


'''simple docstring'''







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

import numpy as np
import regex as re

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
   if is_torch_available():
      import torch
   if is_tf_available():
      import tensorflow as tf

from ...tokenization_utils import AddedToken, PreTrainedTokenizer


A   :  int       		=				logging.get_logger(__name__)

A   :  List[Any]       		=				{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

A   :  Dict       		=				{
    '''vocab_file''': {
        '''Salesforce/codegen-350M-mono''': '''https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''Salesforce/codegen-350M-mono''': '''https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt''',
    },
}

A   :  List[Any]       		=				{
    '''Salesforce/codegen-350M-mono''': 2048,
}






@lru_cache()
def    lowerCAmelCase__ (       ):
       _A  :			int											=      (
           list(range(ord('!'     )						,ord('~'     ) + 1     )     ) + list(range(ord('¡'     )						,ord('¬'     ) + 1     )     ) + list(range(ord('®'     )						,ord('ÿ'     ) + 1     )     )
       )
       _A  :			List[Any]											=      bs[:]
       _A  :			Any											=      0
       for b in range(2**8     ):
              if b not in bs:
                     bs.append(lowerCamelCase     )
                     cs.append(2**8 + n     )
                     n += 1
       _A  :			Dict											=      [chr(lowerCamelCase     ) for n in cs]
       return dict(zip(lowerCamelCase						,lowerCamelCase     )     )






def    lowerCAmelCase__ (       lowerCamelCase  :    Any     ):
       _A  :			str											=      set()
       _A  :			Any											=      word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)     )
              _A  :			Union[str, Any]											=      char
       return pairs



class 				__lowerCamelCase				( a_ ):
    """simple docstring"""
    a									=					VOCAB_FILES_NAMES
    a									=					PRETRAINED_VOCAB_FILES_MAP
    a									=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a									=					["input_ids", "attention_mask"]


    def __init__(						self    :							str   ,							SCREAMING_SNAKE_CASE    :							Union[str, Any]   ,							SCREAMING_SNAKE_CASE    :							str   ,							SCREAMING_SNAKE_CASE    :							Any="replace"   ,							SCREAMING_SNAKE_CASE    :							str="<|endoftext|>"   ,							SCREAMING_SNAKE_CASE    :							str="<|endoftext|>"   ,							SCREAMING_SNAKE_CASE    :							Union[str, Any]="<|endoftext|>"   ,							SCREAMING_SNAKE_CASE    :							Optional[int]=None   ,							SCREAMING_SNAKE_CASE    :							List[Any]=False   ,							SCREAMING_SNAKE_CASE    :							List[Any]=False   ,							**SCREAMING_SNAKE_CASE    :							Optional[int]   ,							):
           _A  :			List[Any]											=      AddedToken(SCREAMING_SNAKE_CASE   ,							lstrip=SCREAMING_SNAKE_CASE   ,							rstrip=SCREAMING_SNAKE_CASE) if isinstance(SCREAMING_SNAKE_CASE   ,							SCREAMING_SNAKE_CASE) else bos_token
           _A  :			Optional[Any]											=      AddedToken(SCREAMING_SNAKE_CASE   ,							lstrip=SCREAMING_SNAKE_CASE   ,							rstrip=SCREAMING_SNAKE_CASE) if isinstance(SCREAMING_SNAKE_CASE   ,							SCREAMING_SNAKE_CASE) else eos_token
           _A  :			List[str]											=      AddedToken(SCREAMING_SNAKE_CASE   ,							lstrip=SCREAMING_SNAKE_CASE   ,							rstrip=SCREAMING_SNAKE_CASE) if isinstance(SCREAMING_SNAKE_CASE   ,							SCREAMING_SNAKE_CASE) else unk_token
           _A  :			int											=      AddedToken(SCREAMING_SNAKE_CASE   ,							lstrip=SCREAMING_SNAKE_CASE   ,							rstrip=SCREAMING_SNAKE_CASE) if isinstance(SCREAMING_SNAKE_CASE   ,							SCREAMING_SNAKE_CASE) else pad_token
           super().__init__(
               errors=SCREAMING_SNAKE_CASE   ,							unk_token=SCREAMING_SNAKE_CASE   ,							bos_token=SCREAMING_SNAKE_CASE   ,							eos_token=SCREAMING_SNAKE_CASE   ,							pad_token=SCREAMING_SNAKE_CASE   ,							add_prefix_space=SCREAMING_SNAKE_CASE   ,							add_bos_token=SCREAMING_SNAKE_CASE   ,							**SCREAMING_SNAKE_CASE   ,							)
           _A  :			List[str]											=      add_bos_token

