0.16.0 (2025-08-20)

Bug fix

• ndonnx.repeat now works correctly for zero-sized inputs on the
  minimum supported onnxruntime 1.20.1.

New feature

• ndonnx.max (ndonnx.min) now returns the minimum (maximum) value
  for the input data type if the reduction takes place over a zero-sized
  input.
• ndonnx.arange now also allows arrays as inputs.

0.15.0 (2025-08-13)

New feature

• ndonnx.repeat is now implemented for all built-in data types.

Other changes

• Improve stacklevel presented of various deprecation warnings.

0.14.0 (2025-07-21)

Bug fixes

• Fix a bug in ndonnx.Array.__setitem__ that occurred when all of the
  following applied:
  • An Ellipsis was part of the key
  • The Ellipsis expanded to at least one dimension
  • The Ellipsis was not the last element of the key
  • The assigned value was not a scalar or 1D array with length 1.
• ndonnx.Array.dynamic_shape now returns a rank-0 array for all input
  ranks.
• The error message of the IndexingError raise by
  ndonnx.Array.__setitem__ when providing a tuple-key containing
  int64-arrays is now accurate.
• Using slice objects in the
  ndonnx.Array.__setitem__ no longer require value propagation.
• ndonnx.Array.__setitem__ now correctly handles boolean masks for
  arrays of two or more dimensions.
• Operations between NumPy and ndonnx arrays now correctly call the
  reverse dunder methods such as ndonnx.Array.__radd__ where
  appropriate.
• Operations between numpy.generic and ndonnx.Array objects now
  follow the regular type promotion logic.
• The following dunder operations on ndonnx.Array now correctly return
  NotImplemented if one of the operands is not of type
  numpy.ndarray | ndonnx.Array | bool | str | int | float: __add__,
  __radd__, __and__, __rand__, __floordiv__, __rfloordiv__,
  __ge__, __gt__, __le__, __lshift__, __rlshift__, __lt__,
  __matmul__, __rmatmul__, __mod__, __rmod__, __mul__,
  __rmul__, __or__, __ror__, __pow__, __rpow__, __rshift__,
  __rrshift__, __sub__, __rsub__, __truediv__, __rtruediv__,
  __xor__, __rxor__, __eq__, __ne__

New workarounds for missing onnxruntime implementations

• ndx.any and ndx.all now correctly propagate values even if the
  input is zero-sized.
• ndonnx.arange now follows NumPy's semantics for extremely large
  start, stop, and step values.
• ndonnx.min, ndonnx.max, ndonnx.minimum, ndonnx.maximum, and
  ndonnx.clip now produce correct results for very large values in
  int64 arrays.

0.13.0 (2025-05-27)

Bug fixes

• ndonnx.concat no longer raises an error if axis=None, the
  resulting data type is int32 or int64, and one of the provided
  arrays is zero-sized.
• ndonnx.__array_namespace_info__.capabilities() now reports the
  number of supported dimensions via the "max dimensions" entry rather
  than "max rank".
• Add missing onnxruntime workaround for uint32 inputs to ndonnx.min
  and ndonnx.max.
• Fix array instantiation with ndonnx.asarray and very large Python
  integers for uint64 data types.
• Fix passing an Python scalar as the second argument to ndonnx.where.
• Calling ndonnx.roll on zero-sized inputs no longer causes a segfault
  on Linux.

New features

• The ndonnx.TimeDelta64DType and ndonnx.DateTime64DType gained
  support for milli and microseconds as units.
• ndonnx.where now promotes time units between the two branches.
• Addition, multiplication, division, and subtraction between arrays
  with timedelta or datetime data types now support promotion between
  time units.
• Comparison operations between arrays with timedelta or datetime data
  types now support promotion between time units.
• Added ndonnx.__array_api_version__ reporti

0.12.0 (2025-05-15)

Bug fix

• The modulo operator (%) now correctly follows Python's semantics if the second argument is negative.

New features

• Support the 2024.12 version of the Array API (except nextafter).

0.11.0 (2025-05-08)

Bug fix

• ndonnx.mean, ndonnx.var, and ndonnx.std now produce correct results if axes outside the range of [-1, 1] are given.

Other change

• Address various deprecation warnings.

