
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					):
					__a					=    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
					__a					=    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
					def lowercase_			(		self ,	SCREAMING_SNAKE_CASE__ ,	SCREAMING_SNAKE_CASE__ ,	SCREAMING_SNAKE_CASE__    ):
								"""simple docstring"""







								if isinstance(model.config ,	SCREAMING_SNAKE_CASE__    ):
											lowerCAmelCase__      ,				lowerCAmelCase__ :    Tuple				      =			list(tokenizer.lang_code_to_id.keys()    )[:2]
											lowerCAmelCase__ :    Union[str, Any]				      =			TranslationPipeline(model=SCREAMING_SNAKE_CASE__ ,	tokenizer=SCREAMING_SNAKE_CASE__ ,	src_lang=SCREAMING_SNAKE_CASE__ ,	tgt_lang=SCREAMING_SNAKE_CASE__    )
								else:
											lowerCAmelCase__ :    Union[str, Any]				      =			TranslationPipeline(model=SCREAMING_SNAKE_CASE__ ,	tokenizer=SCREAMING_SNAKE_CASE__    )
								return translator, ["Some string", "Some other text"]
					def lowercase_			(		self ,	SCREAMING_SNAKE_CASE__ ,	SCREAMING_SNAKE_CASE__    ):
								"""simple docstring"""







								lowerCAmelCase__ :    Tuple				      =			translator('''Some string'''    )
								self.assertEqual(SCREAMING_SNAKE_CASE__ ,	[{'''translation_text''': ANY(SCREAMING_SNAKE_CASE__    )}]    )

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

								lowerCAmelCase__ :    str				      =			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 lowercase_			(		self    ):
								"""simple docstring"""







								lowerCAmelCase__ :    List[Any]				      =			pipeline('''translation_en_to_ro''' ,	model='''patrickvonplaten/t5-tiny-random''' ,	framework='''pt'''    )
								lowerCAmelCase__ :    Dict				      =			translator('''This is a test string''' ,	max_length=20    )
								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 lowercase_			(		self    ):
								"""simple docstring"""







								lowerCAmelCase__ :    int				      =			pipeline('''translation_en_to_ro''' ,	model='''patrickvonplaten/t5-tiny-random''' ,	framework='''tf'''    )
								lowerCAmelCase__ :    Tuple				      =			translator('''This is a test string''' ,	max_length=20    )
								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 lowercase_			(		self    ):
								"""simple docstring"""







								lowerCAmelCase__ :    str				      =			pipeline('''translation_en_to_de''' ,	model='''patrickvonplaten/t5-tiny-random''' ,	framework='''pt'''    )
								lowerCAmelCase__ :    Tuple				      =			translator('''This is a test string''' ,	max_length=20    )
								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 lowercase_			(		self    ):
								"""simple docstring"""







								lowerCAmelCase__ :    List[Any]				      =			pipeline('''translation_en_to_de''' ,	model='''patrickvonplaten/t5-tiny-random''' ,	framework='''tf'''    )
								lowerCAmelCase__ :    List[Any]				      =			translator('''This is a test string''' ,	max_length=20    )
								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					):
					@require_torch
					@slow
					def lowercase_			(		self    ):
								"""simple docstring"""







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

								# but we do for this one
								lowerCAmelCase__ :    Optional[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 lowercase_			(		self    ):
								"""simple docstring"""







								lowerCAmelCase__ :    Dict				      =			MBartForConditionalGeneration.from_pretrained('''facebook/mbart-large-50-many-to-many-mmt'''    )
								lowerCAmelCase__ :    Any				      =			MBartaaTokenizerFast.from_pretrained('''facebook/mbart-large-50-many-to-many-mmt'''    )

								lowerCAmelCase__ :    Tuple				      =			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'''    )

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

								lowerCAmelCase__ :    Optional[Any]				      =			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
								lowerCAmelCase__ :    Tuple				      =			pipeline(task='''translation''' ,	model=SCREAMING_SNAKE_CASE__ ,	tokenizer=SCREAMING_SNAKE_CASE__ ,	src_lang='''en_XX''' ,	tgt_lang='''ar_AR'''    )
								lowerCAmelCase__ :    str				      =			translator('''This is a test'''    )
								self.assertEqual(SCREAMING_SNAKE_CASE__ ,	[{'''translation_text''': '''هذا إختبار'''}]    )
					@require_torch
					def lowercase_			(		self    ):
								"""simple docstring"""







								lowerCAmelCase__ :    Optional[Any]				      =			'''patrickvonplaten/t5-tiny-random'''
								lowerCAmelCase__ :    Union[str, 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 lowercase_			(		self    ):
								"""simple docstring"""







								lowerCAmelCase__ :    int				      =			'''patrickvonplaten/t5-tiny-random'''
								with pytest.warns(SCREAMING_SNAKE_CASE__ ,	match=R'''.*translation_en_to_de.*'''    ):
											lowerCAmelCase__ :    List[str]				      =			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 lowercase_			(		self    ):
								"""simple docstring"""







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





import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils





class 						lowercase       (  unittest.TestCase					):
					@patch('''diffusers.utils.hub_utils.get_full_repo_name'''    )
					def lowercase_			(		self ,	SCREAMING_SNAKE_CASE__    ):
								"""simple docstring"""







								lowerCAmelCase__ :    str				      =			'''full_repo_name'''
								with TemporaryDirectory() as tmpdir:
											# Dummy args values
											lowerCAmelCase__ :    Optional[int]				      =			Mock()
											lowerCAmelCase__ :    Optional[int]				      =			tmpdir
											lowerCAmelCase__ :    Optional[Any]				      =			0
											lowerCAmelCase__ :    Optional[int]				      =			'''hub_token'''
											lowerCAmelCase__ :    Tuple				      =			'''dataset_name'''
											lowerCAmelCase__ :    int				      =			0.01
											lowerCAmelCase__ :    Optional[int]				      =			100000
											lowerCAmelCase__ :    Any				      =			10000
											lowerCAmelCase__ :    Union[str, Any]				      =			0.01
											lowerCAmelCase__ :    int				      =			0.02
											lowerCAmelCase__ :    Union[str, Any]				      =			0.03
											lowerCAmelCase__ :    str				      =			0.0_005
											lowerCAmelCase__ :    Dict				      =			0.000_001
											lowerCAmelCase__ :    Tuple				      =			1
											lowerCAmelCase__ :    Optional[int]				      =			10
											lowerCAmelCase__ :    int				      =			0.001
											lowerCAmelCase__ :    Union[str, Any]				      =			0.1
											lowerCAmelCase__ :    Tuple				      =			0.2
											lowerCAmelCase__ :    Optional[int]				      =			True

											# Model card mush be rendered and saved
											diffusers.utils.hub_utils.create_model_card(SCREAMING_SNAKE_CASE__ ,	model_name='''model_name'''    )
											self.assertTrue((Path(SCREAMING_SNAKE_CASE__    ) / '''README.md''').is_file()    )



