Revert "Lint again"

This reverts commit 088365d.

Signed-off-by: Laura Couto <[email protected]>

astro-airflow-iris/{{ cookiecutter.repo_name }}/docs/source/conf.py

@@ -1,5 +1,4 @@
 #!/usr/bin/env python3
-# -*- coding: utf-8 -*-
 
 
 # {{ cookiecutter.python_package }} documentation build

spaceflights-pandas-viz/{{ cookiecutter.repo_name }}/docs/source/conf.py

@@ -1,5 +1,4 @@
 #!/usr/bin/env python3
-# -*- coding: utf-8 -*-
 
 
 # {{ cookiecutter.python_package }} documentation build

spaceflights-pandas-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline_registry.py

@@ -1,11 +1,10 @@
 """Project pipelines."""
-from typing import Dict
 
 from kedro.framework.project import find_pipelines
 from kedro.pipeline import Pipeline
 
 
-def register_pipelines() -> Dict[str, Pipeline]:
+def register_pipelines() -> dict[str, Pipeline]:
     """Register the project's pipelines.
 
     Returns:

spaceflights-pandas-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_processing/nodes.py

@@ -1,4 +1,3 @@
-from typing import Dict, Tuple
 
 import pandas as pd
 
@@ -19,7 +18,7 @@ def _parse_money(x: pd.Series) -> pd.Series:
     return x
 
 
-def preprocess_companies(companies: pd.DataFrame) -> Tuple[pd.DataFrame, Dict]:
+def preprocess_companies(companies: pd.DataFrame) -> tuple[pd.DataFrame, dict]:
     """Preprocesses the data for companies.
 
     Args:

spaceflights-pandas-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_science/nodes.py

@@ -1,13 +1,12 @@
 import logging
-from typing import Dict, Tuple
 
 import pandas as pd
 from sklearn.linear_model import LinearRegression
 from sklearn.metrics import max_error, mean_absolute_error, r2_score
 from sklearn.model_selection import train_test_split
 
 
-def split_data(data: pd.DataFrame, parameters: Dict) -> Tuple:
+def split_data(data: pd.DataFrame, parameters: dict) -> tuple:
     """Splits data into features and targets training and test sets.
 
     Args:
@@ -41,7 +40,7 @@ def train_model(X_train: pd.DataFrame, y_train: pd.Series) -> LinearRegression:
 
 def evaluate_model(
     regressor: LinearRegression, X_test: pd.DataFrame, y_test: pd.Series
-) -> Dict[str, float]:
+) -> dict[str, float]:
     """Calculates and logs the coefficient of determination.
 
     Args:

spaceflights-pandas/{{ cookiecutter.repo_name }}/docs/source/conf.py

@@ -1,5 +1,4 @@
 #!/usr/bin/env python3
-# -*- coding: utf-8 -*-
 
 
 # {{ cookiecutter.python_package }} documentation build

spaceflights-pandas/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline_registry.py

@@ -1,11 +1,10 @@
 """Project pipelines."""
-from typing import Dict
 
 from kedro.framework.project import find_pipelines
 from kedro.pipeline import Pipeline
 
 
-def register_pipelines() -> Dict[str, Pipeline]:
+def register_pipelines() -> dict[str, Pipeline]:
     """Register the project's pipelines.
 
     Returns:

spaceflights-pandas/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_science/nodes.py

@@ -1,13 +1,12 @@
 import logging
-from typing import Dict, Tuple
 
 import pandas as pd
 from sklearn.linear_model import LinearRegression
 from sklearn.metrics import r2_score
 from sklearn.model_selection import train_test_split
 
 
-def split_data(data: pd.DataFrame, parameters: Dict) -> Tuple:
+def split_data(data: pd.DataFrame, parameters: dict) -> tuple:
     """Splits data into features and targets training and test sets.
 
     Args:

spaceflights-pyspark-viz/{{ cookiecutter.repo_name }}/docs/source/conf.py

@@ -1,5 +1,4 @@
 #!/usr/bin/env python3
-# -*- coding: utf-8 -*-
 
 
 # {{ cookiecutter.python_package }} documentation build

spaceflights-pyspark-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline_registry.py

@@ -1,11 +1,10 @@
 """Project pipelines."""
-from typing import Dict
 
 from kedro.framework.project import find_pipelines
 from kedro.pipeline import Pipeline
 
 
-def register_pipelines() -> Dict[str, Pipeline]:
+def register_pipelines() -> dict[str, Pipeline]:
     """Register the project's pipelines.
 
     Returns:

spaceflights-pyspark-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_processing/nodes.py

@@ -1,4 +1,3 @@
-from typing import Dict, Tuple
 
 import pandas as pd
 from pyspark.sql import Column
@@ -24,7 +23,7 @@ def _parse_money(x: Column) -> Column:
     return x
 
 
-def preprocess_companies(companies: SparkDataFrame) -> Tuple[SparkDataFrame, Dict]:
+def preprocess_companies(companies: SparkDataFrame) -> tuple[SparkDataFrame, dict]:
     """Preprocesses the data for companies.
 
     Args:

spaceflights-pyspark-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_science/nodes.py

@@ -1,13 +1,12 @@
 import logging
-from typing import Dict, Tuple
 
 import pandas as pd
 from sklearn.linear_model import LinearRegression
 from sklearn.metrics import max_error, mean_absolute_error, r2_score
 from sklearn.model_selection import train_test_split
 
 
-def split_data(data: pd.DataFrame, parameters: Dict) -> Tuple:
+def split_data(data: pd.DataFrame, parameters: dict) -> tuple:
     """Splits data into features and targets training and test sets.
 
     Args:
@@ -41,7 +40,7 @@ def train_model(X_train: pd.DataFrame, y_train: pd.Series) -> LinearRegression:
 
 def evaluate_model(
     regressor: LinearRegression, X_test: pd.DataFrame, y_test: pd.Series
-) -> Dict[str, float]:
+) -> dict[str, float]:
     """Calculates and logs the coefficient of determination.
 
     Args:

spaceflights-pyspark/{{ cookiecutter.repo_name }}/docs/source/conf.py

@@ -1,5 +1,4 @@
 #!/usr/bin/env python3
-# -*- coding: utf-8 -*-
 
 
 # {{ cookiecutter.python_package }} documentation build

spaceflights-pyspark/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline_registry.py

@@ -1,11 +1,10 @@
 """Project pipelines."""
-from typing import Dict
 
 from kedro.framework.project import find_pipelines
 from kedro.pipeline import Pipeline
 
 
-def register_pipelines() -> Dict[str, Pipeline]:
+def register_pipelines() -> dict[str, Pipeline]:
     """Register the project's pipelines.
 
     Returns:

spaceflights-pyspark/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_science/nodes.py

@@ -1,13 +1,12 @@
 import logging
-from typing import Dict, Tuple
 
 import pandas as pd
 from sklearn.linear_model import LinearRegression
 from sklearn.metrics import r2_score
 from sklearn.model_selection import train_test_split
 
 
-def split_data(data: pd.DataFrame, parameters: Dict) -> Tuple:
+def split_data(data: pd.DataFrame, parameters: dict) -> tuple:
     """Splits data into features and targets training and test sets.
 
     Args: