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#!/usr/bin/env python

"""

Generates the Matplotlib icon, and the toolbar icon images from the FontAwesome

font.

Generates SVG, PDF in one size (since they are vectors), and PNG in 24x24 and

48x48.

"""

from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter

from io import BytesIO

from pathlib import Path

import tarfile

import urllib.request

import matplotlib as mpl

import matplotlib.pyplot as plt

import numpy as np

plt.rcdefaults()

plt.rcParams['svg.fonttype'] = 'path'

plt.rcParams['pdf.fonttype'] = 3

plt.rcParams['pdf.compression'] = 9

def get_fontawesome():

cached_path = Path(mpl.get_cachedir(), "FontAwesome.otf")

if not cached_path.exists():

with urllib.request.urlopen(

"https://github.com/FortAwesome/Font-Awesome"

"/archive/v4.7.0.tar.gz") as req, \

tarfile.open(fileobj=BytesIO(req.read()), mode="r:gz") as tf:

cached_path.write_bytes(tf.extractfile(tf.getmember(

"Font-Awesome-4.7.0/fonts/FontAwesome.otf")).read())

return cached_path

def save_icon(fig, dest_dir, name, add_black_fg_color):

if add_black_fg_color:

# Add explicit black foreground color to monochromatic svg icons

# so it can be replaced by backends to add dark theme support

svg_bytes_io = BytesIO()

fig.savefig(svg_bytes_io, format='svg')

svg = svg_bytes_io.getvalue()

before, sep, after = svg.rpartition(b'\nz\n"')

svg = before + sep + b' style="fill:black;"' + after

(dest_dir / (name + '.svg')).write_bytes(svg)

else:

fig.savefig(dest_dir / (name + '.svg'))

fig.savefig(dest_dir / (name + '.pdf'))

for dpi, suffix in [(24, ''), (48, '_large')]:

fig.savefig(dest_dir / (name + suffix + '.png'), dpi=dpi)

def make_icon(font_path, ccode):

fig = plt.figure(figsize=(1, 1))

fig.patch.set_alpha(0.0)

fig.text(0.5, 0.48, chr(ccode), ha='center', va='center',

font=font_path, fontsize=68)

return fig

def make_matplotlib_icon():

fig = plt.figure(figsize=(1, 1))

fig.patch.set_alpha(0.0)

ax = fig.add_axes([0.025, 0.025, 0.95, 0.95], projection='polar')

ax.set_axisbelow(True)

N = 7

arc = 2 * np.pi

theta = np.arange(0, arc, arc / N)

radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])

width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])

bars = ax.bar(theta, radii, width=width, bottom=0.0, linewidth=1,

edgecolor='k')

for r, bar in zip(radii, bars):

bar.set_facecolor(mpl.cm.jet(r / 10))

ax.tick_params(labelleft=False, labelright=False,

labelbottom=False, labeltop=False)

ax.grid(lw=0.0)

ax.set_yticks(np.arange(1, 9, 2))

ax.set_rmax(9)

return fig

icon_defs = [

('home', 0xf015),

('back', 0xf060),

('forward', 0xf061),

('zoom_to_rect', 0xf002),

('move', 0xf047),

('filesave', 0xf0c7),

('subplots', 0xf1de),

('qt4_editor_options', 0xf201),

('help', 0xf128),

]

def make_icons():

parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter)

parser.add_argument(

"-d", "--dest-dir",

type=Path,

default=Path(__file__).parent / "../lib/matplotlib/mpl-data/images",

help="Directory where to store the images.")

args = parser.parse_args()

font_path = get_fontawesome()

for name, ccode in icon_defs:

fig = make_icon(font_path, ccode)

save_icon(fig, args.dest_dir, name, True)

fig = make_matplotlib_icon()

save_icon(fig, args.dest_dir, 'matplotlib', False)

if __name__ == "__main__":

make_icons()

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