def gen_image(key, w, h, cre, cim, cmap):
start = time.perf_counter()
m = julia_fast.julia_set(w, h, cre + cim*1j)
end = time.perf_counter()-start
print('Made a {} x {} image in {} s'.format(w, h, end))
image_data = np.empty((h,w,3), dtype=np.uint8)
colors = 255*np.array(getattr(cm,cmap).colors)
for j, i in product(range(h), range(w)):
image_data[j, i, :] = colors[m[j,i]]
image = Image.fromarray(image_data, mode='RGB')
stream = io.BytesIO()
image.save(stream, format='png')
stream.seek(io.SEEK_SET)
store[key] = stream.read()
def gen_image(w, h, cre, cim, cmap):
start = time.perf_counter()
m = julia_fast.julia_set(w, h, cre + cim * 1j)
end = time.perf_counter() - start
print('Made a {} x {} image in {} s'.format(w, h, end))
image_data = np.empty((h, w, 3), dtype=np.uint8)
colors = 255 * np.array(getattr(cm, cmap).colors)
for j, i in product(range(h), range(w)):
image_data[j, i, :] = colors[m[j, i]]
image = Image.fromarray(image_data, mode='RGB')
stream = io.BytesIO()
image.save(stream, format='png')
stream.seek(io.SEEK_SET)
return stream.read()
def gen_image(key, w, h, cre, cim, cmap):
# This is well designed, but it is not responsive because
# of the gil.
start = time.perf_counter()
m = julia_fast.julia_set(w, h, cre + cim*1j)
end = time.perf_counter()-start
image_data = np.empty((h,w,3), dtype=np.uint8)
colors = 255*np.array(getattr(cm, cmap).colors)
for j,i in product(range(h), range(w)):
image_data[j,i,:] = colors[m[j,i]]
image = Image.fromarray(image_data, mode='RGB')
stream = io.BytesIO()
image.save(stream, format='png')
stream.seek(io.SEEK_SET)
print('Made {} x {} image in {} seconds'.format(w, h, end))
store[key] = stream.read()