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Datasets:
icybawss
/
wikipedia-graph-data

Tags:
graph
wikipedia
webgl
sqlite
rapids
network
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icybawss commited on
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1 Parent(s): 7e3c700

Upload runs/variants.log with huggingface_hub

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  1. runs/variants.log +175 -79
runs/variants.log CHANGED
@@ -1,4 +1,4 @@
1
- === VARIANTS START 2026-07-09T06:21:10Z | width=8000 ===
2
  WARNING: huggingface-hub 1.22.0 does not provide the extra 'cli'
3
  === RunPod RAPIDS Preflight Check ===
4
 
@@ -22,7 +22,7 @@ WARNING: huggingface-hub 1.22.0 does not provide the extra 'cli'
22
 
23
  4. Functional smoke test (12-node graph, exact pipeline params):
24
  [PASS] cugraph.louvain -> 2 communities, modularity 0.468, columns ['vertex', 'partition']
25
- [PASS] cugraph.force_atlas2 (pinning/overlap/radius kwargs) -> ok, output columns ['vertex', 'x', 'y'], std(x)=130.390
26
  [PASS] cuDF ops (sample, groupby, cp.asarray) -> sample/groupby/asarray ok
27
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 2 will likely result in GPU under-utilization due to low occupancy.
28
  warn(errors.NumbaPerformanceWarning(msg))
@@ -38,171 +38,267 @@ RESULT: PASS — environment is safe for the full pipeline.
38
  ✓ Downloaded
39
  path: /root/wikipedia_graph/runpod/edges_weighted.csv.gz
40
 
41
- --- Variant: palette_plain ---
42
  --- GPU-Accelerated Datashader Renderer ---
43
  Edge settings: OFF curve=0.0 alpha=90
44
- Category dominance weights: all 1.0
45
  Step 1: Loading raw enriched coordinates from coordinates_rapids.bin...
46
- Loaded coordinates for 6,919,752 nodes in 0.88s.
 
 
47
  Step 2: Loading edge list from edges_weighted.csv.gz...
48
  Edges disabled (--edges-off) — rendering nodes only.
49
- Step 3: Creating canvas of size 8000x8000...
50
- Using ranges x: (-32672.987734375, 32674.890078125), y: (-32640.24236328125, 32671.45134765625)
51
  Step 5: Rendering nodes (point aggregation category-by-category)...
 
52
  Astronomical spread widths: dust=1px, stars=2px, supernova=3px
53
  Winner-take-all compositing: dust=6,573,764 stars=311,389 supernova=34,599
54
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 17 will likely result in GPU under-utilization due to low occupancy.
55
  warn(errors.NumbaPerformanceWarning(msg))
56
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 62 will likely result in GPU under-utilization due to low occupancy.
57
  warn(errors.NumbaPerformanceWarning(msg))
58
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 9 will likely result in GPU under-utilization due to low occupancy.
59
  warn(errors.NumbaPerformanceWarning(msg))
60
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 71 will likely result in GPU under-utilization due to low occupancy.
61
  warn(errors.NumbaPerformanceWarning(msg))
62
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 99 will likely result in GPU under-utilization due to low occupancy.
63
  warn(errors.NumbaPerformanceWarning(msg))
64
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 21 will likely result in GPU under-utilization due to low occupancy.
 
 
 
 
65
  warn(errors.NumbaPerformanceWarning(msg))
66
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 3 will likely result in GPU under-utilization due to low occupancy.
67
  warn(errors.NumbaPerformanceWarning(msg))
68
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 8 will likely result in GPU under-utilization due to low occupancy.
69
  warn(errors.NumbaPerformanceWarning(msg))
70
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 19 will likely result in GPU under-utilization due to low occupancy.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
71
  warn(errors.NumbaPerformanceWarning(msg))
72
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 1 will likely result in GPU under-utilization due to low occupancy.
73
  warn(errors.NumbaPerformanceWarning(msg))
74
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 10 will likely result in GPU under-utilization due to low occupancy.
 
