
"""simple docstring"""


import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

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


SCREAMING_SNAKE_CASE      =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE      =     {
    """vocab_file""": """vocab.txt""",
    """merges_file""": """bpe.codes""",
}

SCREAMING_SNAKE_CASE      =     {
    """vocab_file""": {
        """vinai/phobert-base""": """https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt""",
        """vinai/phobert-large""": """https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt""",
    },
    """merges_file""": {
        """vinai/phobert-base""": """https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes""",
        """vinai/phobert-large""": """https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes""",
    },
}

SCREAMING_SNAKE_CASE      =     {
    """vinai/phobert-base""": 256,
    """vinai/phobert-large""": 256,
}



def 	lowerCamelCase__			(							UpperCAmelCase_				)->							List[Any]:







       """simple docstring"""
       UpperCamelCase					 =		set()
       UpperCamelCase					 =		word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)				)
              UpperCamelCase					 =		char

       UpperCamelCase					 =		set(UpperCAmelCase_				)
       return pairs



class   __a  (      _lowerCAmelCase	):
       UpperCamelCase_		:					Optional[Any]   =			VOCAB_FILES_NAMES
       UpperCamelCase_		:					List[str]   =			PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase_		:					Dict   =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






       def __init__(  self :							Tuple       ,      UpperCAmelCase_ :							Optional[Any]       ,      UpperCAmelCase_ :							int       ,      UpperCAmelCase_ :							Tuple="<s>"       ,      UpperCAmelCase_ :							Optional[int]="</s>"       ,      UpperCAmelCase_ :							Dict="</s>"       ,      UpperCAmelCase_ :							List[Any]="<s>"       ,      UpperCAmelCase_ :							int="<unk>"       ,      UpperCAmelCase_ :							List[str]="<pad>"       ,      UpperCAmelCase_ :							List[str]="<mask>"       ,      **UpperCAmelCase_ :							Any       ,      )->  Dict:







              """simple docstring"""
              super().__init__(
                  bos_token=UpperCAmelCase_       ,      eos_token=UpperCAmelCase_       ,      unk_token=UpperCAmelCase_       ,      sep_token=UpperCAmelCase_       ,      cls_token=UpperCAmelCase_       ,      pad_token=UpperCAmelCase_       ,      mask_token=UpperCAmelCase_       ,      **UpperCAmelCase_       ,      )

              UpperCamelCase					 =		vocab_file
              UpperCamelCase					 =		merges_file

              UpperCamelCase					 =		{}
              UpperCamelCase					 =		0
              UpperCamelCase					 =		1
              UpperCamelCase					 =		2
              UpperCamelCase					 =		3

              self.add_from_file(UpperCAmelCase_			)

              UpperCamelCase					 =		{v: k for k, v in self.encoder.items()}

              with open(UpperCAmelCase_       ,      encoding="utf-8"			) as merges_handle:
                     UpperCamelCase					 =		merges_handle.read().split("\n"			)[:-1]
              UpperCamelCase					 =		[tuple(merge.split()[:-1]			) for merge in merges]
              UpperCamelCase					 =		dict(zip(UpperCAmelCase_       ,      range(len(UpperCAmelCase_			)			)			)			)
              UpperCamelCase					 =		{}






       def 	_SCREAMING_SNAKE_CASE       (  self :							List[str]       ,      UpperCAmelCase_ :							List[int]       ,      UpperCAmelCase_ :							Optional[List[int]] = None			)->  List[int]:







              """simple docstring"""

              if token_ids_a is None:
                     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
              UpperCamelCase					 =		[self.cls_token_id]
              UpperCamelCase					 =		[self.sep_token_id]
              return cls + token_ids_a + sep + sep + token_ids_a + sep






       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[Any]       ,      UpperCAmelCase_ :							List[int]       ,      UpperCAmelCase_ :							Optional[List[int]] = None       ,      UpperCAmelCase_ :							bool = False			)->  List[int]:







              """simple docstring"""

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

              if token_ids_a is None:
                     return [1] + ([0] * len(UpperCAmelCase_			)) + [1]
              return [1] + ([0] * len(UpperCAmelCase_			)) + [1, 1] + ([0] * len(UpperCAmelCase_			)) + [1]






       def 	_SCREAMING_SNAKE_CASE       (  self :							List[str]       ,      UpperCAmelCase_ :							List[int]       ,      UpperCAmelCase_ :							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]






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







              """simple docstring"""
              return len(self.encoder			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							List[Any]			)->  str:







              """simple docstring"""
              return dict(self.encoder       ,      **self.added_tokens_encoder			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							Tuple       ,      UpperCAmelCase_ :							str			)->  str:







              """simple docstring"""
              if token in self.cache:
                     return self.cache[token]
              UpperCamelCase					 =		tuple(UpperCAmelCase_			)
              UpperCamelCase					 =		tuple(list(word[:-1]			) + [word[-1] + "</w>"]			)
              UpperCamelCase					 =		get_pairs(UpperCAmelCase_			)

              if not pairs:
                     return token

              while True:
                     UpperCamelCase					 =		min(UpperCAmelCase_       ,      key=lambda UpperCAmelCase_			: self.bpe_ranks.get(UpperCAmelCase_       ,      float("inf"			)			)			)
                     if bigram not in self.bpe_ranks:
                            break
                     UpperCamelCase ,       UpperCamelCase					 =		bigram
                     UpperCamelCase					 =		[]
                     UpperCamelCase					 =		0
                     while i < len(UpperCAmelCase_			):
                            try:
                                   UpperCamelCase					 =		word.index(UpperCAmelCase_       ,      UpperCAmelCase_			)
                            except ValueError:
                                   new_word.extend(word[i:]			)
                                   break
                            else:
                                   new_word.extend(word[i:j]			)
                                   UpperCamelCase					 =		j

                            if word[i] == first and i < len(UpperCAmelCase_			) - 1 and word[i + 1] == second:
                                   new_word.append(first + second			)
                                   i += 2
                            else:
                                   new_word.append(word[i]			)
                                   i += 1
                     UpperCamelCase					 =		tuple(UpperCAmelCase_			)
                     UpperCamelCase					 =		new_word
                     if len(UpperCAmelCase_			) == 1:
                            break
                     else:
                            UpperCamelCase					 =		get_pairs(UpperCAmelCase_			)
              UpperCamelCase					 =		"@@ ".join(UpperCAmelCase_			)
              UpperCamelCase					 =		word[:-4]
              UpperCamelCase					 =		word
              return word






       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[Any]       ,      UpperCAmelCase_ :							Any			)->  str:







              """simple docstring"""
              UpperCamelCase					 =		[]

              UpperCamelCase					 =		re.findall(r"\S+\n?"       ,      UpperCAmelCase_			)

              for token in words:
                     split_tokens.extend(list(self.bpe(UpperCAmelCase_			).split(" "			)			)			)
              return split_tokens






       def 	_SCREAMING_SNAKE_CASE       (  self :							List[Any]       ,      UpperCAmelCase_ :							int			)->  List[str]:







              """simple docstring"""
              return self.encoder.get(UpperCAmelCase_       ,      self.encoder.get(self.unk_token			)			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							int       ,      UpperCAmelCase_ :							int			)->  str:







              """simple docstring"""
              return self.decoder.get(UpperCAmelCase_       ,      self.unk_token			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							List[str]       ,      UpperCAmelCase_ :							List[str]			)->  Union[str, Any]:







              """simple docstring"""
              UpperCamelCase					 =		" ".join(UpperCAmelCase_			).replace("@@ "       ,      ""			).strip()
              return out_string






       def 	_SCREAMING_SNAKE_CASE       (  self :							Union[str, Any]       ,      UpperCAmelCase_ :							str       ,      UpperCAmelCase_ :							Optional[str] = None			)->  Tuple[str]:







