jepler/micropython-ulab
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

Modulo (#734)

Browse source 
* add modulo operator

* fix module loops

* add in-place modulo operator

* update readme

* add test files, update documentation
This commit is contained in:
Zoltán Vörös 2025-08-05 20:40:40 +02:00 committed by GitHub
parent a0999aba79
commit 068da5fc96
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
5 changed files with 142 additions and 11 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
docs/manual/source/conf.py
View file

@ -27,7 +27,7 @@ copyright = '2019-2025, Zoltán Vörös and contributors'
author = 'Zoltán Vörös'
# The full version, including alpha/beta/rc tags
release = '6.7.3'
release = '6.9.0'
# -- General configuration ---------------------------------------------------

12
docs/manual/source/ulab-ndarray.rst
View file

@ -1814,12 +1814,12 @@ array.
Binary operators
================
``ulab`` implements the ``+``, ``-``, ``*``, ``/``, ``**``, ``<``,
``>``, ``<=``, ``>=``, ``==``, ``!=``, ``+=``, ``-=``, ``*=``, ``/=``,
``**=`` binary operators, as well as the ``AND``, ``OR``, ``XOR``
bit-wise operators that work element-wise. Note that the bit-wise
operators will raise an exception, if either of the operands is of
``float`` or ``complex`` type.
``ulab`` implements the ``+``, ``-``, ``*``, ``/``, ``**``, ``%``,
``<``, ``>``, ``<=``, ``>=``, ``==``, ``!=``, ``+=``, ``-=``, ``*=``,
``/=``, ``**=``, ``%=`` binary operators, as well as the ``AND``,
``OR``, ``XOR`` bit-wise operators that work element-wise. Note that the
bit-wise operators will raise an exception, if either of the operands is
of ``float`` or ``complex`` type.
Broadcasting is available, meaning that the two operands do not even
have to have the same shape. If the lengths along the respective axes

8
docs/ulab-convert.ipynb
View file

@ -14,7 +14,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2022-02-09T06:27:15.118699Z",
@ -61,7 +61,7 @@
"author = 'Zoltán Vörös'\n",
"\n",
"# The full version, including alpha/beta/rc tags\n",
"release = '6.7.3'\n",
"release = '6.9.0'\n",
"\n",
"\n",
"# -- General configuration ---------------------------------------------------\n",
@ -217,7 +217,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2022-02-09T06:27:21.647179Z",
@ -258,7 +258,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2022-02-09T06:27:42.024028Z",

26
tests/2d/numpy/modulo.py Normal file
View file

@ -0,0 +1,26 @@
try:
from ulab import numpy as np
except:
import numpy as np
dtypes = (np.uint8, np.int8, np.uint16, np.int16, np.float)
for dtype1 in dtypes:
x1 = np.array(range(6), dtype=dtype1).reshape((2, 3))
for dtype2 in dtypes:
x2 = np.array(range(1, 4), dtype=dtype2)
print(x1 % x2)
print()
print('=' * 30)
print('inplace modulo')
print('=' * 30)
print()
for dtype1 in dtypes:
x1 = np.array(range(6), dtype=dtype1).reshape((2, 3))
for dtype2 in dtypes:
x2 = np.array(range(1, 4), dtype=dtype2)
x1 %= x2
print(x1)

105
tests/2d/numpy/modulo.py.exp Normal file
View file

@ -0,0 +1,105 @@
array([[0, 1, 2],
[0, 0, 2]], dtype=uint8)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0, 1, 2],
[0, 0, 2]], dtype=uint16)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0, 1, 2],
[0, 0, 2]], dtype=int8)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0, 0, 1],
[0, 2, 0]], dtype=uint8)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0, 1, 2],
[0, 0, 2]], dtype=uint16)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
==============================
inplace modulo
==============================
array([[0, 1, 2],
[0, 0, 2]], dtype=uint8)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0, 0, 1],
[0, 2, 0]], dtype=uint8)
array([[0, 0, 1],
[0, 0, 0]], dtype=int16)
array([[0.0, 0.0, 1.0],
[0.0, 0.0, 0.0]], dtype=float64)
array([[0.0, 0.0, 1.0],
[0.0, 0.0, 0.0]], dtype=float64)
array([[0.0, 0.0, 1.0],
[0.0, 0.0, 0.0]], dtype=float64)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0, 1, 2],
[0, 0, 2]], dtype=int16)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)
array([[0.0, 1.0, 2.0],
[0.0, 0.0, 2.0]], dtype=float64)