--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/symbian-qemu-0.9.1-12/python-2.6.1/Modules/_randommodule.c Fri Jul 31 15:01:17 2009 +0100
@@ -0,0 +1,580 @@
+/* Random objects */
+
+/* ------------------------------------------------------------------
+ The code in this module was based on a download from:
+ http://www.math.keio.ac.jp/~matumoto/MT2002/emt19937ar.html
+
+ It was modified in 2002 by Raymond Hettinger as follows:
+
+ * the principal computational lines untouched except for tabbing.
+
+ * renamed genrand_res53() to random_random() and wrapped
+ in python calling/return code.
+
+ * genrand_int32() and the helper functions, init_genrand()
+ and init_by_array(), were declared static, wrapped in
+ Python calling/return code. also, their global data
+ references were replaced with structure references.
+
+ * unused functions from the original were deleted.
+ new, original C python code was added to implement the
+ Random() interface.
+
+ The following are the verbatim comments from the original code:
+
+ A C-program for MT19937, with initialization improved 2002/1/26.
+ Coded by Takuji Nishimura and Makoto Matsumoto.
+
+ Before using, initialize the state by using init_genrand(seed)
+ or init_by_array(init_key, key_length).
+
+ Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
+ All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ 1. Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ 2. Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ 3. The names of its contributors may not be used to endorse or promote
+ products derived from this software without specific prior written
+ permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+ Any feedback is very welcome.
+ http://www.math.keio.ac.jp/matumoto/emt.html
+ email: matumoto@math.keio.ac.jp
+*/
+
+/* ---------------------------------------------------------------*/
+
+#include "Python.h"
+#include <time.h> /* for seeding to current time */
+
+/* Period parameters -- These are all magic. Don't change. */
+#define N 624
+#define M 397
+#define MATRIX_A 0x9908b0dfUL /* constant vector a */
+#define UPPER_MASK 0x80000000UL /* most significant w-r bits */
+#define LOWER_MASK 0x7fffffffUL /* least significant r bits */
+
+typedef struct {
+ PyObject_HEAD
+ unsigned long state[N];
+ int index;
+} RandomObject;
+
+static PyTypeObject Random_Type;
+
+#define RandomObject_Check(v) (Py_TYPE(v) == &Random_Type)
+
+
+/* Random methods */
+
+
+/* generates a random number on [0,0xffffffff]-interval */
+static unsigned long
+genrand_int32(RandomObject *self)
+{
+ unsigned long y;
+ static unsigned long mag01[2]={0x0UL, MATRIX_A};
+ /* mag01[x] = x * MATRIX_A for x=0,1 */
+ unsigned long *mt;
+
+ mt = self->state;
+ if (self->index >= N) { /* generate N words at one time */
+ int kk;
+
+ for (kk=0;kk<N-M;kk++) {
+ y = (mt[kk]&UPPER_MASK)|(mt[kk+1]&LOWER_MASK);
+ mt[kk] = mt[kk+M] ^ (y >> 1) ^ mag01[y & 0x1UL];
+ }
+ for (;kk<N-1;kk++) {
+ y = (mt[kk]&UPPER_MASK)|(mt[kk+1]&LOWER_MASK);
+ mt[kk] = mt[kk+(M-N)] ^ (y >> 1) ^ mag01[y & 0x1UL];
+ }
+ y = (mt[N-1]&UPPER_MASK)|(mt[0]&LOWER_MASK);
+ mt[N-1] = mt[M-1] ^ (y >> 1) ^ mag01[y & 0x1UL];
+
+ self->index = 0;
+ }
+
+ y = mt[self->index++];
+ y ^= (y >> 11);
+ y ^= (y << 7) & 0x9d2c5680UL;
+ y ^= (y << 15) & 0xefc60000UL;
+ y ^= (y >> 18);
+ return y;
+}
+
+/* random_random is the function named genrand_res53 in the original code;
+ * generates a random number on [0,1) with 53-bit resolution; note that
+ * 9007199254740992 == 2**53; I assume they're spelling "/2**53" as
+ * multiply-by-reciprocal in the (likely vain) hope that the compiler will
+ * optimize the division away at compile-time. 67108864 is 2**26. In
+ * effect, a contains 27 random bits shifted left 26, and b fills in the
+ * lower 26 bits of the 53-bit numerator.
+ * The orginal code credited Isaku Wada for this algorithm, 2002/01/09.
+ */
+static PyObject *
+random_random(RandomObject *self)
+{
+ unsigned long a=genrand_int32(self)>>5, b=genrand_int32(self)>>6;
+ return PyFloat_FromDouble((a*67108864.0+b)*(1.0/9007199254740992.0));
+}
+
+/* initializes mt[N] with a seed */
+static void
+init_genrand(RandomObject *self, unsigned long s)
+{
+ int mti;
+ unsigned long *mt;
+
+ mt = self->state;
+ mt[0]= s & 0xffffffffUL;
+ for (mti=1; mti<N; mti++) {
+ mt[mti] =
+ (1812433253UL * (mt[mti-1] ^ (mt[mti-1] >> 30)) + mti);
+ /* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */
+ /* In the previous versions, MSBs of the seed affect */
+ /* only MSBs of the array mt[]. */
+ /* 2002/01/09 modified by Makoto Matsumoto */
+ mt[mti] &= 0xffffffffUL;
+ /* for >32 bit machines */
+ }
+ self->index = mti;
+ return;
+}
+
+/* initialize by an array with array-length */
+/* init_key is the array for initializing keys */
+/* key_length is its length */
+static PyObject *
+init_by_array(RandomObject *self, unsigned long init_key[], unsigned long key_length)
+{
+ unsigned int i, j, k; /* was signed in the original code. RDH 12/16/2002 */
+ unsigned long *mt;
+
+ mt = self->state;
+ init_genrand(self, 19650218UL);
+ i=1; j=0;
+ k = (N>key_length ? N : key_length);
+ for (; k; k--) {
+ mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >> 30)) * 1664525UL))
+ + init_key[j] + j; /* non linear */
+ mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
+ i++; j++;
+ if (i>=N) { mt[0] = mt[N-1]; i=1; }
+ if (j>=key_length) j=0;
+ }
+ for (k=N-1; k; k--) {
+ mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >> 30)) * 1566083941UL))
+ - i; /* non linear */
+ mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
+ i++;
+ if (i>=N) { mt[0] = mt[N-1]; i=1; }
+ }
+
+ mt[0] = 0x80000000UL; /* MSB is 1; assuring non-zero initial array */
+ Py_INCREF(Py_None);
+ return Py_None;
+}
+
+/*
+ * The rest is Python-specific code, neither part of, nor derived from, the
+ * Twister download.
+ */
+
+static PyObject *
+random_seed(RandomObject *self, PyObject *args)
+{
+ PyObject *result = NULL; /* guilty until proved innocent */
+ PyObject *masklower = NULL;
+ PyObject *thirtytwo = NULL;
+ PyObject *n = NULL;
+ unsigned long *key = NULL;
+ unsigned long keymax; /* # of allocated slots in key */
+ unsigned long keyused; /* # of used slots in key */
+ int err;
+
+ PyObject *arg = NULL;
+
+ if (!PyArg_UnpackTuple(args, "seed", 0, 1, &arg))
+ return NULL;
+
+ if (arg == NULL || arg == Py_None) {
+ time_t now;
+
+ time(&now);
+ init_genrand(self, (unsigned long)now);
+ Py_INCREF(Py_None);
+ return Py_None;
+ }
+ /* If the arg is an int or long, use its absolute value; else use
+ * the absolute value of its hash code.
