inspect.entries() raises TypeError when a data file has no column_sizes #4186

import os, tempfile
import pyarrow as pa, pyarrow.parquet as pq
from pyiceberg.catalog.sql import SqlCatalog
from pyiceberg.manifest import DataFile, DataFileContent, FileFormat
from pyiceberg.typedef import Record

d = tempfile.mkdtemp()
cat = SqlCatalog("c", uri="sqlite:///:memory:", warehouse=f"file://{d}")
cat.create_namespace("ns")
t = cat.create_table("ns.t", schema=pa.schema([("x", pa.int64())]))

pq.write_table(pa.table({"x": [1]}), f"{d}/a.parquet")
f = DataFile.from_args(content=DataFileContent.DATA, file_path=f"file://{d}/a.parquet", file_format=FileFormat.PARQUET,
                       partition=Record(), record_count=1, file_size_in_bytes=os.path.getsize(f"{d}/a.parquet"))
with t.transaction() as tx:
    with tx.update_snapshot().fast_append() as fa:
        fa.append_data_file(f)

t.inspect.entries()
# TypeError: 'NoneType' object is not iterable, should be one row with column_sizes None