atlas | Machine learning workflow for use with the Gryphon | Machine Learning library

The problem is, that you are using the wrong function, you should use this.anims.generateFrameNames, and not this.anims.generateFrameNumbers.

And set the correct key clean for the sprite.
the line should be:

You need to specify that it's a digest:

For first, you have double quotes in the connection variable. Secondly: it seems to me that mongoUri should include the username and password in the query string, right?

This is because of a root CA Let’s Encrypt uses (and Mongo Atals uses Let's Encrypt) has expired on 2020-09-30 - namely the "IdentTrust DST Root CA X3" one.

The fix is to manually install in the Windows certificate store the "ISRG Root X1" and "ISRG Root X2" root certificates, and the "Let’s Encrypt R3" intermediate one - link to their official site - https://letsencrypt.org/certificates/

Copy from the comments: download the .der field from the 1st category, download, double click and follow the wizard to install it.

Try this one:

First, you should do mongodump. You already did that correctly.

I don't think it's possible to manipulate the configuration file during the build/deployment that happens within the Oryx-container. What you could do is to manipulate the file during the pipeline run by, for example, tokenizing the environment-specific configuration values and replacing the tokens during the pipeline run. To achieve this with single json-file (ie. having just a file with the localhost-value stored in version control) you could use tokenizer- and replace tokens -task from Colin's ALM Corner extension collection (https://marketplace.visualstudio.com/items?itemName=colinsalmcorner.colinsalmcorner-buildtasks). Another option would be to have multiple environment-specific configuration files in version control and just copying a specific one over the appsettings.json during the pipeline run.

Not sure if Static Web App environment variables could be utilized here, but adding it here if someone using GitHub Actions is looking for this - they are not yet supported by Azure Pipelines.

https://docs.microsoft.com/en-us/azure/static-web-apps/build-configuration?tabs=github-actions#environment-variables

A clipping function won't achieve the correct effect as it will cut your features not coerce them to follow that line.

Instead, we can combine your projection with a geotransform to force the line to adhere to rules within the projected space:

As others have stated, Python 3.10 is not currently compatible with Matplotlib. You need to install and use Python 3.9 until it is supported. Until then you have a few options:

You can use the Python Launcher for Windows (py.exe) script to choose which Python version to run like so:

py.exe script help: py -h

List all installed versions py -0

Use a specified version py -3.9

e.g. 1 Create a virtual environment using python 3.9 py -3.9 venv .venv

e.g. 2 install matplotlib with pip using python 3.9 py -3.9 -m pip install matplotlib

On Linux you can run whatever Python version you like like so:

python3.9

You can set up a local (your working directory and all sub-directories) virtual environment that will use your specified version like so:

python3.9 -m venv .venv

Which will set the version of python used to 3.9 while in the local directory, and allow you to type python instead of python3.9 each time you need it.

Another relevant and helpful post by Rotareti here.

Please note that I have not described how to activate and use Python Virtual Environments here in detail, for more information on using them read the python docs.

Reference this answer if you're interested in installing a matplotlib release candidate.