Description:

strup 1.0.0

strup - string unpack








This Python package is for unpacking basic objects from a text string.
The standard data types string, int, float and bool are supported.
Goals
A major goal with strup is to provide an intuitive interface.
If the standard string methods
are too low level and the re-module
adds too much complexity to your task, then strup might be your compromise.
Backward compatibility of this API is strongly emphasized.
Usage
We apply the utility function unpack(fmt, text) for extracting
strings, ints, floats and bools from a text string text.
Each character in the string fmt defines the data type for the corresponding object.
>>> from strup import unpack

>>> i, x, s, ok = unpack("ifs?", "5 2.3 ole True")
>>> i, x, s, ok
(5, 2.3, 'ole', True)

Similar syntax is applied in the standard struct
module for handling of binary data. However,
dots in the fmt string indicates that the corresponding item in text should be ignored.
>>> unpack("f..s", " 2.3 ,ole,55, dole", sep=',') # sep as defined in string.split()
(2.3, ' dole')

Strings confined by quotes are supported
>>> unpack("isf", "100 'Donald Duck' 125.6", quote="'")
(100, 'Donald Duck', 125.6)

Zero-sized string might be interpreted as None objects.
>>> unpack("fissi", "2.3,,, ,12", sep=',', none=True)
(2.3, None, None, ' ', 12)

In loops you may benefit from splitting the grammar and the actual decoding using the class Unpack:
>>> from strup import Unpack

>>> mydecode = Unpack('.s..f', quote='"') # Preprocess the pattern
>>> for line in ['5.3 "Donald Duck" 2 yes 5.4',
'-2.2 "Uncle Sam" 4 no 1.5',
'3.3 "Clint Eastwood" 7 yes 6.5']:
... mydecode(line)
("Donald Duck", 5.4)
("Uncle Sam", 1.5)
("Clint Eastwood", 6.5)

Documentation
Complete documentation and more examples are hosted
on ReadTheDocs.
Source code
The source code for this package is located on GitHub.
Installation
To install strup from PyPI:
pip install strup # For end users
pip install -e .[dev] # For package development (from the root of your strup Git repo)

or Anaconda:
conda install -c jeblohe strup

strup is continuously tested on Python 2.7, 3.4 and above.
License
This software is licensed open-source under the MIT License.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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