I was trying to serve a JavaScript file with Python's http.server module, but I was getting this error:

Loading module from “http://localhost:9876/main.js” was blocked because of a disallowed MIME type (“text/plain”).

I saw in this StackOverflow answer that I needed to change the MIME type for JavaScript files. I'm using Windows, so I checked the key HKEY_CLASSES_ROOT\.js in RegEdit, and I found that it had this value:

(Default)     JSFile
ContentType   text/plain
PerceivedType text

I changed the ContentType to application/javascript, and now my JavaScript files are served with the correct MIME type.

I'm not sure why the MIME type was set to text/plain in the first place. I'm guessing that it was set by a program that I installed, but I don't know which one. I'm also not sure if changing the MIME type will cause any problems with other programs.

The other day, I wrote a post about how I fixed a problem with Pylance not finding a local import. It worked, but now mypy was complaining about the same import.

The solution was installing the package in compat mode with:

pip install -e . --config-settings editable_mode=compat

I have a Python package called cloudmodel that uses Pint to define units and adds some to the default registry. When I read a pickle file that use these units, I get an error:

int.errors.UndefinedUnitError: 'usd' is not defined in the unit registry

The way to fix it is to set the application registry to the one used by cloudmodel:

from cloudmodel.unified.units import ureg
from pint import set_application_registry

set_application_registry(ureg)

I had a problem with Pylance not finding a local import. I had installed the package in editable mode with pip install -e . and it was working fine in the terminal, but Pylance was not able to find it.

The solution was installing the package in strict mode with:

pip install -e . --config-settings editable_mode=strict

I got there from this troubleshooting page and this explanation in the Setuptools documentation.

A friend of mine had an audio file with many clicks in it. He asked me if I could remove them. I tried with the Audacity click removal tool, but it didn't work: it removed the clicks, but created a lot of artifacts in the audio, so I thought it would be a nice challenge to try to do it with Python.

The waveform looked like this:

I did it using the pydub package. The basic idea is detecting the clicks and replacing them with the previous sample. I used two different criteria to detect the clicks:

• If the average of the previous samples is below a threshold and the current sample is above another threshold.

• If the difference between the previous sample and the current one is above a threshold.

The code is not very clean, but it worked. I had to play with the thresholds and the width of the samples to get the best results. I also had to play with the width of the clicks to avoid removing too much audio …