def histogram(self, key, biased=False):
"""
Gets a histogram based on a key, creates a new one if it does not exist.
@param key: name of the metric
@type key: C{str}
@return: L{Histogram}
"""
if key not in self._histograms:
if biased:
self._histograms[key] = Histogram.get_biased()
else:
self._histograms[key] = Histogram.get_uniform()
return self._histograms[key]
def histogram(self, key, biased=False):
"""
Gets a histogram based on a key, creates a new one if it does not exist.
@param key: name of the metric
@type key: C{str}
@return: L{Histogram}
"""
if key not in self._histograms:
if biased:
self._histograms[key] = Histogram.get_biased()
else:
self._histograms[key] = Histogram.get_uniform()
return self._histograms[key]
def test_unique_uniform_histogram(self):
new_histogram = Histogram.get_uniform()
self.assertIsNot(new_histogram.sample, self.histogram_u.sample)
def test_unique_biased_histogram(self):
new_histogram = Histogram.get_biased()
self.assertIsNot(new_histogram.sample, self.histogram_b.sample)
def setUp(self):
self.histogram_b = Histogram.get_biased()
self.histogram_u = Histogram.get_uniform()
def setUp(self):
self.histogram_b = Histogram.get_biased()
self.histogram_u = Histogram.get_uniform()
def test_unique_uniform_histogram(self):
new_histogram = Histogram.get_uniform()
self.assertIsNot(new_histogram.sample, self.histogram_u.sample)
def test_unique_biased_histogram(self):
new_histogram = Histogram.get_biased()
self.assertIsNot(new_histogram.sample, self.histogram_b.sample)
def __init__(self):
"""
Creates a new L{Timer} instance.
"""
self.histogram = Histogram.get_biased()
self.meter = Meter("calls")
