Closed dkent287 closed 3 years ago
Hi @dkent-trimac,
Can you please post here an example code that I can use to try to reproduce this issue?
The code below reproduces the problem. The code runs fine on 5.0.3, but not on 5.1.4. For 5.1.4, it seems that passing in the sklearn object is causing the problem - if you uncomment ' # helper[0] = 'other string', then the code also works fine in 5.1.4
import pandas as pd
from joblib import Parallel, delayed
from multiprocessing import cpu_count
from sklearn.preprocessing import PowerTransformer, MinMaxScaler
series = [100000,102000,67000,67000,26000,145000,139000,133000,64000,128000]
yj = PowerTransformer(method='yeo-johnson', standardize = False)
series = pd.DataFrame(series)
yj = yj.fit(series)
# Vars
helper = []
helper.append(yj)
helper.append('random string')
# helper[0] = 'other string'
my_list = range(6,14)
squares = []
# Function 2
def fun2(j, **kwargs):
x = kwargs['x']
return j*x
# Function to parallelize
def find_square(i, **kwargs):
helper = kwargs['helper']
helper[0] = 'hello'
y = fun2(i,**kwargs)
return [y, helper]
# With parallel processing
squares = Parallel(n_jobs=cpu_count(),verbose=50)(delayed(find_square)(i, helper = helper,
x = 7) for i in my_list)
Works for me on Linux.
Could it be just a Windows 10 problem then?
@dalthviz, could you test @dkent-trimac example on Windows?
These are some resources to deal with this problem:
https://joblib.readthedocs.io/en/latest/auto_examples/serialization_and_wrappers.html https://stackoverflow.com/questions/56154654/a-task-failed-to-un-serialize
These are some resources to deal with this problem:
https://joblib.readthedocs.io/en/latest/auto_examples/serialization_and_wrappers.html https://stackoverflow.com/questions/56154654/a-task-failed-to-un-serialize
Thanks - but am interested to see if you can replicate the problem on your side in Windows 10.
@ccordoba12 I was able to run the code provided by @dkent-trimac . This is the output that I'm seeing:
However for the test I used the Windows installer and an environment with sklearn
, pandas
and other libraries:
@dkent-trimac is there any difference between the packages I have in my testing env and your setup related with joblib
?
@dkent-trimac is there any difference between the packages I have in my testing env and your setup related with
joblib
?
joblib and scikit-learn are the same. Are there any other I should check?
Does your test run ok if you run the script within Spyder (5.1.4) as opposed to running a file from the command line?
joblib and scikit-learn are the same. Are there any other I should check?
I don't think so but could you share with us the list of packages your using when the code fails? Also, maybe doing a diff of the packages list between the install with Spyder 5.0.3 and the one with Spyder 5.1.4 could give us some clues.
Does your test run ok if you run the script within Spyder (5.1.4) as opposed to running a file from the command line?
I'm running the script within Spyder with a file open and the Run file
functionality (the green arrow or F5). How are you running the code in your case?
@dkent-trimac let us know!
I am running the code the same way as you - but I get the output below.
(Happy to close this if we have done the doable here - thanks for having a look.)
Traceback (most recent call last):
File "C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\joblib\externals\loky\process_executor.py", line 404, in _process_worker
call_item = call_queue.get(block=True, timeout=timeout)
File "C:\Users\dkent\Anaconda3\envs\env2\lib\multiprocessing\queues.py", line 116, in get
return _ForkingPickler.loads(res)
File "C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\sklearn\__init__.py", line 82, in <module>
from .base import clone
File "C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\sklearn\base.py", line 17, in <module>
from .utils import _IS_32BIT
File "C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\sklearn\utils\__init__.py", line 20, in <module>
from scipy.sparse import issparse
File "C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\scipy\__init__.py", line 136, in <module>
from . import _distributor_init
File "C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\scipy\_distributor_init.py", line 59, in <module>
WinDLL(os.path.abspath(filename))
File "C:\Users\dkent\Anaconda3\envs\env2\lib\ctypes\__init__.py", line 373, in __init__
self._handle = _dlopen(self._name, mode)
FileNotFoundError: Could not find module 'C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\scipy\.libs\libbanded5x.UGR6EUQPIWHQH7SL62IWIXB5545VDNQZ.gfortran-win_amd64.dll' (or one of its dependencies). Try using the full path with constructor syntax.
