feat!: set allow_large_results=False by default

[shobsi]

This is to optimize small result operations (which are more common). If the result can exceed 10MB, set bigframes.pandas.options.bigquery.allow_large_results=True explicitly.

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Fixes internal issue 394658588 🦕

[tswast]

Looks like we need to update the benchmark script. Some metrics aren't available yet with allow_large_results=False. googleapis/python-bigquery#1996 has been closed, but I don't think we've updated bigframes to take advantage of it yet.

nox > python scripts/run_and_publish_benchmark.py --notebook --publish-benchmarks=notebooks/
Traceback (most recent call last):
  File "/tmpfs/src/github/python-bigquery-dataframes/scripts/run_and_publish_benchmark.py", line 486, in <module>
    main()
  File "/tmpfs/src/github/python-bigquery-dataframes/scripts/run_and_publish_benchmark.py", line 447, in main
    benchmark_metrics, error_message = collect_benchmark_result(
  File "/tmpfs/src/github/python-bigquery-dataframes/scripts/run_and_publish_benchmark.py", line 102, in collect_benchmark_result
    raise ValueError(
ValueError: Mismatch in the number of report files for bytes, millis, seconds and query char count.

[shobsi]

Waiting for #1545 to go in first to fix the benchmarking script failure.