 
 
 
 
 
75
  warn(errors.NumbaPerformanceWarning(msg))
76
- Nodes rendered in 19.97s.
77
  Step 6: Blending layers and exporting static PNG image...
78
- Image exported successfully as variant_palette_plain.png in 6.69s.
79
- === Total Rendering Time: 27.57 seconds ===
80
 
81
- --- Variant: demote_bio_04 ---
82
  --- GPU-Accelerated Datashader Renderer ---
83
- Edge settings: OFF curve=0.0 alpha=90
84
- Category dominance weights: {0: 0.4}
85
  Step 1: Loading raw enriched coordinates from coordinates_rapids.bin...
86
- Loaded coordinates for 6,919,752 nodes in 0.67s.
 
 
87
  Step 2: Loading edge list from edges_weighted.csv.gz...
88
- Edges disabled (--edges-off) — rendering nodes only.
89
- Step 3: Creating canvas of size 8000x8000...
90
- Using ranges x: (-32672.987734375, 32674.890078125), y: (-32640.24236328125, 32671.45134765625)
 
 
 
91
  Step 5: Rendering nodes (point aggregation category-by-category)...
 
92
  Astronomical spread widths: dust=1px, stars=2px, supernova=3px
93
  Winner-take-all compositing: dust=6,573,764 stars=311,389 supernova=34,599
94
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 17 will likely result in GPU under-utilization due to low occupancy.
95
  warn(errors.NumbaPerformanceWarning(msg))
96
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 62 will likely result in GPU under-utilization due to low occupancy.
97
  warn(errors.NumbaPerformanceWarning(msg))
98
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 9 will likely result in GPU under-utilization due to low occupancy.
99
  warn(errors.NumbaPerformanceWarning(msg))
100
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 71 will likely result in GPU under-utilization due to low occupancy.
101
  warn(errors.NumbaPerformanceWarning(msg))
102
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 99 will likely result in GPU under-utilization due to low occupancy.
103
  warn(errors.NumbaPerformanceWarning(msg))
104
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 21 will likely result in GPU under-utilization due to low occupancy.
 
 
 
 
105
  warn(errors.NumbaPerformanceWarning(msg))
106
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 3 will likely result in GPU under-utilization due to low occupancy.
107
  warn(errors.NumbaPerformanceWarning(msg))
108
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 8 will likely result in GPU under-utilization due to low occupancy.
109
  warn(errors.NumbaPerformanceWarning(msg))
110
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 19 will likely result in GPU under-utilization due to low occupancy.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
111
  warn(errors.NumbaPerformanceWarning(msg))
112
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 1 will likely result in GPU under-utilization due to low occupancy.
113
  warn(errors.NumbaPerformanceWarning(msg))
114
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 10 will likely result in GPU under-utilization due to low occupancy.
 
 
 
 
 
 
115
  warn(errors.NumbaPerformanceWarning(msg))
116
- Nodes rendered in 5.91s.
117
  Step 6: Blending layers and exporting static PNG image...
118
- Image exported successfully as variant_demote_bio_04.png in 6.73s.
119
- === Total Rendering Time: 13.33 seconds ===
120
 
121
- --- Variant: demote_bio_025 ---
122
  --- GPU-Accelerated Datashader Renderer ---
123
- Edge settings: OFF curve=0.0 alpha=90
124
- Category dominance weights: {0: 0.25}
125
  Step 1: Loading raw enriched coordinates from coordinates_rapids.bin...
126
- Loaded coordinates for 6,919,752 nodes in 0.76s.
 
