This module provides an object type which can efficiently represent a bitarray. Bitarrays are sequence types and behave very much like usual lists. Each bit is represented as an actual bit in memory. For example, this allows the storage of 8Gbits in 1GB of memory. Most of the functionallity is implemented in C, for speed.
Requires Python 2.5 or greater, see PEP 353.
bitarray can be installed from source:
$ tar xzf bitarray-0.2.0.tar.gz $ cd bitarray-0.2.0 $ python setup.py install
On Unix systems, the latter command may be executed with root privileges.
If you have setuptools installed on your system, you can easy_install bitarray.
Once you have installed the package, you may want to test it:
$ python -c 'from bitarray import test; test()' bitarray is insalled in: /usr/local/lib/python2.5/site-packages/bitarray bitarray version: 0.2.0 2.5.2 (r252:60911, Jul 17 2008, 10:38:24) [GCC 4.2.1 (SUSE Linux)] .................................... ---------------------------------------------------------------------- Ran 36 tests in 0.294s OK
In fact, one can always import the function test which in addition to printing the test, also returns an instance of unittest._TextTestResult; for example test().wasSuccessful() will return True when the test went OK.
Here are a few usage example, pointing out some differences to lists.
>>> from bitarray import bitarray >>> a = bitarray() # create empty bitarray >>> a.append(True) >>> a.extend([False, True]) >>> a bitarray('101') >>> a[-1] True >>> del a[1] >>> len(a) 2
Creating objects:
>>> a = bitarray(1024) # bitarray of length 1024 (uninitialized) >>> bitarray('1001011') # from string bitarray('1001011') >>> lst = [True, False, False, True, False, True, True] >>> bitarray(lst) # from list, tuple, sequence, iterable bitarray('1001011')
Bits can be assigned from any Python object. Whenever bits are assigned, the built-in bool() function is used to determine the value of the bit. (Actually the C equivalent of bool() is used.)
>>> a = bitarray([42, '', True, {}, 'foo', None]) >>> a bitarray('101010') >>> a.append(a) # note that bool(a) is True >>> a bitarray('1010101') >>> a.count(42) # counts occurrences of True 4L >>> a.remove('') # removes first occurence of False >>> a bitarray('110101')
Like lists, bitarray objects support slice assignment and deletion:
>>> a = bitarray(50) >>> a.setall(False) >>> a[11:37:3] = 9*bitarray([True]) >>> a bitarray('00000000000100100100100100100100100100000000000000') >>> del a[12::3] >>> a bitarray('0000000000010101010101010101000000000') >>> a[-6:] = bitarray('10011') >>> a bitarray('000000000001010101010101010100010011') >>> a += bitarray('000111') >>> a bitarray('000000000001010101010101010100010011000111')
Since a bitarray allows addressing of individual bits, where the machine represents 8 bits in one byte, there two obvious choices for this mapping; little- and big-endian. When creating a new bitarray object, the endianness can always be specified explicitly:
>>> a = bitarray(endian='little') >>> a.fromstring('A') >>> a bitarray('10000010') >>> b = bitarray('11000010', endian='little') >>> b.tostring() 'C'
Here the low-bit comes first because little-endian means that increasing numeric significance corresponds to an increasing address (or index). So a[0] is the lowest and least significant bit, and a[7] is the highest and most significant bit.
>>> a = bitarray(endian='big') >>> a.fromstring('A') >>> a bitarray('01000001') >>> a[6] = 1 >>> a.tostring() 'C'
Here the high-bit comes first because big-endian means "most-significant first". So a[0] is now the lowest and most significant bit, and a[7] is the highest and least significant bit.
The bit endianness is a property attachet to each bitarray object. When comparing bitarray objects, the endianness (and hence the machine representation) is irrelevant; what matters is the mapping from indicies to bits:
>>> bitarray('11001', endian='big') == bitarray('11001', endian='little') True
When converting to and from machine representation, using the tostring, fromstring, tofile and fromfile methods, the endianness matters:
>>> a = bitarray(endian='little') >>> a.fromstring('\x01') >>> a bitarray('10000000') >>> b = bitarray(endian='big') >>> b.fromstring('\x80') >>> a == b True >>> a.tostring() == b.tostring() False
The endianness can not be changed once an object is created. However, since creating a bitarray from another bitarray just copies the memory representing the data, you can create a new bitarray with different endianness:
>>> a = bitarray('11100000', endian='little') >>> b = bitarray(a, endian='big') >>> b bitarray('00000111') >>> a == b False >>> a.tostring() == b.tostring() True
The default bit endianness is currently big-endian, however this may change in the future, and when dealing with the machine represention of bitarray objects, it is recommanded to always explicitly specifiy the endianness.
Unless, excplicity converting to machine representation, using the tostring, fromstring, tofile and fromfile methods, the bit endianness will have no effect on any computation, and you don't have to worry about setting the endianness, and other (possibly confusing) details of this section.
A bitarray object has the following methods: