'''simple docstring'''

def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






						_lowerCAmelCase										=hex_num.strip()
						if not hex_num:
												raise ValueError('No value was passed to the function'      )

						_lowerCAmelCase										=hex_num[0] == '-'
						if is_negative:
												_lowerCAmelCase										=hex_num[1:]

						try:
												_lowerCAmelCase										=int(__A			,      1_6      )
						except ValueError:
												raise ValueError('Invalid value was passed to the function'      )

						_lowerCAmelCase										=''
						while int_num > 0:
												_lowerCAmelCase										=str(int_num % 2      ) + bin_str
												int_num >>= 1

						return int(('-' + bin_str) if is_negative else bin_str      )


if __name__ == "__main__":
							import doctest

							doctest.testmod()






'''simple docstring'''

import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test


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

from test_module.custom_configuration import CustomConfig  # noqa E402


lowercase_     		= {
    '''return_dict''': False,
    '''output_hidden_states''': True,
    '''output_attentions''': True,
    '''torchscript''': True,
    '''torch_dtype''': '''float16''',
    '''use_bfloat16''': True,
    '''tf_legacy_loss''': True,
    '''pruned_heads''': {'''a''': 1},
    '''tie_word_embeddings''': False,
    '''is_decoder''': True,
    '''cross_attention_hidden_size''': 128,
    '''add_cross_attention''': True,
    '''tie_encoder_decoder''': True,
    '''max_length''': 50,
    '''min_length''': 3,
    '''do_sample''': True,
    '''early_stopping''': True,
    '''num_beams''': 3,
    '''num_beam_groups''': 3,
    '''diversity_penalty''': 0.5,
    '''temperature''': 2.0,
    '''top_k''': 10,
    '''top_p''': 0.7,
    '''typical_p''': 0.2,
    '''repetition_penalty''': 0.8,
    '''length_penalty''': 0.8,
    '''no_repeat_ngram_size''': 5,
    '''encoder_no_repeat_ngram_size''': 5,
    '''bad_words_ids''': [1, 2, 3],
    '''num_return_sequences''': 3,
    '''chunk_size_feed_forward''': 5,
    '''output_scores''': True,
    '''return_dict_in_generate''': True,
    '''forced_bos_token_id''': 2,
    '''forced_eos_token_id''': 3,
    '''remove_invalid_values''': True,
    '''architectures''': ['''BertModel'''],
    '''finetuning_task''': '''translation''',
    '''id2label''': {0: '''label'''},
    '''label2id''': {'''label''': '''0'''},
    '''tokenizer_class''': '''BertTokenizerFast''',
    '''prefix''': '''prefix''',
    '''bos_token_id''': 6,
    '''pad_token_id''': 7,
    '''eos_token_id''': 8,
    '''sep_token_id''': 9,
    '''decoder_start_token_id''': 10,
    '''exponential_decay_length_penalty''': (5, 1.01),
    '''suppress_tokens''': [0, 1],
    '''begin_suppress_tokens''': 2,
    '''task_specific_params''': {'''translation''': '''some_params'''},
    '''problem_type''': '''regression''',
}
@is_staging_test
class   SCREAMING_SNAKE_CASE			(						unittest.TestCase):







		"""simple docstring"""






		@classmethod
		def 		UpperCamelCase__       (   cls				) ->     Optional[Any]:
								_lowerCAmelCase										=TOKEN
								HfFolder.save_token(__A				)






		@classmethod
		def 		UpperCamelCase__       (   cls				) ->     List[str]:
								try:
														delete_repo(token=cls._token		,						repo_id='test-config'				)
								except HTTPError:
														pass

								try:
														delete_repo(token=cls._token		,						repo_id='valid_org/test-config-org'				)
								except HTTPError:
														pass

								try:
														delete_repo(token=cls._token		,						repo_id='test-dynamic-config'				)
								except HTTPError:
														pass






		def 		UpperCamelCase__       (   self				) ->     str:
								_lowerCAmelCase										=BertConfig(
								    vocab_size=99		,						hidden_size=32		,						num_hidden_layers=5		,						num_attention_heads=4		,						intermediate_size=37				)
								config.push_to_hub('test-config'		,						use_auth_token=self._token				)

