Is the undetected_chromedriver package safe to use?
Is this a widely used and trusted package that you would happily pip install and run?
Thanks a lot
Related
Within my Conda environment with Python 3.6.9, I've installed AllenNLP 9.2.0. I tried to install AllenNLP Server following the instruction from https://github.com/allenai/allennlp-server by running pip install --editable .
However, the installation procedure never finished as the compatibility checks with several modules, e.g. pip is looking at multiple versions of tqdm to determine which version is compatible with other requirements. This could take a while. Collecting tqdm>=4.19
Does anybody know what happens here? Should I add more restrictions to steup.py in AllenNLP server? However, there is any code included in such file.
Thanks a lot for your help.
I just tried it with AllenNLP 2.0.1 (the latest), and while it takes a long time, it does eventually resolve the packages.
That said, I would recommend two things:
Use Python 3.8 instead.
If it still doesn't work, specify a version of tqdm tightly in the requirements. My version automatically picked tqdm==4.56.2, just or reference.
I am trying to use this library here: multi-rake
However, as stated in the docs, we have to run this before installing multi-rake:
CFLAGS="-Wno-narrowing" pip install cld2-cffi
So I cannot simply put cld2-cffi and multi-rake in requirements.txt because cld2-cffi needs to be installed like this beforehand. How could I overcome this problem?
According to the official documentation you have to package as local dependencies.
You can also package and deploy dependencies alongside your function.
This approach is useful if your dependency is not available via the
pip package manager or if your Cloud Functions environment's internet
access is restricted. For example, you might use a directory structure
such as the following:
You can then use code as usual from the included local dependency,
localpackage. You can use this approach to bundle any Python packages
with your deployment.
Note: You can still use a requirements.txt file to specify additional
dependencies you haven't packaged alongside your function.
Specifying dependencies in Python
Can anyone please explain what exactly is the difference between depends and build-depends?
Somewhere, I read in build-depends, we add packages required for building our package. As per my understanding, anything needed for building my executable/library should be added here. It may include tools like cmake as well as other dependencies.
And in depends, we put dependencies needed for installation. I don't understand this.
Can anyone please explain?
Thank you.
"build-depends" is used to list down the packages which are required to build / create the debian package.
"Depends" lists out the packages which are used for the functioning of the package i.e. when dpkg -i <package_name> is run, it will first install the packages listed under "Depends" and then install the final package as the final package is exporting / using the functionality of the packages defined in "Depends".
This earlier SO question suggests mysql.connector, which is what I am actually using. However, as noted in a comment to the accepted answer in the aforementioned question, this is not a standard python module.
My problem: whenever my ISP upgrades to a newer Python version, I have to notice the crashes and bug them to install mysql.connector for me.
I could explicitly call for an older version of Python 3.x. However, all other things being equal, I'd like to use the latest Python, and it seems like MySQL is just such a standard of standards that there really should be a standard Python 3 library for it. Is there? I'm not doing anything fancy with the database (or with python), so basic functionality is o.k.
Just use a venv and isolate yourself from ISP python upgrades:
pyvenv ./mysqlvenv
./mysqlvenv/bin/pip install mysql-connector-python --allow-external mysql-connector-python
install your other dependencies using ./mysqlvenv/bin/pip install foo and Bob's your uncle.
I created some python hooks for Mercurial that use some external libraries (namely jira-python). In Linux, I install the packages using pip. In Windows, however, Mercurial comes with a bundled version of Python. My hooks fail when I run them because the external packages are not installed.
I want to make Mercurial / TortoiseHG use my Python installation so I can control its environment. How can I do that?
You can install Mercurial package for Python:
Mercurial 2.4 Python 2.7 package - x86 Windows
Mercurial 2.4 Python 2.7 package - x64 Windows
For TortoiseHG-specific details I can suggest to inspect %TortoiseHg%\library.zip - it contains (some? all?) needed for TortoiseHG|Mercurial Python's modules, which list you can (try) to extend: "in Where is the Python path for TortoiseHG?" topic Steve Borho wrote:
TortoiseHg's entire python environment is contained within the library.zip that comes packaged
with it.
What I suspect you can do is add a line or two to the top of your reviewboard extension file to add your installed python path to sys.path before trying to import simplejson
Hint for adding python path to sys.path is applicable for you too
Recommendation from Convert Extension page
you'll need to use a Mercurial installed on top of a stand-alone Python, and you may also need to do something like
set HG=python c:\Python25\Scripts\hg
to override the default Win32 binaries if you have those installed also
I have Mercurial installed through pip, and I also have TortoiseHg. My system path selects the Python version first.
I renamed C:\Program Files\TortoiseHg\hg.exe to something else, and then ran TortoiseHg. Everything still worked, but I haven't got a good way of verifying it does what you want. You can give it a shot.