
'''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     :   Union[str, Any]           =   logging.get_logger(__name__)

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

A     :   str           =   {
    "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     :   Union[str, Any]           =   {
    "Salesforce/codegen-350M-mono": 2_0_4_8,
}
@lru_cache()
def   snake_case_       (							):
      snake_case_						       =							(
          list(range(ord("!"			) ,					ord("~"			) + 1			)			) + list(range(ord("¡"			) ,					ord("¬"			) + 1			)			) + list(range(ord("®"			) ,					ord("ÿ"			) + 1			)			)
      )
      snake_case_						       =							bs[:]
      snake_case_						       =							0
      for b in range(2**8			):
            if b not in bs:
                  bs.append(lowercase_			)
                  cs.append(2**8 + n			)
                  n += 1
      snake_case_						       =							[chr(lowercase_			) for n in cs]
      return dict(zip(lowercase_ ,					lowercase_			)			)
def   snake_case_       (							_a     :							Dict			):
      snake_case_						       =							set()
      snake_case_						       =							word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)			)
            snake_case_						       =							char
      return pairs




class  lowerCAmelCase__   (       __UpperCAmelCase       ):



  '''simple docstring'''






  _UpperCamelCase						= VOCAB_FILES_NAMES
  _UpperCamelCase						= PRETRAINED_VOCAB_FILES_MAP
  _UpperCamelCase						= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _UpperCamelCase						= ['input_ids', 'attention_mask']

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

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

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

  @property
  def 		_lowerCamelCase	(self  : List[str]    )   ->       Union[str, Any]:
        return len(self.encoder    )

  def 		_lowerCamelCase	(self  : str    )   ->       Any:
        return dict(self.encoder	, **self.added_tokens_encoder    )

  def 		_lowerCamelCase	(self  : int	, lowerCAmelCase_  : Union[str, Any]    )   ->       Optional[Any]:

        if token in self.cache:
              return self.cache[token]
        snake_case_						       =							tuple(lowercase_    )
        snake_case_						       =							get_pairs(lowercase_    )

        if not pairs:
              return token

        while True:
              snake_case_						       =							min(lowercase_	, key=lambda lowerCAmelCase_    : self.bpe_ranks.get(lowercase_	, float("inf"    )    )    )
              if bigram not in self.bpe_ranks:
                    break
              snake_case_						       =							bigram
              snake_case_						       =							[]
              snake_case_						       =							0
              while i < len(lowercase_    ):
                    try:
                          snake_case_						       =							word.index(lowercase_	, lowercase_    )
                    except ValueError:
                          new_word.extend(word[i:]    )
                          break
                    else:
                          new_word.extend(word[i:j]    )
                          snake_case_						       =							j

                    if word[i] == first and i < len(lowercase_    ) - 1 and word[i + 1] == second:
                          new_word.append(first + second    )
                          i += 2
                    else:
                          new_word.append(word[i]    )
                          i += 1
              snake_case_						       =							tuple(lowercase_    )
              snake_case_						       =							new_word
              if len(lowercase_    ) == 1:
                    break
              else:
                    snake_case_						       =							get_pairs(lowercase_    )
        snake_case_						       =							''' '''.join(lowercase_    )
        snake_case_						       =							word
        return word

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

        if self.add_bos_token:
              snake_case_						       =							[self.bos_token_id]
        else:
              snake_case_						       =							[]

        snake_case_						       =							bos_token_ids + token_ids_a

        if token_ids_a is None:
              return output

        return output + bos_token_ids + token_ids_a

  def 		_lowerCamelCase	(self  : Dict	, lowerCAmelCase_  : Tuple    )   ->       Dict:
        snake_case_						       =							[]
        for token in re.findall(self.pat	, lowercase_    ):
              snake_case_						       =							''''''.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(lowercase_    ).split(" "    )    )
        return bpe_tokens

  def 		_lowerCamelCase	(self  : Union[str, Any]	, lowerCAmelCase_  : Any    )   ->       Any:
        return self.encoder.get(lowercase_	, self.encoder.get(self.unk_token    )    )

  def 		_lowerCamelCase	(self  : Optional[Any]	, lowerCAmelCase_  : int    )   ->       int:
        return self.decoder.get(lowercase_    )

  def 		_lowerCamelCase	(self  : Any	, lowerCAmelCase_  : Tuple    )   ->       List[Any]:
        snake_case_						       =							''''''.join(lowercase_    )
        snake_case_						       =							bytearray([self.byte_decoder[c] for c in text]    ).decode("utf-8"	, errors=self.errors    )
        return text

  def 		_lowerCamelCase	(self  : Dict	, lowerCAmelCase_  : List[str]	, lowerCAmelCase_  : Union[str, Any] = None    )   ->       Tuple[str]:

