R/integer64.R

Defines functions as.list.integer64 is.vector.integer64 `!.integer64` xor.integer64 `|.integer64` `&.integer64` `>=.integer64` `>.integer64` `<=.integer64` `<.integer64` `!=.integer64` `==.integer64` is.nan.integer64 is.infinite.integer64 is.finite.integer64 is.na.integer64 cumprod.integer64 cumsum.integer64 cummax.integer64 cummin.integer64 diff.integer64 lim.integer64 range.integer64 max.integer64 min.integer64 prod.integer64 sum.integer64 all.integer64 any.integer64 round.integer64 scale.integer64 signif.integer64 ceiling.integer64 floor.integer64 trunc.integer64 log2.integer64 log10.integer64 log.integer64 sqrt.integer64 abs.integer64 sign.integer64 `/.integer64` `^.integer64` `*.integer64` `%%.integer64` `%/%.integer64` `-.integer64` `+.integer64` seq.integer64 `:.integer64` rep.integer64 as.data.frame.integer64 rbind.integer64 cbind.integer64 c.integer64 `[[<-.integer64` `[[.integer64` `[<-.integer64` `[.integer64` `[.integer64` str.integer64 print.integer64 format.integer64 `length<-.integer64` as.integer64.bitstring print.bitstring as.bitstring.integer64 as.character.integer64 as.logical.integer64 as.integer.integer64 as.double.integer64 as.integer64.factor as.integer64.character as.integer64.integer as.integer64.double as.integer64.integer64 as.integer64.NULL is.integer64 integer64 binattr plusclass minusclass as.bitstring as.integer64 identical.integer64 all.equal.integer64

Documented in abs.integer64 all.equal.integer64 all.integer64 any.integer64 as.bitstring as.bitstring.integer64 as.character.integer64 as.data.frame.integer64 as.double.integer64 as.integer64 as.integer64.bitstring as.integer64.character as.integer64.double as.integer64.factor as.integer64.integer as.integer64.integer64 as.integer64.NULL as.integer.integer64 as.list.integer64 as.logical.integer64 binattr cbind.integer64 ceiling.integer64 c.integer64 cummax.integer64 cummin.integer64 cumprod.integer64 cumsum.integer64 diff.integer64 floor.integer64 format.integer64 identical.integer64 integer64 is.finite.integer64 is.infinite.integer64 is.integer64 is.na.integer64 is.nan.integer64 is.vector.integer64 lim.integer64 log10.integer64 log2.integer64 log.integer64 max.integer64 min.integer64 minusclass plusclass print.bitstring print.integer64 prod.integer64 range.integer64 rbind.integer64 rep.integer64 round.integer64 scale.integer64 seq.integer64 signif.integer64 sign.integer64 sqrt.integer64 str.integer64 sum.integer64 trunc.integer64 xor.integer64

# /*
# R-Code
# S3 atomic 64bit integers for R
# (c) 2011-2024 Jens Oehlschägel
# (c) 2025 Michael Chirico
# Licence: GPL2
# Provided 'as is', use at your own risk
# Created: 2011-12-11
#*/

#' Identity function for class 'integer64'
#'
#' This will discover any deviation between objects containing integer64 vectors.
#'
#' This is simply a wrapper to [identical()] with default arguments
#'   `num.eq = FALSE, single.NA = FALSE`.
#'
#' @param x,y Atomic vector of class 'integer64'
#' @param num.eq,single.NA,attrib.as.set,ignore.bytecode,ignore.environment,ignore.srcref
#'   See [identical()].
#' @param ... Passed on to `identical()`. Only `extptr.as.ref=` is available as of R 4.4.1,
#'   and then only for versions of R >= 4.2.0.
#'
#' @return A single logical value, `TRUE` or `FALSE`, never `NA` and never
#'   anything other than a single value.
#' @keywords classes manip
#' @seealso [`==.integer64`] [identical()] [integer64()]
#' @examples
#'   i64 <- as.double(NA); class(i64) <- "integer64"
#'   identical(i64-1, i64+1)
#'   identical.integer64(i64-1, i64+1)
#' @name identical.integer64
NULL

#' Coerce from integer64
#'
#' Methods to coerce integer64 to other atomic types. 'as.bitstring' coerces
#'   to a human-readable bit representation (strings of zeroes and ones).
#'   The methods [format()], [as.character()], [as.double()],
#'   [as.logical()], [as.integer()] do what you would expect.
#'
#' @param x an integer64 vector
#' @param keep.names FALSE, set to TRUE to keep a names vector
#' @param ... further arguments to the [NextMethod()]
#'
#' @return `as.bitstring` returns a string of class 'bitstring'.
#'
#' The other methods return atomic vectors of the expected types
#'
#' @keywords classes manip
#' @seealso [as.integer64.character()] [integer64()]
#' @examples
#'   as.character(lim.integer64())
#'   as.bitstring(lim.integer64())
#'   as.bitstring(as.integer64(c(-2, -1, NA, 0:2)))
#' @name as.character.integer64
NULL

#' Coerce to integer64
#'
#' Methods to coerce from other atomic types to integer64.
#'
#' @param x an atomic vector
#' @param keep.names FALSE, set to TRUE to keep a names vector
#' @param ... further arguments to the [NextMethod()]
#'
#' @details
#' `as.integer64.character` is realized using C function `strtoll` which
#'   does not support scientific notation. Instead of '1e6' use '1000000'.
#'   `as.integer64.bitstring` evaluates characters '0' and ' ' as zero-bit,
#'   all other one byte characters as one-bit, multi-byte characters are not allowed,
#'   strings shorter than 64 characters are treated as if they were left-padded with '0',
#'   strings longer than 64 bytes are mapped to `NA_INTEGER64` and a warning is emitted.
#'
#' @return The other methods return atomic vectors of the expected types
#'
#' @keywords classes manip
#' @seealso [as.character.integer64()] [integer64()]
#' @examples
#' as.integer64(as.character(lim.integer64()))
#' as.integer64(
#'   structure(c("1111111111111111111111111111111111111111111111111111111111111110",
#'               "1111111111111111111111111111111111111111111111111111111111111111",
#'               "1000000000000000000000000000000000000000000000000000000000000000",
#'               "0000000000000000000000000000000000000000000000000000000000000000",
#'               "0000000000000000000000000000000000000000000000000000000000000001",
#'               "0000000000000000000000000000000000000000000000000000000000000010"
#'   ), class = "bitstring")
#' )
#' as.integer64(
#'  structure(c("............................................................... ",
#'              "................................................................",
#'              ".                                                               ",
#'              "",
#'              ".",
#'              "10"
#'   ), class = "bitstring")
#' )
#' @name as.integer64.character
NULL

