



'''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


lowercase_      :				List[Any]   					=    get_tests_dir('''fixtures/dummy-config.json''')




class      __UpperCamelCase       (unittest.TestCase			):







	def   _a   (    self						)    ->    int:
							'''simple docstring'''






							lowercase        =							0







	def   _a   (    self						)    ->    List[Any]:
							'''simple docstring'''






							self.assertIsNotNone(transformers.models.auto.__spec__						)
							self.assertIsNotNone(importlib.util.find_spec("""transformers.models.auto"""						)						)







	def   _a   (    self						)    ->    Optional[int]:
							'''simple docstring'''






							lowercase        =							AutoConfig.from_pretrained("""bert-base-uncased"""						)
							self.assertIsInstance(_lowerCAmelCase ,				_lowerCAmelCase						)







	def   _a   (    self						)    ->    Optional[Any]:
							'''simple docstring'''






							lowercase        =							AutoConfig.from_pretrained(_lowerCAmelCase						)
							self.assertIsInstance(_lowerCAmelCase ,				_lowerCAmelCase						)







	def   _a   (    self						)    ->    List[str]:
							'''simple docstring'''






							lowercase        =							AutoConfig.from_pretrained(_lowerCAmelCase						)
							self.assertIsInstance(_lowerCAmelCase ,				_lowerCAmelCase						)







	def   _a   (    self						)    ->    List[Any]:
							'''simple docstring'''






							lowercase        =							AutoConfig.for_model("""roberta"""						)
							self.assertIsInstance(_lowerCAmelCase ,				_lowerCAmelCase						)







	def   _a   (    self						)    ->    List[Any]:
							'''simple docstring'''






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







	def   _a   (    self						)    ->    Union[str, Any]:
							'''simple docstring'''






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

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

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







	def   _a   (    self						)    ->    List[str]:
							'''simple docstring'''






							with self.assertRaisesRegex(
							    _lowerCAmelCase ,				"""bert-base is not a local folder and is not a valid model identifier"""						):
													lowercase        =							AutoConfig.from_pretrained("""bert-base"""						)







	def   _a   (    self						)    ->    Optional[Any]:
							'''simple docstring'''






							with self.assertRaisesRegex(
							    _lowerCAmelCase ,				r"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""						):
													lowercase        =							AutoConfig.from_pretrained(_lowerCAmelCase ,				revision="""aaaaaa"""						)







	def   _a   (    self						)    ->    Optional[Any]:
							'''simple docstring'''






							with self.assertRaisesRegex(
							    _lowerCAmelCase ,				"""hf-internal-testing/no-config-test-repo does not appear to have a file named config.json.""" ,				):
													lowercase        =							AutoConfig.from_pretrained("""hf-internal-testing/no-config-test-repo"""						)







	def   _a   (    self						)    ->    Optional[Any]:
							'''simple docstring'''






							with self.assertRaises(_lowerCAmelCase						):
													lowercase        =							AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""						)
							# If remote code is disabled, we can't load this config.
							with self.assertRaises(_lowerCAmelCase						):
													lowercase        =							AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model""" ,				trust_remote_code=_lowerCAmelCase						)

							lowercase        =							AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model""" ,				trust_remote_code=_lowerCAmelCase						)
							self.assertEqual(config.__class__.__name__ ,				"""NewModelConfig"""						)

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







	def   _a   (    self						)    ->    Optional[Any]:
							'''simple docstring'''






							class      __UpperCamelCase       (_UpperCAmelCase			):
								__A			  =					'''new-model'''

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

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

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







'''simple docstring'''


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def      SCREAMING_SNAKE_CASE				(				):
						lowercase        =							HfArgumentParser(lowercase_						)
						lowercase        =							parser.parse_args_into_dataclasses()[0]
						lowercase        =							TensorFlowBenchmark(args=lowercase_						)
						try:
												lowercase        =							parser.parse_args_into_dataclasses()[0]
						except ValueError as e:
												lowercase        =							"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
												lowercase        =							""" """.join(str(lowercase_						).split(""" """						)[:-1]						)
												lowercase        =							""""""
												lowercase        =							eval(str(lowercase_						).split(""" """						)[-1]						)
												lowercase        =							[]
												for arg in depreciated_args:
																		# arg[2:] removes '--'
																		if arg[2:] in TensorFlowBenchmark.deprecated_args:
																								# arg[5:] removes '--no_'
																								full_error_msg += arg_error_msg.format(arg[5:]						)
																		else:
																								wrong_args.append(lowercase_						)
												if len(lowercase_						) > 0:
																		lowercase        =							full_error_msg + begin_error_msg + str(lowercase_						)
												raise ValueError(lowercase_						)
						benchmark.run()


if __name__ == "__main__":
						main()


