other fix to benchmarks

NNPDF · Aug 21, 2024 · d33d2f9 · d33d2f9
1 parent 011ec6c
commit d33d2f9
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Showing 2 changed files with 8 additions and 5 deletions.
diff --git a/benchmarks/bench_kfactor.py b/benchmarks/bench_kfactor.py
@@ -2,17 +2,20 @@
 import numpy as np
 import pineappl
 
-from pineko import kfactor
+from pineko import configs, kfactor
 
 
 def benchmark_kfactor_inclusion(test_files, tmp_path, test_pdf, lhapdf_path):
-    fake_yaml_path = test_files / "data" / "yamldb" / "ATLAS_TTB_FAKE.yaml"
+
+    base_configs = configs.load(test_files / "pineko.toml")
+    configs.configs = configs.defaults(base_configs)
+
     pto_to_update = 3  # here we want to update NNLO
     pdf_name = "NNPDF40_nnlo_as_01180"
     kfactor.apply_to_dataset(
-        test_files / "data" / "grids" / "400",
+        400,
+        "ATLAS_TTB_FAKE",
         test_files / "data" / "kfactors",
-        fake_yaml_path,
         pto_to_update,
         tmp_path,
     )

diff --git a/docs/source/overview/running.rst b/docs/source/overview/running.rst
@@ -100,7 +100,7 @@ Using pineko with NNPDF
 """""""""""""""""""""""
 
 It is possible to use ``pineko`` without providing an explicit mapping between data and grids
-(i.e., without a ``yamldb`` database) or theory cards, by using the data declared in the NNPDF
+(i.e., without a ``ymldb`` database) or theory cards, by using the data declared in the NNPDF
 repository (which includes a data-theory mapping).
 
 In order to do this you need to install ``pineko`` with the ``nnpdf`` extra, which installs