* add modulo operator

* fix module loops

* add in-place modulo operator

* update readme

* add test files, update documentation
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Zoltán Vörös 2025-08-05 20:40:40 +02:00 committed by GitHub
parent a0999aba79
commit 068da5fc96
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5 changed files with 142 additions and 11 deletions

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

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

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

26
tests/2d/numpy/modulo.py Normal file
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@ -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)

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@ -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)