"""simple docstring"""







import torch

from transformers import AutoModel

class 		UpperCamelCase      (   torch.nn.Module						):



				def __init__(self    :				Optional[Any]     ,  _A    :				Any="sayef/fsner-bert-base-uncased")   ->     List[str]:
					super(_A     ,  self).__init__()

					__snake_case      :							Dict						=			AutoModel.from_pretrained(_A     ,  return_dict=_A)
					__snake_case      :							List[Any]						=			torch.nn.CosineSimilarity(3     ,  1E-08)
					__snake_case      :							int						=			torch.nn.Softmax(dim=1)



				def  _lowercase					(self    :				Optional[int]     ,  **_A    :				List[str])   ->     Optional[Any]:
					return self.bert(**_A).last_hidden_state



				def  _lowercase					(self    :				List[str]     ,  _A    :				Optional[Any])   ->     Optional[Any]:
					return token_embeddings.sum(2     ,  keepdim=_A)



				def  _lowercase					(self    :				Optional[Any]     ,  _A    :				Dict     ,  _A    :				Optional[int]     ,  _A    :				Dict=1)   ->     Tuple:
					return self.softmax(T * self.cos(_A     ,  _A))






				def  _lowercase					(self    :				Optional[int]     ,  _A    :				Dict     ,  _A    :				List[str])   ->     List[str]:
					__snake_case      :							Optional[int]						=			W_supports['sizes'].tolist()
					__snake_case      :							int						=			W_supports['start_token_id'].item()
					__snake_case      :							Tuple						=			W_supports['end_token_id'].item()

					del W_supports["sizes"]
					del W_supports["start_token_id"]
					del W_supports["end_token_id"]

					__snake_case      :							int						=			self.BERT(**_A)
					__snake_case      :							Tuple						=			self.BERT(**_A)

					__snake_case      :							str						=			None
					__snake_case      :							Dict						=			None

					__snake_case      :							int						=			W_supports['input_ids'] == start_token_id
					__snake_case      :							Dict						=			W_supports['input_ids'] == end_token_id

					for i, size in enumerate(_A):
						if i == 0:
							__snake_case      :							str						=			0
						else:
							__snake_case      :							List[Any]						=			support_sizes[i - 1]

						__snake_case      :							Union[str, Any]						=			S[s : s + size][start_token_masks[s : s + size]]
						__snake_case      :							Tuple						=			S[s : s + size][end_token_masks[s : s + size]]

						__snake_case      :							Optional[Any]						=			torch.matmul(q[i]     ,  s_start.T).sum(1).softmax(0)
						__snake_case      :							List[str]						=			torch.matmul(q[i]     ,  s_end.T).sum(1).softmax(0)

						if p_starts is not None:
							__snake_case      :							Tuple						=			torch.vstack((p_starts, p_start))
							__snake_case      :							Optional[int]						=			torch.vstack((p_ends, p_end))
						else:
							__snake_case      :							Tuple						=			p_start
							__snake_case      :							List[str]						=			p_end

					return p_starts, p_ends






"""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





