





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     _UpperCamelCase     (a__   :Optional[int]       ):






							"""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(a__       )

							return test_module_path





def     _UpperCamelCase     (a__   :List[Any]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			get_module_path(a__       )
							UpperCamelCase__				     =			importlib.import_module(a__       )

							return test_module





def     _UpperCamelCase     (a__   :Optional[Any]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			[]
							UpperCamelCase__				     =			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     _UpperCamelCase     (a__   :Optional[Any]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			[]
							UpperCamelCase__				     =			get_test_module(a__       )
							for attr in dir(a__       ):
														UpperCamelCase__				     =			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).
														UpperCamelCase__				     =			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     _UpperCamelCase     (a__   :Union[str, Any]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			get_test_classes(a__       )
							UpperCamelCase__				     =			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     _UpperCamelCase     (a__   :Union[str, Any]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			test_class()
							if hasattr(a__   ,			"""setUp"""       ):
														test.setUp()

							UpperCamelCase__				     =			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:
																					UpperCamelCase__				     =			test.model_tester.__class__

							return model_tester





def     _UpperCamelCase     (a__   :Dict   ,			a__   :Optional[int]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			get_test_classes(a__       )

							UpperCamelCase__				     =			[]
							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     _UpperCamelCase     (a__   :Any   ,			a__   :Optional[int]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			get_test_classes_for_model(a__   ,			a__       )

							UpperCamelCase__				     =			[]
							for test_class in test_classes:
														UpperCamelCase__				     =			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     _UpperCamelCase     (a__   :Optional[Any]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			get_test_classes(a__       )
							UpperCamelCase__				     =			{test_class: get_model_tester_from_test_class(a__       ) for test_class in test_classes}
							return test_tester_mapping





def     _UpperCamelCase     (a__   :Optional[Any]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			get_model_classes(a__       )
							UpperCamelCase__				     =			{
							    model_class: get_test_classes_for_model(a__   ,			a__       ) for model_class in model_classes
							}
							return model_test_mapping





def     _UpperCamelCase     (a__   :Any       ):






							"""simple docstring"""





							UpperCamelCase__				     =			get_model_classes(a__       )
							UpperCamelCase__				     =			{
							    model_class: get_tester_classes_for_model(a__   ,			a__       ) for model_class in model_classes
							}
							return model_to_tester_mapping





def     _UpperCamelCase     (a__   :int       ):






							"""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











from typing import TYPE_CHECKING

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


UpperCamelCase__											= {
    "configuration_pix2struct": [
        "PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pix2StructConfig",
        "Pix2StructTextConfig",
        "Pix2StructVisionConfig",
    ],
    "processing_pix2struct": ["Pix2StructProcessor"],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCamelCase__											= ["Pix2StructImageProcessor"]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCamelCase__											= [
					    "PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "Pix2StructPreTrainedModel",
					    "Pix2StructForConditionalGeneration",
					    "Pix2StructVisionModel",
					    "Pix2StructTextModel",
					]

if TYPE_CHECKING:
					from .configuration_pixastruct import (
					    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    PixaStructConfig,
					    PixaStructTextConfig,
					    PixaStructVisionConfig,
					)
					from .processing_pixastruct import PixaStructProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_pixastruct import PixaStructImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_pixastruct import (
										    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    PixaStructForConditionalGeneration,
										    PixaStructPreTrainedModel,
										    PixaStructTextModel,
										    PixaStructVisionModel,
										)

else:
					import sys

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




