

'''simple docstring'''





from typing import Dict, List, Optional

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


A__						=							logging.get_logger(__name__)


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

# Unicode defines 1,114,112 total “codepoints”
A__						=							1114112

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

A__						=							0xE0_00
A__						=							0xE0_01
A__						=							0xE0_02
A__						=							0xE0_03
A__						=							0xE0_04

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

class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE			):
	_lowercase  :   List[Any]       				=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







	def __init__(   self: int  , __UpperCamelCase: List[str]=chr(__UpperCamelCase      )  , __UpperCamelCase: str=chr(__UpperCamelCase      )  , __UpperCamelCase: Optional[int]=chr(__UpperCamelCase      )  , __UpperCamelCase: Optional[Any]=chr(__UpperCamelCase      )  , __UpperCamelCase: List[str]=chr(__UpperCamelCase      )  , __UpperCamelCase: Tuple=chr(__UpperCamelCase      )  , __UpperCamelCase: Optional[int]=False  , __UpperCamelCase: Union[str, Any]=20_48  , **__UpperCamelCase: Any  , ):

						'''simple docstring'''





						__magic_name__							=    AddedToken(__UpperCamelCase  , lstrip=__UpperCamelCase  , rstrip=__UpperCamelCase      ) if isinstance(__UpperCamelCase  , __UpperCamelCase      ) else bos_token
						__magic_name__							=    AddedToken(__UpperCamelCase  , lstrip=__UpperCamelCase  , rstrip=__UpperCamelCase      ) if isinstance(__UpperCamelCase  , __UpperCamelCase      ) else eos_token
						__magic_name__							=    AddedToken(__UpperCamelCase  , lstrip=__UpperCamelCase  , rstrip=__UpperCamelCase      ) if isinstance(__UpperCamelCase  , __UpperCamelCase      ) else sep_token
						__magic_name__							=    AddedToken(__UpperCamelCase  , lstrip=__UpperCamelCase  , rstrip=__UpperCamelCase      ) if isinstance(__UpperCamelCase  , __UpperCamelCase      ) else cls_token
						__magic_name__							=    AddedToken(__UpperCamelCase  , lstrip=__UpperCamelCase  , rstrip=__UpperCamelCase      ) if isinstance(__UpperCamelCase  , __UpperCamelCase      ) else pad_token

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

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

						# Creates a mapping for looking up the IDs of special symbols.
						__magic_name__							=    {}
						for codepoint, name in SPECIAL_CODEPOINTS.items():
											__magic_name__							=    codepoint

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

						__magic_name__							=    UNICODE_VOCAB_SIZE
						__magic_name__							=    len(self._special_codepoints      )







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

						'''simple docstring'''





						return self._unicode_vocab_size







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]  , __UpperCamelCase: str      ):

						'''simple docstring'''





						return list(__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict  , __UpperCamelCase: str      ):

						'''simple docstring'''





						try:
											return ord(__UpperCamelCase      )
						except TypeError:
											raise ValueError(F'invalid token: \'{token}\''      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]  , __UpperCamelCase: int      ):

						'''simple docstring'''





						try:
											if index in SPECIAL_CODEPOINTS:
																return SPECIAL_CODEPOINTS[index]
											return chr(__UpperCamelCase      )
						except TypeError:
											raise ValueError(F'invalid id: {index}'      )







	def 	_SCREAMING_SNAKE_CASE							(   self: int  , __UpperCamelCase: Optional[Any]      ):

						'''simple docstring'''





						return "".join(__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]  , __UpperCamelCase: List[int]  , __UpperCamelCase: Optional[List[int]] = None      ):

						'''simple docstring'''





						__magic_name__							=    [self.sep_token_id]
						__magic_name__							=    [self.cls_token_id]

						__magic_name__							=    cls + token_ids_a + sep
						if token_ids_a is not None:
											result += token_ids_a + sep
						return result







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

						'''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      )

						__magic_name__							=    [1] + ([0] * len(__UpperCamelCase      )) + [1]
						if token_ids_a is not None:
											result += ([0] * len(__UpperCamelCase      )) + [1]
						return result







	def 	_SCREAMING_SNAKE_CASE							(   self: str  , __UpperCamelCase: List[int]  , __UpperCamelCase: Optional[List[int]] = None      ):

						'''simple docstring'''





						__magic_name__							=    [self.sep_token_id]
						__magic_name__							=    [self.cls_token_id]

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







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]  , __UpperCamelCase: str  , __UpperCamelCase: Optional[str] = None      ):

						'''simple docstring'''





						return ()







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A__						=							logging.get_logger(__name__)

A__						=							{
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}

class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE			):
	_lowercase  :   Optional[int]       				=  "camembert"







	def __init__(   self: Optional[Any]  , __UpperCamelCase: Any=3_05_22  , __UpperCamelCase: Tuple=7_68  , __UpperCamelCase: str=12  , __UpperCamelCase: Optional[int]=12  , __UpperCamelCase: List[str]=30_72  , __UpperCamelCase: Any="gelu"  , __UpperCamelCase: Optional[int]=0.1  , __UpperCamelCase: Any=0.1  , __UpperCamelCase: str=5_12  , __UpperCamelCase: Dict=2  , __UpperCamelCase: str=0.02  , __UpperCamelCase: List[Any]=1E-12  , __UpperCamelCase: List[Any]=1  , __UpperCamelCase: Any=0  , __UpperCamelCase: Union[str, Any]=2  , __UpperCamelCase: Dict="absolute"  , __UpperCamelCase: Any=True  , __UpperCamelCase: Any=None  , **__UpperCamelCase: Union[str, Any]  , ):

						'''simple docstring'''





						super().__init__(pad_token_id=__UpperCamelCase  , bos_token_id=__UpperCamelCase  , eos_token_id=__UpperCamelCase  , **__UpperCamelCase      )

						__magic_name__							=    vocab_size
						__magic_name__							=    hidden_size
						__magic_name__							=    num_hidden_layers
						__magic_name__							=    num_attention_heads
						__magic_name__							=    hidden_act
						__magic_name__							=    intermediate_size
						__magic_name__							=    hidden_dropout_prob
						__magic_name__							=    attention_probs_dropout_prob
						__magic_name__							=    max_position_embeddings
						__magic_name__							=    type_vocab_size
						__magic_name__							=    initializer_range
						__magic_name__							=    layer_norm_eps
						__magic_name__							=    position_embedding_type
						__magic_name__							=    use_cache
						__magic_name__							=    classifier_dropout




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE			):







	@property
	def 	_SCREAMING_SNAKE_CASE							(   self: Dict      ):

						'''simple docstring'''





						if self.task == "multiple-choice":
											__magic_name__							=    {0: 'batch', 1: 'choice', 2: 'sequence'}
						else:
											__magic_name__							=    {0: 'batch', 1: 'sequence'}
						return OrderedDict(
						    [
						        ('input_ids', dynamic_axis),
						        ('attention_mask', dynamic_axis),
						    ]      )




