[Docs] Fix the rendering issues in documentation docstrings

CONTRIBUTING.rst

@@ -105,7 +105,7 @@ Preparing Pull Requests
    whenever you commit.
 
    Now you have an environment called ``bitinfo`` that you can work in.
-   You’ll need to make sure to activate that environment next time you want
+   You'll need to make sure to activate that environment next time you want
    to use it after closing the terminal or your system.
 
    You can now edit your local working copy and run/add tests as necessary.
@@ -117,9 +117,7 @@ Preparing Pull Requests
 
    ``pre-commit`` also runs::
 
-    * `mypy <http://mypy-lang.org/>`_ for static type checking on
-      `type hints <https://docs.python.org/3/library/typing.html>`_.
-    * `isort <https://pycqa.github.io/isort/>`_ sorting imports
+    * `ruff <https://docs.astral.sh/ruff/>`_ code formatter.
     * `black <https://black.readthedocs.io/en/stable/>`_ code formatting
     * `flake8 <https://flake8.pycqa.org/en/latest/>`_ code linting
     ..

xbitinfo/graphics.py

@@ -57,6 +57,7 @@ def add_bitinfo_labels(
     Example
     -------
     Plotting a single-dimension coordinate dataset:
+
     >>> ds = xr.tutorial.load_dataset("air_temperature")
     >>> info_per_bit = xb.get_bitinformation(ds, dim="lon")
     >>> inflevels = [1.0, 0.9999, 0.99, 0.975, 0.95]
@@ -72,6 +73,7 @@ def add_bitinfo_labels(
     ... )  # doctest: +ELLIPSIS
 
     Plotting a multi-dimensional coordinate dataset
+
     >>> v = "Tair"
     >>> ds = xr.tutorial.load_dataset("rasm")
     >>> dim = "y"

xbitinfo/xbitinfo.py

@@ -678,22 +678,26 @@ def get_prefect_flow(paths=[]):
     Example
     -------
     Imagine n files of identical structure, i.e. 1-year per file climate model output:
+
     >>> ds = xr.tutorial.load_dataset("rasm")
     >>> year, datasets = zip(*ds.groupby("time.year"))
     >>> paths = [f"{y}.nc" for y in year]
     >>> xr.save_mfdataset(datasets, paths)
 
     Create prefect.Flow and run sequentially
+
     >>> flow = xb.get_prefect_flow(paths=paths)
     >>> import prefect
     >>> logger = prefect.context.get("logger")
     >>> logger.setLevel("ERROR")
     >>> st = flow.run()
 
     Inspect flow state
+
     >>> # flow.visualize(st)  # requires graphviz
 
     Run in parallel with dask:
+
     >>> import os  # https://docs.xarray.dev/en/stable/user-guide/dask.html
     >>> os.environ["HDF5_USE_FILE_LOCKING"] = "FALSE"
     >>> from prefect.executors import DaskExecutor, LocalDaskExecutor
@@ -707,14 +711,14 @@ def get_prefect_flow(paths=[]):
     >>> # flow.run(executor=executor, parameters=dict(overwrite=True))
 
     Modify parameters of a flow:
+
     >>> flow.run(parameters=dict(inflevel=0.9999, overwrite=True))
     <Success: "All reference tasks succeeded.">
 
     See also
     --------
-    - https://examples.dask.org/applications/prefect-etl.html
-    - https://docs.prefect.io/core/getting_started/basic-core-flow.html
-
+    `ETL Pipelines with Prefect <https://examples.dask.org/applications/prefect-etl.html/>`__ and
+    `Run a flow <https://docs.prefect.io/core/getting_started/basic-core-flow.html>`__
     """
 
     from prefect import Flow, Parameter, task, unmapped