

'''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


lowerCamelCase :      Tuple					 =     logging.get_logger(__name__)

lowerCamelCase :      List[str]					 =     "▁"

lowerCamelCase :      Union[str, Any]					 =     {"vocab_file": "sentencepiece.bpe.model"}

lowerCamelCase :      Tuple					 =     {
    "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"
        ),
    }
}

lowerCamelCase :      str					 =     {
    "facebook/mbart-large-50-one-to-many-mmt": 1_0_2_4,
}

# fmt: off
lowerCamelCase :      Dict					 =     ["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 							A__    (       A__  ):
  A__		 =				VOCAB_FILES_NAMES
  A__		 =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A__		 =				PRETRAINED_VOCAB_FILES_MAP
  A__		 =				['input_ids', 'attention_mask']

  A__		 =				[]
  A__		 =				[]





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





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =AddedToken(_a							,					lstrip=_a							,					rstrip=_a ) if isinstance(_a							,					_a ) else mask_token

       _SCREAMING_SNAKE_CASE							    ={} if sp_model_kwargs is None else sp_model_kwargs

       _SCREAMING_SNAKE_CASE							    =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__(
           src_lang=_a							,					tgt_lang=_a							,					eos_token=_a							,					unk_token=_a							,					sep_token=_a							,					cls_token=_a							,					pad_token=_a							,					mask_token=_a							,					sp_model_kwargs=self.sp_model_kwargs							,					**_a							,					)

       _SCREAMING_SNAKE_CASE							    =spm.SentencePieceProcessor(**self.sp_model_kwargs )
       self.sp_model.Load(str(_a ) )
       _SCREAMING_SNAKE_CASE							    =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
       _SCREAMING_SNAKE_CASE							    ={'<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
       _SCREAMING_SNAKE_CASE							    =1

       _SCREAMING_SNAKE_CASE							    =len(self.sp_model )
       _SCREAMING_SNAKE_CASE							    ={
           code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(_a )
       }
       _SCREAMING_SNAKE_CASE							    ={v: k for k, v in self.lang_code_to_id.items()}
       _SCREAMING_SNAKE_CASE							    =len(self.sp_model ) + len(self.lang_code_to_id ) + self.fairseq_offset

       self.fairseq_tokens_to_ids.update(self.lang_code_to_id )
       _SCREAMING_SNAKE_CASE							    ={v: k for k, v in self.fairseq_tokens_to_ids.items()}

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





  @property
  def 						A  (		self      :	Dict )	->    int:





       '''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 						A  (		self      :	List[Any] )	->    str:





       '''simple docstring'''






       return self._src_lang





  @src_lang.setter
  def 						A  (		self      :	Optional[Any]							,					_a      :	str )	->    None:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =new_src_lang
       self.set_src_lang_special_tokens(self._src_lang )





  def __getstate__(		self      :	List[Any] )	->    Dict:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =self.__dict__.copy()
       _SCREAMING_SNAKE_CASE							    =None
       return state





  def __setstate__(		self      :	Dict							,					_a      :	Dict )	->    None:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =d

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

       _SCREAMING_SNAKE_CASE							    =spm.SentencePieceProcessor(**self.sp_model_kwargs )
       self.sp_model.Load(self.vocab_file )





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





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    ={self.convert_ids_to_tokens(_a ): i for i in range(self.vocab_size )}
       vocab.update(self.added_tokens_encoder )
       return vocab





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





       '''simple docstring'''






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





  def 						A  (		self      :	str							,					_a      :	str )	->    int:





       '''simple docstring'''






       if token in self.fairseq_tokens_to_ids:
            return self.fairseq_tokens_to_ids[token]
       _SCREAMING_SNAKE_CASE							    =self.sp_model.PieceToId(_a )

       # 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 						A  (		self      :	Optional[int]							,					_a      :	int )	->    str:





