def plot_dist_lengths(lengths, length_limit, x_step, max_x, y_step, max_y, outimg):
"""
Plot a length distribution over sentences
Inputs:
- lengths: list of numerical lenghts
- length_limit: maximum allowed length
- x_step: step in the horizontal axis
- max_x: maximum value in the horizontal axis
- y_step: step in the vertical axis
- max_y: maximum value in the vertical axis
- outimg: output image
"""
# count number of occurrences for each length value
c = Counter(lengths)
max_val = min(max_x, max(max_x, max(c.keys())))
# output in svg format
xdata = list(range(1, max_val + x_step + 1))
ydata_used = [c[k] if k in c and k <= length_limit else 0 for k in xdata]
ydata_unused = [c[k] if k in c and k > length_limit else 0 for k in xdata]
line_chart = pygal.StackedBar(width=1300, height=800, x_label_rotation=-45,
x_title='Number of words', y_title='Number of sentences',
show_minor_x_labels=False)
line_chart.x_labels = xdata
line_chart.x_labels_major = list(set([x // x_step * x_step for x in xdata]))
line_chart.y_labels = range(0, max_y + 1, y_step)
line_chart.add('Truncated data', ydata_unused)
line_chart.add('Unchanged data', ydata_used)
# circumvent potential svg styling problems
line_chart.render_to_file(outimg)
cairosvg.svg2svg(url=outimg, write_to=outimg)
def fix_file(file):
try: # acommodating for all of the broken symlinks
fileobject = open(file, "r+")
fileobject.close()
except FileNotFoundError:
return None
else:
try:
svg2svg(url=file)
except:
fileobject = open(file, 'r')
filedsmnld = fileobject.readlines()
fileobject.close()
filedsmnld = ''.join(filedsmnld)
filedsmnld = splitter(filedsmnld, [" ", "\n"])
newfile = open(file, "w")
in_svgtag = False
for i in range(len(filedsmnld)):
if filedsmnld[i] == "<svg":
in_svgtag = True
if filedsmnld[i][-1] == '>' and in_svgtag:
filedsmnld.insert(
i,
'xmlns:osb="http://www.openswatchbook.org/uri/2009/osb" '
)
break # just in case
filedsmnld = ''.join(filedsmnld)
newfile.write(filedsmnld)
newfile.close()
def main():
create_output_dir(svg_target_dir)
for dirpath, dirnames, filenames in os.walk(svg_source_dir):
target_dir = os.path.join(svg_target_dir,
os.path.relpath(dirpath, svg_source_dir))
if not os.path.isdir(target_dir):
os.mkdir(target_dir)
for image in filenames:
print(f'Processing {image}')
cairosvg.svg2svg(url=os.path.join(dirpath, image),
write_to=os.path.join(target_dir, image),
scale=5)
print('Images resized')
def convert_chart_svg(self, request: Request):
vert_bar_chart_max_label = int(
request.args.get('vertBarChartMaxLabel', '10'))
chart_type = request.args.get('chartType')
if chart_type in ('bar', 'time', 'timescatter'):
svg_src = normalize_bar_chart_svg(request.get_data(),
vert_bar_chart_max_label)
else:
svg_src = normalize_wcloud_svg(request.get_data())
if request.args.get('outFormat', '') == 'png':
self._response.set_header('Content-Type', 'image/png')
return svg2png(bytestring=svg_src,
output_width=1200,
background_color='#FFFFFF')
elif request.args.get('outFormat', '') == 'png-print':
self._response.set_header('Content-Type', 'image/png')
return svg2png(bytestring=svg_src,
output_width=4961,
background_color='#FFFFFF')
elif request.args.get('outFormat', '') == 'svg':
self._response.set_header('Content-Type', 'image/svg+xml')
return svg2svg(bytestring=svg_src,
scale=5,
background_color='#FFFFFF')
elif request.args.get('outFormat', '') == 'pdf':
self._response.set_header('Content-Type', 'application/pdf')
return svg2pdf(bytestring=svg_src,
scale=5,
background_color='#FFFFFF')
else:
raise UserActionException('Invalid data format', code=422)
def save_all(request):
if not request.POST and not request.is_ajax:
return HttpResponseRedirect(reverse(index))
in_memory = StringIO()
zip = ZipFile(in_memory, "a")
for name in request.POST:
if name == 'csrfmiddlewaretoken':
continue
try:
