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- Fix incorrect printf format specifier (-Wformat)
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* fann.c: In function ‘fann_print_connections’:
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* fann.c:889:11: warning: format ‘%d’ expects argument of type ‘int’, but argument 2 has type ‘long int’ [-Wformat=]
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* printf("L %3d / N %4d %s\n", layer_it - ann->first_layer,
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- Fix erroneous memset call
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* md5.c: In function ‘MD5Final’:
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* md5.c:152:26: warning: argument to ‘sizeof’ in ‘memset’ call is the same expression as the destination; did you mean to dereference it? [-Wsizeof-pointer-memaccess]
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* memset(ctx, 0, sizeof(ctx)); /* In case it's sensitive */
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--- a/fann-2.1.0/fann.c
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+++ b/fann-2.1.0/fann.c
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@@ -886,7 +886,7 @@
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neurons[ann->connections[i] - ann->first_layer->first_neuron] = (char)('A' + value);
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}
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}
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- printf("L %3d / N %4d %s\n", layer_it - ann->first_layer,
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+ printf("L %3ld / N %4ld %s\n", layer_it - ann->first_layer,
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neuron_it - ann->first_layer->first_neuron, neurons);
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}
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}
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@@ -987,12 +987,12 @@
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{
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if(ann->network_type == FANN_NETTYPE_SHORTCUT)
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{
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- printf(" Hidden layer :%4d neurons, 0 bias\n",
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+ printf(" Hidden layer :%4ld neurons, 0 bias\n",
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layer_it->last_neuron - layer_it->first_neuron);
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}
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else
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{
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- printf(" Hidden layer :%4d neurons, 1 bias\n",
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+ printf(" Hidden layer :%4ld neurons, 1 bias\n",
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layer_it->last_neuron - layer_it->first_neuron - 1);
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}
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}
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--- a/fann-2.1.0/fann_io.c
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+++ b/fann-2.1.0/fann_io.c
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@@ -174,7 +174,7 @@
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#endif
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/* Save network parameters */
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- fprintf(conf, "num_layers=%u\n", ann->last_layer - ann->first_layer);
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+ fprintf(conf, "num_layers=%ld\n", ann->last_layer - ann->first_layer);
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fprintf(conf, "learning_rate=%f\n", ann->learning_rate);
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fprintf(conf, "connection_rate=%f\n", ann->connection_rate);
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fprintf(conf, "network_type=%u\n", ann->network_type);
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@@ -236,7 +236,7 @@
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for(layer_it = ann->first_layer; layer_it != ann->last_layer; layer_it++)
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{
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/* the number of neurons in the layers (in the last layer, there is always one too many neurons, because of an unused bias) */
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- fprintf(conf, "%u ", layer_it->last_neuron - layer_it->first_neuron);
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+ fprintf(conf, "%ld ", layer_it->last_neuron - layer_it->first_neuron);
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}
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fprintf(conf, "\n");
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@@ -316,14 +316,14 @@
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if(save_as_fixed)
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{
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/* save the connection "(source weight) " */
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- fprintf(conf, "(%u, %d) ",
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+ fprintf(conf, "(%ld, %d) ",
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connected_neurons[i] - first_neuron,
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(int) floor((weights[i] * fixed_multiplier) + 0.5));
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}
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else
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{
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/* save the connection "(source weight) " */
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- fprintf(conf, "(%u, " FANNPRINTF ") ", connected_neurons[i] - first_neuron, weights[i]);
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+ fprintf(conf, "(%ld, " FANNPRINTF ") ", connected_neurons[i] - first_neuron, weights[i]);
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}
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#else
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/* save the connection "(source weight) " */
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--- a/CommonSource/Utilities/md5.c
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+++ b/CommonSource/Utilities/md5.c
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@@ -149,7 +149,7 @@
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MD5Transform(ctx->buf, (uint32 *) ctx->in);
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byteReverse((unsigned char *) ctx->buf, 4);
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memcpy(digest, ctx->buf, 16);
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- memset(ctx, 0, sizeof(ctx)); /* In case it's sensitive */
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+ memset(ctx, 0, sizeof(*ctx)); /* In case it's sensitive */
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}
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