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\title{A Byte Code Compiler for R}
\author{Luke Tierney\\
  Department of Statistics and Actuarial Science\\
  University of Iowa}

\begin{document}
\maketitle
This document presents the current implementation of the byte code
compiler for R.  The compiler produces code for a virtual machine that
is then executed by a virtual machine runtime system.  The virtual
machine is a stack based machine.  Thus instructions for the virtual
machine take arguments off a stack and may leave one or more results
on the stack.  Byte code objects consists of an integer vector
representing instruction opcodes and operands, and a generic vector
representing a constant pool. The compiler is implemented almost
entirely in R, with just a few support routines in C to manage
compiled code objects.

The virtual machine instruction set is designed to allow much of the
interpreter internals to be re-used.  In particular, for now the
mechanism for calling functions of all types from compiled code
remains the same as the function calling mechanism for interpreted
code.  There are opportunities for efficiency improvements through
using a different mechanism for calls from compiled functions to
compiled functions, or changing the mechanism for both interpreted and
compiled code; this will be explored in future work.

The style used by the compiler for building up code objects is
imperative: A code buffer object is created that contains buffers for
the instruction stream and the constant pool.  Instructions and
constants are written to the buffer as the compiler processes an
expression tree, and at the end a code object is constructed. A more
functional design in which each compiler step returns a modified code
object might be more elegant in principle, but it would be more
difficult to make efficient.

A multi-pass compiler in which a first pass produces an intermediate
representation, subsequent passes optimize the intermediate
representation, and a final pass produces actual code would also be
useful and might be able to produce better code.  A future version of
the compiler may use this approach.  But for now to keep things simple
a single pass is used.

%% **** Some peephole optimization is probably possible, and at least
%% **** some constant folding could be done on the bytecode, but more
%% **** sophisticated optimizations like inlining or R code would require
%% **** a more suitable intermediate representation.

%% **** I _think_ conversion from stack-based byte code to register-based
%% **** code is reasonably straight forward but I haven't thought it
%% **** through thoroughly yet.


\section{The compiler interface}
The compiler can be used either explicitly by calling certain
functions to carry out compilations, or implicitly by enabling
compilation to occur automatically at certain points.

\subsection{Explicit compilation}
The primary functions for explicit compilation are [[compile]],
[[cmpfun]], and [[cmpfile]].

The [[compile]] function compiles an expression and returns a byte code
object, which can then be passed to [[eval]].  A simple example is
\begin{verbatim}
> library(compiler)
> compile(quote(1+3))
<bytecode: 0x25ba070>
> eval(compile(quote(1+3)))
[1] 4
\end{verbatim}

A closure can be compiled using [[cmpfun]].  If the function [[f]] is
defined as
\begin{verbatim}
f <- function(x) {
    s <- 0.0
    for (y in x)
        s <- s + y
    s
}
\end{verbatim}
then a compiled version is produced by
\begin{verbatim}
fc <- cmpfun(f)
\end{verbatim}
We can then compare the performance of the interpreted and compiled
versions:
\begin{verbatim}
> x <- as.double(1 : 10000000)
> system.time(f(x))
   user  system elapsed 
  6.470   0.010   6.483 
> system.time(fc(x))
   user  system elapsed 
  1.870   0.000   1.865 
\end{verbatim}

A source file can be compiled with [[cmpfile]].  For now, the resulting
file has to then be loaded with [[loadcmp]].  In the future it may
make sense to allow [[source]] to either load a pre-compiled file or
to optionally compile while sourcing.

\subsection{Implicit compilation}
Implicit compilation can be used to compile packages as they are
installed or for just-in-time (JIT) compilation of functions or
expressions.  The mechanism for enabling these is experimental and
likely to change.

For now, compilation of packages requires the use of lazy loading and
can be enabled either by calling [[compilePKGS]] with argument
[[TRUE]] or by starting R with the environment variable
[[R_COMPILE_PKGS]] set to a positive integer value.  In a UNIX-like
environment, for example, installing a package with
\begin{verbatim}
env R_COMPILE_PKGS=1 R CMD INSTALL foo.tar.gz
\end{verbatim}
will compile the functions in the package as they are written to the
lazy loading data base.

If R is installed from source then the base and required packages can
be compiled on installation using
\begin{verbatim}
make bytecode
\end{verbatim}
This does not require setting the [[R_COMPILE_PKGS]] environment variable.

JIT compilation can be enabled from within R by calling [[enableJIT]]
with a non-negative integer argument or by starting R with the
environment variable [[R_ENABLE_JIT]] set to a non-negative integer.
The possible values of the argument to [[enableJIT]] and their
meanings are
\begin{itemize}
\item[0] turn off JIT
\item[1] compile closures before they are called the first time
\item[2] same as 1, plus compile closures before duplicating (useful
  for packages that store closures in lists, like lattice)
\item[3] same as 2, plus compile all [[for()]], [[while()]], and
  [[repeat()]] loops before executing.
\end{itemize}
R may initially be somewhat sluggish if JIT is enabled and base and
recommended packages have not been pre-compiled as almost everything
will initially need some compilation.


\section{The basic compiler}
This section presents the basic compiler for compiling R expressions
to byte code objects.


\subsection{The compiler top level}
R expressions consist of function calls, variable references, and
literal constants.  To create a byte code object representing an R
expression the compiler has to walk the expression tree and emit code
for the different node types in encounters. The code emitted may
depend on the environment in which the expression will be evaluated as
well as various compiler option settings.

The simplest function in the top level compiler interface is the
function [[compile]].  This function requires an expression argument
and takes two optional arguments: an environment and a list of
options. The default environment is the global environment.
<<[[compile]] function>>=
compile <- function(e, env = .GlobalEnv, options = NULL) {
    cenv <- makeCenv(env)
    cntxt <- make.toplevelContext(cenv, options)
    cntxt$env <- addCenvVars(cenv, findLocals(e, cntxt))
    genCode(e, cntxt)
}
@ %def compile
The supplied environment is converted into a compilation environment
data structure.  This compilation environment and any options
provided are then used to construct a compiler context.  The function
[[genCode]] is then used to generate a byte code object for the
expression and the constructed compilation context.

Compilation environments are described in Section
\ref{sec:environments} and compiler contexts in Section
\ref{sec:contexts}. The [[genCode]] function is defined as
<<[[genCode]] function>>=
genCode <- function(e, cntxt, gen = NULL) {
    cb <- make.codeBuf(e)
    if (is.null(gen))
        cmp(e, cb, cntxt)
    else
        gen(cb, cntxt)
    codeBufCode(cb)
}
@ %def genCode
[[genCode]] creates a code buffer, fills the code buffer, and then
calls [[codeBufCode]] to extract and return the byte code object.  In
the most common case [[genCode]] uses the low level recursive
compilation function [[cmp]], described in Section \ref{subsec:cmp},
to generate the code.  For added flexibility it can be given a
generator function that emits code into the code buffer based on the
provided context.  This is used in Section \ref{sec:loops} for ****.


\subsection{Basic code buffer interface}
Code buffers are used to accumulate the compiled code and related
constant values.  A code buffer [[cb]] is a list containing a number
of closures used to manipulate the content of the code buffer.  In
this section two closures are used, [[putconst]] and [[putcode]].

The closure [[cb$putconst]] is used to enter constants into the
constant pool.  It takes a single argument, an arbitrary R object to
be entered into the constant pool, and returns an integer index into
the pool.  The [[cb$putcode]] closure takes an instruction opcode and
any operands the opcode requires and emits them into the code buffer.
The operands are typically constant pool indices or labels, to be
introduced in Section \ref{sec:codebuf}.

As an example, the [[GETVAR]] instruction takes one operand, the index
in the constant pool of a symbol. The opcode for this instruction is
[[GETVAR.OP]].  The instruction retrieves the symbol from the constant
pool, looks up its value in the current environment, and pushes the
value on the stack.  If [[sym]] is a variable with value of a symbol,
then code to enter the symbol in the constant pool and emit an
instruction to get its value would be
<<example of emitting a [[GETVAR]] instruction>>=
ci <- cb$putconst(sym)
cb$putcode(GETVAR.OP, ci)
@ %def

The complete code buffer implementation is given in Section
\ref{sec:codebuf}.


\subsection{The recursive code generator}
\label{subsec:cmp}
The function [[cmp]] is the basic code generation function. It
recursively traverses the expression tree and emits code as it visits
each node in the tree.

Before generating code for an expression the function [[cmp]] attempts
to determine the value of the expression by constant folding using the
function [[constantFold]].  If constant folding is successful then
[[contantFold]] returns a named list containing a [[value]] element.
Otherwise it returns [[NULL]].  If constant folding is successful,
then the result is compiled as a constant.  Otherwise, the standard
code generation process is used.
%% **** comment on alternative of doing constant folding as an
%% **** optimization on the bytecode or an intermediate representation?

In the interpreter there are four types of objects that are not
treated as constants, i.e. as evaluating to themselves: function calls
of type [["language"]], variable references of type [["symbol"]],
promises, and byte code objects.  Neither promises nor byte code
objects should appear as literals in code so an error is signaled for
those.  The language, symbol, and constant cases are each handled by
their own code generators.
%% **** promises do appear in the expressions generated by the
%% **** interpreter for evaluating complex assignment expressions
<<generate code for expression [[e]]>>=
if (typeof(e) == "language")
    cmpCall(e, cb, cntxt)
else if (typeof(e) == "symbol")
    cmpSym(e, cb, cntxt, missingOK)
else if (typeof(e) == "bytecode")
    cntxt$stop(gettext("cannot compile byte code literals in code"),
               cntxt)
else if (typeof(e) == "promise")
    cntxt$stop(gettext("cannot compile promise literals in code"),
               cntxt)
else
    cmpConst(e, cb, cntxt)
@ 
The function [[cmp]] is then defined as
<<[[cmp]] function>>=
cmp <- function(e, cb, cntxt, missingOK = FALSE) {
    ce <- constantFold(e, cntxt)
    if (is.null(ce)) {
        <<generate code for expression [[e]]>>
    }
    else
        cmpConst(ce$value, cb, cntxt)
}
@ %def cmp
The call code generator [[cmpCall]] will recursively call [[cmp]].
%% **** should promises/byte code produce compiler errors or runtime errors??


\subsection{Compiling constant expressions}
The constant code generator [[cmpConst]] is the simplest of the three
generators. A simplified generator can be defined as
<<simplified [[cmpConst]] function>>=
cmpConst <- function(val, cb, cntxt) {
    ci <- cb$putconst(val)
    cb$putcode(LDCONST.OP, ci)
    if (cntxt$tailcall) cb$putcode(RETURN.OP)
}
@ %def cmpConst
This function enters the constant in the constant pool using the
closure [[cb$putconst]].  The value returned by this closure is an
index for the constant in the constant pool.  Then the code generator
emits an instruction to load the constant at the specified constant
pool index and push it onto the stack.  If the expression appears in
tail position then a [[RETURN]] instruction is emitted as well.
%% **** explain tail position here??

Certain constant values, such as [[TRUE]], [[FALSE]], and [[NULL]]
appear very often in code. It may be useful to provide and use special
instructions for loading these. The resulting code will have slightly
smaller constant pools and may be a little faster, though the
difference is likely to be small.  A revised definition of
[[cmpConst]] that makes use of instructions for loading these
particular values is given by
<<[[cmpConst]] function>>=
cmpConst <- function(val, cb, cntxt) {
    if (identical(val, NULL))
        cb$putcode(LDNULL.OP)
    else if (identical(val, TRUE))
        cb$putcode(LDTRUE.OP)
    else if (identical(val, FALSE))
        cb$putcode(LDFALSE.OP)
    else {
        ci <- cb$putconst(val)
        cb$putcode(LDCONST.OP, ci)
    }
    if (cntxt$tailcall) cb$putcode(RETURN.OP)
}
@ %def cmpConst
It might be useful to handle other constants in a similar way, such as
[[NA]] or small integer values; this may be done in the future.
%% **** check out if small integers is worth doing.
%% **** mention peephole optimization as alternative

The implementation marks values in the constant pool as read-only after they
are loaded, by setting the [[NAMED]] field to 2. In the past, all values
were duplicated as they were retrieved from the constant pool as a
precaution against bad package code: several packages in the wild assumed
that an expression [[TRUE]], for example, appearing in code would result in a
freshly allocated value that could be freely modified in [[.C]] calls.


\subsection{Compiling variable references}
The function [[cmpSym]] handles compilation of variable
references. For standard variables this involves entering the symbol
in the constant pool, emitting code to look up the value of the
variable at the specified constant pool location in the current
environment, and, if necessary, emitting a [[RETURN]] instruction.

In addition to standard variables there is the ellipsis variable
[[...]]  and the accessors [[..1]], [[..2]], and so on that need to be
considered. The ellipsis variable can only appear as an argument in
function calls, so [[cmp]], like the interpreter [[eval]] itself,
should not encounter it. The interpreter signals an error if it does
encounter a [[...]] variable, and the compiler emits code that does
the same at runtime.  The compiler also emits a warning at compile
time.  Variables representing formal parameters may not have values
provided in their calls, i.e. may have missing values. In some cases
this should signal an error; in others the missing value can be passed
on (for example in expressions of the form [[x[]]]). To support this,
[[cmpSym]] takes an optional argument for allowing missing argument
values.
<<[[cmpSym]] function>>=
cmpSym <- function(sym, cb, cntxt, missingOK = FALSE) {
    if (sym == "...") {
        notifyWrongDotsUse("...", cntxt)
        cb$putcode(DOTSERR.OP)
    }
    else if (is.ddsym(sym)) {
        <<emit code for [[..n]] variable references>>
    }
    else {
        <<emit code for standard variable references>>
    }
}
@ %def cmpSym

References to [[..n]] variables are also only appropriate when a
[[...]] variable is available, so a warning is given if that is not
the case. The virtual machine provides instructions [[DDVAL]] and
[[DDVAL_MISSOK]] for the case where missing arguments are not allowed
and for the case where they are, and the appropriate instruction is
used based on the [[missingOK]] argument to [[cmpSym]].
<<emit code for [[..n]] variable references>>=
if (! findLocVar("...", cntxt))
    notifyWrongDotsUse(sym, cntxt)
ci <- cb$putconst(sym)
if (missingOK)
    cb$putcode(DDVAL_MISSOK.OP, ci)
else
    cb$putcode(DDVAL.OP, ci)
if (cntxt$tailcall) cb$putcode(RETURN.OP)
@ %def

There are also two instructions available for obtaining the value of a
general variable from the current environment, one that allows missing
values and one that does not.
<<emit code for standard variable references>>=
if (! findVar(sym, cntxt))
    notifyUndefVar(sym, cntxt)
ci <- cb$putconst(sym)
if (missingOK)
    cb$putcode(GETVAR_MISSOK.OP, ci)
else
    cb$putcode(GETVAR.OP, ci)
if (cntxt$tailcall) cb$putcode(RETURN.OP)
@ %def

For now, these instructions only take an index in the constant pool
for the symbol as operands, not any information about where the
variable can be found within the environment.  This approach to
obtaining the value of variables requires a search of the current
environment for every variable reference.  In a less dynamic language
it would be possible to compute locations of variable bindings within
an environment at compile time and to choose environment
representations that allow constant time access to any variable's
value.  Since bindings in R can be added or removed at runtime this
would require a semantic change that would need some form of
declaration to make legitimate. Another approach that may be worth
exploring is some sort of caching mechanism in which the location of
each variable is stored when it is first found by a full search, and
that cached location is used until an event occurs that forces
flushing of the cache. If such events are rare, as they typically are,
then this may be effective.
%% **** need to look into caching strategies

%% **** looks like a simple cache of the local frame speeds up sum and
%% **** Neal's em by about 10% (just lookup, not assignment -- with
%% **** assignment should be a bit better)

%% **** Is it really necessary for bcEval to save/restore stack tops?
%% **** Shouldn't that happen automatically?
%% **** Is it possible to have closure calling stay in the same bc?
%% **** maybe at least for promises?


\subsection{Compiling function calls}
Conceptually, the R function calling mechanism uses lazy evaluation of
arguments.  Thus calling a function involves three steps:
\begin{itemize}
\item finding the function to call
\item packaging up the argument expressions into deferred evaluation
  objects, or promises
\item executing the call
\end{itemize}
Code for this process is generated by the function [[cmpCall]]. A
simplified version is defined as
<<simplified [[cmpCall]] function>>=
cmpCall <- function(call, cb, cntxt) {
    cntxt <- make.callContext(cntxt, call)
    fun <- call[[1]]
    args <- call[-1]
    if (typeof(fun) == "symbol")
        cmpCallSymFun(fun, args, call, cb, cntxt)
    else
        cmpCallExprFun(fun, args, call, cb, cntxt)
}
@ %def cmpCall

Call expressions in which the function is represented by a symbol are
compiled by [[cmpCallSymFun]].  This function emits a [[GETFUN]]
instruction and then compiles the arguments.
<<[[cmpCallSymFun]] function>>=
cmpCallSymFun <- function(fun, args, call, cb, cntxt) {
    ci <- cb$putconst(fun)
    cb$putcode(GETFUN.OP, ci)
    <<compile arguments and emit [[CALL]] instruction>>
}
@ %def cmpCallSymFun
The [[GETFUN]] instruction takes a constant pool index of the symbol
as an operand, looks for a function binding to the symbol in the
current environment, places it on the stack, and prepares the stack
for handling function call arguments.
%% **** need a fun cache and a var cache???

Argument compilation is carried out by the function [[cmpCallArgs]],
presented in Section \ref{subsec:callargs}, and is followed by
emitting code to execute the call and, if necessary, return a result.
<<compile arguments and emit [[CALL]] instruction>>=
cmpCallArgs(args, cb, cntxt)
ci <- cb$putconst(call)
cb$putcode(CALL.OP, ci)
if (cntxt$tailcall) cb$putcode(RETURN.OP)
@ %def
The call expression itself is stored in the constant pool and is
available to the [[CALL]] instruction.

Calls in which the function is represented by an expression other than
a symbol are handled by [[cmpCallExprFun]].  This emits code to
evaluate the expression, leaving the value in the stack, and then
emits a [[CHECKFUN]] instruction.  This instruction checks that the
value on top of the stack is a function and prepares the stack for
receiving call arguments.  Generation of argument code and the
[[CALL]] instruction are handled as for symbol function calls.
<<[[cmpCallExprFun]] function>>=
cmpCallExprFun <- function(fun, args, call, cb, cntxt) {
    ncntxt <- make.nonTailCallContext(cntxt)
    cmp(fun, cb, ncntxt)
    cb$putcode(CHECKFUN.OP)
    <<compile arguments and emit [[CALL]] instruction>>
}
@ %def cmpCallExprFun

The actual definition of [[cmpCall]] is a bit more complex than the
simplified one given above:
<<[[cmpCall]] function>>=
cmpCall <- function(call, cb, cntxt) {
    cntxt <- make.callContext(cntxt, call)
    fun <- call[[1]]
    args <- call[-1]
    if (typeof(fun) == "symbol") {
        if (! tryInline(call, cb, cntxt)) {
            <<check the call to a symbol function>>
	    cmpCallSymFun(fun, args, call, cb, cntxt)
        }
    }
    else {
        <<hack for handling [[break()]] and [[next()]] expressions>>
        cmpCallExprFun(fun, args, call, cb, cntxt)
    }
}
@ %def cmpCall
The main addition is the use of a [[tryInline]] function which tries
to generate more efficient code for particular functions.  This
function returns [[TRUE]] if it has handled code generation and
[[FALSE]] if it has not.  Code will be generated by the inline
mechanism if inline handlers for the particular function are available
and the optimization level permits their use.  Details of the inlining
mechanism are given in Section \ref{sec:inlining}.

In addition to the inlining mechanism, some checking of the call is
carried out for symbol calls. The checking code is
<<check the call to a symbol function>>=
if (findLocVar(fun, cntxt))
    notifyLocalFun(fun, cntxt)
else {
    def <- findFunDef(fun, cntxt)
    if (is.null(def))
        notifyUndefFun(fun, cntxt)
    else
        checkCall(def, call, function(w) notifyBadCall(w, cntxt))
}
@ 
and [[checkCall]] is defined as
<<[[checkCall]] function>>=
## **** clean up to use tryCatch
## **** figure out how to handler multi-line deparses
## ****     e.g. checkCall(`{`, quote({}))
## **** better design would capture error object, wrap it up, and pass it on
checkCall <- function(def, call, signal = warning) {
    if (typeof(def) %in% c("builtin", "special"))
        def <- args(def)
    if (typeof(def) != "closure" || any.dots(call))
        NA
    else {
        old <- getOption("show.error.messages")
        if (is.null(old)) old <- TRUE
        options(show.error.messages=FALSE)
        msg <- try({match.call(def, call); NULL})
        options(show.error.messages=old)
        if (! is.null(msg)) {
            msg <- sub("\n$", "", sub("^E.*: ", "", msg))
            emsg <- gettextf("possible error in '%s': %s",
                             deparse(call, 20)[1], msg)
            if (! is.null(signal)) signal(emsg)
            FALSE
        }
        else TRUE
    }
}
@ %def checkCall

Finally, for calls where the function is an expression a hack is
currently needed for dealing with the way the parser currently parses
expressions of the form [[break()]] and [[next()]].  To be able to
compile as many [[break]] and [[next]] calls as possible as simple
[[GOTO]] instructions these need to be handled specially to avoid
placing things on the stack.  A better solution would probably be to
modify the parser to make expressions of the form [[break()]] be
syntax errors.
<<hack for handling [[break()]] and [[next()]] expressions>>=
## **** this hack is needed for now because of the way the
## **** parser handles break() and next() calls
if (typeof(fun) == "language" && typeof(fun[[1]]) == "symbol" &&
    as.character(fun[[1]]) %in% c("break", "next"))
    return(cmp(fun, cb, cntxt))
@ 


\subsection{Compiling call arguments}
\label{subsec:callargs}
Function calls can contain four kinds of arguments:
\begin{itemize}
\item missing arguments
\item [[...]] arguments
\item general expressions
\end{itemize}
In the first and third cases the arguments can also be named. The
argument compilation function [[cmpCallArgs]] loops over the argument
lists and handles each of the three cases, in addition to signaling
errors for arguments that are literal bytecode or promise objects:
<<[[cmpCallArgs]] function>>=
cmpCallArgs <- function(args, cb, cntxt) {
    names <- names(args)
    pcntxt <- make.promiseContext(cntxt)
    for (i in seq_along(args)) {
        a <- args[[i]]
        n <- names[[i]]
        <<compile missing argument>>
        <<compile [[...]] argument>>
        <<signal an error for promise or bytecode argument>>
        <<compile a general argument>>
    }
}
@ %def cmpCallArgs

The missing argument case is handled by
<<compile missing argument>>=
if (missing(a)) { ## better test for missing??
    cb$putcode(DOMISSING.OP)
    cmpTag(n, cb)
}
@ %def
Computations on the language related to missing arguments are tricky.
The use of [[missing]] is a little odd, but for now at least it does
work.

An ellipsis argument [[...]] is handled by the [[DODOTS]] instruction:
<<compile [[...]] argument>>=
else if (is.symbol(a) && a == "...") {
    if (! findLocVar("...", cntxt))
        notifyWrongDotsUse("...", cntxt)
    cb$putcode(DODOTS.OP)
}
@ %def
A warning is issued if no [[...]] argument is visible.

As in [[cmp]], errors are signaled for literal bytecode or promise
values as arguments.
<<signal an error for promise or bytecode argument>>=
else if (typeof(a) == "bytecode")
    cntxt$stop(gettext("cannot compile byte code literals in code"),
               cntxt)
else if (typeof(a) == "promise")
    cntxt$stop(gettext("cannot compile promise literals in code"),
               cntxt)
@ %def

A general non-constant argument expression is compiled to a separate
byte code object which is stored in the constant pool.  The compiler
then emits a [[MAKEPROM]] instruction that uses the stored code
object. Promises are not needed for literal constant arguments as
these are self-evaluating.  Within the current implementation both the
evaluation process and use of [[substitute]] will work properly if
constants are placed directly in the argument list rather than being
wrapped in promises. This could also be done in the interpreter,
though the benefit is less clear as a runtime determination of whether
an argument is a constant would be needed.  This may still be cheap
enough compared to the cost of allocating a promise to be worth doing.
Constant folding in [[cmp]] may also produce more constants, but
promises are needed in this case in order for [[substitute]] to work
properly.  These promises could be created as evaluated promises,
though it is not clean how much this would gain.
<<compile a general argument>>=
else {
    if (is.symbol(a) || typeof(a) == "language") {
        ci <- cb$putconst(genCode(a, pcntxt))
        cb$putcode(MAKEPROM.OP, ci)
    }
    else
        cmpConstArg(a, cb, cntxt)
    cmpTag(n, cb)
}
@ %def
%% **** look into using evaluated promises for constant folded arguments
%% **** then we would use a variant of this:
% else {
%     ca <- constantFold(a, cntxt)
%     if (is.null(ca)) {
%         if (is.symbol(a) || typeof(a) == "language") {
%             ci <- cb$putconst(genCode(a, pcntxt))
%             cb$putcode(MAKEPROM.OP, ci)
%         }
%         else
%             cmpConstArg(a, cb, cntxt)
%     }
%     else
%         cmpConstArg(ca$value, cb, cntxt)
%     cmpTag(n, cb)
% }

For calls to closures the [[MAKEPROM]] instruction retrieves the code
object, creates a promise from the code object and the current
environment, and pushes the promise on the argument stack. For calls
to functions of type [[BULTIN]] the [[MAKEPROM]] instruction actually
executes the code object in the current environment and pushes the
resulting value on the stack.  For calls to functions of type
[[SPECIAL]] the [[MAKEPROM]] instruction does nothing as these calls use
only the call expression.

Constant arguments are compiled by [[cmpConstArg]].  Again there are
special instructions for the common special constants [[NULL]],
[[TRUE]], and [[FALSE]].
<<[[cmpConstArg]]>>=
cmpConstArg <- function(a, cb, cntxt) {
    if (identical(a, NULL))
        cb$putcode(PUSHNULLARG.OP)
    else if (identical(a, TRUE))
        cb$putcode(PUSHTRUEARG.OP)
    else if (identical(a, FALSE))
        cb$putcode(PUSHFALSEARG.OP)
    else {
        ci <- cb$putconst(a)
        cb$putcode(PUSHCONSTARG.OP, ci)
    }
}
@ %def cmpConstArg

Code to install names for named arguments is generated by [[cmpTag]]:
<<[[cmpTag]] function>>=
cmpTag <- function(n, cb) {
    if (! is.null(n) && n != "") {
        ci <- cb$putconst(as.name(n))
        cb$putcode(SETTAG.OP, ci)
    }
}
@ %def cmpTag

The current implementation allocates a linked list of call arguments,
stores tags in the list cells, and allocates promises. Alternative
implementations that avoid some or all allocation are worth exploring.
Also worth exploring is having an instruction specifically for calls that
do not require matching of named arguments to formal arguments, since
cases that use only order of arguments, not names, are quite common
and are known at compile time. In the case of calls to functions with
definitions known at compile time matching of named arguments to
formal ones could also be done at compile time.


\subsection{Discussion}
The framework presented in this section, together with some support
functions, is actually able to compile any legal R code.  But this is
somewhat deceptive. The R implementation, and the [[CALL]] opcode,
support three kinds of functions: closures (i.e. R-level functions),
primitive functions of type [[BUILTIN]], and primitive functions of
type [[SPECIAL]].  Primitives of type [[BUILTIN]] always evaluate
their arguments in order, so creating promises is not necessary and in
fact the [[MAKEPROM]] instruction does not do so --- if the function
to be called is a [[BUILTIN]] then [[MAKEPROM]] runs the code for
computing the argument in the current environment and pushes the value
on the stack.  On the other hand, primitive functions of type
[[SPECIAL]] use the call expression and evaluate bits of it as
needed. As a result, they will be running interpreted code.  Since
core functions like the sequencing function [[{]] and the conditional
  evaluation function [[if]] are of type [[SPECIAL]] this means most
  non-trivial code will be run by the standard interpreter.  This will
  be addressed by defining inlining rules that allow functions like
  [[{]] and [[if]] to be compiled properly.

  
\section{The code buffer}
\label{sec:codebuf}
The code buffer is a collection of closures that accumulate code and
constants in variables in their defining environment.  For a code
buffer [[cb]] the closures [[cb$putcode]] and [[cb$putconst]] write an
instruction sequence and a constant, respectively, into the code
buffer. The closures [[cb$code]] and [[cb$consts]] extract the code
vector and the constant pool.

The function [[make.codeBuf]] creates a set of closures for managing
the instruction stream buffer and the constant pool buffer and returns
a list of these closures for use by the compilation functions.  In
addition, the expression to be compiled into the code buffer is stored
as the first constant in the constant pool; this can be used to
retrieve the source code for a compiled expression.
<<[[make.codeBuf]] function>>=
make.codeBuf <- function(expr) {
    <<instruction stream buffer implementation>>
    <<constant pool buffer implementation>>
    <<label management interface>>
    cb <- list(code = getcode,
               const = getconst,
               putcode = putcode,
               putconst = putconst,
               makelabel = makelabel,
               putlabel = putlabel,
	       patchlabels = patchlabels)
    cb$putconst(expr) ## insert expression as first constant.
    cb
}
@ %def make.codeBuf

The instruction stream buffer uses a list structure and a count of
elements in use, and doubles the size of the list to make room for new
code when necessary.  By convention the first entry is a byte code
version number; if the interpreter sees a byte code version number it
cannot handle then it falls back to interpreting the uncompiled
expression. The doubling strategy is needed to avoid quadratic
compilation times for large instruction streams.
<<instruction stream buffer implementation>>=
codeBuf <- list(.Internal(bcVersion()))
codeCount <- 1
putcode <- function(...) {
    new <- list(...)
    newLen <- length(new)
    while (codeCount + newLen > length(codeBuf))
        codeBuf <<- c(codeBuf, vector("list", length(codeBuf)))
    codeBuf[(codeCount + 1) : (codeCount + newLen)] <<- new
    codeCount <<- codeCount + newLen
}
getcode <- function() as.integer(codeBuf[1 : codeCount])
@ 

The constant pool is accumulated into a list buffer.  The zero-based
index of the constant in the pool is returned by the insertion
function.  Values are only entered once; if a value is already in the
pool, as determined by [[identical]], its existing index is returned.
Again a size-doubling strategy is used for the buffer.  [[.Internal]]
functions are used both for performance reasons and to prevent
duplication of the constants.
<<constant pool buffer implementation>>=
constBuf <- vector("list", 1)
constCount <- 0
putconst <- function(x) {
    if (constCount == length(constBuf))
        constBuf <<- .Internal(growconst(constBuf))
    i <- .Internal(putconst(constBuf, constCount, x))
    if (i == constCount)
        constCount <<- constCount + 1
    i
}
getconst <- function()
    .Internal(getconst(constBuf, constCount))
@ %def


Labels are used for identifying targets for branching instruction.  The
label management interface creates new labels with [[makelabel]] as
character strings that are unique within the buffer.  These labels can
then be included as operands in branching instructions. The
[[putlabel]] function records the current code position as the value
of the label.
<<label management interface>>=
idx <- 0
labels <- vector("list")
makelabel <- function() { idx <<- idx + 1; paste0("L", idx) }
putlabel <- function(name) labels[[name]] <<- codeCount
@ 

Once code generation is complete the symbolic labels in the code
stream need to be converted to numerical offset values.  This is done
by [[patchlabels]].  Labels can appear directly in the instruction
stream and in lists that have been placed in the instruction stream;
this is used for the [[SWITCH]] instruction.
<<label management interface>>=
patchlabels <- function() {
    offset <- function(lbl) {
        if (is.null(labels[[lbl]]))
            stop(gettextf("no offset recorded for label \"%s\"", lbl),
                 domain = NA)
        labels[[lbl]]
    }
    for (i in 1 : codeCount) {
        v <- codeBuf[[i]]
        if (is.character(v))
            codeBuf[[i]] <<- offset(v)
        else if (typeof(v) == "list") {
            off <- as.integer(lapply(v, offset))
            ci <- putconst(off)
            codeBuf[[i]] <<- ci
        }
    }
}
@ %def

The contents of the code buffer is extracted into a code object by
calling [[codeBufCode]]:
<<[[codeBufCode]] function>>=
codeBufCode <- function(cb) {
    cb$patchlabels()
    .Internal(mkCode(cb$code(), cb$const()))
}
@ %def codeBufCode


\section{Compiler contexts}
\label{sec:contexts}
The compiler context object [[cntxt]] carries along information about
whether the expression appears in tail position and should be followed
by a return or, whether the result is ignored, or whether the
expression is contained in a loop.  The context object also contains
current compiler option settings as well as functions used to issue
warnings or signal errors.


\subsection{Top level contexts}
Top level compiler functions start by creating a top level context.
The constructor for top level contexts takes as arguments the current
compilation environment, described in Section \ref{sec:environments},
and a list of option values used to override default option settings.
Top level expressions are assumed to be in tail position, so the
[[tailcall]] field is initialized as [[TRUE]]. The [[needRETURNJMP]]
specifies whether a call to the [[return]] function can use the
[[RETURN]] instruction or has to use a [[longjmp]] via the
[[RETURNJMP]] instruction.  Initially using a simple [[RETURN]] is
safe; this is set set to [[TRUE]] when compiling promises ad certain
loops where [[RETURNJMP]] is needed.
<<[[make.toplevelContext]] function>>=
make.toplevelContext <- function(cenv, options = NULL)
    structure(list(tailcall = TRUE,
		   needRETURNJMP = FALSE,
                   env = cenv,
                   optimize = getCompilerOption("optimize", options),
                   suppressAll = getCompilerOption("suppressAll", options),
                   suppressUndefined = getCompilerOption("suppressUndefined",
                                                         options),
                   call = NULL,
                   stop = function(msg, cntxt)
                       stop(simpleError(msg, cntxt$call)),
                   warn = function(x, cntxt) cat(paste("Note:", x, "\n"))),
              class = "compiler_context")
@ %def make.toplevelContext
Errors are signaled using a version of [[stop]] that uses the current
call in the compilation context.  The default would be to use the call
in the compiler code where the error was raised, and that would not be
meaningful to the end user.  Ideally [[warn]] should do something
similar and also use the condition system, but for now it just prints
a simple message to standard output.
%% **** look into adding source info to errors/warnings
%% **** comment on class of context object


\subsection{Other compiler contexts}
The [[cmpCall]] function creates a new context for each call it
compiles.  The new context is the current context with the [[call]]
entry replaced by the current call --- this is be useful for issuing
meaningful warning and error messages.
<<[[make.callContext]] function>>=
make.callContext <- function(cntxt, call) {
    cntxt$call <- call
    cntxt
}
@ %def make.callContext

Non-tail-call contexts are used when a value is being computed for use
in a subsequent computation. The constructor returns a new context
that is the current context with the tailcall field set to [[FALSE]].
<<[[make.nonTailCallContext]] function>>=
make.nonTailCallContext <- function(cntxt) {
    cntxt$tailcall <- FALSE
    cntxt
}
@ %def make.nonTailCallContext
A no value context is used in cases where the computed value will be
ignored.  For now this is identical to a non-tail-call context, but it
may eventually be useful to distinguish the two situations. This is
used mainly for expressions other than the final one in [[{]] calls
  and for compiling the bodies of loops.
%% **** can avoid generating push/pop pairs if novalue = TRUE is used
%% **** might simplify tailcall/RETURN stuff??
<<[[make.noValueContext]] function>>=
make.noValueContext <- function(cntxt) {
    cntxt$tailcall <- FALSE
    cntxt
}
@ %def make.noValueContext

The compiler context for compiling a function is a new toplevel
context using the function environment and the current compiler
options settings.
%% **** copy other compiler options; maybe cntxt$options$optimize??
<<[[make.functionContext]] function>>=
make.functionContext <- function(cntxt, forms, body) {
    nenv <- funEnv(forms, body, cntxt)
    ncntxt <- make.toplevelContext(nenv)
    ncntxt$optimize <- cntxt$optimize
    ncntxt$suppressAll <- cntxt$suppressAll
    ncntxt$suppressUndefined <- cntxt$suppressUndefined
    ncntxt
}
@ %def make.functionContext

The context for compiling the body of a loop is a no value context
with the loop information available.
<<[[make.loopContext]] function>>=
make.loopContext <- function(cntxt, loop.label, end.label) {
    ncntxt <- make.noValueContext(cntxt)
    ncntxt$loop <- list(loop = loop.label, end = end.label, gotoOK = TRUE)
    ncntxt
}
@ %def make.loopContext

The initial loop context allows [[break]] and [[next]] calls to be
implemented as [[GOTO]] instructions.  This is OK for calls that are
in top level position relative to the loop.  Calls that occur in
promises or in other contexts where the stack has changed from the
loop top level state need stack unwinding and cannot be implemented as
[[GOTO]] instructions. These should should be compiled with contexts
that have the [[loop$gotoOK]] field set to [[FALSE]].  The promise
context does this for promises and the argument context for other
settings.  The promise context also sets [[needRETURNJMP]] to [[TRUE]]
since a [[return]] call that is triggered by forcing a promise
requires a [[longjmp]] to return from the appropriate function.
<<[[make.argContext]] function>>=
make.argContext <- function(cntxt) {
    cntxt$tailcall <- FALSE
    if (! is.null(cntxt$loop))
        cntxt$loop$gotoOK <- FALSE
    cntxt
}
@ %def make.argContext
<<[[make.promiseContext]] function>>=
make.promiseContext <- function(cntxt) {
    cntxt$tailcall <- TRUE
    cntxt$needRETURNJMP <- TRUE
    if (! is.null(cntxt$loop))
        cntxt$loop$gotoOK <- FALSE
    cntxt
}
@ %def make.promiseContext
%% pull out gotoOK chunk


\subsection{Compiler options}
Default compiler options are maintained in an environment.  For now,
the supported options are [[optimize]], which is initialized to level
2, and two options for controlling compiler messages.  The
[[suppressAll]] option, if [[TRUE]], suppresses all notifications.
The [[suppressUndefined]] option can be [[TRUE]] to suppress all
notifications about undefined variables and functions, or it can be a
character vector of the names of variables for which warnings should
be suppressed.
<<compiler options data base>>=
compilerOptions <- new.env(hash = TRUE, parent = emptyenv())
compilerOptions$optimize <- 2
compilerOptions$suppressAll <- FALSE
compilerOptions$suppressUndefined <-
    c(".Generic", ".Method", ".Random.seed", ".self")
@ %def compilerOptions

Options are retrieved with the [[getCompilerOption]] function.
<<[[getCompilerOption]] function>>=
getCompilerOption <- function(name, options = NULL) {
    if (name %in% names(options))
        options[[name]]
    else
        get(name, compilerOptions)
}
@ %def getCompilerOption

The [[suppressAll]] function determines whether a context has its
[[supressAll]] property set to [[TRUE]].
<<[[suppressAll]] function>>=
suppressAll <- function(cntxt)
    identical(cntxt$suppressAll, TRUE)
@ %def suppressAll
The [[suppressUndef]] function determines whether undefined variable
or function definition notifications for a particular variable should
be suppressed in a particular compiler context.
<<[[suppressUndef]] function>>=
suppressUndef <- function(name, cntxt) {
    if (identical(cntxt$suppressAll, TRUE))
        TRUE
    else {
        suppress <- cntxt$suppressUndefined
        if (is.null(suppress))
            FALSE
        else if (identical(suppress, TRUE))
            TRUE
        else if (is.character(suppress) && as.character(name) %in% suppress)
            TRUE
        else FALSE
    }
}
@ %def suppressUndef

At some point we will need mechanisms for setting default options from
the interpreter and in package meta-data. A declaration mechanism for
adjusting option settings locally will also be needed.


\subsection{Compiler notifications}
Compiler notifications are currently sent by calling the context's
[[warn]] function, which in turn prints a message to standard output.
It would be better to use an approach based on the condition system,
and this will be done eventually.  The use of separate notification
functions for each type of issue signaled is a step in this direction.

Undefined function and undefined variable notifications are issued by
[[notifyUndefFun]] and [[notifyUndefVar]].  These both use
[[suppressUndef]] to determine whether the notification should be
suppressed in the current context.
<<[[notifyUndefFun]] function>>=
notifyUndefFun <- function(fun, cntxt) {
    if (! suppressUndef(fun, cntxt)) {
        msg <- gettextf("no visible global function definition for '%s'",
                        as.character(fun))
        cntxt$warn(msg, cntxt)
    }
}
@ %def notifyUndefFun
<<[[notifyUndefVar]] function>>=
notifyUndefVar <- function(var, cntxt) {
    if (! suppressUndef(var, cntxt)) {
        msg <- gettextf("no visible binding for global variable '%s'",
                        as.character(var))
        cntxt$warn(msg, cntxt)
    }
}
@ %def notifyUndefVar

Codetools currently optionally notifies about use of local
functions. This is of course not an error but may sometimes be the
result of a mis-spelling.  For now the compiler does not notify about
these, but this could be changed by redefining [[notifyLocalFun]] .
<<[[notifyLocalFun]] function>>=
notifyLocalFun <- function(fun, cntxt) {
    if (! suppressAll(cntxt))
        NULL
}
@ %def notifyLocalFun

Warnings about possible improper use of [[...]] and [[..n]] variables
are sent by [[notifyWrongDotsUse]].
<<[[notifyWrongDotsUse]] function>>=
notifyWrongDotsUse <- function(var, cntxt) {
    if (! suppressAll(cntxt))
        cntxt$warn(paste(var, "may be used in an incorrect context"), cntxt)
}
@ %def notifyWrongDotsUse

Wrong argument count issues are signaled by [[notifyWrongArgCount]].
<<[[notifyWrongArgCount]] function>>=
notifyWrongArgCount <- function(fun, cntxt) {
    if (! suppressAll(cntxt))
        cntxt$warn(gettextf("wrong number of arguments to '%s'",
                            as.character(fun)),
                   cntxt)
}
@ %def notifyWrongArgCount
Other issues with calls that do not match their definitions are
signaled by [[notifyBadCall]].  Ideally these should be broken down
more finely, but that would require some rewriting of the error
signaling in [[match.call]].
<<[[notifyBadCall]] function>>=
notifyBadCall <- function(w, cntxt) {
    if (! suppressAll(cntxt))
        cntxt$warn(w, cntxt)
}
@ %def notifyBadCall

[[break]] or [[next]] calls that occur in a context where no loop is
visible will most likely result in runtime errors, and
[[notifyWrongBreakNext]] is used to signal such cases.
<<[[notifyWrongBreakNext]] function>>=
notifyWrongBreakNext <- function(fun, cntxt) {
    if (! suppressAll(cntxt)) {
        msg <- paste(fun, "may be used in wrong context: no loop is visible")
        cntxt$warn(msg, cntxt)
    }
}
@ %def notifyWrongBreakNext

Several issues can arise in assignments.  For super-assignments a
target variable should be defined; otherwise there will be a runtime
warning.
<<[[notifyNoSuperAssignVar]] function>>=
notifyNoSuperAssignVar <- function(symbol, cntxt) {
    if (! suppressAll(cntxt)) {
        msg <- gettextf("no visible binding for '<<-' assignment to '%s'",
                        as.character(symbol))
        cntxt$warn(msg, cntxt)
    }
}
@ %def notifyNoSuperAssignVar
If the compiler detects an invalid function in a complex assignment
then this is signaled at compile time; a corresponding error would
occur at runtime.
%% **** should put function/call into message
<<[[notifyBadAssignFun]] function>>=
notifyBadAssignFun <- function(fun, cntxt) {
    if (! suppressAll(cntxt))
        cntxt$warn(gettext("invalid function in complex assignment"))
}
@ %def notifyBadAssignFun

In [[switch]] calls it is an error if a character selector argument is
used and there are multiple default alternatives.  The compiler
signals a possible problem with [[notifyMultipleSwitchDefaults]] if
there are some named cases but more than one unnamed ones.
<<[[notifyMultipleSwitchDefaults]] function>>=
notifyMultipleSwitchDefaults <- function(ndflt, cntxt)
    if (! suppressAll(cntxt))
        cntxt$warn(gettext("more than one default provided in switch() call"),
                   cntxt)
@ %def notifyMultipleSwitchDefaults

<<[[notifyNoSwitchcases]] function>>=
notifyNoSwitchcases <- function(cntxt)
    if (! suppressAll(cntxt))
        cntxt$warn(gettext("'switch' with no alternatives"), cntxt)
@ %def notifyNoSwitchcases

\section{Compilation environments}
\label{sec:environments}
%% **** lambda lifting/eliminating variables not captured
%% **** defer SETVAR until needed; avoid GETVAR if still in register
%% **** Could preserve semantics by pre-test to check that fun in env
%% **** is inlined one.  Would need to make efficient somehow, e.g
%% **** increment counter each time one of inlined names is assigned
%% **** to and only check when count has changed.
At this point the compiler will essentially use the interpreter to
evaluate an expression of the form
\begin{verbatim}
if (x > 0) log(x) else 0
\end{verbatim}
since [[if]] is a [[SPECIAL]] function. To make further improvements
the compiler needs to be able to implement the [[if]] expression in
terms of conditional and unconditional branch instructions.  It might
then also be useful to implement [[>]] and [[log]] with special
virtual machine instructions.  To be able to do this, the compiler
needs to know that [[if]], [[>]], and [[log]] refer to the standard
versions of these functions in the base package.  While this is very
likely, it is not guaranteed.

R is a very dynamic language.  Functions defined in the base and other
packages could be shadowed at runtime by definitions in loaded user
packages or by local definitions within a function.  It is even
possible for user code to redefine the functions in the base package,
though this is discouraged by binding locking and would be poor
programming practice.  Finally, it is possible for functions called
prior to evaluating an expression like the one above to reach into
their calling environment and add new definitions of [[log]] or [[if]]
that wound then be used in evaluating this expression.  Again this is
not common and generally not a good idea outside of a debugging
context.

Ideally the compiler should completely preserve semantics of the
language implemented by the interpreter.  While this is possible it
would significantly complicate the compiler and the compiled code, and
carry at least some runtime penalty. The approach taken here is
therefore to permit the compiler to inline some functions when they
are not visibly shadowed in the compiled code.  What the compiler is
permitted to do is determined by the setting of an optimization level.
The details are desctibed in Section \ref{sec:inlining}.

For the compiler to be able to decide whether is can inline a function
it needs to be able to determine whether there are any local variable
that might shadow a variable from a base package. This requires adding
environment information to the compilation process.


\subsection{Representing compilation environments}
When compiling an expression the compiler needs to take into account
an evaluation environment, which would typically be a toplevel
environment, along with local variable definitions discovered during
the compilation process. The evaluation environment should not be
modified, so the local variables need to be considered in addition to
ones defined in the evaluation environment.  If an expression
\begin{verbatim}
{ x <- 1; x + 2 }
\end{verbatim}
is compiled for evaluation in the global environment then existing
definitions in the global environment as well as the new definition
for [[x]] need to be taken into account. To address this the
compilation environment is a list of two components, an environment
and a list of character vectors.  The environment consists of one
frame for each level of local variables followed by the top level
evaluation environment.  The list of character vectors consist of one
element for each frame for which local variables have been discovered
by the compiler. For efficiency the compilation environment structure
also includes a character vector [[ftype]] classifying each frame as a
local, namespace, or global frame.
<<[[makeCenv]] function>>=
## Create a new compiler environment
## **** need to explain the structure
makeCenv <- function(env) {
    structure(list(extra = list(character(0)),
                   env = env,
                   ftypes = frameTypes(env)),
              class = "compiler_environment")
}
@ %def makeCenv

When an expression is to be compiled in a particular environment a
first step is to identify any local variable definitions and add these
to the top level frame.
<<[[addCenvVars]] function>>=
## Add vars to the top compiler environment frame
addCenvVars <- function(cenv, vars) {
    cenv$extra[[1]] <- union(cenv$extra[[1]], vars)
    cenv
}
@ %def addCenVars

When compiling a function a new frame is added to the compilation
environment.  Typically a number of local variables are added
immediately, so an optional [[vars]] argument is provided so this
can be done without an additional call to [[addCenvVars]].
<<[[addCenvFrame]] function>>=
## Add a new frame to a compiler environment
addCenvFrame <- function(cenv, vars) {
    cenv$extra <- c(list(character(0)), cenv$extra)
    cenv$env <- new.env(parent = cenv$env)
    cenv$ftypes <- c("local", cenv$ftypes)
    if (missing(vars))
        cenv
    else
        addCenvVars(cenv, vars)
}
@ %def addCenvFrame

The compilation environment is queried by calling [[findCenvVar]].
%% **** change name to findCenvVarInfo or some such??
If a binding for the specified variable is found then [[findCenvVar]]
returns a list containing information about the binding.  If no
binding is found then [[NULL]] is returned.
<<[[findCenvVar]] function>>=
## Find binding information for a variable (character or name).
## If a binding is found, return a list containing components
##   ftype -- one of "local", "namespace", "global"
##   value -- current value if available
##   frame -- frame containing the binding (not useful for "local" variables)
##   index -- index of the frame (1 for top, 2, for next one, etc.)
## Return NULL if no binding is found.
## **** drop the index, maybe value, to reduce cost? (query as needed?)
findCenvVar <- function(var, cenv) {
    if (typeof(var) == "symbol")
        var <- as.character(var)
    extra <- cenv$extra
    env <- cenv$env
    frame <- NULL
    <<search [[extra]] entries and environment frames>>
    <<search the remaining environment frames if necessary>>
    <<create the [[findCenvVar]] result>>
}
@ %def findCenvVar

The initial search for a matching binding proceeds down each frame for
which there is also an entry in [[extra]], searching the [[extra]]
entry before the environment frame.
<<search [[extra]] entries and environment frames>>=
for (i in seq_along(cenv$extra)) {
    if (var %in% extra[[i]] || exists(var, env, inherits = FALSE)) {
        frame <- env
        break
    }
    else
        env <- parent.env(env)
}
@ %def
If [[frame]] is still [[NULL]] after the initial search then the
remaining environment frames from the evaluation environment for which
there are no corresponding entries in [[extra]] are searched.
<<search the remaining environment frames if necessary>>=
if (is.null(frame)) {
    empty <- emptyenv()
    while (! identical(env, empty)) {
        i <- i + 1
        if (exists(var, env, inherits = FALSE)) {
            frame <- env
            break
        }
        else
            env <- parent.env(env)
    }
}
@ %def

If a binding frame is found then the result consists of a list
containing the frame, the frame type, the value if available, and the
frame index.  The value is not looked up for [[...]] variables.  A
promise to compute the value is stored in an environment in the
result.  This avoids computing the value in some cases where doing so
may fail or produce unwanted side effects.
<<create the [[findCenvVar]] result>>=
if (! is.null(frame)) {
    if (exists(var, frame, inherits = FALSE) && var != "...") {
        value <- new.env(parent = emptyenv())
        delayedAssign("value", get(var, frame, inherits = FALSE),
                      assign.env = value)
    }
    else
        value <- NULL
    list(frame = frame, ftype = cenv$ftypes[i], value = value, index = i)
}
else
    NULL
@ %def

Useful functions for querying the environment associated with a
compilation context are [[findVar]], [[findLocVar]], and
[[findFunDef]]. The function [[findVar]] returns [[TRUE]] is a binding
for the specified variable is visible and [[FALSE]] otherwise.
<<[[findVar]] function>>=
findVar <- function(var, cntxt) {
    cenv <- cntxt$env
    info <- findCenvVar(var, cenv)
    ! is.null(info)
}
@ %def findVar
[[findLocVar]] returns [[TRUE]] only if a local binding is found.
<<[[findLocVar]] function>>=
## test whether a local version of a variable might exist
findLocVar <- function(var, cntxt) {
    cenv <- cntxt$env
    info <- findCenvVar(var, cenv)
    ! is.null(info) && info$ftype == "local"
}
@ %def findLocVar
[[findFunDef]] returns a function definition if one is available for
the specified name and [[NULL]] otherwise.
<<[[findFunDef]] function>>=
## **** should this check for local functions as well?
findFunDef <- function(fun, cntxt) {
    cenv <- cntxt$env
    info <- findCenvVar(fun, cenv)
    if (! is.null(info$value) && is.function(info$value$value))
        info$value$value
    else
        NULL
}
@ %def findFunDef


\subsection{Identifying possible local variables}
For the compiler to be able to know that it can optimize a reference
to a particular global function or variable it needs to be able to
determine that that variable will not be shadowed by a local
definition at runtime.  R semantics do not allow certain
identification of local variables.  If a function body consist of the
two lines
\begin{verbatim}
if (x) y <- 1
y
\end{verbatim}
then whether the variable [[y]] in the second line is local or global
depends on the value of [[x]].  Lazy evaluation of arguments also
means what whether and when an assignment in a function argument
occurs can be uncertain.

The approach taken by the compiler is to conservatively identify all
variables that might be created within an expression, such as a
function body, and consider those to be potentially local variables
that inhibit optimizations.  This ignores runtime creation of new
variables, but as already mentioned that is generally not good
programming practice.

Variables are created by the assignment operators [[<-]] and [[=]] and
by [[for]] loops.  In addition, calls to [[assign]] and
[[delayedAssign]] with a literal character name argument are
considered to create potential local variables if the environment
argument is missing, which means the assignment is in the current
environment.

A simple approach for identifying all local variables created within
an expression is given by
<<findlocals0>>=
findLocals0 <- function(e) {
    if (typeof(e) == "language") {
        if (typeof(e[[1]]) %in% c("symbol", "character"))
            switch(as.character(e[[1]]),
                   <<[[findLocals0]] switch clauses>>
                   findLocalsList0(e[-1]))
         else findLocalsList0(e)
    }
    else character(0)
}

findLocalsList0 <- function(elist)
    unique(unlist(lapply(elist, findLocals0)))
@ %def findLocals0 findLocalsList0

For assignment expressions the assignment variable is added to any
variables found in the value expression.
<<[[findLocals0]] switch clauses>>=
"=" =,
"<-" = unique(c(getAssignedVar(e),
                findLocalsList0(e[-1]))),
@ %def
The assigned variable is determined by [[getAssignedVar]]:
<<[[getAssignedVar]] function>>=
getAssignedVar <- function(e) {
    v <- e[[2]]
    if (missing(v))
        stop(gettextf("bad assignment: %s", pasteExpr(e)),
             domain = NA)
    else if (typeof(v) %in% c("symbol", "character"))
        as.character(v)
    else {
        while (typeof(v) == "language") {
            if (length(v) < 2)
                stop(gettextf("bad assignment: %s", pasteExpr(e)),
                     domain = NA)
            v <- v[[2]]
            if (missing(v))
                stop(gettextf("bad assignment: %s", pasteExpr(e)),
                     domain = NA)
        }
        if (typeof(v) != "symbol")
            stop(gettextf("bad assignment: %s", pasteExpr(e)),
                 domain = NA)
        as.character(v)
    }
}
@ %def getAssignedVar

For [[for]] loops the loop variable is added to any variables found in
the sequence and body expressions.
<<[[findLocals0]] switch clauses>>=
"for" = unique(c(as.character(e[2]),
                 findLocalsList0(e[-2]))),
@ %def

The variable in [[assign]] and [[delayedAssign]] expressions is
considered local if it is an explicit character string and there is no
environment argument.
<<[[findLocals0]] switch clauses>>=
"delayedAssign" =,
"assign" = if (length(e) == 3 &&
               is.character(e[[2]]) &&
               length(e[[2]]) == 1)
               c(e[[2]], findLocals0(e[[3]], shadowed))
           else findLocalsList1(e[1], shadowed),
@ %def

Variables defined within local functions created by [[function]]
expressions do not shadow globals within the containing expression and
therefore [[function]] expressions do not contribute any new local
variables. Similarly, [[local]] calls without an environment argument
create a new environment for evaluating their expression and do not
add new local variables.  If an environment argument is present then
this might be the current environment and so assignments in the
expression are considered to create possible local variables.
Finally, [[~]], [[expression]], and [[quote]] do not
evaluate their arguments and so do not contribute new local variables.
<<[[findLocals0]] switch clauses>>=
"function" = character(0),
"~" = character(0),
"local" = if (length(e) == 2) character(0)
          else findLocalsList0(e[-1]),
"expression" =,
"quote" = character(0),
@ %def findLocals0
Other functions, for example [[Quote]] from the [[methods]] package,
are also known to not evaluate their arguments but these do not often
contain assignment expressions and so ignoring them only slightly
increases the degree of conservatism in this approach.

A problem with this simple implementation is that it assumes that all
of the functions named in the [[switch]] correspond to the bindings in
the base package.  This is reasonable for the ones that are
syntactically special, but not for [[expression]], [[local]] and
[[quote]].  These might be shadowed by local definitions in a
surrounding function.  To allow for this we can add an optional
variable [[shadowed]] for providing a character vector of names of
variables with shadowing local definitions.
<<[[findLocals1]] function>>=
findLocals1 <- function(e, shadowed = character(0)) {
    if (typeof(e) == "language") {
        if (typeof(e[[1]]) %in% c("symbol", "character")) {
            v <- as.character(e[[1]])
            switch(v,
                   <<[[findLocals1]] switch clauses>>
                   findLocalsList1(e[-1], shadowed))
        }
         else findLocalsList1(e, shadowed)
    }
    else character(0)
}
@ %def findLocals1 
%% **** merge into single chunk??
<<[[findLocalsList1]] function>>=
findLocalsList1 <- function(elist, shadowed)
    unique(unlist(lapply(elist, findLocals1, shadowed)))
@ %def findLocalsList1
The handling of assignment operators, [[for]] loops, [[function]] and
[[~]] expressions is analogous to the approach in [[findLocals0]].
<<[[findLocals1]] switch clauses>>=
"=" =,
"<-" = unique(c(getAssignedVar(e),
                findLocalsList1(e[-1], shadowed))),
"for" = unique(c(as.character(e[2]),
                 findLocalsList1(e[-2], shadowed))),
"delayedAssign" =,
"assign" = if (length(e) == 3 &&
               is.character(e[[2]]) &&
               length(e[[2]]) == 1)
               c(e[[2]], findLocals1(e[[3]], shadowed))
           else findLocalsList1(e[1], shadowed),
"function" = character(0),
"~" = character(0),
@ %def
The rules for ignoring assignments in [[local]], [[expression]], and
[[quote]] calls are only applied if there are no shadowing
definitions.
<<[[findLocals1]] switch clauses>>=
"local" = if (! v %in% shadowed && length(e) == 2)
              character(0)
          else findLocalsList1(e[-1], shadowed),
"expression" =,
"quote" = if (! v %in% shadowed)
              character(0)
          else findLocalsList1(e[-1], shadowed),
@ %def
The assignment functions could also be shadowed, but this is not very
common, and assuming that they are not errs in the conservative
direction.

This approach can handle the case where [[quote]] or one of the other
non-syntactic functions is shadowed by an outer definition but does not
handle assignments that occur in the expression itself.  For example,
in
\begin{verbatim}
function (f, x, y) {
    local <- f
    local(x <- y)
    x
}
\end{verbatim}
the reference to [[x]] in the third line has to be considered
potentially local.  To deal with this multiple passes are needed.  The
first pass assumes that [[expression]], [[local]] or [[quote]] might
be shadowed by local assignments.  If no assignments to some of them
are visible, then a second pass can be used in which they are assumed
not to be shadowed.  This can be iterated to convergence.  It is also
useful to check before returning whether any of the syntactically
special variables has been assigned to.  If so, so a warning is
issued.
%% **** allow overriding of the warning function by cntxt?
%% **** look into speeding up findLocalsList
<<[[findLocalsList]] function>>=
findLocalsList <- function(elist, cntxt) {
    initialShadowedFuns <- c("expression", "local", "quote")
    shadowed <- Filter(function(n) ! isBaseVar(n, cntxt), initialShadowedFuns)
    specialSyntaxFuns <- c("~", "<-", "=", "for", "function")
    sf <- initialShadowedFuns
    nsf <- length(sf)
    repeat {
        vals <- findLocalsList1(elist, sf)
        redefined <- sf %in% vals
        last.nsf <- nsf
        sf <- unique(c(shadowed, sf[redefined]))
        nsf <- length(sf)
        ## **** need to fix the termination condition used in codetools!!!
        if (last.nsf == nsf) {
            rdsf <- vals %in% specialSyntaxFuns
            if (any(rdsf)) {
                msg <- ngettext(sum(rdsf),
                                "local assignment to syntactic function: ",
                                "local assignments to syntactic functions: ")
                warning(msg, paste(vals[rdsf], collapse = ", "),
                        domain = NA)
            }
            return(vals)
        }
    }
}
@ %def findLocalsList
<<[[findLocals]] function>>=
findLocals <- function(e, cntxt)
    findLocalsList(list(e), cntxt)
@ %def findLocals

Standard definitions for all functions in [[initialShadowedFuns]] are
in the base package and [[isBaseVar]] checks the compilation
environment to see whether the specified variable's definition comes
from that package either via a namespace or the global environment.
<<[[isBaseVar]] function>>=
isBaseVar <- function(var, cntxt) {
    info <- getInlineInfo(var, cntxt)
    (! is.null(info) &&
     (identical(info$frame, .BaseNamespaceEnv) ||
      identical(info$frame, baseenv())))
}
@ %def isBaseVar
The use of [[getInlineInfo]], defined in Section \ref{sec:inlining}, means
that the setting of the [[optimize]] compiler option will influence whether
a variable should be considered to be from the base package or not.
It might also be useful to warn about assignments to other functions.

When a [[function]] expression is compiled, its body and default
arguments need to be compiled using a compilation environment that
contains a new frame for the function that contains variables for the
arguments and any assignments in the body and the default expressions.
[[funEnv]] creates such an environment.
<<[[funEnv]] function>>=
## augment compiler environment with function args and locals
funEnv <- function(forms, body, cntxt) {
    cntxt$env <- addCenvFrame(cntxt$env, names(forms))
    locals <- findLocalsList(c(forms, body), cntxt)
    addCenvVars(cntxt$env, locals)
}
@ %def funEnv


\section{The inlining mechanism}
\label{sec:inlining}
To allow for inline coding of calls to some functions the [[cmpCall]]
function calls the [[tryInline]] function.  The [[tryInline]] function
will either generate code for the call and return [[TRUE]], or it will
decline to do so and return [[FALSE]], in which case the standard code
generation process for a function call is used.

The function [[tryInline]] calls [[getInlineInfo]] to determine
whether inlining is permissible given the current environment and
optimization settings.  There are four possible optimization levels:
\begin{description}
\item[Level 0:] No inlining.
\item[Level 1:] Functions in the base packages found through a
  namespace that are not shadowed by function arguments or visible
  local assignments may be inlined.
\item[Level 2:] In addition to the inlining permitted by Level 1,
  functions that are syntactically special or are considered core
  language functions and are found via the global environment at
  compile time may be inlined.
\item[Level 3:] Any function in the base packages found via the global
  environment may be inlined.
  %% **** should there be an explicit list of functions where inlining
  %% **** is OK here??
\end{description}
The syntactically special and core language functions are
<<[[languageFuns]] definition>>=
languageFuns <- c("^", "~", "<", "<<-", "<=", "<-", "=", "==", ">", ">=",
                  "|", "||", "-", ":", "!", "!=", "/", "(", "[", "[<-", "[[",
                  "[[<-", "{", "@", "$", "$<-", "*", "&", "&&", "%/%", "%*%",
                  "%%", "+",
                  "::", ":::", "@<-",
                  "break", "for", "function", "if", "next", "repeat", "while",
                  "local", "return", "switch")
@ %def languageFuns
%% **** local, return, and switch are dubious here
%% **** if we allow them, should we also allow a few others, like .Internal?
The default optimization level is Level 2. Future versions of the
compiler may allow some functions to be explicitly excluded from
inlining and may provide a means for allowing user-defined functions
to be declared eligible for inlining.

If inlining is permissible then the result returned by
[[getInlineInfo]] contains the packages associated with the specified
variable in the current environment. The variable name and package are
then looked up in a data base of handlers.  If a handler is found then
the handler is called.  The handler can either generate code and
return [[TRUE]] or decline to and return [[FALSE]].  If inlining is
not possible then [[getInlineInfo]] returns [[NULL]] and [[tryInline]]
returns [[FALSE]].
%% **** think about adding GETNSFUN to use when inlining is OK
<<[[tryInline]] function>>=
tryInline <- function(e, cb, cntxt) {
    name <- as.character(e[[1]])
    info <- getInlineInfo(name, cntxt)
    if (is.null(info))
        FALSE
    else {
        h <- getInlineHandler(name, info$package)
        if (! is.null(h))
            h(e, cb, cntxt)
        else FALSE
    }
}
@ %def tryInline

The function [[getInlineInfo]] implements the optimization rules
described at the beginning of this section.
<<[[getInlineInfo]] function>>=
noInlineSymbols <- c("standardGeneric")

getInlineInfo <- function(name, cntxt) {
    optimize <- cntxt$optimize
    if (optimize > 0 && ! (name %in% noInlineSymbols)) {
        info <- findCenvVar(name, cntxt$env)
        if (is.null(info))
            NULL
        else {
            ftype <- info$ftype
            frame <- info$frame
            if (ftype == "namespace") {
                <<fixup for a namespace import frame>>
                info$package <- nsName(findHomeNS(name, frame))
                info
            }
            else if (ftype == "global" &&
                     (optimize >= 3 ||
                      (optimize >= 2 && name %in% languageFuns))) {
                info$package <- packFrameName(frame)
                info
            }
            else NULL
        }
    }
    else NULL
}
@ %def getInlineInfo
The code for finding the home namespace from a namespace import frame
is needed here to deal with the fact that a namespace may not be
registered when this function is called, so the mechanism used in
[[findHomeNS]] to locate the namespace to which an import frame
belongs may not work.
<<fixup for a namespace import frame>>=
if (! isNamespace(frame)) {
    ## should be the import frame of the current topenv
    top <- topenv(cntxt$env$env)
    if (! isNamespace(top) ||
        ! identical(frame, parent.env(top)))
        cntxt$stop(gettext("bad namespace import frame"))
    frame <- top
}
@ 

For this version of the compiler the inline handler data base is
managed as an environment in which handlers are entered and looked up
by name.  For now it is assumed that a name can only appear associated
with one package and an error is signaled if an attempt is made to
redefine a handler for a given name for a different package than an
existing definition.  This can easily be changed if it should prove too
restrictive.
%% **** note on haveInlineHandler
%% **** allow same name in multiple packages?
<<inline handler implementation>>=
inlineHandlers <- new.env(hash = TRUE, parent = emptyenv())

setInlineHandler <- function(name, h, package = "base") {
    if (exists(name, inlineHandlers, inherits = FALSE)) {
        entry <- get(name, inlineHandlers)
        if (entry$package != package) {
            fmt <- "handler for '%s' is already defined for another package"
            stop(gettextf(fmt, name), domain = NA)
        }
    }
    entry <- list(handler = h, package = package)
    assign(name, entry, inlineHandlers)
}

getInlineHandler <- function(name, package = "base") {
    if (exists(name, inlineHandlers, inherits = FALSE)) {
        hinfo <- get(name, inlineHandlers)
        if (hinfo$package == package)
            hinfo$handler
        else NULL
    }
    else NULL
}

haveInlineHandler <- function(name, package = "base") {
    if (exists(name, inlineHandlers, inherits = FALSE)) {
        hinfo <- get(name, inlineHandlers)
        package == hinfo$package
    }
    else FALSE
}
@ %def inlineHandlers getInlineHandler setInlineHandler haveInlineHandler


\section{Default inlining rules for primitives}
This section defines generic handlers for [[BUILTIN]] and [[SPECIAL]]
functions.  These are installed programmatically for all [[BUILTIN]]
and [[SPECIAL]] functions.  The following sections present more
specialized handlers for a range of functions that are installed in
place of the default ones.
<<install default inlining handlers>>=
local({
    <<install default [[SPECIAL]] handlers>>
    <<install default [[BUILTIN]] handlers>>
})
@ 
The handler installations are wrapped in a [[local]] call to reduce
environment pollution.


\subsection{[[BUILTIN]] functions}
Calls to functions known at compile time to be of type [[BUILTIN]] can
be handled more efficiently. The interpreter evaluates all arguments
for [[BUILTIN]] functions before calling the function, so the compiler
can evaluate the arguments in line without the need for creating
promises.

A generic handler for inlining a call to a [[BUILIN]] function is
provided by [[cmpBuiltin]].  For now, the handler returns [[FALSE]] if
the call contains missing arguments, which are currently not allowed
in [[BUILTIN]] functions, or [[...]]  arguments.  The handling of
[[...]] arguments should be improved.
%% **** look into improving handling ... arguments to BUILTINs?
For [[BUILTIN]] functions the function to call is pushed on the stack
with the [[GETBUILTIN]] instruction.  The [[internal]] argument allows
[[cmpBuiltin]] to be used with [[.Internal]] functions of type
[[BUILTIN]] as well; this is used in the handler for [[.Internal]]
defined in Section \ref{subsec:.Internal}.
<<[[cmpBuiltin]] function>>=
cmpBuiltin <- function(e, cb, cntxt, internal = FALSE) {
    fun <- e[[1]]
    args <- e[-1]
    names <- names(args)
    if (dots.or.missing(args))
        FALSE
    else {
        ci <- cb$putconst(fun)
        if (internal)
            cb$putcode(GETINTLBUILTIN.OP, ci)
        else
            cb$putcode(GETBUILTIN.OP, ci)
        cmpBuiltinArgs(args, names, cb, cntxt)
        ci <- cb$putconst(e)
        cb$putcode(CALLBUILTIN.OP, ci)
        if (cntxt$tailcall) cb$putcode(RETURN.OP)
        TRUE
    }
}
@ %def cmpBuiltin

Argument evaluation code is generated by [[cmpBuiltinArgs]].  In the
context of [[BUILTIN]] functions missing arguments are currently not
allowed.  But to allow [[cmpBuiltinArgs]] to be used in other contexts
missing arguments are supported if the optional argument [[missingOK]]
is [[TRUE]].
%% **** should this warn/stop if there are missings and missingOK is FALSE??
%% **** can this be adjusted so error messages match the interpreter?
%% **** for f <- function(x, y) x + y compare errors for f(1,) and cmpfun(f)(1,)
%% **** test code for constant folding is needed (sym and non-sym)
<<[[cmpBuiltinArgs]] function>>=
cmpBuiltinArgs <- function(args, names, cb, cntxt, missingOK = FALSE) {
    ncntxt <- make.argContext(cntxt)
    for (i in seq_along(args)) {
        a <- args[[i]]
        n <- names[[i]]
        <<compile missing [[BUILTIN]] argument>>
        ## **** handle ... here ??
        <<signal an error for promise or bytecode argument>>
        <<compile a general [[BUILTIN]] argument>>
    }
}
@ %def cmpBuiltinArgs

Missing argument code is generated by
<<compile missing [[BUILTIN]] argument>>=
if (missing(a)) {
    if (missingOK) {
        cb$putcode(DOMISSING.OP)
        cmpTag(n, cb)
    }
    else
        cntxt$stop(gettext("missing arguments are not allowed"), cntxt)
}
@ 
The error case should not be reached as [[cmpBuiltinArgs]] should not
be called with missing arguments unless [[missingOK]] is [[TRUE]].

The code for general arguments handles symbols separately to allow for
the case when missing values are acceptable.  Constant folding is
tried first since the constant folding code in [[cmp]] is not reached
in this case.  Constant folding is needed here since it doesn't go
through [[cmp]].
<<compile a general [[BUILTIN]] argument>>=
else {
    if (is.symbol(a)) {
        ca <- constantFold(a, cntxt)
        if (is.null(ca)) {
            cmpSym(a, cb, ncntxt, missingOK)
            cb$putcode(PUSHARG.OP)
        }
        else
            cmpConstArg(ca$value, cb, cntxt)
    }
    else if (typeof(a) == "language") {
        cmp(a, cb, ncntxt)
        cb$putcode(PUSHARG.OP)
    }
    else
        cmpConstArg(a, cb, cntxt)
    cmpTag(n, cb)
}
@ %def
Handling the constant case separately is not really necessary but
makes the code a bit cleaner.

Default handlers for all [[BUILTIN]] functions in the [[base]] package
are installed programmatically by
<<install default [[BUILTIN]] handlers>>=
for (b in basevars[types == "builtin"])
    if (! haveInlineHandler(b, "base"))
        setInlineHandler(b, cmpBuiltin)
@ %def


\subsection{[[SPECIAL]] functions}
Calls to functions known to be of type [[SPECIAL]] can also be
compiled somewhat more efficiently by the [[cmpSpecial]] function:
<<[[cmpSpecial]] function>>=
cmpSpecial <- function(e, cb, cntxt) {
    fun <- e[[1]]
    if (typeof(fun) == "character")
        fun <- as.name(fun)
    ci <- cb$putconst(e)
    cb$putcode(CALLSPECIAL.OP, ci)
    if (cntxt$tailcall)
        cb$putcode(RETURN.OP)
    TRUE
}
@ %def cmpSpecial

This handler is installed for all [[SPECIAL]] functions in the base
package with
<<install default [[SPECIAL]] handlers>>=
basevars <- ls('package:base', all = TRUE)
types <- sapply(basevars, function(n) typeof(get(n)))
for (s in basevars[types == "special"])
    if (! haveInlineHandler(s, "base"))
        setInlineHandler(s, cmpSpecial)
@ %def


\section{Some simple inlining handlers}
This section presents inlining handlers for a number of core primitive
functions.  With these additions the compiler will begin to show some
performance improvements.

\subsection{The left brace sequencing function}
The inlining handler for [[{]] needs to consider that a pair of braces
[[{]] and [[}]] can surround zero, one, or more expressions.  A set
of empty braces is equivalent to the constant [[NULL]].  If there is
more than one expression, then all the values of all expressions other
than the last are ignored.  These expressions are compiled in a
no-value context (currently equivalent to a non-tail-call context),
and then code is generated to pop their values off the stack.  The
final expression is then compiled according to the context in which
the braces expression occurs.
<<inlining handler for left brace function>>=
setInlineHandler("{", function(e, cb, cntxt) {
    n <- length(e)
    if (n == 1)
        cmp(NULL, cb, cntxt)
    else {
        if (n > 2) {
            ncntxt <- make.noValueContext(cntxt)
            for (i in 2 : (n - 1)) {
                cmp(e[[i]], cb, ncntxt)
                cb$putcode(POP.OP)
            }
        }
        cmp(e[[n]], cb, cntxt)
    }
    TRUE
})
@ %def


\subsection{The closure constructor function}
Compiling of [[function]] expressions is somewhat similar to compiling
promises for function arguments.  The body of a function is compiled
into a separate byte code object and stored in the constant pool
together with the formals.  Then code is emitted for creating a
closure from the formals, compiled body, and the current environment.
For now, only the body of functions is compiled, not the
default argument expressions.  This should be changed in future
versions of the compiler.
<<inlining handler for [[function]]>>=
setInlineHandler("function", function(e, cb, cntxt) {
    forms <- e[[2]]
    body <- e[[3]]
    ncntxt <- make.functionContext(cntxt, forms, body)
    cbody <- genCode(body, ncntxt)
    ci <- cb$putconst(list(forms, cbody))
    cb$putcode(MAKECLOSURE.OP, ci)
    if (cntxt$tailcall) cb$putcode(RETURN.OP)
    TRUE
})
@ %def


\subsection{The left parenthesis function}
In R an expression of the form [[(expr)]] is interpreted as a call to
the function [[(]] with the argument [[expr]].  Parentheses are used
to guide the parser, and for the most part [[(expr)]] is equivalent to
[[expr]]. There are two exceptions:
\begin{itemize}
\item Since [[(]] is a function an expression of the form [[(...)]] is
  legal whereas just [[...]] may not be, depending on the context.  A
  runtime error will occur unless the [[...]] argument expands to
  exactly one non-missing argument.
\item In tail position a call to [[(]] sets the visible flag to
  [[TRUE]].  So at top level for example the result of an assignment
  expression [[x <- 1]] would not be printed, but the result of [[(x
  <- 1]] would be printed.  It is not clear that this feature really
  needs to be preserved within functions --- it could be made a
  feature of the read-eval-print loop --- but for now it is a feature
  of the interpreter that the compiler should preserve.
\end{itemize}

The inlining handler for [[(]] calls handles a [[...]]  argument case
or a case with fewer or more than one argument as a generic
[[BUILTIN]] call.  If the expression is in tail position then the
argument is compiled in a non-tail-call context, a [[VISIBLE]]
instruction is emitted to set the visible flag to [[TRUE]], and a
[[RETURN]] instruction is emitted.  If the expression is in non-tail
position, then code for the argument is generated in the current context.
<<inlining handler for [[(]]>>=
setInlineHandler("(", function(e, cb, cntxt) {
    if (any.dots(e))
        cmpBuiltin(e, cb, cntxt) ## punt
    else if (length(e) != 2) {
        notifyWrongArgCount("(", cntxt)
        cmpBuiltin(e, cb, cntxt) ## punt
    }
    else if (cntxt$tailcall) {
        ncntxt <- make.nonTailCallContext(cntxt)
        cmp(e[[2]], cb, ncntxt)
        cb$putcode(VISIBLE.OP)
        cb$putcode(RETURN.OP)
        TRUE
    }
    else {
        cmp(e[[2]], cb, cntxt)
        TRUE
    }
})
@ %def


\subsection{The [[.Internal]] function}
\label{subsec:.Internal}
One frequently used [[SPECIAL]] function is [[.Internal]]. When the
[[.Internal]] function called is of type [[BUILTIN]] it is useful to
compile the call as for a [[BUILTIN]] function.  For [[.Internal]]
functions of type [[SPECIAL]] there is less of an advantage, and so
the [[.Internal]] expression is compiled with [[cmpSpecial]].  It may
be useful to use introduce a [[GETINTLSPECIAL]] instruction and handle
these analogously to [[.Internal]] functions of type [[BUILTIN]].
%% **** look into adding GETINTLSPECIAL??
<<inlining handler for [[.Internal]]>>=
setInlineHandler(".Internal", function(e, cb, cntxt) {
    ee <- e[[2]]
    sym <- ee[[1]]
    if (.Internal(is.builtin.internal(sym)))
        cmpBuiltin(ee, cb, cntxt, internal = TRUE)
    else
        cmpSpecial(e, cb, cntxt)
})
@ %def


\subsection{The [[local]] function}
While [[local]] is currently implemented as a closure, because of its
importance relative to local variable determination it is a good idea
to inline it as well. The current semantics are such that the
interpreter treats
\begin{verbatim}
local(expr)
\end{verbatim}
essentially the same as
\begin{verbatim}
(function() expr)()
\end{verbatim}
There may be some minor differences related to what the [[sys.xyz]]
functions return but these do not seem to be important. So the
compiler handles one argument [[local]] calls by making this
conversion and compiling the result.
%% **** add to language manual?
<<inlining handler for [[local]] function>>=
setInlineHandler("local", function(e, cb, cntxt) {
    if (length(e) == 2) {
        ee <- as.call(list(as.call(list(as.name("function"), NULL, e[[2]]))))
        cmp(ee, cb, cntxt)
        TRUE
    }
    else FALSE
})
@ %def


\subsection{The [[return]] function}
\label{subsec:return}
A call to [[return]] causes a return from the associated function
call, as determined by the lexical context in which the [[return]]
expression is defined.  If the [[return]] is captured in a closure and
is executed within a callee then this requires a [[longjmp]].  A
[[longjmp]] is also needed if the [[return]] call occurs within a loop
that is compiled to a separate code object to support a [[setjmp]] for
[[break]] or [[next]] calls.  The [[RETURNJMP]] instruction is
provided for this purpose.  In all other cases an ordinary [[RETURN]]
instruction can be used.
%% **** if function body code was tagged as such then changing from
%% **** RETURNJMP to RETURN could be done by post-processing the
%% **** bytecode or by putcode
[[return]] calls with [[...]], which may be legal if [[...]] contains
only one argument, or missing arguments or more than one argument,
which will produce runtime errors, are compiled as generic [[SPECIAL]]
calls.
<<inlining handler for [[return]] function>>=
setInlineHandler("return", function(e, cb, cntxt) {
    if (dots.or.missing(e) || length(e) > 2)
        cmpSpecial(e, cb, cntxt) ## **** punt for now
    else {
        if (length(e) == 1)
            val <- NULL
        else
            val <- e[[2]]
        ncntxt <- make.nonTailCallContext(cntxt)
        cmp(val, cb, ncntxt)
	if (cntxt$needRETURNJMP)
            cb$putcode(RETURNJMP.OP)
        else
            cb$putcode(RETURN.OP)
    }
    TRUE
})
@ 


\section{Branching and labels}
The code generated so far is straight line code without conditional or
unconditional branches.  To implement conditional evaluation
constructs and loops we need to add conditional and unconditional
branching instructions.  These make use of the labels mechanism
provided by the code buffer.


\subsection{Inlining handler for [[if]] expressions}
Using the labels mechanism we can implement an inlining handler for
[[if]] expressions.  The first step extracts the components of the
expression.  An [[if]] expression with no [[else]] clause will
invisibly return [[NULL]] if the test is [[FALSE]], but the visible
flag setting only matters if the [[if]] expression is in tail
position.  So the case of no [[else]] clause will be handled slightly
differently in tail and non-tail contexts.
%% **** In no value contexts it would be good to avoid pushing and 
%% **** immediately popping constants. Alternatively a peephole optimizer
%% **** could clean these up.
%% **** Should there be error checking for either two or three arguments here??
<<[[if]] inline handler body>>=
test <- e[[2]]
then.expr <- e[[3]]
if (length(e) == 4) {
    have.else.expr <- TRUE
    else.expr <- e[[4]]
}
else have.else.expr <- FALSE
@ %def

To deal with use of [[if (FALSE) ...]] for commenting out code and of
[[if (is.R()) ... else ...]] for handling both R and Splus code it is
useful to attempt to constant-fold the test.  If this succeeds and
produces either [[TRUE]] or [[FALSE]] then only the appropriate branch
is compiled and the handler returns [[TRUE]].
<<[[if]] inline handler body>>=
ct <- constantFold(test, cntxt)
if (! is.null(ct) && is.logical(ct$value) && length(ct$value) == 1
    && ! is.na(ct$value)) {
    if (ct$value)
        cmp(then.expr, cb, cntxt)
    else if (have.else.expr)
        cmp(else.expr, cb, cntxt)
    else if (cntxt$tailcall) {
        cb$putcode(LDNULL.OP)
        cb$putcode(INVISIBLE.OP)
        cb$putcode(RETURN.OP)
    }
    else cb$putcode(LDNULL.OP)
    return(TRUE)
}
@ 

Next, the test code is compiled, a label for the start of code for the
[[else]] clause is generated, and a conditional branch instruction
that branches to the [[else]] label if the test fails is emitted.
This is followed by code for the consequent (test is [[TRUE]])
expression.  The [[BRIFNOT]] takes two operand, the constant pool
index for the call and the label to branch to if the value on the
stack is [[FALSE]].  The call is used if an error needs to be signaled
for an improper test result on the stack.
<<[[if]] inline handler body>>=
ncntxt <- make.nonTailCallContext(cntxt)
cmp(test, cb, ncntxt)
callidx <- cb$putconst(e)
else.label <- cb$makelabel()
cb$putcode(BRIFNOT.OP, callidx, else.label)
cmp(then.expr, cb, cntxt)
@ 

The code for the alternative [[else]] expression will be placed after
the code for the consequent expression.  If the [[if]] expression
appears in tail position then the code for the consequent will end with
a [[RETURN]] instruction and there is no need to jump over the
following instructions for the [[else]] expression. All that is needed
is to record the value of the label for the [[else]] clause and to
emit the code for the [[else]] clause.  If no [[else]] clause was
provided then that code arranges for the value [[NULL]] to be returned
invisibly.
<<[[if]] inline handler body>>=
if (cntxt$tailcall) {
    cb$putlabel(else.label)
    if (have.else.expr)
        cmp(else.expr, cb, cntxt)
    else {
        cb$putcode(LDNULL.OP)
        cb$putcode(INVISIBLE.OP)
        cb$putcode(RETURN.OP)
    }
}
@ %def
On the other hand, if the [[if]] expression is not in tail position
then a label for the next instruction after the [[else]] expression
code is needed, and the consequent expression code needs to end with a
[[GOTO]] instruction to that label.  If the expression does not
include an [[else]] clause then the alternative code just places
[[NULL]] on the stack.
<<[[if]] inline handler body>>=
else {
    end.label <- cb$makelabel()
    cb$putcode(GOTO.OP, end.label)
    cb$putlabel(else.label)
    if (have.else.expr)
        cmp(else.expr, cb, cntxt)
    else
        cb$putcode(LDNULL.OP)
    cb$putlabel(end.label)
}
@ %def

The resulting handler definition is
<<inlining handler for [[if]]>>=
setInlineHandler("if", function(e, cb, cntxt) {
    ## **** test for missing, ...
    <<[[if]] inline handler body>>
    TRUE
})
@ %def
%% **** need some assembly code examples??


