2022-10-03 09:13:30 +00:00
|
|
|
#define PY_SSIZE_T_CLEAN
|
|
|
|
#include <Python.h>
|
|
|
|
|
|
|
|
long* PySequenceToLongArray(PyObject* pylist) {
|
|
|
|
if (!(pylist && PySequence_Check(pylist))) return NULL;
|
|
|
|
Py_ssize_t len = PySequence_Size(pylist);
|
|
|
|
long* result = (long*)calloc(len + 1, sizeof(long));
|
|
|
|
for (Py_ssize_t i = 0; i < len; ++i) {
|
|
|
|
PyObject* item = PySequence_GetItem(pylist, i);
|
|
|
|
result[i] = PyLong_AsLong(item);
|
|
|
|
Py_DECREF(item);
|
|
|
|
}
|
|
|
|
result[len] = 0;
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
double* PySequenceToDoubleArray(PyObject* pylist) {
|
|
|
|
if (!(pylist && PySequence_Check(pylist))) return NULL;
|
|
|
|
Py_ssize_t len = PySequence_Size(pylist);
|
|
|
|
double* result = (double*)calloc(len + 1, sizeof(double));
|
|
|
|
for (Py_ssize_t i = 0; i < len; ++i) {
|
|
|
|
PyObject* item = PySequence_GetItem(pylist, i);
|
|
|
|
result[i] = PyFloat_AsDouble(item);
|
|
|
|
Py_DECREF(item);
|
|
|
|
}
|
|
|
|
result[len] = 0;
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
long* getLongArray(PyObject* container, const char* attributeName) {
|
|
|
|
PyObject* sequence = PyObject_GetAttrString(container, attributeName);
|
|
|
|
long* result = PySequenceToLongArray(sequence);
|
|
|
|
Py_DECREF(sequence);
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
double* getDoubleArray(PyObject* container, const char* attributeName) {
|
|
|
|
PyObject* sequence = PyObject_GetAttrString(container, attributeName);
|
|
|
|
double* result = PySequenceToDoubleArray(sequence);
|
|
|
|
Py_DECREF(sequence);
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
static PyObject* persistent_compute_table(PyObject* self, PyObject* args) {
|
|
|
|
PyObject* chain_param;
|
|
|
|
int mmax;
|
|
|
|
|
|
|
|
if (!PyArg_ParseTuple(args, "Oi", &chain_param, &mmax)) return NULL;
|
|
|
|
|
|
|
|
double* fw = getDoubleArray(chain_param, "fweight");
|
|
|
|
if (!fw) return NULL;
|
|
|
|
|
|
|
|
double* bw = getDoubleArray(chain_param, "bweight");
|
|
|
|
if (!bw) return NULL;
|
|
|
|
|
|
|
|
long* cw = getLongArray(chain_param, "cweight");
|
|
|
|
if (!cw) return NULL;
|
|
|
|
|
|
|
|
long* cbw = getLongArray(chain_param, "cbweight");
|
|
|
|
if (!cbw) return NULL;
|
|
|
|
|
|
|
|
long* fwd_tmp = getLongArray(chain_param, "fwd_mem_tmp");
|
|
|
|
if (!cbw) return NULL;
|
|
|
|
|
|
|
|
long* bwd_tmp = getLongArray(chain_param, "bwd_mem_tmp");
|
|
|
|
if (!cbw) return NULL;
|
|
|
|
|
|
|
|
PyObject* chain_length_param = PyObject_GetAttrString(chain_param, "length");
|
|
|
|
if (!chain_length_param) return NULL;
|
|
|
|
long chain_length = PyLong_AsLong(chain_length_param);
|
|
|
|
Py_DECREF(chain_length_param);
|
|
|
|
|
|
|
|
// TODO: Can be optimized by only allocating memory for l >= i
|
|
|
|
// TODO: float / int instead of double / long ?
