



'''simple docstring'''

from typing import TYPE_CHECKING

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


a							   =				{'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

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

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a							   =				[
	    '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

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








"""simple docstring"""




import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format




class 			__snake_case   :
							__a					 =       None




							def   __a   (     self:    int   ):
										__lowerCamelCase          =      self.feature_extraction_class(**self.feat_extract_dict   )
										__lowerCamelCase          =      json.loads(feat_extract.to_json_string()   )
										for key, value in self.feat_extract_dict.items():
													self.assertEqual(obj[key]     ,							A_   )




							def   __a   (     self:    List[str]   ):
										__lowerCamelCase          =      self.feature_extraction_class(**self.feat_extract_dict   )

										with tempfile.TemporaryDirectory() as tmpdirname:
													__lowerCamelCase          =      os.path.join(A_     ,							"""feat_extract.json"""   )
													feat_extract_first.to_json_file(A_   )
													__lowerCamelCase          =      self.feature_extraction_class.from_json_file(A_   )

										self.assertEqual(feat_extract_second.to_dict()     ,							feat_extract_first.to_dict()   )




							def   __a   (     self:    Optional[Any]   ):
										__lowerCamelCase          =      self.feature_extraction_class(**self.feat_extract_dict   )

										with tempfile.TemporaryDirectory() as tmpdirname:
													__lowerCamelCase          =      feat_extract_first.save_pretrained(A_   )[0]
													check_json_file_has_correct_format(A_   )
													__lowerCamelCase          =      self.feature_extraction_class.from_pretrained(A_   )

										self.assertEqual(feat_extract_second.to_dict()     ,							feat_extract_first.to_dict()   )




							def   __a   (     self:    List[Any]   ):
										__lowerCamelCase          =      self.feature_extraction_class()
										self.assertIsNotNone(A_   )




