Closed ochsnerd closed 4 years ago
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.
---------------------------------------------------------------------------
RemoteTraceback Traceback (most recent call last)
RemoteTraceback:
"""
Traceback (most recent call last):
File "/Users/Otter/anaconda3/lib/python3.7/site-packages/shapely/predicates.py", line 15, in __call__
return self.fn(this._geom, other._geom, *args)
File "/Users/Otter/anaconda3/lib/python3.7/site-packages/shapely/geos.py", line 548, in errcheck_predicate
raise PredicateError("Failed to evaluate %s" % repr(func))
shapely.errors.PredicateError: Failed to evaluate <_FuncPtr object at 0xb1c0ef460>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/Otter/anaconda3/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/Users/Otter/anaconda3/lib/python3.7/multiprocessing/pool.py", line 44, in mapstar
return list(map(*args))
File "<ipython-input-15-83b2af84070c>", line 78, in MakePerCapitaMap
ax.add_geometries([record.geometry],plottingprojection,lw=1,edgecolor='k',facecolor=lightgray,zorder=1)
File "/Users/Otter/anaconda3/lib/python3.7/site-packages/cartopy/io/shapereader.py", line 179, in geometry
self._shape)
File "/Users/Otter/anaconda3/lib/python3.7/site-packages/cartopy/io/shapereader.py", line 113, in _make_geometry
geometry = geometry_factory(shape)
File "/Users/Otter/anaconda3/lib/python3.7/site-packages/cartopy/io/shapereader.py", line 101, in _create_polygon
if outer_polygon.contains(inner_polygon):
File "/Users/Otter/anaconda3/lib/python3.7/site-packages/shapely/geometry/base.py", line 691, in contains
return bool(self.impl['contains'](self, other))
File "/Users/Otter/anaconda3/lib/python3.7/site-packages/shapely/predicates.py", line 18, in __call__
self._check_topology(err, this, other)
File "/Users/Otter/anaconda3/lib/python3.7/site-packages/shapely/topology.py", line 38, in _check_topology
self.fn.__name__, repr(geom)))
shapely.errors.TopologicalError: The operation 'GEOSContains_r' could not be performed. Likely cause is invalidity of the geometry <shapely.geometry.polygon.Polygon object at 0xb1c6a9810>
"""
The above exception was the direct cause of the following exception:
TopologicalError Traceback (most recent call last)
<ipython-input-18-2b82528bbac5> in <module>
4 numprocesses=4
5 pool=Pool(processes=numprocesses)
----> 6 pool.map(MakePerCapitaMap,loops[:2])
7 pool.close()
8 print(TimeElapsed(starttime,time.time()))
~/anaconda3/lib/python3.7/multiprocessing/pool.py in map(self, func, iterable, chunksize)
266 in a list that is returned.
267 '''
--> 268 return self._map_async(func, iterable, mapstar, chunksize).get()
269
270 def starmap(self, func, iterable, chunksize=None):
~/anaconda3/lib/python3.7/multiprocessing/pool.py in get(self, timeout)
655 return self._value
656 else:
--> 657 raise self._value
658
659 def _set(self, i, obj):
TopologicalError: The operation 'GEOSContains_r' could not be performed. Likely cause is invalidity of the geometry <shapely.geometry.polygon.Polygon object at 0xb1c6a9810>
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.
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:
from multiprocessing import Pool
import multiprocessing as mp
numprocesses=4
pool=Pool(processes=numprocesses)
results=pool.map(MakeStatePerCapitaPlot,loops)
pool.close()
My "MakeStatePerCapitaPlot" function has these lines in them:
figureprojection=ccrs.PlateCarree()
plottingprojection=ccrs.PlateCarree()
fig=plt.figure(figsize=(24,12))
ax=fig.add_subplot(1,1,1,projection=figureprojection)
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 proj
, but will fail to create proj_c
with the following error:
TypeError: CRS.__init__() missing 1 required positional argument: 'proj4_params'
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. :+1:
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 withpickle
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 _ipyw_jlab_nb_ext_conf 0.1.0 py37_0 affine 2.2.2 py_0 conda-forge alabaster 0.7.12 py_0 conda-forge amrs 2.0 pypi_0 pypi anaconda custom py37_0 anaconda-client 1.7.1 py_0 conda-forge anaconda-navigator 1.9.6 py37_0 anaconda-project 0.8.2 py_1 conda-forge asn1crypto 0.24.0 py37_1003 conda-forge astroid 2.1.0 py37_1000 conda-forge astropy 3.1.1 py37h14c3975_1000 conda-forge atk 2.25.90 hf2eb9ee_1001 conda-forge atomicwrites 1.2.1 py_0 conda-forge attrs 18.2.0 py_0 conda-forge babel 2.6.0 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