



'''simple docstring'''




import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_deberta import DebertaTokenizer


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation


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

UpperCamelCase__	:     Any    =			{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCamelCase__	:     str    =			{
    '''vocab_file''': {
        '''microsoft/deberta-base''': '''https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json''',
        '''microsoft/deberta-large''': '''https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json''',
        '''microsoft/deberta-xlarge''': '''https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json''',
        '''microsoft/deberta-base-mnli''': '''https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json''',
        '''microsoft/deberta-large-mnli''': '''https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json''',
        '''microsoft/deberta-xlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''microsoft/deberta-base''': '''https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt''',
        '''microsoft/deberta-large''': '''https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt''',
        '''microsoft/deberta-xlarge''': '''https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt''',
        '''microsoft/deberta-base-mnli''': '''https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt''',
        '''microsoft/deberta-large-mnli''': '''https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt''',
        '''microsoft/deberta-xlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'''
        ),
    },
}

UpperCamelCase__	:     Optional[Any]    =			{
    '''microsoft/deberta-base''': 5_12,
    '''microsoft/deberta-large''': 5_12,
    '''microsoft/deberta-xlarge''': 5_12,
    '''microsoft/deberta-base-mnli''': 5_12,
    '''microsoft/deberta-large-mnli''': 5_12,
    '''microsoft/deberta-xlarge-mnli''': 5_12,
}

UpperCamelCase__	:     Optional[Any]    =			{
    '''microsoft/deberta-base''': {'''do_lower_case''': False},
    '''microsoft/deberta-large''': {'''do_lower_case''': False},
}






class 						_UpperCamelCase  (							lowerCamelCase__   ):


			'''simple docstring'''

			_A				:		Tuple         =		VOCAB_FILES_NAMES
			_A				:		List[Any]         =		PRETRAINED_VOCAB_FILES_MAP
			_A				:		Optional[Any]         =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_A				:		Optional[Any]         =		['''input_ids''', '''attention_mask''', '''token_type_ids''']
			_A				:		Optional[Any]         =		DebertaTokenizer

			def __init__(							self					:			Any							,					lowerCAmelCase__					:			Dict=None							,					lowerCAmelCase__					:			Dict=None							,					lowerCAmelCase__					:			Union[str, Any]=None							,					lowerCAmelCase__					:			Optional[Any]="replace"							,					lowerCAmelCase__					:			List[str]="[CLS]"							,					lowerCAmelCase__					:			str="[SEP]"							,					lowerCAmelCase__					:			Optional[Any]="[SEP]"							,					lowerCAmelCase__					:			Tuple="[CLS]"							,					lowerCAmelCase__					:			List[Any]="[UNK]"							,					lowerCAmelCase__					:			Union[str, Any]="[PAD]"							,					lowerCAmelCase__					:			Union[str, Any]="[MASK]"							,					lowerCAmelCase__					:			List[Any]=False							,					**lowerCAmelCase__					:			List[str]							,					):





					"""simple docstring"""






					super().__init__(
					    lowerCAmelCase__							,					lowerCAmelCase__							,					tokenizer_file=lowerCAmelCase__							,					errors=lowerCAmelCase__							,					bos_token=lowerCAmelCase__							,					eos_token=lowerCAmelCase__							,					unk_token=lowerCAmelCase__							,					sep_token=lowerCAmelCase__							,					cls_token=lowerCAmelCase__							,					pad_token=lowerCAmelCase__							,					mask_token=lowerCAmelCase__							,					add_prefix_space=lowerCAmelCase__							,					**lowerCAmelCase__							,					)
					__SCREAMING_SNAKE_CASE	:		List[Any]   	=		kwargs.pop("""add_bos_token"""							,					lowerCAmelCase__						)

					__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
					if pre_tok_state.get("""add_prefix_space"""							,					lowerCAmelCase__						) != add_prefix_space:
							__SCREAMING_SNAKE_CASE	:		Any   	=		getattr(lowerCAmelCase__							,					pre_tok_state.pop("""type"""						)						)
							__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		add_prefix_space
							__SCREAMING_SNAKE_CASE	:		Tuple   	=		pre_tok_class(**lowerCAmelCase__						)

