


'''simple docstring'''



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


def    lowerCamelCase__   ( A     :    Iterable[str]   ,     A     :    int  ):




						'''simple docstring'''






						UpperCAmelCase         =			iter(A  )
						while True:
												UpperCAmelCase         =			tuple(itertools.islice(A   ,     A  )  )
												if not chunk:
																		return
												yield chunk


def    lowerCamelCase__   ( A     :    str  ):




						'''simple docstring'''






						UpperCAmelCase         =			''.join([c.upper() for c in dirty if c in string.ascii_letters]  )
						UpperCAmelCase         =			''

						if len(A  ) < 2:
												return dirty

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

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

						clean += dirty[-1]

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

						return clean


def    lowerCamelCase__   ( A     :    str  ):




						'''simple docstring'''






						UpperCAmelCase         =			'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
						UpperCAmelCase         =			[]

						# 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(A  )

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

						return table


def    lowerCamelCase__   ( A     :    str   ,     A     :    str  ):




						'''simple docstring'''






						UpperCAmelCase         =			generate_table(A  )
						UpperCAmelCase         =			prepare_input(A  )
						UpperCAmelCase         =			''

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




						'''simple docstring'''






						UpperCAmelCase         =			generate_table(A  )
						UpperCAmelCase         =			''

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









'''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  UpperCamelCase__(     unittest.TestCase ):




				def   a__(	self    :				List[Any]   ,					lowerCAmelCase    :				Optional[Any]   )->  Optional[int]:

										"""simple docstring"""




										UpperCAmelCase         =			3
										UpperCAmelCase         =			250

										UpperCAmelCase         =			ids_tensor((batch_size, length)   ,					lowerCAmelCase   )
										UpperCAmelCase         =			torch.ones((batch_size, length)   ,					device=lowerCAmelCase   ,					dtype=torch.float   ) / length
										return input_ids, scores




				def   a__(	self    :				Dict   )->  Optional[int]:

										"""simple docstring"""




										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )

										UpperCAmelCase         =			StoppingCriteriaList(
										    [
										        MaxLengthCriteria(max_length=10   ),
										        MaxTimeCriteria(max_time=0.1   ),
										    ]   )

										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(9   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(10   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )




				def   a__(	self    :				Union[str, Any]   )->  Union[str, Any]:

										"""simple docstring"""




										UpperCAmelCase         =			MaxLengthCriteria(max_length=10   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(9   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(10   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )




				def   a__(	self    :				Optional[Any]   )->  List[Any]:

										"""simple docstring"""




										UpperCAmelCase         =			MaxNewTokensCriteria(start_length=5   ,					max_new_tokens=5   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(9   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(10   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase         =			StoppingCriteriaList([criteria]   )
										self.assertEqual(criteria_list.max_length   ,					10   )




				def   a__(	self    :				Tuple   )->  Optional[Any]:

										"""simple docstring"""




										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )

										UpperCAmelCase         =			MaxTimeCriteria(max_time=0.1   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase         =			MaxTimeCriteria(max_time=0.1   ,					initial_timestamp=time.time() - 0.2   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )





				def   a__(	self    :				int   )->  Any:

										"""simple docstring"""




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

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

										UpperCAmelCase         =			validate_stopping_criteria(StoppingCriteriaList()   ,					11   )

										self.assertEqual(len(lowerCAmelCase   )   ,					1   )