|
|
|
|
#define OPT(m, i, l) \
|
|
|
|
opt[(m) * (chain_length + 1) * (chain_length + 1) + \
|
|
|
|
(i) * (chain_length + 1) + (l)]
|
|
|
|
double* opt = (double*)calloc(
|
|
|
|
(mmax + 1) * (chain_length + 1) * (chain_length + 1), sizeof(double));
|
|
|
|
|
|
|
|
#define WHAT(m, i, l) \
|
|
|
|
what[(m) * (chain_length + 1) * (chain_length + 1) + \
|
|
|
|
(i) * (chain_length + 1) + (l)]
|
|
|
|
long* what = (long*)calloc(
|
|
|
|
(mmax + 1) * (chain_length + 1) * (chain_length + 1), sizeof(long));
|
|
|
|
|
|
|
|
for (long m = 0; m <= mmax; ++m)
|
|
|
|
for (long i = 0; i <= chain_length; ++i)
|
|
|
|
// TODO: Can be optimized to remove the IF by reordering loops
|
|
|
|
if ((m >= cw[i + 1] + cbw[i + 1] + bwd_tmp[i]) &&
|
|
|
|
(m >= cw[i + 1] + cbw[i + 1] + fwd_tmp[i]))
|
|
|
|
OPT(m, i, i) = fw[i] + bw[i];
|
|
|
|
else
|
|
|
|
OPT(m, i, i) = INFINITY;
|
|
|
|
|
|
|
|
for (long m = 0; m <= mmax; ++m)
|
2022-10-12 07:21:58 +00:00
|
|
|
for (long d = 1; d <= chain_length; ++d) {
|
|
|
|
for (long i = 0; i <= chain_length - d; ++i) {
|
|
|
|
long idx = i + d;
|
|
|
|
long mmin = cw[idx + 1] + cw[i + 1] + fwd_tmp[i];
|
|
|
|
if (idx > i + 1) {
|
|
|
|
long maxCostFWD = 0;
|
|
|
|
for (long j = i + 1; j < idx; j++) {
|
|
|
|
maxCostFWD = fmaxl(maxCostFWD, cw[j] + cw[j + 1] + fwd_tmp[j]);
|
|
|
|
}
|
|
|
|
mmin = fmaxl(mmin, cw[idx + 1] + maxCostFWD);
|
2022-10-03 09:13:30 +00:00
|
|
|
}
|
|
|
|
if ((m >= mmin)) {
|
|
|
|
long bestLeaf = -1;
|
|
|
|
double sumFw = 0;
|
|
|
|
double bestLeafCost = INFINITY;
|
|
|
|
/// sumFw + OPT(m-cw[i+1], i+1, l) + OPT(m, i, i); // Value for j =
|
|
|
|
/// i+1
|
2022-10-12 07:21:58 +00:00
|
|
|
for (long j = i + 1; j <= idx; ++j) {
|
2022-10-03 09:13:30 +00:00
|
|
|
sumFw += fw[j - 1];
|
|
|
|
if (m >= cw[j]) {
|
2022-10-12 07:21:58 +00:00
|
|
|
double cost = sumFw + OPT(m - cw[j], j, idx) + OPT(m, i, j - 1);
|
2022-10-03 09:13:30 +00:00
|
|
|
if (cost < bestLeafCost) {
|
|
|
|
bestLeafCost = cost;
|
|
|
|
bestLeaf = j;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
double chainCost = INFINITY;
|
|
|
|
if (m >= cbw[i + 1])
|
2022-10-12 07:21:58 +00:00
|
|
|
chainCost = OPT(m, i, i) + OPT(m - cbw[i + 1], i + 1, idx);
|
2022-10-03 09:13:30 +00:00
|
|
|
if (bestLeafCost <= chainCost) {
|
2022-10-12 07:21:58 +00:00
|
|
|
OPT(m, i, idx) = bestLeafCost;
|
|
|
|
WHAT(m, i, idx) = bestLeaf;
|
2022-10-03 09:13:30 +00:00
|
|
|
} else {
|
2022-10-12 07:21:58 +00:00
|
|
|
OPT(m, i, idx) = chainCost;
|
|
|
|
WHAT(m, i, idx) = -1;
|
2022-10-03 09:13:30 +00:00
|
|
|
}
|
|
|
|
} else
|
2022-10-12 07:21:58 +00:00
|
|
|
OPT(m, i, idx) = INFINITY;
|
2022-10-03 09:13:30 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
free(fw);
|
|
|
|
free(bw);
|
|
|
|
free(cw);
|
|
|
|
free(cbw);
|
|
|
|
free(fwd_tmp);
|
|
|
|
free(bwd_tmp);
|
|
|
|
|
|
|
|
PyObject* res_opt = PyList_New(mmax + 1);
|
|
|
|
PyObject* res_what = PyList_New(mmax + 1);
