


'''simple docstring'''



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


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

_lowercase    :    int			     =  {"""vocab_file""": """vocab.txt"""}

_lowercase    :    Optional[int]			     =  {
    """vocab_file""": {
        """YituTech/conv-bert-base""": """https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt""",
        """YituTech/conv-bert-medium-small""": (
            """https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt"""
        ),
        """YituTech/conv-bert-small""": """https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt""",
    }
}

_lowercase    :    Optional[int]			     =  {
    """YituTech/conv-bert-base""": 512,
    """YituTech/conv-bert-medium-small""": 512,
    """YituTech/conv-bert-small""": 512,
}


_lowercase    :    Optional[int]			     =  {
    """YituTech/conv-bert-base""": {"""do_lower_case""": True},
    """YituTech/conv-bert-medium-small""": {"""do_lower_case""": True},
    """YituTech/conv-bert-small""": {"""do_lower_case""": True},
}






class  UpperCamelCase__(     lowerCAmelCase ):
				__magic_name__       :   str							= VOCAB_FILES_NAMES
				__magic_name__       :   List[Any]							= PRETRAINED_VOCAB_FILES_MAP
				__magic_name__       :   Any							= PRETRAINED_INIT_CONFIGURATION
				__magic_name__       :   int							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__magic_name__       :   Tuple							= ConvBertTokenizer




				def __init__(	self    :				List[str]   ,					lowerCAmelCase    :				List[Any]=None   ,					lowerCAmelCase    :				str=None   ,					lowerCAmelCase    :				Optional[int]=True   ,					lowerCAmelCase    :				str="[UNK]"   ,					lowerCAmelCase    :				Any="[SEP]"   ,					lowerCAmelCase    :				List[str]="[PAD]"   ,					lowerCAmelCase    :				Any="[CLS]"   ,					lowerCAmelCase    :				Optional[int]="[MASK]"   ,					lowerCAmelCase    :				Optional[int]=True   ,					lowerCAmelCase    :				int=None   ,					**lowerCAmelCase    :				List[str]   ,					)->  Any:

										"""simple docstring"""




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

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

										UpperCAmelCase         =			do_lower_case




				def   a__(	self    :				Union[str, Any]   ,					lowerCAmelCase    :				Union[str, Any]   ,					lowerCAmelCase    :				Dict=None   )->  str:

										"""simple docstring"""




										UpperCAmelCase         =			[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    :				str   ,					lowerCAmelCase    :				List[int]   ,					lowerCAmelCase    :				Optional[List[int]] = None   )->  List[int]:

										"""simple docstring"""




										UpperCAmelCase         =			[self.sep_token_id]
										UpperCAmelCase         =			[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    :				Tuple   ,					lowerCAmelCase    :				str   ,					lowerCAmelCase    :				Optional[str] = None   )->  Tuple[str]:

										"""simple docstring"""




										UpperCAmelCase         =			self._tokenizer.model.save(lowerCAmelCase   ,					name=lowerCAmelCase   )
										return tuple(lowerCAmelCase   )









'''simple docstring'''



import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
	import torch

	from transformers.generation import (
	    MaxLengthCriteria,
	    MaxNewTokensCriteria,
	    MaxTimeCriteria,
	    StoppingCriteriaList,
	    validate_stopping_criteria,
	)






@require_torch
class  UpperCamelCase__(     unittest.TestCase ):




				def   a__(	self    :				List[Any]   ,					lowerCAmelCase    :				Optional[Any]   )->  Optional[int]:

										"""simple docstring"""




										UpperCAmelCase         =			3
										UpperCAmelCase         =			250

										UpperCAmelCase         =			ids_tensor((batch_size, length)   ,					lowerCAmelCase   )
										UpperCAmelCase         =			torch.ones((batch_size, length)   ,					device=lowerCAmelCase   ,					dtype=torch.float   ) / length
										return input_ids, scores




				def   a__(	self    :				Dict   )->  Optional[int]:

										"""simple docstring"""




										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )

										UpperCAmelCase         =			StoppingCriteriaList(
										    [
										        MaxLengthCriteria(max_length=10   ),
										        MaxTimeCriteria(max_time=0.1   ),
										    ]   )

										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(9   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(10   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )




				def   a__(	self    :				Union[str, Any]   )->  Union[str, Any]:

										"""simple docstring"""




										UpperCAmelCase         =			MaxLengthCriteria(max_length=10   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(9   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(10   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )




				def   a__(	self    :				Optional[Any]   )->  List[Any]:

										"""simple docstring"""




										UpperCAmelCase         =			MaxNewTokensCriteria(start_length=5   ,					max_new_tokens=5   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(9   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(10   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase         =			StoppingCriteriaList([criteria]   )
										self.assertEqual(criteria_list.max_length   ,					10   )




				def   a__(	self    :				Tuple   )->  Optional[Any]:

										"""simple docstring"""




										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )

										UpperCAmelCase         =			MaxTimeCriteria(max_time=0.1   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase         =			MaxTimeCriteria(max_time=0.1   ,					initial_timestamp=time.time() - 0.2   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )





				def   a__(	self    :				int   )->  Any:

										"""simple docstring"""




										validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   )   ,					10   )

										with self.assertWarns(lowerCAmelCase   ):
																validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   )   ,					11   )

										UpperCAmelCase         =			validate_stopping_criteria(StoppingCriteriaList()   ,					11   )

										self.assertEqual(len(lowerCAmelCase   )   ,					1   )





