How to use hd15iqr method in pytest-benchmark

Best Python code snippet using pytest-benchmark

stats.py

Source:stats.py

...73            return self.data[0]74        else:75            return self.sorted_data[bisect_left(self.sorted_data, self.q1 - 1.5 * self.iqr)]76    @cached_property77    def hd15iqr(self):78        """79        Tukey-style Highest Datum within 1.5 IQR over Q3.80        """81        if len(self.data) == 1:82            return self.data[0]83        else:84            pos = bisect_right(self.sorted_data, self.q3 + 1.5 * self.iqr)85            if pos == len(self.data):86                return self.sorted_data[-1]87            else:88                return self.sorted_data[pos]89    @cached_property90    def q1(self):91        rounds = self.rounds...

histogram.py

Source:histogram.py

1import py2from .compat import Iterable3from .utils import TIME_UNITS4from .utils import slugify5try:6    from pygal.graph.box import Box7    from pygal.style import DefaultStyle8except ImportError as exc:9    raise ImportError(exc.args, "Please install pygal and pygaljs or pytest-benchmark[histogram]")10class CustomBox(Box):11    def _box_points(self, serie, _):12        return serie, [serie[0], serie[6]]13    def _value_format(self, x):14        return "Min: {0[0]:.4f}\n" \15               "Q1-1.5IQR: {0[1]:.4f}\n" \16               "Q1: {0[2]:.4f}\nMedian: {0[3]:.4f}\nQ3: {0[4]:.4f}\n" \17               "Q3+1.5IQR: {0[5]:.4f}\n" \18               "Max: {0[6]:.4f}".format(x[:7])19    def _format(self, x, *args):20        sup = super(CustomBox, self)._format21        if args:22            val = x.values23        else:24            val = x25        if isinstance(val, Iterable):26            return self._value_format(val), val[7]27        else:28            return sup(x, *args)29    def _tooltip_data(self, node, value, x, y, classes=None, xlabel=None):30        super(CustomBox, self)._tooltip_data(node, value[0], x, y, classes=classes, xlabel=None)31        self.svg.node(node, 'desc', class_="x_label").text = value[1]32def make_plot(benchmarks, title, adjustment):33    class Style(DefaultStyle):34        colors = ["#000000" if row["path"] else DefaultStyle.colors[1]35                  for row in benchmarks]36        font_family = 'Consolas, "Deja Vu Sans Mono", "Bitstream Vera Sans Mono", "Courier New", monospace'37    minimum = int(min(row["min"] * adjustment for row in benchmarks))38    maximum = int(max(39        min(row["max"], row["hd15iqr"]) * adjustment40        for row in benchmarks41    ) + 1)42    try:43        import pygaljs44    except ImportError:45        opts = {}46    else:47        opts = {48            "js": [49                pygaljs.uri("2.0.x", "pygal-tooltips.js")50            ]51        }52    plot = CustomBox(53        box_mode='tukey',54        x_label_rotation=-90,55        x_labels=["{0[name]}".format(row) for row in benchmarks],56        show_legend=False,57        title=title,58        x_title="Trial",59        y_title="Duration",60        style=Style,61        min_scale=20,62        max_scale=20,63        truncate_label=50,64        range=(minimum, maximum),65        zero=minimum,66        css=[67            "file://style.css",68            "file://graph.css",69            """inline:70                .tooltip .value {71                    font-size: 1em !important;72                }73                .axis text {74                    font-size: 9px !important;75                }76            """77        ],78        **opts79    )80    for row in benchmarks:81        serie = [row[field] * adjustment for field in ["min", "ld15iqr", "q1", "median", "q3", "hd15iqr", "max"]]82        serie.append(row["path"])83        plot.add("{0[fullname]} - {0[rounds]} rounds".format(row), serie)84    return plot85def make_histogram(output_prefix, name, benchmarks, unit, adjustment):86    if name:87        path = "{0}-{1}.svg".format(output_prefix, slugify(name))88        title = "Speed in {0} of {1}".format(TIME_UNITS[unit], name)89    else:90        path = "{0}.svg".format(output_prefix)91        title = "Speed in {0}".format(TIME_UNITS[unit])92    output_file = py.path.local(path).ensure()93    plot = make_plot(94        benchmarks=benchmarks,95        title=title,96        adjustment=adjustment,97    )98    plot.render_to_file(str(output_file))...

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