#' Extract or Replace Parts of an integer64 vector
#'
#' Methods to extract and replace parts of an integer64 vector.
#'
#' @param x an atomic vector
#' @param i indices specifying elements to extract
#' @param value an atomic vector with values to be assigned
#' @param ... further arguments to the [NextMethod()]
#'
#' @note
#'   You should not subscript non-existing elements and not use `NA`s as subscripts.
#'   The current implementation returns `9218868437227407266` instead of `NA`.
#' @returns A vector or scalar of class 'integer64'
#' @keywords classes manip
#' @seealso [`[`][base::Extract] [integer64()]
#' @examples
#'   as.integer64(1:12)[1:3]
#'   x <- as.integer64(1:12)
#'   dim(x) <- c(3, 4)
#'   x
#'   x[]
#'   x[, 2:3]
#' @name extract.replace.integer64
NULL

#' Unary operators and functions for integer64 vectors
#'
#' Unary operators and functions for integer64 vectors.
#'
#' @param x an atomic vector of class 'integer64'
#' @param base an atomic scalar (we save 50% log-calls by not allowing
#'   a vector base)
#' @param digits integer indicating the number of decimal places (round)
#'   or significant digits (signif) to be used. Negative values are allowed
#'   (see [round()])
#' @param justify should it be right-justified (the default), left-justified,
#'   centred or left alone.
#' @param center see [scale()]
#' @param scale see [scale()]
#' @param ... further arguments to the [NextMethod()]
#'
#' @returns
#'   [format()] returns a character vector
#'
#'   [is.na()] and [`!`] return a logical vector
#'
#'   [sqrt()], [log()], [log2()] and [log10()] return a double vector
#'
#'   [sign()], [abs()], [floor()], [ceiling()], [trunc()] and
#'   [round()] return a vector of class 'integer64'
#'
#'   [signif()] is not implemented
#'
#' @keywords classes manip
#' @seealso [xor.integer64()] [integer64()]
#' @examples
#'   sqrt(as.integer64(1:12))
#' @name format.integer64
NULL

#' Binary operators for integer64 vectors
#'
#' Binary operators for integer64 vectors.
#'
#' @param e1 an atomic vector of class 'integer64'
#' @param e2 an atomic vector of class 'integer64'
#' @param x an atomic vector of class 'integer64'
#' @param y an atomic vector of class 'integer64'
#'
#' @returns
#'   [`&`], [`|`], [xor()], [`!=`], [`==`],
#'   [`<`], [`<=`], [`>`], [`>=`] return a logical vector
#'
#'   [`^`] and [`/`] return a double vector
#'
#'   [`+`], [`-`], [`*`], [`%/%`], [`%%`]
#'    return a vector of class 'integer64'
#'
#' @keywords classes manip
#' @seealso [format.integer64()] [integer64()]
#' @examples
#'   as.integer64(1:12) - 1
#'   options(integer64_semantics="new")
#'   d <- 2.5
#'   i <- as.integer64(5)
#'   d/i  # new 0.5
#'   d*i  # new 13
#'   i*d  # new 13
#'   options(integer64_semantics="old")
#'   d/i  # old: 0.4
#'   d*i  # old: 10
#'   i*d  # old: 13
#' @name xor.integer64
NULL

#' Summary functions for integer64 vectors
#'
#' Summary functions for integer64 vectors. Function 'range' without arguments
#'   returns the smallest and largest value of the 'integer64' class.
#'
#' @param ... atomic vectors of class 'integer64'
#' @param na.rm logical scalar indicating whether to ignore NAs
#' @param finite logical scalar indicating whether to ignore NAs (just for
#'   compatibility with [range.default()])
#'
#' @details
#' The numerical summary methods always return `integer64`. Wherever integer methods would
#'   return `Inf` (or its negation), here the extreme 64-bit integer `9223372036854775807` is
#'   returned. See [min()] for more details about the behavior.
#'
#' `lim.integer64` returns these limits in proper order
#'   `-9223372036854775807, +9223372036854775807` and without a [warning()].
#'
#' @returns
#'   [all()] and [any()] return a logical scalar
#'
#'   [range()] returns a integer64 vector with two elements
#'
#'   [min()], [max()], [sum()] and [prod()] return a integer64 scalar
#'
#' @keywords classes manip
#' @seealso [mean.integer64()] [cumsum.integer64()] [integer64()]
#' @examples
#'   lim.integer64()
#'   range(as.integer64(1:12))
#' @name sum.integer64
NULL

#' Cumulative Sums, Products, Extremes and lagged differences
#'
#' Cumulative Sums, Products, Extremes and lagged differences
#'
#' @param x an atomic vector of class 'integer64'
#' @param lag see [diff()]
#' @param differences see [diff()]
#' @param ... ignored
#'
#' @returns
#'   [cummin()], [cummax()] , [cumsum()] and [cumprod()]
#'      return a integer64 vector of the same length as their input
#'
#'   [diff()] returns a integer64 vector shorter by `lag*differences` elements
#'
#' @keywords classes manip
#' @seealso [sum.integer64()] [integer64()]
#' @examples
#'   cumsum(rep(as.integer64(1), 12))
#'   diff(as.integer64(c(0, 1:12)))
#'   cumsum(as.integer64(c(0, 1:12)))
#'   diff(cumsum(as.integer64(c(0, 0, 1:12))), differences=2)
#' @name cumsum.integer64
NULL

#' Concatenating integer64 vectors
#'
#' The ususal functions 'c', 'cbind' and 'rbind'
#'
#' @param ... two or more arguments coerced to 'integer64' and
#'   passed to [NextMethod()]
#' @param recursive logical. If `recursive = TRUE`, the function
#'   recursively descends through lists (and pairlists) combining all
#'   their elements into a vector.
#'
#' @returns
#'   [c()] returns a integer64 vector of the total length of the input
#'
#'   [cbind()] and [rbind()] return a integer64 matrix
#'
#' @note
#' R currently only dispatches generic 'c' to method 'c.integer64' if the
#'   first argument is 'integer64'
#'
#' @keywords classes manip
#' @seealso [rep.integer64()] [seq.integer64()] [as.data.frame.integer64()]
#'   [integer64()]
#'
#' @examples
#'   c(as.integer64(1), 2:6)
#'   cbind(1:6, as.integer(1:6))
#'   rbind(1:6, as.integer(1:6))
#' @name c.integer64
NULL

