# File src/library/methods/R/makeBasicFunsList.R # Part of the R package, https://www.R-project.org # # Copyright (C) 1995-2016 The R Core Team # # 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. # # A copy of the GNU General Public License is available at # https://www.R-project.org/Licenses/ ## the executable code to complete the generics corresponding to primitives, ## and to define the group generics for these functions. ## uses the primitive list and the function .addBasicGeneric ## defined (earlier) in BasicFunsList.R utils::globalVariables(".addBasicGeneric") .makeBasicFuns <- function(where) { funs <- get(".BasicFunsList", envir=where) ## First, set up the existing functions in the list as valid generics. ## This will override anything except the S4 group generics. curNames <- names(funs) for(i in seq_along(funs)) { val <- funs[[i]] if (is.function(val)) funs <- .addBasicGeneric(funs, curNames[[i]], val, "") } ## Next, add the remaining primitive generics prims <- names(.GenericArgsEnv) new_prims <- setdiff(prims, names(funs)) for(nm in new_prims) { f <- .GenericArgsEnv[[nm]] body(f) <- substitute(standardGeneric(ff), list(ff=val)) funs <- .addBasicGeneric(funs, nm, f, "") } ## Then add all the primitives that are not already there. ff <- as.list(baseenv(), all.names=TRUE) prims <- ff[vapply(ff, is.primitive, logical(1L))] new_prims <- setdiff(names(prims), names(funs)) add <- rep(list(FALSE), length(new_prims)) names(add) <- new_prims funs <- c(funs, add) ## the Math group. members <- c("abs", "sign", "sqrt", "ceiling", "floor", "trunc", "cummax", "cummin", "cumprod", "cumsum", "exp", "expm1", "log", "log10", "log2", "log1p", "cos", "cosh", "sin", "sinh", "tan", "tanh", "acos", "acosh", "asin", "asinh", "atan", "atanh", "cospi", "sinpi", "tanpi", "gamma", "lgamma", "digamma", "trigamma" ) for(f in members) { funs <- .addBasicGeneric(funs, f, if(f %in% c("log", "trunc")) { function(x, ...) standardGeneric("") } else function(x) standardGeneric(""), "Math") } setGroupGeneric(where=where, "Math", function(x)NULL, knownMembers = members, package = "base") ## The Math2 group. funs <- .addBasicGeneric(funs, "round", function(x, digits = 0) standardGeneric(""), "Math2") funs <- .addBasicGeneric(funs, "signif", function(x, digits = 6) standardGeneric(""), "Math2") setGroupGeneric(where = where, "Math2", function(x, digits) NULL, knownMembers = c("round", "signif"), package = "methods") ## The Arith group members <- c("+", "-", "*", "^", "%%", "%/%", "/") for(f in members) funs <- .addBasicGeneric(funs, f, function(e1, e2) standardGeneric(""), "Arith") setGroupGeneric(where = where, "Arith", function(e1, e2)NULL, group = "Ops", knownMembers = members, package = "base") ## the Compare group members <- c("==", ">", "<", "!=", "<=", ">=") for(f in members) funs <- .addBasicGeneric(funs, f, function(e1, e2) standardGeneric(""), "Compare") setGroupGeneric(where = where, "Compare", function(e1, e2)NULL, group = "Ops", knownMembers = members, package = "methods") ## The Logic group members <- c("&", "|") ## *not* "!" since that has only one argument for(f in members) funs <- .addBasicGeneric(funs, f, function(e1, e2) standardGeneric(""), "Logic") setGroupGeneric(where = where, "Logic", function(e1, e2) NULL, group = "Ops", knownMembers = members, package = "base") ## the Ops group generic setGroupGeneric(where = where,"Ops", function(e1, e2) NULL, knownMembers = c("Arith", "Compare", "Logic"), package = "base") ## The Summary group ## These are a bit problematic, since they essentially have "..." ## as their only data-related formal argument. The treatment ## since S3 has been to define the generic with a special first ## argument, to allow method dispatch. But the method had better ## invoke the generic recursively or perform some other special ## computations, in order to avoid unintended anomalies, such as ## !identical(max(x,y), max(y,x)) members <- c("max", "min", "range", "prod", "sum", "any", "all") for(f in members) funs <- .addBasicGeneric(funs, f, function (x, ..., na.rm = FALSE) standardGeneric(""), "Summary") setGroupGeneric(where = where, "Summary", function(x, ..., na.rm = FALSE) NULL, knownMembers = members, package = "base") ## The Complex group ## R adds this group to the previous S language function groups, ## for all the operations defined on complex numbers. For ## applications wanting to define a new class that extends the ## concept of complex numbers, a function group is likely to be ## useful since all these functions may operate in a similar ## manner (by analogy, e.g., with the Math group). members <- c("Arg", "Conj", "Im", "Mod", "Re") for(f in members) funs <- .addBasicGeneric(funs, f, function(z) standardGeneric(""), "Complex") setGroupGeneric(where=where,"Complex", function(z)NULL, knownMembers = members, package = "base") funs <- .addBasicGeneric(funs, "unlist", internal=TRUE) ### TODO: bring back if/when .Internal(is.unsorted()) is useful to override ## funs <- .addBasicGeneric(funs, "is.unsorted", internal=TRUE, ## internalArgs=c("x", "strictly")) funs <- .addBasicGeneric(funs, "as.vector", internal=TRUE) assign(".BasicFunsList", funs, envir=where) rm(.addBasicGeneric, envir=where) } .initImplicitGenerics <- function(where) { ## create implicit generics & possibly methods for the functions in .BasicFunsList. setGeneric("with", signature = "data", where = where) setGenericImplicit("with", where, FALSE) ## when setMethod()ing on chol2inv, one should *not* have to deal with ## arguments 'size' and 'LINPACK' : setGeneric("chol2inv", function(x, ...) standardGeneric("chol2inv"), useAsDefault = function(x, ...) base::chol2inv(x, ...), signature = "x", where = where) setGenericImplicit("chol2inv", where, FALSE) setGeneric ("determinant", function(x, logarithm=TRUE, ...) standardGeneric("determinant"), useAsDefault = function(x, logarithm=TRUE, ...) base::determinant(x, logarithm, ...), signature = c("x", "logarithm"), where = where) setGenericImplicit("determinant", where, FALSE) setGeneric("rcond", function(x, norm, ...) standardGeneric("rcond"), useAsDefault = function(x, norm, ...) base::rcond(x, norm, ...), signature = c("x", "norm"), where = where) setGenericImplicit("rcond", where, FALSE) setGeneric("norm", function(x, type, ...) standardGeneric("norm"), useAsDefault = function(x, type, ...) base::norm(x, type, ...), signature = c("x", "type"), where = where) ## this method *belong*s to the generic: setMethod("norm", signature(x = "ANY", type = "missing"), function (x, type, ...) norm(x, type = "O", ...)) setGenericImplicit("norm", where, FALSE) setGeneric("backsolve", function(r, x, k = ncol(r), upper.tri = TRUE, transpose = FALSE, ...) standardGeneric("backsolve"), useAsDefault = function(r, x, k = ncol(r), upper.tri = TRUE, transpose = FALSE, ...) base::backsolve(r, x, k = k, upper.tri = upper.tri, transpose = transpose, ...), signature = c("r", "x"), where = where) setGenericImplicit("backsolve", where, FALSE) setGeneric("colMeans", function(x, na.rm = FALSE, dims = 1, ...) standardGeneric("colMeans"), useAsDefault = function(x, na.rm = FALSE, dims = 1, ...) base::colMeans(x, na.rm=na.rm, dims=dims, ...), signature = c("x", "na.rm", "dims"), where = where) setGeneric("colSums", function(x, na.rm = FALSE, dims = 1, ...) standardGeneric("colSums"), useAsDefault = function(x, na.rm = FALSE, dims = 1, ...) base::colSums(x, na.rm=na.rm, dims=dims, ...), signature = c("x", "na.rm", "dims"), where = where) setGeneric("rowMeans", function(x, na.rm = FALSE, dims = 1, ...) standardGeneric("rowMeans"), useAsDefault = function(x, na.rm = FALSE, dims = 1, ...) base::rowMeans(x, na.rm=na.rm, dims=dims, ...), signature = c("x", "na.rm", "dims"), where = where) setGeneric("rowSums", function(x, na.rm = FALSE, dims = 1, ...) standardGeneric("rowSums"), useAsDefault = function(x, na.rm = FALSE, dims = 1, ...) base::rowSums(x, na.rm=na.rm, dims=dims, ...), signature = c("x", "na.rm", "dims"), where = where) setGenericImplicit("colMeans", where, FALSE) setGenericImplicit("colSums", where, FALSE) setGenericImplicit("rowMeans", where, FALSE) setGenericImplicit("rowSums", where, FALSE) setGeneric("crossprod", function(x, y = NULL, ...) standardGeneric("crossprod"), useAsDefault = function(x, y = NULL, ...) base::crossprod(x, y), signature = c("x", "y"), where = where) setGeneric("tcrossprod", function(x, y = NULL, ...) standardGeneric("tcrossprod"), useAsDefault = function(x, y = NULL, ...) base::tcrossprod(x, y), signature = c("x", "y"), where = where) setGenericImplicit("crossprod", where, FALSE) setGenericImplicit("tcrossprod", where, FALSE) setGeneric("sample", function(x, size, replace = FALSE, prob = NULL, ...) standardGeneric("sample"), useAsDefault = function(x, size, replace = FALSE, prob = NULL, ...) base::sample(x, size, replace=replace, prob=prob, ...), signature = c("x", "size"), where = where) setGenericImplicit("sample", where, FALSE) ## qr.R(): signature should only have "qr", args should have "..." setGeneric("qr.R", function(qr, complete = FALSE, ...) standardGeneric("qr.R"), useAsDefault= function(qr, complete = FALSE, ...) base::qr.R(qr, complete=complete), signature = "qr", where = where) setGenericImplicit("qr.R", where, FALSE) ## our toeplitz() only has 'x'; want the generic "here" rather than "out there" setGeneric("toeplitz", function(x, ...) standardGeneric("toeplitz"), useAsDefault= function(x, ...) stats::toeplitz(x), signature = "x", where = where) setGenericImplicit("toeplitz", where, FALSE) ## not implicitGeneric() which is not yet available "here" registerImplicitGenerics(where = where) }