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PPCA-AIPacMan-2024/logic/doctests.py
2024-06-25 15:51:24 +08:00

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Python

# doctests.py
# -----------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# Attribution Information: The Pacman AI projects were developed at UC Berkeley.
# The core projects and autograders were primarily created by John DeNero
# (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu).
# Student side autograding was added by Brad Miller, Nick Hay, and
# Pieter Abbeel (pabbeel@cs.berkeley.edu).
"""Run all doctests from modules on the command line. Use -v for verbose.
Example usages:
python doctests.py *.py
python doctests.py -v *.py
You can add more module-level tests with
__doc__ += "..."
You can add stochastic tests with
__doc__ += random_tests("...")
"""
if __name__ == "__main__":
import sys, glob, doctest
args = [arg for arg in sys.argv[1:] if arg != '-v']
if not args: args = ['*.py']
modules = [__import__(name.replace('.py',''))
for arg in args for name in glob.glob(arg)]
print("Testing %d modules..." % len(modules))
for module in modules:
doctest.testmod(module, report=1, optionflags=doctest.REPORT_UDIFF)
summary = doctest.master.summarize() if modules else (0, 0)
print()
print()
print('%d failed out of %d tests' % summary)