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

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* 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 <cclauss@me.com>
This commit is contained in:
Caeden Perelli-Harris 2022-11-01 19:25:39 +00:00 committed by GitHub
parent 4e6c1c049d
commit f512b4d105
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4 changed files with 3 additions and 3 deletions
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1
.github/workflows/build.yml vendored
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@ -25,7 +25,6 @@ jobs:
# See: #6591 for re-enabling tests on Python v3.11 # See: #6591 for re-enabling tests on Python v3.11
run: pytest run: pytest
--ignore=computer_vision/cnn_classification.py --ignore=computer_vision/cnn_classification.py
--ignore=machine_learning/forecasting/run.py
--ignore=machine_learning/lstm/lstm_prediction.py --ignore=machine_learning/lstm/lstm_prediction.py
--ignore=quantum/ --ignore=quantum/
--ignore=project_euler/ --ignore=project_euler/

2
machine_learning/xgboost_classifier.py
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@ -23,7 +23,7 @@ def data_handling(data: dict) -> tuple:
def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier: 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, XGBClassifier(base_score=0.5, booster='gbtree', callbacks=None,
colsample_bylevel=1, colsample_bynode=1, colsample_bytree=1, colsample_bylevel=1, colsample_bynode=1, colsample_bytree=1,
early_stopping_rounds=None, enable_categorical=False, early_stopping_rounds=None, enable_categorical=False,

0
other/pascal_triangle.py → matrix/pascal_triangle.py
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3
requirements.txt
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@ -1,4 +1,5 @@
beautifulsoup4 beautifulsoup4
cython>=0.29.28 # For statsmodels on Python 3.11
fake_useragent fake_useragent
keras keras
lxml lxml
@ -13,7 +14,7 @@ requests
rich rich
scikit-fuzzy scikit-fuzzy
sklearn sklearn
statsmodels; python_version < "3.11" statsmodels
sympy sympy
tensorflow; python_version < "3.11" tensorflow; python_version < "3.11"
texttable texttable