adsimdet: compress HDF5 images

[prjemian]

Set compression for HDF5 file images in the adsimdet device. Either after this line: https://github.com/BCDA-APS/bluesky_training/blob/3cc523e3613f467066601736305a78e528517da6/bluesky/instrument/devices/area_detector.py#L152 or this line: https://github.com/BCDA-APS/bluesky_training/blob/3cc523e3613f467066601736305a78e528517da6/bluesky/instrument/devices/area_detector.py#L160

[prjemian]

compare file sizes with different compression settings (all are 1k x 1k, 100 frames, 8 bit, mono, simulated beam spot)

compression	Run time	file size	file name
LZ4	0.700	1.7M	5512ecb6-0b17-40c3-8fae_000000.h5
None	0.690	102M	d69c1e88-95d1-4a73-858e_000000.h5
Blosc	0.657	1.9M	32227a0c-bbf3-4f9e-a6a9_000000.h5
BSLZ4	0.715	2.3M	6245e7d3-46fc-4e69-9927_000000.h5
zlib	3.488	13M	1df8c934-6534-4ffb-99d4_000000.h5

All other HDF5 plugin settings left at defaults for these measurements.

[prjemian]

Use stage_sigs since that will avoid modifying the IOC's settings when a bluesky session is started.

[prjemian]

For maximum client compatibility (client needs plugin support to read advanced compression methods), configure zlib as the default. It's slower than None yet 6x smaller file size.

[prjemian]

Note that when adding an item to hdf1.stage_sigs, keep capture as the last one.

[prjemian]

Here's the full exception trace when punx cannot read the file:

(bluesky_2023_3) prjemian@zap:~$ punx tree /tmp/docker_ioc/iocad/tmp/adsimdet/2023/08/22/765f4a04-0a69-4a40-89d0_000000.h5

!!! WARNING: this program is not ready for distribution.

Traceback (most recent call last):
  File "/home/prjemian/.conda/envs/bluesky_2023_3/bin/punx", line 10, in <module>
    sys.exit(main())
             ^^^^^^
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/main.py", line 414, in main
    args.func(args)
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/main.py", line 183, in func_tree
    report = mc.report(args.show_attributes)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/h5tree.py", line 87, in report
    tree_string_list = self._renderGroup(f, txt, indentation="")
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/h5tree.py", line 173, in _renderGroup
    g = self._renderGroup(value, itemname, indentation + "  ", md)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/h5tree.py", line 173, in _renderGroup
    g = self._renderGroup(value, itemname, indentation + "  ", md)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/h5tree.py", line 156, in _renderGroup
    s += self._renderDataset(value, itemname, indentation + "  ")
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/h5tree.py", line 245, in _renderDataset
    value = self._renderArray(dset, indentation + "  ")
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/h5tree.py", line 304, in _renderArray
    r = self._renderNdArray(obj, indentation + "  ")
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/h5tree.py", line 337, in _renderNdArray
    r.append(__render(obj, rank, i, indentation + "  "))
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/punx/h5tree.py", line 323, in __render
    part = eval("obj[%s]" % indices)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<string>", line 1, in <module>
  File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
  File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
  File "/home/prjemian/.conda/envs/bluesky_2023_3/lib/python3.11/site-packages/h5py/_hl/dataset.py", line 758, in __getitem__
    return self._fast_reader.read(args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "h5py/_selector.pyx", line 376, in h5py._selector.Reader.read
OSError: Can't synchronously read data (can't open directory: /home/prjemian/.conda/envs/bluesky_2023_3/lib/hdf5/plugin)