From e2e8fdbc51cf6fc3149079883b6b62551b3e6b74 Mon Sep 17 00:00:00 2001 From: "Craig M. Hamel" Date: Fri, 25 Oct 2024 14:16:43 -0400 Subject: [PATCH 1/2] moving QuadratureRule over to an equinox.Module and patched up a few tests that was using the old QuadratureRule.len method. Now using a __len__ method in QuadratureRule so we can use the python built-in len method. --- examples/hole_array/hole_array.exo | Bin 0 -> 522052 bytes examples/hole_array/hole_array.py | 152 ++++++++++++++++++ optimism/Mechanics.py | 14 +- optimism/QuadratureRule.py | 66 +++++--- .../inverse/test/test_J2Plastic_inverse.py | 6 +- optimism/material/test/test_J2Plastic.py | 2 +- optimism/phasefield/PhaseField.py | 2 +- .../test_PhaseFieldLorentzPlasticPatch.py | 2 +- .../test/test_PhaseFieldThresholdPatch.py | 2 +- optimism/test/test_FunctionSpace.py | 6 +- optimism/test/test_Interpolants.py | 6 +- optimism/test/test_Mechanics.py | 2 +- setup.py | 8 +- 13 files changed, 222 insertions(+), 46 deletions(-) create mode 100644 examples/hole_array/hole_array.exo create mode 100644 examples/hole_array/hole_array.py diff --git a/examples/hole_array/hole_array.exo b/examples/hole_array/hole_array.exo new file mode 100644 index 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+from optimism import FunctionSpace +from optimism.material import Neohookean as MatModel +from optimism import Mechanics +from optimism.FunctionSpace import EssentialBC +from optimism.FunctionSpace import DofManager +from optimism import Objective +from optimism import SparseMatrixAssembler +from optimism import QuadratureRule +from optimism import ReadExodusMesh +from optimism import VTKWriter + +import time + + +if __name__ == '__main__': + mesh = ReadExodusMesh.read_exodus_mesh('./hole_array.exo') + quad_rule = QuadratureRule.create_quadrature_rule_on_triangle(degree=2) + quad_rule_face = QuadratureRule.create_quadrature_rule_1D(4) + func_space = FunctionSpace.construct_function_space(mesh, quad_rule) + + ebcs = [ + EssentialBC(nodeSet='yminus_nodeset', component=0), + EssentialBC(nodeSet='yminus_nodeset', component=1), + EssentialBC(nodeSet='yplus_nodeset', component=0), + EssentialBC(nodeSet='yplus_nodeset', component=1) + ] + + dofManager = DofManager(func_space, 2, ebcs) + + props = {'elastic modulus': 3. * 10.0 * (1. - 2. * 0.3), + 'poisson ratio': 0.3, + 'version': 'coupled'} + + mat_model = MatModel.create_material_model_functions(props) + mech_funcs = Mechanics.create_mechanics_functions(func_space, mode2D='plane strain', materialModel=mat_model) + + eq_settings = EqSolver.get_settings( + use_incremental_objective=False, + max_trust_iters=100, + tr_size=0.25, + min_tr_size=1e-15, + tol=5e-8 + ) + + internal_variables = mech_funcs.compute_initial_state() + + def get_ubcs(p): + yLoc = p[0] + V = np.zeros(mesh.coords.shape) + index = (mesh.nodeSets['yplus_nodeset'], 1) + V = V.at[index].set(yLoc) + return dofManager.get_bc_values(V) + + + def create_field(Uu, p): + return dofManager.create_field(Uu, get_ubcs(p)) + + + def energy_function(Uu, p): + U = create_field(Uu, p) + # internal_variables = p[1] + return mech_funcs.compute_strain_energy(U, internal_variables) + + + def energy_function_with_contact(Uu, lam, p): + return energy_function(Uu, p) + + + def assemble_sparse(Uu, p): + U = create_field(Uu, p) + internal_variables = p[1] + element_stiffnesses = mech_funcs.compute_element_stiffnesses(U, internal_variables) + return SparseMatrixAssembler.