InterpolationFileTest

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

InterpolationFileTest()

Parameters:

Name	Description	Units	Default value
dataset	Dataset configuration specifying the CSV file path and variable mappings	–	DyadDataset("data/interp_square_data.csv", dependent_vars=["data"], independent_var="ts")

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 InterpolationFileTest
  # Interpolation object that performs the actual interpolation calculation
  interp = Interpolation(interpolation_type=LinearInterpolation, dataset=dataset)
  # Dataset configuration specifying the CSV file path and variable mappings
  structural parameter dataset::DyadDataset = DyadDataset("data/interp_square_data.csv", dependent_vars=["data"], independent_var="ts")
  # 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 InterpolationFileTest
  # Interpolation object that performs the actual interpolation calculation
  interp = Interpolation(interpolation_type=LinearInterpolation, dataset=dataset)
  # Dataset configuration specifying the CSV file path and variable mappings
  structural parameter dataset::DyadDataset = DyadDataset("data/interp_square_data.csv", dependent_vars=["data"], independent_var="ts")
  # 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

  • Interpolation