

'''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 	lowerCAmelCase  (   datasets.BuilderConfig ):
       lowerCAmelCase_												=			None






class 	lowerCAmelCase  (   datasets.ArrowBasedBuilder ):
       lowerCAmelCase_												=			PandasConfig







       def       snake_case (				self      :			Any   ):







            """simple docstring"""







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







       def       snake_case (				self      :			str    ,   __lowercase      :			List[str]   ):







            """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}'''   )
            __lowercase      		=dl_manager.download_and_extract(self.config.data_files   )
            if isinstance(__lowercase    ,   (str, list, tuple)   ):
                 __lowercase      		=data_files
                 if isinstance(__lowercase    ,   __lowercase   ):
                      __lowercase      		=[files]
                 # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
                 __lowercase      		=[dl_manager.iter_files(__lowercase   ) for file in files]
                 return [datasets.SplitGenerator(name=datasets.Split.TRAIN    ,   gen_kwargs={'files': files}   )]
            __lowercase      		=[]
            for split_name, files in data_files.items():
                 if isinstance(__lowercase    ,   __lowercase   ):
                      __lowercase      		=[files]
                 # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
                 __lowercase      		=[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      :			List[str]    ,   __lowercase      :			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
                 __lowercase      		=table_cast(__lowercase    ,   self.config.features.arrow_schema   )
            return pa_table







       def       snake_case (				self      :			Any    ,   __lowercase      :			Tuple   ):







            """simple docstring"""







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





'''simple docstring'''

def 					__UpperCamelCase				(						lowercase__    :	List[str],       lowercase__    :	Tuple			):






     '''simple docstring'''





     __lowercase      		=[0 for i in range(r + 1			)]
     # nc0 = 1
     __lowercase      		=1
     for i in range(1,       n + 1			):
          # to compute current row from previous row.
          __lowercase      		=min(lowercase__,       lowercase__			)
          while j > 0:
               c[j] += c[j - 1]
               j -= 1
     return c[r]







print(binomial_coefficient(n=10, r=5))


