feat(*): drop usage of as helper from vectorOf and test

Co-authored-by: Rachna <[email protected]>

src/wink-nlp.js

@@ -433,11 +433,21 @@ var nlp = function ( theModel, pipe, wordVectorsJSON = null ) {
   methods.its = itsHelpers;
   methods.as = asHelpers;
   // Vector of a token method.
-  const dummyRDD = Object.create( null );
-  dummyRDD.wordVectors = wordVectorsJSON;
-  methods.vectorOf = function ( word )  {
-    if ( typeof word !== 'string' ) throw Error( 'winkNLP: input word must be of type string.' );
-    return asHelpers.vector( [ word ], dummyRDD );
+  methods.vectorOf = function ( word, safe = true )  {
+    const vectors = wordVectorsJSON.vectors;
+    const unkVector = wordVectorsJSON.unkVector;
+    const sliceUpTo = wordVectorsJSON.l2NormIndex + 1;
+
+    if ( typeof word !== 'string' ) {
+      throw Error( 'winkNLP: input word must be of type string.' );
+    }
+
+    const tv = vectors[ word.toLowerCase() ];
+    if ( tv === undefined ) {
+      // If unsafe, return the entire array.
+      return ( safe ) ? unkVector.slice( 0, sliceUpTo ) : unkVector.slice();
+    }
+    return ( safe ) ? tv.slice( 0, sliceUpTo ) : tv.slice();
   }; // vectorOf()
 
   return methods;

test/wink-nlp-specs.js

@@ -630,4 +630,20 @@ describe( 'vectorOf method', function () {
     expect( myNLP.vectorOf( 'UNK$$$' ) ).to.deep.equal( zeroVector );
     expect( doc2.tokens().out( its.value, as.vector) ).to.deep.equal( zeroVector );
   } );
+
+  it( 'with safe=false and UNK$$$, array\'s length === 102 & last element === -1', function () {
+    const zeroVector = new Array( 102 );
+    zeroVector.fill( 0 );
+    zeroVector[ 101 ] = -1;
+    expect( myNLP.vectorOf( 'UNK$$$', false ) ).to.deep.equal( zeroVector );
+    expect( myNLP.vectorOf( 'UNK$$$', false ).length ).to.deep.equal( 102 );
+  } );
+
+  it( 'with safe=false and "the" word, array\'s length === 102 & last element === 0', function () {
+    // because the is the first word in the word vectors i.e. most often used word!
+    const theVector = myNLP.vectorOf( 'the' );
+    theVector.push( 0 );
+    expect( myNLP.vectorOf( 'the', false ) ).to.deep.equal( theVector );
+    expect( myNLP.vectorOf( 'the', false ).length ).to.deep.equal( 102 );
+  } );
 } );