'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

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


__a: List[Any]          =   {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

__a: 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"""
        ),
    },
}

__a: Union[str, Any]          =   {
    """unc-nlp/lxmert-base-uncased""": 5_12,
}

__a: Union[str, Any]          =   {
    """unc-nlp/lxmert-base-uncased""": {"""do_lower_case""": True},
}



class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE							=    VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE							=    PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE							=    PRETRAINED_INIT_CONFIGURATION
       SCREAMING_SNAKE_CASE							=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE							=    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	,   )  ->  Tuple:
        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	,   )

        lowercase__				:    Any  =					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
        ):
         lowercase__				:    Optional[int]  =					getattr(__lowerCAmelCase	,   normalizer_state.pop('''type''' ) )
         lowercase__				:    List[Any]  =					do_lower_case
         lowercase__				:    Optional[int]  =					strip_accents
         lowercase__				:    Dict  =					tokenize_chinese_chars
         lowercase__				:    Optional[int]  =					normalizer_class(**__lowerCAmelCase )

        lowercase__				:    List[Any]  =					do_lower_case

       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase=None )  ->  int:
        lowercase__				:    List[Any]  =					[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 _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None )  ->  List[int]:
        lowercase__				:    List[Any]  =					[self.sep_token_id]
        lowercase__				:    int  =					[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 _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None )  ->  Tuple[str]:
        lowercase__				:    str  =					self._tokenizer.model.save(__lowerCAmelCase	,   name=__lowerCAmelCase )
        return tuple(__lowerCAmelCase )


'''simple docstring'''

import doctest
from collections import deque

import numpy as np



class 			UpperCAmelCase  :





       '''simple docstring'''



       def __init__(						self )  ->  None:
        lowercase__				:    str  =					[2, 1, 2, -1]
        lowercase__				:    str  =					[1, 2, 3, 4]


       def _lowerCAmelCase(						self )  ->  list[float]:
        lowercase__				:    Optional[Any]  =					len(self.first_signal )
        lowercase__				:    Union[str, Any]  =					len(self.second_signal )

        lowercase__				:    int  =					max(__lowerCAmelCase	,   __lowerCAmelCase )

        # create a zero matrix of max_length x max_length
        lowercase__				:    List[str]  =					[[0] * max_length for i in range(__lowerCAmelCase )]

        # fills the smaller signal with zeros to make both signals of same length
        if length_first_signal < length_second_signal:
         self.first_signal += [0] * (max_length - length_first_signal)
        elif length_first_signal > length_second_signal:
         self.second_signal += [0] * (max_length - length_second_signal)
        for i in range(__lowerCAmelCase ):
         lowercase__				:    int  =					deque(self.second_signal )
         rotated_signal.rotate(__lowerCAmelCase )
         for j, item in enumerate(__lowerCAmelCase ):
          matrix[i][j] += item

        # multiply the matrix with the first signal
        lowercase__				:    Optional[int]  =					np.matmul(np.transpose(__lowerCAmelCase )	,   np.transpose(self.first_signal ) )

        # rounding-off to two decimal places
        return [round(__lowerCAmelCase	,   2 ) for i in final_signal]


if __name__ == "__main__":
  doctest.testmod()

