Unable to install PyQt5 on Ubuntu 20.04 - python

I am trying to install PyQt5 on a freshly installed Ubuntu 20.04 (I need that specific version for compatibility issues).
I have (at least) the following packages installed:
mcon#lucid:~$ sudo apt install -y git python3 build-essential cmake pkg-config googletest libgtest-dev libasound-dev libtinyxml2-dev libsndfile-dev python3-venv qt5-default
I install with:
mcon#lucid:~/audioservices$ pushd tools/client
~/audioservices/tools/client ~/audioservices
mcon#lucid:~/audioservices/tools/client$ python3 -m venv venv
mcon#lucid:~/audioservices/tools/client$ venv/bin/pip install -r requirements.txt
Collecting PyQt5
Downloading PyQt5-5.15.9.tar.gz (3.2 MB)
|████████████████████████████████| 3.2 MB 1.3 MB/s
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing wheel metadata ... -Killed
Content of reqirements.txt is:
PyQt5
bottle~=0.12.23
cffi~=1.15.1
What happens is pip slowly eats all my memory (I have 4GB, almost completely free) and finally gets Killed for its greediness.
What am I doing wrong?

Related

pip install ibm-db seems failed. keep "Getting requirements to build wheel" for minutes

my pip info
pip3 --version
pip 22.0.3 from /myPath/Python/3.8/lib/python/site-packages/pip (python 3.8)
while i install "ibm-db" for the lastest version, it shows
Defaulting to user installation because normal site-packages is not writeable
Collecting ibm-db
Using cached ibm_db-3.1.1.tar.gz (1.1 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... -
and nothing happened anymore.
what shoule I do?
thanks
Check that you have gcc and python-devel installed. If not (Assuming a Redhat derivative, something similar for others)
sudo dnf install gcc
sudo dnf install python3-devel
The pip installation seems to access some system files, despite being installed with --user, so you may have to:
sudo pip3 install --user ibm_db
You can find more info at: pypi

ERROR: Could not build wheels for opencv-python which use PEP 517 and cannot be installed directly

I was trying to install OpenCV4 in a docker on jetson nano. It has jetpack 4.4 s os. The docker was successfully created and Tensorflow is running but while installing OpenCV using pip it is showing CMake error.
root#5abf405fb92d:~# pip3 install opencv-python
Collecting opencv-python
Downloading opencv-python-4.4.0.42.tar.gz (88.9 MB)
|████████████████████████████████| 88.9 MB 2.5 kB/s
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing wheel metadata ... done
Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from opencv-python) (1.18.4)
Building wheels for collected packages: opencv-python
Building wheel for opencv-python (PEP 517) ... error
ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 /usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py build_wheel /tmp/tmpqpzwrofy
cwd: /tmp/pip-install-93nxibky/opencv-python
Complete output (9 lines):
File "/tmp/pip-build-env-o_hualnr/overlay/lib/python3.6/site-packages/skbuild/setuptools_wrap.py", line 560, in setup
cmkr = cmaker.CMaker(cmake_executable)
File "/tmp/pip-build-env-o_hualnr/overlay/lib/python3.6/site-packages/skbuild/cmaker.py", line 95, in __init__
self.cmake_version = get_cmake_version(self.cmake_executable)
File "/tmp/pip-build-env-o_hualnr/overlay/lib/python3.6/site-packages/skbuild/cmaker.py", line 82, in get_cmake_version
"Problem with the CMake installation, aborting build. CMake executable is %s" % cmake_executable)
Traceback (most recent call last):
Problem with the CMake installation, aborting build. CMake executable is cmake
----------------------------------------
ERROR: Failed building wheel for opencv-python
Failed to build opencv-python
ERROR: Could not build wheels for opencv-python which use PEP 517 and cannot be installed directly
I had the same problem and i did this,
pip install --upgrade pip setuptools wheel
then install opencv again,
pip install opencv-python
this worked for me
If after
pip install --upgrade pip setuptools wheel
you still have the same error,
You can try to specify the older version of OpenCV to install.
Ex.
pip3 install opencv-python==3.4.13.47
Yes .. Finally found a work around.
Follow this https://github.com/mdegans/nano_build_opencv and build from source and finally gets installed.
PS: It may take a bit long for building, for me it took 10 Hrs :P.
Happy Image-Processing..
I had a similar problem and what solved it for me was not to use python:3-alpine but python:3.8-slim. E.g.:
FROM python:3.8-slim
WORKDIR /usr/src/app
RUN apt update
RUN apt -y install build-essential libwrap0-dev libssl-dev libc-ares-dev uuid-dev xsltproc
RUN apt-get update -qq \
&& apt-get install --no-install-recommends --yes \
build-essential \
gcc \
python3-dev \
mosquitto \
mosquitto-clients
RUN pip3 install --upgrade pip setuptools wheel
RUN python3 -m pip install --no-cache-dir \
numpy scipy matplotlib scikit-build opencv-contrib-python-headless \
influxdb paho-mqtt configparser Pillow \
qrcode
worked finally for me.
please check your python specifications:
- opencv -> python[
version='
>=2.7,<2.8.0a0
>=3.5,<3.6.0a0
>=3.6,<3.7.0a0
>=3.7,<3.8.0a0']
I handled it by reinstalling python3 from scratch in my MacBook:
brew reinstall python#3.9
I also reinstalled numpy and matplotlib packages experimentally.
pip3 install numpy
pip3 install matplotlib
pip3 install opencv-contrib-python
The versions:
macOS Mojave 10.14.5
Python 3.9.7
OpenCV 4.5.3
OpenCV's version is 4.5.3 by this way:
import cv2
print(cv2.__version__)
But by "pip list", it shows "opencv-contrib-python 3.4.9.31".
if you are trying to install opencv in your raspberrypi 3B, Use following steps:
sudo raspi-config
advanced -- expand filesystem
reboot your pi
Open your raspi terminal and do following stuff:
use command: sudo apt-get update
use command: sudo apt-get upgrade
check your python version and upgarde it to latest one
install pip and upgrade pip
use command: mkdir project
use command: cd project
create virtual environment
activate virtual environment
install dependencies ,can get dependencies from https://singleboardbytes.com/647/install-opencv-raspberry-pi-4.htm
if error in installing libdhf5-dev
use command: sudo apt-get install python3-h5py and reinstall libdhf5-dev
use command: pip install scikit-build
use command: pip install cython
before installing opencv ,make sure you are in virtual environment or
activate environment
use command: pip install --no-cache-dir opencv-contrib-python==4.5.3.56
Remember to use mentioned version...
Thank You...
I came across similiar situation
I had error
Failed to build opencv-python ERROR: Could not build wheels for
opencv-python which use PEP 517 and cannot be installed directly
WARNING: You are using pip version 19.2.3, however version 22.0.4 is
available. You should consider upgrading via the 'python -m pip
install --upgrade pip' command.
I ran in command prompt with admin privileges following
python -m pip install --upgrade pip
Now "pip install opencv-python" works

Package Python3.7 is not available

So I have python 3.8 and pip for it, but I want to install stable python 3.7 and pip for it also. But when I try
sudo apt-get install python3.7
It says package is not available but is referred to another package.
Help please
Error:
Reading package lists... Done
Building dependency tree
Reading state information... Done
Package python3.7 is not available, but is referred to by another package.
This may mean that the package is missing, has been obsoleted, or
is only available from another source
E: Package 'python3.7' has no installation candidate
I tried doing the below steps in an official docker image of Kali Linux. It should work on the desktop as well.
apt-get update
apt-get install -y build-essential openssl openssl-dev* wget curl
wget https://www.python.org/ftp/python/3.7.8/Python-3.7.8.tgz
tar -xvf Python-3.7.8.tgz
cd Python-3.7.8
./configure --enable-shared
make
make test
make install
# Steps from here are to enable other libraries in linux to
# access the shared python libraries.
cd /usr/local/lib/
cp libpython3.so /usr/lib64/
cp libpython3.so /usr/lib
cp libpython3.7m.so.1.0 /usr/lib64/
cp libpython3.7m.so.1.0 /usr/lib/
cd /usr/lib64
ln -s libpython3.7m.so.1.0 libpython3.7m.so
cd /usr/lib
ln -s libpython3.7m.so.1.0 libpython3.7m.so
Done, python3.7 is installed.
root#fe794c7ff15e:~# python3
Python 3.7.8 (default, Aug 15 2020, 16:26:34)
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
I tried creating a python virtual environment with this install. It worked properly. I was able to install pip packages as well.
(testvirtual) root#fe794c7ff15e:~# pip install flask
Collecting flask
Downloading Flask-1.1.2-py2.py3-none-any.whl (94 kB)
|████████████████████████████████| 94 kB 404 kB/s
Collecting Jinja2>=2.10.1
Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB)
|████████████████████████████████| 125 kB 10.4 MB/s
Collecting click>=5.1
Downloading click-7.1.2-py2.py3-none-any.whl (82 kB)
|████████████████████████████████| 82 kB 165 kB/s
Collecting Werkzeug>=0.15
Downloading Werkzeug-1.0.1-py2.py3-none-any.whl (298 kB)
|████████████████████████████████| 298 kB 11.9 MB/s
Collecting itsdangerous>=0.24
Downloading itsdangerous-1.1.0-py2.py3-none-any.whl (16 kB)
Collecting MarkupSafe>=0.23
Downloading MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl (27 kB)
Installing collected packages: MarkupSafe, Jinja2, click, Werkzeug, itsdangerous, flask
Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Werkzeug-1.0.1 click-7.1.2 flask-1.1.2 itsdangerous-1.1.0
Default Python version in Ubuntu nowadays is 3.8 which is per-installed.
While it looks like older version of spark like 2.x versions require Python version 3.7.
I ran into same issue and I did the below
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.7
Updated bashrc to point PYSPARK_PYTHON environment variable to python3.7 installed above like below
export PYSPARK_PYTHON=/usr/bin/python3.7
source ~/.bashrc
Here are the steps I follow when starting a new Python project:
First I decide on a Python release. Let's say you want to work with Python 3.7.8.
To install a specific release, I use pyenv. It's on gitbug and use this script to install it.
After installing pyenv you should cd to the place your code will be and enter pyenv install 3.7.8 and pyenv local 3.7.8 which will make sure that the Python 3.7.8 environment will be created at that location.
Then you install poetry: curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python.
After poetry is installed (use poetry -V to see if it works), you can run poetry init to create a pyproject.toml file.
You can add new dependencies like this: poetry add requests.
And you can enter that environment via poetry shell.
Now your using your new project in your specific 3.7.8 python version using your dependencies in a separate shell.
The following commands seem to work, but bear in mind the disclaimer about the deadsnakes PPA:
[T]here's no guarantee of timely updates in case of security problems or other issues. If you want to use them in a security-or-otherwise-critical environment (say, on a production server), you do so at your own risk.
But, if you really want to do this:
apt-get update
apt-get install python3 python3-pip software-properties-common
add-apt-repository ppa:deadsnakes/ppa
apt-get install python3.7