\ + assemble_sparse_stiffness_matrix(element_stiffnesses, func_space.mesh.conns, dofManager) + + + def update_params_function(step, Uu, p): + # update displacement BCs + max_disp = 5. + max_steps = 20 + # disp = p[0] + # disp = disp - max_disp / max_steps + disp = -(step / max_steps) * max_disp + + p = Objective.param_index_update(p, 0, disp) + + # update contact stuff + # if step % search_frequency == 0: + # U = create_field(Uu, p) + # interaction_list_1 = get_potential_interaction_list(contact_edges_1, contact_edges_1, mesh, U, max_contact_neighbors) + # interaction_list_1 = np.array([filter_edge_neighbors(eneighbors, contact_edges_1[e]) for e, eneighbors in enumerate(interaction_list_1)]) + # interaction_list_2 = get_potential_interaction_list(contact_edges_2, contact_edges_2, mesh, U, max_contact_neighbors) + # interaction_list_2 = np.array([filter_edge_neighbors(eneighbors, contact_edges_2[e]) for e, eneighbors in enumerate(interaction_list_2)]) + # interaction_lists = (interaction_list_1, interaction_list_2) + # p = Objective.param_index_update(p, 1, interaction_lists) + + return p + + + def plot_solution(dispField, plotName, p): + writer = VTKWriter.VTKWriter(mesh, baseFileName=plotName) + writer.add_nodal_field(name='displacement', + nodalData=dispField, + fieldType=VTKWriter.VTKFieldType.VECTORS) + + bcs = np.array(dofManager.isBc, dtype=int) + writer.add_nodal_field(name='bcs', + nodalData=bcs, + fieldType=VTKWriter.VTKFieldType.VECTORS, + dataType=VTKWriter.VTKDataType.INT) + + writer.write() + + + def run(): + Uu = dofManager.get_unknown_values(np.zeros(mesh.coords.shape)) + disp = 0.0 + ivs = mech_funcs.compute_initial_state() + p = Objective.Params(disp, ivs) + precond_strategy = Objective.PrecondStrategy(assemble_sparse) + objective = Objective.Objective(energy_function, Uu, p, precond_strategy) + + step = 0 + maxDisp = 5.0 + + plot_solution(create_field(Uu, p), 'output-0000', p) + + steps = 20 + for step in range(1, steps): + print('--------------------------------------') + print('LOAD STEP ', step) + disp = disp - maxDisp / steps + + p = Objective.param_index_update(p, 0, disp) + Uu,_ = EqSolver.nonlinear_equation_solve(objective, Uu, p, eq_settings) + plot_solution(create_field(Uu, p), 'output-%s' % str(step + 1).zfill(4), p) + + # run_without_contact() + +if __name__ == '__main__': + times = [] + for n in range(10): + start_time = time.time() + run() + total_time = time.time() - start_time + print(f' Sim {n + 1} time = {total_time}') + times.append(total_time) + print(f'Average time = {sum(times) / len(times)}') \ No newline at end of file diff --git a/optimism/Mechanics.py b/optimism/Mechanics.py index 263fa1da..9ea47464 100644 --- a/optimism/Mechanics.py +++ b/optimism/Mechanics.py @@ -145,7 +145,7 @@ def _compute_updated_internal_variables_multi_block(functionSpace, U, states, dt def _compute_initial_state_multi_block(fs, blockModels): - numQuadPoints = QuadratureRule.len(fs.quadratureRule) + numQuadPoints = len(fs.quadratureRule) # Store