
'''simple docstring'''







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


_lowercase				:						List[str]												= ["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				:						str												= "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"
_lowercase				:						List[str]												= "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"
def       snake_case_	(       __SCREAMING_SNAKE_CASE      :				Optional[Any]   ,   __SCREAMING_SNAKE_CASE      :				Union[str, Any]							):



						"""simple docstring"""





						print(F'''Downloading and extracting {task}...'''							)
						lowercase_			:  Optional[Any]									= 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       snake_case_	(       __SCREAMING_SNAKE_CASE      :				Dict   ,   __SCREAMING_SNAKE_CASE      :				Any							):



						"""simple docstring"""





						print('''Processing MRPC...'''							)
						lowercase_			:  Optional[int]									= os.path.join(__SCREAMING_SNAKE_CASE   ,   '''MRPC'''							)
						if not os.path.isdir(__SCREAMING_SNAKE_CASE							):
												os.mkdir(__SCREAMING_SNAKE_CASE							)
						if path_to_data:
												lowercase_			:  Optional[Any]									= os.path.join(__SCREAMING_SNAKE_CASE   ,   '''msr_paraphrase_train.txt'''							)
												lowercase_			:  Optional[Any]									= os.path.join(__SCREAMING_SNAKE_CASE   ,   '''msr_paraphrase_test.txt'''							)
						else:
												print('''Local MRPC data not specified, downloading data from %s''' % MRPC_TRAIN							)
												lowercase_			:  Dict									= os.path.join(__SCREAMING_SNAKE_CASE   ,   '''msr_paraphrase_train.txt'''							)
												lowercase_			:  int									= 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'''							)							)

						lowercase_			:  Union[str, Any]									= []
						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:
												lowercase_			:  str									= data_fh.readline()
												train_fh.write(__SCREAMING_SNAKE_CASE							)
												dev_fh.write(__SCREAMING_SNAKE_CASE							)
												for row in data_fh:
																		lowercase_		,				lowercase_		,				lowercase_		,				lowercase_		,				lowercase_			:  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(__SCREAMING_SNAKE_CASE   ,   encoding='''utf8'''							) as data_fh, open(
						    os.path.join(__SCREAMING_SNAKE_CASE   ,   '''test.tsv'''							)   ,   '''w'''   ,   encoding='''utf8'''							) as test_fh:
												lowercase_			:  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(__SCREAMING_SNAKE_CASE							):
																		lowercase_		,				lowercase_		,				lowercase_		,				lowercase_		,				lowercase_			:  Tuple									= 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       snake_case_	(       __SCREAMING_SNAKE_CASE      :				int							):



						"""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'''							)							)
						lowercase_			:  Optional[Any]									= os.path.join(__SCREAMING_SNAKE_CASE   ,   '''diagnostic'''   ,   '''diagnostic.tsv'''							)
						urllib.request.urlretrieve(TASKaPATH['''diagnostic''']   ,   __SCREAMING_SNAKE_CASE							)
						print('''\tCompleted!'''							)
						return
def       snake_case_	(       __SCREAMING_SNAKE_CASE      :				Dict							):



						"""simple docstring"""





						lowercase_			:  int									= task_names.split(''','''							)
						if "all" in task_names:
												lowercase_			:  str									= TASKS
						else:
												lowercase_			:  List[str]									= []
												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       snake_case_	(       __SCREAMING_SNAKE_CASE      :				Tuple							):



						"""simple docstring"""





						lowercase_			:  Optional[Any]									= 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=''''''   ,   )
						lowercase_			:  List[Any]									= parser.parse_args(__SCREAMING_SNAKE_CASE							)

						if not os.path.isdir(args.data_dir							):
												os.mkdir(args.data_dir							)
						lowercase_			:  Dict									= 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'''







def       snake_case_	(       __SCREAMING_SNAKE_CASE      :				int = 998001							):



						"""simple docstring"""





						lowercase_			:  Dict									= 0
						for i in range(999   ,   99   ,   -1							):  # 3 digit numbers range from 999 down to 100
												for j in range(999   ,   99   ,   -1							):
																		lowercase_			:  int									= str(i * j							)
																		if product_string == product_string[::-1] and i * j < n:
																								lowercase_			:  str									= max(__SCREAMING_SNAKE_CASE   ,   i * j							)
						return answer


if __name__ == "__main__":
							print(f"""{solution() = }""")



