# Chapter 18 Interfacing C with Objective Caml

- Overview and compilation information
- The `value` type
- Representation of Caml data types
- Operations on values
- Living in harmony with the garbage collector
- A complete example
- Advanced topic: callbacks from C to Caml
- Advanced example with callbacks
- Advanced topic: custom blocks
- Building mixed C/Caml libraries: `ocamlmklib`

This chapter describes how user-defined primitives, written in C, can be linked with Caml code and called from Caml functions.

## 18.1 Overview and compilation information

### 18.1.1 Declaring primitives

User primitives are declared in an implementation file or `struct`…`end` module expression using the `external` keyword:

            external name : type = C-function-name

This defines the value name name as a function with type type that executes by calling the given C function. For instance, here is how the `input` primitive is declared in the standard library module `Pervasives`:

            external input : in_channel -> string -> int -> int -> int
                           = "input"

Primitives with several arguments are always curried. The C function does not necessarily have the same name as the ML function.

External functions thus defined can be specified in interface files or `sig`…`end` signatures either as regular values

            val name : type

thus hiding their implementation as a C function, or explicitly as “manifest” external functions

            external name : type = C-function-name

The latter is slightly more efficient, as it allows clients of the module to call directly the C function instead of going through the corresponding Caml function.

The arity (number of arguments) of a primitive is automatically determined from its Caml type in the `external` declaration, by counting the number of function arrows in the type. For instance, `input` above has arity 4, and the `input` C function is called with four arguments. Similarly,

        external input2 : in_channel * string * int * int -> int = "input2"

has arity 1, and the `input2` C function receives one argument (which is a quadruple of Caml values).

Type abbreviations are not expanded when determining the arity of a primitive. For instance,

            type int_endo = int -> int
            external f : int_endo -> int_endo = "f"
            external g : (int -> int) -> (int -> int) = "f"

`f` has arity 1, but `g` has arity 2. This allows a primitive to return a functional value (as in the `f` example above): just remember to name the functional return type in a type abbreviation.

### 18.1.2 Implementing primitives

User primitives with arity n ≤ 5 are implemented by C functions that take n arguments of type `value`, and return a result of type `value`. The type `value` is the type of the representations for Caml values. It encodes objects of several base types (integers, floating-point numbers, strings, …), as well as Caml data structures. The type `value` and the associated conversion functions and macros are described in details below. For instance, here is the declaration for the C function implementing the `input` primitive:

    CAMLprim value input(value channel, value buffer, value offset, value length)
    {
      ...
    }

When the primitive function is applied in a Caml program, the C function is called with the values of the expressions to which the primitive is applied as arguments. The value returned by the function is passed back to the Caml program as the result of the function application.

User primitives with arity greater than 5 should be implemented by two C functions. The first function, to be used in conjunction with the bytecode compiler `ocamlc`, receives two arguments: a pointer to an array of Caml values (the values for the arguments), and an integer which is the number of arguments provided. The other function, to be used in conjunction with the native-code compiler `ocamlopt`, takes its arguments directly. For instance, here are the two C functions for the 7-argument primitive `Nat.add_nat`:

    CAMLprim value add_nat_native(value nat1, value ofs1, value len1,
                                  value nat2, value ofs2, value len2,
                                  value carry_in)
    {
      ...
    }
    CAMLprim value add_nat_bytecode(value * argv, int argn)
    {
      return add_nat_native(argv[0], argv[1], argv[2], argv[3],
                            argv[4], argv[5], argv[6]);
    }

The names of the two C functions must be given in the primitive declaration, as follows:

            external name : type =
                     bytecode-C-function-name native-code-C-function-name

For instance, in the case of `add_nat`, the declaration is:

            external add_nat: nat -> int -> int -> nat -> int -> int -> int -> int
                            = "add_nat_bytecode" "add_nat_native"

Implementing a user primitive is actually two separate tasks: on the one hand, decoding the arguments to extract C values from the given Caml values, and encoding the return value as a Caml value; on the other hand, actually computing the result from the arguments. Except for very simple primitives, it is often preferable to have two distinct C functions to implement these two tasks. The first function actually implements the primitive, taking native C values as arguments and returning a native C value. The second function, often called the “stub code”, is a simple wrapper around the first function that converts its arguments from Caml values to C values, call the first function, and convert the returned C value to Caml value. For instance, here is the stub code for the `input` primitive:

    CAMLprim value input(value channel, value buffer, value offset, value length)
    {
      return Val_long(getblock((struct channel *) channel,
                               &Byte(buffer, Long_val(offset)),
                               Long_val(length)));
    }

(Here, `Val_long`, `Long_val` and so on are conversion macros for the type `value`, that will be described later. The `CAMLprim` macro expands to the required compiler directives to ensure that the function following it is exported and accessible from Caml.) The hard work is performed by the function `getblock`, which is declared as:

    long getblock(struct channel * channel, char * p, long n)
    {
      ...
    }

To write C code that operates on Objective Caml values, the following include files are provided:

Include file | Provides
`caml/mlvalues.h` | definition of the `value` type, and conversion macros
`caml/alloc.h` | allocation functions (to create structured Caml objects)
`caml/memory.h` | miscellaneous memory-related functions and macros (for GC interface, in-place modification of structures, etc).
`caml/fail.h` | functions for raising exceptions (see section 18.4.5)
`caml/callback.h` | callback from C to Caml (see section 18.7).
`caml/custom.h` | operations on custom blocks (see section 18.9).
`caml/intext.h` | operations for writing user-defined serialization and deserialization functions for custom blocks (see section 18.9).

These files reside in the `caml/` subdirectory of the Objective Caml standard library directory (usually `/usr/local/lib/ocaml`).

### 18.1.3 Statically linking C code with Caml code

The Objective Caml runtime system comprises three main parts: the bytecode interpreter, the memory manager, and a set of C functions that implement the primitive operations. Some bytecode instructions are provided to call these C functions, designated by their offset in a table of functions (the table of primitives).

In the default mode, the Caml linker produces bytecode for the standard runtime system, with a standard set of primitives. References to primitives that are not in this standard set result in the “unavailable C primitive” error. (Unless dynamic loading of C libraries is supported – see section 18.1.4 below.)

In the “custom runtime” mode, the Caml linker scans the object files and determines the set of required primitives. Then, it builds a suitable runtime system, by calling the native code linker with:

- the table of the required primitives;
- a library that provides the bytecode interpreter, the memory manager, and the standard primitives;
- libraries and object code files (`.o` files) mentioned on the command line for the Caml linker, that provide implementations for the user's primitives.

This builds a runtime system with the required primitives. The Caml linker generates bytecode for this custom runtime system. The bytecode is appended to the end of the custom runtime system, so that it will be automatically executed when the output file (custom runtime + bytecode) is launched.

To link in “custom runtime” mode, execute the `ocamlc` command with:

- the `-custom` option;
- the names of the desired Caml object files (`.cmo` and `.cma` files) ;
- the names of the C object files and libraries (`.o` and `.a` files) that implement the required primitives. Under Unix and Windows, a library named `lib` name`.a` (respectively, `.lib`) residing in one of the standard library directories can also be specified as `-cclib -l` name.

If you are using the native-code compiler `ocamlopt`, the `-custom` flag is not needed, as the final linking phase of `ocamlopt` always builds a standalone executable. To build a mixed Caml/C executable, execute the `ocamlopt` command with:

- the names of the desired Caml native object files (`.cmx` and `.cmxa` files);
- the names of the C object files and libraries (`.o`, `.a`, `.so` or `.dll` files) that implement the required primitives.

Starting with OCaml 3.00, it is possible to record the `-custom` option as well as the names of C libraries in a Caml library file `.cma` or `.cmxa`. For instance, consider a Caml library `mylib.cma`, built from the Caml object files `a.cmo` and `b.cmo`, which reference C code in `libmylib.a`. If the library is built as follows:

            ocamlc -a -o mylib.cma -custom a.cmo b.cmo -cclib -lmylib

users of the library can simply link with `mylib.cma`:

            ocamlc -o myprog mylib.cma ...

and the system will automatically add the `-custom` and `-cclib -lmylib` options, achieving the same effect as

            ocamlc -o myprog -custom a.cmo b.cmo ... -cclib -lmylib

The alternative, of course, is to build the library without extra options:

            ocamlc -a -o mylib.cma a.cmo b.cmo

and then ask users to provide the `-custom` and `-cclib -lmylib` options themselves at link-time:

            ocamlc -o myprog -custom mylib.cma ... -cclib -lmylib

The former alternative is more convenient for the final users of the library, however.

### 18.1.4 Dynamically linking C code with Caml code

Starting with OCaml 3.03, an alternative to static linking of C code using the `-custom` code is provided. In this mode, the Caml linker generates a pure bytecode executable (no embedded custom runtime system) that simply records the names of dynamically-loaded libraries containing the C code. The standard Caml runtime system `ocamlrun` then loads dynamically these libraries, and resolves references to the required primitives, before executing the bytecode.

This facility is currently supported and known to work well under Linux, MacOS X, and Windows. It is supported, but not fully tested yet, under FreeBSD, Tru64, Solaris and Irix. It is not supported yet under other Unixes.

To dynamically link C code with Caml code, the C code must first be compiled into a shared library (under Unix) or DLL (under Windows). This involves 1- compiling the C files with appropriate C compiler flags for producing position-independent code (when required by the operating system), and 2- building a shared library from the resulting object files. The resulting shared library or DLL file must be installed in a place where `ocamlrun` can find it later at program start-up time (see section 10.3). Finally (step 3), execute the `ocamlc` command with

- the names of the desired Caml object files (`.cmo` and `.cma` files) ;
- the names of the C shared libraries (`.so` or `.dll` files) that implement the required primitives. Under Unix and Windows, a library named `dll` name`.so` (respectively, `.dll`) residing in one of the standard library directories can also be specified as `-dllib -l` name.

Do not set the `-custom` flag, otherwise you're back to static linking as described in section 18.1.3. The `ocamlmklib` tool (see section 18.10) automates steps 2 and 3.

As in the case of static linking, it is possible (and recommended) to record the names of C libraries in a Caml `.cma` library archive. Consider again a Caml library `mylib.cma`, built from the Caml object files `a.cmo` and `b.cmo`, which reference C code in `dllmylib.so`. If the library is built as follows:

            ocamlc -a -o mylib.cma a.cmo b.cmo -dllib -lmylib

users of the library can simply link with `mylib.cma`:

            ocamlc -o myprog mylib.cma ...

and the system will automatically add the `-dllib -lmylib` option, achieving the same effect as

            ocamlc -o myprog a.cmo b.cmo ... -dllib -lmylib

Using this mechanism, users of the library `mylib.cma` do not need to known that it references C code, nor whether this C code must be statically linked (using `-custom`) or dynamically linked.

### 18.1.5 Choosing between static linking and dynamic linking

After having described two different ways of linking C code with Caml code, we now review the pros and cons of each, to help developers of mixed Caml/C libraries decide.

The main advantage of dynamic linking is that it preserves the platform-independence of bytecode executables. That is, the bytecode executable contains no machine code, and can therefore be compiled on platform A and executed on other platforms B, C, …, as long as the required shared libraries are available on all these platforms. In contrast, executables generated by `ocamlc -custom` run only on the platform on which they were created, because they embark a custom-tailored runtime system specific to that platform. In addition, dynamic linking results in smaller executables.

Another advantage of dynamic linking is that the final users of the library do not need to have a C compiler, C linker, and C runtime libraries installed on their machines. This is no big deal under Unix and Cygwin, but many Windows users are reluctant to install Microsoft Visual C just to be able to do `ocamlc -custom`.

There are two drawbacks to dynamic linking. The first is that the resulting executable is not stand-alone: it requires the shared libraries, as well as `ocamlrun`, to be installed on the machine executing the code. If you wish to distribute a stand-alone executable, it is better to link it statically, using `ocamlc -custom -ccopt -static` or `ocamlopt -ccopt -static`. Dynamic linking also raises the “DLL hell” problem: some care must be taken to ensure that the right versions of the shared libraries are found at start-up time.

The second drawback of dynamic linking is that it complicates the construction of the library. The C compiler and linker flags to compile to position-independent code and build a shared library vary wildly between different Unix systems. Also, dynamic linking is not supported on all Unix systems, requiring a fall-back case to static linking in the Makefile for the library. The `ocamlmklib` command (see section 18.10) tries to hide some of these system dependencies.

In conclusion: dynamic linking is highly recommended under the native Windows port, because there are no portability problems and it is much more convenient for the end users. Under Unix, dynamic linking should be considered for mature, frequently used libraries because it enhances platform-independence of bytecode executables. For new or rarely-used libraries, static linking is much simpler to set up in a portable way.

### 18.1.6 Building standalone custom runtime systems

It is sometimes inconvenient to build a custom runtime system each time Caml code is linked with C libraries, like `ocamlc -custom` does. For one thing, the building of the runtime system is slow on some systems (that have bad linkers or slow remote file systems); for another thing, the platform-independence of bytecode files is lost, forcing to perform one `ocamlc -custom` link per platform of interest.

An alternative to `ocamlc -custom` is to build separately a custom runtime system integrating the desired C libraries, then generate “pure” bytecode executables (not containing their own runtime system) that can run on this custom runtime. This is achieved by the `-make_runtime` and `-use_runtime` flags to `ocamlc`. For example, to build a custom runtime system integrating the C parts of the “Unix” and “Threads” libraries, do:

            ocamlc -make-runtime -o /home/me/ocamlunixrun unix.cma threads.cma

To generate a bytecode executable that runs on this runtime system, do:

            ocamlc -use-runtime /home/me/ocamlunixrun -o myprog \
                    unix.cma threads.cma your .cmo and .cma files

The bytecode executable `myprog` can then be launched as usual: `myprog` args or `/home/me/ocamlunixrun myprog` args.

Notice that the bytecode libraries `unix.cma` and `threads.cma` must be given twice: when building the runtime system (so that `ocamlc` knows which C primitives are required) and also when building the bytecode executable (so that the bytecode from `unix.cma` and `threads.cma` is actually linked in).

## 18.2 The `value` type

All Caml objects are represented by the C type `value`, defined in the include file `caml/mlvalues.h`, along with macros to manipulate values of that type. An object of type `value` is either:

- an unboxed integer;
- a pointer to a block inside the heap (such as the blocks allocated through one of the `caml_alloc_*` functions below);
- a pointer to an object outside the heap (e.g., a pointer to a block allocated by `malloc`, or to a C variable).

### 18.2.1 Integer values

Integer values encode 31-bit signed integers (63-bit on 64-bit architectures). They are unboxed (unallocated).

### 18.2.2 Blocks

Blocks in the heap are garbage-collected, and therefore have strict structure constraints. Each block includes a header containing the size of the block (in words), and the tag of the block. The tag governs how the contents of the blocks are structured. A tag lower than `No_scan_tag` indicates a structured block, containing well-formed values, which is recursively traversed by the garbage collector. A tag greater than or equal to `No_scan_tag` indicates a raw block, whose contents are not scanned by the garbage collector. For the benefits of ad-hoc polymorphic primitives such as equality and structured input-output, structured and raw blocks are further classified according to their tags as follows:

Tag | Contents of the block
0 to `No_scan_tag`−1 | A structured block (an array of Caml objects). Each field is a `value`.
`Closure_tag` | A closure representing a functional value. The first word is a pointer to a piece of code, the remaining words are `value` containing the environment.
`String_tag` | A character string.
`Double_tag` | A double-precision floating-point number.
`Double_array_tag` | An array or record of double-precision floating-point numbers.
`Abstract_tag` | A block representing an abstract datatype.
`Custom_tag` | A block representing an abstract datatype with user-defined finalization, comparison, hashing, serialization and deserialization functions atttached.

### 18.2.3 Pointers outside the heap

Any word-aligned pointer to an address outside the heap can be safely cast to and from the type `value`. This includes pointers returned by `malloc`, and pointers to C variables (of size at least one word) obtained with the `&` operator.

Caution: if a pointer returned by `malloc` is cast to the type `value` and returned to Caml, explicit deallocation of the pointer using `free` is potentially dangerous, because the pointer may still be accessible from the Caml world. Worse, the memory space deallocated by `free` can later be reallocated as part of the Caml heap; the pointer, formerly pointing outside the Caml heap, now points inside the Caml heap, and this can confuse the garbage collector. To avoid these problems, it is preferable to wrap the pointer in a Caml block with tag `Abstract_tag` or `Custom_tag`.

## 18.3 Representation of Caml data types

This section describes how Caml data types are encoded in the `value` type.