the same number of state variables for every material to make # vmapping easy. # @@ -225,8 +225,8 @@ def compute_element_stiffnesses(U, stateVariables, dt=0.0): def compute_output_energy_densities_and_stresses(U, stateVariables, dt=0.0): - energy_densities = np.zeros((Mesh.num_elements(fs.mesh), QuadratureRule.len(fs.quadratureRule))) - stresses = np.zeros((Mesh.num_elements(fs.mesh), QuadratureRule.len(fs.quadratureRule), 3, 3)) + energy_densities = np.zeros((Mesh.num_elements(fs.mesh), len(fs.quadratureRule))) + stresses = np.zeros((Mesh.num_elements(fs.mesh), len(fs.quadratureRule), 3, 3)) for blockKey in materialModels: compute_output_energy_density = materialModels[blockKey].compute_energy_density output_lagrangian = strain_energy_density_to_lagrangian_density(compute_output_energy_density) @@ -291,7 +291,7 @@ def compute_output_energy_densities_and_stresses(U, stateVariables, dt=0.0): def compute_initial_state(): - shape = Mesh.num_elements(fs.mesh), QuadratureRule.len(fs.quadratureRule), 1 + shape = Mesh.num_elements(fs.mesh), len(fs.quadratureRule), 1 return np.tile(materialModel.compute_initial_state(), shape) def lagrangian_qoi(U, gradU, Q, X, dt): @@ -414,19 +414,19 @@ def compute_output_potential_densities_and_stresses(U, stateVariables, dt): return FunctionSpace.evaluate_on_block(fs, U, stateVariables, dt, output_constitutive, slice(None), modify_element_gradient=modify_element_gradient) def compute_kinetic_energy(V): - stateVariables = np.zeros((Mesh.num_elements(fs.mesh), QuadratureRule.len(fs.quadratureRule))) + stateVariables = np.zeros((Mesh.num_elements(fs.mesh), len(fs.quadratureRule))) return _compute_kinetic_energy(functionSpace, V, stateVariables, materialModel.density) def compute_output_strain_energy(U, stateVariables, dt): return _compute_strain_energy(functionSpace, U, stateVariables, dt, materialModel.compute_energy_density, modify_element_gradient) def compute_initial_state(): - shape = Mesh.num_elements(fs.mesh), QuadratureRule.len(fs.quadratureRule), 1 + shape = Mesh.num_elements(fs.mesh), len(fs.quadratureRule), 1 return np.tile(materialModel.compute_initial_state(), shape) def compute_element_masses(): V = np.zeros_like(fs.mesh.coords) - stateVariables = np.zeros((Mesh.num_elements(fs.mesh), QuadratureRule.len(fs.quadratureRule))) + stateVariables = np.zeros((Mesh.num_elements(fs.mesh), len(fs.quadratureRule))) return _compute_element_masses(functionSpace, V, stateVariables, materialModel.density, modify_element_gradient) def predict(U, V, A, dt): diff --git a/optimism/QuadratureRule.py b/optimism/QuadratureRule.py index d14948b2..ccd62183 100644 --- a/optimism/QuadratureRule.py +++ b/optimism/QuadratureRule.py @@ -1,22 +1,43 @@ -from collections import namedtuple +# from collections import namedtuple +from jax.lax import switch +from jaxtyping import Array, Float +import equinox as eqx +import jax.numpy as np import math import numpy as onp import scipy.special -import jax.numpy as np -from jax.lax import switch -QuadratureRule = namedtuple('QuadratureRule', ['xigauss', 'wgauss']) -QuadratureRule.__doc__ = """Quadrature rule points and weights. - A ``namedtuple`` containing ``xigauss``, a numpy array of the +# QuadratureRule_old = namedtuple('QuadratureRule_old', ['xigauss', 'wgauss']) +# QuadratureRule_old.