Fix EEG Browser strict mode

modules/electrophysiology_browser/jsx/react-series-data-viewer/src/series/components/SeriesCursor.tsx

@@ -220,7 +220,7 @@ const SeriesCursor = (
 };
 
 const createIndices = R.memoizeWith(
-  R.identity,
+  (s: string) => s,
   (array) => array.map((_, i) => i)
 );
 

modules/electrophysiology_browser/jsx/react-series-data-viewer/src/series/components/SeriesRenderer.tsx

@@ -17,7 +17,6 @@ import {
   DEFAULT_MAX_CHANNELS,
   CHANNEL_DISPLAY_OPTIONS,
   SIGNAL_UNIT,
-  Vector2,
   DEFAULT_TIME_INTERVAL,
   STATIC_SERIES_RANGE,
   DEFAULT_VIEWER_HEIGHT,
@@ -814,7 +813,7 @@ const SeriesRenderer: FunctionComponent<CProps> = ({
    *
    * @param v
    */
-  const updateTimeSelectionCallback = useCallback((v: Vector2) => {
+  const updateTimeSelectionCallback = useCallback((v: vec2) => {
     document.addEventListener('mousemove', onMouseMove);
     document.addEventListener('mouseup', onMouseUp);
     R.compose(dragStart, R.nth(0))(v);

modules/electrophysiology_browser/jsx/react-series-data-viewer/src/series/store/logic/dragBounds.tsx

@@ -29,7 +29,7 @@ export type Action = BoundsAction | { type: 'UPDATE_VIEWED_CHUNKS' };
 export const createDragBoundsEpic = () => (
   action$: Observable<any>,
   state$: Observable<any>,
-): Observable<Action> => {
+): Observable<any> => {
   const startDrag$ = action$.pipe(
     ofType(START_DRAG_INTERVAL),
     Rx.map(R.prop('payload'))

modules/electrophysiology_browser/jsx/react-series-data-viewer/src/series/store/logic/fetchChunks.tsx

@@ -86,6 +86,11 @@ export const fetchChunkAt = R.memoizeWith(
 );
 
 type State = {bounds: BoundsState, dataset: DatasetState, channels: Channel[]};
+type chunkIntervals = {
+  interval: [ number, number ],
+  numChunks: number,
+  downsampling:  number,
+};
 
 const UPDATE_DEBOUNCE_TIME = 100;
 
@@ -118,38 +123,41 @@ export const createFetchChunksEpic = (fromState: (any) => State) => (
               const shapeChunks =
                 shapes.map((shape) => shape[shape.length - 2]);
 
-              const chunkIntervals = shapeChunks
+              const chunkIntervals : chunkIntervals[] = shapeChunks
                 .map((numChunks, downsampling) => {
                   const recordingDuration = Math.abs(
                     timeInterval[1] - timeInterval[0]
                   );
+
                   const i0 =
                     (numChunks *
                       Math.floor(bounds.interval[0] - bounds.domain[0])
                     ) / recordingDuration;
+
                   const i1 =
                     (numChunks *
                       Math.ceil(bounds.interval[1] - bounds.domain[0])
                     ) / recordingDuration;
+
+                  const interval : [number, number] = [
+                    Math.floor(i0),
+                    Math.min(Math.ceil(i1), numChunks),
+                  ];
+
                   return {
-                    interval:
-                      [
-                        Math.floor(i0),
-                        Math.min(Math.ceil(i1), numChunks),
-                      ],
+                    interval: interval,
                     numChunks: numChunks,
                     downsampling,
                   };
                 })
-                .filter(
-                  ({interval}) =>
+                .filter(({interval}) =>
                     interval[1] - interval[0] < MAX_VIEWED_CHUNKS
                 )
                 .reverse();
 
-              const finestChunks = R.reduce(
+              const finestChunks : chunkIntervals = R.reduce(
                 R.maxBy(({interval}) => interval[1] - interval[0]),
-                {interval: [0, 0]},
+                chunkIntervals[0],
                 chunkIntervals
               );
 

modules/electrophysiology_browser/jsx/react-series-data-viewer/src/series/store/logic/timeSelection.tsx

@@ -38,7 +38,7 @@ export const roundTime = (value, decimals = 3) => {
 export const createTimeSelectionEpic = (fromState: (_: any) => any) => (
   action$: Observable<any>,
   state$: Observable<any>
-): Observable<Action> => {
+): Observable<any> => {
   const startDrag$ = action$.pipe(
     ofType(START_DRAG_SELECTION),
     Rx.map(R.prop('payload')),

modules/electrophysiology_browser/jsx/react-series-data-viewer/src/series/store/state/dataset.tsx

@@ -90,7 +90,7 @@ export const datasetReducer = (
       return R.assoc('physioFileID', action.payload, state);
     }
     case SET_DATASET_METADATA: {
-      return R.merge(state, action.payload);
+      return R.mergeAll([state, action.payload]);
     }
     default: {
       return state;

modules/electrophysiology_browser/jsx/react-series-data-viewer/src/vector/index.tsx

@@ -1,18 +1,16 @@
 import {vec2, glMatrix} from 'gl-matrix';
 
-export type Vector2 = typeof glMatrix.ARRAY_TYPE;
-
 /**
  * Apply transformation f on point p
  *
  * @param {Function[]} f - an array of functions
- * @param {Vector2} p - a point
- * @returns {Vector2} - a vector
+ * @param {vec2} p - a point
+ * @returns {vec2} - a vector
  */
 export const ap = (
-  f: [(_: any) => any, (_: any) => any],
-  p: Vector2
-): Vector2 => vec2.fromValues(f[0](p[0]), f[1](p[1]));
+  f: [(_: number) => number, (_: number) => number],
+  p: vec2
+): vec2 => vec2.fromValues(f[0](p[0]), f[1](p[1]));
 
 export const MIN_INTERVAL = 0.001;
 

modules/electrophysiology_browser/jsx/react-series-data-viewer/tsconfig.json

@@ -0,0 +1,6 @@
+{
+    "extends": "../../../../tsconfig",
+    "compilerOptions": {
+        "strict": false
+    }
+}