chore: fix typos

Author: SebastianM-C

docs/src/tutorials/dc_motor_pi.md

@@ -77,7 +77,7 @@ so that it can be represented as a system of `ODEs` (ordinary differential equat
 
 ```@example dc_motor_pi
 sys = structural_simplify(model)
-prob = ODEProblem(sys, [sys.L1.i => 0.0,], (0, 6.0))
+prob = ODEProblem(sys, [sys.L1.i => 0.0], (0, 6.0))
 sol = solve(prob)
 
 p1 = plot(sol.t, sol[sys.inertia.w], ylabel = "Angular Vel. in rad/s",

docs/src/tutorials/input_component.md

@@ -12,7 +12,7 @@ This tutorial demonstrate each case and explain the pros and cons of each.
 ## `Interpolation` Block
 
 The `ModelingToolkitStandardLibrary.Blocks.Interpolation` component is easy to use and is performant.
-It is simlar to using callable paramterers, but it provides a block interface with `RealInput` and `RealOutput` connectors.
+It is similar to using callable parameters, but it provides a block interface with `RealInput` and `RealOutput` connectors.
 The `Interpolation` is compatible with interpolation types from `DataInterpolation`.
 
 ```@docs
@@ -150,7 +150,7 @@ plot(sol2)
 ```
 
 !!! note
-    Note that when changing the data, the length of the new data must be the same as the lenght of the original data.
+    Note that when changing the data, the length of the new data must be the same as the length of the original data.
 
 ## Custom Component with External Data
 

test/Blocks/sources.jl

@@ -554,7 +554,7 @@ end
     end
 
     @testset "BSplineInterpolation" begin
-        @named i = ParametrizedInterpolationBlock(
+        @named i = ParametrizedInterpolation(
             BSplineInterpolation, u, x, 3, :Uniform, :Uniform)
         eqs = [i.input.u ~ t, D(y) ~ i.output.u]