



import itertools
import string
from collections.abc import Generator, Iterable


def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      Generator[tuple[str, ...], None, None]:
			A__       =    iter(__UpperCamelCase					)
			while True:
						A__       =    tuple(itertools.islice(__UpperCamelCase ,	__UpperCamelCase					)					)
						if not chunk:
									return
						yield chunk


def A						(       __UpperCamelCase					)						->      str:
			A__       =    ''.join([c.upper() for c in dirty if c in string.ascii_letters]					)
			A__       =    ''

			if len(__UpperCamelCase					) < 2:
						return dirty

			for i in range(len(__UpperCamelCase					) - 1					):
						clean += dirty[i]

						if dirty[i] == dirty[i + 1]:
									clean += "X"

			clean += dirty[-1]

			if len(__UpperCamelCase					) & 1:
						clean += "X"

			return clean


def A						(       __UpperCamelCase					)						->      list[str]:
			# I and J are used interchangeably to allow
			# us to use a 5x5 table (25 letters)
			A__       =    'ABCDEFGHIKLMNOPQRSTUVWXYZ'
			# we're using a list instead of a '2d' array because it makes the math
			# for setting up the table and doing the actual encoding/decoding simpler
			A__       =    []

			# copy key chars into the table if they are in `alphabet` ignoring duplicates
			for char in key.upper():
						if char not in table and char in alphabet:
									table.append(__UpperCamelCase					)

    # fill the rest of the table in with the remaining alphabet chars
			for char in alphabet:
						if char not in table:
									table.append(__UpperCamelCase					)

			return table


def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      str:
			A__       =    generate_table(__UpperCamelCase					)
			A__       =    prepare_input(__UpperCamelCase					)
			A__       =    ''

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(__UpperCamelCase ,	2					):
						A__     , A__       =    divmod(table.index(__UpperCamelCase					) ,	5					)
						A__     , A__       =    divmod(table.index(__UpperCamelCase					) ,	5					)

						if rowa == rowa:
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
						elif cola == cola:
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
						else:  # rectangle
									ciphertext += table[rowa * 5 + cola]
									ciphertext += table[rowa * 5 + cola]

			return ciphertext






def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      str:
			A__       =    generate_table(__UpperCamelCase					)
			A__       =    ''

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(__UpperCamelCase ,	2					):
						A__     , A__       =    divmod(table.index(__UpperCamelCase					) ,	5					)
						A__     , A__       =    divmod(table.index(__UpperCamelCase					) ,	5					)

						if rowa == rowa:
									plaintext += table[rowa * 5 + (cola - 1) % 5]
									plaintext += table[rowa * 5 + (cola - 1) % 5]
						elif cola == cola:
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
						else:  # rectangle
									plaintext += table[rowa * 5 + cola]
									plaintext += table[rowa * 5 + cola]

			return plaintext









# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


SCREAMING_SNAKE_CASE__       =      {'''configuration_mra''': ['''MRA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MraConfig''']}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__       =      [
							    '''MRA_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''MraForMaskedLM''',
							    '''MraForMultipleChoice''',
							    '''MraForQuestionAnswering''',
							    '''MraForSequenceClassification''',
							    '''MraForTokenClassification''',
							    '''MraLayer''',
							    '''MraModel''',
							    '''MraPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_mra import MRA_PRETRAINED_CONFIG_ARCHIVE_MAP, MraConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mra import (
														    MRA_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MraForMaskedLM,
														    MraForMultipleChoice,
														    MraForQuestionAnswering,
														    MraForSequenceClassification,
														    MraForTokenClassification,
														    MraLayer,
														    MraModel,
														    MraPreTrainedModel,
														)
else:
							import sys

							SCREAMING_SNAKE_CASE__       =      _LazyModule(__name__, globals()['''__file__'''], _import_structure)




