[BUG] Empty or null list(s) results in scrambled data

[chris-branch]

Parquet Viewer Version
2.10.1.1

Where was the parquet file created?
Parquet.NET

Description
There is something wrong with the code that parses lists/arrays. If you have a column that is a list/array type, and you have rows where that column is either empty (i.e., 0 elements) or null, ParquetViewer shows the data mixed up across rows. Examples:

In all examples below, assume the following schema:

    internal class TestRow
    {
        public string Column1 { get; set; }
        public List<double> Column2 { get; set; }

        public TestRow(string column1, List<double> column2)
        {
            Column1 = column1;
            Column2 = column2;
        }
    }

Example 1: This has no nulls or empty values and works as expected:

    List<TestRow> data1 = new List<TestRow>
    {
        new TestRow("Row 1", new List<double> { 1, 2, 3, 4, 5 }),
        new TestRow("Row 2", new List<double> { 6, 7, 8, 9, 10 }),
        new TestRow("Row 3", new List<double> { 11, 12, 13, 14, 15 })
    };
    ParquetSerializer.SerializeAsync(data1, @"sample1.parquet").Wait();

Example 2: This has an empty list in row 1 and results in scrambled data in rows 1-3

    List<TestRow> data2 = new List<TestRow>
    {
        new TestRow("Row 1", new List<double>()),
        new TestRow("Row 2", new List<double> { 6, 7, 8, 9, 10 }),
        new TestRow("Row 3", new List<double> { 11, 12, 13, 14, 15 })
    };
    ParquetSerializer.SerializeAsync(data2, @"sample2.parquet").Wait();

Example 3: This has an empty list in row 2 and results in scrambled data in rows 2-3

    List<TestRow> data3 = new List<TestRow>
    {
        new TestRow("Row 1", new List<double> { 1, 2, 3, 4, 5 }),
        new TestRow("Row 2", new List<double>()),
        new TestRow("Row 3", new List<double> { 11, 12, 13, 14, 15 })
    };
    ParquetSerializer.SerializeAsync(data3, @"sample3.parquet").Wait();

Sample files
sample_parquets.zip

[AndreiYachmeneu]

Here is another example:

import pyarrow as pa
import pyarrow.parquet as pq

arr = pa.array([["dog", "cat"], [], None], type=pa.list_(pa.string()))
tbl = pa.table([arr], names=['animals'])

pq.write_table(tbl, "animals.parquet")
print(pq.read_table("animals.parquet").to_pandas())

None displays as [] in ParquetViewer: