import sys

import numpy as np
import numpy.ma as ma
from numpy.ma.testutils import *

from numpy.ma.mrecords import MaskedRecords

from numpy.lib.recfunctions import *
get_names = np.lib.recfunctions.get_names
get_names_flat = np.lib.recfunctions.get_names_flat
zip_descr = np.lib.recfunctions.zip_descr

class TestRecFunctions(TestCase):
    """
    Misc tests
    """
    #
    def setUp(self):
        x = np.array([1, 2,])
        y = np.array([10, 20, 30])
        z = np.array([('A', 1.), ('B', 2.)],
                     dtype=[('A', '|S3'), ('B', float)])
        w = np.array([(1, (2, 3.0)), (4, (5, 6.0))],
            dtype=[('a', int), ('b', [('ba', float), ('bb', int)])])
        self.data = (w, x, y, z)


    def test_zip_descr(self):
        "Test zip_descr"
        (w, x, y, z) = self.data
        # Std array
        test = zip_descr((x, x), flatten=True)
        assert_equal(test,
                     np.dtype([('', int), ('', int)]))
        test = zip_descr((x, x), flatten=False)
        assert_equal(test,
                     np.dtype([('', int), ('', int)]))
        # Std & flexible-dtype 
        test = zip_descr((x, z), flatten=True)
        assert_equal(test,
                     np.dtype([('', int), ('A', '|S3'), ('B', float)]))
        test = zip_descr((x, z), flatten=False)
        assert_equal(test, 
                     np.dtype([('', int),
                               ('', [('A', '|S3'), ('B', float)])]))
        # Standard & nested dtype 
        test = zip_descr((x, w), flatten=True)
        assert_equal(test,
                     np.dtype([('', int),
                               ('a', int),
                               ('ba', float), ('bb', int)]))
        test = zip_descr((x, w), flatten=False)
        assert_equal(test,
                     np.dtype([('', int),
                               ('', [('a', int),
                                     ('b', [('ba', float), ('bb', int)])])]))


    def test_drop_fields(self):
        "Test drop_fields"
        a = np.array([(1, (2, 3.0)), (4, (5, 6.0))],
                     dtype=[('a', int), ('b', [('ba', float), ('bb', int)])])
        # A basic field
        test = drop_fields(a, 'a')
        control = np.array([((2, 3.0),), ((5, 6.0),)],
                     dtype=[('b', [('ba', float), ('bb', int)])])
        assert_equal(test, control)
        # Another basic field (but nesting two fields)
        test = drop_fields(a, 'b')
        control = np.array([(1,), (4,)], dtype=[('a', int)])
        assert_equal(test, control)
        # A nested sub-field
        test = drop_fields(a, ['ba',])
        control = np.array([(1, (3.0,)), (4, (6.0,))],
                     dtype=[('a', int), ('b', [('bb', int)])])
        assert_equal(test, control)
        # All the nested sub-field from a field: zap that field
        test = drop_fields(a, ['ba', 'bb'])
        control = np.array([(1,), (4,)], dtype=[('a', int)])
        assert_equal(test, control)
        #
        test = drop_fields(a, ['a', 'b'])
        assert(test is None)


    def test_rename_fields(self):
        "Tests rename fields"
        a = np.array([(1, (2, [3.0, 30.])), (4, (5, [6.0, 60.]))],
                     dtype=[('a', int),
                            ('b', [('ba', float), ('bb', (float, 2))])])
        test = rename_fields(a, {'a':'A', 'bb':'BB'})
        newdtype = [('A', int), ('b', [('ba', float), ('BB', (float, 2))])]
        control = a.view(newdtype)
        assert_equal(test.dtype, newdtype)
        assert_equal(test, control)


