run pre-commit in all files

.flake8

@@ -1,5 +1,5 @@
 [flake8]
-ignore = E203, E266, E501, W503
+ignore = E203, E266, E501, W503, E741
 max-line-length = 88
 max-complexity = 18
 select = B,C,E,F,W,T4

.pre-commit-config.yaml

@@ -57,9 +57,10 @@ repos:
     - id: flake8
       name: "[py   - check] flake8"
       language_version: python3.9
+      exclude: ^(examples/|tests/)
 
 - repo: https://github.com/psf/black
-  rev: 19.3b0
+  rev: 22.8.0
   hooks:
     - id: black
 - repo: https://github.com/pre-commit/mirrors-isort
@@ -68,7 +69,7 @@ repos:
     - id: isort
       name: "[py   - format] isort"
 - repo: https://github.com/ambv/black
-  rev: 20.8b1
+  rev: 22.8.0
   hooks:
     - id: black
       name: "[py   - format] black"

docs/conf.py

@@ -8,19 +8,18 @@
 #
 # All configuration values have a default; values that are commented out
 # serve to show the default.
+import os
+import sys
+
+# import sphinx_rtd_theme
 
 # General information about the project.
-project = u"pyramids"
+project = "pyramids"
 author = "Mostafa Farrag"
 
 # copyright = u"2013-2019, "
 
 
-import os
-import sys
-
-# import sphinx_rtd_theme
-
 html_theme = "sphinxdoc"
 # html_theme = "agogo"
 html_theme_path = ["."]
@@ -207,7 +206,7 @@
 # Grouping the document tree into LaTeX files. List of tuples
 # (source start file, target name, title, author, documentclass [howto/manual]).
 latex_documents = [
-    ("index", "pyramids.tex", u"pyramids Documentation", u"Mostafa Farrag", "report")
+    ("index", "pyramids.tex", "pyramids Documentation", "Mostafa Farrag", "report")
 ]
 
 # The name of an image file (relative to this directory) to place at the top of
@@ -250,8 +249,8 @@
     (
         "index",
         "pyramids",
-        u"pyramids Documentation",
-        u"Mostafa Farrag",
+        "pyramids Documentation",
+        "Mostafa Farrag",
         "pyramids",
         "One line description of project.",
         "Miscellaneous",

examples/Extreme value statistics.py

@@ -1,5 +1,4 @@
-"""
-Created on Wed Sep  9 23:31:11 2020
+"""Created on Wed Sep  9 23:31:11 2020.
 
 @author: mofarrag
 """
@@ -8,7 +7,7 @@
 os.chdir(r"C:\MyComputer\01Algorithms\Statistics\statista")
 import matplotlib
 
-matplotlib.use('TkAgg')
+matplotlib.use("TkAgg")
 # import scipy.optimize as so
 # import matplotlib.pyplot as plt
 # import numpy as np
@@ -112,16 +111,28 @@
 
 func = ConfidenceInterval.GEVfunc
 upper, lower = Gevdist.confidenceInterval(
-    shape, loc, scale, F=cdf_Weibul, alpha=0.1, statfunction=func, n_samples=len(time_series1)
+    shape,
+    loc,
+    scale,
+    F=cdf_Weibul,
+    alpha=0.1,
+    statfunction=func,
+    n_samples=len(time_series1),
 )
 #%%
 """
 calculate the confidence interval using the boot strap method directly
 """
 CI = ConfidenceInterval.BootStrap(
-    time_series1, statfunction=func, gevfit=Param_dist, n_samples=len(time_series1), F=cdf_Weibul
+    time_series1,
+    statfunction=func,
+    gevfit=Param_dist,
+    n_samples=len(time_series1),
+    F=cdf_Weibul,
 )
 LB = CI["LB"]
 UB = CI["UB"]
 #%%
-fig, ax = Gevdist.probapilityPlot(shape, loc, scale, cdf_Weibul, func=func, n_samples=len(time_series1))
+fig, ax = Gevdist.probapilityPlot(
+    shape, loc, scale, cdf_Weibul, func=func, n_samples=len(time_series1)
+)

examples/SensitivityAnalysis.py

@@ -1,5 +1,4 @@
-"""
-Created on Sun Jun 21 01:55:25 2020
+"""Created on Sun Jun 21 01:55:25 2020.
 
 @author: mofarrag
 """
@@ -10,7 +9,7 @@
 # os.chdir(Path)
 import pandas as pd
 
-matplotlib.use('TkAgg')
+matplotlib.use("TkAgg")
 
 # functions
 import Hapi.rrm.hbv_bergestrom92 as HBVLumped

examples/interpolation.py

@@ -1,5 +1,4 @@
-"""
-Created on Sat Apr  3 16:02:54 2021
+"""Created on Sat Apr  3 16:02:54 2021.
 
 @author: mofarrag
 """

requirements.txt

@@ -2,6 +2,5 @@ loguru >=0.6.0
 matplotlib >=3.5.3
 pandas >=1.4.4
 pip >=22.2.2
-# python >=3.9,<3.12
 scikit-learn >=1.1.2
 scipy >=1.9.1

setup.py

@@ -3,13 +3,15 @@
 with open("README.md", "r") as readme_file:
     readme = readme_file.read()
 
-with open('HISTORY.rst') as history_file:
+with open("HISTORY.rst") as history_file:
     history = history_file.read()
 
 requirements = [line.strip() for line in open("requirements.txt").readlines()]
 requirements = requirements[1:]
 
-test_requirements = ['pytest>=3', ]
+test_requirements = [
+    "pytest>=3",
+]
 
 setup(
     name="statista",
@@ -19,20 +21,20 @@
     author_email="[email protected]",
     url="https://github.com/MAfarrag/statista",
     keywords=["statistics", "distributions"],
-    long_description=readme + '\n\n' + history,
+    long_description=readme + "\n\n" + history,
     long_description_content_type="text/markdown",
     license="GNU General Public License v3",
     zip_safe=False,
-    packages=find_packages(include=['statista', 'statista.*']),
+    packages=find_packages(include=["statista", "statista.*"]),
     test_suite="tests",
     tests_require=test_requirements,
     install_requires=requirements,
     classifiers=[
         "Development Status :: 5 - Production/Stable",
         "Environment :: Console",
-        'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
+        "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
         "Natural Language :: English",
-        'Programming Language :: Python :: 3',
+        "Programming Language :: Python :: 3",
         "Programming Language :: Python :: 3.7",
         "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",

statista/__init__.py

@@ -13,7 +13,7 @@
 
 # documentation format
 __author__ = "Mostafa Farrag"
-__email__ = '[email protected]'
+__email__ = "[email protected]"
 __docformat__ = "restructuredtext"
 
 # Let users know if they're missing any of our hard dependencies
@@ -25,15 +25,16 @@
         __import__(dependency)
     except ImportError as e:
         missing_dependencies.append(dependency)
+        print(e)
 
 if missing_dependencies:
     raise ImportError("Missing required dependencies {0}".format(missing_dependencies))
 
-import statista.distributions
-import statista.metrics
-import statista.parameters
-import statista.sensitivity
-import statista.tools
+# import statista.distributions
+# import statista.metrics
+# import statista.parameters
+# import statista.sensitivity
+# import statista.tools
 
 __doc__ = """
 statista - statistics package