test_that("CWB_FixedSchedule() works as expected in example", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  tes <-
    CWB_FixedSchedule(
      Rain = Rain,
      ET0 = ET0,
      AWC = AWC,
      Drz = Drz,
      Kc = Kc,
      Irrig = Irrig,
      MAD = MAD,
      Scheduling = Scheduling,
      start.date = "2023-11-23"
    )
  expect_s3_class(tes, "data.frame")
  expect_length(tes, 14)
  expect_equal(nrow(tes), 129)
  expect_named(
    tes,
    c(
      "DaysSeason",
      "Rain",
      "Irrig",
      "ET0",
      "Kc",
      "WaterStressCoef_Ks",
      "ETc",
      "(P+Irrig)-ETc",
      "NonStandardCropEvap",
      "ET_Defict",
      "TAW",
      "SoilWaterDeficit",
      "d_MAD",
      "Scheduling"
    )
  )
  expect_equal(tes[1:3, "NonStandardCropEvap"],
               c(2.440372, 4.171917, 4.290477), tolerance = 0.01)
  expect_equal(tes[1:3, "ET_Defict"], c(0.000000000, 0.000000000, 0.000000000),
               tolerance = 0.01)
  expect_equal(tes[1:3, "TAW"], c(45.72, 45.72, 45.72), tolerance = 0.01)
  expect_equal(tes[1:3, "SoilWaterDeficit"], c(0.0000000, 3.9179166, 8.2083937),
               tolerance = 0.01)
  expect_equal(tes[1:3, "d_MAD"], c(13.716, 13.716, 13.716), tolerance = 0.01)
  expect_equal(tes[1:3, "Scheduling"], c("No", "No", "No"))
})

test_that("CWB_FixedSchedule() works as expected when initialD is provided",
          {
            Tavg <- DataForCWB[, 2]
            Tmax <- DataForCWB[, 3]
            Tmin <- DataForCWB[, 4]
            Rn <- DataForCWB[, 6]
            WS <- DataForCWB[, 7]
            RH <- DataForCWB[, 8]
            G <- DataForCWB[, 9]
            ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
            Rain <- DataForCWB[, 10]
            Drz <- DataForCWB[, 11]
            AWC <- DataForCWB[, 12]
            MAD <- DataForCWB[, 13]
            Kc <- DataForCWB[, 14]
            Irrig <- DataForCWB[, 15]
            Scheduling <- 5
            tes <-
              CWB_FixedSchedule(
                Rain = Rain,
                ET0 = ET0,
                AWC = AWC,
                Drz = Drz,
                Kc = Kc,
                Irrig = Irrig,
                MAD = MAD,
                Scheduling = Scheduling,
                InitialD = 0,
                start.date = "2023-11-23"
              )
            expect_s3_class(tes, "data.frame")
            expect_length(tes, 14)
            expect_equal(nrow(tes), 129)
            expect_named(
              tes,
              c(
                "DaysSeason",
                "Rain",
                "Irrig",
                "ET0",
                "Kc",
                "WaterStressCoef_Ks",
                "ETc",
                "(P+Irrig)-ETc",
                "NonStandardCropEvap",
                "ET_Defict",
                "TAW",
                "SoilWaterDeficit",
                "d_MAD",
                "Scheduling"
              )
            )
            expect_equal(tes[1:3, "NonStandardCropEvap"],
                         c(2.440372, 4.171917, 4.290477), tolerance = 0.01)
            expect_equal(tes[1:3, "ET_Defict"],
                         c(0.000000000, 0.000000000, 0.000000000),
                         tolerance = 0.01)
            expect_equal(tes[1:3, "TAW"], c(45.72, 45.72, 45.72),
                         tolerance = 0.01)
            expect_equal(tes[1:3, "SoilWaterDeficit"],
                         c(0.0000000, 3.9179166, 8.2083937), tolerance = 0.01)
            expect_equal(tes[1:3, "d_MAD"],
                         c(13.716, 13.716, 13.716), tolerance = 0.01)
            expect_equal(tes[1:3, "Scheduling"], c("No", "No", "No"))
          })

