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 * // Copyright (c) 2024 ShanMukha Innovations Pvt. Ltd. All rights reserved.
 * // Notice: All information contained herein is, and remains
 * // the property of ShanMukha Innovations Pvt. Ltd. and its suppliers,
 * // if any. The intellectual and technical concepts contained
 * // herein are proprietary to ShanMukha Innovations Pvt. Ltd.
 * // and its suppliers and may be covered by Indian and Foreign Patents,
 * // patents in process, and are protected by trade secret or copyright law.
 * // Dissemination of this information or reproduction of this material
 * // is strictly forbidden unless prior written permission is obtained
 * // from ShanMukha Innovations Pvt. Ltd.
 */

package com.example.hpostesting

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]))
//        }
//
//    }
//
////    @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])
//        }
//    }


}