
"""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


UpperCamelCase     :    Union[str, Any]       =			{
    '''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''': 1_2_8,
    '''add_cross_attention''': True,
    '''tie_encoder_decoder''': True,
    '''max_length''': 5_0,
    '''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''': 1_0,
    '''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''': 1_0,
    '''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      ):





     @classmethod
     def 						UpperCAmelCase (     cls				):

      '''simple docstring'''




      __UpperCamelCase      =	TOKEN
      HfFolder.save_token(__UpperCAmelCase				)





     @classmethod
     def 						UpperCAmelCase (     cls				):

      '''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 						UpperCAmelCase (     self				):

      '''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(__UpperCAmelCase     ,					getattr(__UpperCAmelCase     ,					__UpperCAmelCase				)				)

        # 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(__UpperCAmelCase     ,					repo_id='test-config'     ,					push_to_hub=__UpperCAmelCase     ,					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(__UpperCAmelCase     ,					getattr(__UpperCAmelCase     ,					__UpperCAmelCase				)				)





     def 						UpperCAmelCase (     self				):

      '''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(__UpperCAmelCase     ,					getattr(__UpperCAmelCase     ,					__UpperCAmelCase				)				)

        # 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(
           __UpperCAmelCase     ,					repo_id='valid_org/test-config-org'     ,					push_to_hub=__UpperCAmelCase     ,					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(__UpperCAmelCase     ,					getattr(__UpperCAmelCase     ,					__UpperCAmelCase				)				)







     def 						UpperCAmelCase (     self				):

      '''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=__UpperCAmelCase				)
      # 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      ):





     def 						UpperCAmelCase (     self				):

      '''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(__UpperCAmelCase     ,					c.n_embd     ,					'mismatch for key: n_embd'				)
      self.assertEqual(__UpperCAmelCase     ,					c.resid_pdrop     ,					'mismatch for key: resid_pdrop'				)
      self.assertEqual(__UpperCAmelCase     ,					c.scale_attn_weights     ,					'mismatch for key: scale_attn_weights'				)
      self.assertEqual(__UpperCAmelCase     ,					c.summary_type     ,					'mismatch for key: summary_type'				)





     def 						UpperCAmelCase (     self				):

      '''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(
          __UpperCAmelCase     ,					['is_encoder_decoder', '_name_or_path', '_commit_hash', 'transformers_version']				)
      __UpperCamelCase      =	[key for key, value in config_common_kwargs.items() if value == getattr(__UpperCAmelCase     ,					__UpperCAmelCase				)]
      if len(__UpperCAmelCase				) > 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(__UpperCAmelCase				)}.'				)





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      with self.assertRaises(__UpperCAmelCase				):
       # 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(__UpperCAmelCase				)





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	mock.Mock()
      __UpperCamelCase      =	500
      __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=__UpperCAmelCase				) 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 						UpperCAmelCase (     self				):

      '''simple docstring'''




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





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




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

      with tempfile.TemporaryDirectory() as tmp_dir:
       configuration.save_pretrained(__UpperCAmelCase				)
       __UpperCamelCase      =	2
       json.dump(configuration.to_dict()     ,					open(os.path.join(__UpperCAmelCase     ,					'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(__UpperCAmelCase				)
       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      =	768
       configuration.save_pretrained(__UpperCAmelCase				)
       shutil.move(os.path.join(__UpperCAmelCase     ,					'config.4.0.0.json'				)     ,					os.path.join(__UpperCAmelCase     ,					'config.42.0.0.json'				)				)
       __UpperCamelCase      =	AutoConfig.from_pretrained(__UpperCAmelCase				)
       self.assertEqual(new_configuration.hidden_size     ,					768				)







     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	"hf-internal-testing/test-two-configs"

      import transformers as new_transformers

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

      # 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(__UpperCAmelCase				)
      self.assertEqual(old_configuration.hidden_size     ,					768				)





"""simple docstring"""

import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


UpperCamelCase     :    Optional[int]       =			logging.get_logger(__name__)

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):





     def __init__(     self     ,					*__UpperCAmelCase     ,					**__UpperCAmelCase				):

      '''simple docstring'''




      warnings.warn(
          'The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
          ' use DonutImageProcessor instead.'     ,					__UpperCAmelCase     ,					)
      super().__init__(*__UpperCAmelCase     ,					**__UpperCAmelCase				)