+ */
+ if (PyInt_Check(arg) || PyLong_Check(arg))
+ n = PyNumber_Absolute(arg);
+ else {
+ long hash = PyObject_Hash(arg);
+ if (hash == -1)
+ goto Done;
+ n = PyLong_FromUnsignedLong((unsigned long)hash);
+ }
+ if (n == NULL)
+ goto Done;
+
+ /* Now split n into 32-bit chunks, from the right. Each piece is
+ * stored into key, which has a capacity of keymax chunks, of which
+ * keyused are filled. Alas, the repeated shifting makes this a
+ * quadratic-time algorithm; we'd really like to use
+ * _PyLong_AsByteArray here, but then we'd have to break into the
+ * long representation to figure out how big an array was needed
+ * in advance.
+ */
+ keymax = 8; /* arbitrary; grows later if needed */
+ keyused = 0;
+ key = (unsigned long *)PyMem_Malloc(keymax * sizeof(*key));
+ if (key == NULL)
+ goto Done;
+
+ masklower = PyLong_FromUnsignedLong(0xffffffffU);
+ if (masklower == NULL)
+ goto Done;
+ thirtytwo = PyInt_FromLong(32L);
+ if (thirtytwo == NULL)
+ goto Done;
+ while ((err=PyObject_IsTrue(n))) {
+ PyObject *newn;
+ PyObject *pychunk;
+ unsigned long chunk;
+
+ if (err == -1)
+ goto Done;
+ pychunk = PyNumber_And(n, masklower);
+ if (pychunk == NULL)
+ goto Done;
+ chunk = PyLong_AsUnsignedLong(pychunk);
+ Py_DECREF(pychunk);
+ if (chunk == (unsigned long)-1 && PyErr_Occurred())
+ goto Done;
+ newn = PyNumber_Rshift(n, thirtytwo);
+ if (newn == NULL)
+ goto Done;
+ Py_DECREF(n);
+ n = newn;
+ if (keyused >= keymax) {
+ unsigned long bigger = keymax << 1;
+ if ((bigger >> 1) != keymax) {
+ PyErr_NoMemory();
+ goto Done;
+ }
+ key = (unsigned long *)PyMem_Realloc(key,
+ bigger * sizeof(*key));
+ if (key == NULL)
+ goto Done;
+ keymax = bigger;
+ }
+ assert(keyused < keymax);
+ key[keyused++] = chunk;
+ }
+
+ if (keyused == 0)
+ key[keyused++] = 0UL;
+ result = init_by_array(self, key, keyused);
+Done:
+ Py_XDECREF(masklower);
+ Py_XDECREF(thirtytwo);
+ Py_XDECREF(n);
+ PyMem_Free(key);
+ return result;
+}
+
+static PyObject *
+random_getstate(RandomObject *self)
+{
+ PyObject *state;
+ PyObject *element;
+ int i;
+
+ state = PyTuple_New(N+1);
+ if (state == NULL)
+ return NULL;
+ for (i=0; i<N ; i++) {
+ element = PyLong_FromUnsignedLong(self->state[i]);
+ if (element == NULL)
+ goto Fail;
+ PyTuple_SET_ITEM(state, i, element);
+ }
+ element = PyLong_FromLong((long)(self->index));
+ if (element == NULL)
+ goto Fail;
+ PyTuple_SET_ITEM(state, i, element);
+ return state;
+
+Fail:
+ Py_DECREF(state);
+ return NULL;
+}
+
+static PyObject *
+random_setstate(RandomObject *self, PyObject *state)
+{
+ int i;
+ unsigned long element;
+ long index;
+
+ if (!PyTuple_Check(state)) {
+ PyErr_SetString(PyExc_TypeError,
+ "state vector must be a tuple");
+ return NULL;
+ }
+ if (PyTuple_Size(state) != N+1) {
+ PyErr_SetString(PyExc_ValueError,
+ "state vector is the wrong size");
+ return NULL;
+ }
+
+ for (i=0; i<N ; i++) {
+ element = PyLong_AsUnsignedLong(PyTuple_GET_ITEM(state, i));
+ if (element == -1 && PyErr_Occurred())
+ return NULL;
+ self->state[i] = element & 0xffffffffUL; /* Make sure we get sane state */
+ }
+
+ index = PyLong_AsLong(PyTuple_GET_ITEM(state, i));
+ if (index == -1 && PyErr_Occurred())
+ return NULL;
+ self->index = (int)index;
+
+ Py_INCREF(Py_None);
+ return Py_None;
+}
+
+/*
+Jumpahead should be a fast way advance the generator n-steps ahead, but
+lacking a formula for that, the next best is to use n and the existing
+state to create a new state far away from the original.
