






"""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			(		_snake_case							):







      """simple docstring"""






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

      return test_module_path

def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	get_module_path(_snake_case							)
      UpperCAmelCase          =	importlib.import_module(_snake_case							)

      return test_module

def _a			(		_snake_case							):







      """simple docstring"""






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

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

def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	[]
      UpperCAmelCase          =	get_test_module(_snake_case							)
      for attr in dir(_snake_case							):
            UpperCAmelCase          =	getattr(_snake_case				,	_snake_case							)
            # (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          =	getattr(_snake_case				,	"""all_model_classes"""				,	[]							)
            if len(_snake_case							) > 0:
                  test_classes.append(_snake_case							)

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

def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	get_test_classes(_snake_case							)
      UpperCAmelCase          =	set()
      for test_class in test_classes:
            model_classes.update(test_class.all_model_classes							)

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

def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	test_class()
      if hasattr(_snake_case				,	"""setUp"""							):
            test.setUp()

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

      return model_tester

def _a			(		_snake_case				,	_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	get_test_classes(_snake_case							)

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

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

def _a			(		_snake_case				,	_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	get_test_classes_for_model(_snake_case				,	_snake_case							)

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

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

def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	get_test_classes(_snake_case							)
      UpperCAmelCase          =	{test_class: get_model_tester_from_test_class(_snake_case							) for test_class in test_classes}
      return test_tester_mapping

def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	get_model_classes(_snake_case							)
      UpperCAmelCase          =	{
          model_class: get_test_classes_for_model(_snake_case				,	_snake_case							) for model_class in model_classes
      }
      return model_test_mapping

def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	get_model_classes(_snake_case							)
      UpperCAmelCase          =	{
          model_class: get_tester_classes_for_model(_snake_case				,	_snake_case							) for model_class in model_classes
      }
      return model_to_tester_mapping






def _a			(		_snake_case							):







      """simple docstring"""






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











"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_UpperCamelCase					      =  {"""configuration_glpn""": ["""GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GLPNConfig"""]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _UpperCamelCase					      =  ["""GLPNFeatureExtractor"""]
  _UpperCamelCase					      =  ["""GLPNImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _UpperCamelCase					      =  [
      """GLPN_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """GLPNForDepthEstimation""",
      """GLPNLayer""",
      """GLPNModel""",
      """GLPNPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_glpn import GLPNFeatureExtractor
    from .image_processing_glpn import GLPNImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_glpn import (
        GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
        GLPNForDepthEstimation,
        GLPNLayer,
        GLPNModel,
        GLPNPreTrainedModel,
    )


else:
  import sys

  _UpperCamelCase					      =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



