
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


_snake_case      = {
    '''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       _lowerCAmelCase  (		unittest.TestCase							):

 """simple docstring"""

 @classmethod
 def      __lowerCAmelCase  (						cls			:			Optional[Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					TOKEN
      HfFolder.save_token(SCREAMING_SNAKE_CASE__   )

 @classmethod
 def      __lowerCAmelCase  (						cls			:			str   ):






      """simple docstring"""



      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      __lowerCAmelCase  (						self			:			int   ):






      """simple docstring"""



      UpperCamelCase						    =					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   )

      UpperCamelCase						    =					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   )

      UpperCamelCase						    =					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      __lowerCAmelCase  (						self			:			int   ):






      """simple docstring"""



      UpperCamelCase						    =					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   )

      UpperCamelCase						    =					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   )

      UpperCamelCase						    =					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      __lowerCAmelCase  (						self			:			Union[str, Any]   ):






      """simple docstring"""



      CustomConfig.register_for_auto_class()
      UpperCamelCase						    =					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'}   )

      UpperCamelCase						    =					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       _lowerCAmelCase  (		unittest.TestCase							):

 """simple docstring"""

 def      __lowerCAmelCase  (						self			:			Union[str, Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					GPTaConfig()

      # attempt to modify each of int/float/bool/str config records and verify they were updated
      UpperCamelCase						    =					c.n_embd + 1  # int
      UpperCamelCase						    =					c.resid_pdrop + 1.0  # float
      UpperCamelCase						    =					not c.scale_attn_weights  # bool
      UpperCamelCase						    =					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      __lowerCAmelCase  (						self			:			Optional[Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					PretrainedConfig()
      UpperCamelCase						    =					[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']   )
      UpperCamelCase						    =					[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      __lowerCAmelCase  (						self			:			int   ):






      """simple docstring"""



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

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

      self.assertIsNotNone(SCREAMING_SNAKE_CASE__   )

 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



      UpperCamelCase						    =					mock.Mock()
      UpperCamelCase						    =					5_00
      UpperCamelCase						    =					{}
      UpperCamelCase						    =					HTTPError
      UpperCamelCase						    =					{}

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

 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



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

 def      __lowerCAmelCase  (						self			:			List[Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					AutoConfig.from_pretrained('bert-base-cased'   )
      UpperCamelCase						    =					['config.4.0.0.json']

      with tempfile.TemporaryDirectory() as tmp_dir:
           configuration.save_pretrained(SCREAMING_SNAKE_CASE__   )
           UpperCamelCase						    =					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
           UpperCamelCase						    =					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
           UpperCamelCase						    =					['config.42.0.0.json']
           UpperCamelCase						    =					7_68
           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'   )   )
           UpperCamelCase						    =					AutoConfig.from_pretrained(SCREAMING_SNAKE_CASE__   )
           self.assertEqual(new_configuration.hidden_size					, 7_68   )






 def      __lowerCAmelCase  (						self			:			List[Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					'hf-internal-testing/test-two-configs'

      import transformers as new_transformers

      UpperCamelCase						    =					'v4.0.0'
      UpperCamelCase    ,		UpperCamelCase						    =					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

      UpperCamelCase						    =					'v3.0.0'
      UpperCamelCase						    =					old_transformers.models.auto.AutoConfig.from_pretrained(SCREAMING_SNAKE_CASE__   )
      self.assertEqual(old_configuration.hidden_size					, 7_68   )




import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format
class       _lowerCAmelCase  :

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					Optional[Any]       						=None

 def      __lowerCAmelCase  (						self			:			Union[str, Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class(**self.feat_extract_dict   )
      UpperCamelCase						    =					json.loads(feat_extract.to_json_string()   )
      for key, value in self.feat_extract_dict.items():
           self.assertEqual(obj[key]					, SCREAMING_SNAKE_CASE__   )

 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class(**self.feat_extract_dict   )

      with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase						    =					os.path.join(SCREAMING_SNAKE_CASE__					, 'feat_extract.json'   )
           feat_extract_first.to_json_file(SCREAMING_SNAKE_CASE__   )
           UpperCamelCase						    =					self.feature_extraction_class.from_json_file(SCREAMING_SNAKE_CASE__   )

      self.assertEqual(feat_extract_second.to_dict()					, feat_extract_first.to_dict()   )

 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class(**self.feat_extract_dict   )

      with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase						    =					feat_extract_first.save_pretrained(SCREAMING_SNAKE_CASE__   )[0]
           check_json_file_has_correct_format(SCREAMING_SNAKE_CASE__   )
           UpperCamelCase						    =					self.feature_extraction_class.from_pretrained(SCREAMING_SNAKE_CASE__   )

      self.assertEqual(feat_extract_second.to_dict()					, feat_extract_first.to_dict()   )






 def      __lowerCAmelCase  (						self			:			Union[str, Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class()
      self.assertIsNotNone(SCREAMING_SNAKE_CASE__   )


