Auto-generated commit

.github/.keepalive

@@ -0,0 +1 @@
+2023-11-01T03:03:48.728Z

.github/workflows/publish.yml

@@ -182,7 +182,11 @@ jobs:
             fi
             # Trim leading and trailing whitespace:
             dep=$(echo "$dep" | xargs)
-            version="^$(npm view $dep version)"
+            version="$(npm view $dep version)"
+            if [[ -z "$version" ]]; then
+              continue
+            fi
+            version="^$version"
             jq -r --arg dep "$dep" --arg version "$version" '.dependencies[$dep] = $version' package.json > package.json.tmp
             mv package.json.tmp package.json
           done
@@ -192,7 +196,11 @@ jobs:
             fi
             # Trim leading and trailing whitespace:
             dep=$(echo "$dep" | xargs)
-            version="^$(npm view $dep version)"
+            version="$(npm view $dep version)"
+            if [[ -z "$version" ]]; then
+              continue
+            fi
+            version="^$version"
             jq -r --arg dep "$dep" --arg version "$version" '.devDependencies[$dep] = $version' package.json > package.json.tmp
             mv package.json.tmp package.json
           done

CONTRIBUTORS

@@ -37,3 +37,4 @@ Stephannie Jiménez Gacha <[email protected]>
 Yernar Yergaziyev <[email protected]>
 orimiles5 <[email protected]>
 rei2hu <[email protected]>
+Robert Gislason <[email protected]>

package.json

@@ -39,13 +39,13 @@
   "dependencies": {
     "@stdlib/assert-is-array-like-object": "^0.1.0",
     "@stdlib/math-base-assert-is-nan": "^0.1.1",
-    "@stdlib/math-base-special-sqrt": "^0.1.0",
+    "@stdlib/math-base-special-sqrt": "^0.1.1",
     "@stdlib/string-format": "^0.1.1",
     "@stdlib/types": "^0.1.0"
   },
   "devDependencies": {
     "@stdlib/array-buffer": "^0.1.0",
-    "@stdlib/array-float64": "^0.1.0",
+    "@stdlib/array-float64": "^0.1.1",
     "@stdlib/bench": "^0.1.0",
     "@stdlib/random-base-randu": "^0.1.0",
     "tape": "git+https://github.com/kgryte/tape.git#fix/globby",

test/dist/test.js

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2018 The Stdlib Authors.
+* Copyright (c) 2023 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -21,181 +21,13 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var isnan = require( '@stdlib/math-base-assert-is-nan' );
-var sqrt = require( '@stdlib/math-base-special-sqrt' );
-var incrmeanstdev = require( './../../dist' );
+var main = require( './../../dist' );
 
