- html - When to use lt;span gt; instead lt;p gt;? - Stack Overflow
The <p> tag is a p aragraph, and as such, it is a block element (as is, for instance, h1 and div), whereas span is an inline element (as, for instance, b and a) Block elements by default create some whitespace above and below themselves, and nothing can be aligned next to them, unless you set a float attribute to them Inline elements deal with spans of text inside a paragraph They typically
- What is the difference between TEST, TEST_F and TEST_P?
The TEST_P macro is followed by a set of parameters that are passed to the test case In summary, TEST is for standalone test cases, TEST_F is for test cases with fixtures, and TEST_P is for test cases with parameters The choice of which macro to use depends on the specific testing needs and requirements of your project
- c++ - What does (~0L) mean? - Stack Overflow
I'm doing some X11 ctypes coding, I don't know C but need some help understanding this In the C code below (might be C++ im not sure) we see (~0L) what does that mean? In Javascript and Python ~0
- 2K，4K的屏幕分辨率到底是多少？ - 知乎
271 赞同 12 评论 512 收藏 首先，2K 和 4K 概念本来是电影的标准 电影规范DCI里面定义到， 2048×1080（2K） , 4096×2160（4K）
- html - What do lt;o:p gt; elements do anyway? - Stack Overflow
What do <o:p> elements do anyway? Asked 13 years, 9 months ago Modified 1 year ago Viewed 148k times
- pixiv (p站)2021年如何上？ - 知乎
pixiv是一个以插图、漫画和小说、艺术为中心的社交网络服务里的虚拟社区网站。聚集了众多来自日本、中国、韩国、美国等国家的优秀艺术家，他们在Pixiv相互交流，分享优秀高清插画。编辑们从 P 站挖掘新人画师，画师们则是通过 P 站展示自我作品群集人气为自己带来商业出道的机遇。 全球网站
- c - why is *pp [0] equal to **pp - Stack Overflow
So pp [0] points to the address of p, which is 0x2000, and by dereferencing I would expect to get the contents of address 0x2000 That's were your reasoning strays, but understandably so In C, the right hand side of an assignment, or generally an evaluation of an lvalue (vulgo: variable), more precisely an lvalue-to-rvalue conversion, is already a dereferencing! For example, int i, j=0; i=j
- Find p-value (significance) in scikit-learn LinearRegression
How can I find the p-value (significance) of each coefficient? lm = sklearn linear_model LinearRegression() lm fit(x,y)
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