f5b571412f
Phase 3 (S1, S5, S6, S25, L11, L37, ST11, ST12). Behaviour-preserving by construction: the diff on the generated directories is PURELY ADDITIVE (217 insertions, 0 deletions), so no emitted constant changed value. This moves where truth lives; it does not change what truth says. - S5: nine mode headers each carried a mechanically identical 12-field positional ParamSchema aggregate. codegen now emits one `inline constexpr ParamSchema k<Mode>Schema` per mode, and the struct itself moved into generated/schema_types.hpp. Each param_schema() is a one-line return. - S6 + S25: every mode hand-typed its net shape a second time as MLP template args, duplicating the schema's own dims. codegen emits a `<Mode>MLP` alias built from the already-emitted constants (not re-literalled), and all nine modes use it. NMaxExamples still defaults from kDefaultMaxExamples (Phase 2). - S1: model.ts hand-imported all nine schemas by name and hand-paired each with its overlay — so the SET of modes was hand-maintained and could silently drift from codegen. codegen now emits ALL_MODE_SCHEMAS; SCHEMA_MODE_OVERLAYS is purely display truth (label/glyph/css/order), which stays hand-curated. - L37: deleted the hand-written modeEngineId switch, which duplicated schema.engine_id and silently defaulted unknown modes to 'thru'. Routes on MFMode.engineId with exactly one documented exception: sound_analysis_midi declares engine_id 'thru' because its ModeBase audio slot really is NoOpEngine, while it separately drives the real AnalysisEngine. - L11: ExternalSynthMIDIMode's shape was literal in two places; now named once in an ext_synth_defaults namespace with an ExtSynthMIDIMLP alias. Full folding into the JSON pipeline is NOT done and the reason is recorded in-file: it is a template family over an externally-supplied Device and variable NOut, with no single (device, NOut) schema to author. - ST12: extracted codegen/lib.ts for the helpers both generators duplicated, and corrected the comment that claimed they had to be separate. Proof the extraction was behaviour-free: regenerating the MIDI-device outputs produces a byte-identical tree. - ST11: deleted codegen/templates/ — dead "reference" files no generator reads, already drifted from the real emitters. Gates: run-all-tests.sh ALL GREEN; codegen idempotent (re-running both generators yields no further diff), which is what CI's dirty-diff gate checks.
289 lines
5.5 KiB
C++
289 lines
5.5 KiB
C++
// AUTOGENERATED — do not edit. Source: schemas/modes/channel_strip.json. Run `bun run codegen/generate.ts` to regenerate.
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#ifndef NISPS_GENERATED_CHANNEL_STRIP_SCHEMA_HPP
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#define NISPS_GENERATED_CHANNEL_STRIP_SCHEMA_HPP
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#include "schema_types.hpp"
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#include "../../ml/mlp.hpp"
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namespace nisps::modes::generated {
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inline constexpr std::string_view kChannelStripModeId = "channel_strip";
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inline constexpr std::string_view kChannelStripEngineId = "channel_strip";
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inline constexpr std::array<std::string_view, 4> kChannelStripInputChannels = {{
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"joy_x",
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"joy_y",
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"joy_z",
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"joy_w",
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}};
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inline constexpr std::array<std::size_t, 3> kChannelStripHiddenLayers = {{
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10u,
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10u,
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14u,
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}};
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inline constexpr MLConfig kChannelStripMLConfig = {
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4u,
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24u,
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0.6f,
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1.0f,
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1000u,
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};
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inline constexpr std::size_t kChannelStripParamCount = 24u;
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inline constexpr std::array<Param, kChannelStripParamCount> kChannelStripParams = {{
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Param{
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"pre_gain",
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"Pre Gain",
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0.0f,
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1.0f,
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0.5f,
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Curve::square,
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"gain",
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},
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Param{
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"peak0_freq",
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"Peak0 Freq",
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0.0f,
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1.0f,
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0.3f,
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Curve::square,
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"eq",
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},
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Param{
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"p02",
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"Param 02",
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0.0f,
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1.0f,
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0.5f,
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Curve::linear,
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"general",
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},
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Param{
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"p03",
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"Param 03",
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0.0f,
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1.0f,
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0.5f,
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Curve::linear,
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"general",
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},
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Param{
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"peak1_freq",
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"Peak1 Freq",
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0.0f,
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1.0f,
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0.3f,
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Curve::square,
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"eq",
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},
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Param{
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"peak_q",
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"Peak Q",
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0.0f,
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1.0f,
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0.3f,
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Curve::linear,
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"eq",
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},
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Param{
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"peak_gain",
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"Peak Gain",
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0.0f,
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1.0f,
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0.5f,
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Curve::linear,
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"eq",
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},
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Param{
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"in_lpf_cutoff",
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"Input LPF",
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0.0f,
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1.0f,
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0.7f,
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Curve::square,
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"filters",
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},
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Param{
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"in_hpf_cutoff",
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"Input HPF",
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0.0f,
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1.0f,
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0.2f,
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Curve::square,
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"filters",
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},
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Param{
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"p09",
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"Param 09",
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0.0f,
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1.0f,
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0.5f,
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Curve::linear,
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"general",
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},
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Param{
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"comp_threshold",
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"Comp Threshold",