+
+The generator uses constant spaced additive feedback, so shuffling the
+state elements ought to produce a state which would not be encountered
+(in the near term) by calls to random(). Shuffling is normally
+implemented by swapping the ith element with another element ranging
+from 0 to i inclusive. That allows the element to have the possibility
+of not being moved. Since the goal is to produce a new, different
+state, the swap element is ranged from 0 to i-1 inclusive. This assures
+that each element gets moved at least once.
+
+To make sure that consecutive calls to jumpahead(n) produce different
+states (even in the rare case of involutory shuffles), i+1 is added to
+each element at position i. Successive calls are then guaranteed to
+have changing (growing) values as well as shuffled positions.
+
+Finally, the self->index value is set to N so that the generator itself
+kicks in on the next call to random(). This assures that all results
+have been through the generator and do not just reflect alterations to
+the underlying state.
+*/
+
+static PyObject *
+random_jumpahead(RandomObject *self, PyObject *n)
+{
+ long i, j;
+ PyObject *iobj;
+ PyObject *remobj;
+ unsigned long *mt, tmp;
+
+ if (!PyInt_Check(n) && !PyLong_Check(n)) {
+ PyErr_Format(PyExc_TypeError, "jumpahead requires an "
+ "integer, not '%s'",
+ Py_TYPE(n)->tp_name);
+ return NULL;
+ }
+
+ mt = self->state;
+ for (i = N-1; i > 1; i--) {
+ iobj = PyInt_FromLong(i);
+ if (iobj == NULL)
+ return NULL;
+ remobj = PyNumber_Remainder(n, iobj);
+ Py_DECREF(iobj);
+ if (remobj == NULL)
+ return NULL;
+ j = PyInt_AsLong(remobj);
+ Py_DECREF(remobj);
+ if (j == -1L && PyErr_Occurred())
+ return NULL;
+ tmp = mt[i];
+ mt[i] = mt[j];
+ mt[j] = tmp;
+ }
+
+ for (i = 0; i < N; i++)
+ mt[i] += i+1;
+
+ self->index = N;
+ Py_INCREF(Py_None);
+ return Py_None;
+}
+
+static PyObject *
+random_getrandbits(RandomObject *self, PyObject *args)
+{
+ int k, i, bytes;
+ unsigned long r;
+ unsigned char *bytearray;
+ PyObject *result;
+
+ if (!PyArg_ParseTuple(args, "i:getrandbits", &k))
+ return NULL;
+
+ if (k <= 0) {
+ PyErr_SetString(PyExc_ValueError,
+ "number of bits must be greater than zero");
+ return NULL;
+ }
+
+ bytes = ((k - 1) / 32 + 1) * 4;
+ bytearray = (unsigned char *)PyMem_Malloc(bytes);
+ if (bytearray == NULL) {
+ PyErr_NoMemory();
+ return NULL;
+ }
+
+ /* Fill-out whole words, byte-by-byte to avoid endianness issues */
+ for (i=0 ; i<bytes ; i+=4, k-=32) {
+ r = genrand_int32(self);
+ if (k < 32)
+ r >>= (32 - k);
+ bytearray[i+0] = (unsigned char)r;
+ bytearray[i+1] = (unsigned char)(r >> 8);
+ bytearray[i+2] = (unsigned char)(r >> 16);
+ bytearray[i+3] = (unsigned char)(r >> 24);
+ }
+
+ /* little endian order to match bytearray assignment order */
+ result = _PyLong_FromByteArray(bytearray, bytes, 1, 0);
