import math
import sys
def       A	(    _lowercase						):
						SCREAMING_SNAKE_CASE							:    str							=							''''''
						try:
												with open(_lowercase		,  '''rb'''						) as binary_file:
																		SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							binary_file.read()
												for dat in data:
																		SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							f"""{dat:08b}"""
																		result += curr_byte
												return result
						except OSError:
												print('''File not accessible'''						)
												sys.exit()
def       A	(    _lowercase						):
						SCREAMING_SNAKE_CASE							:    Dict							=							{'''0''': '''0''', '''1''': '''1'''}
						SCREAMING_SNAKE_CASE				,  SCREAMING_SNAKE_CASE							:    Optional[Any]							=							'''''', ''''''
						SCREAMING_SNAKE_CASE							:    Tuple							=							len(_lowercase						)

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

												SCREAMING_SNAKE_CASE							:    List[Any]							=							lexicon[curr_string]
												result += last_match_id
												SCREAMING_SNAKE_CASE							:    List[Any]							=							last_match_id + '''0'''

												if math.loga(_lowercase						).is_integer():
																		SCREAMING_SNAKE_CASE							:    int							=							{}
																		for curr_key in list(_lowercase						):
																								SCREAMING_SNAKE_CASE							:    Tuple							=							lexicon.pop(_lowercase						)
																		SCREAMING_SNAKE_CASE							:    Dict							=							new_lex

												SCREAMING_SNAKE_CASE							:    Optional[Any]							=							last_match_id + '''1'''
												index += 1
												SCREAMING_SNAKE_CASE							:    Optional[int]							=							''''''
						return result
def       A	(    _lowercase		,  _lowercase						):
						SCREAMING_SNAKE_CASE							:    Tuple							=							8
						try:
												with open(_lowercase		,  '''wb'''						) as opened_file:
																		SCREAMING_SNAKE_CASE							:    Optional[Any]							=							[
																		    to_write[i : i + byte_length]
																		    for i in range(0		,  len(_lowercase						)		,  _lowercase						)
																		]

																		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(_lowercase		,  2						).to_bytes(1		,  byteorder='''big'''						)						)
						except OSError:
												print('''File not accessible'''						)
												sys.exit()
def       A	(    _lowercase						):
						SCREAMING_SNAKE_CASE							:    List[str]							=							0
						for letter in data_bits:
												if letter == "1":
																		break
												counter += 1

						SCREAMING_SNAKE_CASE							:    Tuple							=							data_bits[counter:]
						SCREAMING_SNAKE_CASE							:    int							=							data_bits[counter + 1 :]
						return data_bits
def       A	(    _lowercase		,  _lowercase						):
						SCREAMING_SNAKE_CASE							:    Tuple							=							read_file_binary(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							remove_prefix(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							decompress_data(_lowercase						)
						write_file_binary(_lowercase		,  _lowercase						)


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






import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict
@pytest.mark.parametrize(
    '''split_dict'''		,  [
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train'''		,  num_bytes=1_337		,  num_examples=42		,  dataset_name='''my_dataset'''						)}						),
        SplitDict({'''train''': SplitInfo(name='''train'''		,  num_bytes=1_337		,  num_examples=42						)}						),
        SplitDict({'''train''': SplitInfo()}						),
    ]		,  )
def       A	(    _lowercase						):
						SCREAMING_SNAKE_CASE							:    Tuple							=							split_dict._to_yaml_list()
						assert len(_lowercase						) == len(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Tuple							=							SplitDict._from_yaml_list(_lowercase						)
						for split_name, split_info in split_dict.items():
												# dataset_name field is deprecated, and is therefore not part of the YAML dump
												SCREAMING_SNAKE_CASE							:    Any							=							None
												# the split name of split_dict takes over the name of the split info object
												SCREAMING_SNAKE_CASE							:    Optional[Any]							=							split_name
						assert split_dict == reloaded



@pytest.mark.parametrize(
    '''split_info'''		,  [SplitInfo(), SplitInfo(dataset_name=_lowercase						), SplitInfo(dataset_name='''my_dataset'''						)]						)
def       A	(    _lowercase						):
						# For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
						# field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
						SCREAMING_SNAKE_CASE							:    List[Any]							=							asdict(SplitDict({'''train''': split_info}						)						)
						assert "dataset_name" in split_dict_asdict["train"]
						assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name





