
"""simple docstring"""

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


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

_A				=					'https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'
_A				=					'https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'
def 						UpperCAmelCase   (						a_,		a_     ):





		'''simple docstring'''


		print(F"""Downloading and extracting {task}..."""     )
		lowerCamelCase	:     int            =       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 						UpperCAmelCase   (						a_,		a_     ):





		'''simple docstring'''


		print('Processing MRPC...'     )
		lowerCamelCase	:     Tuple            =       os.path.join(a_,		'MRPC'     )
		if not os.path.isdir(a_     ):
				os.mkdir(a_     )
		if path_to_data:
				lowerCamelCase	:     List[Any]            =       os.path.join(a_,		'msr_paraphrase_train.txt'     )
				lowerCamelCase	:     Dict            =       os.path.join(a_,		'msr_paraphrase_test.txt'     )
		else:
				print('Local MRPC data not specified, downloading data from %s' % MRPC_TRAIN     )
				lowerCamelCase	:     List[str]            =       os.path.join(a_,		'msr_paraphrase_train.txt'     )
				lowerCamelCase	:     str            =       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'     )     )

		lowerCamelCase	:     List[Any]            =       []
		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:
				lowerCamelCase	:     Tuple            =       data_fh.readline()
				train_fh.write(a_     )
				dev_fh.write(a_     )
				for row in data_fh:
						lowerCamelCase      ,       lowerCamelCase      ,       lowerCamelCase      ,       lowerCamelCase      ,       lowerCamelCase	:     Optional[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:
				lowerCamelCase	:     str            =       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_     ):
						lowerCamelCase      ,       lowerCamelCase      ,       lowerCamelCase      ,       lowerCamelCase      ,       lowerCamelCase	:     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 						UpperCAmelCase   (						a_     ):





		'''simple docstring'''


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





		'''simple docstring'''


		lowerCamelCase	:     Dict            =       task_names.split(','     )
		if "all" in task_names:
				lowerCamelCase	:     Any            =       TASKS
		else:
				lowerCamelCase	:     Optional[Any]            =       []
				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 						UpperCAmelCase   (						a_     ):





		'''simple docstring'''


		lowerCamelCase	:     Tuple            =       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='',		)
		lowerCamelCase	:     Union[str, Any]            =       parser.parse_args(a_     )

		if not os.path.isdir(args.data_dir     ):
				os.mkdir(args.data_dir     )
		lowerCamelCase	:     int            =       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:]))








"""simple docstring"""

import sys

from transformers import AutoTokenizer


_A				=					sys.argv[1]
_A				=					sys.argv[2]
_A				=					int(sys.argv[3])

_A				=					0

_A				=					AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, 'rt') as f_p:
					for line in f_p:
										_A				=					line.rstrip()

										if not line:
															print(line)
															_A				=					0
															continue

										_A				=					line.split()[0]

										_A				=					len(tokenizer.tokenize(token))

										# Token contains strange control characters like \x96 or \x95
										# Just filter out the complete line
										if current_subwords_len == 0:
															continue

										if (subword_len_counter + current_subwords_len) > max_len:
															print('')
															print(line)
															_A				=					current_subwords_len
															continue

										subword_len_counter += current_subwords_len

										print(line)






