




"""simple docstring"""

import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

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


__lowerCamelCase								=						logging.get_logger(__name__)

__lowerCamelCase								=						{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

__lowerCamelCase								=						{
    "vocab_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/vocab.json",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/vocab.json",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/vocab.json",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/merges.txt",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/merges.txt",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/merges.txt",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"
        ),
    },
}

__lowerCamelCase								=						{
    "roberta-base": 5_12,
    "roberta-large": 5_12,
    "roberta-large-mnli": 5_12,
    "distilroberta-base": 5_12,
    "roberta-base-openai-detector": 5_12,
    "roberta-large-openai-detector": 5_12,
}



@lru_cache()
def 				a (						):



				'''simple docstring'''





				UpperCAmelCase_					:Union[str, Any]      			=      (
				    list(range(ord('''!'''  ),    ord('''~'''  ) + 1  )  ) + list(range(ord('''¡'''  ),    ord('''¬'''  ) + 1  )  ) + list(range(ord('''®'''  ),    ord('''ÿ'''  ) + 1  )  )
				)
				UpperCAmelCase_					:Union[str, Any]      			=      bs[:]
				UpperCAmelCase_					:Union[str, Any]      			=      0
				for b in range(2**8  ):
								if b not in bs:
												bs.append(__snake_case  )
												cs.append(2**8 + n  )
												n += 1
				UpperCAmelCase_					:str      			=      [chr(__snake_case  ) for n in cs]
				return dict(zip(__snake_case,    __snake_case  )  )



def 				a (						__snake_case     :				Any  ):



				'''simple docstring'''





				UpperCAmelCase_					:List[str]      			=      set()
				UpperCAmelCase_					:Dict      			=      word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)  )
								UpperCAmelCase_					:int      			=      char
				return pairs





class  _snake_case				(							A__       ):

				'''simple docstring'''




				UpperCamelCase__		     =VOCAB_FILES_NAMES
				UpperCamelCase__		     =PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase__		     =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase__		     =["""input_ids""", """attention_mask"""]





				def __init__(							self      :  str					,							snake_case      :  Dict					,							snake_case      :  int					,							snake_case      :  Tuple="replace"					,							snake_case      :  List[Any]="<s>"					,							snake_case      :  List[Any]="</s>"					,							snake_case      :  List[str]="</s>"					,							snake_case      :  Any="<s>"					,							snake_case      :  List[str]="<unk>"					,							snake_case      :  List[Any]="<pad>"					,							snake_case      :  List[Any]="<mask>"					,							snake_case      :  Optional[int]=False					,							**snake_case      :  Optional[Any]					,							):
								UpperCAmelCase_					:Optional[Any]      			=      AddedToken(snake_case					,							lstrip=snake_case					,							rstrip=snake_case     ) if isinstance(snake_case					,							snake_case     ) else bos_token
								UpperCAmelCase_					:List[Any]      			=      AddedToken(snake_case					,							lstrip=snake_case					,							rstrip=snake_case     ) if isinstance(snake_case					,							snake_case     ) else eos_token
								UpperCAmelCase_					:List[str]      			=      AddedToken(snake_case					,							lstrip=snake_case					,							rstrip=snake_case     ) if isinstance(snake_case					,							snake_case     ) else sep_token
								UpperCAmelCase_					:Optional[int]      			=      AddedToken(snake_case					,							lstrip=snake_case					,							rstrip=snake_case     ) if isinstance(snake_case					,							snake_case     ) else cls_token
								UpperCAmelCase_					:Optional[int]      			=      AddedToken(snake_case					,							lstrip=snake_case					,							rstrip=snake_case     ) if isinstance(snake_case					,							snake_case     ) else unk_token
								UpperCAmelCase_					:Dict      			=      AddedToken(snake_case					,							lstrip=snake_case					,							rstrip=snake_case     ) if isinstance(snake_case					,							snake_case     ) else pad_token

