"""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 			_snake_case		(     datasets.BuilderConfig			):







				"""simple docstring"""






				a      =    None




class 			_snake_case		(     datasets.ArrowBasedBuilder			):







				"""simple docstring"""






				a      =    PandasConfig





				def 		_lowerCAmelCase		(   self				:				Union[str, Any]):



											"""simple docstring"""







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





				def 		_lowerCAmelCase		(   self				:				Optional[Any]   ,     _A				:				Union[str, Any]):



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





				def 		_lowerCAmelCase		(   self				:				List[Any]   ,     _A				:				Union[str, Any]):



											"""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
																		_SCREAMING_SNAKE_CASE		:    Any      	=     table_cast(__lowerCamelCase   ,     self.config.features.arrow_schema)
											return pa_table





				def 		_lowerCAmelCase		(   self				:				Optional[int]   ,     _A				:				str):



											"""simple docstring"""







											for i, file in enumerate(itertools.chain.from_iterable(__lowerCamelCase)):
																		with open(__lowerCamelCase   ,     """rb""") as f:
																									_SCREAMING_SNAKE_CASE		:    List[str]      	=     pa.Table.from_pandas(pd.read_pickle(__lowerCamelCase))
																									yield i, self._cast_table(__lowerCamelCase)









class        SCREAMING_SNAKE_CASE__					:



 def __init__(				self,__lowerCamelCase					):
        A__		   =		size
        A__		   =		[0] * size
        A__		   =		[0] * size



 @staticmethod
 def 							UpperCamelCase     (				__lowerCamelCase					):
        return index | (index + 1)



 @staticmethod
 def 							UpperCamelCase     (				__lowerCamelCase					):
        return (index & (index + 1)) - 1



 def 							UpperCamelCase     (				self,__lowerCamelCase,__lowerCamelCase					):
        A__		   =		value
        while index < self.size:
               A__		   =		self.get_prev(__lowerCamelCase					) + 1
               if current_left_border == index:
                      A__		   =		value
               else:
                      A__		   =		max(__lowerCamelCase,__lowerCamelCase,__lowerCamelCase					)
               A__		   =		self.get_next(__lowerCamelCase					)




 def 							UpperCamelCase     (				self,__lowerCamelCase,__lowerCamelCase					):
        right -= 1  # Because of right is exclusive
        A__		   =		0
        while left <= right:
               A__		   =		self.get_prev(__lowerCamelCase					)
               if left <= current_left:
                      A__		   =		max(__lowerCamelCase,self.tree[right]					)
                      A__		   =		current_left
               else:
                      A__		   =		max(__lowerCamelCase,self.arr[right]					)
                      right -= 1
        return result


if __name__ == "__main__":
       import doctest

       doctest.testmod()