       '''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 						A  (		self      :	List[Any]							,					_a      :	str )	->    int:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =[]
       _SCREAMING_SNAKE_CASE							    =''
       _SCREAMING_SNAKE_CASE							    =False
       for token in tokens:
            # make sure that special tokens are not decoded using sentencepiece model
            if token in self.all_special_tokens:
                 if not prev_is_special:
                      out_string += " "
                 out_string += self.sp_model.decode(_a ) + token
                 _SCREAMING_SNAKE_CASE							    =True
                 _SCREAMING_SNAKE_CASE							    =[]
            else:
                 current_sub_tokens.append(_a )
                 _SCREAMING_SNAKE_CASE							    =False
       out_string += self.sp_model.decode(_a )
       return out_string.strip()





  def 						A  (		self      :	Optional[int]							,					_a      :	str							,					_a      :	Optional[str] = None )	->    Tuple[str]:





       '''simple docstring'''






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

       if os.path.abspath(self.vocab_file ) != os.path.abspath(_a ) and os.path.isfile(self.vocab_file ):
            copyfile(self.vocab_file							,					_a )
       elif not os.path.isfile(self.vocab_file ):
            with open(_a							,					'wb' ) as fi:
                 _SCREAMING_SNAKE_CASE							    =self.sp_model.serialized_model_proto()
                 fi.write(_a )

       return (out_vocab_file,)





  def 						A  (		self      :	str							,					_a      :	List[int]							,					_a      :	Optional[List[int]] = None							,					_a      :	bool = False )	->    List[int]:





       '''simple docstring'''






       if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=_a							,					token_ids_a=_a							,					already_has_special_tokens=_a )

       _SCREAMING_SNAKE_CASE							    =[1] * len(self.prefix_tokens )
       _SCREAMING_SNAKE_CASE							    =[1] * len(self.suffix_tokens )
       if token_ids_a is None:
            return prefix_ones + ([0] * len(_a )) + suffix_ones
       return prefix_ones + ([0] * len(_a )) + ([0] * len(_a )) + suffix_ones





  def 						A  (		self      :	List[str]							,					_a      :	List[int]							,					_a      :	Optional[List[int]] = None )	->    List[int]:





       '''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 						A  (		self      :	Union[str, Any]							,					_a      :	Union[str, Any]							,					_a      :	str							,					_a      :	Optional[str]							,					_a      :	Optional[str]							,					**_a      :	Optional[Any] )	->    int:





       '''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' )
       _SCREAMING_SNAKE_CASE							    =src_lang
       _SCREAMING_SNAKE_CASE							    =self(_a							,					add_special_tokens=_a							,					return_tensors=_a							,					**_a )
       _SCREAMING_SNAKE_CASE							    =self.convert_tokens_to_ids(_a )
       _SCREAMING_SNAKE_CASE							    =tgt_lang_id
       return inputs





  def 						A  (		self      :	Optional[Any]							,					_a      :	List[str]							,					_a      :	str = "en_XX"							,					_a      :	Optional[List[str]] = None							,					_a      :	str = "ro_RO"							,					**_a      :	Optional[Any]							,					)	->    BatchEncoding:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =src_lang
       _SCREAMING_SNAKE_CASE							    =tgt_lang
       return super().prepare_seqaseq_batch(_a							,					_a							,					**_a )





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





       '''simple docstring'''






       return self.set_src_lang_special_tokens(self.src_lang )





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





       '''simple docstring'''






       return self.set_tgt_lang_special_tokens(self.tgt_lang )





  def 						A  (		self      :	Tuple							,					_a      :	str )	->    None:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =self.lang_code_to_id[src_lang]
       _SCREAMING_SNAKE_CASE							    =[self.cur_lang_code_id]
       _SCREAMING_SNAKE_CASE							    =[self.eos_token_id]





  def 						A  (		self      :	Optional[int]							,					_a      :	str )	->    None:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =self.lang_code_to_id[tgt_lang]
       _SCREAMING_SNAKE_CASE							    =[self.cur_lang_code_id]
       _SCREAMING_SNAKE_CASE							    =[self.eos_token_id]