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\dkent\AppData\Local\Temp/ipykernel_96/3242259911.py", line 34, in <module>
squares = Parallel(n_jobs=cpu_count(),verbose=50)(delayed(find_square)(i, helper = helper,
File "C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\joblib\parallel.py", line 1054, in __call__
self.retrieve()
File "C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\joblib\parallel.py", line 933, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\joblib\_parallel_backends.py", line 542, in wrap_future_result
return future.result(timeout=timeout)
File "C:\Users\dkent\Anaconda3\envs\env2\lib\concurrent\futures\_base.py", line 444, in result
return self.__get_result()
File "C:\Users\dkent\Anaconda3\envs\env2\lib\concurrent\futures\_base.py", line 389, in __get_result
raise self._exception
BrokenProcessPool: A task has failed to un-serialize. Please ensure that the arguments of the function are all picklable.
Sending my list of packages in case that might be helpful.
alabaster 0.7.12 py_0 conda-forge
anaconda-client 1.7.2 pyhd8ed1ab_1 conda-forge
anaconda-project 0.10.1 pyhd8ed1ab_0 conda-forge
anyio 3.3.0 py38haa244fe_0 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argh 0.26.2 pyh9f0ad1d_1002 conda-forge
argon2-cffi 20.1.0 py38h294d835_2 conda-forge
arrow 1.1.1 pyhd8ed1ab_0 conda-forge
arviz 0.11.2 pyhd8ed1ab_1 conda-forge
asn1crypto 1.4.0 pyh9f0ad1d_0 conda-forge
astroid 2.7.3 py38haa244fe_0 conda-forge
astropy 4.3.1 py38h294d835_0 conda-forge
async_generator 1.10 py_0 conda-forge
atomicwrites 1.4.0 pyh9f0ad1d_0 conda-forge
attrs 21.2.0 pyhd8ed1ab_0 conda-forge
autopep8 1.5.5 pyh44b312d_0 conda-forge
babel 2.9.1 pyh44b312d_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
backports.shutil_get_terminal_size 1.0.0 py_3 conda-forge
bcrypt 3.2.0 py38h294d835_1 conda-forge
beautifulsoup4 4.9.3 pyhb0f4dca_0 conda-forge
binaryornot 0.4.4 py_1 conda-forge
bitarray 2.3.2 py38h294d835_0 conda-forge
bkcharts 0.2 py38_0
black 21.8b0 pyhd8ed1ab_0 conda-forge
blas 1.0 mkl
bleach 4.1.0 pyhd8ed1ab_0 conda-forge
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bokeh 2.3.3 py38haa244fe_0 conda-forge
boto 2.49.0 py_0 conda-forge
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click 8.0.1 py38haa244fe_0 conda-forge
cloudpickle 1.6.0 py_0 conda-forge
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m2w64-make 4.1.2351.a80a8b8 2 conda-forge
m2w64-mpc 1.0.3 3 conda-forge
m2w64-mpfr 3.1.4 4 conda-forge
m2w64-pkg-config 0.29.1 2 conda-forge
m2w64-toolchain 5.3.0 7 conda-forge
m2w64-toolchain_win-64 2.4.0 0 conda-forge
m2w64-tools-git 5.0.0.4592.90b8472 2 conda-forge
m2w64-windows-default-manifest 6.4 3 conda-forge
m2w64-winpthreads-git 5.0.0.4634.697f757 2 conda-forge
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matplotlib 3.4.3 py38haa244fe_0 conda-forge
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matplotlib-inline 0.1.2 pyhd8ed1ab_2 conda-forge
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msys2-conda-epoch 20160418 1 conda-forge
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pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
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pillow 8.3.1 py38h794f750_0 conda-forge
pip 21.2.4 pyhd8ed1ab_0 conda-forge
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ply 3.11 py_1 conda-forge
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py 1.10.0 pyhd3deb0d_0 conda-forge
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pygments 2.10.0 pyhd8ed1ab_0 conda-forge
pylint 2.10.2 pyhd8ed1ab_0 conda-forge
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pyls-spyder 0.3.2 pyhd3eb1b0_0
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pynacl 1.4.0 py38h31c79cd_2 conda-forge
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pyopenssl 20.0.1 pyhd8ed1ab_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyqt 5.12.3 py38haa244fe_7 conda-forge
pyqt-impl 5.12.3 py38h885f38d_7 conda-forge
pyqt5-sip 4.19.18 py38h885f38d_7 conda-forge
pyqtchart 5.12 py38h885f38d_7 conda-forge
pyqtwebengine 5.12.1 py38h885f38d_7 conda-forge
pyreadline 2.1 py38haa244fe_1003 conda-forge
pyrsistent 0.17.3 py38h294d835_2 conda-forge
pysocks 1.7.1 py38haa244fe_3 conda-forge
pystan 2.19.1.1 py38h02adce6_3 conda-forge
pytables 3.6.1 py38h7deab4d_4 conda-forge
pytest 6.2.5 py38haa244fe_0 conda-forge
python 3.8.10 h7840368_1_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-jsonrpc-server 0.4.0 pyh9f0ad1d_0 conda-forge
python-language-server 0.36.2 pyhd8ed1ab_0 conda-forge
python-libarchive-c 3.1 py38haa244fe_0 conda-forge
python-slugify 5.0.2 pyhd8ed1ab_0 conda-forge
python_abi 3.8 2_cp38 conda-forge
pytz 2021.1 pyhd8ed1ab_0 conda-forge
pywavelets 1.1.1 py38h347fdf6_3 conda-forge
pywin32 301 py38h294d835_0 conda-forge
pywin32-ctypes 0.2.0 py38haa244fe_1003 conda-forge
pywinpty 1.1.4 py38hd3f51b4_0 conda-forge
pyyaml 5.4.1 py38h294d835_1 conda-forge
pyzmq 22.2.1 py38h09162b1_0 conda-forge
qdarkstyle 3.0.2 pyhd8ed1ab_0 conda-forge
qstylizer 0.2.1 pyhd8ed1ab_0 conda-forge
qt 5.12.9 h5909a2a_4 conda-forge
qtawesome 1.0.3 pyhd8ed1ab_0 conda-forge
qtconsole 5.1.1 pyhd8ed1ab_0 conda-forge
qtpy 1.10.0 pyhd8ed1ab_0 conda-forge
regex 2021.8.28 py38h294d835_0 conda-forge
requests 2.26.0 pyhd8ed1ab_0 conda-forge
requests-unixsocket 0.2.0 py_0 conda-forge
ripgrep 13.0.0 h7f3b576_0 conda-forge
rope 0.19.0 pyhd8ed1ab_0 conda-forge
rtree 0.9.7 py38h8b54edf_2 conda-forge
ruamel_yaml 0.15.80 py38h294d835_1004 conda-forge
scikit-image 0.18.3 py38h5d928e2_0 conda-forge
scikit-learn 0.24.2 py38hb60ee80_1 conda-forge
scipy 1.7.1 py38ha1292f7_0 conda-forge
seaborn 0.11.2 hd8ed1ab_0 conda-forge
seaborn-base 0.11.2 pyhd8ed1ab_0 conda-forge
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
setuptools 57.4.0 py38haa244fe_0 conda-forge
simplegeneric 0.8.1 py_1 conda-forge
singledispatch 3.6.1 pyh44b312d_0 conda-forge
sip 4.19.25 py38h885f38d_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
snappy 1.1.8 ha925a31_3 conda-forge
sniffio 1.2.0 py38haa244fe_1 conda-forge
snowballstemmer 2.1.0 pyhd8ed1ab_0 conda-forge
sortedcollections 2.1.0 pyhd8ed1ab_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.0.1 py_1 conda-forge
sphinx 4.1.2 pyh6c4a22f_1 conda-forge
sphinxcontrib 1.0 py38_1
sphinxcontrib-applehelp 1.0.2 py_0 conda-forge
sphinxcontrib-devhelp 1.0.2 py_0 conda-forge
sphinxcontrib-htmlhelp 2.0.0 pyhd8ed1ab_0 conda-forge
sphinxcontrib-jsmath 1.0.1 py_0 conda-forge
sphinxcontrib-qthelp 1.0.3 py_0 conda-forge
sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_0 conda-forge
sphinxcontrib-websupport 1.2.4 pyh9f0ad1d_0 conda-forge
spyder-kernels 2.1.1 py38haa244fe_0 conda-forge
sqlalchemy 1.4.23 py38h294d835_0 conda-forge
sqlite 3.36.0 h8ffe710_0 conda-forge
statsmodels 0.12.2 py38h347fdf6_0 conda-forge
sympy 1.8 py38haa244fe_0 conda-forge
tbb 2021.3.0 h2d74725_0 conda-forge
tblib 1.7.0 pyhd8ed1ab_0 conda-forge
terminado 0.11.1 py38haa244fe_0 conda-forge
testpath 0.5.0 pyhd8ed1ab_0 conda-forge
text-unidecode 1.3 py_0 conda-forge
textdistance 4.2.1 pyhd8ed1ab_0 conda-forge
threadpoolctl 2.2.0 pyh8a188c0_0 conda-forge
three-merge 0.1.1 pyh9f0ad1d_0 conda-forge
tifffile 2021.8.30 pyhd8ed1ab_0 conda-forge
tinycss2 1.1.0 pyhd8ed1ab_0 conda-forge
tk 8.6.11 h8ffe710_1 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 1.2.1 pyhd8ed1ab_0 conda-forge
toolz 0.11.1 py_0 conda-forge
tornado 6.1 py38h294d835_1 conda-forge
tqdm 4.62.2 pyhd8ed1ab_0 conda-forge
tradingeconomics 0.2.979 py38_0 tradingeconomics
traitlets 5.1.0 pyhd8ed1ab_0 conda-forge
typed-ast 1.4.3 py38h294d835_0 conda-forge
typing_extensions 3.10.0.0 pyha770c72_0 conda-forge
ucrt 10.0.20348.0 h57928b3_0 conda-forge
ujson 4.0.2 py38h885f38d_0 conda-forge
unicodecsv 0.14.1 py_1 conda-forge
unidecode 1.2.0 pyhd8ed1ab_0 conda-forge
urllib3 1.26.6 pyhd8ed1ab_0 conda-forge
vc 14.2 hb210afc_5 conda-forge
vs2015_runtime 14.29.30037 h902a5da_5 conda-forge
watchdog 2.1.5 py38haa244fe_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 0.57.0 py38haa244fe_4 conda-forge
werkzeug 2.0.1 pyhd8ed1ab_0 conda-forge
wheel 0.37.0 pyhd8ed1ab_1 conda-forge
widgetsnbextension 3.5.1 py38haa244fe_4 conda-forge
win_inet_pton 1.1.0 py38haa244fe_2 conda-forge
win_unicode_console 0.5 py38h32f6830_1001 conda-forge
wincertstore 0.2 py38haa244fe_1006 conda-forge
winpty 0.4.3 4 conda-forge
wrapt 1.12.1 py38h294d835_3 conda-forge
xarray 0.19.0 pyhd8ed1ab_1 conda-forge
xlrd 2.0.1 pyhd8ed1ab_3 conda-forge
xlsxwriter 3.0.1 pyhd8ed1ab_0 conda-forge
xlwings 0.24.9 py38haa244fe_0 conda-forge
xlwt 1.3.0 py_1 conda-forge
xmltodict 0.12.0 py_0 conda-forge
xz 5.2.5 h62dcd97_1 conda-forge
yaml 0.2.5 he774522_0 conda-forge
yapf 0.31.0 pyhd8ed1ab_0 conda-forge
zeromq 4.3.4 h0e60522_1 conda-forge
zfp 0.5.5 h0e60522_5 conda-forge
zict 2.0.0 py_0 conda-forge
zipp 3.5.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h62dcd97_1010 conda-forge
zope 1.0 py38_1
zope.event 4.5.0 pyh9f0ad1d_0 conda-forge
zope.interface 5.4.0 py38h294d835_0 conda-forge
zstd 1.5.0 h6255e5f_0 conda-forge
I don't think so but could you share with us the list of packages your using when the code fails? Also, maybe doing a diff of the packages list between the install with Spyder 5.0.3 and the one with Spyder 5.1.4 could give us some clues.