\subsection{Inlining handlers for [[&&]] and [[||]] expressions}
In many languages it is possible to convert the expression [[a && b]]
to an equivalent [[if]] expression of the form
\begin{verbatim}
if (a) { if (b) TRUE else FALSE }
\end{verbatim}
Similarly, in these languages the expression [[a || b]] is equivalent
to
\begin{verbatim}
if (a) TRUE else if (b) TRUE else FALSE
\end{verbatim}
Compilation of these expressions is thus reduced to compiling [[if]]
expressions.

Unfortunately, because of the possibility of [[NA]] values, these
equivalencies do not hold in R. In R, [[NA || TRUE]] should evaluate
to [[TRUE]] and [[NA && FALSE]] to [[FALSE]].  This is handled by
introducing special instructions [[AND1ST]] and [[AND2ND]] for [[&&]]
expressions and [[OR1ST]] and [[OR2ND]] for [[||]].

The code generator for [[&&]] expressions generates code to evaluate
the first argument and then emits an [[AND1ST]] instruction. The
[[AND1ST]] instruction has one operand, the label for the instruction
following code for the second argument.  If the value on the stack
produced by the first argument is [[FALSE]] then [[AND1ST]] jumps to
the label and skips evaluation of the second argument; the value of
the expression is [[FALSE]].  The code for the second argument is
generated next, followed by an [[AND2ND]] instruction.  This removes
the values of the two arguments to [[&&]] from the stack and pushes
the value of the expression onto the stack.  A [[RETURN]] instruction
is generated if the [[&&]] expression was in tail position.
%% **** check over all uses of argContext vs nonTailCallContext
%% **** The first argument can use nonTailCallCOntext because nothing
%% **** is on the stack yet.  The second one has to use argContext.
%% **** This wouldn't be an issue if break/next could reset the stack
%% **** before the jump.
<<inlining handler for [[&&]]>>=
setInlineHandler("&&", function(e, cb, cntxt) {
    ## **** arity check??
    ncntxt <- make.argContext(cntxt)
    callidx <- cb$putconst(e)
    label <- cb$makelabel()
    cmp(e[[2]], cb, ncntxt)
    cb$putcode(AND1ST.OP, callidx, label)
    cmp(e[[3]], cb, ncntxt)
    cb$putcode(AND2ND.OP, callidx)
    cb$putlabel(label)
    if (cntxt$tailcall)
        cb$putcode(RETURN.OP)
    TRUE
})
@ %def

The code generator for [[||]] expressions is analogous.
<<inlining handler for [[||]]>>=
setInlineHandler("||", function(e, cb, cntxt) {
    ## **** arity check??
    ncntxt <- make.argContext(cntxt)
    callidx <- cb$putconst(e)
    label <- cb$makelabel()
    cmp(e[[2]], cb, ncntxt)
    cb$putcode(OR1ST.OP, callidx, label)
    cmp(e[[3]], cb, ncntxt)
    cb$putcode(OR2ND.OP, callidx)
    cb$putlabel(label)
    if (cntxt$tailcall)
        cb$putcode(RETURN.OP)
    TRUE
})
@ %def


\section{Loops}
\label{sec:loops}
In principle code for [[repeat]] and [[while]] loops can be generated
using just [[GOTO]] and [[BRIFNOT]] instructions.  [[for]] loops
require a little more to manage the loop variable and termination.  A
complication arises due to the need to support [[break]] and [[next]]
calls in the context of lazy evaluation of arguments: if a [[break]]
or [[next]] expression appears in a function argument that is compiled
as a closure, then the expression may be evaluated deep inside a
series of nested function calls and require a non-local jump.  A
similar issue arises for calls to the [[return]] function as described
in Section \ref{subsec:return}.

To support these non-local jumps the interpreter sets up a [[setjmp]]
context for each loop, and [[break]] and [[next]] use [[longjmp]] to
transfer control.  In general, compiled loops need to use a similar
approach.  For now, this is implemented by the [[STARTLOOPCNTXT]] and
[[ENDLOOPCNTXT]] instructions.  The [[STARTLOOPCNTXT]] instructions
takes one argument, the constant pool index for a code object
implementing the loop body.  The loop body should end with a call to
[[ENDLOOPCNTXT]].

At least with some assumptions it is often possible to implement
[[break]] and [[next]] calls as simple [[GOTO]]s.  If all [[break]]
and [[next]] calls in a loop can be implemented using [[GOTO]]s then
the loop context is not necessary.  The mechanism to enable the
simpler code generation is presented in Section
\ref{subsec:skipcntxt}.

The current engine implementation executes one [[setjmp]] per
[[STARTLOOPCNTXT]] and uses nested calls to [[bceval]] to run the
code.  Eventually we should be able to reduce the need for nested
[[bceval]] calls and to arrange that [[setjmp]] buffers be reused for
multiple purposes.


\subsection{[[repeat]] loops}
The simplest loop in R is the [[repeat]] loop.  The code generator is
defined as
<<inlining handler for [[repeat]] loops>>=
setInlineHandler("repeat", function(e, cb, cntxt) {
    body <- e[[2]]
    <<generate context and body code for [[repeat]] loop>>
    <<generate [[repeat]] and [[while]] loop wrap-up code>>
    TRUE
})
@ %def

If a loop context is not needed then the code for the loop body is
just written to the original code buffer.  The [[else]] clause in the
code chunk below generates the code for the general case.  [[genCode]]
is used to produce a new code object containing code for the loop body
followed by the [[ENDLOOPCNTXT]] instruction, The code object is then
installed in the context pool.  The [[STARTLOOPCNTXT]] instruction is
emitted to the main code buffer.  When a separate code object is
written the need for using [[RETURNJMP]] for [[return]] calls is
indicated by setting the [[needRETURNJMP]] flag in the compiler
context to [[TRUE]].
<<generate context and body code for [[repeat]] loop>>=
if (checkSkipLoopCntxt(body, cntxt))
    cmpRepeatBody(body, cb, cntxt)
else {
    cntxt$needRETURNJMP <- TRUE ## **** do this a better way
    code <- genCode(body, cntxt,
                    function(cb, cntxt) {
                        cmpRepeatBody(body, cb, cntxt)
                        cb$putcode(ENDLOOPCNTXT.OP)
                    })
    bi <- cb$putconst(code)
    cb$putcode(STARTLOOPCNTXT.OP, bi)
}
@ %def

The loop body uses two labels. [[loop.label]] marks the top of the
loop and is the target of the [[GOTO]] instruction at the end of the
body.  This label is also used by [[next]] expressions that do not
require [[longjmp]]s.  The [[end.loop]] label is placed after the
[[GOTO]] instruction and is used by [[break]] expressions that do not
require [[longjmp]]s.  The body is compiled in a context that makes
these labels available, and the value left on the stack is removed by
a [[POP]] instruction.  The [[POP]] instruction is followed by a
[[GOTO]] instruction that returns to the top of the loop.
<<[[cmpRepeatBody]] function>>=
cmpRepeatBody <- function(body, cb, cntxt) {
    loop.label <- cb$makelabel()
    end.label <- cb$makelabel()
    cb$putlabel(loop.label)
    lcntxt <- make.loopContext(cntxt, loop.label, end.label)
    cmp(body, cb, lcntxt)
    cb$putcode(POP.OP)
    cb$putcode(GOTO.OP, loop.label)
    cb$putlabel(end.label)
}
@ %def cmpRepeatBody


The wrap-up code for the loop places the [[NULL]] value of the loop
expression on the stack and emits [[INVISIBLE]] and [[RETURN]]
instructions to return the value if the loop appears in tail position.
<<generate [[repeat]] and [[while]] loop wrap-up code>>=
cb$putcode(LDNULL.OP)
if (cntxt$tailcall) {
    cb$putcode(INVISIBLE.OP)
    cb$putcode(RETURN.OP)
}
@ %def

The [[break]] and [[next]] code generators emit [[GOTO]] instructions
if the loop information is available and the [[gotoOK]] compiler
context flag is [[TRUE]].  A warning is issued if no loop is visible
in the compilation context.
<<inlining handlers for [[next]] and [[break]]>>=
setInlineHandler("break", function(e, cb, cntxt) {
    if (is.null(cntxt$loop)) {
        notifyWrongBreakNext("break", cntxt)
        cmpSpecial(e, cb, cntxt)
    }
    else if (cntxt$loop$gotoOK) {
        cb$putcode(GOTO.OP, cntxt$loop$end)
        TRUE
    }
    else cmpSpecial(e, cb, cntxt)
})

setInlineHandler("next", function(e, cb, cntxt) {
    if (is.null(cntxt$loop)) {
        notifyWrongBreakNext("next", cntxt)
        cmpSpecial(e, cb, cntxt)
    }
    else if (cntxt$loop$gotoOK) {
        cb$putcode(GOTO.OP, cntxt$loop$loop)
        TRUE
    }
    else cmpSpecial(e, cb, cntxt)
})
@ %def


\subsection{[[while]] loops}
%% could just compile repeat{ if (condition) body else break } ??
The structure for the [[while]] loop code generator is similar to the
structure of the [[repeat]] code generator:
<<inlining handler for [[while]] loops>>=
setInlineHandler("while", function(e, cb, cntxt) {
    cond <- e[[2]]
    body <- e[[3]]
    <<generate context and body code for [[while]] loop>>
    <<generate [[repeat]] and [[while]] loop wrap-up code>>
    TRUE
})
@ %def
The context and body generation chunk is similar as well. The
expression stored in the code object isn't quite right as what is
compiled includes both the test and the body, but this code object
should not be externally visible.
<<generate context and body code for [[while]] loop>>=
if (checkSkipLoopCntxt(cond, cntxt) && checkSkipLoopCntxt(body, cntxt))
    cmpWhileBody(e, cond, body, cb, cntxt)
else {
    cntxt$needRETURNJMP <- TRUE ## **** do this a better way
    code <- genCode(body, cntxt, ## **** expr isn't quite right
                    function(cb, cntxt) {
                        cmpWhileBody(e, cond, body, cb, cntxt)
                        cb$putcode(ENDLOOPCNTXT.OP)
                    })
    bi <- cb$putconst(code)
    cb$putcode(STARTLOOPCNTXT.OP, bi)
}
@ %def

Again two labels are used, one at the top of the loop and one at the
end.  The [[loop.label]] is followed by code for the test.  Next is a
[[BRIFNOT]] instruction that jumps to the end of the loop if the value
left on the stack by the test is [[FALSE]].  This is followed by the
code for the body, a [[POP]] instruction, and a [[GOTO]] instruction
that jumps to the top of the loop. Finally, the [[end.label]] is
recorded.
<<[[cmpWhileBody]] function>>=
cmpWhileBody <- function(call, cond, body, cb, cntxt) {
    loop.label <- cb$makelabel()
    end.label <- cb$makelabel()
    cb$putlabel(loop.label)
    lcntxt <- make.loopContext(cntxt, loop.label, end.label)
    cmp(cond, cb, lcntxt)
    callidx <- cb$putconst(call)
    cb$putcode(BRIFNOT.OP, callidx, end.label)
    cmp(body, cb, lcntxt)
    cb$putcode(POP.OP)
    cb$putcode(GOTO.OP, loop.label)
    cb$putlabel(end.label)
}
@ cmpWhileBody


\subsection{[[for]] loops}
%% could compile repeat { if (stepfor) body else break } and peephole a bit ??
Code generation for [[for]] loops is a little more complex because of
the need to manage the loop variable value and stepping through the
sequence.  Code for [[for]] loops uses three additional instructions.
[[STARTFOR]] takes the constant pool index of the call, the constant
pool index of the loop variable symbol, and the label of the start
instruction as operands. It finds the sequence to iterate over on the
stack and places information for accessing the loop variable binding
and stepping the sequence on the stack before jumping to the label.
The call is used if an error for an improper for loop sequence needs
to be signaled.  The [[STEPFOR]] instruction takes a label for the top
of the loop as its operand.  If there are more elements in the
sequence then [[STEPFOR]] advances the position within the sequence,
sets the loop variable, and jumps to the top of the loop.  Otherwise
it drops through to the next instruction.  Finally [[ENDFOR]] cleans
up the loop information stored on the stack by [[STARTFOR]] and leaves
the [[NULL]] loop value on the stack.

The inlining handler for a [[for]] loop starts out by checking the
loop variable and issuing a warning if it is not a symbol.  The code
generator then declines to inline the loop expression.  This means it
is compiled as a generic function call and will signal an error at
runtime.  An alternative would be do generate code to signal the error
as is done with improper use of [[...]] arguments.  After checking the
symbol, code to compute the sequence to iterate over is generated.
From then on the structure is similar to the structure of the other
loop code generators.
%% **** do cmpSpecial instead of returning FALSE??
<<inlining handler for [[for]] loops>>=
setInlineHandler("for", function(e, cb, cntxt) {
    sym <- e[[2]]
    seq <- e[[3]]
    body <- e[[4]]
    if (! is.name(sym)) {
        ## not worth warning here since the parser should not allow this
        return(FALSE)
    }
    ncntxt <- make.nonTailCallContext(cntxt)
    cmp(seq, cb, ncntxt)
    ci <- cb$putconst(sym)
    callidx <- cb$putconst(e)
    <<generate context and body code for [[for]] loop>>
    <<generate [[for]] loop wrap-up code>>
    TRUE
})
@ %def

When a [[setjmp]] context is needed, the label given to [[STARTFOR]]
is just the following instruction, which is a [[STARTLOOPCNTXT]]
instruction.  If the context is not needed then the label for the
[[STARTFOR]] instruction will be the loop's [[STEPFOR]] instruction;
if the context is needed then the first instruction in the code object
for the body will be a [[GOTO]] instruction that jumps to the
[[STEPFOR]] instruction.  This design means the stepping and the jump
can be handled by one instruction instead of two, a step instruction
and a [[GOTO]].
<<generate context and body code for [[for]] loop>>=
if (checkSkipLoopCntxt(body, cntxt))
    cmpForBody(callidx, body, ci, cb, cntxt)
else {
    cntxt$needRETURNJMP <- TRUE ## **** do this a better way
    ctxt.label <- cb$makelabel()
    cb$putcode(STARTFOR.OP, callidx, ci, ctxt.label)
    cb$putlabel(ctxt.label)
    code <- genCode(body, cntxt, ## **** expr isn't quite right
                    function(cb, cntxt) {
                        cmpForBody(NULL, body, NULL, cb, cntxt)
                        cb$putcode(ENDLOOPCNTXT.OP)
                    })
    bi <- cb$putconst(code)
    cb$putcode(STARTLOOPCNTXT.OP, bi)
}
@ %def

The body code generator takes an additional argument, the index of the
loop label.  For the case where a [[setjmp]] context is needed this
argument is [[NULL]], and the first instruction generated is a
[[GOTO]] targeting the [[STEPFOR]] instruction.  This is labeled by
the [[loop.label]] label, since this will also be the target used by a
[[next]] expression. An additional label, [[body.label]] is needed for
the top of the loop, which is used by [[STEPFOR]] if there are more
loop elements to process.  When the [[ci]] argument is not [[NULL]]
code is being generated for the case without a [[setjmp]] context, and
the first instruction is the [[STARTFOR]] instruction which
initializes the loop and jumps to [[loop.label]] at the [[STEPLOOP]]
instruction.
<<[[cmpForBody]] function>>=
cmpForBody <- function(callidx, body, ci, cb, cntxt) {
    body.label <- cb$makelabel()
    loop.label <- cb$makelabel()
    end.label <- cb$makelabel()
    if (is.null(ci))
        cb$putcode(GOTO.OP, loop.label)
    else
        cb$putcode(STARTFOR.OP, callidx, ci, loop.label)
    cb$putlabel(body.label)
    lcntxt <- make.loopContext(cntxt, loop.label, end.label)
    cmp(body, cb, lcntxt)
    cb$putcode(POP.OP)
    cb$putlabel(loop.label)
    cb$putcode(STEPFOR.OP, body.label)
    cb$putlabel(end.label)
}
@ %def cmpForBody

The wrap-up code issues an [[ENDFOR]] instruction instead of the
[[LDNULL]] instruction used for [[repeat]] and [[while]] loops.
<<generate [[for]] loop wrap-up code>>=
cb$putcode(ENDFOR.OP)
if (cntxt$tailcall) {
    cb$putcode(INVISIBLE.OP)
    cb$putcode(RETURN.OP)
}
@ %def


\subsection{Avoiding runtime loop contexts}
\label{subsec:skipcntxt}
When all uses of [[break]] or [[next]] in a loop occur only in top
level contexts then all [[break]] and [[next]] calls can be
implemented with simple [[GOTO]] instructions and a [[setjmp]] context
for the loop is not needed. Top level contexts are the loop body
itself and argument expressions in top level calls to [[if]], [[{]],
and [[(]].  The [[switch]] functions will eventually be included as well.
%% **** need to add switch to the top level functions
%% **** may not be OK if switch uses vmpSpecial because of ... arg
The function [[checkSkipLoopContxt]] recursively traverses an
expression tree to determine whether all relevant uses of [[break]] or
[[next]] are safe to compile as [[GOTO]] instructions. The search
returns [[FALSE]] if a [[break]] or [[next]] call occurs in an unsafe
place.  The search stops and returns [[TRUE]] for any expression that
cannot contain relevant [[break]] or [[next]] calls.  These stop
expressions are calls to the three loop functions and to [[function]].
Calls to functions like [[quote]] that are known not to evaluate their
arguments could also be included among the stop functions but this
doesn't seem particularly worth while at this time.

The recursive checking function is defined as
<<[[checkSkipLoopCntxt]] function>>=
checkSkipLoopCntxt <- function(e, cntxt, breakOK = TRUE) {
    if (typeof(e) == "language") {
        fun <- e[[1]]
        if (typeof(fun) == "symbol") {
            fname <- as.character(fun)
            if (! breakOK && fname %in% c("break", "next"))
                FALSE
            else if (isLoopStopFun(fname, cntxt))
                TRUE
            else if (isLoopTopFun(fname, cntxt))
                checkSkipLoopCntxtList(e[-1], cntxt, breakOK)
            else
                checkSkipLoopCntxtList(e[-1], cntxt, FALSE)
        }
        else
            checkSkipLoopCntxtList(e, cntxt, FALSE)
    }
    else TRUE
}
@ %def checkSkipLoopCntxt
A version that operates on a list of expressions is given by
<<[[checkSkipLoopCntxtList]] function>>=
checkSkipLoopCntxtList <- function(elist, cntxt, breakOK) {
    for (a in as.list(elist))
        if (! missing(a) && ! checkSkipLoopCntxt(a, cntxt, breakOK))
            return(FALSE)
    TRUE
}
@ %def checkSkipLoopCntxtList

The stop functions are identified by [[isLoopStopFun]].  This uses
[[isBaseVar]] to ensure that interpreting a reference to a stop
function name as referring to the corresponding function in the
[[base]] package is permitted by the current optimization settings.
%% **** could also stop for quote() and some others.
<<[[isLoopStopFun]] function>>=
isLoopStopFun <- function(fname, cntxt)
    (fname %in% c("function", "for", "while", "repeat") &&
     isBaseVar(fname, cntxt))
@ %def isLoopStopFun

The top level functions are identified by [[isLoopTopFun]].  Again the
compilation context is consulted to ensure that candidate can be
assumed to be from the [[base]] package.
%% **** eventually add "switch"
<<[[isLoopTopFun]] function>>=
isLoopTopFun <- function(fname, cntxt)
    (fname %in% c("(", "{", "if") &&
     isBaseVar(fname, cntxt))
@ %def isLoopTopFun

The [[checkSkipLoopCntxt]] function does not check whether calls to
[[break]] or [[next]] are indeed calls to the [[base]] functions.
Given the special syntactic nature of [[break]] and [[next]] this is
very unlikely to cause problems, but if it does it will result in some
safe loops being considered unsafe and so errs in the conservative
direction.


\section{More inlining}

\subsection{Basic arithmetic expressions}
The addition and subtraction functions [[+]] and [[-]] are [[BUILTIN]]
functions that can both be called with one or two arguments.
Multiplication and division functions [[*]] and [[/]] require two
arguments.  Since code generation for all one arguments cases and all
two argument cases is very similar these are abstracted out into
functions [[cmpPrim1]] and [[cmpPrim2]].

The code generators for addition and subtraction are given by
<<inline handlers for [[+]] and [[-]]>>=
setInlineHandler("+", function(e, cb, cntxt) {
    if (length(e) == 3)
        cmpPrim2(e, cb, ADD.OP, cntxt)
    else
        cmpPrim1(e, cb, UPLUS.OP, cntxt)
})

setInlineHandler("-", function(e, cb, cntxt) {
    if (length(e) == 3)
        cmpPrim2(e, cb, SUB.OP, cntxt)
    else
        cmpPrim1(e, cb, UMINUS.OP, cntxt)
})
@ %def
The code generators for multiplication and division are
<<inline handlers for [[*]] and [[/]]>>=
setInlineHandler("*", function(e, cb, cntxt)
    cmpPrim2(e, cb, MUL.OP, cntxt))

setInlineHandler("/", function(e, cb, cntxt)
    cmpPrim2(e, cb, DIV.OP, cntxt))
@ %def

Code for instructions corresponding to calls to a [[BUILTIN]] function
with one argument are generated by [[cmpPrim1]]. The generator
produces code for a generic [[BUILTIN]] call using [[cmpBuiltin]] if
if there are any missing or [[...]] arguments or if the number of
arguments is not equal to one.  Otherwise code for the argument is
generated in a non-tail-call context, and the instruction provided as
the [[op]] argument is emitted followed by a [[RETURN]] instruction
for an expression in tail position. The [[op]] instructions take the
call as operand for use in error message and for internal dispatching.
<<[[cmpPrim1]] function>>=
cmpPrim1 <- function(e, cb, op, cntxt) {
    if (dots.or.missing(e[-1]))
        cmpBuiltin(e, cb, cntxt)
    else if (length(e) != 2) {
        notifyWrongArgCount(e[[1]], cntxt)
        cmpBuiltin(e, cb, cntxt)
    }
    else {
        ncntxt <- make.nonTailCallContext(cntxt)
        cmp(e[[2]], cb, ncntxt);
	ci <- cb$putconst(e)
        cb$putcode(op, ci)
        if (cntxt$tailcall)
            cb$putcode(RETURN.OP)
        TRUE
    }
}
@ %def cmpPrim1

Code generation for the two argument case is similar, except that the
second argument has to be compiled with an argument context since the
stack already has the value of the first argument on it and that would
need to be popped before a jump.
<<[[cmpPrim2]] function>>=
cmpPrim2 <- function(e, cb, op, cntxt) {
    if (dots.or.missing(e[-1]))
        cmpBuiltin(e, cb, cntxt)
    else if (length(e) != 3) {
        notifyWrongArgCount(e[[1]], cntxt)
        cmpBuiltin(e, cb, cntxt)
    }
    else {
        ncntxt <- make.nonTailCallContext(cntxt)
        cmp(e[[2]], cb, ncntxt);
        ncntxt <- make.argContext(cntxt)
        cmp(e[[3]], cb, ncntxt)
        ci <- cb$putconst(e)
        cb$putcode(op, ci)
        if (cntxt$tailcall)
            cb$putcode(RETURN.OP)
        TRUE
    }
}
@ %def cmpPrim2

Calls to the power function [[^]] and the functions [[exp]] and
[[sqrt]] can be compiled using [[cmpPrim1]] and [[cmpPrim2]] as well:
<<inline handlers for [[^]], [[exp]], and [[sqrt]]>>=
setInlineHandler("^", function(e, cb, cntxt)
    cmpPrim2(e, cb, EXPT.OP, cntxt))

setInlineHandler("exp", function(e, cb, cntxt)
    cmpPrim1(e, cb, EXP.OP, cntxt))

setInlineHandler("sqrt", function(e, cb, cntxt)
    cmpPrim1(e, cb, SQRT.OP, cntxt))
@ 

The [[log]] function is currently defined as a [[SPECIAL]].  The
default inline handler action is therefore to use [[cmpSpecial]]. For
calls with one unnamed argument the [[LOG.OP]] instruction is
used. For two unnamed arguments [[LOGBASE.OP]] is used. It might be
useful to introduce instructions for [[log2]] and [[log10]] as well
but this has not been done yet.
<<inline handler for [[log]]>>=
setInlineHandler("log", function(e, cb, cntxt) {
    if (dots.or.missing(e) || ! is.null(names(e)) ||
        length(e) < 2 || length(e) > 3)
        cmpSpecial(e, cb, cntxt)
    else {
        ci <- cb$putconst(e)
        ncntxt <- make.nonTailCallContext(cntxt)
        cmp(e[[2]], cb, ncntxt);
        if (length(e) == 2)
            cb$putcode(LOG.OP, ci)
        else {
            ncntxt <- make.argContext(cntxt)
            cmp(e[[3]], cb, ncntxt)
            cb$putcode(LOGBASE.OP, ci)
        }
        if (cntxt$tailcall)
            cb$putcode(RETURN.OP)
        TRUE
    }
})
@ 

A number of one argument math functions are handled by the interpreter
using the function [[math1]] in [[arithmetic.c]]. The [[MATH1.OP]]
instruction handles these for compuled code. The instruction takes two
operands, an index for the call expression in the constant table, and
an index for the function to be called in a table of function
pointers. The table of names in the byte code compiler has to match
the function pointer array in the byte code interpreter.  It would
have been possible to use the same indices as the offset values used
in [[names.c]], but keeping this consistent seemed more challenging.
<<list of one argument math functions>>=
## Keep the order consistent with the order in the internal byte code
## interpreter!
math1funs <- c("floor", "ceiling", "sign",
               "expm1", "log1p",
               "cos", "sin", "tan", "acos", "asin", "atan",
               "cosh", "sinh", "tanh", "acosh", "asinh", "atanh",
               "lgamma", "gamma", "digamma", "trigamma",
               "cospi", "sinpi", "tanpi")
@ %def math1funs

The code generation is done by [[cmpMath1]]:
<<[[cmpMath1]] function>>=
cmpMath1 <- function(e, cb, cntxt) {
    if (dots.or.missing(e[-1]))
        cmpBuiltin(e, cb, cntxt)
    else if (length(e) != 2) {
        notifyWrongArgCount(e[[1]], cntxt)
        cmpBuiltin(e, cb, cntxt)
    }
    else {
        name <- as.character(e[[1]])
        idx <- match(name, math1funs) - 1
        if (is.na(idx))
            stop(sQuote(name), "is not a registered math1 function")
        ncntxt <- make.nonTailCallContext(cntxt)
        cmp(e[[2]], cb, ncntxt);
        ci <- cb$putconst(e)
        cb$putcode(MATH1.OP, ci, idx)
        if (cntxt$tailcall)
            cb$putcode(RETURN.OP)
        TRUE
    }
}
@ %def cmpMath1
The generators are installed by
<<inline one argument math functions>>=
for (name in math1funs)
    setInlineHandler(name, cmpMath1)
@ 

\subsection{Logical operators}
Two argument instructions are provided for the comparison operators
and code for them can be generated using [[cmpPrim2]]:
<<inline handlers for comparison operators>>=
setInlineHandler("==", function(e, cb, cntxt)
   cmpPrim2(e, cb, EQ.OP, cntxt))

setInlineHandler("!=", function(e, cb, cntxt)
   cmpPrim2(e, cb, NE.OP, cntxt))

setInlineHandler("<", function(e, cb, cntxt)
   cmpPrim2(e, cb, LT.OP, cntxt))

setInlineHandler("<=", function(e, cb, cntxt)
   cmpPrim2(e, cb, LE.OP, cntxt))

setInlineHandler(">=", function(e, cb, cntxt)
   cmpPrim2(e, cb, GE.OP, cntxt))

setInlineHandler(">", function(e, cb, cntxt)
   cmpPrim2(e, cb, GT.OP, cntxt))
@ %def

The vectorized [[&]] and [[|]] functions are handled similarly:
<<inline handlers for [[&]] and [[|]]>>=
setInlineHandler("&", function(e, cb, cntxt)
   cmpPrim2(e, cb, AND.OP, cntxt))

setInlineHandler("|", function(e, cb, cntxt)
   cmpPrim2(e, cb, OR.OP, cntxt))
@ %def

The negation operator [[!]] takes only one argument and code for calls
to it are generated using [[cmpPrim1]]:
<<inline handler for [[!]]>>=
setInlineHandler("!", function(e, cb, cntxt)
   cmpPrim1(e, cb, NOT.OP, cntxt))
@ %def

%% **** do log() somewhere around here?
%% **** is log(x,) == log(x)???
%% **** is log(,y) allowed?


