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

BlockComponents.InterpolationFileTest()

Parameters:

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

Variables

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

Behavior

Behavior of this component cannot be rendered because it includes path variables.

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 = InterpolationType.LinearInterpolation(), dataset = dataset) {
    "Dyad": {
      "placement": {
        "diagram": {"iconName": "default", "x1": 130, "y1": 110, "x2": 230, "y2": 210, "rot": 0}
      }
    }
  }
  "Dataset configuration specifying the CSV file path and variable mappings"
  structural parameter dataset::DyadData.DyadTimeseries = DyadTimeseries("dyad://BlockComponents/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": {
    "icons": {"default": "dyad://BlockComponents/Example.svg"},
    "tests": {"case1": {"stop": 0.1, "expect": {"signals": ["y"]}}},
    "doc": {"behavior": false}
  }
}
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 = InterpolationType.LinearInterpolation(), dataset = dataset) {
    "Dyad": {
      "placement": {
        "diagram": {"iconName": "default", "x1": 130, "y1": 110, "x2": 230, "y2": 210, "rot": 0}
      }
    }
  }
  "Dataset configuration specifying the CSV file path and variable mappings"
  structural parameter dataset::DyadData.DyadTimeseries = DyadTimeseries("dyad://BlockComponents/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": {
    "icons": {"default": "dyad://BlockComponents/Example.svg"},
    "tests": {"case1": {"stop": 0.1, "expect": {"signals": ["y"]}}},
    "doc": {"behavior": false}
  }
}
end

Test Cases

Test Case case1

plt

Related

• Examples

• Experiments

• Analyses

• Tests

  • Interpolation