def __init__(self, low, high, sign_figures):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
self._cached_perc = None
self._cached_stdev = None
def __init__(self, low, high, sign_figures, perc_levels=()):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
self._ff_iterator = None
self._perc_levels = perc_levels
self.known_mean = None
class RespTimesCounter(JSONConvertable):
def __init__(self, low, high, sign_figures):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
def __bool__(self):
return len(self) > 0
def __len__(self):
return self.histogram.total_count
def add(self, item, count=1):
self.histogram.record_value(item, count)
def merge(self, other):
self.histogram.add(other.histogram)
def get_percentiles_dict(self, percentiles):
return self.histogram.get_percentile_to_value_dict(percentiles)
def get_counts(self):
return self.histogram.get_value_counts()
def get_stdev(self):
return self.histogram.get_stddev()
def __json__(self):
return {
float(rt) / 1000: count
for rt, count in iteritems(self.histogram.get_value_counts())
}
def __init__(self, low, high, sign_figures):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
self._cached_perc = None
self._cached_stdev = None
def __init__(self, low, high, sign_figures, perc_levels=()):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
self._ff_iterator = None
self._perc_levels = perc_levels
self.known_mean = None
class RespTimesCounter(JSONConvertable):
def __init__(self, low, high, sign_figures):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
self._cached_perc = None
self._cached_stdev = None
def __deepcopy__(self, memo):
new = RespTimesCounter(self.low, self.high, self.sign_figures)
new._cached_perc = self._cached_perc
new._cached_stdev = self._cached_stdev
# TODO: maybe hdrpy can encapsulate this itself
new.histogram.counts = copy.deepcopy(self.histogram.counts, memo)
new.histogram.total_count = self.histogram.total_count
new.histogram.min_value = self.histogram.min_value
new.histogram.max_value= self.histogram.max_value
return new
def __bool__(self):
return len(self) > 0
def __len__(self):
return self.histogram.total_count
def add(self, item, count=1):
item = round(item * 1000.0, 3)
self._cached_perc = None
self._cached_stdev = None
self.histogram.record_value(item, count)
def merge(self, other):
self._cached_perc = None
self._cached_stdev = None
self.histogram.add(other.histogram)
def get_percentiles_dict(self, percentiles):
if self._cached_perc is None or set(self._cached_perc.keys()) != set(percentiles):
self._cached_perc = self.histogram.get_percentile_to_value_dict(percentiles)
return self._cached_perc
def get_counts(self):
return self.histogram.get_value_counts()
def get_stdev(self, mean):
if self._cached_stdev is None:
self._cached_stdev = self.histogram.get_stddev(mean) / 1000.0 # is this correct to divide?
return self._cached_stdev
def __json__(self):
return {
rt / 1000.0: int(count) # because hdrpy returns int64, which is unrecognized by json serializer
for rt, count in iteritems(self.get_counts())
}
class RespTimesCounter(JSONConvertable):
def __init__(self, low, high, sign_figures):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
def __bool__(self):
return len(self) > 0
def __len__(self):
return self.histogram.total_count
def add(self, item, count=1):
self.histogram.record_value(item, count)
def merge(self, other):
self.histogram.add(other.histogram)
def get_percentiles_dict(self, percentiles):
return self.histogram.get_percentile_to_value_dict(percentiles)
def get_counts(self):
return self.histogram.get_value_counts()
def __json__(self):
counts = self.get_counts()
return counts
class RespTimesCounter(JSONConvertible):
def __init__(self, low, high, sign_figures, perc_levels=()):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
self._ff_iterator = None
self._perc_levels = perc_levels
self.known_mean = None
def __deepcopy__(self, memo):
new = RespTimesCounter(self.low, self.high, self.sign_figures)
new._ff_iterator = self._ff_iterator
new._perc_levels = self._perc_levels
# TODO: maybe hdrpy can encapsulate this itself
new.histogram.counts = copy.deepcopy(self.histogram.counts, memo)
new.histogram.total_count = self.histogram.total_count
new.histogram.min_value = self.histogram.min_value
new.histogram.max_value = self.histogram.max_value
return new
def __bool__(self):
return len(self) > 0
def __len__(self):
return self.histogram.total_count
def add(self, item, count=1):
item = round(item * 1000.0, 3)
if item > self.high:
self.__grow(math.ceil(item / 1000.0) * 1000.0)
self._ff_iterator = None
self.histogram.record_value(item, count)
def merge(self, other):
self._ff_iterator = None
if other.high > self.high:
self.__grow(other.high)
self.histogram.add(other.histogram)
def _get_ff(self):
if self._ff_iterator is None:
self._ff_iterator = SinglePassIterator(self.histogram, self._perc_levels, self.known_mean)
for _ in self._ff_iterator:
pass # consume it
return self._ff_iterator
def get_percentiles_dict(self):