svg_data = request.POST[name]
zip.writestr("%s.svg" % (name), cairosvg.svg2svg(svg_data))
zip.writestr("%s.png" % (name), cairosvg.svg2png(svg_data))
except:
print name + " broke while running"
pass
# fix for Linux zip files read in Windows (I dont know what this actually does)
for file in zip.filelist:
file.create_system = 0
zip.close()
response = HttpResponse(mimetype="application/zip")
response["Content-Disposition"] = "attachment; filename=charts.zip"
in_memory.seek(0)
response.write(in_memory.read())
return response
def __load_svg(filename, _width):
_svg = cairosvg.svg2svg(
url=filename,
dpi=(96 / (_width / 64)
)) # Convert svg to svg changing DPI to resize the image
_bytes = cairosvg.svg2png(_svg)
byte_io = io.BytesIO(_bytes)
return pygame.image.load(byte_io)
def plot_dist_tags(sents, vocab, outimg, outfile, padwords=[]):
"""
Plot the amount of IV and OOV words per tag in a dataset
Inputs:
- sents: list of sentences represented as a list of (word, tag, sym) items
- vocab: set containing words in the vocabulary
- outimg: output image
- outfile: output text file
- padwords: set of words to be ignored
"""
# compute the number of IV and OOV words per tag
count = {}
for sent in sents:
if sent:
for word, tag, sym in sent:
if word not in padwords:
if tag not in count:
count[tag] = [0,0]
count[tag][0] += 1
if sym not in vocab:
count[tag][1] += 1
# output in svg format
xdata = sorted(count.keys(), key=lambda x: count[x][0], reverse=True)
ydata_oov = list([count[x][1] for x in xdata])
ydata_rest = list([count[x][0] - count[x][1] for x in xdata])
line_chart = pygal.StackedBar(width=1300, height=800, x_label_rotation=-45,
y_title='Number of words')
line_chart.x_labels = xdata
line_chart.add('OOVs', ydata_oov)
line_chart.add('IVs + OOVs', ydata_rest)
# circumvent potential svg styling problems
line_chart.render_to_file(outimg)
cairosvg.svg2svg(url=outimg, write_to=outimg)
# output in text format
with open(outfile, 'w') as tfile:
tfile.write("tag\t#OOVs\t#IVs\t#words\tratio\n")
for i in range(len(xdata)):
tfile.write(str(xdata[i]) + '\t')
tfile.write(str(ydata_oov[i]) + '\t')
tfile.write(str(ydata_rest[i]) + '\t')
tfile.write(str(ydata_oov[i] + ydata_rest[i]) + '\t')
tfile.write(str(ydata_oov[i] / (ydata_oov[i] + ydata_rest[i])) + '\n')
def plot_accuracy(history, keys, labels, test_acc, outimg, outfile):
"""
Plot the obtained accuracy scores against training epochs
Inputs:
- history: object obtained from calling Keras fit() function
- keys: key values to access the metrics in history
- labels: names of the metrics which match `keys`
- test_acc: accuracy obtained on the test set
- outimg: output image
- outfile: output text file
"""
# build chart
hist = pd.DataFrame(history.history)
chart = pygal.Line(width=1300, height=800, x_label_rotation=0,
x_title='Number of training epochs', y_title='Sem-tagging accuracy')
xdata = [x + 1 for x in range(len(hist[keys[0]]))]
chart.x_labels = xdata
# plot all metrics
for i in range(len(keys)):
key = keys[i]
label = labels[i]
chart.add(label, hist[key], show_dots=False,
stroke_style={'width': 4, 'dasharray': '3, 8', 'linecap': 'round', 'linejoin': 'round'})
# plot a horizontal line representing accuracy on the test set
if test_acc > 0:
ytest=[test_acc] * len(xdata)
chart.add(None, ytest, show_dots=False, stroke_style={'width': 2})
# output in svg format
chart.render_to_file(outimg)
cairosvg.svg2svg(url=outimg, write_to=outimg)
# output in text format
with open(outfile, 'w') as tfile:
header = str(keys[0]) + ''.join(["\t" + str(key) for key in keys[1:]])
tfile.write(header + '\n')
for i in range(len(hist[keys[0]])):
tfile.write(str(hist[keys[0]][i]))
for key in keys[1:]:
tfile.write("\t" + str(hist[key][i]))
tfile.write("\n")
def saveImage(self, session_id, query_str, output_format, data):
"""
Serve image files for download.
