PackedArray 的快速列表产品标志?

发布于 2024-10-21 20:02:12 字数 442 浏览 4 评论 0原文

作为我之前的问题的延续,Simon 的方法查找PackedArray 的列表乘积速度很快,但不适用于负值。

这可以通过 Abs 以最小的时间损失来“修复”,但是符号丢失了,所以我需要单独找到产品符号。

我尝试过的最快方法是 EvenQ @ Total @ UnitStep[-lst]

lst = RandomReal[{-2, 2}, 5000000];

Do[
  EvenQ@Total@UnitStep[-lst],
  {30}
] // Timing

Out[]= {3.062, Null}

有更快的方法吗?

As a continuation of my previous question, Simon's method to find the list product of a PackedArray is fast, but it does not work with negative values.

This can be "fixed" by Abs with minimal time penalty, but the sign is lost, so I will need to find the product sign separately.

The fastest method that I tried is EvenQ @ Total @ UnitStep[-lst]

lst = RandomReal[{-2, 2}, 5000000];

Do[
  EvenQ@Total@UnitStep[-lst],
  {30}
] // Timing

Out[]= {3.062, Null}

Is there a faster way?

如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

扫码二维码加入Web技术交流群

发布评论

需要 登录 才能够评论, 你可以免费 注册 一个本站的账号。

评论(2

拥抱我好吗 2024-10-28 20:02:13

有点迟到的帖子:如果您最终对速度感兴趣,使用 C 编译目标的 Compile 似乎比迄今为止发布的最快解决方案快大约两倍(Tally - 基于Sign):

fn = Compile[{{l, _Real, 1}},
  Module[{sumneg = 0},
    Do[If[i < 0, sumneg++], {i, l}];
     EvenQ[sumneg]], CompilationTarget -> "C", 
     RuntimeOptions -> "Speed"]; 

以下是我机器上的计时:

In[85]:= lst = RandomReal[{-2, 2}, 5000000];
s = t = q = {};
Do[AppendTo[s, EvenQ@Total@UnitStep[-lst]], {10}]; // Timing
Do[AppendTo[t, EvenQ[-1 /. Rule @@@ Tally@Sign[lst]]], {10}]; // Timing
Do[AppendTo[q, fn [lst]], {10}]; // Timing
s == t == q

Out[87]= {0.813, Null}

Out[88]= {0.515, Null}

Out[89]= {0.266, Null}

Out[90]= True

A bit late-to-the-party post: if you are ultimately interested in speed, Compile with the C compilation target seems to be about twice faster than the fastest solution posted so far (Tally - Sign based):

fn = Compile[{{l, _Real, 1}},
  Module[{sumneg = 0},
    Do[If[i < 0, sumneg++], {i, l}];
     EvenQ[sumneg]], CompilationTarget -> "C", 
     RuntimeOptions -> "Speed"]; 

Here are the timings on my machine:

In[85]:= lst = RandomReal[{-2, 2}, 5000000];
s = t = q = {};
Do[AppendTo[s, EvenQ@Total@UnitStep[-lst]], {10}]; // Timing
Do[AppendTo[t, EvenQ[-1 /. Rule @@@ Tally@Sign[lst]]], {10}]; // Timing
Do[AppendTo[q, fn [lst]], {10}]; // Timing
s == t == q

Out[87]= {0.813, Null}

Out[88]= {0.515, Null}

Out[89]= {0.266, Null}

Out[90]= True
烟酉 2024-10-28 20:02:12

这比您的解决方案快两倍多,除了使用 Rule@@@ 提取相关术语的废话之外,我发现它更清楚 - 它只是计算每个符号的数字元素。

EvenQ[-1 /. Rule@@@Tally@Sign[lst]]

比较时序(和输出)

In[1]:= lst=RandomReal[{-2,2},5000000];
        s=t={};
        Do[AppendTo[s,EvenQ@Total@UnitStep[-lst]],{10}];//Timing
        Do[AppendTo[t,EvenQ[-1/.Rule@@@Tally@Sign[lst]]],{10}];//Timing
        s==t
Out[3]= {2.11,Null}
Out[4]= {0.96,Null}
Out[5]= True

This is a little over two times faster than your solution and apart from the nonsense of using Rule@@@ to extract the relevant term, I find it more clear - it simply counts the number elements with each sign.

EvenQ[-1 /. Rule@@@Tally@Sign[lst]]

To compare timings (and outputs)

In[1]:= lst=RandomReal[{-2,2},5000000];
        s=t={};
        Do[AppendTo[s,EvenQ@Total@UnitStep[-lst]],{10}];//Timing
        Do[AppendTo[t,EvenQ[-1/.Rule@@@Tally@Sign[lst]]],{10}];//Timing
        s==t
Out[3]= {2.11,Null}
Out[4]= {0.96,Null}
Out[5]= True
~没有更多了~
我们使用 Cookies 和其他技术来定制您的体验包括您的登录状态等。通过阅读我们的 隐私政策 了解更多相关信息。 单击 接受 或继续使用网站,即表示您同意使用 Cookies 和您的相关数据。
原文