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-rw-r--r--scripts/simplebench/results_to_text.py67
1 files changed, 60 insertions, 7 deletions
diff --git a/scripts/simplebench/results_to_text.py b/scripts/simplebench/results_to_text.py
index 479f7ac1d4..e46940fdf2 100644
--- a/scripts/simplebench/results_to_text.py
+++ b/scripts/simplebench/results_to_text.py
@@ -17,6 +17,10 @@
#
import math
+import tabulate
+
+# We want leading whitespace for difference row cells (see below)
+tabulate.PRESERVE_WHITESPACE = True
def format_value(x, stdev):
@@ -39,21 +43,70 @@ def result_to_text(result):
return 'FAILED'
-def results_to_text(results):
- """Return text representation of bench() returned dict."""
- from tabulate import tabulate
-
+def results_dimension(results):
dim = None
- tab = [[""] + [c['id'] for c in results['envs']]]
for case in results['cases']:
- row = [case['id']]
for env in results['envs']:
res = results['tab'][case['id']][env['id']]
if dim is None:
dim = res['dimension']
else:
assert dim == res['dimension']
+
+ assert dim in ('iops', 'seconds')
+
+ return dim
+
+
+def results_to_text(results):
+ """Return text representation of bench() returned dict."""
+ n_columns = len(results['envs'])
+ named_columns = n_columns > 2
+ dim = results_dimension(results)
+ tab = []
+
+ if named_columns:
+ # Environment columns are named A, B, ...
+ tab.append([''] + [chr(ord('A') + i) for i in range(n_columns)])
+
+ tab.append([''] + [c['id'] for c in results['envs']])
+
+ for case in results['cases']:
+ row = [case['id']]
+ case_results = results['tab'][case['id']]
+ for env in results['envs']:
+ res = case_results[env['id']]
row.append(result_to_text(res))
tab.append(row)
- return f'All results are in {dim}\n\n' + tabulate(tab)
+ # Add row of difference between columns. For each column starting from
+ # B we calculate difference with all previous columns.
+ row = ['', ''] # case name and first column
+ for i in range(1, n_columns):
+ cell = ''
+ env = results['envs'][i]
+ res = case_results[env['id']]
+
+ if 'average' not in res:
+ # Failed result
+ row.append(cell)
+ continue
+
+ for j in range(0, i):
+ env_j = results['envs'][j]
+ res_j = case_results[env_j['id']]
+ cell += ' '
+
+ if 'average' not in res_j:
+ # Failed result
+ cell += '--'
+ continue
+
+ col_j = tab[0][j + 1] if named_columns else ''
+ diff_pr = round((res['average'] - res_j['average']) /
+ res_j['average'] * 100)
+ cell += f' {col_j}{diff_pr:+}%'
+ row.append(cell)
+ tab.append(row)
+
+ return f'All results are in {dim}\n\n' + tabulate.tabulate(tab)