






'''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 				_UpperCAmelCase  (						unittest.TestCase	):
    __lowerCamelCase:      Optional[Any]										=			MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
    __lowerCamelCase:      int										=			TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING




    def  lowerCAmelCase__ (	self     :				List[Any]     ,   a     :				Any     ,   a     :				List[Any]     ,   a     :				Optional[Any]	):






       '''simple docstring'''






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




    def  lowerCAmelCase__ (	self     :				Optional[int]     ,   a     :				List[Any]     ,   a     :				List[Any]	):






       '''simple docstring'''






       lowercase_		:			List[str]							=   translator("Some string"	)
       self.assertEqual(_lowerCamelCase     ,   [{"translation_text": ANY(_lowerCamelCase	)}]	)

       lowercase_		:			List[str]							=   translator(["Some string"]	)
       self.assertEqual(_lowerCamelCase     ,   [{"translation_text": ANY(_lowerCamelCase	)}]	)

       lowercase_		:			Tuple							=   translator(["Some string", "other string"]	)
       self.assertEqual(_lowerCamelCase     ,   [{"translation_text": ANY(_lowerCamelCase	)}, {"translation_text": ANY(_lowerCamelCase	)}]	)




    @require_torch
    def  lowerCAmelCase__ (	self     :				List[Any]	):






       '''simple docstring'''






       lowercase_		:			str							=   pipeline("translation_en_to_ro"     ,   model="patrickvonplaten/t5-tiny-random"     ,   framework="pt"	)
       lowercase_		:			Optional[Any]							=   translator("This is a test string"     ,   max_length=2_0	)
       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  lowerCAmelCase__ (	self     :				Dict	):






       '''simple docstring'''






       lowercase_		:			Union[str, Any]							=   pipeline("translation_en_to_ro"     ,   model="patrickvonplaten/t5-tiny-random"     ,   framework="tf"	)
       lowercase_		:			Union[str, Any]							=   translator("This is a test string"     ,   max_length=2_0	)
       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  lowerCAmelCase__ (	self     :				List[str]	):






       '''simple docstring'''






       lowercase_		:			Tuple							=   pipeline("translation_en_to_de"     ,   model="patrickvonplaten/t5-tiny-random"     ,   framework="pt"	)
       lowercase_		:			Tuple							=   translator("This is a test string"     ,   max_length=2_0	)
       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  lowerCAmelCase__ (	self     :				int	):






       '''simple docstring'''






       lowercase_		:			int							=   pipeline("translation_en_to_de"     ,   model="patrickvonplaten/t5-tiny-random"     ,   framework="tf"	)
       lowercase_		:			Optional[Any]							=   translator("This is a test string"     ,   max_length=2_0	)
       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 				_UpperCAmelCase  (						unittest.TestCase	):




    @require_torch
    @slow
    def  lowerCAmelCase__ (	self     :				int	):






       '''simple docstring'''






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

       # but we do for this one
       lowercase_		:			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     :				Optional[Any]	):






       '''simple docstring'''






       lowercase_		:			List[Any]							=   MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-many-to-many-mmt"	)
       lowercase_		:			Tuple							=   MBartaaTokenizerFast.from_pretrained("facebook/mbart-large-50-many-to-many-mmt"	)

       lowercase_		:			List[str]							=   pipeline(task="translation"     ,   model=_lowerCamelCase     ,   tokenizer=_lowerCamelCase	)
       # Missing src_lang, tgt_lang
       with self.assertRaises(_lowerCamelCase	):
          translator("This is a test"	)

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

       lowercase_		:			Any							=   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_		:			List[str]							=   pipeline(task="translation"     ,   model=_lowerCamelCase     ,   tokenizer=_lowerCamelCase     ,   src_lang="en_XX"     ,   tgt_lang="ar_AR"	)
       lowercase_		:			Union[str, Any]							=   translator("This is a test"	)
       self.assertEqual(_lowerCamelCase     ,   [{"translation_text": "هذا إختبار"}]	)




    @require_torch
    def  lowerCAmelCase__ (	self     :				List[Any]	):






       '''simple docstring'''






       lowercase_		:			List[str]							=   "patrickvonplaten/t5-tiny-random"
       lowercase_		:			Optional[int]							=   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  lowerCAmelCase__ (	self     :				str	):






       '''simple docstring'''






       lowercase_		:			Tuple							=   "patrickvonplaten/t5-tiny-random"
       with pytest.warns(_lowerCamelCase     ,   match=R".*translation_en_to_de.*"	):
          lowercase_		:			str							=   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  lowerCAmelCase__ (	self     :				Union[str, Any]	):






       '''simple docstring'''






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





"""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    __UpperCAmelCase						(	unittest.TestCase	):
				A__      :   Optional[Any]  							=       MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
				A__      :   int  							=       TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING

				def 		_a	(      self	, _lowerCamelCase	, _lowerCamelCase	, _lowerCamelCase      ):
										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      ):
										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      ):
										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      ):
										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      ):
										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      ):
										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    __UpperCAmelCase						(	unittest.TestCase	):

				@require_torch
				@slow
				def 		_a	(      self      ):
										# We don't provide a default for this pair
										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      ):
										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      ):
										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      ):
										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      ):
										with self.assertRaises(_lowerCamelCase      ):
																pipeline(task="translation"      )


