How to use hist_to_quant method in yandex-tank

Best Python code snippet using yandex-tank

screen.py

Source:screen.py Github

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...564 if ts - second > 60:565 self.last_min.pop(second)566 self.last_min[ts] = dist567 def __calc_percentiles(self):568 def hist_to_quant(histogram, quant):569 cumulative = histogram.cumsum()570 total = cumulative.max()571 positions = cumulative.searchsorted([float(i) / 100 * total for i in quant])572 quant_times = [cumulative.index[i] / 1000. for i in positions]573 return quant_times574 all_times = hist_to_quant(self.overall, self.quantiles)575 last_data = self.last_min[max(self.last_min.keys())]576 last_times = hist_to_quant(last_data, self.quantiles)577 # Check if we have precise data for last second quantiles instead of binned histogram578 for position, q in enumerate(self.quantiles):579 if q in self.precise_quantiles:580 last_times[position] = self.precise_quantiles[q]581 # Replace binned values with precise, if lower quantile bin happens to be582 # greater than upper quantile precise values583 for position in reversed(range(1, len(last_times))):584 if last_times[position - 1] > last_times[position]:585 last_times[position - 1] = last_times[position]586 last_1m = pd.Series()587 for ts, data in self.last_min.items():588 if last_1m.empty:589 last_1m = data590 else:591 last_1m = last_1m.add(data, fill_value=0)592 last_1m_times = hist_to_quant(last_1m, self.quantiles)593 quant_times = reversed(594 list(zip(self.quantiles, all_times, last_1m_times, last_times))595 )596 data = []597 for q, all_time, last_1m, last_time in quant_times:598 data.append({599 'quantile': q,600 'all': all_time,601 'last_1m': last_1m,602 'last': last_time603 })604 return data605 def render(self, expected_width=None):606 prepared = [(self.screen.markup.WHITE, self.title)]...

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