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Add pep8-naming to pre-commit hooks and fixes incorrect naming conventions (#7062)

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* ci(pre-commit): Add pep8-naming to `pre-commit` hooks (#7038)

* refactor: Fix naming conventions (#7038)

* Update arithmetic_analysis/lu_decomposition.py

Co-authored-by: Christian Clauss <cclauss@me.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* refactor(lu_decomposition): Replace `NDArray` with `ArrayLike` (#7038)

* chore: Fix naming conventions in doctests (#7038)

* fix: Temporarily disable project euler problem 104 (#7069)

* chore: Fix naming conventions in doctests (#7038)

Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Caeden
2022-10-12 23:54:20 +01:00
committed by GitHub
parent e2cd982b11
commit 07e991d553
140 changed files with 1552 additions and 1536 deletions
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10
machine_learning/word_frequency_functions.py
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@ -83,7 +83,7 @@ the third document in the corpus.")
return (len([doc for doc in docs if term in doc]), len(docs))
def inverse_document_frequency(df: int, N: int, smoothing=False) -> float:
def inverse_document_frequency(df: int, n: int, smoothing=False) -> float:
"""
Return an integer denoting the importance
of a word. This measure of importance is
@ -109,15 +109,15 @@ def inverse_document_frequency(df: int, N: int, smoothing=False) -> float:
1.477
"""
if smoothing:
if N == 0:
if n == 0:
raise ValueError("log10(0) is undefined.")
return round(1 + log10(N / (1 + df)), 3)
return round(1 + log10(n / (1 + df)), 3)
if df == 0:
raise ZeroDivisionError("df must be > 0")
elif N == 0:
elif n == 0:
raise ValueError("log10(0) is undefined.")
return round(log10(N / df), 3)
return round(log10(n / df), 3)
def tf_idf(tf: int, idf: int) -> float: