
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_   	=	logging.get_logger(__name__)

UpperCamelCase_   	=	{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

UpperCamelCase_   	=	{
    "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_   	=	{
    "squeezebert/squeezebert-uncased": 5_1_2,
    "squeezebert/squeezebert-mnli": 5_1_2,
    "squeezebert/squeezebert-mnli-headless": 5_1_2,
}


UpperCamelCase_   	=	{
    "squeezebert/squeezebert-uncased": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli-headless": {"do_lower_case": True},
}

class       a   (   __UpperCAmelCase					):
							lowercase_		:						Optional[Any]   							=  VOCAB_FILES_NAMES
							lowercase_		:						int   							=  PRETRAINED_VOCAB_FILES_MAP
							lowercase_		:						Optional[int]   							=  PRETRAINED_INIT_CONFIGURATION
							lowercase_		:						Any   							=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_		:						int   							=  SqueezeBertTokenizer







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







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

								__lowerCAmelCase         =							json.loads(self.backend_tokenizer.normalizer.__getstate__() )
								if (
								    normalizer_state.get("lowercase"      ,				snake_case__ ) != do_lower_case
								    or normalizer_state.get("strip_accents"      ,				snake_case__ ) != strip_accents
								    or normalizer_state.get("handle_chinese_chars"      ,				snake_case__ ) != tokenize_chinese_chars
								):
									__lowerCAmelCase         =							getattr(snake_case__      ,				normalizer_state.pop("type" ) )
									__lowerCAmelCase         =							do_lower_case
									__lowerCAmelCase         =							strip_accents
									__lowerCAmelCase         =							tokenize_chinese_chars
									__lowerCAmelCase         =							normalizer_class(**snake_case__ )

								__lowerCAmelCase         =							do_lower_case







							def       UpperCAmelCase__					(						self  :  List[Any]      ,				snake_case__  :  Dict      ,				snake_case__  :  List[str]=None ):
								"""simple docstring"""







								__lowerCAmelCase         =							[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       UpperCAmelCase__					(						self  :  Tuple      ,				snake_case__  :  List[int]      ,				snake_case__  :  Optional[List[int]] = None ):
								"""simple docstring"""







								__lowerCAmelCase         =							[self.sep_token_id]
								__lowerCAmelCase         =							[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  :  Optional[Any]      ,				snake_case__  :  str      ,				snake_case__  :  Optional[str] = None ):
								"""simple docstring"""







								__lowerCAmelCase         =							self._tokenizer.model.save(snake_case__      ,				name=snake_case__ )
								return tuple(snake_case__ )








import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
					import torch

					from transformers.generation import DisjunctiveConstraint

@require_torch
class       a		(   unittest.TestCase					):







							def       UpperCAmelCase__					(						self  :  Optional[int] ):
								"""simple docstring"""







								__lowerCAmelCase         =							[[1, 2, 4], [1, 2, 3, 4]]
								__lowerCAmelCase         =							DisjunctiveConstraint(snake_case__ )
								self.assertTrue(isinstance(dc.token_ids      ,				snake_case__ ) )

								with self.assertRaises(snake_case__ ):
									DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]] ) )

								with self.assertRaises(snake_case__ ):
									DisjunctiveConstraint([torch.LongTensor([1, 2, 4] ), torch.LongTensor([1, 2, 3, 4, 5] )] )







							def       UpperCAmelCase__					(						self  :  Tuple ):
								"""simple docstring"""







								__lowerCAmelCase         =							[[1, 2], [1, 2, 3, 4]]

								with self.assertRaises(snake_case__ ):
									DisjunctiveConstraint(snake_case__ )  # fails here







							def       UpperCAmelCase__					(						self  :  Union[str, Any] ):
								"""simple docstring"""







								__lowerCAmelCase         =							[[1, 2, 3], [1, 2, 4]]

								__lowerCAmelCase         =							DisjunctiveConstraint(snake_case__ )

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(1 )
								__lowerCAmelCase         =							stepped is True and completed is False and reset is False
								self.assertTrue(snake_case__ )
								self.assertTrue(not dc.completed )
								self.assertTrue(dc.current_seq == [1] )

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(2 )
								__lowerCAmelCase         =							stepped is True and completed is False and reset is False
								self.assertTrue(snake_case__ )
								self.assertTrue(not dc.completed )
								self.assertTrue(dc.current_seq == [1, 2] )

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(3 )
								__lowerCAmelCase         =							stepped is True and completed is True and reset is False
								self.assertTrue(snake_case__ )
								self.assertTrue(dc.completed )  # Completed!
								self.assertTrue(dc.current_seq == [1, 2, 3] )







							def       UpperCAmelCase__					(						self  :  Optional[Any] ):
								"""simple docstring"""







								__lowerCAmelCase         =							[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

								__lowerCAmelCase         =							DisjunctiveConstraint(snake_case__ )

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(1 )
								self.assertTrue(not dc.completed )
								self.assertTrue(dc.current_seq == [1] )

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(2 )
								self.assertTrue(not dc.completed )
								self.assertTrue(dc.current_seq == [1, 2] )

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(4 )
								self.assertTrue(not dc.completed )
								self.assertTrue(dc.current_seq == [1, 2, 4] )

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(5 )
								self.assertTrue(dc.completed )  # Completed!
								self.assertTrue(dc.current_seq == [1, 2, 4, 5] )

								dc.reset()

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(1 )
								self.assertTrue(not dc.completed )
								self.assertTrue(dc.remaining() == 3 )
								self.assertTrue(dc.current_seq == [1] )

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(2 )
								self.assertTrue(not dc.completed )
								self.assertTrue(dc.remaining() == 2 )
								self.assertTrue(dc.current_seq == [1, 2] )

								__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							dc.update(5 )
								self.assertTrue(dc.completed )  # Completed!
								self.assertTrue(dc.remaining() == 0 )
								self.assertTrue(dc.current_seq == [1, 2, 5] )