|
|
|
|
|
|
|
|
// Convert the result into Python world
|
|
|
|
for (long m = 0; m <= mmax; ++m) {
|
|
|
|
PyObject* res_opt_m = PyList_New(chain_length + 1);
|
|
|
|
PyList_SET_ITEM(res_opt, m, res_opt_m);
|
|
|
|
PyObject* res_what_m = PyList_New(chain_length + 1);
|
|
|
|
PyList_SET_ITEM(res_what, m, res_what_m);
|
|
|
|
for (long i = 0; i <= chain_length; ++i) {
|
|
|
|
PyObject* res_opt_m_i = PyDict_New();
|
|
|
|
PyList_SET_ITEM(res_opt_m, i, res_opt_m_i);
|
|
|
|
PyObject* res_what_m_i = PyDict_New();
|
|
|
|
PyList_SET_ITEM(res_what_m, i, res_what_m_i);
|
|
|
|
for (long l = i; l <= chain_length; ++l) {
|
|
|
|
PyObject* res_l = PyLong_FromLong(l);
|
|
|
|
PyObject* res_opt_m_i_l = PyFloat_FromDouble(OPT(m, i, l));
|
|
|
|
PyDict_SetItem(res_opt_m_i, res_l, res_opt_m_i_l);
|
|
|
|
Py_DECREF(res_opt_m_i_l);
|
|
|
|
PyObject* res_what_m_i_l;
|
|
|
|
long what_m_i_l = WHAT(m, i, l);
|
|
|
|
if (what_m_i_l < 0)
|
|
|
|
res_what_m_i_l = Py_BuildValue("(O)", Py_True);
|
|
|
|
else
|
|
|
|
res_what_m_i_l = Py_BuildValue("(Ol)", Py_False, what_m_i_l);
|
|
|
|
PyDict_SetItem(res_what_m_i, res_l, res_what_m_i_l);
|
|
|
|
Py_DECREF(res_what_m_i_l);
|
|
|
|
Py_DECREF(res_l);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
free(opt);
|
|
|
|
free(what);
|
|
|
|
|
|
|
|
PyObject* result = PyTuple_Pack(2, res_opt, res_what);
|
|
|
|
Py_DECREF(res_opt);
|
|
|
|
Py_DECREF(res_what);
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
// long i = L - s, j = t - s, k = l - t
|
|
|
|
inline long floating_index_in_array(long m_factor, long m, long i, long j,
|
|
|
|
long k) {
|
|
|
|
return m * m_factor + (i * (i + 1) * (2 * i + 4)) / 12 + (i + 1) * j -
|
|
|
|
(j * (j - 1)) / 2 + k;
|
|
|
|
}
|
|
|
|
|
|
|
|
typedef struct {
|
|
|
|
long sp;
|
|
|
|
long r;
|
|
|
|
long tp;
|
|
|
|
} index_t;
|
|
|
|
|
|
|
|
static PyObject* floating_compute_table(PyObject* self, PyObject* args) {
|
|
|
|
PyObject* chain_param;
|
|
|
|
int mmax;
|
|
|
|
|
|
|
|
if (!PyArg_ParseTuple(args, "Oi", &chain_param, &mmax)) return NULL;
|
|
|
|
|
|
|
|
double* fw = getDoubleArray(chain_param, "fweigth");
|
|
|
|
if (!fw) return NULL;
|
|
|
|
|
|
|
|
double* bw = getDoubleArray(chain_param, "bweigth");
|
|
|
|
if (!bw) return NULL;
|
|
|
|
|
|
|
|
long* cw = getLongArray(chain_param, "cweigth");
|
|
|
|
if (!cw) return NULL;
|
|
|
|
|
|
|
|
long* cbw = getLongArray(chain_param, "cbweigth");
|
|
|
|
if (!cbw) return NULL;
|
|
|
|
|
|
|
|
long* fwd_tmp = getLongArray(chain_param, "fwd_tmp");
|
|
|
|
if (!fwd_tmp) return NULL;
|
|
|
|
|
|
|
|
long* bwd_tmp = getLongArray(chain_param, "bwd_tmp");
|
|
|
|
if (!bwd_tmp) return NULL;
|
|
|
|
|
|
|
|
PyObject* chain_length_param = PyObject_GetAttrString(chain_param, "length");
|
|
|
|
if (!chain_length_param) return NULL;
|
|
|
|
long chain_length = PyLong_AsLong(chain_length_param);
|
|
|
|
Py_DECREF(chain_length_param);
