"""simple docstring"""






import math
import os
import sys



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



def   a_						(					lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       ):
				lexicon.pop(lowerCamelCase       )
				UpperCAmelCase__             =							last_match_id

				if math.loga(lowerCamelCase       ).is_integer():
								for curr_key in lexicon:
												UpperCAmelCase__             =							'0' + lexicon[curr_key]

				UpperCAmelCase__             =							bin(lowerCamelCase       )[2:]



def   a_						(					lowerCamelCase       ):
				UpperCAmelCase__             =							{'0': '0', '1': '1'}
				UpperCAmelCase__      ,	UpperCAmelCase__             =							'', ''
				UpperCAmelCase__             =							len(lowerCamelCase       )

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

								UpperCAmelCase__             =							lexicon[curr_string]
								result += last_match_id
								add_key_to_lexicon(lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       )
								index += 1
								UpperCAmelCase__             =							''

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

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

				return result



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							os.path.getsize(lowerCamelCase       )
				UpperCAmelCase__             =							bin(lowerCamelCase       )[2:]
				UpperCAmelCase__             =							len(lowerCamelCase       )

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



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							8
				try:
								with open(lowerCamelCase					,			'wb'       ) as opened_file:
												UpperCAmelCase__             =							[
												    to_write[i : i + byte_length]
												    for i in range(0					,			len(lowerCamelCase       )					,			lowerCamelCase       )
												]

												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(lowerCamelCase					,			2       ).to_bytes(1					,			byteorder='big'       )       )
				except OSError:
								print('File not accessible'       )
								sys.exit()



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							read_file_binary(lowerCamelCase       )
				UpperCAmelCase__             =							compress_data(lowerCamelCase       )
				UpperCAmelCase__             =							add_file_length(lowerCamelCase					,			lowerCamelCase       )
				write_file_binary(lowerCamelCase					,			lowerCamelCase       )


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





'''simple docstring'''







from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
							import torch

if is_vision_available():
							from PIL import Image


_lowercase :  List[str]    							=       ["text", "image", "audio"]
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: List[str]							):



						"""simple docstring"""





						lowercase_	:     int													=       []

						for input_type in input_types:
												if input_type == "text":
																		inputs.append('''Text input'''							)
												elif input_type == "image":
																		inputs.append(
																		    Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''							)							) / '''000000039769.png'''							).resize((512, 512)							)							)
												elif input_type == "audio":
																		inputs.append(torch.ones(3000							)							)
												elif isinstance(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							):
																		inputs.append(create_inputs(__SCREAMING_SNAKE_CASE							)							)
												else:
																		raise ValueError(F'''Invalid type requested: {input_type}'''							)

						return inputs
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: List							):



						"""simple docstring"""





						lowercase_	:     Optional[Any]													=       []

						for output in outputs:
												if isinstance(__SCREAMING_SNAKE_CASE      ,      (str, AgentText)							):
																		output_types.append('''text'''							)
												elif isinstance(__SCREAMING_SNAKE_CASE      ,      (Image.Image, AgentImage)							):
																		output_types.append('''image'''							)
												elif isinstance(__SCREAMING_SNAKE_CASE      ,      (torch.Tensor, AgentAudio)							):
																		output_types.append('''audio'''							)
												else:
																		raise ValueError(F'''Invalid output: {output}'''							)

						return output_types






@is_tool_test
class  lowerCAmelCase__   :






					def 	_snake_case    (   self		):


											"""simple docstring"""





											self.assertTrue(hasattr(self.tool				,							'''inputs'''		)		)
											self.assertTrue(hasattr(self.tool				,							'''outputs'''		)		)

											lowercase_	:     Optional[Any]													=       self.tool.inputs
											for _input in inputs:
																	if isinstance(_input				,							__SCREAMING_SNAKE_CASE		):
																							for __input in _input:
																													self.assertTrue(__input in authorized_types		)
																	else:
																							self.assertTrue(_input in authorized_types		)

											lowercase_	:     int													=       self.tool.outputs
											for _output in outputs:
																	self.assertTrue(_output in authorized_types		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     int													=       create_inputs(self.tool.inputs		)
											lowercase_	:     Tuple													=       self.tool(*__SCREAMING_SNAKE_CASE		)

											# There is a single output
											if len(self.tool.outputs		) == 1:
																	lowercase_	:     Any													=       [outputs]

											self.assertListEqual(output_types(__SCREAMING_SNAKE_CASE		)				,							self.tool.outputs		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											self.assertTrue(hasattr(self.tool				,							'''description'''		)		)
											self.assertTrue(hasattr(self.tool				,							'''default_checkpoint'''		)		)
											self.assertTrue(self.tool.description.startswith('''This is a tool that'''		)		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     int													=       create_inputs(self.tool.inputs		)
											lowercase_	:     int													=       self.tool(*__SCREAMING_SNAKE_CASE		)

											if not isinstance(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):
																	lowercase_	:     Optional[Any]													=       [outputs]

											self.assertEqual(len(__SCREAMING_SNAKE_CASE		)				,							len(self.tool.outputs		)		)

											for output, output_type in zip(__SCREAMING_SNAKE_CASE				,							self.tool.outputs		):
																	lowercase_	:     Optional[int]													=       AGENT_TYPE_MAPPING[output_type]
																	self.assertTrue(isinstance(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		)		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Dict													=       create_inputs(self.tool.inputs		)

											lowercase_	:     int													=       []

											for _input, input_type in zip(__SCREAMING_SNAKE_CASE				,							self.tool.inputs		):
																	if isinstance(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):
																							_inputs.append([AGENT_TYPE_MAPPING[_input_type](_input		) for _input_type in input_type]		)
																	else:
																							_inputs.append(AGENT_TYPE_MAPPING[input_type](_input		)		)

        # Should not raise an error
											lowercase_	:     Optional[Any]													=       self.tool(*__SCREAMING_SNAKE_CASE		)

											if not isinstance(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):
																	lowercase_	:     Dict													=       [outputs]

											self.assertEqual(len(__SCREAMING_SNAKE_CASE		)				,							len(self.tool.outputs		)		)



