semvec/pypi-packages huggingface dataset:
jax-scipy-spatial 0.2.6
Scipy spatial API for JAX
Keywords: jax, scipy, spatial, rotation

# jax-scipy-spatial

This package implements `scipy.spatial` API for JAX.

Currently the following items are implemented:

- `scipy.spatial.distance`
- `scipy.spatial.transform.Rotation`
- `scipy.spatial.transform.Slerp`

## Install
```
pip install .
```

## Usage
```
import jax_scipy_spatial.transform as jtr

rotation = jtr.Rotation.from_euler('xyz', jnp.array([0., 0., 180.]), degrees=True)
print(rotation)
```

## Documentation
Please refer to [scipy documentation](https://docs.scipy.org/doc/scipy/reference/spatial.html).

## Contributing

To run unit tests on your local machine:
```
tox
```
dqm-ml-pipeline 1.1.5
Python library designed provide pipelining tools dqm-ml library to compute data quality metrics for Machine Learning
Requires Python: >=3.10
Keywords: ml, metrics, data

# DQM-ML Pipeline

This package provides the orchestration engine for DQM-ML V2. It handles the lifecycle of data processing, from loading to metric computation and output writing.

## Key Components

### `DatasetPipeline`

The main orchestrator that:

* Loads the configuration.
* Discovers plugins via entry points.
* Executes the streaming loop.
* Manages memory and I/O efficiency.

### Protocols

* `DataLoader`: A factory for creating data selections (e.g., Parquet, CSV loaders).
* `DataSelection`: Represents a specific subset of data and provides an iterator over batches.
* `OutputWriter`: Persists computed features or metrics to disk.

## Built-in Loaders

* `parquet`: Optimized loading using PyArrow.
* `csv`: Flexible loading using Pandas.
infostreams 0.1.0
Add your description here
Requires Python: >=3.11

# infostreams

Initial PyPI package scaffold for `infostreams`, using `uv` for build and publish.

## Local workflow

```bash
uv build
uv publish
```

`uv publish` reads `UV_PUBLISH_TOKEN` automatically.

If your token is stored as `PYPI_TOKEN`, run:

```bash
export UV_PUBLISH_TOKEN="$PYPI_TOKEN"
uv publish
```

## TestPyPI

```bash
uv publish --publish-url https://test.pypi.org/legacy/
```
pubsubs 0.1.0
Add your description here
Requires Python: >=3.11

# pubsubs

Initial PyPI package scaffold for `pubsubs`, using `uv` for build and publish.

## Local workflow

```bash
uv build
uv publish
```

`uv publish` reads `UV_PUBLISH_TOKEN` automatically.

If your token is stored as `PYPI_TOKEN`, run:

```bash
export UV_PUBLISH_TOKEN="$PYPI_TOKEN"
uv publish
```

## TestPyPI

```bash
uv publish --publish-url https://test.pypi.org/legacy/
```
segmenteverygrain 0.3.0
a SAM-based model for segmenting grains in images of grains
Requires Python: >=3.10
Keywords: sedimentology, geomorphology, grain size, segment anything model

'segmenteverygrain' is a Python package that aims to detect grains (or grain-like objects) in images. 
The goal is to develop an ML model that does a reasonably good job at detecting most of the grains in a photo, 
so that it will be useful for determining grain size and grain shape, a common task in geomorphology and sedimentary geology.