caput.util.typeutils

memdata data type utilities.

This internal module contains utilities to help deal with incompatibilities between numpy, mpi4py, and/or HDF5 data types.

This is mostly just conversions between numpy “U” unicode strings and “S” bytestrings.

Functions

bytes_to_unicode(→ Any)	Ensure that a string (or collection of) are unicode.
check_byteorder(→ bool)	Test if a native byteorder; if not, check if byteorder matches the architecture.
check_unicode(→ numpy.typing.ArrayLike[Any])	Test if dataset contains unicode so we can raise an appropriate error.
dtype_to_bytestring(→ numpy.dtype)	Convert unicode strings in a dtype to byte strings.
dtype_to_unicode(→ numpy.dtype)	Convert byte strings in a dtype to unicode.
ensure_bytestring(→ numpy.typing.ArrayLike[Any])	If needed convert the array to contain bytestrings not unicode.
ensure_native_byteorder(→ numpy.typing.ArrayLike[Any])	If architecture and arr byteorder are the same, ensure byteorder is native.
ensure_unicode(→ numpy.typing.ArrayLike[Any])	If needed convert the array to contain unicode strings not bytestrings.
has_bytestring(→ bool)	Test if data type contains any unicode fields.
has_kind(→ bool)	Test if a numpy datatype has any fields of a specified type.
has_matching_byteorder(→ bool)	Test if byteorder marches the architecture.
has_unicode(→ bool)	Test if data type contains any unicode fields.