""" 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(list(zip(a,a)), dt)
        bb = np.array(list(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()