    def test_get_names(self):
        "Tests get_names"
        ndtype = np.dtype([('A', '|S3'), ('B', float)])
        test = get_names(ndtype)
        assert_equal(test, ('A', 'B'))
        #
        ndtype = np.dtype([('a', int), ('b', [('ba', float), ('bb', int)])])
        test = get_names(ndtype)
        assert_equal(test, ('a', ('b', ('ba', 'bb'))))


    def test_get_names_flat(self):
        "Test get_names_flat"
        ndtype = np.dtype([('A', '|S3'), ('B', float)])
        test = get_names_flat(ndtype)
        assert_equal(test, ('A', 'B'))
        #
        ndtype = np.dtype([('a', int), ('b', [('ba', float), ('bb', int)])])
        test = get_names_flat(ndtype)
        assert_equal(test, ('a', 'b', 'ba', 'bb'))


    def test_get_fieldstructure(self):
        "Test get_fieldstructure"
        # No nested fields
        ndtype = np.dtype([('A', '|S3'), ('B', float)])
        test = get_fieldstructure(ndtype)
        assert_equal(test, {'A':[], 'B':[]})
        # One 1-nested field
        ndtype = np.dtype([('A', int), ('B', [('BA', float), ('BB', '|S1')])])
        test = get_fieldstructure(ndtype)
        assert_equal(test, {'A': [], 'B': [], 'BA':['B',], 'BB':['B']})
        # One 2-nested fields
        ndtype = np.dtype([('A', int),
                           ('B', [('BA', int),
                                  ('BB', [('BBA', int), ('BBB', int)])])])
        test = get_fieldstructure(ndtype)
        control = {'A': [], 'B': [], 'BA': ['B'], 'BB': ['B'], 
                   'BBA': ['B', 'BB'], 'BBB': ['B', 'BB']}
        assert_equal(test, control)

    def test_find_duplicates(self):
        "Test find_duplicates"
        a = ma.array([(2, (2., 'B')), (1, (2., 'B')), (2, (2., 'B')),
                      (1, (1., 'B')), (2, (2., 'B')), (2, (2., 'C'))],
                      mask=[(0, (0, 0)), (0, (0, 0)), (0, (0, 0)),
                            (0, (0, 0)), (1, (0, 0)), (0, (1, 0))],
                      dtype=[('A', int), ('B', [('BA', float), ('BB', '|S1')])])
        #
        test = find_duplicates(a, ignoremask=False, return_index=True)
        control = [0, 2]
        assert_equal(sorted(test[-1]), control)
        assert_equal(test[0], a[test[-1]])
        #
        test = find_duplicates(a, key='A', return_index=True)
        control = [0, 1, 2, 3, 5]
        assert_equal(sorted(test[-1]), control)
        assert_equal(test[0], a[test[-1]])
        #
        test = find_duplicates(a, key='B', return_index=True)
        control = [0, 1, 2, 4]
        assert_equal(sorted(test[-1]), control)
        assert_equal(test[0], a[test[-1]])
        #
        test = find_duplicates(a, key='BA', return_index=True)
        control = [0, 1, 2, 4]
        assert_equal(sorted(test[-1]), control)
        assert_equal(test[0], a[test[-1]])
        #
        test = find_duplicates(a, key='BB', return_index=True)
        control = [0, 1, 2, 3, 4]
        assert_equal(sorted(test[-1]), control)
        assert_equal(test[0], a[test[-1]])

    def test_find_duplicates_ignoremask(self):
        "Test the ignoremask option of find_duplicates"
        ndtype = [('a', int)]
        a = ma.array([1, 1, 1, 2, 2, 3, 3], 
                mask=[0, 0, 1, 0, 0, 0, 1]).view(ndtype)
        test = find_duplicates(a, ignoremask=True, return_index=True)
        control = [0, 1, 3, 4]
        assert_equal(sorted(test[-1]), control)
        assert_equal(test[0], a[test[-1]])
        #
        test = find_duplicates(a, ignoremask=False, return_index=True)
        control = [0, 1, 2, 3, 4, 6]
        assert_equal(sorted(test[-1]), control)
        assert_equal(test[0], a[test[-1]])


