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How do I build a numpy array from a generator?
...erate(gimme()): my_array[i] = el
1 is probably what you're looking for. 2 is space inefficient, and 3 is time inefficient (you have to go through the generator twice).
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AngularJS changes URLs to “unsafe:” in extension page
.../^\s*(https?|ftp|mailto|chrome-extension):/);
// Angular before v1.2 uses $compileProvider.urlSanitizationWhitelist(...)
}
]);
The same procedure also applies when you need to use protocols such as file: and tel:.
Please see the AngularJS $compileProvider API documentation for more in...
What is the maximum number of characters that nvarchar(MAX) will hold?
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Max. capacity is 2 gigabytes of space - so you're looking at just over 1 billion 2-byte characters that will fit into a NVARCHAR(MAX) field.
Using the other answer's more detailed numbers, you should be able to store
(2 ^ 31 - 1 - 2) / 2 = ...
How can I extract a good quality JPEG image from a video file with ffmpeg?
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2 Answers
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Can you 'exit' a loop in PHP?
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213
You are looking for the break statement.
$arr = array('one', 'two', 'three', 'four', 'stop', ...
Why is a round-trip conversion via a string not safe for a double?
... *dst = 0;
}
}
It turns out that _ecvt returns the string 845512408225570.
Notice the trailing zero? It turns out that makes all the difference!
When the zero is present, the result actually parses back to 0.84551240822557006, which is your original number -- so it compares equal, and h...
How do I browse an old revision of a Subversion repository through the web view?
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edited Jun 20 at 9:12
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answered Mar 16 '09 at 17:14
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To find whether a column exists in data frame or not
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202
Assuming that the name of your data frame is dat and that your column name to check is "d", yo...
How can I convert immutable.Map to mutable.Map in Scala?
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128
The cleanest way would be to use the mutable.Map varargs factory. Unlike the ++ approach, this...
Plot logarithmic axes with matplotlib in python
... = [pow(10, i) for i in range(10)]
fig = plt.figure()
ax = fig.add_subplot(2, 1, 1)
line, = ax.plot(a, color='blue', lw=2)
ax.set_yscale('log')
pylab.show()
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