

'''simple docstring'''






import json
import re
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np

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 tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_codegen import CodeGenTokenizer


lowerCAmelCase__											=	logging.get_logger(__name__)

lowerCAmelCase__											=	{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase__											=	{
    '''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''',
    },
    '''tokenizer_file''': {
        '''Salesforce/codegen-350M-mono''': (
            '''https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/tokenizer.json'''
        ),
    },
}

lowerCAmelCase__											=	{
    '''Salesforce/codegen-350M-mono''': 2048,
}






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  Optional[Any]							=			VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE    :  Tuple							=			PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE    :  str							=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE    :  Any							=			['input_ids', 'attention_mask']
  SCREAMING_SNAKE_CASE    :  Tuple							=			CodeGenTokenizer






  def __init__(      self   :     List[str]					,lowercase__   :     Tuple=None					,lowercase__   :     int=None					,lowercase__   :     int=None					,lowercase__   :     Dict="<|endoftext|>"					,lowercase__   :     List[str]="<|endoftext|>"					,lowercase__   :     Union[str, Any]="<|endoftext|>"					,lowercase__   :     List[str]=False					,**lowercase__   :     Optional[int]					,):
   super().__init__(
       lowercase__					,lowercase__					,tokenizer_file=lowercase__					,unk_token=lowercase__					,bos_token=lowercase__					,eos_token=lowercase__					,add_prefix_space=lowercase__					,**lowercase__					,)

   if kwargs.pop('''add_bos_token'''					,lowercase__			):
    __lowercase							  = kwargs.pop('''name_or_path'''					,''''''			)
    raise ValueError(
        '''Currenty GPT2\'s fast tokenizer does NOT support adding a BOS token.'''
        '''Instead you should use GPT2\'s slow tokenizer class `CodeGenTokenizer` as follows: \n'''
        F"`CodeGenTokenizer.from_pretrained('{model_id}')`\nor\n"
        F"`AutoTokenizer.from_pretrained('{model_id}', use_fast=False)`\n"
        '''This issue will be fixed soon, see: https://github.com/huggingface/tokenizers/pull/1005.'''
        ''' so that the fast tokenizer works correctly.'''			)

   __lowercase							  = json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
   if pre_tok_state.get('''add_prefix_space'''					,lowercase__			) != add_prefix_space:
    __lowercase							  = getattr(lowercase__					,pre_tok_state.pop('''type'''			)			)
    __lowercase							  = add_prefix_space
    __lowercase							  = pre_tok_class(**lowercase__			)

   __lowercase							  = add_prefix_space






  def 					SCREAMING_SNAKE_CASE      (      self   :     List[Any]					,*lowercase__   :     int					,**lowercase__   :     Dict			):
   __lowercase							  = kwargs.get('''is_split_into_words'''					,lowercase__			)
   assert self.add_prefix_space or not is_split_into_words, (
       F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
       "to use it with pretokenized inputs."
   )

   return super()._batch_encode_plus(*lowercase__					,**lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     str					,*lowercase__   :     Union[str, Any]					,**lowercase__   :     List[Any]			):
   __lowercase							  = kwargs.get('''is_split_into_words'''					,lowercase__			)

   assert self.add_prefix_space or not is_split_into_words, (
       F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
       "to use it with pretokenized inputs."
   )

   return super()._encode_plus(*lowercase__					,**lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Dict					,lowercase__   :     str					,lowercase__   :     Optional[str] = None			):
   __lowercase							  = self._tokenizer.model.save(lowercase__					,name=lowercase__			)
   return tuple(lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Any					,lowercase__   :     Union[int, List[int], "np.ndarray", "torch.Tensor", "tf.Tensor"]					,lowercase__   :     bool = False					,lowercase__   :     bool = None					,lowercase__   :     Optional[List[str]] = None					,**lowercase__   :     int					,):
   __lowercase							  = 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:
    __lowercase							  = self.truncate(lowercase__					,lowercase__			)

   return decoded_text






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

   __lowercase							  = [re.compile(lowercase__					,re.MULTILINE			) for pattern in truncate_before_pattern]

   __lowercase							  = list(re.finditer('''^print'''					,lowercase__					,re.MULTILINE			)			)

   if len(lowercase__			) > 1:
    __lowercase							  = completion[: prints[1].start()]

