Remove unused python scripts

2 files changed, 0 insertions, 246 deletions

diff --git a/utils/img2js.py b/utils/img2js.py
deleted file mode 100755
index ceab6bf..0000000
--- a/utils/img2js.py
+++ /dev/null
@@ -1,40 +0,0 @@
-#!/usr/bin/env python
-
-#
-# Convert image to Javascript compatible base64 Data URI
-# Copyright (C) 2018 The noVNC Authors
-# Licensed under MPL 2.0 (see docs/LICENSE.MPL-2.0)
-#
-
-import sys, base64
-
-try:
-    from PIL import Image
-except:
-    print "python PIL module required (python-imaging package)"
-    sys.exit(1)
-
-
-if len(sys.argv) < 3:
-    print "Usage: %s IMAGE JS_VARIABLE" % sys.argv[0]
-    sys.exit(1)
-
-fname = sys.argv[1]
-var   = sys.argv[2]
-
-ext = fname.lower().split('.')[-1]
-if   ext == "png":            mime = "image/png"
-elif ext in ["jpg", "jpeg"]:  mime = "image/jpeg"
-elif ext == "gif":            mime = "image/gif"
-else:
-    print "Only PNG, JPEG and GIF images are supported"
-    sys.exit(1)
-uri = "data:%s;base64," % mime
-
-im = Image.open(fname)
-w, h = im.size
-
-raw = open(fname).read()
-
-print '%s = {"width": %s, "height": %s, "data": "%s%s"};' % (
-        var, w, h, uri, base64.b64encode(raw))
diff --git a/utils/json2graph.py b/utils/json2graph.py
deleted file mode 100755
index bdaeecc..0000000
--- a/utils/json2graph.py
+++ /dev/null
@@ -1,206 +0,0 @@
-#!/usr/bin/env python
-
-'''
-Use matplotlib to generate performance charts
-Copyright (C) 2018 The noVNC Authors
-Licensed under MPL-2.0 (see docs/LICENSE.MPL-2.0)
-'''
-
-# a bar plot with errorbars
-import sys, json
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.font_manager import FontProperties
-
-def usage():
-    print "%s json_file level1 level2 level3 [legend_height]\n\n" % sys.argv[0]
-    print "Description:\n"
-    print "level1, level2, and level3 are one each of the following:\n";
-    print "  select=ITEM - select only ITEM at this level";
-    print "  bar         - each item on this level becomes a graph bar";
-    print "  group       - items on this level become groups of bars";
-    print "\n";
-    print "json_file is a file containing json data in the following format:\n"
-    print '  {';
-    print '    "conf": {';
-    print '      "order_l1": [';
-    print '        "level1_label1",';
-    print '        "level1_label2",';
-    print '        ...';
-    print '      ],';
-    print '      "order_l2": [';
-    print '        "level2_label1",';
-    print '        "level2_label2",';
-    print '        ...';
-    print '      ],';
-    print '      "order_l3": [';
-    print '        "level3_label1",';
-    print '        "level3_label2",';
-    print '        ...';
-    print '      ]';
-    print '    },';
-    print '    "stats": {';
-    print '      "level1_label1": {';
-    print '        "level2_label1": {';
-    print '          "level3_label1": [val1, val2, val3],';
-    print '          "level3_label2": [val1, val2, val3],';
-    print '          ...';
-    print '        },';
-    print '        "level2_label2": {';
-    print '        ...';
-    print '        },';
-    print '      },';
-    print '      "level1_label2": {';
-    print '        ...';
-    print '      },';
-    print '      ...';
-    print '    },';
-    print '  }';
-    sys.exit(2)
-
-def error(msg):
-    print msg
-    sys.exit(1)
-
-
-#colors = ['#ff0000', '#0863e9', '#00f200', '#ffa100',
-#          '#800000', '#805100', '#013075', '#007900']
-colors = ['#ff0000', '#00ff00', '#0000ff',
-          '#dddd00', '#dd00dd', '#00dddd',
-          '#dd6622', '#dd2266', '#66dd22',
-          '#8844dd', '#44dd88', '#4488dd']
-
-if len(sys.argv) < 5:
-    usage()
-
-filename = sys.argv[1]
-L1 = sys.argv[2]
-L2 = sys.argv[3]
-L3 = sys.argv[4]
-if len(sys.argv) > 5:
-    legendHeight = float(sys.argv[5])
-else:
-    legendHeight = 0.75
-
-# Load the JSON data from the file
-data = json.loads(file(filename).read())
-conf = data['conf']
-stats = data['stats']
-
-# Sanity check data hierarchy
-if len(conf['order_l1']) != len(stats.keys()):
-    error("conf.order_l1 does not match stats level 1")
-for l1 in stats.keys():
-    if len(conf['order_l2']) != len(stats[l1].keys()):
-        error("conf.order_l2 does not match stats level 2 for %s" % l1)
-    if conf['order_l1'].count(l1) < 1:
-        error("%s not found in conf.order_l1" % l1)
-    for l2 in stats[l1].keys():
-        if len(conf['order_l3']) != len(stats[l1][l2].keys()):
-            error("conf.order_l3 does not match stats level 3")
-        if conf['order_l2'].count(l2) < 1:
-            error("%s not found in conf.order_l2" % l2)
-        for l3 in stats[l1][l2].keys():
-            if conf['order_l3'].count(l3) < 1:
-                error("%s not found in conf.order_l3" % l3)
-
-#
-# Generate the data based on the level specifications
-#
-bar_labels = None
-group_labels = None
-bar_vals = []
-bar_sdvs = []
-if L3.startswith("select="):
-    select_label = l3 = L3.split("=")[1]
-    bar_labels = conf['order_l1']
-    group_labels = conf['order_l2']
-    bar_vals = [[0]*len(group_labels) for i in bar_labels]
-    bar_sdvs = [[0]*len(group_labels) for i in bar_labels]
-    for b in range(len(bar_labels)):
-        l1 = bar_labels[b]
-        for g in range(len(group_labels)):
-            l2 = group_labels[g]
-            bar_vals[b][g] = np.mean(stats[l1][l2][l3])
-            bar_sdvs[b][g] = np.std(stats[l1][l2][l3])
-elif L2.startswith("select="):
-    select_label = l2 = L2.split("=")[1]
-    bar_labels = conf['order_l1']
-    group_labels = conf['order_l3']
-    bar_vals = [[0]*len(group_labels) for i in bar_labels]
-    bar_sdvs = [[0]*len(group_labels) for i in bar_labels]
-    for b in range(len(bar_labels)):
-        l1 = bar_labels[b]
-        for g in range(len(group_labels)):
-            l3 = group_labels[g]
-            bar_vals[b][g] = np.mean(stats[l1][l2][l3])
-            bar_sdvs[b][g] = np.std(stats[l1][l2][l3])
-elif L1.startswith("select="):
-    select_label = l1 = L1.split("=")[1]
-    bar_labels = conf['order_l2']
-    group_labels = conf['order_l3']
-    bar_vals = [[0]*len(group_labels) for i in bar_labels]
-    bar_sdvs = [[0]*len(group_labels) for i in bar_labels]
-    for b in range(len(bar_labels)):
-        l2 = bar_labels[b]
-        for g in range(len(group_labels)):
-            l3 = group_labels[g]
-            bar_vals[b][g] = np.mean(stats[l1][l2][l3])
-            bar_sdvs[b][g] = np.std(stats[l1][l2][l3])
-else:
-    usage()
-
-# If group is before bar then flip (zip) the data
-if [L1, L2, L3].index("group") < [L1, L2, L3].index("bar"):
-    bar_labels, group_labels = group_labels, bar_labels
-    bar_vals = zip(*bar_vals)
-    bar_sdvs = zip(*bar_sdvs)
-
-print "bar_vals:", bar_vals
-
-#
-# Now render the bar graph
-#
-ind = np.arange(len(group_labels))  # the x locations for the groups
-width = 0.8 * (1.0/len(bar_labels)) # the width of the bars
-
-fig = plt.figure(figsize=(10,6), dpi=80)
-plot = fig.add_subplot(1, 1, 1)
-
-rects = []
-for i in range(len(bar_vals)):
-    rects.append(plot.bar(ind+width*i, bar_vals[i], width, color=colors[i],
-                          yerr=bar_sdvs[i], align='center'))
-
-# add some
-plot.set_ylabel('Milliseconds (less is better)')
-plot.set_title("Javascript array test: %s" % select_label)
-plot.set_xticks(ind+width)
-plot.set_xticklabels( group_labels )
-
-fontP = FontProperties()
-fontP.set_size('small')
-plot.legend( [r[0] for r in rects], bar_labels, prop=fontP,
-            loc = 'center right', bbox_to_anchor = (1.0, legendHeight))
-
-def autolabel(rects):
-    # attach some text labels
-    for rect in rects:
-        height = rect.get_height()
-        if np.isnan(height):
-            height = 0.0
-        plot.text(rect.get_x()+rect.get_width()/2., height+20, '%d'%int(height),
-                ha='center', va='bottom', size='7')
-
-for rect in rects:
-    autolabel(rect)
-
-# Adjust axis sizes
-axis = list(plot.axis())
-axis[0] = -width          # Make sure left side has enough for bar
-#axis[1] = axis[1] * 1.20  # Add 20% to the right to make sure it fits
-axis[2] = 0               # Make y-axis start at 0
-axis[3] = axis[3] * 1.10  # Add 10% to the top
-plot.axis(axis)
-
-plt.show()