					__SCREAMING_SNAKE_CASE	:		str   	=		add_prefix_space

			@property
			def UpperCamelCase__ (							self					:			List[str]						):





					"""simple docstring"""






					if self._mask_token is None:
							if self.verbose:
									logger.error("""Using mask_token, but it is not set yet."""						)
							return None
					return str(self._mask_token						)

			@mask_token.setter
			def UpperCamelCase__ (							self					:			Tuple							,					lowerCAmelCase__					:			int						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		List[Any]   	=		AddedToken(lowerCAmelCase__							,					lstrip=lowerCAmelCase__							,					rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,					lowerCAmelCase__						) else value
					__SCREAMING_SNAKE_CASE	:		Optional[int]   	=		value

			def UpperCamelCase__ (							self					:			List[Any]							,					lowerCAmelCase__					:			List[int]							,					lowerCAmelCase__					:			Optional[List[int]] = None						):





					"""simple docstring"""






					if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					__SCREAMING_SNAKE_CASE	:		List[str]   	=		[self.cls_token_id]
					__SCREAMING_SNAKE_CASE	:		int   	=		[self.sep_token_id]
					return cls + token_ids_a + sep + token_ids_a + sep

			def UpperCamelCase__ (							self					:			Any							,					lowerCAmelCase__					:			List[int]							,					lowerCAmelCase__					:			Optional[List[int]] = None						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		int   	=		[self.sep_token_id]
					__SCREAMING_SNAKE_CASE	:		str   	=		[self.cls_token_id]

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

			def UpperCamelCase__ (							self					:			List[str]							,					*lowerCAmelCase__					:			int							,					**lowerCAmelCase__					:			Tuple						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		kwargs.get("""is_split_into_words"""							,					lowerCAmelCase__						)
					assert self.add_prefix_space or not is_split_into_words, (
					    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
					    "to use it with pretokenized inputs."
					)

					return super()._batch_encode_plus(*lowerCAmelCase__							,					**lowerCAmelCase__						)

			def UpperCamelCase__ (							self					:			Union[str, Any]							,					*lowerCAmelCase__					:			List[Any]							,					**lowerCAmelCase__					:			str						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		kwargs.get("""is_split_into_words"""							,					lowerCAmelCase__						)

					assert self.add_prefix_space or not is_split_into_words, (
					    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
					    "to use it with pretokenized inputs."
					)

					return super()._encode_plus(*lowerCAmelCase__							,					**lowerCAmelCase__						)

			def UpperCamelCase__ (							self					:			List[str]							,					lowerCAmelCase__					:			str							,					lowerCAmelCase__					:			Optional[str] = None						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Optional[int]   	=		self._tokenizer.model.save(lowerCAmelCase__							,					name=lowerCAmelCase__						)
					return tuple(lowerCAmelCase__						)



			def UpperCamelCase__ (							self					:			Optional[Any]							,					lowerCAmelCase__					:			"Conversation"						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Tuple   	=		[]
					for is_user, text in conversation.iter_texts():
							input_ids.extend(self.encode(lowerCAmelCase__							,					add_special_tokens=lowerCAmelCase__						) + [self.eos_token_id]						)

					if len(lowerCAmelCase__						) > self.model_max_length:
							__SCREAMING_SNAKE_CASE	:		Dict   	=		input_ids[-self.model_max_length :]
					return input_ids




'''simple docstring'''




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


UpperCamelCase__	:     str    =			['''CoLA''', '''SST''', '''MRPC''', '''QQP''', '''STS''', '''MNLI''', '''SNLI''', '''QNLI''', '''RTE''', '''WNLI''', '''diagnostic''']
UpperCamelCase__	:     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''',
}