#' Replicate elements of integer64 vectors
#'
#' Replicate elements of integer64 vectors
#'
#' @param x a vector of 'integer64' to be replicated
#' @param ... further arguments passed to [NextMethod()]
#'
#' @returns [rep()] returns a integer64 vector
#' @keywords classes manip
#' @seealso [c.integer64()] [rep.integer64()]
#'   [as.data.frame.integer64()] [integer64()]
#'
#' @examples
#'   rep(as.integer64(1:2), 6)
#'   rep(as.integer64(1:2), c(6, 6))
#'   rep(as.integer64(1:2), length.out=6)
#' @name rep.integer64
NULL

#' integer64: Sequence Generation
#'
#' Generating sequence of integer64 values
#'
#' @param from integer64 scalar (in order to dispatch the integer64 method of [seq()]
#' @param to scalar
#' @param by scalar
#' @param length.out scalar
#' @param along.with scalar
#' @param ... ignored
#' @details
#'   `seq.integer64` does coerce its arguments 'from', 'to' and 'by' to `integer64`.
#'   If not provided, the argument 'by' is automatically determined as `+1` or `-1`,
#'   but the size of 'by' is not calculated as in [seq()] (because this might result
#'   in a non-integer value).
#'
#' @returns an integer64 vector with the generated sequence
#' @note
#'   In base R [`:`] currently is not generic and does not dispatch, see section
#'   "Limitations inherited from Base R" in [integer64()]
#'
#' @keywords classes manip
#' @seealso [c.integer64()] [rep.integer64()]
#'   [as.data.frame.integer64()] [integer64()]
#' @examples
#'   # colon not activated: as.integer64(1):12
#'   seq(as.integer64(1), 12, 2)
#'   seq(as.integer64(1), by=2, length.out=6)
#' @name seq.integer64
NULL

#' integer64: Coercing to data.frame column
#'
#' Coercing integer64 vector to data.frame.
#'
#' @param x an integer64 vector
#' @param ... passed to NextMethod [as.data.frame()] after removing the
#'   'integer64' class attribute
#'
#' @returns a one-column data.frame containing an integer64 vector
#' @details
#'   'as.data.frame.integer64' is rather not intended to be called directly,
#'   but it is required to allow integer64 as data.frame columns.
#' @note This is currently very slow -- any ideas for improvement?
#' @keywords classes manip
#' @seealso
#'   [cbind.integer64()] [integer64()]
#    as.vector.integer64 removed as requested by the CRAN maintainer [as.vector.integer64()]
#' @examples
#'   as.data.frame.integer64(as.integer64(1:12))
#'   data.frame(a=1:12, b=as.integer64(1:12))
#' @name as.data.frame.integer64
NULL

#' integer64: Maintaining S3 class attribute
#'
#' Maintaining integer64 S3 class attribute.
#'
#' @param class NULL or a character vector of class attributes
#' @param whichclass the (single) class name to add or remove from the class vector
#'
#' @returns NULL or a character vector of class attributes
#'
#' @keywords classes manip internal
#' @seealso [oldClass()] [integer64()]
#' @examples
#'   plusclass("inheritingclass", "integer64")
#'   minusclass(c("inheritingclass", "integer64"), "integer64")
#' @name plusclass
NULL

#' Test if two integer64 vectors are all.equal
#'
#' A utility to compare integer64 objects 'x' and 'y' testing for
#'   ‘near equality’, see [all.equal()].
#'
#' @param target a vector of 'integer64' or an object that can be coerced
#'   with [as.integer64()]
#' @param current a vector of 'integer64' or an object that can be coerced
#'   with [as.integer64()]
#' @param tolerance numeric > 0.  Differences smaller than `tolerance` are
#'   not reported.  The default value is close to `1.5e-8`.
#' @param scale `NULL` or numeric > 0, typically of length 1 or
#'   `length(target)`. See Details.
#' @param countEQ logical indicating if the `target == current` cases should
#'   be counted when computing the mean (absolute or relative) differences.
#'   The default, `FALSE` may seem misleading in cases where `target` and
#'   `current` only differ in a few places; see the extensive example.
#' @param formatFUN a [function()] of two arguments, `err`, the relative,
#'   absolute or scaled error, and `what`, a character string indicating the
#'   _kind_ of error; maybe used, e.g., to format relative and absolute errors
#'   differently.
#' @param ... further arguments are ignored
#' @param check.attributes logical indicating if the [attributes()] of `target`
#'   and `current` (other than the names) should be compared.
#'
#' @returns
#'   Either ‘TRUE’ (‘NULL’ for ‘attr.all.equal’) or a vector of ‘mode’
#'   ‘"character"’ describing the differences between ‘target’ and
#'   ‘current’.
#'
#' @details
#'  In [all.equal.numeric()] the type `integer` is treated as a proper subset
#'   of `double` i.e. does not complain about comparing `integer` with `double`.
#'   Following this logic `all.equal.integer64` treats `integer` as a proper
#'   subset of `integer64` and does not complain about comparing `integer` with
#'   `integer64`. `double` also compares without warning as long as the values
#'   are within [lim.integer64()], if `double` are bigger `all.equal.integer64`
#'   complains about the `all.equal.integer64 overflow warning`. For further
#'   details see [all.equal()].
#'
#' @note
#'    [all.equal()] only dispatches to this method if the first argument is `integer64`,
#'    calling [all.equal()] with a `non-integer64` first and a `integer64` second argument
#'    gives undefined behavior!
#'
#' @seealso [all.equal()]
#' @examples
#'   all.equal(as.integer64(1:10), as.integer64(0:9))
#'   all.equal(as.integer64(1:10), as.integer(1:10))
#'   all.equal(as.integer64(1:10), as.double(1:10))
#'   all.equal(as.integer64(1), as.double(1e300))
#' @name all.equal.integer64
NULL

methods::setOldClass("integer64")

