@datagrok-libraries/statistics - npm Package Compare versions

Comparing version 1.2.13 to 1.3.0

.eslintrc.json

@@ -25,2 +25,3 @@ {
 		"linebreak-style": "off",
+		"brace-style": "off",
 		"curly": [
@@ -27,0 +28,0 @@ "error",

CHANGELOG.md

 # statistics changelog
 
+## 1.3.0 (2024-05-11)
+
+### Features
+
+* [#2797](https://github.com/datagrok-ai/public/issues/2797): Changed optimizer for fitting
+
 ## 1.2.13 (2024-04-18)
@@ -4,0 +10,0 @@

package.json

@@ -7,3 +7,3 @@ {
   "friendlyName": "statistics",
-  "version": "1.2.13",
+  "version": "1.3.0",
   "description": "Statistics utilities",
@@ -10,0 +10,0 @@ "dependencies": {

README.md

 # statistics
 
 Statistics provides fitting support for all kind of processes along with statistical features.
-Library uses optimization [lbfgs](https://github.com/mimno/jsLBFGS) algorithm.

src/correlation-coefficient.js

@@ -95,2 +95,2 @@ /**
 }
-//# 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+//# 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

src/fit/fit-curve.d.ts

@@ -5,2 +5,3 @@ import * as DG from 'datagrok-api/dg';
     PROPORTIONAL: string;
+    COMBINED: string;
 };
@@ -21,3 +22,3 @@ export declare type FitParamBounds = {
     fittedCurve: (x: number) => number;
-    parameters: number[];
+    parameters: Float32Array;
 };
@@ -31,7 +32,7 @@ export declare type FitConfidenceIntervals = {
     auc?: number;
-    interceptX: number;
-    interceptY: number;
-    slope: number;
-    top: number;
-    bottom: number;
+    interceptX?: number;
+    interceptY?: number;
+    slope?: number;
+    top?: number;
+    bottom?: number;
 };
@@ -43,36 +44,5 @@ export declare type FitInvertedFunctions = {
 };
-/**
- *  Datagrok curve fitting
- *
- * - Fitting: computing parameters of the specified function to best fit the data
- *   - Uses BFGS optimization algorithm (multi-threading for performance).
- *     For dose-response curves, we are typically fitting the sigmoid function
- *   - Ability to dynamically register custom fitting functions
- *     - Automatic fit function determination
- *     - Caching of custom fitting functions
- *   - Ability to get fitting performance characteristics (r-squared, classification, etc)
- * - Deep integration with the Datagrok grid
- *   - Either fitting on the fly, or using the supplied function + parameters
- *   - Multiple series in one cell
- *   - Candlesticks, confidence intervals, and droplines drawing
- *   - Ability to define chart, marker, or fitting options (such as fit function or marker color)
- *     on the column level, with the ability to override it on a grid cell or point level
- *   - Clicking a point in a chart within a grid makes it an outlier -> curve is re-fitted on the fly
- *   - Ability to specify a chart as "reference" so that it is shown on every other chart for comparison
- * - Ability to overlay curves from multiple grid cells (special viewer)
- * - Work with series stored in multiple formats (binary for performance, json for flexibility, etc)
-*/
-export declare const FIT_SEM_TYPE = "fit";
-export declare const FIT_CELL_TYPE = "fit";
-export declare const TAG_FIT = ".fit";
-export declare const CONFIDENCE_INTERVAL_STROKE_COLOR = "rgba(255,191,63,0.4)";
-export declare const CONFIDENCE_INTERVAL_FILL_COLOR = "rgba(255,238,204,0.3)";
-export declare const CURVE_CONFIDENCE_INTERVAL_BOUNDS: {
-    TOP: string;
-    BOTTOM: string;
-};
-export declare const DROPLINES: string[];
 export declare type FitMarkerType = 'asterisk' | 'circle' | 'cross border' | 'diamond' | 'square' | 'star' | 'triangle bottom' | 'triangle left' | 'triangle right' | 'triangle top';
 export declare type FitLineStyle = 'solid' | 'dotted' | 'dashed' | 'dashdotted';
-export declare type FitErrorModelType = 'constant' | 'proportional';
+export declare type FitErrorModelType = 'constant' | 'proportional' | 'combined';
 /** A point in the fit series. Only x and y are required. Can override some fields defined in IFitSeriesOptions. */
@@ -153,12 +123,2 @@ export interface IFitPoint {
 }
-/** Properties that describe {@link FitStatistics}. Useful for editing, initialization, transformations, etc. */
-export declare const statisticsProperties: DG.Property[];
-/** Properties that describe {@link IFitChartOptions}. Useful for editing, initialization, transformations, etc. */
-export declare const fitChartDataProperties: DG.Property[];
-/** Properties that describe {@link IFitSeriesOptions}. Useful for editing, initialization, transformations, etc. */
-export declare const fitSeriesProperties: DG.Property[];
-export declare const FIT_FUNCTION_SIGMOID = "sigmoid";
-export declare const FIT_FUNCTION_LINEAR = "linear";
-export declare const FIT_STATS_RSQUARED = "rSquared";
