Install dpctl via pip manager in coverage and docs workflows (#2383)

This PR resolves issue with `coverage` and `docs` GitHub workflows
observing since 2025.1 release is published.

The reason of the proposed changes is that it isn't possible to install
dpctl there as a conda package when the environment is created through
installing of Intel OneAPI packages because the dpctl conda package has
a runtime dependency on DPC++ RT one. Whereas the DPC++ RT package has
been already installed by the apt command above and its version has been
matched with the DPC++ compiler.
In case where we install the DPC++ compiler with the apt (including
DPC++ RT) and install the DPC++ RT conda package while resolving
dependencies, this can lead to a versioning error, i.e. compatibility
issue as the DPC++ compiler only guarantees backwards compatibility, not
forward compatibility (DPC++ RT may not run a binary built with a newer
version of the DPC++ compiler).

Installing dpctl via the pip manager has no such limitation, as the
package has no run dependency on the DPC++ RT pip package, so this is
why the new step is proposed to be added to the workflows. 395c896

Author: github-actions[bot]

.buildinfo

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