


'''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			(		_lowercase      :			Union[str, Any]						):





     '''simple docstring'''






     __UpperCAmelCase			:				str													=    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.'						)
     __UpperCAmelCase			:				Any													=    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.'						)

     __UpperCAmelCase			:				Optional[Any]													=    components[:-1] + [test_fn.replace('''.py'''    ,      ''''''						)]
     __UpperCAmelCase			:				int													=    '''.'''.join(_lowercase						)

     return test_module_path




def 			_a			(		_lowercase      :			Dict						):





     '''simple docstring'''






     __UpperCAmelCase			:				List[Any]													=    get_module_path(_lowercase						)
     __UpperCAmelCase			:				str													=    importlib.import_module(_lowercase						)

     return test_module




def 			_a			(		_lowercase      :			Optional[int]						):





     '''simple docstring'''






     __UpperCAmelCase			:				Any													=    []
     __UpperCAmelCase			:				int													=    get_test_module(_lowercase						)
     for attr in dir(_lowercase						):
          if attr.endswith('''ModelTester'''						):
               tester_classes.append(getattr(_lowercase    ,      _lowercase						)						)

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




def 			_a			(		_lowercase      :			Union[str, Any]						):





     '''simple docstring'''






     __UpperCAmelCase			:				List[Any]													=    []
     __UpperCAmelCase			:				int													=    get_test_module(_lowercase						)
     for attr in dir(_lowercase						):
          __UpperCAmelCase			:				Optional[int]													=    getattr(_lowercase    ,      _lowercase						)
          # (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).
          __UpperCAmelCase			:				Optional[Any]													=    getattr(_lowercase    ,      '''all_model_classes'''    ,      []						)
          if len(_lowercase						) > 0:
               test_classes.append(_lowercase						)

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




def 			_a			(		_lowercase      :			Optional[int]						):





     '''simple docstring'''






     __UpperCAmelCase			:				int													=    get_test_classes(_lowercase						)
     __UpperCAmelCase			:				Tuple													=    set()
     for test_class in test_classes:
          model_classes.update(test_class.all_model_classes						)

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




def 			_a			(		_lowercase      :			Optional[int]						):





     '''simple docstring'''






     __UpperCAmelCase			:				Union[str, Any]													=    test_class()
     if hasattr(_lowercase    ,      '''setUp'''						):
          test.setUp()

     __UpperCAmelCase			:				Optional[Any]													=    None
     if hasattr(_lowercase    ,      '''model_tester'''						):
          # `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
          if test.model_tester is not None:
               __UpperCAmelCase			:				List[Any]													=    test.model_tester.__class__

     return model_tester




def 			_a			(		_lowercase      :			Dict    ,      _lowercase      :			Tuple						):





     '''simple docstring'''






     __UpperCAmelCase			:				int													=    get_test_classes(_lowercase						)

     __UpperCAmelCase			:				Union[str, Any]													=    []
     for test_class in test_classes:
          if model_class in test_class.all_model_classes:
               target_test_classes.append(_lowercase						)

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




def 			_a			(		_lowercase      :			Optional[Any]    ,      _lowercase      :			Tuple						):





     '''simple docstring'''






     __UpperCAmelCase			:				Optional[Any]													=    get_test_classes_for_model(_lowercase    ,      _lowercase						)

     __UpperCAmelCase			:				Tuple													=    []
     for test_class in test_classes:
          __UpperCAmelCase			:				str													=    get_model_tester_from_test_class(_lowercase						)
          if tester_class is not None:
               tester_classes.append(_lowercase						)

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




def 			_a			(		_lowercase      :			Optional[int]						):





     '''simple docstring'''






     __UpperCAmelCase			:				Union[str, Any]													=    get_test_classes(_lowercase						)
     __UpperCAmelCase			:				str													=    {test_class: get_model_tester_from_test_class(_lowercase						) for test_class in test_classes}
     return test_tester_mapping




def 			_a			(		_lowercase      :			Optional[Any]						):





     '''simple docstring'''






     __UpperCAmelCase			:				int													=    get_model_classes(_lowercase						)
     __UpperCAmelCase			:				Optional[Any]													=    {
         model_class: get_test_classes_for_model(_lowercase    ,      _lowercase						) for model_class in model_classes
     }
     return model_test_mapping




def 			_a			(		_lowercase      :			int						):





     '''simple docstring'''






     __UpperCAmelCase			:				List[str]													=    get_model_classes(_lowercase						)
     __UpperCAmelCase			:				Optional[int]													=    {
         model_class: get_tester_classes_for_model(_lowercase    ,      _lowercase						) for model_class in model_classes
     }
     return model_to_tester_mapping




def 			_a			(		_lowercase      :			List[Any]						):





     '''simple docstring'''






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



'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__UpperCAmelCase    :Optional[Any]				       =     {
    "configuration_layoutlmv2": ["LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMv2Config"],
    "processing_layoutlmv2": ["LayoutLMv2Processor"],
    "tokenization_layoutlmv2": ["LayoutLMv2Tokenizer"],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase    :Any				       =     ["LayoutLMv2TokenizerFast"]

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase    :int				       =     ["LayoutLMv2FeatureExtractor"]
      __UpperCAmelCase    :Optional[int]				       =     ["LayoutLMv2ImageProcessor"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase    :List[Any]				       =     [
          "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST",
          "LayoutLMv2ForQuestionAnswering",
          "LayoutLMv2ForSequenceClassification",
          "LayoutLMv2ForTokenClassification",
          "LayoutLMv2Layer",
          "LayoutLMv2Model",
          "LayoutLMv2PreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
      from .processing_layoutlmva import LayoutLMvaProcessor
      from .tokenization_layoutlmva import LayoutLMvaTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_layoutlmva import (
                LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
                LayoutLMvaForQuestionAnswering,
                LayoutLMvaForSequenceClassification,
                LayoutLMvaForTokenClassification,
                LayoutLMvaLayer,
                LayoutLMvaModel,
                LayoutLMvaPreTrainedModel,
            )
else:
      import sys

      __UpperCAmelCase    :Any				       =     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)