Backfilled the changelog with all of our changes.

Author: LTLA

CHANGELOG.md

@@ -1,5 +1,49 @@
 # Changelog
 
+## Version 0.5.3
+
+- Coerce `numpy.generic` instances to `dtype` in the `SparseNdarray` constructor, for consistency with NumPy functions.
+- Avoid cast to float when operating on uint64 indices in a `SparseNdarray`.
+
+## Version 0.5.2
+
+- Support `dtype=` and `copy=` arguments in `__array__()`, as required by NumPy v2.
+- Added getters for the `RegularTick` properties, for convenience.
+
+## Version 0.5.1
+
+- Add support for more numpy functions to dense and sparse `DelayedArrays`.
+
+## Version 0.5.0
+
+- Switch to `Grid` classes to control how iteration is performed. This supercedes the previous `chunk_shape()` generic.
+
+## Version 0.4.0
+
+- Added a `buffer_size=` option to the `apply*` functions.
+- Provide converter generics to SciPy classes, with methods for `SparseNdarray` and sparse `DelayedArray`s.
+- Converted th `to_*_array()` functions into generics.
+- Correctly handle zero-extent arrays in the `apply*` functions.
+- Added methods to compute basic statistics (e.g., sum, variance) from a `SparseNdarray`.
+- Added a copy method for `SparseNdarray`.
+- Use block processing to compute basic statistics from a `DelayedArray`.
+- Do not require Fortran storage order from `extract_dense_array()`.
+- The `subset=` argument is now mandatory in `extract_*_array()` calls.
+- Bugfix to respect changes in index dtype upon `SparseNdarray` concatenation.
+
+## Version 0.3.5
+
+- Support masking throughout the various operations and methods. 
+
+## Version 0.3.4
+
+- Fixes to maintain support for Python 3.8.
+
+## Version 0.3.3
+
+- Support the delayed unary `logical_not` operation.
+- Added utilities like `choose_block_shape_for_iteration()` and `apply_over_blocks()` to iterate over the dimensions or blocks.
+
 ## Version 0.3.2
 
 - Bugfix for row-wise combining of 2-dimensional `SparseNdarray`s.