tests/testthat/_snaps/get_test_data.md

In cmu-delphi/epipredict: Basic epidemiology forecasting methods

expect insufficient training data error

Code
  get_test_data(recipe = r, x = covid_case_death_rates)
Condition
  Error in `get_test_data()`:
  ! You supplied insufficient recent data for this recipe.
  ! You need at least 367 days of data,
  ! but `x` contains only 365.

expect error that geo_value or time_value does not exist

Code
  get_test_data(recipe = r, x = wrong_epi_df)
Condition
  Error in `get_test_data()`:
  ! `x` must be an `epi_df`.

NA fill behaves as desired

Code
  get_test_data(r, df, "A")
Condition
  Error in `get_test_data()`:
  ! `fill_locf` must be of type <logical>.

Code
  get_test_data(r, df, TRUE, -3)
Condition
  Error in `get_test_data()`:
  ! `n_recent` must be a positive integer.

Code
  get_test_data(r, df2, TRUE)
Condition
  Error in `if (recipes::is_trained(recipe)) ...`:
  ! argument is of length zero

forecast date behaves

Code
  get_test_data(r, df, TRUE, forecast_date = 9)
Condition
  Error in `get_test_data()`:
  ! `forecast_date` must be the same class as `x$time_value`.

Code
  get_test_data(r, df, TRUE, forecast_date = 9L)
Condition
  Error in `get_test_data()`:
  ! `forecast_date` must be no earlier than `max(x$time_value)`

Code
  get_test_data(r, df, forecast_date = 9L)
Condition
  Error in `get_test_data()`:
  ! `forecast_date` must be no earlier than `max(x$time_value)`

cmu-delphi/epipredict documentation built on March 5, 2025, 12:17 p.m.