__doc__ = """Quadrature rule points and weights. +# A ``namedtuple`` containing ``xigauss``, a numpy array of the +# coordinates of the sample points in the reference domain, and +# ``wgauss``, a numpy array with the weights. +# """ + +# def len(quadRule): +# """Gets the number of points in a quadrature rule.""" +# return quadRule.xigauss.shape[0] + + + +class QuadratureRule(eqx.Module): + """ + Quadrature rule points and weights. + An ``equinox`` ``Module`` containing ``xigauss``, a ``jax.numpy`` array of the coordinates of the sample points in the reference domain, and - ``wgauss``, a numpy array with the weights. + ``wgauss``, a ``jax.numpy`` array with the weights. """ + xigauss: Float[Array, "nq 2"] + wgauss: Float[Array, "nq"] -def len(quadRule): - """Gets the number of points in a quadrature rule.""" - return quadRule.xigauss.shape[0] + def __iter__(self): + yield self.xigauss + yield self.wgauss + + def __len__(self): + return self.xigauss.shape[0] def create_quadrature_rule_1D(degree): @@ -64,33 +85,33 @@ def create_quadrature_rule_on_triangle(degree): and the weights. """ if degree <= 1: - xi = onp.array([[3.33333333333333333E-01, 3.33333333333333333E-01]]) + xi = np.array([[3.33333333333333333E-01, 3.33333333333333333E-01]]) - w = onp.array([ 5.00000000000000000E-01 ]) + w = np.array([ 5.00000000000000000E-01 ]) elif degree == 2: - xi = onp.array([[6.66666666666666667E-01, 1.66666666666666667E-01], + xi = np.array([[6.66666666666666667E-01, 1.66666666666666667E-01], [1.66666666666666667E-01, 6.66666666666666667E-01], [1.66666666666666667E-01, 1.66666666666666667E-01]]) - w = onp.array([1.66666666666666666E-01, + w = np.array([1.66666666666666666E-01, 1.66666666666666667E-01, 1.66666666666666667E-01]) elif degree <= 4: - xi = onp.array([[1.081030181680700E-01, 4.459484909159650E-01], + xi = np.array([[1.081030181680700E-01, 4.459484909159650E-01], [4.459484909159650E-01, 1.081030181680700E-01], [4.459484909159650E-01, 4.459484909159650E-01], [8.168475729804590E-01, 9.157621350977100E-02], [9.157621350977100E-02, 8.168475729804590E-01], [9.157621350977100E-02, 9.157621350977100E-02]]) - w = onp.array([1.116907948390055E-01, + w = np.array([1.116907948390055E-01, 1.116907948390055E-01, 1.116907948390055E-01, 5.497587182766100E-02, 5.497587182766100E-02, 5.497587182766100E-02]) elif degree <= 5: - xi = onp.array([[3.33333333333333E-01, 3.33333333333333E-01], + xi = np.array([[3.33333333333333E-01, 3.33333333333333E-01], [5.97158717897700E-02, 4.70142064105115E-01], [4.70142064105115E-01, 5.97158717897700E-02], [4.70142064105115E-01, 4.70142064105115E-01], @@ -98,7 +119,7 @@ def create_quadrature_rule_on_triangle(degree): [1.01286507323456E-01, 7.97426985353087E-01], [1.01286507323456E-01, 1.01286507323456E-01]]) - w = onp.array([1.12500000000000E-01, + w = np.array([1.12500000000000E-01, 6.61970763942530E-02, 6.61970763942530E-02, 6.61970763942530E-02, @@ -106,7 +127,7 @@ def create_quadrature_rule_on_triangle(degree): 6.29695902724135E-02, 6.29695902724135E-02]) elif degree <= 6: - xi = onp.array([[5.01426509658179E-01, 2.49286745170910E-01], + xi = np.array([[5.01426509658179E-01, 2.49286745170910E-01], [2.49286745170910E-01, 