OpenCV Python Building wheel for dlib (setup.py)

I am trying to install face_recognition on Ubuntu.
I keep running into this loop, which goes on forever. Please help.
pip install face_recognition
Collecting face_recognition
Using cached https://files.pythonhosted.org/packages/3f/ed/ad9a28042f373d4633fc8b49109b623597d6f193d3bbbef7780a5ee8eef2/face_recognition-1.2.3-py2.py3-none-any.whl
Collecting Pillow (from face_recognition)
Using cached https://files.pythonhosted.org/packages/c1/e6/ce127fa0ac17775bc7887c432ffe945c49ae141f01b477b7cd5e63b16bb5/Pillow-6.0.0-cp37-cp37m-manylinux1_x86_64.whl
Requirement already satisfied: numpy in ./.virtualenvs/cv/lib/python3.7/site-packages (from face_recognition) (1.16.3)
Collecting Click>=6.0 (from face_recognition)
Using cached https://files.pythonhosted.org/packages/fa/37/45185cb5abbc30d7257104c434fe0b07e5a195a6847506c074527aa599ec/Click-7.0-py2.py3-none-any.whl
Collecting face-recognition-models>=0.3.0 (from face_recognition)
Collecting dlib>=19.7 (from face_recognition)
Using cached https://files.pythonhosted.org/packages/05/57/e8a8caa3c89a27f80bc78da39c423e2553f482a3705adc619176a3a24b36/dlib-19.17.0.tar.gz
Building wheels for collected packages: dlib
Building wheel for dlib (setup.py) .
Add -vvv to see if the installation is progressing.
I also was in that loop, it took a long time but it finished.
pip install dlib -vvv
this is my step-by-step solution
apt-get update
apt-get install build-essential cmake
apt-get install libopenblas-dev liblapack-dev
apt-get install libx11-dev libgtk-3-dev
apt-get install python python-dev python-pip
apt-get install python3 python3-dev python3-pip
then install dlib
cd ~
mkdir temp
cd temp
git clone https://github.com/davisking/dlib.git
cd dlib
mkdir build; cd build; cmake ..; cmake --build .
cd ..
python3 setup.py install
then install face_recognition
pip3 install numpy scipy matplotlib pandas face_recognition
Although I don't know the cause of the loop, I found a workaround by creating a (Anaconda) container with python version 3.6.9 (whereas at first I tried to install face_recognition with python version 3.7.3. Hope it helps.

Why does my numpy install keeps being KILLED?

here's what I am trying to do on Coding Ground
sh-4.3$ pip install --target=. virtualenv
You are using pip version 7.1.0, however version 8.1.2 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Collecting virtualenv
Downloading virtualenv-15.0.2-py2.py3-none-any.whl (1.8MB)
100% |################################| 1.8MB 204kB/s
Installing collected packages: virtualenv
Successfully installed virtualenv
sh-4.3$ python virtualenv.py mine
New python executable in /home/cg/root/mine/bin/python
Installing setuptools, pip, wheel...done.
sh-4.3$ . mine/bin/activate
(mine) sh-4.3$ pip install numpy
Collecting numpy
Downloading numpy-1.11.0-cp27-cp27mu-manylinux1_x86_64.whl (15.3MB)
99% |############################### | 15.3MB 43.1MB/s eta 0:00:01Killed
(mine) sh-4.3$
Why does my trying of installation of numpy keep being killed?
And how do i solve this problem?
A quick fix for this would be to add swap memory. Here's an Ubuntu example:
sudo mkdir /media/fasthdd
dd if=/dev/zero of=/media/fasthdd/swapfile.img bs=1024 count=1M
sudo mkswap /media/fasthdd/swapfile.img
sudo swapon /media/fasthdd/swapfile.img
Don't forget to turn it off if you don't need it.

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