





import hashlib
from typing import Union


def 			SCREAMING_SNAKE_CASE__     (					_lowercase    :   Tuple )      ->       bytes:




							'''simple docstring'''


							if isinstance(SCREAMING_SNAKE_CASE__      ,						SCREAMING_SNAKE_CASE__ ):
														# Data already in bytes, returns as it as
														return hash_data
							elif isinstance(SCREAMING_SNAKE_CASE__      ,						SCREAMING_SNAKE_CASE__ ):
														# We keep the data as it as for it ot be later encoded to UTF-8
														# However replace `\\` with `/` for Windows compatibility
														lowercase__				:			Any            =		hash_data.replace('\\'      ,						'/' )
							elif isinstance(SCREAMING_SNAKE_CASE__      ,						SCREAMING_SNAKE_CASE__ ):
														lowercase__				:			Any            =		str(SCREAMING_SNAKE_CASE__ )
							else:
														# If data is not of the required type, raise error
														raise InvalidKeyError(SCREAMING_SNAKE_CASE__ )

							return hash_data.encode('utf-8' )


class 			__lowerCAmelCase				(					__SCREAMING_SNAKE_CASE			):


	'''simple docstring'''





	def __init__(	self:	List[Any],				lowerCamelCase_:	Union[str, Any] ):
								lowercase__				:			Dict            =		'''\nFAILURE TO GENERATE DATASET: Invalid key type detected'''
								lowercase__				:			List[Any]            =		F"""\nFound Key {hash_data} of type {type(UpperCamelCase__ )}"""
								lowercase__				:			Dict            =		'''\nKeys should be either str, int or bytes type'''
								super().__init__(F"""{self.prefix}{self.err_msg}{self.suffix}""" )


class 			__lowerCAmelCase				(					__SCREAMING_SNAKE_CASE			):


	'''simple docstring'''





	def __init__(	self:	Any,				lowerCamelCase_:	Tuple,				lowerCamelCase_:	Optional[Any],				lowerCamelCase_:	int="" ):
								lowercase__				:			Union[str, Any]            =		key
								lowercase__				:			Any            =		duplicate_key_indices
								lowercase__				:			Union[str, Any]            =		fix_msg
								lowercase__				:			Optional[int]            =		'''Found multiple examples generated with the same key'''
								if len(UpperCamelCase__ ) <= 20:
															lowercase__				:			str            =		F"""\nThe examples at index {", ".join(UpperCamelCase__ )} have the key {key}"""
								else:
															lowercase__				:			List[Any]            =		F"""\nThe examples at index {", ".join(duplicate_key_indices[:20] )}... ({len(UpperCamelCase__ ) - 20} more) have the key {key}"""
								lowercase__				:			Tuple            =		'''\n''' + fix_msg if fix_msg else ''''''
								super().__init__(F"""{self.prefix}{self.err_msg}{self.suffix}""" )


class 			__lowerCAmelCase				:


	'''simple docstring'''





	def __init__(	self:	List[str],				lowerCamelCase_:	str ):
								lowercase__				:			Dict            =		hashlib.mda(_as_bytes(UpperCamelCase__ ) )





	def       snake_case__(	self:	Optional[int],				lowerCamelCase_:	Union[str, int, bytes] ):
								lowercase__				:			int            =		self._split_mda.copy()
								lowercase__				:			List[str]            =		_as_bytes(UpperCamelCase__ )
								mda.update(UpperCamelCase__ )
								# Convert to integer with hexadecimal conversion
								return int(mda.hexdigest(),				16 )









from typing import TYPE_CHECKING

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


__UpperCamelCase:  Any   =   {
    """configuration_deta""": ["""DETA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DetaConfig"""],
}

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__UpperCamelCase:  Tuple   =   ["""DetaImageProcessor"""]

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__UpperCamelCase:  List[str]   =   [
			    """DETA_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """DetaForObjectDetection""",
			    """DetaModel""",
			    """DetaPreTrainedModel""",
			]


if TYPE_CHECKING:
			from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .image_processing_deta import DetaImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_deta import (
						    DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
						    DetaForObjectDetection,
						    DetaModel,
						    DetaPreTrainedModel,
						)

else:
			import sys

			__UpperCamelCase:  int   =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


