internal/recipe/provision.py [54:82]:
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    spark.sql(
        f"""
        INSERT INTO default.test_uuid_and_fixed_unpartitioned VALUES
        ('102cb62f-e6f8-4eb0-9973-d9b012ff0967', CAST('1234567890123456789012345' AS BINARY)),
        ('ec33e4b2-a834-4cc3-8c4a-a1d3bfc2f226', CAST('1231231231231231231231231' AS BINARY)),
        ('639cccce-c9d2-494a-a78c-278ab234f024', CAST('12345678901234567ass12345' AS BINARY)),
        ('c1b0d8e0-0b0e-4b1e-9b0a-0e0b0d0c0a0b', CAST('asdasasdads12312312312111' AS BINARY)),
        ('923dae77-83d6-47cd-b4b0-d383e64ee57e', CAST('qweeqwwqq1231231231231111' AS BINARY));
        """
    )

    spark.sql(
        f"""
      CREATE OR REPLACE TABLE default.test_null_nan
      USING iceberg
      AS SELECT
        1            AS idx,
        float('NaN') AS col_numeric
    UNION ALL SELECT
        2            AS idx,
        null         AS col_numeric
    UNION ALL SELECT
        3            AS idx,
        1            AS col_numeric;
    """
    )

    spark.sql(
        f"""
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internal/recipe/provision.py [312:335]:
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    spark.sql(
        f"""
    CREATE TABLE default.test_table_empty_list_and_map (
        col_list             array<int>,
        col_map              map<int, int>,
        col_list_with_struct array<struct<test:int>>
    )
    USING iceberg
    TBLPROPERTIES (
        'format-version'='1'
    );
    """
    )

    spark.sql(
        f"""
    INSERT INTO default.test_table_empty_list_and_map
    VALUES (null, null, null),
           (array(), map(), array(struct(1)))
    """
    )

    spark.sql(
        f"""
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