



import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

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


_snake_case	=						logging.get_logger(__name__)


_snake_case	=						{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

_snake_case	=						{
    "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"
        )
    },
}

_snake_case	=						{"facebook/blenderbot_small-90M": 512}






def        A       (      _lowerCamelCase						):





							'''simple docstring'''




							_lowerCAmelCase  :							str				     =					set()
							_lowerCAmelCase  :							Union[str, Any]				     =					word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)						)
														_lowerCAmelCase  :							Optional[Any]				     =					char

							_lowerCAmelCase  :							Dict				     =					set(_lowerCamelCase						)
							return pairs



class 						UpperCAmelCase_					( a):
							lowerCamelCase__         =	VOCAB_FILES_NAMES
							lowerCamelCase__         =	PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase__         =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase__         =	['input_ids', 'attention_mask']







							def __init__(     self,    __a,    __a,    __a="__start__",    __a="__end__",    __a="__unk__",    __a="__null__",    **__a,    ):

														'''simple docstring'''

														super().__init__(unk_token=__a,    bos_token=__a,    eos_token=__a,    pad_token=__a,    **__a)

														with open(__a,    encoding="utf-8") as vocab_handle:
																					_lowerCAmelCase  :							int				     =					json.load(__a)
														_lowerCAmelCase  :							Union[str, Any]				     =					{v: k for k, v in self.encoder.items()}
														with open(__a,    encoding="utf-8") as merges_handle:
																					_lowerCAmelCase  :							int				     =					merges_handle.read().split("\n")[1:-1]
														_lowerCAmelCase  :							Union[str, Any]				     =					[tuple(merge.split()) for merge in merges]
														_lowerCAmelCase  :							Any				     =					dict(zip(__a,    range(len(__a))))
														_lowerCAmelCase  :							Any				     =					{}







							@property
							def      snake_case__   (     self):

														'''simple docstring'''

														return len(self.encoder)







							def      snake_case__   (     self):

														'''simple docstring'''

														return dict(self.encoder,    **self.added_tokens_encoder)







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														if token in self.cache:
																					return self.cache[token]
														_lowerCAmelCase  :							Optional[int]				     =					re.sub("([.,!?()])",    R" \1",    __a)
														_lowerCAmelCase  :							Tuple				     =					re.sub("(')",    R" \1 ",    __a)
														_lowerCAmelCase  :							Tuple				     =					re.sub(R"\s{2,}",    " ",    __a)
														if "\n" in token:
																					_lowerCAmelCase  :							Any				     =					token.replace("\n",    " __newln__")

														_lowerCAmelCase  :							Dict				     =					token.split(" ")
														_lowerCAmelCase  :							Any				     =					[]
														for token in tokens:
																					if not len(__a):
																												continue

																					_lowerCAmelCase  :							Any				     =					token.lower()
																					_lowerCAmelCase  :							List[str]				     =					tuple(__a)
																					_lowerCAmelCase  :							Union[str, Any]				     =					tuple(list(word[:-1]) + [word[-1] + "</w>"])
																					_lowerCAmelCase  :							int				     =					get_pairs(__a)

																					if not pairs:
																												words.append(__a)
																												continue

																					while True:
																												_lowerCAmelCase  :							Tuple				     =					min(__a,    key=lambda __a: self.bpe_ranks.get(__a,    float("inf")))
																												if bigram not in self.bpe_ranks:
																																			break
																												_lowerCAmelCase     ,					_lowerCAmelCase  :							List[Any]				     =					bigram
																												_lowerCAmelCase  :							int				     =					[]
																												_lowerCAmelCase  :							str				     =					0

																												while i < len(__a):
																																			try:
																																										_lowerCAmelCase  :							Optional[int]				     =					word.index(__a,    __a)
																																										new_word.extend(word[i:j])
																																										_lowerCAmelCase  :							str				     =					j
																																			except ValueError:
																																										new_word.extend(word[i:])
																																										break

																																			if word[i] == first and i < len(__a) - 1 and word[i + 1] == second:
																																										new_word.append(first + second)
																																										i += 2
																																			else:
																																										new_word.append(word[i])
																																										i += 1
																												_lowerCAmelCase  :							Optional[Any]				     =					tuple(__a)
																												_lowerCAmelCase  :							List[Any]				     =					new_word
																												if len(__a) == 1:
																																			break
																												else:
																																			_lowerCAmelCase  :							Optional[int]				     =					get_pairs(__a)
																					_lowerCAmelCase  :							Tuple				     =					"@@ ".join(__a)
																					_lowerCAmelCase  :							List[Any]				     =					word[:-4]