Here is the diff (i.e. diff list1 list2)
< # packages in environment at C:\Users\dkent\Anaconda3\envs\env3:
---
> # packages in environment at C:\Users\dkent\Anaconda3\envs\env2:
> _ipyw_jlab_nb_ext_conf 0.1.0 py38_0
4a6,9
> anaconda-client 1.7.2 pyhd8ed1ab_1 conda-forge
> anaconda-project 0.10.1 pyhd8ed1ab_0 conda-forge
> anyio 3.3.0 py38haa244fe_0 conda-forge
> appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
5a11
> argon2-cffi 20.1.0 py38h294d835_2 conda-forge
7a14
> asn1crypto 1.4.0 pyh9f0ad1d_0 conda-forge
8a16
> astropy 4.3.1 py38h294d835_0 conda-forge
12c20
< autopep8 1.5.6 pyhd8ed1ab_0 conda-forge
---
> autopep8 1.5.5 pyh44b312d_0 conda-forge
16a25
> backports.shutil_get_terminal_size 1.0.0 py_3 conda-forge
17a27
> beautifulsoup4 4.9.3 pyhb0f4dca_0 conda-forge
18a29,30
> bitarray 2.3.2 py38h294d835_0 conda-forge
> bkcharts 0.2 py38_0
19a32
> blas 1.0 mkl
20a34,37
> blosc 1.21.0 h0e60522_0 conda-forge
> bokeh 2.3.3 py38haa244fe_0 conda-forge
> boto 2.49.0 py_0 conda-forge
> bottleneck 1.3.2 py38h6f4d8f0_4 conda-forge
23a41,42
> cached-property 1.5.2 hd8ed1ab_1 conda-forge
> cached_property 1.5.2 pyha770c72_1 conda-forge
25a45
> cfitsio 3.470 h0af3d06_7 conda-forge
27a48,49
> charls 2.2.0 h39d44d4_0 conda-forge
> charset-normalizer 2.0.0 pyhd8ed1ab_0 conda-forge
29a52
> clyent 1.2.2 py_1 conda-forge
30a54,60
> comtypes 1.1.10 py38haa244fe_0 conda-forge
> conda-content-trust 0.1.3 pyhd8ed1ab_0 conda-forge
> conda-pack 0.6.0 pyhd3deb0d_0 conda-forge
> conda-package-handling 1.7.3 py38h31c79cd_0 conda-forge
> conda-repo-cli 1.0.4 pyhd3eb1b0_0
> conda-verify 3.1.1 py38haa244fe_1003 conda-forge
> contextlib2 21.6.0 pyhd8ed1ab_0 conda-forge
32c62
< cookiecutter 1.7.0 py_0 conda-forge
---
> cookiecutter 1.7.3 pyh6c4a22f_0 conda-forge
36a67,69
> cytoolz 0.11.0 py38h294d835_3 conda-forge
> dask 2021.8.1 pyhd8ed1ab_0 conda-forge
> dask-core 2021.8.1 pyhd8ed1ab_0 conda-forge
39c72
< decorator 5.0.9 pyhd8ed1ab_0 conda-forge
---
> decorator 4.4.2 py_0 conda-forge
41a75
> distributed 2021.8.1 py38haa244fe_0 conda-forge
44a79,81
> et_xmlfile 1.0.1 py_1001 conda-forge
> fastcache 1.1.0 py38h294d835_2 conda-forge
> filelock 3.0.12 pyh9f0ad1d_0 conda-forge
45a83
> flask 1.1.2 pyh9f0ad1d_0 conda-forge
46a85
> fsspec 2021.8.1 pyhd8ed1ab_0 conda-forge
47a87,94
> get_terminal_size 1.0.0 h38e98db_0
> gevent 21.8.0 py38h294d835_0 conda-forge
> giflib 5.2.1 h8d14728_2 conda-forge
> git 2.33.0 h57928b3_0 conda-forge
> glob2 0.7 py_0 conda-forge
> gmpy2 2.1.0b5 py38hb63f22f_0 conda-forge
> greenlet 1.1.1 py38h885f38d_0 conda-forge
> h5py 3.4.0 nompi_py38hde0384b_100 conda-forge
49a97
> heapdict 1.0.1 py_0 conda-forge
51a100,101
> html5lib 1.1 pyh9f0ad1d_0 conda-forge
> icc_rt 2019.0.0 h0cc432a_1
53c103,105
< idna 2.10 pyh9f0ad1d_0 conda-forge
---
> idna 3.1 pyhd3deb0d_0 conda-forge
> imagecodecs 2021.7.30 py38hc88f965_0 conda-forge
> imageio 2.9.0 py_0 conda-forge
58c110,111
< intel-openmp 2020.2 254 anaconda
---
> iniconfig 1.1.1 pyh9f0ad1d_0 conda-forge
> intel-openmp 2021.3.0 h57928b3_3372 conda-forge
62a116
> ipywidgets 7.6.4 pyhd8ed1ab_0 conda-forge
64c118,119
< jbig 2.1 h8d14728_2003 conda-forge
---
> itsdangerous 2.0.1 pyhd8ed1ab_0 conda-forge
> jdcal 1.4.1 py_0 conda-forge
65a121
> jinja2 2.11.3 pyh44b312d_0 conda-forge
67,68c123
< jinja2 3.0.1 pyhd8ed1ab_0 conda-forge
< joblib 0.17.0 py_0 anaconda
---
> joblib 1.0.1 pyhd8ed1ab_0 conda-forge
69a125
> json5 0.9.5 pyh9f0ad1d_0 conda-forge
71c127,129
< jupyter_client 7.0.2 pyhd8ed1ab_0 conda-forge
---
> jupyter 1.0.0 py38haa244fe_6 conda-forge
> jupyter_client 6.1.12 pyhd8ed1ab_0 conda-forge
> jupyter_console 6.4.0 pyhd8ed1ab_0 conda-forge
72a131,132
> jupyter_server 1.10.2 pyhd8ed1ab_0 conda-forge
> jupyterlab 3.1.10 pyhd8ed1ab_0 conda-forge
73a134,136
> jupyterlab_server 2.7.2 pyhd8ed1ab_0 conda-forge
> jupyterlab_widgets 1.0.1 pyhd8ed1ab_0 conda-forge
> jxrlib 1.1 h8ffe710_2 conda-forge
80a144,145
> libaec 1.0.5 h39d44d4_0 conda-forge
> libarchive 3.5.2 hb45042f_0 conda-forge
81a147,149
> libbrotlicommon 1.0.9 h8ffe710_5 conda-forge
> libbrotlidec 1.0.9 h8ffe710_5 conda-forge
> libbrotlienc 1.0.9 h8ffe710_5 conda-forge
85c153,154
< libdeflate 1.7 h8ffe710_5 conda-forge
---
> libdeflate 1.8 h8ffe710_0 conda-forge
> libiconv 1.16 he774522_0 conda-forge
86a156,157
> liblief 0.11.5 h0e60522_0 conda-forge
> libllvm9 9.0.1 hab3b255_3 conda-forge
93c164,167
< libtiff 4.3.0 h0c97f57_1 conda-forge
---
> libtiff 4.3.0 h0c97f57_0 conda-forge
> libwebp-base 1.2.1 h8ffe710_0 conda-forge
> libxml2 2.9.12 hf5bbc77_0 conda-forge
> libxslt 1.1.33 h65864e5_2 conda-forge
94a169,171
> libzopfli 1.0.3 h0e60522_0 conda-forge
> llvmlite 0.37.0 py38h57a6900_0 conda-forge
> locket 0.2.0 py_2 conda-forge
95a173
> lxml 4.6.3 py38h292cb97_0 conda-forge
96a175,177
> lzo 2.10 he774522_1000 conda-forge
> m2-msys2-runtime 2.5.0.17080.65c939c 3 conda-forge
> m2-patch 2.7.5 2 conda-forge
99a181
> m2w64-gcc 5.3.0 6 conda-forge
103d184
< m2w64-gcc-libs-core 5.3.0 7 conda-forge
104a186
> m2w64-gcc-libs-core 5.3.0 7 conda-forge
106d187
< m2w64-gcc 5.3.0 6 conda-forge
123c204,205
< markupsafe 2.0.1 py38h294d835_0 conda-forge
---
> markupsafe 1.1.1 py38h294d835_3 conda-forge
> matplotlib 3.4.3 py38haa244fe_0 conda-forge
126a209
> menuinst 1.4.17 py38haa244fe_1 conda-forge
128a212,221
> mkl-service 2.4.0 py38h294d835_0 conda-forge
> mkl_fft 1.3.0 py38h277e83a_2
> mkl_random 1.2.2 py38h60cbd38_0 conda-forge
> mock 4.0.3 py38haa244fe_1 conda-forge
> more-itertools 8.8.0 pyhd8ed1ab_0 conda-forge
> mpc 1.1.0 h7edee0f_1009 conda-forge
> mpfr 4.1.0 h8d14728_1 conda-forge
> mpir 3.0.0 he025d50_1002 conda-forge
> mpmath 1.2.1 pyhd8ed1ab_0 conda-forge
> msgpack-python 1.0.2 py38hbd9d945_1 conda-forge
129a223
> multipledispatch 0.6.0 py_0 conda-forge
130a225,226
> navigator-updater 0.2.1 py38_0
> nbclassic 0.3.1 pyhd8ed1ab_1 conda-forge
136c232,239
< numpy 1.21.2 py38h089cfbf_0 conda-forge
---
> networkx 2.6.2 pyhd8ed1ab_0 conda-forge
> nltk 3.6.2 pyhd8ed1ab_0 conda-forge
> nose 1.3.7 py_1006 conda-forge
> notebook 6.4.3 pyha770c72_0 conda-forge
> numba 0.54.0 py38h5858985_0 conda-forge
