




"""simple docstring"""

from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload







class    __lowercase     :







						"""simple docstring"""







						def __init__(self   ,		lowercase__ = None       ):
											if components is None:
																snake_case_					:		Any 					=					[]
											snake_case_					:		Dict 					=					list(lowercase__       )







						def __len__(self       ):
											return len(self.__components       )







						def __str__(self       ):
											return "(" + ",".join(map(lowercase__   ,		self.__components       )       ) + ")"







						def __add__(self   ,		lowercase__       ):
											snake_case_					:		Any 					=					len(self       )
											if size == len(lowercase__       ):
																snake_case_					:		Union[str, Any] 					=					[self.__components[i] + other.component(lowercase__       ) for i in range(lowercase__       )]
																return Vector(lowercase__       )
											else:
																raise Exception("""must have the same size"""       )







						def __sub__(self   ,		lowercase__       ):
											snake_case_					:		Optional[Any] 					=					len(self       )
											if size == len(lowercase__       ):
																snake_case_					:		str 					=					[self.__components[i] - other.component(lowercase__       ) for i in range(lowercase__       )]
																return Vector(lowercase__       )
											else:  # error case
																raise Exception("""must have the same size"""       )







						@overload
						def __mul__(self   ,		lowercase__       ):
											...







						@overload
						def __mul__(self   ,		lowercase__       ):
											...







						def __mul__(self   ,		lowercase__       ):
											if isinstance(lowercase__   ,		(float, int)       ):
																snake_case_					:		str 					=					[c * other for c in self.__components]
																return Vector(lowercase__       )
											elif isinstance(lowercase__   ,		lowercase__       ) and len(self       ) == len(lowercase__       ):
																snake_case_					:		str 					=					len(self       )
																snake_case_					:		List[Any] 					=					[self.__components[i] * other.component(lowercase__       ) for i in range(lowercase__       )]
																return sum(lowercase__       )
											else:  # error case
																raise Exception("""invalid operand!"""       )







						def 						__UpperCamelCase							(self       ):
											return Vector(self.__components       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if isinstance(lowercase__   ,		lowercase__       ) and -len(self.__components       ) <= i < len(self.__components       ):
																return self.__components[i]
											else:
																raise Exception("""index out of range"""       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											assert -len(self.__components       ) <= pos < len(self.__components       )
											snake_case_					:		Any 					=					value







						def 						__UpperCamelCase							(self       ):
											if len(self.__components       ) == 0:
																raise Exception("""Vector is empty"""       )
											snake_case_					:		int 					=					[c**2 for c in self.__components]
											return math.sqrt(sum(lowercase__       )       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__ = False       ):
											snake_case_					:		str 					=					self * other
											snake_case_					:		Dict 					=					self.euclidean_length() * other.euclidean_length()
											if deg:
																return math.degrees(math.acos(num / den       )       )
											else:
																return math.acos(num / den       )







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int			):



					"""simple docstring"""





					assert isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
					return Vector([0] * dimension			)







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int				,    SCREAMING_SNAKE_CASE__ :  int			):



					"""simple docstring"""





					assert isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			) and (isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			))
					snake_case_					:		int 					=					[0] * dimension
					snake_case_					:		Tuple 					=					1
					return Vector(SCREAMING_SNAKE_CASE__			)







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  float				,    SCREAMING_SNAKE_CASE__ :  Vector				,    SCREAMING_SNAKE_CASE__ :  Vector			):



					"""simple docstring"""





					assert (
					    isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
					    and isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
					    and (isinstance(SCREAMING_SNAKE_CASE__				,    (int, float)			))
					)
					return x * scalar + y







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int				,    SCREAMING_SNAKE_CASE__ :  int				,    SCREAMING_SNAKE_CASE__ :  int			):



