8QmFhIf/9739VyVBcXKx/bmtre9vt7ezsACgqKrrh9fDw8Nv+fTN16tQajztnzhxycnL0j7/ODBdCNF4pVwv59LdzALz5YACu9ja32UOYk1oNbmu1Wv2jptfv5CGMKyQkhJiYGKKiotSOYjH+OaYzttYaIuMz2XLqktpxGtyp1ByeXn6IvJJy+rT3ZPnU3jjY3nineY827tzbsQnlWh1hEedVSiqEqCI12zzIDWnCEo3r0RKAX09fprisQuU0Qpg2qdfVu5MWp8BNF7Ktra0JCwtDq9UycOBAnnvuOWbPnk337t2Ji4vj/fffp127djUeu6SkhNzc3BseQtwJjUZhWIA3ADtirqicRghhSXr37g3Azp07VTm/vb29/nlpaeltt69qHe7g4GDUHHZ2dri6ut7wEEIIgPmbYigu09K3g6f+eoWwHLIYnhC34NPEkb/9MTP5X5tjyC8pVzlRw/k9LYdJyw+RW1xO77YerJgahKNt9TMnXvjjf6M1URe4WnD7P2iFEKKxkxvShCW628eDVu4OFJRWsDM2Xe04QggzdCctToGbWpwCDBkyhMjISIKDg1m7di2ff/453t7erFmzhtmzZ9/yuAsXLsTNzU3/aNOmTR1/EyGuGxn4x+B27BWL6bAghFBf1efJlSvq3Djj4uKif15dHf6rgoICoHb1XQghDLUj5go7Yq9grVH417guBi39JEyTQYPbe/fuZe/evZw7d85YeYQwOTMHdcTH05EruSV8urNxvNdjL+UyKewQOUVl3O3jTvgzfXCyq7klYH9fL7q0cqW4TMvK/UkNF1QIUWtSs4UQ9U2jUfR3Q0trciHuTGOv18ZqcVqlT58+bN26lZycHAoLCzl06BATJ0687XGlxakwpn4dm+BgY8WlnGJ+T5MuAEII4/j1118BcHNzU+X89vb2NGnSBIDU1NRbbpudna0f3K6vG8akO5oQokpRaQXvbPodgGcHdMDP2+U2ewhzZNDg9uDBgxkyZAj79u0zVh4hTI69jRXvjA0EYHnkeeKu5N1mD/N29nIeT4UdIruwjO5tKge2nW8xsA2gKAovDPIFYOWBJAoa0Qx3IcyF1GwhREMY16MVALvPppNTWKZyGiHMT2Ov16bW4vTrr7+mb9++DBs2zKjHF42LvY0VA/29ANgurcmFEEawZs0aFi5ciKIo9O/fX7UcgYGV10vj4+MpL6/5WuCZM2f0zwMCAuoli3RHE0JU+Wx3PKnZRbR0s+elYb5qxxH15NYjVrfh7OxMQUEBXbt2NVYeIUzS0E7ejAj0ZnvMFeZtPM13M/paZCuL+PQ8ngo7yNWCUrq2cmPVM31wtbep1b73d2lOuyaOJGUVsiYqhen929dzWiFEXUjNFkI0hLuau9CpuQtnLuex9fQlHu/jo3YkIcxKY6/XptbiNCQkhJCQEHJzc1WbGScsw/AAb379vbI95ssj/NWOI4QwMc8888xtt9FqtWRnZ3P06FHS0tLQ6XRYW1vzj3/8owESVq9///5ERERQUFDAkSNHuOeee6rdbs+ePfrnwcHBDRVPCNEIJWbks3RPIgDzxnSucZlVYf4M+n/Wx8eH2NhYCgsLjZVHCJM1b3QgEecyOJh4lZ9OpOlnJlmKhIx8nvjyEJn5pXRu6crX0/vg5lC7gW0AK43C84M6MufHU4RFJPJ037bYWhvUHEIIYURSs4UQDWVsj5ac+eUsG4+nyeC2EHXU2Ot1VYvTrKwsk2hxKoSxDO3UDI0Cv6flcvFaEa3cjdttQAhh3sLDw2s9iaZqrW1XV1fCwsLo3bt3fUa7pfHjx7Nw4UIAVqxYUe3gtlarZdWqVQC4u7szZMiQBs0ohGhc/r31DKUVWgbf1ZT7OnurHUfUI4NGnkaNGgXAjh07jBJGGEbWFqlfbTwdeXFIZRuLBVtiySu2nFab5zMLeGLZQTLySujU3IVvpt+Du+Pt17j7q4d6tqKpix2XcorZKGttCmFSpGYLIRrK2O6V624fPJ/F5Zzi22wthPgzqdem1eJUvmMLY2nibEevth4A7IyV1uRCiBv5+Pjc9tGuXTu6du3KuHHjWLx4MfHx8TzyyCOq5u7Tpw8DBgwAYPny5Rw4cOCmbRYtWkRsbCwAs2bNwsam9hNp6kJqthDi9MUctsVcQVHgrVEBFtl5V1yn6Kpu97oDly9fpmvXrpSWlrJv3z66dOlizGziDlW1TMvJycHV1VXtOBalpLyC+z+O4HxmAdP7t+ft0YFqRzJYclYBE5ce5HJuMXd5u7B6xj00cba74+N9sSeBf289Q8emTmx/eRAajRQR0TiZ2mex1GzjuHjxIuvWrePnn3/mzJkzXL58GU9PT4KDg3n99ddrbMNWE1N7nwhhLI9+sZ+opGzefDCAGQM7qB1HiBqZ2uewJdbrpKQk2revXLJoypQphIeH33L7uXPn6meBHTx4sMba+u9//5s5c+YA8OuvvzJy5Ejjhf4LU3ufCPO0dE8CC7eeYYCfF19Pr9vfjEII+SyuD5GRkcTHx+v/nZmZyWuvvQZUtg9/9tlnb9h+6tSpNx3j2LFjBAcHU1RUhLOzM3PnzmXIkCEUFRWxZs0ali1bBoC/vz/R0dE3LEFSH+R9IkTj9ezKaHbEXmFcj5Ysebyn2nEarYb6HDZo5nbz5s3ZvHkzLi4uBAcH8/7775OUlGSkaEKYHjtrK94Z2xmA8P1JnLmcq3Iiw6RcLeSJZZUD237NnPnWwIFtgKfu8cHF3pqEjAK2yx3pQpgMqdnG8emnn/Lyyy+TmJjIyJEjmT17Nv3792fjxo3ce++9rF27Vu2IQpiEsX8s37LxhHRyEaIupF5XtjitsmLFimq3kRanwhwND6xsjXkwMcuiOsEJIcxXWFgY06ZN0z+qBrYB9u3bd8PPpk2bVu0xevbsydq1a3F1dSU/P5+5c+fSr18/hg4desPA9pYtW+p9YFsI0XidTL3GjtgraBR4aZif2nFEAzBoze0OHSpnYZSWlpKXl8fbb7/N22+/jbOzM+7u7lhZWdW4r6IoJCQkGHJ6IVQxyL8pD3RpztbTl5m34XfWPt/XLFtcpGYX8sSXB0nLKaZDUye+nXEPXgYObAO42NvwdN+2fLY7gc93JzAy0Nss//cRwtJIzTaOPn36sHv3bgYNGnTD6xEREQwbNowXXniB8ePHY2dn+OepEOZsVNcWzP/pd05fzCU+PR/fZs5qRxLCLEi9vt7iNCIiguXLlzNlyhT69et3wzYN1eJUCGPq2NSZDk2dSMwoYE9cBqO7tVQ7khBCGMWYMWM4efIkS5YsYcuWLaSmpmJra4uvry+PPvooL774Io6OjmrHFEJYsI93nANgXI9WdGwq1x8aA4Pakms0dz7xW1EUKioq7nh/UTNpv1L/0q4VMWzRHorKKlj8WHcevru12pHqJO1aEY8vO8iFq4W093JizXN98Xa1N9rxM/JKCP7gN0rLtax5ri99OzQx2rGFMBem9lksNbv+3XfffWzbto2oqCh69+5dq31M7X0ihDE9Ex7Fb2fSeWmoL6+MvEvtOEJUy9Q+hy2hXltSi9PQ0FBCQ0OpqKggLi7OZN4nwnwt/DmWpXsTGd+jJR9Lu0wh6sTUarYwLVKzhWi8jqdcY3zoPjQK7HhlEB1kcFtVDVWvDZq5PWXKFGPlEMKstHR34KVhfnzwyxne/zmWYQHeuDmYx2yByznFPPll5cB22yaOfDfDuAPbAE1d7Hisd2u+OXiBz3cnyOC2ECbAFGp2eno6hw8f5vDhw0RFRREVFUVWVhZQuzU4/yw5OZlPPvmELVu2kJKSgp2dHR07duSxxx4jJCRElbvCq2aNWVsb9OeVEBZjXI+W/HYmnY0n0nh5hL90chGiFkyhXhsqLCyMlStXVvuzffv2sW/fvhteq25wu6rF6aRJk8jNzWXu3Lk3bdMQLU5DQkIICQnRX6ARwlDDA71ZujeR386kU1ahxcbKoNUChRBm5sKFC/VyXB8fn3o5rjmRmi1E4/XxjjgAHurZWga2GxGDrr7WtP6VEI3B9P7tWXckhcSMAj7aHqdfi9uUpedWDmwnZRXSxtOB72b0pbmbcQe2qzw3oCOrD11gT1wGv6fl0Lml/GEphJpMoWZ7e3sb5TibNm3SX+yuUlhYSHR0NNHR0YSFhbFlyxZ8fX2Ncr7auHDhAjt27KBFixZ07dq1wc4rhCkbEeiNg40VyVmFHE+5Rk8fD7UjCWHyTKFemwppcSos0d0+Hng62XK1oJTopGz6dZQbwYVoTNq3b2/0YyqKQnl5udGPK4QQ5uDohWx2n83ASqPw0rCGuw4o1Ce3iApxh2ytNfxrXBcAVh1I4ve0HJUT3VpGXglPfHmQxMwCWrlXDmy3dHeot/P5NHHUryH2xZ7EejuPEMI8+fj4MHLkyDrvd+zYMSZOnEhubi7Ozs4sWLCA/fv3s3PnTmbMmAFAXFwco0aNIi8vz9ixq1VWVsbTTz9NSUkJH3zwwS3XQxWiMXG0tWZk58qbWjYeT1M5jRCioYSHh6PT6Wr9uJW2bduyePFizp49S0FBAdnZ2URFRfH666/LwLYwS1YahaGdmgGwPeaKymmEEA2tLvXRWLVUCCEsWdVa2w/3bEXbJk4qpxENSfpmCmGAYF8vRndrweaTl5i38XfWPd8Pjcb0Wm5m5pfw5JcHScgooKWbPd/N6Etrj/q/GPT8oA78dCKNLSfTeHWkvxQYIRq5efPmERQURFBQEN7e3iQlJdX5zvVZs2ZRVFSEtbU127Zto1+/fvqfDR06FD8/P15//XXi4uJYtGgR77zzzk3HmD17NiUlJXU6p5+fX7U/02q1TJ06lb179zJjxgyefvrpOv0+Qli6cT1asvF4GptPXuKtUQFYS/tVIYQZ+fP6nUIYy/AAb9YfSWV77GXeHh0gy3YI0YhIhxYhhDCeI8nZ7I3LwFqj8Peh1V+3E5arToPb165dY+/evQC0adOGnj171nrfo0ePkpqaCsCQIUPqdV0sIRrSW6MC+e1MOkeSs1l/NJXHerdRO9INrhaU8tSXhziXnk9zV3tWz+iLT5OGmeXQuaUbg/ybsicug2V7E1nwkLTqFaKhmGLNnj9/vkH7Hz58mIiICACmT59+w8B2ldmzZ7NixQpiY2NZsmQJb775pn4t7CpLly6loKCg1ud95JFHqh3c1mq1PPPMM6xevZpJkybxxRdf1PE3EsLyDfBrioejDZn5JRxIzGKAX1O1IwlhUkyxXovrZP1OUR8G+Hlha60h5WoR59Lz8feW/3aFaCymTJmidgSLJTekCdH4VK21PeHu1g023iFMR52mTsydO5eHHnqIp59+Gnv7uq3T6+DgwKRJk3jooYf45z//Wad9Re2EhoYSGBhIUFCQ2lEaleZu9vzf8MpBj39vPUNOYZnKia7LLijlqbBDnL2SRzMXO1bPuId2Xg07e/qFwR0BWHcklfS84gY9txCNmSXW7A0bNuifT5s2rdptNBoNkydPBioHDHbt2nXTNvn5+XVq8TZ48OCbjqHVapk2bRorV67kiSeeIDw8HI1GZqQK8Vc2VhpGdWsBwIZj0ppciL+yxHothLg1Jztr+vt6AdKaXAghjCUkJISYmBiioqLUjiKEaADRSVeJOJeJtUbhxaGy1nZjVOursFeuXCEsLAyA9957j4CAgDqdKCAggPfffx+dTsdnn31GZmZm3ZKK25Iirp5pwe3xa+bM1YJSPtx2Vu04AOQUljFp+SFiL+Xi5WzH6hl96dDUucFz3NPek54+7pSWawnfl9Tg5xeiMbLUmh0ZGQmAk5MTvXr1qnG7QYMG6Z/v27fP6DmqBrZXrVrFxIkT+frrr2WdbSFuYVyPVgD8+vtlistkJoUQVSy1Xgshbm94gDcgg9tCCCGEEHfioz9mbT/auzVtPGXWdmNU68Ht1atXU15eTqtWrXjhhRfu6GQzZ87Ex8eHsrIyVq9efUfHEMIU2VhpeHdcFwC+OZTMqdQcVfPkFJXx9FeH+D0tlyZOtnw34x58mzX8wDaAoii8MKhy9vbXB5LJLTadme1CWCpLrdmxsbEA+Pr6Ym1d88oqnTp1umkfY6lqRb5q1SoeffRRvvnmGxnYFuI2evl40MrdgfyScn47k652HCFMhqXWa0si3dFEfRkW0AyA4ynXpMOZEEIIIUQdHD5/lX3xWdhYKYQMkVnbjVWt19zetWsXiqIwYcKEW15QvuXJrK2ZMGECH330Eb/99hsvvfTSHR1HCFPUr2MTxvVoycbjaby18TT/e+FeNBqlwXPkFpcx+avDnEzNwdPJltUz+uKn8hpewwO88W3mTHx6PqsPXWDmH4PdQoj6YYk1u7i4WD8jrXXr1rfc1sPDAycnJwoKCkhJSTFqjnfffZeVK1fi7OyMv78/77333k3bjB8/nh49elS7f0lJCSUlJfp/5+bmGjWfEKZIo1EY26Mln+9OYMOxizzYtYXakYQwCZZYry2NrLkt6ou3qz3dW7txIjWH32LTebyPj9qRhBAmQqfTcfz4cU6cOEFmZiZFRUXodLpb7jNv3rwGSieEEOr7aHvVrO02tPaQWduNVa2/QZ88eRKg2nUn62LgwIF89NFHnDhxwqDjWJpvvvmGiIgIjhw5wqlTpygtLWXFihVMnTpV7WiiDt58MICdsemcSLnG99EpDf4FNb+knKlfHeZEyjXcHW34Zvo93NVc3YFtqLyoPXNQR15dd4LlkeeZem877G1kpqMQ9cUSa3ZeXp7+ubPz7TtRVA1u5+fnGzVHUlISULlu94IFC6rdpl27djUObi9cuJD58+cbNZMQ5mDcH4Pbu89mkFNYhpujjdqRhFCdJdZrIUTtjQj05kRqDttjrsjgthACgJUrVzJ//nySk5PrtJ8MbgshGouDiVkcSJRZ26IObcmzsrIAaNmypUEnbNGicqaGrAd2o7feeotly5aRnJys/99ImJ9mrva8PMIfgA9+OUN2QWmDnbugpJxpKw5z9MI13BwqB7YDW7o22PlvZ2z3lrR0sycjr4Qfj15UO44QFs0Sa3Zx8fV2jba2trfd3s7ODoCioiKj5ggPD0en093ycasb0+bMmUNOTo7+YeyZ5UKYqk7NXbnL24XSCi2//H5J7ThCmARLrNdCiNobHli57nZkfCaFpeUqpxFCqO3NN9/kmWeeISkp6bbfOYGb/t3YyVIiQjQOVbO2Jwa1oZW7g8pphJpqPbhdUVEBYHDBVBTlhuOJSmFhYSQlJZGRkcHMmTPVjiMMMKVfWzo1dyG7sIz//Hq2Qc5ZWFrOtPAoopKycbG35pvp99CllWm1zbO11jB9QAcAlu5NoEIrf3wLUV8ssWbb29vrn5eW3v7GoarW3w4OpvWHrp2dHa6urjc8hGgsxvWsHMDbcCxN5SRCmAZLrNdCiNq7y9uF1h4OlJRriTwnN6cI0ZgdOnSIhQsXAjBixAiOHz/O0aNHgco6X1FRQUZGBlu3bmXs2LHodDr69+/PpUuX0Gq1akY3GSEhIcTExBAVFaV2FCFEPdmfkMmh81extdLIrG1R+8FtLy8vAC5dMmymRdX+VccTlYYPH07btm3VjiGMwNpKw7vjugCwJuoCx1Ou1ev5ikormB4ezeHzV3Gxs+br6ffQtbVpDWxXeTyoDe6ONiRnFbL1tMzaEqK+WGLNdnG5vsRCbVqNFxQUALVrYa4GuatcNEZjulUObh88n8XlnOLbbC2E5bPEei2EqD1FURgeUDl7e0fsFZXTCCHU9PnnnwPQtm1btmzZQrdu3bCxub6Mj6IoNGnShPvuu48NGzYQGhpKZGQk999/f61u/hZCCHOn0+n4ePs5AB7v04YWbqY1mUU0vFoPbrdv3x6AvXv3GnTCPXv23HA8Q6Wnp7N582bmzZvHAw88gJeXF4qioChKnderTk5OZvbs2XTq1AknJyc8PT0JCgriv//9L4WFhUbJKxqHPu09efjuVuh08PaG0/U2S7m4rIIZq6I5kJiFs501K6f3oUcb93o5lzE42VkzpV87AD7fnSCtk4SoJ6Zasw1hb29PkyZNAEhNTb3lttnZ2frB7TZt2tR7tjshd5WLxqiNpyO923qg08HmkzJ7WwhLrNeWRm5GE/Vt5B+tyXfGpkt3MyEasf3796MoCi+99BLW1ta33f6FF15gwoQJnDx5ks8++6wBEgohhLr2J2RxOOkqttYa/jZYZm2LOgxuDxs2DJ1Ox+rVq/UXjOuqoKCAb7/9FkVRGDZs2B0d46+8vb0ZM2YM//rXv/jll1/065bV1aZNm+jWrRuLFy/m7NmzFBYWkp2dTXR0NK+//jo9e/YkPj7eKJlF4zDngQBc7K05dTGH7w5fMPrxi8sqeP7rI0TGZ+Joa0X4tCDu9vEw+nmMbcq97XCwseL3tFwi46X1mhD1wVRrtqECAwMBiI+Pp7y85nUJz5w5o38eEBBQ77mEELU3rmcrADYcv6hyEiHUZ6n12pLIzWiivgW198TF3pqsglKOp2SrHUcIoZKqLiydO3fWv6bRXL9sX1ZWdtM+Tz/9NDqdjrVr19Z/QCGEUJFOp9Ovtf1kHx+au9nfZg/RGNR6cPuxxx5Do9GQnp7OK6+8ckcne/nll0lPT0ej0TBx4sQ7Osat+Pj4MHLkyDrvd+zYMSZOnEhubi7Ozs4sWLCA/fv3s3PnTmbMmAFAXFwco0aNIi8vz9ixhYVq6mLHqyPvAuC/v54lK7/EaMcuKa/gb98eZU9cBg42VqyYGkTvdp5GO3598nSy5fE+lTMpP9+doHIaISyTOdTsO9G/f3+g8kL+kSNHatyuagYbQHBwcL3nEkLU3qiuLbDWKJy+mEt8+u2XGBDCkllqvRZC1J6NlYYhdzUDYHtMuspphBBqqRq8btasmf61Py+xlZGRcdM+rVu3BpDJWEIIixcZn0l0cjZ21hpeGNxR7TjCRNy+z8kfOnXqxJNPPsk333xDWFgYiqLw0Ucf4eBw+972RUVF/N///Z9+v6eeeoq77rrLoOBV5s2bR1BQEEFBQXh7e5OUlFTndmyzZs2iqKgIa2trtm3bRr9+/fQ/Gzp0KH5+frz++uvExcWxaNEi3nnnnZuOMXv2bEpKaj94OWvWLPz8/OqUU5ifp+7xYW1UCjGXcvnglzP855HuBh+ztFxLyLfH+O1MOvY2Gr6aGsQ9HZoYIW3DeXZAB74+kMz+hCyOp1wz6VbqQpgjU63Zhho/fjwLFy4EYMWKFdxzzz03baPValm1ahUA7u7uDBkypEEz1lZoaCihoaFUVFSoHUWIBuXpZMsAPy92nc3gpxNpvDLCX+1IQqjGUuu1EKJuRgR689OJNLbHXOYfD3RSO44QQgVNmzYlLS2N3Nxc/Wve3t5YWVmh1WqJjY2lZcuWN+xTNdtbJmIJISzZDbO27/HB21VmbYtKtZ65DbBkyRL8/PzQ6XR8+eWX+Pn5MX/+fKKiom5qj1JWVkZUVBTvvPMOfn5+hIWFAeDv78/HH39stF9g/vz5jB49Gm9v7zva//Dhw0RERAAwffr0Gwa2q8yePVvf1nTJkiXVtoJZunSp/kJ1bR4XL0orxsbA2krDv8Z3AeD76FSOJBvWZqysQsvfvzvKjtgr2FlrWD4liH4dzWtgG6CVuwPjelS2Jf1CZm8LUS9MsWYbqk+fPgwYMACA5cuXc+DAgZu2WbRoEbGxsUDljWQ2NjYNmrG2pM2paMyq/gb46fhFdDpZX1Q0bpZYr4UQdTPorqZYaxQSMgpIzJCuJkI0RlXtyP+8xJatra3+9epaj3/99dcANw16N1ahoaEEBgYSFBSkdhQhhBHtPZfJ0QvXKmdtD5JZ2+K6Ws/cBvDw8GDr1q2MGTOG2NhYLl26xLvvvsu7776LRqPBzc0NJycnCgoKyMnJQavVAugvWgUEBLB582bc3d2N/ovcqQ0bNuifT5s2rdptNBoNkydPZs6cOVy7do1du3bd1P48P1++gIjq9WrrwWO9W/N9dCpvbzjNpr/3x0qj1Pk45RVaZq05xq+/X8HWWsOXk3sT7OtVD4kbxsxBHfjhaCq/xlwmPj0f32bOt99JCFFrplizIyMjb2iZlpmZqX8eHx9PeHj4DdtPnTr1pmMsWbKE4OBgioqKGDlyJHPnzmXIkCEUFRWxZs0ali1bBlRe6J89e7bRsgshjGdEoDcONlYkZRVyIjVHOriIRs0U67UQomG52tvQt0MTIuMz2RmbToem8t1YiMZmwIABbNu2jV27dumXyASYOHEiJ0+e5KuvvqJFixY89thjFBQUEB4ezvfff4+iKDzwwAMqJjcdISEhhISEkJubi5ubm9pxhBBG8OdZ25P6tqWZzNoWf1KnmdsAHTp0IDo6mr///e/Y29uj0+nQ6XRUVFRw9epVUlNTuXr1KhUVFfqfOTg48NJLLxEVFVXnluH1LTIyEgAnJyd69epV43aDBg3SP9+3b1+95xKW5Y37O+Fqb03MpVy+OZhc5/3LK7S8/P0Jfj51GVsrDUsn9WKgf9N6SNpw/LxdGB7gjU4Hy/bK7O3b0el0pFwtlBluok5MrWaHhYUxbdo0/eO1117T/2zfvn03/KymG8569uzJ2rVrcXV1JT8/n7lz59KvXz+GDh16w8D2li1bcHFxMWp+IYRxONlZMyKwsuvSxuPSzUgIU6vXQoiGNzzgj3W3Y6+onEQIoYbx48cDsHnz5htak8+aNYt27dqh1Wp577336NatG/369WPp0qVA5U1yc+bMUSOyEELUu91xGRxPuYa9jYaZMmtb/EWdB7cBHBwcWLJkCcnJyXzyySdMmDABX19fPDw8sLKywsPDA19fXyZMmMAnn3xCcnIyH3/8MY6OjsbOb7Cq1qW+vr5YW9c8kb1Tp+vrHlXtI0RtNXG247X7K99DH247S0Ze7ddnr9DqeHXdCTadSMPGSuGzp+5mSKdm9RW1Qb0wuLIo/e/YRS7lFKmcxrTN/d9pBvxnFz8elUEAUTeWVLOrjBkzhpMnT/Lyyy/j7++Po6Mj7u7u9O7dmw8++IBjx47h6+urdsxbkpZporEb16OyfeKmE5eo0MqNW0JYYr0WQtTe8D9u+opOusrVglKV0wghGlrnzp3ZtWsX//vf/ygvL9e/7ujoyK5duwgODtbf4Fb16NKlCzt37qR169YqJhdCiPqh0+n4+I9Z20/3bUtTFzuVEwlTo+gsbBpgUlKS/s71KVOm3NTi9M+Ki4txcHAAYNSoUWzevPmWx3Z2dqagoIC+fftWu86nIcLCwvSzyE+dOsXRo0cJDg7WX5zv378/zz77bLX7lpSUUFJyfbA0NzeXNm3akJOTg6urq1FzijtXodUxPnQfpy7mMOHu1ix6rHut9nlt/Ql+PHoRa41C6FN3c1/n5g2QtuE8tvQAh89f5dn+7XlrdKDacUzSuugUXlt/EoBB/k1Z+UwflROJ2qhqhSWfxeJW5H0iGquyCi19Fuwgu7CMr6f3YYCfeXekEeZLPofFrYSGhhIaGkpFRQVxcXHyPhH16oElEcReymXRo92Z0EsGq4T4q8Zes8+ePcvvv/9OeXk5fn5+9OzZU+1IJqmxv0+EsBS/nbnCM+HRONhYEfHGELycZXDbXDTU5/Adzdy2FHl5efrnzs63X9PIyckJqJ/1tSMjI1m5ciUrV67k6NGjQGWL1qrXqga+q7Nw4ULc3Nz0jzZt2hg9nzCclUbhX+O7oCjww9FUopKu3nJ7rVbHnB9P8uPRi1hpFD59oqfFDWzD9dnb3x2+wLVCuUP9r85ezuPtjaf1/z50PovisgoVEwkhhBCGs7HS8GDXFgBsPJ6mchohhKheSEgIMTExREVFqR1FNAIj/mhNvkNakwshqnHXXXfx8MMP89hjj8nAthDCoul0Oj7ecQ6Ayf3aysC2qFajHtwuLi7WP7e1tb3t9nZ2lf8RFRUZv31yeHj4Te1l/vy41Qz0OXPmkJOTo3+kpKQYPZ8wjh5t3Hk8qPLmg7c3nKa8Qlvtdlqtjjc3nOL76FQ0Cix5vAcP/HEB2NIM9m9Kp+YuFJRW8PWBuq9HbsnyS8p54dsjFJdpGeDnRTMXO4rLtEQnZasdTQghhDDYuB6tAPjl9GW5cUsIIUSjV9WafE9chtRFIRqZnJwctSMIIYTJ2BmbzsnUHBxtrXhuYAe14wgT1agHt+3t7fXPS0tvP2O0qvV3VStzU2FnZ4erq+sND2G6Xr+vE+6ONpy5nMeqagZzdTod8346zXeHU9Ao8NHEHozu1lKFpA1DURT97O0V+5MoKpUv8VD5Ppjz4ykSMwpo7mrPxxN76Fu2RpzLUDmdEMJQsua2ENC7rQet3B3ILynntzPpascRQgghVNW1lRvernYUllZwIDFL7ThCiAbUvHlzHnnkEX788cdaXaMWQghLpdPp+Hhn5Vrbk/u1o4nM2hY1aNSD2y4uLvrntWk1XlBQANSuhbka5EK5efBwsuWN+zsBsHh7HOm51zsI6HQ65m+K4ZuDF1AU+PDR7vpZTZZsVNcWtPF04GpBKd9HS+cBgG8PXWDTiTSsNAr/78meNHG2Y6C/F1B5J78QwrxJm1MhQKNRGNO98ga+jccvqpxGCCGEUJeiKAwPqJy9vSNGWpML0ZiUlJTwv//9j0cffRRvb29mzJjBrl271I4lhBANbnvMFU5fzMVJZm2L22jUg9v29vY0adIEgNTU1Ftum52drR/cNtU1reVCufmY2LsN3du4k19Szvs/xwKVA9v/2hxL+P4kFAX+M6EbD9/dWuWkDcPaSsNzAytnby/bm0hZDe3aG4vTF3N4d1MMAG/cfxe923kC0N/XC0WBM5fzbrgpQgghhDBX43pUDm7vOpNBTlGZymmEEEIIdVW1Jt8RewWdTqdyGiFEQ5kxYwYeHh7odDpycnL46quvGD58OG3atOH111/n+PHjakcUQoh6p9Xq+OiPtban3NsOT6fbLyUsGq9GPbgNEBgYCEB8fDzl5eU1bnfmzBn984CAgHrPJSybRqPw3rguKApsOJ7GgYQs3v85lq/2nQdg4UNdebS3ad5EUV8e7dUaL2dbLl4rYvPJNLXjqCanqIy/fXuU0gotwwOaMWPA9TvUmjjb0aWlGwAR5zLViiiEEEIYTUALV+7ydqG0Qsuvpy+rHUcIIYRQ1b0dm+Bka8WV3BJOXZQ1eIVoLJYuXcrly5fZuHEjEydOxN7eHp1Ox8WLF1m0aBG9evWic+fOLFy4kKSkJLXjmiTpaCqE+dsWc5nYS7k421nfcE1ciOo0+sHt/v37A5Utx48cOVLjdnv27NE/Dw4Orvdcd0KKuHnp2tqNp+7xAWDGqmi+jKgc2F7wUBce7+OjZjRV2NtYMS24PQCf705Aq218d6nrdDpeW3eCC1cLae3hwKJHe6Aoyg3bVLUm3yvrbgshhLAQY/+Yvb1BWpMLIYRo5OysrRjo3xSQ1uRCNDbW1taMGTOG7777jvT0dFatWsX999+PlZUVOp2O2NhY3nrrLTp27Ej//v354osvyMrKUju2yZCOpkKYN61Wx8d/zNqeem87PGTWtriNRj+4PX78eP3zFStWVLuNVqtl1apVALi7uzNkyJCGiFZnUsTNz6sj78LTyZb8ksquAe+O68xT97RVOZV6JvVti7OdNXFX8tl1Nl3tOA1ueeR5tsVcwdZKQ+iTd+PmaHPTNgP8Ki90RJ7LbJQ3AAghhLA8Y/9Yd/tAYhZXZNkNIYQQjVzVutvbYxvfd2IhRCUnJycmTZrEzz//zMWLF/n000/p168fOp0OnU7H/v37CQkJoWXLlowdO1btuEIIYbBffr/Mmct5uNhZ8+yA9mrHEWag0Q9u9+nThwEDBgCwfPlyDhw4cNM2ixYtIja2cl3kWbNmYWNz84CTEHfC3dGWfz/clVbuDvxrXGcm92undiRVuTnY6Gezf7EnQeU0DetIcjb/3lq5/MFbowPo3sa92u3u9vHAydaKrIJSYi7lNmBCIYQxSbcVIa5r4+lIr7Ye6HSw6UTjXZpECCGEABjSqRkaBWIv5ZKaXah2HCGEypo2bUpISAj79u0jMTGR9957j86dO6PT6SgrK2PLli1qRxRCCINotTqW/DFre1pwO9wdZda2uD1rtQMYKjIykvj4eP2/MzOvr0MbHx9PeHj4DdtPnTr1pmMsWbKE4OBgioqKGDlyJHPnzmXIkCEUFRWxZs0ali1bBoC/vz+zZ8+ul9/DGEJDQwkNDaWiokLtKKIORnZuzsjOzdWOYTKe6d+eFfuSiErKJirpKkHtPNWOVO+uFpTy4uqjlGt1jOrWgqf71jx739ZaQ7+OTdgRm86euAy6tHJrwKRCCGMJCQkhJCSE3Nxc3Nzkv2MhxvdoyZHkbDYeT+NZWVtLCGEi5Du2UIOnky2923ly+PxVdsRcYWqwzF4SQlRq164dEyZMoKioiIsXL3Lt2jW1IwkhhMF+Pn2Js1fycLG3Znp/uR4gakfR6XRm3dd26tSprFy5stbb1/Trbtq0iUmTJpGbW/1MSH9/f7Zs2YKvr+8d5WxIVRfKc3JycHV1VTuOEHU258eTfHc4hWGdmrF8qmXPatRqdTyzMordZzNo7+XETy8G42J/6+4Qqw4kMW/j7/Tt4Mma5/o1UFJRV/JZLGpD3idCVMrKL6HP+zup0OrYOXsQHZs6qx1JNBLyOSxqQ94noqF9uTeRBT/H0t/Xi2+evUftOEKYhMb8WXzp0iW+++47Vq9ezbFjx/Sv63Q67O3tKSyULg9VGvP7RAhzVKHVcf/HezmXns+sYX68PMJf7UjCQA31OWzQzO0LFy7UeR9FUbC3t8fNzQ1bW9NpLzBmzBhOnjzJkiVL2LJlC6mpqdja2uLr68ujjz7Kiy++iKOjo9oxhWgUnhvYkTVRKew8k86Zy7l0am65f4x+vieB3WczsLPW8NlTd992YBtg4B/rbh9JzqagpBwnO7NvwiEagCXVbCGE5WnibMcAPy92n83gp+Np8oVWNFpSr4UQAMMDvVnwcywHE7PILS7DtRbfE4UQliU3N5f169fz7bffsnfvXrRarX7SlqIoDBo0iKeeeopHHnlE5aRCCHHntpy6xLn0fFzsrXmmv3SrEbVn0IhI+/aGvdlat25N3759mTp1Kg888MAdHSM8PPym1uN3qm3btixevJjFixcb5XhCiDvT3suJB7u0YMupSyzdk8hHE3uoHaleHEjIYtG2swD8a1wXAlrUbhC/bRNH2ng6kHK1iAMJWQwP9K7PmMJCmELNFkKIWxnfoxW7z2aw8fhF/m+4H4qiqB1JiAYn9VoIAZXfiTs2dSIho4DdZzMY272l2pGEEA2gtLSUzZs38+2337J161ZKSkqA651Iu3fvzlNPPcUTTzxBq1at1IwqhBAGq9DqWLIjDoBn+3fAzUFu5hO1pzFkZ51OZ9AjJSWF9evXM3r0aO6//36ys7ON9Xs1SqGhoQQGBhIUZNltnEXjMHNQRwB+OpFGylXLa6+UnlfMS2uOodXBhLtb82jv1rXeV1EU/eztiHMZ9RVRWBip2UIIUzci0Bt7Gw1JWYWcTM1RO44QqpB6LYSoMiKwOQA7Yq6onEQIUd927tzJ9OnT8fb25tFHH2XDhg0UFxej0+nw8fFhzpw5nD59mmPHjvHqq6/KwLYQwiJsPplGQkYBrvbWTOvfTu04wswYNHN7xYoVAHzxxRccOnQIe3t77rvvPnr37k3TppUDLxkZGURHR/Prr79SUlJCnz59eO6558jNzeX06dNs3LiRzMxMtm/fzvjx49mzZ4/hv1UjFRISQkhIiL6nvRDmrGtrN/r7ehEZn0lYRCLzx3VRO5LRVGh1zPruOBl5Jfh7O/Ov8Z3rPDttoH9Tvj10gb3nMusppbA0UrOFEKbOyc6aEYHN2XQijY3H0+jexl3tSEI0OKnXxvPNN98QERHBkSNHOHXqFKWlpaxYsYKpU6eqHU2IWhkR2Iwv9iSw62w6ZRVabKwMmp8ihDBhI0aMQFEU/QztJk2a8Oijj/LUU08RHByscjohhDC+Cq2OJTvPATBjQAdZgkXUmUGD21OmTGHmzJkcPnyYcePGsXTpUpo1a1bttunp6Tz33HNs2rSJzp07ExYWBsCnn37KzJkzWbVqFZGRkaxdu5aJEycaEksIYSFeGNyRyPhM1kan8NIwP5o426kdySiW7IjjQGIWjrZWfPbU3Tja1v2juF/HJlhpFM5nFpBytZA2no71kFRYEqnZpiU0NJTQ0FAqKirUjiKESRnfoyWbTqSx6WQab44KwEojrclF4yL12njeeustkpOT8fLyokWLFiQnJ6sdSYg66dHGgyZOtmQVlBJ1/ir3+nqpHUkIUY/s7e0ZO3YsTz31FPfffz/W1gZdthdCCJP204mLJGYU4O5ow9TgdmrHEWbIoNs+N2zYwLJly+jXrx8//vhjjV+6AZo1a8b//vc/+vbty4oVK/j++++BysL91VdfcffddwOwZs0aQyIJISzIvR2b0K21G8VlWlbuT1I7jlHsicvg013xACx8uCu+zVzu6Diu9jbc7eMOwF5pTS5qQWq2aQkJCSEmJoaoqCi1owhhUgb4NcXd0YaMvBIOJGSpHUeIBif12njCwsJISkoiIyODmTNnqh1HiDqz0igMC6j8DNgmrcmFsGgrV67kypUrfPfdd4wePVoGtoUQFq28QssnOyuvj88Y0AEXmbUt7oBBg9ufffYZiqIwa9asWrXUVRSF//u//0On07Fs2bLrITQaZsyYgU6nIzo62pBIQggLoigKL/yx9vbKA8nkl5SrnMgwadeK+L81x9Dp4Kl7fBjXw7A1kgb8se723jgZ3Ba3JzVbCGEObK01PNi1BQAbj19UOY0QDU/qtfEMHz6ctm3bqh1DCIMMD/AGYEfsFX27YiGE5Xn66adxdnZWO4YQQjSIjcfTOJ9ZgIejDVPubad2HGGmDBrcPnnyJAC+vr613qdq21OnTt3werdu3QDIypIZGncqNDSUwMBAgoKC1I4ihNGM7NycDl5O5BSVsebwBbXj3LGyCi1//+4Y2YVldG7pytujAw0+5kD/ysHt/fFZlFdoDT6esGxSs4UQ5mJc95YA/HL6MsVl0rpfNC6mUK/T09PZvHkz8+bN44EHHsDLywtFUVAUpc7rVScnJzN79mw6deqEk5MTnp6eBAUF8d///pfCwsI6HUuIxqi/nxd21hpSs4s4eyVP7ThCCGGy5Lq4EOahvELLp7/9sdb2wA4420mnCnFnDHrn5ObmApCRUftZg1Xb5uXd+Ee5g4MDADY20oLgToWEhBASEkJubi5ubm5qxxHCKKw0Cs8P6sAbP5ziy4hEnu7XFjtrK7Vj1dl/fz3LkeRsXOys+eypu7G3Mfx36NrKDXdHG64VlnE85Rq923kaIamwVFKzhRDmIqidJy3d7EnLKWbXmXQe+GMmtxCNgSnUa29v7zptX5NNmzYxadIk/e8EUFhYSHR0NNHR0YSFhbFly5Y6DeQL0dg42lrT39eLnWfS2RFzhU7NXdWOJIRoAHl5eZw/f568vDwqKm5/s+fAgQMbIJVpk+viQpiH/x27SFJWIZ5Otkzp107tOMKMGTRz28fHB4Dvvvuu1vt8++23N+xbJT09HYCmTZsaEkkIYYHG92yFt6sdV3JL2HgsTe04dbbt98ss25sIwH8f7UbbJk5GOa6VRiHY1wuAvecyjXJMYbmkZgshzIVGozCmR+Xs7Y3Hza/uC2EIU6vXPj4+jBw5ss77HTt2jIkTJ5Kbm4uzszMLFixg//797Ny5kxkzZgAQFxfHqFGjbhqUF0LcaERg5Q0n22XdbSEs3pdffknPnj3x8PCgZ8+eDBw4kCFDhtzyMXToULVjCyFErZRVaPn0t8q1tp8b2AEnmbUtDGDQu2fs2LF8+OGHrFq1il69evHiiy/ecvtPP/2Ur7/+GkVRGDt27A0/O3ToEADt2rUzJJIQwgLZWVsxvX973v/5DF/sTWBCr9ZYaW6/BqEpSLlayKvrTgDwTHB77u9i3Nlng/yasuXkJfbGZfDKCH+jHltYFqnZQghzMq57K5buSeS3s+nkFJXh5iCdIkTjYAr1et68eQQFBREUFIS3tzdJSUm0b9++TseYNWsWRUVFWFtbs23bNvr166f/2dChQ/Hz8+P1118nLi6ORYsW8c4779x0jNmzZ1NSUlKnc/r5+dUppxDmYGhAMwBOpOZwJbcYb1d7lRMJIYytoqKCCRMmsGnTJgB0Op3KiYQQwvj+d/QiF64W0sTJlsn92qodR5g5gwa3//GPf7Bq1SoyMjKYNWsW33zzDZMmTaJXr176u8MzMjI4cuQI33zzDVFRUUDlneP/+Mc/bjjWmjVrUBSF4cOHGxJJCGGhnujjw//7LZ7EjAK2x1w2+iBxfSgpr+Bv3x4lt7icnj7u/OOBTkY/xwD/ypnbJ1Ovca2wFHdHW6OfQ1gGqdlCCHMS0MIFf29n4q7k8+vpyzwW1EbtSEI0CFOo1/Pnzzfodzh8+DAREREATJ8+/YaB7SqzZ89mxYoVxMbGsmTJEt58882b2qcvXbqUgoKCWp/3kUcekcFtYZGaudjTo407x1OusTM2nSfv8bn9TkIIs/LFF1/w008/AZXLg0ybNo1evXrh6emJRmNQ41UhhDAJZRVaPt1Vudb284M64Ggrs7aFYQx6B3l6erJ9+3buv/9+Ll26RFRUlP7LdXV0Oh3Nmzfnl19+wdPz+tqwiYmJ9OnThz59+jBhwgRDIjVqoaGhhIaG1motFiHMjYu9DZP7teP/7Yrn8z2J3Ne5OYpi2rO3F2yJ5dTFHNwdbfh/T96NrbXxv5C0cHPAr5kz59Lz2Refxahupj/oL9QhNdu0SM0W4tYURWFcj1b899ezbDxxUQa3RaNhCfV6w4YN+ufTpk2rdhuNRsPkyZOZM2cO165dY9euXTe1P8/Pz6/PmEKYlRGB3hxPucb2mMsyuC2EBVq1ahUAgYGBRERE4OHhoXIiIYQwrh+OpJJytQgvZ1sm9ZVZ28JwBo+0dO3alZiYGGbNmoWbmxs6na7ah6urK3//+9/5/fff6dat2w3H6NChAytWrGDFihVyp7UBQkJCiImJueXFDyHM2dTgdthZaziRco0DiVlqx7mlTSfSWHUgGYCPHutBK3eHejvXQP/KWTx74zLq7RzCMkjNNh1Ss4W4vbHdK9fd3p+QRXpuscpphGg45l6vIyMjAXBycqJXr141bjdo0CD983379tV7LiHMWdW62/sSsigoKVc5jRDC2GJjY1EUhbffflsGtoUQFqe0/Ppa2zMHdZRZ28IojPIucnNz46OPPuKDDz4gOjqa06dPk52dDYCHhwedO3emd+/e2NnZGeN0QohGysvZjolBbVh1IJnPdydwb0cvtSNVKzEjn3/8cBKAvw3uyJBOzer1fAP8vFgeeZ695zLQ6XQmP6NdqEtqthDCXLTxdKRXWw+OJGfz04k0nh3QQe1IQjQYc67XsbGxAPj6+mJtXfMlh06dri/ZU7WPEKJ6fs2c8fF05MLVQiLOZXJ/l+ZqRxJC1IO77rpL7QhCCGF064+kcvFaEV7Odjx1j8zaFsZh1FskbG1tuffee7n33nuNeVghhNCbMaAD3x66QMS5TE5fzKFLKze1I92gqLRyne2C0gruae/JKyP86/2c97Rvgq21hks5xSRk5OPbzKXezynMn9RsIYQ5GNejpQxui0bN3Op1cXExmZmZALRu3fqW23p4eODk5ERBQQEpKSlGzxIWFqafRX7q1Cn9a7t37wagf//+PPvss9XuW1JSQklJif7fubm5Rs8nRF0oisLwAG++2neeHbFXZHBbCAvj5+fH8ePHuXr1qtpRhBDCqErLtYTuqpy1/cLgjjjYWqmcSFgK4y8AK4QQ9aiNpyNj/lhX+vM9CSqnudk/fzrNmct5eDnb8ukTPbG2qv+PWQdbK/q0q1xjcU9cZr2fTwghhGgoD3ZtgZVG4WRqDokZsv6uEKYuLy9P/9zZ2fm22zs5OQH1s752ZGQkK1euZOXKlRw9ehSobH9e9VrVwHd1Fi5ciJubm/7Rpk0bo+cToq6qWpP/diadCq1O5TRCCGN6/PHH0el0bN68We0oQghhVN9Hp3DxWhHNXOx46h4fteMICyKD20IIs/P8oI4AbD11ifOZBSqnuW5ddArfR6eiKPDJ4z1p5mrfYOce6F/Zoj3inKy7LYQQwnJ4OdsxwK+yxv10Ik3lNEKI2ykuLtY/t7W1ve32VW3Vi4qKjJ4lPDy8xvXKdTod4eHhNe47Z84ccnJy9I/6mFkuRF31bueBm4MNVwtKOXohW+04Qggjeumll+jevTuff/45ERERasdpcN988w3PP/+8fskVRVFuWaeFEOahpLzihlnb9jYya1sYj9Hakp84cYKIiAgSExPJy8ujoqLiltsrisLy5cuNdXohRCMS0MKVIXc1ZdfZDJbtTWThw13VjsTZy3m8vfE0AC8P9+de34ZdD3ygf1Pe//kMBxOzKC6rkD8WxC1JzRZCmJNxPVqy+2wGG4+nMWuYH4qiqB1JiAZhjvXa3v76zZ2lpaW33b6q9beDg0O9ZboTdnZ2JrmeuWjcbKw0DLmrKRuOp7Ej5gpBf3TvEkKYPzs7O3799VcefvhhRowYwUsvvcSTTz5Jp06dbqitluqtt94iOTkZLy8vWrRoQXJystqRhBBG8H1UCpdyivF2teOJPjJrWxiXwYPbZ8+e5ZlnnuHgwYO13ken05nEF28hhPl6YbAvu85m8MORVF4e7tegs6T/qqCknBe+PUJxmZYBfl68OMS3wTPc5e1CMxc70vNKiE7Kpr9fww6uC/MgNVsIYY5GBDbH3uYU5zMLOHUxh26t3dWOJES9Mud67eLion9em1bjBQWVXZhq08JcDaGhoYSGht72xgIhGsrwQG82HE9je+wV5jwYoHYcIYSRWFldn6Cg0+lYtGgRixYtqtW+iqJQXl5eX9EaRFhYGH5+frRt25Z///vfzJkzR+1IQggDFZdVELqrcknRvw32lYlYwugMGty+ePEiAwcOJDMzE52ucr0fZ2dnPDw80Gik43lDky/eojEJaudBr7YeHEnO5qt9SfzjgU6q5NDpdMz58RSJGQU0d7Xn44k90GgafkaZoigM8GvKD0dTiTiXIYPb4iZSs4UQ5srZzprhAd5sPnmJjcfTZHBbWDRzr9f29vY0adKErKwsUlNTb7ltdna2fnDbVNe0DgkJISQkhNzcXNzc3NSOIwSD/JtiY6WQmFFAQkY+HZua5o0hQoi6qar5Nf3b0g0fPlztCEIII1sblcLl3GKau9ozMcg0/9YX5s2gwe0FCxaQkZGBoig8++yzvPrqq/j7+xsrm6gj+eItGhNFUXhhUEeeXRXNtweT+duQjrja2zR4jm8PXeCnE2lYaRT+35M9aeKsXvvCgf5e/HA0lT1xGXIXv7iJ1GwhhDkb36MVm09eYtOJNOY+GICVCjeSCdEQLKFeBwYGEhERQXx8POXl5VhbV3/Z4cyZM/rnAQHyt6sQteFib0PfDk2IOJfJjpgrdBwkg9tCWIJ//vOfqpw3PT2dw4cPc/jwYaKiooiKiiIrKwuAKVOm1Gnd6+TkZD755BO2bNlCSkoKdnZ2dOzYkccee4yQkBAcHR3r6bcQQpia4rIKPttdudZ2yBBZa1vUD4MGt3/55RcURWHy5MksW7bMWJmEEKJWhnZqhr+3M3FX8vnmYDJ/G9yw7cBPX8zh3U0xALxx/130VnnNs/6+XigKnLmcR3pusaqt2oXpkZothDBnA/2b4uZgQ3peCQcTswj2lQ4lwjJZQr3u378/ERERFBQUcOTIEe65555qt9uzZ4/+eXBwcEPFqxPpjiZM0YhA78rB7dgrPD+oo9pxhBBGoNbgtre3t1GOs2nTJiZNmkRubq7+tcLCQqKjo4mOjiYsLIwtW7bg69vwy/gJIRred4cvcCW3hJZu9jwms7ZFPTGor1laWhoAkydPNkoYIYSoC41GYeYfX+a/ikyiuKzhLjrlFJXxt2+PUlqhZXhAM2YM6NBg565JE2c7urSs7NoQcS5T5TTC1EjNFkKYM1trDQ92bQHAxuMXVU4jRP2xhHo9fvx4/fMVK1ZUu41Wq2XVqlUAuLu7M2TIkIaIVmchISHExMQQFRWldhQh9IYFVA5GHUnOJiu/ROU0QghL4ePjw8iRI+u837Fjx5g4cSK5ubk4OzuzYMEC9u/fz86dO5kxYwYAcXFxjBo1iry8PGPHFkKYmMpZ23+stT3EFztrmbUt6odBg9seHh5A5ZdRIYRQw5juLWnl7kBmfgnrj9x6XT9j0el0vL7+BBeuFtLaw4FFj/ZAUUyjPeqAP9ba3nsuQ+UkwtRIzTYtoaGhBAYGEhQUpHYUIczG+B4tAdh66nKD3tAmREOyhHrdp08fBgwYAMDy5cs5cODATdssWrSI2NhYAGbNmoWNTcMvLySEuWrl7kDnlq5odfDbmXS14wghzNi8efPYtGkTly9fJjk5maVLl9b5GLNmzaKoqAhra2u2bdvG3Llz6devH0OHDmXZsmX85z//ASoHuBctWmTsX0EIYWK+OZhMRl4JrdwdeKy3zNoW9cegwe3evXsDlcVJCCHUYGOl4dkB7QFYtjeR8gptvZ9zeeR5fv39CrZWGj576m7cHE3nYtxA/6YARJ7LRKvVqZxGmBKp2aZFZoIJUXdB7Txp4WZPXkk5u8/KxXxhmUyhXkdGRhIeHq5/rF+/Xv+z+Pj4G35W01qcS5YswcHBgfLyckaOHMnChQs5ePAgu3bt4vnnn+f1118HwN/fn9mzZzfEr3VH5GY0YaqG/zF7e0fsFZWTCCHqQ0JCAt988w0ffvgh7777LpmZ9dOdb/78+YwePfqO25MfPnyYiIgIAKZPn06/fv1u2mb27NkEBAQAlX8flJWV3XlgIYRJKyqt4Is9iQCEDPHF1tqg4Uchbsmgd9dLL72ETqcz27XAhBCWYWJQGzwcbbhwtZCfT1+u13MdSc7m31vPAPDW6AC6tXav1/PV1d0+HjjZWpFVUErMpdzb7yAaDanZQghzp9EojO1eOXt74/E0ldMIUT9MoV6HhYUxbdo0/eO1117T/2zfvn03/GzatGnVHqNnz56sXbsWV1dX8vPzb5rFBZUD21u2bMHFxaVBfq87ITejCVM1IrByIGpvXKZ0MxHCghw9epSBAwfi7+/PlClTeOONN5g/fz7p6Tfe2BkaGkqzZs3w8/NTdbB4w4YN+uc1/U2g0Wj0y61cu3aNXbt2NUQ0IYQKvjmYTGZ+5aztR3q1VjuOsHAGDW6PGDGCN954g127dvHCCy/InVdCCFU42loz9d7K2duf705Ap6ufGctXC0p5cfVRyrU6RnVrwdN929bLeQxha62hX8cmAOyJk9bk4jqp2UIISzCuRysAdp5JJ7dYPseE5bGkej1mzBhOnjzJyy+/jL+/P46Ojri7u9O7d28++OADjh07hq+vr9oxhTBLnVu60sLNnqKyCvYnkEKYqAAAmulJREFU1M+MTiFEw9q8eTPBwcHs27cPnU6nf1Rn8uTJFBUVkZiYyObNmxs46XWRkZEAODk50atXrxq3GzRokP75vn376j2XEKLhFZaW88WeyrW2/z5UZm2L+mdtyM6rVq0iICCAe++9l2XLlrFp0yYeeeQROnXqhKOj4233r7prSwghDDW5X1uW7k0g9lIue89lMuiP9tzGotXqeOX741zKKaa9lxP/friryayz/VcD/ZuyIzadiHMZhAyRC4aiktRsIYQlCGjhgl8zZ86l5/PL6cuyhpewOKZQr2/Vbryu2rZty+LFi1m8eLFRjieEqKQoCsMDvPn6YDLbY9IZ2unOWgoLIUzDpUuXeOKJJygpKaFz5858+OGH9O/fv8buJi4uLowdO5Y1a9awdetWHnrooQZOXCk2NhYAX19frK1rHmbo1KnTTfsIISzL1weSySoopY2nAxNk1rZoAAYNbk+dOvWGwZ1Lly7x6aef1mpfRVHkQrkQwmg8nGx5oo8PyyPP8/nueKMPbn++J4HdZzOws65cZ9vF3nTW2f6rAX6Vv/uR5GwKSspxsjPoo15YCKnZQghLoCgK43q05MNtcfx0PE0Gt4XFkXptWkJDQwkNDaWiQto+C9MzPLBycHtn7BW02i5oNKZ587UQ4vY++ugjCgoKaNu2LREREbi7u992n8GDB/Pdd99x5MiR+g9YjeLiYv1a4K1b33ogy8PDAycnJwoKCkhJSbnp52FhYfpZ4KdOndK/tnv3bgD69+/Ps88+W+2xS0pKKCkp0f87N1eW6BOioRWUlLN0b+Va238f4oeNlczaFvXP4HfZn9uk1PUhjCs0NJTAwECCgoLUjiKEKp4d0B4bK4WDiVc5eiHbaMc9kJDFom1nAfjXuC4EtHA12rHrQ7smjrTxdKCsQsfBxCy14wgTIjVbCGEJxnavbE2+PyGT9NxildMIYXxSr02HrLktTFnfDp4421mTnlfCyYs5ascRQhjgl19+QVEUZs+eXauBbbg+G/r8+fP1mKxmeXl5+ufOzs633d7JyQmA/Pz8m34WGRnJypUrWblyJUePHgUq25dXvVY18F2dhQsX4ubmpn+0aSM3vwrR0FYdSOZqQSk+no48dHcrteOIRsKg6XxqFU9RvZCQEEJCQsjNzcXNzU3tOEI0uBZuDozv0Yp1R1L5YncCyyb3NviY6XnFvLTmGFodTLi7NY/2Nv22KoqiMNCvKd8eusDeuAyGBUiLOiE1WwhhOXyaOHK3jztHL1xj08lLTO/fXu1IQhiN1GshRG3ZWVsxyL8pW05dYkfMFXq0cVc7khDiDiUnJwPQp0+fWu/j6lo58aK6weKGUFx8/SZTW1vb225vZ2cHQFFR0U0/M2RJlDlz5vDKK6/o/52bmysD3EI0oPyScpbtvb7WtszaFg3FoMHttm3bGiuHEEIYxfODOrD+aCrbYq4Qn56Hb7Pq1yeqjQqtjlnfHScjrwR/b2f+Nb6zya6z/VcDqga3z2WqHUWYCKnZxlFcXMzcuXOJjo4mPj6eq1ev4u7uTseOHXn22WeZNGkSNjamu2yBEJZiXI9WHL1wjZ+OX5TBbWFRpF4LIepieGCzysHt2Cu8et9dascRQtyh8vJyALRaba33ycmp7NhQm1nT9cHe3l7/vLS09LbbV7UOd3BwMGoOOzs7/cC5EKLhrdyfRHZhGe2aOPJQT5m1LRqO3EYhhLAovs1cGPHHTOUv9iQadKwlO+I4kJiFo60Vnz11N4625rN29b2+TbDSKJzPLCDlaqHacYSwGPn5+Xz++ecoisKoUaN45ZVXeOihh7h48SLPPPMMo0ePrtMFCSHEnRnVrQVWGoUTqTmczyxQO44QQgihiiF3NcNKo3Dmcp587xPCjDVv3hyAxMTaX8c6fPgwAD4+PvWS6XZcXK5PJqnN7PGCgsq/2dUajBdCGF9ecRlfRvyx1vZQP6xl1rZoQPJuMwEXL17k448/ZuTIkfj4+GBra0vz5s2ZMGEChw4dUjueEGZn5uCOAGw4dpG0aze3O6qNPXEZfLorHoCFD3c1aAa4Glztbbjbxx2Avecy1A0jhAXx9PQkJyeHPXv28OWXX/L+++/z+eefEx8fz+DBg9m2bRtbt25VO6YQFs/L2Y7+vl4AbDx+UeU0QghLFRoaSmBgIEFBQWpHEaJa7o629G7rAcD2mCsqpxFC3KkBAwag0+lYt25drbYvLS1l6dKlKIrC4MGD6zdcDezt7WnSpAkAqampt9w2OztbP7hdXy3DpWYL0fBW7k/iWmEZHbycGNejpdpxRCMjg9sm4NNPP+Xll18mMTGRkSNHMnv2bPr378/GjRu59957Wbt2rdoRhTArd/t40LeDJ+VaHcsj675u4aWcIl5eexydDp66x4dxPcyzpcoAv6YA7I2TwW0hjEWj0VS7npi1tTUPPfQQAPHx8Q0dS4hGqerL80/H09DpdCqnEUJYopCQEGJiYoiKilI7ihA1GhFY2blsR6wMbgthrqZOnQrATz/9xPbt22+5bWlpKZMnTyYhIQFFUZgxY0YDJKxeYGAgUPkduKq1enXOnDmjfx4QEFAvWaRmC9GwcovL+DKi8rr7S8Nk1rZoeLXqsTt06FAAFEVh586dN71+J/56rMasT58+7N69m0GDBt3wekREBMOGDeOFF15g/Pjxsn6IEHXwwmBfDiYe5rvDF3hxiC8eTjcPRlWnrELLi6uPcbWglM4tXXl7dGA9J60/A/2bsnh7HPvjsyiv0MofGY2EKdfs9PR0Dh8+zOHDh4mKiiIqKoqsrCwApkyZQnh4eK2PlZyczCeffMKWLVtISUnBzs6Ojh078thjjxESEoKjo6PBeetCq9Xyyy+/ANClS5cGPbcQjdXIzs2xtzlFYmYBpy/m0rW1m9qRhKg1U67XQgjzMiLQm/e2xHLo/FVyCstwc7RRO5IQoo4GDx7MxIkTWbt2LWPGjGHWrFlMmDBB//OkpCSuXbvGvn37WLZsGYmJiSiKwsyZM+ncubNqufv3709ERAQFBQUcOXKEe+65p9rt9uzZo38eHBzcUPGEEPUofF8SOUVldGzqxJjuMmtbNLxaDW7v3r0bqPyy/NfXFUWp00yJqu3/eqzG7OGHH6729QEDBjBkyBC2bdvGqVOn6N27dwMnE8J8DfTzIrCFKzGXcll1IJlZw/1qtd9/fz3LkeRsXOys+eypu7G3sarnpPWnays33B1tuFZYxvGUa/Ru56l2JNEATLlme3t7G+U4mzZtYtKkSeTm5upfKywsJDo6mujoaMLCwtiyZQu+vr5GOV91SktLef/999HpdGRlZbFz507OnDnDtGnTGDZsWL2dVwhxnbOdNcMDvNl88hIbj1+UwW1hVky5XgshzEvbJk74NXPmXHo+u+PSzbbzmBCNXXh4OHl5efz88898+OGHfPjhh/raPmbMGP12VX8jPPzwwyxZskSVrFXGjx/PwoULAVixYkW1g9tarZZVq1YB4O7uzpAhQxo0oxDC+HKKygj7Y63tl4b5YaWR7yGi4dVqcHvgwIHVflGu6fWGZMmzwABsbCrvuLW2rtX/VUKIPyiKwguDO/L3744Rvv88Mwa2x9H21v8dbfv9Msv2Vhbm/z7ajbZNnBoiar2x0igE+3qx5eQl9p7LlMHtRsKUa/af+fj40KlTJ7Zt21an/Y4dO8bEiRMpKirC2dmZOXPmMGTIEIqKilizZg1ffvklcXFxjBo1iujoaFxcXOolf2lpKfPnz9f/W1EUXn31Vf0XeyFEwxjXoxWbT17ipxNpzHkwQL5UC7NhLvVaCGEeRgR6cy49n+0xV2RwWwgzZWdnx+bNm/nyyy/5z3/+Q0JCQrXbtW7dmrlz5zJz5swGTnizPn36MGDAACIiIli+fDlTpkyhX79+N2yzaNEiYmNjAZg1a5b+WrexhYaGEhoaSkVFRb0cXwhx3Yp958ktLse3mTOju8msbaGOOs3cru3rDcmSZoH91YULF9ixYwctWrSga9euDXZeISzFA12a07aJI8lZhayNSmFacPsat025Wsir604AML1/e+7v0qKhYtarQX5NKwe34zJ4ZYS/2nFEAzDlmj1v3jyCgoIICgrC29ubpKQk2rev+b/L6syaNYuioiKsra3Ztm3bDV+chw4dip+fH6+//jpxcXEsWrSId95556ZjzJ49m5KSkjqd08/vxu4Pzs7O6HQ6tFotaWlpbNq0iblz53LgwAF+/vlnXF1d6/R7CSHuzCD/prg52JCeV8KhxCzu9fVSO5IQtWLK9VoIYX6GB3rz2e4E9pzNoLRci621LEklhLmaMWMGM2bMICYmhujoaNLT06moqKBJkyb07NmTu+++22g3wkVGRhIfH6//d2Zmpv55fHz8TZPGqtYG/7MlS5YQHBxMUVERI0eOZO7cuTfcgL5s2TIA/P39mT17tlFyVyckJISQkBByc3Nxc5OOTkLUl5yiMpZHVq61PUtmbQsVWdR0YHOfBfZnZWVlPP3005SUlPDBBx9gZWW+rZGFUIu1lYbnBnbgzf+d5su9iUzq2xabatadLimvIGT1UXKLy+np484b93dSIW39GOBfeZH/ZOo1rhWW4u5Yu7XHhagPf57pfCcOHz5MREQEANOnT7/pjnCoHLhesWIFsbGxLFmyhDfffPOmO8OXLl1KQUFBrc/7yCOP3DS4XUWj0dC6dWteeOEFvLy8eOyxx1iwYAEffPBBHX4zIcSdsrXW8GDX5nx3OIWNx9NkcFsIYVQyC0yYix6t3fFytiUzv5TD56/S30/qoRDmLjAwkMDAwHo9R1hYGCtXrqz2Z/v27WPfvn03vFbd4HbPnj1Zu3atftLY3Llzb9rG39+fLVu2NMg1dSFE/VoeeZ684nL8vZ0Z1dUyJocJ82T2g9uWNAusilarZerUqezdu5cZM2bw9NNP1+n3EUJcN+Hu1ny0/RxpOcX8dDyNCb1a37TNgi2xnEzNwd3Rhv/35N0WdZd7CzcH/fpr++KzGNVN/ugQ5mvDhg3659OmTat2G41Gw+TJk5kzZw7Xrl1j165djBw58oZt8vPz6yVf1Xlk1p0QDWtcj1Z8dziFn09fYv64ztjbyE2hQgjjkFlgwlxoNArDOnmzNjqF7TGXZXBbCNGgxowZw8mTJ1myZAlbtmwhNTUVW1tbfH19efTRR3nxxRdVWe5TCGFc2QWlrNDP2vZHI7O2hYrqZXC7vLyc7OxsADw8POp1vWhLmwWm1Wp55plnWL16NZMmTeKLL76o428khPgzexsrnunfjv/8cpYv9iTwUM9WNxTeTSfSWHUgGYCPJvaglbuDWlHrzQC/ppxLz2dvXIYMboubNGTNNlRkZCQATk5O9OrVq8btBg0apH++b9++mwa360taWhpAva0hJoSoXp92njR3tedybjG7z2Zwf5fmakcSwujMqV4LIdQxIrBycHtHbDrvjNUZrW2xEMJyhYeH39R6/E61bduWxYsXs3jxYqMcr66k24oQ9W9ZRCJ5JeV0au7CA/K9W6jMaN+IY2Ji+OKLL9ixYwdxcXHodDoAFEXBz8+P4cOH8/zzz9OlSxdjndIoTGkWmFarZdq0aaxatYonnniC8PBwNBrLmUEqhFom9W3L57sSOJeez29n0hke6A1AYkY+//jhJAAhQzoy5K5masasNwP9vfhq33kizmWg08lFDmG+NTs2NhYAX1/fW17U79Tp+tICVfsYS0xMDO3atbvprvPCwkJeeeUVAB588EGjnlMIcWsajcLYHi1ZtjeRn05clMFtYTHMtV4LIdQR7OuFvY2Gi9eKiL2UR2BLV7UjCSFq6d13363zPoqiYG9vj5ubG35+fvTq1QtX18b73710WxGifmXklRC+LwmA2SPvklnbQnUGD25rtVpee+01PvnkE7Rarf4LdxWdTsfZs2eJi4vjiy++4MUXX2TRokUmM2hrKrPA/jywPXHiRL7++mtZZ1sII3G1t+Gpvm35Yk8Cn+2OZ1hAM0rKtfzt26MUlFZwT3tPXh7ur3bMenNP+ybYWmtIyykmISMf32ayxlFjZc41u7i4mMzMTABat755eYE/8/DwwMnJiYKCAlJSUoya4/vvv2fx4sX079+fdu3a4erqysWLF9m6dStZWVkMGDCAl19+ucb9S0pKbljGJDc316j5hGisxv0xuL0jNp3c4jJc7aWDgjBf5lyvhRDqcbC1or9vU3bEXmFH7BUZ3BbCjLzzzjsGT0SwsbFh3LhxLFiwAF9fXyMlE0KISp/vTqCorILurd0YHmCZE8SEeTF4cPvJJ59k3bp1+i/cnTt3pk+fPnh7V86MvHLlClFRUZw+fZqKigo++eQT0tLSWLt2raGnNgpTmAVW1Yp81apVPProo3zzzTcysC2EkT0T3I6v9p3n6IVrRCVls/5ICmcu5+HlbMunT/TE2spyLwY62FrRp50nkfGZ7InLlMHtRsyca3ZeXp7+ubOz8223rxrcNvb62qNHjyYtLY39+/dz4MAB8vPzcXNzo1u3bjz++OM888wzt/x7YuHChQYvqSKEuFlgC1d8mzkTn57Pr6cv82jvNmpHEuKOmXO9FkKoa0RgM3bEXmF7zBVeGnbzUnhCCNP15w4tf72x7a+q26a0tJT169ezZcsWNm7cyLBhw+otqxCicbmUU8Q3hyqX9Zw98i7pCipMgkGD22vWrOH7779HURS6d+/OsmXLCAoKqnbbqKgoZs6cybFjx1i/fj1r1qzh8ccfN+T0BjOVWWDvvvsuK1euxNnZGX9/f957772bthk/fjw9evSodn+ZBSbE7TVzteeRXq1ZfegCs9Yc41JOMYoCnzzek2au9mrHq3cD/b2IjM8k4lwG0/u3VzuOUIEl1Owqtra2t93ezs4OgKKiIqPm6N27N717977j/efMmaNvXw6VNbtNGxmEE8JQiqIwrntLFm2P46cTaTK4LcyWuddrIYS6hnbyRlFOcepiDpdyimjh5qB2pForLddiY6XIBXPRKGm1Wi5cuMDEiRM5dOgQDz30EJMnT6Z37940bdoUgIyMDKKjo1m5ciUbNmzgnnvuYfXq1Xh6enL69GlWr17NsmXLKCws5JFHHiE+Pp4mTZqo/JsJISzBp7/FU1qupU87Twb4eakdRwjAwMHtZcuWAeDv709kZCROTk41bhsUFMTevXvp3bs3Z8+eZenSpap/8TaVWWBJSUlA5brdCxYsqHabdu3a1Ti4LbPAhKid5wZ0YM3hC1zKqRwke3m4P/f6No6CPMCvKXCGg4lZFJdVYG8j3SEaG3Ov2fb2129CKS0tve32VTd9OTiY1gU9Ozs7/cC7EMK4xvVoxaLtceyLzyQ9r5hmLpZ/85qwPOZery1NaGgooaGhVFRUqB1FiFpp6mJHzzbuHL1wjZ2x6Uzq21btSLdUXqFl55l0vj10gb1xGXRq7sLbowMJbiTf04WokpeXx8iRI0lMTGTdunVMmDDhpm1atWpFq1atGDduHD/88AOPP/44I0eOJDo6muDgYIKDgxk7diyjR48mNzeX0NBQ5s2bp8Jvow6p2ULUjwtZhXwfVTnZc/ZIf7kJTZgMg/rwnjhxAkVReOONN275pbuKk5MTb7zxhn5ftZnKLLDw8HB0Ot0tH1OnTq1x/zlz5pCTk6N/GHtmuRCWop2XEw92bQHAQP+mvDik8axB1Km5C81c7Cgu0xKdlK12HKECc6/ZLi7X2+nX5iazgoICoHY3r6khNDSUwMDAGmfjCSHqzqeJIz193NHqYPOJS2rHEeKOmHu9tjQhISHExMQQFRWldhQham14YOUSBjtir6icpGZXcotZsuMcA/6zi+e/PsLeuAwAzlzO46mwQ8xYFU1SZoHKKYVoOB9//DFxcXG88MIL1Q5s/9WECROYOXMmCQkJLFq0SP/6fffdx1NPPYVOp2Pr1q31GdnkSM0Won4s2XmOcq2OAX5e3NNBukEI02HQ4HbVzKlu3brVep+qbcvKygw5tVFY0iwwV1fXGx5CiOotGN+V9x/qSuiTPdFoGs+dZoqi/DF7GyLOZaicRqjBEmp2VUu11NTUW26bnZ2tH9w21Zbf8sVbiPoxrntLADaeSFM5iRB3xtzrtRBCfSP/GNzeH59Ffkm5ymmu02p1RJ7LZObXR7j337/x0Y44LuUU4+lky8xBHdn89/5MvbcdVhqF7TFXGPHRHhb+HEtesXy2Ccu3bt06FEXhoYceqvU+VYPgP/744w2vjxs3DoD4+HjjBRRCNErx6fn871jlNbjZI+9SOY0QNzJocLtt28r2Rjk5ObXep2o96Kp91SSzwIRofNwcbXjyHh9c7G3UjtLgBvpXtnbbEyeD242RuddsgMDAQKDyS3p5ec0X6s6cOaN/HhAQUO+5hBCmY1S3llhpFE6kXJMZX8IsWUK9FkKoq2NTZ9o1caS0QkuECXz3yy4o5cu9iQxbvIdJyw/xy++XqdDqCGrnwZLHe3BgzlD+8UAnurRy452xnfll1gAG+jelrELH0r2JDPlwN2sOX6BCq1P7VxGi3pw/fx6gThOWqrZNTk6+4fWqvweq/j4QQog79fGOOLQ6GB7gTY827mrHEeIGBg1uT5gwAZ1Oxw8//FDrfdavX1/nO9Hqi8wCE0I0Jv19vVCUylZv6bnFt99BWBRzr9kA/fv3BypvNjty5EiN2+3Zs0f/PDg4uN5zCSFMR1MXO/06nRuPy+xtYX4soV4LIdSlKArDAypnb29XqTW5Tqfj6IVsXvn+OPcs3MmCn2M5n1mAs501k/u15df/G8i6mfcyrkcr7KytbtjXz9uFldOC+Gpqbzp4OZGZX8o/fjzFmE8jOZSYpcrvI0R9s7GpnIBx+vTpWu9TtW3VvlW0Wi0A7u7uxgknhGiUYi/lsvlk5XJfr4zwVzmNEDczaHD7lVdeoUOHDixdupTvv//+ttuvX7+epUuX0r59e1599VVDTm00MgtM/P/27jwuqqr/A/jnDsO+g4g7LoBK7oI7KmpULqVlWmmCe4X9fMriSXtSW8ystKyHStPEJbPdXNLHNERUjEXMDQVUFkVlkX2Hub8/iEliG2CYe2f4vF+veXnlnnvPd2bu3O+dOfecQ9RaOFqZok8HWwBAWHyGxNGQrhlCzp46dap6edu2bbWWUalU2LFjB4DKL/M+Pj66CK3RONoKUcv5e2jyWxBF9vIi/WII+ZqIpFc17/bvV9JQXqHSWb0FJeX4+o8kTPzkJB7/7DR+OnsLpeUqPNDBBmsf74s/VozHW4/1Qc921vXuRxAEjOvljMP/Go03JnvA2kyJy7dzMXPzGbzwdTRS7hXq6BkR6Ua/fv0giiI+/PBD9bSY9SkuLsYHH3wAQRDQt2/fauuuXbsGAHBycmqRWImoddjwWxwAYFK/9vDowGlwSX6a1bhta2uLo0ePYtCgQXj66acxdepU7N27F7du3UJZWRnKy8tx69Yt7N27F9OmTcPMmTMxaNAgHDt2DLa2ttp6Ds1iSL3A+EM5ETXE262yN9sJzrvd6hhCzh4yZAi8vb0BAFu3bkV4eHiNMuvXr0dsbCwAYOnSpTXuYpcLjrZC1HJ8H3CGqVKB6+kFuJTK4RhJvxhCviYi6Xm62MPOwhjZhWWITspq8fqu3MnFf/ZewNB3j+H1ny8i9nYuTJUKPDGoE35+YQQOvDgKTw/pAktTZaP2a6JUYP6obgh91Qezh3WBQgB+vXAH4zeE4v3DV2Q1pzhRc8ybNw8AcOnSJUyYMKFaJ6t/io2NxYQJE3Dp0iUAwPz586utP3r0KARBQP/+/VsuYBni7+JE2vNnSjZ+u3wXCgF4aYKb1OEQ1UoQm9Gdwcjo76GDRFGEIAj1ltekjCAI9fagbkhiYiK6desGAPDz80NwcHC95SMiIjB06FAAwOLFi/HFF1/UKKNSqdCnTx/ExsbCzs4OaWlpsv2xHKicU8XW1hY5OTmNmquFiAzfmeuZeGrzGThamiDy9QlQKOo/J1PTye1cLIecffLkSSQkJKj/n5GRgVdffRVA5Y1jCxYsqFbe39+/xj5iYmIwcuRIFBUVwcrKCitWrICPjw+KioqwZ88ebN68GQDg7u6OqKgoWFvX3ytEanI7TogMRcDuszh4/jYWjOqG/0z2kDockjG5nYflkK+pJrkdJ0SaePnbc/gp5hYWenfD65O0nwuLyypw+OId7DqThKj7GtC7t7HEM0O7YPrgTrCzMNFqnVfu5OLtA5dxKqFyePK21qYIfLgXHh/Ykd9tWwFDPxdPnToV+/btU+f1gQMHYvDgweoe2Onp6YiOjkZMTAyAymuAKVOm4JdfflHvIycnBy4uLsjNzcX27dvx7LPP6v6JSMzQjxMiXZjzVQROxKXj8UEdsWHGAKnDIT2jq/Nw426Z/Id/totr0k4ut6EBq3qBhYWFYevWrfDz88Pw4cOrldGXXmBERA0Z1MUeliZGyCwoxeXbuejTkT18Wgs55OwtW7Zg+/btta47deoUTp06Ve1vtTVuDxw4EN9++y1mz56N3NxcrFixokYZd3d3HDx4UNYN20FBQQgKCkJFRYXUoRAZpMf6d8DB87ex/3wqlk/sDSP+4E16Qg75mogMwwQPZ/wUcwu/Xb6LFRN7N3gjjKaSMguw+49kfB99E/cKSgEASoUA3wecMWuoC0b0cNRaXf/Uq50Nds0fit8u38WaX2ORlFmIV77/EzvDE7FyigcGuzi0SL1EuvDDDz/g//7v/7Bp0yaIooiYmBh1Q/b9qm5sW7RoET799NNq68rLy9WN3Z6enjqJm4gMS8SNezgRlw6lQsDS8ey1TfLVrMbtVatWaSuOJqutF1iVhISEGj23a/uhfOPGjepeYL6+vvX2Alu2bFmLPA9t4A/lRNQQE6UCw3s44mhsGk7Ep7NxuxWRQ87WlilTpuD8+fPYuHEjDh48iJs3b8LExASurq548sknsWTJElhYWEgdZr0CAgIQEBCgvpuRiLRrTE8n2JgpcTe3BH/cyMSIHm2kDolII4aUr4lIWqPdnWBipEBiZiGupefDtW3Tb/wsr1Dh2JU0fP1HMk7E/T3FVXtbMzw9pAue8uqMtjZm2gi7QYIgwPeBdhjT0wnBpxLx6e8J+PNmDp74PByP9u+A1x7phQ525jqJhUiblEolPvvsMyxatAibN2/G0aNHq/3mDQA9evTA+PHjsWjRIgwaNKjGPhwdHTFmzBhdhUxEBkYURXx45CoA4EnPznBxtJQ4IqK6NWtYcjnw9/evsxdYbep6uvv371f3AqtNVS8wV1fXJsWpSxx+hYjqsyM8ESt/uYRh3R2wZ9HwhjegJuG5mDTB44So5Sz/6Ty+iUjBTM/OWDe9n9ThkEzxPEya4HFC+srvqwiExqXj3w/3wvNjezR6+7u5xdgTkYI9kcm4nVMMABAEYLSbE2YPc4FPTycojRTaDrtR0vNK8OH/ruK76BSIImBmrMDi0T3w3JgeMDcxangHpDda47m4pKQE2dnZAAA7OzuYmppKG5AeaI3HCZG2nIzPwOytf8DESIHjr47lzWLUJLo6D0t7BSojVb3AXnrpJbi7u8PCwgJ2dnbw9PTEunXrEBMToxcN20REDfF2q5yvKTopCwUlnH+RiIgM06P9OwIAfr14GyXlHNmIiBovKCgIHh4e8PLykjoUoiaZ4OEMADgae1fjbVQqESfjM/DczmiMeO93fHQ0DrdziuFgaYLnxvRA6Cs+2D5vCB70cJa8YRsAnKxNsW56P+xfMgpDujmguEyFjcfiMW79ceyNucWpG0ivmZqawtnZGc7OzmzYJqIWdX+v7WeGdmHDNsme3vfcppp4hxoR1UcURYz+IAQp94qw1c8T43s7Sx2SQeK5mDTB44So5ahUIka89zvu5BZj07OD8dAD7aQOiWSI52HSBI8T0le3c4owfO3vEAQgYsUEOFnX3TiWVVCKH6JvYndEMm5kFKj/7tXVHrOHueDhPu1gqpR3T2hRFHHo4h28+2ssbmYVAQAGdrHDqikPYEBnO2mDo2bjuZg0weOEqGmOxd7F/O1RMDNW4ESgD9pa62a6ETI8ujoPN2vO7X8qLy/H2bNnceHCBdy7dw8A4ODggD59+mDQoEEwNjbWZnX0D5xzm4g0IQgCvN2csPuv+dLYuN06MWdLizmbqOUpFAIeHdABm09cx75zqWzcJr3EfE1EzdHe1hx9O9riwq0chFxJwwyvztXWi6KImJRs7DqThAPnb6O0XAUAsDJV4vFBHTFrqAt6tmv6XN26JggCJvZtj3G92mLryRsICklATHI2pgadwuMDOyLw4V5oZ8sf64kMEb9jEzWdSiVi/ZE4AIDfiK5s2Ca9oJWe2wUFBXj77bexdetW9Rfuf7K3t8f8+fPxn//8B9bW+nNhrI94hxoRNeTwxTt4blc0urWxRMgrY6UOxyDJ9VzMnC0vcj1OiAzFxVs5mPzpSZgqFYj6zwRYm7EhkKqT63mY+Vpe5HqcEGli49F4fHQ0Dg96OOPLOZ4AgIKScuw9dwu7ziQj9nauuuwDHWwwe5gLHu3fAZamWu0PI4m7ucV4//BV/Hj2JgDA3NgIL4ztgYWju8PMWN690KkmQzgXjxs3DkDljRjHjh2r8fem+Oe+WjtDOE6IdO3XC7fxwtdnYWWqRFigD+wtTaQOifSYrs7DzW7cvnr1Kh5++GEkJyc3OI+NIAjo3Lkz/ve//6Fnz57NqZbqwSRORA3JLS7DwLd+Q4VKRFigDzo7WEgdksGR47mYOVt+5HicEBkSURQxYUMorqUX4MMn+2P64E5Sh0QyI8fzMPN18926dQvff/89fv31V1y5cgV37tyBg4MDRo4cicDAQAwdOrRR+5PjcUKkqUupOZj0yUmYGSuwZ9Fw/Bh9Ez/H3EJ+STkAwFSpwJT+HTBraBcM6GwHQRAkjlj7/kzJxlsHLiM6KQsA0NHOHMsn9sKkvu0N8vkaKkM4FysUlfPUC4JQrYexQqGAIAiNmiO+qvw/99XaGcJxQqRLFSoRD318Aglp+Vg63g0vPegudUik5/RiWPKcnByMHz8et2/fhiiK6NOnD/z8/DBkyBA4O1cOc3v37l1ERkZi+/btuHDhApKTkzFhwgRcvHgRtra2WnkSRETUODZmxhjY2Q5RSVk4EZ+OWUNdpA6JWhhzNhG1RoIg4LEBHbHhtzj8cu4WG7dJ9pivtePTTz/FunXr0KNHD/j6+sLJyQnx8fHYu3cv9u7di927d2PmzJlSh0mkEx7tbdDRzhy3soswNeiU+u/d21jimaFdMH1wJ9hZGHYPrf6d7fDDc8Ox789UvHfoCm5lF2HJ7hjs6JqElVM80Kcjz52kG6NHj671hoq6/k5E1NL2/XkLCWn5sDU3xnzvblKHQ6SxZvXcXrFiBd577z0IgoC33noLK1asqDMRi6KItWvX4j//+Q8EQcC///1vvPvuu00OnGq6f26RuLg43qFGRPX65Fg8NvwWh4cfaIcvnh0sdTgGR253CzNny5PcjhMiQ5SUWYAxHxyHQgDOrBjP+cOoGrmdh5mvteOnn36Co6MjxowZU+3vYWFhGD9+PKysrHD79m2YmppqtD+5HSdEjbXm4GV8GXYDSoUA3wecMWuoC0b0cGyVjWlFpRXYdOIavgi9huIyFQQBeHJwJ7zyUE9eI8gcz8WkCR4nRJorq1BhwoZQJGUWIvDhnnhhrKvUIZEB0IthyXv37o24uDjMmDED33zzjUbbPP300/j222/Rs2dPxMbGNrVqqgeTOBFpIiY5C9M+Ow1rMyVi3ngQSiOF1CEZFLmdi5mz5UluxwmRoZoadArnUrKxaooH5o7k3ej0N7mdh5mvW95DDz2EI0eOIDIyEp6enhptI7fjhKixissqEHIlDYNd7NHWhg24AJCaXYR1h6/gl3OpAAArUyUCfFwxb1RXmCo5H7cc8VxMmuBxQqS5byKSsfynC2hjZYITgT6wMGnWQM9EAHR3Hm5WS0ZSUhIAwN/fX+NtqspWbUtERNLo18kOdhbGyCsux7mUbKnDoRbGnC0vQUFB8PDwgJeXl9ShELUKjw3oAADqH7CJ5EoO+TotLQ0HDhzAypUr8cgjj6BNmzYQBAGCIDQqrqqYli1bhl69esHS0hIODg7w8vLCBx98gMLCQq3E21jGxsYAAKWSP95R62FmbIRH+rZnw/Z9OtiZY+NTA/Hj8yPQv5Mt8kvKse7wFTy44QQOX7zTqLmPiYiI9E1xWQU+ORYPAHh+rCsbtknvNKtx29raGgDQtm1bjbepKmtlZdWcqomIqJmMFAJGurYBAJyIz5A4GmppzNnyEhAQgMuXLyMyMlLqUIhahcn9OkAhAOdSspGYUSB1OER1kkO+dnZ2xpQpU/D222/j8OHDyMzMbNJ+9u/fj379+mHDhg24evUqCgsLkZWVhaioKAQGBmLgwIFISEjQSsyaSk5OxtGjR9G+fXv07dtXp3UTkTwNdrHHzy+MxPon+6OttSmS7xXiuV3ReObLPxB7O1fq8MgAvfzyy3j55ZeRlpZW6/qKigokJycjOTm53v1cv34dgwYNwuDBnGaOiBpvT0QybucUo52NGWYN7SJ1OESN1qzG7aovg/Hx8RpvU1WWXySJiKQ32u2vxu24dIkjoZbGnE1ErZmTtan6hq59f7L3NsmX3PJ1ly5d4Ovr2+jtYmJiMHPmTOTm5sLKygpr1qzB6dOncezYMSxcuBAAEBcXh0mTJiEvL0/bYdeqrKwMzz77LEpKSrBu3ToYGXHYYSKqpFAIeGJwJ4S8MhZLfFxholQg/HomJn0ShhU/X0BmfonUIZIB+fjjj7Fx40ZkZNTeyeDKlSvo2rUrunfvXu9+ioqKcO7cOZw7d64FoiQiQ1ZUWoH/hlwDACwZ5wozY14Xk/5p1lgDixcvxu+//46PP/4Y06dPh0JRf1u5SqXCRx99BEEQsGjRouZUTUREWjDa3QkAcP5mNrILS2FnYSJxRNRSmLOJqLV7bEBHhMVnYO+5W3hxnCsEQZA6JKIa5JCvV65cCS8vL3h5ecHZ2RmJiYno1q1xc9UvXboURUVFUCqVOHLkCIYPH65eN27cOLi5uSEwMBBxcXFYv349Vq9eXWMfy5YtQ0mJ5g1KS5cuhZubW63rVCoV/P39ceLECSxcuBDPPvtso54PEbUOlqZKvPJQT8z06oz3Dl3BwQu3sfuPZOz/MxVLx7thzvCuMFE2q58QkcY4ND4RtZQd4YnIyC9BJ3tzzPDsLHU4RE3SrMbtJ598EocPH8a2bdswdepUbN68Ge3atau17N27d7F48WL88ccfmDt3LmbOnNmcqqkWQUFBCAoKQkVFhdShEJGeaG9rDre2VohPy8ephExM6tde6pCohTBnE1Fr99ADznj9ZwWupxfgUmou+nS0lTokohrkkK/ffPPNZm0fERGBsLAwAMD8+fOrNWxXWbZsGbZt24bY2Fhs3LgRr7/+unou7CqbNm1CQYHm0whMnz691sZtlUqFefPmYffu3Zg9eza++OKLRj4jImptOjtYIGjWIMy5nom3DlzGpdRcvHMwFocu3sF3i4fDSMEb5Ijkhr+LE2kmr7gMX4RW9tpeOt6NN22R3mpW4/aOHTswZswYXLx4EQcOHED37t3h6+sLLy8vtG3bFoIg4O7du4iMjMSRI0dQUlICLy8vjBkzBjt27Khzv3PmzGlOWK1WQEAAAgICkJubC1tb/lhHRJrxdnNCfFo+TsSls3HbgDFnE1FrZ21mjAm9nXHwwm38cu4WG7dJlgwhX+/du1e9PHfu3FrLKBQKzJkzB8uXL0d2djZCQkJqDH+en5/f7FhUKhXmzp2LHTt24Omnn0ZwcHCDveGJiKoM7e6IfUtG4cfom3jrwGVEJ2Xh0MXbmNyvg9ShEdE/8HdxIs1sO5WIrMIydG9jiWkDO0odDlGTCWIzxjhRKBTVhvMTRbHO4f3qW1ctIEFAeXl5U0MiQJ3Ec3JyYGNjI3U4RCRzx6+mwX9bJDrYmuHUa+M4TKuWyO1czJwtL/ffVR4XFyeb44TI0P3v0h0s3hkNZxtTnH5tPHteEfO1Bu4fltzPzw/BwcH1lh89ejTCwsJgaWmJ7OxsKJW131MfHh6OESNGAKgcCr25Pcb/6f6G7ZkzZ+Lrr79u8jzbcjtOiEj3PvotDhuPxaNXO2scWurN780SMJRzcVWuv3DhAjw8PGqsv3TpEvr27QtBEOrthaxpudbGUI4TopaQXVgK73UhyCspxydPD8Sj/XmzFmmfrs7Dzb5lWRRF9eOf/9d0XW1liYhIN4Z2c4SJUoHUnGJcS29+DxmSL+Zs+QgICMDly5cRGRkpdShErcrYnk6wMVPibm4JIm7ckzocolrpe76OjY0FALi6utbZsA0AvXr1qrGNtlQNRb5jxw48+eST2LVrV5MbtomIAGDuyK6wNDHClTt5OBabJnU4REREjfZl2HXklZSjp7M1Jvfl6J2k35o1LPmNGze0FQcREUnE3MQIQ7o64GRCBkLjMuDa1lrqkKgFMGcTEQGmSiNM7NseeyJT8Mu5Wxjew1HqkIiq0fd8XVxcjIyMDABAp06d6i1rb28PS0tLFBQUICUlRatxvPXWW9i+fTusrKzg7u6Od955p0aZqVOnYsCAAVqtl4gMl52FCWYPd8Gm0Ov4b0gCxvduy97bRESkNzLyS7DtVCIA4GVfdyg4ihnpuWY1bru4uGgrDiIiktBo9zY4mZCBsPh0zB/VTepwqAUwZxMRVXp0QAfsiUzBrxdu483HHoCpkr05ST70PV/n5eWpl62srBosX9W4rY35te+XmJgIoHLe7jVr1tRapmvXrnU2bpeUlKCkpET9/9zcXK3GR0T6acGo7gg+lYhzKdk4fS0TI13bSB0SERGRRr44fg2FpRXo18kWvh7OUodD1GzNHpaciIj0n7ebEwDgzPVMFJdxriYiIjJcQ7s5wtnGFLnF5Qi9mi51OEQGpbi4WL1sYmLSYHlTU1MAQFFRkVbjCA4ObnCodn9//zq3X7t2LWxtbdWPzp07azU+ItJPTtameHpIFwDAp7/HSxwNERGRZu7kFGPnmSQAwDLfnhx5hAxCs3puk7wEBQUhKCgIFRVsmCKixunVzhpO1qZIzytBdFIW70AnIiKDZaQQ8Gj/Dvgy7AZ+OZcK3wfaSR0SkcEwMzNTL5eWljZYvqp3tLm5eYvF1BTLly/Hyy+/rP5/bm4uG7iJCACwaHR3fP1HEs5cv4fopHsY7OIgdUikpz777DO0bdu2xt/T0v6e0/2tt96qc/v7yxER1ScoJAEl5Sp4dbXHaDf+5kuGQWuN2xUVFdi7dy+OHj2Kixcv4t69ewAABwcH9OnTBxMmTMDUqVNhZMRh/1pKQEAAAgICkJubC1tbW6nDISI9IggCvN3a4Kezt3AiLp2N2waOOZuIWrvHBnTEl2E3cDT2LvKKy2BtZix1SEQ16GO+tra2Vi9rMtR4QUEBAM2GMNclU1NTmJqa8gZyIqqhg505Hh/YCd9GpeC/vydg29whUodEeurzzz+vc11Vr8o333xTV+EQkYFKuVeIPZHJANhrmwyLVhq3Dx8+jEWLFuHWrVvqv4miCKAyGZ8+fRqbN29Gp06dsHnzZjz00EPaqJaIiLRojLsTfjp7C6Fx6Vg+sbfU4VALYc4mIgIe6GCD7k6WuJ5egCOX7uKJwZ2kDomoGn3N12ZmZnB0dERmZiZu3rxZb9msrCx147Zce0XzBnIiqs3zY3vg++gUhFxNx8VbOejTkecHapyqnE5E1NI+/T0eZRUiRrm2wbDujlKHQ6Q1zW7c3rlzJ+bOnauetwoAunbtinbtKof3u3PnDpKSkiCKIlJSUjBp0iRs374ds2bNam7VRESkRaP+6q195U4e0nKL0dbGrIEtSN8wZxMRVRIEAVMHdMSG3+Lwy5+pbNwmWdH3fO3h4YGwsDAkJCSgvLwcSmXtPztcuXJFvdy7N2+sJCL90bWNJab074BfzqUiKCQBn88eLHVIpEdCQkKkDoGIWonr6fn48WzlzbIv+7pLHA2RdjWrcTspKQmLFi2CSqWCpaUlli9fjgULFtSYLyQ9PR1btmzB2rVrkZ+fj4ULF8Lb2xtdunRpVvBERKQ9jlam6NPRBhdv5SIsPoM/9BsY5mx54TCnRNJ7tH8HbPgtDifj05GeVwIna1OpQyIyiHw9atQohIWFoaCgANHR0Rg6dGit5UJDQ9XLI0eO1FV4jcJ8TUR1eWGsK345l4rDl+4gIS0Prm2tG96ICMCYMWOkDoGIWomNx+JRoRIxvldbDOpiL3U4RFqlaM7GGzduRElJCaysrBAWFoYVK1bU+NINAE5OTli+fDnCwsJgZWWFkpISbNy4sTlVExFRCxjt5gQACItPlzgS0jbmbHkJCAjA5cuXERkZKXUoRK1W1zaW6N/ZDioROHg+VepwiAAYRr6eOnWqennbtm21llGpVNixYwcAwM7ODj4+ProIrdGYr4moLj3bWeOhB5whisBnIdekDoeIiKiaq3fysO/Pyu+5Lz3IXttkeJrVuH3kyBEIgoBXX30VAwYMaLB8//798corr0AURfzvf/9rTtVERNQCvNWN2xlQqTgHlCFhziYiqmnqgA4AgF/+ZOM2yYMh5OshQ4bA29sbALB161aEh4fXKLN+/XrExsYCAJYuXQpjY2OdxkhEpA1LfNwAVF5HJGcWShwNUesWFBQEDw8PeHl5SR0KkSx89FscRBGY2Lcd+nS0lTocIq1rVuN2cnIyAGDChAkab/Pggw9W25aIiORjsIs9LE2MkFlQisu3c6UOh7SIOZuIqKZJ/dpDIQAxydlIyiyQOhwiWeTrkydPIjg4WP344Ycf1OsSEhKqrQsODq51Hxs3boS5uTnKy8vh6+uLtWvX4syZMwgJCcHixYsRGBgIAHB3d8eyZcu0EjcRka717WSL0e5OqFCJ+DyUvbeJpMTRVoj+duFmDg5fugNBAF6awF7bZJiaNed21bxTRkZGmleorKxSpVI1p2oiImoBJkoFhvdwxNHYNJyIT+edfQaEOZuIqKa21mYY6doGYfEZ2HcuFS+Od5M6JGrl5JCvt2zZgu3bt9e67tSpUzh16lS1v/n7+9coN3DgQHz77beYPXs2cnNzsWLFihpl3N3dcfDgQVhby3eeWs65TUQNWeLjihNx6fgx+ib+b7wr2tuaSx0SERG1cht+uwoAmDqgI9yc5XutTdQczeq53bFjRwDA6dOnNd6mqmyHDh2aUzUREbWQqqHJT8Rx3m1DwpxNRFS7R/tXnuP2nrsFUeSUHCQtQ8rXU6ZMwfnz5/HSSy/B3d0dFhYWsLOzg6enJ9atW4eYmBi4urpKHWa92AuMiBoypJsDhnRzQGmFCptPXJc6HCIiauWik+4h5Go6jBQClvLmbTJgzWrc9vHxgSiKeO+995Ca2vA8dampqXjvvfcgCALGjRvXnKqpFpxbhIi0YbR7ZeN2dFIWCkrKJY6GtIU5m4iodg/3aQcTpQLX0gtwKZVTcpC05JCvg4ODIYqixo/6uLi4YMOGDbh69SoKCgqQlZWFyMhIBAYGwsLCQivxEhFJbYlP5Y0630QkIyO/ROJoiIioNfvwf3EAgCcHd0LXNpYSR0PUcprVuP3iiy9CoVAgPT0dQ4cOxQ8//FDrcF0qlQo//PADhg8fjrt370KhUGDJkiXNqZpqwbvKiUgbujpaoLODOcoqRJy5nil1OKQlzNlERLWzNjPGhN5tAQD7/my4MZGoJTFfExHpH2+3NujXyRbFZSp8dfKG1OEQEVErdTohA+HXM2FipOCUW2TwmjXndp8+ffD222/j9ddfR2pqKmbOnAk7OzsMGjQIbdu2hSAIuHv3Ls6ePYvs7Gz1Xd1vv/02+vTpo5UnQERE2iUIArzdnLD7j2SciEvH+N7OUodEWsCcTURUt0f7d8SvF+5g37lUvPZwLygUgtQhUSvFfC0vnHObiDQhCAKW+Lhi0c5o7AhPwuLRPWBrYSx1WERE1IqIoogPj1TOtf3M0C7oaGcucURELatZjdsAsHz5ctja2iIwMBCFhYXIysrC77//Xq1M1RduCwsLfPDBB3j++eebWy0REbWg0X81bofFZ0gdCmkRczYRUe18ejnB2kyJO7nF+OPGPQzv4Sh1SNSKMV/LR0BAAAICApCbmwtbW1upwyEiGZvQ2xk9na1x9W4etocn4v/YY46IiHTo+NV0nE3OhpmxAi+M7SF1OEQtrlnDkld54YUXkJiYiHXr1uHBBx9Eu3btYGJiAhMTE7Rr1w4PPvgg1q1bh8TERH7pJiLSAyNcHWGkEHA9owAp9wqlDoe0iDmbiKgmU6URJvZpDwDY9+ctiaMhYr4mItI3CoWAF3wqGxO+OnUDBSXlEkdEREStxf29tv2Gd0VbGzOJIyJqeYJYdcs3Saa4uBgrVqxAVFQUEhIScO/ePdjZ2aFHjx5YsGABZs+eDWNjzYczqrqrPCcnBzY2Ni0YOREZsumfn0ZUUhbWTOuDWUNdpA5H7/BcTJrgcUIkH6cTMvDMlj9ga26MiNfHw1RpJHVIpAM8D5MmeJwQkSYqVCImbAjFjYwCrJjYC4tGs+ecNvFcTJrgcUKt0eGLt/HcrrOwNDFC2L/HwcHSROqQqBXT1XlYKz23qXny8/Px+eefQxAETJo0CS+//DKmTZuGW7duYd68eZg8eTJUKpXUYRJRKzPa3QkAEBbHocmJtC0oKAgeHh7w8vKSOhQi+svQ7o5wtjFFTlEZTjD3ERGYr4mocYwUAp4fU9mg/WXYDRSXVUgcEZH+iIyMxMSJE2FnZwdLS0sMGzYM3333ndRhEclehUrEht/iAADzR3Vjwza1Gs1q3O7WrRt69OiBhIQEjbdJTk5G9+7d0aMH716s4uDggJycHISGhuLLL7/Eu+++i88//xwJCQkYO3Ysjhw5gkOHDkkdJhG1Mt5ubQAAp65loLyCN9joO+ZseQkICMDly5cRGRkpdShE9BcjhYAp/ToAAPae49DkJA3ma3lhviaixpo6sCM62JohPa8E30elSB0OkV4ICQnByJEjcfLkScyYMQPPPfcc7ty5g5kzZ2L9+vVSh0ckawfOpyLubj5szJSY791d6nCIdKZZjdtJSUlITExEaWmpxtuUlZUhMTERiYmJzanaoCgUCpiY1LyjRqlUYtq0aQDQqB83iIi0oV8nO9iaGyOvuBx/3syWOhxqJuZsIqKGPTagIwDg6OW7yOdcmSQB5msiIv1molTgubGVNxt9EXodZbxRnKhe5eXlWLhwIRQKBU6cOIHNmzdj/fr1+PPPP+Hu7o4VK1YgKSlJ6jCJZKm8QoWP/uq1vXhMD9iaaz61LZG+0/thydPS0nDgwAGsXLkSjzzyCNq0aQNBECAIAvz9/Ru1r6SkJCxbtgy9evWCpaUlHBwc4OXlhQ8++ACFhYUt8wTqoVKpcPjwYQBAnz59dF4/EbVuRgoBo1wre2+HcnhWIiJqBfp0tEF3J0uUlKvwv4t3pA6HiIiI9NAMz85oY2WKW9lF+DmGo8EQ1ef333/HtWvX8Mwzz2DAgAHqv9va2mLFihUoLS3F9u3bpQuQSMZ+OnsLiZmFcLA0gf+IrlKHQ6RTSl1XmJOTAwCwsLDQyv6cnZ21sp/9+/dj9uzZyM3NVf+tsLAQUVFRiIqKwpYtW3Dw4EG4urpqpb7alJaW4t1334UoisjMzMSxY8dw5coVzJ07F+PHj2+xeomI6jLavQ0OXriNE3HpePlBd6nDIR3Tds4mIpI7QRDwWP+O+OhoHNYdvgKvrg7o4shzIMkb8zURkbyYGRthoXc3rD10BZ8fv4YnBnWCkUKQOiyiGtLS0hAREYGIiAhERkYiMjISmZmZAAA/Pz8EBwdrvK+kpCR88sknOHjwIFJSUmBqaooePXpgxowZCAgIqPM65fjx4wAAX1/fGuseeughAEBoaGjjnhhRK1BSXoGNx+IBAC+M7QFLU5039RFJSudH/K5duwAALi4uWt93ly5d0KtXLxw5cqRR28XExGDmzJkoKiqClZUVli9fDh8fHxQVFWHPnj348ssvERcXh0mTJiEqKgrW1tZajx2obNx+88031f8XBAGvvPIK1q5d2yL1ERE1xNvNCQBw/mY2sgtLYWdRcwoFMlwtmbOJiOTKf2RX/HrhNq7ezcMzW87gh+dGoJ2tmdRhEdWJ+ZqISH5mDXPB56HXcCOjAAcv3Maj/TtIHRJRDXLoNBYfX9k45+bmVmNdu3btYGVlpS5DRH/7LjIFt7KL0NbaFLOH8XsAtT6NatweN25crX+fO3cuLC0t6922pKQE169fR1paGgRBqPVurKZYuXIlvLy84OXlBWdnZyQmJqJbt26N2sfSpUtRVFQEpVKJI0eOYPjw4ep148aNg5ubGwIDAxEXF4f169dj9erVNfaxbNkylJSUNKrOfyZtKysriKIIlUqF1NRU7N+/HytWrEB4eDh+/fVX2NjYNOp5ERE1Vwc7c7i2tUJCWj5OJWRiUr/2UodEGpJjziYi0ge25sbYOX8IntwUjqTMQsze+ge+XTQMjlamUodGBoj5Wt6CgoIQFBSEiooKqUMhIj1jZarE3BHd8NHROHwWkoDJfdtDwd7bJGNSdRqrGoHG1ta21v3b2NioyxBRpeKyCnz6ewIA4MVxrjAzNpI4IiLdE0RRFDUtrFAoIAgCGrFJrbp3747w8HA4OTk1az+1ub9xW5PhUyIiIjB06FAAwOLFi/HFF1/UKKNSqdCnTx/ExsbCzs4OaWlpMDY2rlbGysoKBQUFGscZEhKCsWPHNlju+++/x4wZMxAYGIh169ZptO/c3FzY2toiJyeHDeJE1Gxv7b+Mr07dwEzPzlg3vZ/U4egNqc/F+pCzDcG6devw2muvAQDCw8MxbNiwRm0v9XFCRHVLuVeIGZvCcTunGH062mD3wmGwMTNueEPSK1Kfh5mv9YPUxwkR6aecwjKMXPc78kvK8eUcTzzooZ1esq0Vz8Xat2rVqjo7jWk6LPno0aMRFhYGpVKJEydOVOs0BgAffPABAgMD1fX9s9OYr68vfvvtN8THx9fas7tjx47Iz8/XuIGbxwm1BlvCruOdg7HoaGeOkFfGwkSpkDokIjVdnYcb1XN79OjREIS/7zIMDQ2FIAgYPHhwvXeVC4IAMzMztG/fHiNGjMBTTz3V4F3ourJ371718ty5c2sto1AoMGfOHCxfvhzZ2dkICQmpcVd8fn5+i8RXVU/V/CNERLo22r0Nvjp1A2Hx6RBFsVoeIPkyxJwtNxcvXsSqVatgaWnZqBvciEg/dHawwM75QzFzUzgu3srF/OBI7Jg3FOYmvCuetIf5mojIcNlaGOPZ4S74/Pg1/Pf3eEzo3Zbfp0lW7p8esykiIiIQFhYGAJg/f36Nhm2gcrTTbdu2ITY2Fhs3bsTrr79erdNYVY/tuhqvc3NzYW9v36w4iQxJQUk5Pjt+DQCwdIIbG7ap1WpU4/Y/G1gVisoPTnBwMDw8PLQWlC6dPHkSAGBpaYnBgwfXWW7MmDHq5VOnTulsyLfU1FQAqNFTnIhIV4Z2c4SJUoHUnGJcS8+Ha1vrhjciyRlizpaTsrIy+Pn5YcCAAXBzc1PPd0pEhsW1rRW2zxuCp788g8jELDy3KxpfzvHkDwikNczXRESGbf6obth26gb+vJmDkwkZ8HbjCBtkOLTRaaxq2s74+Pgav83fuXMH+fn5GDJkiPaDJ9JTwacTca+gFN3aWOLxgR2lDodIMs36VWbOnDmYM2eOXt89FRsbCwBwdXWFUll3W3+vXr1qbKMtly9fRmFhYY2/FxYW4uWXXwYATJw4Uat1EhFpytzECEO6OgAATsRlSBwNNZUh5Gw5WbNmDS5duoSvvvoKRkbsxUlkyPp0tMU2fy+YGxshNC4d//o2BhWq5g0hTVQX5msiIsPSxsoUT3l1AQD896/5UYkMRVM7jdW2rra5vv/3v//V2J6oNcspKsOm0Mpe2/+a4AalEW+6ptarUT23/0mTeTfkrLi4GBkZlQ01nTp1qresvb29etjRlJQUrcbx3XffYcOGDRg1ahS6du0KGxsb3Lp1C4cOHUJmZia8vb3x0ksv1bl9SUkJSkpK1P/Pzc3VanxERN5ubXAyIQMn4tMxb1Q3qcOhJpA6Z6elpSEiIgIRERGIjIxEZGQkMjMzAWg+l1eVpKQkfPLJJzh48CBSUlJgamqKHj16YMaMGQgICICFhUULPYtKZ8+exZo1a/DWW2+xVx1RK+HZ1QGbnh2M+dsj8euFO7AyPY/3Hu8HhYJDi5J2SZ2viYhI+xaP6Y6v/0jCHzfuITLxHrz+unmcSN9po9PY+PHj0b17d+zevRv/93//hwEDBgCoHKb83XffhYmJCebMmaP94In00Naw68gtLkdPZ2tM6ddB6nCIJNWsxm1NZGZmQhAEODjI78ItLy9PvWxlZdVg+arGbW3Prz158mSkpqbi9OnTCA8PR35+PmxtbdGvXz889dRTmDdvXr0XCGvXrm32HClERPUZ7e6EtYeu4Mz1TBSXVcDMmD1VDVFL5mxnZ2et7Gf//v2YPXt2tRu5CgsLERUVhaioKGzZsgUHDx6Eq6urVur7p5KSEsyZMwcDBgxAYGBgi9RBRPI02t0Jnzw1EAG7z+K7qJuwMjXGG5N7c+5M0jk5f8cmIqKa2tuaY/rgTvgmIgX//T0B2+dxiGXSf9rqNKZUKrFlyxY89NBDGD16NJ566ilYW1vjxx9/RFJSEj788EN07dq1zn2z0xe1FvcKSrH15A0AwEsPuvNGa2r1WmTcgrt372LRokVo06YN2rZtCycnJ9jb28Pf3x/JycktUWWTFBcXq5dNTEwaLG9qagoAKCoq0mocnp6e2Lx5My5evIisrCyUlZUhIyMDv//+OxYtWlRvwzYALF++HDk5OeqHtnuWExH1amcNJ2tTFJepEJ2UJXU4pEVS5OwuXbpUm2NLUzExMZg5cyZyc3NhZWWFNWvW4PTp0zh27BgWLlwIAIiLi8OkSZOq3cCmTStXrkR8fDy2bdvG4ciJWqFH+rbH+9P7AwC+OnUDHx+Nlzgiai305Ts2ERHV7rkxPaAQgNC4dFy4mSN1OETN1pROYwBq7TTm4+ODkydPYuTIkfj222/x+eefw9nZGXv27MGyZcvq3e/atWtha2urfnTu3LmRz4RIP3wReg0FpRXo09EGDz2gnQ4kRPpM457bN2/exJAhlXcWvvHGG3j++edrLXf9+nWMHj0at2/fhij+PRddTk4Odu7cif379+PYsWPqIUakZGZmpl4uLS1tsHzVXWDm5uYtFlNTmJqawtTUFEFBQQgKCkJFRYXUIRGRgREEAd5ubfDT2Vs4EZeOka5tpA6J6iHHnL1y5Up4eXnBy8sLzs7OSExMRLdujRvifunSpSgqKoJSqcSRI0cwfPhw9bpx48bBzc0NgYGBiIuLw/r167F69eoa+1i2bFm1u7o1qdPNzQ0AEB4ejg8//BCrV69Gnz59GhU7ERmO6YM7Ib+4DKv3X8bGY/GwNlNigXd3qcMiPSTHfE3V8Ts2EWmLi6MlHhvQET/H3EJQSAK+eLbu+YmJ9IG2O40NGTIEhw4danQcy5cvx8svv6z+f25uLhu4yeCk5RZj++lEAMAy354cPYwIjWjcPnz4MO7cuQMTExPMmDGjznJPPfUUUlNT1f/v3LkzOnTogMuXLyMvLw9ZWVl4+umnceHChQZ7JLc0a2tr9bImQ40XFBQA0OxuNCkEBAQgICAAubm5sLW1lTocIjIwY9ydKhu34zOwXOpgqF5yzNnNnT4jIiICYWFhAID58+dXa9iusmzZMmzbtg2xsbHYuHEjXn/9dRgbG1crs2nTJnU+18T06dPh5uaG8vJy+Pn5oV+/fnjttdea9VyISP/5j+yGvOJyrP8tDu8cjIW1mRIzvbpIHRbpGTnma6qO37GJSJteGNsDP8fcwuFLdxB3Nw/uztYNb0QkU3LpNFbV6YvIkAWFJKCkXIXBLvYY6+4kdThEsqDxsOTh4eEAKocJcXR0rLXMgQMHEBUVpZ7/6/Dhw0hKSkJ4eDju3LmDuXPnAqgcMvTHH3/UQvjNY2Zmpn4uN2/erLdsVlaW+sdw3v1FRK1RVW/t2Nu5SMsrbqA0SckQc/bevXvVy1Wx/ZNCocCcOXMAANnZ2QgJCalRJj8/H6IoavwYO3aserv4+HicO3cOJiYmEARB/di+fTsAYPjw4RAEoVqsRGS4loxzxaLRlT22X/vpAg6cT21gC6LqDDFfExFR3dycrfHwA+0AAJ+FJEgcDVHzGFqnMSK5uplViN0RldMQLfN1Z69tor9o3Lh94cIFCIKABx98sM4yX3/9tXp5/fr11ebTNDc3x5YtW9C3b18AwC+//NKUeLXOw8MDAJCQkIDy8vI6y125ckW93Lt37xaPqymCgoLg4eEBLy8vqUMhIgPUxsoUfTraAADC4jIkjobqY4g5++TJkwAq5+kaPLjuIfzGjBmjXj516pTW6jc1NcX8+fNrfVQNW/7oo49i/vz56Nq1q9bqJSL5EgQByx/phaeHdIEoAv/acw4hV9KkDov0iCHmayIiqt+Sca4AgH1/piIpU/MRpYjkRm6dxvi7OBmq//6egLIKESN6OGJED04TSVRF48btxMREAED//v3rLHP8+HEAgK2tLZ555pka6wVBwLx58yCKIv7888/GRdpCRo0aBaDy7rHo6Og6y4WGhqqXR44c2eJxNUVAQAAuX76MyMhIqUMhIgM12q1y6Juw+HSJI6H6GGLOjo2NBQC4urrWO+Rqr169amyjDVUNCLU9RowYAaByrq8tW7ZwzlOiVkQQBLwztQ+m9O+AcpWI53ZF48z1TKnDIj1hiPmaiIjq16ejLcb2dIJKBD4/fk3qcIiaRU6dxvi7OBmixIwCfB9defPIMl93iaMhkheNG7dzc3MBAG3a1H53SGJiIu7evQtBEDB69Ogac1xWGThwIABUmzNMSlOnTlUvb9u2rdYyKpUKO3bsAADY2dnBx8dHF6EREcmOt7pxOwMqlShxNFQXQ8vZxcXFyMioHC2gU6dO9Za1t7eHpaUlACAlJaXFY2uskpIS5ObmVnsQkX4zUgjYMKM/xvdqi5JyFRZsj8L5m9lSh0V6wNDyNRERaWaJT2Xv7R/P3kRqdpHE0RA1nSF1GiOSo43H4lGhEuHT0wmDXRykDodIVjRu3K4ay7+0tLTW9REREeplT0/POvdjZ2cH4O95NqQ2ZMgQeHt7AwC2bt2qnvfsfuvXr1f3/lq6dGmdPyoQERm6wS72sDAxQmZBKS7fZqOcXBlazs7Ly1MvazI/V1Xjtibzfuna2rVrYWtrq3601JBsRKRbxkYKBM0ahOHdHZFfUo45X0Ug7m5ewxtSq2Zo+ZqIiDTj2dUBw7o7oKxCxOYT16UOh6jJ2GmMqOXE383D3nO3AADLfHtKHA2R/GjcuF01h0ZcXFyt60+fPq1erm9ui6ofqM3MzDStul4nT55EcHCw+vHDDz+o1yUkJFRbFxwcXOs+Nm7cCHNzc5SXl8PX1xdr167FmTNnEBISgsWLFyMwMBAA4O7ujmXLlmkl7pbAuUWIqKWZKBUY3r0yH5zg0OSyJdec3VTFxcXqZRMTkwbLm5qaAgCKinTTCyI4OBiiKGLYsGENll2+fDlycnLUDzn2LieipjEzNsKXfp7o39kO2YVlmL3lDyRnFkodFsmYoeVrIiLS3BIfNwDANxHJSM8rkTgaoqaRU6cx/i5Ohuajo3EQReCRPu3Qp6Ot1OEQyU7dk1b+Q//+/XH79m38+OOPmDVrVrV1oihi3759lTtUKusdXiQpKQkA4Ozs3JR4a9iyZQu2b99e67pTp07h1KlT1f7m7+9fo9zAgQPx7bffYvbs2cjNzcWKFStqlHF3d8fBgwdhbW2tlbhbQkBAAAICApCbmwtbW57wiKhljHZ3wrEraTgRl44XxrpKHQ7VQq45u6nu/7G+rt5t9yspqfxxyNzcvMViaipTU1N14zsRGR4rUyW2z/XCzE1ncPVuHp7ZcgY/PDcC7WzZ6Eg1GVq+JiIizY10dUT/znb4MyUbW0/ewGuP9JI6JGqFTp48iYSEBPX/q6YDA/7uNHa/2n5X37hxI0aOHImioiL4+vpixYoV8PHxQVFREfbs2YPNmzcDaPlOY/xdnAzJxVs5+PXCHQgC8NKDnGubqDYa99x+9NFHIYoifvnlF+zcubPaug8//BCJiYkQBAETJkyod8jQqju4evaU11AKU6ZMwfnz5/HSSy/B3d0dFhYWsLOzg6enJ9atW4eYmBi4urIRh4hotHvlvNvRSVkoKCmXOBqqjaHl7PtvLNNkqPGqYVk1GcKciEjb7CxMsHP+ELg4WuBmVhFmb/0D9woavjGHWh9Dy9dERKQ5QRDw4l9zb+8MT0R2Ia8VSPe2bNmCuXPnqh+vvvqqet2pU6eqrZs7d26t+6jqNGZjY4P8/HysWLECw4cPx7hx46o1bMu90xiRnHz0W+XITo/17wB3Z35uiGqjceP2s88+q54X0t/fH0OHDsWsWbMwaNAgvPbaa+pyL7/8cp37EEURe/fuhSAIGg3dqYmqoUA1fdTHxcUFGzZswNWrV1FQUICsrCxERkYiMDAQFhYWWomXiEjfdXW0QCd7c5RViDhzPVPqcKgWcs3ZTWVmZqYeuvXmzZv1ls3KylI3bst5PmsOmUZk2NramGHX/KFoZ2OGhLR8+H0VgdziMqnDIpkxtHxtiJiviaglje/dFr3aWaOgtALBpxOlDoeoydhpjEh7ziZn4diVNBgpBCydwF7bRHXRuHHbwsICe/bsgZWVFURRRFRUFPbs2YM///xT3Wg8b948jB8/vs59/Prrr7h16xYAYMKECc0Mnf6JX7yJSBcEQVD33j4Rx3m35cgQc7aHhweAyqHRysvrHjHgypUr6uXevXu3eFxNFRAQgMuXLyMyMlLqUIiohXR2sMCuBUPhYGmCC7dysCA4CkWlFVKHRTJiiPna0DBfE1FLEgQBAX/13t52KhH5HBmNdMyQOo3xd3EyBOUVKrx/uPJ3remDOqFbG0uJIyKSL40btwFg+PDhiIqKwhNPPAEzMzN1YnNxccGHH36oHmqkLm+//TYAoF27dryrvAXwizcR6cpot8rG7bD4jAZKklQMLWePGjUKQOWQ49HR0XWWCw0NVS/XNz8pEZEuuLa1wo55Q2BtqkRE4j08tysapeUqqcMiGTG0fE1ERI0zsW97dG9jiZyiMnx9JknqcIj0Fn8XJ32XmV+C2Vv/wJnr92BipMCL4znaAVF9lI3dwM3NDd9//z1UKhXS09NhYmICe3t7jbY9duxYZaXKRldLREQyMsLVEUYKAdczCpByrxCdHTh1gxwZUs6eOnUq1q5dCwDYtm0bhg4dWqOMSqXCjh07AAB2dnbw8fHRaYyNERQUhKCgIFRUsBcnkaHr09EWX831wrNb/0BoXDpe+vYcPnl6IIwUgtShkUwYUr4mIqLGMVIIeH5sD7z6w3l8GXYDfiO6wszYSOqwiIhIhy7czMHinVFIzSmGpYkRPpo5AJ3s+VsrUX0a1XO72oYKBZydnTX+0g0AlpaWsLS0hKmpaVOrJSIiGbAxM8bAznYA2HtbHxhCzh4yZAi8vb0BAFu3bkV4eHiNMuvXr0dsbCwAYOnSpTA2NtZpjI3Bu8qJWhevrg7Y9KwnjI0EHLxwG8t/Og+Vqv6hHan1MYR8TUREjTd1YEd0tDNHRn4Jvo1MkTocIiLSoR+jb+KJL04jNacY3dtYYm/ASPg+0E7qsIhkj7d3GxD2AiMiXfJ2c0JUUhZOxKXjmaFdpA6HZO7kyZNISEhQ/z8j4++bIhISEhAcHFytvL+/f419bNy4ESNHjkRRURF8fX2xYsUK+Pj4oKioCHv27FEP3eru7o5ly5a1yPMgImqqMe5O+OSpgQjYfRbfRd2Elakx3pjcG4LAHtxE2lZcXIwVK1YgKioKCQkJuHfvHuzs7NCjRw8sWLAAs2fPlvVNcETUuhgbKfDc2B54Y+9FbAq9hqeHdIGJssn9kYiISA+UVaiw5mAsgk8nAgDG92qLj54aABszXqMSaUIQRZFdBgxMbm4ubG1tkZOTAxsbG6nDISIDFZOchWmfnYa1mRIxbzwIpRG/fN+P5+Lq/P39sX37do3L13V5sn//fsyePRu5ubm1rnd3d8fBgwfh6qofcxPxOCFqfX6IvolXvv8TALB0vBteetBd4ohaN56HDVNGRgY6d+6MIUOGwN3dHU5OTsjKysKhQ4eQlJQEX19fHDp0CAqFZtevPE6IqKUVl1Vg9PshSMsrwbon+mKmF28g/yeei6k+93f6iouL43FCspaeV4KA3WcRceMegMrvhUvHu0HBqavIAOgqX7PnNhERNUm/TnawNTdGTlEZ/ryZjcEuDlKHRK3AlClTcP78eWzcuBEHDx7EzZs3YWJiAldXVzz55JNYsmQJLCzkPy8RR1shar2mD+6E/OIyrN5/GRuPxcPaTIkF3t2lDovIoDg4OCAnJwcmJibV/l5eXo4HH3wQR44cwaFDhzBp0iSJIiQiqs7M2AgLvbtjza+x+Pz4NTwxqBNvICdqhICAAAQEBKgbVYjk6s+UbDy3Kxq3c4phZarERzMH4EEPZ6nDItI7vEoiIqImMVIIGOXaBgAQGsd5t6l+wcHBEEVR40d9XFxcsGHDBly9ehUFBQXIyspCZGQkAgMD9aJhG+Cc20Stnf/Iblj2V4/tdw7G4tvIZIkjIjIsCoWiRsM2ACiVSkybNg0Aqk2XQkQkB88M7QJ7C2MkZhbi4IXbUodDRERa9l1UCp7cFI7bOcXo4VQ5vzYbtomaho3bRETUZKPdKxu3T8SlSxwJERGRflkyzhWLRlf22H7tpws4cD5V4oiIKqWlpeHAgQNYuXIlHnnkEbRp0waCIEAQBPj7+zdqX0lJSVi2bBl69eoFS0tLODg4wMvLCx988AEKCwtb5gnUQ6VS4fDhwwCAPn366Lx+IqL6WJoqMW9kNwBAUEgCVCrOJElEZAhKy1V4Y+9FBP5wHqXlKjzo4Yy9ASPh2tZK6tCI9BaHJScioibzdnMCAJy/mY3swlLYWdTsIUNEREQ1CYKA5Y/0Ql5xGb6JSMG/9pyDpYkSPr3aSh0atXLOztrpPbJ//37Mnj0bubm56r8VFhYiKioKUVFR2LJlCw4ePAhXV1et1Feb0tJSvPvuuxBFEZmZmTh27BiuXLmCuXPnYvz48S1WLxFRU80Z0RWbT1xH3N18/BZ7Fw890E7qkIiIqBnS8orxwq6ziErKgiAAL01wxxIfV86vTdRM7LltQIKCguDh4QEvLy+pQyGiVqKDnTlc21pBJQKnEjKlDoeIiEivCIKAd6b2xeR+7VGuEvHcrmicuc58SvLRpUsX+Pr6Nnq7mJgYzJw5E7m5ubCyssKaNWtw+vRpHDt2DAsXLgQAxMXFYdKkScjLy9N22GqlpaV488038dZbbyEoKAhXr17FK6+8gs2bN7dYnUREzWFrbow5I1wAVPbebmjKJiIikq+zyVmY8ulJRCVlwdpUiS1zPPF/493YsE2kBey5bUACAgIQEBCA3Nxc2NraSh0OEbUSo92ckJCWj7D4dEzq117qcIj0QlBQEIKCglBRUSF1KEQkMSOFgI9mDkBhaQV+v5KGBdujsHvhUPTrZCd1aNRKrVy5El5eXvDy8oKzszMSExPRrVu3Ru1j6dKlKCoqglKpxJEjRzB8+HD1unHjxsHNzQ2BgYGIi4vD+vXrsXr16hr7WLZsGUpKShpVp5ubW7W/WVlZQRRFqFQqpKamYv/+/VixYgXCw8Px66+/wsbGplHPi4hIF+aN7IavTibi/M0cnIjPwBh3J6lDIpI9fscmudkTkYyVv1xCaYUKbm2tsOnZwejuxGHIibRFEHkLoMGpatzOycnhl3UianEhV9Mwd1skOtia4dRr4yAIvPsQ4LmYNMPjhIiqFJdVwH9bBM5cvwc7C2N8t3g43J2tpQ7L4PE83LD7G7f9/PwQHBxcb/mIiAgMHToUALB48WJ88cUXNcqoVCr06dMHsbGxsLOzQ1paGoyNjauVsbKyQkFBgcZxhoSEYOzYsQ2W+/777zFjxgwEBgZi3bp1Gu2bxwkR6dpb+y/jq1M3MKSrA757bnjDG7QCPBeTJnickNRKyivw5v7L2P1HMgDg4Qfa4cMZ/WFlyn6m1Dro6jzMYcmJiKhZhnVzhImRAqk5xbiWni91OERERHrJzNgIW/y80L+TLbILyzB7yx9IziyUOiyiRtu7d696ee7cubWWUSgUmDNnDgAgOzsbISEhNcrk5+dDFEWNH5o0bANQD7N+/PjxRj0vIiJdWjS6O0yMFIhIvIc/OGUJEZFeuJtbjKc3n8HuP5IhCMCrD/XE57MHsWGbqAWwcZuIiJrF3MQIXt3sAQAn4jIkjoaIiEh/WZkqETx3CHo6WyMtrwSztp7BnZxiqcMiapSTJ08CACwtLTF48OA6y40ZM0a9fOrUqRaPq0pqaioA1OgpTkQkJ+1szTDdsxMA4L8hCRJHQ0REDYlOuofJn57E2eRs2Jgp8ZW/FwJ8XDnCJVELYeM2ERE122i3yjnATsSnSxwJERGRfrO3NMHO+UPg4miBlHtFmL31D9wrKJU6LCKNxcbGAgBcXV2hVNbdS6VXr141ttGWy5cvo7Cw5sgHhYWFePnllwEAEydO1GqdRETa9vyYHjBSCAiLz8CfKdlSh0NERLUQRRFf/5GEpzafQXpeCXo6W2PfklHw6dlW6tCIDBobt4mIqNlGu1c2bp+5nomS8gqJoyGSv6CgIHh4eMDLy0vqUIhIhtramGHX/KFoZ2OGhLR8+H0VgdziMqnDImpQcXExMjIqR/Lp1KlTvWXt7e1haWkJAEhJSdFqHN999x3atWuHiRMn4oUXXsBrr72GZ599Fl26dMHhw4fh7e2Nl156qc7tS0pKkJubW+1BRKRrnR0s8NiADgCAIPbeJiKSnZLyCiz/6QJe//kiyipETOrbHj+9MAJd21hKHRqRwWPjtgHhD+VEJJVe7azhZG2K4jIVohKzpA6HSPYCAgJw+fJlREZGSh0KEclUZwcL7FowFA6WJrhwKwcLgqNQVMobyEje8vLy1MtWVlYNlq9q3M7Pz9dqHJMnT8ZTTz2F5ORkfPPNN1i/fj0OHTqEfv36YdOmTfj9999hbm5e5/Zr166Fra2t+tG5c2etxkdEpKkXxrpCEIAjl+/i6p28hjcgIiKduJNTjJmbzmBPZAoUAvDaI73w32cGwpLzaxPpBBu3DQh/KCciqQiCAG+3NgCAE3EcmpyIiEgbXNtaYce8IbA2VSIi8R6e2xWN0nKV1GER1am4+O854k1MTBosb2pqCgAoKirSahyenp7YvHkzLl68iKysLJSVlSEjIwO///47Fi1aVO9w6QCwfPly5OTkqB/a7llORKQp17ZWeKRPOwDsvU1UH3b6Il2KuFE5v/a5lGzYmhsjeO4QPDemB+fXJtIhNm4TEZFWjHGvmnc7Q+JIiIiIDEefjrb4aq4XzIwVCI1Lx0vfnkOFSpQ6LKJamZmZqZdLSxueK76kpAQA6u1FLQVTU1PY2NhUexARSSXAxxUAcOB8KhIzCiSOhkie2OmLdEEURewIT8QzX55BRn4JerWzxv4lo9TTNRKR7rBxm4iItGKka2XP7djbuUjLK26gNBEREWnKq6sDNj3rCWMjAQcv3Mbyn85DxQZukiFra2v1siZDjRcUVDbSaDKEuRTYC4yI5OCBDrYY16stVCLw+fFrUodDRNQqFZdV4NUfzmPlL5dQrhIxpX8H/PTCCHRxtJA6NKJWiY3bRESkFW2sTNGnY2WvlrA49t4mIiLSpjHuTvjkqYFQCMB3UTfxzsFYiCIbuElezMzM4OjoCAC4efNmvWWzsrLUjdtyndOavcCISC6qem//ePYmbmVrdyoHIiKqX2p2EWZsCscP0TehEIDXJ/bGJ08NgIUJ59cmkgobt4mISGu83SqH4QmL57zbRERE2vZI3/ZY90Q/AMBXp27g46PxEkdEVJOHhwcAICEhAeXl5XWWu3Llinq5d+/eLR4XEZE+G+xijxE9HFGuErE5lL23iYh0JfxaJqZ8ehLnb+bA3sIYO+YNxcLR3Tm/NpHE2LhNRERaM1rduJ3B4VKJ6sFhTomoqZ707IxVUyobDzcei8eWsOsSR0RU3ahRowBUDjkeHR1dZ7nQ0FD18siRI1s8rqZgviYiOVnyV+/tPZEpnAqMiKiFiaKIr07ewOytfyCzoBQe7W2wb8kojHJrI3VoRAQ2bhMRkRYNdrGHhYkRMgtKcfl2rtThEMkWhzklouaYO7IbXn7QHQDwzsFYfBuZLHFERH+bOnWqennbtm21llGpVNixYwcAwM7ODj4+ProIrdGYr4lITob3cMTALnYoKVdha9gNqcMhIjJYxWUVWPbdn3jrwGVUqERMHdABPz4/Ap0dOL82kVywcZuIiLTGRKnA8O6V8yye4NDkRERELebFca5Y6N0NAPDaTxdw4HyqxBERVRoyZAi8vb0BAFu3bkV4eHiNMuvXr0dsbCwAYOnSpTA2NtZpjERE+kgQBLw4rrL39q4zScguLJU4IiIiw3MzqxBPfH4aP8XcgpFCwBuTPfDRzAEwNzGSOjQiug9nvCciIq0a7e6EY1fScCIuHS+MdZU6HCIiIoMkCAJWTOyN/JJyfBORgpe+PQdLUyV8eraVOjTScydPnkRCQoL6/xkZGerlhIQEBAcHVyvv7+9fYx8bN27EyJEjUVRUBF9fX6xYsQI+Pj4oKirCnj17sHnzZgCAu7s7li1b1iLPQxuCgoIQFBSEiooKqUMhIgIA+PRsC4/2Nrh8OxfbTiXipb9GciEiouY7nZCBgN1nkVVYBgdLE/z3mYEY0YPDkBPJkSCKIidFNRD3f/GOi4tDTk4ObGxspA6LiFqZ6+n5GLc+FMZGAs6t9IWlaeu8jyo3Nxe2trY8F1O9eJwQUXNVqEQs3RODA+dvw1SpwI55QzD0r1FUqGE8D9fk7++P7du3a1y+rp8U9u/fj9mzZyM3t/apatzd3XHw4EG4usr/ZkgeJ0QkJwfP30bA7rOwMVPi1GvjYG3WOka/4LmYNMHjhJpCFEVsPXkD7/4aC5UI9Olog03PeqKjnbnUoRHpHV2dhzksuQHhfGBEJAfd2liik705yipEnLmeKXU4REREBs1IIeCjmQMwrldblJSrMH97FM7fzJY6LCJMmTIF58+fx0svvQR3d3dYWFjAzs4Onp6eWLduHWJiYvSiYZuISG4e7tMOPZwskVtcjl1nkqUOh0gWgoKC4OHhAS8vL6lDIT1TVFqBpXvO4Z2DlQ3bjw/qiB+eG8GGbSKZY+M2ERFplSAIGO3uBAAIi89ooDQRERE1l7GRAp/NGoRh3R2QX1IOv68iEH83T+qwSE8FBwdDFEWNH/VxcXHBhg0bcPXqVRQUFCArKwuRkZEIDAyEhYWFjp4REZFhMVII6inAtp68jqJSTp1AxE5f1BQp9wrx+Oense/PVBgpBKye4oH1T/aHmTHn1yaSOzZuExGR1o12q5yP5kRcusSREBERtQ5mxkbY4ueF/p1skVVYhllb/kByZqHUYRHpNfYCIyK5enRAB3SyN0dGfin2RLL3NhFRY4XFp2PKf08i9nYuHC1N8PWCofAf2Q2CIEgdGhFpgI3bMrVu3ToIggBBEHDmzBmpwyEiapQRrm1gpBBwPaMAKff4wzrRP/HHciJqCVamSgTPHYKeztZIyyvBrK1ncCenWOqwiPQWe4ERkVwZGynw/NgeAIDNJ66jtFwlcURERPpBFEVsCr0Gv68ikF1Yhv6dbLH/xVEY1t1R6tCIqBHYuC1DFy9exKpVq2BpaSl1KERETWJjZoyBne0AcGhyotrwx3Iiain2libYOX8IujhYIOVeEWZv/QP3CkqlDouIiIi0bPrgTnC2McXtnGL8dPam1OEQEcmCKIooKCnHrewiXErNwamEDBw8fxu7ziQhKCQBC7ZHYe2hK1CJwJODO+HbxcPRgfNrE+kdpdQBUHVlZWXw8/PDgAED4Obmhl27dkkdEhFRk3i7OSEqKQsn4tLxzNAuUodDRETUarS1McPXC4biyS/CkZCWD7+vIvD1wqGwMTOWOjQiIiLSElOlERZ6d8c7B2Px2fFrmD64E5RG7MdERIajuKwCWYWlyC4sQ1ZhKXIKy5BVWIbsoqrlynXZf/0tq7AMOYVlKK2ofzQLpULAqikemD3MhcOQE+kpNm7LzJo1a3Dp0iWcPXsW77//vtThEBE12Wj3NvjoaBxOXctAeYWKX7KJiIh0qLODBXYtGIIZm87gwq0cLAiOwvZ5Q2BuYiR1aERERKQlzwztgs+OX0PyvUIcOH8bUwd2lDokIqIaSsor1I3QfzdIlyK7qOzv5aoG7KK/y5Q0Y8oFYyMBtuYmsLcwhp2FMewsTGBnbgx7SxNM7tce/TrZae8JEpHO6X3jdlpaGiIiIhAREYHIyEhERkYiMzMTAODn54fg4GCN95WUlIRPPvkEBw8eREpKCkxNTdGjRw/MmDEDAQEBsLCwaKFnUens2bNYs2YN3nrrLXh4eLRoXURELa1fJzvYmhsjp6gMb/xyCQ6W+tdbbGzPtvDq6iB1GERERE3i2tYaO+YNwdObzyAi8R78voqAVzd7qcPSOmMjBf41wV3qMMgABQUFISgoCBUVFVKHQkRUKwsTJeaP6oYP/ncVG36LQ3xantQh1YvfsUnuPvjfFYhiw+U0KFJZTsOCosZ7rKxcROXw21X7F/+qS4RYrU5RFKutg3q5Krb79nHf9iKq/+3+OqvXV/1vEIEKlYicojJkF5Uhp7CyN3VRWdOvpZQKAXYWxrA1N4a9hclfy/9otLYwhp35X/9aVJazMDFir2wiA6b3jdvOzs5a2c/+/fsxe/Zs5Obmqv9WWFiIqKgoREVFYcuWLTh48CBcXV21Ut8/lZSUYM6cORgwYAACAwNbpA4iIl0yUgjwdmuDA+dv45uIZKnDaRI7cxN+8SYiIr3Wp6MtvprrhWe3/oGIxHuISLwndUhaZ2lixMZtahEBAQEICAhAbm4ubG1tpQ6HiKhWzw53wRehlb23g0KuSR1Ovfgdm+Tus+PXNG6QpsZRCLivIbp6o3RVQ7WtxV/L9zVUW5kq2UhNRDXofeP2/bp06YJevXrhyJEjjdouJiYGM2fORFFREaysrLB8+XL4+PigqKgIe/bswZdffom4uDhMmjQJUVFRsLa21nrsK1euRHx8PKKjo2FkxKECicgwvPZIL3S0N0dpM4YRktIDHW2kDoGIiKjZvLo64PvFI/DLuVuoMMBf60yUnPqEiIhaLxszY2x+1hO/Xb7buN6fEuB3bJI7/xFdNS4rQLMGV03bZRvTfCsIgCD8FYHwdzyCUPnfyn8Fdd3CXxvdv069n/v2d3+8te2v2vr79ldVhyAIUCgE2JgpYXdfQ7WthTGsTZVQKNhITUTaofeN2ytXroSXlxe8vLzg7OyMxMREdOvWrVH7WLp0KYqKiqBUKnHkyBEMHz5cvW7cuHFwc3NDYGAg4uLisH79eqxevbrGPpYtW4aSkpJG1enm5gYACA8Px4cffojVq1ejT58+jYqdiEjOOtlbYPkjvaUOg4iIqNXr28kWfTux5ykREZEhGt7DEcN7OEodBpHeWzXlAalDICIiDeh94/abb77ZrO0jIiIQFhYGAJg/f361hu0qy5Ytw7Zt2xAbG4uNGzfi9ddfh7Fx9bljN23ahIKCAo3rnT59Otzc3FBeXg4/Pz/069cPr732WrOeCxERERERERERERERERGRoWr147ft3btXvTx37txayygUCsyZMwcAkJ2djZCQkBpl8vPzIYqixo+xY8eqt4uPj8e5c+dgYmJSOZzHX4/t27cDAIYPHw5BEKrFSkRERERERERERERERETUmuh9z+3mOnnyJADA0tISgwcPrrPcmDFj1MunTp2Cr6+vVuo3NTXF/Pnza1134sQJxMfH49FHH4WTkxO6du2qlTqJiIiIiIiIqH5BQUEICgpCRUWF1KEQERFRPZiziYhal1bfuB0bGwsAcHV1hVJZ98vRq1evGttog7m5ObZs2VLrOn9/f8THx2P58uUYNmyY1uokIiIiIiIiovoFBAQgICAAubm5sLXlnPVERERyxZxNRNS6tOrG7eLiYmRkZAAAOnXqVG9Ze3t7WFpaoqCgACkpKboIT2MlJSUoKSlR/z83N1fCaIiIiKghvKuciIiIiIiIiIiIqPFa9ZzbeXl56mUrK6sGy1taWgKonCdbTtauXQtbW1v1o3PnzlKHRERERPUICAjA5cuXERkZKXUoRERERERERERERHqjVTduFxcXq5dNTEwaLG9qagoAKCoqarGY7hccHAxRFBscknz58uXIyclRP+TWs5yIiIiIiIiIiIiIiIiIqLla9bDkZmZm6uXS0tIGy1cN/W1ubt5iMTWFqampuuGdiIiIiIiIiIiIiIiIiMgQteqe29bW1uplTYYaLygoAKDZEOZSCAoKgoeHB7y8vKQOhYiIiIiIiIiIiIiIiIhIq1p147aZmRkcHR0BADdv3qy3bFZWlrpxW65zWnP+TiIiIiIiIiLt4A3kRERERERE8tOqG7cBwMPDAwCQkJCA8vLyOstduXJFvdy7d+8Wj4uIiIiIiIiIpMMbyImIiIiIiOSn1Tdujxo1CkDlkOPR0dF1lgsNDVUvjxw5ssXjagreVU5EREREREREREREREREhkopdQBSmzp1KtauXQsA2LZtG4YOHVqjjEqlwo4dOwAAdnZ28PHx0WmMmgoICEBAQABycnJgZ2eH3NxcqUMiImq1qs7BoihKHAnJWdXxwZxNRCQN5mvSBPM1EZH0mLNJE8zZRETS0lW+bvWN20OGDIG3tzfCwsKwdetW+Pn5Yfjw4dXKrF+/HrGxsQCApUuXwtjYWIpQNZaXlwdAvnODExG1Jnl5ebC1tZU6DJIp5mwiInlgvqb6MF8TEckHczbVhzmbiEgeWjpfC6Ke3+528uRJJCQkqP+fkZGBV199FUDl8OELFiyoVt7f37/GPmJiYjBy5EgUFRXBysoKK1asgI+PD4qKirBnzx5s3rwZAODu7o6oqChYW1u33BPSApVKhdTUVFhbW0MQhCbtIzc3F507d0ZKSgpsbGy0HCH9E19v3eFrrVut+fUWRRF5eXno0KEDFIpWPwsI1aG5Obs1f8b0Dd8r/cL3S380971iviZN8Du24eH7IT98T+RFju8HczZpgt+xDQ/fE3nh+yE/cntPdJWv9b5x29/fH9u3b9e4fF1Pd//+/Zg9e3adQ5a4u7vj4MGDcHV1bVKc+iY3Nxe2trbIycmRxQfC0PH11h2+1rrF15uoZfEzpj/4XukXvl/6g+8V6Qseq/LC90N++J7IC98Paq147MsP3xN54fshP631PeFtbn+ZMmUKzp8/j5deegnu7u6wsLCAnZ0dPD09sW7dOsTExLSahm0iIiIiIiIiIiIiIiIiIrnR+zm3g4ODERwcrJV9ubi4YMOGDdiwYYNW9kdERERERERERERERERERNrBnttUK1NTU6xatQqmpqZSh9Iq8PXWHb7WusXXm6hl8TOmP/he6Re+X/qD7xXpCx6r8sL3Q374nsgL3w9qrXjsyw/fE3nh+yE/rfU90fs5t4mIiIiIiIiIiIiIiIiIyPCx5zYREREREREREREREREREckeG7eJiIiIiIiIiIiIiIiIiEj22LhNRERERERERERERERERESyx8ZtIiIiIiIiIiIiIiIiIiKSPTZuUzVJSUlYtmwZevXqBUtLSzg4OMDLywsffPABCgsLpQ7PIERFReGtt96Cr68vOnXqBFNTU1hZWcHd3R1z587FyZMnpQ6xVfj3v/8NQRDUj+PHj0sdksFJTk7GqlWr4OnpCScnJ5iZmaFz587w9vbGypUrcfHiRalDJNJbzNfyx3yv/3itIH+81iBd0lXuPXToEKZNm6bOHZ06dcK0adNw6NAhrdWhz3SVX1evXl0tB9T3aO35QdPXaezYsVqp75tvvoGvry/atWsHMzMzuLi4YPbs2QgPD9fK/vXZ2LFjNX4/mnP88vNBcsecLQ/M2fLCfC0vzNlaIBL9Zd++faKNjY0IoNaHu7u7GB8fL3WYes3b27vO1/f+x5w5c8SSkhKpwzVYMTExolKprPaah4SESB2WQfnkk09ES0vLeo/zpUuXSh0mkV5ivpY/5nv9x2sF+eO1BumSLnJvRUWFOH/+/HqP6QULFogVFRVaelb6R5f5ddWqVRrVxfwgavw6jRkzpln1FBYWihMnTqxz/wqFQly9erV2npSeGjNmjMbvR9VrdvPmzUbXw88HyRlztjwwZ8sP87W8MGc3nxJEAGJiYjBz5kwUFRXBysoKy5cvh4+PD4qKirBnzx58+eWXiIuLw6RJkxAVFQVra2upQ9ZLqampAIAOHTrgySefhLe3N7p06YKKigqEh4dj/fr1uHXrFnbs2IGysjLs3r1b4ogNj0qlwqJFi1BeXo62bdsiLS1N6pAMzjvvvIM33ngDAODu7o6FCxfCy8sLtra2yMzMRExMDH7++WcoFBw8hKixmK/1A/O9fuO1gvzxWoN0SVe59/XXX8fWrVsBAAMHDkRgYCB69OiBa9eu4f3330dMTAy2bNkCJycnvPvuu9p8inpDqvx64cKFetd369ZNK/Xou+effx4vvPBCnestLS2btf958+bh119/BQD4+Phg6dKl6NChAy5cuIB3330X165dw+rVq9G+fXssWrSoWXXpq23btqGgoKDeMpcvX8bMmTMBAOPHj0fHjh2bVSc/HyQnzNnywZwtX8zX8sCcrQVSt66TPFTdTaVUKsXTp0/XWP/++++r7+BYtWqV7gM0EJMmTRK//fZbsby8vNb16enporu7u/q1Dg0N1XGEhu+jjz4SAYi9evUSly9frrd3JsnV0aNHq919WVpaWmdZ9lYkajzma/3AfK/feK0gb7zWIF3TRe69evWqerQIT09PsbCwsNr6goIC0dPTUx1Hax2hRZf59f5eLlQ/XVx7Hjt2TF3PlClTahwD6enpYpcuXUQAop2dnXjv3r0Wi0XfBQYGql/LnTt3Nmkf/HyQXDFnywdztvwwX+sf5uz68VZ2QkREBMLCwgAA8+fPx/Dhw2uUWbZsGXr37g0A2LhxI8rKynQao6E4cOAAZsyYASMjo1rXt2nTBuvXr1f//4cfftBVaK1CcnKyupfPF198ARMTE4kjMiwqlQrPP/88AKB///7YunUrjI2N6yzP15+ocZiv9Qfzvf7itYK88VqDdE1Xuffjjz9GeXk5AODTTz+Fubl5tfUWFhb49NNPAQDl5eX46KOPGl2HIWB+bb0+/PBDAIBSqcRnn31W4xho06YN1q1bBwDIzs7Gli1bdB6jPlCpVPj6668BAFZWVnj88ccljohIe5iz5YU5u3VivtYe5uyGsXGbsHfvXvXy3Llzay2jUCgwZ84cAJUnnpCQEF2E1ir5+Piol69duyZhJIYnICAA+fn58PPzw5gxY6QOx+AcOXIE8fHxAIB///vfUCo58wWRNjFfGxbme3nitYK88VqDdE0XuVcURfzyyy8AgF69emHYsGG1lhs2bBh69uwJAPjll18gimKj6mktmF8NT15eHo4dOwYAmDBhAjp16lRruccffxw2NjYAgJ9//lln8emTY8eO4datWwCA6dOnw8LCQuKIiLSHOVv/MGcbFuZr7WLObhgbtwknT54EUDmfwuDBg+ssd/8PfKdOnWrxuFqrkpIS9XJdd7dR43333Xc4cOAAHBwc1HeRkXZ9//33AABBEDB58mT13+/du4f4+Hjcu3dPqtCIDALztWFhvpcfXivIH681SNd0kXtv3LihnpeyoZtqqtbfunULiYmJjaqntWB+NTyRkZEoLS0FUP9nxMTERN3QFBkZyRGMarFjxw71clUDH5GhYM7WP8zZhoX5WruYsxvGxm1CbGwsAMDV1bXe3g+9evWqsQ1pX2hoqHq5aqgcap7s7GwsXboUALBu3Tq0adNG4ogM05kzZwAAXbt2hbW1NXbv3o2+ffvC0dER7u7ucHR0RM+ePfHhhx9Wu4AlIs0wXxsW5nt54bWCfuC1BumaLnLv5cuXa92PtutpLVoiv/r6+qJt27YwMTFB27ZtMXbsWLz33nvIysrSyv4Nxffffw8PDw9YWFjA2toabm5u8PPza/ZIQk35jJSXl6tH+qBK+fn56h5yLi4uGDt2rFb2y88HyQVztv5hzpYG87X8MWdrho3brVxxcTEyMjIAoM6hIqrY29vD0tISAJCSktLisbVGKpUK7733nvr/M2bMkDAawxEYGIg7d+5g5MiRmD9/vtThGCSVSoUrV64AqJw/ZenSpZg1axYuXrxYrVxcXBxeffVVjBs3DtnZ2RJESqSfmK8NC/O9/PBaQf54rUG6pqvce/PmTfVyQ/V07txZvcwcX1NL5dfffvsN6enpKCsrQ3p6OkJDQ7F8+XJ0795dPTwtVf6oHRsbi6KiIuTn5yMhIQE7duzAuHHjMG3aNOTk5DRpv/yMaMePP/6IgoICAMDs2bMhCIJW9svPB8kBc7b+Yc6WDvO1/DFna4aN261cXl6eetnKyqrB8lXJPz8/v8Vias0++ugjREREAKicf6K+YXRIM2FhYdiyZQuUSiW++OILrSUDqi4nJwcqlQoAcOHCBXzyySdo3749du3ahXv37qGwsBChoaHqYWdOnz6NefPmSRkykV5hvjYszPfywmsF/cBrDdI1XeXextRTVUdT6mkNtJ1f+/btizfeeAP79+9HdHQ0zpw5g+3bt8PX1xdA5agfTzzxBA4dOtTs2PWZhYUFnnrqKXz55ZcICwtDTEwMjhw5gtdffx2Ojo4AKufCfeyxx5o09Cg/I9qh7eFN+fkgOWHO1j/M2brHfK0/mLM1JFKrlpycLAIQAYjPPvtsg+U7d+4sAhB79Oihg+hal+PHj4tKpVIEILZt21a8e/eu1CHpvZKSErFXr14iAPHVV1+tsX7VqlXq4z8kJET3ARqQlJQU9WsJQLSwsBCvXLlSo1xhYaHYv39/dbkzZ85IEC2R/mG+NhzM9/LCawX9wWsN0jVd5d633npLXc+xY8fqLXvs2DF12bfffrtR9Rg6befXrKysetd/8cUX6veiQ4cOYlFRUbPq02f1vVZ37twRBw4cqH6tNm7c2Oj9z5s3T739tWvX6i27detWddmdO3c2ui5DlZKSIioUChGAOGzYsGbvj58PkhvmbP3CnC0N5mv9wJytOfbcbuXMzMzUy6WlpQ2Wr5q7ztzcvMViao0uXbqEadOmoby8HGZmZvj+++/Rtm1bqcPSe++++y6uXLmCLl26YNWqVVKHY9DuP5cAwIIFC9CzZ88a5czNzbFmzRr1/7/99tsWj43IEDBfGwbme/nhtYL+4LUG6Zqucm9j6rl/Lnnm+L+1RH61s7Ord/3ixYvV01ikpqbixx9/bFZ9+qy+18rZ2Rk//PADjI2NAQCffvppo/fPz0jz7dq1Sz36iZ+fX7P3x88HyQ1ztv5gzpYO87V+YM7WHBu3Wzlra2v1siZDQFSN9a/JEC+kmRs3bsDX1xdZWVkwMjLCnj17MHr0aKnD0ntXrlzB2rVrAVQm5PuHOyHtu/9cAkA9rEltxo8fD6VSCQCIjIxs0biIDAXztf5jvpcfXivoF15rkK7pKvc2pp6qOppSj6GSMr8uXrxYvRwaGqqTOvVR9+7d8eCDDwIAEhISkJqa2qjt+Rlpvp07dwIATE1NMXPmTJ3Uyc8H6RJztn5gzpY35mt5YM7WnFLqAEhaZmZmcHR0RGZmJm7evFlv2aysLPWJp3PnzroIz+ClpqZiwoQJSE1NhSAI+Oqrr/DYY49JHZZB+Oijj1BaWoru3bujsLAQe/bsqVHm4sWL6uXff/8dd+7cAQBMmTKFP3A3kqmpKZycnJCeng6g/nOEmZkZ2rRpgzt37qjLE1H9mK/1G/O9PPFaQb/wWoN0TVe5t1OnTurlhupJSUlRLzPHS59fPTw81Mu3bt3SWb36yMPDA7/++iuAyteqQ4cOGm/7z8+Ip6dnnWX5GakpKioKly9fBgBMnjwZ9vb2OqmXnw/SJeZs+WPO1g/M19Jizm4cNm4TPDw8EBYWhoSEBJSXl6t7OfzTlStX1Mu9e/fWVXgGKyMjAw8++CCuX78OoLLH0Jw5cySOynBUDW9y/fp1PP300w2Wf/vtt9XLN27c4A/WTfDAAw/g+PHjAICKiop6y1atr+t8Q0Q1MV/rJ+Z7+eK1gv7htQbpmi5y7/0/Jt2/H23XY2jkkF8FQdBpffqsOa9VUz4jSqUSbm5uTa7TkOzYsUO9rI3hTTXFzwfpGnO2fDFn6w/ma2kxZzcOhyUnjBo1CkDlcBDR0dF1lrt/SIKRI0e2eFyGLCcnBw899JD6Tpz33nsPAQEBEkdF1Dz3DyVUdcFam9zcXGRkZAAAOnbs2OJxERkK5mv9w3xPpF281iBd00Xu7datm7pXTEPDAJ44cQJA5XHdtWvXRtVjSOSSX6vqB9Conk2tUXNeKy8vL5iYmACo/zNSWlqKM2fOqLepmje0NSsrK1OPTOPk5IRHHnlEZ3Xz80G6xpwtT8zZ+oX5WjrM2Y3Hxm3C1KlT1cvbtm2rtYxKpVLfOWJnZwcfHx9dhGaQCgsLMWnSJJw9exYA8Prrr+Pf//63xFEZnuDgYIiiWO9j1apV6vIhISHqv7fmi87meOKJJ9TLP//8c53lfv75Z4iiCADw9vZu8biIDAXztX5hvpc/XivoH15rkK7pIvcKgqAelvPKlSvqH/v+6cyZM+peLo899pje9rBoLjnl102bNqmXx4wZI0kM+uDGjRv47bffAAA9evRo9E1H1tbWGD9+PADg6NGjdQ4F/NNPPyE3NxcAMG3atGZEbDgOHTqknp7jmWee0eloJvx8kK4xZ8sPc7Z+Yb6WFnN2E4hEoih6e3uLAESlUimePn26xvr3339fBCACEFetWqX7AA1ESUmJ6Ovrq34tly5dKnVIrdqqVavU70VISIjU4RiERx55RAQgKhQK8ejRozXW3759W+zUqZMIQDQxMRFv3rwpQZRE+ov5Wj8w3xsOXivID681SNeam3tDQkLU6/38/Gqt4+rVq6KRkZEIQPT09BQLCwurrS8sLBQ9PT3VccTFxWnjqekdbeXXbdu21fuenT9/XoyPj693H5s2bVLvo127dmJ+fn6TYtF3+/btE8vKyupcf+fOHXHgwIHq12r9+vU1yjT0foiiKB47dkxd5tFHHxXLy8urrU9PTxe7dOkiAhDt7OzEe/fuNet5GYonnnhC/bpFR0drtA0/H6TPmLPlgzlbXpiv5Y85u/E4ARkBADZu3IiRI0eiqKgIvr6+WLFiBXx8fFBUVIQ9e/Zg8+bNAAB3d3csW7ZM4mj119NPP40jR44AAMaNG4f58+fj4sWLdZY3MTGBu7u7rsIjaraPP/4Y4eHhyM7OxuTJk/Gvf/0LEydOhLm5OSIiIrB27Vr1nXtvv/02hwolaiTma/3AfE/UcnitQbqmi9zr7u6OV199Fe+99x6ioqIwcuRI/Pvf/0aPHj1w7do1rFu3DjExMQCAV199tdXOTair/BodHY0FCxbAx8cHjzzyCPr27QtHR0eUl5fjypUr+Prrr9VxGBkZYfPmzbC0tGzak9JzL774IsrKyvDEE09g+PDh6Nq1K8zNzZGRkYHjx49j06ZN6mkiRo0a1eShaMeNG4ennnoKe/bswb59+/Dggw/iX//6Fzp06IALFy5gzZo1SE5OBgCsW7cO9vb2WnuO+iorKwsHDhwAAPTp0weDBg3Syn75+SA5Y86WD+ZseWG+ljfm7CaSunWd5GPfvn2ijY2N+k6Nfz7c3d0bvNOD6lfXa1vXw8XFReqQDRp7Y7WMsLAw0dnZuc7jWhAE8T//+Y/UYRLpLeZr+WO+Nxy8VpAnXmuQrjUn92rSC0wURbGiokKcN29evfli/vz5YkVFRQs9S/nTVn5tqJfL/evrezg6Oop79+5t2Sctcy4uLhq9Vk888YSYlZVV6z406QkmipW9ISdOnFhnHQqFgiMX3efzzz9Xvzbvv/++xtvx80H6jjlbHpiz5YX5Wt6Ys5uGPbdJbcqUKTh//jw2btyIgwcP4ubNmzAxMYGrqyuefPJJLFmyBBYWFlKHSUQyN2rUKFy6dAmffvop9u7dixs3bqC0tBTt27fH2LFj8eKLL2LgwIFSh0mkt5iviai147UG6Zoucq9CocDWrVvxxBNPYPPmzYiMjERGRgbatGkDLy8vLF68GI888oiWnhHVZ+LEidi6dSvCw8MRExODu3fvIjMzE6IowsHBAf3798fDDz8Mf39/2NjYSB2upLZv347Q0FCEh4fj+vXryMjIQG5uLqysrNC5c2eMGDECfn5+GD58eLPrMjc3x8GDB7F7924EBwfjzz//RHZ2NpydneHt7Y0lS5ZopR5DsXPnTgCVPbFmzZqltf3y80Fyx5zduvCcpBnma3ljzm4aQRRFUeogiIiIiIiIiIiIiIiIiIiI6qOQOgAiIiIiIiIiIiIiIiIiIqKGsHGbiIiIiIiIiIiIiIiIiIhkj43bREREREREREREREREREQke2zcJiIiIiIiIiIiIiIiIiIi2WPjNhERERERERERERERERERyR4bt4mIiIiIiIiIiIiIiIiISPbYuE1ERERERERERERERERERLLHxm0iIiIiIiIiIiIiIiIiIpI9Nm4TEREREREREREREREREZHssXGbiIiIiIiIiIiIiIiIiIhkj43bREREREREREREREREREQke2zcJiKD17VrVwiCAH9/f6lDISIionowZxMREckf8zUREVHLWb16NQRBgCAIUodCJFts3CbSU8ePH1cnudWrV0sdDhEREdWBOZuIiEj+mK+JiIhaL14HEOkXNm4TGaDExER1Mg4ODpY6nBYxduxYCIKAsWPHSh0KERFRkzFnExERyR/zNRERERGRfCilDoCIqKUlJiZKHQIRERFpgDmbiIhI/piviYiIiEhK7LlNRERERERERERERERERESyx8ZtIiIiIiIiIiIiIiIiIiKSPTZuExkYQRDQrVs39f/nzp2rnhus6rF69epatz179iyee+459OzZE1ZWVrC0tETPnj3x/PPPIy4urs46g4OD1ftOTExESUkJPv74YwwbNgxt2rSpUWdpaSn279+PJUuWwMvLC/b29jA2NoajoyOGDh2K1atXIyMjo9a6/P39IQgCQkNDAQChoaE1nl/Xrl2rbdO1a1cIggB/f/96X7v9+/dj+vTp6NSpE0xNTeHo6Ijhw4fjvffeQ35+vsbPX6VSYfPmzRgxYgTs7e1haWmJfv36Yc2aNSgsLKw3BiIiaj2Ys5mziYhI/pivma+JiKh1O378uDovHT9+HADw3XffYfz48XBycoK5uTl69uyJwMBA3Lt3r8H93bx5EwEBAejevTvMzMzQoUMHPProozh69Gij4srJycHatWsxcuRIODk5wcTEBO3bt8eUKVPwww8/QBTFGtvs3r1b/VxeeOGFOvednJwMe3t7CIKA3r17o6ioqFGxEbU4kYj0UkhIiAhABCCuWrVK/feqv9X3uL+8KIpiRUWF+NJLL4mCINS5jVKpFDdt2lRrLNu2bVOXi4yMFAcMGFBvnX5+fg3G6OjoKJ48ebJGXZps6+LiUm0bFxcXEYDo5+dXa/xFRUXitGnT6t1nhw4dxJiYmAaf/6VLl8Tx48fXuZ8hQ4aI+fn5te6HiIgME3M2czYREckf8zXzNRERtV51XQf8c92xY8fE2bNn15mXXF1dxdu3b9dZz4kTJ0QbG5s6t1+9erW4atUq9f/rcvToUdHR0bHeXDtx4kQxLy+vxrbPPPOMusyBAwdqrK+oqBDHjBkjAhCNjY3F6OhozV9IIh1RgogMyoULF5CamoqHHnoIAPDOO+/gscceq1ambdu21f7/4osv4rPPPgMAjB49Gv7+/ujevTssLCzw559/4uOPP8alS5ewePFitGvXDo8++mid9c+fPx8XLlzAnDlzMHPmTLRr1w7JyckwNTVVlykvL0f37t0xbdo0DBkyBF26dIFSqURSUhKOHj2Kr776CpmZmZg2bRouXrxYLd41a9bglVdewdy5cxEVFQVPT09s27atWgwmJiaNes38/Pzw888/AwD69++PZcuWoXfv3rh37x727NmD4OBgpKamYvz48Th//jw6duxY574WLlyIM2fOwM/PDzNmzFA///fffx/h4eGIiIjAO++8g7Vr1zYqRiIiMjzM2czZREQkf8zXzNdERERV3njjDZw+fRpTp07FnDlz4OLigrt37yIoKAgHDx5EQkICXnrpJXzzzTc1tk1OTsbkyZORm5sLhUKBRYsWYfr06bC1tcX58+fx3nvvYfXq1fD09Kw3hlOnTuGRRx5BWVkZnJ2d8eKLL6J///7o0KEDUlNT8e2332LXrl349ddf4efnhx9//LHa9p999hlOnjyJ5ORkzJs3DxcuXKh2bfD++++rR3R56623MGjQIC28ckRaJnXrOhE1TX13k924cUO9btu2bfXu58iRI+qyW7ZsqbVMUVGROG7cOPUd22VlZdXW339XdX37qZKQkCCqVKo6158/f160srISAYj/+c9/ai1TdffYmDFj6q1LFOu/q/zAgQPquMePHy+WlJTUKLN582Z1mRkzZtRY/8/nv3PnzhpliouLxT59+qjvmP/na0hERIaLOZs5m4iI5I/5mvmaiIhaL017bgMQ33nnnRrbq1Qq0dfXVwQqR2dJS0urUWb69OnqfezevbvG+tzcXLF///7V6vqn0tJSsWvXriIA8eGHHxYLCgpqfT7359ojR47UWB8aGioqFAoRgDh58mT136OiokRjY2MRgDh69GixoqKi1v0TSY1zbhO1cu+99x4A4IknnsD8+fNrLWNmZob//ve/AICkpCSEhITUub9x48bVuZ8qPXr0gCAIda7v27cvFixYAADYu3dvvftqrqCgIACAsbExtm3bVusd6QsXLsSECRMAAD/99BNu375d5/4ef/xxzJ49u8bfTU1NsWTJEgBAZmYmLl++rI3wiYioFWHOZs4mIiL5Y75mviYiIsM1ePBgrFixosbfBUHAyy+/DKByRJXw8PBq6+/cuaMe1WTy5Ml4+umna+zD2toamzdvrrf+PXv2IDExEWZmZtixYwcsLCxqLbdw4UIMGTIEABAcHFxj/ejRo/Hvf/8bAHDgwAF8/vnnKCwsxKxZs1BWVgZbW1vs2LEDCgWbEEmeeGQStWK5ubk4fvw4AGD69On1lu3duzfatGkDADWS8/1mzZrV6DiysrJw7do1XLp0CRcvXsTFixdhZ2cHALh8+TLKysoavU9NlJeXq4dY8fX1RefOnessu3DhQvU2Va9Zbep7/oMHD1YvX79+vZHREhFRa8aczZxNRETyx3zNfE1ERIbtmWeeqfOGsvryUkhICCoqKgAAc+fOrXP/Q4YMwQMPPFDn+n379gEAxowZAycnp3pjHT16NIC6rzPefPNNdczLli3DM888g6tXrwKovFnNxcWl3v0TSYlzbhO1YjExMVCpVACAp59+utY7xmpz586dOtf169dPo31cuHABH330EQ4dOlTv/lQqFbKysmrMYaYN169fR2FhIQBg6NCh9Za9f/3FixfrLNerV6861zk4OKiX8/LyNA2TiIiIOZs5m4iI9ADzNfM1EREZtqbmpQsXLqiXvby86q1jyJAhuHTpUq3roqKiAAD/+9//6h215X51XRcYGxvj66+/xqBBg1BYWIhffvkFQOU1TFNuriPSJTZuE7ViaWlpTdqu6stqbezt7RvcfuvWrXjuuedQXl6uUX1FRUUax9YY9+7dUy839MW+Xbt2tW73T3UNBQOg2jAuVXfqERERaYI5mzmbiIjkj/ma+ZqIiAxbU/NSY3Kks7Nzneuacq1RX97v2bMnXn31Vbz55psAACcnJ3z22WeNroNI19i4TdSK3Z9kN23ahBEjRmi0XX1fro2MjOrd9sqVK+ov3W3btsWrr76KcePGoWvXrrC2toaxsTEA4KuvvlLPKyaKokZxNYemd7oRERFJgTn7b8zZREQkV8zXf2O+JiIiql1zcmTVtcYjjzyC999/v9mx5ObmYvv27er/Z2Rk4OzZsxg3blyz903Ukti4TdSKOTo6qpctLCzQp0+fFq8zODgY5eXlMDIyQmhoaJ1DudR357a23D9UzN27d+ste//wLfdvR0REpAvM2czZREQkf8zXzNdERES1uf9Gtrt376Jz5851lq0vhzo6OiI1NRWlpaVauc5YsmQJEhMTAQDW1tbIy8uDv78/zp8/Dzs7u2bvn6ilKBouQkT6RtO7vwYMGKAue+rUqZYMSa1qvpD+/fvXO0dJ1fwhddHGXeDdu3dXDyXzxx9/1Fs2IiJCvayLHyiIiKh1YM7WDHM2ERFJiflaM8zXREREtevbt696OTIyst6y9a0fOHAggMq8Xlpa2qyYvv/+e+zcuRMAsGDBAuzevRsAkJKSgueff75Z+yZqaWzcJjJAZmZm6uWSkpI6yzk5OWHYsGEAgN27dyM9Pb3FY6uaA6ygoKDOMrdv38a+ffvq3U/Vc6zv+TVEqVRizJgxAIDffvsNN2/erLPsli1b1NuMHTu2yXUSERHdjzlbM8zZREQkJeZrzTBfExER1c7Hx0c91cj9w4D/U2RkJC5evFjn+kcffRQAkJOTg23btjU5nlu3bmHx4sUAADc3N3z88ceYPHkynnvuOQDAnj178PXXXzd5/0QtjY3bRAbI0dERJiYmAIBr167VW/Y///kPgMr5NaZPn47s7Ow6y5aUlCAoKAjFxcVNjs3NzQ0AEB8fj9OnT9dYX1hYiGeeeQZFRUX17qd9+/YAgOvXrzdrvrCAgAAAQGlpKebPn4+ysrIaZb766iscOXIEAPD444+r6yYiImou5mzNMWcTEZFUmK81x3xNRERUU/v27fHYY48BAPbt24fvvvuuRpn8/Hx1g3Nd/Pz81EOav/LKKzhx4kS95U+ePInQ0NBqfxNFEX5+fsjKyoJSqcSuXbtgaWkJAFi/fj169uwJoDKnJycna/YEiXSMjdtEBkipVMLLywtA5ZfGb775BrGxsUhISEBCQkK1ubYmTpyIpUuXAgBOnDiB3r17480338SxY8dw7tw5nDp1Ctu3b8eCBQvQvn17LFmyRH1neFM8++yzAACVSoVJkybh3XffxYkTJxAREYHPP/8cAwYMwPHjxzFy5Mh69zNixAgAQFpaGl5++WVER0ern19SUpLG8UyaNAlPPvkkAODIkSMYNmwYvv76a0RHR+Po0aNYsGABFixYAKByHrANGzY05WkTERHVijmbOZuIiOSP+Zr5moiIqLnWr18Pa2trAMAzzzyDgIAAhISEIDo6Gtu2bcPgwYMRExMDT0/POvdhamqK7777DqampsjPz8e4ceMwe/Zs/PDDD4iOjkZkZCT27duHVatWoV+/fvD29saFCxeq7eOjjz7CsWPHAABvvPEGhgwZol5nYWGBXbt2wdjYGDk5OZgzZw5UKlULvBpEzSQSkV4KCQkRAYgAxFWrVtVYf+DAAVEQBHWZ+x//LK9SqcQ333xTVCqVtZa//2FpaSkWFhZW237btm3q9Tdu3Ggw9jfffLPeOpYtW9bgPvPy8sTu3bvXur2Li0u1si4uLiIA0c/Pr9Z4ioqKxGnTptUbU4cOHcSYmJhat9f0+d+4cUNdbtu2bQ2+TkREZBiYs5mziYhI/pivma+JiKj1qu864P51ISEh9e6nvmuJqn1ZW1vXmR9Xrlwprlq1Sv3/uoSHh4udO3du8DoDgLh9+3b1dufPnxdNTU1FAOLw4cPF8vLyWvf/zjvvqLdft25dvc+ZSArsuU1koCZNmoRjx47hscceQ4cOHWBsbFxnWUEQsHLlSsTFxSEwMBCenp5wcHCAkZERrK2t4eHhgVmzZmH79u24ffs2zM3NmxXbypUrcfDgQfj6+sLe3h4mJibo1KkTHn/8cRw5cgQffvhhg/uwsrLC6dOnsXTpUvTu3RsWFhZNjsfMzAw//fQT9u3bh8cffxwdOnSAiYkJ7O3tMXToUKxduxZXr17FgAEDmlwHERFRXZizNcecTUREUmG+1hzzNRERUe3Gjh2LS5cu4fnnn4eLiwtMTEzg7OyMSZMm4fDhw3jzzTc12s+wYcMQHx+PL774ApMmTVLnWjMzM3Tu3Bm+vr5Ys2YNrly5gjlz5gConA5l1qxZKCkpgZWVFXbu3KmeB/yfXnvtNYwaNQpAZe/uc+fOaeX5E2mLIIrNmEiHiIiIiIiIiIiIiIiIiIhIB9hzm4iIiIiIiIiIiIiIiIiIZI+N20REREREREREREREREREJHts3CYiIiIiIiIiIiIiIiIiItlj4zYREREREREREREREREREckeG7eJiIiIiIiIiIiIiIiIiEj22LhNRERERERERERERERERESyx8ZtIiIiIiIiIiIiIiIiIiKSPTZuExERERERERERERERERGR7LFxm4iIiIiIiIiIiIiIiIiIZI+N20REREREREREREREREREJHts3CYiIiIiIiIiIiIiIiIiItlj4zYREREREREREREREREREckeG7eJiIiIiIiIiIiIiIiIiEj22LhNRERERERERERERERERESy9//P/uXB+Ttq4AAAAABJRU5ErkJggg==", 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" ] @@ -179,7 +205,7 @@ } ], "source": [ - "eigs = cola.eig(cola.SelfAdjoint(C),pbar=True, method='dense')[0]\n", + "eigs = cola.eig(cola.SelfAdjoint(C), k=C.shape[0])[0]\n", "\n", "import matplotlib.pyplot as plt\n", "plt.rcParams['font.size'] = 20\n", @@ -220,14 +246,14 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 6, "id": "9c74d2a9", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "75f4f7ad4bc946ff979240c778d6cff2", + "model_id": "c4d513287e19435fa117a0320fcda7c4", "version_major": 2, "version_minor": 0 }, @@ -245,14 +271,17 @@ "C_jax = cola.lazify(jnp.array(C.to_dense()))\n", "y_jax = jnp.array(y)\n", "\n", - "def mycg(C,y):\n", - " return cola.algorithms.cg(C,y,tol=1e-4,pbar=True)\n", + "\n", + "def mycg(C, y):\n", + " return cola.CG(tol=1e-4, pbar=True)(C, y)\n", + "\n", + "\n", "solj, infoj = jax.jit(mycg)(C_jax, y_jax)" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 7, "id": "4f9aae59", "metadata": {}, "outputs": [ diff --git a/docs/notebooks/03_GPs.ipynb b/docs/notebooks/03_GPs.ipynb index 1eb55cba..37c7f302 100644 --- a/docs/notebooks/03_GPs.ipynb +++ b/docs/notebooks/03_GPs.ipynb @@ -29,16 +29,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2023-08-01 20:03:34-- https://www.andpotap.com/static/bike.mat\n", - "Resolving www.andpotap.com (www.andpotap.com)... 69.164.216.245\n", - "Connecting to www.andpotap.com (www.andpotap.com)|69.164.216.245|:443... connected.\n", + "--2023-10-13 14:55:46-- https://www.andpotap.com/static/bike.mat\n", + "Resolving www.andpotap.com (www.andpotap.com)... 143.42.238.119\n", + "Connecting to www.andpotap.com (www.andpotap.com)|143.42.238.119|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 434829 (425K) [application/octet-stream]\n", "Saving to: ‘bike.mat’\n", "\n", - "bike.mat 100%[===================>] 424.64K --.-KB/s in 0.04s \n", + "bike.mat 100%[===================>] 424.64K --.-KB/s in 0.05s \n", "\n", - "2023-08-01 20:03:34 (10.5 MB/s) - ‘bike.mat’ saved [434829/434829]\n", + "2023-10-13 14:55:46 (8.22 MB/s) - ‘bike.mat’ saved [434829/434829]\n", "\n" ] } @@ -54,9 +54,6 @@ "metadata": {}, "outputs": [], "source": [ - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")" ] @@ -81,20 +78,15 @@ " data = np.array(loadmat(file_path)['data'])\n", " X = data[:, -2:-1]\n", " y = data[:, -1]\n", - "\n", " X = X - X.min(0)[None]\n", " X = 2.0 * (X / X.max(0)[None]) - 1.0\n", " y -= y.mean()\n", " y /= y.std()\n", - "\n", - "\n", " train_n = int(floor(train_p * X.shape[0]))\n", " return X[:train_n], y[:train_n], X[train_n:], y[train_n:]\n", "\n", "\n", - "\n", "train_x, train_y, test_x, test_y = load_uci_data(data_dir=\"./\", dataset=\"bike\")\n", - "\n", "dtype = jnp.float32\n", "train_x = train_x[:3000]\n", "train_y = train_y[:3000]" @@ -149,12 +141,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "c5ed6118", "metadata": {}, "outputs": [], "source": [ - "ls, uscale, noise = .2, .5, 1e-3\n", + "from cola.linalg import Cholesky\n", + "\n", + "ls, uscale, noise = .2, .5, 1e-2\n", "\n", "def predicted_mean_std(ls,uscale,noise):\n", " kernel = rbf(ls=ls, uscale=uscale)\n", @@ -162,10 +156,10 @@ " Kzx = cola.ops.Dense(kernel(test_x, train_x))\n", " Kzz = cola.ops.Dense(kernel(test_x, test_x))\n", " K = cola.PSD(Kxx + noise * cola.ops.I_like(Kxx))\n", - " invK = cola.inv(K)\n", + " invK = cola.inv(K, alg=Cholesky())\n", " mu = Kzx@invK@train_y\n", " Sigma = Kzz - Kzx@invK@Kzx.T\n", - " std = jnp.sqrt(cola.diag(Sigma,method='exact'))\n", + " std = jnp.sqrt(cola.diag(Sigma))\n", " return mu,std" ] }, @@ -181,23 +175,30 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "9dd4eb89", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:jax._src.xla_bridge:CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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6Y5VasYDLF2A8EKRayuP2haiXC9RKRaaOP4Y3GOmfz/DUYUq5NL5QZM/1FAiGdtIuu9kd4divrXa/uTAfRKQQkUg+ANyLVMnb3ef29jaXL18G4OTJk3tESY/etolEgnQ63d/HnaIp72Xqp9To7LTGNslUTOFxr7pU3il3GnDWEyEub+C2gtHzL/0p2e1Njj31sdtufPtFSYQwoyH51BaNWplGtUJsdIrI4BhrNy6xvTLP9Mkn9nS/KIrK4sXv47DVCLqXsXvSuB0Fxh73EvC9il1N43PlcNqrcIeATEe3U6oP09aOo9tP0xCHuHw+x/ZaGhSFqWOPUi7kWD6XxOULEhkao1oqoqoqE8dOm1EGIRg9HGBowqw5cfvmcbi9IAxc3gCNWhmhmCJCIPrRpc3Fa6TXlxGIfdMlt9ZuvONOlX1+/kGpB9kPKUQkkg8A9yJVcqd9XrhwgXQ6vUd0AGSzWa5cuUIymexHO3YLlIsXL5JMJjl16hRw52hK7/mlS5dIpVKcPn36tvPRNNP86e2cl2EIam1zcFu1ac5SKdQ75GtmbUer82BMib1TGqZnqrW1fKNfW+ELRm4rpCzl0lx+9QWSq4sMjM/gDUb27GdrcZbk2iID49N73EYrxRyhgSHmzq1SKWSJjU7y1Ge/yPf/9N/jtKY5eRTi4W/iKX2PIX8FzdjCEUjjOJTHor21YGt2gjTFGMmUg2zeQ9MYJVuO44k9iTcY60cRKoUshdwWbp8flzeINxjpR3t6XTMuX2Dn/E1TMm/wZuSinEvj8gU4NXnQfJ437dhvjW4AjEwf6++jd413X+8fhLcjVj6oSCEikXwAeKtUyTtt2etFJHrRid37vH79en+7XnQiGo2Sy+V44403CAQCKIpCPH7zP+bLly+TTKZw+cPMJcrYfGHOL+dJfv86dm+QdqeLMxDFU6xiXJvfsdVOUCtdZeTNdSYPHqOSz1ItpLFYLGjCIBLXiaQEys30O4YQ6AZ0dIN216DR0Wl1DIwHpU3lLtwpDbO5eI1qIW/WcAiBoigMTx/t24srioLbF2Dt+kXyqW384TiTxx7Zs6+txVkSqwuomkpybRGA4enD2NQkxw5XKKy/xMQz54lGu8Rj38Xv/b/52N+9Q/vrLgwDqnUX9VaQSsNPsWijqcdoGTF0bQrDfphO106tnAehgGLWWghbAc+uOS/lQoZKPsfgxEz/3LaXzU4UZafCVVUUDj3+7L4pkDulRXqv92bA7OaDLg7eS6QQkUgeEt5JKmS/7QYHB0mlUly6dGnP9j+Ib0AvGjI0NNQ/ZiKRIJPJEA6Hicfje6IdAJlMBoBCocDXvvY1RsYnOHj6aV49e46VzSTVtk5kyIO/mcEXVijrTlY2k3h8LTyBECF/hHwm2W8LHZyYoVIIsr4wRz6TMdstVHB7g+YnaNVLJbv/sLCHEV84RjmfZWt57ubznYFqtXJxR3AJ3L5Qf4CaAlRLBTbmryAMA6fHSzg+QmJtCW8gSLVUYOHSazitRQ5NVoiF02jNy/hcacJaBUtsR2yE9l9Ts+2kVPFQawVodmMUinYqDR+1hp/lhTy5rIpmc2FzuBiZPgLQj9AcOPUk/nCczYVruH2hfsGqKZyCewo4hSH6BZ7914BGpYjTG2Dq+GMYhrFHUOwWWm/HbVRy/5BCRCJ5SHg7qZBbt4O99RfJZJJCoUA0Gr1NrCQSiX5dxt3ETu8YPQEyNDSEoihkMhkWFhZ45plniMfjpFKpPe87efIkxXqbP/zTP2e1At/71ps4z84jDIHbF6BaKuDyBhg9eByASiGLokC1XKBeKYJiRgV2DxXzhWNUijkym6s0ahXGDp7Y94ZzP7nVnbQ3dO3WltfdQ9fuFMb3hSKkNhZZvPg6sbEphBB4g2HqlSK1chG3P4iimqPla+UCA+PTZBPrFDNJAtEBRmeOoXWWsIkrRKybxCM5huMFXI79BZtuqOSLbrIFHx11mmRKY3urSzZnpVC0448f4uiTHyW1tkQ2uUGrUScQidOs12h2LAwfHKJeKRMZHKVeLhEeHkdRzL9JBcU8f2F2zVSLebyBcD/i0RMSt4qIfufJ1CHKhQwI5bb33CowZFrkwUYKEYnkIaEnDnbXRuwu7oSbHSdDQ0N7IhKJRILLly9TKBTQdZ1sNkskEukLj921FW+nlmR3NOTy5ctks1kKhQJAP0XQO26h1mIj32C2HWZ5bZOtugWLfxDSOZKrC9idHqLDE7j9QSqFHFuLs+YxdwQHwPLVc6xcO79nqFjvUz8CGrUKTrcXlAfvxnKrO2mlmKNazO0ZF99Po+x6z53Ow+MLMXf+e9RrZSJDYyDA6Q30r1+tVEAIgaoapOafZ8S3xrN/pUU8dJaI/99hszRu26chFMqNQSrtadrqMRr6OOdfX2N+No8QKlPHHqNeLVOvllAUBXvQA9UVHC5Pv1ajXivTrFVo1qukN1bwhaMIA/P3AhgIGuVif2ptL7XiC4Zx+4J4A+F9oxq3CsvdwmS/2o396jo+aGiqgtOqUWs/OOZ4d0MKEckHnofJfGtwcJArV65w5swZZmdnCYfD/UjI5cuXOXfuHH6/n4MHD5LL5QiHw1y+fJlcLkehUCAQCHD8+HF0XSeXyzE3N0ckEiEcDu8pBDVrNsyi0p4IUVW1vwagL1yy2SzFYhGAZ599Fl3XKTU6LGeqnLu+RanRNW+M2xd32jwPUSlksbs82F1uHE4Pme01Tj37GTz+LLOvv4xA4dhTH+u3TkZHJhAC6uUCwzuum1vLc9TLBUBh7OAJUKBazLO1OLvHp+IH5d0a2nbrTXV46hCXv/sC6/NXOPbUc5Tz5oRYty/A0M612Vq6QbmQoVrK4/GFGZm5+YnfEwjh9Pq4fvZl3P4ghx/9CEOTQ3isK6i+c4Q8W4R9CULebSza7T4mXV0jkfayseWhUB8nVxqmph/AYg/uqcFooeEN2WBHZAhhtsU6PF6a1TKx0UlioxNsLc/RqBRxuL0E40OAit3pwuF0gyKIjUxSKeSIj04iDEG5kNkpBDVTR0Jwm8/G7uv2g3SovB+xW1U8dgseuwWXzYLLpuG0aTit5nfXrsd2i1msXWp0uLJZ4tp2iXr7wej02g8pRCQfeB42860TJ04wPz/PysoK+XyekydPkkwmWVxcRAjBxsYGa2trfPrTnyYcDvP973+fs2fPcvDgQZ555pl+JGVubo5Lly7h8/n4whe+cJsQS6fTnD9/fo8Q232dUqkUZ86coVQqIYQgMjjKZtPKSrbD1b/4Zt/SemTkZjFkL8JRLmSJj04SHZ4gt71Go1ph4eLrxMemcLh9/ahKby5Jr3YAzG4HXyjSFyHs8nDoHQd4R2JkP9GhoLC1fIPE6jwDEzN7OklKuTT1cpHEyjxDk7f7R5hmYlm8oTD+cHyPGFEUBafXT6NWYeXa+Z1PrGZRbWJ1Hpc3YKZg1pfYXJojFBskvbmMMAyGJkYRzTkePZHn1ESGWHCWsdFvEQ5U9z2vdtdOpT1FqTFJqTnF9Wstrs9WKOcLDB84yuHHn6WUvojD7e132GwtzlIu5FAVhdDACIXUFomVBQanDuJwefD4ggyMHUBRFJavnqNZrxKKDzM4Pk1ybYmt5evYnW6zilSYQqMXxeodo1zI9AXl7hbZD2JUQ1HAbbPgcVhw2y147TuPbRa8O6957BZsFvUd79vvtPLsTIQPHQgzn6pwebPIdrF5D87ih0MKEckHnne7o+TdZr+IzczMDAsLC2xsbPDlL38Zv9+Pz+cjEAjg9/splUpkMhnOnj3L1taWaZ99S6eKEIJTp06xsrKyx7tje3u7n1bpdWHsPnbvOjU7XZa30nQ0B5bgCLr7APPn5nYsq8EbuOk86QmGGQTKhRyVQq7fXtqLEGyvzLM+Z6aSJo890l9fr4Dx1k/MiZV5eiLE5Qv219YTH+V8Fu9OiP/tRDZ66ZOeyOmF/ROr86xdvwSYwmR7ZQ4EeINhDCFoVIpcPvMC0ZEJBicO9vfVSzvUynkq+SwjM8d2ik3N9tr42BQKsLl0g1B8kMjwBBvzV1m6+ibTJx4lFusyEllkZmATS/ebBH0FhgZ1fO7qHeenVBteys0Jat1p0sUohcoYOI9gGPSHw20mrmDoFcKDY4zOHKNWLuwRIZmtVYRh7IilQL8O4/rZ75BYnmdwcoaBsQP9vwu3LwAoeAIhDMPA4w8yPHWERrWE0+PHEwhiGEa/Vbh3fXaLj1t5v4gPi6qYEYudaIXLZukLDo9d6wsMt82CqipvvcMfAk1VODLo48igj3SlyeWNEnOpCu3ug9GaLoWIRMJeMfLDdpS829xafLq9vU0sZrpWbmxskEwmSSaTHD58mHw+TygUIhAI8MILL1Cr1Thw4AA/9mM/xtmzZ3n++ef50Ic+RCaT6UcY/H4/2Wz2tuhH72aj6wZzy+s4/RFyHQfzFQtf+coLLC8tma25I3GsDrMOwB+OsbV0A18osici4Q/H8YfjiIVZqqV8X4TsvunUSmZRamp92bzB7aRadguanmdGpZjDEwgztOMJsTucPzx9FO8to+PvOo5eVfAFo/2ha6n1JQbGD5i1D4YgMjxGamOFzMYqqIBQ+tEegMuvvsDlM98ks7XG5NFHqBRyZgOPqpiPBf16lt41rRSztKvXGQhcZyBwgWGfwZOfKBLw5gh4/wBNu3Niv9m2U6yGaegT1PQZLpzNcOl8Ebtvgqc+++PmdZ2I0e1FbipF0purtGoVBDB14glcHr9Z3OoL9KMV9UrRtEJXIDw43h/Q5gvHqJbyNOtVQPTtzreWbhAfO2Bey0LWNFDzBRjc5dMhxE0PE3OQ24M3P0VVFOxWFYdFxW7VsGoqVk3BoqpoqoJVU9DUnS9l12NVwaqpWDTzu01TsVtU7BZTfPwgEYz3gpjXwaeOOnh2JsL1RPmBSNkoQjy4pSzlcrn/6c7n893v5Ug+APRuxoqi8Oijj75r+90d1bg1wrFb+NypJuXChQt873vfIxgM8vGPf5xUKsXXv/51coUSis3Bme98ByxW3P4gLl+I1NYG1VKB2NgBfMEIHn+QerlEq14hOjiMoir4/QF8gSChSIzN5Xl8gRD+UBh/OEomlcQdjOHwhUkkEhSze10hz3/7q9TKJTMSMHmw31Lr3xVa73WC3FpLcWuEYrfHQ6WQJbm2hMsXwBsIoyjsES27x8h7guH+fjcXZqkUc/2b52563Si9SMzuDoveereW50zBE4qwcPF1csmNvk24Lxhm5ep56rUKCoLQwCgAA+MHGJ4+ytybZzj30ldpNxsMHzhKOD4CioJh6PhDPrz2FFaxSCxcJh6t47Ks4lBWsVr2tzAHaLdVckUf6ZyLQjlAtuAjmbJQqsewOEcYP3yq75paLmRZvHSWZq3C4ORBnv3LP93fT8+krFEpExke70++9QbDCEPsEVS9dFO1lGdgfPpmdGnXNReCfrrpViG325l097XfHQW5H0LEqin4XTaCLitBlw2/04rXsRONsFuwW9S+KJe8e7yT+7eMiEgkO+xORdxtFsoPwu6oxn4Rjp4IuVNNysDAAMVikaWVVSo4yJSbnJldJ5sybwTFWptut4aj3qG7sUW33cIXjjFy6BSr1y+yePUCkycewx0eZGlhDrvTjZhyE5mZpArUFRfpjQTqRhLXTtGk3e6n2uriDUX79RrATreHIDoygdsXvG3ce++T7603+x67b0a3bmMYBjM7XRXm8dQ9FuXlfAZVVXeJiZRZgxGKkF5fYuHS68yceqp/8+vtxx+OUSsVWLp6jtT6Ek6vH2/gprOoAqTWF818vd/P9uocma1VXN6d/0BVaDUqOJxeFEUQH5smsbpApWhGPKLDk5TTC9i7rxJWGhyY0hkZquB3JlDV/T9x6oZGqRokX/KRLwXYWNfZ2ICWMkliq06r2UZBcOTJj9GolEhvrWGz23HQQBiin07xBSOc/uhfYu3GJfLJTebOneHQY6axl2EYuP2h/kA5wc77dANfKGJGfXYJBF842hcNPd6OB8eDkGaxqAohj42ox07EayfithNwW/HaLVJoPODIiIhEArfVhLzdGpF30nFzq9C41fDrTsertrrMJSu8+N3XeOGrz4Oi4HC6cXp8rM9f3vGIGCI6NMrClTcoprZxeHycePoToCoU0wkUTcNmcxCKD1OvlXC5ze6HwfHpPZGMxUuvYwg4ePqpOxZg9myxd0cWdluJe4LhfjrkrTw9bvXY2P2JenNhlmo5h9sbvG2/ma0VhCGYOf00AkF1p/akXi4iAI8/iCEEua01IiMTDE0epJRLs3bjUn9qbHzsQD/60uvkWb56jmI2RbNWQVE1bE4n7XoNXziGy+unXimhoHD6w6cwyt/Da1tkMJon7NvC787ue44d3UVDn6BUH2BtHYqVCMJ5EtV5mHKhCCpkNldJrS2ZXTKBCPnUFsqOQ9vAxAEcTg/hgRFq1SKFdAqn28PozDGzVmVXxGju3BlSGyscOP4YnmB4T6TqbhGlhw2bRSXisRHzOoj57ES9dsJuO9o9rrWQvH1kREQi2cVbiYVkMolhGHtEwH4FrPvxTjpudvuA7P6Etluw9Oo9Tp46zXKmytXtEmu5OkJAttIiGBtife4y2dY6kcGxHQ8HiA6N0mzUwTBweLyEooNsrdzAarUTG5tiZPoYm/NXAYHT7UNgUEhvUa+UOHD8sf5NKjoyeduQtN0IYexxuNzdDdITI5V8FiH2/xR9K7tvhLfeFH2hSL/GwDAMKoUsCIXM1iqbC9cJDZjXtlrIsXz1HG5fEJc/SGZzhVxq04xsGQbZ7dUdXw0Fh8sDQCaxQS6xgdPj3ym4NLs7itkkzVrVFG52F+n1eSLBBkO+JY6f8hIPpfE5VvA49+9SKZQcrG+6WdtwUmpOMXjsZwhPfJRyPkMpl6ZWK+AOBM0iXLvSb9ddv36Z+PgB7BkPidV5QrER7C4XydUFNhauMTpzjPhO3UpiZZ61uSv913dPfT302LN4/CHKBVMU3VqLs6d7h4fjpu22a0Q8ptiIeu1EPXZCbpuMcryPkEJE8r5nt1jY3QWy2x/jVqMuuCkc7hY0HBwcJJlM9qMbt0ZT9tvnSy+9RD6fZ2Zmhmg02l8TwPlLV1nPVfnmahOLJ9w/ztbiLEtX3iQ+NgUI1ueuUM6n8QVjHH7sWa5875vUK0VcviBP/6WfYGt5juz2Gp12i2a1Qi6xQXhwpF+gKAQ7NyJl3xHlvdz+bnoh+t72u6MYvdcTK/NUiwU8AbPTpZc66XEn/43efnbXGfRumlvLc6iKQq2cI7V+HUV0GT90FIc7yMLF7wEaiqqSTawTwUwZbcxfI72+wviRkwjDYHPhCkJAZGiMRrVMYmWecHwYp8dLKGwns/inVLOzHBhMEPDkiIVrDAx0iIYqOOy3p1YMAfmSn3JjkuVVG8srFjLFAQYOfJhapcjG3FXarSbT+iYTndkdIXSzDbmXWgFIri2axmTA+txVbHYn/kis3wLbqlURQiG1voQ3GOHQ48/iCYRYvnoe1NvFYq9Yt5zPPDS25ooCHruFoMtG0G0l5LYTdtsIe2y4bPI29X5HpmYkHwh2O4fqut7//k5TMftx4cIFrl+/TjgcJhqNkk6nGRgY6M9bicVi/WmzFy9eZHZ2lnw+T6lUYnJyksOHDzO7vMGlxU0qwoEnsDfc3vPGMMPwglxijcTqIp1mA4EgNnaAzflrdDstXB4/sfEDiG4XRVXJbK5Sq5QIxgaYPPoYA+MHKBdypgRRFarFAgKBxxfc88n6btxe6HkDRVFRFKgUcqiq2hc88bED/Smot6ZrSrmUGeXArNGwqRn8zk2sxnX8zjQeVw2rksFhLWCzNPY15wIzkqEbKrquYQgLhqHR6UCnI0B10Gp10XUVXTfrTVSlhdVi4HIL3M4GFu3uLYydrkYqG2A75afYnKBhHKGjHaWYb5BPbdCs12nVq9hdHoKxARxuH41qiWImRateYer447h8gdvakLeW52iUi/2anMVLr7O1NIfD7cbh8hAbneynu2rFAigQHZm8TSw+DOkVq6b021W9Dgteh1kw6nNY8Tmt+BwWLNqD2WUi+cGQqRnJB4p3Uqexvb1NNpslk8kQi8VuKxLt7ePChQtkMhlOnDixp4C1F7lIJpPE4/E94eE333yTxx9/nHw+Tz6fZ3bWtCrveXdcvHiRM2fOcPDgwf72S1sZXl3IkszkEMIgNjJJan0ZoQiqpTyLl15HCNE3Aps9+wqNWg2H2wMCapUCq1fOMzA5QzA6wOKVN1g4/z1OfuSznPzwp3jlf/wXaqU8oFKvFikXcv16iMTqgvkp3RsEZW/B4d28N8AUMX1REYxw/qWv06zXOPnsp3D7g6zOXiCX2DDnjAyNUS3lwTCjU4qq4AtH8ViW8dhfwG+9yGB4FY+r/gP9/hUFLJqxIyh2OlGcvZ++vaF39bpGpWajWndRqkcpVcNsbausr+notiMMjB+ikElg6DrRoTEe/cSnuPHmdxHCoFmrEB2ZILO1Sr1cZvLoo3iDERYvvc7m0hy55KbZqXJLG/L2yjzVSpH4uNkC6/T6efTjn0cgSK8v4/YH8QWjppuqP9SvkXmQzL40VembcLntFtx2rd+N4raZz912Cw6rdr+XKnmAkUJE8tDzdus0epGPSGTHXEkIvv3tbxOJRDh58uSedtp0Ok0ul+Py5cvE4/F+FCWVSvWt002PDfP1HgsLpqvn5uYmXq+XJ598El3XefHFF5mbmyMUCuH0Bnnj1QssF7ro+Qz2bBWBwqFHP0Rma43E6jyD4wdpVMrUy0Vc3gDVUp71uSs0a1Wcbi9CGDhcHmrlAp2uOSHV5QsQjo9gsztplItsL8/xyEc/T3rqMEtX3qBZq/WrAsr5LM16Dafba3ZTiJvplnIuTXJlAcMwIwV7Rs7vapPtTYKtl4uAaZi2fuMKTo+XRq1Ks1GnlEvTqJX7dt5TY0UmHMtMKws4Iwm42biCrivkSgFKtQE2NjWyOQu6GieXg1IRfJExYpOnURSNxUvfp1HOYnM6cLkd6O0KhfQGitHCHw4wMDaKoTdILF0B0cQb8GN069jsDlz+QXzhMSqVNnNX1tlcy2MIGzOnniIYH8LQDVrNGsHoIF3rAv5wnGa9SjA6iKqqOD1+5s6doVrM4wmEcPtD1EoFwoPjTB4N9+tZnN4AIwcOIYToG37tnqMyODmDN2AKDIFgeGpX7c1OO+zuNMr9inx47Bb8u1pffc6bkQy3TZO1GpIfGilEJA89b9cZdXd7biQS6Q9+y2azJJPJ/v56zqJgdrbMzs72t1tdXcXn8/X/8909ZfaJJ54gk8mwurpKuVxmdHQUwzDIZrO8+M1voltcNEPTvPLKFYQ9wvixR1m6/AatZgO708n63FUatTIHjj9BvVokn9wmNDBMo1Liyqvfwu5yE4wNER4aQ1Egs7WG1W5nZvophDBHpT/68S/0p9Fmt9fMdEsoQr1col4tUS0X2F6eo1ErU68Wcbq9fYOqUi5tmoUVctTKBTyBEFtLN6gUsv0OmUoxR6NS3JmDUmBz4QpOj28nneBGAMn1JaqFHDaHC38kxMGpNCOhC8yMLeP3tvrXuavb2EgOsLgSYHUrytycRqlQxuULMnX8MdIbK1QLGUqFHMOThzh1+vOAOQDP4gihVzqsL67gjwzgC8XJ5jJ0uyq1jo/tVIlyLo3TO47V5iBVFtQrZQKRON5GlPL1NHanh3RaEIhNmm2xLg8Ol4dmo4bQdZr1KoMTMzTr1R1B6Cc6PNE3XYuPTXHosWfZXJilXi7gC5qTY7cWZynnswwfOAzQt3q/1VitZ/K2H/sNc7vXeOwWIl4bkZ1i0LDbTtBt7c8tkUjuFVKISN4XvJUz6q3C5OLFi2QyGaLRKJFIhOvXrzM7O4uiKBw9erT/vlQqxcLCAisrKyQSCQzD4NixY+RyOZaXlwkEAgAEg0FisRhvvPEG5XIZn8+HEIKzF69Rx858Xqejl5hL/AUOt5n/FzsdLs1qhUo+R2J1icGJGVw+P7nEOk6PF4fbS6NaRghhFs3udH9UiwWKmSSxkUlGZ46z0+lphu0FuHx+EAqLF1/H6Qtw8tlPU85nSK0vs3DxdQLROOOHTiIMwdbyHMNTh6hXiqzduEJ4YASPP4RhCFRN7ftluH1BfMEw9XKR62e/058l0qhWaNSqOF0eFAVa1TRHZxI8frrMsUNpHPab4qPRtLCWOsL15QlePdME1YMvFMbh8jB21MPS5XPkE5vUK6ZIqhRzuFxe2s0a1VJ+Z8y9SrNaRVEhNjJJIbNNu1kjNjqJ3ekmubpAp93EYrfj9gawOlwMjh+gUa3QbJjdLp1Wk1qlRLfbwWa34wlGcHq8qJqGoeu4/EHC8RHUnboFl9eP0+PrG4IdOPF4P8IxMnMUX8gczlfOpfEEw3iDkds6VXrc7yJRRYGgy0bMazdbXz0Ool47TpsUHJL7gxQikvcNvUjIrfNRbhUhFy5cIJ1O96fQ9ibIKorSHyQHZrQjmUwSCoXY3NzsCwxjZxZHIBDg5ZdfJhaL8eyzz3LmzBmKpTLC4iBXazN3aZVmVycUH6ZrCJr1Og6Xi2ImRTGdBE0hEI5T3Mlb2FoOQDB/4TUcbjfhgREalRLB+PBOOkZQyCbJp7dpt5r4QhHCgyMIYdqJr12/TKtVJxCOM3X8MaqlPKs3LhPFHKZm6AaNWplyIY3D7WFwwqxV2V6e49J3X6BRK6MoCh5/kMHJg2wvz5HeWO3fvLPb6zjdXuq1Es1GjUoug0Ch02oQDCkcOlxjIj7L4b+ew267ebOt1p3cWBlnefsI584Z5FMpIEOtXGR46jAIhVI2xer1i3RaTZqNCiiCbqeDw+khODiMMATnvvWnREcmCQ8MU0gnsNtdDE8fYfmKQbvZwOZw4nB7sNjsphCx2mi3mkSHJ5g4+gjp9WU2l+fIJzZAUei2WviCUcYOnyI6PM76jSvUq2ZNi6Hr+EIRPMHwjigzi0Z7s2h6EaJb6zXeKoXyXtd1KAqE3D3R4TC/ex0PrP245IOJFCKS9w13ckbdHR3ZXf8Rj8f73h2RSGRPfcfv//7vc/r0aaLRKCsrK5TLZZrNJo1GA4/Hg2EY1Go1Go0G88srVA0LHcVO2+LE6fZR18tsrt7Aanfi8vgoZlI43G5zQu3SHJtL13C5/YBCOZfG7nQTGhgll9gAAcPTh2lUy9SrZRq1Mg6X14wE1Ct0Wm1ajSoDE9M4PQFyiTXqlTLZ5Abteo1gbIhyIUe9UmDi8EnTd2PpOqGBYRwuD+OHT9GolFi4/DozJ58CBRq1Mk63D0WFaqlApZDFEwyxsXCV9MYKpWya6s5rA2MzWJQOB8YzHBjPMjG8zYGJCuque1uh5ObsOTdn3/TQsjyJLzQAClSKF6mVSqCC3u2aa241qVdLlHMZNKsVjz9Mt9sBw8DmcuELhHH5gySW51mdvUAplyI+OoXbH6RaKjB17HFc/gBXX/s2m/PXCMQGiAyNUsnnEeg4vV4zlaZAu1Gj02nCzuj58aOniQyMYhiC8KB5/evlItGRib7h126r+p4TKdwuKu538aimKn3REd0RHlGPXYoOyQOPFCKS+8Y76XZ5K3pRjl7RaS8KAvSFCZgFqidPniSVSnH16lUymQyhUKjf2ZLP51laWkJVVS5evIjf7wdgZGQEn8/HwuISV2/MY2h2hGqlbglQLOcoLK4TG5kgFI8jhHljB0GtnCe5usDg5AxOtw+XN4DT7cYfipPaXKJeLRGIDjAwcYBCKkm71SAUHzHXktzC6fMjdB1FVUGAw+Wl3TTrG+rlIi63F2EIsltr5qyTg8dwujw0KnmsaotuYxO7pYbT0cGi1giEYsQfeZzX/uJPWL5ygXxiE4RpctaslWnWaxSUJLmUOWvFF7BjE11E8zxHRmqcOO0lGnyJaDCN1bK37XV5xcrl2SgriYMsLAg6nTaBcJxofIBmrUqlmKPTaoMi6DSbWB1Os3alUkLTLNhcLiyaFV8khtVio14t067XabWbjMZHcLm9XD7zAghBMZs0HVS9AaZPP0VidZ52vYbLF2Ds4ElcPh851yYoCoVUgkb1FZwe/44/h4tgfIjo8DiVQg5FVcAQxMYmiY9NUSnkGZiY2RPZuN8iYzeKAj6HlbDHrOOIeM3vIbdNOotKHkqkEJHcN96JK+nd6EU5dtMzGnv++ecBeOaZZxgaGtqzz2984xu8+OKLPPnkkzz99NN9MSKEYGVlhdXVVfzBEN5wHF1zUNY9FK1Blq+fw+nxEYwN4Q/H0Owucol1itkk4YERUKCYSeINxUAImo06k0cfwRuMcPnMizRqVexuNxiCbrdNu9lg7fplfOEoofgIrUaNZs2J0+enmNpmcOoQLreXzaXrKCjExg7QKJdo17YJOrKM++b5yLESPk+JSOh1nPY6VkvnjuPiAT76c9DtqnS7CrphwcBiPu8YWC1d7HawWjt39dio1N2kige5cEHw6pkG6YyC3eGm1UiiWWyMHTrGiQ9/CoFg4cLrFDNJut02wwcOUyuVKGYTdNpNAFyRASwWC7GxA9hsDhRV5dDjH6GQ3qZRKZFLbuB0+wgNjqIomJNgs0lOf+SzAKQ3V4iOTDJ26ATCEKBAfPQAlUKOjYWrpi2+28Pk0dN75qv0Ckt7aZgHyZPDYdUIuqwEXFYCLhtBl42Q2xzeJj03JO8npBCR3DfebrfLfuyOpvSiHL3XU6kUsVgMRVEoFotUKhVmZ2eJx+P9Y7z00kuUSiVyuRyzs7MEAgEikQiNdpeG6mIxXSXbtbOynMJb0Bk+cBhXMIA9m8Pp8eHaGVOPYtqGhwdHaTXqbC6a1uOB2GA/kjF84DDlQo5KMUe9Wsbp9uJwe5h59EMIAZvzV+l22nRaTYanj9Csu3C4PISig4Tjw9QrRTaXbhAZjBHxzDE1dI7J4TUigfwPdf0tFgOLBUAHWnfcrlpTKVddZHN2VtetzF9vs5UJYlimQVGw2exYPSoBo0Bme5VOq0UwPmR2pWys4PYFcLg8BCID1CoFhICBsQO4fX6yyQ1K2RQWixWr3Y7d7iQYG8Th9uLxB3j8kz/C+Ze+xtKVN7E7XYRiw0SGxshur5NPbZFYnWdgYobJY4/iC0ZvM/oq59J4AmF64+vv5EJ6v9pjXTaNgMuK32nbERxWAjuPpfeG5IPCPXVW/c53vsO/+lf/inPnzpFIJPjjP/5jfvRHf/Rtv186q34w6ImPXgrl7bib3kmwvPDCC8zPzzMzM0MkEkHTNGZnZ1lZWSEQCDAzM4MQgsXFRTY2NiiXK6RzRXTNRltzEBqdoVYqoKgKLreferVMYm2BTrOBNxilUsggBPgiUcrZNIqq4g1ECMYGaeykNir5DNHhcZxeP4auEx+bYm3uMuVsBrvTzfCBQzi95pj79OYy5771pzRqZSxWG/7wALHRCZxuH06Pj8HxcYz8HzEZO8vM+AZ2297R8dmcg+VVJ4VqnHp3AF0dY321wNr8KqVSG5sjyOjBY+STGxTSW9gcdhx2DYtFEIyGadTSVLPbON02jj/1YZwuJ/lsmY3FZQq5CrW6Rr1uYLM50HWdZr2CoetYbXZUiwWb3YU3GMZqs5NcX6RZKeHw+nF5/ESGRjn82LP9up16tUSjWsHp8lLIJskl1s2ZKDvW6za7A1CYOvYoLn+AajGPNximWiyQT20SHhzB5Qn0R9cnVudZu36J8SOnOPTYs/fgL/PdQVUUAi7rTkusjaDbjG5IsSF5P/PAOKvWajVOnTrF3/7bf5svfvGL9/JQkoeM3RGNW7tdej+/W2rmTtGU3bpaURROnz5NPB5ndXWVl19+mdnZWVwuN8sb2zSx4hmYIE+H5PK8Wb9w7RIun5/hicOEB8dxB4IU0gkK6QS1cpGBiRkcbjfp9RUUTcNqtZNLbtBq1vGFIjjcHpKrC6AoPPrcF6hXS6zduMz28hz1SpHY6BRC3LyRLl95E7cvSDA+RKtep5RLYXO6sBlzPH46z8GRK7iO3HQcLZVtXF+IMr8+wuJykEbTgUBQr5bNmo6Ig1JWpd7yohtVGrU6zXqDarlCo9ZCUR006i1qpTwbq1n0bher3YvPiPL976ZwewPUKkVyiSqaxWq2BQuDaimHzeFG1SxYbQ40qxW93QYVGtUy2+ltVFXj4BMfwesLsbF4jVajAYDLF0QBXP4A9WKRXGqTci6Dze5k8sijoEKzVsEfHQRDJ5vc5Nj4ARRFYe36JbPu49AJXN5A31a+lEv3u36qxfweo7D7iduuEfXaiXhufsnaDYnk7txTIfK5z32Oz33uc/fyEJKHlN31IXBzGF0mkyGTyfRTLQDnz59HVdV+uqW37eXLl7lw4QKjo6NEIhGzvbVQQFEUXnrpJbxeb1+weL0+DM3G5YV12oqNfGobl89PGKtZvBgbYnt5nlxyA48/TDg+SqNaJLe9id3lYvLYI5QyKRxON+H4CM16jezWGragk067yfbydfzR53A43bj9IRAG2eQ64YExyvkMVpsdlzdAu9mgUS2RWJln7uJrtJtNvEEzotKqFzk6vcKHH/sah2fK/fOvN91cnpvg6sIMq2tOUttrNKtlQgNBTnzoWebOn0EYBvVqaceILMzIzFEUYOHCWebPfw+rw0l4cJRiNoHe6dJu1MyWVIuFkeljeEMR0uvLJAvLoJh+JbrexeZw0ixVEQKatTKaxUYwPkQgFCO5sUyzUqLTbqMICA+NEYmPoGgqM6eeolmrkU1sEFEAw9Q0jVppZ47KFAidscMnEQZsLF6hUSkxMnMUDEGlmGNw0hQahm7g9oXwhSJ7xIZAcOixZ/cd0Pde4HVYiPkcxHd1qXjsMtstkbxTHqh/Na1Wi1brZq66XC7fZWvJw0xPIPSm1vaERyaTAeg7nQ4OmrbaV69eJR6PEwqFyOfz6LrOxYsXefPNN9na2uKpp56iXC5jGMYez4//8fW/YLvU4sr1FbZydWqlCm5/kEBskFqpwMbcVQKxQTAMKsUcVpsNgEo+zXKthj8aJTI4ZtqYRwWh2AgCYba9CkGrXsXlDRCMDZNZX8bmdBEZGqPVrJFYXiC5uogQBnaXBxQVhKBRq3Lle9+kkE5gtTuhu8nx0fM8cXIej7MCgGHAlRtx3rw8xfxKhPDQNA63G6GsgGG2kXaaDa5875sgBKGBESr5LN1OG5vNzsFHnsbrD7Nw6XVazV5ERaCpFgr5BHqnjaF3sTpcdDtt7HYnLq+fcj6DZrHi8gdp1Ss0qhU01YKh67j9IewuD06Xh3arydjMMRYvv4E34AMVRqeP0Go2CETjnHr2s1QKWZLrS7i85rTfermIy+MnPnYATzBMtZDrD/fzBIOkN5aJjUziC0X7NRu7W2fv5DZ6ryMhmqoQdNuIemw7Y+gdxHx2mVaRSN4lHigh8qUvfYl//s//+f1ehmQXu1Mot7bb7m6xTSQSfd+OH6Qdt/fzXtQjlUr1O2FOnz4NwJkzZ1BVFV3XqdVqdDodfD4fy8vLAMRiMdLpNIVikeDwJAsFg9TCJbaWrmNzOLE53NicLlr1Ou1WHavdSTGXIrO5gsXuQNMsaA4HertDcmOZsekTOD1+ctvrNBt1/JE4igK1csm8DpOHKCQ3adRqhAYGWZ+7SrtRp9WoEYjEWUpsYLU58IWjYAjajTo2p5tGrUy7WWd8JMPHn0ny6Kk8Fs38RF9rOPju92O8dCZCpe6j02qBksXtj9OsVWg3aljtDjqtJuWCmd4IDYzQrtdQFIVOq0k+nSC7vUF2ax2vP0y70aBWzpFYnkPXdYTexTB0NM2MBlUKGRrVMkNTh3HlM6CALxChbrWh1co0alUUwO7yMHHkFPnUNvVygXIxSyg+jCcQot2ok0tu4fEHUBTz9z88fZTh6aP9AXqw1/Brt8gYmT7GyPSxff82ekJDVRQ0lX76TgiBboDxLpS52a3qzpA2C36nWTQa3JmvEnTZUGVqRSK5Z9zTYtU9B1KUtyxW3S8iMjo6KotV7yO3ttLe7bGmaei6flsB6Z0KS3vC5lY31O3tbXK5HACGYTAwMEA8Huf5559nbW2NdDpNJpMhHo/jcDhoNBpkMhnaukGmUEFxegkMjJDdXKfbafcLQUemj6GoCpVchnarRWZ7hWatgqqZtRA2hwO3L0itXKRZr+D2hfAGQlgdDkKxER77xBcQAlZnL1BIbxOMDzFx5DSr1y6QXFui3arvCJ0anU4bq9WGoioIQ6CoKjaHE7oVjk7P89yHtxkeqPSvxeKKh+++PsrZN72Ehmawu1wkVhdQAKvNgccfpt2sAQrtVoPM9hp6p4PN6cTh9ACC0UMnAFi5doFWrUZ0ZJzh6cNsLc+xcO77NBoVVBQsNgdufwBD17FY7Ti9PpqVMg6PF28wgtVqw+Z0027UyCTW0TQNi83B4PgMiqpSSG1RKefR220mTzxObHiCUjZFs1bF4fHgcLgID44yfeqpdxSt8DosRL1mTUXAacPntOCyWXDaNBwW9Y4tq4Yh6BgGXV3Q1Xc9Ngx0Q2CIm2JFVRQ0RUHTFGyait2q4rRqWGU7rETyrvLAFKu+U+x2O3a7/X4vQ7KL3UWhPR+OW9Mpu0XGbiOxt2rH7UVSdruh9l7PZrMAaJrGmTNnAJiZmaFYLAL0oyDhSAR/fIyXXj2LYnNisdlw2QTJ5QWsTiedWoNWo47FYqPdatBu1KhVilSKOVq1KqpmxWZ30KxVaVRKtFtNbHYHqmahWS1RK+dx+0IMTx3FG4ywcPF1EMKc0moY1MoFXF4/KMJ8r8NFp9OinM1gcdiJDo7TbdWYOVDm6cfmODg2h92mA9Bqq5w9H+GlMwNsbLtp1io4XBpg4HC5OPr4RymkE1QKGQqZLQCsVsdOp4nA5nABgnIhgy8YpVWvM3X8EXKJTdZSW2wtN+i0W1itNlz+AK1mDSEEmkVlYGKGRqVEKZem3ayjWiyAQjA6AIqC3ekiWS5gtzuIDE9is9soZJJYrFZQFSyahYGZaXyBMKpi1oTUqyU2F2ZB1RBCsL08B9w5dRL22BgNuRgJOBkMOH/g+gpVVbCrGrI8QyJ5OJH/dCVvyW4xsnvk937D5d5q+NxubhUpu5+fPHmSy5cvk06nKZVKCCF4+eWXcblcqKpKMBQhU6qxvZIm9eob1ApZNJs5QdVqs+P2BylmkpTzWTSLBavdQXp9mW6njcVqw+H2oHc62J1u03sinyG5PI+yY7Bltqt2UBUrICjlUlw+84I5zl6FyaOPUC3lmTv/PZxuL1MnHmfpynm2V27gDUbxRaJQfZNT45f51Kd0wsFG/7xTaQd/8U0333rZRbNtR++WsdnbZm2G10+1WMAfjhMdGaeQ3kYAbl+A7PYGmdIqVpuD6Mgk7WadarGAze7E6nCQ3lgGIQjHh6hXS6RXFslsrRCIDuF0+2h5qtgcZhtuJZ/F4fHij8SxWGx0ux18gfDOIDtBOZ/H7fUxMDHN8OQhtlbmIJ3AG4ziD8VoNqsMTRzC7Q+CEHiDYQanDuL2BRCGYGjqEOVCZk8RqaYqjIacHIh6mIi48Tms7/JfqkQieRi5p0KkWq2yuLjYf76yssLFixcJhUKMjY3dy0NL3mV2t8dGo+bY+FuHy+237a0/3y1m9ouUqKq6J+VTLBYRQpBMJrlw4QLD41MMH32CLJsU63kq5QLNagVDGFg1C3aXm1xik2I2id7pmiPuFbPFtNWoEYgOYrXZqVdK2F1unG4v7WYDXzBCa7BGIblJJZfBEwxisTqw2Z1YrHYK6W3ajRpjR04SGRqjXMihAKH4MInVBTKbq1g0wZNPOTk4eYNTRzNEQrX+eTVbFt68FOXMayGWVrw063WajRLtRhkBZq1HfLi/fSmXYf78azhcblqNGq1Gg0oxR7tp1rZ4fAFaNgcKCpVSnmIqgd3jIZ/eJhQfwh+MghB0O21qpRy6rjMwMUMgGie7vUG1lMMbjBAbmqBSKoAQDB88itANysUMdoeNqeNPEB+bIrm2yMzJpxmeOkx2e53Rw8cYmjhEKZfut9PuLi7t4QvHsKgKY2EXMzEvU1G3LPCUSCS3cU+FyJtvvsnHP/7x/vNf/dVfBeDnfu7n+E//6T/dy0NL3mV2C4teZ0s0Gt0zXG6/bW/9ea9tV1XVvgjZ3t4mnU7360vA7JrJ5XKsr6+TTKVRHT669iA3NtJs1d7AZndRzKWpFk2nU02z0GrWKWW7NMplUATBgWFQFGrFPO12E6fHS6fVIBAdxOZwUKuUqOSzoMLY9Ak8gRB6p0MxvU2zVsMf9eBweynn0rQaVawOB/nEltmHiqDTKDAU3Wbq9DkOjGY5MFnHar0ZAeh0FG4shjjzqpOL16LU6zp6t43d1SUUGyS5UcfQa9icDtw+/87cmUG8wTArV8/hdPt47JM/gtPj58zXfp9OvcbIoeOgC7ZX5hmaPITd5TJt0l1uU3i0m+RTW9jsTkamj5FaX6RayCEQjB4+welnP8vF7/w5Cxdfp1GtMHH0EY5/6BPUKyUMQ0fVNMIDI3gCQbPbBcHM6af76ZWtxVmEEHedNrtbfByIubFbpPiQSCR35p4Kkeeee473qBZWcg+5tWC1J0TejkX7rTUjt74HIJ1O893vfpfDhw/z2GOP9WfHtHUD4Y4wl1xAN0pExqbJbm+wvTSLLxLHbnfStNmw2ZxYvDY6qRaVfBZVVbG7PLSbTRB5UBSMbgdQiI5MEYjGSW+s0Gk1CcWHyae2SG+tYLXa0awWbA4XLn8ABNRKBTSLBc1qo5xeZnJglUcmbQyGVhgfqWCx7P37LpY0rlxzcPFqmNn5EB3diaIolPMpdN2sDUFAfsfSXbNaEQJQFKw2O8V0guTaIhaLFbc/wNLlNylmE9jsDsKHRnG5fdSrJSxWG4X0Nm5fgNjoFHaHi5VrF3B6vXRaTWw2J+1GHbcvSCfaMiffZtPUK0Uefe7ztOo10ptmse7Q1CF84Rhbi7MkVhcYnJjZM+Z+d43H8PTR/uPdr9ssKhNhNwdibiYjUnxIJJK3j6wRkdyV/bpmbi1SHRoa6s94ubVrpjd8rlfgeqsYuXz5MkIIDh8+TCqV4sUXX8Tl9fP92TVmV7fRdYPQ4PhOhAUiQ6MUs0nTvRRwe4N4g2EatQqtRhVd7wIWOq0G7VYDm92JPzKAOxDG4XSjaCrp9RVyqU267SYuTwCH20M5lwGEOTvFYTfbZK1Njh7p8sTjDg4frDIx1kC75f6ayarML/m4dBkuX1JJpm1YbA40iwWb3cBibbMzlIZWrYrN6UCz2WjWynQ7bcLDY2CYgicQHaDZrFEr5hmYnGH04AmWrrxBp9XkxDOf5sjjH+HCK3+Gzemi02ogDEw/j0MnKGSSOD0es90XBZvTiT8cpdGoMXb4JAiDtetXWJ+7yujBY3zo8z9JamOZaqnQP5eeyOh9eLhbx4tFVYj7HIwEnYyFXQz5nbLFVSKR/EBIISK5K7uLTfer6djtDZJIJPYtTB0YGCCdTpNMJvv7SaVSzM/Po+s60WiUT3/607z+xjn+w+//IalKG4vDTSGdoN2q4wtGiQyO4vQG2Fy4hi8cJZdYp9Nsors7oChU8hmMro7d4UTvdul2OoBA1yzo3TaHn/gIrXqd9dmLNOpVbHYHgeggnXYDlzeA1Wqn09jm8HSV04+qjA9mmJzo7giPm2226YyFK1c0Ll/VuLHgZmWhgmYVqKqCbnRQ0Gk1amhWG1rIisPtoVmrolktaFYrjVqNTrsNgN3polWt4vYFiRw4SnJ9kVoxx8DkQVweHxvzV7Fa7YwePE4oNkx6Y5nByUMkVuZoN+ooioLbF6CQTSIMg8c++ZeplQtsLc7idDgYmzyAx+dDRWFk+jDrUzNsry0RjkYZmjrCyMxRStm9rqS7Ix6qouCwqrjtFnxOK36nlbDb1rcwl7blEonk3UAKEcm+9IpKdxuQ7RYct5qT3cnIDEyxEo/HSSaTXLx4kXg8zve+9z3W1taYmJjAMAS/81+fZ6tuYavQpFGr4OwahOKDJFcXyW6voQDOahlh6DjcHuJj01RLeYqpbUrZJKpqxWJzAALNakPvdk330G4XzWr6hNidLmqVInq7bfpl2KwEvSkeObHGiSM5JkbLqLfYSWxtKVy6DLNzTuYXfWysN0CA1W7H0HUEAqHrGEIFw8DAQNVULBYbCEExvY3D4yMQGcDucFMt5WhUK6iaRi9r2azXyCbW0DstBiYPcuSxZ1mfv4owDGKjkxx98mPMvv4KAkFkaIxAZABQ8Pu8BNx2UmtLPP3hD/GLv/ALVAoZXv3OK5TLZbxeL/F4nGPHju38rp687XfX1afpGgJDmH4bCqYAsWiK9NaQSCTvCVKISPZl9yyY3amUW4tKe9zNOVVRFHRdp1Ao8OabbxIMBikWi6iqSrJYY3kpz43Lb1LKpYkNT+KPxDAMQaNaxe7yUEgnyCY28AUihIfHqOayhOJD2BwOyrnkjmungWa1IHQDzWpFVTUEBoZu0G422Ji/SrmQASF45EkvH30mwYnDl4hG9k6zTWU9XLlq4fIVlWvXLBTLNoqZNIbeRNXaqKqGzemi3WgghI6mmi2ohtHF6OoomgpYELqOrndRNQu1omnO5nC6iQ5PkEts0mk3MfQugegAybVFHE4PwweO8rEv/izf/8YfghDERidpVCvMvvEK4YERitlt6tsLfP6zn+Hw5AjrywsUCgXUQ6N4vV42Fq9z+vRp7J/4BEII0uk0hmHcJhh3Y9FUZDmHRCK5n0ghItmX/QpR0+k0V69e5fjx43d0Tr3VBn73vl577TWuXLmC3W4nFBugrHpJLiZoVirkkptUC1lAwR+JUSlm2F66gdPjN+s/6jWS5SL1ahkUyKcT1Ep5VEXD7vTQbNZoVMp4AkGa1SqqxYLHH6ZVq1JMbRNwbPPjP6Ly0WfqDAwY/bW12nDlqp0r1yOsJGZYWcxTyiQxhI7D5aLbru+Yk5sOqUIRtOp1s8NE1bA5bAgh6Lba6N0uGhoubwDYma3iC+Dw+Gg3auidNm5vAF84RrfdotWoUSnmzSJZmxVPIMTsm9/B5nQwMHaAk89+muUrb1DZWuCTj00T9xyjVCry0Y8+ZZrBjY+QTCaJx+N90bH7et9terFEIpE8KEghIrkj+5mTHT9+HF3X+y25d+uS2e0jkkwmKZVK2Gx2NrMlLq+mCQ2NIQyDzaVZLBYrQ9NHqZeKbC3NMTx9iEI6QWptASHA4fKgd3USa/Ooqmaaknm8AJSySYRuAIJ6pWxalwMue53PfarJxz5SZ/rAzfNqNOD1Nx1897tW3njTQNft+MJeOu1Vuu0W3U4bVdNo1au06jteIMJACNANA0VVEQicngCdZoN2p4UiFFSLBVVV6bRbOJwuujvmaHani5YQaBYrXb2L0+7GH46RS25SLxcYmDzIgeOPsbE4S3JtkaNPP8dzn/48hwY8/PqP/wNuXLvC1atXGZwZ53Of+0t7fj9SdEgkkocdKUQkd+VWc7LTp0/3xcZ+zqlCCDRN2zN7JpVKcf36dQq1FjlctDSdWjWD2NqgXMjQbbfwhqK4dyIJwjDYWrwOQiAEGIZOq16l2ajTbTVRFBVhN7DuDKrzRwaol4tUywW6nSZPPW3nC1/o8uRjaaw75p2dDrzxhsJLr1h47fsquurE6XTTbpVQNZ1SNmHWleg6NpsdQ++aRaVCYLU5sDqcNKslQNk5RwudVgshBMIwi1VdvgBOj49WvWaalDndNKpljG6XQGyQbqdNt93CGopid7vBMAgPjjE0dRC3P4jXH2Qw7GfSo3PYUeLTTzwJ3Bz614t4SCQSyfsJKUTeh+yXHunxVlNw77T9reZkd3JO7U3Njcfj6LpONpvltdfOcmMrTarcolmrUSvl6LbbJPOLGN0u0ZFJxo+cYvHS61itpj17cnUJFHAHQlRyGapFs83U4fbQbrVp1qu0mnXi49MMTExTWD3DT/wV+PSnBPF4vb+eG3MKf/EXGi+9DKWiwO6wY7HbcTicdNpt/JE4tXKBZrWMoqogoN1q9G/6DqcHm9NJq1Yzvd0VsFhs6LputtACFosFtz+Eyxtg4shpMttr1Ep5AtEBGrUKvarUoYlDoCgUUlsUklscefo5jjz2EYqJFUaCDn7y2Z/ApppusreKjp4YkUgkkvcbUoi8D9mv0BRMUXHp0iUGBgb2FSK3ipQ7pV1SqdQdnVN7rbqpVAqArtXDpe0ySzcWQQg8wQigUK+W6LSadNttipkEVrudZr1KuZGhUspTq+RpNxugQLvRQO+0QVHotKxoVo1Oy0BVVcbiq3zhuTmeeqLV9/io1lReetnKn31NYXHJQFE1DKOLxWrpRzDq5RKKpqI2anTbLTSrBdViw+h0aLdaIAxsTgeoCq1aDV3v4PYHsdpsdDptOo0GnW4XFTPlYne58UfidFotLBYbwweOYnM4cdWr2N0ehCGwu1wcfORDzF94jUo+zalHHuVv/ugn8BoVshmzxkPTNE6ePClTLRKJ5AODFCLvQ+7meDowMLCnxqPHrcZl+03NHRwcJJVK9QtWY7EY6XR6X+fU//D/+11m15JokXGa7S42u6M/Wr5cyIABqmZB1XSqxTwoYHd6KGVTVIo5XD4/wjBo1qsY3Q6qxYIQBo16Ba9H5ce/qPGFLzQZG70ZObg+7+Trf6bxnVcE7ZZCq9MEXaBqBoYhzLZaVUPXOygoqIrWb+e12h10223TEE0YqJoFvWtg6A1A4HB78AZjtJsNnF4/9XIJqmUURcETjODy+FBUhXarhs3hJDoyisPlRVE1HE433mCYarFAs1rk7/39X0IrbNCuFQkqNQZHhhkdGX7H0SqJRCJ5PyCFyPuUu03BvdV2fXekpBfhuHX7XjtoMpnsixBFUUgmk2i77EYHBwe5vrTOpY0CqyubRLsarVqN6MgEzXqN7ZUb5k1cBU2xgA06zTqVfIa2q4HN4cLQS9QrJTqtBka3C6qKqlmIRbv8+I91+dzndJxOs+22XodvfUvjGy+6WVuzmCJD1eh26tDtomgWVFVD0xS63S7tdh27y4sC6N0ORsc0ROu22xiGGWXR7A66nTboBh5fEM1qxRuK4nC5sbtcFFPb6N02Lo+PQHyI8MAY9UoBq9VOeHAUEDSqNcKxUWJjB1BUiLisTD8yw3DAzsRYlMHBk/3reuvvTCKRSD5ISCHyPuZOtRz7iZRepGS3T8hu0aJpGslkkoGBgX69Qu/1XhomHh/g977+Cn9x5g3qHUEpm6SUTxMIRxmePsLW0g26nTYun596pWR2pCjQabVMUaAbuHx+VNVKrZRHEQLVonHokOCv/kSTj3yEfvplbU3ha1+z8t3XfJTyLdrtBoqiomkqnWYHQzcFjKKoqBYLVqsNvVbDMHS6rSaqqtFuNwAVVVHQu11Ui2bWf3TNIlWL1da/lt5AaGf2TB6by43HFmZgYobo8ATNWoXYyASlbAqHy0N4YAQQDA1EOTEe4Ec+8Qz1YnZPOmv370EikUg+yEgh8j7mblNw79YN0+t66c2O6XW/nDp1as9+FEUhFAqRzWY5f/kaX339BluJNMV8itzWBl29S71QpFmvAArtVhNvIEwuuUk5n0HTVGwOM8pQr5ZpNeoIw0AYAqsGTz8t+Kt/VXD82M30y7nzNv7bf4cL5xVzUJxDx+nzo9atdNtNDMPoG5arioqqabh9QfROG5fHi653MTpdOh1TbKiaOQfGajdnxBiiiyosWOwOXF4/AFa7AyGg22mjWe1Eh4cZPnAIp9uLAJxuLy6vj/jwCKNDcZ594hGeOj7TFx9+pxW/U4oOiUQi2Q8pRN6nvNUU3N0iJJ1Oc/HixT2Rjmw2SyaTQVVVQqEQp06d2pPGSaVSffGykq3yje+8gWEYtFstipkELm8QXyhCq1GjUa2wvnAVBKBCo1JGGAZd3UChicVmxWpzoLfLNGslnnsOfu7nFMbHTUnR6cC3X9L4o+etrKwI00fEYUcY3X53id1l+nZ0Oy2zS0XRUFXNjIR02zjcPnS9S71aQhc6CgLVZoed2hGXx2cWqXYFVrud0OAYeqeD3eliaOow7UaDWjlPYPQAhx97hvj4AWqlHNZOncmRAQ5PjnDswChjoyP934EUHxKJRPLWSCHyPuROhabAvlNyL168yNWrVwH64iISibCwsEAgEOhHVC5cuMDAwAADAwNcvXqVcqPDjZLCmfPXSWysUC8X0TQLFpt9xx/EHO7WqlXptJroehchTAt2BRVV1TAMnXbLoNNu8MyHO/zcz8HUFICgUoGvfhX++E9UylU7RlfHMLpmAajbDTtRimoxhzBMUYWimLNgHDY8/jDdbptOs4miaKiahtFum9uqGlaLHV1v4wvHsNqd2Dod9G4XbyhCt93C7nJz5MmP4HB6KKYThKMRjp04xcRQlIOTcY5OPcHsNfO6nTw0IVMtEolE8gMghcj7kFtNxnr0ul6SyWQ/wgE3PSquXr1KJpNB13WWlpZYW1tDVVWOHDnC1atXyWazXL9+nYOHDlPExVf+v/+VeqNObnsDvd3B7nDRatRpNxu0GmY9ht7t0G210LtdAPSu2ZnicHuxWG00qiUOH2zz9/++4MgRc53VKvz3/w5/9EdQqwEKKEprx1LdhaF3KOcyONwebHanmW7RDSxWKzabnXarjejo/fZfgaBeLqIooKoWnG4vmtVKu9XEZnHRabcwOl1GDp3A4wuS3lzBYrMS8AeIe2wcOzRB8PEZRgZjnDx5cs81tmgqyWRyT9GpRCKRSN4+Uoi8D7lb+2csFiMej98mUk6fPk0mk+HGjRtomkY+n2dqagqv10s+nyeTybC2tkax3uLPzy/iCA1Tb9RZuXqOUi6NPxxn8uijJNcWSG+tmkPdOl3a7SZGtwOowE6th2HQbTWJR9r8rX/Q5mMfM2/ijQb8t/8Gf/S8hUq5e3Nxium2qhs6VocDi9VOt9Oh22oidIHVakdXOiDAQOBwuRCGgdHVsbucKEJB73QwULDZ7XiDEVAU7J123yfEFx/gxGNPYTOaTERcHDwwQSQYoFQqceLAMJ/97Gff8dRhiUQikbw1Uoh8wLiTSEkkEoRCISKRCLquEwwGMQyDcrkMQLpQ5PzCJolcGbvDSe7s9ykXMrSaDVTNQrfbplLMgaLQbtTR2x263c6OCIG+CEHBYlX4Gz/V4md+BqxW0HX4xjfgd38XCgVzW63XvQJmbclOCWqrUWd4+igIyCbWaLcaqJqK1e6g026ZduualdDICO1mHc1i6Xe6GLppC293uhmaOkSn3aSSXCc2PcPpk8c4OBVhenoaVVVJpVLE43EikQiGYdzmuyKRSCSSdwcpRD5A3M36PZlMksvlCAaDKIrSrxGZX1wiW+vQsPjI17tUiznSlRK1coFGtYRmtTN57FFWrp3n8ne/gd3lRe+aXSlGT0jsYvqQyq//I53pafP52bPwf/9bWFu3IPReFMTYESEqKKJvka5YragCcltrBOJDWDQLrW4NvQuKXcHtCwJgd5r1I5rFQrNWxega+MIxApE4doeDoNfDQMjNUHSE5vQgbrcbn8/HzMwMJ06cQAhBNBrFMAweeeSR2/w+JBKJRPLuIYXIQ87bnSuzvb3dr/M4evTontklL7zwAm+++SZ+v58Pf/jDxONxvvnSS6xmqnzv2gr51DYoKoHIAJntNUrZJA6X25y30qkw9+YZOs0mum5QrxTQLNbbbtwWC/z0T8PP/IyOxQKlEvz2b8NLryhggGZR0TXNDI/0MVBUc6KtuQ8b3W6HRrWCMLZweNxY7Q70dgurzYHLG+Dw48+ysXCVXGIDVbMQHhjFanfgtKp85Jln+Os//pdZWpjj8uXLeL1envj0JwH6k4X3m2YrIyESiURy75BC5CHnbnNldlu29zpfCoUCZ86cIZ1Oc+LECVKpFN/+9rdJJpMcPHiQdtfgm+fn+cOXzpFYN4e3NRt1SpkkW0vXTeOxbhfNYsVitVEt5ek06iiaht3upt1p0u10EMbNGo8DB+A3foN+FOSVV+DLX4ZiESx2c9Ktvk/0BEDoOjanG5vTRbtRx2g3QYGu3qbTtuJwulA9XgBa9Qq51CZOt5eB8WkCwRAffvpp/spnnuPy+bOsra1RLub5+Mc/TiQSAeD48ePSUl0ikUjuI1KIPOTcba7Mfu27uVyO1dVV3njjDd544w0AvF4vdqeb1WyNf/Fvfw+r00dXKFSLObrdDt5AiEJqi3a9gt7VsdjMyESn1ei36ArdoNttY7PZadZrpjOpBX7mZ8xIiMViCo/f/m14+eXdZyBQFHXvSWkW6KdpBJ12C9Vi/qna7S4sNhvtptmdY7FaiY9PY7HYaDaqFJKbHDxyhJ/963+dEzPjGIbB0NAQ0xMjPP/882SzWVlgKpFIJA8QUog8xNyalulZtqfTaTRNY3BwcM82PTfUUqlEtVolnU5TrtY4/MRH6HqGuPbmi1TLRRACm92OJxRma2GWTruJruvoXTNt0m130PUyCuquFIzY8QkRKKrKgUmD3/gNMxoCe6Mgu+m2WrefmGGgaFYUDAxdp9vpQKOGxx8kEBumVa9SyWdpt+pomvkn/PQnP8+wz86l117GYzGwGc3+NNteeuqLX/yirPWQSCSSBwwpRB4ibhUeu9MyANlslkgkQj6fxzAMotEo8Xic7e1tkskkiqJgGIY5MTeZoljv0BQWki9/B08gSLvVpNNoYHU6KWbTZtSj3aRWLiEMHc1qA0Wgt9sIHQQ6oPSPb3asdPnZn9X56Z8258IUi6YAeeUVdm17BzGgarDjlGqz27A53DRqFYShm625hg4IXL4gdpcbhGBoaBi/Q+NwUOELX/g0o2EXb775Jvl8nqGhoT3ttjIKIpFIJA8eUog8RNxaD9K7sV6+fJlcLkc4HCabzWIYBvF4HH2n8HNoaIiXXnqJ5eVlUFRurG6yvrGJyxcAoVLOpdGsVty+IFa7nXq5SLmQoV4q7rTE6uiGjmHoCMO4ZVU3RcXMtM6v//rNKMjLL5upmJtRkLtHIxRVRbNYsTlc6N0OQug4PV7sThfNahW9q9Oq1zh48jDPfeSjjEbc2FVBpVIhl8uRTqf54he/yMzMDJFIRAoPiUQieQiQQuQhYr96EDDrPvL5POFwmEgk0hchveF1iqIQDof59vfe4Lvffx1DKPjCAzTrFbrtDp1Ok2a9TL1cJDo6Qa1SpFEt06xXMAwdVbOAYFd77V4sFvibf5M7REHuhMIeYaKoKIDV6cTl8VEp5ui220SGJxk7dJz0xgr1YoaDUxN88ZNPc3BmnJMnT/adYqenpwmHw7L+QyKRSB4ypBB5yNgtRnZHQnoipDdJ9+LFi1y7dg1VVRken+IPX3qD6+tpNKuDdrUECtQrRfRul3argdANhNIhuTqP3t2JfgiB0TXt0xG3RkJMDh6EX/u1vVGQL3/ZbM+9O4LdYkTTNBRNw2h3aDXq+CNxbHYXA+PTHDl8mM9/5AkquSTJZJKtzU0OHTzYL8iNx+O3OZ5KJBKJ5OFACpGHkF5nDEA+nycajaLrer9G5OLFi+i6TqlUYnEjwYuzKeZmr1Mt5gjGBqkUcxQzKwgBqkXD6HZRFA293aLZaaOpGjaHE522GeLY4+1hYrfDz/4s/LW/Zm5SKJhpmLtGQRR1j6BRVBWrzbaTQjKH1WlWKxa7jfDACB//1GcZCdjxOW1MT08Tjz/Hq6++iqIoHD9+vN+SLAWIRCKRPLxIIfIQ0UuzAH33z8XFRc6ePcuBAwfQdZ1CoUAmk0HTNFYyVW4kqyCq2J1u2o066c1VKrkMrXoNq9NBu1IHFNqtOkIINEXB0HX0TgdV01CFwGCvEHn8cfiH/xB69/+3HQURxh4xomoWAvFhNM1COZ9Bb7fxhMIcPHSYkXCAZ4+N89xzz5FMJgFzTk6v80WKD4lEInl/IIXIQ4SiKFy+fBmgPwU2GAyyvr7O0tISgUCA1dVVNM3C1dUEhVoHu8tNpZDFGwyDqpLdWqHdbqJaNVq1ihkJ0bvoegeh61gdToTRodVqoKgqyq4yjmAQfuEX4NOfNp+n02YU5Hvfe5vr1ywoioKiWM3hdG636Xxqs6FZbHjdTmYmhnnysUdRFIV8Pg/AI4888q5dQ4lEIpE8WEgh8pDQs2jv1YSAGRU5evQohUKBs2fPcvDgQQKBIN+9eINEKoPHH6LZqAOCldkLtBo1bA43QoDebe+kRMzWWIGKorLjFSLA0BGGjlAt2B0qP/HjBn/jb4DLZXbYPv+8OaSu0di9ylsKUHdhdTjNnwuBqmn4IwOEB0cRCII+H5/7+Ifw2kyh4vf7mZmZQQhBMpmUxacSiUTyPkYKkYeEVCrFwsICwWCw7w2iKAqZTIZSqYTX62Vra4vlTI1cqWIOgFMEDqeLYmqb7NYaQgicbtMO3TAMDMMw23EFqFYLqmKh2+5gTspVUFXBJz7R5e/8HRgYMNdx/boZBZmb22+V+4sQm9ONZrHQabVQVBVvMEJ4cJRAMEDc7+RTH/kwzzzzDLOzsyiKQigUQghBPB4nFovdi8spkUgkkgcEKUQeEgYGBpieniaXy5FKpfqvf/WrXyWVSvGJT3yCnBrk0te/Rq1YIDjgotWos3L9Is1aBUVREUKnVi7Q7bRRFQ2bzUGrUQXA6LRRrTZQFVTgU58S/PRPw9iYeZxUCv79v4dvf7s/DBdQMUXLrexERhQNzaKhaVZQFdz+IHanm+jwKCePHSNgEwwPDXLw4EFisVi/+0VRFJLJJLFYTNaCSCQSyfscKUQeEnably0uLlIoFNje3iadTuP1evnOheuUuxbTcVRVSK+vUMgmqOQyKIqCZrXSaZkD43Rdp6u3EYrCnnSKaPP5vwR/42/A8LD5UrkM/+2/wR/+Iex2Y9csVvRuF1XTMHZ11ahWG4YwsCgaqmZBs1gx9C7+8ADHnvw4NqXDoNfCk48eRdd1yuXyvsWnMh0jkUgkHwykEHmIGBwcJJVK8cYbb1Aul/F4PIyOjrJVqHP++2+CAuGhUdzeIDfmv0uzXkNTVax2B129g941DckMwwDREw8KVit84QvwUz8F8bj5arFoCpA/+ROo12+uQVE1VIsFvdtBUTWM3SZnioowBC6POUTPH4lTKeRQFJg8fJKnTh5kyG/HYrHg8/mIxWIIITh+/Ph7cv0kEolE8uAhhcgDyH7D7FKpFIqiMDs7S6VSAaBarVJrGZydXQLV9OHIba2T2V6nUSljCAPN7kQXOqLbQdVUuu2bYQ2bDX7kRwQ/9VMQiZivZbPwB38AX/saNJu3r00YOnrbFDGil5ZRLbg8Puq1MggDTbMyMn0MRVMZmjiEz2UjYOkyGnIxPT2NYRgMDAzI1ItEIpFIpBB5ELl1poyiKKTTac6dO8fW1hZDQ0NMTU3x+rlzfO2FV9CFIDIwCopCdnudWjGHqmkIXdCqV0BRcTjdaBaNbrvVj4D89E/fFCCpFHzlK/D1r0On87ZXCoA3GMLmcKFZNAxh4AkE6XbbhIIDfPTpRzk2PkCpVOLAgQN85jOfIZFISC8QiUQikQBSiDww7I6C3DpTBmBpaYmLFy/idDoJBoOEQmFKSgBFs9KqFCjm0jTrFTLrK4AwJ+UizDQM0KybUZSPftT0Aul1wSST8F//K/z5n0N3/1Eyd0S1WLG73Ti9PkKxYTzBMB5fiHx6C7/TyV/55IexqYJYLMbHP/5xOQVXIpFIJLchhcgDwu4oSK9zZGhoiMuXL/PGG2+QSCRwOp14vV7W19f5i++exRIZZ/TwCW6c/Q6ptUVajRqGYaAoINotUMDh8tCsV5mYgF/+ZXj0UfN4mQz8P/8PfOMb71yAoGrY7Hbc/hD+2AAW1YonGOaRj34Oi0XDVUsxGfPxoQ89jaqqGIYhox8SiUQi2RcpRB4QdkdBNE3rT8/NZrMEg0HK5TKjo6PMzs6ysrlNug7trbNYbQ7sbg/FbApFAUVVEF0dgcBqc6B3G/zUX9X5238brFaz8+UrX4H/9//d2wXztlE1nC6v6QUyPEowEqfdbiO6Oq1Cil/8//x1RKOMYRg82lM9EolEIpHcASlEHiB2i5FsNsvCwgKhUIgPfehDALz00ksUiiXWUwXK5SKddhPNYqVVr5viwxAIQ8cwuiiaBae1zD/9X+H0aXP/r74K/+f/adaD/EAoKm5fgFMf/UtgCFrNOnaPl4FQHEenzONjfk4dmvrhL4REIpFIPjBIIfKAsXuyLtC3cw8Gg7RaLZY3tqi3OnTaLerlMnrXrCzV9a7pCKKoCGBmvMX/+r+a7bj1uilA/vzPf7A1aRYbmsWCZrHhi8TwByOMHT5JZmsNo1nhxz/1JEcmRoj3en8lEolEInmbSCHygLB7sm4mkyGbzTIzMwPAjRs3WFlZ4fSHnuPi/DqdVoVuuw0qdDvt/jRbAVjtTp5+qsNv/SY4HLC+Dv/L/wIbG+98TYqmYbFa8YUHCEYHQVFo1iqszl3G6fHx4UdPcnTISzwWlYPpJBKJRPIDIYXIA8Luybq5XI5YLEY0GuXMmTNsbm5id7pZLNZwuNyUMgk6nfYeEdLjo882+M3fBE2D116Df/EvoFZ75+tRLVbc/iA2h4vhqcN4AmHio1MU8ynUdoNPPzrNk6enZB2IRCKRSH4opBB5AIlGo8zNzTE/P08oFCIUCvFHL77K9dlZrHY7/tgg2c0VMwSiqDtiROGznxX8439sipBvfAP+9b82J+W+bTQLFosFVbNgtduZPPYYwwcOsbV4g3azRiAU4ic+/wkOD/oZGIjLThiJRCKR/NCo93sBH2S2t7f79SAvvfQShUKBkydPYhgGm5ubnD17FlVVOXt5jvNvvE6jXsFqc+Bwe3YEiABFAVXlYx8T/NqvmSLka1+Df/WvwDCUfY6632uAqqEAVqudocnDDE4cxGaz43T5GJ05QshlZdxa5ehwQIoQiUQikbxryIjIfURRFC5dukQqlSIajfLaa68RDodZXFwEQFVV/vN/+T3m1xP4wjE6zRYbC1epV0oYesccKGcYHDui81u/BaoKX/0qfPnLvQm5Yp+j7vca2OwO3L4gmsWCLxxheOoIzXoVtZ7lxz76IVz2JxBCSFt2iUQikbyrSCFyH+kNsbt69SrHjx/n6aef5vd+7/dQFIV4PM7GxgZXbswTHjnA8NQhtlbnqRRydLsdVFVFRTAy1OVf/AtzbsyZM/Dbv90TIW8TVUNRFBRVZWByhmB0iGoxi1LP8bmnHmdkMMKhQ4dkLYhEIpFI7glSiNxnTu+YfFy9ehVN0/B4PKyurlKr1dhKptHRqBRzXH/zDK1GDZvTgV7pYHTaON3wv/1v4PfD7KxZmPpOakKCAyOomgVD79JuNkitLnDi+HE++WOfJbO9zqnjh/jMZz5zb05cIpFIJBKkEHkgOH36NH/2Z3/G5uYmPp8PVVWp1mp0VDvDB4bZXr5BtZBDtVhNt1Rbm1ajy6/9GoyOmvNi/uf/+Z05pYaHx4kNT+L2h1CBbiWL0m0yGXbx9/7W3+wPppNIJBKJ5F4ihcgDQCKRwO/3Mzc3x8bGBhsbG7QVG25/mHqlTLtRQ+92EYZBt9NGCIOf/ElzgF2nA//8n0Ox+PaOpWpWXF4/Tq8fXyDEYMTPR558hMGYOYb30KFDgBxMJ5FIJJL3BilE3gV2T869lTuNvN9tYHbp0iXC4bDpnLq8TK3Zxupz06lXSK8v0mw2MAwD3dBBwLEjbf6n/8ncz+/8Dty48fbWqVpsxEancHk90Krj0ks8efxxjh85xPHjx2URqkQikUjec6QQeRfYPTl3txhJJBJsb2/ve4NXFIVvf/vbrK6uEgqFeO2117hx4wYWi5V6u05l6Rp6p4NAIHQdXTdACDxunX/yT8w23W99C/7kT97uIjU8gQAej5OjU6O4HHY2NjbY2tri53/+52UERCKRSCT3BSlE3gV2D6vrPd8tQoQQJBKJPTf7wcFBotEoL774ItVqFZ/PRyQSYS2Zo16r0G40MLptNJsd0atAFTq//MsQjZqW7f/6X7+99dndXiKDI4hGhZDTSjgYwG63E41GicfjshZEIpFIJPcNKUTeJXaLkd3pGCEE6XQaXdf3bNfD7XbTaDQol8s4Q3Gamxm6zRZCmNvr7V4FqsJHPgKf+QzoOvzv/zs0m3dfk2q1ERkaIxIM8uTpY9RqNQqFArFYjPHxcXw+H5/4xCdkNEQikUgk9w0pRN5FepEQIUS/ZiSRSKDrOpqm9SMmQgiuXbvG/Pw8w8PDeL1eVte3OHv+ErVSAUXT0DQrXUP07dsDAcE//Ifmcb7yFbNd963QNI1jh2c4Oj1FMpnk8ccfZ3x8nFAoxIkTJ1AURUZDJBKJRHJfkULkXWS3CLk1HbO9vc38/Dxzc3MUCgXOnj3L4cOHTXfVK1e4sbJFpZClVW/QrFXZ64BqipBgEJaX4T//57dYiKJiczjxupwUUgmO/ZUf4ejRoxiGwXPPPScjIBKJRCJ5YJBC5F1id03I7hoRuJmOmZub48yZMwAUCgVeffVVIpEIG6kcyfVlhGHQabdgJy3T41OfMlt1u1340pfMlt07oqgMjc8wMRTF6bQTCoVYXV3lV37lVwBkBEQikUgkDxTvydC73/md32FiYgKHw8FTTz3F2bNn34vDvmfcKkLAFB9DQ0P9mpHe616vl0wmA0Amk+Gb336FtaUlDL1Lp93C0Lt79h2JwD/4B+bj//yfYWcMzf4oKtGBUQbDXkZGhvjiF7/IqVOnALhy5Up/TRKJRCKRPCjccyHyB3/wB/zqr/4q/+yf/TPOnz/PqVOn+OxnP0s6nb7Xh37P6BWm3pryEEKgaRqJRIIXX3yRS5cuoSgKjzzyCPV6na3tbZKpBLVSgXarfZsIAfhH/wi8Xrh+HX7/9++8Bs1mJxCNEwm4sVg0DMPA7/fz5JNPcurUKSKRyLt92hKJRCKR/NDc89TMv/k3/4a/+3f/Ln/rb/0tAP7tv/23fP3rX+d3f/d3+Y3f+I17ffj3hDtFGRRFQdd1FhYWWFhYYGJiAl3XKZfLdA2DelvHMAyEMNhvKu4XvgBPPQXtttklc6c5MprFSnRolMNT4+idNgDT09McPXqUeDwuoyASiUQieWC5pxGRdrvNuXPn+NSnPnXzgKrKpz71Kb7//e/ftn2r1aJcLu/5epgZHBxE0zQymQzhcJipqSlUVeVrf/ZnzC2s0e3qCH1/ERKPw9//++bj//AfYH19/2NYbA68oQhuC3TbLaamphgcHMTr9fLII49IESKRSCSSB5p7KkSy2Sy6rhOPx/e8Ho/HSSaTt23/pS99Cb/f3/8aHR29l8t71zh//jwXL17c92fpdBpN0wgEAiwsLPDtb7/EwtIqpWJ+xyvkdhGiKPDrvw4uF1y6BH/0R/sfV7PZGTl8nOnJSbweD6qqIoRgcnKSxx577N07QYlEIpFI7hHvSbHq2+U3f/M3KZVK/a+NjY37vaS3haqqXL169TYx8sILL/DNb36z385bLpe5vryGaneid9vUyiVTdWh7M2Q/+qPwyCPQaMD/8X/sn5KxOlw4XB5cCJ56/BGeeeYZJicnOXz4MJ/4xCc4ceLEvTthiUQikUjeJe5pjUgkEkHTNFKp1J7XU6kUAwMDt21vt9ux2+33ckn3hNOnTwNw9erV/vOLFy8yPz9PIBAgn89TKBR449oCwuZG72Zod9ug66hWK8ZOXQfA8DD8vb9nPv53/w52OoD3YHU4GZ4+gtNqwWM1nVt/7Md+jHA4TCQS4dFHH73XpyyRSCQSybvCPRUiNpuNxx57jG9961v86I/+KACGYfCtb32LX/qlX7qXh37P2S1Grl27hhCCZ599FoCvfOUrXFtaI1lq0Wm3aVYr2Kx2FJtGq1Ht70NV4Td+AxwOOH8evvrVWw6iaYQHRhmeOgzdFienRxkZNm3kw+Ewn/nMZ96js5VIJBKJ5N3hnnfN/Oqv/io/93M/x+OPP86TTz7Jl7/8ZWq1Wr+L5v3E6dOn+yJkdXUVi8VCMBjE6ovy5oU/oVEuYRg6iqpgd7qplQs7Fu4mP/mTcPw41GpmSuZW7zGny8uhRz7EwMQM3lYC2m1GRkZ45plniMVi7/HZSiQSiUTyw3PPhchf+2t/jUwmwz/9p/+UZDLJ6dOn+fM///PbClgfVra3t/tzZS5evNi3eFcUheeff57w4ChV1wgKCvVKEQBFVem024juTYvUgwfh7/wd8/H/9X/BLdksbA4X4aExUBU+9vgJItZDrK6uEgqFiMVisjtGIpFIJA8l74nF+y/90i+971IxPRRFYXt7m6tXr5JKpTh+/DinT5/mxRdf5PK1G7x28TrBgQpuX4DMhkG33ebWThmnE/7JPwGrFb7zHfizP9t7DNVixR0I4Q2EcVs0wpYWR48eIxwOSxEikUgkkoeaB6pr5mFkcPD/3969R0dVHfoD/54zk3llMpOEyWMmCZDwRghBLI8URRQFi1WvrRXtUmhdtLX02lavhdCKVa+CwrK/u7yKtguBddsrWq+vtvguSCuI8n6GEggQMpPJY5KZTDKZzGP//hhnyJAQkpDMQM73s1aWzJl9zuw9J5P5us/e+1jhcrnwxRdfICcnByUlJXA4HNAbTWg3ZsPv96F81z/R4KiCMT0TkDq/5Q89BOTnA7W1wJo15z0pqZAzbCRklRruBgcmFNpgsViQnZ2N4uLiQdOzREREysSb3vWDIUOGYMiQIairq8OePXvgqHHirc92o7a2Fk31NfC46qAzpKG93Q9ZJSMcPHdTuxtvBObNA0Ih4OmngebmDgeWZKRlDIFWb0BW3nCkawR8LW7IssxeECIiGhQYRC5BdHzI1VdfHVkx9a9/BQCU13hQeeoMvA11aG12IxTwo60VCLa3IdxhXEhhIfDII5F//8//AAcOxB8/e2gRhlgL4Gt2I9NkxOJ77oDb7Ub4Qmu9ExERXWEYRC5BdHwIEFktNj09Hf/Y8RUOnKlFe2srXPUOBNraAFkFv68FQX9bbF+jEXjqqcj4kN27I0GkoxSdASpVClLUWmSPHo9br/0Gxo0bx3vHEBHRoMIgcgmid9vdsmULGhsbAUg43dgGr8uFOvtpNLvqYje16xhCZBn49a8ji5c5HMCTT8avnqrW6GAako1QKABPUx3GFuaheMI4TJ48OcEtJCIiGlgMIv2kqakJu4+eRG2NCxq9DqmmDDTW2xEOBtDeIYQAwIMPAtOnA21tkdkycff2k2RoDanQG9OgS01DvjUPJeNG8HIMERENSgwil0gIgXHjxsHXHoL/RB1avSchwkAw0AYRCqO9rTWu/N13A9/9buTfzz0HnDgRfzyNVotUUwbUai0yLNm4dc61uGHWTPaGEBHRoMTpu5fIZrNBkiQcq3FDQIYICwSDfvh9rfD7WuLKzpkD/OQnkX+/+CKwZcv5R5OQotNBozdAn2qEzWyAXqPiFF0iIhq0GEQukcPhQKO3DTXNAYhQCNai0UjRaNFYUx038GPKFGDp0si/33gDePPN8w4kq6DVp0KdogMgkG5KxdiiAkyfPp2DU4mIaNDipZlL4HA48Pe//x2Ha5oRDofh9/vQUF2F2rOn0N7uhySrISSBUUUhPPkkoFYDn34KvPxy/HEkWQ3TkCykaLVI0eiQnmnBnGtn4I5bb+GddImIaFBjELkEQgiYMy049sUx+LzNaKiugv1UOdp9rdBodQiFghiS4cOqVYDBELmj7rPPnn8zOxlavR5pQ7KQk1eEQMCP8cNtmDn9GwwhREQ06DGIXAKbzYZ9VY0wpKXj+L6dqK+pQlgAkIAUrRY64cOzqwQyMyODUlesAAKB+GPojSakWSzQ6VJhysrGiGFDccOkIlgslqS0iYiIKJEYRC7B7t278ennRyDCYWhTjQi1t0OEgpAlGf42F556OoChQyP3kFm6FGhp6XwMgzkdmdkF0Gh1SDOm4offmYtheTaOCyEiIkVgEOmjDz/8ELsPlaOmth1tvhakqDXQ6FMBSKhvOI2yXwUwaRLg9QLLlgENDV0cRJKhSlHDaM6A39cKqx7QqVUMIUREpBgMIn0kyzL2HjqGBl8IIhxGU4MT7b5WNDqr8W+3BTBnDhAMAo8/DlRWdt5fUqmhUqkQCgSRlTcMNrMOxaPzOVWXiIgUhUHkAqI3tIsu496Rw+HA2HHjkVZwGJXbt8LdWIeWpkY0N9Zj9Oj22FohL70UGaB6Po3eAH2aGYa0dKjUKqTpNPjtoz+DLIG9IUREpCgMIhfQ8YZ2HcOIw+GA3W6Hw+PHsPHXoKa6CqfL96G5sQFaTQC/WR6CWg1s3Qq8/XbXxxYAMix5KJxYgtYmF6z6IFRy16GHiIhoMGMQuYBoKOgYRqIhxGaz4bi3DtUnvsSQbBsgSYAAfvgDP3JzgepqYPXqro8rqVKgUqdArdNAp0/F1SPzMOWqMRDxc3qJiIgUgUGkGx3DiMPhgBACNpsNubm5OPS3L1Fx4Esc378TEMDESRJuvy2y3+rVQGtrV0eUkZpmRnqODW3NHvhrT6PwmlEYO3YsL8kQEZEicYn3i7BarZAkCUKI2H8PHj+FtoBA1fHDqDtzEu3+Fix5MLJAyN/+Buzf39WRJKRoNdCmGqHTp2KIJRMFWWaMGjWKA1SJiEix2CNyEdGekGgIqa2txf7TDXBWnYQhNQ3GTAuumeTE8KFtaGkBfv/7ro4iQ6s3QGdMgwQgzZiKRd+7HdfO/CZycnLYG0JERIrFINKNjmNChBA4dOgQhBBwtghUHPgKgWA7cocOxf3fPwMA2LQJaPaqAITijiPJMjQGA7IKChH0eXFVUR7u+u53ODiViIgUj0HkAjqGkOhA1fr6elScqMSB2nbIahlNdQ5Mu7oONlsYLlfkjroiHOp0LEmWIMsq6DQazJg6ExkmIw4ePMggQkREiscxIhcQHZhqtVpjM2fGjx8Pe109ju//Ct6mRoQCAcyb0wgAeOstoK0t/hiSSg21RgutwQCVSoVMnYQMkxGTJ0/mvWSIiIjAHpELio7bsNvtqK2tRSgUisyYKRyHwM59aHCeRX62HWNGh+H3A3/96/lHkKBSqaEzGGEekoXCglzkZFlgNpuRmZnJO+sSERGBQaRbHUNIQ0MD6uvrYcgeiowcG04f249bF0W6QD75BHC7z99bQITDSLNk4Vtz56Fk/EhkZGRg7NixnCVDRET0NQaRbkiShJqaGqhUKtTX18PlasS2PSfQ6HTAlKbCN78ZWYTsnXc67QkACIXDMAC46/ZbcNVVV3F2DBER0XkYRC4geq8ZWZZx7NgxyLKMXfsPYM9n/0BbazPmzVNDkwKcPAlUVJy3swSo1CmQIUGnjeyflZXFIEJERHQeDla9gOi9ZrKzs5GZmYktW7Zg29Zt8DY1wOdtxrTJTgDAxx93sbMQCIeCSEtLRUpKCsrLy+F0OhPbACIioisAg8gFWK1WyLIMp9OJ8ePHw+/3w+1uQjAYwJAMPyYVRy7LfPpp1/tLACZMmACbzQan0wlJkhJXeSIioisEL810Izc3F7W1tdi8eTPS09NhsmRDNLowY3ozgMhS7nV1XxeWJKDDjetMJhOys7MxZcoUhEKd1xYhIiIiBpFuCSHQ2NiI8vJyGFLTYBsxAcHjhzBtWmRdkc8/71haAhAJIjqdDnl5eZAkCUajETNnzkR2dnbC609ERHS5YxDpRm1tLbZt2wa/34+Tp6pwpsYFtboNxRPDAIAvvuhQWES26XQ62Gw2GI1GGAwGDBkyBNnZ2RyoSkRE1AUGkS5EZ8wIISDLcmQ9EZcb7X4fCm2nodEA1dVAVVXnfQOBAPR6PaZMmYKWlhY0NjYyhBAREV0Ag0gXJEnCli1bAADf/OY3UVtbi1N2J1zOaky9KwAA2Lmz631DoRDa2towfvx4uN1uZGRkJKraREREVxzOmumC1WqFxWKBy+UCANxxxx1Qaw2QEMY3vhEpE3dZpoOUlBSo1WocPXoU11xzDWbNmpWgWhMREV152CNyARMmTIDL5cLu3bshq1TQG9MxdLgROTl+BIPAwYOd9zEYDMjLy4MQAmfOnOEiZkRERBeh6CASHQtitVo7PVdbW4sTJ06goaEBZ6qrUWs/jWklXgDAsWOd77QLAHq9HoWFhcjLy8PIkSN5TxkiIqKLUHQQia6eCiAujDgcDoRCIbS0tOBf//oXTp+thrveifHj/AC67g0BAJ/PB5PJhJEjR+IHP/hBlwGHiIiIzlH0GBGr1QqbzQa73Q6HwwEgEkLsdjtUKhUmTJiA1NRUeJo9CIeCKC6O7Ld//4WPWV5eDo/Hg5qamgS0gIiI6Mqm6B4R4FxPiN1ux4EDBwBEekrq6+uRlZWF3NxciDBgsahQUBBAOAwcOtT5OEajEXq9Hi6XCy0tLbwsQ0RE1AOK7hGJslqtsfBx/PhxAEBlZSXefvttNDY2QpbVGDe2HUDkbrteb/z+KpUKsiwjMzMTV111FXJzczlIlYiIqAcU3yMCRC7HCCFgsVjQ2NiI+vp6FBUV4fjx46hvaABUKowbG1m+/fDhzvvr9XpYLBaMHj0aS5Yswdy5cxPcAiIioiuT4oNIdEyIzWbDlClTIEkSvvrqK6SnpwOIXLJpbXZj1OhIEDl2rPMxoqupZmRkQJbZyURERNRTiv7W7BhComNFJk6ciMLCQhw+fBgulwutPj+AEEaPiuzzr3+d21+SJKhUKggh0NDQAL/fj3A4nPiGEBERXaEU3SMihIgLIXa7HVu3bsXp06dRV1eHM2fOoL09AFtOGEYj0N4OnDoVfwyDwYDU1FSkpqbCYrHwsgwREVEvKDqInD+gVJIknDp1Cu+88w48Hg+am5vR1taKopIgAODECSAUOldeCAFJkjBq1CgUFxejtLQ0kdUnIiK64in60kxXhg8fDrPZDK/Xi0AgACEExozpPD5ElmVoNJrY49LSUsyePTvR1SUiIrqiMYh0UFNTg8bGRtxwww3IyMiAy+VCe5sPo0dHnu84PiQcDkOSJGRlZUGj0aCpqQlCiORUnIiI6ArFINJBTk4ORo8ejXA4jJycHKhUkStXo7oYqCrLMkwmE6699lrceeedmD59OtcOISIi6iVFjxHpaM+ePZBlGUIIOByOr5doF8jKAoxGIBgETp+O3yc7Oxt6vR5CCN5XhoiIqA8YRL4myzIOHTqEqqoqnD59Gj6fD8FgCMOHR54/ezYSRjry+XyYMGEC0tPTeVmGiIioD3hp5mvhcBhVVVXYs2cP3G43WltbEQ6HUFgYef78abvhcBgulwtnzpzB7NmzeVmGiIioDxhEvibLMkKhECRJAgB4v76hTLRHpLIyvrxKpYJOp4PD4cDBgwcTWFMiIqLBg5dmEFnITAiBESNGYP/+/Th58iTMZjN8/gCGD/cD6Nwjkp6ejueffx5DhgyBxWJJfKWJiIgGAQYRRBYyq62thRACdXV1cLvdCAQCCAf9sR6RjkEk2mvyySefYN26dQmvLxER0WDBSzMArFYrJEnCgQMHYLFYoNfr0d7ejuxsQK8HAgGguvpc+ejsGq1Wm7xKExERDQIMIl9zuVyw2+1ob2+HXq+HJEmxgapVVfFLu4dCIahUqtgdeomIiKhvBiyIPP300ygtLYXBYLjsvrDtdjscDkfc48zMTOTl5eHQoUPweDzQaLVxl2XUWh20Wl1sn1AohFDHdEJERES9NmBBpL29HXfddRcefPDBgXqJPpMkKS6MSJKE+vp6OBwOGAwGBINBtPl8yM+PlD9zBgj62xAMBqBSqaBSqeD3+1FfX5/EVhAREV35Bmyw6hNPPAEA2LBhw0C9RJ9FV0G12+3YsmULsrKycPr0aTQ0NKCoqAiVX8/VzcuLlI+ODwmFQtBoNLBarcjMzETw/BXOiIiIqFcuq1kzfr8ffr8/9tjj8QzYa0XDyBdffIEPP/wQkiRh2LBh2L59OwKBAIBzQeTs2XP7hUIhDB8+HGVlZSguLh6w+hERESnBZTVYdeXKlTCbzbGfgoKCAX09q9WKGTNmYPTo0WhpaYEsy0hNTcXQoUNhSFUjKytSruOMGb1ejwkTJiA7O5vLuhMREV2iXgWRZcuWQZKkbn/Ky8v7XJmysjK43e7YT1VVVZ+P1RMOhwNCCBQWFsLv9+ODDz6A1+uFVqtFfoEKAOB2A83NkfJ6vR7Dhw9HeXk5jh07xmXdiYiILlGvLs088sgjWLRoUbdlioqK+lwZrVabsLU5HA4H7HY7bDZbbLl2j8eDUCgEt9uD4pJIb0e0N0SSJKSkpKC1tRUGgwHhcDgh9SQiIhrMehVEsrKykBW9XnEFczgc2L9/P2RZhizLKC8vh9PphFqthsPhgK+tDTlZHYKIJEOtViEUCqGxsRFNTU2D4n0gIiJKtgEbrHrmzJnY3WlDoRD27dsHABg5ciSMRuNAvWyPCCGQm5sLp9OJo0eP4uOPP0Z9fT20Wi10Oh18HabuVjtUyMjMRCgQGUiblpYGq9XKHhEiIqJ+MGBBZMWKFdi4cWPs8eTJkwEAW7ZswfXXXz9QL9sjNpsNNpsNDocD69evh9frxbRp01BVVfV1T4kKeXmRxcpqa7XIKxiKdKMedXV1CIVCGDFiBObOnZvUNhAREQ0GAxZENmzYcFmuIdJRdJyI2+1GeXk57HY7PB4PwuFQbOruqZNtqKr6F3JysmGxWOD3+7miKhERUT+5rNYRSTRZlmG1WmNjRDweD4LBILRaxKbunq0W8HqbEQoFoVKp8Itf/OKyXC2WiIjoSnRZrSOSaCUlJZg6dSp0Oh1k+dxbkZMT+a/XCzR7IoNWhRAoKSnBHXfckYSaEhERDU6KDiJ79+7F22+/DbvdDq/XG1uyPRpEnM5zZYPBIBobG7mIGRERUT9SbBBxOBw4evQoGhoa0NLSElvWHQBycyP/rak5V16j0cDn82Hbtm0JrikREdHgpdggIoTAuHHj8MADD2DMmDEwGAyQJAlA1z0ixcXFuOeeezhtl4iIqB8pNohE7d69G0eOHIHP54uNE+mqR6SiogKSJOHee+9NQi2JiIgGJ8XOmpEkCdu3b8ff//531NXVxd31t6seEa/Xi//+7/8GAM6aISIi6ieKDSJWqxWjRo3ClClT4Pf7sXPnTrS3twPoHETy8/Mxbtw4aLVaXpohIiLqR4oMIna7HU6nE1lZWZg0aRK2b98Og8GA9vZ2pKScW0OkpgZQqVTw+/2YPXs2ysrKkltxIiKiQUaRQUSSJNTW1qKiogKfffYZKisr0draCuBcCGlrA1paU6DRqNHU1ISXX34ZhYWFWLBgQRJrTkRENLgoMohYrVYAQH19PQAgLy8PjY2NaG9vjw1UdTqBcCiEjKwsDB06FCkpKbwsQ0RE1M8UGUSil2a2b9+OPXv2wOPxQJIkyLKM3NxI2KhxSgiHw6itrcXMmTPx+uuvJ7nWREREg48ip+9KkoSjR4+iqqoKTqcTdXV18Hq9UKvVGDrcAABwfj11NxQK4aOPPsKqVauSWGMiIqLBSZFBxGq1Yty4cZg+fTpGjRoFlUoFAAiHw8jMiMycqa0FjEYjRo8ejTFjxvCOu0RERANAkZdmACA3NxfDhw/HzTffDKPRiF27dsHn8yEjPfK8pyUVkydPRmlpKRYsWICSkpJkVpeIiGhQUmQQ2bt3L15//XUcOXIEhw8fhsvlAgCo1GpYLJEb37k9WlRXV2PdunX4/PPP8cILLzCMEBER9TNFBpEop9MJl8uFpqam2Lbo9N3K4w2oqfEgNTUVmZmZnDFDREQ0ABQZRCZPngxJkuD1euF0OmNBRK8HUlMjZerrI2NG5s2bh9deey15lSUiIhrEFDlY1eFwwOl0orW1Fc3NzbHBqhZL5HmvF/D5AI1Gg/LycmzatCmJtSUiIhq8FNkj8uqrr+LAgQPYtWsXmpubkZKSgpycHFitdQACqK+PhJBwOIy6ujpeliEiIhogiuwRyczMRHV1NXw+H0KhEPx+P2pra5GREQAA1NUB7e3tCIfDmDt3Lu69994k15iIiGhwUmQQefDBB3HrrbdCr9cjJSUFQggEg8HYpZmvV36HSqXCqFGjkldRIiKiQU6Rl2YcDgfS0tJgMBjiLrtEZ8zU1wN6vR4qlQovvPACAGDZsmXJqCoREdGgpsgeESEEMjIyMH/+fJjNZmi1WkiSFOsR8XgN+PnPf47S0lLk5+dzVVUiIqIBosgeEZvNBgBYu3YtWltboVarIYSIBRGH3Y+/vvf/YDab8dhjj2HJkiVJrC0REdHgpcggAgCffvopmpubY+NDJEn6+tKMQK0zhLa2ENrb2yHLiuw0IiIiSghFfsuuXbsWx44dQ0ZGRmybSiWQni4AxA9W3bVrVzKqSEREpAiK7BEJh8MoKSmBTqfDgQMH0NjYiMzMIGQZCAQAt0fG2LGjEQgEEAwGk11dIiKiQUtxPSJ2ux2lpaUoLy/HZ599BrVajcWLFyMzM/K8ywWkp2fgxIkT8Hq92LhxY3IrTERENIgpLohIkoTa2lq0tLQgGAzC4XBg7dq1cUHE1dCAQCDA8SFEREQDTHHftFarFcXFxfjtb3+LkSNHxrZ3DCJRjz32WIJrR0REpCyKCyJAJIycPHkSdrs9ti0aRBobz5VbunQp1q5dm+DaERERKYcigwgAmM1mGAwGmEwmaDSauB6R1157DXl5eZ1WXiUiIqL+pchZMwAwe/Zs/PGPf8Ty5cuxZ88eRGfyNjYCDz/8cFxvCREREQ0MRfaI3HTTTSgqKsItt9yCPXv2AAAsWZG3wuWK3ItGkiQsXbo0mdUkIiIa9BQXRBwOB7xeL9ra2iBEZAEzvV6PwlE5AOIHq0ZveEdEREQDQ3FBRAiBl156CZnRQSEAhAhDDtUAiA8iJpMp0dUjIiJSFMUFEZvNhsmTJ6OhoQG33347ZFmGJPmh1UZ6R1patSgrK4MQAjU1NUmuLRER0eCmuCDS0TvvvIPMzMzYjJnWVqCwcCKeeeaZ5FaMiIhIIRQdRO644w64XK64qbvlRw9h+fLlya0YERGRQiguiOzZsweLFi2CJEl49913EQ6HkZ2TAiASRNra2rBy5Uou705ERJQAivu2lWUZmzdvjtt2w9xSAICnOSW2TQjBnhEiIqIBprggUlJSgrFjx8ZtO/WvfwAAap2B2LasrCyEQqGE1o2IiEhpFLmy6rZt27Bv3z6sWLECf/nLX5CeHlnG3eWKrCnS2tqa5BoSEREpg+J6RKJKSkpw9913o7CwMLa8e1MTGEKIiIgSSLFBZN++fXj99ddRWVmJ9PTItqYmwGAwJLNaREREiqLIINLxsgyAuCDi8/kYRoiIiBJEcUHkpZdewowZM2IhRK/XIzs3EjxybBMARMKIJElJqyMREZFSKC6ICCFiN7sDgKzsDKikyLiQ8iPVyaoWERGRIikuiCxZsgR/+ctfYLVaAQBtPjsAIBAA7NWNAID8/Py4sEJEREQDQ3FBBABuuukmbNy4EVarNW58CBAJIVVVVcmqGhERkaIoMogAkTDy05/+FJmZkbegqQmQJIkhhIiIKIEUG0Q+/vhjvPTSSzCZIouZNTVFxo8UFBQkt2JEREQKosgg8vHHH2PhwoVwOBwwmyPbWtu0AICzZ88yjBARESWI4oJIxxACALa8VADAiKtuiA1gZRghIiJKDMUFkXA4DL1eD0mSkJ+fj/l33QoAsA0twcaNGzFixAjIsoxwOJzkmhIREQ1+igsiu3btwsmTJ6HRaFBVVYVwqB4AkJKShd27d+PkyZNQq9WoruaaIkRERANNcUFEpVIBAPx+P3Q6HRBuAAB8/ulOlJWVQQjBVVWJiIgSZMCCyKlTp/DAAw+gsLAQer0eI0aMwOOPP4729vaBeskeWbZsGVauXAkgEkYaqvcBAP746usAAK1Wi7a2tmRVj4iISFHUA3Xg8vJyhMNhvPLKKxg5ciQOHTqExYsXo6WlBWvWrBmol+2RZcuWAQDKysriFjRjCCEiIkosSSRwLfPVq1dj7dq1OHnyZI/KezwemM1muN1umEymfq/PTTfNxq9/vRUAcOutgNfLZd2JiIguVW++vwesR6QrbrcbmZmZF3ze7/fD7/fHHns8ngGry6pVq7B//1YAkfvMtLQAOp2OPSJEREQJlLDBqhUVFXjhhRfw4x//+IJlVq5cCbPZHPsZqLU8Vq1aFXdZpi1gBNBhACsRERElRK+DyLJlyyBJUrc/5eXlcftUV1dj3rx5uOuuu7B48eILHrusrAxutzv2MxD3fYmGEAAYMiQFAKAx5McNYGUYISIiSoxeX5p55JFHsGjRom7LFBUVxf5tt9sxe/ZslJaW4ve//323+2m1Wmi12t5WqVdCoVDstdZuXIsm+w8h5PTYANbly5cjgcNmiIiIFG1AB6tWV1dj9uzZmDJlCv74xz/G1vDoqYEerLrz0Gr46n+FdvW3cPPMv/X78YmIiJSoN9/fAzZGpLq6Gtdffz2GDh2KNWvWoK6uDjU1NaipqRmol7wou92Om266CZIkwWg0IhCILGYmqzLhcDgwd+5cSJIEg8GQtDoSEREpyYDNmvn4449RUVGBiooK5Ofnxz2XrEsfkiTFFlRraWnBnzeuwb/dAQTatViwYAG2bdsGAJBlxS04S0RElBQD9o27aNEiCCG6/EkWq9WKTZs24brrrgMApBoi40U++ssnsRCSmpoKr9ebtDoSEREpieL+179jGIletio/fBoAQwgREVGiKS6IAJEw8rvf/Q7p6ZHmR9dNYwghIiJKLEUGEYfDgV/+8pcwGsMAzgURo9GYxFoREREpj+KCiMPhiA1MjV6aGTHiagCRAawMI0RERImjqCDSMYTIMhDNHKufXxcbwMowQkRElDiKCiJCCGg0GgBAVpYe0Vm6RcPGY9OmTbj55psBAOFwOFlVJCIiUpQBXVn1Ug3kyqq1jYdxZP8EhGDEjdc39+uxiYiIlOyyWFn1ctfaVgcAEMhIck2IiIiUS7FBpL09sry7kNOTWxEiIiIFU2wQCYUaAQCSnJnkmhARESmXooLInj17IEkSJElCKOgCELnhHQDs27cv9hwRERElhqKCSMeb2f3u2aUAAJU6A/v27cPkyZOTVS0iIiLFUlQQKSkpwd69ewEgtpiZpykUF0Iu40lEREREg46igghwLoxEg8iGlzfGnmMIISIiSix1siuQDCUlJThrHwfgaOw+MwwhREREiae4HhEgMjDVUX0UwLkb3nGQKhERUeIpLohEB6ampUUeP/f8+thzDCNERESJpagg0nF2jNkc2TZpYmlsACvAMEJERJRIigoi0ZvZpaQAen1km0FniZtNQ0RERImjqCBy9dVXQwiB5mY7AEBARkpKOoDIAFYhBAetEhERJZCigkhUIBC5z0wY6ZAkRb4FRERElwVFfgsHg1/f8E5KT25FiIiIFE6hQcQDQALkjGRXhYiISNEUuaCZxfJtjJzkwaGqmmRXhYiISNEU2SMCAJKkgk5rSnY1iIiIFE2xQQQAdCmqZFeBiIhI0RhEiIiIKGkUHUT0DCJERERJpeggoktRdPOJiIiSTlHfxEuXLkVqaioKCgoAxF+aWb58OVJTU5GXl5es6hERESmOooKISqVCe3s7zp49i2vGj4JWHWn+8uXLsXr1arS2tkKWFfWWEBERJZWi1hF55plnAACrV69GjaMaE0YX4f7778fq1asRDAaRn5+PqqqqJNeSiIhIOSRxGd/lzePxwGw2w+12w2TqvzU/li9fjueeW41QKBjbxhBCRETUP3rz/a3I6xDPPPMMiktKYo8lSWIIISIiSgJFBpHly5fjwP59scdCiNgAViIiIkocxQWR6MDU0NdjQsrKyqBWq3H27FmGESIiogRT1GDVaAjpamDq6tWrY2GEl2mIiIgSQ1FBJBQKQaPRIDc3Ny5sRGfT/Nd//RfC4XCyqkdERKQ4ipw1Q0RERAOHs2aIiIjoisAgQkREREnDIEJERERJwyBCREREScMgQkREREnDIEJERERJwyBCREREScMgQkREREnDIEJERERJwyBCREREScMgQkREREnDIEJERERJwyBCREREScMgQkREREnDIEJERERJwyBCREREScMgQkREREnDIEJERERJwyBCRERESTOgQeS2227D0KFDodPpYLVacd9998Futw/kSxIREdEVZECDyOzZs/HGG2/g2LFj+L//+z+cOHEC3/3udwfyJYmIiOgKIgkhRKJe7L333sMdd9wBv9+PlJSUi5b3eDwwm81wu90wmUwJqCERERFdqt58f6sTVCe4XC786U9/Qmlp6QVDiN/vh9/vjz32eDz9Wofc3FzIstzl5SGbzYZwOIyampp+fU0iIiK6sAEfrLp06VKkpqZiyJAhOHPmDN59990Lll25ciXMZnPsp6CgoF/rIssyHA4HbDZb3HabzQaHwwFZ5thdIiKiROr1N++yZcsgSVK3P+Xl5bHyjz76KPbu3YuPPvoIKpUK999/Py50NaisrAxutzv2U1VV1feWdcFut8NqtcaFkWgIsVqtHEhLRESUYL0eI1JXV4eGhoZuyxQVFUGj0XTafvbsWRQUFGD79u2YMWPGRV9roMaIRMNHFEMIERFR/xnQMSJZWVnIysrqU8XC4TAAxI0DSQa73Q5JkuIeExERUeIN2GDVnTt34quvvsLMmTORkZGBEydO4LHHHsOIESN61BsykLoaI8IwQkRElHgDNjrTYDDgrbfewo033ogxY8bggQceQHFxMT777DNotdqBetmL6jgmRAjRacwIERERJU5C1xHprf4eI3KhgakcsEpERNR/evP9raj5quFwuMuwEZ1NEx3DQkRERImRsAXNLgfdLVbGnhAiIqLEU1SPCBEREV1eGESIiIgoaRhEiIiIKGkYRIiIiChpGESIiIgoaRhEiIiIKGkYRIiIiChpGESIiIgoaRhEiIiIKGkYRIiIiChpLusl3qP34/N4PEmuCREREfVU9Hu7J/fVvayDSHNzMwCgoKAgyTUhIiKi3mpubobZbO62jCR6EleSJBwOw263Iy0tDZIk9euxPR4PCgoKUFVVddFbFF+p2MbBgW0cHNjGwYFt7BkhBJqbm2Gz2SDL3Y8Cuax7RGRZRn5+/oC+hslkGrS/TFFs4+DANg4ObOPgwDZe3MV6QqI4WJWIiIiShkGEiIiIkkaxQUSr1eLxxx+HVqtNdlUGDNs4OLCNgwPbODiwjf3vsh6sSkRERIObYntEiIiIKPkYRIiIiChpGESIiIgoaRhEiIiIKGkYRIiIiChpBm0Qefrpp1FaWgqDwYD09PQe7SOEwIoVK2C1WqHX6zFnzhwcP348rozL5cL3v/99mEwmpKen44EHHoDX6x2AFlxcb+ty6tQpSJLU5c+f//znWLmunt+0aVMimtRJX97v66+/vlP9f/KTn8SVOXPmDObPnw+DwYDs7Gw8+uijCAaDA9mUC+ptG10uF/793/8dY8aMgV6vx9ChQ/HQQw/B7XbHlUvmeXzxxRcxfPhw6HQ6TJs2DV9++WW35f/85z9j7Nix0Ol0mDhxIjZv3hz3fE8+m4nWmzb+4Q9/wLXXXouMjAxkZGRgzpw5ncovWrSo0/maN2/eQDejW71p44YNGzrVX6fTxZW50s9jV39bJEnC/PnzY2Uut/O4bds2fPvb34bNZoMkSXjnnXcuus/WrVtx9dVXQ6vVYuTIkdiwYUOnMr39jHdLDFIrVqwQzz//vHj44YeF2Wzu0T6rVq0SZrNZvPPOO2L//v3itttuE4WFhcLn88XKzJs3T0yaNEl88cUX4h//+IcYOXKkuOeeewaoFd3rbV2CwaBwOBxxP0888YQwGo2iubk5Vg6AWL9+fVy5ju9BIvXl/Z41a5ZYvHhxXP3dbnfs+WAwKCZMmCDmzJkj9u7dKzZv3iwsFosoKysb6OZ0qbdtPHjwoLjzzjvFe++9JyoqKsSnn34qRo0aJb7zne/ElUvWedy0aZPQaDTi1VdfFYcPHxaLFy8W6enpwul0dln+888/FyqVSjz33HPiyJEj4je/+Y1ISUkRBw8ejJXpyWczkXrbxnvvvVe8+OKLYu/eveLo0aNi0aJFwmw2i7Nnz8bKLFy4UMybNy/ufLlcrkQ1qZPetnH9+vXCZDLF1b+mpiauzJV+HhsaGuLad+jQIaFSqcT69etjZS6387h582bx61//Wrz11lsCgHj77be7LX/y5ElhMBjEww8/LI4cOSJeeOEFoVKpxAcffBAr09v37WIGbRCJWr9+fY+CSDgcFrm5uWL16tWxbU1NTUKr1YrXXntNCCHEkSNHBADx1Vdfxcq8//77QpIkUV1d3e91705/1aWkpET88Ic/jNvWk1/WROhrG2fNmiV+/vOfX/D5zZs3C1mW4/5Irl27VphMJuH3+/ul7j3VX+fxjTfeEBqNRgQCgdi2ZJ3HqVOniiVLlsQeh0IhYbPZxMqVK7ss/73vfU/Mnz8/btu0adPEj3/8YyFEzz6bidbbNp4vGAyKtLQ0sXHjxti2hQsXittvv72/q9pnvW3jxf7WDsbz+Lvf/U6kpaUJr9cb23a5nceOevI34Ve/+pW46qqr4rbdfffdYu7cubHHl/q+nW/QXprprcrKStTU1GDOnDmxbWazGdOmTcOOHTsAADt27EB6ejquueaaWJk5c+ZAlmXs3LkzofXtj7rs3r0b+/btwwMPPNDpuSVLlsBisWDq1Kl49dVXIZKw7t2ltPFPf/oTLBYLJkyYgLKyMrS2tsYdd+LEicjJyYltmzt3LjweDw4fPtz/DelGf/1Oud1umEwmqNXx97FM9Hlsb2/H7t274z5Hsixjzpw5sc/R+Xbs2BFXHoicj2j5nnw2E6kvbTxfa2srAoEAMjMz47Zv3boV2dnZGDNmDB588EE0NDT0a917qq9t9Hq9GDZsGAoKCnD77bfHfZ4G43lct24dFixYgNTU1Ljtl8t57IuLfR77430732V9991EqqmpAYC4L6fo4+hzNTU1yM7OjnterVYjMzMzViZR+qMu69atw7hx41BaWhq3/cknn8QNN9wAg8GAjz76CD/96U/h9Xrx0EMP9Vv9e6Kvbbz33nsxbNgw2Gw2HDhwAEuXLsWxY8fw1ltvxY7b1XmOPpdI/XEe6+vr8dRTT+FHP/pR3PZknMf6+nqEQqEu39/y8vIu97nQ+ej4uYtuu1CZROpLG8+3dOlS2Gy2uD/m8+bNw5133onCwkKcOHECy5cvxy233IIdO3ZApVL1axsupi9tHDNmDF599VUUFxfD7XZjzZo1KC0txeHDh5Gfnz/ozuOXX36JQ4cOYd26dXHbL6fz2BcX+jx6PB74fD40NjZe8u//+a6oILJs2TI8++yz3ZY5evQoxo4dm6Aa9b+etvFS+Xw+/O///i8ee+yxTs913DZ58mS0tLRg9erV/fYFNtBt7PiFPHHiRFitVtx44404ceIERowY0efj9kaizqPH48H8+fMxfvx4/Pa3v417bqDPI/XNqlWrsGnTJmzdujVuMOeCBQti/544cSKKi4sxYsQIbN26FTfeeGMyqtorM2bMwIwZM2KPS0tLMW7cOLzyyit46qmnklizgbFu3TpMnDgRU6dOjdt+pZ/HZLiigsgjjzyCRYsWdVumqKioT8fOzc0FADidTlit1th2p9OJkpKSWJna2tq4/YLBIFwuV2z/S9XTNl5qXd588020trbi/vvvv2jZadOm4amnnoLf7++XmyAlqo1R06ZNAwBUVFRgxIgRyM3N7TTC2+l0AsAVdR6bm5sxb948pKWl4e2330ZKSkq35fv7PHbFYrFApVLF3s8op9N5wfbk5uZ2W74nn81E6ksbo9asWYNVq1bhk08+QXFxcbdli4qKYLFYUFFRkfAvsEtpY1RKSgomT56MiooKAIPrPLa0tGDTpk148sknL/o6yTyPfXGhz6PJZIJer4dKpbrk341O+jSy5ArS28Gqa9asiW1zu91dDlbdtWtXrMyHH36Y1MGqfa3LrFmzOs2yuJD//M/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" ] @@ -250,21 +251,21 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "id": "4545800a", "metadata": {}, "outputs": [], "source": [ "# compute the MLL\n", "y = train_y\n", + "alg = Cholesky()\n", "def NLL(params, key):\n", " ls,uscale,noise = params\n", " kernel = rbf(ls, uscale)\n", " Kxx= cola.ops.Dense(kernel(train_x, train_x))\n", " K = cola.PSD(Kxx + noise * cola.ops.I_like(Kxx))\n", - " #K = cola.decompositions.cholesky_decomposed(K)\n", - " invK = cola.inv(K)\n", - " minus2MLL =y.T@(invK@y)+cola.logdet(K,key=key)+jnp.log(2*jnp.pi)*y.shape[0]\n", + " invK = cola.inv(K,alg)\n", + " minus2MLL =y.T@(invK@y)+cola.logdet(K,alg)+jnp.log(2*jnp.pi)*y.shape[0]\n", " return minus2MLL/(2*y.shape[0])" ] }, @@ -279,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 14, "id": "0d9642e3", "metadata": {}, "outputs": [ @@ -287,16 +288,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "loss: 6.910\n", - "loss: 0.733\n", - "loss: 0.100\n", - "loss: -0.128\n", - "loss: -0.239\n", - "loss: -0.311\n", - "loss: -0.352\n", - "loss: -0.383\n", - "loss: -0.404\n", - "loss: -0.420\n" + "loss: -0.268\n", + "loss: -0.377\n", + "loss: -0.423\n", + "loss: -0.443\n", + "loss: -0.451\n", + "loss: -0.454\n", + "loss: -0.454\n", + "loss: -0.454\n", + "loss: -0.453\n", + "loss: -0.453\n" ] } ], @@ -333,15 +334,15 @@ }, { "cell_type": "code", - "execution_count": 9, - "id": "e57e9d2a", + "execution_count": 15, + "id": "63ec6dd8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "ls = 0.18, uscale = 0.52, noise = 0.01\n" + "ls = 0.17, uscale = 0.53, noise = 0.03\n" ] } ], @@ -362,23 +363,23 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 16, "id": "c90e19c0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -397,6 +398,14 @@ "plt.plot(test_x[order].reshape(-1), mu[order], 'y')\n", "plt.fill_between(test_x[order].reshape(-1), (mu - 2*pstd)[order], (mu + 2*pstd)[order], alpha=.5, interpolate=True)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "99204e6b", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -415,7 +424,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/notebooks/04_Spectral_Clustering.ipynb b/docs/notebooks/04_Spectral_Clustering.ipynb index 0de88b2c..0be8e211 100644 --- a/docs/notebooks/04_Spectral_Clustering.ipynb +++ b/docs/notebooks/04_Spectral_Clustering.ipynb @@ -38,7 +38,9 @@ "outputs": [], "source": [ "import os\n", + "import warnings\n", "\n", + "warnings.filterwarnings('ignore')\n", "input_path = os.path.join(os.environ['HOME'], \"data/cit-HepPh.txt\")" ] }, @@ -116,20 +118,12 @@ "text": [ "Found 34,545 nodes\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/ubu/cola/cola/ops/operators.py:63: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at ../aten/src/ATen/SparseCsrTensorImpl.cpp:53.)