class TestRecursiveFillFields(TestCase):
    """
    Test recursive_fill_fields.
    """
    def test_simple_flexible(self):
        "Test recursive_fill_fields on flexible-array"
        a = np.array([(1, 10.), (2, 20.)], dtype=[('A', int), ('B', float)])
        b = np.zeros((3,), dtype=a.dtype)
        test = recursive_fill_fields(a, b)
        control = np.array([(1, 10.), (2, 20.), (0, 0.)],
                           dtype=[('A', int), ('B', float)])
        assert_equal(test, control)
    #
    def test_masked_flexible(self):
        "Test recursive_fill_fields on masked flexible-array"
        a = ma.array([(1, 10.), (2, 20.)], mask=[(0, 1), (1, 0)],
                     dtype=[('A', int), ('B', float)])
        b = ma.zeros((3,), dtype=a.dtype)
        test = recursive_fill_fields(a, b)
        control = ma.array([(1, 10.), (2, 20.), (0, 0.)],
                           mask=[(0, 1), (1, 0), (0, 0)],
                           dtype=[('A', int), ('B', float)])
        assert_equal(test, control)
    #



class TestMergeArrays(TestCase):
    """
    Test merge_arrays
    """
    def setUp(self):
        x = np.array([1, 2,])
        y = np.array([10, 20, 30])
        z = np.array([('A', 1.), ('B', 2.)], dtype=[('A', '|S3'), ('B', float)])
        w = np.array([(1, (2, 3.0)), (4, (5, 6.0))],
            dtype=[('a', int), ('b', [('ba', float), ('bb', int)])])
        self.data = (w, x, y, z)
    #
    def test_solo(self):
        "Test merge_arrays on a single array."
        (_, x, _, z) = self.data
        #
        test = merge_arrays(x)
        control = np.array([(1,), (2,)], dtype=[('f0', int)])
        assert_equal(test, control)
        test = merge_arrays((x,))
        assert_equal(test, control)
        #
        test = merge_arrays(z, flatten=False)
        assert_equal(test, z)
        test = merge_arrays(z, flatten=True)
        assert_equal(test, z)
    #
    def test_solo_w_flatten(self):
        "Test merge_arrays on a single array w & w/o flattening"
        w = self.data[0]
        test = merge_arrays(w, flatten=False)
        assert_equal(test, w)
        #
        test = merge_arrays(w, flatten=True)
        control = np.array([(1, 2, 3.0), (4, 5, 6.0)],
            dtype=[('a', int), ('ba', float), ('bb', int)])
        assert_equal(test, control)
    #
    def test_standard(self):
        "Test standard & standard"
        # Test merge arrays
        (_, x, y, _) = self.data
        test = merge_arrays((x, y), usemask=False)
        control = np.array([(1, 10), (2, 20), (-1, 30)],
                           dtype=[('f0', int), ('f1', int)])
        assert_equal(test, control)
        # 
        test = merge_arrays((x, y), usemask=True)
        control = ma.array([(1, 10), (2, 20), (-1, 30)],
                           mask=[(0, 0), (0, 0), (1, 0)],
                           dtype=[('f0', int), ('f1', int)])
        assert_equal(test, control)
        assert_equal(test.mask, control.mask)
    #
    def test_flatten(self):
        "Test standard & flexible"
        (_, x, _, z) = self.data
        test = merge_arrays((x, z), flatten=True)
        control = np.array([(1, 'A', 1.), (2, 'B', 2.)],
                           dtype=[('f0', int), ('A', '|S3'), ('B', float)])
        assert_equal(test, control)
        #
        test = merge_arrays((x, z), flatten=False)
        control = np.array([(1, ('A', 1.)), (2, ('B', 2.))],
                           dtype=[('f0', int),
                                  ('f1', [('A', '|S3'), ('B', float)])])
        assert_equal(test, control)
    #
    def test_flatten_wflexible(self):
        "Test flatten standard & nested"
        (w, x, _, _) = self.data
        test = merge_arrays((x, w), flatten=True)
        control = np.array([(1, 1, 2, 3.0), (2, 4, 5, 6.0)],
                           dtype=[('f0', int),
                                  ('a', int), ('ba', float), ('bb', int)])
        assert_equal(test, control)
        #
        test = merge_arrays((x, w), flatten=False)
        controldtype = dtype=[('f0', int),
                              ('f1', [('a', int),
                                      ('b', [('ba', float), ('bb', int)])])]
        control = np.array([(1., (1, (2, 3.0))), (2, (4, (5, 6.0)))],
                           dtype=controldtype)
    #
    def test_wmasked_arrays(self):
        "Test merge_arrays masked arrays"
        (_, x, _, _) = self.data
        mx = ma.array([1, 2, 3], mask=[1, 0, 0])
        test = merge_arrays((x, mx), usemask=True)
        control = ma.array([(1, 1), (2, 2), (-1, 3)],
                           mask=[(0, 1), (0, 0), (1, 0)],
                           dtype=[('f0', int), ('f1', int)])
        assert_equal(test, control)
        test = merge_arrays((x, mx), usemask=True, asrecarray=True)
        assert_equal(test, control)
        assert(isinstance(test, MaskedRecords))
    #
    def test_w_singlefield(self):
        "Test single field"
        test = merge_arrays((np.array([1, 2]).view([('a', int)]),
                             np.array([10., 20., 30.])),)
        control = ma.array([(1, 10.), (2, 20.), (-1, 30.)],
                           mask=[(0, 0), (0, 0), (1, 0)],
                           dtype=[('a', int), ('f1', float)])
        assert_equal(test, control)
    #
    def test_w_shorter_flex(self):
        "Test merge_arrays w/ a shorter flexndarray."
        z = self.data[-1]
        test = merge_arrays((z, np.array([10, 20, 30]).view([('C', int)])))
        control = np.array([('A', 1., 10), ('B', 2., 20), ('-1', -1, 20)],
                           dtype=[('A', '|S3'), ('B', float), ('C', int)])



