




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


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

_lowerCamelCase	:		str							       =   {
    """hustvl/yolos-small""": """https://huggingface.co/hustvl/yolos-small/resolve/main/config.json""",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      '''yolos'''


    def __init__(			self      :	Any					, UpperCAmelCase__      :	Tuple=768					, UpperCAmelCase__      :	Optional[Any]=12					, UpperCAmelCase__      :	List[str]=12					, UpperCAmelCase__      :	Optional[int]=3_072					, UpperCAmelCase__      :	Any="gelu"					, UpperCAmelCase__      :	Tuple=0.0					, UpperCAmelCase__      :	int=0.0					, UpperCAmelCase__      :	str=0.02					, UpperCAmelCase__      :	Dict=1e-12					, UpperCAmelCase__      :	List[str]=[512, 864]					, UpperCAmelCase__      :	Dict=16					, UpperCAmelCase__      :	Any=3					, UpperCAmelCase__      :	str=True					, UpperCAmelCase__      :	Optional[Any]=100					, UpperCAmelCase__      :	List[Any]=True					, UpperCAmelCase__      :	Dict=False					, UpperCAmelCase__      :	List[Any]=1					, UpperCAmelCase__      :	Optional[Any]=5					, UpperCAmelCase__      :	List[Any]=2					, UpperCAmelCase__      :	Tuple=5					, UpperCAmelCase__      :	Tuple=2					, UpperCAmelCase__      :	Optional[Any]=0.1					, **UpperCAmelCase__      :	int					, )						->List[str]:





           '''simple docstring'''

           super().__init__(**UpperCAmelCase__)

           A__       =    hidden_size
           A__       =    num_hidden_layers
           A__       =    num_attention_heads
           A__       =    intermediate_size
           A__       =    hidden_act
           A__       =    hidden_dropout_prob
           A__       =    attention_probs_dropout_prob
           A__       =    initializer_range
           A__       =    layer_norm_eps
           A__       =    image_size
           A__       =    patch_size
           A__       =    num_channels
           A__       =    qkv_bias
           A__       =    num_detection_tokens
           A__       =    use_mid_position_embeddings
           A__       =    auxiliary_loss
           # Hungarian matcher
           A__       =    class_cost
           A__       =    bbox_cost
           A__       =    giou_cost
           # Loss coefficients
           A__       =    bbox_loss_coefficient
           A__       =    giou_loss_coefficient
           A__       =    eos_coefficient


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      version.parse('''1.11'''     )


    @property
    def        SCREAMING_SNAKE_CASE							(			self      :	str)						->Mapping[str, Mapping[int, str]]:





           '''simple docstring'''

           return OrderedDict(
               [
                   ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
               ])


    @property
    def        SCREAMING_SNAKE_CASE							(			self      :	Union[str, Any])						->float:





           '''simple docstring'''

           return 1e-4





    @property
    def        SCREAMING_SNAKE_CASE							(			self      :	Optional[int])						->int:





           '''simple docstring'''

           return 12








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


lowerCamelCase__ :   Union[str, Any]					=							logging.get_logger(__name__)

lowerCamelCase__ :   Dict					=							{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__ :   Tuple					=							{
    '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'
        ),
    },
}

lowerCamelCase__ :   int					=							{
    'squeezebert/squeezebert-uncased': 512,
    'squeezebert/squeezebert-mnli': 512,
    'squeezebert/squeezebert-mnli-headless': 512,
}


lowerCamelCase__ :   str					=							{
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}





class        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE					):


 '''simple docstring'''







 lowercase_				    =    VOCAB_FILES_NAMES
 lowercase_				    =    PRETRAINED_VOCAB_FILES_MAP
 lowercase_				    =    PRETRAINED_INIT_CONFIGURATION
 lowercase_				    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_				    =    SqueezeBertTokenizer



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

       SCREAMING_SNAKE_CASE_							=			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
       ):
             SCREAMING_SNAKE_CASE_							=			getattr(_lowerCAmelCase				,				normalizer_state.pop('type'						)						)
             SCREAMING_SNAKE_CASE_							=			do_lower_case
             SCREAMING_SNAKE_CASE_							=			strip_accents
             SCREAMING_SNAKE_CASE_							=			tokenize_chinese_chars
             SCREAMING_SNAKE_CASE_							=			normalizer_class(**_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			do_lower_case



 def       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[int]=None						):
       SCREAMING_SNAKE_CASE_							=			[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       lowerCAmelCase_  (							self  :		Optional[int]				,				_lowerCAmelCase  :		List[int]				,				_lowerCAmelCase  :		Optional[List[int]] = None						):
       SCREAMING_SNAKE_CASE_							=			[self.sep_token_id]
       SCREAMING_SNAKE_CASE_							=			[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       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[str] = None						):
       SCREAMING_SNAKE_CASE_							=			self._tokenizer.model.save(_lowerCAmelCase				,				name=_lowerCAmelCase						)
       return tuple(_lowerCAmelCase						)