              """simple docstring"""
              if not os.path.isdir(UpperCAmelCase_			):
                     logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
                     return
              UpperCamelCase					 =		os.path.join(
                  UpperCAmelCase_       ,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)
              UpperCamelCase					 =		os.path.join(
                  UpperCAmelCase_       ,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]			)

              if os.path.abspath(self.vocab_file			) != os.path.abspath(UpperCAmelCase_			):
                     copyfile(self.vocab_file       ,      UpperCAmelCase_			)

              if os.path.abspath(self.merges_file			) != os.path.abspath(UpperCAmelCase_			):
                     copyfile(self.merges_file       ,      UpperCAmelCase_			)

              return out_vocab_file, out_merge_file






       def 	_SCREAMING_SNAKE_CASE       (  self :							int       ,      UpperCAmelCase_ :							Tuple			)->  Tuple:







              """simple docstring"""
              if isinstance(UpperCAmelCase_       ,      UpperCAmelCase_			):
                     try:
                            with open(UpperCAmelCase_       ,      "r"       ,      encoding="utf-8"			) as fd:
                                   self.add_from_file(UpperCAmelCase_			)
                     except FileNotFoundError as fnfe:
                            raise fnfe
                     except UnicodeError:
                            raise Exception(f"Incorrect encoding detected in {f}, please rebuild the dataset"			)
                     return

              UpperCamelCase					 =		f.readlines()
              for lineTmp in lines:
                     UpperCamelCase					 =		lineTmp.strip()
                     UpperCamelCase					 =		line.rfind(" "			)
                     if idx == -1:
                            raise ValueError("Incorrect dictionary format, expected '<token> <cnt>'"			)
                     UpperCamelCase					 =		line[:idx]
                     UpperCamelCase					 =		len(self.encoder			)







"""simple docstring"""


import copy

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


SCREAMING_SNAKE_CASE      =     logging.get_logger(__name__)



class   __a  (      _lowerCAmelCase	):
       UpperCamelCase_		:					Optional[int]   =			'''upernet'''






       def __init__(  self :							int       ,      UpperCAmelCase_ :							Optional[Any]=None       ,      UpperCAmelCase_ :							Any=512       ,      UpperCAmelCase_ :							Union[str, Any]=0.02       ,      UpperCAmelCase_ :							List[Any]=[1, 2, 3, 6]       ,      UpperCAmelCase_ :							List[str]=True       ,      UpperCAmelCase_ :							Union[str, Any]=0.4       ,      UpperCAmelCase_ :							Union[str, Any]=384       ,      UpperCAmelCase_ :							Optional[Any]=256       ,      UpperCAmelCase_ :							Optional[int]=1       ,      UpperCAmelCase_ :							str=False       ,      UpperCAmelCase_ :							Tuple=255       ,      **UpperCAmelCase_ :							str       ,      )->  Tuple:







              """simple docstring"""
              super().__init__(**UpperCAmelCase_			)

              if backbone_config is None:
                     logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."			)
                     UpperCamelCase					 =		CONFIG_MAPPING["resnet"](out_features=["stage1", "stage2", "stage3", "stage4"]			)
              elif isinstance(UpperCAmelCase_       ,      UpperCAmelCase_			):
                     UpperCamelCase					 =		backbone_config.get("model_type"			)
                     UpperCamelCase					 =		CONFIG_MAPPING[backbone_model_type]
                     UpperCamelCase					 =		config_class.from_dict(UpperCAmelCase_			)

              UpperCamelCase					 =		backbone_config
              UpperCamelCase					 =		hidden_size
              UpperCamelCase					 =		initializer_range
              UpperCamelCase					 =		pool_scales
              UpperCamelCase					 =		use_auxiliary_head
              UpperCamelCase					 =		auxiliary_loss_weight
              UpperCamelCase					 =		auxiliary_in_channels
              UpperCamelCase					 =		auxiliary_channels
              UpperCamelCase					 =		auxiliary_num_convs
              UpperCamelCase					 =		auxiliary_concat_input
              UpperCamelCase					 =		loss_ignore_index






       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[int]			)->  Dict:







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





