'''simple docstring'''

from collections.abc import Sequence
from queue import Queue







class 				_lowercase     :


 '''simple docstring'''






 def __init__(      self   :	int      ,       SCREAMING_SNAKE_CASE__   :	List[Any]      ,       SCREAMING_SNAKE_CASE__   :	List[Any]      ,       SCREAMING_SNAKE_CASE__   :	Optional[int]      ,       SCREAMING_SNAKE_CASE__   :	Dict=None      ,       SCREAMING_SNAKE_CASE__   :	str=None							)  ->    Optional[int]:
  __lowerCAmelCase											=						start
  __lowerCAmelCase											=						end
  __lowerCAmelCase											=						val
  __lowerCAmelCase											=						(start + end) // 2
  __lowerCAmelCase											=						left
  __lowerCAmelCase											=						right





 def __repr__(      self   :	Optional[Any]							)  ->    Tuple:
  return f"""SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"""







class 				_lowercase     :


 '''simple docstring'''






 def __init__(      self   :	Any      ,       SCREAMING_SNAKE_CASE__   :	Sequence      ,       SCREAMING_SNAKE_CASE__   :	Optional[int]							)  ->    Optional[int]:
  __lowerCAmelCase											=						collection
  __lowerCAmelCase											=						function
  if self.collection:
   __lowerCAmelCase											=						self._build_tree(0      ,       len(SCREAMING_SNAKE_CASE__							) - 1							)
 def a					(      self   :	Optional[Any]      ,       SCREAMING_SNAKE_CASE__   :	List[str]      ,       SCREAMING_SNAKE_CASE__   :	int							)  ->    List[str]:
  self._update_tree(self.root      ,       SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							)
 def a					(      self   :	str      ,       SCREAMING_SNAKE_CASE__   :	str      ,       SCREAMING_SNAKE_CASE__   :	Tuple							)  ->    str:
  return self._query_range(self.root      ,       SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							)
 def a					(      self   :	List[str]      ,       SCREAMING_SNAKE_CASE__   :	Union[str, Any]      ,       SCREAMING_SNAKE_CASE__   :	str							)  ->    Tuple:
  if start == end:
   return SegmentTreeNode(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__      ,       self.collection[start]							)
  __lowerCAmelCase											=						(start + end) // 2
  __lowerCAmelCase											=						self._build_tree(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase											=						self._build_tree(mid + 1      ,       SCREAMING_SNAKE_CASE__							)
  return SegmentTreeNode(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__      ,       self.fn(left.val      ,       right.val							)      ,       SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							)
 def a					(      self   :	Any      ,       SCREAMING_SNAKE_CASE__   :	List[str]      ,       SCREAMING_SNAKE_CASE__   :	List[str]      ,       SCREAMING_SNAKE_CASE__   :	str							)  ->    Optional[int]:
  if node.start == i and node.end == i:
   __lowerCAmelCase											=						val
   return
  if i <= node.mid:
   self._update_tree(node.left      ,       SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							)
  else:
   self._update_tree(node.right      ,       SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase											=						self.fn(node.left.val      ,       node.right.val							)
 def a					(      self   :	Optional[Any]      ,       SCREAMING_SNAKE_CASE__   :	List[str]      ,       SCREAMING_SNAKE_CASE__   :	Dict      ,       SCREAMING_SNAKE_CASE__   :	str							)  ->    Tuple:
  if node.start == i and node.end == j:
   return node.val

  if i <= node.mid:
   if j <= node.mid:
    # range in left child tree
    return self._query_range(node.left      ,       SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							)
   else:
    # range in left child tree and right child tree
    return self.fn(
        self._query_range(node.left      ,       SCREAMING_SNAKE_CASE__      ,       node.mid							)      ,       self._query_range(node.right      ,       node.mid + 1      ,       SCREAMING_SNAKE_CASE__							)      ,       )
  else:
   # range in right child tree
   return self._query_range(node.right      ,       SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							)