> numexpr 2.7.3 py38h4c96930_0 conda-forge
> numpy 1.20.3 py38ha4e8547_0
> numpy-base 1.20.3 py38hc2deb75_0
139a243
> openpyxl 3.0.7 pyhd8ed1ab_0 conda-forge
142c246
< pandas 1.1.3 py38ha925a31_0 anaconda
---
> pandas 1.3.2 py38h5d928e2_0 conda-forge
146c250,254
< parso 0.7.0 pyh9f0ad1d_0 conda-forge
---
> parso 0.7.0 py_0
> partd 1.2.0 pyhd8ed1ab_0 conda-forge
> path 16.2.0 py38haa244fe_0 conda-forge
> path.py 12.5.0 0 conda-forge
> pathlib2 2.3.6 py38haa244fe_0 conda-forge
147a256
> pathtools 0.1.2 py_1 conda-forge
148a258
> pep8 1.7.1 py_0 conda-forge
151c261
< pillow 8.3.2 py38h794f750_0 conda-forge
---
> pillow 8.3.1 py38h794f750_0 conda-forge
152a263
> pkginfo 1.7.1 pyhd8ed1ab_0 conda-forge
154a266,267
> ply 3.11 py_1 conda-forge
> pooch 1.5.1 pyhd8ed1ab_0 conda-forge
155a269
> prometheus_client 0.11.0 pyhd8ed1ab_0 conda-forge
156a271
> prompt_toolkit 3.0.20 hd8ed1ab_0 conda-forge
159a275,276
> py 1.10.0 pyhd3deb0d_0 conda-forge
> py-lief 0.11.5 py38h885f38d_0 conda-forge
160a278
> pycosat 0.6.3 py38h294d835_1006 conda-forge
161a280
> pycurl 7.44.1 py38hdf897c8_0 conda-forge
162a282
> pyerfa 2.0.0 py38hcb5f9af_0 conda-forge
167c287
< pyls-spyder 0.3.2 pyhd8ed1ab_0 conda-forge
---
> pyls-spyder 0.3.2 pyhd3eb1b0_0
169a290
> pyodbc 4.0.32 py38h885f38d_0 conda-forge
172d292
< pyqt-impl 5.12.3 py38h885f38d_7 conda-forge
173a294
> pyqt-impl 5.12.3 py38h885f38d_7 conda-forge
176a298
> pyreadline 2.1 py38haa244fe_1003 conda-forge
179a302,304
> pytables 3.6.1 py38h7deab4d_4 conda-forge
> pytest 6.2.5 py38haa244fe_0 conda-forge
> python 3.8.10 h7840368_1_cpython conda-forge
183c308,309
< python 3.8.10 h7840368_1_cpython conda-forge
---
> python-libarchive-c 3.1 py38haa244fe_0 conda-forge
> python-slugify 5.0.2 pyhd8ed1ab_0 conda-forge
186c312
< pywin32-ctypes 0.2.0 py38haa244fe_1003 conda-forge
---
> pywavelets 1.1.1 py38h347fdf6_3 conda-forge
187a314,315
> pywin32-ctypes 0.2.0 py38haa244fe_1003 conda-forge
> pywinpty 1.1.4 py38hd3f51b4_0 conda-forge
195c323
< qtpy 1.11.0 pyhd8ed1ab_0 conda-forge
---
> qtpy 1.10.0 pyhd8ed1ab_0 conda-forge
197c325,327
< requests 2.25.1 pyhd3deb0d_0 conda-forge
---
> requests 2.26.0 pyhd8ed1ab_0 conda-forge
> requests-unixsocket 0.2.0 py_0 conda-forge
> ripgrep 13.0.0 h7f3b576_0 conda-forge
200c330,332
< scikit-learn 0.23.2 py38h47e9c7a_0 anaconda
---
> ruamel_yaml 0.15.80 py38h294d835_1004 conda-forge
> scikit-image 0.18.3 py38h5d928e2_0 conda-forge
> scikit-learn 0.24.2 py38hb60ee80_1 conda-forge
201a334,336
> seaborn 0.11.2 hd8ed1ab_0 conda-forge
> seaborn-base 0.11.2 pyhd8ed1ab_0 conda-forge
> send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
202a338,340
> simplegeneric 0.8.1 py_1 conda-forge
> singledispatch 3.6.1 pyh44b312d_0 conda-forge
> sip 4.19.25 py38h885f38d_0 conda-forge
203a342,343
> snappy 1.1.8 ha925a31_3 conda-forge
> sniffio 1.2.0 py38haa244fe_1 conda-forge
204a345
> sortedcollections 2.1.0 pyhd8ed1ab_0 conda-forge
205a347
> soupsieve 2.0.1 py_1 conda-forge
206a349
> sphinxcontrib 1.0 py38_1
213,214c356,358
< spyder-kernels 2.0.5 py38haa244fe_0 conda-forge