|
|
|
|
|
|
|
|
const long m_factor =
|
|
|
|
(chain_length + 1) * (chain_length + 2) * (2 * chain_length + 6) / 12;
|
|
|
|
|
|
|
|
// Defined for 0 <= s <= t <= l <= chain_length, for all m
|
|
|
|
#undef OPT
|
|
|
|
#define OPT(m, s, t, l) \
|
|
|
|
opt[floating_index_in_array(m_factor, (m), chain_length - (s), (t) - (s), \
|
|
|
|
(l) - (t))]
|
|
|
|
double* opt = (double*)calloc((mmax + 1) * m_factor, sizeof(double));
|
|
|
|
|
|
|
|
#undef WHAT
|
|
|
|
#define WHAT(m, s, t, l) \
|
|
|
|
what[floating_index_in_array(m_factor, (m), chain_length - (s), (t) - (s), \
|
|
|
|
(l) - (t))]
|
|
|
|
index_t* what = (index_t*)calloc((mmax + 1) * m_factor, sizeof(index_t));
|
|
|
|
|
|
|
|
double* partialSumsFW = (double*)calloc(chain_length + 1, sizeof(double));
|
|
|
|
double total = 0;
|
|
|
|
for (long i = 0; i < chain_length; ++i) {
|
|
|
|
partialSumsFW[i] = total;
|
|
|
|
total += fw[i];
|
|
|
|
}
|
|
|
|
partialSumsFW[chain_length] = total;
|
|
|
|
|
|
|
|
for (long m = 0; m <= mmax; ++m)
|
|
|
|
for (long i = 0; i <= chain_length; ++i) {
|
|
|
|
// TODO: Can be optimized to remove the IF by reordering loops
|
|
|
|
if ((m >= cw[i] + cw[i + 1] + cbw[i + 1] + bwd_tmp[i]) &&
|
|
|
|
(m >= cw[i + 1] + cbw[i + 1] + fwd_tmp[i]))
|
|
|
|
OPT(m, i, i, i) = fw[i] + bw[i];
|
|
|
|
else
|
|
|
|
OPT(m, i, i, i) = INFINITY;
|
|
|
|
}
|
|
|
|
|
|
|
|
for (long m = 0; m <= mmax; ++m)
|
|
|
|
for (long d = 1; d <= chain_length; ++d) { // d = l - s
|
|
|
|
for (long s = 0; s <= chain_length - d; ++s) {
|
|
|
|
long l = s + d;
|
|
|
|
long memNullFirst = cw[l + 1] + cw[s + 1] + fwd_tmp[s];
|
|
|
|
long memNullSecond = 0;
|
|
|
|
for (long j = s + 1; j < l; ++j) {
|
|
|
|
long val = cw[j] + cw[j + 1] + fwd_tmp[j];
|
|
|
|
if (val > memNullSecond) memNullSecond = val;
|
|
|
|
}
|
|
|
|
for (long t = s; t <= l; ++t) {
|
|
|
|
double chainCost = INFINITY;
|
|
|
|
if ((s == t) && (m >= cw[l + 1] + cbw[s + 1] + fwd_tmp[s]) &&
|
|
|
|
(m >= cw[s] + cw[s + 1] + cbw[s + 1] + bwd_tmp[s])) {
|
|
|
|
chainCost = OPT(m, s, s, s) + OPT(m - cbw[s + 1], s + 1, s + 1, l);
|
|
|
|
}
|
|
|
|
double bestLeafCost = INFINITY;
|
|
|
|
index_t bestLeaf = {.sp = -1, .r = -1, .tp = -1};
|
|
|
|
if (m >= memNullFirst && m >= cw[l + 1] + memNullSecond) {
|
|
|
|
for (long r = s; r <= t; ++r)
|
|
|
|
if (cw[s] <= cw[r])
|
|
|
|
for (long tp = t + 1; tp <= l; ++tp)
|
|
|
|
for (long sp = r + 1; sp <= tp; ++sp) {
|
|
|
|
long mp = m - cw[r] + cw[s];
|
|
|
|
assert(mp >= 0);
|
|
|
|
if (mp >= cw[sp]) {
|
|
|
|
double value = partialSumsFW[sp] - partialSumsFW[s] +
|
|
|
|
OPT(mp - cw[sp], sp, tp, l) +
|
|
|
|
OPT(mp, r, t, tp - 1);
|
|
|
|
if (value < bestLeafCost) {
|
|
|
|
bestLeafCost = value;
|
|
|
|
bestLeaf.sp = sp;
|
|
|
|
bestLeaf.r = r;
|
|
|
|
bestLeaf.tp = tp;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (bestLeaf.sp >= 0 && bestLeafCost <= chainCost) {
|
|
|
