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Fix: Unsafe path handling and directory pollution in Time Series examples #2236

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Fix: Unsafe path handling and directory pollution in Time Series examples #2236

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6a3eb67
Fix: Replace broken Imgur links with stable Google and GitHub URLs
jaytiwarihub Jan 7, 2026
517acf9
Fix: Replace unstable Imgur links with Hugging Face and GCS assets
jaytiwarihub Jan 8, 2026
cc3b0d0
Fix: Unsafe path handling and cache pollution in Time Series examples
jaytiwarihub Jan 9, 2026
c92b925
Cleanup: Remove accidental files from Time Series PR
jaytiwarihub Jan 14, 2026
cd9bd85
Cleanup: Remove auto-generated guides and revert scripts
jaytiwarihub Jan 14, 2026
695463a
Cleanup: Force sync with official upstream master
jaytiwarihub Jan 14, 2026
d804d54
Docs: Sync notebooks and cleanup scripts for Timeseries PR
jaytiwarihub Jan 18, 2026
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920 changes: 920 additions & 0 deletions examples/timeseries/timeseries_traffic_forecasting.ipynb
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8 changes: 6 additions & 2 deletions examples/timeseries/timeseries_traffic_forecasting.py
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Original file line number Diff line number Diff line change
Expand Up @@ -83,9 +83,13 @@
"""

url = "https://github.com/VeritasYin/STGCN_IJCAI-18/raw/master/dataset/PeMSD7_Full.zip"
data_dir = keras.utils.get_file(origin=url, extract=True, archive_format="zip")
data_dir = data_dir.rstrip("PeMSD7_Full.zip")
# 1. Download and extract normally
zip_path = keras.utils.get_file(origin=url, extract=True, archive_format="zip")

# 2. FIX: Use os.path.dirname to safely get the folder where it was extracted
data_dir = os.path.dirname(zip_path)

# 3. Construct the paths to the inner files safely
route_distances = pd.read_csv(
os.path.join(data_dir, "PeMSD7_W_228.csv"), header=None
).to_numpy()
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