Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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from __future__ import print_function
import sys
import os
SUMMARY_XML_FILENAME = "Summary.xml"
# Note that this is python2 compatible, since that's currently what's installed on most CI images.
def check_coverage(root_dir, min_percentage):
# Walk the root directory looking for the summary file that
# is output by ther code coverage checks. It's possible that
# we'll need to refine this later in case there are multiple
# such files.
summary_xml = None
for dirpath, _, filenames in os.walk(root_dir):
if SUMMARY_XML_FILENAME in filenames:
summary_xml = os.path.join(dirpath, SUMMARY_XML_FILENAME)
break
if not summary_xml:
print("Couldn't find {} in root directory".format(SUMMARY_XML_FILENAME))
sys.exit(1)
with open(summary_xml) as f:
# Rather than try to parse the XML, just look for a line of the form
# <Linecoverage>73.9</Linecoverage>
lines = f.readlines()
for line in lines:
if "Linecoverage" in line:
pct = line.replace("<Linecoverage>", "").replace("</Linecoverage>", "")
pct = float(pct)
if pct < min_percentage:
print(
"Coverage {} is below the min percentage of {}.".format(
pct, min_percentage
)
)
sys.exit(1)
else:
print(
"Coverage {} is above the min percentage of {}.".format(
pct, min_percentage
)
)
sys.exit(0)
# Couldn't find the results in the file.
print("Couldn't find Linecoverage in summary file")
sys.exit(1)
def main():
root_dir = sys.argv[1]
min_percent = float(sys.argv[2])
if min_percent > 0:
# This allows us to set 0% coverage on 2018.4
check_coverage(root_dir, min_percent)
if __name__ == "__main__":
main()