

import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation

SCREAMING_SNAKE_CASE		:List[str]				  =    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE		:List[Any]				  =    {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

SCREAMING_SNAKE_CASE		:Optional[Any]				  =    {
    """vocab_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/vocab.json""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/vocab.json""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/vocab.json""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/vocab.json""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/merges.txt""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/merges.txt""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/merges.txt""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/merges.txt""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/merges.txt""",
    },
}

SCREAMING_SNAKE_CASE		:Any				  =    {
    """gpt2""": 1024,
    """gpt2-medium""": 1024,
    """gpt2-large""": 1024,
    """gpt2-xl""": 1024,
    """distilgpt2""": 1024,
}




@lru_cache()
def  lowerCAmelCase(			)->	List[str]:



    """simple docstring"""






    UpperCamelCase_      =	(
        list(range(ord("!" ) ,	ord("~" ) + 1 ) ) + list(range(ord("¡" ) ,	ord("¬" ) + 1 ) ) + list(range(ord("®" ) ,	ord("ÿ" ) + 1 ) )
    )
    UpperCamelCase_      =	bs[:]
    UpperCamelCase_      =	0
    for b in range(2**8 ):
        if b not in bs:
            bs.append(SCREAMING_SNAKE_CASE_ )
            cs.append(2**8 + n )
            n += 1
    UpperCamelCase_      =	[chr(SCREAMING_SNAKE_CASE_ ) for n in cs]
    return dict(zip(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ) )




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	Tuple:



    """simple docstring"""






    UpperCamelCase_      =	set()
    UpperCamelCase_      =	word[0]
    for char in word[1:]:
        pairs.add((prev_char, char) )
        UpperCamelCase_      =	char
    return pairs






class 	__magic_name__				(       snake_case							):
     UpperCamelCase_  :Optional[int]								=			VOCAB_FILES_NAMES
     UpperCamelCase_  :Any								=			PRETRAINED_VOCAB_FILES_MAP
     UpperCamelCase_  :Tuple								=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCamelCase_  :Tuple								=			["""input_ids""", """attention_mask"""]






     def __init__(							self		,	_lowercase		,	_lowercase		,	_lowercase="replace"		,	_lowercase="<|endoftext|>"		,	_lowercase="<|endoftext|>"		,	_lowercase="<|endoftext|>"		,	_lowercase=None		,	_lowercase=False		,	_lowercase=False		,	**_lowercase		,	)->    str:
         UpperCamelCase_      =	AddedToken(_lowercase		,	lstrip=_lowercase		,	rstrip=_lowercase  ) if isinstance(_lowercase		,	_lowercase  ) else bos_token
         UpperCamelCase_      =	AddedToken(_lowercase		,	lstrip=_lowercase		,	rstrip=_lowercase  ) if isinstance(_lowercase		,	_lowercase  ) else eos_token
         UpperCamelCase_      =	AddedToken(_lowercase		,	lstrip=_lowercase		,	rstrip=_lowercase  ) if isinstance(_lowercase		,	_lowercase  ) else unk_token
         UpperCamelCase_      =	AddedToken(_lowercase		,	lstrip=_lowercase		,	rstrip=_lowercase  ) if isinstance(_lowercase		,	_lowercase  ) else pad_token
         super().__init__(
             errors=_lowercase		,	unk_token=_lowercase		,	bos_token=_lowercase		,	eos_token=_lowercase		,	pad_token=_lowercase		,	add_prefix_space=_lowercase		,	add_bos_token=_lowercase		,	**_lowercase		,	)
         UpperCamelCase_      =	add_bos_token

         with open(_lowercase		,	encoding="utf-8"  ) as vocab_handle:
             UpperCamelCase_      =	json.load(_lowercase  )
         UpperCamelCase_      =	{v: k for k, v in self.encoder.items()}
         UpperCamelCase_      =	errors  # how to handle errors in decoding
         UpperCamelCase_      =	bytes_to_unicode()
         UpperCamelCase_      =	{v: k for k, v in self.byte_encoder.items()}
         with open(_lowercase		,	encoding="utf-8"  ) as merges_handle:
             UpperCamelCase_      =	merges_handle.read().split("\n"  )[1:-1]
         UpperCamelCase_      =	[tuple(merge.split()  ) for merge in bpe_merges]
         UpperCamelCase_      =	dict(zip(_lowercase		,	range(len(_lowercase  )  )  )  )
         UpperCamelCase_      =	{}
         UpperCamelCase_      =	add_prefix_space

         # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
         UpperCamelCase_      =	re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"  )






     @property
     def   UpperCAmelCase_							(							self  )->    int:
         return len(self.encoder  )






     def   UpperCAmelCase_							(							self  )->    List[str]:
         return dict(self.encoder		,	**self.added_tokens_encoder  )






     def   UpperCAmelCase_							(							self		,	_lowercase  )->    Dict:
         if token in self.cache:
             return self.cache[token]
         UpperCamelCase_      =	tuple(_lowercase  )
         UpperCamelCase_      =	get_pairs(_lowercase  )

         if not pairs:
             return token

         while True:
             UpperCamelCase_      =	min(_lowercase		,	key=lambda _lowercase  : self.bpe_ranks.get(_lowercase		,	float("inf"  )  )  )
             if bigram not in self.bpe_ranks:
                 break
             UpperCamelCase_     ,					UpperCamelCase_      =	bigram
             UpperCamelCase_      =	[]
             UpperCamelCase_      =	0
             while i < len(_lowercase  ):
                 try:
                     UpperCamelCase_      =	word.index(_lowercase		,	_lowercase  )
                 except ValueError:
                     new_word.extend(word[i:]  )
                     break
                 else:
                     new_word.extend(word[i:j]  )
                     UpperCamelCase_      =	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
             UpperCamelCase_      =	tuple(_lowercase  )
             UpperCamelCase_      =	new_word
             if len(_lowercase  ) == 1:
                 break
             else:
                 UpperCamelCase_      =	get_pairs(_lowercase  )
         UpperCamelCase_      =	" ".join(_lowercase  )
         UpperCamelCase_      =	word
         return word






     def   UpperCAmelCase_							(							self		,	_lowercase		,	_lowercase=None  )->    List[Any]:
         if self.add_bos_token:
             UpperCamelCase_      =	[self.bos_token_id]
         else:
             UpperCamelCase_      =	[]

         UpperCamelCase_      =	bos_token_ids + token_ids_a

         if token_ids_a is None:
             return output

         return output + bos_token_ids + token_ids_a






     def   UpperCAmelCase_							(							self		,	_lowercase		,	_lowercase = None		,	_lowercase = False  )->    List[int]:
         if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=_lowercase		,	token_ids_a=_lowercase		,	already_has_special_tokens=_lowercase  )

         if not self.add_bos_token:
             return super().get_special_tokens_mask(
                 token_ids_a=_lowercase		,	token_ids_a=_lowercase		,	already_has_special_tokens=_lowercase  )

         if token_ids_a is None:
             return [1] + ([0] * len(_lowercase  ))
         return [1] + ([0] * len(_lowercase  )) + [1] + ([0] * len(_lowercase  ))






     def   UpperCAmelCase_							(							self		,	_lowercase  )->    List[Any]:
         UpperCamelCase_      =	[]
         for token in re.findall(self.pat		,	_lowercase  ):
             UpperCamelCase_      =	"".join(
                 self.byte_encoder[b] for b in token.encode("utf-8"  )  )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
             bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_lowercase  ).split(" "  )  )
         return bpe_tokens






     def   UpperCAmelCase_							(							self		,	_lowercase  )->    str:
         return self.encoder.get(_lowercase		,	self.encoder.get(self.unk_token  )  )






     def   UpperCAmelCase_							(							self		,	_lowercase  )->    Any:
         return self.decoder.get(_lowercase  )






     def   UpperCAmelCase_							(							self		,	_lowercase  )->    List[str]:
         UpperCamelCase_      =	"".join(_lowercase  )
         UpperCamelCase_      =	bytearray([self.byte_decoder[c] for c in text]  ).decode("utf-8"		,	errors=self.errors  )
         return text






     def   UpperCAmelCase_							(							self		,	_lowercase		,	_lowercase = None  )->    Tuple[str]:
         if not os.path.isdir(_lowercase  ):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"  )
             return
         UpperCamelCase_      =	os.path.join(
             _lowercase		,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )
         UpperCamelCase_      =	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"  )

