大约有 740 项符合查询结果（耗时：0.0107秒） [XML]
Get DateTime.Now with milliseconds precision
...
DateTime dateTimeInMilliseconds = dateTime.AddTicks(-1 * dateTime.Ticks % 10000);
This will cut off ticks smaller than 1 millisecond.
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How do I immediately execute an anonymous function in PHP?
... $x = 123;
}
);
}
), 10000);
?>
Results:
$ php test8.php
test1_anonfunc_call took 0.0081379413604736s (1228812.0001172/s)
test2_anonfunc_call_user_func took 0.011472940444946s (871616.13432805/s)
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How to zero pad a sequence of integers in bash so that all have the same width?
...length of padding (for example, if you want 5 digits and command is "seq 1 10000"), than you can use "-w" flag for seq - it adds padding itself.
seq -w 1 10
produce
01
02
03
04
05
06
07
08
09
10
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Algorithm to get the excel-like column name of a number
... } else {
return $letter;
}
}
Tested with numbers from 0 to 10000...
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Get time in milliseconds using C#
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But the resolution of Ticks is very less than 1/10000s, maybe 1/62s
– codymanix
Oct 25 '10 at 16:11
2
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How to increase timeout for a single test case in mocha
... NodeJS then you can set timeout in package.json
"test": "mocha --timeout 10000"
then you can run using npm like:
npm test
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Sass Variable in CSS calc() function
...or {
position: absolute;
width: 50%;
height: 50%;
z-index: 10000;
transform-origin: 100% 100%;
}
$sector_count: 8;
$sector_width: 360deg / $sector_count;
.sec0 {
transform: rotate(0 * $sector_width) skew($sector_width);
background-color: red; }
.sec1 {
transform: ...
nodejs how to read keystrokes from stdin
...]');
}
});
require('tty').setRawMode(true);
setTimeout(process.exit, 10000);
if you run it and:
<--type '1'
{1}
<--type 'a'
{1}[a]
Important code #1:
require('tty').setRawMode( true );
Important code #2:
.createInterface( process.stdin, {} );
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How to create a numpy array of all True or all False?
...l and np.ones version.
Answer: No
import timeit
n_array, n_test = 1000, 10000
setup = f"import numpy as np; n = {n_array};"
print(f"np.ones: {timeit.timeit('np.ones((n, n), dtype=bool)', number=n_test, setup=setup)}s")
print(f"np.full: {timeit.timeit('np.full((n, n), True)', number=n_test, setup...
Sorting arrays in NumPy by column
...00 loops, best of 3: 1.88 ms per loop
%timeit table[table[:,9].argsort()]
10000 loops, best of 3: 180 µs per loop
import pandas as pd
df = pd.DataFrame(table)
%timeit df.sort_values(9, ascending=True)
1000 loops, best of 3: 400 µs per loop
So, it looks like indexing with argsort is the quickes...