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''' Constants and classes for matlab 5 read and write
See also mio5_utils.pyx where these same constants arise as c enums.
If you make changes in this file, don't forget to change mio5_utils.pyx '''
# The March 2008 edition of "Matlab 7 MAT-File Format" says that # mxOBJECT_CLASS = 3, whereas matrix.h says that mxLOGICAL = 3. # Matlab 2008a appears to save logicals as type 9, so we assume that # the document is correct. See type 18, below. # The following are not in the March 2008 edition of "Matlab 7 # MAT-File Format," but were guessed from matrix.h. # Not doing anything with these at the moment. # Thread 'saveing/loading symbol table of annymous functions', octave-maintainers, April-May 2007 # https://lists.gnu.org/archive/html/octave-maintainers/2007-04/msg00031.html # https://lists.gnu.org/archive/html/octave-maintainers/2007-05/msg00032.html # (Was/Deprecated: https://www-old.cae.wisc.edu/pipermail/octave-maintainers/2007-May/002824.html)
miINT8: 'i1', miUINT8: 'u1', miINT16: 'i2', miUINT16: 'u2', miINT32: 'i4', miUINT32: 'u4', miSINGLE: 'f4', miDOUBLE: 'f8', miINT64: 'i8', miUINT64: 'u8', miUTF8: 'u1', miUTF16: 'u2', miUTF32: 'u4', 'file_header': [('description', 'S116'), ('subsystem_offset', 'i8'), ('version', 'u2'), ('endian_test', 'S2')], 'tag_full': [('mdtype', 'u4'), ('byte_count', 'u4')], 'tag_smalldata':[('byte_count_mdtype', 'u4'), ('data', 'S4')], 'array_flags': [('data_type', 'u4'), ('byte_count', 'u4'), ('flags_class','u4'), ('nzmax', 'u4')], 'U1': 'U1', }
mxINT8_CLASS: 'i1', mxUINT8_CLASS: 'u1', mxINT16_CLASS: 'i2', mxUINT16_CLASS: 'u2', mxINT32_CLASS: 'i4', mxUINT32_CLASS: 'u4', mxINT64_CLASS: 'i8', mxUINT64_CLASS: 'u8', mxSINGLE_CLASS: 'f4', mxDOUBLE_CLASS: 'f8', }
mxINT8_CLASS: 'int8', mxUINT8_CLASS: 'uint8', mxINT16_CLASS: 'int16', mxUINT16_CLASS: 'uint16', mxINT32_CLASS: 'int32', mxUINT32_CLASS: 'uint32', mxINT64_CLASS: 'int64', mxUINT64_CLASS: 'uint64', mxSINGLE_CLASS: 'single', mxDOUBLE_CLASS: 'double', mxCELL_CLASS: 'cell', mxSTRUCT_CLASS: 'struct', mxOBJECT_CLASS: 'object', mxCHAR_CLASS: 'char', mxSPARSE_CLASS: 'sparse', mxFUNCTION_CLASS: 'function', mxOPAQUE_CLASS: 'opaque', }
'f8': miDOUBLE, 'c32': miDOUBLE, 'c24': miDOUBLE, 'c16': miDOUBLE, 'f4': miSINGLE, 'c8': miSINGLE, 'i8': miINT64, 'i4': miINT32, 'i2': miINT16, 'i1': miINT8, 'u8': miUINT64, 'u4': miUINT32, 'u2': miUINT16, 'u1': miUINT8, 'S1': miUINT8, 'U1': miUTF16, 'b1': miUINT8, # not standard but seems MATLAB uses this (gh-4022) }
'f8': mxDOUBLE_CLASS, 'c32': mxDOUBLE_CLASS, 'c24': mxDOUBLE_CLASS, 'c16': mxDOUBLE_CLASS, 'f4': mxSINGLE_CLASS, 'c8': mxSINGLE_CLASS, 'i8': mxINT64_CLASS, 'i4': mxINT32_CLASS, 'i2': mxINT16_CLASS, 'i1': mxINT8_CLASS, 'u8': mxUINT64_CLASS, 'u4': mxUINT32_CLASS, 'u2': mxUINT16_CLASS, 'u1': mxUINT8_CLASS, 'S1': mxUINT8_CLASS, 'b1': mxUINT8_CLASS, # not standard but seems MATLAB uses this }
''' Before release v7.1 (release 14) matlab (TM) used the system default character encoding scheme padded out to 16-bits. Release 14 and later use Unicode. When saving character data, R14 checks if it can be encoded in 7-bit ascii, and saves in that format if so.'''
miUTF8: {'codec': 'utf_8', 'width': 1}, miUTF16: {'codec': 'utf_16', 'width': 2}, miUTF32: {'codec': 'utf_32','width': 4}, }
''' Convert codec template mapping to byte order
Set codecs not on this system to None
Parameters ---------- template : mapping key, value are respectively codec name, and root name for codec (without byte order suffix) byte_order : {'<', '>'} code for little or big endian
Returns ------- codecs : dict key, value are name, codec (as in .encode(codec)) ''' " ".encode(codec) except LookupError: codecs[k] = None continue
'classes': convert_dtypes(mclass_dtypes_template, _bytecode), 'codecs': _convert_codecs(codecs_template, _bytecode)}
''' Placeholder for holding read data from structs
We use instances of this class when the user passes False as a value to the ``struct_as_record`` parameter of the :func:`scipy.io.matlab.loadmat` function. '''
''' ndarray Subclass to contain matlab object ''' # Input array is an already formed ndarray instance # We first cast to be our class type obj = np.asarray(input_array).view(cls) # add the new attribute to the created instance obj.classname = classname # Finally, we must return the newly created object: return obj
# reset the attribute from passed original object self.classname = getattr(obj, 'classname', None) # We do not need to return anything
''' Subclass to signal this is a matlab function ''' obj = np.asarray(input_array).view(cls) return obj
''' Subclass to signal this is a matlab opaque matrix ''' obj = np.asarray(input_array).view(cls) return obj
[('s0', 'O'), ('s1', 'O'), ('s2', 'O'), ('arr', 'O')]) |