




'''simple docstring'''







import argparse
import os
import sys
import urllib.request
import zipfile


lowercase			:      Optional[Any]			=					["""CoLA""", """SST""", """MRPC""", """QQP""", """STS""", """MNLI""", """SNLI""", """QNLI""", """RTE""", """WNLI""", """diagnostic"""]
lowercase			:      Union[str, Any]			=					{
    """CoLA""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FCoLA.zip?alt=media&token=46d5e637-3411-4188-bc44-5809b5bfb5f4""",
    """SST""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8""",
    """MRPC""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2Fmrpc_dev_ids.tsv?alt=media&token=ec5c0836-31d5-48f4-b431-7480817f1adc""",
    """QQP""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQQP.zip?alt=media&token=700c6acf-160d-4d89-81d1-de4191d02cb5""",
    """STS""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSTS-B.zip?alt=media&token=bddb94a7-8706-4e0d-a694-1109e12273b5""",
    """MNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FMNLI.zip?alt=media&token=50329ea1-e339-40e2-809c-10c40afff3ce""",
    """SNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSNLI.zip?alt=media&token=4afcfbb2-ff0c-4b2d-a09a-dbf07926f4df""",
    """QNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQNLIv2.zip?alt=media&token=6fdcf570-0fc5-4631-8456-9505272d1601""",
    """RTE""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FRTE.zip?alt=media&token=5efa7e85-a0bb-4f19-8ea2-9e1840f077fb""",
    """WNLI""": """https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf""",
    """diagnostic""": """https://storage.googleapis.com/mtl-sentence-representations.appspot.com/tsvsWithoutLabels%2FAX.tsv?GoogleAccessId=firebase-adminsdk-0khhl@mtl-sentence-representations.iam.gserviceaccount.com&Expires=2498860800&Signature=DuQ2CSPt2Yfre0C%2BiISrVYrIFaZH1Lc7hBVZDD4ZyR7fZYOMNOUGpi8QxBmTNOrNPjR3z1cggo7WXFfrgECP6FBJSsURv8Ybrue8Ypt%2FTPxbuJ0Xc2FhDi%2BarnecCBFO77RSbfuz%2Bs95hRrYhTnByqu3U%2FYZPaj3tZt5QdfpH2IUROY8LiBXoXS46LE%2FgOQc%2FKN%2BA9SoscRDYsnxHfG0IjXGwHN%2Bf88q6hOmAxeNPx6moDulUF6XMUAaXCSFU%2BnRO2RDL9CapWxj%2BDl7syNyHhB7987hZ80B%2FwFkQ3MEs8auvt5XW1%2Bd4aCU7ytgM69r8JDCwibfhZxpaa4gd50QXQ%3D%3D""",
}

lowercase			:      List[Any]			=					"""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
lowercase			:      Optional[int]			=					"""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""



def 					lowerCamelCase__							(			__lowercase    ,      __lowercase							):
     print(F'''Downloading and extracting {task}...'''							)
     snake_case :			Union[str, Any]					   = F'''{task}.zip'''
     urllib.request.urlretrieve(TASKaPATH[task]    ,      __lowercase							)
     with zipfile.ZipFile(__lowercase							) as zip_ref:
          zip_ref.extractall(__lowercase							)
     os.remove(__lowercase							)
     print("""\tCompleted!"""							)



def 					lowerCamelCase__							(			__lowercase    ,      __lowercase							):
     print("""Processing MRPC..."""							)
     snake_case :			Union[str, Any]					   = os.path.join(__lowercase    ,      """MRPC"""							)
     if not os.path.isdir(__lowercase							):
          os.mkdir(__lowercase							)
     if path_to_data:
          snake_case :			Tuple					   = os.path.join(__lowercase    ,      """msr_paraphrase_train.txt"""							)
          snake_case :			Any					   = os.path.join(__lowercase    ,      """msr_paraphrase_test.txt"""							)
     else:
          print("""Local MRPC data not specified, downloading data from %s""" % MRPC_TRAIN							)
          snake_case :			Dict					   = os.path.join(__lowercase    ,      """msr_paraphrase_train.txt"""							)
          snake_case :			List[str]					   = os.path.join(__lowercase    ,      """msr_paraphrase_test.txt"""							)
          urllib.request.urlretrieve(__lowercase    ,      __lowercase							)
          urllib.request.urlretrieve(__lowercase    ,      __lowercase							)
     if not os.path.isfile(__lowercase							):
          raise ValueError(F'''Train data not found at {mrpc_train_file}'''							)
     if not os.path.isfile(__lowercase							):
          raise ValueError(F'''Test data not found at {mrpc_test_file}'''							)
     urllib.request.urlretrieve(TASKaPATH["""MRPC"""]    ,      os.path.join(__lowercase    ,      """dev_ids.tsv"""							)							)

