

"""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 	__UpperCamelCase    (    datasets.BuilderConfig						):
  _UpperCAmelCase          =		None







class 	__UpperCamelCase    (    datasets.ArrowBasedBuilder						):
  _UpperCAmelCase          =		PandasConfig

  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return datasets.DatasetInfo(features=self.config.features      )

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      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       :   Optional[Any]  =    dl_manager.download_and_extract(self.config.data_files      )
      if isinstance(_A    ,(str, list, tuple)      ):
          _lowerCAmelCase       :   Tuple  =    data_files
          if isinstance(_A    ,_A      ):
              _lowerCAmelCase       :   List[str]  =    [files]
          # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
          _lowerCAmelCase       :   List[str]  =    [dl_manager.iter_files(_A      ) for file in files]
          return [datasets.SplitGenerator(name=datasets.Split.TRAIN    ,gen_kwargs={'files': files}      )]
      _lowerCAmelCase       :   Any  =    []
      for split_name, files in data_files.items():
          if isinstance(_A    ,_A      ):
              _lowerCAmelCase       :   int  =    [files]
          # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
          _lowerCAmelCase       :   List[str]  =    [dl_manager.iter_files(_A      ) for file in files]
          splits.append(datasets.SplitGenerator(name=_A    ,gen_kwargs={'files': files}      )      )
      return splits

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      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       :   Optional[int]  =    table_cast(_A    ,self.config.features.arrow_schema      )
      return pa_table







  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      for i, file in enumerate(itertools.chain.from_iterable(_A      )      ):
          with open(_A    ,'rb'      ) as f:
              _lowerCAmelCase       :   List[Any]  =    pa.Table.from_pandas(pd.read_pickle(_A      )      )
              yield i, self._cast_table(_A      )








"""simple docstring"""






from collections.abc import Callable







class 	__UpperCamelCase    :

  def __init__(		self    ,_A = None      ):
      '''simple docstring'''

      _lowerCAmelCase       :   list  =    []
      # Stores indexes of each item for supporting updates and deletion.
      _lowerCAmelCase       :   dict  =    {}
      # Stores current size of heap.
      _lowerCAmelCase       :   Union[str, Any]  =    0
      # Stores function used to evaluate the score of an item on which basis ordering
      # will be done.
      _lowerCAmelCase       :   Union[str, Any]  =    key or (lambda _A      : x)

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      return int((i - 1) / 2      ) if i > 0 else None

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Union[str, Any]  =    int(2 * i + 1      )
      return left if 0 < left < self.size else None

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   str  =    int(2 * i + 2      )
      return right if 0 < right < self.size else None

  def __lowerCamelCase		(		self    ,_A    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase,					_lowerCAmelCase       :   Tuple  =    (
          self.pos_map[self.arr[j][0]],
          self.pos_map[self.arr[i][0]],
      )
      # Then swap the items in the list.
      _lowerCAmelCase,					_lowerCAmelCase       :   Tuple  =    self.arr[j], self.arr[i]

  def __lowerCamelCase		(		self    ,_A    ,_A      ):
      '''simple docstring'''

      return self.arr[i][1] < self.arr[j][1]

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Tuple  =    self._left(_A      )
      _lowerCAmelCase       :   str  =    self._right(_A      )
      _lowerCAmelCase       :   Tuple  =    i

      if left is not None and not self._cmp(_A    ,_A      ):
          _lowerCAmelCase       :   int  =    left
      if right is not None and not self._cmp(_A    ,_A      ):
          _lowerCAmelCase       :   Optional[int]  =    right

      return valid_parent

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Any  =    self._parent(_A      )
      while parent is not None and not self._cmp(_A    ,_A      ):
          self._swap(_A    ,_A      )
          _lowerCAmelCase,					_lowerCAmelCase       :   List[str]  =    parent, self._parent(_A      )

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Union[str, Any]  =    self._get_valid_parent(_A      )
      while valid_parent != index:
          self._swap(_A    ,_A      )
          _lowerCAmelCase,					_lowerCAmelCase       :   Optional[int]  =    valid_parent, self._get_valid_parent(_A      )

  def __lowerCamelCase		(		self    ,_A    ,_A      ):
      '''simple docstring'''

      if item not in self.pos_map:
          return
      _lowerCAmelCase       :   int  =    self.pos_map[item]
      _lowerCAmelCase       :   Dict  =    [item, self.key(_A      )]
      # Make sure heap is right in both up and down direction.
      # Ideally only one of them will make any change.
      self._heapify_up(_A      )
      self._heapify_down(_A      )

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      if item not in self.pos_map:
          return
      _lowerCAmelCase       :   List[str]  =    self.pos_map[item]
      del self.pos_map[item]
      _lowerCAmelCase       :   Dict  =    self.arr[self.size - 1]
      _lowerCAmelCase       :   Optional[Any]  =    index
      self.size -= 1
      # Make sure heap is right in both up and down direction. Ideally only one
      # of them will make any change- so no performance loss in calling both.
      if self.size > index:
          self._heapify_up(_A      )
          self._heapify_down(_A      )

  def __lowerCamelCase		(		self    ,_A    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Tuple  =    len(self.arr      )
      if arr_len == self.size:
          self.arr.append([item, self.key(_A      )]      )
      else:
          _lowerCAmelCase       :   Any  =    [item, self.key(_A      )]
      _lowerCAmelCase       :   str  =    self.size
      self.size += 1
      self._heapify_up(self.size - 1      )

  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.arr[0] if self.size else None







  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      _lowerCAmelCase       :   int  =    self.get_top()
      if top_item_tuple:
          self.delete_item(top_item_tuple[0]      )
      return top_item_tuple





def 		lowerCamelCase__		(					):

    '''simple docstring'''





if __name__ == "__main__":
 import doctest

 doctest.testmod()





