Bindings for Gaussian CDF atom (#6)

* bindings

* bump version to 0.1.5 and update SparseDiffEngine submodule

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: dance858

SparseDiffEngine

@@ -4,7 +4,7 @@ build-backend = "scikit_build_core.build"
 
 [project]
 name = "sparsediffpy"
-version = "0.1.4"
+version = "0.1.5"
 description = "Python bindings for SparseDiffEngine automatic differentiation"
 requires-python = ">=3.11"
 dependencies = ["numpy >= 2.0.0"]

pyproject.toml

@@ -0,0 +1,30 @@
+#ifndef ATOM_NORMAL_CDF_H
+#define ATOM_NORMAL_CDF_H
+
+#include "common.h"
+
+static PyObject *py_make_normal_cdf(PyObject *self, PyObject *args)
+{
+    PyObject *child_capsule;
+    if (!PyArg_ParseTuple(args, "O", &child_capsule))
+    {
+        return NULL;
+    }
+    expr *child = (expr *) PyCapsule_GetPointer(child_capsule, EXPR_CAPSULE_NAME);
+    if (!child)
+    {
+        PyErr_SetString(PyExc_ValueError, "invalid child capsule");
+        return NULL;
+    }
+
+    expr *node = new_normal_cdf(child);
+    if (!node)
+    {
+        PyErr_SetString(PyExc_RuntimeError, "failed to create normal_cdf node");
+        return NULL;
+    }
+    expr_retain(node); /* Capsule owns a reference */
+    return PyCapsule_New(node, EXPR_CAPSULE_NAME, expr_capsule_destructor);
+}
+
+#endif /* ATOM_NORMAL_CDF_H */

sparsediffpy/_bindings/atoms/normal_cdf.h

@@ -25,6 +25,7 @@
 #include "atoms/matmul.h"
 #include "atoms/multiply.h"
 #include "atoms/neg.h"
+#include "atoms/normal_cdf.h"
 #include "atoms/power.h"
 #include "atoms/prod.h"
 #include "atoms/prod_axis_one.h"
@@ -83,6 +84,7 @@ static PyMethodDef DNLPMethods[] = {
      "e2, ...], n_vars))"},
     {"make_sum", py_make_sum, METH_VARARGS, "Create sum node"},
     {"make_neg", py_make_neg, METH_VARARGS, "Create neg node"},
+    {"make_normal_cdf", py_make_normal_cdf, METH_VARARGS, "Create normal_cdf node"},
     {"make_promote", py_make_promote, METH_VARARGS, "Create promote node"},
     {"make_multiply", py_make_multiply, METH_VARARGS,
      "Create elementwise multiply node"},