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How to use add_labels method in autotest

Best Python code snippet using autotest_python

label_commands.py

Source:label_commands.py

1#!/usr/bin/env python2def get_label_command_facts(issuewrapper, meta, module_indexer, core_team=[], valid_labels=[]):3    iw = issuewrapper4    add_labels = []5    del_labels = []6    namespace_labels = [7        u'aci',8        u'avi',9        u'aws',10        u'azure',11        u'cloud',12        u'cloudstack',13        u'digital_ocean',14        u'docker',15        u'f5',16        u'gce',17        u'infoblox',18        u'jboss',19        u'meraki',20        u'netapp',21        u'networking',22        u'nxos',23        u'openstack',24        u'ovirt',25        u'ucs',26        u'vmware',27        u'windows',28    ]29    whitelist = [30        u'docsite_pr',31        u'easyfix',32        u'module',33        u'needs_triage',34        u'needs_verified',35        u'test',36    ]37    whitelist += namespace_labels38    whitelist += [x for x in valid_labels if x.startswith(u'affects_')]39    whitelist += [x for x in valid_labels if x.startswith(u'c:')]40    whitelist += [x for x in valid_labels if x.startswith(u'm:')]41    iw = issuewrapper42    maintainers = [x for x in core_team]43    maintainers += module_indexer.all_maintainers44    maintainers = sorted(set(maintainers))45    # iterate through the description and comments and look for label commands46    for ev in iw.history.history:47        if ev[u'actor'] in maintainers and ev[u'event'] == u'commented':48            if u'+label' in ev[u'body'] or u'-label' in ev[u'body']:49                for line in ev[u'body'].split(u'\n'):50                    if u'label' not in line:51                        continue52                    words = line.split()53                    # https://github.com/ansible/ansibullbot/issues/128454                    if len(words) < 2:55                        continue56                    label = words[1]57                    if label not in whitelist:58                        continue59                    action = words[0]60                    if action == u'+label':61                        add_labels.append(label)62                        if label in del_labels:63                            del_labels.remove(label)64                    elif action == u'-label':65                        del_labels.append(label)66                        if label in add_labels:67                            add_labels.remove(label)68    # prevent waffling on label actions69    #   https://github.com/ansible/ansibullbot/issues/67270    managed = sorted(set(add_labels + del_labels))71    for ml in managed:72        if iw.history.label_is_waffling(ml, limit=5):73            if ml in add_labels:74                add_labels.remove(ml)75            if ml in del_labels:76                del_labels.remove(ml)77    fact = {78        u'label_cmds': {79            u'add': add_labels,80            u'del': del_labels81        }82    }83    return fact84def get_waffling_overrides(issuewrapper, meta, module_indexer, core_team=[], valid_labels=[]):85    iw = issuewrapper86    overrides = []87    iw = issuewrapper88    maintainers = [x for x in core_team]89    maintainers += module_indexer.all_maintainers90    maintainers = sorted(set(maintainers))91    for ev in iw.history.history:92        if ev[u'actor'] in maintainers and ev[u'event'] == u'commented':93            if u'!waffling' in ev.get(u'body', u''):94                lines = ev[u'body'].split(u'\n')95                for line in lines:96                    if line.strip().startswith(u'!waffling'):97                        line = line.strip()98                        parts = line.strip().split()99                        thislabel = parts[1].strip()100                        if thislabel not in overrides:101                            overrides.append(thislabel)102    fact = {103        u'label_waffling_overrides': overrides104    }...

