@@ -1,4 +1,4 @@ | |||
import os | |||
import os, sys | |||
import time | |||
import multiprocessing as mp | |||
import numpy as np | |||
@@ -16,26 +16,14 @@ def perm_ryser(a): | |||
terms=map(get_term, indeces) | |||
return np.sum(terms)*((-1)**n) | |||
def explain_ryser(a): | |||
''' the permanent calculated using the ryser formula. much faster than the naive approach ''' | |||
n,n2=a.shape | |||
z=np.arange(n) | |||
irange=xrange(2**n) | |||
get_index=lambda i: (i & (1 << z)) != 0 | |||
for q in irange: | |||
print get_index(q) | |||
#get_term=lambda index: ((-1)**np.sum(index))*np.prod(np.sum(a[index,:], 0)) | |||
#indeces=map(get_index, irange) | |||
#terms=map(get_term, indeces) | |||
#return np.sum(terms)*((-1)**n) | |||
dimension=5 | |||
real=np.random.uniform(-1, 1, dimension*dimension).reshape((dimension, dimension)) | |||
imag=np.random.uniform(-1, 1, dimension*dimension).reshape((dimension, dimension)) | |||
submatrix=real+1j*imag | |||
print lib.permanent(submatrix), perm_ryser(submatrix) | |||
sys.exit(0) | |||
t=time.clock() | |||
for i in range(1000): | |||
perm_ryser(submatrix) | |||
@@ -0,0 +1,16 @@ | |||
// Count the number of set bits in a binary string | |||
int countbits(unsigned int n) | |||
{ | |||
int q=n; | |||
q = (q & 0x5555555555555555) + ((q & 0xAAAAAAAAAAAAAAAA) >> 1); | |||
q = (q & 0x3333333333333333) + ((q & 0xCCCCCCCCCCCCCCCC) >> 2); | |||
q = (q & 0x0F0F0F0F0F0F0F0F) + ((q & 0xF0F0F0F0F0F0F0F0) >> 4); | |||
q = (q & 0x00FF00FF00FF00FF) + ((q & 0xFF00FF00FF00FF00) >> 8); | |||
q = (q & 0x0000FFFF0000FFFF) + ((q & 0xFFFF0000FFFF0000) >> 16); | |||
q = (q & 0x00000000FFFFFFFF) + ((q & 0xFFFFFFFF00000000) >> 32); // This last & isq't strictly qecessary. | |||
return q; | |||
} | |||
int bitparity (unsigned int n) { return 1 - (countbits(n) & 1)*2; } | |||
@@ -0,0 +1,47 @@ | |||
// Array access macros. | |||
#define SM(x0, x1) (*(npy_complex128*)((PyArray_DATA(submatrix) + \ | |||
(x0) * PyArray_STRIDES(submatrix)[0] + \ | |||
(x1) * PyArray_STRIDES(submatrix)[1]))) | |||
#define SM_shape(x0) (int) PyArray_DIM(submatrix, x0) | |||
// Complex numbers | |||
static const npy_complex128 complex_one = {.real=1, .imag=0}; | |||
static const npy_complex128 complex_zero = {.real=0, .imag=0}; | |||
// Add two numbers | |||
npy_complex128 complex_add(npy_complex128 a, npy_complex128 b) { | |||
npy_complex128 x; | |||
x.real = a.real+b.real; | |||
x.imag = a.imag+b.real; | |||
return x; | |||
} | |||
// Product of two numbers | |||
npy_complex128 complex_prod(npy_complex128 a, npy_complex128 b) { | |||
npy_complex128 x; | |||
x.real = a.real*b.real - a.imag*b.imag; | |||
x.imag = a.imag*b.real + a.real*b.imag; | |||
return x; | |||
} | |||
// Product of complex and float | |||
npy_complex128 complex_float_prod(npy_complex128 a, float b) { | |||
npy_complex128 x; | |||
x.real = a.real*b; | |||
x.imag = a.imag*b; | |||
return x; | |||
} | |||
// Increment a number | |||
void complex_inc(npy_complex128 *a, npy_complex128 b) { | |||
