/usr/share/pyshared/pyvtk/Normals.py is in python-pyvtk 0.4.74-3build1.
This file is owned by root:root, with mode 0o644.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | #!/usr/bin/env python
"""
Normals
"""
"""
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: 1.3 $
$Date: 2001-05-31 17:48:54 $
Pearu Peterson
"""
import DataSetAttr
import math
import common
class Normals(DataSetAttr.DataSetAttr):
"""Holds VTK Normals.
Usage:
Normals(<sequence of 3-tuples> ,name = <string>)
Attributes:
normals
name
Public methods:
get_size()
to_string(format = 'ascii')
"""
def __init__(self,normals,name=None):
self.name = self._get_name(name)
seq = []
for v in self.get_3_tuple_list(normals,(self.default_value,)*3):
n = math.sqrt(v[0]*v[0]+v[1]*v[1]+v[2]*v[2])
if n==0:
self.warning('cannot normalize zero vector')
seq.append(v)
elif n==1:
seq.append(v)
else:
seq.append(tuple([c/n for c in v]))
self.normals = seq
def to_string(self,format='ascii'):
t = self.get_datatype(self.normals)
ret = ['NORMALS %s %s'%(self.name,t),
self.seq_to_string(self.normals,format,t)]
return '\n'.join(ret)
def get_size(self):
return len(self.normals)
def normals_fromfile(f,n,sl):
dataname = sl[0]
datatype = sl[1].lower()
assert datatype in ['bit','unsigned_char','char','unsigned_short','short','unsigned_int','int','unsigned_long','long','float','double'],`datatype`
normals = []
while len(normals) < 3*n:
normals += map(eval,common._getline(f).split(' '))
assert len(normals) == 3*n
return Normals(normals,dataname)
if __name__ == "__main__":
print Normals([[3,3],[4,3.],240,3,2]).to_string()
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