								# Mask token behave like a normal word, i.e. include the space before it
								UpperCAmelCase_					:str      			=      AddedToken(snake_case					,							lstrip=snake_case					,							rstrip=snake_case     ) if isinstance(snake_case					,							snake_case     ) else mask_token

								super().__init__(
								    errors=snake_case					,							bos_token=snake_case					,							eos_token=snake_case					,							unk_token=snake_case					,							sep_token=snake_case					,							cls_token=snake_case					,							pad_token=snake_case					,							mask_token=snake_case					,							add_prefix_space=snake_case					,							**snake_case					,							)

								with open(snake_case					,							encoding='''utf-8'''     ) as vocab_handle:
												UpperCAmelCase_					:Optional[Any]      			=      json.load(snake_case     )
								UpperCAmelCase_					:List[Any]      			=      {v: k for k, v in self.encoder.items()}
								UpperCAmelCase_					:str      			=      errors  # how to handle errors in decoding
								UpperCAmelCase_					:Optional[Any]      			=      bytes_to_unicode()
								UpperCAmelCase_					:Dict      			=      {v: k for k, v in self.byte_encoder.items()}
								with open(snake_case					,							encoding='''utf-8'''     ) as merges_handle:
												UpperCAmelCase_					:Tuple      			=      merges_handle.read().split('''\n'''     )[1:-1]
								UpperCAmelCase_					:List[Any]      			=      [tuple(merge.split()     ) for merge in bpe_merges]
								UpperCAmelCase_					:List[str]      			=      dict(zip(snake_case					,							range(len(snake_case     )     )     )     )
								UpperCAmelCase_					:List[str]      			=      {}
								UpperCAmelCase_					:Any      			=      add_prefix_space

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								UpperCAmelCase_					:Tuple      			=      re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''     )





				@property
				def 				snake_case_ (							self      :  List[str]     ):
								return len(self.encoder     )





				def 				snake_case_ (							self      :  Any     ):
								return dict(self.encoder					,							**self.added_tokens_encoder     )





				def 				snake_case_ (							self      :  Any					,							snake_case      :  Optional[Any]     ):
								if token in self.cache:
												return self.cache[token]
								UpperCAmelCase_					:Dict      			=      tuple(snake_case     )
								UpperCAmelCase_					:Optional[int]      			=      get_pairs(snake_case     )

								if not pairs:
												return token

								while True:
												UpperCAmelCase_					:Optional[Any]      			=      min(snake_case					,							key=lambda snake_case     : self.bpe_ranks.get(snake_case					,							float('''inf'''     )     )     )
												if bigram not in self.bpe_ranks:
																break
												UpperCAmelCase_					:Tuple      			=      bigram
												UpperCAmelCase_					:str      			=      []
												UpperCAmelCase_					:Any      			=      0
												while i < len(snake_case     ):
																try:
																				UpperCAmelCase_					:Optional[int]      			=      word.index(snake_case					,							snake_case     )
																except ValueError:
																				new_word.extend(word[i:]     )
																				break
																else:
																				new_word.extend(word[i:j]     )
																				UpperCAmelCase_					:List[Any]      			=      j

																if word[i] == first and i < len(snake_case     ) - 1 and word[i + 1] == second:
																				new_word.append(first + second     )
																				i += 2
																else:
																				new_word.append(word[i]     )
																				i += 1
												UpperCAmelCase_					:Tuple      			=      tuple(snake_case     )
												UpperCAmelCase_					:List[str]      			=      new_word
												if len(snake_case     ) == 1:
																break
												else:
																UpperCAmelCase_					:int      			=      get_pairs(snake_case     )
								UpperCAmelCase_					:Union[str, Any]      			=      ''' '''.join(snake_case     )
								UpperCAmelCase_					:Optional[int]      			=      word
								return word





				def 				snake_case_ (							self      :  List[Any]					,							snake_case      :  Tuple     ):
								UpperCAmelCase_					:Optional[Any]      			=      []
								for token in re.findall(self.pat					,							snake_case     ):
												UpperCAmelCase_					:List[Any]      			=      ''''''.join(
												    self.byte_encoder[b] for b in token.encode('''utf-8'''     )     )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
												bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case     ).split(''' '''     )     )
								return bpe_tokens





				def 				snake_case_ (							self      :  List[Any]					,							snake_case      :  Union[str, Any]     ):
								return self.encoder.get(snake_case					,							self.encoder.get(self.unk_token     )     )





				def 				snake_case_ (							self      :  Optional[int]					,							snake_case      :  int     ):
								return self.decoder.get(snake_case     )





