Datasets:

lolbench26
/

LoLBench

diff --git a/python/pyarrow/tests/parquet/test_parquet_writer_cdc_aug.py b/python/pyarrow/tests/parquet/test_parquet_writer_cdc_aug.py
new file mode 100644
--- /dev/null
+++ b/python/pyarrow/tests/parquet/test_parquet_writer_cdc_aug.py
@@ -0,0 +1,303 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# LoLBench augmentation suite for Apache Arrow PR-45360 (Content-Defined
+# Chunking).  These F2P tests are designed to kill the surviving mutants in
+# mutations/Apache-Arrow_Issue-45750_..._PR-45360/ that the original F2P
+# (test_parquet_content_defined_chunking, test_parquet_content_defined_chunking_parameters)
+# do not fully cover.
+#
+# Public API only: pyarrow.parquet.write_table, pyarrow.parquet.read_table,
+# pyarrow.parquet.read_metadata, and pyarrow.parquet.ParquetFile.  This file
+# does not reference any underscore-prefixed PyArrow submodule, any C++
+# detail/internal namespace, or any non-exported helper.  The surface gate
+# (classify_test_surface.py) checks for that.
+
+from decimal import Decimal
+
+import pytest
+
+import pyarrow as pa
+import pyarrow.parquet as pq
+
+
+def _row_group_total_byte_size(path):
+    meta = pq.read_metadata(path)
+    return sum(meta.row_group(i).total_byte_size
+               for i in range(meta.num_row_groups))
+
+
+def _stable_int_table(n_rows):
+    # Deterministic, non-repetitive payload large enough that the default
+    # 256 KiB / 1 MiB CDC window can fire multiple cuts on the int64 column.
+    # range(n_rows) at int64 is 8 * n_rows bytes; 400_000 rows ~= 3.2 MiB.
+    return pa.table({'a': pa.array(range(n_rows), type=pa.int64())})
+
+
+def _mixed_physical_table(n_rows):
+    indices = pa.array(
+        [None if i % 19 == 0 else i % 8 for i in range(n_rows)],
+        type=pa.int32())
+    dictionary = pa.array([f'dict-{j}' for j in range(8)], type=pa.string())
+    list_values = [
+        None if i % 17 == 0
+        else [i, None if i % 5 == 0 else i + 1, i + 2]
+        for i in range(n_rows)
+    ]
+    fixed_values = [
+        ((i & 0xffffffff).to_bytes(4, 'little') +
+         ((i * 17) & 0xffffffff).to_bytes(4, 'little'))
+        for i in range(n_rows)
+    ]
+    return pa.table({
+        'flag': pa.array([(i % 3) == 0 for i in range(n_rows)],
+                         type=pa.bool_()),
+        'nullable_i32': pa.array(
+            [None if i % 11 == 0 else i for i in range(n_rows)],
+            type=pa.int32()),
+        'fixed8': pa.array(fixed_values, type=pa.binary(8)),
+        'large_text': pa.array(
+            [f'large-{i:08d}-' + 'abcdefghij' * 4
+             for i in range(n_rows)],
+            type=pa.large_string()),
+        'amount': pa.array([Decimal(i % 100000) for i in range(n_rows)],
+                           type=pa.decimal128(18, 0)),
+        'items': pa.array(list_values, type=pa.list_(pa.int32())),
+        'dict_text': pa.DictionaryArray.from_arrays(indices, dictionary),
+    })
+
+
+def test_cdc_dict_min_chunk_size_affects_output_size(tempdir):
+    """A larger min_chunk_size must suppress fine-grained cutpoints and yield
+    a smaller total_byte_size than a tiny min_chunk_size, when max_chunk_size
+    is held constant.
+
+    Kills surviving mutants:
+      * mutant_002 (dict path disables CDC) — both files identical
+      * mutant_003 (no hash cutpoints) — min_chunk_size has no effect; both
+        files are split identically at max
+      * mutant_004 (no page flush) — chunks computed but not flushed; both
+        files identical to CDC=False output
+    """
+    table = _stable_int_table(400_000)
+
+    fine_path = tempdir / 'cdc_min_fine.parquet'
+    coarse_path = tempdir / 'cdc_min_coarse.parquet'
+
+    pq.write_table(table, fine_path,
+                   use_dictionary=False,
+                   column_encoding="PLAIN",
+                   use_content_defined_chunking={
+                       "min_chunk_size": 4 * 1024,
+                       "max_chunk_size": 64 * 1024,
+                   })
+    pq.write_table(table, coarse_path,
+                   use_dictionary=False,
+                   column_encoding="PLAIN",
+                   use_content_defined_chunking={
+                       "min_chunk_size": 32 * 1024,
+                       "max_chunk_size": 64 * 1024,
+                   })
+
+    # Round-trip data must be identical (no CDC bug should lose rows).
+    assert pq.read_table(fine_path).equals(table)
+    assert pq.read_table(coarse_path).equals(table)
+
+    fine_size = _row_group_total_byte_size(fine_path)
+    coarse_size = _row_group_total_byte_size(coarse_path)
+
+    # Golden: smaller min => more hash-driven cutpoints => more pages =>
+    # strictly larger reported total_byte_size.  Even a 5% delta is enough
+    # to distinguish from any of the surviving mutants, which produce
+    # identical sizes for the two configs.
+    assert fine_size > coarse_size, (
+        f"expected min_chunk_size=4KiB to produce a larger total_byte_size "
+        f"than min_chunk_size=32KiB with max=64KiB held constant; got "
+        f"fine={fine_size} coarse={coarse_size}"
+    )
+
+
+def test_cdc_dict_norm_level_affects_output_size(tempdir):
+    """norm_level must measurably shift the chunk-size distribution.  A
+    positive norm_level widens the hash mask, raising the probability of a
+    cutpoint and shrinking the average chunk -> more pages -> larger
+    total_byte_size than norm_level=0.
+
+    Kills surviving mutants:
+      * mutant_002 (dict path disables CDC) — both files identical to CDC=off
+      * mutant_003 (no hash cutpoints) — norm_level controls only the hash
+        mask; without recorded matches it has no effect
+      * mutant_004 (no page flush) — chunks computed but not flushed; both
+        files identical to CDC=off output
+    """
+    table = _stable_int_table(400_000)
+
+    norm0_path = tempdir / 'cdc_norm0.parquet'
+    norm2_path = tempdir / 'cdc_norm2.parquet'
+
+    pq.write_table(table, norm0_path,
+                   use_dictionary=False,
+                   column_encoding="PLAIN",
+                   use_content_defined_chunking={
+                       "min_chunk_size": 8 * 1024,
+                       "max_chunk_size": 64 * 1024,
+                       "norm_level": 0,
+                   })
+    pq.write_table(table, norm2_path,
+                   use_dictionary=False,
+                   column_encoding="PLAIN",
+                   use_content_defined_chunking={
+                       "min_chunk_size": 8 * 1024,
+                       "max_chunk_size": 64 * 1024,
+                       "norm_level": 2,
+                   })
+
+    assert pq.read_table(norm0_path).equals(table)
+    assert pq.read_table(norm2_path).equals(table)
+
+    norm0_size = _row_group_total_byte_size(norm0_path)
+    norm2_size = _row_group_total_byte_size(norm2_path)
+
+    # Under the golden patch, norm_level=2 produces measurably more cuts
+    # (smaller average chunks) and therefore a larger total_byte_size.
+    assert norm2_size > norm0_size, (
+        f"expected norm_level=2 to produce a larger total_byte_size than "
+        f"norm_level=0 with identical min/max; got norm0={norm0_size} "
+        f"norm2={norm2_size}"
+    )
+
+
+def test_cdc_true_changes_layout_vs_false_on_string_column(tempdir):
+    """CDC=True must change the on-disk layout (relative to CDC=False) for a
+    string column large enough to span multiple default chunks.  This both
+    extends coverage to the string-typed branch of the chunker dispatch and
+    re-kills mutant_001 / mutant_004 through a different data shape than the
+    existing test_parquet_content_defined_chunking (which uses int64 only).
+
+    Kills surviving mutants:
+      * mutant_001 (True silently disables CDC) — CDC=True file is byte-
+        identical to CDC=False file
+      * mutant_004 (no page flush) — CDC=True file has the same row-group
+        layout as CDC=False
+    """
+    # ~5 MiB of payload across 50_000 rows of 100-byte strings; comfortably
+    # above the default 256 KiB / 1 MiB CDC window so multiple cuts fire.
+    values = [(f"row-{i:08d}-" + "x" * 80) for i in range(50_000)]
+    table = pa.table({'s': pa.array(values, type=pa.string())})
+
+    cdc_off_path = tempdir / 'cdc_off_string.parquet'
+    cdc_on_path = tempdir / 'cdc_on_string.parquet'
+
+    pq.write_table(table, cdc_off_path,
+                   use_dictionary=False,
+                   column_encoding="PLAIN",
+                   use_content_defined_chunking=False)
+    pq.write_table(table, cdc_on_path,
+                   use_dictionary=False,
+                   column_encoding="PLAIN",
+                   use_content_defined_chunking=True)
+
+    # Data must round-trip identically under both settings.
+    assert pq.read_table(cdc_off_path).equals(table)
+    assert pq.read_table(cdc_on_path).equals(table)
+
+    off_size = _row_group_total_byte_size(cdc_off_path)
+    on_size = _row_group_total_byte_size(cdc_on_path)
+
+    # CDC=True must visibly change the page layout for a multi-chunk string
+    # column.  Existing F2P uses int64; this catches mutants that only break
+    # the chunker dispatch on non-numeric types or that disable the True
+    # branch silently.
+    assert on_size > off_size, (
+        f"expected use_content_defined_chunking=True to increase the "
+        f"reported total_byte_size on a multi-chunk string column; got "
+        f"off={off_size} on={on_size}"
+    )
+
+
+def test_cdc_mixed_physical_layouts_roundtrip_and_change_layout(tempdir):
+    """CDC must work through public writes for the physical layouts Arrow
+    commonly maps to Parquet pages: booleans, nullable fixed-width values,
+    fixed-size binary, large strings, decimals, nested list values, and
+    dictionary arrays.  This reaches chunker branches not covered by the
+    original int64-only F2P while keeping the oracle at the public Parquet
+    read/write surface.
+    """
+    table = _mixed_physical_table(50_000)
+
+    cdc_off_path = tempdir / 'cdc_off_mixed.parquet'
+    cdc_on_path = tempdir / 'cdc_on_mixed.parquet'
+
+    pq.write_table(table, cdc_off_path,
+                   row_group_size=table.num_rows,
+                   use_content_defined_chunking=False)
+    pq.write_table(table, cdc_on_path,
+                   row_group_size=table.num_rows,
+                   use_content_defined_chunking={
+                       "min_chunk_size": 4 * 1024,
+                       "max_chunk_size": 32 * 1024,
+                       "norm_level": 1,
+                   })
+
+    got = pq.read_table(cdc_on_path)
+    assert got.num_rows == table.num_rows
+    assert got.column('nullable_i32').to_pylist() == (
+        table.column('nullable_i32').to_pylist())
+    assert got.column('items').to_pylist() == table.column('items').to_pylist()
+
+    off_size = _row_group_total_byte_size(cdc_off_path)
+    on_size = _row_group_total_byte_size(cdc_on_path)
+    assert on_size > off_size, (
+        f"expected CDC to change the metadata-visible page layout for "
+        f"mixed physical columns; got off={off_size} on={on_size}"
+    )
+
+
+def test_cdc_true_determinism_across_repeated_writes(tempdir):
+    """Two writes of the same table with use_content_defined_chunking=True
+    must produce byte-identical files.  The CDC chunker is deterministic for
+    a given input (rolling hash + fixed mask), so the file size, row-group
+    count, and per-row-group total_byte_size must all match.
+
+    This is a sanity check that reinforces F2P-cov: it exercises the CDC
+    code path twice in the same test and confirms the deterministic-rollback
+    property called out in the requirement doc ("ensuring that identical
+    data segments are consistently chunked in the same manner").
+    """
+    table = _stable_int_table(200_000)
+
+    a_path = tempdir / 'cdc_det_a.parquet'
+    b_path = tempdir / 'cdc_det_b.parquet'
+
+    for p in (a_path, b_path):
+        pq.write_table(table, p,
+                       use_dictionary=False,
+                       column_encoding="PLAIN",
+                       use_content_defined_chunking=True)
+
+    a_meta = pq.read_metadata(a_path)
+    b_meta = pq.read_metadata(b_path)
+
+    assert a_meta.num_row_groups == b_meta.num_row_groups
+    a_sizes = [a_meta.row_group(i).total_byte_size
+               for i in range(a_meta.num_row_groups)]
+    b_sizes = [b_meta.row_group(i).total_byte_size
+               for i in range(b_meta.num_row_groups)]
+    assert a_sizes == b_sizes, (
+        f"CDC must be deterministic across repeated writes of the same "
+        f"data; got {a_sizes} vs {b_sizes}"
+    )
diff --git a/python/pyarrow/tests/parquet/test_parquet_writer_stability_aug.py b/python/pyarrow/tests/parquet/test_parquet_writer_stability_aug.py
new file mode 100644
--- /dev/null
+++ b/python/pyarrow/tests/parquet/test_parquet_writer_stability_aug.py
@@ -0,0 +1,153 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# LoLBench augmentation suite for Apache Arrow PR-45360 — P2P (stability)
+# tests.
+#
+# Scope: behaviors the requirement doc promises remain unchanged when the
+# new ``use_content_defined_chunking`` argument is not used.  Each test
+# below uses ONLY pre-PR public API (no reference to
+# ``use_content_defined_chunking`` in any form) so it must pass at
+# ``base_commit`` as well as at ``base_commit + solution.patch`` and under
+# every surviving mutant — those mutants only change CDC-related code paths.
+#
+# Public API only: pyarrow.parquet.{write_table, read_table, read_metadata,
+# ParquetWriter, ParquetFile}.  No internal symbols referenced.
+
+import pyarrow as pa
+import pyarrow.parquet as pq
+
+
+def _basic_int_table(n_rows=1000):
+    return pa.table({'a': pa.array(range(n_rows), type=pa.int64()),
+                     'b': pa.array([float(i) for i in range(n_rows)],
+                                   type=pa.float64())})
+
+
+def test_writer_default_no_cdc_arg_roundtrip(tempdir):
+    """Calling write_table with no CDC-related argument must round-trip the
+    data identically, with the schema preserved.  This pins the
+    backwards-compat clause that the new optional parameter is purely
+    additive."""
+    table = _basic_int_table(2000)
+    path = tempdir / 'default_roundtrip.parquet'
+    pq.write_table(table, path)
+
+    got = pq.read_table(path)
+    assert got.equals(table)
+    assert got.schema.equals(table.schema)
+
+
+def test_writer_compression_snappy_roundtrip_unchanged(tempdir):
+    """The pre-existing ``compression`` argument must continue to control
+    on-disk compression independently of any CDC machinery."""
+    table = _basic_int_table(2000)
+    path = tempdir / 'snappy.parquet'
+    pq.write_table(table, path, compression='snappy')
+
+    got = pq.read_table(path)
+    assert got.equals(table)
+    # Metadata must surface the requested compression.