-export declare const FIT_STATS_AUC = "auc";
 /** Class for the fit functions */
@@ -168,4 +128,4 @@ export declare abstract class FitFunction {
     abstract get parameterNames(): string[];
-    abstract y(params: number[], x: number): number;
-    abstract getInitialParameters(x: number[], y: number[]): number[];
+    abstract y(params: Float32Array, x: number): number;
+    abstract getInitialParameters(x: number[], y: number[]): Float32Array;
 }
@@ -176,4 +136,4 @@ /** Class that implements the linear function */
     get parameterNames(): string[];
-    y(params: number[], x: number): number;
-    getInitialParameters(x: number[], y: number[]): number[];
+    y(params: Float32Array, x: number): number;
+    getInitialParameters(x: number[], y: number[]): Float32Array;
 }
@@ -184,4 +144,4 @@ /** Class that implements the sigmoid function */
     get parameterNames(): string[];
-    y(params: number[], x: number): number;
-    getInitialParameters(x: number[], y: number[]): number[];
+    y(params: Float32Array, x: number): number;
+    getInitialParameters(x: number[], y: number[]): Float32Array;
 }
@@ -192,7 +152,7 @@ /** Class that implements user JS functions */
     private _parameterNames;
-    constructor(name: string, yFunc: (params: number[], x: number) => number, getInitParamsFunc: (x: number[], y: number[]) => number[], parameterNames: string[]);
+    constructor(name: string, yFunc: (params: Float32Array, x: number) => number, getInitParamsFunc: (x: number[], y: number[]) => Float32Array, parameterNames: string[]);
     get name(): string;
     get parameterNames(): string[];
-    y(params: number[], x: number): number;
-    getInitialParameters(x: number[], y: number[]): number[];
+    y(params: Float32Array, x: number): number;
+    getInitialParameters(x: number[], y: number[]): Float32Array;
 }
@@ -202,7 +162,12 @@ export declare const fitFunctions: {
 };
-export interface IFitOptions {
-    errorModel: FitErrorModelType;
-    confidenceLevel: number;
-    statistics: boolean;
-}
+/** Properties that describe {@link FitStatistics}. Useful for editing, initialization, transformations, etc. */
+export declare const statisticsProperties: DG.Property[];
+/** Properties that describe {@link IFitChartOptions}. Useful for editing, initialization, transformations, etc. */
+export declare const fitChartDataProperties: DG.Property[];
+/** Properties that describe {@link IFitSeriesOptions}. Useful for editing, initialization, transformations, etc. */
+export declare const fitSeriesProperties: DG.Property[];
+export declare const FIT_FUNCTION_SIGMOID = "sigmoid";
+export declare const FIT_FUNCTION_LINEAR = "linear";
+export declare const FIT_STATS_RSQUARED = "rSquared";
+export declare const FIT_STATS_AUC = "auc";
 export declare function getOrCreateFitFunction(seriesFitFunc: string | IFitFunctionDescription): FitFunction;
@@ -213,11 +178,11 @@ export declare function fitData(data: {
 }, fitFunction: FitFunction, errorModel: FitErrorModelType, parameterBounds?: FitParamBounds[]): FitCurve;
-export declare function getFittedCurve(curveFunction: (params: number[], x: number) => number, paramValues: number[]): (x: number) => number;
+export declare function getFittedCurve(curveFunction: (params: Float32Array, x: number) => number, paramValues: Float32Array): (x: number) => number;
 export declare function getCurveConfidenceIntervals(data: {
     x: number[];
     y: number[];
-}, paramValues: number[], curveFunction: (params: number[], x: number) => number, confidenceLevel: number | undefined, errorModel: FitErrorModelType): FitConfidenceIntervals;
+}, paramValues: Float32Array, curveFunction: (params: Float32Array, x: number) => number, confidenceLevel: number | undefined, errorModel: FitErrorModelType): FitConfidenceIntervals;
 export declare function getStatistics(data: {
     x: number[];
     y: number[];
-}, paramValues: number[], curveFunction: (params: number[], x: number) => number, statistics?: boolean): FitStatistics;
+}, paramValues: Float32Array, curveFunction: (params: Float32Array, x: number) => number, statistics?: boolean): FitStatistics;
 export declare function getInvertedFunctions(data: {
@@ -227,4 +192,4 @@ x: number[];
 }, paramValues: number[], confidenceLevel?: number, statistics?: boolean): FitInvertedFunctions | null;
-export declare function sigmoid(params: number[], x: number): number;
-export declare function linear(params: number[], x: number): number;
+export declare function sigmoid(params: Float32Array, x: number): number;
+export declare function linear(params: Float32Array, x: number): number;
 export declare function getAuc(fittedCurve: (x: number) => number, data: {
@@ -231,0 +196,0 @@ x: number[];

src/fit/fit-data.d.ts

@@ -9,6 +9,2 @@ import * as DG from 'datagrok-api/dg';
 export declare function createDefaultChartData(): IFitChartData;
-/** Returns existing, or creates new dataframe default chart options. */
-export declare function getDataFrameChartOptions(df: DG.DataFrame): IFitChartData;
-/** Returns existing, or creates new column default chart options. */
-export declare function getColumnChartOptions(column: DG.Column): IFitChartData;
 /** Returns points arrays from {@link IFitPoint} array */
@@ -15,0 +11,0 @@ export declare function getPointsArrays(points: IFitPoint[]): {

src/fit/fit-data.js

 /* eslint-disable valid-jsdoc */
 import * as DG from 'datagrok-api/dg';
-import { FitErrorModel, fitData, getCurveConfidenceIntervals, getStatistics, getFittedCurve, getOrCreateFitFunction, fitSeriesProperties, fitChartDataProperties, TAG_FIT, } from './fit-curve';
+import { FitErrorModel, fitData, getCurveConfidenceIntervals, getStatistics, getFittedCurve, getOrCreateFitFunction, fitSeriesProperties, fitChartDataProperties, } from './fit-curve';
 /** Creates new object with the default values specified in {@link properties} */
@@ -21,14 +21,2 @@ function createFromProperties(properties) {
 }
-/** Returns existing, or creates new dataframe default chart options. */
-export function getDataFrameChartOptions(df) {
-    var _a;
-    var _b;
-    return JSON.parse((_a = (_b = df.tags)[TAG_FIT]) !== null && _a !== void 0 ? _a : (_b[TAG_FIT] = JSON.stringify(createDefaultChartData())));
-}
-/** Returns existing, or creates new column default chart options. */
-export function getColumnChartOptions(column) {
-    var _a;
-    var _b;
-    return JSON.parse((_a = (_b = column.tags)[TAG_FIT]) !== null && _a !== void 0 ? _a : (_b[TAG_FIT] = JSON.stringify(createDefaultChartData())));
-}
 /** Returns points arrays from {@link IFitPoint} array */
@@ -131,3 +119,6 @@ export function getPointsArrays(points) {
 export function getCurve(series, fitFunc) {
-    return getFittedCurve(fitFunc.y, series.parameters);
+    var _a;
+    const params = new Float32Array((_a = series.parameters) === null || _a === void 0 ? void 0 : _a.length);
+    params.set(series.parameters);
+    return getFittedCurve(fitFunc.y, params);
 }
@@ -145,3 +136,3 @@ /** Fits the series data according to the series fitting settings */
 export function getSeriesConfidenceInterval(series, fitFunc, userParamsFlag, logOptions) {
-    var _a;
+    var _a, _b;
     const data = userParamsFlag ? { x: series.points.map((p) => (logOptions === null || logOptions === void 0 ? void 0 : logOptions.logX) ? Math.log10(p.x) : p.x),
@@ -151,14 +142,23 @@ y: series.points.map((p) => (logOptions === null || logOptions === void 0 ? void 0 : logOptions.logY) ? Math.log10(p.y) : p.y) } :
             y: series.points.filter((p) => !p.outlier).map((p) => (logOptions === null || logOptions === void 0 ? void 0 : logOptions.logY) ? Math.log10(p.y) : p.y) };
-    if (!series.parameters)
-        series.parameters = fitSeries(series, fitFunc).parameters;
-    return getCurveConfidenceIntervals(data, series.parameters, fitFunc.y, 0.05, (_a = series.errorModel) !== null && _a !== void 0 ? _a : FitErrorModel.CONSTANT);
+    if (!series.parameters) {
+        const params = fitSeries(series, fitFunc).parameters;
+        series.parameters = [...params];
+    }
+    const params = new Float32Array((_a = series.parameters) === null || _a === void 0 ? void 0 : _a.length);