class TestAppendFields(TestCase):
    """
    Test append_fields
    """
    def setUp(self):
        x = np.array([1, 2,])
        y = np.array([10, 20, 30])
        z = np.array([('A', 1.), ('B', 2.)], dtype=[('A', '|S3'), ('B', float)])
        w = np.array([(1, (2, 3.0)), (4, (5, 6.0))],
            dtype=[('a', int), ('b', [('ba', float), ('bb', int)])])
        self.data = (w, x, y, z)
    #
    def test_append_single(self):
        "Test simple case"
        (_, x, _, _) = self.data
        test = append_fields(x, 'A', data=[10, 20, 30])
        control = ma.array([(1, 10), (2, 20), (-1, 30)],
                           mask=[(0, 0), (0, 0), (1, 0)],
                           dtype=[('f0', int), ('A', int)],)
        assert_equal(test, control)
    #
    def test_append_double(self):
        "Test simple case"
        (_, x, _, _) = self.data
        test = append_fields(x, ('A', 'B'), data=[[10, 20, 30], [100, 200]])
        control = ma.array([(1, 10, 100), (2, 20, 200), (-1, 30, -1)],
                           mask=[(0, 0, 0), (0, 0, 0), (1, 0, 1)],
                           dtype=[('f0', int), ('A', int), ('B', int)],)
        assert_equal(test, control)
    #
    def test_append_on_flex(self):
        "Test append_fields on flexible type arrays"
        z = self.data[-1]
        test = append_fields(z, 'C', data=[10, 20, 30])
        control = ma.array([('A', 1., 10), ('B', 2., 20), (-1, -1., 30)],
                           mask=[(0, 0, 0), (0, 0, 0), (1, 1, 0)],
                           dtype=[('A', '|S3'), ('B', float), ('C', int)],)
        assert_equal(test, control)
    #
    def test_append_on_nested(self):
        "Test append_fields on nested fields"
        w = self.data[0]
        test = append_fields(w, 'C', data=[10, 20, 30])
        control = ma.array([(1, (2, 3.0), 10),
                            (4, (5, 6.0), 20),
                            (-1, (-1, -1.), 30)],
                      mask=[(0, (0, 0), 0), (0, (0, 0), 0), (1, (1, 1), 0)],
                     dtype=[('a', int),
                            ('b', [('ba', float), ('bb', int)]),
                            ('C', int)],)
        assert_equal(test, control)



class TestStackArrays(TestCase):
    """
    Test stack_arrays
    """
    def setUp(self):
        x = np.array([1, 2,])
        y = np.array([10, 20, 30])
        z = np.array([('A', 1.), ('B', 2.)], dtype=[('A', '|S3'), ('B', float)])
        w = np.array([(1, (2, 3.0)), (4, (5, 6.0))],
            dtype=[('a', int), ('b', [('ba', float), ('bb', int)])])
        self.data = (w, x, y, z)
    #
    def test_solo(self):
        "Test stack_arrays on single arrays"
        (_, x, _, _) = self.data
        test = stack_arrays((x,))
        assert_equal(test, x)
        self.failUnless(test is x)
        #
        test = stack_arrays(x)
        assert_equal(test, x)
        self.failUnless(test is x)
    #
    def test_unnamed_fields(self):
        "Tests combinations of arrays w/o named fields"
        (_, x, y, _) = self.data
        #
        test = stack_arrays((x, x), usemask=False)
        control = np.array([1, 2, 1, 2])
        assert_equal(test, control)
        #
        test = stack_arrays((x, y), usemask=False)
        control = np.array([1, 2, 10, 20, 30])
        assert_equal(test, control)
        #
        test = stack_arrays((y, x), usemask=False)
        control = np.array([10, 20, 30, 1, 2])
        assert_equal(test, control)
    #
    def test_unnamed_and_named_fields(self):
        "Test combination of arrays w/ & w/o named fields"
        (_, x, _, z) = self.data
        #
        test = stack_arrays((x, z))
        control = ma.array([(1, -1, -1), (2, -1, -1),
                            (-1, 'A', 1), (-1, 'B', 2)],
                      mask=[(0, 1, 1), (0, 1, 1),
                            (1, 0, 0), (1, 0, 0)],
                      dtype=[('f0', int), ('A', '|S3'), ('B', float)])
        assert_equal(test, control)
        assert_equal(test.mask, control.mask)
        #
        test = stack_arrays((z, x))
        control = ma.array([('A', 1, -1), ('B', 2, -1),
                            (-1, -1, 1), (-1, -1, 2),],
                      mask=[(0, 0, 1), (0, 0, 1),
                            (1, 1, 0), (1, 1, 0)],
                      dtype=[('A', '|S3'), ('B', float), ('f2', int)])
        assert_equal(test, control)
        assert_equal(test.mask, control.mask)
        #
        test = stack_arrays((z, z, x))
        control = ma.array([('A', 1, -1), ('B', 2, -1),
                            ('A', 1, -1), ('B', 2, -1),
                            (-1, -1, 1), (-1, -1, 2),],
                      mask=[(0, 0, 1), (0, 0, 1),
                            (0, 0, 1), (0, 0, 1),
                            (1, 1, 0), (1, 1, 0)],
                      dtype=[('A', '|S3'), ('B', float), ('f2', int)])
        assert_equal(test, control)
    #
    def test_matching_named_fields(self):
        "Test combination of arrays w/ matching field names"
        (_, x, _, z) = self.data
        zz = np.array([('a', 10., 100.), ('b', 20., 200.), ('c', 30., 300.)],
                      dtype=[('A', '|S3'), ('B', float), ('C', float)])
        test = stack_arrays((z, zz))
        control = ma.array([('A', 1, -1), ('B', 2, -1),
                            ('a', 10., 100.), ('b', 20., 200.), ('c', 30., 300.)],
                            dtype=[('A', '|S3'), ('B', float), ('C', float)],
                            mask=[(0, 0, 1), (0, 0, 1),
                                  (0, 0, 0), (0, 0, 0), (0, 0, 0)])
        assert_equal(test, control)
        assert_equal(test.mask, control.mask)
        #
        test = stack_arrays((z, zz, x))
        ndtype = [('A', '|S3'), ('B', float), ('C', float), ('f3', int)]
        control = ma.array([('A', 1, -1, -1), ('B', 2, -1, -1),
                            ('a', 10., 100., -1), ('b', 20., 200., -1),
                            ('c', 30., 300., -1),
                            (-1, -1, -1, 1), (-1, -1, -1, 2)],
                            dtype=ndtype,
                            mask=[(0, 0, 1, 1), (0, 0, 1, 1),
                                  (0, 0, 0, 1), (0, 0, 0, 1), (0, 0, 0, 1),
                                  (1, 1, 1, 0), (1, 1, 1, 0)])
        assert_equal(test, control)
        assert_equal(test.mask, control.mask)


