def test_refine_x():
# Create a Shape object from the header
shape = Shape({
'x_number': 143,
'x_start': 84000,
'x_step': 500,
'x_stop': 155000,
'y_number': 143,
'y_start': 455000,
'y_step': 500,
'y_stop': 526000
})
# Refine shape with factor 2
shape.refine_x(2)
# Extract the dict from the Shape object
shape_dict = shape.to_dict()
assert shape_dict == {
'x_number': 285,
'x_start': 84000,
'x_step': 250,
'x_stop': 155000,
'y_number': 143,
'y_start': 455000,
'y_step': 500,
'y_stop': 526000
}
def test_refine_x_inf():
# Create a Shape object from the header
shape = Shape({
'x_number': 143,
'x_start': 84000,
'x_step': 500,
'x_stop': 155000,
'y_number': 143,
'y_start': 455000,
'y_step': 500,
'y_stop': 526000
})
# Refine the shape with factor NaN
factor = np.inf
shape.refine_x(factor)
assert False