# contributed by Leonardo Silvestri with modifications of JO
#' @rdname all.equal.integer64
#' @method all.equal integer64
#' @exportS3Method all.equal integer64
all.equal.integer64  <- function(target, current,
                                 tolerance = sqrt(.Machine$double.eps),
                                 scale = NULL,
                                 countEQ = FALSE,
                                 formatFUN = function(err, what) format(err),
                                 ...,
                                 check.attributes = TRUE) {
  if (!is.numeric(tolerance))
    stop("'tolerance' should be numeric")
  if (!is.numeric(scale) && !is.null(scale))
    stop("'scale' should be numeric or NULL")
  if (!is.logical(check.attributes))
    stop(gettextf("'%s' must be logical", "check.attributes"),
         domain = NA)
  # JO: BEGIN respect that integer is a proper subset of integer64 like integer is a proper subset of double
  oldwarn <- getOption("warn")
  on.exit(options(warn=oldwarn))
  options(warn=2L)
  if (!is.integer64(target)) {
    cl <- oldClass(target)
    oldClass(target) <- NULL
    target <- try(as.integer64(target))
    if (inherits(target, 'try-error'))
      return(paste("while coercing 'target' to 'integer64':",  attr(target, "condition")$message))
    oldClass(target) <- c(cl, "integer64")
  }
  if (!is.integer64(current)) {
    cl <- oldClass(current)
    oldClass(current) <- NULL
    current <- try(as.integer64(current))
    if (inherits(current, 'try-error'))
      return(paste("while coercing 'current' to 'integer64':",  attr(current, "condition")$message))
    oldClass(current) <- c(cl, "integer64")
  }
  # JO: END respect that integer is a proper subset of integer64 like integer is a proper subset of double
  msg <- NULL
  msg <- if (check.attributes)
           attr.all.equal(target, current, tolerance = tolerance,
                          scale = scale, ...)
  if (data.class(target) != data.class(current)) {
    msg <- c(msg, paste0("target is ", data.class(target),
                         ", current is ", data.class(current)))
    return(msg)
  }
  lt <- length(target)
  lc <- length(current)
  if (lt != lc) {
    if (!is.null(msg))
      msg <- msg[-grep("\\bLengths\\b", msg)]
    msg <- c(msg, paste0("integer64: lengths (", lt, ", ", lc, ") differ"))
    return(msg)
  }
  out <- is.na(target)
  if (any(out != is.na(current))) {
    msg <- c(msg, paste("'is.NA' value mismatch:", sum(is.na(current)),
                        "in current", sum(out), "in target"))
    return(msg)
  }
  out <- out | target == current
  if (all(out))
    # TODO(R>=4.4.0): msg %||% TRUE
    return(if (is.null(msg)) TRUE else msg)
  anyO <- any(out)
  sabst0 <- if (countEQ && anyO) mean(abs(target[out])) else 0.0
  if (anyO) {
    keep <- which(!out)
    target  <- target [keep]
    current <- current[keep]
    if (!is.null(scale) && length(scale) > 1L) {
      # TODO(R>=4.0.0): Try removing this ocl part when rep() dispatching WAI on all versions (#100)
      ocl = class(scale)
      scale = rep_len(scale, length(out))[keep]
      class(scale) = ocl
    }
  }
  N <- length(target)
  what <- if (is.null(scale)) {
    scale <- sabst0 + sum(abs(target)/N)
    if (is.finite(scale) && scale > tolerance) {
      "relative"
    } else {
      scale <- 1.0
      "absolute"
    }
  } else {
    stopifnot(scale > 0.0)
    if (all(abs(scale - 1.0) < 1e-07))
      "absolute"
    else
      "scaled"
  }
  xy <- sum(abs(target - current) / (N*scale))
  if (is.na(xy) || xy > tolerance)
    msg <- c(msg, paste("Mean", what, "difference:", formatFUN(xy, what)))
  # TODO(R>=4.4.0): msg %||% TRUE
  if (is.null(msg)) TRUE else msg
}

# TODO(R>=4.2.0): Consider restoring extptr.as.ref= to the signature.
#' @rdname identical.integer64
#' @exportS3Method identical integer64
#' @export
identical.integer64 <- function(x, y,
                                num.eq=FALSE,
                                single.NA=FALSE,
                                attrib.as.set=TRUE,
                                ignore.bytecode=TRUE,
                                ignore.environment=FALSE,
                                ignore.srcref=TRUE,
                                ...) {
  identical(x=x, y=y,
    num.eq=num.eq,
    single.NA=single.NA,
    attrib.as.set=attrib.as.set,
    ignore.bytecode=ignore.bytecode,
    ignore.environment=ignore.environment,
    ignore.srcref=ignore.srcref,
    ...
  )
}


#' @rdname as.integer64.character
#' @export
as.integer64 <- function(x, ...) UseMethod("as.integer64")

#' @rdname as.character.integer64
#' @export
as.bitstring <- function(x, ...) UseMethod("as.bitstring")

#' @rdname plusclass
#' @export
minusclass <- function(class, whichclass) {
  if (!length(class)) return(class)
  i <- whichclass == class
  if (any(i))
    class[!i]
  else
    class
}

#' @export
plusclass <- function(class, whichclass) {
  if (!length(class)) return(whichclass)
  c(class, if (!any(whichclass == class)) whichclass)
}

# Version of Leonardo Silvestri
#' @rdname xor.integer64
#' @export
binattr <- function(e1, e2) {
  d1 <- dim(e1)
  d2 <- dim(e2)
  n1 <- length(e1)
  n2 <- length(e2)

  ## this first part takes care of erroring out when the dimensions
  ## are not compatible or warning if needed:
  if (length(d1)) {
    if (length(d2)) {
      if (!identical(dim(e1), dim(e2)))
        stop("non-conformable arrays")
    } else {
      if (n2 > n1 && n1)
        stop("length(e2) does not match dim(e1)")
      if (n2 && n1 %% n2)
        warning("length(e1) not a multiple length(e2)")
    }
  } else if (length(d2)) {
    if (n1 > n2 && n2)
      stop("length(e1) does not match dim(n2)")
    if (n1 && n2 %% n1)
      warning("length(e2) not a multiple length(e1)")
  } else {
    # nolint next: unnecessary_nesting_linter. Good parallelism.
    if (n1 < n2 && n1) {
      if (n1 && n2 %% n1)
        warning("length(e2) not a multiple length(e1)")
    } else {
      # nolint next: unnecessary_nesting_linter. Good parallelism.
      if (n2 && n1 %% n2)
        warning("length(e1) not a multiple length(e2)")
    }
  }

  ## in this part we mimic R's algo for selecting attributes:
  if (n1 == n2) {
    ## if same size take attribute from e1 if it exists, else from e2
    if (n1 == 0L) {
      ae1 <- attributes(e1)[c("class", "dim", "dimnames")]
      ae2 <- attributes(e2)[c("class", "dim", "dimnames")]
    }
    ae1 <- attributes(e1)
    ae2 <- attributes(e2)
    nae1 <- names(attributes(e1))
    nae2 <- names(attributes(e2))
    if (n1==0L) {
      ae1 <- ae1[nae1 %in% c("class", "dim", "dimnames")]
      ae2 <- ae1[nae1 %in% c("class", "dim", "dimnames")]
    }
    allattr <- list()
    for (a in union(nae1, nae2))
      if (a %in% nae1)
        allattr[[a]] <- ae1[[a]]
    else
      allattr[[a]] <- ae2[[a]]
    allattr
  } else if (n1 == 0L || n1 > n2) {
    attributes(e1)
  } else {
    attributes(e2)
  }
}

#' @rdname bit64-package
#' @param length length of vector using [integer()]
#' @return `integer64` returns a vector of 'integer64', i.e.,
#'   a vector of [double()] decorated with class 'integer64'.
#' @export
integer64 <- function(length=0L) {
  ret <- double(length)
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname bit64-package
#' @param x an integer64 vector
#' @export
is.integer64 <- function(x) inherits(x, "integer64")