\subsection{Subsetting and related operations}
\label{subsec:subset}
Current R semantics are such that the subsetting operator [[[]] and a
number of others may not evaluate some of their arguments if S3 or S4
methods are available.  S-plus has different semantics---there the
subsetting operator is guaranteed to evaluate its arguments.
% In the case of the concatenation function [[c]] it is not clear
% whether these semantics are worth preserving; changing [[c]] to a
% [[BUILTIN]] seems to cause no problems on [[CRAN]] and [[BioC]]
% packages tested.
For subsetting there are [[CRAN]] packages that use non-standard
evaluation of their arguments ([[igraph]] is one example), so this
probably can no longer be changed.

The compiler preserve these semantics.  To do so subsetting is
implemented in terms of two instructions, [[STARTSUBSET]] and
[[DFLTSUBSET]].  The object being subsetted is evaluated and placed on
the stack. [[STARTSUBSET]] takes a constant table index for the
expression and a label operand as operands and examines the object on
the stack.  If an internal S3 or S4 dispatch succeeds then the
receiver object is removed and the result is placed on the stack and a
jump to the label is carried out.  If the dispatch fails then code to
evaluate and execute the arguments is executed followed by a
[[DFLTSUBSET]] instruction.
This pattern is used for several other operations and is abstracted
into the code generation function [[cmpDispatch]]. Code for subsetting
and other operations is then generated by
<<inlining handlers for some dispatching SPECIAL functions>>=
# **** this is now handled differently; see "Improved subset ..."
# setInlineHandler("[", function(e, cb, cntxt)
#     cmpDispatch(STARTSUBSET.OP, DFLTSUBSET.OP, e, cb, cntxt))

# **** c() is now a BUILTIN
# setInlineHandler("c", function(e, cb, cntxt)
#     cmpDispatch(STARTC.OP, DFLTC.OP, e, cb, cntxt, FALSE))

# **** this is now handled differently; see "Improved subset ..."
# setInlineHandler("[[", function(e, cb, cntxt)
#     cmpDispatch(STARTSUBSET2.OP, DFLTSUBSET2.OP, e, cb, cntxt))
@ 

The [[cmpDispatch]] function takes the two opcodes as arguments.  It
declines to handle cases with [[...]] arguments in the call or with a
missing first argument --- these will be handled as calls to a
[[SPECIAL]] primitive. For the case handled it generates code for the
first argument, followed by a call to the first [[start.op]]
instruction.  The operands for the [[start.op]] are a constant pool
index for the expression and a label for the instruction following the
[[dflt.op]] instruction that allows skipping over the default case
code. The default case code consists of code to compute and push the
arguments followed by the [[dflt.op]] instruction.
<<[[cmpDispatch]] function>>=
cmpDispatch <- function(start.op, dflt.op, e, cb, cntxt, missingOK = TRUE) {
    if ((missingOK && any.dots(e)) ||
        (! missingOK && dots.or.missing(e)) ||
        length(e) == 1)
        cmpSpecial(e, cb, cntxt) ## punt
    else {
        ne <- length(e)
        oe <- e[[2]]
        if (missing(oe))
            cmpSpecial(e, cb, cntxt) ## punt
        else {
            ncntxt <- make.argContext(cntxt)
            cmp(oe, cb, ncntxt)
            ci <- cb$putconst(e)
            end.label <- cb$makelabel()
            cb$putcode(start.op, ci, end.label)
            if (ne > 2)
                cmpBuiltinArgs(e[-(1:2)], names(e)[-(1:2)], cb, cntxt,
                               missingOK)
            cb$putcode(dflt.op)
            cb$putlabel(end.label)
            if (cntxt$tailcall) cb$putcode(RETURN.OP)
            TRUE
        }
    }
}
@ %def cmpDispatch
%% **** The implementation currently implies that arguments to things
%% **** with S4 methods may be evaluated more than once if dispatch
%% **** does not happen.  It would be better to rewrite this so if
%% **** arguments are evaluated we stay with the interpreted version
%% **** all the way.  This requires a bit of refactoring of
%% **** DispatchOrEval code to get it to work. But it should not
%% **** affect the compiler.
%% ****
%% **** There may be some merit to always go with the interpreted code
%% **** if the receiver has the object bit set -- that way the
%% **** sequence could be done as
%% ****
%% ****     if (object bit set)
%% ****         CALLSPECIAL
%% ****     else
%% ****         do default thing
%% ****
%% **** and in some cases the object bit test can be hoisted.

The [[$]] function is simpler to implement since its selector argument
is never evaluated.  The [[DOLLAR]] instruction takes the object to
extract a component from off the stack and takes a constant index
argument specifying the selection symbol.
%% signal warning if selector is not a symbol or a string??
%% also decline if any missing args?
<<inlining handler for [[$]]>>=
setInlineHandler("$", function(e, cb, cntxt) {
    if (any.dots(e) || length(e) != 3)
        cmpSpecial(e, cb, cntxt)
    else {
        sym <- if (is.character(e[[3]]))
            as.name(e[[3]]) else e[[3]]
        if (is.name(sym)) {
            ncntxt <- make.argContext(cntxt)
            cmp(e[[2]], cb, ncntxt)
            ci <- cb$putconst(e)
            csi <- cb$putconst(sym)
            cb$putcode(DOLLAR.OP, ci, csi)
            if (cntxt$tailcall) cb$putcode(RETURN.OP)
            TRUE
        }
        else cmpSpecial(e, cb, cntxt)
    }
})
@ %def


\subsection{Inlining simple [[.Internal]] functions}
A number of functions are defined as simple wrappers around
[[.Internal]] calls. One example is [[dnorm]], which is currently
defined as
\begin{verbatim}
dnorm <- function (x, mean = 0, sd = 1, log = FALSE) 
    .Internal(dnorm(x, mean, sd, log))
\end{verbatim}
The implementation of [[.Internal]] functions can be of type
[[BUILTIN]] or [[SPECIAL]].  The [[dnorm]] implementation is of type
[[BUILTIN]], so its arguments are guaranteed to be evaluated in order,
and this particular function doe not depend on the position of its
calls in the evaluation stack. As a result, a call of the form
\begin{verbatim}
dnorm(2, 1)
\end{verbatim}
can be replaced by the call
\begin{verbatim}
.Internal(dnorm(2, 1, 1, FALSE))
\end{verbatim}
%% **** except for error messages maybe??
This can result in considerable speed-up since it avoids the overhead
of the call to the wrapper function.

The substitution of a call to the wrapper with a [[.Internal]] call
can be done by a function [[inlineSimpleInternalCall]] defined as
<<[[inlineSimpleInternalCall]] function>>=
inlineSimpleInternalCall <- function(e, def) {
    if (! dots.or.missing(e) && is.simpleInternal(def)) {
        forms <- formals(def)
        fnames <- names(forms)
        b <- body(def)
        if (typeof(b) == "language" && length(b) == 2 && b[[1]] == "{")
            b <- b[[2]]
        icall <- b[[2]]
        defaults <- forms ## **** could strip missings but OK not to?
        cenv <- c(as.list(match.call(def, e, F))[-1], defaults)
        subst <- function(n)
            if (typeof(n) == "symbol") cenv[[as.character(n)]] else n
        args <- lapply(as.list(icall[-1]), subst)
        as.call(list(quote(.Internal), as.call(c(icall[[1]], args))))
    }
    else NULL
}
@ %def inlineSimpleInternalCall

Code for an inlined simple internal function can then be generated by
[[cmpSimpleInternal]]:
<<[[cmpSimpleInternal]] function>>=
cmpSimpleInternal <- function(e, cb, cntxt) {
    if (any.dots(e))
        FALSE
    else {
        name <- as.character(e[[1]])
        def <- findFunDef(name, cntxt)
        if (! checkCall(def, e, NULL)) return(FALSE)
        call <- inlineSimpleInternalCall(e, def)
        if (is.null(call))
            FALSE
        else {
            cmp(call, cb, cntxt)
            TRUE
        }
    }
}
@ %def cmpSimpleInternal

<<inline safe simple [[.Internal]] functions from [[base]]>>=
safeBaseInternals <- c("atan2", "besselY", "beta", "choose",
                       "drop", "inherits", "is.vector", "lbeta", "lchoose",
                       "nchar", "polyroot", "typeof", "vector", "which.max",
                       "which.min", "is.loaded", "identical")

for (i in safeBaseInternals) setInlineHandler(i,  cmpSimpleInternal)
@ %def safeBaseInternals

%% **** nextn would also be OK with a broader definition of 'safe'
<<inline safe simple [[.Internal]] functions from [[stats]]>>=
safeStatsInternals <- c("dbinom", "dcauchy", "dgeom", "dhyper", "dlnorm",
                        "dlogis", "dnorm", "dpois", "dunif", "dweibull",
                        "fft", "mvfft", "pbinom", "pcauchy",
                        "pgeom", "phyper", "plnorm", "plogis", "pnorm",
                        "ppois", "punif", "pweibull", "qbinom", "qcauchy",
                        "qgeom", "qhyper", "qlnorm", "qlogis", "qnorm",
                        "qpois", "qunif", "qweibull", "rbinom", "rcauchy",
                        "rgeom", "rhyper", "rlnorm", "rlogis", "rnorm",
                        "rpois", "rsignrank",  "runif", "rweibull",
                        "rwilcox", "ptukey", "qtukey")

for (i in safeStatsInternals) setInlineHandler(i,  cmpSimpleInternal, "stats")
@ %def

It is possible to automate the process of identifying functions with
the simple wrapper form and with [[.Internal]] implementations of type
[[BUILTIN]], and the function [[simpleInternals]] produces a list of
such candidates for a given package on the search path.  But
determining whether such a candidate can be safely inlined needs to be
done manually.  Most can, but some, such as [[sys.call]], cannot since
they depend on their position on the call stack (removing the wrapper
call that the implementation expects would change the result).
Nevertheless, [[simpleInternals]] is useful for providing a list of
candidates to screen. The [[is.simpleInternal]] function can be used
in test code to check that the assumption made in the compiler is
valid.  The implementation is
<<[[simpleInternals]] function>>=
simpleInternals <- function(pos = "package:base") {
    names <- ls(pos = pos, all = T)
    if (length(names) == 0)
        character(0)
    else {
        fn <-  function(n)
            is.simpleInternal(get(n, pos = pos))
        names[sapply(names, fn)]
    }
}
@ %def simpleInternals

<<[[is.simpleInternal]] function>>=
is.simpleInternal <- function(def) {
    if (typeof(def) == "closure" && simpleFormals(def)) {
        b <- body(def)
        if (typeof(b) == "language" && length(b) == 2 && b[[1]] == "{")
            b <- b[[2]]
        if (typeof(b) == "language" &&
            typeof(b[[1]]) == "symbol" &&
            b[[1]] == ".Internal") {
            icall <- b[[2]]
            ifun <- icall[[1]]
            typeof(ifun) == "symbol" &&
            .Internal(is.builtin.internal(as.name(ifun))) &&
            simpleArgs(icall, names(formals(def)))
        }
        else FALSE
    }
    else FALSE
}
@ %def is.simpleInternal

<<[[simpleFormals]] function>>=
simpleFormals <- function(def) {
    forms <- formals(def)
    if ("..." %in% names(forms))
        return(FALSE)
    for (d in as.list(forms)) {
        if (! missing(d)) {
            ## **** check constant folding
            if (typeof(d) %in% c("symbol", "language", "promise", "bytecode"))
                return(FALSE)
        }
    }
    TRUE
}
@ %def simpleFormals

<<[[simpleArgs]] function>>=
simpleArgs <- function(icall, fnames) {
    for (a in as.list(icall[-1])) {
        if (missing(a))
            return(FALSE)
        else if (typeof(a) == "symbol") {
            if (! (as.character(a) %in% fnames))
                return(FALSE)
        }
        else if (typeof(a) %in% c("language", "promise", "bytecode"))
            return(FALSE)
    }
    TRUE
}
@ %def simpleArgs


\subsection{Inlining [[is.xyz]] functions}
Most of the [[is.xyz]] functions in [[base]] are simple [[BUILTIN]]s
that do not do internal dispatch.  They have simple instructions
defined for them and are compiled in a common way.  [[cmpIs]] abstract
out the common compilation process.
<<[[cmpIs]] function>>=
cmpIs <- function(op, e, cb, cntxt) {
    if (any.dots(e) || length(e) != 2)
        cmpBuiltin(e, cb, cntxt)
    else {
        ## **** check that the function is a builtin somewhere??
        s<-make.argContext(cntxt)
        cmp(e[[2]], cb, s)
        cb$putcode(op)
        if (cntxt$tailcall) cb$putcode(RETURN.OP)
        TRUE
    }
}
@ %def cmpIs

Inlining handlers are then defined by
<<inlining handlers for [[is.xyz]] functions>>=
setInlineHandler("is.character", function(e, cb, cntxt)
    cmpIs(ISCHARACTER.OP, e, cb, cntxt))
setInlineHandler("is.complex", function(e, cb, cntxt)
    cmpIs(ISCOMPLEX.OP, e, cb, cntxt))
setInlineHandler("is.double", function(e, cb, cntxt)
    cmpIs(ISDOUBLE.OP, e, cb, cntxt))
setInlineHandler("is.integer", function(e, cb, cntxt)
    cmpIs(ISINTEGER.OP, e, cb, cntxt))
setInlineHandler("is.logical", function(e, cb, cntxt)
    cmpIs(ISLOGICAL.OP, e, cb, cntxt))
setInlineHandler("is.name", function(e, cb, cntxt)
     cmpIs(ISSYMBOL.OP, e, cb, cntxt))
setInlineHandler("is.null", function(e, cb, cntxt)
    cmpIs(ISNULL.OP, e, cb, cntxt))
setInlineHandler("is.object", function(e, cb, cntxt)
    cmpIs(ISOBJECT.OP, e, cb, cntxt))
setInlineHandler("is.symbol", function(e, cb, cntxt)
    cmpIs(ISSYMBOL.OP, e, cb, cntxt))
@ %def

At present [[is.numeric]], [[is.matrix]], and [[is.array]] do internal
dispatching so we just handle them as ordinary [[BUILTIN]]s.  It might
be worth defining virtual machine instructions for them as well.


\subsection{Inline handler for calling C functions}
The [[.Call]] interface is now the preferred interface for calling C
functions and is also used in base packages like [[stat]]. The
[[DOTCALL.OP]] instruction allows these calls to be made without
allocating a list of arguments---the arguments are accumulated on the
stack. For now only 16 or fewer arguments are handled; more arguments,
and cases with named arguments, are handled by the standard [[.Call]]
[[BUILTIN]].
<<inline handler for [[.Call]]>>=
setInlineHandler(".Call", function(e, cb, cntxt) {
    nargsmax <- 16 ## should match DOTCALL_MAX in eval.c
    if (dots.or.missing(e[-1]) || ! is.null(names(e)) ||
        length(e) < 2 || length(e) > nargsmax + 2)
        cmpBuiltin(e, cb, cntxt) ## punt
    else {
        ncntxt <- make.nonTailCallContext(cntxt)
        cmp(e[[2]], cb, ncntxt);
        nargs <- length(e) - 2
        if (nargs > 0) {
            ncntxt <- make.argContext(cntxt)
            for (a in as.list(e[-(1:2)]))
                cmp(a, cb, ncntxt);
        }
        ci <- cb$putconst(e)
        cb$putcode(DOTCALL.OP, ci, nargs)
        if (cntxt$tailcall)
            cb$putcode(RETURN.OP)
        TRUE
    }
})
@


\subsection{Inline handlers for generating integer sequences}
The colon operator and the [[BUILTIN]] functions [[seq_along]] and
[[seq_len]] generate sequences (the sequence might not be integers if
long vectors are involved or the colon operator is given no-integer
arguments). The [[COLON.OP]], [[SEQALONG.OP]], and [[SEQLEN.OP]]
instructions implement these operations in byte code. This allows an
implementation in which the result stored on the stack is not a fully
realized sequence but only a recipe that the [[for]] loop, for
example, can use to run the loop without generating the sequence.
This is optionally implemented in the byte code interpreter. It would
also be possible to allow the compact sequence representation to be
stored in variables, etc., but this would require more extensive
changes.
<<inline handlers for integer sequences>>=
setInlineHandler(":", function(e, cb, cntxt)
    cmpPrim2(e, cb, COLON.OP, cntxt))

setInlineHandler("seq_along", function(e, cb, cntxt)
    cmpPrim1(e, cb, SEQALONG.OP, cntxt))

setInlineHandler("seq_len", function(e, cb, cntxt)
    cmpPrim1(e, cb, SEQLEN.OP, cntxt))
@

\subsection{Inlining handlers for controlling warnings}
The inlining handlers in this section do not actually affect code
generation. Their purpose is to suppress warnings.

Compiling calls to the [[::]] and [[:::]] functions without special
handling would generate undefined variable warnings for the arguments.
This is avoided by converting the arguments from symbols to strings,
which these functions would do anyway at runtime, and then compiling
the modified calls. The common process is handled by [[cmpMultiColon]].
<<[[cmpMultiColon]] function>>=
cmpMultiColon <- function(e, cb, cntxt) {
    if (! dots.or.missing(e) && length(e) == 3) {
	goodType <- function(a)
	    typeof(a) == "symbol" ||
	    (typeof(a) == "character" && length(a) == 1)
        fun <- e[[1]]
        x <- e[[2]]
	y <- e[[3]]
	if (goodType(x) && goodType(y)) {
	    args <- list(as.character(x), as.character(y))
            cmpCallSymFun(fun, args, e, cb, cntxt)
	    TRUE
	}
	else FALSE
    }
    else FALSE
}
@ %def cmpMultiColon
Code generators are then registered by
<<inlining handlers for [[::]] and [[:::]]>>=
setInlineHandler("::", cmpMultiColon)
setInlineHandler(":::", cmpMultiColon)
@ 

Calls to with will often generate spurious undefined variable warning
for variables appearing in the expression argument.  A crude approach
is to compile the entire call with undefined variable warnings
suppressed.
<<inlining handler for [[with]]>>=
setInlineHandler("with", function(e, cb, cntxt) {
    cntxt$suppressUndefined <- TRUE
    cmpCallSymFun(e[[1]], e[-1], e, cb, cntxt)
    TRUE
})
@ 

A similar issue arises for [[require]], where an unquoted argument is
often used.
<<inlining handler for [[require]]>>=
setInlineHandler("require", function(e, cb, cntxt) {
    cntxt$suppressUndefined <- TRUE
    cmpCallSymFun(e[[1]], e[-1], e, cb, cntxt)
    TRUE
})
@ 


\section{The [[switch]] function}
The [[switch]] function has somewhat awkward semantics that vary
depending on whether the value of the first argument is a character
string or is numeric.  For a string all or all but one of the
alternatives must be named, and empty case arguments are allowed and
result in falling through to the next non-empty case.  In the numeric
case selecting an empty case produces an error.  If there is more than
one alternative case and no cases are named then a character selector
argument will produce an error, so one can assume that a numeric
switch is intended.  But a [[switch]] with named arguments can be used
with a numeric selector, so it is not in general possible to determine
the intended type of the [[switch]] call from the structure of the
call alone.  The compiled code therefore has to allow for both
possibilities.

The inlining handler goes through a number of steps collecting and
processing information computed from the call and finally emits code
for the non-empty alternatives.  If the [[switch]] expression appears
in tail position then each alternative will end in a [[RETURN]]
instruction.  If the call is not in tail position then each
alternative will end with a [[GOTO]] than jumps to a label placed
after the code for the final alternative.
<<inline handler for [[switch]]>>=
setInlineHandler("switch", function(e, cb, cntxt) {
    if (length(e) < 2 || any.dots(e))
        cmpSpecial(e, cb, cntxt)
    else {
        ## **** check name on EXPR, if any, partially matches EXPR?
        <<extract the [[switch]] expression components>>

        <<collect information on named alternatives>>

        <<create the labels>>

        <<create the map from names to labels for a character switch>>

        <<emit code for the [[EXPR]] argument>>

        <<emit the switch instruction>>

        <<emit error code for empty alternative in numerical switch>>

        <<emit code for the default case>>

        <<emit code for non-empty alternatives>>

        if (! cntxt$tailcall)
            cb$putlabel(endLabel)
    }
    TRUE
})
@ 

The first step in processing the [[switch]] expression is to extract
the selector expression [[expr]] and the case expressions, to identify
which, if any, of the cases are empty, and to extract the names of the
cases as [[nm]].  A warning is issued if there are no cases.  If there
is only one case and that case is not named then setting [[nm = ""]]
allows this situation to be processed by code used when names are
present.
<<extract the [[switch]] expression components>>=
expr <- e[[2]]
cases <-e[-c(1, 2)]

if (is.null(cases))
    notifyNoSwitchcases(cntxt)

miss <- missingArgs(cases)
nm <- names(cases)

## allow for corner cases like switch(x, 1) which always
## returns 1 if x is a character scalar.
if (is.null(nm) && length(cases) == 1)
    nm <- ""
@ %def

The next step in the case where some cases are named is to check for a
default expression.  If there is more than one expression then the
[[switch]] is compiled by [[cmpSpecial]].  This avoids having to
reproduce the runtime error that would be generated if the [[switch]]
is called with a character selector.
%% **** would probably be better to not punt though -- then we could
%% **** allow break/next to use GOTO
<<collect information on named alternatives>>=
## collect information on named alternatives and check for
## multiple default cases.
if (! is.null(nm)) {
    haveNames <- TRUE
    ndflt <- sum(nm == "")
    if (ndflt > 1) {
        notifyMultipleSwitchDefaults(ndflt, cntxt)
        ## **** punt back to interpreted version for now to get
        ## **** runtime error message for multiple defaults
        cmpSpecial(e, cb, cntxt)
        return(TRUE)
    }
    if (ndflt > 0)
        haveCharDflt <- TRUE
    else
        haveCharDflt <- FALSE
}
else {
    haveNames <- FALSE
    haveCharDflt <- FALSE
}
@ %def

Next the labels are generated.  [[missLabel]] will be the label for
code that signals an error if a numerical selector expression chooses
a case with an empty argument.  The label [[dfltLabel]] will be for
code that invisibly procures the value [[NULL]], which is the default
case for a numerical selector argument and also for a character
selector when no unnamed default case is provided. All non-empty cases
are given their own labels, and [[endLabel]] is generated if it will
be needed as the [[GOTO]] target for a [[switch]] expression that is
not in tail position.
<<create the labels>>=
## create the labels
if (any(miss))
    missLabel <- cb$makelabel()
dfltLabel <- cb$makelabel()

lab <- function(m)
    if (m) missLabel
    else cb$makelabel()
labels <- c(lapply(miss, lab), list(dfltLabel))

if (! cntxt$tailcall)
    endLabel <- cb$makelabel()
@ %def

When there are named cases a map from the case names to the
corresponding code labels is constructed next.  If no unnamed default
was provided one is added that uses the [[dfltLabel]].
<<create the map from names to labels for a character switch>>=
## create the map from names to labels for a character switch
if (haveNames) {
    unm <- unique(nm[nm != ""])
    if (haveCharDflt)
        unm <- c(unm, "")
    nlabels <- labels[unlist(lapply(unm, findActionIndex, nm, miss))]
    ## if there is no unnamed case to act as a default for a
    ## character switch then the numeric default becomes the
    ## character default as well.
    if (! haveCharDflt) {
        unm <- c(unm, "")
        nlabels <- c(nlabels, list(dfltLabel))
    }
}
else {
    unm <- NULL
    nlabels <- NULL
}
@ %def
The computation of the index of the appropriate label for a given name
is carried out by [[findActionIndex]].
%% **** rewrite this to directly return the label?
<<[[findActionIndex]] function>>=
findActionIndex <- function(name, nm, miss) {
    start <- match(name, nm)
    aidx <- c(which(! miss), length(nm) + 1)
    min(aidx[aidx >= start])
}
@ %def findActionIndex

At this point we are ready to start emitting code into the code
buffer.  First code to compute the selector is emitted.  As with the
condition for an [[if]] expression a non-tail-call context is used.
<<emit code for the [[EXPR]] argument>>=
## compile the EXPR argument
ncntxt <- make.nonTailCallContext(cntxt)
cmp(expr, cb, ncntxt)
@ %def

The switch instruction takes the selector off the stack and four
operands from the instruction stream: the call index, an index for the
names, or [[NULL]] if there are none, and indices for the labels for a
character selector and for a numeric selector.  At this point lists of
labels are placed in the instruction buffer.  At code extraction time
these will be replaced by indices for numeric offset vectors by the
[[patchlables]] function of the code buffer.
<<emit the switch instruction>>=
## emit the SWITCH instruction
cei <- cb$putconst(e)
if (haveNames) {
    cni <- cb$putconst(unm)
    cb$putcode(SWITCH.OP, cei, cni, nlabels, labels)
}
else {
    cni <- cb$putconst(NULL)
    cb$putcode(SWITCH.OP, cei, cni, cni, labels)
}
@ %def

If there are empty alternatives then code to signal an error for a
numeric selector that chooses one of these is needed and is
identified by the label [[missLabel]].
<<emit error code for empty alternative in numerical switch>>=
## emit code to signal an error if a numeric switch hist an
## empty alternative (fall through, as for character, might
## make more sense but that isn't the way switch() works)
if (any(miss)) {
    cb$putlabel(missLabel)
    cmp(quote(stop("empty alternative in numeric switch")), cb, cntxt)
}
@ %def

Code for the numeric default case, corresponding to [[dfltLabel]],
places [[NULL]] on the stack, and for a [[switch]] in tail position
this is followed by an [[INVISIBLE]] and a [[RETURN]] instruction.
<<emit code for the default case>>=
## emit code for the default case
cb$putlabel(dfltLabel)
cb$putcode(LDNULL.OP)
if (cntxt$tailcall) {
    cb$putcode(INVISIBLE.OP)
    cb$putcode(RETURN.OP)
}
else
    cb$putcode(GOTO.OP, endLabel)
@ %def

Finally the labels and code for the non-empty alternatives are written
to the code buffer.  In non-tail position the code is followed by a
[[GOTO]] instruction that jumps to [[endLabel]].  The final case does
not need this [[GOTO]].
%% **** maybe try to drop the final GOTO
<<emit code for non-empty alternatives>>=
## emit code for the non-empty alternatives
for (i in seq_along(cases)) {
    if (! miss[i]) {
        cb$putlabel(labels[[i]])
        cmp(cases[[i]], cb, cntxt)
        if (! cntxt$tailcall)
            cb$putcode(GOTO.OP, endLabel)
    }
}
@ %def


\section{Assignments expressions}
R supports simple assignments in which the left-hand side of the
assignment expression is a symbol and complex assignments of the form
\begin{verbatim}
f(x) <- v
\end{verbatim}
or
\begin{verbatim}
g(f(x)) <- v
\end{verbatim}
The second form is sometimes called a nested complex assignment.
Ordinary assignment creates or modifies a binding in the current
environment.  Superassignment via the [[<<-]] operator modifies a
binding in a containing environment.

