/usr/lib/python2.7/dist-packages/collada/util.py is in python-collada 0.4-2.
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# #
# THIS FILE IS PART OF THE pycollada LIBRARY SOURCE CODE. #
# USE, DISTRIBUTION AND REPRODUCTION OF THIS LIBRARY SOURCE IS #
# GOVERNED BY A BSD-STYLE SOURCE LICENSE INCLUDED WITH THIS SOURCE #
# IN 'COPYING'. PLEASE READ THESE TERMS BEFORE DISTRIBUTING. #
# #
# THE pycollada SOURCE CODE IS (C) COPYRIGHT 2011 #
# by Jeff Terrace and contributors #
# #
####################################################################
"""This module contains utility functions"""
import numpy
import math
import sys
if sys.version_info[0] > 2:
import unittest
from io import StringIO, BytesIO
bytes = bytes
basestring = (str,bytes)
xrange = range
else:
import unittest
if not hasattr(unittest.TestCase, "assertIsNone"):
# external dependency unittest2 required for Python <= 2.6
import unittest2 as unittest
from StringIO import StringIO
BytesIO = StringIO
def bytes(s, encoding='utf-8'):
return s
basestring = basestring
xrange = xrange
from collada.common import DaeMalformedError, E, tag
def falmostEqual(a, b, rtol=1.0000000000000001e-05, atol=1e-08):
"""Checks if the given floats are almost equal. Uses the algorithm
from numpy.allclose.
:param float a:
First float to compare
:param float b:
Second float to compare
:param float rtol:
The relative tolerance parameter
:param float atol:
The absolute tolerance parameter
:rtype: bool
"""
return math.fabs(a - b) <= (atol + rtol * math.fabs(b))
def toUnitVec(vec):
"""Converts the given vector to a unit vector
:param numpy.array vec:
The vector to transform to unit length
:rtype: numpy.array
"""
return vec / numpy.sqrt(numpy.vdot(vec, vec))
def checkSource( source, components, maxindex):
"""Check if a source objects complies with the needed `components` and has the needed length
:param collada.source.Source source:
A source instance to check
:param tuple components:
A tuple describing the needed channels, e.g. ``('X','Y','Z')``
:param int maxindex:
The maximum index that refers to this source
"""
if len(source.data) <= maxindex:
raise DaeMalformedError(
"Indexes (maxindex=%d) for source '%s' (len=%d) go beyond the limits of the source"
% (maxindex, source.id, len(source.data)) )
#some files will write sources with no named parameters
#by spec, these params should just be skipped, but we need to
#adapt to the failed output of others...
if len(source.components) == len(components):
source.components = components
if source.components != components:
raise DaeMalformedError('Wrong format in source %s'%source.id)
return source
def normalize_v3(arr):
"""Normalize a numpy array of 3 component vectors with shape (N,3)
:param numpy.array arr:
The numpy array to normalize
:rtype: numpy.array
"""
lens = numpy.sqrt( arr[:,0]**2 + arr[:,1]**2 + arr[:,2]**2 )
lens[numpy.equal(lens, 0)] = 1
arr[:,0] /= lens
arr[:,1] /= lens
arr[:,2] /= lens
return arr
def dot_v3(arr1, arr2):
"""Calculates the dot product for each vector in two arrays
:param numpy.array arr1:
The first array, shape Nx3
:param numpy.array arr2:
The second array, shape Nx3
:rtype: numpy.array
"""
return arr1[:,0]*arr2[:,0] + arr1[:,1]*arr2[:,1] + arr2[:,2]*arr1[:,2]
class IndexedList(list):
"""
Class that combines a list and a dict into a single class
- Written by Hugh Bothwell (http://stackoverflow.com/users/33258/hugh-bothwell)
- Original source available at:
http://stackoverflow.com/questions/5332841/python-list-dict-property-best-practice/5334686#5334686
- Modifications by Jeff Terrace
Given an object, obj, that has a property x, this allows you to create an IndexedList like so:
L = IndexedList([], ('x'))
o = obj()
o.x = 'test'
L.append(o)
L[0] # = o
L['test'] # = o
"""
def __init__(self, items, attrs):
super(IndexedList, self).__init__(items)
# do indexing
self._attrs = tuple(attrs)
self._index = {}
_add = self._addindex
for obj in self:
_add(obj)
def _addindex(self, obj):
_idx = self._index
for attr in self._attrs:
_idx[getattr(obj, attr)] = obj
def _delindex(self, obj):
_idx = self._index
for attr in self._attrs:
try:
del _idx[getattr(obj, attr)]
except KeyError:
pass
def __delitem__(self, ind):
try:
obj = list.__getitem__(self, ind)
except (IndexError, TypeError):
obj = self._index[ind]
ind = list.index(self, obj)
self._delindex(obj)
return list.__delitem__(self, ind)
def __delslice__(self, i, j):
return list.__delslice__(self, i, j)
def __getitem__(self, ind):
try:
return self._index[ind]
except KeyError:
if isinstance(ind, str):
raise
return list.__getitem__(self, ind)
def get(self, key, default=None):
try:
return self._index[key]
except KeyError:
return default
def __contains__(self, item):
if item in self._index:
return True
return list.__contains__(self, item)
def __getslice__(self, i, j):
return IndexedList(list.__getslice__(self, i, j), self._attrs)
def __setitem__(self, ind, new_obj):
try:
obj = list.__getitem__(self, ind)
except (IndexError, TypeError):
obj = self._index[ind]
ind = list.index(self, obj)
self._delindex(obj)
self._addindex(new_obj)
return list.__setitem__(ind, new_obj)
def __setslice__(self, i, j, newItems):
_get = self.__getitem__
_add = self._addindex
_del = self._delindex
newItems = list(newItems)
# remove indexing of items to remove
for ind in xrange(i, j):
_del(_get(ind))
# add new indexing
if isinstance(newList, IndexedList):
self._index.update(newList._index)
else:
for obj in newList:
_add(obj)
# replace items
return list.__setslice__(self, i, j, newList)
def append(self, obj):
self._addindex(obj)
return list.append(self, obj)
def extend(self, newList):
newList = list(newList)
if isinstance(newList, IndexedList):
self._index.update(newList._index)
else:
_add = self._addindex
for obj in newList:
_add(obj)
return list.extend(self, newList)
def insert(self, ind, new_obj):
# ensure that ind is a numeric index
try:
obj = list.__getitem__(self, ind)
except (IndexError, TypeError):
obj = self._index[ind]
ind = list.index(self, obj)
self._addindex(new_obj)
return list.insert(self, ind, new_obj)
def pop(self, ind= -1):
# ensure that ind is a numeric index
try:
obj = list.__getitem__(self, ind)
except (IndexError, TypeError):
obj = self._index[ind]
ind = list.index(self, obj)
self._delindex(obj)
return list.pop(self, ind)
def remove(self, ind_or_obj):
try:
obj = self._index[ind_or_obj]
ind = list.index(self, obj)
except KeyError:
ind = list.index(self, ind_or_obj)
obj = list.__getitem__(self, ind)
self._delindex(obj)
return list.remove(self, ind)
def _correctValInNode(outernode, tagname, value):
innernode = outernode.find( tag(tagname) )
if value is None and innernode is not None:
outernode.remove(innernode)
elif innernode is not None:
innernode.text = str(value)
elif value is not None:
outernode.append(E(tagname, str(value)))
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