#' @rdname as.integer64.character
#' @export
as.integer64.NULL <- function(x, ...) {
  ret <- double()
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname as.integer64.character
#' @export
as.integer64.integer64 <- function(x, ...) x

#' @rdname as.integer64.character
#' @export
as.integer64.double <- function(x, keep.names=FALSE, ...) {
  ret <- .Call(C_as_integer64_double, x, double(length(x)))
  if (keep.names)
    names(ret) <- names(x)
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname as.integer64.character
#' @export
as.integer64.integer <- function(x, ...) {
  ret <- .Call(C_as_integer64_integer, x, double(length(x)))
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname as.integer64.character
#' @export
as.integer64.logical <- as.integer64.integer

#' @rdname as.integer64.character
#' @export
as.integer64.character <- function(x, ...) {
  n <- length(x)
  ret <- .Call(C_as_integer64_character, x, rep(NA_real_, n))
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname as.integer64.character
#' @export
as.integer64.factor <- function(x, ...) as.integer64(unclass(x), ...)

#' @rdname as.character.integer64
#' @export
as.double.integer64 <- function(x, keep.names=FALSE, ...) {
  ret <- .Call(C_as_double_integer64, x, double(length(x)))
  if (keep.names)
    names(ret) <- names(x)
  ret
}

#' @rdname as.character.integer64
#' @export
as.integer.integer64 <- function(x, ...) {
  .Call(C_as_integer_integer64, x, integer(length(x)))
}

#' @rdname as.character.integer64
#' @export
as.logical.integer64 <- function(x, ...) {
  .Call(C_as_logical_integer64, x, logical(length(x)))
}

#' @rdname as.character.integer64
#' @export
as.character.integer64 <- function(x, ...) {
  n <- length(x)
  .Call(C_as_character_integer64, x, rep(NA_character_, n))
}

#' @rdname as.character.integer64
#' @export
as.bitstring.integer64 <- function(x, ...) {
  n <- length(x)
  ret <- .Call(C_as_bitstring_integer64, x, rep(NA_character_, n))
  oldClass(ret) <- 'bitstring'
  ret
}

#' @rdname as.character.integer64
#' @export
print.bitstring <- function(x, ...) {
  oldClass(x) <- minusclass(class(x), 'bitstring')
  NextMethod(x)
}

#' @rdname as.integer64.character
#' @export
as.integer64.bitstring <- function(x, ...) {
  ret <- .Call(C_as_integer64_bitstring, x, double(length(x)))
  oldClass(ret) <- "integer64"
  ret
}


# read.table expects S4 as()
methods::setAs("character", "integer64", function(from) as.integer64.character(from))
methods::setAs("integer64", "character", function(from) as.character.integer64(from))

# this is a trick to generate NA_integer64_ for namespace export before
# as.integer64() is available because dll is not loaded
#' @rdname as.integer64.character
#' @export
NA_integer64_ <- unserialize(as.raw(c(
  0x58, 0x0a, 0x00, 0x00, 0x00, 0x02, 0x00, 0x03, 0x03, 0x00, 0x00, 0x02, 0x03, 0x00, 0x00, 0x00,
  0x03, 0x0e, 0x00, 0x00, 0x00, 0x01, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
  0x04, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x04, 0x00, 0x09, 0x00, 0x00, 0x00, 0x05, 0x63, 0x6c,
  0x61, 0x73, 0x73, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x04, 0x00, 0x09, 0x00,
  0x00, 0x00, 0x09, 0x69, 0x6e, 0x74, 0x65, 0x67, 0x65, 0x72, 0x36, 0x34, 0x00, 0x00, 0x00, 0xfe
)))

#' @rdname bit64-package
#' @param value an integer64 vector of values to be assigned
#' @export
`length<-.integer64` <- function(x, value) {
  cl <- oldClass(x)
  n <- length(x)
  x <- NextMethod()
  oldClass(x) <- cl
  if (value>n)
    x[(n+1L):value] <- 0L
  x
}

#' @rdname format.integer64
#' @export
format.integer64 <- function(x, justify="right", ...) {
  a <- attributes(x)
  x <- as.character(x)
  ret <- format(x, justify=justify, ...)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname bit64-package
#' @param quote logical, indicating whether or not strings should be printed with surrounding quotes.
#' @param ... further arguments to the [NextMethod()]
#' @export
print.integer64 <- function(x, quote=FALSE, ...) {
  a <- attributes(x)
  if (length(x)) {
    cat("integer64\n")
    ret <- as.character(x)
    a$class <- minusclass(a$class, "integer64")
    attributes(ret) <- a
    print(ret, quote=quote, ...)
  } else {
    cat("integer64(0)\n")
  }
  invisible(x)
}

#' @rdname bit64-package
#' @param object an integer64 vector
#' @param vec.len,give.head,give.length see [utils::str()]
#' @export
str.integer64 <- function(object,
                          vec.len  = strO$vec.len,
                          give.head = TRUE,
                          give.length = give.head,
                          ...) {
  strO <- strOptions()
  vec.len <- 2L*vec.len
  n <- length(object)
  if (n > vec.len)
    object <- object[seq_len(vec.len)]
  cat(
    if (give.head) paste0("integer64 ", if (give.length && n>1L) paste0("[1:", n, "] ")),
    paste(as.character(object), collapse=" "),
    if (n > vec.len) " ...",
    " \n",
    sep=""
  )
  invisible()
}

#' @rdname extract.replace.integer64
#' @export
`[.integer64` <- function(x, i, ...) {
    cl <- oldClass(x)
    ret <- NextMethod()
    # Begin NA-handling from Leonardo Silvestri
    if (!missing(i)) {
        if (inherits(i, "character")) {
          na_idx <- union(which(!(i %in% names(x))), which(is.na(i)))
          if (length(na_idx))
                ret[na_idx] <- NA_integer64_
        } else {
      ni <- length(i)
      nx <- length(x)
      if (inherits(i, "logical")) {
            if (ni>nx) {
              na_idx <- is.na(i) | (i & seq_along(i)>nx)
              na_idx <- na_idx[is.na(i) | i]
            } else {
          i <- i[is.na(i) | i]
          na_idx <- rep_len(is.na(i), length(ret))
            }
          } else if (ni && min(i, na.rm=TRUE)>=0L) {
            i <- i[is.na(i) | i>0L]
            na_idx <- is.na(i) | i>length(x)
          } else {
            na_idx <- FALSE
          }
          if (any(na_idx))
                ret[na_idx] <- NA_integer64_
        }
    }
    # End NA-handling from Leonardo Silvestri
    oldClass(ret) <- cl
    remcache(ret)
    ret
}