     snake_case :			Optional[Any]					   = []
     with open(os.path.join(__lowercase    ,      """dev_ids.tsv"""							)    ,      encoding="""utf8"""							) as ids_fh:
          for row in ids_fh:
               dev_ids.append(row.strip().split("""\t"""							)							)

     with open(__lowercase    ,      encoding="""utf8"""							) as data_fh, open(
         os.path.join(__lowercase    ,      """train.tsv"""							)    ,      """w"""    ,      encoding="""utf8"""							) as train_fh, open(os.path.join(__lowercase    ,      """dev.tsv"""							)    ,      """w"""    ,      encoding="""utf8"""							) as dev_fh:
          snake_case :			str					   = data_fh.readline()
          train_fh.write(__lowercase							)
          dev_fh.write(__lowercase							)
          for row in data_fh:
               snake_case   ,		snake_case   ,		snake_case   ,		snake_case   ,		snake_case :			Dict					   = row.strip().split("""\t"""							)
               if [ida, ida] in dev_ids:
                    dev_fh.write("""%s\t%s\t%s\t%s\t%s\n""" % (label, ida, ida, sa, sa)							)
               else:
                    train_fh.write("""%s\t%s\t%s\t%s\t%s\n""" % (label, ida, ida, sa, sa)							)

     with open(__lowercase    ,      encoding="""utf8"""							) as data_fh, open(
         os.path.join(__lowercase    ,      """test.tsv"""							)    ,      """w"""    ,      encoding="""utf8"""							) as test_fh:
          snake_case :			Optional[int]					   = data_fh.readline()
          test_fh.write("""index\t#1 ID\t#2 ID\t#1 String\t#2 String\n"""							)
          for idx, row in enumerate(__lowercase							):
               snake_case   ,		snake_case   ,		snake_case   ,		snake_case   ,		snake_case :			List[Any]					   = row.strip().split("""\t"""							)
               test_fh.write("""%d\t%s\t%s\t%s\t%s\n""" % (idx, ida, ida, sa, sa)							)
     print("""\tCompleted!"""							)



def 					lowerCamelCase__							(			__lowercase							):
     print("""Downloading and extracting diagnostic..."""							)
     if not os.path.isdir(os.path.join(__lowercase    ,      """diagnostic"""							)							):
          os.mkdir(os.path.join(__lowercase    ,      """diagnostic"""							)							)
     snake_case :			Tuple					   = os.path.join(__lowercase    ,      """diagnostic"""    ,      """diagnostic.tsv"""							)
     urllib.request.urlretrieve(TASKaPATH["""diagnostic"""]    ,      __lowercase							)
     print("""\tCompleted!"""							)
     return



def 					lowerCamelCase__							(			__lowercase							):
     snake_case :			Dict					   = task_names.split(""","""							)
     if "all" in task_names:
          snake_case :			str					   = TASKS
     else:
          snake_case :			Dict					   = []
          for task_name in task_names:
               if task_name not in TASKS:
                    raise ValueError(F'''Task {task_name} not found!'''							)
               tasks.append(__lowercase							)
     return tasks



def 					lowerCamelCase__							(			__lowercase							):
     snake_case :			Any					   = argparse.ArgumentParser()
     parser.add_argument("""--data_dir"""    ,      help="""directory to save data to"""    ,      type=__lowercase    ,      default="""glue_data"""							)
     parser.add_argument(
         """--tasks"""    ,      help="""tasks to download data for as a comma separated string"""    ,      type=__lowercase    ,      default="""all"""							)
     parser.add_argument(
         """--path_to_mrpc"""    ,      help="""path to directory containing extracted MRPC data, msr_paraphrase_train.txt and msr_paraphrase_text.txt"""    ,      type=__lowercase    ,      default=""""""    ,      )
     snake_case :			Dict					   = parser.parse_args(__lowercase							)

