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
Source
dyad
# 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
dyad
# 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
julia
plt
Related
Examples
Experiments
Analyses
Tests