def testF():
"""Test Part F (of Part I) of the assignment.
This test procedure checks out the simple additions to class Cluster
to support market analysis (ratings and str support). It is perhaps
the most straightforward unit test of the lot."""
print ' Testing Part F'
# For all unit tests, create a new cluster.
cluster = Cluster([0.0, 0.0, 0.0])
# TEST CASE 1 (rating)
cornelltest.assert_equals(None, cluster.getRating())
cluster.addRating(1.0)
cornelltest.assert_floats_equal(1.0, cluster.getRating())
cluster.addRating(0.5)
cornelltest.assert_floats_equal(0.75, cluster.getRating())
cluster.addRating(0.6)
cornelltest.assert_floats_equal(0.7, cluster.getRating())
cluster.clearRating()
cornelltest.assert_equals(None, cluster.getRating())
print ' Rating methods look ok'
# TEST CASE 2 (str)
cornelltest.assert_equals(str([0.0, 0.0, 0.0]), str(cluster))
cornelltest.assert_equals(
str(cluster.__class__) + str([0.0, 0.0, 0.0]), ` cluster `)
cluster.setCentroid([0.0, 0.5, 4.2])
cornelltest.assert_equals(str([0.0, 0.5, 4.2]), str(cluster))
print ' str support look ok'
print ' Part F appears correct'
def testD():
"""testD() tests the functions iscurrency(currency) and
exchange(amount_from, currency_from, currency_to) in module a1.py"""
#test iscurrency(currency)
currency = 'USD'
result = iscurrency(currency)
cornelltest.assert_equals(True, result)
currency = 'US'
result = iscurrency(currency)
cornelltest.assert_equals(False, result)
#test exchange(amount_from, currency_from, currency_to)
amount_from = 5.0
currency_from = 'USD'
currency_to = 'EUR'
result = exchange(amount_from, currency_from, currency_to)
cornelltest.assert_floats_equal(3.77216145, result)
amount_from = -5.0
currency_from = 'KRW'
currency_to = 'USD'
result = exchange(amount_from, currency_from, currency_to)
cornelltest.assert_floats_equal(-0.004609999993546, result)
amount_from = 576.5
currency_from = 'TRY'
currency_to = 'KRW'
result = exchange(amount_from, currency_from, currency_to)
cornelltest.assert_floats_equal(308288.69086087, result)
def testD():
"""testD() tests the functions iscurrency(currency) and
exchange(amount_from, currency_from, currency_to) in module a1.py"""
#test iscurrency(currency)
currency = 'USD'
result = iscurrency(currency)
cornelltest.assert_equals(True, result)
currency = 'US'
result = iscurrency(currency)
cornelltest.assert_equals(False, result)
#test exchange(amount_from, currency_from, currency_to)
amount_from = 5.0
currency_from = 'USD'
currency_to = 'EUR'
result = exchange(amount_from, currency_from, currency_to)
cornelltest.assert_floats_equal(3.77216145, result)
amount_from = -5.0
currency_from = 'KRW'
currency_to = 'USD'
result = exchange(amount_from, currency_from, currency_to)
cornelltest.assert_floats_equal(-0.004609999993546, result)
amount_from = 576.5
currency_from = 'TRY'
currency_to = 'KRW'
result = exchange(amount_from, currency_from, currency_to)
cornelltest.assert_floats_equal(308288.69086087, result)
def testF():
"""Test Part F (of Part I) of the assignment.
This test procedure checks out the simple additions to class Cluster
to support market analysis (ratings and str support). It is perhaps
the most straightforward unit test of the lot."""
print ' Testing Part F'
# For all unit tests, create a new cluster.
cluster = Cluster([0.0,0.0,0.0])
# TEST CASE 1 (rating)
cornelltest.assert_equals(None,cluster.getRating())
cluster.addRating(1.0)
cornelltest.assert_floats_equal(1.0,cluster.getRating())
cluster.addRating(0.5)
cornelltest.assert_floats_equal(0.75,cluster.getRating())
cluster.addRating(0.6)
cornelltest.assert_floats_equal(0.7,cluster.getRating())
cluster.clearRating()
cornelltest.assert_equals(None,cluster.getRating())
print ' Rating methods look ok'
# TEST CASE 2 (str)
cornelltest.assert_equals(str([0.0,0.0,0.0]),str(cluster))
cornelltest.assert_equals(str(cluster.__class__)+str([0.0,0.0,0.0]),`cluster`)
cluster.setCentroid([0.0,0.5,4.2])
cornelltest.assert_equals(str([0.0,0.5,4.2]),str(cluster))
print ' str support look ok'
print ' Part F appears correct'
def testD():
result = a1.iscurrency('AED')
cornelltest.assert_true(result == True)
result = a1.iscurrency('LOL')
cornelltest.assert_true(result == False)
result = a1.iscurrency('MOM')
cornelltest.assert_true(result == False)
result = a1.iscurrency('USD')
cornelltest.assert_true(result == True)
#Test exchange(currency_from, currency_to, amount_from)
result = a1.exchange('USD', 'EUR', 2.5)
cornelltest.assert_floats_equal(2.24075, result)
result = a1.exchange('CAD', 'CNY', 1.0)
cornelltest.assert_floats_equal(5.1369278716282, result)
result = a1.exchange('CAD', 'CNY', 1.09)
cornelltest.assert_floats_equal(5.5992513800748, result)
result = a1.exchange('CAD', 'CNY', 1.09999)
cornelltest.assert_floats_equal(5.6505692895124, result)
def test_cluster_b():
"""Test Part B of the Cluster class assignment."""
print ' Testing Part B of class Cluster'
# A dataset with four points
items = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0],
[0.0, 0.0, 1.0]]
dset = a6.Dataset(3, items)
# Create two clusters
cluster2 = a6.Cluster(dset, [0.5, 0.5, 0.0])
cluster3 = a6.Cluster(dset, [0.0, 0.0, 0.5])
# TEST CASE 1 (distance)
dist = cluster2.distance([1.0, 0.0, -1.0])
cornelltest.assert_floats_equal(1.22474487139, dist)
# TEST CASE 2 (distance)
dist = cluster2.distance([0.5, 0.5, 0.0])
cornelltest.assert_floats_equal(0.0, dist)
# TEST CASE 3 (distance)
dist = cluster3.distance([0.5, 0.0, 0.5])
cornelltest.assert_floats_equal(0.5, dist)
print ' Method Cluster.distance() looks okay'
# TEST CASE 1 (updateCentroid): centroid remains the same
cluster2.addIndex(0)
cluster2.addIndex(1)
stable = cluster2.updateCentroid()
cornelltest.assert_float_lists_equal([0.5, 0.5, 0.0],
cluster2.getCentroid())
cornelltest.assert_true(stable)
# TEST CASE 2 (updateCentroid): centroid changes
cluster2.addIndex(2)
cluster2.addIndex(3)
stable = cluster2.updateCentroid()
cornelltest.assert_float_lists_equal([0.25, 0.25, 0.25],
cluster2.getCentroid())
cornelltest.assert_false(stable)
# updating again without changing points: centroid stable
stable = cluster2.updateCentroid()
cornelltest.assert_float_lists_equal([0.25, 0.25, 0.25],
cluster2.getCentroid())
cornelltest.assert_true(stable)
print ' Method Cluster.updateCentroid() looks okay'
print ' Part B of class Cluster appears correct'
print ''
def test_cluster_b():
"""Test Part B of the Cluster class assignment."""
print ' Testing Part B of class Cluster'
# A dataset with four points
items = [[1.0,0.0,0.0],[0.0,1.0,0.0],[0.0,0.0,0.0],[0.0,0.0,1.0]]
dset = a6.Dataset(3, items)
# Create two clusters
cluster2 = a6.Cluster(dset, [0.5,0.5,0.0])
cluster3 = a6.Cluster(dset, [0.0,0.0,0.5])
# TEST CASE 1 (distance)
dist = cluster2.distance([1.0,0.0,-1.0])
cornelltest.assert_floats_equal(1.22474487139,dist)
# TEST CASE 2 (distance)
dist = cluster2.distance([0.5,0.5,0.0])
cornelltest.assert_floats_equal(0.0,dist)
# TEST CASE 3 (distance)
dist = cluster3.distance([0.5,0.0,0.5])
cornelltest.assert_floats_equal(0.5,dist)
print ' Method Cluster.distance() looks okay'
# TEST CASE 1 (updateCentroid): centroid remains the same
cluster2.addIndex(0)
cluster2.addIndex(1)
stable = cluster2.updateCentroid()
cornelltest.assert_float_lists_equal([0.5, 0.5, 0.0], cluster2.getCentroid())
cornelltest.assert_true(stable)
# TEST CASE 2 (updateCentroid): centroid changes
cluster2.addIndex(2)
cluster2.addIndex(3)
stable = cluster2.updateCentroid()
cornelltest.assert_float_lists_equal([0.25, 0.25, 0.25], cluster2.getCentroid())
cornelltest.assert_false(stable)
# updating again without changing points: centroid stable
stable = cluster2.updateCentroid()
cornelltest.assert_float_lists_equal([0.25, 0.25, 0.25], cluster2.getCentroid())
cornelltest.assert_true(stable)
print ' Method Cluster.updateCentroid() looks okay'
print ' Part B of class Cluster appears correct'
print ''
def testD():
"""Prints: "Module al passed all tests" if all tests successful.
Precondition: a1 is a module that contains functions iscurrency()
and exchange()"""
print "Testing functions iscurrency() and exchange()"
A = "LOL"
B = "USD"
C = "XBT"
D = "LOLOL"
E = "usd"
cornelltest.assert_equals(False, a1.iscurrency(A))
cornelltest.assert_equals(True, a1.iscurrency(B))
cornelltest.assert_equals(True, a1.iscurrency(C))
cornelltest.assert_equals(False, a1.iscurrency(D))
cornelltest.assert_equals(False, a1.iscurrency(E))
cornelltest.assert_floats_equal(36.88680000000000, a1.exchange("USD", "RUB", 1.0))
cornelltest.assert_floats_equal(1.00000000000000, a1.exchange("USD", "USD", 1.0))
cornelltest.assert_floats_equal(0.08735622000000, a1.exchange("USD", "XBT", 42.0))
def testC():
"""Test Part C (of Part I) of the assignment.
This test checks the methods both nearest and partition.
For these checks, it has to go ahead and initialize some
clusters (which is done in Part D). We do this by accessing
your hidden attributes.
Normally, this is bad programming (hidden attributes can be
used inside of the class definition, but not outside). But
sometimes rules are meant to be broken, and testing is a good
time to break rules."""
print ' Testing Part C'
# FOR BOTH TEST CASES
# Create and test a non-empty database
items = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0],
[0.0, 0.0, 1.0]]
dbase = Database(3, items)
# Create two clusters
cluster1 = Cluster([0.5, 0.5, 0.0])
cluster2 = Cluster([0.0, 0.0, 0.5])
# Initialize the database to use these clusters (access hidden attributes)
# THIS VIOLATES GOOD PROGRAMMING. But sometimes rules must be broken.
dbase._clusters = [None, None] # Make sure the list can hold two clusters
dbase._clusters[0] = cluster1
dbase._clusters[1] = cluster2
dbase._ksize = 2
# TEST CASE 1 (distance)
dist = cluster1.distance([1.0, 0.0, -1.0])
cornelltest.assert_floats_equal(1.22474487139, dist)
# TEST CASE 2 (distance)
dist = cluster1.distance([0.5, 0.5, 0.0])
cornelltest.assert_floats_equal(0.0, dist)
print ' Method distance() looks okay'
# TEST CASE 3 (nearest)
nearest = dbase.nearest([1.0, 0.0, 0.0])
cornelltest.assert_equals(id(cluster1), id(nearest))
# TEST CASE 4 (nearest)
nearest = dbase.nearest([0.0, 0.0, 1.0])
cornelltest.assert_equals(id(cluster2), id(nearest))
print ' Method nearest() looks okay'
# TEST CASE 5 (partition)
dbase.partition()
# First half of list is in first cluster
cornelltest.assert_float_lists_equal(items[:2], cluster1.getContents())
# Second half of list is in second cluster
cornelltest.assert_float_lists_equal(items[2:], cluster2.getContents())
# TEST CASE 6 (partition)
# Change the clusters
dbase._clusters[0].setCentroid([0.0, 0.0, 0.5])
dbase._clusters[1].setCentroid([0.5, 0.5, 0.0])
dbase.partition()
# Second half of list is in first cluster
cornelltest.assert_float_lists_equal(items[2:], cluster1.getContents())
# First half of list is in second cluster
cornelltest.assert_float_lists_equal(items[:2], cluster2.getContents())
print ' Method partition() looks okay'
print ' Part C appears correct'
def testC():
"""Test Part C (of Part I) of the assignment.
This test checks the methods both nearest and partition.
For these checks, it has to go ahead and initialize some
clusters (which is done in Part D). We do this by accessing
your hidden attributes.
Normally, this is bad programming (hidden attributes can be
used inside of the class definition, but not outside). But
sometimes rules are meant to be broken, and testing is a good
time to break rules."""
print ' Testing Part C'
# FOR BOTH TEST CASES
# Create and test a non-empty database
items = [[1.0,0.0,0.0],[0.0,1.0,0.0],[0.0,0.0,0.0],[0.0,0.0,1.0]]
dbase = Database(3,items)
# Create two clusters
cluster1 = Cluster([0.5,0.5,0.0])
cluster2 = Cluster([0.0,0.0,0.5])
# Initialize the database to use these clusters (access hidden attributes)
# THIS VIOLATES GOOD PROGRAMMING. But sometimes rules must be broken.
dbase._clusters = [None,None] # Make sure the list can hold two clusters
dbase._clusters[0] = cluster1
dbase._clusters[1] = cluster2
dbase._ksize = 2
# TEST CASE 1 (distance)
dist = cluster1.distance([1.0,0.0,-1.0])
cornelltest.assert_floats_equal(1.22474487139,dist)
# TEST CASE 2 (distance)
dist = cluster1.distance([0.5,0.5,0.0])
cornelltest.assert_floats_equal(0.0,dist)
print ' Method distance() looks okay'
# TEST CASE 3 (nearest)
nearest = dbase.nearest([1.0,0.0,0.0])
cornelltest.assert_equals(id(cluster1),id(nearest))
# TEST CASE 4 (nearest)
nearest = dbase.nearest([0.0,0.0,1.0])
cornelltest.assert_equals(id(cluster2),id(nearest))
print ' Method nearest() looks okay'
# TEST CASE 5 (partition)
dbase.partition()
# First half of list is in first cluster
cornelltest.assert_float_lists_equal(items[:2],cluster1.getContents())
# Second half of list is in second cluster
cornelltest.assert_float_lists_equal(items[2:],cluster2.getContents())
# TEST CASE 6 (partition)
# Change the clusters
dbase._clusters[0].setCentroid([0.0,0.0,0.5])
dbase._clusters[1].setCentroid([0.5,0.5,0.0])
dbase.partition()
# Second half of list is in first cluster
cornelltest.assert_float_lists_equal(items[2:],cluster1.getContents())
# First half of list is in second cluster
cornelltest.assert_float_lists_equal(items[:2],cluster2.getContents())
print ' Method partition() looks okay'
print ' Part C appears correct'