+ PyMem_Free(bytearray);
+ return result;
+}
+
+static PyObject *
+random_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
+{
+ RandomObject *self;
+ PyObject *tmp;
+
+ if (type == &Random_Type && !_PyArg_NoKeywords("Random()", kwds))
+ return NULL;
+
+ self = (RandomObject *)type->tp_alloc(type, 0);
+ if (self == NULL)
+ return NULL;
+ tmp = random_seed(self, args);
+ if (tmp == NULL) {
+ Py_DECREF(self);
+ return NULL;
+ }
+ Py_DECREF(tmp);
+ return (PyObject *)self;
+}
+
+static PyMethodDef random_methods[] = {
+ {"random", (PyCFunction)random_random, METH_NOARGS,
+ PyDoc_STR("random() -> x in the interval [0, 1).")},
+ {"seed", (PyCFunction)random_seed, METH_VARARGS,
+ PyDoc_STR("seed([n]) -> None. Defaults to current time.")},
+ {"getstate", (PyCFunction)random_getstate, METH_NOARGS,
+ PyDoc_STR("getstate() -> tuple containing the current state.")},
+ {"setstate", (PyCFunction)random_setstate, METH_O,
+ PyDoc_STR("setstate(state) -> None. Restores generator state.")},
+ {"jumpahead", (PyCFunction)random_jumpahead, METH_O,
+ PyDoc_STR("jumpahead(int) -> None. Create new state from "
+ "existing state and integer.")},
+ {"getrandbits", (PyCFunction)random_getrandbits, METH_VARARGS,
+ PyDoc_STR("getrandbits(k) -> x. Generates a long int with "
+ "k random bits.")},
+ {NULL, NULL} /* sentinel */
+};
+
+PyDoc_STRVAR(random_doc,
+"Random() -> create a random number generator with its own internal state.");
+
+static PyTypeObject Random_Type = {
+ PyVarObject_HEAD_INIT(NULL, 0)
+ "_random.Random", /*tp_name*/
+ sizeof(RandomObject), /*tp_basicsize*/
+ 0, /*tp_itemsize*/
+ /* methods */
+ 0, /*tp_dealloc*/
+ 0, /*tp_print*/
+ 0, /*tp_getattr*/
+ 0, /*tp_setattr*/
+ 0, /*tp_compare*/
+ 0, /*tp_repr*/
+ 0, /*tp_as_number*/
+ 0, /*tp_as_sequence*/
+ 0, /*tp_as_mapping*/
+ 0, /*tp_hash*/
+ 0, /*tp_call*/
+ 0, /*tp_str*/
+ PyObject_GenericGetAttr, /*tp_getattro*/
+ 0, /*tp_setattro*/
+ 0, /*tp_as_buffer*/
+ Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /*tp_flags*/
+ random_doc, /*tp_doc*/
+ 0, /*tp_traverse*/
+ 0, /*tp_clear*/
+ 0, /*tp_richcompare*/
+ 0, /*tp_weaklistoffset*/
+ 0, /*tp_iter*/
+ 0, /*tp_iternext*/
+ random_methods, /*tp_methods*/
+ 0, /*tp_members*/
+ 0, /*tp_getset*/
+ 0, /*tp_base*/
+ 0, /*tp_dict*/
+ 0, /*tp_descr_get*/
+ 0, /*tp_descr_set*/
+ 0, /*tp_dictoffset*/
+ 0, /*tp_init*/
+ 0, /*tp_alloc*/
+ random_new, /*tp_new*/
+ _PyObject_Del, /*tp_free*/
+ 0, /*tp_is_gc*/
+};
+
+PyDoc_STRVAR(module_doc,
+"Module implements the Mersenne Twister random number generator.");
+
+PyMODINIT_FUNC
+init_random(void)
+{
+ PyObject *m;
+
+ if (PyType_Ready(&Random_Type) < 0)
+ return;
+ m = Py_InitModule3("_random", NULL, module_doc);
+ if (m == NULL)
+ return;
+ Py_INCREF(&Random_Type);
+ PyModule_AddObject(m, "Random", (PyObject *)&Random_Type);
+}