`[.integer64` <- function(x, i, ...) {
  cl <- oldClass(x)
  ret <- NextMethod()
  # Begin NA-handling from Leonardo Silvestri
  if (!missing(i)) {
    if (inherits(i, "character")) {
      na_idx <- union(which(!(i %in% names(x))), which(is.na(i)))
      if (length(na_idx))
        ret[na_idx] <- NA_integer64_
    } else {
      na_idx <- is.na(rep(TRUE, length(x))[i])
      if (any(na_idx))
        ret[na_idx] <- NA_integer64_
    }
  }
  # End NA-handling from Leonardo Silvestri
  oldClass(ret) <- cl
  remcache(ret)
  ret
}

#' @rdname extract.replace.integer64
#' @export
`[<-.integer64` <- function(x, ..., value) {
  cl <- oldClass(x)
  value <- as.integer64(value)
  ret <- NextMethod()
  oldClass(ret) <- cl
  ret
}

#' @rdname extract.replace.integer64
#' @export
`[[.integer64` <- function(x, ...) {
  cl <- oldClass(x)
  ret <- NextMethod()
  oldClass(ret) <- cl
  ret
}

#' @rdname extract.replace.integer64
#' @export
`[[<-.integer64` <- function(x, ..., value) {
  cl <- oldClass(x)
  value <- as.integer64(value)
  ret <- NextMethod()
  oldClass(ret) <- cl
  ret
}

#' @rdname c.integer64
#' @export
c.integer64 <- function(..., recursive = FALSE) {
  l <- list(...)
  for (k in seq_along(l)) {
    if (recursive && is.list(l[[k]])) {
      l[[k]] <- do.call(c.integer64, c(l[[k]], list(recursive = TRUE)))
    } else {
      if (!is.integer64(l[[k]])) {
        nam <- names(l[[k]])
        l[[k]] <- as.integer64(l[[k]])
        names(l[[k]]) <- nam
      }
      oldClass(l[[k]]) <- NULL
    }
  }
  ret <- do.call(c, l)
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname c.integer64
#' @export
cbind.integer64 <- function(...) {
  l <- list(...)
    K <- length(l)
  for (k in 1:K) {
        if (!is.integer64(l[[k]])) {
            nam <- names(l[[k]])
            l[[k]] <- as.integer64(l[[k]])
            names(l[[k]]) <- nam
        }
        oldClass(l[[k]]) <- NULL
  }
  ret <- do.call(cbind, l)
    oldClass(ret) <- "integer64"
  ret
}

#' @rdname c.integer64
#' @export
rbind.integer64 <- function(...) {
  l <- list(...)
    K <- length(l)
  for (k in 1:K) {
        if (!is.integer64(l[[k]])) {
            nam <- names(l[[k]])
            l[[k]] <- as.integer64(l[[k]])
            names(l[[k]]) <- nam
        }
        oldClass(l[[k]]) <- NULL
  }
  ret <- do.call(rbind, l)
    oldClass(ret) <- "integer64"
  ret
}

#' @rdname as.data.frame.integer64
#' @export
as.data.frame.integer64 <- function(x, ...) {
  cl <- oldClass(x)
  on.exit(setattr(x, "class", cl))
  # tenfold runtime if using attr() here instead of setattr()
  setattr(x, "class", minusclass(cl, "integer64"))
  ret <- as.data.frame(x, ...)
  k <- length(ret)
  for (i in 1:k)
   setattr(ret[[i]], "class", cl)
  ret
}

#' @export
rep.integer64 <- function(x, ...) {
    cl <- oldClass(x)
    ret <- NextMethod()
    oldClass(ret) <- cl
    ret
}

# FIXME no method dispatch for :
`:.integer64` <- function(from, to) {
  from <- as.integer64(from)
  to <- as.integer64(to)
  ret <- .Call(C_seq_integer64, from, as.integer64(1L), double(as.integer(to-from+1L)))
  oldClass(ret) <- "integer64"
  ret
}

#' @export
seq.integer64 <- function(from=NULL, to=NULL, by=NULL, length.out=NULL, along.with=NULL, ...) {
  if (is.null(length.out))
    length.out <- length(along.with)
  else
    length.out <- as.integer(length.out)

  if (is.null(by)) {
    if (is.null(from) || is.null(to))
      by <- as.integer64(1L)
    else
      by <- as.integer64(if (to < from) -1L else 1L)
  } else {
    by <- as.integer64(by)
    if (!is.null(from) && !is.null(to) && (sign(by) != (if (to < from) -1L else 1L)))
      stop("wrong sign of 'by' argument")
  }

  if (is.null(from)) {
    if (length.out && length(to))
      from <- to - (length.out-1L)*by
    else
      from <- as.integer64(1L)
  } else {
    from <- as.integer64(from)
  }

  if (!length(to)) {
    if (length.out)
      to <- from + (length.out-1L)*by
    else
      stop("not enough information provided")
  }

  if (!length.out) {
    length.out <- (to-from) %/% by + 1L
  }

  if (!length.out) return(integer64())
  if (length.out==1L) return(from)
  #return(cumsum(c(from, rep(by, length.out-1L))))
  ret <- .Call(C_seq_integer64, from, by, double(as.integer(length.out)))
  oldClass(ret) <- "integer64"
  return(ret)
}

#' @rdname xor.integer64
#' @export
`+.integer64` <- function(e1, e2) {
  if (missing(e2))
    return(e1)
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- double(l)
  ret <- .Call(C_plus_integer64, e1, e2, ret)
  a$class <- plusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`-.integer64` <- function(e1, e2) {
  if (missing(e2)) {
    e2 <- e1
    e1 <- 0L
  }
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- double(l)
  .Call(C_minus_integer64, e1, e2, ret)
  a$class <- plusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`%/%.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- double(l)
  .Call(C_intdiv_integer64, e1, e2, ret)
  a$class <- plusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`%%.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- double(l)
  .Call(C_mod_integer64, e1, e2, ret)
  a$class <- plusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`*.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- double(l)
  if (getOption("integer64_semantics", "old") == "old") {
    if (is.double(e2))  # implies !is.integer64(e2)
      ret <- .Call(C_times_integer64_double, as.integer64(e1), e2, ret)
    else
      ret <- .Call(C_times_integer64_integer64, as.integer64(e1), as.integer64(e2), ret)
  } else {
    # nolint next: unnecessary_nesting_linter. Good parallelism, and on a to-be-deprecated code path.
    if (is.double(e2))  # implies !is.integer64(e2)
      ret <- .Call(C_times_integer64_double, as.integer64(e1), e2, ret)
    else if (is.double(e1))
      ret <- .Call(C_times_integer64_double, as.integer64(e2), e1, ret)
    else
      ret <- .Call(C_times_integer64_integer64, as.integer64(e1), as.integer64(e2), ret)
  }
  a$class <- plusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`^.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- double(l)
  if (is.double(e2))  # implies !is.integer64(e2)
    ret <- .Call(C_power_integer64_double, as.integer64(e1), e2, ret)
  else
    ret <- .Call(C_power_integer64_integer64, as.integer64(e1), as.integer64(e2), ret)
  a$class <- plusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`/.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- double(l)
  if (getOption("integer64_semantics", "old") == "old") {
    if (is.double(e2))  # implies !is.integer64(e2)
      ret <- .Call(C_divide_integer64_double, as.integer64(e1), e2, ret)
    else
      ret <- .Call(C_divide_integer64_integer64, as.integer64(e1), as.integer64(e2), ret)
  } else {
    # nolint next: unnecessary_nesting_linter. Good parallelism, and on a to-be-deprecated code path.
    if (is.double(e2))  # implies !is.integer64(e2)
      ret <- .Call(C_divide_integer64_double, as.integer64(e1), e2, ret)
    else if (is.double(e1))
      ret <- .Call(C_divide_double_integer64, e1, e2, ret)
    else
      ret <- .Call(C_divide_integer64_integer64, as.integer64(e1), as.integer64(e2), ret)
  }
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}


#' @rdname format.integer64
#' @export
sign.integer64 <- function(x) {
  a <- attributes(x)
  ret <- .Call(C_sign_integer64, x, double(length(x)))
  attributes(ret) <- a
  ret
}

#' @rdname format.integer64
#' @export
abs.integer64 <- function(x) {
  a <- attributes(x)
  ret <- .Call(C_abs_integer64, x, double(length(x)))
  attributes(ret) <- a
  ret
}

#' @rdname format.integer64
#' @export
sqrt.integer64 <- function(x) {
  a <- attributes(x)
  ret <- .Call(C_sqrt_integer64, x, double(length(x)))
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname format.integer64
#' @export
log.integer64 <- function(x, base=NULL) {
  a <- attributes(x)
  l.x <- length(x)
  l.base <- length(base)
  l <- if (l.x==0L || (!is.null(base) && l.base==0L)) 0L else max(l.base, l.x)
  ret <- double(l)
  if (is.null(base)) {
    .Call(C_log_integer64, x, ret)
  } else if (length(base)==1L) {
    .Call(C_logbase_integer64, x, as.double(base), ret)
  } else {
    .Call(C_logvect_integer64, x, as.double(base), ret)
  }
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname format.integer64
#' @export
log10.integer64 <- function(x) {
  a <- attributes(x)
  ret <- .Call(C_log10_integer64, x, double(length(x)))
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname format.integer64
#' @export
log2.integer64 <- function(x) {
  a <- attributes(x)
  ret <- .Call(C_log2_integer64, x, double(length(x)))
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname format.integer64
#' @export
trunc.integer64 <- function(x, ...) x
#' @rdname format.integer64
#' @export
floor.integer64 <- function(x) x
#' @rdname format.integer64
#' @export
ceiling.integer64 <- function(x) x

#' @rdname format.integer64
#' @export
signif.integer64 <- function(x, digits=6L) x

#' @rdname format.integer64
#' @export
scale.integer64 <- function(x, center = TRUE, scale = TRUE) {
  scale(as.double(x, keep.names=TRUE), center=center, scale=scale)
}

#' @rdname format.integer64
#' @export
round.integer64 <- function(x, digits=0L) {
  if (digits >= 0L) return(x)
  a <- attributes(x)
  b <- 10L^round(-digits)
  b2 <- b %/% 2L
  d <- (x %/% b)
  db <- d * b
  r <- abs(x-db)
  ret <- ifelse((r < b2) | (r == b2 & ((d %% 2L) == 0L)), db, db + sign(x)*b)
  #a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname sum.integer64
#' @export
any.integer64 = function(..., na.rm=FALSE) {
  l <- list(...)
  if (length(l) == 1L)
    return(.Call(C_any_integer64, l[[1L]], na.rm, logical(1L)))
  any_elts = vapply(l, FUN.VALUE=logical(1L), function(e) {
    if (is.integer64(e)) {
      .Call(C_any_integer64, e, na.rm, logical(1L))
    } else {
      any(e, na.rm=na.rm)
    }
  })
  any(any_elts, na.rm=na.rm)
}

#' @rdname sum.integer64
#' @export
all.integer64 = function(..., na.rm=FALSE) {
  l <- list(...)
  if (length(l) == 1L)
    return(.Call(C_all_integer64, l[[1L]], na.rm, logical(1L)))
  all_elts = vapply(l, FUN.VALUE=logical(1L), function(e) {
    if (is.integer64(e)) {
      .Call(C_all_integer64, e, na.rm, logical(1L))
    } else {
      all(e, na.rm=na.rm)
    }
  })
  all(all_elts, na.rm=na.rm)
}

#' @rdname sum.integer64
#' @export
sum.integer64 = function(..., na.rm=FALSE) {
  l = list(...)
  if (length(l) == 1L) {
    ret = .Call(C_sum_integer64, l[[1L]], na.rm, double(1L))
    oldClass(ret) = "integer64"
    ret
  } else {
    ret = vapply(l, FUN.VALUE=integer64(1L), function(e) {
      if (is.integer64(e)) {
        .Call(C_sum_integer64, e, na.rm, double(1L))
      } else {
        as.integer64(sum(e, na.rm=na.rm))
      }
    })
    oldClass(ret) = "integer64"
    sum(ret, na.rm=na.rm)
  }
}

#' @rdname sum.integer64
#' @export
prod.integer64 <- function(..., na.rm=FALSE) {
  l = list(...)
  if (length(l) == 1L) {
    ret = .Call(C_prod_integer64, l[[1L]], na.rm, double(1L))
    oldClass(ret) = "integer64"
    ret
  } else {
    ret <- vapply(l, FUN.VALUE=integer64(1L), function(e) {
      if (is.integer64(e)) {
        .Call(C_prod_integer64, e, na.rm, double(1L))
      } else {
        as.integer64(prod(e, na.rm=na.rm))
      }
    })
    oldClass(ret) = "integer64"
    prod(ret, na.rm=na.rm)
  }
}