					"""simple docstring"""





					random.seed(SCREAMING_SNAKE_CASE__			)
					snake_case_					:		Tuple 					=					[random.randint(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			) for _ in range(SCREAMING_SNAKE_CASE__			)]
					return Vector(SCREAMING_SNAKE_CASE__			)







class    __lowercase     :







						"""simple docstring"""







						def __init__(self   ,		lowercase__   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		str 					=					matrix
											snake_case_					:		List[Any] 					=					w
											snake_case_					:		List[Any] 					=					h







						def __str__(self       ):
											snake_case_					:		Union[str, Any] 					=					""""""
											for i in range(self.__height       ):
																ans += "|"
																for j in range(self.__width       ):
																					if j < self.__width - 1:
																										ans += str(self.__matrix[i][j]       ) + ","
																					else:
																										ans += str(self.__matrix[i][j]       ) + "|\n"
											return ans







						def __add__(self   ,		lowercase__       ):
											if self.__width == other.width() and self.__height == other.height():
																snake_case_					:		List[str] 					=					[]
																for i in range(self.__height       ):
																					snake_case_					:		List[Any] 					=					[
																					    self.__matrix[i][j] + other.component(lowercase__   ,		lowercase__       )
																					    for j in range(self.__width       )
																					]
																					matrix.append(lowercase__       )
																return Matrix(lowercase__   ,		self.__width   ,		self.__height       )
											else:
																raise Exception("""matrix must have the same dimension!"""       )







						def __sub__(self   ,		lowercase__       ):
											if self.__width == other.width() and self.__height == other.height():
																snake_case_					:		List[str] 					=					[]
																for i in range(self.__height       ):
																					snake_case_					:		Dict 					=					[
																					    self.__matrix[i][j] - other.component(lowercase__   ,		lowercase__       )
																					    for j in range(self.__width       )
																					]
																					matrix.append(lowercase__       )
																return Matrix(lowercase__   ,		self.__width   ,		self.__height       )
											else:
																raise Exception("""matrices must have the same dimension!"""       )







						@overload
						def __mul__(self   ,		lowercase__       ):
											...







						@overload
						def __mul__(self   ,		lowercase__       ):
											...







						def __mul__(self   ,		lowercase__       ):
											if isinstance(lowercase__   ,		lowercase__       ):  # matrix-vector
																if len(lowercase__       ) == self.__width:
																					snake_case_					:		Optional[int] 					=					zero_vector(self.__height       )
																					for i in range(self.__height       ):
																										snake_case_					:		List[str] 					=					[
																										    self.__matrix[i][j] * other.component(lowercase__       )
																										    for j in range(self.__width       )
																										]
																										ans.change_component(lowercase__   ,		sum(lowercase__       )       )
																					return ans
																else:
																					raise Exception(
																					    """vector must have the same size as the """
																					    """number of columns of the matrix!"""       )
											elif isinstance(lowercase__   ,		(int, float)       ):  # matrix-scalar
																snake_case_					:		Optional[int] 					=					[
																    [self.__matrix[i][j] * other for j in range(self.__width       )]
																    for i in range(self.__height       )
																]
																return Matrix(lowercase__   ,		self.__width   ,		self.__height       )
											return None







						def 						__UpperCamelCase							(self       ):
											return self.__height







						def 						__UpperCamelCase							(self       ):
											return self.__width







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											if 0 <= x < self.__height and 0 <= y < self.__width:
																return self.__matrix[x][y]
											else:
																raise Exception("""change_component: indices out of bounds"""       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__   ,		lowercase__       ):
											if 0 <= x < self.__height and 0 <= y < self.__width:
																snake_case_					:		List[Any] 					=					value
											else:
																raise Exception("""change_component: indices out of bounds"""       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											if self.__height != self.__width:
																raise Exception("""Matrix is not square"""       )
											snake_case_					:		int 					=					self.__matrix[:x] + self.__matrix[x + 1 :]
											for i in range(len(lowercase__       )       ):
																snake_case_					:		Tuple 					=					minor[i][:y] + minor[i][y + 1 :]
											return Matrix(lowercase__   ,		self.__width - 1   ,		self.__height - 1       ).determinant()







