smiuser/hpos
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases 4 Wiki Activity

add two test

Browse Source
This commit is contained in:
Pritimay Sarkar
2023-11-17 14:48:53 +05:30
parent 0a2f1ba2fd
commit 7f2cafeef4
9 changed files with 280 additions and 93 deletions
Download Patch File Download Diff File Expand all files Collapse all files

166
app/src/test/java/com/example/hpostesting/TestRightViewModelTest.kt
View File

@@ -11,91 +11,91 @@ import java.math.RoundingMode
import java.text.DecimalFormat
class TestRightViewModelTest {
private val viewModel = TestRightViewModel()
private val data = InputData()
@Test
fun test_mapDeviceConstants() {
viewModel.mapDeviceConstants(data.inputRead)
assertEquals("0", DataHolder.deviceConstant!!.a)
assertEquals("1.69989422e-06", DataHolder.deviceConstant!!.b)
assertEquals("1.60642711e-01", DataHolder.deviceConstant!!.c)
assertEquals("3.85754470e+02", DataHolder.deviceConstant!!.d)
}
@Test
fun test_mapPixelNumberToWavelength() {
viewModel.mapDeviceConstants(data.inputRead)
viewModel.mapPixelNumberToWavelength()
val outputList = TestDataGenerator().getOutputMapPixelNumberToWavelength()
assertEquals(Constants.TEST_RIGHT_TOTAL_PIXEL, DataHolder.wavelengthToPixelArray.size)
assertEquals(Constants.TEST_RIGHT_TOTAL_PIXEL, outputList.size)
val df = DecimalFormat("#.###")
df.roundingMode = RoundingMode.FLOOR
for (i in 0 until Constants.TEST_RIGHT_TOTAL_PIXEL){
assertEquals(df.format(outputList[i]), df.format(DataHolder.wavelengthToPixelArray[i]))
}
}
// private val viewModel = TestRightViewModel()
// private val data = InputData()
//
// @Test
// fun test_mapIntensityValues() {
// val inputReference = TestDataGenerator().getInputReferenceMapIntensityValues()
// val inputSample = TestDataGenerator().getInputSampleMapIntensityValues()
//
// viewModel.mapIntensityValues(inputReference, true)
// viewModel.mapIntensityValues(inputSample, false)
//
// val outputReference = TestDataGenerator().getOutputReferenceMapIntensityValues()
// val outputSample = TestDataGenerator().getOutputSampleMapIntensityValues()
//
// assertEquals(outputReference, DataHolder.intensityReferenceArray)
// assertEquals(outputSample, viewModel.intensitySampleArray)
// fun test_mapDeviceConstants() {
// viewModel.mapDeviceConstants(data.inputRead)
// assertEquals("0", DataHolder.deviceConstant!!.a)
// assertEquals("1.69989422e-06", DataHolder.deviceConstant!!.b)
// assertEquals("1.60642711e-01", DataHolder.deviceConstant!!.c)
// assertEquals("3.85754470e+02", DataHolder.deviceConstant!!.d)
// }
//
// @Test
// fun test_mapPixelNumberToWavelength() {
// viewModel.mapDeviceConstants(data.inputRead)
// viewModel.mapPixelNumberToWavelength()
//
// val outputList = TestDataGenerator().getOutputMapPixelNumberToWavelength()
//
// assertEquals(Constants.TEST_RIGHT_TOTAL_PIXEL, DataHolder.wavelengthToPixelArray.size)
// assertEquals(Constants.TEST_RIGHT_TOTAL_PIXEL, outputList.size)
//
// val df = DecimalFormat("#.###")
// df.roundingMode = RoundingMode.FLOOR
//
// for (i in 0 until Constants.TEST_RIGHT_TOTAL_PIXEL){
// assertEquals(df.format(outputList[i]), df.format(DataHolder.wavelengthToPixelArray[i]))
// }
//
// }
//
//// @Test
//// fun test_mapIntensityValues() {
//// val inputReference = TestDataGenerator().getInputReferenceMapIntensityValues()
//// val inputSample = TestDataGenerator().getInputSampleMapIntensityValues()
////
//// viewModel.mapIntensityValues(inputReference, true)