return self._get_ff().percentiles
def get_counts(self):
return self._get_ff().hist_values
def get_stdev(self):
return self._get_ff().stdev / 1000.0
def __json__(self):
return {
rt / 1000.0: int(count) # because hdrpy returns int64, which is unrecognized by json serializer
for rt, count in iteritems(self.get_counts())
}
def __grow(self, newsize):
log.debug("Growing HDR from %s to %s", self.high, newsize)
old = self.histogram
self.high = newsize
self.histogram = HdrHistogram(self.low, self.high, self.sign_figures)
self.histogram.add(old)
def __grow(self, newsize):
log.debug("Growing HDR from %s to %s", self.high, newsize)
old = self.histogram
self.high = newsize
self.histogram = HdrHistogram(self.low, self.high, self.sign_figures)
self.histogram.add(old)
class RespTimesCounter(JSONConvertible):
def __init__(self, low, high, sign_figures, perc_levels=()):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
self._ff_iterator = None
self._perc_levels = perc_levels
self.known_mean = None
def __deepcopy__(self, memo):
new = RespTimesCounter(self.low, self.high, self.sign_figures)
new._ff_iterator = self._ff_iterator
new._perc_levels = self._perc_levels
# TODO: maybe hdrpy can encapsulate this itself
new.histogram.counts = copy.deepcopy(self.histogram.counts, memo)
new.histogram.total_count = self.histogram.total_count
new.histogram.min_value = self.histogram.min_value
new.histogram.max_value = self.histogram.max_value
return new
def __bool__(self):
return len(self) > 0
def __len__(self):
return self.histogram.total_count
def add(self, item, count=1):
item = round(item * 1000.0, 3)
if item > self.high:
self.__grow(math.ceil(item / 1000.0) * 1000.0)
self._ff_iterator = None
self.histogram.record_value(item, count)
def merge(self, other):
self._ff_iterator = None
if other.high > self.high:
self.__grow(other.high)
self.histogram.add(other.histogram)
def _get_ff(self):
if self._ff_iterator is None:
self._ff_iterator = SinglePassIterator(self.histogram, self._perc_levels, self.known_mean)
for _ in self._ff_iterator:
pass # consume it
return self._ff_iterator
def get_percentiles_dict(self):
return self._get_ff().percentiles
def get_counts(self):
return self._get_ff().hist_values
def get_stdev(self):
return self._get_ff().stdev / 1000.0
def __json__(self):
return {
rt / 1000.0: int(count) # because hdrpy returns int64, which is unrecognized by json serializer
for rt, count in iteritems(self.get_counts())
}
def __grow(self, newsize):
log.debug("Growing HDR from %s to %s", self.high, newsize)
old = self.histogram
self.high = newsize
self.histogram = HdrHistogram(self.low, self.high, self.sign_figures)
self.histogram.add(old)
def __grow(self, newsize):
log.debug("Growing HDR from %s to %s", self.high, newsize)
old = self.histogram
self.high = newsize
self.histogram = HdrHistogram(self.low, self.high, self.sign_figures)
self.histogram.add(old)
class RespTimesCounter(JSONConvertible):
def __init__(self, low, high, sign_figures):
super(RespTimesCounter, self).__init__()
self.low = low
self.high = high
self.sign_figures = sign_figures
self.histogram = HdrHistogram(low, high, sign_figures)
self._cached_perc = None
self._cached_stdev = None
def __deepcopy__(self, memo):
new = RespTimesCounter(self.low, self.high, self.sign_figures)
new._cached_perc = self._cached_perc
new._cached_stdev = self._cached_stdev
# TODO: maybe hdrpy can encapsulate this itself
new.histogram.counts = copy.deepcopy(self.histogram.counts, memo)
new.histogram.total_count = self.histogram.total_count
new.histogram.min_value = self.histogram.min_value
new.histogram.max_value = self.histogram.max_value
return new
def __bool__(self):
return len(self) > 0
def __len__(self):
return self.histogram.total_count
def add(self, item, count=1):
item = round(item * 1000.0, 3)
if item > self.high:
self.__grow(math.ceil(item / 1000.0) * 1000.0)
self._cached_perc = None
self._cached_stdev = None
self.histogram.record_value(item, count)
def merge(self, other):
self._cached_perc = None
self._cached_stdev = None
if other.high > self.high:
self.__grow(other.high)
self.histogram.add(other.histogram)
def get_percentiles_dict(self, percentiles):
if self._cached_perc is None or set(self._cached_perc.keys()) != set(percentiles):
self._cached_perc = self.histogram.get_percentile_to_value_dict(percentiles)
return self._cached_perc
def get_counts(self):
return self.histogram.get_value_counts()
def get_stdev(self, mean):
if self._cached_stdev is None:
self._cached_stdev = self.histogram.get_stddev(mean) / 1000.0 # is this correct to divide?
return self._cached_stdev
def __json__(self):
return {
rt / 1000.0: int(count) # because hdrpy returns int64, which is unrecognized by json serializer
for rt, count in iteritems(self.get_counts())
}
def __grow(self, newsize):
log.debug("Growing HDR from %s to %s", self.high, newsize)
old = self.histogram
self.high = newsize
self.histogram = HdrHistogram(self.low, self.high, self.sign_figures)
self.histogram.add(old)