
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


UpperCAmelCase       =					{
    '''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 			A_  (     unittest.TestCase  ):




	'''simple docstring'''


	@classmethod
	def       SCREAMING_SNAKE_CASE__		(			cls			):
		lowercase	    =       TOKEN
		HfFolder.save_token(SCREAMING_SNAKE_CASE__			)





	@classmethod
	def       SCREAMING_SNAKE_CASE__		(			cls			):



		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       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       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			)

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

        # 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(SCREAMING_SNAKE_CASE__						,       repo_id='test-config'						,       push_to_hub=SCREAMING_SNAKE_CASE__						,       use_auth_token=self._token			)

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





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       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			)

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

        # 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(
			    SCREAMING_SNAKE_CASE__						,       repo_id='valid_org/test-config-org'						,       push_to_hub=SCREAMING_SNAKE_CASE__						,       use_auth_token=self._token			)

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





	def       SCREAMING_SNAKE_CASE__		(			self			):
		CustomConfig.register_for_auto_class()
		lowercase	    =       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'}			)

		lowercase	    =       AutoConfig.from_pretrained(F'''{USER}/test-dynamic-config'''						,       trust_remote_code=SCREAMING_SNAKE_CASE__			)
		# 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 			A_  (     unittest.TestCase  ):




	'''simple docstring'''


	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       GPTaConfig()

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





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       PretrainedConfig()
		lowercase	    =       [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(
		    SCREAMING_SNAKE_CASE__						,       ['is_encoder_decoder', '_name_or_path', '_commit_hash', 'transformers_version']			)
		lowercase	    =       [key for key, value in config_common_kwargs.items() if value == getattr(SCREAMING_SNAKE_CASE__						,       SCREAMING_SNAKE_CASE__			)]
		if len(SCREAMING_SNAKE_CASE__			) > 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(SCREAMING_SNAKE_CASE__			)}.'''			)





	def       SCREAMING_SNAKE_CASE__		(			self			):



		with self.assertRaises(SCREAMING_SNAKE_CASE__			):
			# config is in subfolder, the following should not work without specifying the subfolder
			lowercase	    =       BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert-subfolder'			)

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

		self.assertIsNotNone(SCREAMING_SNAKE_CASE__			)





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       mock.Mock()
		lowercase	    =       500
		lowercase	    =       {}
		lowercase	    =       HTTPError
		lowercase	    =       {}

		# Download this model to make sure it's in the cache.
		lowercase	    =       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=SCREAMING_SNAKE_CASE__			) as mock_head:
			lowercase	    =       BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert'			)
			# This check we did call the fake head request
			mock_head.assert_called()





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       BertConfig.from_pretrained(
		    'https://huggingface.co/hf-internal-testing/tiny-random-bert/resolve/main/config.json'			)





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       AutoConfig.from_pretrained('bert-base-cased'			)
		lowercase	    =       ['config.4.0.0.json']

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

			# This should pick the new configuration file as the version of Transformers is > 4.0.0
			lowercase	    =       AutoConfig.from_pretrained(SCREAMING_SNAKE_CASE__			)
			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
			lowercase	    =       ['config.42.0.0.json']
			lowercase	    =       768
			configuration.save_pretrained(SCREAMING_SNAKE_CASE__			)
			shutil.move(os.path.join(SCREAMING_SNAKE_CASE__						,       'config.4.0.0.json'			)						,       os.path.join(SCREAMING_SNAKE_CASE__						,       'config.42.0.0.json'			)			)
			lowercase	    =       AutoConfig.from_pretrained(SCREAMING_SNAKE_CASE__			)
			self.assertEqual(new_configuration.hidden_size						,       768			)





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       'hf-internal-testing/test-two-configs'

		import transformers as new_transformers

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

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

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



def  __lowerCamelCase					( _lowercase			)       ->      str:
     return "".join(chr(ord(_lowercase			) - 32			) if 'a' <= char <= 'z' else char for char in word			)


if __name__ == "__main__":
 from doctest import testmod

 testmod()