|
OPT(m, s, t, l) = bestLeafCost;
|
|
|
|
WHAT(m, s, t, l).sp = bestLeaf.sp;
|
|
|
|
WHAT(m, s, t, l).r = bestLeaf.r;
|
|
|
|
WHAT(m, s, t, l).tp = bestLeaf.tp;
|
|
|
|
} else {
|
|
|
|
OPT(m, s, t, l) = chainCost;
|
|
|
|
WHAT(m, s, t, l).sp = -1;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
free(fw);
|
|
|
|
free(bw);
|
|
|
|
free(cw);
|
|
|
|
free(cbw);
|
|
|
|
free(fwd_tmp);
|
|
|
|
free(bwd_tmp);
|
|
|
|
|
|
|
|
PyObject* res_opt = PyList_New(mmax + 1);
|
|
|
|
PyObject* res_what = PyList_New(mmax + 1);
|
|
|
|
|
|
|
|
// Convert the result into Python world
|
|
|
|
PyObject* true_tuple = Py_BuildValue("(O)", Py_True);
|
|
|
|
for (long m = 0; m <= mmax; ++m) {
|
|
|
|
PyObject* res_opt_m = PyDict_New();
|
|
|
|
PyList_SET_ITEM(res_opt, m, res_opt_m);
|
|
|
|
PyObject* res_what_m = PyDict_New();
|
|
|
|
PyList_SET_ITEM(res_what, m, res_what_m);
|
|
|
|
for (long s = 0; s <= chain_length; ++s)
|
|
|
|
for (long t = s; t <= chain_length; ++t)
|
|
|
|
for (long l = t; l <= chain_length; ++l) {
|
|
|
|
PyObject* key = Py_BuildValue("(lll)", s, t, l);
|
|
|
|
PyObject* value_opt = PyFloat_FromDouble(OPT(m, s, t, l));
|
|
|
|
PyDict_SetItem(res_opt_m, key, value_opt);
|
|
|
|
PyObject* value_what = true_tuple;
|
|
|
|
index_t* idx_what = &WHAT(m, s, t, l);
|
|
|
|
if (idx_what->sp >= 0)
|
|
|
|
value_what = Py_BuildValue("(O(lll))", Py_False, idx_what->sp,
|
|
|
|
idx_what->r, idx_what->tp);
|
|
|
|
PyDict_SetItem(res_what_m, key, value_what);
|
|
|
|
if (value_what != true_tuple) Py_DECREF(value_what);
|
|
|
|
Py_DECREF(key);
|
|
|
|
Py_DECREF(value_opt);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
Py_DECREF(true_tuple);
|
|
|
|
|
|
|
|
free(opt);
|
|
|
|
free(what);
|
|
|
|
|
|
|
|
PyObject* result = PyTuple_Pack(2, res_opt, res_what);
|
|
|
|
Py_DECREF(res_opt);
|
|
|
|
Py_DECREF(res_what);
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
static PyObject* griewank_heterogeneous_compute_table(PyObject* self,
|
|
|
|
PyObject* args) {
|
|
|
|
PyObject* chain_param;
|
|
|
|
int mmax;
|
|
|
|
|
|
|
|
if (!PyArg_ParseTuple(args, "Oi", &chain_param, &mmax)) return NULL;
|
|
|
|
|
|
|
|
double* fw = getDoubleArray(chain_param, "fweigth");
|
|
|
|
if (!fw) return NULL;
|
|
|
|
|
|
|
|
double* bw = getDoubleArray(chain_param, "bweigth");
|
|
|
|
if (!bw) return NULL;
|
|
|
|
|
|
|
|
long* cw = getLongArray(chain_param, "cweigth");
|
|
|
|
if (!cw) return NULL;
|
|
|
|
|
|
|
|
long* cbw = getLongArray(chain_param, "cbweigth");
|
|
|
|
if (!cbw) return NULL;
|
|
|
|
|
|
|
|
PyObject* chain_length_param = PyObject_GetAttrString(chain_param, "length");
|
|
|
|
if (!chain_length_param) return NULL;
|
|
|
|
long chain_length = PyLong_AsLong(chain_length_param);
|
|
|
|
Py_DECREF(chain_length_param);
|
|
|
|
|
|
|
|
// TODO: Can be optimized by only allocating memory for l >= i
|
|
|
|
// TODO: float / int instead of double / long ?
