import warnings
from numpy.testing import *
from numpy.core import array, atleast_1d, atleast_2d, atleast_3d, vstack, \
        hstack, newaxis, concatenate, arange, float64

class TestAtleast1d(TestCase):
    def test_0D_array(self):
        a = array(1); b = array(2);
        res=list(map(atleast_1d,[a,b]))
        desired = [array([1]),array([2])]
        assert_array_equal(res,desired)

    def test_1D_array(self):
        a = array([1,2]); b = array([2,3]);
        res=list(map(atleast_1d,[a,b]))
        desired = [array([1,2]),array([2,3])]
        assert_array_equal(res,desired)

    def test_2D_array(self):
        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
        res=list(map(atleast_1d,[a,b]))
        desired = [a,b]
        assert_array_equal(res,desired)

    def test_3D_array(self):
        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
        a = array([a,a]);b = array([b,b]);
        res=list(map(atleast_1d,[a,b]))
        desired = [a,b]
        assert_array_equal(res,desired)

    def test_r1array(self):
        """ Test to make sure equivalent Travis O's r1array function
        """
        assert_(atleast_1d(3).shape == (1,))
        assert_(atleast_1d(3j).shape == (1,))
        assert_(atleast_1d(3).shape == (1,))
        assert_(atleast_1d(3.0).shape == (1,))
        assert_(atleast_1d([[2,3],[4,5]]).shape == (2,2))


class TestAtleast2d(TestCase):
    def test_0D_array(self):
        a = array(1); b = array(2);
        res=list(map(atleast_2d,[a,b]))
        desired = [array([[1]]),array([[2]])]
        assert_array_equal(res,desired)

    def test_1D_array(self):
        a = array([1,2]); b = array([2,3]);
        res=list(map(atleast_2d,[a,b]))
        desired = [array([[1,2]]),array([[2,3]])]
        assert_array_equal(res,desired)

    def test_2D_array(self):
        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
        res=list(map(atleast_2d,[a,b]))
        desired = [a,b]
        assert_array_equal(res,desired)

    def test_3D_array(self):
        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
        a = array([a,a]);b = array([b,b]);
        res=list(map(atleast_2d,[a,b]))
        desired = [a,b]
        assert_array_equal(res,desired)

    def test_r2array(self):
        """ Test to make sure equivalent Travis O's r2array function
        """
        assert_(atleast_2d(3).shape == (1,1))
        assert_(atleast_2d([3j,1]).shape == (1,2))
        assert_(atleast_2d([[[3,1],[4,5]],[[3,5],[1,2]]]).shape == (2,2,2))


class TestAtleast3d(TestCase):
    def test_0D_array(self):
        a = array(1); b = array(2);
        res=list(map(atleast_3d,[a,b]))
        desired = [array([[[1]]]),array([[[2]]])]
        assert_array_equal(res,desired)

    def test_1D_array(self):
        a = array([1,2]); b = array([2,3]);
        res=list(map(atleast_3d,[a,b]))
        desired = [array([[[1],[2]]]),array([[[2],[3]]])]
        assert_array_equal(res,desired)

    def test_2D_array(self):
        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
        res=list(map(atleast_3d,[a,b]))
        desired = [a[:,:,newaxis],b[:,:,newaxis]]
        assert_array_equal(res,desired)

    def test_3D_array(self):
        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
        a = array([a,a]);b = array([b,b]);
        res=list(map(atleast_3d,[a,b]))
        desired = [a,b]
        assert_array_equal(res,desired)


class TestHstack(TestCase):
    def test_0D_array(self):
        a = array(1); b = array(2);
        res=hstack([a,b])
        desired = array([1,2])
        assert_array_equal(res,desired)

    def test_1D_array(self):
        a = array([1]); b = array([2]);
        res=hstack([a,b])
        desired = array([1,2])
        assert_array_equal(res,desired)

    def test_2D_array(self):
        a = array([[1],[2]]); b = array([[1],[2]]);
        res=hstack([a,b])
        desired = array([[1,1],[2,2]])
        assert_array_equal(res,desired)


class TestVstack(TestCase):
    def test_0D_array(self):
        a = array(1); b = array(2);
        res=vstack([a,b])
        desired = array([[1],[2]])
        assert_array_equal(res,desired)

