



"""simple docstring"""

import math
import os
import sys





def    __magic_name__     ( _lowerCamelCase					:			Dict       ):
							__a		:		int						=							""
							try:
														with open(__UpperCamelCase	,							"""rb"""       ) as binary_file:
																					__a		:		int						=							binary_file.read()
														for dat in data:
																					__a		:		Any						=							F'''{dat:08b}'''
																					result += curr_byte
														return result
							except OSError:
														print("""File not accessible"""       )
														sys.exit()





def    __magic_name__     ( _lowerCamelCase					:			Optional[int]	,							_lowerCamelCase					:			Tuple	,							_lowerCamelCase					:			Dict	,							_lowerCamelCase					:			Tuple       ):
							lexicon.pop(__UpperCamelCase       )
							__a		:		Optional[Any]						=							last_match_id

							if math.loga(__UpperCamelCase       ).is_integer():
														for curr_key in lexicon:
																					__a		:		List[Any]						=							"0" + lexicon[curr_key]

							__a		:		List[str]						=							bin(__UpperCamelCase       )[2:]





def    __magic_name__     ( _lowerCamelCase					:			Union[str, Any]       ):
							__a		:		Union[str, Any]						=							{"0": "0", "1": "1"}
							__a		:		Optional[int]						=							"", ""
							__a		:		List[str]						=							len(__UpperCamelCase       )

							for i in range(len(__UpperCamelCase       )       ):
														curr_string += data_bits[i]
														if curr_string not in lexicon:
																					continue

														__a		:		Optional[Any]						=							lexicon[curr_string]
														result += last_match_id
														add_key_to_lexicon(__UpperCamelCase	,							__UpperCamelCase	,							__UpperCamelCase	,							__UpperCamelCase       )
														index += 1
														__a		:		List[Any]						=							""

							while curr_string != "" and curr_string not in lexicon:
														curr_string += "0"

							if curr_string != "":
														__a		:		Any						=							lexicon[curr_string]
														result += last_match_id

							return result





def    __magic_name__     ( _lowerCamelCase					:			Any	,							_lowerCamelCase					:			List[Any]       ):
							__a		:		Dict						=							os.path.getsize(__UpperCamelCase       )
							__a		:		str						=							bin(__UpperCamelCase       )[2:]
							__a		:		Dict						=							len(__UpperCamelCase       )

							return "0" * (length_length - 1) + file_length_binary + compressed





def    __magic_name__     ( _lowerCamelCase					:			Optional[Any]	,							_lowerCamelCase					:			Optional[Any]       ):
							__a		:		int						=							8
							try:
														with open(__UpperCamelCase	,							"""wb"""       ) as opened_file:
																					__a		:		Tuple						=							[
																					    to_write[i : i + byte_length]
																					    for i in range(0	,							len(__UpperCamelCase       )	,							__UpperCamelCase       )
																					]

																					if len(result_byte_array[-1]       ) % byte_length == 0:
																												result_byte_array.append("""10000000"""       )
																					else:
																												result_byte_array[-1] += "1" + "0" * (
																												    byte_length - len(result_byte_array[-1]       ) - 1
																												)

																					for elem in result_byte_array:
																												opened_file.write(int(__UpperCamelCase	,							2       ).to_bytes(1	,							byteorder="""big"""       )       )
							except OSError:
														print("""File not accessible"""       )
														sys.exit()





def    __magic_name__     ( _lowerCamelCase					:			Union[str, Any]	,							_lowerCamelCase					:			str       ):
							__a		:		Union[str, Any]						=							read_file_binary(__UpperCamelCase       )
							__a		:		Optional[int]						=							compress_data(__UpperCamelCase       )
							__a		:		List[str]						=							add_file_length(__UpperCamelCase	,							__UpperCamelCase       )
							write_file_binary(__UpperCamelCase	,							__UpperCamelCase       )


if __name__ == "__main__":
	compress(sys.argv[1], sys.argv[2])






from typing import TYPE_CHECKING

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


lowerCamelCase		       =      {
    """configuration_blip""": [
        """BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlipConfig""",
        """BlipTextConfig""",
        """BlipVisionConfig""",
    ],
    """processing_blip""": ["""BlipProcessor"""],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase		       =      ["""BlipImageProcessor"""]


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase		       =      [
						    """BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """BlipModel""",
						    """BlipPreTrainedModel""",
						    """BlipForConditionalGeneration""",
						    """BlipForQuestionAnswering""",
						    """BlipVisionModel""",
						    """BlipTextModel""",
						    """BlipForImageTextRetrieval""",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase		       =      [
						    """TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """TFBlipModel""",
						    """TFBlipPreTrainedModel""",
						    """TFBlipForConditionalGeneration""",
						    """TFBlipForQuestionAnswering""",
						    """TFBlipVisionModel""",
						    """TFBlipTextModel""",
						    """TFBlipForImageTextRetrieval""",
						]

if TYPE_CHECKING:
						from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
						from .processing_blip import BlipProcessor

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .image_processing_blip import BlipImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_blip import (
												    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    BlipForConditionalGeneration,
												    BlipForImageTextRetrieval,
												    BlipForQuestionAnswering,
												    BlipModel,
												    BlipPreTrainedModel,
												    BlipTextModel,
												    BlipVisionModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_blip import (
												    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFBlipForConditionalGeneration,
												    TFBlipForImageTextRetrieval,
												    TFBlipForQuestionAnswering,
												    TFBlipModel,
												    TFBlipPreTrainedModel,
												    TFBlipTextModel,
												    TFBlipVisionModel,
												)

else:
						import sys

						lowerCamelCase		       =      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