a->real += b.real; | |||
a->imag += b.imag; | |||
} | |||
// Multipy a number by another one | |||
void complex_multiply(npy_complex128 *a, npy_complex128 b) { | |||
npy_complex128 c = {.real=a->real, .imag=a->imag}; | |||
a->real = c.real*b.real-c.imag*b.imag; | |||
a->imag = c.real*b.imag+c.imag*b.real; | |||
} | |||
@@ -1,90 +0,0 @@ | |||
/* Computes the permanent, given a numpy array */ | |||
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION | |||
#include <Python.h> | |||
#include <numpy/arrayobject.h> | |||
#include <math.h> | |||
#include <complex.h> | |||
// Globals | |||
PyArrayObject *submatrix; | |||
int size; | |||
// Boilerplate: Forward function declaration. | |||
static PyObject *permanent(PyObject *self, PyObject *args); | |||
// Boilerplate: method list. | |||
static PyMethodDef methods[] = { | |||
{ "permanent", permanent, METH_VARARGS, "Compute the permanent"}, | |||
{ NULL, NULL, 0, NULL } /* Sentinel */ | |||
}; | |||
// Boilerplate: Module initialization. | |||
PyMODINIT_FUNC initpermanent(void) { | |||
(void) Py_InitModule("permanent", methods); | |||
import_array(); | |||
} | |||
// Array access macros. | |||
#define SM(x0, x1) (*(npy_complex64*)((PyArray_DATA(submatrix) + \ | |||
(x0) * PyArray_STRIDES(submatrix)[0] + \ | |||
(x1) * PyArray_STRIDES(submatrix)[1]))) | |||
#define SM_shape(x0) (int) PyArray_DIM(submatrix, x0) | |||
// Ryser's algorithm takes exponential time | |||
// The advantage over naive perm() only kicks in at around 6x6 matrices | |||
// TODO: should take matrix as arg really, get rid of consts | |||
static npy_complex64 perm_ryser(void) { | |||
npy_complex64 p; | |||
p.real=0; p.imag=0; | |||
int i, j; | |||
for (i = 0; i < size; ++i) { | |||
for (j = 0; j < size; ++j) { | |||
npy_complex64 q = SM(0,0); | |||
p.real += q.real; | |||
p.imag += q.imag; | |||
} | |||
} | |||
return p; | |||
} | |||
void TODO(void) { | |||
int n = size; | |||
int i = 0; int z = 0; int y = 0; | |||
npy_complex64 perm; perm.real=0; perm.imag=0; | |||
npy_complex64 prod; | |||
npy_complex64 sum; sum.real=0; sum.imag=0; | |||
npy_complex64 element; | |||
int exp=pow(2.0, n); | |||
// Iterate over exponentially many index strings | |||
for (i=0; i<exp; ++i) { | |||
prod.real = 1; prod.imag=0; | |||
for (y=0; y<n; ++y) { // Rows | |||
sum.real = 0; sum.imag = 0; | |||
for (z=0; z<n; ++z) { // Columns | |||
if ((i & (1 << z)) > 0) { sum.real += SM(z,y).real; sum.imag += SM(z,y).imag; } | |||
} | |||
prod = c_prod(prod, sum); | |||
} | |||
perm += parity(i) * prod; | |||
} | |||
return c_prod((pow(-1,n)), perm); | |||
} | |||
// This is basically a wrapper which chooses the optimal permanent function | |||
static PyObject *permanent(PyObject *self, PyObject *args) { | |||
// Parse input | |||
if (!PyArg_ParseTuple(args, "O!", &PyArray_Type, &submatrix)) { | |||
return NULL; | |||
} | |||
// Check for stupid mistakes | |||
if ((int) PyArray_NDIM(submatrix) != 2) {return NULL;} | |||