Assignment expressions are compiled by [[cmpAssign]].  This function
checks the form of the assignment expression and, for well formed
expressions then uses [[cmpSymbolAssign]] for simple assignments and
[[cmpComplexAssign]] for complex assignments.
<<[[cmpAssign]] function>>=
cmpAssign <- function(e, cb, cntxt) {
    if (! checkAssign(e, cntxt))
        return(cmpSpecial(e, cb, cntxt))
    superAssign <- as.character(e[[1]]) == "<<-"
    lhs <- e[[2]]
    value <- e[[3]]
    symbol <- as.name(getAssignedVar(e))
    if (superAssign && ! findVar(symbol, cntxt))
        notifyNoSuperAssignVar(symbol, cntxt)
    if (is.name(lhs) || is.character(lhs))
        cmpSymbolAssign(symbol, value, superAssign, cb, cntxt)
    else if (typeof(lhs) == "language")
        cmpComplexAssign(symbol, lhs, value, superAssign, cb, cntxt)
    else cmpSpecial(e, cb, cntxt) # punt for now
}
@ %def cmpAssign

The code generators for the assignment operators [[<-]] and [[=]] and
the superassignment operator [[<<-]] are registered by
<<inlining handlers for [[<-]], [[=]], and [[<<-]]>>=
setInlineHandler("<-", cmpAssign)
setInlineHandler("=", cmpAssign)
setInlineHandler("<<-", cmpAssign)
@ %def

The function [[checkAssign]] is used to check that an assignment
expression is well-formed. 
<<[[checkAssign]] function>>=
checkAssign <- function(e, cntxt) {
    if (length(e) != 3)
        FALSE
    else {
        place <- e[[2]]
        if (typeof(place) == "symbol" ||
            (typeof(place) == "character" && length(place) == 1))
            TRUE
        else {
            <<check left hand side call>>
        }
    }
}
@ %def checkAssign
A valid left hand side call must have a function that is either a
symbol or is of the form [[foo::bar]] or [[foo:::bar]], and the first
argument must be a symbol or another valid left hand side call.  A
[[while]] loop is used to unravel nested calls.
<<check left hand side call>>=
while (typeof(place) == "language") {
    fun <- place[[1]]
    if (typeof(fun) != "symbol" &&
        ! (typeof(fun) == "language" && length(fun) == 3 &&
           typeof(fun[[1]]) == "symbol" &&
           as.character(fun[[1]]) %in% c("::", ":::"))) {
        notifyBadAssignFun(fun, cntxt)
        return(FALSE)
    }
    place = place[[2]]
}
if (typeof(place) == "symbol")
    TRUE
else FALSE
@ %def

\subsection{Simple assignment expressions}
%% **** handle fun defs specially for message purposes??
Code for assignment to a symbol is generated by [[cmpSymbolAssign]].
<<[[cmpSymbolAssign]] function>>=
cmpSymbolAssign <- function(symbol, value, superAssign, cb, cntxt) {
    <<compile the right hand side value expression>>
    <<emit code for the symbol assignment instruction>>
    <<for tail calls return the value invisibly>>
    TRUE
}
@ %def cmpSymbolAssign

A non-tail-call context is used to generate code for the right hand
side value expression.
<<compile the right hand side value expression>>=
ncntxt <- make.nonTailCallContext(cntxt)
cmp(value, cb, ncntxt)
@ %def

The [[SETVAR]] and [[SETVAR2]] instructions assign the value on the
stack to the symbol specified by its constant pool index operand.  The
[[SETVAR]] instruction is used by ordinary assignment to assign in the
local frame, and [[SETVAR2]] for superassignments.
<<emit code for the symbol assignment instruction>>=
ci <- cb$putconst(symbol)
if (superAssign)
    cb$putcode(SETVAR2.OP, ci)
else
    cb$putcode(SETVAR.OP, ci)
@ %def
The super-assignment case does not need to check for and warn about a
missing binding since this is done in [[cmpAssign]].

The [[SETVAR]] and [[SETVAR2]] instructions leave the value on the
stack as the value of the assignment expression; if the expression
appears in tail position then this value is returned with the visible
flag set to [[FALSE]].
<<for tail calls return the value invisibly>>=
if (cntxt$tailcall) {
    cb$putcode(INVISIBLE.OP)
    cb$putcode(RETURN.OP)
}
@ %def


\subsection{Complex assignment expressions}
\label{subsec:complexassign}
It seems somehow appropriate at this point to mention that the code in
[[eval.c]] implementing the interpreter semantics starts with the
following comment:
\begin{verbatim}
    /*
     *  Assignments for complex LVAL specifications. This is the stuff that
     *  nightmares are made of ...
\end{verbatim}

There are some issues with the semantics for complex assignment as
implemented by the interpreter:
\begin{itemize}
\item With the current approach the following legal, though strange,
  code fails:
<<inner assignment trashes temporary>>=
f <-function(x, y) x
`f<-` <- function(x, y, value) { y; x}
x <- 1
y <- 2
f(x, y[] <- 1) <- 3
@ %def
  The reason is that the current left hand side object is maintained in
  a variable [[*tmp*]], and processing the assignment in the second
  argument first overwrites the value of [[*tmp*]] and then removes
  [[*tmp*]] before the first argument is evaluated. Using evaluated
  promises as arguments, as is done for the right hand side value,
  solves this.

\item The current approach of using a temporary variable [[*tmp*]] to
  hold the evaluated LHS object requires an internal cleanup context
  to ensure that the variable is removed in the event of a non-local
  exit. Implementing this in the compiler would introduce significant
  overhead.
  
\item The asymmetry of handling the pre-evaluated right hand side
  value via an evaluated promise and the pre-evaluated left hand side
  via a temporary variable makes the code harder to understand and the
  semantics harder to explain.

\item Using promises in an expression passed to eval means promises
  can leak out into R via sys.call. This is something we have tried to
  avoid and should try to avoid so we can have the freedom to
  implement lazy evaluation differently if that seems useful. [It may
  be possible at some point to avoid allocation of promise objects in
  compiled code.] The compiler can avoid this by using promises only
  in the argument lists passed to function calls, not in the call
  expressions.  A similar change could be made in the interpreter but
  it would have a small runtime penalty for constructing an expression
  in addition to an argument list I would prefer to avoid that for now
  until the compiler has been turned on by default.

\item The current approach of installing the intermediate RHS value as
  the expression for the RHS promise in nested complex assignments has
  several drawbacks:
  \begin{itemize}
  \item it can produce huge expressions.

  \item the result is misleading if the intermediate RHS value is a
    symbol or a language object.

  \item to maintain this in compiled code it would be necessary to
    construct the assignment function call expression at runtime even
    though it is usually not needed (or it would require significant
    rewriting to allow on-demand computation of the call). If *vtmp*
    is used as a marker for the expression and documented as not a
    real variable then the call can be constructed at compile time.
  \end{itemize}

\item In nested complex assignments the additional arguments of the
  inner functions are evaluated twice. This is illustrated by running
  this code:
<<multiple evaluation of arguments in assignments>>=
f <- function(x, y) {y ; x }
`f<-` <- function(x, y, value) { y; x }
g <- function(x, y) {y ; x }
`g<-` <- function(x, y, value) { y; x }
x <- 1
y <- 2
f(g(x, print(y)), y) <- 3
@ %def
  This is something we have lived with, and I don't propose to change
  it at this time. But it would be good to be able to change it in the
  future.
\end{itemize}

Because of these issues the compiler implements slightly different
semantics for complex assignment than the current intepreter.
\emph{Evaluation} semantics should be identical; the difference arises
in how intermediate values are managed and has some effect on results
produced by [[substitute]].  In particular, no intermediate [[*tmp*]]
value is used and therefore no cleanup frame is needed.  This does
mean that uses of the form
\begin{verbatim}
    eval(substitute(<first arg>), parent.frame())
\end{verbatim}
will no longer work.  In tests of most of CRAN and BioC this directly
affected only one function, [[$.proto]] in the [[proto]] package, and
indirectly about 30 packages using proto failed.  I looked at the
[[$.proto]] implementation, and it turned out that the
[[eval(substitute())]] approach used there could be replaced by
standard evaluation using lexical scope. This produces better code,
and the result works with both the current R interpreter and compiled
code (proto and all the dependent packages pass check with this
change).  The [[proto]] maintainer has changed [[proto]] along these
lines.  It would be good to soon change the interpreter to also use
evaluated promises in place of the [[*tmp*]] variable to bring the
compiled and interpreted semantics closer together.

Complex assignment expressions are compiled by [[cmpComplexAssign]].
<<[[cmpComplexAssign]] function>>=
cmpComplexAssign <- function(symbol, lhs, value, superAssign, cb, cntxt) {
    <<select complex assignment instructions>>
    <<compile the right hand side value expression>>
    <<compile the left hand side call>>
    <<for tail calls return the value invisibly>>
    TRUE;
}
@ %def cmpComplexAssign

Assignment code is bracketed by a start and an end instruction.
<<compile the left hand side call>>=
csi <- cb$putconst(symbol)
cb$putcode(startOP, csi)

<<compile code to compute left hand side values>>
<<compile code to compute right hand side values>>

cb$putcode(endOP, csi)
@ %def
The appropriate instructions [[startOP]] and [[endOP]] depend on
whether the assignment is an ordinary assignment or a superassignment.
<<select complex assignment instructions>>=
if (superAssign) {
    startOP <- STARTASSIGN2.OP
    endOP <- ENDASSIGN2.OP
}
else {
    if (! findVar(symbol, cntxt))
        notifyUndefVar(symbol, cntxt)
    startOP <- STARTASSIGN.OP
    endOP <- ENDASSIGN.OP
}
@ %def
An undefined variable notification is issued for ordinary assignment,
since this will produce a runtime error. For superassignment
[[cmpAssign]] has already checked for an undefined left-hand-side
variable and issued a notification if none was found.

The start instructions obtain the initial value of the left-hand-side
variable and in the case of standard assignment assign it in the local
frame if it is not assigned there already. They also prepare the stack
for the assignment process.  The stack invariant maintained by the
assignment process is that the current right hand side value is on the
top, followed by the evaluated left hand side values and the original
right hand side value. Thus the start instruction leaves the right
hand side value, the value of the left hand side variable, and again
the right hand side value on the top of the stack.

The end instruction finds the final right hand side value followed by
the original right hand side value on the top of the stack.  The final
value is removed and assigned to the appropriate variable binding.
The original right hand side value is left on the top of the stack as
the value of the assignment expression.

Evaluating a nested complex assignment involves evaluating a sequence
of expressions to obtain the left hand sides to modify, and then
evaluating a sequence of corresponding calls to replacement functions
in the opposite order. The function [[flattenPlace]] returns a list
of the expressions that need to be considered, with [[*tmp*]] in place
of the current left hand side argument. For example, for an assignment
of the form [[f(g(h(x, k), j), i) <- v]] this produces
\begin{verbatim}
> flattenPlace(quote(f(g(h(x, k), j), i)))
[[1]]
f(`*tmp*`, i)

[[2]]
g(`*tmp*`, j)

[[3]]
h(`*tmp*`, k)
\end{verbatim}
The sequence of left hand side values needed consists of the original
variable value, which is already on the stack, and the values of
[[h(`*tmp*`, k)]] and [[g(`*tmp*`, j)]].

In general the additional evaluations needed are of all but the first
expression produced by [[flattenPlace]], evaluated in reverse
order. An argument context is used since there are already values on
the stack.
<<compile code to compute left hand side values>>=
ncntxt <- make.argContext(cntxt)
flatPlace <- flattenPlace(lhs)
for (p in rev(flatPlace[-1]))
    cmpGetterCall(p, cb, ncntxt)
@ %def
The compilation of the individual calls carried out by
[[cmpGetterCall]], which is presented in Section \ref{subsec:getter}.
Each compilation places the new left hand side value on the top of the
stack and then switches it with the value below, which is the original
right hand side value, to preserve the stack invariant.

The function [[flattenPlace]] is defined as
<<[[flattenPlace]] function>>=
flattenPlace <- function(place) {
    places <- NULL
    while (typeof(place) == "language") {
        if (length(place) < 2)
            stop("bad assignment 1")
        tplace <- place
        tplace[[2]] <- as.name("*tmp*")
        places <- c(places, list(tplace))
        place <- place[[2]]
    }
    if (typeof(place) != "symbol")
        stop("bad assignment 2")
    places
}
@ %def flattenPlace

After the right hand side values have been computed the stack contains
the original right hand side value followed by the left hand side
values in the order in which they need to be modified. Code to call
the sequence of replacement functions is generated by
<<compile code to compute right hand side values>>=
cmpSetterCall(flatPlace[[1]], value, cb, ncntxt)
for (p in flatPlace[-1])
    cmpSetterCall(p, as.name("*vtmp*"), cb, ncntxt)
@ %def
The first call uses the expression for the original right hand side in
its call; all others will use [[*vtmp*]].  Each replacement function
call compiled by [[cmpSetterCall]] will remove the top two elements
from the stack and then push the new right hand side value on the
stack.  [[cmpSetterCall]] is described in Section \ref{subsec:setter}.


\subsection{Compiling setter calls}
\label{subsec:setter}
Setter calls, or calls to replacement functions, in compiled
assignment expressions find stack that contains the current right hand
side value on the top followed by the current left hand side value.
Some replacement function calls, such as calls to [[$<-]], are handled
by an inlining mechanism described below.  The general case when the
function is specified by a symbol is handled a [[GETFUN]] instruction
to push the function on the stack, pushing any additional arguments on
the stack, and using the [[SETTER_CALL]] instruction to execute the
call.  This instruction adjusts the argument list by inserting as the
first argument an evaluated promise for the left hand side value and
as the last argument an evaluated promise for the right hand side
value; the final argument also has the [[value]] tag. The case where
the function is specified in the form [[foo::bar]] or [[foo:::bar]]
differs only compiling the function expression and using [[CHECKFUN]]
to verify the result and prepare the stack.
<<[[cmpSetterCall]] function>>=
cmpSetterCall <- function(place, vexpr, cb, cntxt) {
    afun <- getAssignFun(place[[1]])
    acall <- as.call(c(afun, as.list(place[-1]), list(value = vexpr)))
    acall[[2]] <- as.name("*tmp*")
    ncntxt <- make.callContext(cntxt, acall)
    if (is.null(afun))
        ## **** warn instead and arrange for cmpSpecial?
        ## **** or generate code to signal runtime error?
        cntxt$stop(gettext("invalid function in complex assignment"))
    else if (typeof(afun) == "symbol") {
        if (! trySetterInline(afun, place, acall, cb, ncntxt)) {
            ci <- cb$putconst(afun)
            cb$putcode(GETFUN.OP, ci)
            <<compile additional arguments and call to setter function>>
        }
    }
    else {
        cmp(afun, cb, ncntxt)
        cb$putcode(CHECKFUN.OP)
        <<compile additional arguments and call to setter function>>
    }
}
@ %def cmpSetterCall
The common code for compiling additional arguments and issuing the
[[SETTER_CALL]] instruction is given by
<<compile additional arguments and call to setter function>>=
cb$putcode(PUSHNULLARG.OP)
cmpCallArgs(place[-c(1, 2)], cb, ncntxt)
cci <- cb$putconst(acall)
cvi <- cb$putconst(vexpr)
cb$putcode(SETTER_CALL.OP, cci, cvi)
@ %def
The [[PUSHNULL]] instruction places [[NULL]] in the argument list as a
first argument to serve as a place holder; [[SETTER_CALL]] replaces
this with the evaluated promise for the current left hand side value.

The replacement function corresponding to [[fun]] is computed by
[[getAssignFun]].  If [[fun]] is a symbol then the assignment function
is the symbol followed by [[<-]].  The function [[fun]] can also be an
expression of the form [[foo::bar]], in which case the replacement
function is the expression [[foo::`bar<-`]].  [[NULL]] is returned if
[[fun]] does not fit into one of these two cases.
<<[[getAssignFun]] function>>=
getAssignFun <- function(fun) {
    if (typeof(fun) == "symbol")
        as.name(paste0(fun, "<-"))
    else {
        ## check for and handle foo::bar(x) <- y assignments here
        if (typeof(fun) == "language" && length(fun) == 3 &&
            (as.character(fun[[1]]) %in% c("::", ":::")) &&
            typeof(fun[[2]]) == "symbol" && typeof(fun[[3]]) == "symbol") {
            afun <- fun
            afun[[3]] <- as.name(paste0(fun[[3]],"<-"))
            afun
        }
        else NULL
    }
}
@ %def getAssignFun

To produce more efficient code some replacement function calls can be
inlined and use specialized instructions.  The most important of these
are [[$<-]], [[[<-]], and [[[[<-]].  An inlining mechanism similar to
the one described in Section \ref{sec:inlining} is used for this
purpose.  A separate mechanism is needed because of the fact that in
the present context two arguments, the left hand side and right hand
side values, are already on the stack.
<<setter inlining mechanism>>=
setterInlineHandlers <- new.env(hash = TRUE, parent = emptyenv())

setSetterInlineHandler <- function(name, h, package = "base") {
    if (exists(name, setterInlineHandlers, inherits = FALSE)) {
        entry <- get(name, setterInlineHandlers)
        if (entry$package != package) {
            fmt <- "handler for '%s' is already defined for another package"
            stop(gettextf(fmt, name), domain = NA)
        }
    }
    entry <- list(handler = h, package = package)
    assign(name, entry, setterInlineHandlers)
}

getSetterInlineHandler <- function(name, package = "base") {
    if (exists(name, setterInlineHandlers, inherits = FALSE)) {
        hinfo <- get(name, setterInlineHandlers)
        if (hinfo$package == package)
            hinfo$handler
        else NULL
    }
    else NULL
}

trySetterInline <- function(afun, place, call, cb, cntxt) {
    name <- as.character(afun)
    info <- getInlineInfo(name, cntxt)
    if (is.null(info))
        FALSE
    else {
        h <- getSetterInlineHandler(name, info$package)
        if (! is.null(h))
            h(afun, place, call, cb, cntxt)
        else FALSE
    }
}
@ %def

The inline handler for [[$<-]] replacement calls uses the
[[DOLLARGETS]] instruction.  The handler declines to handle cases that
would produce runtime errors; these are compiled by the generic
mechanism.
%% **** might be useful to signal a warning at compile time
<<setter inline handler for [[$<-]]>>=
setSetterInlineHandler("$<-", function(afun, place, call, cb, cntxt) {
    if (any.dots(place) || length(place) != 3)
        FALSE
    else {
        sym <- place[[3]]
        if (is.character(sym))
            sym <- as.name(sym)
        if (is.name(sym)) {
            ci <- cb$putconst(call)
            csi <- cb$putconst(sym)
            cb$putcode(DOLLARGETS.OP, ci, csi)
            TRUE
        }
        else FALSE
    }
})
@ %def

The replacement functions [[[<-]] and [[[[<-]]] are implemented as
[[SPECIAL]] functions that do internal dispatching.  They are
therefore compiled along the same lines as their corresponding
accessor functions as described in Section \ref{subsec:subset}.  The
common pattern is implemented by [[cmpSetterDispatch]].
<<[[cmpSetterDispatch]] function>>=
cmpSetterDispatch <- function(start.op, dflt.op, afun, place, call, cb, cntxt) {
    if (any.dots(place))
        FALSE ## punt
    else {
        ci <- cb$putconst(call)
        end.label <- cb$makelabel()
        cb$putcode(start.op, ci, end.label)
        if (length(place) > 2) {
            args <- place[-(1:2)]
            cmpBuiltinArgs(args, names(args), cb, cntxt, TRUE)
        }
        cb$putcode(dflt.op)
        cb$putlabel(end.label)
        TRUE
    }
}
@ %def cmpSetterDispatch
The two inlining handlers are then defined as
<<setter inline handlers for [[ [<- ]] and [[ [[<- ]]>>=
# **** this is now handled differently; see "Improved subset ..."
# setSetterInlineHandler("[<-", function(afun, place, call, cb, cntxt)
#     cmpSetterDispatch(STARTSUBASSIGN.OP, DFLTSUBASSIGN.OP,
#                       afun, place, call, cb, cntxt))

# setSetterInlineHandler("[[<-", function(afun, place, call, cb, cntxt)
#     cmpSetterDispatch(STARTSUBASSIGN2.OP, DFLTSUBASSIGN2.OP,
#                       afun, place, call, cb, cntxt))
@ %def

An inline handler is defined for [[@<-]] in order to suppress spurious
warnings about the slot name symbol. A call in which the slot is
specified by a symbol is converted to one using a string instead, and
is then compiled by a recursive call to [[cmpSetterCall]]; the handler
will decline in this second call and the default compilation strategy
will be used.
<<setter inlining handler for [[@<-]]>>=
setSetterInlineHandler("@<-", function(afun, place, acall, cb, cntxt) {
    if (! dots.or.missing(place) && length(place) == 3 &&
        typeof(place[[3]]) == "symbol") {
        place[[3]] <- as.character(place[[3]])
        vexpr <- acall[[length(acall)]]
	cmpSetterCall(place, vexpr, cb, cntxt)
        TRUE
    }
    else FALSE
})
@ 


\subsection{Compiling getter calls}
\label{subsec:getter}
Getter calls within an assignment also need special handling because
of the left hand side argument being on the stack already and because
of the need to restore the stack invariant. There are again two cases
for installing the getter function on the stack.  These are then
followed by common code for handling the additional arguments and the
call.
<<[[cmpGetterCall]] function>>=
cmpGetterCall <- function(place, cb, cntxt) {
    ncntxt <- make.callContext(cntxt, place)
    fun <- place[[1]]
    if (typeof(fun) == "symbol") {
        if (! tryGetterInline(place, cb, ncntxt)) {
            ci <- cb$putconst(fun)
            cb$putcode(GETFUN.OP, ci)
	    <<compile additional arguments and call to getter function>>
        }
    }
    else {
        cmp(fun, cb, ncntxt)
        cb$putcode(CHECKFUN.OP)
	<<compile additional arguments and call to getter function>>
    }
}
@ %def cmpGetterCall
In the common code, as in setter calls a [[NULL]] is placed on the
argument stack as a place holder for the left hand side promise.  Then
the additional arguments are placed on the stack and the
[[GETTER-CALL]] instruction is issued.  This instruction installs the
evaluated promise with the left hand side value as the first argument
and executes the call.  The call will leave the next right left hand
side on the top of the stack.  A [[SWAP]] instruction then switches
the top two stack entries.  This leaves the original right hand side
value on top followed by the new left hand side value returned by the
getter call and any other left hand side values produced by earlier
getter call.
<<compile additional arguments and call to getter function>>=
cb$putcode(PUSHNULLARG.OP)
cmpCallArgs(place[-c(1, 2)], cb, ncntxt)
cci <- cb$putconst(place)
cb$putcode(GETTER_CALL.OP, cci)
cb$putcode(SWAP.OP)
@ %def

Again an inlining mechanism is needed to handle calls to functions like
[[$]] and [[[]].  These are able to use the same instructions as the
inline handlers in Section \ref{subsec:subset} for ordinary calls to
[[$]] and [[[]] but require some additional work to deal with
maintaining the stack invariant.

The inlining mechanism itself is analogous to the general one and the
one for inlining setter calls.
<<getter inlining mechanism>>=
getterInlineHandlers <- new.env(hash = TRUE, parent = emptyenv())

setGetterInlineHandler <- function(name, h, package = "base") {
    if (exists(name, getterInlineHandlers, inherits = FALSE)) {
        entry <- get(name, getterInlineHandlers)
        if (entry$package != package) {
            fmt <- "handler for '%s' is already defined for another package"
            stop(gettextf(fmt, name), domain = NA)
        }
    }
    entry <- list(handler = h, package = package)
    assign(name, entry, getterInlineHandlers)
}

getGetterInlineHandler <- function(name, package = "base") {
    if (exists(name, getterInlineHandlers, inherits = FALSE)) {
        hinfo <- get(name, getterInlineHandlers)
        if (hinfo$package == package)
            hinfo$handler
        else NULL
    }
    else NULL
}

tryGetterInline <- function(call, cb, cntxt) {
    name <- as.character(call[[1]])
    info <- getInlineInfo(name, cntxt)
    if (is.null(info))
        FALSE
    else {
        h <- getGetterInlineHandler(name, info$package)
        if (! is.null(h))
            h(call, cb, cntxt)
        else FALSE
    }
}
@ %def

The inline handler for [[$]] in a getter context uses the [[DUP2ND]]
instruction to push the second value on the stack, the previous left
hand side value, onto the stack.  The [[DOLLAR]] instruction pops this
value, computes the component for this value and the symbol in the
constant pool, and pushes the result on the stack.  A [[SWAP]]
instruction then interchanges this value with the next value, which is
the original right hand side value, thus restoring the stack
invariant.
<<getter inline handler for [[$]]>>=
setGetterInlineHandler("$", function(call, cb, cntxt) {
    if (any.dots(call) || length(call) != 3)
        FALSE
    else {
        sym <- call[[3]]
        if (is.character(sym))
            sym <- as.name(sym)
        if (is.name(sym)) {
            ci <- cb$putconst(call)
            csi <- cb$putconst(sym)
            cb$putcode(DUP2ND.OP)
            cb$putcode(DOLLAR.OP, ci, csi)
            cb$putcode(SWAP.OP)
            TRUE
        }
        else FALSE
    }
})
@ %def

Calls to [[[]] and [[[[]] again need two instructions to support the
internal dispatch.  The general pattern is implemented in
[[cmpGetterDispatch]].  A [[DUP2ND]] instruction is used to place the
first argument for the call on top of the stack, code analogous to the
code for ordinary calls to [[[]] and [[[[]] is used to make the call,
and this is followed by a [[SWAP]] instruction to rearrange the stack.
<<[[cmpGetterDispatch]] function>>=
cmpGetterDispatch <- function(start.op, dflt.op, call, cb, cntxt) {
    if (any.dots(call))
        FALSE ## punt
    else {
        ci <- cb$putconst(call)
        end.label <- cb$makelabel()
        cb$putcode(DUP2ND.OP)
        cb$putcode(start.op, ci, end.label)
        if (length(call) > 2) {
            args <- call[-(1:2)]
            cmpBuiltinArgs(args, names(args), cb, cntxt, TRUE)
        }
        cb$putcode(dflt.op)
        cb$putlabel(end.label)
        cb$putcode(SWAP.OP)
        TRUE
    }
}
@ %def cmpGetterDispatch
The two inline handlers are then defined as
<<getter inline handlers for [[[]] and [[[[]]>>=
# **** this is now handled differently; see "Improved subset ..."
# setGetterInlineHandler("[", function(call, cb, cntxt)
#     cmpGetterDispatch(STARTSUBSET.OP, DFLTSUBSET.OP, call, cb, cntxt))

# setGetterInlineHandler("[[", function(call, cb, cntxt)
#     cmpGetterDispatch(STARTSUBSET2.OP, DFLTSUBSET2.OP, call, cb, cntxt))
@ %def


\section{Constant folding}
A very valuable compiler optimization is constant folding. For
example, an expression for computing a normal density function may
include the code
\begin{verbatim}
1 / sqrt(2 * pi)
\end{verbatim}
The interpreter would have to evaluate this expression each time it is
needed, but a compiler can often compute the value once at compile
time.

The constant folding optimization can be applied at various points in
the compilation process: It can be applied to the source code before
code generation or to the generated code in a separate optimization
phase.  For now, constant folding is applied during the code
generation phase.

The [[constantFold]] function examines its expression argument and
handles each expression type by calling an appropriate function.
<<[[constantFold]] function>>=
## **** rewrite using switch??
constantFold <- function(e, cntxt) {
    type = typeof(e)
    if (type == "language")
        constantFoldCall(e, cntxt)
    else if (type == "symbol")
        constantFoldSym(e, cntxt)
    else if (type == "promise")
        cntxt$stop(gettext("cannot constant fold literal promises"),
                   cntxt)
    else if (type == "bytecode")
        cntxt$stop(gettext("cannot constant fold literal bytecode objects"),
                   cntxt)
    else checkConst(e)
}
@ %def constantFold
%% **** warn and return NULL instead of calling stop??

