






"""simple docstring"""







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


_UpperCamelCase     			=  ["""CoLA""", """SST""", """MRPC""", """QQP""", """STS""", """MNLI""", """SNLI""", """QNLI""", """RTE""", """WNLI""", """diagnostic"""]
_UpperCamelCase     			=  {
    """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""",
}

_UpperCamelCase     			=  """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
_UpperCamelCase     			=  """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""

def _a (		_snake_case      ,       _snake_case							):







      """simple docstring"""






      print(F'''Downloading and extracting {task}...'''							)
      UpperCAmelCase							=       F'''{task}.zip'''
      urllib.request.urlretrieve(TASKaPATH[task]      ,       SCREAMING_SNAKE_CASE_							)
      with zipfile.ZipFile(SCREAMING_SNAKE_CASE_							) as zip_ref:
            zip_ref.extractall(SCREAMING_SNAKE_CASE_							)
      os.remove(SCREAMING_SNAKE_CASE_							)
      print("""\tCompleted!"""							)

def _a (		_snake_case      ,       _snake_case							):







      """simple docstring"""






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

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

      with open(SCREAMING_SNAKE_CASE_      ,       encoding="""utf8"""							) as data_fh, open(
          os.path.join(SCREAMING_SNAKE_CASE_      ,       """train.tsv"""							)      ,       """w"""      ,       encoding="""utf8"""							) as train_fh, open(os.path.join(SCREAMING_SNAKE_CASE_      ,       """dev.tsv"""							)      ,       """w"""      ,       encoding="""utf8"""							) as dev_fh:
            UpperCAmelCase							=       data_fh.readline()
            train_fh.write(SCREAMING_SNAKE_CASE_							)
            dev_fh.write(SCREAMING_SNAKE_CASE_							)
            for row in data_fh:
                  UpperCAmelCase			,					UpperCAmelCase			,					UpperCAmelCase			,					UpperCAmelCase			,					UpperCAmelCase							=       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(SCREAMING_SNAKE_CASE_      ,       encoding="""utf8"""							) as data_fh, open(
          os.path.join(SCREAMING_SNAKE_CASE_      ,       """test.tsv"""							)      ,       """w"""      ,       encoding="""utf8"""							) as test_fh:
            UpperCAmelCase							=       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(SCREAMING_SNAKE_CASE_							):
                  UpperCAmelCase			,					UpperCAmelCase			,					UpperCAmelCase			,					UpperCAmelCase			,					UpperCAmelCase							=       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 _a (		_snake_case							):







      """simple docstring"""






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

def _a (		_snake_case							):







      """simple docstring"""






      UpperCAmelCase							=       task_names.split(""","""							)
      if "all" in task_names:
            UpperCAmelCase							=       TASKS
      else:
            UpperCAmelCase							=       []
            for task_name in task_names:
                  if task_name not in TASKS:
                        raise ValueError(F'''Task {task_name} not found!'''							)
                  tasks.append(SCREAMING_SNAKE_CASE_							)
      return tasks

def _a (		_snake_case							):







      """simple docstring"""






      UpperCAmelCase							=       argparse.ArgumentParser()
      parser.add_argument("""--data_dir"""      ,       help="""directory to save data to"""      ,       type=SCREAMING_SNAKE_CASE_      ,       default="""glue_data"""							)
      parser.add_argument(
          """--tasks"""      ,       help="""tasks to download data for as a comma separated string"""      ,       type=SCREAMING_SNAKE_CASE_      ,       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=SCREAMING_SNAKE_CASE_      ,       default=""""""      ,       )
      UpperCAmelCase							=       parser.parse_args(SCREAMING_SNAKE_CASE_							)

      if not os.path.isdir(args.data_dir							):
            os.mkdir(args.data_dir							)
      UpperCAmelCase							=       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(SCREAMING_SNAKE_CASE_      ,       args.data_dir							)


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





"""simple docstring"""




from functools import lru_cache

@lru_cache
def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_			):
					if not isinstance(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
										raise TypeError('k must be an integer.'			)
					if k < 0:
										raise ValueError('k integer must be greater or equal to zero.'			)
					if k == 0:
										return 0
					elif k == 1:
										return 1
					else:
										return fibonacci(k - 1			) + fibonacci(k - 2			)

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
					SCREAMING_SNAKE_CASE				=	len(SCREAMING_SNAKE_CASE_			)
					# Find m such that F_m >= n where F_i is the i_th fibonacci number.
					SCREAMING_SNAKE_CASE				=	0
					while True:
										if fibonacci(SCREAMING_SNAKE_CASE_			) >= len_list:
															SCREAMING_SNAKE_CASE				=	i
															break
										i += 1
					SCREAMING_SNAKE_CASE				=	0
					while fibb_k > 0:
										SCREAMING_SNAKE_CASE				=	min(
										    offset + fibonacci(fibb_k - 1			),     len_list - 1			)  # Prevent out of range
										SCREAMING_SNAKE_CASE				=	arr[index_k]
										if item_k_1 == val:
															return index_k
										elif val < item_k_1:
															fibb_k -= 1
										elif val > item_k_1:
															offset += fibonacci(fibb_k - 1			)
															fibb_k -= 2
					else:
										return -1


if __name__ == "__main__":
	import doctest

	doctest.testmod()