+    meta = pq.read_metadata(path)
+    rg = meta.row_group(0)
+    for col in range(rg.num_columns):
+        assert rg.column(col).compression.lower() == 'snappy'
+
+
+# NOTE: a column_encoding-honoured P2P probe was attempted but dropped
+# from the augmented suite.  Probing with DELTA_BINARY_PACKED (the only
+# non-default option that could differentiate against use_dictionary=False
+# defaults of PLAIN) interacts with the PR's CDC initialization path and
+# surfaces an unrelated OSError at write_table call time at this base_commit.
+# Probing with PLAIN cannot be differentiated from the no-dict default,
+# which collapses the oracle.  Rather than ship a flaky P2P we omit this
+# clause from the augmented suite; the no_modification clause for
+# 'column_encoding' is not pinned by an augmented test.  Six other P2P
+# (default writer, compression, data_page_size, ParquetWriter context
+# manager, read_metadata, ParquetFile.read_row_group) cover the remaining
+# no-modification surface.
+
+
+def test_writer_data_page_size_unchanged(tempdir):
+    """Pre-existing ``data_page_size`` argument: a smaller data-page size
+    must produce a measurably larger reported total_byte_size than a larger
+    one, with no CDC argument involved."""
+    table = pa.table({'a': pa.array(range(100_000), type=pa.int64())})
+    small_path = tempdir / 'page_small.parquet'
+    large_path = tempdir / 'page_large.parquet'
+
+    pq.write_table(table, small_path,
+                   use_dictionary=False,
+                   column_encoding='PLAIN',
+                   data_page_size=8 * 1024)
+    pq.write_table(table, large_path,
+                   use_dictionary=False,
+                   column_encoding='PLAIN',
+                   data_page_size=512 * 1024)
+
+    small_meta = pq.read_metadata(small_path)
+    large_meta = pq.read_metadata(large_path)
+    small_total = sum(small_meta.row_group(i).total_byte_size
+                      for i in range(small_meta.num_row_groups))
+    large_total = sum(large_meta.row_group(i).total_byte_size
+                      for i in range(large_meta.num_row_groups))
+    assert small_total > large_total, (
+        f"data_page_size=8KiB should produce a larger reported total than "
+        f"512KiB; got small={small_total} large={large_total}"
+    )
+
+
+def test_parquet_writer_context_manager_default_path(tempdir):
+    """ParquetWriter usable as a context manager with no CDC argument; the
+    pre-PR contract (constructor, write_table, close-on-exit) must still
+    hold."""
+    table = _basic_int_table(1500)
+    path = tempdir / 'context_writer.parquet'
+    with pq.ParquetWriter(str(path), table.schema) as writer:
+        writer.write_table(table)
+    got = pq.read_table(path)
+    assert got.equals(table)
+
+
+def test_read_metadata_for_default_file_unchanged_shape(tempdir):
+    """``read_metadata`` must report the expected row-group count and schema
+    for a vanilla file (no CDC argument).  Pins the read-side
+    no-modification promise: nothing about default-written files moves."""
+    table = _basic_int_table(5000)
+    path = tempdir / 'default_meta.parquet'
+    pq.write_table(table, path)
+
+    meta = pq.read_metadata(path)
+    assert meta.num_rows == 5000
+    assert meta.num_columns == 2
+    # Schema columns by name match input schema.
+    names = [meta.schema.column(i).name for i in range(meta.num_columns)]
+    assert names == ['a', 'b']
+
+
+def test_parquet_file_read_row_group_default_unchanged(tempdir):
+    """``ParquetFile.read_row_group`` must work on a default-written file
+    and return data that ``equals`` the original."""
+    table = _basic_int_table(3000)
+    path = tempdir / 'default_rg.parquet'
+    pq.write_table(table, path, row_group_size=1000)
+
+    pf = pq.ParquetFile(path)
+    assert pf.num_row_groups == 3
+    chunks = [pf.read_row_group(i) for i in range(pf.num_row_groups)]
+    full = pa.concat_tables(chunks)
+    assert full.equals(table)

	diff --git a/python/pyarrow/tests/parquet/test_parquet_writer_cdc_aug.py b/python/pyarrow/tests/parquet/test_parquet_writer_cdc_aug.py
	new file mode 100644
	--- /dev/null
	+++ b/python/pyarrow/tests/parquet/test_parquet_writer_cdc_aug.py
	@@ -0,0 +1,303 @@
	+# Licensed to the Apache Software Foundation (ASF) under one
	+# or more contributor license agreements. See the NOTICE file
	+# distributed with this work for additional information
	+# regarding copyright ownership. The ASF licenses this file
	+# to you under the Apache License, Version 2.0 (the
	+# "License"); you may not use this file except in compliance
	+# with the License. You may obtain a copy of the License at
	+#
	+# http://www.apache.org/licenses/LICENSE-2.0
	+#
	+# Unless required by applicable law or agreed to in writing,
	+# software distributed under the License is distributed on an
	+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
	+# KIND, either express or implied. See the License for the
	+# specific language governing permissions and limitations
	+# under the License.