|
|
|
|
#undef OPT
|
|
|
|
#define OPT(m, i, l) \
|
|
|
|
opt[(m) * (chain_length + 1) * (chain_length + 1) + \
|
|
|
|
(i) * (chain_length + 1) + (l)]
|
|
|
|
double* opt = (double*)calloc(
|
|
|
|
(mmax + 1) * (chain_length + 1) * (chain_length + 1), sizeof(double));
|
|
|
|
|
|
|
|
// Compute partial sums
|
|
|
|
double* sumfw = (double*)calloc(chain_length, sizeof(double));
|
|
|
|
double* sumbw = (double*)calloc(chain_length + 1, sizeof(double));
|
|
|
|
double* sumsumfw = (double*)calloc(chain_length, sizeof(double));
|
|
|
|
|
|
|
|
double total = 0;
|
|
|
|
for (long i = 0; i < chain_length; ++i) {
|
|
|
|
total += fw[i];
|
|
|
|
sumfw[i] = total;
|
|
|
|
}
|
|
|
|
|
|
|
|
total = 0;
|
|
|
|
for (long i = 0; i < chain_length + 1; ++i) {
|
|
|
|
total += bw[i];
|
|
|
|
sumbw[i] = total;
|
|
|
|
}
|
|
|
|
|
|
|
|
total = 0;
|
|
|
|
for (long i = 0; i < chain_length; ++i) {
|
|
|
|
total += sumfw[i];
|
|
|
|
sumsumfw[i] = total;
|
|
|
|
}
|
|
|
|
|
|
|
|
for (long m = 0; m <= mmax; ++m)
|
|
|
|
for (long i = 0; i <= chain_length; ++i) {
|
|
|
|
// TODO: Can be optimized to remove the IF by reordering loops
|
|
|
|
if ((m >= cbw[i]) && (m >= cw[i] + cbw[i + 1]))
|
|
|
|
OPT(m, i, i) = bw[i];
|
|
|
|
else
|
|
|
|
OPT(m, i, i) = INFINITY;
|
|
|
|
|
|
|
|
if (i < chain_length) {
|
|
|
|
long maxC = fmaxl(cw[i], cw[i + 1]);
|
|
|
|
long maxCB = fmaxl(cbw[i + 1], cbw[i + 2] + maxC);
|
|
|
|
if ((m >= cbw[i]) && (m >= cw[i] + maxCB))
|
|
|
|
OPT(m, i, i + 1) = fw[i] + bw[i] + bw[i + 1];
|
|
|
|
else
|
|
|
|
OPT(m, i, i + 1) = INFINITY;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
for (long m = 0; m <= mmax; ++m)
|
|
|
|
for (long i = 0; i + 2 <= chain_length; ++i) {
|
|
|
|
long mminCst = fmaxl(cbw[i], cbw[i + 1] + cw[i]);
|
|
|
|
long maxCW_il = fmax(fmax(cw[i], cw[i + 1]), cw[i + 2]);
|
|
|
|
long maxCostFWD = cw[i] + cbw[i + 2] + maxCW_il;
|
|
|
|
for (long l = i + 2; l <= chain_length; ++l) {
|
|
|
|
maxCW_il = fmax(maxCW_il, cw[l + 1]);
|
|
|
|
maxCostFWD = fmaxl(maxCostFWD, cw[i] + cw[l + 1] + maxCW_il);
|
|
|
|
long mmin = fmaxl(mminCst, maxCostFWD);
|
|
|
|
if ((m >= mmin)) {
|
|
|
|
double noCheckpointCost = sumbw[l] - (i > 0 ? sumbw[i - 1] : 0);
|
|
|
|
noCheckpointCost +=
|
|
|
|
sumsumfw[l - 1] -
|
|
|
|
(i > 0 ? sumsumfw[i - 1] + (l - i) * sumfw[i - 1] : 0);
|
|
|
|
|
|
|
|
double valueCost = INFINITY;
|
|
|
|
if (m >= cw[i]) {
|
|
|
|
double sumFwds = 0;
