How to use the gprof2dot.Event function in gprof2dot

return self._formatter(val)


CALLS = Event("Calls", 0, add, times)
SAMPLES = Event("Samples", 0, add, times)
SAMPLES2 = Event("Samples", 0, add, times)

# Count of samples where a given function was either executing or on the stack.
# This is used to calculate the total time ratio according to the
# straightforward method described in Mike Dunlavey's answer to
# stackoverflow.com/questions/1777556/alternatives-to-gprof, item 4 (the myth
# "that recursion is a tricky confusing issue"), last edited 2012-08-30: it's
# just the ratio of TOTAL_SAMPLES over the number of samples in the profile.
#
# Used only when totalMethod == callstacks
TOTAL_SAMPLES = Event("Samples", 0, add, times)

TIME = Event("Time", 0.0, add, lambda x: '(' + str(x) + ')')
TIME_RATIO = Event("Time ratio", 0.0, add, lambda x: '(' + percentage(x) + ')')
TOTAL_TIME = Event("Total time", 0.0, fail)
TOTAL_TIME_RATIO = Event("Total time ratio", 0.0, fail, percentage)

labels = {
    'self-time': TIME,
    'self-time-percentage': TIME_RATIO,
    'total-time': TOTAL_TIME,
    'total-time-percentage': TOTAL_TIME_RATIO,
}
defaultLabelNames = ['total-time-percentage', 'self-time-percentage']

totalMethod = 'callratios'

CALLS = Event("Calls", 0, add, times)
SAMPLES = Event("Samples", 0, add, times)
SAMPLES2 = Event("Samples", 0, add, times)

# Count of samples where a given function was either executing or on the stack.
# This is used to calculate the total time ratio according to the
# straightforward method described in Mike Dunlavey's answer to
# stackoverflow.com/questions/1777556/alternatives-to-gprof, item 4 (the myth
# "that recursion is a tricky confusing issue"), last edited 2012-08-30: it's
# just the ratio of TOTAL_SAMPLES over the number of samples in the profile.
#
# Used only when totalMethod == callstacks
TOTAL_SAMPLES = Event("Samples", 0, add, times)

TIME = Event("Time", 0.0, add, lambda x: '(' + str(x) + ')')
TIME_RATIO = Event("Time ratio", 0.0, add, lambda x: '(' + percentage(x) + ')')
TOTAL_TIME = Event("Total time", 0.0, fail)
TOTAL_TIME_RATIO = Event("Total time ratio", 0.0, fail, percentage)

labels = {
    'self-time': TIME,
    'self-time-percentage': TIME_RATIO,
    'total-time': TOTAL_TIME,
    'total-time-percentage': TOTAL_TIME_RATIO,
}
defaultLabelNames = ['total-time-percentage', 'self-time-percentage']

totalMethod = 'callratios'


class Object(object):
    """Base class for all objects in profile which can store events."""

CALLS = Event("Calls", 0, add, times)
SAMPLES = Event("Samples", 0, add, times)
SAMPLES2 = Event("Samples", 0, add, times)

# Count of samples where a given function was either executing or on the stack.
# This is used to calculate the total time ratio according to the
# straightforward method described in Mike Dunlavey's answer to
# stackoverflow.com/questions/1777556/alternatives-to-gprof, item 4 (the myth
# "that recursion is a tricky confusing issue"), last edited 2012-08-30: it's
# just the ratio of TOTAL_SAMPLES over the number of samples in the profile.
#
# Used only when totalMethod == callstacks
TOTAL_SAMPLES = Event("Samples", 0, add, times)

TIME = Event("Time", 0.0, add, lambda x: '(' + str(x) + ')')
TIME_RATIO = Event("Time ratio", 0.0, add, lambda x: '(' + percentage(x) + ')')
TOTAL_TIME = Event("Total time", 0.0, fail)
TOTAL_TIME_RATIO = Event("Total time ratio", 0.0, fail, percentage)

labels = {
    'self-time': TIME,
    'self-time-percentage': TIME_RATIO,
    'total-time': TOTAL_TIME,
    'total-time-percentage': TOTAL_TIME_RATIO,
}
defaultLabelNames = ['total-time-percentage', 'self-time-percentage']

totalMethod = 'callratios'


class Object(object):

SAMPLES2 = Event("Samples", 0, add, times)

# Count of samples where a given function was either executing or on the stack.
# This is used to calculate the total time ratio according to the
# straightforward method described in Mike Dunlavey's answer to
# stackoverflow.com/questions/1777556/alternatives-to-gprof, item 4 (the myth
# "that recursion is a tricky confusing issue"), last edited 2012-08-30: it's
# just the ratio of TOTAL_SAMPLES over the number of samples in the profile.
#
# Used only when totalMethod == callstacks
TOTAL_SAMPLES = Event("Samples", 0, add, times)

TIME = Event("Time", 0.0, add, lambda x: '(' + str(x) + ')')
TIME_RATIO = Event("Time ratio", 0.0, add, lambda x: '(' + percentage(x) + ')')
TOTAL_TIME = Event("Total time", 0.0, fail)
TOTAL_TIME_RATIO = Event("Total time ratio", 0.0, fail, percentage)

labels = {
    'self-time': TIME,
    'self-time-percentage': TIME_RATIO,
    'total-time': TOTAL_TIME,
    'total-time-percentage': TOTAL_TIME_RATIO,
}
defaultLabelNames = ['total-time-percentage', 'self-time-percentage']

totalMethod = 'callratios'


class Object(object):
    """Base class for all objects in profile which can store events."""

    def __init__(self, events=None):

def null(self):
        return self._null

    def aggregate(self, val1, val2):
        """Aggregate two event values."""
        assert val1 is not None
        assert val2 is not None
        return self._aggregator(val1, val2)
    
    def format(self, val):
        """Format an event value."""
        assert val is not None
        return self._formatter(val)


CALLS = Event("Calls", 0, add, times)
SAMPLES = Event("Samples", 0, add, times)
SAMPLES2 = Event("Samples", 0, add, times)

# Count of samples where a given function was either executing or on the stack.
# This is used to calculate the total time ratio according to the
# straightforward method described in Mike Dunlavey's answer to
# stackoverflow.com/questions/1777556/alternatives-to-gprof, item 4 (the myth
# "that recursion is a tricky confusing issue"), last edited 2012-08-30: it's
# just the ratio of TOTAL_SAMPLES over the number of samples in the profile.
#
# Used only when totalMethod == callstacks
TOTAL_SAMPLES = Event("Samples", 0, add, times)

TIME = Event("Time", 0.0, add, lambda x: '(' + str(x) + ')')
TIME_RATIO = Event("Time ratio", 0.0, add, lambda x: '(' + percentage(x) + ')')
TOTAL_TIME = Event("Total time", 0.0, fail)