    def test_defaults(self):
        "Test defaults: no exception raised if keys of defaults are not fields."
        (_, _, _, z) = self.data
        zz = np.array([('a', 10., 100.), ('b', 20., 200.), ('c', 30., 300.)],
                      dtype=[('A', '|S3'), ('B', float), ('C', float)])
        defaults = {'A':'???', 'B':-999., 'C':-9999., 'D':-99999.}
        test = stack_arrays((z, zz), defaults=defaults)
        control = ma.array([('A', 1, -9999.), ('B', 2, -9999.),
                            ('a', 10., 100.), ('b', 20., 200.), ('c', 30., 300.)],
                            dtype=[('A', '|S3'), ('B', float), ('C', float)],
                            mask=[(0, 0, 1), (0, 0, 1),
                                  (0, 0, 0), (0, 0, 0), (0, 0, 0)])
        assert_equal(test, control)
        assert_equal(test.data, control.data)
        assert_equal(test.mask, control.mask)


    def test_autoconversion(self):
        "Tests autoconversion"
        adtype = [('A', int), ('B', bool), ('C', float)]
        a = ma.array([(1, 2, 3)], mask=[(0, 1, 0)], dtype=adtype)
        bdtype = [('A', int), ('B', float), ('C', float)]
        b = ma.array([(4, 5, 6)], dtype=bdtype)
        control = ma.array([(1, 2, 3), (4, 5, 6)], mask=[(0, 1, 0), (0, 0, 0)],
                           dtype=bdtype)
        test = stack_arrays((a, b), autoconvert=True)
        assert_equal(test, control)
        assert_equal(test.mask, control.mask)
        try:
            test = stack_arrays((a, b), autoconvert=False)
        except TypeError:
            pass
        else:
            raise AssertionError


    def test_checktitles(self):
        "Test using titles in the field names"
        adtype = [(('a', 'A'), int), (('b', 'B'), bool), (('c', 'C'), float)]
        a = ma.array([(1, 2, 3)], mask=[(0, 1, 0)], dtype=adtype)
        bdtype = [(('a', 'A'), int), (('b', 'B'), bool), (('c', 'C'), float)]
        b = ma.array([(4, 5, 6)], dtype=bdtype)
        test = stack_arrays((a, b))
        control = ma.array([(1, 2, 3), (4, 5, 6)], mask=[(0, 1, 0), (0, 0, 0)],
                           dtype=bdtype)
        assert_equal(test, control)
        assert_equal(test.mask, control.mask)


