lint fixes

fedot/api/api_utils/input_analyser.py

@@ -1,18 +1,16 @@
 from functools import partial
 from inspect import signature
-from typing import Dict, Tuple, Any, Union
+from typing import Any, Dict, Tuple, Union
 
 import numpy as np
 from golem.core.log import default_log
 
-from fedot.core.composer.meta_rules import get_cv_folds_number, get_recommended_preset, \
-    get_early_stopping_generations
+from fedot.core.composer.meta_rules import get_cv_folds_number, get_early_stopping_generations, get_recommended_preset
 from fedot.core.data.data import InputData
 from fedot.core.data.data_preprocessing import find_categorical_columns
 from fedot.core.data.multi_modal import MultiModalData
 from fedot.core.repository.dataset_types import DataTypesEnum
 
-
 meta_rules = [get_cv_folds_number,
               get_recommended_preset,
               get_early_stopping_generations]

fedot/core/data/data.py

@@ -2,14 +2,12 @@
 
 import glob
 import os
-
 from copy import copy, deepcopy
 from dataclasses import dataclass, field
 from typing import Any, Iterable, List, Optional, Tuple, Union
 
 import numpy as np
 import pandas as pd
-
 from golem.core.log import default_log
 from golem.utilities.requirements_notificator import warn_requirement
 

fedot/core/data/data_preprocessing.py

@@ -1,9 +1,9 @@
-from typing import Tuple, Optional
+from typing import Optional, Tuple
 
 import numpy as np
 import pandas as pd
 
-from fedot.core.data.data import InputData, data_type_is_table, data_type_is_ts, data_type_is_multi_ts
+from fedot.core.data.data import InputData, data_type_is_multi_ts, data_type_is_table, data_type_is_ts
 from fedot.core.repository.dataset_types import DataTypesEnum
 from fedot.preprocessing.data_types import TYPE_TO_ID
 

fedot/core/data/merge/supplementary_data_merger.py

@@ -1,4 +1,4 @@
-from typing import List, Dict
+from typing import Dict, List
 
 import numpy as np
 from golem.core.log import default_log

fedot/core/data/supplementary_data.py

@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from typing import Optional, Dict
+from typing import Dict, Optional
 
 import numpy as np
 

fedot/core/operations/evaluation/operation_implementations/data_operations/categorical_encoders.py

@@ -2,7 +2,6 @@
 from typing import List, Optional
 
 import numpy as np
-
 from sklearn.preprocessing import LabelEncoder, OneHotEncoder
 
 from fedot.core.data.data import InputData, OutputData

fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_selectors.py

@@ -5,7 +5,7 @@
 from sklearn.linear_model import LinearRegression, LogisticRegression
 from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
 
-from fedot.core.data.data import OutputData, InputData
+from fedot.core.data.data import InputData, OutputData
 from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import \
     DataOperationImplementation
 from fedot.core.operations.operation_parameters import OperationParameters

fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_transformations.py

@@ -3,13 +3,13 @@
 
 import numpy as np
 import pandas as pd
-from sklearn.decomposition import KernelPCA, PCA, FastICA
+from sklearn.decomposition import FastICA, KernelPCA, PCA
 from sklearn.impute import SimpleImputer
 from sklearn.preprocessing import MinMaxScaler, PolynomialFeatures, StandardScaler
 
-from fedot.core.data.data import InputData, data_type_is_table, OutputData
-from fedot.core.data.data_preprocessing import replace_inf_with_nans, convert_into_column, \
-    divide_data_categorical_numerical, find_categorical_columns, data_has_categorical_features
+from fedot.core.data.data import InputData, OutputData, data_type_is_table
+from fedot.core.data.data_preprocessing import convert_into_column, data_has_categorical_features, \
+    divide_data_categorical_numerical, find_categorical_columns, replace_inf_with_nans
 from fedot.core.operations.evaluation.operation_implementations. \
     implementation_interfaces import DataOperationImplementation, EncodedInvariantImplementation
 from fedot.core.operations.operation_parameters import OperationParameters

fedot/core/operations/evaluation/operation_implementations/implementation_interfaces.py

@@ -5,7 +5,7 @@
 import numpy as np
 from golem.core.log import default_log
 
-from fedot.core.data.data import OutputData, InputData
+from fedot.core.data.data import InputData, OutputData
 from fedot.core.operations.operation_parameters import OperationParameters
 from fedot.core.repository.dataset_types import DataTypesEnum
 

fedot/core/operations/operation.py

@@ -1,5 +1,5 @@
 from abc import abstractmethod
-from typing import Optional, Union, Dict, Any
+from typing import Any, Dict, Optional, Union
 
 from golem.core.log import default_log
 from golem.serializers.serializer import register_serializable
@@ -120,7 +120,6 @@ def predict_for_fit(self, fitted_operation, data: InputData, params: Optional[Op
     def _predict(self, fitted_operation, data: InputData, params: Optional[OperationParameters] = None,
                  output_mode: str = 'default', is_fit_stage: bool = False):
 
-
         is_main_target = data.supplementary_data.is_main_target
         data_flow_length = data.supplementary_data.data_flow_length
         self._init(data.task, output_mode=output_mode, params=params, n_samples_data=data.features.shape[0])

fedot/core/repository/json_evaluation.py

@@ -1,5 +1,5 @@
 from importlib import import_module
-from typing import Union, TYPE_CHECKING, List
+from typing import List, TYPE_CHECKING, Union
 