								_lowerCAmelCase										=BertConfig.from_pretrained(F'''{USER}/test-config'''				)
								for k, v in config.to_dict().items():
														if k != "transformers_version":
																				self.assertEqual(__A		,						getattr(__A		,						__A				)				)

        # Reset repo
								delete_repo(token=self._token		,						repo_id='test-config'				)

								# Push to hub via save_pretrained
								with tempfile.TemporaryDirectory() as tmp_dir:
														config.save_pretrained(__A		,						repo_id='test-config'		,						push_to_hub=__A		,						use_auth_token=self._token				)

								_lowerCAmelCase										=BertConfig.from_pretrained(F'''{USER}/test-config'''				)
								for k, v in config.to_dict().items():
														if k != "transformers_version":
																				self.assertEqual(__A		,						getattr(__A		,						__A				)				)






		def 		UpperCamelCase__       (   self				) ->     Dict:
								_lowerCAmelCase										=BertConfig(
								    vocab_size=99		,						hidden_size=32		,						num_hidden_layers=5		,						num_attention_heads=4		,						intermediate_size=37				)
								config.push_to_hub('valid_org/test-config-org'		,						use_auth_token=self._token				)

								_lowerCAmelCase										=BertConfig.from_pretrained('valid_org/test-config-org'				)
								for k, v in config.to_dict().items():
														if k != "transformers_version":
																				self.assertEqual(__A		,						getattr(__A		,						__A				)				)

        # Reset repo
								delete_repo(token=self._token		,						repo_id='valid_org/test-config-org'				)

								# Push to hub via save_pretrained
								with tempfile.TemporaryDirectory() as tmp_dir:
														config.save_pretrained(
														    __A		,						repo_id='valid_org/test-config-org'		,						push_to_hub=__A		,						use_auth_token=self._token				)

								_lowerCAmelCase										=BertConfig.from_pretrained('valid_org/test-config-org'				)
								for k, v in config.to_dict().items():
														if k != "transformers_version":
																				self.assertEqual(__A		,						getattr(__A		,						__A				)				)






		def 		UpperCamelCase__       (   self				) ->     List[str]:
								CustomConfig.register_for_auto_class()
								_lowerCAmelCase										=CustomConfig(attribute=42				)

								config.push_to_hub('test-dynamic-config'		,						use_auth_token=self._token				)

								# This has added the proper auto_map field to the config
								self.assertDictEqual(config.auto_map		,						{'AutoConfig': 'custom_configuration.CustomConfig'}				)

								_lowerCAmelCase										=AutoConfig.from_pretrained(F'''{USER}/test-dynamic-config'''		,						trust_remote_code=__A				)
								# Can't make an isinstance check because the new_config is from the FakeConfig class of a dynamic module
								self.assertEqual(new_config.__class__.__name__		,						'CustomConfig'				)
								self.assertEqual(new_config.attribute		,						42				)

class   SCREAMING_SNAKE_CASE			(						unittest.TestCase):







		"""simple docstring"""






		def 		UpperCamelCase__       (   self				) ->     List[Any]:
								_lowerCAmelCase										=GPTaConfig()

								# attempt to modify each of int/float/bool/str config records and verify they were updated
								_lowerCAmelCase										=c.n_embd + 1  # int
								_lowerCAmelCase										=c.resid_pdrop + 1.0  # float
								_lowerCAmelCase										=not c.scale_attn_weights  # bool
								_lowerCAmelCase										=c.summary_type + 'foo'  # str
								c.update_from_string(
								    F'''n_embd={n_embd},resid_pdrop={resid_pdrop},scale_attn_weights={scale_attn_weights},summary_type={summary_type}'''				)
								self.assertEqual(__A		,						c.n_embd		,						'mismatch for key: n_embd'				)
								self.assertEqual(__A		,						c.resid_pdrop		,						'mismatch for key: resid_pdrop'				)
								self.assertEqual(__A		,						c.scale_attn_weights		,						'mismatch for key: scale_attn_weights'				)
								self.assertEqual(__A		,						c.summary_type		,						'mismatch for key: summary_type'				)






		def 		UpperCamelCase__       (   self				) ->     List[str]:
								_lowerCAmelCase										=PretrainedConfig()
								_lowerCAmelCase										=[key for key in base_config.__dict__ if key not in config_common_kwargs]
								# If this part of the test fails, you have arguments to addin config_common_kwargs above.
								self.assertListEqual(
								    __A		,						['is_encoder_decoder', '_name_or_path', '_commit_hash', 'transformers_version']				)
								_lowerCAmelCase										=[key for key, value in config_common_kwargs.items() if value == getattr(__A		,						__A				)]
								if len(__A				) > 0:
														raise ValueError(
														    'The following keys are set with the default values in'
														    ' `test_configuration_common.config_common_kwargs` pick another value for them:'
														    F''' {', '.join(__A				)}.'''				)






		def 		UpperCamelCase__       (   self				) ->     Optional[int]:
								with self.assertRaises(__A				):
														# config is in subfolder, the following should not work without specifying the subfolder
														_lowerCAmelCase										=BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert-subfolder'				)

								_lowerCAmelCase										=BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert-subfolder'		,						subfolder='bert'				)

								self.assertIsNotNone(__A				)






		def 		UpperCamelCase__       (   self				) ->     List[str]:
								# A mock response for an HTTP head request to emulate server down
								_lowerCAmelCase										=mock.Mock()
								_lowerCAmelCase										=500
								_lowerCAmelCase										={}
								_lowerCAmelCase										=HTTPError
								_lowerCAmelCase										={}

								# Download this model to make sure it's in the cache.
								_lowerCAmelCase										=BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert'				)

								# Under the mock environment we get a 500 error when trying to reach the model.
								with mock.patch('requests.Session.request'		,						return_value=__A				) as mock_head:
														_lowerCAmelCase										=BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert'				)
														# This check we did call the fake head request
														mock_head.assert_called()






		def 		UpperCamelCase__       (   self				) ->     Optional[int]:
								# This test is for deprecated behavior and can be removed in v5
								_lowerCAmelCase										=BertConfig.from_pretrained(
								    'https://huggingface.co/hf-internal-testing/tiny-random-bert/resolve/main/config.json'				)






		def 		UpperCamelCase__       (   self				) ->     Any:
								_lowerCAmelCase										=AutoConfig.from_pretrained('bert-base-cased'				)
								_lowerCAmelCase										=['config.4.0.0.json']

								with tempfile.TemporaryDirectory() as tmp_dir:
														configuration.save_pretrained(__A				)
														_lowerCAmelCase										=2
														json.dump(configuration.to_dict()		,						open(os.path.join(__A		,						'config.4.0.0.json'				)		,						'w'				)				)

														# This should pick the new configuration file as the version of Transformers is > 4.0.0
														_lowerCAmelCase										=AutoConfig.from_pretrained(__A				)
														self.assertEqual(new_configuration.hidden_size		,						2				)

														# Will need to be adjusted if we reach v42 and this test is still here.
														# Should pick the old configuration file as the version of Transformers is < 4.42.0
														_lowerCAmelCase										=['config.42.0.0.json']
														_lowerCAmelCase										=768
														configuration.save_pretrained(__A				)
														shutil.move(os.path.join(__A		,						'config.4.0.0.json'				)		,						os.path.join(__A		,						'config.42.0.0.json'				)				)
														_lowerCAmelCase										=AutoConfig.from_pretrained(__A				)
														self.assertEqual(new_configuration.hidden_size		,						768				)






		def 		UpperCamelCase__       (   self				) ->     Any:
								# This repo has two configuration files, one for v4.0.0 and above with a different hidden size.
								_lowerCAmelCase										='hf-internal-testing/test-two-configs'

								import transformers as new_transformers

								_lowerCAmelCase										='v4.0.0'
								_lowerCAmelCase						,				_lowerCAmelCase										=new_transformers.models.auto.AutoConfig.from_pretrained(
								    __A		,						return_unused_kwargs=__A				)
								self.assertEqual(new_configuration.hidden_size		,						2				)
								# This checks `_configuration_file` ia not kept in the kwargs by mistake.
								self.assertDictEqual(__A		,						{}				)

								# Testing an older version by monkey-patching the version in the module it's used.
								import transformers as old_transformers

								_lowerCAmelCase										='v3.0.0'
								_lowerCAmelCase										=old_transformers.models.auto.AutoConfig.from_pretrained(__A				)
								self.assertEqual(old_configuration.hidden_size		,						768				)





