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Commit223c38f

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Fix lint warnings in benchmarks/
1 parentf6799ab commit223c38f

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4 files changed

+1
-11
lines changed

4 files changed

+1
-11
lines changed

‎benchmarks/flatsys_bench.py

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@@ -7,7 +7,6 @@
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importnumpyasnp
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importmath
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importcontrolasct
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importcontrol.flatsysasflat
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importcontrol.optimalasopt
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‎benchmarks/optestim_bench.py

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@@ -6,7 +6,6 @@
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# used for optimization-based estimation.
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importnumpyasnp
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importmath
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importcontrolasct
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importcontrol.optimalasopt
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‎benchmarks/optimal_bench.py

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@@ -6,7 +6,6 @@
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# performance of the functions used for optimization-base control.
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importnumpyasnp
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importmath
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importcontrolasct
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importcontrol.flatsysasfs
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importcontrol.optimalasopt
@@ -21,7 +20,6 @@
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'RK23': ('RK23', {}),
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'RK23_sloppy': ('RK23', {'atol':1e-4,'rtol':1e-2}),
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'RK45': ('RK45', {}),
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'RK45': ('RK45', {}),
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'RK45_sloppy': ('RK45', {'atol':1e-4,'rtol':1e-2}),
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'LSODA': ('LSODA', {}),
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}
@@ -129,9 +127,6 @@ def time_optimal_lq_methods(integrator_name, minimizer_name, method):
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Tf=10
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timepts=np.linspace(0,Tf,20)
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# Create the basis function to use
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basis=get_basis('poly',12,Tf)
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res=opt.solve_ocp(
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sys,timepts,x0,traj_cost,constraints,terminal_cost=term_cost,
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solve_ivp_method=integrator[0],solve_ivp_kwargs=integrator[1],
@@ -223,8 +218,6 @@ def time_discrete_aircraft_mpc(minimizer_name):
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# compute the steady state values for a particular value of the input
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ud=np.array([0.8,-0.3])
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xd=np.linalg.inv(np.eye(5)-A) @B @ud
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yd=C @xd
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# provide constraints on the system signals
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constraints= [opt.input_range_constraint(sys, [-5,-6], [5,6])]
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@@ -234,7 +227,6 @@ def time_discrete_aircraft_mpc(minimizer_name):
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cost=opt.quadratic_cost(model,Q,R,x0=xd,u0=ud)
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# Set the time horizon and time points
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Tf=3
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timepts=np.arange(0,6)*0.2
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# Get the minimizer parameters to use

‎pyproject.toml

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@@ -60,7 +60,7 @@ filterwarnings = [
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[tool.ruff]
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# TODO: expand to cover all code
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include = ['control/**.py']
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include = ['control/**.py','benchmarks/*.py']
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[tool.ruff.lint]
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select = [

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