A memory-efficient packed representation for bit arrays in pure Python
Project description
Consult the module API page at
https://engineering.purdue.edu/kak/dist/BitVector-3.4.6.html
for all information related to this module, including information regarding the latest changes to the code. The page at the URL shown above lists all of the module functionality you can invoke in your own code.
With regard to the basic purpose of the module, it defines the BitVector class as a memory-efficient packed representation for bit arrays. The class comes with a large number of methods for using the representation in diverse applications such as computer security, computer vision, etc.
Version 3.4.6 fixes what was hopefully the last remaining bug in using negative index values for slice assignments.
Version 3.4.5 fixes an important bug in the slice assignment code. The bug made itself evident when using negative start/stop values for slice assignment. This version also include a new method named min_canonical() that returns a canonical form of a bit pattern, which is a circularly shifted form of a bit pattern that has the maximum number of leading zeros. This method is useful in the “Local Binary Pattern” algorithm for characterizing image textures.
The class is provided with the following operators/methods:
__getitem__
__setitem__
__len__
__iter__
__contains__
__str__
__int__
__add__
__eq__, __ne__, __lt__, __le__, __gt__, __ge__
__or__
__and__
__xor__
__invert__
__lshift__
__rshift__
__add__
close_file_object
count_bits
count_bits_sparse (faster for sparse bit vectors)
deep_copy
divide_into_two
gcd (for greatest common divisor)
gen_random_bits
get_bitvector_in_ascii
get_bitvector_in_hex
gf_divide_by_modulus (for modular divisions in GF(2^n))
gf_MI (for multiplicative inverse in GF(2^n))
gf_multiply (for multiplications in GF(2))
gf_multiply_modular (for multiplications in GF(2^n))
hamming_distance
int_val (for returning the integer value)
is_power_of_2
is_power_of_2_sparse (faster for sparse bit vectors)
jaccard_distance
jaccard_similarity
length
min_canonical
multiplicative_inverse
next_set_bit
pad_from_left
pad_from_right
permute
rank_of_bit_set_at_index
read_bits_from_file
reset
reverse
runs
set_value
shift_left (for non-circular left shift)
shift_right (for non-circular right shift)
test_for_primality
unpermute
write_to_file
write_bits_to_fileobject
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