\n", - " self.A = self.xnp.sparse_csr(indptr, indices, data)\n" - ] } ], "source": [ "import torch\n", "import cola\n", - "from cola import torch_fns as xnp\n", + "from cola.backends import torch_fns as xnp\n", "\n", "num_edges = -1\n", "dtype = torch.float64\n", @@ -157,15 +151,6 @@ "text": [ "Size of the Laplacian: (34545, 34545)\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/ubu/venv/cola/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpeptest.py:311: BeartypeDecorHintPep585DeprecationWarning: PEP 484 type hint typing.Callable deprecated by PEP 585. This hint is scheduled for removal in the first Python version released after October 5th, 2025. To resolve this, import this hint from \"beartype.typing\" rather than \"typing\". For further commentary and alternatives, see also:\n", - " https://beartype.readthedocs.io/en/latest/api_roar/#pep-585-deprecations\n", - " warn(\n" - ] } ], "source": [ @@ -194,19 +179,101 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/ubu/venv/cola/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n", - " super()._check_params_vs_input(X, default_n_init=10)\n" + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" ] } ], "source": [ "from sklearn.cluster import KMeans\n", "\n", - "embedding_size, n_clusters = 8, 8\n", - "eigvals, eigvecs = cola.eig(Lap, method=\"lanczos\", max_iters=300)\n", - "x_emb = eigvecs[:, :embedding_size].to_dense()\n", + "eigvals, eigvecs = cola.eig(Lap, k=20, which=\"SM\", alg=cola.Lanczos(max_iters=300))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "6b077609", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([-3.1070e-15, -1.0551e-15, 1.0093e-15, 1.5716e-02, 2.3005e-02,\n", + " 3.2201e-02, 4.2626e-02, 4.2914e-02, 4.5332e-02, 4.5939e-02,\n", + " 5.5096e-02, 5.7384e-02, 6.2086e-02, 6.5325e-02, 6.7329e-02,\n", + " 6.9325e-02, 7.0176e-02, 7.0703e-02, 7.4464e-02, 7.5107e-02],\n", + " dtype=torch.float64)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "eigvals" + ] + }, + { + "cell_type": "markdown", + "id": "1d809094", + "metadata": {}, + "source": [ + "From the eigenvalues we can determine that there are 3 connected components of the citation graph. Let's identify these components" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "caa951e5", + "metadata": {}, + "outputs": [], + "source": [ + "n_clusters = 3\n", + "x_emb = eigvecs.to_dense()[:,:n_clusters]\n", "kmeans = KMeans(n_clusters=n_clusters).fit(x_emb)" ] + }, + { + "cell_type": "markdown", + "id": "4bcfbfa8", + "metadata": {}, + "source": [ + "And now let's visualize these three components in the basis of these eigenvectors" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "99ab03c5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure()\n", + "ax = fig.add_subplot(projection='3d')\n", + "ax.scatter(*x_emb.T, c=kmeans.labels_, cmap=\"tab10\")" + ] } ], "metadata": { @@ -225,7 +292,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/notebooks/05_Boundary_Value_PDEs.ipynb b/docs/notebooks/05_Boundary_Value_PDEs.ipynb index f90d28a2..2a919943 100644 --- a/docs/notebooks/05_Boundary_Value_PDEs.ipynb +++ b/docs/notebooks/05_Boundary_Value_PDEs.ipynb @@ -43,7 +43,15 @@ "execution_count": 1, "id": "466258d6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], "source": [ "import numpy as np\n", "import jax.numpy as jnp\n", @@ -77,7 +85,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -87,9 +95,10 @@ } ], "source": [ + "from scipy.signal import convolve2d\n", "domain = (((x>0)|(y>0))&((y>-.5)|((x-.5)**2+(y+.5)**2<.5**2))) # chosen for example\n", "# reduce the domain by one pixel leave space for the boundary conditions\n", - "domain &= ~(scipy.signal.convolve2d((~domain).astype(np.float32),jnp.ones((3,3)),mode='same',fillvalue=1)>0)\n", + "domain &= ~(convolve2d((~domain).astype(np.float32),jnp.ones((3,3)),mode='same',fillvalue=1)>0)\n", "domain_ids, = domain.reshape(-1).nonzero()\n", "\n", "BCS = jnp.where(domain,jnp.zeros_like(x),(x+y)*jnp.cos(2*x))\n", @@ -118,7 +127,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "d96a48b5", "metadata": {}, "outputs": [], @@ -131,7 +140,7 @@ " cderiv = lambda x: jax.scipy.signal.correlate(x,jnp.array([1.,-2,1.])/dx**2,mode='same')\n", " return sum([jnp.apply_along_axis(cderiv,i,x) for i in range(ndims)]).reshape(-1)\n", "\n", - "Lfull = cola.LinearOperator(jnp.float32,shape=(N**ndims,N**ndims),matmat=jit(vmap(laplacian,-1,-1)))\n", + "Lfull = cola.ops.LinearOperator(jnp.float32,shape=(N**ndims,N**ndims),matmat=jit(vmap(laplacian,-1,-1)))\n", "Lfull = cola.PSD(Lfull)" ] }, @@ -146,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "a1e772fb", "metadata": {}, "outputs": [], @@ -165,7 +174,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "5f5e9780", "metadata": {}, "outputs": [], @@ -183,33 +192,19 @@ "\n", "$Lv = b$\n", "\n", - "and annotate that $L$ is a symmetric operator to speed up the computation." + "and annotate that $L$ is a PSD operator to speed up the computation." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "id": "df413ec9", "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c62d53d71ceb497a80ea64da45e49140", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body_fun: 0%| | 0/100 [00:00" ] @@ -280,7 +275,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "id": "4ad7a1c1", "metadata": {}, "outputs": [], @@ -332,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, "id": "3c7b5852", "metadata": {}, "outputs": [ @@ -341,16 +336,17 @@ "output_type": "stream", "text": [ "PDE Error: 6.0e+02\n", - "PDE Error: 2.1e+02\n", - "PDE Error: 8.9e+01\n", - "PDE Error: 1.9e+01\n", - "PDE Error: 2.2e+00\n", - "PDE Error: 1.5e-01\n", - "PDE Error: 9.0e-04\n" + "PDE Error: 2.4e+02\n", + "PDE Error: 2.0e+02\n", + "PDE Error: 3.7e+01\n", + "PDE Error: 4.0e+00\n", + "PDE Error: 2.2e-02\n", + "PDE Error: 5.5e-04\n" ] } ], "source": [ + "from cola.linalg import GMRES\n", "# Newton Raphson iteration\n", "tol = 3e-3\n", "\n", @@ -360,7 +356,7 @@ " F = pde_constraint_on_domain(z)\n", " err = jnp.max(jnp.abs(F))\n", " J = cola.ops.Jacobian(pde_constraint_on_domain,z)\n", - " z -= cola.inv(J, max_iters=100)@F\n", + " z -= cola.inv(J, alg=GMRES(max_iters=100))@F\n", " print(f\"PDE Error: {err:1.1e}\")" ] }, @@ -375,13 +371,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "id": "2226daf8", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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Y1awlOLdv336kcbqNsvvOeIey0XYvDy4wGseZKVxi2kWIFClzjJEIoRkeSQiFVg5CZhQ/b4JAYAABGMAYiRF9lLlAnh3n/ffO0Ov1+PznP8/k5ORGv4I72EwX2f3e7+PK+NC1YUubbrfL4uLiHUPXhhlq60nG2I0CM3Q/71aBWa9nQAhBGIbUarUtOqutoxSYTeBh2r0Md/r3DrQaLHsBKdM7/2KcQfZYhjECIQwGG0EGDBMLUrQRIBK0hkpFgIFcxQTx9xGiuSkusXHGq9o3Y/HaTQsgbN35WpY1GroGrBi6dvHixRVD14YZavfaMe9WgQF2pcBordfdYmjoNm02m1t0VltHKTAPyVq1LetheJPc68IrxCUYWCtmFF8pDjVcIExhuVgpQgwfyzDD2IyuggzJUhevkhLHDoaIehOef6GOw+aOGt4KgdktFsx2nufdhq4tLi5y5syZ+w5d240CM7T4d6PADF3n6yUIAur1+hac0dZSCswGGa9teZhRxvcTGCl7WJY/eI6DJdJBtpiDENkqsRkP8MtRHAYRIoRVSJEpzjEMc1oTAq2bIHok5jwVnt7IV7EmD9KXa7cIxm7ibkPXFhcXuX79OsaYFRlqw2uuFJjt4UFiMGsxtEx3G6XAbIDNHGU8vEmUUnf6zkWCkP7dXlk8ZUxspBwOKQOjXRAxDKIzQuQYwLIVxhgmJxoo+kjhoZgnMxHStHDFgQ19jtXcT2A20uxyNwnSTliw7zV0bWFhgYsXL44Wu48++ojJyclNG7q2lYzXlO02NiIwaZqSZRmNRmOLzmrrKAVmHWzFKOPh6+8M9BtsawaEHjtWNuZyUmPPHYqNQmm7EBoxFJZ0EJvJCf2cWt3G96FWT0F5QBHXcWiScAHLTGCJh++btRWdhXeTwOxE1hq6Njs7y+nTp/noo484e/bsaOja0MLZSS1thmz1zKStZCMxGN8vNpmlwHyMWR3I3wxxGb7PWplk0loYZIKBMR5C5AOXlzuyVkYZZCIfO1EbyAuLxRQWTuAr6g2J6zSAmDyXgEGKGpoOQtcxQmFMgK/P0ZKf2TTh3CxR2E2LyW4RQiklzWYTy7J46aWXyPN8lKF29epVPvjgA+r1+khsJiYmdkSq7E5uE3M/NhKD8X1/ZI3uNh791bILWG9ty3q5Q2BEjBDh6D+NGQvKMh6gHWaQKbS2kFIhxNB9oMlzC9tWDDQR17HQgOdJQCEGWWZSVFBmAYELxIT6OnXrsYf6TPcSmGErmjAMmZ6efuDU2t2ycO8mxpMwbNteMXQtTVOWlpZYXFzk/Pnzo6FrQ8Fpt9uPJA6yW1OUYWMusmGK8m78zKXA3IPtGmW8UmAMljWDYfk4gnzNfw8zyIpztQE1SlfOc83M3CLNpotXs4mzFIEizcAog9EOQsSgi9chwDZNchnj5xfwxD5suXFX2d0EJk1T3n33XYIgYGpqiosXLxJF0X0Xrt22Y90t53uvLD/Xde8Yura4uEin0+HWrVv3HLq2lXzSBMb3fer1+q65psYpBeYubOco43GBEbKHkDEYa+DiEiCyQaW+Qch8kHqsV2SQDVOTlbZY6MxQb6e0p2yE1UUBRnsYEZCbCpbXJ1XT2LKCwGBED6ErRQ2NCZBU6KsrTMpnN/yZ1hKYbrfLj370I1qtFq+88grGGCzLWjEt8ubNm2itR5lOU1NTI9dAacFsPutJI69UKhw6dGjU0uZuQ9eGG4VarbYl98xuFZhhDHe9ArNbU5ShFJg1Gc7i3q5g4rLAKKQ1BxQBe6Mrg9jLIEXZKgLy2th3pCuDIkgCsHowuH6llYOpYkSEEC6GACmLRdoQEeo5JBO4soZEoFgEbDxZJdVdQrVAzZre0GcaFxhjDDdu3ODDDz/kxIkTo4r0LCtiTKunRQZBwOLi4ijTybZtKpXKqC/Tw7RG2Q52kxButE7pbkPXFhcXmZub48KFC9i2vSJhYLOGru1WgRluIksL5hPK+Cjjh6ltWS8jgZHzg4yv0V/GnjWeBDC+gElyZRGpW/R7Ke1Jm0ZDDBpdGsADIiAGA9JKiGPwKiHSVNF08fMAT0xiSXBokYuEnJjF7BxV+QpCbOxmFkKQ5znvvfce8/PzvPjiiyP//t2+1/FeXI899tioNcr169cJgoA/+7M/GwWeh61RNlJXUFKwWQHz8aFrx48fRylFr9cbWaUffvghlUplJDaTk5Pramkzzm7uQwbrr98Jw7C0YHY7w9qWH/zgBxw+fJj9+/dv246hWCBzkEsYUyv+DTCWHbacbrwyXTlTCbn4CCmh3qgDCQiDMA0M/eK/AUSGMA0QPmkk8SoaiyqaCEc0iM0clpqkIiVGBFhUQEp6+S3azpENf7ZTp07hOA4nT57c0A522BolSRK01nz605++Y5ZKu90eCc52xQHux044hwdhq2bBWJY1EhJgNHRt2CH6/fffp9ForMhQe9CNwm61YDYqMEMLZjfyiReY1bUtwwLK7VwgpJTUm0GRhkw29pcUY9xBvMUM0pUzhnNf0jREW/NEAVTrYNspGAlCD6wXQKQIU8OIECEcDOC4ksIiGo5zzcGAMdDPIjzbGbjJNH11m4Z9AEus71KZnZ3FGEOr1eIzn/nMpiwIxhgcxxkFnldXqg/jAEO3zLC1fcnd2a5hY2sNXRsmDIwPXRsKzr2Gru1mgbEsa93f93AC6m7kEy0wq0cZCyGwbXu009guvIqk1hhYGiRo4yGFHlTkF7NcivNdfk3f7+PUOgBUq02gX4iKroPwgXBZbHCL/ybGGKg1BMZUMCJGmjqaPhIPRExKBGqaipWSE5AZi8X0Bnu94w/0WbTWXLhwgatXryKl5IknnlhzMdiMgWNrVaoP3TIzMzOcO3cOz/NGYvMwbpn18EmIwTwsruuOWtpAMXRtKDg3btwYJXoMraDxoWu7VWA2EuCHwkVWCswuY7y2ZXz2wsONMN4Y+w5IhvfLUFSwhp2Tl89lWFC51I0wVmfkMkMU8RUEY5bLuJts+PcMVA2sEEkdRYyFhybAFjVSs4Qj6miT4ucGiU3NqhGpBXJ9CFveu6o7SRJOnTpFkiS8+uqrvPnmm5vasv9+C7cQYkVr+6FbptPpjNwyw3ToYafh3bhQbSY7ZVxytVrl8OHDo43CMNFj+NtJKUdiE8fxjjjn9fJJa3QJn0CBuV9ti2VZ22rBGHL2HRAkKXju8qMjRDJISy4EZn4+otLqF7EY6kBYCIepUgTzwzXcZFnhJiNEjLomD6wiwtFxMOBKl0B1yHUFVzSxZQZCM5de42Dlybt+jk6nwzvvvMPk5CQvvvgitm1vav+wjSwoq90ySZKMFq0PPviAPM9XDO7azEyd3bIA7hSBGWd1osf40LWZmRmWlpaQUnLmzJnR77fTMwth440ufd/flY0u4RMmMA9S2yKl3F4XmZjDsiBNDJ47SO0VMdpYyEF9ixmkIkdRBla4nGVmJMv1mIOfUhjQDRB91nKTCStGaYOU8Sg2Y5kmij4WNTRF36OKrBLrEGkqaBPgqwUyfRxHrrxkjDFcu3aNc+fO8dRTT3Hs2LHRd7rZAvOw7+V53prp0J1Oh0uXLq1Iq33YSZG7hZ0oMKtZPXTt4sWL9Ho9HMfh+vXrnD59mlqttiJhYDtcoetlowITBAEHDx7cgjPaej4xAvOgtS2WZW2bi8ygQc4NjqsY/hxCaIypFJYJEAQh9bqNEhGVusWw0aUhglGr/nE32eD813CTCaEIetCcAEkVRYjERgG28EhMREW0SE1EbmL83KYiGwgL5tOPOFg5Ojr/PM95//336XQ6a07D3MkdkNfaJQ/7cN28eZMzZ85Qr9dXTIp80D5cO/Uzr8VuEJi1qFarPPlkYVEPh64tLi6uGLo23hliJ6SyP0wMZjf2IYNPgMCst7bFsqxRAeCWn5tYGMVVHFejjUQOxcEsn6PjGrIchB0UfzLVIvAv8nu4ySwQatlNhkLrFsrk9MJ57HoLyBG0caQEPIwIwRgsKdAqpiIbaGMT5BkVG/r5HHvNIWxh4fs+77zzDq7rcvLkyTV3+zvNgrkX4z5+KBatYXbasA/XvQZ37VZ2o8CsDvKvNXRtaJmeOXOGLMtWZKg9qt/uYSyYMsi/A9lIu5ftdJFpFodF94UVol2witRhpUMsq/h5HMcjVouj1xVNKQdJAHd1k1UH2WQ5maoQ6wUsBKlZojFlSE2AQSFNE18tYdFGCo0j6ijZRWBhCxtf98kMOHoCSLgV3sLtO7z33ns89thjPPXUU3e9WTdbFLZ7UuR4H65hltNwcBewIn5TrVZXXFu7ZdHejUWL97MEVrtCxzPUrl27VsxDGvx2k5OT21Yl/zBB/lJgdhgbHWW8XS4yTRdDp2gHI4cureXCSss2ZKnAdgyJWira8A8+giEZaYohHHOTRctuMgy5qhDpWSwmAI2ih0AiLY3UDTLRRQo5eL0mVD6uaIOq40qbjB5gaNhtUqWx8LjdvcrS6ZjP/tiPsX///nt+xkcd5N9MVmc5DYPOs7OznD9/fsUcldJFtrVorR84xjKeyj5saeP7/h2tiMYFZ6tqpx5mmmUpMDuE1bUt6233sl1ZZFrcBmEwuIhBwaMhGrTYH6RMWy5KKxQ9wEUMFwMRY0wNIRIQCkEDCAqBMjUwmlB1UGjAYIbV/GgcMUFqljCD2pqcHhKb3PSxRZXU9FDaItUeFbtF1TJkOic1MUu+wkHw9OefZf/EvcUFdrcFcy/WaosyjAFcvXoVrTXvv/8+e/bs2VExgLXYjQLzMFbX+NC1Y8eOjWJvnU5nxdC18ZY2mzV0bSMxmGEySpmmvAMY1raMj1Rd782zHS4yQ4qhKJI0ZvlYQhjiGOzG8Hk5sbo1CNynCJoUMRYG6cYD4TBiZN1obRHo24DBZpKcBE1R96IJR50CjIiwTA1FiCsbxHoJV1TITUzFahCoJdK0jitdND3y2OAJl1qtRZ8ucP/2MR8nC+ZeWJa1Yo7Kf/tv/40DBw4QBAGnT58mz/MVXYbHiwYfNbtRYDaz0HJ17G28dmo4dK3RaIye8zBD15RSG3ptmab8iBlv9/KwHZC3w0Wmxcwo+G4IyZWFbRU3TLVaYRhfyXRM8RPdGW8xxHe4yYypEerbo+OogRgBSOGgDWgCkhC8GtjCRZlwZOGoQYqyHlhUnnToZUvEXcNEs0a1ahFkGbaATtJn0rv3Rf9xtWDuhxCCvXv3cuzYsVFb+2H8Zlg0OBSbqampTesyvBE+6QKzmrVa2nQ6HTqdzijZo9VqjQRnPcW6SqkNWUNlDOYRstlzW7baRWYwaHrLDwhN0DO0JwYXnojQRiJwycw1JFMMBUYTIIbxFpGAqRdV/EKhVZPQ3Cw+A20UXQwxkgYaH0WfQp0MeVoITCEoAjVoeJkZn4psE+seFdEgUktoBc1Wk0yA0SEGj0jZfJTMbKvA7LZFcMh4W/ujR4+itR61s7l16xZnz56lWq2u6A69nWOJd+P44e1sFeO6Lvv37x/FG4e978aHro23tLlXs9WNxGCGG5TSRfYI2IpRxlvtItN00CZAjp2qM76rEQpMlVQX1oQhWk4SEzmCFgyr7wc/n9F1Yu2PZZONtZcZ/cQKW0yQmy61BoXFI3Jc0SY1XSxhkxlGadKhHyDr0PLahCogzKFpT9FwFEFm6Kc+UZ5Qte9ejPhJtWDudZ5SSiYmJpiYmOCJJ55YUcMxvkMe7w69lYvpbrVgHtU5V6tVqtXqaOhaEAQjwbl69SrAioSB8aFrG4nBxHGMUqp0kW0nWznKeKtdZMp8hBYBaeRQqRYXm+1mKG1hDRYSbSA3C8BAYEyjsFhgxbyYotCyiq9mABDGAZGh6CPwMCSDBIGiONMMCjRtB3TWwNg+w6LNnB4Ci0z3yWLwGqCNAyJFo2g7E0QqRmiHzARkpsH1cIanW4/d9bOWFsz9WV3DMd4detj0cXxo12ZPidytArMTkibGi3WH1ukwQ204dM1xnJHYZFm2oWmWQOki2y62epTxVrrIwrAHlVmkBMepMQzSS6kJA0GzWQhMpvurbnx39FyDD2MiE2bhKJ5j0RxMpQRJDUUCaCwmUCyh6SOoFvEboTGAIsAyTYzQhH4OtqLmNMhEQFU28FWHqtVE6YRYx2hdp2rVQRoWkv493RWfVAsGNi6Iq3fIay1Y492hHzbDabcKzE48ZynlHdmFwwy1mzdv0uv1uHDhAt1u94GHrgVBgJRy146d2FUCs9HalvWwVS6ymZkZ5hbf58nni8VYyJXHyLOiVYzRFVJzHZsWMHSTBTBKUVYI2mBColwxmo8M6LGgviYY/Xt8xowlKiR5jNGS3Ezgqz4Oktj4KARGCmKTYasmtiWRxsaxJJHyadhNtLHophkN2yNWGdeDeY419635mUsL5uFYnVI7TIdeneE03h16Iz7+3fbd7pZ2/cNheVNTUwC88cYb7N+/nzzPV3T3Hs9QW/37DVOUd9tvNGRXCMx4bctWjzIeusg268bTWnPu3DmuX7/OKz/egFHNi48xdYQohMarFgtxMoq9WGNZYgmSNsPYizEGZWqkZg6QWIO2MJoYyzTQwseQImmh6aEJkFTRpGRKshQXbWcqYgKDJlY9DGB5Bke0iHQfV9SZSxfxxETxN1wcKeikPXLj0MtcNBnXws62CcxusWC26jxXp0OPD+0atkQZn+75IOnQpcBsH1rrUSIHFC1thvGb8ems4zNwhtMsd9tvNGTH/0rDQP5GCyfXy3AHsRlxmCiKePPNN1lYWODV117Eccb0XAAsB8hdT6BUlcwU9TGKHsaMf87ln8oYQ5APW8dopFgOAC634wexHPXHmAa91GEp75DFxXvFeQ+tQFpQdyaKowzcbblZHrU8E3fJdANjJI50mHJr2FKjtUNmYmbDsay4MXaTKOxGhkO7nnvuOU6ePMkXvvAF9u7dS7fb5e233+Z73/se77//Prdu3SKO4zXfoxSY7WN17MjzvNHv9+qrr/LKK6+wf/9+giDg7bff5sSJE/z9v//3SdOUU6dOPfSa9Fu/9VscP36cSqXCK6+8wltvvXXP53/rW9/imWeeoVqtcvToUf7BP/gHd72O7saOtWBWjzLeSNHkRhheuBtt6zBkdnaW9957j/379/Pcc8+Ry6vkKMbf0ZiM8Y+U6nTsrwrBBAxSmjV+kaKMxM99LNFEsVT8zWSjDLKcPhiJEHoQ4HfQukEv66IH2WWjjvtSU6VBgk9uigsn0X1cUSU1EXWrSaD6NO0GoeozlximnTZKhAR5SqqqNO0aF4N59tVad3wHn1QLBrbfpTeeDn3kyJFROvR4hXq1Wl2RMGDb9q7sRbYbzxnu3Yts9XRWpRS/8zu/w2//9m9z48YNvvSlL1GtVvkLf+Ev8Ou//us888wz6zr27/zO7/D1r3+db3/727zyyit861vf4id+4ic4e/bsqN/eOP/hP/wHfvmXf5nvfOc7nDx5knPnzvE3/+bfRAjBN7/5zQc+7o4UmOHo236/z/T09LaJCzy8BaO15vz581y7do1PfepTHDp0CIDIfFRU1Gt31HuscJNVEUIThRrlLA1mwDD4uxmzQTIEE+RakrMwcIsVf1EE2IPZLqCwmUDRASRp1sbXhbVTERPEZgmnashCgV01YCnQFBX8skWse7jSI1XxKJXasyT9PGfanWAh7WFTZdKtkGmBn2n6WZ8oy6iuCljuNlH4ODGeDj2c7jl0x1y8eJEoimg2m2itqdfru8oq2E3nOmS4YX7QTatlWXzxi1/kypUrzMzM8Md//Me89dZbfPe7391QTcw3v/lNfv7nf56vfvWrAHz729/m93//9/nOd77DL//yL9/x/Ndff53XXnuNn/3ZnwXg+PHj/MzP/Axvvvnmuo674wRmaLUMh0C99tpr23r84fjkjQT64zjmnXfeIc9zXn311VFqoTL+aJAX1BgG74vsLw+I8MMUr51h0Rj9XdHDMs6opb8xEl8tDP4W4pg6WhTBfIE7mk5pyBA4hJlHqpeD/XEeFM0ABLhOBU1EbiIqskms+wzrZxLdwxI2se5TkVUi3aNqVUl1iDYKz7aZSzLqliZUBqNrvL14i9f2H7vju/ykWTA79Rxt216RDh3HMYuLi1y5coW5uTnm5+dH7WympqY2PR16M9mNAjNcT9brFRnGYBzH4bXXXtvQepimKT/84Q/5J//kn4wek1Lyla98hTfeeGPN15w8eZJ//+//PW+99RYvv/wyly5d4g/+4A/4a3/tr63r2DtGYFbXtjiOs72TJceQUq7bgpmbm+Pdd99l3759PP/88ysupIyPRv/Wd7jJikwwu5ECAowzVjBpBvNeumAgyJPlOS+AEMsWQ46PMAIhDJqEOK0TmcK95tIkpQ9WhqVqaCvE2NGgfUw2itWkxscVNVITUpNt+moJV7rEOqJhe8wlXabdNt0sIFIamxZTrqCfw824e8eNfy9RyLKM+fn5B0rVXP6udubivRY7dXEeUqlUOHToEEtLS1SrVfbs2bOiw/CwfmMoOJvV8PFhMcbsShfZcD3ZSB3Mw9bAzM/Po5S6o/v5/v37+fDDD9d8zc/+7M8yPz/Pl770pVGS1d/9u3+Xf/pP/+m6jr0jBGat2hbbth+ZwKynFkZrzYULF7h69SrPP/88hw8fvuM5OeP9wfp3uMlU3sKyxOC5fayBUABociRgTJtYL1GRE+SD2Etm+giK5xpybDGBpkeUV9BjSQFBGOAMBuLZtkU6aOnviQaR6ZCaHo6okJkYW7qkKiTVAQKIdQ9HuES6hy1sDCmZSdlfmaSfZdyIFE3LQuHwZ7M3+fKB5YmXdxMY3/d5++23yfOcNE1H0wenp6dptVprLh47fcHerQwX69Xp0MPpnsORxMOGj8MsqEdV6DhcqHebwCilNuTqf1RtYv7oj/6I3/iN3+C3f/u3eeWVV7hw4QK/9Eu/xK//+q/zq7/6qw/8Po9cYO42ytiyrFHm2HbzoAITxzGnTp0iTdMVLrFxMt1HkY8F8zUr3GRoYpWMylkMgzqXYQCfPtLU6GeF+ys36VjDS4UjJsaC/Tm5bhKqYu4LRoLUODWNTZWciNT0UanAcg2p8REIDAZHVBA4ZFqi9SShSrFFk1gnVGQVWyiatqSTLTLltgjyCD/PaNhNLFzqluJMf+G+AnP79u3RsLJjx46NmgkuLi7y3nvvrahcn56eXlFgthssmN1wjuOslUW2un5j/DcaT6cdb2ezXRuA3SwwG8mA9X3/oS2YPXv2YFkWMzMzKx6fmZnhwIEDa77mV3/1V/lrf+2v8bf/9t8G4DOf+QxBEPB3/s7f4Z/9s3/2wN//IxOY+40yHi7yjyKN8kFiMPPz87z77rvs2bOHl1566a4NChMzC9RBLGeIafTITWZokpOtcpuZFdllua6RU8RechPiiTpqUEipTb4c7DcOYT6s+NdEPahNFH+zhUtuikJMk1vg5mgyPDFJbmAhiUi1JjMBTXsCX0V4UtPPUnyRkiqJMWDRwPMcchOyv9IkzDXziY9HFSFy3pq7zct7i4t2XGCMMZw/f56rV6/ymc98hn379pGm6R3TB33fZ2FhYTTIq1KpMDU1Rb1e33WL927gQe6v8YaP4xMih/NvhBArukNvZdX5+CiO3cTDjEsejhLYKK7r8tJLL/Hd736Xn/qpnwKK7/G73/0uX/va19Z8TRiGd4jI8PzXcx8+EoF5kHYvwwX7UfQdulc/MmMMFy5c4MqVKzz33HMcPnz4nhd7rGcBgzv2Wyl6SO0gpCHOFRk+eWLwvGU3mTPoKwY2vSwuBlUOLZexOE2Oj2OqICzm0yUqosVwZky9NYixCEhMH4GNIcfyFGiBI9t0s4xAFWJVtydZypYI8sIdluiESbfNYtpjym1yO+5SdxpcCpaYtFtY0qKbdWjYDXINDdvhjYVbdwhMlmWcOnWKMAxHlt5a3+945frx48dHszkWFxe5du0aWmvefvvtR7JzXi879bxWs962K6snRGqtR9M9b9++zblz50abggdth7Le84XdacFsZB2LooijR4/e/4n34etf/zp/42/8DT7/+c/z8ssv861vfYsgCEZZZX/9r/91Dh8+zL/6V/8KgJ/8yZ/km9/8Jp/73OdGLrJf/dVf5Sd/8ifX9TkeicAML+h7+SSHH+Jh61E2wt1cZEmScOrUKZIk4Ytf/OJ9O5zmJirqUgDHeMUESqBwk9XBpIS6C0DogzequzRAA+igVJPMdKnI1qCuBTLTw2I52A9VltLC5RbmPSxRFE9qkeHJoluyQQ/SkJcwShAmHqlbHLtutQhUj1j1sISFMoqm3aKTLaFMApiipYywCHIfR0iUUHzY63OkOoWUipk4IskdMq14v7PApyeL9PIkSXj99ddpNBq8+uqr61psxmdzHDlyhDfffJP9+/ePBGe4cx7+z/Pu3tm5ZG0e1kMgpaTdbtNut0fp0MNNweXLl/nggw9G7VCG7WweRhx2YwYZbHyj7Ps+tVrtoY//0z/908zNzfHP//k/5/bt27zwwgv84R/+4Sjwf+3atRXf66/8yq8ghOBXfuVXuHnzJnv37uUnf/In+Zf/8l+u67iPzEUmpbxvW3MoJsxtdwbLWi6yhYUFTp06xfT0NC+++OIDzexI9Ozo30VbmGT03xqN0RUYuLqku/Im1yZDCodu1h+8XozFXjTWWOwlVppMF5aKtKAqJ0jM0uB1y58j0yEOLWZVH2EPstYwoy7LCkVzYMWEeR9bWMQ6Zspps5j1mPYmuB132etNcCvuss9rsJRF9DNF23WpuDZhJvnu7et8enKaMAxZWFjgxIkTnDhxYlN29YcPH+bw4cOjnfPCwgI3b97kzJkz1Ov1UezmUY0p3m1uvM12Qa8e2JUkycid9sEHH6CUWjHdc71tUHarwNyryPJebOawsa997Wt3dYn90R/90Yr/tm2bb3zjG3zjG994qGM+8iD/3RBCPLJMsnEXmTGGixcvcvnyZZ599lmOHDnywDdEbJaDarlOV7nJ+oTZsqvLq4FWFaQVD/4eoPKp0WjlxPRxcTGDWI4aBPuladHJu6R9qAyK6RMTYQaDyYrU4zoZAZIaQW5AFiJVtyYI1BKxDqhZTULVJ9E+EjkQm4nCiiFl3Irp530cIbGkxk9iprwWYW5oOALPzrkWaP5/772LWlhgz549PPnkkw/xaxSs/s7Hd87DuSqdToeFhYVRX67hQjY9Pb2j6zoeJVsd41wdYwuCYEU6tG3bK+I397NCd2OKMjxcDGa3tuqHHSwwsPXTJe933CRJePfdd4miiFdeeYVW6852KHdDm5RsYEUA5AQr3GTC1DHCYtiGH0ApZyQwAptwRRKdwRJ18sF0y9yE2LrOfNxD2IJa00OZBCFAmYTqwDUGIIWNbSaZTZbwZLXwwAnI9HL3ZcGwB1lGyymsmEj5WEIS64hJp0Un6zPlTTAzZsUcqDTpZTGLaUaqmjQsF0v7/EnY468ePnzP1hjr5V7WgeM47Nu3j3379t0xpvjSpUsr2txPTU1talxgLXaLmG1nEs34/JTHHnsMrfUoHfrGjRsrrNBh/Gb1orxRS+BRs1GB2c3TLOERCsyDXNSPSmCklARBwOuvv87k5CSf+9zn1j3GNlDzRZqwWA5mG1MbCUyiJEprxLhVIyPsgeWhdZNI97GFGM17SXWEGGslMzMb4E4NEwMSqrJFMiiuVGZZnXIt6aZFmnOiI2TmoN2M1CTUrTaB6hJpn6qsE+mARAcIBLnJaVkTRDpFCpu6bGEMNO0GiU5whASRE6qEx2oTLMQJV/sJTSlZqFhcUjknxN0X8vUGl9fz3PExxeN1HcM29+NTI+9We/NJ4FE2u5RSjoTkxIkTIyt0cXGRc+fOrUiHPnCwSbNh0WrHPP+pCSyni84rGLM74m4bicEMLb7dOs0SdrgFY9v2ttfCDFNlu90uzz33HEePHt3QDRioOYRoYuiOHst0iicBLHp5H4OhajzMMDYjciQtDD7d1EeT48g22cASUSRURBNFn6gPcsJCYqEH814Myzv81AR4so7AZibu0LQnydQgVVouPy83y+nTlrRAF6nPDWuabpZwPYmIlCY3CRNOk5m4x16vzbUw5HB1Aoxhf8WhE/v0M8W044FdZd4P+X4S8YS1OZfY8DfYyIK4uq5jPC4wXnszPT390Gm2n/QYzMMwboUChGGAUktMTxv6fgfX8wijmEOHqyRJD7c2Q541UNkkmJ09kGsnxGAeBTtaYLbbgknTlHfffRff99m3bx+PPXb3ccD3whhNpBdxZQ1r7N5VhMWNYDzMICNMUMOMu8mMQNIiHwhTrpfrXAD6fki1BqZSBZPgyAaJLuI08aATcj5IU5bGYybpAIIg72EJB0WGtnNEamPcnERH1KwWoeoRqwBPTHMz9AGfRGdoDHsGwf1Up0hgMe1Tt1xuxz2McVBZjkkVhxp1ekaxkATF+GWhOBVGfHpD3+LWcbfam5mZmRVpttPT00xMTKzbet1N7CSBGUeIjD17IozxsOyUtlXDGEWtXlgBufKxsYjjJar1RdJ4L9LsY8XNsoMoYzDbzE5zkXU6Hd555x0mJiY4evQoSZLc/0V3IdZLaHJi3acubBDLVpjSFRK9/JkSHWHLZbdXavpkWWX57yagKqqogWjYVY3FJMnAqol1gDDLbjRLeOQmwsJlJg6wpUdmEjR6kI68BKy0drRRVGSLmSjDFopEF+c77U4wly6xlPVxpU2oEvZX2nwUd9njVbge9qimKYsS9jabXE9iDlYaVGsGYXJuB5p3TM7PbsIi9jAWzP3e9261N+fPnyeO4w1Vre/ERXstdmLQXMoUz+sjZYY2oJWFZaUo5eA4Of1+Tq1hobWgUtMIAX54jTi6Tr8zwdTU9EOnQ282Sql1x/2GLrIyBrNFbEe7GGMMly9f5uLFizz99NM89thjXLlyhSiK7v/iuxDq+eG7I2iOMsGgCKIXhY3FAqRIqFC4vaColE+xYWz8cZIY7IGrWQqLSC/fOMpkNKyiTxkUvcNs4RLlHqkJqIg22WB4WJD3kcJCo8BVVGWdWIfk2qWbGvw8BVLadp1uHtDLil1ibhTTg0LLQIXYQjKfdPEyiByYsqr08gghBJkxzEYpVbvokeYr+P/euMlPHj2y4e9znK12Qa1Os11dtS6l/FjV3uw0C0bKhFqtg9YCrW2klZHnEovlTVGR4SkwxkXKBGMkrQmL9qRBSp8P3r9NnucrukM/6qmQG4nBhGGIMaaMwWwVW52mnKYp7733Hr7v8/LLL9Nut4GHt5wCNT/6d6oznLHrShsXCzFq9QKs6K8c5YJYrQzm5zLG0gIhDZIW3byPJSRmkEAwPqjMoBGmRW8w8bKf96hIl5wUjRqlJgMIYZPkDRbSHnVr2Yc9PG5mcqbdNnNpl07apSZdQp3SFhUWTEzTc0l0Rs22WExjDlXbXPZ7VGUN13LROsOz4I9n5vjvDh3Ee4i6lEe1OFSr1RW1N71ej8XFxVHtTaPRGC1i7Xa7jME8BFJmeJ6P1hLLUuS5hTGFRWOMRMoYpaA22tAX173WHkIUG7KpvZqT/4snCHutUcLA5cuXsSxrRXfo7d4YbMRFFgTFGlG6yDbAo3aRdTodTp06RavV4uTJkyvM14206x+S6YjMLItHagLcsUB+kGeAs8JVnOg+NgJhLPp5DxBUWZ71Ii1wZRtFwGLaQ6OpWRMjqyU1ETXZJDV9XNHgdtxFIotiTgyurJEPRChUPhgwSnA7zRCmuOgDFTHltlhMe/TygAmnwVLms5T18YRDYjLajkeYpPgmwhU2ASn7vAazic+hSpPbUY+24+FKwbWgj20J+qlB6pT/+/nL/N1nH74e5lEu4ONDvIa1N0PrZlh7M9ykhGG4o1vZDNkpAiNETrXaQQiFUg7GaKSVorWDlDF57mLZKXFsqNQEWjsIOezHFyMEReGyXAJxmVrzUzQaRzl69OgoHbrT6Yw2BrVabSQ22xFn20iQPwgCLMva1VbyjrZgtkJgjDFcuXKF8+fP8/TTT3Ps2LE1u8lu9LiB6tzxmKEGJEg8AhUisahYyynMBk0a2Qhpw6CNf68f0Ggvv0dqEixRRw+C/7GKVvQn0wgEFgtJTm4UE/YE/sBS6ed9POmQk6FMjpPV+ChOyKyElr3s3010MqjtL+bWACijmXCbAyumhxMLqvUWQriEeY4xkim7jS0lk24VR1pcDnyO1losEuMrhTFwaqnD9SDkaH1jbS92wiK4GsdxVjSBDMOQubk5Op0Ob7/99qj2Znp6etN7cm0WO0NgDJ7XxxiJEAopc5Sysex0tKEQosiUFLK4Lo0WCAu0dhFy2O2CYuMmIJeXcNSPIbBXpEOPF+V2Op1RnG08bb3ZbG56/GajFky9Xt9RsaT1sqMFxrbthwq2r2boEuv3+7z88stMTEys+byHEZhONocQ3orMsFQnuFZRBwPdYuiYaI9avQBoYUhYdnU5dYGFixq8jzaKaCwelZmEht0i0UU2Wqz7OEwRDTLKfFUE/40waDSu1SJXHWzhMp9pssGaMrRWerlPpBKm3DYLaRc/j5h2WyykPcIsJutC37FoeXXO+wGCgLpVZTGNOVhtca7X5Ui1zYW+z7HaJFooApPhGUkqBLk2fPvsZf7li5/a0Pc6ZKe6oIa1N67rjiaxDptAXr58mffff39H1t6st9nlVuC4fSwrQWsLrW0sK0cbjTECKZNBLCZGaxuvkqG1ARkOzl8UnSmMhRHF5svoGloukZuLOPrO2fWr06GHcbZOp8P169cBVsRvqtXqQ39HG4nBbEar/kfNJ8ZFtrS0xDvvvEOz2eTkyZP37G+20ZHJxhj8vOgubMb6jmUmwjNVgnxZQFKdY42tL7kSJLnGHW7wBUhRGzSbLHqZZVqvcK3lY9lorqjTS5f/OzcZE84Efr4EQD/rU5Ee3dQpXFypJK/owXP1qLVMqCKkEGhj0MZgUo8rKqHtVchMxkIacLDS5KO4X1hhwGISUpEWs4mPK2zmkpjZJOWQXSGVCUpkZNrmdhTy327N8RcO7V33d/uoF8EHZSiA48kATz755B21N8aYFTGBrWxxf7/zfZTfrbRibLvoQGFZOUo5gxhMTp47g8cElgStJcKCKDRU64UAGeEXt4T2YOQyAwQo6xZS78di4p7nMB5nM8aMNgZzc3OcP38e13VHv9Pk5OSGeiM+jAWzm9nRFsxmCIwxhqtXr3Lu3Dmeeuopjh8/ft8b6l7t+u9FqLpFerKKcVd9s9rUVrjPEh3QlMvpx/00x2gLl+XjRrmPLQVS2MzGPTSGtlMjp9i9xTqgbtVJTchSCt2sT9OpkOqi3UyQhzBIYdZocj1BJy3OIXM0rrDJTI6fh0y5LZayHolOmXImiJXhfL+HGxuoSLqk7PEazCcBkU6whGA+DThSa3Ej7HOo2uJy0ONwtcYlP+BEo8WFfp/cCJLMwrYMGfD/unaTHz+4Z8PVCjvVgrkfq2tvhovYeO3NsNBzO2tvHq3AGFzHByMKl5iVY1kZSjlYUgFqEORPBu6vQRul4TRYXUEMHtODewLjLHsGjIPPRVq8OBoLfj+EELRaLVqtFsePH0cpNUpbH3aBWN0d+kGEYyMxmDAMd30PvUcqMPea2Q4Pn6acZRnvv/8+3W6XL3zhCw88uGejwtZXReZWamIqZjlID5DqoiPycBQyULS5EBFpBKYiwZjRzBYARU5NtlFGjGIv4MLwZirOFle0+SgrXGU2HinFTZeZlAm7ja+6eLLNjbCLKxxSk2EkNO06i9kwppOCAc9ymY8z5uIIIwW6ZuMhSHROrovxzUGecrja5lpYuNIcIfgo6rHPq3Iz6nO42uBW1KdhWWArAjS5sgFDP8359pkr/MJzx+/7+4+z226ye53v6kUsz/NRxtPq2pvp6WkajcaWff5HKTC208eyUwQCrS2UsrHtDCEUWltImZHnNkLmaGUhrJA0NVSqhcBok4AAo6sgi42T1h4M7jut6yjRJTWzeOy/63ncC8uymJ6eZnp6Gijc7GsldgwtnLv9VhuxYEoX2RbzMGnK3W6Xd955h0ajcV+X2Go2mkXWzxdG/zasDOj2swxXNMkGFfwA/bRH1QbbbkIegABHNEjHmmRmOmchiUf/3ct6NB130OEYYh3RT5Y/21LWp2F7pAPXWqhjqrKwLgAm3SaLaSEqi2kf13JJdUqoYva6U1zo94hNRNPY9MnJjGK/1+KjuEcvjzlQaXMr7jGXFNX8gUo5XGtzJehhi2KfmJscMLQsyXWlqAgbH0WgwBPwxvwi/6vONI83lgtKH5TdasHcC9u22bt3L3v3Fq7DKIpYWFjYltqbRyUwQmRYVoxWDlJqLEuhlEApC2U0aR5i5HwhGAQYVcHogLBfpVGrFPfzILivzcB1bMRo/hJGkmgfBERcwjF7kOLhxze4rsuBAwc4cODAiqaqnU6HK1eujBIKhr9VpVJc4xuJwZQusi1mI5aEMYZr165x7tw5Tpw4weOPP76h3lXrHdesTE6olsUjzAMqg2JDiUM382nYLcatZGEZbNGmo5YFJMgjbLls6SjjYAtJboqBYgaDRX0kMEYPdzjR6O+2qI4EBgO9bPlnXkh7eNik5IPq/iqpTmnZTS70esRagRT4Vk7LLgooZ5MebadKN4tYzAI8aZPonH2eh04NyhgOVdoo4Fh9mlTlPFGvMR8F7NXQcRWB0tSETawhU5r/6fQVfvMLdwZg78ZusWA2QwCr1SpHjhwZTYwc1t4MOw6P195MTEw8VLLAoxIY1+0iZREs0XowihdFnPsY0QehMcO4iq5gZB+MhVXzSa0+OjuAbUtAwii4XwexOPhgTYzoDd5XEJjbNMXhTf0Mq5uqjv9Wt27d4uzZs1SrVSYnJ9Far/va2O1tYmAXuMjWIzBDl9jS0hKf//znNzzLerjTWM+uw887MNZ+RZFj00LRRVIHevh5n6ZlI6yx1jHGIjXZ8mcwKXXZGrTaF8xFEbZcuWPt5X2qlsSWLpf94iZqOx7JQFSWst7Iiolyj24WIhGDqhiDK1zSQbflxbTLpDPBuX4XIwR73AbzeYABHDm88cEZLGKpzjlYmSDVMJdkQIXTPZ/9lTo3wwBX2ggsQpXjGptAw6FanRtLPs2qIskElrFYyjL+b+du8reeXt9N/3G0YO7FvWpvTp8+TZ7nK3bM6/HZL6cAb6/ACBkjZYoQAikUxlgkmUbJWYxQoGtg9QqBEWCMHFgodSxrCZVbZGIGmVWpyhbDOmU1cJkBJCpdHtBnPPrmBg1zaEs/6+rfauj6XFgoPBtvvvkm7XZ79HvdL5OwtGC2mPXEYLrdLqdOnaJWq/Haa6891BTM4Y++HoHpZ/4dj+WDzKwoX3a39Xs5rTHdC5TGEVUys9waJtUKBHiiRaj7oDOm3BqJLmIvyigcMUGUG8ygk7IlKjDMOBtYMbaocTEsBGif16aTLQHQMyF2CtqFuqxzdaGL8Yobr6PCketrIfXZ6zWYS3wW04CDlRapFpzt+TTsCrNJTMvxsIVgJg54vNHikt/ncLVKL8ho29DJC4GqVAVzfWg6FtI2xJnmj2c7/HeHpnisef/amN1iwQzZqvNdXXuzeoDXempvHo3AGBynjzE2Rhe1YJmKULILugLCBxFjjA2iD8YpLBEjyAfdL/LMRXox2iR08y4t4SGQaDmIU+oGahCHEcbBH6Tyh2aOuti3bZ906PpstVrcunWLL37xi6OEgZs3b466eA8FZ/Xm4ONgwTz6RPx7MIzB3GvXOnSJvfXWWxw+fJiXXnrpoUcsD0VlPdbT9WgWW6w8bqj6SDwW02XxsetOkdkFSCxmIh+1aqZFqAIcanSz5eNrs3KhSLTio3D5fRfTHp5Yfp9YpdyOkrG/+zhieT9htKEqKlzyA0JXMO0WF7Iyhpq9/D6hypDAHq/F7SjnUj8g1RrQSKCXJRytFb2SZuOApu1wM/J5vN5gIc84CFwJfFrGplWDRGh0JhEacuB//OD6/b/cAetJCvgkMBzg9dhjj/HCCy/w5S9/mWeffRbbtrl8+TLf+973+MEPfsClS5fodrt3xBXHU6q3C8sKkTJDWhopNKmKyE0M5BgRg6mBTIuqfGEGVowB0wSRoXIQziCbzDTJiVnKEvKx/nz5+Mc0yxZA39x4JNePUgohBLVajUOHDvHpT3+aL33pS7z44ou0223m5+f58z//c15//XXOnDnDhQsXuHnzJr7vb5oF81u/9VscP36cSqXCK6+8wltvvXXP5y8tLfGLv/iLHDx4EM/zePrpp/mDP/iDdR/3kbvI7sX9XFV5nvP+++/T6XR46aWXRvM+NuO8hBAPLDCpTunnARNuCxjvC2aIY29kZQDk5DiiRUYXWzTR9OikPdq2HFXxA2jjjYLxULi9Jp3l4H2QCVpOm+6gzsWw0ooJcxt7bGJmbhRT9rIVoyV8tBhjqsWNmah8NOlyLukz7dZZSAMyrZhypvmwW2TpHK21uBr0WExjjtXbXA56XAt77HErzKcxh6tV+nlGJ42oSEHX0kzbHoFUmNDgCUlsaTIDNoaPkpT/6+kb/B+e35xmmI+aRymAqzOehrU3CwsL3Lx5847am6F1s30WjMF2ilZIIMhUghILgAe6hpBBUTBpRGHJGDmKo6hBZmQUWHhNDUaQmGFqsmQpi2m5EnBJ8YtjGEmglzdhxkgi06UmJrbp8xastX6Nd/E+duzYiqF4v/d7v8ev/dqvUavV+MxnPsN/+S//hS9/+csbrpX6nd/5Hb7+9a/z7W9/m1deeYVvfetb/MRP/ARnz54dFZuOk6Ypf/Ev/kX27dvHf/pP/4nDhw9z9erVuxam34sdbcHcy5Lo9Xq8/vrrZFnGyZMnN01cxo/9oJlknXQJgMUkveNvM4v9Ox5LVPG+/sBCMRhMvjKjylfgrLKIhCgusIqscSsO6AxiK0MW0x6e9GhYbW7HAbNJj8ZYE8v5pIcnXISGbiyw69VR2KiXxxyoLvemyY2mZVeIcpsLfpeWU5zLjbDHHq9waX0U9ZlwXAwghUACNyOfY7UGocrZP/hby7FIdI5JDZarSSJNVQoio4kzzf88u8CP5u78nlazmyyYneDSG9beDHfML7zwAs1mk9u3b/P973+fP//zPwdgcXFxW8ZiCCukaIRnkeWK3ERgKgiZYFCDoH4Iul6MuNB1EAp0Y2DdSOxqcZ7CtJYH7Zki/hjnTZT2GAZfpGliBi2PBJJ+HtLJP9ryz7maB6mBGQ7Fe/LJJ/n617/OmTNneOKJJ1BK8fM///NMTk7yV//qX93Q8b/5zW/y8z//83z1q1/l+eef59vf/ja1Wo3vfOc7az7/O9/5DouLi/zu7/4ur732GsePH+fHf/zH+exnP7vuY+9ogZFSIoRYEYcxxnD9+nXefPNNDh06xOc///ktaQa3ngSDxUHxYqBiPLHsMzUG4pqLI1b6UX3l41DENkaPkTIszLeEzY3QxxYrYxNLaQ8Lhygvdp6JzmjareXjARZVbgTjowaWd04aQxZmpJEkciz6KmV/ZVlU5hMfb+BGs4RFrip00pTcaKqWMzoGGCSFCNUHBYHzacQTjQkOV9tEOXiiyodBgpMKzvRijtUncByb2ZmchivIjMLTUHUh04JvfnCdVN1f0HeLwOw0hrU3x48f56WXXuLLX/4yx48fB+DChQv8yZ/8CW+//TZXr16l3+9vwfdssO0+UhgMmlzMgSxEw+gKQsYMr1VDBEagRbHpUGZwY5gmli0wBhKzPFQvGowJD1TMqJmFKVL0h1imiSKnp+dXTHHdDjZSA3Pw4EGmpqb46le/ypUrV3j33Xf56le/uu5jp2nKD3/4Q77yla+MHpNS8pWvfIU33nhjzdf83u/9Hq+++iq/+Iu/yP79+/n0pz/Nb/zGb2xoE7Kjg/xCiBULfZ7nfPDBBywsLPDiiy+OXAFbwfoEZmn07ygTyMG36ooaiU5IlY1YJeWp8hgvmFQo0lBQaRps0UCZPvOpT9uxB3UlhUA4ssm1cNl11skibFFkiAHEqqj8Z1CsuZD67K006A2TEKRDJm3QyeDcQ1xhkRpFqhUHKy1yY7jYDwsfv+3i5ykzccCRaosbUY/FNOJovc3VoMtiGvFkfYorQch7S0UNznyScKzeYCZJ8KWhbTuc7/fxXJv6hE2sIEyhYhS5lEht6GWaX/7eB/wfv3CCWm3toP9OsArux24RQNu2R1b/q6++umLuzbCeY+hKm56efui4ppAhUii0sUlVD4QHMgUZYnQNsEH4xb+FX6Qcyw7o+iBFWRQWjwCd1dBWce8Y4zF0SwtdYyEPmPZshKmNZiyBwM+Hmy7DUn6bPc7GptVuhI1OswzDcFS4+fTTT/P000+v+z3m5+dRSrF//8pC0/379/Phhx+u+ZpLly7xX//rf+Xnfu7n+IM/+AMuXLjA3/t7f48sy/jGN76xruPv6BgMLC/0/X6fd955B8/zeO2117a8hfWDFlsmOh0MECuYi/vsrwmQBo0HJCymffZVlosjARaSHIk16loMkAioAHNx8TxlNK5okY8VXvZScAYtXorjZ0xW2nSzJapWhUt+jz1eA1jevflRjJGGinS4pTQte1ntEp1zqNLidlKIVqYNi4kmNwaMYY/rDgaRwUJa9ByLtWIm9nmsOsHlIOJsr48UktwYXCmwBFwNfI5XqlyJI/Z7Nr0speoISMDkmkpFohOJkQKhQThwLsz5P//R2/z45HIsYWJiYsXNuVsW8N3A+PVdq9Wo1Wqj2pthPGCzam8suw9Ckql+Ybkgi6wxmYCIyPMqmVGkOkARY4wGbBxsHLuJGMRjjIF84BqTxiM0RUxH4tIfZIslqo4Yi3vaprlcgAl0lc+0vX31Pw8zLvlRpClrrdm3bx//5t/8GyzL4qWXXuLmzZv8D//D/7C7BOZBkFJy+/Ztrl+/zvHjx3nyySe35cJ4UAtm2Ntr+YUSz2qRmCWWkoGPGIOgznCn5QiXq7HP4erEqPsxgHGhIqe5NgjEA8ynAQ27ECJPelzudzlYnRgF9wEW0wBHSDLlokmZTXwOVBp0B1ZLJHL22g26OeQmYjGLqMWKrFZc9B/FRSGlJSQX+iFtpzIK+H8U+xyqNLgV+0Qq50i1hZ+nJMpiPlX4A/floWqFfp4xm0ScaLY41+szm8bUtOFGGPJsq8WZXh83UVh1m7SnoWahfI3r2kSJRloWb5oW/8t905jc5+zZs6RpysTExMha3Q0CsxssLVguslx9vuPt7U+cOEGapqN6jo3U3ggRI2SG0RaaFIEFIgGRk+cusQ7ITR9JHSUiLNMioYdFg75eglRiUaVh1/H7AXZjGHupMEqq0RUYiEqUi2K43eCUgrFCZguXG9Eie+w+7TH38laitV63IA9T0B92muWePXuwLIuZmZkVj8/MzHDgwIE1X3Pw4EEcx1khis899xy3b98mTdP1dUXZ2GlvD3mek+c5N27c4HOf+xxPPfXUtt28D9pReS5YvOOxXpZj4bCQLrvAOmk4Sk+2RB0QLKbR6LEhfrbyJ8mNomoVN4IwVQyCmbiPK5fTllOd03QmuB4tx3SiXGHGDDAjvBUtZxJbYg3uQANULJfrYUpuDAtpxNH68s3XzRLcgY/PALlyuRXFfBSFPNEoboBbUcCJwb+v+D0OVaqkxlAZxGuu+D1aSuG0LPLA4DYlKsip1wSZVtgYLAGhgm9eXOKxE0/y6quv8vLLLzM9Pc3CwgJKKU6dOsXZs2eZm5vb8nHaH3cetIrfdV3279/P888/z2uvvTYqYl5YWBil13744YfMzs6SZdkdr5dWD4kk1f2i6aSxMLpGnCkiPQvGAzTaZGDEqCZMDUYjO7SIdMhcGtIbeLqK2EthdVtURrUuAH6W00uLjYhNi2yskFnpCgaYSWc39qVtgIexYB62DsZ1XV566SW++93vjh7TWvPd736XV199dc3XvPbaa1y4cGGFhXvu3DkOHjy4blfpIxWYe13cvu/z/e9/H2MMTz311GhG+nbxIFlkMzMzfDjz0XgBPwBLWYikxXhv/URnuLJYtJfSYmGMVDoSDwCU4Xx/ibq10ixeSANc4XI18AdP01TkyjjFXKxwx+pcunlMbVA707ArnO112estH0vZy7UvrrS4EaZMucvHvRX6NOziYgpUxoFqgwOVNqe7Pr08wRvsyK4FPtNu4a68GQZMux4ayFBMWjZSG/YbichAulWyXKJs6PcgziELDGmQY1cFqdZUbEGgFP/9n10Y1Q4cPXqUF154Adu2R92wL168yJ/+6Z/yox/9iKtXr+L7/o6wbnbCOTwoG2kTc7faG8uyVtTeXL58eVB7kyKtlEzHFBdBikERqAW0EQhscnpIWigRY1Fkh9mmRUaEwC6KjQGXNqYpSdMG2lQY3l9au6N/u7SITUJfxVi6STg2IsPGYyYp3ms2nS96mG0DDxOD2QwX2de//nX+7b/9t/y7f/fvOHPmDL/wC79AEASjpIG//tf/Ov/kn/yT0fN/4Rd+gcXFRX7pl36Jc+fO8fu///v8xm/8Br/4i7+47mPvSBfZzZs3OX36NMeOHaPb7T4Sl8O9XGRaa86fP8+VG9cIn3A4bNfx1co023525zkHuaZmu1yNA4Y3RD/LsQfXXhZCJg2pXqn7qc6RTJGbZXfaTNRn0vWITULbafJh1+dIrcXCWO1MYkkkgih3UCbjZuTTcjwCVQT4b8c+LddDaZfFNCBSehRjyYxmzyDAbwtJP6XoUwb084xj9SaXfZ/cGCxZJEtnRlO1LB6rNejnBktoLqERCg7XalwJY55o1DnbD6log/Fs4lBhtxyinqJiSXJLY7TgUj/mN390lV/63LHR5xlmQh05UtTMjDeFvHz58ooq9qmpqW1reb9b2Yw+ZKtrb+I4HiULXL9+nSNHKxw60kTYCY7jgXFIVIAQBkUXYdpAD2WKLLLUFDUsw3ovizqGLhKbQA1cvkqTaInjgE2Vni7iMALJUracQdlNLbCWrfpcewzdaLnJmc8W2edu/cZ1IwKjtd60Sv6f/umfZm5ujn/+z/85t2/f5oUXXuAP//APR4H/a9eurXDhHT16lP/8n/8z/+Af/AN+7Md+jMOHD/NLv/RL/ON//I/XfewddQcqpTh9+jSzs7O88MIL7N27lx/96EfbkqO/mru5yJIk4dSpUyRJwhMvPMft3gUidacheMWPqDvWcool0M0C6vYkjE2y7OURh5wmse7TV8V0vrnE51C1RqgKF5tAcC2MsZHkg3kxRUZZhVglLMbFYzeDHnVADbxngUo5UpniTK84njKaiuWOBEZhqFt13vOLv0cq57Fak1tR4W74KPJ5rNaim2ouBQETjosjBJkxXA36PFZrci30mY0jnmi0SLVmJsqZdB2uBoXg7lM5s5ZDN8tp2TaXggDHN2QNSTUwiKaN8DW0bHSgQUOS5NiOxX++scTT7Rr/6yeKLsOrF8PVTSGXlpZYWFjg8uXLfPDBB7RardHit5Ut71ez22Iwm0mlUuHQoUMcOnQIYxRY14jTPpDT68WIasQwwG85gpwukjaZ6GLpNjldbNMmooeFR6iHbrA6etCJPNOCyATskW1yFMPNmk2TfJCyLJDMxAlH6k0y+thUuJn0l58rbK4EnW0RmI12UgYeOgYz5Gtf+xpf+9rX1vzbH/3RH93x2Kuvvsr3v//9hz7ujnGR+b7PG2+8QRAEvPbaa6PW5Q/Tsv9hWMtF1ul0eP3113Fdl1dffZWeKMzvm2Efd6wosmrV6OYpDevO3Uc3vfMrj5XAFS6+vfx9KL2s/S27yUIS03RXBiVn4h5T7iSzyaCTsoB6ZfmCdKXN5SAc1bBAIRpFlhlM2lXeXepwpLr8mmthn31eYZbbQhLmgvlBAelSlnJo7LmLaUTNsmg5Dv1Ms5Qa5pKUc/0+U4PfrGtb7Pc8+nnOtOciAdEUJEsZ1AWmn2MaErWUQlWQpDk1zyJThijT/Ob7N3l3drwae20X1DCt9qmnnuKVV17h1Vdf5cCBA/T7fd5++23+7M/+jNOnTzMzM7NmnOCTyFZ3UpZWgG0LKlUHz23i1l2EroEB6YT0lhK0gSTvg7ZJ6CGwSEwwOL/iurWp4KvB3KKuJjJFLNHPDOmgE7OFQydd9iK4NIl0xlxU3MOpWnajAVimztVoEbUNbrKNDBsbCsxub3a5I4L8t27d4o033mDv3r28/PLLoxkKsLljk9fD+HGNMVy5coUf/OAHPP7443z2s5/Ftm1m46Xi74AzVhQpTCE2M6sq+21hc7bXXSFGUPQJw9QZL5aZSfpUZVGF302Lm+BW5K+Isxhgvr9ysZxJfCac4qJs2HW6WUrTWdklIMhypDLMJgqDYD6JqMjlHVagchwhaTsNLvo+e7zlbgCXg2KgGECoco7Wmiwkhot+SJDnDJPHU8ehaVkoIZCySF++HoY8224iBAitCeZSHG0IFzIcW6B9hVexSIXGMoaKK0kV/Mr3LzEXJutaDCuVCocPH+Yzn/kMX/7yl/nUpz6F53lcvXp1RZyg1+ttatzk4x6DWReWT6YjBIZQdzAywHIzHLuJpEq9LcjjKmksmJ/LCfuGsC/RKCxTIx6MqNDGZugCU05xjwgE3SzjeuhjU0GY2qgWzBYOt+PitUt5jGMmmBsXH+FyLeyTG8XtwT28lWzERRaGIY7jbHk5xlbzSF1kSinef/99ZmZm+OxnP7tmX5yHnWq5UaSUoyy2Yb+z8REAymjmxy7a21FEc3At9LJCELpZwj6vSS8vnlez6uTGxxI1WFVNvJZlo41D3YJzQeEqy7SiZrdIB1Moa9rhchqx33Hp6eX3S5ShaXlc6BXHvR72OVytM58Eo/OqhoaeW3yv4cA1diPqD/6e8kRtive6SwBcC32O1Zsjt1cnTalZFtNegz9f7PFks8mFfp9uljGNYQ5BqDWHKhX8PGcuSXi22SJRsJQoDlWanGkHZJ0MVXOwlUEpQa41VgpppKh7FrHSuJYgVpq//18v8HfbG1vAV6fdJkkyit1cv34dIcSK2M3DFhXuFrZUYEQKRCA0qdJIXMDFiARDQpLViLQkkQm2rGDaIZl2SUwGviAPAppTAnKHxC6uW0vXEW4hHJ5o0Rlkji0lTtF5efi5dBXFstU7H0vGrRelK+jB36/HCxyubm6bqdVsdJplvV7fNe7Wu/FILRitNXmec/LkyTXFBR6tiyxJEt544w3SNOXkyZMr5svMJz302GLnq4yG1UQi+SheLrz0x7Rx+O9bkT9oRFnQtGtc8HuIZKW5PpP00Xql9XEz8vEGKcqdeBCwFPaKTLbFNMISdcbfLVKK4bTm/ZUmH1k2zTHX2bWwz/6Ba+xItcU7S0scqCxbZTNRSMsunh+rnP1ei/eWipv0iu/THLgTF4Tg6YHf+FYcsz/NOFJt8MPFPokWXPRjrocRlRwqkw5eqMCR2MIgLFHMq6nb5MqgbAF5keY8G2f81kf2plgInuet6Gr7Yz/2Y1SrVa5fv873vvc9/vzP/5xLly6xtLS0ocmmu2VRMMZsXSdl2UWZlFwbMhGghY8WMUlWo5c6dPUSRbtTPeoWJqQLAipum6Rh0YltwkFmfR4beoNEGhuXmWQ5LbmbgkXhPvZEdZQpBtC0GnzoL3car8rqaCMFcCNaROmtXV82EoPZzE7Kj5JHKjCu6/LCCy/cs0voo3KRhWHI3Nwc+/btW7Pf2WzcvfM1SlC16qixNfCjOKBmVZEIboaFJZIbjSfHgncDl1qWrlyYbCFZTFY8hDKauJ/h5ZKlweKwkEbsry7HZ6bdOleCEG9MxBbTmAO1Nq60uBmlaCGwsFYIU6hyDlYanOn6GMDPc9zBYhlrRdNxcYWg5dT40VJhuRSfxyBse/Tcy4HPE40Gh706l4RHpkEjuOD7PNGoEmuNYwnIDKZtkc5EKE9SyQxUJXam0VWJHSsyV9DPFdIYbivJP3vj1t1+sg0hpaTdbvPEE0/whS98gS996UscPXqUKIp47733+N73vsf777/PrVu3SJLk/m+4i9g6C0YX7V4wZCZBGhd0kyit0tdL5CbHoU5s+ni0SU1ERbSIdYCNSycrBMCzG8xJTZ43se16MVwJWOolo8vWU1UWs4iLvo8jPIJs2VopNnsZIAZpzcM6s+XPXLE8rkcrM0A3m43EYMbbxOxmHnkM5kFa9m+ni0xrzZkzZ7h9+zbNZpNnnnlmzYtjKY3veOxW2CdVd3odDS51u0Eythv+KAqRg17INwfbtMCR1MZmukw4Ta6GfSadlTsZ3xVIb2V2yWwcYw9iOGEuCPKcKW9lksGtyKftNOgNgtxzWcLR2rIw5VqTa2dk+SxlKQdqy+8xl0Qcqra5MmimebnfpzEQ/57WHB3suI7VG8xEOTeiFCMEN8OYAxUPZQyLacIezyGSBtVNQRvqBzyy+Zi8KnH6CjyLbCFBtGyyIKNetYikQRs40034p3904Y7veLMYzlz/1Kc+NepAXK/XuXXrFq+//jpvvfUWFy5coNPprGndlDEYMLKPMhGpSkFkaAOd3CcxKS5tclKUKYqRQ+MjsQkH7Za0dtEYKrLGXFpYKZGymMskwkgyH/JKcZ1LLZkZ3IcGmO8KlvLlNOWqbBCo4lq/GoTUZXOUEDNkIYZL4Z2bxc1kIy6yIAju2pNvN/HIBeZ+bKcFE8cxb731FouLi5w4ceKe0wDP9nxW35oGQZDfeSFdD30StfLxROfUrBYtu04/HwTqhUCPZY91Bq1ho1Ufv2F7dFdtpkOVMe012es1uRkVN9HVoM+Us3yRNm2PXrZyAbwZhdRtBwE4ssLZXo9D1WVBKyZU1rGEoGHXeL/bZ79X7AYV4FYqI8vlVhTxTGOCU52A2SRl2nMQxpBojTaGmiXxc0XFEnhSYHuS6EoIfY1xLFQ/J21YmFBhTVeIZxM81yLvZtQNCM9CS8PrH/X5P33v8h3f82YzrLt5/PHH+fznP8+XvvQljh07RpqmfPDBB/zpn/4p7777Ljdv3iSO79xw7HS2TmA65EZjhEarCn4ODk0Mmtj08GiRkyCpYtDYVFEoKqJFXwUIBLEqehW5wmEmCVlIY3qxO9YeFixZR8tB2rGRXElyTFhc31YuuBwuWyaZMSzGK+/BCbvFTJJwcZCmv1VsNAaz26dZwi4QmO2KwSwuLvL6669Tq9X44he/SK1Wu+txF5KQ23E4GDC2jCttznRXxlegmBLZS++8wGbjiFyvtHhm0oimXaNpV7gZFkIxl0R4Y4LiySo3ooC9qyyUG6FPMJZUZgBlxMgNFinB1TDgSG3Z+km0omFXOFxtc9kPMUA3zaiMWW2LacoBr8klPyQ3hl4UYQ/eczHLOFqvs8fzMMbmnaU+R2qFAF2PYvbrwvqcT1IOVisDF5vD440mccVBPtYgCxVWw0HbEhPmqKbECxXuXg9HGUzbJtcGmWuySKGBP7y2xLfeuLrm77NVDMcVD1umvPjii7RaLWZmZnjjjTd48803uXbtGsaYDcVutputEBhNhDZ9MhOhjcRXKRkRqekh8ZA4xKaHS4PI9PBEnUD3sXBYGrRWqsrmqH+YNh75IJU4zG2WBiLRkA1mxsZdSFknE4LQLjZHUW5jxraAXmbz0djN4QiLi35xjE4W01nDI7Fp38kG62DKGMwm8CAusq0UGGMMly9f5oc//CFPPfUUn/nMZ7As656tYm4OdkZL6UproG7ViJRmwlm58DftKhf8YOTCGhKqjF5254WntI0tVgb3M6+KMAJXWlzyixurm6qit9OAaa9OvKoLwGwScajW4lC1xc2ouIlm4hh77KNFKqc/9lm6Wca+yvLFPeVV6Y8FlgIhODK2u4qVpiI95pKM3Bj6maLlFMI5azs83awXFpKQHG+0eHsx5J1On4PD+R97PeRCglW1cGyJjjWqIZFBTta00N0UU5VkuaFSt4m1JssU/+nCIt98/cod3992MJxIePz4cV588UW+/OUv8/jjj6OUQmvNn/zJn3Dq1Clu3LhBGIb3f8NHgNZ60wXGyFkybTDGGVnmNjVs6uRGo/I6ad5kJjb4aYP5SCJUG6kbKBSeqDI/cI01rRaLWfHdte0GM3lM1xI4TDCXpAxjKRN2k5tR4WKbSxNqYorOWJfyKjZXU8XtLEUOLHiT2oRj68rFYGlTv4dxNuoiKwVmG9hKgcmyjHfeeYerV6/y8ssvc/To0dENd69mlzcGle7XgpCGvZygkJvi67wRJCsWfld6JFrRdFZaPFNunRthjLXqZ5iJAmb6K3dU3SxhT6XFpNMg1cVN0kkT9leW33Mp1VwLAw5WV8Zn5uOU2Xg5jhXkOVU9DIQKolxyI4ppO8vpuZd8n8dqDR6rNXlvyedKELBnLBZ2yfc50WjyWK3OJT/hQj8YWS7dLKPlOKNRZ5FSPNFo8nanEJbPTBTiNGtp0puDjLtpFxYTdMWCVKNyU4wI6WW4VZusk+BVJUmmabkC40kUmv/P+UX+x+9dWf0TbTu2bbNv3z6OHz+OZVmjlPa5uTnefPNN3njjDc6dOzdq2rkT2GwLxqDIKOpLwlwhcYraFQ3zSY6fOtzOusRK4KsYpWzm0pBuJvmg3ydIa4NmlAJPetweZGNWpMutaDl2Mhsb3EGNmCcdroXjcReHS/7K2rBYuxhRjGmuuk08Y3MlWfmcc51Z0nRrBpFttNDy4+Ai21GtYtbCtu0tCfL3+31+9KMfUavVOHny5B21D/cStpvheNaJBwxcWVFx0S5lGUfqzdFObNjc8kYY0HbkyOQHGz+POdhsMpcsBxrrxmI2zIrhMGPMxDHCrLxQbwQhDcem7VQ4PWg1OxsX3Y/TwXFaToV+boBlP9uChEOWR9Wr8N5S8XmmLY9umo6SbGJl6CTL3/28bXOoWh3d7Lk2dFMzEryh5dLLcm6EEc80GywsdrioBFVLsddzmEsyznR9nm3V+LAXUjlSI74V4uyvkiYK63qArjrkiyn2hIeuSOzUIFoexs+QFRsTaSoCEiFQFvzuhUW0Mfz3X358zd9ruxk2hBw2hczzfNTGZvUIggdpd79VbLbA5PIWuc6Ic4MSOQLoJcVcF20Eoe5Tl00WM5+m1WQ28anKCrMDV5cxLqd7fQ5WmmgEatg3TNujjsheIrhBSEVKDtUdjPZI9LKFKHC5EUd8ZqJBJ/OZclqc7i6XDXwU57RsrxjBPMbVfsIff+97TDSbozEE7Xb7odO4tdYYYz6xFswjF5gHdZFt5s1w69YtPvjgg3vOl7mbBZMqxexYncvFvs+RmoUUkqtJzHB1nosVQha+3qt+sSDHSnG01hpNwLwRJoP/j6jby8ITJoq+JXmyUmcmHsvptz0ybcHY4LJEKw45Tfr58rn284wnG0VPsbrtcLYfkGrDk80mN1YFPm/7yzfnzSjk6WaTS34fR0o6iSJLUoreHgJNkbpcsywmXY8PexF126ZhW/i5optlHK1VCbIcx5IEuSHRkAvo5zn7PJembdHPFVeCiMdqHtd7MTrTZDcjrP1VdKxwlUG0Kli9jLRqkzsGJ1FkDQfRy0jrDnmQ41qCfpRTtS1+9+Iifqz4F3/xyQe7CLaQ1deTbdvs2bOHPXv2YIwhDEMWFxdZWFjg4sWLuK47EpvJyclta9K56QKjF0mUKJxTukqQaxCCXt7DFXUs4dDNQjzhsZAESASpLvrqTdrDQl9BkltcD2OO1qtYwuHq4JqtYjNrFAiItUarFrfGNmZ73SYf9ot7cyHW1B2H872V7klPVgjUyg3rfq/FO1HI4c+9wFSSsri4yAcffIBSasXcm2q1uu7va+hm30gl/91qA3cTj1xg7sfwh9lIoGw14ynIw2aa9zruWjGYm1F/RXf+VBsadhOEZnwE8kwc83y7gRASzbIg3QhDmrak7Vb5cBATiVTOAbdGR/lYBuaFBcYwH2dIlschJ0pwOfA5UPHoZsvWSJgrYrXywr/k9zlUreJKh+u62CHeCmNqlk04uMGiXDDpVvHzZdG56Pvs8yrYRnI2KATzmWaTi4Mq/qUs49lmiw+7hWilacaxepUwj9DA9TDi0+0W14KUD/shQjo8Wa9yIYiYTVKO1avEgUKbYpTyQp6QHK6jM43opsi2i0k09FJUy0UuJOiWi6wI7Eih2g7ZYorddom6Ka2aQz8zuNrw3etdOr93mt/8yed2bP2AEIJ6vU69Xufo0aMopUbWzYULF4jjmImJiVFnga2s5t5MgcnMLCkJmbFRxsbPUhKToIykLtt0VQ+HOpqc3EgUprBiUp+aVRkUJwumnAZXwkJoFmIXzyo2TpaQBCnowflOOBXe7/o83Wown/q0bI/z/vJ9ditOeNJqkpnla7thu3zYj3m6WWXodahbDmcGlv/FKOT5Q0c4cODAaODXwsICc3NznD9/Hs/zRr/Lg24EhpvU9VpCvu/zxBNPrOs1O5EdLzDDHzHP84cSmCiKeOeddzDG8Oqrr943x/xultPNsHfHc2+ECfvW6BkU5AJHrryBI5VzpNZCrhoicy0IaDuGll3ho8E45KUs5elmi4/iLg3b4ZLvoxFI4TDu7lLaIsrVCjHSgBQ253rLmTahytlfaRCqPlNacCnPIfV5utnkykBAlCkW63NBNCpsO9f3eaJR52oY0LBtLvkxj9UbnBm0orkaRDzXanC277Ov4nG2F3GoVuFWnGCE4FoUc7RW4XoYczWI+NxEm4u9iLcXfVqeJF8IsdseomWTLMbYUxVELtH9FDHtkV3zEVWH2M+oVx0ybUhvRzSbLoGfUnMkiW2DMrw9G/J3/t/v89t/5Xmch9yQbIT11sGsbnc/bt1s9QiCTRUYbhLnLqmGUEXkGFxRIzOKQEfU5SSxyqnLSfp5QMtqMpP2sbCI8+K6a1gVbkQhIKhZDjNxRqoVTzZrYCyu6kJAXGmxlBpyA9eDjAnPpp/LFQXOhypNFlcl4WTaIdEx18OE6uhrrJDoQmDO+ctiNO7mPHbs2IqNwMWLF4miiFarNbJuWq3Wmt+lUgohxIYKLUsX2SZwvwt8ONL1YQKj8/PznDp1iv379/Pcc889kFANL4jVN+HMmHtsyGKaUpF3CszVIGSvd6eQ3Yoi7FWTLJUUOMqmt1p4wpCGbdFyamiGvcUCnmo0+SjuM+F4nPd9DIJnWk2ujwlgpgVH6y0uB8uPXQ58nmm2uLC0fDNdC0ImHJelLKUqBOf8hEPVKtcHlesGuB0lTDkulnD4KIpYTPs82ahzcbBrPNPz+exEmw+6Ab1csdT1ebpV51yvsHS6Wc5+z6XteHx/rsenJhrMxBk9pbGkRPVTrKaL3XDIOwkuAr+T4sQG60CdZC7G2lclUoZqbhFOSEyQQ9tFRBqTK8gMSgreXYj43/+H9/i//G+eZaq+KpC1w6nVatRqtW0ZQbBZApOaRVJiMtMg1TmW8BAGYiWZizVCVJhNekw5DW7GS7TsKkGest9r40rBzbiHIyz83BTzhYREaZtwMFainzrkZnlDVZEVZuNCFPp5zsHKSlfZHrfKB90AAzxed4qBeV6TU93Cw7CUKQ7XqjjC4p2l5QSBm1HRsLW+hojfb+4NMBKbqampUcPejQ4b+7jUwTxygbkfQogNZ5IZY7h06RKXLl3iueeeGw2qehCGF8XqDJCF5M7zqFo2c8mdO9dJt0Ks7ry4PGkNOi6vzGTpGUjzlW65WCmOVJtcC1YGJWeTFFsIqraHGbzPpb7PnopLN0uZdD3O9nykkByoVJgfy/NXRqKNWA7ma82UdMGAlRkSIbkcJzzbanChX1hAgVIcazQ4tVgIk6Fwh+2veMzECXs9jzPdiGnPpZdHGOCKHzKlcxaljUTQsFyu+sXf3l/y+cxEnfeWAmTLRS1E5H6KFxmS3JB7FvbRBirIEP0Me28Fu5cSezapB5UgJ246iLmIZMLDWsrIPAtyQ9USXPUTfvY/vMe3fvJZnj2wOTM1HpTNsgqGIwimpopmjHEcj5p0Xr16FcuyVlg39yoMXovNEpiIy8S5Q6RytNGkyuF65FOVdXIDfhbTsqvcjgMq0qWfaUKVU7cEV8I+j9eaOFJwfdA8tmXXuRYWG5e9bo1z/ZAJ16EiBVUluZYui8KhSoMfdPocqRVCUpEWtyONHlzcDbuKIyXvr4rFCONwKVhZrWyA836fFyYmuR8r594Yer0ei4uLfPTRR5w9e5ZarcbU1BSe520oUWDYKma3s+PTlGFj7WLSNOXtt9/mxo0bvPLKK+sSl+ExgRXCtpgknFrqM7Gq/X3bqXItjNlfWWnSVi2XC/6dVoxtLC72/DusmAoSW9+5SETaYK0q3uxmKQeqbc71ly2qzBhsUby+Il00gtwYciMGTWmg7TicWurjIlf0IbsVxRwwkltjl8TFfsD+wU7siUaDN+f7PN5Y/oyx1mTGcLDq0ctgMcu5HWXsrxQZeak2hELyZLVCnMMH3YCGY1O3imO83w34dLv4bvIgJ5lLiD0La7qCdgVqMUbWHayajerE5C0XGWYYZcirFvZ8RKXmoG6HuJ7ES3KkJcilAEvS1fC13z3Nfz07d8d3uhvZ7BEEmyEwoZrDiJheBsZY3AxyZpKElt2kr2KywbXby3IQEmFsQpWx32uOYi1hLjndjdnrNtjvtUbi0rY9bkUpGlhMM+zM5YZa3oDt9aqc6YfkRlC1iuvUlVW6Y2vF1TChn610nwF0M4tevnKzOOm4vNNZf82SEIJ2u83jjz/OSy+9xJe+9KVRTdTVq1dJ05Qf/ehHXLt27YFHe39cssgeucA8yAW+Xgum2+3yxhtvAHDy5ElardZ9XrH2ea12zV0Nit28JVa6w7QpFv/VY5L7g6Ku4VCkIbe6AZkQTFVXnldXwc08Z6+38sJKFehVjSkBEgVNe2V69fUw5InGBGfHYi+345hj9WIX37ArZBpmtOGQvSxmHoKbODxWXxbDbNDm5WClwvleYQGd6QU8MzZlL8hzapbHUlpYUYFSpBrag0LLhjbMJ3pUFXQzTNhb8fAGsanrYcIztot1oIF7pImlNCpIwbVw2y5qIUa7Elm1Sa/2cBVYQY5JDelkhcRPkQfqRFFOVHVwtSHUBscYwjCjp+Eb//NFfuuPtr61DGxfL7LhCIITJ07w8ssvc/LkSQ4dOkQQBLzzzjt873vf44MPPuD27dt3re/YDIEJzBVSLYmVy0dRhmN5eNJjNu1RFRVClWGMTaRzmlaNxSxm2q1xLSxGIx/0mlwKAhKtWUolvYEnoCILl1k8SLTZ41Y4GysmzOC6sh1uRvlIOD7sBRz22lwOVvYaq4rKIGa5zGPVBj9YDNnjLt/HEuhlNqeWfB4Wx3HYt28fzz77LM888wy1Wo09e/bQ6XT4wQ9+MBp+d7ffZphgsFnTLB8lO95FButrF3Pjxg3OnDnDE088wRNPPPFQN9DqTLKhwHzYCzhWdwgHjfQWB4vr5SDi0+0ac0mIJcSoAOySH/Jcq8ZsEuJow/xguNeFvs+hajH3vuW4XBq434LcFGIioGbZXPBDlIFnW8tpxhK4HMTUbAdMMt4gliArMmZ6+bIL7mzf57lWi7cXl8fGXklzplD4lsWhepN3l3xyU1g53UFDzE6aMV1vEebL9TFnuj6PN2tcD0Km3So/6vg8367zYW+QIppkHK1VOFCp8P6ij0oyDlY9mrYZpSg/2awhteG6n/BBlqBv9JFHmqiGC4sRyiRYDY9K1cK/0EUeqCMP1FH9jLxdwUoVMsgxe2s0uin+pEc90fgC6ragi6HZcOjnBtsY/uN7tzl9q8dv/vRnsK1Hvq/adIYjCA4dOoTWmn6/z8LCAtevX+f06dM0m82RK63VaiGlfGiBWcquI6yYTlwnyMGVLqFO0RomrUlibWjINjmaA26Fm7FP264wm8Ro4KDX4II/EJpKEc/TCJ5rNomUYi4rNjVtx2E2UWQIrqSG4w2PIBf4+fLifKTaYHZVt5fHqg1+2Il4prnscdjrevyoU9yXVctlmCxzsNLk+wvF470sH3WieFi01jiOw9GjRzl69Chaa7rdLgsLC1y7dm3024zX3gghShfZdvIgFoxSivfee49z587x4osvcuLEiYfena0+7lBgcgPNQYdjR0huRsu+3GHMZdqtjQoQAeYHFsCeanPUIyk3Bndg2rec5Y4At+OYw4Mux3u82miXdj1MRpMnD9caLKZFQeOxxrIl1LId3l/yqVreCotHG0OcS5yxdjUa0E6Fo7XaqNiyqHNxRi61JxpNftDp81y7ueJ1t6OUZ5otPhykeJ7uBnyqvXxDuEISZobhhv6jKGHCc6gOFndPyGIs8sBNYR9tkl0tArX2VBXtp5hrXWJL4jzWoJoqhGORtT24HaBcC6tuQScmaruwEJMpTSVRRL2YloYkV3haE3o2sRG8Mxfyv/u3P+Dy3J2JGpvJo06RftARBP1+f8MWl9aagJvkWrAQSzKlSXLBR4HBzxze7fZYSuGDfh8/k/yw4xPlDmHuMGHX2O8OE0QE+7wql4MQjcASgvkUhnvfmmUTZkWTVIAcgTBVbo9Niz1QqfBBN+Z0f3lm0aFKlbcH7q7z/Yi6ZeNJyUxc3L8Ac4PuFvu9Km8tLLvGzvQ27/pYHeQfWp5PPvkkL7/88ui3SZKEDz74gJ/7uZ/jL//lvzxK7nhYfuu3fovjx49TqVR45ZVXeOuttx7odf/xP/5HhBD81E/91EMdf9cIzL1iMGEY8uabb+L7PidPnhxlejws48WWxpiRbxjgXC/EEZJJt8aYjnDBL3b1lli5A5pDsN+rE+mVi8/Fvs+kW2U+Wfn5rocxrpDMjrW0CPKc6UGDy2Ds6ef7Ia1Bm5cpr0pu4EoQ8sSY8Byu1ni70+dQZWU8qJPl2HgrGgNeCyNONJscqFR4t1OI6nvdPk81l113h6oVLvspDXv55nlvyee5VoNjtSoXehHneiH70aNBZ9eDmENVj+cbdd6Z73OuFzGNGpnR3vE26ZUu1mwIjQpZywM/AUuSNh3chRBhCeShOvpGH72UIFOFOxtiJitkuUF7NmKyRq4NacXBdSyyXONZkihV3Agz/vb/4xT/6a3rfFK42wiCfr/P7du37zuCYC1msrNok+HnFpl2uBHl3IwzanaFa2GfA16L65HP4UqTS4FPy3bxM7gcRnQzyUwEk06VPW6Fm1FCborFaNqpcTmIeL8XcrTaROCwkC3fAxPYvNkJODro+D3puFwNFJkpGrs27QoTjsP5fj66pjWCabdC06oxl6yMz0w6LtcCgx67/k/3Ht5NNuR+9XvD32bYQPXrX/86L730Enme81M/9VOcOHGCX/iFX3hgYRjnd37nd/j617/ON77xDd5++20++9nP8hM/8RPMzs7e83VXrlzhH/2jf8SXv/zldR9zNY9cYB5kt3cvF9ns7Cyvv/46ExMTvPLKK6P0wM1g3EU2E8fEY+cQKs2eShMp7jSlFQ4LyZ2C6OdiNEtliAEwDjfCeNVzc/ZXW9yKVma6nOv3OV5vcXGsAj/VGle6VC2Lc73l9z/fD5ke+JnTQSHmWT/kwFhWy4lGg7cWezy1yt97tudTk+5otwdw0Q85VK2w13M5142YiVMmHWfUrh8Kl5qNHFlvt7B4qlFYU64QaAXdOMUemFe3jcUBVyKNRgcJ0rXQuUZ4FlbDw2q4ZDN9kAK1t4Y708eZTzCtClmkUFMV4j1VmlGGqDsoG6xeQtJ0aSQ5fVcyaQs6jsSrueSOTWjgX//pVf7Rf3wXpR5sQX1Qdvo8mPERBPv37+fQoUPrHkHQSzpEZhEpBbcjyc0oxhIOnrS5EfocrLS4GvXHxMUjyA19lXO4UgjI9TihnwmMcUl0MbV0n1fn0sCt7EnJtUAjxyzuSS24lBa/1/Uwo2U7LGUCfyzz8nKQkOYO4arfNc4tPuitvPeKcQBVZlfdq6c32YJ50CwyIQRf+MIX+If/8B8CcOHCBf71v/7XuK7LzZs3133sb37zm/z8z/88X/3qV3n++ef59re/Ta1W4zvf+c49z/fnfu7n+Bf/4l9sSqHnIxeYB2EtF5kxhvPnz3Pq1Cmef/55nn/++U0f/zp+3KF7bJyrQUo3vVNIrgURvejOm1Mj2efd6VfVSA5X73w8yGGPt1IwDZBrC7nqp7sShByutonGbqxUa4yxeKxW44I/1ixQC5pCYAPXgsLVcKYbcKS27KY70WhwainkSLUy9n6GSGkcYRMO/HZXgphj9RrCQMu28BPF+V7Aiebye531Ez472eCA53GuG3IlTDno2VQGgf4bqeYzEw0iP4G9dbK9dfKbPUxezIlxpmskVztwu0c0USNKEmTFwjrUwE00xk8Jmi61JCu+lQkPbvTJc02jnxL6KdUgRRiNClOMLQmM4M+udfnf/vZbvHu1c8d3/0nAGINt22uOILh9+/ZoBMH58+dZXFxEa43Wmo/y8xgMsYLboY0rXSxhkSvJwcoksTIcrbSZi9MV4nKkUufiIJ54qFLlRpzzo27Ifq/JAa/OhWAYG7HwhMuVMOGSn9G0bY5WG1zKlzcyoTLUZX2F5e9JidQujly56XuiVuNPbvvs81YmxDxZqzMb3LkhiHJFf437eiNspA5m2H17//79/KW/9Jf4zd/8Tf7KX/kr63qPNE354Q9/yFe+8pXRY1JKvvKVr4wSoNbi137t19i3bx9/62/9rXUd727siiD/aoFJ05RTp04RxzFf/OIXtyzbQko5smDWEphOmtOwKsBKMalkmlAJcFZdvMbiZpRhIVBjAZKFJGcp09hGkA/8SQK47MdF0dcg4A9gC8H7SxHHG00ujRVQWkJwoR8z5bosjmWm3IxiHktWXuCR0jRtyX5h+HBwI+XGMB/nNGwbV0re64Sk2tBJFW3HppsVz9vjecyFOVUpiAZWyoe9gB+bqLOUKC4PGmHeDGKO1StcDWIcYCHKsbLl87qeKI7XK9yOEh6vV/jRYohnW6T9CLtZxTnSxloMyeou2W0fMVVHdSOEYyEOtrD9hBxB1nCx4pzsVh8qDnk/pVL1yI80yRYisroDUmDHiq5l0RaCnjY0HYs8NcxHOX////k+f/m5vfyjv/zMpsRPHnUM5kFZHeQfjiAYjiHI83zUVeDMmf8/e38aI2ua5XWCv3df7DUzN9/363ff93sjMiIziyoogbpbIAahKZgeYEqjgoEu9bTyC2I+VDHqAQpU02KaZmC6gAYkGBhpJLoGNVVFJZVZmRmREXff3f26+/V9td3efZ0PZm5u5jdyicjIqsjqOlJIcc3N3vV5nv9zzvmf/3lFFEWYpxSMUkwmCggoZJmBG2eseS6TusVSs8WsYbFo24xoOlGSMawpDGkCr5otMgRmDJPXtk+cgSqK1EMAAUUQUEQREYUNrz1W7DjldC7P08ZRYXBOkhAzhYdVl6Iu4iUpsiBQkDQWmwGtSEbosPBnDJ1HZQ8QKMgq+53czZxp8N1dB1MWUfSjdKUuitRaGfMNl7sjn559etw+q1S/pmk/kmpDuVwmSRLGxsb6Ph8bG2N+fv4Tf/Ptb3+bf/pP/ymPHz/+zOc9br/vHswPS1M+zMHU63U++OADZFnmvffe+7FS+XqBrfIJ/dhHNJ01J3rrIYqCxGYiMmn05zu2vJBKEDLRQ0/Oywqrjk8tjCj1UI4nDZNqGLPh+n1J/BkzRytOeNlwGNeOvIQTuRw7fogoSN0EPcAQ8CJImTkWOnTSDPfYJq0exeRlFUOQCbotAWIMUUERBOZyBo/LLTZcnwnDoHfaRDFYPRPJS1LKfshwljKuyCw3PRa9hIsFozubVx2fy0WLlVZAkkFWzEGaEnbyPoEMQrmFPJRDNFWyiSLZTp0sTogtjVTMCN4coIUJ4mgO140QRnL4pkTe9mFQRxAEskaAm1PIxzENRcIUBVylXSvjahJeJvDvXx7wv/sfPmJp520poE9jX/QQWa/9oH4why0ILl68yPvvv8/c9VOIhfaGK4wylisJB7bHqusyquZYdhymDYtF22HayLHvR+wGEW4i8nHFYdrIc9K0mG95baKMLGOKKku2z5IdMKLmkFDY6oCLCMyZOb594HCmUxNiigJiprDhhrhJxpRuIgkwohgsNttz9CCIOWGajGkqC7WwG+bd7Hjro5rK84Og04E2Y6rHSx8SVbadkJefoR7mk+yzdrP8cWrQfZK1Wi3+wl/4C/zar/0aw8PDn9txf98B5oexQ8n+9fV17t27x9zcHDdu3Pixq84eAkySZryx33aZ9Y5e0ozZD3KO1AaKRng0QAZVjX2/naxcaLnkpPa1D2tGNxm57EWYncnQm9tZbByxYw5bXSRZhpuA1PltqxObXnd9TuWPwm1xJpAhsBemfdTLQUlmKRI4l+8PzUmCiHAsr7Tu+szlclTcuJsMXWq5nCu0f3shn+Np1eZJ1ebqwNGzsDssrpp7BM4vGh6XSzmELONi3uTDvSZ5WWJYa9+fUrKQNAW2KySCSDJeAiFD6lRii5MDpHWXYKNK5kTI04M4DZtMFBCn8uScEKIUp6gj1lxkPyKvybDZIkxAixPSOCWJUxQgChJkAZwwYdOJ+IV/8YS/++9e/kQBxWe1T0NTdkKPPWEHSRRJBQlLFzjwTcppghG1CTD5BJZshxnNYNl2iTOYNXK8aLikmYifiDxrhMwYJsOqSpiIXTCZ1DUWmxES7XGgigITusmzjpTL87rHIBlpLLHhHnnCL+oeM5rFy0Z/FCFKBPbsFK+nwnLHjThhGpRb9H1udpiZZ80cTw8656t9PnmYNE0/k9Dlj1pkOTw8jCRJ7O3t9X2+t7fH+Pj4W99fXl5mdXWVP/kn/ySyLCPLMv/yX/5Lfv3Xfx1ZllleXv5M1/GFAJgfRo+sVquxvLzM7du3mZub+z1B90MW2YbrMd/0mDL6X3rQ2Rot1hyEzoKUk+SuDP+q4zNrthfhgnJU1OUnaZfm3IyOciYJkMQCsiDwunW0g/LTFF3SKalq3+c7XsBcLs+EobPSIyXzvG5TSBKGJJGNTty6GcVYclsjqqQqvPbagLnYbCfuoR1+2/cintVsLhf6gSdLYczo94Je1G1uDeR5XT+6pieVFlc6dOXzps5KLOFlItO5o/t/VrW5M1TkWaU9ibfdkCRNGdPawObt1IgGCkTltjeR6SqxqeKv70HQ7kooFkwUSUSQRMSpQdS6TeqF+AUN3fVJVmpg6QSqRMsLYDpPIoGYgWepFEWRhiZhaBKOKqEYCr4s4mcZ/8t8mf/t/+ND7i+V+YNsPyzAJEnCY/slohgTk6FIIq1IxU4NdMEiVC1UwcRDZSgS2G86aBmYqcBCy0MXRSZ0g6cNl1ac4kQCuqBR7YRnT+VM1uyQWpjwrO5x3rIoSDrzzaMxXVQUAhd2w6P5oooCo7LGsd5hDGsKy+WAvuIw2uEvQpk9v/8HFTfmhKHz0dZRGPxV3SH9HDYZnzUH86N6MKqqcvv2bb7+9a93P0vTlK9//eu89957b33/woULPHv2jMePH3f/+1N/6k/xMz/zMzx+/JiZmZnPdB1fCID5fuY4Dmtra8RxzPvvv9/VZfq9sEMW2SFjqxr2v/CtDpDUU6HrxQxpeh/ld8tNEAWhD0gAXjbsTnFZP7NlNxOYyw20e2n02OuWw5CS6zs2tMHElPqTlykQyhrWMYmaFdvjXKHAoKoTd2RqwjTDjlIsWeJsPsdep2na87rNGav9+xlD51nV5kn1qBslgARs2iFnC/3neVa1uWZq3d2nm0HNj5k12yBzuWjxnd0G5wbMbkV/NYhxooRoaQd9bhxBU9BmRvBWdgAQFRkQsdcOSAZziDmNyNKJNypkWUY8mCc5aOIv7+MPWIgnBpBbHoIswWges+WRKSKhJSPt2TRaAfkgRghj1DAlixKEOCVOM4IoZcuJ+Nq/ecHX/qdHNJxPZlN9L/tJzcF8L/ug9pJECMkysTP+Et60JNa9iDAT2PNiqlFKJKi8jEVSLY+faMiZSClNiYOYJcdHAM4YOq8aPg+qLqfMHOesHE9rLkFnuE8aKvOVfnA4mdM5aMUsBSJzetvDyUkig6LCq5rHy6rbra8a0xSarZgDL2a8R+FcEwUGBIWV+tuhbidK2axGfUIZTpyyZn+69/5J9vvZLvlrX/sav/Zrv8a/+Bf/glevXvFX/+pfxXEcfv7nfx6Av/gX/yJ/42/8DaAtQ3TlypW+/wYGBsjn81y5cuWthow/rH2hAeaQyVIoFMjlcmifIIn/47TDENlyR+9rsekz0cmr5ESJcnhEPHjjRMiCQHas4+SuH3LCzLNifwI9GfUtjSSARpR1J8yhCcBKKyQv9w9WU5ZYa0ZdRtahiZKEd2xnB7DjhbjHwK4cRIzrBgs9nkiawYbtM6WrhHHK4S+eVltcLLQH/4WCxbrt87hic7V0BDwlSeBJ1eeCdeTx2HFCOYi4O5jnSaWjiFB3mcxp5GURCZjKGQgzo3irbbdeEASMUxN4b3bJNssokyMYp6ZQHY/Y9kAUUGaHUA4aBOsVpJlhlLkRlHKDLEmJhi30JEJsefhhClWbZLNOMpFHLulEokBrwCCTBVxDIZBEBF0h1mUiSSSTBe5tNflz//1H/L/+w8IPre/1k2I/DMB8+2ARN22RZhkJCZqUkGQiLxswomm8cTwGVBU/bodSz1ntFtp7UQqKSSXVGMnlMEWBUgpPG+3chylA1Q5peimHYHI+b7LZCDnwY7ab7bF+wTKZL3vdDVfZTRjWFJREYqWTc/GSjJOmzoSuUm7GVDuKGGudsJkqCgwJKos1n007ZFQ/ko4ZVGXqzYSS+rYG4OcRJvusOZjPo4r/537u5/jVX/1VfumXfokbN27w+PFjfuM3fqOb+F9fX2dnZ+dHPs/3sy8EwBwf5GmaMj8/z/Pnz7ly5UpXYuH32g5ZZMs9YSk7bD8yKejXECoHMdNmnl3/7VxNxc+QhbcfdTNMOXksfyNnGc9qDmPH9MhmcyZrTkBR7g9TTZsGW16IFfY/nyFV40XD5cKxHEtJUVhrBQwel0tJBU4cIyW4ScqgomJHR0CaAYsNh5sDeZ6Uj5g9Tyo2lwdy7bxGmBAg8KoZcEo9ercTksCD/Rbni0fkhDctnwFN4dJAjudVh0wUMebG8N7sQpoRuwGZpJAZBlFHbSAuWoiiQLB1gHxQIyzlUUcsjJaLIAokY0XUMCQ5aBDUXeIsQ5cyxLEC0kwJqdoijhP8oo7pBrhZhppl5MgQk7St6iwKtJyITBSohin/8uNt/uyvfofferT91nv8SbUfBDDf2V+hHFcRRREREVkQCWIFPxbwowJ7PpwyiwiZRElTGdMNnjbaXU7nDIMnNZdKmODEIoOiQbWj2TerKURhxpId8bzmMZWlzMkiTw6cbv2UHaXMqQYP952+TZguigxmCttu//xzgpRyM6LRs+nb92LOWgYjosZ87cgbGenQlfOKROjBvhsjfcJSuNn6ZA23T2OfpVHi59kL5hd/8RdZW1sjCAI++ugj3n333e7fvvGNb/DP//k//56//ef//J/z7/7dv/uRzv+FAJheC4KAe/fuUS6Xee+99xgfH//Mcv0/qkmSRBTHrDpHAPOy6ZNPUqzc2xTGdSemejwgDAiCxNQxpWVJEFhqeiw1fcyeAVjKUvwk41ndYbanKZrU4WzNN13O9OxuNjq7uPVUPGLaSBKvOruvFzWnW8sypCo8rzo4cUKWgtLZbY9qKs/KNk+rNld6ci9FReZZxUEXJcw+QMrYskNO9NS6ZLRDYyeElEoqdj9b8jMuFwxmVInXdkyQZizWXU7r7e8ItOseVpoBp3s0o4yT42TbZcKaizoxRFrIIRkawWanCjlKQJJx3I4Om64RFEyynQOEKEaOEjA04ihByun4g3kyL0C3XRjJo0uQrZVxwxjBVEj8iKap4MgCekGlrorkChqOIiKrMrEise/H/O3/3wL/h//+Q158n9qZPwghsm/ur7IZltuN8bIUWYpJsqwjEyTQiDKaYcrHVYcgEVioBTT9lGsFiySGhaaHIYmczxm8rLg8rbromcS1gsViI6TVmc6TukI1EPH9o/k9KEExE/jmZpOLxaM5MEPMUiXkVcXrhlYBLhVMHm+7TBj9EY6cLCJHIq+q/dGDmhdjSiJKJLLVAZE9px9MLhVy/Nbyj14f9WkKLQ/tD4qSMnzBAKZarfLBBx+g6zpf+tKXug/5kEX2e22SJLEfJX3FiwCiVqDxCXhnSjLT5tsDY9eNeVhxGNePJsCMaeAmbfHHIbVHwbin9fGul6CJIpoostA4ArmFhsegqjKpyOz1FIQtNn2GVZVZ0+iyZOIsox4kWLLEiKYSd0BlP0wYzDLIMgZkpfv5k0qL8/n29YxrGl6Ssum0+70cVuyfy+dZt312nIC5njDYrCzw0hO4OtD/DHb9mJJucPjIUgSWvJQTYswEMS+qLvUwZs0OuFpq/3aAhMLMOFMzIwx0AnSipqJNj+K8WgVNRRktocyMI7s+UbWjY6ZreHs1mp6PmNORZ4YR/IDkoE5m6ohpSrS+TwgIJ4bJdBXDDwmHLUQB5DCmlYHh+MRRjBolRFGCmGYESUqYwVLN57/6nx7xf/p/fpfFzQY/qfa9AOY3t1dYdffJyMgEAVkUcWOlk4NJqfg51ux2qGtCVXlSbXc6VTOJb221SCOB68UcQgJPq+1xe8rS8YKUx7s2M6aGKMCVYo61RsiOn7JoZ5y2dM7lVA6cjE2vPVoWDmwGJIFTusqCI5FkUA8SzuYNROBS3uTjLZs4zah7R5NyWFeQY4mPtuy3uspu2wFDgsKbnnzMejOkoLQ3cRcKJt9ebbHaDHCjH21j+/sZIvsi2BcGYFZXV3nw4AGnT5/m2rVrfRTk3y8PRhRFtuK3z7vQDAg/IXkiZCKPD5y+eG5Bkdlw2nUeSY9sv9xTRfKs5jBtmCiCwHbS29wsYtLIMZsz+2iVXpIS+zGe25+w9JMUMZPecu0rQcSEZvCi0l8supkI3Bwo8Lzn8wxYqrtcK+Z4Xj36fLnpcSJnMmNoPO18341Tdp2AQWKKksBuKJLSDpddGzgUAwUFkXsHLa6WrK4uGUC+MICVs7pPIkoznlYdzoghUSZTCxMOghhXlLg+3D7eSUVAPzuLmsRdUEnyOURDx361SmRZqBMjKOPDaPUGqeuTmjp5TSLbqeDIEsrsKJkmYzaaiJqEaxnolSbxTo3MUlFVEUFVcAoGngiJKmDrMqIq4WsyiSQSKBIvDjz+yj97yH/1jz9iabvDePsJzsFkWca/XV1g1a8giqCKGZLQbhseJClJljFmxHx9I+O8kaOARJLC5UKOAydioeExYaiYosS3NlqMqSojmsKFvMmriseuG9GKUoQELuRM7u/Z3fDXgCaTBbDRSujtdFxSZQpRyvNK/1hfrwec1HU+3u4Zo3WfE5bGiZxGrZmw2Qrx4owzhSNPe0CVMRMZIX176Zs0NU7nDT5eax8zzeBV9Uerh/n9TPJ/EewLATCvXr1idXWVu3fvMjs7+9au6hBgfq8nryiKrHlvx2HHdA0/fHvQHPgRQZqRl448ldEeqZfFht8Nb60f66ZX9tvFkNGxXM2zmkOSvP2aanGKZbxdZKpLEiXlbcZHlvKW3hhA1Uu4VOzfLQVpRstLu43DDm2+ZjMka335MDfJ8IV2Hxm7B4wfV2yul3KczedYa/ndz84PmCgCXC7leHhg87zuM1cwyCvtexwQUjYjBTOLMDueS5hmPD2w+fJ4ga0oA0EgNAzMoQHG0xjR80ndAOP8HEm9QVJrL/ZhqUjSaOIvb+BYOcSpYSRdxWrZkGW4hobaaBFvtplnwokRYjeEJMEt6ChpggakcYrs+IhpQhwnxHFMGCXEgJ9kPN93+YX/8T6/8A8+5NHKT45H0wswbhTxPy69YC9qPztZTMnICBKRhIyCCm6c8aahUfMEHpYdwlhgtx5RsWNOWQaXizk2GgELdQ9VFMgSgSzI2LHbc6ioSFwqmrzY93hV9hgzFATgailH1Y55sO9SkGQEQBHbnvByNeZxLWPWOhqL00rKftWn1XhbXWNIUnh9EFDv6TybdMoJxg2FyMtYqQdEn6BBp2QCz7e8Pv295+UfDWB+v3Mwv9/2hQCYmZkZ3n//fQYGBj7x75/UXfLHbVEUsbGxwcEneCqWLPOq5nGyZxAYksh6ZyF9VHaYNtq7pviYevJSM2TaNNg/RgbY9ULI3i4cLSgySzWPnNz/qk4VLJ5UXeZ69MMA3DDhScXmYo/ysSmJvKo6PCq3uNSTYxkSUl5UHZ5XHc7kj8J05ws5XtQc/ChlqMcbuzSQ54PdBheLFvSA/QnL5FXN44TVHwMPDvva9DzCFzWXK6U8680jgF1qeAhxzAkVBEmllcB2LKEqMjO6iJBlTIkxv7vVICcJnMq3F5soyygOFrgwOcjkZFtBWx4uIZcsgtUt/DdbyKPD6GdmSaoNpEaTTJJoaSpavUHOCwgGi8gnxkjDELPZIi0aiCLIlSZBzcEbMEnyGoal0jRUBF1G0mQiQyFJUxIxw48SAmC+4vN//fUV/vZvNvj1766/9S6/aHYIMPP1Bv/g9QtaaYAsishCShiLxAnImYgXZhSUmLl8wnJd5WTOIC/KPNy3SQFDlHi26+IFKSVN5moph5aK3N+1edMM8YKUO0MWtpfwaM8hAxpBwqAkc9JseyFeZ1Wfr3rcHc5TQOajLburVJ4lIJNxqWCwUAc7Fdn0RJRDCSUyTsrwjaUG8rEN6suyx7mCwV4tYqdTqfy66vctfmcLOus7Ht6x8oDnlc/OJEvTlCzLPpMH84chss/RCoXC9+VZH4bLfq8AxrbtriBckLw9OA7Dsrt20n2A47reJ/ltd/pzrdn9nkotiDGFt+nWsiDwpOwykPSTBKYNnbIfM0j/dRy4ESmwZ4cUOtTlSUNjsVN78rLqMN1Jep6yTNzOxHlRdZjLtUFJio/yNGuttpS+BJQ7DJ2y39ZNyysSliyy3JHPeFqxmZXa+ZtBVWah5mJHCTtOxOlC22Mb0RWW6h6PyjaXSznkzqMpqTILVQ8pE/qKL0NEMklj3DwaB7UwYcdP+PJEgfW4PQbKYcpqK+CMmnBWh4Way7OKSy2MuT3aDreNWxpz52cpzY5jee1rlodLpMUC3uIqUbVFMDyEVyqQuS6W3UI0NLwwRmg5OA2HeNBCmCyhhCE4Ho0kI5/GmElMKkGqikg5lUCSiHIqsQCuBKEosBeL/Op/eM2f/Nvf5Ff+P8+ptn70eoofh6Vpxr8v1/h/by4TkyAJCZIQIwKykKGICaO5CEPJWKlLHLgyj3cEFg48pg2Nm4M5Gm7Cgz0bERBSIADXT6kEMZokcH0oh+unfLjeYrxTBzWVUzmXN/hoy8EPMw5TJMO6zKWCyTeWm8THNnZCKjAaBdzbOVrwm1HGpcEcUzmVAjLPqylhCiNZ/5y7WNSJ3ZRGcAQedpgy1xmrFwcMXq7aLJV98kr/PHtR+ewezOF69VmS/H8IML+H9knti39cdlh7Mz4+TnFmjleO0KdVBEeMk/VWwOnOQJCF/oG53PS5WChQ/QTZ/h07YubYMecsAztKcQOBHmYv9Y6n89oOOd2hV86YOusd4KqFMQOSipBlDChH3kaYZjT8hAFF5k3jiEUTpRl7TsRZU2MjPrpmN06xO6rGOz0U0G0noCDJzJkGzZ6E50ogcLloMSDJXfDykpS1VsCFooEpyd3ahWdVhznLoCCLFGWFWhCz50Xs2wFTYoxIxpRpsNzweVp2uDFstXemGVwoWXxzq8nZAYMRo31/KQK6adJIBIal9jmCJOPBvs2tYZNBVWHbT3BFCceyOF3QmBAzTNdFPzuHMloi2d4js12kgoXrh8TlKlkWw0AeaXqUNMtQanXcSh1Jk5BNBTeIceR2zsYgw/MDNAnUNEVVZbIkA1UiygQ8Afa9gP/5+Q5/9v/+Hf6P/+A7/Pt761+YHM29gyr/JobF0EEgRRESxEzAjzJkMcGU215M1ZMZ0CAnQ81P8UKDUU3l2+stHu04XBvMcWMoRxoLfLztsNqMWKn5fGm4gJgIfLRlU/MTvDgjCFLuDlmsVAKeHrQX7vmKx42h9jEOGjEPdx3CJMPoyLcM6TKXCzovtmwOXOjN14sCCFHG+kHIRvNoYxZK7Q2UKsCJLOL+coPmJ4TT8rLE1QGTR8tNoo6r1BuKA9iyQ6qfVFD2Q9hhKPkPPZgvuAmC8GNP9GdZxuLiIs+ePePq1aucO3eOdT8hQyCLjka1KUls91AaX1cDNFGk9gn1L00fzGOhLVMSWa572F7a3dUDKB3vp47EiU4F/pCqsNwDDst2xKimYkn9obTFhsvlQp5X1f5JVPYjTujGW9fWCGPEWEQ/ttjZUUzZTbpsmkOLk4z9VoB67PthnCIL/Y0DgiRDQcI4tmtbbHicL+Zo9rDe/BQ2I5n3RovM9yRTHx3YTFk674zmeVJu39Ni3cONEq4PW9wcsXhSDdgJMsqJyI0hA02AMzrc23N4XnE5Z0kMaZ3umYqIK8ucPjHCVE5BEEXkqTEMRSRY2SCSVeSxYRgfJQ0CxL195HqDLG8hT43i+RFKGBIP5REUEaPexCk3SQoGXk4jU0RqXkBU0CHLkBUBTZaRdQ1BknCAV2WXv/3rC/yJ//br/Df/5CPuLRzw+2FPyjV++fFr/tXaOpncrg+SMxAzEUVKKKgiYSwSpTBupdT8hK2miC4JxInCvp2wWPO5MmQyaeh8a63FVj2ioMqcKmhcLZk0nYTfXq4zY+pIApwb0LlY0Hm96/Jkq9XdKFiKxK0hk+drLRpOQtDjtbyp+3x1LE+9HvK4k8ivRhLXhtpz41RBY0qS+OB1jbMD/Zu1N/WQ60MmpUzkda19zPVGitrDMBGA1A35aKnR1zBQ6wmviQLcyGnM7362BmSHFOVPS1v/Q4D5nO3TKip/3hZFEQ8ePGB3d7dbewOw2gGSZwcuJzq5jjFd65OUOPBjThg5Vj8hDGIHCbNaf45kJmcQZxlbbsCZjk6ZCLzpEet7WnWY1TXM0O87l5+kyKnIm8bbbnsQZ928T69ttAIuHEviTxgqDyouZpp0Y9jQzr0s1F3ystKX8xGimFUnYsRQu/Uwuiiw5YQ8qTicLx6FwCYMladlhydlhxtDR+c9VzD4YLuJGyZM9bQxuDqU4xubDS4Mmn3hiaIq86jscH346BhOnCICXpQxrHfCphk8rnjcHM2jGblumHLRTmiFCZe1kJWqSz2IeXrgsOdF3Bqz+NJEHnIm2qkZ1EGLYuCQVqptgkAhTzxUwitXUT0XaWyQWBaR6k38Sp3YUBFnR0BTEG2XZq2FZcmIYjt0FmQZriHTFARERSITJWRNI9NkHAS+u9niv/7Xj/nj/+3X+Wv/+AP+v995Q/wJbMXPy7Is439e2+NrH7/kH7xeoxzaKEKGlLUbfUlijCikxLFIECfk1YQ4FjlwFAZUAUlMceKUpbJKSRS5YGksVnxelF1GDYUhVQYvRs8EHu7YRElGXpUQkowbBYPFHYfnu+3QVt1LGJRE7g6bRHbE/bUmrSBhv+aRVyU0SeDOiEnOj3m0XOMYw5haK+JWyWB5o8Vapb35ino2LZIAd0ZMslbMRvVoTkUpXBhs5yUtWWAui/looY4p9m+a6k7bW5FFgUuaysPXNV7tfbY8zGepgYE/WCyyn4h+MPD9u1r+KNZqtXj48CGWZfHee++h9ISZ3vR4Ko7XHojaJ1Tk79oxliJT6xnoIvCm7uFEKZfHc91OlkJ2NGOelG1OljQUSWC+fOSpZMBWzaWovn0uTRKZ1Azq4TFvxY04cCPGLbVNGABO5g3myy7gc2s0z/N6+zcDssIqAbuJxJUBk9dNB00Sed3J36y2fM4UDeLUZ1iCFfew6Vo7x3LgB5wutFlgAM+rDhdKJhu2iyocdbN8uG9zYyTHRstn1w7JgGaUYAPXhk0aUcKLThL1VdVlxFAYNRR0WeLhvk1G25u5MpRjy/Y5WTC419lNmrLIzWGLx2WbG8MWH2y3q/wvlAy8OGXLDrgwlOPxvoMlC5zXUpa99oBvOR5LrYSrIznsMGG54SOXClyb0qg0PYKWS00QUKbG8Vs20v4BThChlQrIwyVCQGvZ2OUmejGHODOCAyiOh9tyyec0gihC1mSiKEHSJeoZFCSZMExQdYkkSWkK8OjA59HXV/j7v7PCmClzYSLPVy+O8VMXRzG0t+VLfliLk4Tf3Kjy4X6DNc8jFdJ2OE8UUIAkSzDVrK0k7QuoRkZBz4hjiT0bLCkipwqAiJhInByJ+NX/FLJvx5ws6lzOq0iCwHc2mux1Fnq1GfJT0wUafszLXZuHnU3T9ck8zysuF4ZMhCjl5VqDyxN5vB7JoijJuD2i8XTb5mFPgePt0SL39x0MWWBKCNnZjilN5/s2XvN7DrNjFrIAqR3wcLHCgKEgCfSpAAhxxumCRmPf4U0zRABOlQyeV46AaKXiYhUVxpOMpyv1zvE/uwfzacNjWZbhOM6PtQ3J76X9xADMjyNEtrOzw/Pnzzl58iSnT59+y5Na6fFKFqoed6dzuNHbMXRTklGQqHEEMFOmzkIHVBpOjCwIxFnGRs8xkywjCDMGcm+/Bk1WMGQNwn5vJY4znpVtbo1a3dauszmd151q5WLYrrp3kxStx0F9vN/iynCOfT/sY8Y8rzjcGskjCPBg/0j6ZanhMaNkeJ1mUIe23PS5PphjqdFfHT1fc3lvNN9VSO6e98DhS6N5nhwcHTsFXtc9LpZybPYkZA+8CEuW+lowH17j3ZF8H8PHjVMe7tt8eaLAVs9GYL7DuHtnPM98J0FrxxkLscC5AZ28mPK0ErbrdQ7a1/rOiEYiKDw8rMvQDAqKyLm8wloWcWCaqIJABmjNBs2DOtlgEeXkJAkgRhHB5j6pJKKNlLA1DSFJEZsusiTQsj2koklLkVFlgSTJEGWZLE5AbevRRWRsRSlbaw3+03oD8beWKOgKY0WN8YLBdEnnxJDBkKUxaCoYioQsCbhxRtWL2LZ9VhseW17AQZjQTGKQQZFAFDM0MUUTBYQsQSAjp2QkXkYkw4CekcRtoNGFlGEzQ0Wk3Ey4Np1yUBeoOSLncnkSx2F112aV9kboSyeKhGlGHCa83rX59ssDbs4WSTqbjFMlHSVJuTtg8NHaEYX7+XaL23MDlL2IIVnkxUaT3y27XJ4tUnePch6LuzZfmsjzcq3Ost9pX17x6KToACjpMqc1iW8uVrq/q3sRF2eLvOzkemRRQI0SNjebBD3jSD3mYeRVickg4tX+0TU826rjOA6maX6qcNdnARho05RN0/zBX/wJsC8EwPywIbLPC2DSNGVxcZHNzU2uX7/O6OjoW99xooTdY8m9SivB+YRrcKOUZwcOt6ZyLHV0y4o9vVc2WgHvThWoRhEr1f5Q2oYdMPoJDLpJy+DjnRa3x/K8bLZ3UHlF6uYqXlRcpgsaW17Q1+dl2w25WDJpJFEfkKTAYs3jxnCenVZ/rcZ81ebiwNsxX1kQ0HSDiuPRi6tumJKXJEQV6h3tp0FN5sGezYAmY8pSV5X5SinHt7abDEopo5rMfofJM5c3+O5ui9m8Rpql7LgReUWkGSS8rvmcHTCw4zYZ4NyAwf29drX2lSGTPTek7MfcGrH41lYTAbgxarHW9IiSjDFT5dtbzXa4Zcxiqe4xaqrs2CELYUJelbhWMliqOkzqIvcOfDICCgrM5hSCTCDJRO5XfBAUxvIKU6ZMq+GyYllohSIAgusR7h0gSQLq5AiZphEC1JvIYYSuazSjFHHYIhEFrCCkGaWYatuDSSUBVRCQRIhkCUEQUDufx1lKJcuo1DxetAKkHQFVltqJAUlAFDu5SUVEEECSAUlAlgUkqf1vUQApy9DEDCXLyOIMVQY1y0giEElJk3Z3VTEWULUMQ88IPYGx0QRNEKjZKbNDGb/+QODDxSo3pgqcKuokScpOzefjV2UujFtstAKCOEWXRQI/5qvjFgsHDm82W7zpjJtbcwM83G4xZCrMFTVquzayLPCoZ07sVV0MWSSvSczmVObXG/iGQqtHSma7EXB1rshSzePygMGLlRofH7gYptznFR1GYk8N6CQNn/svDjg/V2T+4GjTttXDEjs/aHCwXic3UQCO5v5WK+Zb371HwVAZGhpicHCQUqn0A/tRfZYaGOAPlAfzhcjB/DD2ecnFHPaqPtQ6+yRwAVhquBz3Vep+0if3cmjrnb4Ve42oK0vhhP1A9GinXdl83MYNlQ82m4wJ/Wcrd3Zxzw5spjv0zhOW0WW7BEmKHaQMqjKvjnkNr2oup0yT5FhSXhRgsewyYfZfx9liju/uNLkxeAQyIhnNVOFVzWXW1LvaT+cLBq9qLuutAAWR0U7CdlxXceOUbSfECRNOFXQGVInFavvaqolIM4KLJZNrQzmelNufr7cCqn7C1cEcE4bOXue+X9c9Gn7COyN5Npshcee+n1dcnCjlj0wWebjX9ooy4NG+jSgIXBvOdb3EIMm4v2dzsmBQUGRU8bA5W8KLssNMwUDRDc6W2rvFZgx+GLHaCPB9l0tFkYIqIIvQSuB1JFC0dG6OW5zLS4zpAsrcDOLsDJmuI7ZasL1DToLM0GnqGpmlIwUBgizRAFRVQCJFFFMSISNWBTxACGMQBRxNIpZFVElC0mXknIoqta8hSmKSLCLLEgRSJBlkIUUWUxQhRRYzpCxBFDKULEVKEpQsQ0kyBDFtf5alKCoQpug5gbwBQigwOpTRaMVAxlAhYWtfYKyU0WpJhJFAs6mghAmPXld4sVQjCVJ2GwFFXUbK4Nqwwc2RHLEd8Wq1wbdflpnpqYuaLGiIYcz74xbVPYeHi1XeHLj4XoLWyffJosB4TuPusEl5x+bB6ypOkPBkrcF04ShcmNckClk7JPdgoYIfpfhRysWR/rzFZtnl7rDJ6lKVjQ6o5I6JvO63QiYslTvDJkuvDqjbEcEnMD+Hz1zn/Pl2S+2lpSW+9a1v8ejRI9bW1rBt+xPZgZ8lBxNFEUEQ/IFJ8n8hPJgfxj4PD6bRaPDo0SOKxSI3b978vjuQ15+QSB81VOb3PExL7FJzxwyVNx0Ziy075L3pPK9aNm/q/Z5KmGb4fvZWXHhQFnkDVH3ImSJOkjKkSqx04tdhp6rekEQaXv/A33NDvjRW4ONmA3q8QFkQeLRrc61k8bR2FD8+kze5v9tiNGsnZithjCLAcq0d7rq32+K0FrOeKVwp5XnQWcAX6h7nBgz2/P4K6V03ZFCTuTOU47s9TJtGmODFPuf0jKc9r8yJU8puzLSl9oU43DhFREARwJJF7M6zFYC1ZsBkTqWpJOx0QmFnBgx+Z6POTF4jp0rMVz10SWBAlfnWVpOSJnN5WOfpvs3FoRxP9h3iLEMWBW6OWrhhTJDC054q7dm8ysmiwdMDhyCL2QwECFLO6AlBFCMLMuOGyK4XM2mpVBKRqqwzqgqMWTpOy6FsKDTz4ziSBEmCcFBGGhwgVSX8co2iLkMGma7R8kJkSUTJEiJdIpUV5DjBiFISVSaWQAhiVEMmEUDRJEJZRE7aIJGSkEYxqSIiiCKpKKFIGYgCstzu2KmbInKUkukg+ymSIaCrGaGTURqCoJqgFSR0JaNSFZibFFlai7lyQkRIYXUPNClmYQu2t+HSmIUgtHelnhPypbEcH63UedXJwUyUdIqGTNWJGMurJGHCH5kpsLjdYnerxS5QNGUGcwrVTjJ9v+Hz3plBnCBhaavJy6UqkigwMWyy3ZlDApATBYY0OFHM8epNjQ/3HM7OFmn2zIl6oz0PNUng6kiOxZUakdbvQWwdq2sZzimclgQ+eL7f853+8C/AQtnjzolJhobaBb2u61KtVqlUKrx58wZFURgcHOx6OIc548+iQwb8gfFg/lcDMFtbW7x8+ZJTp05x6tSpHxiWW/oEgFEFkaof895IgZet9kAY1hTecJRHeLhjc3PS4r7d6v+tKPDxdpNbk3me1Y8W492aDUg0Yrim6ix5LqOqzFZPPmfXDbk9kudRuf+Y0C60vDKQ51kPz//8gMmjXZuHey2ujOSYb7iIZKx3QGvfi5jKqeiknC3mebjfo+cUyNwds1g5lmNZrHu8N1bo6pAdWiOM2WnFnC8aLPT8ZlxKedQQuD2a40m1Xb1NBpYs8dGOzYWSQTmIqAYxZ4pGN/8xaipM5TUWqh5zBYNnHU9HkwRuj1rYYczLcvt46632c78+bKJKIh93QK4WxNzvxO7jFGQR4gTiNGOzFSAJAkVN4vpIjhdlB1kUKKgKv7PeQBLg0pCJKQsoosCHO537DTNEUs4ZMYFrM0BKpsj4iIiyxEosgW6iiAJnTZFy3cPLG1QPKqiagiGlhHmDVFZIohgjhmgwjy0IiLaHEEWEeZMsiCgmCYkoIBoiaRQhGwp+lpKLM2IJ5EwgzWltSnSUkKoi+CFhJmHKkKUipiaQeQmpnCI1QNIFcBN8X6CUB7uSUSoIhC6YloCSZewfCMwOKmyXM2YGUqpuxtyIwPOtjCcv60iSwNWTJR725FLunCmx3woZNBVkUSCJEvJpxvq2zX6HXnz1dIm9jrBkw425NpxjdkAni1JWtlp85+EuZ2cL2B2wSNKMAVViGzBViXMjJs2aixZGPN472rgdjwdsVD2+fLrEwkqNhy/aNPAs7vcs9uoB05MW282Am6MWr16VcY418as5IaNjFvv2UW5v/RgwmaaJaZpMT0+TJAmNRoNKpcLKygovXrygUCh0GxZ+mtbUrtvxtP6QRfb52Y+TppymKQsLC2xvb3Pjxg1GRkZ+qN8dfIIGmd3Zvd/bbHF2QmfbDciOScEESYYQvn0/J/IGTx2He1stzo0arDs+Ghl70dEO52nZ4ZyZUfPevs8khSsDVh84jRoqi1WPDLgzfgRcXqc3TJrBQsVjbkDHlCUe97BhtpyQcTFh75jSAEAYZUyZOhX/6PuaKPC87FJQFDQp6RaQXhm0uL9rIwntPMiTio1KRqXzDB7sO1waMtlyfc4W2gKH0E7GlzSZq4Mm23bU9er2O2y4n54p8mFHQPLwua41A0qaxJkBg5c9dTOC0JYluTlqsWUH7LsRl4dN7u3YxFlGQZW4OmJS8yOaYdsTOiwIn7JU5gp6VyA0yWC14TFXNJivOpwrGRQ1iVaQkJGx0O0rIjKpJKRCgu1l3BhSQZIpaDLPyw511QDV4PrMMGvNAL+ziIU7++SGB0hKBaQ0I9zZR5wYIlFkZMdHVgTcgoHshYQ1FyOnIUYxqqXgmQr5RkCUguTHiJZMGmRoqkiqauhJSmRJKDWPOK+hNGPknELiBySZiCYKyFKG74EhguuBJaSEmYilQKZlZElG3hRoOqBLItuVjNBRuH1SgwySIObLJwfYqXpUGwEPnuxz43SJp4uVrnrQibEchirhhe3wV+BGfOnkAL4fs1t2efrigDvnh7j/pt59h44dokgCUZJhaRJKlvGV2SL35ss86XiaJ4f7WXUvNhqMj+QI45RTJZ3lN3WCmk+1R+x1cauJbsj4PbmZubyGakc8etJubLe5/zYNeSKvsm+3mWa3R3M8f7oHf/zMW9+D9to0ODjI4OAgZ8+exfM8qtUqGxsbeJ7Hd77znT7vppepetwcx8EwjM+Uu/ki2hcCYKANMt+vyvmzAEwQBDx+/Jg4jnnvvfd+aGZGmmW8KftvhbO2OjvmOMuQOsWXx/tIABw4MVdLFs96wlOH9SNxmlGuuciqwFze4LHb7ymUA1Czt4X49uyQtabP1dEci832hJsyVTY7O8NHezYXR0ycOOkrWgySlH07YsZ6OxYsZxmBG6AJIkHnPhWhXZNT8WPujls87ngsF0s57u3aVP2YUVNhwlTb5+qEE5IMHuzZnNFiVFXlRfPoHl5WXC4NmtSPxbZrQcxMqjJtaTT8dq8YgNNFnW+uNxg0ZE4PqLyouO3wmSIy32HLXRk2qfsx4zm1S11+uNeWZv/qZIGVRtBtQdAME940fBRBYCKnUdRkXtc8CqqELIh8a7MNZNN5lZm8SpzAvQ4QLtY8ZgsafpziRjEn1IRiTidv6Lysuu0GV3FGIQjIiR5POxuGgiJyeSRHI0w4N6KgSQKqKHBgitTqDk6tRcN2KRRziI6DlKZEqkyYKeRaLpGlI04PkFVtRE0iaPmoYYQ/bCKXXRRVIZZB1ySCRoRhSaRphm6HSEUVxYkRh1Wo+pgTGlI1QBpREOsxWkkidRIUBeIYBC+hKWQUEgFXzkibEUOjMqmdoA8LfPPfNxD8HMu7Nn4nt3jjzCCrro0sCqzvOXzpzCB1L0KXJYQsY9RU2K56bJVdXjcDRks6bpRi+zEC8Oh1lZOTFm/220w7U5H48rjFTtljabPJs32X2dFcnyjlm3LE7ITFesVDEgXOj1kM5xQ+eHnAw622d7+82UQShS6LLYxTro7meLrVYrakU0SgstZgtSfRX22FTExa7DSONlsyMGgqjMYpjx7toikicZIiH2/U9wlmGAZTU1P4vk8URYyNjVGpVFhbW+t6N0NDQwwNDZHP5/s22LZtk8vlfmJ6Cv0g+4lK8n+aEFm9XueDDz5A0zTefffdT0X7W2/6vCp7bVHHjg1pCtWeivjnBy5XByw2W/0egAi8qXk82bEZ6WnNuu8csVL2AziXzyHy9i6lJIPn9SsATOY03jR80gyWqz7jejuHsd4zIZIsY7XmM6G/TSQoqjLr9ZBhvX/n1IpFtkKRSdNAl9oD+mLJotK5z3u7NjeGLPKKyKueEMG+G9HwEy4UzL5ulwCOoIGkk1P6h1aSZryp+dwaOXqmV4ZMHu073N9tMWQonCpoWIpII4iJs4x9N+LZgcPVIZOboxbLPXmt52WXIV0hSdtyIoc2aio83HPYboVcH84xV9ApaRKKILBlhzzas1motHNKV4dzNHtAz49S1psh9/ZsRk2FO+MWX5qwCOKUfTfCjjLWQwld1/hwt0UjTBg3Fb4yVeDSWIGJUp6zBZkpDYbEkI93m8xXXbZaHvUg5rt7NstBxujkELkTY5hnZsmGS+Q0EZuU0PWwAo8sS5DCiGTngHSigGeqSEmIJIPa8GDEwPN81CghHNHQScgkUMjIwoyoFiKpImIlRB9SCTY81FGVaCfAGFNw93zMEYnWQUhuWEKMYGhMpl6PKA1JSIJIzhLJkgxFFRFaKpEbcXbY5OK4xXReZWuzyY1Ji8wNqR84fPfBDkaS8ejlAQ9flbn34oCxvNZNtO3XfE4MmyiSwOyIydWZAmOazMUhA9GOWF6q8cGDXeoNn7QDDuv7Dtdmi933IwowXdC4NZknHya8ennAw2f7yD3VmE035uJkf/7CEASuD5lsLNZ4sVhlecvGUPvn3nihn7yjxCns2rzueFlBlLLxKZWVD3MwpVKJM2fO8M477/DlL3+ZyclJHMfh8ePHfPvb3+bFixfs7OxQqVQ+1yLLf/gP/yFzc3Pous67777Lxx9//D2/+2u/9mt89atfpVQqUSqV+Nmf/dnv+/0f1n5iAObT5GA2Nze5d+8ec3NzXL9+/QfSCY/bYifp/XTLQe+wu0aNtxfuZivGOCYFM2Pp2FGKE2WYtKXHC6r8VtL/wY5NEL7tqXgR7PkJk6reVSzu7SFuRwlRBBcGzG7S+9D8OGG91k6891peltl3I0gESmr7bxNiwkFHyHOh5jGha+QkoU/lGNogc62Uxz7GisvJEvd2bK4O9gO3pbYr+XOS1GURXR/O8bLiEqYZ93ZbXB40mcyprPUA5GYrYLURcGvEoub308MFBB7uOtwetTisPZ22VOYrHvd3bVpBwu3RPNNW2/tohglxlvFo32HHDjhdNBkylC6cm3I7FPOtjSY1P+ZCyeCdCYtBQ2GrE3ffdyPcKOXxvsOBGzGqpNwa1vnp2QL7XtQ91oip8GDP5qOdFo8OXCJBIpIV1iKZDIGTpoicJVRsj0EFbg2q1MKINGuLO54smTQLBfTxYc7MjRGMDBKpCq3tPay8htSwUaMQ4cQwSRojZAlJlGDkVbIkQd9vkc5Y4EdkpkhWkMipEGsCmi7gOSlmSSIsJ+RHVeztmOK4ys6Sx+isRmUroDgu4lQTZk+reK2UsSkJp5EwMCayt51gSDJ7ZZeltQaOHeL5MeWaz+OFKtdPlZBEAVOXWdtu8aULQ5yasLg0WySJEn7q4jA3TxS5MJajuudwdTTHxmqDpy/LfPx0n5wsEXVIHVGcMnpsoQ/cmJuzRS4MqOhOyHc/3mZnu0WjEwZz/JiLU8e6y8YpkihwbarAOUvl6cNdFpZq3UxLkmacHu1fxNNOCG2iqHHZ0njy8Ta20z8OF7fezoF+P/ukJL+maUxOTnLlyhW+8pWvcPXqVQzDYHV1lUuXLvFX/spf6Yrt/iis2X/7b/8tX/va1/jlX/5lHj58yPXr1/kTf+JPsL+//4nf/8Y3vsGf//N/nt/5nd/hww8/ZGZmhj/+x/84W1tbn/ka4AsEMD/IJfxhQmRpmvLixQsWFha4desWJ0+e/Eyu5utOiKkeJAx3dlMybx9HEiRO5vrlWQbUo8X9+YHLlZLFqMRblOcTeYOFA4+hnmrtnCKx1omYPT1wuDbQnjhbxxb9TTsgJ8hv+T/nB3Is1z2UTOp6EHlF4kUnHLBlhxAm6GToej8wLNR8LpXyOFH/My6qEt/ZanJ1KNennTagtkUuH+07nFYTyNo1KocNmnackF075PZIjpVj4Pr0wGFCV9+iS18eMvn6WoOSpnKxA1yTOYVXZRcvTvl4xyavKG06bEKXyecnGQ93WxQUmSlLZdRsP1ORNuPs450WT/cdBnSZd8ctLg/lut5QmrXZeFvNkNdVj9NFnbvjed4Zt3hT9/CTdpvgSiKSShLf3Gyy3gwQRYGvTBUQBYHLwya3Ri3ujlnkFQlFhIIqcXnQoBwLlGORRioylZNYaIb4QUgujZhQU0wx4/aIxbvjeVTLwFREbpwaIX9pjrRUwCKhVa2T7VURhyyikolSbxBLgAyBAtFmHbUgkyUpsheQTRioVZ+4ICPbAXEiIEYxfi1BSGOaBzGWKhG4CVIiIABeLUaSBcpbAbIqUN4JUXWRZ49cHj7c5eyISVD32XhTRw8ThlQBwY94/GSPq5MWbs2nuu/y0b0dchm8elXm6fMDPry/Q6Pms7BSZ7fs8nypxvTI0dh7vFhhtrPYDxc04jDhK+cGuTJhUQIWX5UR3ZjF1RZ+2G7/MFnqn3P1nvF1aiyHlqRMCgLPn+yxtNogDBPOTvbTfo93uSzXfe6MW1QWq8wvVojilOmh/vO83v7RAabXRFFkYGCAU6dO8d577/Hw4UN++qd/mizL+FN/6k8xOjrKz/3cz7Gzs/Opzgvw3/13/x2/8Au/wM///M9z6dIl/vE//seYpsk/+2f/7BO//6/+1b/ir/21v8aNGze4cOEC/+Sf/BPSNOXrX//6pz533z3+SL/+PbQfFCLzfZ+PP/6YRqPB+++/36UTfhZbrB25wi9qMKpKb9W1ANhhwnfXW5zt6RveWyUM8GCzReC+TXscUGUaQYKWiXSiU5wq6H05n493mtweKrBxrEOlIgrc226+VRwZdBgza02fYUVDEwVOF0z8njj2bpAxZ5lsHtudCVnGUtVjWFMp9IQPThV0vA6QzOUNLFnkVEHn6cFRYnTBFbk2nKPi9h/TT1KiBObyel8P9cuDJh9ut3h+4HJz2MKQBIZ0maVOAn3bDnl+4HJjOEdJVbpAAm3PIoozVEHgytDRc785ZvG87HJ/16bqxtwctfjyVIFnPbH2ihsRxBn3tlucKWrcGbOYtlQGtLbnktHuitgMYp7sO6Rpxgkt486oyZcnC2w0jxayq8M5Pthu8uTA4f6u3S62rTi8qLrsOBFzBZ3XzaCrKH13wuJFK8HLIGdoxLLMSztlvu5TbjT4eN9ms+VzYySHLAqcLxpcGLZwBotMnZ9haryI6QYkuxXEEyOIQkYahAiDFlIWkTZ9MtdDKKlkWy3EKYPMjRHyElJeRhJBGJVRpAx5UEHXM7xQoFAQ2NtIKBRElud9CnmRZiUhnxcJgxS/nHJ5LkcURLx/bYxzs0UURWKsZDJc1JElgSfzFW5fOJpvr9fqnBhvj80kSQnDmPFBg+kRk7lxi+mSwa3TJW6dKnFlKk9JgnyaUdlusTBfYWO9ycvXVeqdcb+5ayP1jJ+XKzUKnU2EqojossiXT5cYAd7MV3j09ICRfP/mRT0GKDudcVEwZO7MFGitN9l+UyfpmYCDuf5jfFqA+bSFllNTU7z77rtcv36dvb09fuM3foPLly9TKpU+1XkPa/1+9md/tvuZKIr87M/+bLcNyQ8y13WJoojBwcFPde7j9oVJ8v8g+34hslqtxuPHjxkaGuLy5cs/MgOjF2DaUiCw6b3Ntlqrt8Uod2shhiLiJSmrx3brQQqinEcR/W6RJBwVUr6uebw7med5w+H47aUZBGHKhKn2SehfKJk83LG5v9viS1MFHldaDOtKX8HlQtXl2kiOzebb150hUpIVRNotbAFm1ZTlTnho0pQY1Nr9z3s7+s1XXU4UtE8kIZAKkAp913oir/Nwt900aragIUmw74bs2kdAdH/XZiKncqao8a1jE1jMBJYqLnfHLJ4c2IQp3B61eLBz9L2zJYOJvMLvbh59FmcZYpbxrfUGp0s6A7rMi7LL1WGLe53fLtV8ZMHn3JBJlGTcHbMo+xGCILDZCrrKvuuBQAmB3+0QAQZ1mWujOdwo4daoRZimyKJA2Yu6G4WrIznma163OPTuuMWD/TbTbsJUKBkKWSYzWxCxVImqFzLoBQzJKR919N0uWiJBKnNzyKKVJLyxM05PW0yLQ/hugC1LuBMl7MUNBmeHyWQRqW6T+CmaLhAduMSOz8DpEummjXzSIt5xEQsyYjPES1IUUyAKMiRLQDEyDEljbCxjazPl9KzC2nLMo49shgoKbzbr7bF3Js/rlfY1npjJ43SKHJ893eP2uSEWVhsQpkQNjyFFpNII2H7T4PK5QV50tL2WgJuXRng4X+6+s5uXRnjUkXpZ37G5fmGYJ0tVAA7qPhfmcsxvehRzClNDJiMlje19hzfrTRYqHjcvDlOuHc0999hmZ2WziSjQVU6WBYH3TxR59HSfh+vtd3t6tshezzH6ZJaBxc/gwXzaQstDmRhJknjnnXd45513PtXvAcrlMkmSMDY21vf52NgY8/PzP9Qx/vpf/+tMTk72gdRnsZ8ogDkeIsuyjI2NDRYWFjh37twntlv+tObHabcy/9B2WgmnBk1q/tECPpFTWSl3CixbIe/PtqVglsv9vx0zFR5sO7x/osCTDqusoErd4kaAj7Zb3J3Ks/AJzY026gFRklFQpG4/ll6y3Xe3mtydzCMJsNXo93SiOCOfgZClZMJhyEzk+YFDkGScLOqIxDSiBDQTvI4H4SYMSCnTBryI+yeIkqYs13xOWAprXhto8qrIfMWjFSZYisSVwRzPqw6KIHTn6HozQJMEvjqZ5+vr/YWh46bMt9Yb3By3WG0G1MKEswM6D3dbJBnc224xllM4NdAGrF7z4oR7Wz4n8ypFXebZgcvcgM6zjoe13Fkw7o5bpGnGxUGT+apDhsC1MavveGM5BU0UGBMjtLyMK6iMmEqXWg3tJPN3thpdT/NsqU1xPvQSrw7n2GgGmJKIqAhcGDSYr7rICBQUiQS6FOuboxYf7LYXtzvjefa8gKuWgpbFvHZCnDQkizz2M5kLOZWIjOVWwPUhC6tgIApQvTKLGyXkak2iiSLRVoVUU0hNleJQgcZag5EJE78ekCYRVt7AObAZPDuAt9IgmjBQWhEHrkBOiajutHMhYSDhxlDbsyHQ+dK1EZq2TxonXDqp03RiPMfnxITJ0oZNFKY8my8zM1lgZaOJ40RcOD1ArRmQZfBiscqNKyM8nm+DyNP5MrPjFuud5/96tUYhp9B0IlRFxHNDzs8UMDUJMQO75TAsZZR3bZq7NrsFjUYQdz2O+ZUauip1WW6L600GS3qXstx0Ii6fHUIRBZpVj+WlKmPqMEFPZOL4trTWOLYOVD2abtT1nn6QfZZCyy+CVP+v/Mqv8G/+zb/hG9/4Brqu/+AffB/7wgDMDwKG4yGyJEl4+fIlBwcH3L59+0d25Q5tue4e37gwrIosbznkixKtziI/Yqis9BRYfnejyR87VWKZ/kE5kdNYLwd8sNbk7lyel1WHE3md/eaxhTJIKakyTnQEEtOWxkpH6fXCkIkbe2iyyIuDft7+o50WN4bfHpRxEPKqFnFlSGPRCckQOF00uNcpHnzT8JktaJwoaDw8JkkeizI7Xsa0mrHZg1tN28NOJEI75cZYjsdlh7NFs3tMO0p4uu/wR2eLfGO9X/NszFT45mqdC4MGtShl140oahJvOiDwaNemoErcGc2x0wr7woUVN8IUBCZNhbwu8/TARRVBEgS8OO2SKE4P6IzrMmVHJOyMl5NFjWf7ThcEhgyZG2MW260IWYA4a1OgZTLWWxEggpdyd1LhWdnlzIBOUZMxZJFWGDNqquy7IVN5jT036h73zIDOStPvinLeGbP4aLe967VkkQFDYq0VkFdErg7l8JKMm8MWpiryqt6mPJc0hSetdv3FOyN57CgitQOc0GMnlZiSMxqez0aYcGPIRJF0tJzIGxUsUcCaGaYqgr5XpepkWIpIHMY4dZ+p0wNUlmuMnyq0+9RrArqlEFQ88qfyZFtNmrqCJWWsr/rUtjPevT2K7cSsbdQo5HVeLbaVjq9dGuHZywr7Ww5z0xoHtQRTVcAPuXm2RJRkSKLIV66N4Xhxuxw/zvjS5eE2uSUDRRYY0ItEUUoYJgyXdF4s1bCrPq+rPreujvLw0V53DJw/ZVGptwdjrRlw9eIwT19XO/Mn4fqpEk+WOkrMGcyNWWiKx8SAjtsK0LyQhwvt7wtAFPV74ge1/lD2xp6DaqmEccrJ0RyqF/Fmo8H188PHp9on2u8XwAwPDyNJEnt7e32f7+3tdVuRfC/71V/9VX7lV36F3/7t3+batWs/0nXAFwhgfpD1hsg8z+Px48cAvP/++z8yyvbaYvVtL0Ilo+JGvDNm8jxq/13M+gExzeBgr4EmZAQ9f0t6KokXd1xGBhTI3gZTTRAouwk5EZzOuB8z1S7AzFdcbk/kUVX4+Bib5VTB4Ol2i3MjJoudavqCBIu1EBB4Xgm4NW7xou70Mbeg7VlMGQpjhsxeT4HnhQGTjzuCkVdHcjyruUxLMWtee8KEScaDbZv3Ji0eHitUU0R4vtvilKXiZBnbnXxPThSI04z5clvQ8M6YRZplfV5EM0wQkgwNuDho8KpT93Jz1OJ+T+HlmZLBTEHjG+v1rjckZBmmLPLBRgNVErg5kiNKMyp+3JeHGs+p/M5anTRrEyuuDOroJCxWPQ7TkjfG2gWkGe1w2qSlYEcpzc6Od8SUkRAoaTITOZUhXSZKM4qaDAIUFIlWnHBtONeuT1FFtp0QRRQ4WTT5sCPDcyKvsdhqX9+kqaDLIhcHcqRZxqNaW93g1nCOlAzRjxDElI0wYTwLqdQTdhA5nZM5mcuRk0UWWk3GNRVpbgwpDBj0Q5qigJS02H9TQZdFRFmkslhl+mKJoBWijRkkcUKWZuSHdNSKgzyS4/E3d7j/eIfTc0OsrO2jqhI3r04TBimilHLnxiiVWkC54nH6RJFnr2qUDwLGRlzKjbTtXQhw7tQgiyvthf/UiSKr260uFfnm1VGeLbS9mjdrAjOTeZzOeHn9poahy3gd2ny1HiIIRx68Y/d77K4bMTduMZhTSMKEuO6xu1xjt/P3yWPMsdWtZt/xNvccrKLWVRRI04zrMwXiVsizJ3sIwPJG8wsPMKqqcvv2bb7+9a/zp//0nwboJux/8Rd/8Xv+7u/9vb/H3/pbf4vf/M3f5M6dOz/SNRzaTxzAVCoVnjx5wujoKBcvXvzcK14Xa28n5A/pxB+/aXDrTJH5ukvFfbvAcr0acGY0zwvnaBFf64npNoKEyVRj7VieBmCz5rPTCjhVkPHISBH6pCoAHuy0+Jnpwlu/zUkifpyyUfE4WdJ40woYlVKqPcy3h7s2f2SmwO9uN+mV35/KqXy00WDQUDhhqazZIboksNCRaAmSjCe7NhcKEEgmHMtF7R3UGEOipUjUOmHvG8M57m012XciTEXk1kiuLY/fE8P24hTHj0mTjBN5jbVOPdGZAZ2HO62uF3ltzEKV4OFOs++8hizyjdU6MwWNEUvlyb7NzfE89zvnCJOMx7s2V0ZzkGTcHbfYcyOiNGOjGXSP70QJSRjy3VoECAwaEpeGc0QZXBwy2LJD0o7UxyG46JJAUZO7enF5RcSNky7F+VRR51XV7eZx7oxb3d45p4s6C7W2OMmkqTBpaQynajvcI2Y8KtvkFJGiLjOkKZywdFYdj2oYc3PYYtsPuFLUKUcK20HEOTUj9H2WvZCiClOKQl6RWPVczuVy7CsSFhmFE4NUBYl86FNZa5ISk6YZ9q5D/sIAzk6LgakckRMRBymGJODue7ScOo2mzJffmcbxYirVFlkmsPKihqqITE8WKddquH6D29enaDkRqiwxOSHQaIUEQYzvOQwPqjTtmJW1Breuj/Gwo/31arHCUEmnUvPJ0gy9h2DSsqO2F/Oqnas5qIbcuDRMpeFjGQqqLPLlSyM0mgG1qsfKiwPGRnM8mj/aJI6Mmhx01Jq39h3GJyx2O8XBthszN1tgdedogzM7muPVeoOLM0VwI4SKx/OFSnfGLG/0j8PvZ59FTdlxnM8lGvO1r32Nv/SX/hJ37tzhnXfe4e///b+P4zj8/M//PAB/8S/+Raampvg7f+fvAPB3/+7f5Zd+6Zf41//6XzM3N8fubhuWLcv6kQDvCwMwPyhEdpgse/DgARcuXGBmZubHUu261ngbYMrOUWhuZ9+jYEm8qfcvtAUZKi2obLR452yJxxWHyZzKm4N+MPHClBlTbdeldGwmr7G2354UK82YSyWJlqqyfEzav6hKfHulxu3pIg867ZFVERY6ITM7TNguO4zmRJqZBvQD1EEz5MaAybOGx6FjNWkobNc8Kl5EkKScHzSwFIl7W0cTKQMk2aAkCKgiHJbvTFsq642UJIO8nDCjZVQTkee7R791o5RXezbXRnKUNJlap7BRFsAJYjYaAbIocHcyz3zVIUmyvhDlwoHNWE7lxojFthOw60QUNIntDiBtNAM2mgHXRnOIKQwbCuVOq4A7k0eAs+uEKCJcHraQLY1GELFU8zhTkHlWO3oXSZqxWPW670cU4PqYhROn3By1UEQBUxWpejFnBwzcKGayoLFS98irYrsTqABFra3ePJvXcZI2OCiiQExKkqnsuiFFQ+Wjjidza8ziadWmpMpcHjLZdUPWbZ+cKlINYyZ0GVGAVhgj5jQO/IiLRZNqGFBL4HpBw48iKn5INQkoZdAMPNw0ZSqOqKsyE4ZOYcAkyfkMqwmtckh+UCNNMloNj+EZi8Z2i+ETefZWm6yu7vD+3VladsTz+TVGhgq8XNylmDe4fnkcEFFUGVkeYmOrwf0n60yMFljbbIdGb16dYuF1GxxOn8iz23SQJHj5fJ0zkwUcP0VVZYaHDIZzctsTjSO+fGWE/bJHkqTUdlqcHNTZ37dx/YTmrs3mxtFG5fqVEV70kAUmR8wuQwxgZszqAowATA6bXYABGMxrXYCZGc0xYigcJPDqfpsafONKv7TUykZ/2Pf72WdJ8n9eOZif+7mf4+DggF/6pV9id3eXGzdu8Bu/8RvdxP/6+nrftf2jf/SPCMOQP/tn/2zfcX75l3+Zv/k3/+Znvo4vDMB8P0uSpMt+uHHjxveU2P88zK76fWyTnCRQaR2FV3aaIT81WuJbjf4w1cmBHI9rdQCerTaYmsgxaii8OZaTGTVk7q3UuHtmkAedXe2YobDW852XtYQ/elJlvdoPYmeLOg+aAffX69ycLfC46nJxwORRT8jMTQTOaGZXK+zQJnMK8wdtkcgrYxYLto8ui7zoEbq0w4T1ssOVkbcHeBgmvKh4nB40aKQZB37MsC6z1b5lWjE4icCXxw2+vevQ6yWdyyt8vNGkqMvcHLV4tG9zYyzP/Q6IxWnG/c0m708X8OKU1Szrhr2uj+W5t9XsAtGtcQtNEviw555VEWpexEYjQBLg6qiFqQh92muHx7rf40XNmJCGEbdGLCpBwkYzYCqv87KHbHF7It+VooE23bg3t/TORDuUBiCJAuM5laVOZ9AzAzr39lvEaYYowIUhg8XO3+6M5XlUtpEFuDGSAwGmTY2SLvPhXvu53Bq1aEQxl4o5UiHlSc1mWFNw4oQZQ0cVBWpRzLAq00phM0y4WbJIU2gFAdU0xIgTmpJIBBTI2HJDZnMGkpAQDCnklIAcOXIdma0UECWR2obN+KjF8toO4yNFNnZ2yISQr37pBI4b47geewctylWHqYkB0jQgl9Mwchl3bo4ShhmO6zE7XWB9s8nyWoubVyd4/GwP24lpNl129jvU8JUq588M8brDMpuaCNjbP6rov3VjjNWOwOabtQZnTpVYWm3/+9VCBSundIsi1zb7PYz6sWiB21OcbOoymgC35wbYXm+w9eIA04sp9zAn68c2kiubP5wHk2XZZw6RfV5Kyr/4i7/4PUNi3/jGN/r+vbq6+rmc87h94QHGdV0eP37cRdsfJ8Oi6Ud89LrK3asjPOhQfkd1iSb9lEfPjjidk1ju8Wx6uzB6UYrgJkSfoCDgduLJj97UODtdaPc9cd8uIN0ue9wYNHhcPdpteR3QyICnmy0uT+aJj6nFQrvJlGOHnChorHVYNFOmyk4nXPd8z+bCiEnRVPlos39Hdn7Q5N5anbP5lNdRuw7g4qDBfGeXt1z1GDRk3h3Lce9YLmjEUPjups2ZkoGdpuw4EQOKwEInj9TwYx5tNbk1brLXOga8OYWHW038OOVkyUBTJfwk5VEPJTlOM+I45clmi+vjeew4Zbnuc60HrJIMFssOI4aCKQhcHc3RiGIMWeoDF1lo92nfCARw2+/6vakCjSDh7phFnGUostBX73NhsK36fGg3RnM86AHoW6NW998FVcSOki5V+c64xfOKw6ylMWqqkGWczOu4ccJCw8OJUwY1GTuJMSWBs0WTZpSw2gq4MiizZHsMqQpzls6jmt2uo0p8LuTb6gbzrRYDikSaibxq2VzISWRugmUYVNMAHdj2fAJRIHFtDgSRaUMnEdsFq5oOg0qewhmZII0oCgaiFLNX3me/XOan3z+D7UYsrW4D8Ga9zOm5MW5eHUeSZU7ODvLgySa7+00unB1lcfmANM2YGi9iWRkDBZMwcrl7qw0+QZAwNVXi6YsyQZhwUG4giW1R162dFjevjPPkRdszmV+sYOgiXqejpdbTSjyMUi7PDXTVk8tVn3NnBllcrQOwstFkZMQkjFJGB3VMReTOqQEOdm02Npo82rdJBKHLRlvfbCKKQhfcNnZtJFXs/v2g5tNyQvK5t5U9ei1N29f6aQHmD1I3S/gCAcwnhbsqlQqPHz9mfHycixcv8p/+03/63Nsm99rrzmLyYrHK6LTFvheRk96+rmbT5qAZURyx2mKHQO1YMeRK2eX9Y5XqqiSw3DlHnGSUyx5zgzqvjyXJLSnj9UFbRv7iZIFXDZ9BTe6GwqC92O7XPCzxmISLIvJq38GPU1La+YBNO2Cx3H+OxQOHa8Ptuo5ejbX9WtvLWWqJ3Jo0eFb34BiIVb2Y0Iu5M5rj/p5N1nl3kzmVvYbP64rbzr2MWZDBw2P1A/V6iz1P4FJJYaGVkGQC46bCfqdm502t3RL3vekiUka36j6vimzWfZIMnnSA5/3ZIm6cdNlg0PZgDgHn/laTIUMhr6XcHrPw4pjFisuZvMx8j2d6cdjko+1m13MdzSm4SUYQJgwbCtMFDUkUuDnS7okiiZDSbnCWZm1AcZOs7Y2QUegoHYybKpYqsdLyCJKMPSckzFL23Aihc96DRoQqwqVBg0aY8rrp4mYpb1o+hiwQZQkX8zn8JOVhh+p+rqBzEMasOj6KmDCgyMzlDF42WxQlAdvxKEsKo5qMHyZMGTnW3AaqCIGk4icRntekmUqMahIZIk6UgRhhShr/9Z/7zzH+9wpv1vf5j998xn/85hNEMWZh+Q1zM2N89UunsZ2QMAp4+mSZOEl55+ZJqjUXwxD56rsnWduss75V48aVaR4+bUuOnJ4bYnWj3iY+aDKFvEmYBIiSxfUrJao1F8ioNw44c1JDlhQkSUYQI/xQQpYVoijm6oUhwihpd/Uk4+q5QSRRQBDAMhWMMwMEfoxjB4wWVB482qWx3n63Vy6PstGpfQnDlDOnSyx1PKQgTJg9McBaZ8wmccqJ6TxrPXma5Y0mNy58/0T/ZwUY27b/wPSCgS8QwPRalmWsrq6ytLTExYsXmZ6eBj6/rpbfy5Y6C7gbJJxOBfbpZ4EdWs2NaAYZV2WJZ2GCLom8OVbDMl3Q+HDhgDvnR7jf2dWeHjCY7/EYKk7IuUGdHUnA6znPpAKvs3aiemvPZm44x4ghc/8YL79ExGol5uyYxevO4nx+QO8qyzb8mCzz+NJUgW+t9XsqV0ZyPNlqMW6pzFgqG3bInAGrjSPAerTd4p2pfLeW5NDmihpPt1tkwOUxi00/Iq/KPNnpz72UmwFFVWLEVDjo5DROlnTelNstBl5WYoa1jBEt5emx+pZbEwU+6ISiroy3cyAlXeZhD5NMkwTW6j5bzaCtvDzUZls92OoPY4znVV7sO90i2PNFCVHWuDsu0whian7EvhN1wUUSBQqGwl7Heyx7EaOWysvORkAWBWYH9G6Sf8xUWEvTLoX97rjF73auwVJEcrrUzQtdHM7xpGxD1g6vJQicK5joisAHnXzMjWGLl02HWVNjylK5X2nXA50tGRiiwIVCjid1hyjLuD2YI0xTyn7Mit2+vmIUsCMrDCgy1TAgQyFK2/PmZK7IG6eOJorkcgPsOjaKnOE7KVHWRCkIZL4EUQyywsnZUf7yX/hj/OW/8MewHY9vfTTPb3/zGU9frrO+VaZSs3n/nQuIyHh+yPBQjg/vL7Tf4dVZ0syhWq/xU++dwHYiag2f29enuPdoEz+IOT1ncFCx2fRqVGotDF2j1gkjXr88xqMX7VyIrokIgoTfaZlx+/o0z54d8sPgwplRFpfbFGTTkElSkbBDQ9aO6QUqxzaNhWNV/4NFrQswAKW89qkB5nAj/FlyMH9QesHAFxBg4jjm+fPn1Ot17t69y8DAQPdvn0dXy+9nSz0ewrM3dW5dGWG31r/zNyQot9or0bPVOncujWAnGa+OxWrHcypbwNOlMudOlFiseeTltwdb6CWc1VSexz5pJ28R90ij2GGC0fCJpLep2G6QEqSwXXY5N5JjseH39S4HaAYJjbrPxZLBqx6GXNyZfLt2SD5KmNFBSN4GU99PIEg4XzJY6Px+QJO7OaMXezbDpsKJQYWNav9vi4rE8x2bnCpxe8zi4W4LVRD6dNlqoYAmaZy1MppRzF4gkJNgfv9ogj/ftbkwbBKGCZdGTF52krhXx49CY1UvxtttUlQVzpQMirrMctXj1JDBg57FwlIEDkKBauPovd6YzNMKEuYKGgjtJlfPesbC3WN5mJvjVlfOXxRgyJS7z2Y2r/G8Z7NxdtDgRbVN+JixNFIyzhVNvDjhecXDS1IsRcTQOoWwsoAqCUzrGm6U8rDSpipfKZnIooCYioRkRFmGJbULWV81PW6WTJZbAcNJQk3XSNOUE6ZGOYzw45hdP2LSKOAnbaCZ0A1WnHYOSNc1VoOUK0WDKI5wnIjvfOc7mKbJ8PAww8PDDAwMYOUM/rM/epP/7I/eJMsyXr3e4re+8ZTf/t2nCGLK/ScLyLLIT33pCnGcEYQZI8N55pe22Ng+oJjPsbPXYGVV4saVOTIEVEXg3dvTrK7X2S/bXDgz2gWYlbUaeUulZYf4QcrFs0Xml9qbjmcvtzENFbdDKdb1I0/B9WKuXR7nWYd99nqlSqlgUu9swjaPhXadY7JJWdpfH9MLR0VLpXwsGvBJdpjg/zREpCzLPtcczBfBvjAAIwgCruvy8OFDFEXhvffeQ9P6lVV/LwEGYGujSXBMdv5EyWSheRQOe7ZY4e7Ft5uYpZ26izjJqO7bDBV0KseaewlZxmrZpepG3J4b4H7dQxNh0+lf6OMkpXLgMmzIlDsTalAV2Oz0XHGjlK0Dh7vTBe4dS0JO5zWebbdQJIEb00Uel12m8xrzPWG5VpCQF0VKAyZv7KPPp/IqLzqU4aYfc3emyK4X8Wynf4LmVInvLlW5M1Pk6YFDmGacGzR43lmUnTDh4UaDL88NsHFMuubmRJ4HHWaOJMDNCYssjXl8cPQ9iYyWH7LdOvSCDCYKGg93++/18mie+5tNdg8lb/IqfphwdUhls+FTi0VODeX6vKVbk/mjOpwanB0yeLzbXtQtReTSSA4/Srg9mkMUBAxFxE0zbo22a3hKukQjTDqhswxTkRg1FZJO2Gy5GZAmUHdjwjTttkK4OpJjq9PU7sKgQZBmTBgamixwvwOu10Zz1BohFws57Chh3QmYNFUWWw5zps6QJvOk0QaJiuOQT1OsgkXNdzFFkUoYs+cHXC3myNBZdVyKSowhyqQdoJ8xTSqdTYlPiJ2q3Jmd4eLFEtVqlYODA549e0aapgwNDXUBR1VVLp2b5tK5af6bv/yfU6vb/M53XvBb33zKvYfLxEnC5k6VE9PDXDo3hJXLoWsa9YaL50dUak1WNyokScrQYI4gSEizlN2Dfd69PU4YpqQp5HM6Lxcr1Js+W7sumioRhAlhlHJ6zmBhqf2snr/aI2dqOB1POe2Ru8gymDtR5PGzNjX6oOIyPVNk67DgeK2OLIvdjd3e/tEGQZYFhDTl5pkB6gctll/v8ui+DH/+Kt/PPgtFGf4wB/Njs1arxYcffsjk5CTnz5//RNfys3a1/GHt9TGAyckiucCnxpE0RF7pHzRBnJI2fCxV6pO03+zZxVbtkEsFjeVjXs7JAYM3nUH+YLXOO6cGsZOIV07/PZ4uGdx/U2M8r2BJYKcip0s57jfr3e+4UYoUpn3FiQATpswWECUZz9br3DkxgCCKbFX6732iYPJgtcHdE0UeHNikCIwbKttZ+1hxmnF/rc5PnypRtwPsnlYDRVViLYMH6w1mBnRkTUI8JlcmkrFWcdltBtyZLjJfdREFgcWeJHmSgR3EbFR97kzmWWsGHLgRF0oyL6tHu8y1mouQpuiZwNVxix0nxFRFHhwD1wFD4UVXoUDg/RMFgjjj+pjFRsNHlkQWeiiruiTgxmlXQeCwD8xaJxSWU0RMXelSmE8U297KYSL/3ck83+54VEVVQpHFLi37/LDJ43L7Xm+MWOz7IdeHchiyxPOajROnzOa1bh7q3ICOhMCQrCIJAuud2qoJS2U4UVhuudTj9licFjIacUYLiSIpJUVlRNNYddvXoggizxs25wsG1cAmE1TKgdv5m8xG4DKhG+QkkeXAYdrMoygKY2NjjI2NkWUZzWaTcrnMxsYGL1++pFAodMEmn89TGrD4M//Fu/yZ/+JdkiTl0bM3/NY3n/Ifv/kUWRH41kfPAHj/nfNUqy6DJY2ZqdM8erZJperw7u1TfPxwlTfrB2iaxMJSGww0VSZnaiRZgKIOcPniOI4TocgKsixx8ZyK4wS0nJCRkszSavvdvFo46AMc/1gLiNEhowswYZhy6UIJ24uwTAVFypgYUdnfa7K+UebxvRpRT5fa1fU6P8g+C4MMPl8W2RfBvjAAY1kW165d+74tjT9t07FPYw0v4uBYYaMc+bzeDTg7K/A6bD+qOHr7/K/WG5wey/M0TMhoLwK7x8BKSTIu5XUe1dxuiGhYV3jT8517K1Xen3t7cB0yz3ZbEdNFDUmTKB8XscwyVssONTfi2nSBp2UXWYDlnt1YmsGLzQbXJwrtbV3HfbdUkZcdr+T+WoNLExbNJOX59rFchqXyrdcVRiyNiZLB65rHiYG2h3RoG3Wfy6M5TFVElQTCzmp9Y7LAw46n8mC9TslQuDmd5xsrVbpBiCxDyNpdOB90qvHfnxlgq+UDR6B7Ni+w2MkL3d9oIAtwbSLPrQmLpapHI0i4OZnnUc91FXWJl3sO9c6zFIDbMwXiNEOWBOwwYcBU+G5P+OTmRL4rjglwbsTqssgkUUCUxC64nCzqPO4ByzODBo87Y+DCoIEdJdwcthAygbLfbmWwZ4ecGTS6isuWKhJnCpOmhp3EPCnbbRVgKUMErg7kWGp6tDrHmm86TJHiAi0EZk2NLINGmDGitcfptG4w33JIyZCFjAE1T5TGOGnCsGpQCdvjaFCTWW655CSFQbVfpl4QBIrFIsVikdOnTxMEAeVymXK5zOrqKpIkdcFmaGgIWZa5c+M0d26c5v/yf/7fsLNX4z995wW/+TtP+N0PXzIzOcS3PnqGLIvMTI5gmhpxHPDenTk2tuvMv97l5tUTPH6+QRDGnJwtsLDssbldJQhDajWXuBMhuH5pildLbWabJA8SRDaGrqJqEqNDJnUlRlUVmq0yp0/phEFMnGaEYZOi5WM7Pi3Hh0Rl/uVR75OrFydZedNmpsVxytR4id2O17+zZ+N6EabxvTXJPksNTBiGRFH0hwDz4zBRFL8vuMCPN0R23HsBEDsL39qmz4mzw6w1fHbr/YWYEwWN3R2b+kqVdy6P8tGezWReewtgVATuL1e5e3GYjzuLVPOY4qtAxsJ6i1O5jJUOoOVVkYXdo0VusxFwbcJi7RgYnhs2WezsyF6uN7h1YoCYjGfHKo8vjlh8tFJjrgA7mUKQwIWhHPc7tE6Alzs2XzkxgNLpQnlo0wWN3brPbiug7ITcnS0SJOlbvW6CKOHFdovJokYxp7FSc1k/JsGjKyK/u1hhuqhTzCk823e4MVngcU+CPkwyXD9i68Dl+mQBJ0mpeBHbXkpb57ptc2bCw473Iglwa9LCt1vk5YxW3H6HJ0smj3vA4ubUUf4G4PyQyUerdfKqxKilMlnQ8dOMu+N54ixDlwXKQczJokacZMwOGKw1fU4UNCQyxi2Vot7unGmpInaccraoU/djWuFRlf/dCYvNTqj0xqjFs5qDIQlcHbJoRgm7TtTeeHRo3FeGckRZhpiJxAK0ogRJADuKGUxTPEHg8C7GdJXndQdZhE3PZVw3MWWZ3cBDFwUyRF7bNtcHcsShRJCIeGl7PEepgJMknM8fdZD8XqZpGlNTU0xNTZGmKfV6nYODA5aWlnj27BmlUqkLOLlcjomxEv/ln/kK/+Wf+QpBGHHv8TK/8fXH/NY3nyKKAitrB6xu7HPu9ATLa7uUijmS1OX29UkOyk02t1uMDufZL7c4KNvcvj7Dgycb7bEWHm081jaqnD01xvJqhZYDI0MWm7tH5JZTswVW1ttzRFEkZEnuil06bv+GzTD6l8bhIbMLMO1zNbh47nsn+j9rDQz8eEsxfq/tCwMwP4z9OENky5+QuBMkFfCJUxDqPiM55S3gGLc0dmkP2vsv97l6YaRN5j9mux0G0/1XZe5eGmG+4rJ0jJ58eijH8laThgdXTxV4VnYZkxOWjq3gqiBQTEHW5W5Mvzd0l2TweLXOHzn9tuTEfrW9yK424dSwQjPL2Kr2g6YqCbzYauBFKbenCzzYtRnQZZ73eARxmrFX9zBEkamC1m2Kdnk0x4vO97YbAduNgJ85O9i3uAOMdupy1mse1DyujFuIWf+Nnhs2edLxKJ50wOCrp0rYUcLLjiL0mKWw4Qq0SwTb916vN3njtLcHpwcNZgYNtlthl8o8aMgs9QCeIoITt73PVpjg1X1ihG5ozJAF8obSbXs9XVD5eKvRbb9wd7LABx2A0ySB4ZzCbkdK6J2JfLc25kRB41ml/f8DStvDu1A0WW64bDoBO26IJEAzjiGD80WTepDwxvYZNRQWW+3xcq2YY6Hp4CNyY8ig2XK5UMjzrO4QpikXiyZhmrBih5zItcfHrGky3xFYdZKAnGyiCgJeCCVFY81p/23aeFuK6PuZKIoMDg4yODjI+fPncV236928fv0aXdcZGRlheHiYUqmEpip85Z0LfOWdC/zf/safY2Vtj29++Ir/5bcf8Z2PF3n31mm++2CJjx8tcunMKAsr+4iiwMULl5mcMJElhSwTkCWROEmZX9pjbnqItc02w6SYPyLDzC/tMThgUa2337WVy0FnrkZRwsxEntXN9r9X1sp99S/uMSkoVe33RlbX6587wNh2+1r+MAfzYzJBEMiy4/vhI/uxejD7bwPMds/Cu75n8+Uro3z7+DX1XG6WwdqbGtPHeoIPGTKbPbH+R/Nlvnp5lG80+hMhg5rEMp1iwdU6MyURAYXe3TrAfiNgo+oxUdQZNRVqfsTisar1kqHw7Vdl7swN8GCvSYbAqJ6x1Tq64JWyy63pPM1jrZuvjFk8WqsD8HC1zs3ZIooq8XGPl9O+L5XHGw00WeTOTJEHO82uXPqhmYrIo9U6cZpxdzLPw50Wc4NmFzAOTVck7q/WuTBmQUcLLYr7r+vMsMm3V2pkQF6TuDKRR5MFPmge7VKnTXjjtBeDDFivutQdj2oAuixybshgrKBz4EVstwKqfsyNiUKfNM7NqQL3esD08lie+z0AaeoKUQdsRk2FZz35thvjFvc7dONRU+FF528lTeJEQWPEVCi7EWOWwscdz/TWqMXTDlvx2nCbohrHbXrtYr39+XRepRoISAlsNlv4SJRUiT0/YNowSbOMsMN+UkSRVw2XCUOlGnqMagZR1obgUU3FkhWe1h2uDxhIgoAiakSx33l+P1p4xjRNZmdnmZ2dJY5jqtUq5XKZFy9eEMcxg4ODXe9G13VOnRjj1Ikxfv7P/TS24/OdjxeYm7nPb33jCWvbdYoFk0bT5Tsfv2RsuMj2Xls08+71duHnUKnIQCGHLIusb9V49XoHTZUJwrid3J8d7ALMynoFSToqqiwUDA4Bx/NjZiaLbO20n/fGdr3vvoKgP9rwZr32fZ/DZ9Uhy+Vynzq09kW2LxTA/CCTZZkoin7wFz+lxXHM6uZu32cjOZXyfv+iHbVCbk/k+xpe1Vr9rrUmCjT2bEqGQq1T+zBbNKhWjkJNaZrh1j0ujuZ41QNsvXmVMMlotjKKIyr0KAnMFDU2OnmVnYbPSKpxZ7rAhyv9A/70oMH9us+DNzUujpu8bvkM6yr7xwpCoyBlfbfF7RMDPOiE2CrH7ml+u8V0QeP0oMFyB3TH8yrPO4tyEKc8eFPj/VOl7q7/0K6MWdzrANP9N3WmBnQmTIXlnu8UDZlXnWc63wHKnzozSM2LEcjIOqHKjKPW060gwQ8THqy1mB7QGcnJbNRsYqEfkK9PFXjQ8YL8OMVxHL7Ro1V1ZSyHFyTcmWgvrEmaUnUjCqpIM0w5XdJ51BOivNXjkQCM5TX2O9Ii03mFXSfgQsnEkEQKusSBF7HrhExZGt/qPK8RQ+FFtf3edVlgww2YNjWGNJldN2LXDVFFgVhs321JESEV2GyFjIgJdaU9bc8WDN7YAYuux/lim3F53jJ5XLNJsoxRXaYV6ez4MZbc9mTGdI2XjRYCGbXQY1jNd1vzaKLEuP75hWdkWWZ0dJTR0VGyLMO2bcrlMtvb28zPz2NZVhdsisUiVk7nS7fmUKnytV/4GdxQ4YN7C/y7/3Cf+09WmJka7AJMy3FZWNoFNtA1GUWRcb2QE9OjXDg9ieun+EFK2tMcz3ZCLpwdY/51O7dSO0a6GShoXYBpNH1Gh/NUOjpmewf9a8Gbzgbse9lnycHYtk0ul/uxaCz+ftlPFMBIkoTvv61E/KPYITX69WKT6ekSmx05+7G89hbAhEHCq9cVTp8bYrnioski68dCa9MDBk9XqpyeUvAUET9KEY83mAE29l2afsTZmSKvyy7DpsKbcn+eYm7IYnGjweXpAi86fxvPqWxy9L2DVsBJW+dMyWCpp85lv0eD6dWuy6lBlVbYP3DH8iovO9XrD1dq3J4bIASeH2NjXR63eLBab4tSzg3wYLvJdEHr7/5H27Par3jcnR3gyV4LTRa7EjOHVtBkvrNQ4fyYRSYLLJZdzgyZPOjR99JlgVdbLcpOyGRRZ6KkI4gi93qEBiWhTcwA2Kz7bNbh6phOIxS4O5Wj7se4cdJHSVZEgVBU6AVs2/NZs48WoUtjFssdANIkAV0UmDQUVEkgr8mEUcKlAZ0sg+GcwqYdMqaKOGFCUT30WEIuDhk86rDGZFHo04Y7UVR5UokY1RXOl0zW7YDVhs/gmNUNrV0dzvG66XKlmEORBR4dhtYsjVaQcMEyed30qUcxM6bGlutzxmpTpZMsQyAjTBN2/IRpU+UgCDEliXoYE2cwY+jk5YznDZurA+2k/qncMOKPaXETBIF8Pk8+n+fkyZOEYUilUqFcLvPo0SMEQaBQKFCr1Th58iSnTp0C4MqFGf7yX/hZqrU2DfrE9Aj/8ZvPmF/a5vK5GV4ubuEHMTevnuTD+69ZWdvFNGSez292z31ydgxV0RgcyDNY0tHUMWwnolJ1GSqZVDodbAWx3+MoFZU+gLFMs9s64IcBmP+1y8TAFwxgfpgQ2eeZgzmUohkYGuOgWeFEI0CTRYI4xZDfnmj7NY8wSrG3W5QGdEYsldfH+qscapItbzW5emaQZ3XvrRzHZEFjp+O57G+1ODlhMahJVI59TyIjiFKWN5pcnS3y7MBh79j5cqrI07U6oihwZbrA8wOHUyWdN7v9wFc0dTb2Hc4MGix1zjNb0NnvCd09XK3z5ZOlvpyKQMZOB6ziNOP+So3r04W3WGwXxizmO2Gl+29qTBR1zo3n+OZSf/XlYdjrMKT37qkBqsfi3VcnCtzvTODthk/VCRixNO5M5Kn4MW9qHjenC9zvAaWiLrJSi3DCpJ3XAW5OFxjWFWRZZN8OGCto3O9hiV0dN3m2f3T/p/ICL3o8yivj/e2Zb08Xu7kkRRJoRAk7neT9lTGrGyoTBYh6xvGtsbZcvyzAxUETAYEJXaPqRzwq29hRgiwK7HbqYnSx3dKXVOBF1SGntcfUsCqSiDL/f/b+PFqy86rvhz9nqHme7zwP3bdvj7dbLRkPMggbLNmSwJg4LBsMBJyFCUYJxPDDsN43EF4vworjYGJCQvzmDYOxDYYYFkaWkWVZLan7Dn3neZ5qvFW35vG8f1TdqnOqNbamlvBeS0t9bp3hOadOPd9n7/3d3+2WJQqKQrxY80pMMhbZws2jFN226k+622xkJ1MiVSpjkQTigoheMHFQ68rqNsjs164XL2bw6E1IPD8r6tU2vV5Pa2srra2tVCoVdnd3WV5eRq/Xs76+TjQaxev14vP5sFgsuF1WfvSBq/zoA1Ua9Pj0Os9OrPGVrz/L3OIu27sNReXZxV3aAk72g3EAWgMOrt1YBaDF5+Aw3Hhvrl7qp1zJ47BbqFTSnD/jQhQlFEXAYTej0+koFsvkC0XMRpl0ukoQEMUC8XgCh8P+nB7H7eZgvufBvIH2atGUFUVhe3ub5eVlTp8+TaxoAdbY2ksydr6FZyPpW+jIVoPEQW1iDh/lGHIasRtufXxRlYjjzGqMu0f9XFvThq/a7MY6wCSzRaRgCn1T6FtEYaM2CRdKFZa24nzfkIenms415LMytVH92/JmnLE+F4iChv4MkM2WiKYKJHMlLvU4mQ4mWWvK2wRsep5eiWLUSVzstDO5n2S01c5Mk0S5ThQ5jGS53OVgYu+4ml5v8tJSuSI31mKc8VlIFErsJvKMttpu8Y6KxQqr+ylG2+3kFYVIulAPl53Y2TYH17fi7NQ8prNtNiQFbDqBZLF63X6vjQmVDM9oq41J1bX8Vj2b4QynPWYsBplSpUJOUZCEas7LIAm1upLq924WFZYijefT6zJpQmUXVBRmWRSIqXJPlwJWJsMpWix6fCYdItBvN7KZqOqonagC3NVqrXs553wWQtkC55wWJFGoy/iPOnSs5EoYBRhwWLkerXqcTlN1pevRVRvF7WTyDNiMhApZ/AYDZlnPdrYaCovkM9hkC3pR4biWfyhWRML5Ih0mI8VKmlhB5B7PG0OPjcVirK6uMjIyQltbG9lstk4UWF9fR6/X10Npbre72q/+4gB3XRzgEz/zXvYPj3jsiVmenVzjb/9xgkwmT3enrw4woUjjvTgMJ+jr9rO+Va2zKVcUdvbD7OxXw2bdHR6296qLolODLSyuNELnd13sZ2al8ct69DEXbS2OOj3b5XLVQeV2czBvJQYZvMkA5tVI8lcqFebn5wmFQly+fBmXy8X409v1z8dvHnJ+rJVoUy6hzWFgRdWfZXkjzrvsWvkWk05kuynMVTgucFeHg2dVk1+hKRGezBSQiwJdLgvbNQ+l1QT7iYa3ViorlNJFxtpsGukT9blKFYXp9RhDLhFBoS5C2Wo3sFSbDAulClOrMe4d8fLEmta76HSaCMVyZAplptaOuNjjpFDSjtWoE1k+SJIvVrixdkS/34Lbrud6k9bZqYCV6xtHzO0dI4sCY90O0k333ek2crMGXnO1/MS7hjxEM0VmD5IgCLhMcr1G58QMssiz60eIApz2m3HbjMypwFIWucUranOamNo7JlJLzl/pcjC1Ux1bh93AgN9CslCmTxAoKxWMEuweZzELZfJlkCsFHDoRQRSx6EWimSL9DiN6ScBvN5AuVjtSKopCslBGL4jsHRfosBp4ujb+IZeR+Rp7zaYTWY5X2z4P2s0USgp7xwX2jgt0u6rvlQCEcnmGLWaC2TJz8TQVBfxGHWupLENWMxICCzX1BadBQieZ2EkXKdUKZHutJsySxGwizWW3GQrQZbaylKw+L49BRhTsTB5l6LG8/pNbKBRiZmaGM2fO1Nv5mkwmOjs76ezspFwuc3R0RCQSYWlpiXw+ryEKmEwm2lpcfORD7+AjH3oH/+n/9RM8dX2FazeWOQwl2NgOsboRpLPdy+5+9X0P+B11gFnf0rYVbvE76wCztRPVRFWaoyvell5OnfITjUZZWVkhn8/jdDrxeDzk8/mXrSn2VtMhgzsMYF7MNXylIbJ8Ps/k5CSVSkXTanmtKU9wsBJD59LK1Fh0tybsFpeiXOl1cr0GHr0eMwvJuHanssKNmSB3nQvw7E4CSYD1Js+h121k9SCDo5Klx2tmM57D77Cyn9Cu9vfCKfbjBa4Mebh+kMRpkllumnw7LLCwX+Rst4PlZJ5csUKHw8hhE/AdhrP0WY0kKhVCqQIGWWCl6VyJVIFMrsiw38JSzeM602pnXEUoWAulsepErrTbmQ2lyBYrmPUii00y+4VChd1gmiudDuaCSTKFCi6Tjh2lEaIK2PQ8tRKlWFZocxppdZsQRUEDXq0OA1M1UKoosBjMcEoQSaYKDPktOMw6DDqJJzcaYxzyWzT1Na12fX27VFEolCtc24qTr4Xvul0mdo9z9Yr+0RYLM+HGOD0OgZV49d82vcheqlDvdnm5w85SLYfjNcl1WjKArqZFJwvVGphUsczyURZRFOv7jXrMLCWr1+qTi+RlMzNHOS74rCwcV7+DbpuRbKnCdCTNqNdcP6dSEVhPFugw64kWa62zZR1T8ep3ESvk8OqN5MpQrk2WOgGmE1k8egM23esXIgM4PDxkbm6Os2fPPm+PJ3UR54lWVyQSIRgMsrS0hNlsxufz4fF4cDqdGPQ63v19I7z7+0b49V96iLWNII9+e4altQP+8m+eoVgqE4023s3YUZr+ngDrW1UPpqLyxLO5It2dXrZ2quG3ZEobwl7fCvGue4bxeDxANYdyklc6OjoiHo9TKpXqWm4vlvT/HsC8wfZKPJhEIsHk5CQul4vR0VGN+7p+qJ1Y7SYdlWQRs14iU5s4mkNmboueUDRLaPKQSxdbmNhNYJFvdYn3anH5G9NBrpwLkMiVWGkKOTmtJiBDIlOkEk7T57dwmNCuwP0Wif1Y9W83lqOcaTehsxi42ZSTMeqqLKqZrQQ9fgtZg8xmE1mh1VH1aBQF7CaZ0VYrep3IZK3h04m5zDo2gilCx3ku97mZDSbr93NiHS4jMzuJatLbpmeozYZeFrm+oQ3lpbMl0vkyN9ZiOMw6xvpcXG+S3Ghzmuo5pv14rso8ypa51GYjkS+zFs1gooBak3O0zVavz1kJprEbZSqKgkcn0ekxVSXcJVHDRvNZDRyo9OTanEZCKq/QYpDq19BJAuFs47vvdhpYUzHxWoxlVmrzjt0gMa/Ko/W5jHXG2TmvGb0kctpp5jCdZyKUIl2sypseFRqkgxIKPXqB41wJwWRlr1aUma699/2WavuFg2wBp15iI1293jmnlamjFBXAY5CIFqHXbGO3VkDYYdJTUgok8yLdlupzEFBIFBUKFYXe19l7OWGSnT9/Hq/3pfW4FwSh3sK3p6eHYrH4onpp/b0B+nurXRz/w6d+jG9fW+SxJ2YplSt1L8bvtdcBZmcvormm32OvA8zeofad3tgK1xe8giDUC1A7OzuZmprCaDRSqVRYWFigVCrhcrnweDx4PJ764lZt3wuRvcF2uzmY/f195ubm6O/vp7e39xZPaaNJKt5p1jE1d8TZMz5uFrMoCkSaKI1tLhNHtQT5zHSQM2d8pJv0jgJ2AyGVVMv4TJB3nm9hpWl8h6qiv2S2hD9bwmGQUROnuzxWQrFGSGt+L8uIN4tBEsmXq/djkgU2I43JbzOU5kK3g7xOIqKaFNudJg4i1bEfZ0vMb8R5x7AHnSRQrM2sDpPMXA0IFQXG12Jc7XNxlCtpxhWw6tmreUeRZIFktsjpVju9bhMbtcl2tM3GnEpRIJEpEk/mMVXgbIeDhXAKp1nPdBPwBuxGDo4STGzEARh0g04y4LUIRNJFRBpMshMbClhrBIEysUyRC512praOsOglOtwmAo4qC6vfY+Iwma+GzlTgMtpiY1YFyOfbHZoaGatRR6X2LP1WHZv5CifkaZ+uyFpOxmeUaLXqERQYcZjZSebJlRWma/mWq622ejfTs14LC4k0Rklg1GVhK5EiXIROq5G1Grj02o3E80WGrdV6l4Nacr7PYWI1labPZCZbVjjhwkUKeXrNNoLZAhmlum/AKJMsiWznc/iN1felx2xjpVbc1/M6TmwnCf0LFy68ov7zz6eXtr29zdzcHA6HQ6OXZrUYuf++C9x/3wUURWF2YZdHn5hhZT1YD4Udho9p8TkIRqrfuaiS9k+mcvi9TkK1z7Z2Y8iyjKIoVCqV+twkCALlchmbzUZ7e3vd84pGowSDQZaXlzGbzXWwcTgciKJIKpX6HsC8kfZyPRhFUVheXmZnZ4cLFy48pxRNsVxhp6k6/4RANjMX5sqVNqYPjzk8apKSUEnvl8sKOysx2ju1VdDtTpMGYFBgbemQIbeB5Vj1Pvx2PbsRrevtMumYWT/iXL+rTrNtbmjmsepZOsjitwtkdJAoCrSYKmykm1QEKgorWwkuD3oY340jCgLrTYDa4zXzxEyIbr8FRSexfZRlMGDlRlOOJnZcYPUwyaU+NyuRqrJtMwFgtN3BeC0/cqnXxc5xtt7D48R6fRZma4BzYy2G1Sgz2GEiny8STtWEJD0mbm5rz10S9Kwc5BEEGG6x0uo2adQFWu2N8BlUacn7NQZculBm6TBFsVxhvQaIAmB0meh3GLAaZPSSgMEgcanVRkVRqsWLpTLDbhMIVfHM40KZcz4zoiDgsuhJFctUKgqyKHCQKaAvF4gkK9gqeabz1Z/XkMvAco3ZZpIFVhON79usExh1WVmMZogcJwkXqy9fwGYgGCsiotBu1jMVLTKdTnPe3wihVFBwiHqWEhms5ur72G3R45R1TMTSXPZYWK2JZFYUkeVkBqssEs7ncOv1lGm8w6+XB7O9vc3a2hoXL17E5XK9aud9qXppPp8Pt9uNLMucHenk7EgnAP/hUx/k8e8u8Oi3ZwlHj+sAcxRvUu7wO+oAs74VRlcLK1YqlXqb5HQ6TTqdRpZlCoUCoijW80rd3d11zysajTI7O8vW1hZf+cpXyGQyjI6OvuJn8fnPf57f+73f4/DwkPPnz/Nf/+t/5a677nre/b/85S/z6U9/ms3NTQYHB/nMZz7D+973vlc8DrjDAOal5GDK5TKKorzovsVikenpadLpNHfffffzrgy2gqm6YOGJZbONPM/49X1Gz9iZbmrFnclqc0E+m4GD9Tg9nXY2a7UxQtN59ZLCYaJM+ajE2PkA49sJOpwmQk0Ak0gVKJQqzC1HGTvlZes4d0veptttJBbLcpgo4bToGPCbESsVoPGDMMpVIc5yRWF8KcJotxOdWWaiiYnmMlVFN7dC6WpVfp+LraawWp/PzEptMp9ci+G26jnb4uDxpQbxQRSoU7IrCkyuHzHaYceoF7EbZY5rNQRWvTaU6Lbo+PZ8CEkQuNDpIF0qY9DJKKr8zKDPwEpNwl9RYCOUJposEEkV6PVZ8Nj0GAwSQRV9+nyno053rm7bualilo122JlWAdRYl4MnVbTqy91ObqgAq89nYb12f51OI9OhVJ08N9bpYLsWdmu16tlS1b3kClmges+nnAbiJYU+uwlBgGv71efskBW2a3VKVp3IUjzNiMNCMl/iRjhFrlzBoZdYPa55hU4zK0c50qUyo24za9nq3316A9drckAFpTqGIauV6Vr/m26zgVixRKooYZGqixG9KNJmeu3rLzY2Ntjc3OTSpUs4HC+uefZK7Pn00lZWVshms7fopXndNj74/rv44PvvolQqMz69yTe/Pcu3ry1ppPzNpkZzsp39GIViCb1OrudX8vk8MzMztLW11fNGJx4OVOe4E93FE8/L7/czMzPDn/3Zn/HMM88wNTXF+973Ph544AGuXLnysu77S1/6Eo888ghf+MIXuHr1Kp/97Gd573vfy9LS0nPmuZ566ik+/OEP87u/+7s88MAD/Nmf/RkPPfQQExMTrwrYCcoLFZ68zlYul18wiV8sFnnssce47777kJ+j3/2JpdNpJiYmMJlMnD9/vr7KeC57dHKfX/qj65q/+Q0SYVUR4XCrnrzZxHqk8Te7KJJUiVVe7nMxvhDGaTNgbbOyHc3QYtQRVBU8DvqMrOw0Ju6x8wFyhTKz6noOk45UIqdh/d57oYXHF8P1HAJUJVH24g3PIOAw0OazMKE612iribkd7QrsUredRKnR+8asF6FUIaPyMs51OSgUKyTKFQ5qbLoLHY46HRrApBeRFYF2j4kssBXLcr7Lwc1aOOvETrVYWNxLYjZInOlykiyWWNzXgte5TjvTqnH3+y2Uy2A2KKxHc2TLQnVyV3mal3ud3FBdq9drZjOawaKX6fWbMeklUsUKS6FqbxdZrC0CagAkiQIBp5G92vdjkARsZj2RdBUkfFY9iUKprgZ9rt2uKdo812HnZg30/VY9sWKlvlC52G5jotYmYNhj4jBXoMMkIxSLRIplQsXqZDTi0rGcrL7vZ+wCK7nq8W9rtbOfLrB5nGOspSqICTDmt7KZztJqMGLUiczEa/L/fgtrqQzdBjMppcRhroBVFjHoSvRZrGQKCnuF6jkuu82UKjBxlGHAJpIsFRmw2vg3Q6d5rUxRFNbX19nZ2eHSpUvY7S9P7+zVNrVeWiwWu0UvrTkZv3sQ47En5njsO3OkMwW+++xq/bMn/+//w0Atx5PJZBgfH8fv9zM0NFRfBKu9m5N/n5goivX/PvKRjzA6Osrw8DB///d/TyaT4W/+5m9e1r1dvXqVK1eu8Ad/8Af1a3d2dvKLv/iLfOpTn7pl/x//8R8nnU7z9a9/vf63u+++mwsXLvCFL3zhZV37uexNJXpzkph/oTBZOBzm2rVr+P1+xsbGXhBcANaamFNWo6wBFwClDKGNBD2+anii1WnUgAtUe3cDxJN50odpzrTZNOAC4LBoE3s3Z0NYan3ET6zPZ24uKeEwmOZ8oKq7BWDTw35C+ww6PGYmFyOMtdvrLWGLZe3XazeKTK3F2diKM+KREVA41WrTgAtUiyGXdo85imS40unAY9Ux25SQP9PhIJUrsbSXZO8gxeUOO/mmHNRAoAouUG1DfX0lilWo6pa5zNXvpctjuiXMZpQlNsNp5nczVIoK9w66MckCJ+Fwi15ipSnMZ9JLKLV+MjM7x1QqCvPbCeSSwoDTyDv7PbTaDAx6zVj1Euc77XVwATjX4aiDC0Cn21QHF1Godsw8sR63iWmVR9nhMtXBpdWiI5krMeYzM+YxY9OJJNMl5sI5DGZzHVz8RoGVWgM1naAQLimM2E34dXo2Ejk2j6tjSxQb19WLIqWiwGw0zUG2CpRGqSr/7xUNRHJFDnO1/IzNQI/Zwo1IGrO+8YLJgsjEUQa/QSZZKiIAA1Ynr5UpisLq6iq7u7tcvnz5DQcXaOilXbp0iXvvvZehoSHK5TJzc3M8/vjjTE1Nsbu7W1cN6Wh185M//g7+9x98nP/zhx/nz77wcX76X76Trg5PnRyQzWafE1ygCiKSJKHX69Hr9RgMBmS56vUoikKpVKJQKLC/v4/D4eAjH/kIf/7nf/6ywaVQKDA+Ps59992nufZ9993HtWvXnvOYa9euafYHeO973/u8+79ce1OFyE5akD4XwCiKwubmJqurq5w5c4a2traXdM1IEwi0qirdTyyZKZPJlUkdJGnxmmmxGzls/WWa7AAAol1JREFUqpQ/VLGrjhI5+nJm/DaJULIx1vCR9rz9LTauTwW5MOJlJpiiVFaoNLUttplkVnePKVUUuv0mIkKJbo+ZuZR2gk3UKsonVqL0tdrQmWSWmwQlh9oc3FiqCmwubGdpd0mEw9o8S7vbxFItjJQvVrixFOWdZ3xsSVk267kLpZ7Yh2qxWiZbYi+U5nK3g5m9Y/IlBVMTq67DbWJ8PYaiVGtZxnqcSE21Q/1+C3OqMFahpLAZTLMVyeAw6+hvsWI1yzy50hj3cIuVeVWoy23R1Qs686UKu7Es0XSBo9qiwCALxOJ5Bp1GLAYZo14EpdrdslBWkMQqEaHTYaBcgS63iZ3jPN1OI7JQXWA4TDKyKKAXBQqlCqdsBmKZAm1mfb36v9dtYr1GuhCAiCps1mE3Eovl8OkEem165uIFJtNZOg1lDorV59ZjN7CdyhMw6ui0GHnqoHpPg04jO7laYzK7iYNMkZ1cjst+K/EaaNlkmafDSSqKwFGx5pUZdEzWvKFWk57DfJ5Osw2X/lZG06thiqKwtLRUrzm7Eym4z6WXFg6Hn1cvzWTU8/1vH+H73z7C7/zaj1Iolshms9y4cQOfz3cLuDTbiXd08v9KpUKlUuE73/kOk5OTfP/3f/9t30skEqFcLhMIBDR/DwQCLC4uPucxh4eHz7n/4eHhc+7/cu2OApiXYrIs3xJGO1l9RKNR7rrrrpcV312aPmSozcZybYKyG7UejyRCOFH90caOcrTqJQwubUMmt1XHYbQpj3J0TOaoRE+nk81wdXLcblJsthmrj//mfITTAy62U3nW97UeVX/AytRxrfArlMVj02GUtGMMOA2sqo5bP0hydcjDmTYbsypplOYx6vVGgtEMIy1G5kPVCcsmFdlXYZwsCcysxznOFLk84Gb+MEl/wMpsk7KyAKRyJcaXovgcBga6HTyzqqV8em0Gdmtgki9VODzKEorlONtppyQILBwmKee1gH+uy1EPnyUyRVb2k1QUBYso0B+woggC5aaONL0+C+Oq8Z3ttNcFN6vbTk1u5kqPi+tbDcC60O2oEyGkmoT7YS201u81a/I0l7ocTNSevc+i03g2dosO0idSMhbmagsMtw5Sx0ladQa20mVMRoFUbR3itpvrXS11hTQ9ksxaooBf9V46jDI7uTynbRaKFQjVPMfUCZXZZOJmLENJAZ9RJpIvYJNl3LKRYK46VoMEHr2B69EsP9X76k/8iqKwsLBANBrlypUrmEymFz/oDTa1XlpfX99z6qWpG6vpdDqUSpnx8XG8Xi/Dw8MvW+ZFFEWeeeYZPvzhD/O5z32Oj3/846/R3b0x9qYKkcGtTLJcLsezzz5LOp3mnnvuednJw9XtBKHlGO3u2g+gKSXV4bVQUnkVB8E0SqqAy9pI9nV4bk2QHmcU0tkK0d0kAy1Wuj2m5lMTU6kFLKweMew0YZC1X0m5qbdMRRFYWI5ysatxn53Pcf3dUJrZlRhjXQ50UnUy3m0qtnRb9WTyZRa20owGrLQ69Oweaa/X7zNwlCpUiQLLUcwIOPTadUmn18y8KocSTuTJpQu0GPVc7HIgCtUc0WyTQKDfbqRUUZjdSrC4GWfQCiZJwKFq9hRvCkUOt9tI58sksyWmNuMUi2XmN+P0u4xc6XJwqcPOqmqStxokFlXhNJNO1PThsTcpBXS5TUyrPL9zHY46uACYjI2x+Sx6ZlTX6vKY6z1iWm16ZlQ5I5te4rLXQrdexFUpspiR2UqXGXKb2Kqd32WQWE0VMEkCF9wWwmUDS+lqf/m1Wr5FAoKZPP0mM3ORNBu1okynQWInk2PYYiFbqpCsKTB0WPToRRGxIlNSAXGmXOS4IGOVdXgNjXf51bBKpcLc3BxHR0dvGnB5LjvRSzt79izvete7OH/+PAaDgY2NDb797W/zzDPPcO3aNWw2222BC8D169f50R/9UX77t3+bj3/8469Ih8zr9SJJEsGgVp0gGAzWVRKaraWl5WXt/3LtjgKYl/Jw1QATj8e5du0aVquVu+666zmLl17IIvEsyXSR42QeYlkcZh3ptJYO7LZpK/pFAaYXItjKlTrI6CXtY7QZJULx2qoyU2Rv/Qh7E3PKadGx2ZRHEMoKQqZIn78KGHpZYLmJqtsXsJLNl5laiDDW6UCWhFtyRn0Baz2ENb4YocOix2fVej1GnciSKvcxtxmn3WZkuNUG6omoiS1n0sF3pw8Z8JgZCFRXvl6bdoLy2PTMbiXYj2WZWo7RZtYz0mpDUZ23xWm4xQtClFncz5NNFTjfbuPtQx5NYafdJDPfpGVWKFWoKLAeTHNjNQaKQuo4T7fdwKUOO3f1OvFb9RhrSgxnOhzEVbUzQwGbRsLGZdXXc2CSKLCfaoBLj8fMrOo76/KaG3VDRonZGnCZZIEBr5lLXgvnnEbOOo1c20pwffeYzeMCcanxntoNjffilMfMGYeFclGgUIaj2rhOeyykler4ew1wdJxnNpamwyiQrS1Aeu1GhiwWJsPV5nAnJgsKHtnIejJPvBYqs8kSBlHPejrPoO3VZY9VKhVmZ2c5Pj7m8uXLL/s3eaeaKIq4XC4GBwe55557uHz5MtlsFlmWiUQifPe732VhYYFwOPySSykmJyd56KGH+I3f+A1+8Rd/8RWLXOr1esbGxnjsscfqf6tUKjz22GPcc889z3nMPffco9kf4NFHH33e/V+uvelCZCdyMXt7e8zPzzM4OEh3d/dtfTmbqpXqwUGKwUE30aaWyM0I3Om3sLWbZGcvSWebDcGq5zilrZHpbbUznWw0E8vly2ytH3Gxz8VkTWalx2/lZlPxZjCaJZrIk8qWGO11kMxk2Ao3UahzjQl/YjHChUE3e026aWrvCmAvkiZ5nGes18nExhEKAqc77UyuaPMviVSR1b1jhjrsZCsKkiyy2SSjY6hJ3a/uHSMAV4Y97DcBXI/fyni8cf/pXIlrsyE8Zj1dLRbm9o9pd1sIqmqL2lx61mo05GJZYXrjiC6vBbso0NdmJ1ko4bDqua6iWJ/psGvyNS0OAzPbCSoKbEcyHKULVFBI58sIAvR6LRRzJS6320EQKCsK6VyRFpueeK5EwG68xXuZ2G9s2806SOSQhGqRZSJTZNRnxiCJ2I06wukC4VSefKnC9e0EuRrx46KqPmrEZ2auptLgNEjMxzJ0WfW4dDKb8Rz7tQVOWWh87wadiF0n0WY0IsuQrCkiG3RAHgRFIZNIs1h7nMlaCFlEoaIIzB5lcOklwvnqudtMRp6NpgGBQdurFx6rVCpMT0+Ty+W4fPkyev2r6xndKZbP55mbm8Pn8zEyMkKlUqnrpS0uLlIoFG7RS2u2mZkZPvCBD/Dv/t2/49/+23/7qikoP/LII/zkT/4kly9f5q677uKzn/0s6XSaj33sYwB89KMfpb29nd/93d8F4Jd+6Zd417vexe///u9z//338xd/8RfcuHGD//7f//urMp43HcCIosju7i6JRIKLFy++ZJmJ57LNPW2+I3KYpq3FSkIu1mXlU00hGrfdyBbV43b2k3R32DmKa0NPOlH7snjsBnaDaXaDaS5faOHG+hFCU7zM7zSyW1sB5wtl5pdijJ2ysx0u1unJNpPMyq7Wo5EFgWw8X81V7CQQBVjf167yT3c6mV6JEp0Pc6rbSTRXIt3kmXT6zKzWJtfl3WN0ssjbz/o5jGTIFavPwm6S2T1qHKcAsWiMYKTCmS4ru8climWFpSava6DNxo3lKOFEjnAiR4fXhFSu4LXKRFLV8/kcZvaPGt7jaJez7uFMrESxmWUyqQJjHXZyFYWVYIp8URvOa3WbOFRJ55xqt3N9vQqiVSkbAzdUVOvL/W4WVQoDbr+FuCSglyWMskAuV6TLokdRFDxWPfvhNOZyhWyxQkeLrd6fxiiLGIwyiRr4X+5x1pWW3SaZGVVITpFloIBNJ3LRZ2HnuMBqJMtpn6kOLj6TzHLtnTJKICoCmazCTCqNyyLVv/dQWcSpE7BURNYK1WNNVNjJ5ACBUauZ67UwXZfVwHauhF0noygiZaX6Tr1aAFMul7l58ybFYvElsTffrJbP5xkfH8fhcDAyMoIgCBq9tOHh4efVSzs+PmZ0dJS1tTXe//7384lPfIJf//Vff1Xl+X/8x3+ccDjMb/7mb3J4eMiFCxf4h3/4h3oif3t7W0PDftvb3saf/dmf8Ru/8Rv8+q//OoODg3zta197VWpg4A4DmJdSPJlOpxEEgbvvvvsVs1I2m1hWAbeJudkQZ88FmA9XWV37TVX+zR5NIZ2hnCvT5rOxX0uix5p6pXT6LERroZ7xqUMujfrZb8qHdPjM9c6IAAoKGztZRvxWdlIFjjNFBlptTC1r2ywHoxlSmSIzixHGTnvJCwKzTRX4ZZUi8uJWnL5WKzadpNHn8juM7AQb92qQBZ6ZCWE36RhutXFzO8FQu50bS43EvU4SiGYkSpUKc5sp9DKcbtezGmmAp1EnstIU1mpxmri+GEEQ4FSHDYvNqKmxAa2nBjDcZufGaoy92jM+2+OkrChc7nIQShfIl8rMqIDNZpSZ32tsm/UiyyrNObtJZl71/Xe6TUzVNNWgxIVuJ1OqcfvsRsI1pp5ZJ7KoKkQ9026rd82UJYE1FTOxxQy1uke6HQZMApy1G1iKZFiMZDmogYpFFSrrc5uYiqQYdphwGGSu1cBq1GtmtSa4OOSqqgvsJgq4bRLF2qsz6LGymsnSiULoKAE1QoiolJAFAbGk41iqvg8iMGB95SGyUqnE1NQUiqIwNjb2gjVqb2Y7oQHb7XbOnDnznPPVC+mlfexjH2N/f59KpcJ9993HL/zCL7wmvV8+8YlP8IlPfOI5P3v88cdv+duP/diP8WM/9mOv+jjgDsvBvJClUimuXbuGKIp0dXW9KpTHZoCx1JLLM9NBzgSqUiTN9S7xJvBwWnTEEyUyoQz9rVbMBont5txKE8spEkrjkAVNKCvfVIvS12onmsgzv36EqVShL2CpVxOfWIfPrAGFiYUIDlGo1+tANVzW7FG4bAYm5sMM+620uYwYdCLLTSAw3OEgmy8TjueYXo5yOmC5pc7lTI+TeEol1FiG/ZhCJVdkwAUWHfT6qqGkEzMbJOY2q2CiKLC4k0QplPEaZS73OAnYDYx02FlTPUOLQWKp6bvKF8rMbyUYX46ys5ek12VmJGDlSreToRYrpzuqZIATG+lwcqzy2obabHUhUwCPw9AgYQgQU43Zbzcwo/IKT7fbSeZPdKdgXyWcebbdTqyW49ELCsVimTGPiX6TDr9Bx8TOMbPBNAMecx1crHqRBZUenQh0mYzcDGZIqO7BpK9RXFFw6mQWwhni+VL971AFuCGzmYWkgtnRCM3Fclks2SLriRz7tar/NpMR83MItL4cKxaLdYbVxYsX39LgcuPGDWw22/OCy3PZiV7a6OgoX/nKVzCbzZw7d47Dw0NaW1u5++67mZube41H/8bZHQcwz/XFhUIhnn76aVpaWvB4PC/Y9fLl2FYTJVhRVThOTwXpc1XVeE9MEgV2miRbDIZqEjNxnGd/Pc6lfjflpkrJgyYvKOAysrIeR1co0ddqRScJrDQVMrpVifNQLEv0MIWp6dEEnNrYrl4WuLkUYW8nweVeF6IAfS1WDQtOQGGrlldZ2koQC2d425CXTBN4NNcHyYLA/HKMi11OfLX+74kmfbQzPU4iiQK5osLaYYlKoYJeAYexMfB2h0C20ABKj93AzGac4FGOG4sRQuE0dp3EpR4nthrgn+50kFSDQ3uDVg7gtRuYWIsxsxnnxkqU/WCKpc0EnRYDF1rt3NXjgnKFLrcJgyxgM0osqI5vcRqYVgHs2Q4H26paqE5Po5BSEgU2VTmns+12DpJ53CYdw14zVlnkottMC2V6jbB6VGFiN8n+cZ4FFWFBryJ9nPZZKJYrjLrM3O2z8tRukuWjLA69xHJNt0wWBTaSOdpMegKygflopq74fFJ0KaJQKsF4MIUsCOzUlJSdeomA1c5qQUebUaRUO86Vz7C+vs7x8fFt/aaKxSITExNIksSFCxfe0uAyPj6O1Wp9WeCits3NTR588EH+xb/4Fzz99NPcuHGDvb09fv7nf/4l1+y9Ge2OfiNOJCbW19cZHR2ltbWVhYWFV6WrZalcuQUs0mntJFs8znMmYGUhnKJYUujyW9jY0a6kg+HGpJHLlcgfZRkbdDNeS6D7nUYOmwAmm6uOPxzNkkgWONVnZGZLe0/NE3x3wMr1m0FGBz1sJ3IcZ4qEYtow23CXk5laCG18NsRAp51iU5OvU11OFlQSK/lihf3DFG0WAxa7gcW9YwbbbKw23We5rFBRYGo5ikEn8s4zvjph4cSaG6kNtjuYXj9CEgXOdFo5SmcIxrWhry6fmUlV4r6v1cbT89XqaFkSON/jRKKqcH1CWZaaclzdAQvjqnOc7nRwYzXGcabIbjTD2IC7LtwpCDA27CV4nMfsNKGTRRxWPR35EmWlSgm2GmRGW6yggChBpVThQqsNURCwm2VShTLdNj2FYgW5rGCtKBwdZfEbJL6jIk5YHSagChCnW21M1N43p1FirhYOteslzKKAR5C5uZfkSneDfj7oMXEzWn13TrlNGCWRycM0PQ5DXVmg224glC9g00n0mU1MhKrA2ec0sluovkPdFiNPH6QAgYDdxHGmes5Rt5NkMsnm5iayLNflUk66Rr6QnUy6JpOJc+fOvWivkzerndyn2WxmdHT0tu5zb2+P+++/nx/6oR/ic5/7XP0cLS0t9eT7W9XuWIApl8vMzMwQj8e5evVqXWJCkiSKxeKLHP3itnuYuiXk1AwE+XyZ2YUw/QNOtjNF9JJ2cnRY9bc08kqmiixNhxi71MLNrQRtXjMh1XklUdCE5gqFMuWMwqVaBXyxpOBzGths8q6k2qppdiWK12nkyoCb64vaQkahaRGaL5TZWY5yedjL5EaMcgX0TXU2rR5TgwodSnN+0I3BJN+yz6KqhiVfrHCcKkChzJV+N/N7CfxOE8tNoJSrAU65ojC/lWSozYBZr6M3oGNuJ4FOgvktLUiZVSv7UllBFkWemQsjCjDYbqfFY2Q7kqVKMRBwWnUaLTeDLGgayMmSwEZInVsSmds9roft3FY9qd0Khdq7MNRm5aaKPn253811VZ+c7oCFrZon0u+3MKtapOhUTel6vWbWVF5QQgW+Q14L+bJCpVQmmS/xRO16kiiwrmIEnlCQh+wmDIg8W9Nw85h17NS8loBVh64gcJwuUzI2XgCHUWK3AANWE4WiQOVEx06s7tNnMXOupZVTLkudBRUOh+ssqJO+Kj6fD4NBS9U/SXRbrdbbnnTfDHbioZnNZs6ePXtb93lwcMD73vc+7r33Xv7wD//wLfusns/uuLsVBIFsNsszzzxDPp/nnnvu0egXvRptkwE2m5hWTpvhlpBPpDaRrK3GcZUL0HTdDp82RCWJsFUDj4mJQwa95lsecH+7jUxTAvs4DZOzYTotBlpdRjp9WuVnSYRVVc1KJJ5DKZS53OdCX9MnMxkklpoKGQMuU1XuZTZEp8PEcKeDxabak3avNpe1sXfM0nKUsX5XVUIFaHObNUWibruBufUjUtkSN+bDyCWFXp8Zq6r+oq/VektyP1+WWdtLMr0SwypL3HPKj1fVdtpjEZhVeVeiQL2ep6LAyu4xieMiW3tJXHqZ850OLvY48Vga4cTRHhdHqlqmsz1OoslG3uxMt1OTE+prtdXBBUCnawCcQRZZUYHT6TZbHVwAbOYGU8pr1TGnyhup82t9HjPRTIFLPgsXXEYO4zlu7iaYOUzhszXu/7TfzFFNTsZrkskWKwxYTMwHs3W5f4CwKpypF0V2onkOUgUyqvczUy7TZzUxF8xqGppFCkU8eh1r4Rz9jur7K4oiHo+HU6dO8fa3v52rV6/icDjY39/nO9/5Ds8880w9lJbNZrl+/Tp2u/22J903gxWLRcbHxzEajbd9n8FgkAceeIC77rqLP/7jP35Rr/CtaHfc2xGLxbh27Rp2u50rV67csnp6pW2TT6yZotzi1oKFyShpPJpQsIi5rKND1Y/DpNOu9LvbbJreJ4tLUbKxLN2tDcCwm7W1AX6Xkb1aon5j95hUJItZ0oaAhjodt9ClI9Es47MhAmY9fS1Whjrs5DUhKkUTAtzcT2IR4GyXA4ux+qKLAmw2iX0OdTo4ThcZnw1hQeBSn1MDbgB9bdq8jigIPDlxCIUyY/1uHBYdtqb7HO50sKWagFOZAtOrMfYP0wz6LVzqc9HT6tLQIbo8IoeqibXdY2K2RhA4ShZY3U1wfSHC/mEKlyxyvt2GARhpt+O06BAFOFSFGiVRYEcFEBaDxKLKU+z0mjXMsjNdDo2SgCg3vhePVa/pRePUlepegs0osX+c45zPwmW/lRajTPIoy+TmEel8ie2alyIIsHHcGJ++Bm7tZj0jTjPrkRyz4QxDXmPdA2qz6tlL59GLcMFl4TvbCTKlCiZZYCtVPZdJEpAEgcVgFkmA/VouxmuUSZVKFHMCPqMB3XNMmicsqN7eXu666y7e+c530tnZSTKZ5MaNGzz55JOIokggEKhL0L/V7MRzMRgMtx3+i0QivP/972d0dJQvfvGLb9n81IvZHQcwGxsbDAwMPK/rfbtdLZstEU1hV618LUbtC9Dus2hW7aKgML8Q4Xg7welanDzdNOm7bNqqZb/bxOJylOBGnIuD1b7dwbB2sm73a72VYqnMjfEDLnU7MdeoqyZDU8jKa2arBgy7hym2t+K4jDI61QQ42Okg2KQ9lkoXGJ8NYaoonO91crrbeUuuJ6wK60QTOSrFah+S0R4nUPWmNprCdwPtdoqlCqlsifH5MBZRoJzN4jKrVHybFm9n+zxEazUrq7vHbO0nWVo94lyHnfPdTox6kYqofZ5mXUmjNH26y0mqlos4ShUQgKdmQ8yvxYhHs4x1OXHqJC53O7nc4+JtQx70klhnXZ3udJJSeZNeu5ZJFlSxwzrcJo2kTJ/fQrlcwWmQaDFWMBuNXGm1ctZt4pzPwmE4w/RWnNm9BDf3j+vjtlsbC6ZTfguR2jtkkkVyxTKjViN74Qx7qWI9iW9Tff+ddgOdZj02QUeupNTP2+8y1WVqBh1mFkNZcmWFXoep3umy3aqnQ29mI5Fn2PnS6Ml6vZ62tjYGBgaQJKnesGtxcVGjPJzP51/8ZG8CO2HF6fV6zp8/f1vgcnR0xIMPPsjAwAB/+qd/+patCXopdsfB6tjY2AuujF6tENnkxC7WcgG901idZJvyFwad9g8ep0Q4XKJYLLA6dcjYXe0s3ZLk1npWbX4LoVCafL7M1I19Tg1Z2Axpw3ClpmLBgS4Hc4tRJmdDtPjMtLZa2W7yMtp9Zg5VoRuTXuKp6/u0eM0YbXpW9pK3eBAtHhOrtVxFNJEnmgjz9outdPstbNXO1ddmZb0pj5LOlqq068MUA10OWnxmnpwJ1T+XxFu9IKdZYHYtiSDAmT4XRrOeyRVtvuioSf2gr9XGjYUIM7Vk/dk+F4gCnl4Xa8EUsiiwGW4AuiTA6n5cc45YU4gzmsxrund2Bazs1e7VadFxnMgx6DZh1ElYzDKlcoXLHQ4EAcxGmXSxTKtFh4KCzazHZ5YplhVK5QqRaBZdsUIil6e93cz0TpqTZm/tKi/3dJuNyRogG2SRRZUHZdTLmCSB0y4zVr3IE7Vn7zXrWKl5bgKwnawuAiRAh8BqNE+potBia0xclpr3c8ZpoVIWyNSoYha9dMIzwIjEd2uKzKecL53mn0qlGB8frwONIAj1gkK18rDNZqsTBWw222tS4/FaWqlUYnJyElmWb9tzSSQSPPjgg7S1tfGlL33pLatm8FLtjgOYl9LV8tUIkW3vxjkIpggEbLT7naSaNMhyWe3q3+0wEQ5XJ4pyWeFwLcpgm535nWMKNZDYa65/aQKtQrpMwGRA8cjsHKaQRFhvCj8ZVEv9w3CGXoNEj8dM/DhfD0sdJbST80Cng6n5MLuHKYQgXB71s9vUkbLDbyGoAiWbWcczU4eUKwpjp32shtM4LNofQ2fAwooqgb66nUAChlqsCLLI0u4xZ3pdTKuYU7IIW4fVSVRRYG7tiEunvLTajbT4zCzvHdPus7CoTszrxFs010oVhYUagEuiwPedD5DOl4imCmwGU5zusjG73bjHPr+BddX9DXc6NLUzp7scLKjAs6/VxqS6qn/Qw7iqQHW4y8Fi7XibUaIkiWRrYaoLPS6NjluBxnc21GJlSeUFplRhy9NtNiZDaQQUhl1m5FIFKVdmcivOqEq8tNtjJlwLzw64jWyl85yymygUyjy5m6Cs1IBHBdLRQpGzTitP7SQZCTTCvSd5mSGbmX0VAL9UD+b4+JiJiQk6Ozvp6+ur/z7VBYW9vb0UCgUikQjhcPi2WGlvtJVKJSYmJpBlmfPnz9/WeJPJJA8//DBut5uvfvWrt4T3/znaHQcwL2avhgeTy5U4rE3AwWASZ6GEo1/bE0EUjUDjB2w2m4HGSt2or3olbW1mChZ9TcW0qUdMEyvN7bAzMR1Er5e4dCFAKltkWcVQgqr8jPYYI+NTh3S22ZAtOlL5EuvNgo+qSUxRIJctUTzOc6HPxVRtkt5vomQPdjmYmKvSgSfmQnhdRvRUJ/sTCRa/y8SOqu9Nu8/MkookMNjtqK6QVdbj17O633huVrPM/PoRuUKZvVAag07E36dH6bCztJsABEZ7XYwvNhQKugNWFlTX0etEJpai9TyU3aLDqtcz1ucimsqzFUrT1EYHRXnhRYiaCGCQBVbUiso+cx1coApWN1TjiaUaXkiX16whAphNOk5chg6nkZUaScEoC9j0EmMeM+vhDGZR4EYNVG0GmUUVGzGpIh20mHWYEZjeT3Kx3Ua5dqk+l5G97EluRcImyjy1k8QkC2zXcjE6UWA3k6PPamL+MI2uVo+kFwV6bS+ucJxIJJiYmKC3t5eenp4X3PcklNbW1vayWWlvtJ14LpIk3Ta4pNNpPvjBD2Iymfjrv/7rt4zI5yu1Ow5gXsyDeTVyMNt7CU1+RSmXmZ9ao3fQz8ZBCQGFg5CWfnzcVMHvcNiBLPv7GczmPN0DZtSi1x6ngYOm/i/hWnikUCgz+ew+7/y+DsJ2A0e1c3e1WNluAo9IbTW8s59EEgXeeU8H303k616T1Syz3MQMkyWRWDxPLB7iVJ8Lq1PP+HxTiKrJC+oIWHl2KojXZaSj28nCdvwWr6LFY64TEqAq4vn0xAFdLRZkucxmpEgJPWpgHu52Mr7QuLbHaeQ7EwcoSjVH1dVm1RAjANwOA1sqQBzpdWoAqNNv4ZlarQzAqVpO7HKfmVyxRLZQYGW/KuYI0ObWa7yXUyrvBOBMj4sJVbjT4zCyVXvuggC7qjxVu1PH9lEjVOd1GNiqJe1tRpn52rhteokBr5lWm4FEukAyV+K7y9F6zqSgegEHAhYmau+K2yyzEs8SMMp0GWU2Ihn2ap6HoKr/8Zl17GXztJj1dFsMfHf/pP7FxHqmOvYeuwFJB8vBLK0WAwfF6vcy6DAjiy/8Ozs6OmJqaor+/n66urpecN9mO2GleTyeOz6UVi6XmZycRBRFLly4cFvgks1m+dCHPgTA3/7t396RjdXeKLvjAObF7NXwYLZ24pptj9tILJ5iae6Au+8ZZD9aIKha0YoC7DblGeKqau5MpoyurGOkW8fybpZSWcFuqqBWDXPaDew2eSc7Wwkqx3nODbmZXo7hcxs1AON3m9hSbZcrCvt7Sbx6CXurjcXtBAMd1fDYiRl0Iiuq0M/S+hFjZ3xcGnCzsp8kmSnS2WJlY/fWXAtA5ChH5CjH3ef9ZAoVptePUKjWzyw30aB9TiO7B8m6l3NuyINOJxExyaSyJUQBjZQNQIvbzH5tMg3FsvhdRmbXjuhps+FxmUikC8yqJntRgN0msC83VZ0bdBI3VU3ALg55MCoFAm4jZr2AQVdGr0ChIlJVtlHlvQQIqcDWbpaZUwmKnulyMquitBvlxrEmncjuUY5+jxmbXsJlMxBN5gklckSO88xsJeqSM5f7XRzUnrnTJLOkKtDNq25n0G2mVKwwvXeMwW5gr0ZbFgVYVzHOkqUSZ90WZvbSePSNXIzNIEHt1B6jjulgmnSxgtus46B2ny8WHotGo9y8eZOhoSE6OjpecN8Xszs5lHYCLoIg3Da45HI5PvzhD5PNZvnGN76BzWZ7DUb65rU3LcAoinLbK59mgFEqjQnm6WsrvO2ePjLHOpK1yv72Fis7qhWwXifeEsqKxfNs7x7T3e0kJ5ysnRsWcOtIxBoThM2iY2u32jt+ZvyA8+cC5JoUjjtaLJoiTafdwOpmnEpF4SCY5sKoH6WpIdlQj4sZVQGmJMLqVpxEsoDdqufSkAdREtlR0bRb/RZWmryg2FGO5Y04na02nB4TkiwyqTqvySCxuK4V1RSEqoKAySBxacCN3iDx9FwD/KwmmcVNLTGiWEtGb+4n2dxPcnnER8lpwOMyETnO47AZmFaBR3eLVZO/8TqNzKkA1WnVM7cRp1CqsHWYxm03kMw21LF9dpmVjTg2vYDVJNMZsJAtifg7HQhileWVVPWLMZt1jLXbSaVSCEoFWTIy4FBIZYt0BixcX48TUo3tpE7mTKedWRW4HqYaIbl+v7XeVtlhlFmKpBl1mRCKFY6TeRZr4NPiNNap5oNeMyu1nIvTIGJQJJ7erJ5jT3XuZLn6DnVZDRylyw0tM1VCcNjx/CvscDjMzMwMp06dek0kTO6UUFq5XK4LdF66dOm2wCWfz/ORj3yEWCzGo48++rKbHf5zsDuOpvxSQmTAK/JimgHGbtdShQvZLEIpSX8t9OJ2auOpnW02jQqAxSzXvZOtrTixvQQ+lx3NrTQx4zrazFRUnNv1tRiHm3EuDLrrf2tu9tXbYdces3HEztpRFTRq12oW1hzuc9ULSI9TBaamgyRjWc72N67T5tWuaFt9ZpZrBY87B0lmZkPI5Qrn+1316/S1m8mqQltOm5751epEn82XmZwPkzjKMdRi5UJ/tSD0VI9TU2Ta3WrTFIcadCIr2wk295OMz4XY2kkglMpc7HNyrteJ1Sjjsmsnne4mrbWBDrumcLKvzVYHF4DOViflCiRzCgdHRQ6jKWbWj5hYiTKxEmV244gbS1FuLEXZC2f4zkyQiZUYywcFzFYbs9vHrB4kOYzniKqEPvtaLJoiTFFF1uj1WdhRhdmOi9Xn1m7Vc7HFhk+Bua04O0eZes4GIF5sPF+HqeqlnPdYGDSbuL5bfd86HQYiuROqs8B2Ms+gw8RmKF9nnwFE8o2xnnI+d/4lFAoxPT3NmTNnXhd9rJdS4Lm2tnbbWmnPZyfgUqlUuHjx4m2BS7FY5Kd+6qfY3d3lG9/4Bi6X61Ub31vJ3pQeDFRfktstXtrc1q6i8wXt5F8oljgMJYhEk1y9axixCfQcTR0cO9vtzC+rVuoWPU99d51Tw36OCwLBSIZjbY6dXFYb9untdDAzFyZ2dMjIsIdMBVabvIpmra/+bidTMyGOJg/p7rBjcRlZaiIN6JqkYYb7XCwsVz2C/h4HOqN8S9Fpm9fMgYoR19li5cZ0dZ3e4jPjcslEY9obGuh0cEPlrXQELCyqQl12qw6dUq3wX69Jubjthno9D8BIn4vJpUZgsa/Dzk1VewKv00gqkWOs30WuVCEYz2kASicLrKk8S50k1HvcAFiNMgsqUdFWj4kdlVfZ49GxEWt4s36XngOVdEtYVRfT47doWGsuqwFqdUc2k8yCqjWA266vh7eGPGackkiPXmbrIIVdJ9VbMvf5rUzWPBaXSWZNVWRaUhSGzXom14+41O2s/73NpicUq4JHn9OEySByYztFwKIjWqvgt+slgtnq2C84bXQ/R4L/8PCQubk5zp49i9/vv+Xz19peKJS2tbX1qoXSTvrWlMtlLl26dFtzSKlU4md+5mdYW1vjW9/6Fh6P57bG8s/B7jgP5sVMFEUEQbhtqnIqlWJ1Q5vwDke0k2WkJiJZKlf47rUFBLJ4VZX+zRpmuqaamY7Wahx2cSlE7DDK3ed8BJsYZamM9geSSjYmwoWlKA6DyPkBF3KteNJikllpqrtRC1lu7R6jqygMt9to8VTHajJKt9Tq6FUr67XNBFJZwW/V0d9eHfNzUaf9noaHcxjOEI9lyCfh8pAHh1WPKMB2U+dLv0s7iXW22Hh68pCNjQRdThNXT3sJRrUgG20iHqilWAB62mys7iQYnwsztxSl223CaZC52OviUr+bK6d8pFXhrdE+F3FV+Gi420FG5XW1ebUSOEZVclaWYFkFTv0tZo0KgEfl1Rp0IksqQB5ss9dbKQcsOmQFxrxmfAo4ZZHrqzG2ohkcJpllFZ28qPI+e3wWKgq4DRLf57MwvRlnofaMd1UMuJIq9OXWyzy9maRYUWhVLYK6a17fGYeFWKp8y4Jpf3+f+fl5zp8//4aAy3PZSSjt/Pnz3HvvvXUV41dS4HnScbNUKt02uJTLZT7+8Y8zNzfHN7/5zTvmed2p9qbzYOD2mWSRSIRnn50gcdyYhIxGiXC0MfnrdCIHh+oEuML1yQ0EUeT8SD8352OavAhANKb1APQq0cNctkQ6maanTU9J0bOzn6KtxcK+JoejENfO6aRTSVY2UrS1WHF4rBgMMtOqZP5zAU6pWGFuKYJOJ3L5jB90EjdmGtw2k1FiqakZmSyJTC9Uzzs67MHmNHJt8lBzL8tNzcB8HjvTi1Fu3Axi0Eu8/VILm+r+LSZZ470AVFRhrJ3DFAGvmcO9JINdDux2AxUBJlXeisdhZE41Vp0saCVrBDiMZtkLZ9it5Tp6Wm2UMyXavWY8TiNmvcT5XhepXJFwPMeuStnAqK/W8ZxYu9fMomq7yy2xHmssJMrlxkSml0WWVIB6utPBwsEx3S4jTpMOiwCjLhN70QxevcyzqtyVNa0Oq1mZqL0HZr3Esio8JokCV1xmZncS5Mz6ehiwzW5gr3YOUYDtZB6bTqJDL7ObKNQhSq04bTFIDOnMXNtM8WPDPs33srOzw8rKChcuXMDtdnMn2kthpZ3kbZ6PlVapVLh58yaFQuEVgcsv/uIvcv36dR5//HFaWlpejdt7S9sdBzAvJXF/O0yyra0tlpeXsTk6UJSl+t9b/VZWN1V6Vy121rbCmu2dg+pk+d1n57g61s/BvloiRiEWb5Lab5LRVxSFpZUQsixy+WIPoiRrAKanw8HmVmPyFAU4CFVDKvuHKfYPU1y+4MXvNhKqhXT6u51MqxPoFh3LtaR7sVhhfOqQi2f8jA17mV6LUiwpDPe6mJrVHrO42pjU55aijA55OdPlpKBUWNk55nS/m5sqmrHVLGvCcPlCmUgky/ZmgqFeJ0aLHp1eYny2Ue3f7rewqAIpSaw2e1MUWK3d9+igmwG/FafTwEEsS6vfwo35RnhqtN+tCZ+N9LqYVwljDnY56kWhe6E0FpOsIQec6XexcZCi02HEatbR4jFVe8wI1b6eNqset9VAoVgklcliMxsYNkgIgCyLiJLAqKFMpVRCEotk8gVabRKlioSSLVI8LrCdKFDxmrmpGldPW8NjbHcb2VR5QTkV6A4GrNwMp+m0GWg1SMxvxknVvK2CystqdValZAB6XUaMBpFIJMd8JIdobXh8EZUgpk4UeHY7Q0lROK3yRre2tlhfX+fSpUs4nU7eDHY7obQTz+UEXG5HuqVSqfDII4/wxBNP8E//9E+0t7e/Bnf31rM7DmBeir2cav5KpcLi4iKHh4dcvnyZZye14TF7U9LY6TTCVmPb67XUAQYglUoSTcQY6GllbStPe6uNbVVrXqtFx/au1h3ZrX1eKlV4+vo6d1/u4Mywm7ml6gTocZk0ANPf62RpTcUEk2B6LkyppNDfa2UvqlBskqUZ6K3mY07MYdMzPReiXFbwec2099lvIQ0M9bqYVHk4bqeRhZUo5drEN9zvwtAU6h7udWnAI+A1s1DzNE6IAad6XYwNe9iPZTkIZwh4tfUzZwY8TKu8lYDXxPzaUZXAsF31VsyiyNiAh1ypzOr+MbFjrdJCM0/P1DRQY5N+m6JAJleqkwwy+XK986hBJ6IzSHVdszaPgZurjQXA2LCH8WVVlX+3k/XQMVDGYRbZOsrXPQefU19P6Bt0Issqz67VbWY3VSuuNEos1zxhWQSnQea0Wcfi7jGODnsdXCRRYP2oAUonYCMLAl1mPU+uH1GqKAz7LSzX8iw2vch+uupxdVsNTO6lydbCuiPuahhwY2ODzc1NLl269KZmP70YK83tdpPP56lUKly5cuW2weXf//t/zze+8Q0ef/xxuru7X4M7eWvamy4HAy/dgzmR3I7FYtx99904HA529w/p73XW95GblIubc4d6XfPEJZFM5Zic36C9TaCjXctA625ierUGrJoQnCQJTM3uMT61ynCfmdaA5ZYiTptN+yMY6veQy1colRWWVpMYhQK5TAJBFX/P524lAJwARTiSYXcrTjqW4fyQu85uOz7WCl32djrqxwAkjnNcv3FIm0PmwpAHSRIINeVNOlqsmjzGcK+TxbUY4zeDHOwcc6bbgaRoASDXRFboCFg1z+zMoIfV7QQTsyHmF6P0eS2YqMq5DHU66Gm1sqCiO/ucBuZVITmv08i8ymNq85pZUJEBBjvtmrbWI32uOrgAtDS1SwjFG99Pi9uoyc0Mdrk1vL01VXh1oNWiact8qJJqGWixMuQ2Mea1YC9WGF+NslgLuxlVwquDAQvpWlGtJAqsJXIMuox0iBBO5OudNh2WxjvT4zSiAIMOE/lkmWjt3vSiQJ/TwOrqKltbW1y+fPlNDS7N1sxKu3LlCtlslnQ6TTqdZmJi4mWz0iqVCp/+9Kf52te+xje/+U36+vpe47uAJ554gve///20tbUhCAJf+9rXXvSYxx9/nEuXLmEwGBgYGOCLX/ziaz7Ol2J3HMC8lBDZS8nBpNNprl27hiiKXL16FaPRSLlcZnphk+vTz3D2jA2TUSZXKGqOyzQpJKcy2sk/Eo3X/72wskc8EeLCWRfmWkLa2KTK3BLQ1hz097jI1BLRN+d2iR9FMJtLmM2NCbiZEGBsWp23tzpZWUvitQv0dRgwGwWW1qKafZJNwo/dnXZ295PcvHlIu9PA3ef8rDdV6geblAesxuozPgjmuDkdZLTLid9pxF6bzGRJuOUchibpGINO4vrkAUq+xIUBF1fOeFlTMbkMevEWJYLmvjx6ncTSRpzxmRArKzF8VgODASuXB92c7XPR3+HQUJV72m2a7VafNplvNmkBPJJogKZBp83N9LfZ2FF9Hx1+LaAeqJheQx12VKQzUiqmYLvLQCZX5GKrlYs+C5VsicWNOJMbR7S6zaRV5INtFaXZqiI6DHhMnLYZWFs/YjeaYTPeuHZGBdBWvcSI08ziZhKHqnncgMvE5toae3t7XL58+S1dFKgoCpubmwiCwDve8Q7e9a530dnZSSqV4saNG3znO99hYWGBcDj8vHOJoij89m//Nn/+53/ON7/5TYaGhl6XsafTac6fP8/nP//5l7T/xsYG999/P+9+97uZmprik5/8JD/7sz/LN77xjdd4pC9ub9oQ2QsBTDQaZWpqivb2doaGhqhUKvX9t3ajVCoK//TUdTrafOh1ds2xwbA2Yb9/oJ1A48daANoPJtg72MbrtnH+TA+JhFYks9xU/2Jvojh3dTh4enwTl8PE2TOtRKJFdva0JIPNprqdEzsIpjkIpvm+uzsJR3Osb1cnQrtVZLUpMR9WJZB395ME/GZanHr8ARuzy1F6Oh2sbTTuVUAhmtCu8kQRJiYPMRgkLg17MZhkrt1shNhcDgPzK1oSQbQ2WebyZabmwlw848cqSfT1O8gWK5jNOiZU5IX+Ljtr24379ziNzKlyKWajxPxarB7u08kCZoset1GmxWfGYtYhKtDTYuWglgtbUhXJOqx6Te6m3WNgJ9yY0E/3uJhUFZDaVY3DBAG2VRX4A+02VlWgbFFN5lajhKwzcc4PxXwBoZJjL1QhFspg0ouUVfRxk2pR0uU1s6VivoWyRYyyyFmPGbmi8HQtHNnrtbBa208QYFNV82IUBJ5Zq4pi6lSA3yYVCQZjXL58+S0tZ1KpVJidnSWdTjM2NlZXNH4pBZ4ejweTyYSiKHzmM5/hf/7P/8m3vvUtTp8+/bqN/4d/+If54R/+4Ze8/xe+8AV6e3v5/d//fQBOnz7Nk08+yX/+z/+Z9773va/VMF+S3ZEAIwjCC7qwLwQw29vbLC0tcfr0adrb2ymXy1QqlTq9eXOnkds4CEYIhiJcPDtMKqknlS4SjjZCJ163mVC0MTm5nSYiKsaY025irwZAkViSZGqe/p4Ag32uOsNrezeuGd9RQhuWkmohuqNElmcn1vm+q904bA7ml6vn7et2srqhYlPpRFbWtd5KLJZhaSXM6SEfFUXGbjUwNdOYtP1evUZyBhS2dxOEIhn2DpIEfBY6AhZ295L1mqDhASeLK42xW8wyiyvV6+bzZSang5zqdzPYYsNi0zO3EaO/08GN6QbgDPY4NQoBFpPM0mqMTK7EZC1fNDLo5sKAm2JFYWUngbWpzUBPu43xucYzO9Xv1gDSyICnXitzdJzn/LCXm8vVcwsC3HUuQDxZxBSwIskCVrOeg6Ms6VyJo+McRoN2AZBUFSSa9JJGNflUl4OF3cb377LpaSuUsZtkTDoJnQLnW63EkwV8TiPjqrBde4uVExHMVqfIugq8t1SkEL/DWAcYn0WH3yiTCmUYD0UY7GoshlxWPdT263Gb2CyUkEWBi3Yj11bjdfHPpKpY069kuHz5MibTiwtdvllNURTm5uZIpVJcvnz5OeXyX4iV9hu/8RtMT0/j8XiYmZnh8ccf5+zZs2/Anbx0u3btGvfdd5/mb+9973v55Cc/+cYMSGV3JMC8mMmyfEuSv1KpsLS0xP7+PmNjY7hcrlvApVAscRCM149pb3GxvRfh2cl5DHqZ+955F+NT+XoIqyVg1QBMR5tDAzBdHU7i840VbF+3h7mlXQAun+9HlkzcnDuof2616Fjf0oJDMwDFjjLMLR4yPOBHpzPhaGpiNtTvYW6hMYnbbQaWa+GxhVqx5z2XO+jttrKxVQVLr8dIULVK7+mysrHduI+jeJZnb+wgotDfYSQcB1nSvhrDfS4mVCSC1oCFpdVYPVzksOvRKdDZamWnlkuwNNWxDPe7NecY6HZqPJ4WnxmlUOLisIfdYJqjZP4W5Wh1QzRoaKidWEbFnlIUCEazbJwUkgrQ4rNwWPPm9DIclmSsgoDZKNPut5DMlRj2WRBFAb/bRDiRo1JRqFQUXAaZdouObL5EvlhmcTVGMltiHzjb72JS5WlZVa0POrxmdlTjttntkKgCV4td4kClCBDNFvBadPTajciKwtM1kVKTXmJddY6MKgTotRnIZATshTKhaLae0JcE2FFJ+r/nwql/FuCSTCY1nssLWTMrrb29nUceeYR/+Id/QK/X84EPfIAHHniAn/iJn+Ad73jH63AXL98ODw8JBLRq8IFAoN7i+o38zu+4HMxLsWYP5qTFaTQa5Z577sHpdN4CLgBbO1FNMtnjaoQJ8oUS0aMQxXKIS+f8yLJIsaidzAxNzCSTUTuB2lVgcOPmGhUlwfmzbtw1aY7ebpcmid7V7tAQAEwmmZX1KkgsrYaYXdhCUTL0dDVi5XqdNkc10OuipNIja2ux8d1nN1lc2WOgz0h/j41wRJvTkCWtdzjQ5yCVLpJKl1heS6EXK8hCmfaWxvOJNRVBtjXlItpbbTx9fZ/djQT9LVaunPGxtdcEDhEtQcBi0T6/9hYr0/MRJm8GCR+muHLKS1+LlTN9LiwmmeFeJzuq5HxPu01TG9PVatX0r+ntsDXABTjd46yDC8BIv5t0tkQqUyQUyyJKIqs7xyxvJ1jcjHMYzbCwEWdpK8F+OM3EcpT9SIajZIH+dkeV5lwztdKxw6LTEAFaVFI8OllkRaUU3eGvJtkFFPpsIkoyydF+kvGFMMls45n3BSz1hL4ooMm/WCSBXCjN6kEKj63BiuxwGjVgczbg5K1qiqIwPz9PIpFgbGzstnTMFEXh61//Ok888QTf/va3icVi/K//9b/Q6/VMTEy8BqN+69sd6cG8lBBZsVhd9WUyGcbHxzGZTNx1110aAoAaXABNeAzA2AQQiqIQPTrm8WvX8XvsGA1WRFGog1IqrQ1vJZu2U2ntJJwvlJicWcBs0nPp3NAt8hYBn5Wt3UYYZbDXw9Tsfn27tcXGd69vAHD+TDv5vMRaU24lm9fmhFoDFnb3q/vMLQYZHvBgtQq4XA6WVhIYDBJ7Qe04E4mm5mRtNm5M7SMIcHrIh8Nh5vrUISfUYEkSWG9KzKurw9c3EzjtBjLRLGcHPSCLlBSFBZW34rDpWViJqo6/tRdOJJath9gkUcDT72JsyEO+XGEnlMblMLKpKnj0ukwadljV+2tsy02yOclMAyAkSWRNBQptXjPLqtzNULdT46EoqlOZDZKWGNBu18j/H6pYgkPtNuZqYxRQkICxgJX1/WMcRiNTtWsKAmyoCkNFsbGIOMm/2A0SgxY9M2tHHNfATlEBnUkocvKdXfBZMchvyvXki9oJuMTj8VcELl/84hf5rd/6Lb7+9a/ztre9DYAf/MEf5Ad/8Adf7SG/qtbS0kIwGNT8LRgMYrfb33CP9U35xp3UwcRiMa5du4bX662L1p2AiyAItzDStpoAptykRHycbPygQ9FjVja38XrKnBsJVBO8KjAQRdjYjj7vNsDmTnU7ky3w5DOzHIQOGDsfqIeOkk2A1DwBdrQ2Yu435/YQxRytrTLdnVUard1mYHlVe83DkHaStlj0LKyEmJ7fpr1N4spFHzlVGMlmkdg71Ho4m9vV56QoML8UppDL4XNKXDzjxm7VMTLo0fSTcbuMGrAAhYPDFIVihdn5MLPTQSySwMVBN2cG3EiSwECPs97TBmBk0ENINaF2tds0+RuHw8AzU4eMTweZnQtTzhSJhNKc76vW3JzqcbClAiirSdYUd7rseo3qcnerlTUVKIz0u4ir2Gutfm0SPJ1vgJHNLGuIA8PdznqTNkBDTW73mtlReU12s45LbTbOe810G3U8MxtiYiVKPF0EFTj0+C2o8I9QqrGYMckVzntNyPEcB+E0MZU8Tkj1b8TqwuiU00SPcGd3lLxdUxSFhYUFjo6OGBsbu61GX4qi8Kd/+qd86lOf4mtf+xrvfOc7X4ORvnZ2zz338Nhjj2n+9uijj3LPPfe8QSNq2JsWYE76hA8ODnLq1CkURXlez+XEmj2YRFIbAtvZb0ySNpuRg2Cctc19vnt9nIE+A/09LsTaJNDT4Sar+jH3dLpJZxoTVHeHi6O4Knnrs7G0esh3npmjWE5w5WKA/UNtCGlzR+udJJv61pvNeqZmd1lc22Fo0MzoiFsTHutqt7OjKvqUJYGV9cY9r2/FOAzHcTpg9JQdnQ66OmyaUFdft5NIrKg6BywshzgIprg+sUs6mcJmERnsdWiOUYf+Tg14OFAVVjodBqbnwkzNhJifDWEVBXQVhbMDbgz66itYrmg9Vm+Tlllvh11zjaE+Fzv7SW7Ohxm/GcQsScSCKQIWPaNdDi6f8jLc6aCvzYbVKOO1awWtm8+vXmsIAmypPKGA28iKCowGu5waxea86t8um56VGtDZTTJ9AQuXOx2cD1hpkUWWVmJMLkSYXjvSqnQLsKliqLkdjc+cZplg7VXtsusoJ7LMLFZBSX0Km1FmT+UtlQ0mzrrNrCzF6PNoFbPfCqYoCouLi8RiVWbc7YLLl7/8ZR555BG+/OUv8/3f//2vwUhfnqVSKaamppiamgKqNOSpqSm2t7cB+LVf+zU++tGP1vf/+Mc/zvr6Or/6q7/K4uIif/iHf8hf/uVf8su//MtvxPA1dseGyJ7PFEUhHA7XWSJut/s58y3PZc0Ac6hK+LucJo5Uce3OVjdzx3v1bVGo8OSzE/R2tdDR1o5OllnfbpzP67awttnY9nmtbGw32E5d7S6C4eokFU9kODqOk8kdMXa+h5X1OB6XWXO83WZgeb1xPChsqjykm3N7nDlVoq/HiE42srQax+c1s7nTCOOcGvIxs9DQFXM5TCyuVKv7D0NJrBYdVquM120kUpOgcTq04YXTQ15m5huJebNJ4jvXNlEU6Giz0xqwE22SxlFrsQH09zgZV9GZ29tsPDNeJT8YDRJ3jfoolaudLGOJPGaTzKJKh0wUYKtJ8bk52R9L5KpJ/UiGYCRDd4ddc0zWYKTXbcJm0WMwSkjAxQE3+WKFCgrx4xwOi45MvsRgp4N5lbJCR4uNoMpjS+VKVeaYXsZh0SEpCpe6nUhCldiwH8kQOsqRiGTZNerYqIHVYIddk38pqACzr8XKusqDS6rqYrr9FhzFCraKwsJmHKOK6q4O1XnNAif4IosCLp3M+GyYigKn/G8tWvIJuESj0dv2XAC+9rWv8Qu/8At86Utf4od+6Ide5VHent24cYN3v/vd9e1HHnkEgJ/8yZ/ki1/8IgcHB3WwAejt7eXv/u7v+OVf/mX+y3/5L3R0dPA//sf/eMMpynCHAszzWalU4ubNm6RSKSwWy8sCF4DNncaE7XKaOYo3fuxuu1EDMHabdsV3Er7a2D5kY/uQe992hrHzbcwvhcnmihSKWtp0sdjEcmvKKZkMOo6TWZ58dgGL2cCl8z6O4ilitbqRgV4P49O79f0H+rysrDXGb7MZWFoJ1nudDPR6EcQyothYqUtNKgX9vW5uTDVA0++z8sS1NSRJ4OzpNsplkaWmkFuxSTm6vc3KUaI6+e/uH2PQK2zsHDMyHECSdITCOeaXtefYa1JaVgsx5vJlKiWFyZtBBKGqJtDT42AvlGZt95hyWWFkyMOsSodssNfJigoA+rocmoLP/i4Ha6oQVm+HmY29DFB9tudPe7mh0mQbG/WxpJKCMQLmSgVJEpElgaNIBpsoUC4rOO16Vmutj5NAx4iPCVU75+FeJyu1a/tdxjq4QK3NQw1nDTqRFbWkv81QBxiTXmKtVtw5HLBgFwSm12KgQE/AyoaK6p5FB9RkZSgDMgIKZ8wKN2bCdZWBUwGtOsGb2RRFYWlpiUgk8opo11//+tf5uZ/7Of7P//k/PPDAA6/yKG/f7r333hfMQT9Xlf69997L5OTkaziq27M3TYgsk8nw9NNPU6lUGB4eBqh3tnwp4FKpVNjebUwErX6n5nOvV6sk21xnk0hqV+mrmwd8+9oExVKMyxdaiTcVWG5sa72lk3zMie0exOv/TmfyrG0cEImHOT/qprXFekuBptuh/REN9no1k7+iVPjO04s4HQoXz3lxOQ0sroY1x6g9Nqh6NNV7VZia3UOSSjjsChdGPRiNEi1+C0srjfsQBDR0ZwCFMuWywsz8IVMzO7S1SIwM2xnoswMKp4fcHKqKEb1uIwsqsJBlgdVa4aOiwOZ2go31OCuLUYxlhTPdTjxWAz1ttrrEjbmJ/tzcn8dm03phzYuFfBNoHqhCU2ajxPz6Edl8mVSmiNtpYn33mGS6SCZXotVbldE/sbSqgZrTpmdV5TV1tmgndXXV/0C7XZO3iavCrQMtVs632ejWy6wsRlnfT3KCFB6Vdp7NKGuq/kuyDqdR5pReopxT6uDiMQocBfdIp7VKDW9GUxSF5eVlwuHwKwKXf/iHf+BjH/sYf/Inf8LDDz/8Ko/ye3ZidyTANIPF0dER165dw+12c+nSJUwmE5lMhvn5eaLR6EvSFdoPxjVehqlJ0qXZw4ioGmoJAmyqwl1Ou5nd/eqKN36cZnVjk+X1Jc6P+ujpdNPd4dIATneHm2is8eNua3GwpwIYp93EykaIQqHEMxNr7AcPqChZBnobXfJ2mxQFik0ek9ddncwOQsc8Pb5GZ4eRkSEnfm/1B+j3GNk9aIxBloRb+uIUCmU2tmM8O7lJpZJheMCu0Vo7PeTTUI1dTiNbu1rgXduIMH5zj4XlA5wOBY9bR3dng2bd3eXQ5FtGhn0kVHmD/h5nvSg0ky0RjWb4zlM7bK3HsYpiVUEAgeFuBwa9WG0NsNbIXVlMskYh2mbV1cU4AfxeE0uqSv6BLgf7KgAc7nOTVyXpHU1iqBGV9+B2GFhR0aT72u2aeztW0ZjbfWb2VCEwg+r9s5tl9o9ynOuwcz5gwVRSmJwJsRNM4XEY2FeBSEF1/i6fWaODZjOb0B9lWdo+xmhuTLxDXlOdEPPUU0+xsrJCPB5/VbtEvh6mKAorKysEg0HGxsZuG1y+9a1v8dGPfpQ/+qM/4kMf+tCrPMrvmdru+BDZ3t4e8/PzDA0N0dXVRblcxmq1cvHixbrUQ6lUwufz4ff78Xg8z9ntLp3J4/PYCEerK8x0Whu2OYqresLIEjt7jUmqu8PLxnYjD9HT5WNqtiG53NbiYmc/ynefnQHgvfdexGZtY3bxgEpFIeC3s6nynjpaXewfqtWTvdyYapxvqM/PsxPrAJwaaCEQ8PDseCNcZjHrWVjR0hK3drUSLfl8ien5bSRJoK/LidOmJxRVSaIM+ZmebxSB+jwWFlYa95jOFJie3ycYTjHY58VhtyAKTbmVXhfXJ/dU5/SysNwArVyuwLefWqdSgYDPTFeHm3xeGzrM5rQ0a5tV6410tNsJRqoTcypdRFTgei1/I0kCV660VRWSRYF4qoDZJDC7qkrI97iYmGvcV2ebndCRKtTYdD21RyJJgoZp1hmwsKUK9/W22xlXhQPV7DGXTa/pptnqMbOnAortaIY2l5FWuxGbXuKZhTAzNWJER3sDkDt9FiIqde5tVe7JUNOo04twpcXKM3PhOsDFVOB2scfHpUs9lEolotEo4XCYyclJRFHE6/Xi9/tfUZfI18MURWF1dbWuim423x5p4YknnuDDH/4wn/vc5/iJn/iJl6R9+D27fbtjAebEFd7Z2eHixYt4PJ56SEwQBNxuN263m6GhIY6PjwmFQiwvL1MoFOo/Gq/XW28sNNzfytS3/t/8zd8/xf/9xgTxZBmoToaCQN0jAejq8LC60ZjA/V67BmDMpheuEI7E4oxPb9DZ5qWvu4Nik+pAoSk/ozQxqEzGxvkXVw9xOow47BV6u1pYWj1iuN/H+PROfZ/BXi8rG43x2W1GFparyf1yWWFl44gWf5H2Vj0+r5PF5RjNv6ueLichVWfP00N+5peq51xZj+B0pKmUy5w94yebrbC6HmfvQMuC0+ubqv8HA9yYqtb1BMMZDPoK23s5PC4jPV0eJEnH9Jyq14xFp6E7S5LA+pbWcztUCU+Wywp7B0k2VfmWFr+eNocer8eC3iChkwW622wEoxnyxUpdZQBOhDYb3o/fY2JFJcQ53OtiTuXtBLxmdlThtGOVMKrDqtMwzXrb7Yyr6mbShRKDAQsOg4xBL7Kyl+QwluOQBBdOecjVkvoeh0HTGE1Q5dE6PCZ2VA3LgokUA3aJdKRIJlmsg4tOFustA6CRf5FlmUAgQCAQoFKpEI/HCYfDLC0tkc/n8Xg8+Hw+fD7fS6qCf73sBFz29/dfEbg89dRTfOhDH+L3fu/3+NjHPvY9cHkd7I4EmHK5zOTkJKlUirvvvhuLxaIBF/WLIQgCDocDh8PBwMAAqVSKUCjE+vo6c3NzuN1uAoEAHo+HlZUVvA6Fz/3uT2Oz2Zic2eLvvjnFjZsbPH1jtX5Oj8uqAZjm9zCZ0uYhDoJaevF6DYx29iPsB6M4HVYunu3iOFliayfGynoDDERRYHVTmyvZ2m1q6RxNcRBMcBBMYDHrsdkCdLbZ2dmvTmgulwk2GvsP9fu4MaUCoD4fy2vV+1nfitDWYkeWS7S32tg7qHp0+4dalpahCSwGet1cn9zhxlSVvXLlQmetHqlMKJLBaTfWAenEdve1AGQxW4Ac0aMc0aM9hvttiGKOwX4PelmP0aTn2fEG621k2MuMqtnZUL+LZVU4rKfLwaYqROXz6DgMF4EiB8EMvd0ONlTCmRdGfaSyRVp7neh0EhabnlgiT65QJpUt0tVuI6wKgUlNdUl7KnDxuYwaD6W/w85uOIPNpMOsl7DpRC53O8jmShQKZVaXonWF58sjPsIxlTejOm9nwEpURVhQh8d8rgbAuAwKlqLCynp1DO0q1e5Oj5k1lWDm6edI8IuiqFmkpdNpQqEQu7u7LCws4HA46mDzRgpjKorC2tpaHVxudyzXr1/ngx/8IL/zO7/Dz//8z38PXF4nuyMBJhwOUyqVuHr1Kjqd7iUzxQRBwGazYbPZ6O/vr/9otra2mJubQ5Ik+vr66pW+F892c/FstXnQwvIeX390ir/75pRG9gO04TNBQOPNuF0WtlXhtN4un4aePNjXxuLKHk/F5gB4x90jKIqOucVDcvkSg31+Flcaoaq+Li9rW43z+302VlXeiaLA408tkM+XOHu6A4PeyHZTeOy4qb7H6dBSONtbnVy7UQ3BnR5qIeBz8sx4Q0HAZtUzv6QNwYWaVKbLlQrXp3YQBBge8NPV7ubG1CHFWuJ6ZMjH/HLjOfi8Zk27Zr1OZO8wRyZbYma+eq22FjMdbXq8HhvpdElT4wO35s3cLgObjcgh7a1OwrEGIFXvuwECCtQJBQCnBj0sqLwMoVyBbAmzQcblNBIPZehyGJElAa/HxNFxgX6PGUVRaGu1Iu8ck8uXyOZK5I4LhPaShKjlgZQGA+/CKS+lcsNzSqg8n66AhS015Vr17vmdRg5VgFcBWu16zLkspRysqPJh8ayWbHAihGk3yrQ7X5jCq9bj6uvrI5fLEYlECIVCrK6uYjab62DjcDhe18l5fX2dvb09xsbGbhtcJicneeihh/j0pz/NJz7xie+By+todyTAtLa24na7X1Lx5AuZxWLB7/ezt7eHx+PB5XLVfzROpxO/34/f78doNHJ6qJ3TQ+38yi/cz/pWiK//4xR/9+gkc0t7GnpzT6cWQLo7vERVApgBv0Pzudup/VGUygWeuj6Lw27m8vkBTGYTiyuNz30+qwZgejo9BEONFe3poVbGb1bzNTMLuwwPBMjm04xdaGVzK0Glgqa4UhKFur7ZiR2rpN0Xlg+xmHXodXnOjrQSieQJ+O0aOnN/r4fVdW3eYm6xCgqKAosrIVLpPMl0itNDAfQ6HaKojed3dzo1BIGRYT9Tsw1vpafLxuZ2EsiwsR3H6zaQyZYZ6ndjMRtJZ8osqcDAaJBYUnkzep3I2lYDTAx6kZVbkv+N4z0uE0sqOZfeLgcbNY8kkysx6DJxc7HxHN0uI6uqpmWSTqrrmlnNMsuqzwa6HNxUXbusSqZbTXKVFVYzn9ukAZgdVUO3Np+ZYM1D6/NZEDMFQusJFAXGTnnZTlWvIUsiO0fPDVLDt1H/YjQa6ejooKOjQ5O3mZqaQhCE1y1vs76+zs7ODpcvX8ZqvT2a9czMDB/4wAf41V/9VR555JHvgcvrbHckwKj7t0AVXG7HYrEYN2/epKOjg4GBAQRBoLe3l1wuRygUqudt7HY7fr+fQCCAyWSir9vPv/lX7+Hf/Kv3sLsf4+++OcnX/3GS61PrBHxaAGkOJRWbujUmjrUsq3BNnTlxnOGJZ6YZ6A3Q12PGYbMzvxwhGtOSD9JNcjLN5nSYWVw9IBg+RpJEzo8E8HpcrKzHAIGR4Ram5xtg0Raws7TaADCdTmJpNchxMscz41WvJuA3cPGcn+XVGOlMCWcTk+rUoJ/rkw3XYbjfW2/xPD23j8tppFAsMzLsRZJ0rG8m2FLlNuDW5L7LYWUT1cTrMbKwkmBusTrWC2f8KJUcw/0uzGYDJqPMdVXx5ukhLzdVMv7Dgx6m5xsAMdjvYkr1eXennYhK2dnlNLDReEza+h8BtvYb34vPbWJNlXjv73Iypa79UU3wOlnUEAX6OxzcVEnWpFXvS4ffzK6qNbROFhnrcnAUSpPaT7Kh6lpaUoFWp9/MuoqJd6TyZs62vrKmYm9U3mZjY4Pt7e1XBC7z8/M88MAD/OIv/iKf+tSnvgcub4DdkQDzMz/zM6ytrfHQQw/xgQ98gPb29pf9cuzu7rK0tMSpU6dob2/XfGY0Gunq6qKrq4tCoVAHm9XVVaxWax1sLBYLHW1ufv6jP8DPf/QHCIYTPP7dBXQ6iWs3ViiVKkSPtICwrgqfmUx6VtYbq3S306LJ7fg8ds12T4cXm02gt8vFxvYRdpuJxdVG+MyglzThNICNrcakWS5XSKbKrGxs0t7iorvTh65Jdr+zw8V+sDHhnRluYXKmka/panfx1PUq0BgNMhfPdlIsFhAE6pIy0SMtaFqsWgAa6PXy7OQ2k7PVGfvCaCuKItLa4mF98xiH3agp6Kwm9xv3IYoQjjY1djs8Jp0p1gGnvcVIIZuns8OBx23BapHoarOyd5iiXIFCQRteSzV1KlXrnkmSwIa6KZlNz5IKBAa6nVrV5nYb4QWVJIuKpCE1AcpAt4MFFVFBVCXtDTqRNZU3E/CYSZYU+vwWytkSO2tHBGveTU9ARl2CdKDKzbjsBk5K+GVJYCeRq/aG8ZoZsLx6k/5z5W3C4fCrnrfZ2Nhga2uLsbGx2waXpaUlHnjgAX72Z3+W3/qt3/oeuLxBdkcCzO/8zu/wla98hb/6q7/iU5/6FJcvX+bBBx/kwQcfpLu7+0WlZFZWVtjf3+fixYu43e7n3RdAr9fXwwHFYpFwOEwoFGJjYwOTyVQHG6vVSsDn4Mcfupsff+huYvEU3/jWNH//2BSb22EKxdIt+ZehvhZuzjUkHfp7A0QnGxNKX0+g7tEABPxOnrq+CMBAbwvDfe08O7HFcU2T7PRQG1OzDTAYHmxhcaWRO2nx2+tssr3DI2LxFDpZYuRUAFHQsbAUYnc/rrn/SlNBZ2uLg+296uSay5colUvcmNrC57XR3+1HUSQmZxqgaTHrbsnX7Ae1zK9KhboXJUsi50f78XkNHB5mOAxnGB7wMX6zcR9nhv3MLKj6xvS4WVMJX7qdOvYOqxPs5nacTLZAOFqVitHrJEZP+ZAlhYsjHjK5EqWKwqrq+J5OOxuqxmHD/S7mVSGt/i6npqlZcxfShIrJZTRILKuS8kNdDhZU2yZ1iwcBNlVSMf2ddtaDaU532LHoJeRihdRBiqm9JH63kZBKfNNitUAtF+i26QmqczOq30OXx0xKEHDmy0xMHvKr7xngtbDmPioneZtwOMza2homk+m28jabm5t1cLndls5ra2v1Hi6/8zu/8z1weQPtjgSYjo4OPvnJT/JLv/RLHBwc8Nd//df81V/9Fb/5m7/JuXPn6mBzEvY6sXK5zMzMDOl0mitXrrzsVZROp6u3VS2VSvVE5/Xr19Hr9QQCAfx+P3a7HbfTyod/5G18+EfeRjKV5R8fn2FiZoP/8+UnyWSrE4PZpF3ZN7/mzXIyavry6sYhDpuJ43SMc2d6qJRFdLI23m1v8hx6Or0chlQKwcNtjN/cYnKmmrO5MNqF2agHFPYOjnE5TcwtNjwiURRY39Qy2E7uJRxJEo4kuetSD+1telp8TrZ3k3R3ergxpQqXDXhZVIXgPG6zFoAEmJzZ5ahWiNrd4UJvUBjqd7K2kaBcUWgu/7PbtUnqloCFWDxe37ZZIBQ5eYZldLLIjanGfV2+0IpFVvB7LdjtBlwuM3azrtbVsoBer32ux+nGxC6IApsqtpjXbWJN5c0MdjuZVuV2TE0qA7sqWvVQpx1RlugLWFHKFYw6ieJRlsVIBlEUMFv19dYQbX4roWTjvIl846m0+y1EVWMKqxhj7XYDNxcirKaLSKLAwCsMkb1Ueyl5G5/P97x1agBbW1tsbGy8InDZ3NzkgQce4OGHH+b3fu/3bju8/j17dUxQ3iTlvIqiEIlE6mDzrW99i1OnTtXBxmg08vGPf5xf+ZVf4d5770Wn0734SV+ilctlotEooVCIcDiMJEl1z8bpdGpALpMt8K3vzPL1RydZXjtgZqHhcXjclnpHTJ0sYTDo6j1mjAYdCNSl9I0GHYIgkM0V6vu3t7pob/USDGXY2YvjsOuJq2Lvfd0+1lUhs/NnOrk517j+XZd66nmWU4Ot9HW18PT4NunahDp6uo3ZBVU/moCdg2CiXvGt10kYjbo6SUAQBO653EelIrC+nSAez3PxXBsTKg21uy518uxEYwwXRts0PW/6uz2sb1W9B6tFz+ipFhRE9g5ShMJZTEYZUZDqXUZFERx2I0cnISIB/F4roVrCXaDKLovFi7Uxgt9nIVSjAkuigMNmqreuNholZEnGaJSx2/R43CZKtf0QBIwmmVSmWmNSrii43SZCsSwKCijVc0fjOSRRQBIFzGZdlUmnKBj0EvFkgUQyT+Qox+iwh/GFxvfT0W5np+bR9HVUvZkTOzPgYG6r+q7YzDLJSiNEOTbi5UaNoGAxyqRlgW63GVOmhNUk11s197VY+ZtP38sbaeq8TTgcft68zfb2Nmtra4yNjWG321/krM9tu7u7vPe97+U973kP/+2//bfvgcsdYHekB/NcJggCPp+Pn/u5n+Nf/at/xdHREX/7t3/LV7/6VT7zmc9QqVTo7+/H6XS+6syWE0Dx+/1UKhVisRihUIibN2/WxxUIBHC5XJhNeh54zyUeeM8lCoUS3762wNf/cZLFlT3GZ9br5xwebGNWBT6nB9uZnN1sbA+1MznT2B4ZbmdqdrNOkR4dbkGvN1NRBI6TObra3RpwcdjNzC81JnJJElhebYS2FlcOKBbLpLMJzp7ppFIW0eu0z62r3cX+Yby+PXqqjQlVvqan081T19dq5xc5P9qJJJZx2A11+Rd1+wC4VeLG7TLXASaVLlCpKDw7Wb3v9lY7I0MBguE0O7slMlmFM6f8GnXn04M+TXHmQJ+L1Y3GNdtbDOwdNnJGpwa9zKu00IYHvEzPhUlnikRjWdwuE1MzDY/r4tkAN2cb1xsccLFSozrLssD+XpJ0Lb/T02lnek4lonkuwLzKu1F7Rm6nsQ4uUJXdQQUwe+HGZ12tNmZVIT21BE23z4xRFrl5M4iiQF9fQ15oqP32JupX015K3kan0xGLxV4RuBwcHHD//ffz7ne/mz/8wz/8HrjcIfam/BZOKvl/6qd+ip/5mZ/BYDDwwQ9+kJGREd73vvdx4cIFPv3pTzM+Pn5LjuGV2om8xsjICO985zs5e/YsoigyOzvLE088wdzcHOFwmEqlgl4v84PvOst/+Z2P8vd//u/5q//1CD/94XsJ+BzYLFodJYNB63HpdVrsNzZ9btAbmJhZJ3EcZfS0l6F+HzpVYeCpgRaKpcZkPnqqnaNEY6Lt7fSythkiny9xY2qD1Y09Nnf3GDvfQm93NW/VLNBZKGnBwe9thDHK5QqyBE9dXyEeP2Ko38477+kil2tMqi0+G/PLjcnbaJBZXNFSqHf2G+Cwd3DM6kaI6fk94sljWlpkHA6ZsyMe3E5D7blpn5PNqg2nOR1NNPGilpVXahK+jKoUtUVBYEOVT3E7jaypEvYDva46uEA1fKa2pOozq1lmXZX872rVJq8zKoaY3SwQzzQCC0ZV/Y8kCWyF07Q6jYy127EXK0xNVcFFkgR2VTTn4TsAYNR2krfp7e3l6tWrvP3tb8doNBKJRKhUKszOzt6WTlowGOT+++/n6tWr/PEf//HrKnnz+c9/np6eHoxGI1evXuXZZ5993n2/+MUv1gvFT/673TYDbxZ703gwz2U3b97kIx/5CP/7f//vuiJqKpXi7//+7/nqV7/K/fffj9vt5gMf+AAPPfQQV65ceVVfPvXqbHh4mEQiQTAYZHFxkWKxWNdH83q9SJLEO+8+zTvvPs3/5zc+zI2bG/ztN27wd49OsrMfZX0rqDqvwPK6NjeytLavufZOzbMoFEuM31yju/MYSc5zdqSTdKZ8i9qAJGnXEi1+Bxuq/jinh9p4ZmKdg1qC/p7L/YiChCDAQfCYFp+d+aXGmPQ6icVVbXL/pC9MqVxhbnEfo14mEosy1B/A5bBiNBg4VBVsnhluYWK6cV8jQ37mlxveQqvfwkaN3qwokErl+fZTq/XGY309bipKngtnPRwd5QlHcxp2mtEgsbGT0mxvqsQ5rRZJU1vT1mrVyM4M9rs0tTY93Q4mZtUsQS3oR+IN8LJZdKypwKm308GMqtBUUYVVZVlk40ClwtxqZ267sZ2otbYUBDjf7aBUrDC7ECaowLlT3sb4fRa2m9oz38l2Qgo4oSLfTt4mEonw/ve/n3PnzvHFL37xdQWXL33pSzzyyCN84Qtf4OrVq3z2s5/lve99L0tLS/j9/uc8xm63s7S0VN9+qxMQ3jQ5mOeznZ0dOjs7n/OzTCbDN77xDb761a/yd3/3d1gsFt7//vfz0EMPcc8999R1yl5tUxSFZDJJMBgkFAqRy+XqxWk+n++W607Pb/F//3GC//uPE6xuHDIy3MH8UiOPcWa4ndnFRmhqZKid+WVVIWRPgLXNxmTf4ncgSxI9XS0Ew2liR1mKxRK5fCMv4XU3hD8BhgdaWFKF0K5c6OX6VFV/Zri/hf6eFiamd4nVCvounetkQqWH1tftZX1L3TDNSC5folBoTI4+jw2zSU9rwMlRooBO1rOkailw8Ww7kzON+xrqtbG80RjjXRc7ua4qAL18oV1TEHrlYgfJVAGHzUS5ImA2Gbg+GaznLi6MBrip6gNzetDB4mrj/GfPuJhZjKvGE2BSBSinhj2NYk0B3C4T0VouyOs2EVE1JTs/4uOmqjbm4qiPSVXhpsttIlYDg8FuByuqOptLIz4mamE/nSzS2W7HZZTZ3ozT1WrVCGz6/RZCtTGcP+VlSgVqj/72D9DS1LnzTrHd3V2Wl5e5ePEiLpdL89lLzdvEYjHuv/9++vr6+NKXvvS666ddvXqVK1eu8Ad/8Af1cXd2dtbrbprti1/8Ip/85CeJqwgqb3V7U3swwPOCC4DZbObhhx/m4YcfJpfL8c1vfpO/+qu/4l/+y3+JLMu8//3v5+GHH+btb3/7q0oKEAQBu92O3W5nYGCAdDpNMBhkc3OTubk5PB5PHWz0ej3nRro5N9LN//PJh1lc2eOJawv82V9/l9nFKsiIgjaM47Brwz4Bn0MDMH3dAZ66vszuQXUy/P53jFLIV9jcPiIUTXHmVAezCw0A62x3acDFajHUrw2wtHbIcTJDMJJgZKgdu9VyS3sDr8eqAZjTgy08M7FZ3x493c5Mjaq8uROls91FNlvkwqiPckUkGMpo2GaiAOEjLcvuMKStOUoca720TKaoAazRUy0IQpbOdgdOhxmrVWRowEEkkiMWz1OqaF9/dd8aQRBYVxWH2m16VlS1Mf3dDlZVOmdd7XYiica1m+WG1PmWrlYrWyr9Mb2s/X6P0wXO9bqQFQWhXGFcRZlub2l89w6bvg4u0GiKB2A36+5YcNnb23tecIHnz9vs7e1x/fp1PvOZz/COd7yDb33rW/T29vIXf/EXrzu4FAoFxsfH+bVf+zXNuO+77z6uXbv2vMelUim6u7upVCpcunSJ//gf/yNnzpx5PYb8htibHmBeqhmNRh544AEeeOABisUi//RP/8RXv/pVfvqnf5pyucz999/PQw89xL333lvXKns1TF0voNZHO0lyulyuOoHAYDBwarCdU4Pt/NxH72N5bY//8f/7e27O7yEIQj0uvbalDU1tNbWCDoa1ifVw5JiZhW0EQeDMcAetPis7eyYSx1VvpKPVzc5eY/IcGW6vtwsArQc1u7hLi99B7CjFqcF2zCYT27txFlcONdcMRbTaZVLThNvW4uSZ8Y163527x3pw2AUkUSEaK9AScDOz0LjPwT4vqxuNEFN7m4OVddVK3mvRNFjzuMwsroYplxVWN6K43Rni8VydBtzT5SKfTzJyyopOltHrZY4SBRRFJJbI09FiYPug4ZH0dNqYXmpc32HX6pzlVBX5gijUZWeqz9eqoSv7POY6wFhNEqVCngu9DgRFIJctsrwQqY9z7Kw21BJUycq0+ywkVHmdpKoVwp0aHtvf32dpaYkLFy48J7g0W3O9TSQSYW5ujs997nNkMhnK5TKf/vSnefDBB7n77rtftxBZJBKhXC4TCAQ0fw8EAiwuLj7nMcPDw/zJn/wJ586dI5FI8J/+03/ibW97G3Nzc3R0dLwew37d7Z8NwKhNp9Pxnve8h/e85z18/vOf58knn+TLX/4yn/jEJ0in09x///08+OCD/MAP/MBtNzV6PrNYLPT29tLb20s2myUUCnF4eMjS0hIOh4NAIIDP5wMgEtziXz50hd/99E9zGErw9UcnuD61xt/8w/X6+YYHWllSVfv3dvk03ozPY2duqQoOiqKwvhVkfStEoVjk7KluDAYD+02dLpvFMptFJnu7fByGEkzPV4tI77rYSz5fZqDXxdrmET6PjdUNtR6bWVNvI0kCqypFaYBQJKXxgDo77Zwf9aAoIls7xzibOnq2BWzsqQgBPV1uwtGG19XX49GEz/q63dyIqdpFeyxcn2zkf+661MnCUqPPTMDjhoqCrAOBMoVcgr42CVmnRxJlRCoMdtsplxQqikImXaDdV5WR97pNJHIl/C4TsiTg95jwu0yIQrU1gwHodRoJhlLk0wU24hLFUhWAzp321sEFIF9q/Nth1XOgUiDQdPYU0DQ0G2q7sxL8UGV6LS4ucuHChRctgH4+MxqNfPvb3+bKlSv8xV/8BU8++SR/8zd/w8MPP8zc3Fz9t3Mn2j333MM999xT337b297G6dOn+aM/+iP+w3/4D2/gyF47+2cJMGqTZZl7772Xe++9l8997nNcu3aNr3zlK/zKr/wKR0dH/NAP/RAPPvgg73nPe1512XKTyUR3dzfd3d3k83mNPhqAzWZjcHAQSZJob3Xz8x+9j5//6H387v/zYf7+m5P8338cp1gqaQCmNeDSqjn3tmjUAkZPdfHsZLU1weTsBudGutjZO+DcSBeSpOM4VdTI0VgtBmZU4TSAzSaPKZsr1veRZZELowEc9jY2d+JEYxkG+/08M75Z3//s6XamZhvn7O3yaMDF4zZzY3KrrqZsMuqIxXVcOucll1fY2kmwua1tkXAQ1HpMzXI2sSMtaEai2u39w0YIS1FgcTVSr7WxmHUUSkpdKdrj0nGUaIS1zp72M7fY8G5anUa2VPkWhrz13I0sC0gGqd7/ZajPybIq1CY3UcV3VGHBjhYrCZWoptpranGbOVC1XR7uuLMA5uDggIWFBc6fP3/b4JLJZPjQhz6EKIr87d/+LVarlR/5kR/hR37kR+pq66+XnRB3gkFtNCEYDNLS0vKSzqHT6bh48SKrq6svvvOb1N6UNOXXyiRJ4u1vfzuf/exn2djY4NFHH6W7u5vf+q3foqenh5/4iZ/gL//yL0kmky9+spdpBoOBzs5Oenp66rU1Op2Oa9euce3aNdbW1kilUiiKgs9j5yd//F185X8+wv/3c7/AH/zuT/ND7z6P0aC7NVwW0YbLsiraMIDRqCeXL3Lj5hrPTCzic+u4MBrg/Jl2DHqZkaG2OjkAYPRUBwcqj6c14GB2seEZyJLItfFVnrqxxEEoRG+PDb0O2loaE14zr8Sg124P9AY0Uv0jw60srhzy9Pg6U7MbdLQZMJvLjJ3zceaUhzPDfnZV3kxXh5ONrQYAtbfaWd9sAEBHm4MNFUD1drs0/XCG+j2NQk5goM9TBxeAvh7tKjnT1B01pjrWoBc1VOfeLkcdXABsNm04Nqo6tjVgIa6Si2n2JA9U4TKfR9UiudXGqdepgv+l2OHhYR1cPB7PbZ0jl8vx4Q9/mHw+z9e//vVbNMpe77oXvV7P2NgYjz32WP1vlUqFxx57TOOlvJCdKI+0tra+VsN8w+2fvQfzfCaKIlevXuXq1at85jOfYWpqiq985St85jOf4V//63/ND/zAD/Dggw9y//33v2o9Mvb391lYWGBkZKT+0hWLxbpkzebmJkajsS5ZY7PZcDosfPjh7+PDD38fyVSWR789zdcfneCbT8zg92qT/36vox4ug2pnzpn5hlaaIMDS2kE9h2O1GDEa4MJoBwvLh+QLJU1NBlTbFxyotMfOnu6ss88URQGlwje/M1Pb10t3p5+YamKUJYHdA+0EfdCkZZbPa+tvdDqZmYUDVqiG2a6O9dLRpsfnsVOpCFgtZnZUOZC2Ftv/v703D4vqvP/+XzMww8Cw7ww7AoKigoKoNcZUG+KOsYn5NtZom9SkMb/HxDbbNzVPs5mkbdYmMWmf1uRKzOYSoyZGRY2J4sImqICiIiAy7Ps+c35/IGfm4I4gLvfruvjjzJyZuQ/oec/9Wd4fxfRNg48zp60t8z0cOVVsOdY7KG/6Pcss66wcj1UqqLFart5BpRiCFhbiRm6BRcxsbJSFC/VN1r0yGoqtdlI+Hg6U1lgEp9kqx+LhYkeVVUmyVmvDIB9H7Fo7OJpVRuiff8H1gNFo5PDhw1clLm1tbcybN4/a2lq2bNnS62bMvuaJJ57ggQceID4+ntGjR/PWW2/R1NTEwoULAZg/fz7+/v4sX74cgBdeeIExY8YQHh5ObW0tf/vb3zh16hQPPvjgQF5GvyIE5jJQq9WMHDmSkSNH8vLLL3P48GFWr17Nu+++y6OPPsodd9xBcnIy06ZNw8PD44rFRpIk2UG2p0GnRqPBz88PPz8/TCYTlZWVGI1G0tLS0Gq1coGAi4sLTo723D0tkbunJdLa1sFPe3NZ+91+fthxkLr6ZsJDfSivtBaDIPZlFFgdB5N95JR87OHmxLafsoEusUkcGUKnyYyd1pa29s6zw9eUjZLd3mXdODtZxtsWFlfi5+NCTt5JPNz0eHk44OHqQk6eJVkfOcibo8ct+RkfL2eOHLWucNMq+nFsbdQcLSintr6FE6eqzr7GCSdHMwEGd+x1dkiSGb1eQ9PZm3nP6Z0lVmKjUqkotKoe02rUHLPqX3Fz1XHCKkwVFuTGSauelbBQd3KswmUmk7Kxs67RIih2WjUnrZL0wQFOHD5heW/rccmooMiqys3PS09VUR1qFUQHuqBp6eBkVtfvKdDXUWmyOUAYjUYOHTrE8OHD8fT0vPQLzkNHRwcLFiygtLSUlJSUyyoMuFbMnTuXiooKli1bRllZGbGxsWzevFlO/BcVFSl2VjU1NTz00EOUlZXh5ubGqFGj2LNnD0OGDBmoS+h3bvg+mIFEkiSOHj3KmjVrWLNmDdnZ2dx2223MmjWLmTNn4u3tfUmxMZvN5OXlUVlZSVxc3GWb/JlMJqqrqzEajQp/NG9vb9zc3BSf29HRya69uexKzeWLb/bIfmgxUYGK/pqE2EEcyDouH49LiGTPgaPy8ZhREexNP4bewY4hkYG4ujiyN71Q9k8L8HOXS6OhK3eiVqtparbcZAMN7hSXWs4ZPiSQo8fLiIrww8HeHp1Wx+79lgq2MfFhivxNQlwwBzItIjgiJoDsw5ZkfXSkD7lWbgERoV4UFFahUoG/ryuDQrxoazfT0mqizNiMp5sjJ6zdkAd5KgQlJtqbQ1b5lFEj/Mi0miOTEOtPutVcmuHDvMm2Kiv29XGg7KzPvlajolOlku39oyLcybOasDlqhA/pVlYzAYEucnmzwVtPqVUeaexwHzraTJw6XkNlZTPu3g5Un+3DuWO0P289fRsDSXl5OTk5OQwfPrzXiffOzk5+97vfkZeXx44dO67rBL7g/Az815wbGJVKxeDBg3n22Wd55plnOHHiBGvWrOHzzz9n6dKljBs3jpkzZzJr1iwMBsM5YmMymcjOzqa1tZXRo0dfkW2EjY2N3HhmNpupqanBaDSSk5ODJEmy2Li7u6PR2DLptmFMum0Yy5b+mtS0o/yw4yDfWFWjOTnqyMm1hMvUapVilg1AdW3Xza6puY0DWQXEx4bR2dnMiJhAbNUadDqdQmCGRQeyP9MiFkMiDRw5ahEDHy8XDuWVYDZLZB0qQqfToLG1xeDnhMHHjcbmToUXGnCOQ4G6x++0Z3jL3U0PhVVIEpScqcXfz4V9GRaBighzIsxGh5NeB9jg7GhPeYVWDoNpelj2tHf0sJaxuumrbZTWMp7u9rK4AAQFOnKsyBICU6uU4bI6q3yLo4MtJeXW4TJ7XJy06G3VlJ9uoL60UfY5c3Wxk8UFuhyeB5KKigpycnIYNmxYr0XBZDLx8MMPc/jwYSEuNzBiB9MPSJJEcXExa9asYe3ataSmppKQkCBb1gQFBVFSUsLHH3/MXXfdxYgRI/qs0VOSJGpqauSKNJPJJFvW9LTckCSJtKzjbNyawcmicjZty5Sfi4sJUZhvhgX7KOxsXJwcaG1rp+1sp75arcLP2w1vLxd0dnYcO16BwdeNXKuKtNihAWQdtlSPjY0PJzXNEqJLiA0l7aDl5h8d4UfR6WoGD/LDzk5LS4uJXCsrmS63AJNsoKnR2KDT2tJwdgqoWq3G3VVPVY0ltOTr7URZeYPVsYt83O02UFHVhLOTDj9vJ1xdHVGr1JjNKtrbJFraJCqrWmhpNeHh7kBNjUUUwsPcFGOVR8R4c9BqqubIWB/SrZwBAvztKTF2rVVjq0KyUdNpknB00BAd5kqnBCqTRF1VM27OdqRb7ZxcPRyoOZuDiYpwJ89K2F5fOo6kXwQxEFRUVJCdnU1MTMw5PSKXi8lk4rHHHmP37t3s3LnznIGBghsHITD9jCRJlJaWymMGfvrpJyIjIykuLiY2NpaNGzf2q2VNfX29bFnT3t4uW9Z4enqe17Jm49YMNmxJx0mvIz37pPzcuPhI9qRZwmVj4yNJtTqOjQkm65BFHEIDvXBycsBR70BhcTVNjW2YzGbarEpr/X3dOF1mSYAPHxJITq6lIm30yFD2Z1jWMDZ+EMWlNQT6udNhUuFob8/edMtnxsYEKMqfhw72U5hrRg7y4uhx6xJuL46drFI8b928GT3Yh7yj1uMPDGQf7trV6R20jBoRSGVVM3Z2tmg0tni4OdLQbAKpa8qlZGqhqRUcHPRIgKOTluaWTs5OAsBGY4PZLNHe2oaaTozlLdTXddDSYmZ4jCc5eVaVbqGu8tRNT3d7Kqx2O6NG+JBuFcZb984UwgJcuNZUVlZy8ODBqxIXs9nMkiVL2L59Ozt27CA4OLiPVym4logQWT+jUqnw9/dn8eLFPProo3z//ffce++9eHh4kJqayvjx40lOTmbWrFlERUX1qfmdSqXCxcUFFxcXIiIiaGxsxGg0cuLEiXMsazQajWxZ8+z/mc3RE2fYsCWdjVvSyT16mtyC04r3ruhR/mzTo0zUz9dNzt+oVBA7xB87OwcqqlooOl3D0MEGDudbT+N05VCe5Vin03A4T2nweaqkitKyWkrO5nCGDjYQEuSAh7szTU2dqHrUe9nbK+1DXJ2VzZrubnqwEhg3Vz1gOXZyUIYsrQe+NTW3U9/QqhiuNijEMttGpQJHBx1NZ40q3VztqauzJPijB3uRd8wiIAlxBoxW4cCaOsuuy9ZWTbFVpZ2Pt14hMJ1WjZlajZqgAShRrqysJDs7m6FDh16VuDz55JNs2bKFnTt3CnG5CRACcw3ZsmUL9957L6+99hp//OMfqampYf369axZs4bXX3+dsLAwZs2aRXJyMkOHDu3T2n6VSoWTkxNOTk6Eh4fT2NhIeXk5RUVFHDlyBHd3dzlvo9VqiQzzY+nD01n68HROlVSw4Yd0NmxJJz37JINCfCg4acnPuLno5a5+6HJuPnrcEhqTJGhuNZN5+BgAwQGeGHyd6ejslCvGwoK9MFZYN4QGkJZl2b1ER/gpwm3+fm5WAnUGFyd7zBKEh3ni6qynobFd0bypUsHxQuX4gVMlymbN4tO1iuMiK/sclUql6KXRam0Uux03F3tFb43BR88ZoyUvEhzgRnadRYwce+SKmpst+RiVWkV1rSXX4+Vhy5kqy/NarfLfRZVV/iU0wBlbm2vbE1JVVUV2djZDhgy57CbDnpjNZp577jnWr1/Pzp07CQsL6+NVCgYC0Wh5DQkPD+ezzz7j0UcflWfaLFy4kI0bN2I0Gnn22WfJy8vjjjvuIC4ujmXLlpGRkdHnM20AHB0dCQsLY8yYMYwbNw53d3dKS0vZtWsXaWlpFBcX09ralaAODvBi8e/v4ocv/5fsnX/j/3twCuNHD5ZHAERF+CtmzwyPDpIr1QCC/D3ItxKcqppGduzO4XD+SVxdbIiP9Qe6yp+7abNq7gRwclLuPoL8ld3gUREGGpvaOJx/mt0HjmJja6a6rpKwUD0jR/gwNiFY0WQaEeqlyMWEBXtwxmgRuLAQD4xWQ78iQj3lMc8Agwd50dJqWWNIsDvWwWaDr3J9Pccl1DZYREGtVnHKelaMvzPNVkPF/Hq8V0W1Zfeo0ag5Y+VzFh50bUNj1dXVHDx4kOjo6F6LiyRJvPjii3zxxRekpKQQERHRx6sUDBRiB3MNGTRoEIMGDTrvcy4uLsybN4958+bR0NAgz7SZMmUKnp6esvNzQkJCn3ctOzg4EBISQkhICK2trQp/NGdnZ7mx097eHoOPG/fPGc/9c8ZTWd3A9ymZpKYdJe2gjZxs7+kkHGDwoOi05dt+TFQAe9O7kvsVVfX4eLpwKP8oDvZ2DBsSgJODnlyrWTN2drYcyVeG6KxLnQEam5T9JmqVira2Tnmq5+iRodQ1VhMa5ImXhwtuzs7UNbZSfvbm7O3pqNiBeHk4KtwAXF0dsA6f9Qy/mU3KLwHWg8gAzli5KevsbCm0SsoH+ztzqsTyvIeHA0VWIbGeztWNrTZAlwC5O6swNlqev5YCU11dTVZWFlFRUb3uRpckiVdffZX//Oc/7Nixg6ioqD5epWAgEUn+65zm5mY2b94sz7RxdHSUq9HGjh3br+6xbW1tVFRUYDQaqampwdHRURabnr5sdfXNbN6RxQ/bs9jyY7b87d7GRo2bi16xo4mO8Cf3mHUyP5z9Vg2fv0iIJDX9GFER/ri7OmOnteOnvZbnBw/yJf+4JUTn4+1CRWWjbEGjd9BiMkmyxY2NjQpnR3vFRE+DjxtnjHV4ujsSFOCBq4sTNTWtFJc20NjUTkigO6dKauXzg/zdFSE0g6+rVfWZCr2DLU3NXQKrs7NFktSyvYyPlyMVlZZy5ehIL/KsuvvjR/iRkW0Jn8WN8CPrsOXY4O9E6dlxyu5uOqqsmjVjY7zIOmYR24dnuTNxdKDcD9VfFio1NTVkZmYSFRWFwWDo1XtIksSbb77Jm2++SUpKCrGxsX27SMGAIwTmBqK1tZWtW7eydu1a1q9fj1arlXc2v/jFL/p0pk1POjo6ZLGpqqpCr9fLORtHR0dUKhWtra1kZmaCypayajObtmVirKhTNGsGB3hxqsRSmeVgrwVUNLdYNWP6e1BsteOJHRpMZXUDwQHeNLeacNI7sDfd0l8zLj6cVKvj+NgQ0rIK5eNhQwLIOWKpLosM8+HYCcsaggLcKSrpukmrVCqGD/FHq9Wi1WhpaTHT3ilxwqohMjDAVWE14+dtT1mFZf0xUb4cybcqTx7uT1aOZUeWEBdA2kGLQI4Y6kuO9cyXABfZfNNRr6Gp3SSH34ZGeXLIasrmyBE+ZFhVkH3x2m3QWU9FRQUmk0lRNdhXX0a6xWXw4MG9LiGWJIl//vOfvPbaa/zwww8kJCT0ydoE1xciRHYDodPpmDFjBjNmzKC9vV2eabNgwQLMZjPTp0+XZ9r09QAmjUaDwWDAYDDQ2dkpW9Z0+6O5ublRUVGBh4cHQ4YMQa1WM3tqIm3tHez4+TAbtqSzeUcW/n5uCoHpaVfTc3fj6eFETl4xJpOZkjPV2Nqq8fJwYdgQb+y0WgqLaymzKg4A6GhXepfZ2ymF18PNiWNYD/FylQVGkiTsdXbssyqPHjMqDEfHDvx8XHHU63BzccbeTsMZYwNNzR14eugVAtMzfNbTzKy+UWmnU2oVDnN21iqcnQP8ncizso+x6+EF13A2FOfppiPMz5HoCH/An6ioKOrr6ykvL6egoIBDhw6ddyrklVJbW0tmZiaRkZFXJS4fffQRy5cv5/vvvxfichMjdjA3AZ2dnfz00098/fXXfPPNN7S0tChm2lyJQ8CVYjKZKCkpoaCgAEmSsLOzk3c2rq6uirLrzk4Tuw/k8+3mNL5LyaS8sp6hgwM4bDUeutuOppue/Tdxw0LJzLHc/MOCfVCrVPh6u1Pf2E5lVTN1DS10dnaFp2xt1Dg42Clm3HSHx7oZFOLF8UKrUcqRBsUAtZgofw5b+Z8NHezPkaNdx24u9sREBdJpUmFrY0tnJ2g1Gk4W1VFT24IkgZe7k9zxb6e1BZUN7WfzVb7eesqtuv2HRntxxCrkNSrOV9FgOXSIF7knajB463F10mCnUXO6qJqS4lpih/ny6Yq7z/t3amxspKKigvLychoaGnB1dZVL1C935lG3uISHh190kuzFkCSJlStX8swzz7Bx40YmTJjQq/cR3BgIgbnJMJlM7Nmzh9WrV/PNN99QW1tLUlISycnJ3HnnnTg4OFz6Ta6AmpoasrKyCAkJISgoiOrqasrLy6moqEClUin80azzAWazmX0ZBV29NlszOH2mGjutLVqthoZGixgMCvFROELHjwgj7aBVeKyHX9r4xCja2jqxtdVSdLqWAF93sg5b/NbCQ705ftISUjL4uFBqJTburnrqGiyTL50ddbS0dsrjAxz1WtrazbKAOTna0dzSgens8x7ueqqru3I9Wo0N0ZEGOjvV2OvssLPT4OSoo7VVwmxWYZYknB3tqKltxywBEnh521Nd045arcLGpmtH09TcgcnUSVtbB+3tJo6fqKSjw4SvtyMVlZbd0K9nDuH/PjXxkn+z7kKOiooKObfW/XfS6/Xn7cWqq6sjIyPjqsXl008/5U9/+hPffvstd9xxR6/eR3DjcN0JzMsvv8ymTZvIyspCq9VSW1t7yddIksTzzz/Pv/71L2pra/nFL37BBx98cMuXO5rNZvbv38/q1atZt24dRqORX/3qVyQnJ3PXXXddtrHmhej2nIqMjDxn5Gu3P1q3ZY0kSQrLGmuxkSSJjJyT7Nqby6o1P3PiVNc39kHB3hw/Zfn27uSoo729U7anAfDzduVMea183HNH9MvxMbS1m2huMVFwopJRI0LZm2ZlpjkqTJHPGR0XyoEsiztA/Ihg0rMtAjUs2sChPMvuJm5YIJk5xcrzD1p6gkaPDCUty/L8mFGhCi+0hNhgDlg9HxNl4IiVHY6XhzNVZwXL3dWeunrLtQ8f6sfhXEuu6ukl45l3z3CuhO7cWnl5OVVVVeh0Ovnv1D2GoltcBg0aRFBQ7yxoJEniq6++4rHHHmPNmjUkJSX16n0ENxbXXR9Me3s799xzD4888shlv+b111/nnXfeYcWKFezbtw+9Xk9SUpLcx3GrolarGTNmDH//+985duwYP/74I1FRUbzyyiuEhIQwd+5cVq1aRW1t7TlDwC5FaWmp3Ll9vnniarUaDw8PoqOjmTBhAiNGjMDW1pa8vDx+/PFHcnJyZK80lUrFqOFhPP6HaRz4YTm71v9f/vzHGQwboryZDRkcqBCXoYMDFOLi7enCkaOW/I1WY8OBzAJ2788lM+conaZGOjqbiI/zJ8jfFUBRWQbIoSuZHt/m21qVkzBtbZX/hXp++e/e6XTT06zTWGllfqlWKSrXPD0cZXEBMPgpS5B1PXJL4aFXPimyO7cWGxvLxIkTiYiIoL29nczMTHbt2sXBgwdJS0sjNDS01+ICsG7dOhYvXswXX3xxTcXlvffeIyQkBJ1OR2JiIvv377/o+V9//TVRUVHodDqGDRvGd999d41WenNy3e1gulm5ciVLliy55A5GkiQMBgNLly7lT3/6E9C1nffx8WHlypXcd99912C1NxaSJHHo0CFWr17N2rVrOXr0qGKmjbu7+0Uta4qKiigoKOjVEKluf7Ty8nKMRiNtbW14enri4+NzXn+0YyfK2Li1y0XAZDIrxguMHRVBqnW+pke4bOTwUDKs/NTCQ30VDgSR4QbcXZxQqWwpPl1HU1M7El39M9BVYu2o11Hf0CUKKlWXa4F1w6W3pxPllZaKMm8PJyqqGs+er8LNxZHa+q7zNbZqbG1taT37/s5OOhoa2+UKseBAd8WgtNih/mQfsYQHE0cFk5Zpsc+JjQkg54hlt7Pz2wV4evRNCNRsNnP69Gny8/Pl6rPuijQPD48r8s/buHEjCxcu5NNPP2X27Nl9sr7L4csvv2T+/PmsWLGCxMRE3nrrLb7++mvy8/Px9vY+5/w9e/YwYcIEli9fzvTp01m1ahWvvfYaGRkZxMTEXLN130zc8AJz4sQJBg0aRGZmpqKO/vbbbyc2Npa33367fxd6gyNJEvn5+fJMm5ycHCZMmMCsWbOYMWOGYqaN2Wzm+PHjnD59mri4OFxcrq6pT5Ik2bLGaDTS0tKCu7s7Pj4+sj+aNcWnK2UzzsyckzjY21Fbb/mGHznIT2FRc6n5NmPjI+WGT4AJY6Pp7JTo7FBRWFxLgMFNMVumZ29McKA7p4otCfngAHeKrOxnQoM8FecPDvfm6HFL/mf4EH+yj1itNy6Y9IOWHVjiyBAOZFrCfXHDAsg+bFlPoMFdrjhzddHx83e/o69oaGggPT2dkJAQgoOD5S8FFRUV8t+pu0jgYhVpmzdv5re//S3//e9/uffee/tsfZdDYmIiCQkJ/POf/wS6/v0GBgby2GOP8fTTT59z/ty5c2lqamLjxo3yY2PGjCE2NpYVK1Zcs3XfTFx3IbIrpays6xtpT4M9Hx8f+TnBhVGpVERFRfG///u/pKenk5uby5133slnn31GREQEU6ZM4YMPPuDUqVMsXLiQf/zjH8THx1+1uHR/tpOTE4MGDWLcuHGMGTMGV1dXioqK+PHHH8nIyKCkpIT29q5EdqC/J48suJPvVj1DVsrrPLtkNreNicLGRk2gwV0hLjo7jSIXA1BcqvQisx6EBtDa2s6eA3nsz8qlsqYMDzcbYqJdCfbX4ajX4uvjqjjf10s5utfXW3ns0+N5Nxdlc6q9rmffknLX2NSsLGcut7KEsddpFO4AvQmPXYhucQkODiYkJEQ2TY2IiFD8nUpKSmRroaKiIlpalOHDlJQU5s+fz0cffcQ999zTZ+u7HNrb20lPT2fy5MnyY2q1msmTJ5Oamnre16SmpirOB0hKSrrg+YJLc036YJ5++mlee+21i56Tm5srbCIGGJVKRXh4OE899RRPPvkkRUVFrFmzhtWrV/PnP/8ZjUbDY489Jjda9qXzM4Beryc0NJTQ0FBaWlowGo2UlpaSl5cnl9V6e3uj0+nw8Xbl97/5Jb//zS+prmlkx+7DfL0hlR/35NLe0UlMVKCi2qxnwYCrs17Rb9PToNNsljicXyRXmKnVKjo6XImP9aOzU03x6VqaeoyH7g6tddPa47inYNTWK/Mx5Vb5GICSUkt1m5OjljKrAWQBBhdOFFrCaYNC+2aUcGNjI+np6QQFBREaGnrec6z/Tq2trXKRwNGjR9m+fTudnZ2Eh4fz3HPP8e677/Kb3/ymz/+tXIrKykpMJtN5v3jm5eWd9zVlZWXii2ofc00EZunSpSxYsOCi5/TWPbXbYM9oNCr8kIxGo7CeuApUKhXBwcEsWrSIH374gWHDhjF37ly2bt3K22+/zYgRI+QxA2FhYX1+A7G3tz/HH637Jubs7CyLjYODA+5ujsyZnsic6YnUNzTzw85s0rKOc+RoCc1nRcDHx1UhMIPDDezPtITPoiL8OWyV3+lZvuzi5MCetDy5fNlep0GrbSd2mA+2Nloqqxo5XmgJf6nVak6eqlIeF1mONbZqCoss4TVHvZaS0lrL5/s6U2a0hP8C/Fw5atXB7+KkAywC0xc7mG5xCQwMvOz/jzqdjsDAQAIDA+no6KCsrIwPPviA9957D29vb44cOUJqaipjxozpN9sawfXLNRGY7u7h/iA0NBRfX1+Fl1F9fT379u27oko0wfl54okn6Ojo4KeffsLZ2ZlnnnkGo9HIN998w9q1a3nhhReIjo6WxWbw4MF9LjY6nY6goCCCgoJob2+XxaagoEDRw+Ho6IizkwP3zBjDPTPG8Pyffs22XTls3JJB7jFluKyjR7WYs6OyGdXVSUupJd1BeJgvB6wEafAgAwcPF3PiVNe32+hIAy1tNQwON+Ds5IhGoyW/wCI4YcEeinEBocGeinxMSKAHR6yGm/l6KwXGyUm5PlWPm/WgqxSYpqYm0tPT8ff3v6Ah66XQaDRERkZy8uRJ/vGPfxAaGso333zD9OnTmTlzJitXrryqNV4J3dY4RqNR8bjRaLyg67Ovr+8VnS+4NNedVUxRURHV1dUUFRVhMpnIysoCuqzuHR0dAYiKimL58uXMnj0blUrFkiVLeOmll4iIiCA0NJS//OUvGAwGkpOTB+5CbhJeeeUV9Hq97AagUqnw9fXl4YcfZtGiRVRXV8szbV599VXCw8PlmTbdljF9iVarJSAggICAAEUPx8mTJ7G3t8fb2xsfHx8cHR1xsLdjZlI8M5PiaWvv4Mc9R9iwJZ0f9+Ry5KhScAqLKxTHkqpHfqRHKYyDvfKG7+aiJ/doKZmHukRoXEIExaUn8fNxI9Dgg5+3E/Y6W8rKG6msbsLVRdk976hXzofR9KjSMpl6OCr3sJuJCOu9wDQ1NZGWlnZV4gKQkZHB7NmzWbZsGY8//jgqlYrZs2fT0dFBTU3Npd+gD9FqtYwaNYqUlBT5PmA2m0lJSWHx4sXnfc3YsWNJSUlhyZIl8mNbt25l7Nix12DFNyfXXRXZggUL+Pjjj895fMeOHUycOBHousn997//lcNu3Y2WH330EbW1tYwfP57333+fyMjIa7jyWxtJkqirq2PDhg2sWbOGLVu2EBAQIIvNiBEj+jVE0u2PVl5eTmVlJVqtVhYbZ2dnxa7KZDKze38+G7ZksGlbJk6OdhwvtITPnJ3saW5pk3tYVKquEJl1xVpIgDenSiw7kOgIA7nHLCXEI4YGcfCwpeFy5PBQMnO6Giw93J0YOWwQbW2gUtnQ0NiBs5OejOzTVu/nR36BRfRCAj0pPm0J2Tk76uWRAO5u9uzauLBXv7funYufnx/h4eG93n1mZ2czbdo0/vznP/PUU09d85zL+fjyyy954IEH+PDDDxk9ejRvvfUWX331FXl5efj4+DB//nz8/f1Zvnw50FWmfPvtt/Pqq68ybdo0vvjiC1555RVRpnwVXHcCI7g5aGhoYNOmTaxZs4bNmzfj6enJzJkzmT17NvHx8f0qNiaTiaqqKrms1sbGRmFZY33zM5vNpB08wcrPt7F9dx6V1U0kxIZxIMtSIBAV4U+eVUGAr7crxnJL/kPvYEdbe4fF/8xWjVZjK+d/VCoVrs56hUC5u+qprrVUhbm6OCJJYPDxwM3VGQedPWZJTWcHtLWbaGmRaGxqp6mpAw8PByqtLGJGj/TnP+/OuuLfU3NzM2lpafj6+hIREdFrUThy5AhTpkxh8eLFLFu27LoQl27++c9/8re//Y2ysjJiY2N55513SExMBGDixImEhIQoQndff/01zz33HIWFhURERPD6668zderUAVr9jY8QGEG/09TUxObNm1m7di0bN27E2dlZnmkzZsyYfp1pYzabZX+08vJyVCoVXl5e+Pj4yGKTm5tLVVUVo0aNIv9EObtSc/nMyrKmZ//MmFER7Eu35GNiY4LJOmSxf+kpSKFBXhQWW/Ivgf7uFJ+2JPgDDR6UnLGEkEICPTlVYjk/KtyPvAJLhduoEYM4ajUP53/uHssLTyZf0e+lubmZ9PR0vL29iYyM7LUo5OfnM2XKFH7/+9/z0ksvXVfiIhh4rrscjODmQ6/XM2fOHObMmUNLS4s802bu3LnY2dkxY8YMkpOT+2WmjVqtxtPTE09PT6KioqitraW8vJxDhw5hNpvRaDSYTCbi4+NxcHAgLiaEuJgQ/s9DUzhytISNWzNIP3hS8Z497V/sdcpGQ3dXZTe9j7erQmD8vN0UAuPr46oQGG9PZ4XAuLoo389Oo1YYgoYGXZmbQktLS5+IS0FBAdOnT2fevHm8+OKLQlwE5yAERnBNsbe3Z+bMmcycOZP29na2b9/OmjVreOCBBwDkmTa33357n8+0UavVuLu74+7uTkREBJmZmTQ0NGBjY8O+ffsUljU2NjYMiQxgSGSXz9rxQiObtnblbApOKiuNzhhrFcc9/cZ6CpKqR3TQxkZ90eOeMYa2HhVwkWGXX+XU0tJCWloaXl5eVyUuhYWFTJ8+nTlz5vD666+LEmTBeREhMsF1QWdnJ7t27ZJn2rS2tjJ9+nRmzZrFL3/5yz6daWM2m8nJyaG5uZlRo0ah0WhoaGiQLWtaW1sVkyB77qpOn6lm49ZMNm7J4GRRBcYKS/JdY2uDja2a1lbLWGNvTxcqqix+ZSGBnhQWWwoEIgf5ceyERbQGh/spQmARYT6K57umglp2ODk7X8LLU+kacD5aW1tJS0vDw8ODqKioXotLcXExSUlJ3HXXXbz//vtCXAQXRAjMVVJdXc1jjz3Ghg0bUKvVzJkzh7ffflsuqT4fEydO5Mcff1Q8tmjRIuF3dBaTycTu3bvlmTZ1dXXcddddJCcn86tf/eqqZtqYTCays7Npb29n5MiR54iHJEk0NTVhNBopLy+nqakJDw+PC/pulVfW8922TDZuyWT3gXwGDzIoLGoC/Dw4XWbdIOlAfWOL7F6ts7PFbFbR0dm1K7G1UWOrsaWtrUugbGxU2NrYyC7SWo0NJrNKnj/j7qrnyM/LL3nd3eLi7u5OdHR0r8XlzJkzJCUlMWHCBP71r3/1a/5McOMjBOYqmTJlCmfOnOHDDz+ko6ODhQsXkpCQwKpVqy74mokTJxIZGckLL7wgP+bg4ICz86W/hd5qmM1m9u3bJ8+0KS8v58477yQ5OZmkpKQrmmnT3VdlMpmIi4u7rHxPU1OTXCDQ0NCAm5ubXJFmZ6fsXampbeLH1FxWb9jHzt1HaGvvJHFkOPszLRVpcTHBZFoVBERH+pN3zJLADw/1UZRMhwV7y8UG3c8XnLSULyeODGP9J0sueg2tra2kp6fj5uZ2VeJiNBqZMmUKCQkJrFy5UoiL4JIIgbkKcnNzGTJkCAcOHCA+Ph7oco+dOnUqJSUlGAyG875u4sSJxMbG8tZbb13D1d74mM1mMjIy5DEDxcXFTJ48meTkZKZOnXpOv4s1nZ2dZGZmolKpiI2NvSK7+W5aWlpksamrq8PFxUUWm55jhxubWtm6M4cDB0+wak0qzS1dxprjEiLYc8AyYmBsfAR7rSrSEkcOUgjS6LgwxXFCXBgHMgvl49/eM46/PX/hkRRtbW2kpaXh6urKkCFDei0uFRUVTJs2jaFDh/LZZ5/16vcnuPUQwdOrIDU1FVdXV1lcACZPnoxarWbfvn0Xfe1nn32Gp6cnMTExPPPMMzQ3N1/0fEFXkj4+Pp5XX32VvLw89u3bR1xcHG+++SYhISH8+te/5pNPPqGqqkoxQK27JNfGxoa4uLhe3xzt7e0JDg4mISGB2267DV9fXyorK9m9ezf79u3j5MmTNDV19bY46nXMnpbAK8/OJXf36/z3nUXMmT6a1rYOxXv2tKzpYaiMTY/8ho1auWuICFOaM1rT1tZGeno6Li4uVyUu1dXVzJgxg4iICD799FMhLoLLRvxLuQrKysrOGVxka2uLu7v7RR1Yf/Ob3xAcHIzBYCA7O5unnnqK/Px81q5d299LvmlQq9UMHz6c4cOH89e//pW8vDxWr17Nhx9+yGOPPcbtt9/OrFmzGD16NPPmzZOtbfoqIW1nZyebPLa3t8uWNcePH0ev18suAnq9HnudlmmTY5k2OZb29k5+2pvHxq2ZbN6ezekzSguV6pomxXFdo9ICv7mHg/OFKsi67eqdnZ0ZOnRor8WltraWWbNmERQUxJdfftnnZeSCmxsRIjsPlzteYO3atXz88cfk5+crnvP29uavf/3rZZttbt++nUmTJlFQUHBVXlCCriT98ePHWb16NV9++SVZWVm4ubnx9NNPc/fdd+Pn59ev/RodHR0KyxqdTieLjZOT0zmWNalpBWzamsl3KQepqW1CkpAT/gBOjjpF2bOnuzOV1Rbb/oxtf8Xgq7Tqb29vJy0tDScnJ2JiYnp9vfX19SQnJ+Pi4sL69ev7tJJPcGsgBOY8VFRUUFVVddFzwsLC+PTTT1m6dKnCyK+zsxOdTsfXX3992eNhm5qacHR0ZPPmzdd0XvnNTElJCZMmTWLo0KGMGTOGb7/9lr179zJ69GhmzZrFrFmzCAwM7FexMZlMVFZWYjQaqaysRKPRyGLj4uKi+GxJksjIKWTDD5ls2naQ4tNVGHzdKLWqQHN10VNrNa7ZyVHHsb2vKz6ze+ei1+uJiYnp9Y6tsbGRu+++G61Wy6ZNm87JMQkEl4MQmKugO8mflpbGqFGjANiyZQt33XXXRZP8Pdm9ezfjx4/n4MGDDB8+vD+XfEsgSRITJkwgOjqaFStWoFarkSSJ06dPs3btWtauXcvu3buJjY2VxwyEhob2u9hYW9ZY+6O5urqeIwTZR4r5aW8+n69LlRs7h0YFcDjPYqg5cngw361aKh93i4uDgwPDhg3rtbg0Nzfz61//GkmS2LRp00VL7gWCiyEE5iqZMmUKRqORFStWyGXK8fHxcpny6dOnmTRpEp988gmjR4/m+PHjrFq1iqlTp+Lh4UF2djaPP/44AQEB5/TGCHpPaWnpBcNhkiRhNBpZt24da9euZefOnQwdOlR2fr6aDvfLwWw2U1NTg9FopKKiAkmSZLFxd3c/Rxjyj59h09Ysjp0wsu67DPnxucmJvP3S/UBXaC49PR17e/urEpfW1lZ5Nv3mzZtF6bzgqhACc5VUV1ezePFiRaPlO++8I3/rKywsJDQ0VB43UFxczLx58zh06BBNTU0EBgYye/ZsnnvuOfGfeQCQJImqqip5pk1KSgoRERGy83N0dHS/dqpLkkRtba3c2GkymfDy8sLb2xsPD49zek0KiyrYtC2bTduymHFnHI8s+KUsLjqdjuHDh/d6vW1tbdx///1UVlayZcsWXF1d++AKBbcyQmAEgrN0z7T59ttv5Zk2QUFBsthczc37cj+/vr5eFpv29naFZU3P8mBJkujs7CQjIwOtVntVM3fa29uZP38+xcXFpKSk4O5+9SOYBQIhMALBBaivr1fMtPH29pbFZtSoUf0uNo2NjbLYtLS0KCxrNBqNLC4ajeaqxKWjo4Pf//735Ofns3379n4bby649RACIxBcBk1NTXz//fesXbuWTZs24eLiIs+0SUxM7HfblMbGRrlAoLGxETc3N1paWtDpdMTFxfX68zs7O1m0aBEHDx5kx44d+PhcuHHzWiC8/W4uhMAIBFdIS0sLW7ZsYe3atWzYsAGdTqeYadPfne4NDQ1kZWXR2dmJyWTC1dVVLhK4kl4Vk8nE4sWLSU1NZefOnZdd9difCG+/mwshMALBVdDe3s62bdtYu3Yt69evR6VSMW3aNGbPns2ECRP6fKZNt6eaWq0mNjaWjo4OecxAXV0dzs7Ocq/NxXpXzGYzS5YsYceOHezYsYOgoKA+XWdvEN5+Nx/Ci+wW4L333iMkJASdTkdiYiL79++/6Plff/01UVFR6HQ6hg0bxnfffXeNVnrjodVqmTp1Kv/+978pLS3l888/x87OjkWLFhEWFsaiRYv4/vvvaW1tvfSbXYJuN+hucbGxsUGn0xEUFCT7oxkMBqqqqti9ezd79+5V+KN1YzabefLJJ9m6dSvbtm27LsQFhLffzYjwIrvJ+fLLL3niiSdYsWIFiYmJvPXWWyQlJZGfn3+OjxrAnj17+J//+R+WL1/O9OnTWbVqFcnJyWRkZBATEzMAV3DjoNFomDRpEpMmTeK9997j559/ZvXq1SxZsoT6+nqmTJlCcnIykydPvuKZNiaTiczMTABZXHpiZ2dHQEAAAQEBdHR0UFFRgdFo5Pjx46hUKr7//nvmzJnD+vXr+fbbb9mxYwehoaF9cu19gfD2uwmRBDc1o0ePlh599FH52GQySQaDQVq+fPl5z7/33nuladOmKR5LTEyUFi1a1K/rvJkxmUzS7t27pccff1wKDQ2VHB0dpbvvvlv65JNPJKPRKDU1NV30p76+Xtq1a5e0c+dOqb6+/pLn9/ypq6uTfv75Z+mOO+6QbGxsJBsbG+nBBx+U9u/fL5nN5n6//qeeekoCLvqTm5srvfzyy1JkZOQ5r/fy8pLef//9y/68lJQUCZAKCgr68jIEvUCEyG5iuq1DJk+eLD+mVquZPHkyqamp531Namqq4nyApKSkC54vuDRqtZpx48bxxhtvUFBQwPbt24mIiODFF18kJCSE++67j88//5y6ujrFmAHo2rkcPHgQs9nc62oxW1tbYmNjGTduHG5ubvz973+npaWFyZMnExISwuHDh/vqUs/L0qVLyc3NvehPWFgYvr6+lJeXK17b2dlJdXU1vr7nd40+H4mJiQAUFBT06XUIrhwRIruJqaysxGQynVN66uPjQ15e3nlfU1ZWdt7zLxaiEFw+arWahIQEEhISeOWVV8jOzmbNmjW88cYb/PGPf2TSpEnMnDmT6dOno9Vq+cMf/sD9999PUlJSr6vTJEnijTfe4IMPPmD79u2MGDEC6OrcT0lJISwsrC8v8Ry8vLwuq7dm7Nix1NbWkp6eLnv7bd++HbPZLIvG5ZCVlQWAn59fr9Yr6DvEDkYgGCC6k/Uvvvgihw4dIjMzkzFjxrBixQpCQ0MZPHgw+/fvJzIystd9LpIk8e677/Lmm2/yww8/yOICXTmbqVOnXjdOydHR0dx111089NBD7N+/n927d7N48WLuu+8+uYLs9OnTREVFyYUqx48f58UXXyQ9PZ3CwkK+/fZb5s+fz4QJE4Rx7HWAEJibGE9PT2xsbDAajYrHjUbjBUMOvr6+V3S+oG9QqVQMGTKEZcuWsW/fPiZMmIBer8fHx4f4+HimTp3Khx9+yJkzZ84Jo10ISZL48MMPefXVV/nuu+8U1VnXK5999hlRUVFMmjSJqVOnMn78eD766CP5+Y6ODvLz8+UqMa1Wy7Zt27jzzjuJiopi6dKlzJkzhw0bNgzUJQisEH0wNzmJiYmMHj2ad999F+gqUQ0KCmLx4sU8/fTT55w/d+5cmpubFf9Bx40bx/Dhw0Vn9DXAZDIxZ84cSkpK2LZtGy4uLhQWFrJmzRrWrVvHvn37SExMlGfaBAQEXNAx+r///S/PPvssmzZt4rbbbhuAqxHc8gxcfYHgWvDFF19IdnZ20sqVK6UjR45If/jDHyRXV1eprKxMkiRJ+u1vfys9/fTT8vm7d++WbG1tpb///e9Sbm6u9Pzzz0sajUbKyckZqEu45fj3v/8tVVVVnfO42WyWioqKpLfeekuaMGGCZGNjIyUkJEgvv/yydOjQIamxsVFqamqSGhsbpQ8++EBydHSUduzYce0vQCA4ixCYW4B3331XCgoKkrRarTR69Ghp79698nO333679MADDyjO/+qrr6TIyEhJq9VKQ4cOlTZt2nSNVyy4FGazWSotLZXee+89adKkSZKtra0UGxsrPf/889Irr7wi6fV66YcffhjoZQpucUSITCC4wZGsZtqsWrWK7du38+mnn3L//fcP9NIEtzhCYASCmwjp7GjogICAgV6KQCAERiAQCAT9gyhTFggEAkG/IARGIBAIBP2CEBjBdcmVjBhYuXIlKpVK8XMlg7cEAkH/IARGcN3RPWLg+eefJyMjgxEjRpCUlHSOEaI1zs7OnDlzRv45derUNVyxQCA4H0JgBNcdb7zxBg899BALFy5kyJAhrFixAgcHB/7zn/9c8DUqlQpfX1/5Z6BnywsEAiEwguuM3owYAGhsbCQ4OJjAwEBmzZrV7xb0AoHg0giBEVxXXGzEwIVGBgwePJj//Oc/rF+/nk8//RSz2cy4ceMoKSm5FksWCAQXQMyDEdzwjB07lrFjx8rH48aNIzo6mg8//JAXX3xxAFcmENzaiB2M4LqiNyMGeqLRaIiLixMTDQWCAUYIjOC6QqvVMmrUKFJSUuTHzGYzKSkpil3KxTCZTOTk5IiJhgLBACMERnDd8cQTT/Cvf/2Ljz/+mNzcXB555BGamppYuHAhAPPnz+eZZ56Rz3/hhRfYsmULJ06cICMjg3nz5nHq1CkefPDBgbqEm5KXX36ZcePG4eDggKur62W9RpIkli1bhp+fH/b29kyePJljx47170IF1w0iByO47pg7dy4VFRUsW7aMsrIyYmNj2bx5s5z4LyoqQq22fDeqqanhoYceoqysDDc3N0aNGsWePXsYMmTIQF3CTUl7ezv33HMPY8eO5f/9v/93Wa95/fXXeeedd/j4448JDQ3lL3/5C0lJSRw5ckQ0w94CCLNLgUBwRaxcuZIlS5ZQW1t70fMkScJgMLB06VL+9Kc/AVBXV4ePjw8rV67kvvvuuwarFQwkIkQmEAj6hZMnT1JWVqboaXJxcSExMfGiPU2CmwchMAKBoF/o7lu6kp4mwc2FEBiB4Bbm6aefPscotOdPXl7eQC9TcIMikvwCwS3M0qVLWbBgwUXPCQsL69V7d/ctGY1GRcm40WgkNja2V+8puLEQAiMQ3MJ4eXnh5eXVL+8dGhqKr68vKSkpsqDU19ezb98+HnnkkX75TMH1hQiRCQR9yK5du5gxYwYGgwGVSsU333xzydfs3LmTkSNHYmdnR3h4OCtXruz3dfaGoqIisrKyKCoqwmQykZWVRVZWFo2NjfI5UVFRrFu3DuhyuF6yZAkvvfQS3377LTk5OcyfPx+DwUBycvIAXYXgWiJ2MAJBH9LU1MSIESP43e9+x913333J80+ePMm0adN4+OGH+eyzz0hJSeHBBx/Ez8+PpKSka7Diy2fZsmV8/PHH8nFcXBwAO3bsYOLEiQDk5+dTV1cnn/Pkk0/S1NTEH/7wB2praxk/fjybN28WPTC3CKIPRiDoJ1QqFevWrbvot/WnnnqKTZs2cejQIfmx++67j9raWjZv3nwNVikQ9B8iRCYQDCCpqamKPhGApKQk0SciuCkQAiMQDCBlZWXn7ROpr6+npaVlgFYlEPQNQmAEAoFA0C8IgREIBhBfX9/zzr5xdnbG3t5+gFYlEPQNQmAEggFk7Nixitk3AFu3br3s2TcCwfWMEBiBoA9pbGyU+0Ogqwy5u3cE4JlnnmH+/Pny+Q8//DAnTpzgySefJC8vj/fff5+vvvqKxx9/fCCWLxD0KaJMWSDoQ3bu3Mkdd9xxzuMPPPAAK1euZMGCBRQWFrJz507Fax5//HGOHDlCQEAAf/nLXy5p3yIQ3AgIgREIBAJBvyBCZAKBQCDoF4TACAQCgaBfEAIjEAgEgn5BCIxAIBAI+gUhMAKBQCDoF4TACAQCgaBfEAIjEAgEgn5BCIxAIBAI+gUhMAKBQCDoF4TACAQCgaBfEAIjEAgEgn7h/wfbzcdDROyvqQAAAABJRU5ErkJggg==", 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", 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", "text/plain": [ "
" ] @@ -440,7 +436,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/notebooks/06_PDE_Eigenvalue_Problems.ipynb b/docs/notebooks/06_PDE_Eigenvalue_Problems.ipynb index 58790fe1..74425faf 100644 --- a/docs/notebooks/06_PDE_Eigenvalue_Problems.ipynb +++ b/docs/notebooks/06_PDE_Eigenvalue_Problems.ipynb @@ -38,7 +38,15 @@ "execution_count": 1, "id": "001cbe0d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:jax._src.xla_bridge:CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], "source": [ "import numpy as np\n", "import jax.numpy as jnp\n", @@ -102,7 +110,7 @@ "def vfn(x):\n", " return (x * x).sum() / 2\n", "\n", - "V = cola.diag(vmap(vfn)(xyz).reshape(-1))" + "V = cola.ops.Diagonal(vmap(vfn)(xyz).reshape(-1))" ] }, { @@ -118,14 +126,21 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "id": "2b696c83", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c3decb9cc3d14a69acde5aa6322eff73", + "model_id": "5dde411b0bc14f10bea3b2ac0d886af0", "version_major": 2, "version_minor": 0 }, @@ -135,19 +150,11 @@ }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/marc_f/cola/cola/jax_fns.py:248: UserWarning: Explicitly requested dtype requested in array is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.\n", - " return jnp.array(arr, dtype=dtype)\n" - ] } ], "source": [ - "H = -L / 2 + V\n", - "energy_levels, eigenfunctions = cola.eig(cola.SelfAdjoint(H),max_iters=1000, tol=1e-4, method='iterative', pbar=True)\n", + "H = cola.SelfAdjoint(-L / 2 + V)\n", + "energy_levels, eigenfunctions = cola.eig(H,26,which='SM', alg=cola.Lanczos(max_iters=1000, tol=1e-4, pbar=True))\n", "eigenfunctions = eigenfunctions.to_dense()" ] }, @@ -164,13 +171,13 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "id": "c642575b", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -208,13 +215,13 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "id": "0c74eeef", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -279,7 +286,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/notebooks/07_second_order_optimization.ipynb b/docs/notebooks/07_second_order_optimization.ipynb index 3c9f7345..f72fab5f 100644 --- a/docs/notebooks/07_second_order_optimization.ipynb +++ b/docs/notebooks/07_second_order_optimization.ipynb @@ -25,7 +25,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -106,11 +106,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Epoch [100/500], Loss: 0.03136690706014633\n", - "Epoch [200/500], Loss: 0.023865504190325737\n", - "Epoch [300/500], Loss: 0.0195161085575819\n", - "Epoch [400/500], Loss: 0.018476305529475212\n", - "Epoch [500/500], Loss: 0.01864735223352909\n" + "Epoch [100/500], Loss: 0.0317324697971344\n", + "Epoch [200/500], Loss: 0.04851977527141571\n", + "Epoch [300/500], Loss: 0.019817877560853958\n", + "Epoch [400/500], Loss: 0.018510127440094948\n", + "Epoch [500/500], Loss: 0.017751768231391907\n" ] } ], @@ -254,24 +254,32 @@ "print(GN(flat_p).shape)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's check that the matrices are of a sensible scale via their largest eigenvalues:" + ] + }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "GN eigmax: 2.8530993461608887\n", - "Fisher eigmax: 0.5714094042778015\n" + "GN eigmax: 2.8789467811584473\n", + "Fisher eigmax: 0.5777260065078735\n" ] } ], "source": [ + "from cola import Auto\n", "with torch.no_grad():\n", - " print(f\"GN eigmax: {cola.eigmax(GN(flat_p), tol=1e-2)}\")\n", - " print(f\"Fisher eigmax: {cola.eigmax(Fisher(flat_p), tol=1e-2)}\")" + " print(f\"GN eigmax: {cola.eigmax(GN(flat_p), alg=Auto(tol=1e-2))}\")\n", + " print(f\"Fisher eigmax: {cola.eigmax(Fisher(flat_p), alg=Auto(tol=1e-2))}\")" ] }, { @@ -286,36 +294,36 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Epoch [10/500], Loss: 0.26283901929855347\n", - "Epoch [20/500], Loss: 0.0701749175786972\n", - "Epoch [30/500], Loss: 0.0304762851446867\n", - "Epoch [40/500], Loss: 0.020408356562256813\n", - "Epoch [50/500], Loss: 0.01758584752678871\n", - "Epoch [60/500], Loss: 0.016743283718824387\n", - "Epoch [70/500], Loss: 0.016443252563476562\n", - "Epoch [80/500], Loss: 0.01631205715239048\n", - "Epoch [90/500], Loss: 0.01624457724392414\n", - "Epoch [100/500], Loss: 0.016205497086048126\n" + "Epoch [10/500], Loss: 0.3142242431640625\n", + "Epoch [20/500], Loss: 0.08766728639602661\n", + "Epoch [30/500], Loss: 0.03646586090326309\n", + "Epoch [40/500], Loss: 0.022148877382278442\n", + "Epoch [50/500], Loss: 0.018077930435538292\n", + "Epoch [60/500], Loss: 0.01689857430756092\n", + "Epoch [70/500], Loss: 0.0165044367313385\n", + "Epoch [80/500], Loss: 0.016341200098395348\n", + "Epoch [90/500], Loss: 0.016260594129562378\n", + "Epoch [100/500], Loss: 0.016215266659855843\n" ] } ], "source": [ - "# Method 2: Hessian weighted Gauss Newton\n", + "from cola import Auto, CG\n", + "# Method 1: Hessian weighted Gauss Newton\n", "p = flat_p.clone()\n", "\n", "gnh_losses = []\n", "for epoch in range(epochs//5):\n", " with torch.no_grad(): # don't pay extra memory for recording the computation graph\n", " g = torch.func.grad(flat_loss)(p)\n", - " p -= cola.inv(GN(p),tol=1e-3, max_iters=30) @ g\n", - "\n", + " p -= cola.inv(GN(p),alg=Auto(tol=1e-3, max_iters=20)) @ g\n", " loss = flat_loss(p)\n", " gnh_losses.append(loss.item())\n", " if (epoch+1) % 10 == 0:\n", @@ -324,35 +332,35 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Epoch [10/500], Loss: 0.10438848286867142\n", - "Epoch [20/500], Loss: 0.022835807874798775\n", - "Epoch [30/500], Loss: 0.018048036843538284\n", - "Epoch [40/500], Loss: 0.01701301522552967\n", - "Epoch [50/500], Loss: 0.01663963496685028\n", - "Epoch [60/500], Loss: 0.016461661085486412\n", - "Epoch [70/500], Loss: 0.016362549737095833\n", - "Epoch [80/500], Loss: 0.016301268711686134\n", - "Epoch [90/500], Loss: 0.01626044698059559\n", - "Epoch [100/500], Loss: 0.01623169705271721\n" + "Epoch [10/500], Loss: 0.08653374761343002\n", + "Epoch [20/500], Loss: 0.023038014769554138\n", + "Epoch [30/500], Loss: 0.018084317445755005\n", + "Epoch [40/500], Loss: 0.0170273520052433\n", + "Epoch [50/500], Loss: 0.016643397510051727\n", + "Epoch [60/500], Loss: 0.01646246947348118\n", + "Epoch [70/500], Loss: 0.016362380236387253\n", + "Epoch [80/500], Loss: 0.016300752758979797\n", + "Epoch [90/500], Loss: 0.016259804368019104\n", + "Epoch [100/500], Loss: 0.016231024637818336\n" ] } ], "source": [ - "# Method 1: Gauss Newton\n", + "# Method 2: Natural gradient descent\n", "p = flat_p.clone()\n", "\n", "natural_gradient_losses = []\n", "for epoch in range(epochs//5):\n", " with torch.no_grad(): # don't pay extra memory for recording the computation graph\n", " g = torch.func.grad(flat_loss)(p)\n", - " p -= .5*cola.inv(Fisher(p),tol=1e-3, max_iters=30) @ g\n", + " p -= .5*cola.inv(Fisher(p),alg=Auto(tol=1e-3, max_iters=20)) @ g\n", "\n", " loss = flat_loss(p)\n", " natural_gradient_losses.append(loss.item())\n", @@ -369,22 +377,22 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -394,7 +402,6 @@ } ], "source": [ - "# choose some nice colors for the plot\n", "plt.plot(adam_losses, label='Adam', color='brown')\n", "plt.plot(natural_gradient_losses, label='Natural Gradient Descent', color='darkgreen')\n", "plt.plot(gnh_losses, label='Gauss-Newton Method', color='darkblue')\n", @@ -407,12 +414,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -446,7 +453,8 @@ " plt.show()\n", "\n", "# Plotting the decision boundaries\n", - "plot_decision_boundary(model, X, y)" + "from functools import partial\n", + "plot_decision_boundary(partial(stateless_model,p), X, y)" ] }, { @@ -473,7 +481,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/notebooks/09_hessian_spectrum.ipynb b/docs/notebooks/09_hessian_spectrum.ipynb index 136a36d5..184f2930 100644 --- a/docs/notebooks/09_hessian_spectrum.ipynb +++ b/docs/notebooks/09_hessian_spectrum.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -181,7 +181,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -200,18 +200,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now we will use Lanczos to compute an approximation to the Hessian eigenvalues. Setting the maximum iterations to $30$ in order for the computation to only take ~15 minutes, but with more time we can get more eigenvalues." + "Now we will use Lanczos to compute the largest 10 eigenvalues. Setting the maximum iterations to $30$ in order for the computation to only take ~15 minutes, but with more time we can get more eigenvalues." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "92483e6f20e24e029f64eca4d76558ee", + "model_id": "ec7c068136e447a29d8a3cb697f12c07", "version_major": 2, "version_minor": 0 }, @@ -224,24 +231,24 @@ } ], "source": [ - "eigs, eigvecs = cola.eig(H, max_iters=30, tol=1e-5, pbar=True)" + "eigs, eigvecs = cola.eig(H, 10, which='LM',alg=cola.Lanczos(max_iters=30, tol=1e-3, pbar=True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In this case we have computed the ritz values, which are good approximations for the eigenvalues for the largest and smallest magnitude eigenvalues. We can see the spectrum below." + "We can see the spectrum below." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -252,7 +259,7 @@ ], "source": [ "import matplotlib.pyplot as plt\n", - "plt.plot(eigs.cpu().data.numpy()/200)\n", + "plt.plot(eigs.cpu().data.numpy())\n", "plt.yscale('log')\n", "plt.ylabel('eigenvalues')\n", "plt.xlabel('index')\n", @@ -283,7 +290,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" }, "orig_nbformat": 4 }, diff --git a/docs/notebooks/10_vmap_jit_grad.ipynb b/docs/notebooks/10_vmap_jit_grad.ipynb index cc9a0469..e86f57ad 100644 --- a/docs/notebooks/10_vmap_jit_grad.ipynb +++ b/docs/notebooks/10_vmap_jit_grad.ipynb @@ -42,20 +42,28 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:jax._src.xla_bridge:CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], "source": [ "from jax import jit\n", "import numpy as np\n", "import jax.numpy as jnp\n", - "import jax.config as config\n", "# set cpu\n", - "config.update(\"jax_platform_name\", \"cpu\")\n", + "import jax\n", + "jax.config.update('jax_platform_name', 'cpu')\n", "import cola\n", "\n", "# construct a linear operator\n", "A = jnp.array(np.random.randn(2, 2))\n", "B = cola.SelfAdjoint(cola.lazify(A.T@A+ 1e-4*jnp.eye(2)))\n", - "D = cola.SelfAdjoint(cola.diag(jnp.array([3.,0.2, 1.])))\n", + "D = cola.SelfAdjoint(cola.ops.Diagonal(jnp.array([3.,0.2, 1.])))\n", "K = cola.kron(B,D)" ] }, @@ -68,30 +76,22 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/marc_f/anaconda3/envs/cola/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpeptest.py:311: BeartypeDecorHintPep585DeprecationWarning: PEP 484 type hint typing.Callable deprecated by PEP 585. This hint is scheduled for removal in the first Python version released after October 5th, 2025. To resolve this, import this hint from \"beartype.typing\" rather than \"typing\". For further commentary and alternatives, see also:\n", - " https://beartype.readthedocs.io/en/latest/api_roar/#pep-585-deprecations\n", - " warn(\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "error: 3.7252903e-09\n" + "error: 6.3414245e-07\n" ] } ], "source": [ + "from cola import Auto\n", "v = jnp.array(np.random.randn(6))\n", - "K_half_v = cola.sqrt(K, tol=1e-4)@v\n", - "Kv = cola.sqrt(K, tol=1e-4)@K_half_v\n", + "K_half_v = cola.sqrt(K)@v\n", + "Kv = cola.sqrt(K)@K_half_v\n", "print(\"error:\",jnp.linalg.norm(Kv - K@v))" ] }, @@ -104,34 +104,29 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[ 0.01154765 -0.10519305 0.08695581 0.12265506 0.49678737 -0.61266834]\n", - "[ 0.01154772 -0.10519368 0.08695581 0.12265505 0.49678725 -0.61266834]\n" + "[ 0.13759953+0.j -0.94336665+0.j 0.3768798 +0.j -0.16725242+0.j\n", + " -0.26825097+0.j 0.15196525+0.j]\n", + "[ 0.13759911+0.j -0.94336635+0.j 0.3768798 +0.j -0.16725181+0.j\n", + " -0.26825133+0.j 0.15196525+0.j]\n" ] } ], "source": [ "@jit\n", "def sqrt_mvm(K, v):\n", - " return cola.sqrt(K, tol=1e-4)@v\n", + " return cola.sqrt(K, Auto(tol=1e-4))@v\n", "\n", "print(sqrt_mvm(K,v))\n", "print(sqrt_mvm(4*K,v)/2)" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -148,23 +143,23 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([[1.8414, 0.6225, 0.8826, 0.0000, 0.0000],\n", - " [0.6225, 2.4913, 1.5865, 0.0000, 0.0000],\n", - " [0.8826, 1.5865, 3.7751, 0.0000, 0.0000],\n", - " [0.0000, 0.0000, 0.0000, 1.8414, 0.6225],\n", - " [0.0000, 0.0000, 0.0000, 0.6225, 2.4913]])\n", - "tensor([[1.8414, 0.0000, 0.0000, 0.0000, 0.0000],\n", - " [0.0000, 2.4913, 0.0000, 0.0000, 0.0000],\n", - " [0.0000, 0.0000, 3.7751, 0.0000, 0.0000],\n", - " [0.0000, 0.0000, 0.0000, 1.8414, 0.0000],\n", - " [0.0000, 0.0000, 0.0000, 0.0000, 2.4913]])\n" + "tensor([[4.3080, 2.7321, 1.8498, 0.0000, 0.0000],\n", + " [2.7321, 5.7340, 3.7580, 0.0000, 0.0000],\n", + " [1.8498, 3.7580, 6.7027, 0.0000, 0.0000],\n", + " [0.0000, 0.0000, 0.0000, 4.3080, 2.7321],\n", + " [0.0000, 0.0000, 0.0000, 2.7321, 5.7340]])\n", + "tensor([[4.3080, 0.0000, 0.0000, 0.0000, 0.0000],\n", + " [0.0000, 5.7340, 0.0000, 0.0000, 0.0000],\n", + " [0.0000, 0.0000, 6.7027, 0.0000, 0.0000],\n", + " [0.0000, 0.0000, 0.0000, 4.3080, 0.0000],\n", + " [0.0000, 0.0000, 0.0000, 0.0000, 5.7340]])\n" ] } ], @@ -177,10 +172,10 @@ " X = cola.lazify(X)\n", " Y = X@X.T\n", " Y = cola.PSD(Y+cola.ops.I_like(Y))\n", - " D = cola.PSD(cola.diag(torch.linspace(0.1,1,2)))\n", + " D = cola.PSD(cola.ops.Diagonal(torch.linspace(0.1,1,2)))\n", " W = cola.ops.BlockDiag(Y,D, multiplicities=[2, 1])\n", " diag_W = cola.diag(W)\n", - " return W, cola.PSD(cola.diag(diag_W))\n", + " return W, cola.PSD(cola.ops.Diagonal(diag_W))\n", "\n", "W,diag_W = construct_complicated_linops(torch.randn(3,3))\n", "print(W[:5,:5].to_dense())\n", @@ -196,13 +191,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "def perform_operations(W,D,v):\n", " P = cola.pow(D, -0.5) # D^{-1/2}\n", - " y = P@cola.inv(P@W@P,tol=1e-4)@P@v\n", + " y = P@cola.inv(P@W@P,Auto(tol=1e-4))@P@v\n", " return y " ] }, @@ -217,7 +212,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -234,14 +229,14 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(12, 12) \n", + "(12, 12) \n", "(12, 12) \n" ] } @@ -260,7 +255,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -269,7 +264,7 @@ "torch.Size([3, 12])" ] }, - "execution_count": 26, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -287,7 +282,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -314,7 +309,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -334,23 +329,6 @@ "except RuntimeError as e:\n", " print(\"raised exception:\", e)" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Gradients and PyTrees (jax example)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] } ], "metadata": { @@ -369,7 +347,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/notebooks/Adding_Linear_Operators.ipynb b/docs/notebooks/Adding_Linear_Operators.ipynb index c05f362f..06f0cc01 100644 --- a/docs/notebooks/Adding_Linear_Operators.ipynb +++ b/docs/notebooks/Adding_Linear_Operators.ipynb @@ -8,8 +8,8 @@ "source": [ "# Implementing new Linear Operators and Dispatch Rules\n", "\n", - "Implementing new linear operators in CoLA requires specifying its `shape`, `dtype`, and `matmat` functions.\n", - "For doing so (like with scipy LinearOperator), there are two ways of doing so." + "Implementing new linear operators in CoLA requires specifying a `shape`, `dtype`, and `matmat` functions.\n", + "Llike with scipy LinearOperator, there are two ways of doing so." ] }, { @@ -94,13 +94,6 @@ "id": "384a1883", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:jax._src.xla_bridge:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -134,7 +127,7 @@ "id": "85a0bb6f", "metadata": {}, "source": [ - "Implementing new dispatch rules for existing functions is easy, simply import that function `fn` into the namespace and use the `@fn.dispatch` decorator with the types that you want to dispatch on.\n", + "Implementing new dispatch rules for existing functions is easy, simply wrap the new function with a `cola.dispatch` decorator and define the functionality for a given `LinearOperator` and a given `Algorithm`. If you don't have a specific algorithm to use (as below) simply ensure that `alg: Algorithm` is part of the function's signature.\n", "\n", "Here we will extend inverse for the `MyDiagonal` object." ] @@ -156,14 +149,16 @@ } ], "source": [ - "from cola import inv\n", + "from cola.linalg import inv\n", + "from cola.linalg.algorithm_base import Algorithm\n", "\n", - "@inv.dispatch\n", - "def inv(A: MyDiagonal, **kwargs):\n", + "@cola.dispatch\n", + "def inv(A: MyDiagonal, alg: Algorithm):\n", " print(\"Called my inverse\")\n", - " return MyDiagonal(1/A.diag)\n", + " return MyDiagonal(1 / A.diag)\n", + "\n", "\n", - "A = MyDiagonal(torch.arange(1,500000))\n", + "A = MyDiagonal(torch.arange(1, 500000))\n", "invA = inv(A)\n", "print(invA)" ] @@ -187,20 +182,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "I overrided dense inverse\n", + "I overrided the dense inverse\n", "tensor([[-2.0000, 1.0000],\n", " [ 1.5000, -0.5000]])\n" ] } ], "source": [ - "@inv.dispatch\n", - "def inv(A: cola.ops.Dense):\n", - " print(\"I overrided dense inverse\")\n", + "@cola.dispatch\n", + "def inv(A: cola.ops.Dense, alg: Algorithm):\n", + " print(\"I overrided the dense inverse\")\n", " return cola.ops.Dense(torch.linalg.inv(A.to_dense()))\n", "\n", - "A = cola.ops.Dense(torch.arange(1,5).reshape(2,2).float())\n", - "print(inv(A).to_dense())" + "\n", + "A = cola.ops.Dense(torch.arange(1, 5).reshape(2, 2).float())\n", + "invA = inv(A)\n", + "print(invA.to_dense())" ] }, { @@ -233,16 +230,17 @@ "@cola.dispatch\n", "def rowsum(A: cola.ops.LinearOperator):\n", " print(\"dispatched base case\")\n", - " return A @ A.xnp.ones(A.shape[:1],dtype=A.dtype, device=A.device)\n", + " return A @ A.xnp.ones(A.shape[:1], dtype=A.dtype, device=A.device)\n", + "\n", "\n", "@cola.dispatch\n", "def rowsum(A: MyDiagonal):\n", " print(\"dispatched on MyDiagonal\")\n", " return A.diag\n", "\n", + "\n", "A = MyDiagonal(torch.arange(5))\n", - "print(rowsum(A))\n", - "\n" + "print(rowsum(A))" ] }, { @@ -261,7 +259,7 @@ } ], "source": [ - "print(rowsum(cola.ops.Dense(torch.arange(4).reshape(2,2))))" + "print(rowsum(cola.ops.Dense(torch.arange(4).reshape(2, 2))))" ] }, { diff --git a/docs/notebooks/Linalg_operations_walkthrough.ipynb b/docs/notebooks/Linalg_operations_walkthrough.ipynb index 5ce9da8b..b3c904e6 100644 --- a/docs/notebooks/Linalg_operations_walkthrough.ipynb +++ b/docs/notebooks/Linalg_operations_walkthrough.ipynb @@ -7,7 +7,7 @@ "source": [ "# Walkthrough of Linear Algebra Functionality\n", "\n", - "With this section we will explore how to use various linear algebra operations with an emphasis on the dense and iterative base cases, rather than the dispatch rules. For high level operations like `solve`, `sqrt`, `logdet`, `eigs`, `exp`, `trace` the specific functions we call are listed in [high-level API](https://cola.readthedocs.io/en/latest/package/cola.linalg.html), and low level iterative functions that help implement these operations such as `cg`, `gmres`, `lanczos`, `approx_diag`, `stochastic_lanczos_quadrature` are listed in [algorithms](https://cola.readthedocs.io/en/latest/package/cola.algorithms.html). These low level algorithms can also be called explicitly, but they will not be able to leverage our dispatch rules, and they sometimes require more involvement and knowledge from the user." + "With this section we will explore how to use various linear algebra operations with an emphasis on the dense and iterative base cases, rather than the dispatch rules. For high level operations like `solve`, `sqrt`, `logdet`, `eigs`, `exp`, `trace` the specific functions we call are listed in [high-level API](https://cola.readthedocs.io/en/latest/package/cola.linalg.html), and low level iterative functions that help implement these operations such as `cg`, `gmres`, `lanczos`, `approx_diag`, `stochastic_lanczos_quadrature`. These low level algorithms can also be called explicitly, but they will not be able to leverage our dispatch rules, and they sometimes require more involvement and knowledge from the user." ] }, { @@ -29,16 +29,16 @@ "import numpy as np\n", "import cola\n", "\n", - "N=2000\n", + "N = 200\n", "U = cola.lazify(torch.randn(N, 5))\n", "V = cola.lazify(torch.randn(N, 5))\n", - "D = cola.diag(torch.linspace(1, 100, N))\n", + "D = cola.ops.Diagonal(torch.linspace(1, 100, N))\n", "\n", - "A = U @ U.T + D # a PSD matrix\n", - "B = U @ V.T + D # a generic square matrix\n", - "C = V.T @ D # a generic rectangular matrix\n", + "A = U @ U.T + D # a PSD matrix\n", + "B = U @ V.T + D # a generic square matrix\n", + "C = V.T @ D # a generic rectangular matrix\n", "\n", - "x = torch.ones(N) # test vector x" + "x = torch.ones(N) # test vector x" ] }, { @@ -98,7 +98,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -159,7 +159,7 @@ "id": "4fc78f9f", "metadata": {}, "source": [ - "However with `cola.linalg.inv` we can examine the properties of the solve like the number of iterations it as taken to converge. Instead using the default `method=auto`, let's explicitly pick `method=dense` to use a dense $O(n^3)$ method or `method=iterative` to use an iterative $O(\\tau \\sqrt{\\kappa}\\log 1/\\epsilon)$ where $\\tau$ is the time for an MVM with $A$, $\\kappa$ is the condition number of $A$ and $\\epsilon$ is the desired error tolerance." + "However with `cola.linalg.inv` we can examine the properties of the solve like the number of iterations it as taken to converge. Instead using the default `alg=Auto()`, let's explicitly pick `alg=Cholesky()` to use a dense $O(n^3)$ method or `alg=CG()` to use an iterative $O(\\tau \\sqrt{\\kappa}\\log 1/\\epsilon)$ where $\\tau$ is the time for an MVM with $A$, $\\kappa$ is the condition number of $A$ and $\\epsilon$ is the desired error tolerance." ] }, { @@ -172,18 +172,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "With dense: Ainv of type \n", - "With iterative: Ainv of type \n", - "Computed inverse in 119 iters with error 8.7e-07\n" + "With : Ainv of type \n", + "With CG(tol=1e-06, max_iters=1000, pbar=False, x0=None, P=None): Ainv of type \n", + "Computed inverse in 69 iters with error 1.9e-06\n" ] } ], "source": [ - "for method in ['dense','iterative']:\n", - " Ainv = cola.linalg.inv(A, method=method)\n", - " y = Ainv@x\n", - " print(f\"With {method}: Ainv of type {type(Ainv)}\")\n", - " if method == 'iterative':\n", + "for alg in [cola.Cholesky(), cola.CG()]:\n", + " Ainv = cola.linalg.inv(A, alg=alg)\n", + " y = Ainv @ x\n", + " print(f\"With {alg}: Ainv of type {type(Ainv)}\")\n", + " if isinstance(alg, cola.CG):\n", " print(f\"Computed inverse in {Ainv.info['iterations']} iters with error {Ainv.info['errors'][-1]:.1e}\")" ] }, @@ -195,7 +195,7 @@ "In the dense case the `inverse` LinearOperator is computed via Cholesky decomposition\n", "$A = LL^T$, and then using $A^{-1} = L^{-T}L^{-1}$ where $L^{-1}$ simply means a Linear Operator that performs triangular solves with $L$. We can see this reflected in the type of `Ainv`.\n", "\n", - "Meanwhile `iterative` uses Conjugate Gradients to perform multiplies with $A^{-1}$. With the iterative methods one often may want to specify an error tolerance or a maximum number of iterations to limit the computation." + "Meanwhile the iterative algorithm uses Conjugate Gradients to perform multiplies with $A^{-1}$. With the iterative methods one often may want to specify an error tolerance or a maximum number of iterations to limit the computation." ] }, { @@ -208,13 +208,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Computed inverse in 60 iters with error 8.4e-04\n" + "Computed inverse in 85 iters with error 1.4e-08\n" ] } ], "source": [ - "Ainv = cola.linalg.inv(A, method='iterative', tol=1e-3, max_iters=100)\n", - "y = Ainv@x\n", + "Ainv = cola.linalg.inv(A, cola.CG(tol=1e-8, max_iters=1_000))\n", + "y = Ainv @ x\n", "print(f\"Computed inverse in {Ainv.info['iterations']} iters with error {Ainv.info['errors'][-1]:.1e}\")" ] }, @@ -246,22 +246,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "With dense: Ainv of type \n", - "With iterative: Ainv of type \n", + "With : Ainv of type \n", + "With GMRES(tol=0.001, max_iters=100, pbar=False, x0=None, P=None): Ainv of type \n", "Computed inverse in 101 iters with error 2.5e+01\n", - "Actual residual error: tensor(0.0027)\n" + "Actual residual error: 1.490e-04\n" ] } ], "source": [ - "for method in ['dense','iterative']:\n", - " Binv = cola.linalg.inv(B, method=method, tol=1e-3, max_iters=100)\n", - " y = Binv@x\n", - " print(f\"With {method}: Ainv of type {type(Binv)}\")\n", - " if method == 'iterative':\n", + "for alg in [cola.LU(), cola.GMRES(tol=1e-3, max_iters=100)]:\n", + " Binv = cola.linalg.inv(B, alg=alg)\n", + " y = Binv @ x\n", + " print(f\"With {alg}: Ainv of type {type(Binv)}\")\n", + " if isinstance(alg, cola.GMRES):\n", " print(f\"Computed inverse in {Binv.info['iterations']} iters with error {Binv.info['errors'][-1]:.1e}\")\n", "\n", - "print(\"Actual residual error:\", torch.linalg.norm(B @ y - x) / torch.linalg.norm(x))" + "print(f\"Actual residual error: {torch.linalg.norm(B @ y - x) / torch.linalg.norm(x):1.3e}\")" ] }, { @@ -269,10 +269,9 @@ "id": "df0fbbc9", "metadata": {}, "source": [ - "We can observe a few things here.\n", - "In the dense case, CoLA performs a PLU decomposition $B=P^{-1}LU$ and then computes the inverse as $U^{-1}L^{-1}P$ again using the implicit triangular solves, but this time combined with a permutation inverse.\n", + "In the first case, CoLA performs a PLU decomposition $B=P^{-1}LU$ and then computes the inverse as $U^{-1}L^{-1}P$ again using the implicit triangular solves, but this time combined with a permutation inverse.\n", "\n", - "In the iterative case, CoLA uses GMRES. Notably GMRES uses Arnoldi as a component of the algorithm, and the convergence criteria for Arnoldi depends on more than just residual errors that we care about for the linear solve. As a result of this more stringent convergence criteria, GMRES hits max_iters before stopping from the Arnoldi convergence tolerance, and the errors can be more easily controlled via changing max_iters.\n", + "In the second case, CoLA uses GMRES. Notably GMRES uses Arnoldi as a component of the algorithm, and the convergence criteria for Arnoldi depends on more than just residual errors that we care about for the linear solve. As a result of this more stringent convergence criteria, GMRES hits `max_iters` before stopping from the Arnoldi convergence tolerance, and the errors can be more easily controlled via changing `max_iters`.\n", "\n", "In general CG has much more favorable properties over GMRES since with GMRES the memory requirement will grow with the number of iterations as will the compute, and hence if a matrix is PSD annotating it as such is highly preferable." ] @@ -287,9 +286,9 @@ "Broadly we can consider many functions linear algebra operations $A^{1/2}$, $\\exp(A)$, $\\log(A)$\n", "as instances of $f(A)$ where $f$ is assumed to have a convergent Taylor expansion within the bounds of the spectrum of $A$.\n", "\n", - "For 'method = dense', we compute these functions performing an eigendecomposition $A=P\\Lambda P^{-1}$ and evaluate $f(A)=P f(\\Lambda) P^{-1}$, and this runs in time $O(n^3)$.\n", + "For `alg = Auto()`, we compute these functions performing an eigendecomposition $A=P\\Lambda P^{-1}$ and evaluate $f(A)=P f(\\Lambda) P^{-1}$, and this runs in time $O(n^3)$.\n", "\n", - "For 'method = iterative', we evaluate matrix vector products $f(A)v$ using the Lanczos and Arnoldi processes starting with the vector $v$. Running in time $O(\\tau \\sqrt{\\kappa}\\log 1/\\epsilon+m^3+mn)$ where $m$ is `max_iters`, this approach gives $\\epsilon$ accurate evaluation of $f(A)v$. (With some extra effort the $m^3$ term can be reduced to $m^2$ but we have not yet implemented this optimization.)\n", + "For `alg = Lanczos()` or `alg = Arnoldi()`, we evaluate matrix vector products $f(A)v$ using the Lanczos and Arnoldi processes starting with the vector $v$. Running in time $O(\\tau \\sqrt{\\kappa}\\log 1/\\epsilon+m^3+mn)$ where $m$ is `max_iters`, this approach gives $\\epsilon$ accurate evaluation of $f(A)v$. (With some extra effort the $m^3$ term can be reduced to $m^2$ but we have not yet implemented this optimization.)\n", "\n", "For different $v$ the process will be run again, as Lanczos needs $v$ to construct a low error approximation." ] @@ -301,7 +300,7 @@ "source": [ "### SelfAdjoint\n", "\n", - "Whether CoLA uses the more efficient Lanczos process or more costly version using Arnoldi depends on whether or not the matrix is `SelfAdjoint` (which gauruntees an orthogonal eigenbasis). `SelfAdjoint` is considered a superset of `PSD`." + "Whether CoLA uses the more efficient Lanczos process or more costly version using Arnoldi depends on whether or not the matrix is `SelfAdjoint` (which guarantees an orthogonal eigenbasis). `SelfAdjoint` is considered a superset of `PSD`." ] }, { @@ -331,29 +330,29 @@ "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "/home/ubu/venv/cola/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpeptest.py:311: BeartypeDecorHintPep585DeprecationWarning: PEP 484 type hint typing.Callable deprecated by PEP 585. This hint is scheduled for removal in the first Python version released after October 5th, 2025. To resolve this, import this hint from \"beartype.typing\" rather than \"typing\". For further commentary and alternatives, see also:\n", - " https://beartype.readthedocs.io/en/latest/api_roar/#pep-585-deprecations\n", - " warn(\n" + "S with method=Auto() is of type \n", + "error in sqrt: tensor(2.0802e-06)\n", + "S with method=Lanczos(start_vector=None, max_iters=100, tol=0.0001, pbar=False) is of type \n", + "error in sqrt: tensor(1.9483e-06)\n" ] }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "S with method=dense is of type \n", - "error in sqrt: tensor(4.3223e-06)\n", - "S with method=iterative is of type \n", - "error in sqrt: tensor(1.2071e-05)\n" + "/home/ubu/venv/cola/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpeptest.py:311: BeartypeDecorHintPep585DeprecationWarning: PEP 484 type hint typing.Callable deprecated by PEP 585. This hint is scheduled for removal in the first Python version released after October 5th, 2025. To resolve this, import this hint from \"beartype.typing\" rather than \"typing\". For further commentary and alternatives, see also:\n", + " https://beartype.readthedocs.io/en/latest/api_roar/#pep-585-deprecations\n", + " warn(\n" ] } ], "source": [ - "for method in ['dense', 'iterative']:\n", - " S = cola.linalg.sqrt(A,tol=1e-4, max_iters=100, method=method)\n", - " print(f\"S with method={method} is of type {type(S)}\")\n", + "for alg in [cola.Auto(), cola.Lanczos(tol=1e-4, max_iters=100)]:\n", + " S = cola.linalg.sqrt(A, alg=alg)\n", + " print(f\"S with method={alg} is of type {type(S)}\")\n", " print(\"error in sqrt:\", torch.linalg.norm(S @ (S @ x) - A @ x) / torch.linalg.norm(A @ x))" ] }, @@ -375,23 +374,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "tensor([[0.3532, 0.0026],\n", - " [0.0026, 0.3468]])\n", - "tensor([[ 0.0565, -0.0104],\n", - " [-0.0104, 0.0613]])\n", - "tensor([[ 2.6618e+30, -5.8898e+29],\n", - " [-5.8899e+29, 4.6795e+29]])\n", - "tensor([[37.2876, 4.1426],\n", - " [ 4.1389, 18.6928]])\n" + "tensor([[ 0.2103, -0.0531],\n", + " [-0.0531, 0.1666]])\n", + "tensor([[0.6478, 0.3039],\n", + " [0.3039, 0.7369]])\n", + "tensor([[1.7403e+23, 1.8028e+23],\n", + " [1.8028e+23, 1.9524e+23]])\n", + "tensor([[ 2.2539, -0.7511],\n", + " [-0.7511, 1.4565]])\n" ] } ], "source": [ "expA = cola.linalg.exp(-A)\n", "logA = cola.linalg.log(A)\n", - "Apow10 = cola.linalg.pow(A,10)\n", + "Apow10 = cola.linalg.pow(A, 10)\n", "resolvent = cola.linalg.apply_unary(lambda x: 1 / (x - 1), A)\n", - "[print(op[:2, :2].to_dense()) for op in [expA, logA, Apow10, resolvent]];" + "for op in [expA, logA, Apow10, resolvent]:\n", + " print(op[:2, :2].to_dense())" ] }, { @@ -409,22 +409,31 @@ "id": "31efd212", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/ubu/cola/cola/backends/torch_fns.py:101: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at ../aten/src/ATen/native/Copy.cpp:299.)\n", + " p_ids = (P @ torch.arange(P.shape[-1]).to(P.device, P.dtype)).to(torch.long)\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "tensor([[0.5433-0.2177j, 0.1783+0.2979j],\n", - " [0.0123+0.0198j, 0.9617+0.3228j]])\n", - "tensor([[ -966.8961-0.0044j, -3458.3843+0.0029j],\n", - " [ 502.8666+0.0023j, 1800.1865-0.0015j]])\n", - "tensor([[-4.5568e+19+7.3757e+13j, -2.5659e+19+1.9980e+14j],\n", - " [ 1.6862e+19-2.5976e+13j, 9.4118e+18-7.5235e+13j]])\n" + "tensor([[ 2.3205+4.6194e-07j, -0.6258+2.6822e-07j],\n", + " [ 1.8426+4.8429e-07j, 0.8871+2.2352e-07j]])\n", + "tensor([[ 686.1265-7.6294e-05j, -168.1782+3.0816e-05j],\n", + " [ 567.8098-4.5776e-05j, -364.0045-1.8716e-05j]])\n", + "tensor([[ 1.4590e+18+2.1475e+10j, -9.3808e+18+2.3782e+12j],\n", + " [ 1.0919e+18-9.4489e+10j, -4.7317e+18+1.8495e+12j]])\n" ] } ], "source": [ "ops = [cola.linalg.sqrt(B), cola.linalg.exp(-B), cola.linalg.pow(B, 10)]\n", - "[print(op[:2, :2].to_dense()) for op in ops];" + "for op in ops:\n", + " print(op[:2, :2].to_dense())" ] }, { @@ -434,11 +443,11 @@ "source": [ "## Trace and Diagonal estimation\n", "\n", - "Unlike for Dense matrices, evaluating the trace or diagonal of a LinearOperators can be difficult (consider for example the diagonal of the Hessian of a neural network). Depending on the needs for the problem at hand we provide multiple different solutions:\n", + "Unlike for dense matrices, evaluating the trace or diagonal of a `LinearOperators` can be difficult (consider for example the diagonal of the Hessian of a neural network). Depending on the needs for the problem at hand we provide multiple different solutions:\n", "- an exact $O(n\\tau)$ compute and $O(\\tau)$ memory evaluation which loops over the basis elements $A_{ii} = e_i^TAe_i$\n", "- an stochastic Hutchinson estimator which is unbiased (always), but has runtime $O(1/\\delta^2)$ where $\\delta$ is the desired tolerance for the standard deviation of the estimate.\n", "\n", - "These can be chosen directly by specifying `method=exact`, `method=approx` or by letting the algorithm decide which will be faster based on the specified tolerance for the standard deviation `tol`. In general for methods which only need stochastic estimates (such as to be used in SGD) or only need one or two digits of precision, then the stochastic estimator will be faster.\n", + "These can be chosen directly by specifying `alg = Exact()`, `alg = Hutch()` or by letting the algorithm decide which will be faster `alg = Auto()` based on the specified tolerance for the standard deviation `tol`. In general for methods which only need stochastic estimates (such as to be used in SGD) or only need one or two digits of precision, then the stochastic estimator will be faster.\n", "\n", "We can use either of these two methods for\n", "- computing the trace\n", @@ -456,13 +465,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "exact trace: 110965.4765625, stochastic trace: 110981.0\n" + "exact trace: 11207.5498046875, stochastic trace: 11210.9033203125\n" ] } ], "source": [ - "exact = cola.linalg.trace(A)\n", - "approx = cola.linalg.trace(A, method='approx', tol=3e-2)\n", + "exact = cola.linalg.trace(A, alg=cola.Exact())\n", + "approx = cola.linalg.trace(A, alg=cola.Hutch(tol=3e-2))\n", "print(f\"exact trace: {exact}, stochastic trace: {approx}\")" ] }, @@ -476,8 +485,75 @@ "name": "stdout", "output_type": "stream", "text": [ - "diagonal: tensor([ 4.6068, 1.8986, 11.3133, ..., 101.1196, 105.8028, 108.4426])\n", - "off-diagonal: tensor([-0.7107, 1.8426, 0.0810, ..., 0.0902, -0.2768, 0.9027])\n" + "diagonal: tensor([ 8.5118, 7.3608, 7.6542, 5.3548, 19.0612, 6.4097, 9.7575,\n", + " 9.3554, 8.1646, 8.7194, 9.9059, 18.2854, 12.0774, 10.2313,\n", + " 11.9585, 11.6125, 21.9750, 11.9402, 15.4233, 15.2707, 12.4610,\n", + " 22.2939, 17.6396, 17.7406, 17.1853, 18.1922, 16.9665, 16.7785,\n", + " 17.1129, 24.1279, 24.2655, 20.6261, 30.2835, 25.2488, 22.8829,\n", + " 21.5087, 32.3452, 21.1568, 22.0920, 26.7968, 23.7173, 25.8120,\n", + " 28.0823, 25.8921, 29.1320, 25.5530, 26.5214, 30.8620, 25.8763,\n", + " 29.4752, 27.4093, 29.1308, 29.8036, 31.7998, 31.0898, 37.9161,\n", + " 36.4030, 31.3916, 31.9861, 37.5207, 40.0409, 38.4947, 39.8926,\n", + " 36.0543, 34.5295, 40.3930, 36.6227, 39.6822, 37.7233, 35.6859,\n", + " 43.5714, 46.2801, 46.4217, 41.1966, 45.3633, 40.9981, 41.2265,\n", + " 44.7463, 53.7195, 47.1256, 46.2465, 44.3040, 42.5806, 52.0961,\n", + " 45.1239, 47.3316, 48.3270, 56.3554, 48.5199, 51.2425, 50.5862,\n", + " 60.9226, 49.5557, 47.8160, 53.8036, 59.4363, 57.2788, 56.2419,\n", + " 56.7123, 57.7423, 53.7828, 59.3607, 56.2272, 64.2254, 56.6092,\n", + " 65.7697, 54.5191, 59.3984, 58.8306, 57.5462, 62.9409, 65.3171,\n", + " 75.3433, 59.4735, 65.2470, 60.6562, 65.1781, 65.6146, 68.9406,\n", + " 69.9885, 73.6313, 65.3591, 64.2916, 66.5440, 72.6440, 68.2763,\n", + " 66.7878, 66.3294, 71.9146, 71.1690, 70.9741, 68.7452, 82.5140,\n", + " 71.5895, 78.3163, 70.6314, 71.6406, 77.4104, 72.2250, 77.0280,\n", + " 73.4117, 75.4781, 82.2615, 77.7552, 74.7615, 77.1487, 84.0647,\n", + " 77.4321, 82.0002, 82.1438, 78.9036, 78.4603, 78.7670, 85.3516,\n", + " 88.9480, 80.9072, 82.9142, 82.9673, 90.1816, 86.2896, 82.0797,\n", + " 85.9348, 82.7690, 87.6654, 86.7496, 90.5796, 88.2644, 86.2070,\n", + " 89.0124, 88.8021, 86.6497, 93.3623, 91.8149, 95.2812, 96.5947,\n", + " 89.7338, 93.2476, 92.0821, 97.3608, 95.8187, 95.3042, 97.2232,\n", + " 93.6238, 96.4429, 103.5226, 95.2086, 96.9995, 99.2942, 96.2102,\n", + " 99.1804, 99.8973, 107.0359, 97.8000, 103.5394, 101.4755, 99.7733,\n", + " 101.5736, 108.3602, 104.8761, 102.9599])\n", + "off-diagonal: tensor([ 5.4098e+00, -2.3565e+00, 2.1375e+00, -1.5303e+00, 5.4326e+00,\n", + " 2.6653e+00, 3.3794e+00, 2.5149e+00, 2.7378e+00, 2.5573e+00,\n", + " -8.3340e-01, -3.4569e+00, -2.2258e-01, -2.4627e+00, -5.5316e-01,\n", + " -3.9379e-01, 2.5767e+00, -3.2219e+00, -2.7628e+00, 1.2039e+00,\n", + " 3.1580e+00, -2.4235e+00, -5.5459e-01, -8.2220e-01, -1.1991e+00,\n", + " -1.5784e+00, 2.3253e-01, 1.1821e+00, -2.5081e+00, -3.2412e+00,\n", + " -9.1381e-01, -3.2497e+00, 8.0047e+00, -5.4489e+00, -1.3657e+00,\n", + " -3.4058e+00, 4.3618e-02, -2.6919e-01, 6.9709e-02, 1.9282e+00,\n", + " -8.2027e-01, 1.1378e+00, -2.2030e+00, 3.8169e+00, -1.5222e+00,\n", + " 5.2708e-01, 2.7213e+00, -1.5804e-01, -1.7926e+00, -6.7458e-01,\n", + " -3.9837e-02, -2.7240e+00, -1.6068e+00, 1.4020e+00, -1.3658e+00,\n", + " -3.5227e-01, 3.8906e-01, 1.5199e+00, -1.5219e+00, -1.7110e+00,\n", + " 7.8942e-01, 4.7879e-01, 1.8430e+00, 2.0734e+00, -4.5239e-01,\n", + " -1.7555e+00, -3.0878e+00, -5.6006e-01, -1.3585e-01, -9.7462e-01,\n", + " 2.5394e+00, -6.5051e+00, -1.5850e+00, -8.1986e-02, -3.6340e+00,\n", + " 7.5364e-02, 2.3323e-02, -5.0638e+00, 9.3752e+00, 2.6730e+00,\n", + " -4.8874e-01, 6.4025e-01, -2.4747e+00, -1.7823e+00, -9.1593e-02,\n", + " -7.7965e-01, 5.6591e+00, -3.8323e+00, -2.0298e+00, -1.4195e+00,\n", + " -6.2768e-01, 4.0493e+00, -3.2138e-01, -1.0671e+00, 1.0682e+00,\n", + " 6.8565e+00, 4.9748e+00, -3.2068e+00, 5.4496e+00, -2.8033e-03,\n", + " -3.6221e+00, -1.1001e+00, 1.4346e+00, -7.6809e-01, 4.9448e+00,\n", + " 2.6304e+00, 6.8537e-01, -1.2727e+00, 8.8673e-01, 1.2259e+00,\n", + " -9.7530e-02, 4.8972e+00, 1.9835e+00, -3.0567e+00, 1.9151e+00,\n", + " 2.3309e+00, -2.0069e+00, -6.4053e+00, -2.1000e+00, -6.4842e+00,\n", + " 1.6885e+00, -2.2382e+00, -1.4906e+00, 1.7551e+00, -1.2747e+00,\n", + " -8.2681e-01, -2.4029e+00, 4.7710e-01, -3.3622e+00, 7.8385e-02,\n", + " -1.1262e+00, -3.8599e-02, -4.8654e+00, -6.5824e+00, -7.0692e-01,\n", + " 1.5344e+00, -1.4729e+00, 1.9749e+00, -1.6118e+00, -2.2130e+00,\n", + " 2.6464e+00, -1.0389e+00, -2.9799e+00, 2.4764e+00, -1.8658e+00,\n", + " 2.1516e+00, -3.2745e+00, 1.9874e+00, -2.1297e+00, 1.9302e+00,\n", + " 8.3467e-01, 1.2279e+00, 3.3645e-01, -1.4170e+00, -3.3533e-01,\n", + " 9.3108e-01, -3.6564e+00, -8.5537e-01, 5.9034e+00, -4.1498e-01,\n", + " -1.6407e-01, 1.7689e+00, -7.5038e-01, 7.1956e-01, 2.3514e+00,\n", + " -2.6611e-01, -1.5008e+00, 2.9730e-01, 2.8366e+00, -8.0547e-01,\n", + " 1.3469e+00, 7.3975e-01, -1.9789e+00, 1.8038e+00, 3.1107e-02,\n", + " 1.5660e+00, 3.9531e-01, -1.7827e+00, -4.5978e+00, 3.6314e-01,\n", + " 3.0618e+00, -1.5430e+00, -1.3355e+00, -4.0151e+00, -1.1331e+00,\n", + " 1.1944e+00, 7.2848e-01, 2.5606e+00, -3.9122e-01, -3.8557e+00,\n", + " -3.7839e+00, -3.3416e-01, -1.8735e+00, 1.9559e+00, -2.3395e+00,\n", + " -1.7063e-01, 3.3771e+00, -2.2266e+00, 1.4054e+00])\n" ] } ], @@ -501,9 +577,7 @@ "\n", "In the special case where only unbiased estimates (or a small number of significant digits) are required for the given use case, we can leverage [stochastic lanczos quadrature](https://www-users.cse.umn.edu/~saad/PDF/ys-2016-04.pdf) to get an improved convergence rate.\n", "\n", - "This choice is exposed to the user through the `method=iterative-stochastic` vs `method=iterative-exact` options in `logdet` and `slogdet`. If not chosen then they will be chosen automatically based on the selected `vtol` which chooses the \"variance\" tolerance specifying the standard deviation of the estimate.\n", - "\n", - "For stochastic estimation, a key (`long` for pytorch, `PRNGKey` for jax) should be provided to explicitly to seed the randomness." + "This choice is exposed to the user through the `log_alg` vs `trace_alg` options in `logdet` and `slogdet`." ] }, { @@ -516,16 +590,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "Tr(log(A)) tensor(7319.7593)\n", - "SLQ: tensor(7324.9453)\n", - "Dense: tensor(7324.8359)\n" + "Tr(log(A)) tensor(740.9275)\n", + "SLQ: tensor(740.9714)\n", + "Dense: tensor(740.9275)\n" ] } ], "source": [ - "print(\"Tr(log(A))\",cola.linalg.logdet(A, method='iterative', vtol=1e-1, tol=1e-4, max_iters=30, key=42))\n", - "print(\"SLQ:\", cola.linalg.logdet(A, method='iterative', tol=1e-3, max_iters=10))\n", - "print(\"Dense:\", cola.linalg.logdet(A, method='dense'))" + "print(\"Tr(log(A))\", cola.linalg.logdet(A, trace_alg=cola.Hutch(tol=1e-4), log_alg=cola.Lanczos(tol=1e-4, max_iters=30)))\n", + "print(\"SLQ:\", cola.linalg.logdet(A, log_alg=cola.Lanczos(tol=1e-3, max_iters=10), trace_alg=cola.Auto()))\n", + "print(\"Dense:\", cola.linalg.logdet(A))" ] }, { @@ -546,14 +620,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "iterative: (ValueError('Unknown phase'), tensor(7329.1084))\n", - "Dense: (tensor(1.), tensor(7308.6660))\n" + "iterative: (tensor(1.0000-0.0003j), tensor(727.3146))\n", + "Dense: (tensor(1.), tensor(733.4941))\n" ] } ], "source": [ - "print(\"iterative:\", cola.linalg.slogdet(B, method='iterative', tol=1e-3,max_iters=10))\n", - "print(\"Dense:\", cola.linalg.slogdet(B, method='dense'))" + "print(\"iterative:\", cola.linalg.slogdet(B, log_alg=cola.Arnoldi(tol=1e-3, max_iters=10)))\n", + "print(\"Dense:\", cola.linalg.slogdet(B, log_alg=cola.LU()))" ] }, { @@ -561,7 +635,7 @@ "id": "22384e5a", "metadata": {}, "source": [ - "## 🚧 Eigendecomposition 🚧\n", + "## Eigendecomposition\n", "\n", "Another popular linear algebra operation is to find an approximation for the eigenvalues or eigenvectors of given linear operator $A$. That is, find $V$ and $\\Lambda$ such that $AV = V \\Lambda$." ] @@ -573,7 +647,7 @@ "metadata": {}, "outputs": [], "source": [ - "eig_vals, eig_vecs = cola.eig(A, method='dense')" + "eig_vals, eig_vecs = cola.eig(A, k=A.shape[0])" ] }, { @@ -595,13 +669,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "eigmax: 2164.6376953125\n", - "eig_vals[0]: 2166.60107421875\n" + "eigmax: 331.973388671875\n", + "eig_vals[0]: 332.0385437011719\n" ] } ], "source": [ - "eig_max = cola.eigmax(A, tol=1e-4)\n", + "from cola.linalg.eig.power_iteration import power_iteration\n", + "_, eig_max, _ = power_iteration(A, tol=1e-4)\n", "print(f\"eigmax: {eig_max}\")\n", "print(f\"eig_vals[0]: {eig_vals[-1]}\")" ] @@ -620,17 +695,23 @@ "id": "7f9674f3", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "2166.601806640625\n" + "332.03857421875\n" ] } ], "source": [ - "import numpy as np\n", - "e0, v0 = cola.eig(A, num=None, which=\"SM\", method=\"iterative\", tol=1e-4, max_iters=15)\n", + "e0, v0 = cola.eig(A, k=A.shape[0], which=\"SM\", alg=cola.Lanczos(tol=1e-4, max_iters=15))\n", "print(f\"{e0[-1]}\")" ] }, diff --git a/docs/notebooks/Quick_Start.ipynb b/docs/notebooks/Quick_Start.ipynb index b79dc138..8001266e 100644 --- a/docs/notebooks/Quick_Start.ipynb +++ b/docs/notebooks/Quick_Start.ipynb @@ -27,7 +27,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 1, @@ -187,7 +187,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "id": "ec6e4c9d", "metadata": {}, "outputs": [ @@ -195,7 +195,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "tensor([-0.4161, -0.2753, 1.9718, 0.0790, -0.1104]) tensor([-0.4161, -0.2753, 1.9718, 0.0790, -0.1104])\n" + "tensor([-1.9827, -0.5036, 0.7356, -0.2840, 1.3906]) tensor([-1.9827, -0.5036, 0.7356, -0.2840, 1.3906])\n" ] } ], @@ -233,7 +233,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, "id": "f2a25ebe", "metadata": {}, "outputs": [ @@ -249,7 +249,7 @@ } ], "source": [ - "D = cola.diag(torch.tensor([1, 2, 3, 4.]))\n", + "D = cola.ops.Diagonal(torch.tensor([1, 2, 3, 4.]))\n", "DT = T[:4, :4] - D\n", "print(DT.to_dense())" ] @@ -264,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "id": "ab53f7a9", "metadata": {}, "outputs": [ @@ -297,7 +297,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "id": "06defdf2", "metadata": {}, "outputs": [ @@ -321,7 +321,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 14, "id": "f660e95b", "metadata": {}, "outputs": [ @@ -331,14 +331,14 @@ "<2100x2100 BlockDiag[cola.ops.operators.Kronecker[cola.ops.operators.Dense, cola.ops.operators.Permutation], cola.ops.operators.Tridiagonal, cola.ops.operators.Diagonal] with dtype=torch.float32>" ] }, - "execution_count": 10, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "d = 1 / (1 + torch.linspace(.2, 10, 1000))\n", - "X = cola.block_diag(cola.kron(A, P), T, cola.diag(d))\n", + "X = cola.block_diag(cola.kron(A, P), T, cola.ops.Diagonal(d))\n", "X" ] }, @@ -368,7 +368,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "id": "4e803b0c", "metadata": {}, "outputs": [ @@ -378,7 +378,7 @@ "torch.Size([2100, 5])" ] }, - "execution_count": 11, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -389,7 +389,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 16, "id": "7f86d272", "metadata": {}, "outputs": [ @@ -397,7 +397,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Solution error: 4.37e-06\n" + "Solution error: 9.79e-06\n" ] } ], @@ -410,7 +410,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 17, "id": "64d99cbf", "metadata": {}, "outputs": [ @@ -428,7 +428,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 18, "id": "04d88f0f", "metadata": {}, "outputs": [ @@ -447,7 +447,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, "id": "b6432c5b", "metadata": {}, "outputs": [ @@ -460,11 +460,11 @@ " [0.0932, 0.2152, 0.3083, 0.2139, 0.0864],\n", " [0.0288, 0.0930, 0.2139, 0.3016, 0.1865],\n", " [0.0066, 0.0275, 0.0864, 0.1865, 0.2153]])\n", - "scipy expm: [[0.30850834 0.21526882 0.09323522 0.02876082 0.0066488 ]\n", - " [0.21526891 0.30850452 0.21523876 0.09302247 0.02746145]\n", - " [0.09323531 0.21523881 0.30829167 0.21393949 0.08637363]\n", - " [0.02876082 0.09302244 0.21393946 0.30164295 0.18647799]\n", - " [0.0066488 0.02746145 0.08637364 0.18647805 0.21526927]]\n" + "scipy expm: [[0.30850828 0.21526888 0.09323523 0.02876081 0.0066488 ]\n", + " [0.21526891 0.30850452 0.2152388 0.09302244 0.02746145]\n", + " [0.09323531 0.2152388 0.30829173 0.21393944 0.08637362]\n", + " [0.02876082 0.09302243 0.2139395 0.30164295 0.18647799]\n", + " [0.0066488 0.02746145 0.08637366 0.18647805 0.21526927]]\n" ] } ], @@ -476,7 +476,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 26, "id": "23e4504e", "metadata": {}, "outputs": [ @@ -489,68 +489,44 @@ " [0.0932, 0.2152, 0.3083, 0.2139, 0.0864],\n", " [0.0288, 0.0930, 0.2139, 0.3016, 0.1865],\n", " [0.0066, 0.0275, 0.0864, 0.1865, 0.2153]])\n", - "scipy expm: [[0.30850834 0.21526882 0.09323522 0.02876082 0.0066488 ]\n", - " [0.21526891 0.30850452 0.21523876 0.09302247 0.02746145]\n", - " [0.09323531 0.21523881 0.30829167 0.21393949 0.08637363]\n", - " [0.02876082 0.09302244 0.21393946 0.30164295 0.18647799]\n", - " [0.0066488 0.02746145 0.08637364 0.18647805 0.21526927]]\n" + "scipy expm: [[0.30850828 0.21526888 0.09323523 0.02876081 0.0066488 ]\n", + " [0.21526891 0.30850452 0.2152388 0.09302244 0.02746145]\n", + " [0.09323531 0.2152388 0.30829173 0.21393944 0.08637362]\n", + " [0.02876082 0.09302243 0.2139395 0.30164295 0.18647799]\n", + " [0.0066488 0.02746145 0.08637366 0.18647805 0.21526927]]\n" ] } ], "source": [ - "print(f\"CoLA exp(X): {cola.exp(T, method='iterative')[-5:,-5:].to_dense().real}\\nscipy expm: {scipy_expm[-5:,-5:]}\")" + "from cola import Auto, Arnoldi\n", + "print(f\"CoLA exp(X): {cola.exp(T, alg=Arnoldi())[-5:,-5:].to_dense().real}\\nscipy expm: {scipy_expm[-5:,-5:]}\")" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 39, "id": "32ad8a12", "metadata": {}, - "outputs": [], - "source": [ - "C = X.T @ X\n", - "# let's annotate this matrix as positive definite to speed up the computation\n", - "C = cola.PSD(C)\n", - "e, v = cola.eig(C, num=3, which=\"SM\", max_iters=100)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2d0f3297", - "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([1.0953e-03, 1.0964e-02, 2.1969e-02, 4.2399e-02, 7.0133e-02, 1.0801e-01,\n", - " 1.4944e-01, 1.9419e-01, 2.5152e-01, 3.1772e-01, 4.0139e-01, 4.7665e-01,\n", - " 5.6189e-01, 6.4727e-01, 7.3868e-01, 8.8262e-01, 9.8502e-01, 1.1289e+00,\n", - " 1.2921e+00, 1.4241e+00, 1.5924e+00, 1.7201e+00, 1.9020e+00, 2.0731e+00,\n", - " 2.2735e+00, 2.3025e+00, 2.5105e+00, 2.8178e+00, 2.9081e+00, 3.2181e+00,\n", - " 3.3807e+00, 3.6097e+00, 3.7622e+00, 3.9949e+00, 4.2446e+00, 4.4903e+00,\n", - " 4.6545e+00, 4.9160e+00, 5.1424e+00, 5.3507e+00, 5.5901e+00, 5.7817e+00,\n", - " 6.0946e+00, 6.3530e+00, 6.6405e+00, 6.8644e+00, 7.1608e+00, 7.3553e+00,\n", - " 7.5980e+00, 7.7476e+00, 8.1347e+00, 8.3219e+00, 8.5606e+00, 8.8394e+00,\n", - " 9.1587e+00, 9.3410e+00, 9.6295e+00, 9.8448e+00, 1.0079e+01, 1.0330e+01,\n", - " 1.0445e+01, 1.0769e+01, 1.1044e+01, 1.1270e+01, 1.1530e+01, 1.1755e+01,\n", - " 1.1908e+01, 1.2241e+01, 1.2330e+01, 1.2568e+01, 1.2806e+01, 1.2999e+01,\n", - " 1.3167e+01, 1.3295e+01, 1.3514e+01, 1.3705e+01, 1.3877e+01, 1.4030e+01,\n", - " 1.4265e+01, 1.4368e+01, 1.4547e+01, 1.4659e+01, 1.4789e+01, 1.4890e+01,\n", - " 1.5074e+01, 1.5181e+01, 1.5324e+01, 1.5393e+01, 1.5457e+01, 1.5542e+01,\n", - " 1.5648e+01, 1.5700e+01, 1.5777e+01, 1.5850e+01, 1.5878e+01, 1.5897e+01,\n", - " 1.5960e+01, 1.5980e+01, 1.5989e+01, 1.5998e+01]) tensor([15.9922, 15.9965, 15.9991])\n" + "tensor([2.5006e-06, 5.9026e-05, 1.5939e-04]) tensor([-1.1555e-07, 2.6563e-07, 1.3119e-06])\n" ] } ], "source": [ - "print(e, torch.linalg.eigh(C.to_dense())[0][-3:])" + "C = X.T @ X\n", + "# let's annotate this matrix as positive definite to speed up the computation\n", + "C = cola.PSD(C)\n", + "e, v = cola.eig(C, k=3, which=\"SM\", alg=Auto(max_iters=500))\n", + "print(e, torch.linalg.eigh(C.to_dense())[0][:3])" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 40, "id": "477eae7e", "metadata": {}, "outputs": [ @@ -558,212 +534,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "tensor([-2.0163e-07, 7.4170e-07, 2.9827e-06, 6.1287e-06, 8.6353e-06,\n", - " 1.5342e-05, 2.6599e-05, 4.8417e-05, 7.6746e-05, 1.1866e-04,\n", - " 1.7418e-04, 2.4626e-04, 3.3815e-04, 4.5447e-04, 5.9902e-04,\n", - " 7.7438e-04, 9.8632e-04, 1.2406e-03, 1.5368e-03, 1.8854e-03,\n", - " 2.2899e-03, 2.7560e-03, 3.2899e-03, 3.8961e-03, 4.5839e-03,\n", - " 5.3573e-03, 6.2235e-03, 7.1915e-03, 8.2694e-03, 8.2759e-03,\n", - " 8.3232e-03, 8.3387e-03, 8.3862e-03, 8.4328e-03, 8.4770e-03,\n", - " 8.5494e-03, 8.6306e-03, 8.6876e-03, 8.8099e-03, 8.8861e-03,\n", - " 9.0070e-03, 9.1049e-03, 9.2122e-03, 9.3541e-03, 9.4663e-03,\n", - " 9.6082e-03, 9.7719e-03, 9.8973e-03, 1.0062e-02, 1.0219e-02,\n", - " 1.0413e-02, 1.0577e-02, 1.0742e-02, 1.0947e-02, 1.1148e-02,\n", - " 1.1309e-02, 1.1519e-02, 1.1710e-02, 1.1989e-02, 1.2169e-02,\n", - " 1.2379e-02, 1.2585e-02, 1.2774e-02, 1.3063e-02, 1.3274e-02,\n", - " 1.3599e-02, 1.3839e-02, 1.4106e-02, 1.4308e-02, 1.4594e-02,\n", - " 1.4847e-02, 1.5109e-02, 1.5435e-02, 1.5674e-02, 1.5950e-02,\n", - " 1.6251e-02, 1.6572e-02, 1.6793e-02, 1.7180e-02, 1.7474e-02,\n", - " 1.7737e-02, 1.8072e-02, 1.8349e-02, 1.8732e-02, 1.8965e-02,\n", - " 1.9278e-02, 1.9682e-02, 2.0005e-02, 2.0330e-02, 2.0711e-02,\n", - " 2.0968e-02, 2.1332e-02, 2.1810e-02, 2.2104e-02, 2.2535e-02,\n", - " 2.2787e-02, 2.3144e-02, 2.3523e-02, 2.4008e-02, 2.4257e-02,\n", - " 2.4710e-02, 2.5059e-02, 2.5514e-02, 2.5759e-02, 2.6320e-02,\n", - " 2.6530e-02, 2.7130e-02, 2.7502e-02, 2.7702e-02, 2.8391e-02,\n", - " 2.8645e-02, 2.9152e-02, 2.9520e-02, 3.0033e-02, 3.0466e-02,\n", - " 3.0824e-02, 3.1343e-02, 3.1687e-02, 3.2150e-02, 3.2505e-02,\n", - " 3.3102e-02, 3.3516e-02, 3.3864e-02, 3.4342e-02, 3.4821e-02,\n", - " 3.5222e-02, 3.5721e-02, 3.6115e-02, 3.6796e-02, 3.7199e-02,\n", - " 3.7696e-02, 3.8163e-02, 3.8597e-02, 3.8994e-02, 3.9525e-02,\n", - " 4.0139e-02, 4.0617e-02, 4.1039e-02, 4.1563e-02, 4.1995e-02,\n", - " 4.2415e-02, 4.2968e-02, 4.3487e-02, 4.4121e-02, 4.4444e-02,\n", - " 4.5011e-02, 4.5485e-02, 4.6062e-02, 4.6439e-02, 4.6903e-02,\n", - " 4.7780e-02, 4.8171e-02, 4.8567e-02, 4.9240e-02, 4.9480e-02,\n", - " 5.0312e-02, 5.1090e-02, 5.1330e-02, 5.1776e-02, 5.2334e-02,\n", - " 5.2884e-02, 5.3559e-02, 5.4153e-02, 5.4679e-02, 5.5177e-02,\n", - " 5.5571e-02, 5.6362e-02, 5.6868e-02, 5.7325e-02, 5.7860e-02,\n", - " 5.8304e-02, 5.9085e-02, 5.9607e-02, 6.0011e-02, 6.0638e-02,\n", - " 6.1063e-02, 6.1680e-02, 6.2183e-02, 6.2871e-02, 6.3318e-02,\n", - " 6.3649e-02, 6.4248e-02, 6.4970e-02, 6.5480e-02, 6.6254e-02,\n", - " 6.7097e-02, 6.7510e-02, 6.7869e-02, 6.8581e-02, 6.9069e-02,\n", - " 6.9298e-02, 7.0366e-02, 7.0793e-02, 7.1442e-02, 7.1839e-02,\n", - " 7.2558e-02, 7.2970e-02, 7.3705e-02, 7.4182e-02, 7.4566e-02,\n", - " 7.5457e-02, 7.6133e-02, 7.6512e-02, 7.6851e-02, 7.7812e-02,\n", - " 7.8079e-02, 7.8718e-02, 7.9165e-02, 7.9635e-02, 8.0461e-02,\n", - " 8.1001e-02, 8.1435e-02, 8.2248e-02, 8.2597e-02, 8.3153e-02,\n", - " 8.3596e-02, 8.3758e-02, 8.4676e-02, 8.5164e-02, 8.5647e-02,\n", - " 8.6182e-02, 8.6639e-02, 8.7142e-02, 8.7652e-02, 8.8161e-02,\n", - " 8.8686e-02, 8.9107e-02, 8.9208e-02, 9.0241e-02, 9.0420e-02,\n", - " 9.0784e-02, 9.1323e-02, 9.1867e-02, 9.2415e-02, 9.2969e-02,\n", - " 9.3528e-02, 9.4091e-02, 9.4660e-02, 9.5235e-02, 9.5688e-02,\n", - " 9.5813e-02, 9.6398e-02, 9.6987e-02, 9.7583e-02, 9.8184e-02,\n", - " 9.8790e-02, 9.9403e-02, 1.0002e-01, 1.0064e-01, 1.0127e-01,\n", - " 1.0191e-01, 1.0255e-01, 1.0277e-01, 1.0320e-01, 1.0385e-01,\n", - " 1.0451e-01, 1.0518e-01, 1.0585e-01, 1.0653e-01, 1.0721e-01,\n", - " 1.0791e-01, 1.0860e-01, 1.0931e-01, 1.1002e-01, 1.1023e-01,\n", - " 1.1074e-01, 1.1147e-01, 1.1220e-01, 1.1294e-01, 1.1369e-01,\n", - " 1.1445e-01, 1.1521e-01, 1.1598e-01, 1.1676e-01, 1.1755e-01,\n", - " 1.1807e-01, 1.1834e-01, 1.1915e-01, 1.1996e-01, 1.2078e-01,\n", - " 1.2160e-01, 1.2244e-01, 1.2328e-01, 1.2414e-01, 1.2500e-01,\n", - " 1.2587e-01, 1.2631e-01, 1.2675e-01, 1.2764e-01, 1.2854e-01,\n", - " 1.2945e-01, 1.3037e-01, 1.3130e-01, 1.3224e-01, 1.3319e-01,\n", - " 1.3414e-01, 1.3496e-01, 1.3511e-01, 1.3609e-01, 1.3708e-01,\n", - " 1.3808e-01, 1.3910e-01, 1.4012e-01, 1.4115e-01, 1.4220e-01,\n", - " 1.4326e-01, 1.4403e-01, 1.4433e-01, 1.4541e-01, 1.4650e-01,\n", - " 1.4761e-01, 1.4873e-01, 1.4986e-01, 1.5101e-01, 1.5216e-01,\n", - " 1.5334e-01, 1.5354e-01, 1.5452e-01, 1.5572e-01, 1.5693e-01,\n", - " 1.5816e-01, 1.5940e-01, 1.6066e-01, 1.6193e-01, 1.6321e-01,\n", - " 1.6349e-01, 1.6451e-01, 1.6583e-01, 1.6716e-01, 1.6851e-01,\n", - " 1.6988e-01, 1.7126e-01, 1.7266e-01, 1.7390e-01, 1.7408e-01,\n", - " 1.7551e-01, 1.7696e-01, 1.7843e-01, 1.7992e-01, 1.8143e-01,\n", - " 1.8295e-01, 1.8450e-01, 1.8477e-01, 1.8606e-01, 1.8765e-01,\n", - " 1.8925e-01, 1.9088e-01, 1.9252e-01, 1.9394e-01, 1.9394e-01,\n", - " 1.9394e-01, 1.9394e-01, 1.9394e-01, 1.9394e-01, 1.9394e-01,\n", - " 1.9394e-01, 1.9394e-01, 1.9394e-01, 1.9394e-01, 1.9394e-01,\n", - " 1.9395e-01, 1.9395e-01, 1.9395e-01, 1.9395e-01, 1.9419e-01,\n", - " 1.9588e-01, 1.9613e-01, 1.9759e-01, 1.9933e-01, 2.0108e-01,\n", - " 2.0287e-01, 2.0467e-01, 2.0650e-01, 2.0798e-01, 2.0835e-01,\n", - " 2.1023e-01, 2.1214e-01, 2.1406e-01, 2.1602e-01, 2.1801e-01,\n", - " 2.2002e-01, 2.2034e-01, 2.2205e-01, 2.2412e-01, 2.2622e-01,\n", - " 2.2834e-01, 2.3050e-01, 2.3269e-01, 2.3321e-01, 2.3490e-01,\n", - " 2.3715e-01, 2.3944e-01, 2.4175e-01, 2.4410e-01, 2.4648e-01,\n", - " 2.4662e-01, 2.4890e-01, 2.5136e-01, 2.5385e-01, 2.5638e-01,\n", - " 2.5894e-01, 2.6057e-01, 2.6155e-01, 2.6419e-01, 2.6688e-01,\n", - " 2.6960e-01, 2.7237e-01, 2.7507e-01, 2.7518e-01, 2.7803e-01,\n", - " 2.8093e-01, 2.8388e-01, 2.8687e-01, 2.8991e-01, 2.9013e-01,\n", - " 2.9299e-01, 2.9613e-01, 2.9932e-01, 3.0255e-01, 3.0577e-01,\n", - " 3.0585e-01, 3.0919e-01, 3.1259e-01, 3.1605e-01, 3.1957e-01,\n", - " 3.2201e-01, 3.2314e-01, 3.2677e-01, 3.3047e-01, 3.3423e-01,\n", - " 3.3805e-01, 3.3884e-01, 3.4194e-01, 3.4590e-01, 3.4992e-01,\n", - " 3.5402e-01, 3.5629e-01, 3.5819e-01, 3.6243e-01, 3.6675e-01,\n", - " 3.7115e-01, 3.7436e-01, 3.7563e-01, 3.8018e-01, 3.8483e-01,\n", - " 3.8955e-01, 3.9307e-01, 3.9437e-01, 3.9927e-01, 4.0427e-01,\n", - " 4.0936e-01, 4.1243e-01, 4.1455e-01, 4.1983e-01, 4.2522e-01,\n", - " 4.3071e-01, 4.3245e-01, 4.3631e-01, 4.4202e-01, 4.4784e-01,\n", - " 4.5314e-01, 4.5378e-01, 4.5984e-01, 4.6602e-01, 4.7233e-01,\n", - " 4.7451e-01, 4.7876e-01, 4.8533e-01, 4.9203e-01, 4.9657e-01,\n", - " 4.9887e-01, 5.0585e-01, 5.1299e-01, 5.1934e-01, 5.2027e-01,\n", - " 5.2772e-01, 5.3532e-01, 5.4283e-01, 5.4309e-01, 5.5102e-01,\n", - " 5.5914e-01, 5.6704e-01, 5.6743e-01, 5.7591e-01, 5.8458e-01,\n", - " 5.9199e-01, 5.9345e-01, 6.0252e-01, 6.1181e-01, 6.1769e-01,\n", - " 6.2130e-01, 6.3102e-01, 6.4098e-01, 6.4414e-01, 6.5116e-01,\n", - " 6.6160e-01, 6.7137e-01, 6.7228e-01, 6.8323e-01, 6.9445e-01,\n", - " 6.9937e-01, 7.2816e-01, 7.5775e-01, 7.8814e-01, 8.1936e-01,\n", - " 8.5140e-01, 8.8427e-01, 9.1799e-01, 9.5257e-01, 9.8800e-01,\n", - " 1.0243e+00, 1.0615e+00, 1.0995e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1289e+00,\n", - " 1.1289e+00, 1.1289e+00, 1.1289e+00, 1.1385e+00, 1.1783e+00,\n", - " 1.2191e+00, 1.2608e+00, 1.3034e+00, 1.3469e+00, 1.3913e+00,\n", - " 1.4367e+00, 1.4830e+00, 1.5303e+00, 1.5785e+00, 1.6277e+00,\n", - " 1.6778e+00, 1.7289e+00, 1.7809e+00, 1.8340e+00, 1.8880e+00,\n", - " 1.9429e+00, 1.9989e+00, 2.0558e+00, 2.1137e+00, 2.1726e+00,\n", - " 2.2324e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2838e+00,\n", - " 2.2838e+00, 2.2838e+00, 2.2838e+00, 2.2933e+00, 2.3551e+00,\n", - " 2.4179e+00, 2.4817e+00, 2.5464e+00, 2.6122e+00, 2.6789e+00,\n", - " 2.7466e+00, 2.8152e+00, 2.8848e+00, 2.9554e+00, 3.0269e+00,\n", - " 3.0994e+00, 3.1729e+00, 3.2473e+00, 3.3226e+00, 3.3989e+00,\n", - " 3.4761e+00, 3.5542e+00, 3.6332e+00, 3.7132e+00, 3.7940e+00,\n", - " 3.8757e+00, 3.8967e+00, 3.9584e+00, 4.0419e+00, 4.1262e+00,\n", - " 4.2114e+00, 4.2975e+00, 4.3844e+00, 4.4722e+00, 4.5607e+00,\n", - " 4.6501e+00, 4.7402e+00, 4.8311e+00, 4.9228e+00, 5.0153e+00,\n", - " 5.1085e+00, 5.2024e+00, 5.2970e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00, 5.3508e+00,\n", - " 5.3924e+00, 5.4884e+00, 5.5851e+00, 5.6824e+00, 5.7804e+00,\n", - " 5.8790e+00, 5.9782e+00, 6.0780e+00, 6.1784e+00, 6.2794e+00,\n", - " 6.3809e+00, 6.4829e+00, 6.5854e+00, 6.6884e+00, 6.7918e+00,\n", - " 6.8957e+00, 7.0001e+00, 7.1048e+00, 7.2099e+00, 7.3154e+00,\n", - " 7.4213e+00, 7.5274e+00, 7.6339e+00, 7.7407e+00, 7.8477e+00,\n", - " 7.9550e+00, 8.0625e+00, 8.1702e+00, 8.2780e+00, 8.3861e+00,\n", - " 8.4942e+00, 8.6025e+00, 8.7108e+00, 8.8192e+00, 8.9277e+00,\n", - " 9.0362e+00, 9.1446e+00, 9.2530e+00, 9.3614e+00, 9.4697e+00,\n", - " 9.5779e+00, 9.6859e+00, 9.7939e+00, 9.9016e+00, 1.0009e+01,\n", - " 1.0116e+01, 1.0223e+01, 1.0330e+01, 1.0437e+01, 1.0543e+01,\n", - " 1.0649e+01, 1.0754e+01, 1.0859e+01, 1.0964e+01, 1.1068e+01,\n", - " 1.1172e+01, 1.1275e+01, 1.1377e+01, 1.1480e+01, 1.1581e+01,\n", - " 1.1682e+01, 1.1782e+01, 1.1882e+01, 1.1981e+01, 1.2079e+01,\n", - " 1.2177e+01, 1.2274e+01, 1.2370e+01, 1.2465e+01, 1.2560e+01,\n", - " 1.2653e+01, 1.2746e+01, 1.2838e+01, 1.2929e+01, 1.3019e+01,\n", - " 1.3108e+01, 1.3196e+01, 1.3283e+01, 1.3369e+01, 1.3454e+01,\n", - " 1.3538e+01, 1.3621e+01, 1.3703e+01, 1.3783e+01, 1.3863e+01,\n", - " 1.3941e+01, 1.4018e+01, 1.4094e+01, 1.4169e+01, 1.4242e+01,\n", - " 1.4314e+01, 1.4385e+01, 1.4455e+01, 1.4523e+01, 1.4590e+01,\n", - " 1.4655e+01, 1.4719e+01, 1.4782e+01, 1.4843e+01, 1.4903e+01,\n", - " 1.4962e+01, 1.5019e+01, 1.5074e+01, 1.5128e+01, 1.5181e+01,\n", - " 1.5232e+01, 1.5281e+01, 1.5329e+01, 1.5375e+01, 1.5420e+01,\n", - " 1.5463e+01, 1.5505e+01, 1.5544e+01, 1.5583e+01, 1.5620e+01,\n", - " 1.5655e+01, 1.5688e+01, 1.5720e+01, 1.5750e+01, 1.5778e+01,\n", - " 1.5805e+01, 1.5830e+01, 1.5853e+01, 1.5875e+01, 1.5895e+01,\n", - " 1.5913e+01, 1.5930e+01, 1.5944e+01, 1.5957e+01, 1.5969e+01,\n", - " 1.5978e+01, 1.5986e+01, 1.5992e+01, 1.5997e+01, 1.5999e+01]) tensor([-2.5722e-08, 5.0972e-07, 2.6101e-06])\n" + "tensor([15.9922, 15.9965, 15.9991]) tensor([15.9922, 15.9965, 15.9991])\n" ] } ], "source": [ - "e, v = cola.eig(C, num=3, which=\"LM\")\n", - "print(e, torch.linalg.eigh(C.to_dense())[0][:3])" + "e, v = cola.eig(C, k=3, which=\"LM\", alg=Auto(max_iters=500))\n", + "print(e, torch.linalg.eigh(C.to_dense())[0][-3:])" ] } ], @@ -783,7 +560,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/notebooks/colabs/01_algorithms.ipynb b/docs/notebooks/colabs/01_algorithms.ipynb index 610b1546..ed70431d 100644 --- a/docs/notebooks/colabs/01_algorithms.ipynb +++ b/docs/notebooks/colabs/01_algorithms.ipynb @@ -26,13 +26,6 @@ "# Accessing Lower Level Algorithms (CG, Lanczos, Arnoldi, etc)" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "ecc1dff3", - "metadata": {}, - "source": [] - }, { "cell_type": "code", "execution_count": 1, @@ -47,7 +40,10 @@ "import time\n", "import torch\n", "import cola\n", - "import jax.numpy as jnp" + "import jax.numpy as jnp\n", + "import warnings\n", + "\n", + "warnings.filterwarnings('ignore')" ] }, { @@ -55,19 +51,22 @@ "id": "4da71ef4", "metadata": {}, "source": [ - "Lets construct a simple example matrix with a rapidly decaying spectrum, such as an RBF kernel." + "Let's construct a simple example matrix with a rapidly decaying spectrum, such as an RBF kernel." ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 2, "id": "09771153", "metadata": {}, "outputs": [], "source": [ - "x = torch.linspace(-1,1,3000)\n", - "C = cola.lazify(torch.exp(-(x[None]-x[:,None])**2/2))\n", - "C = C+1e-4*cola.eigmax(C,tol=1e-2)*cola.ops.I_like(C)" + "from cola.linalg.eig.power_iteration import power_iteration\n", + "N = 3_000\n", + "x = torch.linspace(-1, 1, N)\n", + "C = cola.lazify(torch.exp(-(x[None] - x[:, None])**2 / 2))\n", + "_, eigmax, _ = power_iteration(C, tol=1e-2)\n", + "C = C + 1e-4 * eigmax * cola.ops.I_like(C)" ] }, { @@ -75,19 +74,19 @@ "id": "29fbec4a", "metadata": {}, "source": [ - "We can run CG, GMRES to perform solves, or lanczos and arnoldi for decompositions to compute $f(A)v$ for a vector $v$ or for estimating the extremal eigenvalues." + "We can run CG, GMRES to perform solves, or Lanczos and Arnoldi for decompositions to compute $f(A)v$ for a vector $v$ or for estimating the extremal eigenvalues." ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 3, "id": "8d85a96d", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b588cecf90294d5298954fd1aba362a3", + "model_id": "658fbbe35b444254befbfc8c4eb1b4b0", "version_major": 2, "version_minor": 0 }, @@ -101,7 +100,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5b03fd2e92ad450f9438b8ac42b42213", + "model_id": "3cce773f90b442a880968a68e32484fd", "version_major": 2, "version_minor": 0 }, @@ -112,10 +111,17 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fa63fc1ad4a04e1b9e2792ad22f3b814", + "model_id": "b0ae4215441046faaade8916d4dceca3", "version_major": 2, "version_minor": 0 }, @@ -126,10 +132,17 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ac7e706ff8324d9b92c47831165b777b", + "model_id": "227d9bc1fb434f51a1129bdd5a45a46e", "version_major": 2, "version_minor": 0 }, @@ -143,10 +156,10 @@ ], "source": [ "y = torch.randn(C.shape[-1])\n", - "sol, info = cola.algorithms.cg(C, y, tol=1e-4, pbar=True)\n", - "sol1, info1 = cola.algorithms.gmres(C, y, tol=1e-4, pbar=True)\n", - "Q1,T,info2 = cola.algorithms.lanczos(C, pbar=True, tol=1e-4, max_iters=1000)\n", - "Q2,H,info3 = cola.algorithms.arnoldi(C, pbar=True, tol=1e-4, max_iters=1000)\n" + "sol, info = cola.CG(tol=1e-4, pbar=True)(C, y)\n", + "sol1, info1 = cola.GMRES(tol=1e-4, pbar=True)(C, y)\n", + "Q1, T, info2 = cola.Lanczos(pbar=True, tol=1e-4, max_iters=1000)(C)\n", + "Q2, H, info3 = cola.Arnoldi(pbar=True, tol=1e-4, max_iters=1000)(C)" ] }, { @@ -159,7 +172,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 4, "id": "ea06f394", "metadata": {}, "outputs": [ @@ -167,9 +180,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'iterations': 13, 'errors': array([1.56363926e+01, 4.05478191e+00, 1.60241783e-01, 1.88410982e-01,\n", - " 3.71066853e-02, 2.52811611e-01, 2.25780299e-03, 2.09524352e-02,\n", - " 8.54305644e-03, 1.05140622e-04, 9.50152207e-06, 9.50152207e-06]), 'iteration_time': 0.004091776334322416}\n" + "{'iterations': 9, 'errors': array([2.55869064e+01, 1.55503988e+00, 7.40348101e-02, 4.77714449e-01,\n", + " 9.47988685e-03, 1.06564164e-01, 1.37272538e-04, 1.37272538e-04]), 'iteration_time': 0.004042996300591363}\n" ] } ], @@ -187,13 +199,20 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 5, "id": "3056bb0e", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { - "image/png": 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", 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", 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" ] @@ -203,7 +222,7 @@ } ], "source": [ - "eigs = cola.eig(cola.SelfAdjoint(C),pbar=True, method='dense')[0]\n", + "eigs = cola.eig(cola.SelfAdjoint(C), k=C.shape[0])[0]\n", "\n", "import matplotlib.pyplot as plt\n", "plt.rcParams['font.size'] = 20\n", @@ -244,14 +263,14 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 6, "id": "9c74d2a9", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "75f4f7ad4bc946ff979240c778d6cff2", + "model_id": "c4d513287e19435fa117a0320fcda7c4", "version_major": 2, "version_minor": 0 }, @@ -269,14 +288,17 @@ "C_jax = cola.lazify(jnp.array(C.to_dense()))\n", "y_jax = jnp.array(y)\n", "\n", - "def mycg(C,y):\n", - " return cola.algorithms.cg(C,y,tol=1e-4,pbar=True)\n", + "\n", + "def mycg(C, y):\n", + " return cola.CG(tol=1e-4, pbar=True)(C, y)\n", + "\n", + "\n", "solj, infoj = jax.jit(mycg)(C_jax, y_jax)" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 7, "id": "4f9aae59", "metadata": {}, "outputs": [ diff --git a/docs/notebooks/colabs/03_GPs.ipynb b/docs/notebooks/colabs/03_GPs.ipynb index e8a851cf..c6a67e75 100644 --- a/docs/notebooks/colabs/03_GPs.ipynb +++ b/docs/notebooks/colabs/03_GPs.ipynb @@ -46,16 +46,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2023-08-01 20:03:34-- https://www.andpotap.com/static/bike.mat\n", - "Resolving www.andpotap.com (www.andpotap.com)... 69.164.216.245\n", - "Connecting to www.andpotap.com (www.andpotap.com)|69.164.216.245|:443... connected.\n", + "--2023-10-13 14:55:46-- https://www.andpotap.com/static/bike.mat\n", + "Resolving www.andpotap.com (www.andpotap.com)... 143.42.238.119\n", + "Connecting to www.andpotap.com (www.andpotap.com)|143.42.238.119|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 434829 (425K) [application/octet-stream]\n", "Saving to: ‘bike.mat’\n", "\n", - "bike.mat 100%[===================>] 424.64K --.-KB/s in 0.04s \n", + "bike.mat 100%[===================>] 424.64K --.-KB/s in 0.05s \n", "\n", - "2023-08-01 20:03:34 (10.5 MB/s) - ‘bike.mat’ saved [434829/434829]\n", + "2023-10-13 14:55:46 (8.22 MB/s) - ‘bike.mat’ saved [434829/434829]\n", "\n" ] } @@ -71,9 +71,6 @@ "metadata": {}, "outputs": [], "source": [ - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")" ] @@ -98,20 +95,15 @@ " data = np.array(loadmat(file_path)['data'])\n", " X = data[:, -2:-1]\n", " y = data[:, -1]\n", - "\n", " X = X - X.min(0)[None]\n", " X = 2.0 * (X / X.max(0)[None]) - 1.0\n", " y -= y.mean()\n", " y /= y.std()\n", - "\n", - "\n", " train_n = int(floor(train_p * X.shape[0]))\n", " return X[:train_n], y[:train_n], X[train_n:], y[train_n:]\n", "\n", "\n", - "\n", "train_x, train_y, test_x, test_y = load_uci_data(data_dir=\"./\", dataset=\"bike\")\n", - "\n", "dtype = jnp.float32\n", "train_x = train_x[:3000]\n", "train_y = train_y[:3000]" @@ -166,12 +158,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "c5ed6118", "metadata": {}, "outputs": [], "source": [ - "ls, uscale, noise = .2, .5, 1e-3\n", + "from cola.linalg import Cholesky\n", + "\n", + "ls, uscale, noise = .2, .5, 1e-2\n", "\n", "def predicted_mean_std(ls,uscale,noise):\n", " kernel = rbf(ls=ls, uscale=uscale)\n", @@ -179,10 +173,10 @@ " Kzx = cola.ops.Dense(kernel(test_x, train_x))\n", " Kzz = cola.ops.Dense(kernel(test_x, test_x))\n", " K = cola.PSD(Kxx + noise * cola.ops.I_like(Kxx))\n", - " invK = cola.inv(K)\n", + " invK = cola.inv(K, alg=Cholesky())\n", " mu = Kzx@invK@train_y\n", " Sigma = Kzz - Kzx@invK@Kzx.T\n", - " std = jnp.sqrt(cola.diag(Sigma,method='exact'))\n", + " std = jnp.sqrt(cola.diag(Sigma))\n", " return mu,std" ] }, @@ -198,23 +192,30 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "9dd4eb89", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:jax._src.xla_bridge:CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -257,30 +258,31 @@ "$$\n", "\n", "Here:\n", - "- $ y $ is the vector of target values.\n", - "- $ K $ is the kernel matrix computed using the RBF kernel between the training inputs.\n", - "- $ \\sigma^2_n $ is the noise variance.\n", - "- $ I $ is the identity matrix.\n", - "- $ n $ is the number of training examples." + "\n", + "- $y$ is the vector of target values.\n", + "- $K$ is the kernel matrix computed using the RBF kernel between the training inputs.\n", + "- $\\sigma^2_n$ is the noise variance.\n", + "- $I$ is the identity matrix.\n", + "- $n$ is the number of training examples." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "id": "4545800a", "metadata": {}, "outputs": [], "source": [ "# compute the MLL\n", "y = train_y\n", + "alg = Cholesky()\n", "def NLL(params, key):\n", " ls,uscale,noise = params\n", " kernel = rbf(ls, uscale)\n", " Kxx= cola.ops.Dense(kernel(train_x, train_x))\n", " K = cola.PSD(Kxx + noise * cola.ops.I_like(Kxx))\n", - " #K = cola.decompositions.cholesky_decomposed(K)\n", - " invK = cola.inv(K)\n", - " minus2MLL =y.T@(invK@y)+cola.logdet(K,key=key)+jnp.log(2*jnp.pi)*y.shape[0]\n", + " invK = cola.inv(K,alg)\n", + " minus2MLL =y.T@(invK@y)+cola.logdet(K,alg)+jnp.log(2*jnp.pi)*y.shape[0]\n", " return minus2MLL/(2*y.shape[0])" ] }, @@ -295,7 +297,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 14, "id": "0d9642e3", "metadata": {}, "outputs": [ @@ -303,16 +305,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "loss: 6.910\n", - "loss: 0.733\n", - "loss: 0.100\n", - "loss: -0.128\n", - "loss: -0.239\n", - "loss: -0.311\n", - "loss: -0.352\n", - "loss: -0.383\n", - "loss: -0.404\n", - "loss: -0.420\n" + "loss: -0.268\n", + "loss: -0.377\n", + "loss: -0.423\n", + "loss: -0.443\n", + "loss: -0.451\n", + "loss: -0.454\n", + "loss: -0.454\n", + "loss: -0.454\n", + "loss: -0.453\n", + "loss: -0.453\n" ] } ], @@ -349,15 +351,15 @@ }, { "cell_type": "code", - "execution_count": 9, - "id": "e57e9d2a", + "execution_count": 15, + "id": "63ec6dd8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "ls = 0.18, uscale = 0.52, noise = 0.01\n" + "ls = 0.17, uscale = 0.53, noise = 0.03\n" ] } ], @@ -378,23 +380,23 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 16, "id": "c90e19c0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -413,6 +415,14 @@ "plt.plot(test_x[order].reshape(-1), mu[order], 'y')\n", "plt.fill_between(test_x[order].reshape(-1), (mu - 2*pstd)[order], (mu + 2*pstd)[order], alpha=.5, interpolate=True)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "99204e6b", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/docs/notebooks/colabs/04_Spectral_Clustering.ipynb b/docs/notebooks/colabs/04_Spectral_Clustering.ipynb index 9e101f0e..c9871221 100644 --- a/docs/notebooks/colabs/04_Spectral_Clustering.ipynb +++ b/docs/notebooks/colabs/04_Spectral_Clustering.ipynb @@ -55,7 +55,9 @@ "outputs": [], "source": [ "import os\n", + "import warnings\n", "\n", + "warnings.filterwarnings('ignore')\n", "input_path = os.path.join(os.environ['HOME'], \"data/cit-HepPh.txt\")" ] }, @@ -133,20 +135,12 @@ "text": [ "Found 34,545 nodes\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/ubu/cola/cola/ops/operators.py:63: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at ../aten/src/ATen/SparseCsrTensorImpl.cpp:53.)\n", - " self.A = self.xnp.sparse_csr(indptr, indices, data)\n" - ] } ], "source": [ "import torch\n", "import cola\n", - "from cola import torch_fns as xnp\n", + "from cola.backends import torch_fns as xnp\n", "\n", "num_edges = -1\n", "dtype = torch.float64\n", @@ -159,7 +153,7 @@ "id": "69e37db8", "metadata": {}, "source": [ - "Given the adjacency matrix, we can now create the normalized Laplacian defined as $L=I - D^{-1/2} A D^{-1/2}$, where $D$ is the diagonal matrix that contains the degree of each node, $A$ is the adjecency matrix and $I$ is the identity. We can create the Laplacian operator really easily in `CoLA` as" + "Given the adjacency matrix, we can now create the normalized Laplacian defined as $L=I - D^{-1/2} A D^{-1/2}$, where $D$ is the diagonal matrix that contains the degree of each node, $A$ is the adjacency matrix and $I$ is the identity. We can create the Laplacian operator really easily in `CoLA` as" ] }, { @@ -174,15 +168,6 @@ "text": [ "Size of the Laplacian: (34545, 34545)\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/ubu/venv/cola/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpeptest.py:311: BeartypeDecorHintPep585DeprecationWarning: PEP 484 type hint typing.Callable deprecated by PEP 585. This hint is scheduled for removal in the first Python version released after October 5th, 2025. To resolve this, import this hint from \"beartype.typing\" rather than \"typing\". For further commentary and alternatives, see also:\n", - " https://beartype.readthedocs.io/en/latest/api_roar/#pep-585-deprecations\n", - " warn(\n" - ] } ], "source": [ @@ -211,19 +196,101 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/ubu/venv/cola/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n", - " super()._check_params_vs_input(X, default_n_init=10)\n" + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" ] } ], "source": [ "from sklearn.cluster import KMeans\n", "\n", - "embedding_size, n_clusters = 8, 8\n", - "eigvals, eigvecs = cola.eig(Lap, method=\"lanczos\", max_iters=300)\n", - "x_emb = eigvecs[:, :embedding_size].to_dense()\n", + "eigvals, eigvecs = cola.eig(Lap, k=20, which=\"SM\", alg=cola.Lanczos(max_iters=300))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "6b077609", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([-3.1070e-15, -1.0551e-15, 1.0093e-15, 1.5716e-02, 2.3005e-02,\n", + " 3.2201e-02, 4.2626e-02, 4.2914e-02, 4.5332e-02, 4.5939e-02,\n", + " 5.5096e-02, 5.7384e-02, 6.2086e-02, 6.5325e-02, 6.7329e-02,\n", + " 6.9325e-02, 7.0176e-02, 7.0703e-02, 7.4464e-02, 7.5107e-02],\n", + " dtype=torch.float64)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "eigvals" + ] + }, + { + "cell_type": "markdown", + "id": "1d809094", + "metadata": {}, + "source": [ + "From the eigenvalues we can determine that there are 3 connected components of the citation graph. Let's identify these components" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "caa951e5", + "metadata": {}, + "outputs": [], + "source": [ + "n_clusters = 3\n", + "x_emb = eigvecs.to_dense()[:,:n_clusters]\n", "kmeans = KMeans(n_clusters=n_clusters).fit(x_emb)" ] + }, + { + "cell_type": "markdown", + "id": "4bcfbfa8", + "metadata": {}, + "source": [ + "And now let's visualize these three components in the basis of these eigenvectors" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "99ab03c5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure()\n", + "ax = fig.add_subplot(projection='3d')\n", + "ax.scatter(*x_emb.T, c=kmeans.labels_, cmap=\"tab10\")" + ] } ], "metadata": { diff --git a/docs/notebooks/colabs/05_Boundary_Value_PDEs.ipynb b/docs/notebooks/colabs/05_Boundary_Value_PDEs.ipynb index 1cf8afd9..9f995cf3 100644 --- a/docs/notebooks/colabs/05_Boundary_Value_PDEs.ipynb +++ b/docs/notebooks/colabs/05_Boundary_Value_PDEs.ipynb @@ -60,7 +60,15 @@ "execution_count": 1, "id": "466258d6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], "source": [ "import numpy as np\n", "import jax.numpy as jnp\n", @@ -94,7 +102,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -104,9 +112,10 @@ } ], "source": [ + "from scipy.signal import convolve2d\n", "domain = (((x>0)|(y>0))&((y>-.5)|((x-.5)**2+(y+.5)**2<.5**2))) # chosen for example\n", "# reduce the domain by one pixel leave space for the boundary conditions\n", - "domain &= ~(scipy.signal.convolve2d((~domain).astype(np.float32),jnp.ones((3,3)),mode='same',fillvalue=1)>0)\n", + "domain &= ~(convolve2d((~domain).astype(np.float32),jnp.ones((3,3)),mode='same',fillvalue=1)>0)\n", "domain_ids, = domain.reshape(-1).nonzero()\n", "\n", "BCS = jnp.where(domain,jnp.zeros_like(x),(x+y)*jnp.cos(2*x))\n", @@ -135,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "d96a48b5", "metadata": {}, "outputs": [], @@ -148,7 +157,7 @@ " cderiv = lambda x: jax.scipy.signal.correlate(x,jnp.array([1.,-2,1.])/dx**2,mode='same')\n", " return sum([jnp.apply_along_axis(cderiv,i,x) for i in range(ndims)]).reshape(-1)\n", "\n", - "Lfull = cola.LinearOperator(jnp.float32,shape=(N**ndims,N**ndims),matmat=jit(vmap(laplacian,-1,-1)))\n", + "Lfull = cola.ops.LinearOperator(jnp.float32,shape=(N**ndims,N**ndims),matmat=jit(vmap(laplacian,-1,-1)))\n", "Lfull = cola.PSD(Lfull)" ] }, @@ -163,7 +172,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "a1e772fb", "metadata": {}, "outputs": [], @@ -182,7 +191,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "5f5e9780", "metadata": {}, "outputs": [], @@ -200,33 +209,19 @@ "\n", "$Lv = b$\n", "\n", - "and annotate that $L$ is a symmetric operator to speed up the computation." + "and annotate that $L$ is a PSD operator to speed up the computation." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "id": "df413ec9", "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c62d53d71ceb497a80ea64da45e49140", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body_fun: 0%| | 0/100 [00:00" ] @@ -297,7 +292,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "id": "4ad7a1c1", "metadata": {}, "outputs": [], @@ -349,7 +344,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, "id": "3c7b5852", "metadata": {}, "outputs": [ @@ -358,16 +353,17 @@ "output_type": "stream", "text": [ "PDE Error: 6.0e+02\n", - "PDE Error: 2.1e+02\n", - "PDE Error: 8.9e+01\n", - "PDE Error: 1.9e+01\n", - "PDE Error: 2.2e+00\n", - "PDE Error: 1.5e-01\n", - "PDE Error: 9.0e-04\n" + "PDE Error: 2.4e+02\n", + "PDE Error: 2.0e+02\n", + "PDE Error: 3.7e+01\n", + "PDE Error: 4.0e+00\n", + "PDE Error: 2.2e-02\n", + "PDE Error: 5.5e-04\n" ] } ], "source": [ + "from cola.linalg import GMRES\n", "# Newton Raphson iteration\n", "tol = 3e-3\n", "\n", @@ -377,7 +373,7 @@ " F = pde_constraint_on_domain(z)\n", " err = jnp.max(jnp.abs(F))\n", " J = cola.ops.Jacobian(pde_constraint_on_domain,z)\n", - " z -= cola.inv(J, max_iters=100)@F\n", + " z -= cola.inv(J, alg=GMRES(max_iters=100))@F\n", " print(f\"PDE Error: {err:1.1e}\")" ] }, @@ -392,13 +388,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "id": "2226daf8", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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Y1awlOLdv336kcbqNsvvOeIey0XYvDy4wGseZKVxi2kWIFClzjJEIoRkeSQiFVg5CZhQ/b4JAYAABGMAYiRF9lLlAnh3n/ffO0Ov1+PznP8/k5ORGv4I72EwX2f3e7+PK+NC1YUubbrfL4uLiHUPXhhlq60nG2I0CM3Q/71aBWa9nQAhBGIbUarUtOqutoxSYTeBh2r0Md/r3DrQaLHsBKdM7/2KcQfZYhjECIQwGG0EGDBMLUrQRIBK0hkpFgIFcxQTx9xGiuSkusXHGq9o3Y/HaTQsgbN35WpY1GroGrBi6dvHixRVD14YZavfaMe9WgQF2pcBordfdYmjoNm02m1t0VltHKTAPyVq1LetheJPc68IrxCUYWCtmFF8pDjVcIExhuVgpQgwfyzDD2IyuggzJUhevkhLHDoaIehOef6GOw+aOGt4KgdktFsx2nufdhq4tLi5y5syZ+w5d240CM7T4d6PADF3n6yUIAur1+hac0dZSCswGGa9teZhRxvcTGCl7WJY/eI6DJdJBtpiDENkqsRkP8MtRHAYRIoRVSJEpzjEMc1oTAq2bIHok5jwVnt7IV7EmD9KXa7cIxm7ibkPXFhcXuX79OsaYFRlqw2uuFJjt4UFiMGsxtEx3G6XAbIDNHGU8vEmUUnf6zkWCkP7dXlk8ZUxspBwOKQOjXRAxDKIzQuQYwLIVxhgmJxoo+kjhoZgnMxHStHDFgQ19jtXcT2A20uxyNwnSTliw7zV0bWFhgYsXL44Wu48++ojJyclNG7q2lYzXlO02NiIwaZqSZRmNRmOLzmrrKAVmHWzFKOPh6+8M9BtsawaEHjtWNuZyUmPPHYqNQmm7EBoxFJZ0EJvJCf2cWt3G96FWT0F5QBHXcWiScAHLTGCJh++btRWdhXeTwOxE1hq6Njs7y+nTp/noo484e/bsaOja0MLZSS1thmz1zKStZCMxGN8vNpmlwHyMWR3I3wxxGb7PWplk0loYZIKBMR5C5AOXlzuyVkYZZCIfO1EbyAuLxRQWTuAr6g2J6zSAmDyXgEGKGpoOQtcxQmFMgK/P0ZKf2TTh3CxR2E2LyW4RQiklzWYTy7J46aWXyPN8lKF29epVPvjgA+r1+khsJiYmdkSq7E5uE3M/NhKD8X1/ZI3uNh791bILWG9ty3q5Q2BEjBDh6D+NGQvKMh6gHWaQKbS2kFIhxNB9oMlzC9tWDDQR17HQgOdJQCEGWWZSVFBmAYELxIT6OnXrsYf6TPcSmGErmjAMmZ6efuDU2t2ycO8mxpMwbNteMXQtTVOWlpZYXFzk/Pnzo6FrQ8Fpt9uPJA6yW1OUYWMusmGK8m78zKXA3IPtGmW8UmAMljWDYfk4gnzNfw8zyIpztQE1SlfOc83M3CLNpotXs4mzFIEizcAog9EOQsSgi9chwDZNchnj5xfwxD5suXFX2d0EJk1T3n33XYIgYGpqiosXLxJF0X0Xrt22Y90t53uvLD/Xde8Yura4uEin0+HWrVv3HLq2lXzSBMb3fer1+q65psYpBeYubOco43GBEbKHkDEYa+DiEiCyQaW+Qch8kHqsV2SQDVOTlbZY6MxQb6e0p2yE1UUBRnsYEZCbCpbXJ1XT2LKCwGBED6ErRQ2NCZBU6KsrTMpnN/yZ1hKYbrfLj370I1qtFq+88grGGCzLWjEt8ubNm2itR5lOU1NTI9dAacFsPutJI69UKhw6dGjU0uZuQ9eGG4VarbYl98xuFZhhDHe9ArNbU5ShFJg1Gc7i3q5g4rLAKKQ1BxQBe6Mrg9jLIEXZKgLy2th3pCuDIkgCsHowuH6llYOpYkSEEC6GACmLRdoQEeo5JBO4soZEoFgEbDxZJdVdQrVAzZre0GcaFxhjDDdu3ODDDz/kxIkTo4r0LCtiTKunRQZBwOLi4ijTybZtKpXKqC/Tw7RG2Q52kxButE7pbkPXFhcXmZub48KFC9i2vSJhYLOGru1WgRluIksL5hPK+Cjjh6ltWS8jgZHzg4yv0V/GnjWeBDC+gElyZRGpW/R7Ke1Jm0ZDDBpdGsADIiAGA9JKiGPwKiHSVNF08fMAT0xiSXBokYuEnJjF7BxV+QpCbOxmFkKQ5znvvfce8/PzvPjiiyP//t2+1/FeXI899tioNcr169cJgoA/+7M/GwWeh61RNlJXUFKwWQHz8aFrx48fRylFr9cbWaUffvghlUplJDaTk5Pramkzzm7uQwbrr98Jw7C0YHY7w9qWH/zgBxw+fJj9+/dv246hWCBzkEsYUyv+DTCWHbacbrwyXTlTCbn4CCmh3qgDCQiDMA0M/eK/AUSGMA0QPmkk8SoaiyqaCEc0iM0clpqkIiVGBFhUQEp6+S3azpENf7ZTp07hOA4nT57c0A522BolSRK01nz605++Y5ZKu90eCc52xQHux044hwdhq2bBWJY1EhJgNHRt2CH6/fffp9ForMhQe9CNwm61YDYqMEMLZjfyiReY1bUtwwLK7VwgpJTUm0GRhkw29pcUY9xBvMUM0pUzhnNf0jREW/NEAVTrYNspGAlCD6wXQKQIU8OIECEcDOC4ksIiGo5zzcGAMdDPIjzbGbjJNH11m4Z9AEus71KZnZ3FGEOr1eIzn/nMpiwIxhgcxxkFnldXqg/jAEO3zLC1fcnd2a5hY2sNXRsmDIwPXRsKzr2Gru1mgbEsa93f93AC6m7kEy0wq0cZCyGwbXu009guvIqk1hhYGiRo4yGFHlTkF7NcivNdfk3f7+PUOgBUq02gX4iKroPwgXBZbHCL/ybGGKg1BMZUMCJGmjqaPhIPRExKBGqaipWSE5AZi8X0Bnu94w/0WbTWXLhwgatXryKl5IknnlhzMdiMgWNrVaoP3TIzMzOcO3cOz/NGYvMwbpn18EmIwTwsruuOWtpAMXRtKDg3btwYJXoMraDxoWu7VWA2EuCHwkVWCswuY7y2ZXz2wsONMN4Y+w5IhvfLUFSwhp2Tl89lWFC51I0wVmfkMkMU8RUEY5bLuJts+PcMVA2sEEkdRYyFhybAFjVSs4Qj6miT4ucGiU3NqhGpBXJ9CFveu6o7SRJOnTpFkiS8+uqrvPnmm5vasv9+C7cQYkVr+6FbptPpjNwyw3ToYafh3bhQbSY7ZVxytVrl8OHDo43CMNFj+NtJKUdiE8fxjjjn9fJJa3QJn0CBuV9ti2VZ22rBGHL2HRAkKXju8qMjRDJISy4EZn4+otLqF7EY6kBYCIepUgTzwzXcZFnhJiNEjLomD6wiwtFxMOBKl0B1yHUFVzSxZQZCM5de42Dlybt+jk6nwzvvvMPk5CQvvvgitm1vav+wjSwoq90ySZKMFq0PPviAPM9XDO7azEyd3bIA7hSBGWd1osf40LWZmRmWlpaQUnLmzJnR77fTMwth440ufd/flY0u4RMmMA9S2yKl3F4XmZjDsiBNDJ47SO0VMdpYyEF9ixmkIkdRBla4nGVmJMv1mIOfUhjQDRB91nKTCStGaYOU8Sg2Y5kmij4WNTRF36OKrBLrEGkqaBPgqwUyfRxHrrxkjDFcu3aNc+fO8dRTT3Hs2LHRd7rZAvOw7+V53prp0J1Oh0uXLq1Iq33YSZG7hZ0oMKtZPXTt4sWL9Ho9HMfh+vXrnD59mlqttiJhYDtcoetlowITBAEHDx7cgjPaej4xAvOgtS2WZW2bi8ygQc4NjqsY/hxCaIypFJYJEAQh9bqNEhGVusWw0aUhglGr/nE32eD813CTCaEIetCcAEkVRYjERgG28EhMREW0SE1EbmL83KYiGwgL5tOPOFg5Ojr/PM95//336XQ6a07D3MkdkNfaJQ/7cN28eZMzZ85Qr9dXTIp80D5cO/Uzr8VuEJi1qFarPPlkYVEPh64tLi6uGLo23hliJ6SyP0wMZjf2IYNPgMCst7bFsqxRAeCWn5tYGMVVHFejjUQOxcEsn6PjGrIchB0UfzLVIvAv8nu4ySwQatlNhkLrFsrk9MJ57HoLyBG0caQEPIwIwRgsKdAqpiIbaGMT5BkVG/r5HHvNIWxh4fs+77zzDq7rcvLkyTV3+zvNgrkX4z5+KBatYXbasA/XvQZ37VZ2o8CsDvKvNXRtaJmeOXOGLMtWZKg9qt/uYSyYMsi/A9lIu5ftdJFpFodF94UVol2witRhpUMsq/h5HMcjVouj1xVNKQdJAHd1k1UH2WQ5maoQ6wUsBKlZojFlSE2AQSFNE18tYdFGCo0j6ijZRWBhCxtf98kMOHoCSLgV3sLtO7z33ns89thjPPXUU3e9WTdbFLZ7UuR4H65hltNwcBewIn5TrVZXXFu7ZdHejUWL97MEVrtCxzPUrl27VsxDGvx2k5OT21Yl/zBB/lJgdhgbHWW8XS4yTRdDp2gHI4cureXCSss2ZKnAdgyJWira8A8+giEZaYohHHOTRctuMgy5qhDpWSwmAI2ih0AiLY3UDTLRRQo5eL0mVD6uaIOq40qbjB5gaNhtUqWx8LjdvcrS6ZjP/tiPsX///nt+xkcd5N9MVmc5DYPOs7OznD9/fsUcldJFtrVorR84xjKeyj5saeP7/h2tiMYFZ6tqpx5mmmUpMDuE1bUt6233sl1ZZFrcBmEwuIhBwaMhGrTYH6RMWy5KKxQ9wEUMFwMRY0wNIRIQCkEDCAqBMjUwmlB1UGjAYIbV/GgcMUFqljCD2pqcHhKb3PSxRZXU9FDaItUeFbtF1TJkOic1MUu+wkHw9OefZf/EvcUFdrcFcy/WaosyjAFcvXoVrTXvv/8+e/bs2VExgLXYjQLzMFbX+NC1Y8eOjWJvnU5nxdC18ZY2mzV0bSMxmGEySpmmvAMY1raMj1Rd782zHS4yQ4qhKJI0ZvlYQhjiGOzG8Hk5sbo1CNynCJoUMRYG6cYD4TBiZN1obRHo24DBZpKcBE1R96IJR50CjIiwTA1FiCsbxHoJV1TITUzFahCoJdK0jitdND3y2OAJl1qtRZ8ucP/2MR8nC+ZeWJa1Yo7Kf/tv/40DBw4QBAGnT58mz/MVXYbHiwYfNbtRYDaz0HJ17G28dmo4dK3RaIye8zBD15RSG3ptmab8iBlv9/KwHZC3w0Wmxcwo+G4IyZWFbRU3TLVaYRhfyXRM8RPdGW8xxHe4yYypEerbo+OogRgBSOGgDWgCkhC8GtjCRZlwZOGoQYqyHlhUnnToZUvEXcNEs0a1ahFkGbaATtJn0rv3Rf9xtWDuhxCCvXv3cuzYsVFb+2H8Zlg0OBSbqampTesyvBE+6QKzmrVa2nQ6HTqdzijZo9VqjQRnPcW6SqkNWUNlDOYRstlzW7baRWYwaHrLDwhN0DO0JwYXnojQRiJwycw1JFMMBUYTIIbxFpGAqRdV/EKhVZPQ3Cw+A20UXQwxkgYaH0WfQp0MeVoITCEoAjVoeJkZn4psE+seFdEgUktoBc1Wk0yA0SEGj0jZfJTMbKvA7LZFcMh4W/ujR4+itR61s7l16xZnz56lWq2u6A69nWOJd+P44e1sFeO6Lvv37x/FG4e978aHro23tLlXs9WNxGCGG5TSRfYI2IpRxlvtItN00CZAjp2qM76rEQpMlVQX1oQhWk4SEzmCFgyr7wc/n9F1Yu2PZZONtZcZ/cQKW0yQmy61BoXFI3Jc0SY1XSxhkxlGadKhHyDr0PLahCogzKFpT9FwFEFm6Kc+UZ5Qte9ejPhJtWDudZ5SSiYmJpiYmOCJJ55YUcMxvkMe7w69lYvpbrVgHtU5V6tVqtXqaOhaEAQjwbl69SrAioSB8aFrG4nBxHGMUqp0kW0nWznKeKtdZMp8hBYBaeRQqRYXm+1mKG1hDRYSbSA3C8BAYEyjsFhgxbyYotCyiq9mABDGAZGh6CPwMCSDBIGiONMMCjRtB3TWwNg+w6LNnB4Ci0z3yWLwGqCNAyJFo2g7E0QqRmiHzARkpsH1cIanW4/d9bOWFsz9WV3DMd4detj0cXxo12ZPidytArMTkibGi3WH1ukwQ204dM1xnJHYZFm2oWmWQOki2y62epTxVrrIwrAHlVmkBMepMQzSS6kJA0GzWQhMpvurbnx39FyDD2MiE2bhKJ5j0RxMpQRJDUUCaCwmUCyh6SOoFvEboTGAIsAyTYzQhH4OtqLmNMhEQFU28FWHqtVE6YRYx2hdp2rVQRoWkv493RWfVAsGNi6Iq3fIay1Y492hHzbDabcKzE48ZynlHdmFwwy1mzdv0uv1uHDhAt1u94GHrgVBgJRy146d2FUCs9HalvWwVS6ymZkZ5hbf58nni8VYyJXHyLOiVYzRFVJzHZsWMHSTBTBKUVYI2mBColwxmo8M6LGgviYY/Xt8xowlKiR5jNGS3Ezgqz4Oktj4KARGCmKTYasmtiWRxsaxJJHyadhNtLHophkN2yNWGdeDeY419635mUsL5uFYnVI7TIdeneE03h16Iz7+3fbd7pZ2/cNheVNTUwC88cYb7N+/nzzPV3T3Hs9QW/37DVOUd9tvNGRXCMx4bctWjzIeusg268bTWnPu3DmuX7/OKz/egFHNi48xdYQohMarFgtxMoq9WGNZYgmSNsPYizEGZWqkZg6QWIO2MJoYyzTQwseQImmh6aEJkFTRpGRKshQXbWcqYgKDJlY9DGB5Bke0iHQfV9SZSxfxxETxN1wcKeikPXLj0MtcNBnXws62CcxusWC26jxXp0OPD+0atkQZn+75IOnQpcBsH1rrUSIHFC1thvGb8ems4zNwhtMsd9tvNGTH/0rDQP5GCyfXy3AHsRlxmCiKePPNN1lYWODV117Eccb0XAAsB8hdT6BUlcwU9TGKHsaMf87ln8oYQ5APW8dopFgOAC634wexHPXHmAa91GEp75DFxXvFeQ+tQFpQdyaKowzcbblZHrU8E3fJdANjJI50mHJr2FKjtUNmYmbDsay4MXaTKOxGhkO7nnvuOU6ePMkXvvAF9u7dS7fb5e233+Z73/se77//Prdu3SKO4zXfoxSY7WN17MjzvNHv9+qrr/LKK6+wf/9+giDg7bff5sSJE/z9v//3SdOUU6dOPfSa9Fu/9VscP36cSqXCK6+8wltvvXXP53/rW9/imWeeoVqtcvToUf7BP/gHd72O7saOtWBWjzLeSNHkRhheuBtt6zBkdnaW9957j/379/Pcc8+Ry6vkKMbf0ZiM8Y+U6nTsrwrBBAxSmjV+kaKMxM99LNFEsVT8zWSjDLKcPhiJEHoQ4HfQukEv66IH2WWjjvtSU6VBgk9uigsn0X1cUSU1EXWrSaD6NO0GoeozlximnTZKhAR5SqqqNO0aF4N59tVad3wHn1QLBrbfpTeeDn3kyJFROvR4hXq1Wl2RMGDb9q7sRbYbzxnu3Yts9XRWpRS/8zu/w2//9m9z48YNvvSlL1GtVvkLf+Ev8Ou//us888wz6zr27/zO7/D1r3+db3/727zyyit861vf4id+4ic4e/bsqN/eOP/hP/wHfvmXf5nvfOc7nDx5knPnzvE3/+bfRAjBN7/5zQc+7o4UmOHo236/z/T09LaJCzy8BaO15vz581y7do1PfepTHDp0CIDIfFRU1Gt31HuscJNVEUIThRrlLA1mwDD4uxmzQTIEE+RakrMwcIsVf1EE2IPZLqCwmUDRASRp1sbXhbVTERPEZgmnashCgV01YCnQFBX8skWse7jSI1XxKJXasyT9PGfanWAh7WFTZdKtkGmBn2n6WZ8oy6iuCljuNlH4ODGeDj2c7jl0x1y8eJEoimg2m2itqdfru8oq2E3nOmS4YX7QTatlWXzxi1/kypUrzMzM8Md//Me89dZbfPe7391QTcw3v/lNfv7nf56vfvWrAHz729/m93//9/nOd77DL//yL9/x/Ndff53XXnuNn/3ZnwXg+PHj/MzP/Axvvvnmuo674wRmaLUMh0C99tpr23r84fjkjQT64zjmnXfeIc9zXn311VFqoTL+aJAX1BgG74vsLw+I8MMUr51h0Rj9XdHDMs6opb8xEl8tDP4W4pg6WhTBfIE7mk5pyBA4hJlHqpeD/XEeFM0ABLhOBU1EbiIqskms+wzrZxLdwxI2se5TkVUi3aNqVUl1iDYKz7aZSzLqliZUBqNrvL14i9f2H7vju/ykWTA79Rxt216RDh3HMYuLi1y5coW5uTnm5+dH7WympqY2PR16M9mNAjNcT9brFRnGYBzH4bXXXtvQepimKT/84Q/5J//kn4wek1Lyla98hTfeeGPN15w8eZJ//+//PW+99RYvv/wyly5d4g/+4A/4a3/tr63r2DtGYFbXtjiOs72TJceQUq7bgpmbm+Pdd99l3759PP/88ysupIyPRv/Wd7jJikwwu5ECAowzVjBpBvNeumAgyJPlOS+AEMsWQ46PMAIhDJqEOK0TmcK95tIkpQ9WhqVqaCvE2NGgfUw2itWkxscVNVITUpNt+moJV7rEOqJhe8wlXabdNt0sIFIamxZTrqCfw824e8eNfy9RyLKM+fn5B0rVXP6udubivRY7dXEeUqlUOHToEEtLS1SrVfbs2bOiw/CwfmMoOJvV8PFhMcbsShfZcD3ZSB3Mw9bAzM/Po5S6o/v5/v37+fDDD9d8zc/+7M8yPz/Pl770pVGS1d/9u3+Xf/pP/+m6jr0jBGat2hbbth+ZwKynFkZrzYULF7h69SrPP/88hw8fvuM5OeP9wfp3uMlU3sKyxOC5fayBUABociRgTJtYL1GRE+SD2Etm+giK5xpybDGBpkeUV9BjSQFBGOAMBuLZtkU6aOnviQaR6ZCaHo6okJkYW7qkKiTVAQKIdQ9HuES6hy1sDCmZSdlfmaSfZdyIFE3LQuHwZ7M3+fKB5YmXdxMY3/d5++23yfOcNE1H0wenp6dptVprLh47fcHerQwX69Xp0MPpnsORxMOGj8MsqEdV6DhcqHebwCilNuTqf1RtYv7oj/6I3/iN3+C3f/u3eeWVV7hw4QK/9Eu/xK//+q/zq7/6qw/8Po9cYO42ytiyrFHm2HbzoAITxzGnTp0iTdMVLrFxMt1HkY8F8zUr3GRoYpWMylkMgzqXYQCfPtLU6GeF+ys36VjDS4UjJsaC/Tm5bhKqYu4LRoLUODWNTZWciNT0UanAcg2p8REIDAZHVBA4ZFqi9SShSrFFk1gnVGQVWyiatqSTLTLltgjyCD/PaNhNLFzqluJMf+G+AnP79u3RsLJjx46NmgkuLi7y3nvvrahcn56eXlFgthssmN1wjuOslUW2un5j/DcaT6cdb2ezXRuA3SwwG8mA9X3/oS2YPXv2YFkWMzMzKx6fmZnhwIEDa77mV3/1V/lrf+2v8bf/9t8G4DOf+QxBEPB3/s7f4Z/9s3/2wN//IxOY+40yHi7yjyKN8kFiMPPz87z77rvs2bOHl1566a4NChMzC9RBLGeIafTITWZokpOtcpuZFdllua6RU8RechPiiTpqUEipTb4c7DcOYT6s+NdEPahNFH+zhUtuikJMk1vg5mgyPDFJbmAhiUi1JjMBTXsCX0V4UtPPUnyRkiqJMWDRwPMcchOyv9IkzDXziY9HFSFy3pq7zct7i4t2XGCMMZw/f56rV6/ymc98hn379pGm6R3TB33fZ2FhYTTIq1KpMDU1Rb1e33WL927gQe6v8YaP4xMih/NvhBArukNvZdX5+CiO3cTDjEsejhLYKK7r8tJLL/Hd736Xn/qpnwKK7/G73/0uX/va19Z8TRiGd4jI8PzXcx8+EoF5kHYvwwX7UfQdulc/MmMMFy5c4MqVKzz33HMcPnz4nhd7rGcBgzv2Wyl6SO0gpCHOFRk+eWLwvGU3mTPoKwY2vSwuBlUOLZexOE2Oj2OqICzm0yUqosVwZky9NYixCEhMH4GNIcfyFGiBI9t0s4xAFWJVtydZypYI8sIdluiESbfNYtpjym1yO+5SdxpcCpaYtFtY0qKbdWjYDXINDdvhjYVbdwhMlmWcOnWKMAxHlt5a3+945frx48dHszkWFxe5du0aWmvefvvtR7JzXi879bxWs962K6snRGqtR9M9b9++zblz50abggdth7Le84XdacFsZB2LooijR4/e/4n34etf/zp/42/8DT7/+c/z8ssv861vfYsgCEZZZX/9r/91Dh8+zL/6V/8KgJ/8yZ/km9/8Jp/73OdGLrJf/dVf5Sd/8ifX9TkeicAML+h7+SSHH+Jh61E2wt1cZEmScOrUKZIk4Ytf/OJ9O5zmJirqUgDHeMUESqBwk9XBpIS6C0DogzequzRAA+igVJPMdKnI1qCuBTLTw2I52A9VltLC5RbmPSxRFE9qkeHJoluyQQ/SkJcwShAmHqlbHLtutQhUj1j1sISFMoqm3aKTLaFMApiipYywCHIfR0iUUHzY63OkOoWUipk4IskdMq14v7PApyeL9PIkSXj99ddpNBq8+uqr61psxmdzHDlyhDfffJP9+/ePBGe4cx7+z/Pu3tm5ZG0e1kMgpaTdbtNut0fp0MNNweXLl/nggw9G7VCG7WweRhx2YwYZbHyj7Ps+tVrtoY//0z/908zNzfHP//k/5/bt27zwwgv84R/+4Sjwf+3atRXf66/8yq8ghOBXfuVXuHnzJnv37uUnf/In+Zf/8l+u67iPzEUmpbxvW3MoJsxtdwbLWi6yhYUFTp06xfT0NC+++OIDzexI9Ozo30VbmGT03xqN0RUYuLqku/Im1yZDCodu1h+8XozFXjTWWOwlVppMF5aKtKAqJ0jM0uB1y58j0yEOLWZVH2EPstYwoy7LCkVzYMWEeR9bWMQ6Zspps5j1mPYmuB132etNcCvuss9rsJRF9DNF23WpuDZhJvnu7et8enKaMAxZWFjgxIkTnDhxYlN29YcPH+bw4cOjnfPCwgI3b97kzJkz1Ov1UezmUY0p3m1uvM12Qa8e2JUkycid9sEHH6CUWjHdc71tUHarwNyryPJebOawsa997Wt3dYn90R/90Yr/tm2bb3zjG3zjG994qGM+8iD/3RBCPLJMsnEXmTGGixcvcvnyZZ599lmOHDnywDdEbJaDarlOV7nJ+oTZsqvLq4FWFaQVD/4eoPKp0WjlxPRxcTGDWI4aBPuladHJu6R9qAyK6RMTYQaDyYrU4zoZAZIaQW5AFiJVtyYI1BKxDqhZTULVJ9E+EjkQm4nCiiFl3Irp530cIbGkxk9iprwWYW5oOALPzrkWaP5/772LWlhgz549PPnkkw/xaxSs/s7Hd87DuSqdToeFhYVRX67hQjY9Pb2j6zoeJVsd41wdYwuCYEU6tG3bK+I397NCd2OKMjxcDGa3tuqHHSwwsPXTJe933CRJePfdd4miiFdeeYVW6852KHdDm5RsYEUA5AQr3GTC1DHCYtiGH0ApZyQwAptwRRKdwRJ18sF0y9yE2LrOfNxD2IJa00OZBCFAmYTqwDUGIIWNbSaZTZbwZLXwwAnI9HL3ZcGwB1lGyymsmEj5WEIS64hJp0Un6zPlTTAzZsUcqDTpZTGLaUaqmjQsF0v7/EnY468ePnzP1hjr5V7WgeM47Nu3j3379t0xpvjSpUsr2txPTU1talxgLXaLmG1nEs34/JTHHnsMrfUoHfrGjRsrrNBh/Gb1orxRS+BRs1GB2c3TLOERCsyDXNSPSmCklARBwOuvv87k5CSf+9zn1j3GNlDzRZqwWA5mG1MbCUyiJEprxLhVIyPsgeWhdZNI97GFGM17SXWEGGslMzMb4E4NEwMSqrJFMiiuVGZZnXIt6aZFmnOiI2TmoN2M1CTUrTaB6hJpn6qsE+mARAcIBLnJaVkTRDpFCpu6bGEMNO0GiU5whASRE6qEx2oTLMQJV/sJTSlZqFhcUjknxN0X8vUGl9fz3PExxeN1HcM29+NTI+9We/NJ4FE2u5RSjoTkxIkTIyt0cXGRc+fOrUiHPnCwSbNh0WrHPP+pCSyni84rGLM74m4bicEMLb7dOs0SdrgFY9v2ttfCDFNlu90uzz33HEePHt3QDRioOYRoYuiOHst0iicBLHp5H4OhajzMMDYjciQtDD7d1EeT48g22cASUSRURBNFn6gPcsJCYqEH814Myzv81AR4so7AZibu0LQnydQgVVouPy83y+nTlrRAF6nPDWuabpZwPYmIlCY3CRNOk5m4x16vzbUw5HB1Aoxhf8WhE/v0M8W044FdZd4P+X4S8YS1OZfY8DfYyIK4uq5jPC4wXnszPT390Gm2n/QYzMMwboUChGGAUktMTxv6fgfX8wijmEOHqyRJD7c2Q541UNkkmJ09kGsnxGAeBTtaYLbbgknTlHfffRff99m3bx+PPXb3ccD3whhNpBdxZQ1r7N5VhMWNYDzMICNMUMOMu8mMQNIiHwhTrpfrXAD6fki1BqZSBZPgyAaJLuI08aATcj5IU5bGYybpAIIg72EJB0WGtnNEamPcnERH1KwWoeoRqwBPTHMz9AGfRGdoDHsGwf1Up0hgMe1Tt1xuxz2McVBZjkkVhxp1ekaxkATF+GWhOBVGfHpD3+LWcbfam5mZmRVpttPT00xMTKzbet1N7CSBGUeIjD17IozxsOyUtlXDGEWtXlgBufKxsYjjJar1RdJ4L9LsY8XNsoMoYzDbzE5zkXU6Hd555x0mJiY4evQoSZLc/0V3IdZLaHJi3acubBDLVpjSFRK9/JkSHWHLZbdXavpkWWX57yagKqqogWjYVY3FJMnAqol1gDDLbjRLeOQmwsJlJg6wpUdmEjR6kI68BKy0drRRVGSLmSjDFopEF+c77U4wly6xlPVxpU2oEvZX2nwUd9njVbge9qimKYsS9jabXE9iDlYaVGsGYXJuB5p3TM7PbsIi9jAWzP3e9261N+fPnyeO4w1Vre/ERXstdmLQXMoUz+sjZYY2oJWFZaUo5eA4Of1+Tq1hobWgUtMIAX54jTi6Tr8zwdTU9EOnQ282Sql1x/2GLrIyBrNFbEe7GGMMly9f5uLFizz99NM89thjXLlyhSiK7v/iuxDq+eG7I2iOMsGgCKIXhY3FAqRIqFC4vaColE+xYWz8cZIY7IGrWQqLSC/fOMpkNKyiTxkUvcNs4RLlHqkJqIg22WB4WJD3kcJCo8BVVGWdWIfk2qWbGvw8BVLadp1uHtDLil1ibhTTg0LLQIXYQjKfdPEyiByYsqr08gghBJkxzEYpVbvokeYr+P/euMlPHj2y4e9znK12Qa1Os11dtS6l/FjV3uw0C0bKhFqtg9YCrW2klZHnEovlTVGR4SkwxkXKBGMkrQmL9qRBSp8P3r9NnucrukM/6qmQG4nBhGGIMaaMwWwVW52mnKYp7733Hr7v8/LLL9Nut4GHt5wCNT/6d6oznLHrShsXCzFq9QKs6K8c5YJYrQzm5zLG0gIhDZIW3byPJSRmkEAwPqjMoBGmRW8w8bKf96hIl5wUjRqlJgMIYZPkDRbSHnVr2Yc9PG5mcqbdNnNpl07apSZdQp3SFhUWTEzTc0l0Rs22WExjDlXbXPZ7VGUN13LROsOz4I9n5vjvDh3Ee4i6lEe1OFSr1RW1N71ej8XFxVHtTaPRGC1i7Xa7jME8BFJmeJ6P1hLLUuS5hTGFRWOMRMoYpaA22tAX173WHkIUG7KpvZqT/4snCHutUcLA5cuXsSxrRXfo7d4YbMRFFgTFGlG6yDbAo3aRdTodTp06RavV4uTJkyvM14206x+S6YjMLItHagLcsUB+kGeAs8JVnOg+NgJhLPp5DxBUWZ71Ii1wZRtFwGLaQ6OpWRMjqyU1ETXZJDV9XNHgdtxFIotiTgyurJEPRChUPhgwSnA7zRCmuOgDFTHltlhMe/TygAmnwVLms5T18YRDYjLajkeYpPgmwhU2ASn7vAazic+hSpPbUY+24+FKwbWgj20J+qlB6pT/+/nL/N1nH74e5lEu4ONDvIa1N0PrZlh7M9ykhGG4o1vZDNkpAiNETrXaQQiFUg7GaKSVorWDlDF57mLZKXFsqNQEWjsIOezHFyMEReGyXAJxmVrzUzQaRzl69OgoHbrT6Yw2BrVabSQ22xFn20iQPwgCLMva1VbyjrZgtkJgjDFcuXKF8+fP8/TTT3Ps2LE1u8lu9LiB6tzxmKEGJEg8AhUisahYyynMBk0a2Qhpw6CNf68f0Ggvv0dqEixRRw+C/7GKVvQn0wgEFgtJTm4UE/YE/sBS6ed9POmQk6FMjpPV+ChOyKyElr3s3010MqjtL+bWACijmXCbAyumhxMLqvUWQriEeY4xkim7jS0lk24VR1pcDnyO1losEuMrhTFwaqnD9SDkaH1jbS92wiK4GsdxVjSBDMOQubk5Op0Ob7/99qj2Znp6etN7cm0WO0NgDJ7XxxiJEAopc5Sysex0tKEQosiUFLK4Lo0WCAu0dhFy2O2CYuMmIJeXcNSPIbBXpEOPF+V2Op1RnG08bb3ZbG56/GajFky9Xt9RsaT1sqMFxrbthwq2r2boEuv3+7z88stMTEys+byHEZhONocQ3orMsFQnuFZRBwPdYuiYaI9avQBoYUhYdnU5dYGFixq8jzaKaCwelZmEht0i0UU2Wqz7OEwRDTLKfFUE/40waDSu1SJXHWzhMp9pssGaMrRWerlPpBKm3DYLaRc/j5h2WyykPcIsJutC37FoeXXO+wGCgLpVZTGNOVhtca7X5Ui1zYW+z7HaJFooApPhGUkqBLk2fPvsZf7li5/a0Pc6ZKe6oIa1N67rjiaxDptAXr58mffff39H1t6st9nlVuC4fSwrQWsLrW0sK0cbjTECKZNBLCZGaxuvkqG1ARkOzl8UnSmMhRHF5svoGloukZuLOPrO2fWr06GHcbZOp8P169cBVsRvqtXqQ39HG4nBbEar/kfNJ8ZFtrS0xDvvvEOz2eTkyZP37G+20ZHJxhj8vOgubMb6jmUmwjNVgnxZQFKdY42tL7kSJLnGHW7wBUhRGzSbLHqZZVqvcK3lY9lorqjTS5f/OzcZE84Efr4EQD/rU5Ee3dQpXFypJK/owXP1qLVMqCKkEGhj0MZgUo8rKqHtVchMxkIacLDS5KO4X1hhwGISUpEWs4mPK2zmkpjZJOWQXSGVCUpkZNrmdhTy327N8RcO7V33d/uoF8EHZSiA48kATz755B21N8aYFTGBrWxxf7/zfZTfrbRibLvoQGFZOUo5gxhMTp47g8cElgStJcKCKDRU64UAGeEXt4T2YOQyAwQo6xZS78di4p7nMB5nM8aMNgZzc3OcP38e13VHv9Pk5OSGeiM+jAWzm9nRFsxmCIwxhqtXr3Lu3Dmeeuopjh8/ft8b6l7t+u9FqLpFerKKcVd9s9rUVrjPEh3QlMvpx/00x2gLl+XjRrmPLQVS2MzGPTSGtlMjp9i9xTqgbtVJTchSCt2sT9OpkOqi3UyQhzBIYdZocj1BJy3OIXM0rrDJTI6fh0y5LZayHolOmXImiJXhfL+HGxuoSLqk7PEazCcBkU6whGA+DThSa3Ej7HOo2uJy0ONwtcYlP+BEo8WFfp/cCJLMwrYMGfD/unaTHz+4Z8PVCjvVgrkfq2tvhovYeO3NsNBzO2tvHq3AGFzHByMKl5iVY1kZSjlYUgFqEORPBu6vQRul4TRYXUEMHtODewLjLHsGjIPPRVq8OBoLfj+EELRaLVqtFsePH0cpNUpbH3aBWN0d+kGEYyMxmDAMd30PvUcqMPea2Q4Pn6acZRnvv/8+3W6XL3zhCw88uGejwtZXReZWamIqZjlID5DqoiPycBQyULS5EBFpBKYiwZjRzBYARU5NtlFGjGIv4MLwZirOFle0+SgrXGU2HinFTZeZlAm7ja+6eLLNjbCLKxxSk2EkNO06i9kwppOCAc9ymY8z5uIIIwW6ZuMhSHROrovxzUGecrja5lpYuNIcIfgo6rHPq3Iz6nO42uBW1KdhWWArAjS5sgFDP8359pkr/MJzx+/7+4+z226ye53v6kUsz/NRxtPq2pvp6WkajcaWff5HKTC208eyUwQCrS2UsrHtDCEUWltImZHnNkLmaGUhrJA0NVSqhcBok4AAo6sgi42T1h4M7jut6yjRJTWzeOy/63ncC8uymJ6eZnp6Gijc7GsldgwtnLv9VhuxYEoX2RbzMGnK3W6Xd955h0ajcV+X2Go2mkXWzxdG/zasDOj2swxXNMkGFfwA/bRH1QbbbkIegABHNEjHmmRmOmchiUf/3ct6NB130OEYYh3RT5Y/21LWp2F7pAPXWqhjqrKwLgAm3SaLaSEqi2kf13JJdUqoYva6U1zo94hNRNPY9MnJjGK/1+KjuEcvjzlQaXMr7jGXFNX8gUo5XGtzJehhi2KfmJscMLQsyXWlqAgbH0WgwBPwxvwi/6vONI83lgtKH5TdasHcC9u22bt3L3v3Fq7DKIpYWFjYltqbRyUwQmRYVoxWDlJqLEuhlEApC2U0aR5i5HwhGAQYVcHogLBfpVGrFPfzILivzcB1bMRo/hJGkmgfBERcwjF7kOLhxze4rsuBAwc4cODAiqaqnU6HK1eujBIKhr9VpVJc4xuJwZQusi1mI5aEMYZr165x7tw5Tpw4weOPP76h3lXrHdesTE6olsUjzAMqg2JDiUM382nYLcatZGEZbNGmo5YFJMgjbLls6SjjYAtJboqBYgaDRX0kMEYPdzjR6O+2qI4EBgO9bPlnXkh7eNik5IPq/iqpTmnZTS70esRagRT4Vk7LLgooZ5MebadKN4tYzAI8aZPonH2eh04NyhgOVdoo4Fh9mlTlPFGvMR8F7NXQcRWB0tSETawhU5r/6fQVfvMLdwZg78ZusWA2QwCr1SpHjhwZTYwc1t4MOw6P195MTEw8VLLAoxIY1+0iZREs0XowihdFnPsY0QehMcO4iq5gZB+MhVXzSa0+OjuAbUtAwii4XwexOPhgTYzoDd5XEJjbNMXhTf0Mq5uqjv9Wt27d4uzZs1SrVSYnJ9Far/va2O1tYmAXuMjWIzBDl9jS0hKf//znNzzLerjTWM+uw887MNZ+RZFj00LRRVIHevh5n6ZlI6yx1jHGIjXZ8mcwKXXZGrTaF8xFEbZcuWPt5X2qlsSWLpf94iZqOx7JQFSWst7Iiolyj24WIhGDqhiDK1zSQbflxbTLpDPBuX4XIwR73AbzeYABHDm88cEZLGKpzjlYmSDVMJdkQIXTPZ/9lTo3wwBX2ggsQpXjGptAw6FanRtLPs2qIskElrFYyjL+b+du8reeXt9N/3G0YO7FvWpvTp8+TZ7nK3bM6/HZL6cAb6/ACBkjZYoQAikUxlgkmUbJWYxQoGtg9QqBEWCMHFgodSxrCZVbZGIGmVWpyhbDOmU1cJkBJCpdHtBnPPrmBg1zaEs/6+rfauj6XFgoPBtvvvkm7XZ79HvdL5OwtGC2mPXEYLrdLqdOnaJWq/Haa6891BTM4Y++HoHpZ/4dj+WDzKwoX3a39Xs5rTHdC5TGEVUys9waJtUKBHiiRaj7oDOm3BqJLmIvyigcMUGUG8ygk7IlKjDMOBtYMbaocTEsBGif16aTLQHQMyF2CtqFuqxzdaGL8Yobr6PCketrIfXZ6zWYS3wW04CDlRapFpzt+TTsCrNJTMvxsIVgJg54vNHikt/ncLVKL8ho29DJC4GqVAVzfWg6FtI2xJnmj2c7/HeHpnisef/amN1iwQzZqvNdXXuzeoDXempvHo3AGBynjzE2Rhe1YJmKULILugLCBxFjjA2iD8YpLBEjyAfdL/LMRXox2iR08y4t4SGQaDmIU+oGahCHEcbBH6Tyh2aOuti3bZ906PpstVrcunWLL37xi6OEgZs3b466eA8FZ/Xm4ONgwTz6RPx7MIzB3GvXOnSJvfXWWxw+fJiXXnrpoUcsD0VlPdbT9WgWW6w8bqj6SDwW02XxsetOkdkFSCxmIh+1aqZFqAIcanSz5eNrs3KhSLTio3D5fRfTHp5Yfp9YpdyOkrG/+zhieT9htKEqKlzyA0JXMO0WF7Iyhpq9/D6hypDAHq/F7SjnUj8g1RrQSKCXJRytFb2SZuOApu1wM/J5vN5gIc84CFwJfFrGplWDRGh0JhEacuB//OD6/b/cAetJCvgkMBzg9dhjj/HCCy/w5S9/mWeffRbbtrl8+TLf+973+MEPfsClS5fodrt3xBXHU6q3C8sKkTJDWhopNKmKyE0M5BgRg6mBTIuqfGEGVowB0wSRoXIQziCbzDTJiVnKEvKx/nz5+Mc0yxZA39x4JNePUgohBLVajUOHDvHpT3+aL33pS7z44ou0223m5+f58z//c15//XXOnDnDhQsXuHnzJr7vb5oF81u/9VscP36cSqXCK6+8wltvvXXP5y8tLfGLv/iLHDx4EM/zePrpp/mDP/iDdR/3kbvI7sX9XFV5nvP+++/T6XR46aWXRvM+NuO8hBAPLDCpTunnARNuCxjvC2aIY29kZQDk5DiiRUYXWzTR9OikPdq2HFXxA2jjjYLxULi9Jp3l4H2QCVpOm+6gzsWw0ooJcxt7bGJmbhRT9rIVoyV8tBhjqsWNmah8NOlyLukz7dZZSAMyrZhypvmwW2TpHK21uBr0WExjjtXbXA56XAt77HErzKcxh6tV+nlGJ42oSEHX0kzbHoFUmNDgCUlsaTIDNoaPkpT/6+kb/B+e35xmmI+aRymAqzOehrU3CwsL3Lx5847am6F1s30WjMF2ilZIIMhUghILgAe6hpBBUTBpRGHJGDmKo6hBZmQUWHhNDUaQmGFqsmQpi2m5EnBJ8YtjGEmglzdhxkgi06UmJrbp8xastX6Nd/E+duzYiqF4v/d7v8ev/dqvUavV+MxnPsN/+S//hS9/+csbrpX6nd/5Hb7+9a/z7W9/m1deeYVvfetb/MRP/ARnz54dFZuOk6Ypf/Ev/kX27dvHf/pP/4nDhw9z9erVuxam34sdbcHcy5Lo9Xq8/vrrZFnGyZMnN01cxo/9oJlknXQJgMUkveNvM4v9Ox5LVPG+/sBCMRhMvjKjylfgrLKIhCgusIqscSsO6AxiK0MW0x6e9GhYbW7HAbNJj8ZYE8v5pIcnXISGbiyw69VR2KiXxxyoLvemyY2mZVeIcpsLfpeWU5zLjbDHHq9waX0U9ZlwXAwghUACNyOfY7UGocrZP/hby7FIdI5JDZarSSJNVQoio4kzzf88u8CP5u78nlazmyyYneDSG9beDHfML7zwAs1mk9u3b/P973+fP//zPwdgcXFxW8ZiCCukaIRnkeWK3ERgKgiZYFCDoH4Iul6MuNB1EAp0Y2DdSOxqcZ7CtJYH7Zki/hjnTZT2GAZfpGliBi2PBJJ+HtLJP9ryz7maB6mBGQ7Fe/LJJ/n617/OmTNneOKJJ1BK8fM///NMTk7yV//qX93Q8b/5zW/y8z//83z1q1/l+eef59vf/ja1Wo3vfOc7az7/O9/5DouLi/zu7/4ur732GsePH+fHf/zH+exnP7vuY+9ogZFSIoRYEYcxxnD9+nXefPNNDh06xOc///ktaQa3ngSDxUHxYqBiPLHsMzUG4pqLI1b6UX3l41DENkaPkTIszLeEzY3QxxYrYxNLaQ8Lhygvdp6JzmjareXjARZVbgTjowaWd04aQxZmpJEkciz6KmV/ZVlU5hMfb+BGs4RFrip00pTcaKqWMzoGGCSFCNUHBYHzacQTjQkOV9tEOXiiyodBgpMKzvRijtUncByb2ZmchivIjMLTUHUh04JvfnCdVN1f0HeLwOw0hrU3x48f56WXXuLLX/4yx48fB+DChQv8yZ/8CW+//TZXr16l3+9vwfdssO0+UhgMmlzMgSxEw+gKQsYMr1VDBEagRbHpUGZwY5gmli0wBhKzPFQvGowJD1TMqJmFKVL0h1imiSKnp+dXTHHdDjZSA3Pw4EGmpqb46le/ypUrV3j33Xf56le/uu5jp2nKD3/4Q77yla+MHpNS8pWvfIU33nhjzdf83u/9Hq+++iq/+Iu/yP79+/n0pz/Nb/zGb2xoE7Kjg/xCiBULfZ7nfPDBBywsLPDiiy+OXAFbwfoEZmn07ygTyMG36ooaiU5IlY1YJeWp8hgvmFQo0lBQaRps0UCZPvOpT9uxB3UlhUA4ssm1cNl11skibFFkiAHEqqj8Z1CsuZD67K006A2TEKRDJm3QyeDcQ1xhkRpFqhUHKy1yY7jYDwsfv+3i5ykzccCRaosbUY/FNOJovc3VoMtiGvFkfYorQch7S0UNznyScKzeYCZJ8KWhbTuc7/fxXJv6hE2sIEyhYhS5lEht6GWaX/7eB/wfv3CCWm3toP9OsArux24RQNu2R1b/q6++umLuzbCeY+hKm56efui4ppAhUii0sUlVD4QHMgUZYnQNsEH4xb+FX6Qcyw7o+iBFWRQWjwCd1dBWce8Y4zF0SwtdYyEPmPZshKmNZiyBwM+Hmy7DUn6bPc7GptVuhI1OswzDcFS4+fTTT/P000+v+z3m5+dRSrF//8pC0/379/Phhx+u+ZpLly7xX//rf+Xnfu7n+IM/+AMuXLjA3/t7f48sy/jGN76xruPv6BgMLC/0/X6fd955B8/zeO2117a8hfWDFlsmOh0MECuYi/vsrwmQBo0HJCymffZVlosjARaSHIk16loMkAioAHNx8TxlNK5okY8VXvZScAYtXorjZ0xW2nSzJapWhUt+jz1eA1jevflRjJGGinS4pTQte1ntEp1zqNLidlKIVqYNi4kmNwaMYY/rDgaRwUJa9ByLtWIm9nmsOsHlIOJsr48UktwYXCmwBFwNfI5XqlyJI/Z7Nr0speoISMDkmkpFohOJkQKhQThwLsz5P//R2/z45HIsYWJiYsXNuVsW8N3A+PVdq9Wo1Wqj2pthPGCzam8suw9Ckql+Ybkgi6wxmYCIyPMqmVGkOkARY4wGbBxsHLuJGMRjjIF84BqTxiM0RUxH4tIfZIslqo4Yi3vaprlcgAl0lc+0vX31Pw8zLvlRpClrrdm3bx//5t/8GyzL4qWXXuLmzZv8D//D/7C7BOZBkFJy+/Ztrl+/zvHjx3nyySe35cJ4UAtm2Ntr+YUSz2qRmCWWkoGPGIOgznCn5QiXq7HP4erEqPsxgHGhIqe5NgjEA8ynAQ27ECJPelzudzlYnRgF9wEW0wBHSDLlokmZTXwOVBp0B1ZLJHL22g26OeQmYjGLqMWKrFZc9B/FRSGlJSQX+iFtpzIK+H8U+xyqNLgV+0Qq50i1hZ+nJMpiPlX4A/floWqFfp4xm0ScaLY41+szm8bUtOFGGPJsq8WZXh83UVh1m7SnoWahfI3r2kSJRloWb5oW/8t905jc5+zZs6RpysTExMha3Q0CsxssLVguslx9vuPt7U+cOEGapqN6jo3U3ggRI2SG0RaaFIEFIgGRk+cusQ7ITR9JHSUiLNMioYdFg75eglRiUaVh1/H7AXZjGHupMEqq0RUYiEqUi2K43eCUgrFCZguXG9Eie+w+7TH38laitV63IA9T0B92muWePXuwLIuZmZkVj8/MzHDgwIE1X3Pw4EEcx1khis899xy3b98mTdP1dUXZ2GlvD3mek+c5N27c4HOf+xxPPfXUtt28D9pReS5YvOOxXpZj4bCQLrvAOmk4Sk+2RB0QLKbR6LEhfrbyJ8mNomoVN4IwVQyCmbiPK5fTllOd03QmuB4tx3SiXGHGDDAjvBUtZxJbYg3uQANULJfrYUpuDAtpxNH68s3XzRLcgY/PALlyuRXFfBSFPNEoboBbUcCJwb+v+D0OVaqkxlAZxGuu+D1aSuG0LPLA4DYlKsip1wSZVtgYLAGhgm9eXOKxE0/y6quv8vLLLzM9Pc3CwgJKKU6dOsXZs2eZm5vb8nHaH3cetIrfdV3279/P888/z2uvvTYqYl5YWBil13744YfMzs6SZdkdr5dWD4kk1f2i6aSxMLpGnCkiPQvGAzTaZGDEqCZMDUYjO7SIdMhcGtIbeLqK2EthdVtURrUuAH6W00uLjYhNi2yskFnpCgaYSWc39qVtgIexYB62DsZ1XV566SW++93vjh7TWvPd736XV199dc3XvPbaa1y4cGGFhXvu3DkOHjy4blfpIxWYe13cvu/z/e9/H2MMTz311GhG+nbxIFlkMzMzfDjz0XgBPwBLWYikxXhv/URnuLJYtJfSYmGMVDoSDwCU4Xx/ibq10ixeSANc4XI18AdP01TkyjjFXKxwx+pcunlMbVA707ArnO112estH0vZy7UvrrS4EaZMucvHvRX6NOziYgpUxoFqgwOVNqe7Pr08wRvsyK4FPtNu4a68GQZMux4ayFBMWjZSG/YbichAulWyXKJs6PcgziELDGmQY1cFqdZUbEGgFP/9n10Y1Q4cPXqUF154Adu2R92wL168yJ/+6Z/yox/9iKtXr+L7/o6wbnbCOTwoG2kTc7faG8uyVtTeXL58eVB7kyKtlEzHFBdBikERqAW0EQhscnpIWigRY1Fkh9mmRUaEwC6KjQGXNqYpSdMG2lQY3l9au6N/u7SITUJfxVi6STg2IsPGYyYp3ms2nS96mG0DDxOD2QwX2de//nX+7b/9t/y7f/fvOHPmDL/wC79AEASjpIG//tf/Ov/kn/yT0fN/4Rd+gcXFRX7pl36Jc+fO8fu///v8xm/8Br/4i7+47mPvSBfZzZs3OX36NMeOHaPb7T4Sl8O9XGRaa86fP8+VG9cIn3A4bNfx1co023525zkHuaZmu1yNA4Y3RD/LsQfXXhZCJg2pXqn7qc6RTJGbZXfaTNRn0vWITULbafJh1+dIrcXCWO1MYkkkgih3UCbjZuTTcjwCVQT4b8c+LddDaZfFNCBSehRjyYxmzyDAbwtJP6XoUwb084xj9SaXfZ/cGCxZJEtnRlO1LB6rNejnBktoLqERCg7XalwJY55o1DnbD6log/Fs4lBhtxyinqJiSXJLY7TgUj/mN390lV/63LHR5xlmQh05UtTMjDeFvHz58ooq9qmpqW1reb9b2Yw+ZKtrb+I4HiULXL9+nSNHKxw60kTYCY7jgXFIVIAQBkUXYdpAD2WKLLLUFDUsw3ovizqGLhKbQA1cvkqTaInjgE2Vni7iMALJUracQdlNLbCWrfpcewzdaLnJmc8W2edu/cZ1IwKjtd60Sv6f/umfZm5ujn/+z/85t2/f5oUXXuAP//APR4H/a9eurXDhHT16lP/8n/8z/+Af/AN+7Md+jMOHD/NLv/RL/ON//I/XfewddQcqpTh9+jSzs7O88MIL7N27lx/96EfbkqO/mru5yJIk4dSpUyRJwhMvPMft3gUidacheMWPqDvWcool0M0C6vYkjE2y7OURh5wmse7TV8V0vrnE51C1RqgKF5tAcC2MsZHkg3kxRUZZhVglLMbFYzeDHnVADbxngUo5UpniTK84njKaiuWOBEZhqFt13vOLv0cq57Fak1tR4W74KPJ5rNaim2ouBQETjosjBJkxXA36PFZrci30mY0jnmi0SLVmJsqZdB2uBoXg7lM5s5ZDN8tp2TaXggDHN2QNSTUwiKaN8DW0bHSgQUOS5NiOxX++scTT7Rr/6yeKLsOrF8PVTSGXlpZYWFjg8uXLfPDBB7RardHit5Ut71ez22Iwm0mlUuHQoUMcOnQIYxRY14jTPpDT68WIasQwwG85gpwukjaZ6GLpNjldbNMmooeFR6iHbrA6etCJPNOCyATskW1yFMPNmk2TfJCyLJDMxAlH6k0y+thUuJn0l58rbK4EnW0RmI12UgYeOgYz5Gtf+xpf+9rX1vzbH/3RH93x2Kuvvsr3v//9hz7ujnGR+b7PG2+8QRAEvPbaa6PW5Q/Tsv9hWMtF1ul0eP3113Fdl1dffZWeKMzvm2Efd6wosmrV6OYpDevO3Uc3vfMrj5XAFS6+vfx9KL2s/S27yUIS03RXBiVn4h5T7iSzyaCTsoB6ZfmCdKXN5SAc1bBAIRpFlhlM2lXeXepwpLr8mmthn31eYZbbQhLmgvlBAelSlnJo7LmLaUTNsmg5Dv1Ms5Qa5pKUc/0+U4PfrGtb7Pc8+nnOtOciAdEUJEsZ1AWmn2MaErWUQlWQpDk1zyJThijT/Ob7N3l3drwae20X1DCt9qmnnuKVV17h1Vdf5cCBA/T7fd5++23+7M/+jNOnTzMzM7NmnOCTyFZ3UpZWgG0LKlUHz23i1l2EroEB6YT0lhK0gSTvg7ZJ6CGwSEwwOL/iurWp4KvB3KKuJjJFLNHPDOmgE7OFQydd9iK4NIl0xlxU3MOpWnajAVimztVoEbUNbrKNDBsbCsxub3a5I4L8t27d4o033mDv3r28/PLLoxkKsLljk9fD+HGNMVy5coUf/OAHPP7443z2s5/Ftm1m46Xi74AzVhQpTCE2M6sq+21hc7bXXSFGUPQJw9QZL5aZSfpUZVGF302Lm+BW5K+Isxhgvr9ysZxJfCac4qJs2HW6WUrTWdklIMhypDLMJgqDYD6JqMjlHVagchwhaTsNLvo+e7zlbgCXg2KgGECoco7Wmiwkhot+SJDnDJPHU8ehaVkoIZCySF++HoY8224iBAitCeZSHG0IFzIcW6B9hVexSIXGMoaKK0kV/Mr3LzEXJutaDCuVCocPH+Yzn/kMX/7yl/nUpz6F53lcvXp1RZyg1+ttatzk4x6DWReWT6YjBIZQdzAywHIzHLuJpEq9LcjjKmksmJ/LCfuGsC/RKCxTIx6MqNDGZugCU05xjwgE3SzjeuhjU0GY2qgWzBYOt+PitUt5jGMmmBsXH+FyLeyTG8XtwT28lWzERRaGIY7jbHk5xlbzSF1kSinef/99ZmZm+OxnP7tmX5yHnWq5UaSUoyy2Yb+z8REAymjmxy7a21FEc3At9LJCELpZwj6vSS8vnlez6uTGxxI1WFVNvJZlo41D3YJzQeEqy7SiZrdIB1Moa9rhchqx33Hp6eX3S5ShaXlc6BXHvR72OVytM58Eo/OqhoaeW3yv4cA1diPqD/6e8kRtive6SwBcC32O1Zsjt1cnTalZFtNegz9f7PFks8mFfp9uljGNYQ5BqDWHKhX8PGcuSXi22SJRsJQoDlWanGkHZJ0MVXOwlUEpQa41VgpppKh7FrHSuJYgVpq//18v8HfbG1vAV6fdJkkyit1cv34dIcSK2M3DFhXuFrZUYEQKRCA0qdJIXMDFiARDQpLViLQkkQm2rGDaIZl2SUwGviAPAppTAnKHxC6uW0vXEW4hHJ5o0Rlkji0lTtF5efi5dBXFstU7H0vGrRelK+jB36/HCxyubm6bqdVsdJplvV7fNe7Wu/FILRitNXmec/LkyTXFBR6tiyxJEt544w3SNOXkyZMr5svMJz302GLnq4yG1UQi+SheLrz0x7Rx+O9bkT9oRFnQtGtc8HuIZKW5PpP00Xql9XEz8vEGKcqdeBCwFPaKTLbFNMISdcbfLVKK4bTm/ZUmH1k2zTHX2bWwz/6Ba+xItcU7S0scqCxbZTNRSMsunh+rnP1ei/eWipv0iu/THLgTF4Tg6YHf+FYcsz/NOFJt8MPFPokWXPRjrocRlRwqkw5eqMCR2MIgLFHMq6nb5MqgbAF5keY8G2f81kf2plgInuet6Gr7Yz/2Y1SrVa5fv873vvc9/vzP/5xLly6xtLS0ocmmu2VRMMZsXSdl2UWZlFwbMhGghY8WMUlWo5c6dPUSRbtTPeoWJqQLAipum6Rh0YltwkFmfR4beoNEGhuXmWQ5LbmbgkXhPvZEdZQpBtC0GnzoL3car8rqaCMFcCNaROmtXV82EoPZzE7Kj5JHKjCu6/LCCy/cs0voo3KRhWHI3Nwc+/btW7Pf2WzcvfM1SlC16qixNfCjOKBmVZEIboaFJZIbjSfHgncDl1qWrlyYbCFZTFY8hDKauJ/h5ZKlweKwkEbsry7HZ6bdOleCEG9MxBbTmAO1Nq60uBmlaCGwsFYIU6hyDlYanOn6GMDPc9zBYhlrRdNxcYWg5dT40VJhuRSfxyBse/Tcy4HPE40Gh706l4RHpkEjuOD7PNGoEmuNYwnIDKZtkc5EKE9SyQxUJXam0VWJHSsyV9DPFdIYbivJP3vj1t1+sg0hpaTdbvPEE0/whS98gS996UscPXqUKIp47733+N73vsf777/PrVu3SJLk/m+4i9g6C0YX7V4wZCZBGhd0kyit0tdL5CbHoU5s+ni0SU1ERbSIdYCNSycrBMCzG8xJTZ43se16MVwJWOolo8vWU1UWs4iLvo8jPIJs2VopNnsZIAZpzcM6s+XPXLE8rkcrM0A3m43EYMbbxOxmHnkM5kFa9m+ni0xrzZkzZ7h9+zbNZpNnnnlmzYtjKY3veOxW2CdVd3odDS51u0Eythv+KAqRg17INwfbtMCR1MZmukw4Ta6GfSadlTsZ3xVIb2V2yWwcYw9iOGEuCPKcKW9lksGtyKftNOgNgtxzWcLR2rIw5VqTa2dk+SxlKQdqy+8xl0Qcqra5MmimebnfpzEQ/57WHB3suI7VG8xEOTeiFCMEN8OYAxUPZQyLacIezyGSBtVNQRvqBzyy+Zi8KnH6CjyLbCFBtGyyIKNetYikQRs40034p3904Y7veLMYzlz/1Kc+NepAXK/XuXXrFq+//jpvvfUWFy5coNPprGndlDEYMLKPMhGpSkFkaAOd3CcxKS5tclKUKYqRQ+MjsQkH7Za0dtEYKrLGXFpYKZGymMskwkgyH/JKcZ1LLZkZ3IcGmO8KlvLlNOWqbBCo4lq/GoTUZXOUEDNkIYZL4Z2bxc1kIy6yIAju2pNvN/HIBeZ+bKcFE8cxb731FouLi5w4ceKe0wDP9nxW35oGQZDfeSFdD30StfLxROfUrBYtu04/HwTqhUCPZY91Bq1ho1Ufv2F7dFdtpkOVMe012es1uRkVN9HVoM+Us3yRNm2PXrZyAbwZhdRtBwE4ssLZXo9D1WVBKyZU1rGEoGHXeL/bZ79X7AYV4FYqI8vlVhTxTGOCU52A2SRl2nMQxpBojTaGmiXxc0XFEnhSYHuS6EoIfY1xLFQ/J21YmFBhTVeIZxM81yLvZtQNCM9CS8PrH/X5P33v8h3f82YzrLt5/PHH+fznP8+XvvQljh07RpqmfPDBB/zpn/4p7777Ljdv3iSO79xw7HS2TmA65EZjhEarCn4ODk0Mmtj08GiRkyCpYtDYVFEoKqJFXwUIBLEqehW5wmEmCVlIY3qxO9YeFixZR8tB2rGRXElyTFhc31YuuBwuWyaZMSzGK+/BCbvFTJJwcZCmv1VsNAaz26dZwi4QmO2KwSwuLvL6669Tq9X44he/SK1Wu+txF5KQ23E4GDC2jCttznRXxlegmBLZS++8wGbjiFyvtHhm0oimXaNpV7gZFkIxl0R4Y4LiySo3ooC9qyyUG6FPMJZUZgBlxMgNFinB1TDgSG3Z+km0omFXOFxtc9kPMUA3zaiMWW2LacoBr8klPyQ3hl4UYQ/eczHLOFqvs8fzMMbmnaU+R2qFAF2PYvbrwvqcT1IOVisDF5vD440mccVBPtYgCxVWw0HbEhPmqKbECxXuXg9HGUzbJtcGmWuySKGBP7y2xLfeuLrm77NVDMcVD1umvPjii7RaLWZmZnjjjTd48803uXbtGsaYDcVutputEBhNhDZ9MhOhjcRXKRkRqekh8ZA4xKaHS4PI9PBEnUD3sXBYGrRWqsrmqH+YNh75IJU4zG2WBiLRkA1mxsZdSFknE4LQLjZHUW5jxraAXmbz0djN4QiLi35xjE4W01nDI7Fp38kG62DKGMwm8CAusq0UGGMMly9f5oc//CFPPfUUn/nMZ7As656tYm4OdkZL6UproG7ViJRmwlm58DftKhf8YOTCGhKqjF5254WntI0tVgb3M6+KMAJXWlzyixurm6qit9OAaa9OvKoLwGwScajW4lC1xc2ouIlm4hh77KNFKqc/9lm6Wca+yvLFPeVV6Y8FlgIhODK2u4qVpiI95pKM3Bj6maLlFMI5azs83awXFpKQHG+0eHsx5J1On4PD+R97PeRCglW1cGyJjjWqIZFBTta00N0UU5VkuaFSt4m1JssU/+nCIt98/cod3992MJxIePz4cV588UW+/OUv8/jjj6OUQmvNn/zJn3Dq1Clu3LhBGIb3f8NHgNZ60wXGyFkybTDGGVnmNjVs6uRGo/I6ad5kJjb4aYP5SCJUG6kbKBSeqDI/cI01rRaLWfHdte0GM3lM1xI4TDCXpAxjKRN2k5tR4WKbSxNqYorOWJfyKjZXU8XtLEUOLHiT2oRj68rFYGlTv4dxNuoiKwVmG9hKgcmyjHfeeYerV6/y8ssvc/To0dENd69mlzcGle7XgpCGvZygkJvi67wRJCsWfld6JFrRdFZaPFNunRthjLXqZ5iJAmb6K3dU3SxhT6XFpNMg1cVN0kkT9leW33Mp1VwLAw5WV8Zn5uOU2Xg5jhXkOVU9DIQKolxyI4ppO8vpuZd8n8dqDR6rNXlvyedKELBnLBZ2yfc50WjyWK3OJT/hQj8YWS7dLKPlOKNRZ5FSPNFo8nanEJbPTBTiNGtp0puDjLtpFxYTdMWCVKNyU4wI6WW4VZusk+BVJUmmabkC40kUmv/P+UX+x+9dWf0TbTu2bbNv3z6OHz+OZVmjlPa5uTnefPNN3njjDc6dOzdq2rkT2GwLxqDIKOpLwlwhcYraFQ3zSY6fOtzOusRK4KsYpWzm0pBuJvmg3ydIa4NmlAJPetweZGNWpMutaDl2Mhsb3EGNmCcdroXjcReHS/7K2rBYuxhRjGmuuk08Y3MlWfmcc51Z0nRrBpFttNDy4+Ai21GtYtbCtu0tCfL3+31+9KMfUavVOHny5B21D/cStpvheNaJBwxcWVFx0S5lGUfqzdFObNjc8kYY0HbkyOQHGz+POdhsMpcsBxrrxmI2zIrhMGPMxDHCrLxQbwQhDcem7VQ4PWg1OxsX3Y/TwXFaToV+boBlP9uChEOWR9Wr8N5S8XmmLY9umo6SbGJl6CTL3/28bXOoWh3d7Lk2dFMzEryh5dLLcm6EEc80GywsdrioBFVLsddzmEsyznR9nm3V+LAXUjlSI74V4uyvkiYK63qArjrkiyn2hIeuSOzUIFoexs+QFRsTaSoCEiFQFvzuhUW0Mfz3X358zd9ruxk2hBw2hczzfNTGZvUIggdpd79VbLbA5PIWuc6Ic4MSOQLoJcVcF20Eoe5Tl00WM5+m1WQ28anKCrMDV5cxLqd7fQ5WmmgEatg3TNujjsheIrhBSEVKDtUdjPZI9LKFKHC5EUd8ZqJBJ/OZclqc7i6XDXwU57RsrxjBPMbVfsIff+97TDSbozEE7Xb7odO4tdYYYz6xFswjF5gHdZFt5s1w69YtPvjgg3vOl7mbBZMqxexYncvFvs+RmoUUkqtJzHB1nosVQha+3qt+sSDHSnG01hpNwLwRJoP/j6jby8ITJoq+JXmyUmcmHsvptz0ybcHY4LJEKw45Tfr58rn284wnG0VPsbrtcLYfkGrDk80mN1YFPm/7yzfnzSjk6WaTS34fR0o6iSJLUoreHgJNkbpcsywmXY8PexF126ZhW/i5optlHK1VCbIcx5IEuSHRkAvo5zn7PJembdHPFVeCiMdqHtd7MTrTZDcjrP1VdKxwlUG0Kli9jLRqkzsGJ1FkDQfRy0jrDnmQ41qCfpRTtS1+9+Iifqz4F3/xyQe7CLaQ1deTbdvs2bOHPXv2YIwhDEMWFxdZWFjg4sWLuK47EpvJyclta9K56QKjF0mUKJxTukqQaxCCXt7DFXUs4dDNQjzhsZAESASpLvrqTdrDQl9BkltcD2OO1qtYwuHq4JqtYjNrFAiItUarFrfGNmZ73SYf9ot7cyHW1B2H872V7klPVgjUyg3rfq/FO1HI4c+9wFSSsri4yAcffIBSasXcm2q1uu7va+hm30gl/91qA3cTj1xg7sfwh9lIoGw14ynIw2aa9zruWjGYm1F/RXf+VBsadhOEZnwE8kwc83y7gRASzbIg3QhDmrak7Vb5cBATiVTOAbdGR/lYBuaFBcYwH2dIlschJ0pwOfA5UPHoZsvWSJgrYrXywr/k9zlUreJKh+u62CHeCmNqlk04uMGiXDDpVvHzZdG56Pvs8yrYRnI2KATzmWaTi4Mq/qUs49lmiw+7hWilacaxepUwj9DA9TDi0+0W14KUD/shQjo8Wa9yIYiYTVKO1avEgUKbYpTyQp6QHK6jM43opsi2i0k09FJUy0UuJOiWi6wI7Eih2g7ZYorddom6Ka2aQz8zuNrw3etdOr93mt/8yed2bP2AEIJ6vU69Xufo0aMopUbWzYULF4jjmImJiVFnga2s5t5MgcnMLCkJmbFRxsbPUhKToIykLtt0VQ+HOpqc3EgUprBiUp+aVRkUJwumnAZXwkJoFmIXzyo2TpaQBCnowflOOBXe7/o83Wown/q0bI/z/vJ9ditOeNJqkpnla7thu3zYj3m6WWXodahbDmcGlv/FKOT5Q0c4cODAaODXwsICc3NznD9/Hs/zRr/Lg24EhpvU9VpCvu/zxBNPrOs1O5EdLzDDHzHP84cSmCiKeOeddzDG8Oqrr943x/xultPNsHfHc2+ECfvW6BkU5AJHrryBI5VzpNZCrhoicy0IaDuGll3ho8E45KUs5elmi4/iLg3b4ZLvoxFI4TDu7lLaIsrVCjHSgBQ253rLmTahytlfaRCqPlNacCnPIfV5utnkykBAlCkW63NBNCpsO9f3eaJR52oY0LBtLvkxj9UbnBm0orkaRDzXanC277Ov4nG2F3GoVuFWnGCE4FoUc7RW4XoYczWI+NxEm4u9iLcXfVqeJF8IsdseomWTLMbYUxVELtH9FDHtkV3zEVWH2M+oVx0ybUhvRzSbLoGfUnMkiW2DMrw9G/J3/t/v89t/5Xmch9yQbIT11sGsbnc/bt1s9QiCTRUYbhLnLqmGUEXkGFxRIzOKQEfU5SSxyqnLSfp5QMtqMpP2sbCI8+K6a1gVbkQhIKhZDjNxRqoVTzZrYCyu6kJAXGmxlBpyA9eDjAnPpp/LFQXOhypNFlcl4WTaIdEx18OE6uhrrJDoQmDO+ctiNO7mPHbs2IqNwMWLF4miiFarNbJuWq3Wmt+lUgohxIYKLUsX2SZwvwt8ONL1YQKj8/PznDp1iv379/Pcc889kFANL4jVN+HMmHtsyGKaUpF3CszVIGSvd6eQ3Yoi7FWTLJUUOMqmt1p4wpCGbdFyamiGvcUCnmo0+SjuM+F4nPd9DIJnWk2ujwlgpgVH6y0uB8uPXQ58nmm2uLC0fDNdC0ImHJelLKUqBOf8hEPVKtcHlesGuB0lTDkulnD4KIpYTPs82ahzcbBrPNPz+exEmw+6Ab1csdT1ebpV51yvsHS6Wc5+z6XteHx/rsenJhrMxBk9pbGkRPVTrKaL3XDIOwkuAr+T4sQG60CdZC7G2lclUoZqbhFOSEyQQ9tFRBqTK8gMSgreXYj43/+H9/i//G+eZaq+KpC1w6nVatRqtW0ZQbBZApOaRVJiMtMg1TmW8BAGYiWZizVCVJhNekw5DW7GS7TsKkGest9r40rBzbiHIyz83BTzhYREaZtwMFainzrkZnlDVZEVZuNCFPp5zsHKSlfZHrfKB90AAzxed4qBeV6TU93Cw7CUKQ7XqjjC4p2l5QSBm1HRsLW+hojfb+4NMBKbqampUcPejQ4b+7jUwTxygbkfQogNZ5IZY7h06RKXLl3iueeeGw2qehCGF8XqDJCF5M7zqFo2c8mdO9dJt0Ks7ry4PGkNOi6vzGTpGUjzlW65WCmOVJtcC1YGJWeTFFsIqraHGbzPpb7PnopLN0uZdD3O9nykkByoVJgfy/NXRqKNWA7ma82UdMGAlRkSIbkcJzzbanChX1hAgVIcazQ4tVgIk6Fwh+2veMzECXs9jzPdiGnPpZdHGOCKHzKlcxaljUTQsFyu+sXf3l/y+cxEnfeWAmTLRS1E5H6KFxmS3JB7FvbRBirIEP0Me28Fu5cSezapB5UgJ246iLmIZMLDWsrIPAtyQ9USXPUTfvY/vMe3fvJZnj2wOTM1HpTNsgqGIwimpopmjHEcj5p0Xr16FcuyVlg39yoMXovNEpiIy8S5Q6RytNGkyuF65FOVdXIDfhbTsqvcjgMq0qWfaUKVU7cEV8I+j9eaOFJwfdA8tmXXuRYWG5e9bo1z/ZAJ16EiBVUluZYui8KhSoMfdPocqRVCUpEWtyONHlzcDbuKIyXvr4rFCONwKVhZrWyA836fFyYmuR8r594Yer0ei4uLfPTRR5w9e5ZarcbU1BSe520oUWDYKma3s+PTlGFj7WLSNOXtt9/mxo0bvPLKK+sSl+ExgRXCtpgknFrqM7Gq/X3bqXItjNlfWWnSVi2XC/6dVoxtLC72/DusmAoSW9+5SETaYK0q3uxmKQeqbc71ly2qzBhsUby+Il00gtwYciMGTWmg7TicWurjIlf0IbsVxRwwkltjl8TFfsD+wU7siUaDN+f7PN5Y/oyx1mTGcLDq0ctgMcu5HWXsrxQZeak2hELyZLVCnMMH3YCGY1O3imO83w34dLv4bvIgJ5lLiD0La7qCdgVqMUbWHayajerE5C0XGWYYZcirFvZ8RKXmoG6HuJ7ES3KkJcilAEvS1fC13z3Nfz07d8d3uhvZ7BEEmyEwoZrDiJheBsZY3AxyZpKElt2kr2KywbXby3IQEmFsQpWx32uOYi1hLjndjdnrNtjvtUbi0rY9bkUpGlhMM+zM5YZa3oDt9aqc6YfkRlC1iuvUlVW6Y2vF1TChn610nwF0M4tevnKzOOm4vNNZf82SEIJ2u83jjz/OSy+9xJe+9KVRTdTVq1dJ05Qf/ehHXLt27YFHe39cssgeucA8yAW+Xgum2+3yxhtvAHDy5ElardZ9XrH2ea12zV0Nit28JVa6w7QpFv/VY5L7g6Ku4VCkIbe6AZkQTFVXnldXwc08Z6+38sJKFehVjSkBEgVNe2V69fUw5InGBGfHYi+345hj9WIX37ArZBpmtOGQvSxmHoKbODxWXxbDbNDm5WClwvleYQGd6QU8MzZlL8hzapbHUlpYUYFSpBrag0LLhjbMJ3pUFXQzTNhb8fAGsanrYcIztot1oIF7pImlNCpIwbVw2y5qIUa7Elm1Sa/2cBVYQY5JDelkhcRPkQfqRFFOVHVwtSHUBscYwjCjp+Eb//NFfuuPtr61DGxfL7LhCIITJ07w8ssvc/LkSQ4dOkQQBLzzzjt873vf44MPPuD27dt3re/YDIEJzBVSLYmVy0dRhmN5eNJjNu1RFRVClWGMTaRzmlaNxSxm2q1xLSxGIx/0mlwKAhKtWUolvYEnoCILl1k8SLTZ41Y4GysmzOC6sh1uRvlIOD7sBRz22lwOVvYaq4rKIGa5zGPVBj9YDNnjLt/HEuhlNqeWfB4Wx3HYt28fzz77LM888wy1Wo09e/bQ6XT4wQ9+MBp+d7ffZphgsFnTLB8lO95FButrF3Pjxg3OnDnDE088wRNPPPFQN9DqTLKhwHzYCzhWdwgHjfQWB4vr5SDi0+0ac0mIJcSoAOySH/Jcq8ZsEuJow/xguNeFvs+hajH3vuW4XBq434LcFGIioGbZXPBDlIFnW8tpxhK4HMTUbAdMMt4gliArMmZ6+bIL7mzf57lWi7cXl8fGXklzplD4lsWhepN3l3xyU1g53UFDzE6aMV1vEebL9TFnuj6PN2tcD0Km3So/6vg8367zYW+QIppkHK1VOFCp8P6ij0oyDlY9mrYZpSg/2awhteG6n/BBlqBv9JFHmqiGC4sRyiRYDY9K1cK/0EUeqCMP1FH9jLxdwUoVMsgxe2s0uin+pEc90fgC6ragi6HZcOjnBtsY/uN7tzl9q8dv/vRnsK1Hvq/adIYjCA4dOoTWmn6/z8LCAtevX+f06dM0m82RK63VaiGlfGiBWcquI6yYTlwnyMGVLqFO0RomrUlibWjINjmaA26Fm7FP264wm8Ro4KDX4II/EJpKEc/TCJ5rNomUYi4rNjVtx2E2UWQIrqSG4w2PIBf4+fLifKTaYHZVt5fHqg1+2Il4prnscdjrevyoU9yXVctlmCxzsNLk+wvF470sH3WieFi01jiOw9GjRzl69Chaa7rdLgsLC1y7dm3024zX3gghShfZdvIgFoxSivfee49z587x4osvcuLEiYfena0+7lBgcgPNQYdjR0huRsu+3GHMZdqtjQoQAeYHFsCeanPUIyk3Bndg2rec5Y4At+OYw4Mux3u82miXdj1MRpMnD9caLKZFQeOxxrIl1LId3l/yqVreCotHG0OcS5yxdjUa0E6Fo7XaqNiyqHNxRi61JxpNftDp81y7ueJ1t6OUZ5otPhykeJ7uBnyqvXxDuEISZobhhv6jKGHCc6gOFndPyGIs8sBNYR9tkl0tArX2VBXtp5hrXWJL4jzWoJoqhGORtT24HaBcC6tuQScmaruwEJMpTSVRRL2YloYkV3haE3o2sRG8Mxfyv/u3P+Dy3J2JGpvJo06RftARBP1+f8MWl9aagJvkWrAQSzKlSXLBR4HBzxze7fZYSuGDfh8/k/yw4xPlDmHuMGHX2O8OE0QE+7wql4MQjcASgvkUhnvfmmUTZkWTVIAcgTBVbo9Niz1QqfBBN+Z0f3lm0aFKlbcH7q7z/Yi6ZeNJyUxc3L8Ac4PuFvu9Km8tLLvGzvQ27/pYHeQfWp5PPvkkL7/88ui3SZKEDz74gJ/7uZ/jL//lvzxK7nhYfuu3fovjx49TqVR45ZVXeOuttx7odf/xP/5HhBD81E/91EMdf9cIzL1iMGEY8uabb+L7PidPnhxlejws48WWxpiRbxjgXC/EEZJJt8aYjnDBL3b1lli5A5pDsN+rE+mVi8/Fvs+kW2U+Wfn5rocxrpDMjrW0CPKc6UGDy2Ds6ef7Ia1Bm5cpr0pu4EoQ8sSY8Byu1ni70+dQZWU8qJPl2HgrGgNeCyNONJscqFR4t1OI6nvdPk81l113h6oVLvspDXv55nlvyee5VoNjtSoXehHneiH70aNBZ9eDmENVj+cbdd6Z73OuFzGNGpnR3vE26ZUu1mwIjQpZywM/AUuSNh3chRBhCeShOvpGH72UIFOFOxtiJitkuUF7NmKyRq4NacXBdSyyXONZkihV3Agz/vb/4xT/6a3rfFK42wiCfr/P7du37zuCYC1msrNok+HnFpl2uBHl3IwzanaFa2GfA16L65HP4UqTS4FPy3bxM7gcRnQzyUwEk06VPW6Fm1FCborFaNqpcTmIeL8XcrTaROCwkC3fAxPYvNkJODro+D3puFwNFJkpGrs27QoTjsP5fj66pjWCabdC06oxl6yMz0w6LtcCgx67/k/3Ht5NNuR+9XvD32bYQPXrX/86L730Enme81M/9VOcOHGCX/iFX3hgYRjnd37nd/j617/ON77xDd5++20++9nP8hM/8RPMzs7e83VXrlzhH/2jf8SXv/zldR9zNY9cYB5kt3cvF9ns7Cyvv/46ExMTvPLKK6P0wM1g3EU2E8fEY+cQKs2eShMp7jSlFQ4LyZ2C6OdiNEtliAEwDjfCeNVzc/ZXW9yKVma6nOv3OV5vcXGsAj/VGle6VC2Lc73l9z/fD5ke+JnTQSHmWT/kwFhWy4lGg7cWezy1yt97tudTk+5otwdw0Q85VK2w13M5142YiVMmHWfUrh8Kl5qNHFlvt7B4qlFYU64QaAXdOMUemFe3jcUBVyKNRgcJ0rXQuUZ4FlbDw2q4ZDN9kAK1t4Y708eZTzCtClmkUFMV4j1VmlGGqDsoG6xeQtJ0aSQ5fVcyaQs6jsSrueSOTWjgX//pVf7Rf3wXpR5sQX1Qdvo8mPERBPv37+fQoUPrHkHQSzpEZhEpBbcjyc0oxhIOnrS5EfocrLS4GvXHxMUjyA19lXO4UgjI9TihnwmMcUl0MbV0n1fn0sCt7EnJtUAjxyzuSS24lBa/1/Uwo2U7LGUCfyzz8nKQkOYO4arfNc4tPuitvPeKcQBVZlfdq6c32YJ50CwyIQRf+MIX+If/8B8CcOHCBf71v/7XuK7LzZs3133sb37zm/z8z/88X/3qV3n++ef59re/Ta1W4zvf+c49z/fnfu7n+Bf/4l9sSqHnIxeYB2EtF5kxhvPnz3Pq1Cmef/55nn/++U0f/zp+3KF7bJyrQUo3vVNIrgURvejOm1Mj2efd6VfVSA5X73w8yGGPt1IwDZBrC7nqp7sShByutonGbqxUa4yxeKxW44I/1ixQC5pCYAPXgsLVcKYbcKS27KY70WhwainkSLUy9n6GSGkcYRMO/HZXgphj9RrCQMu28BPF+V7Aiebye531Ez472eCA53GuG3IlTDno2VQGgf4bqeYzEw0iP4G9dbK9dfKbPUxezIlxpmskVztwu0c0USNKEmTFwjrUwE00xk8Jmi61JCu+lQkPbvTJc02jnxL6KdUgRRiNClOMLQmM4M+udfnf/vZbvHu1c8d3/0nAGINt22uOILh9+/ZoBMH58+dZXFxEa43Wmo/y8xgMsYLboY0rXSxhkSvJwcoksTIcrbSZi9MV4nKkUufiIJ54qFLlRpzzo27Ifq/JAa/OhWAYG7HwhMuVMOGSn9G0bY5WG1zKlzcyoTLUZX2F5e9JidQujly56XuiVuNPbvvs81YmxDxZqzMb3LkhiHJFf437eiNspA5m2H17//79/KW/9Jf4zd/8Tf7KX/kr63qPNE354Q9/yFe+8pXRY1JKvvKVr4wSoNbi137t19i3bx9/62/9rXUd727siiD/aoFJ05RTp04RxzFf/OIXtyzbQko5smDWEphOmtOwKsBKMalkmlAJcFZdvMbiZpRhIVBjAZKFJGcp09hGkA/8SQK47MdF0dcg4A9gC8H7SxHHG00ujRVQWkJwoR8z5bosjmWm3IxiHktWXuCR0jRtyX5h+HBwI+XGMB/nNGwbV0re64Sk2tBJFW3HppsVz9vjecyFOVUpiAZWyoe9gB+bqLOUKC4PGmHeDGKO1StcDWIcYCHKsbLl87qeKI7XK9yOEh6vV/jRYohnW6T9CLtZxTnSxloMyeou2W0fMVVHdSOEYyEOtrD9hBxB1nCx4pzsVh8qDnk/pVL1yI80yRYisroDUmDHiq5l0RaCnjY0HYs8NcxHOX////k+f/m5vfyjv/zMpsRPHnUM5kFZHeQfjiAYjiHI83zUVeDMmf8/e38aI2ua5XWCv3df7DUzN9/363ff93sjMiIziyoogbpbIAahKZgeYEqjgoEu9bTyC2I+VDHqAQpU02KaZmC6gAYkGBhpJLoGNVVFJZVZmRmREXff3f26+/V9td3efZ0PZm5u5jdyicjIqsjqOlJIcc3N3vV5nv9zzvmf/3lFFEWYpxSMUkwmCggoZJmBG2eseS6TusVSs8WsYbFo24xoOlGSMawpDGkCr5otMgRmDJPXtk+cgSqK1EMAAUUQUEQREYUNrz1W7DjldC7P08ZRYXBOkhAzhYdVl6Iu4iUpsiBQkDQWmwGtSEbosPBnDJ1HZQ8QKMgq+53czZxp8N1dB1MWUfSjdKUuitRaGfMNl7sjn559etw+q1S/pmk/kmpDuVwmSRLGxsb6Ph8bG2N+fv4Tf/Ptb3+bf/pP/ymPHz/+zOc9br/vHswPS1M+zMHU63U++OADZFnmvffe+7FS+XqBrfIJ/dhHNJ01J3rrIYqCxGYiMmn05zu2vJBKEDLRQ0/Oywqrjk8tjCj1UI4nDZNqGLPh+n1J/BkzRytOeNlwGNeOvIQTuRw7fogoSN0EPcAQ8CJImTkWOnTSDPfYJq0exeRlFUOQCbotAWIMUUERBOZyBo/LLTZcnwnDoHfaRDFYPRPJS1LKfshwljKuyCw3PRa9hIsFozubVx2fy0WLlVZAkkFWzEGaEnbyPoEMQrmFPJRDNFWyiSLZTp0sTogtjVTMCN4coIUJ4mgO140QRnL4pkTe9mFQRxAEskaAm1PIxzENRcIUBVylXSvjahJeJvDvXx7wv/sfPmJp520poE9jX/QQWa/9oH4why0ILl68yPvvv8/c9VOIhfaGK4wylisJB7bHqusyquZYdhymDYtF22HayLHvR+wGEW4i8nHFYdrIc9K0mG95baKMLGOKKku2z5IdMKLmkFDY6oCLCMyZOb594HCmUxNiigJiprDhhrhJxpRuIgkwohgsNttz9CCIOWGajGkqC7WwG+bd7Hjro5rK84Og04E2Y6rHSx8SVbadkJefoR7mk+yzdrP8cWrQfZK1Wi3+wl/4C/zar/0aw8PDn9txf98B5oexQ8n+9fV17t27x9zcHDdu3Pixq84eAkySZryx33aZ9Y5e0ozZD3KO1AaKRng0QAZVjX2/naxcaLnkpPa1D2tGNxm57EWYncnQm9tZbByxYw5bXSRZhpuA1PltqxObXnd9TuWPwm1xJpAhsBemfdTLQUlmKRI4l+8PzUmCiHAsr7Tu+szlclTcuJsMXWq5nCu0f3shn+Np1eZJ1ebqwNGzsDssrpp7BM4vGh6XSzmELONi3uTDvSZ5WWJYa9+fUrKQNAW2KySCSDJeAiFD6lRii5MDpHWXYKNK5kTI04M4DZtMFBCn8uScEKIUp6gj1lxkPyKvybDZIkxAixPSOCWJUxQgChJkAZwwYdOJ+IV/8YS/++9e/kQBxWe1T0NTdkKPPWEHSRRJBQlLFzjwTcppghG1CTD5BJZshxnNYNl2iTOYNXK8aLikmYifiDxrhMwYJsOqSpiIXTCZ1DUWmxES7XGgigITusmzjpTL87rHIBlpLLHhHnnCL+oeM5rFy0Z/FCFKBPbsFK+nwnLHjThhGpRb9H1udpiZZ80cTw8656t9PnmYNE0/k9Dlj1pkOTw8jCRJ7O3t9X2+t7fH+Pj4W99fXl5mdXWVP/kn/ySyLCPLMv/yX/5Lfv3Xfx1ZllleXv5M1/GFAJgfRo+sVquxvLzM7du3mZub+z1B90MW2YbrMd/0mDL6X3rQ2Rot1hyEzoKUk+SuDP+q4zNrthfhgnJU1OUnaZfm3IyOciYJkMQCsiDwunW0g/LTFF3SKalq3+c7XsBcLs+EobPSIyXzvG5TSBKGJJGNTty6GcVYclsjqqQqvPbagLnYbCfuoR1+2/cintVsLhf6gSdLYczo94Je1G1uDeR5XT+6pieVFlc6dOXzps5KLOFlItO5o/t/VrW5M1TkWaU9ibfdkCRNGdPawObt1IgGCkTltjeR6SqxqeKv70HQ7kooFkwUSUSQRMSpQdS6TeqF+AUN3fVJVmpg6QSqRMsLYDpPIoGYgWepFEWRhiZhaBKOKqEYCr4s4mcZ/8t8mf/t/+ND7i+V+YNsPyzAJEnCY/slohgTk6FIIq1IxU4NdMEiVC1UwcRDZSgS2G86aBmYqcBCy0MXRSZ0g6cNl1ac4kQCuqBR7YRnT+VM1uyQWpjwrO5x3rIoSDrzzaMxXVQUAhd2w6P5oooCo7LGsd5hDGsKy+WAvuIw2uEvQpk9v/8HFTfmhKHz0dZRGPxV3SH9HDYZnzUH86N6MKqqcvv2bb7+9a93P0vTlK9//eu89957b33/woULPHv2jMePH3f/+1N/6k/xMz/zMzx+/JiZmZnPdB1fCID5fuY4Dmtra8RxzPvvv9/VZfq9sEMW2SFjqxr2v/CtDpDUU6HrxQxpeh/ld8tNEAWhD0gAXjbsTnFZP7NlNxOYyw20e2n02OuWw5CS6zs2tMHElPqTlykQyhrWMYmaFdvjXKHAoKoTd2RqwjTDjlIsWeJsPsdep2na87rNGav9+xlD51nV5kn1qBslgARs2iFnC/3neVa1uWZq3d2nm0HNj5k12yBzuWjxnd0G5wbMbkV/NYhxooRoaQd9bhxBU9BmRvBWdgAQFRkQsdcOSAZziDmNyNKJNypkWUY8mCc5aOIv7+MPWIgnBpBbHoIswWges+WRKSKhJSPt2TRaAfkgRghj1DAlixKEOCVOM4IoZcuJ+Nq/ecHX/qdHNJxPZlN9L/tJzcF8L/ug9pJECMkysTP+Et60JNa9iDAT2PNiqlFKJKi8jEVSLY+faMiZSClNiYOYJcdHAM4YOq8aPg+qLqfMHOesHE9rLkFnuE8aKvOVfnA4mdM5aMUsBSJzetvDyUkig6LCq5rHy6rbra8a0xSarZgDL2a8R+FcEwUGBIWV+tuhbidK2axGfUIZTpyyZn+69/5J9vvZLvlrX/sav/Zrv8a/+Bf/glevXvFX/+pfxXEcfv7nfx6Av/gX/yJ/42/8DaAtQ3TlypW+/wYGBsjn81y5cuWthow/rH2hAeaQyVIoFMjlcmifIIn/47TDENlyR+9rsekz0cmr5ESJcnhEPHjjRMiCQHas4+SuH3LCzLNifwI9GfUtjSSARpR1J8yhCcBKKyQv9w9WU5ZYa0ZdRtahiZKEd2xnB7DjhbjHwK4cRIzrBgs9nkiawYbtM6WrhHHK4S+eVltcLLQH/4WCxbrt87hic7V0BDwlSeBJ1eeCdeTx2HFCOYi4O5jnSaWjiFB3mcxp5GURCZjKGQgzo3irbbdeEASMUxN4b3bJNssokyMYp6ZQHY/Y9kAUUGaHUA4aBOsVpJlhlLkRlHKDLEmJhi30JEJsefhhClWbZLNOMpFHLulEokBrwCCTBVxDIZBEBF0h1mUiSSSTBe5tNflz//1H/L/+w8IPre/1k2I/DMB8+2ARN22RZhkJCZqUkGQiLxswomm8cTwGVBU/bodSz1ntFtp7UQqKSSXVGMnlMEWBUgpPG+3chylA1Q5peimHYHI+b7LZCDnwY7ab7bF+wTKZL3vdDVfZTRjWFJREYqWTc/GSjJOmzoSuUm7GVDuKGGudsJkqCgwJKos1n007ZFQ/ko4ZVGXqzYSS+rYG4OcRJvusOZjPo4r/537u5/jVX/1VfumXfokbN27w+PFjfuM3fqOb+F9fX2dnZ+dHPs/3sy8EwBwf5GmaMj8/z/Pnz7ly5UpXYuH32g5ZZMs9YSk7bD8yKejXECoHMdNmnl3/7VxNxc+QhbcfdTNMOXksfyNnGc9qDmPH9MhmcyZrTkBR7g9TTZsGW16IFfY/nyFV40XD5cKxHEtJUVhrBQwel0tJBU4cIyW4ScqgomJHR0CaAYsNh5sDeZ6Uj5g9Tyo2lwdy7bxGmBAg8KoZcEo9ercTksCD/Rbni0fkhDctnwFN4dJAjudVh0wUMebG8N7sQpoRuwGZpJAZBlFHbSAuWoiiQLB1gHxQIyzlUUcsjJaLIAokY0XUMCQ5aBDUXeIsQ5cyxLEC0kwJqdoijhP8oo7pBrhZhppl5MgQk7St6iwKtJyITBSohin/8uNt/uyvfofferT91nv8SbUfBDDf2V+hHFcRRREREVkQCWIFPxbwowJ7PpwyiwiZRElTGdMNnjbaXU7nDIMnNZdKmODEIoOiQbWj2TerKURhxpId8bzmMZWlzMkiTw6cbv2UHaXMqQYP952+TZguigxmCttu//xzgpRyM6LRs+nb92LOWgYjosZ87cgbGenQlfOKROjBvhsjfcJSuNn6ZA23T2OfpVHi59kL5hd/8RdZW1sjCAI++ugj3n333e7fvvGNb/DP//k//56//ef//J/z7/7dv/uRzv+FAJheC4KAe/fuUS6Xee+99xgfH//Mcv0/qkmSRBTHrDpHAPOy6ZNPUqzc2xTGdSemejwgDAiCxNQxpWVJEFhqeiw1fcyeAVjKUvwk41ndYbanKZrU4WzNN13O9OxuNjq7uPVUPGLaSBKvOruvFzWnW8sypCo8rzo4cUKWgtLZbY9qKs/KNk+rNld6ci9FReZZxUEXJcw+QMrYskNO9NS6ZLRDYyeElEoqdj9b8jMuFwxmVInXdkyQZizWXU7r7e8ItOseVpoBp3s0o4yT42TbZcKaizoxRFrIIRkawWanCjlKQJJx3I4Om64RFEyynQOEKEaOEjA04ihByun4g3kyL0C3XRjJo0uQrZVxwxjBVEj8iKap4MgCekGlrorkChqOIiKrMrEise/H/O3/3wL/h//+Q158n9qZPwghsm/ur7IZltuN8bIUWYpJsqwjEyTQiDKaYcrHVYcgEVioBTT9lGsFiySGhaaHIYmczxm8rLg8rbromcS1gsViI6TVmc6TukI1EPH9o/k9KEExE/jmZpOLxaM5MEPMUiXkVcXrhlYBLhVMHm+7TBj9EY6cLCJHIq+q/dGDmhdjSiJKJLLVAZE9px9MLhVy/Nbyj14f9WkKLQ/tD4qSMnzBAKZarfLBBx+g6zpf+tKXug/5kEX2e22SJLEfJX3FiwCiVqDxCXhnSjLT5tsDY9eNeVhxGNePJsCMaeAmbfHHIbVHwbin9fGul6CJIpoostA4ArmFhsegqjKpyOz1FIQtNn2GVZVZ0+iyZOIsox4kWLLEiKYSd0BlP0wYzDLIMgZkpfv5k0qL8/n29YxrGl6Ssum0+70cVuyfy+dZt312nIC5njDYrCzw0hO4OtD/DHb9mJJucPjIUgSWvJQTYswEMS+qLvUwZs0OuFpq/3aAhMLMOFMzIwx0AnSipqJNj+K8WgVNRRktocyMI7s+UbWjY6ZreHs1mp6PmNORZ4YR/IDkoE5m6ohpSrS+TwgIJ4bJdBXDDwmHLUQB5DCmlYHh+MRRjBolRFGCmGYESUqYwVLN57/6nx7xf/p/fpfFzQY/qfa9AOY3t1dYdffJyMgEAVkUcWOlk4NJqfg51ux2qGtCVXlSbXc6VTOJb221SCOB68UcQgJPq+1xe8rS8YKUx7s2M6aGKMCVYo61RsiOn7JoZ5y2dM7lVA6cjE2vPVoWDmwGJIFTusqCI5FkUA8SzuYNROBS3uTjLZs4zah7R5NyWFeQY4mPtuy3uspu2wFDgsKbnnzMejOkoLQ3cRcKJt9ebbHaDHCjH21j+/sZIvsi2BcGYFZXV3nw4AGnT5/m2rVrfRTk3y8PRhRFtuK3z7vQDAg/IXkiZCKPD5y+eG5Bkdlw2nUeSY9sv9xTRfKs5jBtmCiCwHbS29wsYtLIMZsz+2iVXpIS+zGe25+w9JMUMZPecu0rQcSEZvCi0l8supkI3Bwo8Lzn8wxYqrtcK+Z4Xj36fLnpcSJnMmNoPO18341Tdp2AQWKKksBuKJLSDpddGzgUAwUFkXsHLa6WrK4uGUC+MICVs7pPIkoznlYdzoghUSZTCxMOghhXlLg+3D7eSUVAPzuLmsRdUEnyOURDx361SmRZqBMjKOPDaPUGqeuTmjp5TSLbqeDIEsrsKJkmYzaaiJqEaxnolSbxTo3MUlFVEUFVcAoGngiJKmDrMqIq4WsyiSQSKBIvDjz+yj97yH/1jz9iabvDePsJzsFkWca/XV1g1a8giqCKGZLQbhseJClJljFmxHx9I+O8kaOARJLC5UKOAydioeExYaiYosS3NlqMqSojmsKFvMmriseuG9GKUoQELuRM7u/Z3fDXgCaTBbDRSujtdFxSZQpRyvNK/1hfrwec1HU+3u4Zo3WfE5bGiZxGrZmw2Qrx4owzhSNPe0CVMRMZIX176Zs0NU7nDT5eax8zzeBV9Uerh/n9TPJ/EewLATCvXr1idXWVu3fvMjs7+9au6hBgfq8nryiKrHlvx2HHdA0/fHvQHPgRQZqRl448ldEeqZfFht8Nb60f66ZX9tvFkNGxXM2zmkOSvP2aanGKZbxdZKpLEiXlbcZHlvKW3hhA1Uu4VOzfLQVpRstLu43DDm2+ZjMka335MDfJ8IV2Hxm7B4wfV2yul3KczedYa/ndz84PmCgCXC7leHhg87zuM1cwyCvtexwQUjYjBTOLMDueS5hmPD2w+fJ4ga0oA0EgNAzMoQHG0xjR80ndAOP8HEm9QVJrL/ZhqUjSaOIvb+BYOcSpYSRdxWrZkGW4hobaaBFvtplnwokRYjeEJMEt6ChpggakcYrs+IhpQhwnxHFMGCXEgJ9kPN93+YX/8T6/8A8+5NHKT45H0wswbhTxPy69YC9qPztZTMnICBKRhIyCCm6c8aahUfMEHpYdwlhgtx5RsWNOWQaXizk2GgELdQ9VFMgSgSzI2LHbc6ioSFwqmrzY93hV9hgzFATgailH1Y55sO9SkGQEQBHbnvByNeZxLWPWOhqL00rKftWn1XhbXWNIUnh9EFDv6TybdMoJxg2FyMtYqQdEn6BBp2QCz7e8Pv295+UfDWB+v3Mwv9/2hQCYmZkZ3n//fQYGBj7x75/UXfLHbVEUsbGxwcEneCqWLPOq5nGyZxAYksh6ZyF9VHaYNtq7pviYevJSM2TaNNg/RgbY9ULI3i4cLSgySzWPnNz/qk4VLJ5UXeZ69MMA3DDhScXmYo/ysSmJvKo6PCq3uNSTYxkSUl5UHZ5XHc7kj8J05ws5XtQc/ChlqMcbuzSQ54PdBheLFvSA/QnL5FXN44TVHwMPDvva9DzCFzWXK6U8680jgF1qeAhxzAkVBEmllcB2LKEqMjO6iJBlTIkxv7vVICcJnMq3F5soyygOFrgwOcjkZFtBWx4uIZcsgtUt/DdbyKPD6GdmSaoNpEaTTJJoaSpavUHOCwgGi8gnxkjDELPZIi0aiCLIlSZBzcEbMEnyGoal0jRUBF1G0mQiQyFJUxIxw48SAmC+4vN//fUV/vZvNvj1766/9S6/aHYIMPP1Bv/g9QtaaYAsishCShiLxAnImYgXZhSUmLl8wnJd5WTOIC/KPNy3SQFDlHi26+IFKSVN5moph5aK3N+1edMM8YKUO0MWtpfwaM8hAxpBwqAkc9JseyFeZ1Wfr3rcHc5TQOajLburVJ4lIJNxqWCwUAc7Fdn0RJRDCSUyTsrwjaUG8rEN6suyx7mCwV4tYqdTqfy66vctfmcLOus7Ht6x8oDnlc/OJEvTlCzLPpMH84chss/RCoXC9+VZH4bLfq8AxrbtriBckLw9OA7Dsrt20n2A47reJ/ltd/pzrdn9nkotiDGFt+nWsiDwpOwykPSTBKYNnbIfM0j/dRy4ESmwZ4cUOtTlSUNjsVN78rLqMN1Jep6yTNzOxHlRdZjLtUFJio/yNGuttpS+BJQ7DJ2y39ZNyysSliyy3JHPeFqxmZXa+ZtBVWah5mJHCTtOxOlC22Mb0RWW6h6PyjaXSznkzqMpqTILVQ8pE/qKL0NEMklj3DwaB7UwYcdP+PJEgfW4PQbKYcpqK+CMmnBWh4Way7OKSy2MuT3aDreNWxpz52cpzY5jee1rlodLpMUC3uIqUbVFMDyEVyqQuS6W3UI0NLwwRmg5OA2HeNBCmCyhhCE4Ho0kI5/GmElMKkGqikg5lUCSiHIqsQCuBKEosBeL/Op/eM2f/Nvf5Ff+P8+ptn70eoofh6Vpxr8v1/h/by4TkyAJCZIQIwKykKGICaO5CEPJWKlLHLgyj3cEFg48pg2Nm4M5Gm7Cgz0bERBSIADXT6kEMZokcH0oh+unfLjeYrxTBzWVUzmXN/hoy8EPMw5TJMO6zKWCyTeWm8THNnZCKjAaBdzbOVrwm1HGpcEcUzmVAjLPqylhCiNZ/5y7WNSJ3ZRGcAQedpgy1xmrFwcMXq7aLJV98kr/PHtR+ewezOF69VmS/H8IML+H9knti39cdlh7Mz4+TnFmjleO0KdVBEeMk/VWwOnOQJCF/oG53PS5WChQ/QTZ/h07YubYMecsAztKcQOBHmYv9Y6n89oOOd2hV86YOusd4KqFMQOSipBlDChH3kaYZjT8hAFF5k3jiEUTpRl7TsRZU2MjPrpmN06xO6rGOz0U0G0noCDJzJkGzZ6E50ogcLloMSDJXfDykpS1VsCFooEpyd3ahWdVhznLoCCLFGWFWhCz50Xs2wFTYoxIxpRpsNzweVp2uDFstXemGVwoWXxzq8nZAYMRo31/KQK6adJIBIal9jmCJOPBvs2tYZNBVWHbT3BFCceyOF3QmBAzTNdFPzuHMloi2d4js12kgoXrh8TlKlkWw0AeaXqUNMtQanXcSh1Jk5BNBTeIceR2zsYgw/MDNAnUNEVVZbIkA1UiygQ8Afa9gP/5+Q5/9v/+Hf6P/+A7/Pt761+YHM29gyr/JobF0EEgRRESxEzAjzJkMcGU215M1ZMZ0CAnQ81P8UKDUU3l2+stHu04XBvMcWMoRxoLfLztsNqMWKn5fGm4gJgIfLRlU/MTvDgjCFLuDlmsVAKeHrQX7vmKx42h9jEOGjEPdx3CJMPoyLcM6TKXCzovtmwOXOjN14sCCFHG+kHIRvNoYxZK7Q2UKsCJLOL+coPmJ4TT8rLE1QGTR8tNoo6r1BuKA9iyQ6qfVFD2Q9hhKPkPPZgvuAmC8GNP9GdZxuLiIs+ePePq1aucO3eOdT8hQyCLjka1KUls91AaX1cDNFGk9gn1L00fzGOhLVMSWa572F7a3dUDKB3vp47EiU4F/pCqsNwDDst2xKimYkn9obTFhsvlQp5X1f5JVPYjTujGW9fWCGPEWEQ/ttjZUUzZTbpsmkOLk4z9VoB67PthnCIL/Y0DgiRDQcI4tmtbbHicL+Zo9rDe/BQ2I5n3RovM9yRTHx3YTFk674zmeVJu39Ni3cONEq4PW9wcsXhSDdgJMsqJyI0hA02AMzrc23N4XnE5Z0kMaZ3umYqIK8ucPjHCVE5BEEXkqTEMRSRY2SCSVeSxYRgfJQ0CxL195HqDLG8hT43i+RFKGBIP5REUEaPexCk3SQoGXk4jU0RqXkBU0CHLkBUBTZaRdQ1BknCAV2WXv/3rC/yJ//br/Df/5CPuLRzw+2FPyjV++fFr/tXaOpncrg+SMxAzEUVKKKgiYSwSpTBupdT8hK2miC4JxInCvp2wWPO5MmQyaeh8a63FVj2ioMqcKmhcLZk0nYTfXq4zY+pIApwb0LlY0Hm96/Jkq9XdKFiKxK0hk+drLRpOQtDjtbyp+3x1LE+9HvK4k8ivRhLXhtpz41RBY0qS+OB1jbMD/Zu1N/WQ60MmpUzkda19zPVGitrDMBGA1A35aKnR1zBQ6wmviQLcyGnM7362BmSHFOVPS1v/Q4D5nO3TKip/3hZFEQ8ePGB3d7dbewOw2gGSZwcuJzq5jjFd65OUOPBjThg5Vj8hDGIHCbNaf45kJmcQZxlbbsCZjk6ZCLzpEet7WnWY1TXM0O87l5+kyKnIm8bbbnsQZ928T69ttAIuHEviTxgqDyouZpp0Y9jQzr0s1F3ystKX8xGimFUnYsRQu/Uwuiiw5YQ8qTicLx6FwCYMladlhydlhxtDR+c9VzD4YLuJGyZM9bQxuDqU4xubDS4Mmn3hiaIq86jscH346BhOnCICXpQxrHfCphk8rnjcHM2jGblumHLRTmiFCZe1kJWqSz2IeXrgsOdF3Bqz+NJEHnIm2qkZ1EGLYuCQVqptgkAhTzxUwitXUT0XaWyQWBaR6k38Sp3YUBFnR0BTEG2XZq2FZcmIYjt0FmQZriHTFARERSITJWRNI9NkHAS+u9niv/7Xj/nj/+3X+Wv/+AP+v995Q/wJbMXPy7Is439e2+NrH7/kH7xeoxzaKEKGlLUbfUlijCikxLFIECfk1YQ4FjlwFAZUAUlMceKUpbJKSRS5YGksVnxelF1GDYUhVQYvRs8EHu7YRElGXpUQkowbBYPFHYfnu+3QVt1LGJRE7g6bRHbE/bUmrSBhv+aRVyU0SeDOiEnOj3m0XOMYw5haK+JWyWB5o8Vapb35ino2LZIAd0ZMslbMRvVoTkUpXBhs5yUtWWAui/looY4p9m+a6k7bW5FFgUuaysPXNV7tfbY8zGepgYE/WCyyn4h+MPD9u1r+KNZqtXj48CGWZfHee++h9ISZ3vR4Ko7XHojaJ1Tk79oxliJT6xnoIvCm7uFEKZfHc91OlkJ2NGOelG1OljQUSWC+fOSpZMBWzaWovn0uTRKZ1Azq4TFvxY04cCPGLbVNGABO5g3myy7gc2s0z/N6+zcDssIqAbuJxJUBk9dNB00Sed3J36y2fM4UDeLUZ1iCFfew6Vo7x3LgB5wutFlgAM+rDhdKJhu2iyocdbN8uG9zYyTHRstn1w7JgGaUYAPXhk0aUcKLThL1VdVlxFAYNRR0WeLhvk1G25u5MpRjy/Y5WTC419lNmrLIzWGLx2WbG8MWH2y3q/wvlAy8OGXLDrgwlOPxvoMlC5zXUpa99oBvOR5LrYSrIznsMGG54SOXClyb0qg0PYKWS00QUKbG8Vs20v4BThChlQrIwyVCQGvZ2OUmejGHODOCAyiOh9tyyec0gihC1mSiKEHSJeoZFCSZMExQdYkkSWkK8OjA59HXV/j7v7PCmClzYSLPVy+O8VMXRzG0t+VLfliLk4Tf3Kjy4X6DNc8jFdJ2OE8UUIAkSzDVrK0k7QuoRkZBz4hjiT0bLCkipwqAiJhInByJ+NX/FLJvx5ws6lzOq0iCwHc2mux1Fnq1GfJT0wUafszLXZuHnU3T9ck8zysuF4ZMhCjl5VqDyxN5vB7JoijJuD2i8XTb5mFPgePt0SL39x0MWWBKCNnZjilN5/s2XvN7DrNjFrIAqR3wcLHCgKEgCfSpAAhxxumCRmPf4U0zRABOlQyeV46AaKXiYhUVxpOMpyv1zvE/uwfzacNjWZbhOM6PtQ3J76X9xADMjyNEtrOzw/Pnzzl58iSnT59+y5Na6fFKFqoed6dzuNHbMXRTklGQqHEEMFOmzkIHVBpOjCwIxFnGRs8xkywjCDMGcm+/Bk1WMGQNwn5vJY4znpVtbo1a3dauszmd151q5WLYrrp3kxStx0F9vN/iynCOfT/sY8Y8rzjcGskjCPBg/0j6ZanhMaNkeJ1mUIe23PS5PphjqdFfHT1fc3lvNN9VSO6e98DhS6N5nhwcHTsFXtc9LpZybPYkZA+8CEuW+lowH17j3ZF8H8PHjVMe7tt8eaLAVs9GYL7DuHtnPM98J0FrxxkLscC5AZ28mPK0ErbrdQ7a1/rOiEYiKDw8rMvQDAqKyLm8wloWcWCaqIJABmjNBs2DOtlgEeXkJAkgRhHB5j6pJKKNlLA1DSFJEZsusiTQsj2koklLkVFlgSTJEGWZLE5AbevRRWRsRSlbaw3+03oD8beWKOgKY0WN8YLBdEnnxJDBkKUxaCoYioQsCbhxRtWL2LZ9VhseW17AQZjQTGKQQZFAFDM0MUUTBYQsQSAjp2QkXkYkw4CekcRtoNGFlGEzQ0Wk3Ey4Np1yUBeoOSLncnkSx2F112aV9kboSyeKhGlGHCa83rX59ssDbs4WSTqbjFMlHSVJuTtg8NHaEYX7+XaL23MDlL2IIVnkxUaT3y27XJ4tUnePch6LuzZfmsjzcq3Ost9pX17x6KToACjpMqc1iW8uVrq/q3sRF2eLvOzkemRRQI0SNjebBD3jSD3mYeRVickg4tX+0TU826rjOA6maX6qcNdnARho05RN0/zBX/wJsC8EwPywIbLPC2DSNGVxcZHNzU2uX7/O6OjoW99xooTdY8m9SivB+YRrcKOUZwcOt6ZyLHV0y4o9vVc2WgHvThWoRhEr1f5Q2oYdMPoJDLpJy+DjnRa3x/K8bLZ3UHlF6uYqXlRcpgsaW17Q1+dl2w25WDJpJFEfkKTAYs3jxnCenVZ/rcZ81ebiwNsxX1kQ0HSDiuPRi6tumJKXJEQV6h3tp0FN5sGezYAmY8pSV5X5SinHt7abDEopo5rMfofJM5c3+O5ui9m8Rpql7LgReUWkGSS8rvmcHTCw4zYZ4NyAwf29drX2lSGTPTek7MfcGrH41lYTAbgxarHW9IiSjDFT5dtbzXa4Zcxiqe4xaqrs2CELYUJelbhWMliqOkzqIvcOfDICCgrM5hSCTCDJRO5XfBAUxvIKU6ZMq+GyYllohSIAgusR7h0gSQLq5AiZphEC1JvIYYSuazSjFHHYIhEFrCCkGaWYatuDSSUBVRCQRIhkCUEQUDufx1lKJcuo1DxetAKkHQFVltqJAUlAFDu5SUVEEECSAUlAlgUkqf1vUQApy9DEDCXLyOIMVQY1y0giEElJk3Z3VTEWULUMQ88IPYGx0QRNEKjZKbNDGb/+QODDxSo3pgqcKuokScpOzefjV2UujFtstAKCOEWXRQI/5qvjFgsHDm82W7zpjJtbcwM83G4xZCrMFTVquzayLPCoZ07sVV0MWSSvSczmVObXG/iGQqtHSma7EXB1rshSzePygMGLlRofH7gYptznFR1GYk8N6CQNn/svDjg/V2T+4GjTttXDEjs/aHCwXic3UQCO5v5WK+Zb371HwVAZGhpicHCQUqn0A/tRfZYaGOAPlAfzhcjB/DD2ecnFHPaqPtQ6+yRwAVhquBz3Vep+0if3cmjrnb4Ve42oK0vhhP1A9GinXdl83MYNlQ82m4wJ/Wcrd3Zxzw5spjv0zhOW0WW7BEmKHaQMqjKvjnkNr2oup0yT5FhSXhRgsewyYfZfx9liju/uNLkxeAQyIhnNVOFVzWXW1LvaT+cLBq9qLuutAAWR0U7CdlxXceOUbSfECRNOFXQGVInFavvaqolIM4KLJZNrQzmelNufr7cCqn7C1cEcE4bOXue+X9c9Gn7COyN5Npshcee+n1dcnCjlj0wWebjX9ooy4NG+jSgIXBvOdb3EIMm4v2dzsmBQUGRU8bA5W8KLssNMwUDRDc6W2rvFZgx+GLHaCPB9l0tFkYIqIIvQSuB1JFC0dG6OW5zLS4zpAsrcDOLsDJmuI7ZasL1DToLM0GnqGpmlIwUBgizRAFRVQCJFFFMSISNWBTxACGMQBRxNIpZFVElC0mXknIoqta8hSmKSLCLLEgRSJBlkIUUWUxQhRRYzpCxBFDKULEVKEpQsQ0kyBDFtf5alKCoQpug5gbwBQigwOpTRaMVAxlAhYWtfYKyU0WpJhJFAs6mghAmPXld4sVQjCVJ2GwFFXUbK4Nqwwc2RHLEd8Wq1wbdflpnpqYuaLGiIYcz74xbVPYeHi1XeHLj4XoLWyffJosB4TuPusEl5x+bB6ypOkPBkrcF04ShcmNckClk7JPdgoYIfpfhRysWR/rzFZtnl7rDJ6lKVjQ6o5I6JvO63QiYslTvDJkuvDqjbEcEnMD+Hz1zn/Pl2S+2lpSW+9a1v8ejRI9bW1rBt+xPZgZ8lBxNFEUEQ/IFJ8n8hPJgfxj4PD6bRaPDo0SOKxSI3b978vjuQ15+QSB81VOb3PExL7FJzxwyVNx0Ziy075L3pPK9aNm/q/Z5KmGb4fvZWXHhQFnkDVH3ImSJOkjKkSqx04tdhp6rekEQaXv/A33NDvjRW4ONmA3q8QFkQeLRrc61k8bR2FD8+kze5v9tiNGsnZithjCLAcq0d7rq32+K0FrOeKVwp5XnQWcAX6h7nBgz2/P4K6V03ZFCTuTOU47s9TJtGmODFPuf0jKc9r8yJU8puzLSl9oU43DhFREARwJJF7M6zFYC1ZsBkTqWpJOx0QmFnBgx+Z6POTF4jp0rMVz10SWBAlfnWVpOSJnN5WOfpvs3FoRxP9h3iLEMWBW6OWrhhTJDC054q7dm8ysmiwdMDhyCL2QwECFLO6AlBFCMLMuOGyK4XM2mpVBKRqqwzqgqMWTpOy6FsKDTz4ziSBEmCcFBGGhwgVSX8co2iLkMGma7R8kJkSUTJEiJdIpUV5DjBiFISVSaWQAhiVEMmEUDRJEJZRE7aIJGSkEYxqSIiiCKpKKFIGYgCstzu2KmbInKUkukg+ymSIaCrGaGTURqCoJqgFSR0JaNSFZibFFlai7lyQkRIYXUPNClmYQu2t+HSmIUgtHelnhPypbEcH63UedXJwUyUdIqGTNWJGMurJGHCH5kpsLjdYnerxS5QNGUGcwrVTjJ9v+Hz3plBnCBhaavJy6UqkigwMWyy3ZlDApATBYY0OFHM8epNjQ/3HM7OFmn2zIl6oz0PNUng6kiOxZUakdbvQWwdq2sZzimclgQ+eL7f853+8C/AQtnjzolJhobaBb2u61KtVqlUKrx58wZFURgcHOx6OIc548+iQwb8gfFg/lcDMFtbW7x8+ZJTp05x6tSpHxiWW/oEgFEFkaof895IgZet9kAY1hTecJRHeLhjc3PS4r7d6v+tKPDxdpNbk3me1Y8W492aDUg0Yrim6ix5LqOqzFZPPmfXDbk9kudRuf+Y0C60vDKQ51kPz//8gMmjXZuHey2ujOSYb7iIZKx3QGvfi5jKqeiknC3mebjfo+cUyNwds1g5lmNZrHu8N1bo6pAdWiOM2WnFnC8aLPT8ZlxKedQQuD2a40m1Xb1NBpYs8dGOzYWSQTmIqAYxZ4pGN/8xaipM5TUWqh5zBYNnHU9HkwRuj1rYYczLcvt46632c78+bKJKIh93QK4WxNzvxO7jFGQR4gTiNGOzFSAJAkVN4vpIjhdlB1kUKKgKv7PeQBLg0pCJKQsoosCHO537DTNEUs4ZMYFrM0BKpsj4iIiyxEosgW6iiAJnTZFy3cPLG1QPKqiagiGlhHmDVFZIohgjhmgwjy0IiLaHEEWEeZMsiCgmCYkoIBoiaRQhGwp+lpKLM2IJ5EwgzWltSnSUkKoi+CFhJmHKkKUipiaQeQmpnCI1QNIFcBN8X6CUB7uSUSoIhC6YloCSZewfCMwOKmyXM2YGUqpuxtyIwPOtjCcv60iSwNWTJR725FLunCmx3woZNBVkUSCJEvJpxvq2zX6HXnz1dIm9jrBkw425NpxjdkAni1JWtlp85+EuZ2cL2B2wSNKMAVViGzBViXMjJs2aixZGPN472rgdjwdsVD2+fLrEwkqNhy/aNPAs7vcs9uoB05MW282Am6MWr16VcY418as5IaNjFvv2UW5v/RgwmaaJaZpMT0+TJAmNRoNKpcLKygovXrygUCh0GxZ+mtbUrtvxtP6QRfb52Y+TppymKQsLC2xvb3Pjxg1GRkZ+qN8dfIIGmd3Zvd/bbHF2QmfbDciOScEESYYQvn0/J/IGTx2He1stzo0arDs+Ghl70dEO52nZ4ZyZUfPevs8khSsDVh84jRoqi1WPDLgzfgRcXqc3TJrBQsVjbkDHlCUe97BhtpyQcTFh75jSAEAYZUyZOhX/6PuaKPC87FJQFDQp6RaQXhm0uL9rIwntPMiTio1KRqXzDB7sO1waMtlyfc4W2gKH0E7GlzSZq4Mm23bU9er2O2y4n54p8mFHQPLwua41A0qaxJkBg5c9dTOC0JYluTlqsWUH7LsRl4dN7u3YxFlGQZW4OmJS8yOaYdsTOiwIn7JU5gp6VyA0yWC14TFXNJivOpwrGRQ1iVaQkJGx0O0rIjKpJKRCgu1l3BhSQZIpaDLPyw511QDV4PrMMGvNAL+ziIU7++SGB0hKBaQ0I9zZR5wYIlFkZMdHVgTcgoHshYQ1FyOnIUYxqqXgmQr5RkCUguTHiJZMGmRoqkiqauhJSmRJKDWPOK+hNGPknELiBySZiCYKyFKG74EhguuBJaSEmYilQKZlZElG3hRoOqBLItuVjNBRuH1SgwySIObLJwfYqXpUGwEPnuxz43SJp4uVrnrQibEchirhhe3wV+BGfOnkAL4fs1t2efrigDvnh7j/pt59h44dokgCUZJhaRJKlvGV2SL35ss86XiaJ4f7WXUvNhqMj+QI45RTJZ3lN3WCmk+1R+x1cauJbsj4PbmZubyGakc8etJubLe5/zYNeSKvsm+3mWa3R3M8f7oHf/zMW9+D9to0ODjI4OAgZ8+exfM8qtUqGxsbeJ7Hd77znT7vppepetwcx8EwjM+Uu/ki2hcCYKANMt+vyvmzAEwQBDx+/Jg4jnnvvfd+aGZGmmW8KftvhbO2OjvmOMuQOsWXx/tIABw4MVdLFs96wlOH9SNxmlGuuciqwFze4LHb7ymUA1Czt4X49uyQtabP1dEci832hJsyVTY7O8NHezYXR0ycOOkrWgySlH07YsZ6OxYsZxmBG6AJIkHnPhWhXZNT8WPujls87ngsF0s57u3aVP2YUVNhwlTb5+qEE5IMHuzZnNFiVFXlRfPoHl5WXC4NmtSPxbZrQcxMqjJtaTT8dq8YgNNFnW+uNxg0ZE4PqLyouO3wmSIy32HLXRk2qfsx4zm1S11+uNeWZv/qZIGVRtBtQdAME940fBRBYCKnUdRkXtc8CqqELIh8a7MNZNN5lZm8SpzAvQ4QLtY8ZgsafpziRjEn1IRiTidv6Lysuu0GV3FGIQjIiR5POxuGgiJyeSRHI0w4N6KgSQKqKHBgitTqDk6tRcN2KRRziI6DlKZEqkyYKeRaLpGlI04PkFVtRE0iaPmoYYQ/bCKXXRRVIZZB1ySCRoRhSaRphm6HSEUVxYkRh1Wo+pgTGlI1QBpREOsxWkkidRIUBeIYBC+hKWQUEgFXzkibEUOjMqmdoA8LfPPfNxD8HMu7Nn4nt3jjzCCrro0sCqzvOXzpzCB1L0KXJYQsY9RU2K56bJVdXjcDRks6bpRi+zEC8Oh1lZOTFm/220w7U5H48rjFTtljabPJs32X2dFcnyjlm3LE7ITFesVDEgXOj1kM5xQ+eHnAw622d7+82UQShS6LLYxTro7meLrVYrakU0SgstZgtSfRX22FTExa7DSONlsyMGgqjMYpjx7toikicZIiH2/U9wlmGAZTU1P4vk8URYyNjVGpVFhbW+t6N0NDQwwNDZHP5/s22LZtk8vlfmJ6Cv0g+4lK8n+aEFm9XueDDz5A0zTefffdT0X7W2/6vCp7bVHHjg1pCtWeivjnBy5XByw2W/0egAi8qXk82bEZ6WnNuu8csVL2AziXzyHy9i6lJIPn9SsATOY03jR80gyWqz7jejuHsd4zIZIsY7XmM6G/TSQoqjLr9ZBhvX/n1IpFtkKRSdNAl9oD+mLJotK5z3u7NjeGLPKKyKueEMG+G9HwEy4UzL5ulwCOoIGkk1P6h1aSZryp+dwaOXqmV4ZMHu073N9tMWQonCpoWIpII4iJs4x9N+LZgcPVIZOboxbLPXmt52WXIV0hSdtyIoc2aio83HPYboVcH84xV9ApaRKKILBlhzzas1motHNKV4dzNHtAz49S1psh9/ZsRk2FO+MWX5qwCOKUfTfCjjLWQwld1/hwt0UjTBg3Fb4yVeDSWIGJUp6zBZkpDYbEkI93m8xXXbZaHvUg5rt7NstBxujkELkTY5hnZsmGS+Q0EZuU0PWwAo8sS5DCiGTngHSigGeqSEmIJIPa8GDEwPN81CghHNHQScgkUMjIwoyoFiKpImIlRB9SCTY81FGVaCfAGFNw93zMEYnWQUhuWEKMYGhMpl6PKA1JSIJIzhLJkgxFFRFaKpEbcXbY5OK4xXReZWuzyY1Ji8wNqR84fPfBDkaS8ejlAQ9flbn34oCxvNZNtO3XfE4MmyiSwOyIydWZAmOazMUhA9GOWF6q8cGDXeoNn7QDDuv7Dtdmi933IwowXdC4NZknHya8ennAw2f7yD3VmE035uJkf/7CEASuD5lsLNZ4sVhlecvGUPvn3nihn7yjxCns2rzueFlBlLLxKZWVD3MwpVKJM2fO8M477/DlL3+ZyclJHMfh8ePHfPvb3+bFixfs7OxQqVQ+1yLLf/gP/yFzc3Pous67777Lxx9//D2/+2u/9mt89atfpVQqUSqV+Nmf/dnv+/0f1n5iAObT5GA2Nze5d+8ec3NzXL9+/QfSCY/bYifp/XTLQe+wu0aNtxfuZivGOCYFM2Pp2FGKE2WYtKXHC6r8VtL/wY5NEL7tqXgR7PkJk6reVSzu7SFuRwlRBBcGzG7S+9D8OGG91k6891peltl3I0gESmr7bxNiwkFHyHOh5jGha+QkoU/lGNogc62Uxz7GisvJEvd2bK4O9gO3pbYr+XOS1GURXR/O8bLiEqYZ93ZbXB40mcyprPUA5GYrYLURcGvEoub308MFBB7uOtwetTisPZ22VOYrHvd3bVpBwu3RPNNW2/tohglxlvFo32HHDjhdNBkylC6cm3I7FPOtjSY1P+ZCyeCdCYtBQ2GrE3ffdyPcKOXxvsOBGzGqpNwa1vnp2QL7XtQ91oip8GDP5qOdFo8OXCJBIpIV1iKZDIGTpoicJVRsj0EFbg2q1MKINGuLO54smTQLBfTxYc7MjRGMDBKpCq3tPay8htSwUaMQ4cQwSRojZAlJlGDkVbIkQd9vkc5Y4EdkpkhWkMipEGsCmi7gOSlmSSIsJ+RHVeztmOK4ys6Sx+isRmUroDgu4lQTZk+reK2UsSkJp5EwMCayt51gSDJ7ZZeltQaOHeL5MeWaz+OFKtdPlZBEAVOXWdtu8aULQ5yasLg0WySJEn7q4jA3TxS5MJajuudwdTTHxmqDpy/LfPx0n5wsEXVIHVGcMnpsoQ/cmJuzRS4MqOhOyHc/3mZnu0WjEwZz/JiLU8e6y8YpkihwbarAOUvl6cNdFpZq3UxLkmacHu1fxNNOCG2iqHHZ0njy8Ta20z8OF7fezoF+P/ukJL+maUxOTnLlyhW+8pWvcPXqVQzDYHV1lUuXLvFX/spf6Yrt/iis2X/7b/8tX/va1/jlX/5lHj58yPXr1/kTf+JPsL+//4nf/8Y3vsGf//N/nt/5nd/hww8/ZGZmhj/+x/84W1tbn/ka4AsEMD/IJfxhQmRpmvLixQsWFha4desWJ0+e/Eyu5utOiKkeJAx3dlMybx9HEiRO5vrlWQbUo8X9+YHLlZLFqMRblOcTeYOFA4+hnmrtnCKx1omYPT1wuDbQnjhbxxb9TTsgJ8hv+T/nB3Is1z2UTOp6EHlF4kUnHLBlhxAm6GToej8wLNR8LpXyOFH/My6qEt/ZanJ1KNennTagtkUuH+07nFYTyNo1KocNmnackF075PZIjpVj4Pr0wGFCV9+iS18eMvn6WoOSpnKxA1yTOYVXZRcvTvl4xyavKG06bEKXyecnGQ93WxQUmSlLZdRsP1ORNuPs450WT/cdBnSZd8ctLg/lut5QmrXZeFvNkNdVj9NFnbvjed4Zt3hT9/CTdpvgSiKSShLf3Gyy3gwQRYGvTBUQBYHLwya3Ri3ujlnkFQlFhIIqcXnQoBwLlGORRioylZNYaIb4QUgujZhQU0wx4/aIxbvjeVTLwFREbpwaIX9pjrRUwCKhVa2T7VURhyyikolSbxBLgAyBAtFmHbUgkyUpsheQTRioVZ+4ICPbAXEiIEYxfi1BSGOaBzGWKhG4CVIiIABeLUaSBcpbAbIqUN4JUXWRZ49cHj7c5eyISVD32XhTRw8ThlQBwY94/GSPq5MWbs2nuu/y0b0dchm8elXm6fMDPry/Q6Pms7BSZ7fs8nypxvTI0dh7vFhhtrPYDxc04jDhK+cGuTJhUQIWX5UR3ZjF1RZ+2G7/MFnqn3P1nvF1aiyHlqRMCgLPn+yxtNogDBPOTvbTfo93uSzXfe6MW1QWq8wvVojilOmh/vO83v7RAabXRFFkYGCAU6dO8d577/Hw4UN++qd/mizL+FN/6k8xOjrKz/3cz7Gzs/Opzgvw3/13/x2/8Au/wM///M9z6dIl/vE//seYpsk/+2f/7BO//6/+1b/ir/21v8aNGze4cOEC/+Sf/BPSNOXrX//6pz533z3+SL/+PbQfFCLzfZ+PP/6YRqPB+++/36UTfhZbrB25wi9qMKpKb9W1ANhhwnfXW5zt6RveWyUM8GCzReC+TXscUGUaQYKWiXSiU5wq6H05n493mtweKrBxrEOlIgrc226+VRwZdBgza02fYUVDEwVOF0z8njj2bpAxZ5lsHtudCVnGUtVjWFMp9IQPThV0vA6QzOUNLFnkVEHn6cFRYnTBFbk2nKPi9h/TT1KiBObyel8P9cuDJh9ut3h+4HJz2MKQBIZ0maVOAn3bDnl+4HJjOEdJVbpAAm3PIoozVEHgytDRc785ZvG87HJ/16bqxtwctfjyVIFnPbH2ihsRxBn3tlucKWrcGbOYtlQGtLbnktHuitgMYp7sO6Rpxgkt486oyZcnC2w0jxayq8M5Pthu8uTA4f6u3S62rTi8qLrsOBFzBZ3XzaCrKH13wuJFK8HLIGdoxLLMSztlvu5TbjT4eN9ms+VzYySHLAqcLxpcGLZwBotMnZ9haryI6QYkuxXEEyOIQkYahAiDFlIWkTZ9MtdDKKlkWy3EKYPMjRHyElJeRhJBGJVRpAx5UEHXM7xQoFAQ2NtIKBRElud9CnmRZiUhnxcJgxS/nHJ5LkcURLx/bYxzs0UURWKsZDJc1JElgSfzFW5fOJpvr9fqnBhvj80kSQnDmPFBg+kRk7lxi+mSwa3TJW6dKnFlKk9JgnyaUdlusTBfYWO9ycvXVeqdcb+5ayP1jJ+XKzUKnU2EqojossiXT5cYAd7MV3j09ICRfP/mRT0GKDudcVEwZO7MFGitN9l+UyfpmYCDuf5jfFqA+bSFllNTU7z77rtcv36dvb09fuM3foPLly9TKpU+1XkPa/1+9md/tvuZKIr87M/+bLcNyQ8y13WJoojBwcFPde7j9oVJ8v8g+34hslqtxuPHjxkaGuLy5cs/MgOjF2DaUiCw6b3Ntlqrt8Uod2shhiLiJSmrx3brQQqinEcR/W6RJBwVUr6uebw7med5w+H47aUZBGHKhKn2SehfKJk83LG5v9viS1MFHldaDOtKX8HlQtXl2kiOzebb150hUpIVRNotbAFm1ZTlTnho0pQY1Nr9z3s7+s1XXU4UtE8kIZAKkAp913oir/Nwt900aragIUmw74bs2kdAdH/XZiKncqao8a1jE1jMBJYqLnfHLJ4c2IQp3B61eLBz9L2zJYOJvMLvbh59FmcZYpbxrfUGp0s6A7rMi7LL1WGLe53fLtV8ZMHn3JBJlGTcHbMo+xGCILDZCrrKvuuBQAmB3+0QAQZ1mWujOdwo4daoRZimyKJA2Yu6G4WrIznma163OPTuuMWD/TbTbsJUKBkKWSYzWxCxVImqFzLoBQzJKR919N0uWiJBKnNzyKKVJLyxM05PW0yLQ/hugC1LuBMl7MUNBmeHyWQRqW6T+CmaLhAduMSOz8DpEummjXzSIt5xEQsyYjPES1IUUyAKMiRLQDEyDEljbCxjazPl9KzC2nLMo49shgoKbzbr7bF3Js/rlfY1npjJ43SKHJ893eP2uSEWVhsQpkQNjyFFpNII2H7T4PK5QV50tL2WgJuXRng4X+6+s5uXRnjUkXpZ37G5fmGYJ0tVAA7qPhfmcsxvehRzClNDJiMlje19hzfrTRYqHjcvDlOuHc0999hmZ2WziSjQVU6WBYH3TxR59HSfh+vtd3t6tshezzH6ZJaBxc/gwXzaQstDmRhJknjnnXd45513PtXvAcrlMkmSMDY21vf52NgY8/PzP9Qx/vpf/+tMTk72gdRnsZ8ogDkeIsuyjI2NDRYWFjh37twntlv+tObHabcy/9B2WgmnBk1q/tECPpFTWSl3CixbIe/PtqVglsv9vx0zFR5sO7x/osCTDqusoErd4kaAj7Zb3J3Ks/AJzY026gFRklFQpG4/ll6y3Xe3mtydzCMJsNXo93SiOCOfgZClZMJhyEzk+YFDkGScLOqIxDSiBDQTvI4H4SYMSCnTBryI+yeIkqYs13xOWAprXhto8qrIfMWjFSZYisSVwRzPqw6KIHTn6HozQJMEvjqZ5+vr/YWh46bMt9Yb3By3WG0G1MKEswM6D3dbJBnc224xllM4NdAGrF7z4oR7Wz4n8ypFXebZgcvcgM6zjoe13Fkw7o5bpGnGxUGT+apDhsC1MavveGM5BU0UGBMjtLyMK6iMmEqXWg3tJPN3thpdT/NsqU1xPvQSrw7n2GgGmJKIqAhcGDSYr7rICBQUiQS6FOuboxYf7LYXtzvjefa8gKuWgpbFvHZCnDQkizz2M5kLOZWIjOVWwPUhC6tgIApQvTKLGyXkak2iiSLRVoVUU0hNleJQgcZag5EJE78ekCYRVt7AObAZPDuAt9IgmjBQWhEHrkBOiajutHMhYSDhxlDbsyHQ+dK1EZq2TxonXDqp03RiPMfnxITJ0oZNFKY8my8zM1lgZaOJ40RcOD1ArRmQZfBiscqNKyM8nm+DyNP5MrPjFuud5/96tUYhp9B0IlRFxHNDzs8UMDUJMQO75TAsZZR3bZq7NrsFjUYQdz2O+ZUauip1WW6L600GS3qXstx0Ii6fHUIRBZpVj+WlKmPqMEFPZOL4trTWOLYOVD2abtT1nn6QfZZCyy+CVP+v/Mqv8G/+zb/hG9/4Brqu/+AffB/7wgDMDwKG4yGyJEl4+fIlBwcH3L59+0d25Q5tue4e37gwrIosbznkixKtziI/Yqis9BRYfnejyR87VWKZ/kE5kdNYLwd8sNbk7lyel1WHE3md/eaxhTJIKakyTnQEEtOWxkpH6fXCkIkbe2iyyIuDft7+o50WN4bfHpRxEPKqFnFlSGPRCckQOF00uNcpHnzT8JktaJwoaDw8JkkeizI7Xsa0mrHZg1tN28NOJEI75cZYjsdlh7NFs3tMO0p4uu/wR2eLfGO9X/NszFT45mqdC4MGtShl140oahJvOiDwaNemoErcGc2x0wr7woUVN8IUBCZNhbwu8/TARRVBEgS8OO2SKE4P6IzrMmVHJOyMl5NFjWf7ThcEhgyZG2MW260IWYA4a1OgZTLWWxEggpdyd1LhWdnlzIBOUZMxZJFWGDNqquy7IVN5jT036h73zIDOStPvinLeGbP4aLe967VkkQFDYq0VkFdErg7l8JKMm8MWpiryqt6mPJc0hSetdv3FOyN57CgitQOc0GMnlZiSMxqez0aYcGPIRJF0tJzIGxUsUcCaGaYqgr5XpepkWIpIHMY4dZ+p0wNUlmuMnyq0+9RrArqlEFQ88qfyZFtNmrqCJWWsr/rUtjPevT2K7cSsbdQo5HVeLbaVjq9dGuHZywr7Ww5z0xoHtQRTVcAPuXm2RJRkSKLIV66N4Xhxuxw/zvjS5eE2uSUDRRYY0ItEUUoYJgyXdF4s1bCrPq+rPreujvLw0V53DJw/ZVGptwdjrRlw9eIwT19XO/Mn4fqpEk+WOkrMGcyNWWiKx8SAjtsK0LyQhwvt7wtAFPV74ge1/lD2xp6DaqmEccrJ0RyqF/Fmo8H188PHp9on2u8XwAwPDyNJEnt7e32f7+3tdVuRfC/71V/9VX7lV36F3/7t3+batWs/0nXAFwhgfpD1hsg8z+Px48cAvP/++z8yyvbaYvVtL0Ilo+JGvDNm8jxq/13M+gExzeBgr4EmZAQ9f0t6KokXd1xGBhTI3gZTTRAouwk5EZzOuB8z1S7AzFdcbk/kUVX4+Bib5VTB4Ol2i3MjJoudavqCBIu1EBB4Xgm4NW7xou70Mbeg7VlMGQpjhsxeT4HnhQGTjzuCkVdHcjyruUxLMWtee8KEScaDbZv3Ji0eHitUU0R4vtvilKXiZBnbnXxPThSI04z5clvQ8M6YRZplfV5EM0wQkgwNuDho8KpT93Jz1OJ+T+HlmZLBTEHjG+v1rjckZBmmLPLBRgNVErg5kiNKMyp+3JeHGs+p/M5anTRrEyuuDOroJCxWPQ7TkjfG2gWkGe1w2qSlYEcpzc6Od8SUkRAoaTITOZUhXSZKM4qaDAIUFIlWnHBtONeuT1FFtp0QRRQ4WTT5sCPDcyKvsdhqX9+kqaDLIhcHcqRZxqNaW93g1nCOlAzRjxDElI0wYTwLqdQTdhA5nZM5mcuRk0UWWk3GNRVpbgwpDBj0Q5qigJS02H9TQZdFRFmkslhl+mKJoBWijRkkcUKWZuSHdNSKgzyS4/E3d7j/eIfTc0OsrO2jqhI3r04TBimilHLnxiiVWkC54nH6RJFnr2qUDwLGRlzKjbTtXQhw7tQgiyvthf/UiSKr260uFfnm1VGeLbS9mjdrAjOTeZzOeHn9poahy3gd2ny1HiIIRx68Y/d77K4bMTduMZhTSMKEuO6xu1xjt/P3yWPMsdWtZt/xNvccrKLWVRRI04zrMwXiVsizJ3sIwPJG8wsPMKqqcvv2bb7+9a/zp//0nwboJux/8Rd/8Xv+7u/9vb/H3/pbf4vf/M3f5M6dOz/SNRzaTxzAVCoVnjx5wujoKBcvXvzcK14Xa28n5A/pxB+/aXDrTJH5ukvFfbvAcr0acGY0zwvnaBFf64npNoKEyVRj7VieBmCz5rPTCjhVkPHISBH6pCoAHuy0+Jnpwlu/zUkifpyyUfE4WdJ40woYlVKqPcy3h7s2f2SmwO9uN+mV35/KqXy00WDQUDhhqazZIboksNCRaAmSjCe7NhcKEEgmHMtF7R3UGEOipUjUOmHvG8M57m012XciTEXk1kiuLY/fE8P24hTHj0mTjBN5jbVOPdGZAZ2HO62uF3ltzEKV4OFOs++8hizyjdU6MwWNEUvlyb7NzfE89zvnCJOMx7s2V0ZzkGTcHbfYcyOiNGOjGXSP70QJSRjy3VoECAwaEpeGc0QZXBwy2LJD0o7UxyG46JJAUZO7enF5RcSNky7F+VRR51XV7eZx7oxb3d45p4s6C7W2OMmkqTBpaQynajvcI2Y8KtvkFJGiLjOkKZywdFYdj2oYc3PYYtsPuFLUKUcK20HEOTUj9H2WvZCiClOKQl6RWPVczuVy7CsSFhmFE4NUBYl86FNZa5ISk6YZ9q5D/sIAzk6LgakckRMRBymGJODue7ScOo2mzJffmcbxYirVFlkmsPKihqqITE8WKddquH6D29enaDkRqiwxOSHQaIUEQYzvOQwPqjTtmJW1Breuj/Gwo/31arHCUEmnUvPJ0gy9h2DSsqO2F/Oqnas5qIbcuDRMpeFjGQqqLPLlSyM0mgG1qsfKiwPGRnM8mj/aJI6Mmhx01Jq39h3GJyx2O8XBthszN1tgdedogzM7muPVeoOLM0VwI4SKx/OFSnfGLG/0j8PvZ59FTdlxnM8lGvO1r32Nv/SX/hJ37tzhnXfe4e///b+P4zj8/M//PAB/8S/+Raampvg7f+fvAPB3/+7f5Zd+6Zf41//6XzM3N8fubhuWLcv6kQDvCwMwPyhEdpgse/DgARcuXGBmZubHUu261ngbYMrOUWhuZ9+jYEm8qfcvtAUZKi2obLR452yJxxWHyZzKm4N+MPHClBlTbdeldGwmr7G2354UK82YSyWJlqqyfEzav6hKfHulxu3pIg867ZFVERY6ITM7TNguO4zmRJqZBvQD1EEz5MaAybOGx6FjNWkobNc8Kl5EkKScHzSwFIl7W0cTKQMk2aAkCKgiHJbvTFsq642UJIO8nDCjZVQTkee7R791o5RXezbXRnKUNJlap7BRFsAJYjYaAbIocHcyz3zVIUmyvhDlwoHNWE7lxojFthOw60QUNIntDiBtNAM2mgHXRnOIKQwbCuVOq4A7k0eAs+uEKCJcHraQLY1GELFU8zhTkHlWO3oXSZqxWPW670cU4PqYhROn3By1UEQBUxWpejFnBwzcKGayoLFS98irYrsTqABFra3ePJvXcZI2OCiiQExKkqnsuiFFQ+Wjjidza8ziadWmpMpcHjLZdUPWbZ+cKlINYyZ0GVGAVhgj5jQO/IiLRZNqGFBL4HpBw48iKn5INQkoZdAMPNw0ZSqOqKsyE4ZOYcAkyfkMqwmtckh+UCNNMloNj+EZi8Z2i+ETefZWm6yu7vD+3VladsTz+TVGhgq8XNylmDe4fnkcEFFUGVkeYmOrwf0n60yMFljbbIdGb16dYuF1GxxOn8iz23SQJHj5fJ0zkwUcP0VVZYaHDIZzctsTjSO+fGWE/bJHkqTUdlqcHNTZ37dx/YTmrs3mxtFG5fqVEV70kAUmR8wuQwxgZszqAowATA6bXYABGMxrXYCZGc0xYigcJPDqfpsafONKv7TUykZ/2Pf72WdJ8n9eOZif+7mf4+DggF/6pV9id3eXGzdu8Bu/8RvdxP/6+nrftf2jf/SPCMOQP/tn/2zfcX75l3+Zv/k3/+Znvo4vDMB8P0uSpMt+uHHjxveU2P88zK76fWyTnCRQaR2FV3aaIT81WuJbjf4w1cmBHI9rdQCerTaYmsgxaii8OZaTGTVk7q3UuHtmkAedXe2YobDW852XtYQ/elJlvdoPYmeLOg+aAffX69ycLfC46nJxwORRT8jMTQTOaGZXK+zQJnMK8wdtkcgrYxYLto8ui7zoEbq0w4T1ssOVkbcHeBgmvKh4nB40aKQZB37MsC6z1b5lWjE4icCXxw2+vevQ6yWdyyt8vNGkqMvcHLV4tG9zYyzP/Q6IxWnG/c0m708X8OKU1Szrhr2uj+W5t9XsAtGtcQtNEviw555VEWpexEYjQBLg6qiFqQh92muHx7rf40XNmJCGEbdGLCpBwkYzYCqv87KHbHF7It+VooE23bg3t/TORDuUBiCJAuM5laVOZ9AzAzr39lvEaYYowIUhg8XO3+6M5XlUtpEFuDGSAwGmTY2SLvPhXvu53Bq1aEQxl4o5UiHlSc1mWFNw4oQZQ0cVBWpRzLAq00phM0y4WbJIU2gFAdU0xIgTmpJIBBTI2HJDZnMGkpAQDCnklIAcOXIdma0UECWR2obN+KjF8toO4yNFNnZ2yISQr37pBI4b47geewctylWHqYkB0jQgl9Mwchl3bo4ShhmO6zE7XWB9s8nyWoubVyd4/GwP24lpNl129jvU8JUq588M8brDMpuaCNjbP6rov3VjjNWOwOabtQZnTpVYWm3/+9VCBSundIsi1zb7PYz6sWiB21OcbOoymgC35wbYXm+w9eIA04sp9zAn68c2kiubP5wHk2XZZw6RfV5Kyr/4i7/4PUNi3/jGN/r+vbq6+rmc87h94QHGdV0eP37cRdsfJ8Oi6Ud89LrK3asjPOhQfkd1iSb9lEfPjjidk1ju8Wx6uzB6UYrgJkSfoCDgduLJj97UODtdaPc9cd8uIN0ue9wYNHhcPdpteR3QyICnmy0uT+aJj6nFQrvJlGOHnChorHVYNFOmyk4nXPd8z+bCiEnRVPlos39Hdn7Q5N5anbP5lNdRuw7g4qDBfGeXt1z1GDRk3h3Lce9YLmjEUPjups2ZkoGdpuw4EQOKwEInj9TwYx5tNbk1brLXOga8OYWHW038OOVkyUBTJfwk5VEPJTlOM+I45clmi+vjeew4Zbnuc60HrJIMFssOI4aCKQhcHc3RiGIMWeoDF1lo92nfCARw2+/6vakCjSDh7phFnGUostBX73NhsK36fGg3RnM86AHoW6NW998FVcSOki5V+c64xfOKw6ylMWqqkGWczOu4ccJCw8OJUwY1GTuJMSWBs0WTZpSw2gq4MiizZHsMqQpzls6jmt2uo0p8LuTb6gbzrRYDikSaibxq2VzISWRugmUYVNMAHdj2fAJRIHFtDgSRaUMnEdsFq5oOg0qewhmZII0oCgaiFLNX3me/XOan3z+D7UYsrW4D8Ga9zOm5MW5eHUeSZU7ODvLgySa7+00unB1lcfmANM2YGi9iWRkDBZMwcrl7qw0+QZAwNVXi6YsyQZhwUG4giW1R162dFjevjPPkRdszmV+sYOgiXqejpdbTSjyMUi7PDXTVk8tVn3NnBllcrQOwstFkZMQkjFJGB3VMReTOqQEOdm02Npo82rdJBKHLRlvfbCKKQhfcNnZtJFXs/v2g5tNyQvK5t5U9ei1N29f6aQHmD1I3S/gCAcwnhbsqlQqPHz9mfHycixcv8p/+03/63Nsm99rrzmLyYrHK6LTFvheRk96+rmbT5qAZURyx2mKHQO1YMeRK2eX9Y5XqqiSw3DlHnGSUyx5zgzqvjyXJLSnj9UFbRv7iZIFXDZ9BTe6GwqC92O7XPCzxmISLIvJq38GPU1La+YBNO2Cx3H+OxQOHa8Ptuo5ejbX9WtvLWWqJ3Jo0eFb34BiIVb2Y0Iu5M5rj/p5N1nl3kzmVvYbP64rbzr2MWZDBw2P1A/V6iz1P4FJJYaGVkGQC46bCfqdm502t3RL3vekiUka36j6vimzWfZIMnnSA5/3ZIm6cdNlg0PZgDgHn/laTIUMhr6XcHrPw4pjFisuZvMx8j2d6cdjko+1m13MdzSm4SUYQJgwbCtMFDUkUuDnS7okiiZDSbnCWZm1AcZOs7Y2QUegoHYybKpYqsdLyCJKMPSckzFL23Aihc96DRoQqwqVBg0aY8rrp4mYpb1o+hiwQZQkX8zn8JOVhh+p+rqBzEMasOj6KmDCgyMzlDF42WxQlAdvxKEsKo5qMHyZMGTnW3AaqCIGk4icRntekmUqMahIZIk6UgRhhShr/9Z/7zzH+9wpv1vf5j998xn/85hNEMWZh+Q1zM2N89UunsZ2QMAp4+mSZOEl55+ZJqjUXwxD56rsnWduss75V48aVaR4+bUuOnJ4bYnWj3iY+aDKFvEmYBIiSxfUrJao1F8ioNw44c1JDlhQkSUYQI/xQQpYVoijm6oUhwihpd/Uk4+q5QSRRQBDAMhWMMwMEfoxjB4wWVB482qWx3n63Vy6PstGpfQnDlDOnSyx1PKQgTJg9McBaZ8wmccqJ6TxrPXma5Y0mNy58/0T/ZwUY27b/wPSCgS8QwPRalmWsrq6ytLTExYsXmZ6eBj6/rpbfy5Y6C7gbJJxOBfbpZ4EdWs2NaAYZV2WJZ2GCLom8OVbDMl3Q+HDhgDvnR7jf2dWeHjCY7/EYKk7IuUGdHUnA6znPpAKvs3aiemvPZm44x4ghc/8YL79ExGol5uyYxevO4nx+QO8qyzb8mCzz+NJUgW+t9XsqV0ZyPNlqMW6pzFgqG3bInAGrjSPAerTd4p2pfLeW5NDmihpPt1tkwOUxi00/Iq/KPNnpz72UmwFFVWLEVDjo5DROlnTelNstBl5WYoa1jBEt5emx+pZbEwU+6ISiroy3cyAlXeZhD5NMkwTW6j5bzaCtvDzUZls92OoPY4znVV7sO90i2PNFCVHWuDsu0whian7EvhN1wUUSBQqGwl7Heyx7EaOWysvORkAWBWYH9G6Sf8xUWEvTLoX97rjF73auwVJEcrrUzQtdHM7xpGxD1g6vJQicK5joisAHnXzMjWGLl02HWVNjylK5X2nXA50tGRiiwIVCjid1hyjLuD2YI0xTyn7Mit2+vmIUsCMrDCgy1TAgQyFK2/PmZK7IG6eOJorkcgPsOjaKnOE7KVHWRCkIZL4EUQyywsnZUf7yX/hj/OW/8MewHY9vfTTPb3/zGU9frrO+VaZSs3n/nQuIyHh+yPBQjg/vL7Tf4dVZ0syhWq/xU++dwHYiag2f29enuPdoEz+IOT1ncFCx2fRqVGotDF2j1gkjXr88xqMX7VyIrokIgoTfaZlx+/o0z54d8sPgwplRFpfbFGTTkElSkbBDQ9aO6QUqxzaNhWNV/4NFrQswAKW89qkB5nAj/FlyMH9QesHAFxBg4jjm+fPn1Ot17t69y8DAQPdvn0dXy+9nSz0ewrM3dW5dGWG31r/zNyQot9or0bPVOncujWAnGa+OxWrHcypbwNOlMudOlFiseeTltwdb6CWc1VSexz5pJ28R90ij2GGC0fCJpLep2G6QEqSwXXY5N5JjseH39S4HaAYJjbrPxZLBqx6GXNyZfLt2SD5KmNFBSN4GU99PIEg4XzJY6Px+QJO7OaMXezbDpsKJQYWNav9vi4rE8x2bnCpxe8zi4W4LVRD6dNlqoYAmaZy1MppRzF4gkJNgfv9ogj/ftbkwbBKGCZdGTF52krhXx49CY1UvxtttUlQVzpQMirrMctXj1JDBg57FwlIEDkKBauPovd6YzNMKEuYKGgjtJlfPesbC3WN5mJvjVlfOXxRgyJS7z2Y2r/G8Z7NxdtDgRbVN+JixNFIyzhVNvDjhecXDS1IsRcTQOoWwsoAqCUzrGm6U8rDSpipfKZnIooCYioRkRFmGJbULWV81PW6WTJZbAcNJQk3XSNOUE6ZGOYzw45hdP2LSKOAnbaCZ0A1WnHYOSNc1VoOUK0WDKI5wnIjvfOc7mKbJ8PAww8PDDAwMYOUM/rM/epP/7I/eJMsyXr3e4re+8ZTf/t2nCGLK/ScLyLLIT33pCnGcEYQZI8N55pe22Ng+oJjPsbPXYGVV4saVOTIEVEXg3dvTrK7X2S/bXDgz2gWYlbUaeUulZYf4QcrFs0Xml9qbjmcvtzENFbdDKdb1I0/B9WKuXR7nWYd99nqlSqlgUu9swjaPhXadY7JJWdpfH9MLR0VLpXwsGvBJdpjg/zREpCzLPtcczBfBvjAAIwgCruvy8OFDFEXhvffeQ9P6lVV/LwEGYGujSXBMdv5EyWSheRQOe7ZY4e7Ft5uYpZ26izjJqO7bDBV0KseaewlZxmrZpepG3J4b4H7dQxNh0+lf6OMkpXLgMmzIlDsTalAV2Oz0XHGjlK0Dh7vTBe4dS0JO5zWebbdQJIEb00Uel12m8xrzPWG5VpCQF0VKAyZv7KPPp/IqLzqU4aYfc3emyK4X8Wynf4LmVInvLlW5M1Pk6YFDmGacGzR43lmUnTDh4UaDL88NsHFMuubmRJ4HHWaOJMDNCYssjXl8cPQ9iYyWH7LdOvSCDCYKGg93++/18mie+5tNdg8lb/IqfphwdUhls+FTi0VODeX6vKVbk/mjOpwanB0yeLzbXtQtReTSSA4/Srg9mkMUBAxFxE0zbo22a3hKukQjTDqhswxTkRg1FZJO2Gy5GZAmUHdjwjTttkK4OpJjq9PU7sKgQZBmTBgamixwvwOu10Zz1BohFws57Chh3QmYNFUWWw5zps6QJvOk0QaJiuOQT1OsgkXNdzFFkUoYs+cHXC3myNBZdVyKSowhyqQdoJ8xTSqdTYlPiJ2q3Jmd4eLFEtVqlYODA549e0aapgwNDXUBR1VVLp2b5tK5af6bv/yfU6vb/M53XvBb33zKvYfLxEnC5k6VE9PDXDo3hJXLoWsa9YaL50dUak1WNyokScrQYI4gSEizlN2Dfd69PU4YpqQp5HM6Lxcr1Js+W7sumioRhAlhlHJ6zmBhqf2snr/aI2dqOB1POe2Ru8gymDtR5PGzNjX6oOIyPVNk67DgeK2OLIvdjd3e/tEGQZYFhDTl5pkB6gctll/v8ui+DH/+Kt/PPgtFGf4wB/Njs1arxYcffsjk5CTnz5//RNfys3a1/GHt9TGAyckiucCnxpE0RF7pHzRBnJI2fCxV6pO03+zZxVbtkEsFjeVjXs7JAYM3nUH+YLXOO6cGsZOIV07/PZ4uGdx/U2M8r2BJYKcip0s57jfr3e+4UYoUpn3FiQATpswWECUZz9br3DkxgCCKbFX6732iYPJgtcHdE0UeHNikCIwbKttZ+1hxmnF/rc5PnypRtwPsnlYDRVViLYMH6w1mBnRkTUI8JlcmkrFWcdltBtyZLjJfdREFgcWeJHmSgR3EbFR97kzmWWsGHLgRF0oyL6tHu8y1mouQpuiZwNVxix0nxFRFHhwD1wFD4UVXoUDg/RMFgjjj+pjFRsNHlkQWeiiruiTgxmlXQeCwD8xaJxSWU0RMXelSmE8U297KYSL/3ck83+54VEVVQpHFLi37/LDJ43L7Xm+MWOz7IdeHchiyxPOajROnzOa1bh7q3ICOhMCQrCIJAuud2qoJS2U4UVhuudTj9licFjIacUYLiSIpJUVlRNNYddvXoggizxs25wsG1cAmE1TKgdv5m8xG4DKhG+QkkeXAYdrMoygKY2NjjI2NkWUZzWaTcrnMxsYGL1++pFAodMEmn89TGrD4M//Fu/yZ/+JdkiTl0bM3/NY3n/Ifv/kUWRH41kfPAHj/nfNUqy6DJY2ZqdM8erZJperw7u1TfPxwlTfrB2iaxMJSGww0VSZnaiRZgKIOcPniOI4TocgKsixx8ZyK4wS0nJCRkszSavvdvFo46AMc/1gLiNEhowswYZhy6UIJ24uwTAVFypgYUdnfa7K+UebxvRpRT5fa1fU6P8g+C4MMPl8W2RfBvjAAY1kW165d+74tjT9t07FPYw0v4uBYYaMc+bzeDTg7K/A6bD+qOHr7/K/WG5wey/M0TMhoLwK7x8BKSTIu5XUe1dxuiGhYV3jT8517K1Xen3t7cB0yz3ZbEdNFDUmTKB8XscwyVssONTfi2nSBp2UXWYDlnt1YmsGLzQbXJwrtbV3HfbdUkZcdr+T+WoNLExbNJOX59rFchqXyrdcVRiyNiZLB65rHiYG2h3RoG3Wfy6M5TFVElQTCzmp9Y7LAw46n8mC9TslQuDmd5xsrVbpBiCxDyNpdOB90qvHfnxlgq+UDR6B7Ni+w2MkL3d9oIAtwbSLPrQmLpapHI0i4OZnnUc91FXWJl3sO9c6zFIDbMwXiNEOWBOwwYcBU+G5P+OTmRL4rjglwbsTqssgkUUCUxC64nCzqPO4ByzODBo87Y+DCoIEdJdwcthAygbLfbmWwZ4ecGTS6isuWKhJnCpOmhp3EPCnbbRVgKUMErg7kWGp6tDrHmm86TJHiAi0EZk2NLINGmDGitcfptG4w33JIyZCFjAE1T5TGOGnCsGpQCdvjaFCTWW655CSFQbVfpl4QBIrFIsVikdOnTxMEAeVymXK5zOrqKpIkdcFmaGgIWZa5c+M0d26c5v/yf/7fsLNX4z995wW/+TtP+N0PXzIzOcS3PnqGLIvMTI5gmhpxHPDenTk2tuvMv97l5tUTPH6+QRDGnJwtsLDssbldJQhDajWXuBMhuH5pildLbWabJA8SRDaGrqJqEqNDJnUlRlUVmq0yp0/phEFMnGaEYZOi5WM7Pi3Hh0Rl/uVR75OrFydZedNmpsVxytR4id2O17+zZ+N6EabxvTXJPksNTBiGRFH0hwDz4zBRFL8vuMCPN0R23HsBEDsL39qmz4mzw6w1fHbr/YWYEwWN3R2b+kqVdy6P8tGezWReewtgVATuL1e5e3GYjzuLVPOY4qtAxsJ6i1O5jJUOoOVVkYXdo0VusxFwbcJi7RgYnhs2WezsyF6uN7h1YoCYjGfHKo8vjlh8tFJjrgA7mUKQwIWhHPc7tE6Alzs2XzkxgNLpQnlo0wWN3brPbiug7ITcnS0SJOlbvW6CKOHFdovJokYxp7FSc1k/JsGjKyK/u1hhuqhTzCk823e4MVngcU+CPkwyXD9i68Dl+mQBJ0mpeBHbXkpb57ptc2bCw473Iglwa9LCt1vk5YxW3H6HJ0smj3vA4ubUUf4G4PyQyUerdfKqxKilMlnQ8dOMu+N54ixDlwXKQczJokacZMwOGKw1fU4UNCQyxi2Vot7unGmpInaccraoU/djWuFRlf/dCYvNTqj0xqjFs5qDIQlcHbJoRgm7TtTeeHRo3FeGckRZhpiJxAK0ogRJADuKGUxTPEHg8C7GdJXndQdZhE3PZVw3MWWZ3cBDFwUyRF7bNtcHcsShRJCIeGl7PEepgJMknM8fdZD8XqZpGlNTU0xNTZGmKfV6nYODA5aWlnj27BmlUqkLOLlcjomxEv/ln/kK/+Wf+QpBGHHv8TK/8fXH/NY3nyKKAitrB6xu7HPu9ATLa7uUijmS1OX29UkOyk02t1uMDufZL7c4KNvcvj7Dgycb7bEWHm081jaqnD01xvJqhZYDI0MWm7tH5JZTswVW1ttzRFEkZEnuil06bv+GzTD6l8bhIbMLMO1zNbh47nsn+j9rDQz8eEsxfq/tCwMwP4z9OENky5+QuBMkFfCJUxDqPiM55S3gGLc0dmkP2vsv97l6YaRN5j9mux0G0/1XZe5eGmG+4rJ0jJ58eijH8laThgdXTxV4VnYZkxOWjq3gqiBQTEHW5W5Mvzd0l2TweLXOHzn9tuTEfrW9yK424dSwQjPL2Kr2g6YqCbzYauBFKbenCzzYtRnQZZ73eARxmrFX9zBEkamC1m2Kdnk0x4vO97YbAduNgJ85O9i3uAOMdupy1mse1DyujFuIWf+Nnhs2edLxKJ50wOCrp0rYUcLLjiL0mKWw4Qq0SwTb916vN3njtLcHpwcNZgYNtlthl8o8aMgs9QCeIoITt73PVpjg1X1ihG5ozJAF8obSbXs9XVD5eKvRbb9wd7LABx2A0ySB4ZzCbkdK6J2JfLc25kRB41ml/f8DStvDu1A0WW64bDoBO26IJEAzjiGD80WTepDwxvYZNRQWW+3xcq2YY6Hp4CNyY8ig2XK5UMjzrO4QpikXiyZhmrBih5zItcfHrGky3xFYdZKAnGyiCgJeCCVFY81p/23aeFuK6PuZKIoMDg4yODjI+fPncV236928fv0aXdcZGRlheHiYUqmEpip85Z0LfOWdC/zf/safY2Vtj29++Ir/5bcf8Z2PF3n31mm++2CJjx8tcunMKAsr+4iiwMULl5mcMJElhSwTkCWROEmZX9pjbnqItc02w6SYPyLDzC/tMThgUa2337WVy0FnrkZRwsxEntXN9r9X1sp99S/uMSkoVe33RlbX6587wNh2+1r+MAfzYzJBEMiy4/vhI/uxejD7bwPMds/Cu75n8+Uro3z7+DX1XG6WwdqbGtPHeoIPGTKbPbH+R/Nlvnp5lG80+hMhg5rEMp1iwdU6MyURAYXe3TrAfiNgo+oxUdQZNRVqfsTisar1kqHw7Vdl7swN8GCvSYbAqJ6x1Tq64JWyy63pPM1jrZuvjFk8WqsD8HC1zs3ZIooq8XGPl9O+L5XHGw00WeTOTJEHO82uXPqhmYrIo9U6cZpxdzLPw50Wc4NmFzAOTVck7q/WuTBmQUcLLYr7r+vMsMm3V2pkQF6TuDKRR5MFPmge7VKnTXjjtBeDDFivutQdj2oAuixybshgrKBz4EVstwKqfsyNiUKfNM7NqQL3esD08lie+z0AaeoKUQdsRk2FZz35thvjFvc7dONRU+FF528lTeJEQWPEVCi7EWOWwscdz/TWqMXTDlvx2nCbohrHbXrtYr39+XRepRoISAlsNlv4SJRUiT0/YNowSbOMsMN+UkSRVw2XCUOlGnqMagZR1obgUU3FkhWe1h2uDxhIgoAiakSx33l+P1p4xjRNZmdnmZ2dJY5jqtUq5XKZFy9eEMcxg4ODXe9G13VOnRjj1Ikxfv7P/TS24/OdjxeYm7nPb33jCWvbdYoFk0bT5Tsfv2RsuMj2Xls08+71duHnUKnIQCGHLIusb9V49XoHTZUJwrid3J8d7ALMynoFSToqqiwUDA4Bx/NjZiaLbO20n/fGdr3vvoKgP9rwZr32fZ/DZ9Uhy+Vynzq09kW2LxTA/CCTZZkoin7wFz+lxXHM6uZu32cjOZXyfv+iHbVCbk/k+xpe1Vr9rrUmCjT2bEqGQq1T+zBbNKhWjkJNaZrh1j0ujuZ41QNsvXmVMMlotjKKIyr0KAnMFDU2OnmVnYbPSKpxZ7rAhyv9A/70oMH9us+DNzUujpu8bvkM6yr7xwpCoyBlfbfF7RMDPOiE2CrH7ml+u8V0QeP0oMFyB3TH8yrPO4tyEKc8eFPj/VOl7q7/0K6MWdzrANP9N3WmBnQmTIXlnu8UDZlXnWc63wHKnzozSM2LEcjIOqHKjKPW060gwQ8THqy1mB7QGcnJbNRsYqEfkK9PFXjQ8YL8OMVxHL7Ro1V1ZSyHFyTcmWgvrEmaUnUjCqpIM0w5XdJ51BOivNXjkQCM5TX2O9Ii03mFXSfgQsnEkEQKusSBF7HrhExZGt/qPK8RQ+FFtf3edVlgww2YNjWGNJldN2LXDVFFgVhs321JESEV2GyFjIgJdaU9bc8WDN7YAYuux/lim3F53jJ5XLNJsoxRXaYV6ez4MZbc9mTGdI2XjRYCGbXQY1jNd1vzaKLEuP75hWdkWWZ0dJTR0VGyLMO2bcrlMtvb28zPz2NZVhdsisUiVk7nS7fmUKnytV/4GdxQ4YN7C/y7/3Cf+09WmJka7AJMy3FZWNoFNtA1GUWRcb2QE9OjXDg9ieun+EFK2tMcz3ZCLpwdY/51O7dSO0a6GShoXYBpNH1Gh/NUOjpmewf9a8Gbzgbse9lnycHYtk0ul/uxaCz+ftlPFMBIkoTvv61E/KPYITX69WKT6ekSmx05+7G89hbAhEHCq9cVTp8bYrnioski68dCa9MDBk9XqpyeUvAUET9KEY83mAE29l2afsTZmSKvyy7DpsKbcn+eYm7IYnGjweXpAi86fxvPqWxy9L2DVsBJW+dMyWCpp85lv0eD6dWuy6lBlVbYP3DH8iovO9XrD1dq3J4bIASeH2NjXR63eLBab4tSzg3wYLvJdEHr7/5H27Par3jcnR3gyV4LTRa7EjOHVtBkvrNQ4fyYRSYLLJZdzgyZPOjR99JlgVdbLcpOyGRRZ6KkI4gi93qEBiWhTcwA2Kz7bNbh6phOIxS4O5Wj7se4cdJHSVZEgVBU6AVs2/NZs48WoUtjFssdANIkAV0UmDQUVEkgr8mEUcKlAZ0sg+GcwqYdMqaKOGFCUT30WEIuDhk86rDGZFHo04Y7UVR5UokY1RXOl0zW7YDVhs/gmNUNrV0dzvG66XKlmEORBR4dhtYsjVaQcMEyed30qUcxM6bGlutzxmpTpZMsQyAjTBN2/IRpU+UgCDEliXoYE2cwY+jk5YznDZurA+2k/qncMOKPaXETBIF8Pk8+n+fkyZOEYUilUqFcLvPo0SMEQaBQKFCr1Th58iSnTp0C4MqFGf7yX/hZqrU2DfrE9Aj/8ZvPmF/a5vK5GV4ubuEHMTevnuTD+69ZWdvFNGSez292z31ydgxV0RgcyDNY0tHUMWwnolJ1GSqZVDodbAWx3+MoFZU+gLFMs9s64IcBmP+1y8TAFwxgfpgQ2eeZgzmUohkYGuOgWeFEI0CTRYI4xZDfnmj7NY8wSrG3W5QGdEYsldfH+qscapItbzW5emaQZ3XvrRzHZEFjp+O57G+1ODlhMahJVI59TyIjiFKWN5pcnS3y7MBh79j5cqrI07U6oihwZbrA8wOHUyWdN7v9wFc0dTb2Hc4MGix1zjNb0NnvCd09XK3z5ZOlvpyKQMZOB6ziNOP+So3r04W3WGwXxizmO2Gl+29qTBR1zo3n+OZSf/XlYdjrMKT37qkBqsfi3VcnCtzvTODthk/VCRixNO5M5Kn4MW9qHjenC9zvAaWiLrJSi3DCpJ3XAW5OFxjWFWRZZN8OGCto3O9hiV0dN3m2f3T/p/ICL3o8yivj/e2Zb08Xu7kkRRJoRAk7neT9lTGrGyoTBYh6xvGtsbZcvyzAxUETAYEJXaPqRzwq29hRgiwK7HbqYnSx3dKXVOBF1SGntcfUsCqSiDL/f/b+PFqy86rvhz9nqHme7zwP3bdvj7dbLRkPMggbLNmSwJg4LBsMBJyFCUYJxPDDsN43EF4vworjYGJCQvzmDYOxDYYYFkaWkWVZLan7Dn3neZ5qvFW35vG8f1TdqnOqNbamlvBeS0t9bp3hOadOPd9n7/3d3+2WJQqKQrxY80pMMhbZws2jFN226k+622xkJ1MiVSpjkQTigoheMHFQ68rqNsjs164XL2bw6E1IPD8r6tU2vV5Pa2srra2tVCoVdnd3WV5eRq/Xs76+TjQaxev14vP5sFgsuF1WfvSBq/zoA1Ua9Pj0Os9OrPGVrz/L3OIu27sNReXZxV3aAk72g3EAWgMOrt1YBaDF5+Aw3Hhvrl7qp1zJ47BbqFTSnD/jQhQlFEXAYTej0+koFsvkC0XMRpl0ukoQEMUC8XgCh8P+nB7H7eZgvufBvIH2atGUFUVhe3ub5eVlTp8+TaxoAdbY2ksydr6FZyPpW+jIVoPEQW1iDh/lGHIasRtufXxRlYjjzGqMu0f9XFvThq/a7MY6wCSzRaRgCn1T6FtEYaM2CRdKFZa24nzfkIenms415LMytVH92/JmnLE+F4iChv4MkM2WiKYKJHMlLvU4mQ4mWWvK2wRsep5eiWLUSVzstDO5n2S01c5Mk0S5ThQ5jGS53OVgYu+4ml5v8tJSuSI31mKc8VlIFErsJvKMttpu8Y6KxQqr+ylG2+3kFYVIulAPl53Y2TYH17fi7NQ8prNtNiQFbDqBZLF63X6vjQmVDM9oq41J1bX8Vj2b4QynPWYsBplSpUJOUZCEas7LIAm1upLq924WFZYijefT6zJpQmUXVBRmWRSIqXJPlwJWJsMpWix6fCYdItBvN7KZqOqonagC3NVqrXs553wWQtkC55wWJFGoy/iPOnSs5EoYBRhwWLkerXqcTlN1pevRVRvF7WTyDNiMhApZ/AYDZlnPdrYaCovkM9hkC3pR4biWfyhWRML5Ih0mI8VKmlhB5B7PG0OPjcVirK6uMjIyQltbG9lstk4UWF9fR6/X10Npbre72q/+4gB3XRzgEz/zXvYPj3jsiVmenVzjb/9xgkwmT3enrw4woUjjvTgMJ+jr9rO+Va2zKVcUdvbD7OxXw2bdHR6296qLolODLSyuNELnd13sZ2al8ct69DEXbS2OOj3b5XLVQeV2czBvJQYZvMkA5tVI8lcqFebn5wmFQly+fBmXy8X409v1z8dvHnJ+rJVoUy6hzWFgRdWfZXkjzrvsWvkWk05kuynMVTgucFeHg2dVk1+hKRGezBSQiwJdLgvbNQ+l1QT7iYa3ViorlNJFxtpsGukT9blKFYXp9RhDLhFBoS5C2Wo3sFSbDAulClOrMe4d8fLEmta76HSaCMVyZAplptaOuNjjpFDSjtWoE1k+SJIvVrixdkS/34Lbrud6k9bZqYCV6xtHzO0dI4sCY90O0k333ek2crMGXnO1/MS7hjxEM0VmD5IgCLhMcr1G58QMssiz60eIApz2m3HbjMypwFIWucUranOamNo7JlJLzl/pcjC1Ux1bh93AgN9CslCmTxAoKxWMEuweZzELZfJlkCsFHDoRQRSx6EWimSL9DiN6ScBvN5AuVjtSKopCslBGL4jsHRfosBp4ujb+IZeR+Rp7zaYTWY5X2z4P2s0USgp7xwX2jgt0u6rvlQCEcnmGLWaC2TJz8TQVBfxGHWupLENWMxICCzX1BadBQieZ2EkXKdUKZHutJsySxGwizWW3GQrQZbaylKw+L49BRhTsTB5l6LG8/pNbKBRiZmaGM2fO1Nv5mkwmOjs76ezspFwuc3R0RCQSYWlpiXw+ryEKmEwm2lpcfORD7+AjH3oH/+n/9RM8dX2FazeWOQwl2NgOsboRpLPdy+5+9X0P+B11gFnf0rYVbvE76wCztRPVRFWaoyvell5OnfITjUZZWVkhn8/jdDrxeDzk8/mXrSn2VtMhgzsMYF7MNXylIbJ8Ps/k5CSVSkXTanmtKU9wsBJD59LK1Fh0tybsFpeiXOl1cr0GHr0eMwvJuHanssKNmSB3nQvw7E4CSYD1Js+h121k9SCDo5Klx2tmM57D77Cyn9Cu9vfCKfbjBa4Mebh+kMRpkllumnw7LLCwX+Rst4PlZJ5csUKHw8hhE/AdhrP0WY0kKhVCqQIGWWCl6VyJVIFMrsiw38JSzeM602pnXEUoWAulsepErrTbmQ2lyBYrmPUii00y+4VChd1gmiudDuaCSTKFCi6Tjh2lEaIK2PQ8tRKlWFZocxppdZsQRUEDXq0OA1M1UKoosBjMcEoQSaYKDPktOMw6DDqJJzcaYxzyWzT1Na12fX27VFEolCtc24qTr4Xvul0mdo9z9Yr+0RYLM+HGOD0OgZV49d82vcheqlDvdnm5w85SLYfjNcl1WjKArqZFJwvVGphUsczyURZRFOv7jXrMLCWr1+qTi+RlMzNHOS74rCwcV7+DbpuRbKnCdCTNqNdcP6dSEVhPFugw64kWa62zZR1T8ep3ESvk8OqN5MpQrk2WOgGmE1k8egM23esXIgM4PDxkbm6Os2fPPm+PJ3UR54lWVyQSIRgMsrS0hNlsxufz4fF4cDqdGPQ63v19I7z7+0b49V96iLWNII9+e4altQP+8m+eoVgqE4023s3YUZr+ngDrW1UPpqLyxLO5It2dXrZ2quG3ZEobwl7fCvGue4bxeDxANYdyklc6OjoiHo9TKpXqWm4vlvT/HsC8wfZKPJhEIsHk5CQul4vR0VGN+7p+qJ1Y7SYdlWQRs14iU5s4mkNmboueUDRLaPKQSxdbmNhNYJFvdYn3anH5G9NBrpwLkMiVWGkKOTmtJiBDIlOkEk7T57dwmNCuwP0Wif1Y9W83lqOcaTehsxi42ZSTMeqqLKqZrQQ9fgtZg8xmE1mh1VH1aBQF7CaZ0VYrep3IZK3h04m5zDo2gilCx3ku97mZDSbr93NiHS4jMzuJatLbpmeozYZeFrm+oQ3lpbMl0vkyN9ZiOMw6xvpcXG+S3Ghzmuo5pv14rso8ypa51GYjkS+zFs1gooBak3O0zVavz1kJprEbZSqKgkcn0ekxVSXcJVHDRvNZDRyo9OTanEZCKq/QYpDq19BJAuFs47vvdhpYUzHxWoxlVmrzjt0gMa/Ko/W5jHXG2TmvGb0kctpp5jCdZyKUIl2sypseFRqkgxIKPXqB41wJwWRlr1aUma699/2WavuFg2wBp15iI1293jmnlamjFBXAY5CIFqHXbGO3VkDYYdJTUgok8yLdlupzEFBIFBUKFYXe19l7OWGSnT9/Hq/3pfW4FwSh3sK3p6eHYrH4onpp/b0B+nurXRz/w6d+jG9fW+SxJ2YplSt1L8bvtdcBZmcvormm32OvA8zeofad3tgK1xe8giDUC1A7OzuZmprCaDRSqVRYWFigVCrhcrnweDx4PJ764lZt3wuRvcF2uzmY/f195ubm6O/vp7e39xZPaaNJKt5p1jE1d8TZMz5uFrMoCkSaKI1tLhNHtQT5zHSQM2d8pJv0jgJ2AyGVVMv4TJB3nm9hpWl8h6qiv2S2hD9bwmGQUROnuzxWQrFGSGt+L8uIN4tBEsmXq/djkgU2I43JbzOU5kK3g7xOIqKaFNudJg4i1bEfZ0vMb8R5x7AHnSRQrM2sDpPMXA0IFQXG12Jc7XNxlCtpxhWw6tmreUeRZIFktsjpVju9bhMbtcl2tM3GnEpRIJEpEk/mMVXgbIeDhXAKp1nPdBPwBuxGDo4STGzEARh0g04y4LUIRNJFRBpMshMbClhrBIEysUyRC512praOsOglOtwmAo4qC6vfY+Iwma+GzlTgMtpiY1YFyOfbHZoaGatRR6X2LP1WHZv5CifkaZ+uyFpOxmeUaLXqERQYcZjZSebJlRWma/mWq622ejfTs14LC4k0Rklg1GVhK5EiXIROq5G1Grj02o3E80WGrdV6l4Nacr7PYWI1labPZCZbVjjhwkUKeXrNNoLZAhmlum/AKJMsiWznc/iN1felx2xjpVbc1/M6TmwnCf0LFy68ov7zz6eXtr29zdzcHA6HQ6OXZrUYuf++C9x/3wUURWF2YZdHn5hhZT1YD4Udho9p8TkIRqrfuaiS9k+mcvi9TkK1z7Z2Y8iyjKIoVCqV+twkCALlchmbzUZ7e3vd84pGowSDQZaXlzGbzXWwcTgciKJIKpX6HsC8kfZyPRhFUVheXmZnZ4cLFy48pxRNsVxhp6k6/4RANjMX5sqVNqYPjzk8apKSUEnvl8sKOysx2ju1VdDtTpMGYFBgbemQIbeB5Vj1Pvx2PbsRrevtMumYWT/iXL+rTrNtbmjmsepZOsjitwtkdJAoCrSYKmykm1QEKgorWwkuD3oY340jCgLrTYDa4zXzxEyIbr8FRSexfZRlMGDlRlOOJnZcYPUwyaU+NyuRqrJtMwFgtN3BeC0/cqnXxc5xtt7D48R6fRZma4BzYy2G1Sgz2GEiny8STtWEJD0mbm5rz10S9Kwc5BEEGG6x0uo2adQFWu2N8BlUacn7NQZculBm6TBFsVxhvQaIAmB0meh3GLAaZPSSgMEgcanVRkVRqsWLpTLDbhMIVfHM40KZcz4zoiDgsuhJFctUKgqyKHCQKaAvF4gkK9gqeabz1Z/XkMvAco3ZZpIFVhON79usExh1WVmMZogcJwkXqy9fwGYgGCsiotBu1jMVLTKdTnPe3wihVFBwiHqWEhms5ur72G3R45R1TMTSXPZYWK2JZFYUkeVkBqssEs7ncOv1lGm8w6+XB7O9vc3a2hoXL17E5XK9aud9qXppPp8Pt9uNLMucHenk7EgnAP/hUx/k8e8u8Oi3ZwlHj+sAcxRvUu7wO+oAs74VRlcLK1YqlXqb5HQ6TTqdRpZlCoUCoijW80rd3d11zysajTI7O8vW1hZf+cpXyGQyjI6OvuJn8fnPf57f+73f4/DwkPPnz/Nf/+t/5a677nre/b/85S/z6U9/ms3NTQYHB/nMZz7D+973vlc8DrjDAOal5GDK5TKKorzovsVikenpadLpNHfffffzrgy2gqm6YOGJZbONPM/49X1Gz9iZbmrFnclqc0E+m4GD9Tg9nXY2a7UxQtN59ZLCYaJM+ajE2PkA49sJOpwmQk0Ak0gVKJQqzC1HGTvlZes4d0veptttJBbLcpgo4bToGPCbESsVoPGDMMpVIc5yRWF8KcJotxOdWWaiiYnmMlVFN7dC6WpVfp+LraawWp/PzEptMp9ci+G26jnb4uDxpQbxQRSoU7IrCkyuHzHaYceoF7EbZY5rNQRWvTaU6Lbo+PZ8CEkQuNDpIF0qY9DJKKr8zKDPwEpNwl9RYCOUJposEEkV6PVZ8Nj0GAwSQRV9+nyno053rm7bualilo122JlWAdRYl4MnVbTqy91ObqgAq89nYb12f51OI9OhVJ08N9bpYLsWdmu16tlS1b3kClmges+nnAbiJYU+uwlBgGv71efskBW2a3VKVp3IUjzNiMNCMl/iRjhFrlzBoZdYPa55hU4zK0c50qUyo24za9nq3316A9drckAFpTqGIauV6Vr/m26zgVixRKooYZGqixG9KNJmeu3rLzY2Ntjc3OTSpUs4HC+uefZK7Pn00lZWVshms7fopXndNj74/rv44PvvolQqMz69yTe/Pcu3ry1ppPzNpkZzsp39GIViCb1OrudX8vk8MzMztLW11fNGJx4OVOe4E93FE8/L7/czMzPDn/3Zn/HMM88wNTXF+973Ph544AGuXLnysu77S1/6Eo888ghf+MIXuHr1Kp/97Gd573vfy9LS0nPmuZ566ik+/OEP87u/+7s88MAD/Nmf/RkPPfQQExMTrwrYCcoLFZ68zlYul18wiV8sFnnssce47777kJ+j3/2JpdNpJiYmMJlMnD9/vr7KeC57dHKfX/qj65q/+Q0SYVUR4XCrnrzZxHqk8Te7KJJUiVVe7nMxvhDGaTNgbbOyHc3QYtQRVBU8DvqMrOw0Ju6x8wFyhTKz6noOk45UIqdh/d57oYXHF8P1HAJUJVH24g3PIOAw0OazMKE612iribkd7QrsUredRKnR+8asF6FUIaPyMs51OSgUKyTKFQ5qbLoLHY46HRrApBeRFYF2j4kssBXLcr7Lwc1aOOvETrVYWNxLYjZInOlykiyWWNzXgte5TjvTqnH3+y2Uy2A2KKxHc2TLQnVyV3mal3ud3FBdq9drZjOawaKX6fWbMeklUsUKS6FqbxdZrC0CagAkiQIBp5G92vdjkARsZj2RdBUkfFY9iUKprgZ9rt2uKdo812HnZg30/VY9sWKlvlC52G5jotYmYNhj4jBXoMMkIxSLRIplQsXqZDTi0rGcrL7vZ+wCK7nq8W9rtbOfLrB5nGOspSqICTDmt7KZztJqMGLUiczEa/L/fgtrqQzdBjMppcRhroBVFjHoSvRZrGQKCnuF6jkuu82UKjBxlGHAJpIsFRmw2vg3Q6d5rUxRFNbX19nZ2eHSpUvY7S9P7+zVNrVeWiwWu0UvrTkZv3sQ47En5njsO3OkMwW+++xq/bMn/+//w0Atx5PJZBgfH8fv9zM0NFRfBKu9m5N/n5goivX/PvKRjzA6Osrw8DB///d/TyaT4W/+5m9e1r1dvXqVK1eu8Ad/8Af1a3d2dvKLv/iLfOpTn7pl/x//8R8nnU7z9a9/vf63u+++mwsXLvCFL3zhZV37uexNJXpzkph/oTBZOBzm2rVr+P1+xsbGXhBcANaamFNWo6wBFwClDKGNBD2+anii1WnUgAtUe3cDxJN50odpzrTZNOAC4LBoE3s3Z0NYan3ET6zPZ24uKeEwmOZ8oKq7BWDTw35C+ww6PGYmFyOMtdvrLWGLZe3XazeKTK3F2diKM+KREVA41WrTgAtUiyGXdo85imS40unAY9Ux25SQP9PhIJUrsbSXZO8gxeUOO/mmHNRAoAouUG1DfX0lilWo6pa5zNXvpctjuiXMZpQlNsNp5nczVIoK9w66MckCJ+Fwi15ipSnMZ9JLKLV+MjM7x1QqCvPbCeSSwoDTyDv7PbTaDAx6zVj1Euc77XVwATjX4aiDC0Cn21QHF1Godsw8sR63iWmVR9nhMtXBpdWiI5krMeYzM+YxY9OJJNMl5sI5DGZzHVz8RoGVWgM1naAQLimM2E34dXo2Ejk2j6tjSxQb19WLIqWiwGw0zUG2CpRGqSr/7xUNRHJFDnO1/IzNQI/Zwo1IGrO+8YLJgsjEUQa/QSZZKiIAA1Ynr5UpisLq6iq7u7tcvnz5DQcXaOilXbp0iXvvvZehoSHK5TJzc3M8/vjjTE1Nsbu7W1cN6Wh185M//g7+9x98nP/zhx/nz77wcX76X76Trg5PnRyQzWafE1ygCiKSJKHX69Hr9RgMBmS56vUoikKpVKJQKLC/v4/D4eAjH/kIf/7nf/6ywaVQKDA+Ps59992nufZ9993HtWvXnvOYa9euafYHeO973/u8+79ce1OFyE5akD4XwCiKwubmJqurq5w5c4a2traXdM1IEwi0qirdTyyZKZPJlUkdJGnxmmmxGzls/WWa7AAAol1JREFUqpQ/VLGrjhI5+nJm/DaJULIx1vCR9rz9LTauTwW5MOJlJpiiVFaoNLUttplkVnePKVUUuv0mIkKJbo+ZuZR2gk3UKsonVqL0tdrQmWSWmwQlh9oc3FiqCmwubGdpd0mEw9o8S7vbxFItjJQvVrixFOWdZ3xsSVk267kLpZ7Yh2qxWiZbYi+U5nK3g5m9Y/IlBVMTq67DbWJ8PYaiVGtZxnqcSE21Q/1+C3OqMFahpLAZTLMVyeAw6+hvsWI1yzy50hj3cIuVeVWoy23R1Qs686UKu7Es0XSBo9qiwCALxOJ5Bp1GLAYZo14EpdrdslBWkMQqEaHTYaBcgS63iZ3jPN1OI7JQXWA4TDKyKKAXBQqlCqdsBmKZAm1mfb36v9dtYr1GuhCAiCps1mE3Eovl8OkEem165uIFJtNZOg1lDorV59ZjN7CdyhMw6ui0GHnqoHpPg04jO7laYzK7iYNMkZ1cjst+K/EaaNlkmafDSSqKwFGx5pUZdEzWvKFWk57DfJ5Osw2X/lZG06thiqKwtLRUrzm7Eym4z6WXFg6Hn1cvzWTU8/1vH+H73z7C7/zaj1Iolshms9y4cQOfz3cLuDTbiXd08v9KpUKlUuE73/kOk5OTfP/3f/9t30skEqFcLhMIBDR/DwQCLC4uPucxh4eHz7n/4eHhc+7/cu2OApiXYrIs3xJGO1l9RKNR7rrrrpcV312aPmSozcZybYKyG7UejyRCOFH90caOcrTqJQwubUMmt1XHYbQpj3J0TOaoRE+nk81wdXLcblJsthmrj//mfITTAy62U3nW97UeVX/AytRxrfArlMVj02GUtGMMOA2sqo5bP0hydcjDmTYbsypplOYx6vVGgtEMIy1G5kPVCcsmFdlXYZwsCcysxznOFLk84Gb+MEl/wMpsk7KyAKRyJcaXovgcBga6HTyzqqV8em0Gdmtgki9VODzKEorlONtppyQILBwmKee1gH+uy1EPnyUyRVb2k1QUBYso0B+woggC5aaONL0+C+Oq8Z3ttNcFN6vbTk1u5kqPi+tbDcC60O2oEyGkmoT7YS201u81a/I0l7ocTNSevc+i03g2dosO0idSMhbmagsMtw5Sx0ladQa20mVMRoFUbR3itpvrXS11hTQ9ksxaooBf9V46jDI7uTynbRaKFQjVPMfUCZXZZOJmLENJAZ9RJpIvYJNl3LKRYK46VoMEHr2B69EsP9X76k/8iqKwsLBANBrlypUrmEymFz/oDTa1XlpfX99z6qWpG6vpdDqUSpnx8XG8Xi/Dw8MvW+ZFFEWeeeYZPvzhD/O5z32Oj3/846/R3b0x9qYKkcGtTLJcLsezzz5LOp3mnnvuednJw9XtBKHlGO3u2g+gKSXV4bVQUnkVB8E0SqqAy9pI9nV4bk2QHmcU0tkK0d0kAy1Wuj2m5lMTU6kFLKweMew0YZC1X0m5qbdMRRFYWI5ysatxn53Pcf3dUJrZlRhjXQ50UnUy3m0qtnRb9WTyZRa20owGrLQ69Oweaa/X7zNwlCpUiQLLUcwIOPTadUmn18y8KocSTuTJpQu0GPVc7HIgCtUc0WyTQKDfbqRUUZjdSrC4GWfQCiZJwKFq9hRvCkUOt9tI58sksyWmNuMUi2XmN+P0u4xc6XJwqcPOqmqStxokFlXhNJNO1PThsTcpBXS5TUyrPL9zHY46uACYjI2x+Sx6ZlTX6vKY6z1iWm16ZlQ5I5te4rLXQrdexFUpspiR2UqXGXKb2Kqd32WQWE0VMEkCF9wWwmUDS+lqf/m1Wr5FAoKZPP0mM3ORNBu1okynQWInk2PYYiFbqpCsKTB0WPToRRGxIlNSAXGmXOS4IGOVdXgNjXf51bBKpcLc3BxHR0dvGnB5LjvRSzt79izvete7OH/+PAaDgY2NDb797W/zzDPPcO3aNWw2222BC8D169f50R/9UX77t3+bj3/8469Ih8zr9SJJEsGgVp0gGAzWVRKaraWl5WXt/3LtjgKYl/Jw1QATj8e5du0aVquVu+666zmLl17IIvEsyXSR42QeYlkcZh3ptJYO7LZpK/pFAaYXItjKlTrI6CXtY7QZJULx2qoyU2Rv/Qh7E3PKadGx2ZRHEMoKQqZIn78KGHpZYLmJqtsXsJLNl5laiDDW6UCWhFtyRn0Baz2ENb4YocOix2fVej1GnciSKvcxtxmn3WZkuNUG6omoiS1n0sF3pw8Z8JgZCFRXvl6bdoLy2PTMbiXYj2WZWo7RZtYz0mpDUZ23xWm4xQtClFncz5NNFTjfbuPtQx5NYafdJDPfpGVWKFWoKLAeTHNjNQaKQuo4T7fdwKUOO3f1OvFb9RhrSgxnOhzEVbUzQwGbRsLGZdXXc2CSKLCfaoBLj8fMrOo76/KaG3VDRonZGnCZZIEBr5lLXgvnnEbOOo1c20pwffeYzeMCcanxntoNjffilMfMGYeFclGgUIaj2rhOeyykler4ew1wdJxnNpamwyiQrS1Aeu1GhiwWJsPV5nAnJgsKHtnIejJPvBYqs8kSBlHPejrPoO3VZY9VKhVmZ2c5Pj7m8uXLL/s3eaeaKIq4XC4GBwe55557uHz5MtlsFlmWiUQifPe732VhYYFwOPySSykmJyd56KGH+I3f+A1+8Rd/8RWLXOr1esbGxnjsscfqf6tUKjz22GPcc889z3nMPffco9kf4NFHH33e/V+uvelCZCdyMXt7e8zPzzM4OEh3d/dtfTmbqpXqwUGKwUE30aaWyM0I3Om3sLWbZGcvSWebDcGq5zilrZHpbbUznWw0E8vly2ytH3Gxz8VkTWalx2/lZlPxZjCaJZrIk8qWGO11kMxk2Ao3UahzjQl/YjHChUE3e026aWrvCmAvkiZ5nGes18nExhEKAqc77UyuaPMviVSR1b1jhjrsZCsKkiyy2SSjY6hJ3a/uHSMAV4Y97DcBXI/fyni8cf/pXIlrsyE8Zj1dLRbm9o9pd1sIqmqL2lx61mo05GJZYXrjiC6vBbso0NdmJ1ko4bDqua6iWJ/psGvyNS0OAzPbCSoKbEcyHKULVFBI58sIAvR6LRRzJS6320EQKCsK6VyRFpueeK5EwG68xXuZ2G9s2806SOSQhGqRZSJTZNRnxiCJ2I06wukC4VSefKnC9e0EuRrx46KqPmrEZ2auptLgNEjMxzJ0WfW4dDKb8Rz7tQVOWWh87wadiF0n0WY0IsuQrCkiG3RAHgRFIZNIs1h7nMlaCFlEoaIIzB5lcOklwvnqudtMRp6NpgGBQdurFx6rVCpMT0+Ty+W4fPkyev2r6xndKZbP55mbm8Pn8zEyMkKlUqnrpS0uLlIoFG7RS2u2mZkZPvCBD/Dv/t2/49/+23/7qikoP/LII/zkT/4kly9f5q677uKzn/0s6XSaj33sYwB89KMfpb29nd/93d8F4Jd+6Zd417vexe///u9z//338xd/8RfcuHGD//7f//urMp43HcCIosju7i6JRIKLFy++ZJmJ57LNPW2+I3KYpq3FSkIu1mXlU00hGrfdyBbV43b2k3R32DmKa0NPOlH7snjsBnaDaXaDaS5faOHG+hFCU7zM7zSyW1sB5wtl5pdijJ2ysx0u1unJNpPMyq7Wo5EFgWw8X81V7CQQBVjf167yT3c6mV6JEp0Pc6rbSTRXIt3kmXT6zKzWJtfl3WN0ssjbz/o5jGTIFavPwm6S2T1qHKcAsWiMYKTCmS4ru8climWFpSava6DNxo3lKOFEjnAiR4fXhFSu4LXKRFLV8/kcZvaPGt7jaJez7uFMrESxmWUyqQJjHXZyFYWVYIp8URvOa3WbOFRJ55xqt3N9vQqiVSkbAzdUVOvL/W4WVQoDbr+FuCSglyWMskAuV6TLokdRFDxWPfvhNOZyhWyxQkeLrd6fxiiLGIwyiRr4X+5x1pWW3SaZGVVITpFloIBNJ3LRZ2HnuMBqJMtpn6kOLj6TzHLtnTJKICoCmazCTCqNyyLVv/dQWcSpE7BURNYK1WNNVNjJ5ACBUauZ67UwXZfVwHauhF0noygiZaX6Tr1aAFMul7l58ybFYvElsTffrJbP5xkfH8fhcDAyMoIgCBq9tOHh4efVSzs+PmZ0dJS1tTXe//7384lPfIJf//Vff1Xl+X/8x3+ccDjMb/7mb3J4eMiFCxf4h3/4h3oif3t7W0PDftvb3saf/dmf8Ru/8Rv8+q//OoODg3zta197VWpg4A4DmJdSPJlOpxEEgbvvvvsVs1I2m1hWAbeJudkQZ88FmA9XWV37TVX+zR5NIZ2hnCvT5rOxX0uix5p6pXT6LERroZ7xqUMujfrZb8qHdPjM9c6IAAoKGztZRvxWdlIFjjNFBlptTC1r2ywHoxlSmSIzixHGTnvJCwKzTRX4ZZUi8uJWnL5WKzadpNHn8juM7AQb92qQBZ6ZCWE36RhutXFzO8FQu50bS43EvU4SiGYkSpUKc5sp9DKcbtezGmmAp1EnstIU1mpxmri+GEEQ4FSHDYvNqKmxAa2nBjDcZufGaoy92jM+2+OkrChc7nIQShfIl8rMqIDNZpSZ32tsm/UiyyrNObtJZl71/Xe6TUzVNNWgxIVuJ1OqcfvsRsI1pp5ZJ7KoKkQ9026rd82UJYE1FTOxxQy1uke6HQZMApy1G1iKZFiMZDmogYpFFSrrc5uYiqQYdphwGGSu1cBq1GtmtSa4OOSqqgvsJgq4bRLF2qsz6LGymsnSiULoKAE1QoiolJAFAbGk41iqvg8iMGB95SGyUqnE1NQUiqIwNjb2gjVqb2Y7oQHb7XbOnDnznPPVC+mlfexjH2N/f59KpcJ9993HL/zCL7wmvV8+8YlP8IlPfOI5P3v88cdv+duP/diP8WM/9mOv+jjgDsvBvJClUimuXbuGKIp0dXW9KpTHZoCx1JLLM9NBzgSqUiTN9S7xJvBwWnTEEyUyoQz9rVbMBont5txKE8spEkrjkAVNKCvfVIvS12onmsgzv36EqVShL2CpVxOfWIfPrAGFiYUIDlGo1+tANVzW7FG4bAYm5sMM+620uYwYdCLLTSAw3OEgmy8TjueYXo5yOmC5pc7lTI+TeEol1FiG/ZhCJVdkwAUWHfT6qqGkEzMbJOY2q2CiKLC4k0QplPEaZS73OAnYDYx02FlTPUOLQWKp6bvKF8rMbyUYX46ys5ek12VmJGDlSreToRYrpzuqZIATG+lwcqzy2obabHUhUwCPw9AgYQgQU43Zbzcwo/IKT7fbSeZPdKdgXyWcebbdTqyW49ELCsVimTGPiX6TDr9Bx8TOMbPBNAMecx1crHqRBZUenQh0mYzcDGZIqO7BpK9RXFFw6mQWwhni+VL971AFuCGzmYWkgtnRCM3Fclks2SLriRz7tar/NpMR83MItL4cKxaLdYbVxYsX39LgcuPGDWw22/OCy3PZiV7a6OgoX/nKVzCbzZw7d47Dw0NaW1u5++67mZube41H/8bZHQcwz/XFhUIhnn76aVpaWvB4PC/Y9fLl2FYTJVhRVThOTwXpc1XVeE9MEgV2miRbDIZqEjNxnGd/Pc6lfjflpkrJgyYvKOAysrIeR1co0ddqRScJrDQVMrpVifNQLEv0MIWp6dEEnNrYrl4WuLkUYW8nweVeF6IAfS1WDQtOQGGrlldZ2koQC2d425CXTBN4NNcHyYLA/HKMi11OfLX+74kmfbQzPU4iiQK5osLaYYlKoYJeAYexMfB2h0C20ABKj93AzGac4FGOG4sRQuE0dp3EpR4nthrgn+50kFSDQ3uDVg7gtRuYWIsxsxnnxkqU/WCKpc0EnRYDF1rt3NXjgnKFLrcJgyxgM0osqI5vcRqYVgHs2Q4H26paqE5Po5BSEgU2VTmns+12DpJ53CYdw14zVlnkottMC2V6jbB6VGFiN8n+cZ4FFWFBryJ9nPZZKJYrjLrM3O2z8tRukuWjLA69xHJNt0wWBTaSOdpMegKygflopq74fFJ0KaJQKsF4MIUsCOzUlJSdeomA1c5qQUebUaRUO86Vz7C+vs7x8fFt/aaKxSITExNIksSFCxfe0uAyPj6O1Wp9WeCits3NTR588EH+xb/4Fzz99NPcuHGDvb09fv7nf/4l1+y9Ge2OfiNOJCbW19cZHR2ltbWVhYWFV6WrZalcuQUs0mntJFs8znMmYGUhnKJYUujyW9jY0a6kg+HGpJHLlcgfZRkbdDNeS6D7nUYOmwAmm6uOPxzNkkgWONVnZGZLe0/NE3x3wMr1m0FGBz1sJ3IcZ4qEYtow23CXk5laCG18NsRAp51iU5OvU11OFlQSK/lihf3DFG0WAxa7gcW9YwbbbKw23We5rFBRYGo5ikEn8s4zvjph4cSaG6kNtjuYXj9CEgXOdFo5SmcIxrWhry6fmUlV4r6v1cbT89XqaFkSON/jRKKqcH1CWZaaclzdAQvjqnOc7nRwYzXGcabIbjTD2IC7LtwpCDA27CV4nMfsNKGTRRxWPR35EmWlSgm2GmRGW6yggChBpVThQqsNURCwm2VShTLdNj2FYgW5rGCtKBwdZfEbJL6jIk5YHSagChCnW21M1N43p1FirhYOteslzKKAR5C5uZfkSneDfj7oMXEzWn13TrlNGCWRycM0PQ5DXVmg224glC9g00n0mU1MhKrA2ec0sluovkPdFiNPH6QAgYDdxHGmes5Rt5NkMsnm5iayLNflUk66Rr6QnUy6JpOJc+fOvWivkzerndyn2WxmdHT0tu5zb2+P+++/nx/6oR/ic5/7XP0cLS0t9eT7W9XuWIApl8vMzMwQj8e5evVqXWJCkiSKxeKLHP3itnuYuiXk1AwE+XyZ2YUw/QNOtjNF9JJ2cnRY9bc08kqmiixNhxi71MLNrQRtXjMh1XklUdCE5gqFMuWMwqVaBXyxpOBzGths8q6k2qppdiWK12nkyoCb64vaQkahaRGaL5TZWY5yedjL5EaMcgX0TXU2rR5TgwodSnN+0I3BJN+yz6KqhiVfrHCcKkChzJV+N/N7CfxOE8tNoJSrAU65ojC/lWSozYBZr6M3oGNuJ4FOgvktLUiZVSv7UllBFkWemQsjCjDYbqfFY2Q7kqVKMRBwWnUaLTeDLGgayMmSwEZInVsSmds9roft3FY9qd0Khdq7MNRm5aaKPn253811VZ+c7oCFrZon0u+3MKtapOhUTel6vWbWVF5QQgW+Q14L+bJCpVQmmS/xRO16kiiwrmIEnlCQh+wmDIg8W9Nw85h17NS8loBVh64gcJwuUzI2XgCHUWK3AANWE4WiQOVEx06s7tNnMXOupZVTLkudBRUOh+ssqJO+Kj6fD4NBS9U/SXRbrdbbnnTfDHbioZnNZs6ePXtb93lwcMD73vc+7r33Xv7wD//wLfusns/uuLsVBIFsNsszzzxDPp/nnnvu0egXvRptkwE2m5hWTpvhlpBPpDaRrK3GcZUL0HTdDp82RCWJsFUDj4mJQwa95lsecH+7jUxTAvs4DZOzYTotBlpdRjp9WuVnSYRVVc1KJJ5DKZS53OdCX9MnMxkklpoKGQMuU1XuZTZEp8PEcKeDxabak3avNpe1sXfM0nKUsX5XVUIFaHObNUWibruBufUjUtkSN+bDyCWFXp8Zq6r+oq/VektyP1+WWdtLMr0SwypL3HPKj1fVdtpjEZhVeVeiQL2ep6LAyu4xieMiW3tJXHqZ850OLvY48Vga4cTRHhdHqlqmsz1OoslG3uxMt1OTE+prtdXBBUCnawCcQRZZUYHT6TZbHVwAbOYGU8pr1TGnyhup82t9HjPRTIFLPgsXXEYO4zlu7iaYOUzhszXu/7TfzFFNTsZrkskWKwxYTMwHs3W5f4CwKpypF0V2onkOUgUyqvczUy7TZzUxF8xqGppFCkU8eh1r4Rz9jur7K4oiHo+HU6dO8fa3v52rV6/icDjY39/nO9/5Ds8880w9lJbNZrl+/Tp2u/22J903gxWLRcbHxzEajbd9n8FgkAceeIC77rqLP/7jP35Rr/CtaHfc2xGLxbh27Rp2u50rV67csnp6pW2TT6yZotzi1oKFyShpPJpQsIi5rKND1Y/DpNOu9LvbbJreJ4tLUbKxLN2tDcCwm7W1AX6Xkb1aon5j95hUJItZ0oaAhjodt9ClI9Es47MhAmY9fS1Whjrs5DUhKkUTAtzcT2IR4GyXA4ux+qKLAmw2iX0OdTo4ThcZnw1hQeBSn1MDbgB9bdq8jigIPDlxCIUyY/1uHBYdtqb7HO50sKWagFOZAtOrMfYP0wz6LVzqc9HT6tLQIbo8IoeqibXdY2K2RhA4ShZY3U1wfSHC/mEKlyxyvt2GARhpt+O06BAFOFSFGiVRYEcFEBaDxKLKU+z0mjXMsjNdDo2SgCg3vhePVa/pRePUlepegs0osX+c45zPwmW/lRajTPIoy+TmEel8ie2alyIIsHHcGJ++Bm7tZj0jTjPrkRyz4QxDXmPdA2qz6tlL59GLcMFl4TvbCTKlCiZZYCtVPZdJEpAEgcVgFkmA/VouxmuUSZVKFHMCPqMB3XNMmicsqN7eXu666y7e+c530tnZSTKZ5MaNGzz55JOIokggEKhL0L/V7MRzMRgMtx3+i0QivP/972d0dJQvfvGLb9n81IvZHQcwGxsbDAwMPK/rfbtdLZstEU1hV618LUbtC9Dus2hW7aKgML8Q4Xg7welanDzdNOm7bNqqZb/bxOJylOBGnIuD1b7dwbB2sm73a72VYqnMjfEDLnU7MdeoqyZDU8jKa2arBgy7hym2t+K4jDI61QQ42Okg2KQ9lkoXGJ8NYaoonO91crrbeUuuJ6wK60QTOSrFah+S0R4nUPWmNprCdwPtdoqlCqlsifH5MBZRoJzN4jKrVHybFm9n+zxEazUrq7vHbO0nWVo94lyHnfPdTox6kYqofZ5mXUmjNH26y0mqlos4ShUQgKdmQ8yvxYhHs4x1OXHqJC53O7nc4+JtQx70klhnXZ3udJJSeZNeu5ZJFlSxwzrcJo2kTJ/fQrlcwWmQaDFWMBuNXGm1ctZt4pzPwmE4w/RWnNm9BDf3j+vjtlsbC6ZTfguR2jtkkkVyxTKjViN74Qx7qWI9iW9Tff+ddgOdZj02QUeupNTP2+8y1WVqBh1mFkNZcmWFXoep3umy3aqnQ29mI5Fn2PnS6Ml6vZ62tjYGBgaQJKnesGtxcVGjPJzP51/8ZG8CO2HF6fV6zp8/f1vgcnR0xIMPPsjAwAB/+qd/+patCXopdsfB6tjY2AuujF6tENnkxC7WcgG901idZJvyFwad9g8ep0Q4XKJYLLA6dcjYXe0s3ZLk1npWbX4LoVCafL7M1I19Tg1Z2Axpw3ClpmLBgS4Hc4tRJmdDtPjMtLZa2W7yMtp9Zg5VoRuTXuKp6/u0eM0YbXpW9pK3eBAtHhOrtVxFNJEnmgjz9outdPstbNXO1ddmZb0pj5LOlqq068MUA10OWnxmnpwJ1T+XxFu9IKdZYHYtiSDAmT4XRrOeyRVtvuioSf2gr9XGjYUIM7Vk/dk+F4gCnl4Xa8EUsiiwGW4AuiTA6n5cc45YU4gzmsxrund2Bazs1e7VadFxnMgx6DZh1ElYzDKlcoXLHQ4EAcxGmXSxTKtFh4KCzazHZ5YplhVK5QqRaBZdsUIil6e93cz0TpqTZm/tKi/3dJuNyRogG2SRRZUHZdTLmCSB0y4zVr3IE7Vn7zXrWKl5bgKwnawuAiRAh8BqNE+potBia0xclpr3c8ZpoVIWyNSoYha9dMIzwIjEd2uKzKecL53mn0qlGB8frwONIAj1gkK18rDNZqsTBWw222tS4/FaWqlUYnJyElmWb9tzSSQSPPjgg7S1tfGlL33pLatm8FLtjgOYl9LV8tUIkW3vxjkIpggEbLT7naSaNMhyWe3q3+0wEQ5XJ4pyWeFwLcpgm535nWMKNZDYa65/aQKtQrpMwGRA8cjsHKaQRFhvCj8ZVEv9w3CGXoNEj8dM/DhfD0sdJbST80Cng6n5MLuHKYQgXB71s9vUkbLDbyGoAiWbWcczU4eUKwpjp32shtM4LNofQ2fAwooqgb66nUAChlqsCLLI0u4xZ3pdTKuYU7IIW4fVSVRRYG7tiEunvLTajbT4zCzvHdPus7CoTszrxFs010oVhYUagEuiwPedD5DOl4imCmwGU5zusjG73bjHPr+BddX9DXc6NLUzp7scLKjAs6/VxqS6qn/Qw7iqQHW4y8Fi7XibUaIkiWRrYaoLPS6NjluBxnc21GJlSeUFplRhy9NtNiZDaQQUhl1m5FIFKVdmcivOqEq8tNtjJlwLzw64jWyl85yymygUyjy5m6Cs1IBHBdLRQpGzTitP7SQZCTTCvSd5mSGbmX0VAL9UD+b4+JiJiQk6Ozvp6+ur/z7VBYW9vb0UCgUikQjhcPi2WGlvtJVKJSYmJpBlmfPnz9/WeJPJJA8//DBut5uvfvWrt4T3/znaHQcwL2avhgeTy5U4rE3AwWASZ6GEo1/bE0EUjUDjB2w2m4HGSt2or3olbW1mChZ9TcW0qUdMEyvN7bAzMR1Er5e4dCFAKltkWcVQgqr8jPYYI+NTh3S22ZAtOlL5EuvNgo+qSUxRIJctUTzOc6HPxVRtkt5vomQPdjmYmKvSgSfmQnhdRvRUJ/sTCRa/y8SOqu9Nu8/MkookMNjtqK6QVdbj17O633huVrPM/PoRuUKZvVAag07E36dH6bCztJsABEZ7XYwvNhQKugNWFlTX0etEJpai9TyU3aLDqtcz1ucimsqzFUrT1EYHRXnhRYiaCGCQBVbUiso+cx1coApWN1TjiaUaXkiX16whAphNOk5chg6nkZUaScEoC9j0EmMeM+vhDGZR4EYNVG0GmUUVGzGpIh20mHWYEZjeT3Kx3Ua5dqk+l5G97EluRcImyjy1k8QkC2zXcjE6UWA3k6PPamL+MI2uVo+kFwV6bS+ucJxIJJiYmKC3t5eenp4X3PcklNbW1vayWWlvtJ14LpIk3Ta4pNNpPvjBD2Iymfjrv/7rt4zI5yu1Ow5gXsyDeTVyMNt7CU1+RSmXmZ9ao3fQz8ZBCQGFg5CWfnzcVMHvcNiBLPv7GczmPN0DZtSi1x6ngYOm/i/hWnikUCgz+ew+7/y+DsJ2A0e1c3e1WNluAo9IbTW8s59EEgXeeU8H303k616T1Syz3MQMkyWRWDxPLB7iVJ8Lq1PP+HxTiKrJC+oIWHl2KojXZaSj28nCdvwWr6LFY64TEqAq4vn0xAFdLRZkucxmpEgJPWpgHu52Mr7QuLbHaeQ7EwcoSjVH1dVm1RAjANwOA1sqQBzpdWoAqNNv4ZlarQzAqVpO7HKfmVyxRLZQYGW/KuYI0ObWa7yXUyrvBOBMj4sJVbjT4zCyVXvuggC7qjxVu1PH9lEjVOd1GNiqJe1tRpn52rhteokBr5lWm4FEukAyV+K7y9F6zqSgegEHAhYmau+K2yyzEs8SMMp0GWU2Ihn2ap6HoKr/8Zl17GXztJj1dFsMfHf/pP7FxHqmOvYeuwFJB8vBLK0WAwfF6vcy6DAjiy/8Ozs6OmJqaor+/n66urpecN9mO2GleTyeOz6UVi6XmZycRBRFLly4cFvgks1m+dCHPgTA3/7t396RjdXeKLvjAObF7NXwYLZ24pptj9tILJ5iae6Au+8ZZD9aIKha0YoC7DblGeKqau5MpoyurGOkW8fybpZSWcFuqqBWDXPaDew2eSc7Wwkqx3nODbmZXo7hcxs1AON3m9hSbZcrCvt7Sbx6CXurjcXtBAMd1fDYiRl0Iiuq0M/S+hFjZ3xcGnCzsp8kmSnS2WJlY/fWXAtA5ChH5CjH3ef9ZAoVptePUKjWzyw30aB9TiO7B8m6l3NuyINOJxExyaSyJUQBjZQNQIvbzH5tMg3FsvhdRmbXjuhps+FxmUikC8yqJntRgN0msC83VZ0bdBI3VU3ALg55MCoFAm4jZr2AQVdGr0ChIlJVtlHlvQQIqcDWbpaZUwmKnulyMquitBvlxrEmncjuUY5+jxmbXsJlMxBN5gklckSO88xsJeqSM5f7XRzUnrnTJLOkKtDNq25n0G2mVKwwvXeMwW5gr0ZbFgVYVzHOkqUSZ90WZvbSePSNXIzNIEHt1B6jjulgmnSxgtus46B2ny8WHotGo9y8eZOhoSE6OjpecN8Xszs5lHYCLoIg3Da45HI5PvzhD5PNZvnGN76BzWZ7DUb65rU3LcAoinLbK59mgFEqjQnm6WsrvO2ePjLHOpK1yv72Fis7qhWwXifeEsqKxfNs7x7T3e0kJ5ysnRsWcOtIxBoThM2iY2u32jt+ZvyA8+cC5JoUjjtaLJoiTafdwOpmnEpF4SCY5sKoH6WpIdlQj4sZVQGmJMLqVpxEsoDdqufSkAdREtlR0bRb/RZWmryg2FGO5Y04na02nB4TkiwyqTqvySCxuK4V1RSEqoKAySBxacCN3iDx9FwD/KwmmcVNLTGiWEtGb+4n2dxPcnnER8lpwOMyETnO47AZmFaBR3eLVZO/8TqNzKkA1WnVM7cRp1CqsHWYxm03kMw21LF9dpmVjTg2vYDVJNMZsJAtifg7HQhileWVVPWLMZt1jLXbSaVSCEoFWTIy4FBIZYt0BixcX48TUo3tpE7mTKedWRW4HqYaIbl+v7XeVtlhlFmKpBl1mRCKFY6TeRZr4NPiNNap5oNeMyu1nIvTIGJQJJ7erJ5jT3XuZLn6DnVZDRylyw0tM1VCcNjx/CvscDjMzMwMp06dek0kTO6UUFq5XK4LdF66dOm2wCWfz/ORj3yEWCzGo48++rKbHf5zsDuOpvxSQmTAK/JimgHGbtdShQvZLEIpSX8t9OJ2auOpnW02jQqAxSzXvZOtrTixvQQ+lx3NrTQx4zrazFRUnNv1tRiHm3EuDLrrf2tu9tXbYdces3HEztpRFTRq12oW1hzuc9ULSI9TBaamgyRjWc72N67T5tWuaFt9ZpZrBY87B0lmZkPI5Qrn+1316/S1m8mqQltOm5751epEn82XmZwPkzjKMdRi5UJ/tSD0VI9TU2Ta3WrTFIcadCIr2wk295OMz4XY2kkglMpc7HNyrteJ1Sjjsmsnne4mrbWBDrumcLKvzVYHF4DOViflCiRzCgdHRQ6jKWbWj5hYiTKxEmV244gbS1FuLEXZC2f4zkyQiZUYywcFzFYbs9vHrB4kOYzniKqEPvtaLJoiTFFF1uj1WdhRhdmOi9Xn1m7Vc7HFhk+Bua04O0eZes4GIF5sPF+HqeqlnPdYGDSbuL5bfd86HQYiuROqs8B2Ms+gw8RmKF9nnwFE8o2xnnI+d/4lFAoxPT3NmTNnXhd9rJdS4Lm2tnbbWmnPZyfgUqlUuHjx4m2BS7FY5Kd+6qfY3d3lG9/4Bi6X61Ub31vJ3pQeDFRfktstXtrc1q6i8wXt5F8oljgMJYhEk1y9axixCfQcTR0cO9vtzC+rVuoWPU99d51Tw36OCwLBSIZjbY6dXFYb9untdDAzFyZ2dMjIsIdMBVabvIpmra/+bidTMyGOJg/p7rBjcRlZaiIN6JqkYYb7XCwsVz2C/h4HOqN8S9Fpm9fMgYoR19li5cZ0dZ3e4jPjcslEY9obGuh0cEPlrXQELCyqQl12qw6dUq3wX69Jubjthno9D8BIn4vJpUZgsa/Dzk1VewKv00gqkWOs30WuVCEYz2kASicLrKk8S50k1HvcAFiNMgsqUdFWj4kdlVfZ49GxEWt4s36XngOVdEtYVRfT47doWGsuqwFqdUc2k8yCqjWA266vh7eGPGackkiPXmbrIIVdJ9VbMvf5rUzWPBaXSWZNVWRaUhSGzXom14+41O2s/73NpicUq4JHn9OEySByYztFwKIjWqvgt+slgtnq2C84bXQ/R4L/8PCQubk5zp49i9/vv+Xz19peKJS2tbX1qoXSTvrWlMtlLl26dFtzSKlU4md+5mdYW1vjW9/6Fh6P57bG8s/B7jgP5sVMFEUEQbhtqnIqlWJ1Q5vwDke0k2WkJiJZKlf47rUFBLJ4VZX+zRpmuqaamY7Wahx2cSlE7DDK3ed8BJsYZamM9geSSjYmwoWlKA6DyPkBF3KteNJikllpqrtRC1lu7R6jqygMt9to8VTHajJKt9Tq6FUr67XNBFJZwW/V0d9eHfNzUaf9noaHcxjOEI9lyCfh8pAHh1WPKMB2U+dLv0s7iXW22Hh68pCNjQRdThNXT3sJRrUgG20iHqilWAB62mys7iQYnwsztxSl223CaZC52OviUr+bK6d8pFXhrdE+F3FV+Gi420FG5XW1ebUSOEZVclaWYFkFTv0tZo0KgEfl1Rp0IksqQB5ss9dbKQcsOmQFxrxmfAo4ZZHrqzG2ohkcJpllFZ28qPI+e3wWKgq4DRLf57MwvRlnofaMd1UMuJIq9OXWyzy9maRYUWhVLYK6a17fGYeFWKp8y4Jpf3+f+fl5zp8//4aAy3PZSSjt/Pnz3HvvvXUV41dS4HnScbNUKt02uJTLZT7+8Y8zNzfHN7/5zTvmed2p9qbzYOD2mWSRSIRnn50gcdyYhIxGiXC0MfnrdCIHh+oEuML1yQ0EUeT8SD8352OavAhANKb1APQq0cNctkQ6maanTU9J0bOzn6KtxcK+JoejENfO6aRTSVY2UrS1WHF4rBgMMtOqZP5zAU6pWGFuKYJOJ3L5jB90EjdmGtw2k1FiqakZmSyJTC9Uzzs67MHmNHJt8lBzL8tNzcB8HjvTi1Fu3Axi0Eu8/VILm+r+LSZZ470AVFRhrJ3DFAGvmcO9JINdDux2AxUBJlXeisdhZE41Vp0saCVrBDiMZtkLZ9it5Tp6Wm2UMyXavWY8TiNmvcT5XhepXJFwPMeuStnAqK/W8ZxYu9fMomq7yy2xHmssJMrlxkSml0WWVIB6utPBwsEx3S4jTpMOiwCjLhN70QxevcyzqtyVNa0Oq1mZqL0HZr3Esio8JokCV1xmZncS5Mz6ehiwzW5gr3YOUYDtZB6bTqJDL7ObKNQhSq04bTFIDOnMXNtM8WPDPs33srOzw8rKChcuXMDtdnMn2kthpZ3kbZ6PlVapVLh58yaFQuEVgcsv/uIvcv36dR5//HFaWlpejdt7S9sdBzAvJXF/O0yyra0tlpeXsTk6UJSl+t9b/VZWN1V6Vy121rbCmu2dg+pk+d1n57g61s/BvloiRiEWb5Lab5LRVxSFpZUQsixy+WIPoiRrAKanw8HmVmPyFAU4CFVDKvuHKfYPU1y+4MXvNhKqhXT6u51MqxPoFh3LtaR7sVhhfOqQi2f8jA17mV6LUiwpDPe6mJrVHrO42pjU55aijA55OdPlpKBUWNk55nS/m5sqmrHVLGvCcPlCmUgky/ZmgqFeJ0aLHp1eYny2Ue3f7rewqAIpSaw2e1MUWK3d9+igmwG/FafTwEEsS6vfwo35RnhqtN+tCZ+N9LqYVwljDnY56kWhe6E0FpOsIQec6XexcZCi02HEatbR4jFVe8wI1b6eNqset9VAoVgklcliMxsYNkgIgCyLiJLAqKFMpVRCEotk8gVabRKlioSSLVI8LrCdKFDxmrmpGldPW8NjbHcb2VR5QTkV6A4GrNwMp+m0GWg1SMxvxknVvK2CystqdValZAB6XUaMBpFIJMd8JIdobXh8EZUgpk4UeHY7Q0lROK3yRre2tlhfX+fSpUs4nU7eDHY7obQTz+UEXG5HuqVSqfDII4/wxBNP8E//9E+0t7e/Bnf31rM7DmBeir2cav5KpcLi4iKHh4dcvnyZZye14TF7U9LY6TTCVmPb67XUAQYglUoSTcQY6GllbStPe6uNbVVrXqtFx/au1h3ZrX1eKlV4+vo6d1/u4Mywm7ml6gTocZk0ANPf62RpTcUEk2B6LkyppNDfa2UvqlBskqUZ6K3mY07MYdMzPReiXFbwec2099lvIQ0M9bqYVHk4bqeRhZUo5drEN9zvwtAU6h7udWnAI+A1s1DzNE6IAad6XYwNe9iPZTkIZwh4tfUzZwY8TKu8lYDXxPzaUZXAsF31VsyiyNiAh1ypzOr+MbFjrdJCM0/P1DRQY5N+m6JAJleqkwwy+XK986hBJ6IzSHVdszaPgZurjQXA2LCH8WVVlX+3k/XQMVDGYRbZOsrXPQefU19P6Bt0Issqz67VbWY3VSuuNEos1zxhWQSnQea0Wcfi7jGODnsdXCRRYP2oAUonYCMLAl1mPU+uH1GqKAz7LSzX8iw2vch+uupxdVsNTO6lydbCuiPuahhwY2ODzc1NLl269KZmP70YK83tdpPP56lUKly5cuW2weXf//t/zze+8Q0ef/xxuru7X4M7eWvamy4HAy/dgzmR3I7FYtx99904HA529w/p73XW95GblIubc4d6XfPEJZFM5Zic36C9TaCjXctA625ierUGrJoQnCQJTM3uMT61ynCfmdaA5ZYiTptN+yMY6veQy1colRWWVpMYhQK5TAJBFX/P524lAJwARTiSYXcrTjqW4fyQu85uOz7WCl32djrqxwAkjnNcv3FIm0PmwpAHSRIINeVNOlqsmjzGcK+TxbUY4zeDHOwcc6bbgaRoASDXRFboCFg1z+zMoIfV7QQTsyHmF6P0eS2YqMq5DHU66Gm1sqCiO/ucBuZVITmv08i8ymNq85pZUJEBBjvtmrbWI32uOrgAtDS1SwjFG99Pi9uoyc0Mdrk1vL01VXh1oNWiact8qJJqGWixMuQ2Mea1YC9WGF+NslgLuxlVwquDAQvpWlGtJAqsJXIMuox0iBBO5OudNh2WxjvT4zSiAIMOE/lkmWjt3vSiQJ/TwOrqKltbW1y+fPlNDS7N1sxKu3LlCtlslnQ6TTqdZmJi4mWz0iqVCp/+9Kf52te+xje/+U36+vpe47uAJ554gve///20tbUhCAJf+9rXXvSYxx9/nEuXLmEwGBgYGOCLX/ziaz7Ol2J3HMC8lBDZS8nBpNNprl27hiiKXL16FaPRSLlcZnphk+vTz3D2jA2TUSZXKGqOyzQpJKcy2sk/Eo3X/72wskc8EeLCWRfmWkLa2KTK3BLQ1hz097jI1BLRN+d2iR9FMJtLmM2NCbiZEGBsWp23tzpZWUvitQv0dRgwGwWW1qKafZJNwo/dnXZ295PcvHlIu9PA3ef8rDdV6geblAesxuozPgjmuDkdZLTLid9pxF6bzGRJuOUchibpGINO4vrkAUq+xIUBF1fOeFlTMbkMevEWJYLmvjx6ncTSRpzxmRArKzF8VgODASuXB92c7XPR3+HQUJV72m2a7VafNplvNmkBPJJogKZBp83N9LfZ2FF9Hx1+LaAeqJheQx12VKQzUiqmYLvLQCZX5GKrlYs+C5VsicWNOJMbR7S6zaRV5INtFaXZqiI6DHhMnLYZWFs/YjeaYTPeuHZGBdBWvcSI08ziZhKHqnncgMvE5toae3t7XL58+S1dFKgoCpubmwiCwDve8Q7e9a530dnZSSqV4saNG3znO99hYWGBcDj8vHOJoij89m//Nn/+53/ON7/5TYaGhl6XsafTac6fP8/nP//5l7T/xsYG999/P+9+97uZmprik5/8JD/7sz/LN77xjdd4pC9ub9oQ2QsBTDQaZWpqivb2doaGhqhUKvX9t3ajVCoK//TUdTrafOh1ds2xwbA2Yb9/oJ1A48daANoPJtg72MbrtnH+TA+JhFYks9xU/2Jvojh3dTh4enwTl8PE2TOtRKJFdva0JIPNprqdEzsIpjkIpvm+uzsJR3Osb1cnQrtVZLUpMR9WJZB395ME/GZanHr8ARuzy1F6Oh2sbTTuVUAhmtCu8kQRJiYPMRgkLg17MZhkrt1shNhcDgPzK1oSQbQ2WebyZabmwlw848cqSfT1O8gWK5jNOiZU5IX+Ljtr24379ziNzKlyKWajxPxarB7u08kCZoset1GmxWfGYtYhKtDTYuWglgtbUhXJOqx6Te6m3WNgJ9yY0E/3uJhUFZDaVY3DBAG2VRX4A+02VlWgbFFN5lajhKwzcc4PxXwBoZJjL1QhFspg0ouUVfRxk2pR0uU1s6VivoWyRYyyyFmPGbmi8HQtHNnrtbBa208QYFNV82IUBJ5Zq4pi6lSA3yYVCQZjXL58+S0tZ1KpVJidnSWdTjM2NlZXNH4pBZ4ejweTyYSiKHzmM5/hf/7P/8m3vvUtTp8+/bqN/4d/+If54R/+4Ze8/xe+8AV6e3v5/d//fQBOnz7Nk08+yX/+z/+Z9773va/VMF+S3ZEAIwjCC7qwLwQw29vbLC0tcfr0adrb2ymXy1QqlTq9eXOnkds4CEYIhiJcPDtMKqknlS4SjjZCJ163mVC0MTm5nSYiKsaY025irwZAkViSZGqe/p4Ag32uOsNrezeuGd9RQhuWkmohuqNElmcn1vm+q904bA7ml6vn7et2srqhYlPpRFbWtd5KLJZhaSXM6SEfFUXGbjUwNdOYtP1evUZyBhS2dxOEIhn2DpIEfBY6AhZ295L1mqDhASeLK42xW8wyiyvV6+bzZSang5zqdzPYYsNi0zO3EaO/08GN6QbgDPY4NQoBFpPM0mqMTK7EZC1fNDLo5sKAm2JFYWUngbWpzUBPu43xucYzO9Xv1gDSyICnXitzdJzn/LCXm8vVcwsC3HUuQDxZxBSwIskCVrOeg6Ms6VyJo+McRoN2AZBUFSSa9JJGNflUl4OF3cb377LpaSuUsZtkTDoJnQLnW63EkwV8TiPjqrBde4uVExHMVqfIugq8t1SkEL/DWAcYn0WH3yiTCmUYD0UY7GoshlxWPdT263Gb2CyUkEWBi3Yj11bjdfHPpKpY069kuHz5MibTiwtdvllNURTm5uZIpVJcvnz5OeXyX4iV9hu/8RtMT0/j8XiYmZnh8ccf5+zZs2/Anbx0u3btGvfdd5/mb+9973v55Cc/+cYMSGV3JMC8mMmyfEuSv1KpsLS0xP7+PmNjY7hcrlvApVAscRCM149pb3GxvRfh2cl5DHqZ+955F+NT+XoIqyVg1QBMR5tDAzBdHU7i840VbF+3h7mlXQAun+9HlkzcnDuof2616Fjf0oJDMwDFjjLMLR4yPOBHpzPhaGpiNtTvYW6hMYnbbQaWa+GxhVqx5z2XO+jttrKxVQVLr8dIULVK7+mysrHduI+jeJZnb+wgotDfYSQcB1nSvhrDfS4mVCSC1oCFpdVYPVzksOvRKdDZamWnlkuwNNWxDPe7NecY6HZqPJ4WnxmlUOLisIfdYJqjZP4W5Wh1QzRoaKidWEbFnlIUCEazbJwUkgrQ4rNwWPPm9DIclmSsgoDZKNPut5DMlRj2WRBFAb/bRDiRo1JRqFQUXAaZdouObL5EvlhmcTVGMltiHzjb72JS5WlZVa0POrxmdlTjttntkKgCV4td4kClCBDNFvBadPTajciKwtM1kVKTXmJddY6MKgTotRnIZATshTKhaLae0JcE2FFJ+r/nwql/FuCSTCY1nssLWTMrrb29nUceeYR/+Id/QK/X84EPfIAHHniAn/iJn+Ad73jH63AXL98ODw8JBLRq8IFAoN7i+o38zu+4HMxLsWYP5qTFaTQa5Z577sHpdN4CLgBbO1FNMtnjaoQJ8oUS0aMQxXKIS+f8yLJIsaidzAxNzCSTUTuB2lVgcOPmGhUlwfmzbtw1aY7ebpcmid7V7tAQAEwmmZX1KkgsrYaYXdhCUTL0dDVi5XqdNkc10OuipNIja2ux8d1nN1lc2WOgz0h/j41wRJvTkCWtdzjQ5yCVLpJKl1heS6EXK8hCmfaWxvOJNRVBtjXlItpbbTx9fZ/djQT9LVaunPGxtdcEDhEtQcBi0T6/9hYr0/MRJm8GCR+muHLKS1+LlTN9LiwmmeFeJzuq5HxPu01TG9PVatX0r+ntsDXABTjd46yDC8BIv5t0tkQqUyQUyyJKIqs7xyxvJ1jcjHMYzbCwEWdpK8F+OM3EcpT9SIajZIH+dkeV5lwztdKxw6LTEAFaVFI8OllkRaUU3eGvJtkFFPpsIkoyydF+kvGFMMls45n3BSz1hL4ooMm/WCSBXCjN6kEKj63BiuxwGjVgczbg5K1qiqIwPz9PIpFgbGzstnTMFEXh61//Ok888QTf/va3icVi/K//9b/Q6/VMTEy8BqN+69sd6cG8lBBZsVhd9WUyGcbHxzGZTNx1110aAoAaXABNeAzA2AQQiqIQPTrm8WvX8XvsGA1WRFGog1IqrQ1vJZu2U2ntJJwvlJicWcBs0nPp3NAt8hYBn5Wt3UYYZbDXw9Tsfn27tcXGd69vAHD+TDv5vMRaU24lm9fmhFoDFnb3q/vMLQYZHvBgtQq4XA6WVhIYDBJ7Qe04E4mm5mRtNm5M7SMIcHrIh8Nh5vrUISfUYEkSWG9KzKurw9c3EzjtBjLRLGcHPSCLlBSFBZW34rDpWViJqo6/tRdOJJath9gkUcDT72JsyEO+XGEnlMblMLKpKnj0ukwadljV+2tsy02yOclMAyAkSWRNBQptXjPLqtzNULdT46EoqlOZDZKWGNBu18j/H6pYgkPtNuZqYxRQkICxgJX1/WMcRiNTtWsKAmyoCkNFsbGIOMm/2A0SgxY9M2tHHNfATlEBnUkocvKdXfBZMchvyvXki9oJuMTj8VcELl/84hf5rd/6Lb7+9a/ztre9DYAf/MEf5Ad/8Adf7SG/qtbS0kIwGNT8LRgMYrfb33CP9U35xp3UwcRiMa5du4bX662L1p2AiyAItzDStpoAptykRHycbPygQ9FjVja38XrKnBsJVBO8KjAQRdjYjj7vNsDmTnU7ky3w5DOzHIQOGDsfqIeOkk2A1DwBdrQ2Yu435/YQxRytrTLdnVUard1mYHlVe83DkHaStlj0LKyEmJ7fpr1N4spFHzlVGMlmkdg71Ho4m9vV56QoML8UppDL4XNKXDzjxm7VMTLo0fSTcbuMGrAAhYPDFIVihdn5MLPTQSySwMVBN2cG3EiSwECPs97TBmBk0ENINaF2tds0+RuHw8AzU4eMTweZnQtTzhSJhNKc76vW3JzqcbClAiirSdYUd7rseo3qcnerlTUVKIz0u4ir2Gutfm0SPJ1vgJHNLGuIA8PdznqTNkBDTW73mtlReU12s45LbTbOe810G3U8MxtiYiVKPF0EFTj0+C2o8I9QqrGYMckVzntNyPEcB+E0MZU8Tkj1b8TqwuiU00SPcGd3lLxdUxSFhYUFjo6OGBsbu61GX4qi8Kd/+qd86lOf4mtf+xrvfOc7X4ORvnZ2zz338Nhjj2n+9uijj3LPPfe8QSNq2JsWYE76hA8ODnLq1CkURXlez+XEmj2YRFIbAtvZb0ySNpuRg2Cctc19vnt9nIE+A/09LsTaJNDT4Sar+jH3dLpJZxoTVHeHi6O4Knnrs7G0esh3npmjWE5w5WKA/UNtCGlzR+udJJv61pvNeqZmd1lc22Fo0MzoiFsTHutqt7OjKvqUJYGV9cY9r2/FOAzHcTpg9JQdnQ66OmyaUFdft5NIrKg6BywshzgIprg+sUs6mcJmERnsdWiOUYf+Tg14OFAVVjodBqbnwkzNhJifDWEVBXQVhbMDbgz66itYrmg9Vm+Tlllvh11zjaE+Fzv7SW7Ohxm/GcQsScSCKQIWPaNdDi6f8jLc6aCvzYbVKOO1awWtm8+vXmsIAmypPKGA28iKCowGu5waxea86t8um56VGtDZTTJ9AQuXOx2cD1hpkUWWVmJMLkSYXjvSqnQLsKliqLkdjc+cZplg7VXtsusoJ7LMLFZBSX0Km1FmT+UtlQ0mzrrNrCzF6PNoFbPfCqYoCouLi8RiVWbc7YLLl7/8ZR555BG+/OUv8/3f//2vwUhfnqVSKaamppiamgKqNOSpqSm2t7cB+LVf+zU++tGP1vf/+Mc/zvr6Or/6q7/K4uIif/iHf8hf/uVf8su//MtvxPA1dseGyJ7PFEUhHA7XWSJut/s58y3PZc0Ac6hK+LucJo5Uce3OVjdzx3v1bVGo8OSzE/R2tdDR1o5OllnfbpzP67awttnY9nmtbGw32E5d7S6C4eokFU9kODqOk8kdMXa+h5X1OB6XWXO83WZgeb1xPChsqjykm3N7nDlVoq/HiE42srQax+c1s7nTCOOcGvIxs9DQFXM5TCyuVKv7D0NJrBYdVquM120kUpOgcTq04YXTQ15m5huJebNJ4jvXNlEU6Giz0xqwE22SxlFrsQH09zgZV9GZ29tsPDNeJT8YDRJ3jfoolaudLGOJPGaTzKJKh0wUYKtJ8bk52R9L5KpJ/UiGYCRDd4ddc0zWYKTXbcJm0WMwSkjAxQE3+WKFCgrx4xwOi45MvsRgp4N5lbJCR4uNoMpjS+VKVeaYXsZh0SEpCpe6nUhCldiwH8kQOsqRiGTZNerYqIHVYIddk38pqACzr8XKusqDS6rqYrr9FhzFCraKwsJmHKOK6q4O1XnNAif4IosCLp3M+GyYigKn/G8tWvIJuESj0dv2XAC+9rWv8Qu/8At86Utf4od+6Ide5VHent24cYN3v/vd9e1HHnkEgJ/8yZ/ki1/8IgcHB3WwAejt7eXv/u7v+OVf/mX+y3/5L3R0dPA//sf/eMMpynCHAszzWalU4ubNm6RSKSwWy8sCF4DNncaE7XKaOYo3fuxuu1EDMHabdsV3Er7a2D5kY/uQe992hrHzbcwvhcnmihSKWtp0sdjEcmvKKZkMOo6TWZ58dgGL2cCl8z6O4ilitbqRgV4P49O79f0H+rysrDXGb7MZWFoJ1nudDPR6EcQyothYqUtNKgX9vW5uTDVA0++z8sS1NSRJ4OzpNsplkaWmkFuxSTm6vc3KUaI6+e/uH2PQK2zsHDMyHECSdITCOeaXtefYa1JaVgsx5vJlKiWFyZtBBKGqJtDT42AvlGZt95hyWWFkyMOsSodssNfJigoA+rocmoLP/i4Ha6oQVm+HmY29DFB9tudPe7mh0mQbG/WxpJKCMQLmSgVJEpElgaNIBpsoUC4rOO16Vmutj5NAx4iPCVU75+FeJyu1a/tdxjq4QK3NQw1nDTqRFbWkv81QBxiTXmKtVtw5HLBgFwSm12KgQE/AyoaK6p5FB9RkZSgDMgIKZ8wKN2bCdZWBUwGtOsGb2RRFYWlpiUgk8opo11//+tf5uZ/7Of7P//k/PPDAA6/yKG/f7r333hfMQT9Xlf69997L5OTkaziq27M3TYgsk8nw9NNPU6lUGB4eBqh3tnwp4FKpVNjebUwErX6n5nOvV6sk21xnk0hqV+mrmwd8+9oExVKMyxdaiTcVWG5sa72lk3zMie0exOv/TmfyrG0cEImHOT/qprXFekuBptuh/REN9no1k7+iVPjO04s4HQoXz3lxOQ0sroY1x6g9Nqh6NNV7VZia3UOSSjjsChdGPRiNEi1+C0srjfsQBDR0ZwCFMuWywsz8IVMzO7S1SIwM2xnoswMKp4fcHKqKEb1uIwsqsJBlgdVa4aOiwOZ2go31OCuLUYxlhTPdTjxWAz1ttrrEjbmJ/tzcn8dm03phzYuFfBNoHqhCU2ajxPz6Edl8mVSmiNtpYn33mGS6SCZXotVbldE/sbSqgZrTpmdV5TV1tmgndXXV/0C7XZO3iavCrQMtVs632ejWy6wsRlnfT3KCFB6Vdp7NKGuq/kuyDqdR5pReopxT6uDiMQocBfdIp7VKDW9GUxSF5eVlwuHwKwKXf/iHf+BjH/sYf/Inf8LDDz/8Ko/ye3ZidyTANIPF0dER165dw+12c+nSJUwmE5lMhvn5eaLR6EvSFdoPxjVehqlJ0qXZw4ioGmoJAmyqwl1Ou5nd/eqKN36cZnVjk+X1Jc6P+ujpdNPd4dIATneHm2is8eNua3GwpwIYp93EykaIQqHEMxNr7AcPqChZBnobXfJ2mxQFik0ek9ddncwOQsc8Pb5GZ4eRkSEnfm/1B+j3GNk9aIxBloRb+uIUCmU2tmM8O7lJpZJheMCu0Vo7PeTTUI1dTiNbu1rgXduIMH5zj4XlA5wOBY9bR3dng2bd3eXQ5FtGhn0kVHmD/h5nvSg0ky0RjWb4zlM7bK3HsYpiVUEAgeFuBwa9WG0NsNbIXVlMskYh2mbV1cU4AfxeE0uqSv6BLgf7KgAc7nOTVyXpHU1iqBGV9+B2GFhR0aT72u2aeztW0ZjbfWb2VCEwg+r9s5tl9o9ynOuwcz5gwVRSmJwJsRNM4XEY2FeBSEF1/i6fWaODZjOb0B9lWdo+xmhuTLxDXlOdEPPUU0+xsrJCPB5/VbtEvh6mKAorKysEg0HGxsZuG1y+9a1v8dGPfpQ/+qM/4kMf+tCrPMrvmdru+BDZ3t4e8/PzDA0N0dXVRblcxmq1cvHixbrUQ6lUwufz4ff78Xg8z9ntLp3J4/PYCEerK8x0Whu2OYqresLIEjt7jUmqu8PLxnYjD9HT5WNqtiG53NbiYmc/ynefnQHgvfdexGZtY3bxgEpFIeC3s6nynjpaXewfqtWTvdyYapxvqM/PsxPrAJwaaCEQ8PDseCNcZjHrWVjR0hK3drUSLfl8ien5bSRJoK/LidOmJxRVSaIM+ZmebxSB+jwWFlYa95jOFJie3ycYTjHY58VhtyAKTbmVXhfXJ/dU5/SysNwArVyuwLefWqdSgYDPTFeHm3xeGzrM5rQ0a5tV6410tNsJRqoTcypdRFTgei1/I0kCV660VRWSRYF4qoDZJDC7qkrI97iYmGvcV2ebndCRKtTYdD21RyJJgoZp1hmwsKUK9/W22xlXhQPV7DGXTa/pptnqMbOnAortaIY2l5FWuxGbXuKZhTAzNWJER3sDkDt9FiIqde5tVe7JUNOo04twpcXKM3PhOsDFVOB2scfHpUs9lEolotEo4XCYyclJRFHE6/Xi9/tfUZfI18MURWF1dbWuim423x5p4YknnuDDH/4wn/vc5/iJn/iJl6R9+D27fbtjAebEFd7Z2eHixYt4PJ56SEwQBNxuN263m6GhIY6PjwmFQiwvL1MoFOo/Gq/XW28sNNzfytS3/t/8zd8/xf/9xgTxZBmoToaCQN0jAejq8LC60ZjA/V67BmDMpheuEI7E4oxPb9DZ5qWvu4Nik+pAoSk/ozQxqEzGxvkXVw9xOow47BV6u1pYWj1iuN/H+PROfZ/BXi8rG43x2W1GFparyf1yWWFl44gWf5H2Vj0+r5PF5RjNv6ueLichVWfP00N+5peq51xZj+B0pKmUy5w94yebrbC6HmfvQMuC0+ubqv8HA9yYqtb1BMMZDPoK23s5PC4jPV0eJEnH9Jyq14xFp6E7S5LA+pbWcztUCU+Wywp7B0k2VfmWFr+eNocer8eC3iChkwW622wEoxnyxUpdZQBOhDYb3o/fY2JFJcQ53OtiTuXtBLxmdlThtGOVMKrDqtMwzXrb7Yyr6mbShRKDAQsOg4xBL7Kyl+QwluOQBBdOecjVkvoeh0HTGE1Q5dE6PCZ2VA3LgokUA3aJdKRIJlmsg4tOFustA6CRf5FlmUAgQCAQoFKpEI/HCYfDLC0tkc/n8Xg8+Hw+fD7fS6qCf73sBFz29/dfEbg89dRTfOhDH+L3fu/3+NjHPvY9cHkd7I4EmHK5zOTkJKlUirvvvhuLxaIBF/WLIQgCDocDh8PBwMAAqVSKUCjE+vo6c3NzuN1uAoEAHo+HlZUVvA6Fz/3uT2Oz2Zic2eLvvjnFjZsbPH1jtX5Oj8uqAZjm9zCZ0uYhDoJaevF6DYx29iPsB6M4HVYunu3iOFliayfGynoDDERRYHVTmyvZ2m1q6RxNcRBMcBBMYDHrsdkCdLbZ2dmvTmgulwk2GvsP9fu4MaUCoD4fy2vV+1nfitDWYkeWS7S32tg7qHp0+4dalpahCSwGet1cn9zhxlSVvXLlQmetHqlMKJLBaTfWAenEdve1AGQxW4Ac0aMc0aM9hvttiGKOwX4PelmP0aTn2fEG621k2MuMqtnZUL+LZVU4rKfLwaYqROXz6DgMF4EiB8EMvd0ONlTCmRdGfaSyRVp7neh0EhabnlgiT65QJpUt0tVuI6wKgUlNdUl7KnDxuYwaD6W/w85uOIPNpMOsl7DpRC53O8jmShQKZVaXonWF58sjPsIxlTejOm9nwEpURVhQh8d8rgbAuAwKlqLCynp1DO0q1e5Oj5k1lWDm6edI8IuiqFmkpdNpQqEQu7u7LCws4HA46mDzRgpjKorC2tpaHVxudyzXr1/ngx/8IL/zO7/Dz//8z38PXF4nuyMBJhwOUyqVuHr1Kjqd7iUzxQRBwGazYbPZ6O/vr/9otra2mJubQ5Ik+vr66pW+F892c/FstXnQwvIeX390ir/75pRG9gO04TNBQOPNuF0WtlXhtN4un4aePNjXxuLKHk/F5gB4x90jKIqOucVDcvkSg31+Flcaoaq+Li9rW43z+302VlXeiaLA408tkM+XOHu6A4PeyHZTeOy4qb7H6dBSONtbnVy7UQ3BnR5qIeBz8sx4Q0HAZtUzv6QNwYWaVKbLlQrXp3YQBBge8NPV7ubG1CHFWuJ6ZMjH/HLjOfi8Zk27Zr1OZO8wRyZbYma+eq22FjMdbXq8HhvpdElT4wO35s3cLgObjcgh7a1OwrEGIFXvuwECCtQJBQCnBj0sqLwMoVyBbAmzQcblNBIPZehyGJElAa/HxNFxgX6PGUVRaGu1Iu8ck8uXyOZK5I4LhPaShKjlgZQGA+/CKS+lcsNzSqg8n66AhS015Vr17vmdRg5VgFcBWu16zLkspRysqPJh8ayWbHAihGk3yrQ7X5jCq9bj6uvrI5fLEYlECIVCrK6uYjab62DjcDhe18l5fX2dvb09xsbGbhtcJicneeihh/j0pz/NJz7xie+By+todyTAtLa24na7X1Lx5AuZxWLB7/ezt7eHx+PB5XLVfzROpxO/34/f78doNHJ6qJ3TQ+38yi/cz/pWiK//4xR/9+gkc0t7GnpzT6cWQLo7vERVApgBv0Pzudup/VGUygWeuj6Lw27m8vkBTGYTiyuNz30+qwZgejo9BEONFe3poVbGb1bzNTMLuwwPBMjm04xdaGVzK0Glgqa4UhKFur7ZiR2rpN0Xlg+xmHXodXnOjrQSieQJ+O0aOnN/r4fVdW3eYm6xCgqKAosrIVLpPMl0itNDAfQ6HaKojed3dzo1BIGRYT9Tsw1vpafLxuZ2EsiwsR3H6zaQyZYZ6ndjMRtJZ8osqcDAaJBYUnkzep3I2lYDTAx6kZVbkv+N4z0uE0sqOZfeLgcbNY8kkysx6DJxc7HxHN0uI6uqpmWSTqrrmlnNMsuqzwa6HNxUXbusSqZbTXKVFVYzn9ukAZgdVUO3Np+ZYM1D6/NZEDMFQusJFAXGTnnZTlWvIUsiO0fPDVLDt1H/YjQa6ejooKOjQ5O3mZqaQhCE1y1vs76+zs7ODpcvX8ZqvT2a9czMDB/4wAf41V/9VR555JHvgcvrbHckwKj7t0AVXG7HYrEYN2/epKOjg4GBAQRBoLe3l1wuRygUqudt7HY7fr+fQCCAyWSir9vPv/lX7+Hf/Kv3sLsf4+++OcnX/3GS61PrBHxaAGkOJRWbujUmjrUsq3BNnTlxnOGJZ6YZ6A3Q12PGYbMzvxwhGtOSD9JNcjLN5nSYWVw9IBg+RpJEzo8E8HpcrKzHAIGR4Ram5xtg0Raws7TaADCdTmJpNchxMscz41WvJuA3cPGcn+XVGOlMCWcTk+rUoJ/rkw3XYbjfW2/xPD23j8tppFAsMzLsRZJ0rG8m2FLlNuDW5L7LYWUT1cTrMbKwkmBusTrWC2f8KJUcw/0uzGYDJqPMdVXx5ukhLzdVMv7Dgx6m5xsAMdjvYkr1eXennYhK2dnlNLDReEza+h8BtvYb34vPbWJNlXjv73Iypa79UU3wOlnUEAX6OxzcVEnWpFXvS4ffzK6qNbROFhnrcnAUSpPaT7Kh6lpaUoFWp9/MuoqJd6TyZs62vrKmYm9U3mZjY4Pt7e1XBC7z8/M88MAD/OIv/iKf+tSnvgcub4DdkQDzMz/zM6ytrfHQQw/xgQ98gPb29pf9cuzu7rK0tMSpU6dob2/XfGY0Gunq6qKrq4tCoVAHm9XVVaxWax1sLBYLHW1ufv6jP8DPf/QHCIYTPP7dBXQ6iWs3ViiVKkSPtICwrgqfmUx6VtYbq3S306LJ7fg8ds12T4cXm02gt8vFxvYRdpuJxdVG+MyglzThNICNrcakWS5XSKbKrGxs0t7iorvTh65Jdr+zw8V+sDHhnRluYXKmka/panfx1PUq0BgNMhfPdlIsFhAE6pIy0SMtaFqsWgAa6PXy7OQ2k7PVGfvCaCuKItLa4mF98xiH3agp6Kwm9xv3IYoQjjY1djs8Jp0p1gGnvcVIIZuns8OBx23BapHoarOyd5iiXIFCQRteSzV1KlXrnkmSwIa6KZlNz5IKBAa6nVrV5nYb4QWVJIuKpCE1AcpAt4MFFVFBVCXtDTqRNZU3E/CYSZYU+vwWytkSO2tHBGveTU9ARl2CdKDKzbjsBk5K+GVJYCeRq/aG8ZoZsLx6k/5z5W3C4fCrnrfZ2Nhga2uLsbGx2waXpaUlHnjgAX72Z3+W3/qt3/oeuLxBdkcCzO/8zu/wla98hb/6q7/iU5/6FJcvX+bBBx/kwQcfpLu7+0WlZFZWVtjf3+fixYu43e7n3RdAr9fXwwHFYpFwOEwoFGJjYwOTyVQHG6vVSsDn4Mcfupsff+huYvEU3/jWNH//2BSb22EKxdIt+ZehvhZuzjUkHfp7A0QnGxNKX0+g7tEABPxOnrq+CMBAbwvDfe08O7HFcU2T7PRQG1OzDTAYHmxhcaWRO2nx2+tssr3DI2LxFDpZYuRUAFHQsbAUYnc/rrn/SlNBZ2uLg+296uSay5colUvcmNrC57XR3+1HUSQmZxqgaTHrbsnX7Ae1zK9KhboXJUsi50f78XkNHB5mOAxnGB7wMX6zcR9nhv3MLKj6xvS4WVMJX7qdOvYOqxPs5nacTLZAOFqVitHrJEZP+ZAlhYsjHjK5EqWKwqrq+J5OOxuqxmHD/S7mVSGt/i6npqlZcxfShIrJZTRILKuS8kNdDhZU2yZ1iwcBNlVSMf2ddtaDaU532LHoJeRihdRBiqm9JH63kZBKfNNitUAtF+i26QmqczOq30OXx0xKEHDmy0xMHvKr7xngtbDmPioneZtwOMza2homk+m28jabm5t1cLndls5ra2v1Hi6/8zu/8z1weQPtjgSYjo4OPvnJT/JLv/RLHBwc8Nd//df81V/9Fb/5m7/JuXPn6mBzEvY6sXK5zMzMDOl0mitXrrzsVZROp6u3VS2VSvVE5/Xr19Hr9QQCAfx+P3a7HbfTyod/5G18+EfeRjKV5R8fn2FiZoP/8+UnyWSrE4PZpF3ZN7/mzXIyavry6sYhDpuJ43SMc2d6qJRFdLI23m1v8hx6Or0chlQKwcNtjN/cYnKmmrO5MNqF2agHFPYOjnE5TcwtNjwiURRY39Qy2E7uJRxJEo4kuetSD+1telp8TrZ3k3R3ergxpQqXDXhZVIXgPG6zFoAEmJzZ5ahWiNrd4UJvUBjqd7K2kaBcUWgu/7PbtUnqloCFWDxe37ZZIBQ5eYZldLLIjanGfV2+0IpFVvB7LdjtBlwuM3azrtbVsoBer32ux+nGxC6IApsqtpjXbWJN5c0MdjuZVuV2TE0qA7sqWvVQpx1RlugLWFHKFYw6ieJRlsVIBlEUMFv19dYQbX4roWTjvIl846m0+y1EVWMKqxhj7XYDNxcirKaLSKLAwCsMkb1Ueyl5G5/P97x1agBbW1tsbGy8InDZ3NzkgQce4OGHH+b3fu/3bju8/j17dUxQ3iTlvIqiEIlE6mDzrW99i1OnTtXBxmg08vGPf5xf+ZVf4d5770Wn0734SV+ilctlotEooVCIcDiMJEl1z8bpdGpALpMt8K3vzPL1RydZXjtgZqHhcXjclnpHTJ0sYTDo6j1mjAYdCNSl9I0GHYIgkM0V6vu3t7pob/USDGXY2YvjsOuJq2Lvfd0+1lUhs/NnOrk517j+XZd66nmWU4Ot9HW18PT4NunahDp6uo3ZBVU/moCdg2CiXvGt10kYjbo6SUAQBO653EelIrC+nSAez3PxXBsTKg21uy518uxEYwwXRts0PW/6uz2sb1W9B6tFz+ipFhRE9g5ShMJZTEYZUZDqXUZFERx2I0cnISIB/F4roVrCXaDKLovFi7Uxgt9nIVSjAkuigMNmqreuNholZEnGaJSx2/R43CZKtf0QBIwmmVSmWmNSrii43SZCsSwKCijVc0fjOSRRQBIFzGZdlUmnKBj0EvFkgUQyT+Qox+iwh/GFxvfT0W5np+bR9HVUvZkTOzPgYG6r+q7YzDLJSiNEOTbi5UaNoGAxyqRlgW63GVOmhNUk11s197VY+ZtP38sbaeq8TTgcft68zfb2Nmtra4yNjWG321/krM9tu7u7vPe97+U973kP/+2//bfvgcsdYHekB/NcJggCPp+Pn/u5n+Nf/at/xdHREX/7t3/LV7/6VT7zmc9QqVTo7+/H6XS+6syWE0Dx+/1UKhVisRihUIibN2/WxxUIBHC5XJhNeh54zyUeeM8lCoUS3762wNf/cZLFlT3GZ9br5xwebGNWBT6nB9uZnN1sbA+1MznT2B4ZbmdqdrNOkR4dbkGvN1NRBI6TObra3RpwcdjNzC81JnJJElhebYS2FlcOKBbLpLMJzp7ppFIW0eu0z62r3cX+Yby+PXqqjQlVvqan081T19dq5xc5P9qJJJZx2A11+Rd1+wC4VeLG7TLXASaVLlCpKDw7Wb3v9lY7I0MBguE0O7slMlmFM6f8GnXn04M+TXHmQJ+L1Y3GNdtbDOwdNnJGpwa9zKu00IYHvEzPhUlnikRjWdwuE1MzDY/r4tkAN2cb1xsccLFSozrLssD+XpJ0Lb/T02lnek4lonkuwLzKu1F7Rm6nsQ4uUJXdQQUwe+HGZ12tNmZVIT21BE23z4xRFrl5M4iiQF9fQ15oqP32JupX015K3kan0xGLxV4RuBwcHHD//ffz7ne/mz/8wz/8HrjcIfam/BZOKvl/6qd+ip/5mZ/BYDDwwQ9+kJGREd73vvdx4cIFPv3pTzM+Pn5LjuGV2om8xsjICO985zs5e/YsoigyOzvLE088wdzcHOFwmEqlgl4v84PvOst/+Z2P8vd//u/5q//1CD/94XsJ+BzYLFodJYNB63HpdVrsNzZ9btAbmJhZJ3EcZfS0l6F+HzpVYeCpgRaKpcZkPnqqnaNEY6Lt7fSythkiny9xY2qD1Y09Nnf3GDvfQm93NW/VLNBZKGnBwe9thDHK5QqyBE9dXyEeP2Ko38477+kil2tMqi0+G/PLjcnbaJBZXNFSqHf2G+Cwd3DM6kaI6fk94sljWlpkHA6ZsyMe3E5D7blpn5PNqg2nOR1NNPGilpVXahK+jKoUtUVBYEOVT3E7jaypEvYDva46uEA1fKa2pOozq1lmXZX872rVJq8zKoaY3SwQzzQCC0ZV/Y8kCWyF07Q6jYy127EXK0xNVcFFkgR2VTTn4TsAYNR2krfp7e3l6tWrvP3tb8doNBKJRKhUKszOzt6WTlowGOT+++/n6tWr/PEf//HrKnnz+c9/np6eHoxGI1evXuXZZ5993n2/+MUv1gvFT/673TYDbxZ703gwz2U3b97kIx/5CP/7f//vuiJqKpXi7//+7/nqV7/K/fffj9vt5gMf+AAPPfQQV65ceVVfPvXqbHh4mEQiQTAYZHFxkWKxWNdH83q9SJLEO+8+zTvvPs3/5zc+zI2bG/ztN27wd49OsrMfZX0rqDqvwPK6NjeytLavufZOzbMoFEuM31yju/MYSc5zdqSTdKZ8i9qAJGnXEi1+Bxuq/jinh9p4ZmKdg1qC/p7L/YiChCDAQfCYFp+d+aXGmPQ6icVVbXL/pC9MqVxhbnEfo14mEosy1B/A5bBiNBg4VBVsnhluYWK6cV8jQ37mlxveQqvfwkaN3qwokErl+fZTq/XGY309bipKngtnPRwd5QlHcxp2mtEgsbGT0mxvqsQ5rRZJU1vT1mrVyM4M9rs0tTY93Q4mZtUsQS3oR+IN8LJZdKypwKm308GMqtBUUYVVZVlk40ClwtxqZ267sZ2otbYUBDjf7aBUrDC7ECaowLlT3sb4fRa2m9oz38l2Qgo4oSLfTt4mEonw/ve/n3PnzvHFL37xdQWXL33pSzzyyCN84Qtf4OrVq3z2s5/lve99L0tLS/j9/uc8xm63s7S0VN9+qxMQ3jQ5mOeznZ0dOjs7n/OzTCbDN77xDb761a/yd3/3d1gsFt7//vfz0EMPcc8999R1yl5tUxSFZDJJMBgkFAqRy+XqxWk+n++W607Pb/F//3GC//uPE6xuHDIy3MH8UiOPcWa4ndnFRmhqZKid+WVVIWRPgLXNxmTf4ncgSxI9XS0Ew2liR1mKxRK5fCMv4XU3hD8BhgdaWFKF0K5c6OX6VFV/Zri/hf6eFiamd4nVCvounetkQqWH1tftZX1L3TDNSC5folBoTI4+jw2zSU9rwMlRooBO1rOkailw8Ww7kzON+xrqtbG80RjjXRc7ua4qAL18oV1TEHrlYgfJVAGHzUS5ImA2Gbg+GaznLi6MBrip6gNzetDB4mrj/GfPuJhZjKvGE2BSBSinhj2NYk0B3C4T0VouyOs2EVE1JTs/4uOmqjbm4qiPSVXhpsttIlYDg8FuByuqOptLIz4mamE/nSzS2W7HZZTZ3ozT1WrVCGz6/RZCtTGcP+VlSgVqj/72D9DS1LnzTrHd3V2Wl5e5ePEiLpdL89lLzdvEYjHuv/9++vr6+NKXvvS666ddvXqVK1eu8Ad/8Af1cXd2dtbrbprti1/8Ip/85CeJqwgqb3V7U3swwPOCC4DZbObhhx/m4YcfJpfL8c1vfpO/+qu/4l/+y3+JLMu8//3v5+GHH+btb3/7q0oKEAQBu92O3W5nYGCAdDpNMBhkc3OTubk5PB5PHWz0ej3nRro5N9LN//PJh1lc2eOJawv82V9/l9nFKsiIgjaM47Brwz4Bn0MDMH3dAZ66vszuQXUy/P53jFLIV9jcPiIUTXHmVAezCw0A62x3acDFajHUrw2wtHbIcTJDMJJgZKgdu9VyS3sDr8eqAZjTgy08M7FZ3x493c5Mjaq8uROls91FNlvkwqiPckUkGMpo2GaiAOEjLcvuMKStOUoca720TKaoAazRUy0IQpbOdgdOhxmrVWRowEEkkiMWz1OqaF9/dd8aQRBYVxWH2m16VlS1Mf3dDlZVOmdd7XYiica1m+WG1PmWrlYrWyr9Mb2s/X6P0wXO9bqQFQWhXGFcRZlub2l89w6bvg4u0GiKB2A36+5YcNnb23tecIHnz9vs7e1x/fp1PvOZz/COd7yDb33rW/T29vIXf/EXrzu4FAoFxsfH+bVf+zXNuO+77z6uXbv2vMelUim6u7upVCpcunSJ//gf/yNnzpx5PYb8htibHmBeqhmNRh544AEeeOABisUi//RP/8RXv/pVfvqnf5pyucz999/PQw89xL333lvXKns1TF0voNZHO0lyulyuOoHAYDBwarCdU4Pt/NxH72N5bY//8f/7e27O7yEIQj0uvbalDU1tNbWCDoa1ifVw5JiZhW0EQeDMcAetPis7eyYSx1VvpKPVzc5eY/IcGW6vtwsArQc1u7hLi99B7CjFqcF2zCYT27txFlcONdcMRbTaZVLThNvW4uSZ8Y163527x3pw2AUkUSEaK9AScDOz0LjPwT4vqxuNEFN7m4OVddVK3mvRNFjzuMwsroYplxVWN6K43Rni8VydBtzT5SKfTzJyyopOltHrZY4SBRRFJJbI09FiYPug4ZH0dNqYXmpc32HX6pzlVBX5gijUZWeqz9eqoSv7POY6wFhNEqVCngu9DgRFIJctsrwQqY9z7Kw21BJUycq0+ywkVHmdpKoVwp0aHtvf32dpaYkLFy48J7g0W3O9TSQSYW5ujs997nNkMhnK5TKf/vSnefDBB7n77rtftxBZJBKhXC4TCAQ0fw8EAiwuLj7nMcPDw/zJn/wJ586dI5FI8J/+03/ibW97G3Nzc3R0dLwew37d7Z8NwKhNp9Pxnve8h/e85z18/vOf58knn+TLX/4yn/jEJ0in09x///08+OCD/MAP/MBtNzV6PrNYLPT29tLb20s2myUUCnF4eMjS0hIOh4NAIIDP5wMgEtziXz50hd/99E9zGErw9UcnuD61xt/8w/X6+YYHWllSVfv3dvk03ozPY2duqQoOiqKwvhVkfStEoVjk7KluDAYD+02dLpvFMptFJnu7fByGEkzPV4tI77rYSz5fZqDXxdrmET6PjdUNtR6bWVNvI0kCqypFaYBQJKXxgDo77Zwf9aAoIls7xzibOnq2BWzsqQgBPV1uwtGG19XX49GEz/q63dyIqdpFeyxcn2zkf+661MnCUqPPTMDjhoqCrAOBMoVcgr42CVmnRxJlRCoMdtsplxQqikImXaDdV5WR97pNJHIl/C4TsiTg95jwu0yIQrU1gwHodRoJhlLk0wU24hLFUhWAzp321sEFIF9q/Nth1XOgUiDQdPYU0DQ0G2q7sxL8UGV6LS4ucuHChRctgH4+MxqNfPvb3+bKlSv8xV/8BU8++SR/8zd/w8MPP8zc3Fz9t3Mn2j333MM999xT337b297G6dOn+aM/+iP+w3/4D2/gyF47+2cJMGqTZZl7772Xe++9l8997nNcu3aNr3zlK/zKr/wKR0dH/NAP/RAPPvgg73nPe1512XKTyUR3dzfd3d3k83mNPhqAzWZjcHAQSZJob3Xz8x+9j5//6H387v/zYf7+m5P8338cp1gqaQCmNeDSqjn3tmjUAkZPdfHsZLU1weTsBudGutjZO+DcSBeSpOM4VdTI0VgtBmZU4TSAzSaPKZsr1veRZZELowEc9jY2d+JEYxkG+/08M75Z3//s6XamZhvn7O3yaMDF4zZzY3KrrqZsMuqIxXVcOucll1fY2kmwua1tkXAQ1HpMzXI2sSMtaEai2u39w0YIS1FgcTVSr7WxmHUUSkpdKdrj0nGUaIS1zp72M7fY8G5anUa2VPkWhrz13I0sC0gGqd7/ZajPybIq1CY3UcV3VGHBjhYrCZWoptpranGbOVC1XR7uuLMA5uDggIWFBc6fP3/b4JLJZPjQhz6EKIr87d/+LVarlR/5kR/hR37kR+pq66+XnRB3gkFtNCEYDNLS0vKSzqHT6bh48SKrq6svvvOb1N6UNOXXyiRJ4u1vfzuf/exn2djY4NFHH6W7u5vf+q3foqenh5/4iZ/gL//yL0kmky9+spdpBoOBzs5Oenp66rU1Op2Oa9euce3aNdbW1kilUiiKgs9j5yd//F185X8+wv/3c7/AH/zuT/ND7z6P0aC7NVwW0YbLsiraMIDRqCeXL3Lj5hrPTCzic+u4MBrg/Jl2DHqZkaG2OjkAYPRUBwcqj6c14GB2seEZyJLItfFVnrqxxEEoRG+PDb0O2loaE14zr8Sg124P9AY0Uv0jw60srhzy9Pg6U7MbdLQZMJvLjJ3zceaUhzPDfnZV3kxXh5ONrQYAtbfaWd9sAEBHm4MNFUD1drs0/XCG+j2NQk5goM9TBxeAvh7tKjnT1B01pjrWoBc1VOfeLkcdXABsNm04Nqo6tjVgIa6Si2n2JA9U4TKfR9UiudXGqdepgv+l2OHhYR1cPB7PbZ0jl8vx4Q9/mHw+z9e//vVbNMpe77oXvV7P2NgYjz32WP1vlUqFxx57TOOlvJCdKI+0tra+VsN8w+2fvQfzfCaKIlevXuXq1at85jOfYWpqiq985St85jOf4V//63/ND/zAD/Dggw9y//33v2o9Mvb391lYWGBkZKT+0hWLxbpkzebmJkajsS5ZY7PZcDosfPjh7+PDD38fyVSWR789zdcfneCbT8zg92qT/36vox4ug2pnzpn5hlaaIMDS2kE9h2O1GDEa4MJoBwvLh+QLJU1NBlTbFxyotMfOnu6ss88URQGlwje/M1Pb10t3p5+YamKUJYHdA+0EfdCkZZbPa+tvdDqZmYUDVqiG2a6O9dLRpsfnsVOpCFgtZnZUOZC2Ftv/v703D4vqvP/+XzMww8Cw7ww7AoKigoKoNcZUG+KOsYn5NtZom9SkMb/HxDbbNzVPs5mkbdYmMWmf1uRKzOYSoyZGRY2J4sImqICiIiAy7Ps+c35/IGfm4I4gLvfruvjjzJyZuQ/oec/9Wd4fxfRNg48zp60t8z0cOVVsOdY7KG/6Pcss66wcj1UqqLFart5BpRiCFhbiRm6BRcxsbJSFC/VN1r0yGoqtdlI+Hg6U1lgEp9kqx+LhYkeVVUmyVmvDIB9H7Fo7OJpVRuiff8H1gNFo5PDhw1clLm1tbcybN4/a2lq2bNnS62bMvuaJJ57ggQceID4+ntGjR/PWW2/R1NTEwoULAZg/fz7+/v4sX74cgBdeeIExY8YQHh5ObW0tf/vb3zh16hQPPvjgQF5GvyIE5jJQq9WMHDmSkSNH8vLLL3P48GFWr17Nu+++y6OPPsodd9xBcnIy06ZNw8PD44rFRpIk2UG2p0GnRqPBz88PPz8/TCYTlZWVGI1G0tLS0Gq1coGAi4sLTo723D0tkbunJdLa1sFPe3NZ+91+fthxkLr6ZsJDfSivtBaDIPZlFFgdB5N95JR87OHmxLafsoEusUkcGUKnyYyd1pa29s6zw9eUjZLd3mXdODtZxtsWFlfi5+NCTt5JPNz0eHk44OHqQk6eJVkfOcibo8ct+RkfL2eOHLWucNMq+nFsbdQcLSintr6FE6eqzr7GCSdHMwEGd+x1dkiSGb1eQ9PZm3nP6Z0lVmKjUqkotKoe02rUHLPqX3Fz1XHCKkwVFuTGSauelbBQd3KswmUmk7Kxs67RIih2WjUnrZL0wQFOHD5heW/rccmooMiqys3PS09VUR1qFUQHuqBp6eBkVtfvKdDXUWmyOUAYjUYOHTrE8OHD8fT0vPQLzkNHRwcLFiygtLSUlJSUyyoMuFbMnTuXiooKli1bRllZGbGxsWzevFlO/BcVFSl2VjU1NTz00EOUlZXh5ubGqFGj2LNnD0OGDBmoS+h3bvg+mIFEkiSOHj3KmjVrWLNmDdnZ2dx2223MmjWLmTNn4u3tfUmxMZvN5OXlUVlZSVxc3GWb/JlMJqqrqzEajQp/NG9vb9zc3BSf29HRya69uexKzeWLb/bIfmgxUYGK/pqE2EEcyDouH49LiGTPgaPy8ZhREexNP4bewY4hkYG4ujiyN71Q9k8L8HOXS6OhK3eiVqtparbcZAMN7hSXWs4ZPiSQo8fLiIrww8HeHp1Wx+79lgq2MfFhivxNQlwwBzItIjgiJoDsw5ZkfXSkD7lWbgERoV4UFFahUoG/ryuDQrxoazfT0mqizNiMp5sjJ6zdkAd5KgQlJtqbQ1b5lFEj/Mi0miOTEOtPutVcmuHDvMm2Kiv29XGg7KzPvlajolOlku39oyLcybOasDlqhA/pVlYzAYEucnmzwVtPqVUeaexwHzraTJw6XkNlZTPu3g5Un+3DuWO0P289fRsDSXl5OTk5OQwfPrzXiffOzk5+97vfkZeXx44dO67rBL7g/Az815wbGJVKxeDBg3n22Wd55plnOHHiBGvWrOHzzz9n6dKljBs3jpkzZzJr1iwMBsM5YmMymcjOzqa1tZXRo0dfkW2EjY2N3HhmNpupqanBaDSSk5ODJEmy2Li7u6PR2DLptmFMum0Yy5b+mtS0o/yw4yDfWFWjOTnqyMm1hMvUapVilg1AdW3Xza6puY0DWQXEx4bR2dnMiJhAbNUadDqdQmCGRQeyP9MiFkMiDRw5ahEDHy8XDuWVYDZLZB0qQqfToLG1xeDnhMHHjcbmToUXGnCOQ4G6x++0Z3jL3U0PhVVIEpScqcXfz4V9GRaBighzIsxGh5NeB9jg7GhPeYVWDoNpelj2tHf0sJaxuumrbZTWMp7u9rK4AAQFOnKsyBICU6uU4bI6q3yLo4MtJeXW4TJ7XJy06G3VlJ9uoL60UfY5c3Wxk8UFuhyeB5KKigpycnIYNmxYr0XBZDLx8MMPc/jwYSEuNzBiB9MPSJJEcXExa9asYe3ataSmppKQkCBb1gQFBVFSUsLHH3/MXXfdxYgRI/qs0VOSJGpqauSKNJPJJFvW9LTckCSJtKzjbNyawcmicjZty5Sfi4sJUZhvhgX7KOxsXJwcaG1rp+1sp75arcLP2w1vLxd0dnYcO16BwdeNXKuKtNihAWQdtlSPjY0PJzXNEqJLiA0l7aDl5h8d4UfR6WoGD/LDzk5LS4uJXCsrmS63AJNsoKnR2KDT2tJwdgqoWq3G3VVPVY0ltOTr7URZeYPVsYt83O02UFHVhLOTDj9vJ1xdHVGr1JjNKtrbJFraJCqrWmhpNeHh7kBNjUUUwsPcFGOVR8R4c9BqqubIWB/SrZwBAvztKTF2rVVjq0KyUdNpknB00BAd5kqnBCqTRF1VM27OdqRb7ZxcPRyoOZuDiYpwJ89K2F5fOo6kXwQxEFRUVJCdnU1MTMw5PSKXi8lk4rHHHmP37t3s3LnznIGBghsHITD9jCRJlJaWymMGfvrpJyIjIykuLiY2NpaNGzf2q2VNfX29bFnT3t4uW9Z4enqe17Jm49YMNmxJx0mvIz37pPzcuPhI9qRZwmVj4yNJtTqOjQkm65BFHEIDvXBycsBR70BhcTVNjW2YzGbarEpr/X3dOF1mSYAPHxJITq6lIm30yFD2Z1jWMDZ+EMWlNQT6udNhUuFob8/edMtnxsYEKMqfhw72U5hrRg7y4uhx6xJuL46drFI8b928GT3Yh7yj1uMPDGQf7trV6R20jBoRSGVVM3Z2tmg0tni4OdLQbAKpa8qlZGqhqRUcHPRIgKOTluaWTs5OAsBGY4PZLNHe2oaaTozlLdTXddDSYmZ4jCc5eVaVbqGu8tRNT3d7Kqx2O6NG+JBuFcZb984UwgJcuNZUVlZy8ODBqxIXs9nMkiVL2L59Ozt27CA4OLiPVym4logQWT+jUqnw9/dn8eLFPProo3z//ffce++9eHh4kJqayvjx40lOTmbWrFlERUX1qfmdSqXCxcUFFxcXIiIiaGxsxGg0cuLEiXMsazQajWxZ8+z/mc3RE2fYsCWdjVvSyT16mtyC04r3ruhR/mzTo0zUz9dNzt+oVBA7xB87OwcqqlooOl3D0MEGDudbT+N05VCe5Vin03A4T2nweaqkitKyWkrO5nCGDjYQEuSAh7szTU2dqHrUe9nbK+1DXJ2VzZrubnqwEhg3Vz1gOXZyUIYsrQe+NTW3U9/QqhiuNijEMttGpQJHBx1NZ40q3VztqauzJPijB3uRd8wiIAlxBoxW4cCaOsuuy9ZWTbFVpZ2Pt14hMJ1WjZlajZqgAShRrqysJDs7m6FDh16VuDz55JNs2bKFnTt3CnG5CRACcw3ZsmUL9957L6+99hp//OMfqampYf369axZs4bXX3+dsLAwZs2aRXJyMkOHDu3T2n6VSoWTkxNOTk6Eh4fT2NhIeXk5RUVFHDlyBHd3dzlvo9VqiQzzY+nD01n68HROlVSw4Yd0NmxJJz37JINCfCg4acnPuLno5a5+6HJuPnrcEhqTJGhuNZN5+BgAwQGeGHyd6ejslCvGwoK9MFZYN4QGkJZl2b1ER/gpwm3+fm5WAnUGFyd7zBKEh3ni6qynobFd0bypUsHxQuX4gVMlymbN4tO1iuMiK/sclUql6KXRam0Uux03F3tFb43BR88ZoyUvEhzgRnadRYwce+SKmpst+RiVWkV1rSXX4+Vhy5kqy/NarfLfRZVV/iU0wBlbm2vbE1JVVUV2djZDhgy57CbDnpjNZp577jnWr1/Pzp07CQsL6+NVCgYC0Wh5DQkPD+ezzz7j0UcflWfaLFy4kI0bN2I0Gnn22WfJy8vjjjvuIC4ujmXLlpGRkdHnM20AHB0dCQsLY8yYMYwbNw53d3dKS0vZtWsXaWlpFBcX09ralaAODvBi8e/v4ocv/5fsnX/j/3twCuNHD5ZHAERF+CtmzwyPDpIr1QCC/D3ItxKcqppGduzO4XD+SVxdbIiP9Qe6yp+7abNq7gRwclLuPoL8ld3gUREGGpvaOJx/mt0HjmJja6a6rpKwUD0jR/gwNiFY0WQaEeqlyMWEBXtwxmgRuLAQD4xWQ78iQj3lMc8Agwd50dJqWWNIsDvWwWaDr3J9Pccl1DZYREGtVnHKelaMvzPNVkPF/Hq8V0W1Zfeo0ag5Y+VzFh50bUNj1dXVHDx4kOjo6F6LiyRJvPjii3zxxRekpKQQERHRx6sUDBRiB3MNGTRoEIMGDTrvcy4uLsybN4958+bR0NAgz7SZMmUKnp6esvNzQkJCn3ctOzg4EBISQkhICK2trQp/NGdnZ7mx097eHoOPG/fPGc/9c8ZTWd3A9ymZpKYdJe2gjZxs7+kkHGDwoOi05dt+TFQAe9O7kvsVVfX4eLpwKP8oDvZ2DBsSgJODnlyrWTN2drYcyVeG6KxLnQEam5T9JmqVira2Tnmq5+iRodQ1VhMa5ImXhwtuzs7UNbZSfvbm7O3pqNiBeHk4KtwAXF0dsA6f9Qy/mU3KLwHWg8gAzli5KevsbCm0SsoH+ztzqsTyvIeHA0VWIbGeztWNrTZAlwC5O6swNlqev5YCU11dTVZWFlFRUb3uRpckiVdffZX//Oc/7Nixg6ioqD5epWAgEUn+65zm5mY2b94sz7RxdHSUq9HGjh3br+6xbW1tVFRUYDQaqampwdHRURabnr5sdfXNbN6RxQ/bs9jyY7b87d7GRo2bi16xo4mO8Cf3mHUyP5z9Vg2fv0iIJDX9GFER/ri7OmOnteOnvZbnBw/yJf+4JUTn4+1CRWWjbEGjd9BiMkmyxY2NjQpnR3vFRE+DjxtnjHV4ujsSFOCBq4sTNTWtFJc20NjUTkigO6dKauXzg/zdFSE0g6+rVfWZCr2DLU3NXQKrs7NFktSyvYyPlyMVlZZy5ehIL/KsuvvjR/iRkW0Jn8WN8CPrsOXY4O9E6dlxyu5uOqqsmjVjY7zIOmYR24dnuTNxdKDcD9VfFio1NTVkZmYSFRWFwWDo1XtIksSbb77Jm2++SUpKCrGxsX27SMGAIwTmBqK1tZWtW7eydu1a1q9fj1arlXc2v/jFL/p0pk1POjo6ZLGpqqpCr9fLORtHR0dUKhWtra1kZmaCypayajObtmVirKhTNGsGB3hxqsRSmeVgrwVUNLdYNWP6e1BsteOJHRpMZXUDwQHeNLeacNI7sDfd0l8zLj6cVKvj+NgQ0rIK5eNhQwLIOWKpLosM8+HYCcsaggLcKSrpukmrVCqGD/FHq9Wi1WhpaTHT3ilxwqohMjDAVWE14+dtT1mFZf0xUb4cybcqTx7uT1aOZUeWEBdA2kGLQI4Y6kuO9cyXABfZfNNRr6Gp3SSH34ZGeXLIasrmyBE+ZFhVkH3x2m3QWU9FRQUmk0lRNdhXX0a6xWXw4MG9LiGWJIl//vOfvPbaa/zwww8kJCT0ydoE1xciRHYDodPpmDFjBjNmzKC9vV2eabNgwQLMZjPTp0+XZ9r09QAmjUaDwWDAYDDQ2dkpW9Z0+6O5ublRUVGBh4cHQ4YMQa1WM3tqIm3tHez4+TAbtqSzeUcW/n5uCoHpaVfTc3fj6eFETl4xJpOZkjPV2Nqq8fJwYdgQb+y0WgqLaymzKg4A6GhXepfZ2ymF18PNiWNYD/FylQVGkiTsdXbssyqPHjMqDEfHDvx8XHHU63BzccbeTsMZYwNNzR14eugVAtMzfNbTzKy+UWmnU2oVDnN21iqcnQP8ncizso+x6+EF13A2FOfppiPMz5HoCH/An6ioKOrr6ykvL6egoIBDhw6ddyrklVJbW0tmZiaRkZFXJS4fffQRy5cv5/vvvxfichMjdjA3AZ2dnfz00098/fXXfPPNN7S0tChm2lyJQ8CVYjKZKCkpoaCgAEmSsLOzk3c2rq6uirLrzk4Tuw/k8+3mNL5LyaS8sp6hgwM4bDUeutuOppue/Tdxw0LJzLHc/MOCfVCrVPh6u1Pf2E5lVTN1DS10dnaFp2xt1Dg42Clm3HSHx7oZFOLF8UKrUcqRBsUAtZgofw5b+Z8NHezPkaNdx24u9sREBdJpUmFrY0tnJ2g1Gk4W1VFT24IkgZe7k9zxb6e1BZUN7WfzVb7eesqtuv2HRntxxCrkNSrOV9FgOXSIF7knajB463F10mCnUXO6qJqS4lpih/ny6Yq7z/t3amxspKKigvLychoaGnB1dZVL1C935lG3uISHh190kuzFkCSJlStX8swzz7Bx40YmTJjQq/cR3BgIgbnJMJlM7Nmzh9WrV/PNN99QW1tLUlISycnJ3HnnnTg4OFz6Ta6AmpoasrKyCAkJISgoiOrqasrLy6moqEClUin80azzAWazmX0ZBV29NlszOH2mGjutLVqthoZGixgMCvFROELHjwgj7aBVeKyHX9r4xCja2jqxtdVSdLqWAF93sg5b/NbCQ705ftISUjL4uFBqJTburnrqGiyTL50ddbS0dsrjAxz1WtrazbKAOTna0dzSgens8x7ueqqru3I9Wo0N0ZEGOjvV2OvssLPT4OSoo7VVwmxWYZYknB3tqKltxywBEnh521Nd045arcLGpmtH09TcgcnUSVtbB+3tJo6fqKSjw4SvtyMVlZbd0K9nDuH/PjXxkn+z7kKOiooKObfW/XfS6/Xn7cWqq6sjIyPjqsXl008/5U9/+hPffvstd9xxR6/eR3DjcN0JzMsvv8ymTZvIyspCq9VSW1t7yddIksTzzz/Pv/71L2pra/nFL37BBx98cMuXO5rNZvbv38/q1atZt24dRqORX/3qVyQnJ3PXXXddtrHmhej2nIqMjDxn5Gu3P1q3ZY0kSQrLGmuxkSSJjJyT7Nqby6o1P3PiVNc39kHB3hw/Zfn27uSoo729U7anAfDzduVMea183HNH9MvxMbS1m2huMVFwopJRI0LZm2ZlpjkqTJHPGR0XyoEsiztA/Ihg0rMtAjUs2sChPMvuJm5YIJk5xcrzD1p6gkaPDCUty/L8mFGhCi+0hNhgDlg9HxNl4IiVHY6XhzNVZwXL3dWeunrLtQ8f6sfhXEuu6ukl45l3z3CuhO7cWnl5OVVVVeh0Ovnv1D2GoltcBg0aRFBQ7yxoJEniq6++4rHHHmPNmjUkJSX16n0ENxbXXR9Me3s799xzD4888shlv+b111/nnXfeYcWKFezbtw+9Xk9SUpLcx3GrolarGTNmDH//+985duwYP/74I1FRUbzyyiuEhIQwd+5cVq1aRW1t7TlDwC5FaWmp3Ll9vnniarUaDw8PoqOjmTBhAiNGjMDW1pa8vDx+/PFHcnJyZK80lUrFqOFhPP6HaRz4YTm71v9f/vzHGQwboryZDRkcqBCXoYMDFOLi7enCkaOW/I1WY8OBzAJ2788lM+conaZGOjqbiI/zJ8jfFUBRWQbIoSuZHt/m21qVkzBtbZX/hXp++e/e6XTT06zTWGllfqlWKSrXPD0cZXEBMPgpS5B1PXJL4aFXPimyO7cWGxvLxIkTiYiIoL29nczMTHbt2sXBgwdJS0sjNDS01+ICsG7dOhYvXswXX3xxTcXlvffeIyQkBJ1OR2JiIvv377/o+V9//TVRUVHodDqGDRvGd999d41WenNy3e1gulm5ciVLliy55A5GkiQMBgNLly7lT3/6E9C1nffx8WHlypXcd99912C1NxaSJHHo0CFWr17N2rVrOXr0qGKmjbu7+0Uta4qKiigoKOjVEKluf7Ty8nKMRiNtbW14enri4+NzXn+0YyfK2Li1y0XAZDIrxguMHRVBqnW+pke4bOTwUDKs/NTCQ30VDgSR4QbcXZxQqWwpPl1HU1M7El39M9BVYu2o11Hf0CUKKlWXa4F1w6W3pxPllZaKMm8PJyqqGs+er8LNxZHa+q7zNbZqbG1taT37/s5OOhoa2+UKseBAd8WgtNih/mQfsYQHE0cFk5Zpsc+JjQkg54hlt7Pz2wV4evRNCNRsNnP69Gny8/Pl6rPuijQPD48r8s/buHEjCxcu5NNPP2X27Nl9sr7L4csvv2T+/PmsWLGCxMRE3nrrLb7++mvy8/Px9vY+5/w9e/YwYcIEli9fzvTp01m1ahWvvfYaGRkZxMTEXLN130zc8AJz4sQJBg0aRGZmpqKO/vbbbyc2Npa33367fxd6gyNJEvn5+fJMm5ycHCZMmMCsWbOYMWOGYqaN2Wzm+PHjnD59mri4OFxcrq6pT5Ik2bLGaDTS0tKCu7s7Pj4+sj+aNcWnK2UzzsyckzjY21Fbb/mGHznIT2FRc6n5NmPjI+WGT4AJY6Pp7JTo7FBRWFxLgMFNMVumZ29McKA7p4otCfngAHeKrOxnQoM8FecPDvfm6HFL/mf4EH+yj1itNy6Y9IOWHVjiyBAOZFrCfXHDAsg+bFlPoMFdrjhzddHx83e/o69oaGggPT2dkJAQgoOD5S8FFRUV8t+pu0jgYhVpmzdv5re//S3//e9/uffee/tsfZdDYmIiCQkJ/POf/wS6/v0GBgby2GOP8fTTT59z/ty5c2lqamLjxo3yY2PGjCE2NpYVK1Zcs3XfTFx3IbIrpays6xtpT4M9Hx8f+TnBhVGpVERFRfG///u/pKenk5uby5133slnn31GREQEU6ZM4YMPPuDUqVMsXLiQf/zjH8THx1+1uHR/tpOTE4MGDWLcuHGMGTMGV1dXioqK+PHHH8nIyKCkpIT29q5EdqC/J48suJPvVj1DVsrrPLtkNreNicLGRk2gwV0hLjo7jSIXA1BcqvQisx6EBtDa2s6eA3nsz8qlsqYMDzcbYqJdCfbX4ajX4uvjqjjf10s5utfXW3ns0+N5Nxdlc6q9rmffknLX2NSsLGcut7KEsddpFO4AvQmPXYhucQkODiYkJEQ2TY2IiFD8nUpKSmRroaKiIlpalOHDlJQU5s+fz0cffcQ999zTZ+u7HNrb20lPT2fy5MnyY2q1msmTJ5Oamnre16SmpirOB0hKSrrg+YJLc036YJ5++mlee+21i56Tm5srbCIGGJVKRXh4OE899RRPPvkkRUVFrFmzhtWrV/PnP/8ZjUbDY489Jjda9qXzM4Beryc0NJTQ0FBaWlowGo2UlpaSl5cnl9V6e3uj0+nw8Xbl97/5Jb//zS+prmlkx+7DfL0hlR/35NLe0UlMVKCi2qxnwYCrs17Rb9PToNNsljicXyRXmKnVKjo6XImP9aOzU03x6VqaeoyH7g6tddPa47inYNTWK/Mx5Vb5GICSUkt1m5OjljKrAWQBBhdOFFrCaYNC+2aUcGNjI+np6QQFBREaGnrec6z/Tq2trXKRwNGjR9m+fTudnZ2Eh4fz3HPP8e677/Kb3/ymz/+tXIrKykpMJtN5v3jm5eWd9zVlZWXii2ofc00EZunSpSxYsOCi5/TWPbXbYM9oNCr8kIxGo7CeuApUKhXBwcEsWrSIH374gWHDhjF37ly2bt3K22+/zYgRI+QxA2FhYX1+A7G3tz/HH637Jubs7CyLjYODA+5ujsyZnsic6YnUNzTzw85s0rKOc+RoCc1nRcDHx1UhMIPDDezPtITPoiL8OWyV3+lZvuzi5MCetDy5fNlep0GrbSd2mA+2Nloqqxo5XmgJf6nVak6eqlIeF1mONbZqCoss4TVHvZaS0lrL5/s6U2a0hP8C/Fw5atXB7+KkAywC0xc7mG5xCQwMvOz/jzqdjsDAQAIDA+no6KCsrIwPPviA9957D29vb44cOUJqaipjxozpN9sawfXLNRGY7u7h/iA0NBRfX1+Fl1F9fT379u27oko0wfl54okn6Ojo4KeffsLZ2ZlnnnkGo9HIN998w9q1a3nhhReIjo6WxWbw4MF9LjY6nY6goCCCgoJob2+XxaagoEDRw+Ho6IizkwP3zBjDPTPG8Pyffs22XTls3JJB7jFluKyjR7WYs6OyGdXVSUupJd1BeJgvB6wEafAgAwcPF3PiVNe32+hIAy1tNQwON+Ds5IhGoyW/wCI4YcEeinEBocGeinxMSKAHR6yGm/l6KwXGyUm5PlWPm/WgqxSYpqYm0tPT8ff3v6Ah66XQaDRERkZy8uRJ/vGPfxAaGso333zD9OnTmTlzJitXrryqNV4J3dY4RqNR8bjRaLyg67Ovr+8VnS+4NNedVUxRURHV1dUUFRVhMpnIysoCuqzuHR0dAYiKimL58uXMnj0blUrFkiVLeOmll4iIiCA0NJS//OUvGAwGkpOTB+5CbhJeeeUV9Hq97AagUqnw9fXl4YcfZtGiRVRXV8szbV599VXCw8PlmTbdljF9iVarJSAggICAAEUPx8mTJ7G3t8fb2xsfHx8cHR1xsLdjZlI8M5PiaWvv4Mc9R9iwJZ0f9+Ry5KhScAqLKxTHkqpHfqRHKYyDvfKG7+aiJ/doKZmHukRoXEIExaUn8fNxI9Dgg5+3E/Y6W8rKG6msbsLVRdk976hXzofR9KjSMpl6OCr3sJuJCOu9wDQ1NZGWlnZV4gKQkZHB7NmzWbZsGY8//jgqlYrZs2fT0dFBTU3Npd+gD9FqtYwaNYqUlBT5PmA2m0lJSWHx4sXnfc3YsWNJSUlhyZIl8mNbt25l7Nix12DFNyfXXRXZggUL+Pjjj895fMeOHUycOBHousn997//lcNu3Y2WH330EbW1tYwfP57333+fyMjIa7jyWxtJkqirq2PDhg2sWbOGLVu2EBAQIIvNiBEj+jVE0u2PVl5eTmVlJVqtVhYbZ2dnxa7KZDKze38+G7ZksGlbJk6OdhwvtITPnJ3saW5pk3tYVKquEJl1xVpIgDenSiw7kOgIA7nHLCXEI4YGcfCwpeFy5PBQMnO6Giw93J0YOWwQbW2gUtnQ0NiBs5OejOzTVu/nR36BRfRCAj0pPm0J2Tk76uWRAO5u9uzauLBXv7funYufnx/h4eG93n1mZ2czbdo0/vznP/PUU09d85zL+fjyyy954IEH+PDDDxk9ejRvvfUWX331FXl5efj4+DB//nz8/f1Zvnw50FWmfPvtt/Pqq68ybdo0vvjiC1555RVRpnwVXHcCI7g5aGhoYNOmTaxZs4bNmzfj6enJzJkzmT17NvHx8f0qNiaTiaqqKrms1sbGRmFZY33zM5vNpB08wcrPt7F9dx6V1U0kxIZxIMtSIBAV4U+eVUGAr7crxnJL/kPvYEdbe4fF/8xWjVZjK+d/VCoVrs56hUC5u+qprrVUhbm6OCJJYPDxwM3VGQedPWZJTWcHtLWbaGmRaGxqp6mpAw8PByqtLGJGj/TnP+/OuuLfU3NzM2lpafj6+hIREdFrUThy5AhTpkxh8eLFLFu27LoQl27++c9/8re//Y2ysjJiY2N55513SExMBGDixImEhIQoQndff/01zz33HIWFhURERPD6668zderUAVr9jY8QGEG/09TUxObNm1m7di0bN27E2dlZnmkzZsyYfp1pYzabZX+08vJyVCoVXl5e+Pj4yGKTm5tLVVUVo0aNIv9EObtSc/nMyrKmZ//MmFER7Eu35GNiY4LJOmSxf+kpSKFBXhQWW/Ivgf7uFJ+2JPgDDR6UnLGEkEICPTlVYjk/KtyPvAJLhduoEYM4ajUP53/uHssLTyZf0e+lubmZ9PR0vL29iYyM7LUo5OfnM2XKFH7/+9/z0ksvXVfiIhh4rrscjODmQ6/XM2fOHObMmUNLS4s802bu3LnY2dkxY8YMkpOT+2WmjVqtxtPTE09PT6KioqitraW8vJxDhw5hNpvRaDSYTCbi4+NxcHAgLiaEuJgQ/s9DUzhytISNWzNIP3hS8Z497V/sdcpGQ3dXZTe9j7erQmD8vN0UAuPr46oQGG9PZ4XAuLoo389Oo1YYgoYGXZmbQktLS5+IS0FBAdOnT2fevHm8+OKLQlwE5yAERnBNsbe3Z+bMmcycOZP29na2b9/OmjVreOCBBwDkmTa33357n8+0UavVuLu74+7uTkREBJmZmTQ0NGBjY8O+ffsUljU2NjYMiQxgSGSXz9rxQiObtnblbApOKiuNzhhrFcc9/cZ6CpKqR3TQxkZ90eOeMYa2HhVwkWGXX+XU0tJCWloaXl5eVyUuhYWFTJ8+nTlz5vD666+LEmTBeREhMsF1QWdnJ7t27ZJn2rS2tjJ9+nRmzZrFL3/5yz6daWM2m8nJyaG5uZlRo0ah0WhoaGiQLWtaW1sVkyB77qpOn6lm49ZMNm7J4GRRBcYKS/JdY2uDja2a1lbLWGNvTxcqqix+ZSGBnhQWWwoEIgf5ceyERbQGh/spQmARYT6K57umglp2ODk7X8LLU+kacD5aW1tJS0vDw8ODqKioXotLcXExSUlJ3HXXXbz//vtCXAQXRAjMVVJdXc1jjz3Ghg0bUKvVzJkzh7ffflsuqT4fEydO5Mcff1Q8tmjRIuF3dBaTycTu3bvlmTZ1dXXcddddJCcn86tf/eqqZtqYTCays7Npb29n5MiR54iHJEk0NTVhNBopLy+nqakJDw+PC/pulVfW8922TDZuyWT3gXwGDzIoLGoC/Dw4XWbdIOlAfWOL7F6ts7PFbFbR0dm1K7G1UWOrsaWtrUugbGxU2NrYyC7SWo0NJrNKnj/j7qrnyM/LL3nd3eLi7u5OdHR0r8XlzJkzJCUlMWHCBP71r3/1a/5McOMjBOYqmTJlCmfOnOHDDz+ko6ODhQsXkpCQwKpVqy74mokTJxIZGckLL7wgP+bg4ICz86W/hd5qmM1m9u3bJ8+0KS8v58477yQ5OZmkpKQrmmnT3VdlMpmIi4u7rHxPU1OTXCDQ0NCAm5ubXJFmZ6fsXampbeLH1FxWb9jHzt1HaGvvJHFkOPszLRVpcTHBZFoVBERH+pN3zJLADw/1UZRMhwV7y8UG3c8XnLSULyeODGP9J0sueg2tra2kp6fj5uZ2VeJiNBqZMmUKCQkJrFy5UoiL4JIIgbkKcnNzGTJkCAcOHCA+Ph7oco+dOnUqJSUlGAyG875u4sSJxMbG8tZbb13D1d74mM1mMjIy5DEDxcXFTJ48meTkZKZOnXpOv4s1nZ2dZGZmolKpiI2NvSK7+W5aWlpksamrq8PFxUUWm55jhxubWtm6M4cDB0+wak0qzS1dxprjEiLYc8AyYmBsfAR7rSrSEkcOUgjS6LgwxXFCXBgHMgvl49/eM46/PX/hkRRtbW2kpaXh6urKkCFDei0uFRUVTJs2jaFDh/LZZ5/16vcnuPUQwdOrIDU1FVdXV1lcACZPnoxarWbfvn0Xfe1nn32Gp6cnMTExPPPMMzQ3N1/0fEFXkj4+Pp5XX32VvLw89u3bR1xcHG+++SYhISH8+te/5pNPPqGqqkoxQK27JNfGxoa4uLhe3xzt7e0JDg4mISGB2267DV9fXyorK9m9ezf79u3j5MmTNDV19bY46nXMnpbAK8/OJXf36/z3nUXMmT6a1rYOxXv2tKzpYaiMTY/8ho1auWuICFOaM1rT1tZGeno6Li4uVyUu1dXVzJgxg4iICD799FMhLoLLRvxLuQrKysrOGVxka2uLu7v7RR1Yf/Ob3xAcHIzBYCA7O5unnnqK/Px81q5d299LvmlQq9UMHz6c4cOH89e//pW8vDxWr17Nhx9+yGOPPcbtt9/OrFmzGD16NPPmzZOtbfoqIW1nZyebPLa3t8uWNcePH0ev18suAnq9HnudlmmTY5k2OZb29k5+2pvHxq2ZbN6ezekzSguV6pomxXFdo9ICv7mHg/OFKsi67eqdnZ0ZOnRor8WltraWWbNmERQUxJdfftnnZeSCmxsRIjsPlzteYO3atXz88cfk5+crnvP29uavf/3rZZttbt++nUmTJlFQUHBVXlCCriT98ePHWb16NV9++SVZWVm4ubnx9NNPc/fdd+Pn59ev/RodHR0KyxqdTieLjZOT0zmWNalpBWzamsl3KQepqW1CkpAT/gBOjjpF2bOnuzOV1Rbb/oxtf8Xgq7Tqb29vJy0tDScnJ2JiYnp9vfX19SQnJ+Pi4sL69ev7tJJPcGsgBOY8VFRUUFVVddFzwsLC+PTTT1m6dKnCyK+zsxOdTsfXX3992eNhm5qacHR0ZPPmzdd0XvnNTElJCZMmTWLo0KGMGTOGb7/9lr179zJ69GhmzZrFrFmzCAwM7FexMZlMVFZWYjQaqaysRKPRyGLj4uKi+GxJksjIKWTDD5ls2naQ4tNVGHzdKLWqQHN10VNrNa7ZyVHHsb2vKz6ze+ei1+uJiYnp9Y6tsbGRu+++G61Wy6ZNm87JMQkEl4MQmKugO8mflpbGqFGjANiyZQt33XXXRZP8Pdm9ezfjx4/n4MGDDB8+vD+XfEsgSRITJkwgOjqaFStWoFarkSSJ06dPs3btWtauXcvu3buJjY2VxwyEhob2u9hYW9ZY+6O5urqeIwTZR4r5aW8+n69LlRs7h0YFcDjPYqg5cngw361aKh93i4uDgwPDhg3rtbg0Nzfz61//GkmS2LRp00VL7gWCiyEE5iqZMmUKRqORFStWyGXK8fHxcpny6dOnmTRpEp988gmjR4/m+PHjrFq1iqlTp+Lh4UF2djaPP/44AQEB5/TGCHpPaWnpBcNhkiRhNBpZt24da9euZefOnQwdOlR2fr6aDvfLwWw2U1NTg9FopKKiAkmSZLFxd3c/Rxjyj59h09Ysjp0wsu67DPnxucmJvP3S/UBXaC49PR17e/urEpfW1lZ5Nv3mzZtF6bzgqhACc5VUV1ezePFiRaPlO++8I3/rKywsJDQ0VB43UFxczLx58zh06BBNTU0EBgYye/ZsnnvuOfGfeQCQJImqqip5pk1KSgoRERGy83N0dHS/dqpLkkRtba3c2GkymfDy8sLb2xsPD49zek0KiyrYtC2bTduymHFnHI8s+KUsLjqdjuHDh/d6vW1tbdx///1UVlayZcsWXF1d++AKBbcyQmAEgrN0z7T59ttv5Zk2QUFBsthczc37cj+/vr5eFpv29naFZU3P8mBJkujs7CQjIwOtVntVM3fa29uZP38+xcXFpKSk4O5+9SOYBQIhMALBBaivr1fMtPH29pbFZtSoUf0uNo2NjbLYtLS0KCxrNBqNLC4ajeaqxKWjo4Pf//735Ofns3379n4bby649RACIxBcBk1NTXz//fesXbuWTZs24eLiIs+0SUxM7HfblMbGRrlAoLGxETc3N1paWtDpdMTFxfX68zs7O1m0aBEHDx5kx44d+PhcuHHzWiC8/W4uhMAIBFdIS0sLW7ZsYe3atWzYsAGdTqeYadPfne4NDQ1kZWXR2dmJyWTC1dVVLhK4kl4Vk8nE4sWLSU1NZefOnZdd9difCG+/mwshMALBVdDe3s62bdtYu3Yt69evR6VSMW3aNGbPns2ECRP6fKZNt6eaWq0mNjaWjo4OecxAXV0dzs7Ocq/NxXpXzGYzS5YsYceOHezYsYOgoKA+XWdvEN5+Nx/Ci+wW4L333iMkJASdTkdiYiL79++/6Plff/01UVFR6HQ6hg0bxnfffXeNVnrjodVqmTp1Kv/+978pLS3l888/x87OjkWLFhEWFsaiRYv4/vvvaW1tvfSbXYJuN+hucbGxsUGn0xEUFCT7oxkMBqqqqti9ezd79+5V+KN1YzabefLJJ9m6dSvbtm27LsQFhLffzYjwIrvJ+fLLL3niiSdYsWIFiYmJvPXWWyQlJZGfn3+OjxrAnj17+J//+R+WL1/O9OnTWbVqFcnJyWRkZBATEzMAV3DjoNFomDRpEpMmTeK9997j559/ZvXq1SxZsoT6+nqmTJlCcnIykydPvuKZNiaTiczMTABZXHpiZ2dHQEAAAQEBdHR0UFFRgdFo5Pjx46hUKr7//nvmzJnD+vXr+fbbb9mxYwehoaF9cu19gfD2uwmRBDc1o0ePlh599FH52GQySQaDQVq+fPl5z7/33nuladOmKR5LTEyUFi1a1K/rvJkxmUzS7t27pccff1wKDQ2VHB0dpbvvvlv65JNPJKPRKDU1NV30p76+Xtq1a5e0c+dOqb6+/pLn9/ypq6uTfv75Z+mOO+6QbGxsJBsbG+nBBx+U9u/fL5nN5n6//qeeekoCLvqTm5srvfzyy1JkZOQ5r/fy8pLef//9y/68lJQUCZAKCgr68jIEvUCEyG5iuq1DJk+eLD+mVquZPHkyqamp531Namqq4nyApKSkC54vuDRqtZpx48bxxhtvUFBQwPbt24mIiODFF18kJCSE++67j88//5y6ujrFmAHo2rkcPHgQs9nc62oxW1tbYmNjGTduHG5ubvz973+npaWFyZMnExISwuHDh/vqUs/L0qVLyc3NvehPWFgYvr6+lJeXK17b2dlJdXU1vr7nd40+H4mJiQAUFBT06XUIrhwRIruJqaysxGQynVN66uPjQ15e3nlfU1ZWdt7zLxaiEFw+arWahIQEEhISeOWVV8jOzmbNmjW88cYb/PGPf2TSpEnMnDmT6dOno9Vq+cMf/sD9999PUlJSr6vTJEnijTfe4IMPPmD79u2MGDEC6OrcT0lJISwsrC8v8Ry8vLwuq7dm7Nix1NbWkp6eLnv7bd++HbPZLIvG5ZCVlQWAn59fr9Yr6DvEDkYgGCC6k/Uvvvgihw4dIjMzkzFjxrBixQpCQ0MZPHgw+/fvJzIystd9LpIk8e677/Lmm2/yww8/yOICXTmbqVOnXjdOydHR0dx111089NBD7N+/n927d7N48WLuu+8+uYLs9OnTREVFyYUqx48f58UXXyQ9PZ3CwkK+/fZb5s+fz4QJE4Rx7HWAEJibGE9PT2xsbDAajYrHjUbjBUMOvr6+V3S+oG9QqVQMGTKEZcuWsW/fPiZMmIBer8fHx4f4+HimTp3Khx9+yJkzZ84Jo10ISZL48MMPefXVV/nuu+8U1VnXK5999hlRUVFMmjSJqVOnMn78eD766CP5+Y6ODvLz8+UqMa1Wy7Zt27jzzjuJiopi6dKlzJkzhw0bNgzUJQisEH0wNzmJiYmMHj2ad999F+gqUQ0KCmLx4sU8/fTT55w/d+5cmpubFf9Bx40bx/Dhw0Vn9DXAZDIxZ84cSkpK2LZtGy4uLhQWFrJmzRrWrVvHvn37SExMlGfaBAQEXNAx+r///S/PPvssmzZt4rbbbhuAqxHc8gxcfYHgWvDFF19IdnZ20sqVK6UjR45If/jDHyRXV1eprKxMkiRJ+u1vfys9/fTT8vm7d++WbG1tpb///e9Sbm6u9Pzzz0sajUbKyckZqEu45fj3v/8tVVVVnfO42WyWioqKpLfeekuaMGGCZGNjIyUkJEgvv/yydOjQIamxsVFqamqSGhsbpQ8++EBydHSUduzYce0vQCA4ixCYW4B3331XCgoKkrRarTR69Ghp79698nO333679MADDyjO/+qrr6TIyEhJq9VKQ4cOlTZt2nSNVyy4FGazWSotLZXee+89adKkSZKtra0UGxsrPf/889Irr7wi6fV66YcffhjoZQpucUSITCC4wZGsZtqsWrWK7du38+mnn3L//fcP9NIEtzhCYASCmwjp7GjogICAgV6KQCAERiAQCAT9gyhTFggEAkG/IARGIBAIBP2CEBjBdcmVjBhYuXIlKpVK8XMlg7cEAkH/IARGcN3RPWLg+eefJyMjgxEjRpCUlHSOEaI1zs7OnDlzRv45derUNVyxQCA4H0JgBNcdb7zxBg899BALFy5kyJAhrFixAgcHB/7zn/9c8DUqlQpfX1/5Z6BnywsEAiEwguuM3owYAGhsbCQ4OJjAwEBmzZrV7xb0AoHg0giBEVxXXGzEwIVGBgwePJj//Oc/rF+/nk8//RSz2cy4ceMoKSm5FksWCAQXQMyDEdzwjB07lrFjx8rH48aNIzo6mg8//JAXX3xxAFcmENzaiB2M4LqiNyMGeqLRaIiLixMTDQWCAUYIjOC6QqvVMmrUKFJSUuTHzGYzKSkpil3KxTCZTOTk5IiJhgLBACMERnDd8cQTT/Cvf/2Ljz/+mNzcXB555BGamppYuHAhAPPnz+eZZ56Rz3/hhRfYsmULJ06cICMjg3nz5nHq1CkefPDBgbqEm5KXX36ZcePG4eDggKur62W9RpIkli1bhp+fH/b29kyePJljx47170IF1w0iByO47pg7dy4VFRUsW7aMsrIyYmNj2bx5s5z4LyoqQq22fDeqqanhoYceoqysDDc3N0aNGsWePXsYMmTIQF3CTUl7ezv33HMPY8eO5f/9v/93Wa95/fXXeeedd/j4448JDQ3lL3/5C0lJSRw5ckQ0w94CCLNLgUBwRaxcuZIlS5ZQW1t70fMkScJgMLB06VL+9Kc/AVBXV4ePjw8rV67kvvvuuwarFQwkIkQmEAj6hZMnT1JWVqboaXJxcSExMfGiPU2CmwchMAKBoF/o7lu6kp4mwc2FEBiB4Bbm6aefPscotOdPXl7eQC9TcIMikvwCwS3M0qVLWbBgwUXPCQsL69V7d/ctGY1GRcm40WgkNja2V+8puLEQAiMQ3MJ4eXnh5eXVL+8dGhqKr68vKSkpsqDU19ezb98+HnnkkX75TMH1hQiRCQR9yK5du5gxYwYGgwGVSsU333xzydfs3LmTkSNHYmdnR3h4OCtXruz3dfaGoqIisrKyKCoqwmQykZWVRVZWFo2NjfI5UVFRrFu3DuhyuF6yZAkvvfQS3377LTk5OcyfPx+DwUBycvIAXYXgWiJ2MAJBH9LU1MSIESP43e9+x913333J80+ePMm0adN4+OGH+eyzz0hJSeHBBx/Ez8+PpKSka7Diy2fZsmV8/PHH8nFcXBwAO3bsYOLEiQDk5+dTV1cnn/Pkk0/S1NTEH/7wB2praxk/fjybN28WPTC3CKIPRiDoJ1QqFevWrbvot/WnnnqKTZs2cejQIfmx++67j9raWjZv3nwNVikQ9B8iRCYQDCCpqamKPhGApKQk0SciuCkQAiMQDCBlZWXn7ROpr6+npaVlgFYlEPQNQmAEAoFA0C8IgREIBhBfX9/zzr5xdnbG3t5+gFYlEPQNQmAEggFk7Nixitk3AFu3br3s2TcCwfWMEBiBoA9pbGyU+0Ogqwy5u3cE4JlnnmH+/Pny+Q8//DAnTpzgySefJC8vj/fff5+vvvqKxx9/fCCWLxD0KaJMWSDoQ3bu3Mkdd9xxzuMPPPAAK1euZMGCBRQWFrJz507Fax5//HGOHDlCQEAAf/nLXy5p3yIQ3AgIgREIBAJBvyBCZAKBQCDoF4TACAQCgaBfEAIjEAgEgn5BCIxAIBAI+gUhMAKBQCDoF4TACAQCgaBfEAIjEAgEgn5BCIxAIBAI+gUhMAKBQCDoF4TACAQCgaBfEAIjEAgEgn7h/wfbzcdDROyvqQAAAABJRU5ErkJggg==", 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", 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", 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" ] diff --git a/docs/notebooks/colabs/06_PDE_Eigenvalue_Problems.ipynb b/docs/notebooks/colabs/06_PDE_Eigenvalue_Problems.ipynb index c4502453..35cd4405 100644 --- a/docs/notebooks/colabs/06_PDE_Eigenvalue_Problems.ipynb +++ b/docs/notebooks/colabs/06_PDE_Eigenvalue_Problems.ipynb @@ -55,7 +55,15 @@ "execution_count": 1, "id": "001cbe0d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:jax._src.xla_bridge:CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], "source": [ "import numpy as np\n", "import jax.numpy as jnp\n", @@ -119,7 +127,7 @@ "def vfn(x):\n", " return (x * x).sum() / 2\n", "\n", - "V = cola.diag(vmap(vfn)(xyz).reshape(-1))" + "V = cola.ops.Diagonal(vmap(vfn)(xyz).reshape(-1))" ] }, { @@ -135,14 +143,21 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "id": "2b696c83", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c3decb9cc3d14a69acde5aa6322eff73", + "model_id": "5dde411b0bc14f10bea3b2ac0d886af0", "version_major": 2, "version_minor": 0 }, @@ -152,19 +167,11 @@ }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/marc_f/cola/cola/jax_fns.py:248: UserWarning: Explicitly requested dtype requested in array is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.\n", - " return jnp.array(arr, dtype=dtype)\n" - ] } ], "source": [ - "H = -L / 2 + V\n", - "energy_levels, eigenfunctions = cola.eig(cola.SelfAdjoint(H),max_iters=1000, tol=1e-4, method='iterative', pbar=True)\n", + "H = cola.SelfAdjoint(-L / 2 + V)\n", + "energy_levels, eigenfunctions = cola.eig(H,26,which='SM', alg=cola.Lanczos(max_iters=1000, tol=1e-4, pbar=True))\n", "eigenfunctions = eigenfunctions.to_dense()" ] }, @@ -181,13 +188,13 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "id": "c642575b", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -225,13 +232,13 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "id": "0c74eeef", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -270,144 +277,13 @@ "id": "c0195343", "metadata": {}, "source": [ - "## 🚧 Solving the Schrodinger Eq for the Hydrogen atom in 3d 🚧\n", - "diagonalizing non hermitian Hamiltonians via compactifying transform" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "7e9d2228", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "float64\n", - "[-636.61924877 -636.61924877] [636.61924877 636.61924877]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0481d6ee879c472ebaaf2f9add78faba", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body_fun: 0%| | 0/100 [00:00 0.5, hdiag(psi_grid), hessian)\n", - " l1 = (dpsi.reshape(-1, ndims) * laplacian_factor1).sum(-1)\n", - " l2 = (hessian * laplacian_factor2).sum((1, 2))\n", - " return (l1 + l2).reshape(psi.shape)\n", - "\n", - "\n", - "L = cola.ops.LinearOperator(jnp.float64, shape=(N**ndims, N**ndims), matmat=jit(vmap(laplacian, -1, -1)))\n", - "v = vmap(vfn)(xyz).reshape(-1)\n", - "V = cola.diag(v)\n", - "H = -L / 2 + V\n", - "\n", - "\n", - "e2, v2 = cola.eig(H, method='iterative', max_iters=1000, pbar=True)" + "## 🚧 Solving Schrodinger for the Hydrogen atom in 3d 🚧" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "fc62f96c", + "cell_type": "markdown", + "id": "f569bc2d", "metadata": {}, - "outputs": [], "source": [] } ], diff --git a/docs/notebooks/colabs/07_second_order_optimization.ipynb b/docs/notebooks/colabs/07_second_order_optimization.ipynb index 9480b411..665aa117 100644 --- a/docs/notebooks/colabs/07_second_order_optimization.ipynb +++ b/docs/notebooks/colabs/07_second_order_optimization.ipynb @@ -42,7 +42,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -98,7 +98,7 @@ "import torch.optim as optim\n", "X = torch.tensor(X, dtype=torch.float32)\n", "y = torch.tensor(y, dtype=torch.long)\n", - "def MLP(k=100):\n", + "def MLP(k=200):\n", " return nn.Sequential(\n", " nn.Linear(2, k), nn.SiLU(),\n", " nn.Linear(k, k), nn.SiLU(),\n", @@ -111,7 +111,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First lets train using 1000 epochs of Adam" + "First lets train using 1000 epochs of SGD and Adam for comparison" ] }, { @@ -123,22 +123,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "Epoch [100/500], Loss: 0.20818719267845154\n", - "Epoch [200/500], Loss: 0.0895991101861\n", - "Epoch [300/500], Loss: 0.0725485235452652\n", - "Epoch [400/500], Loss: 0.06491628289222717\n", - "Epoch [500/500], Loss: 0.05936698615550995\n" + "Epoch [100/500], Loss: 0.0317324697971344\n", + "Epoch [200/500], Loss: 0.04851977527141571\n", + "Epoch [300/500], Loss: 0.019817877560853958\n", + "Epoch [400/500], Loss: 0.018510127440094948\n", + "Epoch [500/500], Loss: 0.017751768231391907\n" ] } ], "source": [ - "learning_rate = 2.5\n", + "learning_rate = 1e-2\n", "epochs = 500\n", "\n", "model = MLP()\n", "criterion = nn.CrossEntropyLoss()\n", - "optimizer = optim.SGD(model.parameters(), lr=learning_rate)\n", - "sgd_losses = []\n", + "optimizer = optim.Adam(model.parameters(), lr=learning_rate)\n", + "adam_losses = []\n", "for epoch in range(epochs):\n", " # Forward pass\n", " outputs = model(X)\n", @@ -149,7 +149,7 @@ " loss.backward()\n", " optimizer.step()\n", "\n", - " sgd_losses.append(loss.item())\n", + " adam_losses.append(loss.item())\n", " if (epoch + 1) % 100 == 0:\n", " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')\n" ] @@ -159,7 +159,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now lets make a 2nd order method using cola, here we will use the Gauss-Newton PSD approximation to the Hessian." + "Now lets make a 2nd order method using cola, here we will use the Gauss-Newton approximation to the Hessian as well the PSD Fisher matrix." ] }, { @@ -212,18 +212,12 @@ "source": [ "Now let's construct the Gauss Newton matrix to use as a PSD proxy for the Hessian in Newtons method.\n", "\n", - "$G = \\frac{1}{n}\\sum_i J(x_i)^TJ(x_i)$ where $J\\in \\mathbb{R}^{C \\times p}$ is the Jacobian of the network for a single data point, $p$ is the number of parameters and $C$ is the number of outputs (classes).\n", + "$G = \\sum_i J(x_i)^THJ(x_i)$ where $J\\in \\mathbb{R}^{C \\times p}$ is the Jacobian of the network for a single data point, $p$ is the number of parameters and $C$ is the number of outputs (classes).\n", + "Here $H$ is the Hessian of the loss function with respect to the logits.\n", "\n", - "Note: A better approximation to the full Hessian is to include the Hessian of the loss with respect to the network outputs:\n", - "$G' = \\frac{1}{n}\\sum_i J(x_i)^THJ(x_i)$ and we will also try this.\n", + "Alternatively, we might consider Natural gradient descent (using the Fisher information matrix $F$).\n", "\n", - "If we write the $J(X) \\in \\mathbb{R}^{nC \\times p}$ to be the Jacobian of the network for the entire dataset $X=\\{x_i\\}_{i=1}^n$, we can write\n", - "$G = J(X)^TJ(X)/n$.\n", - "\n", - "and \n", - "$G' = J(X)^THJ(X)$ (we can ignore the $1/n$ scaling because that is already present in the loss function.)\n", - "\n", - "Here we will annotate the matrix as PSD so as to enable more efficient inversion methods, and we will add a small amount of Tikhonov regularization to the diagonal to improve the conditioning." + "Here we will annotate the matrices as PSD so as to enable more efficient inversion methods, and we will add a small amount of Tikhonov regularization to the diagonal to improve the conditioning." ] }, { @@ -240,14 +234,14 @@ "def GN(p):\n", " \"\"\"Gauss-Newton approximation to the Hessian\"\"\"\n", " J = cola.ops.Jacobian(flat_fn, p)\n", - " G = J.T @ J/ X.shape[0]\n", - " return cola.PSD(G+1e-4*cola.ops.I_like(G))\n", - "\n", - "def GNH(p):\n", - " J = cola.ops.Jacobian(flat_fn, p)\n", - " H = cola.ops.Hessian(lambda z: criterion(z.reshape(X.shape[0],-1),y)*n_spirals, flat_fn(p))\n", + " loss = lambda z: criterion(z.reshape(X.shape[0],-1),y)*n_spirals\n", + " H = cola.ops.Hessian(loss, flat_fn(p))\n", " G = J.T @ H @ J\n", - " return cola.PSD(G+1e-4*cola.ops.I_like(G))\n", + " return cola.PSD(G+1e-3*cola.ops.I_like(G))\n", + "\n", + "def Fisher(p):\n", + " F = cola.ops.FIM(lambda p: stateless_model(p, X), p)\n", + " return cola.PSD(F+1e-3*cola.ops.I_like(F))\n", "\n", "def flat_loss(params):\n", " return criterion(flat_fn(params).reshape(X.shape[0],-1), y)" @@ -257,10 +251,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Below we implement the optimization loop in this stateless manner.\n", - "\n", - "We limit the tolerance and max iterations of the (iterative) solves so as to reduce the computation time. Though we don't do so here, adding a preconditioner (e.g. Jacobi, PivotedCholesky, Nystrom) would substantially accelerate the convergence of the solves.\n", - "Let's compare the two second order methods:" + "We can check the eigenvalues of GN and F to make sure they are not too big. Note that these matrices are already very big (40k x 40k), already far too large to use a dense method." ] }, { @@ -269,114 +260,156 @@ "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "/home/marc_f/anaconda3/envs/cola/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n", - "/home/marc_f/cola/cola/torch_fns.py:287: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n", - " return torch.tensor(arr, dtype=dtype, device=device)\n" + "(41805, 41805)\n" ] - }, + } + ], + "source": [ + "print(GN(flat_p).shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's check that the matrices are of a sensible scale via their largest eigenvalues:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Epoch [50/500], Loss: 0.11226876080036163\n", - "Epoch [100/500], Loss: 0.07298079133033752\n", - "Epoch [150/500], Loss: 0.057889148592948914\n", - "Epoch [200/500], Loss: 0.049473535269498825\n", - "Epoch [250/500], Loss: 0.044004883617162704\n" + "GN eigmax: 2.8789467811584473\n", + "Fisher eigmax: 0.5777260065078735\n" ] } ], "source": [ - "# Method 1: Gauss Newton\n", - "p = flat_p.clone()\n", - "\n", - "gn_losses = []\n", - "for epoch in range(epochs//2):\n", - " g = torch.autograd.grad(flat_loss(p), p)[0]\n", - " p -= cola.inv(GN(p),tol=1e-3, max_iters=20) @ g\n", + "from cola import Auto\n", + "with torch.no_grad():\n", + " print(f\"GN eigmax: {cola.eigmax(GN(flat_p), alg=Auto(tol=1e-2))}\")\n", + " print(f\"Fisher eigmax: {cola.eigmax(Fisher(flat_p), alg=Auto(tol=1e-2))}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Below we implement the optimization loop in this stateless manner.\n", "\n", - " loss = flat_loss(p)\n", - " gn_losses.append(loss.item())\n", - " if (epoch+1) % 50 == 0:\n", - " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')" + "We limit the tolerance and max iterations of the (iterative) solves so as to reduce the computation time. Though we don't do so here, adding a preconditioner (e.g. Jacobi, PivotedCholesky, Nystrom) would substantially accelerate the convergence of the solves.\n", + "Let's compare the two second order methods:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Epoch [5/500], Loss: 0.6611531376838684\n", - "Epoch [10/500], Loss: 0.30941057205200195\n", - "Epoch [15/500], Loss: 0.15940934419631958\n", - "Epoch [20/500], Loss: 0.0875774547457695\n", - "Epoch [25/500], Loss: 0.05331209674477577\n", - "Epoch [30/500], Loss: 0.035734958946704865\n", - "Epoch [35/500], Loss: 0.02611885406076908\n", - "Epoch [40/500], Loss: 0.020912107080221176\n", - "Epoch [45/500], Loss: 0.018345844000577927\n", - "Epoch [50/500], Loss: 0.017183756455779076\n", - "Epoch [55/500], Loss: 0.01675541140139103\n", - "Epoch [60/500], Loss: 0.016480550169944763\n", - "Epoch [65/500], Loss: 0.016344835981726646\n", - "Epoch [70/500], Loss: 0.016253307461738586\n", - "Epoch [75/500], Loss: 0.016203129664063454\n", - "Epoch [80/500], Loss: 0.01616615056991577\n", - "Epoch [85/500], Loss: 0.016142897307872772\n", - "Epoch [90/500], Loss: 0.016128169372677803\n", - "Epoch [95/500], Loss: 0.016118457540869713\n", - "Epoch [100/500], Loss: 0.016112178564071655\n" + "Epoch [10/500], Loss: 0.3142242431640625\n", + "Epoch [20/500], Loss: 0.08766728639602661\n", + "Epoch [30/500], Loss: 0.03646586090326309\n", + "Epoch [40/500], Loss: 0.022148877382278442\n", + "Epoch [50/500], Loss: 0.018077930435538292\n", + "Epoch [60/500], Loss: 0.01689857430756092\n", + "Epoch [70/500], Loss: 0.0165044367313385\n", + "Epoch [80/500], Loss: 0.016341200098395348\n", + "Epoch [90/500], Loss: 0.016260594129562378\n", + "Epoch [100/500], Loss: 0.016215266659855843\n" ] } ], "source": [ - "# Method 2: Hessian weighted Gauss Newton\n", + "from cola import Auto, CG\n", + "# Method 1: Hessian weighted Gauss Newton\n", "p = flat_p.clone()\n", "\n", "gnh_losses = []\n", "for epoch in range(epochs//5):\n", - " g = torch.autograd.grad(flat_loss(p), p)[0]\n", - " p -= cola.inv(GNH(p),tol=1e-3, max_iters=20) @ g\n", + " with torch.no_grad(): # don't pay extra memory for recording the computation graph\n", + " g = torch.func.grad(flat_loss)(p)\n", + " p -= cola.inv(GN(p),alg=Auto(tol=1e-3, max_iters=20)) @ g\n", + " loss = flat_loss(p)\n", + " gnh_losses.append(loss.item())\n", + " if (epoch+1) % 10 == 0:\n", + " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch [10/500], Loss: 0.08653374761343002\n", + "Epoch [20/500], Loss: 0.023038014769554138\n", + "Epoch [30/500], Loss: 0.018084317445755005\n", + "Epoch [40/500], Loss: 0.0170273520052433\n", + "Epoch [50/500], Loss: 0.016643397510051727\n", + "Epoch [60/500], Loss: 0.01646246947348118\n", + "Epoch [70/500], Loss: 0.016362380236387253\n", + "Epoch [80/500], Loss: 0.016300752758979797\n", + "Epoch [90/500], Loss: 0.016259804368019104\n", + "Epoch [100/500], Loss: 0.016231024637818336\n" + ] + } + ], + "source": [ + "# Method 2: Natural gradient descent\n", + "p = flat_p.clone()\n", + "\n", + "natural_gradient_losses = []\n", + "for epoch in range(epochs//5):\n", + " with torch.no_grad(): # don't pay extra memory for recording the computation graph\n", + " g = torch.func.grad(flat_loss)(p)\n", + " p -= .5*cola.inv(Fisher(p),alg=Auto(tol=1e-3, max_iters=20)) @ g\n", "\n", - " loss = flat_loss(p)\n", - " gnh_losses.append(loss.item())\n", - " if (epoch+1) % 5 == 0:\n", - " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')" + " loss = flat_loss(p)\n", + " natural_gradient_losses.append(loss.item())\n", + " if (epoch+1) % 10 == 0:\n", + " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can see that the 2nd order methods converges much faster per iteration than first order gradient descent, with the Hessian weighted Gauss Newton performing the best. Try playing around with the gradient descent learning rate to see." + "Performing solves with these matrices for the 2nd order methods, we see that the optimization converges much faster per iteration than Adam." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -386,10 +419,10 @@ } ], "source": [ - "# choose some nice colors for the plot\n", - "plt.plot(gn_losses, label='Gauss-Newton', color='darkgreen')\n", - "plt.plot(gnh_losses, label='Gauss-Newton-Hessian', color='darkblue')\n", - "plt.plot(sgd_losses, label='Gradient Descent', color='brown')\n", + "plt.plot(adam_losses, label='Adam', color='brown')\n", + "plt.plot(natural_gradient_losses, label='Natural Gradient Descent', color='darkgreen')\n", + "plt.plot(gnh_losses, label='Gauss-Newton Method', color='darkblue')\n", + "\n", "plt.xlabel('iterations')\n", "plt.ylabel('loss')\n", "plt.yscale('log')\n", @@ -398,12 +431,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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0uJa1nw7nOGNqejSCIFTgncwWuLu733erJxE8VYGSpTpTlQozETwJggCgKMBco8DYQo0a05oejSAIFbDAAuC+U25E8CQIglCVYsJAyqXZWBUZU604woSaHpEgCFVMBE+CIAhVScrHb6wBK+eOEYGTIDyiRKkCQRCEKpY71bqmhyAIwkMkgidBEISqEn0S0KNFX9MjEQThIRLLdoIgCP9VTBhI+YAe9722fND4z5oekSAID5GYeRIEQagCAWONROAkCI8JETwJgiAIgiDcBxE8CYIgCIIg3AcRPAmCIFQBHdqaHoIgCNVEJIwLgiCUIUkSYbm5XMrPxwDwNzPDVaOp/AHFO+zSp9qypXG/6hqmIAg1SARPgiAIxQ5nZvJNdDQReXmlxxRABwsLXnd3p76RUfkHxIThN1ZJ+lRrkSguCI+ROrVst3fvXgYMGICLiwsKhYINGzbc9TEhISG0bNkSjUZDw4YNWbx48W3nzJs3Dw8PD4yMjAgMDOTIkSNVP3hBEGq13enpvBgZSV5eHmOAd4C3gAFAeGYmE8LDuZqfX+FjxYyTIDxe6lTwlJOTg7+/P/Pmzbun869cuUK/fv3o2rUrp06dYvr06Tz77LNs27at9JzVq1czY8YM3nvvPU6cOIG/vz9BQUEkJiY+rJchCEItk6vT8fblyzQGJgCNkafljYCWwDOAWqfj/atXbz6ouIedhFT9AxYEoUYpJEmqk//yFQoF69evZ9CgQZWe8+abb7Jp0ybOnTtXemzUqFGkp6ezdetWAAIDA2nTpg0//vgjAHq9Hnd3d15++WXeeuutexpLZmYmlpaW7AsIwEylevAXJQjCQ5dRVMTW1FTitFo0SiUdLCzYmprKqqQkpgNWlTzuAvAnsMrXF+/UCEoKYm5p3E/0sBOEOurjzNZYWlqSkZGBhYXFPT/ukc55Cg0NpUePHuWOBQUFMX36dAC0Wi3Hjx9n1qxZpfcrlUp69OhBaGhopdctKCigoKCg9HZmZmbVDlwQhCqnkyTmxcayPCEBnSRhrVCQL0ksiItDAdSj8sAJwBtQA4ezsvAGURBTEB5jj3TwFB8fj6OjY7ljjo6OZGZmkpeXR1paGjqdrsJzwsPDK73unDlz+OCDDx7KmAVBqHppRUVMj4zkbG4uTwJtADNJQg/sBUKQl+juRIX8hlmoF33rBOFxV6dynmqLWbNmkZGRUfp148aNmh6SIAgV0EsS82Ji6Hn6NGdyc+kHdAXMiu9XAhJgCMQARXe4VjKQC7jfqWyBIAiPhUd65snJyYmEhIRyxxISErCwsMDY2BiVSoVKparwHCcnp0qvq9Fo0Ig3UEGo9b6JjmZ5YiL2gBY5+ftWJcFTDnCmknMADgJqhYIuufGAmH0ShMfZIz3z1L59e4KDg8sd27FjB+3btwdArVbTqlWrcufo9XqCg4NLzxEEoW4Kz81lWWIiPQEdcs5SRW94TsgzSo2AzcBZyodGhcBu4ATQ3lCBmjyajVWJ8gSC8BirUzNP2dnZXLp0qfT2lStXOHXqFDY2NtSrV49Zs2YRExPD0qVLAXj++ef58ccfeeONN5g8eTK7du3izz//ZNOmTaXXmDFjBhMmTKB169a0bduWb7/9lpycHCZNmlTtr08QhHuXr9eTq9NhrlJhqCwfFkmSxBtRURgBbYFjVP5J0Rt5GU+FXKLgL2AX4Im8jHcRyC9+/LsW8g67VWKHnSA81upU8HTs2DG6du1aenvGjBkATJgwgcWLFxMXF8f169dL7/f09GTTpk3873//47vvvsPNzY3ffvuNoKCg0nNGjhxJUlISs2fPJj4+noCAALZu3XpbErkgCLXDwYwMlicmEpqZiYS8lBZkbc04R0cam5gAcDonh2itlqbIb3JOwCWgF3LF8LJUQG9gLdAMGAmEA/HIS3o2QCzwopkh3ccbkgIicBKEx1ydrfNUm4g6T4JQPebHxvJLXByugD9gDiQBJ4Fs4HMvL7paWfHulStsS03FGxgGXAaWAsOBphVcVwv8iLx8pwNckIOqWOSaclNNDZhsUoTfOCUZU61EiQJBeESIOk+CIDwSErVa8vR6bAwMMDe4+Ra1Iy2NX+Li6A48wc0ZJF+gA7AOePPyZdY0aUJUXh7WyEFTIfISnG/xObnIgZe6+PGxwFZAq1DwW+PGROXlcSYnBz0w1NiYp7QpWCnkPKdVc8eKWSdBEETwJAhCzZMkiX9TU1mZkEBYcVNeJdDVyoqJTk40MzVlaXw8DYBOFTzeABgMfCtJrElKQqVQYAUkAkeAjsBQ4F9gExAMOCDvsEsBHA0N+aVBA5qbmeFvZsYQe/ubF49JxW+MASvnjhGBkyAIgAieBEGoYZIk8dG1a6xPSaER8jKbGZAAHE1PZ0J6Ok87OHAuN5fhd7iOIdAc2JySwlN2dqzJzSUQ2IGc8B0IDAKeBPYhJ4LnABMdHXnJ1RUDxa3ZUIIgCBUTwZMgCDVqbXIy61NSGAQElDnuAbQG1gNLiht1W9/lWtZAhk7HMHt7liYkYAh0Bg4g12myQ85vSkN+82tuYsKrbm5V9loEQXg8PNJ1ngRBqN0kSWJZfDxNKR84lVABA7mZn5R+l+ulA5YqFW4aDdNcXdkPZADjgZ6AO3IAZQ6YKpV83KDBPQwyHwmxr0YQhJvEzJMgCDXmUn4+17Vanr7DOYbIgdUJ4CjQpJLzCpErhA+wtQVgspMT5ioV82NiOKXTYVx8ThHQ0tSU2R4ed261EhMGUj7NxirImGol8p0EQSglgidBEKpcgV7P5fx8CvV63DQabAwNKzwvs0juJne3DcKWxf+9AuxH3m1XVhHwN1AAjCyT7D3c3p5BtrbszcjgRkEBaoWCthYWNDQ2vvuLKA6cxA47QRBuJYInQRCqTLZOx8K4ONYnJ5Oh0wHy0ltXKysmODlR38gIU6USZXFytm1xUJUC2FdyzZL7LYB6wE7kIpYB3KzzdALIBOY0aEB9I6NyjzVUKulufbdsqYqJGSdBECoigidBEKpEVlERz0ZEcC0/nxbI1boNgavAofR0gtPTkQArlYoh9vaMcnCgvkaDj7Exx/Ly8KnkunnI/eY6IvefOwVYm5jwb24uAIYKBb2KK4z7FFcYFwRBeJhE8CQIQpX47MYNovPzmQyUbW7kCLQAVgBxgJdOx4r4eDYkJfGLtzeTnJx488oV9iCXEShbMKAA+BN5Z0sr5B51xgoF8xs3BiBHr8dCpUKjFHtfBEGoPuIdRxCE/yy5sJDtqal0onzgVEKNvGuuAHAFpgEanY6XIiPpbGXFCy4u7EZukXIAeXZpG/AtcgXw0cXXOQ70t7PDRKXCRKXC3tDw4QRO0ScBfdVfVxCER4IIngRB+M8OZmRQRMXlBkpYI7dJCUcugjkUSCwsZEdaGs85O/Nzo0boVSp2ABuQA6gAYCpyQvgSwNjAgGednB7Wy5B32EWfpNlYBe57bUUPO0EQKiSCJ0EQ/rNsvR4D4G572MyQZ59ArrfUANiSkgJAOwsL/vXzo4elvLdOAq4jB03LAFtjYxb6+OCgVt962SrlN1bJqrljReAkCEKlRM6TIAgP7Hp+Plfy80ktLKQIeVecbSXnSsi95hzKHLMGUovLFQCYqFR82bAh1/Lz2ZKaSlJhIaYqFd2srPA3NUUhWqgIglALiOBJEIT7djo7mx9jYjiWnV16TInchLdPJY+5htyvrmeZY+mAncHtb0P1jYx43sWlqoYrCIJQpUTwJAjCfTmYkcGrly7hAAxBzmMqAv4FDiPPLLWk/K65BOAvwAV5qQ4gFbgMjLWxqaaR3wMpHwkxuyUIwp2J4EkQhHuWq9Px5uXLNABGUP4NZCxyE99/gFDAj5t1ni4iB1WjkWeo8oC1yH3oeteG4Km4FQvoyZhqKwpjCoJwRyJ4EgThnm1OTSVHr6cvt795KJFnomKRm/EeArTIuU5OQDsgHnlp7zhy4viShg0xriU1mvzGKlk5dxy/i8BJEIS7EMGTIAilLuXlsTYpibCcHBRAMzMzhtvbl7Y8OZCRgQdgVcnjFUBf4A/kiuCdgJPIAdOG4nMMkRv0vuDsTFMzs4f0SgRBEB4eETwJgoBOkvj8+nXWJCdjjpzHpAc25OayPDGRiY6OvOLqSp5ef9dyBF7IbywhQAzQBhiF3IPuDHAe6GllxTPOzg/r5QiCIDxUIngSBIHvYmJYm5xMH+Q2KCVvDIXISeCLExIwUalw1WgIycpCT+VF4pKRE8jHODhwNDOTFfn5pfc5Ghoy3cGBcY6OqETZAUEQ6igRPAnCYy6psJAVCQl0BQJvuc8QeALIBRbGxfFtw4asS04mAvCt5HqHkBPBX3V1xdDNjUv5+SQXFmKuUuFrYlL7gqbiVizpIlFcEIR7VDsyNQVBqDH/pKSgRF5eq0x7QCtJnM/Opp25ORuRywyUpUPuS3cMeMbZGbVSiUKhoJGxMe0tLGhmalorAyfRikUQhPslZp4E4TF3PT8fe+7cWsUcOUk8JDOTnxo14n+XLrE0Oxs3oD7yMl048i67iY6OjHNwqPxitUzGVCsROAmCcF9E8CQIj7kiSSrtN1cZCTn/KTI3F3OVil8aN2ZfRgZ/JSVxOS8PlUJBN3NzRjg44GNiUg2jFgRBqDkieBKEx5yXkRGbkKuAO1ZyznUgG0CSAFApFHSxsqKLlVV1DFEQBKFWETlPgvAYSdBqCU5LY0daGpfz8gB40soKBbAVefntVlpgB1AynxSn1VbLWB+64kRxQRCE+yVmngThMRBdUMDXN26wJyOjXLjQ0tSUV1xdAbmNyiLkwpaNkJfqIoB9QAryzjuA9KIinNXq6hr6w1EcOIlEcUEQHoQIngThEXctP59J4eGg09EHucSACogCDubkMCUyErVCQYEkkQesuuXx9QAf4GzxbUuVqtrG/lDEhOE3Vkn6VGsROAmC8EBE8CQIj7i3Ll9GqdMxGTAtc7wZclC0UpK4jvxmkAo0QG7ia4Q82xSBHDjZAU4mJrhoNNU5/IdmS+N+NT0EQRDqKJHzJAiPqCv5+UwICyM8L48elA+cShgAfZB30ukBZ2429Q1BznVSAAHIlcPHOzk9/IELgiDUcmLmSRAeQZfy8pgcHo5Or0cNNL7DuXaAG2BvZsbZ7GzMgXbItZ10wEXgFDDF2Zme1tYPeeSCIAi1nwieBOERI0kS71y5gqlejxdyM967ZSlpAGsDA/7w9WVZQgLb09IoLC5L0N7cnDccHelkafmQR14NyrRiEQRBeFAieBKER4RektibkcHCuDgi8vIYC+QAWUA6coXwihQh13jqqNHgY2LCx56evFu/Ppk6HaZKJSZ1PUG8hNhhJwhCFalzOU/z5s3Dw8MDIyMjAgMDOXLkSKXndunSBYVCcdtXv343E0UnTpx42/29e/eujpciCFWmUK/n9cuX+V9UFNdzczECvIAmyLNKh+7w2DPIBTAH2t6cjdEoldgbGj46gVMxr732IlFcEIT/rE7NPK1evZoZM2Ywf/58AgMD+fbbbwkKCiIiIgKHCnpprVu3Dm2Zgn4pKSn4+/szfPjwcuf17t2bRYsWld7WPCK7iYTHx1fR0exNT2ckEIscECkBNfAEEAxYAIHcXMKTgDBgCxBkbU0D4zt1txMEQRBK1Kng6euvv2bKlClMmjQJgPnz57Np0yZ+//133nrrrdvOt7GxKXd71apVmJiY3BY8aTQanMQuIqGOSi0sZF1SEl2QazjlA5ncXKp7AsgDtgMHkcsTqIBI5NIEnS0ted/Do7qHLQiCUGfVmWU7rVbL8ePH6dGjR+kxpVJJjx49CA0NvadrLFy4kFGjRmFqWn7TdkhICA4ODnh7e/PCCy+QkpJyx+sUFBSQmZlZ7ksQasrWtDQAWhbfboJcn6lkqU4B9AKeRw6crgMXkAOnTzw8+MbLCyNlnXkreDAxYYAerWjHIghCFagz75jJycnodDocHcu3LnV0dCQ+Pv6ujz9y5Ajnzp3j2WefLXe8d+/eLF26lODgYD7//HP27NlDnz590Ol0lV5rzpw5WFpaln65u7s/2IsShCqQpNViwc3ecxrkFiuHgP3c7FfnBPQFOiLPRA2ytaWvrS0KhaKaR1zNok+ClFuaKH6ECTU9IkEQ6rg6tWz3XyxcuBA/Pz/atm1b7vioUaNK/9/Pz4/mzZvj5eVFSEgI3bt3r/Bas2bNYsaMGaW3MzMzRQAlVKsiSWJvejobkpM5l5NDDnJNppJ8pieQl+92AqHIdZ6UyEt1mcg5Tm/Xq1cDI68ZYoedIAhVqc4ET3Z2dqhUKhISEsodT0hIuGu+Uk5ODqtWreLDDz+86/M0aNAAOzs7Ll26VGnwpNFoRFK5UGOSCwuZFhlJRF4e7sgFLs8C4UDT4nMUQE/AHzgGXEZepjMF3NVq5nh6PvozToIgCA9JnVm2U6vVtGrViuDg4NJjer2e4OBg2rdvf8fHrlmzhoKCAsaNG3fX54mOjiYlJQVnZ+f/PGZBqGqFksS0yEji8vJ4BngGGIrcVmUrcpJ4WQ5AF+QZKWvADGhobCwCJ0EQhP+gzgRPADNmzODXX39lyZIlhIWF8cILL5CTk1O6+278+PHMmjXrtsctXLiQQYMGYWtbvqpwdnY2r7/+OocOHeLq1asEBwczcOBAGjZsSFBQULW8JkG4H1tSUojIy2MEUHaheBRyHtN85LIEsUA8sK/4WBZyrlMcMMTevlrHXKOKE8UFQRCqUp1ZtgMYOXIkSUlJzJ49m/j4eAICAti6dWtpEvn169dR3rJrKCIigv3797N9+/bbrqdSqThz5gxLliwhPT0dFxcXevXqxUcffSSW5YRa52hWFh9du1a6VFeWJXIy+EbkcgT7io8bAM2ABsA2wN/UlA4WFtU04hpWXFG82VgVq0RhTEEQqpBCkoobWAkPLDMzE0tLS/YFBGD2iFVkFmqHiNxcJoSHgyTRCrn0QEWOAf8iL9N5Ijf3TUCeifI3NeW7hg2xNKhTn5keTExYuR12giAIFfk4szWWlpZkZGRgcR8fLB+Dd1FBqPt+jYvDXJJQAAV3OK81YAcsBgo1GrIUCrw1Gt6yt6eDhQWqxyjXyW+sASvFjJMgCA+BCJ4EoRaLLShgeUICu9LT6QOkAaeA3siFMCtyFTBSKPjD1xdzMRMqCIJQ5UTwJAi1kCRJ/Bofzy+xsRgg96Grh9zs9xCwC3np7tZ5pETgCNDf1lYEToIgCA+JCJ4EoRb6IzGRn2Nj6Yyc7L0I0CJXCQ9CLkuQArQDXJELYp4GDgBuRka87OpaI+MWBEF4HIjgSRBqmVydjl9iY2kLdEVur2IKnEOefWqHXK8pBFha5nEKwMnQkN+9vbF4HJLCBUEQaoh4hxWEWuaPhATy9Ho6FN82QG76ewhogVwQsxlyNfFo5Dyo68g77d738BCBU3GJgvSptnc9VRAE4UE85u+yglC75Op0LI2PxwKwKnP8CSAKeRddJyAAeTZKw83AaYS9PW3MzatzuLVPceAkShQIgvAwieBJEGqRLamp5EoSZshJ4iUJ4RpgPHKhy93IDX8VxedYq1RMd3JivKOjaLsCeO215+/GfWp6GIIgPMJE8CQItcS1/HxWJybiCsQgzyjVL3O/ETAQueHvCeQAaqyDA6+4uqJW1qlOS4IgCHWaCJ4EoYbtTEtjUVwcF/LyUAKByLvndiLPNt1az0kDXANMlUoROAmCINQA8a4rCDVoYVwcr1++TEFeHiMBWyAbGITcxPd3IBzQIbe3jULeYRcJTHByEoGTUKvodbqaHoIgVAsx8yQINeREVhY/Ftdy6oKcw5QE7AX6AJOAzcCq4vsUyAGUCfKs04TihtiCUFOyY5JIOnmJy+v3E7V+PwVp2ajNjWk4ogvNXx6Mvb9XjY0tIyqWyxsPUpiVi6mLLV5Dn8TI+jHfUCFUGRE8CUINWZGYiAM3AyeQSxLsA/4GhgNTkJv6xiAnhxchL+dNdnAQs063Kt5pp0Vf0yN5pEmSROSq3Zz6di0JRyJQKBUYWRvRamoAto1sSL+WwelFBwlbvI3uv83Ed2Lv2x6v0xZyY8dxIv/cQ0FqJsb2VjQe3Q33Hi1R/Mff69yEVHZNmcuVfw5hYGSAxsqY3KQc9r7yI34vDqTDZ1NQGojq+8J/I4InQagBkiSxNyODzpRvsWKGHDStBn4G2iJXELcCzgDngfYWFjzn7Fy9A67NYsJAykeUKLidJEn/aQdmUb6Wyxv2kxYRjUptgGvXACJX7uL09+tx6+CG0lCJ91ONGbT8KQw0N/+cPPnuE2x+cSvBz3yFVWN3nDs0JWbPaU7/sJ4rG0OR9DoknYR9M3usG1iRdOQyYYu3YdPMg4bDO3P1n4PkxCRjaG6CR99ATJxtSTgSTmFOPmZu9ljUdyTp1CUK0rMxtrfCwtOJjMgYchNSSTl7GQONggG/96PpqCYYGhuSHZ/N8fkn2P/JX2THJBG04h2xM1X4TxSSJEk1PYi6LjMzE0tLS/YFBGAm+okJ90Cr1xN48iSDkGs23SoW2A+EIc84gZw43tDEhCU+PhiKN/6bYsIIGAMpU41F4ATkxKdybv4/hC3aQtb1JAxNjajfLxD/lwfj8oRfuXOzY5OJPxSGvrAI26YeWDV24/KGA1z5J5Tks5fJiIymKFeLqZM5RXmFFGTkA9DnpyDiTyZwaXMU06JeKBc4ldDr9CzwX4iFtzc2zTw5+uEf2DSyITcpB1NHUwYufQrXti6AHOSdWXqWTVO3oC/U4z2oMQ7NHYg/HselLZfR6/S4d3RHqVYSfSAaXYEOl0AXjKw0XN97g6K8IpxbOVGQpSU7NptnT0zGtpHNbWM6/+cF1o3cQP9/P8GzX7uH8N0X6pqPM1tjaWlJRkYGFhYW9/w4MfMkCDVArVRiqVKRUEmCrQswAjmA2om8fBcMuKjVInASKpV4/CIbe7+JLj+fZmOb4tyyNbnJuZxeco6/Ou0h8IMJtJ09nsxrCeyf+TOXNxxA0t1c5jQwNqQorxAzV3OyY7Jo8WwA7V8PxLaxLXqdnp+bLMDKw5JWU1vyucVXtH8tsMLACUCpUtJyagDbXt1J1Lr9dJvThbyUPE7+dpqnd4/D3Nms9Nz89Hx2/98ebBvbMPKfEVjVtyT2WBwHPwulftd69P25D0qVgt9aL8K+qT0Dlw7A2NqI31ovwtrLmkF/PIWttw3fuv5AqxdaVhg4ATQZ7svBLw5z9qe/S4MnSa8nOuQ0mVfiMDBS49a9JaZOFT9eEEqI4EkQqlGeTse2tDQu5+fjptFwKjeXLsjlB26lQ2726ws4AonAE5qKzhQEyE/LYmPft7D2NGP05smY2JmU3tdxVgf2f3KAkHeXoNQYcOa79agMdQR91wPfYT6kRaWzrMcKHAMc6Pz+E6zs8ycd3+5At0+6lF4jMzqL1IupdPu0C9psLYU5hdj63LkFjq2PLUoVNOzXmHYzA/nG6XsCJjcvFzgBnPr9DLlJuUw+NAELN/nT/57Ze7FpZM2ojSMwMDJg8wtbUBkqGbdjNMY2xux8PZiivCLG7RyNmaMZccfjyE/Lx3eYT6XjUSgU+A715sBnRwAI/2MHR95fTMbl+NJzlAYqPAa0x6m9L4WZeagtTPB8qgPW3u73/LMQHn0ieBKEarIqMZEfY2LI1euxVSjQShL5wEpgJGBc5txC4B8gBXgKOd8pGxhkZ1fdwxZqoaK8AlLOXUFfqMPSyxkTRxvCFm2lIC2bEacmlAucQA4aOr3zBNGHYjj0ziIs3S2YFDoBM0c5iNn8wlYs3C0Yt300+z89iNpMzRNvdyh3jYKMAgAs3MwxNDFEaaAkKzrrjuOMCY1BXyTR+sWWZMfnkJeah0d3j9vOO73oNL7DfEoDp/RrGVzaGsVTv/fHwMiAwtxCzvxxjvavBWJsY4yuUMepRWcImNy89DXodfICt0p959QJA40KSafj5Ndr2D9zPr7DfBiyrBcubV3ITc5l3cgNXPn7AFf/OYipkxkF6fkceGMB9YJa02PRG5g6i56JggieBKFaLI2P55uYGFoh96mzLk41PApsBeYCzQE7IBN5xqkAGAxkAVuA3tbWeBoZVf/ghRqRl5JBxLKdZFyKRaUxxK17C5zbN+HoJysI+30z+anZAChUShoM7EDC0XB8Bje+bVanLO+nGnNpUxRdP+1cGnRkxWZx8e9Iev/YC7WZmuiD0Xj1boDaVF3usSb2ckCWHJ6Ca6Ar3oMac+r307SbGVhp8vX51WEA2PnYojSQd9HpCm5fqs64non/JP/S28lhySCBRze5xn5mdCaFOYXU7yLfzk3OIy8lj/pdb9bgt2lkjUqj4vKOKzgFVF7GI2r7FQxMjdg/cz7t32hH98+6olAokPQS217ZwY2D0XT+oBMtp7bA1N6UooIiwtaGs/ON3fz15HSGh/6IsZ1lpdcXHg8ieBKEhyylsJAfYmLoAPS65b42QCNgEfLskg65cq0d4IRctiAR6GxpyXseHtU25jpFyqcIBeXn7uqutIs3OPrxci6t3g1I2HrbUZBVwMm5azAwNkRpoKDlcy1oOtIXAxNDru+5zr5PDpKblINdE987XjsrNhuloRLfITeXtpLDU5D0Eg16egIg6aUKZ2/Mnc3w7OHBsXnHaT7ej7avtmFJpz/YNSuEbnO63BZAHfzyEMkXkgF5yc+tnSvWXtaE/RWOz2DvcueqTQ3JTc4tva0ylAOtovwiAJSG8niK8opvGyjK3QYwtjamyXBfjv14jJZTAjCyuv2DRuyxOC5vu4zSUImRtRFdPniydNyRmy9x4c8whq4ZTJNhN7+PBhoD/MY2w629K7+1XszRj5fx5LcvVf5NFh4LolCMIDxkG5KTUQCdKrnfCrlnXRHwlrs7g+zsMNVoyNBo8LeyYkHjxnzj5YWRqOtUXkwYRJ+k2VgFGVOt6vxOuyv/hrK248ss855IxLIddHgzkFejpzH1zDO8fPkFvIIaoFIrmXRwPD2/6o5LGxccmtrT8rkWKJAwNDEkK+bOy2g5iTkYGBmUC46UKjl40GnlGSH7pnZc3XUVXeHtM0TtX29H7NE4dswMxr2DGz2/7sHBz0NZ1GEpp5ec4cbBaM6tPM/SbssJfmMX9q0aY+Zux8mFp1EoFbR6oSUX/gwj5nBMues27NeQc8vPoy+Sk9edWjphYGxA2NpwACzrWWBZ35ILf8ozWSZ2Jtg1seP86gvlrtNp9hMUZGlZ3msl8acTSo/rdXoiNl5kec+VmLmYYettg+8wHwyMbs4fHP/pBM6tncsFTmVZN7Cm5dQAwhZvpTAnj6J8LZfW7eP0D+u5sGgrOfGp5KdmknktgcKcvDv+HIS6T8w8CcJDdi4nh/rceV7EE7kUwZL4eNY2bYqxKHlxT/zGKlk5dwxHmFDTQ3kgkl7P9R3HOfjWApJPXcaxpbzc1OubHgS+2rb0vJyEHK7sukqPL7vh0Myh3DUu/hNJVmw2Ac/4c2F1GL2+7oHarPySW4nk8BS0WVqSI1Kw85Zzdxz9HTEwNiB8XQT2TexpObUlx+ef5MySs7R4NqDc4716NcB3uA+HvzlCxN8X8Z/YnMD/tSF8/UU2Tvy39DyXNs6ggGZT+6PNyOHgmwto1NeL1i+2JGJ9BMt6rqTLh0/iP7E5RlZGNBvTlFMLT7P73T10+7QLxtbGNBvTlCPfHaXZ2GZY1bek1fMt2PP+Plq90BLXti60frEl217dwdWQa3gUL+fZNrJh3M4xrBnyF78GLMTBzx4LNwuSLqSQcS0dEwcTnjv9DEs6Lbvte3TjYDQd3mx/x5+X7xBvDn4WyoE3fyVy1S7yU7JQqlXotToUBkqk4uBPaaiiweAncGrni9rcBI21OfWC2qA2ezRmRwURPAnCQ1EkSezPyOBCbi6X8/Op+E9ZeUogobCQz2/c4H2xRPfIK0jPZtPgd4kJOQNAuxltKcovIic2m9YvtCp37qUtUegL9fhPaH7bdWKPxmFZz4InZz/B2WXn+OfZTQz64ylUhuUD8PANEVzbcw21mZrD3xyh3/w+ABhZGeE3thlHfzhG8wnNcQpwxH9icza/uJXCvEJaPBuAobHcnjr9ajpFBTpQyInZBz8LpTC3EGNbY1pOCaDxYG+c/B3Y99F+kiMyaDy6GwbGahKPR7B2+Hq8Bzai9bTWnFlyhh2vBbPz9V2ozQzRZheiUCk5+Fko8ScTaDOtFa1faEnU1sss6rCErh93psVzAVzcGMmyHit4cvYT+I1rRsSGi6zsu5on/q8jLacEYOpgipmzGc0nNOPAp6HkpOgx9XTArpUzGdf2M3jFQEztTLFpaM2NA9Hlvj+VLVeWpSheTjw77295jNNacfznkxz57ijuHd0ImOyPib0xh78+wuX1+7j0557Sx6rNjWk6dQBNJvfmwsItRP65m4LULIztLWk8pgfNnh+AubtDZU8t1DIieBKEKrY3PZ1Prl8nsbAQSyAfOZepgIpLEgDcKL6/JbApJYVXXF2xMTSsngEL1U7S69k0+F1STkfi1bsBSeeT6f55NxY/sRSv3l63/RHXZmlRaVQV5vFIkgQKBZb1LBm8fCDrRm9gwZmFtHm5Fc4tnchNzuP0kjOE/xWB7xAf3Nq7smNmMBbuFnR4vR0qtYouHz3J5R1XWNxxCd3mdCXoh56o1Eq2vbqDkHf34tLGGW12ITGHY1FbGOM7sTdhi7bSdnobOrzRDnNnuWdcTmIO+z89yPH5J+n848ulMy1By/8Pty4BnP5hPetHb5AHrlRg19wTx8Am2LdoiNeQTsSEnOLYp8tZPWBN6etTGRvyz+RNKA1VGJoYos3SEvzmboLf3I2BiSFFeUXsmb2XkHf3YGiipjBHi4GJBr8XB9Lxi+dQadRcXL2bqHX7cW0jF+VsMSWAPweu5dqea9TvLM9aOfg5cHnbZdrPDKz053bi5xMA9P25N62eb8npxWc48t1R+vwUROsXWiHpJdaP/Zuru6/R9pU2tHq+BTYNbci4nsGJBacI/XItp75Zi8ZSQ/Onm2FZ35K0S6mc/fEvTn+3jr7rP6Bez9YP9kslVCsRPAlCFQpJT2dmVBRewCDkYpcZwLdAKHIfu1vpkZsBWwPdgVPA7vR0htrbP/wBC9Ui82o8Z3/eSNTaPRSkZ2NgakT2jWTGbB3FhnF/0+K5FqW70ahg45q5mzm6Ah0pkam3FYB0auHIwc9CSTyfhO9QHybsfZp9H+1ny0vbSsvT2/rYEvR9T1o93xKFUkF+ej4h7+zh8NeH8Rkq5/4o1SrSozLZMG4jhqZqNBYaUCgozC0i7YYO+4BGdJ08Eu8x3TAwMcKmaX0O/d/vHP/pBK7tXAGIDo1BoVLS6ZsXaf7SoNIxKpRKmk0dQNPn+pN1LYGi3HxMnGwwsilf0bnhsM54DX2SlHNXStuzOLbxJvtGEle3HKEoJw/zeo44tW/CjeATFKRnY+JojcsTfsTsOU1+itwnz3NAezRWN3cdGprIH1tyU/LQWGho1K8hbh3cWDN0HUNWDsKzhwctp7Zg44R/iD4Ug1vx6ykrLy2Ps8vOY9PYhpZTWyBJEqFzD+M9qHHpTOH5Py9wftWF25LOrTys8B3mQ+iXh/AZ0piBSwaUzuYBdJvTlb9GbWDToNmMOvkL1o1FTanaTgRPglBFCiWJj69doxFy3aaS9G5L5GTxEOQZqHaAafF9yciVw6OA0cXHjYD0opu7iIS6R5IkYveeIWbPaZLPXuHK3wcwNDXEb0wTLNwtOLHgJHa+tjTo5Yk2uxAzR/k3wqmlExEbLqIr1JVbdmvUtyHGtsYc/f4ovX8IKvdcPoO8MXU0Ze8H+xi6ejBu7VwZvWkk/07ZxOnFZ+k9L4iWUwLK7YZrMrIJx38+CQZG3DiaiVRYhG0LPzrPH4Cpsw1XNx2mMCcfc3d7Gg57ErWFKbdqOXMEvhODCFu0jaQTkQB0+KwvvhODbguKSigUCiw8nO74vVMoFNj5NcDOr0HpMUsvF/ynDSp3XtNn+pa7fafrujzZHAMTDWf/OMuTszuhVCkZ9c9w/hy0luW9VuLgZ49TKyeM7YxZ0XsV/X/ri88g79KANu54HP8+txVdoY5mY5qiUChICksm6VwS3T/vWvo8x+Ydx6Nr/QqTzkO/OoSVhyWDlw28bWZRY6Fh+Noh/NDgZ05/v54uP75yx++RUPNE8CQIVSQkPZ2UoiJGcPs21q7Fx/YBB5DLEOiBeORE8hFAYyAHyAOsxZJdnSJJEtrMHJSGBqScu0rw5C9IPX8NjaUGbZYWn6HeDFw8AEMT+ed6YU04Lm2cUSgUmLuak3A6EYBWz7fk+M8nOLHgJG1eurl8Y2BkQPvXAtk1KwT7ZsU77IqDIZVaReD/2rLrrd1sMNxIl487Y+1pRZ95vcmMzmLz1C2cWXqWpiN8i+sgXSViw0VsmtRj4PYvK2xFYuNb/7ZjFTG2taTlayP+67fvodNYmuEzvheHvt6B9yBvHJs7YGxjzPiQcVwJvsrJ304RteUyeWn5WHo48dfw9Zi7WWDna0tOfA6JZxOx8HREZaQp/Rnmp8o76izryzWfigqKuLE/mn4L+tz2/NocLWFrw+k2p2uleVWGJoa0eLY5R77fTufvp6Eos7tWkiTiDpzj7M8biTtwDkmnw6aZJ82mDsBzQHuUYoNJtRPBkyBUkbM5Odgit1K5lQJ5ya4N8DNyflN95Fmopsg77QBOAAYKBd2srB72cIUqkJeSwdl5f3N+wb9kx6QAoDBQ4tzSiXE7R3P8l5Mknklk8PKB5WaSDIwMKMiUK3Y3n+DHgTkH6fZZFxybO8i7yF7ZQX5aPq1fbIWxjZw35NndAzNnMzY/v5XD3x6j6UgfDE3VXNtznUubozBzt+fipiucW3kBR39HlAZK4k/GodIYkpWoZ8fMXeh1emyb1uPJ717CZ0LQY7X7q+PnU0g4fIElnZbRelpL/MY1w8jKCG22luz4HHISc+m55E18nu5J4omLhC/dQU5MMrZuJrT5uCMefQNZ2/Flru25TofX25UWDU27lIZDU/vSUg9q89u3h+Qm5aIv1OPgd+eleAc/B7RZeWizctFYysuOkl5PyIvfce6Xf7FpZIvfqMYoDZVc3nGVzYPfw61bAP02fITa3OSO1xaqlgieBKGK6CUJpUIBxdXDK2Ja/GWP3HalrMvIuU+DbG2xMhD/NO8oJgykfKSKEoSqQdLpKK5tPsypb9ZQmJNH83FN8ejWid1vh6Cx1DB+91h0hToieq+mx1fdbtv51qCnBwe/OERBZgGtprbg6A/HWD1gDSP+HkbQ970wNFWz98P97P/kILY+tuSn55NxNQOzevY8+f0EYvee4ei80+i0RVj7uNPt1xl4j+mOJElErtpN/OEwJL1EowlD8Xm6BxpLMzmxXJLKzWg8TtQWpgwJ+YZD7y7i6I/bOPDpwdL7nNr78tTmT6nfWy4P4dCyMQ4tG992jaZT+rHruW9IOJOIg589zq2cOD7/BN4DG6M2U2PqaMqN/dE0G9W0/HMXB1TZ8Tl3HGNOgnx/1rUE0guiOfvTRi5vPEBBWjb9FvShxTMBKJTy73zXjzpzeecV1g5dx/Zxn9L/748f/Jsj3DeFJN3hnV64J5mZmVhaWrIvIAAzMX362NqYnMz7167xMlBZT/ZM4BvkmagAoAFyccwLQCTQztycbxo2RPOY/oG7JzFhIOXSbKyKVXPHVmuNp4RjEex95QfiQ8NQGCiwcDVn/J6nsapvSeyxOBa2WcTIjcNpPKARyREp/OzzC+NDxpbu6CqRGZPFd+4/0HJKC/rO703c8XhW9l2NNktLkxG+OPjZk3opjTN/nKUotwjHtj60/r+xePQLFEs0VUCbnUf8oQvo8gqwaOCCbVOPe3pcUV4Ba9q9RH5yMoOXP0V2XDbrx/xNtzld6PBme0Le3cOR74/xUuTzpe1vSiwMXISBkQET9jxd4bUlSeLXFgtJCkvGpoknyaeisHC3JCcxm8Dpben+WdcKH3du1XnWj/6bUSd/wT6g4X19HwT4OLM1lpaWZGRkYGFRca5eRcQ7tCBUkZ42NpgqleyjdJPTbQ4gT/e2R+5ftxbYACiMjXmnfn2+a9RIBE53I+Xjtde+2gOn+EMXWNf5f1CQzhP/1wGpSGLIykFYFee8RIdGo1KraNjXCwBN8WxDTmLubdeycDXHubUzJxacZGW/1RRk5DPl+GTavdaWyzuusGtWCKeXnMHS3QJje0uG7v+OBk91EIFTFVGbGVOvRys8B3S458AJwMBYw1PbvsDU1Zk/ui7nwJxQ7JvZs2tWCL80/03etWioZFn3FSSFJZd7rEMze67vvcGxn49XeO0Dn4WScDoRq/qWJJ+KIui7njz5Xkf0hXraTGtV4WMAmgzzxczFnLBFW+/5dQj/nVgbEIQqYqxUMsbRkQVxcaiAzoB58X05yMnih5H723UArgHNra15x8MDYxEw1WqSXs+OCZ/h5G/PuJ2j2TR1Cw5+9qVb9OVzJBQqRemyipmzGU4tnTiz5CxNht+++6rX3O4seXIZCacTWdZjZelxpaES3+E+NB3VhL9GbKD122NRGYq36trC1MmG4YfmcWPnCcIWbyU7JhnHtrboCrTseW8fkl5Cm6VlfpMF1OtcD9tGNqRfzeDKzisAbHlxG5e3X6HFlIDiOk9pHJ9/gqitl+n4dnsOf3OUtq+2oe0rbdjzwT5MHU2xcKt8RkRpoJRnKiOiOfrxMhKOhoMEdi0a0mxKP8zcRMmTh0H8ixSEKrIiMZFfiwOn48jJ367IS3Qxxf/thTzrpAeyABtDQxE41QE3gk+QfjGGgfuextDEkNykXKwbWpfb/u/g50BRXhE39t+gXqd6KBQK2r7cmo2T/uXMsnM0H9es3DXrdapHvSfdub73Bg2CGuDWzgVrL2usG9lw6d9I1o/+G8dAX1q+Maq6X65wFwqlknq9WlOvV/mClrrCIopy81GpDYhat5+IFcHEnErDyMaGtu8/yZH3l9B6WiuuhVxnVb+bvRidWzkxZNUg9EV6ivKKaPtqG0DegVeQWYBOq6t0l54kSSSeSSQ7/jJxe09Rv7M7CqWC018f59gny2k9awyBH068rXGz8N+I4EkQqkBwWhpf3rhBe8APWAD4IwdJEuCDnONUsh/mEnLxzB7W1tU/WOG+SJJExB87MXU0xb2jGwBGNkakhKeUO8+jS31sGtuw/5ODjN4s/wFrPsGPa3uv8/f4jVzafImWUwKwcLcgJSKVYz+f4PreG3j0CyTp3BUub9tfei21uTFNn3uK9p8+g4HRvTT3EWoDlaEBquJdct5je+A9tke5+69vPUz88QSePT6JtKh08lPzMHEwLS18un7c32isNFh7WgHQqJ8XwW/sImxd+G1J6CV2vR1Cdlw27d9oxxOzOpRWoS/IKuDwN0fY894ylIYq2s4e/5Be9eOpzn3knTdvHh4eHhgZGREYGMiRI0cqPXfx4sUoFIpyX0ZG5dsbSJLE7NmzcXZ2xtjYmB49ehAZGfmwX4bwCJEkiQWxsXghzyy5IDf6jUIuTzAUeZmuJHBKB7YATU1MaG56e/FBoXbIiIpl7/R5/Gr9FOHLdmBoalj66b3pyCbEn0wg7nhc6fkKpYJeX/fg8o4rrBu9gfSr6SgUCgb81o8eX3Tjys6r/NFtBfMazWdV/z9Jj9ETtOL/GPDvp4yPWsbgXV/Ra9ks+v39EZNi19DpmxcxMK6soY9QF7WfM4XYo3H8NWIDalND3Du6Y9vIBl2hjjPLznFhTThFeUUUFchFcu2b2OPZ3YPgN3aRGZ152/WyE7I59PVhWr/Ykh6fdyvXvkdjruHJ2Z3oOKsDxz5dQV5yRrW9zsdBnZp5Wr16NTNmzGD+/PkEBgby7bffEhQUREREBA4OFTdUtLCwICIiovT2rVOXX3zxBd9//z1LlizB09OTd999l6CgIC5cuHBboCUIFYnMy+Nifj5juNlZYwiwGJgPtAC8i++7iLycZ2NoyBcNGoip9PsVEwaAFv1De4q85Ayu/BvKnmnfY2hsgHVDC1LCC8m4lkFmTBYWruY06tcQm0Y2bBj/D08Hj8HMSZ5taNSvIUNWD+KfSZu4sCYMlzYuqM3UxB6NQ5tdQOMx3fCdGISpix02TeqX/vyVKhVuXVs8tNck1A5uXQLou/4Dto/7lB88f8K9kztGVkbEHo0jOzaLer1acX37ccLWhuM3Vl7mHfB7P+Y1ns+vrX4ncHpbfId6o1KruLzjCiGz96Iv1NP+jfaVPme7GW059PURwpZso+XM2l/QtK6oU6UKAgMDadOmDT/++CMAer0ed3d3Xn75Zd56663bzl+8eDHTp08nPT29wutJkoSLiwszZ87ktddeAyAjIwNHR0cWL17MqFH3lmsgShU83vZlZPDKpUvMAMqmdeYCB5GDpZL9VkrkpbzF3t74m5XfyizcxUMuUXB1y2FOzl1DdPBJFEoFnj09GbJqID94/IT/pOacWHCS1i+0oudX3QFIDk/mj24rKMovImCyP57dPSjMK+TCn2FcWBOGZQMXHFrJtYKsferR5Jk+mLtX/CHvYTqZBvqHF2tWC6USWjxCK9za7Dwurgjm+rZjFOUXYOnlSpNn+mDv78WGXq+TefEyEw88jYWrvOXkK7uvsaxnSXJYCkX58qyUQqnA0sMSpUrBSxdfuOPzLQxcglUzP7ovfP2hv7a65kFLFdSZmSetVsvx48eZNWtW6TGlUkmPHj0IDQ2t9HHZ2dnUr18fvV5Py5Yt+fTTT2naVF47vnLlCvHx8fTocXNd2tLSksDAQEJDQ+85eBIebyUJ3zmUD55MgB7IS3cZwG7kxPE04HpBgQie7kdxUUz3vbasatyvygOnY5+tJHTWb7i2c8WrdwNiDsUyfO0QCrK0FGQU4NndA425hn0f7cfYxojA/7XFzseOZ49NIvSrQ5z45QSH5h4G5IKIZm72jDm7sEbylcLK1GHM18qB06kh7fHNiar2sVSFMFMvAtaFcjINKvp2+tbBlW+1mTHNnutPs+f633Zf999eY+0Tr7CwzWIC/9cG32E+mLuYY93AmnE7xxB/Mh69TsK+iR1HfjjGhdVhd32+wtxCMqJi+TPwRdLCb6A0UOLypD9+Lw3EvXtLMQP+AOpM8JScnIxOp8PRsXzzC0dHR8LDwyt8jLe3N7///jvNmzcnIyODr776ig4dOnD+/Hnc3NyIj48vvcat1yy5ryIFBQUUFBSU3s7MvH0tWnh8+JqYYKxQcFqScK7gfgPkkgWXkJfwQpGrkQv3J2CsESlQ5YFT6OxFHPtoGZ1mP0Hn9zvxndsPNB/fDLWZurTlRkGmls4fdOLixkh2/98eQr86jFdQAxRKBVd2XkGbXYj/RD98hvmwuv8anvx+Yo0ETiWzTIe2dyk91mLuBXypm4ETgG9OFKeGtCf/+dvzv9r1CuGk9tGalTKv58jw0B85OOs3Qt4JIfiNXQAkXUim59fd8ezuWXpuvSfcCf3iELFHY3Fp41Lh9a4fjCY5LAlJn0jDPg3xe7cdhXlFXPgznL97vkGTZ/vQ7ZcZj23l+QdVZ4KnB9G+fXvat7+5FtyhQwd8fX355Zdf+Oijjx74unPmzOGDDz6oiiEKdVyRJPH2lSvkSxJHkHfVedxyjh7YCmiR27IAeBk/Pj3FarPQ/1vIsc9W4BjgSOf3O6FQKMhJzMXW2xYAI2sjnFo4cn7lefzGNGXEhqH81up3FEoFKREpGJqpaTqqCS2eDSA5PIW/x/+LUztfGo/uVi3jr2yWqUXOhWp5/urimxMFc28/fmq+HFTpe4VgUkGKal2clQIwc7Wn19JZdPr6RRKPRVCQkcO+6fNY1X8NozePKK371LCvF5b1LQh+azdjto66rQ2QrkjHmoFrMbY2ZuyO0TgF3Jwo6PROR04vPsM/z2zG3N1B7Ma7T3UmeLKzs0OlUpGQkFDueEJCAk5OTvd0DUNDQ1q0aMGlS5cASh+XkJCAs/PNOYOEhAQCAgIqvc6sWbOYMWNG6e3MzEzc3d3v9aUIj5DlCQkcyMhgBHIRzKVAK+QyBcZAHHJhzBvIvexOA42NjWlqIpp41qSkk5HsefkH4g6cBwW0mtqidOnCyEpDxg15NlmhUND6pVb8O2UzF/+NpHH/RkzY9zRrhvxF/MkEbL1tSDiTyB/dV5CblEu93q0JWvEOKs3Dn3V6FGeZ7ldJUHWILhXen1scVNXVIMrYzrK0355tM082Br3BDw1+xneYD04tHMlNyqUgu5Cru6+xrMdKnnzvCTy6yq2AbhyIZvv/dpKbnMvY7eUDJ5B/twMm+ZN0LomT36ylxWsjMKwoAhUqVGeCJ7VaTatWrQgODmbQoEGAnDAeHBzMtGnT7ukaOp2Os2fP0rdvXwA8PT1xcnIiODi4NFjKzMzk8OHDvPBC5Ql4Go0GjUZsIX7c6SSJVYmJNAN8gUbI9Z2OA0fLnFcfGASEA9HAPDc3kWNwP4oTxYtQIYek/82N4BP8O+BtVGol5q7mZMVkYVHvZraa7zAfziw5S5cPn0RlqMJ/YnMiN11izeC/CJzehhbPtWDqmSmcWXqGI98f49qe61g2cmXk1rkVNpOtKmE58uxSiUd1lulBtJhb8ffgEF1Kl/ZuZaSuW0GVbVMPRp9dSNiirYQt3krk5kMYmhrRcFh3HNp4c3LunyzrvgK1uQaFQkFBZj6G5sbYeNvi2cOj0uu2ntaaQ18f4crGgzQeVT0zpo+COhM8AcyYMYMJEybQunVr2rZty7fffktOTg6TJk0CYPz48bi6ujJnzhwAPvzwQ9q1a0fDhg1JT0/nyy+/5Nq1azz77LOAHHlPnz6djz/+mEaNGpWWKnBxcSkN0AShMpfy8ogvLCSo+LYB8BywETgDaABHQIfcv85MqeQrT08C72NHx2OvCnfYFeUVcPj9JZz6Zg1u7VxJPJtI8wl+hH5xiNSLqSB/pqL1tNac/O00m1/YSr9f+qBUKRm6ejB7P9jHsZ9OEPrV4dJrGtmY0ebdp2n77tMoDR7eTtuys0xG82/mW9bVJPDq0mLuBU7Nv30bf/7zmjqZL2VkbU6LGcNpMWP4bfc1mdyH2L1nSDgaAZKEXYAXJz5fhZlN3h0/rFl7WqE2U5NxOY74I+Gg12PV2A0jG/E+dSd1KngaOXIkSUlJzJ49m/j4eAICAti6dWtpwvf169dRlkl6S0tLY8qUKcTHx2NtbU2rVq04ePAgTZo0KT3njTfeICcnh+eee4709HSeeOIJtm7dKmo8CXcVmiEXnSv74dUAucbTk8BJIAW5KKYhsL15c4xFKYv75jfWgJVzx/ynwKkwN5+/g94g4XA4+kI9/Rb0YX6zX7FwNcd7cGOO/3KSNi+3RqlS4tDUnv4L+/HPpH+JPRpH6xdaYt/UDgc/B5xaOnE1+Cpu3Vvg/8oQ6vVs9VAKWYpZpqpTYYA5V86XKtnFV5G6FFSBPBng2tkf187+pcfO/vwP2fHJd3gUpF5KRZut5ehHf3Do/36Xr6VSYuJsg6WnM/YtGtL0uf731UD5cVCn6jzVVqLO0+MnS6ej1+nT5EsSg5FznCqzDsjUaFjfrNkdzhIqFBOG3xjtfw6edk76gshVwdTr5EZ+hpZnDk/kB895NOjlif8kfxZ3XErAZH/6/twbpYH8Aez6/hsc/DyUyE2X5B47gGOgDwGvDqXRqK4Pbek1LAdy88UsU3UIM/Wq8HjAutBHorZU2JJt7Jz4BS9FPo9NQ5vb7s+MzuTXFgvRFepp+0prFEolBz47iKSX8OjmgdrUkBv7o8lJzMFnQi+6LZiBSm0o16lauYvEoxFIkoR9i4b4jOuB2qIOrYMWe+TrPAlCbfJPSgpaScIdOILcz66ijb5ZwDmghaEheklCKXKdqt2N3SeJWLaDwBltSYlIxaR4R1LzCX6EfnWYrp90YcDCfvzz7CYu77hCwDP+WHlakRaVRtwJuWRJxy+n0nhMN8xc7Kp8fGKWqeZUFpCWlEbQ9wqhZDGjruVIATQa0YUDb/zCP89sZvTmEahNy29kWDt8HSq1imePTybmSCx/DV9PwDP+dJvTBVN7+cXqtDrOLD3Llpe2gSTh2tmfff/7icLsPBwDnFAoFYQt2srBNxfQ4fPnaP7iwJp4qdVOBE+C8AAOpKfTALln3VLgX6AP8vJciUxgGaACjmdn8010NDPFrsxqUZiTx4WFWzjz899kXIxG0oP/xOYc//kE4esi0BfpafV8S47NO86q/n8y4u9hPHN0Eke/P8aBOQcpyitCaahEX6Sn+8LXaTKp90MZZ0WzTL45UY/VjrnaqGQXX9l8qYB1oZzUli/UWduDKQNjDX3XfcjG3m+yIOB32r7cCo9u9SnMLeL4T8eJORTLkNWDsHCzYGmX5TR+qhH9f+1bblZVpVbR4tkAJEli03NbCF+6g+YTm9Plg05Y1rMEIDMmi/0f72fPS9+jUCjwe+GpmnrJ1UYET4LwAOK1WkyBBsBA5CTxMOQZKDMgofg2QHvkPWLLExMZ5eCAq9ip+VDlJaWzoefrpJ6/ims7F9KLa+ia2BnjP7E5R384Rthf4TQd2YTRW0axsu9qvq8/jyYjfLFvYkfAM/6cWXqWwpwiev0xC++xPe78hA+oJAlczDLVXmVnpm4t1NmuVwhh1P4AyqVjM4aH/siRj/5gx8xd6Ivkwq8qIzVqcw0+g7y5EnyV9CvpDF7+1G3L0ZJe4uRvpzj87REUKgXNRjflqd/7lTvPwtWcvj/3QZLg4JsL8B7XA7X5o12ORQRPgvAA0oqKSEdOhWkB1EMuTxCOXAzTHGiH3NuuHuAJ7AUWxsUx28OjBkZcBxXvtJO49zxCbWYOazu9SkFyCs+emMyJX06ScT2TzOuZJJxKpEFPTxr1b8im57ZgYmeMZ3dPXrjwHKd+P82ZpWeJWH+RooIiHFr50POPt7Bq6FplL+fWgpYHt8qzTSKXqW64tVBnacJ5HdixZ9vMkz6rZ5ObmEZGVCxKAxWRf4Zw5a+dqNQqksOSMTAywLVd+d93vU7PhnEbOb/6Ak4tHJF0Ek++90Sl+X6d3unIyd9OE7E8GL/nB1THS6sxIngShPuUWlhImk7+9BYJNAZsgd7FXyU2IOdBNUBezvMEdqWnM7s6B1tXRZ8E9PdVoiDhWAR/93qdgrQchq8fiqOfA4W5hZg5m6Gx0HDku6N49vBg8IqB/DlwLct6rMQ10AXPnp7oCnRos7Vos7X4vTCAzj++UqXtKioraCnUXeXaxvQOqRM5USYO1pg4yJFe/OFwsmIyyU3JRWkgL1Hri/TlqpQf/uYIF/4MY9iaIRz54RhWnlYVJp6XsHCzwNHfkaSTkQ/9tdQ00cxGEO5TTnGLeidgPXD1lvt1yLNMp5Bbs5Q0tNcDGTod1/Lzq2OYdZ77XltmzN1+18BJ0uuJWr+fDd1mYqAGc1czGg9oBICVhyUpYSm0fz2QyE2X2DUrBAMjA8buGM2IDcMwsjbi1O+nOfrDMbIT8hi86yu6/DS9ygKnsJxblufmXij9Euo+35woWsy9wMGtXcjNl3/WJV+1XeORXQAFJ389Rb0n3dEX6QlfH1F6v16n58j3x2g+wY9G/RsSeyQW7mG/i16nfyyKAIuZJ0G4T9YGBiiBpsBFYDHghlxJvBC4AGQD7kA8oAbygCvFjz+dnU19UUfsP5MkiQu/b+H4ZyvJuBSLxkJDvU71yU3KRamSg5/mE5qz94P9FGQU0HNud3bMDObM0rM0HdUEYxsjVGoVOfE5KJQKhh38Acc2PlU2vrLJ4I9b25THza3FOOvCbJSxvRVNp/YnZPY/2DS2oV4nd/Z+sB+voAYYWRoRezSOzBuZtHg2gEtboijKKyL9cjpJYcnY+1a86zTtSjqJZxLwe6Xq/h3VVmLmSRDuk5lKRVcrK84A44GRgBFwHogCvIFngVQgAPnD2l5uzkAVVfeAH1GH3vmdXc/OxaWlBRpLDS2mBGDqYELmjUxKytdZ1bckYLI/O1/bhbmrOc+dfgbvQY0JXxfB0R+OkXguCUmCZi8OrNLA6WSaHDiVzDYJjz7fnKjSr7oyG/XEV8/j+VQH1g5dR25qPhlX01nUfikX1oaRl5ILgIWbOZnXM1FpVJg6mBDy7h4k/e3lISVJYs/svagMDWg0qmt1v5RqJ4KnqhRzuqZHIFSTiU5OpAL/IPe0GwdMB14GegF7kBPHvYG/gVDkxHIALzHr9J/F7DvDsU9X0P3zrvT/pS8FGQW4BrrgO9yXtMvpXN19rfTcPvOCaDywEetGbeCvkRswNDHEZ4g3huYa0i+n4zuhF53mVt7L8n6VXaYTyeCPrxZzL3BqSHtODJK/9Hr5d6PsxoGaplIb0ufP2fT/52NM63mAgSGpUWn8NXw9qwf9BUByeAqGpobotDp6fNWd8HURrB2+jsTzSaXXSY5IYf3Yvzm77BxWPvUeiwbDYtmuCvmOUGCpOQXAueU6QAluLe74GKFuamZqyseenrx75QqXgeaAJXI7llPIy3fGyHWejJHbpoUBDY2MaG5aS+fx65Cz8/7GprEN7V9vh65ATt7PT8vHd5gPjgGObJ66had3j8XCzQKVWsXQ1YO59uJ1Dn4eytF5x1Bp1HgO6Ej3JQNw7tC0SnI0xDKdcKuywXNBkAMnZza5rVFxTe/UUyiVePZvj2f/m8uOyWeiiA45zYnPVnBs3gn6zOuFQqlAm61l6J+D2TptO780+xVrL2sUCki9lIaxjREoeOR32ZUQwVMV6v/6BgyKy9Ove24E0Z1TUESfFAHUI0gnSRgplfibmhKRl8cRvR4d8hKdI3IOlBFgD7gAu4BrwI/u7o9FMuV/EhPGzUXOil3bcpj2r7VBoVBgYGRA/S71OLvsHC2fa8HwdUNZ2nkZvzT/jYDJ/jTs0wB9kUTEhgiu7bmOVUM3Bu/+BmM7yyobctnddGKZTqjMrblRJb31altulF1zL+yae2Fkbc6O8Z/h1sEVn8He7P1gPxP3P82r16cRviGCuKNxSBI4+NlzflUYN0Lj8B53sy6arkDL9R3HyUvKQGNlhnvPVqjNjGvwlVUdETxVofwPOqNSy71xPIKS+SZ6Am3clqKIPg4KE3D1reERClUhs6iIVy5d4nRODm7IhTG1yDWecoA45OriLsAN5B15JkolX3h40P4+eic9lsqWKGjcr8JTtNl5FGbny590i7WZ1pq1w9ZxeulZ/Mf78czRiRz66jCnfj/DobmHAVAaKKnftx09l76JxtKsyoYsil0K96Oy2ajaWHDT5+mepEdGs+utZdg0tgVgYdvFtH2lNU1GNsE10JVrIdc49M1RUsJT6b/xY9TmJuh1Oo7PWcnp7/4iLzmz9HoqtQoDUyOsGrnhM74XPk/3rJP98EA0Bq4SJY2BAyZllAZPJYzn7GLXx704v1wnAqhHgCRJTLl4kbDsbIYj124qUYScGL4XaG9hgUahwFCppK25OX1tbDARTaPvLCYMpHzc91rzQeM/KzxF0uvZPPR9rm4KpemoJgxaKreBkCSJf6ds5tTvpwmY7E+r51ti08ialIupHPnuKOdWXqDh0E70XvVulZYhKNtaReQ3CQ+qJIBSKm+2f6lNgVR0yCnO/LiBK/+EotcWoVApkXQ3Z4frBbUm8IOJOAX6IkkSOyd+TsSynbR+qRU2ja0JfmM3CqWCJsN9MXMxI+l8EpH/RmHiYMWALZ9h719xg+bq8KCNgUXwVAXuFDyBHECtSyxexhN5UHXa0awsnrt4kbHIieIV+QtIMDRks58fKrFEd+9iwvAbo2Xl3DEV1nYqyteyZfgHXNtyGDMnU3KScnn58ktYuJoDchuJQ98c4fA3R8iKySp9nKGZEa3eHE2rWaNRVlEAe2t+kyD8V2GmXre1fzExql1BlCRJSDo9Rbn5JB6/iL5Qh1VjNyw8nErPubR2D1uGf8jgFQOxaWjN4if+oNGAhgxY2A8jS6PS61z4M4xtr+6gIKuIwA8m0uy5fjUyC/WgwZPYbVcN8mZ1w+NCMkejxyOhh+jjNT0k4QGtT0rCAWh4h3PaA4mFhRzKzLzDWcL9Cn72S65vO4Kkk2g2rhnoYUXvVaRGyXvAFUoF7WcGMuXkZNyfcEOhkgPXDp8/R5t3xlVZ4CTKEAgPQ0mJg5KvQ9tvljoIy7n9qyYoFAqUBirUFqa4dW1BvV6tywVOAGfmbcC9Uz2ajW7K/jkHsW5ozZAVg0oDp7jjcfzi9yvrRm0AwNROw8G3FvC7ywiOfrKcujKfI3KeqonvNliwbQlEw6Q3l3N+uciDqouiCwpw5s6Fdp2RP5XEarV3OEu4V9kxSRx481cuLt9FwLP+nPrtNK1faMmxH46TeSOTeY1+pmEfL+yb2pMVm0X4OrlKcoOentw4EIfP+F5VMo6wHNGTTqg+JcnlZWejSpTs2KvpnXq30hUWERNyhj4/BZGbnMvFvyPp/UMvVGr5g0vCmUSWdl2OrbctT+8aQ/0u9VEoFGTGZHHk2yOEvvM72qxcOn42pYZfyd2J4KmaLZi2hD/mTGDdcyOI6ZwiJ8iKZbw6I0On424VTAqQ94ppqrA32iOvkibA6ZHRrOvyPwrSs9BYaPAf78ep306TGplGtzld2PbqDjx7epKXmkfE+gjUFhoCp7chJymPU7+d4skfXv5Pu3vKFjYUu+mE6nZrM+ISpU2Jy/x+1oYde/pCuQSwxkJDZkwWkl7CubVz6f3bXt2OZX1Lxu8ei9pMXXpcoVSgttBg08iak1+tJvNqPK3fHIV9i8qSI2qeCJ5qQN6sbngEJXN1j11xOYPj4Naqpocl3IVOkkgrLCQHeVddZe9TZ5BnptqZm1fb2Oq04sDJfa8tqxr3K813kiSJzcPeR2MG9Tp6kR2bjfsT7tg3tePIt0cZ+c9w9EV6dr0dAhK4tnMB4NDcI+iL9HiP64H/tEEPNKSSWaaSXXQlxG46oTYoaUpcIv95Ta3YsWdgrMHU2YYbB6JxaSv/e8xLyQMgKSyZayHXGbxyYLnA6ei8Y2yfvhOVWkWDIE9c2rhwNeQYq1aH0Hh0V3osegOVRl3h89Uk8dG4hvhugz7fyHlQTceq5DyomLCaHpZwB5F5eWTp9SiBLVRciSgNubq4GnBQ175/8LWV31gDtpQJnABuBJ8g5cwV+s3vjYmtMXmpeSgUCjrNfoLITZcIfmMXrV9qxfSYl+n6aRfMXc1Rm6kxMDbAsqEL3X+b+UBjKUkGP7i1CwVBDuXabghCbXFrO5hTQ9rf1g6munOjFAoFTZ7ty9k/zqE2NcSmkQ1n/jgLQOzROAC8BzYuPf/MH2fZOm07rV5oyfTYlxmxbhiDlw/k1WvTeGpxf6LW7SP4ma+q90XcIzHzVMNKlvF20Yvzy3PlZTxF8cKQyIeqVbJ1ciXrHsA25FpO7ZEbAmuBc8htWCQQu+zuVXF5AqmCLLLD7y7Cws2c+l3qo80u5Pj8k8Qei6PpiCZkx2Wz/X87ObP0LE1G+GJkbUReSh6Xt1/BwtORQTu/eqBPq6LYpVBX1ZbZqOYvDeTCws2s6L0a32HeHPziEH7jmkFxPzyFUv63ri/Ss/v/9tBkpC9B3/UsVzxYaaDEf0JzJL3EP5M30fLNUdj5Nai+F3EPRPBUC+TN6oZVUBFXn7PDakE6CgoAOCeSymsVXfEuEAvgaeSq4avL3K8CmiG3ZskVs053V7xc12ysilVzx5abdSrK15J08hLOLR1QKBQ07OuFlacVW6dtY+yO0QS+2havoAYc++kEUVui0OYUos3SYu7hyJhzvz9Qby1R7FKo68rNjs6lNOE8t1dI6eGHXf7AxNGGQTu+ZGPfWRyYE4qJvQmrn1qD71C58XbU1st4D2xM1LbLZN7IpMMbwyrtuuA3rhm7/28v5xdsovMPLz+8QT8AETzVEr7boM+2ZIzn7Co9Vm42SiSV17gDmZmogCPABOBZIAG5n50KcEdeyvsGeMnWtqaGWTeUrSR+S+AEcGPHMXQFhaRGpaHT6or70w3ij+4rWNhmEe1mBNKwrxftZgZi7WXFoblHUBkbM3Dr5w8UOIXlyMt0oied8CgpSTgvmOsAUK6aeek5DyGQsmniwbjwJVxau4fwP7aTcvYqF/+5hEKlYN/HB2jYx4uUCLnhsHNLpwqvkRqVxokFJ5H0ei6u2oXGyoymU/piXs+x6gf8AETwVMvkzepW+v8ls1GiR17tsC0lBS/gIrADefnOsfgL5CTylcgBVGPjR6N/00NRHDi577VlRgWVxCW9nourQwDITczlwtpw/MY0xaWNC5MOjmf3/+1h8wtbkYqXAVCAR792PPndS1g2cKm+1yEIdUxF5Q/ye4c8lJ16BkZqfMb1xGdcTwB02kLOL9jEvhk/sbLfn7i0dUZfqC/9cFRC0ksEv7mL0K8OY2RthEfX+kh6idPfreHYp8tp+/4E2rwzrsZ7hIrgqRbz3QYeiB55tUWWTkcA0ADYCpwHmgNmQDxwFvkflATszsigo5VVzQy0NosJw2+skvSpFbdg0et07Hh6DhdX7gbAs4cHW1/ahnUDK9zaueLQzIGRfw8n40YmZ5aeZe/7+5AUCgb888kDD6kkQVwQHge3lj84SJdqyY1SqQ1pPm0Q1r712D7uU67svAJA+IYImo5oUnre7nf3EDr3MN0/70qbl1tjaGwIgDZby8EvQtk3ezEGJhpazhzx8AZ7D8Ruu1rOd5ucVP5KWLC8K0/KFbvyaoiVgQGpQDvgOeQg6hiwHbgKdAJ6F5+7MTmZb2/c4HxODZUCruW2VNL09/R364hcHULbV1ujUClwDHDErokdizosYUWfVRz54SiHvzvC3+M3EvLOHiS9hOF/rOMkqoULj7Nbd+o9bO7dWzLx2kqCVr2DqYsNIe/uJS9NLmeQnZBN6JeHePK9TnR4o31p4ASgNlPT5cPOtH2lNUc/WIo2O+/hD/YORPBUixUVpJEVs5vM6GAyXvGm2zvbcd1jiyQV50EJ1aqTlRWngXzABRgIvAm8C7wKdEbecWeNnDT+Z2Ii48LDmRgeTqKoNl6mEGbF7Rf0Oh2nv1+H39PN8B3mi6STOPbjMZ6c3ZGnfu9PXmo+O1/bRfCbu9Fpddh426BUK7H0+G85EKeGtBdlCITHWslOPb2+ekodqNSGNB7ZlUHBc8lNLmRR+6WcXX6OUwtPozRQ0vaV1pU+tt1r7SjMySdy1a5Kz6kOYtmuFtLmxBJ79F1So1YiFRVH1wollvsHUO/V3XwX/dXNZTxRXLPaDLC1ZU1SEmuAkci1nEpIwH7gEtASud6TN+ADbMnJ4dmICP7w9cXS4DH9J1dJIcyykk5EknUtkRbP9MKtvSsW7uZIeljVfw0+Q7154v86oLHQcGP/DY7PP4k2qwB9oYR3cU7F/aqp/mCCUBv55kRREORAmKlX6bGAdaEPtQ2MjU89hh38gZCXvmPDuI0AOLdywti68tlkS3cLrBvakhZ+4+EM6h49pu/ktZc2+wbhfz9BoVQAnd8B3yGgUkPUDjJCv0HxRge+DtnODNEjr9o1MTHBXKnkql7Pd8hBkgNyovhJ5J13nYFowBy4DAwqPucXrZZlCQm85OpaI2OvcVI+Xnvt+btxnwoDJ4CC9GwAzN0sUKqUtJsZyPbpO2k2pgmxx+K5sFperjY0McR3mA+J5xNJu5yN78Sg+x5OSZ7Toe1dRFkCQSij7CzsqSEPvw2Mtbc7g3d+RVrEDYKnzEWXnnDH8yVJojC3EKVhzYYvIniqZa6ETKJQpYBnjoGl2807bKaC/zikP3oTtXMY81+4wh9fiB551UmpUNDTxoZ1ycnURy5ZUIDciqUxEIS8024P0AS4Uvw4G+TE8nVJSTzn4oLh41ZAszhHT1thTfabTJxsAEgJT8Ha04q2r7Qh6XwyJ389hXsnN1o844/aTE3alXROLzpDfno+PRa/iZGNxX0NpyRwEvWcBOHObp2NKim8+TBmo6y93fF7fgDbx35Kcngydj52FZ4XcyiGrOgMXDs3r9oB3CeR81SL5KVdIDsmGHp+Vj5wKqE2hf4/U5QTS/rVDXKPvAvJch4UernFi/BQjbK3B+Tluc7AdOAdYABwA7lUQSNAh5z7VKIxkKrTkVxYWI2jrQVKC2Eqbmu/ciurRq4o1SqO/ngMkFs99PulD0PXDEapVBL85m62vLSNw98cwczZDEkn4dDywRqHHtreReQ5CcI9urUNjF4Px1NuflXVEnjDoZ0wdrBk5+u70Bfd/mGrKL+I4LdCsPRypl6vyvOiqoMInmqRjGubwNBUXqqrjGMzcGpJ+pX1gOiRV902pKQgIU/Z7gS+B75C3vm7D2gF9ESuBVV2HrDiFOnHgJRfaSHMW4XOWoheq+PS5ij2fXIASZLkXlnDfBkfMo5XbkzDuY0zGksN9Z90R2NthoWo6yQI1apkNqrk69D2LqU79cJy/lsgpdKo6bHoTaK2XmFZz5Vc3nkFSZLQ6/REbrrE0i7LiTkSR/dFb6BQ1mz4IpbtahF9UQ4KjSWSwV1ae5jaknZ5DbHHfHBu9S4KhbLiHnliGa9KXcvPZ3liIq2B48jJ4PWRd9aZFt/OAZYDVshLdSUuArYGBtgbGvK4yZhqddfASZuVy9n5csJoowENCXlnD2eXncN/gh8m9iYknErgzNJzKA2UDFjYj7/H/0OTKU9hYCTa4AhCTaqo8GZur5AHbgPj0TeQAVvmsG/6PJb3XIlKYwCShE6rw75lQwbvmotz+6ZV+AoejAieahG1mTtSTjxkxoBFJYnFuiKIPwOOzYk7/j46bTruHb4ByvfIE1XJq9665GRMkHOb6gMbgCjk/KZ84K/i20pgMFDyVpIMnAEm2ttj8DjlOxVXEr8X4ct2oCuQlzSffK8TmTcySTqfzJ739qLT6jFzNqPViy2xaWTD1mnbkfQKWr056iEOXhCEe3Vr4c1DxYU3T2rlBHO4v0CqXo9WjDm7kNj9Z0k+FQUKBY5tfXBs413jlcVLiOCpFrH2HMb1A68gHfkJelRSMfnCWshJAO/+EDCexK3/w9Z7Eia28jyHqEr+8ETk5lIfMAT8gHrIM1ARyLNPFsi1n/5FnoHSAeHI1cidNRrGOjjUxLCrX5mGvxlTbSusJH6r8KU7cGhmT05CDqd/P83EfeP5d8pmzq+6gNpcjYm9Cad/P01OYi4KlYJ2H0/GxOEh7Z8WBOE/qYrZKIVCgWun5rh2qtnE8MqI4KkWUWksMbbyJXffHLDxghaToGyUfWU3/DMVrL0gYiP0/hb2f0HShZ+p3+nn0tN8t8GCbUv4I2wCuz4uXsaLCRMB1H+kpHzukiXQrfirhB74BzgAhCDPSKmBjz09sXiMajz5jTVg5dwxd12uA7mXXer5q9g1tqTtq20IeXcv9Z6sx5CVg+j6SWfOrThPdnwOKrWKqC1RZMTk0Hza4Gp4FYIgPKjKZqMedhuY6lLnEsbnzZuHh4cHRkZGBAYGcuTIkUrP/fXXX+nUqRPW1tZYW1vTo0eP286fOHEiCoWi3Ffv3r0rueLDpy1IAfsm8Pcz8KMv7Hwbdr8Pv3WAxd3AuSUMWgg5SZBwGrwHkJ14qMJr5c3qJqqSVyE/MzOuIJcnqEwkcgDlBpSsyquBr27UbEG32izl/FUKs/JIOJ2I33g/mo1pyrpRG/ij23Ku7r6Gna8dBkYGnF5yhpTIVJpM6ov6P7RkeRzp9YWkpm4mMvJ5zp8fSnj4BBIS/qCoKKPSxxQWJpOXF0VhYXI1jlR4VFV3G5iHrU59FF69ejUzZsxg/vz5BAYG8u233xIUFERERAQOFSyJhISEMHr0aDp06ICRkRGff/45vXr14vz587iWKVbYu3dvFi1aVHpbo9Hcdq3qIunyoOkk8OwCR3+C03+ApAMHPxi1DhoPgMxo+eTCXFAaoCtIr/R6ebO64RF0yzKeqEr+QIbY2fFbXBz7ge4V3F+IXOPJBbkCOcB15OW80zk5ROTm4m1iUj2DrSnFeU7pU23v+SGFWXIVfaWhkoOfhTJwyQAa9vPi2I/H+ffZzQAY2xhham9CfkY+uqKihzHyR1ZBwQ0uXnwerfY64AHYAdnk5HxFbOw8vLy+wcKifen5GRl7iY9fRHb2sdJjZmatcXSciJVV5+oevvAIKWkDk/+8BnqHlB6v6sKb1aFOBU9ff/01U6ZMYdKkSQDMnz+fTZs28fvvv/PWW2/ddv7y5cvL3f7tt9/466+/CA4OZvz48aXHNRoNTk5OD3fw90hjVp/cuOPQdTZ4PFnxSbHFb2rmbhC5mcLs6xTmxmNoUvFrKFnGQ1Ql/08c1WpedHHhx9hY8oCOyLWcJOAaEAwkAhPLPEaNXG3cGNiXkfFoB0/FgZP73nvLcyph6ioXw2sywpdj846DJPHE/3Wk2aimaHO0pEamEvrVYc4tP4+hiSEJh/9bYcv8x6jNYH7+VcLDJ6LTATwPlH2PyEKv/5tLl17Gx2cZJiY+xMf/RkzMd8gZfYOQS7ymkZ19nOzsaTg7v4KDwwgUCkNUqkf4d1l4aEqW807MvxmwP+w2MA9DnQmetFotx48fZ9asWaXHlEolPXr0IDQ09J6ukZubS2FhITY2NuWOh4SE4ODggLW1Nd26dePjjz/G1rbyT84FBQUUFNxcvMnMzLzPV1M5O+/JXN//IqREgm0FBQD1ejj8PdTrCPEnIP0qqNQkhy/EueX/3fHaJeUM1j03QuzGe0CTnZwwVir5PiaGY5JU2gQ4G7AFJiAv2QHkIrdsaYIcXOXp723nWV1W0oLlfljUd8TC05GU8BSCvuvJrrdDOP7LSZwCHJH0EvGnEtCYa1AaKrFvZkf69QdfRjqZJv8TMpp/p8XXukOvLyQ9fQepqZspLEzFwMASG5vemJr6Exs7j7S07cVnvkz5sq0gh/UjkaRfiIv7FXv7YcWBU2egC3LtfJADqYbAn8TF/Uhc3PcAqNX1MDZugKGhI4WFiej1BSgUSjSa+piZ+WNgYImBgTXGxj61ZoeUUHvc2gamrs1G1ZngKTk5GZ1Oh6Nj+Q7qjo6OhIeH39M13nzzTVxcXOjRo0fpsd69ezNkyBA8PT2Jiori7bffpk+fPoSGhqJSqSq8zpw5c/jggw8e/MXcgU2jscSf/gLtsn4w9h+w8755pzYXtv4Pru2HNi/AhsnQbCTo9aRf33zX4AluLuNd3VNSzkAs490PhULBGEdHelpb0+/sWYyRd955AJ7c/HMDcvsWCfnPTjDgpH6EaxLFhAH6u7ZgqYy1T32ubTmCc2tnXr76EhdWXyDhVCIowO/pZpxbcZ6Ma5lkxWaTm5BFUX4BBkb3t7x+Mg0Obu2C0fyCR6K6eH7+ZS5efIHCwljk4hnWQCyZme8AKsAMMEH+7azsI70h0Jr09B3odJmAM+UDJ5DbXC9B3kPaAnn26iha7XW02hhulqOoj/yRIZSkpJuz/hqNB05Ok7C1HSyCKKFCJbNReXPl9JswU6/S2aiypdxqUzBVZ4Kn/+qzzz5j1apVhISEYGRkVHp81KibtWL8/Pxo3rw5Xl5ehISE0L17RZktMGvWLGbMmFF6OzMzE3d39yoZp8rQjMZ9t3NxcxDaH3zBqxe4tILcZDi3EgqywcAIjv0MLSZDv59gy6voEyPv+Tl8t0Gfbck8Fz1BLOM9IHu1muddXfkhJobGyLNNJX8WCpEDpxDgCeACchDV0eL+erDVGcXLdc3Gqlh1lxYslbFpUp/o4OMc++k44esi8Hu6GXa+tiSeTWL323tQmxnSdnobQt7ZC0DwM18RtPzuHxZu9agEToWFyUREPENRkQp4ASj7ofJX5EDnGeAb5JmjO6kH6MjKOgT0pXzgpEduOqQAXkJeiP4N+be8A3AQuRxsD2A3cLX4dkvkUrGpFBQc5Nq194iP/w0woLAwBZDQaNyxtx+GrW1/lEqxAUC4qVxuVLHatlOvzgRPdnZ2qFQqEhLKd1xOSEi4a77SV199xWeffcbOnTtp3vzONSMaNGiAnZ0dly5dqjR40mg0DzWpXGPpRdNhZ4g9/gEJZ+bKu+qUhmDpAdae4NhcLmNg00B+QMxRNGYe9/08oir5fzPJ0ZGtKSmE5OdzEPBC/hNzBcgD2iEv5W1EDp6OZWfzVA1uRngoilsBue+1ZcZ95Dndyry+I3qdHqVKidJQyZnFZyjMLcLc1YyOb3fA0MSA3f+3B5VahcpYRdS6fRTlFWBg/Ih9P+9RYuJKioqygGnIy28lEoAYYFjxcQPuvD8UIKnM/98a4EchZ/JNRg6GtiEHZs8BK5DnVQcBZ4GTyOVh/YsfW4j8EeISoKSg4AZygQ9/QENe3g2uX/+Q2NifcXJ6BnPzVpiY+NzLyxceA7eWOjg1v32tmo2qM8GTWq2mVatWBAcHM2jQIAD0ej3BwcFMmzat0sd98cUXfPLJJ2zbto3Wre/eSDA6OpqUlBScnZ2raugPRGlogmvgHNKu/IXW1R9Gri1f86nEtf0Qdxy73u8/0POIquQPTqFQYKdWo8vPJxW5IKYasEeeB4gEDgEBxfelPKJNgQPGGpHyH6/ReHQ39s/4iaajm3BpcxR5KXm4BrqgsdRw9Puj5Cbn4drOhZhDsZg5m5JxLZMr/4TSaESXqngJtVphYQpZWUfQ6/NRq13Iz79BfPxC5Nkd81vOjkR+Wy8JQhoAp5HnQCtbMttdfJ0c5Hr4ZZ1D/o12Rw6GTiJ3cMwCUpBbYiuR51q9uBk46YG13KzBfwG562P74vPTkFtpKygqSiI6+rPi8SkAJcbGjbC3H4G1dS+ysg5RUHADpdIIc/P2GBs3uLdvnPBIqW2zUXUmeAKYMWMGEyZMoHXr1rRt25Zvv/2WnJyc0t1348ePx9XVlTlz5gDw+eefM3v2bFasWIGHhwfx8fEAmJmZYWZmRnZ2Nh988AFDhw7FycmJqKgo3njjDRo2bEhQUFCNvc4SCoUSl1bvc3X303K9p67vg0GZT9rRR+DP4Rjbt8HS/f6SdMsqu4wnqpLfH3OVimvAK8h/to4hf/bPQl7KGwA4IP/5Qnps2wPflbGdJVbe9Ti3/Dx9f+6N0lDJleCrFOUX4T/JH8t6Fux8fReNBzbi4t+RGBgbknUt4e4XrsOKitK5ceNzUlO3AiXlGRTcLNVa0XJcHHIeU8lbe2tgGXAUaFvB+eFAOvJyXXjxee2Rc6ZAzmGyKX7eVOSyr97Is1EK5DynHOTZrrINzaOQa++PALYgB1Udi+9LBRYWj7MP8szURcAVOdBSkZd3ievXP+D69U+KX7sxcvBWhJlZWzw83kejqZpUCaHuuNNsVInqSjSvU8HTyJEjSUpKYvbs2cTHxxMQEMDWrVtLk8ivX7+Oskyn5Z9//hmtVsuwYcPKXee9997j/fffR6VScebMGZYsWUJ6ejouLi706tWLjz76qEZrPZVl23gcRXkJRO9/HU4shKbDQGMJ1w/A9X0Y27eiUZ9/USgrTm6/Hwumiark9+tJS0u2p6WRiPwnxbuCcw4h/7lbmpDAU3Z22D6GzYHvRtLr0WZlI0kSm6ZuwaaRNd4DG6NQKbm0+RKJZ5NoPLARCpUCE3sT8tLyUT3CS3ZFRelcuDCKwsJU5Br21sgzOWrACHnmpqKaC6nIi8ZpxY/xKD6+GTmwaos8k5SFPIt0oPh+7+Jjl4G/gaeQ/zwYI38ckLgZtCm5WW9fV2YcZf9iHUVOLFcXXzewzH0bkTs/PgPsRQ6eRgJl32tykT+ONEcO5uyRg6gwsrNDCA9/Gh+fFWg0LhV8D4THRclsVIn85zXVNhtVp4IngGnTplW6TBcSElLu9tWrV+94LWNjY7Zt21ZFI3t4HP1nYlmvH0kXfibj0g70ugKMLLyw7/EnVh6DUKiq7o9x3qxudJuznd304tyKKrvsI8tAoUCB3CR4PPLeprJikRdFTIBsnY5Pr19nrpdX9Q7yYSnuYVeEii2Nh939/DuI3n2K7OvJePX2JGrrFfQ6PRfWhKFUKXHwd6Dt9LZEbYsi7M9wWj3fkuPzT+DRp6KZlLpHkgpJTw8hLy8SSdJSWJhBSspG5JmdKcgzPz8iLwbHIi9/nUReUrt1p6wS+W39MNC7+P9LCghfKn5cCTXyUtvF4ucqKeFyDjlzrwU3g6eY4uuoi6/TrPjcMOTAS4UcnJX8bscVP76kjEtJXmoiclL50OLnPI68u69s4HQdudxsV+SyCSUMkPe2elJU9BvR0V/i5fUNwuOt3AaQueWbEj/MulF1Lnh6XBlZ++De8Tuqa6JaApDyq+nZ6q4MufogmcBPyH/KGiAvMFwAziD/ybFB/vMTkp5OglaLY10vW1AcOLnvtX3gHXZlZVyOA2Don0P4xvl7smKy0Wl12PnakRyWQsT6i5jYGdP7x17s/+QgRnYWWHrV3VmHnJzzJCevJSvrOAUFMcizN6bIs0Z65MCiC3I18EvIM0pdkIMnX+S37nXIwUvZwMMEuUTBIeQE7zbFX5uRk74LkKuSaZB/U/OQg6dIbs5SdQEyiq+hRQ7I1iGXf22OvDjdpvj8PchJ402LjwciL8eB/C5S8nueg5xXdbl47L7AqeLXWjYAzEVORDfm5jLfrdRAfdLTg4mNnY+lZRdyc8+QnLyRwsIEVCozrK27Y2c3DLW6dhQ/FqpPSVPigHWhnEx7eAFUnett9ziTJIms2D1c3z+NK8HjuHFwBjlJx6v8eU6EdGPR52OR0EN01V//UWKhUiEBo5FTdA8Ci5CzTC4BnZD/5GQjB1B64FAVFlWtSX5jDdhSBYETgIGx/EdWX6RnxPphSJKEhZsFFm7muHd0o+fc7rR5pTV7P9hHXloe+cmZFObk/efnrW56fT6XLk0nPHwUycmbKCi4AjRCnreUkGeXSpbE/IofdQM5sCqZGVIiz/yYA38C25GDKwk5oElH3qawFfgOeebIHPgD+TexKTcDsJIcqQPIQVdD5KCmO/A28C5yiYIiYF7xf/XIv+UBxdf7HXlmKRtYg5wX5YoclDUofp6SGa+i4tsGyMt5ppRf7tuL/NHDh9s/20vF93+NnEWoJi5uPuHhI7h+/WNyc/MpLGxIfr4ZcXGLOXeub5kiocLjxDcnioIgBw5u7cLxFLnGW8lXVREzT7WcrjCH1ItLSTj/IwXpxcVADYzBygPi00g8+w1mrt1o0H0Vhsb2VfKcop3LvetoYYFGoSBKkugP9EL+zK5C3pStQt6TdBUYiLwYkv8YVBq/X65d/EEB55afp8201kzY8zQh7+zh8vYrpeeoNCr0RXq8BzYmfF0ERXlaDE3rTn0gvV5HePg48vKigP7I2/5bIOcX7UYOLJoA8cWPKMnpkpB/k0pqOZXsYGsB7AdOIIftJZTI5QcmIJcQuFp8TIO8wLwZOR8qB8jG2LgJ+flXkaRlyAU2NiEndHdBDrJskX97tyIHLRJygLQB+bc8CzmAUyLPYH2FnEiegPwb3xw5OGtU/Lz5xePTIM98FSIHcFrkwM2Im7NXZW1FXo4MLB6nBvi5+PzR3AwuAXojSf9y+fIbeHs7YGYWUMH1hEddySxUiZLZKKMqmPgXwVMtVpgbz8VNPclPuwDeA6D9C1CYBxfWQswR8BsNvkPI3vQSFzf1xGfgAVSGVZclV7adS0znFFEHqgLmBgYMsrPjr6QkPJA/95cNYfOQFzzMio/rAZdashmhNkk9fw2AvR/up1H/hri1c2XczjGkXkolOTwFpUrJ6cVniPj7Iubu5qgtTNBYmdXwqO9dXt5lIiOfp7AwDjnfJwc52bob8hLdSeQgIwc5IElHzv3xRV74zUQOTtyRA5HGyMtd+5CTwJ2KH2uM/Nu2CvgLebddP+TA5BxwHkNDWywtO2BgYI21dU9MTJqQk3OeqKiZFBau4WZg9Vfxc6qAQgwM7HFxmY2l5ZPIO+IukpERjE6XAygxNLRFoTCgoOAG2dkXKCxUF1+jS/E1f0cO+IyAUOTyCduLx9UCOaDKR56tuowcpJWUV4hGDpz6cDP5/ADyMt8Ubq9PZYRccyqFuLgFNGr0073+qIRHTIVtYMrql/1A1xXBUy0lSRKXtg0ivzAVXjgNjs1u3vnE63BuNfw1Fizrw4Sd5M9vSUr4Qhz8XqnScYh2Lnc33c2NU9nZLMnLoynyYosauZ/dMeT5hKeRK+HYqFS0f1Qrjf8Hkat2Y9PQhpykHH5rs4iOb7an6eimmNiboIhIJfTLQ1zbc51+C/qwa1YIPhOCUBr89x2mD5Mk6cjI2Eds7I/k5UUUH7VCXjZbh1zMwhw5pM4CXJCX33TF94UiJ2P7IOcy7UOu5L0UOTjqjRyA7AWeRN6VVjITNxJ5V9seSnbJqdVuODjMwN5+NEpl+Y/epqZN8fPbRGbmATIy9qLX56NQGGNoaINKZYJG44GlZUcUipt/MtTq9lhatqcyen0hN27MITl5HXIQpkb+F6FHni2zQJ6N2okcFJbMyDYrHnsEN+tVHeVmDhdljjXl9sCphArwJzNzKwX/z95Zhzd5t1/8E2nq7rSF4lQortuAFR+DMWwwNhgTZsyVuf1e3r0T5mNMGG5DhgyHwXCXQimFUqfumkZ+f9wJLVB0dXKuK1eb5EnyfdImz3nu+9znlMZjbX09p3ULGjoutzoAYMit/V9YyFMdRX7yNorS9sHEzZcSJzNCH4CU4xIS3OstCBpB2qkfq5w8gSXO5XqwUSqZ1aoVA0+cINJgIMJ0uxVSS+iGyHqPATYGA1FFRYTY15GMgTqCwguZeAS5M+z3IczpPZ8tb25j82tbL97v09GH4fOGcejHwxRnlxD8+K37mtUEiorOcO7c86bsNxBSY/ZFUiJEwUz+FMhXcREyrbYTaUttRlpjg5AJuz8RAnI/0nr7Dsmic0GI1S6EgBmAZJRKewICPsHBoR0KhRUajQ8KxdVlrgqFCmfnXqbK0r+HUmlFkybv4ev7FFlZa9FqL6BQWGFt3YSioggyM1cgpNAAzEROO5RI9aklUrUaihCkeKRVaV5/DtIgr2xowIh4Vu1FTmEgImIYrq798fZ+BHv7kCrZPwtub1jIUx1F1pm54NEGmoZffaMuT8POaXB6JbQcTOnJJRj0pShV1dMWssS5VA6j0cjnSUnkGww4IjUEbyQoWA/8jhwWOwMXjEaejY5mWUiIxe+pAkqy8ynMy8K/hz8PbR7HoqFL0RXraNTVF4827mgLy1j1yBoMegNGvZG1w99l3JGZWDvfXOuu/fI97N3Yhw5fnKqW/TAYSomL+4isrNXI12tj5D8iG2m/mV3mvRGSVIK0mFoi9LonMmEXgWih1iJzmy2R6swhpGrjb3psKmDAzi4EB4fO6HSZKBQqHBw64uo6CJXqcvOMmodG44WPz6TLbh2Dj89jpKcvJi9vH2Vl6RgMJzAaDUh77glk35cDm5ApwYqVxv0I6bx8aMBo2n438t7fh1T30snO3k929iYaN34bT8/RVb2bFtxmsEzb1VGUFV0Az+DKI1nMcPYXw8z8C2AQB+KS3LPVuq7iqeG43KnDb7u7aRrvyPUf1MBxpKCA5RkZDAVeBMYijYQoRC7bEqk76IEHgUK9nmXp6Vd5ttsTdl6uZJ7OJGlvEk16N+G5mGfo80lvdMU6zm+OJSs6m2YDm2E0GHFp6kxhUjobHvrPTb1GB1ews5FIhyOvBFf5PhiNBqKjpcoiB/EhyKScuXLcCBFUlyAaHx1SHQHRLaUjB/2RSPtuF1JxugMhYAWYR/8dHHxwcWlHo0ZP07btZoKCFhEQ8CpNm04jMPATPDxG1AnidC3Y2DQhIOB1QkKW0b79Dtq3302zZl+hUGiRKcK7gScR3ZcVooMCeW+PIgLx45S3+0AE8ruRat2jyPtsjxiF5AB64uM/4uTJ+8nMXI3BUIZWewGtNgWjUYcFFtwoLJWnOgqVxgnyE669UUkeaAvA2gkiV4LahshlHWnS6yc8Wj9SbWsL2gCBiA4qqXcVzn7WUyxJT8cD+ZpWIiqNy+NNd5guA5BD6ZyUFB7z9UV1LXJ8G8G5RSPUtmr+fGQND28dj5OfI3e80YM73hBNTcLuRBYMXIS1kzVeoV7knM8lbs0+0o+fwzPsxk1Hg+ylhVodSEz8koKCg8i4fzpSHTIiY/tmE0o9sBURPt+JBOeCtOl6Ia26RIQ0nUCiTcrh4NAZf/9XG2TrSam0xtW1LxrNL5w9+wI63Q/Ie2iPvH9JyOmIP1LL7YJouv5BzDSNCHFqibyfIO27pYgIvx9S/YumpOQ4sbFvERv7LvI3AbXaA0/PMXh5jUettugSLbg2LJWnOgqXpvdD4l5Iu0Z74dhcwAj23nD2L5m+M2iJ+3sSmWfm1tBKDWKYeBvjSH4+bbj2hykIqTOkIHNRRUYjc1MbdjbbzSAgvAO6Yh2leaXMCJ7J+uc3ErXqDKeWRrLsgRXM6T0Pt5aulOaW4tdddC7WLtbsfKluTFEVFBwjLW0O8tdVmH7amO7VIsLvE8BApOW0BJmYuwuh1V8guh43xB9pDWa9jlLphKvrIIKCltO69awGSZwqwt4+jLZtN9K06f9wdQ3FyckLd/f+2Nq2Rt63KOQ9tkGqU9sQAf1x5BPW0fRMOUikTSvgGeRTaLY70CHVrI7AeOBBdLpALlz4hcjI8ZSVXR6QbIEFl8JSeaqjcGk6ErW9P7qVj8KEDWDjfOkGqRGw7T3w6QArJkCT3jDoKzi+ALxCSdj7Kq7Nx1Sb/iloA4zos4St4y05eBWlv1eD+YNmQJovauDHpCQWpaaiVCho7+DAaC8v2tvbo7gNq1FN7umGYxMvnHzVNOnVmKOzjnPg24MAuLd2I/zTu4leHY2TvyMGgxG1jRrPYA9S9kRi0OlrdfJOq00nOvpp5L+gFZCB/JUdEJ3SEcSSYBZSVboPqZj8anqMwXSJw9GxK87OfbCza4PBUIRK5YS9feglU263A5RKK9zcBuPmVj4YoNcXEBPzKnl5fyDE5wjwNOWC+RWmLV1MPw8i7+9wpLpkOtmU0xfEvtZsXXsKqRaWodXGcuLEPfj5PWtqfzpW345aUG9hqTzVUShVGloMXIEyIwp+CIN/PoWkgxD3D/z1PPzcFUrzIfkQtBkO49eAjRNYO0CTu9AXp5FzfsV1X+ffoHhqOOHvbBT9k7HottU/tbC15fx1tjlHeePmOOJkowVsdDqalpWxNzubR6OieDY6mrL6YKJpLMF4MSj230OpUtF/9ptcOJTK+a1xDJk5mBcSp/BSyvP0/SycyKWnSdydxOAZgzgy8yghY4MpzixGV1xK4t9Hq2wdN4uCgiOcODEYgyEfOaAbkbZRPKJb6oa0mlKAEchBeoNpmw6UV6qsad36d1q1+gVv74dwdOyMs3MvHBza33bE6WpQqRxo2XIGbdosxNm5J5KTtxdoh7igjzVtmWX6eQppklsjGqkcpB2agujRzG3UpUiFCqSdOgyjsQWJidM5dWosWq3ZtNQCC8phIU91GPaenQm6fz9u3nfD1ndgZhf4rRcc+R28wqDPe/ByHIycCxp7yD4PxVng1xmFS1OKMqqfzBRPDSfwVAYHEifctnEuozw9iYerEigt8hXfCmkY5FFu85eEKF2eQ2ar9uTnE37sGPvqaoRLUiQkHiJ0vILcJ12qJJrFDL/e7Rjy58ekRWSw9P5lfNP4e75q9C1Lhv2BoUzP/QuGsed/eynJKaHZwGZkRslBMmnb0Spbw81Aq03hzJknK9zijrTcQpARgbXIX72b6ffjyMG5NeXJhxdwdOxOWNh6HBw6YsH1YW8fSosW3+HtPQkhokuQT58vYkV7ACGxxYjWCWRCsQ1S+XNEyCvAFqQN+AAwCRHud0RE+8+g1eYTHT3FNAVogQXlsJzS1HHYOLek6d2/497yYaLX9oOBX0LXZ0Fdib/8vm9FPN5mOMbNb197Uq8KcbvHufR2caGTgwOLCwq4F1FWmJtIaYh6JQepS0Qhh0/zB0+HHELNX9k5wE6DgWejo/m+ZUu61SVDTVMYcOh4FYu+GF+lxMmMwMHdGHfsZ+YHT8KoN+LawhXPUE8MpXqWjVmJjasNIxYNZ9tbf+PS1Jmc87kc/nwJYc/dj72P2/VfoIpgMJQQHf20aULLbD/gh9DjaGA0EnD7K2JeORCxGVhz8TlsbYPx9Z2Mq2vfGlu3GZH2za90Wq5i2MwovTTxvorh5/cSNjZNSUn5ldLSORXuSUfaovZIOBJINao98ol0otxP6gAi3K/su8odGE5JySzy8vbg7Hy1oGILbkdYyFM9gaNfOI4Bg8j/+0Pw7QBN+5TfaTDAwRmwZzqEfwyZ0ZAbh71n1xpd4+0a56JWKPiqRQveionhj7w8HJGZniIkdlWBnAerkQSu1oh7jQsSWnEaIU8g80M7Tfd9EhfHn6GhKOuCBirxCGAgYIc7i6ooDPhqcGnhh1FvRKFUkJeQh664DEd/J+6Y2hOllYK/nlyHrkRHq+GtODbrOEb0bHtqOveu/Lja1lQRxcUxnDnzGDqd+YB8GPFtSkCMHJcjwboPIn/NlZc83t6+M/7+L+Lg0K5G1ns5jrwSzA+jJzHi3NpqfZ3lW4bwct8Z1UagFAoFHh734+4+nKKiU+h0WahUTuTl7eHChe8RzdlJhLiqEa8oe8yWBfLJK0Mc2C5HESLwzwTsSEn5DSenHtc0GbXg9oKFPNUTKBQKmvddRPT6eyn8/W7w6wYtBoCuVLLusmOg6xS48w1YNAKUaooyDuPabESNrvN2jXNxUKn4pmVLThcV8Ud6OisyMrBGBqibIGTIXBc5iFSb7kGUMdGUR6M6mi5+wHGtln35+TUb51LZ5KSxBDNx+rDVkmpfgqFM/HZU1irsvewoyS4heV8yyfuSUduoCRkbTLOBTVk9aQ1GvZE297XmzKq9ZJ2KxS04sFrXptNlc+bMo+h0BZiSCpEDtBtigtAacc3ejNQfXU3XiwDw938Db++HqnWN1/Kw6j7gb1Iy+sA58FQEVtsa8olnxLm1jJgZgM/htCvur8qqlEKhuGQC0cGhHQ4OHUhJmUV+/m5kEi8QIUOjEUIbieT3WXNpvIsBsY/YbfrdHVBRULCfiIghNG3631ojvRbULVjIUz2CytqZ1kO3kbD7RdJP/Qjpp2QKL7APjJwHaltYPBKi/4K2D5Jy5P9wbT4aO/ea/bDfznEubezseKdJE/ytrfkmKYl9iOapEXAW8ZBOQipNnZD0slKETHVCzodLka9sW8QGoUbIU1IkGEsIHV9ZlUvBoi8m8Fs1VpsqQmWtwdbTmcZ3eHNufQyOfo60f7w93m090TjbEL0qmlUT1+Ac6Ez2uWy82npyZnU0x39YRZ/vqj6eqCKSk79Hp8tB/jpliK6mPXJgvgMZm2+CVDsykMqFuGDb2YVVK3GKtG/Ol1ueunZFKQOUCnAnsNrWAeBIYxwVkEksKR29rtxgJvgcTqs2p3cnp244OXUjP38fZ88+j8GQhrTpYhEfrr+QipMW+fuYMwE3IZ/KuxCtmgNSN45Hq11DVNRElEonQI9KZYNa7Y6NTVPc3Yfg5HQHCkXdzlu0oOqgMBqNVTcyc5siLy8PZ2dn2k/KFXPLaoauNJtjs73BylpMMt2ag0EPObHg2Aju/RFaDobpgXj430uTXj9V+5quBttpW9n6yQBOztcDytuijQdQZjDQ/9gxrA0G8ikPkWiOtOZaI/qnRcgwuw7xUo4EFpt+nwv42NiwLKQGfH2SImn/IGQ+aVsj1aXrYdcbMzk5808eWDWKg98d4vTyKAw6Ee06N3Gm4+T2HJ11HN9OPti62nBqSSRKa1seTf7jOs8MkYWwddXNR7To9UUcPdoTyWA7jVQs9MBDwE9w0Sr1GFJTNMMGhQJCQpZjbR1wU69Z6frtm9N++Z4rbp/gPJsR59Zio1DiSN0Owc0kFoMRhnssoXRgJeSqClFamkRa2gLS0hYihDcUmbgz66EGILq0dOB70/WeFZ6hDJiH+G65IKc3xZTnCmYCadjYNKdFi++xtvar1v2xoGqxdWtjnJ2dyc3NxekmTlRvqvL0ww8/sHz5ctzc3HjyySfp27dc6JiRkUHXrl2JiYm5xjNYUBUoTNsPxjJ44iikHIWUYyIO9+sKrYeCypSZFjySvKgNtblUiXMZqCN2ssdtpYOyUioZ5eXFrykp3I2c41pT/oGLQZQwzZAZoHVIAMcmhEwpkEZPTEkJJwsLayRI+Oj8EgKetL3+hjWAsCnDOTlzDVvf2MaYlaMY/MNA8hLyUduosPexZ83jf5EXn8ew34aw6N6l+HbxJWFn4k29RqR985tqHUVHP4eQpQAgGdHPnEfG4B9CBOJrkAm7johIORaFQkGrVj9XCXGqqFdSXl4kzAT3amzFVSXcCSRTEcvKjDEs31u92ihraz8CAl7Dz+8V0tPnkpIyB53ObIKpQBzfmyCk155yBSLI6cwK5PRmCNLScwImIOQJpDKVSEnJCs6ceYygoMWo1Zf58lnQ4HDDladvvvmGqVOnMmnSJHJzc1myZAkffPABU6dOBSA1NZVGjRqh1+urdcF1ETVdecqJXc25DcPg1WRw9L36hpumYnV8MWHjap/Q2k7bysr0MST0yr4tyBPAuaIiRkWKhsiB8oSuWOTQ2wQRkB9DfI/N9GgSMkCdgMwE9fXw4N0mTap/wRVE4euqWRR+I0jZe4qV/V5Fry0jeHQQ7m3cyUvI4+SiUxh0BobPHcqJ+Sc5tz6GFoObc2Z1ND53hDJ01SdoHK9NNo9ky5zF0RE9buigfeHCzyQnf4McbPuZfm5BKhY7kZpie6R6cRoxpChFobAlLGzTLcd9mKtME5xnA1xsyVWnXqkmkU88JUYDy5sP4Zmls6qtjVcRRqOO/Pz9aLVpKBQqUlPnUFx8Djm9aQ7cb9ryOCL+VyD+ULlIe/ZZyj+tFZEN/ECjRk/j6/tEte+HBVWDaq88/fTTT/z88888+OCDADz99NMMHz6c4uJiPvroo5tfsQW3DBuX1vJL3A4IfeDqG8Zux8a5dc0s6gZgMMKlIZ4NGwE2NjipVDTV6y+SJj3S3BmHOM0okXNbBdAUOefdgbgAjUTE5DHFlyfHVxP8O0BSJAm9Mhm8Yy37W9UuefLpHszYYz8zt8UEactZKbF1s6XV0JY4Bzqz5fVt5CXlc+/P97Bm8l8Yygwk/32cX7xG0uXdh+n85jgUysqnozq4Svuu/fI91yVQeXm7TcRJjRw0TyCVh92Iku1exIZgWYVH2QJGmjX79IaIU6T9lfl8JU9ZX6wy2WSa9qMetORuBmZt1IhzaxnR0YvhG6q/jadQqHFyKm/Lubr2IzV1LsnJFeUNJcBqxMQ0EwgDvkWa7pURp0KkndeStLTF+Pg8flsmBdxOuGHydP78eXr2LP+H69mzJ1u3bqVfv36UlZXx4osvVsf6LKgENi6tsPftTeGuLyBoRHmbriLi/oHEPdiEVq+A9kZRPDWcFd8NYdL420dArlEqud/DgyWpqTyBHGIvRwxCqlyR89bfkOrUcERZc4ryhLQagV9QnXKKt3ET4mHQGbD3siM/KZ+IBSdRaVQEjwmi3aQwtr31N2prNfoSPUqNEn1JGXvf/o3ME+cZuODtqx7EguzhiPb6a0hM/BLQIFNzNohe5iTwMKJM+wuxKAhEqhMxQDGNG7+Li0uf6z6/uRV3+SrvP7e22qfi6go8FYFkIm284RuW3HBFsCqgVNri6zsZrTaVjIx1yCnOMaRV54205coQctT0skfHAbsQc1SBTqckPX0hnp5jLdYGDRg3TJ48PDxISEggMDDw4m2hoaFs3bqV8PBwkpOTq2N9FlwFfl0+5syavrBkDNz7Q3n7zmiE6HWw/GGw9yY94hscfXvXuGVBZajoAyU2Bg1f//SIjw9bs7P5XatlAKJvUiPntccQjZM7op5QIUETYUgDoRipPKmKitibl0f3GrQscP4ph/efHHPxem2JyK1dHHBs4oWjj5rk/cnY+9jTengrXAJdyDqTxaJ7l6CxtyIwvAkJuxIpSiuiUWdfinNKiF60DZQKBs1/+5Zfv7AwiuLiKKTa4IUcJNshjuHtkciVJET3dBqprBpp3XreVUfazVWmkqesL7EOsLn8QNvAqkzXgzuB5CviRQe1pebaeGZ4eT1ARsYSpIoYhzTWHRD1oflvU1bhEccRPZQXcmrkg1SgjpCQ8F8KC08QGPh/FgLVQHHDmqcHH3wQb29vpk+ffsV9J0+e5O677yYzM9OieaoBzZMZaRHfkbD7BVAooVk/sHWDC4cgIwoCe8OYP2DlJDSppwl9IKrOfIgjB0JssMkHChq8D1R6WRlvx8RwoKAAO8BeoSDXaKQMqWc8Q3mIhBlGRER+kPJG59TGjRnj6Vkzi76k+mSoVlfx6+Hgfxey//1ZjFhyP2fXnuXMn2cozdfi5OdI2CNhNO0fyLy7F9D2oRAOzzzKHVN7sGvaHjyC3cmIzMSvdzuGrfsvapsrXfmPZMPh4VevckRHP0te3g7kQKpHtEx2SKXpoOm6GRpAi4fHGJo0ebfS56vMoLImrAPqG9KNsUD12hlUhri4j8nIWIqc0rgg7uO/I1XGNYA/0lDPRCbz2iJBz5d/t54AlhMQ8AZeXuNrZO0W3BpuVfN0w0fTN998k7CwsErvCwkJYevWrbz7buVfGBZUD0pyz4CdB/T/n9yQlyjmmZP+hke2gb0H3PUm2tyz5CdtrdW1VkTQBhg8XfLwQsarJA+vMnPGBgJPKytmtm7N0uBgJvj6MtDTk2f8/PiyeXPKgNnIV63OtH0SElW6HxiETOQ5Av+Nj+d4QUHNLNq/Q/lFYUfEfD1jX5nP+2fGXP+xVYywZ4ahstHw15PraDW0JS8mP8/Uotd5JuopfDp4s2zUChz9HVHbWWHtbI1zoAsAIQ8Eo9KouLDzBPOCJ5G0K4KbcWbRatNNxAmELCUCdyNzkbuREYDeyGSdD6BFrXajceOplT7fkVeCSenoxYhza/FUBF68WIjTlfBUBKJUQEpHL6w3pFWqCasONG78Ft7eExFylIA4tHkjIx3tkHZtAhLrYoNUnCo7jLYFQklNnWfJxWuguOG23dKlS3n//fever+TkxO7du2qkkVZcGMozj4lBpk9X5JLZQjoCWobSrJP4eTfr0bXdz2Y23hbGcDJ+UUN3sagha0tLWzLrQCOFRRgQKTFy5CvYCVCopyRmZ92iI1fEnIuvDAtjTAHh5pduEmbFjH/CMzP5P0dY2q0jadxsueub55j62OfsXjYUhz9HHFp6kxuXB55CXn49/Sn3+fhLBqyhHYT25KwMwHXZi7YuIhazKAzkH8+heV3vYBra3+6vPMwrcdf/7MQG/sWIuVXIu2YAGAjYoCZBhyh3MHLFlDQrNl0FIpLv1bNE3MpGX0sVaabwOVtvOq0MzBDoVDh7/8KLi79iIp6CIneGQXMMv3ujOjcVEiDvRK96UV0QKudQ0HBYRwcOlkE5A0MN1x5mj17Nl27diUiIuKK+3766SdCQ0NRqy2G5TUJpUINZdeZxDLoQF9GSW50zSzqJlE8NRyXO3X4bXfHiEGqULcJVKYv0yFI624Qkog2HngBIU4gzSIlorDZlJ2NvrZ8bf07AEoSemXy5SsD6MrsGnvpoIf70/z+O1GoFDgHOuHYyJE2I1ozYftDdHqmI8tGr8DO3ZbQ8SGcWhxJx6c6Ev9PAu6t3FDbqvEM8UCpVlKWl83Gh6ax89UZF5+7/fI9V1Q2tNo08vP3I1one6QOOACpQqxELE6bwUUiVIK7+/04OnYEpMpkvSEN6w1pfLnlKVZmjMFGobQQp5uEI43xVAQy4txaYmcGXDN6pirh4NAOD48HELIcgxiINEZy8bSIarGyFk8GsAExTV0MwJkzkzhxYhApKb+h1xdV/+ItqBHcMHmKiIggNDSUzp07M23aNAwGA/Hx8fTr14/XX3+dzz//nHXr1lXnWi24DA6+d0HMZijOvvpGp1eCUU/6qRnkJ2+vsbXdDCq28YzQ4Nt4ZjS3scFOqSQSkZx2RVyDzBYGINqnSKTm4YwQqXfPnyejrKySZ6wBXNbG68rsi5fqhEKpZMCCd2gzYQBJe5I5vTyK08ujWHTvEv58aBWeIR6Ef3o3y8asxDnQmcDwxpxeEUW7R8LQl+rx69YIQ5mBguRCOj/biSNfLGXzo5/R3sWInY0QqIoH5gsXfkSqTu6IrskeMcFsDjyApA9mIQdLAAUBAa8Rad8c6w1ppHT0YlXmGFZljmFUjLTpbifxd1Xj8jZeTaBx4zfx8BiJqA9/Rz59TZGqkwLx9DKjFFgCfIcQ7TQkR2A0MJqyMk+Skr7l9OmH0emu8X1tQb3BDZMnJycn5syZw+LFi/n666/p2LEjbdu2RaFQcPz4cSZPnlyd67SgEni0eVwqS1vfkym7y1GSB39/BI3vBP9uxO9+8aY0HzWNmVNm83zkFtFBGYsaPIGyVakY5u7OQeQwXBkikMH4LqZtlMC67GyGnTjByvR0oouLKajpIQ2/IBOBMhLqM4dxryxg3CsLeP/MmGolUSorNf1+e50RO6Zj5WhHXkIeGgcrAvsGkpeYzx8jl2Prbkvf/4Xzx8gVuLVwRW2txmg04ttZplFt3W2xslXj1NiJyFnrWRH+Ci1VWuwu84PIzt6CtOK0lFsUtEAcphcjk1YXkL+IAheXcM44tbuiymS+WPDv4U7gla7q1QiFQk2TJu8RErIKL6+RODq64OTUiEaNnsXbexKifypESNUixPPLC/lfeRKZxAwxXe4HnqCkJJmYmDdrbicsqDbcdLZdamoqDz30EFu2bMHe3p41a9bQu3fv6lpfvUBtTdsBpJ38gYSdz0LIGLhrKvi2B70OzqyBbe9Bbjw8+g/kJcG8wfh1+wyf9q/W6BpvFpdO4zXsPLxsnY6JkZFkabX0R75mrRBJ8gHgH0R6Ogyx6GuMeD85I75QRkCjUDDQ1ZXHfH1pYlOjrlCXElxjUY1N5Rl0evZ9MIeD/5kHgIOvA54hnhRnFpFyOBWvMC/u/eUelo1ajldbL1yauXBy0Sk8gtxx9HPEtbkr+6bvR1eiQ2WjwW1QD9KbvoTNvnBa5OzhxIkBiFg4GREFb0IMJMIoN5tIQ+JZ1PBbJmk9xQOoPmTL1VdkEssfzWpG/3QtlJVlcvLkMPR6V6Sh/ifyKV2FaKRCr/LIE8AygoNXYGvbokbWasG1cavTdjdFnhYuXMiUKVNo3749P/zwA7/++itff/01zzzzDNOmTcOmpr+46whqkzwBRCwJprQwHrSFYOMC+lLRQvl3h2EzwbutZFF8pAGjgWb9FuPafHSNr/NmEDkQpg+dSBf/OQ3eziCjrIyXz57lRFERauQQXYQcorsCfZCv5JPAZIRQZSEEywnxjjoM6JRKZrRqVSM5eJUiKRKMJZgjXmpCVH56/mY2PTwNGxcbHHzscWvlRpv7W1OcWczeL/ahUCkZvWIk88IX0HlKJ6JWniGgpz8ewR5se/tvdCU6FAoFRrG/R+1oi0HdG0P2esR6wA0oAAYjrlsRlM9F2gLFNHp2DEef24JBb6Togi97jxWh0xkJaWlDq0AblEpITCkj4YKWY1FFlGqNBPhouL+/C/Z2qmp/jxoSaiPO5WooKDhKdPQzGAxFCNEORDyiXkFae2aUIM33fOTUaAc+Pg/j5/dcDa/YgspQ7eRp5MiRbNiwgWnTpvHcc+V/9N27dzNp0iQAfv/9d3r06HGTS6//qG3yFLWmHwVOztB+ImScBqWV+Dw16li+kUEPH9uAdxjKzHOEPZSEyqqWDrI3AdtpW9n6yQBOztc3eFfyN2Ji2JidjS3yNdwSUdscQb52RyDnsxsRO8Z2SBOpI5K2tgAoVqtZ27YtmqvEktQIKmTkmVGdWXnRS/5m08Rp6Et0F29TqpW0GdmadpPC2PTyFkpzS7n358EsvGcJD6wazclFp0g5moquqAxrZ2uyY3LQFmjxCvMi/US6tLeNIO9yKtI8bYLYmWYiFScdKgU4OiooKTFSWnZp91yBPIVKIT8NRlArwUoFZXrQGeQ+O1tQq5TY2Spp5K2hTVMbRg925Z7ezqhUlgmtypBujGV589qvQGm1qUREDMFovBMRkycjLTuQdt4WpIasQ8h2KaBHo/EnKGgharVLzS/agktQ7T5PKSkpHDly5BLiBBLTcvToUQYNGnTbt+9qCw6eXeD8VjHKvPN1sS2oSJwAzq4XfVSf9zFo88iKnl87i71JFE8NJ/ydjTKNZyyqU9EhVQ2zAWYjxMd6FRI52wypOJkbARmIfNkXOSgfQuohw4AMnY4tOTk1uewrYRKVJ/TKvnipTo+olmP6MPbIz6htZGzctYUrLe5pTk5MDgsHLcag1TPmz1Fs/2AnLk1d8GzrSeQfp2n/aDu0hWX4dPBGm6/FubET7q3c8O3sg52HnenZjyHECRTEoWAvEI1SoUOjAlsNFBcZURqhqRs81xts1ODpAK524GgNTrbg4wT/uw8CXIU4tfGWZ3e3B2cNZOcbUGp1uOmK2Lcni2FPn6Nx7+MsXZdF5LliMrN1V+z37QwbhfKKOJvagEbjjVJpjXwS7ZB4Hj1ibbsC2IuMgbwEvG663ItWm0VU1CPo9fm1s3AL/jVumDz9888/tGzZstL7bG1t+frrr9m8eXOVLcyCG4dH0GQoyYU9X1a+ga4Utn8MjTpBm2Hg34385G01u8h/geKp4QSekmk8MDRYIXl7Bwd8rKxwAN4GpgJvIf7FPqZtcpDmURjS2gOxatyNzIU1BjZn14FpHr+gS4w2I+YbSeiVyftnxly8VKW43K1NY8ad+BUbNwfyEvNJP5mOrbstg78fSOcpnVj+wEoyozLpP70fi+9dgr2XHa4tXClKL6JxL9EntRrakqgVZ+jxWg+K0otQ20jrRYHUDMxQAENDhRAFukHbRtDYDRZOgp93w8Ague5sC0PbgkoJ256HX/bI7+8PhogL8N5g8HEWMrXmKdjynDzmnGmALzVTx5gXzxN8zyk8uh/Dq9tRuo+OZPrvqWTnWshUXYGdXVvkdCcE+VSeNl2PQNzIw5EGewFShToH+FJSEkdS0ne1smYL/j1umDwpb6AN0KtXr3+1mBvB999/T2BgIDY2NnTr1o39+/dfc/ulS5fSpk0bbGxsaNu2LX/99dcl9xuNRt577z18fX2xtbWlX79+REfXTU+kq8HaqSk+Hd6Cre/Chtcg/4LcYTRC4j6YOxBSjsI938rtahty49dSmhdTa2u+WQRtkJ9txzdcLzGVQsFEHx+OIdUkDZd+QAuROS97hDwdQywMuiHi8QuIE/mxggKWpqezKTubqKI64itTA9UolxZ+jDv+C63G9iU3oYBz62NY9+wGNr28BaVGiU8HH/4YsQxtvpbRK0ex6/924RniIS06Bfh08sWgM+DczBEFYCiRKUYjcujrh+jPlMDZdIjPhk/uhYPx8J9hsOAgOFjDC33gUDx8NhxWHpdq1JFEOJMGiybBjF0woSt4O8LJC7BpCjR1h57TYe956NlM9qd3C+joL78HusMdjfVkXSji1f8m4tn9GPc9fZbo2JIqe/8suDV4eY1F3OdzkDrxX0hYsB9CqIym69ORRnuJ6TZIT19IcvKMOj0FbUHlqBthZzeIxYsX8/LLL/P+++9z+PBh2rVrx8CBA0lLq9z3Y/fu3YwbN47HHnuMI0eOMHz4cIYPH36J0ef//vc/vvnmG2bMmMG+ffuwt7dn4MCBlJTUry+lRl0+xrX5GKk+fdkYvg+Fr5rBz90hJw4e3ggBPaC0AJIPYVCpObO2P/rS3Npe+k3BgLFB2xg84OnJWE9P1gIzkKL/USSG9mtEAzUekZ+eRwTlrqbHFiLzX5k6Hf+Jj+eNmBjGRkYy7tQpduXWgb/zVapRX74y4OLl31ajHPw86TfrdR67sJSOb4wFQG2npiS7BF2JjoHfDKDPJ71Z89haMiIzufeXIRz49hAtBjVHm18KwLxeCzAi1aYmSLqZC7AZqSmMAk6mQLAPnEkXwjQ0VMjTpO6wOkLac252UKSFUe1hzn64szmk5UNSDrx4N8zYCfe1hdBG8ODv4OMIr/eDf87Bjw9IlepsBix7HF7oDWtPQmIO9GsNIT6wfnsuwYNP0qLfCZZtyEansxyAawPOzr1wdg4H/kBOZ2wRMmX2DduHTGt2BV4GJgITEGH5HVy48D2pqb/X9LIt+JeoV+Tpyy+/5IknnmDSpEkEBwczY8YM7Ozs+O233yrd/uuvv2bQoEG89tprBAUF8fHHH9OxY0e++05KpUajka+++op33nmH++67j7CwMObMmUNycjIrV66swT3791AoFAT2mY1S4wyNukDTvhA8CsavgRfOQqCpKnjgRygrhAdXoS1IICOq8veuLmLmlNmEv7Ox3AeqAeqfFAoFrwcE8E3z5iitrFiP+FmfBDogQ/N7TLd1RHRQOabH5iG2fe1N1+0Rx5n84mKeP3uWdVlXc5OqJZgNNxdYy6UK8/Ns3Jy4479PMOTPjzHqoTClkKR9SayfsoE/J6xG46hh7Nox7P/6AOkR6dzxVk8OfHcQpQq0hWU4A57Ie7sTCWF5yHT9IGKVmZEPpTqw0wjRSS+Alp6QUwx+zqA3cRlrNVzIFcITnw0KBbTzk6pT/zaw8xwcS4IvR0hr795QaO4Bm05LKzCzEF5aDs/2ggWPwP44IW/928DEbuBg0DLq+Rja3nuSuKRSSxWjhqFQKGnW7DM8PO5H/ltyTPeoEIH4VsSpbSCiizLDFqlndic5+Qd0uooh0xbUddQb8qTVajl06BD9+pVnUimVSvr168eePXsqfcyePXsu2R5g4MCBF7c/f/48KSkpl2zj7OxMt27drvqcAKWlpeTl5V1yqQtQqm3w7zoNEveAygp6vQ2thoBSBWUlsOdr2DIVuj0HTe6E4JEkH/4YbWFybS/9hnFlnEvDJFB3ubiwtm1bejk5oUCUFPuQtl08Mjg/FNHfHELaStsRbdQwwANpGtggX9FtgfdjY8msLWfyq8EvqPzi3+kSbVRVoNmwnjxwZCY2Hk5gBM8QD8ImheHa3JWF9yzm9Ioo7l94H4d+OkzWmWyMJr/RXGRuqiVib5iFTDkOQhQr/kBaITRxlWrS2XQRiMdnSzsuJhOae4JSAVvPiJYpOVeIltEI2UVCuLR6WBMBjZxFP3U0ER7vCTN3i5YqvCW8vRoe6SZE6cHfoVsgxH0k1avEHCFeAGfjSgkMj0ATfJgeYyL5dk4ahUU1bKB6m0Kp1NCkyXuEhW3G3/9FVCpXpDYcAZQh9cur4Q6MRi1ZWWtqZK0WVA3qDXnKyMhAr9fj7e19ye3e3t6kpKRU+piUlJRrbm/+eTPPCTBt2jScnZ0vXgICAm56f6oLnsFP4tX2Zdj9JXzhBwuGweJR8KU/rH8ROj8NA7+QjZvchaE0h9Mre1CSe7bepH8HbeCigPxiHl4DbOMpFAreCwzERqHADxgDPA48j+icFIiNwXHEysAaGId8qMOQRK5eiO9xN6TS+kVCAp/GxzM1JoaP4uLYlpODri5VKirJz/u38S9urRvzSNxCWo69m4zTmUQuiSR2WxxtRrSm9wd3se3tv4mYdxIVUq3zQ963rogh6RaEQKUjJNYBCWoG6NxE2nNfbpX23Ky9MKajEKp952FICEzfJj/XnYKwRmJXMO8A9GgKy49Ka8/dHvJKTW+BC0SliubpzxNS0XpzAHyyXoToK56AP45A/+8gJU9ahCol3BMCw8OEqO09VsTz/5eAW5ejPP1+HHFJpbf8/llw47Cy8sDbeyJ+fs8iovHzyKmMcyVbG4E4RAelIS1tATk5WzEaLcMA9QH1hjzVJUydOpXc3NyLl4SEhNpe0iXwCHoMMIrruL4MSvOh/SPwXBQM+VYqUSC3W9lSpijj5OLWHP5ZQ/S6e8mNX1+by78hBG24PeJc3K2s+KpFCzIVCjYgROgsooOahfga2yCRtU9Q/hVth5zvhpiupyJVlPXZ2SxKT2dHdjZ/Z2Tw8rlzDDtxglOFhTW3U9dDhfw8c/TLv23nWdnZMGjhO9y38TOCe3uRl5DHibkRbJ36N1lnZDrRCakoWQM7EFI6Cmm+/I2YkR5CbDMzTbe/8Ae80V/0SxqVkJnvdsDgYHh2CYztBHFZQoJsNfDGnzCyPXyyAe4Pg+1noVArlStbcVogKlW8oIrKIDJFqlKudiI+n9JLBOovLoNX+4K9BnR62P2ykKx1p0R/tfZp+ONxGN4WFqzMoP19pzh+uo4MD9wGcHcfio1NSyRA+vLqXxwS5/J/yKf4HBBAaWkJ5869QETEvRQXn6nZBVtw06g3o0seHh6oVCpSU1MvuT01NRUfH59KH+Pj43PN7c0/U1NT8fX1vWSb9u3bX3Ut1tbWWFtb38pu1AhsnFuhtvdHp1TDw1cJazYaIWIhNOsLre+DVU9Ar7fIO7OWvHWD8Qp7Gf/un6NQ1AU3laujeGo44dM2snzyGIlzSTzS4OJcujo5sSA4mHmpqazNzKTUVClqjAxCh8IVnjcXEDKgMd2nR9p3CtPjipFKSjgQVVbGhNOnsVcqsVOpuNPZmTFeXrS0taXWYDJDPbHARIiNJTA/ky/HD7il+JeLxMsfnFpn89VOmJYP2UYhQe6IOuU04A08jLTpliOqlJVINcocjZOLtNV2xUB0GvRvDd//I2Rm1l5o6QGONvDwHKkwnUiC/BLYEgV+LmClhI/Wid/TvP1ioPnXSak2/fAP9GoBc/bBlN5QUgbnM0BvgLuay+NCfEUb9fkWWPeMkLeIC7DjRSFbr62EZUfFBgGAEgOdRkTy/AQv3n3GFxenevPVXy+hVNrSqtVMoqIeobQ0FvEK80ZChvfDxSyBBxAFnbmOkYxWu5qoqMcIClqEtbVfLazeghtBvak8aTQaOnXqxJYtWy7eZjAY2LJly1VdzXv06HHJ9gCbNm26uH3Tpk3x8fG5ZJu8vDz27dtXr53SFUo1XsFPwbG5kLC38o0O/wopx6Drs9B2nKhYS3PhqUMw+BvSjn9JRuTPNbvwW0RFH6iLbbwGhqY2NrzbpAk72renh6MjHsjMTluuJE6FSNWkA6KPMiLkIBH5+o5Hvq7DkIrKEMTiwNpgILCsjI0ZGYw5dYo512hd1xgu6qHKq1FjX5l/w228rszm/TNjSOiVSUKvbNZ1zyTgawOv50GRUQxJ7ZEpRSek0qRDyNJwhFBlIZU8szIwFyE/0WnScovNgs2mQkGhFqysFMQVKInPElK0LxZyTcO7trZKcsuUpORDdrFUmcoMst3UVaJn2hUDBaVyf0w6ZBXBUVOfMKtIqliP9YD5B6CFJ7T3kzbg+4PFe6rHFzKx9/ZA6GOy5rO1Aldb+Or3NHzvOM7UL5LQ6+tQu7YBwsrKneDgZahULsis5k6EOAUjpzMTkHpwxcNwI+Ah9Ho9KSm/1vCKLbgZ1KvTj5dffpmJEyfSuXNnunbtyldffUVhYeHFeJgJEybg5+fHtGnTAHjhhRfo3bs3X3zxBUOGDGHRokUcPHiQmTNnAqIpefHFF/nkk09o2bIlTZs25d1336VRo0YMHz68tnazSuAd9jK5Cesp/D0c7noTOjwKjo0gIxL2fQcHZ0Dnp6D5ACFOSivY9y24NoceL0D8LlKOf4ZH0OMoFHWfYwdtgJkbZkMiTHpjPifnH2qQcS4apZJn/PyYdPo0yxADzYo10DykIWAFdAZWI8RJjxCEhxC9znZEO3UGIVo9gPVAd9PtfwPTk5Lw1GgY7OZWA3t2A/ALgqRIIuaXEDp/DoN3rL3uQ5x/ymHZ73oWFqvYUmqkyCBk0h7QUi4K74cMk/+N6MZ+Q/ICwxBdmZlgWSHvpd4IBrUD2DqBjStGXQlkn0PRsiuqaXtQKJVM7z2OnofX4+ygwMtZWuUqlQJHGpOZrSMuWUuZzkBuvp60TB2f/pzC/zaX4O0Iv+wWLdW8g/Lzl90iRJ9/QCpQjV1h2xmpXK09KbdN6g7jZ4v+adVkuP8X0Opg7gQY3QGsrWTq74d/jEz7JYXkVC2/fxpY56vL9RlKpYamTf+Ps2enUG4uEos0gb2v8ih7oBOZmavx938VlcruKttZUJuoV+TpgQceID09nffee4+UlBTat2/P+vXrLwq+4+PjLzHz7NmzJwsWLOCdd97hrbfeomXLlqxcuZLQ0PLE69dff53CwkImT55MTk4Od955J+vXr6/3IcdKtS0t71lP5PLOlP79EWx7v/xOB2/o/ync8ZoQp9QTEibc5n4Rlft3ha7PoD3Zm8LUvTj49Ky1/bhZzJwym7nTJjboNl6ovT2fNmvG1PPn+cJoJASpmqQjbSdbpIKyDSFHfYBlSLuuGXJu+w/SggpDPKMmIKRiNdLyu8f0fJ/Fx3OuqAhva2v6u7rioq7lrwwzGU48QkKvazupR5cZeC8PzuhAiR5H5JCVhTRRmiI1gL+RatJYhDSdRojnXkRLdghpc16U8QbcBQn/AGpwaQJFGZB9DqydMUYfpPVfxais7Jm7YSF/TNvKw46zMfOT4WfXgiIed9fGuLte+l6OH+bG1r35zFiYzs6D+eQXGlAqjOQWw+EE8HIQ8qRRieGmky2cuiCTew7WYmmw/hTMfliMOHOL4eDrYrCZWyztxJMXxME80A3mrcoiOb2MN57wIby7I0qlhURVB5yde+Hj8zgpKT8j5OkAYl1wLTTDaPwbrTYZW9sW1b9IC24aNxwMbMHVUdvBwNdCQcpuov68A3q+Ch6twdEXmvUHtaZ8oxWT4NwGeOE8/BgGvh1h0HT43Bcrxya0GboDjWPj2tuJW0DkQIgN9hACBeDfqbaXVOVI1WpZnJ7O0rQ0igwGVMhcjz1yjmtE2nG5iHXfOMpdZmYg4mhXRBz9OPA90BOJernH9FxzKK+2qBQKRnl48FJAAFZ1sFqRVFrKpuxsjhUUcCg/n3yDAQUyHeeNvA/pSMuyM9KaawL0B2Yi1bdcRM47AiFSdyDvx8UvSZ8OkHkaen8AZQVwZi2U5oHGEYozITcR307v06jzexfXFTmwfI3Th07k/nNrUSpAY2rXOHL1z5bRaKS42MBPSzKY/lsKyWk6FArRTX0+HEb/Bh8Ngff/gk+GwAfrIPFjaP4hvBwOH9wDn26SSb3iMhGil+rgzmbQyEWcz6PToEuoLatmtMTH0+rf/AlqDPnEs7DZYF6q5WDgG0Vq6lwSE79CQpc+Rmh596tsXYhQ+NUEB6+wkKdqRrUHA1tQP2Hv3QPHgEFw6GdwDoCW95QTJ10pbPsQjv4Ovd4FK2voMAkil0NuHABlxlKi1vZDr60bXlY3iqANMHi66KBCxqsapJ2Bt0bD835+7Gjfntlt2jDE3R2tWs15pPrkgpCGccAkyomTEdHyqBAy4YBUn9TAXYiOag/leXpmEtbZaGRxejr3nTjBi9HRvBETw5K0NAr0teMlFF9Swt68PJalp3N/RAT3RkTwbVIS+3JzKTQYUCK2A67IhKITYveQgEwrDkUqc1qgHdKma4ZYHGpNr3HJzJPaHlKOQI+XYfsHsPsL8AiSkxEbJ8iNB5UV6ZE/XbLOoA3ll5lTZjPCawnLmg1hYbPBLGw2mHRjLPnEV7qPCoUCOzsVLz3iTfyOdmyZ3YqgFjbEZ8HKE9DMXWwL7KxgW7Rom6LTRTM1sj188JdoqUZ1EI+prk0g6l14ro9MBkabwhmORhbTduhJzlriXqoF0norQz55Acgn7nIkIU33z5EaMJw9+zypqfMs9gV1EJbKUxWgLleeAPTaPM78NYii1D3gHQZNw6GsCE6vgMJ0uPsj6P2OtPCOzYPlDwuJOrsBJm6BH9ri3fZl/Lt/Wtu7ckuwnbaVrZ8M4OT8yw7yDbAatTM3l+fOnuUx5Cu6MiQCvyDVlVWIB9QxoAUiko5DBqhHA0sRXdV2pKLV03SbivKqlo1CwbuBgfR3daVYr8dGpbrpypTRaCRfr0ehUOCgVF6hwykzGLig1ZKr1/NXZibbc3K4UMHwU4mQP/MhJhRxCN+OVJe6IwajIab9XIZU25YimqcgYC5Shdpkek+OICSquQpiUGBUWINzE8iOgdb3gn93ODILMk7Li1rZgUoDpfkEj47A1rXNdfc7cmB5NcpGobxmFaoifl6cztMfxOPhAIWlIjgvKZOfcybAhDmweQoM+F4CiE+nijP5kTfg+T9g9j6Z7BvfBZxsYMdZme5TWinZPr817YPqts4mn3hKjAaWNx/CM0tn0eGLU7W9pGtCq03lxIkBiM2qHRLlMg5obdoiCliCUP2uSHO9GFEknsTZuRfNm3+JQlE/KoP1CbdaebKQpypAXSdPAGUlmRyf7Qk+7UTfpLSCwN7Q5WnwrCCq3vw27P1ayFW//4jYfOk4OPUH7i0fpsldP6FQ1b8PsPkgZYaIyvUNTlRuMBoZFhGBUqvlYcSqoCK0CEnIQyoxqUiVyoiQCSfTfV8iRCMaSeBKAOYBjyLC8gLEmLMNQlpOIATGYLoeYm9PO3t7Sg0GUCiwVioJsLbGUankYEEBmWVlqBQKWtnZUWowsDYzkxQTGXJVqfC1tqaJtTWeVlbElJRwuKCAIoOYuCoQ8mYwrbspIoo/irQag7mUNM1HTC5LTGt/DvgdaGXaDx3SnpuNVJ5yTfumBfo1gaIDGzjbdyNpJ78B16agVINTAJzfDEEjwL8bFKRB1lmI+weKs3BuMpQWA1fc8N/NdtpWlqeNQakAdwJv6DHHThfxzZw0FqzOpEQr74tSCWM7wuLDEN4K9sbCibegxYfwv+FCsN5aDfMnihfVD//ATzvFGR3AQSMEKnZbKK7Odf9znm6MrTcE6ty5V8jJ2Y0YYWxDPl29gECkQd4SUSteris8AyzG1/dJGjV6uuYWfJvAQp5qEfWBPAGcXX8fuSWx8NThcqPMiigrllDhogwIfQBGzpftDs6E1U+BQoV760cI7F0/LAyuhUurUcoGJSo/XlDAk2fO4GI0cgfl57ZnEKF4hum6ESEgjRFyYQ4YNlee1EAnJArGgAQTt0HafDuRttcfSGXqFGL1p0RISwZCQjA9jznly0ywNKbnMUu+/RDNkQFpaESatilFSIHR9DMAIUinkCnDjkiL0QU5p1+AZPu1QQ5H9yNVNS1yyPoCaU0mIaSpDKkDuCGZdaWm1zUA7/RU4PP3Q/z83BwMuhKOzHICgw6a9YP4HRD+fxCxCJIPVnj3FWDjAqUFtJ+UjcrK/mp/pitgaxKXj4wpnyLUcP1qlNFopKjYQKnWwCNvxrF6Wy6hjcQbamCQuJN3/Qz2vwZDZ8D97cTGoO+3QprGdRKfqjPpMrl3IA5aB2o4vDIEO9u6rezIJ55FzQfz1JK6T550uhxOn55AaWkK8l+ah/wnG5FPyauI5W1lWItKdY6wsM0olXWf1NYnWDRPFlwXPu1eg7QIWP006C/roWuLYMkYKM6WNt7IBeUES1soWXmDvyLz9C+U5ETV/OKrGA05Iy/MwYHf2rTBz8GBZcB/TJc/kHF7A6KF6g48hVSTXCs8/hDyxeAN9DXdpkSqUiUIETIirbEWyOxQL9PztkRIVDDl80RNEVISipAfFSJWz0LaZZ2QVuIahLj1RqpgmJ6vren39gghO4M0PBSm3yciZC3OtE9HETLWzLS2INPzWyEkK9+0H+ZwDH9E71Rmes7G1tasdIe3u5e3D5VqG6wdm8qjEnaLsezmN0FtDYO/hl7viGdayCiwcQYMpJ2Yfo2/0pUonhrOS6tnM9xzycVLidFAJrHXfJxCocDeToWbixV//ticd5/xJSJZBOIKhcTBgAQQp+bDU3fC/T9LFerEW9C3tTief/CXECeAc/Faeo49Tam2fkQ21Qeo1S60aTMXL6+RKJXSjis3zgjhSuJk/g9dAcSh12cTF/cBWm0d8F+zwEKebic4+N5Jk96/wpHf4KumsPU9OPgzbHgNpjeBmC0w7k/o867U/804uRgC+0DHx8DOg4zIX2ptH6oSDTkjL8jOjl9at2ZZcDCfBAbySWAgfwQHs6ltW+yUSmwRC4PLvfnNWXlNEFJibvvpkSqRHSK+NjvUtEO8klxN2wYgc0R7kKqQJ3JOPRiJSL3L9JolSIPilOl6GFIJigR+RIw8+yONjbuRStI54DGEBP2NmHuaK0hhSOWoLVJlijM9JonyLzkDMseE6X5zHuABTDJea2tmtWrFUpdSGqkhe7ILL60uN+P0bveq/FJWKHrApuGgUMO6F+DADxCzGc6sgdwE0Dhw4diX1/gLVY6gDUKizBezuDyTq4vKK0KhUPDRC42IWBNMiybWbDoNTd3BwwE2mv61L+RJxMuv42HJYXhotphtrngCPh4CHfwlDubkmWJC7z1JVk4dC5Oux1CrnQkIeIPg4BXIJ6OH6eflFQ8tsBCpAScgGqhgsrLWc+LEINLSFtXksi2oBBbydJvBo/UjBI08hHujQSj3fAOrJ8Per6QV8cxxaD3k0gecWASJ+6DrM2BlA/49KM45XStrrw409Iy8Zra2DHF3Z4i7O81tbXHXaJjeogXJCgXfIcqLKIQ0mbPyOiC+TxX1UlGIPsgLCRzubLrdHOCiRciJEhFbOyAVrE7I0HV7pN12GKlSmQlXG8Rz+U6k8jMA0R9tQEiSFUKweiFNjmQkUuY8crhxMt0fjJAh80iA1rQWI0K6PBDSV4h4PCmQKlwpoFar+allS1aGhtIuL5HQ8SoOJE5g8PQMgjaUvwfurSaBymRJWporhrPZMXDXVOj7H6nYTjkNAz8HfSnGslwK0/+d2725GrWs2RBKjIYbIlAAIS1t+evnluSVwMxd8HgP+Dta7vttD7T0FKH426vFmfy1fvDYfPhwnfhCje8CA4KkAtUsPIKjkZZcvKpETs5G0293Ip+WdNN1c7XpO+STNgaYgoxyjAZeBjqRkPB/ZGX9VZNLtuAyWMjTbQg793YE9v6ZDpNyaD8pHzvPznLGHLkCCk2KmOzzUpFaNh7CHoLWw+T2sqIG2XMvnhpO+DsbpY1nLGpQbbzL0cXRkQXBwfT38GCfQsFChDQlIlWeYVwa+ZIKrEWqTRuRNpc5cDgZOW++gFSAzG251sj5shvl1ghtESLT0vT8yQipMjt3OyHtt36mbXYhDY1CymNUUpE2nBohUI7ITJJZwWeavMcZIUvuCHkLRVLFrJGqlp1SSR9nZ2a0bMnGsDA6X6Z1mJt/ZXaeUqXGtekoueLgK58VfSn8Mw3WPAVLH4DvgiDzDIxaBEYDqcdvrnVXGYI2wEurxeLgRtp4ZjRvbM2rj3rz5iqZwmvmIS28wwnQ3BO+3yFE6YFOcM+PEOYH8R/D8ifgP0Ph53FwfCo0dTUwYNIZklK1139RC24IRUWnkeayPVK/jUIa2auR05g8RLEXzKWHaRukjhtEYuLXGI2WtmptoV45jFtQ9VBpHGh1z0bOb32Y3M1vwqbXQW0DuhLRbvR6G/q8L+KJ/AsQtx2H7p/X9rKrBcVTwwkcmMH0xIl08Z+DIvFQg7QzAAi0seGdJk14IyCAXL0eg9HI6zEx/F1YyAWE/CiQttkphJwUIgaT5nkgLdIqC0EE5I2QwwGUV31yTNetTZfLHaEcTD9LTfcpTa/bDZnuUyOtQrO4XWG6zcr0mGxEUxVjev4IhDCpkcORBqmO7UYqW/4aDU81asQ97u5XvimJRwAD2ZMruc+Exnd+T/bZ+VCYCkYDhI0H77aQdhKKs8T64+hsSD0Oft0oTNtz1ee6GQRtgOIN4YyYtoTlaWPIVMTekJj809f8sLFW8L9fUsAoJpkxGfLzUDxMvgO+3CpVqNVPQWQKvLz80lDhrk0gv0DPd/PSmPaKf5XsT1XBkcYMP7uW4R298Hklrc6LxsthHoMAaTr/A/wKFCGnIPnIacLVHtuTsrJfyc/fi5NT/UmAaEiwVJ4sQKVxpMWgldi6twdHf+jzIYxeDK8kQfhHIhw3GGDTmyiUGtxb3VyifX2CuY3XkM01K8JKqcTDygovjYaZrVoxtXFj9DY2/Ik4cJvNM4OBycjEmi3yFb/Y9PMCUjEyN3wNSIXJG2nTtUKIjbkSdQ45bPhS3kLLRciZmQqYtVg602vHIRUmf9NrFZteuwgRrR9CSNMZpGo1x/T4UtNzdHZyYmarVqxq2/aqxMmIAb/t7gSeyqB4anil75fa2hkrh0AhTne8ATGbRPMUvxMKUiD1mEytJuwDjSNlhcmVPs+twhyCfaNtPKVSwccv+pG4I4z/vOLPuGHueLqpOJ0qIcaONrDgIDx5B6w6LqHCh+Jhck8hTQrEH6qkDL74NZWZi9MxGOrWgLanIhCAlI5eWG9Iu/bGdQT29qGIIi8PqSaNQv6b78I0tsC1D8/+gJLS0oRqXqkFV4Ol8mTBRTTt8zunV92F4fhcqTapNGA0TRftmAbRf9Hk7jmorV1qe6nVjooZeUm9M6Uq0YDsDCqDRqlktKcnoz090RoMGIDo4mKei47mpF6PDiE/uUg1yuyzpAAeobzqdAppQPgh5GiA6Xok0pLbgZAjH6RJ0QKpDLkhVSSQwwjIIcQZMfN0N92/BjncHEPO0dcgAvRkpNK0F/BUq5ni40MHBwcCbWywVVVizXEZ/E3EqaLOqTJY2XpSplbAge/BvTW0Ggp6LVjZSgxSXiJseAXid2A0Vn2MTdAGeInZYDLX1Cpir+sN5elmxSuPisy/rMxAs74nyMzSsTsGirQSOjxxLozvLNN3j86HEF+YMVbaeWn58NteeOr9eHYdKmDWfwPrVBaepyLwhtuZdQHu7kNJTJyO0fg3YvqRjnySuiCnGaXXeYYywGAxzaxFWMiTBRdh696WNvftJO6fpylcMlrMAJVq0JWgcW6B/4BluDa9v7aXWWMwt/Fit5sy8hpwG+9yaEzTlm3t7VkVGsrqzEz+yswkuqwMA2DQ6XBGNFJhyNd+GUJo1iHk5gRCnGwRY04HpDKUBIxHiJO5TpCBVLXM59pHkVZhT6R9Fw88iDQ3zBJsK+QwowZ8NRoaW1sTaGvLEDc3Quxv3F9JcOPakeKc0+DYSIxmU45K1p1HG2nb7f0a3FtKxXbTG1g5NbvJddwYgjbAzA2zmWsy18y8AQJlhpWVkr/ntaHziFOsjZD9XnIYvJ3g9f7Qfho81EWm8ZQKCRJWKuDLEfBARxg/O4suYfZMecirWvbtdoBK5UhAwOvEx3+ENKzNE3eOiMnGduQUoqLTuxFR+iUgpwpgb9++5hZtwSWwmGRWAeqLSebNoCjzOIUpuzAayrBxDcbWvT15CevQlWZhZeuFc+N7UWkca3uZNYbJ301ssK7kt4L9eXm8GRNDtl5PI6Qtl0z5+bI9UnkqQoTo5ugUa8RPObbCth7AvabbQQ4NZoMAHULEAkzPUwxYKxQEaDS0srdnkJsbPZ2cUN1qUHFSJBiLCBmvYtan45k5ZfZ1H3LoJ1NUslINd7wGumJIOiAGmnYekHUO8pPAxhVrpQOhYyJubW03gMiB0HPAVhYljblh8mRGVEwx3UZFUqY1ojMIcSoohXkHIP4j0T19uVXCg83oFiii8zSdhtMbQutU9SmTWIa5L6F0YP0hdRkZK0hM/AK9Phf5dLyO/JdPR05LzOMbccjpRgZyOqIAilCp3AgIeBl39/tqZf0NAbdqkmmpPFlQKezcw7BzD8NQVkTC3lc5u34oRn3JRTG5wsoBz9aP4tf9M5Sqy0NAGh7MbbytDODk/KLboo13LXR1cmJ9WBhbcnLYnZtLqdFITysrujg6cq64mJ25ueTpdFgBHa2s0Or1pJSVUaTXk6ZU4q1WE19aihei8nBCKlLHEZ2Uu5UVHRwcSNVqySkrA6WSYY6OjPDwoJVdFeWumQTiftvdCfdaQvGUynVOl0Nl44a+JE2iWXb+F6wdJXBboYK4HRIQbO0ECjUGXfWP+JdoZZouXxF/w9l4AK2b2bJ3aTA9x0ZSlGegmTu8/5e07t5dA19shSEhYqq5N1by706nQH4pGIxajkYW0THkZit81YsJzrN52X4GQYXnanspNwQPj/txc7uHlJTfuXDhO2REow1yOvEnYhDSAplzbYQ0yJtgNtvQ6/8hNvYdDIZSPD3H1Mo+3K6wVJ6qAA2x8gRg0JcS/dcgCtL3y9Rdx8fAwVtMAA/+BDs/BYUV3m1fxLvtC1jZeV//Ses5IgdCbLCpjdfAYl1qGnvz8piZnMyRwsKLt7moVIzy9OQxX19slNU4z5J4CCM3rnOqiBMLW6DV5UqMUbfnQeMAx+aI1gkFeAVDRhQYdFg5BhL24Pnq2gvg1sOFzcjN0+HZ/Riv94Nvt8PwMJizH74ZJVN5U5aCgzWMaAfOtrA7RkTkjX2tOLAsCC/3uqO7STfGAuBzuD5N3gkiIx+iqCgJIUgOiEpwMzJT6gtM4sp6hxFYi0JxnLCwrajVzjW44oYBS7ZdLaKhkqfU49NJ3Pc6PLIVmtx15QZRq2HBMFBZo1Co8Qh6At8OU7GyrT9l81vF5O9MdgZgaeP9S8SVlHBBq8VGqSTYzu6i3qpacAttustxbEEzdKXp0Lw/JO2HkhxoOx4a3wGleXBioQxZALbunQgedfDaT1gFiBwIHfvcfLiwGU++F8ef6zJwspYpvOYe8EIfGPUrTOkFn9wLW85I4HCmievuj4PWzW3YsyQYtbpute/+aDaEl/vWnwoUQGlpAqdPP4xOp0PMOpoiXv3HEdvayvRzBiATmIG//0t4ezfcSejqgiXbzoIqhdFoJO3UjxA8unLiBNB6KDTrC95hGF0bk37yO47P8eHwL/bE7XiS4swTNbvoGkRDdiWvaTSxsaG7kxPtHRyqlzglHrlInMLf2XhLxAkQY0xtASTuF8sC1+Zw9Hcxyjy9Enq+AiPmAAp0pRnXebKqgTnW5WbjXMx4YYIXWUVSaUrOhUndpYU3OBieuQs6fwYjf4HzmeBuDzlFkF8CRyJL+HlJ+vVfoAahQUndoXI3DmvrANq0WYCr6x3AFuBnZOxCQ/kcqhm5iA//Z8D3gJ4LF34hK2utxTizhmAhTxZUirKiZLS50dD2gWtvGPIAJB+QIGGDDloOwqgvIiNmMaeWdSAz6hYPUPUAl4QLN3BX8nqPCj5OLnfqrurjdCNQ23iK9q8gBfJTwKUJDPgc7v5YPJ4Wj4TIldD5ScpK0jDorzd2XnW41TiX4Ba2zP+8GVGm8ce8Ejh5ASZ2g37fgUYFh9+Afa/CF/fDvImw9Xlo5g6vfZpIWqYl/64qYG3diCZN3ketdkdGKXoic6cV6eAF4CdkJrU9EuFyH3q9K+fPv8n581MxGi+3o7WgqmEhTxZUCqPB9GVodR1xrsZ0v3tLaNILFEro+Lj8bDeB2O2Pkn/hn+pdbC2i0nBhC+oOkiJN+iZDpXl1twIHnztAVwYqK3BtJnYFx+cJoXpoHYxbCWdWgzYfdMXkJ26uij25YdxqnMvowa78s6A1SiUciJPb9saKD9Tm5+BoInT8FALehaBPoP930NIL9Doj386tH+aU9QFZWWvQ6dKBsYjTWTFmawLx9Z8PuADPAQMRG9kOSJT3aLKz15GS0jDC2+syLOTJgkphZeuDUuMEsduvveH5v8HJX0iWe0uJp7jrTSjNgcDe4BVK6rGGGedixhXhwg3clbzeoIK+6fnILbfeprsCClAYxaqgaR9oNxGc/GD9C/B9sBCq3u/DqWUAlBWnVtHr3jgqtvEMRm64jdejgwNjBrmy1RQiPHsfPNIN3lolxpkBLvDHY7DjRZg+QjygtHr44rdU1mzLoVRbN1pG959by5dbnuLIK8G1vZSbRkbGn4gvvxsyaeeEWMvqkVZdARISXNmJbQjQhdTUeRgMlizC6oSFPFlQKZRqG9xbToCDM6Eos/KNchPgxHzo/KRk3+XEgq0buDUHl6aSOt/laXLj16AryarR9dcGbqdw4TqPxCMYjUVV0qariIKU3WSc+gG8QsUo8+RSODpLgoIfWi8+T3MHQvBIaWMDKmvXKnntW0HFOBctN9bGe/Uxb9ILQKWA7CKpPM3eD/MnwqqnYGQH6NEUMgoho0BsEopLjQx96hwBvY7z8fcX0Otrbw7JkcZ4KgIZcW4tKR296h2BKitLBcxDNyrEavY08Cli5NEcuNb/VGf0+hzy8/dV6zpvd1jIkwVXhXe7V1EZjDC7P6RdNvabfAhm9wN7L+jytBgDnt8KoQ9IpIuuRM7MvULAaEBXfHuU9c0HK//t7pY2Xm2hQpvuZm0IrvvU+96U2KKMKPDrBl2ehWb94dRSIU1hD0FxtgjH7dxBqcHJv3/VLeAWYG7jrWs15PobA51C7Vn4ZTPMEXarImBcJ3iwi/g8/bwTun0G/9kAD3eFU+9AyXSIeBvGhun54LtkJrx+vtYz8MyZd/UNSqUDUl0ywxx17YWQpqsHVwuEWOl0OdWwOgvMsJhkWnBVWDs2odW9mzm7fhhl34eAf3dpSWRFi6OyRxuYuEX0TX88CA4+Qp4S90J+MjS+E/KSAKQFeJsgaAMM3pDB5ESzK/khi51BTaBCmy78nY0UTwm/ai79raA4K4LC1N3g0w7aDIfjc+G4qb+lsga3FrDxNbEwOPwrFOfg4N0DlZVDFa7i1lF8ExriUYNc2bukFXeOO0NKHvRvA32/ga1n5H4FsGIy3BdW/pgQX/hmNPRqAaN/zeae3s6MH3a9A70Fl8PVNZyUlLnAIMR1fDPSwpsALEB8n66FHACL51M1w1J5suCasHNvR+jYaALvnoM68zxELBZCdMfrMmF0ZBZ82wayzsKDq8VlefNbQrKaD4DDv2Ln3R2NfaPa3pUax8wpswl/Z2O5nYGljVd9qNCmC39nY5W16Soi7eSPcqJg4wJ/fwhuLWHYzzDpb8my02ul2poeCTlxoNfS+K4fqnwdt4KgDTAnb+JNCci7tnNk0kgPAF5cJhYG8yZAB3+4J+RS4lQRozpIuPD3826PanNVw9NzDAqFHom8TgfOIVN3GkTTdBYzQaoch1CpnHF07FbdS72tYSFPFlwXSpUG91YPEzY+gYA7vsHKqIJd/4MF98KeryBkNEw+KGaBs/uKQeDw38SFPGYz3qEvXHyu282T9RI7A0sbr3pgatOZ3cKrgzgB5CasE1uC2L9F4xf9F6x6Qi4qDTx1RIYk8i+AwYBT43uwda07epuKAvIbtTB4epwHKiX4OcOeV2BwiGTdje0Ia07Aw7Phnh/k59oI0Jv04uM7w55jRRQUWkbmbxYajQ+Bgf8BTiKVJhDhOEjenR3wBzKFB0KktgILgV+AfXh4DEeptK6xNd+OsLTtLLhhKFRWeIU8g2fw02SemUvSwXfRFcTD0dlw5HcoKzRNGr0LO/8H0X/hGfoCalsfzm0cRW7CXxh1xSg0Tqg1LljZB+AcMADPNk9gZe9b27tXbajYxuviPwdFoqWNVyW4zC38iSmzq7RNdznKCpPAqAPnxtB1Cjj7Q8xWaVNveEXI1H2/wlfNQakisM+salzNzaFihItSwQ1HuBiMQog+GQoudpCcI7e/vQbis6GdHzR1F0I17wAE+8CqJyXGBUBbdnudLFUV3NwGYWXlSULCfykuzkZiWEDaeOOAecC3SDsvCbBCbA00gJK0tAVoNI3w8nqwFlZ/e8ASz1IFaKjxLNeD0WggL2Ej2ecWk5+yA21ezMX7bD064t32JYqyI0k7+h9wagxB94FnKFw4BMfminDCaASDjoCeX+MV8kzt7UwNwXbaVrZ+MoCT8/Vgyca7dZhCfS/qm6qp2mSGriSTY3O8xVH/3h/hr+eELKltJBi4MENaegHdwcYdTWokbceeqdY1VYQ5nuVqeNhx9i1l3305K5W3v0gk/3NQqyAhG5p/AIFu8MMDEtHy004hUgB2VmBtBaPbwx8nVaTtaYdKVXt+3+nGWJY3H8IzS2fVu6w7AK02lRMnBgCDgS4V7skGliCGmeFInIu50lQIbAf206TJB3h4jKzBFdc/3Go8i6XyZMEtQ6FQ4tx4EM6NBwGgLUxCV5SKytoVK4fGxG6bSHbMYtk4Lx72fQueQXDHa3D3R7BgiOinWg8jYeezqKyccG/1UC3uUfWjeGo4LgN1xE42hQsnHrEQqJtFhVBfl1MZBE2t/pfMiJol5KjrFPi5OxjKROfU81WwshXbjn3fwq7P5X9cqan+RZlgO20rsWljUF4rJSUdNLcQGqwtM2KrEeIEMOMfsFbD/Edg/O+QkAMPdoYgb9gTC8cS4Fwm/LoHpjzsXqvECbhoWTCioxfDNyyhdGD9yt3UaLxxdu5Dbu4eRO9k9nZSAanA3UCvyx5lj5CtUhITp+PmNhRlDf4/3i6waJ4sqDJo7P2w8+yIxjGQuO2Pk312gUzfTdoOL56HCRvBIwhWPgp7p8PYFVCULp45waNJOvA2RkPD10hU6kpuMdW8OhKPyHtkuhihytzCbxSZZ+aIh9nCYfI/W5IDW9+D38MhYQ84B8CA/4mAPP0UKlX1600iBwpxqhgGfK3LzRIngFaB1mQXQkSytO9+2SOmmc8shlIdbH8BknLgtZWwNQqs1OCgAb0RVmzMrhOaJ09FIMr6GHZngr//K6hUemA2cAYJAz6KEKiricIVwF3o9bnk5NSsw/3tAgt5sqDKkRU9j6wzv0s46sh5ENgLXANlhHvsMhj4Jez8FNJPQev7JNriztcpK4jnzJq+FFzYWdu7UO24wpXcEi5cOSpk0u1PnMD+xAlV7BZ+fRSmH6Ik29TyCRkN98+GN7Nh7HIw6uH3u+H8Nrm/46Pg2hyFsnqK+pEDyy/Th05kedoYbBRK3Amslte7t48zPu5q/rdZDDHT8sHbEQ7Giy3BpHlwLAkWPAKp0yDyXUiZBjPGQkZWGf0nnakzruP1FTY2jWndeg62tm6IgPxzxHHcF7C5xiM9UChcKC4+WxPLvO1gadtZUOVIjfgWmg+EdldpwfV4UQjTvm/Bp70EC/t1BrUNBbkniVp1F54hUwi44xsUinp8yngDKJ4aTvi0jSyfPMbSxqsIkxjcXGW6c/VsgqbX/DKKs6OIWt1HSJI2X0jSyaXiJN77XZi0AxYMhWXj4aU4ybtrOxbtwd+qdB1mTdNXTuWkccS5tbfUirsZaDRKPnnJj8fficPJdJz+OxpaeAqBisuCQ2+IBupoIpToRED+5J0Q6gt3fVXE3D+zeHy0R7Wt8XaArW0zWrWaRXz8B+TkbMVo1AG66zzKiNGoQ6GwHOarA5Z31YIqRVlRKsXpB6D3wqtvpFBA+4mw/iWwdRffHF2pxFn0+QAUStLXPoM2P5YmvX/Bys67ppZfKyieGk7gwAymV5zG8+9U28uqeVSsvFWj2eWNoiT3LKf/7IHRwRsG/C5TdkfnQFqE+DitewEK02DQl/BDmLiKh4wGlXWVptpXnJSzSS9vFjhWU7Xpcjw22oPcAj2v/S8RKxVEpooh5i+7Re80Zx/8vBvSK5hiDwyC9wbD4GD4cX6ahTz9S+j1RZw58xjFxeeQVp0KEYXnICHBlSEeKMDBwXIyVh2wtO0sqFIYdIXyi73ntTe08wCjAU79AUEjIHK5kKdm4dD1aej+ArmJ6zk+z5/Y7ZMx6Eqqf/G1CHMb70DihNsvXDgpUvbXWETog6WEPFharWaXN4qE3S9hsHWGR7bCiYUws6v8n1o7icYJBfzzX0jYC95t4dwmeWDMZmxdQ6pkDbbTtjJ96ERGxpRPypkvNYmXJ3kTu7UtfXs6kZwLZ9MhJQ92xcBXf8O4zrDvVTj9Lsx6CFLzoc/XUoU6HFlMmcWy4F8hOflbU/ttAtAX6IHYEmxBNFCXQwdsRaNpbDHLrCZYKk8WVCnUtl4yaXThiIx1Xw0XjsiYt9EAwaNg8UhoGi6TSgDdnoO9X0Pb8WRGzkVbmEDLQaurTUtSVzBzymzmTpvI8sljSOqdKWJphalf0pB8oa5SZTLj8N/htdKmAygrTif1+BfkJayTyKGfOkNprng4tXtYWnMA2bGwdgqseVr+b/VaiN8FcTvw7Lf4X63B3KZbbpqiqy5N080gwFfDyh+a03VUJMej5GQmLgv+fgG6NCnfrrU3jO8C42ZJdcqCfwe9voiMjBWIVYE5qcEauBdYBpQiE3f+CJE6D2xHobhAYODPKBSWGkl1oN68q1lZWYwfPx4nJydcXFx47LHHKCgouOb2zz33HK1bt8bW1pbGjRvz/PPPk5ube8l2CoXiisuiRYuqe3caLFRWDrg2Gw0HfpRWXGUoyYPDv8jBpvNTsHgEFGfB0Bnl27g1lzN8n3bw4GryE9aTdfYarcAGBHO4sN92d0LGKwgxVWMaTDUq8RBGY9HF/apYZTJfamqK7nLkxv/FiYVNST3xFQTdD8EjwTtU/ld3/B/kxJZv7BoI41aAb0cJCtZpYf5Q7H3uwDXw/lteQ02JwW8F1holuxa2wdVJgUoBr/a9lDiZYaWCn8bK715uKqysGrZ2sTpRWHgMg6EQaHfZPW2BMYhlwS/ANNNlLtbWalq1+hVHx9uw/V9DqDfkafz48Zw8eZJNmzaxZs0aduzYweTJk6+6fXJyMsnJyXz++edERETw+++/s379eh577LErtp01axYXLly4eBk+fHg17knDh0/711DkJcGSB4QoVURhBswfAqX5UnXa+xW4NIXHd4N7y/LttIVQVgQae2jeD5r1I+3UjzW6H7WJoA0weHoGLnfqcLlTV78z8hKPVLgcImS8iucjt1zct+qMVLkZFKYf5Oz64RjdW0olKXIZ7P9WiH2f9yW3bk5/KM4pf5DKCu56Q3yfIhbi6NGFFoPWoDBXp24S5jbdrRha1hQc7FVMeyUAvRH8XGDsb9DvWxjzK/xxBMpMci93BxjWFhzs6s1hpk7CYDBLFmwvuycLIU5NgJaAEwqFNa1a/U5IyEqL1qmaUS96IJGRkaxfv54DBw7QuXNnAL799lvuuecePv/8cxo1ujJ0NjQ0lGXLll283rx5c/7v//6Phx56CJ1Oh1pdvusuLi74+PhU/47cJrBzb0fz/ss4t3kMxi/8IHSsiG2zzsLJJSiMChHU9v2PnNl7tLrySY4vkAmnVkPketAIitY+y7lNYynNi0ah0uDkezcewU9i7VjJqW8DgbkCU7yhnpprVjC0NCPca4lUl2pvVZUi+eCHoLaClKPg1xX6fybu4dF/wfaPwTsMsmPgyG/Q8+XyBzaV9nSjLv+Hb8e3bvn1L3o2pYO7IvDf7Uw1o7BIj0oJkxdCxwDJvjuSCEuPgL8LbHgWgn3Bxwns8izk6d9AozEf35KA1kAZsBbxerIBPJGcuwzAGqVS0+CnlOsC6sV/9Z49e3BxcblInAD69euHUqlk3759N/w8Zvv1isQJ4Nlnn8XDw4OuXbvy22+/XTe8trS0lLy8vEsuFlwK5yZDCH0gCt/Ql7GO2Ylq73dYJxymUcf3CBlzCpWNB8RsMQlvL0PWOdj2HrQeJkGsYNKZGMnJPUZxk84UeTcnJfJ7IhY2I+3ENzW6b7UFczWqTpprXmZkab6EjFdxIHECgacyLl7qQpXpcuQlbyMv4S8oM4WtJu2Hbe9C4j6JY5m8H3LjRQN1+JdLH2waZrBxaXPLrx85EGw0XDS7rMvIyNLx2S8pNHGFFU+IKPyvUyIiB0jMgU6fwp/HxQPK37duuFuvzBiD9YY0Iu2b1/ZSbgq2tq2wtQ0C9iKapuVABHAP8DLwKDAZeASj0ZWoqEfJzf3ntgthr2nUi8pTSkoKXl6X2uqr1Wrc3NxISUm5oefIyMjg448/vqLV99FHHxEeHo6dnR0bN27kmWeeoaCggOeff/6qzzVt2jQ+/PDDm9+R2wwaB38adfmQRl2ufK+a919K9Lp7MP7UGbq/KFN2ZcXiobP/O7Bzh6E/lT/g7HpwChBjQmsHcPKX1t6290jY/QIqa7cGH+1ixswps5kbOdGUkWcy16wtMfkl4bwTrrj7ufyJtWY1cKMoSNnD2XVDwLUp9HxN/rdSjkkG4+k/IWYzPLYThnwHfzxYLhg349QfoFBh7939X61jjE3NGX/+G3w3P438Aj1LnpFWnUYFX4+EO5tDbJb4PS0/CiN/EVfyRc/Wvk2BO4HkK+JZmTGG5VuG8HLfGQQVnqvtZd0QFAoFjRo9y7lzU4BFiMv4GKAFcAg4CGRiCgvFaISzZ5/BxqYV3t4P4+5+n6USVQ2oVfL05ptv8umnn15zm8jIf39mnZeXx5AhQwgODuaDDz645L5333334u8dOnSgsLCQzz777JrkaerUqbz8cnnZPi8vj4CASiooFlwVjo360GbYTpIOfUDe6ie5mBqucZCJprs/AnvTl25qBESulG2+D5bbfNpB1+ektZKbQOK+17F1b4etW+ht8UVRqxl5iYcuueq33V1acVPqXkXpejDotZzbPAqjbwcI/xi2vA2Jey/dqKxIpkEf3Sm+ZNoKgyoFqbDrM1ya3o/G/kr5wI3ALBAfflZML+syjEYjPy9O5+Eu8M5qcLCGmePgm7/h+T/AYPoY22vA10ksCwbdWTfC0h1pDIp46uO3g4tLb5o0+YC4uA8Bd0Tn9BuQBph98HyArkgbL5+SkiPExb1LYeFxGjd+97b4XqxJ1Cp5euWVV3jkkUeuuU2zZs3w8fEhLS3tktt1Oh1ZWVnX1Srl5+czaNAgHB0dWbFiBVZW1xZyduvWjY8//pjS0lKsrSvPp7K2tr7qfRbcOOw8O9Jy0CoK0w5w5q9BGGwcJRuseT8x0jQYRG+ychKorcVAM6A7