class TestJoinBy(TestCase):
    #
    def test_base(self):
        "Basic test of join_by"
        a = np.array(zip(np.arange(10), np.arange(50, 60), np.arange(100, 110)),
                     dtype=[('a', int), ('b', int), ('c', int)])
        b = np.array(zip(np.arange(5, 15), np.arange(65, 75), np.arange(100, 110)),
                     dtype=[('a', int), ('b', int), ('d', int)])
        #
        test = join_by('a', a, b, jointype='inner')
        control = np.array([(5, 55, 65, 105, 100), (6, 56, 66, 106, 101),
                            (7, 57, 67, 107, 102), (8, 58, 68, 108, 103),
                            (9, 59, 69, 109, 104)],
                           dtype=[('a', int), ('b1', int), ('b2', int),
                                  ('c', int), ('d', int)])
        assert_equal(test, control)
        #
        test = join_by(('a', 'b'), a, b)
        control = np.array([(5, 55, 105, 100), (6, 56, 106, 101),
                            (7, 57, 107, 102), (8, 58, 108, 103),
                            (9, 59, 109, 104)],
                           dtype=[('a', int), ('b', int),
                                  ('c', int), ('d', int)])
        #
        test = join_by(('a', 'b'), a, b, 'outer')
        control = ma.array([( 0, 50, 100, -1),  ( 1, 51, 101,  -1),
                            ( 2, 52, 102, -1),  ( 3, 53, 103,  -1),
                            ( 4, 54, 104, -1),  ( 5, 55, 105,  -1),
                            ( 5, 65,  -1, 100), ( 6, 56, 106,  -1),
                            ( 6, 66,  -1, 101), ( 7, 57, 107,  -1),
                            ( 7, 67,  -1, 102), ( 8, 58, 108,  -1),
                            ( 8, 68,  -1, 103), ( 9, 59, 109,  -1),
                            ( 9, 69,  -1, 104), (10, 70,  -1, 105),
                            (11, 71,  -1, 106), (12, 72,  -1, 107),
                            (13, 73,  -1, 108), (14, 74,  -1, 109)],
                      mask=[( 0,  0,   0,   1), ( 0,  0,   0,   1),
                            ( 0,  0,   0,   1), ( 0,  0,   0,   1),
                            ( 0,  0,   0,   1), ( 0,  0,   0,   1),
                            ( 0,  0,   1,   0), ( 0,  0,   0,   1),
                            ( 0,  0,   1,   0), ( 0,  0,   0,   1),
                            ( 0,  0,   1,   0), ( 0,  0,   0,   1),
                            ( 0,  0,   1,   0), ( 0,  0,   0,   1),
                            ( 0,  0,   1,   0), ( 0,  0,   1,   0),
                            ( 0,  0,   1,   0), ( 0,  0,   1,   0),
                            ( 0,  0,   1,   0), ( 0,  0,   1,   0)],
                      dtype=[('a', int), ('b', int),
                             ('c', int), ('d', int)])
        assert_equal(test, control)
        #
        test = join_by(('a', 'b'), a, b, 'leftouter')
        control = ma.array([(0, 50, 100, -1), (1, 51, 101, -1),
                            (2, 52, 102, -1), (3, 53, 103, -1),
                            (4, 54, 104, -1), (5, 55, 105, -1),
                            (6, 56, 106, -1), (7, 57, 107, -1),
                            (8, 58, 108, -1), (9, 59, 109, -1)],
                      mask=[(0,  0,   0,  1), (0,  0,   0,  1),
                            (0,  0,   0,  1), (0,  0,   0,  1),
                            (0,  0,   0,  1), (0,  0,   0,  1),
                            (0,  0,   0,  1), (0,  0,   0,  1),
                            (0,  0,   0,  1), (0,  0,   0,  1)],
                      dtype=[('a', int), ('b', int), ('c', int), ('d', int)])




if __name__ == '__main__':
    run_module_suite()