### 18.3.1 Atomic types

Caml type | Encoding
`int` | Unboxed integer values.
`char` | Unboxed integer values (ASCII code).
`float` | Blocks with tag `Double_tag`.
`string` | Blocks with tag `String_tag`.
`int32` | Blocks with tag `Custom_tag`.
`int64` | Blocks with tag `Custom_tag`.
`nativeint` | Blocks with tag `Custom_tag`.

### 18.3.2 Tuples and records

Tuples are represented by pointers to blocks, with tag 0.

Records are also represented by zero-tagged blocks. The ordering of labels in the record type declaration determines the layout of the record fields: the value associated to the label declared first is stored in field 0 of the block, the value associated to the label declared next goes in field 1, and so on.

As an optimization, records whose fields all have static type `float` are represented as arrays of floating-point numbers, with tag `Double_array_tag`. (See the section below on arrays.)

### 18.3.3 Arrays

Arrays of integers and pointers are represented like tuples, that is, as pointers to blocks tagged 0. They are accessed with the `Field` macro for reading and the `modify` function for writing.

Arrays of floating-point numbers (type `float array`) have a special, unboxed, more efficient representation. These arrays are represented by pointers to blocks with tag `Double_array_tag`. They should be accessed with the `Double_field` and `Store_double_field` macros.

### 18.3.4 Concrete types

Constructed terms are represented either by unboxed integers (for constant constructors) or by blocks whose tag encode the constructor (for non-constant constructors). The constant constructors and the non-constant constructors for a given concrete type are numbered separately, starting from 0, in the order in which they appear in the concrete type declaration. Constant constructors are represented by unboxed integers equal to the constructor number. Non-constant constructors declared with a n-tuple as argument are represented by a block of size n, tagged with the constructor number; the n fields contain the components of its tuple argument. Other non-constant constructors are represented by a block of size 1, tagged with the constructor number; the field 0 contains the value of the constructor argument. Example:

Constructed term | Representation
`()` | `Val_int(0)`
`false` | `Val_int(0)`
`true` | `Val_int(1)`
`[]` | `Val_int(0)`
`h::t` | Block with size = 2 and tag = 0; first field contains `h`, second field `t`

As a convenience, `caml/mlvalues.h` defines the macros `Val_unit`, `Val_false` and `Val_true` to refer to `()`, `false` and `true`.

### 18.3.5 Objects

Objects are represented as blocks with tag `Object_tag`. The first field of the block refers to the object class and associated method suite, in a format that cannot easily be exploited from C. The second field contains a unique object ID, used for comparisons. The remaining fields of the object contain the values of the instance variables of the object. It is unsafe to access directly instance variables, as the type system provides no guaranteee about the instance variables contained by an object.

One may extract a public method from an object using the C function `caml_get_public_method` (declared in `<caml/mlvalues.h>`.) Since public method tags are hashed in the same way as variant tags, and methods are functions taking self as first argument, if you want to do the method call `foo#bar` from the C side, you should call:

      callback(caml_get_public_method(foo, hash_variant("bar")), foo);

### 18.3.6 Variants

Like constructed terms, values of variant types are represented either as integers (for variants without arguments), or as blocks (for variants with an argument). Unlike constructed terms, variant constructors are not numbered starting from 0, but identified by a hash value (a Caml integer), as computed by the C function `hash_variant` (declared in `<caml/mlvalues.h>`): the hash value for a variant constructor named, say, `VConstr` is `hash_variant("VConstr")`.

The variant value ``VConstr` is represented by `hash_variant("VConstr")`. The variant value ``VConstr(`v`)` is represented by a block of size 2 and tag 0, with field number 0 containing `hash_variant("VConstr")` and field number 1 containing v.

Unlike constructed values, variant values taking several arguments are not flattened. That is, ``VConstr(`v`,` v'`)` is represented by a block of size 2, whose field number 1 contains the representation of the pair `(`v`,` v'`)`, rather than a block of size 3 containing v and v' in fields 1 and 2.

## 18.4 Operations on values

### 18.4.1 Kind tests

- `Is_long(`v`)` is true if value v is an immediate integer, false otherwise
- `Is_block(`v`)` is true if value v is a pointer to a block, and false if it is an immediate integer.

### 18.4.2 Operations on integers

- `Val_long(`l`)` returns the value encoding the `long int` l.
- `Long_val(`v`)` returns the `long int` encoded in value v.
- `Val_int(`i`)` returns the value encoding the `int` i.
- `Int_val(`v`)` returns the `int` encoded in value v.
- `Val_bool(`x`)` returns the Caml boolean representing the truth value of the C integer x.
- `Bool_val(`v`)` returns 0 if v is the Caml boolean `false`, 1 if v is `true`.
- `Val_true`, `Val_false` represent the Caml booleans `true` and `false`.

### 18.4.3 Accessing blocks

- `Wosize_val(`v`)` returns the size of the block v, in words, excluding the header.
- `Tag_val(`v`)` returns the tag of the block v.
- `Field(`v`,` n`)` returns the value contained in the n th field of the structured block v. Fields are numbered from 0 to `Wosize_val`(v)−1.
- `Store_field(`b`,` n`,` v`)` stores the value v in the field number n of value b, which must be a structured block.
- `Code_val(`v`)` returns the code part of the closure v.
- `caml_string_length(`v`)` returns the length (number of characters) of the string v.
- `Byte(`v`,` n`)` returns the n th character of the string v, with type `char`. Characters are numbered from 0 to `string_length`(v)−1.
- `Byte_u(`v`,` n`)` returns the n th character of the string v, with type `unsigned char`. Characters are numbered from 0 to `string_length`(v)−1.
- `String_val(`v`)` returns a pointer to the first byte of the string v, with type `char *`. This pointer is a valid C string: there is a null character after the last character in the string. However, Caml strings can contain embedded null characters, that will confuse the usual C functions over strings.
- `Double_val(`v`)` returns the floating-point number contained in value v, with type `double`.
- `Double_field(`v`,` n`)` returns the n th element of the array of floating-point numbers v (a block tagged `Double_array_tag`).
- `Store_double_field(`v`,` n`,` d`)` stores the double precision floating-point number d in the n th element of the array of floating-point numbers v.
- `Data_custom_val(`v`)` returns a pointer to the data part of the custom block v. This pointer has type `void *` and must be cast to the type of the data contained in the custom block.
- `Int32_val(`v`)` returns the 32-bit integer contained in the `int32` v.
- `Int64_val(`v`)` returns the 64-bit integer contained in the `int64` v.
- `Nativeint_val(`v`)` returns the long integer contained in the `nativeint` v.

The expressions `Field(`v`,` n`)`, `Byte(`v`,` n`)` and `Byte_u(`v`,` n`)` are valid l-values. Hence, they can be assigned to, resulting in an in-place modification of value v. Assigning directly to `Field(`v`,` n`)` must be done with care to avoid confusing the garbage collector (see below).

### 18.4.4 Allocating blocks

#### Simple interface

- `Atom(`t`)` returns an “atom” (zero-sized block) with tag t. Zero-sized blocks are preallocated outside of the heap. It is incorrect to try and allocate a zero-sized block using the functions below. For instance, `Atom(0)` represents the empty array.
- `caml_alloc(`n`,` t`)` returns a fresh block of size n with tag t. If t is less than `No_scan_tag`, then the fields of the block are initialized with a valid value in order to satisfy the GC constraints.
- `caml_alloc_tuple(`n`)` returns a fresh block of size n words, with tag 0.
- `caml_alloc_string(`n`)` returns a string value of length n characters. The string initially contains garbage.
- `caml_copy_string(`s`)` returns a string value containing a copy of the null-terminated C string s (a `char *`).
- `caml_copy_double(`d`)` returns a floating-point value initialized with the `double` d.
- `caml_copy_int32(`i`)`, `copy_int64(`i`)` and `caml_copy_nativeint(`i`)` return a value of Caml type `int32`, `int64` and `nativeint`, respectively, initialized with the integer i.
- `caml_alloc_array(`f`,` a`)` allocates an array of values, calling function f over each element of the input array a to transform it into a value. The array a is an array of pointers terminated by the null pointer. The function f receives each pointer as argument, and returns a value. The zero-tagged block returned by `alloc_array(`f`,` a`)` is filled with the values returned by the successive calls to f. (This function must not be used to build an array of floating-point numbers.)
- `caml_copy_string_array(`p`)` allocates an array of strings, copied from the pointer to a string array p (a `char **`). p must be NULL-terminated.

#### Low-level interface

The following functions are slightly more efficient than `caml_alloc`, but also much more difficult to use.

From the standpoint of the allocation functions, blocks are divided according to their size as zero-sized blocks, small blocks (with size less than or equal to `Max_young_wosize`), and large blocks (with size greater than `Max_young_wosize`). The constant `Max_young_wosize` is declared in the include file `mlvalues.h`. It is guaranteed to be at least 64 (words), so that any block with constant size less than or equal to 64 can be assumed to be small. For blocks whose size is computed at run-time, the size must be compared against `Max_young_wosize` to determine the correct allocation procedure.

- `caml_alloc_small(`n`,` t`)` returns a fresh small block of size n ≤ `Max_young_wosize` words, with tag t. If this block is a structured block (i.e. if t < `No_scan_tag`), then the fields of the block (initially containing garbage) must be initialized with legal values (using direct assignment to the fields of the block) before the next allocation.
- `caml_alloc_shr(`n`,` t`)` returns a fresh block of size n, with tag t. The size of the block can be greater than `Max_young_wosize`. (It can also be smaller, but in this case it is more efficient to call `caml_alloc_small` instead of `caml_alloc_shr`.) If this block is a structured block (i.e. if t < `No_scan_tag`), then the fields of the block (initially containing garbage) must be initialized with legal values (using the `initialize` function described below) before the next allocation.

### 18.4.5 Raising exceptions

Two functions are provided to raise two standard exceptions:

- `caml_failwith(`s`)`, where s is a null-terminated C string (with type `char *`), raises exception `Failure` with argument s.
- `caml_invalid_argument(`s`)`, where s is a null-terminated C string (with type `char *`), raises exception `Invalid_argument` with argument s.

Raising arbitrary exceptions from C is more delicate: the exception identifier is dynamically allocated by the Caml program, and therefore must be communicated to the C function using the registration facility described below in section 18.7.3. Once the exception identifier is recovered in C, the following functions actually raise the exception:

- `caml_raise_constant(`id`)` raises the exception id with no argument;
- `caml_raise_with_arg(`id`,` v`)` raises the exception id with the Caml value v as argument;
- `caml_raise_with_args(`id`,` n`,` v`)` raises the exception id with the Caml values v`[0]`, …, v`[`n`-1]` as arguments;
- `caml_raise_with_string(`id`,` s`)`, where s is a null-terminated C string, raises the exception id with a copy of the C string s as argument.

## 18.5 Living in harmony with the garbage collector

Unused blocks in the heap are automatically reclaimed by the garbage collector. This requires some cooperation from C code that manipulates heap-allocated blocks.

### 18.5.1 Simple interface

All the macros described in this section are declared in the `memory.h` header file.

Rule 1 A function that has parameters or local variables of type `value` must begin with a call to one of the `CAMLparam` macros and return with `CAMLreturn`, `CAMLreturn0`, or `CAMLreturnT`.

There are six `CAMLparam` macros: `CAMLparam0` to `CAMLparam5`, which take zero to five arguments respectively. If your function has fewer than 5 parameters of type `value`, use the corresponding macros with these parameters as arguments. If your function has more than 5 parameters of type `value`, use `CAMLparam5` with five of these parameters, and use one or more calls to the `CAMLxparam` macros for the remaining parameters (`CAMLxparam1` to `CAMLxparam5`).

The macros `CAMLreturn`, `CAMLreturn0`, and `CAMLreturnT` are used to replace the C keyword `return`. Every occurence of `return x` must be replaced by `CAMLreturn (x)` if `x` has type `value`, or `CAMLreturnT (t, x)` (where `t` is the type of `x`); every occurence of `return` without argument must be replaced by `CAMLreturn0`. If your C function is a procedure (i.e. if it returns void), you must insert `CAMLreturn0` at the end (to replace C's implicit `return`).

##### Note:

some C compilers give bogus warnings about unused variables `caml__dummy_xxx` at each use of `CAMLparam` and `CAMLlocal`. You should ignore them.

Example:

    void foo (value v1, value v2, value v3)
    {
      CAMLparam3 (v1, v2, v3);
      ...
      CAMLreturn0;
    }

##### Note:

if your function is a primitive with more than 5 arguments for use with the byte-code runtime, its arguments are not `value`s and must not be declared (they have types `value *` and `int`).

Rule 2 Local variables of type `value` must be declared with one of the `CAMLlocal` macros. Arrays of `value`s are declared with `CAMLlocalN`. These macros must be used at the beginning of the function, not in a nested block.

The macros `CAMLlocal1` to `CAMLlocal5` declare and initialize one to five local variables of type `value`. The variable names are given as arguments to the macros. `CAMLlocalN(`x`,` n`)` declares and initializes a local variable of type `value [`n`]`. You can use several calls to these macros if you have more than 5 local variables.

Example:

    value bar (value v1, value v2, value v3)
    {
      CAMLparam3 (v1, v2, v3);
      CAMLlocal1 (result);
      result = caml_alloc (3, 0);
      ...
      CAMLreturn (result);
    }

Rule 3 Assignments to the fields of structured blocks must be done with the `Store_field` macro (for normal blocks) or `Store_double_field` macro (for arrays and records of floating-point numbers). Other assignments must not use `Store_field` nor `Store_double_field`.

`Store_field (`b`,` n`,` v`)` stores the value v in the field number n of value b, which must be a block (i.e. `Is_block(`b`)` must be true).

Example:

    value bar (value v1, value v2, value v3)
    {
      CAMLparam3 (v1, v2, v3);
      CAMLlocal1 (result);
      result = caml_alloc (3, 0);
      Store_field (result, 0, v1);
      Store_field (result, 1, v2);
      Store_field (result, 2, v3);
      CAMLreturn (result);
    }

##### Warning:

The first argument of `Store_field` and `Store_double_field` must be a variable declared by `CAMLparam*` or a parameter declared by `CAMLlocal*` to ensure that a garbage collection triggered by the evaluation of the other arguments will not invalidate the first argument after it is computed.

Rule 4 Global variables containing values must be registered with the garbage collector using the `caml_register_global_root` function.

Registration of a global variable `v` is achieved by calling `caml_register_global_root(&v)` just before a valid value is stored in `v` for the first time.

A registered global variable `v` can be un-registered by calling `caml_remove_global_root(&v)`.

If the contents of the global variable `v` are not modified after registration, better performance can be achieved by calling `caml_register_generational_global_root(&v)` to register `v`, and `caml_remove_generational_global_root(&v)` to un-register it. The garbage collector takes advantage of the guarantee that `v` is not modified to scan it less often. This improves performance if many global variables need to be registered.

##### Note:

The `CAML` macros use identifiers (local variables, type identifiers, structure tags) that start with `caml__`. Do not use any identifier starting with `caml__` in your programs.

### 18.5.2 Low-level interface

We now give the GC rules corresponding to the low-level allocation functions `caml_alloc_small` and `caml_alloc_shr`. You can ignore those rules if you stick to the simplified allocation function `caml_alloc`.

Rule 5 After a structured block (a block with tag less than `No_scan_tag`) is allocated with the low-level functions, all fields of this block must be filled with well-formed values before the next allocation operation. If the block has been allocated with `caml_alloc_small`, filling is performed by direct assignment to the fields of the block:

            Field(v, n) = vn;

If the block has been allocated with `caml_alloc_shr`, filling is performed through the `caml_initialize` function:

            caml_initialize(&Field(v, n), vn);

The next allocation can trigger a garbage collection. The garbage collector assumes that all structured blocks contain well-formed values. Newly created blocks contain random data, which generally do not represent well-formed values.

If you really need to allocate before the fields can receive their final value, first initialize with a constant value (e.g. `Val_unit`), then allocate, then modify the fields with the correct value (see rule 6).

Rule 6 Direct assignment to a field of a block, as in

            Field(v, n) = w;

is safe only if v is a block newly allocated by `caml_alloc_small`; that is, if no allocation took place between the allocation of v and the assignment to the field. In all other cases, never assign directly. If the block has just been allocated by `caml_alloc_shr`, use `caml_initialize` to assign a value to a field for the first time:

            caml_initialize(&Field(v, n), w);

Otherwise, you are updating a field that previously contained a well-formed value; then, call the `caml_modify` function:

            caml_modify(&Field(v, n), w);

To illustrate the rules above, here is a C function that builds and returns a list containing the two integers given as parameters. First, we write it using the simplified allocation functions:

    value alloc_list_int(int i1, int i2)
    {
      CAMLparam0 ();
      CAMLlocal2 (result, r);

      r = caml_alloc(2, 0);                   /* Allocate a cons cell */
      Store_field(r, 0, Val_int(i2));         /* car = the integer i2 */
      Store_field(r, 1, Val_int(0));          /* cdr = the empty list [] */
      result = caml_alloc(2, 0);              /* Allocate the other cons cell */
      Store_field(result, 0, Val_int(i1));    /* car = the integer i1 */
      Store_field(result, 1, r);              /* cdr = the first cons cell */
      CAMLreturn (result);
    }

Here, the registering of `result` is not strictly needed, because no allocation takes place after it gets its value, but it's easier and safer to simply register all the local variables that have type `value`.

Here is the same function written using the low-level allocation functions. We notice that the cons cells are small blocks and can be allocated with `caml_alloc_small`, and filled by direct assignments on their fields.

    value alloc_list_int(int i1, int i2)
    {
      CAMLparam0 ();
      CAMLlocal2 (result, r);

      r = caml_alloc_small(2, 0);                  /* Allocate a cons cell */
      Field(r, 0) = Val_int(i2);              /* car = the integer i2 */
      Field(r, 1) = Val_int(0);               /* cdr = the empty list [] */
      result = caml_alloc_small(2, 0);        /* Allocate the other cons cell */
      Field(result, 0) = Val_int(i1);         /* car = the integer i1 */
      Field(result, 1) = r;                   /* cdr = the first cons cell */
      CAMLreturn (result);
    }

In the two examples above, the list is built bottom-up. Here is an alternate way, that proceeds top-down. It is less efficient, but illustrates the use of `modify`.

    value alloc_list_int(int i1, int i2)
    {
      CAMLparam0 ();
      CAMLlocal2 (tail, r);

      r = caml_alloc_small(2, 0);             /* Allocate a cons cell */
      Field(r, 0) = Val_int(i1);              /* car = the integer i1 */
      Field(r, 1) = Val_int(0);               /* A dummy value
      tail = caml_alloc_small(2, 0);          /* Allocate the other cons cell */
      Field(tail, 0) = Val_int(i2);           /* car = the integer i2 */
      Field(tail, 1) = Val_int(0);            /* cdr = the empty list [] */
      caml_modify(&Field(r, 1), tail);        /* cdr of the result = tail */
      CAMLreturn (r);
    }

It would be incorrect to perform `Field(r, 1) = tail` directly, because the allocation of `tail` has taken place since `r` was allocated.

## 18.6 A complete example

This section outlines how the functions from the Unix `curses` library can be made available to Objective Caml programs. First of all, here is the interface `curses.mli` that declares the `curses` primitives and data types:

    type window                   (* The type "window" remains abstract *)
    external initscr: unit -> window = "curses_initscr"
    external endwin: unit -> unit = "curses_endwin"
    external refresh: unit -> unit = "curses_refresh"
    external wrefresh : window -> unit = "curses_wrefresh"
    external newwin: int -> int -> int -> int -> window = "curses_newwin"
    external addch: char -> unit = "curses_addch"
    external mvwaddch: window -> int -> int -> char -> unit = "curses_mvwaddch"
    external addstr: string -> unit = "curses_addstr"
    external mvwaddstr: window -> int -> int -> string -> unit = "curses_mvwaddstr"
    (* lots more omitted *)

To compile this interface:

            ocamlc -c curses.mli

To implement these functions, we just have to provide the stub code; the core functions are already implemented in the `curses` library. The stub code file, `curses_stubs.c`, looks like this:

    #include <curses.h>
    #include <caml/mlvalues.h>
    #include <caml/memory.h>
    #include <caml/alloc.h>
    #include <caml/custom.h>

    /* Encapsulation of opaque window handles (of type WINDOW *)
       as Caml custom blocks. */

    static struct custom_operations curses_window_ops = {
      "fr.inria.caml.curses_windows",
      custom_finalize_default,
      custom_compare_default,
      custom_hash_default,
      custom_serialize_default,
      custom_deserialize_default
    };

    /* Accessing the WINDOW * part of a Caml custom block */
    #define Window_val(v) (*((WINDOW **) Data_custom_val(v)))

    /* Allocating a Caml custom block to hold the given WINDOW * */
    static value alloc_window(WINDOW * w)
    {
      value v = alloc_custom(&curses_window_ops, sizeof(WINDOW *), 0, 1);
      Window_val(v) = w;
      return v;
    }

    value caml_curses_initscr(value unit)
    {
      CAMLparam1 (unit);
      CAMLreturn (alloc_window(initscr()));
    }

    value caml_curses_endwin(value unit)
    {
      CAMLparam1 (unit);
      endwin();
      CAMLreturn (Val_unit);
    }

    value caml_curses_refresh(value unit)
    {
      CAMLparam1 (unit);
      refresh();
      CAMLreturn (Val_unit);
    }

    value caml_curses_wrefresh(value win)
    {
      CAMLparam1 (win);
      wrefresh(Window_val(win));
      CAMLreturn (Val_unit);
    }

    value caml_curses_newwin(value nlines, value ncols, value x0, value y0)
    {
      CAMLparam4 (nlines, ncols, x0, y0);
      CAMLreturn (alloc_window(newwin(Int_val(nlines), Int_val(ncols),
                                      Int_val(x0), Int_val(y0))));
    }

    value caml_curses_addch(value c)
    {
      CAMLparam1 (c);
      addch(Int_val(c));            /* Characters are encoded like integers */
      CAMLreturn (Val_unit);
    }

    value caml_curses_mvwaddch(value win, value x, value y, value c)
    {
      CAMLparam4 (win, x, y, c);
      mvwaddch(Window_val(win), Int_val(x), Int_val(y), Int_val(c));
      CAMLreturn (Val_unit);
    }

    value caml_curses_addstr(value s)
    {
      CAMLparam1 (s);
      addstr(String_val(s));
      CAMLreturn (Val_unit);
    }

    value caml_curses_mvwaddstr(value win, value x, value y, value s)
    {
      CAMLparam4 (win, x, y, s);
      mvwaddstr(Window_val(win), Int_val(x), Int_val(y), String_val(s));
      CAMLreturn (Val_unit);
    }

    /* This goes on for pages. */

The file `curses_stubs.c` can be compiled with:

            cc -c -I/usr/local/lib/ocaml curses.c

or, even simpler,

            ocamlc -c curses.c

(When passed a `.c` file, the `ocamlc` command simply calls the C compiler on that file, with the right `-I` option.)

Now, here is a sample Caml program `test.ml` that uses the `curses` module:

    open Curses
    let main_window = initscr () in
    let small_window = newwin 10 5 20 10 in
      mvwaddstr main_window 10 2 "Hello";
      mvwaddstr small_window 4 3 "world";
      refresh();
      Unix.sleep 5;
      endwin()

To compile and link this program, run:

            ocamlc -custom -o test unix.cma test.ml curses_stubs.o -cclib -lcurses

(On some machines, you may need to put `-cclib -ltermcap` or `-cclib -lcurses -cclib -ltermcap` instead of `-cclib -lcurses`.)

## 18.7 Advanced topic: callbacks from C to Caml

So far, we have described how to call C functions from Caml. In this section, we show how C functions can call Caml functions, either as callbacks (Caml calls C which calls Caml), or because the main program is written in C.

### 18.7.1 Applying Caml closures from C

C functions can apply Caml functional values (closures) to Caml values. The following functions are provided to perform the applications:

- `caml_callback(`f, a`)` applies the functional value f to the value a and return the value returned by f.
- `caml_callback2(`f, a, b`)` applies the functional value f (which is assumed to be a curried Caml function with two arguments) to a and b.
- `caml_callback3(`f, a, b, c`)` applies the functional value f (a curried Caml function with three arguments) to a, b and c.
- `caml_callbackN(`f, n, args`)` applies the functional value f to the n arguments contained in the array of values args.

If the function f does not return, but raises an exception that escapes the scope of the application, then this exception is propagated to the next enclosing Caml code, skipping over the C code. That is, if a Caml function f calls a C function g that calls back a Caml function h that raises a stray exception, then the execution of g is interrupted and the exception is propagated back into f.

