/** The shipped classifier source and the starting point for a custom one. */
import silenceGapKnnSrc from './silence_gap_knn.m?raw';

export const DEFAULT_CLASSIFIER_NAME = 'silence_gap_knn';
export const DEFAULT_CLASSIFIER_SOURCE = silenceGapKnnSrc;

export const CUSTOM_CLASSIFIER_TEMPLATE = `function [times, labels] = my_classifier(x, fs, training)
% x         the take, column vector at fs Hz (16 kHz)
% training  struct: snips {1 x nVoices} cell of [snipLen x nSnips]
%           matrices (columns are training snippets), names {1 x nVoices},
%           pre (samples before the hit onset within each snippet)
% Return column vectors: hit times in seconds and 1-based voice indices.
% The same interface as the audio-spike-sorting benchmark, so an
% algorithm developed there drops in here unchanged.
times = zeros(0, 1);
labels = zeros(0, 1);
end
`;