size = (int) PyArray_DIM(submatrix, 0); | |||
if ((int) PyArray_DIM(submatrix, 1) != size) {return NULL;} | |||
// Get the permanent, convert to a python object, and return | |||
npy_complex64 p = perm_ryser(); | |||
return PyComplex_FromDoubles(p.real,p.imag); | |||
} |
@@ -1,68 +0,0 @@ | |||
/* Computes the permanent, given a numpy array */ | |||
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION | |||
#include <Python.h> | |||
#include <numpy/arrayobject.h> | |||
#include <math.h> | |||
#include <complex.h> | |||
// Globals | |||
// Boilerplate: Forward function declaration. | |||
static PyObject *permanent(PyObject *self, PyObject *args); | |||
// Boilerplate: method list. | |||
static PyMethodDef methods[] = { | |||
{ "permanent", permanent, METH_VARARGS, "Compute the permanent"}, | |||
{ NULL, NULL, 0, NULL } /* Sentinel */ | |||
}; | |||
// Boilerplate: Module initialization. | |||
PyMODINIT_FUNC initpermanent(void) { | |||
(void) Py_InitModule("permanent", methods); | |||
import_array(); | |||
} | |||
// Array access macros. | |||
#define SM(x0, x1) (*(npy_complex64*)((PyArray_DATA(submatrix) + \ | |||
(x0) * PyArray_STRIDES(submatrix)[0] + \ | |||
(x1) * PyArray_STRIDES(submatrix)[1]))) | |||
#define SM_shape(x0) (int) PyArray_DIM(submatrix, x0) | |||
// Ryser's algorithm takes exponential time | |||
// The advantage over naive perm() only kicks in at around 6x6 matrices | |||
// TODO: should take matrix as arg really, get rid of consts | |||
static npy_complex64 perm_ryser(PyArrayObject *submatrix) { | |||
int size = (int) PyArray_DIM(submatrix, 0); | |||
npy_complex64 p; | |||
p.real=0; p.imag=0; | |||
int i, j; | |||
for (i = 0; i < size; ++i) { | |||
for (j = 0; j < size; ++j) { | |||
npy_complex64 q = SM(i,j); | |||
printf("real: %f\n", q.real); | |||
printf("imag: %f\n", q.imag); | |||
p.real += q.real; | |||
p.imag += q.imag; | |||
} | |||
} | |||
return p; | |||
} | |||
// This is basically a wrapper which chooses the optimal permanent function | |||
static PyObject *permanent(PyObject *self, PyObject *args) { | |||
// Parse input | |||
PyArrayObject *submatrix; | |||
if (!PyArg_ParseTuple(args, "O!", &PyArray_Type, &submatrix)) { | |||
return NULL; | |||
} | |||
// Check for stupid mistakes | |||
if ((int) PyArray_NDIM(submatrix) != 2) {return NULL;} | |||
int size = (int) PyArray_DIM(submatrix, 0); | |||
if ((int) PyArray_DIM(submatrix, 1) != size) {return NULL;} | |||
// Get the permanent, convert to a python object, and return | |||
npy_complex64 p = perm_ryser(submatrix); | |||
return PyComplex_FromDoubles(p.real, p.imag); | |||
} |
@@ -2,51 +2,20 @@ | |||
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION | |||
#include <Python.h> | |||
#include <numpy/arrayobject.h> | |||
#include "bithacks.h" | |||
#include "npy_util.h" | |||
// Array access macros. | |||
#define SM(x0, x1) (*(npy_complex128*)((PyArray_DATA(submatrix) + \ | |||
(x0) * PyArray_STRIDES(submatrix)[0] + \ | |||
(x1) * PyArray_STRIDES(submatrix)[1]))) | |||
