def go_plane2(): # combinations = { # "endurance": (np.linspace(5, 120, 10), "minutes"), # "extra_payload": (np.linspace(1, 1000, 10), "g"), # } # librarian = get_test_librarian() lib = librarian.load_library('mcdp_theory') ndp = lib.load_ndp('drone1_plane2') n = 10 def interpolate_endurance(i): assert 0 <= i< n x = np.linspace(5, 60, n)[i] return (x, "minutes") def interpolate_extra_payload(i): assert 0 <= i< n x = np.linspace(1, 500, n)[i] return (x, "g") queries = [] for i in range(n): q = {} q['endurance'] = interpolate_endurance(i) q['extra_payload'] = interpolate_extra_payload(i) queries.append(q) result_like = dict(total_mass="kg", total_cost="USD") data = solve_queries(ndp, queries, result_like, lower=None, upper=None) return data
def go_plane2(): # combinations = { # "endurance": (np.linspace(5, 120, 10), "minutes"), # "extra_payload": (np.linspace(1, 1000, 10), "g"), # } # librarian = get_test_librarian() lib = librarian.load_library('mcdp_theory') ndp = lib.load_ndp('drone1_plane2') n = 10 def interpolate_endurance(i): assert 0 <= i < n x = np.linspace(5, 60, n)[i] return (x, "minutes") def interpolate_extra_payload(i): assert 0 <= i < n x = np.linspace(1, 500, n)[i] return (x, "g") queries = [] for i in range(n): q = {} q['endurance'] = interpolate_endurance(i) q['extra_payload'] = interpolate_extra_payload(i) queries.append(q) result_like = dict(total_mass="kg", total_cost="USD") data = solve_queries(ndp, queries, result_like, lower=None, upper=None) return data
def go_plane1(): librarian = get_test_librarian() lib = librarian.load_library('mcdp_theory') ndp = lib.load_ndp('drone1_plane1') n = 10 def interpolate_endurance(i): assert 0 <= i< n x = np.linspace(5, 120, n)[i] return (x, "minutes") def interpolate_missions(i): assert 0 <= i< n x = np.linspace(1, 1000, n)[i] return (x, "[]") queries = [] for i in range(n): q = {} q['endurance'] = interpolate_endurance(i) q['num_missions'] = interpolate_missions(i) queries.append(q) result_like = dict(total_mass="kg", total_cost="USD") data = solve_queries(ndp, queries, result_like, lower=None, upper=None) return data
def go_plane1(): librarian = get_test_librarian() lib = librarian.load_library('mcdp_theory') ndp = lib.load_ndp('drone1_plane1') n = 10 def interpolate_endurance(i): assert 0 <= i < n x = np.linspace(5, 120, n)[i] return (x, "minutes") def interpolate_missions(i): assert 0 <= i < n x = np.linspace(1, 1000, n)[i] return (x, "[]") queries = [] for i in range(n): q = {} q['endurance'] = interpolate_endurance(i) q['num_missions'] = interpolate_missions(i) queries.append(q) result_like = dict(total_mass="kg", total_cost="USD") data = solve_queries(ndp, queries, result_like, lower=None, upper=None) return data
def go_(model_name, queries, result_like, what_to_plot_res, what_to_plot_fun, fn): lib = MCDPLibrary() lib.add_search_dir('.') ndp = lib.load_ndp(model_name) data = solve_queries(ndp, queries, result_like) r = Report() plot_all_directions(r, queries=data['queries'], results=data['results'], what_to_plot_res=what_to_plot_res, what_to_plot_fun=what_to_plot_fun) print('writing to %r' % fn) r.to_html(fn)
def go(): model_name = 'droneC' queries = [] def add(q): queries.append(q) n = 10 endurance = np.linspace(1, 20, n) payload = np.linspace(5, 50, n) for endurance, payload in zip(endurance, payload): q = { "num_missions": (1000, "[]"), "extra_power": (5, "W"), "extra_payload": (payload, "g"), "endurance": (endurance, "minutes"), } add(q) result_like = dict(total_cost="CHF", total_mass='kg') what_to_plot_res = result_like what_to_plot_fun = dict(extra_payload="g", endurance="minutes") librarian = Librarian() librarian.find_libraries('..') lib = librarian.load_library('droneC_cost_v1') ndp = lib.load_ndp(model_name) data = solve_queries(ndp, queries, result_like) r = Report() plot_all_directions(r, queries=data['queries'], results=data['results'], what_to_plot_res=what_to_plot_res, what_to_plot_fun=what_to_plot_fun) fn = 'out/droneC_c1.html' print('writing to %r' % fn) r.to_html(fn)
def go(): fn = 'out/actuation_c1.html' model_name = 'actuation' queries = [] def add(q): queries.append(q) n = 10 lifts = np.linspace(0, 10.0, n) for lift, in zip(lifts): q = { "lift": (lift, "N"), } add(q) result_like = dict(power="W", cost='$') what_to_plot_res = result_like what_to_plot_fun = dict(lift="N") lib = MCDPLibrary() lib.add_search_dir('.') ndp = lib.load_ndp(model_name) data = solve_queries(ndp, queries, result_like) r = Report() plot_all_directions(r, queries=data['queries'], results=data['results'], what_to_plot_res=what_to_plot_res, what_to_plot_fun=what_to_plot_fun) print('writing to %r' % fn) r.to_html(fn)