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Python JIT compiler for near-native performance of low-level arithmetic
These are generic installation instructions.
Install the current release from PyPI to a virtual environment:
python3 -m venv venvname
venvname/bin/pip install -U pip
venvname/bin/pip install pyrbo
. venvname/bin/activate
pip3 install --user pyrbo
See ~/.local/bin
for executables.
First install venvpool to get the motivate
command:
pip3 install --user venvpool
Get codebase and install executables:
git clone git@github.com:combatopera/pyrbo.git
motivate pyrbo
Requirements will be satisfied just in time, using sibling projects with matching .egg-info if any.
def turbo(**kwargs)
Accelerate the decorated function or method using Cython.
The types
kwarg is a dict of local variables (including params) to their numpy type.
(If types
would be the only kwarg, its contents may be provided to turbo
directly.)
FAQs
Python JIT compiler for near-native performance of low-level arithmetic
We found that pyrbo demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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