 # imports are required beneath in the function
 from fedot.core.repository.dataset_types import DataTypesEnum

fedot/core/repository/operation_types_repository.py

@@ -2,13 +2,13 @@
 import os
 from collections import defaultdict
 from dataclasses import dataclass
-from typing import Dict, List, Optional, Union, TYPE_CHECKING
+from typing import Dict, List, Optional, TYPE_CHECKING, Union
 
 import numpy as np
 from golem.core.log import default_log
 from golem.core.utilities.data_structures import ensure_wrapped_in_sequence
 
-from fedot.core.constants import BEST_QUALITY_PRESET_NAME, AUTO_PRESET_NAME
+from fedot.core.constants import AUTO_PRESET_NAME, BEST_QUALITY_PRESET_NAME
 from fedot.core.repository.dataset_types import DataTypesEnum
 from fedot.core.repository.json_evaluation import import_enums_from_str, import_strategy_from_str, read_field
 from fedot.core.repository.tasks import Task, TaskTypesEnum

fedot/preprocessing/base_preprocessing.py

@@ -1,5 +1,5 @@
 from abc import ABC, abstractmethod
-from typing import Dict, Union, TYPE_CHECKING
+from typing import Dict, TYPE_CHECKING, Union
 
 import numpy as np
 from sklearn.preprocessing import LabelEncoder

fedot/preprocessing/categorical.py

@@ -6,7 +6,7 @@
 
 from fedot.core.data.data import InputData
 from fedot.core.data.data_preprocessing import find_categorical_columns
-from fedot.preprocessing.data_types import TYPE_TO_ID, FEDOT_STR_NAN
+from fedot.preprocessing.data_types import FEDOT_STR_NAN, TYPE_TO_ID
 
 
 class BinaryCategoricalPreprocessor:

fedot/preprocessing/data_types.py

@@ -1,10 +1,11 @@
 from __future__ import annotations
 
 from collections.abc import Sequence
-from typing import TYPE_CHECKING, Tuple, Optional, List, Dict
+from typing import TYPE_CHECKING, Dict, List, Optional, Tuple
 
 import numpy as np
 import pandas as pd
+
 from golem.core.log import LoggerAdapter, default_log
 
 from fedot.core.repository.tasks import Task, TaskTypesEnum

fedot/preprocessing/dummy_preprocessing.py

@@ -1,4 +1,4 @@
-from typing import Union, TYPE_CHECKING
+from typing import TYPE_CHECKING, Union
 
 import numpy as np
 from golem.core.log import default_log

fedot/preprocessing/preprocessing.py

@@ -1,5 +1,5 @@
 from copy import copy
-from typing import Union, Optional
+from typing import Optional, Union
 
 import numpy as np
 import pandas as pd
@@ -8,7 +8,7 @@
 from sklearn.preprocessing import LabelEncoder
 
 from fedot.core.data.data import InputData, np_datetime_to_numeric
-from fedot.core.data.data import OutputData, data_type_is_table, data_type_is_ts, data_type_is_text
+from fedot.core.data.data import OutputData, data_type_is_table, data_type_is_text, data_type_is_ts
 from fedot.core.data.data_preprocessing import (
     data_has_categorical_features,
     data_has_missing_values,
@@ -28,7 +28,7 @@
 from fedot.core.repository.tasks import TaskTypesEnum
 from fedot.preprocessing.base_preprocessing import BasePreprocessor
 from fedot.preprocessing.categorical import BinaryCategoricalPreprocessor
-from fedot.preprocessing.data_type_check import exclude_ts, exclude_multi_ts, exclude_image
+from fedot.preprocessing.data_type_check import exclude_image, exclude_multi_ts, exclude_ts
 from fedot.preprocessing.data_types import TYPE_TO_ID, TableTypesCorrector
 from fedot.preprocessing.structure import DEFAULT_SOURCE_NAME, PipelineStructureExplorer
 

requirements.txt

@@ -1,5 +1,5 @@
 # Base framework
-thegolem @ git+https://github.com/aimclub/GOLEM.git@stable#egg=thegolem
+thegolem@ git+https://github.com/aimclub/GOLEM.git@stable#egg=thegolem
 
 # Data
 numpy>=1.16.0, !=1.24.0

test/integration/models/test_repository.py

@@ -7,7 +7,7 @@
 from fedot.core.repository.operation_types_repository import (OperationTypesRepository,
                                                               get_operation_type_from_id)
 from fedot.core.repository.pipeline_operation_repository import PipelineOperationRepository
-from fedot.core.repository.tasks import TaskTypesEnum, Task
+from fedot.core.repository.tasks import Task, TaskTypesEnum
 
 
 def mocked_path():

test/unit/preprocessing/test_preprocessors.py

@@ -7,13 +7,13 @@
 from fedot.core.pipelines.node import PipelineNode
 from fedot.core.pipelines.pipeline import Pipeline
 from fedot.core.repository.dataset_types import DataTypesEnum
-from fedot.core.repository.tasks import TaskTypesEnum, Task
+from fedot.core.repository.tasks import Task, TaskTypesEnum
 from fedot.core.utils import fedot_project_root
 from fedot.preprocessing.data_types import TYPE_TO_ID
 from fedot.preprocessing.data_types import TableTypesCorrector, apply_type_transformation
 from fedot.preprocessing.structure import DEFAULT_SOURCE_NAME
-from test.unit.preprocessing.test_pipeline_preprocessing import data_with_mixed_types_in_each_column, \
-    correct_preprocessing_params
+from test.unit.preprocessing.test_pipeline_preprocessing import correct_preprocessing_params, \
+    data_with_mixed_types_in_each_column
 
 
 def get_mixed_data_with_str_and_float_values(idx: int = None):