





'''simple docstring'''


import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase :					Optional[int] 							=logging.get_logger(__name__)

lowerCAmelCase :					List[str] 							='''▁'''

lowerCAmelCase :					Any 							={'''vocab_file''': '''sentencepiece.bpe.model'''}

lowerCAmelCase :					Tuple 							={
    '''vocab_file''': {
        '''facebook/mbart-large-en-ro''': (
            '''https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model'''
        ),
        '''facebook/mbart-large-cc25''': (
            '''https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model'''
        ),
    }
}

lowerCAmelCase :					List[str] 							={
    '''facebook/mbart-large-en-ro''': 1_024,
    '''facebook/mbart-large-cc25''': 1_024,
}

# fmt: off
lowerCAmelCase :					Optional[int] 							=['''ar_AR''', '''cs_CZ''', '''de_DE''', '''en_XX''', '''es_XX''', '''et_EE''', '''fi_FI''', '''fr_XX''', '''gu_IN''', '''hi_IN''', '''it_IT''', '''ja_XX''', '''kk_KZ''', '''ko_KR''', '''lt_LT''', '''lv_LV''', '''my_MM''', '''ne_NP''', '''nl_XX''', '''ro_RO''', '''ru_RU''', '''si_LK''', '''tr_TR''', '''vi_VN''', '''zh_CN''']
class 				a_       (    _lowerCAmelCase							):
     __A								=      VOCAB_FILES_NAMES
     __A								=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A								=      PRETRAINED_VOCAB_FILES_MAP
     __A								=      ["input_ids", "attention_mask"]

     __A								=      []
     __A								=      []





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





        """simple docstring"""




        lowercase_      :Dict         =			AddedToken(_SCREAMING_SNAKE_CASE     ,				lstrip=_SCREAMING_SNAKE_CASE     ,				rstrip=_SCREAMING_SNAKE_CASE						) if isinstance(_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE						) else mask_token

        lowercase_      :Union[str, Any]         =			{} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            bos_token=_SCREAMING_SNAKE_CASE     ,				eos_token=_SCREAMING_SNAKE_CASE     ,				unk_token=_SCREAMING_SNAKE_CASE     ,				sep_token=_SCREAMING_SNAKE_CASE     ,				cls_token=_SCREAMING_SNAKE_CASE     ,				pad_token=_SCREAMING_SNAKE_CASE     ,				mask_token=_SCREAMING_SNAKE_CASE     ,				tokenizer_file=_SCREAMING_SNAKE_CASE     ,				src_lang=_SCREAMING_SNAKE_CASE     ,				tgt_lang=_SCREAMING_SNAKE_CASE     ,				additional_special_tokens=_SCREAMING_SNAKE_CASE     ,				sp_model_kwargs=self.sp_model_kwargs     ,				**_SCREAMING_SNAKE_CASE     ,				)

        lowercase_      :Tuple         =			spm.SentencePieceProcessor(**self.sp_model_kwargs						)
        self.sp_model.Load(str(_SCREAMING_SNAKE_CASE						)						)
        lowercase_      :int         =			vocab_file

        # Original fairseq vocab and spm vocab must be "aligned":
        # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
        # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
        # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
        # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

        # Mimic fairseq token-to-id alignment for the first 4 token
        lowercase_      :List[Any]         =			{'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

        # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
        lowercase_      :Union[str, Any]         =			1

        lowercase_      :Tuple         =			len(self.sp_model						)
        lowercase_      :Optional[int]         =			{
            code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(_SCREAMING_SNAKE_CASE						)
        }
        lowercase_      :str         =			{v: k for k, v in self.lang_code_to_id.items()}
        lowercase_      :str         =			len(self.sp_model						) + len(self.lang_code_to_id						) + self.fairseq_offset

        self.fairseq_tokens_to_ids.update(self.lang_code_to_id						)
        lowercase_      :int         =			{v: k for k, v in self.fairseq_tokens_to_ids.items()}
        lowercase_      :int         =			list(self.lang_code_to_id.keys()						)

        if additional_special_tokens is not None:
           # Only add those special tokens if they are not already there.
           self._additional_special_tokens.extend(
               [t for t in additional_special_tokens if t not in self._additional_special_tokens]						)

        lowercase_      :Optional[Any]         =			src_lang if src_lang is not None else '''en_XX'''
        lowercase_      :List[Any]         =			self.lang_code_to_id[self._src_lang]
        lowercase_      :Tuple         =			tgt_lang
        self.set_src_lang_special_tokens(self._src_lang						)





     def __getstate__(			self		: Any						):





        """simple docstring"""




        lowercase_      :Tuple         =			self.__dict__.copy()
        lowercase_      :Optional[int]         =			None
        lowercase_      :Union[str, Any]         =			self.sp_model.serialized_model_proto()
        return state





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





        """simple docstring"""




        lowercase_      :List[Any]         =			d

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

        lowercase_      :str         =			spm.SentencePieceProcessor(**self.sp_model_kwargs						)
        self.sp_model.LoadFromSerializedProto(self.sp_model_proto						)





     @property
     def 							lowercase__				(			self		: Union[str, Any]						):





        """simple docstring"""




        return len(self.sp_model						) + len(self.lang_code_to_id						) + self.fairseq_offset + 1  # Plus 1 for the mask token





     @property
     def 							lowercase__				(			self		: str						):





        """simple docstring"""




        return self._src_lang





     @src_lang.setter
     def 							lowercase__				(			self		: Optional[int]     ,				lowercase		: Union[str, Any]						):





        """simple docstring"""




        lowercase_      :str         =			new_src_lang
        self.set_src_lang_special_tokens(self._src_lang						)





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





        """simple docstring"""




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

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





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





        """simple docstring"""




        if token_ids_a is None:
           return self.prefix_tokens + token_ids_a + self.suffix_tokens
        # 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.suffix_tokens





     def 							lowercase__				(			self		: Optional[Any]     ,				lowercase		: Optional[Any]     ,				lowercase		: Tuple = None						):





        """simple docstring"""




        lowercase_      :Any         =			[self.sep_token_id]
        lowercase_      :Optional[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]





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





        """simple docstring"""




        if src_lang is None or tgt_lang is None:
           raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model"						)
        lowercase_      :List[str]         =			src_lang
        lowercase_      :Any         =			self(_SCREAMING_SNAKE_CASE     ,				add_special_tokens=_SCREAMING_SNAKE_CASE     ,				return_tensors=_SCREAMING_SNAKE_CASE     ,				**_SCREAMING_SNAKE_CASE						)
        lowercase_      :Optional[Any]         =			self.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE						)
        lowercase_      :List[Any]         =			tgt_lang_id
        return inputs





     def 							lowercase__				(			self		: Optional[int]						):





        """simple docstring"""




        lowercase_      :Any         =			{self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE						): i for i in range(self.vocab_size						)}
        vocab.update(self.added_tokens_encoder						)
        return vocab





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





        """simple docstring"""




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





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





        """simple docstring"""




        if token in self.fairseq_tokens_to_ids:
           return self.fairseq_tokens_to_ids[token]
        lowercase_      :Tuple         =			self.sp_model.PieceToId(_SCREAMING_SNAKE_CASE						)

        # Need to return unknown token if the SP model returned 0
        return spm_id + self.fairseq_offset if spm_id else self.unk_token_id





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





        """simple docstring"""




        if index in self.fairseq_ids_to_tokens:
           return self.fairseq_ids_to_tokens[index]
        return self.sp_model.IdToPiece(index - self.fairseq_offset						)





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





        """simple docstring"""




        lowercase_      :int         =			''''''.join(_SCREAMING_SNAKE_CASE						).replace(_SCREAMING_SNAKE_CASE     ,				" "						).strip()
        return out_string





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





        """simple docstring"""




        if not os.path.isdir(_SCREAMING_SNAKE_CASE						):
           logger.error(F'Vocabulary path ({save_directory}) should be a directory'						)
           return
        lowercase_      :int         =			os.path.join(
            _SCREAMING_SNAKE_CASE     ,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

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

        return (out_vocab_file,)





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





        """simple docstring"""




        lowercase_      :Optional[Any]         =			src_lang
        lowercase_      :List[Any]         =			tgt_lang
        return super().prepare_seqaseq_batch(_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE     ,				**_SCREAMING_SNAKE_CASE						)





     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        return self.set_src_lang_special_tokens(self.src_lang						)





     def 							lowercase__				(			self		: Dict						):





        """simple docstring"""




        return self.set_tgt_lang_special_tokens(self.tgt_lang						)





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





        """simple docstring"""




        lowercase_      :Optional[int]         =			self.lang_code_to_id[src_lang]
        lowercase_      :int         =			[]
        lowercase_      :Any         =			[self.eos_token_id, self.cur_lang_code]







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





        """simple docstring"""




        lowercase_      :Tuple         =			self.lang_code_to_id[lang]
        lowercase_      :Dict         =			[]
        lowercase_      :List[Any]         =			[self.eos_token_id, self.cur_lang_code]









'''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


