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-rw-r--r--_img/photo1.jpgbin42961 -> 0 bytes
-rw-r--r--_img/photo2.jpgbin39625 -> 0 bytes
-rw-r--r--_img/photo3.jpgbin46071 -> 0 bytes
-rw-r--r--_img/photo4.jpgbin41621 -> 0 bytes
-rw-r--r--_img/photo5.jpgbin41836 -> 0 bytes
-rw-r--r--generate_graph.py97
6 files changed, 0 insertions, 97 deletions
diff --git a/_img/photo1.jpg b/_img/photo1.jpg
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--- a/_img/photo1.jpg
+++ /dev/null
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diff --git a/_img/photo2.jpg b/_img/photo2.jpg
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--- a/_img/photo2.jpg
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diff --git a/_img/photo3.jpg b/_img/photo3.jpg
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index 6143b9b..0000000
--- a/_img/photo3.jpg
+++ /dev/null
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diff --git a/_img/photo4.jpg b/_img/photo4.jpg
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index 7035b6b..0000000
--- a/_img/photo4.jpg
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diff --git a/_img/photo5.jpg b/_img/photo5.jpg
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index 9845eda..0000000
--- a/_img/photo5.jpg
+++ /dev/null
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diff --git a/generate_graph.py b/generate_graph.py
deleted file mode 100644
index 181c6fe..0000000
--- a/generate_graph.py
+++ /dev/null
@@ -1,97 +0,0 @@
-import sys, json, random
-from math import ceil, pi, sin, cos
-
-sizes = [1.0, 0.9, 0.8, 0.7, 0.3, 0.2, 0.1]
-counts = sys.argv[1:8]
-
-base_size = 200
-mass_quotient = float(sys.argv[8])
-size_quotient = float(sys.argv[9])
-subnode_threshold = float(sys.argv[10])
-
-nodes = {}
-
-nodes['n0'] = {
- 'width': base_size,
- 'height': base_size,
- 'color': 'rgba(255,255,255,0.01)',
- 'mass': base_size,
- 'fixed': True,
- 'x': 0,
- 'y': 0,
- 'image': 'photo' + str(random.randint(1, 5)) + '.jpg',
- 'main': True
-}
-node_count = 1
-
-node_sizes = []
-for i in counts:
- node_sizes = node_sizes + [sizes.pop(0)] * int(i)
-
-node_colors = {
- 1.0: 'rgba(52,149,255,0.33)',
- 0.9: 'rgba(52,149,255,0.33)',
- 0.8: 'rgba(52,149,255,0.33)',
- 0.7: 'rgba(52,149,255,0.33)',
- 0.3: 'rgba(255,0,0,0.33)',
- 0.2: 'rgba(255,255,0,0.33)',
- 0.1: 'rgba(255,255,255,0.33)'
-}
-
-angular_positions = [2 * pi / len(node_sizes) * (n - 1) for n in range(1, len(node_sizes)+1)]
-random.shuffle(angular_positions)
-
-edges = {}
-edges['n0'] = {}
-for node_size in node_sizes:
- node_id = 'n' + str(node_count)
- node_dimension = max(10, int(ceil(base_size * node_size * size_quotient)))
- node_mass = int(ceil(base_size * mass_quotient))
- node_angular_position = angular_positions[node_count-1]
- node_position = { 'x': 0.8 * cos(node_angular_position),
- 'y': 0.8 * sin(node_angular_position) }
- nodes[node_id] = {
- 'width': node_dimension,
- 'height': node_dimension,
- 'mass': node_mass,
- 'color': node_colors[node_size],
- 'fixed': True,
- 'x': node_position['x'],
- 'y': node_position['y'],
- 'image': 'photo' + str(random.randint(1, 5)) + '.jpg'
- }
- edges['n0'][node_id] = {}
- edges[node_id] = {}
- node_count += 1
- subnode_count = 1
- subnode_sizes = [n for n in node_sizes if (node_size > 0.2) and (random.random() > subnode_threshold)]
- for subnode_size in subnode_sizes:
- subnode_id = node_id + '_' + str(subnode_count)
- subnode_dimension = max(5, int(ceil(base_size * node_size * subnode_size * size_quotient * size_quotient)))
- subnode_mass = int(ceil(base_size * mass_quotient))
- nodes[subnode_id] = {
- 'width': subnode_dimension,
- 'height': subnode_dimension,
- 'mass': subnode_mass,
- 'color': node_colors[subnode_size],
- 'fixed': True,
- 'x': node_position['x'] * (0.995 + random.random() / 100),
- 'y': node_position['y'] * (0.995 + random.random() / 100),
- 'image': 'photo' + str(random.randint(1, 5)) + '.jpg'
- }
- edges[node_id][subnode_id] = {}
- subnode_count += 1
-
-print json.dumps(
- {
- 'repulsion': 2200,
- 'stiffness': 900,
- 'friction': 0,
- 'precision': 0.5,
- 'fps': 100,
- 'dt': 0.01,
- 'gravity': True,
- 'nodes': nodes,
- 'edges': edges
- }
-)