				def 				snake_case_ (							self      :  Optional[Any]					,							snake_case      :  Union[str, Any]     ):
								UpperCAmelCase_					:str      			=      ''''''.join(snake_case     )
								UpperCAmelCase_					:Dict      			=      bytearray([self.byte_decoder[c] for c in text]     ).decode('''utf-8'''					,							errors=self.errors     )
								return text





				def 				snake_case_ (							self      :  int					,							snake_case      :  str					,							snake_case      :  Optional[str] = None     ):
								if not os.path.isdir(snake_case     ):
												logger.error(f'Vocabulary path ({save_directory}) should be a directory'     )
												return
								UpperCAmelCase_					:Tuple      			=      os.path.join(
								    snake_case					,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']     )
								UpperCAmelCase_					:Any      			=      os.path.join(
								    snake_case					,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']     )

								with open(snake_case					,							'''w'''					,							encoding='''utf-8'''     ) as f:
												f.write(json.dumps(self.encoder					,							indent=2					,							sort_keys=snake_case					,							ensure_ascii=snake_case     ) + '''\n'''     )

								UpperCAmelCase_					:List[Any]      			=      0
								with open(snake_case					,							'''w'''					,							encoding='''utf-8'''     ) as writer:
												writer.write('''#version: 0.2\n'''     )
												for bpe_tokens, token_index in sorted(self.bpe_ranks.items()					,							key=lambda snake_case     : kv[1]     ):
																if index != token_index:
																				logger.warning(
																				    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
																				    ''' Please check that the tokenizer is not corrupted!'''     )
																				UpperCAmelCase_					:int      			=      token_index
																writer.write(''' '''.join(snake_case     ) + '''\n'''     )
																index += 1

								return vocab_file, merge_file





				def 				snake_case_ (							self      :  Optional[int]					,							snake_case      :  List[int]					,							snake_case      :  Optional[List[int]] = None     ):
								if token_ids_a is None:
												return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								UpperCAmelCase_					:Any      			=      [self.cls_token_id]
								UpperCAmelCase_					:Any      			=      [self.sep_token_id]
								return cls + token_ids_a + sep + sep + token_ids_a + sep





				def 				snake_case_ (							self      :  Union[str, Any]					,							snake_case      :  List[int]					,							snake_case      :  Optional[List[int]] = None					,							snake_case      :  bool = False     ):
								if already_has_special_tokens:
												return super().get_special_tokens_mask(
												    token_ids_a=snake_case					,							token_ids_a=snake_case					,							already_has_special_tokens=snake_case     )

								if token_ids_a is None:
												return [1] + ([0] * len(snake_case     )) + [1]
								return [1] + ([0] * len(snake_case     )) + [1, 1] + ([0] * len(snake_case     )) + [1]





				def 				snake_case_ (							self      :  Dict					,							snake_case      :  List[int]					,							snake_case      :  Optional[List[int]] = None     ):
								UpperCAmelCase_					:int      			=      [self.sep_token_id]
								UpperCAmelCase_					:Tuple      			=      [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      :  List[str]					,							snake_case      :  List[str]					,							snake_case      :  Optional[Any]=False					,							**snake_case      :  Dict     ):
								UpperCAmelCase_					:int      			=      kwargs.pop('''add_prefix_space'''					,							self.add_prefix_space     )
								if (is_split_into_words or add_prefix_space) and (len(snake_case     ) > 0 and not text[0].isspace()):
												UpperCAmelCase_					:Any      			=      ''' ''' + text
								return (text, kwargs)








"""simple docstring"""

# This Python program implements an optimal binary search tree (abbreviated BST)
# building dynamic programming algorithm that delivers O(n^2) performance.
#
# The goal of the optimal BST problem is to build a low-cost BST for a
# given set of nodes, each with its own key and frequency. The frequency
# of the node is defined as how many time the node is being searched.
# The search cost of binary search tree is given by this formula:
#
# cost(1, n) = sum{i = 1 to n}((depth(node_i) + 1) * node_i_freq)
#
# where n is number of nodes in the BST. The characteristic of low-cost
# BSTs is having a faster overall search time than other implementations.
# The reason for their fast search time is that the nodes with high
# frequencies will be placed near the root of the tree while the nodes
# with low frequencies will be placed near the leaves of the tree thus
# reducing search time in the most frequent instances.
import sys
from random import randint



class  _snake_case				:

				'''simple docstring'''




				def __init__(							self      :  str					,							snake_case      :  Optional[Any]					,							snake_case      :  str     ):
								UpperCAmelCase_					:Union[str, Any]      			=      key
								UpperCAmelCase_					:str      			=      freq





				def __str__(							self      :  Optional[Any]     ):
								return f'Node(key={self.key}, freq={self.freq})'



def 				a (						__snake_case     :				int,    __snake_case     :				Optional[int],    __snake_case     :				Tuple,    __snake_case     :				Any,    __snake_case     :				Dict,    __snake_case     :				List[str]  ):



				'''simple docstring'''





				if i > j or i < 0 or j > len(__snake_case  ) - 1:
								return

				UpperCAmelCase_					:List[str]      			=      root[i][j]
				if parent == -1:  # root does not have a parent
								print(f'{key[node]} is the root of the binary search tree.'  )
				elif is_left:
								print(f'{key[node]} is the left child of key {parent}.'  )
				else:
								print(f'{key[node]} is the right child of key {parent}.'  )

				print_binary_search_tree(__snake_case,    __snake_case,    __snake_case,    node - 1,    key[node],    __snake_case  )
				print_binary_search_tree(__snake_case,    __snake_case,    node + 1,    __snake_case,    key[node],    __snake_case  )



def 				a (						__snake_case     :				Optional[Any]  ):



				'''simple docstring'''





				nodes.sort(key=lambda __snake_case  : node.key  )

				UpperCAmelCase_					:List[str]      			=      len(__snake_case  )

				UpperCAmelCase_					:Any      			=      [nodes[i].key for i in range(__snake_case  )]
				UpperCAmelCase_					:int      			=      [nodes[i].freq for i in range(__snake_case  )]

				# This 2D array stores the overall tree cost (which's as minimized as possible);
				# for a single key, cost is equal to frequency of the key.
				UpperCAmelCase_					:Dict      			=      [[freqs[i] if i == j else 0 for j in range(__snake_case  )] for i in range(__snake_case  )]
				# sum[i][j] stores the sum of key frequencies between i and j inclusive in nodes
				# array
				UpperCAmelCase_					:Optional[Any]      			=      [[freqs[i] if i == j else 0 for j in range(__snake_case  )] for i in range(__snake_case  )]
				# stores tree roots that will be used later for constructing binary search tree
				UpperCAmelCase_					:int      			=      [[i if i == j else 0 for j in range(__snake_case  )] for i in range(__snake_case  )]

				for interval_length in range(2,    n + 1  ):
								for i in range(n - interval_length + 1  ):
												UpperCAmelCase_					:Union[str, Any]      			=      i + interval_length - 1

												UpperCAmelCase_					:Optional[int]      			=      sys.maxsize  # set the value to "infinity"
												UpperCAmelCase_					:List[Any]      			=      total[i][j - 1] + freqs[j]

												# Apply Knuth's optimization
												# Loop without optimization: for r in range(i, j + 1):
												for r in range(root[i][j - 1],    root[i + 1][j] + 1  ):  # r is a temporal root
																UpperCAmelCase_					:Any      			=      dp[i][r - 1] if r != i else 0  # optimal cost for left subtree
																UpperCAmelCase_					:Optional[int]      			=      dp[r + 1][j] if r != j else 0  # optimal cost for right subtree
																UpperCAmelCase_					:Union[str, Any]      			=      left + total[i][j] + right

																if dp[i][j] > cost:
																				UpperCAmelCase_					:Optional[Any]      			=      cost
																				UpperCAmelCase_					:Optional[int]      			=      r

				print('''Binary search tree nodes:'''  )
				for node in nodes:
								print(__snake_case  )

				print(f'\nThe cost of optimal BST for given tree nodes is {dp[0][n - 1]}.'  )
				print_binary_search_tree(__snake_case,    __snake_case,    0,    n - 1,    -1,    __snake_case  )



def 				a (						):



				'''simple docstring'''





				UpperCAmelCase_					:Union[str, Any]      			=      [Node(__snake_case,    randint(1,    50  )  ) for i in range(10,    0,    -1  )]
				find_optimal_binary_search_tree(__snake_case  )


if __name__ == "__main__":
						main()


