  import simpa

# Define global parameters for the simulation
global_params = {
    "volume_dimensions": (100, 100, 100),
    "spacing": (1, 1, 1),
    "wavelengths": [400, 500, 600],
    "linear_unmixing": True
}

# Define the tissue structure with specific properties for each component
def create_tissue_structure(global_params):
    background = simpa.Background(global_params["volume_dimensions"],
                                  global_params["spacing"],
                                  background_type="homogeneous",
                                  background_value=0)

    muscle_layer = simpa.MuscleLayer(global_params["volume_dimensions"],
                                     global_params["spacing"],
                                     muscle_type="homogeneous",
                                     muscle_value=100)

    epidermis_layer = simpa.EpidermisLayer(global_params["volume_dimensions"],
                                           global_params["spacing"],
                                           epidermis_type="homogeneous",
                                           epidermis_value=10)

    blood_vessels = simpa.BloodVessels(global_params["volume_dimensions"],
                                       global_params["spacing"],
                                       blood_vessels_type="homogeneous",
                                       blood_vessels_value=10)

    return background, muscle_layer, epidermis_layer, blood_vessels

# Create the tissue structure with specific properties for each component
background, muscle_layer, epidermis_layer, blood_vessels = create_tissue_structure(global_params)

# Set up the simulation
simulation = simpa.Simulation(global_params["volume_dimensions"],
                              global_params["spacing"],
                              global_params["wavelengths"],
                              background,
                              muscle_layer,
                              epidermis_layer,
                              blood_vessels)

# Run the simulation for all wavelengths specified
simulation.run()

# Load the simulation results and perform linear unmixing
simulation_results = simulation.get_results()
linear_unmixing = simpa.LinearUnmixing(simulation_results, global_params["wavelengths"])
linear_unmixing.run()

# Visualize the simulation results and linear unmixing
simulation_visualization = simpa.Visualization(simulation_results, linear_unmixing.get_results())
simulation_visualization.show()