Merge pull request #10 from tfm000/dev/cleanup

Dev/cleanup
tfm000 · Nov 4, 2023 · 92094e8 · 92094e8
2 parents f4b0ff5 + aed1aaa
commit 92094e8
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Showing 23 changed files with 10 additions and 1,755 deletions.
diff --git a/.idea/.gitignore b/.idea/.gitignore
diff --git a/.idea/codeStyles/codeStyleConfig.xml b/.idea/codeStyles/codeStyleConfig.xml
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
diff --git a/.idea/misc.xml b/.idea/misc.xml
diff --git a/.idea/modules.xml b/.idea/modules.xml
diff --git a/.idea/sklarpy_copulae.iml b/.idea/sklarpy_copulae.iml
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
diff --git a/README.rst b/README.rst
@@ -10,12 +10,12 @@
 .. image:: https://github.com/sklarpy/sklarpy/actions/workflows/tests.yml/badge.svg
     :alt: Tests
     :scale: 100%
-    :target: https://github.com/sklarpy/sklarpy/actions/workflows/tests.yml
+    :target: https://github.com/tfm000/sklarpy/actions/workflows/tests.yml
 
 .. image:: https://img.shields.io/pypi/l/sklarpy.svg
    :alt: License
    :scale: 100%
-   :target: https://github.com/sklarpy/sklarpy/blob/main/LICENSE
+   :target: https://github.com/tfm000/sklarpy/blob/main/LICENSE
 
 .. image:: https://img.shields.io/pypi/pyversions/sklarpy.svg
    :alt: Python versions
@@ -27,10 +27,10 @@
    :scale: 100%
    :target: https://pepy.tech/project/sklarpy
 
-SklarPy (pronounced "Sky-Lar-Pee" or "Sky-La-Pie") is an open-source software for probability distribution fitting.
-It contains useful tools for fitting copula and univariate probability distributions.
-Named after Sklar's theorem and Abe Sklar, the American mathematician who proved that multivariate cumulative
-distribution functions can be expressed in terms of copulas and their marginals.
+SklarPy (pronounced 'Sky-Lar-Pee' or 'Sky-La-Pie') is an open-source software for probability distribution fitting.
+It contains useful tools for fitting Copula, Multivariate and Univariate probability distributions.
+In addition to over 100 univariate distributions, we implement many multivariate normal mixture distributions and their copulas, including Gaussian, Student-T, Skewed-T and Generalized Hyperbolic distributions and copulas.
+Named after Sklar's theorem and Abe Sklar, the American mathematician who proved that multivariate cumulative distribution functions can be expressed in terms of copulas and their marginals.
 
 =================
 **Installation**

diff --git a/setup.py b/setup.py
@@ -12,7 +12,7 @@
                      "an open-source software for probability distribution "
                      "fitting.  It contains useful tools for fitting Copula, "
                      "Multivariate and Univariate probability distributions. "
-                     "In addition to over 100 univariate distributins, we "
+                     "In addition to over 100 univariate distributions, we "
                      "implement many multivariate normal mixture distributions"
                      " and their copulas, including Gaussian, Student-T, "
                      "Skewed-T and Generalized Hyperbolic distributions and "
@@ -21,9 +21,9 @@
                      "cumulative distribution functions can be expressed in "
                      "terms of copulas and their marginals.",
     author='Tyler Mitchell',
-    author_email='sklarpy@gmail.com',
-    url='https://github.com/sklarpy/sklarpy',
-    download_url='https://github.com/sklarpy/sklarpy/archive/refs/tags/'
+    author_email='tylerfmitchell1999@gmail.com',
+    url='https://github.com/tfm000/sklarpy',
+    download_url='https://github.com/tfm000/sklarpy/archive/refs/tags/'
                  'v0.1.2.tar.gz',
     keywords=[
         'SklarPy',

diff --git a/sklarpy/_other/README.md b/sklarpy/_other/README.md
diff --git a/sklarpy/_other/__init__.py b/sklarpy/_other/__init__.py
diff --git a/sklarpy/_utils/__init__.py b/sklarpy/_utils/__init__.py
@@ -10,8 +10,3 @@
 from sklarpy._utils._not_implemented import NotImplementedBase
 from sklarpy._utils._params import Params
 from sklarpy._utils._serialize import Savable
-
-from sklarpy._utils._values import prob_bounds, near_zero
-from sklarpy._utils._variable_types import numeric, num_or_array, \
-    data_iterable, str_or_iterable, all_user_input_types, dataframe_or_array,\
-    none_or_array
diff --git a/sklarpy/_utils/_values.py b/sklarpy/_utils/_values.py
diff --git a/sklarpy/_utils/_variable_types.py b/sklarpy/_utils/_variable_types.py
diff --git a/sklarpy/tests/conftest.py b/sklarpy/tests/conftest.py
diff --git a/sklarpy/tests/helpers.py b/sklarpy/tests/helpers.py