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Regex to validate password strength
...itive look ahead assertions:
^(?=.*[A-Z].*[A-Z])(?=.*[!@#$&*])(?=.*[0-9].*[0-9])(?=.*[a-z].*[a-z].*[a-z]).{8}$
Rubular link
Explanation:
^ Start anchor
(?=.*[A-Z].*[A-Z]) Ensure string has two uppercase letters.
(?=.*[!@#$&*]) Ensure string ha...
Why does Lua have no “continue” statement?
...Lua 5.2 the best workaround is to use goto:
-- prints odd numbers in [|1,10|]
for i=1,10 do
if i % 2 == 0 then goto continue end
print(i)
::continue::
end
This is supported in LuaJIT since version 2.0.1
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How to define different dependencies for different product flavors
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190
To define a flavor specific dependency you can use proCompile instead of compile in your depende...
What do the different readystates in XMLHttpRequest mean, and how can I use them?
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The full list of readyState values is:
State Description
0 The request is not initialized
1 The request has been set up
2 The request has been sent
3 The request is in process
4 The request is complete
(from https://www.w3schools.com/js/js_ajax_http_respo...
How to reshape data from long to wide format
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answered May 4 '11 at 23:20
ChaseChase
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How do I achieve the theoretical maximum of 4 FLOPs per cycle?
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+150
I've done this exact task before. But it was mainly to measure power consumption and CPU temperatures. The following code (which is fa...
php中json_decode()和json_encode()的使用方法 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...de()和json_encode()的使用方法1.json_decode()json_decode(PHP 5 >= 5.2.0, PECL json >= 1.2.0)json_decode — 对 JSON 格式的字符串进行编码说明mixed jso...1.json_decode()
(PHP 5 >= 5.2.0, PECL json >= 1.2.0)
对 JSON 格式的字符串进行编码
说明：
mixed json_decode ...
Can I change the viewport meta tag in mobile safari on the fly?
...]");
viewport.setAttribute('content', 'width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0');
Just change the parts you need and Mobile Safari will respect the new settings.
Update:
If you don't already have the meta viewport tag in the source, you can append it directly wi...
Compare two DataFrames and output their differences side-by-side
... rows are empty*:
In [21]: ne = (df1 != df2).any(1)
In [22]: ne
Out[22]:
0 False
1 True
2 True
dtype: bool
Then we can see which entries have changed:
In [23]: ne_stacked = (df1 != df2).stack()
In [24]: changed = ne_stacked[ne_stacked]
In [25]: changed.index.names = ['id', 'col']
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Find element's index in pandas Series
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