def pythonToMel(arg):
"""
convert a python object to a string representing an equivalent value in mel
iterables are flattened.
mapping types like dictionaries have their key value pairs flattened:
{ key1 : val1, key2 : val2 } -- > ( key1, val1, key2, val2 )
"""
if util.isNumeric(arg):
return str(arg)
if isinstance(arg, datatypes.Vector):
return '<<%f,%f,%f>>' % ( arg[0], arg[1], arg[2] )
if util.isIterable(arg):
if util.isMapping(arg):
arg = list(_flatten(arg.iteritems()))
else:
arg = list(_flatten(arg))
forceString = False
for each in arg:
if not util.isNumeric(each):
forceString = True
break
if forceString:
newargs = [ '"%s"' % x for x in arg ]
else:
newargs = [ str(x) for x in arg ]
return '{%s}' % ','.join( newargs )
# in order for PyNodes to get wrapped in quotes we have to treat special cases first,
# we cannot simply test if arg is an instance of basestring because PyNodes are not
return '"%s"' % cmds.encodeString(str(arg))
def pythonToMel(arg):
"""
convert a python object to a string representing an equivalent value in mel
iterables are flattened.
mapping types like dictionaries have their key value pairs flattened:
{ key1 : val1, key2 : val2 } -- > ( key1, val1, key2, val2 )
"""
if arg is None:
return ''
if arg is True or arg is False:
return str(arg).lower()
if util.isNumeric(arg):
return str(arg)
if isinstance(arg, datatypes.Vector):
return '<<%f,%f,%f>>' % (arg[0], arg[1], arg[2])
if util.isIterable(arg):
if util.isMapping(arg):
arg = list(_flatten(arg.iteritems()))
else:
arg = list(_flatten(arg))
forceString = False
for each in arg:
if not util.isNumeric(each):
forceString = True
break
if forceString:
newargs = ['"%s"' % x for x in arg]
else:
newargs = [str(x) for x in arg]
return '{%s}' % ','.join(newargs)
# in order for PyNodes to get wrapped in quotes we have to treat special
# cases first, we cannot simply test if arg is an instance of basestring
# because PyNodes are not
return '"%s"' % cmds.encodeString(str(arg))