semvec/pypi-packages huggingface dataset:
malix-swain 0.0.5
An api for generating disposable mails.
Requires Python: >=3.6
Keywords: temp mail,fake mail,disposable email,api.mail.tm

# Malix
API for generating disposable emails(technically it's an API wrapper for api.mail.tm)

You can find the documentation of this project - [here.](https://malix.readthedocs.io/en/latest/)

## Installing


This library is available in PyPI, and you can get it by pip using the following command

    py -m pip install -U malix-swain

Or you can clone the source code by git using the following commnad

    git clone https://github.com/sunilswain/Malix

then go to same directory as Malix and run setup.py using this command

    py setup.py install


## Contact me

**mail** - [sunilswain5555@pm.me](mailto:sunilswain5555@pm.me)

**discord** - rintu#6624
pybnf1.2.1 1.2.0
An application for parallel fitting of BioNetGen and SBML models using metaheuristics
Requires Python: >=3.5

![alt text](docs/Logo1.png "PyBioNetFit")

PyBioNetFit (PyBNF) is a general-purpose program for parameterizing biological models specified using the BioNetGen
rule-based modeling language (BNGL) or the Systems Biology Markup Language (SBML). PyBioNetFit offers a suite of
parallelized metaheuristic algorithms (differential evolution, particle swarm optimization, scatter search) for
parameter optimization. In addition to model parameterization, PyBNF supports uncertainty quantification by
bootstrapping or Bayesian approaches, and model checking. PyBNF includes an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm, which supports Bayesian inference. PyBNF includes the Biological Property Specification Language
(BPSL) for defining qualitative data for use in parameterization or checking. It runs on most Linux and macOS
workstations as well on computing clusters.

For documentation, refer to [Documentation_PyBioNetFit.pdf](Documentation_PyBioNetFit.pdf) or the online documentation at <https://pybnf.readthedocs.io/en/latest/>.

PyBioNetFit is released under the BSD-3 license. For more information, refer to the
[LICENSE](LICENSE). LANL code designation: C18062
pybnfalabuda 1.2.0
An application for parallel fitting of BioNetGen and SBML models using metaheuristics
Requires Python: >=3.5

![alt text](docs/Logo1.png "PyBioNetFit")

PyBioNetFit (PyBNF) is a general-purpose program for parameterizing biological models specified using the BioNetGen
rule-based modeling language (BNGL) or the Systems Biology Markup Language (SBML). PyBioNetFit offers a suite of
parallelized metaheuristic algorithms (differential evolution, particle swarm optimization, scatter search) for
parameter optimization. In addition to model parameterization, PyBNF supports uncertainty quantification by
bootstrapping or Bayesian approaches, and model checking. PyBNF includes an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm, which supports Bayesian inference. PyBNF includes the Biological Property Specification Language
(BPSL) for defining qualitative data for use in parameterization or checking. It runs on most Linux and macOS
workstations as well on computing clusters.

For documentation, refer to [Documentation_PyBioNetFit.pdf](Documentation_PyBioNetFit.pdf) or the online documentation at <https://pybnf.readthedocs.io/en/latest/>.

PyBioNetFit is released under the BSD-3 license. For more information, refer to the
[LICENSE](LICENSE). LANL code designation: C18062
pytest-manual-marker 2.0.0.0
pytest marker for marking manual tests
Requires Python: >=3.7
Keywords: manual,py.test,pytest,testing


# pytest-manual-marker

Pytest marker for marking manual tests. Adds options for collecting manual, automated (default) or both.

Adds a different test outcome for manaual tests.

## Usage

```python
# content of test_manual.py
import pytest

@pytest.mark.manual
def test_manual():
    """this needs a opt in and will report manual as test status"""

def test_automated():
    """this is a empty test just for shows"""
```


### collect only manual tests

```console
$ pytest --collect-only -q --manual
test_manual.py::test_manual

1/2 tests collected (1 deselected) in 0.00s
```

### collect only automated tests

```console
$ pytest --collect-only -q
test_manual.py::test_automated

1/2 tests collected (1 deselected) in 0.00s
```

### collect manual and automated tests

```console
$ pytest --collect-only -q --include-manual  # collect both manual and automated tests
test_manual.py::test_manual
test_manual.py::test_automated

2 tests collected in 0.00s
```

## Install

Install this plugin::

```console
! pip install pytest-manual-marker
```