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

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


_A  =	logging.get_logger(__name__)

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

_A  =	{
    "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",
    },
}

_A  =	{
    "vinai/phobert-base": 2_56,
    "vinai/phobert-large": 2_56,
}






def   lowerCamelCase__							(							__lowerCAmelCase    :    Optional[int]							):




			"""simple docstring"""


			lowerCAmelCase_         =      set()
			lowerCAmelCase_         =      word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)							)
						lowerCAmelCase_         =      char

			lowerCAmelCase_         =      set(__lowerCAmelCase							)
			return pairs





class       _lowerCAmelCase   (      __a			):
				_lowercase     						=VOCAB_FILES_NAMES
				_lowercase     						=PRETRAINED_VOCAB_FILES_MAP
				_lowercase     						=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




				def __init__(   self							,							_UpperCamelCase							,							_UpperCamelCase							,							_UpperCamelCase="<s>"							,							_UpperCamelCase="</s>"							,							_UpperCamelCase="</s>"							,							_UpperCamelCase="<s>"							,							_UpperCamelCase="<unk>"							,							_UpperCamelCase="<pad>"							,							_UpperCamelCase="<mask>"							,							**_UpperCamelCase							,							)							-> Tuple:
							super().__init__(
							    bos_token=_UpperCamelCase							,							eos_token=_UpperCamelCase							,							unk_token=_UpperCamelCase							,							sep_token=_UpperCamelCase							,							cls_token=_UpperCamelCase							,							pad_token=_UpperCamelCase							,							mask_token=_UpperCamelCase							,							**_UpperCamelCase							,							)

							lowerCAmelCase_         =      vocab_file
							lowerCAmelCase_         =      merges_file

							lowerCAmelCase_         =      {}
							lowerCAmelCase_         =      0
							lowerCAmelCase_         =      1
							lowerCAmelCase_         =      2
							lowerCAmelCase_         =      3

							self.add_from_file(_UpperCamelCase	)

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

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




				def 	__a		(   self							,							_UpperCamelCase							,							_UpperCamelCase = None	)							-> List[int]:

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




				def 	__a		(   self							,							_UpperCamelCase							,							_UpperCamelCase = None							,							_UpperCamelCase = False	)							-> List[int]:

							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 	__a		(   self							,							_UpperCamelCase							,							_UpperCamelCase = None	)							-> List[int]:
							lowerCAmelCase_         =      [self.sep_token_id]
							lowerCAmelCase_         =      [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 	__a		(   self	)							-> List[Any]:
							return len(self.encoder	)




				def 	__a		(   self	)							-> List[Any]:
							return dict(self.encoder							,							**self.added_tokens_encoder	)




				def 	__a		(   self							,							_UpperCamelCase	)							-> Dict:
							if token in self.cache:
										return self.cache[token]
							lowerCAmelCase_         =      tuple(_UpperCamelCase	)
							lowerCAmelCase_         =      tuple(list(word[:-1]	) + [word[-1] + "</w>"]	)
							lowerCAmelCase_         =      get_pairs(_UpperCamelCase	)

							if not pairs:
										return token

							while True:
										lowerCAmelCase_         =      min(_UpperCamelCase							,							key=lambda _UpperCamelCase	: self.bpe_ranks.get(_UpperCamelCase							,							float("inf"	)	)	)
										if bigram not in self.bpe_ranks:
													break
										lowerCAmelCase_      ,    lowerCAmelCase_         =      bigram
										lowerCAmelCase_         =      []
										lowerCAmelCase_         =      0
										while i < len(_UpperCamelCase	):
													try:
																lowerCAmelCase_         =      word.index(_UpperCamelCase							,							_UpperCamelCase	)
													except ValueError:
																new_word.extend(word[i:]	)
																break
													else:
																new_word.extend(word[i:j]	)
																lowerCAmelCase_         =      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
										lowerCAmelCase_         =      tuple(_UpperCamelCase	)
										lowerCAmelCase_         =      new_word
										if len(_UpperCamelCase	) == 1:
													break
										else:
													lowerCAmelCase_         =      get_pairs(_UpperCamelCase	)
							lowerCAmelCase_         =      "@@ ".join(_UpperCamelCase	)
							lowerCAmelCase_         =      word[:-4]
							lowerCAmelCase_         =      word
							return word




				def 	__a		(   self							,							_UpperCamelCase	)							-> Optional[int]:
							lowerCAmelCase_         =      []

							lowerCAmelCase_         =      re.findall(r"\S+\n?"							,							_UpperCamelCase	)

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




				def 	__a		(   self							,							_UpperCamelCase	)							-> List[str]:
							return self.encoder.get(_UpperCamelCase							,							self.encoder.get(self.unk_token	)	)




				def 	__a		(   self							,							_UpperCamelCase	)							-> List[Any]:
							return self.decoder.get(_UpperCamelCase							,							self.unk_token	)




				def 	__a		(   self							,							_UpperCamelCase	)							-> Tuple:
							lowerCAmelCase_         =      " ".join(_UpperCamelCase	).replace("@@ "							,							""	).strip()
							return out_string




				def 	__a		(   self							,							_UpperCamelCase							,							_UpperCamelCase = None	)							-> Tuple[str]:
							if not os.path.isdir(_UpperCamelCase	):
										logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""	)
										return
							lowerCAmelCase_         =      os.path.join(
							    _UpperCamelCase							,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)
							lowerCAmelCase_         =      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 	__a		(   self							,							_UpperCamelCase	)							-> List[str]:
							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

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





from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available





@dataclass
class       _lowerCAmelCase   (      __a			):
				_lowercase     						=42
				_lowercase     						=42


if is_transformers_available() and is_torch_available():
			from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline



