def test_max_width_height_diag(self):
for i in range(1, 101):
sizes = [(j, i + 1 - j) for j in range(1, i + 1)]
pos = rpack.pack(sizes, max_width=i)
w, _ = rpack.bbox_size(sizes, pos)
self.assertEqual(w, i)
pos = rpack.pack(sizes, max_height=i)
_, h = rpack.bbox_size(sizes, pos)
self.assertEqual(h, i)
def test_max_width_height_both2(self):
sizes = [(2736, 3648), (2736, 3648), (3648, 2736), (2736, 3648), (2736, 3648)]
max_height = max_width = 14130
pos = rpack.pack(sizes, max_width=max_width, max_height=max_height)
self.assertLessEqual(max(*rpack.bbox_size(sizes, pos)), max_width)
index = rpack._core.overlapping(sizes, pos)
self.assertFalse(index)
def _bbox_rpack(component_sizes, pad_x=1.0, pad_y=1.0):
"""Compute bounding boxes for individual components
by arranging them as densly as possible.
Depends on `rectangle-packer`.
"""
try:
import rpack
except ImportError:
raise ImportError(
"Using the 'components layout' requires the installation of "
"the `rectangle-packer`. You can install it with "
"`pip install rectangle-packer`.")
dimensions = [_get_bbox_dimensions(n, power=0.8) for n in component_sizes]
# rpack only works on integers; sizes should be in descending order
dimensions = [(int(width + pad_x), int(height + pad_y))
for (width, height) in dimensions[::-1]]
origins = rpack.pack(dimensions)
outer_dimensions = rpack.enclosing_size(dimensions, origins)
aspect_ratio = outer_dimensions[0] / outer_dimensions[1]
if aspect_ratio > 1:
scale_width, scale_height = 1, aspect_ratio
else:
scale_width, scale_height = aspect_ratio, 1
bboxes = [(
x,
y,
width * scale_width - pad_x,
height * scale_height - pad_y,
) for (x, y), (width, height) in zip(origins, dimensions)]
return bboxes[::-1]
def test_max_width_height_both3(self):
sizes = [(3, 4), (3, 4), (4, 3), (3, 4), (3, 4)]
max_height = max_width = 9
pos = rpack.pack(sizes, max_width=max_width, max_height=max_height)
self.assertLessEqual(max(*rpack.bbox_size(sizes, pos)), max_width)
index = rpack._core.overlapping(sizes, pos)
self.assertFalse(index)
def get_packed(boxes):
sizes = [(int(box[2] - box[0]), int(box[3] - box[1])) for box in boxes]
heights = [int(box[3] - box[1]) for box in boxes]
#arr = np.array(sizes, dtype=[('w', int), ('h', int)])
arr = np.array(heights)
sorted_ind = np.argsort(arr)
sorted_ind = list(sorted_ind[::-1])
sorted_sizes = sorted(sizes, key=lambda x: x[1], reverse=True)
#sorted_sizes = np.sort(arr, order='h')
#sorted_sizes = sorted_sizes[::-1]
#sorted_sizes = list(sorted_sizes)
#from IPython import embed
#embed()
positions = rpack.pack(sorted_sizes)
shape = rpack.enclosing_size(sorted_sizes, positions)
new_img = np.zeros((shape[1], shape[0], 3))
for i in range(len(positions)):
x, y = positions[i]
w, h = sorted_sizes[i]
box = boxes[sorted_ind[i]]
img = cv2.imread(box[4])
img = np.array(img)
new_img[y:y + h, x:x + w, :] = img[int(box[1]):int(box[1]) + h,
int(box[0]):int(box[0] + w)]
return new_img
def _get_component_bboxes(component_sizes, pad_x=1., pad_y=1.):
dimensions = [_get_bbox_dimensions(n, power=0.8) for n in component_sizes]
# rpack only works on integers; sizes should be in descending order
dimensions = [(int(width + pad_x), int(height + pad_y)) for (width, height) in dimensions[::-1]]
origins = rpack.pack(dimensions)
bboxes = [(x, y, width-pad_x, height-pad_y) for (x,y), (width, height) in zip(origins, dimensions)]
return bboxes[::-1]
def pack(allRect, canvasSize):
#stores width and height from allRect which was given
rects = [(rect.width, rect.height) for rect in allRect]
location = rpack.pack(rects)
#zip of tuple iterators to place in appropriate locations when drawn
for locat, rect in zip(location, allRect):
rect.x = locat[0]
rect.y = locat[1]
def pack(allRect, canvasSize): # uses rectangle-packer to sort rectangles
rects = [(rect.width, rect.height) for rect in allRect]
available = rpack.pack(rects)
for position, rect in zip(available,
allRect): # sets positions for rectangles
rect.x = position[0]
rect.y = position[1]
def pack(allRect, canvasSize):
rects = [(rect.width, rect.height) for rect in allRect]
positions = rpack.pack(rects)
for position, rect in zip(positions, allRect):
rect.x = position[0]
rect.y = position[1]
def test(n):
random.seed(0)
sizes = [(random.randint(1, 1000), random.randint(1, 1000)) for _ in range(n)]
pos = rpack.pack(sizes)
assert not rpack._core.overlapping(sizes, pos)
w, h = rpack._core.bbox_size(sizes, pos)
p = rpack._core.packing_density(sizes, pos)
print(f'encl (w={w} x h={h}), area={w*h}, rho={p}')
def average_time(nr_rectangles):
N = 10
t0 = time.time()
for i in range(N):
sizes = [(randint(10, 120), randint(10, 120))
for _ in range(nr_rectangles)]
positions = rpack.pack(sizes)
t1 = time.time()
return (t1 - t0) / N
def test_max_width_height_both4(self):
sizes = [(3, 4), (3, 4), (4, 3), (3, 4), (3, 4)]
max_width, max_height = (16, 4)
pos = rpack.pack(sizes, max_width=max_width, max_height=max_height)
w, h = rpack.bbox_size(sizes, pos)
self.assertLessEqual(w, max_width)
self.assertLessEqual(h, max_height)
index = rpack._core.overlapping(sizes, pos)
self.assertFalse(index)
def test_no_overlap(self):
"""Make sure no rectangles overlap"""
for i in range(10, 101, 10):
with self.subTest(seed=i):
random.seed(i)
sizes = [(random.randint(1, i), random.randint(1, i))
for _ in range(110 - i)]
pos = rpack.pack(sizes)
self.assertFalse(rpack._core.overlapping(sizes, pos))
def pack(rect_list):
tempList = []
pos = []
for i in rect_list:
tempList.append((int(i.get_h()), int(i.get_w())))
pos = rpack.pack(tempList)
return pos
def test_backwards_compatible(self):
for i in range(10):
random.seed(i)
sizes = [(random.randint(1, 50), random.randint(1, 50)) for _ in range(20)]
pos1 = rpack._rpack.pack(sizes)
self.assertFalse(rpack._core.overlapping(sizes, pos1))
pos2 = rpack.pack(sizes)
self.assertFalse(rpack._core.overlapping(sizes, pos2))
self.assertLessEqual(
rpack._core.packing_density(sizes, pos1),
rpack._core.packing_density(sizes, pos2))
def _get_component_bboxes(component_sizes, pad_x=1., pad_y=1.):
dimensions = [_get_bbox_dimensions(n, power=0.8) for n in component_sizes]
# rpack only works on integers
dimensions = [(int(width + pad_x), int(height + pad_y)) for (width, height) in dimensions]
# rpack works best if the heights are in descending order
dimensions = dimensions[::-1]
origins = rpack.pack(dimensions)
bboxes = [(x, y, width-pad_x, height-pad_y) for (x,y), (width, height) in zip(origins, dimensions)]
# reverse order to match order of components
bboxes = bboxes[::-1]
return bboxes
def test_no_overlap():
"""Make sure no rectangles overlap"""
random.seed(123)
rectangles = [(random.randint(50, 100), random.randint(50, 100))
for _ in range(40)]
positions = rpack.pack(rectangles)
for i, ((x1, y1), (w1, h1)) in enumerate(zip(positions, rectangles)):
for j, ((x2, y2), (w2, h2)) in enumerate(zip(positions, rectangles)):
if i != j:
disjoint_in_x = (x1 + w1 <= x2 or x2 + w2 <= x1)
disjoint_in_y = (y1 + h1 <= y2 or y2 + h2 <= y1)
assert disjoint_in_x or disjoint_in_y
def test_perfect_pack():
"""Pack rectangles to perfect rectangle
Like this::
aaa bb cc --> aaabb
aaa bb aaabb
aaa aaacc
"""
rectangles = [(3, 3), (2, 2), (2, 1)]
positions = [(0, 0), (3, 0), (3, 2)]
assert rpack.pack(rectangles) == positions
def test_perfect_pack(self):
"""Pack rectangles to perfect rectangle
Like this::
aaa bb cc --> aaabb
aaa bb aaabb
aaa aaacc
"""
sizes = [(3, 3), (2, 2), (2, 1)]
pos = [(0, 0), (3, 0), (3, 2)]
self.assertListEqual(rpack.pack(sizes), pos)
def _pack_components(G, layout, **kwargs):
"""Attempts to pack components using `layout` to compute component layouts,
rotates those component layouts to minimum-area bounding rectangles,
and then uses a rectangle packing algorithm to minimize the area of the
overall layout.
If `scale` is an argument, we rescale the layout after the above.
If `dim` is an argument and not equal to 2, we don't have an
implementation, so we pass the graph directly into `layout` and bypass
the packing procedure
"""
if kwargs.get('dim', 2) != 2:
return layout(G, **kwargs)
layouts = []
rectangles = []
if 'scale' in kwargs:
subkwargs = dict(kwargs)
scale = subkwargs['scale']
del subkwargs['scale']
else:
subkwargs = kwargs
scale = None
for i, c in enumerate(nx.connected_components(G)):
if len(c) > 2:
cpos = layout(G.subgraph(c), scale=len(c)**.5, **subkwargs)
apos = np.array(list(cpos.values()))
rpos, dims = _rotate_to_minimize_area(apos)
cpos = dict(zip(cpos, rpos))
dims = [int(ceil(z) + .001) for z in dims]
elif len(c) == 2:
cpos = dict(zip(c, [(-.5, 0), (.5, 0)]))
dims = [2, 1]
else:
cpos = dict(zip(c, [(0, 0)]))
dims = [1, 1]
layouts.append(cpos)
rectangles.append(dims)
positions = rpack.pack(rectangles)
layout = {
v: (vx + rx + w / 2, vy + ry + h / 2)
for (rx, ry), (w, h), cpos in zip(positions, rectangles, layouts)
for v, (vx, vy) in cpos.items()
}
if scale is not None:
layout_array = np.array(list(layout[v] for v in G))
return dict(zip(G, _scale_layout(layout_array, scale)))
else:
return layout
def run_once(cls):
clk = Clock()
results = []
for test in cls.tests:
test.build()
for cmp in cls.cmps:
clk.stop()
done = pack(test.rects, rect_cmp=cmp[1])
runtime = clk.get_ticks()
er = get_enclosing_rect(done)
cv = coverage(done, er)
results.append(TestResult(test, cmp, runtime, cv, er))
return results
def test_negative():
"""Negative number should raise ValueError"""
with pytest.raises(ValueError):
rpack.pack([(3, -5)])
with pytest.raises(ValueError):
rpack.pack([(-3, 5)])
with pytest.raises(ValueError):
rpack.pack([(-3, -5)])
def test_negative(self):
"""Negative number should raise ValueError"""
with self.assertRaises(ValueError):
rpack.pack([(3, -5)])
with self.assertRaises(ValueError):
rpack.pack([(-3, 5)])
with self.assertRaises(ValueError):
rpack.pack([(-3, -5)])
def main(args):
random.seed(0)
t0 = time.time()
while time.time() - t0 < args.duration:
func = random.choices([randrec, randneg, randtype], [0.8, 0.1, 0.1])
sizes = func[0]()
try:
pos = rpack.pack(sizes)
except Exception:
pass
else:
if pos:
rpack.packing_density(sizes, pos)
rpack.bbox_size(sizes, pos)
rpack.overlapping(sizes, pos)
def draw_pseudopage(paragraph_texts):
paragraphs = []
for paragraph_text in paragraph_texts:
paragraphs.append(draw_pseudoparagraph(paragraph_text))
sizes = [img.size for img in paragraphs]
placements = rpack.pack(sizes)
new_image_width = max(
[sizes[n][0] + placements[n][0] for n in range(len(sizes))])
new_image_height = max(
[sizes[n][1] + placements[n][1] for n in range(len(sizes))])
new_image = Image.new('RGB', (new_image_width, new_image_height),
color=(255, 255, 255))
for n in range(len(paragraphs)):
left, top, right, bottom = placements[n][0], placements[n][
1], placements[n][0] + sizes[n][0], placements[n][1] + sizes[n][1]
new_image.paste(paragraphs[n], (left, top, right, bottom))
return new_image
def arrange_images(normalized_posters, blur_factor, blur_radius):
"""
Arranges images to create a collage.
Arguments:
norm_time_posters: tuple(float, PIL.Image)
Normalized instances of time and area for time and posters respectively.
blur_factor:
Number of times to apply a blurring operation to diffuse wasted space.
blur_radius:
Radius of neighbourhood for use as Gaussian blurring parameter.
Returns:
collage: np.array
A collage of images heuristically packed together.
"""
# as a greedy heuristic sort by size first to minimize wasted area
normalized_posters = sorted(
normalized_posters, key=lambda x: x.size[0] * x.size[1], reverse=True
)
sizes = [x.size for x in normalized_posters]
positions = rpack.pack(sizes)
max_width = max(a[0] + b[0] for a, b in zip(positions, sizes))
max_height = max(a[1] + b[1] for a, b in zip(positions, sizes))
collage = np.full([max_height + 1, max_width + 1, 3], 255, dtype=np.uint8)
deadspace = np.full_like(collage, True)
# place images
for (x, y), img in zip(positions, normalized_posters):
dx, dy = img.size
collage[y : y + dy, x : x + dx] = img
deadspace[y : y + dy, x : x + dx] = False
# identify all deadspace which looks harsh on the eyes
deadspace = np.where(deadspace)
# diffuse deadspace to get a softer background
gaussian_blur = ImageFilter.GaussianBlur(radius=blur_radius)
for _ in range(blur_factor):
blurred = Image.fromarray(collage).filter(gaussian_blur)
collage[deadspace] = np.array(blurred)[deadspace]
return collage
def candidates():
"""Find bbox with golden ratio proportions"""
cands = list()
try:
i = 0
while True:
i += 1
random.seed(i)
sizes = [(random.randint(50, 1000), random.randint(50, 1000))
for _ in range(random.randint(30, 40))]
pos = rpack.pack(sizes)
rho = rpack.packing_density(sizes, pos)
w, h = rpack.bbox_size(sizes, pos)
if abs(w/h - 1.61803398875) < 0.01:
print('Found candidate:', rho, 'seed', i)
cands.append((rho, sizes, pos, i))
except KeyboardInterrupt:
pass
cands.sort(reverse=True)
return cands[0:10]
def test_max_width_height_long_running(self):
random.seed(123)
try:
while True:
n = random.randint(1, 20)
m = 20
sizes = [(random.randint(1, m), random.randint(1, m)) for _ in range(n)]
max_width = random.randint(1, m*n + 10)
max_height = random.randint(1, m*n + 10)
try:
pos = rpack.pack(sizes, max_width=max_width, max_height=max_height)
except rpack.PackingImpossibleError:
continue
else:
w, h = rpack.bbox_size(sizes, pos)
assert w <= max_width
assert h <= max_height
assert not rpack.overlapping(sizes, pos)
except KeyboardInterrupt:
print("Stopped.")
def proportional(self, min_size: int = 32, album_count: int = 100) -> None:
"""
:param min_size: the smallest size for an album in pixels
:param album_count: the number of albums to include in the poster
:return: None
"""
from rpack import pack, enclosing_size
if self.album_data is None or len(self.album_data.index) < album_count:
album_data = get_album_data(album_count, genre_tags=self.genre_tags)
else:
album_data = self.album_data
album_sizes = album_data["msPlayed"].astype(float)
album_sizes = album_sizes / min(album_sizes) * min_size
album_sizes = [(int(n), int(n)) for n in album_sizes]
new_poss = pack(album_sizes)
self.album_data = album_data
self.positions = new_poss
self.album_sizes = album_sizes
self.size = enclosing_size(album_sizes, new_poss)
def logo(output_dir='.'):
"""Create GIF logo used in sphinx documentation"""
random.seed(232460)
sizes = [(random.randint(50, 1000), random.randint(50, 1000))
for _ in range(random.randint(30, 40))]
pos = rpack.pack(sizes)
# Sort the rectangles so the animation will plot them from left to
# right.
sizes = [s for s, _ in sorted(zip(sizes, pos), key=lambda x: x[1])]
pos.sort()
# Create animation
p = PlotPacking(sizes, pos, trim=True)
for spine in p.ax.spines.values():
spine.set_linewidth(0)
p.animation(os.path.join(output_dir, f'logo'), 1, 0, dpi=40)
p = PlotPacking(sizes, pos, trim=True)
for spine in p.ax.spines.values():
spine.set_linewidth(0)
while p.feed():
pass
p.save(os.path.join(output_dir, f'logo'))
# Post process gif to only loop animation one time.
subprocess.run('convert -loop 1 logo.gif logo.gif', shell=True, check=True)
def plot(sizes, append=''):
t0 = time.time()
positions = rpack.pack(sizes)
t1 = time.time()
(width, height), rectangles = enclosing_size(sizes, positions)
norm = max(width, height)
color = cm.rainbow(np.linspace(0, 1, len(rectangles)))
fig1 = plt.figure()
ax1 = fig1.add_subplot(111, aspect='equal')
ax1.set_xlim([0, norm])
ax1.set_ylim([0, norm])
for r, c in zip(rectangles, color):
ax1.add_patch(
patches.Rectangle((r.x, r.y),
r.width,
r.height,
facecolor=c,
edgecolor='k'))
ax1.add_patch(
patches.Rectangle((0, 0), width, height, fill=False, linewidth=2))
ax1.invert_yaxis()
coverage = sum(w * h for w, h in sizes) / (width * height)
ax1.set_title(f'Area coverage: {coverage:.3f}%, t = {(t1 - t0):.3f}s')
ax1.yaxis.set_label_position("right")
ax1.set_ylabel(f'Enclosing height: {height}')
ax1.set_xlabel(f'Enclosing width: {width}')
timestamp = '{:%Y-%m-%d_%H%M%S}'.format(datetime.datetime.now())
branch = Repository('..').head.shorthand
plt.savefig(f'{branch}_{timestamp}_{append}.png')
plt.clf()
other = [Rect(
random.randint(from_size, to_size),
random.randint(from_size, to_size),
i
) for i in range(ocount)]
rects.extend(other)
colors = []
for r in rects:
colors.append((
random.uniform(0.1, 1),
random.uniform(0.1, 1),
random.uniform(0.1, 1)
))
done = pack(rects)
cover, size = coverage(done)
print cover, size
window = pyglet.window.Window(1400, 800, resizable=True)
delta_x = 0
delta_y = 0
@window.event
def on_draw():
window.clear()
gl.glLoadIdentity()
gl.glTranslatef(delta_x, delta_y, 0)
gl.glScalef(0.5, 0.5, 1.0)
draw_rects(done, colors)