numfi
numfi is a numpy.ndarray subclass that does fixed-point arithmetic.
Feature:
-
Automatically perform fixed-point arithmetic through overloaded operators
-
Maximum compatibility with numpy and other library, just like a normal numpy.ndarray
-
Optimized calculation speed by minimizing quantization as much as possible
Install
Prerequisite: python3 and numpy
pip install numfi
or you can just copy numfi.py and do whatever you want, after all it's only 200 lines of code
Quick start
from numfi import numfi
# numfi(array=[], signed=1, bits_word=32, bits_frac=16, rounding='round', overflow='wrap')
x = numfi(np.random.rand(3,3),1,16,8)
# any arithmetic operation with numfi will return a numfi object with proper precision and value
y = x + 1
z = x * 2
w = np.sin(x)
...
Document
Details can be found here: https://numfi.readthedocs.io/en/latest/?
License
The project is licensed under the MIT license.
1 maintainer
Release files for numfi 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numfi-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / numfi-0.2.1-py3-none-any.whl
| Download URL | numfi-0.2.1-py3-none-any.whl |
|---|---|
| Size | 10.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0cb8cbfe0f6d15ee68ea6fa93893739474f7438858a6613f1222dddc7f7f927d
|
|
BLAKE2b-256 checksum How to use checksums |
b4643a880a8f25f3e6fd4e01ebee196f8f273ebe9a1ff66e76b61677efbf0fb6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5
|
