






__lowerCamelCase :      Optional[int]										=				"""Input must be a string of 8 numbers plus letter"""
__lowerCamelCase :      Any										=				"""TRWAGMYFPDXBNJZSQVHLCKE"""







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							str       ):

	if not isinstance(snake_case_					,  snake_case_       ):
		snake_case__			:				str       =  F'''Expected string as input, found {type(snake_case_       ).__name__}'''
		raise TypeError(snake_case_       )

	snake_case__			:				Tuple       =  spanish_id.replace("-"					,  ""       ).upper()
	if len(snake_case_       ) != 9:
		raise ValueError(snake_case_       )

	try:
		snake_case__			:				Union[str, Any]       =  int(spanish_id_clean[0:8]       )
		snake_case__			:				Tuple       =  spanish_id_clean[8]
	except ValueError as ex:
		raise ValueError(snake_case_       ) from ex

	if letter.isdigit():
		raise ValueError(snake_case_       )

	return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
	import doctest

	doctest.testmod()











from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCamelCase :      Any										=				{
    """configuration_instructblip""": [
        """INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InstructBlipConfig""",
        """InstructBlipQFormerConfig""",
        """InstructBlipVisionConfig""",
    ],
    """processing_instructblip""": ["""InstructBlipProcessor"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase :      List[Any]										=				[
	    """INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """InstructBlipQFormerModel""",
	    """InstructBlipPreTrainedModel""",
	    """InstructBlipForConditionalGeneration""",
	    """InstructBlipVisionModel""",
	]

if TYPE_CHECKING:
	from .configuration_instructblip import (
	    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    InstructBlipConfig,
	    InstructBlipQFormerConfig,
	    InstructBlipVisionConfig,
	)
	from .processing_instructblip import InstructBlipProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_instructblip import (
		    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    InstructBlipForConditionalGeneration,
		    InstructBlipPreTrainedModel,
		    InstructBlipQFormerModel,
		    InstructBlipVisionModel,
		)

else:
	import sys

	__lowerCamelCase :      Any										=				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



