



'''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_	 =						get_tests_dir("fixtures/dummy-config.json")






class __A    (						unittest.TestCase		):



 '''simple docstring'''







 def       a__						(self )					->  List[Any]:


      """simple docstring"""



      _a											=						0



 def       a__						(self )					->  Dict:


      """simple docstring"""



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



 def       a__						(self )					->  Optional[Any]:


      """simple docstring"""



      _a											=						AutoConfig.from_pretrained('''bert-base-uncased''' )
      self.assertIsInstance(lowerCAmelCase__				,     lowerCAmelCase__ )



 def       a__						(self )					->  int:


      """simple docstring"""



      _a											=						AutoConfig.from_pretrained(lowerCAmelCase__ )
      self.assertIsInstance(lowerCAmelCase__				,     lowerCAmelCase__ )



 def       a__						(self )					->  Any:


      """simple docstring"""



      _a											=						AutoConfig.from_pretrained(lowerCAmelCase__ )
      self.assertIsInstance(lowerCAmelCase__				,     lowerCAmelCase__ )



 def       a__						(self )					->  Dict:


      """simple docstring"""



      _a											=						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.
           _a											=						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({} ) )
           _a											=						AutoConfig.from_pretrained(lowerCAmelCase__ )
           self.assertEqual(type(lowerCAmelCase__ )				,     lowerCAmelCase__ )



 def       a__						(self )					->  List[str]:


      """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
           _a											=						CustomConfig()
           with tempfile.TemporaryDirectory() as tmp_dir:
                config.save_pretrained(lowerCAmelCase__ )
                _a											=						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 )					->  Optional[int]:


      """simple docstring"""



      with self.assertRaisesRegex(
          lowerCAmelCase__				,     '''bert-base is not a local folder and is not a valid model identifier''' ):
           _a											=						AutoConfig.from_pretrained('''bert-base''' )



 def       a__						(self )					->  int:


      """simple docstring"""



      with self.assertRaisesRegex(
          lowerCAmelCase__				,     R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)''' ):
           _a											=						AutoConfig.from_pretrained(lowerCAmelCase__				,     revision='''aaaaaa''' )



 def       a__						(self )					->  Optional[int]:


      """simple docstring"""



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



 def       a__						(self )					->  Any:


      """simple docstring"""



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

      _a											=						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__ )
           _a											=						AutoConfig.from_pretrained(lowerCAmelCase__				,     trust_remote_code=lowerCAmelCase__ )
      self.assertEqual(reloaded_config.__class__.__name__				,     '''NewModelConfig''' )



 def       a__						(self )					->  Tuple:


      """simple docstring"""



      class __A    (						_snake_case		):



       '''simple docstring'''







       __lowerCamelCase					: Union[str, Any]    = 'new-model'

      try:
           AutoConfig.register('''new-model'''				,     lowerCAmelCase__ )
           # If remote code is not set, the default is to use local
           _a											=						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.
           _a											=						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
           _a											=						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'''





import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("9.1.0"):
  lowercase_	 =						{
      "linear": PIL.Image.Resampling.BILINEAR,
      "bilinear": PIL.Image.Resampling.BILINEAR,
      "bicubic": PIL.Image.Resampling.BICUBIC,
      "lanczos": PIL.Image.Resampling.LANCZOS,
      "nearest": PIL.Image.Resampling.NEAREST,
  }
else:
  lowercase_	 =						{
      "linear": PIL.Image.LINEAR,
      "bilinear": PIL.Image.BILINEAR,
      "bicubic": PIL.Image.BICUBIC,
      "lanczos": PIL.Image.LANCZOS,
      "nearest": PIL.Image.NEAREST,
  }




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						(images / 2 + 0.5).clamp(0						,			1)
     _a											=						images.cpu().permute(0						,			2						,			3						,			1).float().numpy()
     _a											=						numpy_to_pil(__A)
     return images




def lowerCAmelCase						(__A):



     """simple docstring"""



     if images.ndim == 3:
          _a											=						images[None, ...]
     _a											=						(images * 255).round().astype('''uint8''')
     if images.shape[-1] == 1:
          # special case for grayscale (single channel) images
          _a											=						[Image.fromarray(image.squeeze()						,			mode='''L''') for image in images]
     else:
          _a											=						[Image.fromarray(__A) for image in images]

     return pil_images



