def convertToAPDescr(descr, byteorder):
"""
Convert a NRA `descr` descriptor into a true array protocol description.
"""
# Build a descriptor compliant with array protocol
# (http://numeric.scipy.org/array_interface.html)
i = nriterators.getIter(descr)
if not i:
return
try:
item = i.next()
while item:
if isinstance(item[1], str):
# parse the formats into repeats and formats
try:
(_repeat,
_dtype) = format_re.match(item[1].strip()).groups()
except TypeError, AttributeError:
raise ValueError('format %s is not recognized' % _fmt[i])
_dtype = _dtype.strip()
# String type needs special treatment
if _dtype[0] in ('a', 'S'):
_dtype = '|S' + _dtype[1:]
else:
if _dtype in revfmt:
# _dtype is in long format
_dtype = cbyteorder[byteorder] + revfmt[_dtype]
elif _dtype in revfmt.values():
# _dtype is already in short format
_dtype = cbyteorder[byteorder] + _dtype
else:
# This should never happen
raise ValueError, \
"Fatal error: format %s not recognized." % (_dtype)
# Return the column
if _repeat in ['', '1', '()']:
# scalar case
yield (item[0], _dtype)
else:
yield (item[0], _dtype, eval(_repeat))
else:
l = []
for j in convertToAPDescr(item[1], byteorder):
l.append(j)
yield (item[0], l)
item = i.next()
except StopIteration:
pass
def convertFromAPDescr(array_descr):
"""
Convert a true description of the array protocol in one suited for NRA.
"""
# Get an iterator for the array descrition
i = nriterators.getIter(array_descr)
if not i:
return
try:
item = i.next()
while item:
if isinstance(item[1], str):
_dtype = item[1].strip()
_dtype = _dtype[1:] # remove the byteorder
if _dtype in revfmt.values():
_dtype = _dtype
elif _dtype[0] == 'S':
# String type needs special treatment
_dtype = 'a' + _dtype[1:]
elif _dtype[0] == "V":
raise NotImplementedError(
"Padding fields are not "
"supported yet. Try to provide objects without "
"padding fields.")
elif _dtype[0] == "U":
raise NotImplementedError(
"Unicode fields are not "
"supported yet. Try to provide objects without "
"unicode fields.")
else:
# All the other fields are not supported
raise ValueError("Fatal error: format %s not supported." %
(_dtype))
# Return the column
if len(item) <= 2:
# scalar case
yield (item[0], _dtype)
else:
shape = item[2]
yield (item[0], "%s%s" % (shape, _dtype))
else:
l = []
for j in convertFromAPDescr(item[1]):
l.append(j)
yield (item[0], l)
item = i.next()
except StopIteration:
pass
def convertToAPDescr(descr, byteorder):
"""
Convert a NRA `descr` descriptor into a true array protocol description.
"""
# Build a descriptor compliant with array protocol
# (http://numeric.scipy.org/array_interface.html)
i = nriterators.getIter(descr)
if not i:
return
try:
item = i.next()
while item:
if isinstance(item[1], str):
# parse the formats into repeats and formats
try:
(_repeat, _dtype) = format_re.match(item[1].strip()).groups()
except TypeError, AttributeError:
raise ValueError('format %s is not recognized' % _fmt[i])
_dtype = _dtype.strip()
# String type needs special treatment
if _dtype[0] in ('a', 'S'):
_dtype = '|S'+_dtype[1:]
else:
if _dtype in revfmt:
# _dtype is in long format
_dtype = cbyteorder[byteorder]+revfmt[_dtype]
elif _dtype in revfmt.values():
# _dtype is already in short format
_dtype = cbyteorder[byteorder]+_dtype
else:
# This should never happen
raise ValueError, \
"Fatal error: format %s not recognized." % (_dtype)
# Return the column
if _repeat in ['','1','()']:
# scalar case
yield (item[0], _dtype)
else:
yield (item[0], _dtype, eval(_repeat))
else:
l = []
for j in convertToAPDescr(item[1], byteorder):
l.append(j)
yield (item[0], l)
item = i.next()
except StopIteration:
pass
def convertFromAPDescr(array_descr):
"""
Convert a true description of the array protocol in one suited for NRA.
"""
# Get an iterator for the array descrition
i = nriterators.getIter(array_descr)
if not i:
return
try:
item = i.next()
while item:
if isinstance(item[1], str):
_dtype = item[1].strip()
_dtype = _dtype[1:] # remove the byteorder
if _dtype in revfmt.values():
_dtype = _dtype
elif _dtype[0] == 'S':
# String type needs special treatment
_dtype = 'a'+_dtype[1:]
elif _dtype[0] == "V":
raise NotImplementedError, """ \
Padding fields are not supported yet. Try to provide objects without padding fields.
"""
elif _dtype[0] == "U":
raise NotImplementedError, """ \
Unicode fields are not supported yet. Try to provide objects without unicode fields.
"""
else:
# All the other fields are not supported
raise ValueError, \
"Fatal error: format %s not supported." % (_dtype)
# Return the column
if len(item) <= 2:
# scalar case
yield (item[0], _dtype)
else:
shape = item[2]
yield (item[0], "%s%s" % (shape, _dtype))
else:
l = []
for j in convertFromAPDescr(item[1]):
l.append(j)
yield (item[0], l)
item = i.next()
except StopIteration:
pass