def run(self):
"""The main function that will be called by command-line execution
of the tool.
"""
analysis = self._analysis
# Dynamically decorate each analysis step
for step in analysis.pipeline:
# Time step plus redirect stdout to /dev/null
step.apply = task_timing(step.message)(stdout_redirected()(
step.apply))
# Run analysis while timing each step, plus total time
with task_timing('total time'):
analysis.run()
# Print statistics
print "\n\n[Statistics]\n"
print analysis.stats
def _analyze(cls, filename):
# Get paths to source and bitcode file
srcfile = os.path.join(cls.SOURCES_DIR, filename)
bcfile = rt.FileManager().mktemp(suffix='.bc')
# Compile bitcode
compile_bitcode(srcfile, bcfile)
# Create temporary directory for analysis
tmpdir = rt.FileManager().mkdtemp()
try:
# Run analysis
config = AnalysisConfig(bcfile, output_dir=tmpdir)
analysis = Analysis(config)
with stdout_redirected():
analysis.enable_exports()
analysis.run()
finally:
os.remove(bcfile)
return analysis
def run(self):
"""The main function that will be called by command-line execution
of the tool.
"""
analysis = self._analysis
# Dynamically decorate each analysis step
for step in analysis.pipeline:
# Time step plus redirect stdout to /dev/null
step.apply = task_timing(step.message)(
stdout_redirected()(
step.apply
)
)
# Run analysis while timing each step, plus total time
with task_timing('total time'):
analysis.run()
# Print statistics
print "\n\n[Statistics]\n"
print analysis.stats