ScalarInterpolationFileTest

Tests time-based interpolation using data from a CSV file.

This component reads data from a specified CSV file and performs linear interpolation, using the current simulation time as the input. The interpolated value is made available through the output variable y. The component utilizes a dataset structure that identifies dependent and independent variables from the CSV file, allowing for flexible time-series data interpolation.

Usage

ScalarInterpolationFileTest()

Parameters:

Name	Description	Units	Default value
filepath	Dataset configuration specifying the CSV file path and variable mappings	–	"data/interp_square_data.csv"
independent_var		–	"ts"
dependent_vars		–	["data"]

Variables

Name	Description	Units
y	Output variable that holds the interpolated value	–

Behavior

$$\begin{array}{rl}\mathtt{interp}\mathtt{.}\mathtt{u}\left(t\right)& =t\\ \mathtt{interp}\mathtt{.}\mathtt{y}\left(t\right)& =y\left(t\right)\\ \mathtt{interp}\mathtt{.}\mathtt{y}\left(t\right)& =\mathtt{interp}\mathtt{.}\mathtt{interpolator}\left(\mathtt{interp}\mathtt{.}\mathtt{u}\left(t\right)\right)\end{array}$$

Source

# Tests time-based interpolation using data from a CSV file.
#
# This component reads data from a specified CSV file and performs linear interpolation, using the
# current simulation time as the input. The interpolated value is made available through the output
# variable `y`. The component utilizes a dataset structure that identifies dependent and independent
# variables from the CSV file, allowing for flexible time-series data interpolation.
test component ScalarInterpolationFileTest
  # Interpolation object that performs the actual interpolation calculation
  interp = ScalarInterpolation(interpolation_type="LinearInterpolation", filepath=filepath, independent_var=independent_var, dependent_vars=dependent_vars)
  # Dataset configuration specifying the CSV file path and variable mappings
  structural parameter filepath::String = "data/interp_square_data.csv"
  structural parameter independent_var::String = "ts"
  structural parameter dependent_vars::String[1] = ["data"]
  # Output variable that holds the interpolated value
  variable y::Real
relations
  interp.u = time
  interp.y = y
metadata {"Dyad": {"tests": {"case1": {"stop": 0.1, "expect": {"signals": ["y"]}}}}}
end

Flattened Source

# Tests time-based interpolation using data from a CSV file.
#
# This component reads data from a specified CSV file and performs linear interpolation, using the
# current simulation time as the input. The interpolated value is made available through the output
# variable `y`. The component utilizes a dataset structure that identifies dependent and independent
# variables from the CSV file, allowing for flexible time-series data interpolation.
test component ScalarInterpolationFileTest
  # Interpolation object that performs the actual interpolation calculation
  interp = ScalarInterpolation(interpolation_type="LinearInterpolation", filepath=filepath, independent_var=independent_var, dependent_vars=dependent_vars)
  # Dataset configuration specifying the CSV file path and variable mappings
  structural parameter filepath::String = "data/interp_square_data.csv"
  structural parameter independent_var::String = "ts"
  structural parameter dependent_vars::String[1] = ["data"]
  # Output variable that holds the interpolated value
  variable y::Real
relations
  interp.u = time
  interp.y = y
metadata {"Dyad": {"tests": {"case1": {"stop": 0.1, "expect": {"signals": ["y"]}}}}}
end

Test Cases

Test Case case1

plt

Related

• Examples

• Experiments

• Analyses

• Tests

  • ScalarInterpolation