 def a					(      self   :	Optional[Any]							)  ->    Tuple:
  if self.root is not None:
   __lowerCAmelCase											=						Queue()
   queue.put(self.root							)
   while not queue.empty():
    __lowerCAmelCase											=						queue.get()
    yield node

    if node.left is not None:
     queue.put(node.left							)

    if node.right is not None:
     queue.put(node.right							)


if __name__ == "__main__":
 import operator

 for fn in [operator.add, max, min]:
  print('''*''' * 50)
  _A			:      Optional[Any]					      =				SegmentTree([2, 1, 5, 3, 4], fn)
  for node in arr.traverse():
   print(node)
  print()

  arr.update(1, 5)
  for node in arr.traverse():
   print(node)
  print()

  print(arr.query_range(3, 4))  # 7
  print(arr.query_range(2, 2))  # 5
  print(arr.query_range(1, 3))  # 13
  print()







'''simple docstring'''

import itertools
from dataclasses import dataclass
from typing import Optional

import pandas as pd
import pyarrow as pa

import datasets
from datasets.table import table_cast







@dataclass
class 				_lowercase     (				datasets.BuilderConfig			):


 '''simple docstring'''






 _SCREAMING_SNAKE_CASE     :       Optional[datasets.Features]      	=					None







class 				_lowercase     (				datasets.ArrowBasedBuilder			):


 '''simple docstring'''






 _SCREAMING_SNAKE_CASE     :       Union[str, Any]      	=					PandasConfig
 def a					(      self   :	Union[str, Any]							)  ->    int:
  return datasets.DatasetInfo(features=self.config.features							)
 def a					(      self   :	Any      ,       SCREAMING_SNAKE_CASE__   :	Union[str, Any]							)  ->    str:
  if not self.config.data_files:
   raise ValueError(f"""At least one data file must be specified, but got data_files={self.config.data_files}"""							)
  __lowerCAmelCase											=						dl_manager.download_and_extract(self.config.data_files							)
  if isinstance(SCREAMING_SNAKE_CASE__      ,       (str, list, tuple)							):
   __lowerCAmelCase											=						data_files
   if isinstance(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							):
    __lowerCAmelCase											=						[files]
   # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
   __lowerCAmelCase											=						[dl_manager.iter_files(SCREAMING_SNAKE_CASE__							) for file in files]
   return [datasets.SplitGenerator(name=datasets.Split.TRAIN      ,       gen_kwargs={"""files""": files}							)]
  __lowerCAmelCase											=						[]
  for split_name, files in data_files.items():
   if isinstance(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__							):
    __lowerCAmelCase											=						[files]
   # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
   __lowerCAmelCase											=						[dl_manager.iter_files(SCREAMING_SNAKE_CASE__							) for file in files]
   splits.append(datasets.SplitGenerator(name=SCREAMING_SNAKE_CASE__      ,       gen_kwargs={"""files""": files}							)							)
  return splits
 def a					(      self   :	Any      ,       SCREAMING_SNAKE_CASE__   :	pa.Table							)  ->    pa.Table:
  if self.config.features is not None:
   # more expensive cast to support nested features with keys in a different order
   # allows str <-> int/float or str to Audio for example
   __lowerCAmelCase											=						table_cast(SCREAMING_SNAKE_CASE__      ,       self.config.features.arrow_schema							)
  return pa_table





 def a					(      self   :	Any      ,       SCREAMING_SNAKE_CASE__   :	Optional[Any]							)  ->    List[Any]:
  for i, file in enumerate(itertools.chain.from_iterable(SCREAMING_SNAKE_CASE__							)							):
   with open(SCREAMING_SNAKE_CASE__      ,       """rb"""							) as f:
    __lowerCAmelCase											=						pa.Table.from_pandas(pd.read_pickle(SCREAMING_SNAKE_CASE__							)							)
    yield i, self._cast_table(SCREAMING_SNAKE_CASE__							)






