Implement fast frozen solve for conda env update

[osamoylenko]

Implement fast frozen solve for conda env update

In 4.7 release there was introduced the feature of locking down packages that are not involved in the solution, so that the solver’s problem is simpler, and the install commands are run faster.

Thus, conda install has option --freeze-installed (or --no-update-deps) enabled by default with a fallback to the full solve method in case of an unsatisfiable error.

See the corresponding PR: #8620.

In this PR I'm trying to apply the same logic to conda env update command which is effectively rather similar to conda install. This speeds up conda env update by preventing existing packages from unnecessary updating.

I'm not sure whether some additional tests are requiered, as such behavior is already tested in test_install_freezes_env_by_default(), and conda env update uses the same conda.core.solve.Solver as conda install.

[cla-bot]

We require contributors to sign our Contributor License Agreement, and we don't have one on file for @osamoylenko. In order for us to review and merge your code, please e-sign the PDF at https://conda.io/en/latest/contributing.html#conda-contributor-license-agreement. We then need to manually verify your signature. We will ping the bot to refresh the PR status when we have confirmed your signature.

[cla-bot]

We require contributors to sign our Contributor License Agreement, and we don't have one on file for @osamoylenko. In order for us to review and merge your code, please e-sign the PDF at https://conda.io/en/latest/contributing.html#conda-contributor-license-agreement. We then need to manually verify your signature. We will ping the bot to refresh the PR status when we have confirmed your signature.

[cla-bot]

We require contributors to sign our Contributor License Agreement, and we don't have one on file for @osamoylenko. In order for us to review and merge your code, please e-sign the PDF at https://conda.io/en/latest/contributing.html#conda-contributor-license-agreement. We then need to manually verify your signature. We will ping the bot to refresh the PR status when we have confirmed your signature.

[cla-bot]

We require contributors to sign our Contributor License Agreement, and we don't have one on file for @osamoylenko. In order for us to review and merge your code, please e-sign the PDF at https://conda.io/en/latest/contributing.html#conda-contributor-license-agreement. We then need to manually verify your signature. We will ping the bot to refresh the PR status when we have confirmed your signature.

[github-actions]

Hi there, thank you for your contribution to Conda!

This pull request has been automatically locked since it has not had recent activity after it was closed.

Please open a new issue or pull request if needed.