




# Lint as: python3

import hashlib
from typing import Union






def    snake_case   (				A     )				->				bytes:




	'''simple docstring'''


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

	return hash_data.encode('utf-8'     )


class 							__SCREAMING_SNAKE_CASE				(						lowerCamelCase    ):

					def __init__(							self					,			__lowercase   ):







						'''simple docstring'''




						lowerCamelCase_				:						Optional[int]				  =				'\nFAILURE TO GENERATE DATASET: Invalid key type detected'
						lowerCamelCase_				:						int				  =				f"\nFound Key {hash_data} of type {type(__lowercase   )}"
						lowerCamelCase_				:						Optional[int]				  =				'\nKeys should be either str, int or bytes type'
						super().__init__(f"{self.prefix}{self.err_msg}{self.suffix}"   )


class 							__SCREAMING_SNAKE_CASE				(						lowerCamelCase    ):

					def __init__(							self					,			__lowercase					,			__lowercase					,			__lowercase=""   ):







						'''simple docstring'''




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


class 							__SCREAMING_SNAKE_CASE				:

					def __init__(							self					,			__lowercase   ):







						'''simple docstring'''




						lowerCamelCase_				:						Optional[int]				  =				hashlib.mda(_as_bytes(__lowercase   )   )





					def       lowercase_				(							self					,			__lowercase   ):







						'''simple docstring'''




						lowerCamelCase_				:						int				  =				self._split_mda.copy()
						lowerCamelCase_				:						str				  =				_as_bytes(__lowercase   )
						mda.update(__lowercase   )
						# Convert to integer with hexadecimal conversion
						return int(mda.hexdigest()					,			16   )






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase__						=		{
    'configuration_sam': [
        'SAM_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'SamConfig',
        'SamMaskDecoderConfig',
        'SamPromptEncoderConfig',
        'SamVisionConfig',
    ],
    'processing_sam': ['SamProcessor'],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase__						=		[
							    'SAM_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'SamModel',
							    'SamPreTrainedModel',
							]
try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase__						=		[
							    'TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'TFSamModel',
							    'TFSamPreTrainedModel',
							]
try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase__						=		['SamImageProcessor']


if TYPE_CHECKING:
							from .configuration_sam import (
							    SAM_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    SamConfig,
							    SamMaskDecoderConfig,
							    SamPromptEncoderConfig,
							    SamVisionConfig,
							)
							from .processing_sam import SamProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_sam import SAM_PRETRAINED_MODEL_ARCHIVE_LIST, SamModel, SamPreTrainedModel

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_sam import TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST, TFSamModel, TFSamPreTrainedModel

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_sam import SamImageProcessor

else:
							import sys

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