jinja2-time | : calendar : Jinja2 Extension for Dates and Times
kandi X-RAY | jinja2-time Summary
kandi X-RAY | jinja2-time Summary
:calendar: Jinja2 Extension for Dates and Times
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Top functions reviewed by kandi - BETA
- Parse an expression .
- Return a datetime object .
- Initialize the time extension .
- Return the current time .
- Return the contents of a file .
jinja2-time Key Features
jinja2-time Examples and Code Snippets
Community Discussions
Trending Discussions on jinja2-time
QUESTION
I want to install packages from poetry.lock
file; using poetry install
.
However, the majority of packages throw the exact same error, indicating a shared fundamental problem.
What is causing this? What is the standard fix?
Specification:
- Windows 10,
- Visual Studio Code,
- Python 3.8.10 & Poetry 1.1.11,
- Ubuntu Bash.
Terminal:
rm poetry.lock
poetry update
poetry install
ANSWER
Answered 2022-Mar-23 at 10:22This looks to be an active issue relating to poetry. See here - Issue #4085. Some suggest a workaround by downgrading poetry-core
down to 1.0.4.
There is an active PR to fix the issue.
QUESTION
I am trying to deploy my first web app on Heroku however I am getting a PyObjc error while pushing the code. I am doing this on a Mac Machine. This predictive application is developed using Flask. I do not know why this error is occurring as I do not have the PyObjc in my requirements.txt
...ANSWER
Answered 2022-Feb-04 at 21:42applaunchservices
appears to be Apple-only:
Simple package for registering an app with apple Launch Services to handle UTI and URL. See Apple documentations for details.
I suspect you don't need that, either. Did you create your requirements.txt
from a pip freeze
? There's likely a bunch of stuff in there you don't need.
I suggest you review that file and remove anything you aren't directly depending on. pip
will find transitive dependencies (dependencies your dependencies depend on) and install them automatically.
Prune that file, commit, and redeploy.
QUESTION
I have been getting the following error in my CodeBuild execution:
ModuleNotFoundError: No module named 'cfn_tools'
Interesting note, the first time I ran this through CodeBuild with this module I had no issues. It only started happening after I made my next gitHub push that kicked off my pipeline that I saw this. The files that are related to this didn't change, and the modifications in that next push were to an unrelated section of the repo.
I have since tried to do:
pip install cfn-tools
&pip3 install cfn-tools
which mentioned that the module was already installed. These were added to the BuildSpec section. No success - still got the error- I've added a requirements.txt file with no success still got the error. I created this file using
pip freeze
also within the BuildSpec. The module shows up, but still get the error. - Originally used runtime version 3.7 of python and then tried with 3.9 which still didn't work.
python runtime 3.9 Any assistance would be appreciated.
UPDATE: To add more information I download a .tar.gz file from S3 that contains the python scripts I need for running in this build. I extract the .tar.gz then I run the script that is having the error. Here is the output for when I install cfn-tools and do a pip freeze You will see below that cfn-tools loads and is part of the output of pip freeze but yet when I run my script it give me the above error.
...ANSWER
Answered 2021-Dec-20 at 19:11The module I was trying to install wasn't the one that was being used.
The module that needed to be installed was cfn_flip
it has the cfn_tools
module that the code was trying to use. The CodeBuild didn't have it installed, so how it worked on the first run is still a mystery.
QUESTION
Good day
I am getting an error while importing my environment:
...ANSWER
Answered 2021-Dec-03 at 09:22Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to
QUESTION
I am trying to import segmentation models and keras and i am getting an attribute error, i am using tensor flow version 2.5.0
...ANSWER
Answered 2021-Jul-02 at 05:33I have solved my issue by adding tf.compat.v1.enable_eager_execution()
to import and it works fine
QUESTION
I am certain that this issue is down to my own ignorance of Python and pip, however, I have scoured the net and tried many things to get this to work, so far, to no avail.
I have a docker image based on the Bitbucket pipelines default image (version 2): atlassian/default-image:2
, which uses Python 2.7.x. And SAM doesn't work with that, I looked at AWS' documentation and this said that the SAM CLI no longer supports Python 2.7.x, so I removed all Python installations from the docker container (debugging the Bitbucket pipeline locally) and attempted to make sure that there was only Python3 and pip3 installed (I even setup symlinks from /usr/bin/python
to /usr/bin/python3
and from /usr/bin/pip
to /usr/bin/pip3
- although, that seems like such a dumb thing to have to do).
I also tried doing the above with Python 3.6, as the error message (shown below) seemed to show a Python 'f-String' syntax, which according to Python's docs was introduced in 3.6.
Nothing I do seems to work and the more I look at this, the more I get tied up in an seemingly never ending web of Python versions and linux packages!
The error (and python versions) can be seen here:
...ANSWER
Answered 2021-Apr-13 at 03:51In most cases, instead of modifying the python installation in an existing image or installing a new one, I would recommend just using a docker image that already has python 3 installed. This bitbucket page talks about using different base images.
There's also a page about using a python base image spectifically.
Aside from this, depending on how you want to use SAM, you may be able to use the builtin Bitbucket "pipe" for deploying to SAM instead. Here is some info on pipes.. I think this would bypass the need to install SAM in your build.
I haven't used that particular pipe myself but the way I think it works is you build your deploy artifact file in your pipeline, caching it so it's available in future steps, then you set that file as the input for the SAM pipe to deploy it. The SAM pipe runs in a separate container, so it's already installed in that container. You just pass in the file.
Finally, I have never used SAM, so take this with a grain of salt, but I don't see a reference to installing the CLI with pip
either on the official AWS Linux installation docs or on the github page. I did find this issue, from which I glean the following:
pip
installation is possible but not recommended- Python 3.5 is not supported by aws sam cli
- If you use the installer in the instructions, it sounds like it will take care of the python versioning for you.
- They would like to target a single version of Python, so if you use pip, maybe the latest or 2nd latest Python version will work. Just a guess...
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Install jinja2-time
You can use jinja2-time like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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