nadder - npm Package Compare versions

Comparing version 0.0.1 to 0.0.2

lib/core/evaluate/index.js

@@ -199,2 +199,21 @@ "use strict";
     };
+    const powExpr = () => {
+        let left = unit();
+        while (tokens[0] && tokens[0].t == 0 /* TokenType.Operator */) {
+            switch (tokens[0].v) {
+                case '**':
+                    tokens.shift();
+                    const right = unit();
+                    if (left === Math.E)
+                        left = ops.exp(right);
+                    else if (left === 2)
+                        left = ops.exp2(right);
+                    else
+                        left = ops.pow(left, right);
+                    break;
+                default: return left;
+            }
+        }
+        return left;
+    };
     const mulExpr = () => {
@@ -201,0 +220,0 @@ let left = unit();

lib/core/ndarray.js

@@ -453,2 +453,3 @@ "use strict";
     const flat = Array.isArray(data) ? data.flat(Infinity) : [data];
+    // potentially optimizable
     const arr = ndarray(type, dims);
@@ -455,0 +456,0 @@ for (let i = 0; i < flat.length; ++i) {

lib/util/ufunc/ops/numeric.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-exports.tan = exports.cos = exports.sin = exports.expm1 = exports.exp = exports.sqrt = exports.div = exports.neg = exports.pos = exports.conj = exports.conjugate = exports.abs = exports.mod = exports.floorDiv = exports.mul = exports.sub = exports.add = void 0;
+exports.tan = exports.cos = exports.sin = exports.expm1 = exports.exp2 = exports.exp = exports.sqrt = exports.div = exports.neg = exports.pos = exports.conj = exports.conjugate = exports.abs = exports.mod = exports.pow = exports.floorDiv = exports.mul = exports.sub = exports.add = void 0;
 const ufunc_1 = require("../ufunc");
@@ -54,3 +54,7 @@ const identity = (x) => x;
 }));
-exports.mod = (0, ufunc_1.ufunc)('div', 2, 1, ...typeImpls((a, b) => a % b, (a, b) => a % b));
+exports.pow = (0, ufunc_1.ufunc)('pow', 2, 1, ...typeImpls((a, b) => a ** b, (a, b) => a ** b), complexTypeImpl((a, b) => {
+    // TODO
+    throw new TypeError('pow is not implemented for complex numbers');
+}));
+exports.mod = (0, ufunc_1.ufunc)('mod', 2, 1, ...typeImpls((a, b) => a % b, (a, b) => a % b));
 exports.abs = (0, ufunc_1.ufunc)('abs', 1, 1, (0, ufunc_1.opImpl)([[1024 /* DataType.Bool */]], [1024 /* DataType.Bool */], identity), (0, ufunc_1.opImpl)([[1 /* DataType.Int8 */]], [1 /* DataType.Int8 */], Math.abs), (0, ufunc_1.opImpl)([[2 /* DataType.Uint8 */]], [2 /* DataType.Uint8 */], Math.abs), (0, ufunc_1.opImpl)([[4 /* DataType.Uint8Clamped */]], [4 /* DataType.Uint8Clamped */], Math.abs), (0, ufunc_1.opImpl)([[8 /* DataType.Int16 */]], [8 /* DataType.Int16 */], Math.abs), (0, ufunc_1.opImpl)([[16 /* DataType.Uint16 */]], [16 /* DataType.Uint16 */], Math.abs), (0, ufunc_1.opImpl)([[32 /* DataType.Int32 */]], [32 /* DataType.Int32 */], Math.abs), (0, ufunc_1.opImpl)([[64 /* DataType.Uint32 */]], [64 /* DataType.Uint32 */], Math.abs), (0, ufunc_1.opImpl)([[4096 /* DataType.Int64 */]], [4096 /* DataType.Int64 */], a => a < 0 ? -a : a), (0, ufunc_1.opImpl)([[8192 /* DataType.Uint64 */]], [8192 /* DataType.Uint64 */], a => a < 0 ? -a : a), (0, ufunc_1.opImpl)([[128 /* DataType.Float32 */]], [128 /* DataType.Float32 */], Math.abs), (0, ufunc_1.opImpl)([[256 /* DataType.Float64 */]], [256 /* DataType.Float64 */], Math.abs), (0, ufunc_1.opImpl)([[512 /* DataType.Complex */]], [256 /* DataType.Float64 */], (a) => +a));
@@ -98,5 +102,11 @@ exports.conjugate = (0, ufunc_1.ufunc)('conjugate', 1, 1, (0, ufunc_1.opImpl)([[1024 /* DataType.Bool */, 1 /* DataType.Int8 */]], [1 /* DataType.Int8 */], (a) => +a), (0, ufunc_1.opImpl)([[2 /* DataType.Uint8 */]], [2 /* DataType.Uint8 */], identity), (0, ufunc_1.opImpl)([[4 /* DataType.Uint8Clamped */]], [4 /* DataType.Uint8Clamped */], identity), (0, ufunc_1.opImpl)([[8 /* DataType.Int16 */]], [8 /* DataType.Int16 */], identity), (0, ufunc_1.opImpl)([[16 /* DataType.Uint16 */]], [16 /* DataType.Uint16 */], identity), (0, ufunc_1.opImpl)([[32 /* DataType.Int32 */]], [32 /* DataType.Int32 */], identity), (0, ufunc_1.opImpl)([[64 /* DataType.Uint32 */]], [64 /* DataType.Uint32 */], identity), (0, ufunc_1.opImpl)([[4096 /* DataType.Int64 */]], [4096 /* DataType.Int64 */], identity), (0, ufunc_1.opImpl)([[8192 /* DataType.Uint64 */]], [8192 /* DataType.Uint64 */], identity), (0, ufunc_1.opImpl)([[128 /* DataType.Float32 */]], [128 /* DataType.Float32 */], identity), (0, ufunc_1.opImpl)([[256 /* DataType.Float64 */]], [256 /* DataType.Float64 */], identity), (0, ufunc_1.opImpl)([[512 /* DataType.Complex */]], [512 /* DataType.Complex */], (a) => ({ real: a.real, imag: -a.imag })));
 }));
+exports.exp2 = (0, ufunc_1.ufunc)('exp2', 1, 1, ...floatTypeImpls(a => 2 ** a, a => {
+    const base = 2 ** a.real;
+    const rad = a.imag * Math.LN2;
+    return { real: base * Math.cos(rad), imag: base * Math.sin(rad) };
+}));
 exports.expm1 = (0, ufunc_1.ufunc)('expm1', 1, 1, ...floatTypeImpls(Math.expm1, a => {
-    const base = Math.expm1(a.real);
-    return { real: base * Math.cos(a.imag), imag: base * Math.sin(a.imag) };
+    // This loses precision if a.real and a.imag are near 0 - possible TODO
+    // Though expm1 probably shouldn't be used for complex numbers anyway
+    return { real: Math.exp(a.real) * Math.cos(a.imag) - 1, imag: Math.exp(a.real) * Math.sin(a.imag) };
 }));
@@ -103,0 +113,0 @@ exports.sin = (0, ufunc_1.ufunc)('sin', 1, 1, ...floatTypeImpls(Math.sin, a => ({

