openai/shap-e
File Size
The distribution of size of files (measured in lines of code).
File Size Overall
  • There are 68 files with 9,962 lines of code.
    • 0 very long files (0 lines of code)
    • 3 long files (2,038 lines of code)
    • 14 medium size files (4,162 lines of code)
    • 18 small files (2,664 lines of code)
    • 33 very small files (1,098 lines of code)
0% | 20% | 41% | 26% | 11%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py0% | 20% | 41% | 26% | 11%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
shap_e0% | 20% | 41% | 26% | 11%
Longest Files (Top 50)
File# lines# units
channels_encoder.py
in shap_e/models/transmitter
 776 36
gaussian_diffusion.py
in shap_e/diffusion
 755 44
blender_script.py
in shap_e/rendering/blender
 507 31
_mc_table.py
in shap_e/rendering
 450 -
renderer.py
in shap_e/models/stf
 421 14
encoding.py
in shap_e/models/nn
 398 15
transformer.py
in shap_e/models/generation
 398 26
pc_encoder.py
in shap_e/models/transmitter
 339 16
ops.py
in shap_e/models/nn
 315 32
renderer.py
in shap_e/models/nerf
 264 4
k_diffusion.py
in shap_e/diffusion
 242 22
renderer.py
in shap_e/models/nerstf
 238 6
ray.py
in shap_e/models/nerf
 233 15
data_util.py
in shap_e/util
 222 7
pointnet2_utils.py
in shap_e/models/nn
 222 14
perceiver.py
in shap_e/models/generation
 212 10
pytorch3d_util.py
in shap_e/rendering
 208 10
pretrained_clip.py
in shap_e/models/generation
 194 19
model.py
in shap_e/models/nerf
 193 7
mc.py
in shap_e/rendering
 181 3
params_proj.py
in shap_e/models/transmitter
 174 13
multiview_encoder.py
in shap_e/models/transmitter
 168 5
mlp.py
in shap_e/models/stf
 160 8
configs.py
in shap_e/models
 153 1
mlp.py
in shap_e/models/nerstf
 151 7
base.py
in shap_e/models/transmitter
 151 19
point_cloud.py
in shap_e/rendering
 141 12
volume.py
in shap_e/models
 137 11
renderer.py
in shap_e/models
 136 9
meta.py
in shap_e/models/nn
 130 16
camera.py
in shap_e/models/nn
 129 13
render.py
in shap_e/rendering/blender
 127 4
download.py
in shap_e/models
 119 7
image_util.py
in shap_e/util
 116 11
cast.py
in shap_e/rendering/raycast
 104 4
view_data.py
in shap_e/rendering
 100 19
bottleneck.py
in shap_e/models/transmitter
 97 17
collections.py
in shap_e/util
 94 11
checkpoint.py
in shap_e/models/nn
 90 5
sample.py
in shap_e/diffusion
 78 3
mesh.py
in shap_e/rendering
 78 5
notebooks.py
in shap_e/util
 76 4
types.py
in shap_e/rendering/raycast
 66 5
view_data.py
in shap_e/rendering/blender
 66 5
pooled_mlp.py
in shap_e/models/generation
 63 5
ply_util.py
in shap_e/rendering
 45 1
render.py
in shap_e/rendering/raycast
 45 1
base.py
in shap_e/models/stf
 39 2
io.py
in shap_e/util
 28 2
latent_diffusion.py
in shap_e/models/generation
 27 2
Files With Most Units (Top 50)
File# lines# units
gaussian_diffusion.py
in shap_e/diffusion
 755 44
channels_encoder.py
in shap_e/models/transmitter
 776 36
ops.py
in shap_e/models/nn
 315 32
blender_script.py
in shap_e/rendering/blender
 507 31
transformer.py
in shap_e/models/generation
 398 26
k_diffusion.py
in shap_e/diffusion
 242 22
base.py
in shap_e/models/transmitter
 151 19
pretrained_clip.py
in shap_e/models/generation
 194 19
view_data.py
in shap_e/rendering
 100 19
bottleneck.py
in shap_e/models/transmitter
 97 17
meta.py
in shap_e/models/nn
 130 16
pc_encoder.py
in shap_e/models/transmitter
 339 16
ray.py
in shap_e/models/nerf
 233 15
encoding.py
in shap_e/models/nn
 398 15
pointnet2_utils.py
in shap_e/models/nn
 222 14
renderer.py
in shap_e/models/stf
 421 14
camera.py
in shap_e/models/nn
 129 13
params_proj.py
in shap_e/models/transmitter
 174 13
point_cloud.py
in shap_e/rendering
 141 12
collections.py
in shap_e/util
 94 11
image_util.py
in shap_e/util
 116 11
volume.py
in shap_e/models
 137 11
perceiver.py
in shap_e/models/generation
 212 10
pytorch3d_util.py
in shap_e/rendering
 208 10
renderer.py
in shap_e/models
 136 9
mlp.py
in shap_e/models/stf
 160 8
data_util.py
in shap_e/util
 222 7
mlp.py
in shap_e/models/nerstf
 151 7
model.py
in shap_e/models/nerf
 193 7
download.py
in shap_e/models
 119 7
renderer.py
in shap_e/models/nerstf
 238 6
checkpoint.py
in shap_e/models/nn
 90 5
multiview_encoder.py
in shap_e/models/transmitter
 168 5
pooled_mlp.py
in shap_e/models/generation
 63 5
mesh.py
in shap_e/rendering
 78 5
types.py
in shap_e/rendering/raycast
 66 5
view_data.py
in shap_e/rendering/blender
 66 5
notebooks.py
in shap_e/util
 76 4
renderer.py
in shap_e/models/nerf
 264 4
cast.py
in shap_e/rendering/raycast
 104 4
render.py
in shap_e/rendering/blender
 127 4
utils.py
in shap_e/models/nn
 16 3
sample.py
in shap_e/diffusion
 78 3
mc.py
in shap_e/rendering
 181 3
io.py
in shap_e/util
 28 2
query.py
in shap_e/models
 23 2
latent_diffusion.py
in shap_e/models/generation
 27 2
base.py
in shap_e/models/stf
 39 2
_utils.py
in shap_e/rendering/raycast
 12 2
configs.py
in shap_e/models
 153 1
Files With Long Lines (Top 1)

