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authorBirte Kristina Friesel <birte.friesel@uos.de>2023-11-13 15:55:06 +0100
committerBirte Kristina Friesel <birte.friesel@uos.de>2023-11-13 15:55:06 +0100
commitf5a09c2bd9dbbbaf330ac8cdd473fd2ff0ccba05 (patch)
treee17c1e54a1cd81d75b14ae7ffb798a59fd6b444f
parent0ad1d1d979d1d352eb19779725b66f1d1db32c15 (diff)
more specific logfile limitations
-rw-r--r--README.md3
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@@ -70,7 +70,8 @@ We also have a short [video example](https://ess.cs.uos.de/static/videos/splc22-
## Log-Based Performance Model Generation
Here, dfatool works with lines of the form "`[::]` *Key* *Attribute* | *parameters* | *NFP values*", where *parameters* is a space-separated series of *param=value* entries (i.e., benchmark configuration) and *NFP values* is a space-separate series of *NFP=value* entries (i.e., benchmark output).
-All measurements of a given *Key* must use the same set of parameter names and NFP names.
+All measurements of a given *Key* *Attribute* combination must use the same set of NFP names.
+Parameter names may be different -- parameters that are present in other lines of the same *Key* *Attribute* will be treated as undefined in those lines where they are missing.
Use `bin/analyze-log.py file1.txt file2.txt ...` for analysis.