






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


a_		:    int   							=     logging.get_logger(__name__)

a_		:    List[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 		_snake_case	(	A__       ):
			_lowercase		:     int        =				'''yolos'''






			def __init__(							self		,       a=768		,       a=12		,       a=12		,       a=3072		,       a="gelu"		,       a=0.0		,       a=0.0		,       a=0.02		,       a=1E-12		,       a=[512, 864]		,       a=16		,       a=3		,       a=True		,       a=100		,       a=True		,       a=False		,       a=1		,       a=5		,       a=2		,       a=5		,       a=2		,       a=0.1		,       **a		,       )   ->							Dict:
						super().__init__(**a)

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



class 		_snake_case	(	A__       ):
			_lowercase		:     int        =				version.parse('''1.11'''       )






			@property
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Mapping[str, Mapping[int, str]]:
						return OrderedDict(
						    [
						        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
						    ])






			@property
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							float:
						return 1E-4







			@property
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							int:
						return 12











"""simple docstring"""





import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roberta import RobertaTokenizer


__A											=						logging.get_logger(__name__)

__A											=						{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

__A											=						{
    """vocab_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/vocab.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/vocab.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/vocab.json""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/merges.txt""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/merges.txt""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/merges.txt""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"""
        ),
    },
    """tokenizer_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/tokenizer.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/tokenizer.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json""",
        """roberta-base-openai-detector""": (
            """https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json"""
        ),
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json"""
        ),
    },
}

__A											=						{
    """roberta-base""": 512,
    """roberta-large""": 512,
    """roberta-large-mnli""": 512,
    """distilroberta-base""": 512,
    """roberta-base-openai-detector""": 512,
    """roberta-large-openai-detector""": 512,
}






class    _lowerCAmelCase  (	a			):
       """simple docstring"""




       __magic_name__	:str						    =   VOCAB_FILES_NAMES
       __magic_name__	:List[Any]						    =   PRETRAINED_VOCAB_FILES_MAP
       __magic_name__	:Optional[Any]						    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __magic_name__	:str						    =   ["""input_ids""", """attention_mask"""]
       __magic_name__	:Any						    =   RobertaTokenizer






       def __init__(       self       ,					__UpperCAmelCase=None       ,					__UpperCAmelCase=None       ,					__UpperCAmelCase=None       ,					__UpperCAmelCase="replace"       ,					__UpperCAmelCase="<s>"       ,					__UpperCAmelCase="</s>"       ,					__UpperCAmelCase="</s>"       ,					__UpperCAmelCase="<s>"       ,					__UpperCAmelCase="<unk>"       ,					__UpperCAmelCase="<pad>"       ,					__UpperCAmelCase="<mask>"       ,					__UpperCAmelCase=False       ,					__UpperCAmelCase=True       ,					**__UpperCAmelCase       ,					):



         '''simple docstring'''

         super().__init__(
             __UpperCAmelCase       ,					__UpperCAmelCase       ,					tokenizer_file=__UpperCAmelCase       ,					errors=__UpperCAmelCase       ,					bos_token=__UpperCAmelCase       ,					eos_token=__UpperCAmelCase       ,					sep_token=__UpperCAmelCase       ,					cls_token=__UpperCAmelCase       ,					unk_token=__UpperCAmelCase       ,					pad_token=__UpperCAmelCase       ,					mask_token=__UpperCAmelCase       ,					add_prefix_space=__UpperCAmelCase       ,					trim_offsets=__UpperCAmelCase       ,					**__UpperCAmelCase       ,					)

         lowerCAmelCase__     :Dict											=				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
         if pre_tok_state.get('add_prefix_space'       ,					__UpperCAmelCase ) != add_prefix_space:
           lowerCAmelCase__     :Optional[int]											=				getattr(__UpperCAmelCase       ,					pre_tok_state.pop('type' ) )
           lowerCAmelCase__     :List[Any]											=				add_prefix_space
           lowerCAmelCase__     :str											=				pre_tok_class(**__UpperCAmelCase )

         lowerCAmelCase__     :List[str]											=				add_prefix_space

         lowerCAmelCase__     :str											=				'post_processor'
         lowerCAmelCase__     :Optional[Any]											=				getattr(self.backend_tokenizer       ,					__UpperCAmelCase       ,					__UpperCAmelCase )
         if tokenizer_component_instance:
           lowerCAmelCase__     :Optional[Any]											=				json.loads(tokenizer_component_instance.__getstate__() )

           # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
           if "sep" in state:
             lowerCAmelCase__     :Any											=				tuple(state['sep'] )
           if "cls" in state:
             lowerCAmelCase__     :int											=				tuple(state['cls'] )

           lowerCAmelCase__     :List[Any]											=				False

           if state.get('add_prefix_space'       ,					__UpperCAmelCase ) != add_prefix_space:
             lowerCAmelCase__     :Union[str, Any]											=				add_prefix_space
             lowerCAmelCase__     :Any											=				True

           if state.get('trim_offsets'       ,					__UpperCAmelCase ) != trim_offsets:
             lowerCAmelCase__     :Union[str, Any]											=				trim_offsets
             lowerCAmelCase__     :Optional[int]											=				True

           if changes_to_apply:
             lowerCAmelCase__     :str											=				getattr(__UpperCAmelCase       ,					state.pop('type' ) )
             lowerCAmelCase__     :Any											=				component_class(**__UpperCAmelCase )
             setattr(self.backend_tokenizer       ,					__UpperCAmelCase       ,					__UpperCAmelCase )






       @property
       def 	snake_case		(       self ):



         '''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 	snake_case		(       self       ,					__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :List[Any]											=				AddedToken(__UpperCAmelCase       ,					lstrip=__UpperCAmelCase       ,					rstrip=__UpperCAmelCase ) if isinstance(__UpperCAmelCase       ,					__UpperCAmelCase ) else value
         lowerCAmelCase__     :List[str]											=				value






       def 	snake_case		(       self       ,					*__UpperCAmelCase       ,					**__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[Any]											=				kwargs.get('is_split_into_words'       ,					__UpperCAmelCase )
         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(*__UpperCAmelCase       ,					**__UpperCAmelCase )






       def 	snake_case		(       self       ,					*__UpperCAmelCase       ,					**__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :Any											=				kwargs.get('is_split_into_words'       ,					__UpperCAmelCase )

         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(*__UpperCAmelCase       ,					**__UpperCAmelCase )






       def 	snake_case		(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase = None ):



         '''simple docstring'''

         lowerCAmelCase__     :Union[str, Any]											=				self._tokenizer.model.save(__UpperCAmelCase       ,					name=__UpperCAmelCase )
         return tuple(__UpperCAmelCase )






       def 	snake_case		(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase=None ):



         '''simple docstring'''

         lowerCAmelCase__     :str											=				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
         if token_ids_a is None:
           return output

         return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






       def 	snake_case		(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase = None ):



         '''simple docstring'''

         lowerCAmelCase__     :List[Any]											=				[self.sep_token_id]
         lowerCAmelCase__     :int											=				[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 + sep + token_ids_a + sep ) * [0]
