Add file with an incompatible logical/physical type combination

data/README.md

@@ -58,6 +58,7 @@
 | repeated_primitive_no_list.parquet | REPEATED INT32 and BYTE_ARRAY fields without LIST annotation. See [note](#REPEATED-primitive-fields-with-no-LIST-annotation) |
 | map_no_value.parquet | MAP with null values, MAP with INT32 keys and no values, and LIST<INT32> column with same values as the MAP keys. See [map_no_value.md](map_no_value.md) |
 | page_v2_empty_compressed.parquet | An INT32 column with DataPageV2, all values are null, the zero-sized data is compressed using ZSTD. This is a valid non-zero bytes ZSTD stream that uncompresses into 0 bytes. |
+| int32_with_uuid_logical_type.parquet | A single required INT32 column `int32_uuid` (10 rows, values 0..9) annotated with the UUID logical type, which is only applicable to FIXED_LEN_BYTE_ARRAY(16). This is an unrecognized/incompatible logical-physical type combination; a reader should tolerate it by ignoring the annotation (reading the column as its physical INT32 type) and ignoring its statistics, rather than failing the whole file. |
 | datapage_v2_empty_datapage.snappy.parquet | A compressed FLOAT column with DataPageV2, a single row, value is null, the file uses Snappy compression, but there is no data for uncompression (see [related issue](https://github.com/apache/arrow-rs/issues/7388)). The zero bytes must not be attempted to be uncompressed, as this is an invalid Snappy stream. |
 | unknown-logical-type.parquet | A file containing a column annotated with a LogicalType whose identifier has been set to an abitrary high value to check the behaviour of an old reader reading a file written by a new writer containing an unsupported type (see [related issue](https://github.com/apache/arrow/issues/41764)). |
 | int96_from_spark.parquet | Single column of (deprecated) int96 values that originated as Apache Spark microsecond-resolution timestamps. Some values are outside the range typically representable by 64-bit nanosecond-resolution timestamps. See [int96_from_spark.md](int96_from_spark.md) for details. |