diff --git a/artifact-overview.typ b/artifact-overview.typ
index f3aa1e0085732fec668c69353538da364fe53a61..388c1de6ba8203d72aec28496f0a28962a31a48c 100644
--- a/artifact-overview.typ
+++ b/artifact-overview.typ
@@ -350,7 +350,7 @@ The notebook also generates a power model of the Marconi100 nodes, which is requ
Required input files.
- `m100-data/22-agg_power_total.csv` (output of @sec-agg-power-traces-per-node).
-#fullbox(footer:[Disk: 1.7 Mo. Time (laptop): 00:00:10])[
+#fullbox(footer:[Disk: 1.7 Mo. Time (laptop): 00:00:10.])[
```sh
nix develop .#r-notebook --command \
Rscript notebooks/run-rmarkdown-notebook.R \
@@ -370,228 +370,99 @@ Required input files.
== Job power prediction <sec-job-power-pred>
-The experimental workflow consists of three parts, (i) preprocessing of the original data, and
+The experimental workflow consists of three parts, (i) preprocessing of the original data, and
(ii) prediction of the mean and maximum power consumption.
+Please note that reproducing this section involves *heavy computations* and *big data*.
+We have *not* made intermediate files available on #link(zenodo-url)[Zenodo] as they were too big.
=== Pre-processing
==== Step 1
-#fullbox(footer:[#emph-overhead[Memory: 128 Go. Time (sequential): 18:00:00]])[
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_1.py \
- -j ./m100-data/22-01_jobs.parquet \
- -p ./m100-data/22-01_power_total.parquet
- ```
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_1.py \
- -j ./m100-data/22-02_jobs.parquet \
- -p ./m100-data/22-02_power_total.parquet
- ```
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_1.py \
- -j ./m100-data/22-03_jobs.parquet \
- -p ./m100-data/22-03_power_total.parquet
- ```
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_1.py \
- -j ./m100-data/22-04_jobs.parquet \
- -p ./m100-data/22-04_power_total.parquet
- ```
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_1.py \
- -j ./m100-data/22-05_jobs.parquet \
- -p ./m100-data/22-05_power_total.parquet
- ```
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_1.py \
- -j ./m100-data/22-06_jobs.parquet \
- -p ./m100-data/22-06_power_total.parquet
- ```
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_1.py \
- -j ./m100-data/22-07_jobs.parquet \
- -p ./m100-data/22-07_power_total.parquet
- ```
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_1.py \
- -j ./m100-data/22-08_jobs.parquet \
- -p ./m100-data/22-08_power_total.parquet
- ```
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_1.py \
- -j ./m100-data/22-09_jobs.parquet \
- -p ./m100-data/22-09_power_total.parquet
- ```
+#fullbox(footer:[#emph-overhead[Memory: 128 Go. Time (sequential): 18:00:00.]])[
+```sh
+for month in 22-01 22-02 22-03 22-04 22-05 22-06 22-07 22-08 22-09; do
+ nix develop .#py-scripts --command m100-pred-preprocess1 \
+ -j ./m100-data/${month}_jobs.parquet \
+ -m ./m100-data/${month}_power_total.parquet
+done
+```
]
-=== Step 2
-
-#fullbox(footer:[#emph-overhead[Memory: 128 Go. Time (sequential): 66:00:00]])[
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_2.py \
- -js ./m100-data/22-01_filter12_singlenode.csv \
- -jm ./m100-data/22-01_filter12_multinode.csv
- -p ./m100-data/22-01_power_total.parquet
- ```
-
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_2.py \
- -js ./m100-data/22-02_filter12_singlenode.csv \
- -jm ./m100-data/22-02_filter12_multinode.csv
- -p ../m100-data/22-02_power_total.parquet
- ```
-
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_2.py \
- -js ./m100-data/22-03_filter12_singlenode.csv \
- -jm ./m100-data/22-03_filter12_multinode.csv
- -p ./m100-data/22-03_power_total.parquet
- ```
-
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_2.py \
- -js ./m100-data/22-04_filter12_singlenode.csv \
- -jm ./m100-data/22-04_filter12_multinode.csv
- -p ./m100-data/22-04_power_total.parquet
- ```
-
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_2.py \
- -js ./m100-data/22-05_filter12_singlenode.csv \
- -jm ./m100-data/22-05_filter12_multinode.csv
- -p ./m100-data/22-05_power_total.parquet
- ```
-
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_2.py \
- -js ./m100-data/22-06_filter12_singlenode.csv \
- -jm ./m100-data/22-06_filter12_multinode.csv
- -p ./m100-data/22-06_power_total.parquet
- ```
-
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_2.py \
- -js ./m100-data/22-07_filter12_singlenode.csv \
- -jm ./m100-data/22-07_filter12_multinode.csv
- -p ./m100-data/22-07_power_total.parquet
- ```
-
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_2.py \
- -js ./m100-data/22-08_filter12_singlenode.csv \
- -jm ./m100-data/22-08_filter12_multinode.csv
- -p ./m100-data/22-08_power_total.parquet
- ```
-
-```python
- ./scripts-py/expe_energumen/m100_pred_preprocess_2.py \
- -js ./m100-data/22-09_filter12_singlenode.csv \
- -jm ./m100-data/22-09_filter12_multinode.csv
- -p ./m100-data/22-09_power_total.parquet
- ```
+==== Step 2
+#fullbox(footer:[#emph-overhead[Memory: 128 Go. Time (sequential): 66:00:00.]])[
+```sh
+for month in 22-01 22-02 22-03 22-04 22-05 22-06 22-07 22-08 22-09; do
+ nix develop .#py-scripts --command m100-pred-preprocess2 \
+ -js ./m100-data/${month}_filter12_singlenode.csv \
+ -jm ./m100-data/${month}_filter12_multinode.csv \
+ -m ./m100-data/${month}_power_total.parquet
+done
+```
]
-=== Aggregate step 2 output into a single file
+=== Aggregate step 2 output into a single file
-#fullbox(footer: [Disk: 32 Go.])[
-find . -name '*filter123*' | tar -zcvf exadata_job_energy_profiles.tar.gz --files-from -
+#fullbox(footer: [#emph-overhead[Disk: 32 Go.]])[
+```sh
+find . -name '*filter123*' | \
+ tar -zcvf exadata_job_energy_profiles.tar.gz --files-from -
+```
]
=== Compute power metrics and add job information
-#fullbox(footer: [Disk: 32 Go.])[
-``` python
- ./scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py \
- -d ./m100-data/22-01
+#fullbox(footer: [#emph-overhead[Disk: 32 Go.]])[
+```sh
+for month in 22-01 22-02 22-03 22-04 22-05 22-06 22-07 22-08 22-09; do
+ nix develop .#py-scripts --command m100-pred-jobs-extract-power-metrics \
+ -d ./m100-data/${month}
+done
```
-
-``` python
- ./scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py \
- -d ./m100-data/22-02
-```
-
-``` python
- ./scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py \
- -d ./m100-data/22-03
-```
-
-``` python
- ./scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py \
- -d ./m100-data/22-04
-```
-
-``` python
- ./scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py \
- -d ./m100-data/22-05
-```
-
-``` python
- ./scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py \
- -d ./m100-data/22-06
-```
-
-``` python
- ./scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py \
- -d ./m100-data/22-07
-```
-
-``` python
- ./scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py \
- -d ./m100-data/22-08
-```
-
-``` python
- ./scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py \
- -d ./m100-data/22-09
-```
]
=== Merge files into a single CSV file
-This will output the `filter123_all_jobs_aggmetrics.csv.gz` needed for the prediction script
+This will output the `filter123_all_jobs_aggmetrics.csv.gz` needed for the prediction script.
#fullbox(footer: [Disk: 82 Mo.])[
-``` python
- ./scripts-py/expe_energumen/m100_pred_merge_jobfiles.py -d ./m100-data/
+```sh
+nix develop .#py-scripts --command m100-pred-merge-jobfiles -d ./m100-data/
```
]
-== Predicting Job mean and maximum power consumption
+== Predicting Job mean and maximum power consumption
-#fullbox(footer:[#emph-overhead[Memory: 128 Go. Time (sequential): 72:00:00]])[
-```
-mkdir ./m100-data/total_power_mean_predictions_users_allmethods_mean
-mkdir ./m100-data/total_power_mean_predictions_users_allmethods_max
+#fullbox(footer:[#emph-overhead[Memory: 128 Go. Time (sequential): 72:00:00.]])[
+ ```sh
+ mkdir ./m100-data/total_power_mean_predictions_users_allmethods_mean
+ mkdir ./m100-data/total_power_mean_predictions_users_allmethods_max
-python ./scripts-py/expe_energumen/run_prediction_per_user_allmethods_mean.py \
- -j ./m100-data/filter123_all_jobs_aggmetrics.csv.gz \
- -o ./m100-data/total_power_mean_predictions_users_allmethods_mean
+ nix develop .#py-scripts --command \
+ run-prediction-per-user-allmethods-mean \
+ -j ./m100-data/filter123_all_jobs_aggmetrics.csv.gz \
+ -o ./m100-data/total_power_mean_predictions_users_allmethods_mean
-python ./scripts-py/expe_energumen/run_prediction_per_user_allmethods_max.py \
- -j ./m100-data/filter123_all_jobs_aggmetrics.csv.gz \
- -o ./m100-data/total_power_mean_predictions_users_allmethods_max
-```
+ nix develop .#py-scripts --command \
+ run-prediction-per-user-allmethods-max \
+ -j ./m100-data/filter123_all_jobs_aggmetrics.csv.gz \
+ -o ./m100-data/total_power_mean_predictions_users_allmethods_max
+ ```
]
=== Compressing prediction output into single files
-
-#fullbox(footer:[Disk: 82 Mo.])[
-```
-tar -cvzf ./m100-data/power_pred_users_allmethods_max.tar.gz \
- ./m100-data/total_power_mean_predictions_users_allmethods_mean
-tar -cvzf ./m100-data/power_pred_users_allmethods_mean.tar.gz \
- ./m100-data/total_power_mean_predictions_users_allmethods_max
-```
-]
-
The expected output data of has been stored on #link(zenodo-url)[Zenodo].
-//#tododanilo[how to reproduce this experiment?]
+#fullbox(footer:[Disk: 82 Mo.])[
+ ```sh
+ tar -cvzf ./m100-data/power_pred_users_allmethods_max.tar.gz \
+ ./m100-data/total_power_mean_predictions_users_allmethods_mean
+ tar -cvzf ./m100-data/power_pred_users_allmethods_mean.tar.gz \
+ ./m100-data/total_power_mean_predictions_users_allmethods_max
+ ```
-#fullbox(footer: [Disk: 82 Mo.])[
#filehashes((
"fdcc47998a7e998abde325162833b23e", "power_pred_users_allmethods_max.tar.gz",
"954f782a75c9a5b21c53a95c0218e220", "power_pred_users_allmethods_mean.tar.gz",
diff --git a/flake.nix b/flake.nix
index ce41a85461231cb756a0b98362372a320bf4e755..bec15ed36dda353cad3d26c9c1abdd1c1ff88db9 100644
--- a/flake.nix
+++ b/flake.nix
@@ -70,6 +70,8 @@
propagatedBuildInputs = with pyPkgs; [
packages.fastparquet-2402
pyPkgs.sortedcontainers
+ pyPkgs.scipy
+ pyPkgs.scikit-learn
];
};
fastparquet-2402 = pyPkgs.fastparquet.overrideAttrs(final: prev: rec {
diff --git a/scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py b/scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py
index feb36a50ad576056c8eef36922baee4c62e81905..9e3025ac58cc5cde4cd803b157bea4d4b68e2d2a 100644