test_that("Wrong date format", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  start.date <- "date"
  expect_error(
    CWB_FixedSchedule(
      Rain = Rain,
      ET0 = ET0,
      AWC = AWC,
      Drz = Drz,
      Kc = Kc,
      Irrig = Irrig,
      MAD = MAD,
      Scheduling = Scheduling,
      start.date = start.date
    ),
    "`date` is not in a valid date format. Please enter a valid date format."
  )
})


test_that("CWB_FixedSchedule() works as expected When Kc is NULL", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  tes <-
    CWB_FixedSchedule(
      Rain = Rain,
      ET0 = ET0,
      AWC = AWC,
      Drz = Drz,
      Irri = Irrig,
      MAD = MAD,
      Scheduling = Scheduling,
      start.date = "2023-11-23"
    )
  expect_s3_class(tes, "data.frame")
  expect_length(tes, 14)
  expect_equal(nrow(tes), 129)
  expect_named(
    tes,
    c(
      "DaysSeason",
      "Rain",
      "Irrig",
      "ET0",
      "Kc",
      "WaterStressCoef_Ks",
      "ETc",
      "(P+Irrig)-ETc",
      "NonStandardCropEvap",
      "ET_Defict",
      "TAW",
      "SoilWaterDeficit",
      "d_MAD",
      "Scheduling"
    )
  )
  expect_equal(tes[1:3, "NonStandardCropEvap"], c(2.440372, 4.171917, 4.290477),
               tolerance = 0.01)
  expect_equal(tes[1:3, "ET_Defict"], c(0.000000000, 0.000000000, 0.000000000),
               tolerance = 0.01)
  expect_equal(tes[1:3, "TAW"], c(45.72, 45.72, 45.72), tolerance = 0.01)
  expect_equal(tes[1:3, "SoilWaterDeficit"], c(0.0000000, 3.9179166, 8.2083937),
               tolerance = 0.01)
  expect_equal(tes[1:3, "d_MAD"], c(13.716, 13.716, 13.716), tolerance = 0.01)
  expect_equal(tes[1:3, "Scheduling"], c("No", "No", "No"))
})

test_that("CWB_FixedSchedule() works as expected When Irrig is NULL", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  #Irrig <- DataForCWB[,15]
  Scheduling <- 5
  tes <-
    CWB_FixedSchedule(
      Rain = Rain,
      ET0 = ET0,
      AWC = AWC,
      Drz = Drz,
      Kc = Kc,
      MAD = MAD,
      Scheduling = Scheduling,
      start.date = "2023-11-23"
    )
  expect_s3_class(tes, "data.frame")
  expect_length(tes, 14)
  expect_equal(nrow(tes), 129)
  expect_named(
    tes,
    c(
      "DaysSeason",
      "Rain",
      "Irrig",
      "ET0",
      "Kc",
      "WaterStressCoef_Ks",
      "ETc",
      "(P+Irrig)-ETc",
      "NonStandardCropEvap",
      "ET_Defict",
      "TAW",
      "SoilWaterDeficit",
      "d_MAD",
      "Scheduling"
    )
  )
  expect_equal(tes[1:3, "NonStandardCropEvap"], c(2.440372, 4.171917, 4.290477),
               tolerance = 0.01)
  expect_equal(tes[1:3, "ET_Defict"], c(0.000000000, 0.000000000, 0.000000000),
               tolerance = 0.01)
  expect_equal(tes[1:3, "TAW"], c(45.72, 45.72, 45.72), tolerance = 0.01)
  expect_equal(tes[1:3, "SoilWaterDeficit"], c(0.0000000, 3.9179166, 8.2083937),
               tolerance = 0.01)
  expect_equal(tes[1:3, "d_MAD"], c(13.716, 13.716, 13.716), tolerance = 0.01)
  expect_equal(tes[1:3, "Scheduling"], c("No", "No", "No"))
})