	+
	+# LoLBench augmentation suite for Apache Arrow PR-45360 (Content-Defined
	+# Chunking). These F2P tests are designed to kill the surviving mutants in
	+# mutations/Apache-Arrow_Issue-45750_..._PR-45360/ that the original F2P
	+# (test_parquet_content_defined_chunking, test_parquet_content_defined_chunking_parameters)
	+# do not fully cover.
	+#
	+# Public API only: pyarrow.parquet.write_table, pyarrow.parquet.read_table,
	+# pyarrow.parquet.read_metadata, and pyarrow.parquet.ParquetFile. This file
	+# does not reference any underscore-prefixed PyArrow submodule, any C++
	+# detail/internal namespace, or any non-exported helper. The surface gate
	+# (classify_test_surface.py) checks for that.
	+
	+from decimal import Decimal
	+
	+import pytest
	+
	+import pyarrow as pa
	+import pyarrow.parquet as pq
	+
	+
	+def _row_group_total_byte_size(path):
	+ meta = pq.read_metadata(path)
	+ return sum(meta.row_group(i).total_byte_size
	+ for i in range(meta.num_row_groups))
	+
	+
	+def _stable_int_table(n_rows):
	+ # Deterministic, non-repetitive payload large enough that the default
	+ # 256 KiB / 1 MiB CDC window can fire multiple cuts on the int64 column.
	+ # range(n_rows) at int64 is 8 * n_rows bytes; 400_000 rows ~= 3.2 MiB.
	+ return pa.table({'a': pa.array(range(n_rows), type=pa.int64())})
	+
	+
	+def _mixed_physical_table(n_rows):
	+ indices = pa.array(
	+ [None if i % 19 == 0 else i % 8 for i in range(n_rows)],
	+ type=pa.int32())
	+ dictionary = pa.array([f'dict-{j}' for j in range(8)], type=pa.string())
	+ list_values = [
	+ None if i % 17 == 0
	+ else [i, None if i % 5 == 0 else i + 1, i + 2]
	+ for i in range(n_rows)
	+ ]
	+ fixed_values = [
	+ ((i & 0xffffffff).to_bytes(4, 'little') +
	+ ((i * 17) & 0xffffffff).to_bytes(4, 'little'))
	+ for i in range(n_rows)
	+ ]
	+ return pa.table({
	+ 'flag': pa.array([(i % 3) == 0 for i in range(n_rows)],
	+ type=pa.bool_()),
	+ 'nullable_i32': pa.array(
	+ [None if i % 11 == 0 else i for i in range(n_rows)],
	+ type=pa.int32()),
	+ 'fixed8': pa.array(fixed_values, type=pa.binary(8)),
	+ 'large_text': pa.array(
	+ [f'large-{i:08d}-' + 'abcdefghij' * 4
	+ for i in range(n_rows)],
	+ type=pa.large_string()),
	+ 'amount': pa.array([Decimal(i % 100000) for i in range(n_rows)],
	+ type=pa.decimal128(18, 0)),
	+ 'items': pa.array(list_values, type=pa.list_(pa.int32())),
	+ 'dict_text': pa.DictionaryArray.from_arrays(indices, dictionary),
	+ })
	+
	+
	+def test_cdc_dict_min_chunk_size_affects_output_size(tempdir):
	+ """A larger min_chunk_size must suppress fine-grained cutpoints and yield
	+ a smaller total_byte_size than a tiny min_chunk_size, when max_chunk_size
	+ is held constant.
	+
	+ Kills surviving mutants:
	+ * mutant_002 (dict path disables CDC) — both files identical
	+ * mutant_003 (no hash cutpoints) — min_chunk_size has no effect; both
	+ files are split identically at max
	+ * mutant_004 (no page flush) — chunks computed but not flushed; both
	+ files identical to CDC=False output
	+ """
	+ table = _stable_int_table(400_000)
	+
	+ fine_path = tempdir / 'cdc_min_fine.parquet'
	+ coarse_path = tempdir / 'cdc_min_coarse.parquet'
	+
	+ pq.write_table(table, fine_path,
	+ use_dictionary=False,
	+ column_encoding="PLAIN",
	+ use_content_defined_chunking={
	+ "min_chunk_size": 4 * 1024,
	+ "max_chunk_size": 64 * 1024,
	+ })
	+ pq.write_table(table, coarse_path,
	+ use_dictionary=False,
	+ column_encoding="PLAIN",
	+ use_content_defined_chunking={
	+ "min_chunk_size": 32 * 1024,
	+ "max_chunk_size": 64 * 1024,
	+ })
	+
	+ # Round-trip data must be identical (no CDC bug should lose rows).
	+ assert pq.read_table(fine_path).equals(table)
	+ assert pq.read_table(coarse_path).equals(table)
	+
	+ fine_size = _row_group_total_byte_size(fine_path)
	+ coarse_size = _row_group_total_byte_size(coarse_path)
	+
	+ # Golden: smaller min => more hash-driven cutpoints => more pages =>
	+ # strictly larger reported total_byte_size. Even a 5% delta is enough
	+ # to distinguish from any of the surviving mutants, which produce
	+ # identical sizes for the two configs.
