




"""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  __lowercase    (     unittest.TestCase		):


				'''simple docstring'''


				_lowerCAmelCase		     =MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
				_lowerCAmelCase		     =TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING

				def  _lowerCamelCase   (				self				:       List[Any] ,SCREAMING_SNAKE_CASE_				:       str ,SCREAMING_SNAKE_CASE_				:       Optional[int] ,SCREAMING_SNAKE_CASE_				:       Optional[Any] ):
										if isinstance(model.config ,SCREAMING_SNAKE_CASE_ ):
																snake_case__     ,		snake_case__    :   Tuple							     =   list(tokenizer.lang_code_to_id.keys() )[:2]
																snake_case__    :   int							     =   TranslationPipeline(model=SCREAMING_SNAKE_CASE_ ,tokenizer=SCREAMING_SNAKE_CASE_ ,src_lang=SCREAMING_SNAKE_CASE_ ,tgt_lang=SCREAMING_SNAKE_CASE_ )
										else:
																snake_case__    :   Tuple							     =   TranslationPipeline(model=SCREAMING_SNAKE_CASE_ ,tokenizer=SCREAMING_SNAKE_CASE_ )
										return translator, ["Some string", "Some other text"]

				def  _lowerCamelCase   (				self				:       Any ,SCREAMING_SNAKE_CASE_				:       int ,SCREAMING_SNAKE_CASE_				:       str ):
										snake_case__    :   str							     =   translator('''Some string''' )
										self.assertEqual(SCREAMING_SNAKE_CASE_ ,[{'''translation_text''': ANY(SCREAMING_SNAKE_CASE_ )}] )

										snake_case__    :   Optional[Any]							     =   translator(['''Some string'''] )
										self.assertEqual(SCREAMING_SNAKE_CASE_ ,[{'''translation_text''': ANY(SCREAMING_SNAKE_CASE_ )}] )

										snake_case__    :   Optional[int]							     =   translator(['''Some string''', '''other string'''] )
										self.assertEqual(SCREAMING_SNAKE_CASE_ ,[{'''translation_text''': ANY(SCREAMING_SNAKE_CASE_ )}, {'''translation_text''': ANY(SCREAMING_SNAKE_CASE_ )}] )

				@require_torch
				def  _lowerCamelCase   (				self				:       Union[str, Any] ):
										snake_case__    :   List[str]							     =   pipeline('''translation_en_to_ro''' ,model='''patrickvonplaten/t5-tiny-random''' ,framework='''pt''' )
										snake_case__    :   Tuple							     =   translator('''This is a test string''' ,max_length=2_0 )
										self.assertEqual(
										    SCREAMING_SNAKE_CASE_ ,[
										        {
										            '''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] ):
										snake_case__    :   Dict							     =   pipeline('''translation_en_to_ro''' ,model='''patrickvonplaten/t5-tiny-random''' ,framework='''tf''' )
										snake_case__    :   Optional[Any]							     =   translator('''This is a test string''' ,max_length=2_0 )
										self.assertEqual(
										    SCREAMING_SNAKE_CASE_ ,[
										        {
										            '''translation_text''': (
										                '''Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide'''
										                ''' Beide Beide'''
										            )
										        }
										    ] ,)

				@require_torch
				def  _lowerCamelCase   (				self				:       int ):
										snake_case__    :   List[str]							     =   pipeline('''translation_en_to_de''' ,model='''patrickvonplaten/t5-tiny-random''' ,framework='''pt''' )
										snake_case__    :   int							     =   translator('''This is a test string''' ,max_length=2_0 )
										self.assertEqual(
										    SCREAMING_SNAKE_CASE_ ,[
										        {
										            '''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				:       Any ):
										snake_case__    :   Tuple							     =   pipeline('''translation_en_to_de''' ,model='''patrickvonplaten/t5-tiny-random''' ,framework='''tf''' )
										snake_case__    :   Optional[Any]							     =   translator('''This is a test string''' ,max_length=2_0 )
										self.assertEqual(
										    SCREAMING_SNAKE_CASE_ ,[
										        {
										            '''translation_text''': (
										                '''monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine'''
										                ''' urine urine urine urine urine urine urine'''
										            )
										        }
										    ] ,)







class  __lowercase    (     unittest.TestCase		):


