colss
Fast expression evaluator for NumPy.
GitHub: https://github.com/SivaPA08/colss
Features
| Category | Support |
|---|---|
| Arithmetic | + - * / % |
| Bitwise | & | ~ << >> ^ |
| Logical | && || ! |
| Comparison | == != < <= > >= |
| Ternary | ?: |
| Trigonometric | sin cos tan asin acos atan |
| Logarithmic | log log10 |
| Exponential | exp |
| Root | sqrt |
| Rounding | floor ceil round |
| Utility | abs min max |
Installation
pip install colss
Usage
import numpy as np
import colss as cs
a = np.array([1.0, 2.0, 3.0])
b = np.array([4.0, 5.0, 6.0])
print(cs.query("a + b", a=a, b=b))
print(cs.query("sqrt(a) + sin(b)", a=a, b=b))
print(cs.query("a > b ? a : b", a=a, b=b))
print(cs.query("max(1,1,3,1,1)"))
Syntax
a + b
a - b
a * b
a / b
a % b
a ^ b
(a + b) * c
a > b
a <= b
a == b
(a > 0) && (b > 0)
(a > 0) || (b > 0)
!(a > 0)
a > b ? a : b
Functions
abs(x)
sqrt(x)
log(x)
log10(x)
exp(x)
sin(x)
cos(x)
tan(x)
asin(x)
acos(x)
atan(x)
floor(x)
ceil(x)
round(x)
min(...)
max(...)
min() and max() support multiple arguments.
cs.query("max(1,1,3,1,1)")
cs.query("min(a,b,c,d)")
Multidimensional Arrays
colss supports multidimensional arrays directly.
import numpy as np
import colss as cs
a = np.random.rand(2, 3, 4)
b = np.random.rand(2, 3, 4)
res = cs.query("a + b", a=a, b=b)
print(res.shape)
Notes
- Arrays in the same expression must have identical shapes.
query()returns a NumPy array.- For best performance, use
float64and C-contiguous arrays. - No constants are built in.
1 maintainer
Metadata
1 maintainer
Release files for colss 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 3.6 MB
Release files / colss-0.3.1-cp313-cp313-win_amd64.whl
| Download URL | colss-0.3.1-cp313-cp313-win_amd64.whl |
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| Size | 116.0 kB |
| Tags | CPython 3.13 Windows x86-64 |
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| Size | 257.6 kB |
| Tags | CPython 3.13 Linux glibc 2.17+ x86-64 |
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