 
 // TESTS //
 
-tape( 'main export is a function', function test( t ) {
+tape( 'main export is defined', function test( t ) {
 	t.ok( true, __filename );
-	t.strictEqual( typeof incrmeanstdev, 'function', 'main export is a function' );
-	t.end();
-});
-
-tape( 'the function throws an error if not provided an array-like object for an output argument', function test( t ) {
-	var values;
-	var i;
-
-	values = [
-		'5',
-		-5.0,
-		true,
-		false,
-		null,
-		void 0,
-		NaN,
-		{},
-		function noop() {}
-	];
-
-	for ( i = 0; i < values.length; i++ ) {
-		t.throws( badValue( values[i] ), TypeError, 'throws an error when provided '+values[i] );
-	}
-	t.end();
-
-	function badValue( value ) {
-		return function badValue() {
-			incrmeanstdev( value );
-		};
-	}
-});
-
-tape( 'the function returns an accumulator function', function test( t ) {
-	t.equal( typeof incrmeanstdev(), 'function', 'returns a function' );
-	t.end();
-});
-
-tape( 'the function returns an accumulator function (output)', function test( t ) {
-	t.equal( typeof incrmeanstdev( [ 0.0, 0.0 ] ), 'function', 'returns a function' );
-	t.end();
-});
-
-tape( 'the accumulator function incrementally computes an arithmetic mean and corrected sample standard deviation', function test( t ) {
-	var expected;
-	var actual;
-	var data;
-	var acc;
-	var N;
-	var i;
-
-	data = [ 2.0, 3.0, 2.0, 4.0, 3.0, 4.0 ];
-	N = data.length;
-
-	// Test against Julia:
-	expected = [
-		[ 2.0, 0.0 ],
-		[ 2.5, sqrt( 0.5 ) ],
-		[ 7.0/3.0, sqrt( 0.33333333333333337 ) ],
-		[ 11.0/4.0, sqrt( 0.9166666666666666 ) ],
-		[ 14.0/5.0, sqrt( 0.7 ) ],
-		[ 18.0/6.0, sqrt( 0.8 ) ]
-	];
-
-	acc = incrmeanstdev();
-
-	for ( i = 0; i < N; i++ ) {
-		actual = acc( data[ i ] );
-		t.deepEqual( actual, expected[ i ], 'returns expected value' );
-	}
-	t.end();
-});
-
-tape( 'the accumulator function incrementally computes an arithmetic mean and corrected sample standard deviation (output)', function test( t ) {
-	var expected;
-	var actual;
-	var data;
-	var acc;
-	var out;
-	var N;
-	var i;
-
-	data = [ 2.0, 3.0, 2.0, 4.0, 3.0, 4.0 ];
-	N = data.length;
-
-	// Test against Julia:
-	expected = [
-		[ 2.0, 0.0 ],
-		[ 2.5, sqrt( 0.5 ) ],
-		[ 7.0/3.0, sqrt( 0.33333333333333337 ) ],
-		[ 11.0/4.0, sqrt( 0.9166666666666666 ) ],
-		[ 14.0/5.0, sqrt( 0.7 ) ],
-		[ 18.0/6.0, sqrt( 0.8 ) ]
-	];
-	out = [ 0.0, 0.0 ];
-	acc = incrmeanstdev( out );
-
-	for ( i = 0; i < N; i++ ) {
-		actual = acc( data[ i ] );
-		t.equal( actual, out, 'returns output array' );
-		t.deepEqual( actual, expected[ i ], 'returns expected value' );
-	}
-	t.end();
-});
-
-tape( 'if not provided an input value, the accumulator function returns the current mean and corrected sample standard deviation', function test( t ) {
-	var data;
-	var acc;
-	var i;
-
-	data = [ 2.0, 3.0, 1.0 ];
-	acc = incrmeanstdev();
-	for ( i = 0; i < data.length; i++ ) {
-		acc( data[ i ] );
-	}
-	t.deepEqual( acc(), [ 2.0, 1.0 ], 'returns expected value' );
-	t.end();
-});
-
-tape( 'if data has yet to be provided, the accumulator function returns `null`', function test( t ) {
-	var acc = incrmeanstdev();
-	t.equal( acc(), null, 'returns null' );
-	t.equal( acc(), null, 'returns null' );
-	t.equal( acc(), null, 'returns null' );
-	t.end();
-});
-
-tape( 'the sample standard deviation is `0` until at least 2 datums have been provided', function test( t ) {
-	var acc;
-	var ms;
-
-	acc = incrmeanstdev();
-
-	ms = acc();
-	t.equal( ms, null, 'returns null' );
-
-	ms = acc( 3.0 );
-	t.equal( ms[ 1 ], 0.0, 'returns expected value' );
-
-	ms = acc();
-	t.equal( ms[ 1 ], 0.0, 'returns expected value' );
-
-	ms = acc( 5.0 );
-	t.notEqual( ms[ 1 ], 0.0, 'does not return 0' );
-
-	ms = acc();
-	t.notEqual( ms[ 1 ], 0.0, 'does not return 0' );
-
-	t.end();
-});
-
-tape( 'if provided `NaN`, the accumulated values are `NaN` for all future invocations', function test( t ) {
-	var data;
-	var acc;
-	var v;
-	var i;
-
-	data = [ NaN, 2.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 ];
-	acc = incrmeanstdev();
-	for ( i = 0; i < data.length; i++ ) {
-		v = acc( data[ i ] );
-		t.equal( isnan( v[ 0 ] ), true, 'returns expected value' );
-		t.equal( isnan( v[ 1 ] ), true, 'returns expected value' );
-
-		v = acc();
-		t.equal( isnan( v[ 0 ] ), true, 'returns expected value' );
-		t.equal( isnan( v[ 1 ] ), true, 'returns expected value' );
-	}
+	t.strictEqual( main !== void 0, true, 'main export is defined' );
 	t.end();
 });