//// viewModel.mapIntensityValues(inputSample, false)
////
//// val outputReference = TestDataGenerator().getOutputReferenceMapIntensityValues()
//// val outputSample = TestDataGenerator().getOutputSampleMapIntensityValues()
////
//// assertEquals(outputReference, DataHolder.intensityReferenceArray)
//// assertEquals(outputSample, viewModel.intensitySampleArray)
//// }
//
// @Test
// fun test_mapWavelengthToAbsorbance() {
//
// viewModel.mapDeviceConstants(data.inputRead)
// viewModel.mapPixelNumberToWavelength()
// viewModel.mapIntensityValues(TestDataGenerator().getInputReferenceMapIntensityValues(), true)
// viewModel.mapIntensityValues(TestDataGenerator().getInputSampleMapIntensityValues(), false)
// viewModel.patientDetails = PatientData("Surya", 2, "Male", TestRightResultType.UNDEFINED)
// viewModel.mapWavelengthToAbsorbance()
//
// val wavelengthList = TestDataGenerator().getOutputMapPixelNumberToWavelength()
// val absorbanceList = TestDataGenerator().getOutputMapWavelengthToAbsorbance()
//
// val df = DecimalFormat("#.###")
// df.roundingMode = RoundingMode.FLOOR
//
// assertEquals(Constants.TEST_RIGHT_TOTAL_PIXEL, viewModel.wavelengthToAbsorbance.size)
// for (i in 0 until Constants.TEST_RIGHT_TOTAL_PIXEL){
// assertEquals(df.format(wavelengthList[i]), df.format(viewModel.wavelengthToAbsorbance[i][0]))
// assertEquals(df.format(absorbanceList[i]), df.format(viewModel.wavelengthToAbsorbance[i][1]))
// }
// }
//
//
// @Test
// fun testRightViewModel_calculateDataForCSV() {
//
// viewModel.mapDeviceConstants(data.inputRead)
// viewModel.mapPixelNumberToWavelength()
// viewModel.mapIntensityValues(data.printForReference, true)
// viewModel.mapIntensityValues(data.printForSample, false)
//// viewModel.patientDetails = PatientData("Surya", 2, "Male", null)
//// viewModel.calculateResults()
// viewModel.mapWavelengthToAbsorbance()
//
// for (each in viewModel.wavelengthToAbsorbance){
// println(each[0].toString() + " -> " + each[1])
// }
// }
@Test
fun test_mapWavelengthToAbsorbance() {
viewModel.mapDeviceConstants(data.inputRead)
viewModel.mapPixelNumberToWavelength()
viewModel.mapIntensityValues(TestDataGenerator().getInputReferenceMapIntensityValues(), true)
viewModel.mapIntensityValues(TestDataGenerator().getInputSampleMapIntensityValues(), false)
viewModel.patientDetails = PatientData("Surya", 2, "Male", TestRightResultType.UNDEFINED)
viewModel.mapWavelengthToAbsorbance()
val wavelengthList = TestDataGenerator().getOutputMapPixelNumberToWavelength()
val absorbanceList = TestDataGenerator().getOutputMapWavelengthToAbsorbance()
val df = DecimalFormat("#.###")
df.roundingMode = RoundingMode.FLOOR
assertEquals(Constants.TEST_RIGHT_TOTAL_PIXEL, viewModel.wavelengthToAbsorbance.size)
for (i in 0 until Constants.TEST_RIGHT_TOTAL_PIXEL){
assertEquals(df.format(wavelengthList[i]), df.format(viewModel.wavelengthToAbsorbance[i][0]))
assertEquals(df.format(absorbanceList[i]), df.format(viewModel.wavelengthToAbsorbance[i][1]))
}
}
@Test
fun testRightViewModel_calculateDataForCSV() {
viewModel.mapDeviceConstants(data.inputRead)
viewModel.mapPixelNumberToWavelength()
viewModel.mapIntensityValues(data.printForReference, true)
viewModel.mapIntensityValues(data.printForSample, false)
// viewModel.patientDetails = PatientData("Surya", 2, "Male", null)
// viewModel.calculateResults()
viewModel.mapWavelengthToAbsorbance()
for (each in viewModel.wavelengthToAbsorbance){
println(each[0].toString() + " -> " + each[1])
}
}
}