viz.py

Source:viz.py

1"""Functions to visualize human poses"""2import matplotlib.pyplot as plt3import data_utils4import numpy as np5import h5py6import os7from mpl_toolkits.mplot3d import Axes3D8def show3Dpose(channels, ax, lcolor="#3498db", rcolor="#e74c3c", add_labels=False): # blue, orange9  """10  Visualize a 3d skeleton11  Args12    channels: 96x1 vector. The pose to plot.13    ax: matplotlib 3d axis to draw on14    lcolor: color for left part of the body15    rcolor: color for right part of the body16    add_labels: whether to add coordinate labels17  Returns18    Nothing. Draws on ax.19  """20  assert channels.size == len(data_utils.H36M_NAMES)*3, "channels should have 96 entries, it has %d instead" % channels.size21  vals = np.reshape( channels, (len(data_utils.H36M_NAMES), -1) )22  I   = np.array([1,2,3,1,7,8,1, 13,14,15,14,18,19,14,26,27])-1 # start points23  J   = np.array([2,3,4,7,8,9,13,14,15,16,18,19,20,26,27,28])-1 # end points24  LR  = np.array([1,1,1,0,0,0,0, 0, 0, 0, 0, 0, 0, 1, 1, 1], dtype=bool)25  # Make connection matrix26  for i in np.arange( len(I) ):27    x, y, z = [np.array( [vals[I[i], j], vals[J[i], j]] ) for j in range(3)]28    #print (x, y, z)29    ax.plot(x, y, z, marker='o', markersize=2, lw=1, c=lcolor if LR[i] else rcolor)30  RADIUS = 750 # space around the subject31  xroot, yroot, zroot = vals[0,0], vals[0,1], vals[0,2]32  ax.set_xlim3d([-RADIUS+xroot, RADIUS+xroot])33  ax.set_zlim3d([-RADIUS+zroot, RADIUS+zroot])34  ax.set_ylim3d([-RADIUS+yroot, RADIUS+yroot])35  if add_labels:36    ax.set_xlabel("x")37    ax.set_ylabel("y")38    ax.set_zlabel("z")39  # Get rid of the ticks and tick labels40  ax.set_xticks([])41  ax.set_yticks([])42  ax.set_zticks([])43  ax.get_xaxis().set_ticklabels([])44  ax.get_yaxis().set_ticklabels([])45  ax.set_zticklabels([])46  ax.set_aspect('equal')47  # Get rid of the panes (actually, make them white)48  white = (1.0, 1.0, 0.1, 0.0)49  ax.w_xaxis.set_pane_color(white)50  ax.w_yaxis.set_pane_color(white)51  # Keep z pane52  # Get rid of the lines in 3d53  ax.w_xaxis.line.set_color(white)54  ax.w_yaxis.line.set_color(white)55  ax.w_zaxis.line.set_color(white)56  57def show2Dpose(channels, ax, lcolor="#3498db", rcolor="#e74c3c", add_labels=False):58  """59  Visualize a 2d skeleton60  Args61    channels: 64x1 vector. The pose to plot.62    ax: matplotlib axis to draw on63    lcolor: color for left part of the body64    rcolor: color for right part of the body65    add_labels: whether to add coordinate labels66  Returns67    Nothing. Draws on ax.68  """69  assert channels.size == len(data_utils.H36M_NAMES)*2, "channels should have 64 entries, it has %d instead" % channels.size70  vals = np.reshape( channels, (len(data_utils.H36M_NAMES), -1) )71  I  = np.array([1,2,3,1,7,8,1, 13,14,14,18,19,14,26,27])-1 # start points72  J  = np.array([2,3,4,7,8,9,13,14,16,18,19,20,26,27,28])-1 # end points73  LR = np.array([1,1,1,0,0,0,0, 0, 0, 0, 0, 0, 1, 1, 1], dtype=bool)74  # Make connection matrix75  for i in np.arange( len(I) ):76    x, y = [np.array( [vals[I[i], j], vals[J[i], j]] ) for j in range(2)]77    ax.plot(x, y, lw=2, c=lcolor if LR[i] else rcolor)78  # Get rid of the ticks79  ax.set_xticks([])80  ax.set_yticks([])81  # Get rid of tick labels82  ax.get_xaxis().set_ticklabels([])83  ax.get_yaxis().set_ticklabels([])84  RADIUS = 350 # space around the subject85  xroot, yroot = vals[0,0], vals[0,1]86  ax.set_xlim([-RADIUS+xroot, RADIUS+xroot])87  ax.set_ylim([-RADIUS+yroot, RADIUS+yroot])88  if add_labels:89    ax.set_xlabel("x")90    ax.set_ylabel("z")...

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