[BUG] Raise error when Ray Data tensor cannot be pickled and disable compliant nested types

[kevinzwang]

This solves some of our flaky unit tests that try to read a Ray dataset tensor type under a Pyarrow version that does not properly serialize it. Adds a new exception when we detect this issue, and also updates our pyarrow dependencies to 13.0.0.

I also found a separate bug upon upgrading to pyarrow, where versions >= 13.0.0 will use compliant Parquet nested type names by default (see apache/arrow#35146), which would then cause a discrepancy between the Parquet and Arrow schemas for extension types. This would lead to incorrect conversion from Parquet to Arrow when we would read a file. This PR disables that explicitly.

Finally I also added a coerce_temporal_nanoseconds parameter to to_pandas to revert it to its pre pyarrow>=13.0.0 behavior, which makes the sql integration tests pass again

Confirmed to raise proper error in local testing

[codecov]

Codecov Report

Attention: Patch coverage is 75.00000% with 6 lines in your changes missing coverage. Please review.

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Additional details and impacted files

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##             main    #2428   +/-   ##
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  Coverage        ?   63.03%           
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  Files           ?      939           
  Lines           ?   108079           
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  Hits            ?    68125           
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Files	Coverage Δ
daft/runners/partitioning.py	81.33% <ø> (ø)
daft/table/micropartition.py	91.07% <100.00%> (ø)
daft/table/table.py	58.17% <100.00%> (ø)
daft/table/table_io.py	88.99% <100.00%> (ø)
daft/dataframe/dataframe.py	88.80% <40.00%> (ø)

[jaychia]

Looks good!