v2.1.0rc0

General

• Following our lifecycle policy, client versions v1.11.0 and earlier are no longer supported. They may
  cease to work with the Platform at any time.

Catalog

• The Catalog Blob class now has a get_data() method which can be used to retrieve the blob
  data directly given the id, without having to first retrieve the Blob metadata.

Compute

• Breaking Change The base images for Compute have been put on a diet. They are now themselves built
  from "slim" Python images, and they no longer include the wide variety of extra Python packages that were
  formerly included (e.g. TensorFlow, SciKit Learn, PyTorch). This has reduced the base image size by
  an order of magnitude, making function build times and job startup overhead commensurately faster.
  Any functions which require such additional packages can add them in as needed via the requirements=
  parameter. While doing so will increase image size, it will generally still be much better than the prior
  "Everything and the kitchen sink" approach. Existing Functions with older images will continue
  to work as always, but any newly minted `Function`` using the new client will be using one of the new
  slim images.

• Base images are now available for Python3.10 and Python3.11, in addition to Python3.8 and Python3.9.

• Job results and logs are now integrated with Catalog Storage, so that results and logs can be
  searched and retrieved directly using the Catalog client as well as using the methods in the Compute
  client.

• The new ComputeResult class can be used to wrap results from a Function, allowing the user to
  specify additional attributes for the result which will be stored in the Catalog Blob metadata for
  the result. This allows the function to specify properties such as geometry, description,
  expires and extra_attributes for the result Blob. The use of ComputeResult is not required.

• A Job can now be assigned arbitrary tags (strings), and searched based on them.

• A Job can now be retried on errors, and jobs track error reasons, exit codes, and execution counts.

• Function and Job objects can now be filtered by class attributes (ex. Job.search().filter(Job.status == JobStatus.PENDING).collect()).

• The requirements= parameter to Function objects now supports more pip magic, allowing the use
  of special pip controls such as -f. Also parsing of package versions has been loosened to allow
  some more unusual version designators.

• Changes to the Function.map() method, with the parameter name change of iterargs changed to kwargs
  (the old name is still honored but deprecated), corrected documentation, and enhancements to support more
  general iterators and mappings, allowing for a more functional programming style.

• The compute package was restructured to make all the useful and relevant classes available at the top level.

Utils

• Property filters can now be deserialized as well as serialized.