Return Negative

本文深入探讨了如何将正整数转换为负数的算法实现,并提供了三种不同的方法来解决这个问题,包括直接取负、使用绝对值函数和条件表达式。详细解释了每个方法的工作原理和代码实现。

Return Negative

In this simple assignment you are given a number and have to make it negative. But maybe the number is already negative?

Example:

Kata.MakeNegative(1); // return -1
Kata.MakeNegative(-5); // return -5
Kata.MakeNegative(0); // return 0

Notes:

  • The number can be negative already, in which case no change is required.
  • Zero (0) can't be negative, see examples above.

 

using System;

public static class Kata
{
  public static int MakeNegative(int number)
  {
    if(number > 0)
    {
        return -number;
    }
    else if(number < 0)
    {
        return number;
    }
    else
    {
        return 0;
    }
  }
}

 

其他解法:使用绝对值函数或者问号表达式

using System;

public static class Kata
{
  public static int MakeNegative(int number)
  {
    return -Math.Abs(number);
  }
}
using System;

public static class Kata
{
  public static int MakeNegative(int number)
  {
    return number > 0 ? -number : number;
  }
}

 

转载于:https://www.cnblogs.com/chucklu/p/4596898.html

--------------------------------------------------------------------------- KeyError Traceback (most recent call last) File ~\anaconda3\Lib\site-packages\pandas\core\indexes\base.py:3791, in Index.get_loc(self, key) 3790 try: -> 3791 return self._engine.get_loc(casted_key) 3792 except KeyError as err: File index.pyx:152, in pandas._libs.index.IndexEngine.get_loc() File index.pyx:181, in pandas._libs.index.IndexEngine.get_loc() File pandas\_libs\hashtable_class_helper.pxi:7080, in pandas._libs.hashtable.PyObjectHashTable.get_item() File pandas\_libs\hashtable_class_helper.pxi:7088, in pandas._libs.hashtable.PyObjectHashTable.get_item() KeyError: 'date' The above exception was the direct cause of the following exception: KeyError Traceback (most recent call last) Cell In[5], line 409 406 print("训练流程完成!") 408 if __name__ == "__main__": --> 409 main() Cell In[5], line 326, in main() 323 positive_samples['label'] = 1 325 # 负样本采样 --> 326 negative_samples = vectorized_negative_sampling( 327 hist_exposure, positive_samples, sample_ratio=0.05 328 ) 330 # 合并数据集 331 click_data = pd.concat([positive_samples, negative_samples], ignore_index=True) Cell In[5], line 130, in vectorized_negative_sampling(exposure, positive_set, sample_ratio) 127 negative_samples['label'] = 0 129 # 添加时间信息(使用最近曝光时间) --> 130 negative_samples['date'] = exposure['date'].max() 132 return negative_samples File ~\anaconda3\Lib\site-packages\pandas\core\frame.py:3893, in DataFrame.__getitem__(self, key) 3891 if self.columns.nlevels > 1: 3892 return self._getitem_multilevel(key) -> 3893 indexer = self.columns.get_loc(key) 3894 if is_integer(indexer): 3895 indexer = [indexer] File ~\anaconda3\Lib\site-packages\pandas\core\indexes\base.py:3798, in Index.get_loc(self, key) 3793 if isinstance(casted_key, slice) or ( 3794 isinstance(casted_key, abc.Iterable) 3795 and any(isinstance(x, slice) for x in casted_key) 3796 ): 3797 raise InvalidIndexError(key) -> 3798 raise KeyError(key) from err 3799 except TypeError: 3800 # If we have a listlike key, _check_indexing_error will raise 3801 # InvalidIndexError. Otherwise we fall through and re-raise 3802 # the TypeError. 3803 self._check_indexing_error(key) KeyError: 'date'
07-13
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