






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

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


A_       :Dict       =						{'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

A_       :Dict       =						{
    '''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'''
        ),
    },
}

A_       :str       =						{
    '''unc-nlp/lxmert-base-uncased''': 512,
}

A_       :Dict       =						{
    '''unc-nlp/lxmert-base-uncased''': {'''do_lower_case''': True},
}




class 				__A     (			a ):





				"""simple docstring"""







				UpperCamelCase__ :      Optional[Any]			 =VOCAB_FILES_NAMES
				UpperCamelCase__ :      List[str]			 =PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase__ :      Union[str, Any]			 =PRETRAINED_INIT_CONFIGURATION
				UpperCamelCase__ :      int			 =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase__ :      str			 =LxmertTokenizer


				def __init__( self							,  lowerCamelCase__=None							,  lowerCamelCase__=None							,  lowerCamelCase__=True							,  lowerCamelCase__="[UNK]"							,  lowerCamelCase__="[SEP]"							,  lowerCamelCase__="[PAD]"							,  lowerCamelCase__="[CLS]"							,  lowerCamelCase__="[MASK]"							,  lowerCamelCase__=True							,  lowerCamelCase__=None							,  **lowerCamelCase__							,  ):




									"""simple docstring"""

									super().__init__(
									    lowerCamelCase__							,  tokenizer_file=lowerCamelCase__							,  do_lower_case=lowerCamelCase__							,  unk_token=lowerCamelCase__							,  sep_token=lowerCamelCase__							,  pad_token=lowerCamelCase__							,  cls_token=lowerCamelCase__							,  mask_token=lowerCamelCase__							,  tokenize_chinese_chars=lowerCamelCase__							,  strip_accents=lowerCamelCase__							,  **lowerCamelCase__							,  )

									__UpperCamelCase      :					Dict       		=json.loads(self.backend_tokenizer.normalizer.__getstate__()    )
									if (
									    normalizer_state.get('lowercase'							,  lowerCamelCase__    ) != do_lower_case
									    or normalizer_state.get('strip_accents'							,  lowerCamelCase__    ) != strip_accents
									    or normalizer_state.get('handle_chinese_chars'							,  lowerCamelCase__    ) != tokenize_chinese_chars
									):
														__UpperCamelCase      :					str       		=getattr(lowerCamelCase__							,  normalizer_state.pop('type'    )    )
														__UpperCamelCase      :					Any       		=do_lower_case
														__UpperCamelCase      :					Dict       		=strip_accents
														__UpperCamelCase      :					List[str]       		=tokenize_chinese_chars
														__UpperCamelCase      :					Union[str, Any]       		=normalizer_class(**lowerCamelCase__    )

									__UpperCamelCase      :					Union[str, Any]       		=do_lower_case


				def       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__=None    ):




									"""simple docstring"""

									__UpperCamelCase      :					List[str]       		=[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       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__ = None    ):




									"""simple docstring"""

									__UpperCamelCase      :					str       		=[self.sep_token_id]
									__UpperCamelCase      :					Union[str, Any]       		=[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       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__ = None    ):




									"""simple docstring"""

									__UpperCamelCase      :					int       		=self._tokenizer.model.save(lowerCamelCase__							,  name=lowerCamelCase__    )
									return tuple(lowerCamelCase__    )









from __future__ import annotations

import math

lowerCamelCase       :       List[Any]        =				'''2020.9.26'''
lowerCamelCase       :       str        =				'''xcodz-dot, cclaus, dhruvmanila'''
def 					snake_case_						(   lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float					):
							if not all(isinstance(lowerCAmelCase_				,				(float, int)					) for val in locals().values()					):
														__lowercase					:							str			=   F"Input values must either be float or int: {list(locals().values()					)}"
														raise TypeError(lowerCAmelCase_					)
							__lowercase					:							List[Any]			=   ((x * distance) / (z + distance)) * scale
							__lowercase					:							Tuple			=   ((y * distance) / (z + distance)) * scale
							return projected_x, projected_y
def 					snake_case_						(   lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  float				,				lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  float					):
							if not isinstance(lowerCAmelCase_				,				lowerCAmelCase_					):
														raise TypeError("""Axis must be a str"""					)
							__lowercase					:							Optional[int]			=   locals()
							del input_variables["axis"]
							if not all(isinstance(lowerCAmelCase_				,				(float, int)					) for val in input_variables.values()					):
														__lowercase					:							List[str]			=   (
														    """Input values except axis must either be float or int: """
														    F"{list(input_variables.values()					)}"
														)
														raise TypeError(lowerCAmelCase_					)
							__lowercase					:							Tuple			=   (angle % 360) / 450 * 180 / math.pi
							if axis == "z":
														__lowercase					:							int			=   x * math.cos(lowerCAmelCase_					) - y * math.sin(lowerCAmelCase_					)
														__lowercase					:							Tuple			=   y * math.cos(lowerCAmelCase_					) + x * math.sin(lowerCAmelCase_					)
														__lowercase					:							Union[str, Any]			=   z
							elif axis == "x":
														__lowercase					:							str			=   y * math.cos(lowerCAmelCase_					) - z * math.sin(lowerCAmelCase_					)
														__lowercase					:							Dict			=   z * math.cos(lowerCAmelCase_					) + y * math.sin(lowerCAmelCase_					)
														__lowercase					:							List[str]			=   x
							elif axis == "y":
														__lowercase					:							List[str]			=   x * math.cos(lowerCAmelCase_					) - z * math.sin(lowerCAmelCase_					)
														__lowercase					:							List[str]			=   z * math.cos(lowerCAmelCase_					) + x * math.sin(lowerCAmelCase_					)
														__lowercase					:							List[Any]			=   y
							else:
														raise ValueError("""not a valid axis, choose one of 'x', 'y', 'z'"""					)

							return new_x, new_y, new_z


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	print(f'''{convert_to_ad(1.0, 2.0, 3.0, 10.0, 10.0) = }''')
	print(f'''{rotate(1.0, 2.0, 3.0, "y", 90.0) = }''')