Support zarr v3

[alejoe91]

Fixes #4014

Implement bulk changes from zarr v2 to zarr v3

• create_dataset -> create_array
• Serialization of non JSON serializable objects (recording/sorting/extensions) not supported anymore
• Compressors use zarr.codecs, which wrap numcodecs compressor (e.g., Blosc -> BloscCodec)
• Codec Pipeline: improved generation of codec pipeline to automatically chain filters (ArrayArrayCodec), serializers (standard unless an ArrayBytesCodec is used - e.g. Wavpack), and compressors (BytesBytesCodec)
• Clean up of tests

TODO:

• Add sharding parameter to save function
• Backcompatibility
• Test v2 reading in v3: make an action that generates v2 zarr for Recording/Sorting/Template/SortingAnalyzer using an old SI version and reads it in the new version

Depends on:

• ProbeInterface: Support zarr v3 probeinterface#387
• NWB (hdmf-zarr): Migrate hdmf-zarr from zarr-python v2 to v3 hdmf-dev/hdmf-zarr#325

[chrishalcrow]

I'm having issues loading principal_components, quality_metrics and template_metrics from a v2 analyzer. Looking into it...

[alejoe91]

I'm having issues loading principal_components, quality_metrics and template_metrics from a v2 analyzer. Looking into it...

We should add full analyzers in the cross-serialization checks!

[chrishalcrow]

This type of hack works for v2 backwards compat. Annoyingly, we don't necessarily know the names of the pc models apiori: they're called pca_model_by_channel_local_323 in my dataset - I guess 323 are the channel_indices...

Suggested change

	for ext_data_name in extension_group.keys():
	if self.extension_name =='template_metrics':
	extension_group_keys = ['metrics', 'main_channel_templates', 'peaks_data']
	elif self.extension_name =='quality_metrics':
	extension_group_keys = ['metrics']
	elif self.extension_name =='principal_components':
	extension_group_keys = ['pca_projection']
	else:
	extension_group_keys = extension_group.keys()
	for ext_data_name in extension_group_keys: