wink-nlp - npm Package Compare versions

Comparing version 2.2.1 to 2.2.2

.nyc_output/processinfo/index.json

@@ -1,1 +0,1 @@
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CHANGELOG.md

@@ -0,1 +1,11 @@
+# [Improved error handling in contextual vectors](https://github.com/winkjs/wink-nlp/releases/tag/2.2.2)
+## Version 2.2.2 May 08, 2024
+
+### ✨ Features
+- `.contextualVectors()` now throws error if (a) word vectors are not loaded and (b) with `lemma: true`, "pos" is missing in the NLP pipe. 🤓
+
+### 🐛 Fixes
+- Refined typescript definitions further. ✅
+
+
 # [Added missing typescript definitions](https://github.com/winkjs/wink-nlp/releases/tag/2.2.1)
@@ -2,0 +12,0 @@ ## Version 2.2.1 May 06, 2024

package.json

 {
   "name": "wink-nlp",
-  "version": "2.2.1",
+  "version": "2.2.2",
   "description": "Developer friendly Natural Language Processing ✨",
@@ -5,0 +5,0 @@ "keywords": [

src/doc-v2.js

@@ -462,2 +462,4 @@ //     wink-nlp
     // Error handling!
+    if ( docData.wordVectors === null )
+      throw Error( 'wink-nlp: word vectors are not loaded: load them winkNLP\'s instantiation time.' );
     if ( !Array.isArray( specificWordVectors ) )
@@ -467,2 +469,4 @@ throw Error( `wink-nlp: expecting a valid Javascript array for similarWordVectos, instead found "${typeof specificWordVectors}".`);
       throw Error( 'wink-nlp: invalid value or type encountered for wordVectorsLimit.' );
+    if ( lemma && !docData.currPipe.pos )
+      throw Error( 'wink-nlp: Can\'t create lemma vectors without pos: add a "pos" to NLP pipe.' );
     // Initialize contextual vectors.
@@ -469,0 +473,0 @@ const cv = Object.create( null );

types/index.d.ts

@@ -274,2 +274,9 @@ // Minimum TypeScript Version: 4.0
 
+  export interface Include {
+    lemma?: boolean;
+    specificWordVectors?: string[];
+    similarWordVectors?: boolean;
+    wordVectorsLimit?: number;
+  }
+
   export interface Document {
@@ -286,3 +293,3 @@ entities(): Entities;
     pipeConfig(): string[];
-    contextualVectors(lemma: boolean, specifcWordVectors: string[], similarWordVectors: boolean, wordVectorsLimit: number): string;
+    contextualVectors(include: Include): string;
   }
@@ -322,2 +329,3 @@
     learnCustomEntities(examples: CustomEntityExample[], config?: CerConfig): number;
+    vectorOf(word: string): number[];
     its: ItsHelpers;
@@ -324,0 +332,0 @@ as: AsHelpers;

No alert changes

Improved metrics

Total package byte prevSize

652551

increased by0.29%

Lines of code

6540

increased by0.17%

No dependency changes