#define SM_shape(x0) (int) PyArray_DIM(submatrix, x0) | |||
// Forward function declaration | |||
static PyObject *permanent(PyObject *self, PyObject *args); | |||
int countbits(unsigned int n) | |||
{ | |||
int q=n; | |||
q = (q & 0x5555555555555555) + ((q & 0xAAAAAAAAAAAAAAAA) >> 1); | |||
q = (q & 0x3333333333333333) + ((q & 0xCCCCCCCCCCCCCCCC) >> 2); | |||
q = (q & 0x0F0F0F0F0F0F0F0F) + ((q & 0xF0F0F0F0F0F0F0F0) >> 4); | |||
q = (q & 0x00FF00FF00FF00FF) + ((q & 0xFF00FF00FF00FF00) >> 8); | |||
q = (q & 0x0000FFFF0000FFFF) + ((q & 0xFFFF0000FFFF0000) >> 16); | |||
q = (q & 0x00000000FFFFFFFF) + ((q & 0xFFFFFFFF00000000) >> 32); // This last & isq't strictly qecessary. | |||
return q; | |||
} | |||
int bitparity (unsigned int n) { return 1 - (countbits(n) & 1)*2; } | |||
// Complex numbers | |||
static const npy_complex128 complex_one = {.real=1, .imag=0}; | |||
static const npy_complex128 complex_zero = {.real=0, .imag=0}; | |||
static npy_complex128 complex_add(npy_complex128 a, npy_complex128 b) { | |||
npy_complex128 x; | |||
x.real = a.real+b.real; | |||
x.imag = a.imag+b.imag; | |||
return x; | |||
} | |||
static npy_complex128 complex_prod(npy_complex128 a, npy_complex128 b) { | |||
npy_complex128 x; | |||
x.real = a.real*b.real - a.imag*b.imag; | |||
x.imag = a.imag*b.real + a.real*b.imag; | |||
return x; | |||
} | |||
// Boilerplate | |||
static PyObject *permanent(PyObject *self, PyObject *args); // Forward function declaration | |||
static PyMethodDef methods[] = { // Method list | |||
// Method list | |||
static PyMethodDef methods[] = { | |||
{ "permanent", permanent, METH_VARARGS, "Compute the permanent"}, | |||
{ NULL, NULL, 0, NULL } /* Sentinel */ | |||
{ NULL, NULL, 0, NULL } // Sentinel | |||
}; | |||
PyMODINIT_FUNC initpermanent(void) { // Module initialization | |||
// Module initialization | |||
PyMODINIT_FUNC initpermanent(void) { | |||
(void) Py_InitModule("permanent", methods); | |||
import_array(); | |||
} | |||
@@ -58,21 +27,18 @@ static npy_complex128 perm_ryser(PyArrayObject *submatrix) { | |||
npy_complex128 perm = complex_zero; | |||
int exp = 1 << n; | |||
int i, y, z; | |||
// Iterate over exponentially many index strings | |||
for (i=0; i<exp; ++i) { | |||
rowsumprod = complex_one; | |||
for (y=0; y<n; ++y) { // Rows | |||
for (y=0; y<n; ++y) { | |||
rowsum = complex_zero; | |||
for (z=0; z<n; ++z) { // Columns | |||
if ((i & (1 << z)) != 0) { rowsum = complex_add(rowsum, SM(z,y)); } | |||
for (z=0; z<n; ++z) { | |||
if ((i & (1 << z)) != 0) { complex_inc(&rowsum, SM(z, y)); } | |||
} | |||
rowsumprod = complex_prod(rowsumprod, rowsum); | |||
complex_multiply(&rowsumprod, rowsum); | |||
} | |||
int sign = bitparity(i); | |||
perm.real+=sign*rowsumprod.real; perm.imag+=sign*rowsumprod.imag; | |||
complex_inc(&perm, complex_float_prod(rowsumprod, bitparity(i))); | |||
} | |||
if (n%2 == 1) {perm.real*=-1; perm.imag*=-1;} | |||
if (n%2 == 1) {perm=complex_float_prod(perm, -1);} | |||
return perm; | |||
} | |||