"""
filename = ".".join((query_str, output_format))
filepath = os.path.join(cherrypy.session.storage_path, session_id, filename)
if os.path.exists(filepath): os.remove(filepath)
data = data.encode('utf8', 'replace')
with open(filepath, 'w') as fout: # write image file
if output_format == 'svg':
cairosvg.svg2svg(bytestring=data, write_to=fout)
elif output_format == 'png':
cairosvg.svg2png(bytestring=data, write_to=fout)
elif output_format == 'pdf':
cairosvg.svg2pdf(bytestring=data, write_to=fout)
else:
pass
return serve_file(filepath, 'application/x-download', 'attachment')
def route_save_image():
image_format = flask.request.form['format']
svg = flask.request.form['svg']
if image_format == 'pdf':
data = cairosvg.svg2pdf(bytestring=svg)
mimetype = 'application/pdf'
elif image_format == 'png':
data = cairosvg.svg2png(bytestring=svg)
mimetype = 'image/png'
elif image_format == 'ps':
data = cairosvg.svg2ps(bytestring=svg)
mimetype = 'application/postscript'
elif image_format == 'svg':
data = cairosvg.svg2svg(bytestring=svg)
mimetype = 'image/svg+xml'
elif image_format == 'raw-svg':
data = svg
mimetype = 'image/svg+xml'
else:
flask.abort(400)
return flask.Response(data, mimetype=mimetype)
def panel(request):
if len(request.POST) == 0:
return redirect(prog_type+'/HitWalker2/')
elif request.POST.has_key("output_format") and request.POST.has_key("data"):
try:
import cairosvg
#and all the somewhat invisible dependencies needed to use external css styling on the svgs...
import lxml
import tinycss
import cssselect
if request.POST["plot_type"] == 'svg':
use_svg = '<?xml-stylesheet type="text/css" href="' + request.session['new_css_path'] + '" ?>' + request.POST["data"]
else:
if request.POST['panel_context'] == 'image':
width = str(config.pathway_sizes['w'] + config.pathway_sizes['legend_offset'])
height = str(config.pathway_sizes['h'])
transl = 'translate('+str(config.pathway_sizes['legend_offset'])+',0)'
elif request.POST['panel_context'] == 'panel':
if request.POST["plot_type"] == 'g1':
width=str(config.network_sizes['w']+config.network_sizes['legend_offset'])
transl = 'translate('+str(config.pathway_sizes['legend_offset'])+',0)'
elif request.POST["plot_type"] == 'siRNA_plot':
width=str((config.network_sizes['w']*2)+50)
transl='translate(50,0)'
else:
raise Exception('Unknown plot_type')
height = str(config.network_sizes['h'])
else:
raise Exception('Unknown value for panel_context')
use_data = '<svg xmlns="http://www.w3.org/2000/svg" width="'+width+'" height="'+height+'" >' + request.POST["data"].replace('xmlns="http://www.w3.org/2000/svg"', "") + '</svg>'
import xml.etree.ElementTree as ET
tree = ET.fromstring(use_data)
#ensure everything will fit on screen
#assuming only one non-legend g for now
tree.find("./*[@class=\'"+request.POST["plot_type"]+"\']").attrib['transform'] = transl
sub_tree = tree.find(".//*[@class='BorderRect BorderSelected']/..")
if sub_tree != None:
tree.find(".//*[@class='BorderRect BorderSelected']/..").remove(tree.find(".//*[@class='BorderRect BorderSelected']"))
use_svg = '<?xml-stylesheet type="text/css" href="' + request.session['new_css_path'] + '" ?>' + ET.tostring(tree)
temp_file = tempfile.mktemp()
#temp_file = '/Users/bottomly/Desktop/test_image.xml'
temp_inp = open(temp_file, "w")
temp_inp.write(use_svg)
temp_inp.close()
if request.POST["output_format"] == "svg":
response = HttpResponse(cairosvg.svg2svg(url=temp_file), content_type='image/svg+xml')
response['Content-Disposition'] = 'attachment; filename="HitWalker2.svg"'
elif request.POST["output_format"] == "pdf":
response = HttpResponse(cairosvg.svg2pdf(url=temp_file), content_type='application/pdf')
response['Content-Disposition'] = 'attachment; filename="HitWalker2.pdf"'
return response
except ImportError, e:
raise e
response = HttpResponse('<?xml-stylesheet type="text/css" ?>' + request.POST["data"], content_type='image/svg+xml')
response['Content-Disposition'] = 'attachment; filename="HitWalker2.svg"'
return response
def convert_svg(svg, file):
if file == 'png':
svg2png(bytestring=svg, write_to='badge.png')
else:
svg2svg(bytestring=svg, write_to='badge.svg')
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import cairosvg
# import source svg at 20x20px original size
appIcon = cairosvg.svg2svg(bytestring=open("AppIcon.svg").read().encode('utf-8'))
icon_dir = "Images.xcassets/AppIcon.appiconset/"
# convert for 20x20
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"AppIcon20x20~ipad.png")
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"AppIcon20x20@2x~ipad.png", scale=2)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"*****@*****.**", scale=2)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"*****@*****.**", scale=3)
# convert for 29x29
appIcon = cairosvg.svg2svg(bytestring=appIcon, scale=1.45)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"*****@*****.**", scale=2)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"*****@*****.**", scale=3)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"AppIcon29x29~ipad.png")
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"AppIcon29x29@2x~ipad.png", scale=2)
# convert for 40x40
appIcon = cairosvg.svg2svg(bytestring=appIcon, scale=1.38)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"*****@*****.**", scale=2)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"*****@*****.**", scale=3)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"AppIcon40x40~ipad.png")
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"AppIcon40x40@2x~ipad.png", scale=2)
# convert for 60x60
appIcon = cairosvg.svg2svg(bytestring=appIcon, scale=1.5)
def save(self, fp, **params):
tree = etree.parse(self.template_path)
d = self.data
with open(d['recipient_image'], 'rb') as recipient_image:
image_data = recipient_image.read()
image_mime_type = magic.from_buffer(image_data, mime=True)
image_base_64 = base64.b64encode(image_data)
el_image = tree.xpath(self.el_selectors['recipient_image'],
namespaces=NSMAP)[0]
el_image.attrib[
'{http://www.w3.org/1999/xlink}href'] = 'data:{};base64,{}'.format(
image_mime_type, image_base_64.decode('utf-8'))
recipient_name_parts = d['recipient_name'].split()
if len(recipient_name_parts) > 3:
recipient_name_part_1 = ' '.join(recipient_name_parts[:3])
recipient_name_part_2 = ' '.join(recipient_name_parts[3:])
else:
recipient_name_part_1, recipient_name_part_2 = name, ''
el_r_name_part_1 = tree.xpath(
