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How do I write a correct micro-benchmark in Java?
How do you write (and run) a correct micro-benchmark in Java?
11 Answers
11
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Delete all records in a table of MYSQL in phpMyAdmin
...ampserver 2.2. When I want to delete all records of a table in phpMyAdmin (select all) it deletes only one record not all records. Why it does not delete all records?
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How to apply two CSS classes to a single element
...To target elements that contain all of the specified classes, use this CSS selector (no space) (ref):
.c1.c2 {
}
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I want to copy table contained from one database and insert onto another database table
...as below.
CREATE TABLE db2.table LIKE db1.table;
INSERT INTO db2.table SELECT * FROM db1.table;
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How to get the raw value an field?
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Spudly has a useful answer that he deleted:
Just use the CSS :invalid selector for this.
input[type=number]:invalid {
background-color: #FFCCCC;
}
This will trigger your element to turn red whenever a non-numeric
valid is entered.
Browser support for <input type='number'>...
Parallel.ForEach() vs. foreach(IEnumerable.AsParallel())
...the AsParallel() call, like:
var fibonacciNumbers = numbers.AsParallel().Select(n => ComputeFibonacci(n));
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What Xcode keyboard shortcuts do you use regularly? [closed]
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Uncommenting only does not work when your selection contains one or more lines that are not already commented.
– DarkByte
Jun 19 '14 at 8:03
a...
Pandas conditional creation of a series/dataframe column
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If you only have two choices to select from:
df['color'] = np.where(df['Set']=='Z', 'green', 'red')
For example,
import pandas as pd
import numpy as np
df = pd.DataFrame({'Type':list('ABBC'), 'Set':list('ZZXY')})
df['color'] = np.where(df['Set']=='Z', ...
Where is Vagrant saving changes to the VM?
I am just starting with Vagrant and I am having a little trouble understanding a few details. I have read through the docs but still am missing a basic concept. When I want to start a Vagrant box I run:
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How to export DataTable to Excel
...tring[] columnNames = dataTable.Columns
.Cast<DataColumn>()
.Select(column => column.ColumnName)
.ToArray();
var header = string.Join(",", columnNames.Select(name => $"\"{name}\""));
lines.Add(header);
var valueLines = dataTable.AsEnumerable()
.Select(row => string.J...