 
127
  Step 2: Loading edge list from edges_weighted.csv.gz...
128
- Edges disabled (--edges-off) — rendering nodes only.
129
- Step 3: Creating canvas of size 8000x8000...
130
- Using ranges x: (-32672.987734375, 32674.890078125), y: (-32640.24236328125, 32671.45134765625)
 
 
 
131
  Step 5: Rendering nodes (point aggregation category-by-category)...
 
132
  Astronomical spread widths: dust=1px, stars=2px, supernova=3px
133
  Winner-take-all compositing: dust=6,573,764 stars=311,389 supernova=34,599
134
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 17 will likely result in GPU under-utilization due to low occupancy.
135
  warn(errors.NumbaPerformanceWarning(msg))
136
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 62 will likely result in GPU under-utilization due to low occupancy.
137
  warn(errors.NumbaPerformanceWarning(msg))
138
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 9 will likely result in GPU under-utilization due to low occupancy.
139
  warn(errors.NumbaPerformanceWarning(msg))
140
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 71 will likely result in GPU under-utilization due to low occupancy.
141
  warn(errors.NumbaPerformanceWarning(msg))
142
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 99 will likely result in GPU under-utilization due to low occupancy.
143
  warn(errors.NumbaPerformanceWarning(msg))
144
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 21 will likely result in GPU under-utilization due to low occupancy.
 
 
 
 
145
  warn(errors.NumbaPerformanceWarning(msg))
146
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 3 will likely result in GPU under-utilization due to low occupancy.
147
  warn(errors.NumbaPerformanceWarning(msg))
148
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 8 will likely result in GPU under-utilization due to low occupancy.
149
  warn(errors.NumbaPerformanceWarning(msg))
150
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 19 will likely result in GPU under-utilization due to low occupancy.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
151
  warn(errors.NumbaPerformanceWarning(msg))
152
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 1 will likely result in GPU under-utilization due to low occupancy.
153
  warn(errors.NumbaPerformanceWarning(msg))
154
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 10 will likely result in GPU under-utilization due to low occupancy.
155
  warn(errors.NumbaPerformanceWarning(msg))
156
- Nodes rendered in 6.83s.
 
 
 
 
 
 
157
  Step 6: Blending layers and exporting static PNG image...
158
- Image exported successfully as variant_demote_bio_025.png in 7.53s.
159
- === Total Rendering Time: 15.16 seconds ===
160
 
161
- --- Variant: demote_edges ---
162
  --- GPU-Accelerated Datashader Renderer ---
163
- Edge settings: ON curve=0.0 alpha=25
164
- Category dominance weights: {0: 0.4}
165
  Step 1: Loading raw enriched coordinates from coordinates_rapids.bin...
166
- Loaded coordinates for 6,919,752 nodes in 0.68s.
 
 
167
  Step 2: Loading edge list from edges_weighted.csv.gz...
168
  Sampling first 15,000,000 edges for filaments (out of 186,481,888 total)...
169
- Mapped curves for 15,000,000 edges in 17.13s.
170
- Step 3: Creating canvas of size 8000x8000...
171
- Using ranges x: (-32672.987734375, 32674.890078125), y: (-32640.24236328125, 32671.45134765625)
172
  Step 4: Rendering filaments (line aggregation)...
173
- Filaments rendered in 22.49s.
174
  Step 5: Rendering nodes (point aggregation category-by-category)...
 
175
  Astronomical spread widths: dust=1px, stars=2px, supernova=3px
176
  Winner-take-all compositing: dust=6,573,764 stars=311,389 supernova=34,599
177
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 17 will likely result in GPU under-utilization due to low occupancy.
178
  warn(errors.NumbaPerformanceWarning(msg))
179
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 62 will likely result in GPU under-utilization due to low occupancy.
180
  warn(errors.NumbaPerformanceWarning(msg))
 
 
181
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 9 will likely result in GPU under-utilization due to low occupancy.
182
  warn(errors.NumbaPerformanceWarning(msg))
183
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 71 will likely result in GPU under-utilization due to low occupancy.
184
  warn(errors.NumbaPerformanceWarning(msg))
185
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 99 will likely result in GPU under-utilization due to low occupancy.
186
  warn(errors.NumbaPerformanceWarning(msg))
187
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 21 will likely result in GPU under-utilization due to low occupancy.
188
  warn(errors.NumbaPerformanceWarning(msg))
189
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 3 will likely result in GPU under-utilization due to low occupancy.
190
  warn(errors.NumbaPerformanceWarning(msg))
191
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 8 will likely result in GPU under-utilization due to low occupancy.
192
  warn(errors.NumbaPerformanceWarning(msg))
193
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 19 will likely result in GPU under-utilization due to low occupancy.
194
  warn(errors.NumbaPerformanceWarning(msg))
195
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 1 will likely result in GPU under-utilization due to low occupancy.
196
  warn(errors.NumbaPerformanceWarning(msg))
197
- /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 10 will likely result in GPU under-utilization due to low occupancy.
198
- warn(errors.NumbaPerformanceWarning(msg))
199
- Nodes rendered in 4.86s.
200
  Step 6: Blending layers and exporting static PNG image...
201
- Image exported successfully as variant_demote_edges.png in 8.49s.
202
- === Total Rendering Time: 53.68 seconds ===
203
 
