



from typing import Dict, List, Optional

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


_snake_case	=						logging.get_logger(__name__)


_snake_case	=						{
    "nielsr/canine-s": 2048,
}

# Unicode defines 1,114,112 total “codepoints”
_snake_case	=						111_4112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
_snake_case	=						0

_snake_case	=						0xe_0_0_0
_snake_case	=						0xe_0_0_1
_snake_case	=						0xe_0_0_2
_snake_case	=						0xe_0_0_3
_snake_case	=						0xe_0_0_4

# Maps special codepoints to human-readable names.
_snake_case	=						{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
_snake_case	=						{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}



class 						UpperCAmelCase_					( a):
							lowerCamelCase__         =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







							def __init__(     self,    __a=chr(__a),    __a=chr(__a),    __a=chr(__a),    __a=chr(__a),    __a=chr(__a),    __a=chr(__a),    __a=False,    __a=2048,    **__a,    ):

														'''simple docstring'''

														_lowerCAmelCase  :							str				     =					AddedToken(__a,    lstrip=__a,    rstrip=__a) if isinstance(__a,    __a) else bos_token
														_lowerCAmelCase  :							List[Any]				     =					AddedToken(__a,    lstrip=__a,    rstrip=__a) if isinstance(__a,    __a) else eos_token
														_lowerCAmelCase  :							Optional[Any]				     =					AddedToken(__a,    lstrip=__a,    rstrip=__a) if isinstance(__a,    __a) else sep_token
														_lowerCAmelCase  :							Tuple				     =					AddedToken(__a,    lstrip=__a,    rstrip=__a) if isinstance(__a,    __a) else cls_token
														_lowerCAmelCase  :							str				     =					AddedToken(__a,    lstrip=__a,    rstrip=__a) if isinstance(__a,    __a) else pad_token

														# Mask token behave like a normal word, i.e. include the space before it
														_lowerCAmelCase  :							Tuple				     =					AddedToken(__a,    lstrip=__a,    rstrip=__a) if isinstance(__a,    __a) else mask_token

														super().__init__(
														    bos_token=__a,    eos_token=__a,    sep_token=__a,    cls_token=__a,    pad_token=__a,    mask_token=__a,    add_prefix_space=__a,    model_max_length=__a,    **__a,    )

														# Creates a mapping for looking up the IDs of special symbols.
														_lowerCAmelCase  :							Dict[str, int]				     =					{}
														for codepoint, name in SPECIAL_CODEPOINTS.items():
																					_lowerCAmelCase  :							Dict				     =					codepoint

														# Creates a mapping for looking up the string forms of special symbol IDs.
														_lowerCAmelCase  :							Dict[int, str]				     =					{
														    codepoint: name for name, codepoint in self._special_codepoints.items()
														}

														_lowerCAmelCase  :							Optional[int]				     =					UNICODE_VOCAB_SIZE
														_lowerCAmelCase  :							Any				     =					len(self._special_codepoints)







							@property
							def      snake_case__   (     self):

														'''simple docstring'''

														return self._unicode_vocab_size







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														return list(__a)







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														try:
																					return ord(__a)
														except TypeError:
																					raise ValueError(f"invalid token: '{token}'")







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														try:
																					if index in SPECIAL_CODEPOINTS:
																												return SPECIAL_CODEPOINTS[index]
																					return chr(__a)
														except TypeError:
																					raise ValueError(f"invalid id: {index}")







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														return "".join(__a)







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

														'''simple docstring'''

														_lowerCAmelCase  :							Any				     =					[self.sep_token_id]
														_lowerCAmelCase  :							Optional[Any]				     =					[self.cls_token_id]

														_lowerCAmelCase  :							Optional[Any]				     =					cls + token_ids_a + sep
														if token_ids_a is not None:
																					result += token_ids_a + sep
														return result







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

														'''simple docstring'''

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

														_lowerCAmelCase  :							Union[str, Any]				     =					[1] + ([0] * len(__a)) + [1]
														if token_ids_a is not None:
																					result += ([0] * len(__a)) + [1]
														return result







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

														'''simple docstring'''

														_lowerCAmelCase  :							Any				     =					[self.sep_token_id]
														_lowerCAmelCase  :							int				     =					[self.cls_token_id]

														_lowerCAmelCase  :							Any				     =					len(cls + token_ids_a + sep) * [0]
														if token_ids_a is not None:
																					result += len(token_ids_a + sep) * [1]
														return result







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

														'''simple docstring'''

														return ()





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)
