#' Generate List of Exploration \code{search_term} Function Calls
#'
#' The task of determining the regexes used to feed a \code{term_count} object's
#' \code{term.list} requires careful exploration of term use in context. This
#' function generates a list of function calls for \code{search_term} with a
#' user predefined data set and term list.
#'
#' @param terms A vector of regex terms to explore (often populated from
#' \code{frequent_terms}.
#' @param data.name A character vector of a data set's name that will serve as
#' the search context.
#' @param copy2clip logical. If code{TRUE} uses \code{\link[clipr]{write_clip}}
#' to copy the output to the clipboard. This option is most useful when trying
#' to build a list regular expression model for easy pasting between testing
#' a regex and putting it into the model. This argument can be set globally by
#' setting \code{options(termco.copy2clip = TRUE)}.
#' @return Returns a string with the concatenated function calls. The print
#' method separates the concatenated string into new line function calls. If
#' \code{copy2clip = TRUE} the calls are easily pasted for use in exploration
#' of the terms in the text data set.
#' @export
#' @family probe functions
#' @examples
#' probe_list(c("thank", "\\bthe", "ee"), "sam_i_am")
#'
#' txt <- presidential_debates_2012[["dialogue"]]
#' terms <- frequent_terms(txt)[["term"]]
#' probe_list(terms, "txt")
#'
#' \dontrun{
#' probe_list(terms, "txt", copy2clip = TRUE)
#' }
probe_list <- function(terms, data.name, copy2clip = getOption("termco.copy2clip")){
terms <- stringi::stri_escape_unicode(terms)
m <- paste(paste0('search_term(', data.name, ', "', terms, "\")"), collapse = "\n")
if (isTRUE(copy2clip)) clipr::write_clip(m)
class(m) <- c("probe_list", class(m))
m
}
#' Prints a probe_list Object
#'
#' Prints a probe_list object
#'
#' @param x A probe_list object
#' @param \ldots ignored.
#' @method print probe_list
#' @export
print.probe_list <- function(x, ...){
cat(x, "\n")
}
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