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Switch to debian:trixie-slim for base container #441

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06589db
Switch to debian:trixie-slim for base container
stelliom Feb 3, 2026
039eab0
Deploy bump-debian-version
stelliom Feb 3, 2026
c0fcb9f
bugfix cdo selname
sbrand-dwd Feb 6, 2026
82db169
get rid of numpy warning
sbrand-dwd Feb 6, 2026
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1 change: 1 addition & 0 deletions .github/workflows/upload_to_dockerhub.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@ on:
push:
branches:
- master
- bump-debian-version
tags:
- '*'

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2 changes: 1 addition & 1 deletion Dockerfile.base
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
# Use the latest Debian image
FROM debian:bookworm-slim
FROM debian:trixie-slim

# Set environment variables to avoid interactive prompts during package installation
ENV DEBIAN_FRONTEND=noninteractive
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2 changes: 1 addition & 1 deletion python/extpar_cru_to_buffer.py
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Expand Up @@ -210,7 +210,7 @@
f'extract HSURF from {raw_data_tclim_fine} '
f'--> {step2_cdo}')

utils.launch_shell('cdo', lock, '-f', 'nc4', '-P', omp, '-selname,HSURF,',
utils.launch_shell('cdo', lock, '-f', 'nc4', '-P', omp, '-selname,HSURF',
raw_data_tclim_fine, step2_cdo)

logging.info('STEP 3: '
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7 changes: 4 additions & 3 deletions python/extpar_emiss_to_buffer.py
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Expand Up @@ -201,9 +201,10 @@
emiss_mrat = np.empty((12, ke_tot, je_tot, ie_tot), dtype=mrat_meta.type)

for t in np.arange(12):
emiss_mrat[t, :, :, :] = np.divide(emiss[t, :, :, :],
emiss_max[:, :, :],
where=emiss_max[:, :, :] != 0.0)
np.divide(emiss[t, :, :, :],
emiss_max[:, :, :],
out=emiss_mrat[t, :, :, :],
where=emiss_max[:, :, :] != 0.0)
emiss_mrat[t, :, :, :] = np.where(emiss_max[:, :, :] <= 0.0, -1.0,
emiss_mrat[t, :, :, :])

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7 changes: 4 additions & 3 deletions python/extpar_ndvi_to_buffer.py
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Expand Up @@ -173,9 +173,10 @@
ndvi_mrat = np.empty((12, ke_tot, je_tot, ie_tot), dtype=mrat_meta.type)

for t in np.arange(12):
ndvi_mrat[t, :, :, :] = np.divide(ndvi[t, :, :, :],
ndvi_max[:, :, :],
where=ndvi_max[:, :, :] != 0.0)
np.divide(ndvi[t, :, :, :],
ndvi_max[:, :, :],
out=ndvi_mrat[t, :, :, :],
where=ndvi_max[:, :, :] != 0.0)
ndvi_mrat[t, :, :, :] = np.where(ndvi_max[:, :, :] <= 0.0, -1.0,
ndvi_mrat[t, :, :, :])

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