def test_column_plate():
# 384
plate_384 = plate_generator.column_plate(plate=384)
assert plate_384.shape == SHAPE_384
assert isinstance(plate_384.data, np.ndarray)
# 1536
plate_1536 = plate_generator.column_plate(plate=1536)
assert plate_1536.shape == SHAPE_1536
assert isinstance(plate_1536.data, np.ndarray)
def test_add_plates():
plate_a = plate_generator.normal_plate()
plate_b = plate_generator.column_plate()
combined_plate = plate_a + plate_b
assert isinstance(combined_plate, plate_generator.Plate)
# do the same operation in numpy
combined_array = plate_a.data + plate_b.data
assert (combined_array == combined_plate.data).all()
# try adding a scalar value
add_one = plate_a + 1
assert isinstance(add_one, plate_generator.Plate)
assert isinstance(add_one.data, np.ndarray)
# to the same operation in numpy
add_one_array = plate_a.data + 1
assert (add_one.data == add_one_array).all()
# add multiple
plate_c = plate_generator.column_plate()
combined_three = plate_a + plate_b + plate_c
assert isinstance(combined_three.data, np.ndarray)
assert isinstance(combined_three, plate_generator.Plate)
def test_divide_plates():
plate_a = plate_generator.normal_plate()
plate_b = plate_generator.column_plate()
div_plate = plate_a / plate_b
assert isinstance(div_plate, plate_generator.Plate)
# do the same operation in numpy
div_array = plate_a.data / plate_b.data
assert (div_array == div_plate.data).all()
# try adding a scalar value
div_two = plate_a / 2
assert isinstance(div_two, plate_generator.Plate)
assert isinstance(div_two.data, np.ndarray)
# to the same operation in numpy
div_two_array = plate_a.data / 2
assert (div_two.data == div_two_array).all()
def test_subtract_plates():
plate_a = plate_generator.normal_plate()
plate_b = plate_generator.column_plate()
subtracted_plate = plate_a - plate_b
assert isinstance(subtracted_plate, plate_generator.Plate)
# do the same operation in numpy
subtracted_array = plate_a.data - plate_b.data
assert (subtracted_array == subtracted_plate.data).all()
# try adding a scalar value
subtract_one = plate_a - 1
assert isinstance(subtract_one, plate_generator.Plate)
assert isinstance(subtract_one.data, np.ndarray)
# to the same operation in numpy
subtract_one_array = plate_a.data - 1
assert (subtract_one.data == subtract_one_array).all()
def test_multiply_plates():
plate_a = plate_generator.normal_plate()
plate_b = plate_generator.column_plate()
combined_plate = plate_a * plate_b
assert isinstance(combined_plate, plate_generator.Plate)
# do the same operation in numpy
combined_array = plate_a.data * plate_b.data
assert (combined_array == combined_plate.data).all()
# try adding a scalar value
mult_two = plate_a * 2
assert isinstance(mult_two, plate_generator.Plate)
assert isinstance(mult_two.data, np.ndarray)
# to the same operation in numpy
mult_two_array = plate_a.data * 2
assert (mult_two.data == mult_two_array).all()