--- a/scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py
+++ b/scripts-py/expe_energumen/m100_pred_jobs_extract_power_metrics.py
@@ -64,16 +64,14 @@ def read_cli():
return(p.parse_args())
-if __name__ == '__main__':
-
+def main():
if sys.version_info<(3,5,0):
sys.stderr.write("You need python 3.5 or later to run this script\n")
sys.exit(1)
-
- try:
- args = read_cli()
- except:
- print('Try $python process_marconi_jobs.py --help')
- sys.exit(1)
- run_workflow(args.rootdir)
\ No newline at end of file
+ args = read_cli()
+ sys.exit(2)
+ run_workflow(args.rootdir)
+
+if __name__ == '__main__':
+ main()
diff --git a/scripts-py/expe_energumen/m100_pred_merge_jobfiles.py b/scripts-py/expe_energumen/m100_pred_merge_jobfiles.py
index 453d8171a4a879c359469648b2ade5bbef4718cc..bad85e3f2ee1889974cc2f7a96da6c2936ddc3e8 100644
--- a/scripts-py/expe_energumen/m100_pred_merge_jobfiles.py
+++ b/scripts-py/expe_energumen/m100_pred_merge_jobfiles.py
@@ -43,16 +43,13 @@ def read_cli():
return(p.parse_args())
-if __name__ == '__main__':
-
+def main():
if sys.version_info<(3,5,0):
sys.stderr.write("You need python 3.5 or later to run this script\n")
sys.exit(1)
-
- try:
- args = read_cli()
- except:
- print('Try $python process_marconi_jobs.py --help')
- sys.exit(1)
- run_workflow(args.rootdir)
\ No newline at end of file
+ args = read_cli()
+ run_workflow(args.rootdir)
+
+if __name__ == '__main__':
+ main()
diff --git a/scripts-py/expe_energumen/m100_pred_preprocess_1.py b/scripts-py/expe_energumen/m100_pred_preprocess_1.py
index 8ddbf11915f7ccd118af7ce94e3d83fb8ba70179..7eb48462642c32a8cd2b95f0fd08bd3eb62134ae 100644
--- a/scripts-py/expe_energumen/m100_pred_preprocess_1.py
+++ b/scripts-py/expe_energumen/m100_pred_preprocess_1.py
@@ -135,16 +135,13 @@ def read_cli():
return(p.parse_args())
-if __name__ == '__main__':
-
+def main():
if sys.version_info<(3,5,0):
sys.stderr.write("You need python 3.5 or later to run this script\n")
sys.exit(1)
-
- try:
- args = read_cli()
- except:
- print('Try $python process_marconi_jobs.py --help')
- sys.exit(1)
- run_workflow(args.metricfile, args.jobfile)
\ No newline at end of file
+ args = read_cli()
+ run_workflow(args.metricfile, args.jobfile)
+
+if __name__ == '__main__':
+ main()
diff --git a/scripts-py/expe_energumen/m100_pred_preprocess_2.py b/scripts-py/expe_energumen/m100_pred_preprocess_2.py
index 8bdd94772871c08b620c8c9637cf6ecb517e1879..f10f994872a7b4626261c13839d42b7e6f4e820a 100644
--- a/scripts-py/expe_energumen/m100_pred_preprocess_2.py
+++ b/scripts-py/expe_energumen/m100_pred_preprocess_2.py
@@ -230,16 +230,13 @@ def read_cli():
return(p.parse_args())
-if __name__ == '__main__':
-
+def main():
if sys.version_info<(3,5,0):
sys.stderr.write("You need python 3.5 or later to run this script\n")
sys.exit(1)
-
- try:
- args = read_cli()
- except:
- print('Try $python process_marconi_jobs.py --help')
- sys.exit(1)
- run_workflow(args.metricfile, args.jobfilesingle, args.jobfilemulti)
\ No newline at end of file
+ args = read_cli()
+ run_workflow(args.metricfile, args.jobfilesingle, args.jobfilemulti)
+
+if __name__ == '__main__':
+ main()
diff --git a/scripts-py/expe_energumen/predict_jobs_power_allmethods_max.py b/scripts-py/expe_energumen/predict_jobs_power_allmethods_max.py