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											if self.__height != self.__width:
																raise Exception("""Matrix is not square"""       )
											if 0 <= x < self.__height and 0 <= y < self.__width:
																return (-1) ** (x + y) * self.minor(lowercase__   ,		lowercase__       )
											else:
																raise Exception("""Indices out of bounds"""       )







						def 						__UpperCamelCase							(self       ):
											if self.__height != self.__width:
																raise Exception("""Matrix is not square"""       )
											if self.__height < 1:
																raise Exception("""Matrix has no element"""       )
											elif self.__height == 1:
																return self.__matrix[0][0]
											elif self.__height == 2:
																return (
																    self.__matrix[0][0] * self.__matrix[1][1]
																    - self.__matrix[0][1] * self.__matrix[1][0]
																)
											else:
																snake_case_					:		str 					=					[
																    self.__matrix[0][y] * self.cofactor(0   ,		lowercase__       ) for y in range(self.__width       )
																]
																return sum(lowercase__       )







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int			):



					"""simple docstring"""





					snake_case_					:		list[list[float]] 					=					[[0] * n for _ in range(SCREAMING_SNAKE_CASE__			)]
					return Matrix(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int				,    SCREAMING_SNAKE_CASE__ :  int				,    SCREAMING_SNAKE_CASE__ :  int				,    SCREAMING_SNAKE_CASE__ :  int			):



					"""simple docstring"""





					random.seed(SCREAMING_SNAKE_CASE__			)
					snake_case_					:		list[list[float]] 					=					[
					    [random.randint(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			) for _ in range(SCREAMING_SNAKE_CASE__			)] for _ in range(SCREAMING_SNAKE_CASE__			)
					]
					return Matrix(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)









"""simple docstring"""

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

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_mbart import MBartTokenizer
else:
			a_			   =					None


a_			   =					logging.get_logger(__name__)


a_			   =					{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

a_			   =					{
    '''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'''
        ),
    },
    '''tokenizer_file''': {
        '''facebook/mbart-large-en-ro''': '''https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json''',
        '''facebook/mbart-large-cc25''': '''https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json''',
    },
}

a_			   =					{
    '''facebook/mbart-large-en-ro''': 1024,
    '''facebook/mbart-large-cc25''': 1024,
}

# fmt: off
a_			   =					['''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    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







						_A		:							Dict							       =		VOCAB_FILES_NAMES
						_A		:							Union[str, Any]							       =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_A		:							Optional[int]							       =		PRETRAINED_VOCAB_FILES_MAP
						_A		:							str							       =		["""input_ids""", """attention_mask"""]
						_A		:							Tuple							       =		MBartTokenizer

						_A		:							List[int]							       =		[]
						_A		:							List[int]							       =		[]







						def __init__(self   ,		lowercase__=None   ,		lowercase__=None   ,		lowercase__="<s>"   ,		lowercase__="</s>"   ,		lowercase__="</s>"   ,		lowercase__="<s>"   ,		lowercase__="<unk>"   ,		lowercase__="<pad>"   ,		lowercase__="<mask>"   ,		lowercase__=None   ,		lowercase__=None   ,		lowercase__=None   ,		**lowercase__   ,		):
											# Mask token behave like a normal word, i.e. include the space before it
											snake_case_					:		int 					=					AddedToken(lowercase__   ,		lstrip=lowercase__   ,		rstrip=lowercase__       ) if isinstance(lowercase__   ,		lowercase__       ) else mask_token

											super().__init__(
											    vocab_file=lowercase__   ,		tokenizer_file=lowercase__   ,		bos_token=lowercase__   ,		eos_token=lowercase__   ,		sep_token=lowercase__   ,		cls_token=lowercase__   ,		unk_token=lowercase__   ,		pad_token=lowercase__   ,		mask_token=lowercase__   ,		src_lang=lowercase__   ,		tgt_lang=lowercase__   ,		additional_special_tokens=lowercase__   ,		**lowercase__   ,		)

											snake_case_					:		Dict 					=					vocab_file
											snake_case_					:		Optional[int] 					=					False if not self.vocab_file else True

											snake_case_					:		Optional[Any] 					=					FAIRSEQ_LANGUAGE_CODES.copy()

