



class 		_lowercase		:

   def __init__(   self      :							Any				, __lowerCAmelCase      :							List[Any]				)							->					Dict:


    """simple docstring"""






    a							=		val
    # Number of nodes in left subtree
    a							=		0
    a							=		None
    a							=		None
    a							=		None




   def 		A				(   self      :							Any				, __lowerCAmelCase      :							List[Any]				)							->					str:


    """simple docstring"""






    assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

    if self.val < other.val:
     a							=		self.right
     a							=		None
     if self.right:
      a							=		other
     a							=		other
     a							=		self.left_tree_size * 2 + 1
     return self
    else:
     a							=		other.right
     a							=		None
     if other.right:
      a							=		self
     a							=		self
     a							=		other.left_tree_size * 2 + 1
     return other



class 		_lowercase		:

   def __init__(   self      :							str				, __lowerCAmelCase      :							str=None				, __lowerCAmelCase      :							Union[str, Any]=None				, __lowerCAmelCase      :							List[Any]=0				)							->					List[Any]:


    """simple docstring"""






    a							=		heap_size
    a							=		bottom_root
    a							=		min_node

   def 		A				(   self      :							int				, __lowerCAmelCase      :							Any				)							->					str:


    """simple docstring"""






    if other.size == 0:
     return None
    if self.size == 0:
     a							=		other.size
     a							=		other.bottom_root
     a							=		other.min_node
     return None
    # Update size
    a							=		self.size + other.size

    # Update min.node
    if self.min_node.val > other.min_node.val:
     a							=		other.min_node
    # Merge

    # Order roots by left_subtree_size
    a							=		[]
    a		,	a							=		self.bottom_root, other.bottom_root
    while i or j:
     if i and ((not j) or i.left_tree_size < j.left_tree_size):
      combined_roots_list.append((i, True)				)
      a							=		i.parent
     else:
      combined_roots_list.append((j, False)				)
      a							=		j.parent
        # Insert links between them
    for i in range(len(__lowerCAmelCase				) - 1				):
     if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
      a							=		combined_roots_list[i + 1][0]
      a							=		combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
    a							=		combined_roots_list[0][0]
    while i.parent:
     if (
         (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
     ) or (
         i.left_tree_size == i.parent.left_tree_size
         and i.left_tree_size != i.parent.parent.left_tree_size
     ):
      # Neighbouring Nodes
      a							=		i.left
      a							=		i.parent.parent

      # Merging trees
      a							=		i.merge_trees(i.parent				)

      # Updating links
      a							=		previous_node
      a							=		next_node
      if previous_node:
       a							=		i
      if next_node:
       a							=		i
     else:
      a							=		i.parent
        # Updating self.bottom_root
    while i.left:
     a							=		i.left
    a							=		i

    # Update other
    a							=		self.size
    a							=		self.bottom_root
    a							=		self.min_node

    # Return the merged heap
    return self

   def 		A				(   self      :							Union[str, Any]				, __lowerCAmelCase      :							List[str]				)							->					Optional[int]:


    """simple docstring"""






    if self.size == 0:
     a							=		Node(__lowerCAmelCase				)
     a							=		1
     a							=		self.bottom_root
    else:
     # Create new node
     a							=		Node(__lowerCAmelCase				)

     # Update size
     self.size += 1

     # update min_node
     if val < self.min_node.val:
      a							=		new_node
     # Put new_node as a bottom_root in heap
     a							=		new_node
     a							=		self.bottom_root
     a							=		new_node

     # Consecutively merge roots with same left_tree_size
     while (
         self.bottom_root.parent
         and self.bottom_root.left_tree_size
         == self.bottom_root.parent.left_tree_size
     ):
      # Next node
      a							=		self.bottom_root.parent.parent

      # Merge
      a							=		self.bottom_root.merge_trees(self.bottom_root.parent				)

      # Update Links
      a							=		next_node
      a							=		None
      if next_node:
       a							=		self.bottom_root

   def 		A				(   self      :							List[str]				)							->					str:


    """simple docstring"""






    return self.min_node.val

   def 		A				(   self      :							List[Any]				)							->					List[Any]:


    """simple docstring"""






    return self.size == 0

   def 		A				(   self      :							List[Any]				)							->					Any:


    """simple docstring"""






    a							=		self.min_node.val

    # Last element in heap corner case
    if self.size == 1:
     # Update size
     a							=		0

     # Update bottom root
     a							=		None

     # Update min_node
     a							=		None

     return min_value
    # No right subtree corner case
    # The structure of the tree implies that this should be the bottom root
    # and there is at least one other root
    if self.min_node.right is None:
     # Update size
     self.size -= 1

