It appears that UV-CDAT 2.0 beta doesn't play nicely with the unsigned integer data types, and it would appear this is a hangover from numeric data types a long time ago:
# Data types
CdChar = CDML.CdChar
CdByte = CDML.CdByte
CdShort = CDML.CdShort
CdInt = CDML.CdInt
CdLong = CDML.CdLong
CdInt64 = CDML.CdInt64
CdFloat = CDML.CdFloat
CdDouble = CDML.CdDouble
CdString = CDML.CdString
CdFromObject = CDML.CdFromObject
CdAny = CDML.CdAny
CdDatatypes = [CdChar,CdByte,CdShort,CdInt,CdLong,CdInt64,CdFloat,CdDouble,CdString]
CdScalar = CDML.CdScalar
CdArray = CDML.CdArray
NumericToCdType = {numpy.sctype2char(numpy.float32):CdFloat,
numpy.sctype2char(numpy.float):CdDouble,
numpy.sctype2char(numpy.int16):CdShort,
numpy.sctype2char(numpy.int32):CdInt,
numpy.sctype2char(numpy.int):CdLong,
numpy.sctype2char(numpy.int64):CdInt64,
numpy.sctype2char(numpy.intc):CdLong,
numpy.sctype2char(numpy.int8):CdByte,
'c':CdChar,
'B':'B',
'H':'H',
'L':'L',
'q':CdInt64,
'Q':'Q',
'S':'S'
}
CdToNumericType = {CdChar:'c',
CdByte:numpy.int8,
CdShort:numpy.int16,
CdInt:numpy.int32,
CdLong:numpy.int,
CdInt64:numpy.int64,
CdFloat:numpy.float32,
CdDouble:numpy.float}
It would be great to include these, as netcdf 4 also includes these types as NC_ubyte (uint8; unsigned byte), NC_ushort (uint16; unsigned short), NC_uint (uint32; unsigned int), NC_uint64 (uint64; unsigned long long)
It appears that UV-CDAT 2.0 beta doesn't play nicely with the unsigned integer data types, and it would appear this is a hangover from numeric data types a long time ago:
Taking a look in https://github.com/UV-CDAT/cdms/blob/master/Lib/cdmsNode.py#L23-65 do not include these unsigned types:
It would be great to include these, as netcdf 4 also includes these types as NC_ubyte (uint8; unsigned byte), NC_ushort (uint16; unsigned short), NC_uint (uint32; unsigned int), NC_uint64 (uint64; unsigned long long)
Migrated from: CDAT/cdat#537