

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 			A						(							datasets.BuilderConfig			):







    """simple docstring"""





    lowerCamelCase		     =							None




class 			A						(							datasets.ArrowBasedBuilder			):







    """simple docstring"""





    lowerCamelCase		     =							PandasConfig


    def 						snake_case__					(				self			:	int		)->   str:





        '''simple docstring'''







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


    def 						snake_case__					(				self			:	Union[str, Any],lowercase_			:	Union[str, Any]		)->   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}'		)
        A__   				=       dl_manager.download_and_extract(self.config.data_files		)
        if isinstance(lowercase_,(str, list, tuple)		):
            A__   				=       data_files
            if isinstance(lowercase_,lowercase_		):
                A__   				=       [files]
            # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
            A__   				=       [dl_manager.iter_files(lowercase_		) for file in files]
            return [datasets.SplitGenerator(name=datasets.Split.TRAIN,gen_kwargs={'files': files}		)]
        A__   				=       []
        for split_name, files in data_files.items():
            if isinstance(lowercase_,lowercase_		):
                A__   				=       [files]
            # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
            A__   				=       [dl_manager.iter_files(lowercase_		) for file in files]
            splits.append(datasets.SplitGenerator(name=lowercase_,gen_kwargs={'files': files}		)		)
        return splits


    def 						snake_case__					(				self			:	int,lowercase_			:	pa.Table		)->   pa.Table:





        '''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
            A__   				=       table_cast(lowercase_,self.config.features.arrow_schema		)
        return pa_table


    def 						snake_case__					(				self			:	Optional[Any],lowercase_			:	List[str]		)->   str:





        '''simple docstring'''







        for i, file in enumerate(itertools.chain.from_iterable(lowercase_		)		):
            with open(lowercase_,'rb'		) as f:
                A__   				=       pa.Table.from_pandas(pd.read_pickle(lowercase_		)		)
                yield i, self._cast_table(lowercase_		)




from __future__ import annotations

from typing import Any
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list				)							->				int:





    '''simple docstring'''






    if not postfix_notation:
        return 0

    A__   				=       {'+', '-', '*', '/'}
    A__   				=       []

    for token in postfix_notation:
        if token in operations:
            A__				,						A__   				=       stack.pop(), stack.pop()
            if token == "+":
                stack.append(a + b				)
            elif token == "-":
                stack.append(a - b				)
            elif token == "*":
                stack.append(a * b				)
            else:
                if a * b < 0 and a % b != 0:
                    stack.append(a // b + 1				)
                else:
                    stack.append(a // b				)
        else:
            stack.append(int(SCREAMING_SNAKE_CASE__				)				)

    return stack.pop()


if __name__ == "__main__":
     import doctest

     doctest.testmod()

