Fixed typos in documentation string. (#7782)

shmishra99 · mattsoulanille · Linchenn · web-flow · commit 818d672e1b5f · 2024-02-05T18:41:41.000Z
* Migrate stale management probot to Github action

* Migrate stale management probot to Github action

* Fixed typos in documentation string.

* Fixed typos in documentation string.

---------

Co-authored-by: Matthew Soulanille &lt;msoulanille@google.com&gt;
Co-authored-by: Linchenn &lt;40653845+Linchenn@users.noreply.github.com&gt;
Co-authored-by: Ping Yu &lt;4018+pyu10055@users.noreply.github.com&gt;
diff --git a/tfjs-converter/src/executor/graph_executor.ts b/tfjs-converter/src/executor/graph_executor.ts
@@ -452,7 +452,7 @@ export class GraphExecutor implements FunctionExecutor {
    * @param isFunctionExecution Optional. Flag for executing a function.
    * @param tensorArrayMap Optional, global TensorArray map by id. Used for
    * function execution.
-   * @param tensorArrayMap Optinal global TensorList map by id. Used for
+   * @param tensorArrayMap Optional global TensorList map by id. Used for
    * function execution.
    */
   private async _executeAsync(
diff --git a/tfjs-converter/src/executor/graph_model.ts b/tfjs-converter/src/executor/graph_model.ts
@@ -319,7 +319,7 @@ export class GraphModel<ModelURL extends Url = string | io.IOHandler> implements
    * Execute the inference for the input tensors.
    *
    * @param input The input tensors, when there is single input for the model,
-   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,
+   * inputs param should be a `tf.Tensor`. For models with multiple inputs,
    * inputs params should be in either `tf.Tensor`[] if the input order is
    * fixed, or otherwise NamedTensorMap format.
    *
diff --git a/tfjs-converter/src/executor/tensor_array.ts b/tfjs-converter/src/executor/tensor_array.ts
@@ -240,7 +240,7 @@ export class TensorArray {
 
   /**
    * Scatter the values of a Tensor in specific indices of a TensorArray.
-   * @param indices nummber[] values in [0, max_value). If the
+   * @param indices number[] values in [0, max_value). If the
    *    TensorArray is not dynamic, max_value=size().
    * @param tensor Tensor input tensor.
    */
diff --git a/tfjs-converter/src/operations/executors/hash_table_executor_test.ts b/tfjs-converter/src/operations/executors/hash_table_executor_test.ts
@@ -262,7 +262,7 @@ describe('hash_table', () => {
         const before = memory().numTensors;
         try {
           await executeOp(node, {input3, input5}, context, resourceManager);
-          fail('Shoudl fail, succeed unexpectedly.');
+          fail('Should fail, succeed unexpectedly.');
         } catch (err) {
           expect(err).toMatch(/Expect key dtype/);
         }
diff --git a/tfjs-tfdf/BUILD.bazel b/tfjs-tfdf/BUILD.bazel
@@ -48,7 +48,7 @@ tfjs_bundle(
     ],
 )
 
-# Copy ouput files to dist/.
+# Copy output files to dist/.
 copy_ts_library_to_dist(
     name = "copy_src_to_dist",
     srcs = [
diff --git a/tfjs-tfdf/README.md b/tfjs-tfdf/README.md
@@ -1,6 +1,6 @@
 # Tensorflow Decision Forests support for Tensorflow.js
 
-This package enables users to run arbitary Tensorflow Decision Forests models
+This package enables users to run arbitrary Tensorflow Decision Forests models
 on the web that are converted using tfjs-converter.
 Users can load a TFDF model from a URL, use TFJS tensors to set
 the model's input data, run inference, and get the output back in TFJS tensors.
diff --git a/tfjs-vis/demos/mnist/index.html b/tfjs-vis/demos/mnist/index.html
@@ -94,7 +94,7 @@ <h2>The Visor</h2>
           <li>
             <strong>`</strong> (backtick): Shows or hides the visor</li>
           <li>
-            <strong>~</strong> (tilde, shift+backtick): Toggles betweeen the two sizes the visor supports</li>
+            <strong>~</strong> (tilde, shift+backtick): Toggles between the two sizes the visor supports</li>
         </ul>
         The API allows you to disable (unbind) these keyboard shortcuts.
       </p>
@@ -317,7 +317,7 @@ <h3>Customizing training charts.</h3>
     <section>
       <h2>Evaluating Our Model</h2>
       <p>
-        Now that our model is trained we should evalute its performance. For a classification task like this one we can
+        Now that our model is trained we should evaluate its performance. For a classification task like this one we can
         use the `perClassAccuracy`
         and `confusionMatrix` functions. These are demonstrated below.
       </p>
diff --git a/tfjs-vis/src/components/surface.tsx b/tfjs-vis/src/components/surface.tsx
@@ -27,7 +27,7 @@ interface SurfaceProps extends SurfaceInfoStrict {
 }
 
 /**
- * A surface is container for visualizations and other rendered thigns.
+ * A surface is container for visualizations and other rendered things.
  * It consists of a containing DOM Element, a label and an empty drawArea.
  */
 export class SurfaceComponent extends Component<SurfaceProps> {
diff --git a/tfjs-vis/src/components/visor.tsx b/tfjs-vis/src/components/visor.tsx
@@ -28,7 +28,7 @@ interface VisorProps {
   // objects that allow configuration of the surface. The actual surface
   // instance is managed by the visor.
   surfaceList: SurfaceInfoStrict[];
-  // Whether to inialize the visor to the open or closed state. Optional.
+  // Whether to initialize the visor to the open or closed state. Optional.
   startOpen?: boolean;
   // A ref handler
   ref?: (r: VisorComponent) => void;
diff --git a/tfjs-vis/src/types.ts b/tfjs-vis/src/types.ts
@@ -141,11 +141,11 @@ export interface VisOptions {
  */
 export interface XYPlotOptions extends VisOptions {
   /**
-   * domain of the x axis. Overriden by zoomToFit
+   * domain of the x axis. Overridden by zoomToFit
    */
   xAxisDomain?: [number, number];
   /**
-   * domain of the y axis. Overriden by zoomToFit
+   * domain of the y axis. Overridden by zoomToFit
    */
   yAxisDomain?: [number, number];
   /**

Original file line number	Diff line number	Diff line change
`@@ -319,7 +319,7 @@ export class GraphModel<ModelURL extends Url = string \| io.IOHandler> implements`
`319`	`319`	`* Execute the inference for the input tensors.`
`320`	`320`	`*`
`321`	`321`	`* @param input The input tensors, when there is single input for the model,`
`322`		- * inputs param should be a `tf.Tensor`. For models with mutliple inputs,
	`322`	+ * inputs param should be a `tf.Tensor`. For models with multiple inputs,
`323`	`323`	* inputs params should be in either `tf.Tensor`[] if the input order is
`324`	`324`	`* fixed, or otherwise NamedTensorMap format.`
`325`	`325`	`*`
Original file line number	Diff line number	Diff line change
`@@ -262,7 +262,7 @@ describe('hash_table', () => {`
`262`	`262`	`const before = memory().numTensors;`
`263`	`263`	`try {`
`264`	`264`	`await executeOp(node, {input3, input5}, context, resourceManager);`
`265`		`- fail('Shoudl fail, succeed unexpectedly.');`
	`265`	`+ fail('Should fail, succeed unexpectedly.');`
`266`	`266`	`} catch (err) {`
`267`	`267`	`expect(err).toMatch(/Expect key dtype/);`
`268`	`268`	`}`
Original file line number	Diff line number	Diff line change
`@@ -48,7 +48,7 @@ tfjs_bundle(`
`48`	`48`	`],`
`49`	`49`	`)`
`50`	`50`
`51`		`-# Copy ouput files to dist/.`
	`51`	`+# Copy output files to dist/.`
`52`	`52`	`copy_ts_library_to_dist(`
`53`	`53`	`name = "copy_src_to_dist",`
`54`	`54`	`srcs = [`
Original file line number	Diff line number	Diff line change
`@@ -27,7 +27,7 @@ interface SurfaceProps extends SurfaceInfoStrict {`
`27`	`27`	`}`
`28`	`28`
`29`	`29`	`/**`
`30`		`- * A surface is container for visualizations and other rendered thigns.`
	`30`	`+ * A surface is container for visualizations and other rendered things.`
`31`	`31`	`* It consists of a containing DOM Element, a label and an empty drawArea.`
`32`	`32`	`*/`
`33`	`33`	`export class SurfaceComponent extends Component<SurfaceProps> {`