Patch datetime to use a much quicker strptime implementation.
This ONLY improves strptime when the format string uses padded directives.
This is the list of supported directives (by far the most common):
SUPPORTED_DIRECTIVES = ('%d', '%m', '%Y', '%H', '%M', '%S', '%f')
Check if your date/time format is supported by calling:
datetime.supported_strptime(format_string) # True if supported, False otherwise
On average, 4 times quicker than the stdlib version, and 50 times as quick when using pypy!
Usage:
# insert this one line
from monkeytime import datetime
# Done migrating code to monkeytime!
from datetime import datetime
# Call it once with the specific format string
# It will build a new function to quickly parse the string, then run it on
# the string you passed it.
dt = datetime.strptime('2014-05-30T12:14:15.123456', '%Y-%m-%dT%H:%M:%S.%f')
# Now, whenever you use that format again, it will use the function it
# built already! All constructed functions are memoized.
# Since we usually only use one or two formats in our code to parse logs
# and such, the performance of constructing it is negligible.
All you need is that one line “from monkeytime import datetime”, and your strptime performance will increase dramatically.
Make sure it is ABOVE your “from datetime import datetime” import line!
Metadata
Release files for monkeytime 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| monkeytime-0.1.2.tar.gz | 3.7 kB | Details |
Release files / monkeytime-0.1.2.tar.gz
| Download URL | monkeytime-0.1.2.tar.gz |
|---|---|
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