Symbolic computations.
Project description
symba
In what follows python
is an alias for python3.5
or pypy3.5
or any later version (python3.6
, pypy3.6
and so on).
Installation
Install the latest pip
& setuptools
packages versions
python -m pip install --upgrade pip setuptools
User
Download and install the latest stable version from PyPI
repository
python -m pip install --upgrade symba
Developer
Download the latest version from GitHub
repository
git clone https://github.com/lycantropos/symba.git
cd symba
Install dependencies
python -m pip install -r requirements.txt
Install
python setup.py install
Usage
>>> from symba.base import Expression, sqrt
>>> golden_ratio = (1 + sqrt(5)) / 2
>>> isinstance(golden_ratio, Expression)
True
>>> golden_ratio * golden_ratio == golden_ratio + 1
True
>>> 1 / golden_ratio == golden_ratio - 1
True
>>> def fibonacci(index: int) -> Expression:
... """
... Based on:
... https://en.wikipedia.org/wiki/Golden_ratio#Relationship_to_Fibonacci_sequence
... """
... golden_ratio_power = golden_ratio ** index
... return ((golden_ratio_power - (-1) ** index / golden_ratio_power)
... / sqrt(5))
>>> fibonacci(0) == 0
True
>>> fibonacci(1) == 1
True
>>> fibonacci(100) == 354224848179261915075
True
Development
Bumping version
Preparation
Install bump2version.
Pre-release
Choose which version number category to bump following semver specification.
Test bumping version
bump2version --dry-run --verbose $CATEGORY
where $CATEGORY
is the target version number category name, possible
values are patch
/minor
/major
.
Bump version
bump2version --verbose $CATEGORY
This will set version to major.minor.patch-alpha
.
Release
Test bumping version
bump2version --dry-run --verbose release
Bump version
bump2version --verbose release
This will set version to major.minor.patch
.
Running tests
Install dependencies
python -m pip install -r requirements-tests.txt
Plain
pytest
Inside Docker
container:
- with
CPython
docker-compose --file docker-compose.cpython.yml up
- with
PyPy
docker-compose --file docker-compose.pypy.yml up
Bash
script (e.g. can be used in Git
hooks):
-
with
CPython
./run-tests.sh
or
./run-tests.sh cpython
-
with
PyPy
./run-tests.sh pypy
PowerShell
script (e.g. can be used in Git
hooks):
- with
CPython
.\run-tests.ps1
or.\run-tests.ps1 cpython
- with
PyPy
.\run-tests.ps1 pypy
Project details
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