Audformat

Latest version: v1.3.1

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1.3.1

--------------------------

* Changed: replace unmaintained ``iso-639`` dependency
with ``iso639-lang``
* Fixed: ensure ``poetry`` can manage ``audformat``

1.3.0

--------------------------

* Added: ``strict`` argument
to ``audformat.utils.hash()``.
If set to ``True``,
the order of the data,
and its level/column names
are taken into account
when calculating the hash
* Changed: store tables per default as parquet files,
by changing the default value of ``storage_format``
to ``"parquet"``
in ``audformat.Table.save()``
and ``audformat.Database.save()``
* Fixed: load csv tables with ``pandas.read_csv()``,
if ``pyarrow.csv.read_csv()`` fails

1.2.0

--------------------------

* Added: expand format specifications
to allow parquet files
as table files
* Added: support for storing tables as parquet files
by adding ``"parquet"``
(``audformat.define.TableStorageFormat.PARQUET``)
as an option
for the ``storage_format`` argument
of ``audformat.Table.save()``
and ``audformat.Database.save()``
* Added: support for ``numpy>=2.0``
* Added: mention text files
as potential media files
in the documentation
* Added: mention in the documentation of ``audformat.utils.hash()``
that column/level names do not influence its hash value
* Added: warn in the documentation of ``audformat.utils.hash()``
that the hash of a dataframe or series,
containing ``"Int64"`` as data type,
changes with ``pandas>=2.2.0``
* Fixed: ensure ``"boolean"`` data type
is always used
in indices of misc tables
that store boolean values

1.1.4

--------------------------

* Fixed: ``audformat.Database.get()``,
if its argument ``additional_schemes``
contains a non-existent scheme

1.1.3

--------------------------

* Added: ``as_dataframe`` argument
to ``audformat.utils.read_csv()``
* Fixed: ``audformat.utils.read_csv()``
now treats float/integer values
in ``start``, ``end`` columns
as seconds

1.1.2

--------------------------

* Fixed: ``audformat.Database.load()``
when loading databases
with a misc table
that has an assigned split

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