Commit 3cc35d81 authored by Stefan Reif's avatar Stefan Reif
Browse files

...

parent ccba7c21

xlap/analyse/e2e.py

+10 −2
Original line number Diff line number Diff line
@@ -5,6 +5,13 @@ from scipy import stats 
import matplotlib.pyplot as plt

import xlap.analyse.latency as latency



plt.rcParams['ps.useafm'] = True

plt.rcParams['pdf.use14corefonts'] = True

plt.rcParams['text.usetex'] = False

plt.rcParams['font.family'] = 'sans-serif'

#plt.rcParams['font.sans-serif'] = 'Latin Modern Sans'

#plt.rcParams['font.monospace']  = 'FreeMono'



# Taken from: http://composition.al/blog/2015/11/29/a-better-way-to-add-labels-to-bar-charts-with-matplotlib/

def autolabel(rects, ax, labels):

    # Get y-axis height to calculate label position from.
@@ -26,7 +33,7 @@ def autolabel(rects, ax, labels): 
            color = "white"

            align = "right"

        else:

            label_position = width + (x_width * 0.01)

            label_position = width + (x_width * 0.00)



        mono = {'family': 'monospace'}

        ax.text(label_position, rect.get_y(), labels[i], ha=align, va='bottom', rotation=0, color=color, fontdict=mono)
@@ -41,7 +48,8 @@ def _plot_regions(dataset): 
    correlations = list(map(lambda x: x['Slowdown'], relevant))

    ticks = list(map(lambda x: "<%s,%s>" % (x['Start'][:-2], x['End'][:-2]), relevant))

    fig, ax = plt.subplots()

    rects = ax.barh(x, correlations, align="center", tick_label="", color='#3babaf')

    #rects = ax.barh(x, correlations, align="center", tick_label="", color='#3babaf')

    rects = ax.barh(x, correlations, align="center", tick_label="")

    autolabel(rects, ax, ticks)



    plt.xlabel('Normalized slowdown')

xlap/analyse/latency.py

+14 −5
Original line number Diff line number Diff line
@@ -5,9 +5,15 @@ import numpy as np 
import sys

import graphviz





class LatencyAnalysis():

    def __init__(self, cfg=None, hdb=None):

        plt.rcParams['ps.useafm'] = True

        plt.rcParams['pdf.use14corefonts'] = True

        plt.rcParams['text.usetex'] = False

        plt.rcParams['font.family'] = 'sans-serif'

        #plt.rcParams['font.sans-serif'] = 'Latin Modern Sans'

        #plt.rcParams['font.monospace']  = 'FreeMono'



        self.cfg = cfg



        correlations = []
@@ -152,13 +158,15 @@ def autolabel(rects, ax, labels): 
        # If we can fit the label above the column, do that;

        # otherwise, put it inside the column.

        if p_width > 0.50:  # arbitrary; 95% looked good to me.

            label_position = width - (x_width) + 0.7

            #label_position = width - (x_width) + 0.7

            label_position = width - (x_width * 0.01)

            color = "white"

            align = "right"

        else:

            label_position = width + (x_width * 0.01)

            label_position = width + (x_width * 0.002)



        ax.text(label_position, rect.get_y(), labels[i], ha=align, va='bottom', rotation=0, color=color)

        mono = {'family': 'monospace'}

        ax.text(label_position, rect.get_y(), labels[i], ha=align, va='bottom', rotation=0, color=color, fontdict=mono)





def _plot_critical_regions(hdb):
@@ -169,11 +177,12 @@ def _plot_critical_regions(hdb): 
    x = np.arange(len(relevant))



    correlations = list(map(lambda x: x['Correlation'], relevant))

    ticks = list(map(lambda x: "%s-%s" % (x['Start'][:-2], x['End'][:-2]), relevant))

    ticks = list(map(lambda x: "<%s,%s>" % (x['Start'][:-2], x['End'][:-2]), relevant))

    fig, ax = plt.subplots()

    rects = ax.barh(x, correlations, align="center", tick_label="")

    autolabel(rects, ax, ticks)



    plt.xlabel('Latency criticality')

    plt.tight_layout()

    plt.savefig("latency-criticality.pdf")

    plt.close()