204
- === VARIANTS COMPLETE 2026-07-09T06:24:08Z ===
205
- -rw-r--r-- 1 root root 15M Jul 9 06:23 variant_demote_bio_025.png
206
- -rw-r--r-- 1 root root 15M Jul 9 06:22 variant_demote_bio_04.png
207
- -rw-r--r-- 1 root root 19M Jul 9 06:24 variant_demote_edges.png
208
- -rw-r--r-- 1 root root 15M Jul 9 06:22 variant_palette_plain.png
 
1
+ === VARIANTS START 2026-07-09T07:35:31Z | width=9000 ===
2
  WARNING: huggingface-hub 1.22.0 does not provide the extra 'cli'
3
  === RunPod RAPIDS Preflight Check ===
4
 
 
22
 
23
  4. Functional smoke test (12-node graph, exact pipeline params):
24
  [PASS] cugraph.louvain -> 2 communities, modularity 0.468, columns ['vertex', 'partition']
25
+ [PASS] cugraph.force_atlas2 (pinning/overlap/radius kwargs) -> ok, output columns ['vertex', 'x', 'y'], std(x)=129.686
26
  [PASS] cuDF ops (sample, groupby, cp.asarray) -> sample/groupby/asarray ok
27
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 2 will likely result in GPU under-utilization due to low occupancy.
28
  warn(errors.NumbaPerformanceWarning(msg))
 
38
  ✓ Downloaded
39
  path: /root/wikipedia_graph/runpod/edges_weighted.csv.gz
40
 
41
+ --- Variant: community_noedge ---
42
  --- GPU-Accelerated Datashader Renderer ---
43
  Edge settings: OFF curve=0.0 alpha=90
44
+ Color by: community | dominance weights: all 1.0
45
  Step 1: Loading raw enriched coordinates from coordinates_rapids.bin...
46
+ Detected 6 columns per node.
47
+ Community column present (22 communities).
48
+ Loaded coordinates for 6,919,752 nodes in 0.86s.
49
  Step 2: Loading edge list from edges_weighted.csv.gz...
50
  Edges disabled (--edges-off) — rendering nodes only.
51
+ Step 3: Creating canvas of size 9000x9000...
52
+ Using ranges x: (-32680.1166015625, 32671.1439453125), y: (-32675.0227734375, 32677.2258984375)
53
  Step 5: Rendering nodes (point aggregation category-by-category)...
54
+ Coloring by: community
55
  Astronomical spread widths: dust=1px, stars=2px, supernova=3px
56
  Winner-take-all compositing: dust=6,573,764 stars=311,389 supernova=34,599
57
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 51 will likely result in GPU under-utilization due to low occupancy.
58
  warn(errors.NumbaPerformanceWarning(msg))
59
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 39 will likely result in GPU under-utilization due to low occupancy.
60
  warn(errors.NumbaPerformanceWarning(msg))
61
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 105 will likely result in GPU under-utilization due to low occupancy.
62
  warn(errors.NumbaPerformanceWarning(msg))
63
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 108 will likely result in GPU under-utilization due to low occupancy.
64
  warn(errors.NumbaPerformanceWarning(msg))
65
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 22 will likely result in GPU under-utilization due to low occupancy.
66
  warn(errors.NumbaPerformanceWarning(msg))
67
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 90 will likely result in GPU under-utilization due to low occupancy.
68
+ warn(errors.NumbaPerformanceWarning(msg))
69
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 9 will likely result in GPU under-utilization due to low occupancy.
70
+ warn(errors.NumbaPerformanceWarning(msg))
71
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 16 will likely result in GPU under-utilization due to low occupancy.
72
  warn(errors.NumbaPerformanceWarning(msg))
73
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 3 will likely result in GPU under-utilization due to low occupancy.
74
  warn(errors.NumbaPerformanceWarning(msg))
75
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 52 will likely result in GPU under-utilization due to low occupancy.
76
  warn(errors.NumbaPerformanceWarning(msg))
77
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 5 will likely result in GPU under-utilization due to low occupancy.
78
+ warn(errors.NumbaPerformanceWarning(msg))
79
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 61 will likely result in GPU under-utilization due to low occupancy.
80
+ warn(errors.NumbaPerformanceWarning(msg))
81
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 85 will likely result in GPU under-utilization due to low occupancy.
82
+ warn(errors.NumbaPerformanceWarning(msg))
83
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 17 will likely result in GPU under-utilization due to low occupancy.
84
+ warn(errors.NumbaPerformanceWarning(msg))
85
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 18 will likely result in GPU under-utilization due to low occupancy.
86
+ warn(errors.NumbaPerformanceWarning(msg))
87
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 44 will likely result in GPU under-utilization due to low occupancy.
88
+ warn(errors.NumbaPerformanceWarning(msg))
89
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 6 will likely result in GPU under-utilization due to low occupancy.
90
+ warn(errors.NumbaPerformanceWarning(msg))
91
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 12 will likely result in GPU under-utilization due to low occupancy.
92
+ warn(errors.NumbaPerformanceWarning(msg))
93
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 28 will likely result in GPU under-utilization due to low occupancy.
94
  warn(errors.NumbaPerformanceWarning(msg))
95
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 1 will likely result in GPU under-utilization due to low occupancy.
96
  warn(errors.NumbaPerformanceWarning(msg))
97
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 4 will likely result in GPU under-utilization due to low occupancy.
98
+ warn(errors.NumbaPerformanceWarning(msg))
99
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 7 will likely result in GPU under-utilization due to low occupancy.
100
+ warn(errors.NumbaPerformanceWarning(msg))
101
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 8 will likely result in GPU under-utilization due to low occupancy.
102
+ warn(errors.NumbaPerformanceWarning(msg))
103
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 2 will likely result in GPU under-utilization due to low occupancy.
104
  warn(errors.NumbaPerformanceWarning(msg))
105
+ Nodes rendered in 19.92s.
106
  Step 6: Blending layers and exporting static PNG image...
107
+ Image exported successfully as variant_community_noedge.png in 6.04s.
108
+ === Total Rendering Time: 26.84 seconds ===
109
 
