
"""simple docstring"""





import argparse
import os

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_task_guides.py
_a														=		"""src/transformers"""
_a														=		"""docs/source/en/tasks"""



def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case     )							->		Union[str, Any]:


					"""simple docstring"""





					with open(__snake_case,					'''r''',					encoding='''utf-8''',					newline='''\n'''     ) as f:
										_UpperCamelCase										=  f.readlines()
					# Find the start prompt.
					_UpperCamelCase										=  0
					while not lines[start_index].startswith(__snake_case     ):
										start_index += 1
					start_index += 1

					_UpperCamelCase										=  start_index
					while not lines[end_index].startswith(__snake_case     ):
										end_index += 1
					end_index -= 1

					while len(lines[start_index]     ) <= 1:
										start_index += 1
					while len(lines[end_index]     ) <= 1:
										end_index -= 1
					end_index += 1
					return "".join(lines[start_index:end_index]     ), start_index, end_index, lines


# This is to make sure the transformers module imported is the one in the repo.
_a														=		direct_transformers_import(TRANSFORMERS_PATH)

_a														=		{
    """asr.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_CTC_MAPPING_NAMES,
    """audio_classification.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
    """language_modeling.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
    """image_classification.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
    """masked_language_modeling.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_MASKED_LM_MAPPING_NAMES,
    """multiple_choice.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_MULTIPLE_CHOICE_MAPPING_NAMES,
    """object_detection.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES,
    """question_answering.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES,
    """semantic_segmentation.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES,
    """sequence_classification.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES,
    """summarization.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES,
    """token_classification.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES,
    """translation.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES,
    """video_classification.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING_NAMES,
    """document_question_answering.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES,
    """monocular_depth_estimation.md""": transformers_module.models.auto.modeling_auto.MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES,
}

# This list contains model types used in some task guides that are not in `CONFIG_MAPPING_NAMES` (therefore not in any
# `MODEL_MAPPING_NAMES` or any `MODEL_FOR_XXX_MAPPING_NAMES`).
_a														=		{
    """summarization.md""": ("""nllb""",),
    """translation.md""": ("""nllb""",),
}



def 				lowerCamelCase__		(      __snake_case     )							->		str:


					"""simple docstring"""





					_UpperCamelCase										=  TASK_GUIDE_TO_MODELS[task_guide]
					_UpperCamelCase										=  SPECIAL_TASK_GUIDE_TO_MODEL_TYPES.get(__snake_case,					set()     )
					_UpperCamelCase										=  {
					    code: name
					    for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
					    if (code in model_maping_names or code in special_model_types)
					}
					return ", ".join([F'''[{name}](../model_doc/{code})''' for code, name in model_names.items()]     ) + "\n"



def 				lowerCamelCase__		(      __snake_case,					__snake_case=False     )							->		Union[str, Any]:


					"""simple docstring"""





					_UpperCamelCase			,  _UpperCamelCase			,  _UpperCamelCase			,  _UpperCamelCase										=  _find_text_in_file(
					    filename=os.path.join(__snake_case,					__snake_case     ),					start_prompt='''<!--This tip is automatically generated by `make fix-copies`, do not fill manually!-->''',					end_prompt='''<!--End of the generated tip-->''',					)

					_UpperCamelCase										=  get_model_list_for_task(__snake_case     )

					if current_list != new_list:
										if overwrite:
															with open(os.path.join(__snake_case,					__snake_case     ),					'''w''',					encoding='''utf-8''',					newline='''\n'''     ) as f:
																				f.writelines(lines[:start_index] + [new_list] + lines[end_index:]     )
										else:
															raise ValueError(
															    F'''The list of models that can be used in the {task_guide} guide needs an update. Run `make fix-copies`'''
															    ''' to fix this.'''     )


if __name__ == "__main__":
				_a														=		argparse.ArgumentParser()
				parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
				_a														=		parser.parse_args()

				for task_guide in TASK_GUIDE_TO_MODELS.keys():
								check_model_list_for_task(task_guide, args.fix_and_overwrite)








"""simple docstring"""





import importlib
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402


_a														=		get_tests_dir("""fixtures/dummy-config.json""")






class    _UpperCAmelCase(   unittest.TestCase     ):



		def 						UpperCAmelCase							( self)	->	str:






							'''simple docstring'''
							_UpperCamelCase										=  0



		def 						UpperCAmelCase							( self)	->	List[str]:






							'''simple docstring'''
							self.assertIsNotNone(transformers.models.auto.__spec__)
							self.assertIsNotNone(importlib.util.find_spec('''transformers.models.auto'''))



		def 						UpperCAmelCase							( self)	->	str:






							'''simple docstring'''
							_UpperCamelCase										=  AutoConfig.from_pretrained('''bert-base-uncased''')
							self.assertIsInstance(__a    ,		__a)



		def 						UpperCAmelCase							( self)	->	Tuple:






