use spr and skx nodes
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@ -16,11 +16,11 @@ joblists:example_1_jobs example_2_jobs example_3_jobs
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grid_sweep_script=../simulations/grid_sweep.py
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example_1_jobs: 01_indep_differential.R simulation_base.R ${grid_sweep_script} skx_1.sbatch ../misclassificationmodels
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example_1_jobs: 01_indep_differential.R simulation_base.R ${grid_sweep_script} skx_dev.sbatch ../misclassificationmodels
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${srun} --wait uv run ${grid_sweep_script} --command "Rscript 01_indep_differential.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_1.feather"], "y_explained_variance":${explained_variances}, "Bzx":[1]}' --outfile example_1_jobs
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example_1.feather: example_1_jobs my_pylauncher.py
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sbatch -J "multiple iv measerr correction" skx_2.sbatch my_pylauncher.py $< --cores 1
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sbatch -J "multiple iv measerr correction" spr_2.sbatch my_pylauncher.py $< --cores 1
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remembr.RDS:example_1.feather
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# rm -f remembr.RDS
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@ -1,11 +1,11 @@
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#!/bin/bash
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#SBATCH --account=ECS24013
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#SBATCH --partition=skx
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#SBATCH --partition=skx-dev
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#SBATCH --nodes=1
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#SBATCH --chdir=/scratch/10114/nathante/ml_measurement_error_public/multiple_iv_simulations
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#SBATCH --error="sbatch_log/%x_%A_%a.err"
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#SBATCH --output="sbatch_log/%x_%A_%a.out"
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#SBATCH --time=48:00:00
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#SBATCH --time=4:00:00
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source ~/.bashrc
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"$@"
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