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

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


    @property
    def      A					(						self    :							Optional[Any]):
           return len(self.encoder)


    def      A					(						self    :							str):
           return dict(self.encoder   ,							**self.added_tokens_encoder)


    def      A					(						self    :							Tuple   ,							SCREAMING_SNAKE_CASE    :							Dict):
           if token in self.cache:
                  return self.cache[token]
           _A  :			Any											=      tuple(SCREAMING_SNAKE_CASE)
           _A  :			Dict											=      get_pairs(SCREAMING_SNAKE_CASE)

           if not pairs:
                  return token

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

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


    def      A					(						self    :							Any   ,							SCREAMING_SNAKE_CASE    :							str   ,							SCREAMING_SNAKE_CASE    :							int=None):
           if self.add_bos_token:
                  _A  :			Optional[int]											=      [self.bos_token_id]
           else:
                  _A  :			List[Any]											=      []

           _A  :			List[Any]											=      bos_token_ids + token_ids_a

           if token_ids_a is None:
                  return output

           return output + bos_token_ids + token_ids_a


    def      A					(						self    :							Optional[Any]   ,							SCREAMING_SNAKE_CASE    :							Optional[int]):
           _A  :			List[Any]											=      []
           for token in re.findall(self.pat   ,							SCREAMING_SNAKE_CASE):
                  _A  :			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(SCREAMING_SNAKE_CASE).split(' '))
           return bpe_tokens


    def      A					(						self    :							Optional[int]   ,							SCREAMING_SNAKE_CASE    :							Tuple):
           return self.encoder.get(SCREAMING_SNAKE_CASE   ,							self.encoder.get(self.unk_token))


    def      A					(						self    :							Optional[int]   ,							SCREAMING_SNAKE_CASE    :							Optional[Any]):
           return self.decoder.get(SCREAMING_SNAKE_CASE)


    def      A					(						self    :							Any   ,							SCREAMING_SNAKE_CASE    :							Any):
           _A  :			Optional[Any]											=      ''.join(SCREAMING_SNAKE_CASE)
           _A  :			Optional[int]											=      bytearray([self.byte_decoder[c] for c in text]).decode('utf-8'   ,							errors=self.errors)
           return text


    def      A					(						self    :							Union[str, Any]   ,							SCREAMING_SNAKE_CASE    :							str   ,							SCREAMING_SNAKE_CASE    :							Optional[str] = None):
           if not os.path.isdir(SCREAMING_SNAKE_CASE):
                  logger.error(F'Vocabulary path ({save_directory}) should be a directory')
                  return
           _A  :			List[Any]											=      os.path.join(
               SCREAMING_SNAKE_CASE   ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
           _A  :			Any											=      os.path.join(
               SCREAMING_SNAKE_CASE   ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

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

           _A  :			Optional[int]											=      0
           with open(SCREAMING_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 SCREAMING_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!')
                                _A  :			List[str]											=      token_index
                         writer.write(' '.join(SCREAMING_SNAKE_CASE) + '\n')
                         index += 1

           return vocab_file, merge_file


    def      A					(						self    :							int   ,							SCREAMING_SNAKE_CASE    :							int   ,							SCREAMING_SNAKE_CASE    :							Optional[int]=False   ,							**SCREAMING_SNAKE_CASE    :							str):
           _A  :			Dict											=      kwargs.pop('add_prefix_space'   ,							self.add_prefix_space)
           if is_split_into_words or add_prefix_space:
                  _A  :			Union[str, Any]											=      ' ' + text
           return (text, kwargs)


    def      A					(						self    :							Optional[int]   ,							SCREAMING_SNAKE_CASE    :							Union[int, List[int], "np.ndarray", "torch.Tensor", "tf.Tensor"]   ,							SCREAMING_SNAKE_CASE    :							bool = False   ,							SCREAMING_SNAKE_CASE    :							bool = None   ,							SCREAMING_SNAKE_CASE    :							Optional[List[str]] = None   ,							**SCREAMING_SNAKE_CASE    :							List[str]   ,							):
           _A  :			Tuple											=      super()._decode(
               token_ids=SCREAMING_SNAKE_CASE   ,							skip_special_tokens=SCREAMING_SNAKE_CASE   ,							clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE   ,							**SCREAMING_SNAKE_CASE   ,							)