     # Update bottom root
     a							=		self.bottom_root.parent
     a							=		None

     # Update min_node
     a							=		self.bottom_root
     a							=		self.bottom_root.parent
     while i:
      if i.val < self.min_node.val:
       a							=		i
      a							=		i.parent
     return min_value
    # General case
    # Find the BinomialHeap of the right subtree of min_node
    a							=		self.min_node.right
    a							=		None
    a							=		bottom_of_new
    a							=		1

    # Size, min_node and bottom_root
    while bottom_of_new.left:
     a							=		size_of_new * 2 + 1
     a							=		bottom_of_new.left
     if bottom_of_new.val < min_of_new.val:
      a							=		bottom_of_new
        # Corner case of single root on top left path
    if (not self.min_node.left) and (not self.min_node.parent):
     a							=		size_of_new
     a							=		bottom_of_new
     a							=		min_of_new
     # print("Single root, multiple nodes case")
     return min_value
    # Remaining cases
    # Construct heap of right subtree
    a							=		BinomialHeap(
        bottom_root=__lowerCAmelCase				, min_node=__lowerCAmelCase				, heap_size=__lowerCAmelCase				)

    # Update size
    a							=		self.size - 1 - size_of_new

    # Neighbour nodes
    a							=		self.min_node.left
    a							=		self.min_node.parent

    # Initialize new bottom_root and min_node
    a							=		previous_node or next_node
    a							=		next_node

    # Update links of previous_node and search below for new min_node and
    # bottom_root
    if previous_node:
     a							=		next_node

     # Update bottom_root and search for min_node below
     a							=		previous_node
     a							=		previous_node
     while self.bottom_root.left:
      a							=		self.bottom_root.left
      if self.bottom_root.val < self.min_node.val:
       a							=		self.bottom_root
    if next_node:
     a							=		previous_node

     # Search for new min_node above min_node
     a							=		next_node
     while i:
      if i.val < self.min_node.val:
       a							=		i
      a							=		i.parent
        # Merge heaps
    self.merge_heaps(__lowerCAmelCase				)

    return min_value

   def 		A				(   self      :							Optional[int]				)							->					Optional[Any]:


    """simple docstring"""






    a							=		self.bottom_root
    while top_root.parent:
     a							=		top_root.parent
    # preorder
    a							=		[]
    self.__traversal(__lowerCAmelCase				, __lowerCAmelCase				)
    return heap_pre_order

   def 		A				(   self      :							List[Any]				, __lowerCAmelCase      :							Any				, __lowerCAmelCase      :							Any				, __lowerCAmelCase      :							List[str]=0				)							->					Tuple:


    """simple docstring"""






    if curr_node:
     preorder.append((curr_node.val, level)				)
     self.__traversal(curr_node.left				, __lowerCAmelCase				, level + 1				)
     self.__traversal(curr_node.right				, __lowerCAmelCase				, level + 1				)
    else:
     preorder.append(("#", level)				)




   def __str__(   self      :							Optional[int]				)							->					int:


    """simple docstring"""






    if self.is_empty():
     return ""
    a							=		self.pre_order()

    return "\n".join(("-" * level + str(__lowerCAmelCase				)) for value, level in preorder_heap				)


# Unit Tests
if __name__ == "__main__":
     import doctest

     doctest.testmod()








"""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_mbartaa import MBartaaTokenizer
else:
		_snake_case	:						Dict					=					None


_snake_case	:						int					=					logging.get_logger(__name__)

_snake_case	:						Optional[Any]					=					{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

_snake_case	:						str					=					{
    'vocab_file': {
        'facebook/mbart-large-50-one-to-many-mmt': (
            'https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'facebook/mbart-large-50-one-to-many-mmt': (
            'https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json'
        ),
    },
}

_snake_case	:						Union[str, Any]					=					{
    'facebook/mbart-large-50-one-to-many-mmt': 1024,
}

# fmt: off
_snake_case	:						int					=					['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', 'af_ZA', 'az_AZ', 'bn_IN', 'fa_IR', 'he_IL', 'hr_HR', 'id_ID', 'ka_GE', 'km_KH', 'mk_MK', 'ml_IN', 'mn_MN', 'mr_IN', 'pl_PL', 'ps_AF', 'pt_XX', 'sv_SE', 'sw_KE', 'ta_IN', 'te_IN', 'th_TH', 'tl_XX', 'uk_UA', 'ur_PK', 'xh_ZA', 'gl_ES', 'sl_SI']






class    _UpperCAmelCase  (      lowercase_					):
					UpperCamelCase						=				VOCAB_FILES_NAMES
					UpperCamelCase						=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCamelCase						=				PRETRAINED_VOCAB_FILES_MAP
					UpperCamelCase						=				['''input_ids''', '''attention_mask''']
					UpperCamelCase						=				MBartaaTokenizer

