nanoparquet 0.5.0

• append_parquet() now gives a clear error when appending data with
  missing values (NA) to a column that was written as REQUIRED (i.e.
  non-nullable) (#146).

• append_parquet() now creates a new file if file does not exist (#155).

• read_parquet() now correctly reads DECIMAL values stored as
  FIXED_LEN_BYTE_ARRAY with a byte length greater than 8 (e.g. 128-bit
  decimals) (#148).

• write_parquet() now sets the definition_level_encoding and
  repetition_level_encoding fields in data page headers to RLE for all
  columns, fixing an interoperability issue with the Apache Parquet Java
  library (#98).

• write_parquet() now writes the ARROW:schema metadata with correct
  flatbuffer alignment, fixing an interoperability issue with the Rust
  arrow-rs parquet reader (#152).

• read_parquet() now reads logical (BOOLEAN) columns correctly when the
  column spans multiple data pages (#142).

• write_parquet() now writes files larger than 4 GB correctly. File offsets
  and column sizes were stored as 32-bit integers and overflowed, producing
  corrupt Parquet files that could not be read back (#143).

• write_parquet() now handles data frames with zero rows correctly,
  including zero-column data frames (#138).

• read_parquet() no longer crashes when reading a Parquet file with
  zero columns (#138).

• nanoparquet now supports Parquet LIST columns:

  • write_parquet() can write R list columns whose elements are integer,
    double, or character vectors. NULL entries encode a missing list,
    NA values inside an element vector encode a missing element, and
    zero-length vectors encode an empty list.

  • read_parquet() can read LIST columns with any supported scalar
    element type. All four combinations of optional/required outer list
    and optional/required element are supported, for both data page
    version 1 and version 2.

  • parquet_schema() accepts list("LIST", element = <type>) to
    specify a LIST column type explicitly.

  • infer_parquet_schema() and read_parquet_schema() report list
    columns with r_type list(...), e.g. list(double) or
    list(list(characer)), etc.

  • Dictionary encoding (RLE_DICTIONARY) is supported for LIST
    columns.