'''simple docstring'''
from __future__ import annotations

from random import random
from typing import Generic, TypeVar

lowerCamelCase :      Union[str, Any]					 =     TypeVar("KT")
lowerCamelCase :      Dict					 =     TypeVar("VT")







class 							A__    (       Generic[KT, VT]  ):





  def __init__(		self      :	str							,					_a      :	KT | str = "root"							,					_a      :	VT | None = None )	->    Dict:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =key
       _SCREAMING_SNAKE_CASE							    =value
       _SCREAMING_SNAKE_CASE							    =[]





  def __repr__(		self      :	Union[str, Any] )	->    str:





       '''simple docstring'''






       return f"Node({self.key}: {self.value})"





  @property
  def 						A  (		self      :	int )	->    int:





       '''simple docstring'''






       return len(self.forward )







class 							A__    (       Generic[KT, VT]  ):





  def __init__(		self      :	Optional[Any]							,					_a      :	float = 0.5							,					_a      :	int = 16 )	->    str:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =Node[KT, VT]()
       _SCREAMING_SNAKE_CASE							    =0
       _SCREAMING_SNAKE_CASE							    =p
       _SCREAMING_SNAKE_CASE							    =max_level





  def __str__(		self      :	Tuple )	->    str:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =list(self )

       if len(_a ) == 0:
            return f"SkipList(level={self.level})"

       _SCREAMING_SNAKE_CASE							    =max((len(str(_a ) ) for item in items)							,					default=4 )
       _SCREAMING_SNAKE_CASE							    =max(_a							,					4 ) + 4

       _SCREAMING_SNAKE_CASE							    =self.head
       _SCREAMING_SNAKE_CASE							    =[]

       _SCREAMING_SNAKE_CASE							    =node.forward.copy()
       lines.append(f"[{node.key}]".ljust(_a							,					'-' ) + '* ' * len(_a ) )
       lines.append(' ' * label_size + '| ' * len(_a ) )

       while len(node.forward ) != 0:
            _SCREAMING_SNAKE_CASE							    =node.forward[0]

            lines.append(
                f"[{node.key}]".ljust(_a							,					'-' )
                + ' '.join(str(n.key ) if n.key == node.key else '|' for n in forwards ) )
            lines.append(' ' * label_size + '| ' * len(_a ) )
            _SCREAMING_SNAKE_CASE							    =node.forward

       lines.append('None'.ljust(_a ) + '* ' * len(_a ) )
       return f"SkipList(level={self.level})\n" + "\n".join(_a )





  def __iter__(		self      :	Dict )	->    Optional[Any]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =self.head

       while len(node.forward ) != 0:
            yield node.forward[0].key
            _SCREAMING_SNAKE_CASE							    =node.forward[0]





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





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =1
       while random() < self.p and level < self.max_level:
            level += 1

       return level





  def 						A  (		self      :	Any							,					_a      :	Any )	->    tuple[Node[KT, VT] | None, list[Node[KT, VT]]]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =[]

       _SCREAMING_SNAKE_CASE							    =self.head

       for i in reversed(range(self.level ) ):
            # i < node.level - When node level is lesser than `i` decrement `i`.
            # node.forward[i].key < key - Jumping to node with key value higher
            #                             or equal to searched key would result
            #                             in skipping searched key.
            while i < node.level and node.forward[i].key < key:
                 _SCREAMING_SNAKE_CASE							    =node.forward[i]
            # Each leftmost node (relative to searched node) will potentially have to
            # be updated.
            update_vector.append(_a )

       update_vector.reverse()  # Note that we were inserting values in reverse order.

