In python3.6, when executing the following command:
from sklearn.model_selection import GridSearchCV
Reported Error:
from _bz2 import BZ2Compressor, BZ2Decompressor
ModuleNotFoundError: No module named '_bz2'
However, issue is that I don't have root access to machine to use the solutions posted on the same issue on stackoverflow.
On trying to locate libbz2.so, I received following:
/usr/lib64/libbz2.so.1
/usr/lib64/libbz2.so.1.0.6
To be noted: in my bash_profile the LIBRARY_PATH did not have '/usr/lib64' explicitly specified when I compiled python3.6 from source.
bz2 is an optional dependency of python, but sklearn assumes your python installation has this module.
There are at least two possible ways to fix this:
update your version of joblib to make its dependence on bz2 optional. (Thanks to sascha for pointing this out.)
or, install libbz2 and then re-build python3.6.
Related
I am working at blender script, where I want to use YAML. So I try to import it:
from pydantic import BaseModel
from pydantic_yaml import YamlModel
But when I run my script, this error will occure:
ImportError: cannot import name 'YamlModel' from 'pydantic_yaml' (C:\Program Files\Blender Foundation\Blender 3.0\3.0\python\lib\site-packages\pydantic_yaml\__init__.py)
I have installed pydantic and pydantic_yaml on both Pythons (Blender one and the common one), if they wouldn't be installed, there would be different error. I tried googling, but google had very few results for this problem. Also, when I open that __init__.py file, there is clearly YamlModel. Thank you for any kind of help.
I found the same error and it is related how pydantic-yaml got installed.
There is a bug in the package. you need to install optional dependencies as well (so called extras).
pip install pedantic-yaml[pyyaml,ruamel]
or manually install pyyaml ruamel please make sure that that Taumel version is <=0.18
In Google colab I am to trying import BucketIterator using:
from allennlp.data.iterators import BucketIterator
But it is raising the same error again and again-
ModuleNotFoundError: No module named 'allennlp.data.iterators
After installing allennlp with the imports:
from allennlp.data.token_indexers import TokenIndexer, SingleIdTokenIndexer
from allennlp.data.tokenizers.character_tokenizer import CharacterTokenizer
from allennlp.data.vocabulary import Vocabulary
from allennlp.modules.seq2vec_encoders import PytorchSeq2VecWrapper
are working fine. Is there a way to solve this issue?
I was facing the same issue.
It won't work, since Iterators are removed from allennlp.
Install a legacy version of allennlp. allennlp is depended upon the PyTorch(torchtext) library. And since torchtext removed iterators form their newer versions allennlp did it too.
You can directly use torchtext.data.BucketIterator(). Use:
pip install torchtext==0.5.0 --user
from datasets import dataset_utils ImportError: No module named datasets.
when i am writing this in python sript.
import tensorflow as tf
from datasets import dataset_utils
slim = tf.contrib.slim
But i am getting error.
from datasets import dataset_utils
ImportError: No module named datasets
I found this solution
How can jupyter access a new tensorflow module installed in the right path?
I did the same and i have dataset packages at path anaconda/lib/python2.7/site-packages/. Still i am getting same error.
pip install datasets
I solved it this way.
You can find the folder address on your device and append it to system path.
import sys
sys.path.append(r"D:\Python35\models\slim\datasets"); import dataset_utils
You'll need to do the same with 'nets' and 'preprocessing'
sys.path.append(r"D:\Python35\models\slim\nets"); import vgg
sys.path.append(r"D:\Python35\models\slim\preprocessing"); import vgg_preprocessing
Datasets is present in https://github.com/tensorflow/models/tree/master/slim/datasets
Since 'models' are not installable from pip (at the time of writing), they are not available in python load paths by default. So either we copy them or manually add to the path.
Here is how I setup env before running the code:
# git clone or wget
wget https://github.com/tensorflow/models/archive/master.zip -O models.zip
unzip models.zip
# add it to Python PATH
export PYTHONPATH=$PYTHONPATH:$PWD/models-master/slim
# now we are good to call `python mytensorflow.py`
It's using the datasets package in the TF-slim image models library, which is in:
git clone https://github.com/tensorflow/models/
Having done that though, in order to import the module as shown in the example on the slim image page, empty init.py have to be added to the models and models/slim directories.
go to https://github.com/nschaetti/EchoTorch/releases and download the latest release
install the latest release from the downloaded file (202006291 is the latest version at the moment):
$pip install ./EchoTorch-202006291.zip
test it out using narma10_esn.py (other examples may have some issues)
you may still need to install some more python packages not listed in the requirements file but it works once you do this.
I installed iap_local_receipts on python3 after solving issues with M2crypto and openSSL, just to find out that python cannot resolve the import iap_pkcs7_verifier:
.../iap_receipt_verifier.py", line 1, in <module>
from iap_pkcs7_verifier import PKCS7Verifier
ImportError: No module named 'iap_pkcs7_verifier'
The repo is:
https://github.com/SilentCircle/iap-local-receipt
It has the missing source code for iap_pkcs7_verifier. How can I install directly from the repo?
Any other way to solve this issue?
Unfortunately, M2Crypto doesn't support Py3 yet, which means that this library can't yet run on Py3 :/
I need to import the multiprocessing module in Python 2.5.
I've followed the instructions here exactly: http://code.google.com/p/python-multiprocessing/wiki/Install
make and make test run without errors. I've also edited $PYTHONPATH to include the directory where the package is installed.
But 'import multiprocessing' still says: "ImportError: no module named multiprocessing".
What am I doing wrong? Is there some step missing from these instructions? I haven't installed a Python module before.
Navigate to the directory containing the package then type:
python setup.py install
This info was contained in the INSTALL.txt file.
http://code.google.com/p/python-multiprocessing/source/browse/trunk/INSTALL.txt
perhaps you can try:
import sys
sys.path.append('/path/to/processingdotpylibs/')
import processing