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#!/usr/bin/env python
"""
Copyright 2001 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the LGPL. See http://www.fsf.org
NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.
$Revision: 1.1 $
$Date: 2001/05/20 12:51:29 $
Pearu Peterson
"""
import DataSet
import string
class StructuredPoints(DataSet.DataSet):
"""The topology of a dataset is described by
dimensions - int|(1-3)-int sequence (>=1)
origin - number|(1-3)-number sequence
spacing - number|(1-3)-number sequence (>0)
"""
def __init__(self,dimensions,origin=(0,0,0),spacing=(1,1,1)):
self.dimensions = self.get_3_tuple(dimensions,(1,1,1))
if self._check_dimensions():
raise ValueError,'dimensions must be 3-tuple of ints >=1'
self.origin = self.get_3_tuple(origin,(1,1,1))
if self._check_origin():
raise ValueError,'origin must be 3-tuple of numbers'
self.spacing = self.get_3_tuple(spacing,(1,1,1))
if self._check_spacing():
raise ValueError,'spacing must be 3-tuple of positive numbers'
def to_string(self,format = 'ascii'):
ret = ['DATASET STRUCTURED_POINTS',
'DIMENSIONS %s %s %s'%self.dimensions,
'ORIGIN %s %s %s'%self.origin,
'SPACING %s %s %s'%self.spacing]
return string.join(ret,'\n')
if __name__ == "__main__":
print StructuredPoints((2,3,4))
print StructuredPoints((2,3))
print StructuredPoints(5)
print StructuredPoints([2,3,5,6]).get_size()
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