index 7555644c217f9313ede1aa8da35dc3871fc6a651..1b48ffcad58a329acc340c14e82e4914f43306fe 100644
--- a/scripts-py/expe_energumen/predict_jobs_power_allmethods_max.py
+++ b/scripts-py/expe_energumen/predict_jobs_power_allmethods_max.py
@@ -475,16 +475,13 @@ def read_cli():
return(p.parse_args())
-if __name__ == '__main__':
-
+def main():
if sys.version_info<(3,5,0):
sys.stderr.write("You need python 3.5 or later to run this script\n")
sys.exit(1)
-
- try:
- args = read_cli()
- except:
- print('Try $python process_marconi_jobs.py --help')
- sys.exit(1)
- run_workflow(args.jobfile, args.outputfile, args.user)
\ No newline at end of file
+ args = read_cli()
+ run_workflow(args.jobfile, args.outputfile, args.user)
+
+if __name__ == '__main__':
+ main()
diff --git a/scripts-py/expe_energumen/predict_jobs_power_allmethods_mean.py b/scripts-py/expe_energumen/predict_jobs_power_allmethods_mean.py
index 35c00532646b9d6b9daa4c9b81328c67528dfa1c..269e3116930ac8ce90914cbb30dc4d532d83f069 100644
--- a/scripts-py/expe_energumen/predict_jobs_power_allmethods_mean.py
+++ b/scripts-py/expe_energumen/predict_jobs_power_allmethods_mean.py
@@ -479,16 +479,13 @@ def read_cli():
return(p.parse_args())
-if __name__ == '__main__':
-
+def main():
if sys.version_info<(3,5,0):
sys.stderr.write("You need python 3.5 or later to run this script\n")
sys.exit(1)
-
- try:
- args = read_cli()
- except:
- print('Try $python process_marconi_jobs.py --help')
- sys.exit(1)
- run_workflow(args.jobfile, args.outputfile, args.user)
\ No newline at end of file
+ args = read_cli()
+ run_workflow(args.jobfile, args.outputfile, args.user)
+
+if __name__ == '__main__':
+ main()
diff --git a/scripts-py/expe_energumen/run_prediction_per_user_allmethods_max.py b/scripts-py/expe_energumen/run_prediction_per_user_allmethods_max.py
index 6864e3e2bddc4a9ccf471e5549f95799890371d1..0074f737b0b643dca11054b0bb4ff637d1fafaa9 100644
--- a/scripts-py/expe_energumen/run_prediction_per_user_allmethods_max.py
+++ b/scripts-py/expe_energumen/run_prediction_per_user_allmethods_max.py
@@ -6,15 +6,6 @@ import os
import functools
from multiprocessing import Pool
-
-"""
-User power prediction subroutine
-"""
-def run_prediction_user(user_id, jobfile=None, outdir=None):
- outfile = outdir+'/filter123_user_'+str(user_id)+'_total_power_mean_pred.csv.gz'
- command = ['python', 'predict_jobs_power.py', "-j", jobfile , '-o', outfile, '-u', str(user_id)]
- subprocess.run(command)
-
"""
Run Workflow
"""
@@ -28,7 +19,7 @@ def run_workflow(jobfile, outdir):
# Skip user if prediction was already performed
if os.path.isfile(outfile) == True:
continue
- command = ['python', 'predict_jobs_power_allmethods_max.py', "-j", jobfile , '-o', outfile, '-u', str(user_id)]
+ command = ['predict-jobs-power-allmethods-max', "-j", jobfile , '-o', outfile, '-u', str(user_id)]
subprocess.run(command)
"""
@@ -45,16 +36,13 @@ def read_cli():
return(p.parse_args())
-if __name__ == '__main__':
-
+def main():
if sys.version_info<(3,5,0):
sys.stderr.write("You need python 3.5 or later to run this script\n")
sys.exit(1)
-
- try:
- args = read_cli()
- except:
- print('Try $python run_prediction_per_user --help')
- sys.exit(1)
