"""simple docstring"""


import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(".")







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							test_file.split(os.path.sep      )
     if components[0:2] != ["tests", "models"]:
          raise ValueError(
              "`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got "
              f'''{test_file} instead.'''      )
     lowercase__				 =							components[-1]
     if not test_fn.endswith("py"      ):
          raise ValueError(f'''`test_file` should be a python file. Got {test_fn} instead.'''      )
     if not test_fn.startswith("test_modeling_"      ):
          raise ValueError(
              f'''`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead.'''      )

     lowercase__				 =							components[:-1] + [test_fn.replace(".py"    ,				""      )]
     lowercase__				 =							".".join(A      )

     return test_module_path







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							get_module_path(A      )
     lowercase__				 =							importlib.import_module(A      )

     return test_module







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							[]
     lowercase__				 =							get_test_module(A      )
     for attr in dir(A      ):
          if attr.endswith("ModelTester"      ):
               tester_classes.append(getattr(A    ,				A      )      )

    # sort with class names
     return sorted(A    ,				key=lambda A      : x.__name__      )







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							[]
     lowercase__				 =							get_test_module(A      )
     for attr in dir(A      ):
          lowercase__				 =							getattr(A    ,				A      )
          # (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
          # `all_model_classes` is not empty (which also excludes other special classes).
          lowercase__				 =							getattr(A    ,				"all_model_classes"    ,				[]      )
          if len(A      ) > 0:
               test_classes.append(A      )

    # sort with class names
     return sorted(A    ,				key=lambda A      : x.__name__      )







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							get_test_classes(A      )
     lowercase__				 =							set()
     for test_class in test_classes:
          model_classes.update(test_class.all_model_classes      )

     # sort with class names
     return sorted(A    ,				key=lambda A      : x.__name__      )







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							test_class()
     if hasattr(A    ,				"setUp"      ):
          test.setUp()

     lowercase__				 =							None
     if hasattr(A    ,				"model_tester"      ):
          # `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
          if test.model_tester is not None:
               lowercase__				 =							test.model_tester.__class__

     return model_tester







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     lowercase__				 =							get_test_classes(A      )

     lowercase__				 =							[]
     for test_class in test_classes:
          if model_class in test_class.all_model_classes:
               target_test_classes.append(A      )

    # sort with class names
     return sorted(A    ,				key=lambda A      : x.__name__      )







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     lowercase__				 =							get_test_classes_for_model(A    ,				A      )

     lowercase__				 =							[]
     for test_class in test_classes:
          lowercase__				 =							get_model_tester_from_test_class(A      )
          if tester_class is not None:
               tester_classes.append(A      )

    # sort with class names
     return sorted(A    ,				key=lambda A      : x.__name__      )







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							get_test_classes(A      )
     lowercase__				 =							{test_class: get_model_tester_from_test_class(A      ) for test_class in test_classes}
     return test_tester_mapping







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							get_model_classes(A      )
     lowercase__				 =							{
         model_class: get_test_classes_for_model(A    ,				A      ) for model_class in model_classes
     }
     return model_test_mapping







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							get_model_classes(A      )
     lowercase__				 =							{
         model_class: get_tester_classes_for_model(A    ,				A      ) for model_class in model_classes
     }
     return model_to_tester_mapping







def 					__a   (		A      ):






     '''simple docstring'''



     if isinstance(A    ,				A      ):
          return o
     elif isinstance(A    ,				A      ):
          return o.__name__
     elif isinstance(A    ,				(list, tuple)      ):
          return [to_json(A      ) for x in o]
     elif isinstance(A    ,				A      ):
          return {to_json(A      ): to_json(A      ) for k, v in o.items()}
     else:
          return o





"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase_:					List[Any]     =					logging.get_logger(__name__)

lowerCAmelCase_:					int     =					{
    "microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
    "microsoft/markuplm-large": "https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json",
}






class    a__    (   _a	):
   snake_case_							=      "markuplm"


   def __init__(     self,				_UpperCAmelCase=3_0522,				_UpperCAmelCase=768,				_UpperCAmelCase=12,				_UpperCAmelCase=12,				_UpperCAmelCase=3072,				_UpperCAmelCase="gelu",				_UpperCAmelCase=0.1,				_UpperCAmelCase=0.1,				_UpperCAmelCase=512,				_UpperCAmelCase=2,				_UpperCAmelCase=0.02,				_UpperCAmelCase=1E-12,				_UpperCAmelCase=0,				_UpperCAmelCase=0,				_UpperCAmelCase=2,				_UpperCAmelCase=256,				_UpperCAmelCase=1024,				_UpperCAmelCase=216,				_UpperCAmelCase=1001,				_UpperCAmelCase=32,				_UpperCAmelCase=50,				_UpperCAmelCase="absolute",				_UpperCAmelCase=True,				_UpperCAmelCase=None,				**_UpperCAmelCase,				):
        '''simple docstring'''



        super().__init__(
            pad_token_id=_UpperCAmelCase,				bos_token_id=_UpperCAmelCase,				eos_token_id=_UpperCAmelCase,				**_UpperCAmelCase,				)
        lowercase__				 =							vocab_size
        lowercase__				 =							hidden_size
        lowercase__				 =							num_hidden_layers
        lowercase__				 =							num_attention_heads
        lowercase__				 =							hidden_act
        lowercase__				 =							intermediate_size
        lowercase__				 =							hidden_dropout_prob
        lowercase__				 =							attention_probs_dropout_prob
        lowercase__				 =							max_position_embeddings
        lowercase__				 =							type_vocab_size
        lowercase__				 =							initializer_range
        lowercase__				 =							layer_norm_eps
        lowercase__				 =							position_embedding_type
        lowercase__				 =							use_cache
        lowercase__				 =							classifier_dropout
        # additional properties
        lowercase__				 =							max_depth
        lowercase__				 =							max_xpath_tag_unit_embeddings
        lowercase__				 =							max_xpath_subs_unit_embeddings
        lowercase__				 =							tag_pad_id
        lowercase__				 =							subs_pad_id
        lowercase__				 =							xpath_unit_hidden_size