FKbD0d9h1eMQtx16vozu1B9E/hGGrWcnfNtPxbVZw08SD9oAgdSgueYlVabxF29+qZbcv/8NjEYDeQkbSTrwLrridMjUwpwBMuX5wHKT1s4IUath+yeQfAhOLZPqVFGGTJJGLoct76Iu0+Lf/fNbWoeZOI2MqX638KpAfqGB5HQdzXrCjJ3w8RAZkvV3he/HQL82knn3xxH4bruQqd+WZ/DSIxZN6b+Fh8dIkpNnUFbWDFgB5AEjELuCLkgYcEXyHQQcJiNjKfb2bfHwuPUJUAuuRK2SJ09PTzw9r2OmCPTo0YOcnBwOHTpEp05ycNi6dSsGg4Fu3a5uAJaXl8fAgQOxtrZm1apV2NhcKwdIcPToUVxdXS3kqAZh79WFoOF7OLtxOKVzB0h4sJM/ZJ6B3Diw94LnosDZv/xBwSPgxCJY9iD4dACFCjpPpjjrHDGbRuHf4wu8w16++os2EARtgJkbKrbxDoHCruraeDdQZarLLbmK0BYmk3V2Adr8OPISN1Kaewa82sKdr4PRKGQo4zScXCzkSW0NIaOg5T0wO1wcxRVKmb6b5gK6Ehz8wgkc9PO/GlpQKEBD3SdOAGqVVC8OJYCtFXz/D3RqDH89DfYVvjJDfGFiN+jxBXz+a6qFPFURFAoroAA4C4wCzgGOwCCEOBlM9xsBB6AjEEVq6jzc3Ydbqk9ViHqheQoKCmLQoEE88cQTzJgxg7KyMqZMmcLYsWMvTtolJSXRt29f5syZQ9euXcnLy2PAgAEUFRUxb968S4Tdnp6eqFQqVq9eTWpqKt27d8fGxoZNmzbxn//8h1dffbU2d/e2hI1LK0JGR5CXuImcmD/QaXPQWrlTpE6D58+CjeOVD2o7VipT+76RybxGnWHI97D5LRJ3voJK44pr8zGorOxrfodqGP86I68y4XmFKtPc/IlA7ZpX3ioM+lISdj1PRtRvoLQSYl6aIXdqHKDjY1JR6vsJnFwCyx8WB/wh35m2sZMw61/vAMA96ElsXdrgFDAAW9fgW16X2Qhz+Nm1QsrqAexslXQOseVwYjFWKnEZX/YYzN0v8SwutnB/O6lEBbrDf4fBI/N0nI0roUWT65+8WnBt2NuHodVuBeyQ05Y1SKtOB+xCNFBmL0M7hDwFUVKyEq02EWtri7ykqlAvyBPA/PnzmTJlCn379kWpVDJy5Ei++aZ8yqqsrIyoqCiKiooAOHz48MVJvBYtWlzyXOfPnycwMBArKyu+//57XnrpJYxGIy1atODLL7/kiSeeqLkds+AiFAolzgEDcQ4YCMCJRa2g/YTKiZMZnZ6AY3Pl96bhchrf9xM4Noe47Y+SsOcl3Fo8iHfbF7B2bHbL/jv1AbeUkWdqxYWOV11xl5HybDkz6kuVyQyj0UDM5rHkJqyD/p8KUdKXSZUpfhdEr4NfesKTB8HJD0IfgJx42PIW9HoHHE0Vk4Ae4OiLWmegyV0//usz+Evy6upBu64inhnvxaNvxQHg7QB3fysddnd7yC6Gl5bDmA7w41gY0xGeXARrtuXy4iMW8vRv4eX1ANnZawFfJN+uFLErmIVYFYQin1IlUp06gMS4gF6fXwsrbrioN+TJzc2NBQsWXPX+wMDAS0Yz+/Tpc91RzUGDBjFo0KAqW6MFVQu9Nkcm7K4FJ1Mrz7+7OD4DKFXQ/hE48COGzk+Ssf87MiJnolDb4dFqIt5hL2Pt1LQaV157MLfxSIRJb8yXNt41HUkM+G13526vJVfcc/jvcIKmVttSawS5cWvJjV0J41ZC84ESRn10luQo2riYDC+N8Hs4PHVYTFk7PQF/vw/H58Edpiq0QgFWDjg3urNKWh8d+2ytl8QJ4OH73Fm8NpNNuwvILRHd02M9xBQzr1iqUG+vgQHfwbYXwNEGCosry1+z4GZhb98eG5uWlJQkIS06B2Tarhh4HBGNm9ESycD7HVCgUrljQdWh3pAnC24/qG290WdEXXsj8/13X2aHYO8J+hLoP02qV7/eidHBl/TYJWSenUerweux9264gZkVM/Kuh8BTGZW24upblakijEYDRoOO9FM/QqMuoluaPwTidohGTmMP1s7Q+C6ZptvxiQjGH9kKti7g2kx8ncwoSIWcWOyCrj6Fe7NQKqh3xAlArVYwYqAbG3cVsOZpCGsEaQWgM4C3EzzbG3o0g55fwMfrILNQcvEs+PdQKBQEBn7I6dMPIpYFLYHDwDAuJU5muJjum4NWG4+1tXcl21hwK7CQJwvqLDxajCfp8Icw6AshQ5Vh/3fg0Qaa97/09pSj5VUrzyDo/R5seg2eicCw8lGi199L0IhDaBwCrllJMBoNMo0FqG0961XIprmNdy0EbajfJKkijEYjuXGrSTv5PflJW0QHp9JA4zth52diymo0QH4S+HaSqbmNL0sFqu8nsOkNOPgTdJ0iovCKWrm9X6NQqnFrOf6qr3874efF6XRsDJ9ugk2ny2/v3QJeDodhYTC2E/y0C+xtFIzo71Jra21osLdvi719RwoL1yFeT2qkXXc1NAVcyc7egKNjlxpZ4+0AC3myoM7Cvc1jpBz7DP2iEfDgaqkImGE0ws5P4cxaGDFX2ipm5KdAxGLJIzOj/URY/yIk7IbRi9BPb0LEgiZYOQbiFfwUnsFPo9KU+9HotXmkRXxHeuRPlBVIBcLKIQDPoCfxCpmCytq5ene+ilBbAbs1DaPRQNyOJ8k8/Qs06gq93gYrW5nYPLEI4v4BlTXcPwuCRoLK9NWXHQt/TYHNU6FJLzjwA7i3hvwL0PpesSTY9x38Mw2fTu+jtnat1f2sCyjVGjh4UpzYuwXCrIeghSfEZsLMXXDfTPhwCIxsD7P3wQsTPHGwv1JTZ8Gto1mzz4iKmoRWewRp3WmAROAEMm1nA4QgxEkBuKDTWZIwqhIW8mRBnYWVrSctBq0hev09GL5qKgTIp734PB3+FTKj4K6p0K6Cs3heEiwYJtWEjo+X327rIlUIbYFYHrS8B7LPUdaoK0kH3yfjzFxa37sFhVJNQdo+EnY9h7YwCcLGy0EUBWVRa0g+8n9knl1I66FbsbK91PXegtpD6rHPhTiFjIbkg7D9I7lDYy92A/G7pD3X+r5y4gSik3tguUzSFaRKG3jtszJtt/9HOLcRitLxDnsF307v/et1mifslqeNoV66NQI7DohJ6Bv94ZVwiWVRKWXKbnwX+M8GeGeNaKEAnp9wfTuamsT959Zy/8wAfA6n0eGLU7W9nFuCRuNFUNACYmJeIz9/H2KYGQ84AW7ABWTyzgtxI89GrbYQ/6qEwmgJwPnXyMvLw9nZmfaTci+pXlhQNdAWJJB28nsyomahL04DpRV27u0pyjgkJKntOMkcS42A08vFBfrh9eJCbkZ6JHwXDGNXQNBwWPeiHBinnJL7ZoWjNirQlWSCQSuP0ThI6GvroeDeQto/mdHw+904OIfQ+t7NtfBuWHA5ijKPc3pFd4wKpFVn7yVEO/BuiN8Jh36S6J+SHBgxRxzsL0fEYlg6Vn5X2WLj0hql2g4Hzy54Bj+Fjeut59aZUZ8n7Cpi1HPnOHQwhx5N4Y+jUKaX251txdvp3UFw7wxxF88tU3JhVzusNXWr3Z1JLAYj9ZpAAZSUnOfkyeGALTAUaIUMiBiBOGA1IiYvonXreTg4tLvaU9222Lq1Mc7Ozhezb28UlsqTBXUeGocA/Lv9F/9u/8Wg16JQWqFQKCjNPUf6qRlknlyIrjgVXJpCv0+hwyNge9lZ1t5v5KDacrBcz46R6gKIJmroj+gW3Q/N+sk2jTrBuU2w71s4s0YOys6N4Y7XYPA3FCwdQ1HmMezcLV9GtYmUo/8jad8bYO0iFSZrJ2nN7vg/0TiNXwPdn4e5AyHtJBy9Cnlq2ld+KjWEjDqCjUvralmvQkG9Jk5lZUZWbs7BWgV7YsXHqX8b0OrFVXzGTlh/Cp68A15ZAc+Od69zxAkk6y6d2Npexr9GXt5u028TKI9pASlrBgITge9Rqz2xtw+r4dU1bNS9/2oLLLgGlCrNRYG3tXNz/Ht8Rtj4eOw8OoE2H5r2uZQ4GQyw91s4OAPueF1co3MTRCsVOq58u1b3gp2nhMBueEUms0rz4Im9UtXy7w6BfeCv52Riy86T7LOLa3LXb1sYjUYKUvZwftsjnFremcgV3Unc8yoXjnwqxKlJb7B2hMO/wJ4vQamG3u9LlXDhcJmqGzFX2naZZyp/EV0JAC5NhlYbcerYZ2u1PG9NIidfB0BoI1g8SYwx/7cZftkNvVrA/tcgvwSWHJHtJ9znVourbfhIS1uMjHxcbYrOCeiMwVCE0aituYXdBrBUniyo91AolLQY+CfR6wZTPKMjNOsvJEpbKI7RWWeh+4vQ82UozoYlY6TqVFErpVJLrlnLQRD+iWiqdn8Oqcch/CP48zG4/3chUWufAdcW6Eoza2eHbxMYDXpyYleRuO91tHlnwdZNvJpUaorOzJKJOJUGkvZB2EMQ2Au0RRKvsv1DEYDH7YDzW2QaM+AOiV+pDCeXgkKJb6f3K7//X8J2muiclOngSGC1vEZNYOuefPQGcLKBbp+DhwMEeUuLbsZOaOUFT90J7/8lVgzBLWxre8kNFkZjGaWl5xErAoBCIBsxz/Sk/PDeAoNhF1ptKjY29bPiWRdhIU8WNAhY2XnT5r7dZMcsIe3UTxRv/wSjoQxsPURU7tcFNr0JR36VSb2H10u1wgyDXnx9AnqCS2MI/xBaDBDzxKZ9RXh8epWYJh76GdIjUQd6YDToKUj5B21BIiqNI46NwlFpLnVENxqNFGUcoqzwAiqNE/bePVCqLL43lcFoNFKQ/DeZZ2aTHbsSgzZXjFB9O4qY+9QS6PIMvBQLu7+Avz8Uj68+FcTcXZ6EyJWwZLRUEw//KuTJpYkMG1yO/Auw6384BQzGzr1tle9T5ED4ymk2Nun1t11nxp9bcnCygX1x8PtDYkdgbSUfqX2x8Mxi+PpvsFJCUEsby5RdtcLcOMoBlgCRiNYJJJqlE3AnIKI0S65d1cJCnixoMFCqbXBvNQH3VhMwGg1kn1tMWsR3FP4zTTbQ2EOnydD9BTmQVkT0X5CfLHl5ZjS+Qyoah3+R1o82X0Qr7R6GDa9gRMWJRS0oy4+9+BCFlQMerSfh13UaRl0xifunkhO3SoTuJqhsvfAKfhrfDm836LiY60EqSytIO/UjRWkHMBoNoFBiLMsX0mvvAbpCKMqEDpNg4mYhrlvelpbq8FnyN9v3Ldz5hrRkzQgaDj1fhT3TIfOs3JZ+Egxl0s5zbwllJXDqD9jyDmqjiiZ3zaiV96E+ITqulLwSWPUk+DrBiWRo7S0u4t2bwpbnof00KCiFrmENP1OyNqFQqLC2DqS0dCdihjkIaAKUARHAXiSixRu12h2NxrfW1toQYSFPFjRIKBRK3FqMw63FOPRlBZzdMJKCrEPQ4dEriVPmWVjztEzT+V1mIhf2IBz5DRQqcPST22xdACOpRz6Gtg9C90Xg1RYKUzEe+Z30XZ+RfmqGnI4bDWAmSFZ20GY4emtnLhz+D4XpB2kxYMVtSaAMumLObRxJXsI6aafd+Zq8T9HrTC7gYTDuT7GW2PetOICX5MI9X4th6spHocvT0PMVIVSn/4TQy9zUuzwFO/8LumJI3A8px1BaOWL4phXYuIoGSl+Ko39/mvT6GY2Df5Xvp3nCbsS5tTQEiWlSqhYvRxg7C4pMEhp7DTzUBd4dDH4u8FxveONPCLG07KoVen0RWm0q0Bh4EHOGnSAAaI9Es6Ti6TkZhcJyuK9KWN5NCxo8VFYONO+3gKi1/Sj5qTOEjoWg+yTJ/sxfkmHmHACjKxGAm1twKnX5wTlxv4iS+/4f3Pl6hW2bSruv1T0wqw/4dZWD/4XD0GKQTPDt+gxaDIRxf5K3cBhpEd/g3e6Van8P6hri/nmGvORtEDwKYrdBwi65o2k43P2RGKD++RiMWQz9/g8cvGHdCxLs224CbP8YDvwoOjR7T9G1XQ6XJqC0AsdG8MeDWLsGEzR8P7nxa9AWxKJU2eIUMLDaBOK207YSmzYGZQxoqP8tu3PxpWRk6XCxhdf6gYsNRFyAM2mw8BCsjoB/XoJ7QuC1ldCmuSUIuDqRlbUGo7EEGA6UALuAc4AO8XrqCNwFbMHdfdjVnsaCW4SFPFlwW0Bt406bYf+QHvEdaZEzKDs2W+7QOEjLp9tzV9obgJgrooAOj8n9BWlwdLaQqp6vVv5i/t3kIH/qD3gxDs6ugz/GinZn3EqYd4+QhtBxXDj+Ofkpu9GVZmJl445r8wdwCRxe7zVRBl0JZcUpKFU2qG29L9FbaPPjyTozW977c5vER8uzDSjUELUKtr0nE3Qnl0DmJ9Ji6/K0VJEO/AhDfxST07gdoNdJBUllfeUiClKlTXd+G1aOjWk5ZA0qjT1uLR6osfdBqZCx+PoOo9HIAy+cw98FPrkX3loNcVlSaVIpIK8ESsqg37ew4gl5jKOdRe9UncjO3go0A2KANcjhvBVgDSQA8wB/wEhBwVGsra8Tsm7BTcFCniy4baCycsCnw5t4t38dXUkGaRHfkXL0v2KoWBlx0hbB3q/F32nw15B9HhaNBINOHqO8RhsmbDzs/x7SI0R/0+9T2PCyRMY0HyAxIOEfoz8+l9yiaPBuC9kx5Gx+ACunprQcuBpbt5Br7k9J7lnyEjdi1JegcQjE3qs7pXnRANi6haK2qdkUdaPRSMGFnaSf+oHsuFWgKwLA2jUEz6AnUKrtyTo7n+Lsk6BUiX7Myl4qfyDXWwyGu96Cf/4Dals4NlemHVVW0HIIJB8wvZhBfkb9KVOVzftduaBDv4BChW/Ht/Fq+2KNRqtEDpTz/oaC3YcLOXSqmE/uhQlzxdtp6WPQxdQBP3kBPlkHiw7D83+AnY2C0FaWtl11Qq8vQMTgqxBxeH8klgVEOB4DLAVApyuohRU2bFjIkwW3HRQKJVa2XniHvURm9FzKZveHB/4QnY0Zecmw/CEJkQ0dJ35BZ9ehtvNBr7TC6OR37RcxZ9+Z/IPo+ChsfUeIQsgYWPU4WDnIfcN/A7/O8nvqCcr+eJDIFd1Q2/mgVGmw9+yCZ/DT2Ll3xGgoRVeaRfw/T4teSKkWkqHNl98N4sOjUFnj2vwBGnX+EGvHwEuWZjToMBr1KCur1lwHZcXplGSfAoUSW7e2qK1dMOrLSDv5AynHv0RXKDmAqDTSqmw1hNLz20jc/ZLc3qwvdJgIBSlSmStLk2m5NvdB0kHY/604vzcNh4Q9kJdY/uIKpejIDHrx6Wp8J2yaCn7dLnWTB4jbCTv+g0fQZBp1/vCm9/PfoKKTuKYeBUlfC39uyaGRC/y8G/q1hlWTQV2hsBTiCwsmyeTdvAPw0H2uODtaKk/VCSsrL+AUEg4sEVKCPGA/cBRp50F6+kLs7FpYgoGrEBbyZMFtC7W1K62HbObMusFof2wHje8Cr2DJx4teh0JljcapBca4vVjZ+eB+54+4tXyQ06vuoiRhz7WfPGGPVFJcAuW6taP4SOUmlAvWkw/INs4VyunebWHiFozftKTM3gUa30Fp1Gqyzswp30apFhKhtJLw26Z3S1UmcZ9YMXR5GqNLIFn7viV3xQbaDNuOQqkhI+p3cuL+pCTzGAAap+Z4Bk3GM+jJ6wYdl+ScIenAe+ScXwZGE0FT22Lv2ZXCrGMYS3NlX9xaQpthoLaDo79B4h54aB10ehwW3CeC/H7/kSe951tY/aTol5r1g06PQfsJsPxhiFwBei2UmMJMDXo4u162O/yr2ErE/i3WA8VZsPU9COwtVaiIxXByKQ4+dxDQ/fPr/yNUIczEaWSMEKf6rnMyI69Aj0Yl4b8aFdi8JC3Jns3gmbtgVAfJt/v4XpizH9o0s+idqhsODmHk5m4CeiI6p0hkui4SIVLtAV+gkNLSo5w58yi+vk/RqNGztbXkBgULebLgtoa1c3NCRkeQc34FmdFz0MYeQK1xwrXnV7i3fLhSUuHZ+nESdr9QPvJ+OXRa2PeN6HLMFSqDAYoyxC4hZqvonw79LM7mDpe5Azt4Qacn4MgseGIPDJouv69+UqJjPIPFPqGsWMTviXth9WTo/KRUcba9D8+ehA6T0P/Wi8gV3cQvyQx7b2gWjhYlSQffJf30r/h3+5SCCzvQa3MAJYayfIpyTmE06FAq1ZRkn5aIGoUC3FtDyCiMChUF+78XktPrHdmPs+vE5duvKzy6S6p3C++DF2Kgx4vi9N7rHdDYydTiyHkws4vEqTy0VtpzQ2dKZUmvBe9QWfPR2UKYlFaw+ikAnFzb4937VXJi/iBj93SM2z8GQOPcAq9u/8Uz5Nlbqq79WygUDUMgXhEujioSs4UwhTaS+JWMQvg7Wibvhh6QNl6AK3RuDKdjSmt7yQ0e5UG/WUh7rhiZ6PQFxiNeT2bcAeziwoUZWFs3xt19aI2utSGiYdSULbDgX0Cp0uDW4gFaDl5LyMhDtB66Da/QKVetxri3moDGqSnMHQQpxy69szBDxOEZp6H3u+W3n98iFS2/bnB8vgQaZ5wWA8/KENhHKipFGaKt6vSY6KXObZR8vZdiRZh+cglM2ATDfoFDMwGlZPgd+EGm0AZ/LcSp97vwzHHxSmreX6oz+lJ4+jhaQyExm0aRFruUzIKTZMavIDtmCaWGfLQt+lCi1Eu1yTMIBn4BXiEi3o76Ex7ZCo4+MjHX7VnJkntinxDLtU8LOSrKhBMLhBAWZ0sEjhkqK+j2vJCuvCS5zcZJBPVKNXi3h12fS59IoYIjv+HUeDAhD0TTcvBanPzupvFd39N+Qhqh487Rdnw8oQ9E4R32cq0Qp459tjL87Noaf93qhNFoZNu+fJxtYbYpFvCNVfDfTbA3Fpq5w7pT8NIyuc9KDQaDJW++uqFSmat7axCheE+k4jSOS4kTptvvBFqTkvIrRqPl7/NvYSFPFlhwk1BpHGk1ZBPWRiv4sT381hvWPgeLR8MX/nB2g2io/LvJAwrTYd2L4N4KNr4muqT00zB6EQT0qPxFykRsjbKCB1SXp6WscXyetAHHLBVN1ZHfhFx1eRb2fSXTa7Hb5THN+smovq5UWoLN+sLIuTB2OZxeIaHHI+dJVWn4rzB5H7yWAqMWQmk+XDgETx4UUpQbL887dhk8dUSm2f6aAgM+g/idcMEUaObXBe79UTybSnJEIH9yKTib2pXFWZfuq19XaUPmxJXf5ugrGqdlD8GmN7BxDcav238JeyiJloPXYuPS4pKnUKptsXZqhsYhAEUt6IwiB8Lk7yZKBIuCBlV12nu0kP0niniiJ0yaB1GpMH0ErHwCfhkvlSi9AX7aBZEpcDAOwlpbxOLVDVvb1ggp6oTYFZxDcu4crvGoLpSUnKO4OKr6F9jAYSFPFlhwC7B2DCR41HGa9l2Io8EOzZlNELUG1DZSGXJrKQRp52fwYzvIOgeZZ1AUpKKycpbcteCRV3+BiMVS4bGrMDFn7wGuzSEntvx6yBipZIHYLRRlip2CSTiOUik5ftrLpm3a3Cfu6fu/E+G1ZxCcWCj3qazEaX3CRkg+BMfmQKshMGwmnF4pJMm7Ldz3K8T9I89v6wpRq8ufP+h+CVQ+NlemFUuyISvatG6vS9dSki0/rSoccFOOoVDa0KjDVNo+GEfI6OP4tHsVK1vP6/1pahwVBeI2CmWDsCaoiLl/ZuHnCl9uhfvCYExHCQMe/jM8Ph8OJYjmyWCE4TNBoVTwyP0etb3sG0JKRy+OvBJc28u4JeTlmWxU6GP6WQBc732X+8vKLLmc/xYW8mSBBbcIafeNpdU962j7wGlCx5zErfFQ2DENvguSy+apqHVGj4IWbAAATGBJREFUnPwH0GLQGjpMysO/+3+lzXV2Q+VPfH6btMS6PCOVJjOMRqnkqCuQDLcWUGiKfvFoJZWqC4fBo43cVpoP2edEY3U5OkwSIpZ2QqpihamX3t+oE7QeJjolgODR8jyHf5XrLQaBa1MhXbbuItY2Q2UFHq0lNy7zjKmVOENaic36Xvo6x+ZJdczLlCuXFQNn1xPQ7b/4dny7Wpy/qwq207YSG+zByBghTg2p4mRGamYZVgqw1cCpFPh0EwwKhpWT5XJPMKw9Ca52cC4d3pvii4db3ZfTeioCUSqEQFlvSLv+A+oYCgtPIE7i5ixNG2TS7lqQ+9Vqx+tsZ8H1UPf/wy2woJ7A2qkZTcPnEtBjungZUbnfknuriWSfX0HegmGieeo0mf9v777Doyq+Bo5/dze99wahd2kCgqBIlSIqCq8UEWkCIogFFVARBRVUrMhPLDQVRMROB6kqAtKbSELopJPed+f9Y0jIkgQIJtmEnM/z8MDeO/dmJjebPUw5g0cIJEfqSeTb3tRL9VuOtP4CEZv0Xm51e1w+lnganH30v1NjdVLI5HPQ6gt9bM98PbTXbHDBCrsF6b8zk/UqwNyAK796veCXkXq1m8lOB1QXI/Q5o1Ffk3hK1yN/gKaUrqtbsF4V13qsnofVaZr1HnSntsH+RdD+JX3/xLOw5H7sXavgU6+QOpcTR7vr+U25w3Q3W29Tfp5uJqKTwc8NLqbBnonQIOjy+d5NYUIX6Pihft39Dg/bVPQG+FKDOMNJjEY46lqbhqnhtq7SdVPKwuX0BACN0CkKuqMTZRZmD/b2Qbi4XD2HnLg26XkSooTZOfvhHtIB95AOhSaqNBjtqN3tewIaPYHhj1nwbhWY7gKzgmHLNGg2BAb+cnlPPID0BFg7QQ+XVb9LH8tIgkNLofGljNl75+t5QtXvglp3wz+/wIaJ0HwoeBbSexN96NK9L+reqlseKlgmNxllXj0uWg+vJZ3Tc5/AelPlU9v0pPEzf+o9/XbOAY9QqNYO0uIh5iisewEWddV7Btq7wPeD4cPa2KUlUPeeNZjsrzZ3w3Zyh+l+iO53Uw7TXalPNy8ysuH0RajmDW3fBddn4daZ8L+tehPg+oHw8UNgVrD7UJqtq1wpuLg0AM4Bud/vVuikmT+jUxdc6TCwn8DARzAYJAfXfyU9T0LYgNHkSGi79wlp+SoJp1eQkxGLOfMikfvfRZ3aqlen1btXBy///Ax/zoL0OBi2RQ/lZWfofEjKonuozu+BzdP0liehd8BnrSByn95Hr9ecghVQSm+4G3IbbJqic1DVu7dguX9+1r1NRhNcPAmnt+lUAqCTWkYd0OduG6uH5EAHU7+M0kOISedw9r0V14DWJJ5dR/bCzpe/Bw4eOHjUITP1Avz2Mg7uNfBr9Tp+DUZg5+RT4t/zkuA8YyPvuy+66fI4XU2P9h4oA6AgNUv3Mrk6wO/hOpv47C2wfpzugfJxgb8PpzKK8jc37Wbj69ubc+c+Ru9pdzfgCfRFpy2YC9wGBKGDq/3AMby9exAQ8IiNanxzkeBJCBsyOXriW3dQ3muvmn04t3MyST8/ht5iAcCg5wzd9ZLOzH18tR4CS46EztNh65uwdz5GowMYHTHsmY+Ld1NSHTyxpMZBRqLOHZXLnAPrJ+qVc/auutdn2GY9bJbf6T90CoH7Pte5q1Y9qTOnNxmohwh/HKrTCXjV0hPEz2zXdds5BzJT8Ks/gqAWL+F4ac6SUhZSo3aQnXYOo7077kHtMdpfuaS6fLIapou5uYfprvT+wmiUgk/6w+g7L0/De6Yz/BMJ3edAr7l6OK+qN1gPJYnSYm/vS0jIE5w//yFwHqgCeKNzPG0H1pD7O8TJqQ4BAVPw8+trk9WoNyMJnoQoR1x8m1K350oykyJIj9uPArKSTxEfvoS0tZc2IjaYLg2nKVj/AibnQAKaPk9g84mY7F3z7pUWs4d/V/fA/H51nUwzqLmeFL5nPqRGYTA6YTTYYzYY9RCeb109VJiVqlfwrX0Oqt6uh+nmtYPIA9B1hs67tHMOZCbjHtyRlJjdqIWddNXs3fCt/TDBLacUmOhtMBhxCyoiNUM5duVqusrQ25QrM8vCW59doFkVWLhDb8/SKAhG3QF31tZzn74drofyfj4A5xIgoAJMFr8ZmM0ppKcfRwerp4ALQG5yUgW4EBIyEh+fe3BwCLbanFv8d/JTLkQ55OhRE0ePmnmvA5s+RXZ6NJbsVOycA1DmDDKTIzAYHXDyaoDR5FDgHi7+LbjlocPEHv2c2H8Xkn1oGUZ7NzxCuuBTZyAeVe/GnJXAiY2PkPJdf3D2weAaiEo8DdmpuovhzHb9x+SkJ6Ovew6DvSu+dQcT1HwSju7VseRkkJkUDsqCg0fNcjtX6UbkDtNVxsAJYPSUU8QlWrBkwb1NwNkeNv2r96+7vwl8Mwxur6mzir+1HuJSYeC95XPI9WZisaTz778jSUsLB3oAzdCr7VKBPcBm3N2bERQ0FINBPuZLg3xXhagg7J0DIHeutr1roZPRC17jT3CLFwlu8WKh5412QdS/dwPpcQe5GPE95syL2NUKwqNKV7LTzqMsOTh5N8LRo/alAMmMg3sNqwDJaOeEs8/Nt3rHeUa+YTpDDVtXp8x99m0Mi36K57nOUD8ILiSCk73eyy4sBh79CoZ8pbdlaRwMS/dAz/bu3FJXEmSWtqioxaSl/QMMB0LynXEF2gPBJCd/TXz8Knx977dJHW92EjwJIXD2bYKzb5Orl/FuWEa1sa38w3Q3exqComRnK1754BwtqsLn2yEpAwLdITkDXvgJ7qoD03rBcz/C3jNwPhEcHY189U4tW1f9pqeUmZiYb4HGWAdO+dUB6hAd/Y0ET6VEgichhLikMs9vym/llkSi4s1ExcNTHeHpTlDDF7LNem7T5F9g1m8Q5A4fbIINx+C9ySH4estHSmnLzo4mOzsS6Iye5xSFnvdUBesM4w1JS/sVpbIxGOwLuZP4L+QnXQghuJQtPLofxhOVc5guvy07dSbql7rDmPYQcmmPbHuT3orlrjpw29t6S5ZVh8HT3cjwvhVjS5aKTqncHE7rgNgrztZEz4EKBEyXyluQueIlT4InIUSldLT75X9X9mG6/E6dy2TpyovYGeGNtfpPvQAdRD3RHhzsIMBd53t65nt9zYaFdXB3k8SLZSE9PQLd0+QIDEAP0VmAf4BtwHxgKHACe/sqGI1FZRsX/4UET0KISid3FV3u/8gfCKvcw3S59h1N4+6h/6KyzUy8GzrUgbRsWLobnv8Rfj0IKx7X+9z1bQ5PLYc+d3vS6XbZK60sWCzZnDr1CrqH6WGsP8KbAvWBhcByIIGAgKfKvI6VhQRPQohK48pklw65O1RJ4ERmloX7Rh+nuoeZdWPB53LKMHo31T1PPebA8z/Bx/3A8dKnxwN3e9ukvpVRQsIGcnLigP4U/vHtCHQFvsLePhB///8r0/pVJhUm1Wh8fDyDBg3Cw8MDLy8vRowYQUpKylWv6dixIwaDwerP448/blXm9OnT9OrVCxcXFwICAnj++efJySlsXyAhREVW2J507lTL+1OZZWVZeG7mWc5G5eDuqCeE/3lC7+KT6646MLkbzN8OCWmw/h99vE1T18JvKkpcUtJ2IBgIuEqpmoAz3t5dMZmkR7C0VJiep0GDBnHhwgXWr19PdnY2w4YNY9SoUSxZsuSq140cOZJp06blvXZxubwdhNlsplevXgQFBfHnn39y4cIFHn30Uezt7XnzzTdLrS1CiLJVGfeku15/H0zlwbFhnI3KoUUouDvqwOizP6BjXZ3Hye9SWq+Rd8ArK+GnA/DRFujU2o16NZ1s24BKRKlsdO/S1RgxGFwwGGSuU2mqEMHT0aNHWbNmDbt27aJVq1YAzJ49m3vuuYdZs2YRElJUrgsdLAUFBRV6bt26dRw5coQNGzYQGBhI8+bNmT59OhMnTuTVV1/FwaFg1mYhRMVRmfekux7HTmTQdei/NPS3sOYluCVYH7dYYPURGPY19PwfbHtGJ8gM8gAHE7y1ASLiDWyeVcW2DahkHB2rARvQ27AUFRwlotRFHB1Dy65ilVCFGLbbvn07Xl5eeYETQNeuXTEajezYseOq1y5evBg/Pz8aN27M5MmTSUtLs7pvkyZNCAwMzDvWvXt3kpKSOHz4cMk3RAhRZgobphPWps05j7eThbVPXA6cAIxG6NUYVj8Bf5/WE8YBTsdDlhnOJRlY+Vkdbm9+82zFU54pZSEp6U9SUw8AWcAc9Ma/V6YqAPgLg8ERH58eZVrHyqZC9DxFRkYSEGA9xmtnZ4ePjw+RkZFFXvfwww9TvXp1QkJCOHDgABMnTuTYsWP88MMPeffNHzgBea+vdt/MzEwyMzPzXiclJRW7TUKI0lPZ96QrilKKbX+n8MeeFJJTLHy76iIz7gOPInZUaVkNejSCub/D0Nv1386OBk5sbIKftyReLAtmcwrh4U+TnLwDCAJaAdnAfuAv9ATxO4GcS6+3Exw8HpNJAtvSZNPgadKkSbz11ltXLXP06NEbvv+oUaPy/t2kSROCg4Pp0qUL4eHh1K5d+4bvO2PGDF577bUbvl4IUXoq+550RflzTwqjp5ziUFgGXi464aXZArM2QhUvePi2wq/rWh9eXaUzi7/zG0wYHiCBUxlRShEe/hzJyfvRqQmcgL1APHriuEIP4/0DXARSCQwcTlDQY7aqcqVh0+BpwoQJDB069KplatWqRVBQENHR0VbHc3JyiI+PL3I+U2HatGkDQFhYGLVr1yYoKIidO3dalYmKigK46n0nT57Ms88+m/c6KSmJ0FAZXxbCFiTZ5bX9uSeFLkP+5daqio/7wcHzl4bgciAxHQYtgvRsGNGu4LWZOXpblgc+g77dvHj9aZnnVFZSU/eTnPwH0AfYBRwHvNFbsWQC4ejZNxfw9+9PQEB/nJxkf8GyYNPgyd/fH39//2uWa9u2LQkJCezevZuWLVsCsHHjRiwWS15AdD327dsHQHBwcN5933jjDaKjo/OGBdevX4+HhweNGjUq8j6Ojo44OspKBiFsTZJdXptSilEvn6RpiMLLCcYtg2reekguLQt2nwVne3jiW5340ssl/7Xwzd/g6mJk/ivV6X+PNyaT7PVRVmJjvwd8gH3AWaAf0IDL05VT0HOfDmFn5y2BUxmqEHOeGjZsSI8ePRg5ciRz584lOzubcePGMWDAgLyVdufOnaNLly58+eWXtG7dmvDwcJYsWcI999yDr68vBw4c4JlnnuGuu+6iadOmAHTr1o1GjRoxePBg3n77bSIjI3n55ZcZO3asBEdClGP5N/CVZJdXt+3vFA6HZ9IiFH4Ph8l3Q7ZFD9n1aAgf/R9M+gXWHtXDcx/ky6u4dDccugCrPqtFzw6etmtEKRvsvog9tLV1NQrIyDgDeAAn0MN2rsAqIAHIQE8eTwXsiYz8Aje35ri7t8Egm9mVugoRPIFeNTdu3Di6dOmC0Wikb9++fPTRR3nns7OzOXbsWN5qOgcHBzZs2MAHH3xAamoqoaGh9O3bl5dffjnvGpPJxIoVKxgzZgxt27bF1dWVIUOGWOWFEkKUL/kDJ+llurY/9qTg6gh7zkAVT5ixHkK9wcVB52pyttcB1fkEHSx98H9wLgE+2QYz18Og+7zpcZeHrZtRahww8mD4Sh78LJSgPdHc+u4RW1cpj9HohF5R5wfsBMLQwZQZHTRVQU8gt6DUEY4fH4mPz/3UqDENg0H2GixNFSZ48vHxuWpCzBo1aqDypcMNDQ1ly5Yt17xv9erVWbVqVYnUUQhRupxnbORkdD+MJ5Bkl9fJYoHsHDAZoZYfLH8M2tQAgwHOXoR3N8JLK+DBZrD/PPhM1POgnB0NPDcigNefrnJT92S4Uw13A8Rxkv89NIwnWFBuAihPz3YkJ29HbwScO2x3AN0T9SiQf5iuM7Cf+PhfsLf3pWrVZwvcT5ScChM8CSEqL6tklzIZvFjqVHckxwLuTpCcoTOE928BA1tBVW94vy94OcNrq3X5ezr70LWdO326eePhVnl6LxwwYixnMaKvb2/Onn0XSAaGAC7olXUPYh04gQ6wmgMXiY5eQlDQCOzsbt6hVlurEEkyhRCVlyS7vHF7Dqcx7rXTKAWtq8PtNfVH7MhvoO5rsPeMLvdcF70tC8DD9/kwtI9fpQqcyis7O09MJi/08FxN9MRxN6DxVa66DaVyuHhxbelXsBKTnichRLkle9LduNPns+g27F9qeJrZ8bQesssVHgMDFkC3ObBnop4DdXcDvWfdbU1cirynsJXcvIRJgD9wtcDWDYPBg6ysohM9i/9Oep6EEOXO0e6Xk132PbESX2pI4HQdlFKkZ1hQSvH+wigwm1k31jpwAqjtD2ue0POhPtykjxkNEOBrh7+PJMAsT4xGR3T2cAB7IO0qpQHMKJWO0ShBcGmSnichRLlQWLJLWU13ffYeSeOjL6NYtvoiaRkKV2cD2TmKh1uAj2vh1/i6wfC2MG87TO0J6/6Bgb29yrTe4trc3VsSH/8nehuW+uihuwvoDOOFOQpk4OXVoWwqWElJ8CSEsDlJdnnjvvwpjuEvnqSqFzzfGdIyYd85xY4I+HKnHo4rauuVO2rBrN/0irvEdJgwPLDwgsJm/P37Ex+/AvgbaIlOVfAL0B/wuqJ0EvAbrq4tcXauW6b1rGwkeBJClLlCe5liLs8icJc96a7Ljv2pDJt8kmFtoHtDmPgzRMSBm6NOgmlRMOQr/fcjrQten5Sh/35tNTw7LIA61Z3KtgHimtzcmuPvP5CYmG/QAVQaOkj6AL1Vy21AHfQqvF3Y27tQs+abtqpupSHBkxCiTEkvU8l5b34k9QKgY13oNx/uawzfDNMr6ywK1hyBl1fA8MVQPxBuq259/Vc7wc4Iz48M4vWnQ2zTCHFNXl6diYlZjk6MeScQAqSjh/DWXfrjgK9vL0JCxuHgEGCzulYWEjwJIUpVoRv35ttSRXqZbkxauoXv1yXQpR4M+xoaBsGznXXgZDCAyQC9GkOnetD+fRixGPZPJi9o/Wk/bDgGs6eEMu4R+bAtr7Kz4wkPfxoIBQYADvnONgP2Az8REvI4wcEjbVDDykmCJyFEqcnNCJ4nHOllKgEZmRaGvxiBxQK/n4D6AZCQDp0+gmZV4NvhuqcJ9DYsM+6H7nNgaxgEe8Dc3/XWLA/18OKJh6+9Obuwnbi4H7BYsoD/wzpwytUMOEFMzDKCgobLtixlRIInIUSJyc0EDnqz1QfDV0pG8BJmsSj6PRXO2m1JvNgdxneEAHeddmDjv/DUcrjrA9jxHNTw1dd0ra/nQXX8UL/28TDy4uOBvDI2GGN5S6tdSeXkXCQ29ntiY38mKysKk8kFL68uJCfvBKoB64EodJrTqug97XID31ZkZ88jNfUgbm7NbVL/ykaCJyFEicjbdy7m0oEY2X+upCUmmxn9yilWb0kixwJvrIXZW2BIG5h4N3RtAJufghZvwdSVsOhRfZ3RqHugurb3ZHhfP7q288DZSdL8lRdpaUf499/HMZtTgEZAPXJyUoiNXQ2kAArwRG/JYgEOAjuAO9ApDLwAyMlJKPO6V1YSPAkhboj0MpWt2PgcOg0+RvipDB5tDY2C9Wa/p+Lg679h+V4dONULhCc76D3s3uuj8zkdvgDRyTDoPl/u6+xl66aIfHJyLl4KnFyAEejtV3JlAnuB+9D71uUGvDnAX8AGwAnQKwHs7LzLptJCgichRPFJL1PZG/HiSc5fyKBzPfhqF2Sb9XEHO7i3Mew/Cw9+DgdfhPua6LQFhyOhfW2YsQ4CfU3c31k2ii1vYmO/v9TjdGXgdBHYDXQHWlxxlR161V0qsA2IxN4+BFfXJmVQYwESPAkhrkPu5ry5pJepbIWfzuSXTYl4OMGB8zDzfr2SDmDFIfhwM6RmQnyaXkEXeqkDIikdxn8Hi3fB/Der4uAgQ3XlTWzsz+ihOrcrzuwDHNGJMYtyO7oH6jBBQZMxGOT5lhUJnoQQBeRPL9Ci46VephOX0wsgvUxlwmJRrP8jiVnzozAawNMZdj4HQfk6kOoH6jlPHT+EjBz4bo8eujMZ4P/mgTIYmD2lKsP6+hX9hYTNZGdHA/UKORMPBFH4CrtcnoA7zs4h+PsPLI3qiSJI8CSEsJLby5Q/iaX0MpW99X8kMWbqKcLPZOHrCj4ucOYitHxbz2Xqn69Dws8NPugLd38MR6Ng5REIDrBj7COBDO/rS4CvbPZbXhmNLlgsKYWcsUPPeboaC2DG07MjBoOsmixLEjwJUcld2cv0vvsi+p5YKb1MNrT+jyTuGXmcDnXgq2fh9po6ueX+szB9DQxYoOc85d9ypUt9CPKA3WfA3c3EH4sbUDPU0XaNENfFy6szsbFrgC6ACYgBzqJTEkQC0UBRSUxPAKl4erYti6qKfCR4EqISK7SXKUZ6mcrSybOZfPVzPGcis3B1NnJPB09GvhRBp7qwcgzY58t52KwqfDdC71c3dhk80EznbwIdXPm6QJrZyFYJnCqMgICBxMYuB35EpyU4eUWJz4HeQOMrjmcAG3Fyqour662lXk9hTYInISqR/OkFAKteJneqgWyVUmYyMi2MmXqKRT/F4+4E9QIgJgU+WBSNnRFmdrcOnHIZDPD6vXoS+JJdMOpOfTw5AyLi4aWxgTSoLRv8VhTOznUIChpOZOQ8wBfoBpwGjqHzO2UDy4EtQD/AA70J8B8YjWnUrPmRDNnZgARPQlQSub1MuSvlAJBeJpuwWBQPjQ9j7bZkOtXVgVOjIHi4FRy6AGO/hXHfQavqUKeQ3VOq+UCrarA94nLwtOAvPWF8cG+ZGF6RKKVISNiCnhzeE1gCOAM90BPJFTqQ+hP436XX4O7ehtDQSTg717FFtSs9CZ6EuEkV1sv0YPhK2VuuHHhvQRRrtiaTY4ETcTqB5bzt8MLP8EJXneyy1TvwygpYMqzwe9ibwKxAKfj5gL52WB9fQoOvtjpLlDepqXvJyDgOPAL8DHgDj6IDqFxtgabAAuzt7alb9zOcnWuUeV3FZRI8CXETKrKXSYblbG7XgVQmzTpHiAd0rg931oZ+t+peow83wbTVOmfT+A4w6Rf4IFnvXZdfXArsOgXO9nr13d4z8EAXT+ZMlaC4oklK2gG4olfOxQHDsQ6ccrkCPcjO/hqzOaHsKigKJcGTEDeB3F6mwe6L8o5JL1P5c+xEBncP/RezBVKyYPNx+HoXPPM9PNcFpt8L3i7w/E+w+gm9ou7whYLB07sbIccCB2NM3NbUlTemBNC9vYds8lsBKZWNweCAUmHoXqfQq5SuBbiTmLhFNgC2MQmehKig8qcYyO1lcoq5nGHYXXqZbEopRWqaBUcHI/b2BsJPZ9K231ECXCx89Qjcc4vem+5cAny0GV5dBRfT4K3e8NYG+OZvfZ/41Mv3vJgGszbo7VZefzqEl8YE26JpogQ5OlZDqQT0SjsXdIqCohgxGFywWNLLpG6iaBI8CVEBOc/Q+ZjypxiQXqby4fT5LGZ/Fc2C72OJSzRjMEC3O9xJTDbjYW9h+wS9WW+uKl7w1gP676eWw6NtoHtD+D0cjAbovwDabQE7I/x1Uvc4TRsfwouPB9mmgaJEeXt348yZmVgsiUAskEXRWcXTUSoeBwcJmm1NgichKoDCepmMMZe3S5FepvJhx/5Uej72L5gtDGsDLUL13KRfDyVzIhburAU+roVf+0R7eGcDfLJNB02RydC3uxd3tHBjx4FULBaYcq8zw/v6EegnGcMruuzseOLifiQ19QAODkFkZIRfOrMPaF3EVbsBhY9PrzKpoyiaBE9ClHPSy1QxxCfk0GvkcRr5W1gxGn49BK+tguMxl8v8GQEdP4AVY8D9ilRMdia4vwlsCYPIJL0n3VvPVZVklzeh6OjFnD37LkoBVAOM6E2AM4HV6E2CG3J5CE8Bh4BN+Pv3w95e0lHYmgRPQpQz+VMMDL6UXkB6mcq/hT/GkZRiZvlE+HCznsN0WzX46P9gaBuIT4cvd8Bb66HzR7DpqcvZwXPZm/S8prhUWDG3lgROZeyBsJUs7LaZzHeL2g7lv4uJWc6ZMzOBNkAH9Dwn0IHTDmAjsAy9JUt9dOB0HIjC27sHoaHPl1rdxPUzKKVjX3HjkpKS8PT0pPmwREwOHraujqjAnGds5IfofuRfNJWX/VuUa60ePEI1+3QcTLB8r87BlKuWH7zUHYa3hX1nof37MPoOmNXnchmloMF03VM1dpA/s6fIMy9rcZzEouCH2r14tstcGqaGX/uiYrBYMjlwoAtmc03ggSJKbQa24u5+O+npYYABN7cm+Pv3x929jWQTL2EbN1bD09OTxMREPDyu//Nbep6EsKFCe5kMkvW7vMnMshCfYMbF2YineyF7pgCRsVlEZemeoyk9YUgbnWJg31m9mm7EYjhzEabeA2Pawxd/wrR7weXS3ODle+HfaBh4rzcfvnS15eqitPhSg2TDafqEr+SJxx3h3ZK9f0LCBszmRODOq5RqA/yBu/tt1Kv3aclWQJQYCZ6EsBHnGRs5Gd0PY+6cmBhwkLlM5co/4Rm8uyCSJb/Gk5ahu5LubOHKuMEB9OvpbdULkJ0Dyamw7Rlome8Rtqul/zQOgSkr4N7GMKiVnhz+92loXR0W7dAr7Xp18GDxrJrSu2BD7lQjo8DmvCUjPT0Mg8Ebpa42Z8kZqHIp67goryR4EqKMXLldSu7wnPQylU+/bU/ivtHHcbWHfs2hW33IMsOinakMeCaCTX8l88lr1TAYDGRkWkhLt/D4ndaBU36Tu8Hnf8Ccrbr3CWD8d3A2UWcMf7S3D59Ory6B000oI+MkCQmbSEnZjVLp6JxOble5wox8PJdv8nSEKCX50wu06HhFLxPSy1Sebd2VTM8RxzFbID0TFv4FS3fDgBbw5WBY9w+MWBxLk/rOjB0UwN4jaaSkKx5uVfQ9TUYY2EpnFO/eUB+rUseDexq4MKyPL3VrOBV9saiQsrNjOXlyCklJv6NzNzmj8zi9B7QEulPwY/gicBZ39xFlWldRPBUmeIqPj+fJJ5/k119/xWg00rdvXz788EPc3AqP3k+ePEnNmjULPbds2TIeeughgEL/l/fNN98wYMCAkqu8qHRy95bLn15AepnK3va9KcxZHM36P5LIzFLUDnXksX7+DO7tg5tr4XOXdh9KpceI44R46i1TejSCHDP8dEDPXVp/DLY9DYNug/cXRDFmoD8ZmXpIz7OwLcny8XSCjGz4YDN0uM2VlZ/VLdH2ivIjJyeRY8eGkZkZB9wDpAIH0KvnTMDfQBQwFMjdGcAC/IbR6Iq3d8+yr7S4bhUmeBo0aBAXLlxg/fr1ZGdnM2zYMEaNGsWSJUsKLR8aGsqFCxesjn322We888479Oxp/UO5YMECevTokffay8urxOsvbm6F9jKduJxeAOllKlNKKV7+4Dxvzo2ktj+Mag0eTvBnRDrjpp3mg4WRrFtQj+pVrFMBmM2Kh8aH0yhAsXE8eOQLhiYF6Ung7d+HR7+CN+6DxR9k8fehNGqF6lnf2yOg7lVWuW+P0Akwd52GdVNDSqPpopyIjPyCzMxIoA/wC5ABNAFCgHRgP3Aa+A7oB5wDtgLHqV79bUwml0LvK8qHChE8HT16lDVr1rBr1y5atdL94rNnz+aee+5h1qxZhIQU/CVkMpkICrLevuDHH3+kX79+BXqrvLy8CpQV4npJL1P58+nSWN6cG8lbvXXvUUomLNwB4THgZA8nz2bR7P4j/PS/2nRsc3l58srNiUScy+a7F6wDp1zBnvD2A9D3C0jL0sfiLubQuqkrd7dz58MtyQxspfM1XemfSFhxCEwmWDyrJp3bSlqTm5XFkklMzA9AU+BXwBUYDeTf4bk98AewAZgBZGFvH0K1au/j5dWlrKssiqlCBE/bt2/Hy8srL3AC6Nq1K0ajkR07dvDggw9e8x67d+9m3759zJkzp8C5sWPH8thjj1GrVi0ef/xxhg0bJpM2RQG5vUv5J30DvO++iL4nVkovUzlhNitmzL3AI7fBUx1h8S547ic9KfvB5jDsdkhMhy93Wuj06HEmjw7ijWdCMBgM/LopkVtCip70DToLuJczLNujX/v76F+jr4wNodOjx3hkEXzS33oblr1noPdn4O9tYvuyhtSqJskvb2YZGSexWJLQH7EpwHCsAyfQ2cPvBM5hMkVSo8b7eHregcFQ+HCyKF8qRPAUGRlJQIB1X7idnR0+Pj5ERkZe1z3mzZtHw4YNadeundXxadOm0blzZ1xcXFi3bh1PPPEEKSkpjB8/vsh7ZWZmkpmZmfc6KSmpGK0RFVHuFil9T6yEmCtOxkgvU3myZWcypyOzca4F1aZAdMrlc7tOQYc6erXbKz3hvY3w/KeRVA9xYPQAf1LTzfhfbREUehsVbxf4KwLqVnOgxS16eOXOVm4s+7AWgyZE8MvLit5NLuV5OgfbwqBRbUd+/6Ie1UKK2vRV3DxyM6SGA/UA76uUbY3ZvAh7ey8JnCoQmwZPkyZN4q233rpqmaNHj/7nr5Oens6SJUuYMmVKgXP5j916662kpqbyzjvvXDV4mjFjBq+99tp/rpcovwpNKyBBUoVw6nwWBmD+dmhfG+7xBX83qOMP28Lhye90Fu8P+sJzXWHvWXjrsws89pAfoUEObNgCWTngUMRvx5hkOJsA2Wb45NUgjPnSwT94tzcnN7kxb3ksv/yWwJHzZqoGO/LtWF8evNsbe3vp0a4MHB2rYjA4olQScK1FAbpjIDv7yv+VifLMpsHThAkTGDp06FXL1KpVi6CgIKKjo62O5+TkEB8ff11zlZYvX05aWhqPPvroNcu2adOG6dOnk5mZiaNj4V3rkydP5tlnn817nZSURGioZAS+WVj1Ml0iaQXKH7NZsXlnMifPZuHibKTz7e4E+tmzfV8KCj3v6PcTcCYBkjIgJgVurQov94DX10CPhtDzFhh3Fyx5L5vfd6cwtI8vb38RxTd/w5DbC/+6c38HswVG/J8vowcUTHYY4GvP5NHBTB4dXKrtF+WP2ZxCXNyvJCRswWRyJycnDjiPXkVnLOIqPXJhMl05rCfKM5sGT/7+/vj7+1+zXNu2bUlISGD37t20bNkSgI0bN2KxWGjTps01r583bx7333//dX2tffv24e3tXWTgBODo6HjV86JikV6mimfB97FM+/g8J89n5x2zt4P+Pb35ZWMCBuCZzvBkBz3J22LRuZle+EknqbwlCD7eqoOnplX09eeisunQ2p3/6+7FuOUJBHtCt4aXv6ZSsORvveFvr04efP66JLQUlyUm/sGJE89hsaQBtdCr6gBOAPOAh9ETx6+0F5PJG1fX5mVTUVEiKsScp4YNG9KjRw9GjhzJ3Llzyc7OZty4cQwYMCBvpd25c+fo0qULX375Ja1bt867NiwsjK1bt7Jq1aoC9/3111+Jiori9ttvx8nJifXr1/Pmm2/y3HPPlVnbhG3kn/z9fr495UB6mcq7GZ9e4MX3ztOuJrS6FXxcoKqXPvfhpoukpsOM+2Fit8vXGI06X9PtNeC2d8BggLVHdVAVeWnKorur7hlYOLMGD44Np/ucZFrXgJ4NIccCPx6AIxfgkft9WDCjhgROIk9q6gHCw59EqZrAvUDuSkoFRADLga+BEVh/7IYBuwkIGIXRKHPhKpIKETwBLF68mHHjxtGlS5e8JJkfffRR3vns7GyOHTtGWlqa1XXz58+natWqdOvW7cpbYm9vz5w5c3jmmWdQSlGnTh3ee+89Ro4cWertKc+OHk3P+3fDhtfI+lfBFJpWIAZ8DTVsWi9xfQ4eS+PF987j7gR/RkCDQL2x7qId+vyItvD1TgiLLfx6Lxd4oSuM/kZ/rOVYYMFf4OFqpFMbPWzi6mJi9Rd1WbEpkbnfRPPZrnSMRri9uRsfzfCn8+3uEjgJK+fOzbm0X10/rD9WDeheqEHA58AK4DYu53k6gofHHQQHV+7PnIrIoJRS1y4mriYpKQlPT0+aD0vE5FBxc7dYBU2p4Rx1ra3/XQEDqPxJK3O16LiRwZd6mZwMl+cfSC9T6buYmEN0XA4ebiaCA+wLnE9MNvP92oucjczC3c3EfZ08qVP98nYlSSlm5iyO5s1PLpCSrn9lBXvAuA56zlKWGT7crOcytasF+87Cudd1sHSlmGQImKzTDawcA3fPgVEDAnj/RZm3KLQYdZKgPdHc+u6Ra5bNzDzPoUPdgQeA5lcpuRA4Re5KPAeHqgQEDCQg4GEMhgrTj3HT2bixGp6eniQmJuLhcf2f3/LEKrn8ARPooCn/v3MDqIokd8L3lZ0D1+pl2vZ3MnMWx7Du90QyMhU1Qhxo1tCFU+czuRCdjZuLkfu6eDO6v1+BzNTiMqUUkTE5ZGZZiDibyUdfRvPLpkQsFn3+9mYujH80kAG9vDGb4eUPzjH7q2gysxR+7pCUDs/OOMu9HT34/PUamEzQefC/hJ3KYEALuK+Jvs/KwzB9DXzzN/w2HqbfC+6OMPFnfX7HSejeqGD97C6tBvd2hi6z4bamrrzxTJVS/76Im1Nm5qlL/6p+jZI1MJkSqVfvU4xGJxwdq2MwFDWJXJR3EjxVYrmBU/6AqSK6cmuU3AnfDleubiliLpNSihfePses+VH4ukKLqtAkBM4nZLJ8TSZO9jColR7imfNlJLPmRTLvjRoMfsC3yDoppcjJATu7wvdPvBazWbH29yS+/CmO81FZeLiZePBubwbe64OLc8n9wrVYFFt3pXD6Qhauznroyser6F8LSil27E/l06UxHPgnDaPRQNsWbowZ6E+dak58+m0Mc76O5p8InQfNZND7vU3tAR3qwoVEmP9XGg9PiODPvSlcTMxh6cqLTO4GT7TXk7vTs3QCyskrkrjr4X+oEmhPTHQGu1+ARvkWsPVprrOHd/oQBi2E9U/qCeIz18PFNMjMKbwNqw/rv5PMRiY/HsgLI4NwcpQPMXF9lLKQlPQnCQkbsVhSUerS/wrIusaV2RiNDri4NLxGOVERyLBdCagow3ZX62Uq8hrX2uV62M55xuWhuFzF2RpFKcXAZyNYvuYiZgsEeUB6ts5A3TJU92Y8/T1YFBx8UQdQ47+DRTth7by6dG1n/bz3/5PGR19Gs2x1PClpCg9XIwPv9WH8owE0qlPw+3jo33R+3ZRAcqqFqoH29OvpQ0aWhftGH2ffPxk0D9Urwy4kwaZ/wc/LxI9z6nBHy2tkcrwkJdVMVFwOLk5GgvztrAK5Bd/H8vr/znPi7OUVa04OBh7p7cOsiaF4ulsn7MvKsjBs8kmWrLhITT+4u77+fqw4DNFJULOKA6fOZ9G3OQxoqXuBtoXDZ3/onEjrxl3O3D13G4z5Vv978RB4+LaCdQ+P0ZO7L6bBt8OhX4vC2/jdHug3H/ZP1ivn+s+H5Xvh0EvQ8IpMJulZ0PodwM2JPT82krxLolBFDdulp4cRHv70pd4mf/TquTggGfAFRgJOV94OnapgNj4+7alZ843SrbwoFhm2E1d1M/UyFZpW4AYnfL/xSSTfrrrIqDt0L0bdAJ3DZ+1RePEXGLgQFj0CD3yuP5AfaQ2fPwz/RMP0OeetgqdFP8Yy/MVTuDtCyyr6g9vT2cJXa2NZ8EMsS96tRd/u3pjNiiUr4pn28XnCTmfh6gh+bnA+QQ9XuTobcDVZ+P0ZPX8nN945EQvDF5vp8di/7PiuYaHBWK5D/6bz9heRLFt9kcws/f+j5g2cGPdIIMP6+jLzs0heev88/VrA1/2gRSjEpsKXOxRvr4zj74OpbFncAA+3ywHUmFdP893qizzRHo5Gws8H9BBYh9o64/Znf2TxWDv9/cl1d0OdMqDHHLhvLoS/Cs4O8Hh7+PUQbA3TgVZhavvD43fCOxugW4Oin+EDzXQSzG936+BJKT1N97djUN1HTygH2H8WnvoewuMNbJ1dQwInUSyZmWc5dmwYZrMTetVcVfRPmhk4gt7DbhEFV9QB/AVcJCBgQBnWWJQm6XkqAeW55+lGg6b8c53KS89T7kq5/GkF4MbzMZ08m0ntroeY3A1ev6/g+aR0aPsuBHroX5FGgx4aAv1BPWABHF93C3WqO/HFshjGTD1NjkUvnXeyh/OJ+kN9+r2w+Tj8cADefKYKH30ZzenIbFwc9Ad9eja0qgYz74ftJ+HVldC9IawYczlwUgp2ntLbfMxcD82burF+Qb1ChwTX/Z7EA0+EEeCmeKgZhHrrnrPf/tXzhLrf6c6abclM7Qmv9irY7oPn4M4PYHi/y5Oow09nUufuQ9T2g/BYuKsOdKkPmdmwfB/8G62HOk/GwYU3wfWKKWFhMVD3NVjwCAy9lHzylwN6v7fjU3X278LsPg2t3oYdz0HrGkU/y5ZvwW3V4L2+EDQZ/PwdOHkuCw9naBoCCem6XVUC7Pjm/Vq0byUJCUXRCut5OnlyCnFxm9Ab/BayEoHTwHz0ZsA9AWcgGh047SEwcBhVqz5byHXClqTnSRTwX3ubbBU0Xdm7lOtkdD+MJ0ourcCn38bi5gSTC2axAMDDWWejfnghDL4Ndp+5fO62S3NDT53PIi7BzJhXT3NrqA6AOtXTQc/RSJi5Dh5fCu/1gT9OwHNvn+P+JvDdIzoYMFv0HJypq3QgseVpqBegh57WHNFJHP88AeOW6W1EHC+9Y3/bnkKD7oeY/Up1ut15+Q0fFZtNn3HHqeen1/TMyvdtbFoFxraHOVuTcXfSbbuSUjrvUZA7fPxVNJ9/G0PD2k74+9rhYIL4NNj2DNyZbx3B6/fB53/A498CCr7bezlAylXHXwdby/ZcPhd6abuvi9bZRazktjcju+gyWTlw+iL0bAQfbIKULNi3sB4GYMEPcZw4k0l9JyNT23twf2cv6XESxZaTk0R8/CqgPYUHTgDVgJrAIeAAYALMmEw+BAdPJCBgUNlUVpQJCZ5uIlfOaYKKN0znPGOjDpIK2+apGHOZrsefe5Lp2bBgL0l+fZrpv49GgXu+qQzxqfpvJwcDo6ecpGkIbHlKD0nlahgECwfr5fITf4ZnO8N7v8HyETobNoDJCPc20QFXhw9g5BL4+wVoXhU+2QZujnD3x3pbkVVjdI+UwaB7st5Ym8U9o47z48e1ua+zFwBffBdLZibsPwe9boE37oVafhARB5/+rrNqNw2Bk/EF22qxwOil8MWf0DgYXr0HnO0Vm8PSWbFVJ5p890HrwAl0fUbdqXufPtysg8bCVPOGI/nO/Xtpx6XAq3QCrf/nUiAaBXcVsUXYD/sgNkX39C34CyaPDqJWqH6o054KKfwiIYohM/M0SmUBda5Rsi4GwwWqVXsJiyUdB4dgPDzuwGgsmJ5DVGwSPFVwNzIJ/Jr3LMP0BLlDcblyh+TKYmsUs1nhcI3faXYm/eG976z10N6XOyHAx4TZoth/LINVY6wDp1wGA7zSQ0+aPnMRsi26Z8T7ineeq6Me3rvnEz0892AzmL0Zhn0NbWrAurHgmK+unerpTW/7fgEjXjzJma1NcXQwMu+7GHIsOsh5tsvl8o2CoVdj+HCTngAPsD0C2uf7LHhjLczbDvMH6d6h3BHBZ7voIa+7P4ZPfochbXQgdaUnO8J7G/XcrMKExUDApXnuSsGcbXo13oUkqOZTsHxSOszeCkF+dkxZmcMdtaDxFbHQofMwdpkOQpfuNTD9qWBeGnPt/S6FKJ7c3krLVUuBBYPBhJ/fA6VcH2FrEjxVUKU1Aby0E2NemVYgdyguL61AGW6N0qS+C7+uTSPHfDn3z5V+O6Y/6O1MMPzScNOfJ+DzP2HCCH92H07HxUH3CBXF1w061tUTlk1GcC1iF4buDXXv1tYwsDfqxI/hsfDVo9aBUy47E7z9ADSYbua71Rd5pLcvUXE53FbNOnDK76lO8O0enQMpPt9wWVqWDnye7gjD2ha8rkkV+GYYdP5If0/uLqS91X3Awwn8C+lJOnRer7z7Zqj+fr78q56/Va+GA73mZvHFQJ2/yXTpx+DgORi5FOIzjKz+vDZPvHaKlm9n0O/Wy3mefj2o2+LtYeKNJwIZ3d8fLw/5lSZKnpNTTYxGFyyWf4Cr5QQ7hqtrk7KqlrAh+U1TgZRGL1Pevcsgm3ihW6OUUS9TYUYP8Gfu0lgW7YAR7QqezzHDm+vAzqhXkEWnwNsbdI/JbU1deWlMMHMWR2MyUiAh55UcTHDqIvRuAg5FvOuMRj3HJ8cCa4/oFWweTnB7zaLvWz8QmlWFLbtS6NPNm7QMxfBCgp/8hrfVvU65e7oBrDikJ1WPvavo6zrWhVuCdZqGwoKn9CxIy4b6AdbHLyTCQ/MgwB3C46DhG3AsEt55oQrD+/rR/+lwHvw8heq+Oi1DVLKeKB4aZM+GhbVp1cSVbUsaMHdpDJ8siebrXXoCVK2q9rw5IYDHB/jj5lpE9CtECTCZXPD17U1MzM9AS8CrkFLHgDMEBEwo07oJ25DgqQIo7TQDJR04FbU1ii17mQrTvKELQx7wYcy38aRn633RcofeTsbBM9/D1uN64vXgL/Vxbw8j4wb789r4EJydjDSp50xyhh5qa1Oj8K+TlgVbwiAlE0bfWXR99p/Vc3eUgq3hUNMX7O2vHZi5OECOWZGSZgZ0rqqryZ1jNHWVnlvVpgacS9D3qV3EqjfQ9WgSoucWFWbpbp3P6Zvd4Gyv52v9fgK+3KF70bLNMG2NgQe6ejJvcGBerqp1C+qx62Aai36M41xUFg1rm5g0wYveXS5P7nZzNfHciCAmDA8kIUm308vDJHvMiTITHDyahIQtZGcvBLoCDdAfoenAHmATnp6d8PTsZMNairIiwVM5V1b5mUoqcMrdGiV/0koAoouXvLKsfP56DRzsDTz5XRyvrNLL3ZMz4a8IvVns9x/XoHqII2cuZOHqYuSOFm44O12e8HP3HR7UrGLP62uy+XlU4XOBPtmmk24CHL4A3QrptVFKr8zzcYG3f4OaVeyJis0mPQtOxxc+Jwj0SrW9Z6D3g054e9jh7Gjg4HnFA82KbvPB83rCelCwE7fPyqBNTXC20z1HCWmF7weX61yC7g27UkQsvLwSWjRyxt7JyOilekZ9sJ8dz43yZ8xAPzzd7XB0MBQIeAwGA62butK6qWvRXzhfWW9P+bUlyp69vS8NGiwiIuJFUlKWA84YDC4opf834efXh9DQSbLlSiUhv4XKsYqQ2LKkk1aWNXt7A5+9XoMXRgYxb3kc/57MwNfBwLBh7jx8rw+uLno4qMUthUcURqOBdyeH0vfJEzz6Fcy4//IS/OQM+N82nWzzga6eVA104PlvYjAadA+U06V5THEp8MpKWLpHv76vkwdfz6pFZpaFGh0P8s4Gxex+hdf/w01gVjC0jy/29gYevs+HT3+L4/mul++fX2a2DuYG3e/D59NrsGJzIvOXx3DidCYGQyZf7oTxHQv/WuExet5SkIdeudelvt4C5bs9MOd38PRyYMWndQkOsCcry0JWtsLVxSi9Q+Km4eAQRP3680lPP05CwibM5hTs7QPw8emBvb2frasnypAET+VIWaca+K/DdYWlFXCw8VDcjapT3YkZE25sc9gH7/Zm8ayajJ5yim/+ttC2lh622nESUrPg6aEBvP18VZTSPUxPL4lh+lpoX0sHH7/9q/M9dWnrzvuTQ2lSP/d5mJj+TBUmzDyLpzO80FXnngI9FPjxFpi2BiaNCiLQT0dKzwwNZPEv8fSfr1g8VA+d5UrNhEGLIDbNwLNDg7CzM/BAVy8e6OoFwKAJJ3ht9UU61yu4qi01E0YsAV9PE61udeWJZUl5G/26OhsY3NuX18aHEOCr6+HgYMShiInxQlR0zs51cXYuIneGqBQkw3gJKIkM47boZbrefeucZxRMWAmXepnK4VCcrSSnmPn6l3h+351Cdo6iUR0nRvyfH6HB1lHE8ZMZfL4slkP/pmNnZ+COFm4M/z9f/H0KdhUppXhzbiRTZ5/H2R661NPDn5uO66HAZ4cF8vbzVTDmS7m+aksiD40Px96oeKQV1PLVeZ6+/hsyzQaWfViLezt5FfhaFxNz6DT4GCdOZfBYW72XnIuD3lPv420QmWJgzRf1uKOlG+eisjh2IgM7OwPNG7pYbeMiREVX1N524uZzoxnGJXgqATcSPJWHhJbXCp5yh+Ryg6QrOVAxe5kqorORWXy+LJadB1JRStG8oQuj+vvnJYO80qlzmcxdGss3v8YRm5CDn5cd/Xv5MGagPzWqFp0VNCnFzJtzL/DFsljiEvXEbDsT9O3uzctjgmlcr3xs1SNEaZLgqfKQ4MmGihs8lYe5TEUN2TnP2Mhg90V5rx8MX4lTBR2KEzcuI9PCkbAMsnMUtUIdCu0VE+JmJcFT5SF721UQ5SVwynjcEScnI0fzHc/rZYopP+kEhG04ORqLnCQvhBCVnQRPpaw0E1sWV27Q1K7HZga7LyqQP+iBMOllEkIIIa5FgqdSVB56meBy0ATwyUPD9FBcTCG5SCRwEkIIIa5JgqdSUF6CJoC9Exrxv4eGYUBniJbeJSGEEOK/keCphJWnwMlxbTSRsR2ttkRxryDJK4UQQojySoKnEnTsWDoGO3ubB05HXWvz3m+P0yfcthvvCiGEEDcjCZ5KUP20CEwmN5vWIXeYro+kGBBCCCFKhQRPN5HcYTrCwV+G54QQQohSIds/3wSOutbGcW00P8XqTOASOAkhhBClR4KnCm7vhEa899vj/BTbDyeDUeY3CSGEEKVMhu0qsL0TGhHZIkCG6YQQQogyJMFTCcjdHtBsTi2zr7l/XAPC6vmRmgo+VCcJc5l9bSGEuJklKwsqLQmzOcXWVRGlLCkpCbj8OX69ZGPgEnD27FlCQ0NtXQ0hhBBC3IAzZ85QtWrV6y4vwVMJsFgsnD9/Hnd3dwxXbhhXhKSkJEJDQzlz5kyxdnKuiKStN6fK0tbK0k6Qtt6spK1FU0qRnJxMSEgIRuP1TwOXYbsSYDQaixWx5ufh4XHT/zDnkrbenCpLWytLO0HaerOSthbO09Oz2PeX1XZCCCGEEMUgwZMQQgghRDFI8GQjjo6OTJ06FUdHR1tXpdRJW29OlaWtlaWdIG29WUlbS55MGBdCCCGEKAbpeRJCCCGEKAYJnoQQQgghikGCJyGEEEKIYpDgSQghhBCiGCR4KiVvvPEG7dq1w8XFBS8vr+u6RinFK6+8QnBwMM7OznTt2pXjx49blYmPj2fQoEF4eHjg5eXFiBEjSEmx7f5Lxa3TyZMnMRgMhf757rvv8soVdn7p0qVl0aQi3cj3v2PHjgXa8fjjj1uVOX36NL169cLFxYWAgACef/55cnJySrMp11TctsbHx/Pkk09Sv359nJ2dqVatGuPHjycxMdGqXHl4rnPmzKFGjRo4OTnRpk0bdu7cedXy3333HQ0aNMDJyYkmTZqwatUqq/PX8961leK09fPPP6d9+/Z4e3vj7e1N165dC5QfOnRogefXo0eP0m7GdSlOWxcuXFigHU5OTlZlbpbnWtjvIIPBQK9evfLKlMfnunXrVu677z5CQkIwGAz89NNP17xm8+bNtGjRAkdHR+rUqcPChQsLlCnu+79QSpSKV155Rb333nvq2WefVZ6entd1zcyZM5Wnp6f66aef1P79+9X999+vatasqdLT0/PK9OjRQzVr1kz99ddfatu2bapOnTpq4MCBpdSK61PcOuXk5KgLFy5Y/XnttdeUm5ubSk5OzisHqAULFliVy/+9sIUb+f536NBBjRw50qodiYmJeedzcnJU48aNVdeuXdXevXvVqlWrlJ+fn5o8eXJpN+eqitvWgwcPqj59+qhffvlFhYWFqd9++03VrVtX9e3b16qcrZ/r0qVLlYODg5o/f746fPiwGjlypPLy8lJRUVGFlv/jjz+UyWRSb7/9tjpy5Ih6+eWXlb29vTp48GBemet579pCcdv68MMPqzlz5qi9e/eqo0ePqqFDhypPT0919uzZvDJDhgxRPXr0sHp+8fHxZdWkIhW3rQsWLFAeHh5W7YiMjLQqc7M817i4OKt2Hjp0SJlMJrVgwYK8MuXxua5atUq99NJL6ocfflCA+vHHH69a/sSJE8rFxUU9++yz6siRI2r27NnKZDKpNWvW5JUp7veuKBI8lbIFCxZcV/BksVhUUFCQeuedd/KOJSQkKEdHR/XNN98opZQ6cuSIAtSuXbvyyqxevVoZDAZ17ty5Eq/79SipOjVv3lwNHz7c6tj1vFnK0o22tUOHDuqpp54q8vyqVauU0Wi0+sX9ySefKA8PD5WZmVkidS+uknquy5YtUw4ODio7OzvvmK2fa+vWrdXYsWPzXpvNZhUSEqJmzJhRaPl+/fqpXr16WR1r06aNGj16tFLq+t67tlLctl4pJydHubu7q0WLFuUdGzJkiOrdu3dJV/U/K25br/W7+WZ+ru+//75yd3dXKSkpecfK63PNdT2/N1544QV1yy23WB3r37+/6t69e97r//q9yyXDduVEREQEkZGRdO3aNe+Yp6cnbdq0Yfv27QBs374dLy8vWrVqlVema9euGI1GduzYUeZ1Lqk67d69m3379jFixIgC58aOHYufnx+tW7dm/vz5KBumJfsvbV28eDF+fn40btyYyZMnk5aWZnXfJk2aEBgYmHese/fuJCUlcfjw4ZJvyHUoqZ+1xMREPDw8sLOz3kbTVs81KyuL3bt3W73PjEYjXbt2zXufXWn79u1W5UE/n9zy1/PetYUbaeuV0tLSyM7OxsfHx+r45s2bCQgIoH79+owZM4a4uLgSrXtx3WhbU1JSqF69OqGhofTu3dvq/XYzP9d58+YxYMAAXF1drY6Xt+daXNd6r5bE9y6XbAxcTkRGRgJYfYDmvs49FxkZSUBAgNV5Ozs7fHx88sqUtZKo07x582jYsCHt2rWzOj5t2jQ6d+6Mi4sL69at44knniAlJYXx48eXWP2L40bb+vDDD1O9enVCQkI4cOAAEydO5NixY/zwww959y3sueees4WSeK6xsbFMnz6dUaNGWR235XONjY3FbDYX+v3+559/Cr2mqOeT/32Ze6yoMrZwI2290sSJEwkJCbH6sOnRowd9+vShZs2ahIeH8+KLL9KzZ0+2b9+OyWQq0TZcrxtpa/369Zk/fz5NmzYlMTGRWbNm0a5dOw4fPkzVqlVv2ue6c+dODh06xLx586yOl8fnWlxFvVeTkpJIT0/n4sWL//k9kUuCp2KYNGkSb7311lXLHD16lAYNGpRRjUrP9bb1v0pPT2fJkiVMmTKlwLn8x2699VZSU1N55513SvxDtrTbmj94aNKkCcHBwXTp0oXw8HBq1659w/e9EWX1XJOSkujVqxeNGjXi1VdftTpXVs9V/DczZ85k6dKlbN682Woi9YABA/L+3aRJE5o2bUrt2rXZvHkzXbp0sUVVb0jbtm1p27Zt3ut27drRsGFDPv30U6ZPn27DmpWuefPm0aRJE1q3bm11/GZ5rmVFgqdimDBhAkOHDr1qmVq1at3QvYOCggCIiooiODg473hUVBTNmzfPKxMdHW11XU5ODvHx8XnXl5Trbet/rdPy5ctJS0vj0UcfvWbZNm3aMH36dDIzM0t036KyamuuNm3aABAWFkbt2rUJCgoqsNojKioKoEI+1+TkZHr06IG7uzs//vgj9vb2Vy1fWs+1MH5+fphMprzvb66oqKgi2xUUFHTV8tfz3rWFG2lrrlmzZjFz5kw2bNhA06ZNr1q2Vq1a+Pn5ERYWZrMP2f/S1lz29vbceuuthIWFATfnc01NTWXp0qVMmzbtml+nPDzX4irqverh4YGzszMmk+k//5zkKdYMKVFsxZ0wPmvWrLxjiYmJhU4Y//vvv/PKrF27tlxMGL/ROnXo0KHAaqyivP7668rb2/uG6/pfldT3//fff1eA2r9/v1Lq8oTx/Ks9Pv30U+Xh4aEyMjJKrgHFcKNtTUxMVLfffrvq0KGDSk1Nva6vVdbPtXXr1mrcuHF5r81ms6pSpcpVJ4zfe++9Vsfatm1bYML41d67tlLctiql1FtvvaU8PDzU9u3br+trnDlzRhkMBvXzzz//5/r+FzfS1vxycnJU/fr11TPPPKOUuvmeq1L688jR0VHFxsZe82uUl+eai+ucMN64cWOrYwMHDiwwYfy//Jzk1adYpcV1O3XqlNq7d2/eEvy9e/eqvXv3Wi3Fr1+/vvrhhx/yXs+cOVN5eXmpn3/+WR04cED17t270FQFt956q9qxY4f6/fffVd26dctFqoKr1ens2bOqfv36aseOHVbXHT9+XBkMBrV69eoC9/zll1/U559/rg4ePKiOHz+u/ve//ykXFxf1yiuvlHp7rqa4bQ0LC1PTpk1Tf//9t4qIiFA///yzqlWrlrrrrrvyrslNVdCtWze1b98+tWbNGuXv718uUhUUp62JiYmqTZs2qkmTJiosLMxqyXNOTo5Sqnw816VLlypHR0e1cOFCdeTIETVq1Cjl5eWVt9px8ODBatKkSXnl//jjD2VnZ6dmzZqljh49qqZOnVpoqoJrvXdtobhtnTlzpnJwcFDLly+3en65v7eSk5PVc889p7Zv364iIiLUhg0bVIsWLVTdunVtFujnKm5bX3vtNbV27VoVHh6udu/erQYMGKCcnJzU4cOH88rcLM8115133qn69+9f4Hh5fa7Jycl5n52Aeu+999TevXvVqVOnlFJKTZo0SQ0ePDivfG6qgueff14dPXpUzZkzp9BUBVf73l0vCZ5KyZAhQxRQ4M+mTZvyynAp300ui8WipkyZogIDA5Wjo6Pq0qWLOnbsmNV94+Li1MCBA5Wbm5vy8PBQw4YNswrIbOFadYqIiCjQdqWUmjx5sgoNDVVms7nAPVevXq2aN2+u3NzclKurq2rWrJmaO3duoWXLUnHbevr0aXXXXXcpHx8f5ejoqOrUqaOef/55qzxPSil18uRJ1bNnT+Xs7Kz8/PzUhAkTrJb320Jx27pp06ZCf+YBFRERoZQqP8919uzZqlq1asrBwUG1bt1a/fXXX3nnOnTooIYMGWJVftmyZapevXrKwcFB3XLLLWrlypVW56/nvWsrxWlr9erVC31+U6dOVUoplZaWprp166b8/f2Vvb29ql69uho5cmSxP3hKS3Ha+vTTT+eVDQwMVPfcc4/as2eP1f1ulueqlFL//POPAtS6desK3Ku8Pteifqfktm3IkCGqQ4cOBa5p3ry5cnBwULVq1bL6jM11te/d9TIoZcO130IIIYQQFYzkeRJCCCGEKAYJnoQQQgghikGCJyGEEEKIYpDgSQghhBCiGCR4EkIIIYQoBgmehBBCCCGKQYInIYQQQohikOBJCCGEEKIYJHgSQlRqZrOZdu3a0adPH6vjiYmJhIaG8tJLLwEwfvx4WrZsiaOjo003hhVC2J4ET0KISs1kMrFw4ULWrFnD4sWL844/+eST+Pj4MHXq1Lxjw4cPp3///raophCiHLGzdQWEEMLW6tWrx8yZM3nyySfp3LkzO3fuZOnSpezatQsHBwcAPvroIwBiYmI4cOCALasrhLAxCZ6EEALd0/Tjjz8yePBgDh48yCuvvEKzZs1sXS0hRDkkwZMQQgAGg4FPPvmEhg0b0qRJEyZNmmTrKgkhyimZ8ySEEJfMnz8fFxcXIiIiOHv2rK2rI4QopyR4EkII4M8//+T9999nxYoVtG7dmhEjRqCUsnW1hBDlkARPQohKLy0tjaFDhzJmzBg6derEvHnz2LlzJ3PnzrV11YQQ5ZAET0KISm/y5MkopZg5cyYANWrUYNasWbzwwgucPHkSgLCwMPbt20dkZCTp6ens27ePffv2kZWVZcOaCyFswaCkX1oIUYlt2bKFLl26sHnzZu68806rc927dycnJ4cNGzbQqVMntmzZUuD6iIgIatSoUUa1FUKUBxI8CSGEEEIUgwzbCSGEEEIUgwRPQgghhBDFIMGTEEIIIUQxSPAkhBBCCFEMEjwJIYQQQhSDBE9CCCGEEMUgwZMQQgghRDFI8CSEEEIIUQwSPAkhhBBCFIMET0IIIYQQxSDBkxBCCCFEMUjwJIQQQghRDP8PIV/vMu1qWWsAAAAASUVORK5CYII=", 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" ] @@ -437,7 +470,8 @@ " plt.show()\n", "\n", "# Plotting the decision boundaries\n", - "plot_decision_boundary(model, X, y)" + "from functools import partial\n", + "plot_decision_boundary(partial(stateless_model,p), X, y)" ] }, { diff --git a/docs/notebooks/colabs/09_hessian_spectrum.ipynb b/docs/notebooks/colabs/09_hessian_spectrum.ipynb index 31d831fa..c5dbaccd 100644 --- a/docs/notebooks/colabs/09_hessian_spectrum.ipynb +++ b/docs/notebooks/colabs/09_hessian_spectrum.ipynb @@ -33,7 +33,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -198,7 +198,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -217,18 +217,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now we will use Lanczos to compute an approximation to the Hessian eigenvalues. Setting the maximum iterations to $30$ in order for the computation to only take ~15 minutes, but with more time we can get more eigenvalues." + "Now we will use Lanczos to compute the largest 10 eigenvalues. Setting the maximum iterations to $30$ in order for the computation to only take ~15 minutes, but with more time we can get more eigenvalues." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "92483e6f20e24e029f64eca4d76558ee", + "model_id": "ec7c068136e447a29d8a3cb697f12c07", "version_major": 2, "version_minor": 0 }, @@ -241,24 +248,24 @@ } ], "source": [ - "eigs, eigvecs = cola.eig(H, max_iters=30, tol=1e-5, pbar=True)" + "eigs, eigvecs = cola.eig(H, 10, which='LM',alg=cola.Lanczos(max_iters=30, tol=1e-3, pbar=True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In this case we have computed the ritz values, which are good approximations for the eigenvalues for the largest and smallest magnitude eigenvalues. We can see the spectrum below." + "We can see the spectrum below." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -269,7 +276,7 @@ ], "source": [ "import matplotlib.pyplot as plt\n", - "plt.plot(eigs.cpu().data.numpy()/200)\n", + "plt.plot(eigs.cpu().data.numpy())\n", "plt.yscale('log')\n", "plt.ylabel('eigenvalues')\n", "plt.xlabel('index')\n", diff --git a/docs/notebooks/colabs/10_vmap_jit_grad.ipynb b/docs/notebooks/colabs/10_vmap_jit_grad.ipynb index 7d523830..4f33d856 100644 --- a/docs/notebooks/colabs/10_vmap_jit_grad.ipynb +++ b/docs/notebooks/colabs/10_vmap_jit_grad.ipynb @@ -33,13 +33,6 @@ "This means that we can vmap over them, jit functions with them, as well as other operations." ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -66,20 +59,28 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:jax._src.xla_bridge:CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], "source": [ "from jax import jit\n", "import numpy as np\n", "import jax.numpy as jnp\n", - "import jax.config as config\n", "# set cpu\n", - "config.update(\"jax_platform_name\", \"cpu\")\n", + "import jax\n", + "jax.config.update('jax_platform_name', 'cpu')\n", "import cola\n", "\n", "# construct a linear operator\n", "A = jnp.array(np.random.randn(2, 2))\n", "B = cola.SelfAdjoint(cola.lazify(A.T@A+ 1e-4*jnp.eye(2)))\n", - "D = cola.SelfAdjoint(cola.diag(jnp.array([3.,0.2, 1.])))\n", + "D = cola.SelfAdjoint(cola.ops.Diagonal(jnp.array([3.,0.2, 1.])))\n", "K = cola.kron(B,D)" ] }, @@ -92,30 +93,22 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/marc_f/anaconda3/envs/cola/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpeptest.py:311: BeartypeDecorHintPep585DeprecationWarning: PEP 484 type hint typing.Callable deprecated by PEP 585. This hint is scheduled for removal in the first Python version released after October 5th, 2025. To resolve this, import this hint from \"beartype.typing\" rather than \"typing\". For further commentary and alternatives, see also:\n", - " https://beartype.readthedocs.io/en/latest/api_roar/#pep-585-deprecations\n", - " warn(\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "error: 3.7252903e-09\n" + "error: 6.3414245e-07\n" ] } ], "source": [ + "from cola import Auto\n", "v = jnp.array(np.random.randn(6))\n", - "K_half_v = cola.sqrt(K, tol=1e-4)@v\n", - "Kv = cola.sqrt(K, tol=1e-4)@K_half_v\n", + "K_half_v = cola.sqrt(K)@v\n", + "Kv = cola.sqrt(K)@K_half_v\n", "print(\"error:\",jnp.linalg.norm(Kv - K@v))" ] }, @@ -128,34 +121,29 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[ 0.01154765 -0.10519305 0.08695581 0.12265506 0.49678737 -0.61266834]\n", - "[ 0.01154772 -0.10519368 0.08695581 0.12265505 0.49678725 -0.61266834]\n" + "[ 0.13759953+0.j -0.94336665+0.j 0.3768798 +0.j -0.16725242+0.j\n", + " -0.26825097+0.j 0.15196525+0.j]\n", + "[ 0.13759911+0.j -0.94336635+0.j 0.3768798 +0.j -0.16725181+0.j\n", + " -0.26825133+0.j 0.15196525+0.j]\n" ] } ], "source": [ "@jit\n", "def sqrt_mvm(K, v):\n", - " return cola.sqrt(K, tol=1e-4)@v\n", + " return cola.sqrt(K, Auto(tol=1e-4))@v\n", "\n", "print(sqrt_mvm(K,v))\n", "print(sqrt_mvm(4*K,v)/2)" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -172,23 +160,23 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([[1.8414, 0.6225, 0.8826, 0.0000, 0.0000],\n", - " [0.6225, 2.4913, 1.5865, 0.0000, 0.0000],\n", - " [0.8826, 1.5865, 3.7751, 0.0000, 0.0000],\n", - " [0.0000, 0.0000, 0.0000, 1.8414, 0.6225],\n", - " [0.0000, 0.0000, 0.0000, 0.6225, 2.4913]])\n", - "tensor([[1.8414, 0.0000, 0.0000, 0.0000, 0.0000],\n", - " [0.0000, 2.4913, 0.0000, 0.0000, 0.0000],\n", - " [0.0000, 0.0000, 3.7751, 0.0000, 0.0000],\n", - " [0.0000, 0.0000, 0.0000, 1.8414, 0.0000],\n", - " [0.0000, 0.0000, 0.0000, 0.0000, 2.4913]])\n" + "tensor([[4.3080, 2.7321, 1.8498, 0.0000, 0.0000],\n", + " [2.7321, 5.7340, 3.7580, 0.0000, 0.0000],\n", + " [1.8498, 3.7580, 6.7027, 0.0000, 0.0000],\n", + " [0.0000, 0.0000, 0.0000, 4.3080, 2.7321],\n", + " [0.0000, 0.0000, 0.0000, 2.7321, 5.7340]])\n", + "tensor([[4.3080, 0.0000, 0.0000, 0.0000, 0.0000],\n", + " [0.0000, 5.7340, 0.0000, 0.0000, 0.0000],\n", + " [0.0000, 0.0000, 6.7027, 0.0000, 0.0000],\n", + " [0.0000, 0.0000, 0.0000, 4.3080, 0.0000],\n", + " [0.0000, 0.0000, 0.0000, 0.0000, 5.7340]])\n" ] } ], @@ -201,10 +189,10 @@ " X = cola.lazify(X)\n", " Y = X@X.T\n", " Y = cola.PSD(Y+cola.ops.I_like(Y))\n", - " D = cola.PSD(cola.diag(torch.linspace(0.1,1,2)))\n", + " D = cola.PSD(cola.ops.Diagonal(torch.linspace(0.1,1,2)))\n", " W = cola.ops.BlockDiag(Y,D, multiplicities=[2, 1])\n", " diag_W = cola.diag(W)\n", - " return W, cola.PSD(cola.diag(diag_W))\n", + " return W, cola.PSD(cola.ops.Diagonal(diag_W))\n", "\n", "W,diag_W = construct_complicated_linops(torch.randn(3,3))\n", "print(W[:5,:5].to_dense())\n", @@ -220,13 +208,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "def perform_operations(W,D,v):\n", " P = cola.pow(D, -0.5) # D^{-1/2}\n", - " y = P@cola.inv(P@W@P,tol=1e-4)@P@v\n", + " y = P@cola.inv(P@W@P,Auto(tol=1e-4))@P@v\n", " return y " ] }, @@ -241,7 +229,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -258,14 +246,14 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(12, 12) \n", + "(12, 12) \n", "(12, 12) \n" ] } @@ -284,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -293,7 +281,7 @@ "torch.Size([3, 12])" ] }, - "execution_count": 26, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -311,7 +299,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -338,7 +326,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -358,23 +346,6 @@ "except RuntimeError as e:\n", " print(\"raised exception:\", e)" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Gradients and PyTrees (jax example)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] } ], "metadata": { diff --git a/docs/notebooks/colabs/Adding_Linear_Operators.ipynb b/docs/notebooks/colabs/Adding_Linear_Operators.ipynb index 250116af..3fdd8b3c 100644 --- a/docs/notebooks/colabs/Adding_Linear_Operators.ipynb +++ b/docs/notebooks/colabs/Adding_Linear_Operators.ipynb @@ -25,8 +25,8 @@ "source": [ "# Implementing new Linear Operators and Dispatch Rules\n", "\n", - "Implementing new linear operators in CoLA requires specifying its `shape`, `dtype`, and `matmat` functions.\n", - "For doing so (like with scipy LinearOperator), there are two ways of doing so." + "Implementing new linear operators in CoLA requires specifying a `shape`, `dtype`, and `matmat` functions.\n", + "Llike with scipy LinearOperator, there are two ways of doing so." ] }, { @@ -111,13 +111,6 @@ "id": "384a1883", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:jax._src.xla_bridge:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -151,7 +144,7 @@ "id": "85a0bb6f", "metadata": {}, "source": [ - "Implementing new dispatch rules for existing functions is easy, simply import that function `fn` into the namespace and use the `@fn.dispatch` decorator with the types that you want to dispatch on.\n", + "Implementing new dispatch rules for existing functions is easy, simply wrap the new function with a `cola.dispatch` decorator and define the functionality for a given `LinearOperator` and a given `Algorithm`. If you don't have a specific algorithm to use (as below) simply ensure that `alg: Algorithm` is part of the function's signature.\n", "\n", "Here we will extend inverse for the `MyDiagonal` object." ] @@ -173,14 +166,16 @@ } ], "source": [ - "from cola import inv\n", + "from cola.linalg import inv\n", + "from cola.linalg.algorithm_base import Algorithm\n", "\n", - "@inv.dispatch\n", - "def inv(A: MyDiagonal, **kwargs):\n", + "@cola.dispatch\n", + "def inv(A: MyDiagonal, alg: Algorithm):\n", " print(\"Called my inverse\")\n", - " return MyDiagonal(1/A.diag)\n", + " return MyDiagonal(1 / A.diag)\n", + "\n", "\n", - "A = MyDiagonal(torch.arange(1,500000))\n", + "A = MyDiagonal(torch.arange(1, 500000))\n", "invA = inv(A)\n", "print(invA)" ] @@ -204,20 +199,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "I overrided dense inverse\n", + "I overrided the dense inverse\n", "tensor([[-2.0000, 1.0000],\n", " [ 1.5000, -0.5000]])\n" ] } ], "source": [ - "@inv.dispatch\n", - "def inv(A: cola.ops.Dense):\n", - " print(\"I overrided dense inverse\")\n", + "@cola.dispatch\n", + "def inv(A: cola.ops.Dense, alg: Algorithm):\n", + " print(\"I overrided the dense inverse\")\n", " return cola.ops.Dense(torch.linalg.inv(A.to_dense()))\n", "\n", - "A = cola.ops.Dense(torch.arange(1,5).reshape(2,2).float())\n", - "print(inv(A).to_dense())" + "\n", + "A = cola.ops.Dense(torch.arange(1, 5).reshape(2, 2).float())\n", + "invA = inv(A)\n", + "print(invA.to_dense())" ] }, { @@ -250,16 +247,17 @@ "@cola.dispatch\n", "def rowsum(A: cola.ops.LinearOperator):\n", " print(\"dispatched base case\")\n", - " return A @ A.xnp.ones(A.shape[:1],dtype=A.dtype, device=A.device)\n", + " return A @ A.xnp.ones(A.shape[:1], dtype=A.dtype, device=A.device)\n", + "\n", "\n", "@cola.dispatch\n", "def rowsum(A: MyDiagonal):\n", " print(\"dispatched on MyDiagonal\")\n", " return A.diag\n", "\n", + "\n", "A = MyDiagonal(torch.arange(5))\n", - "print(rowsum(A))\n", - "\n" + "print(rowsum(A))" ] }, { @@ -278,7 +276,7 @@ } ], "source": [ - "print(rowsum(cola.ops.Dense(torch.arange(4).reshape(2,2))))" + "print(rowsum(cola.ops.Dense(torch.arange(4).reshape(2, 2))))" ] }, { diff --git a/docs/notebooks/colabs/Device_Allocation.ipynb b/docs/notebooks/colabs/Device_Allocation.ipynb index 28f26380..5038010e 100644 --- a/docs/notebooks/colabs/Device_Allocation.ipynb +++ b/docs/notebooks/colabs/Device_Allocation.ipynb @@ -96,7 +96,7 @@ "id": "d131a133-7f66-44fe-b21c-eae8ca0b283f", "metadata": {}, "source": [ - "Looking at the previous prints, we can see that $A$ was sucessfully placed on a GPU and that the MVM times reduced dramatically!" + "Looking at the previous prints, we can see that $A$ was successfully placed on a GPU and that the MVM times reduced dramatically!" ] }, { @@ -190,7 +190,7 @@ "id": "b2fe527b-f088-4cae-8dde-99c2d73b5290", "metadata": {}, "source": [ - "This UCI dataset is faily large, consisting of 386.5K observations and 90 features. We will now run a linear regression on this dataset using CPU." + "This UCI dataset is fairly large, consisting of 386.5K observations and 90 features. We will now run a linear regression on this dataset using CPU." ] }, { @@ -264,7 +264,7 @@ "id": "437eae88-9600-418a-88db-94e4cbcd70bc", "metadata": {}, "source": [ - "We selected `method=iterative` which uses CG as solver and therfore ensures that we are running the same algorithm but on different hardware." + "We selected `method=iterative` which uses CG as solver and therefore ensures that we are running the same algorithm but on different hardware." ] }, { diff --git a/docs/notebooks/colabs/Linalg_operations_walkthrough.ipynb b/docs/notebooks/colabs/Linalg_operations_walkthrough.ipynb index f7b96af7..71e88545 100644 --- a/docs/notebooks/colabs/Linalg_operations_walkthrough.ipynb +++ b/docs/notebooks/colabs/Linalg_operations_walkthrough.ipynb @@ -24,7 +24,7 @@ "source": [ "# Walkthrough of Linear Algebra Functionality\n", "\n", - "With this section we will explore how to use various linear algebra operations with an emphasis on the dense and iterative base cases, rather than the dispatch rules. For high level operations like `solve`, `sqrt`, `logdet`, `eigs`, `exp`, `trace` the specific functions we call are listed in [high-level API](https://cola.readthedocs.io/en/latest/package/cola.linalg.html), and low level iterative functions that help implement these operations such as `cg`, `gmres`, `lanczos`, `approx_diag`, `stochastic_lanczos_quadrature` are listed in [algorithms](https://cola.readthedocs.io/en/latest/package/cola.algorithms.html). These low level algorithms can also be called explicitly, but they will not be able to leverage our dispatch rules, and they sometimes require more involvement and knowledge from the user." + "With this section we will explore how to use various linear algebra operations with an emphasis on the dense and iterative base cases, rather than the dispatch rules. For high level operations like `solve`, `sqrt`, `logdet`, `eigs`, `exp`, `trace` the specific functions we call are listed in [high-level API](https://cola.readthedocs.io/en/latest/package/cola.linalg.html), and low level iterative functions that help implement these operations such as `cg`, `gmres`, `lanczos`, `approx_diag`, `stochastic_lanczos_quadrature`. These low level algorithms can also be called explicitly, but they will not be able to leverage our dispatch rules, and they sometimes require more involvement and knowledge from the user." ] }, { @@ -46,16 +46,16 @@ "import numpy as np\n", "import cola\n", "\n", - "N=2000\n", + "N = 200\n", "U = cola.lazify(torch.randn(N, 5))\n", "V = cola.lazify(torch.randn(N, 5))\n", - "D = cola.diag(torch.linspace(1, 100, N))\n", + "D = cola.ops.Diagonal(torch.linspace(1, 100, N))\n", "\n", - "A = U @ U.T + D # a PSD matrix\n", - "B = U @ V.T + D # a generic square matrix\n", - "C = V.T @ D # a generic rectangular matrix\n", + "A = U @ U.T + D # a PSD matrix\n", + "B = U @ V.T + D # a generic square matrix\n", + "C = V.T @ D # a generic rectangular matrix\n", "\n", - "x = torch.ones(N) # test vector x" + "x = torch.ones(N) # test vector x" ] }, { @@ -115,7 +115,7 @@ }, { "data": { - "image/png": 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/72qIiekXoMTIICWEByspsjO0dIaY//TIBAf4u7lFvUO3gs7cuXN13333acmSJbLZbCopKVFubq4efPBBPf7442d1rry8PF122WWOz+fNmyepc2bVSy+9pJkzZ6qiokJPPPGESktLNXr0aK1YseKEAcoAAHTXsenVh472vhyoatDBI523lw4eaVJJTZOqG9u6dK7Y0AAlHb2FlBgRfLT3JVAJ4cGOQBPUlxDTU7o1vdwYowULFujpp59WY2OjpM7ZTA8++KD+93//1+VFulNXp6cBALxXc1uHSqqbdPBIk+PWUvFxPTGlNc1q78L6MIF9/JQU2dkLkxQR7Pg4OTKkc1tkMCGmh3T1/fuc1tFpbW1VQUGB6uvrlZmZqdDQ0O6eyjIEHQDwfs1tHTp4pElFRxo7w0zV0f8eaVRxdVOXVur1s0lxYZ1jYVKjQ5QaHayE8CAlRwUrOTJEcWGBimRMjMdw+zo6Uudg4czMzHM5hWUYjAwA3qOxtb0zyBwXYEqqm1VS06SiqiZV1rec8RwhAf4aEBWsAVEhSo7s7I3pDDGdt5jiwgJ9cnp1b9etHp3LLrvstIn2448/PqeiehI9OgBgvQ670aGaJu0/3Kh9hxtUVNUZZoqO9s50Zc2YfgH+SokO0YCoEA2ICj76cbAj1DBDybe4tUdn9OjRTp+3tbVp8+bNys/P1+zZs7tzSgCAj6ttblNRVaOKqhp14Ohr/+H/9NC0dZz+393hQX0c4WVAVEjn+JiIIA2IClFKdLAiggkyOFG3gs5zzz130u1PPfWU6uvrz6kgAIB36rAblVR39srsr2ro/O/hzv8WH2lSXUv7ab++r79NKdEhSosOUWp0iKN3JiW6M9hEBPftoZbAl7j0oZ4FBQWaMGGCqqqqXHVKt+PWFQB0XUt7h4qqmhwBZv/hBu2vatSBw40q6kKvTEy/AKU4gkzw0UG//ZQSHazEiGD5+9Ejg67pkcHIX5ebm6ugoCBXnhIA0MPqW9qPCzL/6ZU5UNWokpomne6fxwH+fkqJDlZaTD+lxXT2zqTFdAaZpMhghQS49G0HOKNu/cTdeOONTp8bY3To0CHl5eWd9YKBVmHWFYDerLmtQ3srG7SnoqHzNlNlY+fnlfVnnIrdL8D/P0HG8d/OjxPCg+iVgUfp1q2rrz9+wc/PT/3799fll1+uK6+80mXF9QRuXQHwVe0ddh080nQ0wDSosKJeheX12n+4UaW1zaf92uh+AU49MseHmZh+AQz6heXceuvqxRdf7HZhAADXMcaooq5FeyobtPfoa09FvfZUNujA4cbTrvYbHtRHg+JClR7TT6nRIcro308DY/spPbafwoMY+AvfwM1SAPACja3t2lPRoB2ldSqsqNeeinrtrWxQ8ZEmNZzmQZJBff2UHtMZYAbG9tOQ+M5gkx7Tj1V+0St0OehERUV1+RfCm2ZdAYAnOVzfooLyehVWNKigvF4FR283FVc3nfJr/GxSSnSII8xk9A9VxtGPE8KD5MeYGfRiXQ46CxcudGMZANB72O1GxdVN2l1epz0VnWNnCso7X0dO84TsyJC+Oi8hTEPiwhy3mY4toBfYhwdJAifT5aDjayseM+sKgLvZ7UYlNU3aXV6v3WV12lXW+d/d5fVqPM3tpgFRwRocF6pB/UM1OO7oq3+oovoF9GD1gG845wUDm5ub1drqPBXRm2YvMesKwLkyxqi0tlm7yuq1q7ROu8s7Q82usrpTBpq+/jYN6t8ZZjL693MEm0H9QxUcQO8McCZunXXV0NCgRx55RK+//roOHz58wn56SQD4qqqGVu0srdOO0lrtLK3TrqM9NHXNJ3+8QV9/29FBwGEaGhemofGhGhIfpvSYEJ6UDfSAbgWdhx9+WKtWrdLzzz+vW265RTk5OSouLtbixYv1zDPPuLpGAOhxTa0dKqzo7JXZVVav7Ydqtb2kVpX1LSc93t+vM9AMjQ/VkLgwDYkP1XkJYUqL6ae+BBrAMt0KOu+++65efvllTZkyRXPmzNEll1yiwYMHKy0tTa+88opmzZrl6joBwC2MMTp4pEm7yur0ZXGNdpXVaXtJrfZXNZ7yUQep0SEaGh+m8xPDNCQ+TMPiwzQwtp8C+hBoAE/TraBTVVWljIwMSZ3jcY5NJ7/44ot11113ua46AHCh5rYO7Ty6Ds3WgzXafqhWX5XUnvKp2pEhfTU0vvN207CEcI1MjtCQuFD1C2QJMsBbdOu3NSMjQ3v37lVqaqrOO+88vf7665owYYLeffddRUZGurhEADh7Rxpatbu8XvnFNcovqdG24loVVNSr4yQrBff1tykjNlTDk8OVmRh+tLcmXLGhPOoA8HbdCjpz5szRli1bdOmll+rRRx/VjBkz9Pvf/15tbW169tlnXV0jAJxWVUOrth6sVn5xjb4qrdPmA9WnXGAvpl/A0fEz4coaEKHzE8M1qH8ot50AH3XO08slaf/+/dqwYYMGDx6srKwsV9Tldsevo7Nr1y6mlwNe4nB9i7aV1CpvX5XySzoHCJ/qAZVJEUHKTIrQyOQIjUgO14jkCMWFBdJLA/iArk4v71bQKSoqUkpKyjkV6ClYRwfwTMYYldQ0K7+4RttKarW9pEb5xacONekxIRqdEqlhCeEaNSBCWSmRCmUsDeCz3LqOTnp6ui6++GJ973vf03e+8x1FRUV1u1AAkKTa5jblH6zR1uIafXmwRhsPHNGhmpOHmoGx/ZQ1IEJj06KUmRiuYQlhCuNp2wBOols9Ops2bdLSpUv16quvqqKiQldddZW+973vacaMGQoMDHRHnW5Djw7Q8+qa27StpFbbSmr15cFqbT1Yoz2VDScc18fPpiHxYRqeFK4RSeEantw5poaeGgBuvXV1jDFGq1ev1tKlS/XWW2/Jbrfrxhtv1JIlS7p7yh5H0AHcyxijA1WNyi+u1bq9h/VZ4WEVVNSfdI2aAVHByhoQoawBkcpKjtCY1CgehwDgpHok6Bxv48aNuuOOO7R161avegQEQQdwrea2Dm0pqlbe/iPK21eljQeqVdN04hO5kyKCNDw5QlnJERp5NNxE89BKAF3k1jE6xxw8eFBLly7V0qVLlZ+fr0mTJiknJ+dcTgnAy1Q1tCpvX5Xy9h/R+n1Vyi+uUVuH87+fAvz9dF5imLIGROjiwf01Ni1K/cO86zY3AO/UraCzePFiLV26VJ9++qnOO+88zZo1S++8847S0tJcXR8AD2KM0f7DjVq/r0p5+45o/f4q7ak4cWxNXFigxqdHa1x6lMamRen8xHCe9wTAEt0KOvPnz9dNN92k3/72txo1apSrawLgIdo67I41a/L2HVHe/ipV1reecNzQ+FCNTYvW+PQojU+P1oCoYNaqAeARuhV0Dhw4wB8xwAfVNbdp44FqbdhXpfX7jmhzUbWa2pzH3AX4+ylrQITGpXcGm7FpUYoMYWwNAM/UraBjs9lUXV2tdevWqby8XHa73Wn/rbfe6pLi3On4lZGB3qqhpV3r9lVp7a5Kfb7nsHaU1urrj4KKCO6rcWlRjmAzIjlCQX2ZCQXAO3Rr1tW7776rWbNmqb6+XuHh4U69OzabzfE0c2/ArCv0Js1tHdq4/4g+Kzys3D2HtaWoWu1fSzYp0cEanxbtCDaD+ofKz48eXACexa2zrn70ox/p9ttv14IFCxQSEtLtIgG4V2u7XVsOVuuzgsPK3VOpjQeq1dru3AM7ICpYFw+O1UWDYzVhYLTiw4MsqhYAXK9bQae4uFg//OEPCTmAhzHGaGdZndbuqtSa3RVat7dKLV8LNvHhgbpwUKwmZcRo0qAYpUTzewzAd3Ur6EybNk15eXnKyMhwdT0AzlJlfYs+LajUv3dV6JPdlSqva3HaH9MvQN8YFKNJGTG6cFCMBsb2YzIBgF6jW0Hnmmuu0UMPPaTt27dr5MiR6tvX+WF61157rUuKA3CilvYObdh/RGt3V2rNrgptK6l12h/U10/fyIjRJUP665IhsRoSF0qwAdBrdWswsp/fqRf+stlsXjWTicHI8AZ7Kur1710VWru7c3ZUY6vz71hmYrguGRqryUM6Vx1mVhQAX+fWwchfn04OwLVa2+3K21+lNbs6b0l9dci51yY2NFCTh8TqkqGdg4jjwhhADAAnc07PupKk5uZmBQXxRxY4V1UNrVq7u0Ifbi/TxzvKnXpt/GzSpEExmjykvy4Z0l/nJ4ZxOwoAuqBbQaejo0MLFizQokWLVFZWpl27dikjI0OPP/640tPTdccdd7i6TsAnlVQ3afmXh7Qiv1QbDhzR8TeSj/XaTB7aXxcPiVVsKA/BBICz1a2g8/Of/1x//vOf9ctf/lJz5851bB8xYoQWLlxI0AFOocNutGH/Ea38qkz/3lWhHaV1TvvPSwjTpcP6a/qIRGUlR7BQHwCco24FnZdffll/+MMfdMUVV+gHP/iBY/uoUaO0Y8cOlxUH+IK2Drvy9h3R+/mH9H5+qSqOm/7tZ5MuSI3SjFFJ+mZmvJIigy2sFAB8T7cXDBw8ePAJ2+12u9ra2s65KMDbtXfY9fmeKr25oUgfbi9Tw3HjbcKC+uib58dr8tD+mjy0v6L78UBMAHCXbgWdzMxMrV27VmlpaU7b33zzTY0ZM8YlhbkbD/WEq7V12JVbeFjLvzykf20r1ZHG/4T+qJC+mnp+vK7OStRFg2IV0OfUSzQAAFynW0HniSee0OzZs1VcXCy73a63335bO3fu1Msvv6z33nvP1TW6RXZ2trKzsx3z8IHuaG2369PCSi3fekgfbC9TTZNzuPlmZry+lZWkiwfHMt4GACzQrQUDJWnt2rX62c9+pi1btqi+vl4XXHCBnnjiCV155ZWurtGtWDAQZ8tuN/qs8LCW5x/Se1tKVNvc7tgX0y9A00Yk6JqRiZo4MFp9/Om5AQB36Or7d7eDjq8g6KArjDHaVFStf27tnApeXN3k2Nc/LFBXDU/Q1SMTNWFgtPzpuQEAt3PryshAb1FW26w38or05oaD2ne40bE9LKiPrhqeoOvHJOsbGTGEGwDwUN0KOlFRUSddldVmsykoKEiDBw/Wbbfdpjlz5pxzgUBP67Abrd1doaVfHNDKHeXqsHd2eoYE+GvKsP66ZmSSpgzrr36B/DsBADxdtwcj//znP9f06dM1YcIESdK6deu0YsUKZWdna+/evbrrrrvU3t7utKAg4Mn2VNRr+ZeH9Ld1RU63psanR2nm+FRNH5FAuAEAL9Otv9qffPKJ5s+f77RYoCQtXrxYH3zwgd566y1lZWXpt7/9LUEHHq2xtV3vbC7Rq+uLtKWo2rE9IrivbrwgWTdNSNXQ+DDrCgQAnJNuDUYODQ3V5s2bT1g0sKCgQKNHj1Z9fb0KCwuVlZWlhoYGlxXrDgxG7n2OzZr6cHup3t5UrLqjs6b6+Nk0MSNa375ggK4emaigvv4WVwoAOBW3DkaOjo7Wu+++qwceeMBp+7vvvqvo6GhJUkNDg8LC+JcwPEdNY5uWbS7Wnz/bpz2V/wngaTEh+s4FAzRzfIriwoMsrBAA4GrdCjqPP/647rrrLq1atcoxRmf9+vVavny5Fi1aJEn68MMPdemll7quUqCb9lY26A9rCrUi/z+rFYcF9dE3M+N13ehkXcJifgDgs7q9js6nn36q3//+99q5c6ckadiwYbr33nt14YUXurRAd+PWlW+y240++qpMb2w4qI++KtOxn/K0mBDNmpiqWRPTGFgMAF6MBQO7iKDjW2qa2rRsU7Fe/HSv07o3lw7tr5smpOqy8/orsA9jbwDA27l8jE5tba3jRLW1tac9lsCAnlZc3aQln+zVq+sOOJ4UHh7URzPHp2jm+FQNjgu1uEIAgBW6HHSioqJ06NAhxcXFKTIy8qQLBhpjZLPZeCI4eszO0jot+neh/rGlxLGw39D4UN08IVXfHZ+ikABuTwFAb9bld4GPP/7YMaNq1apVbisI6IrtJbV6/t+Fem9riWP8zYWDYnTn5AxdOrT/SYM4AKD36XLQOX4G1aWXXqq1a9dq8eLFKiws1Jtvvqnk5GT95S9/0cCBA91SKGCM0Yb9R/S7jwv0710Vju1XDU9Q9mWDNXJAhIXVAQA8Ubf69d966y3dcsstmjVrljZt2qSWlhZJUk1NjRYsWKDly5e7tEj0bh12oxX5pfrDmkJtOVgjSfKzSddkJem2C9M1Ni3K4goBAJ6qW0Fn/vz5WrRokW699Va9+uqrju0XXXSR5s+f77Li3CknJ0c5OTmMJ/Jwefuq9OQ/tmlbSecA+MA+fvpWVpLuu2KIUmNCLK4OAODpuhV0du7cqcmTJ5+wPSIiQtXV1edaU4/Izs5Wdna2Y3oaPMuG/VX6+T+/0sYD1Y5tP7h0kL5/yUDFhgZaVxgAwKt0K+gkJCSooKBA6enpTts/+eQTZWRkuKIu9FK7y+r0ixU79NFX5ZI6b1F9Z+wA/eDSQcrozxRxAMDZ6VbQmTt3ru677z4tWbJENptNJSUlys3N1YMPPqjHH3/c1TWiFyisqFfOqgIt21Qsu+l8wOa0EQl69KrzlBLNLSoAQPd0K+g8+uijstvtuuKKK9TY2KjJkycrMDBQDz74oO69915X1wgfVlbbrOdXF2rpFwfU2mGX1DmL6sFpQzU4jofCAgDOzTk9AqK1tVUFBQWqr69XZmamQkO979YCj4Cwht1u9MaGIj35j21qbusMOOPTo/Q/V5+vManMogIAnJ7LHwFxMgEBAcrMzDyXU6CX6bAbfbCtVP//yt3aUVonSRoSF6pHp5+ny8+LY6E/AIBLsT4+esz2klr9eNmX2nR0JlVYYB/de8VgzblooPr6+1lbHADAJxF04HZ1zW167sPd+nPuPnXYjUID+2j2hWmae0mGIkMCrC4PAODDCDpwqxX5pXrqH9tUWtssSbp6ZIIe/1amEiOCLa4MANAbEHTgFiXVTXryH9v04fYySVJqdIh+dt1wTRkWZ3FlAIDehKADl+qwGy39Yr+eeX+HGlo71MfPpv++NEP3Xj5EQX39rS4PANDLEHTgMhV1Lbpn6UZ9sbdKkjQ2LUoLbhipYQmshwMAsAZBB+fMGKMXPtmr33ywS01tHeoX4K8fXTlMt12YLj8/posDAKxD0ME5qaxv0d1/3ah1+zp7cUYmR+i5maNY1RgA4BEIOugWY4z+tq5IC5Z/pfqWdvXxs+nR6efpjosHsugfAMBjEHRw1upb2vXIm1v1zy8PSZKGxodq4cwxykziERoAAM9C0MFZ2XTgiOa+vEGV9S3ys0n3Xj5EP7xiiPwZiwMA8EAEHXRJh91o0b8L9dyHu9RuN0qJDtYzN2bposGxVpcGAMApEXRwRq3tdt3x5/Vau7tSknTV8AT9+rujFBrIjw8AwLPxToXT2lNRr7tf2agdpXXq62/TghtG6jtjBzDgGADgFQg6OKXPCit158sbVN/SrrDAPnrm21m6JivR6rIAAOgygg5OYIzR/60u1LMf7lKH3WhEcrienzVWKdEhVpcGAMBZIejASVuHXb94f4f+9MleSdL1o5P08xtGqh/jcQAAXoh3LziU1jTrey98oYLyeknSI1edpx9cmsF4HACA1/KzugBXuOGGGxQVFaXvfOc7VpfitfZVNuiWoyGnX4C/Fn3vAt01ZRAhBwDg1Xwi6Nx33316+eWXrS7Da+UX1+ja33+i3eX1igsL1Lv3XqyrRjDoGADg/Xwi6EyZMkVhYTxEsjs+K6zUzX/8XLXN7RqdEqn37r1YGf1DrS4LAACXsDzorFmzRjNmzFBSUpJsNpuWLVt2wjE5OTlKT09XUFCQJk6cqHXr1vV8oT7oX9tKdesL61Tb3K7MxHC9eNt4xYUHWV0WAAAuY3nQaWho0KhRo5STk3PS/a+99prmzZunJ598Uhs3btSoUaM0bdo0lZeXd+v7tbS0qLa21unVG72zuVj3LN2odrvRJUNi9fbdFyqqX4DVZQEA4FKWB53p06dr/vz5uuGGG066/9lnn9XcuXM1Z84cZWZmatGiRQoJCdGSJUu69f2efvppRUREOF4pKSnnUr5XeuWL/br/tc1q6zC6JitRS24br6C+/laXBQCAy1kedE6ntbVVGzZs0NSpUx3b/Pz8NHXqVOXm5nbrnI899phqamocr6KiIleV6xU+3F6mJ97ZJmOkWRNT9bv/GqO+/h79YwAAQLd59Do6lZWV6ujoUHx8vNP2+Ph47dixw/H51KlTtWXLFjU0NGjAgAF64403NGnSpJOeMzAwUIGBgW6t21Mt//KQ7n5loyRp+ogEzb9+BNPHAQA+zaODTld99NFHVpfg8d7/8pB++LdNkqSp58dr4X+NJuQAAHyeR9+ziI2Nlb+/v8rKypy2l5WVKSEhwaKqvM+XB2v0wOubHQOPf3/zGAX2YUwOAMD3eXTQCQgI0NixY7Vy5UrHNrvdrpUrV57y1lRX5eTkKDMzU+PHjz/XMj1aYUW9Zv4hV81tdg2LD9MLsxl4DADoPSy/dVVfX6+CggLH53v37tXmzZsVHR2t1NRUzZs3T7Nnz9a4ceM0YcIELVy4UA0NDZozZ845fd/s7GxlZ2ertrZWERER59oMj1TT2KZ7lm5SY2uHLkiN1ItzJiigj0dnWwAAXMryoJOXl6fLLrvM8fm8efMkSbNnz9ZLL72kmTNnqqKiQk888YRKS0s1evRorVix4oQBynDW2m7XD1/dpK8O1SoqpK9+e9MYRQT3tbosAAB6lM0YY6wuwkrHenRqamoUHh5udTku8/CbW/R63kEF9vHTW3ddqBHJvtlrBQDonbr6/s19DB/0/OpCvZ53UJL07HdHE3IAAL1Wrw06vjoY+a0NB/WLFZ1rDP33pRm6JounkAMAei9uXfnQratdZXW67vefqqmtQ/81PkXPfDvL6pIAAHALbl31MsYYPfb2l2pq69CY1EjNv36E1SUBAGA5go6PWPTvPdqw/4iC+/rr+Vlj1YfnVwEAQNDxBR/vKHOMy3lo2jAlRARZXBEAAJ6BoOPlymqb9cBrWyRJN45J1pyL0q0tCAAAD9Jrg44vzLo6Ni6npqlNI5MjtODGkTyoEwCA4zDryotnXb2RV6SH3tyqAH8/vffDizU0PszqkgAA6BHMuvJxO0vr9OQ/tkmSHvjmUEIOAAAnQdDxQh12o28//5kaWzs0cWC05l4y0OqSAADwSAQdL/SX3H2qb2mXJD3z7SymkgMAcAq8Q3qZnaV1WrC8cyr5T645XwNj+1lcEQAAnqvXBh1vnHXV1mHXg29sUWuHXd/IiNaci7hlBQDA6TDryotmXb2+vkgPv7VVffxs+nDepfTmAAB6LWZd+Zja5jb9+oOdkqQ5F6UTcgAA6AKCjpd4M++gyuta1D8sUNmXDba6HAAAvAJBxwvsKqvTM+93DkDOnjJIkSEBFlcEAIB3IOh4uA670dyX89TaYVd6TIj+v3EpVpcEAIDXIOh4uPfzD2n/4UZJ0h9vHad+gX0srggAAO9B0PFgxhj9duVuSdKtk9I0hMc8AABwVnpt0PGGdXTW7q7UrrJ6hQT46/6pQ60uBwAAr9Nrg052dra2b9+u9evXW13KKb3wyV5J0nfHpSi6HwOQAQA4W7026Hi6zwor9e9dFbLZpNtZARkAgG4h6HioX/+rc3HAqefHKzUmxOJqAADwTgQdD7T1YLU2HqiWJD3A2BwAALqNoOOB/rbugCTpquEJykzy7OdvAQDgyQg6HuZIQ6ve2lgsqfOZVgAAoPsIOh7mrY0H1dpu14jkcE0YGG11OQAAeDWCjgcxxuiVLzpvW908IU02m83iigAA8G4EHQ+SW3hYeysb1C/AX9eOTrK6HAAAvF6vDTqeuDLyq+uLJEnXjUlWKM+0AgDgnPXaoONpKyMfaWjVivxSSdJN41MtrgYAAN/Qa4OOp/nr5/vV2mFXZmK4RiQzpRwAAFcg6HiA0ppm/d/qQknSHRcPZBAyAAAuQtDxAO9uKVFTW4fGpEbqxguSrS4HAACfQdDxAJuKjkiSJg/pT28OAAAuRNCx2OH6Fv1rW5kk6Yrz4yyuBgAA30LQsVje/iPqsBsNjQ9V1oBIq8sBAMCnEHQs9snuSknS2DQe9wAAgKsRdCzUYTda/uUhSdK04fEWVwMAgO8h6Fhoc1G1Dje0Kiywjy4cFGt1OQAA+ByCjoXe2nhQknT5+XEK6MOlAADA1Xh3tcjBI43627rOJ5VfP4a1cwAAcIdeG3SsfqhnfnGtjJHSYkJ02TCmlQMA4A69NuhY/VDP7YdqJUnj05ltBQCAu/TaoGOlDrvRm3lFkqRxaVEWVwMAgO8i6Fhg/+EGldQ0K6CPn64bzfgcAADchaBjgVU7KyRJI5LCFRzgb3E1AAD4LoKOBd4/ukggvTkAALgXQaeHNba2a8vBaklithUAAG5G0OlhG/YfUVuHUXJksFKig60uBwAAn0bQ6WG5hYclSRMzomWz2SyuBgAA30bQ6WG5ezqDzqSMGIsrAQDA9xF0elBDS7u2HqyRJH2DoAMAgNsRdHrQ+n1V6rAbDYgKVkp0iNXlAADg8wg6PejzPVWS6M0BAKCnEHR6EONzAADoWQSdHlLX3Kb84qPjcwYRdAAA6AkEnR6St++IOuxGqdEhSo5k/RwAAHoCQaeHfHm0N4enlQMA0HMIOj1kV1mdJGloQpjFlQAA0Hv02qCTk5OjzMxMjR8/vke+X0F5vSRpaHxoj3w/AADQi4NOdna2tm/frvXr17v9e7V32LWnokGSNCSOHh0AAHpKrw06PelAVaNaO+wK7uvPQGQAAHoQQacH7CrrvG01OC5Ufn48yBMAgJ5C0OkBBeWdA5GHxDE+BwCAnkTQ6QG7jw5EHhLP+BwAAHoSQacH7D5664oeHQAAehZBx8067EaFFcd6dAg6AAD0JIKOmx2oalRLu11Bff00ICrE6nIAAOhVCDpu9llhpSRpeFKE/JlxBQBAjyLouNmu0s4ZV+PSecYVAAA9jaDjZvurGiVJA2P6WVwJAAC9D0HHzQ4eaZIkxucAAGABgo4bGWNUfDToJEfx6AcAAHoaQceNqhpa1dTWIUlKigyyuBoAAHofgo4bFR59YnlyZLAC+/hbXA0AAL0PQceNdpZ1zrgalsCjHwAAsAJBx42OTS0fyjOuAACwBEHHjf7To8OjHwAAsAJBx02MMdpVRo8OAABWIui4SX1Lu6ob2yRJA2NZLBAAACsQdNykqqFVkhQS4K+QgD4WVwMAQO9E0HGTstoWSVJ0vwCLKwEAoPci6LjJpgNHJEnnJYRbXAkAAL0XQcdNqps6x+ekxfCMKwAArOITQee9997TsGHDNGTIEP3pT3+yuhxJUn1zuyQpNJDxOQAAWMXr34Xb29s1b948rVq1ShERERo7dqxuuOEGxcTEWFpXfQtBBwAAq3l9j866des0fPhwJScnKzQ0VNOnT9cHH3xgdVmqOXrrKjSIoAMAgFUsDzpr1qzRjBkzlJSUJJvNpmXLlp1wTE5OjtLT0xUUFKSJEydq3bp1jn0lJSVKTk52fJ6cnKzi4uKeKP20CsrrJTFGBwAAK1kedBoaGjRq1Cjl5OScdP9rr72mefPm6cknn9TGjRs1atQoTZs2TeXl5d36fi0tLaqtrXV6uVpru93xMbOuAACwjuVBZ/r06Zo/f75uuOGGk+5/9tlnNXfuXM2ZM0eZmZlatGiRQkJCtGTJEklSUlKSUw9OcXGxkpKSTvn9nn76aUVERDheKSkprm2QpIA+flrz8GXK/+k01tEBAMBClged02ltbdWGDRs0depUxzY/Pz9NnTpVubm5kqQJEyYoPz9fxcXFqq+v1/vvv69p06ad8pyPPfaYampqHK+ioiK31c9AZAAArOXR78SVlZXq6OhQfHy80/b4+Hjt2LFDktSnTx/95je/0WWXXSa73a6HH374tDOuAgMDFRgY6Na6AQCAZ/DooNNV1157ra699lqrywAAAB7Go29dxcbGyt/fX2VlZU7by8rKlJCQYFFVAADAW3h00AkICNDYsWO1cuVKxza73a6VK1dq0qRJ53TunJwcZWZmavz48edaJgAA8FCW37qqr69XQUGB4/O9e/dq8+bNio6OVmpqqubNm6fZs2dr3LhxmjBhghYuXKiGhgbNmTPnnL5vdna2srOzVVtbq4iIiHNtBgAA8ECWB528vDxddtlljs/nzZsnSZo9e7ZeeuklzZw5UxUVFXriiSdUWlqq0aNHa8WKFScMUAYAAPg6mzHGWF2ElY716NTU1Cg8nMX9AADwBl19//boMToAAADnotcGHQYjAwDg+7h1xa0rAAC8DreuAABAr0fQAQAAPougAwAAfJbl6+hY7dgQpdraWosrAQAAXXXsfftMQ417bdDJyclRTk6OWltbJUkpKSkWVwQAAM5WXV3daZ9w0OtnXdntdpWUlCgsLEw2m81l562trVVKSoqKiop8djaXr7eR9nk/X28j7fN+vt5Gd7bPGKO6ujolJSXJz+/UI3F6bY/OMX5+fhowYIDbzh8eHu6TP7zH8/U20j7v5+ttpH3ez9fb6K72deVZlQxGBgAAPougAwAAfBZBx00CAwP15JNPKjAw0OpS3MbX20j7vJ+vt5H2eT9fb6MntK/XD0YGAAC+ix4dAADgswg6AADAZxF0AACAzyLoAAAAn0XQcZOcnBylp6crKChIEydO1Lp166wu6YyefvppjR8/XmFhYYqLi9P111+vnTt3Oh0zZcoU2Ww2p9cPfvADp2MOHDiga665RiEhIYqLi9NDDz2k9vb2nmzKKT311FMn1H/eeec59jc3Nys7O1sxMTEKDQ3Vt7/9bZWVlTmdw5Pbl56efkL7bDabsrOzJXnn9VuzZo1mzJihpKQk2Ww2LVu2zGm/MUZPPPGEEhMTFRwcrKlTp2r37t1Ox1RVVWnWrFkKDw9XZGSk7rjjDtXX1zsds3XrVl1yySUKCgpSSkqKfvnLX7q7aZJO3762tjY98sgjGjlypPr166ekpCTdeuutKikpcTrHya77M88843SMJ7ZPkm677bYTar/qqqucjvHk6yeduY0n+5202Wz61a9+5TjGk69hV94bXPW3c/Xq1brgggsUGBiowYMH66WXXjr3Bhi43KuvvmoCAgLMkiVLzLZt28zcuXNNZGSkKSsrs7q005o2bZp58cUXTX5+vtm8ebO5+uqrTWpqqqmvr3ccc+mll5q5c+eaQ4cOOV41NTWO/e3t7WbEiBFm6tSpZtOmTWb58uUmNjbWPPbYY1Y06QRPPvmkGT58uFP9FRUVjv0/+MEPTEpKilm5cqXJy8sz3/jGN8yFF17o2O/p7SsvL3dq24cffmgkmVWrVhljvPP6LV++3Pz4xz82b7/9tpFk/v73vzvtf+aZZ0xERIRZtmyZ2bJli7n22mvNwIEDTVNTk+OYq666yowaNcp8/vnnZu3atWbw4MHmpptucuyvqakx8fHxZtasWSY/P9/87W9/M8HBwWbx4sWWtq+6utpMnTrVvPbaa2bHjh0mNzfXTJgwwYwdO9bpHGlpaeZnP/uZ03U9/vfWU9tnjDGzZ882V111lVPtVVVVTsd48vUz5sxtPL5thw4dMkuWLDE2m80UFhY6jvHka9iV9wZX/O3cs2ePCQkJMfPmzTPbt283v/vd74y/v79ZsWLFOdVP0HGDCRMmmOzsbMfnHR0dJikpyTz99NMWVnX2ysvLjSTz73//27Ht0ksvNffdd98pv2b58uXGz8/PlJaWOrY9//zzJjw83LS0tLiz3C558sknzahRo066r7q62vTt29e88cYbjm1fffWVkWRyc3ONMZ7fvq+77777zKBBg4zdbjfGeP/1+/qbiN1uNwkJCeZXv/qVY1t1dbUJDAw0f/vb34wxxmzfvt1IMuvXr3cc8/777xubzWaKi4uNMcb83//9n4mKinJq4yOPPGKGDRvm5hY5O9mb5NetW7fOSDL79+93bEtLSzPPPffcKb/Gk9s3e/Zsc911153ya7zp+hnTtWt43XXXmcsvv9xpm7dcQ2NOfG9w1d/Ohx9+2AwfPtzpe82cOdNMmzbtnOrl1pWLtba2asOGDZo6dapjm5+fn6ZOnarc3FwLKzt7NTU1kqTo6Gin7a+88opiY2M1YsQIPfbYY2psbHTsy83N1ciRIxUfH+/YNm3aNNXW1mrbtm09U/gZ7N69W0lJScrIyNCsWbN04MABSdKGDRvU1tbmdO3OO+88paamOq6dN7TvmNbWVv31r3/V7bff7vTAWm+/fsfbu3evSktLna5ZRESEJk6c6HTNIiMjNW7cOMcxU6dOlZ+fn7744gvHMZMnT1ZAQIDjmGnTpmnnzp06cuRID7Wma2pqamSz2RQZGem0/ZlnnlFMTIzGjBmjX/3qV063BDy9fatXr1ZcXJyGDRumu+66S4cPH3bs87XrV1ZWpn/+85+64447TtjnLdfw6+8NrvrbmZub63SOY8ec63tnr3+op6tVVlaqo6PD6WJKUnx8vHbs2GFRVWfPbrfr/vvv10UXXaQRI0Y4tt98881KS0tTUlKStm7dqkceeUQ7d+7U22+/LUkqLS09aduP7bPaxIkT9dJLL2nYsGE6dOiQfvrTn+qSSy5Rfn6+SktLFRAQcMIbSHx8vKN2T2/f8ZYtW6bq6mrddtttjm3efv2+7lhNJ6v5+GsWFxfntL9Pnz6Kjo52OmbgwIEnnOPYvqioKLfUf7aam5v1yCOP6KabbnJ6QOIPf/hDXXDBBYqOjtZnn32mxx57TIcOHdKzzz4rybPbd9VVV+nGG2/UwIEDVVhYqP/5n//R9OnTlZubK39/f5+6fpL05z//WWFhYbrxxhudtnvLNTzZe4Or/nae6pja2lo1NTUpODi4WzUTdHBS2dnZys/P1yeffOK0/c4773R8PHLkSCUmJuqKK65QYWGhBg0a1NNlnrXp06c7Ps7KytLEiROVlpam119/vdu/RJ7qhRde0PTp05WUlOTY5u3Xrzdra2vTd7/7XRlj9PzzzzvtmzdvnuPjrKwsBQQE6L//+7/19NNPe/yjBf7rv/7L8fHIkSOVlZWlQYMGafXq1briiissrMw9lixZolmzZikoKMhpu7dcw1O9N3gybl25WGxsrPz9/U8YbV5WVqaEhASLqjo799xzj9577z2tWrVKAwYMOO2xEydOlCQVFBRIkhISEk7a9mP7PE1kZKSGDh2qgoICJSQkqLW1VdXV1U7HHH/tvKV9+/fv10cffaTvf//7pz3O26/fsZpO9/uWkJCg8vJyp/3t7e2qqqrymut6LOTs379fH374oVNvzslMnDhR7e3t2rdvnyTPb9/xMjIyFBsb6/Qz6e3X75i1a9dq586dZ/y9lDzzGp7qvcFVfztPdUx4ePg5/UOUoONiAQEBGjt2rFauXOnYZrfbtXLlSk2aNMnCys7MGKN77rlHf//73/Xxxx+f0E16Mps3b5YkJSYmSpImTZqkL7/80ukP07E/zJmZmW6p+1zU19ersLBQiYmJGjt2rPr27et07Xbu3KkDBw44rp23tO/FF19UXFycrrnmmtMe5+3Xb+DAgUpISHC6ZrW1tfriiy+crll1dbU2bNjgOObjjz+W3W53BL1JkyZpzZo1amtrcxzz4YcfatiwYZbf9jgWcnbv3q2PPvpIMTExZ/yazZs3y8/Pz3HLx5Pb93UHDx7U4cOHnX4mvfn6He+FF17Q2LFjNWrUqDMe60nX8EzvDa762zlp0iSncxw75pzfO89pKDNO6tVXXzWBgYHmpZdeMtu3bzd33nmniYyMdBpt7onuuusuExERYVavXu00xbGxsdEYY0xBQYH52c9+ZvLy8szevXvNO++8YzIyMszkyZMd5zg2hfDKK680mzdvNitWrDD9+/f3mOnXP/rRj8zq1avN3r17zaeffmqmTp1qYmNjTXl5uTGmc4pkamqq+fjjj01eXp6ZNGmSmTRpkuPrPb19xnTO8ktNTTWPPPKI03ZvvX51dXVm06ZNZtOmTUaSefbZZ82mTZscs46eeeYZExkZad555x2zdetWc9111510evmYMWPMF198YT755BMzZMgQp+nJ1dXVJj4+3txyyy0mPz/fvPrqqyYkJKRHpu6ern2tra3m2muvNQMGDDCbN292+r08NlPls88+M88995zZvHmzKSwsNH/9619N//79za233urx7aurqzMPPvigyc3NNXv37jUfffSRueCCC8yQIUNMc3Oz4xyefP3O1MZjampqTEhIiHn++edP+HpPv4Znem8wxjV/O49NL3/ooYfMV199ZXJycphe7sl+97vfmdTUVBMQEGAmTJhgPv/8c6tLOiNJJ329+OKLxhhjDhw4YCZPnmyio6NNYGCgGTx4sHnooYec1mExxph9+/aZ6dOnm+DgYBMbG2t+9KMfmba2NgtadKKZM2eaxMREExAQYJKTk83MmTNNQUGBY39TU5O5++67TVRUlAkJCTE33HCDOXTokNM5PLl9xhjzr3/9y0gyO3fudNrurddv1apVJ/25nD17tjGmc4r5448/buLj401gYKC54oorTmj74cOHzU033WRCQ0NNeHi4mTNnjqmrq3M6ZsuWLebiiy82gYGBJjk52TzzzDOWt2/v3r2n/L08tjbShg0bzMSJE01ERIQJCgoy559/vlmwYIFTUPDU9jU2Nporr7zS9O/f3/Tt29ekpaWZuXPnnvCPQk++fmdq4zGLFy82wcHBprq6+oSv9/RreKb3BmNc97dz1apVZvTo0SYgIMBkZGQ4fY/ush1tBAAAgM9hjA4AAPBZBB0AAOCzCDoAAMBnEXQAAIDPIugAAACfRdABAAA+i6ADAAB8FkEHAAD4LIIOAI80ZcoU3X///d3++n379slmszme5wWgd+pjdQEAcDJvv/22+vbta3UZALwcQQeAR4qOjra6BAA+gFtXADzS8beu0tPTtWDBAt1+++0KCwtTamqq/vCHPzgdv27dOo0ZM0ZBQUEaN26cNm3adMI58/PzNX36dIWGhio+Pl633HKLKisrJUmrV69WQECA1q5d6zj+l7/8peLi4lRWVua+hgJwK4IOAK/wm9/8xhFg7r77bt11113auXOnJKm+vl7f+ta3lJmZqQ0bNuipp57Sgw8+6PT11dXVuvzyyzVmzBjl5eVpxYoVKisr03e/+11J/wlWt9xyi2pqarRp0yY9/vjj+tOf/qT4+Pgeby8A1+DWFQCvcPXVV+vuu++WJD3yyCN67rnntGrVKg0bNkxLly6V3W7XCy+8oKCgIA0fPlwHDx7UXXfd5fj63//+9xozZowWLFjg2LZkyRKlpKRo165dGjp0qObPn68PP/xQd955p/Lz8zV79mxde+21Pd5WAK5D0AHgFbKyshwf22w2JSQkqLy8XJL01VdfKSsrS0FBQY5jJk2a5PT1W7Zs0apVqxQaGnrCuQsLCzV06FAFBATolVdeUVZWltLS0vTcc8+5qTUAegpBB4BX+PoMLJvNJrvd3uWvr6+v14wZM/SLX/zihH2JiYmOjz/77DNJUlVVlaqqqtSvX79uVgzAEzBGB4DXO//887V161Y1Nzc7tn3++edOx1xwwQXatm2b0tPTNXjwYKfXsTBTWFioBx54QH/84x81ceJEzZ49+6zCFADPQ9AB4PVuvvlm2Ww2zZ07V9u3b9fy5cv161//2umY7OxsVVVV6aabbtL69etVWFiof/3rX5ozZ446OjrU0dGh733ve5o2bZrmzJmjF198UVu3btVvfvMbi1oFwBUIOgC8XmhoqN599119+eWXGjNmjH784x+fcIsqKSlJn376qTo6OnTllVdq5MiRuv/++xUZGSk/Pz/9/Oc/1/79+7V48WJJnbez/vCHP+gnP/mJtmzZYkWzALiAzRhjrC4CAADAHejRAQAAPougAwAAfBZBBwAA+CyCDgAA8FkEHQAA4LMIOgAAwGcRdAAAgM8i6AAAAJ9F0AEAAD6LoAMAAHwWQQcAAPis/wfzYBujpWtXigAAAABJRU5ErkJggg==", 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", 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" ] @@ -176,7 +176,7 @@ "id": "4fc78f9f", "metadata": {}, "source": [ - "However with `cola.linalg.inv` we can examine the properties of the solve like the number of iterations it as taken to converge. Instead using the default `method=auto`, let's explicitly pick `method=dense` to use a dense $O(n^3)$ method or `method=iterative` to use an iterative $O(\\tau \\sqrt{\\kappa}\\log 1/\\epsilon)$ where $\\tau$ is the time for an MVM with $A$, $\\kappa$ is the condition number of $A$ and $\\epsilon$ is the desired error tolerance." + "However with `cola.linalg.inv` we can examine the properties of the solve like the number of iterations it as taken to converge. Instead using the default `alg=Auto()`, let's explicitly pick `alg=Cholesky()` to use a dense $O(n^3)$ method or `alg=CG()` to use an iterative $O(\\tau \\sqrt{\\kappa}\\log 1/\\epsilon)$ where $\\tau$ is the time for an MVM with $A$, $\\kappa$ is the condition number of $A$ and $\\epsilon$ is the desired error tolerance." ] }, { @@ -189,18 +189,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "With dense: Ainv of type \n", - "With iterative: Ainv of type \n", - "Computed inverse in 119 iters with error 8.7e-07\n" + "With : Ainv of type \n", + "With CG(tol=1e-06, max_iters=1000, pbar=False, x0=None, P=None): Ainv of type \n", + "Computed inverse in 69 iters with error 1.9e-06\n" ] } ], "source": [ - "for method in ['dense','iterative']:\n", - " Ainv = cola.linalg.inv(A, method=method)\n", - " y = Ainv@x\n", - " print(f\"With {method}: Ainv of type {type(Ainv)}\")\n", - " if method == 'iterative':\n", + "for alg in [cola.Cholesky(), cola.CG()]:\n", + " Ainv = cola.linalg.inv(A, alg=alg)\n", + " y = Ainv @ x\n", + " print(f\"With {alg}: Ainv of type {type(Ainv)}\")\n", + " if isinstance(alg, cola.CG):\n", " print(f\"Computed inverse in {Ainv.info['iterations']} iters with error {Ainv.info['errors'][-1]:.1e}\")" ] }, @@ -212,7 +212,7 @@ "In the dense case the `inverse` LinearOperator is computed via Cholesky decomposition\n", "$A = LL^T$, and then using $A^{-1} = L^{-T}L^{-1}$ where $L^{-1}$ simply means a Linear Operator that performs triangular solves with $L$. We can see this reflected in the type of `Ainv`.\n", "\n", - "Meanwhile `iterative` uses Conjugate Gradients to perform multiplies with $A^{-1}$. With the iterative methods one often may want to specify an error tolerance or a maximum number of iterations to limit the computation." + "Meanwhile the iterative algorithm uses Conjugate Gradients to perform multiplies with $A^{-1}$. With the iterative methods one often may want to specify an error tolerance or a maximum number of iterations to limit the computation." ] }, { @@ -225,13 +225,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Computed inverse in 60 iters with error 8.4e-04\n" + "Computed inverse in 85 iters with error 1.4e-08\n" ] } ], "source": [ - "Ainv = cola.linalg.inv(A, method='iterative', tol=1e-3, max_iters=100)\n", - "y = Ainv@x\n", + "Ainv = cola.linalg.inv(A, cola.CG(tol=1e-8, max_iters=1_000))\n", + "y = Ainv @ x\n", "print(f\"Computed inverse in {Ainv.info['iterations']} iters with error {Ainv.info['errors'][-1]:.1e}\")" ] }, @@ -263,22 +263,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "With dense: Ainv of type \n", - "With iterative: Ainv of type \n", + "With : Ainv of type \n", + "With GMRES(tol=0.001, max_iters=100, pbar=False, x0=None, P=None): Ainv of type \n", "Computed inverse in 101 iters with error 2.5e+01\n", - "Actual residual error: tensor(0.0027)\n" + "Actual residual error: 1.490e-04\n" ] } ], "source": [ - "for method in ['dense','iterative']:\n", - " Binv = cola.linalg.inv(B, method=method, tol=1e-3, max_iters=100)\n", - " y = Binv@x\n", - " print(f\"With {method}: Ainv of type {type(Binv)}\")\n", - " if method == 'iterative':\n", + "for alg in [cola.LU(), cola.GMRES(tol=1e-3, max_iters=100)]:\n", + " Binv = cola.linalg.inv(B, alg=alg)\n", + " y = Binv @ x\n", + " print(f\"With {alg}: Ainv of type {type(Binv)}\")\n", + " if isinstance(alg, cola.GMRES):\n", " print(f\"Computed inverse in {Binv.info['iterations']} iters with error {Binv.info['errors'][-1]:.1e}\")\n", "\n", - "print(\"Actual residual error:\", torch.linalg.norm(B @ y - x) / torch.linalg.norm(x))" + "print(f\"Actual residual error: {torch.linalg.norm(B @ y - x) / torch.linalg.norm(x):1.3e}\")" ] }, { @@ -286,10 +286,9 @@ "id": "df0fbbc9", "metadata": {}, "source": [ - "We can observe a few things here.\n", - "In the dense case, CoLA performs a PLU decomposition $B=P^{-1}LU$ and then computes the inverse as $U^{-1}L^{-1}P$ again using the implicit triangular solves, but this time combined with a permutation inverse.\n", + "In the first case, CoLA performs a PLU decomposition $B=P^{-1}LU$ and then computes the inverse as $U^{-1}L^{-1}P$ again using the implicit triangular solves, but this time combined with a permutation inverse.\n", "\n", - "In the iterative case, CoLA uses GMRES. Notably GMRES uses Arnoldi as a component of the algorithm, and the convergence criteria for Arnoldi depends on more than just residual errors that we care about for the linear solve. As a result of this more stringent convergence criteria, GMRES hits max_iters before stopping from the Arnoldi convergence tolerance, and the errors can be more easily controlled via changing max_iters.\n", + "In the second case, CoLA uses GMRES. Notably GMRES uses Arnoldi as a component of the algorithm, and the convergence criteria for Arnoldi depends on more than just residual errors that we care about for the linear solve. As a result of this more stringent convergence criteria, GMRES hits `max_iters` before stopping from the Arnoldi convergence tolerance, and the errors can be more easily controlled via changing `max_iters`.\n", "\n", "In general CG has much more favorable properties over GMRES since with GMRES the memory requirement will grow with the number of iterations as will the compute, and hence if a matrix is PSD annotating it as such is highly preferable." ] @@ -304,9 +303,9 @@ "Broadly we can consider many functions linear algebra operations $A^{1/2}$, $\\exp(A)$, $\\log(A)$\n", "as instances of $f(A)$ where $f$ is assumed to have a convergent Taylor expansion within the bounds of the spectrum of $A$.\n", "\n", - "For 'method = dense', we compute these functions performing an eigendecomposition $A=P\\Lambda P^{-1}$ and evaluate $f(A)=P f(\\Lambda) P^{-1}$, and this runs in time $O(n^3)$.\n", + "For `alg = Auto()`, we compute these functions performing an eigendecomposition $A=P\\Lambda P^{-1}$ and evaluate $f(A)=P f(\\Lambda) P^{-1}$, and this runs in time $O(n^3)$.\n", "\n", - "For 'method = iterative', we evaluate matrix vector products $f(A)v$ using the Lanczos and Arnoldi processes starting with the vector $v$. Running in time $O(\\tau \\sqrt{\\kappa}\\log 1/\\epsilon+m^3+mn)$ where $m$ is `max_iters`, this approach gives $\\epsilon$ accurate evaluation of $f(A)v$. (With some extra effort the $m^3$ term can be reduced to $m^2$ but we have not yet implemented this optimization.)\n", + "For `alg = Lanczos()` or `alg = Arnoldi()`, we evaluate matrix vector products $f(A)v$ using the Lanczos and Arnoldi processes starting with the vector $v$. Running in time $O(\\tau \\sqrt{\\kappa}\\log 1/\\epsilon+m^3+mn)$ where $m$ is `max_iters`, this approach gives $\\epsilon$ accurate evaluation of $f(A)v$. (With some extra effort the $m^3$ term can be reduced to $m^2$ but we have not yet implemented this optimization.)\n", "\n", "For different $v$ the process will be run again, as Lanczos needs $v$ to construct a low error approximation." ] @@ -318,7 +317,7 @@ "source": [ "### SelfAdjoint\n", "\n", - "Whether CoLA uses the more efficient Lanczos process or more costly version using Arnoldi depends on whether or not the matrix is `SelfAdjoint` (which gauruntees an orthogonal eigenbasis). `SelfAdjoint` is considered a superset of `PSD`." + "Whether CoLA uses the more efficient Lanczos process or more costly version using Arnoldi depends on whether or not the matrix is `SelfAdjoint` (which guarantees an orthogonal eigenbasis). `SelfAdjoint` is considered a superset of `PSD`." ] }, { @@ -348,29 +347,29 @@ "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "/home/ubu/venv/cola/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpeptest.py:311: BeartypeDecorHintPep585DeprecationWarning: PEP 484 type hint typing.Callable deprecated by PEP 585. This hint is scheduled for removal in the first Python version released after October 5th, 2025. To resolve this, import this hint from \"beartype.typing\" rather than \"typing\". For further commentary and alternatives, see also:\n", - " https://beartype.readthedocs.io/en/latest/api_roar/#pep-585-deprecations\n", - " warn(\n" + "S with method=Auto() is of type \n", + "error in sqrt: tensor(2.0802e-06)\n", + "S with method=Lanczos(start_vector=None, max_iters=100, tol=0.0001, pbar=False) is of type \n", + "error in sqrt: tensor(1.9483e-06)\n" ] }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "S with method=dense is of type \n", - "error in sqrt: tensor(4.3223e-06)\n", - "S with method=iterative is of type \n", - "error in sqrt: tensor(1.2071e-05)\n" + "/home/ubu/venv/cola/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpeptest.py:311: BeartypeDecorHintPep585DeprecationWarning: PEP 484 type hint typing.Callable deprecated by PEP 585. This hint is scheduled for removal in the first Python version released after October 5th, 2025. To resolve this, import this hint from \"beartype.typing\" rather than \"typing\". For further commentary and alternatives, see also:\n", + " https://beartype.readthedocs.io/en/latest/api_roar/#pep-585-deprecations\n", + " warn(\n" ] } ], "source": [ - "for method in ['dense', 'iterative']:\n", - " S = cola.linalg.sqrt(A,tol=1e-4, max_iters=100, method=method)\n", - " print(f\"S with method={method} is of type {type(S)}\")\n", + "for alg in [cola.Auto(), cola.Lanczos(tol=1e-4, max_iters=100)]:\n", + " S = cola.linalg.sqrt(A, alg=alg)\n", + " print(f\"S with method={alg} is of type {type(S)}\")\n", " print(\"error in sqrt:\", torch.linalg.norm(S @ (S @ x) - A @ x) / torch.linalg.norm(A @ x))" ] }, @@ -392,23 +391,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "tensor([[0.3532, 0.0026],\n", - " [0.0026, 0.3468]])\n", - "tensor([[ 0.0565, -0.0104],\n", - " [-0.0104, 0.0613]])\n", - "tensor([[ 2.6618e+30, -5.8898e+29],\n", - " [-5.8899e+29, 4.6795e+29]])\n", - "tensor([[37.2876, 4.1426],\n", - " [ 4.1389, 18.6928]])\n" + "tensor([[ 0.2103, -0.0531],\n", + " [-0.0531, 0.1666]])\n", + "tensor([[0.6478, 0.3039],\n", + " [0.3039, 0.7369]])\n", + "tensor([[1.7403e+23, 1.8028e+23],\n", + " [1.8028e+23, 1.9524e+23]])\n", + "tensor([[ 2.2539, -0.7511],\n", + " [-0.7511, 1.4565]])\n" ] } ], "source": [ "expA = cola.linalg.exp(-A)\n", "logA = cola.linalg.log(A)\n", - "Apow10 = cola.linalg.pow(A,10)\n", + "Apow10 = cola.linalg.pow(A, 10)\n", "resolvent = cola.linalg.apply_unary(lambda x: 1 / (x - 1), A)\n", - "[print(op[:2, :2].to_dense()) for op in [expA, logA, Apow10, resolvent]];" + "for op in [expA, logA, Apow10, resolvent]:\n", + " print(op[:2, :2].to_dense())" ] }, { @@ -426,22 +426,31 @@ "id": "31efd212", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/ubu/cola/cola/backends/torch_fns.py:101: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at ../aten/src/ATen/native/Copy.cpp:299.)\n", + " p_ids = (P @ torch.arange(P.shape[-1]).to(P.device, P.dtype)).to(torch.long)\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "tensor([[0.5433-0.2177j, 0.1783+0.2979j],\n", - " [0.0123+0.0198j, 0.9617+0.3228j]])\n", - "tensor([[ -966.8961-0.0044j, -3458.3843+0.0029j],\n", - " [ 502.8666+0.0023j, 1800.1865-0.0015j]])\n", - "tensor([[-4.5568e+19+7.3757e+13j, -2.5659e+19+1.9980e+14j],\n", - " [ 1.6862e+19-2.5976e+13j, 9.4118e+18-7.5235e+13j]])\n" + "tensor([[ 2.3205+4.6194e-07j, -0.6258+2.6822e-07j],\n", + " [ 1.8426+4.8429e-07j, 0.8871+2.2352e-07j]])\n", + "tensor([[ 686.1265-7.6294e-05j, -168.1782+3.0816e-05j],\n", + " [ 567.8098-4.5776e-05j, -364.0045-1.8716e-05j]])\n", + "tensor([[ 1.4590e+18+2.1475e+10j, -9.3808e+18+2.3782e+12j],\n", + " [ 1.0919e+18-9.4489e+10j, -4.7317e+18+1.8495e+12j]])\n" ] } ], "source": [ "ops = [cola.linalg.sqrt(B), cola.linalg.exp(-B), cola.linalg.pow(B, 10)]\n", - "[print(op[:2, :2].to_dense()) for op in ops];" + "for op in ops:\n", + " print(op[:2, :2].to_dense())" ] }, { @@ -451,11 +460,11 @@ "source": [ "## Trace and Diagonal estimation\n", "\n", - "Unlike for Dense matrices, evaluating the trace or diagonal of a LinearOperators can be difficult (consider for example the diagonal of the Hessian of a neural network). Depending on the needs for the problem at hand we provide multiple different solutions:\n", + "Unlike for dense matrices, evaluating the trace or diagonal of a `LinearOperators` can be difficult (consider for example the diagonal of the Hessian of a neural network). Depending on the needs for the problem at hand we provide multiple different solutions:\n", "- an exact $O(n\\tau)$ compute and $O(\\tau)$ memory evaluation which loops over the basis elements $A_{ii} = e_i^TAe_i$\n", "- an stochastic Hutchinson estimator which is unbiased (always), but has runtime $O(1/\\delta^2)$ where $\\delta$ is the desired tolerance for the standard deviation of the estimate.\n", "\n", - "These can be chosen directly by specifying `method=exact`, `method=approx` or by letting the algorithm decide which will be faster based on the specified tolerance for the standard deviation `tol`. In general for methods which only need stochastic estimates (such as to be used in SGD) or only need one or two digits of precision, then the stochastic estimator will be faster.\n", + "These can be chosen directly by specifying `alg = Exact()`, `alg = Hutch()` or by letting the algorithm decide which will be faster `alg = Auto()` based on the specified tolerance for the standard deviation `tol`. In general for methods which only need stochastic estimates (such as to be used in SGD) or only need one or two digits of precision, then the stochastic estimator will be faster.\n", "\n", "We can use either of these two methods for\n", "- computing the trace\n", @@ -473,13 +482,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "exact trace: 110965.4765625, stochastic trace: 110981.0\n" + "exact trace: 11207.5498046875, stochastic trace: 11210.9033203125\n" ] } ], "source": [ - "exact = cola.linalg.trace(A)\n", - "approx = cola.linalg.trace(A, method='approx', tol=3e-2)\n", + "exact = cola.linalg.trace(A, alg=cola.Exact())\n", + "approx = cola.linalg.trace(A, alg=cola.Hutch(tol=3e-2))\n", "print(f\"exact trace: {exact}, stochastic trace: {approx}\")" ] }, @@ -493,8 +502,75 @@ "name": "stdout", "output_type": "stream", "text": [ - "diagonal: tensor([ 4.6068, 1.8986, 11.3133, ..., 101.1196, 105.8028, 108.4426])\n", - "off-diagonal: tensor([-0.7107, 1.8426, 0.0810, ..., 0.0902, -0.2768, 0.9027])\n" + "diagonal: tensor([ 8.5118, 7.3608, 7.6542, 5.3548, 19.0612, 6.4097, 9.7575,\n", + " 9.3554, 8.1646, 8.7194, 9.9059, 18.2854, 12.0774, 10.2313,\n", + " 11.9585, 11.6125, 21.9750, 11.9402, 15.4233, 15.2707, 12.4610,\n", + " 22.2939, 17.6396, 17.7406, 17.1853, 18.1922, 16.9665, 16.7785,\n", + " 17.1129, 24.1279, 24.2655, 20.6261, 30.2835, 25.2488, 22.8829,\n", + " 21.5087, 32.3452, 21.1568, 22.0920, 26.7968, 23.7173, 25.8120,\n", + " 28.0823, 25.8921, 29.1320, 25.5530, 26.5214, 30.8620, 25.8763,\n", + " 29.4752, 27.4093, 29.1308, 29.8036, 31.7998, 31.0898, 37.9161,\n", + " 36.4030, 31.3916, 31.9861, 37.5207, 40.0409, 38.4947, 39.8926,\n", + " 36.0543, 34.5295, 40.3930, 36.6227, 39.6822, 37.7233, 35.6859,\n", + " 43.5714, 46.2801, 46.4217, 41.1966, 45.3633, 40.9981, 41.2265,\n", + " 44.7463, 53.7195, 47.1256, 46.2465, 44.3040, 42.5806, 52.0961,\n", + " 45.1239, 47.3316, 48.3270, 56.3554, 48.5199, 51.2425, 50.5862,\n", + " 60.9226, 49.5557, 47.8160, 53.8036, 59.4363, 57.2788, 56.2419,\n", + " 56.7123, 57.7423, 53.7828, 59.3607, 56.2272, 64.2254, 56.6092,\n", + " 65.7697, 54.5191, 59.3984, 58.8306, 57.5462, 62.9409, 65.3171,\n", + " 75.3433, 59.4735, 65.2470, 60.6562, 65.1781, 65.6146, 68.9406,\n", + " 69.9885, 73.6313, 65.3591, 64.2916, 66.5440, 72.6440, 68.2763,\n", + " 66.7878, 66.3294, 71.9146, 71.1690, 70.9741, 68.7452, 82.5140,\n", + " 71.5895, 78.3163, 70.6314, 71.6406, 77.4104, 72.2250, 77.0280,\n", + " 73.4117, 75.4781, 82.2615, 77.7552, 74.7615, 77.1487, 84.0647,\n", + " 77.4321, 82.0002, 82.1438, 78.9036, 78.4603, 78.7670, 85.3516,\n", + " 88.9480, 80.9072, 82.9142, 82.9673, 90.1816, 86.2896, 82.0797,\n", + " 85.9348, 82.7690, 87.6654, 86.7496, 90.5796, 88.2644, 86.2070,\n", + " 89.0124, 88.8021, 86.6497, 93.3623, 91.8149, 95.2812, 96.5947,\n", + " 89.7338, 93.2476, 92.0821, 97.3608, 95.8187, 95.3042, 97.2232,\n", + " 93.6238, 96.4429, 103.5226, 95.2086, 96.9995, 99.2942, 96.2102,\n", + " 99.1804, 99.8973, 107.0359, 97.8000, 103.5394, 101.4755, 99.7733,\n", + " 101.5736, 108.3602, 104.8761, 102.9599])\n", + "off-diagonal: tensor([ 5.4098e+00, -2.3565e+00, 2.1375e+00, -1.5303e+00, 5.4326e+00,\n", + " 2.6653e+00, 3.3794e+00, 2.5149e+00, 2.7378e+00, 2.5573e+00,\n", + " -8.3340e-01, -3.4569e+00, -2.2258e-01, -2.4627e+00, -5.5316e-01,\n", + " -3.9379e-01, 2.5767e+00, -3.2219e+00, -2.7628e+00, 1.2039e+00,\n", + " 3.1580e+00, -2.4235e+00, -5.5459e-01, -8.2220e-01, -1.1991e+00,\n", + " -1.5784e+00, 2.3253e-01, 1.1821e+00, -2.5081e+00, -3.2412e+00,\n", + " -9.1381e-01, -3.2497e+00, 8.0047e+00, -5.4489e+00, -1.3657e+00,\n", + " -3.4058e+00, 4.3618e-02, -2.6919e-01, 6.9709e-02, 1.9282e+00,\n", + " -8.2027e-01, 1.1378e+00, -2.2030e+00, 3.8169e+00, -1.5222e+00,\n", + " 5.2708e-01, 2.7213e+00, -1.5804e-01, -1.7926e+00, -6.7458e-01,\n", + " -3.9837e-02, -2.7240e+00, -1.6068e+00, 1.4020e+00, -1.3658e+00,\n", + " -3.5227e-01, 3.8906e-01, 1.5199e+00, -1.5219e+00, -1.7110e+00,\n", + " 7.8942e-01, 4.7879e-01, 1.8430e+00, 2.0734e+00, -4.5239e-01,\n", + " -1.7555e+00, -3.0878e+00, -5.6006e-01, -1.3585e-01, -9.7462e-01,\n", + " 2.5394e+00, -6.5051e+00, -1.5850e+00, -8.1986e-02, -3.6340e+00,\n", + " 7.5364e-02, 2.3323e-02, -5.0638e+00, 9.3752e+00, 2.6730e+00,\n", + " -4.8874e-01, 6.4025e-01, -2.4747e+00, -1.7823e+00, -9.1593e-02,\n", + " -7.7965e-01, 5.6591e+00, -3.8323e+00, -2.0298e+00, -1.4195e+00,\n", + " -6.2768e-01, 4.0493e+00, -3.2138e-01, -1.0671e+00, 1.0682e+00,\n", + " 6.8565e+00, 4.9748e+00, -3.2068e+00, 5.4496e+00, -2.8033e-03,\n", + " -3.6221e+00, -1.1001e+00, 1.4346e+00, -7.6809e-01, 4.9448e+00,\n", + " 2.6304e+00, 6.8537e-01, -1.2727e+00, 8.8673e-01, 1.2259e+00,\n", + " -9.7530e-02, 4.8972e+00, 1.9835e+00, -3.0567e+00, 1.9151e+00,\n", + " 2.3309e+00, -2.0069e+00, -6.4053e+00, -2.1000e+00, -6.4842e+00,\n", + " 1.6885e+00, -2.2382e+00, -1.4906e+00, 1.7551e+00, -1.2747e+00,\n", + " -8.2681e-01, -2.4029e+00, 4.7710e-01, -3.3622e+00, 7.8385e-02,\n", + " -1.1262e+00, -3.8599e-02, -4.8654e+00, -6.5824e+00, -7.0692e-01,\n", + " 1.5344e+00, -1.4729e+00, 1.9749e+00, -1.6118e+00, -2.2130e+00,\n", + " 2.6464e+00, -1.0389e+00, -2.9799e+00, 2.4764e+00, -1.8658e+00,\n", + " 2.1516e+00, -3.2745e+00, 1.9874e+00, -2.1297e+00, 1.9302e+00,\n", + " 8.3467e-01, 1.2279e+00, 3.3645e-01, -1.4170e+00, -3.3533e-01,\n", + " 9.3108e-01, -3.6564e+00, -8.5537e-01, 5.9034e+00, -4.1498e-01,\n", + " -1.6407e-01, 1.7689e+00, -7.5038e-01, 7.1956e-01, 2.3514e+00,\n", + " -2.6611e-01, -1.5008e+00, 2.9730e-01, 2.8366e+00, -8.0547e-01,\n", + " 1.3469e+00, 7.3975e-01, -1.9789e+00, 1.8038e+00, 3.1107e-02,\n", + " 1.5660e+00, 3.9531e-01, -1.7827e+00, -4.5978e+00, 3.6314e-01,\n", + " 3.0618e+00, -1.5430e+00, -1.3355e+00, -4.0151e+00, -1.1331e+00,\n", + " 1.1944e+00, 7.2848e-01, 2.5606e+00, -3.9122e-01, -3.8557e+00,\n", + " -3.7839e+00, -3.3416e-01, -1.8735e+00, 1.9559e+00, -2.3395e+00,\n", + " -1.7063e-01, 3.3771e+00, -2.2266e+00, 1.4054e+00])\n" ] } ], @@ -518,9 +594,7 @@ "\n", "In the special case where only unbiased estimates (or a small number of significant digits) are required for the given use case, we can leverage [stochastic lanczos quadrature](https://www-users.cse.umn.edu/~saad/PDF/ys-2016-04.pdf) to get an improved convergence rate.\n", "\n", - "This choice is exposed to the user through the `method=iterative-stochastic` vs `method=iterative-exact` options in `logdet` and `slogdet`. If not chosen then they will be chosen automatically based on the selected `vtol` which chooses the \"variance\" tolerance specifying the standard deviation of the estimate.\n", - "\n", - "For stochastic estimation, a key (`long` for pytorch, `PRNGKey` for jax) should be provided to explicitly to seed the randomness." + "This choice is exposed to the user through the `log_alg` vs `trace_alg` options in `logdet` and `slogdet`." ] }, { @@ -533,16 +607,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "Tr(log(A)) tensor(7319.7593)\n", - "SLQ: tensor(7324.9453)\n", - "Dense: tensor(7324.8359)\n" + "Tr(log(A)) tensor(740.9275)\n", + "SLQ: tensor(740.9714)\n", + "Dense: tensor(740.9275)\n" ] } ], "source": [ - "print(\"Tr(log(A))\",cola.linalg.logdet(A, method='iterative', vtol=1e-1, tol=1e-4, max_iters=30, key=42))\n", - "print(\"SLQ:\", cola.linalg.logdet(A, method='iterative', tol=1e-3, max_iters=10))\n", - "print(\"Dense:\", cola.linalg.logdet(A, method='dense'))" + "print(\"Tr(log(A))\", cola.linalg.logdet(A, trace_alg=cola.Hutch(tol=1e-4), log_alg=cola.Lanczos(tol=1e-4, max_iters=30)))\n", + "print(\"SLQ:\", cola.linalg.logdet(A, log_alg=cola.Lanczos(tol=1e-3, max_iters=10), trace_alg=cola.Auto()))\n", + "print(\"Dense:\", cola.linalg.logdet(A))" ] }, { @@ -563,14 +637,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "iterative: (ValueError('Unknown phase'), tensor(7329.1084))\n", - "Dense: (tensor(1.), tensor(7308.6660))\n" + "iterative: (tensor(1.0000-0.0003j), tensor(727.3146))\n", + "Dense: (tensor(1.), tensor(733.4941))\n" ] } ], "source": [ - "print(\"iterative:\", cola.linalg.slogdet(B, method='iterative', tol=1e-3,max_iters=10))\n", - "print(\"Dense:\", cola.linalg.slogdet(B, method='dense'))" + "print(\"iterative:\", cola.linalg.slogdet(B, log_alg=cola.Arnoldi(tol=1e-3, max_iters=10)))\n", + "print(\"Dense:\", cola.linalg.slogdet(B, log_alg=cola.LU()))" ] }, { @@ -578,7 +652,7 @@ "id": "22384e5a", "metadata": {}, "source": [ - "## 🚧 Eigendecomposition 🚧\n", + "## Eigendecomposition\n", "\n", "Another popular linear algebra operation is to find an approximation for the eigenvalues or eigenvectors of given linear operator $A$. That is, find $V$ and $\\Lambda$ such that $AV = V \\Lambda$." ] @@ -590,7 +664,7 @@ "metadata": {}, "outputs": [], "source": [ - "eig_vals, eig_vecs = cola.eig(A, method='dense')" + "eig_vals, eig_vecs = cola.eig(A, k=A.shape[0])" ] }, { @@ -612,13 +686,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "eigmax: 2164.6376953125\n", - "eig_vals[0]: 2166.60107421875\n" + "eigmax: 331.973388671875\n", + "eig_vals[0]: 332.0385437011719\n" ] } ], "source": [ - "eig_max = cola.eigmax(A, tol=1e-4)\n", + "from cola.linalg.eig.power_iteration import power_iteration\n", + "_, eig_max, _ = power_iteration(A, tol=1e-4)\n", "print(f\"eigmax: {eig_max}\")\n", "print(f\"eig_vals[0]: {eig_vals[-1]}\")" ] @@ -637,17 +712,23 @@ "id": "7f9674f3", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "2166.601806640625\n" + "332.03857421875\n" ] } ], "source": [ - "import numpy as np\n", - "e0, v0 = cola.eig(A, num=None, which=\"SM\", method=\"iterative\", tol=1e-4, max_iters=15)\n", + "e0, v0 = cola.eig(A, k=A.shape[0], which=\"SM\", alg=cola.Lanczos(tol=1e-4, max_iters=15))\n", "print(f\"{e0[-1]}\")" ] }, @@ -685,9 +766,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.8.5" } }, "nbformat": 4, - "nbformat_minor": 5 + "nbformat_minor": 4 } diff --git a/docs/notebooks/colabs/Quick_Start.ipynb b/docs/notebooks/colabs/Quick_Start.ipynb index 0dca949b..b5f5ebf9 100644 --- a/docs/notebooks/colabs/Quick_Start.ipynb +++ b/docs/notebooks/colabs/Quick_Start.ipynb @@ -44,7 +44,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 1, @@ -75,7 +75,7 @@ "id": "b2eb2c59", "metadata": {}, "source": [ - "You can find several predefined Linear ops under cola.ops. We'll ilustrate three basic cases: Dense, Diagonal and Tridiagonal." + "You can find several predefined Linear ops under cola.ops. We'll illustrate three basic cases: Dense, Diagonal and Tridiagonal." ] }, { @@ -173,7 +173,7 @@ "id": "6bc98c38", "metadata": {}, "source": [ - "In order to make use of the benefits of CoLA, let's consider using some large structured Linear Operators. First let's start by creating some structured linear operators, such as a digaonal, a dense matrix, and a permutation matrix." + "In order to make use of the benefits of CoLA, let's consider using some large structured Linear Operators. First let's start by creating some structured linear operators, such as a diagonal, a dense matrix, and a permutation matrix." ] }, { @@ -204,7 +204,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "id": "ec6e4c9d", "metadata": {}, "outputs": [ @@ -212,7 +212,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "tensor([-0.4161, -0.2753, 1.9718, 0.0790, -0.1104]) tensor([-0.4161, -0.2753, 1.9718, 0.0790, -0.1104])\n" + "tensor([-1.9827, -0.5036, 0.7356, -0.2840, 1.3906]) tensor([-1.9827, -0.5036, 0.7356, -0.2840, 1.3906])\n" ] } ], @@ -250,7 +250,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, "id": "f2a25ebe", "metadata": {}, "outputs": [ @@ -266,7 +266,7 @@ } ], "source": [ - "D = cola.diag(torch.tensor([1, 2, 3, 4.]))\n", + "D = cola.ops.Diagonal(torch.tensor([1, 2, 3, 4.]))\n", "DT = T[:4, :4] - D\n", "print(DT.to_dense())" ] @@ -281,7 +281,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "id": "ab53f7a9", "metadata": {}, "outputs": [ @@ -289,7 +289,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Object: DenseᵀTridiagonal[slice(None, 4, None),slice(None, 4, None)]+-1.0diag(tensor([1., 2., 3., 4.]))+9.999999974752427e-07I\n", + "Object: DenseTridiagonal[slice(None, 4, None),slice(None, 4, None)]+-1.0diag(tensor([1., 2., 3., 4.]))+9.999999974752427e-07I\n", " tensor([[-0.2368, 2.4642, 5.4611, -6.3671],\n", " [ 2.7361, 0.2431, 3.1194, 2.3872],\n", " [ 0.7310, -4.6402, 0.9091, 1.7946],\n", @@ -314,7 +314,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "id": "06defdf2", "metadata": {}, "outputs": [ @@ -338,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 14, "id": "f660e95b", "metadata": {}, "outputs": [ @@ -348,14 +348,14 @@ "<2100x2100 BlockDiag[cola.ops.operators.Kronecker[cola.ops.operators.Dense, cola.ops.operators.Permutation], cola.ops.operators.Tridiagonal, cola.ops.operators.Diagonal] with dtype=torch.float32>" ] }, - "execution_count": 10, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "d = 1 / (1 + torch.linspace(.2, 10, 1000))\n", - "X = cola.block_diag(cola.kron(A, P), T, cola.diag(d))\n", + "X = cola.block_diag(cola.kron(A, P), T, cola.ops.Diagonal(d))\n", "X" ] }, @@ -385,7 +385,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "id": "4e803b0c", "metadata": {}, "outputs": [ @@ -395,7 +395,7 @@ "torch.Size([2100, 5])" ] }, - "execution_count": 11, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -406,7 +406,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 16, "id": "7f86d272", "metadata": {}, "outputs": [ @@ -414,12 +414,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Solution error: 4.37e-06\n" + "Solution error: 9.79e-06\n" ] } ], "source": [ - "X_inv = cola.inverse(X)\n", + "X_inv = cola.inv(X)\n", "v = torch.randn(X.shape[-1])\n", "soln = X_inv @ v\n", "print(f\"Solution error: {torch.linalg.norm(X @ soln - v)/torch.linalg.norm(v):.2e}\")" @@ -427,7 +427,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 17, "id": "64d99cbf", "metadata": {}, "outputs": [ @@ -445,7 +445,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 18, "id": "04d88f0f", "metadata": {}, "outputs": [ @@ -464,7 +464,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, "id": "b6432c5b", "metadata": {}, "outputs": [ @@ -477,11 +477,11 @@ " [0.0932, 0.2152, 0.3083, 0.2139, 0.0864],\n", " [0.0288, 0.0930, 0.2139, 0.3016, 0.1865],\n", " [0.0066, 0.0275, 0.0864, 0.1865, 0.2153]])\n", - "scipy expm: [[0.30850834 0.21526882 0.09323522 0.02876082 0.0066488 ]\n", - " [0.21526891 0.30850452 0.21523876 0.09302247 0.02746145]\n", - " [0.09323531 0.21523881 0.30829167 0.21393949 0.08637363]\n", - " [0.02876082 0.09302244 0.21393946 0.30164295 0.18647799]\n", - " [0.0066488 0.02746145 0.08637364 0.18647805 0.21526927]]\n" + "scipy expm: [[0.30850828 0.21526888 0.09323523 0.02876081 0.0066488 ]\n", + " [0.21526891 0.30850452 0.2152388 0.09302244 0.02746145]\n", + " [0.09323531 0.2152388 0.30829173 0.21393944 0.08637362]\n", + " [0.02876082 0.09302243 0.2139395 0.30164295 0.18647799]\n", + " [0.0066488 0.02746145 0.08637366 0.18647805 0.21526927]]\n" ] } ], @@ -493,7 +493,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 26, "id": "23e4504e", "metadata": {}, "outputs": [ @@ -506,52 +506,44 @@ " [0.0932, 0.2152, 0.3083, 0.2139, 0.0864],\n", " [0.0288, 0.0930, 0.2139, 0.3016, 0.1865],\n", " [0.0066, 0.0275, 0.0864, 0.1865, 0.2153]])\n", - "scipy expm: [[0.30850834 0.21526882 0.09323522 0.02876082 0.0066488 ]\n", - " [0.21526891 0.30850452 0.21523876 0.09302247 0.02746145]\n", - " [0.09323531 0.21523881 0.30829167 0.21393949 0.08637363]\n", - " [0.02876082 0.09302244 0.21393946 0.30164295 0.18647799]\n", - " [0.0066488 0.02746145 0.08637364 0.18647805 0.21526927]]\n" + "scipy expm: [[0.30850828 0.21526888 0.09323523 0.02876081 0.0066488 ]\n", + " [0.21526891 0.30850452 0.2152388 0.09302244 0.02746145]\n", + " [0.09323531 0.2152388 0.30829173 0.21393944 0.08637362]\n", + " [0.02876082 0.09302243 0.2139395 0.30164295 0.18647799]\n", + " [0.0066488 0.02746145 0.08637366 0.18647805 0.21526927]]\n" ] } ], "source": [ - "print(f\"CoLA exp(X): {cola.exp(T, method='iterative')[-5:,-5:].to_dense().real}\\nscipy expm: {scipy_expm[-5:,-5:]}\")" + "from cola import Auto, Arnoldi\n", + "print(f\"CoLA exp(X): {cola.exp(T, alg=Arnoldi())[-5:,-5:].to_dense().real}\\nscipy expm: {scipy_expm[-5:,-5:]}\")" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 39, "id": "32ad8a12", "metadata": {}, - "outputs": [], - "source": [ - "C = X.T @ X\n", - "# let's annotate this matrix as positive definite to speed up the computation\n", - "C = cola.PSD(C)\n", - "e, v = cola.eig(C, eig_slice=np.s_[-3:], max_iters=100)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2d0f3297", - "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([15.9803, 15.9892, 15.9981]) tensor([15.9922, 15.9965, 15.9991])\n" + "tensor([2.5006e-06, 5.9026e-05, 1.5939e-04]) tensor([-1.1555e-07, 2.6563e-07, 1.3119e-06])\n" ] } ], "source": [ - "print(e, torch.linalg.eigh(C.to_dense())[0][-3:])" + "C = X.T @ X\n", + "# let's annotate this matrix as positive definite to speed up the computation\n", + "C = cola.PSD(C)\n", + "e, v = cola.eig(C, k=3, which=\"SM\", alg=Auto(max_iters=500))\n", + "print(e, torch.linalg.eigh(C.to_dense())[0][:3])" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 40, "id": "477eae7e", "metadata": {}, "outputs": [ @@ -559,13 +551,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "tensor([-2.0163e-07, 7.4170e-07, 2.9827e-06]) tensor([-2.5722e-08, 5.0972e-07, 2.6101e-06])\n" + "tensor([15.9922, 15.9965, 15.9991]) tensor([15.9922, 15.9965, 15.9991])\n" ] } ], "source": [ - "e, v = cola.eig(C, eig_slice=np.s_[:3])\n", - "print(e, torch.linalg.eigh(C.to_dense())[0][:3])" + "e, v = cola.eig(C,k=3, which=\"LM\", alg=Auto(max_iters=500))\n", + "print(e, torch.linalg.eigh(C.to_dense())[0][-3:])" ] } ], diff --git a/docs/notebooks/colabs/all.ipynb b/docs/notebooks/colabs/all.ipynb index 0a1e56ac..9738a17a 100644 --- a/docs/notebooks/colabs/all.ipynb +++ b/docs/notebooks/colabs/all.ipynb @@ -17,695 +17,6 @@ "%pip --quiet install git+https://github.com/wilson-labs/cola.git" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "3ea9b954", - "metadata": {}, - "source": [ - "# PCA on Massive Datasets" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "14781439", - "metadata": {}, - "source": [ - "In this example we will show using CoLA to perform PCA on a massive dataset." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "ecc1dff3", - "metadata": {}, - "source": [] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "fee5fa3a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dataset (N=100,000 | D=300)\n" - ] - } - ], - "source": [ - "# autoreload\n", - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", - "import time\n", - "import torch\n", - "import cola\n", - "import jax.numpy as jnp\n", - "#from cola.fns import lazify\n", - "# from cola.algorithms.svd import randomized_svd\n", - "\n", - "N, D = 100000, 300\n", - "dtype = torch.float32\n", - "data = torch.randn(N, D, dtype=dtype)\n", - "dtype = jnp.float32\n", - "#data = jnp.array(data.numpy())\n", - "\n", - "print(f\"Dataset (N={data.shape[0]:,d} | D={data.shape[1]:,d})\")\n", - "\n", - "k = 50\n", - "X = cola.lazify(data)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "09771153", - "metadata": {}, - "outputs": [], - "source": [ - "x = torch.linspace(-1,1,100)\n", - "C = cola.lazify(torch.exp(-2*(x[None]-x[:,None])**2))\n", - "C = C+1e-4*cola.ops.I_like(C)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "cc986487", - "metadata": {}, - "outputs": [], - "source": [ - "C = X.T@X/N" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "8d85a96d", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ed9c8fe036af49149d07fe61b89de8c2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body_fun: 0%| | 0/100 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sol, info = cola.algorithms.cg(C, torch.randn(C.shape[-1]), pbar=True)\n", - "Q1,T,info2 = cola.algorithms.lanczos(C, pbar=True,max_iters=1000)\n", - "Q2,H,info3 = cola.algorithms.arnoldi(C,pbar=True, tol=1e-4,max_iters=1000)\n", - "eigs = cola.eig(cola.SelfAdjoint(C),pbar=True)[0]\n", - "\n", - "import matplotlib.pyplot as plt\n", - "plt.rcParams['font.size'] = 20\n", - "algorithms = [('CG', info), ('Lanczos', info2), ('Arnoldi', info3)]\n", - "fig, axs = plt.subplots(1, 4, figsize=(20, 5))\n", - "for i, (name, info) in enumerate(algorithms):\n", - " axs[i].plot(info['errors'])\n", - " axs[i].set_yscale('log')\n", - " axs[i].set_title(f'{name} Convergence')\n", - " axs[i].set_xlabel('Iteration')\n", - " axs[i].set_ylabel('Stopping Criteria')\n", - "\n", - "axs[3].plot(eigs)\n", - "axs[3].set_yscale('log')\n", - "axs[3].set_title('Spectrum of the Matrix')\n", - "axs[3].set_xlabel('Index')\n", - "axs[3].set_ylabel('Eigenvalue')\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "ca2a66c4", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a10876d4cfe14fe982e0a545ba36cb8d", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body_fun: 0%| | 0/100 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "Q,T,info = cola.algorithms.lanczos(C, pbar=True,max_iters=1000)\n", - "plt.plot(info['errors'])\n", - "plt.yscale('log')\n", - "plt.xlabel('Iteration')\n", - "plt.ylabel('Error criterion')\n", - "plt.title('lanczos convergence on 300x300 matrix')" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "70158579", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9af97bd24858480fb966fbeb356a6f72", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body_fun: 0%| | 0/100 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "x, info = cola.algorithms.cg(C, torch.randn(C.shape[-1]), pbar=True)\n", - "plt.plot(info['errors'])\n", - "plt.yscale('log')\n", - "plt.xlabel('Iteration')\n", - "plt.ylabel('Error criterion')\n", - "plt.title('CG convergence on 300x300 matrix')" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "2eb87a53", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Error criterion')" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- ], - "source": [ - "%debug" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "f234d69e", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0262076885f84b31bdda02083c47b318", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body: 0%| | 0/100 [00:00]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.plot(S)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "5d43e8c2", - "metadata": {}, - "source": [ - "$X X^{T}$" - ] - }, { "attachments": {}, "cell_type": "markdown", @@ -715,13 +26,6 @@ "# Accessing Lower Level Algorithms (CG, Lanczos, Arnoldi, etc)" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "ecc1dff3", - "metadata": {}, - "source": [] - }, { "cell_type": "code", "execution_count": 1, @@ -736,7 +40,10 @@ "import time\n", "import torch\n", "import cola\n", - "import jax.numpy as jnp" + "import jax.numpy as jnp\n", + "import warnings\n", + "\n", + "warnings.filterwarnings('ignore')" ] }, { @@ -744,19 +51,22 @@ "id": "4da71ef4", "metadata": {}, "source": [ - "Lets construct a simple example matrix with a rapidly decaying spectrum, such as an RBF kernel." + "Let's construct a simple example matrix with a rapidly decaying spectrum, such as an RBF kernel." ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 2, "id": "09771153", "metadata": {}, "outputs": [], "source": [ - "x = torch.linspace(-1,1,3000)\n", - "C = cola.lazify(torch.exp(-(x[None]-x[:,None])**2/2))\n", - "C = C+1e-4*cola.eigmax(C,tol=1e-2)*cola.ops.I_like(C)" + "from cola.linalg.eig.power_iteration import power_iteration\n", + "N = 3_000\n", + "x = torch.linspace(-1, 1, N)\n", + "C = cola.lazify(torch.exp(-(x[None] - x[:, None])**2 / 2))\n", + "_, eigmax, _ = power_iteration(C, tol=1e-2)\n", + "C = C + 1e-4 * eigmax * cola.ops.I_like(C)" ] }, { @@ -764,19 +74,19 @@ "id": "29fbec4a", "metadata": {}, "source": [ - "We can run CG, GMRES to perform solves, or lanczos and arnoldi for decompositions to compute $f(A)v$ for a vector $v$ or for estimating the extremal eigenvalues." + "We can run CG, GMRES to perform solves, or Lanczos and Arnoldi for decompositions to compute $f(A)v$ for a vector $v$ or for estimating the extremal eigenvalues." ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 3, "id": "8d85a96d", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b588cecf90294d5298954fd1aba362a3", + "model_id": "658fbbe35b444254befbfc8c4eb1b4b0", "version_major": 2, "version_minor": 0 }, @@ -790,7 +100,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5b03fd2e92ad450f9438b8ac42b42213", + "model_id": "3cce773f90b442a880968a68e32484fd", "version_major": 2, "version_minor": 0 }, @@ -801,10 +111,17 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fa63fc1ad4a04e1b9e2792ad22f3b814", + "model_id": "b0ae4215441046faaade8916d4dceca3", "version_major": 2, "version_minor": 0 }, @@ -815,10 +132,17 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ac7e706ff8324d9b92c47831165b777b", + "model_id": "227d9bc1fb434f51a1129bdd5a45a46e", "version_major": 2, "version_minor": 0 }, @@ -832,10 +156,10 @@ ], "source": [ "y = torch.randn(C.shape[-1])\n", - "sol, info = cola.algorithms.cg(C, y, tol=1e-4, pbar=True)\n", - "sol1, info1 = cola.algorithms.gmres(C, y, tol=1e-4, pbar=True)\n", - "Q1,T,info2 = cola.algorithms.lanczos(C, pbar=True, tol=1e-4, max_iters=1000)\n", - "Q2,H,info3 = cola.algorithms.arnoldi(C, pbar=True, tol=1e-4, max_iters=1000)\n" + "sol, info = cola.CG(tol=1e-4, pbar=True)(C, y)\n", + "sol1, info1 = cola.GMRES(tol=1e-4, pbar=True)(C, y)\n", + "Q1, T, info2 = cola.Lanczos(pbar=True, tol=1e-4, max_iters=1000)(C)\n", + "Q2, H, info3 = cola.Arnoldi(pbar=True, tol=1e-4, max_iters=1000)(C)" ] }, { @@ -848,7 +172,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 4, "id": "ea06f394", "metadata": {}, "outputs": [ @@ -856,9 +180,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'iterations': 13, 'errors': array([1.56363926e+01, 4.05478191e+00, 1.60241783e-01, 1.88410982e-01,\n", - " 3.71066853e-02, 2.52811611e-01, 2.25780299e-03, 2.09524352e-02,\n", - " 8.54305644e-03, 1.05140622e-04, 9.50152207e-06, 9.50152207e-06]), 'iteration_time': 0.004091776334322416}\n" + "{'iterations': 9, 'errors': array([2.55869064e+01, 1.55503988e+00, 7.40348101e-02, 4.77714449e-01,\n", + " 9.47988685e-03, 1.06564164e-01, 1.37272538e-04, 1.37272538e-04]), 'iteration_time': 0.004042996300591363}\n" ] } ], @@ -876,13 +199,20 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 5, "id": "3056bb0e", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { - "image/png": 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", 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zZg332po1a0TWmctPNVzZuoyo85IkspTLotJ8/PgRa9asQfv27WFiYgItLS04OTlhyZIlSElJEcrj3bt3WLZsGdq3bw9jY2Po6+ujXbt2WL9+vcLOP1WpS/OX2dOnT+de37t3r9T/nTRVOS5EycnJwY4dO9C9e3dYWFhAU1MTTZo0wYQJEwRm1ZWVMsuLBg0aYODAgQCAO3fu4PXr12LTRkdHc/s3cOBA7mZWWeTm5uLUqVOYP38+971paGhAT08Ptra2GDVqFHbv3i1xxic/Pz/weDzY2dlxr8XGxoptF+Mn7prw/PnzmDBhApo1awY9PT3weDz8/vvvQp8p7tj477//uPfV1NRw584did9DQUEBOnbsyG0zdOhQyV9ceYwQJdi3bx8DwP0FBgbKLe83b94I5L1p0ya55V1ZM2bM4OIxNDRk2dnZcv+MrKwsNm7cOIF9F/XXsGFDdv78eYl5/fDDD1z6H374gb17945169ZNYr7Tp09nxcXFIvNr0aIFl+7o0aMy7c+RI0e4bZo3by423ePHj1m7du2k7nfz5s3Zs2fPxOYTHR3NpbWxsWH5+flszpw5IvNasGCBwLZxcXGsQ4cOEj9/xIgRLCMjg/Xs2ZN77caNGxK/gxs3bjB7e3up+9alSxf27t07ifmUpe3ZsyfLz89ns2fPlphnhw4dWGJiosT4GGOsuLiYrVmzhuno6EiNU0VFReL/QF77S0htwX8++OGHHyqdz9u3b5mpqanU3w4AZmpqyi5fviwxv/Lnw5KSErZq1SqmoqIiNl87Ozv2+vVrmeL9888/mbGxsUzxXrhwQWBbGxsbmbYr/7dnzx6RsURGRrL27dtL3b5jx45S9+/OnTusUaNGMsdUWFgo0/clSmxsLOPxeFxeP/74Y6XzksTf359ZWlpK3ZeJEydKvbbhT89Y6XGgqakp8VgNCQkRmRf/NULLli1l3h9nZ2duu4MHD4pMU1xczFauXMm0tLQk7rOamhpbtmwZKykpEft506ZNEzgGAwMDWZMmTUTml5qaKrDtb7/9xjQ0NMR+vqGhITtz5oxQGS9JXl4emzNnDlNVVZW4b9ra2uyPP/6QmFf565nAwECJx7+qqirz9fWVmGeZ8PBw1qlTJ5l+R+PGjauW/SVEVrdv3+aOLS0tLZaens4YYyw4OJh7XV1dnSUkJEjNq7L1E3meb/kVFhayr7/+WupvysjIiPn5+UnMqyLnrufPn7PmzZtL/Mwvv/ySFRQUCFwnREdHi8yvIvUxaRTZrsHvxx9/lFouaWlpsY0bN0rMR971wrlz53LpvvrqK5n25cOHD9wxpKKiIrZel5KSwkaPHi21HDAyMmLHjh2T+Jnlj4udO3eK/D7btm0rsF1+fj6bPHmyxM9v0aIFe/HihVAbiiRv375lvXr1krpvVlZW7Pbt2xLzUtTvnTHGjh8/LvO17Z9//lkt+0vqnyFDhnDHyNixY+WWb/my4PTp08zQ0FDs8amtrc127twpU96KOOYrW4fm309pf9OmTRP4zMrWZcqfl6SRpVwun+bSpUsS20BsbGxYTEwMt/3u3bslnhtbtmwp07VZRVS1Ls1fZlf0fyeNPI+LZ8+eCbT7i/pbtWqVTHEpo7zgv94GwHJzc9nRo0dlin316tVcumPHjrHc3FyBvMRdi967d4/p6enJ9P3b2tqyhw8fisxnz549Mv8fy/8ey18TpqWlsVGjRonc7rfffhP5meKOO/5+MDs7O64+JMqiRYu4tBYWFhX+HZaOsSekml2/fp17bG1tLfUu5Yoof5fXuHHj5JZ3ZfHv74gRI6CjoyPX/HNyctC7d28EBwdzr1lZWcHd3R16enqIiopCYGAgiouL8fHjRwwfPhyHDh2Saa3NrKwsDBw4EOHh4dDR0YG7uzuaNGmCzMxM3LhxAwkJCQCAPXv2oHnz5vj++++F8pg8eTI37emBAwcwZswYqZ974MABge1FuX37NoYNG4aMjAwApVOAuLi4oFmzZlBXV0dMTAwCAwORl5eHly9folu3brh79y5atGgh9fO//fZbbmr71q1bo23btlBXV0dkZKTAFDDJycno3bs3Xr16xb1mb2+Pzp07Q1NTExEREbh//z5Onz6NGTNmSP3cMseOHcOkSZO4O+W1tbXRpUsX2NraQkVFBZGRkbh79y6Kiopw7949dO3aFSEhIWLXb+f3xRdfYO/evVBRUUHnzp3h5OSEkpIS3Lt3Dy9fvgRQOuJ+6tSpOH/+vNh8iouLMWbMGJw8eZJ7TUNDA127doWtrS3U1dURHx+PBw8e4OPHjygpKRF7x5ki95eQui47O5sbJWVsbIyWLVvCxsYGenp6KCgoQHR0NO7du4e8vDwkJydj8ODBuHXrFrp16yZT/mvWrMHatWsBAO3atUPr1q2hrq6OR48e4eHDhwBK71gdOXIkHj58yE3hJMr8+fMFptJWVVXlzttaWlpITEzEo0ePuFE15Wf7mDZtmkwjwpKTk3H48GHuuai7xiMiItCzZ08kJiZyr7Vu3Rrt2rUDj8dDWFgYnj59CgB48OABunXrhtu3b4ucCi8uLg4DBgxAZmYmgP+VRw4ODtDR0UF2djZiYmLw+PFjrsyqihs3bgiMJlfE9FdHjhzBpEmTUFxcDKD0f9W9e3c4ODggKysLAQEB3IjXgwcPIjo6GtevX4eWlpbUvP38/DB37lwAQPPmzdGpUydoa2vjxYsXCAoKAmMMycnJGD58OCIiImBoaCiw/fDhw2FgYICMjAw8e/YMjx49EjvaqkxYWBieP38OANDX1xc5ZWxxcTHGjRuH48ePc681atQIrq6uMDc3R1ZWFu7fv4/Xr1+jqKgI69evR2JiInx9faXuc1RUFL755hukp6dDX18fPXr0gJWVFVJTU3H79m2BtNu2bcO3337LPdfU1ETPnj1hbW2N1NRU3Lp1C0lJSfj8889lHrmenZ2NAQMGCNw5b29vj44dO8LY2BgpKSkICgrChw8fkJubi6+//hoZGRlYtmyZ1LzDw8OxdOlSZGVlcSO5TE1N8f79e1y/fh25ubkoLi7Gl19+idatW6NLly5i87p58yaGDx/O/ZaA0rqCq6srTExMkJ2djZcvX+Lx48coLCwUOyOQIveXEEn4R2WPGDECBgYGAAAXFxc4OTnhxYsXKCwsxMGDB7FgwYIK5S1r/YRfVc+3ZUpKSjB69GicOXOGe83ExAS9evWCiYkJ4uLicOPGDRQUFCAtLQ2enp5IS0ur8D6WFxsbiz59+uDjx4/cay1btkSHDh3A4/Hw8OFDhIeH46+//pJ7HVsWimzXKDNv3jz4+Phwz/X09ODh4QFLS0vEx8fjxo0byMrKQl5eHpYsWYL4+Hj89ttvMuVd1Xrh5MmT8eeffwIoXXNy69atEq8DAeDw4cPctYWHhwcaNWoklCY+Ph69e/dGREQE91rLli3Rtm1b6OnpISEhAQEBAUhOTkZaWhrGjh2L/fv3Y9KkSVL3+dixY1i8eDGA0jYTNzc3GBoa4sOHD0Ij/SZMmIATJ05wz8sf87du3UJERASGDBmC4cOHS/1soPT6k/+Y5vF46NChA5ydnaGtrY3379/j9u3byMzMxIcPH9CvXz9cuHABHh4eUvOW1+8dADZv3ozvvvuOu97k8Xho06YNWrZsCT09PaSkpODp06fccSKuPFbk/pL6gX/2Sn9/fzx//hzOzs5y/YzQ0FAsX74cBQUFMDU1Ra9evWBsbIyYmBjcunULhYWFyM3NxZw5c6CqqoqZM2eKzUsRx3xV6tCjRo1Cq1atEBwczM2I6eLiAldXV6HPkXSNXpG6jKI9evQIy5YtQ25uLho3bgw3Nzfo6+sjMjISAQEBYIwhNjYWgwYNwtOnT3HkyBHuf9asWTO4urpCS0sLT58+5drRnz17hilTpuDixYtyiVEedelGjRrBy8sLQOmMXmUzwjo5OaFPnz4CnyfpfyeKvI6LDx8+oG/fvvj48SOMjIzg7u4OS0tLJCUl4fr160hPTwcArF27Fs7OzhL7aGpSeTF8+HAYGRkhLS0N//77Lzc7S3llszUZGxtj2LBhMs/4l5qays2q2KBBA7Rs2RKNGzeGrq4ucnJyEBUVheDgYBQVFSEmJgY9e/bEw4cP4eDgIJBPixYt4OXlhczMTC4WfX39Cq/9zRjD5MmTcfbsWfB4PHTq1AnOzs5gjCE8PFzmWRjKbNu2DQEBAXj16hWio6Px1Vdf4d9//xVKd/XqVWzevBkAuBkiKjL6vSx4Qqod/+jMMWPGyDXv6dOnc3lbWlrKNe/KiIuLE7jbxcfHR+6fwX/HtKqqKvv999+FRlFHRkayjh07cukMDAzE3kHEf9dx2Z1t06ZNY8nJyQLpsrOz2YQJE7i0enp6LCsrSyi/mJgYboSZhoaGUD7lJScnM3V1dQaA8Xg89ubNG6E0Hz9+ZA0aNOA+e+rUqezDhw9C6eLj4wXuPGrdujUrKioSSsd/p1bZneRNmjQReSdYXl4e95j/Tm4tLS3277//CqV/+PAhc3BwEPg+AfF3JIaHhzNtbW1u/xctWiQ0oosxxl6/fs26d+/O5Tdo0CCR+fHfjVX2+S4uLiwiIkIgXUlJCfv9998Fjtdbt26JzJMxxr7//nuBtPPmzWNJSUki096/f59NnTqVhYeHK3x/Cakt5DVyOyYmhn399dfs/v37YmfQSE9PZ97e3tznOTo6ik3Lfz7U0NBgPB6P2dvbs/v37wulPXr0KHe+BsD27t0rNs4///xT4JwxduxY9vbtW5Fpnz59yubPn88uXbokwzcgqKCgQOBuXycnJ5aWliaQJj8/n7Vt25ZL06BBA3blyhWhvC5dusTMzMy4dB06dGAFBQVC6b755hsujbu7O3v//r3I2AoLC9nNmzfZpEmTRJZFspo5c6ZA7PIWFRUlcCexq6sre/XqlUCa4uJitnnzZoER/V9//bXYPPn/95qamszc3FxoZD5jjN26dYsZGBhwadesWSMyP/7rPW9vb6n7tHDhQql3GK9cuVLgGvL48eMiR2YfPXpUYGTHkSNHRObHf1e7mpoaA8C8vLxYZmamQLqCggLu9/j8+XOBEdv9+vUTur4pKChgS5cuFbqukDT6cerUqQK/f1HXIEVFRWzHjh1cnqqqquzOnTsi8+M/f2lqajJVVVW2efNmoRkJ3r59y1q1asWl9fDwEBvj27dvBX5vdnZ2Io8RxkpH9P31119s0aJF1bK/hMgiJydH4Px19uxZgfd/+ukn7r327dtLza+y9RN5n28ZY+znn38WyHfJkiUsPz9fIM3Hjx9Z//79Bc579+7dE5mfrCO3+/Tpw6UzNDRk/v7+QmnOnz/PjWbjvyapjpHbimzXYExwphIAzNPTU2j0S3p6utDo4uPHj4vMTxH1wqZNm3JpRP1/yuOf8UzUzDrFxcXMw8ND4BpE1Iil3Nxctnr1aq6dQVdXV2S7AWOCI7fV1NSYhoYG8/X1FSrj+X9Hu3btEth/b29vgfcZY+zTp09s0KBBQuWxuOv6rKwsgdFtgwYNYlFRUULp0tPTBdp4GjZsKHQtW0YRv/dz584JzBDUu3dv9vz5c5Fp37x5w1auXClytgZF7C+pf65fvy5wnJuamrJNmzZVeTY//rKg7Np70aJFQr/zuLg45u7uzqXV0dEReRwzpphjXl516IrMLlGmMnUZxhQ/cltTU5Opq6szHx8foTaNmzdvMl1dXS7t+vXrmZ6eHjMwMGD//fefUL5HjhwRmJFGUhuorBRRl5ZltGxlVPW4KCv7vv/+e6HR58nJyax3795c2qZNm4qd9UyZ5YWokduMMfbFF19wr4m69g4ICODenzNnDmOMVWjk9rJly9jTp0/FxvXp0yc2ZcoULq8+ffrItA82NjYy7Tf/NWHZ77t169bsyZMnQmn5z4uyHoshISEC1+Xl+0uSkpKYlZUV9/78+fNlirs86twmSlH2owHAVq9eLde8+SvAkhrQqgv/yQ4Au3nzplzzj4qKEigMt2/fLjZtSkoKs7W15dJOnz5dZDr+wg0AmzBhgtg8c3NzBaalOXz4sMh0PXr04NL89ddfEveJ/+Kte/fuItPwT3Eh7QRYVFQkUKCKirF8Yaajo8NevnwpMd/nz58LbHPo0CGxaWNiYgQqk5Iu2vhj3bJli8QYsrKyBKZZFdWAVH4qm2bNmgldjPL7/PPPubRffvmlyDQvX74UOO42bNggMU5J5L2/hNQW8urcrogvv/yS+0xxS1SUPx+ampqK7axlTHAaoYEDB4pMk5KSwvT19aWeW+SBf3pNExMToYokY4z9888/XBp1dXWx0zwxVjqVLP91i6gOfP6bx0R9nrzxX+v06tVL7vnzdww6ODhIrDBu2bKFS6uioiK2YZn/mNLU1GSPHz8Wm+f27du5tE5OTiLT8Dd0WVlZib1Zg7HSxgP+itPVq1eF0kRHR3MNGyYmJmIbrUR9fosWLURW1Pkr/gDYrFmzJObJGBNYYqZt27Zc5VqU+fPnC+QvroOIf5pke3t7qcuO8FdYxf2my09lJ2maxqdPn3KN5DweT+TNiIwxNmnSJIFKeXx8vMQ4xVHE/hIiiwMHDnDHkrm5udDNHvw3/AIQ2XjErzL1E8bkf75NT08XaKQVd1MJY6WNXy4uLlLr47J0bl++fJlLw+Px2PXr18V+7u3btwW+W6B6OrcV2a5RXFzM7OzsuPzHjBkjtlG4pKSEjRgxQuDcJ6pcVES9cNWqVVya8ePHS9yniIgILq22tjbLyMgQSsM/1XuXLl1YTk6OxDz52y7ExVh+WRtRN6TzKyoqEpiOu6zRWpT8/HyBY17Sdf3atWu5NKNGjZJ47cKY4HWEuCnn5f17LywsFGgzGjp0aKWX0lHE/pL6adiwYQLHelm50Lx5czZlyhS2detWdv/+/Qodq+WvZSXVTzMzM5mTkxOXdsqUKSLTyfuYl2cduqqdmLLWZRhTfOc2ALZr1y6x+f34449Cx8q1a9fEpp81axaXdu7cuTLFLIki6tI1tXMbAFu6dKnYtPHx8QI3G4hrw1VmeSGuczsoKEjisc/f7lR2g7SsndsVUXYTHQCxN5pVtXMbKL25X5blSStyLG7YsIFLa2hoKPB98F+3tm7dWmK7hyTUuU2qXXp6usCP5/fff5dr/vxrZ44aNUpq+sjISObl5SXxryodaKdPnxbY30ePHlU6L1H4R8+2a9dO4tqPjAne/a2pqSmykOUv3DQ0NNjHjx8l5rl48WIu/cKFC0Wm8fX15dKI67Au4+bmxqUV1RGekJDA3VlpaWkp0wnw7t27XJ7Dhg0Ter98YbZ48WKpefJ36HTr1k1q+jVr1gh8hqiLtkePHnHvt2/fXur/kzHGDh06xG0j6k6/8gWWuDv5y5w/f55L26FDB5Fp+DvIunTpIlOcoihifwmpLZTRuX3//n2p5+vy58PNmzdLzJP/Rh9TU1ORaTZu3ChwsV3+jnh5+e2337jPUVdXF1s57ty5M5dOljtE+e8O7tKli9D7zZo1496vjpEm/Nc6I0eOlGveqampAqOPTpw4ITF9cXExa9myJZd+yZIlItPxH1PSzt0ZGRlchwGPxxO5RlNJSQlr3Lgxl6eoDusyV65c4dI1atRIZGWZf/S9rNemAwYM4LZ58OCB0Pv8lW4tLS2WkpIiMb+UlBSBUduXL1+WmD4jI0PgxjlxHUQjR47k0pw6dUqmfStrwOPxeCJnZeE/f7Vu3Vpqfq6urlz6M2fOCL3/7t07gU4icSO2ZaGI/SVEFvyjlsWVLfy/HWmzTlSmfsKY/M+3/DceW1hYSO1s5L/WAMBevHghlEaWzu2xY8dyaWQZFT1x4kSBz1V057ai2zUuXLhQoTr5u3fvBEbIXLx4USiNIuqFkZGRXBodHR2RHdZlli9fzqUV1xHerl07Lo0sbSe5ubnMyMiIAaUNp6LKeP7ObVdXV6l5nj17lkuvq6srclYxfrdu3RL4XkVd1xcUFHAzz2lqarJPnz5JjeP9+/fcTRviylp5/94PHz4ssO+yNHSLoqj9JfVTZmam2LVg+f90dXXZuHHjJN4MVYa/LNDX15dahztz5ozAdX359Io45uVZh65qJ6YsdZky/P8TWVS0c7tt27YS83v9+rVADNLqy9euXePSduzYUaaYxVFUXbqmdm6bm5tLbZPnv57btm2b0PvKLi/EdW4zxrhZWA0NDQVe57/2aNasmcDrslyLVgR/P46o76/8PlS2c3vHjh0ybVeRY7H8bDxubm6sqKhIoG6hpaUlcQS7NKIXZiJEgfjX0ANK14xSVP66urpS079//x4+Pj4S//jXeqpKPID895d/nS9PT0+p6yCMGjUKJiYmAID8/HzcvXtXYvru3bvD0tJSYpr27dtzj8vWeClvzJgx0NTUBAAEBQUhNjZWZLqYmBjcuXMHQOn6zWPHjhVKc/XqVW7t5s8++0ym9T07d+7MHQ+BgYFS048fP15qGv713cWtC85PljT8a5lNmDBBpnUtevfuzT2Wtm9aWloYNmyYxDSy/D/516GZN29ehdffKKPo/SWkviksLERgYCB8fHywcuVKfPPNN5g3bx73x79m46NHj2TKc8yYMRLfd3Jygra2NoDSta7Ll3uA4Dlj9uzZXHkgTxcvXsSiRYu45zt27ECvXr2E0mVmZiI0NJR7PmPGDKl5z5o1i3scEhKC7OxsgfebNGnCPf7rr78qEnal8H/H8r6uuHPnDvLz8wEAZmZmUssMFRUVge/wxo0bUj9D2jGlr6/Pra/H/n/NtPJ4PJ7AWuMHDhwQmx//exMmTBC5Ni1/eSTrGuYVKY/69+8PY2NjiWnu3LnDXd9YWloKraVWnr6+PkaMGCExTVFREa5cuQIAMDAwwNChQyWmL1O2dhljTGDdalGk/T8B6dcWV69eRVFREYDStfAGDhwoU5zlVcf+EiLK+/fvcfXqVe75lClTRKbjXwPvwIED3FqMspClflKePM63/PXNCRMmcGW+OK6urmjdujX3XJZyQRT+7WRZO3DatGmV+pzKqs56/uDBg6XWyRs1aiRw7pT2vcurXli2fikA5OTk4OTJk2LzO3jwIPdYVN3448eP3PWps7Mz2rZtKzE+oHQ/unbtCgBIT09HeHi4xPQVrecPGTIERkZGEtP36NED1tbWEtOEhoYiISEBANCnTx80aNBAahxWVlZwcnICAISHh3Nrl4ojj987/zX7hAkTYGZmJjVOUapjf0n9oaenhxMnTuDcuXPo16+fyGt5AMjOzsaRI0fQu3dvjBgxAqmpqTLlP3z4cIlr0AOl5+GytWDz8vKE2lIVccxXRx1aVrLUZarL559/LvH9pk2bCvQHSEvfqlUr7nF0dHSVYquOunRNMmzYMKlt8tKuJWpyeVF2PZ+eno7Tp09zr58+fRppaWkCaSorJycH169fx9atW7FixQosWLBAoA3v0KFDXFpZ2/AqQ9J66JWloqKCffv2cf1QQUFBmD17NhYuXMil2bRpk8BvsKLUqhwlIRWkr68v8DwrK0th+ZdvfFYGRe4vY0zgxNatWzep26irq8PV1ZW7SHr48KHEBkT+hglxTE1NuccZGRki0xgZGWHIkCE4ceIEGGM4cOAAli1bJpTuwIEDYIwBKK1Iirp44r+IfPLkCebNmyc1Rn6pqanIzs4We/ODurq61P1mjOHJkyfc886dO0v93KZNm8LMzAxJSUli0/Dv240bN8TeBFA+ljJxcXES0zZv3hzq6uoS00j7f3769EnggqSsQbgyFL2/hNQXubm5WL9+Pf766y+J5xh+sqQzNDQU6LgVhcfjwdjYGLm5uQBKzxvly7779+9zj6tyzhDn+fPnGDduHNdJ8O233wp0SPN78uQJl05PTw9t2rSRmn+7du2gq6uL7OxsFBcX4/HjxwJl7tixY7lG6CVLluDKlSuYNGkS+vXrh8aNG1d194Twf7/yvo4KCwvjHru6ukJNTXp1wc3NTWB7xpjEm5XkdW0xefJkbNq0CQBw/Phx7NixQ6hynZubixMnTnDPRVU+k5OTERkZCaD0xro1a9ZIjQ8oPe7KSCuPOnbsKDU//ms6FxcXsQ13/Dp37oz9+/eLff/Jkyfc9bC6ujoWLFggNU+g9CaOMtL2TR7/z3v37nGPRd2UIqvq2F9CRPn3339RUlICoPSmr06dOolM9/nnn8PLywt5eXmIj4/HpUuXMHjwYKn5y1I/EUUev0/+ckGW+iZQWi48ffoUQGl9s6Lev3+PxMRE7nmXLl2kbtOlSxfweDyBuoIiKbpdo7Lfu7+/PwDp37s86oVlJk+ejODgYAClvwVRNyMEBQVxnQbm5uYYMGCAUBr+umFubq7M9fzXr19zj+Pi4iRe21W0PJalng+UXjO9fftW7Pv8+/bu3TuZ962s8Zwxhnfv3knsgJN3eSyver6i9pfUP4MHD8bgwYORmJiImzdv4s6dO3jw4AHCwsKEzsFnzpyBu7s77t69K3S+Lq/sBhlJVFVV4eLiwt0QGxYWJtCWqohjXtF16IqQ5dxZXWTpCDMyMuLqBC1btpSYtqzjDZBc1smiOurSNYk8yp2aXF5MmTIFq1evBmMM+/bt4zqA9+3bB6C0LayyndspKSlYtWoV9u3bJ3KAiCiytvVVlJ2dncDvQJ4aN26Mv//+G6NHjwYA7Nmzh3tv0KBB+Prrr6uUP3Vuk2pnYGAANTU1bnRG2clIXvh/jLLk3atXL5EVYFtbW5k62ioSj6wxySo9PR2FhYXccxsbG5m2s7W15R5LOzHKUjjwV4r54ylv8uTJXAOzpM5t/vSifPjwgXscGBhYqdG7qampYju3jY2NpV6ApKenc6OrAEjt/CnTuHFjid85/75duHBBpjz5SbsztaL/z7LfKb9Pnz5xjzU1NWFlZVWBCAUpen8JqQ9SU1PRu3fvCt/FKcsFtKwVBEnlQEZGBtfxDZTe6CNPycnJGDZsGFdRGjx4MH799Vex6fkby5s0aSJTxVFFRQVNmjTBixcvAAiXnbNmzcLFixdx6tQpAMC1a9dw7do1AIC1tTXc3d3h4eGBESNGVHoEDL+KXutUBP/3U5nrioKCAmRmZsLAwEBsenldW7Ru3Rpt2rTBkydPkJGRAX9/f6FRS/7+/tyxUZa+vI8fPwrEzz/DgayklUdlIz0kKX9sykLazRP85WxycrJC9k0e/0/+a4uqnCOqY38JEWXv3r3cY0mNXAYGBhgxYgSOHDnCbSdL57Ys9RNR5PH7rGq5UJmGOP7P1NHRkansNDAwgKGhodzLRUmfp8h2DUV/7/KoF5YZP348Fi5ciKKiIly/fh3x8fFCI8356/njx48XeTzzn8Ojo6PrbHn85MkTgRvlZVVby2NF7S+pv8zNzTFmzBjuur+oqAj37t3Dnj17sG/fPu589ezZMyxfvhzbtm2TmJ+0mRdEpeM/TwDyP+YVXYeuKFnOndVFlnMdfxkjLT1/WkllnSyqoy5dk8ij3KnJ5YWdnR26d++OgIAAXL58mSsjL1++DABwd3cX+P/JKjY2Fj169JB4U5wosnaCV5Sif9+fffYZZs2ahV27dnGvNWjQQKCju7JoWnKiFPwneP5RL/LOuyrTictL+ZOcPPe3/J2JskzDXj6dtBOjPO8WGzJkCNcg//z5c4E72oDSu8vL/mfGxsYYMmSIyHzkMd2IpAsWaVPtAcLfvY6OjkyfK226uqrum7SpDeXx/5TndLiK3l9C6gMvLy+uY1tDQwOzZs3C6dOnERkZiczMTBQVFYExBsaYwDRbZSPMJJH3OQOQ77SdhYWFGD16NN68eQOg9K7sw4cPSxzxyn/+lrXcLJ+2/D6pqqrixIkT2LVrF5ydnQXee/v2LQ4cOIBZs2bBysoKs2bNQkpKisyfKwr/tYW8r6Mq8/2UT1ed1xb8nUj//vuv0Pv8r4nrcFL0dQVQ8WuLmnJdAUjft5p0bVEd+0tIeSEhIVwdhsfjYdKkSRLT85+Lzpw5I1OnqCznEFHk8fusarlQmYa4ypwPy39udVBku4aiv3d5lsX8I7GLi4sFptAESq/Xjh49yj2n8rhyqDwmRDQ1NTV0794du3fvxq1btwSO3b///lugk1gUWX/nks6x8j7mFb30RUVV9jpEESp6rqvOUdDVUZeuSeTx3db08qJs2ZuioiIcPHgQBw8e5D6vskviTJw4kevY1tfXx7fffouLFy/izZs3yMrKQnFxMdeGxz9VvSxteJVRHb9vCwsLgeddu3YVeq0yqHObKEX37t25x/zTrMiDu7s79zg+Pr7Cd8HIW+PGjQUqvfLc3/IXN7JOw86fTtr0PPKkoaEhMKKq/PqY/M/51+guj7/g37JlC3fCr8hfZe6s4lf+u8/JyZFpO2n/I/59K5vCvaJ/iibP6XBrw/4SUpO9f/8ehw8fBlA6uvjixYv4+++/MXz4cDRr1gx6enpQVVXl0iujoqTIaTvnzp2LW7duAShd08rf319qucZ//q7I8iXSyk4ej4eZM2fi2bNnePnyJXx9fTFt2jSBu+wLCwuxe/duuLq6Ct3tXxH811EJCQli18GsjMp8P+XTVee1xcSJE7mbGS5cuCBw40BycjK3DIuKiorYtbT5yyIDA4NKlUV+fn5V3hf+714R1xVt2rSp1L6tXr26UvtTEfK6tqgt+0vqFv5R22X1DB6PJ/aPfy34vLw8bhR3TVXVcqEyZUJlzoflP7c6KLJdQxnfe1Xwz7pWvp5/8eJFJCcnAyidDt3FxUVkHvzn8OHDh1fqHO7p6VnlfVF0eTx//vxK7VtVlu2QlSLK45q8v6Tu6datm8AskXl5eQLLz4hSmd95+XOsvI95RS99UZMoqsNOGWpbXbomqOnlxZgxY7jO33379nHX/dra2kKzxsnizp07uHPnDoDS4+XevXvYsmULBgwYADs7O+jq6goM1qhNNzuIExAQgI0bNwq8dvr0aaHrxcqgzm2iFL179+Yex8bGcj9qeSh/Qitr9Fcm/v09ffp0hSrokhgaGgpM7yFrRz5/I7g8pketCP5K76FDh7iLmJKSEoE7vCVN58d/Z098fLwCopSu/Hf/7t07mbaTlq4m7Js0/DHm5+cLTOdalbxq6v4SUpNdv36du8lj0KBBUtfiksdyGxVlYGAgcCco/+jxqtiyZQt2794NoPTmqZMnT8LOzk7qdvxTLr17906mm2RKSkoE1uGVVnY6Ojpi9uzZ8PPzw+vXr/Hy5UssXLiQu9Hg9evXMq/rLIqHh4fAXdIHDx6sdF7l8X8/lbmu0NDQqNYKuZWVFXfclx8ZdvToUW7qMw8PDzRq1EhkHvxlUUZGhtyu0yqK/7iqT9cVgGCcVTlH1Jb9JXVHQUGB0CjViuLvHK+JqlouVKa+yf+ZOTk5XMeoJJmZmXIZ/VMRimzXUMb3XhUjRozgyv8HDx5wS7kAgrOoiFt6DKg553Aqj0tReUxqK/61sAFIbbOS9RwrqT4o72NeUXXo6lDRab6ru+xWpNpWl64Janp5UbakEAA8evQIjx8/BgCMHDmyUv+rsuXrgNKR3+Vn/itPGW148pSeno4pU6ZwM686OTlx73l5eVV5/6hzmyjFmDFjBC4EtmzZIre8bW1tuSmxAOCvv/5CXl6e3PKvjLlz53KP09LS8M8//8glXx6Ph3bt2nHPZalMFxUVCdy12KFDB7nEIis3Nzeu8+HDhw/c9BrXr1/nLjjt7Ozg5uYmNo/OnTtzj4OCghQYrXg8Hk9g3U5Z7tSPiYmROlKvJuybNBYWFgIj369fv17pvGrD/hJSk/GvT9S6dWup6W/fvq3IcMTi/61X5ZxR5vz58/juu++4576+vgKjpyRp06YN18mcmZmJp0+fSt3m8ePH3B3VqqqqaNu2bYXidXR0xObNmwU6tM+cOVOhPPjZ2Nhg0KBB3POdO3fKrUO2ffv23OPg4GCZln/gv/5o3759tU79BogfLcb/WFJjesOGDQXW1JRn50RF8F/ThYSEyHTjRXBwsNQ8y2bCSUhIQFRUVJViVJQuXbpwj/mnXquo2rK/pO44e/YsN2OEmpoaOnfuLNMf/8jVu3fvIjIyUlm7IBV/uSDr+ZE/XWXqm40aNRJoIL53757Ube7du1ftszopsl1DGd97VWhra+Ozzz7jnpeVwZmZmfD39wcgfdp+/uvFR48eVftI/DL85bGsI/Kllcf8+3bnzp0aOwMZf3ksr3p+Td5fUjdpaWkJPBc3K2QZWcqY4uJiiW2pijjm5VmHrs76Gf960dJuTisoKKjR10AVVdvq0tVdbxelNpQXU6dOlek1WSiiDa8m/B/FmTt3LteB7ezsjNDQUG5wQnp6OiZPnlylJUepc5sohba2NubPn889P378OI4fP17hfLKzs0VW9JYuXco9jo6OxpIlSyoXqJy4uLgI3NW9bNmySk0h+ubNG7x+/VrgNf589+7dK7UQOHXqFHdxoaWlha5du1Y4jqrg8XgC04KW3cXNfzf3xIkTJZ6YBwwYwN0JeOfOHe6uqerGP0uALFNpiFoLtDz+aQpPnDiBT58+VSo2RePvVPHx8an0xUdt2V9Cair+6YqkdW7m5ORg3759ig5JJP5zxt9//438/PxK5/Xs2TNMmDCBm/lj8eLFFVrrSF9fH506deKeyzKddNkIcQBwdXWt9Jqew4cP5x5X9XzHf23z9u1bfP/995XK58qVKwLPu3XrxjUAJSYm4ty5cxK3LykpwZ49e7jn/Ncl1WX06NHcyIagoCDExMQgOjqau0bU1tbG6NGjJebBXx7t2LFDccFK0K1bN2hoaAAoHWEirRErKysLp06dkphGW1tb4H+irH2Tpl+/fty13atXr3Dp0qVK5VNb9pfUHfyjrgcNGoR79+7J9BccHIxWrVpx2yqrfJYF/2/q8OHDUm8cDw0NxZMnT7jn0maVEYd/u/3790tNr4zvUJHtGvzf+/nz55GQkCAxjw8fPuDChQsit68uom42O378OLfebbdu3STOstO0aVO0aNECQGmHB//1V3Xir+efO3dO6qjCwMBAqSOP3NzcYGRkBKB0lHdZh39Nw3/NfvjwYSQlJVUqn9qyv6RuKt9GaG1tLTH9mTNnkJGRITHNxYsXufOwqLZURRzz8qxD83f4l81spSj8g2EePXokMe2ZM2eUPiBNnmpbXbo6jwtxakN50b9/f1haWnLPGzZsiH79+lUqr4q04X348AGnT5+WmmdN+D+Ksn//fm6GKw0NDRw8eBC6urrYt28fjI2NAZReQ/3000+V/gzq3CZKs3jxYoE73aZMmVKhE1h4eDi6dOmCy5cvC73Xs2dPfPnll9zzrVu3YuXKlVULuIp8fX25u9cyMzPRu3dvvHr1SubtT506hU6dOglMgwMAs2fP5k6MDx8+hK+vr9g80tLSsHjxYu75hAkTYGhoWJHdkAv+KcdPnDiB1NRUnDhxQuT7ojRq1IirODPGMHXqVKkXomVKSkqqtM4pvxkzZnCPAwMDcezYMbFp4+Li8Ouvv0rN09XVlatM5+bmYsqUKSgoKJApnoKCAqSmpsqUtqq++eYb7ri7e/cufv7550rlU1v2l5Cain895/Pnz0u849Hb21tpN5DMnj2bW38qNjYW33zzTaXySUpKwrBhw7hz/ogRI7Bhw4YK5zNnzhzusY+Pj0AjfHkPHjzAzp07uef81xf8ccmCvwxv0KCBTNuI4+7ujq+++op7vn379gpd6yQnJ2PMmDFCFQkjIyOMGzeOe/7dd99JXOdp+/bt3Oh3FRUVfPHFFzLHIC/6+vrcVGGMMRw8eBAHDx7kbrzinypVHG9vb25E/8mTJyu0hra8pk8zMTHh9gMovVaW1Ii1atUqmabx47/x4Y8//sDVq1dljqm6poazsrISOO7mzJlT6fNVbdhfUjckJiYKdCZKmiFCFP70+/fvr5EjVYDSG4/LyvCPHz9KXFajoKAAX3/9Nffcw8MDzZs3r9Tnzpo1i3t89OhRiSNXgoKC5LpER0Uoql2jf//+XEdwfn6+xGsnxhi+/vprrkHT3t4effv2rcBeyEfv3r25JUDKbjLjvwlcWj0fEDyHr1ixQqYZdsrI6xw+cOBAWFlZASi9kYx//d7yCgoKsGjRIql5ampqCvwPv/rqK7x//17mmKrrGv6zzz6DjY0NgNJ9nz59ukzTCpdXW/aX1Hxbtmyp0LVcTk4O1q9fzz23sLAQmI1BlIyMDIm/8+zsbIG21M8//1yoLVURx7y86tAAYGpqyj2uSFyVwT8SV1KdKiMjQ+mD0eStttWlq/O4EKc2lBeqqqoICAhASEgIQkJCcPv2ba7toKL42/AkzeZXXFyML774QqY2ciMjI66NPjExsUZ0cEdHR8PLy4t7vn79em4GxMaNGwv0X61bt06mGTREYoQo0evXr1mDBg0YAAaAqaiosClTprDnz5+LTF9SUsKCg4PZ1KlTmYqKCgPAfvjhB5Fp8/PzmZubG5c3ANa5c2d29uxZlp+fLzam58+fszlz5jBVVVVuuz179shhbxk7efIkU1NT4/LV09NjP/zwA4uPjxeZPi8vj507d465u7tz29y4cUMo3dy5c7n31dTU2Pbt21lxcbFAmlevXjEXFxcunYGBAYuOjhb5uT/88AOXTtz3y+/GjRtc+p49e0pNzxhjnTp14rYZPXo097hTp04ybf/+/XvWsGFDbrvmzZuzS5cuiU0fFxfHtmzZwhwcHNgff/wh9H50dDSXl42NjUwxMMbYxIkTue20tbXZwYMHhdI8evSIOTo6MgBMU1NT4v+SMcaePn3K9PT0BI7be/fuiY3h5cuXbO3ataxhw4bM399f6P3K/H/4fzfifPfddwLp5s2bx5KTk0WmvX//Pps2bRoLDw8Xek/e+0tIbdGzZ88KnWtFSUlJYTo6Olw+kyZNYqmpqQJp0tPT2ezZsxkApqurK/VcV5nzoY2NDbeNuLLFx8dH4JwxduxYFhcXJzJteHg4mz9/vsB5PT8/X6A8bNOmDcvMzJQpvvLy8/NZ27ZtubwsLS3Z9evXhdJduXKFmZubc+k6dOjACgoKhNJpa2uzL774gt28eVOo/C0TEhLCmjZtyuU1e/bsSsXOLy8vj3Xr1k3ge3Vzc2PXrl1jRUVFIrd5/fo1W7VqFdPX1xdbLkRFRQmcl7t27cpev34tkKa4uJj9/vvvAtdLX3/9tdhYZSlX+PH/PsSVl/zOnj3LpW/RogVr0aIF9/zs2bMyfSb/9Q+Px2Pe3t4sMTFRZNrCwkJ26dIlNnnyZGZpaSkyzbRp0yp8LRkeHs40NDS47QYMGCB0nVhQUMBWrFghdF0hqYznj0VDQ4OtX79e7O8nNzeXnTx5kg0fPpy5uLiITFPR/48s15Zv375lJiYmXDo7Ozt28eJFkWlTU1PZzp072XfffVct+0uIKL///jt3nOnr67OcnJwKbR8bG8t4PB6Xx7Vr1wTer2z9RBHn259//lkg3xUrVgjVqePj49nAgQMF6qXirullrZ94eHhw6YyNjdm5c+eE0ly6dIk7d6irq0u9Hqno+UsWimrXOHLkiMD3PmvWLKFzWUZGhsA5DwA7fvy4yM9VVL2Q36JFi7j0I0eO5PZPQ0ODpaSkSN2+qKiI9e7dm8vDwMCA/fXXX2LbcNLT09m///7LevbsyT7//HORaWS5Ti3P19dXYN8XL14sFENCQgIbOnSoUHksrpzLzMxkLVu2FLj+PHr0qNhrx8TERLZz507Wvn175u3tLTKNIn7v/v7+Auem3r17s4iICJFpo6Oj2cqVK9nevXurZX9J/TNu3DgGlLYV+vj4iG0/ZYyxe/fuCbQ1AmBbtmwRmZb/t1B27f39998L/c7fvXsnkFZbW5u9evVKZJ6KOOarWocuc/fuXS6Phg0bsrS0NJF58KtMXYYxxgICAgRiFtUGGxERwTp27Ch0/hR3Xqpo2V3R835Fz6WSKKIuvWfPHi7dtGnTqhxjmeo4LmSJXZnlBf/1NgCWm5tb6bxyc3MF8hJ17EVERAiUsd7e3kJ1iI8fP7IRI0YwQLANT9K1W/Pmzbl0R48elRprZa4JGZPt/1lUVMS6du3Kpevbty8rKSkRSjd9+nQujb29PcvIyJA5jjKlc78RoiRNmzbF/fv3MWzYMISHh6OkpAT79+/H/v37YWtrizZt2sDMzAzFxcWIj4/Ho0ePhO7IETcSR0NDA1euXMGMGTNw+PBhAKXrJQ0dOhQ6OjpwcXFBw4YNYWRkhLy8PCQmJuLZs2dC04Xb29sLrJlRFSNHjsSFCxcwZswYpKWlISsrC2vWrMHatWvRtm1b2Nvbw9TUFJmZmfj48SNCQkIE1plSUVERORXqr7/+itDQUISEhKCoqAjz5s3Dxo0b0b17d+jp6eH169e4ffs2N6JPTU0Nu3fvFpgqprpNnjwZoaGhACAwdZssd3MDpSN8Tp8+jcGDByMpKQkvX77EgAED0KhRI7i6usLc3ByFhYVISkpCeHg4oqOjFbIfW7duxb179/DmzRvk5uZi4sSJWLVqFbp06QINDQ28ePECd+/eBWMMn3/+ORITE3Hr1i0AglOR8GvVqhUOHTqEcePGIScnB/fv30eXLl1gb2+PDh06wMTEBHl5eUhISMCTJ0+Udnfd+vXr8eLFC25kwvbt2+Hr64uuXbvCzs4OampqiI+Px4MHD7j11EXdaVpb9pcQRfrrr7+kTi/Mb+3atRg+fDiMjY2xaNEirF27FkDpFJAXLlxA586d0ahRI3z8+BE3b95EdnY21NTUsGPHjgpN4S1PX331FcLDw/Hnn38CKB2Fdfz4cbi4uMDR0RFaWlpITExEWFgYVxbzT0l69+5dBAQEcM9tbW1lvtN7ypQpAneQa2ho4NChQ+jZsycSExMRHx+P3r17o23bttyd/Y8ePRKY0q5BgwY4dOgQ1NXVhfLPzc2Fr68vfH19oa+vj3bt2sHGxga6urpISkrCixcv8OzZMy69ubk5Vq9eLVPskmhqauLq1auYNm0aN3tIUFAQ+vTpA2NjY7i6uqJBgwbQ1NTEp0+fEBkZiZcvXwrkIeo6yt7eHrt27cKkSZNQXFyMu3fvonnz5nB3d4e9vT2ysrIQEBAgcD7u0qULNm3aVOV9qqwBAwbA3NwciYmJiIiI4F43NzfHgAEDZMrjhx9+QExMDLfMy+bNm/HHH3+gU6dOsLe3h46ODjIyMhATE4MnT55w12j8d7xXVcuWLbFx40YsXLgQAHDp0iXY2NigV69esLa2RmpqKm7duoXExERoaGhg/fr18Pb2BiD+ugIoXZf948ePuHz5MgoKCrBs2TL8+OOP6Ny5M6ytraGpqYm0tDS8fv0a4eHh3Ijxjh07ym3fpGnSpAmOHj2KkSNHIisrC9HR0Rg4cCBsbGzg6uoKExMTZGVlITIyEo8ePUJhYaHASPfatr9E8d6/f49jx47h/PnzePHiBeLj42FiYgI3NzcsXrxYoFyoDP4pyT/77DNueQRZWVtbw93dnRuRvHfvXqVMJS2LRYsWITAwkLvu//HHH/Hnn3/Cw8MDxsbGiIuLw40bNwRmm/jll1+q/B3v3r0bXbt2xadPn5CamoohQ4agVatW6NChA3g8HsLCwrjZVxYuXIjjx49LnR5aERTVrjF27Fjcvn0bPj4+AIBdu3bhyJEj8PDwgIWFBRISEnDt2jVkZWVx23zzzTcCa19Xt8mTJ3MzlvFf2w4ZMoSbglISVVVVHD16FP369UNYWBgyMjLw5ZdfYvHixejatSsaNWoEVVVVpKam4uXLl4iIiOBGFktbgqQiZs2ahXPnznHTgW7atAm7d+9Gr169YGJignfv3uHGjRvIy8tD06ZNMWLECPz2228AxJfHenp6OHPmDPr27Yvo6GjEx8dj7NixMDMzQ5cuXWBpaQnGGFJSUvD8+XO8evWKW4anOs8NQ4cOxYYNG7jr7OvXr8PZ2Rlt27ZFy5Ytoaenh5SUFDx58oS7rizb99q4v6R2CA0NRWhoKLy8vGBvb4+WLVvCzMwMampqSExMxKNHj4Ta/UaNGiUwm4g4P/74I5YvX46ff/6Z+50bGxsjNjYWN2/eFBg5+fvvv8PBwUFkPoo45qtahy7j6uqKJk2aIC4uDh8/foSTkxP69+8PMzMzbllIFxcXgVHHldW9e3cMGTKEm5L766+/ho+PD7p06QIej4eXL1/i3r17KCkpgaenJ6Kjo7l20rqgNtWlq/O4kKQ+lRdOTk6YMmUKt5zO5s2bcfDgQbi4uKBBgwaIiYnB7du3UVBQAH19ffzyyy8iZw8sb/To0dysFZMmTYKfnx8cHBwE2q9kmVFWHtatW4e7d+8CKG0r2bt3r8jlZ7dt24aAgABERUXh9evX+Prrrys0gx4AOdyOQogcZGZmsrVr1zIjIyOBO1wk/bVt25adPHlSpvwPHz7MnJ2dZc4bAHN0dGRbtmyROMq7smJjY9n06dMF7tCS9KeiosKGDBnCHj16JDbPzMxMNnbsWKl5NWzYkJ0/f15ifNUxcvvTp09C+6+mpsY+ffok0/ZlYmJiWJ8+fWT+v1pYWIgcBVTZkRGMlf4/27VrJ/FzR4wYwTIyMgRG2IWFhUnM99GjR9ydjLL82draisxTkXfoFxcXs2XLlgncaSnuT1VVVewd3/LcX0KqQ3BwMBs0aBAzNDRkOjo6rHPnzuzIkSMVyoP/7uOK/vHfIVtUVMSmTp0qMb2RkRE7efKkTOc6RY3cLvP7778zAwMDqfvI4/EE7jrnP5dV5fvi9/LlS9a+fXup23fo0IFFRUWJ3Sf+O7Ol/bVt21biubAySkpK2P79+5mDg4PMcTRs2JD98ssvLC8vT2y+/v7+zMLCQmpeEyZMYNnZ2RJjlLVcKVOZkXXz5s0Tik3SHfDibNu2jRkbG8v0PfJ4PDZ8+HCR+VR2tANjjP3yyy8CIxDL/xkaGrIzZ86wy5cvc6+NGDFCYp5FRUVs5cqVArM9SPpTV1dnXl5eIvNSxMjtMo8ePRKYWUHS36RJk6plf0nt9P333zOgdCTAzJkz2ZIlS9jo0aOZqqoqU1FRYYcPH6503k+ePBE4fq5cuVKpfPhHh+rq6gqMyq1JI7cZK52xYt68eVLrsIaGhlLPeRWpn4SHh7NmzZpJ/MzZs2ezgoICma5HFDFyu4yi2jXWrVsntb6lpaXF1q9fLzGf6hi5zRhjrVq1EopP3GhycXJyctiXX34pMPOdpD9tbW2x+1+ZkduMlc6QM378eImf26JFC/bixQu2bNky7rXffvtNYr7JyclszJgxAiO3JP0ZGRkxPz8/kXkp6vfOWGk7mizXgQCYr69vtewvqX98fX2ZnZ2dzOfUsvPB2rVrWWFhodh8y/8WTp06JbGOqqWlxXbs2CFTzIo45itbh+bn7+8vMENU+b/yozCrUpdJTk4WGkVf/m/mzJksLy9PpvNSbRq5XUaedWlFjdwui1ORx0VFYldGeVHdI7cZYyw7O5v1799f4r41btyYBQYGynztlpaWxpycnCTmyU9RI7eDgoIE6gonTpyQmN/9+/cFrvVkGXXOjzq3SY2SlpbGDh48yKZPn87atGnDLC0tmYaGBtPT02PW1tasf//+bOXKlezBgwcVzru4uJhdv36dLVu2jHXv3p3Z2dkxAwMDpq6uzkxNTVmzZs3Y8OHD2bp169jdu3cVsHfCYmJi2Pbt29nIkSNZ8+bNmampKVNTU2NGRkbMwcGBjR49mm3evFnslDOi3Llzh82dO5e1aNGCGRoaMg0NDWZlZcX69+/Ptm3bxrKysqTmUR2d24wxNmjQIIGT7KBBg2Tetrw7d+6wb7/9lnXs2JE1aNCAqaurM21tbda4cWPm4eHBvvvuO3blyhWxF7dV6dxmrLSxx9fXl3l4eDBzc3OmoaHBrK2t2bBhw9jx48e56Tf4CxpZK9aXLl1ic+fOZW3atGFmZmZMTU2N6erqMltbWzZgwAC2atUqFhQUJHKKD8aqpxHj7du3bO3atczd3Z01bNiQ+/5tbGzY4MGD2ebNm9m7d++qZX8JUbTr168zdXV1pq+vz2bPns0WLlzIVZ5+/fVXmfORV+d2GX9/fzZs2DDuHNigQQPWqVMntm7dOvb+/XvGmGznOkV3bjPGWFJSEvv1119Zv379WKNGjZimpibT1NRkjRo1Yn379mXr1q1jkZGRAtsoonObsdLrgyNHjrCxY8cyW1tbpqOjw3R0dJitrS0bN24cO3bsmNTzTX5+Prty5QpbsWIFGzBgAGvatCnT1dVlqqqqTF9fn7Vo0YJNnjyZnTx5UuzUWvJQWFjILl68yBYuXMhcXV1ZkyZNmLa2NtPU1GSWlpasa9eubP78+ez8+fNipy0vLzMzk23dupX169ePWVlZMQ0NDWZoaMhatGjBvvrqK4nLSPCraLlSmc6H+/fvC/3v79+/L9O25WVkZDAfHx82cuRIZmdnx/T09JiamhozNjZmrVu3ZuPHj2d//fUXe/v2rdg8qtIgxFjpUjleXl6sWbNmTFtbmxkZGbE2bdqw5cuXc597+PDhCjd0JCQksF9//ZUNHDiQWVtbMx0dHe56uEOHDmzatGnMz8+PJSQkiM1DkZ3bjJXesHHixAk2depU1qxZM2ZgYMBUVVWZsbEx69ixI5s7dy47f/68TL8neewvqZ2OHz/Obt68KfT67du3mbq6OjM2NpZ4g48k3t7e3DHdsGHDSp/bU1JSBDot+c8VNa1zu0x4eDhbuHAha9u2LTMxMWHq6urMwsKCubu7sw0bNrCkpCSpeVS0fpKbm8u2bt3KunXrxkxMTJiWlhazs7NjY8eOZZcvX+bSKbtzu4wi2jViYmLYihUrmIuLC1dHMjMzY66urmzlypUsNjZWah7V1bldfhp7IyOjSv/WoqOj2bp165iHhwdr1KgR09LSYhoaGszc3Jx17tyZffHFF+zIkSMsPT1dbB6V7dwuc+nSJTZmzBjWuHFjpqGhwSwsLJibmxv7448/uPaVL7/8ssJl/tOnT9myZctYt27dWMOGDZmGhgbT0tJilpaWrHv37mz+/PnszJkzEhvaFf17z8rKYjt27GDDhg1j1tbWTFtbm/sOevTowZYtW8YePnxYbftL6q+nT5+y7du3s8mTJ7NOnTpx7W7q6urMxMSEOTs7s/Hjx7OdO3fKtASCqN9CTEwMW7JkCWvdujUzNDRk2trazNHRkc2fP1+obiprzPI85itThy7vyZMnbM6cOaxly5ZMX19foBNRnp3bjJUupbRjxw7m7u7OTExMmIaGBrOxsWGff/65QNldVzu3GZNfXVqRnduMKfa4qEzs1VleKKNzm7HSdqj9+/ezvn37MlNTU6aurs4aNmzI3Nzc2JYtW7jzWEWu3TIzM9nPP//MevTowczNzYVulueniM7t9PR0gZuRZs2aJVOeP/74I7eNsbGxxDaW8niMMQZCCCEKl5OTA0NDQxQVFUFXVxcZGRkSpxAlhNQ8RUVFcHJywrt373Dv3j1uCuv09HS4uroiJiYGkZGRsLGxUW6ghJB6Yfny5dz0Yxs3bsT333+v5IgIqR0GDBiAy5cvIyQkBJ06dVJ2OISQWs7NzQ137twBANy7d6/KU/ITQhSrV69e3FTYN27cQK9evZQbECGEkAqjXhVCCKkmJ06c4NYD69ChA3VsE1ILXb9+Ha9fv8bEiRO5jm0AMDQ0xLJly1BQUCCwBichhCgKY4xbax0oXQ+NkJoiISEBZ8+exapVqzBo0CBu7T4ejwdPT88K5RUbGwtvb284OTlBV1cXJiYmcHFxwS+//IKcnJxKxVe2/pyamlqltieEkDKxsbG4f/8+AEBDQwNt27ZVckSEEEIIIXUf1eQIIaQapKamYsWKFdzziRMnKjEaQmqnhIQEBAcHIzg4GCEhIQgJCUFycjIAYNq0afDz85M5r9jYWGzbtg3nzp1DXFwcNDU1YW9vj7Fjx8LLyws6Ojoit7t58yYAoH///kLvDRgwAAC4O8AJIUSRfvvtN7x69QoA0KhRI/Ts2VPJERHyPxYWFnLJx9/fH5MnT0ZGRgb3Wk5ODkJDQxEaGopdu3bh3LlzcHBwkDnPt2/f4urVq2jYsCFat24tlzgJIfUTYwwLFixAcXExAGDUqFHQ0tJSclSEEEIIIXUfdW4TQkgVjRs3DmPGjMHQoUNFVmSDgoIwe/ZsxMbGAihtgJ40aVJ1h0lIrVcTGsrLOpKaNWsm9J6lpSX09PS4NIQQUhn//fcf7t27hy+++AKOjo5C72dkZGDTpk3cdOQA4O3tDVVV1eoMkxCZWVtbw8nJCZcvX67QdmFhYRg3bhxyc3Ohp6eHpUuXwsPDA7m5uTh8+DD+/vtvREZGYsiQIQgNDYW+vr7UPAsLCzFlyhTk5+fj559/pt8NIUSsVatWwdTUFJMmTYKZmZnQ+zExMfjmm29w+vRpAICqqioWLVpU3WESQgghhNRL1LlNCCFVdP/+fRw9ehR6enpo37497OzsoK2tjdTUVDx8+BBRUVFcWnV1dezZs0emxjdCiHjKaihPT08HUDoNuSgGBgZcGkIIqYysrCxs3rwZmzdvhoODA9q0aQMzMzMUFhYiNjYW9+7dE5iKuXfv3liwYIESIyZE2KpVq+Di4gIXFxdYWFggJiYGdnZ2FcpjwYIFyM3NhZqaGi5fvoyuXbty7/Xu3RvNmjXD4sWLERkZic2bN2P16tUS8yspKYGnpydu376N2bNnY8qUKZXZNUJIPfH27VusW7cOixYtQuvWreHk5ARDQ0NkZWXhxYsXCAsL40ZsA8CKFSvQqVMnJUZMCCGEEFJ/UOc2IYTISVZWFgICAhAQECDy/YYNG2Lfvn3o27dvNUdGSN1QExvKCSFEkaKiogRukuPH4/EwadIk/P3331BRUanmyAiRbM2aNVXaPjg4mLumnjlzpkB5Xcbb2xt79uxBREQEtm7diuXLl3NraZdXUlKCGTNm4ODBg5g8eTL++uuvKsVHCKk/ioqKEBYWhrCwMJHva2trY+3atTRqmxBCCCGkGlHndh1UUlKCDx8+QF9fHzweT9nhEFLnnTlzBmfPnsXdu3cRHR2N5ORkpKSkQF1dHaampmjTpg369OmDCRMmQFtbW2AqZFJ3McaQmZkJKysr6nSQk5rQUF42Ylvc6OyMjAwYGxvLHBOV2YSQ8oYOHYqjR4/i6tWrePz4MRISEpCSkoKcnBwYGBigcePGcHNzw/jx49G2bVsUFBSgoKBA2WHXWlRe10ynTp3iHk+fPl1kGhUVFUydOhVLly5FWloabty4gf79+wulKykpwfTp07Fv3z5MmDABfn5+Ff5fU3lNSP2zdu1adOnSBbdv30ZERASSk5ORnJyM4uJiGBsbo1mzZujZsyemTJkCS0tLqudXAyqziSxkKbP5Z13Izs6m3y8hhMhRdZXX1LldB3348AFNmjRRdhiE1HsFBQXIzs7G27dvcfbsWXz77bfKDokoQVxcHBo3bqzsMAjk01Bettb2q1ev0LFjR4Ft4+PjkZWVBVdXV5ljojKbEFIRZQ3rjx8/xo4dO5QdTp1C5XXNEhgYCADQ1dUVKm/59ezZk3scFBQk1LnN37E9btw47N+/v1LrbFN5TQjhFx8fj/j4eAQEBODHH39Udjj1DpXZRJKKltlDhw5VYDSEEFJ/Kbq8ps7tOqhsfdC4uDgYGBgoORpCCKmfMjIy0KRJE1pfvQaRR0N5z549sWHDBly+fBnjx48X2O7SpUtC20tDZTYhhCgXldc1U0REBADAwcEBamrimy2cnJyEtilTNhX5vn37MGbMGPz777+V6tgGqLwmhJCagMpsIgsqswkhRLmqq7ymzu06qGzKFQMDAyrECSFEyWjqyppDHg3lffr0QdOmTXHw4EHMnz8f7dq1A1A6Tfn69euhoaGBqVOnyhwTldmEEFIzUHldc+Tl5SEpKQkApN7pb2xsDF1dXWRnZyMuLk7gvbVr12Lv3r3Q09ODo6OjyNGVI0eO5Mpyfvn5+cjPz+eeZ2ZmAqDymhBCagIqs4kkVMcmhJCaQdHlNXVuE0IIIaTOk1dDuZqaGnbt2oUBAwagR48eGD9+PPT19XH8+HHExsbi119/ha2trdi8yzeW09pehBBCiKCyjmQA0NPTk5q+rMzOysoSeD0mJgYAkJWVhZ9++knktra2tiI7tzds2IA1a9bIHjQhhBBCCCGEkGqjuNW8SbXz8fGBs7MzXFxclB0KIYQQUqNUpqEcgFBDOQB4eHggMDAQbm5uOHLkCP78809YWFjg8OHD8Pb2lpjvhg0bYGhoyP3R+p2EEEKIoLy8PO6xhoaG1PSampoAgNzcXIHX/fz8wBiT+Ofp6Skyz6VLlyI9PZ37K3+zGyGEEEIIIYQQ5aGR23WIl5cXvLy8kJGRAUNDQ2WHQwghhNQY8mooL+Pq6ooLFy5UOI6lS5di4cKF3POydWgIIYQQUkpLS4t7XFBQIDV92Ywo2tracotBU1MTmpqa8PHxgY+PD4qLi+WWNyGEEEIIIYSQqqHObUIIIYTUeTWhoRz4X2M5IYQQQkTT19fnHouaQaW87OxsALLNzFJRdAM5IYQQQgghhNQ8NC05IYQQQuq8mtRQDtBSIoQQQog4WlpaMDU1BQC8e/dOYtrU1FSuzKaZUAghhJD6i+rYhBBSv1DnNiGEEELqvJrWUO7l5YXnz58jJCREIfkTQgghtZmzszMAICoqCkVFRWLTvXjxgnvcokULucdBDeWEEEJI7UB1bEIIqV+oc5sQQggh9UJNaSgnhBBCiGTdu3cHUDqTyoMHD8Smu3XrFvfYzc1N7nFQQzkhhBBCCCGE1DzUuU0IIYSQeqGmNJQTQgghRLKRI0dyj/fs2SMyTUlJCfbt2wcAMDIygoeHR3WERgghhBBCCCFEyahzmxBCCCH1Qk1qKKdpTgkhhBDxXF1d4e7uDgDYvXs37t69K5Rm8+bNiIiIAAAsWLAA6urq1RojIYQQQgghhBDlUFN2AER+fHx84OPjg+LiYmWHQgghhNQ4ZQ3lAQEB2L17N6ZNm4auXbsKpKmuhnIvLy94eXkhIyMDhoaGCvkMQgghRFkCAwMRFRXFPU9KSuIeR0VFwc/PTyC9p6enUB5bt26Fm5sbcnNz0b9/fyxbtgweHh7Izc3F4cOH4evrCwBwdHSEt7e3QvaD6tiEEEIIIYQQUvPwGGNM2UEQ+SprKE9PT4eBgYGywyGEkHqJzsXyJ6qh/LvvvgNQOn34rFmzBNKLaigPCwvjGsr19PQkNpSHhoZCX19fcTsEOk4IIUTZ6DysGJ6enti7d6/M6cU1S/j7+2Py5MnIyMgQ+b6joyPOnTsHBweHSsUpKzpOCCFE+ehcTGRBxwkhhChXdZ2HaeQ2EZKQkYe1Z5/j236OsDfXU3Y4hBBCCABg165dYhvKg4KCEBQUJPCaqM7t9u3b48iRI1xD+bJly4TSlDWUK7pjm4iWV1iMo6FxMNXVRHcHMxjq0DSzhBBSXw0bNgxPnjzB1q1bce7cObx79w4aGhpwcHDAmDFjMG/ePOjo6Cg7zFqvuIThvwdx0NVUQ6/mDaCnSU1FhBBCCCGE1DeMMaw/H4HWjY0wvK2VssORiGosRMias89x7slHfEzPw9E5XaGqwlN2SIQQQojc1ISGcprmVLSSEgbvo49x7ulHAIAKD2jXxAg9HM3Rw9EcbRsb0XUJIYTUAn5+fkJTj1eWjY0NtmzZgi1btsglPyJs67VX2HbtFQBAQ00FPZqZYUBLS/RztoCRjoaSoyOEEEIIIYRUh79uvcHfAdFQ4QGtGxnCzkxX2SGJRdOS10FVHfb/Pi0X/bfcQnZBMX4Y5ozpbnYKiJIQQuo2mgqLyIKOE0E/nn2OXYHRUFflwdpEB68TswXeN9RWR3cHM/RwNEMPR3M0NNRWUqSEkLqCzsNEEv6b0SIjI+vkcXI7MhHT9gSDMcDKUAsf0vO491RVeOja1BQDWlligLMFGhhoKTFSQkh9R2U2kQUdJ4QQUjn/PXiHRcceAwBWDnXGzO6V6xesrvMwdW7XQfI4eP69F4sVp8Khra6KS9/0gLUpTfVGCCEVQRUqIgs6Tv5nT1A01vg/BwBsHd8OI9o1wvu0XNyOTMTtyEQERiUhM69IYJtmDfS4Ud2d7Uygpa6qjNAJIbUYnYeJLOrqcfIxPRdDtgUiJbsAEztb46eRrfDyUyYuhsfjYng8XsRncml5PKCDtTEGtrTEgJaW1EZACKl2dfVcTOSLjhNCCKm4Gy8TMGtvKIpLGOb0aIqlg1tUOi/q3CaVJo+Dp6SEYcLf93A/OgXd7E1xYFZn8Hg0DSghhMiKKlREFnSclLoY/hFzDzwEY8Digc3xVS8HoTRFxSV4/C4NtyKTcDsyEU/epaGE7ypWU00FrnYm6Pn/nd3NGujRtQshRCo6DxNZ1MXjpLC4BON97+FBbCpaNTLAf192E7pJLCYpGxeflXZ0P4pLE3jPuaEBBrayxMBWllTmEkKqRV08FxP5o+OEEEIq5lFcGib43kNuYTFGtW+EzWPaQqUKSwJS5zapNHkdPDFJ2Ri49TbyCkuw4bPWmOBqLccoCSGkbqMKFZGkPkxzKqsHsSmY+Pd95BeVYHIXa6wb0UqmBvK0nAIERiX9/8juJMRn5Am839BQC+7NSqcv7+5gRmuGEkJEovKayKIuHidlS4Hoa6nh3NfuUkdif0zPxeVnn3AxPB73o5MFbjBraq6LgS1LO7pbNzKkjm5CiELUxXMxkT86TgghRHbRSdkY/ecdpGQXwL2ZGXZPc4GGmkqV8qTObVJp8jx4dgW8wY/nIqCnqYbL3/aAlRGtbUkIIbKgChWRRX0/Tt4kZmH0n3eQmlOIPk4NsHNKR6ipVvwimjGGVwlZuB2ZiFuRiQiOTkF+UQn3vgoPaNPYCD0czdHT0QxtGxtV6nMIIXVPfT8PE9nUtePkYng8vvz3AQBg55SOGNDSskLbp2QX4OrzT7j4LB6Br5JQUPy/MtfKUAsDWlliYEtLdLI1gWoVRn0QQgi/unYuJvJFN5ATQkjFJGTmYfSfdxCXkovWjQxx6Isu0NNUq3K+1LlNKk2eB09xCcPnf91B2Ns0eDQ3xz+eLnQXNiGEyIAq3kQW9fk4ScrKx2c77uBtSg7aNi69iNbRqPpFNADkFRbjfnQKt173q4QsgfcNtNTg5mDGrdfdiG7eI6Teqs/nYSJdXWwoj03OxtA/ApGZV4TZ7nZYPsS5Svll5hXixstEXAqPx42XCcgpKObeM9XVQP+WFhjQ0hLd7M2qPAqEEFK/UZlNZEHHCSGESJeZV4jxvvfw7EMGbEx18N+X3WCurymXvKlzm1SYoireUQmZGLw1EAXFJdgyti0+69BYDtESQkjdRhUqIov6epzkFBRhgu89PH6XjiYm2jgx101uF9GifEjLRcCr0unLA6OSkJ5bKPC+vbku19Hdxc4U2hqqYnIihNQ19fU8TCqmrhwneYXFGP3nHTz7kIGONsY4/EUXqMtxJpO8wmIEvErChfCPuPr8EzLyirj39LXU0MepAQa2skQPR3O53dBGCKk/6sq5mCgWHSeEECJZQVEJpvsFIygqGWZ6Gjg+txtsTHXllj91bpNKU8TB43MjCr9ceglDbXVcWdgDDfS15JIvIYTUVVShIrKoj8dJUXEJvvz3Aa5GJMBYRx3H53ZDU3O9avv84hKGx+/SuFHdj+LSBNYN1VBTgautCXo4lo7sbm6hT7PWEFKH1cfzMKm4unKcLDv5FAfvv4WJrgbOze+OhoaKm7mksLgE994k42J4PC49+4SkrHzuPS11FfR0NMfAVpbo7WQBQ211hcVBCKk76sq5mCgWHSeEECJeSQnDN0ce4czjD9DRUMWRL7qidWNDuX4GdW6TSlPEwVNYXIKRPkF49iEDg1pZ4s/JHeWSLyGE1FVUoSKyqG/HCWMMK0+H4997b6GppoKDszujo42JUmNKzylE0OskrrP7Q3qewPsWBpro0ax0VHd3BzMY62ooKVJCiCLUt/MwqZy6cJycCnuPb448Ao8H7J3uih6O5tX22cUlDGFvU3ExPB4Xn8XjXWou9566Kg/d7M0wsJUl+jlbwExPcTO5EEJqt7pwLiaKR8cJIYSI9+PZ59gVGA01FR7+8XRRSJ2AOrdJpSnq4Hn2IR0jtgehqIRhx6QOGNy6odzyJoSQuoYqVESSuriGpyz+vPkaP198AR4P+HNSBwxsVbOuJRhjeJ2YhVuRpZ3d994kI7+ohHufxwPaNDZCz2alo7rbNTGCmhyncyWEVD8qr4ksavtx8upTJoZvD0JuYTHm92mGhf0clRYLYwzPPmTg0rN4XAyPx6uELO49FR7QydYEA1taYkArSzQyUtzIckJI7VPbz8WketBxQgghov19+w1+Oh8BAPhtXFuMaq+Y5Yepc7se+vfffxEQEIAHDx7g6dOnKCgowJ49e+Dp6VmhfBR58Gy5/BLbrkfBTE8DV77tSaOXCCFEDKpQEVnUp+Pk9KP3WHD4EQBg1VBnzOhup9yAZJBXWIzg6JTSUd2vEhH5KUvgfX0tNbjZm/3/et1maGyso6RICSGVVZ/Ow6Ti6sLNaNn5RRjhE4SohCx0dzDD3hmuUFWpOcttRCVkcR3dT9+nC7zXprEhBrS0xMBWlrCvxiVMCCE1E5XZRBZ0nBBCiLCyWZwAYOkgJ8zpaa+wz6LO7XrI1tYWsbGxMDMzg66uLmJjY2tc53Z+UTGGbgvEq4QsjGrfCL+NayfX/AkhpK6gChWRRX05Tu68TsK0f4JRWMwws7sdVg51VnZIlfIxPRcBkUm49SoRga+SkJ5bKPB+U3Nd9Ghmjp6O5ujc1AQ6GmpKipQQIqv6ch4mVVNbjxPGGL498ginHn1AA31NnF/gXqOn/X6XmoNLzz7hUng8QmJTwN9a1ayBHqa72WFiZ2vlBUgIUaraei4m1YuOE0IIERTwKhEz/EJQWMwww80OK4e2AI+nuJtdq+s8TC1uNciuXbvQrFkz2NjYYOPGjVi6dKmyQxKiqaaKTZ+3weg/7+Bk2HsMbdMQfVpYKDssQgghhNRQL+MzMWf/AxQWMwxubYnlg1soO6RKa2iojbEuTTDWpQmKSxievEvD7cgk3H6ViLC3qXiTmI03idnwuxMDDVUVuNgZc+t1O1nqK7TyQAghhJR3KDgOpx59gKoKD9sndqjRHdsA0NhYBzO722FmdzskZubjyvNPuPgsHneikvAqIQvLTj6FrakOujmYKTtUQgghhBBCarzw9+n48v/b5Ia2aYgVQxTbsV2dqHO7Bunbt6+yQ5BJe2tjzHJvCt/bb7Ds5FNctjWBoba6ssMihBBCSA3zKSMP0/cEIzOvCJ1sjLFlbDuo1KCpUKtCVYWH9tbGaG9tjAV9myE9txB3oko7um9HJuF9Wi6CopIRFJWMDRdeoIG+Jvo5W+D7QU4w0KLrJkIIIYoV/j4dq/2fAQC+G9AcrnYmSo6oYsz1NTGxszUmdrZGek4h1p59juMP32GN/3Ocm98daqoqyg6REEIIIYSQGis2ORuee4KRXVCMbvam2Dy2bZ1pkwMAqg0ASEhIwNmzZ7Fq1SoMGjQIZmZm4PF44PF4FZ4SPDY2Ft7e3nBycoKuri5MTEzg4uKCX375BTk5OYrZASVY2M8Rdma6+JSRjw3/vwg9IYQQQkiZzLxCeO4JwYf0PDQ118XfUztBS11V2WEpjKG2Oga1bogNn7VB4PceuLqwJ1YNdUav5ubQUldBQmY+Dtx/i5WnwpUdKiGEkDouPbcQXx14iIKiEvRt0QBfuDdVdkhVYqijjpVDW8BIRx0vP2XiYPBbZYdECCFETvLy8rBw4UL06NEDVlZW0NLSgqWlJdzc3LBnzx4UFhZKz4QQQoiApKx8TPsnGElZBWjR0AA7p3SEplrdapOjkdsALCzkM622v78/Jk+ejIyMDO61nJwchIaGIjQ0FLt27cK5c+fg4OAgl89TJi11Vfw8ug3G7ryLwyFxGNrGCt2b0dRghBBCiCx8fHzg4+OD4uJiZYeiEIXFJfjqwENEfMyAmZ4m9k53hbGuhrLDqjY8Hg8ODfTg0EAPM7rbIa+wGNdfJGDewYc4/egDBrVqiIGtLJUdJiGEkDqIMYbvjj3G25QcNDbWxuYxdWPWFCMdDXj3c8TK08+w+XIkhrWxqlfXFoQQUldlZWXhzz//hKurK4YMGQJzc3OkpqbiwoULmDFjBg4fPowLFy5ARYXG6BFCiCyy84swwy8EMcml9YG9012gXwdnEKRSoRxra2v079+/wtuFhYVh3LhxyMjIgJ6eHn766SfcuXMH165dw+zZswEAkZGRGDJkCDIzM+UdtlK42plgalcbAMCSE0+QnV+k5IgIIYSQ2sHLywvPnz9HSEiIskORO8YYlp54ioBXSdBWV8U/np3QxERH2WEplZa6Kga3bog5Pe0BACtOPUVKdoGSoyKEEFIX7Q6MxuXnn6ChqoIdkzrAUKfuNGRNcLWGk6U+0nML8dvVSGWHQwghRA5MTEyQnp6OW7du4e+//8b69evx559/IioqCr169cLly5dx4cIFZYdJCCG1QmFxCeYeeIgn79JhoquBfTNc0cBAS9lhKQR1bgNYtWoV/P39ER8fj9jYWOzcubPCeSxYsAC5ublQU1PD5cuXsWzZMnTt2hW9e/eGr68vNm3aBKC0g3vz5s3y3gWlWTzQCY2MtPEuNRe/XHqp7HAIIYQQomS/X32F/x68gwoP8JnUHm0aGyk7pBrjm77N4Gihh6SsAvxw5pmywyGEEFLHPIhNwcYLLwAAK4e2qHNlsJqqClYNdQYA/HsvFi/iM6RsQQghpKZTUVGBhobwTBxqamoYNWoUACAqKqq6wyKEkFqHMYbv/3uC25GJ0FZXxe5pndDUXE/ZYSkMdW4DWLNmDYYOHVrp6cmDg4MREBAAAJg5cya6du0qlMbb2xstWrQAAGzdurXOrBeip6mGjaNbAwD87sQgODpFyRERQgghRFmOhsRh67VXAIAfR7ZGbyf5LP1SV2iqqeLXMW2hqsKD/+MPOP/0o7JDIoQQIoGPjw+cnZ3h4uKi7FCkSs7Kh9eBMBSVMAxra4XJXWyUHZJCdHMww8CWlihhwFr/52CMKTskQgiptRISEnD27FmsWrUKgwYNgpmZGXg8Hng8Hjw9PSuUV2xsLLy9veHk5ARdXV2YmJjAxcUFv/zyC3JyciocW0lJCS5evAgAaNWqVYW3J4SQ+ubniy9xIuw9VFV42DGpA9pbGys7JIWiNbfl4NSpU9zj6dOni0yjoqKCqVOnYunSpUhLS8ONGzcqNf15TeTezBzjOjXBkdA4fH/8CS4scIeWet1anJ4QQgghkt18mYClJ58CALw87DGxs7WSI6qZ2jQ2wtye9th+IworT4Wjs50JTPU0lR0WIYQQEby8vODl5YWMjAwYGhoqOxyxSkoYvjnyCPEZeWhqrosNn7UGj1f719kWZ/mQFrj+MgF3Xifj0rNPGNjKUtkhEUJIrVTZgV7l+fv7Y/LkycjI+N+MGjk5OQgNDUVoaCh27dqFc+fOwcHBQWweBQUFWL9+PRhjSE5OxrVr1/DixQtMnz4dffr0kUuchBBSV/0TGI2/br0GAGz8rDU8nBooOSLFo5HbchAYGAgA0NXVRceOHcWm69mzJ/c4KChI4XFVp2VDWsDCQBPRSdm09hUhhBBSz4S/T4fXgYcoLmEY1b4RFvVvruyQarSv+zjAyVIfydkFWHWapicnhBBSNdtvRCHgVRK01FXw56SO0NOs2+MYmpjo4Av3pgCAn84/R15hsZIjIoSQ2s/a2rpSA7HCwsIwbtw4ZGRkQE9PDz/99BPu3LmDa9euYfbs2QBKl+kcMmQIMjMzxeZTUFCANWvWYO3atfDx8cHLly+xaNEi+Pr6VnqfCCGkPvB//AHrzj0HAHw3oDnGdGqi5IiqB3Vuy0FERAQAwMHBAWpq4iuRTk5OQtvUFYba6vhpZOn05H/ffoPHcWnKDYgQQggh1eJdag6m+4Ugu6AYbg6m+Hl0mzo9Wkwe+KcnP/f0I84++aDskAghhNRSQVFJ3A3mP45sjeaW+kqOqHp85WEPSwMtxKXkYndgtLLDIYSQWmnVqlXw9/dHfHw8YmNjsXPnzgrnsWDBAuTm5kJNTQ2XL1/GsmXL0LVrV/Tu3Ru+vr7YtGkTgNIO7s2bN4vNR09PD4wxFBcXIy4uDj4+Pti1axd69eolMCKcEELI/9yJSoL30cdgDJjW1QZf9bJXdkjVhjq3qygvLw9JSUkAgMaNG0tMa2xsDF1dXQBAXFyc0Pu7du2Cp6cnPD09cezYMaHXdu3aJTLf/Px8ZGRkCPwpQ19nC4xoZ4USBnz332PkF9Hd04QQQkhdlp5TCM89IUjMzIeTpT7+nNwRGmp0eSmLVo0M4eVROi3fylPhSMzMV3JEhBBCaptPGXlYcDgMjAHjOjXB5x0lt0nUJToaalgyqHQAgc+NKMSn5yk5IkIIqX3WrFmDoUOHVnp68uDgYAQEBAAAZs6cia5duwql8fb2RosWLQAAW7duRWFhocQ8VVRU0LhxY8ydOxe+vr4ICgrCTz/9VKn4CCGkLnv2IR1f7H+AguISDG5tiVXDWtarwSbU+lhF/NOp6OnpSU1f1rmdlZUl9F5gYCD27t2LvXv34uHDhwBKpy8ve61s+vPyNmzYAENDQ+6vSRPlTTvww7CWMNXVQOSnLPjceK20OAghhBCiWPlFxfhifyiiErJgaaCFPdNdYKClruywapV5Hg5o0dAAqTmFWHHqKRhjyg6JEEJILVFUXIKvD4YhKasATpb6WDOipbJDqnYj2lmho40xcgqK8fPFF8oOhxBC6p1Tp05xj6dPny4yjYqKCqZOnQoASEtLw40bN2TOv2ya9Js3b1Y6RkIIqYviUnLguScEWflF6Gxngi1j20FVpf50bAPUuV1leXn/uztYQ0NDanpNTU0AQG5urtB7fn5+YIyJ/fPz8xOZ59KlS5Gens79iRoVXl1MdDWwdkQrAMCOG1GI+EjTxhBCCCHl+fj4wNnZGS4uLsoOpVJKShgWHXuC+9Ep0NdUw57pLmhoqK3ssGodDTUV/DqmDdRUeLj07BPOPKbpyQkhhMjml8svERyTAj1NNfw5uSO01FWVHVK14/F4+GGYM3g84GTYezyITVV2SIQQUq+UDcTS1dVFx44dxabr2bMn9zgoKEjm/D98KK0fqavTTdSEEFImJbsA0/4J5mZR9J3aqV7WBahzu4q0tLS4xwUFBVLT5+eXTjmprS2/BmBNTU0YGBgI/CnT4NaWGNjSEkUlDN/99xhFxSVKjYcQQgipaby8vPD8+XOEhIQoO5RK+fniC/g//gA1FR7+mtIRLRoq99qjNmtpZYivezcDAPxw5hkSMmlaVUIIIZJdff4JO2+9AQBs+rwN7Mx0lRyR8rRpbIQx/z8d+xr/ZygpoVlQCCGkukRERAAAHBwcoKamJjadk5OT0DZlnj9/jpycHKFtcnJysHDhQgDA4MGD5REuIYTUejkFRZjhF4I3SdloZKQNv+muMNSunzcAUed2Fenr63OPRU01Xl52djYA2aYwr6iaMgqMx+Nh7ciWMNRWR/j7DPgGvFFqPIQQQgiRn313Y7DzdmnZ/vPoNnBzMFNyRLXfVx72aGllgLScQiw/GU7TkxNCCBErLiUH3sceAwA8u9licOuGSo5I+RYNaA49TTU8eZeO/x6+U3Y4hBBSL+Tl5SEpKQkA0LhxY4lpjY2NuaU6y884evToUVhaWmLw4MH46quvsGTJEkyZMgXW1ta4ePEi3N3d8e2334rNOz8/HxkZGQJ/hBBSFxUWl8DrwEM8ikuDobY69s5wgaWhlvQN6yjq3K4iLS0tmJqaAgDevZNciUpNTeU6txWxLnZNGgXWQF8Lq4Y6AwB+v/oKUQmZUrYghBBCSE13+Vk8Vp95BgDw7ueI0R0lN2IQ2airquDXMW2hrsrDleefcPoRTU9OCCFEWH5RMbwOPkR6biHaNTHCssEtlB1SjdBAXwvz+zgAADZdfInMvEIlR0QIIXVfZub/2nplGcRV1rldfnDY0KFDMX78eLx9+xaHDh3C5s2bceHCBbRp0wY7d+7E9evXJc6AumHDBhgaGnJ/imhzJ4QQZWOMYdmJp7jxMhGaair4x7MTHBroS9+wDqPObTlwdi7txI2KikJRUZHYdC9evOAet2hR9yuhn3VohF7NzVFQVILF/z1BMU0PRgghhNRaYW9TMf9wGEoYMMG1Ceb1dlB2SHVKi4YGmM83PfmnDJqenBBClK2mzI5W5qdzEXjyLh1GOurwmdQBGmrUpFPGs5sd7Mx0kZSVj+3Xo5QdDiGE1Hl5ef+rr2hoaEhNr6mpCQDIzc0VeL1Tp07w9fVFeHg4UlNTUVhYiKSkJFy/fh1ffPGFxOnOAWDp0qVIT0/n/sqPDCeEkLpg8+VIHHvwDio8YPvEDuhoY6LskJSOakJy0L17dwClU44/ePBAbLpbt25xj93c3OQeR02rePN4PKwf1Rp6mmp4+DYNe+/EKDskQgghhFRCTFI2Zu4NRV5hCTyam2PdiFbg8XjKDqvO+bKXPVo3MkR6biGWnXhK05MTQoiS1aTZ0fwff8C+u7EAgN/GtUMjI/Gj2OojDTUVrBxaOojgn6BoRCdlKzkiQgip27S0/jcVbkFBgdT0+fn5ACBxFHZlaGpqwsDAQOCPEELqkn13Y7D9RunNmz+Nao1+zhZKjqhmoM5tORg5ciT3eM+ePSLTlJSUYN++fQAAIyMjeHh4yD2OmlTxLmNlpM1Nlbbp0gvEJlMFkxBCCKlNkrPy4bknGCnZBWjdyBDbJ3aAmipdQipC2fTkGqoquPYiAScevld2SIQQQmqA14lZWHL8CQDAy8MeHs0bKDmimsmjeQP0dDRHYTHDj2efKzscQgip0/T1/zcdbvmpxkUpW6pTlinMCSGElLrw9CN++P/lAb/t64gJrtZKjqjmoJZJOXB1dYW7uzsAYPfu3bh7965Qms2bNyMiIgIAsGDBAqirq1drjMo0wbUJujY1RV5hCZYcf4oSmp6cEEIIqRVyC4oxa18oYpJz0NhYG7s9O0FXU/K0cKRqmlvqY0Hf0unJV/s/Q3w6TU9OCCH1WW5BMb769yGyC4rR2c4E3/Z1VHZINRaPx8PKoc5QU+Hh2osE3HyZoOyQCCGkztLS0oKpqSkA4N27dxLTpqamcp3biloTu6bNaEoIIVV1/00yFhx5BMaAiZ2tMb8PLQ/Ij1onAQQGBiIq6n9rMiUlJXGPo6Ki4OfnJ5De09NTKI+tW7fCzc0Nubm56N+/P5YtWwYPDw/k5ubi8OHD8PX1BQA4OjrC29tbIfvh4+MDHx8fFBcXKyT/yuLxeNg4ujUG/h6Au2+ScSjkLSZ1tlF2WIQQQgiRoLiEYf7hMIS9TYOhtjr8pruigb6W9A1Jlc3p0RSXn8Xj8bt0LD3xBP94utA08IQQUk+tPB2Ol58yYaaniT8mtKfZU6RwaKCHad1ssTswGuvOPoebgxnU6TsjhBCFcHZ2RkBAAKKiolBUVCR2fewXL15wj1u0aKGQWLy8vODl5YWMjAwYGhoq5DMIIaS6vIjPwKx9oSgoKkF/ZwtaHlAE6twGsGvXLuzdu1fke0FBQQgKChJ4TVTndvv27XHkyBFMnjwZGRkZWLZsmVAaR0dHnDt3TmDaFnmqyYW4jakuvhvQHGvPPseG8y/g0bwBrGiNMEIIIaRGYoxhrf8zXHn+CRpqKvh7aic4NKDp46qL2v9PTz5kWyBuvEzEsQfvMLaTYkY4EEJIXfbvv/8iICAADx48wNOnT1FQUIA9e/aIrNPXREdD4vDfg3dQ4QF/TGiPBgZ0k5ks5vdphlNh7/E6MRv77sZiZnc7ZYdECCF1Uvfu3REQEIDs7Gw8ePAAnTt3Fpnu1q1b3GM3N7fqCo8QQmql92m58PwnBJl5RehkY4xtE9pDVYU6tsuj21flaNiwYXjy5Am+/fZbODo6QkdHB0ZGRujUqRN+/vlnhIWFwcGh/k4dMK2bLTraGCMrvwjLTj4FYzQ9OSGEEFIT/R3wBnvvxgIAtoxtC1c7EyVHVP80s9DHwv6lU8+u83+OD2m5So6IEEJqnxUrVsDX1xexsbFo2LChssOpkOcfMrDydDgAwLt/c3S1N1VyRLWHobY6Fg1oDgD4/WokkrPylRwRIYTUTSNHjuQe79mzR2SakpIS7Nu3DwBgZGQEDw+P6giNEEJqpbScAkz7JxjxGXlo1kAPu6Z1gpa6qrLDqpGocxuAn58fGGMy/0liY2ODLVu24OXLl8jOzkZqaipCQkKwePFi6OjoVNMe1UyqKjz8PLoNNNRUcPNlIk48fK/skAghhBBSjv/jD1h/vnTauBVDWmBoGyslR1R/zXZvivbWRsjML8KSE3RjICGEVNSuXbsQExODxMREfPnll8oOR2aZeYXwOvgQ+UUl8Ghujrk97ZUdUq0ztlMTtLQyQGZeEX69HKnscAghpE5ydXWFu7s7AGD37t24e/euUJrNmzcjIiICALBgwQKoq6srJBZac5sQUtvlFRZj5t5QRCVkwdJAC3tnuMJIR0PZYdVYNC15HVJT19zm59BAD9/0bYZNF19ijf8zuDczo6nVCCGE1Ds1tcy+/yYZ3kcfAwA8u9nSNJ5KpqrCwy+ft8XgbQG4HZmIIyFxGO9qreywCCGk1ujbt6+yQ6gwxhi+P/4E0UnZsDLUwpax7aBC0xBWmKoKDz8Ma4mxO+/icMhbTOpsjVaNatbybYQQomyBgYGIioriniclJXGPo6Ki4OfnJ5Be1LIeW7duhZubG3Jzc9G/f38sW7YMHh4eyM3NxeHDh+Hr6wugdLlOb29vhewHULOX6ySEEGmKiksw72AYHsSmwkBLDftmutKyvlLwGA0BqXPKCvH09HQYGBgoOxwhRcUlGLXjDp6+T8eAlhb4a3JH8HhUWSeE1C01/VxMaoaadJxEJWTisx13kJFXhAEtLbBjUkda06eG+Pv2G/x0PgJ6mmq49G0PNKIKDiFyU5POw3VJQkICgoODERwcjJCQEISEhCA5ORkAMG3aNKHGckliY2Oxbds2nDt3DnFxcdDU1IS9vT3Gjh0LLy8vmWdI27hxI5YuXVqpNber8zjZExSNNf7Poa7Kw5E5XdHB2lihn1fXfX0oDP6PP8DV1gRH5nShtgdCajEqs+XP09MTe/fulTm9uG4Ef39/TJ48GRkZGSLfd3R0xLlz56pluU46TgghtQ1jDMtOhuNQ8FtoqKng35mda/XygNV1HpbbyO3Xr1/jzJkzePz4MZKSkpCbmytx6kQej4dr167J6+NJLaKmqoJNn7fBsD8CcenZJ5x/Go8hbWrX+meEEFKbUZlNykvIyMO0f0KQkVeEDtZG2Dq+PXVs1yAzutvh4rN4PIhNxff/PcH+ma7UOE9IPVCby2sLCwu55COqsTwnJwehoaEIDQ3Frl27qq2xvDqEvU3F+vOlU7cuHdSCOrblYOkgJ1x5Ho/gmBScffIRw9rSciuEECJvw4YNw5MnT7B161acO3cO7969g4aGBhwcHDBmzBjMmzev3i/XSQgh4my99gqHgt9ChQdsG9++VndsV6cqd27n5OTAy8sL+/fvF6poM8aEGt7K0lCDXP3WoqEBvDwcsPXaK6w6HY6u9qYw0aX1AwghRJGozCaiZOUXYbpfCN6n5cLOTBe7prlAS11V2WERPqXTk7fBoK0BCIxKwsHgt5jU2UbZYRFCFKSuldfW1tZwcnLC5cuXK7RdWFgYxo0bh9zcXOjp6WHp0qUC05z+/fffiIyMxJAhQxAaGgp9fX0F7UH1SM0uwLyDYSgsZhjUyhLT3WyVHVKdYGWkjbk9HfDb1UhsOB+Bvi0soK1B1zmEEAIAfn5+FZpNRRIbGxts2bIFW7ZskUt+FVVTl/4ihBBJDt5/i9+vvgIArB3RCgNbWSo5otpDpSobM8YwatQo7Nu3DyUlJTA1NUXbtm25yrW7uzucnZ2hqqrKvda8eXP07NkTPXr0qHr0RICPjw+cnZ3h4uKi7FBk4uXhgOYW+kjOLsAa/2fKDocQQuo0KrOJKIXFJfA68BDPPmTAVFcDftNd6GazGqqpuR4WD3QCAKw/F4G4lBwlR0QIUYS6Ul6vWrUK/v7+iI+PR2xsLHbu3FnhPBYsWIDc3Fyoqanh8uXLWLZsGbp27YrevXvD19cXmzZtAgBERkZi8+bN8t6FalVSwrDw6CO8T8uFrakOfv68TY29WaE2+qJHUzQy0saH9Dz8deu1ssMhhBCiAF5eXnj+/DlCQkKUHQohhMjk8rN4rDj1FADwdW8HTO5Cgxgqokqd28eOHcOVK1cAAD/88APi4+Oxb98+7v1bt27h6dOnSE1NxZYtW6Crq4uUlBSsW7cON27cqFrkREhtK8Q11EqnJ1fhAacffcDV55+UHRIhhNRZVGaT8hhjWHEyHLciE6GlroLdni6wMdVVdlhEgundbOFia4zsgmJ8f/wJSkrET09MCKmd6kp5vWbNGgwdOrTS05MHBwcjICAAADBz5kx07dpVKI23tzdatGgBANi6dSsKCwsrH7CS/XnrNW68TISmmgp2TOoIAy11ZYdUp2hrqGLZ4NJj5a9br/E+LVfJERFCCCGEkPosNCYFXx8KQwkDxnZqjIX9HJUdUq1Tpc7tgwcPAgC6du2KH374ASoqKiLvLtbV1cU333yDa9euITMzE5999hk+fPhQlY8mdUTbJkaY3aMpAGD5qadIz629DRKEEFKTUZlNyvvjehSOhMZBhQf8MaED2jUxUnZIRAoVFR5++bwttNRVcOd1Mg4Ev1V2SIQQOaPyutSpU6e4x9OnTxeZRkVFBVOnTgUApKWl1ajO/Yq4+zoZmy+/BACsHdESzlYGSo6obhrc2hKd7UyQX1TCrWtOCCGEEEJIdXv1KRMz94Yiv6gEfZwaYP2o1jRrUyVUqXM7NDQUPB4Ps2fPlim9i4sL5s6di6SkJGzbtq0qH03qkG/7OqKpmS4+ZeRj/TmqZBJCiCJQmU34/ffgHbZciQQArBnRCv2cKzeyjlQ/WzNdfP//05NvOB+Bt8k0PTkhdQmV16UCAwMBlHbid+zYUWy6nj17co+DgoIUHpe8JWTmcSM2PuvQCGM7NVF2SHUWj8fDqmHOUOEB5558xP03ycoOiRBCCCGE1DMJmXmY9k8w0nML0d7aCNsndoCaapW6aeutKn1rSUlJAICmTZtyr6mr/2/6rNxc4amehgwZAgA4e/ZsVT6a1CFa6qrY9Hkb8HjAkdA4BLxKVHZIhBBS51CZLT///vsv5syZg06dOkFTUxM8Hg9+fn7KDktmAa8SseT4EwDAlz3tMYXW9Kl1pnW1haudCXIKivHdf49penJC6hAqr0tFRJTe9Ozg4AA1NTWx6ZycnIS2qS2Kiksw/1AYkrLy4Wihhx9HtqIRGwrW0soQ412tAQCr/Z+jmMpPQgipM3x8fODs7AwXFxdlh0IIIWKtOxuBD+l5aGqui93TXKCtoarskGqtKnVul1Uy9fX1udf4H8fHxwttY2hoCACIi4urykeTOqaTrQmmdbUFACw5/hTZ+UXKDYgQQuoYKrPlZ8WKFfD19UVsbCwaNmyo7HAq5PmHDMz99yGKShiGt7XC4gHNlR0SqQQVFR5+/bwtdDRUcT86BfvvxSo7JEKInFB5DeTl5XGd/I0bN5aY1tjYGLq6ugBE7/+uXbvg6ekJT09PHDt2TOi1Xbt2icw3Pz8fGRkZAn/y9vvVV7j3JgW6GqrYMakjdDTEd+IT+fHu5wgDLTVEfMzAkZC68ZshhBACeHl54fnz5wgJCVF2KIQQIlJQVBL8H3+ACg/YNr49THQ1lB1SrValzm0rKysAQGLi/0baWlpaQltbGwDw8OFDoW1evXoFACgqos5Leavtd6h9N6A5Ghtr431aLjZdfKHscAghpE6hMlt+du3ahZiYGCQmJuLLL79Udjgy+5CWi+l+wcjKL0KXpib4ZUwbqKjQCLHaytpUB0sGlY5Y3HjhBWKTs5UcESFEHqi8BjIzM7nHenp6UtOXdW5nZWUJvRcYGIi9e/di79693HcXFBTEvVY2/Xl5GzZsgKGhIffXpIl8pwu/8TIB229ElX7W6DZwaCB9P4l8mOpp4pu+jgCAXy+/RHpOoZIjIoQQQgghdV1+UTFWng4HAEzpYoNWjQyVHFHtV6XO7bZt2wIAnj59yr3G4/HQuXNnAMCOHTsE0hcWFmLLli0AgGbNmlXlo4kItf0ONV1NNfw8ug0AYO/dWARHpyg5IkIIqTuozJafvn37wsamdk3lnZ5bCM89wfiUkY9mDfSwc0onaKrR1Ee13eTONuja1BS5hcX47tgTmp6ckDqAyuvSkdtlNDSkj2bQ1NQEIHrKdj8/PzDGxP6JW1Zk6dKlSE9P5/7kOSr+fVouvj3yCEBpw9bwtlZyy5vIZkpXGzg00ENKdgG2Xnul7HAIIYQQQkgdtysgGm8Ss2Gmp4mF/WkWRXmoUud27969wRjDxYsXBV6fMWMGGGO4efMmevXqBR8fH2zatAmurq4IDQ0Fj8fD2LFjqxQ4qZvcHMwwwbX0rvjF/z1GbkGxkiMihJC6oSaU2QkJCTh79ixWrVqFQYMGwczMDDweDzweD56enhXKKzY2Ft7e3nBycoKuri5MTEzg4uKCX375BTk5OXKJt67ILyrGl/sfIPJTFhroa8JvhisMtdWlb0hqPBUVHjZ93gY6GqoIjkmB350YZYdECKmimlBeK5uWlhb3uKCgQGr6/Px8AOBGt8uDpqYmDAwMBP7koaCoBF4HHiItpxCtGxlixdAWcsmXVIy6qgpWDXUGAOy7G4OohEwpWxBCCCGEEFI5cSk5+ON66Q2Vy4c4UZucnFSpc3vUqFHg8Xi4ceMG3rx5w70+efJkDBw4EIwxBAQEYP78+Vi6dCmePHkCAGjXrh0WLlxYtchJnbV0cAtYGmghJjkHv12NVHY4hBBSJ9SEMtvCwgLDhg3DunXrcPHiRSQnJ1cqH39/f7Rp0wZbtmzBy5cvkZOTg9TUVISGhmLx4sVo3749oqKi5BJzbccYw/f/PcHdN8nQ1VDFnukuaGQkv8Z/onxNTHSwbHBp58imSy8QnUTTkxNSm9WE8lrZ+NcYFzXVeHnZ2aXnPVmmMK8oeS/9teFCBB7FpcFASw07JnWgWVSUqIejOfq2sEBRCcMa/+dgjGY/IYQQQggh8rf27HPkFZags50JRrZrpOxw6owqdW5bWlqisLAQeXl5aNq0qcB7J0+exPLly2FhYcFN+WVoaAgvLy/cuHFD4G5sQvgZaKlj/WetAAC7At7gUVyacgMihJA6oKaV2dbW1ujfv3+FtwsLC8O4ceOQkZEBPT09/PTTT7hz5w6uXbuG2bNnAwAiIyMxZMgQgTU766tfLr3EqUcfoKbCw5+TO6KlFa3pUxdN6myN7g5myCsswXfHHqOYpicnpNaqaeW1MmhpacHU1BQA8O7dO4lpU1NTuc5tea+LDch36a/zTz9iT1AMAGDz2HZoYqJT5TxJ1awY0gIaqioIeJWEaxEJyg6HEEJIFcj7hjRCCJGHaxGfcOX5J6ip8PDjyFbg8XjKDqnOUKtqBioqovvHNTU1sW7dOqxbtw4pKSkoKiqCubk5/fOITHo7WWBU+0Y4GfYei/97DP+vu9Nd7YQQUkXKLrNXrVoFFxcXuLi4wMLCAjExMbCzs6tQHgsWLEBubi7U1NRw+fJldO3alXuvd+/eaNasGRYvXozIyEhs3rwZq1evFsrD29ubm8JU1s+sjeuYHrgfix03XwMANnzWGj0czZUcEVEUHo+HjaNbY+DvAQiNTcWeoGjMcm8qfUNCSI2k7PK6JnB2dkZAQACioqJQVFQENTXRTRcvXrzgHrdoUXOn+I5Oysbi/0pH2c/p0RT9nC2UHBEBAFszXczoboe/br3Gj+eew93RjNodCCGklvLy8oKXlxcyMjJgaEg3dRNClC+vsBir/Z8BAGa626GZhb6ULUhFVLlzWxYmJibV8TGkjlk11BkBrxIR+SkLPtejsLB/c2WHRAghdZ4iy+w1a9ZUafvg4GAEBAQAAGbOnCnQsV3G29sbe/bsQUREBLZu3Yrly5dDXV1wLZudO3dyo7xk8fnnn9e6zu1rEZ+w8lQ4AOCbvs0wppP8R7ORmqWxsQ6WD2mBpSee4pdLL+Hh1AD25vKfopcQUjPU9Tp29+7dERAQgOzsbDx48ACdO3cWme7WrVvcYzc3N7nH4ePjAx8fHxQXF1cpn00XXyArvwgutsZYNIDqtTXJvN4OOP7wHWKSc7AnKAZf9rRXdkiEEEIIIaQO2HEjCnEpuWhoqIX5vWtXu2JtUKVpyUnNUtemXzHW1cC6EaXTk++4+RrPPqQrOSJCCCHKdOrUKe7x9OnTRaZRUVHB1KlTAQBpaWm4ceOGUJqsrCxuOldZ/nr16qWI3VGYx3FpmHcwDCUMGNupMRb0oQvo+mK8SxO4NzNDfhFNT04Iqd1GjhzJPd6zZ4/INCUlJdi3bx8AwMjICB4eHnKPQ17Tkm/6vA0muDbBHxM6QF2VmmFqEj1NNXw/0AkA8Me1V0jIzFNyRIQQQgghpLaLTsrGX7feACgdxKmrWS3jjOsVqlXVIfJcD6ymGNS6IQa3tkRRCcPi/56gsLhE2SERQghRksDAQACArq4uOnbsKDZdz549ucdBQUEKj6smeZucg5l7Q5BbWIwejub4aVTrOjldLRGNx+Ph59FtoK+phodv07A78I2yQyKEkEpxdXWFu7s7AGD37t24e/euUJrNmzcjIiICQOkSIuVnaqlJ9LXUseGzNrA0rBvrotc1n7VvhLZNjJBdUIxNF18qOxxCCCGEEFKLMcaw6nQ4CopL0NPRHANbWSo7pDpJptsFZsyYAaC0wWz37t1Cr1dG+bwIEWfN8Fa48zoZzz5kwPf2G3h5OCg7JEIIqbHqcpld1oDt4OAgdu1NAHBychLapj5IzS6A555gJGUVwLmhAXZMotFh9ZGVkTZWDG2B7/+PvTsPi7Le/z/+vId9X0RxxQ1IcE8xDfetxbWsbDGXzLJDJ79ly9HKk53M0zlpWT8qDROtTNM6mprlkgu4gruBIiAIorKI7PvM7w9izAQFZ+CeGd6P65rrGod7eXHONG/m/tyf9+eHU3y4LY6hnZrh20zWdRLC1FhyvYbKG9Li4+P1/87MzNQ/j4+PJzw8/Ibtp06detMxlixZQnBwMEVFRYwcOZK5c+cyZMgQioqKWLNmDcuWLQPA39+f2bNn18vvYay25MK0aTQK/xwTyMOf7Wf9kVSe7tuW7m3c1Y4lhBBCCCHM0M+nLhNxLhNbaw3zx3aWSSf1RNHpdLftV6jRaPT/B/z5S92fX68LnU6HoijyBbGe5Obm4ubmRk5ODq6urmrHMYr/HUvl5bUnsLXS8POs/nKRVghh8tT6LDanmp2UlET79u0BmDJlyk0Xuv+suLgYBwcHAEaNGsXmzZtveWxnZ2cKCgro27dvtbO9DBEWFqafRX7q1CmOHj1KcHAwvr6VN1/179+fZ599ttp9S0pKKCkp0f87NzeXNm3aGPw+KS6r4KmwQxxJzqaVuwP/+9u9NHOV2WGNlU6nY+qKKPbEZdC9jTs/zOyHtdzoIES1pF7Xj6lTp7Jy5cpab1/TZYlNmzYxadIkcnNzq/25v78/W7Zs0dfg+mKJ37HFzV5Ze5wfj12kp487P8y8F41GLkQKYUrks1jUhrxPhBBqyi8pZ/iiPVzOLWbWMD9eHuGvdqQG11Cfw7Waue3j41PtF+yaXhfC2Mb3aMWmE5f47Uw6r60/yfqZ92IlXzSFEOImllqz8/Ly9M+dnZ1vu72TkxMFBQXk5+cbPUtkZORNF+z37dt3Qwv0mga3Fy5cyPz5842ap0Kr4+W1xzmSnI2rvTXh04JkYLuRUxSFf0/oysiP9nIi5RpfRpznhcEd1Y4lhPgTS63XxjZmzBhOnjzJkiVL2LJlC6mpqdja2uLr68ujjz7Kiy++iKOjo9oxhYV444FO/PL7ZY5duMbGExd5qGdrtSMJIYQQQggzsmRHHJdzi/HxdJTrMPWsVjO3hXmx1DvULuUUMXLxXvJKynlrVADPDuigdiQhhKiRpX4WG1NdZm6npKTg4+MDwNNPP82qVatueWwfHx9SUlLo2LHjDW1R1VYfM7ff3RTDV/vOY2ulYdX0PvTt0MRYcYWZWxedwmvrT2JrpWHzS/3x95bON0L8ldRrURvyPmk8QnfF899fz+LtasdvswfjZFerOSFCiAYgn8XiVv68lEhcXJy8T4QQDe7s5Twe/CSCCq2OFdOCGHJXM7UjqaKh6rX0JxRmo4WbA2+OCgDgw21nScosUDmREEKIhmJvf30mcmlp6W23rxpArmplbirs7OxwdXW94WGIsIhEvtp3HoAPH+suA9viBo/0as3QTs0ordDy6roTlFdo1Y4khBBmJTQ0lMDAQIKCgtSOIhrI9P7t8fF05EpuCZ/tNp0bJIUQQtxaSEgIMTExREVFqR1FCNEI6XQ63t5wmgqtjvs6ezfage2GZNDg9qpVq1i1ahWHDh0yVh4hbmliUBuCfZtQXKblHz+eRKuVxgNCCFEb5l6zXVyuzzitTavxgoLKG6Bq08JcDca4WB6TlsuCn2MB+McDnRjbvaWx4gkLoSgKCx/uiqu9NSdTc1i6N1HtSEKI2zD3em1p5EJ542NvY6W/qf7LiPNcyCpUOZEQQgghhDB1Px69yOGkqzjYWDFvTGe14zQKBg1uT506lWnTppGcnGysPELckqIo/PvhbjjYWHEw8SqrD19QO5IQQpgFc6/Z9vb2NGlSOSs5NTX1lttmZ2frB7fbtGlT79nuhDEulge2dOXtUYFMvbcdzw+UpTpE9bxd7XlnbOUXq493xHHmcq7KiYQQt2Lu9VoISzAy0Jv+vl6UlmtZ8HOM2nGEEEIIIYQJyyksY+HWysknLw3zo5W7aXWRtFQGDW67ubkB4OfnZ5QwQtRGG09H3rj/LgAW/hzLxWtFKicSQgjTZwk1OzAwEID4+HjKy8tr3O7MmTP65wEBAfWeS03P9G/PO2M7oyiK2lGECXuoZyuGB3hTVqHj1XUnKJP25EKYLEuo10KYO0VRmDcmECuNwq+/X2FffKbakYQQQgghhIn6cNtZMvNL8W3mzPT+7dWO02gYNLjdvn3l/1HZ2dlGCSMM05jWA5vcrx2923pQUFrBnB9PodNJe3IhhLgVS6jZ/fv3Bypbjh85cqTG7fbs2aN/HhwcXO+57kRjqtlCfYqi8P5DXXBzsOH0xVw+352gdiQhRA0soV4LYQn8vV14um9bAOZv+p1yuTFMCCGEEEL8xanUHL45VNl161/jumBrbdCQq6gDg/6Xfuihh9DpdGzatMlYeYQBGtN6YBqNwn8e6YadtYa9cRn8cPSi2pGEEMKkWULNHj9+vP75ihUrqt1Gq9WyatUqANzd3RkyZEhDRKuzxlSzhWlo5mrPu+Mq25N/+ts5YtKkPbkQpsgS6rUlkZvRGrf/G+6Hh6MNcVfy+faQLIkmhBBCCCGuq9DqeGvDKXQ6GNejJf06NlE7UqNi0OD2rFmzaNu2LZ9//jk7d+40ViYhaqVDU2deHuEPwLubfic9t1jlREIIYbosoWb36dOHAQMGALB8+XIOHDhw0zaLFi0iNrZynZtZs2ZhY2PToBmFMGVju7dkZOD19uSl5TILTQhTYwn12pLIzWiNm7ujLa+MrFwSbfH2OLILSlVOJIQQQgghTMWaqAucSM3Bxc6aNx+07GURTZFBg9uurq5s376dTp06cf/99/Pcc8+xe/durl69Km2iRYN4tn97urV2I7e4nDc3nJb3nRBC1MAUanZkZCTh4eH6x/r16/U/i4+Pv+Fn4eHh1R5jyZIlODg4UF5ezsiRI1m4cCEHDx5k165dPP/887z++usA+Pv7M3v27Ib4tYQwG4qisOChrng42hBzKZfQXfFqRxJC/IUp1GshxHVPBLWhU3MXcorKWLw9Tu04QgghhBDCBGTll/CfX84C8MpIf5q52qucqPFRdAZ8Q7aystI/1+l0KIpS+xMrCuXl5Xd6anELubm5uLm5kZOTg6urq9px6t2Zy7mM+TSSsgodnz7RkzHdW6odSQghTO6z2BRq9tSpU1m5cmWtt6/pT5RNmzYxadIkcnOrb6vs7+/Pli1b8PX1vaOcDSE0NJTQ0FAqKiqIi4szmfeJaBw2nUjj798dw1qjsCEkmC6t3NSOJIRqpF6L2jC194loWPsTMnnyy0NoFPh51gA6NZf3gBBqkM9icSvyHVsI0ZBeW3eCdUdSCWzhyk8vBmNtJWttV2moem3Q/+I6nU7/+Ou/a/MQN4qKiuLBBx/E3d0dJycn+vbty/fff692LJPXqbkrLw7xA+Cdn34nK79E5URCCGF6LKlmjxkzhpMnT/Lyyy/j7++Po6Mj7u7u9O7dmw8++IBjx46Z9MA2SJtToa7R3VrwQJfmlGulPbkQpsaS6rUQluLejl480KU5Wh3M/ylG/lsTQggTJN+xhRANJTrpKuuOpALwr/FdZGBbJdaG7PzPf/7TWDkavV27dnHfffdhb2/P448/jouLCz/88AMTJ04kJSVFWqvexguDO7L19CXOXM5jwZZYFk/soXYkIYQwKaZQs2/Vbryu2rZty+LFi1m8eLFRjidEY6IoCv8a34VD569y5nIe/++3c/o1RYUQ6jKFei2EuNncBwPYeSadA4lZ/Pr7Ze7v0kLtSEIIIYQQooGVV2h5a8NpAB4PakOvth4qJ2q8DGpLLoyjvLycTp06kZqaysGDB+nRowcAOTk59OnTh6SkJOLi4mjbtm2tjtdY2/ScSLnG+M/2odPB98/3o097T7UjCSEascb6WSzqRt4nQk1bTl4iZPVRrDQKG/4WTNfW0p5cND7yOSxuRVqcij9btO0sn/4WT2sPB3a8Mgh7G6vb7ySEMBqp2aI25H0ihKhPYRGJvLclFndHG36bPRhPJ1u1I5kcs2hLLozjt99+IyEhgSeffFI/sA3g5ubG3LlzKS0trdMapY1V9zbuPNHHB4C3N5ymrEJabAohhBBC1GRUtxaM6taCCq2O2euOU1JeoXYkIYQwKdLiVPzZC4M70tzVntTsIsIiEtWOI4QQQgghGtCV3GI+3nEOgH/c30kGtlXW6Ae309PT2bx5M/PmzeOBBx7Ay8sLRVFQFIWpU6fW6VjJycnMnj2bTp064eTkhKenJ0FBQfz3v/+lsLCwxv12794NwMiRI2/62X333QfAnj176pSlsXpt5F14ONpw9koeqw4kqx1HCCGEqFZoaCiBgYEEBQWpHUU0cv8a1wUvZ1viruTzyc5zascRQgghTJajrTVzHuwEQOiuBC7lFKmcSAghhBBCNJT3tsSSX1JOTx93HuvdRu04jZ5Ba27/VUJCAgcOHODy5csUFhbyt7/9DS8vL2Oewui8vb2NcpxNmzYxadIkcnNz9a8VFhYSHR1NdHQ0YWFhbNmyBV9f35v2PXeu8kKin5/fTT9r3rw5zs7O+m3ErXk42fKPBzrxxg+n+Gh7HKO7tcDb1V7tWEIIYXLMsWZbkpCQEEJCQvSteoRQi6eTLe+N78LMb47y+e4ERgY2p3sbd7VjCSH+IPVaCNMytntLvj6QTHRyNh9sPcPHj/dUO5IQQgghhKhn++Iz2XQiDY1SOUlAo1HUjtToGWXm9tGjRxk4cCD+/v5MmTKFN954g/nz55Oenn7DdqGhoTRr1gw/Pz/KysqMcWqj8vHxqXb29O0cO3aMiRMnkpubi7OzMwsWLGD//v3s3LmTGTNmABAXF8eoUaPIy8u7af+cnByAGi9uu7q66rcRt/dorzb0aONOfkk57/8cq3YcIYQwKZZSs4UQxnN/lxaM7d4SrQ5eXXeC4jJpTy6E2qReC2GaFEXhn2M6oyiw4XgaR5Kvqh1JCCGEEELUo5LyCt7eeBqAyf3a0aWVTFIxBQYPbm/evJng4GD27duHTqfTP6ozefJkioqKSExMZPPmzYae2ijmzZvHpk2buHz5MsnJySxdurTOx5g1axZFRUVYW1uzbds25s6dS79+/Rg6dCjLli3jP//5D1A5wL1o0SJj/wriLzQahffGd0GjwMbjaRxIyFI7khBCmARzr9lCiPozf2xnvJztOJeer19DSgihDqnXQpi2rq3deKxXZSvKd36KQaut/r9PIYQQQghh/sIizpOYUYCXsx2vjPRXO474g0GD25cuXeKJJ56gpKSEwMBAtm7dWu3M5CouLi6MHTsWgK1btxpyaqOZP38+o0ePvuP25IcPHyYiIgKA6dOn069fv5u2mT17NgEBAQAsWbLkpjvqq2Zs1zQ7W1qW1l2XVm5M6tsWgHkbT1NWoVU5kRBCqMsSarYQov54ONny/kNdAFi2N4GjF7JVTiRE4yT1Wgjz8Op9d+FiZ82pizmsP5KqdhwhhBBCCFEPUq4W8ulvlRMA3hoVgKu9jcqJRBWDBrc/+ugjCgoKaNu2LREREdx33304OTndcp/Bgwej0+k4cuSIIac2GRs2bNA/nzZtWrXbaDQaJk+eDMC1a9fYtWvXDT+vWmu7unW1L1++TH5+frXrcYtbmz3iLpo42XIuPZ8V+86rHUcIIVQlNdu0hIaGEhgYSFBQkNpRhNAb2bk5D/VshVYHr0l7ciFUIfXatEi9FjVp6mLHS8Mqr9P859cz5BXLsgBCCCGEEJZm/qYYisu09O3gybgeLdWOI/7EoMHtX375BUVRmD17Nu7u7rXap1OnTgCcP28Zg42RkZEAODk50atXrxq3GzRokP75vn37qv3Ztm3bbtrv119/vWl/UTtujjb844HK99vHO85xKadI5URCCKEeqdmmJSQkhJiYGKKiotSOIsQN/jkmkKYudiRkFLB4e5zacYRodKRemxap1+JWptzbjg5eTmTml/L/fotXO44QQgghhDCiHTFX2BF7BWuNwr/GdUFRFLUjiT8xaHA7OTkZgD59+tR6H1dXVwDy8/MNObXJiI2NBcDX1xdra+sat6u64PDnfaoMGzaMDh06sHr1ao4fP65/PScnh/fffx9bW1v9zG9RNxPubk3vth4Ullbw3pbY2+8ghBAWSmq2EKI23B1tWfhQVwC+jEjkSPJVlRMJ0bhIvRbCfNhaa3h7dCAAX+07T2KG/DcohBBCCGEJikoreGfT7wBMH9AeP28XlROJvzJocLu8vBwArbb26xlXrSvt7OxsyKlNQnFxMZmZmQC0bt36ltt6eHjo28mlpKTc8DNra2vCwsLQarUMHDiQ5557jtmzZ9O9e3fi4uJ4//33adeuXY3HLikpITc394aHqKTRKLw7rgsaBbacvETkuUy1IwkhhCoae80WQtTe8EBvHr67FTodvLruJEWl0p5ciIYi9VoI8zKkUzMG39WUsgodC+SGeiGEUI0sJSKEMKbPdseTml1ESzd7XhoqSwabIoMGt5s3bw5AYmJirfc5fPgwAD4+Poac2iTk5eXpn9fmQkLV4HZ1d9QPGTKEyMhIgoODWbt2LZ9//jne3t6sWbOG2bNn3/K4CxcuxM3NTf9o06ZNHX8TyxbY0pXJ/doBMO+n05SW1/5CkRBCWIrGXrOFEHXzz9Gd8Xa143xmAR9uO6t2HCEaDanXQpift0cHYq1R2HkmXTqeCCEMdu7cOd5++22GDx9Oly5d6NixI/HxNy59cPr0aX7++Wf27NmjUkrTI0uJCCGMJTEjn6V7Kr+PzRsTiJNdzR2bhXoMGtweMGAAOp2OdevW1Wr70tJSli5diqIoDB482JBTm4Ti4mL9c1tb29tub2dnB0BRUfVrP/fp04etW7eSk5NDYWEhhw4dYuLEibc97pw5c8jJydE//jozXMArI/3xcrYjMaOAsMjaXygSQghL0dhrthCibtwcbfj3w92AylarUUlysV6IhiD1Wgjz07GpM2O6twRg66nLKqcRQpgrrVbLq6++SmBgIO+//z6//fYbMTExJCUlUVpaesO2Fy5cYPTo0YwYMYKLFy+qlFgIISyPTqfjnz/9TmmFlsF3NeW+zs3VjiRqYNDg9tSpUwH46aef2L59+y23LS0tZfLkySQkJKAoCjNmzDDk1CbB3t5e//yvf2RUp6SkBAAHBwej5rCzs8PV1ZWvv/6avn37MmzYMKMe3xK42tvw5qjKdc8/3RnPxWvV32AghBCWqrHXbCFE3Q3p1IxHe7VGp4PX1p2Q9uRCNACp10KYp5GB3gBsj72CTqdTOY0Qwhw9//zzfPTRR1RUVNCyZUseeeSRGrd98MEHad++PRUVFaxfv74BUwohhGX7+dRlIs5lYmutYf7YziiKonYkUQODBrcHDx7MxIkT0el0jBkzhjfeeEPfEg0gKSmJ/fv389///pfOnTuzbt06FEVh5syZdO7c2eDwanNxub6IfHWtxv+qoKAAqL+10KT9yq2N79GKPu09KSqr4L3NMWrHEUKIBtXYa7apkfXAhLl4a3QgLdzsScoq5D+/nlE7jhAWT+q1EOZpoH9TbK00JGcVkpBx++tDQgjxZzt37mT58uUAzJ07l6SkJL7//vtb7vPoo4+i0+n47bffGiKiEEJYvPySct7d/DsALwzqSNsmTionErei6Ay8pbSkpIQJEybw888/3/IuhqrTPPzww6xduxYrKytDTltvkpKSaN++PQBTpkwhPDz8ltt7eXmRlZVF9+7dOX78eI3bZWdn4+npCVT+8XG7P1AMkZubi5ubGzk5Obi6utbbeczR2ct5PPhJBBVaHSuf6cMg/6ZqRxJCWChT/Cy2tJptCUzxfSLEX+2Jy2DKV5WDa2ue60vfDk1UTiSE8Zji57DUa9Njiu8TYXqmrjjM7rMZvH7/XfxtsK/acYSwOJb8WTxx4kTWrVvHqFGj2LRpk/51jUaDoiicOnWKwMDAG/b58ccfeeSRR+jQocNNa3I3Zpb8PhFC1K8FW2L4MuI8bZs48uv/DcTeRr5f3YmG+hw2aOY2VLbE3rx5M0uXLqVDhw7odLpqH61bt+azzz5j/fr1FvWlu+oPi/j4eMrLy2vc7syZ6zNdAgIC6iWLzAK7vbuauzDt3nYA/HPjaUrKpb2mEKLxaOw1WwhxZwb5N+XxoDYAvL7+JIWlNf/NK4QwnNRrIczT8IDK1uQ7Yq6onEQIYW4OHDiAoihMnz691vu0bt0agMuXL9dXLCGEaDTOXM7lq31JALwztrMMbJsBa2MdaMaMGcyYMYOYmBiio6NJT0+noqKCJk2a0LNnT+6++26L7E/fv39/IiIiKCgo4MiRI9xzzz3Vbrdnzx798+Dg4HrJEhISQkhIiP7OCFG9WcP9+OlEGklZhXy5N5EXh/qpHUkIIRpUY63ZQog79+aoAPbGZXDhaiEfbD3D/HFd1I4khMWTei2EeRke4M1bG05zLOUaGXklNHWxUzuSEMJMpKenA9CuXbta72NjYwNwy8lWQgghbk+n0/H2htNUaHXc37k5Q+5qpnYkUQtGG9yuEhgYeFObFEs2fvx4Fi5cCMCKFSuqHdzWarWsWrUKAHd3d4YMGdKgGcWNXOxteGt0IC99d4z/tyuecT1a0cbTUe1YQgjR4BpbzRZC3DkXexs+eKQbTy8/zMoDydzXpTn3dvRSO5YQjYLUa/WEhoYSGhpKRYV0/BK319zNnm6t3TiZmsOuM+k89kfXEyGEuB0nJyeuXbtGRkZGrfdJTU0F0C+DKYQQ4s78cPQiUUnZONhYMW+MfO8yFwa1JV+1ahWrVq0iNze31vvk5+fr97MEffr0YcCAAQAsX76cAwcO3LTNokWLiI2NBWDWrFn6O+uEesZ0a0G/Dk0oLtPy7uYYteMIIUS9k5othDDUAL+mPHmPD1DZnrygRGaJCGFsUq9NS0hICDExMURFRakdRZiJqtbk26Q1uRCiDjp06ABATEztr1Fu3boVgM6dO9dLJiGEaAxyCstY+PMfY3fD/Wjp7qByIlFbik6n093pzhqNBkVROHXqVK3vJE9ISMDPzw+NRmMSbVMiIyOJj4/X/zszM5PXXnsNqGwf/uyzz96w/dSpU286xrFjxwgODqaoqAhnZ2fmzp3LkCFDKCoqYs2aNSxbtgwAf39/oqOjcXFxqZff5c93lcfFxdX7gu3m7tyVPB5YEkG5VsdXU3sztJO32pGEEBakaokIU/kstoSabYlM7X0ixO3kl5Rz30d7uXitiEl9fXhvfFe1IwlhEFP7HJZ6bZpM7X0iTFdMWi4PfhKBvY2GY2+PxMFW1msUwlgs+bP4zTffZOHChfj6+nLmzBk0msr5aDX9XRATE0Pv3r0pKSnhww8/5OWXX1YrusEuXrzIunXr+Pnnnzlz5gyXL1/G09OT4OBgXn/99RqXAK2JJb9PhBDG9/aG03x9MBnfZs78/NIAbK0Nmg8saLjPYaO3Ja8tA8bUjSosLIyVK1dW+7N9+/axb9++G16rbnC7Z8+erF27lkmTJpGbm8vcuXNv2sbf358tW7bU28A2yJrbdeXn7cL0Ae1ZuieRd36K4d6OXtjbyBdPIYT4K1Op2UII9TnbWfOfR7rxVNghvjl4gQe6tCDYV9qTC2EKpF4Lob6AFi60cnfg4rUi9sVnMjxQbqIXQtzeSy+9xCeffEJCQgIzZ87ks88+w9q6+sv227dvZ9q0aRQXF9OkSRNmzJjRwGmN69NPP+WDDz6gY8eOjBw5kqZNm3Lu3Dk2bNjAhg0bWL16NRMnTlQ7phDCAp1MvcY3h5IB+Ne4LjKwbWYa/P+tqrWqairQ5mrMmDGcPHmSl19+GX9/fxwdHXF3d6d379588MEHHDt2DF9fX7Vjir94aagfzV3tuXC1kC/2JKgdRwghTIql1mxTEBoaSmBgIEFBQWpHEaLOgn29mNT3envyvOIylRMJ0bhJvRbCdCiKwog/BrS3S2tyIUQteXt788UXXwCVy1527NiRv/3tb/qfL1myhOeee47OnTtz//33k5aWhkajITw8HGdnZ7ViG0WfPn3YvXs38fHxhIWFsXDhQtavX8+uXbuwsrLihRdeoKSkRO2YQggLU6HV8faG0+h0ML5HS/p1bKJ2JFFHDT64ffbsWQA8PT0b+tTVCg8PR6fT1fpxK23btmXx4sWcPXuWgoICsrOziYqK4vXXX8fR0bGBfiNRF0521rw9urKtz2e7E0jOKlA5kRBCmA5Tq9mWRNbwFOZuzgMBtPaonJn2/s9n1I4jRKMm9bpmUVFRPPjgg7i7u+Pk5ETfvn35/vvv1Y4lLFzVuts7z1xBq5WOCkKI2nnqqaf47rvvcHV1JSUlhaVLl6IoClDZeXT58uXExsai0+lwdnZm3bp1jBo1SuXUhnv44YcZNGjQTa8PGDCAIUOGkJ2dzalTp1RIJoSwZN8dvsCJ1Bxc7KyZOypA7TjiDtTp1u69e/dW+3pUVBSZmZm33LekpISEhAQ+/PBDFEWhR48edTm1qIU/r7ktau/Brs0Z4OdFxLlM3vnpd76aGqT/41EIIcyV1GwhRH1ysrPmv49054kvD7Im6gJ/H+pLS3cHtWMJYXakXtefXbt2cd9992Fvb8/jjz+Oi4sLP/zwAxMnTiQlJYXZs2erHVFYqD7tPXGxsyYzv5Tjqde428dD7UhCCDPx2GOPMWzYMD777DM2bdrE8ePHKS8v1/+8c+fOjB07llmzZtGsWTODz5eens7hw4c5fPgwUVFRREVFkZWVBcCUKVMIDw+v9bGSk5P55JNP2LJlCykpKdjZ2dGxY0cee+wxQkJC7mjil42NDSDdaYQQxpWZX8J/f628QXj2SH+audirnEjcCUVXh4W5NBrNDYN+VbvWZSBQp9OhKAo//PAD48ePr31SUWsNtWC7JUnIyOf+j/dSVqHjy8m99W3EhBDiTqn9WSw12zyo/T4RwlCPfXGAw0lXmftgJ54b2FHtOELUmdqfw1Kv60d5eTmdOnUiNTWVgwcP6gf+c3Jy6NOnD0lJScTFxdG2bdtaHU/t94kwP3//7hibTqTxt8Edef3+TmrHEcIiNMbPYq1Wy9WrV6moqMDT01M/2Gsst/p7oy6D25s2bWLSpEnk5uZW+3N/f3+2bNlSpyU7L1y4gL+/P56enqSkpGBlZVWr/Rrj+0QIUTevrjvB+iOpBLZw5acXg7G2krW2jamhPofr/P9adS2669LWu3Xr1oSGhsqXbmFSOjZ1ZsaADgC889PvFJXK7HchhPmTmi2EqG9je7QEYOPxNJWTCGG+pF4b32+//UZCQgJPPvnkDTPa3dzcmDt3LqWlpaxcuVK9gMLiDQ+onFEp624LIQyh0Wjw8vLC29vb6APbf+Xj48PIkSPrvN+xY8eYOHEiubm5ODs7s2DBAvbv38/OnTuZMWMGAHFxcYwaNYq8vLxaHbOsrIynn36akpISPvjgg1oPbAshxO1EJV1l/ZFUAN57qIsMbJuxOvX02LVrl/65Tqdj6NChKIrC8uXLad++fY37KYqCvb09LVq0oE2bNneeVoh69OJQXzYeT+PitSI+2x3P7JF3qR1JCCHumNRsIURDGNW1Be/89Du/p+USn56HbzMXtSMJYVYssV6bQovT3bt3A1R7kf6+++4DYM+ePXX7xYSog8H+zbDWKJxLzycps4B2Xk5qRxJCiJvMmzePoKAggoKC8Pb2Jikp6ZZ/f1Rn1qxZFBUVYW1tzbZt2+jXr5/+Z0OHDsXPz4/XX3+duLg4Fi1axDvvvHPL42m1WqZOncrevXuZMWMGTz/99J38akIIcZPyCi1vbzgNwONBbWTpGDNXp8HtQYMGVft6nz59CAwMNEogcedkzW3DONpa8/boQGZ+c4SlexJ5+O7WtJcvoDXan5DJ0j2JvHbfXXRp5aZ2HCHEX0jNFkI0BA8nWwb5N2XnmXQ2Hk+TmwOFqCNLrNfe3sZZ4qm6FqeFhYVER0cTHR1NWFhYjS1Oz507B4Cfn99NP2vevDnOzs76bYSoD26ONvRp78n+hCx2xF7h2T86xQkhhCmZP3++QfsfPnyYiIgIAKZPn37DwHaV2bNns2LFCmJjY1myZAlvvvlmjbPQtVotzzzzDKtXr2bSpEl88cUXBuUTQog/C9+fxJnLeXg42vCGLBtj9gyac3/+/HkSExPx9/c3Vh5hgJCQEGJiYoiKilI7itm6r7M3g/ybUlqh5Z8//X5Da0Bx3b74TKatiGJPXAbvbo5RO44QohakZgsh6sufW5PL305CGMbS6rVaLU5zcnKAyjbk1XF1ddVvI0R9GRFYeaOHtCYXQtxOhw4d7vjRsWNH1XJv2LBB/3zatGnVbqPRaJg8eTIA165du6FrzZ9ptVqmTZvGypUreeKJJwgPD0ejkXbBQgjjuJxTzEfb4wB44/5OeDjZqpxIGKpOM7f/qm3btsbKIYRJUBSF+WM7M/KjveyNy+DX3y9zf5cWascyKQcSspi+MoqSci0Ah89f5UjyVXq19VQ5mRDiVqRmCyHqy4hAbxxtrbhwtZDjKdfoKa29hLhjllCvTbHFqRBqGB7gzfxNMUQnZ5NdUCoXUYUQNUpKSqr1toqi3HBDqaIo9ZCodiIjIwFwcnKiV69eNW735041+/btu+nGt6qB7VWrVjFx4kS+/vprWWdbCGFU722JoaC0gp4+7jzW27SWdRJ3xqDBbSEsUTsvJ2YO6sAnv8Xz7qYYBvo3xdFW/lOByoHsZ8KjKC7TMuSupng42vLjsYt8vjuRsCkyuC2EEEI0Ro621owM9GbD8TQ2Hk+TwW0hGjlTaHFaNWO7ptnZubm5eHjIZ5WoX208HenU3IUzl/PYHZfOQz1bqx1JCGGipkyZctttCgoKiIuL4+TJkyiKQs+ePenatWsDpKtZbGwsAL6+vlhb13zttFOn6+1/q/apUtWKfNWqVTz66KN88803MrAthDCqyHOZbD55CY0C743vgkaj3k1BwnhqNWL37rvv6p/Pmzev2tfvxJ+PJYQpeWGwLz8eu0hqdhGf/hYvazAA0UlXmbriMEVlFQz0b8rnk3px8VoR/zt+kR2xV4i7koe/t4vaMYVo9KRmCyHUMK5HKzYcT2PzyTTeGhWAtZW0EBTiVqRe16wuLU7nzJmjb3H651lgVWttnzt37qaZZJcvXyY/P58+ffoYP7wQfzE8wJszl/PYESOD20KImq1YsaLW2/7+++9Mnz6dU6dOMXfuXB5++OF6TFaz4uJiMjMzAWjd+tafbx4eHjg5OVFQUEBKSsoNP3v33XdZuXIlzs7O+Pv789577920//jx4+nRo0e1xy4pKaGkpET/79zc3Dr+JkIIS1ZSXsG8jacBmNyvHZ1bVr9skTA/tRrcfuedd/QtTv78ZfnPr98JS/jiLSyTg60V74zpzLOrogmLSGTC3a3xbeasdizVHL2QzdQVURSWVtDf14tlT/fC3saKjk2duS+wOb/8fpkv9iSw+LEeakcVotGTmi2EUEN/Py88nWzJzC9lf0IWA/2bqh1JCJMm9bpmxmhxOmjQIBYuXMi2bdt4/PHHb9jv119/vWl/IerLiEBv/t+ueHafTaekvAI7a5mNKIQwTOfOndmxYwc9e/Zk8uTJBAYG3jAzuqHk5eXpnzs73/6aadXgdn5+/g2vV7Vkz8/PZ8GCBdXu265duxoHtxcuXGhw1xghhOUKizhPYmYBTV3seGWkv9pxhBHVekqFTqe7YT2Pv75+Jw9hXKGhoQQGBhIUFKR2FIswPNCbYZ2aUVah452ffm+079kTKdeYsvww+SXl9OvQhC8n98be5voX8pmDOwLw0/E0UrML1YophPgTqdlCiIZmY6VhVNcWAGw4flHlNEKYB6nX1TNGi9Nhw4bRoUMHVq9ezfHjx/Wv5+Tk8P7772Nra8vkyZONG1yIanRt5UYzFzsKSis4mHhV7ThCCAvh7OzMK6+8QmFhIf/9739VyVBcXKx/bmtre9vt7ezsACgqKrrh9fDw8Nv+fTN16tQajztnzhxycnL0j7/ODBdCNF4pVwv59LdzALz5YACu9ja32UOYk1oNbmu1Wv2jptfv5CGMKyQkhJiYGKKiotSOYjH+OaYzttYaIuMz2XLqktpxGtyp1ByeXn6IvJJy+rT3ZPnU3jjY3nineY827tzbsQnlWh1hEedVSiqEqCI12zzIDWnCEo3r0RKAX09fprisQuU0Qpg2qdfVu5MWp8BNF7Ktra0JCwtDq9UycOBAnnvuOWbPnk337t2Ji4vj/fffp127djUeu6SkhNzc3BseQtwJjUZhWIA3ADtirqicRghhSXr37g3Azp07VTm/vb29/nlpaeltt69qHe7g4GDUHHZ2dri6ut7wEEIIgPmbYigu09K3g6f+eoWwHLIYnhC34NPEkb/9MTP5X5tjyC8pVzlRw/k9LYdJyw+RW1xO77YerJgahKNt9TMnXvjjf6M1URe4WnD7P2iFEKKxkxvShCW628eDVu4OFJRWsDM2Xe04QggzdCctToGbWpwCDBkyhMjISIKDg1m7di2ff/453t7erFmzhtmzZ9/yuAsXLsTNzU3/aNOmTR1/EyGuGxn4x+B27BWL6bAghFBf1efJlSvq3Djj4uKif15dHf6rgoICoHb1XQghDLUj5go7Yq9grVH417guBi39JEyTQYPbe/fuZe/evZw7d85YeYQwOTMHdcTH05EruSV8urNxvNdjL+UyKewQOUVl3O3jTvgzfXCyq7klYH9fL7q0cqW4TMvK/UkNF1QIUWtSs4UQ9U2jUfR3Q0trciHuTGOv18ZqcVqlT58+bN26lZycHAoLCzl06BATJ0687XGlxakwpn4dm+BgY8WlnGJ+T5MuAEII4/j1118BcHNzU+X89vb2NGnSBIDU1NRbbpudna0f3K6vG8akO5oQokpRaQXvbPodgGcHdMDP2+U2ewhzZNDg9uDBgxkyZAj79u0zVh4hTI69jRXvjA0EYHnkeeKu5N1mD/N29nIeT4UdIruwjO5tKge2nW8xsA2gKAovDPIFYOWBJAoa0Qx3IcyF1GwhREMY16MVALvPppNTWKZyGiHMT2Ov16bW4vTrr7+mb9++DBs2zKjHF42LvY0VA/29ANgurcmFEEawZs0aFi5ciKIo9O/fX7UcgYGV10vj4+MpL6/5WuCZM2f0zwMCAuoli3RHE0JU+Wx3PKnZRbR0s+elYb5qxxH15NYjVrfh7OxMQUEBXbt2NVYeIUzS0E7ejAj0ZnvMFeZtPM13M/paZCuL+PQ8ngo7yNWCUrq2cmPVM31wtbep1b73d2lOuyaOJGUVsiYqhen929dzWiFEXUjNFkI0hLuau9CpuQtnLuex9fQlHu/jo3YkIcxKY6/XptbiNCQkhJCQEHJzc1WbGScsw/AAb379vbI95ssj/NWOI4QwMc8888xtt9FqtWRnZ3P06FHS0tLQ6XRYW1vzj3/8owESVq9///5ERERQUFDAkSNHuOeee6rdbs+ePfrnwcHBDRVPCNEIJWbks3RPIgDzxnSucZlVYf4M+n/Wx8eH2NhYCgsLjZVHCJM1b3QgEecyOJh4lZ9OpOlnJlmKhIx8nvjyEJn5pXRu6crX0/vg5lC7gW0AK43C84M6MufHU4RFJPJ037bYWhvUHEIIYURSs4UQDWVsj5ac+eUsG4+nyeC2EHXU2Ot1VYvTrKwsk2hxKoSxDO3UDI0Cv6flcvFaEa3cjdttQAhh3sLDw2s9iaZqrW1XV1fCwsLo3bt3fUa7pfHjx7Nw4UIAVqxYUe3gtlarZdWqVQC4u7szZMiQBs0ohGhc/r31DKUVWgbf1ZT7OnurHUfUI4NGnkaNGgXAjh07jBJGGEbWFqlfbTwdeXFIZRuLBVtiySu2nFab5zMLeGLZQTLySujU3IVvpt+Du+Pt17j7q4d6tqKpix2XcorZKGttCmFSpGYLIRrK2O6V624fPJ/F5Zzi22wthPgzqdem1eJUvmMLY2nibEevth4A7IyV1uRCiBv5+Pjc9tGuXTu6du3KuHHjWLx4MfHx8TzyyCOq5u7Tpw8DBgwAYPny5Rw4cOCmbRYtWkRsbCwAs2bNwsam9hNp6kJqthDi9MUctsVcQVHgrVEBFtl5V1yn6Kpu97oDly9fpmvXrpSWlrJv3z66dOlizGziDlW1TMvJycHV1VXtOBalpLyC+z+O4HxmAdP7t+ft0YFqRzJYclYBE5ce5HJuMXd5u7B6xj00cba74+N9sSeBf289Q8emTmx/eRAajRQR0TiZ2mex1GzjuHjxIuvWrePnn3/mzJkzXL58GU9PT4KDg3n99ddrbMNWE1N7nwhhLI9+sZ+opGzefDCAGQM7qB1HiBqZ2uewJdbrpKQk2revXLJoypQphIeH33L7uXPn6meBHTx4sMba+u9//5s5c+YA8OuvvzJy5Ejjhf4LU3ufCPO0dE8CC7eeYYCfF19Pr9vfjEII+SyuD5GRkcTHx+v/nZmZyWuvvQZUtg9/9tlnb9h+6tSpNx3j2LFjBAcHU1RUhLOzM3PnzmXIkCEUFRWxZs0ali1bBoC/vz/R0dE3LEFSH+R9IkTj9ezKaHbEXmFcj5Ysebyn2nEarYb6HDZo5nbz5s3ZvHkzLi4uBAcH8/7775OUlGSkaEKYHjtrK94Z2xmA8P1JnLmcq3Iiw6RcLeSJZZUD237NnPnWwIFtgKfu8cHF3pqEjAK2yx3pQpgMqdnG8emnn/Lyyy+TmJjIyJEjmT17Nv3792fjxo3ce++9rF27Vu2IQpiEsX8s37LxhHRyEaIupF5XtjitsmLFimq3kRanwhwND6xsjXkwMcuiOsEJIcxXWFgY06ZN0z+qBrYB9u3bd8PPpk2bVu0xevbsydq1a3F1dSU/P5+5c+fSr18/hg4desPA9pYtW+p9YFsI0XidTL3GjtgraBR4aZif2nFEAzBoze0OHSpnYZSWlpKXl8fbb7/N22+/jbOzM+7u7lhZWdW4r6IoJCQkGHJ6IVQxyL8pD3RpztbTl5m34XfWPt/XLFtcpGYX8sSXB0nLKaZDUye+nXEPXgYObAO42NvwdN+2fLY7gc93JzAy0Nss//cRwtJIzTaOPn36sHv3bgYNGnTD6xEREQwbNowXXniB8ePHY2dn+OepEOZsVNcWzP/pd05fzCU+PR/fZs5qRxLCLEi9vt7iNCIiguXLlzNlyhT69et3wzYN1eJUCGPq2NSZDk2dSMwoYE9cBqO7tVQ7khBCGMWYMWM4efIkS5YsYcuWLaSmpmJra4uvry+PPvooL774Io6OjmrHFEJYsI93nANgXI9WdGwq1x8aA4Pakms0dz7xW1EUKioq7nh/UTNpv1L/0q4VMWzRHorKKlj8WHcevru12pHqJO1aEY8vO8iFq4W093JizXN98Xa1N9rxM/JKCP7gN0rLtax5ri99OzQx2rGFMBem9lksNbv+3XfffWzbto2oqCh69+5dq31M7X0ihDE9Ex7Fb2fSeWmoL6+MvEvtOEJUy9Q+hy2hXltSi9PQ0FBCQ0OpqKggLi7OZN4nwnwt/DmWpXsTGd+jJR9Lu0wh6sTUarYwLVKzhWi8jqdcY3zoPjQK7HhlEB1kcFtVDVWvDZq5PWXKFGPlEMKstHR34KVhfnzwyxne/zmWYQHeuDmYx2yByznFPPll5cB22yaOfDfDuAPbAE1d7Hisd2u+OXiBz3cnyOC2ECbAFGp2eno6hw8f5vDhw0RFRREVFUVWVhZQuzU4/yw5OZlPPvmELVu2kJKSgp2dHR07duSxxx4jJCRElbvCq2aNWVsb9OeVEBZjXI+W/HYmnY0n0nh5hL90chGiFkyhXhsqLCyMlStXVvuzffv2sW/fvhteq25wu6rF6aRJk8jNzWXu3Lk3bdMQLU5DQkIICQnRX6ARwlDDA71ZujeR386kU1ahxcbKoNUChRBm5sKFC/VyXB8fn3o5rjmRmi1E4/XxjjgAHurZWga2GxGDrr7WtP6VEI3B9P7tWXckhcSMAj7aHqdfi9uUpedWDmwnZRXSxtOB72b0pbmbcQe2qzw3oCOrD11gT1wGv6fl0Lml/GEphJpMoWZ7e3sb5TibNm3SX+yuUlhYSHR0NNHR0YSFhbFlyxZ8fX2Ncr7auHDhAjt27KBFixZ07dq1wc4rhCkbEeiNg40VyVmFHE+5Rk8fD7UjCWHyTKFemwppcSos0d0+Hng62XK1oJTopGz6dZQbwYVoTNq3b2/0YyqKQnl5udGPK4QQ5uDohWx2n83ASqPw0rCGuw4o1Ce3iApxh2ytNfxrXBcAVh1I4ve0HJUT3VpGXglPfHmQxMwCWrlXDmy3dHeot/P5NHHUryH2xZ7EejuPEMI8+fj4MHLkyDrvd+zYMSZOnEhubi7Ozs4sWLCA/fv3s3PnTmbMmAFAXFwco0aNIi8vz9ixq1VWVsbTTz9NSUkJH3zwwS3XQxWiMXG0tWZk58qbWjYeT1M5jRCioYSHh6PT6Wr9uJW2bduyePFizp49S0FBAdnZ2URFRfH666/LwLYwS1YahaGdmgGwPeaKymmEEA2tLvXRWLVUCCEsWdVa2w/3bEXbJk4qpxENSfpmCmGAYF8vRndrweaTl5i38XfWPd8Pjcb0Wm5m5pfw5JcHScgooKWbPd/N6Etrj/q/GPT8oA78dCKNLSfTeHWkvxQYIRq5efPmERQURFBQEN7e3iQlJdX5zvVZs2ZRVFSEtbU127Zto1+/fvqfDR06FD8/P15//XXi4uJYtGgR77zzzk3HmD17NiUlJXU6p5+fX7U/02q1TJ06lb179zJjxgyefvrpOv0+Qli6cT1asvF4GptPXuKtUQFYS/tVIYQZ+fP6nUIYy/AAb9YfSWV77GXeHh0gy3YI0YhIhxYhhDCeI8nZ7I3LwFqj8Peh1V+3E5arToPb165dY+/evQC0adOGnj171nrfo0ePkpqaCsCQIUPqdV0sIRrSW6MC+e1MOkeSs1l/NJXHerdRO9INrhaU8tSXhziXnk9zV3tWz+iLT5OGmeXQuaUbg/ybsicug2V7E1nwkLTqFaKhmGLNnj9/vkH7Hz58mIiICACmT59+w8B2ldmzZ7NixQpiY2NZsmQJb775pn4t7CpLly6loKCg1ud95JFHqh3c1mq1PPPMM6xevZpJkybxxRdf1PE3EsLyDfBrioejDZn5JRxIzGKAX1O1IwlhUkyxXovrZP1OUR8G+Hlha60h5WoR59Lz8feW/3aFaCymTJmidgSLJTekCdH4VK21PeHu1g023iFMR52mTsydO5eHHnqIp59+Gnv7uq3T6+DgwKRJk3jooYf45z//Wad9Re2EhoYSGBhIUFCQ2lEaleZu9vzf8MpBj39vPUNOYZnKia7LLijlqbBDnL2SRzMXO1bPuId2Xg07e/qFwR0BWHcklfS84gY9txCNmSXW7A0bNuifT5s2rdptNBoNkydPBioHDHbt2nXTNvn5+XVq8TZ48OCbjqHVapk2bRorV67kiSeeIDw8HI1GZqQK8Vc2VhpGdWsBwIZj0ppciL+yxHothLg1Jztr+vt6AdKaXAghjCUkJISYmBiioqLUjiKEaADRSVeJOJeJtUbhxaGy1nZjVOursFeuXCEsLAyA9957j4CAgDqdKCAggPfffx+dTsdnn31GZmZm3ZKK25Iirp5pwe3xa+bM1YJSPtx2Vu04AOQUljFp+SFiL+Xi5WzH6hl96dDUucFz3NPek54+7pSWawnfl9Tg5xeiMbLUmh0ZGQmAk5MTvXr1qnG7QYMG6Z/v27fP6DmqBrZXrVrFxIkT+frrr2WdbSFuYVyPVgD8+vtlistkJoUQVSy1Xgshbm94gDcgg9tCCCGEEHfioz9mbT/auzVtPGXWdmNU68Ht1atXU15eTqtWrXjhhRfu6GQzZ87Ex8eHsrIyVq9efUfHEMIU2VhpeHdcFwC+OZTMqdQcVfPkFJXx9FeH+D0tlyZOtnw34x58mzX8wDaAoii8MKhy9vbXB5LJLTadme1CWCpLrdmxsbEA+Pr6Ym1d88oqnTp1umkfY6lqRb5q1SoeffRRvvnmGxnYFuI2evl40MrdgfyScn47k652HCFMhqXWa0si3dFEfRkW0AyA4ynXpMOZEEIIIUQdHD5/lX3xWdhYKYQMkVnbjVWt19zetWsXiqIwYcKEW15QvuXJrK2ZMGECH330Eb/99hsvvfTSHR1HCFPUr2MTxvVoycbjaby18TT/e+FeNBqlwXPkFpcx+avDnEzNwdPJltUz+uKn8hpewwO88W3mTHx6PqsPXWDmH4PdQoj6YYk1u7i4WD8jrXXr1rfc1sPDAycnJwoKCkhJSTFqjnfffZeVK1fi7OyMv78/77333k3bjB8/nh49elS7f0lJCSUlJfp/5+bmGjWfEKZIo1EY26Mln+9OYMOxizzYtYXakYQwCZZYry2NrLkt6ou3qz3dW7txIjWH32LTebyPj9qRhBAmQqfTcfz4cU6cOEFmZiZFRUXodLpb7jNv3rwGSieEEOr7aHvVrO02tPaQWduNVa2/QZ88eRKg2nUn62LgwIF89NFHnDhxwqDjWJpvvvmGiIgIjhw5wqlTpygtLWXFihVMnTpV7WiiDt58MICdsemcSLnG99EpDf4FNb+knKlfHeZEyjXcHW34Zvo93NVc3YFtqLyoPXNQR15dd4LlkeeZem877G1kpqMQ9cUSa3ZeXp7+ubPz7TtRVA1u5+fnGzVHUlISULlu94IFC6rdpl27djUObi9cuJD58+cbNZMQ5mDcH4Pbu89mkFNYhpujjdqRhFCdJdZrIUTtjQj05kRqDttjrsjgthACgJUrVzJ//nySk5PrtJ8MbgshGouDiVkcSJRZ26IObcmzsrIAaNmypUEnbNGicqaGrAd2o7feeotly5aRnJys/99ImJ9mrva8PMIfgA9+OUN2QWmDnbugpJxpKw5z9MI13BwqB7YDW7o22PlvZ2z3lrR0sycjr4Qfj15UO44QFs0Sa3Zx8fV2jba2trfd3s7ODoCioiKj5ggPD0en093ycasb0+bMmUNOTo7+YeyZ5UKYqk7NXbnL24XSCi2//H5J7ThCmARLrNdCiNobHli57nZkfCaFpeUqpxFCqO3NN9/kmWeeISkp6bbfOYGb/t3YyVIiQjQOVbO2Jwa1oZW7g8pphJpqPbhdUVEBYHDBVBTlhuOJSmFhYSQlJZGRkcHMmTPVjiMMMKVfWzo1dyG7sIz//Hq2Qc5ZWFrOtPAoopKycbG35pvp99CllWm1zbO11jB9QAcAlu5NoEIrf3wLUV8ssWbb29vrn5eW3v7GoarW3w4OpvWHrp2dHa6urjc8hGgsxvWsHMDbcCxN5SRCmAZLrNdCiNq7y9uF1h4OlJRriTwnN6cI0ZgdOnSIhQsXAjBixAiOHz/O0aNHgco6X1FRQUZGBlu3bmXs2LHodDr69+/PpUuX0Gq1akY3GSEhIcTExBAVFaV2FCFEPdmfkMmh81extdLIrG1R+8FtLy8vAC5dMmymRdX+VccTlYYPH07btm3VjiGMwNpKw7vjugCwJuoCx1Ou1ev5ikormB4ezeHzV3Gxs+br6ffQtbVpDWxXeTyoDe6ONiRnFbL1tMzaEqK+WGLNdnG5vsRCbVqNFxQUALVrYa4GuatcNEZjulUObh88n8XlnOLbbC2E5bPEei2EqD1FURgeUDl7e0fsFZXTCCHU9PnnnwPQtm1btmzZQrdu3bCxub6Mj6IoNGnShPvuu48NGzYQGhpKZGQk999/f61u/hZCCHOn0+n4ePs5AB7v04YWbqY1mUU0vFoPbrdv3x6AvXv3GnTCPXv23HA8Q6Wnp7N582bmzZvHAw88gJeXF4qioChKnderTk5OZvbs2XTq1AknJyc8PT0JCgriv//9L4WFhUbJKxqHPu09efjuVuh08PaG0/U2S7m4rIIZq6I5kJiFs501K6f3oUcb93o5lzE42VkzpV87AD7fnSCtk4SoJ6Zasw1hb29PkyZNAEhNTb3lttnZ2frB7TZt2tR7tjshd5WLxqiNpyO923qg08HmkzJ7WwhLrNeWRm5GE/Vt5B+tyXfGpkt3MyEasf3796MoCi+99BLW1ta33f6FF15gwoQJnDx5ks8++6wBEgohhLr2J2RxOOkqttYa/jZYZm2LOgxuDxs2DJ1Ox+rVq/UXjOuqoKCAb7/9FkVRGDZs2B0d46+8vb0ZM2YM//rXv/jll1/065bV1aZNm+jWrRuLFy/m7NmzFBYWkp2dTXR0NK+//jo9e/YkPj7eKJlF4zDngQBc7K05dTGH7w5fMPrxi8sqeP7rI0TGZ+Joa0X4tCDu9vEw+nmMbcq97XCwseL3tFwi46X1mhD1wVRrtqECAwMBiI+Pp7y85nUJz5w5o38eEBBQ77mEELU3rmcrADYcv6hyEiHUZ6n12pLIzWiivgW198TF3pqsglKOp2SrHUcIoZKqLiydO3fWv6bRXL9sX1ZWdtM+Tz/9NDqdjrVr19Z/QCGEUJFOp9Ovtf1kHx+au9nfZg/RGNR6cPuxxx5Do9GQnp7OK6+8ckcne/nll0lPT0ej0TBx4sQ7Osat+Pj4MHLkyDrvd+zYMSZOnEhubi7Ozs4sWLCA/fv3s3PnTmbMmAFAXFwco0aNIi8vz9ixhYVq6mLHqyPvAuC/v54lK7/EaMcuKa/gb98eZU9cBg42VqyYGkTvdp5GO3598nSy5fE+lTMpP9+doHIaISyTOdTsO9G/f3+g8kL+kSNHatyuagYbQHBwcL3nEkLU3qiuLbDWKJy+mEt8+u2XGBDCkllqvRZC1J6NlYYhdzUDYHtMuspphBBqqRq8btasmf61Py+xlZGRcdM+rVu3BpDJWEIIixcZn0l0cjZ21hpeGNxR7TjCRNy+z8kfOnXqxJNPPsk333xDWFgYiqLw0Ucf4eBw+972RUVF/N///Z9+v6eeeoq77rrLoOBV5s2bR1BQEEFBQXh7e5OUlFTndmyzZs2iqKgIa2trtm3bRr9+/fQ/Gzp0KH5+frz++uvExcWxaNEi3nnnnZuOMXv2bEpKaj94OWvWLPz8/OqUU5ifp+7xYW1UCjGXcvnglzP855HuBh+ztFxLyLfH+O1MOvY2Gr6aGsQ9HZoYIW3DeXZAB74+kMz+hCyOp1wz6VbqQpgjU63Zhho/fjwLFy4EYMWKFdxzzz03baPValm1ahUA7u7uDBkypEEz1lZoaCihoaFUVFSoHUWIBuXpZMsAPy92nc3gpxNpvDLCX+1IQqjGUuu1EKJuRgR689OJNLbHXOYfD3RSO44QQgVNmzYlLS2N3Nxc/Wve3t5YWVmh1WqJjY2lZcuWN+xTNdtbJmIJISzZDbO27/HB21VmbYtKtZ65DbBkyRL8/PzQ6XR8+eWX+Pn5MX/+fKKiom5qj1JWVkZUVBTvvPMOfn5+hIWFAeDv78/HH39stF9g/vz5jB49Gm9v7zva//Dhw0RERAAwffr0Gwa2q8yePVvf1nTJkiXVtoJZunSp/kJ1bR4XL0orxsbA2krDv8Z3AeD76FSOJBvWZqysQsvfvzvKjtgr2FlrWD4liH4dzWtgG6CVuwPjelS2Jf1CZm8LUS9MsWYbqk+fPgwYMACA5cuXc+DAgZu2WbRoEbGxsUDljWQ2NjYNmrG2pM2paMyq/gb46fhFdDpZX1Q0bpZYr4UQdTPorqZYaxQSMgpIzJCuJkI0RlXtyP+8xJatra3+9epaj3/99dcANw16N1ahoaEEBgYSFBSkdhQhhBHtPZfJ0QvXKmdtD5JZ2+K6Ws/cBvDw8GDr1q2MGTOG2NhYLl26xLvvvsu7776LRqPBzc0NJycnCgoKyMnJQavVAugvWgUEBLB582bc3d2N/ovcqQ0bNuifT5s2rdptNBoNkydPZs6cOVy7do1du3bd1P48P1++gIjq9WrrwWO9W/N9dCpvbzjNpr/3x0qj1Pk45RVaZq05xq+/X8HWWsOXk3sT7OtVD4kbxsxBHfjhaCq/xlwmPj0f32bOt99JCFFrplizIyMjb2iZlpmZqX8eHx9PeHj4DdtPnTr1pmMsWbKE4OBgioqKGDlyJHPnzmXIkCEUFRWxZs0ali1bBlRe6J89e7bRsgshjGdEoDcONlYkZRVyIjVHOriIRs0U67UQomG52tvQt0MTIuMz2RmbToem8t1YiMZmwIABbNu2jV27dumXyASYOHEiJ0+e5KuvvqJFixY89thjFBQUEB4ezvfff4+iKDzwwAMqJjcdISEhhISEkJubi5ubm9pxhBBG8OdZ25P6tqWZzNoWf1KnmdsAHTp0IDo6mr///e/Y29uj0+nQ6XRUVFRw9epVUlNTuXr1KhUVFfqfOTg48NJLLxEVFVXnluH1LTIyEgAnJyd69epV43aDBg3SP9+3b1+95xKW5Y37O+Fqb03MpVy+OZhc5/3LK7S8/P0Jfj51GVsrDUsn9WKgf9N6SNpw/LxdGB7gjU4Hy/bK7O3b0el0pFwtlBluok5MrWaHhYUxbdo0/eO1117T/2zfvn03/KymG8569uzJ2rVrcXV1JT8/n7lz59KvXz+GDh16w8D2li1bcHFxMWp+IYRxONlZMyKwsuvSxuPSzUgIU6vXQoiGNzzgj3W3Y6+onEQIoYbx48cDsHnz5htak8+aNYt27dqh1Wp577336NatG/369WPp0qVA5U1yc+bMUSOyEELUu91xGRxPuYa9jYaZMmtb/EWdB7cBHBwcWLJkCcnJyXzyySdMmDABX19fPDw8sLKywsPDA19fXyZMmMAnn3xCcnIyH3/8MY6OjsbOb7Cq1qW+vr5YW9c8kb1Tp+vrHlXtI0RtNXG247X7K99DH247S0Ze7ddnr9DqeHXdCTadSMPGSuGzp+5mSKdm9RW1Qb0wuLIo/e/YRS7lFKmcxrTN/d9pBvxnFz8elUEAUTeWVLOrjBkzhpMnT/Lyyy/j7++Po6Mj7u7u9O7dmw8++IBjx47h6+urdsxbkpZporEb16OyfeKmE5eo0MqNW0JYYr0WQtTe8D9u+opOusrVglKV0wghGlrnzp3ZtWsX//vf/ygvL9e/7ujoyK5duwgODtbf4Fb16NKlCzt37qR169YqJhdCiPqh0+n4+I9Z20/3bUtTFzuVEwlTo+gsbBpgUlKS/s71KVOm3NTi9M+Ki4txcHAAYNSoUWzevPmWx3Z2dqagoIC+fftWu86nIcLCwvSzyE+dOsXRo0cJDg7WX5zv378/zz77bLX7lpSUUFJyfbA0NzeXNm3akJOTg6urq1FzijtXodUxPnQfpy7mMOHu1ix6rHut9nlt/Ql+PHoRa41C6FN3c1/n5g2QtuE8tvQAh89f5dn+7XlrdKDacUzSuugUXlt/EoBB/k1Z+UwflROJ2qhqhSWfxeJW5H0iGquyCi19Fuwgu7CMr6f3YYCfeXekEeZLPofFrYSGhhIaGkpFRQVxcXHyPhH16oElEcReymXRo92Z0EsGq4T4q8Zes8+ePcvvv/9OeXk5fn5+9OzZU+1IJqmxv0+EsBS/nbnCM+HRONhYEfHGELycZXDbXDTU5/Adzdy2FHl5efrnzs63X9PIyckJqJ/1tSMjI1m5ciUrV67k6NGjQGWL1qrXqga+q7Nw4ULc3Nz0jzZt2hg9nzCclUbhX+O7oCjww9FUopKu3nJ7rVbHnB9P8uPRi1hpFD59oqfFDWzD9dnb3x2+wLVCuUP9r85ezuPtjaf1/z50PovisgoVEwkhhBCGs7HS8GDXFgBsPJ6mchohhKheSEgIMTExREVFqR1FNAIj/mhNvkNakwshqnHXXXfx8MMP89hjj8nAthDCoul0Oj7ecQ6Ayf3aysC2qFajHtwuLi7WP7e1tb3t9nZ2lf8RFRUZv31yeHj4Te1l/vy41Qz0OXPmkJOTo3+kpKQYPZ8wjh5t3Hk8qPLmg7c3nKa8Qlvtdlqtjjc3nOL76FQ0Cix5vAcP/HEB2NIM9m9Kp+YuFJRW8PWBuq9HbsnyS8p54dsjFJdpGeDnRTMXO4rLtEQnZasdTQghhDDYuB6tAPjl9GW5cUsIIUSjV9WafE9chtRFIRqZnJwctSMIIYTJ2BmbzsnUHBxtrXhuYAe14wgT1agHt+3t7fXPS0tvP2O0qvV3VStzU2FnZ4erq+sND2G6Xr+vE+6ONpy5nMeqagZzdTod8346zXeHU9Ao8NHEHozu1lKFpA1DURT97O0V+5MoKpUv8VD5Ppjz4ykSMwpo7mrPxxN76Fu2RpzLUDmdEMJQsua2ENC7rQet3B3ILynntzPpascRQgghVNW1lRvernYUllZwIDFL7ThCiAbUvHlzHnnkEX788cdaXaMWQghLpdPp+Hhn5Vrbk/u1o4nM2hY1aNSD2y4uLvrntWk1XlBQANSuhbka5EK5efBwsuWN+zsBsHh7HOm51zsI6HQ65m+K4ZuDF1AU+PDR7vpZTZZsVNcWtPF04GpBKd9HS+cBgG8PXWDTiTSsNAr/78meNHG2Y6C/F1B5J78QwrxJm1MhQKNRGNO98ga+jccvqpxGCCGEUJeiKAwPqJy9vSNGWpML0ZiUlJTwv//9j0cffRRvb29mzJjBrl271I4lhBANbnvMFU5fzMVJZm2L22jUg9v29vY0adIEgNTU1Ftum52drR/cNtU1reVCufmY2LsN3du4k19Szvs/xwKVA9v/2hxL+P4kFAX+M6EbD9/dWuWkDcPaSsNzAytnby/bm0hZDe3aG4vTF3N4d1MMAG/cfxe923kC0N/XC0WBM5fzbrgpQgghhDBX43pUDm7vOpNBTlGZymmEEEIIdVW1Jt8RewWdTqdyGiFEQ5kxYwYeHh7odDpycnL46quvGD58OG3atOH111/n+PHjakcUQoh6p9Xq+OiPtban3NsOT6fbLyUsGq9GPbgNEBgYCEB8fDzl5eU1bnfmzBn984CAgHrPJSybRqPw3rguKApsOJ7GgYQs3v85lq/2nQdg4UNdebS3ad5EUV8e7dUaL2dbLl4rYvPJNLXjqCanqIy/fXuU0gotwwOaMWPA9TvUmjjb0aWlGwAR5zLViiiEEEIYTUALV+7ydqG0Qsuvpy+rHUcIIYRQ1b0dm+Bka8WV3BJOXZQ1eIVoLJYuXcrly5fZuHEjEydOxN7eHp1Ox8WLF1m0aBG9evWic+fOLFy4kKSkJLXjmiTpaCqE+dsWc5nYS7k421nfcE1ciOo0+sHt/v37A5Utx48cOVLjdnv27NE/Dw4Orvdcd0KKuHnp2tqNp+7xAWDGqmi+jKgc2F7wUBce7+OjZjRV2NtYMS24PQCf705Aq218d6nrdDpeW3eCC1cLae3hwKJHe6Aoyg3bVLUm3yvrbgshhLAQY/+Yvb1BWpMLIYRo5OysrRjo3xSQ1uRCNDbW1taMGTOG7777jvT0dFatWsX999+PlZUVOp2O2NhY3nrrLTp27Ej//v354osvyMrKUju2yZCOpkKYN61Wx8d/zNqeem87PGTWtriNRj+4PX78eP3zFStWVLuNVqtl1apVALi7uzNkyJCGiFZnUsTNz6sj78LTyZb8ksquAe+O68xT97RVOZV6JvVti7OdNXFX8tl1Nl3tOA1ueeR5tsVcwdZKQ+iTd+PmaHPTNgP8Ki90RJ7LbJQ3AAghhLA8Y/9Yd/tAYhZXZNkNIYQQjVzVutvbYxvfd2IhRCUnJycmTZrEzz//zMWLF/n000/p168fOp0OnU7H/v37CQkJoWXLlowdO1btuEIIYbBffr/Mmct5uNhZ8+yA9mrHEWag0Q9u9+nThwEDBgCwfPlyDhw4cNM2ixYtIja2cl3kWbNmYWNz84CTEHfC3dGWfz/clVbuDvxrXGcm92undiRVuTnY6Gezf7EnQeU0DetIcjb/3lq5/MFbowPo3sa92u3u9vHAydaKrIJSYi7lNmBCIYQxSbcVIa5r4+lIr7Ye6HSw6UTjXZpECCGEABjSqRkaBWIv5ZKaXah2HCGEypo2bUpISAj79u0jMTGR9957j86dO6PT6SgrK2PLli1qRxRCCINotTqW/DFre1pwO9wdZda2uD1rtQMYKjIykvj4eP2/MzOvr0MbHx9PeHj4DdtPnTr1pmMsWbKE4OBgioqKGDlyJHPnzmXIkCEUFRWxZs0ali1bBoC/vz+zZ8+ul9/DGEJDQwkNDaWiokLtKKIORnZuzsjOzdWOYTKe6d+eFfuSiErKJirpKkHtPNWOVO+uFpTy4uqjlGt1jOrWgqf71jx739ZaQ7+OTdgRm86euAy6tHJrwKRCCGMJCQkhJCSE3Nxc3Nzkv2MhxvdoyZHkbDYeT+NZWVtLCGEi5Du2UIOnky2923ly+PxVdsRcYWqwzF4SQlRq164dEyZMoKioiIsXL3Lt2jW1IwkhhMF+Pn2Js1fycLG3Znp/uR4gakfR6XRm3dd26tSprFy5stbb1/Trbtq0iUmTJpGbW/1MSH9/f7Zs2YKvr+8d5WxIVRfKc3JycHV1VTuOEHU258eTfHc4hWGdmrF8qmXPatRqdTyzMordZzNo7+XETy8G42J/6+4Qqw4kMW/j7/Tt4Mma5/o1UFJRV/JZLGpD3idCVMrKL6HP+zup0OrYOXsQHZs6qx1JNBLyOSxqQ94noqF9uTeRBT/H0t/Xi2+evUftOEKYhMb8WXzp0iW+++47Vq9ezbFjx/Sv63Q67O3tKSyULg9VGvP7RAhzVKHVcf/HezmXns+sYX68PMJf7UjCQA31OWzQzO0LFy7UeR9FUbC3t8fNzQ1bW9NpLzBmzBhOnjzJkiVL2LJlC6mpqdja2uLr68ujjz7Kiy++iKOjo9oxhWgUnhvYkTVRKew8k86Zy7l0am65f4x+vieB3WczsLPW8NlTd992YBtg4B/rbh9JzqagpBwnO7NvwiEagCXVbCGE5WnibMcAPy92n83gp+Np8oVWNFpSr4UQAMMDvVnwcywHE7PILS7DtRbfE4UQliU3N5f169fz7bffsnfvXrRarX7SlqIoDBo0iKeeeopHHnlE5aRCCHHntpy6xLn0fFzsrXmmv3SrEbVn0IhI+/aGvdlat25N3759mTp1Kg888MAdHSM8PPym1uN3qm3btixevJjFixcb5XhCiDvT3suJB7u0YMupSyzdk8hHE3uoHaleHEjIYtG2swD8a1wXAlrUbhC/bRNH2ng6kHK1iAMJWQwP9K7PmMJCmELNFkKIWxnfoxW7z2aw8fhF/m+4H4qiqB1JiAYn9VoIAZXfiTs2dSIho4DdZzMY272l2pGEEA2gtLSUzZs38+2337J161ZKSkqA651Iu3fvzlNPPcUTTzxBq1at1IwqhBAGq9DqWLIjDoBn+3fAzUFu5hO1pzFkZ51OZ9AjJSWF9evXM3r0aO6//36ys7ON9Xs1SqGhoQQGBhIUZNltnEXjMHNQRwB+OpFGylXLa6+UnlfMS2uOodXBhLtb82jv1rXeV1EU/eztiHMZ9RVRWBip2UIIUzci0Bt7Gw1JWYWcTM1RO44QqpB6LYSoMiKwOQA7Yq6onEQIUd927tzJ9OnT8fb25tFHH2XDhg0UFxej0+nw8fFhzpw5nD59mmPHjvHqq6/KwLYQwiJsPplGQkYBrvbWTOvfTu04wswYNHN7xYoVAHzxxRccOnQIe3t77rvvPnr37k3TppUDLxkZGURHR/Prr79SUlJCnz59eO6558jNzeX06dNs3LiRzMxMtm/fzvjx49mzZ4/hv1UjFRISQkhIiL6nvRDmrGtrN/r7ehEZn0lYRCLzx3VRO5LRVGh1zPruOBl5Jfh7O/Ov8Z3rPDttoH9Tvj10gb3nMusppbA0UrOFEKbOyc6aEYHN2XQijY3H0+jexl3tSEI0OKnXxvPNN98QERHBkSNHOHXqFKWlpaxYsYKpU6eqHU2IWhkR2Iwv9iSw62w6ZRVabKwMmp8ihDBhI0aMQFEU/QztJk2a8Oijj/LUU08RHByscjohhDC+Cq2OJTvPATBjQAdZgkXUmUGD21OmTGHmzJkcPnyYcePGsXTpUpo1a1bttunp6Tz33HNs2rSJzp07ExYWBsCnn37KzJkzWbVqFZGRkaxdu5aJEycaEksIYSFeGNyRyPhM1kan8NIwP5o426kdySiW7IjjQGIWjrZWfPbU3Tja1v2juF/HJlhpFM5nFpBytZA2no71kFRYEqnZpiU0NJTQ0FAqKirUjiKESRnfoyWbTqSx6WQab44KwEojrclF4yL12njeeustkpOT8fLyokWLFiQnJ6sdSYg66dHGgyZOtmQVlBJ1/ir3+nqpHUkIUY/s7e0ZO3YsTz31FPfffz/W1gZdthdCCJP204mLJGYU4O5ow9TgdmrHEWbIoNs+N2zYwLJly+jXrx8//vhjjV+6AZo1a8b//vc/+vbty4oVK/j++++BysL91VdfcffddwOwZs0aQyIJISzIvR2b0K21G8VlWlbuT1I7jlHsicvg013xACx8uCu+zVzu6Diu9jbc7eMOwF5pTS5qQWq2aQkJCSEmJoaoqCi1owhhUgb4NcXd0YaMvBIOJGSpHUeIBif12njCwsJISkoiIyODmTNnqh1HiDqz0igMC6j8DNgmrcmFsGgrV67kypUrfPfdd4wePVoGtoUQFq28QssnOyuvj88Y0AEXmbUt7oBBg9ufffYZiqIwa9asWrXUVRSF//u//0On07Fs2bLrITQaZsyYgU6nIzo62pBIQggLoigKL/yx9vbKA8nkl5SrnMgwadeK+L81x9Dp4Kl7fBjXw7A1kgb8se723jgZ3Ba3JzVbCGEObK01PNi1BQAbj19UOY0QDU/qtfEMHz6ctm3bqh1DCIMMD/AGYEfsFX27YiGE5Xn66adxdnZWO4YQQjSIjcfTOJ9ZgIejDVPubad2HGGmDBrcPnnyJAC+vr613qdq21OnTt3werdu3QDIypIZGncqNDSUwMBAgoKC1I4ihNGM7NycDl5O5BSVsebwBbXj3LGyCi1//+4Y2YVldG7pytujAw0+5kD/ysHt/fFZlFdoDT6esGxSs4UQ5mJc95YA/HL6MsVl0rpfNC6mUK/T09PZvHkz8+bN44EHHsDLywtFUVAUpc7rVScnJzN79mw6deqEk5MTnp6eBAUF8d///pfCwsI6HUuIxqi/nxd21hpSs4s4eyVP7ThCCGGy5Lq4EOahvELLp7/9sdb2wA4420mnCnFnDHrn5ObmApCRUftZg1Xb5uXd+Ee5g4MDADY20oLgToWEhBASEkJubi5ubm5qxxHCKKw0Cs8P6sAbP5ziy4hEnu7XFjtrK7Vj1dl/fz3LkeRsXOys+eypu7G3Mfx36NrKDXdHG64VlnE85Rq923kaIamwVFKzhRDmIqidJy3d7EnLKWbXmXQe+GMmtxCNgSnUa29v7zptX5NNmzYxadIk/e8EUFhYSHR0NNHR0YSFhbFly5Y6DeQL0dg42lrT39eLnWfS2RFzhU7NXdWOJIRoAHl5eZw/f568vDwqKm5/s+fAgQMbIJVpk+viQpiH/x27SFJWIZ5Otkzp107tOMKMGTRz28fHB4Dvvvuu1vt8++23N+xbJT09HYCmTZsaEkkIYYHG92yFt6sdV3JL2HgsTe04dbbt98ss25sIwH8f7UbbJk5GOa6VRiHY1wuAvecyjXJMYbmkZgshzIVGozCmR+Xs7Y3Hza/uC2EIU6vXPj4+jBw5ss77HTt2jIkTJ5Kbm4uzszMLFixg//797Ny5kxkzZgAQFxfHqFGjbhqUF0LcaERg5Q0n22XdbSEs3pdffknPnj3x8PCgZ8+eDBw4kCFDhtzyMXToULVjCyFErZRVaPn0t8q1tp8b2AEnmbUtDGDQu2fs2LF8+OGHrFq1il69evHiiy/ecvtPP/2Ur7/+GkVRGDt27A0/O3ToEADt2rUzJJIQwgLZWVsxvX973v/5DF/sTWBCr9ZYaW6/BqEpSLlayKvrTgDwTHB77u9i3Nlng/yasuXkJfbGZfDKCH+jHltYFqnZQghzMq57K5buSeS3s+nkFJXh5iCdIkTjYAr1et68eQQFBREUFIS3tzdJSUm0b9++TseYNWsWRUVFWFtbs23bNvr166f/2dChQ/Hz8+P1118nLi6ORYsW8c4779x0jNmzZ1NSUlKnc/r5+dUppxDmYGhAMwBOpOZwJbcYb1d7lRMJIYytoqKCCRMmsGnTJgB0Op3KiYQQwvj+d/QiF64W0sTJlsn92qodR5g5gwa3//GPf7Bq1SoyMjKYNWsW33zzDZMmTaJXr176u8MzMjI4cuQI33zzDVFRUUDlneP/+Mc/bjjWmjVrUBSF4cOHGxJJCGGhnujjw//7LZ7EjAK2x1w2+iBxfSgpr+Bv3x4lt7icnj7u/OOBTkY/xwD/ypnbJ1Ovca2wFHdHW6OfQ1gGqdlCCHMS0MIFf29n4q7k8+vpyzwW1EbtSEI0CFOo1/Pnzzfodzh8+DAREREATJ8+/YaB7SqzZ89mxYoVxMbGsmTJEt58882b2qcvXbqUgoKCWp/3kUcekcFtYZGaudjTo407x1OusTM2nSfv8bn9TkIIs/LFF1/w008/AZXLg0ybNo1evXrh6emJRmNQ41UhhDAJZRVaPt1Vudb284M64Ggrs7aFYQx6B3l6erJ9+3buv/9+Ll26RFRUlP7LdXV0Oh3Nmzfnl19+wdPz+tqwiYmJ9OnThz59+jBhwgRDIjVqoaGhhIaG1motFiHMjYu9DZP7teP/7Yrn8z2J3Ne5OYpi2rO3F2yJ5dTFHNwdbfh/T96NrbXxv5C0cHPAr5kz59Lz2Refxahupj/oL9QhNdu0SM0W4tYURWFcj1b899ezbDxxUQa3RaNhCfV6w4YN+ufTpk2rdhuNRsPkyZOZM2cO165dY9euXTe1P8/Pz6/PmEKYlRGB3hxPucb2mMsyuC2EBVq1ahUAgYGBRERE4OHhoXIiIYQwrh+OpJJytQgvZ1sm9ZVZ28JwBo+0dO3alZiYGGbNmoWbmxs6na7ah6urK3//+9/5/fff6dat2w3H6NChAytWrGDFihVyp7UBQkJCiImJueXFDyHM2dTgdthZaziRco0DiVlqx7mlTSfSWHUgGYCPHutBK3eHejvXQP/KWTx74zLq7RzCMkjNNh1Ss4W4vbHdK9fd3p+QRXpuscpphGg45l6vIyMjAXBycqJXr141bjdo0CD983379tV7LiHMWdW62/sSsigoKVc5jRDC2GJjY1EUhbffflsGtoUQFqe0/Ppa2zMHdZRZ28IojPIucnNz46OPPuKDDz4gOjqa06dPk52dDYCHhwedO3emd+/e2NnZGeN0QohGysvZjolBbVh1IJnPdydwb0cvtSNVKzEjn3/8cBKAvw3uyJBOzer1fAP8vFgeeZ695zLQ6XQmP6NdqEtqthDCXLTxdKRXWw+OJGfz04k0nh3QQe1IQjQYc67XsbGxAPj6+mJtXfMlh06dri/ZU7WPEKJ6fs2c8fF05MLVQiLOZXJ/l+ZqRxJC1IO77rpL7QhCCGF064+kcvFaEV7Odjx1j8zaFsZh1FskbG1tuffee7n33nuNeVghhNCbMaAD3x66QMS5TE5fzKFLKze1I92gqLRyne2C0gruae/JKyP86/2c97Rvgq21hks5xSRk5OPbzKXezynMn9RsIYQ5GNejpQxui0bN3Op1cXExmZmZALRu3fqW23p4eODk5ERBQQEpKSlGzxIWFqafRX7q1Cn9a7t37wagf//+PPvss9XuW1JSQklJif7fubm5Rs8nRF0oisLwAG++2neeHbFXZHBbCAvj5+fH8ePHuXr1qtpRhBDCqErLtYTuqpy1/cLgjjjYWqmcSFgK4y8AK4QQ9aiNpyNj/lhX+vM9CSqnudk/fzrNmct5eDnb8ukTPbG2qv+PWQdbK/q0q1xjcU9cZr2fTwghhGgoD3ZtgZVG4WRqDokZsv6uEKYuLy9P/9zZ2fm22zs5OQH1s752ZGQkK1euZOXKlRw9ehSobH9e9VrVwHd1Fi5ciJubm/7Rpk0bo+cToq6qWpP/diadCq1O5TRCCGN6/PHH0el0bN68We0oQghhVN9Hp3DxWhHNXOx46h4fteMICyKD20IIs/P8oI4AbD11ifOZBSqnuW5ddArfR6eiKPDJ4z1p5mrfYOce6F/Zoj3inKy7LYQQwnJ4OdsxwK+yxv10Ik3lNEKI2ykuLtY/t7W1ve32VW3Vi4qKjJ4lPDy8xvXKdTod4eHhNe47Z84ccnJy9I/6mFkuRF31bueBm4MNVwtKOXohW+04Qggjeumll+jevTuff/45ERERasdpcN988w3PP/+8fskVRVFuWaeFEOahpLzihlnb9jYya1sYj9Hakp84cYKIiAgSExPJy8ujoqLiltsrisLy5cuNdXohRCMS0MKVIXc1ZdfZDJbtTWThw13VjsTZy3m8vfE0AC8P9+de34ZdD3ygf1Pe//kMBxOzKC6rkD8WxC1JzRZCmJNxPVqy+2wGG4+nMWuYH4qiqB1JiAZhjvXa3v76zZ2lpaW33b6q9beDg0O9ZboTdnZ2JrmeuWjcbKw0DLmrKRuOp7Ej5gpBf3TvEkKYPzs7O3799VcefvhhRowYwUsvvcSTTz5Jp06dbqitluqtt94iOTkZLy8vWrRoQXJystqRhBBG8H1UCpdyivF2teOJPjJrWxiXwYPbZ8+e5ZlnnuHgwYO13ken05nEF28hhPl6YbAvu85m8MORVF4e7tegs6T/qqCknBe+PUJxmZYBfl68OMS3wTPc5e1CMxc70vNKiE7Kpr9fww6uC/MgNVsIYY5GBDbH3uYU5zMLOHUxh26t3dWOJES9Mud67eLion9em1bjBQWVXZhq08JcDaGhoYSGht72xgIhGsrwQG82HE9je+wV5jwYoHYcIYSRWFldn6Cg0+lYtGgRixYtqtW+iqJQXl5eX9EaRFhYGH5+frRt25Z///vfzJkzR+1IQggDFZdVELqrcknRvw32lYlYwugMGty+ePEiAwcOJDMzE52ucr0fZ2dnPDw80Gik43lDky/eojEJaudBr7YeHEnO5qt9SfzjgU6q5NDpdMz58RSJGQU0d7Xn44k90GgafkaZoigM8GvKD0dTiTiXIYPb4iZSs4UQ5srZzprhAd5sPnmJjcfTZHBbWDRzr9f29vY0adKErKwsUlNTb7ltdna2fnDbVNe0DgkJISQkhNzcXNzc3NSOIwSD/JtiY6WQmFFAQkY+HZua5o0hQoi6qar5Nf3b0g0fPlztCEIII1sblcLl3GKau9ozMcg0/9YX5s2gwe0FCxaQkZGBoig8++yzvPrqq/j7+xsrm6gj+eItGhNFUXhhUEeeXRXNtweT+duQjrja2zR4jm8PXeCnE2lYaRT+35M9aeKsXvvCgf5e/HA0lT1xGXIXv7iJ1GwhhDkb36MVm09eYtOJNOY+GICVCjeSCdEQLKFeBwYGEhERQXx8POXl5VhbV3/Z4cyZM/rnAQHyt6sQteFib0PfDk2IOJfJjpgrdBwkg9tCWIJ//vOfqpw3PT2dw4cPc/jwYaKiooiKiiIrKwuAKVOm1Gnd6+TkZD755BO2bNlCSkoKdnZ2dOzYkccee4yQkBAcHR3r6bcQQpia4rIKPttdudZ2yBBZa1vUD4MGt3/55RcURWHy5MksW7bMWJmEEKJWhnZqhr+3M3FX8vnmYDJ/G9yw7cBPX8zh3U0xALxx/130VnnNs/6+XigKnLmcR3pusaqt2oXpkZothDBnA/2b4uZgQ3peCQcTswj2lQ4lwjJZQr3u378/ERERFBQUcOTIEe65555qt9uzZ4/+eXBwcEPFqxPpjiZM0YhA78rB7dgrPD+oo9pxhBBGoNbgtre3t1GOs2nTJiZNmkRubq7+tcLCQqKjo4mOjiYsLIwtW7bg69vwy/gJIRred4cvcCW3hJZu9jwms7ZFPTGor1laWhoAkydPNkoYIYSoC41GYeYfX+a/ikyiuKzhLjrlFJXxt2+PUlqhZXhAM2YM6NBg565JE2c7urSs7NoQcS5T5TTC1EjNFkKYM1trDQ92bQHAxuMXVU4jRP2xhHo9fvx4/fMVK1ZUu41Wq2XVqlUAuLu7M2TIkIaIVmchISHExMQQFRWldhQh9IYFVA5GHUnOJiu/ROU0QghL4ePjw8iRI+u837Fjx5g4cSK5ubk4OzuzYMEC9u/fz86dO5kxYwYAcXFxjBo1iry8PGPHFkKYmMpZ23+stT3EFztrmbUt6odBg9seHh5A5ZdRIYRQw5juLWnl7kBmfgnrj9x6XT9j0el0vL7+BBeuFtLaw4FFj/ZAUUyjPeqAP9ba3nsuQ+UkwtRIzTYtoaGhBAYGEhQUpHYUIczG+B4tAdh66nKD3tAmREOyhHrdp08fBgwYAMDy5cs5cODATdssWrSI2NhYAGbNmoWNTcMvLySEuWrl7kDnlq5odfDbmXS14wghzNi8efPYtGkTly9fJjk5maVLl9b5GLNmzaKoqAhra2u2bdvG3Llz6devH0OHDmXZsmX85z//ASoHuBctWmTsX0EIYWK+OZhMRl4JrdwdeKy3zNoW9cegwe3evXsDlcVJCCHUYGOl4dkB7QFYtjeR8gptvZ9zeeR5fv39CrZWGj576m7cHE3nYtxA/6YARJ7LRKvVqZxGmBKp2aZFZoIJUXdB7Txp4WZPXkk5u8/KxXxhmUyhXkdGRhIeHq5/rF+/Xv+z+Pj4G35W01qcS5YswcHBgfLyckaOHMnChQs5ePAgu3bt4vnnn+f1118HwN/fn9mzZzfEr3VH5GY0YaqG/zF7e0fsFZWTCCHqQ0JCAt988w0ffvgh7777LpmZ9dOdb/78+YwePfqO25MfPnyYiIgIAKZPn06/fv1u2mb27NkEBAQAlX8flJWV3XlgIYRJKyqt4Is9iQCEDPHF1tqg4Uchbsmgd9dLL72ETqcz27XAhBCWYWJQGzwcbbhwtZCfT1+u13MdSc7m31vPAPDW6AC6tXav1/PV1d0+HjjZWpFVUErMpdzb7yAaDanZQghzp9EojO1eOXt74/E0ldMIUT9MoV6HhYUxbdo0/eO1117T/2zfvn03/GzatGnVHqNnz56sXbsWV1dX8vPzb5rFBZUD21u2bMHFxaVBfq87ITejCVM1IrByIGpvXKZ0MxHCghw9epSBAwfi7+/PlClTeOONN5g/fz7p6Tfe2BkaGkqzZs3w8/NTdbB4w4YN+uc1/U2g0Wj0y61cu3aNXbt2NUQ0IYQKvjmYTGZ+5aztR3q1VjuOsHAGDW6PGDGCN954g127dvHCCy/InVdCCFU42loz9d7K2duf705Ap6ufGctXC0p5cfVRyrU6RnVrwdN929bLeQxha62hX8cmAOyJk9bk4jqp2UIISzCuRysAdp5JJ7dYPseE5bGkej1mzBhOnjzJyy+/jL+/P46Ojri7u9O7d28++OADjh07hq+vr9oxhTBLnVu60sLNnqKyCvYnkEKYqAAAmulJREFU1M+MTiFEw9q8eTPBwcHs27cPnU6nf1Rn8uTJFBUVkZiYyObNmxs46XWRkZEAODk50atXrxq3GzRokP75vn376j2XEKLhFZaW88WeyrW2/z5UZm2L+mdtyM6rVq0iICCAe++9l2XLlrFp0yYeeeQROnXqhKOj4233r7prSwghDDW5X1uW7k0g9lIue89lMuiP9tzGotXqeOX741zKKaa9lxP/friryayz/VcD/ZuyIzadiHMZhAyRC4aiktRsIYQlCGjhgl8zZ86l5/PL6cuyhpewOKZQr2/Vbryu2rZty+LFi1m8eLFRjieEqKQoCsMDvPn6YDLbY9IZ2unOWgoLIUzDpUuXeOKJJygpKaFz5858+OGH9O/fv8buJi4uLowdO5Y1a9awdetWHnrooQZOXCk2NhYAX19frK1rHmbo1KnTTfsIISzL1weSySoopY2nAxNk1rZoAAYNbk+dOvWGwZ1Lly7x6aef1mpfRVHkQrkQwmg8nGx5oo8PyyPP8/nueKMPbn++J4HdZzOws65cZ9vF3nTW2f6rAX6Vv/uR5GwKSspxsjPoo15YCKnZQghLoCgK43q05MNtcfx0PE0Gt4XFkXptWkJDQwkNDaWiQto+C9MzPLBycHtn7BW02i5oNKZ587UQ4vY++ugjCgoKaNu2LREREbi7u992n8GDB/Pdd99x5MiR+g9YjeLiYv1a4K1b33ogy8PDAycnJwoKCkhJSbnp52FhYfpZ4KdOndK/tnv3bgD69+/Ps88+W+2xS0pKKCkp0f87N1eW6BOioRWUlLN0b+Va238f4oeNlczaFvXP4HfZn9uk1PUhjCs0NJTAwECCgoLUjiKEKp4d0B4bK4WDiVc5eiHbaMc9kJDFom1nAfjXuC4EtHA12rHrQ7smjrTxdKCsQsfBxCy14wgTIjVbCGEJxnavbE2+PyGT9NxildMIYXxSr02HrLktTFnfDp4421mTnlfCyYs5ascRQhjgl19+QVEUZs+eXauBbbg+G/r8+fP1mKxmeXl5+ufOzs633d7JyQmA/Pz8m34WGRnJypUrWblyJUePHgUq25dXvVY18F2dhQsX4ubmpn+0aSM3vwrR0FYdSOZqQSk+no48dHcrteOIRsKg6XxqFU9RvZCQEEJCQsjNzcXNzU3tOEI0uBZuDozv0Yp1R1L5YncCyyb3NviY6XnFvLTmGFodTLi7NY/2Nv22KoqiMNCvKd8eusDeuAyGBUiLOiE1WwhhOXyaOHK3jztHL1xj08lLTO/fXu1IQhiN1GshRG3ZWVsxyL8pW05dYkfMFXq0cVc7khDiDiUnJwPQp0+fWu/j6lo58aK6weKGUFx8/SZTW1vb225vZ2cHQFFR0U0/M2RJlDlz5vDKK6/o/52bmysD3EI0oPyScpbtvb7WtszaFg3FoMHttm3bGiuHEEIYxfODOrD+aCrbYq4Qn56Hb7Pq1yeqjQqtjlnfHScjrwR/b2f+Nb6zya6z/VcDqga3z2WqHUWYCKnZxlFcXMzcuXOJjo4mPj6eq1ev4u7uTseOHXn22WeZNGkSNjamu2yBEJZiXI9WHL1wjZ+OX5TBbWFRpF4LIepieGCzysHt2Cu8et9dascRQtyh8vJyALRaba33ycmp7NhQm1nT9cHe3l7/vLS09LbbV7UOd3BwMGoOOzs7/cC5EKLhrdyfRHZhGe2aOPJQT5m1LRqO3EYhhLAovs1cGPHHTOUv9iQadKwlO+I4kJiFo60Vnz11N4625rN29b2+TbDSKJzPLCDlaqHacYSwGPn5+Xz++ecoisKoUaN45ZVXeOihh7h48SLPPPMMo0ePrtMFCSHEnRnVrQVWGoUTqTmczyxQO44QQgihiiF3NcNKo3Dmcp587xPCjDVv3hyAxMTaX8c6fPgwAD4+PvWS6XZcXK5PJqnN7PGCgsq/2dUajBdCGF9ecRlfRvyx1vZQP6xl1rZoQPJuMwEXL17k448/ZuTIkfj4+GBra0vz5s2ZMGEChw4dUjueEGZn5uCOAGw4dpG0aze3O6qNPXEZfLorHoCFD3c1aAa4Glztbbjbxx2Avecy1A0jhAXx9PQkJyeHPXv28OWXX/L+++/z+eefEx8fz+DBg9m2bRtbt25VO6YQFs/L2Y7+vl4AbDx+UeU0QghLFRoaSmBgIEFBQWpHEaJa7o629G7rAcD2mCsqpxFC3KkBAwag0+lYt25drbYvLS1l6dKlKIrC4MGD6zdcDezt7WnSpAkAqampt9w2OztbP7hdXy3DpWYL0fBW7k/iWmEZHbycGNejpdpxRCMjg9sm4NNPP+Xll18mMTGRkSNHMnv2bPr378/GjRu59957Wbt2rdoRhTArd/t40LeDJ+VaHcsj675u4aWcIl5eexydDp66x4dxPcyzpcoAv6YA7I2TwW0hjEWj0VS7npi1tTUPPfQQAPHx8Q0dS4hGqerL80/H09DpdCqnEUJYopCQEGJiYoiKilI7ihA1GhFY2blsR6wMbgthrqZOnQrATz/9xPbt22+5bWlpKZMnTyYhIQFFUZgxY0YDJKxeYGAgUPkduKq1enXOnDmjfx4QEFAvWaRmC9GwcovL+DKi8rr7S8Nk1rZoeLXqsTt06FAAFEVh586dN71+J/56rMasT58+7N69m0GDBt3wekREBMOGDeOFF15g/Pjxsn6IEHXwwmBfDiYe5rvDF3hxiC8eTjcPRlWnrELLi6uPcbWglM4tXXl7dGA9J60/A/2bsnh7HPvjsyiv0MofGY2EKdfs9PR0Dh8+zOHDh4mKiiIqKoqsrCwApkyZQnh4eK2PlZyczCeffMKWLVtISUnBzs6Ojh078thjjxESEoKjo6PBeetCq9Xyyy+/ANClS5cGPbcQjdXIzs2xtzlFYmYBpy/m0rW1m9qRhKg1U67XQgjzMiLQm/e2xHLo/FVyCstwc7RRO5IQoo4GDx7MxIkTWbt2LWPGjGHWrFlMmDBB//OkpCSuXbvGvn37WLZsGYmJiSiKwsyZM+ncubNqufv3709ERAQFBQUcOXKEe+65p9rt9uzZo38eHBzcUPGEEPUofF8SOUVldGzqxJjuMmtbNLxaDW7v3r0bqPyy/NfXFUWp00yJqu3/eqzG7OGHH6729QEDBjBkyBC2bdvGqVOn6N27dwMnE8J8DfTzIrCFKzGXcll1IJlZw/1qtd9/fz3LkeRsXOys+eypu7G3sarnpPWnays33B1tuFZYxvGUa/Ru56l2JNEATLlme3t7G+U4mzZtYtKkSeTm5upfKywsJDo6mujoaMLCwtiyZQu+vr5GOV91SktLef/999HpdGRlZbFz507OnDnDtGnTGDZsWL2dVwhxnbOdNcMDvNl88hIbj1+UwW1hVky5XgshzEvbJk74NXPmXHo+u+PSzbbzmBCNXXh4OHl5efz88898+OGHfPjhh/raPmbMGP12VX8jPPzwwyxZskSVrFXGjx/PwoULAVixYkW1g9tarZZVq1YB4O7uzpAhQxo0oxDC+HKKygj7Y63tl4b5YaWR7yGi4dVqcHvgwIHVflGu6fWGZMmzwABsbCrvuLW2rtX/VUKIPyiKwguDO/L3744Rvv88Mwa2x9H21v8dbfv9Msv2Vhbm/z7ajbZNnBoiar2x0igE+3qx5eQl9p7LlMHtRsKUa/af+fj40KlTJ7Zt21an/Y4dO8bEiRMpKirC2dmZOXPmMGTIEIqKilizZg1ffvklcXFxjBo1iujoaFxcXOolf2lpKfPnz9f/W1EUXn31Vf0XeyFEwxjXoxWbT17ipxNpzHkwQL5UC7NhLvVaCGEeRgR6cy49n+0xV2RwWwgzZWdnx+bNm/nyyy/5z3/+Q0JCQrXbtW7dmrlz5zJz5swGTnizPn36MGDAACIiIli+fDlTpkyhX79+N2yzaNEiYmNjAZg1a5b+WrexhYaGEhoaSkVFRb0cXwhx3Yp958ktLse3mTOju8msbaGOOs3cru3rDcmSZoH91YULF9ixYwctWrSga9euDXZeISzFA12a07aJI8lZhayNSmFacPsat025Wsir604AML1/e+7v0qKhYtarQX5NKwe34zJ4ZYS/2nFEAzDlmj1v3jyCgoIICgrC29ubpKQk2rev+b/L6syaNYuioiKsra3Ztm3bDV+chw4dip+fH6+//jpxcXEsWrSId95556ZjzJ49m5KSkjqd08/vxu4Pzs7O6HQ6tFotaWlpbNq0iblz53LgwAF+/vlnXF1d6/R7CSHuzCD/prg52JCeV8KhxCzu9fVSO5IQtWLK9VoIYX6GB3rz2e4E9pzNoLRci621LEklhLmaMWMGM2bMICYmhujoaNLT06moqKBJkyb07NmTu+++22g3wkVGRhIfH6//d2Zmpv55fHz8TZPGqtYG/7MlS5YQHBxMUVERI0eOZO7cuTfcgL5s2TIA/P39mT17tlFyVyckJISQkBByc3Nxc5OOTkLUl5yiMpZHVq61PUtmbQsVWdR0YHOfBfZnZWVlPP3005SUlPDBBx9gZWW+rZGFUIu1lYbnBnbgzf+d5su9iUzq2xabatadLimvIGT1UXKLy+np484b93dSIW39GOBfeZH/ZOo1rhWW4u5Yu7XHhagPf57pfCcOHz5MREQEANOnT7/pjnCoHLhesWIFsbGxLFmyhDfffPOmO8OXLl1KQUFBrc/7yCOP3DS4XUWj0dC6dWteeOEFvLy8eOyxx1iwYAEffPBBHX4zIcSdsrXW8GDX5nx3OIWNx9NkcFsIYVQyC0yYix6t3fFytiUzv5TD56/S30/qoRDmLjAwkMDAwHo9R1hYGCtXrqz2Z/v27WPfvn03vFbd4HbPnj1Zu3atftLY3Llzb9rG39+fLVu2NMg1dSFE/VoeeZ684nL8vZ0Z1dUyJocJ82T2g9uWNAusilarZerUqezdu5cZM2bw9NNP1+n3EUJcN+Hu1ny0/RxpOcX8dDyNCb1a37TNgi2xnEzNwd3Rhv/35N0WdZd7CzcH/fpr++KzGNVN/ugQ5mvDhg3659OmTat2G41Gw+TJk5kzZw7Xrl1j165djBw58oZt8vPz6yVf1Xlk1p0QDWtcj1Z8dziFn09fYv64ztjbyE2hQgjjkFlgwlxoNArDOnmzNjqF7TGXZXBbCNGgxowZw8mTJ1myZAlbtmwhNTUVW1tbfH19efTRR3nxxRdVWe5TCGFc2QWlrNDP2vZHI7O2hYrqZXC7vLyc7OxsADw8POp1vWhLmwWm1Wp55plnWL16NZMmTeKLL76o428khPgzexsrnunfjv/8cpYv9iTwUM9WNxTeTSfSWHUgGYCPJvaglbuDWlHrzQC/ppxLz2dvXIYMboubNGTNNlRkZCQATk5O9OrVq8btBg0apH++b9++mwa360taWhpAva0hJoSoXp92njR3tedybjG7z2Zwf5fmakcSwujMqV4LIdQxIrBycHtHbDrvjNUZrW2xEMJyhYeH39R6/E61bduWxYsXs3jxYqMcr66k24oQ9W9ZRCJ5JeV0au7CA/K9W6jMaN+IY2Ji+OKLL9ixYwdxcXHodDoAFEXBz8+P4cOH8/zzz9OlSxdjndIoTGkWmFarZdq0aaxatYonnniC8PBwNBrLmUEqhFom9W3L57sSOJeez29n0hke6A1AYkY+//jhJAAhQzoy5K5masasNwP9vfhq33kizmWg08lFDmG+NTs2NhYAX1/fW17U79Tp+tICVfsYS0xMDO3atbvprvPCwkJeeeUVAB588EGjnlMIcWsajcLYHi1ZtjeRn05clMFtYTHMtV4LIdQR7OuFvY2Gi9eKiL2UR2BLV7UjCSFq6d13363zPoqiYG9vj5ubG35+fvTq1QtX18b73710WxGifmXklRC+LwmA2SPvklnbQnUGD25rtVpee+01PvnkE7Rarf4LdxWdTsfZs2eJi4vjiy++4MUXX2TRokUmM2hrKrPA/jywPXHiRL7++mtZZ1sII3G1t+Gpvm35Yk8Cn+2OZ1hAM0rKtfzt26MUlFZwT3tPXh7ur3bMenNP+ybYWmtIyykmISMf32ayxlFjZc41u7i4mMzMTABat755eYE/8/DwwMnJiYKCAlJSUoya4/vvv2fx4sX079+fdu3a4erqysWLF9m6dStZWVkMGDCAl19+ucb9S0pKbljGJDc316j5hGisxv0xuL0jNp3c4jJc7aWDgjBf5lyvhRDqcbC1or9vU3bEXmFH7BUZ3BbCjLzzzjsGT0SwsbFh3LhxLFiwAF9fXyMlE0KISp/vTqCorILurd0YHmCZE8SEeTF4cPvJJ59k3bp1+i/cnTt3pk+fPnh7V86MvHLlClFRUZw+fZqKigo++eQT0tLSWLt2raGnNgpTmAVW1Yp81apVPProo3zzzTcysC2EkT0T3I6v9p3n6IVrRCVls/5ICmcu5+HlbMunT/TE2spyLwY62FrRp50nkfGZ7InLlMHtRsyca3ZeXp7+ubOz8223rxrcNvb62qNHjyYtLY39+/dz4MAB8vPzcXNzo1u3bjz++OM888wzt/x7YuHChQYvqSKEuFlgC1d8mzkTn57Pr6cv82jvNmpHEuKOmXO9FkKoa0RgM3bEXmF7zBVeGnbzUnhCCNP15w4tf72x7a+q26a0tJT169ezZcsWNm7cyLBhw+otqxCicbmUU8Q3hyqX9Zw98i7pCipMgkGD22vWrOH7779HURS6d+/OsmXLCAoKqnbbqKgoZs6cybFjx1i/fj1r1qzh8ccfN+T0BjOVWWDvvvsuK1euxNnZGX9/f957772bthk/fjw9evSodn+ZBSbE7TVzteeRXq1ZfegCs9Yc41JOMYoCnzzek2au9mrHq3cD/b2IjM8k4lwG0/u3VzuOUIEl1Owqtra2t93ezs4OgKKiIqPm6N27N717977j/efMmaNvXw6VNbtNGxmEE8JQiqIwrntLFm2P46cTaTK4LcyWuddrIYS6hnbyRlFOcepiDpdyimjh5qB2pForLddiY6XIBXPRKGm1Wi5cuMDEiRM5dOgQDz30EJMnT6Z37940bdoUgIyMDKKjo1m5ciUbNmzgnnvuYfXq1Xh6enL69GlWr17NsmXLKCws5JFHHiE+Pp4mTZqo/JsJISzBp7/FU1qupU87Twb4eakdRwjAwMHtZcuWAeDv709kZCROTk41bhsUFMTevXvp3bs3Z8+eZenSpap/8TaVWWBJSUlA5brdCxYsqHabdu3a1Ti4LbPAhKid5wZ0YM3hC1zKqRwke3m4P/f6No6CPMCvKXCGg4lZFJdVYG8j3SEaG3Ov2fb2129CKS0tve32VTd9OTiY1gU9Ozs7/cC7EMK4xvVoxaLtceyLzyQ9r5hmLpZ/85qwPOZery1NaGgooaGhVFRUqB1FiFpp6mJHzzbuHL1wjZ2x6Uzq21btSLdUXqFl55l0vj10gb1xGXRq7sLbowMJbiTf04WokpeXx8iRI0lMTGTdunVMmDDhpm1atWpFq1atGDduHD/88AOPP/44I0eOJDo6muDgYIKDgxk7diyjR48mNzeX0NBQ5s2bp8Jvow6p2ULUjwtZhXwfVTnZc/ZIf7kJTZgMg/rwnjhxAkVReOONN275pbuKk5MTb7zxhn5ftZnKLLDw8HB0Ot0tH1OnTq1x/zlz5pCTk6N/GHtmuRCWop2XEw92bQHAQP+mvDik8axB1Km5C81c7Cgu0xKdlK12HKECc6/ZLi7X2+nX5iazgoICoHY3r6khNDSUwMDAGmfjCSHqzqeJIz193NHqYPOJS2rHEeKOmHu9tjQhISHExMQQFRWldhQham14YOUSBjtir6icpGZXcotZsuMcA/6zi+e/PsLeuAwAzlzO46mwQ8xYFU1SZoHKKYVoOB9//DFxcXG88MIL1Q5s/9WECROYOXMmCQkJLFq0SP/6fffdx1NPPYVOp2Pr1q31GdnkSM0Won4s2XmOcq2OAX5e3NNBukEI02HQ4HbVzKlu3brVep+qbcvKygw5tVFY0iwwV1fXGx5CiOotGN+V9x/qSuiTPdFoGs+dZoqi/DF7GyLOZaicRqjBEmp2VUu11NTUW26bnZ2tH9w21Zbf8sVbiPoxrntLADaeSFM5iRB3xtzrtRBCfSP/GNzeH59Ffkm5ymmu02p1RJ7LZObXR7j337/x0Y44LuUU4+lky8xBHdn89/5MvbcdVhqF7TFXGPHRHhb+HEtesXy2Ccu3bt06FEXhoYceqvU+VYPgP/744w2vjxs3DoD4+HjjBRRCNErx6fn871jlNbjZI+9SOY0QNzJocLtt28r2Rjk5ObXep2o96Kp91SSzwIRofNwcbXjyHh9c7G3UjtLgBvpXtnbbEyeD242RuddsgMDAQKDyS3p5ec0X6s6cOaN/HhAQUO+5hBCmY1S3llhpFE6kXJMZX8IsWUK9FkKoq2NTZ9o1caS0QkuECXz3yy4o5cu9iQxbvIdJyw/xy++XqdDqCGrnwZLHe3BgzlD+8UAnurRy452xnfll1gAG+jelrELH0r2JDPlwN2sOX6BCq1P7VxGi3pw/fx6gThOWqrZNTk6+4fWqvweq/j4QQog79fGOOLQ6GB7gTY827mrHEeIGBg1uT5gwAZ1Oxw8//FDrfdavX1/nO9Hqi8wCE0I0Jv19vVCUylZv6bnFt99BWBRzr9kA/fv3BypvNjty5EiN2+3Zs0f/PDg4uN5zCSFMR1MXO/06nRuPy+xtYX4soV4LIdSlKArDAypnb29XqTW5Tqfj6IVsXvn+OPcs3MmCn2M5n1mAs501k/u15df/G8i6mfcyrkcr7KytbtjXz9uFldOC+Gpqbzp4OZGZX8o/fjzFmE8jOZSYpcrvI0R9s7GpnIBx+vTpWu9TtW3VvlW0Wi0A7u7uxgknhGiUYi/lsvlk5XJfr4zwVzmNEDczaHD7lVdeoUOHDixdupTvv//+ttuvX7+epUuX0r59e1599VVDTm00MgtM/P/27jwuqqr/A/jnDsO+g4g7LoBK7oI7KmpULqVlWmmCe4X9fMriSXtSW8ystKyHStPEJbPdXNLHNERUjEXMDQVUFkVlkX2Hub8/iEliG2CYe2f4vF+veXnlnnvPd2bu3O+dOfecQ9RaOFqZok8HWwBAWHyGxNGQrhlCzp46dap6edu2bbWWUalU2LFjB4DKL/M+Pj66CK3RONoKUcv5e2jyWxBF9vIi/WII+ZqIpFc17/bvV9JQXqHSWb0FJeX4+o8kTPzkJB7/7DR+OnsLpeUqPNDBBmsf74s/VozHW4/1Qc921vXuRxAEjOvljMP/Go03JnvA2kyJy7dzMXPzGbzwdTRS7hXq6BkR6Ua/fv0giiI+/PBD9bSY9SkuLsYHH3wAQRDQt2/fauuuXbsGAHBycmqRWImoddjwWxwAYFK/9vDowGlwSX6a1bhta2uLo0ePYtCgQXj66acxdepU7N27F7du3UJZWRnKy8tx69Yt7N27F9OmTcPMmTMxaNAgHDt2DLa2ttp6Ds1iSL3A+EM5ETXE262yN9sJzrvd6hhCzh4yZAi8vb0BAFu3bkV4eHiNMuvXr0dsbCwAYOnSpTXuYpcLjrZC1HJ8H3CGqVKB6+kFuJTK4RhJvxhCviYi6Xm62MPOwhjZhWWITspq8fqu3MnFf/ZewNB3j+H1ny8i9nYuTJUKPDGoE35+YQQOvDgKTw/pAktTZaP2a6JUYP6obgh91Qezh3WBQgB+vXAH4zeE4v3DV2Q1pzhRc8ybNw8AcOnSJUyYMKFaJ6t/io2NxYQJE3Dp0iUAwPz586utP3r0KARBQP/+/VsuYBni7+JE2vNnSjZ+u3wXCgF4aYKb1OEQ1UoQm9Gdwcjo76GDRFGEIAj1ltekjCAI9fagbkhiYiK6desGAPDz80NwcHC95SMiIjB06FAAwOLFi/HFF1/UKKNSqdCnTx/ExsbCzs4OaWlpsv2xHKicU8XW1hY5OTmNmquFiAzfmeuZeGrzGThamiDy9QlQKOo/J1PTye1cLIecffLkSSQkJKj/n5GRgVdffRVA5Y1jCxYsqFbe39+/xj5iYmIwcuRIFBUVwcrKCitWrICPjw+KioqwZ88ebN68GQDg7u6OqKgoWFvX3ytEanI7TogMRcDuszh4/jYWjOqG/0z2kDockjG5nYflkK+pJrkdJ0SaePnbc/gp5hYWenfD65O0nwuLyypw+OId7DqThKj7GtC7t7HEM0O7YPrgTrCzMNFqnVfu5OLtA5dxKqFyePK21qYIfLgXHh/Ykd9tWwFDPxdPnToV+/btU+f1gQMHYvDgweoe2Onp6YiOjkZMTAyAymuAKVOm4JdfflHvIycnBy4uLsjNzcX27dvx7LPP6v6JSMzQjxMiXZjzVQROxKXj8UEdsWHGAKnDIT2jq/Nw426Z/Id/totr0k4ut6EBq3qBhYWFYevWrfDz88Pw4cOrldGXXmBERA0Z1MUeliZGyCwoxeXbuejTkT18Wgs55OwtW7Zg+/btta47deoUTp06Ve1vtTVuDxw4EN9++y1mz56N3NxcrFixokYZd3d3HDx4UNYN20FBQQgKCkJFRYXUoRAZpMf6d8DB87ex/3wqlk/sDSP+4E16Qg75mogMwwQPZ/wUcwu/Xb6LFRN7N3gjjKaSMguw+49kfB99E/cKSgEASoUA3wecMWuoC0b0cNRaXf/Uq50Nds0fit8u38WaX2ORlFmIV77/EzvDE7FyigcGuzi0SL1EuvDDDz/g//7v/7Bp0yaIooiYmBh1Q/b9qm5sW7RoET799NNq68rLy9WN3Z6enjqJm4gMS8SNezgRlw6lQsDS8ey1TfLVrMbtVatWaSuOJqutF1iVhISEGj23a/uhfOPGjepeYL6+vvX2Alu2bFmLPA9t4A/lRNQQE6UCw3s44mhsGk7Ep7NxuxWRQ87WlilTpuD8+fPYuHEjDh48iJs3b8LExASurq548sknsWTJElhYWEgdZr0CAgIQEBCgvpuRiLRrTE8n2JgpcTe3BH/cyMSIHm2kDolII4aUr4lIWqPdnWBipEBiZiGupefDtW3Tb/wsr1Dh2JU0fP1HMk7E/T3FVXtbMzw9pAue8uqMtjZm2gi7QYIgwPeBdhjT0wnBpxLx6e8J+PNmDp74PByP9u+A1x7phQ525jqJhUiblEolPvvsMyxatAibN2/G0aNHq/3mDQA9evTA+PHjsWjRIgwaNKjGPhwdHTFmzBhdhUxEBkYURXx45CoA4EnPznBxtJQ4IqK6NWtYcjnw9/evsxdYbep6uvv371f3AqtNVS8wV1fXJsWpSxx+hYjqsyM8ESt/uYRh3R2wZ9HwhjegJuG5mDTB44So5Sz/6Ty+iUjBTM/OWDe9n9ThkEzxPEya4HFC+srvqwiExqXj3w/3wvNjezR6+7u5xdgTkYI9kcm4nVMMABAEYLSbE2YPc4FPTycojRTaDrtR0vNK8OH/ruK76BSIImBmrMDi0T3w3JgeMDcxangHpDda47m4pKQE2dnZAAA7OzuYmppKG5AeaI3HCZG2nIzPwOytf8DESIHjr47lzWLUJLo6D0t7BSojVb3AXnrpJbi7u8PCwgJ2dnbw9PTEunXrEBMToxcN20REDfF2q5yvKTopCwUlnH+RiIgM06P9OwIAfr14GyXlHNmIiBovKCgIHh4e8PLykjoUoiaZ4OEMADgae1fjbVQqESfjM/DczmiMeO93fHQ0DrdziuFgaYLnxvRA6Cs+2D5vCB70cJa8YRsAnKxNsW56P+xfMgpDujmguEyFjcfiMW79ceyNucWpG0ivmZqawtnZGc7OzmzYJqIWdX+v7WeGdmHDNsme3vfcppp4hxoR1UcURYz+IAQp94qw1c8T43s7Sx2SQeK5mDTB44So5ahUIka89zvu5BZj07OD8dAD7aQOiWSI52HSBI8T0le3c4owfO3vEAQgYsUEOFnX3TiWVVCKH6JvYndEMm5kFKj/7tXVHrOHueDhPu1gqpR3T2hRFHHo4h28+2ssbmYVAQAGdrHDqikPYEBnO2mDo2bjuZg0weOEqGmOxd7F/O1RMDNW4ESgD9pa62a6ETI8ujoPN2vO7X8qLy/H2bNnceHCBdy7dw8A4ODggD59+mDQoEEwNjbWZnX0D5xzm4g0IQgCvN2csPuv+dLYuN06MWdLizmbqOUpFAIeHdABm09cx75zqWzcJr3EfE1EzdHe1hx9O9riwq0chFxJwwyvztXWi6KImJRs7DqThAPnb6O0XAUAsDJV4vFBHTFrqAt6tmv6XN26JggCJvZtj3G92mLryRsICklATHI2pgadwuMDOyLw4V5oZ8sf64kMEb9jEzWdSiVi/ZE4AIDfiK5s2Ca9oJWe2wUFBXj77bexdetW9Rfuf7K3t8f8+fPxn//8B9bW+nNhrI94hxoRNeTwxTt4blc0urWxRMgrY6UOxyDJ9VzMnC0vcj1OiAzFxVs5mPzpSZgqFYj6zwRYm7EhkKqT63mY+Vpe5HqcEGli49F4fHQ0Dg96OOPLOZ4AgIKScuw9dwu7ziQj9nauuuwDHWwwe5gLHu3fAZamWu0PI4m7ucV4//BV/Hj2JgDA3NgIL4ztgYWju8PMWN690KkmQzgXjxs3DkDljRjHjh2r8fem+Oe+WjtDOE6IdO3XC7fxwtdnYWWqRFigD+wtTaQOifSYrs7DzW7cvnr1Kh5++GEkJyc3OI+NIAjo3Lkz/ve//6Fnz57NqZbqwSRORA3JLS7DwLd+Q4VKRFigDzo7WEgdksGR47mYOVt+5HicEBkSURQxYUMorqUX4MMn+2P64E5Sh0QyI8fzMPN18926dQvff/89fv31V1y5cgV37tyBg4MDRo4cicDAQAwdOrRR+5PjcUKkqUupOZj0yUmYGSuwZ9Fw/Bh9Ez/H3EJ+STkAwFSpwJT+HTBraBcM6GwHQRAkjlj7/kzJxlsHLiM6KQsA0NHOHMsn9sKkvu0N8vkaKkM4FysUlfPUC4JQrYexQqGAIAiNmiO+qvw/99XaGcJxQqRLFSoRD318Aglp+Vg63g0vPegudUik5/RiWPKcnByMHz8et2/fhiiK6NOnD/z8/DBkyBA4O1cOc3v37l1ERkZi+/btuHDhApKTkzFhwgRcvHgRtra2WnkSRETUODZmxhjY2Q5RSVk4EZ+OWUNdpA6JWhhzNhG1RoIg4LEBHbHhtzj8cu4WG7dJ9pivtePTTz/FunXr0KNHD/j6+sLJyQnx8fHYu3cv9u7di927d2PmzJlSh0mkEx7tbdDRzhy3soswNeiU+u/d21jimaFdMH1wJ9hZGHYPrf6d7fDDc8Ox789UvHfoCm5lF2HJ7hjs6JqElVM80Kcjz52kG6NHj671hoq6/k5E1NL2/XkLCWn5sDU3xnzvblKHQ6SxZvXcXrFiBd577z0IgoC33noLK1asqDMRi6KItWvX4j//+Q8EQcC///1vvPvuu00OnGq6f26RuLg43qFGRPX65Fg8NvwWh4cfaIcvnh0sdTgGR253CzNny5PcjhMiQ5SUWYAxHxyHQgDOrBjP+cOoGrmdh5mvteOnn36Co6MjxowZU+3vYWFhGD9+PKysrHD79m2YmppqtD+5HSdEjbXm4GV8GXYDSoUA3wecMWuoC0b0cGyVjWlFpRXYdOIavgi9huIyFQQBeHJwJ7zyUE9eI8gcz8WkCR4nRJorq1BhwoZQJGUWIvDhnnhhrKvUIZEB0IthyXv37o24uDjMmDED33zzjUbbPP300/j222/Rs2dPxMbGNrVqqgeTOBFpIiY5C9M+Ow1rMyVi3ngQSiOF1CEZFLmdi5mz5UluxwmRoZoadArnUrKxaooH5o7k3ej0N7mdh5mvW95DDz2EI0eOIDIyEp6enhptI7fjhKixissqEHIlDYNd7NHWhg24AJCaXYR1h6/gl3OpAAArUyUCfFwxb1RXmCo5H7cc8VxMmuBxQqS5byKSsfynC2hjZYITgT6wMGnWQM9EAHR3Hm5WS0ZSUhIAwN/fX+NtqspWbUtERNLo18kOdhbGyCsux7mUbKnDoRbGnC0vQUFB8PDwgJeXl9ShELUKjw3oAADqH7CJ5EoO+TotLQ0HDhzAypUr8cgjj6BNmzYQBAGCIDQqrqqYli1bhl69esHS0hIODg7w8vLCBx98gMLCQq3E21jGxsYAAKWSP95R62FmbIRH+rZnw/Z9OtiZY+NTA/Hj8yPQv5Mt8kvKse7wFTy44QQOX7zTqLmPiYiI9E1xWQU+ORYPAHh+rCsbtknvNKtx29raGgDQtm1bjbepKmtlZdWcqomIqJmMFAJGurYBAJyIz5A4GmppzNnyEhAQgMuXLyMyMlLqUIhahcn9OkAhAOdSspGYUSB1OER1kkO+dnZ2xpQpU/D222/j8OHDyMzMbNJ+9u/fj379+mHDhg24evUqCgsLkZWVhaioKAQGBmLgwIFISEjQSsyaSk5OxtGjR9G+fXv07dtXp3UTkTwNdrHHzy+MxPon+6OttSmS7xXiuV3ReObLPxB7O1fq8MgAvfzyy3j55ZeRlpZW6/qKigokJycjOTm53v1cv34dgwYNwuDBnGaOiBpvT0QybucUo52NGWYN7SJ1OESN1qzG7aovg/Hx8RpvU1WWXySJiKQ32u2vxu24dIkjoZbGnE1ErZmTtan6hq59f7L3NsmX3PJ1ly5d4Ovr2+jtYmJiMHPmTOTm5sLKygpr1qzB6dOncezYMSxcuBAAEBcXh0mTJiEvL0/bYdeqrKwMzz77LEpKSrBu3ToYGXHYYSKqpFAIeGJwJ4S8MhZLfFxholQg/HomJn0ShhU/X0BmfonUIZIB+fjjj7Fx40ZkZNTeyeDKlSvo2rUrunfvXu9+ioqKcO7cOZw7d64FoiQiQ1ZUWoH/hlwDACwZ5wozY14Xk/5p1lgDixcvxu+//46PP/4Y06dPh0JRf1u5SqXCRx99BEEQsGjRouZUTUREWjDa3QkAcP5mNrILS2FnYSJxRNRSmLOJqLV7bEBHhMVnYO+5W3hxnCsEQZA6JKIa5JCvV65cCS8vL3h5ecHZ2RmJiYno1q1xc9UvXboURUVFUCqVOHLkCIYPH65eN27cOLi5uSEwMBBxcXFYv349Vq9eXWMfy5YtQ0mJ5g1KS5cuhZubW63rVCoV/P39ceLECSxcuBDPPvtso54PEbUOlqZKvPJQT8z06oz3Dl3BwQu3sfuPZOz/MxVLx7thzvCuMFE2q58QkcY4ND4RtZQd4YnIyC9BJ3tzzPDsLHU4RE3SrMbtJ598EocPH8a2bdswdepUbN68Ge3atau17N27d7F48WL88ccfmDt3LmbOnNmcqqkWQUFBCAoKQkVFhdShEJGeaG9rDre2VohPy8ephExM6tde6pCohTBnE1Fr99ADznj9ZwWupxfgUmou+nS0lTokohrkkK/ffPPNZm0fERGBsLAwAMD8+fOrNWxXWbZsGbZt24bY2Fhs3LgRr7/+unou7CqbNm1CQYHm0whMnz691sZtlUqFefPmYffu3Zg9eza++OKLRj4jImptOjtYIGjWIMy5nom3DlzGpdRcvHMwFocu3sF3i4fDSMEb5Ijkhr+LE2kmr7gMX4RW9tpeOt6NN22R3mpW4/aOHTswZswYXLx4EQcOHED37t3h6+sLLy8vtG3bFoIg4O7du4iMjMSRI0dQUlICLy8vjBkzBjt27Khzv3PmzGlOWK1WQEAAAgICkJubC1tb/lhHRJrxdnNCfFo+TsSls3HbgDFnE1FrZ21mjAm9nXHwwm38cu4WG7dJlgwhX+/du1e9PHfu3FrLKBQKzJkzB8uXL0d2djZCQkJqDH+en5/f7FhUKhXmzp2LHTt24Omnn0ZwcHCDveGJiKoM7e6IfUtG4cfom3jrwGVEJ2Xh0MXbmNyvg9ShEdE/8HdxIs1sO5WIrMIydG9jiWkDO0odDlGTCWIzxjhRKBTVhvMTRbHO4f3qW1ctIEFAeXl5U0MiQJ3Ec3JyYGNjI3U4RCRzx6+mwX9bJDrYmuHUa+M4TKuWyO1czJwtL/ffVR4XFyeb44TI0P3v0h0s3hkNZxtTnH5tPHteEfO1Bu4fltzPzw/BwcH1lh89ejTCwsJgaWmJ7OxsKJW131MfHh6OESNGAKgcCr25Pcb/6f6G7ZkzZ+Lrr79u8jzbcjtOiEj3PvotDhuPxaNXO2scWurN780SMJRzcVWuv3DhAjw8PGqsv3TpEvr27QtBEOrthaxpudbGUI4TopaQXVgK73UhyCspxydPD8Sj/XmzFmmfrs7Dzb5lWRRF9eOf/9d0XW1liYhIN4Z2c4SJUoHUnGJcS29+DxmSL+Zs+QgICMDly5cRGRkpdShErcrYnk6wMVPibm4JIm7ckzocolrpe76OjY0FALi6utbZsA0AvXr1qrGNtlQNRb5jxw48+eST2LVrV5MbtomIAGDuyK6wNDHClTt5OBabJnU4REREjfZl2HXklZSjp7M1Jvfl6J2k35o1LPmNGze0FQcREUnE3MQIQ7o64GRCBkLjMuDa1lrqkKgFMGcTEQGmSiNM7NseeyJT8Mu5Wxjew1HqkIiq0fd8XVxcjIyMDABAp06d6i1rb28PS0tLFBQUICUlRatxvPXWW9i+fTusrKzg7u6Od955p0aZqVOnYsCAAVqtl4gMl52FCWYPd8Gm0Ov4b0gCxvduy97bRESkNzLyS7DtVCIA4GVfdyg4ihnpuWY1bru4uGgrDiIiktBo9zY4mZCBsPh0zB/VTepwqAUwZxMRVXp0QAfsiUzBrxdu483HHoCpkr05ST70PV/n5eWpl62srBosX9W4rY35te+XmJgIoHLe7jVr1tRapmvXrnU2bpeUlKCkpET9/9zcXK3GR0T6acGo7gg+lYhzKdk4fS0TI13bSB0SERGRRr44fg2FpRXo18kWvh7OUodD1GzNHpaciIj0n7ebEwDgzPVMFJdxriYiIjJcQ7s5wtnGFLnF5Qi9mi51OEQGpbi4WL1sYmLSYHlTU1MAQFFRkVbjCA4ObnCodn9//zq3X7t2LWxtbdWPzp07azU+ItJPTtameHpIFwDAp7/HSxwNERGRZu7kFGPnmSQAwDLfnhx5hAxCs3puk7wEBQUhKCgIFRVsmCKixunVzhpO1qZIzytBdFIW70AnIiKDZaQQ8Gj/Dvgy7AZ+OZcK3wfaSR0SkcEwMzNTL5eWljZYvqp3tLm5eYvF1BTLly/Hyy+/rP5/bm4uG7iJCACwaHR3fP1HEs5cv4fopHsY7OIgdUikpz777DO0bdu2xt/T0v6e0/2tt96qc/v7yxER1ScoJAEl5Sp4dbXHaDf+5kuGQWuN2xUVFdi7dy+OHj2Kixcv4t69ewAABwcH9OnTBxMmTMDUqVNhZMRh/1pKQEAAAgICkJubC1tbW6nDISI9IggCvN3a4Kezt3AiLp2N2waOOZuIWrvHBnTEl2E3cDT2LvKKy2BtZix1SEQ16GO+tra2Vi9rMtR4QUEBAM2GMNclU1NTmJqa8gZyIqqhg505Hh/YCd9GpeC/vydg29whUodEeurzzz+vc11Vr8o333xTV+EQkYFKuVeIPZHJANhrmwyLVhq3Dx8+jEWLFuHWrVvqv4miCKAyGZ8+fRqbN29Gp06dsHnzZjz00EPaqJaIiLRojLsTfjp7C6Fx6Vg+sbfU4VALYc4mIgIe6GCD7k6WuJ5egCOX7uKJwZ2kDomoGn3N12ZmZnB0dERmZiZu3rxZb9msrCx147Zce0XzBnIiqs3zY3vg++gUhFxNx8VbOejTkecHapyqnE5E1NI+/T0eZRUiRrm2wbDujlKHQ6Q1zW7c3rlzJ+bOnauetwoAunbtinbtKof3u3PnDpKSkiCKIlJSUjBp0iRs374ds2bNam7VRESkRaP+6q195U4e0nKL0dbGrIEtSN8wZxMRVRIEAVMHdMSG3+Lwy5+pbNwmWdH3fO3h4YGwsDAkJCSgvLwcSmXtPztcuXJFvdy7N2+sJCL90bWNJab074BfzqUiKCQBn88eLHVIpEdCQkKkDoGIWonr6fn48WzlzbIv+7pLHA2RdjWrcTspKQmLFi2CSqWCpaUlli9fjgULFtSYLyQ9PR1btmzB2rVrkZ+fj4ULF8Lb2xtdunRpVvBERKQ9jlam6NPRBhdv5SIsPoM/9BsY5mx54TCnRNJ7tH8HbPgtDifj05GeVwIna1OpQyIyiHw9atQohIWFoaCgANHR0Rg6dGit5UJDQ9XLI0eO1FV4jcJ8TUR1eWGsK345l4rDl+4gIS0Prm2tG96ICMCYMWOkDoGIWomNx+JRoRIxvldbDOpiL3U4RFqlaM7GGzduRElJCaysrBAWFoYVK1bU+NINAE5OTli+fDnCwsJgZWWFkpISbNy4sTlVExFRCxjt5gQACItPlzgS0jbmbHkJCAjA5cuXERkZKXUoRK1W1zaW6N/ZDioROHg+VepwiAAYRr6eOnWqennbtm21llGpVNixYwcAwM7ODj4+ProIrdGYr4moLj3bWeOhB5whisBnIdekDoeIiKiaq3fysO/Pyu+5Lz3IXttkeJrVuH3kyBEIgoBXX30VAwYMaLB8//798corr0AURfzvf/9rTtVERNQCvNWN2xlQqTgHlCFhziYiqmnqgA4AgF/+ZOM2yYMh5OshQ4bA29sbALB161aEh4fXKLN+/XrExsYCAJYuXQpjY2OdxkhEpA1LfNwAVF5HJGcWShwNUesWFBQEDw8PeHl5SR0KkSx89FscRBGY2Lcd+nS0lTocIq1rVuN2cnIyAGDChAkab/Pggw9W25aIiORjsIs9LE2MkFlQisu3c6UOh7SIOZuIqKZJ/dpDIQAxydlIyiyQOhwiWeTrkydPIjg4WP344Ycf1OsSEhKqrQsODq51Hxs3boS5uTnKy8vh6+uLtWvX4syZMwgJCcHixYsRGBgIAHB3d8eyZcu0EjcRka717WSL0e5OqFCJ+DyUvbeJpMTRVoj+duFmDg5fugNBAF6awF7bZJiaNed21bxTRkZGmleorKxSpVI1p2oiImoBJkoFhvdwxNHYNJyIT+edfQaEOZuIqKa21mYY6doGYfEZ2HcuFS+Od5M6JGrl5JCvt2zZgu3bt9e67tSpUzh16lS1v/n7+9coN3DgQHz77beYPXs2cnNzsWLFihpl3N3dcfDgQVhby3eeWs65TUQNWeLjihNx6fgx+ib+b7wr2tuaSx0SERG1cht+uwoAmDqgI9yc5XutTdQczeq53bFjRwDA6dOnNd6mqmyHDh2aUzUREbWQqqHJT8Rx3m1DwpxNRFS7R/tXnuP2nrsFUeSUHCQtQ8rXU6ZMwfnz5/HSSy/B3d0dFhYWsLOzg6enJ9atW4eYmBi4urpKHWa92AuMiBoypJsDhnRzQGmFCptPXJc6HCIiauWik+4h5Go6jBQClvLmbTJgzWrc9vHxgSiKeO+995Ca2vA8dampqXjvvfcgCALGjRvXnKqpFpxbhIi0YbR7ZeN2dFIWCkrKJY6GtIU5m4iodg/3aQcTpQLX0gtwKZVTcpC05JCvg4ODIYqixo/6uLi4YMOGDbh69SoKCgqQlZWFyMhIBAYGwsLCQivxEhFJbYlP5Y0630QkIyO/ROJoiIioNfvwf3EAgCcHd0LXNpYSR0PUcprVuP3iiy9CoVAgPT0dQ4cOxQ8//FDrcF0qlQo//PADhg8fjrt370KhUGDJkiXNqZpqwbvKiUgbujpaoLODOcoqRJy5nil1OKQlzNlERLWzNjPGhN5tAQD7/my4MZGoJTFfExHpH2+3NujXyRbFZSp8dfKG1OEQEVErdTohA+HXM2FipOCUW2TwmjXndp8+ffD222/j9ddfR2pqKmbOnAk7OzsMGjQIbdu2hSAIuHv3Ls6ePYvs7Gz1Xd1vv/02+vTpo5UnQERE2iUIArzdnLD7j2SciEvH+N7OUodEWsCcTURUt0f7d8SvF+5g37lUvPZwLygUgtQhUSvFfC0vnHObiDQhCAKW+Lhi0c5o7AhPwuLRPWBrYSx1WERE1IqIoogPj1TOtf3M0C7oaGcucURELatZjdsAsHz5ctja2iIwMBCFhYXIysrC77//Xq1M1RduCwsLfPDBB3j++eebWy0REbWg0X81bofFZ0gdCmkRczYRUe18ejnB2kyJO7nF+OPGPQzv4Sh1SNSKMV/LR0BAAAICApCbmwtbW1upwyEiGZvQ2xk9na1x9W4etocn4v/YY46IiHTo+NV0nE3OhpmxAi+M7SF1OEQtrlnDkld54YUXkJiYiHXr1uHBBx9Eu3btYGJiAhMTE7Rr1w4PPvgg1q1bh8TERH7pJiLSAyNcHWGkEHA9owAp9wqlDoe0iDmbiKgmU6URJvZpDwDY9+ctiaMhYr4mItI3CoWAF3wqGxO+OnUDBSXlEkdEREStxf29tv2Gd0VbGzOJIyJqeYJYdcs3Saa4uBgrVqxAVFQUEhIScO/ePdjZ2aFHjx5YsGABZs+eDWNjzYczqrqrPCcnBzY2Ni0YOREZsumfn0ZUUhbWTOuDWUNdpA5H7/BcTJrgcUIkH6cTMvDMlj9ga26MiNfHw1RpJHVIpAM8D5MmeJwQkSYqVCImbAjFjYwCrJjYC4tGs+ecNvFcTJrgcUKt0eGLt/HcrrOwNDFC2L/HwcHSROqQqBXT1XlYKz23qXny8/Px+eefQxAETJo0CS+//DKmTZuGW7duYd68eZg8eTJUKpXUYRJRKzPa3QkAEBbHocmJtC0oKAgeHh7w8vKSOhQi+svQ7o5wtjFFTlEZTjD3ERGYr4mocYwUAp4fU9mg/WXYDRSXVUgcEZH+iIyMxMSJE2FnZwdLS0sMGzYM3333ndRhEclehUrEht/iAADzR3Vjwza1Gs1q3O7WrRt69OiBhIQEjbdJTk5G9+7d0aMH716s4uDggJycHISGhuLLL7/Eu+++i88//xwJCQkYO3Ysjhw5gkOHDkkdJhG1Mt5ubQAAp65loLyCN9joO+ZseQkICMDly5cRGRkpdShE9BcjhYAp/ToAAPae49DkJA3ma3lhviaixpo6sCM62JohPa8E30elSB0OkV4ICQnByJEjcfLkScyYMQPPPfcc7ty5g5kzZ2L9+vVSh0ckawfOpyLubj5szJSY791d6nCIdKZZjdtJSUlITExEaWmpxtuUlZUhMTERiYmJzanaoCgUCpiY1LyjRqlUYtq0aQDQqB83iIi0oV8nO9iaGyOvuBx/3syWOhxqJuZsIqKGPTagIwDg6OW7yOdcmSQB5msiIv1molTgubGVNxt9EXodZbxRnKhe5eXlWLhwIRQKBU6cOIHNmzdj/fr1+PPPP+Hu7o4VK1YgKSlJ6jCJZKm8QoWP/uq1vXhMD9iaaz61LZG+0/thydPS0nDgwAGsXLkSjzzyCNq0aQNBECAIAvz9/Ru1r6SkJCxbtgy9evWCpaUlHBwc4OXlhQ8++ACFhYUt8wTqoVKpcPjwYQBAnz59dF4/EbVuRgoBo1wre2+HcnhWIiJqBfp0tEF3J0uUlKvwv4t3pA6HiIiI9NAMz85oY2WKW9lF+DmGo8EQ1ef333/HtWvX8Mwzz2DAgAHqv9va2mLFihUoLS3F9u3bpQuQSMZ+OnsLiZmFcLA0gf+IrlKHQ6RTSl1XmJOTAwCwsLDQyv6cnZ21sp/9+/dj9uzZyM3NVf+tsLAQUVFRiIqKwpYtW3Dw4EG4urpqpb7alJaW4t1334UoisjMzMSxY8dw5coVzJ07F+PHj2+xeomI6jLavQ0OXriNE3HpePlBd6nDIR3Tds4mIpI7QRDwWP+O+OhoHNYdvgKvrg7o4shzIMkb8zURkbyYGRthoXc3rD10BZ8fv4YnBnWCkUKQOiyiGtLS0hAREYGIiAhERkYiMjISmZmZAAA/Pz8EBwdrvK+kpCR88sknOHjwIFJSUmBqaooePXpgxowZCAgIqPM65fjx4wAAX1/fGuseeughAEBoaGjjnhhRK1BSXoGNx+IBAC+M7QFLU5039RFJSudH/K5duwAALi4uWt93ly5d0KtXLxw5cqRR28XExGDmzJkoKiqClZUVli9fDh8fHxQVFWHPnj348ssvERcXh0mTJiEqKgrW1tZajx2obNx+88031f8XBAGvvPIK1q5d2yL1ERE1xNvNCQBw/mY2sgtLYWdRcwoFMlwtmbOJiOTKf2RX/HrhNq7ezcMzW87gh+dGoJ2tmdRhEdWJ+ZqISH5mDXPB56HXcCOjAAcv3Maj/TtIHRJRDXLoNBYfX9k45+bmVmNdu3btYGVlpS5DRH/7LjIFt7KL0NbaFLOH8XsAtT6NatweN25crX+fO3cuLC0t6922pKQE169fR1paGgRBqPVurKZYuXIlvLy84OXlBWdnZyQmJqJbt26N2sfSpUtRVFQEpVKJI0eOYPjw4ep148aNg5ubGwIDAxEXF4f169dj9erVNfaxbNkylJSUNKrOfyZtKysriKIIlUqF1NRU7N+/HytWrEB4eDh+/fVX2NjYNOp5ERE1Vwc7c7i2tUJCWj5OJWRiUr/2UodEGpJjziYi0ge25sbYOX8IntwUjqTMQsze+ge+XTQMjlamUodGBoj5Wt6CgoIQFBSEiooKqUMhIj1jZarE3BHd8NHROHwWkoDJfdtDwd7bJGNSdRqrGoHG1ta21v3b2NioyxBRpeKyCnz6ewIA4MVxrjAzNpI4IiLdE0RRFDUtrFAoIAgCGrFJrbp3747w8HA4OTk1az+1ub9xW5PhUyIiIjB06FAAwOLFi/HFF1/UKKNSqdCnTx/ExsbCzs4OaWlpMDY2rlbGysoKBQUFGscZEhKCsWPHNlju+++/x4wZMxAYGIh169ZptO/c3FzY2toiJyeHDeJE1Gxv7b+Mr07dwEzPzlg3vZ/U4egNqc/F+pCzDcG6devw2muvAQDCw8MxbNiwRm0v9XFCRHVLuVeIGZvCcTunGH062mD3wmGwMTNueEPSK1Kfh5mv9YPUxwkR6aecwjKMXPc78kvK8eUcTzzooZ1esq0Vz8Xat2rVqjo7jWk6LPno0aMRFhYGpVKJEydOVOs0BgAffPABAgMD1fX9s9OYr68vfvvtN8THx9fas7tjx47Iz8/XuIGbxwm1BlvCruOdg7HoaGeOkFfGwkSpkDokIjVdnYcb1XN79OjREIS/7zIMDQ2FIAgYPHhwvXeVC4IAMzMztG/fHiNGjMBTTz3V4F3ourJ371718ty5c2sto1AoMGfOHCxfvhzZ2dkICQmpcVd8fn5+i8RXVU/V/CNERLo22r0Nvjp1A2Hx6RBFsVoeIPkyxJwtNxcvXsSqVatgaWnZqBvciEg/dHawwM75QzFzUzgu3srF/OBI7Jg3FOYmvCuetIf5mojIcNlaGOPZ4S74/Pg1/Pf3eEzo3Zbfp0lW7p8esykiIiIQFhYGAJg/f36Nhm2gcrTTbdu2ITY2Fhs3bsTrr79erdNYVY/tuhqvc3NzYW9v36w4iQxJQUk5Pjt+DQCwdIIbG7ap1WpU4/Y/G1gVisoPTnBwMDw8PLQWlC6dPHkSAGBpaYnBgwfXWW7MmDHq5VOnTulsyLfU1FQAqNFTnIhIV4Z2c4SJUoHUnGJcS8+Ha1vrhjciyRlizpaTsrIy+Pn5YcCAAXBzc1PPd0pEhsW1rRW2zxuCp788g8jELDy3KxpfzvHkDwikNczXRESGbf6obth26gb+vJmDkwkZ8HbjCBtkOLTRaaxq2s74+Pgav83fuXMH+fn5GDJkiPaDJ9JTwacTca+gFN3aWOLxgR2lDodIMs36VWbOnDmYM2eOXt89FRsbCwBwdXWFUll3W3+vXr1qbKMtly9fRmFhYY2/FxYW4uWXXwYATJw4Uat1EhFpytzECEO6OgAATsRlSBwNNZUh5Gw5WbNmDS5duoSvvvoKRkbsxUlkyPp0tMU2fy+YGxshNC4d//o2BhWq5g0hTVQX5msiIsPSxsoUT3l1AQD896/5UYkMRVM7jdW2rra5vv/3v//V2J6oNcspKsOm0Mpe2/+a4AalEW+6ptarUT23/0mTeTfkrLi4GBkZlQ01nTp1qresvb29etjRlJQUrcbx3XffYcOGDRg1ahS6du0KGxsb3Lp1C4cOHUJmZia8vb3x0ksv1bl9SUkJSkpK1P/Pzc3VanxERN5ubXAyIQMn4tMxb1Q3qcOhJpA6Z6elpSEiIgIRERGIjIxEZGQkMjMzAWg+l1eVpKQkfPLJJzh48CBSUlJgamqKHj16YMaMGQgICICFhUULPYtKZ8+exZo1a/DWW2+xVx1RK+HZ1QGbnh2M+dsj8euFO7AyPY/3Hu8HhYJDi5J2SZ2viYhI+xaP6Y6v/0jCHzfuITLxHrz+unmcSN9po9PY+PHj0b17d+zevRv/93//hwEDBgCoHKb83XffhYmJCebMmaP94In00Naw68gtLkdPZ2tM6ddB6nCIJNWsxm1NZGZmQhAEODjI78ItLy9PvWxlZdVg+arGbW3Prz158mSkpqbi9OnTCA8PR35+PmxtbdGvXz889dRTmDdvXr0XCGvXrm32HClERPUZ7e6EtYeu4Mz1TBSXVcDMmD1VDVFL5mxnZ2et7Gf//v2YPXt2tRu5CgsLERUVhaioKGzZsgUHDx6Eq6urVur7p5KSEsyZMwcDBgxAYGBgi9RBRPI02t0Jnzw1EAG7z+K7qJuwMjXGG5N7c+5M0jk5f8cmIqKa2tuaY/rgTvgmIgX//T0B2+dxiGXSf9rqNKZUKrFlyxY89NBDGD16NJ566ilYW1vjxx9/RFJSEj788EN07dq1zn2z0xe1FvcKSrH15A0AwEsPuvNGa2r1WmTcgrt372LRokVo06YN2rZtCycnJ9jb28Pf3x/JycktUWWTFBcXq5dNTEwaLG9qagoAKCoq0mocnp6e2Lx5My5evIisrCyUlZUhIyMDv//+OxYtWlRvwzYALF++HDk5OeqHtnuWExH1amcNJ2tTFJepEJ2UJXU4pEVS5OwuXbpUm2NLUzExMZg5cyZyc3NhZWWFNWvW4PTp0zh27BgWLlwIAIiLi8OkSZOq3cCmTStXrkR8fDy2bdvG4ciJWqFH+rbH+9P7AwC+OnUDHx+Nlzgiai305Ts2ERHV7rkxPaAQgNC4dFy4mSN1OETN1pROYwBq7TTm4+ODkydPYuTIkfj222/x+eefw9nZGXv27MGyZcvq3e/atWtha2urfnTu3LmRz4RIP3wReg0FpRXo09EGDz2gnQ4kRPpM457bN2/exJAhlXcWvvHGG3j++edrLXf9+nWMHj0at2/fhij+PRddTk4Odu7cif379+PYsWPqIUakZGZmpl4uLS1tsHzVXWDm5uYtFlNTmJqawtTUFEFBQQgKCkJFRYXUIRGRgREEAd5ubfDT2Vs4EZeOka5tpA6J6iHHnL1y5Up4eXnBy8sLzs7OSExMRLdujRvifunSpSgqKoJSqcSRI0cwfPhw9bpx48bBzc0NgYGBiIuLw/r167F69eoa+1i2bFm1u7o1qdPNzQ0AEB4ejg8//BCrV69Gnz59GhU7ERmO6YM7Ib+4DKv3X8bGY/GwNlNigXd3qcMiPSTHfE3V8Ts2EWmLi6MlHhvQET/H3EJQSAK+eLbu+YmJ9IG2O40NGTIEhw4danQcy5cvx8svv6z+f25uLhu4yeCk5RZj++lEAMAy354cPYwIjWjcPnz4MO7cuQMTExPMmDGjznJPPfUUUlNT1f/v3LkzOnTogMuXLyMvLw9ZWVl4+umnceHChQZ7JLc0a2tr9bImQ40XFBQA0OxuNCkEBAQgICAAubm5sLW1lTocIjIwY9ydKhu34zOwXOpgqF5yzNnNnT4jIiICYWFhAID58+dXa9iusmzZMmzbtg2xsbHYuHEjXn/9dRgbG1crs2nTJnU+18T06dPh5uaG8vJy+Pn5oV+/fnjttdea9VyISP/5j+yGvOJyrP8tDu8cjIW1mRIzvbpIHRbpGTnma6qO37GJSJteGNsDP8fcwuFLdxB3Nw/uztYNb0QkU3LpNFbV6YvIkAWFJKCkXIXBLvYY6+4kdThEsqDxsOTh4eEAKocJcXR0rLXMgQMHEBUVpZ7/6/Dhw0hKSkJ4eDju3LmDuXPnAqgcMvTHH3/UQvjNY2Zmpn4uN2/erLdsVlaW+sdw3v1FRK1RVW/t2Nu5SMsrbqA0SckQc/bevXvVy1Wx/ZNCocCcOXMAANnZ2QgJCalRJj8/H6IoavwYO3aserv4+HicO3cOJiYmEARB/di+fTsAYPjw4RAEoVqsRGS4loxzxaLRlT22X/vpAg6cT21gC6LqDDFfExFR3dycrfHwA+0AAJ+FJEgcDVHzGFqnMSK5uplViN0RldMQLfN1Z69tor9o3Lh94cIFCIKABx98sM4yX3/9tXp5/fr11ebTNDc3x5YtW9C3b18AwC+//NKUeLXOw8MDAJCQkIDy8vI6y125ckW93Lt37xaPqymCgoLg4eEBLy8vqUMhIgPUxsoUfTraAADC4jIkjobqY4g5++TJkwAq5+kaPLjuIfzGjBmjXj516pTW6jc1NcX8+fNrfVQNW/7oo49i/vz56Nq1q9bqJSL5EgQByx/phaeHdIEoAv/acw4hV9KkDov0iCHmayIiqt+Sca4AgH1/piIpU/MRpYjkRm6dxvi7OBmq//6egLIKESN6OGJED04TSVRF48btxMREAED//v3rLHP8+HEAgK2tLZ555pka6wVBwLx58yCKIv7888/GRdpCRo0aBaDy7rHo6Og6y4WGhqqXR44c2eJxNUVAQAAuX76MyMhIqUMhIgM12q1y6Juw+HSJI6H6GGLOjo2NBQC4urrWO+Rqr169amyjDVUNCLU9RowYAaByrq8tW7ZwzlOiVkQQBLwztQ+m9O+AcpWI53ZF48z1TKnDIj1hiPmaiIjq16ejLcb2dIJKBD4/fk3qcIiaRU6dxvi7OBmixIwCfB9defPIMl93iaMhkheNG7dzc3MBAG3a1H53SGJiIu7evQtBEDB69Ogac1xWGThwIABUmzNMSlOnTlUvb9u2rdYyKpUKO3bsAADY2dnBx8dHF6EREcmOt7pxOwMqlShxNFQXQ8vZxcXFyMioHC2gU6dO9Za1t7eHpaUlACAlJaXFY2uskpIS5ObmVnsQkX4zUgjYMKM/xvdqi5JyFRZsj8L5m9lSh0V6wNDyNRERaWaJT2Xv7R/P3kRqdpHE0RA1nSF1GiOSo43H4lGhEuHT0wmDXRykDodIVjRu3K4ay7+0tLTW9REREeplT0/POvdjZ2cH4O95NqQ2ZMgQeHt7AwC2bt2qnvfsfuvXr1f3/lq6dGmdPyoQERm6wS72sDAxQmZBKS7fZqOcXBlazs7Ly1MvazI/V1Xjtibzfuna2rVrYWtrq3601JBsRKRbxkYKBM0ahOHdHZFfUo45X0Ug7m5ewxtSq2Zo+ZqIiDTj2dUBw7o7oKxCxOYT16UOh6jJ2GmMqOXE383D3nO3AADLfHtKHA2R/GjcuF01h0ZcXFyt60+fPq1erm9ui6ofqM3MzDStul4nT55EcHCw+vHDDz+o1yUkJFRbFxwcXOs+Nm7cCHNzc5SXl8PX1xdr167FmTNnEBISgsWLFyMwMBAA4O7ujmXLlmkl7pbAuUWIqKWZKBUY3r0yH5zg0OSyJdec3VTFxcXqZRMTkwbLm5qaAgCKinTTCyI4OBiiKGLYsGENll2+fDlycnLUDzn2LieipjEzNsKXfp7o39kO2YVlmL3lDyRnFkodFsmYoeVrIiLS3BIfNwDANxHJSM8rkTgaoqaRU6cx/i5Ohuajo3EQReCRPu3Qp6Ot1OEQyU7dk1b+Q//+/XH79m38+OOPmDVrVrV1oihi3759lTtUKusdXiQpKQkA4Ozs3JR4a9iyZQu2b99e67pTp07h1KlT1f7m7+9fo9zAgQPx7bffYvbs2cjNzcWKFStqlHF3d8fBgwdhbW2tlbhbQkBAAAICApCbmwtbW57wiKhljHZ3wrEraTgRl44XxrpKHQ7VQq45u6nu/7G+rt5t9yspqfxxyNzcvMViaipTU1N14zsRGR4rUyW2z/XCzE1ncPVuHp7ZcgY/PDcC7WzZ6Eg1GVq+JiIizY10dUT/znb4MyUbW0/ewGuP9JI6JGqFTp48iYSEBPX/q6YDA/7uNHa/2n5X37hxI0aOHImioiL4+vpixYoV8PHxQVFREfbs2YPNmzcDaPlOY/xdnAzJxVs5+PXCHQgC8NKDnGubqDYa99x+9NFHIYoifvnlF+zcubPaug8//BCJiYkQBAETJkyod8jQqju4evaU11AKU6ZMwfnz5/HSSy/B3d0dFhYWsLOzg6enJ9atW4eYmBi4urIRh4hotHvlvNvRSVkoKCmXOBqqjaHl7PtvLNNkqPGqYVk1GcKciEjb7CxMsHP+ELg4WuBmVhFmb/0D9woavjGHWh9Dy9dERKQ5QRDw4l9zb+8MT0R2Ia8VSPe2bNmCuXPnqh+vvvqqet2pU6eqrZs7d26t+6jqNGZjY4P8/HysWLECw4cPx7hx46o1bMu90xiRnHz0W+XITo/17wB3Z35uiGqjceP2s88+q54X0t/fH0OHDsWsWbMwaNAgvPbaa+pyL7/8cp37EEURe/fuhSAIGg3dqYmqoUA1fdTHxcUFGzZswNWrV1FQUICsrCxERkYiMDAQFhYWWomXiEjfdXW0QCd7c5RViDhzPVPqcKgWcs3ZTWVmZqYeuvXmzZv1ls3KylI3bst5PmsOmUZk2NramGHX/KFoZ2OGhLR8+H0VgdziMqnDIpkxtHxtiJiviaglje/dFr3aWaOgtALBpxOlDoeoydhpjEh7ziZn4diVNBgpBCydwF7bRHXRuHHbwsICe/bsgZWVFURRRFRUFPbs2YM///xT3Wg8b948jB8/vs59/Prrr7h16xYAYMKECc0Mnf6JX7yJSBcEQVD33j4Rx3m35cgQc7aHhweAyqHRysvrHjHgypUr6uXevXu3eFxNFRAQgMuXLyMyMlLqUIiohXR2sMCuBUPhYGmCC7dysCA4CkWlFVKHRTJiiPna0DBfE1FLEgQBAX/13t52KhH5HBmNdMyQOo3xd3EyBOUVKrx/uPJ3remDOqFbG0uJIyKSL40btwFg+PDhiIqKwhNPPAEzMzN1YnNxccGHH36oHmqkLm+//TYAoF27dryrvAXwizcR6cpot8rG7bD4jAZKklQMLWePGjUKQOWQ49HR0XWWCw0NVS/XNz8pEZEuuLa1wo55Q2BtqkRE4j08tysapeUqqcMiGTG0fE1ERI0zsW97dG9jiZyiMnx9JknqcIj0Fn8XJ32XmV+C2Vv/wJnr92BipMCL4znaAVF9lI3dwM3NDd9//z1UKhXS09NhYmICe3t7jbY9duxYZaXKRldLREQyMsLVEUYKAdczCpByrxCdHTh1gxwZUs6eOnUq1q5dCwDYtm0bhg4dWqOMSqXCjh07AAB2dnbw8fHRaYyNERQUhKCgIFRUsBcnkaHr09EWX831wrNb/0BoXDpe+vYcPnl6IIwUgtShkUwYUr4mIqLGMVIIeH5sD7z6w3l8GXYDfiO6wszYSOqwiIhIhy7czMHinVFIzSmGpYkRPpo5AJ3s+VsrUX0a1XO72oYKBZydnTX+0g0AlpaWsLS0hKmpaVOrJSIiGbAxM8bAznYA2HtbHxhCzh4yZAi8vb0BAFu3bkV4eHiNMuvXr0dsbCwAYOnSpTA2NtZpjI3Bu8qJWhevrg7Y9KwnjI0EHLxwG8t/Og+Vqv6hHan1MYR8TUREjTd1YEd0tDNHRn4Jvo1MkTocIiLSoR+jb+KJL04jNacY3dtYYm/ASPg+0E7qsIhkj7d3GxD2AiMiXfJ2c0JUUhZOxKXjmaFdpA6HZO7kyZNISEhQ/z8j4++bIhISEhAcHFytvL+/f419bNy4ESNHjkRRURF8fX2xYsUK+Pj4oKioCHv27FEP3eru7o5ly5a1yPMgImqqMe5O+OSpgQjYfRbfRd2Elakx3pjcG4LAHtxE2lZcXIwVK1YgKioKCQkJuHfvHuzs7NCjRw8sWLAAs2fPlvVNcETUuhgbKfDc2B54Y+9FbAq9hqeHdIGJssn9kYiISA+UVaiw5mAsgk8nAgDG92qLj54aABszXqMSaUIQRZFdBgxMbm4ubG1tkZOTAxsbG6nDISIDFZOchWmfnYa1mRIxbzwIpRG/fN+P5+Lq/P39sX37do3L13V5sn//fsyePRu5ubm1rnd3d8fBgwfh6qofcxPxOCFqfX6IvolXvv8TALB0vBteetBd4ohaN56HDVNGRgY6d+6MIUOGwN3dHU5OTsjKysKhQ4eQlJQEX19fHDp0CAqFZtevPE6IqKUVl1Vg9PshSMsrwbon+mKmF28g/yeei6k+93f6iouL43FCspaeV4KA3WcRceMegMrvhUvHu0HBqavIAOgqX7PnNhERNUm/TnawNTdGTlEZ/ryZjcEuDlKHRK3AlClTcP78eWzcuBEHDx7EzZs3YWJiAldXVzz55JNYsmQJLCzkPy8RR1shar2mD+6E/OIyrN5/GRuPxcPaTIkF3t2lDovIoDg4OCAnJwcmJibV/l5eXo4HH3wQR44cwaFDhzBp0iSJIiQiqs7M2AgLvbtjza+x+Pz4NTwxqBNvICdqhICAAAQEBKgbVYjk6s+UbDy3Kxq3c4phZarERzMH4EEPZ6nDItI7vEoiIqImMVIIGOXaBgAQGsd5t6l+wcHBEEVR40d9XFxcsGHDBly9ehUFBQXIyspCZGQkAgMD9aJhG+Cc20Stnf/Iblj2V4/tdw7G4tvIZIkjIjIsCoWiRsM2ACiVSkybNg0Aqk2XQkQkB88M7QJ7C2MkZhbi4IXbUodDRERa9l1UCp7cFI7bOcXo4VQ5vzYbtomaho3bRETUZKPdKxu3T8SlSxwJERGRflkyzhWLRlf22H7tpws4cD5V4oiIKqWlpeHAgQNYuXIlHnnkEbRp0waCIEAQBPj7+zdqX0lJSVi2bBl69eoFS0tLODg4wMvLCx988AEKCwtb5gnUQ6VS4fDhwwCAPn366Lx+IqL6WJoqMW9kNwBAUEgCVCrOJElEZAhKy1V4Y+9FBP5wHqXlKjzo4Yy9ASPh2tZK6tCI9BaHJScioibzdnMCAJy/mY3swlLYWdTsIUNEREQ1CYKA5Y/0Ql5xGb6JSMG/9pyDpYkSPr3aSh0atXLOztrpPbJ//37Mnj0bubm56r8VFhYiKioKUVFR2LJlCw4ePAhXV1et1Feb0tJSvPvuuxBFEZmZmTh27BiuXLmCuXPnYvz48S1WLxFRU80Z0RWbT1xH3N18/BZ7Fw890E7qkIiIqBnS8orxwq6ziErKgiAAL01wxxIfV86vTdRM7LltQIKCguDh4QEvLy+pQyGiVqKDnTlc21pBJQKnEjKlDoeIiEivCIKAd6b2xeR+7VGuEvHcrmicuc58SvLRpUsX+Pr6Nnq7mJgYzJw5E7m5ubCyssKaNWtw+vRpHDt2DAsXLgQAxMXFYdKkScjLy9N22GqlpaV488038dZbbyEoKAhXr17FK6+8gs2bN7dYnUREzWFrbow5I1wAVPbebmjKJiIikq+zyVmY8ulJRCVlwdpUiS1zPPF/493YsE2kBey5bUACAgIQEBCA3Nxc2NraSh0OEbUSo92ckJCWj7D4dEzq117qcIj0QlBQEIKCglBRUSF1KEQkMSOFgI9mDkBhaQV+v5KGBdujsHvhUPTrZCd1aNRKrVy5El5eXvDy8oKzszMSExPRrVu3Ru1j6dKlKCoqglKpxJEjRzB8+HD1unHjxsHNzQ2BgYGIi4vD+vXrsXr16hr7WLZsGUpKShpVp5ubW7W/WVlZQRRFqFQqpKamYv/+/VixYgXCw8Px66+/wsbGplHPi4hIF+aN7IavTibi/M0cnIjPwBh3J6lDIpI9fscmudkTkYyVv1xCaYUKbm2tsOnZwejuxGHIibRFEHkLoMGpatzOycnhl3UianEhV9Mwd1skOtia4dRr4yAIvPsQ4LmYNMPjhIiqFJdVwH9bBM5cvwc7C2N8t3g43J2tpQ7L4PE83LD7G7f9/PwQHBxcb/mIiAgMHToUALB48WJ88cUXNcqoVCr06dMHsbGxsLOzQ1paGoyNjauVsbKyQkFBgcZxhoSEYOzYsQ2W+/777zFjxgwEBgZi3bp1Gu2bxwkR6dpb+y/jq1M3MKSrA757bnjDG7QCPBeTJnickNRKyivw5v7L2P1HMgDg4Qfa4cMZ/WFlyn6m1Dro6jzMYcmJiKhZhnVzhImRAqk5xbiWni91OERERHrJzNgIW/y80L+TLbILyzB7yx9IziyUOiyiRtu7d696ee7cubWWUSgUmDNnDgAgOzsbISEhNcrk5+dDFEWNH5o0bANQD7N+/PjxRj0vIiJdWjS6O0yMFIhIvIc/OGUJEZFeuJtbjKc3n8HuP5IhCMCrD/XE57MHsWGbqAWwcZuIiJrF3MQIXt3sAQAn4jIkjoaIiEh/WZkqETx3CHo6WyMtrwSztp7BnZxiqcMiapSTJ08CACwtLTF48OA6y40ZM0a9fOrUqRaPq0pqaioA1OgpTkQkJ+1szTDdsxMA4L8hCRJHQ0REDYlOuofJn57E2eRs2Jgp8ZW/FwJ8XDnCJVELYeM2ERE122i3yjnATsSnSxwJERGRfrO3NMHO+UPg4miBlHtFmL31D9wrKJU6LCKNxcbGAgBcXV2hVNbdS6VXr141ttGWy5cvo7Cw5sgHhYWFePnllwEAEydO1GqdRETa9vyYHjBSCAiLz8CfKdlSh0NERLUQRRFf/5GEpzafQXpeCXo6W2PfklHw6dlW6tCIDBobt4mIqNlGu1c2bp+5nomS8gqJoyGSv6CgIHh4eMDLy0vqUIhIhtramGHX/KFoZ2OGhLR8+H0VgdziMqnDImpQcXExMjIqR/Lp1KlTvWXt7e1haWkJAEhJSdFqHN999x3atWuHiRMn4oUXXsBrr72GZ599Fl26dMHhw4fh7e2Nl156qc7tS0pKkJubW+1BRKRrnR0s8NiADgCAIPbeJiKSnZLyCiz/6QJe//kiyipETOrbHj+9MAJd21hKHRqRwWPjtgHhD+VEJJVe7azhZG2K4jIVohKzpA6HSPYCAgJw+fJlREZGSh0KEclUZwcL7FowFA6WJrhwKwcLgqNQVMobyEje8vLy1MtWVlYNlq9q3M7Pz9dqHJMnT8ZTTz2F5ORkfPPNN1i/fj0OHTqEfv36YdOmTfj9999hbm5e5/Zr166Fra2t+tG5c2etxkdEpKkXxrpCEIAjl+/i6p28hjcgIiKduJNTjJmbzmBPZAoUAvDaI73w32cGwpLzaxPpBBu3DQh/KCciqQiCAG+3NgCAE3EcmpyIiEgbXNtaYce8IbA2VSIi8R6e2xWN0nKV1GER1am4+O854k1MTBosb2pqCgAoKirSahyenp7YvHkzLl68iKysLJSVlSEjIwO///47Fi1aVO9w6QCwfPly5OTkqB/a7llORKQp17ZWeKRPOwDsvU1UH3b6Il2KuFE5v/a5lGzYmhsjeO4QPDemB+fXJtIhNm4TEZFWjHGvmnc7Q+JIiIiIDEefjrb4aq4XzIwVCI1Lx0vfnkOFSpQ6LKJamZmZqZdLSxueK76kpAQA6u1FLQVTU1PY2NhUexARSSXAxxUAcOB8KhIzCiSOhkie2OmLdEEURewIT8QzX55BRn4JerWzxv4lo9TTNRKR7rBxm4iItGKka2XP7djbuUjLK26gNBEREWnKq6sDNj3rCWMjAQcv3Mbyn85DxQZukiFra2v1siZDjRcUVDbSaDKEuRTYC4yI5OCBDrYY16stVCLw+fFrUodDRNQqFZdV4NUfzmPlL5dQrhIxpX8H/PTCCHRxtJA6NKJWiY3bRESkFW2sTNGnY2WvlrA49t4mIiLSpjHuTvjkqYFQCMB3UTfxzsFYiCIbuElezMzM4OjoCAC4efNmvWWzsrLUjdtyndOavcCISC6qem//ePYmbmVrdyoHIiKqX2p2EWZsCscP0TehEIDXJ/bGJ08NgIUJ59cmkgobt4mISGu83SqH4QmL57zbRERE2vZI3/ZY90Q/AMBXp27g46PxEkdEVJOHhwcAICEhAeXl5XWWu3Llinq5d+/eLR4XEZE+G+xijxE9HFGuErE5lL23iYh0JfxaJqZ8ehLnb+bA3sIYO+YNxcLR3Tm/NpHE2LhNRERaM1rduJ3B4VKJ6sFhTomoqZ707IxVUyobDzcei8eWsOsSR0RU3ahRowBUDjkeHR1dZ7nQ0FD18siRI1s8rqZgviYiOVnyV+/tPZEpnAqMiKiFiaKIr07ewOytfyCzoBQe7W2wb8kojHJrI3VoRAQ2bhMRkRYNdrGHhYkRMgtKcfl2rtThEMkWhzklouaYO7IbXn7QHQDwzsFYfBuZLHFERH+bOnWqennbtm21llGpVNixYwcAwM7ODj4+ProIrdGYr4lITob3cMTALnYoKVdha9gNqcMhIjJYxWUVWPbdn3jrwGVUqERMHdABPz4/Ap0dOL82kVywcZuIiLTGRKnA8O6V8yye4NDkRERELebFca5Y6N0NAPDaTxdw4HyqxBERVRoyZAi8vb0BAFu3bkV4eHiNMuvXr0dsbCwAYOnSpTA2NtZpjERE+kgQBLw4rrL39q4zScguLJU4IiIiw3MzqxBPfH4aP8XcgpFCwBuTPfDRzAEwNzGSOjQiug9nvCciIq0a7e6EY1fScCIuHS+MdZU6HCIiIoMkCAJWTOyN/JJyfBORgpe+PQdLUyV8eraVOjTScydPnkRCQoL6/xkZGerlhIQEBAcHVyvv7+9fYx8bN27EyJEjUVRUBF9fX6xYsQI+Pj4oKirCnj17sHnzZgCAu7s7li1b1iLPQxuCgoIQFBSEiooKqUMhIgIA+PRsC4/2Nrh8OxfbTiXipb9GciEiouY7nZCBgN1nkVVYBgdLE/z3mYEY0YPDkBPJkSCKIidFNRD3f/GOi4tDTk4ObGxspA6LiFqZ6+n5GLc+FMZGAs6t9IWlaeu8jyo3Nxe2trY8F1O9eJwQUXNVqEQs3RODA+dvw1SpwI55QzD0r1FUqGE8D9fk7++P7du3a1y+rp8U9u/fj9mzZyM3t/apatzd3XHw4EG4usr/ZkgeJ0QkJwfP30bA7rOwMVPi1GvjYG3WOka/4LmYNMHjhJpCFEVsPXkD7/4aC5UI9Olog03PeqKjnbnUoRHpHV2dhzksuQHhfGBEJAfd2liik705yipEnLmeKXU4REREBs1IIeCjmQMwrldblJSrMH97FM7fzJY6LCJMmTIF58+fx0svvQR3d3dYWFjAzs4Onp6eWLduHWJiYvSiYZuISG4e7tMOPZwskVtcjl1nkqUOh0gWgoKC4OHhAS8vL6lDIT1TVFqBpXvO4Z2DlQ3bjw/qiB+eG8GGbSKZY+M2ERFplSAIGO3uBAAIi89ooDQRERE1l7GRAp/NGoRh3R2QX1IOv68iEH83T+qwSE8FBwdDFEWNH/VxcXHBhg0bcPXqVRQUFCArKwuRkZEIDAyEhYWFjp4REZFhMVII6inAtp68jqJSTp1AxE5f1BQp9wrx+Oense/PVBgpBKye4oH1T/aHmTHn1yaSOzZuExGR1o12q5yP5kRcusSREBERtQ5mxkbY4ueF/p1skVVYhllb/kByZqHUYRHpNfYCIyK5enRAB3SyN0dGfin2RLL3NhFRY4XFp2PKf08i9nYuHC1N8PWCofAf2Q2CIEgdGhFpgI3bMrVu3ToIggBBEHDmzBmpwyEiapQRrm1gpBBwPaMAKff4wzrRP/HHciJqCVamSgTPHYKeztZIyyvBrK1ncCenWOqwiPQWe4ERkVwZGynw/NgeAIDNJ66jtFwlcURERPpBFEVsCr0Gv68ikF1Yhv6dbLH/xVEY1t1R6tCIqBHYuC1DFy9exKpVq2BpaSl1KERETWJjZoyBne0AcGhyotrwx3Iiain2libYOX8IujhYIOVeEWZv/QP3CkqlDouIiIi0bPrgTnC2McXtnGL8dPam1OEQEcmCKIooKCnHrewiXErNwamEDBw8fxu7ziQhKCQBC7ZHYe2hK1CJwJODO+HbxcPRgfNrE+kdpdQBUHVlZWXw8/PDgAED4Obmhl27dkkdEhFRk3i7OSEqKQsn4tLxzNAuUodDRETUarS1McPXC4biyS/CkZCWD7+vIvD1wqGwMTOWOjQiIiLSElOlERZ6d8c7B2Px2fFrmD64E5RG7MdERIajuKwCWYWlyC4sQ1ZhKXIKy5BVWIbsoqrlynXZf/0tq7AMOYVlKK2ofzQLpULAqikemD3MhcOQE+kpNm7LzJo1a3Dp0iWcPXsW77//vtThEBE12Wj3NvjoaBxOXctAeYWKX7KJiIh0qLODBXYtGIIZm87gwq0cLAiOwvZ5Q2BuYiR1aERERKQlzwztgs+OX0PyvUIcOH8bUwd2lDokIqIaSsor1I3QfzdIlyK7qOzv5aoG7KK/y5Q0Y8oFYyMBtuYmsLcwhp2FMewsTGBnbgx7SxNM7tce/TrZae8JEpHO6X3jdlpaGiIiIhAREYHIyEhERkYiMzMTAODn54fg4GCN95WUlIRPPvkEBw8eREpKCkxNTdGjRw/MmDEDAQEBsLCwaKFnUens2bNYs2YN3nrrLXh4eLRoXURELa1fJzvYmhsjp6gMb/xyCQ6W+tdbbGzPtvDq6iB1GERERE3i2tYaO+YNwdObzyAi8R78voqAVzd7qcPSOmMjBf41wV3qMMgABQUFISgoCBUVFVKHQkRUKwsTJeaP6oYP/ncVG36LQ3xantQh1YvfsUnuPvjfFYhiw+U0KFJZTsOCosZ7rKxcROXw21X7F/+qS4RYrU5RFKutg3q5Krb79nHf9iKq/+3+OqvXV/1vEIEKlYicojJkF5Uhp7CyN3VRWdOvpZQKAXYWxrA1N4a9hclfy/9otLYwhp35X/9aVJazMDFir2wiA6b3jdvOzs5a2c/+/fsxe/Zs5Obmqv9WWFiIqKgoREVFYcuWLTh48CBcXV21Ut8/lZSUYM6cORgwYAACAwNbpA4iIl0yUgjwdmuDA+dv45uIZKnDaRI7cxN+8SYiIr3Wp6MtvprrhWe3/oGIxHuISLwndUhaZ2lixMZtahEBAQEICAhAbm4ubG1tpQ6HiKhWzw53wRehlb23g0KuSR1Ovfgdm+Tus+PXNG6QpsZRCLivIbp6o3RVQ7WtxV/L9zVUW5kq2UhNRDXofeP2/bp06YJevXrhyJEjjdouJiYGM2fORFFREaysrLB8+XL4+PigqKgIe/bswZdffom4uDhMmjQJUVFRsLa21nrsK1euRHx8PKKjo2FkxKECicgwvPZIL3S0N0dpM4YRktIDHW2kDoGIiKjZvLo64PvFI/DLuVuoMMBf60yUnPqEiIhaLxszY2x+1hO/Xb7buN6fEuB3bJI7/xFdNS4rQLMGV03bZRvTfCsIgCD8FYHwdzyCUPnfyn8Fdd3CXxvdv069n/v2d3+8te2v2vr79ldVhyAIUCgE2JgpYXdfQ7WthTGsTZVQKNhITUTaofeN2ytXroSXlxe8vLzg7OyMxMREdOvWrVH7WLp0KYqKiqBUKnHkyBEMHz5cvW7cuHFwc3NDYGAg4uLisH79eqxevbrGPpYtW4aSkpJG1enm5gYACA8Px4cffojVq1ejT58+jYqdiEjOOtlbYPkjvaUOg4iIqNXr28kWfTux5ykREZEhGt7DEcN7OEodBpHeWzXlAalDICIiDeh94/abb77ZrO0jIiIQFhYGAJg/f361hu0qy5Ytw7Zt2xAbG4uNGzfi9ddfh7Fx9bljN23ahIKCAo3rnT59Otzc3FBeXg4/Pz/069cPr732WrOeCxERERERERERERERERGRoWr147ft3btXvTx37txayygUCsyZMwcAkJ2djZCQkBpl8vPzIYqixo+xY8eqt4uPj8e5c+dgYmJSOZzHX4/t27cDAIYPHw5BEKrFSkRERERERERERERERETUmuh9z+3mOnnyJADA0tISgwcPrrPcmDFj1MunTp2Cr6+vVuo3NTXF/Pnza1134sQJxMfH49FHH4WTkxO6du2qlTqJiIiIiIiIqH5BQUEICgpCRUWF1KEQERFRPZiziYhal1bfuB0bGwsAcHV1hVJZ98vRq1evGttog7m5ObZs2VLrOn9/f8THx2P58uUYNmyY1uokIiIiIiIiovoFBAQgICAAubm5sLXlnPVERERyxZxNRNS6tOrG7eLiYmRkZAAAOnXqVG9Ze3t7WFpaoqCgACkpKboIT2MlJSUoKSlR/z83N1fCaIiIiKghvKuciIiIiIiIiIiIqPFa9ZzbeXl56mUrK6sGy1taWgKonCdbTtauXQtbW1v1o3PnzlKHRERERPUICAjA5cuXERkZKXUoRERERERERERERHqjVTduFxcXq5dNTEwaLG9qagoAKCoqarGY7hccHAxRFBscknz58uXIyclRP+TWs5yIiIiIiIiIiIiIiIiIqLla9bDkZmZm6uXS0tIGy1cN/W1ubt5iMTWFqampuuGdiIiIiIiIiIiIiIiIiMgQteqe29bW1uplTYYaLygoAKDZEOZSCAoKgoeHB7y8vKQOhYiIiIiIiIiIiIiIiIhIq1p147aZmRkcHR0BADdv3qy3bFZWlrpxW65zWnP+TiIiIiIiIiLt4A3kRERERERE8tOqG7cBwMPDAwCQkJCA8vLyOstduXJFvdy7d+8Wj4uIiIiIiIiIpMMbyImIiIiIiOSn1Tdujxo1CkDlkOPR0dF1lgsNDVUvjxw5ssXjagreVU5EREREREREREREREREhkopdQBSmzp1KtauXQsA2LZtG4YOHVqjjEqlwo4dOwAAdnZ28PHx0WmMmgoICEBAQABycnJgZ2eH3NxcqUMiImq1qs7BoihKHAnJWdXxwZxNRCQN5mvSBPM1EZH0mLNJE8zZRETS0lW+bvWN20OGDIG3tzfCwsKwdetW+Pn5Yfjw4dXKrF+/HrGxsQCApUuXwtjYWIpQNZaXlwdAvnODExG1Jnl5ebC1tZU6DJIp5mwiInlgvqb6MF8TEckHczbVhzmbiEgeWjpfC6Ke3+528uRJJCQkqP+fkZGBV199FUDl8OELFiyoVt7f37/GPmJiYjBy5EgUFRXBysoKK1asgI+PD4qKirBnzx5s3rwZAODu7o6oqChYW1u33BPSApVKhdTUVFhbW0MQhCbtIzc3F507d0ZKSgpsbGy0HCH9E19v3eFrrVut+fUWRRF5eXno0KEDFIpWPwsI1aG5Obs1f8b0Dd8r/cL3S380971iviZN8Du24eH7IT98T+RFju8HczZpgt+xDQ/fE3nh+yE/cntPdJWv9b5x29/fH9u3b9e4fF1Pd//+/Zg9e3adQ5a4u7vj4MGDcHV1bVKc+iY3Nxe2trbIycmRxQfC0PH11h2+1rrF15uoZfEzpj/4XukXvl/6g+8V6Qseq/LC90N++J7IC98Paq147MsP3xN54fshP631PeFtbn+ZMmUKzp8/j5deegnu7u6wsLCAnZ0dPD09sW7dOsTExLSahm0iIiIiIiIiIiIiIiIiIrnR+zm3g4ODERwcrJV9ubi4YMOGDdiwYYNW9kdERERERERERERERERERNrBnttUK1NTU6xatQqmpqZSh9Iq8PXWHb7WusXXm6hl8TOmP/he6Re+X/qD7xXpCx6r8sL3Q374nsgL3w9qrXjsyw/fE3nh+yE/rfU90fs5t4mIiIiIiIiIiIiIiIiIyPCx5zYREREREREREREREREREckeG7eJiIiIiIiIiIiIiIiIiEj22LhNRERERERERERERERERESyx8ZtIiIiIiIiIiIiIiIiIiKSPTZuUzVJSUlYtmwZevXqBUtLSzg4OMDLywsffPABCgsLpQ7PIERFReGtt96Cr68vOnXqBFNTU1hZWcHd3R1z587FyZMnpQ6xVfj3v/8NQRDUj+PHj0sdksFJTk7GqlWr4OnpCScnJ5iZmaFz587w9vbGypUrcfHiRalDJNJbzNfyx3yv/3itIH+81iBd0lXuPXToEKZNm6bOHZ06dcK0adNw6NAhrdWhz3SVX1evXl0tB9T3aO35QdPXaezYsVqp75tvvoGvry/atWsHMzMzuLi4YPbs2QgPD9fK/vXZ2LFjNX4/mnP88vNBcsecLQ/M2fLCfC0vzNlaIBL9Zd++faKNjY0IoNaHu7u7GB8fL3WYes3b27vO1/f+x5w5c8SSkhKpwzVYMTExolKprPaah4SESB2WQfnkk09ES0vLeo/zpUuXSh0mkV5ivpY/5nv9x2sF+eO1BumSLnJvRUWFOH/+/HqP6QULFogVFRVaelb6R5f5ddWqVRrVxfwgavw6jRkzpln1FBYWihMnTqxz/wqFQly9erV2npSeGjNmjMbvR9VrdvPmzUbXw88HyRlztjwwZ8sP87W8MGc3nxJEAGJiYjBz5kwUFRXBysoKy5cvh4+PD4qKirBnzx58+eWXiIuLw6RJkxAVFQVra2upQ9ZLqampAIAOHTrgySefhLe3N7p06YKKigqEh4dj/fr1uHXrFnbs2IGysjLs3r1b4ogNj0qlwqJFi1BeXo62bdsiLS1N6pAMzjvvvIM33ngDAODu7o6FCxfCy8sLtra2yMzMRExMDH7++WcoFBw8hKixmK/1A/O9fuO1gvzxWoN0SVe59/XXX8fWrVsBAAMHDkRgYCB69OiBa9eu4f3330dMTAy2bNkCJycnvPvuu9p8inpDqvx64cKFetd369ZNK/Xou+effx4vvPBCnestLS2btf958+bh119/BQD4+Phg6dKl6NChAy5cuIB3330X165dw+rVq9G+fXssWrSoWXXpq23btqGgoKDeMpcvX8bMmTMBAOPHj0fHjh2bVSc/HyQnzNnywZwtX8zX8sCcrQVSt66TPFTdTaVUKsXTp0/XWP/++++r7+BYtWqV7gM0EJMmTRK//fZbsby8vNb16enporu7u/q1Dg0N1XGEhu+jjz4SAYi9evUSly9frrd3JsnV0aNHq919WVpaWmdZ9lYkajzma/3AfK/feK0gb7zWIF3TRe69evWqerQIT09PsbCwsNr6goIC0dPTUx1Hax2hRZf59f5eLlQ/XVx7Hjt2TF3PlClTahwD6enpYpcuXUQAop2dnXjv3r0Wi0XfBQYGql/LnTt3Nmkf/HyQXDFnywdztvwwX+sf5uz68VZ2QkREBMLCwgAA8+fPx/Dhw2uUWbZsGXr37g0A2LhxI8rKynQao6E4cOAAZsyYASMjo1rXt2nTBuvXr1f//4cfftBVaK1CcnKyupfPF198ARMTE4kjMiwqlQrPP/88AKB///7YunUrjI2N6yzP15+ocZiv9Qfzvf7itYK88VqDdE1Xuffjjz9GeXk5AODTTz+Fubl5tfUWFhb49NNPAQDl5eX46KOPGl2HIWB+bb0+/PBDAIBSqcRnn31W4xho06YN1q1bBwDIzs7Gli1bdB6jPlCpVPj6668BAFZWVnj88ccljohIe5iz5YU5u3VivtYe5uyGsXGbsHfvXvXy3Llzay2jUCgwZ84cAJUnnpCQEF2E1ir5+Piol69duyZhJIYnICAA+fn58PPzw5gxY6QOx+AcOXIE8fHxAIB///vfUCo58wWRNjFfGxbme3nitYK88VqDdE0XuVcURfzyyy8AgF69emHYsGG1lhs2bBh69uwJAPjll18gimKj6mktmF8NT15eHo4dOwYAmDBhAjp16lRruccffxw2NjYAgJ9//lln8emTY8eO4datWwCA6dOnw8LCQuKIiLSHOVv/MGcbFuZr7WLObhgbtwknT54EUDmfwuDBg+ssd/8PfKdOnWrxuFqrkpIS9XJdd7dR43333Xc4cOAAHBwc1HeRkXZ9//33AABBEDB58mT13+/du4f4+Hjcu3dPqtCIDALztWFhvpcfXivIH681SNd0kXtv3LihnpeyoZtqqtbfunULiYmJjaqntWB+NTyRkZEoLS0FUP9nxMTERN3QFBkZyRGMarFjxw71clUDH5GhYM7WP8zZhoX5WruYsxvGxm1CbGwsAMDV1bXe3g+9evWqsQ1pX2hoqHq5aqgcap7s7GwsXboUALBu3Tq0adNG4ogM05kzZwAAXbt2hbW1NXbv3o2+ffvC0dER7u7ucHR0RM+ePfHhhx9Wu4AlIs0wXxsW5nt54bWCfuC1BumaLnLv5cuXa92PtutpLVoiv/r6+qJt27YwMTFB27ZtMXbsWLz33nvIysrSyv4Nxffffw8PDw9YWFjA2toabm5u8PPza/ZIQk35jJSXl6tH+qBK+fn56h5yLi4uGDt2rFb2y88HyQVztv5hzpYG87X8MWdrho3brVxxcTEyMjIAoM6hIqrY29vD0tISAJCSktLisbVGKpUK7733nvr/M2bMkDAawxEYGIg7d+5g5MiRmD9/vtThGCSVSoUrV64AqJw/ZenSpZg1axYuXrxYrVxcXBxeffVVjBs3DtnZ2RJESqSfmK8NC/O9/PBaQf54rUG6pqvce/PmTfVyQ/V07txZvcwcX1NL5dfffvsN6enpKCsrQ3p6OkJDQ7F8+XJ0795dPTwtVf6oHRsbi6KiIuTn5yMhIQE7duzAuHHjMG3aNOTk5DRpv/yMaMePP/6IgoICAMDs2bMhCIJW9svPB8kBc7b+Yc6WDvO1/DFna4aN261cXl6eetnKyqrB8lXJPz8/v8Vias0++ugjREREAKicf6K+YXRIM2FhYdiyZQuUSiW++OILrSUDqi4nJwcqlQoAcOHCBXzyySdo3749du3ahXv37qGwsBChoaHqYWdOnz6NefPmSRkykV5hvjYszPfywmsF/cBrDdI1XeXextRTVUdT6mkNtJ1f+/btizfeeAP79+9HdHQ0zpw5g+3bt8PX1xdA5agfTzzxBA4dOtTs2PWZhYUFnnrqKXz55ZcICwtDTEwMjhw5gtdffx2Ojo4AKufCfeyxx5o09Cg/I9qh7eFN+fkgOWHO1j/M2brHfK0/mLM1JFKrlpycLAIQAYjPPvtsg+U7d+4sAhB79Oihg+hal+PHj4tKpVIEILZt21a8e/eu1CHpvZKSErFXr14iAPHVV1+tsX7VqlXq4z8kJET3ARqQlJQU9WsJQLSwsBCvXLlSo1xhYaHYv39/dbkzZ85IEC2R/mG+NhzM9/LCawX9wWsN0jVd5d633npLXc+xY8fqLXvs2DF12bfffrtR9Rg6befXrKysetd/8cUX6veiQ4cOYlFRUbPq02f1vVZ37twRBw4cqH6tNm7c2Oj9z5s3T739tWvX6i27detWddmdO3c2ui5DlZKSIioUChGAOGzYsGbvj58PkhvmbP3CnC0N5mv9wJytOfbcbuXMzMzUy6WlpQ2Wr5q7ztzcvMViao0uXbqEadOmoby8HGZmZvj+++/Rtm1bqcPSe++++y6uXLmCLl26YNWqVVKHY9DuP5cAwIIFC9CzZ88a5czNzbFmzRr1/7/99tsWj43IEDBfGwbme/nhtYL+4LUG6Zqucm9j6rl/Lnnm+L+1RH61s7Ord/3ixYvV01ikpqbixx9/bFZ9+qy+18rZ2Rk//PADjI2NAQCffvppo/fPz0jz7dq1Sz36iZ+fX7P3x88HyQ1ztv5gzpYO87V+YM7WHBu3Wzlra2v1siZDQFSN9a/JEC+kmRs3bsDX1xdZWVkwMjLCnj17MHr0aKnD0ntXrlzB2rVrAVQm5PuHOyHtu/9cAkA9rEltxo8fD6VSCQCIjIxs0biIDAXztf5jvpcfXivoF15rkK7pKvc2pp6qOppSj6GSMr8uXrxYvRwaGqqTOvVR9+7d8eCDDwIAEhISkJqa2qjt+Rlpvp07dwIATE1NMXPmTJ3Uyc8H6RJztn5gzpY35mt5YM7WnFLqAEhaZmZmcHR0RGZmJm7evFlv2aysLPWJp3PnzroIz+ClpqZiwoQJSE1NhSAI+Oqrr/DYY49JHZZB+Oijj1BaWoru3bujsLAQe/bsqVHm4sWL6uXff/8dd+7cAQBMmTKFP3A3kqmpKZycnJCeng6g/nOEmZkZ2rRpgzt37qjLE1H9mK/1G/O9PPFaQb/wWoN0TVe5t1OnTurlhupJSUlRLzPHS59fPTw81Mu3bt3SWb36yMPDA7/++iuAyteqQ4cOGm/7z8+Ip6dnnWX5GakpKioKly9fBgBMnjwZ9vb2OqmXnw/SJeZs+WPO1g/M19Jizm4cNm4TPDw8EBYWhoSEBJSXl6t7OfzTlStX1Mu9e/fWVXgGKyMjAw8++CCuX78OoLLH0Jw5cySOynBUDW9y/fp1PP300w2Wf/vtt9XLN27c4A/WTfDAAw/g+PHjAICKiop6y1atr+t8Q0Q1MV/rJ+Z7+eK1gv7htQbpmi5y7/0/Jt2/H23XY2jkkF8FQdBpffqsOa9VUz4jSqUSbm5uTa7TkOzYsUO9rI3hTTXFzwfpGnO2fDFn6w/ma2kxZzcOhyUnjBo1CkDlcBDR0dF1lrt/SIKRI0e2eFyGLCcnBw899JD6Tpz33nsPAQEBEkdF1Dz3DyVUdcFam9zcXGRkZAAAOnbs2OJxERkK5mv9w3xPpF281iBd00Xu7datm7pXTEPDAJ44cQJA5XHdtWvXRtVjSOSSX6vqB9Conk2tUXNeKy8vL5iYmACo/zNSWlqKM2fOqLepmje0NSsrK1OPTOPk5IRHHnlEZ3Xz80G6xpwtT8zZ+oX5WjrM2Y3Hxm3C1KlT1cvbtm2rtYxKpVLfOWJnZwcfHx9dhGaQCgsLMWnSJJw9exYA8Prrr+Pf//63xFEZnuDgYIiiWO9j1apV6vIhISHqv7fmi87meOKJJ9TLP//8c53lfv75Z4iiCADw9vZu8biIDAXztX5hvpc/XivoH15rkK7pIvcKgqAelvPKlSvqH/v+6cyZM+peLo899pje9rBoLjnl102bNqmXx4wZI0kM+uDGjRv47bffAAA9evRo9E1H1tbWGD9+PADg6NGjdQ4F/NNPPyE3NxcAMG3atGZEbDgOHTqknp7jmWee0eloJvx8kK4xZ8sPc7Z+Yb6WFnN2E4hEoih6e3uLAESlUimePn26xvr3339fBCACEFetWqX7AA1ESUmJ6Ovrq34tly5dKnVIrdqqVavU70VISIjU4RiERx55RAQgKhQK8ejRozXW3759W+zUqZMIQDQxMRFv3rwpQZRE+ov5Wj8w3xsOXivID681SNeam3tDQkLU6/38/Gqt4+rVq6KRkZEIQPT09BQLCwurrS8sLBQ9PT3VccTFxWnjqekdbeXXbdu21fuenT9/XoyPj693H5s2bVLvo127dmJ+fn6TYtF3+/btE8vKyupcf+fOHXHgwIHq12r9+vU1yjT0foiiKB47dkxd5tFHHxXLy8urrU9PTxe7dOkiAhDt7OzEe/fuNet5GYonnnhC/bpFR0drtA0/H6TPmLPlgzlbXpiv5Y85u/E4ARkBADZu3IiRI0eiqKgIvr6+WLFiBXx8fFBUVIQ9e/Zg8+bNAAB3d3csW7ZM4mj119NPP40jR44AAMaNG4f58+fj4sWLdZY3MTGBu7u7rsIjaraPP/4Y4eHhyM7OxuTJk/Gvf/0LEydOhLm5OSIiIrB27Vr1nXtvv/02hwolaiTma/3AfE/UcnitQbqmi9zr7u6OV199Fe+99x6ioqIwcuRI/Pvf/0aPHj1w7do1rFu3DjExMQCAV199tdXOTair/BodHY0FCxbAx8cHjzzyCPr27QtHR0eUl5fjypUr+Prrr9VxGBkZYfPmzbC0tGzak9JzL774IsrKyvDEE09g+PDh6Nq1K8zNzZGRkYHjx49j06ZN6mkiRo0a1eShaMeNG4ennnoKe/bswb59+/Dggw/iX//6Fzp06IALFy5gzZo1SE5OBgCsW7cO9vb2WnuO+iorKwsHDhwAAPTp0weDBg3Syn75+SA5Y86WD+ZseWG+ljfm7CaSunWd5GPfvn2ijY2N+k6Nfz7c3d0bvNOD6lfXa1vXw8XFReqQDRp7Y7WMsLAw0dnZuc7jWhAE8T//+Y/UYRLpLeZr+WO+Nxy8VpAnXmuQrjUn92rSC0wURbGiokKcN29evfli/vz5YkVFRQs9S/nTVn5tqJfL/evrezg6Oop79+5t2Sctcy4uLhq9Vk888YSYlZVV6z406QkmipW9ISdOnFhnHQqFgiMX3efzzz9Xvzbvv/++xtvx80H6jjlbHpiz5YX5Wt6Ys5uGPbdJbcqUKTh//jw2btyIgwcP4ubNmzAxMYGrqyuefPJJLFmyBBYWFlKHSUQyN2rUKFy6dAmffvop9u7dixs3bqC0tBTt27fH2LFj8eKLL2LgwIFSh0mkt5iviai147UG6Zoucq9CocDWrVvxxBNPYPPmzYiMjERGRgbatGkDLy8vLF68GI888oiWnhHVZ+LEidi6dSvCw8MRExODu3fvIjMzE6IowsHBAf3798fDDz8Mf39/2NjYSB2upLZv347Q0FCEh4fj+vXryMjIQG5uLqysrNC5c2eMGDECfn5+GD58eLPrMjc3x8GDB7F7924EBwfjzz//RHZ2NpydneHt7Y0lS5ZopR5DsXPnTgCVPbFmzZqltf3y80Fyx5zduvCcpBnma3ljzm4aQRRFUeogiIiIiIiIiIiIiIiIiIiI6qOQOgAiIiIiIiIiIiIiIiIiIqKGsHGbiIiIiIiIiIiIiIiIiIhkj43bREREREREREREREREREQke2zcJiIiIiIiIiIiIiIiIiIi2WPjNhERERERERERERERERERyR4bt4mIiIiIiIiIiIiIiIiISPbYuE1ERERERERERERERERERLLHxm0iIiIiIiIiIiIiIiIiIpI9Nm4TEREREREREREREREREZHssXGbiIiIiIiIiIiIiIiIiIhkj43bREREREREREREREREREQke2zcJiKD17VrVwiCAH9/f6lDISIionowZxMREckf8zUREVHLWb16NQRBgCAIUodCJFts3CbSU8ePH1cnudWrV0sdDhEREdWBOZuIiEj+mK+JiIhaL14HEOkXNm4TGaDExER1Mg4ODpY6nBYxduxYCIKAsWPHSh0KERFRkzFnExERyR/zNRERERGRfCilDoCIqKUlJiZKHQIRERFpgDmbiIhI/piviYiIiEhK7LlNRERERERERERERERERESyx8ZtIiIiIiIiIiIiIiIiIiKSPTZuExkYQRDQrVs39f/nzp2rnhus6rF69epatz179iyee+459OzZE1ZWVrC0tETPnj3x/PPPIy4urs46g4OD1ftOTExESUkJPv74YwwbNgxt2rSpUWdpaSn279+PJUuWwMvLC/b29jA2NoajoyOGDh2K1atXIyMjo9a6/P39IQgCQkNDAQChoaE1nl/Xrl2rbdO1a1cIggB/f/96X7v9+/dj+vTp6NSpE0xNTeHo6Ijhw4fjvffeQ35+vsbPX6VSYfPmzRgxYgTs7e1haWmJfv36Yc2aNSgsLKw3BiIiaj2Ys5mziYhI/pivma+JiKh1O378uDovHT9+HADw3XffYfz48XBycoK5uTl69uyJwMBA3Lt3r8H93bx5EwEBAejevTvMzMzQoUMHPProozh69Gij4srJycHatWsxcuRIODk5wcTEBO3bt8eUKVPwww8/QBTFGtvs3r1b/VxeeOGFOvednJwMe3t7CIKA3r17o6ioqFGxEbU4kYj0UkhIiAhABCCuWrVK/feqv9X3uL+8KIpiRUWF+NJLL4mCINS5jVKpFDdt2lRrLNu2bVOXi4yMFAcMGFBvnX5+fg3G6OjoKJ48ebJGXZps6+LiUm0bFxcXEYDo5+dXa/xFRUXitGnT6t1nhw4dxJiYmAaf/6VLl8Tx48fXuZ8hQ4aI+fn5te6HiIgME3M2czYREckf8zXzNRERtV51XQf8c92xY8fE2bNn15mXXF1dxdu3b9dZz4kTJ0QbG5s6t1+9erW4atUq9f/rcvToUdHR0bHeXDtx4kQxLy+vxrbPPPOMusyBAwdqrK+oqBDHjBkjAhCNjY3F6OhozV9IIh1RgogMyoULF5CamoqHHnoIAPDOO+/gscceq1ambdu21f7/4osv4rPPPgMAjB49Gv7+/ujevTssLCzw559/4uOPP8alS5ewePFitGvXDo8++mid9c+fPx8XLlzAnDlzMHPmTLRr1w7JyckwNTVVlykvL0f37t0xbdo0DBkyBF26dIFSqURSUhKOHj2Kr776CpmZmZg2bRouXrxYLd41a9bglVdewdy5cxEVFQVPT09s27atWgwmJiaNes38/Pzw888/AwD69++PZcuWoXfv3rh37x727NmD4OBgpKamYvz48Th//jw6duxY574WLlyIM2fOwM/PDzNmzFA///fffx/h4eGIiIjAO++8g7Vr1zYqRiIiMjzM2czZREQkf8zXzNdERERV3njjDZw+fRpTp07FnDlz4OLigrt37yIoKAgHDx5EQkICXnrpJXzzzTc1tk1OTsbkyZORm5sLhUKBRYsWYfr06bC1tcX58+fx3nvvYfXq1fD09Kw3hlOnTuGRRx5BWVkZnJ2d8eKLL6J///7o0KEDUlNT8e2332LXrl349ddf4efnhx9//LHa9p999hlOnjyJ5ORkzJs3DxcuXKh2bfD++++rR3R56623MGjQIC28ckRaJnXrOhE1TX13k924cUO9btu2bfXu58iRI+qyW7ZsqbVMUVGROG7cOPUd22VlZdXW339XdX37qZKQkCCqVKo6158/f160srISAYj/+c9/ai1TdffYmDFj6q1LFOu/q/zAgQPquMePHy+WlJTUKLN582Z1mRkzZtRY/8/nv3PnzhpliouLxT59+qjvmP/na0hERIaLOZs5m4iI5I/5mvmaiIhaL017bgMQ33nnnRrbq1Qq0dfXVwQqR2dJS0urUWb69OnqfezevbvG+tzcXLF///7V6vqn0tJSsWvXriIA8eGHHxYLCgpqfT7359ojR47UWB8aGioqFAoRgDh58mT136OiokRjY2MRgDh69GixoqKi1v0TSY1zbhO1cu+99x4A4IknnsD8+fNrLWNmZob//ve/AICkpCSEhITUub9x48bVuZ8qPXr0gCAIda7v27cvFixYAADYu3dvvftqrqCgIACAsbExtm3bVusd6QsXLsSECRMAAD/99BNu375d5/4ef/xxzJ49u8bfTU1NsWTJEgBAZmYmLl++rI3wiYioFWHOZs4mIiL5Y75mviYiIsM1ePBgrFixosbfBUHAyy+/DKByRJXw8PBq6+/cuaMe1WTy5Ml4+umna+zD2toamzdvrrf+PXv2IDExEWZmZtixYwcsLCxqLbdw4UIMGTIEABAcHFxj/ejRo/Hvf/8bAHDgwAF8/vnnKCwsxKxZs1BWVgZbW1vs2LEDCgWbEEmeeGQStWK5ubk4fvw4AGD69On1lu3duzfatGkDADWS8/1mzZrV6DiysrJw7do1XLp0CRcvXsTFixdhZ2cHALh8+TLKysoavU9NlJeXq4dY8fX1RefOnessu3DhQvU2Va9Zbep7/oMHD1YvX79+vZHREhFRa8aczZxNRETyx3zNfE1ERIbtmWeeqfOGsvryUkhICCoqKgAAc+fOrXP/Q4YMwQMPPFDn+n379gEAxowZAycnp3pjHT16NIC6rzPefPNNdczLli3DM888g6tXrwKovFnNxcWl3v0TSYlzbhO1YjExMVCpVACAp59+utY7xmpz586dOtf169dPo31cuHABH330EQ4dOlTv/lQqFbKysmrMYaYN169fR2FhIQBg6NCh9Za9f/3FixfrLNerV6861zk4OKiX8/LyNA2TiIiIOZs5m4iI9ADzNfM1EREZtqbmpQsXLqiXvby86q1jyJAhuHTpUq3roqKiAAD/+9//6h215X51XRcYGxvj66+/xqBBg1BYWIhffvkFQOU1TFNuriPSJTZuE7ViaWlpTdqu6stqbezt7RvcfuvWrXjuuedQXl6uUX1FRUUax9YY9+7dUy839MW+Xbt2tW73T3UNBQOg2jAuVXfqERERaYI5mzmbiIjkj/ma+ZqIiAxbU/NSY3Kks7Nzneuacq1RX97v2bMnXn31Vbz55psAACcnJ3z22WeNroNI19i4TdSK3Z9kN23ahBEjRmi0XX1fro2MjOrd9sqVK+ov3W3btsWrr76KcePGoWvXrrC2toaxsTEA4KuvvlLPKyaKokZxNYemd7oRERFJgTn7b8zZREQkV8zXf2O+JiIiql1zcmTVtcYjjzyC999/v9mx5ObmYvv27er/Z2Rk4OzZsxg3blyz903Ukti4TdSKOTo6qpctLCzQp0+fFq8zODgY5eXlMDIyQmhoaJ1DudR357a23D9UzN27d+ste//wLfdvR0REpAvM2czZREQkf8zXzNdERES1uf9Gtrt376Jz5851lq0vhzo6OiI1NRWlpaVauc5YsmQJEhMTAQDW1tbIy8uDv78/zp8/Dzs7u2bvn6ilKBouQkT6RtO7vwYMGKAue+rUqZYMSa1qvpD+/fvXO0dJ1fwhddHGXeDdu3dXDyXzxx9/1Fs2IiJCvayLHyiIiKh1YM7WDHM2ERFJiflaM8zXREREtevbt696OTIyst6y9a0fOHAggMq8Xlpa2qyYvv/+e+zcuRMAsGDBAuzevRsAkJKSgueff75Z+yZqaWzcJjJAZmZm6uWSkpI6yzk5OWHYsGEAgN27dyM9Pb3FY6uaA6ygoKDOMrdv38a+ffvq3U/Vc6zv+TVEqVRizJgxAIDffvsNN2/erLPsli1b1NuMHTu2yXUSERHdjzlbM8zZREQkJeZrzTBfExER1c7Hx0c91cj9w4D/U2RkJC5evFjn+kcffRQAkJOTg23btjU5nlu3bmHx4sUAADc3N3z88ceYPHkynnvuOQDAnj178PXXXzd5/0QtjY3bRAbI0dERJiYmAIBr167VW/Y///kPgMr5NaZPn47s7Ow6y5aUlCAoKAjFxcVNjs3NzQ0AEB8fj9OnT9dYX1hYiGeeeQZFRUX17qd9+/YAgOvXrzdrvrCAgAAAQGlpKebPn4+ysrIaZb766iscOXIEAPD444+r6yYiImou5mzNMWcTEZFUmK81x3xNRERUU/v27fHYY48BAPbt24fvvvuuRpn8/Hx1g3Nd/Pz81EOav/LKKzhx4kS95U+ePInQ0NBqfxNFEX5+fsjKyoJSqcSuXbtgaWkJAFi/fj169uwJoDKnJycna/YEiXSMjdtEBkipVMLLywtA5ZfGb775BrGxsUhISEBCQkK1ubYmTpyIpUuXAgBOnDiB3r17480338SxY8dw7tw5nDp1Ctu3b8eCBQvQvn17LFmyRH1neFM8++yzAACVSoVJkybh3XffxYkTJxAREYHPP/8cAwYMwPHjxzFy5Mh69zNixAgAQFpaGl5++WVER0ern19SUpLG8UyaNAlPPvkkAODIkSMYNmwYvv76a0RHR+Po0aNYsGABFixYAKByHrANGzY05WkTERHVijmbOZuIiOSP+Zr5moiIqLnWr18Pa2trAMAzzzyDgIAAhISEIDo6Gtu2bcPgwYMRExMDT0/POvdhamqK7777DqampsjPz8e4ceMwe/Zs/PDDD4iOjkZkZCT27duHVatWoV+/fvD29saFCxeq7eOjjz7CsWPHAABvvPEGhgwZol5nYWGBXbt2wdjYGDk5OZgzZw5UKlULvBpEzSQSkV4KCQkRAYgAxFWrVtVYf+DAAVEQBHWZ+x//LK9SqcQ333xTVCqVtZa//2FpaSkWFhZW237btm3q9Tdu3Ggw9jfffLPeOpYtW9bgPvPy8sTu3bvXur2Li0u1si4uLiIA0c/Pr9Z4ioqKxGnTptUbU4cOHcSYmJhat9f0+d+4cUNdbtu2bQ2+TkREZBiYs5mziYhI/pivma+JiKj1qu864P51ISEh9e6nvmuJqn1ZW1vXmR9Xrlwprlq1Sv3/uoSHh4udO3du8DoDgLh9+3b1dufPnxdNTU1FAOLw4cPF8vLyWvf/zjvvqLdft25dvc+ZSArsuU1koCZNmoRjx47hscceQ4cOHWBsbFxnWUEQsHLlSsTFxSEwMBCenp5wcHCAkZERrK2t4eHhgVmzZmH79u24ffs2zM3NmxXbypUrcfDgQfj6+sLe3h4mJibo1KkTHn/8cRw5cgQffvhhg/uwsrLC6dOnsXTpUvTu3RsWFhZNjsfMzAw//fQT9u3bh8cffxwdOnSAiYkJ7O3tMXToUKxduxZXr17FgAEDmlwHERFRXZizNcecTUREUmG+1hzzNRERUe3Gjh2LS5cu4fnnn4eLiwtMTEzg7OyMSZMm4fDhw3jzzTc12s+wYcMQHx+PL774ApMmTVLnWjMzM3Tu3Bm+vr5Ys2YNrly5gjlz5gConA5l1qxZKCkpgZWVFXbu3KmeB/yfXnvtNYwaNQpAZe/uc+fOaeX5E2mLIIrNmEiHiIiIiIiIiIiIiIiIiIhIB9hzm4iIiIiIiIiIiIiIiIiIZI+N20REREREREREREREREREJHts3CYiIiIiIiIiIiIiIiIiItlj4zYREREREREREREREREREckeG7eJiIiIiIiIiIiIiIiIiEj22LhNRERERERERERERERERESyx8ZtIiIiIiIiIiIiIiIiIiKSPTZuExERERERERERERERERGR7LFxm4iIiIiIiIiIiIiIiIiIZI+N20REREREREREREREREREJHts3CYiIiIiIiIiIiIiIiIiItlj4zYREREREREREREREREREckeG7eJiIiIiIiIiIiIiIiIiEj22LhNRERERERERERERERERESy9//P/uXB+Ttq4AAAAABJRU5ErkJggg==", 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" ] @@ -892,7 +222,7 @@ } ], "source": [ - "eigs = cola.eig(cola.SelfAdjoint(C),pbar=True, method='dense')[0]\n", + "eigs = cola.eig(cola.SelfAdjoint(C), k=C.shape[0])[0]\n", "\n", "import matplotlib.pyplot as plt\n", "plt.rcParams['font.size'] = 20\n", @@ -933,14 +263,14 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 6, "id": "9c74d2a9", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "75f4f7ad4bc946ff979240c778d6cff2", + "model_id": "c4d513287e19435fa117a0320fcda7c4", "version_major": 2, "version_minor": 0 }, @@ -958,14 +288,17 @@ "C_jax = cola.lazify(jnp.array(C.to_dense()))\n", "y_jax = jnp.array(y)\n", "\n", - "def mycg(C,y):\n", - " return cola.algorithms.cg(C,y,tol=1e-4,pbar=True)\n", + "\n", + "def mycg(C, y):\n", + " return cola.CG(tol=1e-4, pbar=True)(C, y)\n", + "\n", + "\n", "solj, infoj = jax.jit(mycg)(C_jax, y_jax)" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 7, "id": "4f9aae59", "metadata": {}, "outputs": [ @@ -981,65 +314,6 @@ "print(infoj)" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "bfb3e774", - "metadata": {}, - "source": [ - "# Linear Regression" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "ecf53cd2", - "metadata": {}, - "source": [ - "In this notebook" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "6a0529de", - "metadata": {}, - "outputs": [], - "source": [ - "import cola\n", - "import numpy as np\n", - "\n", - "Phi = np.random.randn(100, 10)\n", - "y = np.random.randn(100)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "1e988043", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(10, 10)\n", - "(10, 10)\n" - ] - } - ], - "source": [ - "beta = cola.pinv(cola.lazify(Phi))@y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ed07ce80", - "metadata": {}, - "outputs": [], - "source": [] - }, { "attachments": {}, "cell_type": "markdown", @@ -1069,16 +343,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2023-08-01 20:03:34-- https://www.andpotap.com/static/bike.mat\n", - "Resolving www.andpotap.com (www.andpotap.com)... 69.164.216.245\n", - "Connecting to www.andpotap.com (www.andpotap.com)|69.164.216.245|:443... connected.\n", + "--2023-10-13 14:55:46-- https://www.andpotap.com/static/bike.mat\n", + "Resolving www.andpotap.com (www.andpotap.com)... 143.42.238.119\n", + "Connecting to www.andpotap.com (www.andpotap.com)|143.42.238.119|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 434829 (425K) [application/octet-stream]\n", "Saving to: ‘bike.mat’\n", "\n", - "bike.mat 100%[===================>] 424.64K --.-KB/s in 0.04s \n", + "bike.mat 100%[===================>] 424.64K --.-KB/s in 0.05s \n", "\n", - "2023-08-01 20:03:34 (10.5 MB/s) - ‘bike.mat’ saved [434829/434829]\n", + "2023-10-13 14:55:46 (8.22 MB/s) - ‘bike.mat’ saved [434829/434829]\n", "\n" ] } @@ -1094,9 +368,6 @@ "metadata": {}, "outputs": [], "source": [ - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")" ] @@ -1121,20 +392,15 @@ " data = np.array(loadmat(file_path)['data'])\n", " X = data[:, -2:-1]\n", " y = data[:, -1]\n", - "\n", " X = X - X.min(0)[None]\n", " X = 2.0 * (X / X.max(0)[None]) - 1.0\n", " y -= y.mean()\n", " y /= y.std()\n", - "\n", - "\n", " train_n = int(floor(train_p * X.shape[0]))\n", " return X[:train_n], y[:train_n], X[train_n:], y[train_n:]\n", "\n", "\n", - "\n", "train_x, train_y, test_x, test_y = load_uci_data(data_dir=\"./\", dataset=\"bike\")\n", - "\n", "dtype = jnp.float32\n", "train_x = train_x[:3000]\n", "train_y = train_y[:3000]" @@ -1189,12 +455,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "c5ed6118", "metadata": {}, "outputs": [], "source": [ - "ls, uscale, noise = .2, .5, 1e-3\n", + "from cola.linalg import Cholesky\n", + "\n", + "ls, uscale, noise = .2, .5, 1e-2\n", "\n", "def predicted_mean_std(ls,uscale,noise):\n", " kernel = rbf(ls=ls, uscale=uscale)\n", @@ -1202,10 +470,10 @@ " Kzx = cola.ops.Dense(kernel(test_x, train_x))\n", " Kzz = cola.ops.Dense(kernel(test_x, test_x))\n", " K = cola.PSD(Kxx + noise * cola.ops.I_like(Kxx))\n", - " invK = cola.inverse(K)\n", + " invK = cola.inv(K, alg=Cholesky())\n", " mu = Kzx@invK@train_y\n", " Sigma = Kzz - Kzx@invK@Kzx.T\n", - " std = jnp.sqrt(cola.diag(Sigma,method='exact'))\n", + " std = jnp.sqrt(cola.diag(Sigma))\n", " return mu,std" ] }, @@ -1221,23 +489,30 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "9dd4eb89", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:jax._src.xla_bridge:CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -1280,30 +555,31 @@ "$$\n", "\n", "Here:\n", - "- $ y $ is the vector of target values.\n", - "- $ K $ is the kernel matrix computed using the RBF kernel between the training inputs.\n", - "- $ \\sigma^2_n $ is the noise variance.\n", - "- $ I $ is the identity matrix.\n", - "- $ n $ is the number of training examples." + "\n", + "- $y$ is the vector of target values.\n", + "- $K$ is the kernel matrix computed using the RBF kernel between the training inputs.\n", + "- $\\sigma^2_n$ is the noise variance.\n", + "- $I$ is the identity matrix.\n", + "- $n$ is the number of training examples." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "id": "4545800a", "metadata": {}, "outputs": [], "source": [ "# compute the MLL\n", "y = train_y\n", + "alg = Cholesky()\n", "def NLL(params, key):\n", " ls,uscale,noise = params\n", " kernel = rbf(ls, uscale)\n", " Kxx= cola.ops.Dense(kernel(train_x, train_x))\n", " K = cola.PSD(Kxx + noise * cola.ops.I_like(Kxx))\n", - " #K = cola.decompositions.cholesky_decomposed(K)\n", - " invK = cola.inverse(K)\n", - " minus2MLL =y.T@(invK@y)+cola.logdet(K,key=key)+jnp.log(2*jnp.pi)*y.shape[0]\n", + " invK = cola.inv(K,alg)\n", + " minus2MLL =y.T@(invK@y)+cola.logdet(K,alg)+jnp.log(2*jnp.pi)*y.shape[0]\n", " return minus2MLL/(2*y.shape[0])" ] }, @@ -1318,7 +594,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 14, "id": "0d9642e3", "metadata": {}, "outputs": [ @@ -1326,16 +602,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "loss: 6.910\n", - "loss: 0.733\n", - "loss: 0.100\n", - "loss: -0.128\n", - "loss: -0.239\n", - "loss: -0.311\n", - "loss: -0.352\n", - "loss: -0.383\n", - "loss: -0.404\n", - "loss: -0.420\n" + "loss: -0.268\n", + "loss: -0.377\n", + "loss: -0.423\n", + "loss: -0.443\n", + "loss: -0.451\n", + "loss: -0.454\n", + "loss: -0.454\n", + "loss: -0.454\n", + "loss: -0.453\n", + "loss: -0.453\n" ] } ], @@ -1372,15 +648,15 @@ }, { "cell_type": "code", - "execution_count": 9, - "id": "e57e9d2a", + "execution_count": 15, + "id": "63ec6dd8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "ls = 0.18, uscale = 0.52, noise = 0.01\n" + "ls = 0.17, uscale = 0.53, noise = 0.03\n" ] } ], @@ -1401,23 +677,23 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 16, "id": "c90e19c0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -1437,6 +713,14 @@ "plt.fill_between(test_x[order].reshape(-1), (mu - 2*pstd)[order], (mu + 2*pstd)[order], alpha=.5, interpolate=True)" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "99204e6b", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "ab8548f7", @@ -1447,27 +731,51 @@ }, { "cell_type": "markdown", - "id": "ea608770", + "id": "696fd4cd", "metadata": {}, "source": [ - "TODO: Add half moons examples\n", + "In this application, we'll show how `CoLA` can be used to perform Spectral Clustering. This application allows us to showcase our `Sparse` operator.\n", "\n", - "TODO: Improve text description below." + "In terms of the data, we will use the arXiv paper citation network of High Energy Physics. This is a directed graph showing the papers cited for each paper in the dataset. As in this case we will consider two papers to be related if at least one cited the other, then it will suffice to use an undirected graph. \n", + "\n", + "The following command would download the data in case it is not on the `data` folder under the user's `HOME` directory." ] }, { - "cell_type": "markdown", - "id": "696fd4cd", + "cell_type": "code", + "execution_count": 1, + "id": "d8e38602-bdc3-4fba-9fac-a5a1d4e24509", + "metadata": {}, + "outputs": [], + "source": [ + "![ ! -f \"$HOME/data/cit-HepPh.txt\" ] && wget -P ~/data https://www.andpotap.com/static/cit-HepPh.txt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "03fb57d0-38f9-424f-8707-66103b7f01b2", "metadata": {}, + "outputs": [], "source": [ - "In this application, we'll show how `CoLA` can be used to perform Spectral Clustering. This application allows us to showcase how to use our `Sparse` operator.\n", + "import os\n", + "import warnings\n", "\n", - "As data, we will use the arXiv paper citation network of High Energy Physics. This is a directed graph, but we'll make it undirected by noting that if a paper cites another one, then they are related. To pre-process the data we will use the following code:" + "warnings.filterwarnings('ignore')\n", + "input_path = os.path.join(os.environ['HOME'], \"data/cit-HepPh.txt\")" + ] + }, + { + "cell_type": "markdown", + "id": "6dd6a841-7295-4a17-a330-dc916586ab71", + "metadata": {}, + "source": [ + "To pre-process the data we will use the following code:" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "id": "c78356d3", "metadata": {}, "outputs": [], @@ -1496,10 +804,11 @@ " data, col_ind, rowptr, shape = out\n", " return data, col_ind, rowptr, shape\n", "\n", + "\n", "def transform_to_csr(sparse_matrix, xnp, dtype):\n", - " data = xnp.array(sparse_matrix.data, dtype=dtype)\n", - " indices = xnp.array(sparse_matrix.indices, dtype=xnp.int64)\n", - " indptr = xnp.array(sparse_matrix.indptr, dtype=xnp.int64)\n", + " data = xnp.array(sparse_matrix.data, dtype=dtype, device=None)\n", + " indices = xnp.array(sparse_matrix.indices, dtype=xnp.int64, device=None)\n", + " indptr = xnp.array(sparse_matrix.indptr, dtype=xnp.int64, device=None)\n", " return data, indices, indptr, sparse_matrix.shape\n", "\n", "\n", @@ -1520,7 +829,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "id": "7c5f6df8", "metadata": {}, "outputs": [ @@ -1528,27 +837,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "Found 84 nodes\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/pop/cola/cola/ops/operators.py:56: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at ../aten/src/ATen/SparseCsrTensorImpl.cpp:53.)\n", - " self.A = self.xnp.sparse_csr(indptr, indices, data)\n" + "Found 34,545 nodes\n" ] } ], "source": [ "import torch\n", "import cola\n", - "from cola import torch_fns as xnp\n", + "from cola.backends import torch_fns as xnp\n", "\n", - "filepath = \"/home/pop/Downloads/cit-HepPh.txt\"\n", - "num_edges = 100\n", + "num_edges = -1\n", "dtype = torch.float64\n", - "data, col_ind, rowptr, shape = load_graph_data(filepath, dtype, xnp, num_edges)\n", + "data, col_ind, rowptr, shape = load_graph_data(input_path, dtype, xnp, num_edges)\n", "Ad = cola.ops.Sparse(data, col_ind, rowptr, shape)" ] }, @@ -1557,20 +857,29 @@ "id": "69e37db8", "metadata": {}, "source": [ - "Given the adjacency matrix, we can now create the normalized Laplacian defined as $L=I - D^{-1/2} A D^{-1/2}$, where $D$ is the diagonal matrix that contains the degree of each node, $A$ is the adjecency matrix and $I$ is the identity. We can create the Laplacian operator really easily in `CoLA` as" + "Given the adjacency matrix, we can now create the normalized Laplacian defined as $L=I - D^{-1/2} A D^{-1/2}$, where $D$ is the diagonal matrix that contains the degree of each node, $A$ is the adjacency matrix and $I$ is the identity. We can create the Laplacian operator really easily in `CoLA` as" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "id": "b8918cf3", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Size of the Laplacian: (34545, 34545)\n" + ] + } + ], "source": [ - "Deg = cola.ops.Diagonal(Ad @ xnp.ones(shape=(Ad.shape[0], ), dtype=dtype))\n", + "Deg = cola.ops.Diagonal(Ad @ torch.ones((Ad.shape[0], ), dtype=dtype))\n", "Id = cola.ops.I_like(Deg)\n", - "Lap = Id - cola.inverse(cola.sqrt(Deg)) @ Ad @ cola.inverse(cola.sqrt(Deg))\n", - "Lap = cola.SelfAdjoint(Lap)" + "Lap = Id - cola.inv(cola.sqrt(Deg)) @ Ad @ cola.inv(cola.sqrt(Deg))\n", + "Lap = cola.SelfAdjoint(Lap)\n", + "print(f\"Size of the Laplacian: {Lap.shape}\")" ] }, { @@ -1583,36 +892,108 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "id": "89dac75a", "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[2 4 4 4 4 4 1 0 4 2 2 4 4 4 4 4 4 4 4 0 0 0 2 0 0 0 2 1 1 1 7 1 1 1 1 1 1\n", - " 2 2 2 2 2 6 5 5 3 5 5 7 5 5 6 5 5 6 6 6 6 7 7 7 7 7 7 7 3 3 3 3 3 3 3 3 3\n", - " 3 3 3 3 3 3 3 3 4 5]\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "/home/pop/venv/cola/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n", - " warnings.warn(\n" + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" ] } ], "source": [ "from sklearn.cluster import KMeans\n", "\n", - "embedding_size, n_clusters = 8, 8\n", - "eigvals, eigvecs = cola.eig(Lap, method=\"lanczos\")\n", - "x_emb = eigvecs[:, :embedding_size].to_dense()\n", - "kmeans = KMeans(n_clusters=n_clusters).fit(x_emb)\n", - "print(kmeans.labels_)" + "eigvals, eigvecs = cola.eig(Lap, k=20, which=\"SM\", alg=cola.Lanczos(max_iters=300))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "6b077609", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([-3.1070e-15, -1.0551e-15, 1.0093e-15, 1.5716e-02, 2.3005e-02,\n", + " 3.2201e-02, 4.2626e-02, 4.2914e-02, 4.5332e-02, 4.5939e-02,\n", + " 5.5096e-02, 5.7384e-02, 6.2086e-02, 6.5325e-02, 6.7329e-02,\n", + " 6.9325e-02, 7.0176e-02, 7.0703e-02, 7.4464e-02, 7.5107e-02],\n", + " dtype=torch.float64)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "eigvals" + ] + }, + { + "cell_type": "markdown", + "id": "1d809094", + "metadata": {}, + "source": [ + "From the eigenvalues we can determine that there are 3 connected components of the citation graph. Let's identify these components" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "caa951e5", + "metadata": {}, + "outputs": [], + "source": [ + "n_clusters = 3\n", + "x_emb = eigvecs.to_dense()[:,:n_clusters]\n", + "kmeans = KMeans(n_clusters=n_clusters).fit(x_emb)" + ] + }, + { + "cell_type": "markdown", + "id": "4bcfbfa8", + "metadata": {}, + "source": [ + "And now let's visualize these three components in the basis of these eigenvectors" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "99ab03c5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure()\n", + "ax = fig.add_subplot(projection='3d')\n", + "ax.scatter(*x_emb.T, c=kmeans.labels_, cmap=\"tab10\")" ] }, { @@ -1658,7 +1039,15 @@ "execution_count": 1, "id": "466258d6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], "source": [ "import numpy as np\n", "import jax.numpy as jnp\n", @@ -1692,7 +1081,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1702,9 +1091,10 @@ } ], "source": [ + "from scipy.signal import convolve2d\n", "domain = (((x>0)|(y>0))&((y>-.5)|((x-.5)**2+(y+.5)**2<.5**2))) # chosen for example\n", "# reduce the domain by one pixel leave space for the boundary conditions\n", - "domain &= ~(scipy.signal.convolve2d((~domain).astype(np.float32),jnp.ones((3,3)),mode='same',fillvalue=1)>0)\n", + "domain &= ~(convolve2d((~domain).astype(np.float32),jnp.ones((3,3)),mode='same',fillvalue=1)>0)\n", "domain_ids, = domain.reshape(-1).nonzero()\n", "\n", "BCS = jnp.where(domain,jnp.zeros_like(x),(x+y)*jnp.cos(2*x))\n", @@ -1733,7 +1123,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "d96a48b5", "metadata": {}, "outputs": [], @@ -1746,7 +1136,7 @@ " cderiv = lambda x: jax.scipy.signal.correlate(x,jnp.array([1.,-2,1.])/dx**2,mode='same')\n", " return sum([jnp.apply_along_axis(cderiv,i,x) for i in range(ndims)]).reshape(-1)\n", "\n", - "Lfull = cola.LinearOperator(jnp.float32,shape=(N**ndims,N**ndims),matmat=jit(vmap(laplacian,-1,-1)))\n", + "Lfull = cola.ops.LinearOperator(jnp.float32,shape=(N**ndims,N**ndims),matmat=jit(vmap(laplacian,-1,-1)))\n", "Lfull = cola.PSD(Lfull)" ] }, @@ -1761,7 +1151,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "a1e772fb", "metadata": {}, "outputs": [], @@ -1780,7 +1170,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "5f5e9780", "metadata": {}, "outputs": [], @@ -1798,33 +1188,19 @@ "\n", "$Lv = b$\n", "\n", - "and annotate that $L$ is a symmetric operator to speed up the computation." + "and annotate that $L$ is a PSD operator to speed up the computation." ] }, { - "cell_type": "code", - "execution_count": 6, - "id": "df413ec9", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c62d53d71ceb497a80ea64da45e49140", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body_fun: 0%| | 0/100 [00:00" ] @@ -1895,7 +1271,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "id": "4ad7a1c1", "metadata": {}, "outputs": [], @@ -1947,7 +1323,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, "id": "3c7b5852", "metadata": {}, "outputs": [ @@ -1956,16 +1332,17 @@ "output_type": "stream", "text": [ "PDE Error: 6.0e+02\n", - "PDE Error: 2.1e+02\n", - "PDE Error: 8.9e+01\n", - "PDE Error: 1.9e+01\n", - "PDE Error: 2.2e+00\n", - "PDE Error: 1.5e-01\n", - "PDE Error: 9.0e-04\n" + "PDE Error: 2.4e+02\n", + "PDE Error: 2.0e+02\n", + "PDE Error: 3.7e+01\n", + "PDE Error: 4.0e+00\n", + "PDE Error: 2.2e-02\n", + "PDE Error: 5.5e-04\n" ] } ], "source": [ + "from cola.linalg import GMRES\n", "# Newton Raphson iteration\n", "tol = 3e-3\n", "\n", @@ -1975,7 +1352,7 @@ " F = pde_constraint_on_domain(z)\n", " err = jnp.max(jnp.abs(F))\n", " J = cola.ops.Jacobian(pde_constraint_on_domain,z)\n", - " z -= cola.inverse(J, max_iters=100)@F\n", + " z -= cola.inv(J, alg=GMRES(max_iters=100))@F\n", " print(f\"PDE Error: {err:1.1e}\")" ] }, @@ -1990,13 +1367,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "id": "2226daf8", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", "text/plain": [ "
" ] @@ -2076,7 +1453,15 @@ "execution_count": 1, "id": "001cbe0d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:jax._src.xla_bridge:CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], "source": [ "import numpy as np\n", "import jax.numpy as jnp\n", @@ -2084,7 +1469,7 @@ "import jax\n", "import cola\n", "from jax.config import config; config.update(\"jax_enable_x64\", False)\n", - "#jax.config.update('jax_platform_name', 'cpu')\n", + "jax.config.update('jax_platform_name', 'cpu')\n", "\n", "N = 300\n", "ndims = 2\n", @@ -2140,7 +1525,7 @@ "def vfn(x):\n", " return (x * x).sum() / 2\n", "\n", - "V = cola.diag(vmap(vfn)(xyz).reshape(-1))" + "V = cola.ops.Diagonal(vmap(vfn)(xyz).reshape(-1))" ] }, { @@ -2156,817 +1541,147 @@ }, { "cell_type": "code", - "execution_count": 4, - "id": "2b696c83", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c6c562fbfba54459a3920ecb24933291", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body_fun: 0%| | 0/100 [00:00 requested in array is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.\n", - " return jnp.array(arr, dtype=dtype)\n" - ] - } - ], - "source": [ - "H = -L / 2 + V\n", - "energy_levels, eigenfunctions = cola.eig(cola.SelfAdjoint(H),max_iters=500, tol=1e-4, method='iterative', pbar=True)\n", - "eigenfunctions = eigenfunctions.to_dense()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "58ee1c48", - "metadata": {}, - "source": [ - "The Hamiltonian operator H is defined as the sum of the kinetic energy operator (-Δ/2) and the potential energy operator (V). The cola.SelfAdjoint function is used to inform CoLA that H is a symmetric operator which makes the eigenvalue calculation more efficient.\n", - "\n", - "We then plot the lowest several eigenvalues:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "c642575b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nm = np.stack(np.meshgrid(np.arange(10),np.arange(10)), axis=-1).reshape(-1, 2)\n", - "Enm = 1+nm[:,0]+nm[:,1]\n", - "nm = nm[Enm.argsort()]\n", - "Enm = np.sort(Enm)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "fig, axs = plt.subplots(1, figsize=(5, 3))\n", - "axs.plot(energy_levels[:25], 'o',alpha=0.5, label=\"Numerical\")\n", - "axs.plot(Enm[:25], 'o', color='k',alpha=0.5, label=\"Analytical\")\n", - "plt.legend()\n", - "plt.xlabel(\"index\")\n", - "plt.ylabel(\"Energy Level\")\n", - "plt.show()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "696d5a6a", - "metadata": {}, - "source": [ - "Each point represents an eigenvalue, which corresponds to an energy level of the quantum harmonic oscillator. Up to errors produced by the finite boundary (at [-30,30]) and discretization, we see the familiar $E_{nm} = (1/2+n)+(1/2+m)$ energy levels for the 2d oscillator.\n", - "\n", - "Lastly, we visualize the corresponding eigenfunctions:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "0c74eeef", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "\n", - "fig, axs = plt.subplots(2, 4, figsize=(8, 4))\n", - "for i,ax in enumerate(axs.flatten()):\n", - " l = 30\n", - " ax.imshow(eigenfunctions[:, i].reshape(N,N)[N//2-l:N//2+l,N//2-l:N//2+l],\n", - " extent=[grid[N//2-l],grid[N//2+l],grid[N//2+l],grid[N//2-l]],\n", - " cmap='RdBu_r', vmin=-0.1, vmax=0.1)\n", - " ax.set_title(r\"$E_{{{}}} ={:.3f}$\".format(\"n,m\",energy_levels[i]))\n", - " ax.axis('off')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "7a2c2e7f", - "metadata": {}, - "source": [ - "Each subplot represents an eigenfunction, reshaped to 2D and displayed as an image. The eigenfunctions correspond to the wave functions of the quantum harmonic oscillator at different energy levels. The color represents the value of the wave function at each point in the grid. The title of each subplot shows the corresponding eigenvalue, or energy level.\n", - "\n", - "Through this example, we have shown how to solve for the energy levels and wave functions of a quantum harmonic oscillator using the CoLA library." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "c0195343", - "metadata": {}, - "source": [ - "## Solving the Schrodinger Eq for the Hydrogen atom in 3d, diagonalizing non hermitian Hamiltonians via compactifying transform" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e3e24c4a", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/data/users/marc_f/cola/cola/ops.py:78: UserWarning: Explicitly requested dtype requested in eye is not available, and will be truncated to dtype float32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.\n", - " return self @ self.xnp.eye(self.shape[-1], dtype=self.dtype)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 41.57455 41.575943 41.576588 41.577152 41.5774 41.57964\n", - " 41.582 41.584194 152.37383 152.37447 ]\n" - ] - } - ], - "source": [ - "# e3 = jnp.linalg.eigvalsh(H.to_dense())\n", - "# print(np.sort(e3)[:10])" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "7e9d2228", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "float64\n", - "[-636.61924877 -636.61924877] [636.61924877 636.61924877]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0481d6ee879c472ebaaf2f9add78faba", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Running body_fun: 0%| | 0/100 [00:00 0.5, hdiag(psi_grid), hessian)\n", - " l1 = (dpsi.reshape(-1, ndims) * laplacian_factor1).sum(-1)\n", - " l2 = (hessian * laplacian_factor2).sum((1, 2))\n", - " return (l1 + l2).reshape(psi.shape)\n", - "\n", - "\n", - "L = cola.ops.LinearOperator(jnp.float64, shape=(N**ndims, N**ndims), matmat=jit(vmap(laplacian, -1, -1)))\n", - "v = vmap(vfn)(xyz).reshape(-1)\n", - "V = cola.diag(v)\n", - "H = -L / 2 + V\n", - "\n", - "\n", - "e2, v2 = cola.eig(H, method='iterative', max_iters=1000, pbar=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1aed271b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Array([1.02420471e-09, 1.35671930e+00, 2.72072743e+00, 3.17830192e+00,\n", - " 3.86589850e+00, 4.28089835e+00, 4.89605913e+00, 5.03809506e+00,\n", - " 5.51907279e+00, 6.29295117e+00, 6.29295117e+00, 7.24972949e+00,\n", - " 7.36801518e+00, 8.08539843e+00, 8.64521094e+00, 9.64414748e+00,\n", - " 9.64414748e+00, 1.06404372e+01, 1.06404372e+01, 1.24171077e+01,\n", - " 1.24171077e+01, 1.44055015e+01, 1.44055015e+01, 1.50948738e+01,\n", - " 1.71728696e+01, 1.71728696e+01, 1.86532230e+01, 2.01579422e+01,\n", - 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" 2.03633795e+05, 2.03633795e+05, 2.03633795e+05, 2.03633795e+05,\n", - " 2.03633795e+05, 2.03633795e+05, 2.03633795e+05, 2.03633795e+05,\n", - " 2.03637795e+05, 2.03637795e+05, 2.03637795e+05, 2.03637795e+05,\n", - " 2.03637795e+05, 2.03637795e+05, 2.03637795e+05, 2.03637795e+05,\n", - " 4.05284068e+05, 4.05284068e+05, 4.05284068e+05, 4.05284068e+05], dtype=float64)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "e2.real.sort()[:10]" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "f2cab548", + "execution_count": 8, + "id": "2b696c83", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2023-09-05 16:25:12.412305: W external/xla/xla/service/hlo_rematerialization.cc:2202] Can't reduce memory use below 8.06GiB (8659795968 bytes) by rematerialization; only reduced to 9.69GiB (10400480000 bytes), down from 9.69GiB (10400480000 bytes) originally\n", - "2023-09-05 16:25:22.617320: W external/tsl/tsl/framework/bfc_allocator.cc:485] Allocator (GPU_0_bfc) ran out of memory trying to allocate 8.94GiB (rounded to 9600001024)requested by op \n", - "2023-09-05 16:25:22.617623: W external/tsl/tsl/framework/bfc_allocator.cc:497] *_***********************___________________________________________________________________________\n", - "2023-09-05 16:25:22.617807: E external/xla/xla/pjrt/pjrt_stream_executor_client.cc:2593] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 9600000792 bytes.\n", - "BufferAssignment OOM Debugging.\n", - "BufferAssignment stats:\n", - " parameter allocation: 762.94MiB\n", - " constant allocation: 468.8KiB\n", - " maybe_live_out allocation: 762.94MiB\n", - " preallocated temp allocation: 8.94GiB\n", - " preallocated temp fragmentation: 0B (0.00%)\n", - " total allocation: 10.43GiB\n", - " total fragmentation: 763.40MiB (7.15%)\n", - "Peak buffers:\n", - "\tBuffer 1:\n", - "\t\tSize: 2.98GiB\n", - "\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/concatenate[dimension=4]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=56\n", - "\t\tXLA Label: fusion\n", - "\t\tShape: f64[10000,100,100,2,2]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 2:\n", - "\t\tSize: 1.49GiB\n", - "\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n", - "\t\tXLA Label: custom-call\n", - "\t\tShape: f64[2000000,1,100]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 3:\n", - "\t\tSize: 1.49GiB\n", - "\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n", - "\t\tXLA Label: custom-call\n", - "\t\tShape: f64[2000000,1,100]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 4:\n", - "\t\tSize: 1.49GiB\n", - "\t\tXLA Label: fusion\n", - "\t\tShape: f64[10000,100,100,2]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 5:\n", - "\t\tSize: 1.49GiB\n", - "\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/vmap(jit(_diag))/jit(_where)/transpose[permutation=(0, 2, 1)]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=50\n", - "\t\tXLA Label: fusion\n", - "\t\tShape: f64[10000,10000,2]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 6:\n", - "\t\tSize: 762.94MiB\n", - "\t\tEntry Parameter Subshape: f64[10000,10000]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 7:\n", - "\t\tSize: 762.94MiB\n", - "\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/add\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=81\n", - "\t\tXLA Label: fusion\n", - "\t\tShape: f64[10000,10000]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 8:\n", - "\t\tSize: 312.5KiB\n", - "\t\tXLA Label: constant\n", - "\t\tShape: f64[10000,2,2]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 9:\n", - "\t\tSize: 156.2KiB\n", - "\t\tXLA Label: constant\n", - "\t\tShape: f64[10000,2]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 10:\n", - "\t\tSize: 24B\n", - "\t\tXLA Label: fusion\n", - "\t\tShape: (f64[2000000,1,100], f64[10000,100,100,2], f64[2000000,1,100])\n", - "\t\t==========================\n", - "\n", - "\tBuffer 11:\n", - "\t\tSize: 24B\n", - "\t\tXLA Label: constant\n", - "\t\tShape: f64[1,1,3]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 12:\n", - "\t\tSize: 24B\n", - "\t\tXLA Label: constant\n", - "\t\tShape: f64[1,1,3]\n", - "\t\t==========================\n", - "\n", - "\tBuffer 13:\n", - "\t\tSize: 16B\n", - "\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n", - "\t\tXLA Label: custom-call\n", - "\t\tShape: (f64[2000000,1,100], u8[0])\n", - "\t\t==========================\n", - "\n", - "\tBuffer 14:\n", - "\t\tSize: 16B\n", - "\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n", - "\t\tXLA Label: custom-call\n", - "\t\tShape: (f64[2000000,1,100], u8[0])\n", - "\t\t==========================\n", - "\n", - "\tBuffer 15:\n", - "\t\tSize: 16B\n", - "\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n", - "\t\tXLA Label: custom-call\n", - "\t\tShape: (f64[1000000,1,100], u8[0])\n", - "\t\t==========================\n", - "\n", - "\n" + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" ] }, - { - "ename": "XlaRuntimeError", - "evalue": "RESOURCE_EXHAUSTED: Out of memory while trying to allocate 9600000792 bytes.\nBufferAssignment OOM Debugging.\nBufferAssignment stats:\n parameter allocation: 762.94MiB\n constant allocation: 468.8KiB\n maybe_live_out allocation: 762.94MiB\n preallocated temp allocation: 8.94GiB\n preallocated temp fragmentation: 0B (0.00%)\n total allocation: 10.43GiB\n total fragmentation: 763.40MiB (7.15%)\nPeak buffers:\n\tBuffer 1:\n\t\tSize: 2.98GiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/concatenate[dimension=4]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=56\n\t\tXLA Label: fusion\n\t\tShape: f64[10000,100,100,2,2]\n\t\t==========================\n\n\tBuffer 2:\n\t\tSize: 1.49GiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: f64[2000000,1,100]\n\t\t==========================\n\n\tBuffer 3:\n\t\tSize: 1.49GiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: f64[2000000,1,100]\n\t\t==========================\n\n\tBuffer 4:\n\t\tSize: 1.49GiB\n\t\tXLA Label: fusion\n\t\tShape: f64[10000,100,100,2]\n\t\t==========================\n\n\tBuffer 5:\n\t\tSize: 1.49GiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/vmap(jit(_diag))/jit(_where)/transpose[permutation=(0, 2, 1)]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=50\n\t\tXLA Label: fusion\n\t\tShape: f64[10000,10000,2]\n\t\t==========================\n\n\tBuffer 6:\n\t\tSize: 762.94MiB\n\t\tEntry Parameter Subshape: f64[10000,10000]\n\t\t==========================\n\n\tBuffer 7:\n\t\tSize: 762.94MiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/add\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=81\n\t\tXLA Label: fusion\n\t\tShape: f64[10000,10000]\n\t\t==========================\n\n\tBuffer 8:\n\t\tSize: 312.5KiB\n\t\tXLA Label: constant\n\t\tShape: f64[10000,2,2]\n\t\t==========================\n\n\tBuffer 9:\n\t\tSize: 156.2KiB\n\t\tXLA Label: constant\n\t\tShape: f64[10000,2]\n\t\t==========================\n\n\tBuffer 10:\n\t\tSize: 24B\n\t\tXLA Label: fusion\n\t\tShape: (f64[2000000,1,100], f64[10000,100,100,2], f64[2000000,1,100])\n\t\t==========================\n\n\tBuffer 11:\n\t\tSize: 24B\n\t\tXLA Label: constant\n\t\tShape: f64[1,1,3]\n\t\t==========================\n\n\tBuffer 12:\n\t\tSize: 24B\n\t\tXLA Label: constant\n\t\tShape: f64[1,1,3]\n\t\t==========================\n\n\tBuffer 13:\n\t\tSize: 16B\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: (f64[2000000,1,100], u8[0])\n\t\t==========================\n\n\tBuffer 14:\n\t\tSize: 16B\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: (f64[2000000,1,100], u8[0])\n\t\t==========================\n\n\tBuffer 15:\n\t\tSize: 16B\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: (f64[1000000,1,100], u8[0])\n\t\t==========================\n\n", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mXlaRuntimeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[11], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mnumpy\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mnp\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m es \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mlinalg\u001b[39m.\u001b[39meigvals(H\u001b[39m.\u001b[39;49mto_dense())\n", - "File \u001b[0;32m~/cola/cola/ops/operator_base.py:191\u001b[0m, in \u001b[0;36mLinearOperator.to_dense\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 188\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mxnp\u001b[39m.\u001b[39meye(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mshape[\u001b[39m-\u001b[39m\u001b[39m2\u001b[39m], \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mshape[\u001b[39m-\u001b[39m\u001b[39m2\u001b[39m], dtype\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdtype,\n\u001b[1;32m 189\u001b[0m device\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdevice) \u001b[39m@\u001b[39m \u001b[39mself\u001b[39m\n\u001b[1;32m 190\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 191\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m \u001b[39m@\u001b[39;49m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mxnp\u001b[39m.\u001b[39;49meye(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mshape[\u001b[39m-\u001b[39;49m\u001b[39m1\u001b[39;49m], \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mshape[\u001b[39m-\u001b[39;49m\u001b[39m1\u001b[39;49m], dtype\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdtype,\n\u001b[1;32m 192\u001b[0m device\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdevice)\n", - "File \u001b[0;32m~/cola/cola/ops/operator_base.py:219\u001b[0m, in \u001b[0;36mLinearOperator.__matmul__\u001b[0;34m(self, X)\u001b[0m\n\u001b[1;32m 217\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_matmat(X\u001b[39m.\u001b[39mreshape(\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m, \u001b[39m1\u001b[39m))\u001b[39m.\u001b[39mreshape(\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m)\n\u001b[1;32m 218\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39mlen\u001b[39m(X\u001b[39m.\u001b[39mshape) \u001b[39m>\u001b[39m\u001b[39m=\u001b[39m \u001b[39m2\u001b[39m:\n\u001b[0;32m--> 219\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_matmat(X)\n\u001b[1;32m 220\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 221\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m\n", - "File \u001b[0;32m~/cola/cola/ops/operators.py:159\u001b[0m, in \u001b[0;36mSum._matmat\u001b[0;34m(self, v)\u001b[0m\n\u001b[1;32m 158\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_matmat\u001b[39m(\u001b[39mself\u001b[39m, v):\n\u001b[0;32m--> 159\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39msum\u001b[39;49m(M \u001b[39m@\u001b[39;49m v \u001b[39mfor\u001b[39;49;00m M \u001b[39min\u001b[39;49;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mMs)\n", - "File \u001b[0;32m~/cola/cola/ops/operators.py:159\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 158\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_matmat\u001b[39m(\u001b[39mself\u001b[39m, v):\n\u001b[0;32m--> 159\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39msum\u001b[39m(M \u001b[39m@\u001b[39;49m v \u001b[39mfor\u001b[39;00m M \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mMs)\n", - "File \u001b[0;32m~/cola/cola/ops/operator_base.py:219\u001b[0m, in \u001b[0;36mLinearOperator.__matmul__\u001b[0;34m(self, X)\u001b[0m\n\u001b[1;32m 217\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_matmat(X\u001b[39m.\u001b[39mreshape(\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m, \u001b[39m1\u001b[39m))\u001b[39m.\u001b[39mreshape(\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m)\n\u001b[1;32m 218\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39mlen\u001b[39m(X\u001b[39m.\u001b[39mshape) \u001b[39m>\u001b[39m\u001b[39m=\u001b[39m \u001b[39m2\u001b[39m:\n\u001b[0;32m--> 219\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_matmat(X)\n\u001b[1;32m 220\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 221\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m\n", - "File \u001b[0;32m~/cola/cola/ops/operators.py:134\u001b[0m, in \u001b[0;36mProduct._matmat\u001b[0;34m(self, v)\u001b[0m\n\u001b[1;32m 132\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_matmat\u001b[39m(\u001b[39mself\u001b[39m, v):\n\u001b[1;32m 133\u001b[0m \u001b[39mfor\u001b[39;00m M \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mMs[::\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m]:\n\u001b[0;32m--> 134\u001b[0m v \u001b[39m=\u001b[39m M \u001b[39m@\u001b[39;49m v\n\u001b[1;32m 135\u001b[0m \u001b[39mreturn\u001b[39;00m v\n", - "File \u001b[0;32m~/cola/cola/ops/operator_base.py:219\u001b[0m, in \u001b[0;36mLinearOperator.__matmul__\u001b[0;34m(self, X)\u001b[0m\n\u001b[1;32m 217\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_matmat(X\u001b[39m.\u001b[39mreshape(\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m, \u001b[39m1\u001b[39m))\u001b[39m.\u001b[39mreshape(\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m)\n\u001b[1;32m 218\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39mlen\u001b[39m(X\u001b[39m.\u001b[39mshape) \u001b[39m>\u001b[39m\u001b[39m=\u001b[39m \u001b[39m2\u001b[39m:\n\u001b[0;32m--> 219\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_matmat(X)\n\u001b[1;32m 220\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 221\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m\n", - "File \u001b[0;32m~/cola/cola/ops/operators.py:134\u001b[0m, in \u001b[0;36mProduct._matmat\u001b[0;34m(self, v)\u001b[0m\n\u001b[1;32m 132\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_matmat\u001b[39m(\u001b[39mself\u001b[39m, v):\n\u001b[1;32m 133\u001b[0m \u001b[39mfor\u001b[39;00m M \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mMs[::\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m]:\n\u001b[0;32m--> 134\u001b[0m v \u001b[39m=\u001b[39m M \u001b[39m@\u001b[39;49m v\n\u001b[1;32m 135\u001b[0m \u001b[39mreturn\u001b[39;00m v\n", - "File \u001b[0;32m~/cola/cola/ops/operator_base.py:219\u001b[0m, in \u001b[0;36mLinearOperator.__matmul__\u001b[0;34m(self, X)\u001b[0m\n\u001b[1;32m 217\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_matmat(X\u001b[39m.\u001b[39mreshape(\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m, \u001b[39m1\u001b[39m))\u001b[39m.\u001b[39mreshape(\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m)\n\u001b[1;32m 218\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39mlen\u001b[39m(X\u001b[39m.\u001b[39mshape) \u001b[39m>\u001b[39m\u001b[39m=\u001b[39m \u001b[39m2\u001b[39m:\n\u001b[0;32m--> 219\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_matmat(X)\n\u001b[1;32m 220\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 221\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m\n", - " \u001b[0;31m[... skipping hidden 10 frame]\u001b[0m\n", - "File \u001b[0;32m~/anaconda3/envs/cola/lib/python3.10/site-packages/jax/_src/interpreters/pxla.py:1229\u001b[0m, in \u001b[0;36mExecuteReplicated.__call__\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 1224\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_handle_token_bufs(\n\u001b[1;32m 1225\u001b[0m results\u001b[39m.\u001b[39mdisassemble_prefix_into_single_device_arrays(\n\u001b[1;32m 1226\u001b[0m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mordered_effects)),\n\u001b[1;32m 1227\u001b[0m results\u001b[39m.\u001b[39mconsume_token())\n\u001b[1;32m 1228\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m-> 1229\u001b[0m results \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mxla_executable\u001b[39m.\u001b[39;49mexecute_sharded(input_bufs)\n\u001b[1;32m 1230\u001b[0m \u001b[39mif\u001b[39;00m dispatch\u001b[39m.\u001b[39mneeds_check_special():\n\u001b[1;32m 1231\u001b[0m out_arrays \u001b[39m=\u001b[39m results\u001b[39m.\u001b[39mdisassemble_into_single_device_arrays()\n", - "\u001b[0;31mXlaRuntimeError\u001b[0m: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 9600000792 bytes.\nBufferAssignment OOM Debugging.\nBufferAssignment stats:\n parameter allocation: 762.94MiB\n constant allocation: 468.8KiB\n maybe_live_out allocation: 762.94MiB\n preallocated temp allocation: 8.94GiB\n preallocated temp fragmentation: 0B (0.00%)\n total allocation: 10.43GiB\n total fragmentation: 763.40MiB (7.15%)\nPeak buffers:\n\tBuffer 1:\n\t\tSize: 2.98GiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/concatenate[dimension=4]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=56\n\t\tXLA Label: fusion\n\t\tShape: f64[10000,100,100,2,2]\n\t\t==========================\n\n\tBuffer 2:\n\t\tSize: 1.49GiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: f64[2000000,1,100]\n\t\t==========================\n\n\tBuffer 3:\n\t\tSize: 1.49GiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: f64[2000000,1,100]\n\t\t==========================\n\n\tBuffer 4:\n\t\tSize: 1.49GiB\n\t\tXLA Label: fusion\n\t\tShape: f64[10000,100,100,2]\n\t\t==========================\n\n\tBuffer 5:\n\t\tSize: 1.49GiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/vmap(jit(_diag))/jit(_where)/transpose[permutation=(0, 2, 1)]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=50\n\t\tXLA Label: fusion\n\t\tShape: f64[10000,10000,2]\n\t\t==========================\n\n\tBuffer 6:\n\t\tSize: 762.94MiB\n\t\tEntry Parameter Subshape: f64[10000,10000]\n\t\t==========================\n\n\tBuffer 7:\n\t\tSize: 762.94MiB\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/add\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=81\n\t\tXLA Label: fusion\n\t\tShape: f64[10000,10000]\n\t\t==========================\n\n\tBuffer 8:\n\t\tSize: 312.5KiB\n\t\tXLA Label: constant\n\t\tShape: f64[10000,2,2]\n\t\t==========================\n\n\tBuffer 9:\n\t\tSize: 156.2KiB\n\t\tXLA Label: constant\n\t\tShape: f64[10000,2]\n\t\t==========================\n\n\tBuffer 10:\n\t\tSize: 24B\n\t\tXLA Label: fusion\n\t\tShape: (f64[2000000,1,100], f64[10000,100,100,2], f64[2000000,1,100])\n\t\t==========================\n\n\tBuffer 11:\n\t\tSize: 24B\n\t\tXLA Label: constant\n\t\tShape: f64[1,1,3]\n\t\t==========================\n\n\tBuffer 12:\n\t\tSize: 24B\n\t\tXLA Label: constant\n\t\tShape: f64[1,1,3]\n\t\t==========================\n\n\tBuffer 13:\n\t\tSize: 16B\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: (f64[2000000,1,100], u8[0])\n\t\t==========================\n\n\tBuffer 14:\n\t\tSize: 16B\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: (f64[2000000,1,100], u8[0])\n\t\t==========================\n\n\tBuffer 15:\n\t\tSize: 16B\n\t\tOperator: op_name=\"jit(laplacian)/jit(main)/vmap(jit(laplacian))/conv_general_dilated[window_strides=(1,) padding=((1, 1),) lhs_dilation=(1,) rhs_dilation=(1,) dimension_numbers=ConvDimensionNumbers(lhs_spec=(0, 1, 2), rhs_spec=(0, 1, 2), out_spec=(0, 1, 2)) feature_group_count=1 batch_group_count=1 precision=None preferred_element_type=None]\" source_file=\"/tmp/ipykernel_185269/3213908131.py\" source_line=54\n\t\tXLA Label: custom-call\n\t\tShape: (f64[1000000,1,100], u8[0])\n\t\t==========================\n\n" - ] - } - ], - "source": [ - "import numpy as np\n", - "es = np.linalg.eigvals(H.to_dense())" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "f50d8182", - "metadata": {}, - "outputs": [ { "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5dde411b0bc14f10bea3b2ac0d886af0", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "(10000, 10000)" + "Running body_fun: 0%| | 0/100 [00:00" ] }, - "execution_count": 18, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "np.sort(e2)[:60]" + "nm = np.stack(np.meshgrid(np.arange(10),np.arange(10)), axis=-1).reshape(-1, 2)\n", + "Enm = 1+nm[:,0]+nm[:,1]\n", + "nm = nm[Enm.argsort()]\n", + "Enm = np.sort(Enm)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "fig, axs = plt.subplots(1, figsize=(5, 3))\n", + "axs.plot(energy_levels[:25], 'o',alpha=0.5, label=\"Numerical\")\n", + "axs.plot(Enm[:25], 'o', color='k',alpha=0.5, label=\"Analytical\")\n", + "plt.legend()\n", + "plt.xlabel(\"index\")\n", + "plt.ylabel(\"Energy Level\")\n", + "plt.show()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "696d5a6a", + "metadata": {}, + "source": [ + "Each point represents an eigenvalue, which corresponds to an energy level of the quantum harmonic oscillator. Up to errors produced by the finite boundary (at [-30,30]) and discretization, we see the familiar $E_{nm} = (1/2+n)+(1/2+m)$ energy levels for the 2d oscillator.\n", + "\n", + "Lastly, we visualize the corresponding eigenfunctions:" ] }, { "cell_type": "code", - "execution_count": 19, - "id": "f2dab6c2", + "execution_count": 10, + "id": "0c74eeef", "metadata": {}, "outputs": [ { "data": { + "image/png": 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", "text/plain": [ - "array([ 0.49999913, 1.49999185, 2.49997236, 3.49992991, 4.49985116,\n", - " 5.49971871, 6.49951162, 7.49920517, 8.49877097, 9.49817688,\n", - " 10.49738703, 11.49636184, 12.49505793, 13.49342818, 14.49142167,\n", - " 15.48898368, 16.48605563, 17.48257509, 18.47847573, 19.47368727])" + "
" ] }, - "execution_count": 19, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "np.sort(es)[:20]" + "import numpy as np\n", + "\n", + "fig, axs = plt.subplots(2, 4, figsize=(8, 4))\n", + "for i,ax in enumerate(axs.flatten()):\n", + " l = 30\n", + " ax.imshow(eigenfunctions[:, i].reshape(N,N)[N//2-l:N//2+l,N//2-l:N//2+l],\n", + " extent=[grid[N//2-l],grid[N//2+l],grid[N//2+l],grid[N//2-l]],\n", + " cmap='RdBu_r', vmin=-0.1, vmax=0.1)\n", + " ax.set_title(r\"$E_{{{}}} ={:.3f}$\".format(\"n,m\",energy_levels[i]))\n", + " ax.axis('off')" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "7a2c2e7f", + "metadata": {}, + "source": [ + "Each subplot represents an eigenfunction, reshaped to 2D and displayed as an image. The eigenfunctions correspond to the wave functions of the quantum harmonic oscillator at different energy levels. The color represents the value of the wave function at each point in the grid. The title of each subplot shows the corresponding eigenvalue, or energy level.\n", + "\n", + "Through this example, we have shown how to solve for the energy levels and wave functions of a quantum harmonic oscillator using the CoLA library." ] }, { - "cell_type": "code", - "execution_count": null, - "id": "fc62f96c", + "attachments": {}, + "cell_type": "markdown", + "id": "c0195343", + "metadata": {}, + "source": [ + "## 🚧 Solving Schrodinger for the Hydrogen atom in 3d 🚧" + ] + }, + { + "cell_type": "markdown", + "id": "f569bc2d", "metadata": {}, - "outputs": [], "source": [] }, { @@ -2994,7 +1709,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -3050,7 +1765,7 @@ "import torch.optim as optim\n", "X = torch.tensor(X, dtype=torch.float32)\n", "y = torch.tensor(y, dtype=torch.long)\n", - "def MLP(k=100):\n", + "def MLP(k=200):\n", " return nn.Sequential(\n", " nn.Linear(2, k), nn.SiLU(),\n", " nn.Linear(k, k), nn.SiLU(),\n", @@ -3063,7 +1778,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "First lets train using 1000 epochs of Adam" + "First lets train using 1000 epochs of SGD and Adam for comparison" ] }, { @@ -3075,22 +1790,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "Epoch [100/500], Loss: 0.20818719267845154\n", - "Epoch [200/500], Loss: 0.0895991101861\n", - "Epoch [300/500], Loss: 0.0725485235452652\n", - "Epoch [400/500], Loss: 0.06491628289222717\n", - "Epoch [500/500], Loss: 0.05936698615550995\n" + "Epoch [100/500], Loss: 0.0317324697971344\n", + "Epoch [200/500], Loss: 0.04851977527141571\n", + "Epoch [300/500], Loss: 0.019817877560853958\n", + "Epoch [400/500], Loss: 0.018510127440094948\n", + "Epoch [500/500], Loss: 0.017751768231391907\n" ] } ], "source": [ - "learning_rate = 2.5\n", + "learning_rate = 1e-2\n", "epochs = 500\n", "\n", "model = MLP()\n", "criterion = nn.CrossEntropyLoss()\n", - "optimizer = optim.SGD(model.parameters(), lr=learning_rate)\n", - "sgd_losses = []\n", + "optimizer = optim.Adam(model.parameters(), lr=learning_rate)\n", + "adam_losses = []\n", "for epoch in range(epochs):\n", " # Forward pass\n", " outputs = model(X)\n", @@ -3101,7 +1816,7 @@ " loss.backward()\n", " optimizer.step()\n", "\n", - " sgd_losses.append(loss.item())\n", + " adam_losses.append(loss.item())\n", " if (epoch + 1) % 100 == 0:\n", " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')\n" ] @@ -3111,7 +1826,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now lets make a 2nd order method using cola, here we will use the Gauss-Newton PSD approximation to the Hessian." + "Now lets make a 2nd order method using cola, here we will use the Gauss-Newton approximation to the Hessian as well the PSD Fisher matrix." ] }, { @@ -3164,18 +1879,12 @@ "source": [ "Now let's construct the Gauss Newton matrix to use as a PSD proxy for the Hessian in Newtons method.\n", "\n", - "$G = \\frac{1}{n}\\sum_i J(x_i)^TJ(x_i)$ where $J\\in \\mathbb{R}^{C \\times p}$ is the Jacobian of the network for a single data point, $p$ is the number of parameters and $C$ is the number of outputs (classes).\n", + "$G = \\sum_i J(x_i)^THJ(x_i)$ where $J\\in \\mathbb{R}^{C \\times p}$ is the Jacobian of the network for a single data point, $p$ is the number of parameters and $C$ is the number of outputs (classes).\n", + "Here $H$ is the Hessian of the loss function with respect to the logits.\n", "\n", - "Note: A better approximation to the full Hessian is to include the Hessian of the loss with respect to the network outputs:\n", - "$G' = \\frac{1}{n}\\sum_i J(x_i)^THJ(x_i)$ and we will also try this.\n", + "Alternatively, we might consider Natural gradient descent (using the Fisher information matrix $F$).\n", "\n", - "If we write the $J(X) \\in \\mathbb{R}^{nC \\times p}$ to be the Jacobian of the network for the entire dataset $X=\\{x_i\\}_{i=1}^n$, we can write\n", - "$G = J(X)^TJ(X)/n$.\n", - "\n", - "and \n", - "$G' = J(X)^THJ(X)$ (we can ignore the $1/n$ scaling because that is already present in the loss function.)\n", - "\n", - "Here we will annotate the matrix as PSD so as to enable more efficient inversion methods, and we will add a small amount of Tikhonov regularization to the diagonal to improve the conditioning." + "Here we will annotate the matrices as PSD so as to enable more efficient inversion methods, and we will add a small amount of Tikhonov regularization to the diagonal to improve the conditioning." ] }, { @@ -3192,14 +1901,14 @@ "def GN(p):\n", " \"\"\"Gauss-Newton approximation to the Hessian\"\"\"\n", " J = cola.ops.Jacobian(flat_fn, p)\n", - " G = J.T @ J/ X.shape[0]\n", - " return cola.PSD(G+1e-4*cola.ops.I_like(G))\n", - "\n", - "def GNH(p):\n", - " J = cola.ops.Jacobian(flat_fn, p)\n", - " H = cola.ops.Hessian(lambda z: criterion(z.reshape(X.shape[0],-1),y)*n_spirals, flat_fn(p))\n", + " loss = lambda z: criterion(z.reshape(X.shape[0],-1),y)*n_spirals\n", + " H = cola.ops.Hessian(loss, flat_fn(p))\n", " G = J.T @ H @ J\n", - " return cola.PSD(G+1e-4*cola.ops.I_like(G))\n", + " return cola.PSD(G+1e-3*cola.ops.I_like(G))\n", + "\n", + "def Fisher(p):\n", + " F = cola.ops.FIM(lambda p: stateless_model(p, X), p)\n", + " return cola.PSD(F+1e-3*cola.ops.I_like(F))\n", "\n", "def flat_loss(params):\n", " return criterion(flat_fn(params).reshape(X.shape[0],-1), y)" @@ -3209,10 +1918,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Below we implement the optimization loop in this stateless manner.\n", - "\n", - "We limit the tolerance and max iterations of the (iterative) solves so as to reduce the computation time. Though we don't do so here, adding a preconditioner (e.g. Jacobi, PivotedCholesky, Nystrom) would substantially accelerate the convergence of the solves.\n", - "Let's compare the two second order methods:" + "We can check the eigenvalues of GN and F to make sure they are not too big. Note that these matrices are already very big (40k x 40k), already far too large to use a dense method." ] }, { @@ -3221,114 +1927,156 @@ "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "/home/marc_f/anaconda3/envs/cola/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n", - "/home/marc_f/cola/cola/torch_fns.py:287: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n", - " return torch.tensor(arr, dtype=dtype, device=device)\n" + "(41805, 41805)\n" ] - }, + } + ], + "source": [ + "print(GN(flat_p).shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's check that the matrices are of a sensible scale via their largest eigenvalues:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Epoch [50/500], Loss: 0.11226876080036163\n", - "Epoch [100/500], Loss: 0.07298079133033752\n", - "Epoch [150/500], Loss: 0.057889148592948914\n", - "Epoch [200/500], Loss: 0.049473535269498825\n", - "Epoch [250/500], Loss: 0.044004883617162704\n" + "GN eigmax: 2.8789467811584473\n", + "Fisher eigmax: 0.5777260065078735\n" ] } ], "source": [ - "# Method 1: Gauss Newton\n", - "p = flat_p.clone()\n", - "\n", - "gn_losses = []\n", - "for epoch in range(epochs//2):\n", - " g = torch.autograd.grad(flat_loss(p), p)[0]\n", - " p -= cola.inverse(GN(p),tol=1e-3, max_iters=20) @ g\n", + "from cola import Auto\n", + "with torch.no_grad():\n", + " print(f\"GN eigmax: {cola.eigmax(GN(flat_p), alg=Auto(tol=1e-2))}\")\n", + " print(f\"Fisher eigmax: {cola.eigmax(Fisher(flat_p), alg=Auto(tol=1e-2))}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Below we implement the optimization loop in this stateless manner.\n", "\n", - " loss = flat_loss(p)\n", - " gn_losses.append(loss.item())\n", - " if (epoch+1) % 50 == 0:\n", - " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')" + "We limit the tolerance and max iterations of the (iterative) solves so as to reduce the computation time. Though we don't do so here, adding a preconditioner (e.g. Jacobi, PivotedCholesky, Nystrom) would substantially accelerate the convergence of the solves.\n", + "Let's compare the two second order methods:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Epoch [5/500], Loss: 0.6611531376838684\n", - "Epoch [10/500], Loss: 0.30941057205200195\n", - "Epoch [15/500], Loss: 0.15940934419631958\n", - "Epoch [20/500], Loss: 0.0875774547457695\n", - "Epoch [25/500], Loss: 0.05331209674477577\n", - "Epoch [30/500], Loss: 0.035734958946704865\n", - "Epoch [35/500], Loss: 0.02611885406076908\n", - "Epoch [40/500], Loss: 0.020912107080221176\n", - "Epoch [45/500], Loss: 0.018345844000577927\n", - "Epoch [50/500], Loss: 0.017183756455779076\n", - "Epoch [55/500], Loss: 0.01675541140139103\n", - "Epoch [60/500], Loss: 0.016480550169944763\n", - "Epoch [65/500], Loss: 0.016344835981726646\n", - "Epoch [70/500], Loss: 0.016253307461738586\n", - "Epoch [75/500], Loss: 0.016203129664063454\n", - "Epoch [80/500], Loss: 0.01616615056991577\n", - "Epoch [85/500], Loss: 0.016142897307872772\n", - "Epoch [90/500], Loss: 0.016128169372677803\n", - "Epoch [95/500], Loss: 0.016118457540869713\n", - "Epoch [100/500], Loss: 0.016112178564071655\n" + "Epoch [10/500], Loss: 0.3142242431640625\n", + "Epoch [20/500], Loss: 0.08766728639602661\n", + "Epoch [30/500], Loss: 0.03646586090326309\n", + "Epoch [40/500], Loss: 0.022148877382278442\n", + "Epoch [50/500], Loss: 0.018077930435538292\n", + "Epoch [60/500], Loss: 0.01689857430756092\n", + "Epoch [70/500], Loss: 0.0165044367313385\n", + "Epoch [80/500], Loss: 0.016341200098395348\n", + "Epoch [90/500], Loss: 0.016260594129562378\n", + "Epoch [100/500], Loss: 0.016215266659855843\n" ] } ], "source": [ - "# Method 2: Hessian weighted Gauss Newton\n", + "from cola import Auto, CG\n", + "# Method 1: Hessian weighted Gauss Newton\n", "p = flat_p.clone()\n", "\n", "gnh_losses = []\n", "for epoch in range(epochs//5):\n", - " g = torch.autograd.grad(flat_loss(p), p)[0]\n", - " p -= cola.inverse(GNH(p),tol=1e-3, max_iters=20) @ g\n", + " with torch.no_grad(): # don't pay extra memory for recording the computation graph\n", + " g = torch.func.grad(flat_loss)(p)\n", + " p -= cola.inv(GN(p),alg=Auto(tol=1e-3, max_iters=20)) @ g\n", + " loss = flat_loss(p)\n", + " gnh_losses.append(loss.item())\n", + " if (epoch+1) % 10 == 0:\n", + " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch [10/500], Loss: 0.08653374761343002\n", + "Epoch [20/500], Loss: 0.023038014769554138\n", + "Epoch [30/500], Loss: 0.018084317445755005\n", + "Epoch [40/500], Loss: 0.0170273520052433\n", + "Epoch [50/500], Loss: 0.016643397510051727\n", + "Epoch [60/500], Loss: 0.01646246947348118\n", + "Epoch [70/500], Loss: 0.016362380236387253\n", + "Epoch [80/500], Loss: 0.016300752758979797\n", + "Epoch [90/500], Loss: 0.016259804368019104\n", + "Epoch [100/500], Loss: 0.016231024637818336\n" + ] + } + ], + "source": [ + "# Method 2: Natural gradient descent\n", + "p = flat_p.clone()\n", + "\n", + "natural_gradient_losses = []\n", + "for epoch in range(epochs//5):\n", + " with torch.no_grad(): # don't pay extra memory for recording the computation graph\n", + " g = torch.func.grad(flat_loss)(p)\n", + " p -= .5*cola.inv(Fisher(p),alg=Auto(tol=1e-3, max_iters=20)) @ g\n", "\n", - " loss = flat_loss(p)\n", - " gnh_losses.append(loss.item())\n", - " if (epoch+1) % 5 == 0:\n", - " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')" + " loss = flat_loss(p)\n", + " natural_gradient_losses.append(loss.item())\n", + " if (epoch+1) % 10 == 0:\n", + " print(f'Epoch [{epoch + 1}/{epochs}], Loss: {loss.item()}')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can see that the 2nd order methods converges much faster per iteration than first order gradient descent, with the Hessian weighted Gauss Newton performing the best. Try playing around with the gradient descent learning rate to see." + "Performing solves with these matrices for the 2nd order methods, we see that the optimization converges much faster per iteration than Adam." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -3338,10 +2086,10 @@ } ], "source": [ - "# choose some nice colors for the plot\n", - "plt.plot(gn_losses, label='Gauss-Newton', color='darkgreen')\n", - "plt.plot(gnh_losses, label='Gauss-Newton-Hessian', color='darkblue')\n", - "plt.plot(sgd_losses, label='Gradient Descent', color='brown')\n", + "plt.plot(adam_losses, label='Adam', color='brown')\n", + "plt.plot(natural_gradient_losses, label='Natural Gradient Descent', color='darkgreen')\n", + "plt.plot(gnh_losses, label='Gauss-Newton Method', color='darkblue')\n", + "\n", "plt.xlabel('iterations')\n", "plt.ylabel('loss')\n", "plt.yscale('log')\n", @@ -3350,12 +2098,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -3389,7 +2137,8 @@ " plt.show()\n", "\n", "# Plotting the decision boundaries\n", - "plot_decision_boundary(model, X, y)" + "from functools import partial\n", + "plot_decision_boundary(partial(stateless_model,p), X, y)" ] }, { @@ -3642,7 +2391,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -3807,7 +2556,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -3826,18 +2575,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now we will use Lanczos to compute an approximation to the Hessian eigenvalues. Setting the maximum iterations to $30$ in order for the computation to only take ~15 minutes, but with more time we can get more eigenvalues." + "Now we will use Lanczos to compute the largest 10 eigenvalues. Setting the maximum iterations to $30$ in order for the computation to only take ~15 minutes, but with more time we can get more eigenvalues." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Non keyed randn used. To be deprecated soon.\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "92483e6f20e24e029f64eca4d76558ee", + "model_id": "ec7c068136e447a29d8a3cb697f12c07", "version_major": 2, "version_minor": 0 }, @@ -3850,24 +2606,24 @@ } ], "source": [ - "eigs, eigvecs = cola.eig(H, max_iters=30, tol=1e-5, pbar=True)" + "eigs, eigvecs = cola.eig(H, 10, which='LM',alg=cola.Lanczos(max_iters=30, tol=1e-3, pbar=True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In this case we have computed the ritz values, which are good approximations for the eigenvalues for the largest and smallest magnitude eigenvalues. We can see the spectrum below." + "We can see the spectrum below." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -3878,7 +2634,7 @@ ], "source": [ "import matplotlib.pyplot as plt\n", - "plt.plot(eigs.cpu().data.numpy()/200)\n", + "plt.plot(eigs.cpu().data.numpy())\n", "plt.yscale('log')\n", "plt.ylabel('eigenvalues')\n", "plt.xlabel('index')\n", @@ -3908,13 +2664,6 @@ "This means that we can vmap over them, jit functions with them, as well as other operations." ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -3941,20 +2690,28 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:jax._src.xla_bridge:CUDA backend failed to initialize: Found CUDA version 12000, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], "source": [ "from jax import jit\n", "import numpy as np\n", "import jax.numpy as jnp\n", - "import jax.config as config\n", "# set cpu\n", - "config.update(\"jax_platform_name\", \"cpu\")\n", + "import jax\n", + "jax.config.update('jax_platform_name', 'cpu')\n", "import cola\n", "\n", "# construct a linear operator\n", "A = jnp.array(np.random.randn(2, 2))\n", "B = cola.SelfAdjoint(cola.lazify(A.T@A+ 1e-4*jnp.eye(2)))\n", - "D = cola.SelfAdjoint(cola.diag(jnp.array([3.,0.2, 1.])))\n", + "D = cola.SelfAdjoint(cola.ops.Diagonal(jnp.array([3.,0.2, 1.])))\n", "K = cola.kron(B,D)" ] }, @@ -3967,30 +2724,22 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/marc_f/anaconda3/envs/cola/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpeptest.py:311: BeartypeDecorHintPep585DeprecationWarning: PEP 484 type hint typing.Callable deprecated by PEP 585. This hint is scheduled for removal in the first Python version released after October 5th, 2025. To resolve this, import this hint from \"beartype.typing\" rather than \"typing\". For further commentary and alternatives, see also:\n", - " https://beartype.readthedocs.io/en/latest/api_roar/#pep-585-deprecations\n", - " warn(\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "error: 3.7252903e-09\n" + "error: 6.3414245e-07\n" ] } ], "source": [ + "from cola import Auto\n", "v = jnp.array(np.random.randn(6))\n", - "K_half_v = cola.sqrt(K, tol=1e-4)@v\n", - "Kv = cola.sqrt(K, tol=1e-4)@K_half_v\n", + "K_half_v = cola.sqrt(K)@v\n", + "Kv = cola.sqrt(K)@K_half_v\n", "print(\"error:\",jnp.linalg.norm(Kv - K@v))" ] }, @@ -4003,34 +2752,29 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[ 0.01154765 -0.10519305 0.08695581 0.12265506 0.49678737 -0.61266834]\n", - "[ 0.01154772 -0.10519368 0.08695581 0.12265505 0.49678725 -0.61266834]\n" + "[ 0.13759953+0.j -0.94336665+0.j 0.3768798 +0.j -0.16725242+0.j\n", + " -0.26825097+0.j 0.15196525+0.j]\n", + "[ 0.13759911+0.j -0.94336635+0.j 0.3768798 +0.j -0.16725181+0.j\n", + " -0.26825133+0.j 0.15196525+0.j]\n" ] } ], "source": [ "@jit\n", "def sqrt_mvm(K, v):\n", - " return cola.sqrt(K, tol=1e-4)@v\n", + " return cola.sqrt(K, Auto(tol=1e-4))@v\n", "\n", "print(sqrt_mvm(K,v))\n", "print(sqrt_mvm(4*K,v)/2)" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -4047,23 +2791,23 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([[1.8414, 0.6225, 0.8826, 0.0000, 0.0000],\n", - " [0.6225, 2.4913, 1.5865, 0.0000, 0.0000],\n", - " [0.8826, 1.5865, 3.7751, 0.0000, 0.0000],\n", - " [0.0000, 0.0000, 0.0000, 1.8414, 0.6225],\n", - " [0.0000, 0.0000, 0.0000, 0.6225, 2.4913]])\n", - "tensor([[1.8414, 0.0000, 0.0000, 0.0000, 0.0000],\n", - " [0.0000, 2.4913, 0.0000, 0.0000, 0.0000],\n", - " [0.0000, 0.0000, 3.7751, 0.0000, 0.0000],\n", - " [0.0000, 0.0000, 0.0000, 1.8414, 0.0000],\n", - " [0.0000, 0.0000, 0.0000, 0.0000, 2.4913]])\n" + "tensor([[4.3080, 2.7321, 1.8498, 0.0000, 0.0000],\n", + " [2.7321, 5.7340, 3.7580, 0.0000, 0.0000],\n", + " [1.8498, 3.7580, 6.7027, 0.0000, 0.0000],\n", + " [0.0000, 0.0000, 0.0000, 4.3080, 2.7321],\n", + " [0.0000, 0.0000, 0.0000, 2.7321, 5.7340]])\n", + "tensor([[4.3080, 0.0000, 0.0000, 0.0000, 0.0000],\n", + " [0.0000, 5.7340, 0.0000, 0.0000, 0.0000],\n", + " [0.0000, 0.0000, 6.7027, 0.0000, 0.0000],\n", + " [0.0000, 0.0000, 0.0000, 4.3080, 0.0000],\n", + " [0.0000, 0.0000, 0.0000, 0.0000, 5.7340]])\n" ] } ], @@ -4076,10 +2820,10 @@ " X = cola.lazify(X)\n", " Y = X@X.T\n", " Y = cola.PSD(Y+cola.ops.I_like(Y))\n", - " D = cola.PSD(cola.diag(torch.linspace(0.1,1,2)))\n", + " D = cola.PSD(cola.ops.Diagonal(torch.linspace(0.1,1,2)))\n", " W = cola.ops.BlockDiag(Y,D, multiplicities=[2, 1])\n", " diag_W = cola.diag(W)\n", - " return W, cola.PSD(cola.diag(diag_W))\n", + " return W, cola.PSD(cola.ops.Diagonal(diag_W))\n", "\n", "W,diag_W = construct_complicated_linops(torch.randn(3,3))\n", "print(W[:5,:5].to_dense())\n", @@ -4095,13 +2839,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "def perform_operations(W,D,v):\n", " P = cola.pow(D, -0.5) # D^{-1/2}\n", - " y = P@cola.inverse(P@W@P,tol=1e-4)@P@v\n", + " y = P@cola.inv(P@W@P,Auto(tol=1e-4))@P@v\n", " return y " ] }, @@ -4116,7 +2860,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -4133,14 +2877,14 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(12, 12) \n", + "(12, 12) \n", "(12, 12) \n" ] } @@ -4159,7 +2903,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -4168,7 +2912,7 @@ "torch.Size([3, 12])" ] }, - "execution_count": 26, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -4186,7 +2930,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -4213,7 +2957,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -4233,23 +2977,6 @@ "except RuntimeError as e:\n", " print(\"raised exception:\", e)" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Gradients and PyTrees (jax example)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] } ], "metadata": { diff --git a/docs/notebooks/colabs/tricky_bits.ipynb b/docs/notebooks/colabs/tricky_bits.ipynb new file mode 100644 index 00000000..3b118c4c --- /dev/null +++ b/docs/notebooks/colabs/tricky_bits.ipynb @@ -0,0 +1,83 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First install the repo and requirements." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%pip --quiet install git+https://github.com/wilson-labs/cola.git" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Sharp Bits\n", + "As you have seen in the previous sections CoLA has many useful features for doing large-scale linear algebra operations such as being compatible with PyTorch and JAX or automatically selecting an efficient algorithm for a problem through dispatch. However, all these features come with some unintuitive consequences which we now explain.\n", + "\n", + "## Balancing JAX and PyTorch differences\n", + "\n", + "### Dynamic slicing\n", + "In CoLA we build code that runs in both `JAX` and `PyTorch` and therefore we must adhere to several particular rules from each of the frameworks. For example, when using `jit` or `vmap` on `JAX` we cannot return variable sized arrays. This has the negative consequence that iterative algorithms like Lanczos or Arnoldi would have memory requirements proportional to the `max_iters`. This is the case as even when the algorithm terminates much earlier than `max_iters`, we cannot return `array[:idx]` where `idx` stands for the current iteration.\n", + "\n", + "### GPU allocation\n", + "Additionally, `PyTorch` and `JAX` take completely different strategies for allocating arrays into a GPU. `PyTorch` expects that the users will explicitly allocate an array via `array.to(device)` or `array.cuda()` where, by default, the `array` would be created on CPU. In contrast, `JAX` implicitly allocates any `array` into a GPU if a GPU happens to be available. In principle this is not a huge problem for CoLA, as any `LinearOperator` would state that it is in the device of the `parameters` / `arrays` that originated it. However, the situation becomes more involved when we combine `LinearOperators` that might not be in the same device. For example, imagine that you have `D = cola.ops.Diagonal(torch.ones(N).cuda())`, `L = cola.ops.Tridiagonal(torch.ones(N-1), torch.ones(N), torch.ones(N-1))` and that you want to combine both as `A = 3 * D + L`. This would not through any error, but as soon as you do `A @ v` you would get a device allocation mismatch. Fortunately, in CoLA we can easily circumvent this issue by using `A.to(device)` as that would pass each of the paramters of the `LinearOperator`, namely the `3` and the four `ones` `arrays` into the device of our choice.\n", + "\n", + "## Iterative algorithms\n", + "\n", + "### Algorithm's parameters and defaults\n", + "CoLA has several iterative algorithms like CG, GMRES, Lanczos, Arnoldi, LOBPCG or SLQ. This means that each algorithm has its own set of parameters which might not have the same interpretation for each of them. For example, in the context of CG, the tolerance parameter `tol` is about how small the residual of the linear system is, $||A x_t - b||$. However, in GMRES, `tol` refers to the tolerance used as stopping criteria used in the inner call to Arnoldi and therefore, in that context, `tol` indicates how good is the Arnoldi decomposition of the operator. It is thus important to read the [algorithms API](https://cola.readthedocs.io/en/latest/package/cola.algorithms.html) to understand the relevance of each parameter. \n", + "\n", + "Moreover, we have selected a set of defaults for each algorithm that have shown good performance across the applications that were we have used CoLA. Yet, a good default for an algorithm in a certain application might not translate into a good default for another application. For example, when training Neural PDEs it is common to set the tolerance of CG to `tol=1e-7`. In contrast, when using CG to train Gaussian processes the tolerances used are on the order of `tol=1` and asking for a lower tolerance does not result in any clear performance benefit.\n", + "\n", + "### Relative tolerances\n", + "Currently CoLA uses absolute tolerances as stopping criteria. This is not ideal as setting a small tolerance in a large problem might be an unreasonable stopping criteria to meet and therefore we are guaranteeing that the algorithm will always run its `max_iters`. We are on the process of changing the tolerances to a relative criteria.\n", + "\n", + "### Conditioning of linear systems\n", + "The number of iterations that it takes for an iterative solver like CG or GMRES usually scales with the conditioning of the underlying matrix. This means that even for two matrices of the same size, if one has a bad condition number and the other does not, then for the former matrix the iterative solver would take many iterations to converge and just a few for the latter case. \n", + "\n", + "## Tracking dispatch\n", + "Right now it is not immediate know what dispatch rules or algorithms are being called on an complex operator that combines different structures at different sizes. For example, when decomposing the operator one part might call a dense solver while the remaining parts call an iterative solver. We already have a preliminary tracker that logs which dispatch rules are called but we are improving this tool.\n", + "\n", + "## Coming Soon\n", + "Below is a list of features that we are currently working on incorporating.\n", + "#### Dtype allocation\n", + "Just as we do `A.to(device)` to place the `LinearOperator` into the `device` of our choice, we are also currently working on having the `to()` method also place the `LinearOperator` into the `dtype` of our choice in order to match the behaviour that we have in `PyTorch`. \n", + "\n", + "### Changing algorithm's defaults\n", + "Given that a good default for an algorithm in a certain application might not be a good default for another, we are planning on adding a feature to allow the user to change the defaults of certain algorithms to a different value. We are thinking of exploring something similar to `matplotlib.pyplot.rc`." + ] + } + ], + "metadata": { + "accelerator": "GPU", + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/notebooks/colabs/worksheet.ipynb b/docs/notebooks/colabs/worksheet.ipynb index bd7343b9..6066af27 100644 --- a/docs/notebooks/colabs/worksheet.ipynb +++ b/docs/notebooks/colabs/worksheet.ipynb @@ -246,7 +246,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Having a PSD `LinearOperator` opens up the possiblity in CoLA to dispatch our favorite algorithm: CG. As we all know, CG has a couple of hyperparameters like the tolerance (set it to $10^{-10}$) and the max number of iterations (set it to 10K). _Hint_: Pass `method`, `tol` and `max_iters` to the function that you used in the previous exercise. To see what is going on under the hood, take a look at the [source code](https://github.com/wilson-labs/cola/blob/main/cola/linalg/inv.py#L80)." + "Having a PSD `LinearOperator` opens up the possibility in CoLA to dispatch our favorite algorithm: CG. As we all know, CG has a couple of hyperparameters like the tolerance (set it to $10^{-10}$) and the max number of iterations (set it to 10K). _Hint_: Pass `method`, `tol` and `max_iters` to the function that you used in the previous exercise. To see what is going on under the hood, take a look at the [source code](https://github.com/wilson-labs/cola/blob/main/cola/linalg/inv.py#L80)." ] }, { diff --git a/docs/package/cola.algorithms.rst b/docs/package/cola.algorithms.rst deleted file mode 100644 index df3403aa..00000000 --- a/docs/package/cola.algorithms.rst +++ /dev/null @@ -1,7 +0,0 @@ -Algorithms (low-level interface) -================================== - -.. automodule:: cola.algorithms - :members: - :show-inheritance: - :member-order: bysource diff --git a/docs/package/cola.decompositions.rst b/docs/package/cola.decompositions.rst index 72db6da2..72970fe1 100644 --- a/docs/package/cola.decompositions.rst +++ b/docs/package/cola.decompositions.rst @@ -1,7 +1,7 @@ Decompositions ================ -.. automodule:: cola.decompositions +.. automodule:: cola.linalg.decompositions :members: :show-inheritance: - :member-order: bysource + :member-order: bysource \ No newline at end of file diff --git a/docs/package/cola.linalg.rst b/docs/package/cola.linalg.rst index c582751a..e0a3483e 100644 --- a/docs/package/cola.linalg.rst +++ b/docs/package/cola.linalg.rst @@ -1,7 +1,169 @@ -Linear Algebra (high-level interface) +Linear Algebra ===================================== -.. automodule:: cola.linalg +Inverses & Solves +----------------- + +.. autofunction:: cola.linalg.inv +.. autofunction:: cola.linalg.solve + +Algorithms +~~~~~~~~~~ + + .. autoclass:: cola.linalg.Auto + :members: + :show-inheritance: + * if A is PSD and small, uses Cholesky + * if A is not PSD and small, uses LU + * if A is PSD and large, uses CG + * if A is not PSD and large, uses GMRES + + .. autoclass:: cola.linalg.CG + :members: + :show-inheritance: + .. autoclass:: cola.linalg.GMRES + :members: + :show-inheritance: + .. autoclass:: cola.linalg.LU + :members: + :show-inheritance: + .. autoclass:: cola.linalg.Cholesky + :members: + :show-inheritance: + + +Eigenvalues and Eigenvectors +----- + +.. autofunction:: cola.linalg.eig + +Algorithms +~~~~~~~~~~ + + .. autoclass:: cola.linalg.Auto + :members: + :show-inheritance: + * if A is Hermitian and small, uses Eigh + * if A is not Hermitian and small, use Eig + * if A is Hermitian and large, uses Lanczos + * if A is not Hermitian and large, uses Arnoldi + + .. autoclass:: cola.linalg.Arnoldi + :members: + :show-inheritance: + .. autoclass:: cola.linalg.Lanczos + :members: + :show-inheritance: + .. autoclass:: cola.linalg.Eig + :members: + :show-inheritance: + .. autoclass:: cola.linalg.Eigh + :members: + :show-inheritance: + .. autoclass:: cola.linalg.PowerIteration + :members: + :show-inheritance: + + +Matrix Functions: exp, log, sqrt, isqrt, etc. +---------------------------------------------- + +.. autofunction:: cola.linalg.exp +.. autofunction:: cola.linalg.log +.. autofunction:: cola.linalg.sqrt +.. autofunction:: cola.linalg.isqrt +.. autofunction:: cola.linalg.pow +.. autofunction:: cola.linalg.apply_unary + +Algorithms +~~~~~~~~~~ + + .. autoclass:: cola.linalg.Auto + :members: + :show-inheritance: + * if A is Hermitian and small, uses Eigh + * if A is not Hermitian and small, uses Eig + * if A is Hermitian and large, uses Lanczos + * if A is not Hermitian and large, uses Arnoldi + + .. autoclass:: cola.linalg.Lanczos + :members: + :show-inheritance: + .. autoclass:: cola.linalg.Arnoldi + :members: + :show-inheritance: + .. autoclass:: cola.linalg.Eig + :members: + :show-inheritance: + .. autoclass:: cola.linalg.Eigh + :members: + :show-inheritance: + +Trace, Diagonal, Frobenius Norm +-------------------------------- + +.. autofunction:: cola.linalg.trace +.. autofunction:: cola.linalg.diag +.. autofunction:: cola.linalg.norm + +Algorithms +~~~~~~~~~~ + + .. autoclass:: cola.linalg.Auto + :no-index: :members: :show-inheritance: - :member-order: bysource + * if :math:`\tfrac{1}{\sqrt{10n}} < \epsilon` use Hutch :math:`O(\tfrac{1}{\delta^2})` + * otherwise use Exact :math:`O(n)` + + .. autoclass:: cola.linalg.Hutch + :members: + .. autoclass:: cola.linalg.Exact + :members: + .. autoclass:: cola.linalg.HutchPP + :members: + +Log Determinants +----------------- + +.. autofunction:: cola.linalg.logdet +.. autofunction:: cola.linalg.slogdet + +Log Algs +~~~~~~~~~~ + + .. autoclass:: cola.linalg.Auto + :members: + :show-inheritance: + * if A is PSD and small, uses Cholesky + * if A is not PSD and small, uses LU + * if A is PSD and large, uses Lanczos + * if A is not PSD and large, uses Arnoldi + + .. autoclass:: cola.linalg.Lanczos + :members: + :show-inheritance: + .. autoclass:: cola.linalg.Arnoldi + :members: + :show-inheritance: + .. autoclass:: cola.linalg.Cholesky + :members: + :show-inheritance: + .. autoclass:: cola.linalg.LU + :members: + :show-inheritance: + +Trace Algs +~~~~~~~~~~ + + .. autoclass:: cola.linalg.Auto + :members: + * if :math:`\tfrac{1}{\sqrt{10n}} < \epsilon` use Hutch :math:`O(\tfrac{1}{\delta^2})` + * otherwise use Exact :math:`O(n)` + + .. autoclass:: cola.linalg.Hutch + :members: + .. autoclass:: cola.linalg.Exact + :members: + .. autoclass:: cola.linalg.HutchPP + :members: diff --git a/setup.py b/setup.py index 30474225..3274ca82 100644 --- a/setup.py +++ b/setup.py @@ -31,8 +31,9 @@ def find_version(*file_paths): install_requires=[ 'scipy', 'tqdm>=4.38', - 'cola-plum-dispatch==0.1.1', + 'cola-plum-dispatch==0.1.4', 'optree', + 'pytreeclass', ], extras_require={ 'dev': ['pytest', 'pytest-cov', 'setuptools_scm', 'pre-commit'], diff --git a/tests/algorithms/test_arnoldi.py b/tests/algorithms/test_arnoldi.py index b890c44d..be5a90a0 100644 --- a/tests/algorithms/test_arnoldi.py +++ b/tests/algorithms/test_arnoldi.py @@ -3,9 +3,9 @@ from cola.ops import Product from cola.ops import Dense from cola.fns import lazify -from cola.algorithms.arnoldi import get_arnoldi_matrix -from cola.algorithms.arnoldi import arnoldi_eigs -from cola.algorithms.arnoldi import run_householder_arnoldi +from cola.linalg.decompositions.arnoldi import get_arnoldi_matrix +from cola.linalg.decompositions.arnoldi import arnoldi_eigs +from cola.linalg.decompositions.arnoldi import run_householder_arnoldi from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends from cola.utils.test_utils import generate_spectrum, generate_pd_from_diag diff --git a/tests/algorithms/test_cg.py b/tests/algorithms/test_cg.py index 5f8b831a..b77e5c1d 100644 --- a/tests/algorithms/test_cg.py +++ b/tests/algorithms/test_cg.py @@ -2,14 +2,13 @@ from cola.fns import lazify from cola.ops import Identity from cola.ops import Diagonal -from cola.algorithms.preconditioners import NystromPrecond -from cola.algorithms.cg import run_batched_cg -from cola.algorithms.cg import run_cg +from cola.linalg.preconditioning.preconditioners import NystromPrecond +from cola.linalg.inverse.cg import run_batched_cg +from cola.linalg.inverse.cg import run_cg from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends, tracing_backends from cola.utils.test_utils import generate_spectrum, generate_pd_from_diag from cola.utils.test_utils import generate_diagonals -# from tests.algorithms.test_lanczos import construct_tridiagonal _tol = 1e-7 diff --git a/tests/algorithms/test_gmres.py b/tests/algorithms/test_gmres.py index 8024dbf0..e1528667 100644 --- a/tests/algorithms/test_gmres.py +++ b/tests/algorithms/test_gmres.py @@ -2,9 +2,10 @@ from cola.ops import Identity from cola.ops import Diagonal from cola.fns import lazify -from cola.linalg.inv import inv -from cola.algorithms.gmres import gmres -from cola.algorithms.gmres import gmres_fwd +from cola.linalg.inverse.inv import inv +from cola.linalg.inverse.gmres import GMRES +from cola.linalg.inverse.gmres import gmres +from cola.linalg.inverse.gmres import gmres_fwd from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends, tracing_backends from cola.utils.test_utils import generate_spectrum, generate_pd_from_diag @@ -64,7 +65,7 @@ def test_gmres_random(backend): soln = xnp.solve(A, rhs) max_iters, tol = A.shape[0] - 5, 1e-8 - A_inv = inv(lazify(A), max_iters=max_iters, tol=tol, method="iterative") + A_inv = inv(lazify(A), GMRES(max_iters=max_iters, tol=tol)) approx = A_inv @ rhs rel_error = relative_error(soln, approx) diff --git a/tests/algorithms/test_iram.py b/tests/algorithms/test_iram.py index fd9683ae..b694c112 100644 --- a/tests/algorithms/test_iram.py +++ b/tests/algorithms/test_iram.py @@ -1,6 +1,6 @@ import numpy as np from cola.fns import lazify -from cola.algorithms.iram import iram +from cola.linalg.eig.iram import iram from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends from cola.utils.test_utils import generate_spectrum, generate_pd_from_diag diff --git a/tests/algorithms/test_lanczos.py b/tests/algorithms/test_lanczos.py index bba4b287..cd44bdda 100644 --- a/tests/algorithms/test_lanczos.py +++ b/tests/algorithms/test_lanczos.py @@ -1,9 +1,8 @@ import numpy as np from cola.fns import lazify from cola.ops import Dense -from cola.algorithms.lanczos import lanczos -from cola.algorithms.lanczos import lanczos_eigs -from cola.algorithms.lanczos import lanczos_max_eig +from cola.linalg.decompositions.lanczos import lanczos +from cola.linalg.decompositions.lanczos import lanczos_eigs from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends, tracing_backends from cola.utils.test_utils import generate_spectrum, generate_pd_from_diag @@ -118,14 +117,11 @@ def test_lanczos_random(backend): alpha, beta = T.alpha[:, :, 0], T.beta[:, :, 0] Q, T = Q.to_dense(), xnp.vmap(T.__class__.to_dense)(T) - max_eig = lanczos_max_eig(B, rhs[:, 0], B.shape[-1]) - assert idx == idx_np comparisons = [ (T_np, T), (Q_np, Q), (Q @ T, A @ Q), - (xnp.array(1., dtype, None), max_eig), (alpha_np, alpha[0]), (beta_np, beta[0]), ] diff --git a/tests/algorithms/test_lobpcg.py b/tests/algorithms/test_lobpcg.py index 9896fbde..485a95f7 100644 --- a/tests/algorithms/test_lobpcg.py +++ b/tests/algorithms/test_lobpcg.py @@ -1,6 +1,6 @@ import numpy as np from cola.fns import lazify -from cola.algorithms.lobpcg import lobpcg +from cola.linalg.eig.lobpcg import lobpcg from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends from cola.utils.test_utils import generate_spectrum, generate_pd_from_diag diff --git a/tests/algorithms/test_precond.py b/tests/algorithms/test_precond.py index 336bdcc4..f530d6e6 100644 --- a/tests/algorithms/test_precond.py +++ b/tests/algorithms/test_precond.py @@ -1,10 +1,10 @@ from cola.fns import lazify -from cola.algorithms.preconditioners import get_nys_approx -from cola.algorithms.preconditioners import select_rank_adaptively -from cola.algorithms.preconditioners import NystromPrecond -from cola.algorithms.preconditioners import AdaNysPrecond -from cola.algorithms.preconditioners import sqrt -from cola.algorithms.preconditioners import inverse +from cola.linalg.preconditioning.preconditioners import get_nys_approx +from cola.linalg.preconditioning.preconditioners import select_rank_adaptively +from cola.linalg.preconditioning.preconditioners import NystromPrecond +from cola.linalg.preconditioning.preconditioners import AdaNysPrecond +from cola.linalg.preconditioning.preconditioners import sqrt +from cola.linalg.preconditioning.preconditioners import inverse from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends from cola.utils.test_utils import generate_spectrum, generate_pd_from_diag, construct_e_vec diff --git a/tests/algorithms/test_stochastic_lanczos_quad.py b/tests/algorithms/test_stochastic_lanczos_quad.py index b4ddc9c2..f236e12a 100644 --- a/tests/algorithms/test_stochastic_lanczos_quad.py +++ b/tests/algorithms/test_stochastic_lanczos_quad.py @@ -1,6 +1,6 @@ import numpy as np from cola.ops import Diagonal -from cola.algorithms import stochastic_lanczos_quad +from cola.linalg.tbd.slq import stochastic_lanczos_quad from cola.fns import lazify from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends diff --git a/tests/linalg/test_diagonal.py b/tests/linalg/test_diagonal.py index 537c23ea..4936df26 100644 --- a/tests/linalg/test_diagonal.py +++ b/tests/linalg/test_diagonal.py @@ -1,8 +1,11 @@ -from cola import kron +from cola.fns import kron from cola.ops import Dense, LinearOperator, Identity, Diagonal -from cola.algorithms import exact_diag, approx_diag -from cola.linalg import diag, trace +from cola.linalg.trace.diagonal_estimation import exact_diag +from cola.linalg.trace.diagonal_estimation import hutchinson_diag_estimate as approx_diag +from cola.linalg.trace.diag_trace import trace +from cola.linalg.trace.diag_trace import diag from cola.utils.test_utils import get_xnp, parametrize, relative_error +from cola.linalg.trace.diagonal_estimation import Exact, Hutch from cola.backends import all_backends @@ -11,7 +14,7 @@ def test_exact_diag(backend): xnp = get_xnp(backend) A = Dense(xnp.array([[1, 2, 3], [4, 5, 6], [7, 8, 9.]], dtype=xnp.float32, device=None)) for u in [-2, -1, 0, 1, 2]: - d1, _ = exact_diag(A, u) + d1 = exact_diag(A, u, bs=100) d2 = xnp.diag(A.to_dense(), u) assert relative_error(d1, d2) < 1e-5 @@ -35,7 +38,7 @@ def test_composite_diag(backend): B = Dense(xnp.array([[1, 2, 3], [4, 5, 6], [7, 8, 9.]], dtype=dtype, device=None)) C = Dense(-xnp.ones((3, 3), dtype=dtype, device=None)) M = kron(A, B + C) - d1 = diag(M) + d1 = diag(M, k=0, alg=Exact(bs=111)) d2 = xnp.diag(M.to_dense()) assert relative_error(d1, d2) < 1e-5 @@ -47,8 +50,12 @@ def test_large_trace(backend, method): key = xnp.PRNGKey(21) array = xnp.randn(*(210, 210), dtype=dtype, device=None, key=key) A = Dense(array) - A = LinearOperator(A.dtype, A.shape, A._matmat) - d1 = trace(A, method=method, tol=2e-2) + # A = LinearOperator(A.dtype, A.shape, A._matmat) + if method == "exact": + alg = Exact() + elif method == "approx": + alg = Hutch(tol=2e-2) + d1 = trace(A, alg) d2 = xnp.diag(array).sum() assert relative_error(d1, d2) < (1e-1 if method == 'approx' else 1e-5) diff --git a/tests/linalg/test_eig.py b/tests/linalg/test_eig.py index 02ba0d29..09d4c3f0 100644 --- a/tests/linalg/test_eig.py +++ b/tests/linalg/test_eig.py @@ -1,10 +1,13 @@ import numpy as np from cola.fns import lazify -from cola.ops import Diagonal -from cola.ops import Identity -from cola.ops import Triangular +from cola.ops.operators import Diagonal +from cola.ops.operators import Identity +from cola.ops.operators import Triangular from cola.annotations import SelfAdjoint -from cola.linalg.eigs import eig +from cola.linalg.decompositions.decompositions import Lanczos +from cola.linalg.decompositions.decompositions import Arnoldi +from cola.linalg.algorithm_base import Auto +from cola.linalg.eig.eigs import eig from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends from cola.utils.test_utils import generate_spectrum, generate_pd_from_diag @@ -21,21 +24,21 @@ def test_general(backend): soln_vals = xnp.sort(xnp.array(diag, dtype=dtype, device=None)) A = SelfAdjoint(lazify(A)) - eig_vals, eig_vecs = eig(A, num=None, which="LM", tol=1e-6) + eig_vals, eig_vecs = eig(A, A.shape[0], "LM", Auto(tol=1e-6)) eig_vals, eig_vecs = xnp.cast(eig_vals, dtype), xnp.cast(eig_vecs.to_dense(), dtype) approx = eig_vecs @ xnp.diag(eig_vals) @ eig_vecs.T rel_error = relative_error(soln_vals, xnp.sort(eig_vals)) assert rel_error < _tol rel_error = relative_error(A.to_dense(), approx) assert rel_error < _tol * 5 - eig_vals, eig_vecs = eig(A, num=2, which="SM", tol=1e-6) + eig_vals, eig_vecs = eig(A, 2, "SM", Auto(tol=1e-6)) eig_vals = xnp.cast(eig_vals, dtype) - rel_error = relative_error(soln_vals[-2:], xnp.sort(eig_vals)) - assert rel_error < _tol + rel_error = relative_error(soln_vals[:2], eig_vals) + assert rel_error < _tol * 5 assert eig_vecs.shape == (10, 2) A.annotations = set() - eig_vals, eig_vecs = eig(A, tol=1e-6, method="arnoldi", max_iters=A.shape[-1]) + eig_vals, eig_vecs = eig(A, A.shape[0], "LM", Arnoldi(tol=1e-6, max_iters=A.shape[-1])) eig_vals, eig_vecs = xnp.cast(eig_vals, dtype), xnp.cast(eig_vecs.to_dense(), dtype) approx = eig_vecs @ xnp.diag(eig_vals) @ eig_vecs.T rel_error = relative_error(soln_vals, xnp.sort(eig_vals)) @@ -43,7 +46,7 @@ def test_general(backend): rel_error = relative_error(A.to_dense(), approx) assert rel_error < 5e-2 - eig_vals, eig_vecs = eig(SelfAdjoint(A), tol=1e-6, method="lanczos", max_iters=A.shape[-1]) + eig_vals, eig_vecs = eig(SelfAdjoint(A), A.shape[0], "LM", Lanczos(tol=1e-6, max_iters=A.shape[-1])) eig_vals, eig_vecs = xnp.cast(eig_vals, dtype), xnp.cast(eig_vecs.to_dense(), dtype) approx = eig_vecs @ xnp.diag(eig_vals) @ eig_vecs.T rel_error = relative_error(soln_vals, xnp.sort(eig_vals)) @@ -54,14 +57,14 @@ def test_general(backend): @parametrize(all_backends) -def test_adjoint(backend): +def test_Selfadjoint(backend): xnp = get_xnp(backend) dtype = xnp.float32 diag = generate_spectrum(coeff=0.5, scale=1.0, size=10) A = xnp.array(generate_pd_from_diag(diag, dtype=diag.dtype, seed=21), dtype=dtype, device=None) soln_vals = xnp.sort(xnp.array(diag, dtype=dtype, device=None)) A = SelfAdjoint(lazify(A)) - eig_vals, eig_vecs = eig(A) + eig_vals, eig_vecs = eig(A, A.shape[0], "LM", Auto()) approx = eig_vecs @ xnp.diag(eig_vals) @ eig_vecs.T rel_error = relative_error(soln_vals, eig_vals) @@ -70,7 +73,7 @@ def test_adjoint(backend): rel_error = relative_error(A.to_dense(), approx) assert rel_error < _tol - eig_vals, eig_vecs = eig(A, method="lanczos", max_iters=A.shape[-1]) + eig_vals, eig_vecs = eig(A, A.shape[0], "LM", Lanczos(max_iters=A.shape[-1])) approx = eig_vecs @ xnp.diag(eig_vals) @ eig_vecs.T rel_error = relative_error(soln_vals, eig_vals) @@ -89,7 +92,7 @@ def test_triangular(backend): A = Triangular(A) soln_vals = xnp.array([1., 4., 6.], dtype=dtype, device=None) soln_vecs = xnp.array(soln_vecs, dtype=dtype, device=None)[:, [0, 2, 1]] - eig_vals, eig_vecs = eig(A) + eig_vals, eig_vecs = eig(A, k=A.shape[0]) assert relative_error(soln_vals, eig_vals) < _tol assert relative_error(soln_vecs, eig_vecs.to_dense()) < _tol @@ -102,9 +105,10 @@ def test_identity(backend): dtype = xnp.float32 A = Identity(shape=(4, 4), dtype=dtype) soln_vals = xnp.array([1., 1., 1., 1.], dtype=dtype, device=None) - eig_slice = slice(1, None, None) + eig_slice = slice(0, 3, None) soln_vecs = xnp.eye(4, 4, dtype=dtype, device=None) - eig_vals, eig_vecs = eig(A, num=3, which="SM") + soln_vecs = soln_vecs[:, eig_slice] + eig_vals, eig_vecs = eig(A, k=3, which="SM") assert relative_error(soln_vals[eig_slice], eig_vals) < _tol assert relative_error(soln_vecs[:, eig_slice], eig_vecs.to_dense()) < _tol @@ -117,7 +121,8 @@ def test_diagonal(backend): diag = xnp.array([0.1, 3., 0.2, 4.], dtype=dtype, device=None) soln_vecs = [[1., 0., 0., 0.], [0., 0., 1., 0.], [0., 1., 0., 0.], [0., 0., 0., 1.]] soln_vecs = xnp.array(soln_vecs, dtype=dtype, device=None) - eig_vals, eig_vecs = eig(Diagonal(diag=diag)) + D = Diagonal(diag) + eig_vals, eig_vecs = eig(D, k=D.shape[0]) eig_vecs = eig_vecs.to_dense() rel_error = relative_error(xnp.sort(diag), eig_vals) diff --git a/tests/linalg/test_inverse.py b/tests/linalg/test_inverse.py index f35a329b..ab9c3b22 100644 --- a/tests/linalg/test_inverse.py +++ b/tests/linalg/test_inverse.py @@ -1,7 +1,8 @@ -from cola.linalg import inv +from cola.linalg.inverse.inv import inv +from cola.linalg.algorithm_base import Auto from cola.ops import LinearOperator from cola.utils.test_utils import parametrize, relative_error -import cola +from cola.annotations import PSD from operator_market import op_names, get_test_operator from cola.backends import all_backends @@ -12,10 +13,10 @@ def test_inverse(backend, precision, op_name): tol = 1e-5 A, dtype, xnp = operator, operator.dtype, operator.xnp A2 = LinearOperator(A.dtype, A.shape, A._matmat) - Ainv = inv(A, tol=tol) - A3 = cola.PSD(A2) if A.isa(cola.PSD) else A2 - Ainv2 = inv(A3, tol=tol, method='dense') - Ainv3 = inv(A3, tol=tol, method='iterative') + Ainv = inv(A, Auto(tol=tol)) + A3 = PSD(A2) if A.isa(PSD) else A2 + Ainv2 = inv(A3, Auto(tol=tol, method='dense')) + Ainv3 = inv(A3, Auto(tol=tol, method='iterative')) B = xnp.randn(*(A.shape[-1], 10), dtype=dtype, device=None) B = xnp.array(B, dtype=dtype, device=None) X = Ainv @ B diff --git a/tests/linalg/test_logdet.py b/tests/linalg/test_logdet.py index 3d4fa040..80835e9d 100644 --- a/tests/linalg/test_logdet.py +++ b/tests/linalg/test_logdet.py @@ -1,9 +1,13 @@ import numpy as np from operator_market import op_names, get_test_operator -import cola -from cola.linalg import logdet -from cola.ops import LinearOperator +from cola.annotations import SelfAdjoint, PSD +from cola.ops.operator_base import LinearOperator +from cola.ops.operators import Dense from cola.utils.test_utils import parametrize, relative_error +from cola.linalg.logdet.logdet import logdet +from cola.linalg.algorithm_base import Auto +from cola.linalg.decompositions.decompositions import Lanczos +from cola.linalg.trace.diag_trace import Hutch, Exact from cola.backends import all_backends _exclude = (slice(None), slice(None), ['psd_identity', 'psd_scalarmul', 'selfadj_tridiagonal']) @@ -13,29 +17,32 @@ def test_logdet(backend, precision, op_name): operator = get_test_operator(backend, precision, op_name) A, _, xnp = operator, operator.dtype, operator.xnp - if not A.isa(cola.SelfAdjoint) and backend == 'numpy': + if not A.isa(SelfAdjoint) and backend == 'numpy': return A2 = LinearOperator(A.dtype, A.shape, A._matmat) tol = 1e-4 Adense = A.to_dense() l0 = xnp.slogdet(Adense)[1] - l1 = logdet(A, tol=tol) + l1 = logdet(A, log_alg=Auto(tol=tol), trace_alg=Auto(tol=tol)) if l0 < 1e-4: assert True return e1 = relative_error(l0, l1) assert e1 < 3 * tol, f"Dispatch rules failed on {type(A)} with error {e1}" if np.prod(A.shape) < 1000: - A3 = cola.PSD(A2) if A.isa(cola.PSD) else A2 - l2 = logdet(A3, tol=tol, method='dense') + A3 = PSD(A2) if A.isa(PSD) else A2 + l2 = logdet(A3, log_alg=Auto(), trace_alg=Auto()) e2 = relative_error(l0, l2) assert e2 < 3 * tol, f"Dense logdet failed on {type(A)} with error {e2}" diag = xnp.diag(Adense) assert relative_error(xnp.diag(diag.mean() + 0. * diag), Adense) > 1e-5 - A3 = cola.PSD(A2) if A.isa(cola.PSD) else A2 - l3 = logdet(A3, tol=tol, method='iterative-stochastic', vtol=3e-2) - e3 = relative_error(l0, l3) + if A.isa(PSD): + A3, alg, mult = PSD(A2), Lanczos(), 1.0 + else: + A3, alg, mult = PSD(Dense((A2.H @ A).to_dense())), Lanczos(), 0.5 + l3 = logdet(A3, log_alg=alg, trace_alg=Hutch(max_iters=300, key=xnp.PRNGKey(42))) + e3 = relative_error(l0, l3 * mult) assert e3 < 3e-1, f"SLQ logdet failed on {type(A)} with error {e3}" - l4 = logdet(A3, tol=tol, method='iterative-exact', vtol=tol) - e4 = relative_error(l0, l4) + l4 = logdet(A3, log_alg=alg, trace_alg=Exact()) + e4 = relative_error(l0, l4 * mult) assert e4 < 10 * tol, f"Tr(log(A)) logdet failed on {type(A)} with error {e4}" diff --git a/tests/linalg/test_solve.py b/tests/linalg/test_solve.py index 4258024a..25cc70de 100644 --- a/tests/linalg/test_solve.py +++ b/tests/linalg/test_solve.py @@ -1,4 +1,5 @@ -import cola +from cola.annotations import PSD +from cola.linalg.inverse.inv import solve from cola.fns import lazify from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends @@ -14,6 +15,6 @@ def test_random_linear_system(backend): rhs = xnp.ones(shape=(A.shape[0], 5), dtype=dtype, device=None) soln = xnp.solve(A, rhs) - approx = cola.solve(cola.PSD(lazify(A)), rhs) + approx = solve(PSD(lazify(A)), rhs) rel_error = relative_error(soln, approx) assert rel_error < 1e-6 diff --git a/tests/linalg/test_sqrt.py b/tests/linalg/test_sqrt.py index 718d628c..98694c62 100644 --- a/tests/linalg/test_sqrt.py +++ b/tests/linalg/test_sqrt.py @@ -1,6 +1,7 @@ from cola.fns import kron from cola.fns import lazify from cola.linalg import sqrt +from cola.linalg.algorithm_base import Auto from cola.ops import Diagonal from cola.annotations import SelfAdjoint from cola.utils.test_utils import get_xnp, parametrize, relative_error @@ -16,7 +17,7 @@ def test_diagonal(backend): dtype = xnp.float32 diag = xnp.array([0.1, 0.2, 3., 4.], dtype=dtype, device=None) C = xnp.diag(diag**0.5) - B = sqrt(Diagonal(diag=diag)) + B = sqrt(Diagonal(diag=diag), Auto()) rel_error = relative_error(C, B.to_dense()) assert rel_error < _tol @@ -31,7 +32,7 @@ def test_kronecker(backend): diag2 = Diagonal(xnp.array([3., 4. / 3.], dtype=dtype, device=None)) soln = xnp.diag(diag**0.5) K = kron(diag1, diag2) - approx = sqrt(K) + approx = sqrt(K, Auto()) rel_error = relative_error(soln, approx.to_dense()) assert rel_error < _tol @@ -45,7 +46,7 @@ def test_general(backend): A = xnp.array(generate_pd_from_diag(diag, dtype=diag.dtype, seed=21), dtype=dtype, device=None) A = SelfAdjoint(lazify(A)) soln = xnp.array(generate_pd_from_diag(diag**0.5, dtype=diag.dtype, seed=21), dtype=dtype, device=None) - approx = sqrt(A).to_dense() + approx = sqrt(A, Auto()).to_dense() rel_error = relative_error(soln, approx) assert rel_error < _tol diff --git a/tests/linalg/test_unary.py b/tests/linalg/test_unary.py index 32e6b004..940a17c5 100644 --- a/tests/linalg/test_unary.py +++ b/tests/linalg/test_unary.py @@ -1,17 +1,20 @@ -from operator_market import op_names, get_test_operator +import numpy as np import scipy.linalg -import cola.linalg +import cola.linalg.unary.unary as colau +from operator_market import op_names, get_test_operator +from cola.annotations import SelfAdjoint from cola.ops import LinearOperator -import cola +from cola.linalg.algorithm_base import Auto +from cola.linalg.decompositions.decompositions import Lanczos +from cola.linalg.decompositions.decompositions import Arnoldi from cola.utils.test_utils import parametrize, relative_error -import numpy as np from cola.backends import all_backends @parametrize(all_backends, ['float64'], op_names, ['exp', 'sqrt']).excluding['torch', :, 'psd_kron', :] def test_unary(backend, precision, op_name, fn_name): operator = get_test_operator(backend, precision, op_name) - fn = getattr(cola.linalg, fn_name) + fn = getattr(colau, fn_name) spfn = getattr(scipy.linalg, fn_name + 'm') A, dtype, xnp = operator, operator.dtype, operator.xnp A2 = LinearOperator(A.dtype, A.shape, A._matmat) @@ -24,18 +27,22 @@ def test_unary(backend, precision, op_name, fn_name): return Anp = np.array(Adense) fv = spfn(Anp) @ np.array(v) - fv1 = np.array(fn(A, tol=tol, method='auto') @ v) - # Q = fn(A, tol=tol, method='auto') + fv1 = np.array(fn(A, Auto(tol=tol)) @ v) e1 = relative_error(fv, fv1) assert e1 < 3 * tol, f"Dispatch rules failed on {type(A)} with error {e1}" - A3 = cola.SelfAdjoint(A2) if A.isa(cola.SelfAdjoint) else A2 + if A.isa(SelfAdjoint): + A3 = SelfAdjoint(A2) + alg = Lanczos(tol=tol) + else: + A3 = A2 + alg = Arnoldi(tol=tol) if np.prod(A.shape) < 1000: - fv2 = np.array(fn(A3, tol=tol, method='dense') @ v) + fv2 = np.array(fn(A3, Auto(tol=tol)) @ v) e2 = relative_error(fv, fv2) assert e2 < 3 * tol, f"Dense f(A) failed on {type(A)} with error {e2}" diag = xnp.diag(Adense) not_scalarmul = relative_error(xnp.diag(diag.mean() + 0. * diag), Adense) > 1e-5 if not_scalarmul: - fv3 = np.array(fn(A3, tol=tol, method='iterative') @ v) + fv3 = np.array(fn(A3, alg) @ v) e3 = relative_error(fv, fv3) assert e3 < 3 * tol, f"SLQ logdet failed on {type(A)} with error {e3}" diff --git a/tests/test_decomps.py b/tests/test_decomps.py index 84127cf3..6ccb5828 100644 --- a/tests/test_decomps.py +++ b/tests/test_decomps.py @@ -1,19 +1,22 @@ -import cola from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends from linalg.operator_market import op_names, get_test_operator +from cola.linalg.inverse.inv import inv +from cola.linalg.logdet.logdet import logdet +from cola.linalg.decompositions.decompositions import cholesky, plu +from cola.linalg.algorithm_base import Auto @parametrize(all_backends, [op for op in op_names if op.startswith('psd')]) def test_cholesky(backend, opname): xnp = get_xnp(backend) A = get_test_operator(backend, 'float32', opname) - A_decomposed = cola.cholesky_decomposed(A) + A_decomposed = cholesky(A) Ainv1 = xnp.inv(A_decomposed.to_dense()) - Ainv2 = cola.inv(A_decomposed).to_dense() + Ainv2 = inv(A_decomposed).to_dense() assert relative_error(Ainv1, Ainv2) < 1e-5, "inverse failed" logdet1 = xnp.slogdet(A_decomposed.to_dense())[1] - logdet2 = cola.logdet(A_decomposed) + logdet2 = logdet(A_decomposed, Auto(), Auto()) assert relative_error(logdet1, logdet2) < 1e-5, "logdet failed" @@ -21,11 +24,12 @@ def test_cholesky(backend, opname): def test_lu(backend, opname): xnp = get_xnp(backend) A = get_test_operator(backend, 'float32', opname) - A_decomposed = cola.lu_decomposed(A) + P, L, U = plu(A) + A_decomposed = P @ L @ U Ainv1 = xnp.inv(A_decomposed.to_dense()) - Ainv2 = cola.inv(A_decomposed).to_dense() + Ainv2 = inv(A_decomposed).to_dense() assert relative_error(xnp.cast(Ainv1, Ainv2.dtype), Ainv2) < 1e-5, "inverse failed" logdet1 = xnp.slogdet(A_decomposed.to_dense())[1] - logdet2 = cola.logdet(A_decomposed) + logdet2 = logdet(A_decomposed, Auto(), Auto()) if logdet1 > 1e-4 or logdet2 > 1e-4: assert relative_error(logdet1, logdet2) < 1e-5, "logdet failed" diff --git a/tests/test_linalg.py b/tests/test_linalg.py index 137e96ea..a6250ad7 100644 --- a/tests/test_linalg.py +++ b/tests/test_linalg.py @@ -1,9 +1,9 @@ -import cola as co from cola.fns import lazify +from cola.linalg.inverse.inv import inv from cola.ops import Tridiagonal -from cola.algorithms.lanczos import get_lu_from_tridiagonal -from cola.linalg.nullspace import nullspace -from cola.linalg.eigs import power_iteration +from cola.linalg.decompositions.lanczos import get_lu_from_tridiagonal +from cola.linalg.tbd.nullspace import nullspace +from cola.linalg.eig.power_iteration import power_iteration from cola.fns import kron from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends @@ -21,7 +21,7 @@ def test_inv(backend): rhs = xnp.ones(shape=(A.shape[0], 5), dtype=dtype, device=None) soln = xnp.solve(A, rhs) - approx = co.inv(lazify(A)) @ rhs + approx = inv(lazify(A)) @ rhs rel_error = relative_error(soln, approx) assert rel_error < _tol * 10 diff --git a/tests/test_operators.py b/tests/test_operators.py index a8c41477..71f4799f 100644 --- a/tests/test_operators.py +++ b/tests/test_operators.py @@ -14,7 +14,7 @@ from cola.ops import Sparse from cola.ops import Jacobian from cola.ops import LinearOperator -from cola.algorithms.arnoldi import get_householder_vec +from cola.linalg.decompositions.arnoldi import get_householder_vec from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import all_backends, tracing_backends from linalg.operator_market import op_names, get_test_operator diff --git a/tests/test_pytree.py b/tests/test_pytree.py index d25afbf5..76c60779 100644 --- a/tests/test_pytree.py +++ b/tests/test_pytree.py @@ -1,6 +1,8 @@ -import cola +from cola.fns import kron +from cola.linalg.logdet.logdet import logdet from cola.utils.test_utils import get_xnp, parametrize, relative_error from cola.backends import tracing_backends +from cola.linalg.algorithm_base import Auto from cola.ops import Dense, Diagonal, Product, ScalarMul from functools import partial @@ -14,7 +16,7 @@ def test_vmappable_constructor(backend): # a,b,c = xnp.randn(3,5,10,key = xnp.PRNGKey(0)) # Ts = xnp.vmap(Tridiagonal)(a[:,:-1],b,c[:,:-1]) def make_operator(X1, X2): - return cola.kron(Dense(X1), Diagonal(X2)) + return kron(Dense(X1), Diagonal(X2)) k0 = xnp.PRNGKey(2) z1 = xnp.randn(4, 5, 5, key=k0, dtype=dtype, device=device) @@ -42,7 +44,7 @@ def test_jittable_constructor(backend): # a,b,c = xnp.randn(3,5,10,key = xnp.PRNGKey(0)) # Ts = xnp.vmap(Tridiagonal)(a[:,:-1],b,c[:,:-1]) def make_operator(X1, X2): - return cola.kron(Dense(X1), Diagonal(X2)) + return kron(Dense(X1), Diagonal(X2)) k0 = xnp.PRNGKey(2) z1 = xnp.randn(5, 5, key=k0, dtype=dtype, device=device) @@ -66,13 +68,13 @@ def test_vmapped_linalg(backend): # a,b,c = xnp.randn(3,5,10,key = xnp.PRNGKey(0)) # Ts = xnp.vmap(Tridiagonal)(a[:,:-1],b,c[:,:-1]) def make_operator(X1, X2): - return cola.kron(Dense(X1), Diagonal(X2)) + return kron(Dense(X1), Diagonal(X2)) k0 = xnp.PRNGKey(2) z1 = xnp.randn(4, 5, 5, key=k0, dtype=dtype, device=device) z2 = xnp.randn(4, 2, key=k0, dtype=dtype, device=device) Ts = xnp.vmap(make_operator)(z1, z2) - logdets = xnp.vmap(partial(cola.linalg.logdet))(Ts) + logdets = xnp.vmap(partial(logdet, log_alg=Auto(), trace_alg=Auto()))(Ts) logdets2 = xnp.slogdet(xnp.vmap(lambda T: T.to_dense())(Ts))[1] assert relative_error(logdets, logdets2) < 1e-6