






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        a__      (	unittest.TestCase		):
		UpperCAmelCase_							:       Tuple 					= MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
		UpperCAmelCase_							:       Any 					= TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING






		def 					_lowerCamelCase					(      self							, lowercase__							, lowercase__							, lowercase__						)				->				str:
				if isinstance(model.config							, lowercase__						):
						__A ,   __A    =							list(tokenizer.lang_code_to_id.keys()						)[:2]
						__A    =							TranslationPipeline(model=lowercase__							, tokenizer=lowercase__							, src_lang=lowercase__							, tgt_lang=lowercase__						)
				else:
						__A    =							TranslationPipeline(model=lowercase__							, tokenizer=lowercase__						)
				return translator, ["Some string", "Some other text"]






		def 					_lowerCamelCase					(      self							, lowercase__							, lowercase__						)				->				Union[str, Any]:
				__A    =							translator("Some string"						)
				self.assertEqual(lowercase__							, [{"translation_text": ANY(lowercase__						)}]						)

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

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






		@require_torch
		def 					_lowerCamelCase					(      self						)				->				str:
				__A    =							pipeline("translation_en_to_ro"							, model="patrickvonplaten/t5-tiny-random"							, framework="pt"						)
				__A    =							translator("This is a test string"							, max_length=20						)
				self.assertEqual(
				    lowercase__							, [
				        {
				            "translation_text": (
				                "Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide"
				                " Beide Beide"
				            )
				        }
				    ]							, )






		@require_tf
		def 					_lowerCamelCase					(      self						)				->				Optional[int]:
				__A    =							pipeline("translation_en_to_ro"							, model="patrickvonplaten/t5-tiny-random"							, framework="tf"						)
				__A    =							translator("This is a test string"							, max_length=20						)
				self.assertEqual(
				    lowercase__							, [
				        {
				            "translation_text": (
				                "Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide"
				                " Beide Beide"
				            )
				        }
				    ]							, )






		@require_torch
		def 					_lowerCamelCase					(      self						)				->				Union[str, Any]:
				__A    =							pipeline("translation_en_to_de"							, model="patrickvonplaten/t5-tiny-random"							, framework="pt"						)
				__A    =							translator("This is a test string"							, max_length=20						)
				self.assertEqual(
				    lowercase__							, [
				        {
				            "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						)				->				Optional[int]:
				__A    =							pipeline("translation_en_to_de"							, model="patrickvonplaten/t5-tiny-random"							, framework="tf"						)
				__A    =							translator("This is a test string"							, max_length=20						)
				self.assertEqual(
				    lowercase__							, [
				        {
				            "translation_text": (
				                "monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine"
				                " urine urine urine urine urine urine urine"
				            )
				        }
				    ]							, )





class        a__      (	unittest.TestCase		):






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

				# but we do for this one
				__A    =							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						)				->				str:
				__A    =							MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-many-to-many-mmt"						)
				__A    =							MBartaaTokenizerFast.from_pretrained("facebook/mbart-large-50-many-to-many-mmt"						)

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

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

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

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






		@require_torch
		def 					_lowerCamelCase					(      self						)				->				Union[str, Any]:
				__A    =							"patrickvonplaten/t5-tiny-random"
				__A    =							pipeline(task="translation_cn_to_ar"							, model=lowercase__						)
				self.assertEqual(translator._preprocess_params["src_lang"]							, "cn"						)
				self.assertEqual(translator._preprocess_params["tgt_lang"]							, "ar"						)






		@require_torch
		def 					_lowerCamelCase					(      self						)				->				Union[str, Any]:
				__A    =							"patrickvonplaten/t5-tiny-random"
				with pytest.warns(lowercase__							, match=R".*translation_en_to_de.*"						):
						__A    =							pipeline(task="translation"							, model=lowercase__						)
				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:
				with self.assertRaises(lowercase__						):
						pipeline(task="translation"						)





def   snake_case_	(    snake_case	)    ->							str:
       lowercase__:  Optional[Any]         =  1
       lowercase__:  Optional[Any]         =  0
       lowercase__:  int         =  1
       lowercase__:  Any         =  1
       lowercase__:  Optional[Any]         =  3
       lowercase__:  List[str]         =  3
       lowercase__:  Optional[Any]         =  limit
       lowercase__:  List[Any]         =  0

       lowercase__:  int         =  ''
       while counter != decimal + 1:
              if 4 * q + r - t < n * t:
                     result += str(snake_case	)
                     if counter == 0:
                            result += "."

                     if decimal == counter:
                            break

                     counter += 1
                     lowercase__:  List[Any]         =  10 * (r - n * t)
                     lowercase__:  int         =  ((10 * (3 * q + r)) // t) - 10 * n
                     q *= 10
                     lowercase__:  Any         =  nr
              else:
                     lowercase__:  List[str]         =  (2 * q + r) * l
                     lowercase__:  Tuple         =  (q * (7 * k) + 2 + (r * l)) // (t * l)
                     q *= k
                     t *= l
                     l += 2
                     k += 1
                     lowercase__:  Dict         =  nn
                     lowercase__:  Optional[int]         =  nr
       return result




def   snake_case_	(    )    ->							None:
       print(f'{calculate_pi(50	) = }'	)
       import doctest

       doctest.testmod()


if __name__ == "__main__":
 main()