       # len(node.forward) != 0 - If current node doesn't contain any further
       #                          references then searched key is not present.
       # node.forward[0].key == key - Next node key should be equal to search key
       #                              if key is present.
       if len(node.forward ) != 0 and node.forward[0].key == key:
            return node.forward[0], update_vector
       else:
            return None, update_vector





  def 						A  (		self      :	Union[str, Any]							,					_a      :	KT )	->    int:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE							    =self._locate_node(_a )

       if node is not None:
            for i, update_node in enumerate(_a ):
                 # Remove or replace all references to removed node.
                 if update_node.level > i and update_node.forward[i].key == key:
                      if node.level > i:
                           _SCREAMING_SNAKE_CASE							    =node.forward[i]
                      else:
                           _SCREAMING_SNAKE_CASE							    =update_node.forward[:i]





  def 						A  (		self      :	Optional[Any]							,					_a      :	KT							,					_a      :	VT )	->    str:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE							    =self._locate_node(_a )
       if node is not None:
            _SCREAMING_SNAKE_CASE							    =value
       else:
            _SCREAMING_SNAKE_CASE							    =self.random_level()

            if level > self.level:
                 # After level increase we have to add additional nodes to head.
                 for _ in range(self.level - 1							,					_a ):
                      update_vector.append(self.head )
                 _SCREAMING_SNAKE_CASE							    =level

            _SCREAMING_SNAKE_CASE							    =Node(_a							,					_a )

            for i, update_node in enumerate(update_vector[:level] ):
                 # Change references to pass through new node.
                 if update_node.level > i:
                      new_node.forward.append(update_node.forward[i] )

                 if update_node.level < i + 1:
                      update_node.forward.append(_a )
                 else:
                      _SCREAMING_SNAKE_CASE							    =new_node





  def 						A  (		self      :	List[str]							,					_a      :	VT )	->    VT | None:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE							    =self._locate_node(_a )

       if node is not None:
            return node.value

       return None


def        _lowerCAmelCase					(						)      ->			str:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =SkipList()
     skip_list.insert('Key1'							, 3				)
     skip_list.insert('Key2'							, 12				)
     skip_list.insert('Key3'							, 41				)
     skip_list.insert('Key4'							, -19				)

     _SCREAMING_SNAKE_CASE							    =skip_list.head
     _SCREAMING_SNAKE_CASE							    ={}
     while node.level != 0:
          _SCREAMING_SNAKE_CASE							    =node.forward[0]
          _SCREAMING_SNAKE_CASE							    =node.value

     assert len(_UpperCamelCase				) == 4
     assert all_values["Key1"] == 3
     assert all_values["Key2"] == 12
     assert all_values["Key3"] == 41
     assert all_values["Key4"] == -19


def        _lowerCAmelCase					(						)      ->			Optional[int]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =SkipList()
     skip_list.insert('Key1'							, 10				)
     skip_list.insert('Key1'							, 12				)

     skip_list.insert('Key5'							, 7				)
     skip_list.insert('Key7'							, 10				)
     skip_list.insert('Key10'							, 5				)

     skip_list.insert('Key7'							, 7				)
     skip_list.insert('Key5'							, 5				)
     skip_list.insert('Key10'							, 10				)

     _SCREAMING_SNAKE_CASE							    =skip_list.head
     _SCREAMING_SNAKE_CASE							    ={}
     while node.level != 0:
          _SCREAMING_SNAKE_CASE							    =node.forward[0]
          _SCREAMING_SNAKE_CASE							    =node.value

     if len(_UpperCamelCase				) != 4:
          print()
     assert len(_UpperCamelCase				) == 4
     assert all_values["Key1"] == 12
     assert all_values["Key7"] == 7
     assert all_values["Key5"] == 5
     assert all_values["Key10"] == 10


def        _lowerCAmelCase					(						)      ->			Tuple:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =SkipList()
     assert skip_list.find('Some key'				) is None


def        _lowerCAmelCase					(						)      ->			str:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =SkipList()

     skip_list.insert('Key2'							, 20				)
     assert skip_list.find('Key2'				) == 20

     skip_list.insert('Some Key'							, 10				)
     skip_list.insert('Key2'							, 8				)
     skip_list.insert('V'							, 13				)

     assert skip_list.find('Y'				) is None
     assert skip_list.find('Key2'				) == 8
     assert skip_list.find('Some Key'				) == 10
     assert skip_list.find('V'				) == 13


def        _lowerCAmelCase					(						)      ->			List[Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =SkipList()
     skip_list.delete('Some key'				)

