Disambiguate implementations

web/packages/new/photos/components/gallery/PeopleHeader.tsx

@@ -12,9 +12,12 @@ import {
 import { useIsSmallWidth } from "@/base/hooks";
 import { pt } from "@/base/i18n";
 import log from "@/base/log";
-import { deleteCGroup, renameCGroup } from "@/new/photos/services/ml";
 import {
+    deleteCGroup,
+    renameCGroup,
     suggestionsAndChoicesForPerson,
+} from "@/new/photos/services/ml";
+import {
     type CGroupPerson,
     type ClusterPerson,
     type Person,

web/packages/new/photos/services/ml/clip.ts

@@ -133,7 +133,7 @@ const normalized = (embedding: Float32Array) => {
  * The result can also be `undefined`, which indicates that the download for the
  * ML model is still in progress (trying again later should succeed).
  */
-export const clipMatches = async (
+export const _clipMatches = async (
     searchPhrase: string,
     electron: ElectronMLWorker,
 ): Promise<CLIPMatches | undefined> => {

web/packages/new/photos/services/ml/cluster.ts

@@ -62,7 +62,7 @@ export type ClusterFace = Omit<Face, "embedding"> & {
  * other interactions with the worker (where this code runs) do not get stalled
  * while clustering is in progress.
  */
-export const clusterFaces = async (
+export const _clusterFaces = async (
     faceIndexes: FaceIndex[],
     localFiles: EnteFile[],
     onProgress: (progress: ClusteringProgress) => void,

web/packages/new/photos/services/ml/people.ts

@@ -360,7 +360,7 @@ export interface PersonSuggestionsAndChoices {
 /**
  * Returns suggestions and existing choices for the given person.
  */
-export const suggestionsAndChoicesForPerson = async (
+export const _suggestionsAndChoicesForPerson = async (
     person: CGroupPerson,
 ): Promise<PersonSuggestionsAndChoices> => {
     const startTime = Date.now();

web/packages/new/photos/services/ml/worker.ts

@@ -18,14 +18,14 @@ import {
     type ImageBitmapAndData,
 } from "./blob";
 import {
+    _clipMatches,
     clearCachedCLIPIndexes,
     clipIndexingVersion,
-    clipMatches,
     indexCLIP,
     type CLIPIndex,
 } from "./clip";
 import {
-    clusterFaces,
+    _clusterFaces,
     reconcileClusters,
     type ClusteringProgress,
 } from "./cluster";
@@ -44,7 +44,7 @@ import {
     type RawRemoteMLData,
     type RemoteMLData,
 } from "./ml-data";
-import { suggestionsAndChoicesForPerson, type CGroupPerson } from "./people";
+import { _suggestionsAndChoicesForPerson, type CGroupPerson } from "./people";
 import type { CLIPMatches, MLWorkerDelegate } from "./worker-types";
 
 /**
@@ -207,7 +207,7 @@ export class MLWorker {
      * Find {@link CLIPMatches} for a given normalized {@link searchPhrase}.
      */
     async clipMatches(searchPhrase: string): Promise<CLIPMatches | undefined> {
-        return clipMatches(searchPhrase, ensure(this.electron));
+        return _clipMatches(searchPhrase, ensure(this.electron));
     }
 
     private async tick() {
@@ -326,7 +326,7 @@ export class MLWorker {
      * cgroups if needed.
      */
     async clusterFaces(masterKey: Uint8Array) {
-        const clusters = await clusterFaces(
+        const clusters = await _clusterFaces(
             await savedFaceIndexes(),
             await getAllLocalFiles(),
             (progress) => this.updateClusteringProgress(progress),
@@ -344,7 +344,7 @@ export class MLWorker {
      * Return suggestions and choices for the given cgroup {@link person}.
      */
     async suggestionsAndChoicesForPerson(person: CGroupPerson) {
-        return suggestionsAndChoicesForPerson(person);
+        return _suggestionsAndChoicesForPerson(person);
     }
 }