"""simple docstring"""







from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType

class 		UpperCamelCase      (   lowercase						):
				UpperCAmelCase    :				Union[str, Any]   =		["""image_processor""", """tokenizer"""]
				UpperCAmelCase    :				Optional[Any]   =		"""BridgeTowerImageProcessor"""
				UpperCAmelCase    :				List[str]   =		("""RobertaTokenizer""", """RobertaTokenizerFast""")



				def __init__(self    :				Any     ,  _A    :				Any     ,  _A    :				Any)   ->     str:
					super().__init__(_A     ,  _A)



				def __call__(self    :				List[Any]     ,  _A    :				Any     ,  _A    :				Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None     ,  _A    :				bool = True     ,  _A    :				Union[bool, str, PaddingStrategy] = False     ,  _A    :				Union[bool, str, TruncationStrategy] = None     ,  _A    :				Optional[int] = None     ,  _A    :				int = 0     ,  _A    :				Optional[int] = None     ,  _A    :				Optional[bool] = None     ,  _A    :				Optional[bool] = None     ,  _A    :				bool = False     ,  _A    :				bool = False     ,  _A    :				bool = False     ,  _A    :				bool = False     ,  _A    :				bool = True     ,  _A    :				Optional[Union[str, TensorType]] = None     ,  **_A    :				List[Any]     ,  )   ->     BatchEncoding:
					__snake_case      :							Any						=			self.tokenizer(
					    text=_A     ,  add_special_tokens=_A     ,  padding=_A     ,  truncation=_A     ,  max_length=_A     ,  stride=_A     ,  pad_to_multiple_of=_A     ,  return_token_type_ids=_A     ,  return_attention_mask=_A     ,  return_overflowing_tokens=_A     ,  return_special_tokens_mask=_A     ,  return_offsets_mapping=_A     ,  return_length=_A     ,  verbose=_A     ,  return_tensors=_A     ,  **_A     ,  )
					# add pixel_values + pixel_mask
					__snake_case      :							Dict						=			self.image_processor(
					    _A     ,  return_tensors=_A     ,  do_normalize=_A     ,  do_center_crop=_A     ,  **_A)
					encoding.update(_A)

					return encoding



				def  _lowercase					(self    :				List[Any]     ,  *_A    :				str     ,  **_A    :				List[Any])   ->     Dict:
					return self.tokenizer.batch_decode(*_A     ,  **_A)



				def  _lowercase					(self    :				List[str]     ,  *_A    :				Union[str, Any]     ,  **_A    :				Any)   ->     Dict:
					return self.tokenizer.decode(*_A     ,  **_A)






				@property
				def  _lowercase					(self    :				List[Any])   ->     str:
					__snake_case      :							Tuple						=			self.tokenizer.model_input_names
					__snake_case      :							Dict						=			self.image_processor.model_input_names
					return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names))






"""simple docstring"""







import itertools
import string
from collections.abc import Generator, Iterable
def   __UpperCAmelCase    (   UpperCAmelCase_   :    Iterable[str]      ,							UpperCAmelCase_   :    int  )							->      Generator[tuple[str, ...], None, None]:

	'''simple docstring'''





	__snake_case      :							Optional[int]						=			iter(UpperCAmelCase_  )
	while True:
		__snake_case      :							Optional[int]						=			tuple(itertools.islice(UpperCAmelCase_      ,							UpperCAmelCase_  )  )
		if not chunk:
			return
		yield chunk
def   __UpperCAmelCase    (   UpperCAmelCase_   :    str  )							->      str:

	'''simple docstring'''





	__snake_case      :							Any						=			''.join([c.upper() for c in dirty if c in string.ascii_letters]  )
	__snake_case      :							Union[str, Any]						=			''

	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   __UpperCAmelCase    (   UpperCAmelCase_   :    str  )							->      list[str]:

	'''simple docstring'''





	__snake_case      :							List[str]						=			'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
	__snake_case      :							Optional[int]						=			[]

	# 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   __UpperCAmelCase    (   UpperCAmelCase_   :    str      ,							UpperCAmelCase_   :    str  )							->      str:

	'''simple docstring'''





	__snake_case      :							str						=			generate_table(UpperCAmelCase_  )
	__snake_case      :							Union[str, Any]						=			prepare_input(UpperCAmelCase_  )
	__snake_case      :							Tuple						=			''

	# https://en.wikipedia.org/wiki/Playfair_cipher#Description
	for chara, chara in chunker(UpperCAmelCase_      ,							2  ):
		__snake_case		,    __snake_case      :							Any						=			divmod(table.index(UpperCAmelCase_  )      ,							5  )
		__snake_case		,    __snake_case      :							Tuple						=			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   __UpperCAmelCase    (   UpperCAmelCase_   :    str      ,							UpperCAmelCase_   :    str  )							->      str:

	'''simple docstring'''





	__snake_case      :							Optional[int]						=			generate_table(UpperCAmelCase_  )
	__snake_case      :							Any						=			''

	# https://en.wikipedia.org/wiki/Playfair_cipher#Description
	for chara, chara in chunker(UpperCAmelCase_      ,							2  ):
		__snake_case		,    __snake_case      :							Union[str, Any]						=			divmod(table.index(UpperCAmelCase_  )      ,							5  )
		__snake_case		,    __snake_case      :							Tuple						=			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





