def test_set_x_number_2():
# 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
})
# Set the x number to 2
shape.set_x_number(2)
# Extract the dict from the Shape object
shape_dict = shape.to_dict()
assert shape_dict == {
'x_number': 2,
'x_start': 84000,
'x_step': 155000 - 84000,
'x_stop': 155000,
'y_number': 143,
'y_start': 455000,
'y_step': 500,
'y_stop': 526000
}
def test_set_y_number_11():
# 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
})
# Set the y number to 11
shape.set_y_number(11)
# Extract the dict from the Shape object
shape_dict = shape.to_dict()
# todo: Compare with the desired output
assert shape_dict == {
'x_number': 143,
'x_start': 84000,
'x_step': 500,
'x_stop': 155000,
'y_number': 11,
'y_start': 455000,
'y_step': (526000 - 455000) / 10,
'y_stop': 526000
}
def test_refine():
# 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(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': 285,
'y_start': 455000,
'y_step': 250,
'y_stop': 526000
}
def test_set_y_step():
# 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
})
# Set the y_step to 250
shape.set_y_step(250)
# Extract the dict from the Shape object
shape_dict = shape.to_dict()
# Compare with the desired input
assert shape_dict == {
'x_number': 143,
'x_start': 84000,
'x_step': 500,
'x_stop': 155000,
'y_number': 285,
'y_start': 455000,
'y_step': 250,
'y_stop': 526000
}
def test_get_y_coordinates_nan():
shape = Shape({
'x_number': 500,
'x_start': 84000,
'x_step': 500,
'x_stop': 155000,
'y_number': np.nan,
'y_start': 455000,
'y_step': 500,
'y_stop': 526000
})
y = shape.get_y_coordinates()
assert False
def test_get_x_coordinates_inf():
shape = Shape({
'x_number': np.inf,
'x_start': 84000,
'x_step': 500,
'x_stop': 155000,
'y_number': 143,
'y_start': 455000,
'y_step': 500,
'y_stop': 526000
})
x = shape.get_x_coordinates()
assert False
def test_get_y_coordinates():
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
})
y = shape.get_y_coordinates()
assert len(y) == shape.y_number
def test_set_x_number_1():
# 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
})
# Set the x number to 1
shape.set_x_number(1)
def test_set_y_number_nan():
# 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
})
# Set the y number to NaN
shape.set_y_number(np.nan)
assert False
def test_refine_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(factor)
assert False
def test_set_y_step_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
})
# Set the x_step to nan
step = np.inf
shape.set_y_step(step)
assert False
def test_shape_to_dict():
# Get the path to the envira file
file_path = abs_path('data/GP2018 - Lnight y2016.dat')
# Read the data from the envira file
header, data = read_envira(file_path)
# Create a Shape object from the header
shape = Shape(header)
# Extract the dict from the Shape object
shape_dict = shape.to_dict()
assert shape_dict == {
'x_number': 143,
'x_start': 84000,
'x_step': 500,
'x_stop': 155000,
'y_number': 143,
'y_start': 455000,
'y_step': 500,
'y_stop': 526000
}
def test_read_envira_shape():
# Get the path to the envira file
file_path = abs_path('data/GP2018 - Lnight y2016.dat')
# Read the data from the envira file
header, data = read_envira(file_path)
# Create a Shape object from the header
shape = Shape(header)
assert shape.x_number == 143
assert shape.x_start == 84000
assert shape.x_step == 500
assert shape.x_stop == 155000
assert shape.y_number == 143
assert shape.y_start == 455000
assert shape.y_step == 500
assert shape.y_stop == 526000
