





'''simple docstring'''


import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase :					Any 							=logging.get_logger(__name__)

lowerCAmelCase :					Union[str, Any] 							='''▁'''

lowerCAmelCase :					Union[str, Any] 							={
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
}

lowerCAmelCase :					List[Any] 							={
    '''vocab_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'''
        ),
    },
    '''spm_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'''
        )
    },
}

lowerCAmelCase :					Optional[int] 							={
    '''facebook/s2t-small-librispeech-asr''': 1_024,
}

lowerCAmelCase :					str 							=['''pt''', '''fr''', '''ru''', '''nl''', '''ro''', '''it''', '''es''', '''de''']

lowerCAmelCase :					List[str] 							={'''mustc''': MUSTC_LANGS}
class 				a_       (    _lowerCAmelCase							):
     __A								=      VOCAB_FILES_NAMES
     __A								=      PRETRAINED_VOCAB_FILES_MAP
     __A								=      MAX_MODEL_INPUT_SIZES
     __A								=      ["input_ids", "attention_mask"]

     __A								=      []





     def __init__(			self		: Optional[Any]     ,				lowercase		: Optional[int]     ,				lowercase		: Optional[int]     ,				lowercase		: Optional[Any]="<s>"     ,				lowercase		: Dict="</s>"     ,				lowercase		: Union[str, Any]="<pad>"     ,				lowercase		: str="<unk>"     ,				lowercase		: Optional[int]=False     ,				lowercase		: int=False     ,				lowercase		: Optional[Any]=None     ,				lowercase		: Tuple=None     ,				lowercase		: Optional[Dict[str, Any]] = None     ,				**lowercase		: List[str]     ,				):





        """simple docstring"""




        lowercase_      :Optional[Any]         =			{} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            bos_token=lowercase     ,				eos_token=lowercase     ,				unk_token=lowercase     ,				pad_token=lowercase     ,				do_upper_case=lowercase     ,				do_lower_case=lowercase     ,				tgt_lang=lowercase     ,				lang_codes=lowercase     ,				sp_model_kwargs=self.sp_model_kwargs     ,				**lowercase     ,				)
        lowercase_      :int         =			do_upper_case
        lowercase_      :List[str]         =			do_lower_case

        lowercase_      :Tuple         =			load_json(lowercase						)
        lowercase_      :str         =			{v: k for k, v in self.encoder.items()}
        lowercase_      :Optional[int]         =			spm_file
        lowercase_      :Optional[Any]         =			load_spm(lowercase     ,				self.sp_model_kwargs						)

        if lang_codes is not None:
           lowercase_      :Optional[Any]         =			lang_codes
           lowercase_      :Tuple         =			LANGUAGES[lang_codes]
           lowercase_      :Tuple         =			[F'<lang:{lang}>' for lang in self.langs]
           lowercase_      :int         =			{lang: self.sp_model.PieceToId(F'<lang:{lang}>'						) for lang in self.langs}

           lowercase_      :Optional[Any]         =			self.lang_tokens
           lowercase_      :List[Any]         =			tgt_lang if tgt_lang is not None else self.langs[0]

           self.set_tgt_lang_special_tokens(self._tgt_lang						)
        else:
           lowercase_      :int         =			{}





     @property
     def 							lowercase__				(			self		: int						):





        """simple docstring"""




        return len(self.encoder						)





     @property
     def 							lowercase__				(			self		: int						):





        """simple docstring"""




        return self._tgt_lang





     @tgt_lang.setter
     def 							lowercase__				(			self		: List[str]     ,				lowercase		: str						):





        """simple docstring"""




        lowercase_      :List[Any]         =			new_tgt_lang
        self.set_tgt_lang_special_tokens(lowercase						)





     def 							lowercase__				(			self		: int     ,				lowercase		: str						):





        """simple docstring"""




        lowercase_      :str         =			self.lang_code_to_id[tgt_lang]
        lowercase_      :Tuple         =			[lang_code_id]





     def 							lowercase__				(			self		: Optional[Any]     ,				lowercase		: str						):





        """simple docstring"""




        return self.sp_model.encode(lowercase     ,				out_type=lowercase						)





     def 							lowercase__				(			self		: Optional[int]     ,				lowercase		: List[Any]						):





        """simple docstring"""




        return self.encoder.get(lowercase     ,				self.encoder[self.unk_token]						)





     def 							lowercase__				(			self		: Any     ,				lowercase		: int						):





        """simple docstring"""




        return self.decoder.get(lowercase     ,				self.unk_token						)





     def 							lowercase__				(			self		: Optional[Any]     ,				lowercase		: List[str]						):





        """simple docstring"""




        lowercase_      :int         =			[]
        lowercase_      :str         =			""
        for token in tokens:
           # make sure that special tokens are not decoded using sentencepiece model
           if token in self.all_special_tokens:
              lowercase_      :str         =			self.sp_model.decode(lowercase						)
              out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
              lowercase_      :Tuple         =			[]
           else:
              current_sub_tokens.append(lowercase						)
        lowercase_      :List[Any]         =			self.sp_model.decode(lowercase						)
        out_string += decoded.upper() if self.do_upper_case else decoded
        return out_string.strip()





     def 							lowercase__				(			self		: int     ,				lowercase		: List[str]     ,				lowercase		: Optional[Any]=None						):





        """simple docstring"""




        if token_ids_a is None:
           return self.prefix_tokens + token_ids_a + [self.eos_token_id]
        # We don't expect to process pairs, but leave the pair logic for API consistency
        return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]





     def 							lowercase__				(			self		: List[str]     ,				lowercase		: List[int]     ,				lowercase		: Optional[List[int]] = None     ,				lowercase		: bool = False						):





        """simple docstring"""




        if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=lowercase     ,				token_ids_a=lowercase     ,				already_has_special_tokens=lowercase						)

        lowercase_      :Union[str, Any]         =			[1] * len(self.prefix_tokens						)
        lowercase_      :str         =			[1]
        if token_ids_a is None:
           return prefix_ones + ([0] * len(lowercase						)) + suffix_ones
        return prefix_ones + ([0] * len(lowercase						)) + ([0] * len(lowercase						)) + suffix_ones





     def 							lowercase__				(			self		: Optional[int]						):





        """simple docstring"""




        lowercase_      :Optional[Any]         =			self.encoder.copy()
        vocab.update(self.added_tokens_encoder						)
        return vocab





     def __getstate__(			self		: List[str]						):





        """simple docstring"""




        lowercase_      :Dict         =			self.__dict__.copy()
        lowercase_      :Optional[Any]         =			None
        return state





     def __setstate__(			self		: Optional[Any]     ,				lowercase		: Dict						):





        """simple docstring"""




        lowercase_      :Tuple         =			d

        # for backward compatibility
        if not hasattr(self     ,				"sp_model_kwargs"						):
           lowercase_      :Union[str, Any]         =			{}

        lowercase_      :Optional[int]         =			load_spm(self.spm_file     ,				self.sp_model_kwargs						)







     def 							lowercase__				(			self		: Optional[int]     ,				lowercase		: str     ,				lowercase		: Optional[str] = None						):





        """simple docstring"""




        lowercase_      :Tuple         =			Path(lowercase						)
        assert save_dir.is_dir(), F'{save_directory} should be a directory'
        lowercase_      :Dict         =			save_dir / (
            (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
        )
        lowercase_      :Optional[int]         =			save_dir / (
            (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
        )

        save_json(self.encoder     ,				lowercase						)

        if os.path.abspath(self.spm_file						) != os.path.abspath(lowercase						) and os.path.isfile(self.spm_file						):
           copyfile(self.spm_file     ,				lowercase						)
        elif not os.path.isfile(self.spm_file						):
           with open(lowercase     ,				"wb"						) as fi:
              lowercase_      :int         =			self.sp_model.serialized_model_proto()
              fi.write(lowercase						)

        return (str(lowercase						), str(lowercase						))







def 							UpperCAmelCase_  (						__lowerCamelCase : str     ,__lowerCamelCase : Dict[str, Any]			):
   lowercase_      :Union[str, Any]         =			sentencepiece.SentencePieceProcessor(**__lowerCamelCase			)
   spm.Load(str(__lowerCamelCase			)			)
   return spm
def 							UpperCAmelCase_  (						__lowerCamelCase : str			):
   with open(__lowerCamelCase     ,"r"			) as f:
      return json.load(__lowerCamelCase			)


def 							UpperCAmelCase_  (						__lowerCamelCase : int     ,__lowerCamelCase : str			):
   with open(__lowerCamelCase     ,"w"			) as f:
      json.dump(__lowerCamelCase     ,__lowerCamelCase     ,indent=2			)









'''simple docstring'''


import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig


lowerCAmelCase :					Any 							={
    '''facebook/maskformer-swin-base-ade''': (
        '''https://huggingface.co/facebook/maskformer-swin-base-ade/blob/main/config.json'''
    )
    # See all MaskFormer models at https://huggingface.co/models?filter=maskformer
}

lowerCAmelCase :					int 							=logging.get_logger(__name__)
class 				a_       (    _lowerCAmelCase							):
     __A								=      "maskformer"
     __A								=      {"hidden_size": "mask_feature_size"}
     __A								=      ["resnet", "swin"]
     __A								=      ["detr"]





     def __init__(			self		: List[Any]     ,				lowercase		: int = 256     ,				lowercase		: int = 256     ,				lowercase		: float = 0.1     ,				lowercase		: bool = False     ,				lowercase		: Optional[Dict] = None     ,				lowercase		: Optional[Dict] = None     ,				lowercase		: float = 0.02     ,				lowercase		: float = 1.0     ,				lowercase		: float = 1.0     ,				lowercase		: float = 1.0     ,				lowercase		: float = 20.0     ,				lowercase		: Optional[bool] = None     ,				**lowercase		: Any     ,				):





        """simple docstring"""




        if backbone_config is None:
           # fall back to https://huggingface.co/microsoft/swin-base-patch4-window12-384-in22k
           lowercase_      :Any         =			SwinConfig(
               image_size=384     ,				in_channels=3     ,				patch_size=4     ,				embed_dim=128     ,				depths=[2, 2, 18, 2]     ,				num_heads=[4, 8, 16, 32]     ,				window_size=12     ,				drop_path_rate=0.3     ,				out_features=["stage1", "stage2", "stage3", "stage4"]     ,				)

        if isinstance(lowercase     ,				lowercase						):
           lowercase_      :Optional[int]         =			backbone_config.pop("model_type"						)
           lowercase_      :Optional[int]         =			CONFIG_MAPPING[backbone_model_type]
           lowercase_      :int         =			config_class.from_dict(lowercase						)

        # 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 MaskFormer. '
               F'Supported model types: {",".join(self.backbones_supported						)}'						)

        if decoder_config is None:
           # fall back to https://huggingface.co/facebook/detr-resnet-50
           lowercase_      :Optional[Any]         =			DetrConfig()
        else:
           # verify that the decoder is supported
           lowercase_      :Tuple         =			(
               decoder_config.pop("model_type"						) if isinstance(lowercase     ,				lowercase						) else decoder_config.model_type
           )
           if decoder_type not in self.decoders_supported:
              raise ValueError(
                  F'Transformer Decoder {decoder_type} not supported, please use one of'
                  F' {",".join(self.decoders_supported						)}'						)
           if isinstance(lowercase     ,				lowercase						):
              lowercase_      :str         =			CONFIG_MAPPING[decoder_type]
              lowercase_      :List[str]         =			config_class.from_dict(lowercase						)

        lowercase_      :str         =			backbone_config
        lowercase_      :Union[str, Any]         =			decoder_config
        # main feature dimension for the model
        lowercase_      :Any         =			fpn_feature_size
        lowercase_      :Optional[int]         =			mask_feature_size
        # initializer
        lowercase_      :List[Any]         =			init_std
        lowercase_      :Union[str, Any]         =			init_xavier_std
        # Hungarian matcher && loss
        lowercase_      :List[str]         =			cross_entropy_weight
        lowercase_      :int         =			dice_weight
        lowercase_      :List[str]         =			mask_weight
        lowercase_      :Optional[Any]         =			use_auxiliary_loss
        lowercase_      :str         =			no_object_weight
        lowercase_      :int         =			output_auxiliary_logits

        lowercase_      :Optional[Any]         =			self.decoder_config.encoder_attention_heads
        lowercase_      :int         =			self.decoder_config.num_hidden_layers
        super().__init__(**lowercase						)





     @classmethod
     def 							lowercase__				(			cls		: Tuple     ,				lowercase		: PretrainedConfig     ,				lowercase		: PretrainedConfig     ,				**lowercase		: Union[str, Any]						):





        """simple docstring"""




        return cls(
            backbone_config=lowercase     ,				decoder_config=lowercase     ,				**lowercase     ,				)







     def 							lowercase__				(			self		: Optional[Any]						):





        """simple docstring"""




        lowercase_      :str         =			copy.deepcopy(self.__dict__						)
        lowercase_      :int         =			self.backbone_config.to_dict()
        lowercase_      :List[Any]         =			self.decoder_config.to_dict()
        lowercase_      :Optional[Any]         =			self.__class__.model_type
        return output


