from ..common import ut
import h5py as h5
import numpy as np


@ut.skipUnless(h5.version.hdf5_version_tuple >= (1, 9, 233),
               'VDS requires HDF5 >= 1.9.233')
class TestVirtualSource(ut.TestCase):
    def test_full_slice(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[:,:,:]
        self.assertEqual(dataset.shape,sliced.shape)

    # def test_full_slice_inverted(self):
    #     dataset = h5.VirtualSource('test','test',(20,30,30))
    #     sliced = dataset[:,:,::-1]
    #     self.assertEqual(dataset.shape,sliced.shape)
    #
    # def test_subsampled_slice_inverted(self):
    #     dataset = h5.VirtualSource('test','test',(20,30,30))
    #     sliced = dataset[:,:,::-2]
    #     self.assertEqual((20,30,15),sliced.shape)

    def test_integer_indexed(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[5,:,:]
        self.assertEqual((30,30),sliced.shape)

    def test_integer_single_indexed(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[5]
        self.assertEqual((30,30),sliced.shape)

    def test_two_integer_indexed(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[5,:,10]
        self.assertEqual((30,),sliced.shape)

    def test_single_range(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[5:10,:,:]
        self.assertEqual((5,)+dataset.shape[1:],sliced.shape)

    def test_shape_calculation_positive_step(self):
        dataset = h5.VirtualSource('test','test',(20,))
        cmp = []
        for i in range(5):
            d = dataset[2:12+i:3].shape[0]
            ref = np.arange(20)[2:12+i:3].size
            cmp.append(ref==d)
        self.assertEqual(5, sum(cmp))

    # def test_shape_calculation_positive_step_switched_start_stop(self):
    #     dataset = h5.VirtualSource('test','test',(20,))
    #     cmp = []
    #     for i in range(5):
    #         d = dataset[12+i:2:3].shape[0]
    #         ref = np.arange(20)[12+i:2:3].size
    #         cmp.append(ref==d)
    #     self.assertEqual(5, sum(cmp))
    #
    #
    # def test_shape_calculation_negative_step(self):
    #     dataset = h5.VirtualSource('test','test',(20,))
    #     cmp = []
    #     for i in range(5):
    #         d = dataset[12+i:2:-3].shape[0]
    #         ref = np.arange(20)[12+i:2:-3].size
    #         cmp.append(ref==d)
    #     self.assertEqual(5, sum(cmp))
    #
    # def test_shape_calculation_negative_step_switched_start_stop(self):
    #     dataset = h5.VirtualSource('test','test',(20,))
    #     cmp = []
    #     for i in range(5):
    #         d = dataset[2:12+i:-3].shape[0]
    #         ref = np.arange(20)[2:12+i:-3].size
    #         cmp.append(ref==d)
    #     self.assertEqual(5, sum(cmp))


    def test_double_range(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[5:10,:,20:25]
        self.assertEqual((5,30,5),sliced.shape)

    def test_double_strided_range(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[6:12:2,:,20:26:3]
        self.assertEqual((3,30,2,),sliced.shape)

    # def test_double_strided_range_inverted(self):
    #     dataset = h5.VirtualSource('test','test',(20,30,30))
    #     sliced = dataset[12:6:-2,:,26:20:-3]
    #     self.assertEqual((3,30,2),sliced.shape)

    def test_negative_start_index(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[-10:16]
        self.assertEqual((6,30,30),sliced.shape)

    def test_negative_stop_index(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[10:-4]
        self.assertEqual((6,30,30),sliced.shape)

    def test_negative_start_and_stop_index(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[-10:-4]
        self.assertEqual((6,30,30),sliced.shape)

    # def test_negative_start_and_stop_and_stride_index(self):
    #     dataset = h5.VirtualSource('test','test',(20,30,30))
    #     sliced = dataset[-4:-10:-2]
    #     self.assertEqual((3,30,30),sliced.shape)
#
    def test_ellipsis(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[...]
        self.assertEqual(dataset.shape,sliced.shape)

    def test_ellipsis_end(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[0:1,...]
        self.assertEqual((1,)+dataset.shape[1:],sliced.shape)

    def test_ellipsis_start(self):
        dataset = h5.VirtualSource('test','test',(20,30,30))
        sliced = dataset[...,0:1]
        self.assertEqual(dataset.shape[:-1]+(1,),sliced.shape)

    def test_ellipsis_sandwich(self):
        dataset = h5.VirtualSource('test','test',(20,30,30,40))
        sliced = dataset[0:1,...,5:6]
        self.assertEqual((1,)+dataset.shape[1:-1]+(1,),sliced.shape)

    def test_integer_shape(self):
        dataset = h5.VirtualSource('test','test', 20)
        self.assertEqual(dataset.shape, (20,))

    def test_integer_maxshape(self):
        dataset = h5.VirtualSource('test','test', 20, maxshape=30)
        self.assertEqual(dataset.maxshape, (30,))

    def test_extra_args(self):
        with h5.File(name='f1', driver='core',
                     backing_store=False, mode='w') as ftest:
            ftest['a'] = [1, 2, 3]
            a = ftest['a']

            with self.assertRaises(TypeError):
                h5.VirtualSource(a, 'b')
            with self.assertRaises(TypeError):
                h5.VirtualSource(a, shape=(1, ))
            with self.assertRaises(TypeError):
                h5.VirtualSource(a, maxshape=(None,))
            with self.assertRaises(TypeError):
                h5.VirtualSource(a, dtype=int)



if __name__ == "__main__":
    ut.main()