    def test_1D_array(self):
        a = array([1]); b = array([2]);
        res=vstack([a,b])
        desired = array([[1],[2]])
        assert_array_equal(res,desired)

    def test_2D_array(self):
        a = array([[1],[2]]); b = array([[1],[2]]);
        res=vstack([a,b])
        desired = array([[1],[2],[1],[2]])
        assert_array_equal(res,desired)

    def test_2D_array2(self):
        a = array([1,2]); b = array([1,2]);
        res=vstack([a,b])
        desired = array([[1,2],[1,2]])
        assert_array_equal(res,desired)

def test_concatenate():
    # Test concatenate function
    # No arrays raise ValueError
    assert_raises(ValueError, concatenate, ())
    # Scalars cannot be concatenated
    assert_raises(ValueError, concatenate, (0,))
    assert_raises(ValueError, concatenate, (array(0),))
    # One sequence returns unmodified (but as array)
    r4 = list(range(4))
    assert_array_equal(concatenate((r4,)), r4)
    # Any sequence
    assert_array_equal(concatenate((tuple(r4),)), r4)
    assert_array_equal(concatenate((array(r4),)), r4)
    # 1D default concatenation
    r3 = list(range(3))
    assert_array_equal(concatenate((r4, r3)), r4 + r3)
    # Mixed sequence types
    assert_array_equal(concatenate((tuple(r4), r3)), r4 + r3)
    assert_array_equal(concatenate((array(r4), r3)), r4 + r3)
    # Explicit axis specification
    assert_array_equal(concatenate((r4, r3), 0), r4 + r3)
    # Including negative
    assert_array_equal(concatenate((r4, r3), -1), r4 + r3)
    # 2D
    a23 = array([[10, 11, 12], [13, 14, 15]])
    a13 = array([[0, 1, 2]])
    res = array([[10, 11, 12], [13, 14, 15], [0, 1, 2]])
    assert_array_equal(concatenate((a23, a13)), res)
    assert_array_equal(concatenate((a23, a13), 0), res)
    assert_array_equal(concatenate((a23.T, a13.T), 1), res.T)
    assert_array_equal(concatenate((a23.T, a13.T), -1), res.T)
    # Arrays much match shape
    assert_raises(ValueError, concatenate, (a23.T, a13.T), 0)
    # 3D
    res = arange(2 * 3 * 7).reshape((2, 3, 7))
    a0 = res[..., :4]
    a1 = res[..., 4:6]
    a2 = res[..., 6:]
    assert_array_equal(concatenate((a0, a1, a2), 2), res)
    assert_array_equal(concatenate((a0, a1, a2), -1), res)
    assert_array_equal(concatenate((a0.T, a1.T, a2.T), 0), res.T)


def test_concatenate_sloppy0():
    # Versions of numpy < 1.7.0 ignored axis argument value for 1D arrays.  We
    # allow this for now, but in due course we will raise an error
    r4 = list(range(4))
    r3 = list(range(3))
    assert_array_equal(concatenate((r4, r3), 0), r4 + r3)
    warnings.simplefilter('ignore', DeprecationWarning)
    try:
        assert_array_equal(concatenate((r4, r3), -10), r4 + r3)
        assert_array_equal(concatenate((r4, r3), 10), r4 + r3)
    finally:
        warnings.filters.pop(0)
    # Confirm DepractionWarning raised
    warnings.simplefilter('always', DeprecationWarning)
    warnings.simplefilter('error', DeprecationWarning)
    try:
        assert_raises(DeprecationWarning, concatenate, (r4, r3), 10)
    finally:
        warnings.filters.pop(0)
        warnings.filters.pop(0)

def test_concatenate_axis_None():
    a = arange(4, dtype=float64).reshape((2,2))
    b = list(range(3))
    c = ['x']
    r = concatenate((a, a), axis=None)
    assert_equal(r.dtype, a.dtype)
    assert_equal(r.ndim, 1)
    r = concatenate((a, b), axis=None)
    assert_equal(r.size, a.size + len(b))
    assert_equal(r.dtype, a.dtype)
    r = concatenate((a, b, c), axis=None)
    d = array(['0', '1', '2', '3', 
               '0', '1', '2', 'x'])
    assert_array_equal(r,d)

if __name__ == "__main__":
    run_module_suite()