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

											self.add_special_tokens({"""additional_special_tokens""": _additional_special_tokens}       )
											snake_case_					:		Any 					=					{
											    lang_code: self.convert_tokens_to_ids(lowercase__       ) for lang_code in FAIRSEQ_LANGUAGE_CODES
											}

											snake_case_					:		Tuple 					=					src_lang if src_lang is not None else """en_XX"""
											snake_case_					:		Tuple 					=					self.convert_tokens_to_ids(self._src_lang       )
											snake_case_					:		Tuple 					=					tgt_lang
											self.set_src_lang_special_tokens(self._src_lang       )







						@property
						def 						__UpperCamelCase							(self       ):
											return self._src_lang







						@src_lang.setter
						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											snake_case_					:		Tuple 					=					new_src_lang
											self.set_src_lang_special_tokens(self._src_lang       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__ = None       ):
											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 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__ = None       ):
											snake_case_					:		List[Any] 					=					[self.sep_token_id]
											snake_case_					:		Optional[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 + sep + token_ids_a + sep       ) * [0]







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







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__ = "en_XX"   ,		lowercase__ = None   ,		lowercase__ = "ro_RO"   ,		**lowercase__   ,		):
											snake_case_					:		List[str] 					=					src_lang
											snake_case_					:		int 					=					tgt_lang
											return super().prepare_seqaseq_batch(lowercase__   ,		lowercase__   ,		**lowercase__       )







						def 						__UpperCamelCase							(self       ):
											return self.set_src_lang_special_tokens(self.src_lang       )







						def 						__UpperCamelCase							(self       ):
											return self.set_tgt_lang_special_tokens(self.tgt_lang       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											snake_case_					:		int 					=					self.convert_tokens_to_ids(lowercase__       )
											snake_case_					:		Tuple 					=					[]
											snake_case_					:		List[Any] 					=					[self.eos_token_id, self.cur_lang_code]

											snake_case_					:		List[Any] 					=					self.convert_ids_to_tokens(self.prefix_tokens       )
											snake_case_					:		Union[str, Any] 					=					self.convert_ids_to_tokens(self.suffix_tokens       )

											snake_case_					:		Optional[int] 					=					processors.TemplateProcessing(
											    single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str   ,		pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str   ,		special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str   ,		self.prefix_tokens + self.suffix_tokens       )       )   ,		)







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											snake_case_					:		Tuple 					=					self.convert_tokens_to_ids(lowercase__       )
											snake_case_					:		Optional[int] 					=					[]
											snake_case_					:		Optional[Any] 					=					[self.eos_token_id, self.cur_lang_code]

											snake_case_					:		Union[str, Any] 					=					self.convert_ids_to_tokens(self.prefix_tokens       )
											snake_case_					:		int 					=					self.convert_ids_to_tokens(self.suffix_tokens       )

											snake_case_					:		List[Any] 					=					processors.TemplateProcessing(
											    single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str   ,		pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str   ,		special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str   ,		self.prefix_tokens + self.suffix_tokens       )       )   ,		)







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__ = None       ):
											if not self.can_save_slow_tokenizer:
																raise ValueError(
																    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
																    """tokenizer."""       )

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

											if os.path.abspath(self.vocab_file       ) != os.path.abspath(lowercase__       ):
																copyfile(self.vocab_file   ,		lowercase__       )

											return (out_vocab_file,)




