Regenerate data from bf1ebab2

README.md

@@ -60,8 +60,13 @@ Code that generates this dataset and trains a DeepONet on it:
   trapezoid rule on that grid (error about 1e-6), then subsampled to the
   100-point sensor grid.
 - Seed 0 for train, seed 0+1 for test.
-- Produced by `scripts/generate_data.py` at commit `114fccdc6e9c6950f192a9f63075cf210bbcbcff` of the
+- Produced by `scripts/generate_data.py` at commit `bf1ebab27e006e973715aa343437793bc2e78cf8` of the
   repository above. `metadata.json` in this repo records all parameters.
+- Reproducibility: the same seed regenerates these files byte-for-byte on the
+  same numpy/LAPACK build (eigenvector signs are canonicalized, so other builds
+  should agree to floating-point rounding); if not, the regenerated data is
+  equal in distribution. `metadata.json` records the numpy version and platform
+  used.
 
 ## Usage
 

metadata.json

@@ -114,5 +114,8 @@
   "fine_grid_size": 991,
   "generator": "scripts/generate_data.py",
   "github": "https://github.com/tha2002-tech/deeponet-ode-demo",
-  "git_commit": "114fccdc6e9c6950f192a9f63075cf210bbcbcff"
+  "git_commit": "bf1ebab27e006e973715aa343437793bc2e78cf8",
+  "numpy_version": "2.3.5",
+  "python_version": "3.13.9",
+  "platform": "Windows-11-10.0.26300-SP0"
 }

test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f7cb74bd6fe55cbd35c222edaec09fb2c5953706e1e9f1c49423153b771af04f
-size 574140
+oid sha256:707fa740d136a3b014089d45d1a8e37031a83f195e6af7095fed101c2a147f1c
+size 574185

train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:719d4b4654ae89db76fe7dec1eae348e9836b95b7e7d7623bc13d5f9443ccea3
-size 2379314
+oid sha256:0f65bd6f7337bf03a36e4455c949b85fa9a5c311853a874caa54145af4f789dd
+size 2379079