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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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6
neural_network/convolution_neural_network.py
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@ -74,7 +74,7 @@ class CNN:
print(f"Model saved： {save_path}")
@classmethod
def ReadModel(cls, model_path):
def read_model(cls, model_path):
# read saved model
with open(model_path, "rb") as f:
model_dic = pickle.load(f)
@ -119,7 +119,7 @@ class CNN:
data_focus.append(focus)
# calculate the feature map of every single kernel, and saved as list of matrix
data_featuremap = []
Size_FeatureMap = int((size_data - size_conv) / conv_step + 1)
size_feature_map = int((size_data - size_conv) / conv_step + 1)
for i_map in range(num_conv):
featuremap = []
for i_focus in range(len(data_focus)):
@ -129,7 +129,7 @@ class CNN:
)
featuremap.append(self.sig(net_focus))
featuremap = np.asmatrix(featuremap).reshape(
Size_FeatureMap, Size_FeatureMap
size_feature_map, size_feature_map
)
data_featuremap.append(featuremap)