Build: Bump getdaft from 0.4.4 to 0.4.5

[dependabot]

Bumps getdaft from 0.4.4 to 0.4.5.

Release notes

Sourced from getdaft's releases.

v0.4.5

What's Changed 🚀

💥 Breaking Changes

• refactor!: split column expression into unresolved and resolved types @​kevinzwang (#3804)

✨ Features

• feat(connect): daft.pyspark module @​universalmind303 (#3861)
• feat: Emit children of join before shuffle + add stats to explain analyze @​colin-ho (#3852)
• feat: Stageify plan on shuffle boundaries @​colin-ho (#3781)
• feat(sql): adds session sql for leveraging attached catalogs @​rchowell (#3860)
• feat(catalog): Cutover deprecated APIs to use session, catalog, table abstractions [3/3] @​rchowell (#3830)
• feat(connect): read csv/parquet/json options @​universalmind303 (#3791)
• feat(sql): select from multiple joins @​kevinzwang (#3842)
• feat(catalog): Integrate session and catalog actions alongside existing APIs [2/3] @​rchowell (#3825)
• feat(catalog): Prepare existing catalog APIs for integration [1/3] @​rchowell (#3820)
• feat(sql): supports schemas in read_json, read_csv, read_parquet @​rchowell (#3836)
• feat(sql): supports array of paths in read_ table-value functions @​rchowell (#3835)
• feat: Add a daft dashboard to display queries plans and stats @​raunakab (#3790)

🐛 Bug Fixes

• fix: sql round without precision @​universalmind303 (#3863)
• fix: pypi publish workflow @​kevinzwang (#3862)
• fix: build wheel Github action inputs @​kevinzwang (#3858)
• fix: protocol in iceberg writes @​colin-ho (#3851)
• fix: LogicalPlan::get_schema_for_alias should stop when it hits any alias @​kevinzwang (#3848)
• fix: Reduce number of nodes in random join graph test @​desmondcheongzx (#3839)
• fix: Add excludes to broken link checker @​colin-ho (#3834)
• fix: Grab Daft config from environment variables for new contexts @​desmondcheongzx (#3832)
• fix: create series of np.datetime64['D'] @​rchowell (#3829)

🚀 Performance

• perf(optimizer): Infer additional join graph edges during join reordering @​desmondcheongzx (#3807)

♻️ Refactor

• refactor!: split column expression into unresolved and resolved types @​kevinzwang (#3804)

📖 Documentation

• docs: respect daft analytics env var @​ccmao1130 (#3856)
• docs: Update configuration docs to show set_runner_native @​colin-ho (#3833)

🔧 Maintenance

• chore: replace anaconda with S3 for nightly build publish @​kevinzwang (#3857)

... (truncated)

Commits

• d468589 feat(connect): daft.pyspark module (#3861)
• c3591a2 fix: sql round without precision (#3863)
• af2a841 feat: Emit children of join before shuffle + add stats to explain analyze (#3...
• 6d92c6f fix: pypi publish workflow (#3862)
• f782869 feat: Stageify plan on shuffle boundaries (#3781)
• 0080a7e feat(sql): adds session sql for leveraging attached catalogs (#3860)
• 3a3c66f docs: respect daft analytics env var (#3856)
• 190c75a docs: Update configuration docs to show set_runner_native (#3833)
• 5db17c2 feat(catalog): Cutover deprecated APIs to use session, catalog, table abstrac...
• fc97a92 fix: build wheel Github action inputs (#3858)
• Additional commits viewable in compare view

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[kevinjqliu]

=================================== FAILURES ===================================
_____________________ test_daft_nan[session_catalog_hive] ______________________

    def dashboard_module():
        try:
>           import daft_dashboard
E           ModuleNotFoundError: No module named 'daft_dashboard'

../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/dashboard.py:17: ModuleNotFoundError

During handling of the above exception, another exception occurred:

catalog = local (<class 'pyiceberg.catalog.hive.HiveCatalog'>)

    @pytest.mark.integration
    @pytest.mark.parametrize("catalog", [pytest.lazy_fixture("session_catalog_hive"), pytest.lazy_fixture("session_catalog")])
    def test_daft_nan(catalog: Catalog) -> None:
        import daft
    
        daft.context.set_runner_native()
        table_test_null_nan_rewritten = catalog.load_table("default.test_null_nan_rewritten")
        df = table_test_null_nan_rewritten.to_daft()
>       assert df.count_rows() == 3

tests/integration/test_reads.py:306: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/api_annotations.py:26: in _wrap
    return timed_method(*args, **kwargs)
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/analytics.py:199: in tracked_method
    result = method(*args, **kwargs)
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/dataframe/dataframe.py:1861: in count_rows
    return count_df.to_pydict()["count"][0]
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/api_annotations.py:26: in _wrap
    return timed_method(*args, **kwargs)
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/analytics.py:199: in tracked_method
    result = method(*args, **kwargs)
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/dataframe/dataframe.py:3043: in to_pydict
    self.collect()
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/api_annotations.py:26: in _wrap
    return timed_method(*args, **kwargs)
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/analytics.py:199: in tracked_method
    result = method(*args, **kwargs)
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/dataframe/dataframe.py:2871: in collect
    self._broadcast_query_plan()
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/dataframe/dataframe.py:166: in _broadcast_query_plan
    if not dashboard._should_run():
../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/dashboard.py:34: in _should_run
    dashboard = dashboard_module()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    def dashboard_module():
        try:
            import daft_dashboard
        except ImportError:
>           warnings.warn(
                "Unable to import Daft's dashboard features"
                "Consider re-installing Daft with the 'dashboard' feature installed, e.g.:"
                'pip install "getdaft[dashboard]"'
            )
E           UserWarning: Unable to import Daft's dashboard featuresConsider re-installing Daft with the 'dashboard' feature installed, e.g.:pip install "getdaft[dashboard]"

../../../.cache/pypoetry/virtualenvs/pyiceberg-bKWKvoA4-py3.11/lib/python3.11/site-packages/daft/dashboard.py:19: UserWarning

[dependabot]

Superseded by #1758.