Format

Author: YingboMa

src/Blocks/analysis_points.jl

@@ -258,7 +258,7 @@ end
 const SymOrVec = Union{Symbol, Vector{Symbol}}
 
 function get_sensitivity_function(sys, ap_name::SymOrVec; loop_openings = nothing,
-    kwargs...)
+        kwargs...)
     find = namespaced_ap_match(ap_name, loop_openings)
     t = get_iv(sys)
     aps = []
@@ -287,7 +287,7 @@ function get_sensitivity_function(sys, ap_name::SymOrVec; loop_openings = nothin
 end
 
 function get_comp_sensitivity_function(sys, ap_name::SymOrVec; loop_openings = nothing,
-    kwargs...)
+        kwargs...)
     find = namespaced_ap_match(ap_name, loop_openings)
     t = get_iv(sys)
     aps = []
@@ -316,7 +316,7 @@ function get_comp_sensitivity_function(sys, ap_name::SymOrVec; loop_openings = n
 end
 
 function get_looptransfer_function(sys, ap_name::SymOrVec; loop_openings = nothing,
-    kwargs...)
+        kwargs...)
     find = namespaced_ap_match(ap_name, loop_openings)
     t = get_iv(sys)
     aps = []
@@ -383,9 +383,9 @@ function open_loop(sys, ap_name::Symbol; ground_input = false, kwargs...)
 end
 
 function ModelingToolkit.linearization_function(sys::ModelingToolkit.AbstractSystem,
-    input_name::SymOrVec, output_name;
-    loop_openings = nothing,
-    kwargs...)
+        input_name::SymOrVec, output_name;
+        loop_openings = nothing,
+        kwargs...)
     t = get_iv(sys)
     @variables u(t)=0 [input = true]
     names = [input_name;]
@@ -447,19 +447,19 @@ for f in [:get_sensitivity, :get_comp_sensitivity, :get_looptransfer, :open_loop
 end
 
 function ModelingToolkit.linearize(sys, input::AnalysisPoint, output::AnalysisPoint;
-    kwargs...)
+        kwargs...)
     ModelingToolkit.linearize(sys, nameof(input), nameof(output); kwargs...)
 end
 
 # Methods above are implemented in terms of linearization_function, the method below creates wrappers for linearize
 for f in [:get_sensitivity, :get_comp_sensitivity, :get_looptransfer]
     @eval function $f(sys,
-        ap,
-        args...;
-        loop_openings = nothing,
-        op = Dict(),
-        p = DiffEqBase.NullParameters(),
-        kwargs...)
+            ap,
+            args...;
+            loop_openings = nothing,
+            op = Dict(),
+            p = DiffEqBase.NullParameters(),
+            kwargs...)
         lin_fun, ssys = $(Symbol(string(f) * "_function"))(sys, ap, args...; op, p,
             loop_openings,
             kwargs...)
@@ -475,7 +475,7 @@ Linearize a system between two analysis points. To get a loop-transfer function,
 The output is allowed to be either an analysis-point name, or a vector of symbolic variables like the standard interface to `linearize`. The input must be an analysis-point name.
 """
 function ModelingToolkit.linearize(sys, input_name::SymOrVec, output_name;
-    loop_openings = nothing, kwargs...)
+        loop_openings = nothing, kwargs...)
     lin_fun, ssys = linearization_function(sys, input_name, output_name; loop_openings,
         kwargs...)
     ModelingToolkit.linearize(ssys, lin_fun; kwargs...), ssys