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

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

        snake_case_						       =							0
        with open(lowercase_	, "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 lowerCAmelCase_    : 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!"    )
                          snake_case_						       =							token_index
                    writer.write(" ".join(lowercase_    ) + "\n"    )
                    index += 1

        return vocab_file, merge_file

  def 		_lowerCamelCase	(self  : Optional[Any]	, lowerCAmelCase_  : str	, lowerCAmelCase_  : List[str]=False	, **lowerCAmelCase_  : List[Any]    )   ->       Tuple:
        snake_case_						       =							kwargs.pop("add_prefix_space"	, self.add_prefix_space    )
        if is_split_into_words or add_prefix_space:
              snake_case_						       =							''' ''' + text
        return (text, kwargs)

  def 		_lowerCamelCase	(self  : List[str]	, lowerCAmelCase_  : Dict	, lowerCAmelCase_  : Union[str, Any] = False	, lowerCAmelCase_  : List[Any] = None	, lowerCAmelCase_  : str = None	, **lowerCAmelCase_  : int	, )   ->       str:
        snake_case_						       =							super()._decode(
            token_ids=lowercase_	, skip_special_tokens=lowercase_	, clean_up_tokenization_spaces=lowercase_	, **lowercase_	, )

        if truncate_before_pattern is not None and len(lowercase_    ) > 0:
              snake_case_						       =							self.truncate(lowercase_	, lowercase_    )

        return decoded_text


  def 		_lowerCamelCase	(self  : Dict	, lowerCAmelCase_  : Dict	, lowerCAmelCase_  : Tuple    )   ->       Union[str, Any]:

        def find_re(lowerCAmelCase_  : str	, lowerCAmelCase_  : List[str]	, lowerCAmelCase_  : Dict    ):
              snake_case_						       =							pattern.search(lowercase_	, lowercase_    )
              return m.start() if m else -1

        snake_case_						       =							[re.compile(lowercase_	, re.MULTILINE    ) for pattern in truncate_before_pattern]

        snake_case_						       =							list(re.finditer("^print"	, lowercase_	, re.MULTILINE    )    )

        if len(lowercase_    ) > 1:
              snake_case_						       =							completion[: prints[1].start()]

        snake_case_						       =							list(re.finditer("^def"	, lowercase_	, re.MULTILINE    )    )

        if len(lowercase_    ) > 1:
              snake_case_						       =							completion[: defs[1].start()]

        snake_case_						       =							0

        snake_case_						       =							[
            pos for pos in [find_re(lowercase_	, lowercase_	, lowercase_    ) for terminal in terminals] if pos != -1
        ]

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



'''simple docstring'''





from __future__ import annotations

A           =   [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]



class  lowerCAmelCase__   :



  '''simple docstring'''






  def __init__(self  : Optional[int]	, lowerCAmelCase_  : int    )   ->       None:
        snake_case_						       =							-1
        snake_case_						       =							-1
        snake_case_						       =							[-1] * length
        snake_case_						       =							None
        snake_case_						       =							None


  def __repr__(self  : List[Any]    )   ->       str:
        return f'''Node(min_value={self.minn} max_value={self.maxx})'''

def   snake_case_       (							_a     :							list[int]			):
      snake_case_						       =							Node(len(_a			)			)
      snake_case_       ,	snake_case_						       =							min(_a			), max(_a			)
      # Leaf node case where the node contains only one unique value
      if root.minn == root.maxx:
            return root
      snake_case_						       =							(root.minn + root.maxx) // 2

      snake_case_						       =							[]
      snake_case_						       =							[]

      for index, num in enumerate(_a			):
            if num <= pivot:
                  left_arr.append(_a			)
            else:
                  right_arr.append(_a			)
            snake_case_						       =							len(_a			)
      snake_case_						       =							build_tree(_a			)
      snake_case_						       =							build_tree(_a			)
      return root
def   snake_case_       (							_a     :							Node | None ,					_a     :							int ,					_a     :							int			):
      if index < 0 or node is None:
            return 0
      # Leaf node cases
      if node.minn == node.maxx:
            return index + 1 if node.minn == num else 0
      snake_case_						       =							(node.minn + node.maxx) // 2
      if num <= pivot:
            # go the left subtree and map index to the left subtree
            return rank_till_index(node.left ,					_a ,					node.map_left[index] - 1			)
      else:
            # go to the right subtree and map index to the right subtree
            return rank_till_index(node.right ,					_a ,					index - node.map_left[index]			)
def   snake_case_       (							_a     :							Node | None ,					_a     :							int ,					_a     :							int ,					_a     :							int			):
      if start > end:
            return 0
      snake_case_						       =							rank_till_index(_a ,					_a ,					_a			)
      snake_case_						       =							rank_till_index(_a ,					_a ,					start - 1			)
      return rank_till_end - rank_before_start
def   snake_case_       (							_a     :							Node | None ,					_a     :							int ,					_a     :							int ,					_a     :							int			):
      if index > (end - start) or start > end or node is None:
            return -1
      # Leaf node case
      if node.minn == node.maxx:
            return node.minn
      # Number of elements in the left subtree in interval [start, end]
      snake_case_						       =							node.map_left[end] - (
          node.map_left[start - 1] if start else 0
      )
      if num_elements_in_left_tree > index:
            return quantile(
                node.left ,					_a ,					(node.map_left[start - 1] if start else 0) ,					node.map_left[end] - 1 ,					)
      else:
            return quantile(
                node.right ,					index - num_elements_in_left_tree ,					start - (node.map_left[start - 1] if start else 0) ,					end - node.map_left[end] ,					)
def   snake_case_       (							_a     :							Node | None ,					_a     :							int ,					_a     :							int ,					_a     :							int ,					_a     :							int			):
      if (
          start > end
          or node is None
          or start_num > end_num
          or node.minn > end_num
          or node.maxx < start_num
      ):
            return 0
      if start_num <= node.minn and node.maxx <= end_num:
            return end - start + 1
      snake_case_						       =							range_counting(
          node.left ,					(node.map_left[start - 1] if start else 0) ,					node.map_left[end] - 1 ,					_a ,					_a ,					)
      snake_case_						       =							range_counting(
          node.right ,					start - (node.map_left[start - 1] if start else 0) ,					end - node.map_left[end] ,					_a ,					_a ,					)
      return left + right


if __name__ == "__main__":
     import doctest

     doctest.testmod()

