1 |
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Select the Python script in the Python block property. |
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2.1 |
Import “CMC_Stysch.s4p” in the Import Parameterized Data tab using the Import Touchstone button. Select 4 ports in the dialog field. Create a DataBaseAccess (DBA) block and a File Writer block. Connect the output from the DBA to the input from the File Writer.
- DBA block properties:
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Run the pipeline |
The Output window displays the details about the execution of the DBA and the File Writer block. One entry in the output describes that the query returned 1001 results. A text file was added to the navigation tree: Text Files/File Writer The first entry in the text file should be:
{
"S-Parameter": [
0.00664799160739456, 0.9994438164025367, 0.001587903081894653, 0.001607058983526277,
0.9999412687092339, 0.005526171247751565, 0.001579206287437996, 0.00157581398427815,
0.001649662785870558, 0.0016798080739750988, 0.002447593891518981, 0.9990050610098995,
0.001636659755401767, 0.001608587428865396, 1.001026028272019, 0.0033346144200217056
],
"Frequency": 9000.0
}
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2.2 |
Complete test 2.1. |
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{
"S-Parameter": [
-152.0392389462725, 0.5254550519420145, -86.97492714262474, 92.88932342473128,
0.1719524747673975, -128.16353522192419, 92.23249838369779, -86.45911549500751,
-90.13597479937043, 92.38877667597682, -145.86418201076899, 0.41514551480424968,
90.87826723417756, -88.89680605266958, 0.2217375858356425, -142.6517284701131
],
"Frequency":9000.0
}
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3.1 |
Complete test 2.1. |
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A text file has been added to the navigation tree: Text Files/File Writer_1. The output window shows that the query returned 4 results. The Phase_1 document contains 4 entries (4 S-parameter entries and 4 frequency entries).
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3.2 |
Complete test 3.1. |
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A new entity named “Magitude > 1” appears in the Dataset folder. |
3.3 |
Complete test 3.2. |
Replace the Store in Database block with a Display block. Remove the comperator (set to the empty comperator) property from the DBA block properties Select Dataset/Magnitude > 1 as the Measurment series at the DBA block properties. Run the pipeline.
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The Output window shows that the query returned 4 results. Each entry consists of a matrix named S-Parameter and a field named Frequency. To view the complete metadata, please click here.
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3.4 |
Complete test 3.3. |
Select the Magnitude > 1 entity and click the Info button in the Model tab. |
Output of metadata as in test 3.3. |
4.1 |
Create a new developer project and name it DataSource. In the Debug tab, click the Single Curve button. Create/open a data processing project. Create a DBA block, a Python block, and two Display blocks. Import the BlockExecution_AddOffset.py script.
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The data output from the Display block connected to the Python block should start with a magnitude value of 10. The data output from the Display block connected to the DBA block should start with a magnitude value of 0.
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4.2 |
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In the metadata, the unit Hz should be specified under Parameter/Frequency. |
4.3 |
Complete test 4.2. |
Replace the DisplayBlock with a Store in Database block. Rename the Store in Database into “InHerz”, set the property “Create plot” and set the “Plot name” property to “New dataset”. Run the pipeline.
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In the folder Datasets, a new entry named “InHerz” appears. In the plot folder a new plot, named “New dataset” appears. The plot has the parameter Frequency[Hz] on the x-axis.
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5 |
The DataSource project exists with the dataset Single Curve in it. The BlockExecution_AddOffset.py script is imported. |
Create one database access block (DBA), two store to database (STD) blocks and one python block. Connect one STD block directly with the DBA. Rename this store to database block to “Without Offset” Select the BlockExecution_AddOffset.py in the python block. Connect the DBA with the python block and the python block with the second STD block. Change the name of the STD block to “With offset”. Set the DBA block project property to DataSource and the quantity to Magnitude. Execute the pipeline.
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Pipeline executes successfully. In the folder Datasets, one new entry named “With offset” and one new entry named “Without offset” appear.
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5.1 |
Complete test 5. |
Open the BlockExecution_AddOffset.py Change the “line data[“Magnitude”] = int(data[“Magnitude”]) + offset” to “line data[“Magnitude”] = float(data[“Magnitude”]) + offset” Safe the changes of the textfile (strg+s) Execute the pipeline
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6 |
Import CMC_Stysch_simple.s4p (4 ports). Create a DataBaseAccess block and a Display block. Set up the DBA block (project name, quantity (S-parameter)). Connect the DBA output to Display.Input.
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Set the DBA property “Number of queries” to 1 In the property group “Query settings” select the name “Frequency” Test various comparators and values for parameter 1 (Results listed at Expectation).
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Comparator |
Value |
Expected Results |
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< |
9.5 |
6 Results (9; 9.1; 9.2; 9.3; 9.4; 1) |
<= |
9.5 |
7 Results (9; 9.1; 9.2; 9.3; 9.4; 9.5; 1) |
= |
9.5 |
1 Result (9.5) |
>= |
9.5 |
5 Results (9.5; 9.6; 9.7; 9.8; 9.9) |
> |
9.5 |
4 Results (9.6; 9.7; 9.8; 9.9) |
Any of |
9.5,9.6 |
2 Results (9.5; 9.6) |
Not any of |
9.5,9.6 |
9 Results (9; 9.1; 9.2; 9.3; 9.4; 9.7; 9.8; 9.9; 1) |
range |
[9.5, 9.7] |
3 Results (9.5; 9.6; 9.7) |
range |
[9.5, 9.7) |
2 Results (9.5; 9.6) |
range |
(9.5, 9.7] |
2 Results (9.6; 9.7) |
range |
(9.5, 9.7) |
1 Result (9.6) |
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