If the C code wishes to catch exceptions escaping the Caml function, it can use the functions `caml_callback_exn`, `caml_callback2_exn`, `caml_callback3_exn`, `caml_callbackN_exn`. These functions take the same arguments as their non-`_exn` counterparts, but catch escaping exceptions and return them to the C code. The return value v of the `caml_callback*_exn` functions must be tested with the macro `Is_exception_result(`v`)`. If the macro returns “false”, no exception occured, and v is the value returned by the Caml function. If `Is_exception_result(`v`)` returns “true”, an exception escaped, and its value (the exception descriptor) can be recovered using `Extract_exception(`v`)`.

### 18.7.2 Registering Caml closures for use in C functions

The main difficulty with the `callback` functions described above is obtaining a closure to the Caml function to be called. For this purpose, Objective Caml provides a simple registration mechanism, by which Caml code can register Caml functions under some global name, and then C code can retrieve the corresponding closure by this global name.

On the Caml side, registration is performed by evaluating `Callback.register` n v. Here, n is the global name (an arbitrary string) and v the Caml value. For instance:

        let f x = print_string "f is applied to "; print_int n; print_newline()
        let _ = Callback.register "test function" f

On the C side, a pointer to the value registered under name n is obtained by calling `caml_named_value(`n`)`. The returned pointer must then be dereferenced to recover the actual Caml value. If no value is registered under the name n, the null pointer is returned. For example, here is a C wrapper that calls the Caml function `f` above:

        void call_caml_f(int arg)
        {
            caml_callback(*caml_named_value("test function"), Val_int(arg));
        }

The pointer returned by `caml_named_value` is constant and can safely be cached in a C variable to avoid repeated name lookups. On the other hand, the value pointed to can change during garbage collection and must always be recomputed at the point of use. Here is a more efficient variant of `call_caml_f` above that calls `caml_named_value` only once:

        void call_caml_f(int arg)
        {
            static value * closure_f = NULL;
            if (closure_f == NULL) {
                /* First time around, look up by name */
                closure_f = caml_named_value("test function");
            }
            caml_callback(*closure_f, Val_int(arg));
        }

### 18.7.3 Registering Caml exceptions for use in C functions

The registration mechanism described above can also be used to communicate exception identifiers from Caml to C. The Caml code registers the exception by evaluating `Callback.register_exception` n exn, where n is an arbitrary name and exn is an exception value of the exception to register. For example:

        exception Error of string
        let _ = Callback.register_exception "test exception" (Error "any string")

The C code can then recover the exception identifier using `caml_named_value` and pass it as first argument to the functions `raise_constant`, `raise_with_arg`, and `raise_with_string` (described in section 18.4.5) to actually raise the exception. For example, here is a C function that raises the `Error` exception with the given argument:

        void raise_error(char * msg)
        {
            caml_raise_with_string(*caml_named_value("test exception"), msg);
        }

### 18.7.4 Main program in C

In normal operation, a mixed Caml/C program starts by executing the Caml initialization code, which then may proceed to call C functions. We say that the main program is the Caml code. In some applications, it is desirable that the C code plays the role of the main program, calling Caml functions when needed. This can be achieved as follows:

- The C part of the program must provide a `main` function, which will override the default `main` function provided by the Caml runtime system. Execution will start in the user-defined `main` function just like for a regular C program.
- At some point, the C code must call `caml_main(argv)` to initialize the Caml code. The `argv` argument is a C array of strings (type `char **`), terminated with a `NULL` pointer, which represents the command-line arguments, as passed as second argument to `main`. The Caml array `Sys.argv` will be initialized from this parameter. For the bytecode compiler, `argv[0]` and `argv[1]` are also consulted to find the file containing the bytecode.
- The call to `caml_main` initializes the Caml runtime system, loads the bytecode (in the case of the bytecode compiler), and executes the initialization code of the Caml program. Typically, this initialization code registers callback functions using `Callback.register`. Once the Caml initialization code is complete, control returns to the C code that called `caml_main`.
- The C code can then invoke Caml functions using the callback mechanism (see section 18.7.1).

### 18.7.5 Embedding the Caml code in the C code

The bytecode compiler in custom runtime mode (`ocamlc -custom`) normally appends the bytecode to the executable file containing the custom runtime. This has two consequences. First, the final linking step must be performed by `ocamlc`. Second, the Caml runtime library must be able to find the name of the executable file from the command-line arguments. When using `caml_main(argv)` as in section 18.7.4, this means that `argv[0]` or `argv[1]` must contain the executable file name.

An alternative is to embed the bytecode in the C code. The `-output-obj` option to `ocamlc` is provided for this purpose. It causes the `ocamlc` compiler to output a C object file (`.o` file, `.obj` under Windows) containing the bytecode for the Caml part of the program, as well as a `caml_startup` function. The C object file produced by `ocamlc -output-obj` can then be linked with C code using the standard C compiler, or stored in a C library.

The `caml_startup` function must be called from the main C program in order to initialize the Caml runtime and execute the Caml initialization code. Just like `caml_main`, it takes one `argv` parameter containing the command-line parameters. Unlike `caml_main`, this `argv` parameter is used only to initialize `Sys.argv`, but not for finding the name of the executable file.

The `-output-obj` option can also be used to obtain the C source file. More interestingly, the same option can also produce directly a shared library (`.so` file, `.dll` under Windows) that contains the Caml code, the Caml runtime system and any other static C code given to `ocamlc` (`.o`, `.a`, respectively, `.obj`, `.lib`). This use of `-output-obj` is very similar to a normal linking step, but instead of producing a main program that automatically runs the Caml code, it produces a shared library that can run the Caml code on demand. The three possible behaviors of `-output-obj` are selected according to the extension of the resulting file (given with `-o`).

The native-code compiler `ocamlopt` also supports the `-output-obj` option, causing it to output a C object file or a shared library containing the native code for all Caml modules on the command-line, as well as the Caml startup code. Initialization is performed by calling `caml_startup` as in the case of the bytecode compiler.

For the final linking phase, in addition to the object file produced by `-output-obj`, you will have to provide the Objective Caml runtime library (`libcamlrun.a` for bytecode, `libasmrun.a` for native-code), as well as all C libraries that are required by the Caml libraries used. For instance, assume the Caml part of your program uses the Unix library. With `ocamlc`, you should do:

            ocamlc -output-obj -o camlcode.o unix.cma other .cmo and .cma files
            cc -o myprog C objects and libraries \
               camlcode.o -L/usr/local/lib/ocaml -lunix -lcamlrun

With `ocamlopt`, you should do:

            ocamlopt -output-obj -o camlcode.o unix.cmxa other .cmx and .cmxa files
            cc -o myprog C objects and libraries \
               camlcode.o -L/usr/local/lib/ocaml -lunix -lasmrun

The shared libraries produced by `ocamlc -output-obj` or by `ocamlopt -output-obj` already contains the Objective Caml runtime library as well as all the needed C libraries.

##### Warning:

On some ports, special options are required on the final linking phase that links together the object file produced by the `-output-obj` option and the remainder of the program. Those options are shown in the configuration file `config/Makefile` generated during compilation of Objective Caml, as the variables `BYTECCLINKOPTS` (for object files produced by `ocamlc -output-obj`) and `NATIVECCLINKOPTS` (for object files produced by `ocamlopt -output-obj`). Currently, the only ports that require special attention are:

- Alpha under Digital Unix / Tru64 Unix with `gcc`: object files produced by `ocamlc -output-obj` must be linked with the `gcc` options `-Wl,-T,12000000 -Wl,-D,14000000`. This is not necessary for object files produced by `ocamlopt -output-obj`.
- Windows NT: the object file produced by Objective Caml have been compiled with the `/MD` flag, and therefore all other object files linked with it should also be compiled with `/MD`.

