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https://github.com/mikeoliphant/neural-amp-modeler-lv2.git
synced 2026-05-07 04:00:09 +02:00
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+3
-2
@@ -27,7 +27,7 @@ static LV2_Handle instantiate(const LV2_Descriptor*, double rate, const char*, c
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return nullptr;
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}
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catch(const std::exception& e)
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catch(const std::exception)
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{
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return nullptr;
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}
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@@ -36,7 +36,8 @@ static LV2_Handle instantiate(const LV2_Descriptor*, double rate, const char*, c
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static void connect_port(LV2_Handle instance, uint32_t port, void* data)
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{
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auto nam = static_cast<NAM::Plugin*>(instance);
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*(reinterpret_cast<void**>(&nam->ports)+port) = data;
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*(reinterpret_cast<void**>(&nam->ports)+port) = data;
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}
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static void activate(LV2_Handle) {}
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+5
-2
@@ -25,7 +25,8 @@ namespace NAM {
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// for fetching initial options, can be null
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LV2_Options_Option* options = nullptr;
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for (size_t i = 0; features[i]; ++i) {
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for (size_t i = 0; features[i]; ++i)
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{
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if (std::string(features[i]->URI) == std::string(LV2_URID__map))
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map = static_cast<LV2_URID_Map*>(features[i]->data);
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else if (std::string(features[i]->URI) == std::string(LV2_WORKER__schedule))
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@@ -144,6 +145,7 @@ namespace NAM {
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{
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auto msg = static_cast<const LV2FreeModelMsg*>(data);
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delete msg->model;
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return LV2_WORKER_SUCCESS;
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}
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@@ -300,7 +302,8 @@ namespace NAM {
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lv2_log_trace(&nam->logger, "Saving state\n");
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if (!nam->currentModel) {
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if (!nam->currentModel)
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{
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return LV2_STATE_SUCCESS;
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}
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@@ -114,7 +114,6 @@ namespace NAM {
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LV2_Atom_Forge atom_forge = {};
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LV2_Atom_Forge_Frame sequence_frame;
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float m_rate;
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float inputLevel = 0;
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float outputLevel = 0;
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int32_t maxBufferSize = 0;
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