Skip to content

BF: Fix benchmark range bounds #336

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 5, 2015
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion nibabel/benchmarks/bench_array_to_file.py
Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@ def bench_array_to_file():
mtime = measure('array_to_file(arr, BytesIO(), np.int16)', repeat)
print('%30s %6.2f' % ('Save float64 to int16, infs', mtime))
# Int16 input, float output
arr = np.random.random_integers(low=-1000,high=-1000, size=img_shape)
arr = np.random.random_integers(low=-1000, high=1000, size=img_shape)
arr = arr.astype(np.int16)
mtime = measure('array_to_file(arr, BytesIO(), np.float32)', repeat)
print('%30s %6.2f' % ('Save Int16 to float32', mtime))
Expand Down
2 changes: 1 addition & 1 deletion nibabel/benchmarks/bench_finite_range.py
Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ def bench_finite_range():
mtime = measure('finite_range(arr)', repeat)
print('%30s %6.2f' % ('float64 many infs', mtime))
# Int16 input, float output
arr = np.random.random_integers(low=-1000,high=-1000, size=img_shape)
arr = np.random.random_integers(low=-1000, high=1000, size=img_shape)
arr = arr.astype(np.int16)
mtime = measure('finite_range(arr)', repeat)
print('%30s %6.2f' % ('int16', mtime))
Expand Down
2 changes: 1 addition & 1 deletion nibabel/benchmarks/bench_load_save.py
Original file line number Diff line number Diff line change
Expand Up @@ -56,7 +56,7 @@ def bench_load_save():
mtime = measure('img.from_file_map(img.file_map)', repeat)
print('%30s %6.2f' % ('Load from int16, NaNs', mtime))
# Int16 input, float output
arr = np.random.random_integers(low=-1000,high=-1000, size=img_shape)
arr = np.random.random_integers(low=-1000, high=1000, size=img_shape)
arr = arr.astype(np.int16)
img = Nifti1Image(arr, np.eye(4))
sio = BytesIO()
Expand Down