""" Test functions for 1D array set operations.

"""

from numpy.testing import *
import numpy as np
from numpy.lib.arraysetops import *

import warnings

class TestAso(TestCase):
    def test_unique( self ):
        a = np.array( [5, 7, 1, 2, 1, 5, 7] )

        ec = np.array( [1, 2, 5, 7] )
        c = unique( a )
        assert_array_equal( c, ec )

        warnings.simplefilter('ignore', Warning)
        vals, indices = unique( a, return_index=True )
        warnings.resetwarnings()

        ed = np.array( [2, 3, 0, 1] )
        assert_array_equal(vals, ec)
        assert_array_equal(indices, ed)

        warnings.simplefilter('ignore', Warning)
        vals, ind0, ind1 = unique( a, return_index=True,
                                     return_inverse=True )
        warnings.resetwarnings()

        ee = np.array( [2, 3, 0, 1, 0, 2, 3] )
        assert_array_equal(vals, ec)
        assert_array_equal(ind0, ed)
        assert_array_equal(ind1, ee)

        assert_array_equal([], unique([]))

    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_intersect1d_nu( self ):
        # This should be removed when intersect1d_nu is removed.
        a = np.array( [5, 5, 7, 1, 2] )
        b = np.array( [2, 1, 4, 3, 3, 1, 5] )

        ec = np.array( [1, 2, 5] )
        warnings.simplefilter('ignore', Warning)
        c = intersect1d_nu( a, b )
        warnings.resetwarnings()
        assert_array_equal( c, ec )

        assert_array_equal([], intersect1d_nu([],[]))

    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_setmember1d( self ):
        # This should be removed when setmember1d is removed.
        a = np.array( [5, 7, 1, 2] )
        b = np.array( [2, 4, 3, 1, 5] )

        ec = np.array( [True, False, True, True] )
        warnings.simplefilter('ignore', Warning)
        c = setmember1d( a, b )
        warnings.resetwarnings()
        assert_array_equal( c, ec )

        a[0] = 8
        ec = np.array( [False, False, True, True] )
        c = setmember1d( a, b )
        assert_array_equal( c, ec )

        a[0], a[3] = 4, 8
        ec = np.array( [True, False, True, False] )
        c = setmember1d( a, b )
        assert_array_equal( c, ec )

        assert_array_equal([], setmember1d([],[]))

    def test_in1d(self):
        a = np.array( [5, 7, 1, 2] )
        b = np.array( [2, 4, 3, 1, 5] )

        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]

        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]

        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])

        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])

        ec = np.array([True, False, True, True, True])
        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)

        a = np.array([5, 5])
        b = np.array([2, 2])

        ec = np.array([False, 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_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()