## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----setup--------------------------------------------------------------------
library(butcher)

## ----eval = FALSE-------------------------------------------------------------
# > new_model_butcher(model_class = "blob", package_name = "blobber")

## ----eval = FALSE-------------------------------------------------------------
# ✔ Setting active project to 'path_to_butcher_package'
# ✔ Adding 'blobber' to Suggests field in DESCRIPTION
# ● Use `requireNamespace("blobber", quietly = TRUE)` to test if package is installed
# ● Then directly refer to functons like `blobber::fun()` (replacing `fun()`).
# 
# ℹ Writing skeleton files
# ✔ Writing 'R/blob.R'
# ✔ Writing 'tests/testthat/test-blob.R'
# ● Modify 'R/blob.R'
# ● Modify 'tests/testthat/test-blob.R'

## ----eval = FALSE-------------------------------------------------------------
# > weigh(fitted_blob_object)
# # A tibble: 25 x 2
#    object            size
#    <chr>            <dbl>
#  1 terms         4.01
#  2 qr.qr         0.00666
#  3 residuals     0.00286
#  4 fitted.values 0.00286
#  5 effects       0.0014
#  6 coefficients  0.00109
#  7 call          0.000728
#  8 model.mpg     0.000304
#  9 model.cyl     0.000304
# 10 model.disp    0.000304
# # … with 15 more rows

## ----eval = FALSE-------------------------------------------------------------
# #' Axing a blob.
# #'
# #' blob model objects are created from the blobber package. They are
# #' generally leveraged for classification ... insert anything relevant
# #' ... This is where all the blob specific documentation lies.
# #'
# #' @param x Model object.
# #' @param verbose Print information each time an axe method is executed
# #'  that notes how much memory is released and what functions are
# #'  disabled. Default is \code{TRUE}.
# #' @param ... Any additional arguments related to axing.
# #'
# #' @return Axed model object.
# #'
# #' @name axe-blob
# NULL
# 
# #' Remove the call.
# #'
# #' @rdname axe-blob
# #' @export
# axe_call.blob <- function(x, verbose = TRUE, ...) {
#   old <- x
#   x <- exchange(x, "call", call("dummy_call"))
#   if (verbose) {
#     assess_object(
#       old,
#       x,
#       disabled = c("print", "summary")
#     )
#   }
#   add_butcher_class(x)
# }