5.01426509658179E-01], [2.49286745170910E-01, 2.49286745170910E-01], [8.73821971016996E-01, 6.30890144915020E-02], @@ -119,7 +140,7 @@ def create_quadrature_rule_on_triangle(degree): [6.36502499121399E-01, 3.10352451033784E-01], [3.10352451033784E-01, 5.31450498448170E-02]]) - w = onp.array([5.83931378631895E-02, + w = np.array([5.83931378631895E-02, 5.83931378631895E-02, 5.83931378631895E-02, 2.54224531851035E-02, @@ -132,7 +153,7 @@ def create_quadrature_rule_on_triangle(degree): 4.14255378091870E-02, 4.14255378091870E-02]) elif degree <= 10: - xi = onp.array([[0.33333333333333333E+00, 0.33333333333333333E+00], + xi = np.array([[0.33333333333333333E+00, 0.33333333333333333E+00], [0.4269134091050342E-02, 0.49786543295447483E+00], [0.49786543295447483E+00, 0.4269134091050342E-02], [0.49786543295447483E+00, 0.49786543295447483E+00], @@ -158,7 +179,7 @@ def create_quadrature_rule_on_triangle(degree): [0.6297073291529187E+00, 0.3327436005886386E+00], [0.37549070258442674E-01, 0.6297073291529187E+00]]) - w = onp.array([0.4176169990259819E-01, + w = np.array([0.4176169990259819E-01, 0.36149252960283717E-02, 0.36149252960283717E-02, 0.36149252960283717E-02, @@ -231,6 +252,7 @@ def _gauss_quad_1D_3pt(_): 0., 0.]) return xi,w + def _gauss_quad_1D_4pt(_): xi = np.array([-0.8611363115940526 , -0.33998104358485626, 0.33998104358485626, 0.8611363115940526 , 0.]) diff --git a/optimism/inverse/test/test_J2Plastic_inverse.py b/optimism/inverse/test/test_J2Plastic_inverse.py index 2a04ba81..3450b78d 100644 --- a/optimism/inverse/test/test_J2Plastic_inverse.py +++ b/optimism/inverse/test/test_J2Plastic_inverse.py @@ -181,7 +181,7 @@ def update_internal_vars_test(Uu, ivs_prev): dc_du, dc_dc_n = update_internal_variables_derivs(Uu, self.ivs_prev) nElems = Mesh.num_elements(self.mesh) - nQpsPerElem = QuadratureRule.len(self.quadRule) + nQpsPerElem = len(self.quadRule) nIntVars = 10 nFreeDofs = Uu.shape[0] @@ -205,7 +205,7 @@ def update_internal_vars_test(U, ivs_prev): dc_du, dc_dc_n = update_internal_variables_derivs(U, self.ivs_prev) nElems = Mesh.num_elements(self.mesh) - nQpsPerElem = QuadratureRule.len(self.quadRule) + nQpsPerElem = len(self.quadRule) nIntVars = 10 nDims = 2 nNodes = Mesh.num_nodes(self.mesh) @@ -252,7 +252,7 @@ def test_state_derivs_computed_locally_at_plastic_step(self): dc_dc_n = ivsUpdateInverseFuncs.ivs_update_jac_ivs_prev(U, self.ivs_prev) nElems = Mesh.num_elements(self.mesh) - nQpsPerElem = QuadratureRule.len(self.quadRule) + nQpsPerElem = len(self.quadRule) nIntVars = 10 self.assertEqual(dc_dc_n.shape, (nElems,nQpsPerElem,nIntVars,nIntVars)) diff --git a/optimism/material/test/test_J2Plastic.py b/optimism/material/test/test_J2Plastic.py index 0767c371..a2b72226 100644 --- a/optimism/material/test/test_J2Plastic.py +++ b/optimism/material/test/test_J2Plastic.py @@ -293,7 +293,7 @@ def test_plasticity_with_mesh(self): Ubc = dofManager.get_bc_values(U) nElems = Mesh.num_elements(mesh) - nQpsPerElem = QuadratureRule.len(quadRule) + nQpsPerElem = len(quadRule) internalVariables = mechFuncs.compute_initial_state() tOld = 0.0 diff --git a/optimism/phasefield/PhaseField.py b/optimism/phasefield/PhaseField.py index 2d0e57ef..09208d3b 100644 --- a/optimism/phasefield/PhaseField.py +++ b/optimism/phasefield/PhaseField.py @@ -156,7 +156,7 @@ def compute_strain_energy_density(U, Q, dt=0.0): return FunctionSpace.evaluate_on_block(fs, U, Q, dt, L_strain, slice(None), modify_element_gradient=modify_element_gradient) def compute_initial_state(): - return materialModel.compute_initial_state((Mesh.num_elements(fs.mesh), QuadratureRule.len(fs.quadratureRule), 1)) + return materialModel.compute_initial_state((Mesh.num_elements(fs.mesh), len(fs.quadratureRule), 1)) L_compute_state_new = energy_density_to_lagrangian_density(materialModel.compute_state_new) diff --git a/optimism/phasefield/test/test_PhaseFieldLorentzPlasticPatch.py b/optimism/phasefield/test/test_PhaseFieldLorentzPlasticPatch.py index ade12caf..4c6e8ab9 100644 --- a/optimism/phasefield/test/test_PhaseFieldLorentzPlasticPatch.py +++ b/optimism/phasefield/test/test_PhaseFieldLorentzPlasticPatch.py @@ -69,7 +69,7 @@ def setUp(self): materialModel) self.nElements = Mesh.num_elements(self.mesh) - self.nQuadPtsPerElem = QuadratureRule.len(quadRule) + self.nQuadPtsPerElem = len(quadRule) self.stateVars = self.bvpFunctions.compute_initial_state() dofToUnknown = self.dofManager.dofToUnknown.reshape(self.U.shape) diff --git a/optimism/phasefield/test/test_PhaseFieldThresholdPatch.py b/optimism/phasefield/test/test_PhaseFieldThresholdPatch.py index 498fbeb3..cfd15628 100644 --- a/optimism/phasefield/test/test_PhaseFieldThresholdPatch.py +++ b/optimism/phasefield/test/test_PhaseFieldThresholdPatch.py @@ -62,7 +62,7 @@ def setUp(self): materialModel) self.nElements = Mesh.num_elements(self.mesh) - self.nQuadPtsPerElem = QuadratureRule.len(quadRule) + self.nQuadPtsPerElem = len(quadRule) self.stateVars = self.bvpFunctions.compute_initial_state() dofToUnknown = self.dofManager.dofToUnknown.reshape(self.U.shape) diff --git a/optimism/test/test_FunctionSpace.py b/optimism/test/test_FunctionSpace.py index fdf2466c..7baa8017 100644 --- a/optimism/test/test_FunctionSpace.py +++ b/optimism/test/test_FunctionSpace.py @@ -82,7 +82,7 @@ def setUp(self): self.quadratureRule) nElements = Mesh.num_elements(self.mesh) - nQuadPoints = QuadratureRule.len(self.quadratureRule) + nQuadPoints = len(self.quadratureRule) self.state = np.zeros((nElements,nQuadPoints,1)) self.dt = 0.0 @@ -151,7 +151,7 @@ def setUp(self): # function space self.fs = FunctionSpace.construct_function_space(self.mesh, self.quadratureRule) nElements = Mesh.num_elements(self.mesh) - nQuadPoints = QuadratureRule.len(self.quadratureRule) + nQuadPoints = len(self.quadratureRule) self.state = np.zeros((nElements,nQuadPoints,)) self.dt = 0.0 @@ -269,7 +269,7 @@ def setUp(self) -> None: # function space self.fs = FunctionSpace.construct_function_space(self.mesh, self.quadratureRule) nElements = Mesh.num_elements(self.mesh) - nQuadPoints = QuadratureRule.len(self.quadratureRule) + nQuadPoints = len(self.quadratureRule) self.state = np.zeros((nElements,nQuadPoints,)) self.dt = 0.0 diff --git a/optimism/test/test_Interpolants.py b/optimism/test/test_Interpolants.py index c38f0763..6354b213 100644 --- a/optimism/test/test_Interpolants.py +++ b/optimism/test/test_Interpolants.py @@ -30,9 +30,9 @@ def setUp(self): self.elements1d = [] self.elements = [] self.qr1d = QuadratureRule.create_quadrature_rule_1D(degree=maxDegree) - self.nQPts1d = QuadratureRule.len(self.qr1d) + self.nQPts1d = len(self.qr1d) self.qr = QuadratureRule.create_quadrature_rule_on_triangle(degree=maxDegree) - self.nQPts = QuadratureRule.len(self.qr) + self.nQPts = len(self.qr) for degree in range(1, maxDegree + 1): self.elements1d.append(Interpolants.make_parent_element_1d(degree)) self.elements.append(Interpolants.make_parent_element_2d(degree)) @@ -171,7 +171,7 @@ def setUp(self): maxDegree = 5 self.elements = [] self.qr = QuadratureRule.create_quadrature_rule_on_triangle(degree=maxDegree) - self.nQPts = QuadratureRule.len(self.qr) + self.nQPts = len(self.qr) for degree in range(2, maxDegree + 1): self.elements.append(Interpolants.make_parent_element_2d_with_bubble(degree)) diff --git a/optimism/test/test_Mechanics.py b/optimism/test/test_Mechanics.py index 38f88611..f92dc1e7 100644 --- a/optimism/test/test_Mechanics.py +++ b/optimism/test/test_Mechanics.py @@ -39,7 +39,7 @@ def setUp(self): def test_internal_variables_initialization_on_multi_block(self): - nQuadPoints = QuadratureRule.len(self.quadRule) + nQuadPoints = len(self.quadRule) internals = Mechanics._compute_initial_state_multi_block(self.fs, self.blockModels) self.assertEqual(internals.shape, (Mesh.num_elements(self.mesh), nQuadPoints, 10)) self.assertArrayEqual(internals[0, 0], np.zeros(J2Plastic.NUM_STATE_VARS)) diff --git a/setup.py b/setup.py index 961cfb5e..c4edecda 100644 --- a/setup.py +++ b/setup.py @@ -5,11 +5,13 @@ description='Rapid development platform for solid mechanics research using optimization tools', author="Michael Tupek and Brandon Talamini", author_email='talamini1@llnl.gov', # todo: make an email list - install_requires=['jax[cpu]==0.4.28', - 'scipy', + install_requires=['equinox', + 'jax[cpu]==0.4.28', + 'jaxtyping', 'matplotlib', # this is not strictly necessary + 'metis', 'netcdf4', - 'metis'], + 'scipy',], #tests_require=[], # could put chex and pytest here extras_require={'sparse': ['scikit-sparse'], 'test': ['pytest', 'pytest-cov', 'pytest-xdist'], From 802ba44fdc0ee49c9e420b591b29513d64c8a87e Mon Sep 17 00:00:00 2001 From: "Craig M. Hamel" Date: Fri, 25 Oct 2024 14:18:05 -0400 Subject: [PATCH 2/2] removing old namedtuple versoin. --- optimism/QuadratureRule.py | 15 --------------- 1 file changed, 15 deletions(-) diff --git a/optimism/QuadratureRule.py b/optimism/QuadratureRule.py index ccd62183..187418b8 100644 --- a/optimism/QuadratureRule.py +++ b/optimism/QuadratureRule.py @@ -1,4 +1,3 @@ -# from collections import namedtuple from jax.lax import switch from jaxtyping import Array, Float import equinox as eqx @@ -8,20 +7,6 @@ import scipy.special - -# QuadratureRule_old = namedtuple('QuadratureRule_old', ['xigauss', 'wgauss']) -# QuadratureRule_old.__doc__ = """Quadrature rule points and weights. -# A ``namedtuple`` containing ``xigauss``, a numpy array of the -# coordinates of the sample points in the reference domain, and -# ``wgauss``, a numpy array with the weights. -# """ - -# def len(quadRule): -# """Gets the number of points in a quadrature rule.""" -# return quadRule.xigauss.shape[0] - - - class QuadratureRule(eqx.Module): """ Quadrature rule points and weights.