src/Blocks/continuous.jl

@@ -245,7 +245,7 @@ Text-book version of a PID-controller without actuator saturation and anti-windu
 See also [`LimPID`](@ref)
 """
 @component function PID(; name, k = 1, Ti = false, Td = false, Nd = 10, int__x = 0,
-    der__x = 0)
+        der__x = 0)
     with_I = !isequal(Ti, false)
     with_D = !isequal(Td, false)
     @named err_input = RealInput() # control error
@@ -386,13 +386,13 @@ where the transfer function for the derivative includes additional filtering, se
   - `ctr_output`
 """
 @component function LimPID(; name, k = 1, Ti = false, Td = false, wp = 1, wd = 1,
-    Ni = Ti == 0 ? Inf : √(max(Td / Ti, 1e-6)),
-    Nd = 10,
-    u_max = Inf,
-    u_min = u_max > 0 ? -u_max : -Inf,
-    gains = false,
-    int__x = 0.0,
-    der__x = 0.0)
+        Ni = Ti == 0 ? Inf : √(max(Td / Ti, 1e-6)),
+        Nd = 10,
+        u_max = Inf,
+        u_min = u_max > 0 ? -u_max : -Inf,
+        gains = false,
+        int__x = 0.0,
+        der__x = 0.0)
     with_I = !isequal(Ti, false)
     with_D = !isequal(Td, false)
     with_AWM = Ni != Inf
@@ -522,7 +522,7 @@ y &= h(x, u)
 linearized around the operating point `x₀, u₀`, we have `y0, u0 = h(x₀, u₀), u₀`.
 """
 @component function StateSpace(; A, B, C, D = nothing, x = zeros(size(A, 1)), name,
-    u0 = zeros(size(B, 2)), y0 = zeros(size(C, 1)))
+        u0 = zeros(size(B, 2)), y0 = zeros(size(C, 1)))
     nx, nu, ny = size(A, 1), size(B, 2), size(C, 1)
     size(A, 2) == nx || error("`A` has to be a square matrix.")
     size(B, 1) == nx || error("`B` has to be of dimension ($nx x $nu).")

src/Blocks/sources.jl

@@ -130,12 +130,12 @@ Generate sine signal.
   - `output`
 """
 @component function Sine(; name,
-    frequency,
-    amplitude = 1,
-    phase = 0,
-    offset = 0,
-    start_time = 0,
-    smooth = false)
+        frequency,
+        amplitude = 1,
+        phase = 0,
+        offset = 0,
+        start_time = 0,
+        smooth = false)
     @named output = RealOutput()
     pars = @parameters offset=offset start_time=start_time amplitude=amplitude frequency=frequency phase=phase
     equation = if smooth == false
@@ -173,12 +173,12 @@ Cosine signal.
 """
 
 @component function Cosine(; name,
-    frequency,
-    amplitude = 1,
-    phase = 0,
-    offset = 0,
-    start_time = 0,
-    smooth = false)
+        frequency,
+        amplitude = 1,
+        phase = 0,
+        offset = 0,
+        start_time = 0,
+        smooth = false)
     @named output = RealOutput()
     pars = @parameters offset=offset start_time=start_time amplitude=amplitude frequency=frequency phase=phase
     equation = if smooth == false
@@ -238,11 +238,11 @@ Generate ramp signal.
   - `output`
 """
 @component function Ramp(; name,
-    height = 1,
-    duration = 1,
-    offset = 0,
-    start_time = 0,
-    smooth = false)
+        height = 1,
+        duration = 1,
+        offset = 0,
+        start_time = 0,
+        smooth = false)
     @named output = RealOutput()
     pars = @parameters offset=offset start_time=start_time height=height duration=duration
     equation = if smooth == false
@@ -280,7 +280,7 @@ Generate smooth square signal.
   - `output`
 """
 @component function Square(; name, frequency = 1.0, amplitude = 1.0,
-    offset = 0.0, start_time = 0.0, smooth = false)
+        offset = 0.0, start_time = 0.0, smooth = false)
     @named output = RealOutput()
     pars = @parameters begin
         frequency = frequency
@@ -322,7 +322,7 @@ Generate step signal.
   - `output`
 """
 @component function Step(; name, height = 1, offset = 0, start_time = 0, duration = Inf,
-    smooth = 1e-5)
+        smooth = 1e-5)
     @named output = RealOutput()
     duration_numeric = duration
     pars = @parameters offset=offset start_time=start_time height=height duration=duration
@@ -366,13 +366,13 @@ Exponentially damped sine signal.
   - `output`
 """
 @component function ExpSine(; name,
-    frequency,
-    amplitude = 1,
-    damping = 0.1,
-    phase = 0,
-    offset = 0,
-    start_time = 0,
-    smooth = false)
+        frequency,
+        amplitude = 1,
+        damping = 0.1,
+        phase = 0,
+        offset = 0,
+        start_time = 0,
+        smooth = false)
     @named output = RealOutput()
     pars = @parameters offset=offset start_time=start_time amplitude=amplitude frequency=frequency phase=phase damping=damping
 
