
"""simple docstring"""



from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url
@pytest.mark.parametrize('''repo_id''' ,					['''canonical_dataset_name''', '''org-name/dataset-name''']		)
@pytest.mark.parametrize('''path''' ,					['''filename.csv''', '''filename with blanks.csv''']		)
@pytest.mark.parametrize('''revision''' ,					[None, '''v2''']		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       str ,					__lowerCamelCase   :       Union[str, Any] ,					__lowerCamelCase   :       List[Any]		)     ->					List[Any]:
  _snake_case					     =       hf_hub_url(repo_id=UpperCamelCase_ ,					path=UpperCamelCase_ ,					revision=UpperCamelCase_		)
  assert url == f'''https://huggingface.co/datasets/{repo_id}/resolve/{revision or 'main'}/{quote(UpperCamelCase_		)}'''





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								=  logging.get_logger(__name__)


__snake_case								=  TypeVar("""DatasetType""", Dataset, IterableDataset)






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_ = None	,	UpperCamelCase_ = None	,	UpperCamelCase_ = None	,	UpperCamelCase_ = None	,	UpperCamelCase_ = "first_exhausted"	,	)		->		DatasetType:
					'''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(UpperCamelCase_		):
										if not isinstance(UpperCamelCase_	,	(Dataset, IterableDataset)		):
															if isinstance(UpperCamelCase_	,	(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(UpperCamelCase_		)}\n'
																				    F'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(UpperCamelCase_		)		)}\']'		)
															raise ValueError(
															    F'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(UpperCamelCase_		).__name__}.'		)
										if i == 0:
															SCREAMING_SNAKE_CASE__						, SCREAMING_SNAKE_CASE__													= (
															    (Dataset, IterableDataset) if isinstance(UpperCamelCase_	,	UpperCamelCase_		) else (IterableDataset, Dataset)
															)
										elif not isinstance(UpperCamelCase_	,	UpperCamelCase_		):
															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(
										    UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_	,	info=UpperCamelCase_	,	split=UpperCamelCase_	,	stopping_strategy=UpperCamelCase_		)
					else:
										return _interleave_iterable_datasets(
										    UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_	,	info=UpperCamelCase_	,	split=UpperCamelCase_	,	stopping_strategy=UpperCamelCase_		)






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_ = None	,	UpperCamelCase_ = None	,	UpperCamelCase_ = 0	,	)		->		DatasetType:
					'''simple docstring'''


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





