





"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase__     			=			{
    '''configuration_blenderbot''': [
        '''BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BlenderbotConfig''',
        '''BlenderbotOnnxConfig''',
    ],
    '''tokenization_blenderbot''': ['''BlenderbotTokenizer'''],
}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__     			=			['''BlenderbotTokenizerFast''']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__     			=			[
						    '''BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''BlenderbotForCausalLM''',
						    '''BlenderbotForConditionalGeneration''',
						    '''BlenderbotModel''',
						    '''BlenderbotPreTrainedModel''',
						]


try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__     			=			[
						    '''TFBlenderbotForConditionalGeneration''',
						    '''TFBlenderbotModel''',
						    '''TFBlenderbotPreTrainedModel''',
						]


try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__     			=			[
						    '''FlaxBlenderbotForConditionalGeneration''',
						    '''FlaxBlenderbotModel''',
						    '''FlaxBlenderbotPreTrainedModel''',
						]


if TYPE_CHECKING:
						from .configuration_blenderbot import (
						    BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    BlenderbotConfig,
						    BlenderbotOnnxConfig,
						)
						from .tokenization_blenderbot import BlenderbotTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_blenderbot import (
												    BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    BlenderbotForCausalLM,
												    BlenderbotForConditionalGeneration,
												    BlenderbotModel,
												    BlenderbotPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_blenderbot import (
												    TFBlenderbotForConditionalGeneration,
												    TFBlenderbotModel,
												    TFBlenderbotPreTrainedModel,
												)

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_blenderbot import (
												    FlaxBlenderbotForConditionalGeneration,
												    FlaxBlenderbotModel,
												    FlaxBlenderbotPreTrainedModel,
												)

else:
						import sys

						lowerCAmelCase__     			=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)













"""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__					(					_SCREAMING_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(_SCREAMING_SNAKE_CASE    )

		return test_module_path


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	get_module_path(_SCREAMING_SNAKE_CASE    )
		UpperCamelCase   =	importlib.import_module(_SCREAMING_SNAKE_CASE    )

		return test_module


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


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

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


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	[]
		UpperCamelCase   =	get_test_module(_SCREAMING_SNAKE_CASE    )
		for attr in dir(_SCREAMING_SNAKE_CASE    ):
				UpperCamelCase   =	getattr(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_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(_SCREAMING_SNAKE_CASE  ,	"all_model_classes"  ,	[]    )
				if len(_SCREAMING_SNAKE_CASE    ) > 0:
						test_classes.append(_SCREAMING_SNAKE_CASE    )

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


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	get_test_classes(_SCREAMING_SNAKE_CASE    )
		UpperCamelCase   =	set()
		for test_class in test_classes:
				model_classes.update(test_class.all_model_classes    )

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


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	test_class()
		if hasattr(_SCREAMING_SNAKE_CASE  ,	"setUp"    ):
				test.setUp()

		UpperCamelCase   =	None
		if hasattr(_SCREAMING_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__					(					_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	get_test_classes(_SCREAMING_SNAKE_CASE    )

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

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


def       a__					(					_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	get_test_classes_for_model(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE    )

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

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


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	get_test_classes(_SCREAMING_SNAKE_CASE    )
		UpperCamelCase   =	{test_class: get_model_tester_from_test_class(_SCREAMING_SNAKE_CASE    ) for test_class in test_classes}
		return test_tester_mapping


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	get_model_classes(_SCREAMING_SNAKE_CASE    )
		UpperCamelCase   =	{
		    model_class: get_test_classes_for_model(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE    ) for model_class in model_classes
		}
		return model_test_mapping


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	get_model_classes(_SCREAMING_SNAKE_CASE    )
		UpperCamelCase   =	{
		    model_class: get_tester_classes_for_model(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE    ) for model_class in model_classes
		}
		return model_to_tester_mapping






def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


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






