bitarray efficient arrays of booleans -- C extension
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Python Python module arrays booleans arrays array of booleans booleans

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efficient arrays of booleans -- C extension bitarray is a Python module that provides an object type which efficiently represents an array of booleans. Bitarrays are sequence types and behave very much like usual lists. Eight bits are represented by one byte in contiguous block of memory. The user can select between two representations; little-endian and big-endian. Most of the functionality is implemented in C. Methods for accessing the machine representation are provided. This can be useful when bit level access to binary files is required, such as portable bitmap image files (.pbm). Also, when dealing with compressed data which uses variable bit length encoding, you may find this module useful.Installation:bitarray can be installed from source:$ tar xzf bitarray-0.3.3.tar.gz$ cd bitarray-0.3.3$ python setup.py installOn Unix systems, the latter command may have to be executed with root privileges. If you have setuptools installed, you can easy_install bitarray. Once you have installed the package, you may want to test it:$ python -c 'import bitarray; bitarray.test()'bitarray is installed in: /usr/local/lib/python2.5/site-packages/bitarraybitarray version: 0.3.32.5.2 (r252:60911, Jul 17 2008, 10:38:24)...................................................................................----------------------------------------------------------------------Ran 90 tests in 2.420sOKYou can always import the function test, and test().wasSuccessful() will return True when the test went OK. Here are some key features of "bitarray": · On 32bit machines, a bitarray object can contain up to 2^34 elements, that is 16 Gbits (on 64bit machines up to 2^63 elements in theory). · All functionality implemented in C. · Bitarray objects behave very much like a list object, in particular slicing (including slice assignment and deletion) is supported. · The bit endianness can be specified for each bitarray object, see below. · Packing and unpacking to other binary data formats, e.g. numpy.ndarray, is possible. · Fast methods for encoding and decoding variable bit length prefix codes · Sequential search · Bitwise operations: &, |, ^, &=, |=, ^=, ~ · Pickling and unpickling of bitarray objects possible. Requirements: · Python

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