     if not os.path.isdir(args.data_dir							):
          os.mkdir(args.data_dir							)
     snake_case :			Tuple					   = get_tasks(args.tasks							)

     for task in tasks:
          if task == "MRPC":
               format_mrpc(args.data_dir    ,      args.path_to_mrpc							)
          elif task == "diagnostic":
               download_diagnostic(args.data_dir							)
          else:
               download_and_extract(__lowercase    ,      args.data_dir							)


if __name__ == "__main__":
      sys.exit(main(sys.argv[1:]))









'''simple docstring'''







from dataclasses import dataclass

lowercase			:      Tuple			=					"""0.1"""
lowercase			:      Optional[Any]			=					"""Lucia Harcekova"""







@dataclass
class 				_a   :





     '''simple docstring'''



     lowerCAmelCase_     :    int
     lowerCAmelCase_     :    int
     lowerCAmelCase_     :    str







     def __repr__(							self       )			->							str:
          return F'''({self.offset}, {self.length}, {self.indicator})'''







class 				_a   :





     '''simple docstring'''



     def __init__(							self       ,__a = 13       ,__a = 6       )			->							None:
          snake_case :			Dict					   = window_size
          snake_case :			Any					   = lookahead_buffer_size
          snake_case :			str					   = self.window_size - self.lookahead_buffer_size







     def  snake_case_			(							self       ,__a       )			->							list[Token]:
          snake_case :			Tuple					   = []
          snake_case :			Optional[int]					   = """"""

          # while there are still characters in text to compress
          while text:
               # find the next encoding phrase
               # - triplet with offset, length, indicator (the next encoding character)
               snake_case :			str					   = self._find_encoding_token(__a       ,__a       )

               # update the search buffer:
               # - add new characters from text into it
               # - check if size exceed the max search buffer size, if so, drop the
               #   oldest elements
               search_buffer += text[: token.length + 1]
               if len(__a       ) > self.search_buffer_size:
                    snake_case :			List[Any]					   = search_buffer[-self.search_buffer_size :]

               # update the text
               snake_case :			str					   = text[token.length + 1 :]

               # append the token to output
               output.append(__a       )

          return output







     def  snake_case_			(							self       ,__a       )			->							str:
          snake_case :			Union[str, Any]					   = """"""

          for token in tokens:
               for _ in range(token.length       ):
                    output += output[-token.offset]
               output += token.indicator

          return output







     def  snake_case_			(							self       ,__a       ,__a       )			->							Token:

          if not text:
               raise ValueError("""We need some text to work with."""       )

          # Initialise result parameters to default values
          snake_case   ,		snake_case :			int					   = 0, 0

          if not search_buffer:
               return Token(__a       ,__a       ,text[length]       )

          for i, character in enumerate(__a       ):
               snake_case :			Tuple					   = len(__a       ) - i
               if character == text[0]:
                    snake_case :			List[Any]					   = self._match_length_from_index(__a       ,__a       ,0       ,__a       )
                    # if the found length is bigger than the current or if it's equal,
                    # which means it's offset is smaller: update offset and length
                    if found_length >= length:
                         snake_case   ,		snake_case :			Optional[Any]					   = found_offset, found_length

          return Token(__a       ,__a       ,text[length]       )







     def  snake_case_			(							self       ,__a       ,__a       ,__a       ,__a       )			->							int:
          if not text or text[text_index] != window[window_index]:
               return 0
          return 1 + self._match_length_from_index(
              __a       ,window + text[text_index]       ,text_index + 1       ,window_index + 1       )


if __name__ == "__main__":
      from doctest import testmod

      testmod()
      # Initialize compressor class
      lowercase			:      int			=					LZaaCompressor(window_size=13, lookahead_buffer_size=6)

      # Example
      lowercase			:      int			=					"""cabracadabrarrarrad"""
      lowercase			:      str			=					lzaa_compressor.compress(TEXT)
      print(lzaa_compressor.compress("""ababcbababaa"""))
      lowercase			:      List[Any]			=					lzaa_compressor.decompress(compressed_text)
      assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."