UpperCamelCase__	:     Optional[int]    =			'''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'''
UpperCamelCase__	:     Any    =			'''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'''


def     lowerCAmelCase_       (     _lowerCamelCase:       Union[str, Any]	,				_lowerCamelCase:       Dict ):
		print(F"Downloading and extracting {task}..." )
		__SCREAMING_SNAKE_CASE	:		Tuple   	=		F"{task}.zip"
		urllib.request.urlretrieve(TASKaPATH[task]	,				_lowerCamelCase )
		with zipfile.ZipFile(_lowerCamelCase ) as zip_ref:
				zip_ref.extractall(_lowerCamelCase )
		os.remove(_lowerCamelCase )
		print("""\tCompleted!""" )


def     lowerCAmelCase_       (     _lowerCamelCase:       str	,				_lowerCamelCase:       Optional[int] ):
		print("""Processing MRPC...""" )
		__SCREAMING_SNAKE_CASE	:		List[Any]   	=		os.path.join(_lowerCamelCase	,				"""MRPC""" )
		if not os.path.isdir(_lowerCamelCase ):
				os.mkdir(_lowerCamelCase )
		if path_to_data:
				__SCREAMING_SNAKE_CASE	:		Dict   	=		os.path.join(_lowerCamelCase	,				"""msr_paraphrase_train.txt""" )
				__SCREAMING_SNAKE_CASE	:		Tuple   	=		os.path.join(_lowerCamelCase	,				"""msr_paraphrase_test.txt""" )
		else:
				print("""Local MRPC data not specified, downloading data from %s""" % MRPC_TRAIN )
				__SCREAMING_SNAKE_CASE	:		List[Any]   	=		os.path.join(_lowerCamelCase	,				"""msr_paraphrase_train.txt""" )
				__SCREAMING_SNAKE_CASE	:		List[str]   	=		os.path.join(_lowerCamelCase	,				"""msr_paraphrase_test.txt""" )
				urllib.request.urlretrieve(_lowerCamelCase	,				_lowerCamelCase )
				urllib.request.urlretrieve(_lowerCamelCase	,				_lowerCamelCase )
		if not os.path.isfile(_lowerCamelCase ):
				raise ValueError(F"Train data not found at {mrpc_train_file}" )
		if not os.path.isfile(_lowerCamelCase ):
				raise ValueError(F"Test data not found at {mrpc_test_file}" )
		urllib.request.urlretrieve(TASKaPATH["""MRPC"""]	,				os.path.join(_lowerCamelCase	,				"""dev_ids.tsv""" ) )

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

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


def     lowerCAmelCase_       (     _lowerCamelCase:       int ):
		__SCREAMING_SNAKE_CASE	:		Optional[int]   	=		task_names.split(""",""" )
		if "all" in task_names:
				__SCREAMING_SNAKE_CASE	:		List[Any]   	=		TASKS
		else:
				__SCREAMING_SNAKE_CASE	:		Dict   	=		[]
				for task_name in task_names:
						if task_name not in TASKS:
								raise ValueError(F"Task {task_name} not found!" )
						tasks.append(_lowerCamelCase )
		return tasks


def     lowerCAmelCase_       (     _lowerCamelCase:       Tuple ):
		__SCREAMING_SNAKE_CASE	:		int   	=		argparse.ArgumentParser()
		parser.add_argument("""--data_dir"""	,				help="""directory to save data to"""	,				type=_lowerCamelCase	,				default="""glue_data""" )
		parser.add_argument(
		    """--tasks"""	,				help="""tasks to download data for as a comma separated string"""	,				type=_lowerCamelCase	,				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=_lowerCamelCase	,				default=""""""	,				)
		__SCREAMING_SNAKE_CASE	:		Tuple   	=		parser.parse_args(_lowerCamelCase )

		if not os.path.isdir(args.data_dir ):
				os.mkdir(args.data_dir )
		__SCREAMING_SNAKE_CASE	:		List[str]   	=		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(_lowerCamelCase	,				args.data_dir )


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