110
+ --- Variant: community_web40 ---
111
  --- GPU-Accelerated Datashader Renderer ---
112
+ Edge settings: ON curve=0.0 alpha=40
113
+ Color by: community | dominance weights: all 1.0
114
  Step 1: Loading raw enriched coordinates from coordinates_rapids.bin...
115
+ Detected 6 columns per node.
116
+ Community column present (22 communities).
117
+ Loaded coordinates for 6,919,752 nodes in 0.68s.
118
  Step 2: Loading edge list from edges_weighted.csv.gz...
119
+ Sampling first 15,000,000 edges for filaments (out of 186,481,888 total)...
120
+ Mapped curves for 15,000,000 edges in 17.48s.
121
+ Step 3: Creating canvas of size 9000x9000...
122
+ Using ranges x: (-32680.1166015625, 32671.1439453125), y: (-32675.0227734375, 32677.2258984375)
123
+ Step 4: Rendering filaments (line aggregation)...
124
+ Filaments rendered in 22.93s.
125
  Step 5: Rendering nodes (point aggregation category-by-category)...
126
+ Coloring by: community
127
  Astronomical spread widths: dust=1px, stars=2px, supernova=3px
128
  Winner-take-all compositing: dust=6,573,764 stars=311,389 supernova=34,599
129
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 51 will likely result in GPU under-utilization due to low occupancy.
130
  warn(errors.NumbaPerformanceWarning(msg))
131
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 39 will likely result in GPU under-utilization due to low occupancy.
132
  warn(errors.NumbaPerformanceWarning(msg))
133
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 105 will likely result in GPU under-utilization due to low occupancy.
134
  warn(errors.NumbaPerformanceWarning(msg))
135
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 108 will likely result in GPU under-utilization due to low occupancy.
136
  warn(errors.NumbaPerformanceWarning(msg))
137
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 22 will likely result in GPU under-utilization due to low occupancy.
138
  warn(errors.NumbaPerformanceWarning(msg))
139
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 90 will likely result in GPU under-utilization due to low occupancy.
140
+ warn(errors.NumbaPerformanceWarning(msg))
141
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 9 will likely result in GPU under-utilization due to low occupancy.
142
+ warn(errors.NumbaPerformanceWarning(msg))
143
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 16 will likely result in GPU under-utilization due to low occupancy.
144
  warn(errors.NumbaPerformanceWarning(msg))
145
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 3 will likely result in GPU under-utilization due to low occupancy.
146
  warn(errors.NumbaPerformanceWarning(msg))
147
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 52 will likely result in GPU under-utilization due to low occupancy.
148
  warn(errors.NumbaPerformanceWarning(msg))
149
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 5 will likely result in GPU under-utilization due to low occupancy.
150
+ warn(errors.NumbaPerformanceWarning(msg))
151
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 61 will likely result in GPU under-utilization due to low occupancy.
152
+ warn(errors.NumbaPerformanceWarning(msg))
153
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 85 will likely result in GPU under-utilization due to low occupancy.
154
+ warn(errors.NumbaPerformanceWarning(msg))
155
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 17 will likely result in GPU under-utilization due to low occupancy.
156
+ warn(errors.NumbaPerformanceWarning(msg))
157
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 18 will likely result in GPU under-utilization due to low occupancy.
158
+ warn(errors.NumbaPerformanceWarning(msg))
159
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 44 will likely result in GPU under-utilization due to low occupancy.
160
+ warn(errors.NumbaPerformanceWarning(msg))
161
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 6 will likely result in GPU under-utilization due to low occupancy.
162
+ warn(errors.NumbaPerformanceWarning(msg))
163
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 12 will likely result in GPU under-utilization due to low occupancy.
164
+ warn(errors.NumbaPerformanceWarning(msg))
165
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 28 will likely result in GPU under-utilization due to low occupancy.
166
  warn(errors.NumbaPerformanceWarning(msg))
167
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 1 will likely result in GPU under-utilization due to low occupancy.
168
  warn(errors.NumbaPerformanceWarning(msg))
169
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 4 will likely result in GPU under-utilization due to low occupancy.
170
+ warn(errors.NumbaPerformanceWarning(msg))
171
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 7 will likely result in GPU under-utilization due to low occupancy.
172
+ warn(errors.NumbaPerformanceWarning(msg))
173
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 8 will likely result in GPU under-utilization due to low occupancy.
174
+ warn(errors.NumbaPerformanceWarning(msg))
175
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 2 will likely result in GPU under-utilization due to low occupancy.
176
  warn(errors.NumbaPerformanceWarning(msg))
177
+ Nodes rendered in 7.50s.
178
  Step 6: Blending layers and exporting static PNG image...
179
+ Image exported successfully as variant_community_web40.png in 9.01s.
180
+ === Total Rendering Time: 57.64 seconds ===
181
 