- run_workflow(args.jobfile, args.outdir)
\ No newline at end of file
+ args = read_cli()
+ run_workflow(args.jobfile, args.outdir)
+
+if __name__ == '__main__':
+ main()
diff --git a/scripts-py/expe_energumen/run_prediction_per_user_allmethods_mean.py b/scripts-py/expe_energumen/run_prediction_per_user_allmethods_mean.py
index 7571f6c46f583f5bd67bac2a9d02d47caae8998c..7d90605a2e2b36d96b95afffc0708c6a1dbd81c7 100644
--- a/scripts-py/expe_energumen/run_prediction_per_user_allmethods_mean.py
+++ b/scripts-py/expe_energumen/run_prediction_per_user_allmethods_mean.py
@@ -6,15 +6,6 @@ import os
import functools
from multiprocessing import Pool
-
-"""
-User power prediction subroutine
-"""
-def run_prediction_user(user_id, jobfile=None, outdir=None):
- outfile = outdir+'/filter123_user_'+str(user_id)+'_total_power_mean_pred.csv.gz'
- command = ['python', 'predict_jobs_power.py', "-j", jobfile , '-o', outfile, '-u', str(user_id)]
- subprocess.run(command)
-
"""
Run Workflow
"""
@@ -28,7 +19,7 @@ def run_workflow(jobfile, outdir):
# Skip user if prediction was already performed
if os.path.isfile(outfile) == True:
continue
- command = ['python', 'predict_jobs_power_allmethods_mean.py', "-j", jobfile , '-o', outfile, '-u', str(user_id)]
+ command = ['predict-jobs-power-allmethods-mean', "-j", jobfile , '-o', outfile, '-u', str(user_id)]
subprocess.run(command)
"""
@@ -45,16 +36,13 @@ def read_cli():
return(p.parse_args())
-if __name__ == '__main__':
-
+def main():
if sys.version_info<(3,5,0):
sys.stderr.write("You need python 3.5 or later to run this script\n")
sys.exit(1)
-
- try:
- args = read_cli()
- except:
- print('Try $python run_prediction_per_user --help')
- sys.exit(1)
- run_workflow(args.jobfile, args.outdir)
\ No newline at end of file
+ args = read_cli()
+ run_workflow(args.jobfile, args.outdir)
+
+if __name__ == '__main__':
+ main()
diff --git a/scripts-py/pyproject.toml b/scripts-py/pyproject.toml
index 486a81b1d512dc121614a1b500ca30e3f1f3b764..8bf3f99b5a9d417b8fa99f153641dfe64a8ef753 100644
--- a/scripts-py/pyproject.toml
+++ b/scripts-py/pyproject.toml
@@ -11,6 +11,14 @@ version = "0.1.0"
[project.scripts]
m100-data-downloader = "expe_energumen.m100_data_downloader:main"
m100-agg-power-months = "expe_energumen.m100_agg_month_power_values:several_months"
+m100-pred-preprocess1 = "expe_energumen.m100_pred_preprocess_1:main"
+m100-pred-preprocess2 = "expe_energumen.m100_pred_preprocess_2:main"
+m100-pred-jobs-extract-power-metrics = "expe_energumen.m100_pred_jobs_extract_power_metrics:main"
+m100-pred-merge-jobfiles = "expe_energumen.m100_pred_merge_jobfiles:main"
+run-prediction-per-user-allmethods-mean = "expe_energumen.run_prediction_per_user_allmethods_mean:main"
+run-prediction-per-user-allmethods-max = "expe_energumen.run_prediction_per_user_allmethods_max:main"
+predict-jobs-power-allmethods-mean = "expe_energumen.predict_jobs_power_allmethods_mean:main"
+predict-jobs-power-allmethods-max = "expe_energumen.predict_jobs_power_allmethods_max:main"
m100-agg-power-predictions = "expe_energumen.m100_agg_power_predictions:agg_all_files"
m100-agg-jobs-info = "expe_energumen.m100_agg_jobs_info:several_months"
m100-join-usable-jobs-info = "expe_energumen.m100_join_usable_jobs_info:join"