Run on clusters using Dask - #13
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ale94mleon
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Aug 8, 2025
ale94mleon
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ale94mleon
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The same popc = runner.run(self.__costfunc__, args_list) logic can be applied to utils.Local.
| elif mode in [RunnerMode.MULTIPROCESSING]: | ||
| assert thread_count is None and process_count is not None and dask_cluster is None, "Only process count is needed." | ||
| elif mode in [RunnerMode.DASK_LOCAL]: | ||
| assert (thread_count is not None or process_count is None) and dask_cluster is None, "Only process count and/or thread count are needed." |
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(thread_count is not None or process_count is not None)
| def __call__(self, njobs: int = 1, runner: Optional[Runner] = None): | ||
| """Call definition | ||
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| Parameters |
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Description of runner parameter is missed.
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| - Cluster configuration can be provided to calculate cost function on multiple nodes of a cluster. | ||
| Cluster support requires installation of optional packages related to Dask, a package set called `cluster`. | ||
| ``` |
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Add an empty line and "```python"
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Well, pip install moldrug[cluster] is not Python code. I assume you mean sh
Added
```sh
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Added runner to |
Owner
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I tried out from moldrug import utils
from moldrug.runner import RunnerMode, Runner
ga = utils.GA(<initialization>)
runner_instance = Runner(
mode=RunnerMode.DASK_LOCAL,
process_count=6
)
ga(runner=runner_instance)And I get the warning Every time a new generation is evaluated. |
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