次のスクリプトがあります。
for simplify in 0.1 ;do
for lmbda in 0.9 1.1 1.3;do
for mu in 2.1 3.4 4.2;do
rm eci.out;
csce.py --mu $mu --lmbda $lmbda --simplify $simplify \
--favor-low-energy 0.01 --bias-stable \
--save-energies ce-energies.dat --save-weights ce-weights.dat \
--casm-eci-file eci.in eci.out --save-hull ce-hull.dat \
--preserve-ground-state 100
done
done
done
順次実行すると出力されます。
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.0002 --lmbda 0.005 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.0002, lambda = 0.005, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.03952735 0.04380240 0.02230235 -0.00185235
230 clusters 0.03734292 0.04294355 0.02049885 -0.00162721
Leave-one-out CV score wrt. input : 13.8588
Leave-one-out CV score wrt. full fit: 0.2201
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.0002 --lmbda 0.5 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.0002, lambda = 0.5, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.04017143 0.04451601 0.02267050 -0.00188774
219 clusters 0.03826959 0.04392544 0.02088397 -0.00166322
Leave-one-out CV score wrt. input : 7.9875
Leave-one-out CV score wrt. full fit: 0.1674
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.002 --lmbda 0.5 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.002, lambda = 0.5, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.14367173 0.15893736 0.07206284 -0.00912716
237 clusters 0.12351319 0.17167930 0.05376677 -0.00158861
Leave-one-out CV score wrt. input : 5.4561
Leave-one-out CV score wrt. full fit: 0.1119
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.002 --lmbda 0.005 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.002, lambda = 0.005, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.14299857 0.15820042 0.07228279 -0.00898964
237 clusters 0.12292319 0.17103283 0.05359447 -0.00138365
Leave-one-out CV score wrt. input : 5.3224
Leave-one-out CV score wrt. full fit: 0.1104
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.02 --lmbda 0.5 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.02, lambda = 0.5, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.19027749 0.20991052 0.09677830 -0.01602039
237 clusters 0.17531289 0.27618581 0.06910020 0.00220309
Leave-one-out CV score wrt. input : 2.4223
Leave-one-out CV score wrt. full fit: 0.0638
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.2 --lmbda 0.5 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.2, lambda = 0.5, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.26328087 0.28804954 0.15654138 -0.03325137
237 clusters 0.20897747 0.39607952 0.07887236 0.00877210
Leave-one-out CV score wrt. input : 1.9517
Leave-one-out CV score wrt. full fit: 0.0477
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.02 --lmbda 0.005 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.02, lambda = 0.005, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.18831434 0.20789816 0.09380533 -0.01523797
237 clusters 0.17809687 0.28067519 0.06919726 0.00308981
Leave-one-out CV score wrt. input : 2.4420
Leave-one-out CV score wrt. full fit: 0.0642
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.0002 --lmbda 0.05 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.0002, lambda = 0.05, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.03972713 0.04402288 0.02232628 -0.00187813
220 clusters 0.03735457 0.04295330 0.02008527 -0.00161760
Leave-one-out CV score wrt. input : 9.9223
Leave-one-out CV score wrt. full fit: 0.1863
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.2 --lmbda 0.005 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.2, lambda = 0.005, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.23518508 0.25836295 0.13669345 -0.02483126
237 clusters 0.21460451 0.36901059 0.08558721 0.00618068
Leave-one-out CV score wrt. input : 1.7372
Leave-one-out CV score wrt. full fit: 0.0490
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.002 --lmbda 0.05 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.002, lambda = 0.05, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.14375418 0.15902969 0.07218794 -0.00912434
237 clusters 0.12364959 0.17204399 0.05379933 -0.00144881
Leave-one-out CV score wrt. input : 5.5220
Leave-one-out CV score wrt. full fit: 0.1124
Writing CV energies to file `cv-energies.dat'.
/home1/03631/key01027/local_python_lib/bin/csce.py --mu 0.02 --lmbda 0.05 --simplify 0.1 --favor-low-energy 0.01 --bias-stable --save-energies ce-energies.dat --save-weights ce-weights.dat --casm-eci-file eci.in eci.out --save-hull ce-hull.dat --preserve-ground-state 100
Split-Bregman Input Parameters: mu = 0.02, lambda = 0.05, eci_cutoff = 1e-08
Attempting to simplify the CE using a target RMSE of 0.1
Warning: Unable to achieve target RMSE of 0.1
RMSE RMSE (no wght) MAE ME
237 clusters 0.19066043 0.21033595 0.09672442 -0.01606650
237 clusters 0.17565376 0.27643274 0.06917755 0.00238796
Leave-one-out CV score wrt. input : 2.4257
Leave-one-out CV score wrt. full fit: 0.0639
Writing CV energies to file `cv-energies.dat'.
しかし、計算をより効率的にするために「＆」を使用して同時に実行できることがわかります。
for simplify in 0.1 ;do
for lmbda in 0.9 1.1 1.3;do
for mu in 2.1 3.4 4.2;do
rm eci.out;
csce.py --mu $mu --lmbda $lmbda --simplify $simplify \
--favor-low-energy 0.01 --bias-stable \
--save-energies ce-energies.dat --save-weights ce-weights.dat \
--casm-eci-file eci.in eci.out --save-hull ce-hull.dat \
--preserve-ground-state 100 &
done
done
done
しかし、出力が混乱します。同時に実行しながら出力を順番に維持するにはどうすればよいですか？ありがとうございます。
ベストアンサー1
これらのコマンドをすべて分岐すると、分岐は順次実行されないため、STDOUT への出力は順番に実行されません。
すべての呼び出しをcsce.py単一のファイルにリダイレクトしてから、そのファイルを追跡できます。ファイル名のループ変数を使用して、どのファイルがどのプロセスを表すかを確認します。
ただし、スケーラビリティと制御のためには、以下を使用してください。GNUパラレル試してみる価値があるかもしれません。
ただし、ファイル名は*.dat呼び出しパラメータに依存しないため、Pythonスクリプトがどのように機能するかに応じて、これらのファイルはスクリプトを呼び出すたびに破損（上書き）または大きくなる可能性があります。