Copying Bio-python to globplot to satisfy the dependency
[jabaws.git] / binaries / src / globplot / biopython-1.50 / Bio / cMarkovModelmodule.c
1 /* cMarkovModelmodule.c
2  * jchang
3  * Created: 1/13/01
4  * Last modified: 11/26/02
5  *
6  * This optimizes some of the functions in MarkovModel.py.
7  */
8
9 #include "Python.h"
10 #include "csupport.h"
11
12
13 /* Functions in this module. */
14
15 static char cMarkovModel__logadd__doc__[] = 
16 "_logadd(logx, logy) -> log(x+y)\n";
17
18 static PyObject *cMarkovModel__logadd(PyObject *self, PyObject *args)
19 {
20     PyObject *py_logx, *py_logy;
21     double logx, logy, minxy;
22     double sum;
23
24     if(!PyArg_ParseTuple(args, "OO", &py_logx, &py_logy))
25         return NULL;
26     logx = PyNumber_AsDouble(py_logx);
27     logy = PyNumber_AsDouble(py_logy);
28     if(PyErr_Occurred())
29         return NULL;
30
31     if(logy-logx > 100.0) {
32         Py_INCREF(py_logy);
33         return py_logy;
34     } else if (logx-logy > 100.0) {
35         Py_INCREF(py_logx);
36         return py_logx;
37     }
38     minxy = (logx < logy) ? logx : logy;
39     sum = minxy + log(exp(logx-minxy) + exp(logy-minxy));
40     return PyFloat_FromDouble(sum);
41 }
42         
43
44 /* Module definition stuff */
45
46 static PyMethodDef CMarkovModelMethods[] = {
47   {"_logadd", cMarkovModel__logadd, METH_VARARGS, cMarkovModel__logadd__doc__},
48   {NULL, NULL}
49 };
50
51 static char cMarkovModel__doc__[] =
52 "This module provides optimized replacement functions for MarkovModel.\n\
53 ";
54
55 void initcMarkovModel(void)
56 {
57   Py_InitModule3("cMarkovModel", CMarkovModelMethods, cMarkovModel__doc__);
58 }
59
60
61