




import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
_lowerCamelCase  :			List[str]        =       [
    'kernels/rwkv/wkv_cuda.cu',
    'kernels/rwkv/wkv_op.cpp',
    'kernels/deformable_detr/ms_deform_attn.h',
    'kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh',
    'models/graphormer/algos_graphormer.pyx',
]

def 		lowercase_      (		_UpperCAmelCase	):




	"""simple docstring"""






	for file in FILES_TO_FIND:
		if not (transformers_path / file).exists():
			return False
	return True


if __name__ == "__main__":
		_lowerCamelCase  :			Any        =       argparse.ArgumentParser()
		parser.add_argument('--check_lib', action='store_true', help='Whether to check the build or the actual package.')
		_lowerCamelCase  :			int        =       parser.parse_args()
		if args.check_lib:
				_lowerCamelCase  :			List[str]        =       importlib.import_module('transformers')
				_lowerCamelCase  :			List[Any]        =       Path(transformers_module.__file__).parent
		else:
				_lowerCamelCase  :			Union[str, Any]        =       Path.cwd() / 'build/lib/transformers'
		if not test_custom_files_are_present(transformers_path):
				raise ValueError('The built release does not contain the custom files. Fix this before going further!')











"""simple docstring"""

from typing import TYPE_CHECKING

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


_lowerCamelCase  :			Optional[Any]        =       {
    'configuration_mask2former': [
        'MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Mask2FormerConfig',
    ],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowerCamelCase  :			int        =       ['Mask2FormerImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowerCamelCase  :			Tuple        =       [
		    'MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'Mask2FormerForUniversalSegmentation',
		    'Mask2FormerModel',
		    'Mask2FormerPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_maskaformer import MaskaFormerImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_maskaformer import (
				    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MaskaFormerForUniversalSegmentation,
				    MaskaFormerModel,
				    MaskaFormerPreTrainedModel,
				)


else:
		import sys

		_lowerCamelCase  :			Optional[Any]        =       _LazyModule(__name__, globals()['__file__'], _import_structure)





