


"""simple docstring"""



import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


UpperCAmelCase      		=			logging.get_logger(__name__)

UpperCAmelCase      		=			'''▁'''

UpperCAmelCase      		=			{'''vocab_file''': '''sentencepiece.bpe.model'''}

UpperCAmelCase      		=			{
    '''vocab_file''': {
        '''facebook/mbart-large-en-ro''': (
            '''https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model'''
        ),
        '''facebook/mbart-large-cc25''': (
            '''https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model'''
        ),
    }
}

UpperCAmelCase      		=			{
    '''facebook/mbart-large-en-ro''': 1_024,
    '''facebook/mbart-large-cc25''': 1_024,
}

# fmt: off
UpperCAmelCase      		=			['''ar_AR''', '''cs_CZ''', '''de_DE''', '''en_XX''', '''es_XX''', '''et_EE''', '''fi_FI''', '''fr_XX''', '''gu_IN''', '''hi_IN''', '''it_IT''', '''ja_XX''', '''kk_KZ''', '''ko_KR''', '''lt_LT''', '''lv_LV''', '''my_MM''', '''ne_NP''', '''nl_XX''', '''ro_RO''', '''ru_RU''', '''si_LK''', '''tr_TR''', '''vi_VN''', '''zh_CN''']
class 					__magic_name__		(			_UpperCAmelCase     ):
       __A			:      Tuple        =   VOCAB_FILES_NAMES
       __A			:      Optional[int]        =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __A			:      Union[str, Any]        =   PRETRAINED_VOCAB_FILES_MAP
       __A			:      Optional[Any]        =   ['input_ids', 'attention_mask']

       __A			:      List[int]        =   []
       __A			:      List[int]        =   []






       def __init__(   self  :    Tuple  ,     snake_case__  :    Any  ,     snake_case__  :    Any="<s>"  ,     snake_case__  :    Any="</s>"  ,     snake_case__  :    Dict="</s>"  ,     snake_case__  :    Optional[Any]="<s>"  ,     snake_case__  :    str="<unk>"  ,     snake_case__  :    Optional[Any]="<pad>"  ,     snake_case__  :    List[Any]="<mask>"  ,     snake_case__  :    Union[str, Any]=None  ,     snake_case__  :    Optional[int]=None  ,     snake_case__  :    Union[str, Any]=None  ,     snake_case__  :    Optional[Dict[str, Any]] = None  ,     snake_case__  :    Any=None  ,     **snake_case__  :    Tuple  ,     ):

              '''simple docstring'''






              lowercase		:Optional[Any]       							=				AddedToken(__UpperCamelCase  ,     lstrip=__UpperCamelCase  ,     rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase  ,     __UpperCamelCase				) else mask_token

              lowercase		:Optional[int]       							=				{} if sp_model_kwargs is None else sp_model_kwargs

              super().__init__(
                  bos_token=__UpperCamelCase  ,     eos_token=__UpperCamelCase  ,     unk_token=__UpperCamelCase  ,     sep_token=__UpperCamelCase  ,     cls_token=__UpperCamelCase  ,     pad_token=__UpperCamelCase  ,     mask_token=__UpperCamelCase  ,     tokenizer_file=__UpperCamelCase  ,     src_lang=__UpperCamelCase  ,     tgt_lang=__UpperCamelCase  ,     additional_special_tokens=__UpperCamelCase  ,     sp_model_kwargs=self.sp_model_kwargs  ,     **__UpperCamelCase  ,     )

              lowercase		:Any       							=				spm.SentencePieceProcessor(**self.sp_model_kwargs				)
              self.sp_model.Load(str(__UpperCamelCase				)				)
              lowercase		:Dict       							=				vocab_file

              # Original fairseq vocab and spm vocab must be "aligned":
              # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
              # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
              # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
              # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

              # Mimic fairseq token-to-id alignment for the first 4 token
              lowercase		:Any       							=				{'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

              # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
              lowercase		:str       							=				1

              lowercase		:Union[str, Any]       							=				len(self.sp_model				)
              lowercase		:int       							=				{
                  code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(__UpperCamelCase				)
              }
              lowercase		:int       							=				{v: k for k, v in self.lang_code_to_id.items()}
              lowercase		:Optional[int]       							=				len(self.sp_model				) + len(self.lang_code_to_id				) + self.fairseq_offset

              self.fairseq_tokens_to_ids.update(self.lang_code_to_id				)
              lowercase		:Union[str, Any]       							=				{v: k for k, v in self.fairseq_tokens_to_ids.items()}
              lowercase		:Dict       							=				list(self.lang_code_to_id.keys()				)

              if additional_special_tokens is not None:
                     # Only add those special tokens if they are not already there.
                     self._additional_special_tokens.extend(
                         [t for t in additional_special_tokens if t not in self._additional_special_tokens]				)

              lowercase		:Tuple       							=				src_lang if src_lang is not None else '''en_XX'''
              lowercase		:Union[str, Any]       							=				self.lang_code_to_id[self._src_lang]
              lowercase		:Union[str, Any]       							=				tgt_lang
              self.set_src_lang_special_tokens(self._src_lang				)






       def __getstate__(   self  :    List[str]				):

              '''simple docstring'''






              lowercase		:List[str]       							=				self.__dict__.copy()
              lowercase		:str       							=				None
              lowercase		:int       							=				self.sp_model.serialized_model_proto()
              return state






       def __setstate__(   self  :    Union[str, Any]  ,     snake_case__  :    Dict				):

              '''simple docstring'''






              lowercase		:Any       							=				d

              # for backward compatibility
              if not hasattr(self  ,     '''sp_model_kwargs'''				):
                     lowercase		:Dict       							=				{}

              lowercase		:Optional[Any]       							=				spm.SentencePieceProcessor(**self.sp_model_kwargs				)
              self.sp_model.LoadFromSerializedProto(self.sp_model_proto				)






       @property
       def  __snake_case						(   self  :    Any				):

              '''simple docstring'''






              return len(self.sp_model				) + len(self.lang_code_to_id				) + self.fairseq_offset + 1  # Plus 1 for the mask token






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

              '''simple docstring'''






              return self._src_lang






       @src_lang.setter
       def  __snake_case						(   self  :    int  ,     snake_case__  :    str				):

              '''simple docstring'''






              lowercase		:List[str]       							=				new_src_lang
              self.set_src_lang_special_tokens(self._src_lang				)






       def  __snake_case						(   self  :    List[str]  ,     snake_case__  :    List[int]  ,     snake_case__  :    Optional[List[int]] = None  ,     snake_case__  :    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				)

              lowercase		:List[Any]       							=				[1] * len(self.prefix_tokens				)
              lowercase		:Optional[int]       							=				[1] * len(self.suffix_tokens				)
              if token_ids_a is None:
                     return prefix_ones + ([0] * len(__UpperCamelCase				)) + suffix_ones
              return prefix_ones + ([0] * len(__UpperCamelCase				)) + ([0] * len(__UpperCamelCase				)) + suffix_ones






       def  __snake_case						(   self  :    str  ,     snake_case__  :    List[int]  ,     snake_case__  :    Optional[List[int]] = None				):

              '''simple docstring'''






              if token_ids_a is None:
                     return self.prefix_tokens + token_ids_a + self.suffix_tokens
              # We don't expect to process pairs, but leave the pair logic for API consistency
              return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens






       def  __snake_case						(   self  :    List[Any]  ,     snake_case__  :    List[int]  ,     snake_case__  :    Optional[List[int]] = None				):

              '''simple docstring'''






              lowercase		:List[Any]       							=				[self.sep_token_id]
              lowercase		: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 + sep + token_ids_a + sep				) * [0]






       def  __snake_case						(   self  :    Optional[Any]  ,     snake_case__  :    Union[str, Any]  ,     snake_case__  :    str  ,     snake_case__  :    Optional[str]  ,     snake_case__  :    Optional[str]  ,     **snake_case__  :    Tuple				):

              '''simple docstring'''






              if src_lang is None or tgt_lang is None:
                     raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''				)
              lowercase		:Union[str, Any]       							=				src_lang
              lowercase		:int       							=				self(__UpperCamelCase  ,     add_special_tokens=__UpperCamelCase  ,     return_tensors=__UpperCamelCase  ,     **__UpperCamelCase				)
              lowercase		:Optional[int]       							=				self.convert_tokens_to_ids(__UpperCamelCase				)
              lowercase		:Union[str, Any]       							=				tgt_lang_id
              return inputs






       def  __snake_case						(   self  :    Optional[int]				):

              '''simple docstring'''






              lowercase		:Tuple       							=				{self.convert_ids_to_tokens(__UpperCamelCase				): i for i in range(self.vocab_size				)}
              vocab.update(self.added_tokens_encoder				)
              return vocab






       def  __snake_case						(   self  :    Tuple  ,     snake_case__  :    str				):

              '''simple docstring'''






              return self.sp_model.encode(__UpperCamelCase  ,     out_type=__UpperCamelCase				)






       def  __snake_case						(   self  :    Dict  ,     snake_case__  :    Any				):

              '''simple docstring'''






              if token in self.fairseq_tokens_to_ids:
                     return self.fairseq_tokens_to_ids[token]
              lowercase		:Tuple       							=				self.sp_model.PieceToId(__UpperCamelCase				)

              # Need to return unknown token if the SP model returned 0
              return spm_id + self.fairseq_offset if spm_id else self.unk_token_id






       def  __snake_case						(   self  :    int  ,     snake_case__  :    List[Any]				):

              '''simple docstring'''






              if index in self.fairseq_ids_to_tokens:
                     return self.fairseq_ids_to_tokens[index]
              return self.sp_model.IdToPiece(index - self.fairseq_offset				)






       def  __snake_case						(   self  :    Dict  ,     snake_case__  :    Dict				):

              '''simple docstring'''






              lowercase		:Dict       							=				''''''.join(__UpperCamelCase				).replace(__UpperCamelCase  ,     ''' '''				).strip()
              return out_string






       def  __snake_case						(   self  :    Tuple  ,     snake_case__  :    str  ,     snake_case__  :    Optional[str] = None				):

              '''simple docstring'''






              if not os.path.isdir(__UpperCamelCase				):
                     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
                     return
              lowercase		:str       							=				os.path.join(
                  __UpperCamelCase  ,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

              if os.path.abspath(self.vocab_file				) != os.path.abspath(__UpperCamelCase				) and os.path.isfile(self.vocab_file				):
                     copyfile(self.vocab_file  ,     __UpperCamelCase				)
              elif not os.path.isfile(self.vocab_file				):
                     with open(__UpperCamelCase  ,     '''wb'''				) as fi:
                            lowercase		:Union[str, Any]       							=				self.sp_model.serialized_model_proto()
                            fi.write(__UpperCamelCase				)

              return (out_vocab_file,)






       def  __snake_case						(   self  :    List[Any]  ,     snake_case__  :    List[str]  ,     snake_case__  :    str = "en_XX"  ,     snake_case__  :    Optional[List[str]] = None  ,     snake_case__  :    str = "ro_RO"  ,     **snake_case__  :    Tuple  ,     ):

              '''simple docstring'''






              lowercase		:List[str]       							=				src_lang
              lowercase		:Union[str, Any]       							=				tgt_lang
              return super().prepare_seqaseq_batch(__UpperCamelCase  ,     __UpperCamelCase  ,     **__UpperCamelCase				)






       def  __snake_case						(   self  :    Tuple				):

              '''simple docstring'''






              return self.set_src_lang_special_tokens(self.src_lang				)






       def  __snake_case						(   self  :    Optional[int]				):

