Security News
Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
vivarium-cluster-tools
Advanced tools
.. image:: https://badge.fury.io/py/vivarium-cluster-tools.svg :target: https://badge.fury.io/py/vivarium-cluster-tools
.. image:: https://github.com/ihmeuw/vivarium_cluster_tools/actions/workflows/build.yml/badge.svg?branch=main :target: https://github.com/ihmeuw/vivarium_cluster_tools :alt: Latest Version
.. image:: https://readthedocs.org/projects/vivarium-cluster-tools/badge/?version=latest :target: https://vivarium-cluster-tools.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
Vivarium cluster tools is a python package that makes running vivarium
simulations at scale on a Slurm cluster easy.
You can install this package with
.. code-block:: console
pip install vivarium-cluster-tools
In addition, this tool needs the redis client. This must be installed using conda.
.. code-block:: console
conda install redis
If you have a vivarium
model specifcation file defining a particular model,
you can use that along side a branches file to launch a run of many
simulations at once with variations in the input data, random seed, or with
different parameter settings.
.. code-block:: console
psimulate run /path/to/model_specification.yaml /path/to/branches_file.yaml
The simplest branches file defines a count of input data draws and random seeds to launch.
.. code-block:: yaml
input_draw_count: 25
random_seed_count: 10
This branches file defines a set of simulations for all combinations of 25 input draws and 10 random seeds and so would run, in total, 250 simulations.
You can also define a set of parameter variations to run your model over. Say your original model specification looked something like
.. code-block:: yaml
plugins:
optional: ...
components:
vivarium_public_health:
population:
- BasePopulation()
- Mortality()
disease.models:
- SIS('lower_respiratory_infections')
my_lri_intervention:
components:
- GiveKidsVaccines()
configuration:
population:
population_size: 1000
age_start: 0
age_end: 5
lri_vaccine:
coverage: 0.2
efficacy: 0.8
Defining a simple model of lower respiratory infections and a vaccine intervention. You could then write a branches file that varied over both input data draws and random seeds, but also over different levels of coverage and efficacy for the vaccine. That file would look like
.. code-block:: yaml
input_draw_count: 25
random_seed_count: 10
branches:
lri_vaccine:
coverage: [0.0, 0.2, 0.4, 0.8, 1.0]
efficacy: [0.4, 0.6, 0.8]
The branches file would overwrite your original lri_vaccine
configuration
with each combination of coverage and efficacy in the branches file and launch
a simulation. More, it would run each coverage-efficacy pair in the branches
for each combination of input draw and random seed to produce 25 * 10 * 5 * 3 =
3750 unique simulations.
To read about more of the available features and get a better understanding of how to correctly write your own branches files,
Check out the docs! <https://vivarium-cluster-tools.readthedocs.io/en/latest/>
_FAQs
A set of tools for running simulation using vivarium on cluster.
We found that vivarium-cluster-tools demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 6 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.