Nothing
library("banR")
library("dplyr")
context("Geocode tbl")
test_that(
"Geocode tbl works ", {
table_test <- tibble::tibble(
x = c("39 quai André Citroën", "64 Allée de Bercy", "20 avenue de Ségur"),
y = c("75015", "75012", "75007"),
z = rnorm(3)
)
expect_s3_class(
object = banR::geocode_tbl(tbl = table_test, adresse = x),
class = "tbl_df"
)
expect_s3_class(
object = banR::geocode_tbl(tbl = table_test, adresse = x, code_postal = y),
class = "tbl_df"
)
}
)
test_that("Input and output DFs have a similar number of rows", {
# test introduit suite à issue #3
table_test <- data.frame(
adresses = c("11 allée Sacoman", "11 allée Sacoman", "23 allée Sacoman"),
code_insee = "13216",
stringsAsFactors = FALSE
)
table_results <- banR::geocode_tbl(
tbl = table_test,
adresse = adresses,
code_insee = code_insee
)
expect_equal(nrow(table_test), nrow(table_results))
}
)
test_that(
desc = "Geocode_tbl works with a single-column input data.frame",
code = {
table_test <- data.frame(
city = c("Agen", "Ajaccio"),
stringsAsFactors = FALSE
)
expect_is(banR::geocode_tbl(tbl = table_test, adresse = city), "tbl_df")
}
)
test_that(
desc = "Reverse geocode tbl works ",
code = {
table_reverse <- tibble::tibble(
x = c(2.279092, 2.375933, 2.308332),
y = c(48.84683, 48.84255, 48.85032),
z = rnorm(3)
)
expect_s3_class(
object = reverse_geocode_tbl(
tbl = table_reverse, longitude = x, latitude = y),
class = "tbl_df"
)
}
)
test_that(
desc = "Code INSEE and Code postal return the same result",
code = {
table_check <- tibble::tribble(
~ num_voie, ~ cp, ~ ville, ~ codecommune,
"1 Rue Gaspard Monge", "22300", "Lannion", "22113",
"Square Edouard Herriot", "85400", "Lucon", "85128"
)
expect_true(
all_equal(
geocode_tbl(
tbl = table_check,
adresse = num_voie,
code_postal = cp
),
geocode_tbl(
tbl = table_check,
adresse = num_voie,
code_insee = codecommune
)
)
)
}
)
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