semvec/pypi-packages huggingface dataset:
betapert 0.1.5
Top-level package for beta-PERT distribution.
Requires Python: >=3.9,<3.13

This package provides the [PERT](https://en.wikipedia.org/wiki/PERT_distribution) (also known as beta-PERT) distribution.

Both the PERT distribution and its generalization, the modified PERT distribution, are provided.

The distributions work exactly like SciPy continuous probability distributions. They are subclasses of `rv_continuous`.

# Installation
```shell
# or `poetry add betapert`
pip install betapert
```

# Usage

```python
from betapert import pert, mpert

# Define the distribution:
dist = pert(10, 30, 90)
# Or, using keyword arguments:
dist = pert(mini=10, mode=30, maxi=90)

# Call standard SciPy methods:
dist.pdf(50)
dist.cdf(50)
dist.mean()
dist.rvs(size=10)

# Or, you can directly use the methods on this object:
pert.pdf(50, mini=10, mode=30, maxi=90)
pert.cdf(50, mini=10, mode=30, maxi=90)
pert.mean(mini=10, mode=30, maxi=90)
pert.rvs(mini=10, mode=30, maxi=90, size=10)

# The modified PERT distribution is also available.
# A PERT distribution corresponds to `lambd=4`.
# Note that you cannot call `mpert` without specifying `lambd`
# (`pert` and `mpert` must have different signatures since SciPy does
# not support optional shape parameters).
mdist = mpert(10, 30, 90, lambd=2)

# Values of `lambd<4` have the effect of flattening the density curve
#       6%                 >  1.5%
assert (1 - mdist.cdf(80)) > (1 - dist.cdf(80))
```

# Tests

A thorough test suite is included.

```
❯ pytest
=============== 250 passed in 3.52s ===============
tests/test_frozen.py 
tests/test_generalization.py
tests/test_mpert_parametrized.py
tests/test_special_cases.py 
```
katalytic-data 0.14.0
This plugin adds utilities for working with data to the katalytic namespace
Requires Python: >=3.6
Keywords: high-level,data conversion

# Not fit for public use yet

## Description
TODO: Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.

[![version](https://img.shields.io/pypi/v/katalytic-data)](https://pypi.org/project/katalytic-data/)
[![tests](https://gitlab.com/katalytic/katalytic-data/badges/main/pipeline.svg?key_text=tests&key_width=38)](https://gitlab.com/katalytic/katalytic-data/-/commits/main)
[![coverage](https://gitlab.com/katalytic/katalytic-data/badges/main/coverage.svg)](https://gitlab.com/katalytic/katalytic-data/-/commits/main)
[![docs](https://img.shields.io/readthedocs/katalytic-data.svg)](https://katalytic-data.readthedocs.io/en/latest/)
[![license: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

## Installation
By itself
```bash
pip install katalytic-data
```

As part of the [katalytic](https://gitlab.com/katalytic/katalytic) collection
```bash
pip install katalytic
```

## Usage
TODO: Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.

## Roadmap
- converting data between formats

## Contributing
Contributions can be made in a number of ways:
- Propose architectural or API improvements
- Propose new features
- Propose packaging, building, or deployment improvements
- Report and fix bugs
	- you can also submit an xfail test
- Submit code and tests
- Tell me what I'm doing wrong or when I'm not following best practices
- Update the documentation