
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


lowercase__	:str										=					{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

lowercase__	:List[Any]										=					{
    "vocab_file": {
        "unc-nlp/lxmert-base-uncased": "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt",
    },
    "tokenizer_file": {
        "unc-nlp/lxmert-base-uncased": (
            "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

lowercase__	:Union[str, Any]										=					{
    "unc-nlp/lxmert-base-uncased": 512,
}

lowercase__	:str										=					{
    "unc-nlp/lxmert-base-uncased": {"do_lower_case": True},
}







class        lowercase	(      SCREAMING_SNAKE_CASE__	):
							lowercase_ : Tuple       =VOCAB_FILES_NAMES
							lowercase_ : int       =PRETRAINED_VOCAB_FILES_MAP
							lowercase_ : Any       =PRETRAINED_INIT_CONFIGURATION
							lowercase_ : Any       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_ : Dict       =LxmertTokenizer




							def __init__(       self     ,A__=None     ,A__=None     ,A__=True     ,A__="[UNK]"     ,A__="[SEP]"     ,A__="[PAD]"     ,A__="[CLS]"     ,A__="[MASK]"     ,A__=True     ,A__=None     ,**A__     ,):
												super().__init__(
												    A__     ,tokenizer_file=A__     ,do_lower_case=A__     ,unk_token=A__     ,sep_token=A__     ,pad_token=A__     ,cls_token=A__     ,mask_token=A__     ,tokenize_chinese_chars=A__     ,strip_accents=A__     ,**A__     ,)

												lowercase					=		json.loads(self.backend_tokenizer.normalizer.__getstate__())
												if (
												    normalizer_state.get('''lowercase'''     ,A__) != do_lower_case
												    or normalizer_state.get('''strip_accents'''     ,A__) != strip_accents
												    or normalizer_state.get('''handle_chinese_chars'''     ,A__) != tokenize_chinese_chars
												):
																	lowercase					=		getattr(A__     ,normalizer_state.pop('''type'''))
																	lowercase					=		do_lower_case
																	lowercase					=		strip_accents
																	lowercase					=		tokenize_chinese_chars
																	lowercase					=		normalizer_class(**A__)

												lowercase					=		do_lower_case




							def 				A__   (       self     ,A__     ,A__=None):
												lowercase					=		[self.cls_token_id] + token_ids_a + [self.sep_token_id]

												if token_ids_a:
																	output += token_ids_a + [self.sep_token_id]

												return output




							def 				A__   (       self     ,A__     ,A__ = None):
												lowercase					=		[self.sep_token_id]
												lowercase					=		[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) * [0] + len(token_ids_a + sep) * [1]





							def 				A__   (       self     ,A__     ,A__ = None):
												lowercase					=		self._tokenizer.model.save(A__     ,name=A__)
												return tuple(A__)






from numpy import exp, pi, sqrt



def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__ = 0.0				,    lowerCAmelCase__ = 1.0	):
					'''simple docstring'''
					return 1 / sqrt(2 * pi * sigma**2	) * exp(-((x - mu) ** 2) / (2 * sigma**2)	)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




