Esempio n. 1
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def test_read_bit_by_bit():
    tmpfile = tempfile.NamedTemporaryFile(delete=False)
    vmprof.enable(tmpfile.fileno())
    function_foo()
    vmprof.disable()
    tmpfile.close()
    stats = read_profile(tmpfile.name)
    stats.get_tree()
Esempio n. 2
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def test_read_bit_by_bit():
    tmpfile = tempfile.NamedTemporaryFile(delete=False)
    vmprof.enable(tmpfile.fileno())
    function_foo()
    vmprof.disable()
    tmpfile.close()
    stats = read_profile(tmpfile.name)
    stats.get_tree()
Esempio n. 3
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def test_line_profiling():
    tmpfile = tempfile.NamedTemporaryFile(delete=False)
    vmprof.enable(tmpfile.fileno(), lines=True, native=False)  # enable lines profiling
    function_foo()
    vmprof.disable()
    tmpfile.close()

    def walk(tree):
        assert len(tree.lines) >= len(tree.children)

        for v in six.itervalues(tree.children):
                walk(v)

    stats = read_profile(tmpfile.name)
    walk(stats.get_tree())
Esempio n. 4
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def test_line_profiling():
    tmpfile = tempfile.NamedTemporaryFile(delete=False)
    vmprof.enable(tmpfile.fileno(), lines=True, native=False)  # enable lines profiling
    function_foo()
    vmprof.disable()
    tmpfile.close()

    def walk(tree):
        assert len(tree.lines) >= len(tree.children)

        for v in six.itervalues(tree.children):
                walk(v)

    stats = read_profile(tmpfile.name)
    walk(stats.get_tree())
Esempio n. 5
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def test_line_profiling():
    filename = "/Users/palpant/test.vmprof"
    with open(filename, "wb+") as fd:
        vmprof.enable(fd.fileno(), lines=True,
                      native=False)  # enable lines profiling
        function_foo()
        vmprof.disable()

    def walk(tree):
        assert len(tree.lines) >= len(tree.children)

        for v in six.itervalues(tree.children):
            walk(v)

    stats = read_profile(filename)
    walk(stats.get_tree())
Esempio n. 6
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def parse_profile(profile: RequestProfile):
    if (profile.data and profile.data_json):
        return profile.data

    profile_dict = read_profile(io.BytesIO(profile.data))
    profile_tree = profile_dict.get_tree()
    profile_dump = profile_tree._serialize()
    profile_path = []

    cutoff_samples = int(0.85 * profile_dump[2])
    profile_next = profile_dump

    while profile_next:
        for profile_id, profile_next in enumerate(profile_next[4]):
            if (profile_next[2] > cutoff_samples):
                profile_path.append(profile_id)
                break
        else:
            break

    profile_dict = {
        "data": {
            "VM": profile_dict.interp,
            "profiles": profile_dump,
            "argv": "%s %s" % (profile_dict.interp, profile_dict.getargv()),
            "version": 2,
        }
    }

    profile_json = gzip.compress(json.dumps(profile_dict).encode('utf-8'),
                                 compresslevel=8)

    profile.data = profile_json
    profile.data_json = True
    profile.data_path = ','.join(map(str, profile_path))
    profile.size_json = len(profile_json)
    profile.save(force_update=True,
                 update_fields=['data', 'data_json', 'data_path', 'size_json'])

    return profile_json