Requires Transcrypt commit ba2c278 (not pip-installable, get it from GitHub)
Numscrypt is a port of a small part of NumPy to Transcrypt using JavaScript typed arrays. While some attention is paid to speed, e.g. by optimizing for-loops and operators in Transcrypt, that is currently not the main focus.
Whereas NumPy often has multiple way to do things, Numscrypt focuses on one obvious way. The clearest example is the NumPy type matrix type, that is a specialization of ndarray with confusingly deviating use of some operators. In Transcrypt matrix is deliberately left out, to keep it lean.
One thing Numscrypt does support is the use of views, i.e. references to parts of existing arrays rather than copies. As with NumPy, views are implemented using strides and offsets.
Parts of the code can later be replaced by things like asm.js and simd.js, or, better even, GPGPU code. There’s not yet a clear winner in this area. This implementation is usable as a skeleton to try out those new technologies in parts of the code where speed matters most.
It may seem attractive to compile everything from C++ to asm.js, but the downloads would become very bulky and the readability approaching zero. Or wouldn’t it? Forking and experimenting highly encouraged!!
As with Transcrypt, the eventual goal is not to completely copy a desktop programming environment. Rather a lean and mean subset is sought that can still be very useful, e.g. for science demo’s in the browser.
Jacques de Hooge, Rotterdam, Netherlands
The first computers were used… to compute
What’s new
N.B. Always use the newest version of Transcrypt to be able to use the newest features of Numscrypt.
Low hanging fruit optimizations done for complex and real arrays, e.g. multiplication in natural order 30x faster
For educational and demonstration purposes a simple, non-optimized implementation of complex arrays was added
Ndarray’s mixable with scalars for overloaded ops
Overloaded unary minus added
Preliminary optimizations, speedup 70x for inversion, 10x for multiplication (default: optimize for speed)
Several bugs fixed for working with non-default strides
Start made with module linalg, matrix inversion added + testcase
Overloaded LHS and RHS slicing added to ndarray
Readme adapted
Hsplit, vsplit, hstack, vstack added
Transpose can now deal with non-default strides
Tuple stripping optimization added for simple indices
Overloaded operators added for simple indices e.g. matrix [2, 3, 2] + autotest
Overloaded operators added for +, -, *, / and @, not yet mixable with scalars + autotest
Setup adapted to Linux’ case sensitivity
Dependencies added to setup.py
Changes package name to lowercase
Modest beginning made with ndarray + autotest for it
Other packages you might like
Python to JavaScript transpiler, supporting multiple inheritance and generating lean, highly readable code: https://pypi.python.org/pypi/Transcrypt
Multi-module Python source code obfuscator: https://pypi.python.org/pypi/Opy
PLC simulator with Arduino code generation: https://pypi.python.org/pypi/SimPyLC
A lightweight Python course taking beginners seriously (under construction): https://pypi.python.org/pypi/LightOn
Event driven evaluation nodes: https://pypi.python.org/pypi/Eden
Licence
Copyright 2016 Jacques de Hooge, GEATEC engineering, www.geatec.com
Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Release files for Numscrypt 0.0.29
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Source distribution (sdist)
| File | Size | Uploaded | |
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| Numscrypt-0.0.29.zip | 9.2 MB | Details |
Release files / Numscrypt-0.0.29.zip
| Download URL | Numscrypt-0.0.29.zip |
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