code: 
  
  
  import unittest
  
  import pytest
  
  from transformers import (
      MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
      TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
      MBartaaTokenizerFast,
      MBartConfig,
      MBartForConditionalGeneration,
      TranslationPipeline,
      pipeline,
  )
  from transformers.testing_utils import is_pipeline_test, require_tf, require_torch, slow
  
  from .test_pipelines_common import ANY
  @is_pipeline_test
  class _lowerCamelCase (		unittest.TestCase							):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		A_			:    int   					=       MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
  		A_			:    Dict   					=       TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[str]						,  _A	:		int						,  _A	:		str						,  _A	:		str    )						->				Any:
  			if isinstance(model.config						,  a_    ):
  				__magic_name__			,       __magic_name__ :					Union[str, Any]  			=  list(tokenizer.lang_code_to_id.keys()    )[:2]
  				__magic_name__ :					List[str]  			=  TranslationPipeline(model=a_						,  tokenizer=a_						,  src_lang=a_						,  tgt_lang=a_    )
  			else:
  				__magic_name__ :					Optional[Any]  			=  TranslationPipeline(model=a_						,  tokenizer=a_    )
  			return translator, ["Some string", "Some other text"]
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Union[str, Any]						,  _A	:		Any						,  _A	:		Any    )						->				Optional[int]:
  			__magic_name__ :					Optional[int]  			=  translator('Some string'    )
  			self.assertEqual(a_						,  [{'translation_text': ANY(a_    )}]    )
  
  			__magic_name__ :					List[str]  			=  translator(['Some string']    )
  			self.assertEqual(a_						,  [{'translation_text': ANY(a_    )}]    )
  
  			__magic_name__ :					Dict  			=  translator(['Some string', 'other string']    )
  			self.assertEqual(a_						,  [{'translation_text': ANY(a_    )}, {'translation_text': ANY(a_    )}]    )
  
  
  
  
  
  
  
  		@require_torch
  		def      __lowerCAmelCase	(      self	:		List[str]    )						->				Optional[Any]:
  			__magic_name__ :					Union[str, Any]  			=  pipeline('translation_en_to_ro'						,  model='patrickvonplaten/t5-tiny-random'						,  framework='pt'    )
  			__magic_name__ :					Dict  			=  translator('This is a test string'						,  max_length=20    )
  			self.assertEqual(
  			    a_						,  [
  			        {
  			            'translation_text': (
  			                'Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide'
  			                ' Beide Beide'
  			            )
  			        }
  			    ]						,  )
  
  
  
  
  
  
  
  		@require_tf
  		def      __lowerCAmelCase	(      self	:		List[str]    )						->				str:
  			__magic_name__ :					Optional[Any]  			=  pipeline('translation_en_to_ro'						,  model='patrickvonplaten/t5-tiny-random'						,  framework='tf'    )
  			__magic_name__ :					Union[str, Any]  			=  translator('This is a test string'						,  max_length=20    )
  			self.assertEqual(
  			    a_						,  [
  			        {
  			            'translation_text': (
  			                'Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide'
  			                ' Beide Beide'
  			            )
  			        }
  			    ]						,  )
  
  
  
  
  
  
  
  		@require_torch
  		def      __lowerCAmelCase	(      self	:		Optional[int]    )						->				int:
  			__magic_name__ :					Optional[int]  			=  pipeline('translation_en_to_de'						,  model='patrickvonplaten/t5-tiny-random'						,  framework='pt'    )
  			__magic_name__ :					str  			=  translator('This is a test string'						,  max_length=20    )
  			self.assertEqual(
  			    a_						,  [
  			        {
  			            'translation_text': (
  			                'monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine'
  			                ' urine urine urine urine urine urine urine'
  			            )
  			        }
  			    ]						,  )
  
  
  
  
  
  
  
  		@require_tf
  		def      __lowerCAmelCase	(      self	:		List[str]    )						->				Union[str, Any]:
  			__magic_name__ :					int  			=  pipeline('translation_en_to_de'						,  model='patrickvonplaten/t5-tiny-random'						,  framework='tf'    )
  			__magic_name__ :					Dict  			=  translator('This is a test string'						,  max_length=20    )
  			self.assertEqual(
  			    a_						,  [
  			        {
  			            'translation_text': (
  			                'monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine'
  			                ' urine urine urine urine urine urine urine'
  			            )
  			        }
  			    ]						,  )
  
  
  
  
  
  
  
  class _lowerCamelCase (		unittest.TestCase							):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		@require_torch
  		@slow
  		def      __lowerCAmelCase	(      self	:		int    )						->				List[Any]:
  			# We don't provide a default for this pair
  			with self.assertRaises(a_    ):
  				pipeline(task='translation_cn_to_ar'    )
  
  			# but we do for this one
  			__magic_name__ :					Union[str, Any]  			=  pipeline(task='translation_en_to_de'    )
  			self.assertEqual(translator._preprocess_params['src_lang']						,  'en'    )
  			self.assertEqual(translator._preprocess_params['tgt_lang']						,  'de'    )
  
  
  
  
  
  
  
  		@require_torch
  		@slow
  		def      __lowerCAmelCase	(      self	:		Tuple    )						->				int:
  			__magic_name__ :					Optional[Any]  			=  MBartForConditionalGeneration.from_pretrained('facebook/mbart-large-50-many-to-many-mmt'    )
  			__magic_name__ :					Optional[int]  			=  MBartaaTokenizerFast.from_pretrained('facebook/mbart-large-50-many-to-many-mmt'    )
  
  			__magic_name__ :					Any  			=  pipeline(task='translation'						,  model=a_						,  tokenizer=a_    )
  			# Missing src_lang, tgt_lang
  			with self.assertRaises(a_    ):
  				translator('This is a test'    )
  
  			__magic_name__ :					Optional[Any]  			=  translator('This is a test'						,  src_lang='en_XX'						,  tgt_lang='ar_AR'    )
  			self.assertEqual(a_						,  [{'translation_text': 'هذا إختبار'}]    )
  
  			__magic_name__ :					Dict  			=  translator('This is a test'						,  src_lang='en_XX'						,  tgt_lang='hi_IN'    )
  			self.assertEqual(a_						,  [{'translation_text': 'यह एक परीक्षण है'}]    )
  
  			# src_lang, tgt_lang can be defined at pipeline call time
  			__magic_name__ :					str  			=  pipeline(task='translation'						,  model=a_						,  tokenizer=a_						,  src_lang='en_XX'						,  tgt_lang='ar_AR'    )
  			__magic_name__ :					List[Any]  			=  translator('This is a test'    )
  			self.assertEqual(a_						,  [{'translation_text': 'هذا إختبار'}]    )
  
  
  
  
  
  
  
  		@require_torch
  		def      __lowerCAmelCase	(      self	:		Union[str, Any]    )						->				Dict:
  			__magic_name__ :					Tuple  			=  'patrickvonplaten/t5-tiny-random'
  			__magic_name__ :					Tuple  			=  pipeline(task='translation_cn_to_ar'						,  model=a_    )
  			self.assertEqual(translator._preprocess_params['src_lang']						,  'cn'    )
  			self.assertEqual(translator._preprocess_params['tgt_lang']						,  'ar'    )
  
  
  
  
  
  
  
  		@require_torch
  		def      __lowerCAmelCase	(      self	:		Union[str, Any]    )						->				Tuple:
  			__magic_name__ :					int  			=  'patrickvonplaten/t5-tiny-random'
  			with pytest.warns(a_						,  match=R'.*translation_en_to_de.*'    ):
  				__magic_name__ :					Optional[Any]  			=  pipeline(task='translation'						,  model=a_    )
  			self.assertEqual(translator.task						,  'translation_en_to_de'    )
  			self.assertEqual(translator._preprocess_params['src_lang']						,  'en'    )
  			self.assertEqual(translator._preprocess_params['tgt_lang']						,  'de'    )
  
  
  
  
  
  
  
  		@require_torch
  		def      __lowerCAmelCase	(      self	:		Tuple    )						->				int:
  			with self.assertRaises(a_    ):
  				pipeline(task='translation'    )
style_context: 
  
  
  '''simple docstring'''
  
  import itertools
  from pathlib import Path
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			list[str]	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					str  			=  [tuple(lowerCAmelCase	) for login in logins]
  
  	__magic_name__ :					int  			=  {char for login in split_logins for char in login}
  
  	for permutation in itertools.permutations(lowerCAmelCase	):
  		__magic_name__ :					List[Any]  			=  True
  		for login in logins:
  			if not (
  			    permutation.index(login[0]	)
  			    < permutation.index(login[1]	)
  			    < permutation.index(login[2]	)
  			):
  				__magic_name__ :					Tuple  			=  False
  				break
  
  		if satisfied:
  			return int(''.join(lowerCAmelCase	)	)
  
  	raise Exception('Unable to find the secret passcode'	)
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			str = "keylog.txt"	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					List[Any]  			=  Path(lowerCAmelCase	).parent.joinpath(lowerCAmelCase	).read_text().splitlines()
  
  	return find_secret_passcode(lowerCAmelCase	)
  
  
  if __name__ == "__main__":
  							print(F'{solution() = }')