I installed dbt v1.0.0 within a pyenv Python 3.10.6.
I stumbled upon this error of the infinite recursion between these versions. The solution is known: downgrade Python.
DBT RecursionError
https://github.com/dbt-labs/dbt-core/issues/4560
I switched pyenvs to a Python 3.8.5, but I am still hitting this infinite recursion error, with dbt referencing package files from 3.10. I have uninstalled and reinstalled dbt.
On an M1 chip.
Related
I trying to get the IBM Blockchain platform to work in Visual studio code (on Linux), but it keeps coming back with:
Could not rebuild native dependencies Failed to execute command "npm" with arguments
"rebuild, grpc, --target=6.1.5, --runtime=electron, --update-binary, --fallback-to-build, --
target_arch=x64, --dist-url=https://atom.io/download/electron" return code 1. Please ensure
that you have node and npm installed
I have node and npm installed
node -v
v10.17.0
and
npm -v
6.11.3
satisfying the constraints. I have visual studio code version 1.41.1. What could be thie issue?
The problem you are experiencing is described in this issue https://github.com/IBM-Blockchain/blockchain-vscode-extension/issues/1621
The issue is that there are no pre-built versions of grpc used by the fabric node sdk for electron 6 currently and due to changes in newer versions of gcc the grpc node module fails to compile when it falls back to using source because of no pre-built versions
The easiest solution is to downgrade for vscode 1.39 and install the extension.
Alternative options are to install gcc version 7 and make that the default in your linux environment or you could install a version of linux that has gcc version 7 as the default for example ubuntu 18.04 (which would allow grpc to compile from source)
While running the latest chaquopy I am running into the error:
Collecting tensorflow==1.13.1
Could not find a version that satisfies the requirement tensorflow==1.13.1 (from versions: 1.10.1)
No matching distribution found for tensorflow==1.13.1
I am wondering if the internal chaquopy pip is too old and needs to be upgraded. How is this possible?
The issue isn't the version of pip, it's the version of TensorFlow. Try changing your project to use version 1.10.1 instead, as the message suggests.
I have noticed a number of similar questions on stackoverflow, but none that really helped me with my current challenge. I have been attempting to install eric6 on my Raspberry Pi setup. And then I encountered the following messages:
Checking dependencies
Python Version: 3.6.8
PyQt5 could not be detected.
Error: No module named 'PyQt5.sip'
Shall 'PyQt5' be installed using pip? (Y/n) Y
Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
Requirement already satisfied: PyQt5 in /usr/local/lib/python3.6/site-packages (5.12)
Sorry, please install PyQt5.
Error: No module named 'PyQt5.sip'
And when I attempt to use the pip list to look at what has been installed (as I previously already managed to make and install the PyQt5 from source code):
Package Version
---------- -------
pip 19.0.3
PyQt5 5.12
setuptools 40.6.2
sip 4.19.14
So, how do I overcome the issue that I am currently facing? By the way, I am using the following command when attempting to install eric6:
python3 install.py
Thought you might need to know that if it helps.
Python 3.6 isn't available in any Raspbian distribution, so I assume you installed this yourself. You can't install an out-of-distribution Python version and expect distribution Python packages to work. You have PyQt5 installed, yes, but it's the version of PyQt built for Python 3.5 (I'm assuming you're on Raspbian Stretch).
Sometimes you can install Python libraries with pip, and in theory that could work to install the correct version of PyQt for your version of Python, but PyQt only provides wheels for x86 on PyPI, not for Arm, so PyQt is not pip installable on the Pi. The only way to get PyQt on Raspberry Pi is via apt, where your choices are Jessie (old stable - with Python 3.4), Stretch (current stable - with Python 3.5), and Buster (unstable/testing - with Python 3.7). If there's a need for Python >3.5, your best bet is to try upgrading to Buster, but bear in mind it's not ready for release yet.
I am working on building and installing tensorflow on my institution's cluster computer, which is running CentOS 6.5.
Obviously, the first step is building and installing bazel. The build works just fine, but when I try to run the bazel binary, I get the following error:
Error: unexpected result from F_SETLK: Function not implemented
gcc version is 4.7.2
java version is jdk1.8.0_65
edit: I have also tried compiling gcc 4.9.4 and building with this version, and I have tried building both the latest dist of bazel, and the 0.3.1 from the git repo. All variants get the same error.
This happens if the filesystem where Bazel tries to install itself (unpack its embedded tools) doesn't support locking.
Workaround (until the relevant issue is resolved) is to specify a path on a local, writable (and file-lockable) filesystem for --output_user_root, for example:
bazel --output_user_root=/usr/local/$USER/bazelout build <targets>
I am getting the following error when trying to run several executables:
/lib/libc.so.6: version `GLIBC_2.7' not found (required by .tools/bridge/bridge)
I have recently upgraded from CentOS 5.3 to 5.7 (I am required to run these tools on CentOS 5, so I can't upgrade to 6).
I recompiled the whole code but this error still appears.
Has anyone encountered this type of error?
Thanks,
Claudiu
The error means that you built .tools/bridge/bridge on a system with glibc-2.7 (or later), and are trying to run it on a system that has glibc-2.6 or earlier.
Linux (and most UNIXes) does not support "build on later, run on earlier"; only the reverse scenario is supported.
See also this answer.
The 'glibc' is not the latest version, and you can try to update glibc package.
yum install glibc
or
yum install glibc-2.7