crosstyan
1005e50be0
Move scheme and PID training runtime behavior into the pure track_core layer and expose render sinks for injected strip application. Add ESP compatibility adapters, Python bindings/test scaffolding, and in-memory render support so app_track_bt can consume core render and runtime logic without duplicating it. Cover circular/linear rendering boundaries, all scheme runtime types, scheme render_to parity, PID sample de-duplication, speed suppression, and live tuning in track-core tests.
53 lines
1005 B
C++
53 lines
1005 B
C++
#pragma once
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#include <cstddef>
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#include <cstdint>
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#include <vector>
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#include "track_core/model.hpp"
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#include "track_core/render.hpp"
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namespace track_core {
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class MemoryStrip {
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public:
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explicit MemoryStrip(std::size_t led_count = 0);
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[[nodiscard]]
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TrackError begin();
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[[nodiscard]]
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TrackError clear();
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[[nodiscard]]
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TrackError fill(std::size_t start, std::size_t count, Color color);
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[[nodiscard]]
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TrackError show();
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[[nodiscard]]
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TrackError set_leds_count(std::size_t count);
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[[nodiscard]]
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std::size_t leds_count() const;
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[[nodiscard]]
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std::uint64_t frame_sequence() const;
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[[nodiscard]]
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std::span<const Color> pixels() const;
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private:
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std::vector<Color> pixels_;
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std::uint64_t frame_sequence_{};
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bool begun_{};
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};
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[[nodiscard]]
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TrackError apply_render_plan(MemoryStrip &strip, const TrackRenderPlan &plan);
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[[nodiscard]]
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TrackRenderSink make_memory_strip_sink(MemoryStrip &strip);
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} // namespace track_core
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