ci: pre-commit autoupdate (#69)

chrislemke · Jan 24, 2023 · 6241a09 · 6241a09
1 parent 6e6ce3e
commit 6241a09
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Showing 7 changed files with 3 additions and 23 deletions.
diff --git a/.github/workflows/pr-check.yml b/.github/workflows/pr-check.yml
@@ -1,7 +1,7 @@
 name: PRCheck
 on:
   pull_request_target:
-    types: [opened, edited, reopened]
+    types: [opened, edited, synchronize, reopened]
 
 permissions:
   contents: read

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
@@ -69,7 +69,7 @@ repos:
       - id: text-unicode-replacement-char
 
   - repo: https://github.com/PyCQA/docformatter
-    rev: v1.5.1
+    rev: v1.6.0.rc1
     hooks:
       - id: docformatter
 
@@ -105,7 +105,7 @@ repos:
         args: ["--profile=black"]
 
   - repo: https://github.com/PyCQA/pylint
-    rev: v2.15.10
+    rev: v2.16.0b1
     hooks:
       - id: pylint
         args: ["--rcfile=pyproject.toml"]

diff --git a/src/sk_transformers/datetime_transformer.py b/src/sk_transformers/datetime_transformer.py
@@ -167,7 +167,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pandas.DataFrame: The transformed DataFrame.
         """
-
         X = check_ready_to_transform(self, X, list(self.features))
 
         duration_series = pd.to_datetime(
@@ -225,7 +224,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pandas.DataFrame: Dataframe with transformed columns.
         """
-
         X = check_ready_to_transform(self, X, self.features)
 
         for column in self.features:

diff --git a/src/sk_transformers/deep_transformer.py b/src/sk_transformers/deep_transformer.py
@@ -112,7 +112,6 @@ def fit(self, X: pd.DataFrame, y: NDArray) -> "ToVecTransformer":
         Returns:
             ToVecTransformer: The fitted transformer.
         """
-
         self.fitted_ = True
 
         preprocessor = TabPreprocessor(
@@ -164,7 +163,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pd.DataFrame: The embeddings.
         """
-
         X = check_ready_to_transform(
             self,
             X,

diff --git a/src/sk_transformers/generic_transformer.py b/src/sk_transformers/generic_transformer.py
@@ -55,7 +55,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pandas.DataFrame: Transformed dataframe.
         """
-
         X = check_ready_to_transform(
             self,
             X,
@@ -212,7 +211,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pd.DataFrame: Transformed dataframe. It contains the original columns and the new columns created by this transformer.
         """
-
         X = check_ready_to_transform(
             self,
             X,
@@ -292,7 +290,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pandas.DataFrame: The original dataframe with the modified columns.
         """
-
         X = check_ready_to_transform(self, X, [feature[0] for feature in self.features])
 
         for (column, func, kwargs) in self.features:
@@ -344,7 +341,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
             pandas.DataFrame: The dataframe containing
                 the new column together with the non-transformed original columns.
         """
-
         X = check_ready_to_transform(self, X, [feature[0] for feature in self.features])
 
         for (feature, callback) in self.features:
@@ -543,7 +539,6 @@ def transform(self, Xy: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pd.DataFrame: Dataframe with the queries applied.
         """
-
         Xy = check_ready_to_transform(
             self, Xy, Xy.columns, force_all_finite="allow-nan"
         )
@@ -609,7 +604,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pd.DataFrame: Dataframe with replaced values.
         """
-
         X = check_ready_to_transform(
             self, X, [feature[0][0] for feature in self.features]
         )
@@ -688,7 +682,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pd.DataFrame: Dataframe joined on the given columns.
         """
-
         X = check_ready_to_transform(
             self,
             X,
@@ -757,7 +750,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pd.DataFrame: Dataframe with replaced values.
         """
-
         X = check_ready_to_transform(
             self,
             X,

diff --git a/src/sk_transformers/number_transformer.py b/src/sk_transformers/number_transformer.py
@@ -81,7 +81,6 @@ def __abbreviate_numpy_in_operation(self, operation: str) -> str:
         Returns:
             str: The operation as a string with numpy replaced with np.
         """
-
         if operation.startswith("numpy"):
             operation = "np" + operation[5:]
         return operation
@@ -96,7 +95,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
             pandas.DataFrame: The original dataframe with the new columns. The new columns are named as follows:
             '`column_name`_`operation`_`value`' or '`column_name`_`operation`' if `value` is `None`.
         """
-
         X = check_ready_to_transform(self, X, [feature[0] for feature in self.features])
 
         for (feature, operation, value, kwargs) in self.features:

diff --git a/src/sk_transformers/string_transformer.py b/src/sk_transformers/string_transformer.py
@@ -64,7 +64,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pandas.DataFrame: Transformed dataframe.
         """
-
         X = check_ready_to_transform(self, X, self.features)
 
         function = functools.partial(
@@ -132,7 +131,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pandas.DataFrame: Transformed dataframe containing the extra columns.
         """
-
         X = check_ready_to_transform(self, X, self.features)
 
         for column in self.features:
@@ -221,7 +219,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pandas.DataFrame: Original dataframe containing the extra column with the calculated similarity.
         """
-
         X = check_ready_to_transform(self, X, list(self.features))
 
         X[f"{self.features[0]}_{self.features[1]}_similarity"] = X[
@@ -297,7 +294,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pandas.DataFrame: Original dataframe containing the extra column with the calculated similarity.
         """
-
         X = check_ready_to_transform(self, X, self.features)
 
         for column in self.features:
@@ -382,7 +378,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
         Returns:
             pandas.DataFrame: Original dataframe with sliced strings in specified features.
         """
-
         X = check_ready_to_transform(self, X, [feature[0] for feature in self.features])
 
         for feature, slice_args in self.features:
@@ -441,7 +436,6 @@ def transform(self, X: pd.DataFrame) -> pd.DataFrame:
             pandas.DataFrame: Dataframe containing additional columns containing
                 each split part of the string.
         """
-
         X = check_ready_to_transform(self, X, [feature[0] for feature in self.features])
 
         for column, separator, maxsplit in self.features: