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Releases: DagsHub/client

0.3.13 - minor bugfixes and doc improvements

07 Feb 10:16
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What's Changed

  • Bugfix: Fixed a faulty null check by @jinensetpal in #409
  • Improve docstring for Datapoint.save() by @guysmoilov in #412
  • Raise a better error on adding empty token by @kbolashev in #414
  • Add Support ID to Data Engine errors by @sdafni in #416
  • DDA Streaming: allow excluding certain glob patterns from being looked up by @kbolashev in #362
  • Docs: Add example usage snippets for the bucket client flavors by @kbolashev in #426

Full Changelog: 0.3.12...0.3.13

0.3.12

19 Dec 11:21
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What's Changed

Full Changelog: 0.3.11...0.3.12

0.3.11 - Metadata Versioning and Better Docs

10 Dec 15:24
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This is an exciting new release for us and includes a feature we've been working on for a couple months now: Metadata Versioning!
Check out ds.as_of() and ds.select() to start querying and comparing older data.

Along with versioning we improved our docs infrastructure and moved it to Sphinx. You can find the documentation here

What's Changed

Full Changelog: 0.3.10...0.3.11

0.3.10 - Abandoning hotfix post-releases

30 Nov 15:42
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Due to semver changes in default python build process, we're abandoning the hotfixes post releases where versions were numbered major.minor.patch_post. We will be using major.minor.patch from now on

0.3.9 Hotfix 1 - fixing optional dependencies

29 Nov 12:03
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We forgot to expose the optional dependencies in the previous release. This release should fix that issue

What's Changed

Full Changelog: 0.3.9...0.3.9_1

0.3.9 - Jupyter dependency is now optional

08 Nov 10:20
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Starting with this release, the rich[jupyter] dependency is now optional. This should majorly slim down the ammount of dependencies installed.
If you're using our client in Colab or any other Jupyter environment, either pip install dagshub[jupyter] (or pip install rich[jupyter]) if you stop seeing progress bars from appearing.

The FUSE mount is also now in an optional dagshub[fuse] dependency

What's Changed

  • Data Engine docs: add info about metadata tagging + sending to annotation by @kbolashev in #382
  • Move jupyter + fuse into optional dependencies by @kbolashev in #381
  • Bug: setting annotation metadata two times doesn't work by @kbolashev in #383

Full Changelog: 0.3.8_2...0.3.9

0.3.8 Hotfix 2 - Bringing back metadata tagging

19 Oct 12:46
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What's Changed

New Contributors

Full Changelog: 0.3.8_1...0.3.8_2

0.3.8 Hotfix 1 - Bugfix

02 Oct 08:01
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We've reverted metadata tagging until it's deployed on the backend. Apologies for the inconvenience

0.3.8 - Metadata tagging

01 Oct 14:51
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Now you can "tag" your metadata fields with custom information, telling more about what type of data is stored in the field.
For now only is_annotation() flag is there, but more will be added soon with possibility of defining your own custom tags.

What's Changed

Full Changelog: 0.3.7...0.3.8

0.3.7 - Bugfixes

20 Sep 08:22
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What's Changed

  • Change the serialization for OAuth token to make them TZ-naive by @kbolashev in #359
  • External bucket support for file_column detection, dataloader post_hooks, bugfixes by @jinensetpal in #332
  • Fix problems with blob field filter deserialization by @kbolashev in #360

Full Changelog: 0.3.6_3...0.3.7