+    params.set(series.parameters);
+    return getCurveConfidenceIntervals(data, params, fitFunc.y, 0.05, (_b = series.errorModel) !== null && _b !== void 0 ? _b : FitErrorModel.CONSTANT);
 }
 /** Returns series statistics */
 export function getSeriesStatistics(series, fitFunc, logOptions) {
+    var _a;
     const data = { x: series.points.filter((p) => !p.outlier).map((p) => (logOptions === null || logOptions === void 0 ? void 0 : logOptions.logX) ? Math.log10(p.x) : p.x),
         y: series.points.filter((p) => !p.outlier).map((p) => (logOptions === null || logOptions === void 0 ? void 0 : logOptions.logY) ? Math.log10(p.y) : p.y) };
-    if (!series.parameters)
-        series.parameters = fitSeries(series, fitFunc).parameters;
-    return getStatistics(data, series.parameters, fitFunc.y, true);
+    if (!series.parameters) {
+        const params = fitSeries(series, fitFunc).parameters;
+        series.parameters = [...params];
+    }
+    const params = new Float32Array((_a = series.parameters) === null || _a === void 0 ? void 0 : _a.length);
+    params.set(series.parameters);
+    return getStatistics(data, params, fitFunc.y, true);
 }
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eslint-disable valid-jsdoc */\nimport * as DG from 'datagrok-api/dg';\n\nimport {\n  FitErrorModel,\n  fitData,\n  getCurveConfidenceIntervals,\n  getStatistics,\n  FitFunction,\n  getFittedCurve,\n  FitStatistics,\n  FitConfidenceIntervals,\n  FitCurve,\n  getOrCreateFitFunction,\n  IFitPoint,\n  IFitChartData,\n  IFitSeries,\n  fitSeriesProperties,\n  fitChartDataProperties,\n  TAG_FIT,\n  FitParamBounds,\n  IFitChartOptions,\n  FitErrorModelType,\n} from './fit-curve';\n\nexport type LogOptions = {\n  logX: boolean | undefined,\n  logY: boolean | undefined\n};\n\n\n/** Creates new object with the default values specified in {@link properties} */\nfunction createFromProperties(properties: DG.Property[]): any {\n  const o: any = {};\n  for (const p of properties) {\n    if (p.defaultValue !== null)\n      o[p.name] = p.defaultValue;\n  }\n  return o;\n}\n\n// TODO: set column with fit readonly value (in detectors) - try to only show chart - remove editable or prevent it??\n/** Creates default {@link IFitChartData} object */\nexport function createDefaultChartData(): IFitChartData {\n  return {\n    chartOptions: createFromProperties(fitChartDataProperties),\n    seriesOptions: createFromProperties(fitSeriesProperties),\n  };\n}\n\n/** Returns existing, or creates new dataframe default chart options. */\nexport function getDataFrameChartOptions(df: DG.DataFrame): IFitChartData {\n  return JSON.parse(df.tags[TAG_FIT] ??= JSON.stringify(createDefaultChartData()));\n}\n\n/** Returns existing, or creates new column default chart options. */\nexport function getColumnChartOptions(column: DG.Column): IFitChartData {\n  return JSON.parse(column.tags[TAG_FIT] ??= JSON.stringify(createDefaultChartData()));\n}\n\n/** Returns points arrays from {@link IFitPoint} array */\nexport function getPointsArrays(points: IFitPoint[]): {xs: number[], ys: number[]} {\n  const xs: number[] = [];\n  const ys: number[] = [];\n  for (let i = 0; i < points.length; i++) {\n    xs[i] = points[i].x;\n    ys[i] = points[i].y;\n  }\n  return {xs: xs, ys: ys};\n}\n\n/** Returns median from within multiple points */\nfunction getMedian(points: {x: number[], y: number[]}): number {\n  const mid = Math.floor(points.y.length / 2);\n  const sortedPoints = points.y.sort((a, b) => a - b);\n  const median = sortedPoints.length % 2 === 0 ? (sortedPoints[mid - 1] + sortedPoints[mid]) / 2 : sortedPoints[mid];\n  return median;\n}\n\n/** Returns median points from within multiple points with the same x. */\nfunction getMedianPoints(data: {x: number[], y: number[]}): {x: number[], y: number[]} {\n  const medianPoints: {x: number[], y: number[]} = {x: [], y: []};\n  const currentPoints: {x: number[], y: number[]} = {x: [data.x[0]], y: [data.y[0]]};\n  for (let i = 1; i < data.x.length; i++) {\n    if (data.x[i] === currentPoints.x[0]) {\n      currentPoints.x[currentPoints.x.length] = data.x[i];\n      currentPoints.y[currentPoints.y.length] = data.y[i];\n      continue;\n    }\n    const median = getMedian(currentPoints);\n    medianPoints.x[medianPoints.x.length] = currentPoints.x[0];\n    medianPoints.y[medianPoints.y.length] = median;\n    currentPoints.x = [data.x[i]];\n    currentPoints.y = [data.y[i]];\n  }\n  const median = getMedian(currentPoints);\n  medianPoints.x[medianPoints.x.length] = currentPoints.x[0];\n  medianPoints.y[medianPoints.y.length] = median;\n\n  return medianPoints;\n}\n\n/** Returns logarithmic IC50 parameter bounds. */\nfunction logIC50ParameterBounds(ic50Bounds: FitParamBounds): FitParamBounds {\n  if (ic50Bounds) {\n    if (ic50Bounds.max !== undefined)\n      ic50Bounds.max = Math.log10(ic50Bounds.max);\n    if (ic50Bounds.min !== undefined) {\n      ic50Bounds.min = ic50Bounds.min === 0 ?\n        -Number.MAX_VALUE : Math.log10(ic50Bounds.min);\n    }\n  }\n  return ic50Bounds;\n}\n\nfunction changeBounds(bounds: DG.Rect, chartOptions: IFitChartOptions): DG.Rect {\n  let x = bounds.x;\n  let y = bounds.y;\n  let width = bounds.width;\n  let height = bounds.height;\n\n  if (chartOptions.minX !== undefined && chartOptions.minX !== null &&\n    ((!chartOptions.logX) || (chartOptions.logX && chartOptions.minX > 0))) {\n    width += x - chartOptions.minX;\n    x = chartOptions.minX;\n  }\n  if (chartOptions.maxX !== undefined && chartOptions.maxX !== null &&\n    ((!chartOptions.logX) || (chartOptions.logX && chartOptions.maxX > 0)))\n    width += chartOptions.maxX - (x + width);\n  if (chartOptions.minY !== undefined && chartOptions.minY !== null &&\n    ((!chartOptions.logY) || (chartOptions.logY && chartOptions.minY > 0))) {\n    height += y - chartOptions.minY;\n    y = chartOptions.minY;\n  }\n  if (chartOptions.maxY !== undefined && chartOptions.maxY !== null &&\n    ((!chartOptions.logY) || (chartOptions.logY && chartOptions.maxY > 0)))\n    height += chartOptions.maxY - (y + height);\n\n  return new DG.Rect(x, y, width, height);\n}\n\n/** Returns the bounds of an {@link IFitChartData} object */\nexport function getChartBounds(chartData: IFitChartData): DG.Rect {\n  const o = chartData.chartOptions;\n  if (!chartData.series?.length || chartData.series.length === 0)\n    return new DG.Rect(0, 0, 1, 1);\n  else {\n    const {xs, ys} = getPointsArrays(chartData.series[0].points);\n    let bounds = DG.Rect.fromXYArrays(xs, ys);\n    for (let i = 1; i < chartData.series!.length; i++) {\n      const {xs, ys} = getPointsArrays(chartData.series[i].points);\n      if (xs.some((x) => x === undefined) || ys.some((y) => y === undefined))\n        continue;\n      bounds = bounds.union(DG.Rect.fromXYArrays(xs, ys));\n    }\n    return o ? changeBounds(bounds, o!): bounds;\n  }\n}\n\n/** Returns series fit function */\nexport function getSeriesFitFunction(series: IFitSeries): FitFunction {\n  return getOrCreateFitFunction(series.fitFunction!);\n}\n\n/** Returns a curve function, either using the pre-computed parameters or by fitting on-the-fly */\nexport function getCurve(series: IFitSeries, fitFunc: FitFunction): (x: number) => number {\n  return getFittedCurve(fitFunc.y, series.parameters!);\n}\n\n/** Fits the series data according to the series fitting settings */\nexport function fitSeries(series: IFitSeries, fitFunc: FitFunction, logOptions?: LogOptions): FitCurve {\n  const data = {x: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logX ? Math.log10(p.x) : p.x),\n    y: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logY ? Math.log10(p.y) : p.y)};\n  if (series.parameterBounds && logOptions?.logX)\n    series.parameterBounds[2] = logIC50ParameterBounds(series.parameterBounds[2]);\n  return fitData(getMedianPoints(data), fitFunc, series.errorModel ?? FitErrorModel.CONSTANT as FitErrorModelType,\n    series.parameterBounds);\n}\n\n/** Returns series confidence interval functions */\nexport function getSeriesConfidenceInterval(series: IFitSeries, fitFunc: FitFunction,\n  userParamsFlag: boolean, logOptions?: LogOptions): FitConfidenceIntervals {\n  const data = userParamsFlag ? {x: series.points.map((p) => logOptions?.logX ? Math.log10(p.x) : p.x),\n    y: series.points.map((p) => logOptions?.logY ? Math.log10(p.y) : p.y)} :\n    {x: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logX ? Math.log10(p.x) : p.x),\n      y: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logY ? Math.log10(p.y) : p.y)};\n  if (!series.parameters)\n    series.parameters = fitSeries(series, fitFunc).parameters;\n  return getCurveConfidenceIntervals(data, series.parameters, fitFunc.y, 0.05,\n    series.errorModel ?? FitErrorModel.CONSTANT as FitErrorModelType);\n}\n\n/** Returns series statistics */\nexport function getSeriesStatistics(series: IFitSeries, fitFunc: FitFunction, logOptions?: LogOptions): FitStatistics {\n  const data = {x: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logX ? Math.log10(p.x) : p.x),\n    y: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logY ? Math.log10(p.y) : p.y)};\n  if (!series.parameters)\n    series.parameters = fitSeries(series, fitFunc).parameters;\n  return getStatistics(data, series.parameters, fitFunc.y, true);\n}\n"]}
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eslint-disable valid-jsdoc */\nimport * as DG from 'datagrok-api/dg';\n\nimport {\n  FitErrorModel,\n  fitData,\n  getCurveConfidenceIntervals,\n  getStatistics,\n  FitFunction,\n  getFittedCurve,\n  FitStatistics,\n  FitConfidenceIntervals,\n  FitCurve,\n  getOrCreateFitFunction,\n  IFitPoint,\n  IFitChartData,\n  IFitSeries,\n  fitSeriesProperties,\n  fitChartDataProperties,\n  FitParamBounds,\n  IFitChartOptions,\n  FitErrorModelType,\n} from './fit-curve';\n\nexport type LogOptions = {\n  logX: boolean | undefined,\n  logY: boolean | undefined\n};\n\n\n/** Creates new object with the default values specified in {@link properties} */\nfunction createFromProperties(properties: DG.Property[]): any {\n  const o: any = {};\n  for (const p of properties) {\n    if (p.defaultValue !== null)\n      o[p.name] = p.defaultValue;\n  }\n  return o;\n}\n\n// TODO: set column with fit readonly value (in detectors) - try to only show chart - remove editable or prevent it??