"""
test the tensor and sparse type. (gpuarray is tested in the gpuarray folder).
"""

import numpy as np


try:
    import scipy.sparse

    scipy_imported = True
except ImportError:
    scipy_imported = False

from theano.misc.may_share_memory import may_share_memory
from theano.misc.safe_asarray import _asarray


def may_share_memory_core(a, b):
    va = a.view()
    vb = b.view()
    ra = a.reshape((4, 5))
    rb = b.reshape((4, 5))
    ta = a.T
    tb = b.T

    for a_, b_, rep in [
        (a, a, True),
        (b, b, True),
        (a, b, False),
        (a, a[0], True),
        (a, a[:, 0], True),
        (a, a.T, True),
        (a, (0,), False),
        (a, 1, False),
        (a, None, False),
        (a, va, True),
        (b, vb, True),
        (va, b, False),
        (a, vb, False),
        (a, ra, True),
        (b, rb, True),
        (ra, b, False),
        (a, rb, False),
        (a, ta, True),
        (b, tb, True),
        (ta, b, False),
        (a, tb, False),
    ]:

        assert may_share_memory(a_, b_, False) == rep
        assert may_share_memory(b_, a_, False) == rep

    # test that it raise error when needed.
    for a_, b_, rep in [
        (a, (0,), False),
        (a, 1, False),
        (a, None, False),
    ]:
        assert may_share_memory(a_, b_, False) == rep
        assert may_share_memory(b_, a_, False) == rep
        try:
            may_share_memory(a_, b_)
            raise Exception("An error was expected")
        except TypeError:
            pass
        try:
            may_share_memory(b_, a_)
            raise Exception("An error was expected")
        except TypeError:
            pass


def test_may_share_memory():
    a = np.random.rand(5, 4)
    b = np.random.rand(5, 4)

    may_share_memory_core(a, b)


if scipy_imported:

    def test_may_share_memory_scipy():
        a = scipy.sparse.csc_matrix(scipy.sparse.eye(5, 3))
        b = scipy.sparse.csc_matrix(scipy.sparse.eye(4, 3))

        def as_ar(a):
            return _asarray(a, dtype="int32")

        for a_, b_, rep in [
            (a, a, True),
            (b, b, True),
            (a, b, False),
            (a, a.data, True),
            (a, a.indptr, True),
            (a, a.indices, True),
            (a, as_ar(a.shape), False),
            (a.data, a, True),
            (a.indptr, a, True),
            (a.indices, a, True),
            (as_ar(a.shape), a, False),
            (b, b.data, True),
            (b, b.indptr, True),
            (b, b.indices, True),
            (b, as_ar(b.shape), False),
            (b.data, b, True),
            (b.indptr, b, True),
            (b.indices, b, True),
            (as_ar(b.shape), b, False),
            (b.data, a, False),
            (b.indptr, a, False),
            (b.indices, a, False),
            (as_ar(b.shape), a, False),
        ]:

            assert may_share_memory(a_, b_) == rep
            assert may_share_memory(b_, a_) == rep

        # test that it raise error when needed.
        for a_, b_, rep in [(a, (0,), False), (a, 1, False), (a, None, False)]:
            assert may_share_memory(a_, b_, False) == rep
            assert may_share_memory(b_, a_, False) == rep
            try:
                may_share_memory(a_, b_)
                raise Exception("An error was expected")
            except TypeError:
                pass
            try:
                may_share_memory(b_, a_)
                raise Exception("An error was expected")
            except TypeError:
                pass
