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Add .clang-format files and format more files

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The .clang-format files tell clang-format to ignore certain directories
(replacing code in lint_clang_format.sh which will be removed).

$ git ls-tree -r master --name-only | grep '\.\(c\|h\|cpp\|gn\|gni\|mm\|m\|py\)$' | xargs ./append-space-to-files
$ git checkout -- generator/templates third_party/khronos/{KHR,vulkan}
$ git cl format --full --python

Followed by manual reformatting of a few things in Python for
readability.

Bug: none
Change-Id: I4c9e472cc9a5cd80c07286e808f4e597cfef5428
Reviewed-on: https://dawn-review.googlesource.com/c/dawn/+/24785
Reviewed-by: Kai Ninomiya <kainino@chromium.org>
Commit-Queue: Kai Ninomiya <kainino@chromium.org>
This commit is contained in:
Kai Ninomiya
2020-07-15 19:51:17 +00:00
committed by Commit Bot service account
parent 5a1d39ad0b
commit 01aeca22a9
12 changed files with 508 additions and 200 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
scripts/perf_test_runner.py
View File

@@ -22,7 +22,8 @@ import sys
import os
import re
base_path = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..'))
base_path = os.path.abspath(
os.path.join(os.path.dirname(os.path.abspath(__file__)), '..'))
# Look for a [Rr]elease build.
perftests_paths = glob.glob('out/*elease*')
@@ -35,6 +36,7 @@ if sys.platform == 'win32':
scores = []
def mean(data):
"""Return the sample arithmetic mean of data."""
n = len(data)
@@ -102,6 +104,7 @@ if len(sys.argv) >= 2:
print('Using test executable: ' + perftests_path)
print('Test name: ' + test_name)
def get_results(metric, extra_args=[]):
process = subprocess.Popen(
[perftests_path, '--gtest_filter=' + test_name] + extra_args,
@@ -139,11 +142,14 @@ for experiment in range(max_experiments):
if (len(scores) > 1):
sys.stdout.write(", mean: %.2f" % mean(scores))
sys.stdout.write(", variation: %.2f%%" % (coefficient_of_variation(scores) * 100.0))
sys.stdout.write(", variation: %.2f%%" %
(coefficient_of_variation(scores) * 100.0))
if (len(scores) > 7):
truncation_n = len(scores) >> 3
sys.stdout.write(", truncated mean: %.2f" % truncated_mean(scores, truncation_n))
sys.stdout.write(", variation: %.2f%%" % (truncated_cov(scores, truncation_n) * 100.0))
sys.stdout.write(", truncated mean: %.2f" %
truncated_mean(scores, truncation_n))
sys.stdout.write(", variation: %.2f%%" %
(truncated_cov(scores, truncation_n) * 100.0))
print("")