package.json

 {
   "name": "nadder",
-  "version": "0.0.1",
+  "version": "0.0.2",
   "description": "ndarray/tensor data processing for modern browsers",
+  "keywords": ["ndarray", "tensor", "numpy", "stdlib", "matlab"],
+  "author": "Arjun Barrett",
+  "homepage": "https://github.com/101arrowz/nadder",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/101arrowz/nadder"
+  },
+  "bugs": {
+    "url": "https://github.com/101arrowz/nadder/issues",
+    "email": "[e-mail]"
+  },
   "main": "lib/index.js",
   "module": "esm/index.js",
-  "types": "lib/index.d.ts",
-  "author": "Arjun Barrett",
+  "types": "lib/index.d.ts",  
   "scripts": {
-    "build": "tsc && tsc -p tsconfig.esm.json && node scripts/postbuild"
+    "build": "tsc && tsc -p tsconfig.esm.json && node scripts/postbuild",
+    "prepare": "yarn build"
   },
@@ -12,0 +23,0 @@ "devDependencies": {

README.md

 # nadder
 Easy n-dimensional data manipulation with NumPy syntax.
 
+## Installation
+```sh
+npm i nadder # or yarn add nadder, or pnpm add nadder
+```
+
 ## Usage
@@ -45,3 +50,3 @@ ```js
 - Ergonomic NumPy slicing, broadcasting
-  - 
+  - All NumPy bracket syntax and indexing routines supported
 - NumPy syntax and evaluation via `evaluate`
@@ -52,3 +57,3 @@ - Full support for arithmetic, advanced ops, etc.
 - Interleaved complex numbers
-- Arithmetic, algebraic, and trigonometric operators for real and complex numbers
+- Arithmetic, algebraic, and trigonometric operations for real and complex numbers
 - Full TypeScript support
@@ -55,0 +60,0 @@ - In progress: support for most NumPy manipulations, more fast paths for higher performance, fast WASM modules

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Improved metrics

Total package byte prevSize

280759

increased by3.43%

Number of low maintenance alerts

0

decreased by-100%

Number of low quality alerts

1

decreased by-50%

Number of lines in readme file

65

increased by8.33%

Number of low supply chain risk alerts

0

decreased by-100%

Worsened metrics

Number of package files

60

decreased by-14.29%

Lines of code

4192

decreased by-5.73%

No dependency changes