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, 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='$')
what_to_plot_res = result_like
what_to_plot_fun = dict(lift="N")
lib = MCDPLibrary()
lib.add_search_dir('.')
ndp = lib.load_ndp(model_name)
data = solve_queries(ndp, queries, result_like)
r = Report()
plot_all_directions(r,
queries=data['queries'],
results=data['results'],
what_to_plot_res=what_to_plot_res,
what_to_plot_fun=what_to_plot_fun)
print('writing to %r' % fn)
r.to_html(fn)
def go():
fn = 'out/actuation_c1.html'
model_name = 'actuation'
queries = []
def add(q):
queries.append(q)
n = 10
lifts = np.linspace(0, 10.0, n)
for lift, in zip(lifts):
q = {
"lift": (lift, "N"),
}
add(q)
result_like = dict(power="W", cost='$')
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)