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0.0f,
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1.0f,
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0.0f,
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Curve::linear,
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"comp",
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},
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Param{
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"comp_ratio",
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"Comp Ratio",
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0.0f,
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1.0f,
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0.0f,
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Curve::linear,
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"comp",
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},
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Param{
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"comp_attack",
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"Comp Attack",
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0.0f,
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1.0f,
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0.1f,
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Curve::linear,
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"comp",
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},
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Param{
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"comp_release",
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"Comp Release",
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0.0f,
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1.0f,
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0.3f,
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Curve::square,
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"comp",
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},
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Param{
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"lowshelf_freq",
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"Lowshelf Freq",
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0.0f,
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1.0f,
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0.3f,
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Curve::square,
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"eq",
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},
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Param{
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"lowshelf_q",
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"Lowshelf Q",
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0.0f,
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1.0f,
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0.3f,
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Curve::linear,
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"eq",
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},
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Param{
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"lowshelf_gain",
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"Lowshelf Gain",
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0.0f,
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1.0f,
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0.5f,
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Curve::linear,
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"eq",
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},
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Param{
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"highshelf_freq",
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"Highshelf Freq",
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0.0f,
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1.0f,
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0.3f,
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Curve::square,
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"eq",
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},
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Param{
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"highshelf_q",
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"Highshelf Q",
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0.0f,
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1.0f,
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0.3f,
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Curve::linear,
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"eq",
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},
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Param{
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"highshelf_gain",
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"Highshelf Gain",
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0.0f,
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1.0f,
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0.5f,
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Curve::linear,
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"eq",
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},
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Param{
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"p20",
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"Param 20",
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0.0f,
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1.0f,
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0.5f,
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Curve::linear,
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"general",
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},
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Param{
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"p21",
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"Param 21",
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0.0f,
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1.0f,
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0.5f,
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Curve::linear,
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"general",
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},
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Param{
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"p22",
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"Param 22",
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0.0f,
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1.0f,
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0.5f,
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Curve::linear,
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"general",
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},
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Param{
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"post_gain",
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"Post Gain",
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0.0f,
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1.0f,
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0.5f,
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Curve::square,
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"gain",
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},
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}};
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inline constexpr std::size_t kChannelStripVoiceSpaceCount = 6u;
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inline constexpr std::array<std::string_view, kChannelStripVoiceSpaceCount> kChannelStripVoiceSpaces = {{
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"WannabeNeve66",
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"SSL 4K G-ist",
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"SSL 9K-inda",
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"MaleVox",
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"FemaleVox",
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"Neve 80",
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}};
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inline constexpr UIConfig kChannelStripUI = {
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PrimaryInput::Joystick,
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true,
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false,
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};
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using ChannelStripMLP = ::nisps::ml::MLP<kChannelStripMLConfig.input_size, kChannelStripHiddenLayers[0], kChannelStripHiddenLayers[1], kChannelStripHiddenLayers[2], kChannelStripMLConfig.output_size>;
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inline constexpr ::nisps::ParamSchema kChannelStripSchema = {
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kChannelStripModeId,
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kChannelStripEngineId,
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std::span<const std::string_view>(kChannelStripInputChannels),
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kChannelStripMLConfig.input_size,
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std::span<const std::size_t>(kChannelStripHiddenLayers),
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kChannelStripMLConfig.output_size,
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kChannelStripMLConfig.default_spread,
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kChannelStripMLConfig.default_learning_rate,
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kChannelStripMLConfig.default_max_iterations,
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std::span<const Param>(kChannelStripParams),
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std::span<const std::string_view>(kChannelStripVoiceSpaces),
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kChannelStripUI,
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};
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} // namespace nisps::modes::generated
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#endif // NISPS_GENERATED_CHANNEL_STRIP_SCHEMA_HPP
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