   __lowercase							  = list(re.finditer('''^def'''					,lowercase__					,re.MULTILINE			)			)

   if len(lowercase__			) > 1:
    __lowercase							  = completion[: defs[1].start()]

   __lowercase							  = 0

   __lowercase							  = [
       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





from __future__ import annotations

import math






class     UpperCAmelCase__       :



    """simple docstring"""






    def __init__(			self					,   A_    )  ->       None:
         __UpperCamelCase    							=size
         # approximate the overall size of segment tree with given value
         __UpperCamelCase    							=[0 for i in range(0					,   4 * size    )]
         # create array to store lazy update
         __UpperCamelCase    							=[0 for i in range(0					,   4 * size    )]
         __UpperCamelCase    							=[0 for i in range(0					,   4 * size    )]  # flag for lazy update






    def _a					(			self					,   A_    )  ->       int:
         return idx * 2






    def _a					(			self					,   A_    )  ->       int:
         return idx * 2 + 1






    def _a					(			self					,   A_					,   A_					,   A_					,   A_    )  ->       None:
         if left_element == right_element:
              __UpperCamelCase    							=a[left_element - 1]
         else:
              __UpperCamelCase    							=(left_element + right_element) // 2
              self.build(self.left(A_    )					,   A_					,   A_					,   A_    )
              self.build(self.right(A_    )					,   mid + 1					,   A_					,   A_    )
              __UpperCamelCase    							=max(
                  self.segment_tree[self.left(A_    )]					,   self.segment_tree[self.right(A_    )]    )






    def _a					(			self					,   A_					,   A_					,   A_					,   A_					,   A_					,   A_    )  ->       bool:
         if self.flag[idx] is True:
              __UpperCamelCase    							=self.lazy[idx]
              __UpperCamelCase    							=False
              if left_element != right_element:
                   __UpperCamelCase    							=self.lazy[idx]
                   __UpperCamelCase    							=self.lazy[idx]
                   __UpperCamelCase    							=True
                   __UpperCamelCase    							=True

         if right_element < a or left_element > b:
              return True
         if left_element >= a and right_element <= b:
              __UpperCamelCase    							=val
              if left_element != right_element:
                   __UpperCamelCase    							=val
                   __UpperCamelCase    							=val
                   __UpperCamelCase    							=True
                   __UpperCamelCase    							=True
              return True
         __UpperCamelCase    							=(left_element + right_element) // 2
         self.update(self.left(A_    )					,   A_					,   A_					,   A_					,   A_					,   A_    )
         self.update(self.right(A_    )					,   mid + 1					,   A_					,   A_					,   A_					,   A_    )
         __UpperCamelCase    							=max(
             self.segment_tree[self.left(A_    )]					,   self.segment_tree[self.right(A_    )]    )
         return True






    def _a					(			self					,   A_					,   A_					,   A_					,   A_					,   A_    )  ->       int | float:
         if self.flag[idx] is True:
              __UpperCamelCase    							=self.lazy[idx]
              __UpperCamelCase    							=False
              if left_element != right_element:
                   __UpperCamelCase    							=self.lazy[idx]
                   __UpperCamelCase    							=self.lazy[idx]
                   __UpperCamelCase    							=True
                   __UpperCamelCase    							=True
         if right_element < a or left_element > b:
              return -math.inf
         if left_element >= a and right_element <= b:
              return self.segment_tree[idx]
         __UpperCamelCase    							=(left_element + right_element) // 2
         __UpperCamelCase    							=self.query(self.left(A_    )					,   A_					,   A_					,   A_					,   A_    )
         __UpperCamelCase    							=self.query(self.right(A_    )					,   mid + 1					,   A_					,   A_					,   A_    )
         return max(A_					,   A_    )






    def __str__(			self    )  ->       str:
         return str([self.query(1					,   1					,   self.size					,   A_					,   A_    ) for i in range(1					,   self.size + 1    )]    )


if __name__ == "__main__":
   _A		       =						[1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
   _A		       =						15
   _A		       =						SegmentTree(size)
   segt.build(1, 1, size, A)
   print(segt.query(1, 1, size, 4, 6))
   print(segt.query(1, 1, size, 7, 11))
   print(segt.query(1, 1, size, 7, 12))
   segt.update(1, 1, size, 1, 3, 111)
   print(segt.query(1, 1, size, 1, 15))
   segt.update(1, 1, size, 7, 8, 235)
   print(segt)