182
+ --- Variant: community_web75 ---
183
  --- GPU-Accelerated Datashader Renderer ---
184
+ Edge settings: ON curve=0.0 alpha=75
185
+ Color by: community | dominance weights: all 1.0
186
  Step 1: Loading raw enriched coordinates from coordinates_rapids.bin...
187
+ Detected 6 columns per node.
188
+ Community column present (22 communities).
189
+ Loaded coordinates for 6,919,752 nodes in 0.69s.
190
  Step 2: Loading edge list from edges_weighted.csv.gz...
191
+ Sampling first 15,000,000 edges for filaments (out of 186,481,888 total)...
192
+ Mapped curves for 15,000,000 edges in 16.77s.
193
+ Step 3: Creating canvas of size 9000x9000...
194
+ Using ranges x: (-32680.1166015625, 32671.1439453125), y: (-32675.0227734375, 32677.2258984375)
195
+ Step 4: Rendering filaments (line aggregation)...
196
+ Filaments rendered in 6.79s.
197
  Step 5: Rendering nodes (point aggregation category-by-category)...
198
+ Coloring by: community
199
  Astronomical spread widths: dust=1px, stars=2px, supernova=3px
200
  Winner-take-all compositing: dust=6,573,764 stars=311,389 supernova=34,599
201
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 51 will likely result in GPU under-utilization due to low occupancy.
202
  warn(errors.NumbaPerformanceWarning(msg))
203
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 39 will likely result in GPU under-utilization due to low occupancy.
204
  warn(errors.NumbaPerformanceWarning(msg))
205
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 105 will likely result in GPU under-utilization due to low occupancy.
206
  warn(errors.NumbaPerformanceWarning(msg))
207
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 108 will likely result in GPU under-utilization due to low occupancy.
208
  warn(errors.NumbaPerformanceWarning(msg))
209
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 22 will likely result in GPU under-utilization due to low occupancy.
210
  warn(errors.NumbaPerformanceWarning(msg))
211
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 90 will likely result in GPU under-utilization due to low occupancy.
212
+ warn(errors.NumbaPerformanceWarning(msg))
213
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 9 will likely result in GPU under-utilization due to low occupancy.
214
+ warn(errors.NumbaPerformanceWarning(msg))
215
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 16 will likely result in GPU under-utilization due to low occupancy.
216
  warn(errors.NumbaPerformanceWarning(msg))
217
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 3 will likely result in GPU under-utilization due to low occupancy.
218
  warn(errors.NumbaPerformanceWarning(msg))
219
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 52 will likely result in GPU under-utilization due to low occupancy.
220
  warn(errors.NumbaPerformanceWarning(msg))
221
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 5 will likely result in GPU under-utilization due to low occupancy.
222
+ warn(errors.NumbaPerformanceWarning(msg))
223
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 61 will likely result in GPU under-utilization due to low occupancy.
224
+ warn(errors.NumbaPerformanceWarning(msg))
225
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 85 will likely result in GPU under-utilization due to low occupancy.
226
+ warn(errors.NumbaPerformanceWarning(msg))
227
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 17 will likely result in GPU under-utilization due to low occupancy.
228
+ warn(errors.NumbaPerformanceWarning(msg))
229
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 18 will likely result in GPU under-utilization due to low occupancy.
230
+ warn(errors.NumbaPerformanceWarning(msg))
231
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 44 will likely result in GPU under-utilization due to low occupancy.
232
+ warn(errors.NumbaPerformanceWarning(msg))
233
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 6 will likely result in GPU under-utilization due to low occupancy.
234
+ warn(errors.NumbaPerformanceWarning(msg))
235
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 12 will likely result in GPU under-utilization due to low occupancy.
236
+ warn(errors.NumbaPerformanceWarning(msg))
237
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 28 will likely result in GPU under-utilization due to low occupancy.
238
  warn(errors.NumbaPerformanceWarning(msg))
239
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 1 will likely result in GPU under-utilization due to low occupancy.
240
  warn(errors.NumbaPerformanceWarning(msg))
241
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 4 will likely result in GPU under-utilization due to low occupancy.
242
  warn(errors.NumbaPerformanceWarning(msg))
243
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 7 will likely result in GPU under-utilization due to low occupancy.
244
+ warn(errors.NumbaPerformanceWarning(msg))
245
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 8 will likely result in GPU under-utilization due to low occupancy.
246
+ warn(errors.NumbaPerformanceWarning(msg))
247
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 2 will likely result in GPU under-utilization due to low occupancy.
248
+ warn(errors.NumbaPerformanceWarning(msg))
249
+ Nodes rendered in 7.71s.
250
  Step 6: Blending layers and exporting static PNG image...
251
+ Image exported successfully as variant_community_web75.png in 9.77s.
252
+ === Total Rendering Time: 41.74 seconds ===
253
 