				'''simple docstring'''


				@require_torch
				@slow
				def  _lowerCamelCase   (				self				:       Optional[Any] ):
										# We don't provide a default for this pair
										with self.assertRaises(SCREAMING_SNAKE_CASE_ ):
																pipeline(task='''translation_cn_to_ar''' )

										# but we do for this one
										snake_case__    :   Dict							     =   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				:       List[str] ):
										snake_case__    :   Optional[int]							     =   MBartForConditionalGeneration.from_pretrained('''facebook/mbart-large-50-many-to-many-mmt''' )
										snake_case__    :   str							     =   MBartaaTokenizerFast.from_pretrained('''facebook/mbart-large-50-many-to-many-mmt''' )

										snake_case__    :   Optional[int]							     =   pipeline(task='''translation''' ,model=SCREAMING_SNAKE_CASE_ ,tokenizer=SCREAMING_SNAKE_CASE_ )
										# Missing src_lang, tgt_lang
										with self.assertRaises(SCREAMING_SNAKE_CASE_ ):
																translator('''This is a test''' )

										snake_case__    :   Optional[int]							     =   translator('''This is a test''' ,src_lang='''en_XX''' ,tgt_lang='''ar_AR''' )
										self.assertEqual(SCREAMING_SNAKE_CASE_ ,[{'''translation_text''': '''هذا إختبار'''}] )

										snake_case__    :   List[str]							     =   translator('''This is a test''' ,src_lang='''en_XX''' ,tgt_lang='''hi_IN''' )
										self.assertEqual(SCREAMING_SNAKE_CASE_ ,[{'''translation_text''': '''यह एक परीक्षण है'''}] )

										# src_lang, tgt_lang can be defined at pipeline call time
										snake_case__    :   int							     =   pipeline(task='''translation''' ,model=SCREAMING_SNAKE_CASE_ ,tokenizer=SCREAMING_SNAKE_CASE_ ,src_lang='''en_XX''' ,tgt_lang='''ar_AR''' )
										snake_case__    :   Union[str, Any]							     =   translator('''This is a test''' )
										self.assertEqual(SCREAMING_SNAKE_CASE_ ,[{'''translation_text''': '''هذا إختبار'''}] )

				@require_torch
				def  _lowerCamelCase   (				self				:       Optional[Any] ):
										snake_case__    :   Optional[int]							     =   '''patrickvonplaten/t5-tiny-random'''
										snake_case__    :   Optional[Any]							     =   pipeline(task='''translation_cn_to_ar''' ,model=SCREAMING_SNAKE_CASE_ )
										self.assertEqual(translator._preprocess_params['''src_lang'''] ,'''cn''' )
										self.assertEqual(translator._preprocess_params['''tgt_lang'''] ,'''ar''' )

				@require_torch
				def  _lowerCamelCase   (				self				:       List[Any] ):
										snake_case__    :   Optional[Any]							     =   '''patrickvonplaten/t5-tiny-random'''
										with pytest.warns(SCREAMING_SNAKE_CASE_ ,match=r'''.*translation_en_to_de.*''' ):
																snake_case__    :   List[Any]							     =   pipeline(task='''translation''' ,model=SCREAMING_SNAKE_CASE_ )
										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				:       Optional[int] ):
										with self.assertRaises(SCREAMING_SNAKE_CASE_ ):
																pipeline(task='''translation''' )








"""simple docstring"""





def 						lowerCAmelCase							(	lowerCamelCase						):
						'''simple docstring'''


						return int(lowerCamelCase						) if x - int(lowerCamelCase						) <= 0 else int(lowerCamelCase						) + 1


if __name__ == "__main__":
							import doctest

							doctest.testmod()


