





"""simple docstring"""





import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
  import torch

  from transformers.generation import (
      MaxLengthCriteria,
      MaxNewTokensCriteria,
      MaxTimeCriteria,
      StoppingCriteriaList,
      validate_stopping_criteria,
  )




@require_torch
class 							snake_case							(			unittest.TestCase ):

      '''simple docstring'''



      def       A_					(							self       :      Tuple						,				__lowercase       :      str ):


        '''simple docstring'''




        __UpperCAmelCase    :						Dict       =						3
        __UpperCAmelCase    :						List[str]       =						250

        __UpperCAmelCase    :						Optional[int]       =						ids_tensor((batch_size, length)						,				__lowercase )
        __UpperCAmelCase    :						Optional[int]       =						torch.ones((batch_size, length)						,				device=__lowercase						,				dtype=torch.float ) / length
        return input_ids, scores

      def       A_					(							self       :      int ):


        '''simple docstring'''




        __UpperCAmelCase       ,     __UpperCAmelCase    :						List[str]       =						self._get_tensors(5 )

        __UpperCAmelCase    :						int       =						StoppingCriteriaList(
            [
                MaxLengthCriteria(max_length=10 ),
                MaxTimeCriteria(max_time=0.1 ),
            ] )

        self.assertFalse(criteria(__lowercase						,				__lowercase ) )

        __UpperCAmelCase       ,     __UpperCAmelCase    :						List[Any]       =						self._get_tensors(9 )
        self.assertFalse(criteria(__lowercase						,				__lowercase ) )

        __UpperCAmelCase       ,     __UpperCAmelCase    :						Tuple       =						self._get_tensors(10 )
        self.assertTrue(criteria(__lowercase						,				__lowercase ) )

      def       A_					(							self       :      Any ):


        '''simple docstring'''




        __UpperCAmelCase    :						List[str]       =						MaxLengthCriteria(max_length=10 )

        __UpperCAmelCase       ,     __UpperCAmelCase    :						Union[str, Any]       =						self._get_tensors(5 )
        self.assertFalse(criteria(__lowercase						,				__lowercase ) )

        __UpperCAmelCase       ,     __UpperCAmelCase    :						List[str]       =						self._get_tensors(9 )
        self.assertFalse(criteria(__lowercase						,				__lowercase ) )

        __UpperCAmelCase       ,     __UpperCAmelCase    :						Dict       =						self._get_tensors(10 )
        self.assertTrue(criteria(__lowercase						,				__lowercase ) )

      def       A_					(							self       :      Tuple ):


        '''simple docstring'''




        __UpperCAmelCase    :						Tuple       =						MaxNewTokensCriteria(start_length=5						,				max_new_tokens=5 )

        __UpperCAmelCase       ,     __UpperCAmelCase    :						int       =						self._get_tensors(5 )
        self.assertFalse(criteria(__lowercase						,				__lowercase ) )

        __UpperCAmelCase       ,     __UpperCAmelCase    :						Optional[Any]       =						self._get_tensors(9 )
        self.assertFalse(criteria(__lowercase						,				__lowercase ) )

        __UpperCAmelCase       ,     __UpperCAmelCase    :						List[str]       =						self._get_tensors(10 )
        self.assertTrue(criteria(__lowercase						,				__lowercase ) )

        __UpperCAmelCase    :						List[Any]       =						StoppingCriteriaList([criteria] )
        self.assertEqual(criteria_list.max_length						,				10 )

      def       A_					(							self       :      Union[str, Any] ):


        '''simple docstring'''




        __UpperCAmelCase       ,     __UpperCAmelCase    :						Optional[int]       =						self._get_tensors(5 )

        __UpperCAmelCase    :						Optional[int]       =						MaxTimeCriteria(max_time=0.1 )
        self.assertFalse(criteria(__lowercase						,				__lowercase ) )

        __UpperCAmelCase    :						List[str]       =						MaxTimeCriteria(max_time=0.1						,				initial_timestamp=time.time() - 0.2 )
        self.assertTrue(criteria(__lowercase						,				__lowercase ) )







      def       A_					(							self       :      Union[str, Any] ):


        '''simple docstring'''




        validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10 )] )						,				10 )

        with self.assertWarns(__lowercase ):
          validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10 )] )						,				11 )

        __UpperCAmelCase    :						str       =						validate_stopping_criteria(StoppingCriteriaList()						,				11 )

        self.assertEqual(len(__lowercase )						,				1 )






"""simple docstring"""





from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

lowercase__				:str				   =       (
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
lowercase__				:list[int]				   =       [ord(letter) for letter in string.ascii_lowercase]
lowercase__				:set[int]				   =       {ord(char) for char in VALID_CHARS}

lowercase__				:list[str]				   =       ["the", "be", "to", "of", "and", "in", "that", "have"]


def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->str | None:





  """simple docstring"""


  __UpperCAmelCase    :						str       =						""
  __UpperCAmelCase    :						int
  __UpperCAmelCase    :						int
  __UpperCAmelCase    :						int

  for keychar, cipherchar in zip(cycle(UpperCAmelCase_  )  ,			UpperCAmelCase_  ):
    __UpperCAmelCase    :						Optional[Any]       =						cipherchar ^ keychar
    if decodedchar not in VALID_INTS:
      return None
    decoded += chr(UpperCAmelCase_  )

  return decoded


def       lowerCamelCase_       (   UpperCAmelCase_  )						->list[str]:





  """simple docstring"""


  __UpperCAmelCase    :						list[str]       =						[]
  for key in product(UpperCAmelCase_  ,			repeat=3  ):
    __UpperCAmelCase    :						List[Any]       =						try_key(UpperCAmelCase_  ,			UpperCAmelCase_  )
    if encoded is not None:
      possibles.append(UpperCAmelCase_  )
  return possibles


def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->list[str]:





  """simple docstring"""


  return [possible for possible in possibles if common_word in possible.lower()]


def       lowerCamelCase_       (   UpperCAmelCase_ = "p059_cipher.txt"  )						->int:





  """simple docstring"""


  __UpperCAmelCase    :						list[int]
  __UpperCAmelCase    :						list[str]
  __UpperCAmelCase    :						str
  __UpperCAmelCase    :						str
  __UpperCAmelCase    :						str       =						Path(UpperCAmelCase_  ).parent.joinpath(UpperCAmelCase_  ).read_text(encoding='''utf-8'''  )

  __UpperCAmelCase    :						List[str]       =						[int(UpperCAmelCase_  ) for number in data.strip().split(''','''  )]

  __UpperCAmelCase    :						List[Any]       =						filter_valid_chars(UpperCAmelCase_  )
  for common_word in COMMON_WORDS:
    __UpperCAmelCase    :						Optional[int]       =						filter_common_word(UpperCAmelCase_  ,			UpperCAmelCase_  )
    if len(UpperCAmelCase_  ) == 1:
      break

  __UpperCAmelCase    :						Optional[Any]       =						possibles[0]
  return sum(ord(UpperCAmelCase_  ) for char in decoded_text  )


if __name__ == "__main__":
  print(f"""{solution() = }""")