import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


__UpperCamelCase	: List[Any]    		=  logging.get_logger(__name__)

__UpperCamelCase	: List[Any]    		=  {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

__UpperCamelCase	: Any    		=  {
    'vocab_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'
        ),
        'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt',
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli': (
            'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'
        ),
    },
}

__UpperCamelCase	: Tuple    		=  {
    'squeezebert/squeezebert-uncased': 512,
    'squeezebert/squeezebert-mnli': 512,
    'squeezebert/squeezebert-mnli-headless': 512,
}


__UpperCamelCase	: int    		=  {
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}





class       lowercase__		(     UpperCamelCase_):
						UpperCamelCase_  =	VOCAB_FILES_NAMES
						UpperCamelCase_  =	PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase_  =	PRETRAINED_INIT_CONFIGURATION
						UpperCamelCase_  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase_  =	SqueezeBertTokenizer


						def __init__( self			:       str					,	UpperCamelCase__			:       int=None					,	UpperCamelCase__			:       List[Any]=None					,	UpperCamelCase__			:       Union[str, Any]=True					,	UpperCamelCase__			:       List[str]="[UNK]"					,	UpperCamelCase__			:       int="[SEP]"					,	UpperCamelCase__			:       Any="[PAD]"					,	UpperCamelCase__			:       Union[str, Any]="[CLS]"					,	UpperCamelCase__			:       List[Any]="[MASK]"					,	UpperCamelCase__			:       Any=True					,	UpperCamelCase__			:       int=None					,	**UpperCamelCase__			:       Dict					,	):





												'''simple docstring'''





												super().__init__(
												    UpperCamelCase__					,	tokenizer_file=UpperCamelCase__					,	do_lower_case=UpperCamelCase__					,	unk_token=UpperCamelCase__					,	sep_token=UpperCamelCase__					,	pad_token=UpperCamelCase__					,	cls_token=UpperCamelCase__					,	mask_token=UpperCamelCase__					,	tokenize_chinese_chars=UpperCamelCase__					,	strip_accents=UpperCamelCase__					,	**UpperCamelCase__					,	)

												SCREAMING_SNAKE_CASE							:					Tuple           =							json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
												if (
												    normalizer_state.get('''lowercase'''					,	UpperCamelCase__		) != do_lower_case
												    or normalizer_state.get('''strip_accents'''					,	UpperCamelCase__		) != strip_accents
												    or normalizer_state.get('''handle_chinese_chars'''					,	UpperCamelCase__		) != tokenize_chinese_chars
												):
																		SCREAMING_SNAKE_CASE							:					Optional[Any]           =							getattr(UpperCamelCase__					,	normalizer_state.pop('''type'''		)		)
																		SCREAMING_SNAKE_CASE							:					Tuple           =							do_lower_case
																		SCREAMING_SNAKE_CASE							:					Dict           =							strip_accents
																		SCREAMING_SNAKE_CASE							:					str           =							tokenize_chinese_chars
																		SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							normalizer_class(**UpperCamelCase__		)

												SCREAMING_SNAKE_CASE							:					List[str]           =							do_lower_case


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





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							[self.cls_token_id] + token_ids_a + [self.sep_token_id]

												if token_ids_a:
																		output += token_ids_a + [self.sep_token_id]

												return output


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





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Any           =							[self.sep_token_id]
												SCREAMING_SNAKE_CASE							:					Tuple           =							[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  __A ( self			:       List[Any]					,	UpperCamelCase__			:       str					,	UpperCamelCase__			:       Optional[str] = None		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					int           =							self._tokenizer.model.save(UpperCamelCase__					,	name=UpperCamelCase__		)
												return tuple(UpperCamelCase__		)






import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class       lowercase__		(     UpperCamelCase_			,							unittest.TestCase):
						UpperCamelCase_  =	FunnelTokenizer
						UpperCamelCase_  =	FunnelTokenizerFast
						UpperCamelCase_  =	True
						UpperCamelCase_  =	True


						def  __A ( self			:       Union[str, Any]		):





												'''simple docstring'''





												super().setUp()

												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							[
												    '''<unk>''',
												    '''<cls>''',
												    '''<sep>''',
												    '''want''',
												    '''##want''',
												    '''##ed''',
												    '''wa''',
												    '''un''',
												    '''runn''',
												    '''##ing''',
												    ''',''',
												    '''low''',
												    '''lowest''',
												]
												SCREAMING_SNAKE_CASE							:					List[str]           =							os.path.join(self.tmpdirname					,	VOCAB_FILES_NAMES['''vocab_file''']		)
												with open(self.vocab_file					,	'''w'''					,	encoding='''utf-8'''		) as vocab_writer:
																		vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]		)		)


						def  __A ( self			:       int					,	**UpperCamelCase__			:       List[Any]		):





												'''simple docstring'''





												return FunnelTokenizer.from_pretrained(self.tmpdirname					,	**UpperCamelCase__		)


						def  __A ( self			:       int					,	**UpperCamelCase__			:       List[Any]		):





												'''simple docstring'''





												return FunnelTokenizerFast.from_pretrained(self.tmpdirname					,	**UpperCamelCase__		)


						def  __A ( self			:       Any					,	UpperCamelCase__			:       List[str]		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							'''UNwant\u00E9d,running'''
												SCREAMING_SNAKE_CASE							:					int           =							'''unwanted, running'''
												return input_text, output_text


						def  __A ( self			:       Any		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					List[Any]           =							self.tokenizer_class(self.vocab_file		)

												SCREAMING_SNAKE_CASE							:					int           =							tokenizer.tokenize('''UNwant\u00E9d,running'''		)
												self.assertListEqual(UpperCamelCase__					,	['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']		)
												self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__		)					,	[7, 4, 5, 10, 8, 9]		)



						def  __A ( self			:       str		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Dict           =							self.get_tokenizers(do_lower_case=UpperCamelCase__		)
												for tokenizer in tokenizers:
																		SCREAMING_SNAKE_CASE							:					int           =							tokenizer('''UNwant\u00E9d,running'''		)
																		SCREAMING_SNAKE_CASE							:					Optional[Any]           =							len(inputs['''input_ids''']		) - 1
																		self.assertListEqual(inputs['''token_type_ids''']					,	[2] + [0] * sentence_len		)

																		SCREAMING_SNAKE_CASE							:					List[Any]           =							tokenizer('''UNwant\u00E9d,running'''					,	'''UNwant\u00E9d,running'''		)
																		self.assertListEqual(inputs['''token_type_ids''']					,	[2] + [0] * sentence_len + [1] * sentence_len		)





