--- /dev/null
+/*
+ * mlp-mnist is an implementation of a multi-layer neural network.
+ *
+ * Copyright (c) 2008 Idiap Research Institute, http://www.idiap.ch/
+ * Written by Francois Fleuret <francois.fleuret@idiap.ch>
+ *
+ * This file is part of mlp-mnist.
+ *
+ * mlp-mnist is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License version 3 as
+ * published by the Free Software Foundation.
+ *
+ * mlp-mnist is distributed in the hope that it will be useful, but
+ * WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+ * General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with mlp-mnist. If not, see <http://www.gnu.org/licenses/>.
+ *
+ */
+
+#ifndef MISC_H
+#define MISC_H
+
+#ifdef DEBUG
+#define ASSERT(x, s) if(!(x)) { std::cerr << "ASSERT FAILED IN " << __FILE__ << ":" << __LINE__ << " [" << (s) << "]\n"; abort(); }
+#else
+#define ASSERT(x, s)
+#endif
+
+typedef float scalar_t;
+
+template<class T> T sq(T x) { return x*x; }
+
+template<class T> T pos(T x) { if(x < 0) return 0.0; else return x; }
+
+struct Couple {
+ int index;
+ double value;
+};
+
+int compare_couple(const void *a, const void *b);
+
+int factorial(int k);
+
+#endif