SFFloat class for floating point computations that account for precision or 'sig figs'.
Project description
sffloat
The sffloat package defines a SFFloat class that allows easy floating point computations
that take precision or "significant figures" into account.
features
- Seamlessly mix
floatandSFFloatobjects in arithmetic. Standard floating point objects are automatically promoted toSFFloatwhen necessary. - Print and display
SFFloatobjects as if they are standardfloatnumbers. - Compare
SFFloatobjects with floating point numbers to determine equivalence, taking precision into account. - Use
SFFloatversions of all standard Python math functions.
example use
importing SFFloat
from sffloat import SFFloat
calculating circle area using an imprecise radius
# Create a floating point radius value of 3.4 with 2 sig figs
from math import pi
radius = SFFloat(3.4, 2)
# Compute the circle area, with sig figs
area = pi * radius ** 2
print(area)
36
addition example
a = SFFloat(0.00123, 3)
b = SFFloat(0.1234, 4)
print(a + b)
0.1246
mix SFFloat with float
a = SFFloat(0.00123, 3)
print(a + 12.3456789)
12.34691
use SFFloat standard math functions
from math import pi
from sffloat import sfsin as sin
angle = SFFloat(pi / 4, 3)
print(f"The angle is {angle}; its raw value is {angle.value}")
print(f"The sine of {angle} is {sin(angle)}; its raw value is {sin(angle).value}")
The angle is 0.785; its raw value is 0.7853981633974483
The sine of 0.785 is 0.707; its raw value is 0.7071067811865475
supported functions
If you want to use one of the standard Python math functions while preserving precision then use any of the following replacement functions. You can either import and use as-is, or import and assign the standard function name:
from sffloat import sfsin
or
from sffloat import sfsin as sin
- sfsin replaces sin
- sfcos replaces cos
- sftan replaces tan
- sflog replaces log
- sflog10 replaces log10
- sfasin replaces asin
- sfacos replaces acos
- sfatan replaces atan
- sfatan2 replaces atan2
- sfexp replaces exp
- sfpow replaces pow
- sfsqrt replaces sqrt
- sfdegrees replaces degrees
- sfradians replaces radians
notes on functionality
- Operation with standard functions is not sophisticated and follows the same rules that are used for ordinary multiplication (minimum significant figures propagate as-is).
- When ordinary floating point numbers are used with
SFFloatvalues, the floating point values are considered to have unlimited precision. - Addition or subtraction operations on
SFFloatvalues may result in "zero" or "negative" significant figures. - "zero" sig fig values will continue to be used correctly for subsequent addition or subtraction operations.
- "zero" sig fig values will produce an exception when used in a function or multiplication operation.
- "zero" sig fig values will be displayed as '0'.
- The underlying full-precision floating point value of a
SFFloatobject may be accessed with its.valueproperty. - The underlying significant figures of a
SFFloatobject may be accessed with its.sigfigsproperty. sffloatdoes not attempt to infer precision from initializing value (at the present time).SFFloatobjects display in rounded form using thesigfig.roundfunction.SFFloatobjects display in standard format for values between 0.001 and 1000, and for 0, otherwise scientific notation is used.
installation
The best way to install sffloat is with pip and virtualenv. Create and activate your virtual environment then
install sffloat with:
pip install sffloat
requirements
sffloat depends on sigfig, which will be installed automatically when using pip.
development environment
To begin working with sffloat in a development environment:
- Clone this repository and
cdinto it. - Create a virtual environment:
python3 -m venv ./env - Activate the virtual environment:
source ./env/bin/activate - Install the dependencies:
pip install -r requirements.txt
The ./scripts folder includes a run_tests.sh script that will:
- Perform a style check using black.
- Perform a pylint check.
- Execute the test cases using nose.
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