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Atlite errors with ESRI:540060 reprojections and Fiji #301

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davide-f opened this issue Jun 8, 2023 · 7 comments
Open

Atlite errors with ESRI:540060 reprojections and Fiji #301

davide-f opened this issue Jun 8, 2023 · 7 comments
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priority: medium status: help wanted type: bug

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@davide-f
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davide-f commented Jun 8, 2023

Description

When using Atlite on regions across borders of [+-180 lon /+-90° lan] GDAL returns error rasterio._err.CPLE_NotSupportedError: Cannot find coordinate operations from 'ESRI:54009' to 'EPSG:4326'.

The error is reproducible executing the PyPSA-Earth workflow on "FJ".

Error Message

Had to go 1 folder(s) up.
INFO:__main__:correction_factor is set as 0.8855
INFO:__main__:Calculate landuse availabilities...
INFO:rasterio._env:GDAL signalled an error: err_no=1, msg='Too many points (529 out of 529) failed to transform, unable to compute output bounds.'
WARNING:rasterio._env:CPLE_AppDefined in Unable to compute source region for output window 2479,5616,2479,1873, skipping.
INFO:rasterio._env:GDAL signalled an error: err_no=1, msg='Too many points (529 out of 529) failed to transform, unable to compute output bounds.'
WARNING:rasterio._env:CPLE_AppDefined in Unable to compute source region for output window 2479,5616,2479,1873, skipping.
INFO:rasterio._env:GDAL signalled an error: err_no=1, msg='Too many points (529 out of 529) failed to transform, unable to compute output bounds.'
WARNING:rasterio._env:CPLE_AppDefined in Unable to compute source region for output window 0,6332,2730,3166, skipping.
INFO:rasterio._env:GDAL signalled an error: err_no=1, msg='Too many points (529 out of 529) failed to transform, unable to compute output bounds.'
WARNING:rasterio._env:CPLE_AppDefined in Unable to compute source region for output window 0,9498,2730,3167, skipping.
INFO:rasterio._env:GDAL signalled an error: err_no=1, msg='Too many points (529 out of 529) failed to transform, unable to compute output bounds.'
WARNING:rasterio._env:CPLE_AppDefined in Unable to compute source region for output window 2730,11081,2730,1584, skipping.
INFO:rasterio._env:GDAL signalled an error: err_no=1, msg='Too many points (529 out of 529) failed to transform, unable to compute output bounds.'
WARNING:rasterio._env:CPLE_AppDefined in Unable to compute source region for output window 0,6332,2730,3166, skipping.
INFO:rasterio._env:GDAL signalled an error: err_no=1, msg='Too many points (529 out of 529) failed to transform, unable to compute output bounds.'
WARNING:rasterio._env:CPLE_AppDefined in Unable to compute source region for output window 0,9498,2730,3167, skipping.
INFO:rasterio._env:GDAL signalled an error: err_no=1, msg='Too many points (529 out of 529) failed to transform, unable to compute output bounds.'
WARNING:rasterio._env:CPLE_AppDefined in Unable to compute source region for output window 2730,11081,2730,1584, skipping.
INFO:rasterio._env:GDAL signalled an error: err_no=6, msg="Cannot find coordinate operations from `ESRI:54009' to `EPSG:4326'"
multiprocessing.pool.RemoteTraceback: 
"""
Traceback (most recent call last):
  File "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/multiprocessing/pool.py", line 125, in worker
    result = (True, func(*args, **kwds))
  File "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/multiprocessing/pool.py", line 48, in mapstar
    return list(map(*args))
  File "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/site-packages/atlite/gis.py", line 673, in _process_func
    return shape_availability_reprojected(shapes.loc[[i]], *args)[0]
  File "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/site-packages/atlite/gis.py", line 377, in shape_availability_reprojected
    return rio.warp.reproject(
  File "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/site-packages/rasterio/env.py", line 401, in wrapper
    return f(*args, **kwds)
  File "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/site-packages/rasterio/warp.py", line 344, in reproject
    _reproject(
  File "rasterio/_warp.pyx", line 517, in rasterio._warp._reproject
  File "rasterio/_warp.pyx", line 489, in rasterio._warp._reproject
  File "rasterio/_err.pyx", line 221, in rasterio._err.exc_wrap_pointer
rasterio._err.CPLE_NotSupportedError: Cannot find coordinate operations from 'ESRI:54009' to 'EPSG:4326'
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/data/davidef/git_world/pypsa-earth/scripts/build_renewable_profiles.py", line 699, in <module>
    availability = cutout.availabilitymatrix(regions, excluder, **kwargs)
  File "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/site-packages/atlite/gis.py", line 748, in compute_availabilitymatrix
    availability = list(pool.map(_process_func, shapes.index))
  File "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/multiprocessing/pool.py", line 364, in map
    return self._map_async(func, iterable, mapstar, chunksize).get()
  File "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/multiprocessing/pool.py", line 771, in get
    raise self._value
rasterio._err.CPLE_NotSupportedError: Cannot find coordinate operations from 'ESRI:54009' to 'EPSG:4326'

Your Environment

  • The atlite version used:
  • How you installed atlite (conda, pip or github):
  • Operating System:
  • My environment:
    (output of `conda list`) ``` # Name Version Build Channel

_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
affine 2.4.0 pyhd8ed1ab_0 conda-forge
alsa-lib 1.2.8 h166bdaf_0 conda-forge
amply 0.1.5 pyhd8ed1ab_0 conda-forge
anyio 3.7.0 pyhd8ed1ab_1 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py38h0a891b7_3 conda-forge
asttokens 2.2.1 pyhd8ed1ab_0 conda-forge
async-lru 2.0.2 pyhd8ed1ab_0 conda-forge
atk-1.0 2.38.0 hd4edc92_1 conda-forge
atlite 0.2.11 pyhd8ed1ab_0 conda-forge
attr 2.5.1 h166bdaf_1 conda-forge
attrs 23.1.0 pyh71513ae_1 conda-forge
aws-c-auth 0.6.27 he072965_1 conda-forge
aws-c-cal 0.5.26 hf677bf3_1 conda-forge
aws-c-common 0.8.19 hd590300_0 conda-forge
aws-c-compression 0.2.16 hbad4bc6_7 conda-forge
aws-c-event-stream 0.2.20 hb4b372c_7 conda-forge
aws-c-http 0.7.7 h2632f9a_4 conda-forge
aws-c-io 0.13.21 h9fef7b8_5 conda-forge
aws-c-mqtt 0.8.11 h2282364_1 conda-forge
aws-c-s3 0.3.0 hcb5a9b2_2 conda-forge
aws-c-sdkutils 0.1.9 hbad4bc6_2 conda-forge
aws-checksums 0.1.14 hbad4bc6_7 conda-forge
aws-crt-cpp 0.20.2 he0fdcb3_0 conda-forge
aws-sdk-cpp 1.10.57 h059227d_13 conda-forge
babel 2.12.1 pyhd8ed1ab_1 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 pyhd8ed1ab_3 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
beautifulsoup4 4.12.2 pyha770c72_0 conda-forge
bleach 6.0.0 pyhd8ed1ab_0 conda-forge
blosc 1.21.4 h0f2a231_0 conda-forge
bokeh 3.1.1 pyhd8ed1ab_0 conda-forge
boltons 23.0.0 pyhd8ed1ab_0 conda-forge
boost-cpp 1.78.0 h6582d0a_3 conda-forge
bottleneck 1.3.7 py38h7e4f40d_0 conda-forge
branca 0.6.0 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 h166bdaf_8 conda-forge
brotli-bin 1.0.9 h166bdaf_8 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.19.1 hd590300_0 conda-forge
c-blosc2 2.9.2 hb4ffafa_0 conda-forge
ca-certificates 2023.5.7 hbcca054_0 conda-forge
cairo 1.16.0 h35add3b_1015 conda-forge
cartopy 0.21.1 py38h1abf878_1 conda-forge
cdsapi 0.6.1 pyhd8ed1ab_0 conda-forge
certifi 2023.5.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py38h4a40e3a_3 conda-forge
cfgv 3.3.1 pyhd8ed1ab_0 conda-forge
cfitsio 4.2.0 hd9d235c_0 conda-forge
cftime 1.6.2 py38h26c90d9_1 conda-forge
chaospy 4.3.13 pypi_0 pypi
charset-normalizer 3.1.0 pyhd8ed1ab_0 conda-forge
click 8.1.3 unix_pyhd8ed1ab_2 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
cloudpickle 2.2.1 pyhd8ed1ab_0 conda-forge
coin-or-cbc 2.10.10 h9002f0b_0 conda-forge
coin-or-cgl 0.60.7 h516709c_0 conda-forge
coin-or-clp 1.17.8 h1ee7a9c_0 conda-forge
coin-or-osi 0.108.8 ha2443b9_0 conda-forge
coin-or-utils 2.11.9 hee58242_0 conda-forge
coincbc 2.10.10 0_metapackage conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
colorcet 3.0.1 pyhd8ed1ab_0 conda-forge
comm 0.1.3 pyhd8ed1ab_0 conda-forge
conda 23.3.1 py38h578d9bd_0 conda-forge
conda-package-handling 2.0.2 pyh38be061_0 conda-forge
conda-package-streaming 0.8.0 pyhd8ed1ab_0 conda-forge
configargparse 1.5.3 pyhd8ed1ab_0 conda-forge
connection_pool 0.0.3 pyhd3deb0d_0 conda-forge
contextily 1.3.0 pyhd8ed1ab_0 conda-forge
contourpy 1.0.7 py38hfbd4bf9_0 conda-forge
country_converter 1.0.0 pyhd8ed1ab_1 conda-forge
countrycode 0.2 pypi_0 pypi
cryptography 41.0.1 py38hcdda232_0 conda-forge
curl 8.1.2 h409715c_0 conda-forge
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
cytoolz 0.12.0 py38h0a891b7_1 conda-forge
dask 2023.5.0 pyhd8ed1ab_0 conda-forge
dask-core 2023.5.0 pyhd8ed1ab_0 conda-forge
datashader 0.15.0 pyhd8ed1ab_0 conda-forge
datashape 0.5.4 py_1 conda-forge
datrie 0.8.2 py38h0a891b7_6 conda-forge
dbus 1.13.6 h5008d03_3 conda-forge
debugpy 1.6.7 py38h8dc9893_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
deprecation 2.1.0 pyh9f0ad1d_0 conda-forge
descartes 1.1.0 py_4 conda-forge
distlib 0.3.6 pyhd8ed1ab_0 conda-forge
distributed 2023.5.0 pyhd8ed1ab_0 conda-forge
docutils 0.20.1 py38h578d9bd_0 conda-forge
dpath 2.1.6 pyha770c72_0 conda-forge
earth-osm 0.1.0 pyhd8ed1ab_0 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
entsoe-py 0.5.8 pyhd8ed1ab_0 conda-forge
et_xmlfile 1.1.0 pyhd8ed1ab_0 conda-forge
exceptiongroup 1.1.1 pyhd8ed1ab_0 conda-forge
executing 1.2.0 pyhd8ed1ab_0 conda-forge
expat 2.5.0 hcb278e6_1 conda-forge
filelock 3.12.0 pyhd8ed1ab_0 conda-forge
fiona 1.9.4 py38h887bb71_0 conda-forge
flit-core 3.9.0 pyhd8ed1ab_0 conda-forge
fmt 9.1.0 h924138e_0 conda-forge
folium 0.14.0 pyhd8ed1ab_0 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.2 h14ed4e7_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.39.4 py38h01eb140_0 conda-forge
freetype 2.12.1 hca18f0e_1 conda-forge
freexl 1.0.6 h166bdaf_1 conda-forge
fribidi 1.0.10 h36c2ea0_0 conda-forge
fsspec 2023.5.0 pyh1a96a4e_0 conda-forge
future 0.18.3 pyhd8ed1ab_0 conda-forge
gdal 3.7.0 py38h9e9f257_0 conda-forge
gdk-pixbuf 2.42.10 h6b639ba_2 conda-forge
geographiclib 1.52 pyhd8ed1ab_0 conda-forge
geojson-rewind 1.0.2 pyhd8ed1ab_0 conda-forge
geopandas 0.13.1 pyhd8ed1ab_0 conda-forge
geopandas-base 0.13.1 pyha770c72_0 conda-forge
geopy 2.3.0 pyhd8ed1ab_0 conda-forge
geos 3.11.2 hcb278e6_0 conda-forge
geotiff 1.7.1 h480ec47_8 conda-forge
geoviews 1.10.0 pyhd8ed1ab_0 conda-forge
geoviews-core 1.10.0 pyha770c72_0 conda-forge
gettext 0.21.1 h27087fc_0 conda-forge
gflags 2.2.2 he1b5a44_1004 conda-forge
giflib 5.2.1 h0b41bf4_3 conda-forge
gitdb 4.0.10 pyhd8ed1ab_0 conda-forge
gitpython 3.1.31 pyhd8ed1ab_0 conda-forge
glib 2.76.3 hfc55251_0 conda-forge
glib-tools 2.76.3 hfc55251_0 conda-forge
glog 0.6.0 h6f12383_0 conda-forge
glpk 5.0 h445213a_0 conda-forge
gmp 6.2.1 h58526e2_0 conda-forge
googledrivedownloader 0.4 pypi_0 pypi
graphite2 1.3.13 h58526e2_1001 conda-forge
graphviz 8.0.5 h28d9a01_0 conda-forge
gst-plugins-base 1.22.0 h4243ec0_2 conda-forge
gstreamer 1.22.0 h25f0c4b_2 conda-forge
gtk2 2.24.33 h90689f9_2 conda-forge
gts 0.7.6 h64030ff_2 conda-forge
gurobi 9.5.0 py38_0 gurobi
harfbuzz 7.3.0 hdb3a94d_0 conda-forge
hdf4 4.2.15 h501b40f_6 conda-forge
hdf5 1.14.0 nompi_hb72d44e_103 conda-forge
highspy 1.5.3 pypi_0 pypi
holoviews 1.16.1 pyhd8ed1ab_0 conda-forge
humanfriendly 10.0 py38h578d9bd_4 conda-forge
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ipykernel 6.23.1 pyh210e3f2_0 conda-forge
ipython 8.12.2 pyh41d4057_0 conda-forge
jedi 0.18.2 pyhd8ed1ab_0 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
json-c 0.16 hc379101_0 conda-forge
json5 0.9.5 pyh9f0ad1d_0 conda-forge
jsonpatch 1.32 pyhd8ed1ab_0 conda-forge
jsonpointer 2.0 py_0 conda-forge
jsonschema 4.17.3 pyhd8ed1ab_0 conda-forge
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jupyter_client 8.2.0 pyhd8ed1ab_0 conda-forge
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jupyter_server 2.6.0 pyhd8ed1ab_0 conda-forge
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jupyterlab 4.0.1 pyhd8ed1ab_0 conda-forge
jupyterlab_pygments 0.2.2 pyhd8ed1ab_0 conda-forge
jupyterlab_server 2.22.1 pyhd8ed1ab_0 conda-forge
kealib 1.5.1 h3845be2_3 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.4 py38h43d8883_1 conda-forge
krb5 1.20.1 h81ceb04_0 conda-forge
lame 3.100 h166bdaf_1003 conda-forge
lcms2 2.15 haa2dc70_1 conda-forge
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
lerc 4.0.0 h27087fc_0 conda-forge
libabseil 20230125.2 cxx17_h59595ed_2 conda-forge
libaec 1.0.6 hcb278e6_1 conda-forge
libarchive 3.6.2 h3d51595_0 conda-forge
libarrow 12.0.0 hed73b3e_6_cpu conda-forge
libblas 3.9.0 17_linux64_openblas conda-forge
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libcap 2.67 he9d0100_0 conda-forge
libcblas 3.9.0 17_linux64_openblas conda-forge
libclang 16.0.3 default_h1cdf331_2 conda-forge
libclang13 16.0.3 default_h4d60ac6_2 conda-forge
libcrc32c 1.1.2 h9c3ff4c_0 conda-forge
libcups 2.3.3 h36d4200_3 conda-forge
libcurl 8.1.2 h409715c_0 conda-forge
libdeflate 1.18 h0b41bf4_0 conda-forge
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libevent 2.1.12 hf998b51_1 conda-forge
libexpat 2.5.0 hcb278e6_1 conda-forge
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libpng 1.6.39 h753d276_0 conda-forge
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libprotobuf 3.21.12 h3eb15da_0 conda-forge
librsvg 2.56.0 h5cef280_0 conda-forge
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libsndfile 1.2.0 hb75c966_0 conda-forge
libsodium 1.0.18 h36c2ea0_1 conda-forge
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libspatialindex 1.9.3 h9c3ff4c_4 conda-forge
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libssh2 1.11.0 h0841786_0 conda-forge
libstdcxx-ng 13.1.0 hfd8a6a1_0 conda-forge
libsystemd0 253 h8c4010b_1 conda-forge
libthrift 0.18.1 h8fd135c_2 conda-forge
libtiff 4.5.0 ha587672_6 conda-forge
libtool 2.4.7 h27087fc_0 conda-forge