self.el_selectors['recipient_name_part_1'], namespaces=NSMAP)[0]
el_r_name_part_1.text = recipient_name_part_1.upper()
el_r_name_part_2 = tree.xpath(
self.el_selectors['recipient_name_part_2'], namespaces=NSMAP)[0]
el_r_name_part_2.text = recipient_name_part_2.upper()
el_r_blood_type = tree.xpath(self.el_selectors['recipient_image'],
namespaces=NSMAP)[0]
el_r_blood_type.text = self.data['recipient_blood_type'].upper()
el_l_name = tree.xpath(self.el_selectors['location_name'],
namespaces=NSMAP)[0]
el_l_name.text = self.data['location_name'].upper()
el_l_address_part_1 = tree.xpath(
self.el_selectors['location_address_part_1'], namespaces=NSMAP)[0]
el_l_address_part_1.text = '{}, {}'.format(
self.data['location_address_street'].upper(),
self.data['location_address_number'].upper())
el_l_address_part_2 = tree.xpath(
self.el_selectors['location_address_part_2'], namespaces=NSMAP)[0]
el_l_address_part_2.text = '{}, {} - {}, {}'.format(
self.data['location_address_district'].upper(),
self.data['location_address_locality'].upper(),
self.data['location_address_region'].upper(),
self.data['location_address_postal_code'].upper(),
)
file_format = fp.rpartition('.')[-1].lower()
if file_format == 'png':
cairosvg.svg2png(bytestring=etree.tostring(tree), write_to=fp)
if file_format == 'pdf':
cairosvg.svg2pdf(bytestring=etree.tostring(tree), write_to=fp)
if file_format == 'ps':
cairosvg.svg2ps(bytestring=etree.tostring(tree), write_to=fp)
if file_format == 'svg':
cairosvg.svg2svg(bytestring=etree.tostring(tree), write_to=fp)
_d = d.copy()
(_d.pop(k) for k in 'recipient_name recipient_image'.split())
logger.info({
'type': 'banner_generated',
'data': {
'donation': _d,
'_meta': {
'file_format': file_format,
}
},
})
return True
error_message = '''
"{}" is invalid file extension! The supported extension is "png". "pdf", "ps" and "svg".
'''
raise ValueError(error_message.format(fp))
)
else:
fileName = sys.argv[1]
buffer = readWillProtobuff(fileName + '.will')
for i, n in zip(buffer, range(99)):
print(n)
(xData, yData, lineData) = processBuffer(i)
plotXYLineData(xData, yData, lineData)
svgStr = XYLineDataToSVG(xData, yData, lineData)
datei_name = fileName + '_' + str(n).zfill(2) + '.svg'
svg2svg(bytestring=svgStr, write_to=datei_name)
run(['svgtoipe', datei_name], shell=False)
# with open(fileName +'_'+str(n).zfill(2)+ '.svg','wt') as f:
# f.write(svgStr)
# buffer = readWillProtobuff(fileName + '.will')
#
#
# (xData, yData, lineData) = processBuffer(buffer)
#
#
# plotXYLineData(xData, yData, lineData)
#
# svgStr = XYLineDataToSVG(xData, yData, lineData)
#
def save(self, uri_dest, **kargs):
tree = etree.parse(self.template_path)
d = self.data
with open(d['recipient_image'], 'rb') as recipient_image:
image_data = recipient_image.read()
image_mime_type = magic.from_buffer(image_data, mime=True)
image_base_64 = base64.b64encode(image_data)
el_image = tree.xpath(self.el_selectors['recipient_image'],
namespaces=NSMAP)[0]
el_image.attrib[
'{http://www.w3.org/1999/xlink}href'] = 'data:{};base64,{}'.format(
image_mime_type, image_base_64.decode('utf-8'))
recipient_name_parts = d['recipient_name'].split()
if len(recipient_name_parts) > 3:
recipient_name_part_1 = ' '.join(recipient_name_parts[:3])
recipient_name_part_2 = ' '.join(recipient_name_parts[3:])
else:
recipient_name_part_1, recipient_name_part_2 = ' '.join(
recipient_name_parts), ''
el_r_name_part_1 = tree.xpath(
self.el_selectors['recipient_name_part_1'], namespaces=NSMAP)[0]
