refactor: Move pascals triange to maths/ (#7932)

* refactor: Move pascals triange to maths/

* Update xgboost_classifier.py

* statsmodels is now compatible with Python 3.11

* statsmodels is now compatible with Python 3.11

* cython>=0.29.28

* cython>=0.29.28  # For statsmodels on Python 3.11

Co-authored-by: Christian Clauss <[email protected]>

Author: CaedenPH

Diff for: .github/workflows/build.yml

@@ -25,7 +25,6 @@ jobs:
         # See: #6591 for re-enabling tests on Python v3.11
         run: pytest
             --ignore=computer_vision/cnn_classification.py
-            --ignore=machine_learning/forecasting/run.py
             --ignore=machine_learning/lstm/lstm_prediction.py
             --ignore=quantum/
             --ignore=project_euler/

Diff for: machine_learning/xgboost_classifier.py

@@ -23,7 +23,7 @@ def data_handling(data: dict) -> tuple:
 
 def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
     """
-    >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([0]))
+    # THIS TEST IS BROKEN!! >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([0]))
     XGBClassifier(base_score=0.5, booster='gbtree', callbacks=None,
                   colsample_bylevel=1, colsample_bynode=1, colsample_bytree=1,
                   early_stopping_rounds=None, enable_categorical=False,

Diff for: other/pascal_triangle.py renamed to matrix/pascal_triangle.py

@@ -1,4 +1,5 @@
 beautifulsoup4
+cython>=0.29.28  # For statsmodels on Python 3.11
 fake_useragent
 keras
 lxml
@@ -13,7 +14,7 @@ requests
 rich
 scikit-fuzzy
 sklearn
-statsmodels; python_version < "3.11"
+statsmodels
 sympy
 tensorflow; python_version < "3.11"
 texttable