< spyder 5.0.3 py38haa244fe_0 conda-forge
---
> sphinxcontrib-websupport 1.2.4 pyh9f0ad1d_0 conda-forge
> spyder-kernels 2.1.1 py38haa244fe_0 conda-forge
> sqlalchemy 1.4.23 py38h294d835_0 conda-forge
216c360,361
< statsmodels 0.12.2 py38h6f4d8f0_0 conda-forge
---
> statsmodels 0.12.2 py38h347fdf6_0 conda-forge
> sympy 1.8 py38haa244fe_0 conda-forge
217a363,364
> tblib 1.7.0 pyhd8ed1ab_0 conda-forge
> terminado 0.11.1 py38haa244fe_0 conda-forge
218a366
> text-unidecode 1.3 py_0 conda-forge
220c368
< threadpoolctl 2.1.0 pyh5ca1d4c_0 anaconda
---
> threadpoolctl 2.2.0 pyh8a188c0_0 conda-forge
221a370
> tifffile 2021.8.30 pyhd8ed1ab_0 conda-forge
225a375
> toolz 0.11.1 py_0 conda-forge
233a384,385
> unicodecsv 0.14.1 py_1 conda-forge
> unidecode 1.2.0 pyhd8ed1ab_0 conda-forge
237c389
< watchdog 1.0.2 py38haa244fe_1 conda-forge
---
> watchdog 2.1.5 py38haa244fe_0 conda-forge
240a393
> werkzeug 2.0.1 pyhd8ed1ab_0 conda-forge
242c395
< whichcraft 0.6.1 py_0 conda-forge
---
> widgetsnbextension 3.5.1 py38haa244fe_4 conda-forge
243a397,399
> win_unicode_console 0.5 py38h32f6830_1001 conda-forge
> wincertstore 0.2 py38haa244fe_1006 conda-forge
> winpty 0.4.3 4 conda-forge
245a402
> xlrd 2.0.1 pyhd8ed1ab_3 conda-forge
246a404,406
> xlwings 0.24.9 py38haa244fe_0 conda-forge
> xlwt 1.3.0 py_1 conda-forge
> xmltodict 0.12.0 py_0 conda-forge
250a411,412
> zfp 0.5.5 h0e60522_5 conda-forge
> zict 2.0.0 py_0 conda-forge
252a415,417
> zope 1.0 py38_1
> zope.event 4.5.0 pyh9f0ad1d_0 conda-forge
> zope.interface 5.4.0 py38h294d835_0 conda-forge
FileNotFoundError: Could not find module 'C:\Users\dkent\Anaconda3\envs\env2\lib\site-packages\scipy.libs\libbanded5x.UGR6EUQPIWHQH7SL62IWIXB5545VDNQZ.gfortran-win_amd64.dll' (or one of its dependencies). Try using the full path with constructor syntax.
You omitted this crucial part, which shows that this problem has nothing to do with Spyder. Please recreate your environment and install everything from conda-forge. The problem is conda-forge and defaults packages are binary incompatible, so you can't mix them (as you're doing right now).
You omitted this crucial part, which shows that this problem has nothing to do with Spyder. Please recreate your environment and install everything from conda-forge. The problem is conda-forge and defaults packages are binary incompatible, so you can't mix them (as you're doing right now).
That worked - works find now.
Issue Report Checklist
conda update spyder
(orpip
, if not using Anaconda)jupyter qtconsole
(if console-related)spyder --reset
Problem Description
I am using joblib for multiprocessing.
I get the following error with 5.1.3 and later: BrokenProcessPool: A task has failed to un-serialize. Please ensure that the arguments of the function are all picklable.
I seem not to get the problem with 5.0.3.
What steps reproduce the problem?
What is the expected output? What do you see instead?
Both of the above should work. I obsrve today that only step #1 works.
Paste Traceback/Error Below (if applicable)
Versions
Dependencies