"""simple docstring"""






import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD



def SCREAMING_SNAKE_CASE__			(   __UpperCAmelCase )  ->  List[Any]:
   def wrapper(*__UpperCAmelCase       ,    **__UpperCAmelCase ):
      lowercase__:   Any					=      timeit.default_timer()
      lowercase__:   int					=      func(*__UpperCAmelCase       ,    **__UpperCAmelCase )
      lowercase__:   Any					=      timeit.default_timer() - starttime
      return delta

   lowercase__:   Dict					=      func.__name__

   return wrapper



def SCREAMING_SNAKE_CASE__			(   __UpperCAmelCase       ,    __UpperCAmelCase=1_0_0       ,    __UpperCAmelCase=None )  ->  List[Any]:
   lowercase__:   Optional[Any]					=      []
   lowercase__:   Any					=      seq_shapes or {}
   for i in range(__UpperCAmelCase ):
      lowercase__:   Any					=      {}
      for col_id, (k, v) in enumerate(features.items() ):
         if isinstance(__UpperCAmelCase       ,    _ArrayXD ):
            lowercase__:   Dict					=      np.random.rand(*v.shape ).astype(v.dtype )
         elif isinstance(__UpperCAmelCase       ,    datasets.Value ):
            if v.dtype == "string":
               lowercase__:   Any					=      '''The small grey turtle was surprisingly fast when challenged.'''
            else:
               lowercase__:   Optional[Any]					=      np.random.randint(1_0       ,    size=1 ).astype(v.dtype ).item()
         elif isinstance(__UpperCAmelCase       ,    datasets.Sequence ):
            while isinstance(__UpperCAmelCase       ,    datasets.Sequence ):
               lowercase__:   Optional[int]					=      v.feature
            lowercase__:   Any					=      seq_shapes[k]
            lowercase__:   List[str]					=      np.random.rand(*__UpperCAmelCase ).astype(v.dtype )
         lowercase__:   Union[str, Any]					=      data

      dummy_data.append((i, example) )

   return dummy_data




def SCREAMING_SNAKE_CASE__			(   __UpperCAmelCase       ,    __UpperCAmelCase       ,    __UpperCAmelCase=1_0_0       ,    __UpperCAmelCase=None )  ->  List[str]:
   lowercase__:   Any					=      generate_examples(__UpperCAmelCase       ,    num_examples=__UpperCAmelCase       ,    seq_shapes=__UpperCAmelCase )

   with ArrowWriter(features=__UpperCAmelCase       ,    path=__UpperCAmelCase ) as writer:
      for key, record in dummy_data:
         lowercase__:   int					=      features.encode_example(__UpperCAmelCase )
         writer.write(__UpperCAmelCase )

      lowercase__, lowercase__:   Any					=      writer.finalize()

   if not num_final_examples == num_examples:
      raise ValueError(
          F"""Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}.""" )

   lowercase__:   int					=      datasets.Dataset.from_file(filename=__UpperCAmelCase       ,    info=datasets.DatasetInfo(features=__UpperCAmelCase ) )

   return dataset

"""simple docstring"""






from __future__ import annotations

from math import pi, sqrt



def SCREAMING_SNAKE_CASE__			(   __UpperCAmelCase       ,    __UpperCAmelCase )  ->  tuple:

   if inductance <= 0:
      raise ValueError('''Inductance cannot be 0 or negative''' )

   elif capacitance <= 0:
      raise ValueError('''Capacitance cannot be 0 or negative''' )

   else:
      return (
          "Resonant frequency",
          float(1 / (2 * pi * (sqrt(inductance * capacitance ))) ),
      )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