	+ assert fine_size > coarse_size, (
	+ f"expected min_chunk_size=4KiB to produce a larger total_byte_size "
	+ f"than min_chunk_size=32KiB with max=64KiB held constant; got "
	+ f"fine={fine_size} coarse={coarse_size}"
	+ )
	+
	+
	+def test_cdc_dict_norm_level_affects_output_size(tempdir):
	+ """norm_level must measurably shift the chunk-size distribution. A
	+ positive norm_level widens the hash mask, raising the probability of a
	+ cutpoint and shrinking the average chunk -> more pages -> larger
	+ total_byte_size than norm_level=0.
	+
	+ Kills surviving mutants:
	+ * mutant_002 (dict path disables CDC) — both files identical to CDC=off
	+ * mutant_003 (no hash cutpoints) — norm_level controls only the hash
	+ mask; without recorded matches it has no effect
	+ * mutant_004 (no page flush) — chunks computed but not flushed; both
	+ files identical to CDC=off output
	+ """
	+ table = _stable_int_table(400_000)
	+
	+ norm0_path = tempdir / 'cdc_norm0.parquet'
	+ norm2_path = tempdir / 'cdc_norm2.parquet'
	+
	+ pq.write_table(table, norm0_path,
	+ use_dictionary=False,
	+ column_encoding="PLAIN",
	+ use_content_defined_chunking={
	+ "min_chunk_size": 8 * 1024,
	+ "max_chunk_size": 64 * 1024,
	+ "norm_level": 0,
	+ })
	+ pq.write_table(table, norm2_path,
	+ use_dictionary=False,
	+ column_encoding="PLAIN",
	+ use_content_defined_chunking={
	+ "min_chunk_size": 8 * 1024,
	+ "max_chunk_size": 64 * 1024,
	+ "norm_level": 2,
	+ })
	+
	+ assert pq.read_table(norm0_path).equals(table)
	+ assert pq.read_table(norm2_path).equals(table)
	+
	+ norm0_size = _row_group_total_byte_size(norm0_path)
	+ norm2_size = _row_group_total_byte_size(norm2_path)
	+
	+ # Under the golden patch, norm_level=2 produces measurably more cuts
	+ # (smaller average chunks) and therefore a larger total_byte_size.
	+ assert norm2_size > norm0_size, (
	+ f"expected norm_level=2 to produce a larger total_byte_size than "
	+ f"norm_level=0 with identical min/max; got norm0={norm0_size} "
	+ f"norm2={norm2_size}"
	+ )
	+
	+
	+def test_cdc_true_changes_layout_vs_false_on_string_column(tempdir):
	+ """CDC=True must change the on-disk layout (relative to CDC=False) for a
	+ string column large enough to span multiple default chunks. This both
	+ extends coverage to the string-typed branch of the chunker dispatch and
	+ re-kills mutant_001 / mutant_004 through a different data shape than the
	+ existing test_parquet_content_defined_chunking (which uses int64 only).
	+
	+ Kills surviving mutants:
	+ * mutant_001 (True silently disables CDC) — CDC=True file is byte-
	+ identical to CDC=False file
	+ * mutant_004 (no page flush) — CDC=True file has the same row-group
	+ layout as CDC=False
	+ """
	+ # ~5 MiB of payload across 50_000 rows of 100-byte strings; comfortably
	+ # above the default 256 KiB / 1 MiB CDC window so multiple cuts fire.
	+ values = [(f"row-{i:08d}-" + "x" * 80) for i in range(50_000)]
	+ table = pa.table({'s': pa.array(values, type=pa.string())})
	+
	+ cdc_off_path = tempdir / 'cdc_off_string.parquet'
	+ cdc_on_path = tempdir / 'cdc_on_string.parquet'
	+
	+ pq.write_table(table, cdc_off_path,
	+ use_dictionary=False,
	+ column_encoding="PLAIN",
	+ use_content_defined_chunking=False)
	+ pq.write_table(table, cdc_on_path,
	+ use_dictionary=False,
	+ column_encoding="PLAIN",
	+ use_content_defined_chunking=True)
	+
	+ # Data must round-trip identically under both settings.
	+ assert pq.read_table(cdc_off_path).equals(table)
	+ assert pq.read_table(cdc_on_path).equals(table)
	+
	+ off_size = _row_group_total_byte_size(cdc_off_path)
	+ on_size = _row_group_total_byte_size(cdc_on_path)
	+
	+ # CDC=True must visibly change the page layout for a multi-chunk string
	+ # column. Existing F2P uses int64; this catches mutants that only break
	+ # the chunker dispatch on non-numeric types or that disable the True
	+ # branch silently.
	+ assert on_size > off_size, (
	+ f"expected use_content_defined_chunking=True to increase the "
	+ f"reported total_byte_size on a multi-chunk string column; got "
	+ f"off={off_size} on={on_size}"
	+ )
	+
	+
	+def test_cdc_mixed_physical_layouts_roundtrip_and_change_layout(tempdir):
	+ """CDC must work through public writes for the physical layouts Arrow
	+ commonly maps to Parquet pages: booleans, nullable fixed-width values,
	+ fixed-size binary, large strings, decimals, nested list values, and
	+ dictionary arrays. This reaches chunker branches not covered by the
	+ original int64-only F2P while keeping the oracle at the public Parquet
	+ read/write surface.
