


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


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

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

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

   if not os.path.isdir(args.data_dir							):
      os.mkdir(args.data_dir							)
   UpperCAmelCase_				:   Any							= 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(__snake_case      ,							args.data_dir							)


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







"""simple docstring"""



import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device


if is_torch_available():
    import torch

    from transformers import XLMProphetNetForConditionalGeneration, XLMProphetNetTokenizer

@require_torch
class 			a	(  unittest.TestCase      ):







    @slow
    def      UpperCamelCase_ (     self			):
      lowercase				       =			XLMProphetNetForConditionalGeneration.from_pretrained('microsoft/xprophetnet-large-wiki100-cased'			)
      model.to(_lowerCamelCase			)

      # encoder-decoder outputs
      lowercase				       =			torch.tensor([[1_7, 9_6_2_0_8, 1_0_3_4_7_1, 2]]			).to(_lowerCamelCase			)
      lowercase				       =			torch.tensor(
          [[2, 2_5_0, 9_9_5_3, 3_4, 6_9_4_8_9, 1_6_2_0, 3_2, 1_1_8_4_2_4, 6_2_4, 2_1_0, 1_0_5, 2_9_1_3, 1_0_3_2, 3_5_1]]			).to(_lowerCamelCase			)
      lowercase				       =			model(
          input_ids=_lowerCamelCase				,						attention_mask=_lowerCamelCase				,						encoder_outputs=_lowerCamelCase				,						decoder_input_ids=_lowerCamelCase			)
      lowercase				       =			output[0]
      lowercase				       =			torch.Size((1, 1_4, 2_5_0_0_1_2)			)
      self.assertEqual(output_predited_logis.shape				,						_lowerCamelCase			)
      lowercase				       =			torch.tensor(
          [[[-6.3_9_8_6, -8.2_3_9_1, 1_2.5_1_8_9], [-6.3_2_8_9, -8.0_8_6_4, 1_2.6_2_1_1], [-6.2_4_1_8, -8.0_4_4_5, 1_2.7_9_6_8]]]			).to(_lowerCamelCase			)
      self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3]				,						_lowerCamelCase				,						atol=1e-4			)			)

      # encoder outputs
      lowercase				       =			model.prophetnet.encoder(_lowerCamelCase			)[0]
      lowercase				       =			torch.tensor(
          [[[-1.4_2_6_0, -0.7_6_2_8, 0.8_4_5_3], [-1.4_7_1_9, -0.1_3_9_1, 0.7_8_0_7], [-1.7_6_7_8, 0.0_1_1_4, 0.4_6_4_6]]]			).to(_lowerCamelCase			)
      lowercase				       =			torch.Size((1, 4, 1_0_2_4)			)
      self.assertEqual(encoder_outputs.shape				,						_lowerCamelCase			)
      self.assertTrue(torch.allclose(encoder_outputs[:, :3, :3]				,						_lowerCamelCase				,						atol=1e-4			)			)

      # decoder outputs
      lowercase				       =			model.prophetnet.decoder(
          _lowerCamelCase				,						encoder_hidden_states=_lowerCamelCase				,						)
      lowercase				       =			decoder_outputs[1].view(1				,						model.config.ngram				,						1_4				,						-1			)
      lowercase				       =			model.lm_head(_lowerCamelCase			)
      lowercase				       =			predicting_streams_logits[:, 0]
      self.assertTrue(torch.allclose(next_first_stream_logits[:, :3, :3]				,						_lowerCamelCase				,						atol=1e-4			)			)







    @slow
    def      UpperCamelCase_ (     self			):
      lowercase				       =			XLMProphetNetForConditionalGeneration.from_pretrained(
          'microsoft/xprophetnet-large-wiki100-cased-xglue-ntg'			)
      model.to(_lowerCamelCase			)

      lowercase				       =			torch.tensor([[1_7, 9_6_2_0_8, 1_0_3_4_7_1, 2]]			).to(_lowerCamelCase			)
      lowercase				       =			torch.tensor(
          [[2, 2_5_0, 9_9_5_3, 3_4, 6_9_4_8_9, 1_6_2_0, 3_2, 1_1_8_4_2_4, 6_2_4, 2_1_0, 1_0_5, 2_9_1_3, 1_0_3_2, 3_5_1]]			).to(_lowerCamelCase			)
      lowercase				       =			model(
          input_ids=_lowerCamelCase				,						attention_mask=_lowerCamelCase				,						encoder_outputs=_lowerCamelCase				,						decoder_input_ids=_lowerCamelCase			)
      lowercase				       =			output[0]
      lowercase				       =			torch.Size((1, 1_4, 2_5_0_0_1_2)			)
      self.assertEqual(output_predited_logis.shape				,						_lowerCamelCase			)
      # compare the actual values for a slice.
      lowercase				       =			torch.tensor(
          [[[-9.2_2_5_3, -9.7_1_7_3, -6.3_5_2_9], [-7.6_7_0_1, -9.0_1_4_5, -1.9_3_8_2], [-8.0_1_9_5, -7.0_0_0_4, -0.1_5_2_3]]]			).to(_lowerCamelCase			)

      self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3]				,						_lowerCamelCase				,						atol=1e-4			)			)







    @slow
    def      UpperCamelCase_ (     self			):
      lowercase				       =			XLMProphetNetForConditionalGeneration.from_pretrained(
          'microsoft/xprophetnet-large-wiki100-cased-xglue-ntg'			)
      model.to(_lowerCamelCase			)
      lowercase				       =			5_1_2

      lowercase				       =			XLMProphetNetTokenizer.from_pretrained('microsoft/xprophetnet-large-wiki100-cased-xglue-ntg'			)

      lowercase				       =			(
          'Microsoft Corporation intends to officially end free support for the Windows 7 operating system after'
          ' January 14, 2020, according to the official portal of the organization. From that day, users of this'
          ' system will not be able to receive security updates, which could make their computers vulnerable to'
          ' cyber attacks.'
      )
      lowercase				       =			(
          'орпорация Microsoft намерена официально прекратить бесплатную поддержку операционной системы Windows 7'
          ' после 14 января 2020 года, сообщается на официальном портале организации . С указанного дня пользователи'
          ' этой системы не смогут получать обновления безопасности, из-за чего их компьютеры могут стать уязвимыми'
          ' к кибератакам.'
      )
      lowercase				       =			(
          '根据该组织的官方门户网站，微软公司打算在2020年1月14日之后正式终止对Windows 7操作系统的免费支持。从那时起，该系统的用户将无法接收安全更新，这可能会使他们的计算机容易受到网络攻击。'
      )

      lowercase				       =			tokenizer(
          [EN_SENTENCE, RU_SENTENCE, ZH_SENTENCE]				,						padding=_lowerCamelCase				,						max_length=2_5_5				,						return_tensors='pt'			).input_ids
      lowercase				       =			input_ids.to(_lowerCamelCase			)

      lowercase				       =			model.generate(
          _lowerCamelCase				,						num_beams=1_0				,						length_penalty=1.0				,						no_repeat_ngram_size=3				,						early_stopping=_lowerCamelCase			)
      lowercase				       =			[tokenizer.decode(_lowerCamelCase				,						skip_special_tokens=_lowerCamelCase			) for g in summary_ids]
      lowercase				       =			'Microsoft to end Windows 7 free support after January 14, 2020'
      lowercase				       =			'Microsoft намерена прекратить бесплатную поддержку Windows 7 после 14 января 2020 года'
      lowercase				       =			'微软打算终止对Windows 7操作系统的免费支持'
      self.assertListEqual(
          [EXPECTED_TITLE_EN, EXPECTED_TITLE_RU, EXPECTED_TITLE_ZH]				,						_lowerCamelCase				,						)

      lowercase				       =			model.generate(
          _lowerCamelCase				,						num_beams=1				,						length_penalty=1.0				,						no_repeat_ngram_size=3				,						early_stopping=_lowerCamelCase			)
      lowercase				       =			[
          tokenizer.convert_ids_to_tokens(_lowerCamelCase				,						skip_special_tokens=_lowerCamelCase			) for g in summary_ids_beama
      ]
      lowercase				       =			'▁Microsoft ▁to ▁end ▁free ▁support ▁for ▁Windows ▁7'.split(' '			)
      lowercase				       =			'▁Microsoft ▁намерен а ▁прекрати ть ▁бес плат ную ▁поддержку ▁Windows ▁7 ▁после ▁14 ▁января ▁2020 ▁года'.split(
          ' '			)
      lowercase				       =			'微软 公司 打算 终止 对 Windows ▁7 操作 系统的 免费 支持'.split(' '			)
      self.assertListEqual(
          [EXPECTED_TITLE_EN_BEAM1_TOK, EXPECTED_TITLE_RU_BEAM1_TOK, EXPECTED_TITLE_ZH_BEAM1_TOK]				,						_lowerCamelCase				,						)


