cycler | cycler : composable cycles | Functional Programming library

For matplotlib, I used this code to change a default color cycle setting, so that I could plot multiple lines with colors in this cycle.

I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

I have tried the similar problems' solutions on here but none seem to work. It seems that I get a memory error when installing tensorflow from requirements.txt. Does anyone know of a workaround? I believe that installing with --no-cache-dir would fix it but I can't figure out how to get EB to do that. Thank you.

Logs:

I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

So I did the following:

1. write a simple meta.yaml so I could use conda-build to build jive locally
2. build jive with conda build .
3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
5. create a conda env using that environment.yml.

When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.) How can I fix the build/install so that this works?

Here is the meta.yaml, which lives in the jive project top level directory:

I am encountering a segfault when I make a reticulated call to matplotlib.pyplot.plot().

Steps to produce error:

1. Create a Dockerfile with the contents:

   ...

I install new modules via the following command in my miniconda

I have a conda env that I build from a requirements.yml file that I obtained from a classmate so we could work on a project together. I tried installing matplotlib and it resulted in a gigantic list of incompatibilities that I don't think I could even start tackling manually.

Here are the most important packages I'm using (the ones that have come up in a few other posts I've looked at and what the error looks like):

• python 3.9.7
• tensorflow 2.6.0
• anaconda 4.11
• numpy 1.21.2
• tornado 6.1

Is there a way of adressing this without going into every line of the error?:

The part of the error containing matplotlib incompatibilities specifically:

I'm working on a project where I need to instantiate multiple copies of a particular class, but with different parameters. I'm creating a utility function withAlteredConstructorArgs to help me with this, but I'm having trouble getting the types quite right.

Here is an example of how I would like to use this utility:

I am working with a simple ML model with streamlit. It runs fine on my local machine inside conda environment, but it shows Error installing requirements when I try to deploy it on share.streamlit.io.
The error message is the following: