



def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			int    ):
				"""simple docstring"""







				__a       =		[[] for _ in range(_SCREAMING_SNAKE_CASE    )]
				__a       =		key - 1

				if key <= 0:
								raise ValueError("""Height of grid can't be 0 or negative"""    )
				if key == 1 or len(_SCREAMING_SNAKE_CASE    ) <= key:
								return input_string

				for position, character in enumerate(_SCREAMING_SNAKE_CASE    ):
								__a       =		position % (lowest * 2)  # puts it in bounds
								__a       =		min(_SCREAMING_SNAKE_CASE				,     lowest * 2 - num    )  # creates zigzag pattern
								temp_grid[num].append(_SCREAMING_SNAKE_CASE    )
				__a       =		["""""".join(_SCREAMING_SNAKE_CASE    ) for row in temp_grid]
				__a       =		"""""".join(_SCREAMING_SNAKE_CASE    )

				return output_string

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			int    ):
				"""simple docstring"""







				__a       =		[]
				__a       =		key - 1

				if key <= 0:
								raise ValueError("""Height of grid can't be 0 or negative"""    )
				if key == 1:
								return input_string

				__a       =		[[] for _ in range(_SCREAMING_SNAKE_CASE    )]  # generates template
				for position in range(len(_SCREAMING_SNAKE_CASE    )    ):
								__a       =		position % (lowest * 2)  # puts it in bounds
								__a       =		min(_SCREAMING_SNAKE_CASE				,     lowest * 2 - num    )  # creates zigzag pattern
								temp_grid[num].append("""*"""    )

				__a       =		0
				for row in temp_grid:  # fills in the characters
								__a       =		input_string[counter : counter + len(_SCREAMING_SNAKE_CASE    )]
								grid.append(list(_SCREAMING_SNAKE_CASE    )    )
								counter += len(_SCREAMING_SNAKE_CASE    )

				__a       =		""""""  # reads as zigzag
				for position in range(len(_SCREAMING_SNAKE_CASE    )    ):
								__a       =		position % (lowest * 2)  # puts it in bounds
								__a       =		min(_SCREAMING_SNAKE_CASE				,     lowest * 2 - num    )  # creates zigzag pattern
								output_string += grid[num][0]
								grid[num].pop(0    )
				return output_string

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				__a       =		{}
				for key_guess in range(1				,     len(_SCREAMING_SNAKE_CASE    )    ):  # tries every key
								__a       =		decrypt(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )
				return results


if __name__ == "__main__":
						import doctest

						doctest.testmod()





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase__			= {"""configuration_mbart""": ["""MBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MBartConfig""", """MBartOnnxConfig"""]}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__			= ["""MBartTokenizer"""]

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__			= ["""MBartTokenizerFast"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__			= [
						    """MBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """MBartForCausalLM""",
						    """MBartForConditionalGeneration""",
						    """MBartForQuestionAnswering""",
						    """MBartForSequenceClassification""",
						    """MBartModel""",
						    """MBartPreTrainedModel""",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__			= [
						    """TFMBartForConditionalGeneration""",
						    """TFMBartModel""",
						    """TFMBartPreTrainedModel""",
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__			= [
						    """FlaxMBartForConditionalGeneration""",
						    """FlaxMBartForQuestionAnswering""",
						    """FlaxMBartForSequenceClassification""",
						    """FlaxMBartModel""",
						    """FlaxMBartPreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_mbart import MBART_PRETRAINED_CONFIG_ARCHIVE_MAP, MBartConfig, MBartOnnxConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_mbart import MBartTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_mbart_fast import MBartTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mbart import (
												    MBART_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MBartForCausalLM,
												    MBartForConditionalGeneration,
												    MBartForQuestionAnswering,
												    MBartForSequenceClassification,
												    MBartModel,
												    MBartPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_mbart import (
												    FlaxMBartForConditionalGeneration,
												    FlaxMBartForQuestionAnswering,
												    FlaxMBartForSequenceClassification,
												    FlaxMBartModel,
												    FlaxMBartPreTrainedModel,
												)

else:
						import sys

						lowerCamelCase__			= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