The [[checkConst]] function decides whether a value is a constant that
is small enough and simple enough to enter into the constant pool.  If
so, then [[checkConst]] wraps the value in a list as the [[value]]
component.  If not, then [[NULL]] is returned.
<<[[checkConst]] function>>=
checkConst <- function(e) {
    if (mode(e) %in% constModes && length(e) <= maxConstSize)
        list(value = e)
    else
        NULL
}
@ %def checkConst
The maximal size and acceptable modes are defined by
<<[[maxConstSize]] and [[constModes]] definitions>>=
maxConstSize <- 10

constModes <- c("numeric", "logical", "NULL", "complex", "character")
@ %def maxConstSize constModes

For now, constant folding is only applied for a particular set of
variables and functions defined in the base package.  The constant
folding code uses [[isBaseVar]] to determine whether a variable can be
assumed to reference the corresponding base variable given the
current compilation environment and optimization setting.
[[constantFoldSym]] is applied to base variables in the [[constNames]]
list.
<<[[constantFoldSym]] function>>=
## Assumes all constants will be defined in base.
## Eventually allow other packages to define constants.
## Any variable with locked binding could be used if type is right.
## Allow local declaration of optimize, notinline declaration.
constantFoldSym <- function(var, cntxt) {
    var <- as.character(var)
    if (var %in% constNames && isBaseVar(var, cntxt))
        checkConst(get(var, .BaseNamespaceEnv))
    else NULL
}
@ %def constantFoldSym
<<[[constNames]] definition>>=
constNames <- c("pi", "T", "F")
@ %def constNames

Call expressions are handled by determining whether the function
called is eligible for constant folding, attempting to constant fold
the arguments, and calling the folding function.  The result is the
passed to [[checkConst]].  If an error occurs in the call to the
folding function then [[constantFoldCall]] returns [[NULL]].
<<[[constantFoldCall]] function>>=
constantFoldCall <- function(e, cntxt) {
    fun <- e[[1]]
    if (typeof(fun) == "symbol") {
        ffun <- getFoldFun(fun, cntxt)
        if (! is.null(ffun)) {
            args <- as.list(e[-1])
            for (i in seq_along(args)) {
                a <- args[[i]]
                if (missing(a))
                    return(NULL)
                val <- constantFold(a, cntxt)
                if (! is.null(val))
                    args[i] <- list(val$value) ## **** in case value is NULL
                else return(NULL)
            }
            modes <- unlist(lapply(args, mode))
            if (all(modes %in% constModes)) {
                tryCatch(checkConst(do.call(ffun, args)),
                         error = function(e) NULL) ## **** issue warning??
            }
            else NULL
        }
        else NULL
    }
    else NULL
}
@ %def constantFoldCall
%% **** separate out and explain argument processing chunk (maybe also the call)

The functions in the base package eligible for constant folding are
<<[[foldFuns]] definition>>=
foldFuns <- c("+", "-", "*", "/", "^", "(",
              ">", ">=", "==", "!=", "<", "<=", "||", "&&", "!",
              "|", "&", "%%",
              "c", "rep", ":",
              "abs", "acos", "acosh", "asin", "asinh", "atan", "atan2",
              "atanh", "ceiling", "choose", "cos", "cosh", "exp", "expm1",
              "floor", "gamma", "lbeta", "lchoose", "lgamma", "log", "log10",
              "log1p", "log2", "max", "min", "prod", "range", "round",
              "seq_along", "seq.int", "seq_len", "sign", "signif",
              "sin", "sinh", "sqrt", "sum", "tan", "tanh", "trunc",
              "baseenv", "emptyenv", "globalenv",
              "Arg", "Conj", "Im", "Mod", "Re",
              "is.R")
@ %def foldFuns
[[getFoldFun]] checks the called function against this list and
whether the binding for the variable can be assumed to be from the
base package. If then returns the appropriate function from the base
package or [[NULL]].
<<[[getFoldFun]] function>>=
## For now assume all foldable functions are in base
getFoldFun <- function(var, cntxt) {
    var <- as.character(var)
    if (var %in% foldFuns && isBaseVar(var, cntxt)) {
        val <- get(var, .BaseNamespaceEnv)
        if (is.function(val))
            val
        else
            NULL
    }
    else NULL
}
@ %def getFoldFun


\section{More top level functions}
\subsection{Compiling closures}
The function [[cmpfun]] is for compiling a closure.  The body is
compiled with [[genCode]] and combined with the closure's formals and
environment to form a compiled closure.  The [[.Internal]] function
[[bcClose]] does this. Some additional fiddling is needed if the
closure is an S4 generic.  The need for the [[asS4]] bit seems a bit
odd but it is apparently needed at this point.
<<[[cmpfun]] function>>=
cmpfun <- function(f, options = NULL) {
    type <- typeof(f)
    if (type == "closure") {
        cntxt <- make.toplevelContext(makeCenv(environment(f)), options)
        ncntxt <- make.functionContext(cntxt, formals(f), body(f))
        b <- genCode(body(f), ncntxt)
        val <- .Internal(bcClose(formals(f), b, environment(f)))
        attrs <- attributes(f)
        if (! is.null(attrs))
            attributes(val) <- attrs
        if (isS4(f)) ## **** should this really be needed??
            val <- asS4(val)
        val
    }
    else if (type == "builtin" || type == "special")
        f
    else stop("cannot compile a non-function")
}
@ %def cmpfun

For use in compiling packages and in JIT compilation it is useful to
have a variant that returns the uncompiled function if there is an
error during compilation.
<<[[tryCmpfun]] function>>=
tryCmpfun <- function(f)
    tryCatch(cmpfun(f), error = function(e) f)
@ %def tryCmpfun

A similar usility for expressions for use in JIT compilation of loops:
<<[[tryCompile]] function>>=
tryCompile <- function(e, ...)
    tryCatch(compile(e, ...), error = function(err) e)
@ %def tryCompile


\subsection{Compiling and loading files}
A file can be compiled with [[cmpfile]] and loaded with [[loadcmp]].
[[cmpfile]] reads in the expressions, compiles them, and serializes
the list of compiled expressions by calling the [[.Internal]] function
[[save.to.file]].
<<[[cmpfile]] function>>=
cmpfile <- function(infile, outfile, ascii = FALSE, env = .GlobalEnv,
                    verbose = FALSE, options = NULL) {
    if (! is.environment(env) || ! identical(env, topenv(env)))
        stop("'env' must be a top level environment")
    <<create [[outfile]] if argument is missing>>
    <<check that [[infile]] and [[outfile]] are not the same>>
    forms <- parse(infile)
    nforms <- length(forms)
    if (nforms > 0) {
        expr.needed <- 1000
        expr.old <- getOption("expressions")
        if (expr.old < expr.needed) {
            options(expressions = expr.needed)
            on.exit(options(expressions = expr.old))
        }
        cforms <- vector("list", nforms)
        cenv <- makeCenv(env)
        cntxt <- make.toplevelContext(cenv, options)
        cntxt$env <- addCenvVars(cenv, findLocalsList(forms, cntxt))
        for (i in 1:nforms) {
            e <- forms[[i]]
            if (verbose) {
                if (typeof(e) == "language" && e[[1]] == "<-" &&
                    typeof(e[[3]]) == "language" && e[[3]][[1]] == "function")
                    cat(paste0("compiling function \"", e[[2]], "\"\n"))
                else
                    cat(paste("compiling expression", deparse(e, 20)[1],
                              "...\n"))
            }
            cforms[[i]] <- genCode(e, cntxt)
        }
        cat(gettextf("saving to file \"%s\" ... ", outfile))
        .Internal(save.to.file(cforms, outfile, ascii))
        cat(gettext("done"), "\n", sep = "")
    }
    else warning("empty input file; no output written");
    invisible(NULL)
}
@ %def cmpfile

The default output file name is the base name of the input file with a
[[.Rc]] extension.
<<create [[outfile]] if argument is missing>>=
if (missing(outfile)) {
    basename <- sub("\\.[a-zA-Z0-9]$", "", infile)
    outfile <- paste0(basename, ".Rc")
}
@ %def
As a precaution it is useful to check that [[infile]] and [[outfile]]
are not the same and signal an error if they are.
<<check that [[infile]] and [[outfile]] are not the same>>=
if (infile == outfile)
    stop("input and output file names are the same")
@ %def

The [[loadcmp]] reads in the serialized list of expressions
using the [[.Internal]] function [[load.from.file]].  The compiled
expressions are then evaluated in the global environment.
<<[[loadcmp]] function>>=
loadcmp <- function (file, envir = .GlobalEnv, chdir = FALSE) {
    if (!(is.character(file) && file.exists(file)))
        stop(gettextf("file '%s' does not exist", file), domain = NA)
    exprs <- .Internal(load.from.file(file))
    if (length(exprs) == 0)
        return(invisible())
    if (chdir && (path <- dirname(file)) != ".") {
        owd <- getwd()
        on.exit(setwd(owd), add = TRUE)
        setwd(path)
    }
    for (i in exprs) {
        yy <- eval(i, envir)
    }
    invisible()
}
@ %def loadcmp
[[loadcmp]] is the analog to [[source]] for compiled files.

Two additional functions that are currently not exported or used are
[[cmpframe]] and [[cmplib]].  They should probably be removed.
<<[[cmpframe]] function>>=
cmpframe <- function(inpos, file) {
    expr.needed <- 1000
    expr.old <- getOption("expressions")
    if (expr.old < expr.needed)
       options(expressions = expr.needed)
    on.exit(options(expressions = expr.old))

    attach(NULL, name="<compiled>")
    inpos <- inpos + 1
    outpos <- 2
    on.exit(detach(pos=outpos), add=TRUE)

    for (f in ls(pos = inpos, all.names = TRUE)) {
        def <- get(f, pos = inpos)
        if (typeof(def) == "closure") {
                cat(gettextf("compiling '%s'", f), "\n", sep = "")
                fc <- cmpfun(def)
                assign(f, fc, pos=outpos)
        }
    }
    cat(gettextf("saving to file \"%s\" ... ", file))
    save(list = ls(pos = outpos, all.names = TRUE), file = file)
    cat(gettext("done"), "\n", sep = "")
}
@ %def cmpframe

<<[[cmplib]] function>>=
cmplib <- function(package, file) {
    package <- as.character(substitute(package))
    pkgname <- paste("package", package, sep = ":")
    pos <- match(pkgname, search());
    if (missing(file))
        file <- paste0(package,".Rc")
    if (is.na(pos)) {
        library(package, character.only = TRUE)
        pos <- match(pkgname, search());
        on.exit(detach(pos=match(pkgname, search())))
    }
    cmpframe(pos, file)
}
@ %def cmplib


\subsection{Enabling implicit compilation}
<<[[enableJIT]] function>>=
enableJIT <- function(level)
    .Internal(enableJIT(level))
@ %def enableJIT
<<[[compilePKGS]] function>>=
compilePKGS <- function(enable)
    .Internal(compilePKGS(enable))
@ %def compilePKGS


\subsection{Setting compiler options}
The [[setCompilerOptions]] function provides a means for users to
adjust the default compiler option values.  This interface is
experimental and may change.
<<[[setCompilerOptions]] function>>=
setCompilerOptions <- function(...) {
    options <- list(...)
    nm <- names(options)
    for (n in nm)
        if (! exists(n, compilerOptions))
            stop(gettextf("'%s' is not a valid compiler option", n),
                 domain = NA)
    old <- list()
    newOptions <- as.list(compilerOptions) # copy options
    for (n in nm) {
        op <- options[[n]]
        switch(n,
               optimize = {
                   op <- as.integer(op)
                   if (length(op) == 1 && 0 <= op && op <= 3) {
                       old <- c(old, list(optimize =
                                          compilerOptions$optimize))
                       newOptions$optimize <- op
                   }
               },
               suppressAll = {
                   if (identical(op, TRUE) || identical(op, FALSE)) {
                       old <- c(old, list(suppressAll =
                                          compilerOptions$suppressAll))
                       newOptions$suppressAll <- op
                   }
               },
               suppressUndefined = {
                   if (identical(op, TRUE) || identical(op, FALSE) ||
                       is.character(op)) {
                       old <- c(old, list(suppressUndefined =
                                          compilerOptions$suppressUndefined))
                       newOptions$suppressUndefined <- op
                   }
               })
    }
    jitEnabled <- enableJIT(-1)
    if (checkCompilerOptions(jitEnabled, newOptions))
        for(n in names(newOptions)) # commit the new options
            assign(n, newOptions[[n]], compilerOptions)
    invisible(old)
}
@ %def

For now, a [[.onLoad]] function is used to allow all warning to be
suppressed.  This is probably useful for building packages, since the
way lazy loading is done means variables defined in shared libraries
are not available and produce a raft of warnings.  The [[.onLoad]]
function also allows undefined variables to be suppressed and the
optimization level to be specified using environment variables.
<<[[.onLoad]] function>>=
.onLoad <- function(libname, pkgname) {
    if (Sys.getenv("R_COMPILER_SUPPRESS_ALL") != "")
        setCompilerOptions(suppressAll = TRUE)
    if (Sys.getenv("R_COMPILER_SUPPRESS_UNDEFINED") != "")
        setCompilerOptions(suppressUndefined = TRUE)
    if (Sys.getenv("R_COMPILER_OPTIMIZE") != "")
        tryCatch({
            lev <- as.integer(Sys.getenv("R_COMPILER_OPTIMIZE"))
            if (0 <= lev && lev <= 3)
                setCompilerOptions(optimize = lev)
        }, error = function(e) e, warning = function(w) w)
}
@ %def .onLoad

When [[enableJIT]] is set to 3, loops should be compiled before executing. 
However, if the [[optimize]] option is set to 0 or 1, a compiled loop will
call to the same primitive function as is used by the AST interpretter (e.g. 
[[do_for]]), and the compilation would run into infinite recursion. 
[[checkCompilerOptions]] will detect invalid combinations of [[enableJIT]]
and [[optimize]] and report a warning.
%% **** could also change the interface and atomically set enableJIT and optimize
<<[[checkCompilerOptions]] function>>=
checkCompilerOptions <- function(jitEnabled, options = NULL) {
    optimize <- getCompilerOption("optimize", options)
    if (jitEnabled <= 2 || optimize >= 2)
        TRUE
    else {
        stop(gettextf(
            "invalid compiler options: optimize(==%d)<2 and jitEnabled(==%d)>2",
            optimize, jitEnabled))
        FALSE
    }
}
@ %def checkCompilerOptions


\subsection{Disassembler}
A minimal disassembler is provided by [[disassemble]]. This is
primarily useful for debugging the compiler.  A more readable output
representation might be nice to have. It would also probably make
sense to give the result a class and write a print method.
<<[[disassemble]] function>>=
disassemble <- function(code) {
    .CodeSym <- as.name(".Code")
    disasm.const<-function(x)
        if (typeof(x)=="list" && length(x) > 0 && identical(x[[1]], .CodeSym))
            disasm(x) else x
    disasm <-function(code) {
        code[[2]]<-bcDecode(code[[2]])
        code[[3]]<-lapply(code[[3]], disasm.const)
        code
    }
    if (typeof(code)=="closure") {
        code <- .Internal(bodyCode(code))
        if (typeof(code) != "bytecode")
            stop("function is not compiled")
    }
    dput(disasm(.Internal(disassemble(code))))
}
@ %def disassemble

The [[.Internal]] function [[disassemble]] extracts the numeric code
vector and constant pool.  The function [[bcDecode]] uses the
[[Opcodes.names]] array to translate the numeric opcodes into symbolic
ones.  At this point not enough information is available in a
reasonable place to also convert labels back to symbolic form.
<<[[bcDecode]] function>>=
bcDecode <- function(code) {
    n <- length(code)
    ncode <- vector("list", n)
    ncode[[1]] <- code[1] # version number
    i <- 2
    while (i <= n) {
        name<-Opcodes.names[code[i]+1]
        argc<-Opcodes.argc[[code[i]+1]]
        ncode[[i]] <- as.name(name)
        i<-i+1
        if (argc > 0)
            for (j in 1:argc) {
                ncode[[i]]<-code[i]
                i<-i+1
            }
    }
    ncode
}
@ %def bcDecode


\section{Improved subset and sub-assignment handling}
This section describes changes that allow subset and subassign
operations to inmost case be handled without allocating list of the
index arguments --- the arguments are passed on the stack instead.
The function [[cmpSubsetDispatch]] is analogous to [[cmpDispatch]]
described above. the [[dflt.op]] argument passed information about the
instruction to be emitted. For instructions designed for a particular
number of arguments the [[rank]] component is [[FALSE]] and no index
count is emitted; this is used for [[VECSUBSET.OP]] and
[[MATSUBSET.OP]] instructions. If [[rank]] is [[TRUE]], then the
number of indices is emitted as an operand; this is used by the
[[SUBSET_N.OP]] instruction.
<<[[cmpSubsetDispatch]] function>>=
cmpSubsetDispatch <- function(start.op, dflt.op, e, cb, cntxt) {
    if (dots.or.missing(e) || ! is.null(names(e)) || length(e) < 3)
        cntxt$stop(gettext("cannot compile this expression"), cntxt)
    else {
        oe <- e[[2]]
        if (missing(oe))
            cntxt$stop(gettext("cannot compile this expression"), cntxt)
        ncntxt <- make.argContext(cntxt)
        ci <- cb$putconst(e)
        label <- cb$makelabel()
        cmp(oe, cb, ncntxt)
        cb$putcode(start.op, ci, label)
        indices <- e[-c(1, 2)]
        for (i in seq_along(indices))
            cmp(indices[[i]], cb, ncntxt, TRUE)
        if (dflt.op$rank) cb$putcode(dflt.op$code, ci, length(indices))
        else cb$putcode(dflt.op$code, ci)
        cb$putlabel(label)
        if (cntxt$tailcall) cb$putcode(RETURN.OP)
        TRUE
    }
}
@ %def cmpSubsetDispatch
The subsetting handlers fall back to using [[cmpDispatch]] if there
are any named arguments or if an error would need to be signaled (we
could issue a compiler warning at this point as well). If all
arguments are unnamed and there are no dots then [[cmpSubsetDispatch]]
is used; the instruction emitted depends on the argument count.
<<inline handlers for subsetting>>=
setInlineHandler("[", function(e, cb, cntxt) {
    if (dots.or.missing(e) || ! is.null(names(e)) || length(e) < 3)
        cmpDispatch(STARTSUBSET.OP, DFLTSUBSET.OP, e, cb, cntxt) ## punt
    else {
        nidx <- length(e) - 2;
        if (nidx == 1)
            dflt.op <- list(code = VECSUBSET.OP, rank = FALSE)
        else if (nidx == 2)
            dflt.op <- list(code = MATSUBSET.OP, rank = FALSE)
        else
            dflt.op <- list(code = SUBSET_N.OP, rank = TRUE)
        cmpSubsetDispatch(STARTSUBSET_N.OP, dflt.op, e, cb, cntxt)
    }
})

setInlineHandler("[[", function(e, cb, cntxt) {
    if (dots.or.missing(e) || ! is.null(names(e)) || length(e) < 3)
        cmpDispatch(STARTSUBSET2.OP, DFLTSUBSET2.OP, e, cb, cntxt) ## punt
    else {
        nidx <- length(e) - 2;
        if (nidx == 1)
            dflt.op <- list(code = VECSUBSET2.OP, rank = FALSE)
        else if (nidx == 2)
            dflt.op <- list(code = MATSUBSET2.OP, rank = FALSE)
        else
            dflt.op <- list(code = SUBSET2_N.OP, rank = TRUE)
        cmpSubsetDispatch(STARTSUBSET2_N.OP, dflt.op, e, cb, cntxt)
    }
})
@ 

Similarly, [[cmpSubassignDispatch]] is a variant of
[[cmpSetterDispatch]] that passes index arguments on the stack and
emits an index count if necessary.
<<[[cmpSubassignDispatch]] function>>=
cmpSubassignDispatch <- function(start.op, dflt.op, afun, place, call, cb,
                                 cntxt) {
    if (dots.or.missing(place) || ! is.null(names(place)) || length(place) < 3)
        cntxt$stop(gettext("cannot compile this expression"), cntxt)
    else {
        ci <- cb$putconst(call)
        label <- cb$makelabel()
        cb$putcode(start.op, ci, label)
        indices <- place[-c(1, 2)]
        for (i in seq_along(indices))
            cmp(indices[[i]], cb, cntxt, TRUE)
        if (dflt.op$rank) cb$putcode(dflt.op$code, ci, length(indices))
        else cb$putcode(dflt.op$code, ci)
        cb$putlabel(label)
        TRUE
    }
}
@  %def cmpSubassignDispatch

Again the handlers fall back to [[cmpSetterDispatch]] if there are
named arguments or other complication.
<<inline handlers for subassignment>>=
setSetterInlineHandler("[<-", function(afun, place, call, cb, cntxt) {
    if (dots.or.missing(place) || ! is.null(names(place)) || length(place) < 3)
        cmpSetterDispatch(STARTSUBASSIGN.OP, DFLTSUBASSIGN.OP,
                          afun, place, call, cb, cntxt) ## punt
    else {
        nidx <- length(place) - 2
        if (nidx == 1)
            dflt.op <- list(code = VECSUBASSIGN.OP, rank = FALSE)
        else if (nidx == 2)
            dflt.op <- list(code = MATSUBASSIGN.OP, rank = FALSE)
        else
            dflt.op <- list(code = SUBASSIGN_N.OP, rank = TRUE)
        cmpSubassignDispatch(STARTSUBASSIGN_N.OP, dflt.op, afun, place, call,
                             cb, cntxt)
    }
})

setSetterInlineHandler("[[<-", function(afun, place, call, cb, cntxt) {
    if (dots.or.missing(place) || ! is.null(names(place)) || length(place) < 3)
        cmpSetterDispatch(STARTSUBASSIGN2.OP, DFLTSUBASSIGN2.OP,
                          afun, place, call, cb, cntxt) ## punt
    else {
        nidx <- length(place) - 2
        if (nidx == 1)
            dflt.op <- list(code = VECSUBASSIGN2.OP, rank = FALSE)
        else if (nidx == 2)
            dflt.op <- list(code = MATSUBASSIGN2.OP, rank = FALSE)
        else
            dflt.op <- list(code = SUBASSIGN2_N.OP, rank = TRUE)
        cmpSubassignDispatch(STARTSUBASSIGN2_N.OP, dflt.op, afun, place, call,
                             cb, cntxt)
    }
})
@ 

Similarly, again, [[cmpSubsetGetterDispatch]] is a variant of
[[cmpGetterDispatch]] that passes index arguments on the stack.
<<[[cmpSubsetGetterDispatch]] function>>=
cmpSubsetGetterDispatch <- function(start.op, dflt.op, call, cb, cntxt) {
    if (dots.or.missing(call) || ! is.null(names(call)) || length(call) < 3)
        cntxt$stop(gettext("cannot compile this expression"), cntxt)
    else {
        ci <- cb$putconst(call)
        end.label <- cb$makelabel()
        cb$putcode(DUP2ND.OP)
        cb$putcode(start.op, ci, end.label)
        indices <- call[-c(1, 2)]
        for (i in seq_along(indices))
            cmp(indices[[i]], cb, cntxt, TRUE)
        if (dflt.op$rank)
            cb$putcode(dflt.op$code, ci, length(indices))
        else
            cb$putcode(dflt.op$code, ci)
        cb$putlabel(end.label)
        cb$putcode(SWAP.OP)
        TRUE
    }
}
@  %def cmpSubsetGetterDispatch

And again the handlers fall back to [[cmpGetterDispatch]] if necessary.
<<inline handlers for subset getters>>=
setGetterInlineHandler("[", function(call, cb, cntxt) {
    if (dots.or.missing(call) || ! is.null(names(call)) || length(call) < 3)
        cmpGetterDispatch(STARTSUBSET.OP, DFLTSUBSET.OP, call, cb, cntxt)
    else {
        nidx <- length(call) - 2;
        if (nidx == 1)
            dflt.op <- list(code = VECSUBSET.OP, rank = FALSE)
        else if (nidx == 2)
            dflt.op <- list(code = MATSUBSET.OP, rank = FALSE)
        else
            dflt.op <- list(code = SUBSET_N.OP, rank = TRUE)
        cmpSubsetGetterDispatch(STARTSUBSET_N.OP, dflt.op, call, cb, cntxt)
    }
})

setGetterInlineHandler("[[", function(call, cb, cntxt) {
    if (dots.or.missing(call) || ! is.null(names(call)) || length(call) < 3)
        cmpGetterDispatch(STARTSUBSET2.OP, DFLTSUBSET2.OP, call, cb, cntxt)
    else {
        nidx <- length(call) - 2;
        if (nidx == 1)
            dflt.op <- list(code = VECSUBSET2.OP, rank = FALSE)
        else if (nidx == 2)
            dflt.op <- list(code = MATSUBSET2.OP, rank = FALSE)
        else
            dflt.op <- list(code = SUBSET2_N.OP, rank = TRUE)
        cmpSubsetGetterDispatch(STARTSUBSET2_N.OP, dflt.op, call, cb, cntxt)
    }
})
@ 

\section{Discussion and future directions}
Despite its long gestation period this compiler should be viewed as a
first pass at creating a byte code compiler for R.  The compiler
itself is very simple in design as a single pass compiler with no
separate optimization phases.  Similarly the virtual machine uses a
very simple stack design.  While the compiler already achieves some
useful performance improvements on loop-intensive code, more can be
achieved with more sophisticated approaches.  This will be explored in
future work.

A major objective of this first version was to reproduce R's
interpreted semantics with as few departures as possible while at the
same time optimizing a number of aspect of the execution process. The
inlining rules controlled by an optimization level setting seem to
provide a good way of doing this, and the default optimization setting
seems to be reasonably effective.  Mechanisms for adjusting the
default settings via declarations will be explored and added in the
near future.

Future versions of the compiler and the engine will explore a number
of alternative designs.  Switching to a register-based virtual machine
will be explored fairly soon. Preliminary experiments suggest that
this can provide significant improvements in the case of tight loops
by allowing allocation of intermediate results to be avoided in many
cases.  It may be possible at least initially to keep the current
compiler ant just translate the stack-based machine code to a
register-based code.

Another direction that will be explored is whether sequences of
arithmetic and other numerical operations can be fused and possibly
vectorized. Again preliminary experiments are promising, but more
exploration is needed.

Other improvements to be examined may affect interpreted code as much
as compiled code.  These include more efficient environment
representations and more efficient calling conventions.

%% **** add some benchmarks
%% **** comment on engine

%% **** lots of other builtins, specials, and .Internals
%% **** controlling compiler warnings
%% **** merging in codetools features
%% **** put in install-time tests of assumptions about BUILTINs, etc.

%% **** switch to register-based engine
%% **** make function calls more efficient
%% **** try to stay within a single bceval call

%% **** think about optimizing things like mean?

%% **** jit that compiles all expressions??
%% **** can it record code for expr/env pairs or some such?
%% **** can it inline primitives at that point?

%% **** Stuff to think about:
%% ****   alternate environment representation for compiler
%% ****   optimizing function calls in general
%% ****   avoiding matching for BOA calls

%% **** Think about different ways of handling environments.  Should every op
%% **** return a new env object that includes (possible) new local vars?

%% **** Useful to be able to distinguish ... in args from assigned-to ...

%% **** matrix subsetting has to be slow because of the way dim is stored.
%% **** might make sense to explicitly compile as multiple operations and
%% **** invariant hoisting  out of loops for loops?

%% **** look at tail call optimization -- pass call and parent.frame??
%% **** eliminating variables not needed?
%% **** alternate builtin call implementations?

%% **** install compiled promises in code body??

%% **** catch errors at dispatching of inliners; fall back to runtime error


\appendix
\section{General utility functions}
This appendix provides a few general utility functions.

The utility function [[pasteExpr]] is used in the error messages.
%% **** use elipsis instead of collapse??
%% **** use error context or catch errors?
%% **** maybe don't need expression if we catch errors?
<<[[pasteExpr]] function>>=
pasteExpr <- function(e, prefix = "\n    ") {
    de <- deparse(e)
    if (length(de) == 1) sQuote(de)
    else paste(prefix, deparse(e), collapse="")
}
@ %def pasteExpr

The function [[dots.or.missing]] checks the argument list for any
missing or [[...]] arguments:
<<[[dots.or.missing]] function>>=
dots.or.missing <- function(args) {
    for (i in 1:length(args)) {
        a <-args[[i]]
        if (missing(a)) return(TRUE) #**** better test?
        if (typeof(a) == "symbol" && a == "...") return(TRUE)
    }
    return(FALSE)
}
@ %def dots.or.missing

The function [[any.dots]] is defined as
<<[[any.dots]] function>>=
any.dots <- function(args) {
    for (i in 1:length(args)) {
        a <-args[[i]]
        if (! missing(a) && typeof(a) == "symbol" && a == "...")
            return(TRUE)
    }
    return(FALSE)
}
@ %def any.dots

The utility function [[is.ddsym]] is used to recognize symbols of the
form [[..1]], [[..2]], and so on.
<<[[is.ddsym]] function>>=
is.ddsym <- function(name) {
    (is.symbol(name) || is.character(name)) &&
    length(grep("^\\.\\.[0-9]+$", as.character(name))) != 0
}
@ %def is.ddsym

[[missingArgs]] takes an argument list for a call a logical vector
indicating for each argument whether it is empty (missing) or not.
<<[[missingArgs]] function>>=
missingArgs <- function(args) {
    val <- logical(length(args))
    for (i in seq_along(args)) {
        a <- args[[i]]
        if (missing(a))
            val[i] <- TRUE
        else
            val[i] <- FALSE
    }
    val
}
@ %def missingArgs



\section{Environment utilities}
This appendix presents some utilities for computations on environments.

The function [[frameTypes]] takes an environment argument and returns
a character vector with elements for each frame in the environment
classifying the frame as local, namespace, or global. The environment
is assumed to be a standard evaluation environment that contains
[[.GlobalEnv]] as one of its parents. It does this by computing the
number of local, namespace, and global frames and then generating the
result using [[rep]].
<<[[frameTypes]] function>>=
frameTypes <- function(env) {
    top <- topenv(env)
    empty <- emptyenv()
    base <- baseenv()
    <<find the number [[nl]] of local frames>>
    <<find the number [[nn]] of namespace frames>>
    <<find the number [[ng]] of global frames>>
    rep(c("local", "namespace", "global"), c(nl, nn, ng))
}
@ %def frameTypes
The number of local frames is computes by marching down the parent
frames with [[parent.env]] until the top level environment is reached.
<<find the number [[nl]] of local frames>>=
nl <- 0
while (! identical(env, top)) {
    if (isNamespace(env))
        stop("namespace found within local environments")
    env <- parent.env(env)
    nl <- nl + 1
    if (identical(env, empty))
        stop("not a proper evaluation environment")
}
@ %def
The number of namespace frames is computed by continuing down the
parent frames until [[.GlobalEnv]] is reached.
<<find the number [[nn]] of namespace frames>>=
nn <- 0
if (isNamespace(env)) {
    while (! identical(env, .GlobalEnv)) {
        if (!isNamespace(env)) {
            name <- attr(env, "name")
            if (!is.character(name) || !startsWith(name, "imports:"))
		stop("non-namespace found within namespace environments")
        }
        env <- parent.env(env)
        nn <- nn + 1
        if (identical(env, empty))
            stop("not a proper evaluation environment")
    }
}
@ %def
Finally the number of global frames is computed by continuing until
the empty environment is reached.  An alternative would be to compute
the length of the result returned by [[search]]
<<find the number [[ng]] of global frames>>=
ng <- 0
while (! identical(env, empty)) {
    if (isNamespace(env))
	stop("namespace found within global environments")
    env <- parent.env(env)
    ng <- ng + 1
}
@ 

The function [[findHomeNS]] takes a variable name and a namespace
frame, or a namespace imports frame, and returns the namespace frame
in which the variable was originally defined, if any. The code assumes
that renaming has not been used (it may no longer be supported in the
namespace implementation in any case). Just in case, an attempt is
made to check for renaming.  The result returned is the namaspace
frame for the namespace in which the variable was defined or [[NULL]]
if the variable was not defined in the specified namespace or one of
its imports, or if the home namespace cannot be determined.
<<[[findHomeNS]] function>>=
## Given a symbol name and a namespace environment (or a namespace
## imports environment) find the namespace in which the symbol's value
## was originally defined. Returns NULL if the symbol is not found via
## the namespace.
findHomeNS <- function(sym, ns) {
    <<if [[ns]] is an imports frame find the corresponding namespace>>
    if (exists(sym, ns, inherits = FALSE))
        ns
    else if (exists(".__NAMESPACE__.", ns, inherits = FALSE)) {
        <<search the imports for [[sym]]>>
        NULL
    }
    else NULL
}
@ %def findHomeNS

If the [[ns]] argument is not a namespace frame it should be the
imports frame of a namespace.  Such an imports frame should have a
[[name]] attribute or the form [["imports:foo"]] it it is associated
with namespace [["foo"]]. This is used to find the namespace frame
that owns the imports frame in this case, and this frames is then
assigned to [[ns]].
<<if [[ns]] is an imports frame find the corresponding namespace>>=
if (! isNamespace(ns)) {
    ## As a convenience this allows for 'ns' to be the imports fame
    ## of a namespace. It appears that these now have a 'name'
    ## attribute of the form 'imports:foo' if 'foo' is the
    ## namespace.
    name <- attr(ns, "name")
    if (is.null(name))
        stop("'ns' must be a namespace or a namespace imports environment")
    ns <- getNamespace(sub("imports:", "", attr(ns, "name")))
}
@ %def

The imports are searched in reverse order since in the case of name
conflicts the last one imported will take precedence.  Full imports
via an [[import]] directive have to be handled differently than
selective imports created with [[importFrom]] directives.
<<search the imports for [[sym]]>>=
imports <- get(".__NAMESPACE__.", ns)$imports
for (i in rev(seq_along(imports))) {
    iname <- names(imports)[i]
    ins <- getNamespace(iname)
    if (identical(imports[[i]], TRUE)) {
        <<search in a full import>>
    }
    else {
        <<search in a selective import>>
    }
}
@ %def

If an entry in the [[imports]] specification for the import source
namespace [[ins]] has value [[TRUE]], then all exports of the [[ins]]
have been imported.  If [[sym]] is in the exports then the result of a
recursive call to [[findHomeNS]] is returned.
<<search in a full import>>=
if (identical(ins, .BaseNamespaceEnv))
    exports <- .BaseNamespaceEnv
else
    exports <- get(".__NAMESPACE__.", ins)$exports
if (exists(sym, exports, inherits = FALSE))
    return(findHomeNS(sym, ins))
@ %def

For selective imports the [[imports]] entry is a named character
vector mapping export name to import name.  In the absence of renaming
the names should match the values; if this is not the case [[NULL]] is
returned. Otherwise, a match results again in returning a recursive
call to [[findHomeNS]].
<<search in a selective import>>=
exports <- imports[[i]]
pos <- match(sym, names(exports), 0)
if (pos) {
    ## If renaming has been used things get too
    ## confusing so return NULL. (It is not clear if
    ## renaming this is still supported by the
    ## namespace code.)
    if (sym == exports[pos])
        return(findHomeNS(sym, ins))
    else
        return(NULL)
}
@

Given a package package frame from the global environment the function
[[packFrameName]] returns the associated package name, which is
computed from the [[name]] attribute.
%% **** might be good the check the name is of the form package:foo
<<[[packFrameName]] function>>=
packFrameName <- function(frame) {
    fname <- attr(frame, "name")
    if (is.character(fname))
        sub("package:", "", fname)
    else if (identical(frame , baseenv()))
        "base"
    else ""
}
@ %def packFrameName

For a namespace frame the function [[nsName]] retrieves the namespace
name from the namespace information structure.
<<[[nsName]] function>>=
nsName <- function(ns) {
    if (identical(ns, .BaseNamespaceEnv))
        "base"
    else {
        name <- ns$.__NAMESPACE__.$spec["name"]
        if (is.character(name))
            as.character(name) ## strip off names
        else ""
    }
}
@ %def nsName


\section{Experimental utilities}

This section presents two experimental utililities that, for now, are
not exported. The first is a simple byte code profiler. This requires
that the file [[eval.c]] be compiled with [[BC_PROFILING]] enabled,
which on [[gcc]]-compatible compilers will disable threaded code. The
byte code profiler uses the profile timer to record the active byte
code instruction at interrupt time. The function [[bcprof]] runs the
profiler while evaluating its argument expression and returns a
summary of the counts.

<<[[bcprof]] function>>=
bcprof <- function(expr) {
    .Internal(bcprofstart())
    expr
    .Internal(bcprofstop())
    val <- structure(.Internal(bcprofcounts()),
                     names = Opcodes.names)
    hits <- sort(val[val > 0], decreasing = TRUE)
    pct <- round(100 * hits / sum(hits), 1)
    data.frame(hits = hits, pct = pct)
}
@ %def bcprof

The second utility is a simple interface to the code building
mechanism that may help with experimenting with code optimizations.
<<[[asm]] function>>=
asm <- function(e, gen, env = .GlobalEnv, options = NULL) {
    cenv <- makeCenv(env)
    cntxt <- make.toplevelContext(cenv, options)
    cntxt$env <- addCenvVars(cenv, findLocals(e, cntxt))
    genCode(e, cntxt, gen = gen)
}
@ %def asm

\section{Opcode constants}
\subsection{Symbolic opcode names}
<<opcode definitions>>=
BCMISMATCH.OP <- 0
RETURN.OP <- 1
GOTO.OP <- 2
BRIFNOT.OP <- 3
POP.OP <- 4
DUP.OP <- 5
PRINTVALUE.OP <- 6
STARTLOOPCNTXT.OP <- 7
ENDLOOPCNTXT.OP <- 8
DOLOOPNEXT.OP <- 9
DOLOOPBREAK.OP <- 10
STARTFOR.OP <- 11
STEPFOR.OP <- 12
ENDFOR.OP <- 13
SETLOOPVAL.OP <- 14
INVISIBLE.OP <- 15
LDCONST.OP <- 16
LDNULL.OP <- 17
LDTRUE.OP <- 18
LDFALSE.OP <- 19
GETVAR.OP <- 20
DDVAL.OP <- 21
SETVAR.OP <- 22
GETFUN.OP <- 23
GETGLOBFUN.OP <- 24
GETSYMFUN.OP <- 25
GETBUILTIN.OP <- 26
GETINTLBUILTIN.OP <- 27
CHECKFUN.OP <- 28
MAKEPROM.OP <- 29
DOMISSING.OP <- 30
SETTAG.OP <- 31
DODOTS.OP <- 32
PUSHARG.OP <- 33
PUSHCONSTARG.OP <- 34
PUSHNULLARG.OP <- 35
PUSHTRUEARG.OP <- 36
PUSHFALSEARG.OP <- 37
CALL.OP <- 38
CALLBUILTIN.OP <- 39
CALLSPECIAL.OP <- 40
MAKECLOSURE.OP <- 41
UMINUS.OP <- 42
UPLUS.OP <- 43
ADD.OP <- 44
SUB.OP <- 45
MUL.OP <- 46
DIV.OP <- 47
EXPT.OP <- 48
SQRT.OP <- 49
EXP.OP <- 50
EQ.OP <- 51
NE.OP <- 52
LT.OP <- 53
LE.OP <- 54
GE.OP <- 55
GT.OP <- 56
AND.OP <- 57
OR.OP <- 58
NOT.OP <- 59
DOTSERR.OP <- 60
STARTASSIGN.OP <- 61
ENDASSIGN.OP <- 62
STARTSUBSET.OP <- 63
DFLTSUBSET.OP <- 64
STARTSUBASSIGN.OP <- 65
DFLTSUBASSIGN.OP <- 66
STARTC.OP <- 67
DFLTC.OP <- 68
STARTSUBSET2.OP <- 69
DFLTSUBSET2.OP <- 70
STARTSUBASSIGN2.OP <- 71
DFLTSUBASSIGN2.OP <- 72
DOLLAR.OP <- 73
DOLLARGETS.OP <- 74
ISNULL.OP <- 75
ISLOGICAL.OP <- 76
ISINTEGER.OP <- 77
ISDOUBLE.OP <- 78
ISCOMPLEX.OP <- 79
ISCHARACTER.OP <- 80
ISSYMBOL.OP <- 81
ISOBJECT.OP <- 82
ISNUMERIC.OP <- 83
VECSUBSET.OP <- 84
MATSUBSET.OP <- 85
VECSUBASSIGN.OP <- 86
MATSUBASSIGN.OP <- 87
AND1ST.OP <- 88
AND2ND.OP <- 89
OR1ST.OP <- 90
OR2ND.OP <- 91
GETVAR_MISSOK.OP <- 92
DDVAL_MISSOK.OP <- 93
VISIBLE.OP <- 94
SETVAR2.OP <- 95
STARTASSIGN2.OP <- 96
ENDASSIGN2.OP <- 97
SETTER_CALL.OP <- 98
GETTER_CALL.OP <- 99
SWAP.OP <- 100
DUP2ND.OP <- 101
SWITCH.OP <- 102
RETURNJMP.OP <- 103
STARTSUBSET_N.OP <- 104
STARTSUBASSIGN_N.OP <- 105
VECSUBSET2.OP <- 106
MATSUBSET2.OP <- 107
VECSUBASSIGN2.OP <- 108
MATSUBASSIGN2.OP <- 109
STARTSUBSET2_N.OP <- 110
STARTSUBASSIGN2_N.OP <- 111
SUBSET_N.OP <- 112
SUBSET2_N.OP <- 113
SUBASSIGN_N.OP <- 114
SUBASSIGN2_N.OP <-115
LOG.OP <- 116
LOGBASE.OP <- 117
MATH1.OP <- 118
DOTCALL.OP <- 119
COLON.OP <- 120
SEQALONG.OP <- 121
SEQLEN.OP <- 122
@ 

\subsection{Instruction argument counts and names}
<<opcode argument counts>>=
Opcodes.argc <- list(
BCMISMATCH.OP = 0,
RETURN.OP = 0,
GOTO.OP = 1,
BRIFNOT.OP = 2,
POP.OP = 0,
DUP.OP = 0,
PRINTVALUE.OP = 0,
STARTLOOPCNTXT.OP = 1,
ENDLOOPCNTXT.OP = 0,
DOLOOPNEXT.OP = 0,
DOLOOPBREAK.OP = 0,
STARTFOR.OP = 3,
STEPFOR.OP = 1,
ENDFOR.OP = 0,
SETLOOPVAL.OP = 0,
INVISIBLE.OP = 0,
LDCONST.OP = 1,
LDNULL.OP = 0,
LDTRUE.OP = 0,
LDFALSE.OP = 0,
GETVAR.OP = 1,
DDVAL.OP = 1,
SETVAR.OP = 1,
GETFUN.OP = 1,
GETGLOBFUN.OP = 1,
GETSYMFUN.OP = 1,
GETBUILTIN.OP = 1,
GETINTLBUILTIN.OP = 1,
CHECKFUN.OP = 0,
MAKEPROM.OP = 1,
DOMISSING.OP = 0,
SETTAG.OP = 1,
DODOTS.OP = 0,
PUSHARG.OP = 0,
PUSHCONSTARG.OP = 1,
PUSHNULLARG.OP = 0,
PUSHTRUEARG.OP = 0,
PUSHFALSEARG.OP = 0,
CALL.OP = 1,
CALLBUILTIN.OP = 1,
CALLSPECIAL.OP = 1,
MAKECLOSURE.OP = 1,
UMINUS.OP = 1,
UPLUS.OP = 1,
ADD.OP = 1,
SUB.OP = 1,
MUL.OP = 1,
DIV.OP = 1,
EXPT.OP = 1,
SQRT.OP = 1,
EXP.OP = 1,
EQ.OP = 1,
NE.OP = 1,
LT.OP = 1,
LE.OP = 1,
GE.OP = 1,
GT.OP = 1,
AND.OP = 1,
OR.OP = 1,
NOT.OP = 1,
DOTSERR.OP = 0,
STARTASSIGN.OP = 1,
ENDASSIGN.OP = 1,
STARTSUBSET.OP = 2,
DFLTSUBSET.OP = 0,
STARTSUBASSIGN.OP = 2,
DFLTSUBASSIGN.OP = 0,
STARTC.OP = 2,
DFLTC.OP = 0,
STARTSUBSET2.OP = 2,
DFLTSUBSET2.OP = 0,
STARTSUBASSIGN2.OP = 2,
DFLTSUBASSIGN2.OP = 0,
DOLLAR.OP = 2,
DOLLARGETS.OP = 2,
ISNULL.OP = 0,
ISLOGICAL.OP = 0,
ISINTEGER.OP = 0,
ISDOUBLE.OP = 0,
ISCOMPLEX.OP = 0,
ISCHARACTER.OP = 0,
ISSYMBOL.OP = 0,
ISOBJECT.OP = 0,
ISNUMERIC.OP = 0,
VECSUBSET.OP = 1,
MATSUBSET.OP = 1,
VECSUBASSIGN.OP = 1,
MATSUBASSIGN.OP = 1,
AND1ST.OP = 2,
AND2ND.OP = 1,
OR1ST.OP = 2,
OR2ND.OP = 1,
GETVAR_MISSOK.OP = 1,
DDVAL_MISSOK.OP = 1,
VISIBLE.OP = 0,
SETVAR2.OP = 1,
STARTASSIGN2.OP = 1,
ENDASSIGN2.OP = 1,
SETTER_CALL.OP = 2,
GETTER_CALL.OP = 1,
SWAP.OP = 0,
DUP2ND.OP = 0,
SWITCH.OP = 4,
RETURNJMP.OP = 0,
STARTSUBSET_N.OP = 2,
STARTSUBASSIGN_N.OP = 2,
VECSUBSET2.OP = 1,
MATSUBSET2.OP = 1,
VECSUBASSIGN2.OP = 1,
MATSUBASSIGN2.OP = 1,
STARTSUBSET2_N.OP = 2,
STARTSUBASSIGN2_N.OP = 2,
SUBSET_N.OP = 2,
SUBSET2_N.OP = 2,
SUBASSIGN_N.OP = 2,
SUBASSIGN2_N.OP = 2,
LOG.OP = 1,
LOGBASE.OP = 1,
MATH1.OP = 2,
DOTCALL.OP = 2,
COLON.OP = 1,
SEQALONG.OP = 1,
SEQLEN.OP = 1
)
@ 

<<opcode names>>=
Opcodes.names <- names(Opcodes.argc)
@ %def Opcodes.names


\section{Implementation file}
%% Benchmark code:
% sf <- function(x) {
%     s <- 0
%     for (y in x)
%         s <- s + y
%     s
% }

% sfc <- cmpfun(sf)

% x <- 1 : 1000000

% system.time(sf(x))
% system.time(sfc(x))


%% **** need header/copyright/license stuff here
<<cmp.R>>=
#  Automatically generated from ../noweb/compiler.nw.
#
#  File src/library/compiler/R/cmp.R
#  Part of the R package, https://www.R-project.org
#  Copyright (C) 2001-2014 Luke Tierney
#
#  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 2 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/

##
## Compiler options
##

<<compiler options data base>>

<<[[getCompilerOption]] function>>


##
## General Utilities
##

<<[[pasteExpr]] function>>

<<[[dots.or.missing]] function>>

<<[[any.dots]] function>>

<<[[is.ddsym]] function>>


<<[[missingArgs]] function>>


##
## Environment utilities
##

<<[[frameTypes]] function>>

<<[[findHomeNS]] function>>

<<[[packFrameName]] function>>

<<[[nsName]] function>>


##
## Finding possible local variables
##

<<[[getAssignedVar]] function>>

<<[[findLocals1]] function>>

<<[[findLocalsList1]] function>>

<<[[findLocals]] function>>

<<[[findLocalsList]] function>>


##
## Compilation environment implementation
##

<<[[makeCenv]] function>>

<<[[addCenvVars]] function>>

<<[[addCenvFrame]] function>>

<<[[findCenvVar]] function>>

<<[[isBaseVar]] function>>

<<[[funEnv]] function>>

<<[[findLocVar]] function>>

<<[[findFunDef]] function>>

<<[[findVar]] function>>


##
## Constant folding
##

<<[[maxConstSize]] and [[constModes]] definitions>>

<<[[constNames]] definition>>

<<[[checkConst]] function>>

<<[[constantFoldSym]] function>>

<<[[getFoldFun]] function>>

<<[[constantFoldCall]] function>>

<<[[constantFold]] function>>

<<[[foldFuns]] definition>>

<<[[languageFuns]] definition>>


##
## Opcode constants
##

<<opcode argument counts>>

<<opcode names>>

<<opcode definitions>>


##
## Code buffer implementation
##

<<[[make.codeBuf]] function>>

<<[[codeBufCode]] function>>

<<[[genCode]] function>>


##
## Compiler contexts
##

<<[[make.toplevelContext]] function>>

<<[[make.callContext]] function>>

<<[[make.promiseContext]] function>>

<<[[make.functionContext]] function>>

<<[[make.nonTailCallContext]] function>>

<<[[make.argContext]] function>>

<<[[make.noValueContext]] function>>

<<[[make.loopContext]] function>>


##
## Compiler top level
##

<<[[cmp]] function>>

<<[[cmpConst]] function>>

<<[[cmpSym]] function>>

<<[[cmpCall]] function>>

<<[[cmpCallSymFun]] function>>

<<[[cmpCallExprFun]] function>>

<<[[cmpCallArgs]] function>>

<<[[cmpConstArg]]>>

<<[[checkCall]] function>>

## **** need to handle ... and ..n arguments specially
## **** separate call opcode for calls with named args?
## **** for (a in e[[-1]]) ... goes into infinite loop

<<[[cmpTag]] function>>


##
## Inlining mechanism
##

<<inline handler implementation>>

## tryInline implements the rule permitting inlining as they stand now:
## Inlining is controlled by the optimize compiler option, with possible
## values 0, 1, 2, 3.

<<[[getInlineInfo]] function>>

<<[[tryInline]] function>>


##
## Inline handlers for some SPECIAL functions
##

<<inlining handler for [[function]]>>

<<inlining handler for left brace function>>

<<inlining handler for [[if]]>>

<<inlining handler for [[&&]]>>

<<inlining handler for [[||]]>>


##
## Inline handlers for assignment expressions
##

<<setter inlining mechanism>>

<<getter inlining mechanism>>

<<[[cmpAssign]] function>>

<<[[flattenPlace]] function>>

<<[[cmpGetterCall]] function>>

<<[[checkAssign]] function>>

<<[[cmpSymbolAssign]] function>>

<<[[cmpComplexAssign]] function>>

<<[[cmpSetterCall]] function>>

<<[[getAssignFun]] function>>

<<[[cmpSetterDispatch]] function>>

<<inlining handlers for [[<-]], [[=]], and [[<<-]]>>

<<setter inline handler for [[$<-]]>>

<<setter inline handlers for [[ [<- ]] and [[ [[<- ]]>>

<<[[cmpGetterDispatch]] function>>

<<getter inline handler for [[$]]>>

<<getter inline handlers for [[[]] and [[[[]]>>


##
## Inline handlers for loops
##

<<inlining handlers for [[next]] and [[break]]>>

<<[[isLoopStopFun]] function>>

<<[[isLoopTopFun]] function>>

<<[[checkSkipLoopCntxtList]] function>>

<<[[checkSkipLoopCntxt]] function>>

<<inlining handler for [[repeat]] loops>>

<<[[cmpRepeatBody]] function>>

<<inlining handler for [[while]] loops>>

<<[[cmpWhileBody]] function>>

<<inlining handler for [[for]] loops>>

<<[[cmpForBody]] function>>


##
## Inline handlers for one and two argument primitives
##

<<[[cmpPrim1]] function>>

<<[[cmpPrim2]] function>>

<<inline handlers for [[+]] and [[-]]>>

<<inline handlers for [[*]] and [[/]]>>

<<inline handlers for [[^]], [[exp]], and [[sqrt]]>>

<<inline handler for [[log]]>>

<<list of one argument math functions>>

<<[[cmpMath1]] function>>

<<inline one argument math functions>>

<<inline handlers for comparison operators>>

<<inline handlers for [[&]] and [[|]]>>

<<inline handler for [[!]]>>


##
## Inline handlers for the left parenthesis function
##

<<inlining handler for [[(]]>>


##
## Inline handlers for general BUILTIN and SPECIAL functions
##

<<[[cmpBuiltin]] function>>

<<[[cmpBuiltinArgs]] function>>

<<[[cmpSpecial]] function>>

<<inlining handler for [[.Internal]]>>


##
## Inline handlers for subsetting and related operators
##

<<[[cmpDispatch]] function>>

<<inlining handlers for some dispatching SPECIAL functions>>

<<inlining handler for [[$]]>>


##
## Inline handler for local() and return() functions
##

<<inlining handler for [[local]] function>>

<<inlining handler for [[return]] function>>


##
## Inline handlers for the family of is.xyz primitives
##

<<[[cmpIs]] function>>

<<inlining handlers for [[is.xyz]] functions>>


##
## Default inline handlers for BUILTIN and SPECIAL functions
##

<<install default inlining handlers>>


##
## Inline handlers for some .Internal functions
##

<<[[simpleFormals]] function>>

<<[[simpleArgs]] function>>

<<[[is.simpleInternal]] function>>

<<[[inlineSimpleInternalCall]] function>>

<<[[cmpSimpleInternal]] function>>

<<inline safe simple [[.Internal]] functions from [[base]]>>

<<inline safe simple [[.Internal]] functions from [[stats]]>>


##
## Inline handler for switch
##

<<[[findActionIndex]] function>>

<<inline handler for [[switch]]>>


##
## Inline handler for .Call
##

<<inline handler for [[.Call]]>>


##
## Inline handlers for generating integer sequences
##

<<inline handlers for integer sequences>>


##
## Inline handlers to control warnings
##

<<[[cmpMultiColon]] function>>

<<inlining handlers for [[::]] and [[:::]]>>

<<setter inlining handler for [[@<-]]>>

<<inlining handler for [[with]]>>

<<inlining handler for [[require]]>>


##
## Compiler warnings
##

<<[[suppressAll]] function>>

<<[[suppressUndef]] function>>

<<[[notifyLocalFun]] function>>

<<[[notifyUndefFun]] function>>

<<[[notifyUndefVar]] function>>

<<[[notifyNoSuperAssignVar]] function>>

<<[[notifyWrongArgCount]] function>>

<<[[notifyWrongDotsUse]] function>>

<<[[notifyWrongBreakNext]] function>>

<<[[notifyBadCall]] function>>

<<[[notifyBadAssignFun]] function>>

<<[[notifyMultipleSwitchDefaults]] function>>

<<[[notifyNoSwitchcases]] function>>


##
## Compiler interface
##

<<[[compile]] function>>

<<[[cmpfun]] function>>

<<[[tryCmpfun]] function>>

<<[[tryCompile]] function>>

<<[[cmpframe]] function>>

<<[[cmplib]] function>>

<<[[cmpfile]] function>>

<<[[loadcmp]] function>>

<<[[enableJIT]] function>>

<<[[compilePKGS]] function>>

<<[[setCompilerOptions]] function>>

<<[[.onLoad]] function>>

<<[[checkCompilerOptions]] function>>


##
## Disassembler
##

<<[[bcDecode]] function>>

<<[[disassemble]] function>>


##
## Experimental Utilities
##

<<[[bcprof]] function>>

<<[[asm]] function>>


##
## Improved subset and subassign handling
##

<<[[cmpSubsetDispatch]] function>>

<<inline handlers for subsetting>>

<<[[cmpSubassignDispatch]] function>>

<<inline handlers for subassignment>>

<<[[cmpSubsetGetterDispatch]] function>>

<<inline handlers for subset getters>>
@ 
\end{document}