Mixing
Why catch_warnings() creates warnings later
I am trying to avoid the following RuntimeWarnings. (I know that upgrading the packages may solve the warnings, but I can't upgrade. I am familiar with RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility). My question is what is happening with the warnings package here, and how come catching warnings before the import h5py causes the warnings later.
This code:
import warnings
with warnings.catch_warnings() as x:
import numpy
import h5py
outputs RuntimeWarings:
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:34: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from ._conv import register_converters as _register_converters
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:43: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from . import h5a, h5d, h5ds, h5f, h5fd, h5g, h5r, h5s, h5t, h5p, h5z
/usr/local/lib/python2.7/dist-packages/h5py/_hl/group.py:21: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from .. import h5g, h5i, h5o, h5r, h5t, h5l, h5p
But this code:
import numpy
import h5py
outputs nothing.
To reproduce this, numpy==1.14.2 and h5py==2.7.1 .
python numpy scikit-learn warnings h5py
asked Nov 19 '18 at 17:47
YarivYariv
8315
add a comment |
I am trying to avoid the following RuntimeWarnings. (I know that upgrading the packages may solve the warnings, but I can't upgrade. I am familiar with RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility). My question is what is happening with the warnings package here, and how come catching warnings before the import h5py causes the warnings later.
This code:
import warnings
with warnings.catch_warnings() as x:
import numpy
import h5py
outputs RuntimeWarings:
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:34: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from ._conv import register_converters as _register_converters
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:43: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from . import h5a, h5d, h5ds, h5f, h5fd, h5g, h5r, h5s, h5t, h5p, h5z
/usr/local/lib/python2.7/dist-packages/h5py/_hl/group.py:21: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from .. import h5g, h5i, h5o, h5r, h5t, h5l, h5p
But this code:
import numpy
import h5py
outputs nothing.
To reproduce this, numpy==1.14.2 and h5py==2.7.1 .
python numpy scikit-learn warnings h5py
asked Nov 19 '18 at 17:47
YarivYariv
8315
add a comment |
I am trying to avoid the following RuntimeWarnings. (I know that upgrading the packages may solve the warnings, but I can't upgrade. I am familiar with RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility). My question is what is happening with the warnings package here, and how come catching warnings before the import h5py causes the warnings later.
This code:
import warnings
with warnings.catch_warnings() as x:
import numpy
import h5py
outputs RuntimeWarings:
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:34: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from ._conv import register_converters as _register_converters
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:43: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from . import h5a, h5d, h5ds, h5f, h5fd, h5g, h5r, h5s, h5t, h5p, h5z
/usr/local/lib/python2.7/dist-packages/h5py/_hl/group.py:21: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from .. import h5g, h5i, h5o, h5r, h5t, h5l, h5p
But this code:
import numpy
import h5py
outputs nothing.
To reproduce this, numpy==1.14.2 and h5py==2.7.1 .
python numpy scikit-learn warnings h5py
asked Nov 19 '18 at 17:47
YarivYariv
8315
I am trying to avoid the following RuntimeWarnings. (I know that upgrading the packages may solve the warnings, but I can't upgrade. I am familiar with RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility). My question is what is happening with the warnings package here, and how come catching warnings before the import h5py causes the warnings later.
This code:
import warnings
with warnings.catch_warnings() as x:
import numpy
import h5py
outputs RuntimeWarings:
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:34: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from ._conv import register_converters as _register_converters
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:43: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from . import h5a, h5d, h5ds, h5f, h5fd, h5g, h5r, h5s, h5t, h5p, h5z
/usr/local/lib/python2.7/dist-packages/h5py/_hl/group.py:21: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
from .. import h5g, h5i, h5o, h5r, h5t, h5l, h5p
But this code:
import numpy
import h5py
outputs nothing.
To reproduce this, numpy==1.14.2 and h5py==2.7.1 .
python numpy scikit-learn warnings h5py
python numpy scikit-learn warnings h5py
asked Nov 19 '18 at 17:47
YarivYariv
8315
asked Nov 19 '18 at 17:47
YarivYariv
8315
edited Nov 19 '18 at 18:19
Yariv
asked Nov 19 '18 at 17:47
YarivYariv
8315
asked Nov 19 '18 at 17:47
YarivYariv
8315
asked Nov 19 '18 at 17:47
YarivYariv
8315
8315
add a comment |
add a comment |
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