semvec/pypi-packages huggingface dataset:
behave-html-formatter 0.9.10
HTML formatter for Behave
Requires Python: >=3.6

# HTML formatter for Behave

To use it with behave create `behave.ini` file in project folder (or in home) with
following content:

```ini
# -- FILE: behave.ini
# Define ALIAS for HtmlFormatter.
[behave.formatters]
html = behave_html_formatter:HTMLFormatter
```

and then use it by running behave with `-f`/`--format` parameter, e.g.

```console
behave -f help
behave -f html
behave -f html -o behave-report.html
```

You can find information about behave and user-defined formatters in the
[behave docs](https://behave.readthedocs.io/en/latest/formatters.html).

## Contributing

You want to help with improving this software? Please create an issue in
our open bug tracker, or open a pull request directly.

We use [tox](https://pypi.org/project/tox/) for running linting and tests,
e.g.

```console
tox
tox -l
tox -e flake8,behave
```

For code formatting we use [black](https://pypi.org/project/black/), which
you can run using our Tox setup, e.g.

```console
tox -e black
```

If you need to change CSS or JavaScript code: First edit the regular files,
then generate the minified versions like so:

```console
tox -e minify
```
scresonatorsTEST 2.0.0
Python library for measuring and fitting superconducting resonator data
Requires Python: >=3.7
Keywords: sample,setuptools,development

# scresonators
Welcome to the scresonators repository of the Boulder Cryogenic Quantum Testbed! This is a library for measuring the loss in superconducting resonators. 

## Installation
1. clone the repository into a folder of your choice with `git clone https://github.com/Boulder-Cryogenic-Quantum-Testbed/scresonators.git`
2. Install the dependencies, we ***strongly*** recommend using [virtual environments](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/) for managing your dependences. To install dependencies run:
  `pip install -r requirements.txt`
3. If you are running on Windows, install Microsoft Visual Studio before using the library
 
## Using the library

Here's an example using some of the data hosted on this repository. Hosted
datasets from groups around the world can be found [here](/cryores/test_data).

This particular example code is meant to be run in the root directory.

```python
import numpy as np
import fit_resonator.functions as ff
import fit_resonator.Sdata as fsd
import fit_resonator.resonator as res

url = 'https://raw.githubusercontent.com/Boulder-Cryogenic-Quantum-Testbed/scresonators/master/cryores/test_data/AWR/AWR_Data.csv'

# Load the raw data:
raw = np.loadtxt(url, delimiter=',')

# Choose a fitting method:
fit_type = 'DCM'
MC_iteration = 10
MC_rounds = 1e3
MC_fix = ['w1']
manual_init = None
method = res.FitMethod(fit_type, MC_iteration, MC_rounds=MC_rounds,
                       MC_fix=MC_fix, manual_init=manual_init, MC_step_const=0.3)

# Fit the data:
fsd.fit("output test", method, normalize=10, data_array=raw)
```

Ane in depth description is given in the fit_resonators folder.


## Code Organization

Until the module is officially distributed, all code should live in the `fit_resonator` namespace. This ensures easy integration
with other Python packages, and avoids name collisions; everything is referred
to as e.g. `fit_resonator.experiments` rather than just `experiments`.
kilroytorch 0.3.3
kilroy pytorch modules 🔥
Requires Python: >=3.9,<4.0

<h1 align="center">kilroytorch</h1>

<div align="center">

kilroy pytorch modules 🔥

[![Tests](https://github.com/kilroybot/kilroytorch/actions/workflows/test-multiplatform.yml/badge.svg)](https://github.com/kilroybot/kilroytorch/actions/workflows/test-multiplatform.yml)
[![Docs](https://github.com/kilroybot/kilroytorch/actions/workflows/docs.yml/badge.svg)](https://github.com/kilroybot/kilroytorch/actions/workflows/docs.yml)

</div>

---

TODO

## Installing

Using `pip`:

```sh
pip install kilroytorch
```

## Usage

TODO