					UpperCamelCase						=				[]
					UpperCamelCase						=				[]


					def __init__(   self     :Any	,			__UpperCamelCase     :str=None	,			__UpperCamelCase     :Any=None	,			__UpperCamelCase     :int=None	,			__UpperCamelCase     :Union[str, Any]=None	,			__UpperCamelCase     :Optional[Any]="</s>"	,			__UpperCamelCase     :Tuple="</s>"	,			__UpperCamelCase     :Any="<s>"	,			__UpperCamelCase     :Optional[int]="<unk>"	,			__UpperCamelCase     :str="<pad>"	,			__UpperCamelCase     :int="<mask>"	,			**__UpperCamelCase     :List[str]	,			):
												# Mask token behave like a normal word, i.e. include the space before it
												A						=    AddedToken(__UpperCamelCase	,			lstrip=__UpperCamelCase	,			rstrip=__UpperCamelCase						) if isinstance(__UpperCamelCase	,			__UpperCamelCase						) else mask_token

												A						=    kwargs.get("additional_special_tokens"	,			[]						)
												kwargs["additional_special_tokens"] += [
												    code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
												]

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

												A						=    vocab_file
												A						=    False if not self.vocab_file else True

												A						=    {
												    lang_code: self.convert_tokens_to_ids(__UpperCamelCase						) for lang_code in FAIRSEQ_LANGUAGE_CODES
												}

												A						=    src_lang if src_lang is not None else "en_XX"
												A						=    tgt_lang
												A						=    self.lang_code_to_id[self._src_lang]
												self.set_src_lang_special_tokens(self._src_lang						)


					@property
					def       lowerCamelCase			(   self     :int						):
												return self._src_lang


					@src_lang.setter
					def       lowerCamelCase			(   self     :Optional[int]	,			__UpperCamelCase     :str						):
												A						=    new_src_lang
												self.set_src_lang_special_tokens(self._src_lang						)


					def       lowerCamelCase			(   self     :Any	,			__UpperCamelCase     :List[int]	,			__UpperCamelCase     :Optional[List[int]] = 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       lowerCamelCase			(   self     :Optional[Any]	,			__UpperCamelCase     :List[str]	,			__UpperCamelCase     :str = "en_XX"	,			__UpperCamelCase     :Optional[List[str]] = None	,			__UpperCamelCase     :str = "ro_RO"	,			**__UpperCamelCase     :Tuple	,			):
												A						=    src_lang
												A						=    tgt_lang
												return super().prepare_seqaseq_batch(__UpperCamelCase	,			__UpperCamelCase	,			**__UpperCamelCase						)


					def       lowerCamelCase			(   self     :str						):
												return self.set_src_lang_special_tokens(self.src_lang						)


					def       lowerCamelCase			(   self     :Optional[Any]						):
												return self.set_tgt_lang_special_tokens(self.tgt_lang						)


					def       lowerCamelCase			(   self     :Any	,			__UpperCamelCase     :str						):
												A						=    self.convert_tokens_to_ids(__UpperCamelCase						)
												A						=    [self.cur_lang_code_id]
												A						=    [self.eos_token_id]

												A						=    self.convert_ids_to_tokens(self.prefix_tokens						)
												A						=    self.convert_ids_to_tokens(self.suffix_tokens						)

												A						=    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       lowerCamelCase			(   self     :Optional[Any]	,			__UpperCamelCase     :str						):
												A						=    self.convert_tokens_to_ids(__UpperCamelCase						)
												A						=    [self.cur_lang_code_id]
												A						=    [self.eos_token_id]

												A						=    self.convert_ids_to_tokens(self.prefix_tokens						)
												A						=    self.convert_ids_to_tokens(self.suffix_tokens						)

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


					def       lowerCamelCase			(   self     :Tuple	,			__UpperCamelCase     :str	,			__UpperCamelCase     :Optional[str] = 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(__UpperCamelCase						):
																			logger.error(f"Vocabulary path ({save_directory}) should be a directory"						)
																			return
												A						=    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						):
																			copyfile(self.vocab_file	,			__UpperCamelCase						)

												return (out_vocab_file,)


