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deepcopy does not work for Projections #1336
Comments
Same problem here. Projections are wrong after deepcopy. |
Problem still exists. I'm trying to multiprocess to make a series of maps faster, but it's just non-stop errors. I get errors like this, although the errors change every time I run it and are non-repeatable.
|
Yes, I was faced with the same problem. The workaround I found is to initialise the cartopy objects within each task of the multiprocessing job. |
I'm a relative newbie at multiprocessing. Can you give an example? This is how I currently do it, with loops being my interable:
My "MakeStatePerCapitaPlot" function has these lines in them:
Which apparently doesn't count as initializing the cartopy objects. |
I took a look at this in #1491. Please feel free to install and test locally, and add feedback on the pull request. |
Just wanted to chime in: I'm seeing an entirely different error when I try and deepcopy a Cartopy projection: import cartopy
import copy
proj = cartopy.crs.CRS("3521")
proj_c = copy.deepcopy(proj) The code above will create a correct projection object for If anyone knows why this is the case, would love to hear it! Otherwise, I'll be implementing a workaround in my code for now |
Looking briefly at the code I can't see why this would be the case. Suggest opening up a specific issue for this (and providing cartopy version, Python version, and a traceback) - I can't see that it will be a major implementation to fix a problem if it exists. 👍 |
Description
copy.deepcopy
doesn't work for classes defined incartopy.crs
.It returns a copy with all parameters set to their default values. As a result these
projections are not usable with
pickle
ormultiprocessing
.Code to reproduce
Traceback
There is no traceback, code just silently does the wrong projections.
Full environment definition
Tested on two linux machines:
pip list
dask (0.17.5)
easybuild-easyblocks (3.9.1)
easybuild-easyconfigs (3.9.1)
easybuild-framework (3.9.1)
funcsigs (1.0.2)
kiwisolver (1.0.1)
Mako (1.0.8)
MarkupSafe (1.1.1)
matplotlib (2.2.2)
more-itertools (4.1.0)
mpi4py (2.0.0)
netCDF4 (1.4.1)
nose (1.3.7)
numpy (1.14.3)
Second machine, here I didn't manage to get a virtual environment with an
up-to-date proj4 version running, so it's the whole messy shared environment:
conda list
Name Version Build Channel
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anaconda custom py37_0
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anaconda-navigator 1.9.6 py37_0
anaconda-project 0.8.2 py_1 conda-forge
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astroid 2.1.0 py37_1000 conda-forge
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atk 2.25.90 hf2eb9ee_1001 conda-forge
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cftime 1.0.3.4 py37h3010b51_1000 conda-forge
chardet 3.0.4 py37_1003 conda-forge
click 7.0 py_0 conda-forge
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curl 7.63.0 h646f8bb_1000 conda-forge
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cython 0.29.3 py37hf484d3e_0 conda-forge
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dask 1.1.0 py_1 conda-forge
dask-core 1.1.0 py_0 conda-forge
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filelock 3.0.10 py_0 conda-forge
flask 1.0.2 py_2 conda-forge
flask-cors 3.0.7 py_0 conda-forge
fontconfig 2.13.1 h2176d3f_1000 conda-forge
freetype 2.9.1 h94bbf69_1005 conda-forge
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get_terminal_size 1.0.0 haa9412d_0
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giflib 5.1.4 h14c3975_1001 conda-forge
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gmp 6.1.2 hf484d3e_1000 conda-forge
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h5py 2.9.0 nompi_py37hf008753_1102 conda-forge
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hdf4 4.2.13 h9a582f1_1002 conda-forge
hdf5 1.10.4 nompi_h11e915b_1105 conda-forge
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intel-openmp 2019.1 144
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jpeg 9c h14c3975_1001 conda-forge
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libssh2 1.8.0 h1ad7b7a_1003 conda-forge
libstdcxx-ng 7.3.0 hdf63c60_0 conda-forge
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llvmlite 0.26.0 py37hdbcaa40_1000 conda-forge
locket 0.2.0 py_2 conda-forge
lxml 4.3.0 py37h23eabaa_1000 conda-forge
lz4 2.1.6 py37h7b6447c_0
lz4-c 1.8.3 hf484d3e_1001 conda-forge
lzo 2.10 h14c3975_1000 conda-forge
markupsafe 1.1.0 py37h14c3975_1000 conda-forge
matplotlib 3.0.2 py37h8a2030e_1001 conda-forge
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mccabe 0.6.1 py_1 conda-forge
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mkl 2019.1 144
mkl-service 1.1.2 py37he904b0f_5
mkl_fft 1.0.10 py37h14c3975_1 conda-forge
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mpc 1.1.0 hb20f59a_1006 conda-forge
mpfr 4.0.1 ha14ba45_1000 conda-forge
mpmath 1.1.0 py_0 conda-forge
msgpack-python 0.6.1 py37h6bb024c_0 conda-forge
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pip 19.0.1 py37_0 conda-forge
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ply 3.11 py_1 conda-forge
poppler 0.67.0 h2fc8fa2_1002 conda-forge
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proj4 5.2.0 h14c3975_1001 conda-forge
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prompt_toolkit 2.0.7 py_0 conda-forge
psutil 5.4.8 py37h14c3975_1000 conda-forge
pthread-stubs 0.4 h14c3975_1001 conda-forge
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py 1.7.0 py_0 conda-forge
py-lief 0.9.0 py37h7725739_2
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pycrypto 2.6.1 py37h14c3975_1002 conda-forge
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pyepsg 0.4.0 py_0 conda-forge
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python 3.7.1 hd21baee_1000 conda-forge
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pytz 2018.9 py_0 conda-forge
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wheel 0.32.3 py37_0 conda-forge
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