code stringlengths 3 6.57k |
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problem.constant('xb', 5, '1') |
problem.constant('yb', 5, '1') |
problem.constant('u_max', 0.1, '1') |
problem.constant('v', 30, '1') |
problem.constant('x_s', 1, '1') |
problem.constant('y_s', 1, '1') |
problem.constant('theta_s', 1, '1') |
problem.constant('p11_s', 1e-3, '1') |
problem.constant('p12_s', 1e-3, '1') |
problem.constant('p13_s', 1e-3, '1') |
problem.constant('p22_s', 1e-1, '1') |
problem.constant('p23_s', 1e-2, '1') |
problem.constant('p33_s', 1e-3, '1') |
problem.constant('ep', 5, '1') |
problem.constant('k', 0, '1') |
algorithms.MultipleShooting(derivative_method='fd', tolerance=1e-4, max_iterations=1000, verbose=True, cached=False, number_arcs=64) |
algorithms.SingleShooting(derivative_method='fd',tolerance=1e-4, max_iterations=1000, verbose=True, cached=False) |
problem.scale.unit('m', 1) |
unit('s', 1) |
unit('kg', 1) |
unit('rad', 1) |
quantity (not implemented at present) |
Value('tanAng','tan(theta) |
problem.guess.setup('auto', start=[0, 0, 0, 0, 0, 0, 0, 0, 0], time_integrate=1, costate_guess=[0, 0, 0.001, -0.0001, 0.0, 0.0, 0.001, 0.0, 0.]) |
problem.guess.setup('auto',start=[80000,3.38575809e-21,5000,7.98617365e-02, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],direction='forward',time_integrate=229.865209,costate_guess =[-1.37514494e+01,3.80852584e+06,-3.26290152e+03,-2.31984720e-14,0.00,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01]) |
problem.steps.add_step() |
num_cases(5) |
terminal('x_n', 20) |
terminal('y_n', 0) |
problem.steps.add_step() |
num_cases(10) |
const('xb', 200) |
const('yb', 600) |
problem.steps.add_step() |
num_cases(80) |
terminal('x_n', 4000) |
problem.steps.add_step() |
num_cases(20) |
const('k', 1) |
problem.steps.add_step() |
num_cases(10) |
const('xb', 7) |
const('yb', 7) |
problem.steps.add_step() |
num_cases(20) |
terminal('x_n', 150) |
terminal('y_n', 0) |
problem.steps.add_step() |
num_cases(15) |
terminal('theta', 5) |
problem.steps.add_step() |
num_cases(21) |
terminal('theta', 10*pi/180) |
Beluga.run(problem, display_level=logging.DEBUG) |
click.group() |
cli() |
cli.command() |
click.option("-y", "--year", default=2020, type=int) |
click.option("-m", "--month", default=5, type=int) |
click.option("-d", "--day", default=30, type=int) |
train(year, month, day) |
train_model(year, month, day) |
click.echo(result) |
cli.command() |
click.option("-y", "--year", default=2020, type=int) |
click.option("-m", "--month", default=5, type=int) |
click.option("-d", "--day", default=30, type=int) |
prod(year, month, day) |
AirBnBDataset(year=year, month=month, day=day) |
build_model() |
model.train_estimator(dataset) |
model.save_estimator(prod=True) |
cli() |
symbols('x y z') |
Symbol('r', real=True) |
Symbol('k', integer=True) |
Symbol('p', positive=True) |
Symbol('n', negative=True) |
Symbol('p', nonpositive=True) |
Symbol('n', nonnegative=True) |
Symbol('nz', nonzero=True) |
Symbol('ep', extended_positive=True) |
Symbol('en', extended_negative=True) |
Symbol('ep', extended_nonpositive=True) |
Symbol('en', extended_nonnegative=True) |
Symbol('enz', extended_nonzero=True) |
Symbol('a', algebraic=True) |
Symbol('na', nonzero=True, algebraic=True) |
test_sin() |
symbols('x y') |
FiniteSet(1) |
sin(nan) |
sin(zoo) |
sin(oo) |
AccumBounds(-1, 1) |
sin(oo) |
sin(oo) |
AccumBounds(-2, 2) |
sin(oo*I) |
sin(-oo*I) |
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