     assert len(skip_list.head.forward				) == 0


def        _lowerCAmelCase					(						)      ->			Optional[Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =SkipList()

     skip_list.insert('Key1'							, 12				)
     skip_list.insert('V'							, 13				)
     skip_list.insert('X'							, 14				)
     skip_list.insert('Key2'							, 15				)

     skip_list.delete('V'				)
     skip_list.delete('Key2'				)

     assert skip_list.find('V'				) is None
     assert skip_list.find('Key2'				) is None


def        _lowerCAmelCase					(						)      ->			List[str]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =SkipList()

     skip_list.insert('Key1'							, 12				)
     skip_list.insert('V'							, 13				)
     skip_list.insert('X'							, 14				)
     skip_list.insert('Key2'							, 15				)

     skip_list.delete('V'				)
     assert skip_list.find('V'				) is None
     assert skip_list.find('X'				) == 14
     assert skip_list.find('Key1'				) == 12
     assert skip_list.find('Key2'				) == 15

     skip_list.delete('X'				)
     assert skip_list.find('V'				) is None
     assert skip_list.find('X'				) is None
     assert skip_list.find('Key1'				) == 12
     assert skip_list.find('Key2'				) == 15

     skip_list.delete('Key1'				)
     assert skip_list.find('V'				) is None
     assert skip_list.find('X'				) is None
     assert skip_list.find('Key1'				) is None
     assert skip_list.find('Key2'				) == 15

     skip_list.delete('Key2'				)
     assert skip_list.find('V'				) is None
     assert skip_list.find('X'				) is None
     assert skip_list.find('Key1'				) is None
     assert skip_list.find('Key2'				) is None


def        _lowerCAmelCase					(						)      ->			Dict:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =SkipList()

     skip_list.insert('Key1'							, 12				)
     skip_list.insert('V'							, 13				)
     skip_list.insert('X'							, 1_42				)
     skip_list.insert('Key2'							, 15				)

     skip_list.delete('X'				)

     def traverse_keys(_UpperCamelCase						:     Dict				):
          yield node.key
          for forward_node in node.forward:
               yield from traverse_keys(_UpperCamelCase				)

     assert len(set(traverse_keys(skip_list.head				)				)				) == 4


def        _lowerCAmelCase					(						)      ->			Union[str, Any]:
     """simple docstring"""




     def is_sorted(_UpperCamelCase						:     str				):
          return all(next_item >= item for item, next_item in zip(_UpperCamelCase							, lst[1:]				)				)

     _SCREAMING_SNAKE_CASE							    =SkipList()
     for i in range(10				):
          skip_list.insert(_UpperCamelCase							, _UpperCamelCase				)
     assert is_sorted(list(_UpperCamelCase				)				)
     skip_list.delete(5				)
     skip_list.delete(8				)
     skip_list.delete(2				)
     assert is_sorted(list(_UpperCamelCase				)				)
     skip_list.insert(-12							, -12				)
     skip_list.insert(77							, 77				)
     assert is_sorted(list(_UpperCamelCase				)				)


def        _lowerCAmelCase					(						)      ->			List[str]:
     """simple docstring"""




     for _ in range(1_00				):
          # Repeat test 100 times due to the probabilistic nature of skip list
          # random values == random bugs
          test_insert()
          test_insert_overrides_existing_value()

          test_searching_empty_list_returns_none()
          test_search()

          test_deleting_item_from_empty_list_do_nothing()
          test_deleted_items_are_not_founded_by_find_method()
          test_delete_removes_only_given_key()
          test_delete_doesnt_leave_dead_nodes()

          test_iter_always_yields_sorted_values()


def        _lowerCAmelCase					(						)      ->			Dict:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =SkipList()
     skip_list.insert(2							, '2'				)
     skip_list.insert(4							, '4'				)
     skip_list.insert(6							, '4'				)
     skip_list.insert(4							, '5'				)
     skip_list.insert(8							, '4'				)
     skip_list.insert(9							, '4'				)

     skip_list.delete(4				)

     print(_UpperCamelCase				)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()
