Use pytest-jupyter

[blink1073]

Use the fixtures from pytest-jupyter and re-expose them in pytest_plugin.py for backward compatibility.

Note, due to a chicken-and-egg problem, we need to forcibly install pytest-jupyter[server] for our downstream tests.

[codecov]

Codecov Report

Base: 85.16% // Head: 79.99% // Decreases project coverage by -5.17% ⚠️

Coverage data is based on head (24bd685) compared to base (3136aac).
Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1099      +/-   ##
==========================================
- Coverage   85.16%   79.99%   -5.18%     
==========================================
  Files         124       68      -56     
  Lines       13095     8006    -5089     
  Branches        0     1585    +1585     
==========================================
- Hits        11153     6404    -4749     
+ Misses       1942     1182     -760     
- Partials        0      420     +420     

Impacted Files	Coverage Δ
jupyter_server/pytest_plugin.py	92.30% <100.00%> (-1.70%)	⬇️
jupyter_server/auth/logout.py	77.77% <0.00%> (-11.12%)	⬇️
jupyter_server/base/websocket.py	68.11% <0.00%> (-10.15%)	⬇️
jupyter_server/traittypes.py	65.54% <0.00%> (-10.09%)	⬇️
jupyter_server/_version.py	90.00% <0.00%> (-10.00%)	⬇️
jupyter_server/auth/login.py	81.69% <0.00%> (-9.81%)	⬇️
...ter_server/services/kernels/connection/channels.py	59.47% <0.00%> (-9.59%)	⬇️
jupyter_server/extension/utils.py	84.21% <0.00%> (-7.90%)	⬇️
jupyter_server/_sysinfo.py	79.31% <0.00%> (-6.90%)	⬇️
jupyter_server/auth/security.py	75.67% <0.00%> (-6.76%)	⬇️
... and 104 more

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[blink1073]

The coverage was artificially inflated because we weren't using branch coverage with coverage run. This returns us to the more strict coverage reporting.

[Zsailer]

You're the man, @blink1073! Great stuff here!

[fcollonval]

@blink1073 do we need to change something in downstream package? This breaks the tests in JupyterLab: https://github.com/jupyterlab/jupyterlab/actions/runs/3572271760/jobs/6005278518

[fcollonval]

Never mind the trouble comes from the need to explicit the dependency packages otherwise pip is not able to resolve the packages to install. I opened jupyterlab/jupyterlab#13508