def downsample_test(self):
# IN: 0 1 2 3 4 5
# OUT: 0 1 2
block = numpy.arange(0, 3, 0.5).reshape(6, 1)
numpy.testing.assert_array_equal(
block_functions.resample(block, 3.0 / 7).round(8),
numpy.round([[0], [0.5 * 7 / 3.0], [1 * 7 / 3.0]], 8))
# IN: 0 1 2 3 4 5 6 7 8
# OUT: 0 1 2
block = numpy.vstack(
[numpy.arange(0, 4.5, 0.5),
numpy.arange(0, 45, 5)]).transpose()
numpy.testing.assert_array_equal(
block_functions.resample(block, 1 / 4.0).round(8),
numpy.round([[0, 0], [4 * 0.5, 4 * 5], [8 * 0.5, 8 * 5]], 8))
def upsample_test(self):
# IN: 0 1 2
# OUT: 0 1 2 3 4 5 6
block = numpy.arange(0, 6, 2).reshape(3, 1)
numpy.testing.assert_array_equal(
block_functions.resample(block, 3).round(8),
numpy.round(
[[0 * 1 / 3.0], [2 * 1 / 3.0], [4 * 1 / 3.0], [6 * 1 / 3.0],
[8 * 1 / 3.0], [10 * 1 / 3.0], [12 * 1 / 3.0]], 8))
def downsample_test(self):
# IN: 0 1 2 3 4 5
# OUT: 0 1 2
block = numpy.arange(0, 3, 0.5).reshape(6, 1)
numpy.testing.assert_array_equal(
block_functions.resample(block, 3.0/7).round(8),
numpy.round([[0], [0.5 * 7 / 3.0], [1 * 7 / 3.0]], 8)
)
# IN: 0 1 2 3 4 5 6 7 8
# OUT: 0 1 2
block = numpy.vstack([
numpy.arange(0, 4.5, 0.5),
numpy.arange(0, 45, 5)
]).transpose()
numpy.testing.assert_array_equal(
block_functions.resample(block, 1/4.0).round(8),
numpy.round([[0, 0], [4 * 0.5, 4 * 5], [8 * 0.5, 8 * 5]], 8)
)
def upsample_test(self):
# IN: 0 1 2
# OUT: 0 1 2 3 4 5 6
block = numpy.arange(0, 6, 2).reshape(3, 1)
numpy.testing.assert_array_equal(
block_functions.resample(block, 3).round(8),
numpy.round([
[0 * 1/3.0], [2 * 1/3.0], [4 * 1/3.0], [6 * 1/3.0],
[8 * 1/3.0], [10 * 1/3.0], [12 * 1/3.0]
], 8)
)
def ratio1_test(self):
block = numpy.arange(0, 3, 0.5).reshape(6, 1)
numpy.testing.assert_array_equal(
block_functions.resample(block, 1).round(8),
numpy.round(block, 8)
)
def ratio1_test(self):
block = numpy.arange(0, 3, 0.5).reshape(6, 1)
numpy.testing.assert_array_equal(
block_functions.resample(block, 1).round(8), numpy.round(block, 8))
