

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


UpperCAmelCase_       :				Tuple		   =      ['''CoLA''', '''SST''', '''MRPC''', '''QQP''', '''STS''', '''MNLI''', '''SNLI''', '''QNLI''', '''RTE''', '''WNLI''', '''diagnostic''']
UpperCAmelCase_       :				Dict		   =      {
    '''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_       :				Optional[int]		   =      '''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'''
UpperCAmelCase_       :				List[str]		   =      '''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'''
def        __SCREAMING_SNAKE_CASE    (      a__						:      Any ,a__						:      Any					)				->							Union[str, Any]:
 print(f"""Downloading and extracting {task}..."""					)
 __A   : List[Any]								= f"""{task}.zip"""
 urllib.request.urlretrieve(TASKaPATH[task] ,a__					)
 with zipfile.ZipFile(a__					) as zip_ref:
  zip_ref.extractall(a__					)
 os.remove(a__					)
 print("""\tCompleted!"""					)
def        __SCREAMING_SNAKE_CASE    (      a__						:      Any ,a__						:      Optional[int]					)				->							Any:
 print("""Processing MRPC..."""					)
 __A   : List[str]								= os.path.join(a__ ,"""MRPC"""					)
 if not os.path.isdir(a__					):
  os.mkdir(a__					)
 if path_to_data:
  __A   : Optional[int]								= os.path.join(a__ ,"""msr_paraphrase_train.txt"""					)
  __A   : Dict								= os.path.join(a__ ,"""msr_paraphrase_test.txt"""					)
 else:
  print("""Local MRPC data not specified, downloading data from %s""" % MRPC_TRAIN					)
  __A   : int								= os.path.join(a__ ,"""msr_paraphrase_train.txt"""					)
  __A   : Optional[int]								= os.path.join(a__ ,"""msr_paraphrase_test.txt"""					)
  urllib.request.urlretrieve(a__ ,a__					)
  urllib.request.urlretrieve(a__ ,a__					)
 if not os.path.isfile(a__					):
  raise ValueError(f"""Train data not found at {mrpc_train_file}"""					)
 if not os.path.isfile(a__					):
  raise ValueError(f"""Test data not found at {mrpc_test_file}"""					)
 urllib.request.urlretrieve(TASKaPATH["""MRPC"""] ,os.path.join(a__ ,"""dev_ids.tsv"""					)					)

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

 with open(a__ ,encoding="""utf8"""					) as data_fh, open(
     os.path.join(a__ ,"""train.tsv"""					) ,"""w""" ,encoding="""utf8"""					) as train_fh, open(os.path.join(a__ ,"""dev.tsv"""					) ,"""w""" ,encoding="""utf8"""					) as dev_fh:
  __A   : int								= data_fh.readline()
  train_fh.write(a__					)
  dev_fh.write(a__					)
  for row in data_fh:
   __A   : Union[str, Any]								= 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(a__ ,encoding="""utf8"""					) as data_fh, open(
     os.path.join(a__ ,"""test.tsv"""					) ,"""w""" ,encoding="""utf8"""					) as test_fh:
  __A   : Dict								= 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(a__					):
   __A   : List[str]								= 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        __SCREAMING_SNAKE_CASE    (      a__						:      List[str]					)				->							str:
 print("""Downloading and extracting diagnostic..."""					)
 if not os.path.isdir(os.path.join(a__ ,"""diagnostic"""					)					):
  os.mkdir(os.path.join(a__ ,"""diagnostic"""					)					)
 __A   : int								= os.path.join(a__ ,"""diagnostic""" ,"""diagnostic.tsv"""					)
 urllib.request.urlretrieve(TASKaPATH["""diagnostic"""] ,a__					)
 print("""\tCompleted!"""					)
 return
def        __SCREAMING_SNAKE_CASE    (      a__						:      List[Any]					)				->							Any:
 __A   : Union[str, Any]								= task_names.split(""","""					)
 if "all" in task_names:
  __A   : str								= TASKS
 else:
  __A   : Optional[int]								= []
  for task_name in task_names:
   if task_name not in TASKS:
    raise ValueError(f"""Task {task_name} not found!"""					)
   tasks.append(a__					)
 return tasks
def        __SCREAMING_SNAKE_CASE    (      a__						:      Optional[Any]					)				->							List[str]:
 __A   : Union[str, Any]								= argparse.ArgumentParser()
 parser.add_argument("""--data_dir""" ,help="""directory to save data to""" ,type=a__ ,default="""glue_data"""					)
 parser.add_argument(
     """--tasks""" ,help="""tasks to download data for as a comma separated string""" ,type=a__ ,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=a__ ,default="""""" ,)
 __A   : int								= parser.parse_args(a__					)

 if not os.path.isdir(args.data_dir					):
  os.mkdir(args.data_dir					)
 __A   : List[str]								= 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(a__ ,args.data_dir					)


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








from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_       :				Optional[Any]		   =      logging.get_logger(__name__)

UpperCAmelCase_       :				List[str]		   =      {
    '''uw-madison/nystromformer-512''': '''https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json''',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}






class     lowerCamelCase_			(  _lowercase  ):
	_lowercase		:      Optional[Any]    				=							'''nystromformer'''




	def __init__(    self	:    Optional[Any]				,			__A	:    Optional[Any]=3_0000				,			__A	:    Optional[int]=768				,			__A	:    List[str]=12				,			__A	:    str=12				,			__A	:    Tuple=3072				,			__A	:    List[Any]="gelu_new"				,			__A	:    Dict=0.1				,			__A	:    Optional[int]=0.1				,			__A	:    int=510				,			__A	:    Union[str, Any]=2				,			__A	:    Optional[int]=64				,			__A	:    str=64				,			__A	:    List[str]=65				,			__A	:    Tuple=False				,			__A	:    List[str]=0.0_2				,			__A	:    Tuple=1e-5				,			__A	:    List[str]=1				,			__A	:    int=0				,			__A	:    Tuple=2				,			**__A	:    Dict				,			):
		__A   : str								= vocab_size
		__A   : Union[str, Any]								= max_position_embeddings
		__A   : Optional[int]								= hidden_size
		__A   : Optional[int]								= num_hidden_layers
		__A   : List[Any]								= num_attention_heads
		__A   : Dict								= intermediate_size
		__A   : Union[str, Any]								= hidden_act
		__A   : int								= hidden_dropout_prob
		__A   : Tuple								= attention_probs_dropout_prob
		__A   : Optional[Any]								= initializer_range
		__A   : int								= type_vocab_size
		__A   : Optional[int]								= segment_means_seq_len
		__A   : List[str]								= num_landmarks
		__A   : Dict								= conv_kernel_size
		__A   : Union[str, Any]								= inv_coeff_init_option
		__A   : Union[str, Any]								= layer_norm_eps
		super().__init__(pad_token_id=__A				,			bos_token_id=__A				,			eos_token_id=__A				,			**__A       )