	+ """
	+ table = _mixed_physical_table(50_000)
	+
	+ cdc_off_path = tempdir / 'cdc_off_mixed.parquet'
	+ cdc_on_path = tempdir / 'cdc_on_mixed.parquet'
	+
	+ pq.write_table(table, cdc_off_path,
	+ row_group_size=table.num_rows,
	+ use_content_defined_chunking=False)
	+ pq.write_table(table, cdc_on_path,
	+ row_group_size=table.num_rows,
	+ use_content_defined_chunking={
	+ "min_chunk_size": 4 * 1024,
	+ "max_chunk_size": 32 * 1024,
	+ "norm_level": 1,
	+ })
	+
	+ got = pq.read_table(cdc_on_path)
	+ assert got.num_rows == table.num_rows
	+ assert got.column('nullable_i32').to_pylist() == (
	+ table.column('nullable_i32').to_pylist())
	+ assert got.column('items').to_pylist() == table.column('items').to_pylist()
	+
	+ off_size = _row_group_total_byte_size(cdc_off_path)
	+ on_size = _row_group_total_byte_size(cdc_on_path)
	+ assert on_size > off_size, (
	+ f"expected CDC to change the metadata-visible page layout for "
	+ f"mixed physical columns; got off={off_size} on={on_size}"
	+ )
	+
	+
	+def test_cdc_true_determinism_across_repeated_writes(tempdir):
	+ """Two writes of the same table with use_content_defined_chunking=True
	+ must produce byte-identical files. The CDC chunker is deterministic for
	+ a given input (rolling hash + fixed mask), so the file size, row-group
	+ count, and per-row-group total_byte_size must all match.
	+
	+ This is a sanity check that reinforces F2P-cov: it exercises the CDC
	+ code path twice in the same test and confirms the deterministic-rollback
	+ property called out in the requirement doc ("ensuring that identical
	+ data segments are consistently chunked in the same manner").
	+ """
	+ table = _stable_int_table(200_000)
	+
	+ a_path = tempdir / 'cdc_det_a.parquet'
	+ b_path = tempdir / 'cdc_det_b.parquet'
	+
	+ for p in (a_path, b_path):
	+ pq.write_table(table, p,
	+ use_dictionary=False,
	+ column_encoding="PLAIN",
	+ use_content_defined_chunking=True)
	+
	+ a_meta = pq.read_metadata(a_path)
	+ b_meta = pq.read_metadata(b_path)
	+
	+ assert a_meta.num_row_groups == b_meta.num_row_groups
	+ a_sizes = [a_meta.row_group(i).total_byte_size
	+ for i in range(a_meta.num_row_groups)]
	+ b_sizes = [b_meta.row_group(i).total_byte_size
	+ for i in range(b_meta.num_row_groups)]
	+ assert a_sizes == b_sizes, (
	+ f"CDC must be deterministic across repeated writes of the same "
	+ f"data; got {a_sizes} vs {b_sizes}"
	+ )
	diff --git a/python/pyarrow/tests/parquet/test_parquet_writer_stability_aug.py b/python/pyarrow/tests/parquet/test_parquet_writer_stability_aug.py
	new file mode 100644
	--- /dev/null
	+++ b/python/pyarrow/tests/parquet/test_parquet_writer_stability_aug.py
	@@ -0,0 +1,153 @@
	+# Licensed to the Apache Software Foundation (ASF) under one
	+# or more contributor license agreements. See the NOTICE file
	+# distributed with this work for additional information
	+# regarding copyright ownership. The ASF licenses this file
	+# to you under the Apache License, Version 2.0 (the
	+# "License"); you may not use this file except in compliance
	+# with the License. You may obtain a copy of the License at
	+#
	+# http://www.apache.org/licenses/LICENSE-2.0
	+#
	+# Unless required by applicable law or agreed to in writing,
	+# software distributed under the License is distributed on an
	+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
	+# KIND, either express or implied. See the License for the
	+# specific language governing permissions and limitations
	+# under the License.
	+
	+# LoLBench augmentation suite for Apache Arrow PR-45360 — P2P (stability)
	+# tests.
	+#
	+# Scope: behaviors the requirement doc promises remain unchanged when the
	+# new ``use_content_defined_chunking`` argument is not used. Each test
	+# below uses ONLY pre-PR public API (no reference to
	+# ``use_content_defined_chunking`` in any form) so it must pass at
	+# ``base_commit`` as well as at ``base_commit + solution.patch`` and under
	+# every surviving mutant — those mutants only change CDC-related code paths.
	+#
	+# Public API only: pyarrow.parquet.{write_table, read_table, read_metadata,
	+# ParquetWriter, ParquetFile}. No internal symbols referenced.
	+
	+import pyarrow as pa
	+import pyarrow.parquet as pq
	+
	+
	+def _basic_int_table(n_rows=1000):
	+ return pa.table({'a': pa.array(range(n_rows), type=pa.int64()),
	+ 'b': pa.array([float(i) for i in range(n_rows)],
	+ type=pa.float64())})
	+
	+
	+def test_writer_default_no_cdc_arg_roundtrip(tempdir):
	+ """Calling write_table with no CDC-related argument must round-trip the
	+ data identically, with the schema preserved. This pins the
	+ backwards-compat clause that the new optional parameter is purely
	+ additive."""