0.10.1 (2025-04-01)

Technical release to address a PyPI publishing issue.

0.10.0 (2025-04-01)

Breaking changes

• Removed the deprecated ndonnx.promote_nullable function. Use ndonnx.extensions.make_nullable instead.
• The existing (private) tooling to define custom data types has been removed.
• The ndonnx.Array.len member function has been removed since it is neither defined by numpy.ndarray nor the Array-API.
• ndonnx.Array.size now returns int | None in accordance to with the Array-API rather than a ndonnx.Array instance.

Bugfixes

• The following functions now correctly take the keepdims argument into account:
  • ndonnx.Array.sum
  • ndonnx.Array.prod
  • ndonnx.Array.max
  • ndonnx.Array.min
  • ndonnx.Array.all
  • ndonnx.Array.any

New features

• ndonnx gained partial support for float16 data types.
• The following functions are now exposed in the ndonnx namespace in accordance to the Array-API standard:
  • ndonnx.__array_namespace_info__
  • ndonnx.maximum
  • ndonnx.minimum
  • ndonnx.meshgrid
  • ndonnx.moveaxis
  • ndonnx.tile
  • ndonnx.unstack
  • ndonnx.vecdot
• The newly added :mod:ndonnx.extensions module exposes the following functions:
  • ndonnx.extensions.datetime_to_year_month_day
  • ndonnx.extensions.fill_null
  • ndonnx.extensions.get_mask
  • ndonnx.extensions.is_float_dtype
  • ndonnx.extensions.is_integer_dtype
  • ndonnx.extensions.is_nullable_dtype
  • ndonnx.extensions.is_nullable_float_dtype
  • ndonnx.extensions.is_nullable_integer_dtype
  • ndonnx.extensions.is_numeric_dtype
  • ndonnx.extensions.is_onnx_dtype
  • ndonnx.extensions.is_signed_integer_dtype
  • ndonnx.extensions.s_time_unit
  • ndonnx.extensions.is_unsigned_integer_dtype
  • ndonnx.extensions.isin
  • ndonnx.extensions.make_nullable
  • ndonnx.extensions.put
  • ndonnx.extensions.shape (deprecated in favor of ndonnx.Array.dynamic_shape)
  • ndonnx.extensions.static_map
• Arrays now expose the ndonnx.Array.device property to improve Array API compatibility. Note that serializing an ONNX model inherently postpones device placement decisions to the runtime so currently one abstract device is supported.
• The ndonnx.Array object gained the following member functions:
  • ndonnx.Array.disassemble
  • ndonnx.Array.dynamic_shape
  • ndonnx.Array.dynamic_size
  • ndonnx.Array.unwrap_numpy
  • ndonnx.Array.unwrap_spox

Deprecations

• ndonnx.array is deprecated in favor of ndonnx.argument.
• :mod:ndonnx.additional is deprecated in favor of ndonnx.extensions.
• ndonnx.from_spox_var is deprecated in favor of ndonnx.asarray.
• ndonnx.Nullable is deprecated in favor of ndonnx.extensions.is_nullable_dtype
• ndonnx.NullableFloating is deprecated in favor of ndonnx.extensions.is_nullable_float_dtype
• ndonnx.NullableIntegral is deprecated in favor of ndonnx.extensions.is_nullable_integer_dtype
• ndonnx.Floating is deprecated in favor of ndonnx.extensions.is_float_dtype
• ndonnx.Integral is deprecated in favor of ndonnx.extensions.is_integer_dtype
• ndonnx.Numerical is deprecated in favor of ndonnx.extensions.is_numeric_dtype
• ndonnx.CoreType is deprecated in favor of ndonnx.extensions.is_onnx_dtype
• ndonnx.NullableCore is deprecated in favor of ndonnx.extensions.is_nullable_dtype
• ndonnx.UnsupportedOperationError is deprecated in favor of TypeError
• ndonnx.CastError is deprecated in favor of TypeError

Other changes

• ndonnx.additional.make_nullable can no longer be used for custom data types.

0.9.3 (2024-10-25)

0.9.3 (2024-10-25)

• Reduced the number of unnecessary casts in ndonnx.argmax and ndonnx.argmin.

0.9.2 (2024-10-03)

0.9.2 (2024-10-03)

• Technical release that adds back source distribution.