#' @rdname sum.integer64
#' @export
min.integer64 = function(..., na.rm=FALSE) {
  l = list(...)
  if (length(l) == 1L) {
    ret = .Call(C_min_integer64, l[[1L]], na.rm, double(1L))
    oldClass(ret) = "integer64"
  } else {
    ret = vapply(l, FUN.VALUE=integer64(1L), function(e) {
      if (is.integer64(e)) {
        .Call(C_min_integer64, e, na.rm, double(1L))
      } else {
        as.integer64(min(e, na.rm=na.rm))
      }
    })
    oldClass(ret) = "integer64"
    ret = min(ret, na.rm=na.rm)
  }
  if (!any(lengths(l)))
    warning("no non-NA value, returning the highest possible integer64 value +", lim.integer64()[2L])
  ret
}

#' @rdname sum.integer64
#' @export
max.integer64 = function(..., na.rm=FALSE) {
  l = list(...)
  if (length(l) == 1L) {
    ret = .Call(C_max_integer64, l[[1L]], na.rm, double(1L))
    oldClass(ret) = "integer64"
  } else {
    ret <- vapply(l, FUN.VALUE=integer64(1L), function(e) {
      if (is.integer64(e)) {
        .Call(C_max_integer64, e, na.rm, double(1L))
      } else {
        as.integer64(max(e, na.rm=na.rm))
      }
    })
    oldClass(ret) = "integer64"
    ret = max(ret, na.rm=na.rm)
  }
  if (!any(lengths(l)))
    warning("no non-NA value, returning the lowest possible integer64 value ", lim.integer64()[1L])
  ret
}

#' @rdname sum.integer64
#' @export
range.integer64 = function(..., na.rm=FALSE, finite=FALSE) {
  if (finite)
    na.rm = TRUE
  l <- list(...)
  if (length(l) == 1L) {
    ret = .Call(C_range_integer64, l[[1L]], na.rm, double(2L))
    oldClass(ret) = "integer64"
  } else {
    ret <- vapply(l, FUN.VALUE=integer64(2L), function(e) {
      if (is.integer64(e)) {
        .Call(C_range_integer64, e, na.rm, double(2L))
      } else {
        as.integer64(range(e, na.rm=na.rm))
      }
    })
    oldClass(ret) = "integer64"
    ret = range(ret, na.rm=na.rm)
  }
  if (!any(lengths(l)))
    warning("no non-NA value, returning c(+", lim.integer64()[2L], ", ", lim.integer64()[1L], ")")
  ret
}

#' @rdname sum.integer64
#' @export
lim.integer64 = function() {
  ret = .Call(C_lim_integer64, double(2L))
  oldClass(ret) = "integer64"
  ret
}

#' @rdname cumsum.integer64
#' @export
diff.integer64 <- function(x, lag=1L, differences=1L, ...) {
  lag <- as.integer(lag)
  n <- length(x)
  d <- differences <- as.integer(differences)
  while (d > 0L) {
    n <- n - lag
    if (n <= 0L) {
      ret <- double()
      break
    }
    # not assigning ret<-.Call in the following is intended because faster
    if (d==differences) {
      ret <- double(n)
      .Call(C_diff_integer64, x, as.integer64(lag), as.integer64(n), ret)
    } else {
      .Call(C_diff_integer64, ret, as.integer64(lag), as.integer64(n), ret)
    }
    d <- d - 1L
  }
  # length of ret is only change once here
  length(ret) <- n
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname cumsum.integer64
#' @export
cummin.integer64 <- function(x) {
  ret <- .Call(C_cummin_integer64, x, double(length(x)))
  oldClass(ret) <- "integer64"
  ret
}
#' @rdname cumsum.integer64
#' @export
cummax.integer64 <- function(x) {
  ret <- .Call(C_cummax_integer64, x, double(length(x)))
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname cumsum.integer64
#' @export
cumsum.integer64 <- function(x) {
  ret <- .Call(C_cumsum_integer64, x, double(length(x)))
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname cumsum.integer64
#' @export
cumprod.integer64 <- function(x) {
  ret <- .Call(C_cumprod_integer64, x, double(length(x)))
  oldClass(ret) <- "integer64"
  ret
}

#' @rdname format.integer64
#' @export
is.na.integer64 <- function(x) {
  a <- attributes(x)
  ret <- .Call(C_isna_integer64, x, logical(length(x)))
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname format.integer64
#' @export
is.finite.integer64 <- function(x) !is.na(x)
#' @rdname format.integer64
#' @export
is.infinite.integer64 <- function(x) rep(FALSE, length(x))
#' @rdname format.integer64
#' @export
is.nan.integer64 <- function(x) rep(FALSE, length(x))


#' @rdname xor.integer64
#' @export
`==.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- logical(l)
  .Call(C_EQ_integer64, e1, e2, ret)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`!=.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- logical(l)
  .Call(C_NE_integer64, e1, e2, ret)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`<.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- logical(l)
  .Call(C_LT_integer64, e1, e2, ret)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`<=.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- logical(l)
  .Call(C_LE_integer64, e1, e2, ret)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`>.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- logical(l)
  .Call(C_GT_integer64, e1, e2, ret)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`>=.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  e1 <- as.integer64(e1)
  e2 <- as.integer64(e2)
  l1 <- length(e1)
  l2 <- length(e2)
  l <- if (l1 == 0L || l2 == 0L) 0L else max(l1, l2)
  ret <- logical(l)
  .Call(C_GE_integer64, e1, e2, ret)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`&.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  ret <- as.logical(e1) & as.logical(e2)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
`|.integer64` <- function(e1, e2) {
  a <- binattr(e1, e2)
  ret <- as.logical(e1) | as.logical(e2)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

#' @rdname xor.integer64
#' @export
xor.integer64 <- function(x, y) {
  a <- binattr(x, y)
  ret <- as.logical(x) != as.logical(y)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}


#' @rdname format.integer64
#' @export
`!.integer64` <- function(x) {
  a <- attributes(x)
  ret <- !as.logical(x)
  a$class <- minusclass(a$class, "integer64")
  attributes(ret) <- a
  ret
}

# as.vector.integer64 removed as requested by the CRAN maintainer
# as.vector.integer64 <- function(x, mode="any") {
  # ret <- NextMethod()
  # if (mode=="any")
    # oldClass(ret) <- "integer64"
  # ret
# }

# bug in R does not dispatch
#' @exportS3Method is.vector integer64
is.vector.integer64 <- function(x, mode="any") {
  cl <- minusclass(oldClass(x), "integer64")
  a <- setdiff(names(attributes(x)), c("class", "names"))
  is.na(match(mode, c("any", "integer64"))) && !length(cl) && !length(a)
}

#' @rdname as.character.integer64
#' @export
as.list.integer64 <- function(x, ...) {
  ret <- NextMethod("as.list", x, ...)
  .Call(C_as_list_integer64, ret)
}
truecluster/bit64 documentation built on April 12, 2025, 7:41 p.m.