         UpperCamelCase_      =	0
         with open(_lowercase		,	"w"		,	encoding="utf-8"  ) as writer:
             writer.write("#version: 0.2\n"  )
             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 {merge_file}: BPE merge indices are not consecutive."
                         " Please check that the tokenizer is not corrupted!"  )
                     UpperCamelCase_      =	token_index
                 writer.write(" ".join(_lowercase  ) + "\n"  )
                 index += 1

         return vocab_file, merge_file






     def   UpperCAmelCase_							(							self		,	_lowercase		,	_lowercase=False		,	**_lowercase  )->    Optional[Any]:
         UpperCamelCase_      =	kwargs.pop("add_prefix_space"		,	self.add_prefix_space  )
         if is_split_into_words or add_prefix_space:
             UpperCamelCase_      =	" " + text
         return (text, kwargs)






     def   UpperCAmelCase_							(							self		,	_lowercase  )->    List[int]:
         UpperCamelCase_      =	[]
         for is_user, text in conversation.iter_texts():
             input_ids.extend(self.encode(_lowercase		,	add_special_tokens=_lowercase  ) + [self.eos_token_id]  )
         if len(_lowercase  ) > self.model_max_length:
             UpperCamelCase_      =	input_ids[-self.model_max_length :]
         return input_ids



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


SCREAMING_SNAKE_CASE		:List[Any]				  =    ["""CoLA""", """SST""", """MRPC""", """QQP""", """STS""", """MNLI""", """SNLI""", """QNLI""", """RTE""", """WNLI""", """diagnostic"""]
SCREAMING_SNAKE_CASE		:List[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""",
}

SCREAMING_SNAKE_CASE		:str				  =    """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"""
SCREAMING_SNAKE_CASE		:int				  =    """https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"""




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	Tuple:



    """simple docstring"""






    print(f"Downloading and extracting {task}..." )
    UpperCamelCase_      =	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  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	Optional[Any]:



    """simple docstring"""






    print("Processing MRPC..." )
    UpperCamelCase_      =	os.path.join(SCREAMING_SNAKE_CASE_ ,	"MRPC" )
    if not os.path.isdir(SCREAMING_SNAKE_CASE_ ):
        os.mkdir(SCREAMING_SNAKE_CASE_ )
    if path_to_data:
        UpperCamelCase_      =	os.path.join(SCREAMING_SNAKE_CASE_ ,	"msr_paraphrase_train.txt" )
        UpperCamelCase_      =	os.path.join(SCREAMING_SNAKE_CASE_ ,	"msr_paraphrase_test.txt" )
    else:
        print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN )
        UpperCamelCase_      =	os.path.join(SCREAMING_SNAKE_CASE_ ,	"msr_paraphrase_train.txt" )
        UpperCamelCase_      =	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" ) )

    UpperCamelCase_      =	[]
    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:
        UpperCamelCase_      =	data_fh.readline()
        train_fh.write(SCREAMING_SNAKE_CASE_ )
        dev_fh.write(SCREAMING_SNAKE_CASE_ )
        for row in data_fh:
            UpperCamelCase_     ,					UpperCamelCase_     ,					UpperCamelCase_     ,					UpperCamelCase_     ,					UpperCamelCase_      =	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:
        UpperCamelCase_      =	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_ ):
            UpperCamelCase_     ,					UpperCamelCase_     ,					UpperCamelCase_     ,					UpperCamelCase_     ,					UpperCamelCase_      =	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  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	Tuple:



    """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" ) )
    UpperCamelCase_      =	os.path.join(SCREAMING_SNAKE_CASE_ ,	"diagnostic" ,	"diagnostic.tsv" )
    urllib.request.urlretrieve(TASKaPATH["diagnostic"] ,	SCREAMING_SNAKE_CASE_ )
    print("\tCompleted!" )
    return




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	Any:



    """simple docstring"""






    UpperCamelCase_      =	task_names.split("," )
    if "all" in task_names:
        UpperCamelCase_      =	TASKS
    else:
        UpperCamelCase_      =	[]
        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  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	int:



    """simple docstring"""






    UpperCamelCase_      =	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="" ,	)
    UpperCamelCase_      =	parser.parse_args(SCREAMING_SNAKE_CASE_ )

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