feat: update ml-peak-shape-generator to 2.0.1

package.json

@@ -68,11 +68,11 @@
     "nodemon": "^2.0.7",
     "prettier": "^2.3.0",
     "rollup": "^2.50.1",
-    "spectrum-generator": "^4.7.1",
+    "spectrum-generator": "^5.0.0",
     "xy-parser": "^3.1.1"
   },
   "dependencies": {
-    "ml-peak-shape-generator": "^1.0.0",
+    "ml-peak-shape-generator": "^2.0.1",
     "ml-savitzky-golay-generalized": "2.0.3",
     "ml-spectra-fitting": "^1.0.0",
     "ml-spectra-processing": "^6.6.0"

src/__tests__/simulated.js

@@ -10,10 +10,14 @@ describe('Global spectra deconvolution with simulated spectra', () => {
     ];
 
     const data = generateSpectrum(peaks, {
-      from: -1,
-      to: 1,
-      nbPoints: 1001,
-      factor: 6,
+      generator: {
+        from: -1,
+        to: 1,
+        nbPoints: 1001,
+      },
+      peaks: {
+        factor: 6,
+      },
     });
 
     let peakList = gsd(data, {
@@ -49,7 +53,9 @@ describe('Global spectra deconvolution with simulated spectra', () => {
       { x: 0.5, y: 1, width: 0.1 },
     ];
 
-    const data = generateSpectrum(peaks, { from: -1, to: 1, nbPoints: 10001 });
+    const data = generateSpectrum(peaks, {
+      generator: { from: -1, to: 1, nbPoints: 10001 },
+    });
 
     let peakList = gsd(data, {
       minMaxRatio: 0,
@@ -84,7 +90,9 @@ describe('Global spectra deconvolution with simulated spectra', () => {
       { x: 0.5, y: 1, width: 0.1 },
     ];
 
-    const data = generateSpectrum(peaks, { from: -1, to: 1, nbPoints: 10001 });
+    const data = generateSpectrum(peaks, {
+      generator: { from: -1, to: 1, nbPoints: 10001 },
+    });
 
     let peakList = gsd(data, {
       minMaxRatio: 0,
@@ -116,11 +124,13 @@ describe('Global spectra deconvolution with simulated spectra', () => {
     const peaks = [{ x: 0, y: 1, width: 0.12 }];
 
     const data = generateSpectrum(peaks, {
-      from: -0.5,
-      to: 0.5,
-      nbPoints: 10001,
-      shape: {
-        kind: 'gaussian',
+      generator: {
+        from: -0.5,
+        to: 0.5,
+        nbPoints: 10001,
+        shape: {
+          kind: 'gaussian',
+        },
       },
     });
 

src/gsd.js

@@ -1,4 +1,4 @@
-import { getShapeGenerator } from 'ml-peak-shape-generator';
+import { getShape1D } from 'ml-peak-shape-generator';
 import SG from 'ml-savitzky-golay-generalized';
 
 /**
@@ -172,7 +172,7 @@ export function gsd(data, options = {}) {
   }
 
   let widthProcessor = shape.kind
-    ? getShapeGenerator(shape.kind, shape.options).widthToFWHM
+    ? getShape1D(shape.kind, shape.options).widthToFWHM
     : (x) => x;
 
   let signals = [];

src/post/__tests__/optimizePeaks.test.js

@@ -10,11 +10,13 @@ describe('optimizePeaks', () => {
     const peaks = [{ x: 0, y: 1, width: 0.12 }];
 
     const data = generateSpectrum(peaks, {
-      from: -0.5,
-      to: 0.5,
-      nbPoints: 101,
-      shape: {
-        kind: 'gaussian',
+      generator: {
+        from: -0.5,
+        to: 0.5,
+        nbPoints: 101,
+        shape: {
+          kind: 'gaussian',
+        },
       },
     });