	+ table = _basic_int_table(2000)
	+ path = tempdir / 'default_roundtrip.parquet'
	+ pq.write_table(table, path)
	+
	+ got = pq.read_table(path)
	+ assert got.equals(table)
	+ assert got.schema.equals(table.schema)
	+
	+
	+def test_writer_compression_snappy_roundtrip_unchanged(tempdir):
	+ """The pre-existing ``compression`` argument must continue to control
	+ on-disk compression independently of any CDC machinery."""
	+ table = _basic_int_table(2000)
	+ path = tempdir / 'snappy.parquet'
	+ pq.write_table(table, path, compression='snappy')
	+
	+ got = pq.read_table(path)
	+ assert got.equals(table)
	+ # Metadata must surface the requested compression.
	+ meta = pq.read_metadata(path)
	+ rg = meta.row_group(0)
	+ for col in range(rg.num_columns):
	+ assert rg.column(col).compression.lower() == 'snappy'
	+
	+
	+# NOTE: a column_encoding-honoured P2P probe was attempted but dropped
	+# from the augmented suite. Probing with DELTA_BINARY_PACKED (the only
	+# non-default option that could differentiate against use_dictionary=False
	+# defaults of PLAIN) interacts with the PR's CDC initialization path and
	+# surfaces an unrelated OSError at write_table call time at this base_commit.
	+# Probing with PLAIN cannot be differentiated from the no-dict default,
	+# which collapses the oracle. Rather than ship a flaky P2P we omit this
	+# clause from the augmented suite; the no_modification clause for
	+# 'column_encoding' is not pinned by an augmented test. Six other P2P
	+# (default writer, compression, data_page_size, ParquetWriter context
	+# manager, read_metadata, ParquetFile.read_row_group) cover the remaining
	+# no-modification surface.
	+
	+
	+def test_writer_data_page_size_unchanged(tempdir):
	+ """Pre-existing ``data_page_size`` argument: a smaller data-page size
	+ must produce a measurably larger reported total_byte_size than a larger
	+ one, with no CDC argument involved."""
	+ table = pa.table({'a': pa.array(range(100_000), type=pa.int64())})
	+ small_path = tempdir / 'page_small.parquet'
	+ large_path = tempdir / 'page_large.parquet'
	+
	+ pq.write_table(table, small_path,
	+ use_dictionary=False,
	+ column_encoding='PLAIN',
	+ data_page_size=8 * 1024)
	+ pq.write_table(table, large_path,
	+ use_dictionary=False,
	+ column_encoding='PLAIN',
	+ data_page_size=512 * 1024)
	+
	+ small_meta = pq.read_metadata(small_path)
	+ large_meta = pq.read_metadata(large_path)
	+ small_total = sum(small_meta.row_group(i).total_byte_size
	+ for i in range(small_meta.num_row_groups))
	+ large_total = sum(large_meta.row_group(i).total_byte_size
	+ for i in range(large_meta.num_row_groups))
	+ assert small_total > large_total, (
	+ f"data_page_size=8KiB should produce a larger reported total than "
	+ f"512KiB; got small={small_total} large={large_total}"
	+ )
	+
	+
	+def test_parquet_writer_context_manager_default_path(tempdir):
	+ """ParquetWriter usable as a context manager with no CDC argument; the
	+ pre-PR contract (constructor, write_table, close-on-exit) must still
	+ hold."""
	+ table = _basic_int_table(1500)
	+ path = tempdir / 'context_writer.parquet'
	+ with pq.ParquetWriter(str(path), table.schema) as writer:
	+ writer.write_table(table)
	+ got = pq.read_table(path)
	+ assert got.equals(table)
	+
	+
	+def test_read_metadata_for_default_file_unchanged_shape(tempdir):
	+ """``read_metadata`` must report the expected row-group count and schema
	+ for a vanilla file (no CDC argument). Pins the read-side
	+ no-modification promise: nothing about default-written files moves."""
	+ table = _basic_int_table(5000)
	+ path = tempdir / 'default_meta.parquet'
	+ pq.write_table(table, path)
	+
	+ meta = pq.read_metadata(path)
	+ assert meta.num_rows == 5000
	+ assert meta.num_columns == 2
	+ # Schema columns by name match input schema.
	+ names = [meta.schema.column(i).name for i in range(meta.num_columns)]
	+ assert names == ['a', 'b']
	+
	+
	+def test_parquet_file_read_row_group_default_unchanged(tempdir):
	+ """``ParquetFile.read_row_group`` must work on a default-written file
	+ and return data that ``equals`` the original."""
	+ table = _basic_int_table(3000)
	+ path = tempdir / 'default_rg.parquet'
	+ pq.write_table(table, path, row_group_size=1000)
	+
	+ pf = pq.ParquetFile(path)
	+ assert pf.num_row_groups == 3
	+ chunks = [pf.read_row_group(i) for i in range(pf.num_row_groups)]
	+ full = pa.concat_tables(chunks)
	+ assert full.equals(table)