test_that("CWB_FixedSchedule() works as expected When MAD is NULL", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  #MAD <- DataForCWB[,13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  tes <-
    CWB_FixedSchedule(
      Rain = Rain,
      ET0 = ET0,
      AWC = AWC,
      Drz = Drz,
      Kc = Kc,
      Irrig = Irrig,
      Scheduling = Scheduling,
      start.date = "2023-11-23"
    )
  expect_s3_class(tes, "data.frame")
  expect_length(tes, 14)
  expect_equal(nrow(tes), 129)
  expect_named(
    tes,
    c(
      "DaysSeason",
      "Rain",
      "Irrig",
      "ET0",
      "Kc",
      "WaterStressCoef_Ks",
      "ETc",
      "(P+Irrig)-ETc",
      "NonStandardCropEvap",
      "ET_Defict",
      "TAW",
      "SoilWaterDeficit",
      "d_MAD",
      "Scheduling"
    )
  )
  expect_equal(tes[1:3, "NonStandardCropEvap"], c(2.440372, 4.171917, 4.290477),
               tolerance = 0.01)
  expect_equal(tes[1:3, "ET_Defict"], c(0.000000000, 0.000000000, 0.000000000),
               tolerance = 0.01)
  expect_equal(tes[1:3, "TAW"], c(45.72, 45.72, 45.72), tolerance = 0.01)
  expect_equal(tes[1:3, "SoilWaterDeficit"], c(0.0000000, 3.9179166, 8.2083937),
               tolerance = 0.01)
  expect_equal(tes[1:3, "d_MAD"], c(13.716, 13.716, 13.716), tolerance = 0.01)
  expect_equal(tes[1:3, "Scheduling"], c("No", "No", "No"))
})

test_that("CWB_FixedSchedule() works as expected when G is NULL", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  expect_warning(ET0 <-
                   ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, Alt = 700),
                 "The first 3 G values were set to zero")
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  tes <-
    CWB_FixedSchedule(
      Rain = Rain,
      ET0 = ET0,
      AWC = AWC,
      Drz = Drz,
      MAD = MAD,
      Scheduling = Scheduling,
      Kc = Kc,
      Irrig = Irrig,
      start.date = "2023-11-23"
    )
  expect_s3_class(tes, "data.frame")
  expect_length(tes, 14)
  expect_equal(nrow(tes), 129)
  expect_named(
    tes,
    c(
      "DaysSeason",
      "Rain",
      "Irrig",
      "ET0",
      "Kc",
      "WaterStressCoef_Ks",
      "ETc",
      "(P+Irrig)-ETc",
      "NonStandardCropEvap",
      "ET_Defict",
      "TAW",
      "SoilWaterDeficit",
      "d_MAD",
      "Scheduling"
    )
  )
  expect_equal(tes[1:3, "NonStandardCropEvap"], c(2.293183, 4.104242, 4.333359),
               tolerance = 0.01)
  expect_equal(tes[1:3, "ET_Defict"], c(0.000000000, 0.000000000, 0.000000000),
               tolerance = 0.01)
  expect_equal(tes[1:3, "TAW"], c(45.72, 45.72, 45.72), tolerance = 0.01)
  expect_equal(tes[1:3, "SoilWaterDeficit"], c(0.0000000, 3.8502425, 8.1836018),
               tolerance = 0.01)
  expect_equal(tes[1:3, "d_MAD"], c(13.716, 13.716, 13.716), tolerance = 0.01)
  expect_equal(tes[1:3, "Scheduling"], c("No", "No", "No"))
})

test_that("CWB_FixedSchedule() works as expected when P<ET0 on first day",
          {
            Tavg <- DataForCWB[, 2]
            Tmax <- DataForCWB[, 3]
            Tmin <- DataForCWB[, 4]
            Rn <- DataForCWB[, 6]
            WS <- DataForCWB[, 7]
            RH <- DataForCWB[, 8]
            G <- DataForCWB[, 9]
            ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
            ET0 <- ET0[2:10]
            ET0 <- as.matrix(ET0)
            Rain <- DataForCWB[2:10, 10]
            Drz <- DataForCWB[2:10, 11]
            AWC <- DataForCWB[2:10, 12]
            MAD <- DataForCWB[2:10, 13]
            Kc <- DataForCWB[2:10, 14]
            Ks <- DataForCWB[2:10, 15]
            Irrig <- DataForCWB[2:10, 16]
            Scheduling <- 5
            tes1 <- CWB_FixedSchedule(
              Rain = Rain,
              ET0 = ET0,
              AWC = AWC,
              Drz = Drz,
              Kc = Kc,
              Irrig = Irrig,
              MAD = MAD,
              Scheduling = Scheduling,
              start.date = "2023-11-23"
            )
            expect_s3_class(tes1, "data.frame")
            expect_length(tes1, 14)
            expect_equal(nrow(tes1), 9)
            expect_named(
              tes1,
              c(
                "DaysSeason",
                "Rain",
                "Irrig",
                "ET0",
                "Kc",
                "WaterStressCoef_Ks",
                "ETc",
                "(P+Irrig)-ETc",
                "NonStandardCropEvap",
                "ET_Defict",
                "TAW",
                "SoilWaterDeficit",
                "d_MAD",
                "Scheduling"
              )
            )
            expect_equal(tes1[1:3, "NonStandardCropEvap"],
                         c(4.171917, 4.290477, 3.665459), tolerance = 0.01)
            expect_equal(tes1[1:3, "ET_Defict"],
                         c(0.0000000, 0.0000000, 0.0000000), tolerance = 0.01)
            expect_equal(tes1[1:3, "TAW"],
                         c(45.72, 45.72, 45.72), tolerance = 0.01)
            expect_equal(tes1[1:3, "SoilWaterDeficit"],
                         c(3.9179166, 8.2083937, 0.4438527), tolerance = 0.01)
            expect_equal(tes1[1:3, "d_MAD"],
                         c(13.716, 13.716, 13.716), tolerance = 0.01)
            expect_equal(tes1[1:3, "Scheduling"], c("No", "No", "No"))
          })

test_that("Physically impossible rain values", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- (-1 * DataForCWB[, 10])
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain,
        ET0,
        AWC,
        Drz,
        Kc,
        Ks,
        Irrig,
        Scheduling = Scheduling,
        start.date = "2023-11-23"
      ),
    "Physically impossible or missing rain values"
  )
})

test_that("Missing rain values", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Rain[1] <- NA
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain,
        ET0,
        AWC,
        Drz,
        Kc,
        Ks,
        Irrig,
        Scheduling = Scheduling,
        start.date = "2023-11-23"
      ),
    "Physically impossible or missing rain values"
  )
})

test_that("Wrong format rain", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- cbind(DataForCWB[, 10], DataForCWB[, 10])
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain,
        ET0,
        AWC,
        Drz,
        Kc,
        Ks,
        Irrig,
        MAD,
        Scheduling = Scheduling,
        start.date = "2023-11-23"
      ),
    "Physically impossible or missing rain values"
  )
})

test_that("Physically impossible Kc values", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  Kc[1] <- 40
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})

test_that("Missing Kc values", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  Kc[1] <- NA
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})


test_that("Negative Irrig values", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- rep(-0.8, 129)
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})

test_that("Missing Irrig values", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  Irrig[1] <- NA
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})

test_that("Physically impossible MAD values", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  MAD[1:4] <- 4
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})

test_that("Wrong MAD values. Single number", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- 4
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})

test_that("Physically impossible Drz values", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  Drz[1] <- (-4)
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})

test_that("Wrong Drz values. Character", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  Drz[1] <- "profunda"
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})

test_that("Physically impossible AWC values", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  AWC[1] <- 0
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})

test_that("Wrong AWC values. Single number", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  AWC <- 0.4
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})

test_that("Rain and ET0 different lengths", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  ET0 <- ET0[1:20]
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  AWC <- 0.4
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        start.date = "2023-11-23"
      ),
    "Inputs must be numerical variables with no missing value.
        Also check if the input are physically sound."
  )
})


test_that("Wrong InitialD larger than TAW", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        InitialD = 80,
        start.date = "2023-11-23"
      ),
    "InitialD must be a single positive number no larger than TAW"
  )
})

test_that("Wrong InitialD negative value", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        InitialD = -80,
        start.date = "2023-11-23"
      ),
    "InitialD must be a single positive number no larger than TAW"
  )
})

test_that("Wrong InitialD length", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        InitialD = c(80, 40),
        start.date = "2023-11-23"
      ),
    "InitialD must be a single positive number no larger than TAW"
  )
})

test_that("Wrong InitialD character", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        MAD = MAD,
        Scheduling = Scheduling,
        Kc = Kc,
        Irrig = Irrig,
        InitialD = c("Berger"),
        start.date = "2023-11-23"
      ),
    "InitialD must be a single positive number no larger than TAW"
  )
})

test_that("Wrong start.date", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 5
  expect_error(
    CWB_FixedSchedule(
      Rain = Rain,
      ET0 = ET0,
      AWC = AWC,
      Drz = Drz,
      MAD = MAD,
      Scheduling = Scheduling,
      Kc = Kc,
      Irrig = Irrig,
      start.date = "string"
    ),
    "`string` is not in a valid date format. Please enter a valid date format."
  )
})

test_that("Wrong Scheduling Character", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- cbind(DataForCWB[, 10], DataForCWB[, 10])
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- "five"
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain,
        ET0,
        AWC,
        Drz,
        Kc,
        Ks,
        Irrig,
        MAD,
        Scheduling = Scheduling,
        start.date = "2023-11-23"
      ),
    "Scheduling must be a single positive number"
  )
})

test_that("Wrong Scheduling Character", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- cbind(DataForCWB[, 10], DataForCWB[, 10])
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- c(5, 5)
  expect_error(
    tes <-
      CWB_FixedSchedule(
        Rain,
        ET0,
        AWC,
        Drz,
        Kc,
        Ks,
        Irrig,
        MAD,
        Scheduling = Scheduling,
        start.date = "2023-11-23"
      ),
    "Scheduling must be a single positive number"
  )
})

test_that("Wrong Scheduling Character", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- cbind(DataForCWB[, 10], DataForCWB[, 10])
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 0
  expect_error(
    CWB_FixedSchedule(
      Rain,
      ET0,
      AWC,
      Drz,
      Kc,
      Ks,
      Irrig,
      MAD,
      Scheduling = Scheduling,
      start.date = "2023-11-23"
    ),
    "Scheduling must be a single positive number"
  )
})

test_that("CWB_FixedSchedule() works when Scheduling . 20", {
  Tavg <- DataForCWB[, 2]
  Tmax <- DataForCWB[, 3]
  Tmin <- DataForCWB[, 4]
  Rn <- DataForCWB[, 6]
  WS <- DataForCWB[, 7]
  RH <- DataForCWB[, 8]
  G <- DataForCWB[, 9]
  ET0 <- ET0_PM(Tavg, Tmax, Tmin, Rn, RH, WS, G, Alt = 700)
  Rain <- DataForCWB[, 10]
  Drz <- DataForCWB[, 11]
  AWC <- DataForCWB[, 12]
  MAD <- DataForCWB[, 13]
  Kc <- DataForCWB[, 14]
  Irrig <- DataForCWB[, 15]
  Scheduling <- 21
  expect_message(
    tes <-
      CWB_FixedSchedule(
        Rain = Rain,
        ET0 = ET0,
        AWC = AWC,
        Drz = Drz,
        Kc = Kc,
        Irrig = Irrig,
        MAD = MAD,
        Scheduling = Scheduling,
        start.date = "2023-11-23"
      ),
    "Period between irrigations is longer than 20 days. Sure about it?"
  )
  expect_s3_class(tes, "data.frame")
  expect_length(tes, 14)
  expect_equal(nrow(tes), 129)
  expect_named(
    tes,
    c(
      "DaysSeason",
      "Rain",
      "Irrig",
      "ET0",
      "Kc",
      "WaterStressCoef_Ks",
      "ETc",
      "(P+Irrig)-ETc",
      "NonStandardCropEvap",
      "ET_Defict",
      "TAW",
      "SoilWaterDeficit",
      "d_MAD",
      "Scheduling"
    )
  )
  expect_equal(tes[1:3, "NonStandardCropEvap"], c(2.440372, 4.171917, 4.290477),
               tolerance = 0.01)
  expect_equal(tes[1:3, "ET_Defict"], c(0.000000000, 0.000000000, 0.000000000),
               tolerance = 0.01)
  expect_equal(tes[1:3, "TAW"], c(45.72, 45.72, 45.72), tolerance = 0.01)
  expect_equal(tes[1:3, "SoilWaterDeficit"], c(0.0000000, 3.9179166, 8.2083937),
               tolerance = 0.01)
  expect_equal(tes[1:3, "d_MAD"], c(13.716, 13.716, 13.716), tolerance = 0.01)
  expect_equal(tes[1:3, "Scheduling"], c("No", "No", "No"))
})