




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


__SCREAMING_SNAKE_CASE    :   List[str]       =["""CoLA""", """SST""", """MRPC""", """QQP""", """STS""", """MNLI""", """SNLI""", """QNLI""", """RTE""", """WNLI""", """diagnostic"""]
__SCREAMING_SNAKE_CASE    :   Tuple       ={
    """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""",
}

__SCREAMING_SNAKE_CASE    :   Tuple       ="""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
__SCREAMING_SNAKE_CASE    :   str       ="""https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""

def 			lowerCAmelCase_			(  lowerCamelCase:       Dict     ,				lowerCamelCase:       Any						)					->			str:


      '''simple docstring'''




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

def 			lowerCAmelCase_			(  lowerCamelCase:       str     ,				lowerCamelCase:       Tuple						)					->			int:


      '''simple docstring'''




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

      lowerCamelCase__        =				[]
      with open(os.path.join(lowerCamelCase     ,				'dev_ids.tsv'						)     ,				encoding='utf8'						) as ids_fh:
            for row in ids_fh:
                  dev_ids.append(row.strip().split('\t'						)						)

      with open(lowerCamelCase     ,				encoding='utf8'						) as data_fh, open(
          os.path.join(lowerCamelCase     ,				'train.tsv'						)     ,				'w'     ,				encoding='utf8'						) as train_fh, open(os.path.join(lowerCamelCase     ,				'dev.tsv'						)     ,				'w'     ,				encoding='utf8'						) as dev_fh:
            lowerCamelCase__        =				data_fh.readline()
            train_fh.write(lowerCamelCase						)
            dev_fh.write(lowerCamelCase						)
            for row in data_fh:
                  lowerCamelCase__  ,		lowerCamelCase__  ,		lowerCamelCase__  ,		lowerCamelCase__  ,		lowerCamelCase__        =				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(lowerCamelCase     ,				encoding='utf8'						) as data_fh, open(
          os.path.join(lowerCamelCase     ,				'test.tsv'						)     ,				'w'     ,				encoding='utf8'						) as test_fh:
            lowerCamelCase__        =				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(lowerCamelCase						):
                  lowerCamelCase__  ,		lowerCamelCase__  ,		lowerCamelCase__  ,		lowerCamelCase__  ,		lowerCamelCase__        =				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_			(  lowerCamelCase:       Dict						)					->			Any:


      '''simple docstring'''




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

def 			lowerCAmelCase_			(  lowerCamelCase:       Optional[int]						)					->			List[Any]:


      '''simple docstring'''




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

def 			lowerCAmelCase_			(  lowerCamelCase:       Tuple						)					->			Union[str, Any]:


      '''simple docstring'''




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

      if not os.path.isdir(args.data_dir						):
            os.mkdir(args.data_dir						)
      lowerCamelCase__        =				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(lowerCamelCase     ,				args.data_dir						)


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





import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


__SCREAMING_SNAKE_CASE    :   int       =importlib.metadata.version("""numpy""")
__SCREAMING_SNAKE_CASE    :   Optional[int]       =""".""".join([str(x) for x in sys.version_info[:3]])






class 			A			(		_lowerCAmelCase		):
     """simple docstring"""

     def  __snake_case   (    self  :   List[Any]			)				->       Optional[int]:
           # lt + different version strings
           require_version_core('numpy<1000.4.5'			)
           require_version_core('numpy<1000.4'			)
           require_version_core('numpy<1000'			)

           # le
           require_version_core('numpy<=1000.4.5'			)
           require_version_core(F"""numpy<={numpy_ver}"""			)

           # eq
           require_version_core(F"""numpy=={numpy_ver}"""			)

           # ne
           require_version_core('numpy!=1000.4.5'			)

           # ge
           require_version_core('numpy>=1.0'			)
           require_version_core('numpy>=1.0.0'			)
           require_version_core(F"""numpy>={numpy_ver}"""			)

           # gt
           require_version_core('numpy>1.0.0'			)

           # mix
           require_version_core('numpy>1.0.0,<1000'			)

           # requirement w/o version
           require_version_core('numpy'			)

           # unmet requirements due to version conflict
           for req in ["numpy==1.0.0", "numpy>=1000.0.0", F"""numpy<{numpy_ver}"""]:
                 try:
                       require_version_core(A__			)
                 except ImportError as e:
                       self.assertIn(F"""{req} is required"""	,  str(A__			)			)
                       self.assertIn('but found'	,  str(A__			)			)

        # unmet requirements due to missing module
           for req in ["numpipypie>1", "numpipypie2"]:
                 try:
                       require_version_core(A__			)
                 except importlib.metadata.PackageNotFoundError as e:
                       self.assertIn(F"""The '{req}' distribution was not found and is required by this application"""	,  str(A__			)			)
                       self.assertIn('Try: pip install transformers -U'	,  str(A__			)			)

        # bogus requirements formats:
        # 1. whole thing
           for req in ["numpy??1.0.0", "numpy1.0.0"]:
                 try:
                       require_version_core(A__			)
                 except ValueError as e:
                       self.assertIn('requirement needs to be in the pip package format'	,  str(A__			)			)
        # 2. only operators
           for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
                 try:
                       require_version_core(A__			)
                 except ValueError as e:
                       self.assertIn('need one of '	,  str(A__			)			)




     def  __snake_case   (    self  :   str			)				->       Optional[int]:
           # matching requirement
           require_version('python>=3.6.0'			)

           # not matching requirements
           for req in ["python>9.9.9", "python<3.0.0"]:
                 try:
                       require_version_core(A__			)
                 except ImportError as e:
                       self.assertIn(F"""{req} is required"""	,  str(A__			)			)
                       self.assertIn(F"""but found python=={python_ver}"""	,  str(A__			)			)