




'''simple docstring'''


from typing import List, Optional, TypeVar

from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets
from .splits import NamedSplit
from .utils import logging
from .utils.py_utils import Literal


_snake_case   :   Union[str, Any]     							=	logging.get_logger(__name__)


_snake_case   :   List[Any]     							=	TypeVar('DatasetType', Dataset, IterableDataset)
def 	snake_case_					(UpperCamelCase :						List[DatasetType]				,		UpperCamelCase :						Optional[List[float]] = None				,		UpperCamelCase :						Optional[int] = None				,		UpperCamelCase :						Optional[DatasetInfo] = None				,		UpperCamelCase :						Optional[NamedSplit] = None				,		UpperCamelCase :						Literal["first_exhausted", "all_exhausted"] = "first_exhausted"				,		):





							'''simple docstring'''


							from .arrow_dataset import Dataset
							from .iterable_dataset import IterableDataset

							if not datasets:
														raise ValueError('''Unable to interleave an empty list of datasets.'''   )
							for i, dataset in enumerate(snake_case__   ):
														if not isinstance(snake_case__				,		(Dataset, IterableDataset)   ):
																					if isinstance(snake_case__				,		(DatasetDict, IterableDatasetDict)   ):
																												if not dataset:
																																			raise ValueError(
																																			    f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '
																																			    '''is an empty dataset dictionary.'''   )
																												raise ValueError(
																												    f'Dataset at position {i} has at least one split: {list(snake_case__   )}\n'
																												    f'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(snake_case__   )   )}\']'   )
																					raise ValueError(
																					    f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(snake_case__   ).__name__}.'   )
														if i == 0:
																					_a  ,							_a			  =       (
																					    (Dataset, IterableDataset) if isinstance(snake_case__				,		snake_case__   ) else (IterableDataset, Dataset)
																					)
														elif not isinstance(snake_case__				,		snake_case__   ):
																					raise ValueError(
																					    f'Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'   )
							if stopping_strategy not in ["first_exhausted", "all_exhausted"]:
														raise ValueError(f'{stopping_strategy} is not supported. Please enter a valid stopping_strategy.'   )
							if dataset_type is Dataset:
														return _interleave_map_style_datasets(
														    snake_case__				,		snake_case__				,		snake_case__				,		info=snake_case__				,		split=snake_case__				,		stopping_strategy=snake_case__   )
							else:
														return _interleave_iterable_datasets(
														    snake_case__				,		snake_case__				,		snake_case__				,		info=snake_case__				,		split=snake_case__				,		stopping_strategy=snake_case__   )

def 	snake_case_					(UpperCamelCase :						List[DatasetType]				,		UpperCamelCase :						Optional[DatasetInfo] = None				,		UpperCamelCase :						Optional[NamedSplit] = None				,		UpperCamelCase :						int = 0				,		):





							'''simple docstring'''


							if not dsets:
														raise ValueError('''Unable to concatenate an empty list of datasets.'''   )
							for i, dataset in enumerate(snake_case__   ):
														if not isinstance(snake_case__				,		(Dataset, IterableDataset)   ):
																					if isinstance(snake_case__				,		(DatasetDict, IterableDatasetDict)   ):
																												if not dataset:
																																			raise ValueError(
																																			    f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '
																																			    '''is an empty dataset dictionary.'''   )
																												raise ValueError(
																												    f'Dataset at position {i} has at least one split: {list(snake_case__   )}\n'
																												    f'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(snake_case__   )   )}\']'   )
																					raise ValueError(
																					    f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(snake_case__   ).__name__}.'   )
														if i == 0:
																					_a  ,							_a			  =       (
																					    (Dataset, IterableDataset) if isinstance(snake_case__				,		snake_case__   ) else (IterableDataset, Dataset)
																					)
														elif not isinstance(snake_case__				,		snake_case__   ):
																					raise ValueError(
																					    f'Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'   )
							if dataset_type is Dataset:
														return _concatenate_map_style_datasets(snake_case__				,		info=snake_case__				,		split=snake_case__				,		axis=snake_case__   )
							else:
														return _concatenate_iterable_datasets(snake_case__				,		info=snake_case__				,		split=snake_case__				,		axis=snake_case__   )







'''simple docstring'''


import os

import pytest

from transformers.dynamic_module_utils import get_imports


_snake_case   :   List[str]     							=	'\nimport os\n'

_snake_case   :   Dict     							=	'\ndef foo():\n    import os\n    return False\n'

_snake_case   :   List[Any]     							=	'\ndef foo():\n    def bar():\n        if True:\n            import os\n        return False\n    return bar()\n'

_snake_case   :   Dict     							=	'\nimport os\n\ntry:\n    import bar\nexcept ImportError:\n    raise ValueError()\n'

_snake_case   :   Optional[Any]     							=	'\nimport os\n\ndef foo():\n    try:\n        import bar\n    except ImportError:\n        raise ValueError()\n'

_snake_case   :   Optional[Any]     							=	'\nimport os\n\ntry:\n    import bar\nexcept (ImportError, AttributeError):\n    raise ValueError()\n'

_snake_case   :   Any     							=	'\nimport os\n\ntry:\n    import bar\nexcept ImportError as e:\n    raise ValueError()\n'

_snake_case   :   List[str]     							=	'\nimport os\n\ntry:\n    import bar\nexcept:\n    raise ValueError()\n'

_snake_case   :   Dict     							=	'\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    raise ValueError()\n'

_snake_case   :   Any     							=	'\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    x = 1\n    raise ValueError()\n'

_snake_case   :   Union[str, Any]     							=	[
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]
@pytest.mark.parametrize('''case'''				,		UpperCamelCase   )
def 	snake_case_					(UpperCamelCase :						str				,		UpperCamelCase :						List[Any]   ):





							'''simple docstring'''


							_a			  =       os.path.join(UpperCamelCase				,		'''test_file.py'''   )
							with open(UpperCamelCase				,		'''w'''   ) as _tmp_file:
														_tmp_file.write(UpperCamelCase   )

							_a			  =       get_imports(UpperCamelCase   )
							assert parsed_imports == ["os"]

