





import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_snake_case				= logging.get_logger(__name__)

_snake_case				= {
    """src_vocab_file""": """vocab-src.json""",
    """tgt_vocab_file""": """vocab-tgt.json""",
    """merges_file""": """merges.txt""",
}

_snake_case				= {
    """src_vocab_file""": {
        """stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"""
    },
    """tgt_vocab_file""": {
        """stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"""
    },
    """merges_file""": {"""stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"""},
}

_snake_case				= {"""stas/tiny-wmt19-en-de""": 1024}
_snake_case				= {
    """stas/tiny-wmt19-en-de""": {
        """langs""": ["""en""", """de"""],
        """model_max_length""": 1024,
        """special_tokens_map_file""": None,
        """full_tokenizer_file""": None,
    }
}


def _A   (    __magic_name__       ):
   lowercase__    =  set()
   lowercase__    =  word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)       )
      lowercase__    =  char
   return pairs


def _A   (    __magic_name__       ):
   lowercase__    =  text.replace("，"  ,					","       )
   lowercase__    =  re.sub(R"。\s*"  ,					". "  ,					__magic_name__       )
   lowercase__    =  text.replace("、"  ,					","       )
   lowercase__    =  text.replace("”"  ,					"\""       )
   lowercase__    =  text.replace("“"  ,					"\""       )
   lowercase__    =  text.replace("∶"  ,					":"       )
   lowercase__    =  text.replace("："  ,					":"       )
   lowercase__    =  text.replace("？"  ,					"?"       )
   lowercase__    =  text.replace("《"  ,					"\""       )
   lowercase__    =  text.replace("》"  ,					"\""       )
   lowercase__    =  text.replace("）"  ,					")"       )
   lowercase__    =  text.replace("！"  ,					"!"       )
   lowercase__    =  text.replace("（"  ,					"("       )
   lowercase__    =  text.replace("；"  ,					";"       )
   lowercase__    =  text.replace("１"  ,					"1"       )
   lowercase__    =  text.replace("」"  ,					"\""       )
   lowercase__    =  text.replace("「"  ,					"\""       )
   lowercase__    =  text.replace("０"  ,					"0"       )
   lowercase__    =  text.replace("３"  ,					"3"       )
   lowercase__    =  text.replace("２"  ,					"2"       )
   lowercase__    =  text.replace("５"  ,					"5"       )
   lowercase__    =  text.replace("６"  ,					"6"       )
   lowercase__    =  text.replace("９"  ,					"9"       )
   lowercase__    =  text.replace("７"  ,					"7"       )
   lowercase__    =  text.replace("８"  ,					"8"       )
   lowercase__    =  text.replace("４"  ,					"4"       )
   lowercase__    =  re.sub(R"．\s*"  ,					". "  ,					__magic_name__       )
   lowercase__    =  text.replace("～"  ,					"~"       )
   lowercase__    =  text.replace("’"  ,					"'"       )
   lowercase__    =  text.replace("…"  ,					"..."       )
   lowercase__    =  text.replace("━"  ,					"-"       )
   lowercase__    =  text.replace("〈"  ,					"<"       )
   lowercase__    =  text.replace("〉"  ,					">"       )
   lowercase__    =  text.replace("【"  ,					"["       )
   lowercase__    =  text.replace("】"  ,					"]"       )
   lowercase__    =  text.replace("％"  ,					"%"       )
   return text


def _A   (    __magic_name__       ):
   lowercase__    =  []
   for char in text:
      lowercase__    =  unicodedata.category(__magic_name__       )
      if cat.startswith("C"       ):
         continue
      output.append(__magic_name__       )
   return "".join(__magic_name__       )







class 					lowerCAmelCase							(   lowercase_					):
  __lowerCamelCase		=			VOCAB_FILES_NAMES
  __lowerCamelCase		=			PRETRAINED_VOCAB_FILES_MAP
  __lowerCamelCase		=			PRETRAINED_INIT_CONFIGURATION
  __lowerCamelCase		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCamelCase		=			['input_ids', 'attention_mask']







  def __init__(			self  :str    ,							_lowercase  :Any=None    ,							_lowercase  :List[str]=None    ,							_lowercase  :List[Any]=None    ,							_lowercase  :int=None    ,							_lowercase  :Any=False    ,							_lowercase  :int="<unk>"    ,							_lowercase  :Tuple="<s>"    ,							_lowercase  :Union[str, Any]="</s>"    ,							_lowercase  :List[str]="<pad>"    ,							**_lowercase  :int    ,							):






     '''simple docstring'''





     super().__init__(
         langs=_lowercase    ,							src_vocab_file=_lowercase    ,							tgt_vocab_file=_lowercase    ,							merges_file=_lowercase    ,							do_lower_case=_lowercase    ,							unk_token=_lowercase    ,							bos_token=_lowercase    ,							sep_token=_lowercase    ,							pad_token=_lowercase    ,							**_lowercase    ,							)

     try:
        import sacremoses
     except ImportError:
        raise ImportError(
            "You need to install sacremoses to use XLMTokenizer. "
            "See https://pypi.org/project/sacremoses/ for installation."					)

     lowercase__    =  sacremoses

     lowercase__    =  src_vocab_file
     lowercase__    =  tgt_vocab_file
     lowercase__    =  merges_file
     lowercase__    =  do_lower_case

     # cache of sm.MosesPunctNormalizer instance
     lowercase__    =  {}
     # cache of sm.MosesTokenizer instance
     lowercase__    =  {}
     lowercase__    =  {}

     if langs and len(_lowercase					) == 2:
        lowercase__   ,							lowercase__    =  langs
     else:
        raise ValueError(
            f'''arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '''
            "Usually that means that tokenizer can't find a mapping for the given model path "
            "in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer."					)

     with open(_lowercase    ,							encoding="utf-8"					) as src_vocab_handle:
        lowercase__    =  json.load(_lowercase					)
     with open(_lowercase    ,							encoding="utf-8"					) as tgt_vocab_handle:
        lowercase__    =  json.load(_lowercase					)
        lowercase__    =  {v: k for k, v in tgt_vocab.items()}
     with open(_lowercase    ,							encoding="utf-8"					) as merges_handle:
        lowercase__    =  merges_handle.read().split("\n"					)[:-1]
     lowercase__    =  [tuple(merge.split()[:2]					) for merge in merges]
     lowercase__    =  dict(zip(_lowercase    ,							range(len(_lowercase					)					)					)					)
     lowercase__    =  {}







  def   UpperCAmelCase     (			self  :Any					):






     '''simple docstring'''





     return self.get_src_vocab()







  @property
  def   UpperCAmelCase     (			self  :Tuple					):






     '''simple docstring'''





     return self.src_vocab_size







  def   UpperCAmelCase     (			self  :Optional[int]    ,							_lowercase  :Union[str, Any]    ,							_lowercase  :Union[str, Any]					):






     '''simple docstring'''





     if lang not in self.cache_moses_punct_normalizer:
        lowercase__    =  self.sm.MosesPunctNormalizer(lang=_lowercase					)
        lowercase__    =  punct_normalizer
     return self.cache_moses_punct_normalizer[lang].normalize(_lowercase					)







  def   UpperCAmelCase     (			self  :Optional[Any]    ,							_lowercase  :Tuple    ,							_lowercase  :str					):






     '''simple docstring'''





     if lang not in self.cache_moses_tokenizer:
        lowercase__    =  self.sm.MosesTokenizer(lang=_lowercase					)
        lowercase__    =  moses_tokenizer
     return self.cache_moses_tokenizer[lang].tokenize(
         _lowercase    ,							aggressive_dash_splits=_lowercase    ,							return_str=_lowercase    ,							escape=_lowercase					)







  def   UpperCAmelCase     (			self  :List[str]    ,							_lowercase  :Tuple    ,							_lowercase  :int					):






     '''simple docstring'''





     if lang not in self.cache_moses_detokenizer:
        lowercase__    =  self.sm.MosesDetokenizer(lang=_lowercase					)
        lowercase__    =  moses_detokenizer
     return self.cache_moses_detokenizer[lang].detokenize(_lowercase					)







  def   UpperCAmelCase     (			self  :Any    ,							_lowercase  :Tuple    ,							_lowercase  :int					):






     '''simple docstring'''





     lowercase__    =  replace_unicode_punct(_lowercase					)
     lowercase__    =  self.moses_punct_norm(_lowercase    ,							_lowercase					)
     lowercase__    =  remove_non_printing_char(_lowercase					)
     return text







  @property
  def   UpperCAmelCase     (			self  :Union[str, Any]					):






     '''simple docstring'''





     return len(self.encoder					)







  @property
  def   UpperCAmelCase     (			self  :int					):






     '''simple docstring'''





     return len(self.decoder					)







  def   UpperCAmelCase     (			self  :List[Any]					):






     '''simple docstring'''





     return dict(self.encoder    ,							**self.added_tokens_encoder					)







  def   UpperCAmelCase     (			self  :str					):






     '''simple docstring'''





     return dict(self.decoder    ,							**self.added_tokens_decoder					)







  def   UpperCAmelCase     (			self  :str    ,							_lowercase  :str					):






     '''simple docstring'''





     lowercase__    =  tuple(token[:-1]					) + (token[-1] + "</w>",)
     if token in self.cache:
        return self.cache[token]
     lowercase__    =  get_pairs(_lowercase					)

     if not pairs:
        return token + "</w>"

     while True:
        lowercase__    =  min(_lowercase    ,							key=lambda _lowercase					: self.bpe_ranks.get(_lowercase    ,							float("inf"					)					)					)
        if bigram not in self.bpe_ranks:
           break
        lowercase__   ,							lowercase__    =  bigram
        lowercase__    =  []
        lowercase__    =  0
        while i < len(_lowercase					):
           try:
              lowercase__    =  word.index(_lowercase    ,							_lowercase					)
           except ValueError:
              new_word.extend(word[i:]					)
              break
           else:
              new_word.extend(word[i:j]					)
              lowercase__    =  j

           if word[i] == first and i < len(_lowercase					) - 1 and word[i + 1] == second:
              new_word.append(first + second					)
              i += 2
           else:
              new_word.append(word[i]					)
              i += 1
        lowercase__    =  tuple(_lowercase					)
        lowercase__    =  new_word
        if len(_lowercase					) == 1:
           break
        else:
           lowercase__    =  get_pairs(_lowercase					)
     lowercase__    =  " ".join(_lowercase					)
     if word == "\n  </w>":
        lowercase__    =  "\n</w>"
     lowercase__    =  word
     return word







  def   UpperCAmelCase     (			self  :Tuple    ,							_lowercase  :Optional[Any]    ,							_lowercase  :Union[str, Any]="en"    ,							_lowercase  :Any=False					):






     '''simple docstring'''





     lowercase__    =  self.src_lang

     if self.do_lower_case:
        lowercase__    =  text.lower()

     if bypass_tokenizer:
        lowercase__    =  text.split()
     else:
        lowercase__    =  self.moses_pipeline(_lowercase    ,							lang=_lowercase					)
        lowercase__    =  self.moses_tokenize(_lowercase    ,							lang=_lowercase					)

     lowercase__    =  []
     for token in text:
        if token:
           split_tokens.extend(list(self.bpe(_lowercase					).split(" "					)					)					)

     return split_tokens







  def   UpperCAmelCase     (			self  :Dict    ,							_lowercase  :List[Any]					):






     '''simple docstring'''





     return self.encoder.get(_lowercase    ,							self.encoder.get(self.unk_token					)					)







  def   UpperCAmelCase     (			self  :Tuple    ,							_lowercase  :Dict					):






     '''simple docstring'''





     return self.decoder.get(_lowercase    ,							self.unk_token					)







  def   UpperCAmelCase     (			self  :Dict    ,							_lowercase  :Optional[int]					):






     '''simple docstring'''





     lowercase__    =  [t.replace(" "    ,							""					).replace("</w>"    ,							" "					) for t in tokens]
     lowercase__    =  "".join(_lowercase					).split()
     # detokenize
     lowercase__    =  self.moses_detokenize(_lowercase    ,							self.tgt_lang					)
     return text







  def   UpperCAmelCase     (			self  :List[str]    ,							_lowercase  :List[int]    ,							_lowercase  :Optional[List[int]] = None					):






     '''simple docstring'''





     lowercase__    =  [self.sep_token_id]

     # no bos used in fairseq
     if token_ids_a is None:
        return token_ids_a + sep
     return token_ids_a + sep + token_ids_a + sep







  def   UpperCAmelCase     (			self  :Tuple    ,							_lowercase  :List[int]    ,							_lowercase  :Optional[List[int]] = None    ,							_lowercase  :bool = False					):






     '''simple docstring'''





     if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=_lowercase    ,							token_ids_a=_lowercase    ,							already_has_special_tokens=_lowercase					)
     # no bos used in fairseq
     if token_ids_a is not None:
        return ([0] * len(_lowercase					)) + [1] + ([0] * len(_lowercase					)) + [1]
     return ([0] * len(_lowercase					)) + [1]







  def   UpperCAmelCase     (			self  :List[str]    ,							_lowercase  :List[int]    ,							_lowercase  :Optional[List[int]] = None					):






     '''simple docstring'''





     lowercase__    =  [self.sep_token_id]

     # no bos used in fairseq
     if token_ids_a is None:
        return len(token_ids_a + sep					) * [0]
     return len(token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]







  def   UpperCAmelCase     (			self  :Union[str, Any]    ,							_lowercase  :str    ,							_lowercase  :Optional[str] = None					):






     '''simple docstring'''





     if not os.path.isdir(_lowercase					):
        logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
        return

     lowercase__    =  os.path.join(
         _lowercase    ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["src_vocab_file"]					)
     lowercase__    =  os.path.join(
         _lowercase    ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["tgt_vocab_file"]					)
     lowercase__    =  os.path.join(
         _lowercase    ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]					)

     with open(_lowercase    ,							"w"    ,							encoding="utf-8"					) as f:
        f.write(json.dumps(self.encoder    ,							indent=2    ,							sort_keys=_lowercase    ,							ensure_ascii=_lowercase					) + "\n"					)

     with open(_lowercase    ,							"w"    ,							encoding="utf-8"					) as f:
        lowercase__    =  {v: k for k, v in self.decoder.items()}
        f.write(json.dumps(_lowercase    ,							indent=2    ,							sort_keys=_lowercase    ,							ensure_ascii=_lowercase					) + "\n"					)

     lowercase__    =  0
     with open(_lowercase    ,							"w"    ,							encoding="utf-8"					) as writer:
        for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,							key=lambda _lowercase					: kv[1]					):
           if index != token_index:
              logger.warning(
                  f'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
                  " Please check that the tokenizer is not corrupted!"					)
              lowercase__    =  token_index
           writer.write(" ".join(_lowercase					) + "\n"					)
           index += 1

     return src_vocab_file, tgt_vocab_file, merges_file







  def __getstate__(			self  :Any					):






     '''simple docstring'''





     lowercase__    =  self.__dict__.copy()
     lowercase__    =  None
     return state







  def __setstate__(			self  :Optional[int]    ,							_lowercase  :Tuple					):






     '''simple docstring'''





     lowercase__    =  d

     try:
        import sacremoses
     except ImportError:
        raise ImportError(
            "You need to install sacremoses to use XLMTokenizer. "
            "See https://pypi.org/project/sacremoses/ for installation."					)

     lowercase__    =  sacremoses













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


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

_snake_case				= """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
_snake_case				= """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""


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


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

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

   with open(__magic_name__  ,					encoding="utf8"       ) as data_fh, open(
       os.path.join(__magic_name__  ,					"train.tsv"       )  ,					"w"  ,					encoding="utf8"       ) as train_fh, open(os.path.join(__magic_name__  ,					"dev.tsv"       )  ,					"w"  ,					encoding="utf8"       ) as dev_fh:
      lowercase__    =  data_fh.readline()
      train_fh.write(__magic_name__       )
      dev_fh.write(__magic_name__       )
      for row in data_fh:
         lowercase__   ,							lowercase__   ,							lowercase__   ,							lowercase__   ,							lowercase__    =  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(__magic_name__  ,					encoding="utf8"       ) as data_fh, open(
       os.path.join(__magic_name__  ,					"test.tsv"       )  ,					"w"  ,					encoding="utf8"       ) as test_fh:
      lowercase__    =  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(__magic_name__       ):
         lowercase__   ,							lowercase__   ,							lowercase__   ,							lowercase__   ,							lowercase__    =  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 _A   (    __magic_name__       ):
   print("Downloading and extracting diagnostic..."       )
   if not os.path.isdir(os.path.join(__magic_name__  ,					"diagnostic"       )       ):
      os.mkdir(os.path.join(__magic_name__  ,					"diagnostic"       )       )
   lowercase__    =  os.path.join(__magic_name__  ,					"diagnostic"  ,					"diagnostic.tsv"       )
   urllib.request.urlretrieve(TASKaPATH["diagnostic"]  ,					__magic_name__       )
   print("\tCompleted!"       )
   return


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


def _A   (    __magic_name__       ):
   lowercase__    =  argparse.ArgumentParser()
   parser.add_argument("--data_dir"  ,					help="directory to save data to"  ,					type=__magic_name__  ,					default="glue_data"       )
   parser.add_argument(
       "--tasks"  ,					help="tasks to download data for as a comma separated string"  ,					type=__magic_name__  ,					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=__magic_name__  ,					default=""  ,					)
   lowercase__    =  parser.parse_args(__magic_name__       )

   if not os.path.isdir(args.data_dir       ):
      os.mkdir(args.data_dir       )
   lowercase__    =  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(__magic_name__  ,					args.data_dir       )


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