\n/** Creates default {@link IFitChartData} object */\nexport function createDefaultChartData(): IFitChartData {\n  return {\n    chartOptions: createFromProperties(fitChartDataProperties),\n    seriesOptions: createFromProperties(fitSeriesProperties),\n  };\n}\n\n/** Returns points arrays from {@link IFitPoint} array */\nexport function getPointsArrays(points: IFitPoint[]): {xs: number[], ys: number[]} {\n  const xs: number[] = [];\n  const ys: number[] = [];\n  for (let i = 0; i < points.length; i++) {\n    xs[i] = points[i].x;\n    ys[i] = points[i].y;\n  }\n  return {xs: xs, ys: ys};\n}\n\n/** Returns median from within multiple points */\nfunction getMedian(points: {x: number[], y: number[]}): number {\n  const mid = Math.floor(points.y.length / 2);\n  const sortedPoints = points.y.sort((a, b) => a - b);\n  const median = sortedPoints.length % 2 === 0 ? (sortedPoints[mid - 1] + sortedPoints[mid]) / 2 : sortedPoints[mid];\n  return median;\n}\n\n/** Returns median points from within multiple points with the same x. */\nfunction getMedianPoints(data: {x: number[], y: number[]}): {x: number[], y: number[]} {\n  const medianPoints: {x: number[], y: number[]} = {x: [], y: []};\n  const currentPoints: {x: number[], y: number[]} = {x: [data.x[0]], y: [data.y[0]]};\n  for (let i = 1; i < data.x.length; i++) {\n    if (data.x[i] === currentPoints.x[0]) {\n      currentPoints.x[currentPoints.x.length] = data.x[i];\n      currentPoints.y[currentPoints.y.length] = data.y[i];\n      continue;\n    }\n    const median = getMedian(currentPoints);\n    medianPoints.x[medianPoints.x.length] = currentPoints.x[0];\n    medianPoints.y[medianPoints.y.length] = median;\n    currentPoints.x = [data.x[i]];\n    currentPoints.y = [data.y[i]];\n  }\n  const median = getMedian(currentPoints);\n  medianPoints.x[medianPoints.x.length] = currentPoints.x[0];\n  medianPoints.y[medianPoints.y.length] = median;\n\n  return medianPoints;\n}\n\n/** Returns logarithmic IC50 parameter bounds. */\nfunction logIC50ParameterBounds(ic50Bounds: FitParamBounds): FitParamBounds {\n  if (ic50Bounds) {\n    if (ic50Bounds.max !== undefined)\n      ic50Bounds.max = Math.log10(ic50Bounds.max);\n    if (ic50Bounds.min !== undefined) {\n      ic50Bounds.min = ic50Bounds.min === 0 ?\n        -Number.MAX_VALUE : Math.log10(ic50Bounds.min);\n    }\n  }\n  return ic50Bounds;\n}\n\nfunction changeBounds(bounds: DG.Rect, chartOptions: IFitChartOptions): DG.Rect {\n  let x = bounds.x;\n  let y = bounds.y;\n  let width = bounds.width;\n  let height = bounds.height;\n\n  if (chartOptions.minX !== undefined && chartOptions.minX !== null &&\n    ((!chartOptions.logX) || (chartOptions.logX && chartOptions.minX > 0))) {\n    width += x - chartOptions.minX;\n    x = chartOptions.minX;\n  }\n  if (chartOptions.maxX !== undefined && chartOptions.maxX !== null &&\n    ((!chartOptions.logX) || (chartOptions.logX && chartOptions.maxX > 0)))\n    width += chartOptions.maxX - (x + width);\n  if (chartOptions.minY !== undefined && chartOptions.minY !== null &&\n    ((!chartOptions.logY) || (chartOptions.logY && chartOptions.minY > 0))) {\n    height += y - chartOptions.minY;\n    y = chartOptions.minY;\n  }\n  if (chartOptions.maxY !== undefined && chartOptions.maxY !