|
|
|
|
for (long j = i + 1; j < l; ++j) {
|
|
|
|
sumFwds += fw[j - 1];
|
|
|
|
valueCost = fmin(
|
|
|
|
valueCost, sumFwds + OPT(m - cw[i], j, l) + OPT(m, i, j - 1));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
OPT(m, i, l) = fmin(noCheckpointCost, valueCost);
|
|
|
|
} else
|
|
|
|
OPT(m, i, l) = INFINITY;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
free(sumfw);
|
|
|
|
free(sumbw);
|
|
|
|
free(sumsumfw);
|
|
|
|
free(fw);
|
|
|
|
free(bw);
|
|
|
|
free(cw);
|
|
|
|
free(cbw);
|
|
|
|
|
|
|
|
PyObject* res_opt = PyList_New(mmax + 1);
|
|
|
|
|
|
|
|
// Convert the result into Python world
|
|
|
|
for (long m = 0; m <= mmax; ++m) {
|
|
|
|
PyObject* res_opt_m = PyList_New(chain_length + 1);
|
|
|
|
PyList_SET_ITEM(res_opt, m, res_opt_m);
|
|
|
|
for (long i = 0; i <= chain_length; ++i) {
|
|
|
|
PyObject* res_opt_m_i = PyDict_New();
|
|
|
|
PyList_SET_ITEM(res_opt_m, i, res_opt_m_i);
|
|
|
|
for (long l = i; l <= chain_length; ++l) {
|
|
|
|
PyObject* res_l = PyLong_FromLong(l - i);
|
|
|
|
PyObject* res_opt_m_i_l = PyFloat_FromDouble(OPT(m, i, l));
|
|
|
|
PyDict_SetItem(res_opt_m_i, res_l, res_opt_m_i_l);
|
|
|
|
Py_DECREF(res_opt_m_i_l);
|
|
|
|
Py_DECREF(res_l);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
free(opt);
|
|
|
|
|
|
|
|
return res_opt;
|
|
|
|
}
|
|
|
|
|
|
|
|
static PyMethodDef dynamic_programs_methods[] = {
|
|
|
|
{"persistent_compute_table", persistent_compute_table, METH_VARARGS,
|
|
|
|
"Compute the optimal table with the persistent algorithm."},
|
|
|
|
{"floating_compute_table", floating_compute_table, METH_VARARGS,
|
|
|
|
"Compute the optimal table with the floating algorithm."},
|
|
|
|
{"griewank_heterogeneous_compute_table",
|
|
|
|
griewank_heterogeneous_compute_table, METH_VARARGS,
|
|
|
|
"Compute the optimal table for the Griewank Heterogeneous Model."},
|
|
|
|
{NULL, NULL, 0, NULL} /* Sentinel */
|
|
|
|
};
|
|
|
|
|
|
|
|
static struct PyModuleDef dynamic_programs_module = {
|
|
|
|
PyModuleDef_HEAD_INIT, "dynamic_programs_C_version", /* name of module */
|
|
|
|
NULL, /* module documentation, may be NULL */
|
|
|
|
-1, /* size of per-interpreter state of the module,
|
|
|
|
or -1 if the module keeps state in global variables. */
|
|
|
|
dynamic_programs_methods};
|
|
|
|
|
|
|
|
PyMODINIT_FUNC PyInit_dynamic_programs_C_version(void) {
|
|
|
|
return PyModule_Create(&dynamic_programs_module);
|
|
|
|
}
|