





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 		snake_case_      (       unittest.TestCase	):







	'''simple docstring'''
	__UpperCamelCase        =		MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
	__UpperCamelCase        =		TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING




	def       UpperCAmelCase (	self       :    List[str]				,			__lowerCamelCase       :    int				,			__lowerCamelCase       :    Optional[Any]				,			__lowerCamelCase       :    Any      )					->   Optional[Any]:

			'''simple docstring'''




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




	def       UpperCAmelCase (	self       :    List[str]				,			__lowerCamelCase       :    Optional[Any]				,			__lowerCamelCase       :    Tuple      )					->   Optional[int]:

			'''simple docstring'''




			__lowercase					=    translator('Some string'      )
			self.assertEqual(__lowerCamelCase				,			[{'translation_text': ANY(__lowerCamelCase      )}]      )

			__lowercase					=    translator(['Some string']      )
			self.assertEqual(__lowerCamelCase				,			[{'translation_text': ANY(__lowerCamelCase      )}]      )

			__lowercase					=    translator(['Some string', 'other string']      )
			self.assertEqual(__lowerCamelCase				,			[{'translation_text': ANY(__lowerCamelCase      )}, {'translation_text': ANY(__lowerCamelCase      )}]      )




	@require_torch
	def       UpperCAmelCase (	self       :    Union[str, Any]      )					->   str:

			'''simple docstring'''




			__lowercase					=    pipeline('translation_en_to_ro'				,			model='patrickvonplaten/t5-tiny-random'				,			framework='pt'      )
			__lowercase					=    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       UpperCAmelCase (	self       :    List[Any]      )					->   Union[str, Any]:

			'''simple docstring'''




			__lowercase					=    pipeline('translation_en_to_ro'				,			model='patrickvonplaten/t5-tiny-random'				,			framework='tf'      )
			__lowercase					=    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       UpperCAmelCase (	self       :    Optional[int]      )					->   Tuple:

			'''simple docstring'''




			__lowercase					=    pipeline('translation_en_to_de'				,			model='patrickvonplaten/t5-tiny-random'				,			framework='pt'      )
			__lowercase					=    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       UpperCAmelCase (	self       :    Any      )					->   Any:

			'''simple docstring'''




			__lowercase					=    pipeline('translation_en_to_de'				,			model='patrickvonplaten/t5-tiny-random'				,			framework='tf'      )
			__lowercase					=    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 		snake_case_      (       unittest.TestCase	):







	'''simple docstring'''




	@require_torch
	@slow
	def       UpperCAmelCase (	self       :    Optional[int]      )					->   Tuple:

			'''simple docstring'''




			with self.assertRaises(__lowerCamelCase      ):
					pipeline(task='translation_cn_to_ar'      )

			# but we do for this one
			__lowercase					=    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       UpperCAmelCase (	self       :    Any      )					->   Optional[Any]:

			'''simple docstring'''




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

			__lowercase					=    pipeline(task='translation'				,			model=__lowerCamelCase				,			tokenizer=__lowerCamelCase      )
			# Missing src_lang, tgt_lang
			with self.assertRaises(__lowerCamelCase      ):
					translator('This is a test'      )

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

			__lowercase					=    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
			__lowercase					=    pipeline(task='translation'				,			model=__lowerCamelCase				,			tokenizer=__lowerCamelCase				,			src_lang='en_XX'				,			tgt_lang='ar_AR'      )
			__lowercase					=    translator('This is a test'      )
			self.assertEqual(__lowerCamelCase				,			[{'translation_text': 'هذا إختبار'}]      )




	@require_torch
	def       UpperCAmelCase (	self       :    Dict      )					->   int:

			'''simple docstring'''




			__lowercase					=    'patrickvonplaten/t5-tiny-random'
			__lowercase					=    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       UpperCAmelCase (	self       :    Dict      )					->   Dict:

			'''simple docstring'''




			__lowercase					=    'patrickvonplaten/t5-tiny-random'
			with pytest.warns(__lowerCamelCase				,			match=R'.*translation_en_to_de.*'      ):
					__lowercase					=    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       UpperCAmelCase (	self       :    Dict      )					->   Tuple:

			'''simple docstring'''




			with self.assertRaises(__lowerCamelCase      ):
					pipeline(task='translation'      )











def    SCREAMING_SNAKE_CASE							(			snake_case       )		->						int:
		__lowercase					=    str(snake_case       ).strip()
		if not bin_string:
				raise ValueError('Empty string was passed to the function'       )
		__lowercase					=    bin_string[0] == '-'
		if is_negative:
				__lowercase					=    bin_string[1:]
		if not all(char in '01' for char in bin_string       ):
				raise ValueError('Non-binary value was passed to the function'       )
		__lowercase					=    0
		for char in bin_string:
				__lowercase					=    2 * decimal_number + int(snake_case       )
		return -decimal_number if is_negative else decimal_number


if __name__ == "__main__":
		from doctest import testmod

		testmod()




