Make // @ts-ignore obsolete for _call overrides by respecting LSP (#278)

* Make // @ts-ignore obsolete for _call overrides by respecting LSP

* oops can't be undefined, back to how it was

* Use `...unused` instead to fix LSP errors

src/pipelines.js

@@ -109,9 +109,10 @@ export class Pipeline extends Callable {
     /**
      * Executes the task associated with the pipeline.
      * @param {any} texts The input texts to be processed.
+     * @param {...any} unused Only used to fix Liskov Substitution Principle errors.
      * @returns {Promise<any>} A promise that resolves to an array containing the inputs and outputs of the task.
      */
-    async _call(texts) {
+    async _call(texts, ...unused) {
         // Run tokenization
         let model_inputs = this.tokenizer(texts, {
             padding: true,
@@ -301,6 +302,16 @@ export class TokenClassificationPipeline extends Pipeline {
     }
 }
 
+/**
+ * @typedef {object} QuestionAnsweringResult
+ * @property {string} answer - The answer.
+ * @property {number} score - The score.
+ */
+
+/**
+ * @typedef {Promise<QuestionAnsweringResult|QuestionAnsweringResult[]>} QuestionAnsweringReturnType
+ */
+
 /**
  * Question Answering pipeline using any `ModelForQuestionAnswering`.
  * 
@@ -324,9 +335,9 @@ export class QuestionAnsweringPipeline extends Pipeline {
      * @param {string|string[]} context The context(s) where the answer(s) can be found.
      * @param {Object} options An optional object containing the following properties:
      * @param {number} [options.topk=1] The number of top answer predictions to be returned.
-     * @returns {Promise<any>} A promise that resolves to an array or object containing the predicted answers and scores.
+     * @returns {QuestionAnsweringReturnType} A promise that resolves to an array or object
+     * containing the predicted answers and scores.
      */
-    // @ts-ignore
     async _call(question, context, {
         topk = 1
     } = {}) {
@@ -760,7 +771,6 @@ export class ZeroShotClassificationPipeline extends Pipeline {
      * candidate by doing a softmax of the entailment score vs. the contradiction score.
      * @return {Promise<Object|Object[]>} The prediction(s), as a map (or list of maps) from label to score.
      */
-    // @ts-ignore
     async _call(texts, candidate_labels, {
         hypothesis_template = "This example is {}.",
         multi_label = false,
@@ -1602,7 +1612,6 @@ export class ZeroShotImageClassificationPipeline extends Pipeline {
      * @param {string} [options.hypothesis_template] The hypothesis template to use for zero-shot classification. Default: "This is a photo of {}".
      * @returns {Promise<any>} An array of classifications for each input image or a single classification object if only one input image is provided.
      */
-    // @ts-ignore
     async _call(images, candidate_labels, {
         hypothesis_template = "This is a photo of {}"
     } = {}) {