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test_sparsedict.py
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test_sparsedict.py
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#!/usr/bin/env python
from numpy import zeros, ndarray, array
from biom.unit_test import TestCase, main
from biom.table import flatten
from biom.sparsedict import SparseDict, to_sparsedict, \
list_nparray_to_sparsedict, list_list_to_sparsedict, \
list_dict_to_sparsedict, nparray_to_sparsedict, \
dict_to_sparsedict
__author__ = "Daniel McDonald"
__copyright__ = "Copyright 2012, BIOM-Format Project"
__credits__ = ["Daniel McDonald", "Jai Rideout", "Greg Caporaso",
"Jose Clemente", "Justin Kuczynski"]
__license__ = "GPL"
__url__ = "http://biom-format.org"
__version__ = "1.0.0c"
__maintainer__ = "Daniel McDonald"
__email__ = "daniel.mcdonald@colorado.edu"
class SparseDictTests(TestCase):
def setUp(self):
self.obj = SparseDict(6,3)
self.obj.update({(1,2):3,(5,2):6})
def test_copy(self):
"""copy thy self"""
obs = self.obj.copy()
self.assertEqual(obs, self.obj)
self.assertNotEqual(id(obs), id(self.obj))
obs[1,2] = 10
self.assertNotEqual(obs, self.obj)
obs[1,2] = 3
obs[0,0] = 5
self.assertNotEqual(obs, self.obj)
self.assertNotEqual(id(self.obj._index_rows), id(obs._index_rows))
self.assertNotEqual(id(self.obj._index_cols), id(obs._index_cols))
def test_setitem(self):
self.obj[(2,2)] = 10
exp = sorted([((1,2),3),((5,2),6),((2,2),10)])
self.assertEqual(sorted(self.obj.items()), exp)
self.assertRaises(KeyError, self.obj.__setitem__, (100,50), 10)
self.assertEqual(self.obj._index_rows, [set(),set([(1,2)]),
set([(2,2)]), set(), set(),
set([(5,2)])])
self.assertEqual(self.obj._index_cols, [set(),set(),
set([(1,2),(2,2),(5,2)])])
def test_getitem_simple(self):
"""Tests simple getitem"""
self.assertEqual(self.obj[(1,2)], 3)
self.assertEqual(self.obj[1,2], 3)
self.assertEqual(self.obj[1,1], 0)
self.assertRaises(IndexError, self.obj.__getitem__, (3,3))
self.assertRaises(IndexError, self.obj.__getitem__, (-1,2))
self.assertRaises(IndexError, self.obj.__getitem__, 1)
def test_getitem_slice(self):
"""Tests for slices on getitem"""
exp = SparseDict(1,3)
exp[0,2] = 3
self.assertEqual(exp, self.obj[1,:])
exp = SparseDict(6,1)
exp[1,0] = 3
exp[5,0] = 6
self.assertEqual(exp, self.obj[:,2])
self.assertRaises(IndexError, self.obj.__getitem__, (10,slice(None)))
self.assertRaises(AttributeError, self.obj.__getitem__, (3, slice(1,2,3)))
def test_update_internal_indices(self):
"""Update internal indices"""
sd = SparseDict(2,3)
self.assertEqual(sd._index_rows, [set(),set()])
self.assertEqual(sd._index_cols, [set(),set(),set()])
sd[(1,2)] = 5
self.assertEqual(sd._index_rows, [set(),set([(1,2)])])
self.assertEqual(sd._index_cols, [set(),set(),set([(1,2)])])
sd[(1,2)] = 0
self.assertEqual(sd._index_rows, [set(),set()])
self.assertEqual(sd._index_cols, [set(),set(),set()])
sd[(1,1)] = 0
self.assertEqual(sd._index_rows, [set(),set()])
self.assertEqual(sd._index_cols, [set(),set(),set()])
def test_getRow(self):
"""Get a row"""
exp = SparseDict(1,3)
exp.update({(0,2):3})
obs = self.obj.getRow(1)
self.assertEqual(obs, exp)
exp = SparseDict(1,3)
obs = self.obj.getRow(4)
self.assertEqual(obs,exp)
self.assertRaises(IndexError, self.obj.getRow, -1)
def test_getCol(self):
"""Get a col"""
exp = SparseDict(6,1)
exp.update({(1,0):3,(5,0):6})
obs = self.obj.getCol(2)
self.assertEqual(obs,exp)
exp = SparseDict(6,1)
obs = self.obj.getCol(1)
self.assertEqual(obs,exp)
self.assertRaises(IndexError, self.obj.getCol, -1)
def test_update(self):
"""updates should work and update indexes"""
items = self.obj.items()
indexes = (self.obj._index_rows, self.obj._index_cols)
self.obj.update({(1,2):3,(5,2):6})
self.assertEqual(items, self.obj.items())
self.assertEqual(indexes, (self.obj._index_rows, self.obj._index_cols))
self.obj.update({(1,2):0,(5,2):6})
self.assertEqual(self.obj.items(), {(5,2):6}.items())
self.assertEqual(self.obj._index_rows, [set(),set(),set(),set(),\
set(), set([(5,2)])])
self.assertEqual(self.obj._index_cols, [set(),set(),set([(5,2)])])
self.obj.update({(1,2):1,(2,2):0,(1,1):10})
self.assertEqual(self.obj.items(), {(1,2):1,(1,1):10,(5,2):6}.items())
self.assertEqual(self.obj._index_rows, [set(),set([(1,2),(1,1)]),\
set(),set(),\
set(), set([(5,2)])])
self.assertEqual(self.obj._index_cols, [set(),set([(1,1)]),set([(1,2),(5,2)])])
def test_T(self):
"""test transpose"""
exp = SparseDict(3,6)
exp.update({(2,1):3,(2,5):6})
obs = self.obj.T
self.assertEqual(obs, exp)
class SupportTests(TestCase):
def test_list_list_to_sparsedict(self):
"""convert [[row,col,value], ...] to dict"""
input = [[0,0,1],[10,0,5.0],[2,3,6]]
exp = {(0,0):1.0,(10,0):5.0,(2,3):6}
obs = list_list_to_sparsedict(input)
self.assertEqual(obs, exp)
def test_nparray_to_sparsedict(self):
"""Convert nparray to dict"""
input = array([[1,2,3,4],[-1,6,7,8],[9,10,11,12]])
exp = SparseDict(3,4)
exp.update({(0,0):1,(0,1):2,(0,2):3,(0,3):4,
(1,0):-1,(1,1):6,(1,2):7,(1,3):8,
(2,0):9,(2,1):10,(2,2):11,(2,3):12})
obs = nparray_to_sparsedict(input)
self.assertEqual(obs, exp)
def test_list_dict_to_sparsedict(self):
"""Take a list of dicts and condense down to a single dict"""
input = [{(0,5):10,(10,10):2}, {(0,1):15}, {(0,3):7}]
exp = SparseDict(3,11)
exp.update({(0,5):10,(0,10):2,(1,1):15,(2,3):7})
obs = list_dict_to_sparsedict(input)
self.assertEqual(obs,exp)
def test_dict_to_sparsedict(self):
"""Take a dict and convert to SparseDict"""
input = {(0,10):5,(4,5):2,(3,3):6}
exp = SparseDict(5,11)
exp[(0,10)] = 5
exp[(4,5)] = 2
exp[(3,3)] = 6
obs = dict_to_sparsedict(input)
self.assertEqual(obs,exp)
def test_to_sparsedict(self):
"""Convert to expected SparseDict types"""
vals = {(0,0):5,(0,1):6,(1,0):7,(1,1):8}
obs = to_sparsedict(vals)
exp = SparseDict(2,2)
exp[(0,0)] = 5
exp[(0,1)] = 6
exp[(1,0)] = 7
exp[(1,1)] = 8
self.assertEqual(obs,exp)
input = {(0,1):5,(10,8):-1.23}
exp = SparseDict(11,9)
exp[(0,1)] = 5
exp[(10,8)] = -1.23
obs = to_sparsedict(input)
self.assertEqual(obs.items(), exp.items())
# test transpose
exp = SparseDict(9,11)
exp[(1,0)] = 5
exp[(8,10)] = -1.23
obs = to_sparsedict(input, transpose=True)
self.assertEqual(obs.items(), exp.items())
# passing a list of dicts, transpose
exp = SparseDict(3,2)
exp[(0,0)] = 5.0
exp[(1,0)] = 6.0
exp[(2,0)] = 7.0
exp[(0,1)] = 8.0
exp[(1,1)] = 9.0
exp[(2,1)] = 10.0
obs = to_sparsedict([{(0,0):5,(0,1):6,(0,2):7},
{(1,0):8,(1,1):9,(1,2):10}],
transpose=True)
self.assertEqual(sorted(obs.items()), sorted(exp.items()))
# passing a list of sparsedicts
exp = SparseDict(2,3)
exp[(0,0)] = 5
exp[(0,1)] = 6
exp[(0,2)] = 7
exp[(1,0)] = 8
exp[(1,1)] = 9
exp[(1,2)] = 10
row1 = SparseDict(1,3)
row1[(0,0)] = 5
row1[(0,1)] = 6
row1[(0,2)] = 7
row2 = SparseDict(1,3)
row2[(0,0)] = 8
row2[(0,1)] = 9
row2[(0,2)] = 10
obs = to_sparsedict([row1, row2])
self.assertEqual(obs.items(), exp.items())
# test empty set
exp = SparseDict(0,0)
obs = to_sparsedict([])
self.assertEqual(obs.items(), exp.items())
if __name__ == '__main__':
main()