|
14 | 14 | for element in inputs: |
15 | 15 | dependenciesgraph.add(element) |
16 | 16 |
|
17 | | - dependenciesgraph.add("math/unfold/testUnfold5d.C",["math/unfold/testUnfold5c.C"]) |
18 | | - dependenciesgraph.add("math/unfold/testUnfold5c.C",["math/unfold/testUnfold5b.C"]) |
19 | | - dependenciesgraph.add("math/unfold/testUnfold5b.C",["math/unfold/testUnfold5a.C"]) |
| 17 | + dependenciesgraph.add("analysis/unfold/testUnfold5d.C",["analysis/unfold/testUnfold5c.C"]) |
| 18 | + dependenciesgraph.add("analysis/unfold/testUnfold5c.C",["analysis/unfold/testUnfold5b.C"]) |
| 19 | + dependenciesgraph.add("analysis/unfold/testUnfold5b.C",["analysis/unfold/testUnfold5a.C"]) |
20 | 20 | dependenciesgraph.add("io/xml/xmlreadfile.C",["io/xml/xmlnewfile.C"]) |
21 | | - dependenciesgraph.add("roofit/rf503_wspaceread.C",["roofit/rf502_wspacewrite.C"]) |
| 21 | + dependenciesgraph.add("roofit/roofit/rf503_wspaceread.C",["roofit/roofit/rf502_wspacewrite.C"]) |
22 | 22 | dependenciesgraph.add("io/readCode.C",["io/importCode.C"]) |
23 | | - dependenciesgraph.add("math/fit/fit1.C",["hist/fillrandom.C"]) |
| 23 | + dependenciesgraph.add("math/fit/fit1.C",["hist/hist001_TH1_fillrandom.C"]) |
24 | 24 | dependenciesgraph.add("math/fit/myfit.C",["math/fit/fitslicesy.C"]) |
25 | | - dependenciesgraph.add("math/foam/foam_demopers.C",["math/oam/foam_demo.C"]) |
| 25 | + dependenciesgraph.add("math/foam/foam_demopers.C",["math/foam/foam_demo.C"]) |
26 | 26 | dependenciesgraph.add("io/tree/tree502_staff.C",["io/tree/tree500_cernbuild.C"]) |
27 | 27 | dependenciesgraph.add("io/tree/tree501_cernstaff.C",["io/tree/tree500_cernbuild.C"]) |
28 | | - dependenciesgraph.add("hist/hbars.C",["io/tree/tree500_cernbuild.C"]) |
| 28 | + dependenciesgraph.add("hist/hist006_TH1_bar_charts.C",["io/tree/tree500_cernbuild.C"]) |
29 | 29 | dependenciesgraph.add("io/tree/ntuple1.py",["hsimple.py"]) |
30 | | - dependenciesgraph.add("math/fit/fit1.py",["hist/fillrandom.py"]) |
31 | | - dependenciesgraph.add("tmva/TMVAClassificationApplication.C",["tmva/TMVAClassification.C"]) |
32 | | - dependenciesgraph.add("tmva/TMVAClassificationCategory.C",["tmva/TMVAClassification.C"]) |
33 | | - dependenciesgraph.add("tmva/TMVAClassificationCategoryApplication.C",["tmva/TMVAClassificationCategory.C"]) |
34 | | - dependenciesgraph.add("tmva/TMVAMulticlass.C",["tmva/TMVAMultipleBackgroundExample.C"]) |
35 | | - dependenciesgraph.add("tmva/TMVAMulticlassApplication.C",["tmva/TMVAMulticlass.C"]) |
36 | | - dependenciesgraph.add("tmva/TMVARegressionApplication.C",["tmva/TMVARegression.C"]) |
37 | | - |
| 30 | + dependenciesgraph.add("math/fit/fit1.py",["hist/hist001_TH1_fillrandom.py"]) |
| 31 | + dependenciesgraph.add("machine_learning/TMVAClassificationApplication.C",["machine_learning/TMVAClassification.C"]) |
| 32 | + dependenciesgraph.add("machine_learning/TMVAClassificationCategory.C",["machine_learning/TMVAClassification.C"]) |
| 33 | + dependenciesgraph.add("machine_learning/TMVAClassificationCategoryApplication.C",["machine_learning/TMVAClassificationCategory.C"]) |
| 34 | + dependenciesgraph.add("machine_learning/TMVAMulticlass.C",["machine_learning/TMVAMultipleBackgroundExample.C"]) |
| 35 | + dependenciesgraph.add("machine_learning/TMVAMulticlassApplication.C",["machine_learning/TMVAMulticlass.C"]) |
| 36 | + dependenciesgraph.add("machine_learning/TMVARegressionApplication.C",["machine_learning/TMVARegression.C"]) |
| 37 | + |
38 | 38 | for node in dependenciesgraph.nodes: |
39 | 39 | dependenciesgraph.stale(node) |
40 | 40 |
|
|
55 | 55 |
|
56 | 56 | def processInput(inputFile): |
57 | 57 | subprocess.call([sys.executable, |
58 | | - './converttonotebook.py', |
59 | | - os.path.join(os.environ['DOXYGEN_SOURCE_DIRECTORY'], 'tutorials', inputFile), |
| 58 | + './converttonotebook.py', |
| 59 | + os.path.join(os.environ['DOXYGEN_SOURCE_DIRECTORY'], 'tutorials', inputFile), |
60 | 60 | outDir]) |
61 | 61 |
|
62 | 62 | num_cores = multiprocessing.cpu_count() |
|
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