
'''simple docstring'''
import math
import sys






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE				):
							_snake_case       =  """"""
							try:
														with open(_SCREAMING_SNAKE_CASE							, """rb"""				) as binary_file:
																					_snake_case       =  binary_file.read()
														for dat in data:
																					_snake_case       =  f"""{dat:08b}"""
																					result += curr_byte
														return result
							except OSError:
														print("""File not accessible"""				)
														sys.exit()






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE				):
							_snake_case       =  {"""0""": """0""", """1""": """1"""}
							_snake_case,							_snake_case       =  """""", """"""
							_snake_case       =  len(_SCREAMING_SNAKE_CASE				)

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

														_snake_case       =  lexicon[curr_string]
														result += last_match_id
														_snake_case       =  last_match_id + """0"""

														if math.loga(_SCREAMING_SNAKE_CASE				).is_integer():
																					_snake_case       =  {}
																					for curr_key in list(_SCREAMING_SNAKE_CASE				):
																												_snake_case       =  lexicon.pop(_SCREAMING_SNAKE_CASE				)
																					_snake_case       =  new_lex

														_snake_case       =  last_match_id + """1"""
														index += 1
														_snake_case       =  """"""
							return result






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							_snake_case       =  8
							try:
														with open(_SCREAMING_SNAKE_CASE							, """wb"""				) as opened_file:
																					_snake_case       =  [
																					    to_write[i : i + byte_length]
																					    for i in range(0							, len(_SCREAMING_SNAKE_CASE				)							, _SCREAMING_SNAKE_CASE				)
																					]

																					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[:-1]:
																												opened_file.write(int(_SCREAMING_SNAKE_CASE							, 2				).to_bytes(1							, byteorder="""big"""				)				)
							except OSError:
														print("""File not accessible"""				)
														sys.exit()






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE				):
							_snake_case       =  0
							for letter in data_bits:
														if letter == "1":
																					break
														counter += 1

							_snake_case       =  data_bits[counter:]
							_snake_case       =  data_bits[counter + 1 :]
							return data_bits






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							_snake_case       =  read_file_binary(_SCREAMING_SNAKE_CASE				)
							_snake_case       =  remove_prefix(_SCREAMING_SNAKE_CASE				)
							_snake_case       =  decompress_data(_SCREAMING_SNAKE_CASE				)
							write_file_binary(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				)


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

'''simple docstring'''
from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
				if not (is_transformers_available() and is_torch_available()):
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
				from .multicontrolnet import MultiControlNetModel
				from .pipeline_controlnet import StableDiffusionControlNetPipeline
				from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
				from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
				from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline