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Checking that a List is not empty in Hamcrest
...rs class. Note the need to cast the list to Collection, thanks to Hamcrest 1.2's wonky generics.
The following imports can be used with hamcrest 1.3
import static org.hamcrest.Matchers.empty;
import static org.hamcrest.core.Is.is;
import static org.hamcrest.core.IsNot.*;
...
How to trigger ngClick programmatically
...hat version of angular are you using. triggerHandler seems to work fine in 1.2.1: jsfiddle.net/t34z7
– Blago
Jul 18 '14 at 18:12
...
Could not locate Gemfile
...ubis (2.7.0)
Using journey (1.0.4)
Using rack (1.4.1)
Using rack-cache (1.2)
Using rack-test (0.6.1)
Using hike (1.2.1)
Using tilt (1.3.3)
Using sprockets (2.2.1)
Using actionpack (3.2.11)
Using mime-types (1.19)
Using polyglot (0.3.3)
Using treetop (1.4.10)
Using mail (2.4.4)
Using act...
java.lang.UnsupportedClassVersionError Unsupported major.minor version 51.0 [duplicate]
... = 51,
Java SE 6.0 = 50,
Java SE 5.0 = 49,
JDK 1.4 = 48,
JDK 1.3 = 47,
JDK 1.2 = 46,
JDK 1.1 = 45
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#define macro for debug printing in C?
...hether for release or debugging. This is a good thing!
debug.h - version 1.2 (1990-05-01)
/*
@(#)File: $RCSfile: debug.h,v $
@(#)Version: $Revision: 1.2 $
@(#)Last changed: $Date: 1990/05/01 12:55:39 $
@(#)Purpose: Definitions for the debugging system
@(#)Author: ...
How to make type=“number” to positive numbers only
... min="1" step="1" still allows me to type floating numbers like 1.2 How can I force integer only ?
– Sam
Jul 6 '16 at 10:10
...
开源跳板机(堡垒机)Jumpserver v2.0.0 使用说明 - 开源 & Github - 清泛网 ...
...门和部门管理员
1.1 添加部门
用户管理 -- 添加部门
1.2 添加部门管理员用户
用户管理 -- 添加用户
用户的web登录密码，ssh密钥密码等以邮件发送给所填写的邮箱
查看添加后的用户
1.3 添加普通用户
用户管理 -- 添加用...
How to print a float with 2 decimal places in Java?
...
double d = 1.234567;
DecimalFormat df = new DecimalFormat("#.##");
System.out.print(df.format(d));
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How to sort a list of strings numerically?
...hall be handled in case of float values? Eg., list1 = [1, 1.10, 1.11, 1.1, 1.2]
– sathish
May 19 '16 at 9:01
...
Add single element to array in numpy
...end:
b = np.array([0])
for k in range(int(10e4)):
b = np.append(b, k)
1.2 s ± 16.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
Using python list converting to array afterward:
d = [0]
for k in range(int(10e4)):
d.append(k)
f = np.array(d)
13.5 ms ± 277 µs per loop (mean ± ...