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Do not test VGAC with NN-SBAFs on github
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-6
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continuous_integration/environment.yaml

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@@ -2,15 +2,12 @@ name: test-environment
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channels:
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- conda-forge
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dependencies:
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- tensorflow
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- scikit-learn
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- sphinx
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- scipy
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- h5py
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- python-geotiepoints
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- matplotlib
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- mock
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- numpy<2.0.0
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- numpy
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- satpy>0.41.1
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- pyspectral
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- h5netcdf
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- pip:
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- trollsift
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- pygac
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- git+https://github.com/foua-pps/sbafs_ann@main

level1c4pps/vgac2pps_lib.py

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@@ -28,7 +28,6 @@
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import os
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import time
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from satpy.scene import Scene
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from sbafs_ann.convert_vgac import convert_to_vgac_with_nn
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from level1c4pps import (get_encoding, compose_filename,
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set_header_and_band_attrs_defaults,
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rename_latitude_longitude,
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def convert_to_noaa19_neural_network(scene, sbaf_version):
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"""Applies AVHRR SBAF to VGAC channels using NN approach"""
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from sbafs_ann.convert_vgac import convert_to_vgac_with_nn
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if sbaf_version in ["NN_v1", "NN_v2", "NN_v3", "NN_v4"]:
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day_cfg_file = SBAF[sbaf_version]['cfg_file_day']
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night_cfg_file = SBAF[sbaf_version]['cfg_file_night']

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