




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


UpperCAmelCase__				     = logging.get_logger(__name__)


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







def 		_A(       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"				,       )    -> 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:
																					__lowercase     ,     __lowercase      =    (
																					    (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 		_A(       UpperCamelCase__							:			List[DatasetType]				,       UpperCamelCase__							:			Optional[DatasetInfo] = None				,       UpperCamelCase__							:			Optional[NamedSplit] = None				,       UpperCamelCase__							:			int = 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:
																					__lowercase     ,     __lowercase      =    (
																					    (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__				)












import math







def 		_A(       )    -> None:
							'''simple docstring'''


							__lowercase      =    input('''Enter message: '''				)
							__lowercase      =    int(input(F'Enter key [2-{len(UpperCamelCase__				) - 1}]: '				)				)
							__lowercase      =    input('''Encryption/Decryption [e/d]: '''				)

							if mode.lower().startswith('''e'''				):
														__lowercase      =    encrypt_message(UpperCamelCase__				,       UpperCamelCase__				)
							elif mode.lower().startswith('''d'''				):
														__lowercase      =    decrypt_message(UpperCamelCase__				,       UpperCamelCase__				)

							# Append pipe symbol (vertical bar) to identify spaces at the end.
							print(F'Output:\n{text + "|"}'				)







def 		_A(       UpperCamelCase__							:			int				,       UpperCamelCase__							:			str				)    -> str:
							'''simple docstring'''


							__lowercase      =    [''''''] * key
							for col in range(UpperCamelCase__				):
														__lowercase      =    col
														while pointer < len(UpperCamelCase__				):
																					cipher_text[col] += message[pointer]
																					pointer += key
							return "".join(UpperCamelCase__				)







def 		_A(       UpperCamelCase__							:			int				,       UpperCamelCase__							:			str				)    -> str:
							'''simple docstring'''


							__lowercase      =    math.ceil(len(UpperCamelCase__				) / key				)
							__lowercase      =    key
							__lowercase      =    (num_cols * num_rows) - len(UpperCamelCase__				)
							__lowercase      =    [''''''] * num_cols
							__lowercase      =    0
							__lowercase      =    0

							for symbol in message:
														plain_text[col] += symbol
														col += 1

														if (
														    (col == num_cols)
														    or (col == num_cols - 1)
														    and (row >= num_rows - num_shaded_boxes)
														):
																					__lowercase      =    0
																					row += 1

							return "".join(UpperCamelCase__				)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()






