# agridatasets - A Comprehensive Collection of Agricultural and Agronomic Datasets
# Version 0.1.1
# Copyright (C) 2026 Renzo Caceres Rossi
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <https://www.gnu.org/licenses/>.

# soybean_cultivars

library(testthat)

# Test 1: Check that the object is a data.frame and has 3 columns
test_that("soybean_cultivars is a data.frame with 3 columns", {
  expect_s3_class(soybean_cultivars, "data.frame")
  expect_equal(ncol(soybean_cultivars), 3)
  expect_equal(length(soybean_cultivars), 3)
})

# Test 2: Check the number of rows
test_that("soybean_cultivars has 40 rows", {
  expect_equal(nrow(soybean_cultivars), 40)
})

# Test 3: Validate column names
test_that("soybean_cultivars has correct column names", {
  expect_named(
    soybean_cultivars,
    c("cult", "bloc", "prod")
  )
})

# Test 4: Check data types
test_that("soybean_cultivars has correct data types", {
  expect_s3_class(soybean_cultivars$cult, "factor")
  expect_equal(nlevels(soybean_cultivars$cult), 10)
  expect_s3_class(soybean_cultivars$bloc, "factor")
  expect_equal(nlevels(soybean_cultivars$bloc), 4)
  expect_type(soybean_cultivars$prod, "double")
})