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""" Test functions for 1D array set operations.
"""
from numpy.testing import *
import numpy as np
from numpy.lib.arraysetops import *
import warnings
class TestSetOps(TestCase):
def test_unique( self ):
def check_all(a, b, i1, i2, dt):
msg = "check values failed for type '%s'" % dt
v = unique(a)
assert_array_equal(v, b, msg)
msg = "check indexes failed for type '%s'" % dt
v, j = unique(a, 1, 0)
assert_array_equal(v, b, msg)
assert_array_equal(j, i1, msg)
msg = "check reverse indexes failed for type '%s'" % dt
v, j = unique(a, 0, 1)
assert_array_equal(v, b, msg)
assert_array_equal(j, i2, msg)
msg = "check with all indexes failed for type '%s'" % dt
v, j1, j2 = unique(a, 1, 1)
assert_array_equal(v, b, msg)
assert_array_equal(j1, i1, msg)
assert_array_equal(j2, i2, msg)
a = [5, 7, 1, 2, 1, 5, 7]*10
b = [1, 2, 5, 7]
i1 = [2, 3, 0, 1]
i2 = [2, 3, 0, 1, 0, 2, 3]*10
# test for numeric arrays
types = []
types.extend(np.typecodes['AllInteger'])
types.extend(np.typecodes['AllFloat'])
types.append('datetime64[D]')
types.append('timedelta64[D]')
for dt in types:
aa = np.array(a, dt)
bb = np.array(b, dt)
check_all(aa, bb, i1, i2, dt)
# test for object arrays
dt = 'O'
aa = np.empty(len(a), dt)
aa[:] = a
bb = np.empty(len(b), dt)
bb[:] = b
check_all(aa, bb, i1, i2, dt)
# test for structured arrays
dt = [('', 'i'), ('', 'i')]
aa = np.array(zip(a,a), dt)
bb = np.array(zip(b,b), dt)
check_all(aa, bb, i1, i2, dt)
def test_intersect1d( self ):
# unique inputs
a = np.array( [5, 7, 1, 2] )
b = np.array( [2, 4, 3, 1, 5] )
ec = np.array( [1, 2, 5] )
c = intersect1d( a, b, assume_unique=True )
assert_array_equal( c, ec )
# non-unique inputs
a = np.array( [5, 5, 7, 1, 2] )
b = np.array( [2, 1, 4, 3, 3, 1, 5] )
ed = np.array( [1, 2, 5] )
c = intersect1d( a, b )
assert_array_equal( c, ed )
assert_array_equal([], intersect1d([],[]))
def test_setxor1d( self ):
a = np.array( [5, 7, 1, 2] )
b = np.array( [2, 4, 3, 1, 5] )
ec = np.array( [3, 4, 7] )
c = setxor1d( a, b )
assert_array_equal( c, ec )
a = np.array( [1, 2, 3] )
b = np.array( [6, 5, 4] )
ec = np.array( [1, 2, 3, 4, 5, 6] )
c = setxor1d( a, b )
assert_array_equal( c, ec )
a = np.array( [1, 8, 2, 3] )
b = np.array( [6, 5, 4, 8] )
ec = np.array( [1, 2, 3, 4, 5, 6] )
c = setxor1d( a, b )
assert_array_equal( c, ec )
assert_array_equal([], setxor1d([],[]))
def test_ediff1d(self):
zero_elem = np.array([])
one_elem = np.array([1])
two_elem = np.array([1,2])
assert_array_equal([],ediff1d(zero_elem))
assert_array_equal([0],ediff1d(zero_elem,to_begin=0))
assert_array_equal([0],ediff1d(zero_elem,to_end=0))
assert_array_equal([-1,0],ediff1d(zero_elem,to_begin=-1,to_end=0))
assert_array_equal([],ediff1d(one_elem))
assert_array_equal([1],ediff1d(two_elem))
def test_in1d(self):
