>>> from utils import *
>>> from moving import Point

>>> computeChi2([],[])
0.0
>>> computeChi2(range(1,10),range(1,10))
0.0
>>> computeChi2(range(1,9),range(1,10))
0.0

>>> ceilDecimals(1.23, 0)
2.0
>>> ceilDecimals(1.23, 1)
1.3

>>> inBetween(1,2,1.5)
True
>>> inBetween(2.1,1,1.5)
True
>>> inBetween(1,2,0)
False

>>> f = openCheck('non_existant_file.txt')
File non_existant_file.txt could not be opened.

>>> removeExtension('test-adfasdf.asdfa.txt')
'test-adfasdf.asdfa'
>>> removeExtension('test-adfasdf')
'test-adfasdf'

>>> values = line2Ints('1 2 3 5 6')
>>> values[0]
1
>>> values[-1]
6
>>> values = line2Floats('1.3 2.45 7.158e+01 5 6')
>>> values[0]
1.3
>>> values[2] #doctest: +ELLIPSIS
71.5...
>>> values[-1]
6.0

>>> stepPlot([3, 5, 7, 8], 1, 10, 0)
([1, 3, 3, 5, 5, 7, 7, 8, 8, 10], [0, 0, 1, 1, 2, 2, 3, 3, 4, 4])

>>> lcss = LCSS(lambda x,y: abs(x-y) <= 0.1)
>>> lcss.compute(range(5), range(5))
5
>>> lcss.compute(range(1,5), range(5))
4
>>> lcss.compute(range(5,10), range(5))
0
>>> lcss.compute(range(5), range(10))
5
>>> lcss.compute(range(5), range(10), 2)
5
>>> lcss.similarityFunc = lambda x,y: x == y
>>> lcss.compute(['a','b','c'], ['a','b','c', 'd'])
3
>>> lcss.computeNormalized(['a','b','c'], ['a','b','c', 'd']) #doctest: +ELLIPSIS
1.0
>>> lcss.computeNormalized(['a','b','c','x'], ['a','b','c', 'd']) #doctest: +ELLIPSIS
0.75
>>> lcss.compute(['a','b','c'], ['a','b','c', 'd'])
3
>>> lcss.compute(['a','x','b','c'], ['a','b','c','d','x'])
3
>>> lcss.compute(['a','b','c','x','d'], ['a','b','c','d','x'])
4
>>> lcss.delta = 1
>>> lcss.compute(['a','b','c'], ['a','b','x','x','c'])
2

>>> lcss.delta = float('inf')
>>> lcss.compute(['a','b','c'], ['a','b','c', 'd'], computeSubSequence = True)
3
>>> lcss.subSequenceIndices
[(0, 0), (1, 1), (2, 2)]
>>> lcss.compute(['a','b','c'], ['x','a','b','c'], computeSubSequence = True)
3
>>> lcss.subSequenceIndices
[(0, 1), (1, 2), (2, 3)]
>>> lcss.compute(['a','g','b','c'], ['a','b','c', 'd'], computeSubSequence = True)
3
>>> lcss.subSequenceIndices
[(0, 0), (2, 1), (3, 2)]

>>> alignedLcss = LCSS(lambda x,y:(abs(x-y) <= 0.1), delta = 2, aligned = True)
>>> alignedLcss.compute(range(5), range(5))
5
>>> alignedLcss.compute(range(1,5), range(5))
4

>>> alignedLcss.compute(range(5,10), range(10))
5

>>> lcss.delta = 2
>>> lcss.compute(range(5,10), range(10))
0
>>> alignedLcss.delta = 6
>>> alignedLcss.compute(range(5), range(5))
5
>>> alignedLcss.compute(range(5), range(6))
5
>>> lcss.delta = 10
>>> alignedLcss.compute(range(1,7), range(6))
5