254
+ --- Variant: category_web40 ---
255
  --- GPU-Accelerated Datashader Renderer ---
256
+ Edge settings: ON curve=0.0 alpha=40
257
+ Color by: category | dominance weights: all 1.0
258
  Step 1: Loading raw enriched coordinates from coordinates_rapids.bin...
259
+ Detected 6 columns per node.
260
+ Community column present (22 communities).
261
+ Loaded coordinates for 6,919,752 nodes in 0.65s.
262
  Step 2: Loading edge list from edges_weighted.csv.gz...
263
  Sampling first 15,000,000 edges for filaments (out of 186,481,888 total)...
264
+ Mapped curves for 15,000,000 edges in 16.30s.
265
+ Step 3: Creating canvas of size 9000x9000...
266
+ Using ranges x: (-32680.1166015625, 32671.1439453125), y: (-32675.0227734375, 32677.2258984375)
267
  Step 4: Rendering filaments (line aggregation)...
268
+ Filaments rendered in 6.88s.
269
  Step 5: Rendering nodes (point aggregation category-by-category)...
270
+ Coloring by: category
271
  Astronomical spread widths: dust=1px, stars=2px, supernova=3px
272
  Winner-take-all compositing: dust=6,573,764 stars=311,389 supernova=34,599
273
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 99 will likely result in GPU under-utilization due to low occupancy.
274
  warn(errors.NumbaPerformanceWarning(msg))
275
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 62 will likely result in GPU under-utilization due to low occupancy.
276
  warn(errors.NumbaPerformanceWarning(msg))
277
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 17 will likely result in GPU under-utilization due to low occupancy.
278
+ warn(errors.NumbaPerformanceWarning(msg))
279
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 9 will likely result in GPU under-utilization due to low occupancy.
280
  warn(errors.NumbaPerformanceWarning(msg))
281
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 71 will likely result in GPU under-utilization due to low occupancy.
282
  warn(errors.NumbaPerformanceWarning(msg))
283
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 19 will likely result in GPU under-utilization due to low occupancy.
284
  warn(errors.NumbaPerformanceWarning(msg))
285
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 21 will likely result in GPU under-utilization due to low occupancy.
286
  warn(errors.NumbaPerformanceWarning(msg))
287
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 10 will likely result in GPU under-utilization due to low occupancy.
288
  warn(errors.NumbaPerformanceWarning(msg))
289
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 8 will likely result in GPU under-utilization due to low occupancy.
290
  warn(errors.NumbaPerformanceWarning(msg))
291
+ /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 3 will likely result in GPU under-utilization due to low occupancy.
292
  warn(errors.NumbaPerformanceWarning(msg))
293
  /usr/local/lib/python3.12/dist-packages/numba_cuda/numba/cuda/dispatcher.py:716: NumbaPerformanceWarning: Grid size 1 will likely result in GPU under-utilization due to low occupancy.
294
  warn(errors.NumbaPerformanceWarning(msg))
295
+ Nodes rendered in 5.53s.
 
 
296
  Step 6: Blending layers and exporting static PNG image...
297
+ Image exported successfully as variant_category_web40.png in 9.33s.
298
+ === Total Rendering Time: 38.71 seconds ===
299
 
300
+ === VARIANTS COMPLETE 2026-07-09T07:39:22Z ===
301
+ -rw-r--r-- 1 root root 25M Jul 9 07:39 variant_category_web40.png
302
+ -rw-r--r-- 1 root root 19M Jul 9 07:36 variant_community_noedge.png
303
+ -rw-r--r-- 1 root root 26M Jul 9 07:37 variant_community_web40.png
304
+ -rw-r--r-- 1 root root 28M Jul 9 07:38 variant_community_web75.png