# we use two different sizes for the b array here to test the
# two different paths in in1d().
for mult in (1, 10):
# One check without np.array, to make sure lists are handled correct
a = [5, 7, 1, 2]
b = [2, 4, 3, 1, 5] * mult
ec = np.array([True, False, True, True])
c = in1d(a, b, assume_unique=True)
assert_array_equal(c, ec)
a[0] = 8
ec = np.array([False, False, True, True])
c = in1d(a, b, assume_unique=True)
assert_array_equal(c, ec)
a[0], a[3] = 4, 8
ec = np.array([True, False, True, False])
c = in1d(a, b, assume_unique=True)
assert_array_equal(c, ec)
a = np.array([5, 4, 5, 3, 4, 4, 3, 4, 3, 5, 2, 1, 5, 5])
b = [2, 3, 4] * mult
ec = [False, True, False, True, True, True, True, True, True, False,
True, False, False, False]
c = in1d(a, b)
assert_array_equal(c, ec)
b = b + [5, 5, 4] * mult
ec = [True, True, True, True, True, True, True, True, True, True,
True, False, True, True]
c = in1d(a, b)
assert_array_equal(c, ec)
a = np.array([5, 7, 1, 2])
b = np.array([2, 4, 3, 1, 5] * mult)
ec = np.array([True, False, True, True])
c = in1d(a, b)
assert_array_equal(c, ec)
a = np.array([5, 7, 1, 1, 2])
b = np.array([2, 4, 3, 3, 1, 5] * mult)
ec = np.array([True, False, True, True, True])
c = in1d(a, b)
assert_array_equal(c, ec)
a = np.array([5, 5])
b = np.array([2, 2] * mult)
ec = np.array([False, False])
c = in1d(a, b)
assert_array_equal(c, ec)
a = np.array([5])
b = np.array([2])
ec = np.array([False])
c = in1d(a, b)
assert_array_equal(c, ec)
assert_array_equal(in1d([], []), [])
def test_in1d_char_array( self ):
a = np.array(['a', 'b', 'c','d','e','c','e','b'])
b = np.array(['a','c'])
ec = np.array([True, False, True, False, False, True, False, False])
c = in1d(a, b)
assert_array_equal(c, ec)
def test_in1d_ravel(self):
# Test that in1d ravels its input arrays. This is not documented
# behavior however. The test is to ensure consistentency.
a = np.arange(6).reshape(2,3)
b = np.arange(3,9).reshape(3,2)
long_b = np.arange(3, 63).reshape(30,2)
ec = np.array([False, False, False, True, True, True])
assert_array_equal(in1d(a, b, assume_unique=True), ec)
assert_array_equal(in1d(a, b, assume_unique=False), ec)
assert_array_equal(in1d(a, long_b, assume_unique=True), ec)
assert_array_equal(in1d(a, long_b, assume_unique=False), ec)
def test_union1d( self ):
a = np.array( [5, 4, 7, 1, 2] )
b = np.array( [2, 4, 3, 3, 2, 1, 5] )
ec = np.array( [1, 2, 3, 4, 5, 7] )
c = union1d( a, b )
assert_array_equal( c, ec )
assert_array_equal([], union1d([],[]))
def test_setdiff1d( self ):
a = np.array( [6, 5, 4, 7, 1, 2, 7, 4] )
b = np.array( [2, 4, 3, 3, 2, 1, 5] )
ec = np.array( [6, 7] )
c = setdiff1d( a, b )
assert_array_equal( c, ec )
a = np.arange( 21 )
b = np.arange( 19 )
ec = np.array( [19, 20] )
c = setdiff1d( a, b )
assert_array_equal( c, ec )
assert_array_equal([], setdiff1d([],[]))
def test_setdiff1d_char_array(self):
a = np.array(['a','b','c'])
b = np.array(['a','b','s'])
assert_array_equal(setdiff1d(a,b),np.array(['c']))
def test_manyways( self ):
a = np.array( [5, 7, 1, 2, 8] )
b = np.array( [9, 8, 2, 4, 3, 1, 5] )
c1 = setxor1d( a, b )
aux1 = intersect1d( a, b )
aux2 = union1d( a, b )
c2 = setdiff1d( aux2, aux1 )
assert_array_equal( c1, c2 )
if __name__ == "__main__":
run_module_suite()