## 18.8 Advanced example with callbacks

This section illustrates the callback facilities described in section 18.7. We are going to package some Caml functions in such a way that they can be linked with C code and called from C just like any C functions. The Caml functions are defined in the following `mod.ml` Caml source:

    (* File mod.ml -- some ``useful'' Caml functions *)

    let rec fib n = if n < 2 then 1 else fib(n-1) + fib(n-2)

    let format_result n = Printf.sprintf "Result is: %d\n" n

    (* Export those two functions to C *)

    let _ = Callback.register "fib" fib
    let _ = Callback.register "format_result" format_result

Here is the C stub code for calling these functions from C:

    /* File modwrap.c -- wrappers around the Caml functions */

    #include <stdio.h>
    #include <string.h>
    #include <caml/mlvalues.h>
    #include <caml/callback.h>

    int fib(int n)
    {
      static value * fib_closure = NULL;
      if (fib_closure == NULL) fib_closure = caml_named_value("fib");
      return Int_val(caml_callback(*fib_closure, Val_int(n)));
    }

    char * format_result(int n)
    {
      static value * format_result_closure = NULL;
      if (format_result_closure == NULL)
        format_result_closure = caml_named_value("format_result");
      return strdup(String_val(caml_callback(*format_result_closure, Val_int(n))));
      /* We copy the C string returned by String_val to the C heap
         so that it remains valid after garbage collection. */
    }

We now compile the Caml code to a C object file and put it in a C library along with the stub code in `modwrap.c` and the Caml runtime system:

            ocamlc -custom -output-obj -o modcaml.o mod.ml
            ocamlc -c modwrap.c
            cp /usr/local/lib/ocaml/libcamlrun.a mod.a
            ar r mod.a modcaml.o modwrap.o

(One can also use `ocamlopt -output-obj` instead of `ocamlc -custom -output-obj`. In this case, replace `libcamlrun.a` (the bytecode runtime library) by `libasmrun.a` (the native-code runtime library).)

Now, we can use the two functions `fib` and `format_result` in any C program, just like regular C functions. Just remember to call `caml_startup` once before.

    /* File main.c -- a sample client for the Caml functions */

    #include <stdio.h>

    int main(int argc, char ** argv)
    {
      int result;

      /* Initialize Caml code */
      caml_startup(argv);
      /* Do some computation */
      result = fib(10);
      printf("fib(10) = %s\n", format_result(result));
      return 0;
    }

To build the whole program, just invoke the C compiler as follows:

            cc -o prog main.c mod.a -lcurses

(On some machines, you may need to put `-ltermcap` or `-lcurses -ltermcap` instead of `-lcurses`.)

## 18.9 Advanced topic: custom blocks

Blocks with tag `Custom_tag` contain both arbitrary user data and a pointer to a C struct, with type `struct custom_operations`, that associates user-provided finalization, comparison, hashing, serialization and deserialization functions to this block.

### 18.9.1 The `struct custom_operations`

The `struct custom_operations` is defined in `<caml/custom.h>` and contains the following fields:

- `char *identifier`
  A zero-terminated character string serving as an identifier for serialization and deserialization operations.
- `void (*finalize)(value v)`
  The `finalize` field contains a pointer to a C function that is called when the block becomes unreachable and is about to be reclaimed. The block is passed as first argument to the function. The `finalize` field can also be `custom_finalize_default` to indicate that no finalization function is associated with the block.
- `int (*compare)(value v1, value v2)`
  The `compare` field contains a pointer to a C function that is called whenever two custom blocks are compared using Caml's generic comparison operators (`=`, `<>`, `<=`, `>=`, `<`, `>` and `compare`). The C function should return 0 if the data contained in the two blocks are structurally equal, a negative integer if the data from the first block is less than the data from the second block, and a positive integer if the data from the first block is greater than the data from the second block.

  The `compare` field can be set to `custom_compare_default`; this default comparison function simply raises `Failure`.

- `long (*hash)(value v)`
  The `hash` field contains a pointer to a C function that is called whenever Caml's generic hash operator (see module `Hashtbl`) is applied to a custom block. The C function can return an arbitrary long integer representing the hash value of the data contained in the given custom block. The hash value must be compatible with the `compare` function, in the sense that two structurally equal data (that is, two custom blocks for which `compare` returns 0) must have the same hash value.

  The `hash` field can be set to `custom_hash_default`, in which case the custom block is ignored during hash computation.

- `void (*serialize)(value v, unsigned long * wsize_32, unsigned long * wsize_64)`
  The `serialize` field contains a pointer to a C function that is called whenever the custom block needs to be serialized (marshaled) using the Caml functions `output_value` or `Marshal.to_...`. For a custom block, those functions first write the identifier of the block (as given by the `identifier` field) to the output stream, then call the user-provided `serialize` function. That function is responsible for writing the data contained in the custom block, using the `serialize_...` functions defined in `<caml/intext.h>` and listed below. The user-provided `serialize` function must then store in its `wsize_32` and `wsize_64` parameters the sizes in bytes of the data part of the custom block on a 32-bit architecture and on a 64-bit architecture, respectively.

  The `serialize` field can be set to `custom_serialize_default`, in which case the `Failure` exception is raised when attempting to serialize the custom block.

- `unsigned long (*deserialize)(void * dst)`
  The `deserialize` field contains a pointer to a C function that is called whenever a custom block with identifier `identifier` needs to be deserialized (un-marshaled) using the Caml functions `input_value` or `Marshal.from_...`. This user-provided function is responsible for reading back the data written by the `serialize` operation, using the `deserialize_...` functions defined in `<caml/intext.h>` and listed below. It must then rebuild the data part of the custom block and store it at the pointer given as the `dst` argument. Finally, it returns the size in bytes of the data part of the custom block. This size must be identical to the `wsize_32` result of the `serialize` operation if the architecture is 32 bits, or `wsize_64` if the architecture is 64 bits.

  The `deserialize` field can be set to `custom_deserialize_default` to indicate that deserialization is not supported. In this case, do not register the `struct custom_operations` with the deserializer using `register_custom_operations` (see below).

Note: the `finalize`, `compare`, `hash`, `serialize` and `deserialize` functions attached to custom block descriptors must never trigger a garbage collection. Within these functions, do not call any of the Caml allocation functions, and do not perform a callback into Caml code. Do not use `CAMLparam` to register the parameters to these functions, and do not use `CAMLreturn` to return the result.

### 18.9.2 Allocating custom blocks

Custom blocks must be allocated via the `caml_alloc_custom` function. `caml_alloc_custom(`ops`,` size`,` used`,` max`)` returns a fresh custom block, with room for size bytes of user data, and whose associated operations are given by ops (a pointer to a `struct custom_operations`, usually statically allocated as a C global variable).

The two parameters used and max are used to control the speed of garbage collection when the finalized object contains pointers to out-of-heap resources. Generally speaking, the Caml incremental major collector adjusts its speed relative to the allocation rate of the program. The faster the program allocates, the harder the GC works in order to reclaim quickly unreachable blocks and avoid having large amount of “floating garbage” (unreferenced objects that the GC has not yet collected).

Normally, the allocation rate is measured by counting the in-heap size of allocated blocks. However, it often happens that finalized objects contain pointers to out-of-heap memory blocks and other resources (such as file descriptors, X Windows bitmaps, etc.). For those blocks, the in-heap size of blocks is not a good measure of the quantity of resources allocated by the program.

The two arguments used and max give the GC an idea of how much out-of-heap resources are consumed by the finalized block being allocated: you give the amount of resources allocated to this object as parameter used, and the maximum amount that you want to see in floating garbage as parameter max. The units are arbitrary: the GC cares only about the ratio used / max.

For instance, if you are allocating a finalized block holding an X Windows bitmap of w by h pixels, and you'd rather not have more than 1 mega-pixels of unreclaimed bitmaps, specify used = w * h and max = 1000000.

Another way to describe the effect of the used and max parameters is in terms of full GC cycles. If you allocate many custom blocks with used / max = 1 / N, the GC will then do one full cycle (examining every object in the heap and calling finalization functions on those that are unreachable) every N allocations. For instance, if used = 1 and max = 1000, the GC will do one full cycle at least every 1000 allocations of custom blocks.

If your finalized blocks contain no pointers to out-of-heap resources, or if the previous discussion made little sense to you, just take used = 0 and max = 1. But if you later find that the finalization functions are not called “often enough”, consider increasing the used / max ratio.

### 18.9.3 Accessing custom blocks

The data part of a custom block v can be accessed via the pointer `Data_custom_val(`v`)`. This pointer has type `void *` and should be cast to the actual type of the data stored in the custom block.

The contents of custom blocks are not scanned by the garbage collector, and must therefore not contain any pointer inside the Caml heap. In other terms, never store a Caml `value` in a custom block, and do not use `Field`, `Store_field` nor `modify` to access the data part of a custom block. Conversely, any C data structure (not containing heap pointers) can be stored in a custom block.

