#!/usr/bin/env python # # Copyright 2012 the V8 project authors. All rights reserved. # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. import json import math import multiprocessing import optparse import os from os.path import join import random import shlex import subprocess import sys import time from testrunner.local import execution from testrunner.local import progress from testrunner.local import testsuite from testrunner.local import utils from testrunner.local import verbose from testrunner.objects import context ARCH_GUESS = utils.DefaultArch() DEFAULT_TESTS = ["mjsunit", "webkit"] TIMEOUT_DEFAULT = 60 TIMEOUT_SCALEFACTOR = {"debug" : 4, "release" : 1 } MODE_FLAGS = { "debug" : ["--nobreak-on-abort", "--nodead-code-elimination", "--nofold-constants", "--enable-slow-asserts", "--debug-code", "--verify-heap", "--noconcurrent-recompilation"], "release" : ["--nobreak-on-abort", "--nodead-code-elimination", "--nofold-constants", "--noconcurrent-recompilation"]} SUPPORTED_ARCHS = ["android_arm", "android_ia32", "arm", "ia32", "mipsel", "nacl_ia32", "nacl_x64", "x64"] # Double the timeout for these: SLOW_ARCHS = ["android_arm", "android_ia32", "arm", "mipsel", "nacl_ia32", "nacl_x64"] MAX_DEOPT = 1000000000 DISTRIBUTION_MODES = ["smooth", "random"] class RandomDistribution: def __init__(self, seed=None): seed = seed or random.randint(1, sys.maxint) print "Using random distribution with seed %d" % seed self._random = random.Random(seed) def Distribute(self, n, m): if n > m: n = m return self._random.sample(xrange(1, m + 1), n) class SmoothDistribution: """Distribute n numbers into the interval [1:m]. F1: Factor of the first derivation of the distribution function. F2: Factor of the second derivation of the distribution function. With F1 and F2 set to 0, the distribution will be equal. """ def __init__(self, factor1=2.0, factor2=0.2): self._factor1 = factor1 self._factor2 = factor2 def Distribute(self, n, m): if n > m: n = m if n <= 1: return [ 1 ] result = [] x = 0.0 dx = 1.0 ddx = self._factor1 dddx = self._factor2 for i in range(0, n): result += [ x ] x += dx dx += ddx ddx += dddx # Project the distribution into the interval [0:M]. result = [ x * m / result[-1] for x in result ] # Equalize by n. The closer n is to m, the more equal will be the # distribution. for (i, x) in enumerate(result): # The value of x if it was equally distributed. equal_x = i / float(n - 1) * float(m - 1) + 1 # Difference factor between actual and equal distribution. diff = 1 - (x / equal_x) # Equalize x dependent on the number of values to distribute. result[i] = int(x + (i + 1) * diff) return result def Distribution(options): if options.distribution_mode == "random": return RandomDistribution(options.seed) if options.distribution_mode == "smooth": return SmoothDistribution(options.distribution_factor1, options.distribution_factor2) def BuildOptions(): result = optparse.OptionParser() result.add_option("--arch", help=("The architecture to run tests for, " "'auto' or 'native' for auto-detect"), default="ia32,x64,arm") result.add_option("--arch-and-mode", help="Architecture and mode in the format 'arch.mode'", default=None) result.add_option("--asan", help="Regard test expectations for ASAN", default=False, action="store_true") result.add_option("--buildbot", help="Adapt to path structure used on buildbots", default=False, action="store_true") result.add_option("--command-prefix", help="Prepended to each shell command used to run a test", default="") result.add_option("--coverage", help=("Exponential test coverage " "(range 0.0, 1.0) -- 0.0: one test, 1.0 all tests (slow)"), default=0.4, type="float") result.add_option("--coverage-lift", help=("Lifts test coverage for tests " "with a small number of deopt points (range 0, inf)"), default=20, type="int") result.add_option("--download-data", help="Download missing test suite data", default=False, action="store_true") result.add_option("--distribution-factor1", help=("Factor of the first " "derivation of the distribution function"), default=2.0, type="float") result.add_option("--distribution-factor2", help=("Factor of the second " "derivation of the distribution function"), default=0.7, type="float") result.add_option("--distribution-mode", help=("How to select deopt points " "for a given test (smooth|random)"), default="smooth") result.add_option("--dump-results-file", help=("Dump maximum number of " "deopt points per test to a file")) result.add_option("--extra-flags", help="Additional flags to pass to each test command", default="") result.add_option("--isolates", help="Whether to test isolates", default=False, action="store_true") result.add_option("-j", help="The number of parallel tasks to run", default=0, type="int") result.add_option("-m", "--mode", help="The test modes in which to run (comma-separated)", default="release,debug") result.add_option("--outdir", help="Base directory with compile output", default="out") result.add_option("-p", "--progress", help=("The style of progress indicator" " (verbose, dots, color, mono)"), choices=progress.PROGRESS_INDICATORS.keys(), default="mono") result.add_option("--shard-count", help="Split testsuites into this number of shards", default=1, type="int") result.add_option("--shard-run", help="Run this shard from the split up tests.", default=1, type="int") result.add_option("--shell-dir", help="Directory containing executables", default="") result.add_option("--seed", help="The seed for the random distribution", type="int") result.add_option("-t", "--timeout", help="Timeout in seconds", default= -1, type="int") result.add_option("-v", "--verbose", help="Verbose output", default=False, action="store_true") return result def ProcessOptions(options): global VARIANT_FLAGS # Architecture and mode related stuff. if options.arch_and_mode: tokens = options.arch_and_mode.split(".") options.arch = tokens[0] options.mode = tokens[1] options.mode = options.mode.split(",") for mode in options.mode: if not mode.lower() in ["debug", "release"]: print "Unknown mode %s" % mode return False if options.arch in ["auto", "native"]: options.arch = ARCH_GUESS options.arch = options.arch.split(",") for arch in options.arch: if not arch in SUPPORTED_ARCHS: print "Unknown architecture %s" % arch return False # Special processing of other options, sorted alphabetically. options.command_prefix = shlex.split(options.command_prefix) options.extra_flags = shlex.split(options.extra_flags) if options.j == 0: options.j = multiprocessing.cpu_count() if not options.distribution_mode in DISTRIBUTION_MODES: print "Unknown distribution mode %s" % options.distribution_mode return False if options.distribution_factor1 < 0.0: print ("Distribution factor1 %s is out of range. Defaulting to 0.0" % options.distribution_factor1) options.distribution_factor1 = 0.0 if options.distribution_factor2 < 0.0: print ("Distribution factor2 %s is out of range. Defaulting to 0.0" % options.distribution_factor2) options.distribution_factor2 = 0.0 if options.coverage < 0.0 or options.coverage > 1.0: print ("Coverage %s is out of range. Defaulting to 0.4" % options.coverage) options.coverage = 0.4 if options.coverage_lift < 0: print ("Coverage lift %s is out of range. Defaulting to 0" % options.coverage_lift) options.coverage_lift = 0 return True def ShardTests(tests, shard_count, shard_run): if shard_count < 2: return tests if shard_run < 1 or shard_run > shard_count: print "shard-run not a valid number, should be in [1:shard-count]" print "defaulting back to running all tests" return tests count = 0 shard = [] for test in tests: if count % shard_count == shard_run - 1: shard.append(test) count += 1 return shard def Main(): parser = BuildOptions() (options, args) = parser.parse_args() if not ProcessOptions(options): parser.print_help() return 1 exit_code = 0 workspace = os.path.abspath(join(os.path.dirname(sys.argv[0]), "..")) suite_paths = utils.GetSuitePaths(join(workspace, "test")) if len(args) == 0: suite_paths = [ s for s in suite_paths if s in DEFAULT_TESTS ] else: args_suites = set() for arg in args: suite = arg.split(os.path.sep)[0] if not suite in args_suites: args_suites.add(suite) suite_paths = [ s for s in suite_paths if s in args_suites ] suites = [] for root in suite_paths: suite = testsuite.TestSuite.LoadTestSuite( os.path.join(workspace, "test", root)) if suite: suites.append(suite) if options.download_data: for s in suites: s.DownloadData() for mode in options.mode: for arch in options.arch: code = Execute(arch, mode, args, options, suites, workspace) exit_code = exit_code or code return exit_code def CalculateNTests(m, options): """Calculates the number of tests from m deopt points with exponential coverage. The coverage is expected to be between 0.0 and 1.0. The 'coverage lift' lifts the coverage for tests with smaller m values. """ c = float(options.coverage) l = float(options.coverage_lift) return int(math.pow(m, (m * c + l) / (m + l))) def Execute(arch, mode, args, options, suites, workspace): print(">>> Running tests for %s.%s" % (arch, mode)) dist = Distribution(options) shell_dir = options.shell_dir if not shell_dir: if options.buildbot: shell_dir = os.path.join(workspace, options.outdir, mode) mode = mode.lower() else: shell_dir = os.path.join(workspace, options.outdir, "%s.%s" % (arch, mode)) shell_dir = os.path.relpath(shell_dir) # Populate context object. mode_flags = MODE_FLAGS[mode] timeout = options.timeout if timeout == -1: # Simulators are slow, therefore allow a longer default timeout. if arch in SLOW_ARCHS: timeout = 2 * TIMEOUT_DEFAULT; else: timeout = TIMEOUT_DEFAULT; timeout *= TIMEOUT_SCALEFACTOR[mode] ctx = context.Context(arch, mode, shell_dir, mode_flags, options.verbose, timeout, options.isolates, options.command_prefix, options.extra_flags, False) # Find available test suites and read test cases from them. variables = { "arch": arch, "asan": options.asan, "deopt_fuzzer": True, "gc_stress": False, "isolates": options.isolates, "mode": mode, "no_i18n": False, "system": utils.GuessOS(), } all_tests = [] num_tests = 0 test_id = 0 # Remember test case prototypes for the fuzzing phase. test_backup = dict((s, []) for s in suites) for s in suites: s.ReadStatusFile(variables) s.ReadTestCases(ctx) if len(args) > 0: s.FilterTestCasesByArgs(args) all_tests += s.tests s.FilterTestCasesByStatus(False) test_backup[s] = s.tests analysis_flags = ["--deopt-every-n-times", "%d" % MAX_DEOPT, "--print-deopt-stress"] s.tests = [ t.CopyAddingFlags(analysis_flags) for t in s.tests ] num_tests += len(s.tests) for t in s.tests: t.id = test_id test_id += 1 if num_tests == 0: print "No tests to run." return 0 try: print(">>> Collection phase") progress_indicator = progress.PROGRESS_INDICATORS[options.progress]() runner = execution.Runner(suites, progress_indicator, ctx) exit_code = runner.Run(options.j) if runner.terminate: return exit_code except KeyboardInterrupt: return 1 print(">>> Analysis phase") num_tests = 0 test_id = 0 for s in suites: test_results = {} for t in s.tests: for line in t.output.stdout.splitlines(): if line.startswith("=== Stress deopt counter: "): test_results[t.path] = MAX_DEOPT - int(line.split(" ")[-1]) for t in s.tests: if t.path not in test_results: print "Missing results for %s" % t.path if options.dump_results_file: results_dict = dict((t.path, n) for (t, n) in test_results.iteritems()) with file("%s.%d.txt" % (dump_results_file, time.time()), "w") as f: f.write(json.dumps(results_dict)) # Reset tests and redistribute the prototypes from the collection phase. s.tests = [] if options.verbose: print "Test distributions:" for t in test_backup[s]: max_deopt = test_results.get(t.path, 0) if max_deopt == 0: continue n_deopt = CalculateNTests(max_deopt, options) distribution = dist.Distribute(n_deopt, max_deopt) if options.verbose: print "%s %s" % (t.path, distribution) for i in distribution: fuzzing_flags = ["--deopt-every-n-times", "%d" % i] s.tests.append(t.CopyAddingFlags(fuzzing_flags)) num_tests += len(s.tests) for t in s.tests: t.id = test_id test_id += 1 if num_tests == 0: print "No tests to run." return 0 try: print(">>> Deopt fuzzing phase (%d test cases)" % num_tests) progress_indicator = progress.PROGRESS_INDICATORS[options.progress]() runner = execution.Runner(suites, progress_indicator, ctx) exit_code = runner.Run(options.j) if runner.terminate: return exit_code except KeyboardInterrupt: return 1 return exit_code if __name__ == "__main__": sys.exit(Main())