              '''simple docstring'''






              return self.set_tgt_lang_special_tokens(self.tgt_lang				)






       def  __snake_case						(   self  :    List[str]  ,     snake_case__  :    Tuple				):

              '''simple docstring'''






              lowercase		:Optional[int]       							=				self.lang_code_to_id[src_lang]
              lowercase		:str       							=				[]
              lowercase		:int       							=				[self.eos_token_id, self.cur_lang_code]







       def  __snake_case						(   self  :    Optional[int]  ,     snake_case__  :    str				):

              '''simple docstring'''






              lowercase		:List[str]       							=				self.lang_code_to_id[lang]
              lowercase		:Any       							=				[]
              lowercase		:Any       							=				[self.eos_token_id, self.cur_lang_code]





"""simple docstring"""



import unittest

import numpy as np






def       lowerCamelCase					(a_						:np.ndarray				,				a_						:np.ndarray				,				a_						:np.ndarray				,				a_						:np.ndarray | None = None				,				)     ->							np.ndarray:
       lowercase		:str       							=				np.shape(a_)
       lowercase		:Dict       							=				np.shape(a_)
       lowercase		:Optional[int]       							=				np.shape(a_)

       if shape_a[0] != shape_b[0]:
              lowercase		:List[str]       							=				(
                  '''Expected the same number of rows for A and B. '''
                  F"""Instead found A of size {shape_a} and B of size {shape_b}"""
              )
              raise ValueError(a_)

       if shape_b[1] != shape_c[1]:
              lowercase		:List[str]       							=				(
                  '''Expected the same number of columns for B and C. '''
                  F"""Instead found B of size {shape_b} and C of size {shape_c}"""
              )
              raise ValueError(a_)

       lowercase		:Optional[Any]       							=				pseudo_inv
       if a_inv is None:
              try:
                     lowercase		:int       							=				np.linalg.inv(a_)
              except np.linalg.LinAlgError:
                     raise ValueError(
                         '''Input matrix A is not invertible. Cannot compute Schur complement.''')

       return mat_c - mat_b.T @ a_inv @ mat_b
class 					__magic_name__		(			unittest.TestCase     ):






       def  __snake_case						(   self  :    int				):

              '''simple docstring'''






              lowercase		:Dict       							=				np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]				)
              lowercase		:List[str]       							=				np.array([[0, 3], [3, 0], [2, 3]]				)
              lowercase		:List[str]       							=				np.array([[2, 1], [6, 3]]				)

              lowercase		:Any       							=				schur_complement(snake_case__  ,     snake_case__  ,     snake_case__				)

              lowercase		:int       							=				np.block([[a, b], [b.T, c]]				)

              lowercase		:Tuple       							=				np.linalg.det(snake_case__				)
              lowercase		:Any       							=				np.linalg.det(snake_case__				)
              lowercase		:List[Any]       							=				np.linalg.det(snake_case__				)

              self.assertAlmostEqual(snake_case__  ,     det_a * det_s				)






       def  __snake_case						(   self  :    Optional[int]				):

              '''simple docstring'''






              lowercase		:Union[str, Any]       							=				np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]				)
              lowercase		:Union[str, Any]       							=				np.array([[0, 3], [3, 0], [2, 3]]				)
              lowercase		:List[str]       							=				np.array([[2, 1], [6, 3]]				)

              with self.assertRaises(snake_case__				):
                     schur_complement(snake_case__  ,     snake_case__  ,     snake_case__				)







       def  __snake_case						(   self  :    List[Any]				):

              '''simple docstring'''






              lowercase		:List[str]       							=				np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]				)
              lowercase		:int       							=				np.array([[0, 3], [3, 0], [2, 3]]				)
              lowercase		:List[Any]       							=				np.array([[2, 1, 3], [6, 3, 5]]				)

              with self.assertRaises(snake_case__				):
                     schur_complement(snake_case__  ,     snake_case__  ,     snake_case__				)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 unittest.main()