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libwebp 1.3.0 hb47c5f0_0 conda-forge
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libxcb 1.13 h7f98852_1004 conda-forge
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libxml2 2.10.4 hfdac1af_0 conda-forge
libxslt 1.1.37 h873f0b0_0 conda-forge
libzip 1.9.2 hc929e4a_1 conda-forge
libzlib 1.2.13 h166bdaf_4 conda-forge
linkify-it-py 2.0.0 pyhd8ed1ab_0 conda-forge
linopy 0.1.5 pypi_0 pypi
llvmlite 0.40.0 py38h94a1851_0 conda-forge
locket 1.0.0 pyhd8ed1ab_0 conda-forge
lxml 4.9.2 py38h215a2d7_0 conda-forge
lz4 4.3.2 py38hd012fdc_0 conda-forge
lz4-c 1.9.4 hcb278e6_0 conda-forge
lzo 2.10 h516909a_1000 conda-forge
mamba 1.4.2 py38haad2881_0 conda-forge
mapclassify 2.5.0 pyhd8ed1ab_1 conda-forge
markdown 3.4.3 pyhd8ed1ab_0 conda-forge
markdown-it-py 2.2.0 pyhd8ed1ab_0 conda-forge
markupsafe 2.1.3 py38h01eb140_0 conda-forge
matplotlib 3.5.2 py38h578d9bd_1 conda-forge
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zstd 1.5.2 h3eb15da_6 conda-forge

  ```
</details>
@davide-f
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davide-f commented Jun 8, 2023

This issue does not appear with the environment with gdal <= 3.6 (3.5.2).

@davide-f
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The issue relates to offshore wind time series (ac or dc) for a geometry that crosses the +-180 degrees.

@euronion
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So it only affects geometries crossing +/-180° ?

@euronion
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If you mention it works with gdal <= 3.6, which rasterio is installed with that gdal version? Might be rasterio related.

@ollie-bell
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Are there now any workarounds to building cutouts which cross +/- 180?

@euronion
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Not that I am aware of. Does the issue still persist for you? Or is the problem outdated?

@davide-f
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davide-f commented Jul 4, 2024

This issue still persists. The workaround I found is avoid shapes that are multipolygons crossing the antimeridian.
It would be best to split them in two with the current implementation.

A long-term solution may be to change the procedure how atlite works and avoid the image cropping completely.
By exploiting a mapping function between the cutout and the geometry, it would be possible to sum only the numbers that lay wihin the region, without the need to perform the geometry operations.
In PyPSA-Earth we have an implementation for computing the population and could be adapted for atlite.
See: https://github.com/pypsa-meets-earth/pypsa-earth/blob/c1d4b993dc52d1f22a46efab983bcef5289afb95/scripts/build_shapes.py#L1114

That may solve the issue completely, but it requires effort

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