
import os
from collections import deque

import torch
from torch.utils.data import Dataset

class       a		(   __UpperCAmelCase					):







							def __init__(						self  :  Optional[Any]      ,				snake_case__  :  str=""      ,				snake_case__  :  str="train" ):
								"""simple docstring"""







								assert os.path.isdir(snake_case__ )

								__lowerCAmelCase         =							[]
								__lowerCAmelCase         =							os.listdir(snake_case__ )
								for story_filename in story_filenames_list:
									if "summary" in story_filename:
										continue
									__lowerCAmelCase         =							os.path.join(snake_case__      ,				snake_case__ )
									if not os.path.isfile(snake_case__ ):
										continue
									self.documents.append(snake_case__ )







							def __len__(						self  :  int ):
								"""simple docstring"""







								return len(self.documents )







							def __getitem__(						self  :  List[Any]      ,				snake_case__  :  List[Any] ):
								"""simple docstring"""







								__lowerCAmelCase         =							self.documents[idx]
								__lowerCAmelCase         =							document_path.split("/" )[-1]
								with open(snake_case__      ,				encoding="utf-8" ) as source:
									__lowerCAmelCase         =							source.read()
									__lowerCAmelCase   ,						__lowerCAmelCase         =							process_story(snake_case__ )
								return document_name, story_lines, summary_lines






def 		_UpperCAmelCase   (	UpperCamelCase:     Optional[int]  ):






	"""simple docstring"""


	__lowerCAmelCase         =							list(filter(lambda UpperCamelCase  : len(UpperCamelCase  ) != 0			,							[line.strip() for line in raw_story.split("\n"  )]  )  )

	# for some unknown reason some lines miss a period, add it
	__lowerCAmelCase         =							[_add_missing_period(UpperCamelCase  ) for line in nonempty_lines]

	# gather article lines
	__lowerCAmelCase         =							[]
	__lowerCAmelCase         =							deque(UpperCamelCase  )
	while True:
		try:
			__lowerCAmelCase         =							lines.popleft()
			if element.startswith("@highlight"  ):
				break
			story_lines.append(UpperCamelCase  )
		except IndexError:
			# if "@highlight" is absent from the file we pop
			# all elements until there is None, raising an exception.
			return story_lines, []

    # gather summary lines
	__lowerCAmelCase         =							list(filter(lambda UpperCamelCase  : not t.startswith("@highlight"  )			,							UpperCamelCase  )  )

	return story_lines, summary_lines






def 		_UpperCAmelCase   (	UpperCamelCase:     Optional[Any]  ):






	"""simple docstring"""


	__lowerCAmelCase         =							[".", "!", "?", "...", "'", "`", "\"", "\u2019", "\u2019", ")"]
	if line.startswith("@highlight"  ):
		return line
	if line[-1] in END_TOKENS:
		return line
	return line + "."






def 		_UpperCAmelCase   (	UpperCamelCase:     Any			,							UpperCamelCase:     Tuple			,							UpperCamelCase:     Any  ):






	"""simple docstring"""


	if len(UpperCamelCase  ) > block_size:
		return sequence[:block_size]
	else:
		sequence.extend([pad_token_id] * (block_size - len(UpperCamelCase  ))  )
		return sequence






def 		_UpperCAmelCase   (	UpperCamelCase:     Tuple			,							UpperCamelCase:     Dict  ):






	"""simple docstring"""


	__lowerCAmelCase         =							torch.ones_like(UpperCamelCase  )
	__lowerCAmelCase         =							sequence == pad_token_id
	__lowerCAmelCase         =							0
	return mask






def 		_UpperCAmelCase   (	UpperCamelCase:     Dict			,							UpperCamelCase:     Optional[int]			,							UpperCamelCase:     Union[str, Any]  ):






	"""simple docstring"""


	__lowerCAmelCase         =							[tokenizer.encode(UpperCamelCase  ) for line in story_lines]
	__lowerCAmelCase         =							[token for sentence in story_lines_token_ids for token in sentence]
	__lowerCAmelCase         =							[tokenizer.encode(UpperCamelCase  ) for line in summary_lines]
	__lowerCAmelCase         =							[token for sentence in summary_lines_token_ids for token in sentence]

	return story_token_ids, summary_token_ids







def 		_UpperCAmelCase   (	UpperCamelCase:     Optional[int]			,							UpperCamelCase:     Optional[Any]  ):






	"""simple docstring"""


	__lowerCAmelCase         =							[]
	for sequence in batch:
		__lowerCAmelCase         =							-1
		__lowerCAmelCase         =							[]
		for s in sequence:
			if s == separator_token_id:
				sentence_num += 1
			embeddings.append(sentence_num % 2  )
		batch_embeddings.append(UpperCamelCase  )
	return torch.tensor(UpperCamelCase  )








import math
import sys






def 		_UpperCAmelCase   (	UpperCamelCase:     str  ):






	"""simple docstring"""


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






def 		_UpperCAmelCase   (	UpperCamelCase:     str  ):






	"""simple docstring"""


	__lowerCAmelCase         =							{"0": "0", "1": "1"}
	__lowerCAmelCase   ,						__lowerCAmelCase         =							"", ""
	__lowerCAmelCase         =							len(UpperCamelCase  )

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

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

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

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






def 		_UpperCAmelCase   (	UpperCamelCase:     str			,							UpperCamelCase:     str  ):






	"""simple docstring"""


	__lowerCAmelCase         =							8
	try:
		with open(UpperCamelCase			,							"wb"  ) as opened_file:
			__lowerCAmelCase         =							[
			    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[:-1]:
				opened_file.write(int(UpperCamelCase			,							2  ).to_bytes(1			,							byteorder="big"  )  )
	except OSError:
		print("File not accessible"  )
		sys.exit()






def 		_UpperCAmelCase   (	UpperCamelCase:     str  ):






	"""simple docstring"""


	__lowerCAmelCase         =							0
	for letter in data_bits:
		if letter == "1":
			break
		counter += 1

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






def 		_UpperCAmelCase   (	UpperCamelCase:     str			,							UpperCamelCase:     str  ):






	"""simple docstring"""


	__lowerCAmelCase         =							read_file_binary(UpperCamelCase  )
	__lowerCAmelCase         =							remove_prefix(UpperCamelCase  )
	__lowerCAmelCase         =							decompress_data(UpperCamelCase  )
	write_file_binary(UpperCamelCase			,							UpperCamelCase  )


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