																					_lowerCAmelCase  :							int				     =					word
																					words.append(__a)
														return " ".join(__a)







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[int]				     =					[]

														_lowerCAmelCase  :							Dict				     =					re.findall(R"\S+\n?",    __a)

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







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														_lowerCAmelCase  :							Union[str, Any]				     =					token.lower()
														return self.encoder.get(__a,    self.encoder.get(self.unk_token))







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

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







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[int]				     =					" ".join(__a).replace("@@ ",    "").strip()
														return out_string







							def      snake_case__   (     self,    __a,    __a = None):

														'''simple docstring'''

														if not os.path.isdir(__a):
																					logger.error(f"Vocabulary path ({save_directory}) should be a directory")
																					return
														_lowerCAmelCase  :							Optional[int]				     =					os.path.join(
														    __a,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
														_lowerCAmelCase  :							List[str]				     =					os.path.join(
														    __a,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

														with open(__a,    "w",    encoding="utf-8") as f:
																					f.write(json.dumps(self.encoder,    indent=2,    sort_keys=__a,    ensure_ascii=__a) + "\n")

														_lowerCAmelCase  :							List[Any]				     =					0
														with open(__a,    "w",    encoding="utf-8") as writer:
																					writer.write("#version: 0.2\n")
																					for bpe_tokens, token_index in sorted(self.bpe_ranks.items(),    key=lambda __a: kv[1]):
																												if index != token_index:
																																			logger.warning(
																																			    f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
																																			    " Please check that the tokenizer is not corrupted!")
																																			_lowerCAmelCase  :							Tuple				     =					token_index
																												writer.write(" ".join(__a) + "\n")
																												index += 1

														return vocab_file, merge_file





from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case	=						logging.get_logger(__name__)

_snake_case	=						{
    "weiweishi/roc-bert-base-zh": "https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json",
}



class 						UpperCAmelCase_					( a):
							lowerCamelCase__         =	'roc_bert'







							def __init__(     self,    __a=3_0522,    __a=768,    __a=12,    __a=12,    __a=3072,    __a="gelu",    __a=0.1,    __a=0.1,    __a=512,    __a=2,    __a=0.02,    __a=1E-12,    __a=True,    __a=0,    __a="absolute",    __a=None,    __a=True,    __a=True,    __a=768,    __a=910,    __a=512,    __a=2_4858,    __a=True,    **__a,    ):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[Any]				     =					vocab_size
														_lowerCAmelCase  :							Optional[Any]				     =					max_position_embeddings
														_lowerCAmelCase  :							Union[str, Any]				     =					hidden_size
														_lowerCAmelCase  :							str				     =					num_hidden_layers
														_lowerCAmelCase  :							List[Any]				     =					num_attention_heads
														_lowerCAmelCase  :							int				     =					intermediate_size
														_lowerCAmelCase  :							Optional[int]				     =					hidden_act
														_lowerCAmelCase  :							Optional[Any]				     =					hidden_dropout_prob
														_lowerCAmelCase  :							Optional[Any]				     =					attention_probs_dropout_prob
														_lowerCAmelCase  :							Union[str, Any]				     =					initializer_range
														_lowerCAmelCase  :							Optional[Any]				     =					type_vocab_size
														_lowerCAmelCase  :							int				     =					layer_norm_eps
														_lowerCAmelCase  :							Union[str, Any]				     =					use_cache
														_lowerCAmelCase  :							Optional[int]				     =					enable_pronunciation
														_lowerCAmelCase  :							Dict				     =					enable_shape
														_lowerCAmelCase  :							Optional[Any]				     =					pronunciation_embed_dim
														_lowerCAmelCase  :							Any				     =					pronunciation_vocab_size
														_lowerCAmelCase  :							List[str]				     =					shape_embed_dim
														_lowerCAmelCase  :							int				     =					shape_vocab_size
														_lowerCAmelCase  :							Optional[int]				     =					concat_input
														_lowerCAmelCase  :							Dict				     =					position_embedding_type
														_lowerCAmelCase  :							Tuple				     =					classifier_dropout
														super().__init__(pad_token_id=__a,    **__a)