== null &&\n    ((!chartOptions.logY) || (chartOptions.logY && chartOptions.maxY > 0)))\n    height += chartOptions.maxY - (y + height);\n\n  return new DG.Rect(x, y, width, height);\n}\n\n/** Returns the bounds of an {@link IFitChartData} object */\nexport function getChartBounds(chartData: IFitChartData): DG.Rect {\n  const o = chartData.chartOptions;\n  if (!chartData.series?.length || chartData.series.length === 0)\n    return new DG.Rect(0, 0, 1, 1);\n  else {\n    const {xs, ys} = getPointsArrays(chartData.series[0].points);\n    let bounds = DG.Rect.fromXYArrays(xs, ys);\n    for (let i = 1; i < chartData.series!.length; i++) {\n      const {xs, ys} = getPointsArrays(chartData.series[i].points);\n      if (xs.some((x) => x === undefined) || ys.some((y) => y === undefined))\n        continue;\n      bounds = bounds.union(DG.Rect.fromXYArrays(xs, ys));\n    }\n    return o ? changeBounds(bounds, o!): bounds;\n  }\n}\n\n/** Returns series fit function */\nexport function getSeriesFitFunction(series: IFitSeries): FitFunction {\n  return getOrCreateFitFunction(series.fitFunction!);\n}\n\n/** Returns a curve function, either using the pre-computed parameters or by fitting on-the-fly */\nexport function getCurve(series: IFitSeries, fitFunc: FitFunction): (x: number) => number {\n  const params = new Float32Array(series.parameters?.length!);\n  params.set(series.parameters!);\n  return getFittedCurve(fitFunc.y, params);\n}\n\n/** Fits the series data according to the series fitting settings */\nexport function fitSeries(series: IFitSeries, fitFunc: FitFunction, logOptions?: LogOptions): FitCurve {\n  const data = {x: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logX ? Math.log10(p.x) : p.x),\n    y: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logY ? Math.log10(p.y) : p.y)};\n  if (series.parameterBounds && logOptions?.logX)\n    series.parameterBounds[2] = logIC50ParameterBounds(series.parameterBounds[2]);\n  return fitData(getMedianPoints(data), fitFunc, series.errorModel ?? FitErrorModel.CONSTANT as FitErrorModelType,\n    series.parameterBounds);\n}\n\n/** Returns series confidence interval functions */\nexport function getSeriesConfidenceInterval(series: IFitSeries, fitFunc: FitFunction,\n  userParamsFlag: boolean, logOptions?: LogOptions): FitConfidenceIntervals {\n  const data = userParamsFlag ? {x: series.points.map((p) => logOptions?.logX ? Math.log10(p.x) : p.x),\n    y: series.points.map((p) => logOptions?.logY ? Math.log10(p.y) : p.y)} :\n    {x: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logX ? Math.log10(p.x) : p.x),\n      y: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logY ? Math.log10(p.y) : p.y)};\n  if (!series.parameters) {\n    const params = fitSeries(series, fitFunc).parameters;\n    series.parameters = [...params];\n  }\n  const params = new Float32Array(series.parameters?.length!);\n  params.set(series.parameters!);\n  return getCurveConfidenceIntervals(data, params, fitFunc.y, 0.05,\n    series.errorModel ?? FitErrorModel.CONSTANT as FitErrorModelType);\n}\n\n/** Returns series statistics */\nexport function getSeriesStatistics(series: IFitSeries, fitFunc: FitFunction, logOptions?: LogOptions): FitStatistics {\n  const data = {x: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logX ? Math.log10(p.x) : p.x),\n    y: series.points.filter((p) => !p.outlier).map((p) => logOptions?.logY ? Math.log10(p.y) : p.y)};\n  if (!series.parameters) {\n    const params = fitSeries(series, fitFunc).parameters;\n    series.parameters = [...params];\n  }\n  const params = new Float32Array(series.parameters?.length!);\n  params.set(series.parameters!);\n  return getStatistics(data, params, fitFunc.y, true);\n}\n"]}

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