

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  ):


    '''simple docstring'''






    a__       							=    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
    a__       							=    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING


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


    def        lowerCAmelCase_  (self       , lowercase__       , lowercase__					)       -> int:
        __UpperCAmelCase			   =     translator('''Some string'''					)
        self.assertEqual(lowercase__       , [{'''translation_text''': ANY(lowercase__					)}]					)

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

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


    @require_torch
    def        lowerCAmelCase_  (self					)       -> str:
        __UpperCAmelCase			   =     pipeline('''translation_en_to_ro'''       , model='''patrickvonplaten/t5-tiny-random'''       , framework='''pt'''					)
        __UpperCAmelCase			   =     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					)       -> Tuple:
        __UpperCAmelCase			   =     pipeline('''translation_en_to_ro'''       , model='''patrickvonplaten/t5-tiny-random'''       , framework='''tf'''					)
        __UpperCAmelCase			   =     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]:
        __UpperCAmelCase			   =     pipeline('''translation_en_to_de'''       , model='''patrickvonplaten/t5-tiny-random'''       , framework='''pt'''					)
        __UpperCAmelCase			   =     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					)       -> int:
        __UpperCAmelCase			   =     pipeline('''translation_en_to_de'''       , model='''patrickvonplaten/t5-tiny-random'''       , framework='''tf'''					)
        __UpperCAmelCase			   =     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  ):


    '''simple docstring'''






    @require_torch
    @slow
    def        lowerCAmelCase_  (self					)       -> Optional[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
        __UpperCAmelCase			   =     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:
        __UpperCAmelCase			   =     MBartForConditionalGeneration.from_pretrained('''facebook/mbart-large-50-many-to-many-mmt'''					)
        __UpperCAmelCase			   =     MBartaaTokenizerFast.from_pretrained('''facebook/mbart-large-50-many-to-many-mmt'''					)

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

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

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


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







from dataclasses import dataclass
from typing import Callable, Optional

import datasets
@dataclass
class    A_				( datasets.BuilderConfig  ):


    '''simple docstring'''






    a__       							=    None
    a__       							=    None
    a__       							=    None


    def        lowerCAmelCase_  (self					)       -> Dict:
        assert self.generator is not None, "generator must be specified"

        if self.gen_kwargs is None:
            __UpperCAmelCase			   =     {}






class    A_				( datasets.GeneratorBasedBuilder  ):


    '''simple docstring'''






    a__       							=    GeneratorConfig


    def        lowerCAmelCase_  (self					)       -> Dict:
        return datasets.DatasetInfo(features=self.config.features					)


    def        lowerCAmelCase_  (self       , lowercase__					)       -> List[str]:
        return [datasets.SplitGenerator(name=datasets.Split.TRAIN       , gen_kwargs=self.config.gen_kwargs					)]






    def        lowerCAmelCase_  (self       , **lowercase__					)       -> str:
        for idx, ex in enumerate(self.config.generator(**lowercase__					)					):
            yield idx, ex




