semvec/pypi-packages huggingface dataset:
swh.objstorage 5.2.0
Software Heritage object storage
Requires Python: >=3.11

Software Heritage - Object storage
==================================

Content-addressable object storage for the Software Heritage project.


Quick start
-----------

The easiest way to try the swh-objstorage object storage is to install it in a
virtualenv. Here, we will be using
`virtualenvwrapper <https://virtualenvwrapper.readthedocs.io>`_ but any virtual
env tool should work the same.

In the example below we will create a new objstorage using the
`pathslicer <https://docs.softwareheritage.org/devel/apidoc/swh.objstorage.html#module-swh.objstorage.objstorage_pathslicing>`_
backend.


.. code-block:: console

   ~/swh$ mkvirtualenv -p /usr/bin/python3 swh-objstorage
   [...]
   (swh-objstorage) ~/swh$ pip install swh.objstorage
   [...]
   (swh-objstorage) ~/swh$ cat >local.yml <<EOF
   objstorage:
     cls: pathslicing
     root: /tmp/objstorage
     slicing: 0:2/2:4/4:6
   EOF
   (swh-objstorage) ~/swh$ mkdir /tmp/objstorage
   (swh-objstorage) ~/swh$ swh objstorage -C local.yml rpc-serve -p 15003
   INFO:swh.core.config:Loading config file local.yml
   ======== Running on http://0.0.0.0:15003 ========
   (Press CTRL+C to quit)

Now we have an API listening on http://0.0.0.0:15003 we can use to store and
retrieve objects from. In an other terminal, you can import all the files from
a local directory in this objstorage:

.. code-block:: console

   ~/swh$ workon swh-objstorage
   (swh-objstorage) ~/swh$ cat >remote.yml <<EOF
   objstorage:
     cls: remote
     url: http://127.0.0.1:15003
   EOF
   (swh-objstorage) ~/swh$ swh objstorage -C remote.yml import .
   INFO:swh.core.config:Loading config file remote.yml
   Imported 1369 files for a volume of 722837 bytes in 2 seconds


Test dependencies
-----------------

Some tests do require non-python dependencies to be installed on the machine:

- Ceph: the ``ceph`` executable can be used to run winery tests. When the ``ceph``
  binary is available, the winery tests will try to create a real ceph Rados
  Block Device (rbd) pool to run.

- Azurite: the ``azurite`` tool is needed for Azure backend tests. Since it's a
  npm package, you can install it using:

  .. code-block:: console

     ~/swh$ npm install -g azurite

  Note: you may want to configure your npm setup so it uses ``~/.local`` as
  prefix for global installations:

  .. code-block:: console

     ~/swh$ npm config set prefix '~/.local/'
iragca 0.4.1
My custom scripts
Requires Python: >=3.10.0

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

My library of custom python scripts and configurations.

Features
- Custom matplotlib plotting styles and colors
- A run logger for logging training runs in Machine/Deep learning pipelines

## Installation

To install using [pip](https://pypi.org/project/pip/), run:

```bash
pip install iragca

# Only install the matplotlib scripts
pip install iragca[matplotlib]
```

## Quick example

```python
import matplotlib.pyplot as plt

from iragca.matplotlib import Color, Styles

plt.style.use(Styles.CMR10.value)

sample_data = [1, 3, 2, 4, 3, 5]

plt.plot(sample_data, color=Color.BLUE.value)
plt.title("Sample Plot with Custom Style and Color")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.show()
```

<img src="docs/docs/images/sample_plot.png" width=300>
doris-tracker 2025.12.10
DORIS
Requires Python: >=3.13

################################################################
DORIS
################################################################

:Author: `Olivier Friard <http://penelope.unito.it/friard>`_


DORIS is an easy-to-use interactive object detection and tracking software with a graphical user interface.

DORIS is a free and open-source software available for GNU/Linux, Windows and Mac OS.

This project is at an early stage of development. Please report any bugs and suggestions using the GitHub issues tracker.

DORIS web page: `http://www.boris.unito.it/doris <http://www.boris.unito.it/doris>`_

This project was inspired by the **Tracktor project**: https://github.com/vivekhsridhar/tracktor https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13166

Requirements
========================================================================================

* matplotlib
* numpy
* opencv-python-headless (>=4.0.0)
* pandas
* PyQt5
* scikit-learn
* scipy



User guide
========================================================================================

https://doris.readthedocs.io/en/latest/

A video tutorial is available at https://www.youtube.com/watch?v=toSXiqsWRzY (no audio)


Download binaries (executable versions for Linux, Windows and Mac OS)
========================================================================================

See the `Releases page <https://github.com/olivierfriard/DORIS/releases>`_