@@ -413,7 +413,7 @@ Generate smooth triangular signal for frequencies less than or equal to 25 Hz
   - `output`
 """
 @component function Triangular(; name, amplitude = 1.0, frequency = 1.0,
-    offset = 0.0, start_time = 0.0, smooth = false)
+        offset = 0.0, start_time = 0.0, smooth = false)
     @named output = RealOutput()
     pars = @parameters begin
         amplitude = amplitude
@@ -559,9 +559,9 @@ function first_order_backwards_difference(t, buffer, Δt, circular_buffer)
 end
 
 function get_sampled_data(t,
-    buffer::Vector{T},
-    dt::T,
-    circular_buffer = true) where {T <: Real}
+        buffer::Vector{T},
+        dt::T,
+        circular_buffer = true) where {T <: Real}
     if t < 0
         t = zero(t)
     end
@@ -623,11 +623,11 @@ function Symbolics.derivative(::typeof(get_sampled_data), args::NTuple{4, Any},
     first_order_backwards_difference(t, buffer, sample_time, circular_buffer)
 end
 function ChainRulesCore.frule((_, ẋ, _),
-    ::typeof(get_sampled_data),
-    t,
-    buffer,
-    sample_time,
-    circular_buffer)
+        ::typeof(get_sampled_data),
+        t,
+        buffer,
+        sample_time,
+        circular_buffer)
     first_order_backwards_difference(t, buffer, sample_time, circular_buffer) * ẋ
 end
 
@@ -651,10 +651,10 @@ data input component.
   - `output`
 """
 @component function SampledData(::Val{SampledDataType.vector_based};
-    name,
-    buffer,
-    sample_time,
-    circular_buffer = true)
+        name,
+        buffer,
+        sample_time,
+        circular_buffer = true)
     pars = @parameters begin
         buffer = buffer #::Vector{Real}
         sample_time = sample_time #::Real
@@ -717,9 +717,9 @@ function SampledData(sample_time::T, circular_buffer = true; name) where {T <: R
         circular_buffer)
 end
 function SampledData(buffer::Vector{<:Real},
-    sample_time::Real,
-    circular_buffer = true;
-    name)
+        sample_time::Real,
+        circular_buffer = true;
+        name)
     SampledData(SampledDataType.vector_based; name, buffer, sample_time, circular_buffer)
 end
 function SampledData(; name, buffer, sample_time, circular_buffer)

src/Blocks/utils.jl

@@ -96,7 +96,7 @@ Base class for a multiple input multiple output (MIMO) continuous system block.
   - `y_start`: Initial value for the output
 """
 @component function MIMO(; name, nin = 1, nout = 1, u_start = zeros(nin),
-    y_start = zeros(nout))
+        y_start = zeros(nout))
     @named input = RealInput(nin = nin, u_start = u_start)
     @named output = RealOutput(nout = nout, u_start = y_start)
     @variables(u(t)[1:nin]=u_start, [description = "Input of MIMO system $name"],

src/Electrical/Digital/logic_vectors.jl

@@ -24,7 +24,7 @@ axes(l::LogicVector) = axes(l.logic)
 
 getindex(s::LogicVector, i::Int) = getindex(s.logic, i)
 function Base.getindex(s::LogicVector, i1::Int, i2::Int,
-    I::Int...)
+        I::Int...)
     getindex(s.logic, i1, i2, I...)
 end
 

src/Electrical/Digital/tables.jl

@@ -17,7 +17,7 @@ function Base.getindex(s::LogicTable, i1::Logic, i2::Logic)
     getindex(s.logic, get_logic_level(i1), get_logic_level(i2))
 end
 function Base.getindex(s::LogicTable, i1::Logic, i2::Logic,
-    I::Logic...)
+        I::Logic...)
     getindex(s.logic, get_logic_level(i1), get_logic_level(i2), get_logic_level(I...)...)
 end