### 18.9.4 Writing custom serialization and deserialization functions

The following functions, defined in `<caml/intext.h>`, are provided to write and read back the contents of custom blocks in a portable way. Those functions handle endianness conversions when e.g. data is written on a little-endian machine and read back on a big-endian machine.

Function | Action
`caml_serialize_int_1` | Write a 1-byte integer
`caml_serialize_int_2` | Write a 2-byte integer
`caml_serialize_int_4` | Write a 4-byte integer
`caml_serialize_int_8` | Write a 8-byte integer
`caml_serialize_float_4` | Write a 4-byte float
`caml_serialize_float_8` | Write a 8-byte float
`caml_serialize_block_1` | Write an array of 1-byte quantities
`caml_serialize_block_2` | Write an array of 2-byte quantities
`caml_serialize_block_4` | Write an array of 4-byte quantities
`caml_serialize_block_8` | Write an array of 8-byte quantities
`caml_deserialize_uint_1` | Read an unsigned 1-byte integer
`caml_deserialize_sint_1` | Read a signed 1-byte integer
`caml_deserialize_uint_2` | Read an unsigned 2-byte integer
`caml_deserialize_sint_2` | Read a signed 2-byte integer
`caml_deserialize_uint_4` | Read an unsigned 4-byte integer
`caml_deserialize_sint_4` | Read a signed 4-byte integer
`caml_deserialize_uint_8` | Read an unsigned 8-byte integer
`caml_deserialize_sint_8` | Read a signed 8-byte integer
`caml_deserialize_float_4` | Read a 4-byte float
`caml_deserialize_float_8` | Read an 8-byte float
`caml_deserialize_block_1` | Read an array of 1-byte quantities
`caml_deserialize_block_2` | Read an array of 2-byte quantities
`caml_deserialize_block_4` | Read an array of 4-byte quantities
`caml_deserialize_block_8` | Read an array of 8-byte quantities
`caml_deserialize_error` | Signal an error during deserialization; `input_value` or `Marshal.from_...` raise a `Failure` exception after cleaning up their internal data structures

Serialization functions are attached to the custom blocks to which they apply. Obviously, deserialization functions cannot be attached this way, since the custom block does not exist yet when deserialization begins! Thus, the `struct custom_operations` that contain deserialization functions must be registered with the deserializer in advance, using the `register_custom_operations` function declared in `<caml/custom.h>`. Deserialization proceeds by reading the identifier off the input stream, allocating a custom block of the size specified in the input stream, searching the registered `struct custom_operation` blocks for one with the same identifier, and calling its `deserialize` function to fill the data part of the custom block.

### 18.9.5 Choosing identifiers

Identifiers in `struct custom_operations` must be chosen carefully, since they must identify uniquely the data structure for serialization and deserialization operations. In particular, consider including a version number in the identifier; this way, the format of the data can be changed later, yet backward-compatible deserialisation functions can be provided.

Identifiers starting with `_` (an underscore character) are reserved for the Objective Caml runtime system; do not use them for your custom data. We recommend to use a URL (`http://mymachine.mydomain.com/mylibrary/version-number`) or a Java-style package name (`com.mydomain.mymachine.mylibrary.version-number`) as identifiers, to minimize the risk of identifier collision.

### 18.9.6 Finalized blocks

Custom blocks generalize the finalized blocks that were present in Objective Caml prior to version 3.00. For backward compatibility, the format of custom blocks is compatible with that of finalized blocks, and the `alloc_final` function is still available to allocate a custom block with a given finalization function, but default comparison, hashing and serialization functions. `caml_alloc_final(`n`,` f`,` used`,` max`)` returns a fresh custom block of size n words, with finalization function f. The first word is reserved for storing the custom operations; the other n-1 words are available for your data. The two parameters used and max are used to control the speed of garbage collection, as described for `caml_alloc_custom`.

## 18.10 Building mixed C/Caml libraries: `ocamlmklib`

The `ocamlmklib` command facilitates the construction of libraries containing both Caml code and C code, and usable both in static linking and dynamic linking modes.

> Windows: This command is available for all the Windows ports only since version 3.11.

The `ocamlmklib` command takes three kinds of arguments:

- Caml source files and object files (`.cmo`, `.cmx`, `.ml`) comprising the Caml part of the library;
- C object files (`.o`, `.a`, respectively, `.obj`, `.lib`) comprising the C part of the library;
- Support libraries for the C part (`-l` lib).

It generates the following outputs:

- A Caml bytecode library `.cma` incorporating the `.cmo` and `.ml` Caml files given as arguments, and automatically referencing the C library generated with the C object files.
- A Caml native-code library `.cmxa` incorporating the `.cmx` and `.ml` Caml files given as arguments, and automatically referencing the C library generated with the C object files.
- If dynamic linking is supported on the target platform, a `.so` (respectively, `.dll`) shared library built from the C object files given as arguments, and automatically referencing the support libraries.
- A C static library `.a`(respectively, `.lib`) built from the C object files.

In addition, the following options are recognized:

`-cclib`, `-ccopt`, `-I`, `-linkall`
  These options are passed as is to `ocamlc` or `ocamlopt`. See the documentation of these commands.
`-pthread`, `-rpath`, `-R`, `-Wl,-rpath`, `-Wl,-R`
  These options are passed as is to the C compiler. Refer to the documentation of the C compiler.
`-custom`
  Force the construction of a statically linked library only, even if dynamic linking is supported.
`-failsafe`
  Fall back to building a statically linked library if a problem occurs while building the shared library (e.g. some of the support libraries are not available as shared libraries).
`-L` dir
  Add dir to the search path for support libraries (`-l` lib).
`-ocamlc` cmd
  Use cmd instead of `ocamlc` to call the bytecode compiler.
`-ocamlopt` cmd
  Use cmd instead of `ocamlopt` to call the native-code compiler.
`-o` output
  Set the name of the generated Caml library. `ocamlmklib` will generate output`.cma` and/or output`.cmxa`. If not specified, defaults to `a`.
`-oc` outputc
  Set the name of the generated C library. `ocamlmklib` will generate `lib` outputc`.so` (if shared libraries are supported) and `lib` outputc`.a`. If not specified, defaults to the output name given with `-o`.

##### Example

Consider a Caml interface to the standard `libz` C library for reading and writing compressed files. Assume this library resides in `/usr/local/zlib`. This interface is composed of a Caml part `zip.cmo`/`zip.cmx` and a C part `zipstubs.o` containing the stub code around the `libz` entry points. The following command builds the Caml libraries `zip.cma` and `zip.cmxa`, as well as the companion C libraries `dllzip.so` and `libzip.a`:

    ocamlmklib -o zip zip.cmo zip.cmx zipstubs.o -lz -L/usr/local/zlib

If shared libraries are supported, this performs the following commands:

    ocamlc -a -o zip.cma zip.cmo -dllib -lzip \
            -cclib -lzip -cclib -lz -ccopt -L/usr/local/zlib
    ocamlopt -a -o zip.cmxa zip.cmx -cclib -lzip \
            -cclib -lzip -cclib -lz -ccopt -L/usr/local/zlib
    gcc -shared -o dllzip.so zipstubs.o -lz -L/usr/local/zlib
    ar rc libzip.a zipstubs.o

If shared libraries are not supported, the following commands are performed instead:

    ocamlc -a -custom -o zip.cma zip.cmo -cclib -lzip \
            -cclib -lz -ccopt -L/usr/local/zlib
    ocamlopt -a -o zip.cmxa zip.cmx -lzip \
            -cclib -lz -ccopt -L/usr/local/zlib
    ar rc libzip.a zipstubs.o

Instead of building simultaneously the bytecode library, the native-code library and the C libraries, `ocamlmklib` can be called three times to build each separately. Thus,

    ocamlmklib -o zip zip.cmo -lz -L/usr/local/zlib

builds the bytecode library `zip.cma`, and

    ocamlmklib -o zip zip.cmx -lz -L/usr/local/zlib

builds the native-code library `zip.cmxa`, and

    ocamlmklib -o zip zipstubs.o -lz -L/usr/local/zlib

builds the C libraries `dllzip.so` and `libzip.a`. Notice that the support libraries (`-lz`) and the corresponding options (`-L/usr/local/zlib`) must be given on all three invocations of `ocamlmklib`, because they are needed at different times depending on whether shared libraries are supported.