






import copy
from typing import Dict, List, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


__a:     Tuple   					=					{
    '''facebook/mask2former-swin-small-coco-instance''': (
        '''https://huggingface.co/facebook/mask2former-swin-small-coco-instance/blob/main/config.json'''
    )
    # See all Mask2Former models at https://huggingface.co/models?filter=mask2former
}

__a:     Optional[Any]   					=					logging.get_logger(__name__)
class 		SCREAMING_SNAKE_CASE__	(  UpperCAmelCase     ):

  '''simple docstring'''







  _lowerCamelCase    =  '''mask2former'''
  _lowerCamelCase    =  ['''swin''']
  _lowerCamelCase    =  {'''hidden_size''': '''hidden_dim'''}


  def __init__(      self		:			Tuple       ,				lowerCamelCase		:			Optional[Dict] = None       ,				lowerCamelCase		:			int = 256       ,				lowerCamelCase		:			int = 256       ,				lowerCamelCase		:			int = 256       ,				lowerCamelCase		:			int = 1024       ,				lowerCamelCase		:			str = "relu"       ,				lowerCamelCase		:			int = 6       ,				lowerCamelCase		:			int = 10       ,				lowerCamelCase		:			int = 8       ,				lowerCamelCase		:			float = 0.0       ,				lowerCamelCase		:			int = 2048       ,				lowerCamelCase		:			bool = False       ,				lowerCamelCase		:			bool = False       ,				lowerCamelCase		:			int = 4       ,				lowerCamelCase		:			int = 255       ,				lowerCamelCase		:			int = 100       ,				lowerCamelCase		:			float = 0.1       ,				lowerCamelCase		:			float = 2.0       ,				lowerCamelCase		:			float = 5.0       ,				lowerCamelCase		:			float = 5.0       ,				lowerCamelCase		:			int = 1_2544       ,				lowerCamelCase		:			float = 3.0       ,				lowerCamelCase		:			float = 0.75       ,				lowerCamelCase		:			float = 0.02       ,				lowerCamelCase		:			float = 1.0       ,				lowerCamelCase		:			bool = True       ,				lowerCamelCase		:			List[int] = [4, 8, 16, 32]       ,				lowerCamelCase		:			bool = None       ,				**lowerCamelCase		:			Optional[Any]       ,				)						->	Tuple:


         """simple docstring"""
         if backbone_config is None:
                logger.info("""`backbone_config` is `None`. Initializing the config with the default `Swin` backbone."""							)
                _UpperCAmelCase							=    CONFIG_MAPPING["""swin"""](
                    image_size=224       ,				in_channels=3       ,				patch_size=4       ,				embed_dim=96       ,				depths=[2, 2, 18, 2]       ,				num_heads=[3, 6, 12, 24]       ,				window_size=7       ,				drop_path_rate=0.3       ,				use_absolute_embeddings=lowerCamelCase       ,				out_features=["""stage1""", """stage2""", """stage3""", """stage4"""]       ,				)

         if isinstance(lowerCamelCase       ,				lowerCamelCase							):
                _UpperCAmelCase							=    backbone_config.pop("""model_type"""							)
                _UpperCAmelCase							=    CONFIG_MAPPING[backbone_model_type]
                _UpperCAmelCase							=    config_class.from_dict(lowerCamelCase							)

         # verify that the backbone is supported
         if backbone_config.model_type not in self.backbones_supported:
                logger.warning_once(
                    f"""Backbone {backbone_config.model_type} is not a supported model and may not be compatible with Mask2Former. """
                    f"""Supported model types: {",".join(self.backbones_supported							)}"""							)

         _UpperCAmelCase							=    backbone_config
         _UpperCAmelCase							=    feature_size
         _UpperCAmelCase							=    mask_feature_size
         _UpperCAmelCase							=    hidden_dim
         _UpperCAmelCase							=    encoder_feedforward_dim
         _UpperCAmelCase							=    activation_function
         _UpperCAmelCase							=    encoder_layers
         _UpperCAmelCase							=    decoder_layers
         _UpperCAmelCase							=    num_attention_heads
         _UpperCAmelCase							=    dropout
         _UpperCAmelCase							=    dim_feedforward
         _UpperCAmelCase							=    pre_norm
         _UpperCAmelCase							=    enforce_input_projection
         _UpperCAmelCase							=    common_stride
         _UpperCAmelCase							=    ignore_value
         _UpperCAmelCase							=    num_queries
         _UpperCAmelCase							=    no_object_weight
         _UpperCAmelCase							=    class_weight
         _UpperCAmelCase							=    mask_weight
         _UpperCAmelCase							=    dice_weight
         _UpperCAmelCase							=    train_num_points
         _UpperCAmelCase							=    oversample_ratio
         _UpperCAmelCase							=    importance_sample_ratio
         _UpperCAmelCase							=    init_std
         _UpperCAmelCase							=    init_xavier_std
         _UpperCAmelCase							=    use_auxiliary_loss
         _UpperCAmelCase							=    feature_strides
         _UpperCAmelCase							=    output_auxiliary_logits
         _UpperCAmelCase							=    decoder_layers

         super().__init__(**lowerCamelCase							)


  @classmethod
  def  lowerCamelCase       (      cls		:			Union[str, Any]       ,				lowerCamelCase		:			PretrainedConfig       ,				**lowerCamelCase		:			Optional[Any]							)						->	Union[str, Any]:


         """simple docstring"""
         return cls(
             backbone_config=lowerCamelCase       ,				**lowerCamelCase       ,				)





  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	Dict[str, any]:


         """simple docstring"""
         _UpperCAmelCase							=    copy.deepcopy(self.__dict__							)
         _UpperCAmelCase							=    self.backbone_config.to_dict()
         _UpperCAmelCase							=    self.__class__.model_type
         return output







from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


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

__a:     str   					=					{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

__a:     Dict   					=					{
    '''vocab_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'''
    },
    '''tokenizer_config_file''': {
        '''facebook/blenderbot_small-90M''': (
            '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'''
        )
    },
}

__a:     Union[str, Any]   					=					{
    '''facebook/blenderbot_small-90M''': 512,
}
class 		SCREAMING_SNAKE_CASE__	(  UpperCAmelCase     ):

  '''simple docstring'''







  _lowerCamelCase    =  VOCAB_FILES_NAMES
  _lowerCamelCase    =  PRETRAINED_VOCAB_FILES_MAP
  _lowerCamelCase    =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _lowerCamelCase    =  BlenderbotSmallTokenizer


  def __init__(      self		:			List[str]       ,				lowerCamelCase		:			List[str]=None       ,				lowerCamelCase		:			str=None       ,				lowerCamelCase		:			Optional[Any]="<|endoftext|>"       ,				lowerCamelCase		:			Dict="<|endoftext|>"       ,				lowerCamelCase		:			str="<|endoftext|>"       ,				lowerCamelCase		:			str=False       ,				lowerCamelCase		:			Tuple=True       ,				**lowerCamelCase		:			List[str]       ,				)						->	List[Any]:


         """simple docstring"""
         super().__init__(
             ByteLevelBPETokenizer(
                 vocab=lowerCamelCase       ,				merges=lowerCamelCase       ,				add_prefix_space=lowerCamelCase       ,				trim_offsets=lowerCamelCase       ,				)       ,				bos_token=lowerCamelCase       ,				eos_token=lowerCamelCase       ,				unk_token=lowerCamelCase       ,				**lowerCamelCase       ,				)
         _UpperCAmelCase							=    add_prefix_space


  def  lowerCamelCase       (      self		:			Union[str, Any]       ,				lowerCamelCase		:			str       ,				lowerCamelCase		:			Union[str, Any]=None							)						->	str:


         """simple docstring"""
         _UpperCAmelCase							=    [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  lowerCamelCase       (      self		:			Any       ,				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 + sep + token_ids_a + sep							) * [0]