CNF hashing implemented in python3
|Date:||August 2015, May 2016|
How to use
To install use pip3:
pip3 install cnfhash
Then you can use the following API in python3:
import cnfhash # reading blockwise from a DIMACS file def read_blockwise(filepath): with open(filepath) as fd: while True: buf = fd.read(4096) if len(buf) == 0: break yield buf reader = read_blockwise('test.cnf') print(cnfhash.hash_dimacs(reader)) # or use integers directly print(cnfhash.hash_cnf([3, 2, 1, -3, 0, -1, 2, 0]))
Testing the software
Download the testsuite. Provide the folder location as environment variable:
Then run all files in the tests directory:
The testsuite has been run successfully, if the exit code has always been 0.
DIMACS file assumptions
A DIMACS file is valid iff
- Any line starting with “c” or consisting only of whitespace is considered as comment line and content is not interpreted until the next newline character occurs.
- The remaining file is a sequence of whitespace separated values.
- The first value is required to be “p”
- The second value is required to be “cnf”
- The third value is required to be a non-negative integer and called nbvars.
- The fourth value is required to be a non-negative integer and called nbclauses.
- The remaining non-zero integers are called lits.
- The remaining zero integers are called clause terminators.
- A DIMACS file must be terminated by a clause terminator.
- Every lit must satisfy -nbvars ≤ lit ≤ nbvars.
- The number of clause terminators must equate nbclauses.
|“cnf”||U+0063 U+006E U+0066 U+0020|
|nonzero digit||U+0031 – U+0039|
|digits||U+0030 – U+0039|
|whitespace||U+0020, U+000D, U+000A, U+0009|
A valid DIMACS file is read in and a SHA1 instance is fed with bytes:
- The first four values are dropped.
- Lits are treated as integers without leading zeros. Integers are submitted as base 10 ASCII digits with an optional leading sign to the SHA1 instance.
- Clause terminators are submitted as zero character followed by a newline character to the SHA1 instance.
Performance and memory
The DIMACS parser uses OS’ page size as default block size. A few constant values and the python runtime is also stored in memory. So for a python program, this implementation is very memory-friendly.
The technical report shows that 45 DIMACS files summing up to 1 GB memory can be read in 2989 seconds. In terms of performance, the equivalent Go implementation is recommended.
% cat test.cnf p cnf 5 6 1 2 3 0 2 3 -4 0 1 -2 0 -1 2 0 1 3 5 0 1 -4 -5 0 % cnf-hash-py test.cnf cnf-hash-py 2.1.2 2016-05-29T12:27:13.991260 /root cnf2$776d81a0c805104e265667917b22ffefe9f39433 test.cnf %
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|Filename, size & hash||File type||Python version||Upload date|
|cnfhash-2.1.2.tar.gz (6.2 kB) View hashes||Source||None|