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Generalized btree benchmarks, amortized benchmarks, plot.py/plotmpl.py tweaks

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These benchmarks are now more useful for seeing how these B-trees perform.

In plot.py/plotmpl.py:

- Added --legend as another alias for -l, --legend-right.

- Allowed omitting of datasets from the legend by using empty strings
  in --labels.

- Do not sum multiple data points on the same x coordinate. This was a
  bad idea that risks invalid results going unnoticed.

  As a plus multiple data points on the same x coordinate can be abused for
  a cheap representation of measurement error.
This commit is contained in:
Christopher Haster
2023-03-17 01:58:39 -05:00
parent 67826159fd
commit 27fc481ec2
3 changed files with 92 additions and 69 deletions
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49
scripts/plotmpl.py
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@@ -214,7 +214,7 @@ def collect(csv_paths, renames=[]):
def dataset(results, x=None, y=None, define=[]):
# organize by 'by', x, and y
dataset = {}
dataset = []
i = 0
for r in results:
# filter results by matching defines
@@ -244,10 +244,7 @@ def dataset(results, x=None, y=None, define=[]):
else:
y_ = None
if y_ is not None:
dataset[x_] = y_ + dataset.get(x_, 0)
else:
dataset[x_] = y_ or dataset.get(x_, None)
dataset.append((x_, y_))
return dataset
@@ -649,7 +646,7 @@ def main(csv_paths, output, *,
if labels is not None:
labels_ = labels
else:
labels_ = ['']
labels_ = [None]
if font_color is not None:
font_color_ = font_color
@@ -844,7 +841,7 @@ def main(csv_paths, output, *,
# plot!
ax = s.ax
for name, dataset in subdatasets.items():
dats = sorted((x,y) for x,y in dataset.items())
dats = sorted((x,y) for x,y in dataset)
ax.plot([x for x,_ in dats], [y for _,y in dats],
dataformats_[name],
color=datacolors_[name],
@@ -860,26 +857,26 @@ def main(csv_paths, output, *,
# axes limits
ax.set_xlim(
xlim_[0] if xlim_[0] is not None
else min(it.chain([0], (k
for r in subdatasets.values()
for k, v in r.items()
if v is not None))),
else min(it.chain([0], (x
for dataset in subdatasets.values()
for x, y in dataset
if y is not None))),
xlim_[1] if xlim_[1] is not None
else max(it.chain([0], (k
else max(it.chain([0], (x
for r in subdatasets.values()
for k, v in r.items()
if v is not None))))
for x, y in dataset
if y is not None))))
ax.set_ylim(
ylim_[0] if ylim_[0] is not None
else min(it.chain([0], (v
for r in subdatasets.values()
for _, v in r.items()
if v is not None))),
else min(it.chain([0], (y
for dataset in subdatasets.values()
for _, y in dataset
if y is not None))),
ylim_[1] if ylim_[1] is not None
else max(it.chain([0], (v
for r in subdatasets.values()
for _, v in r.items()
if v is not None))))
else max(it.chain([0], (y
for dataset in subdatasets.values()
for _, y in dataset
if y is not None))))
# axes ticks
if x2_:
ax.xaxis.set_major_formatter(lambda x, pos:
@@ -960,7 +957,10 @@ def main(csv_paths, output, *,
for name in datasets_.keys():
name_ = ','.join(k for k in name if k)
if name_ in legend:
legend_.append((datalabels_[name] or name_, legend[name_]))
if datalabels_[name] is None:
legend_.append((name_, legend[name_]))
elif datalabels_[name]:
legend_.append((datalabels_[name], legend[name_]))
legend = legend_
if legend_right:
@@ -1226,7 +1226,8 @@ if __name__ == "__main__":
'-t', '--title',
help="Add a title.")
parser.add_argument(
'-l', '--legend-right',
'-l', '--legend', '--legend-right',
dest='legend_right',
action='store_true',
help="Place a legend to the right.")
parser.add_argument(