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Bumps the action-dependencies group with 3 updates in the / directory: [actions/checkout](https://github.com/actions/checkout), [actions/upload-artifact](https://github.com/actions/upload-artifact) and [actions/download-artifact](https://github.com/actions/download-artifact). Updates `actions/checkout` from 5 to 6 - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v5...v6) Updates `actions/upload-artifact` from 4 to 5 - [Release notes](https://github.com/actions/upload-artifact/releases) - [Commits](https://github.com/actions/upload-artifact/compare/v4...v5) Updates `actions/download-artifact` from 5 to 6 - [Release notes](https://github.com/actions/download-artifact/releases) - [Commits](https://github.com/actions/download-artifact/compare/v5...v6) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major dependency-group: action-dependencies - dependency-name: actions/upload-artifact dependency-version: '5' dependency-type: direct:production update-type: version-update:semver-major dependency-group: action-dependencies - dependency-name: actions/download-artifact dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major dependency-group: action-dependencies ... Signed-off-by: dependabot[bot] <support@github.com>
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read_aconity_layers
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----
A library for fast reading of layer data from the aconity mini powder
bed fusion machine.
##########
Overview
##########
``read_aconity_layers`` is a high-performance Python library for reading
and processing layer data from Aconity mini powder bed fusion machines.
It's built with Rust for maximum performance and uses PyO3 for seamless
Python integration.
##########
Features
##########
- **Fast**: Built with Rust for high-performance data processing
- **Simple**: Easy-to-use Python API
- **Parallel**: Leverages Rayon for parallel processing of multiple
files
- **Type-safe**: Full type annotations and stub files included
###############
Quick Example
###############
.. code:: python
import read_aconity_layers as ral
import numpy as np
# Read all layers from a directory
data = ral.read_layers("/path/to/layer/files/")
# Read specific layer files
files = ["/path/to/0.01.pcd", "/path/to/0.02.pcd"]
data = ral.read_selected_layers(files)
# Read a single layer
layer = ral.read_layer("/path/to/0.01.pcd")