           if truncate_before_pattern is not None and len(SCREAMING_SNAKE_CASE) > 0:
                  _A  :			int											=      self.truncate(SCREAMING_SNAKE_CASE   ,							SCREAMING_SNAKE_CASE)

           return decoded_text


    def      A					(						self    :							str   ,							SCREAMING_SNAKE_CASE    :							List[str]   ,							SCREAMING_SNAKE_CASE    :							int):
           def find_re(SCREAMING_SNAKE_CASE    :							List[Any]   ,							SCREAMING_SNAKE_CASE    :							Optional[int]   ,							SCREAMING_SNAKE_CASE    :							Tuple):
                  _A  :			Union[str, Any]											=      pattern.search(SCREAMING_SNAKE_CASE   ,							SCREAMING_SNAKE_CASE)
                  return m.start() if m else -1

           _A  :			int											=      [re.compile(SCREAMING_SNAKE_CASE   ,							re.MULTILINE) for pattern in truncate_before_pattern]

           _A  :			str											=      list(re.finditer('^print'   ,							SCREAMING_SNAKE_CASE   ,							re.MULTILINE))

           if len(SCREAMING_SNAKE_CASE) > 1:
                  _A  :			Union[str, Any]											=      completion[: prints[1].start()]

           _A  :			Optional[int]											=      list(re.finditer('^def'   ,							SCREAMING_SNAKE_CASE   ,							re.MULTILINE))

           if len(SCREAMING_SNAKE_CASE) > 1:
                  _A  :			Optional[int]											=      completion[: defs[1].start()]

           _A  :			List[Any]											=      0

           _A  :			str											=      [
               pos for pos in [find_re(SCREAMING_SNAKE_CASE   ,							SCREAMING_SNAKE_CASE   ,							SCREAMING_SNAKE_CASE) for terminal in terminals] if pos != -1
           ]

           if len(SCREAMING_SNAKE_CASE) > 0:
                  return completion[: min(SCREAMING_SNAKE_CASE)]
           else:
                  return completion










'''simple docstring'''







class 				__lowerCamelCase				:
    """simple docstring"""


    def __init__(						self    :							Optional[Any]):
           _A  :			Optional[Any]											=      [0]
           _A  :			Optional[Any]											=      0


    def      A					(						self    :							List[Any]   ,							SCREAMING_SNAKE_CASE    :							int):
           _A  :			Optional[Any]											=      self.__heap[i]
           while i // 2 > 0:
                  if self.__heap[i] > self.__heap[i // 2]:
                         _A  :			Dict											=      self.__heap[i // 2]
                         _A  :			Optional[Any]											=      temporary
                  i //= 2


    def      A					(						self    :							List[Any]   ,							SCREAMING_SNAKE_CASE    :							int):
           self.__heap.append(SCREAMING_SNAKE_CASE)
           self.__size += 1
           self.__swap_up(self.__size)


    def      A					(						self    :							int   ,							SCREAMING_SNAKE_CASE    :							int):
           while self.__size >= 2 * i:
                  if 2 * i + 1 > self.__size:
                         _A  :			Optional[int]											=      2 * i
                  else:
                         if self.__heap[2 * i] > self.__heap[2 * i + 1]:
                                _A  :			Any											=      2 * i
                         else:
                                _A  :			Optional[Any]											=      2 * i + 1
                  _A  :			List[str]											=      self.__heap[i]
                  if self.__heap[i] < self.__heap[bigger_child]:
                         _A  :			Union[str, Any]											=      self.__heap[bigger_child]
                         _A  :			Optional[int]											=      temporary
                  _A  :			Any											=      bigger_child


    def      A					(						self    :							List[str]):
           _A  :			str											=      self.__heap[1]
           _A  :			Tuple											=      self.__heap[self.__size]
           self.__size -= 1
           self.__heap.pop()
           self.__swap_down(1)
           return max_value


    @property
    def      A					(						self    :							int):
           return self.__heap[1:]


    def __len__(						self    :							List[str]):
           return self.__size


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   # create an instance of BinaryHeap
   A   :  Dict       		=				BinaryHeap()
   binary_heap.insert(6)
   binary_heap.insert(10)
   binary_heap.insert(15)
   binary_heap.insert(12)
   # pop root(max-values because it is max heap)
   print(binary_heap.pop())  # 15
   print(binary_heap.pop())  # 12
   # get the list and size after operations
   print(binary_heap.get_list)
   print(len(binary_heap))






