





"""simple docstring"""





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    ):
   __UpperCamelCase									=   MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
   __UpperCamelCase									=   TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase       ,	lowerCamelCase				):




      '''simple docstring'''




      if isinstance(model.config       ,	lowerCamelCase				):
         _lowerCAmelCase     ,						_lowerCAmelCase					     =		list(tokenizer.lang_code_to_id.keys()				)[:2]
         _lowerCAmelCase					     =		TranslationPipeline(model=lowerCamelCase       ,	tokenizer=lowerCamelCase       ,	src_lang=lowerCamelCase       ,	tgt_lang=lowerCamelCase				)
      else:
         _lowerCAmelCase					     =		TranslationPipeline(model=lowerCamelCase       ,	tokenizer=lowerCamelCase				)
      return translator, ["Some string", "Some other text"]







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase					     =		translator("""Some string"""				)
      self.assertEqual(lowerCamelCase       ,	[{"""translation_text""": ANY(lowerCamelCase				)}]				)

      _lowerCAmelCase					     =		translator(["""Some string"""]				)
      self.assertEqual(lowerCamelCase       ,	[{"""translation_text""": ANY(lowerCamelCase				)}]				)

      _lowerCAmelCase					     =		translator(["""Some string""", """other string"""]				)
      self.assertEqual(lowerCamelCase       ,	[{"""translation_text""": ANY(lowerCamelCase				)}, {"""translation_text""": ANY(lowerCamelCase				)}]				)







   @require_torch
   def 							A__						(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		pipeline("""translation_en_to_ro"""       ,	model="""patrickvonplaten/t5-tiny-random"""       ,	framework="""pt"""				)
      _lowerCAmelCase					     =		translator("""This is a test string"""       ,	max_length=20				)
      self.assertEqual(
          lowerCamelCase       ,	[
              {
                  """translation_text""": (
                      """Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide"""
                      """ Beide Beide"""
                  )
              }
          ]       ,	)







   @require_tf
   def 							A__						(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		pipeline("""translation_en_to_ro"""       ,	model="""patrickvonplaten/t5-tiny-random"""       ,	framework="""tf"""				)
      _lowerCAmelCase					     =		translator("""This is a test string"""       ,	max_length=20				)
      self.assertEqual(
          lowerCamelCase       ,	[
              {
                  """translation_text""": (
                      """Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide"""
                      """ Beide Beide"""
                  )
              }
          ]       ,	)







   @require_torch
   def 							A__						(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		pipeline("""translation_en_to_de"""       ,	model="""patrickvonplaten/t5-tiny-random"""       ,	framework="""pt"""				)
      _lowerCAmelCase					     =		translator("""This is a test string"""       ,	max_length=20				)
      self.assertEqual(
          lowerCamelCase       ,	[
              {
                  """translation_text""": (
                      """monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine"""
                      """ urine urine urine urine urine urine urine"""
                  )
              }
          ]       ,	)







   @require_tf
   def 							A__						(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		pipeline("""translation_en_to_de"""       ,	model="""patrickvonplaten/t5-tiny-random"""       ,	framework="""tf"""				)
      _lowerCAmelCase					     =		translator("""This is a test string"""       ,	max_length=20				)
      self.assertEqual(
          lowerCamelCase       ,	[
              {
                  """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    ):







   @require_torch
   @slow
   def 							A__						(self				):




      '''simple docstring'''




      with self.assertRaises(lowerCamelCase				):
         pipeline(task="""translation_cn_to_ar"""				)

      # but we do for this one
      _lowerCAmelCase					     =		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 							A__						(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		MBartForConditionalGeneration.from_pretrained("""facebook/mbart-large-50-many-to-many-mmt"""				)
      _lowerCAmelCase					     =		MBartaaTokenizerFast.from_pretrained("""facebook/mbart-large-50-many-to-many-mmt"""				)

      _lowerCAmelCase					     =		pipeline(task="""translation"""       ,	model=lowerCamelCase       ,	tokenizer=lowerCamelCase				)
      # Missing src_lang, tgt_lang
      with self.assertRaises(lowerCamelCase				):
         translator("""This is a test"""				)

      _lowerCAmelCase					     =		translator("""This is a test"""       ,	src_lang="""en_XX"""       ,	tgt_lang="""ar_AR"""				)
      self.assertEqual(lowerCamelCase       ,	[{"""translation_text""": """هذا إختبار"""}]				)

      _lowerCAmelCase					     =		translator("""This is a test"""       ,	src_lang="""en_XX"""       ,	tgt_lang="""hi_IN"""				)
      self.assertEqual(lowerCamelCase       ,	[{"""translation_text""": """यह एक परीक्षण है"""}]				)

      # src_lang, tgt_lang can be defined at pipeline call time
      _lowerCAmelCase					     =		pipeline(task="""translation"""       ,	model=lowerCamelCase       ,	tokenizer=lowerCamelCase       ,	src_lang="""en_XX"""       ,	tgt_lang="""ar_AR"""				)
      _lowerCAmelCase					     =		translator("""This is a test"""				)
      self.assertEqual(lowerCamelCase       ,	[{"""translation_text""": """هذا إختبار"""}]				)







   @require_torch
   def 							A__						(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		"""patrickvonplaten/t5-tiny-random"""
      _lowerCAmelCase					     =		pipeline(task="""translation_cn_to_ar"""       ,	model=lowerCamelCase				)
      self.assertEqual(translator._preprocess_params["""src_lang"""]       ,	"""cn"""				)
      self.assertEqual(translator._preprocess_params["""tgt_lang"""]       ,	"""ar"""				)







   @require_torch
   def 							A__						(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		"""patrickvonplaten/t5-tiny-random"""
      with pytest.warns(lowerCamelCase       ,	match=R""".*translation_en_to_de.*"""				):
         _lowerCAmelCase					     =		pipeline(task="""translation"""       ,	model=lowerCamelCase				)
      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 							A__						(self				):




      '''simple docstring'''




      with self.assertRaises(lowerCamelCase				):
         pipeline(task="""translation"""				)




"""simple docstring"""





from itertools import combinations_with_replacement






def 	__UpperCAmelCase					(       snake_case_  :  int = 100   )							->	int:






   """simple docstring"""


   _lowerCAmelCase					     =		[*list(range(1   ,	21   )   ), 25]
   _lowerCAmelCase					     =		[2 * x for x in range(1   ,	21   )] + [50]
   _lowerCAmelCase					     =		[3 * x for x in range(1   ,	21   )]
   _lowerCAmelCase					     =		singles + doubles + triples + [0]

   _lowerCAmelCase					     =		0
   _lowerCAmelCase					     =		42
   _lowerCAmelCase					     =		42
   _lowerCAmelCase					     =		42
   _lowerCAmelCase					     =		42

   for double in doubles:
      for throwa, throwa in combinations_with_replacement(snake_case_   ,	2   ):
         _lowerCAmelCase					     =		double + throwa + throwa
         if checkout_total < limit:
            num_checkouts += 1

   return num_checkouts


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