There is only one file with lines longer than 120 characters. In total, there are 9 long lines.

File# lines# units# long lines
download.py
in shap_e/models
 119 7 9
Correlations

File Size vs. Commits (all time): 7 points

shap_e/rendering/blender/blender_script.py x: 1 commits (all time) y: 507 lines of code shap_e/util/collections.py x: 1 commits (all time) y: 94 lines of code shap_e/rendering/mesh.py x: 2 commits (all time) y: 78 lines of code shap_e/models/stf/renderer.py x: 1 commits (all time) y: 421 lines of code shap_e/util/notebooks.py x: 1 commits (all time) y: 76 lines of code shap_e/models/download.py x: 1 commits (all time) y: 119 lines of code shap_e/rendering/blender/render.py x: 1 commits (all time) y: 127 lines of code
507.0
lines of code
  min: 76.0
  average: 203.14
  25th percentile: 78.0
  median: 119.0
  75th percentile: 421.0
  max: 507.0
0 2.0
commits (all time)
min: 1.0 | average: 1.14 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 2.0

File Size vs. Contributors (all time): 7 points

shap_e/rendering/blender/blender_script.py x: 1 contributors (all time) y: 507 lines of code shap_e/util/collections.py x: 1 contributors (all time) y: 94 lines of code shap_e/rendering/mesh.py x: 2 contributors (all time) y: 78 lines of code shap_e/models/stf/renderer.py x: 1 contributors (all time) y: 421 lines of code shap_e/util/notebooks.py x: 1 contributors (all time) y: 76 lines of code shap_e/models/download.py x: 1 contributors (all time) y: 119 lines of code shap_e/rendering/blender/render.py x: 1 contributors (all time) y: 127 lines of code
507.0
lines of code
  min: 76.0
  average: 203.14
  25th percentile: 78.0
  median: 119.0
  75th percentile: 421.0
  max: 507.0
0 2.0
contributors (all time)
min: 1.0 | average: 1.14 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 2.0

File Size vs. Commits (30 days): 0 points

No data for "commits (30d)" vs. "lines of code".

File Size vs. Contributors (30 days): 0 points

No data for "contributors (30d)" vs. "lines of code".

File Size vs. Commits (90 days): 0 points

No data for "commits (90d)" vs. "lines of code".

File Size vs. Contributors (90 days): 0 points

No data for "contributors (90d)" vs. "lines of code".

About This Analysis
  • File size measurements show the distribution of size of files.
  • Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
  • It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...