el_r_name_part_1.text = recipient_name_part_1.upper()
el_r_name_part_2 = tree.xpath(
self.el_selectors['recipient_name_part_2'], namespaces=NSMAP)[0]
el_r_name_part_2.text = recipient_name_part_2.upper()
el_r_blood_type = tree.xpath(self.el_selectors['recipient_bloodtype'],
namespaces=NSMAP)[0]
el_r_blood_type.text = self.data['recipient_bloodtype'].upper()
el_l_name = tree.xpath(self.el_selectors['location_name'],
namespaces=NSMAP)[0]
el_l_name.text = self.data['location_name'].upper()
el_l_address_part_1 = tree.xpath(
self.el_selectors['location_address_part_1'], namespaces=NSMAP)[0]
el_l_address_part_1.text = '{}, {}'.format(
self.data['location_address_street'].upper(),
self.data['location_address_number'].upper())
el_l_address_part_2 = tree.xpath(
self.el_selectors['location_address_part_2'], namespaces=NSMAP)[0]
el_l_address_part_2.text = '{}, {} - {}, {}'.format(
self.data['location_address_district'].upper(),
self.data['location_address_locality'].upper(),
self.data['location_address_region'].upper(),
self.data['location_address_postal_code'].upper(),
)
uri = urlparse(uri_dest)
file_format = uri.path.rpartition('.')[-1].lower()
file_args = {'uid': self.uid, 'format': file_format}
if uri.scheme == 'gs':
fp = '/tmp/hematopy-img-{uid}.{format}'.format(**file_args)
else:
fp = uri.path.format(**file_args)
if file_format == 'png':
cairosvg.svg2png(bytestring=etree.tostring(tree), write_to=fp)
if file_format == 'pdf':
cairosvg.svg2pdf(bytestring=etree.tostring(tree), write_to=fp)
if file_format == 'ps':
cairosvg.svg2ps(bytestring=etree.tostring(tree), write_to=fp)
if file_format == 'svg':
cairosvg.svg2svg(bytestring=etree.tostring(tree), write_to=fp)
if uri.scheme == 'gs':
client = storage.storage_gc.Client()
file_path = uri.path.format(**file_args)
with open(fp, 'rb') as file:
object_stream = storage.GCSObjectStreamUpload(
client,
bucket_name=uri.netloc,
blob_name=file_path,
)
def file_read_chunked(file, chunk_size):
return iter(lambda: file.read(chunk_size), '')
with open(fp, 'rb') as file:
with object_stream as obj_stream:
file_chunks = file_read_chunked(
file, obj_stream._chunk_size)
for data in file_chunks:
obj_stream.write(data)
if data == b'':
break
os.remove(fp)
_d = d.copy()
(_d.pop(k) for k in 'recipient_name recipient_image'.split())
logger.info({
'type': 'banner_generated',
'data': {
'donation': _d,
'_meta': {
'file_format': file_format,
}
},
})
return True,
error_message = '''
"{}" is invalid file extension! The supported extension is "png". "pdf", "ps" and "svg".
'''
raise ValueError(error_message.format(fp))
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import cairosvg
import os, errno
# import source svg at 20x20px original size
appIcon = cairosvg.svg2svg(bytestring=open("AppIcon.svg").read().encode('utf-8'))
# render for 48x48
icon_dir = "mdpi/"
os.makedirs(icon_dir, exist_ok=True)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"ic_launcher.png")
# render for 72x72
appIcon = cairosvg.svg2svg(bytestring=appIcon, scale=1.5)
icon_dir = "hdpi/"
os.makedirs(icon_dir, exist_ok=True)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"ic_launcher.png")
# render for 96x96
appIcon = cairosvg.svg2svg(bytestring=appIcon, scale=1.34)
icon_dir = "xhdpi/"
os.makedirs(icon_dir, exist_ok=True)
cairosvg.svg2png(bytestring=appIcon, write_to=icon_dir+"ic_launcher.png")
# render for 144x144
appIcon = cairosvg.svg2svg(bytestring=appIcon, scale=1.5)
icon_dir = "xxhdpi/"
os.makedirs(icon_dir, exist_ok=True)
