test_that("Generate Placebos Generate Appropriate Output", {
	skip_on_cran()
	
	## First prepare the required objects
	library(Synth)
	# Load simulated data from Synth
	data(synth.data)

	# Execute dataprep to produce the necessary matrices for synth
	dataprep.out<-
	  dataprep(
	    foo = synth.data,
	    predictors = c("X1", "X2", "X3"),
	    predictors.op = "mean",
	    dependent = "Y",
	    unit.variable = "unit.num",
	    time.variable = "year",
	    special.predictors = list(
	      list("Y", 1991, "mean"),
	      list("Y", 1985, "mean"),
	      list("Y", 1980, "mean")
	    ),
	    treatment.identifier = 7,
	    controls.identifier = c(29, 2, 13, 17, 32, 38),
	    time.predictors.prior = c(1984:1989),
	    time.optimize.ssr = c(1984:1990),
	    unit.names.variable = "name",
	    time.plot = 1984:1996
	)

	# run the synth command to create the synthetic control
	synth.out <- synth(dataprep.out)

	## run the generate.placebos command to reassign treatment status
	## to each unit listed as control, one at a time, and generate their
	## synthetic versions.
	tdf <- generate.placebos(dataprep.out,synth.out)
	
	
  expect_true(is_tdf(tdf))
})

test_that("data.prep object is passed", {
	expect_error(generate.placebos(dataprep.out = mtcars))
})


test_that("data.prep object is passed", {
	library(Synth)
	# Load simulated data from Synth
	data(synth.data)
	
	# Execute dataprep to produce the necessary matrices for synth
	dataprep.out<-
		dataprep(
			foo = synth.data,
			predictors = c("X1", "X2", "X3"),
			predictors.op = "mean",
			dependent = "Y",
			unit.variable = "unit.num",
			time.variable = "year",
			special.predictors = list(
				list("Y", 1991, "mean"),
				list("Y", 1985, "mean"),
				list("Y", 1980, "mean")
			),
			treatment.identifier = 7,
			controls.identifier = c(29, 2, 13, 17, 32, 38),
			time.predictors.prior = c(1984:1989),
			time.optimize.ssr = c(1984:1990),
			unit.names.variable = "name",
			time.plot = 1984:1996
		)
	expect_error(generate.placebos(dataprep.out = dataprep.out, synth.out = mtcars))
})