							'''simple docstring'''
							_UpperCamelCase										=  AutoConfig.from_pretrained(__a)
							self.assertIsInstance(__a    ,		__a)



		def 						UpperCAmelCase							( self)	->	Optional[Any]:






							'''simple docstring'''
							_UpperCamelCase										=  AutoConfig.from_pretrained(__a)
							self.assertIsInstance(__a    ,		__a)



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






							'''simple docstring'''
							_UpperCamelCase										=  AutoConfig.for_model('''roberta''')
							self.assertIsInstance(__a    ,		__a)



		def 						UpperCAmelCase							( self)	->	Dict:






							'''simple docstring'''
							with tempfile.TemporaryDirectory() as tmp_dir:
												# This model name contains bert and roberta, but roberta ends up being picked.
												_UpperCamelCase										=  os.path.join(__a    ,		'''fake-roberta''')
												os.makedirs(__a    ,		exist_ok=__a)
												with open(os.path.join(__a    ,		'''config.json''')    ,		'''w''') as f:
																	f.write(json.dumps({}))
												_UpperCamelCase										=  AutoConfig.from_pretrained(__a)
												self.assertEqual(type(__a)    ,		__a)



		def 						UpperCAmelCase							( self)	->	Tuple:






							'''simple docstring'''
							try:
												AutoConfig.register('''custom'''    ,		__a)
												# Wrong model type will raise an error
												with self.assertRaises(__a):
																	AutoConfig.register('''model'''    ,		__a)
												# Trying to register something existing in the Transformers library will raise an error
												with self.assertRaises(__a):
																	AutoConfig.register('''bert'''    ,		__a)

												# Now that the config is registered, it can be used as any other config with the auto-API
												_UpperCamelCase										=  CustomConfig()
												with tempfile.TemporaryDirectory() as tmp_dir:
																	config.save_pretrained(__a)
																	_UpperCamelCase										=  AutoConfig.from_pretrained(__a)
																	self.assertIsInstance(__a    ,		__a)

							finally:
												if "custom" in CONFIG_MAPPING._extra_content:
																	del CONFIG_MAPPING._extra_content["custom"]



		def 						UpperCAmelCase							( self)	->	List[Any]:






							'''simple docstring'''
							with self.assertRaisesRegex(
							    __a    ,		'''bert-base is not a local folder and is not a valid model identifier'''):
												_UpperCamelCase										=  AutoConfig.from_pretrained('''bert-base''')



		def 						UpperCAmelCase							( self)	->	List[Any]:






							'''simple docstring'''
							with self.assertRaisesRegex(
							    __a    ,		R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''):
												_UpperCamelCase										=  AutoConfig.from_pretrained(__a    ,		revision='''aaaaaa''')



		def 						UpperCAmelCase							( self)	->	Optional[Any]:






							'''simple docstring'''
							with self.assertRaisesRegex(
							    __a    ,		'''hf-internal-testing/no-config-test-repo does not appear to have a file named config.json.'''    ,		):
												_UpperCamelCase										=  AutoConfig.from_pretrained('''hf-internal-testing/no-config-test-repo''')



		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							# If remote code is not set, we will time out when asking whether to load the model.
							with self.assertRaises(__a):
												_UpperCamelCase										=  AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model''')
							# If remote code is disabled, we can't load this config.
							with self.assertRaises(__a):
												_UpperCamelCase										=  AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''    ,		trust_remote_code=__a)

							_UpperCamelCase										=  AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''    ,		trust_remote_code=__a)
							self.assertEqual(config.__class__.__name__    ,		'''NewModelConfig''')

							# Test config can be reloaded.
							with tempfile.TemporaryDirectory() as tmp_dir:
												config.save_pretrained(__a)
												_UpperCamelCase										=  AutoConfig.from_pretrained(__a    ,		trust_remote_code=__a)
							self.assertEqual(reloaded_config.__class__.__name__    ,		'''NewModelConfig''')




		def 						UpperCAmelCase							( self)	->	Any:






							'''simple docstring'''






							class    _UpperCAmelCase(   lowerCamelCase     ):
									lowercase__      =				'new-model'

							try:
												AutoConfig.register('''new-model'''    ,		__a)
												# If remote code is not set, the default is to use local
												_UpperCamelCase										=  AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model''')
												self.assertEqual(config.__class__.__name__    ,		'''NewModelConfigLocal''')

												# If remote code is disabled, we load the local one.
												_UpperCamelCase										=  AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''    ,		trust_remote_code=__a)
												self.assertEqual(config.__class__.__name__    ,		'''NewModelConfigLocal''')

												# If remote is enabled, we load from the Hub
												_UpperCamelCase										=  AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''    ,		trust_remote_code=__a)
												self.assertEqual(config.__class__.__name__    ,		'''NewModelConfig''')

							finally:
												if "new-model" in CONFIG_MAPPING._extra_content:
																	del CONFIG_MAPPING._extra_content["new-model"]






