Adds the following features: * Introduce `conversion_cost()` to obtain a value roughly proportional to the conversion cost between two backends.
0.2.0
Adds the following features:
* New function `result_type(...)` to determine a compatible dtype for a set of array backends, dtypes, and other allowed arguments to ` numpy.result_type(...)` . * Support for `cupyx.scipy.sparse.csr_matrix` with ` dtype=bool`.
0.2.0rc1
Adds the following features:
* New function `result_type(...)` to determine a compatible dtype for a set of array backends, dtypes, and other allowed arguments to ` numpy.result_type(...)` . * Support for `cupyx.scipy.sparse.csr_matrix` with ` dtype=bool`.
0.1.1
Format detection, identifiers and converter matrix for a range of numerical array formats (backends) in Python, focusing on sparse arrays.
0.1.0rc3
Format detection, identifiers and converter matrix for a range of numerical array formats (backends) in Python, focusing on sparse arrays.
0.1.0rc2
Format detection, identifiers and converter matrix for a range of numerical array formats (backends) in Python, focusing on sparse arrays.