		{
		"name": "numpy-parser",
		"version": "1.0.1",
		"version": "1.0.2",
		"description": "A JS parser for binary .npy files.",
		@@ -11,3 +11,3 @@ "main": "src/main.js",
		"type": "git",
		"url": "git+https://github.com/distillpub/numpy-parser.git"
		"url": "git+https://github.com/ludwigschubert/js-numpy-parser.git"
		},
		@@ -18,18 +18,13 @@ "keywords": [
		"npy",
		"parser",
		"reader",
		"loader"
		"parser"
		],
		"author": "Ludwig Schubert",
		"license": "UNLICENSED",
		"license": "Apache-2.0",
		"bugs": {
		"url": "https://github.com/distillpub/numpy-parser/issues"
		"url": "https://github.com/ludwigschubert/js-numpy-parser/issues"
		},
		"homepage": "https://github.com/distillpub/numpy-parser#readme",
		"homepage": "https://github.com/ludwigschubert/js-numpy-parser#readme",
		"devDependencies": {
		"mocha": "^3.4.2"
		},
		"dependencies": {
		"filereader": "^0.10.3"
		"mocha": "^5.2.0"
		}
		}

README.md

		# numpy-parser
		A JS parser for binary .npy files.
		A JS parser for (binary) `.npy` files, supporting all TypedArray subclasses:

		Only supports UInt, Int and Floats at the moment.
		* float32 & float64
		* int8, int16, int32
		* uint8, uint16, uint32

		This is a loosely cleaned up version of a gist by nvictus:
		https://gist.github.com/nvictus/88b3b5bfe587d32ac1ab519fd0009607
		## Acknowledgements

		This implementation was inspired by [this gist by nvictus](https://gist.github.com/nvictus/88b3b5bfe587d32ac1ab519fd0009607).

		## Future Work

		`.npy` files can encode floats as 16 bit long, too. While JS runtimes may not support this as a native data type, we could still consider supporting it and parsing into 32 bit floats to at least get the bandwidth savings in transit.

src/main.js

		@@ -1,2 +0,1 @@

		function asciiDecode(buffer) {
		@@ -16,2 +15,3 @@ const castBuffer = new Uint8Array(buffer);
		switch (dtype) {

		// Unsigned Integer
		@@ -21,5 +21,6 @@ case '\|u1':
		case '<u2':
		return new UInt16Array(buffer, offset);
		return new Uint16Array(buffer, offset);
		case '<u4':
		return new UInt32Array(buffer, offset);
		return new Uint32Array(buffer, offset);

		// Integer
		@@ -29,5 +30,6 @@ case '\|i1':
		case '<i2':
		return new Int16rray(buffer, offset);
		return new Int16Array(buffer, offset);
		case '<i4':
		return new Int32Array(buffer, offset);

		// Floating Point
		@@ -63,3 +65,2 @@ case '<f4':
		if (header.fortran_order) {
		// TODO: figure out if/how to handle this
		throw new Error('file is in Fortran byte order; giving up')
		@@ -66,0 +67,0 @@ }

.npmignore

test/data/array_uint8.npy

test/test.js

yarn.lock

numpy-parser - npm Package Compare versions

New alerts