Update environment pins; fix demo notebook; and sync to Hugging Face

.github/workflows/ci.yml

@@ -0,0 +1,49 @@
+name: CI - Tests
+
+on:
+  push:
+    branches:
+      - main
+      - hug
+  pull_request:
+    branches:
+      - main
+      - hug
+
+jobs:
+  tests:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+          lfs: true
+
+      - name: Ensure Git LFS
+        run: |
+          git lfs install --local || true
+
+      - name: Setup conda environment from env.yml
+        uses: conda-incubator/setup-miniconda@v3
+        with:
+          environment-file: env.yml
+          activate-environment: lddata
+          auto-update-conda: true
+
+      - name: Install package into the conda env
+        shell: bash -l {0}
+        run: |
+          conda activate lddata
+          python -m pip install --upgrade pip
+          python -m pip install -e .
+          python -m pip install pytest
+
+      - name: Run tests
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        shell: bash -l {0}
+        run: |
+          conda activate lddata
+          python -m pytest -q

.github/workflows/sync-to-huggingface.yml

@@ -0,0 +1,64 @@
+name: Sync to HuggingFace Dataset
+
+on:
+  push:
+    branches:
+      - main
+      - hug
+    paths:
+      - 'pregenerated_pointsets/**'
+      - 'dnet/**'
+      - 'lattice/**'
+      - LICENSE.txt
+      - LDData Demo.ipynb
+      - LD_DATA.md
+      - README.md
+  workflow_dispatch:  # Allow manual triggering
+
+jobs:
+  sync-to-hf:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+          lfs: true
+
+      - name: Ensure Git LFS
+        run: |
+          git lfs install --local || true
+
+      - name: Setup conda environment from env.yml
+        uses: conda-incubator/setup-miniconda@v3
+        with:
+          environment-file: env.yml
+          activate-environment: lddata
+          auto-update-conda: true
+
+      - name: Install package into the conda env
+        shell: bash -l {0}
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install -e .
+
+      - name: Upload to HuggingFace
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: |
+          python upload.py \
+            --repo-id QMCSoftware/LDData \
+            --local-path .
+
+      - name: Report status
+        if: success()
+        run: |
+          echo "✅ Successfully synchronized pregenerated_pointsets to HuggingFace dataset"
+          echo "Dataset URL: https://huggingface.co/datasets/QMCSoftware/LDData"
+
+      - name: Report failure
+        if: failure()
+        run: |
+          echo "❌ Failed to synchronize to HuggingFace"
+          echo "Check the logs above for details"

.gitignore

@@ -1,4 +1,7 @@
 _ags/*
 *.DS_Store
 raw.githubusercontent.com/*
-*.ipynb-checkpoints
+*.ipynb-checkpoints
+/sc
+.vscode/settings.json
+*.pyc

LDData Demo.ipynb

@@ -62,8 +62,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/agsorok/miniconda3/envs/lddata/lib/python3.13/site-packages/qmcpy/discrete_distribution/lattice/lattice.py:257\n",
-      "\tParameterWarning: Non-randomized lattice sequence includes the origin\n"
+      "/Users/terrya/miniconda3/envs/lddata/lib/python3.13/site-packages/qmcpy/discrete_distribution/lattice/lattice.py:248: ParameterWarning: Without randomization, the first lattice point is the origin\n",
+      "  warnings.warn(\"Without randomization, the first lattice point is the origin\",ParameterWarning)\n"
      ]
     },
     {
@@ -130,8 +130,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/agsorok/miniconda3/envs/lddata/lib/python3.13/site-packages/qmcpy/discrete_distribution/digital_net_b2/digital_net_b2.py:389\n",
-      "\tParameterWarning: Non-randomized DigitalNetB2 sequence includes the origin\n"
+      "/Users/terrya/miniconda3/envs/lddata/lib/python3.13/site-packages/qmcpy/discrete_distribution/digital_net_b2/digital_net_b2.py:421: ParameterWarning: Without randomization, the first digtial net point is the origin\n",
+      "  warnings.warn(\"Without randomization, the first digtial net point is the origin\",ParameterWarning)\n"
      ]
     },
     {
@@ -302,14 +302,6 @@
     "generators = [qp.DigitalNetB2(d,randomize=False,generating_matrices=file) for file in files]\n",
     "plot_extensible_projections(generators,files,n=n)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b8ef5511",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

LDData/__init__.py

@@ -0,0 +1,40 @@
+"""LDData package shim.
+
+This package file exposes the top-level `upload.py` module as
+`LDData.upload` so tests and imports using `from LDData import upload`
+work without moving the original script.
+"""
+from __future__ import annotations
+
+import importlib.util
+from pathlib import Path
+import sys
+
+
+def _load_top_level_module(name: str, filename: Path):
+    spec = importlib.util.spec_from_file_location(name, str(filename))
+    module = importlib.util.module_from_spec(spec)
+    loader = spec.loader
+    assert loader is not None
+    loader.exec_module(module)
+    return module
+
+
+# Locate the repository root (parent of this package directory)
+_repo_root = Path(__file__).resolve().parent.parent
+# Path to the existing top-level upload.py
+_upload_path = _repo_root / "upload.py"
+
+if _upload_path.exists():
+    # Load the top-level upload.py as a module named 'LDData.upload'
+    _mod = _load_top_level_module("LDData.upload", _upload_path)
+    # Expose it in the package namespace
+    upload = _mod
+    __all__ = ["upload"]
+else:
+    # Fallback: create a minimal stub so imports fail with clearer message later
+    def _missing():
+        raise ImportError("upload.py not found at project root")
+
+    upload = _missing
+    __all__ = ["upload"]