Python3: PAL

[csit.git] / resources / tools / presentation / doc / pal_lld.rst

diff --git a/resources/tools/presentation/doc/pal_lld.rst b/resources/tools/presentation/doc/pal_lld.rst
index d3a9782..ec4c97b 100644 (file)
--- a/resources/tools/presentation/doc/pal_lld.rst
+++ b/resources/tools/presentation/doc/pal_lld.rst
@@ -841,7 +841,7 @@ VPP HTTP server performance in a box chart with pre-defined data
     -
       type: "plot"
       title: "VPP HTTP Server Performance"
-      algorithm: "plot_http_server_performance_box"
+      algorithm: "plot_http_server_perf_box"
       output-file-type: ".html"
       output-file: "{DIR[STATIC,VPP]}/http-server-performance-cps"
       data:
@@ -1263,7 +1263,7 @@ The model specifies:
     -
       type: "table"
       title: "Performance comparison"
-      algorithm: "table_performance_comparison"
+      algorithm: "table_perf_comparison"
       output-file-ext: ".csv"
       output-file: "{DIR[DTR,PERF,VPP,IMPRV]}/vpp_performance_comparison"
       reference:
@@ -1480,7 +1480,7 @@ At first, the .csv tables are generated (only the table for 1t1c is shown):
     -
       type: "table"
       title: "Performance trending dashboard"
-      algorithm: "table_performance_trending_dashboard"
+      algorithm: "table_perf_trending_dash"
       output-file-ext: ".csv"
       output-file: "{DIR[STATIC,VPP]}/performance-trending-dashboard-1t1c"
       data: "plot-performance-trending-all"
@@ -1503,7 +1503,7 @@ Then, html tables stored inside .rst files are generated:
     -
       type: "table"
       title: "HTML performance trending dashboard 1t1c"
-      algorithm: "table_performance_trending_dashboard_html"
+      algorithm: "table_perf_trending_dash_html"
       input-file: "{DIR[STATIC,VPP]}/performance-trending-dashboard-1t1c.csv"
       output-file: "{DIR[STATIC,VPP]}/performance-trending-dashboard-1t1c.rst"