




"""simple docstring"""




import itertools
import os
import re


lowerCAmelCase							:    Tuple  							=							re.compile(r"""([A-Z]+)([A-Z][a-z])""")
lowerCAmelCase							:    Union[str, Any]  							=							re.compile(r"""([a-z\d])([A-Z])""")

lowerCAmelCase							:    Any  							=							re.compile(r"""(?<!_)_(?!_)""")
lowerCAmelCase							:    Tuple  							=							re.compile(r"""(_{2,})""")

lowerCAmelCase							:    Any  							=							r"""^\w+(\.\w+)*$"""

lowerCAmelCase							:    Optional[int]  							=							r"""<>:/\|?*"""



def 					a__				(       snake_case__       )		->      Tuple:
			lowerCamelCase       =      _uppercase_uppercase_re.sub(r"""\1_\2""" ,				snake_case__       )
			lowerCamelCase       =      _lowercase_uppercase_re.sub(r"""\1_\2""" ,				snake_case__       )
			return name.lower()



def 					a__				(       snake_case__       )		->      List[str]:
			lowerCamelCase       =      _single_underscore_re.split(snake_case__       )
			lowerCamelCase       =      [_multiple_underscores_re.split(snake_case__       ) for n in name]
			return "".join(n.capitalize() for n in itertools.chain.from_iterable(snake_case__       ) if n != """"""       )



def 					a__				(       snake_case__       )		->      Optional[int]:
			if os.path.basename(snake_case__       ) != name:
						raise ValueError(F'Should be a dataset name, not a path: {name}'       )
			return camelcase_to_snakecase(snake_case__       )



def 					a__				(       snake_case__ ,				snake_case__       )		->      Tuple:
			if os.path.basename(snake_case__       ) != name:
						raise ValueError(F'Should be a dataset name, not a path: {name}'       )
			if not re.match(_split_re ,				snake_case__       ):
						raise ValueError(F'Split name should match \'{_split_re}\'\' but got \'{split}\'.'       )
			return F'{filename_prefix_for_name(snake_case__       )}-{split}'



def 					a__				(       snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__=None       )		->      Tuple:
			lowerCamelCase       =      filename_prefix_for_split(snake_case__ ,				snake_case__       )
			if filetype_suffix:
						prefix += F'.{filetype_suffix}'
			lowerCamelCase       =      os.path.join(snake_case__ ,				snake_case__       )
			return F'{filepath}*'



def 					a__				(       snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__=None ,				snake_case__=None       )		->      Tuple:
			lowerCamelCase       =      filename_prefix_for_split(snake_case__ ,				snake_case__       )
			lowerCamelCase       =      os.path.join(snake_case__ ,				snake_case__       )

			if shard_lengths:
						lowerCamelCase       =      len(snake_case__       )
						lowerCamelCase       =      [F'{prefix}-{shard_id:05d}-of-{num_shards:05d}' for shard_id in range(snake_case__       )]
						if filetype_suffix:
									lowerCamelCase       =      [filename + F'.{filetype_suffix}' for filename in filenames]
						return filenames
			else:
						lowerCamelCase       =      prefix
						if filetype_suffix:
									filename += F'.{filetype_suffix}'
						return [filename]









"""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


lowerCAmelCase							:    List[Any]  							=							logging.get_logger(__name__)


lowerCAmelCase							:    int  							=							TypeVar("""DatasetType""", Dataset, IterableDataset)



def 					a__				(       snake_case__ ,				snake_case__ = None ,				snake_case__ = None ,				snake_case__ = None ,				snake_case__ = None ,				snake_case__ = "first_exhausted" ,				)		->      DatasetType:
			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:
									lowerCamelCase   ,     lowerCamelCase       =      (
									    (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 					a__				(       snake_case__ ,				snake_case__ = None ,				snake_case__ = None ,				snake_case__ = 0 ,				)		->      DatasetType:

			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:
									lowerCamelCase   ,     lowerCamelCase       =      (
									    (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__       )



