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13 | 13 |
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14 | 14 | The goal is to provide the functionality within a single library and via pip as well as conda. |
15 | 15 |
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16 | | -**Warning:** This library was written mainly by coding agents (claude code and openai codex). |
17 | | -It is not very thoroughly tested and may contain bugs. |
| 16 | +**Disclaimer:** The functionality of this library was implemented mainly by coding agents (Claude Code, OpenAI Codex). |
| 17 | +We make our best efforts to test the implementations thoroughly |
| 18 | +and are already using it heavily in our day-to-day research |
| 19 | +and have integrated it with other software tools. |
| 20 | +Nevertheless, it may contain bugs or unintended behavior (as most software does). |
| 21 | +If you find such a problem, |
| 22 | +please [open an issue on github](https://github.com/computational-cell-analytics/bioimage-cpp/issues). |
| 23 | +We are committed to improving and mainting this software. |
18 | 24 |
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19 | 25 | ## Installation |
20 | 26 |
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28 | 34 | conda install -c conda-forge bioimage-cpp |
29 | 35 | ``` |
30 | 36 |
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31 | | -Additional dependencies for tests / data downloads can be installed via `pip install bioimage-cpp[test]` / `pip install bioimage-cpp[data]` respectively. |
| 37 | +Additional dependencies for tests / data downloads |
| 38 | +can be installed via `pip install bioimage-cpp[test]` / `pip install bioimage-cpp[data]` respectively. |
32 | 39 |
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33 | 40 | You can also install this library from source. The build requires C++20 (GCC >= 10 or Clang >= 13). |
34 | 41 |
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39 | 46 | pip install -e . |
40 | 47 | ``` |
41 | 48 |
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42 | | -On systems with an older compiler (e.g. many HPC clusters ship GCC 8), install a modern one from conda-forge alongside the build dependencies, and point `CC`/`CXX` at it: |
| 49 | +On systems with an older compiler (e.g. many HPC clusters ship GCC 8), |
| 50 | +install a modern one from conda-forge alongside the build dependencies, and point `CC`/`CXX` at it: |
43 | 51 | ```bash |
44 | 52 | conda install gcc_linux-64 gxx_linux-64 scikit-build-core nanobind -c conda-forge -y |
45 | 53 | export CC=x86_64-conda-linux-gnu-gcc |
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