__MACOSX/._Assignment (empty scaffold) Assignment (empty scaffold)/simulate.py # Name: # SID: # unikey: import math import sys from sim_config import sim_config from sim_results import sim_results...

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__MACOSX/._Assignment (empty scaffold) Assignment (empty scaffold)/simulate.py # Name: # SID: # unikey: import math import sys from sim_config import sim_config from sim_results import sim_results from sim_loader import * from sim_particle import * from sim_particles2d import * ''' simulate.py Student is to complete the functions: summarise_sim_data summarise_soil_data check_simulation_data calculate_applicable_load calculate_current_load simulation_start No modification is needed for functions, or sections: find_leak_points find_leak_points_r setup_config simulate_main main if __name__ == "__main__": ''' def summarise_sim_data(config): ''' print the summary of the simulation parameter data input: config variables load_location, load_width, load_weight, load_type, load_timing, load_custom_data output: list of strings ''' strs_out = [] i=0 while True: strs_out.append[] return strs_out def summarise_soil_data(config): ''' print the summary of the soil data input: config variables soil_width, soil_depth, soil_key_desc, soil_data output: list of strings ''' strs_out = [] return strs_out def check_simulation_data(config): ''' check the simulation parameters and soil data are compatible - load location must be within the columns of soil defined - load width cannot overhang last soil column input: config variables for simulation parameters and soil output: on success, return True, otherwise return False ''' pass def find_leak_points_r(start, fluid_body_particles): # DO NOT MODIFY ''' Given ''' leak_points = [] p = start if p == None: return [] if p.processed: return [] if p.type == 'B': return [] if p.type == 'V': p.processed = True return [p] p.processed = True fluid_body_particles.append(p) for i in range(4): if p.n[i] != None: leak_points += find_leak_points_r(p.n[i], fluid_body_particles) return leak_points def find_leak_points(start): # DO NOT MODIFY ''' Given ''' fluid_body_particles = [] leak_points = find_leak_points_r(start, fluid_body_particles) return (leak_points, fluid_body_particles) def calculate_applicable_load(config, particles2d, current_load): ''' Calculate how much of the load will be applied based on whether there are bedrock columns. When there are no bedrock columns, there is no change to the actual load. When there are all bedrock columns, the actual load is zero. For all other cases, the actual load is load - all load bearing bedrock columns Formula for your idea: load = load * ( #non-bedrock-cols / width + #bedrock-cols / width ) input: current_load, the number of kN for the given time instance (externally calculated based on non constant load type) config data with Load location and dimensions. particle2d - 2D grid of particles at present output: the kN (single float) applied to the body of water ''' pass def calculate_current_load(config, hours_passed): ''' caclulate the amount of weight to be applied at hours_passed time. - Where the load type is constant. config.load_weight is returned. - Where the load type is linear, a calculation is needed based on hours_passed and load_timing. If the hours_passed exceeds load_timing, then the full load_weight is used - Where the load type is custom, the calculation follows the pairs of time,load values in config.load_custom_data. config.load_custom_data is assumed to be in time sorted order with no duplicates. The intermediate values of custom data use the last known time's load value. If the hours_passed is before all time/load pairs, then the load is zero. input: config information config.load_weight, config.load_type, config.load_timing, config.load_custom_data hours_passed - representing the current time in the simulation. must be a positive integer output: on success, the load applied (single float) is returned (without considering the soil information) on failure, -1.0 is returned ''' pass def simulation_start(config, results): ''' Partially given run the simulation input: using the already loaded - config variables - particles2d, leak_points, fluid_body_particles output: - fill in the results object with information abotu the simulation and the outcome - list of strings for any output to be printed ''' strs_out = [] particles2d = create_2d_particle_array(config.soil_width, config.soil_depth, config.soil_data) print(particles2d) start_particles = [] start_loc = [0, config.load_location ] for j in range(config.load_width): start_particles.append( particles2d[start_loc[0]][start_loc[1] + j] ) print(start_particles) reset_particles2d(particles2d) visualise_particles2d(particles2d) load_connected_to_body = False found_water_body = False leak_points_ever_found = False leak_points = [] fluid_body_particles = [] for start in start_particles: leak_points, fluid_body_particles = find_leak_points(start) # check that the load is adjacent to a body of water (only one needed) load_connected_to_body = False for load_index in range(config.load_width): if particles2d[0][config.load_location+load_index].type == 'C': load_connected_to_body = True break if load_connected_to_body: found_water_body = True if len(leak_points) != 0: leak_points_ever_found = True break # CHECK if the simulation can be run # - is there a water body? # - are there leak points? # - is the load connected to the body? total_water_removed = 0 hours_passed = 0 heights = [] # REPEAT until consolidated # update the number of hours passed # calculate the current load # calculate the applicable/final load # add the final load for this timestep to results # calculate the water moved # calculate the amount of water to remove from each particle # remove water from all fluid_body_particles only if they continue to hold water # Note: you must modify the .water attribute to reflect the water remaining in this particle # update the total amount of water removed so far # calculate the heights of all columns for this hour # add the height information for this timestep to results #visualise_particles2d_water(particles2d) # test if consolidated # set the results for consolidation information visualise_particles2d(particles2d) print_heights(config.soil_depth, heights, 4,4) # return return strs_out def setup_config(sim_param_file, soil_data_file, output_file): # DO NOT MODIFY ''' Given input: three file names output:
Answered 1 days AfterJun 03, 2021

Answer To: __MACOSX/._Assignment (empty scaffold) Assignment (empty scaffold)/simulate.py # Name: # SID: #...

Shashank answered on Jun 05 2021
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