Avoid caching pip dependencies

[alessandrofelder]

Description

What is this PR

• Bug fix
• Addition of a new feature
• Other

Why is this PR needed?

If we run the benchmarks using the current configurations on a local machine, we risk pip using its cache. This stops the benchmarks from being useful smoke tests for newer versions of dependencies breaking our code, which is a key purpose of this repo.

What does this PR do?
Stops pip from using cached dependencies when installing the package into the asv conda env.

References

\

How has this PR been tested?

Only understanding how pip works better. Suggestions for how to best test this welcome 🤔

Is this a breaking change?

No.

Does this PR require an update to the documentation?

yes, but we should tackle that as a whole once we are happy with the workflows and our internal testing setup.

Checklist:

• [ \ ] The code has been tested locally
• [ \ ] Tests have been added to cover all new functionality (unit & integration)
• [ \ ] The documentation has been updated to reflect any changes
• The code has been formatted with pre-commit

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 85.83%. Comparing base (9ad7474) to head (5b6ec05).

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #124   +/-   ##
=======================================
  Coverage   85.83%   85.83%           
=======================================
  Files          17       17           
  Lines         847      847           
=======================================
  Hits          727      727           
  Misses        120      120           

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[sfmig]

LGTM! Let's hope the canary works next time! 🦜 🤞

We could consider adding -vvv to pip install to get more details for debugging next time (apparently the three are needed, see here). No preference either way so feel free to do as you see fit!