module Gc:sig..end
Memory management control and statistics; finalised values.
type |    | minor_words :  | (* | Number of words allocated in the minor heap since the program was started. | *) | 
|    | promoted_words :  | (* | Number of words allocated in the minor heap that survived a minor collection and were moved to the major heap since the program was started. | *) | 
|    | major_words :  | (* | Number of words allocated in the major heap, including the promoted words, since the program was started. | *) | 
|    | minor_collections :  | (* | Number of minor collections since the program was started. | *) | 
|    | major_collections :  | (* | Number of major collection cycles completed since the program was started. | *) | 
|    | heap_words :  | (* | Total size of the major heap, in words. | *) | 
|    | heap_chunks :  | (* | Number of contiguous pieces of memory that make up the major heap.
        This metric is currently not available in OCaml 5: the field value is
        always  | *) | 
|    | live_words :  | (* | Number of words of live data in the major heap, including the header words. Note that "live" words refers to every word in the major heap that isn't
       currently known to be collectable, which includes words that have become
       unreachable by the program after the start of the previous gc cycle.
       It is typically much simpler and more predictable to call
        | *) | 
|    | live_blocks :  | (* | Number of live blocks in the major heap. See  | *) | 
|    | free_words :  | (* | Number of words in the free list. | *) | 
|    | free_blocks :  | (* | Number of blocks in the free list.
        This metric is currently not available in OCaml 5: the field value is
        always  | *) | 
|    | largest_free :  | (* | Size (in words) of the largest block in the free list.
        This metric is currently not available in OCaml 5: the field value
        is always  | *) | 
|    | fragments :  | (* | Number of wasted words due to fragmentation. These are 1-words free blocks placed between two live blocks. They are not available for allocation. | *) | 
|    | compactions :  | (* | Number of heap compactions since the program was started. | *) | 
|    | top_heap_words :  | (* | Maximum size reached by the major heap, in words. | *) | 
|    | stack_size :  | (* | Current size of the stack, in words.
        This metric is currently not available in OCaml 5: the field value is
        always  
 | *) | 
|    | forced_major_collections :  | (* | Number of forced full major collections completed since the program was started. 
 | *) | 
}
The memory management counters are returned in a stat record. These
   counters give values for the whole program.
The total amount of memory allocated by the program since it was started
   is (in words) minor_words + major_words - promoted_words.  Multiply by
   the word size (4 on a 32-bit machine, 8 on a 64-bit machine) to get
   the number of bytes.
type |    | minor_heap_size :  | (* | The size (in words) of the minor heap. Changing this parameter will trigger a minor collection. The total size of the minor heap used by this program is the sum of the heap sizes of the active domains. Default: 256k. | *) | 
|    | major_heap_increment :  | (* | How much to add to the major heap when increasing it. If this number is less than or equal to 1000, it is a percentage of the current heap size (i.e. setting it to 100 will double the heap size at each increase). If it is more than 1000, it is a fixed number of words that will be added to the heap. This field is currently not available in OCaml 5: the field value is
        always  | *) | 
|    | space_overhead :  | (* | The major GC speed is computed from this parameter.
       This is the memory that will be "wasted" because the GC does not
       immediately collect unreachable blocks.  It is expressed as a
       percentage of the memory used for live data.
       The GC will work more (use more CPU time and collect
       blocks more eagerly) if  | *) | 
|    | verbose :  | (* | This value controls the GC messages on standard error output. It is a sum of some of the following flags, to print messages on the corresponding events: 
 | *) | 
|    | max_overhead :  | (* | Heap compaction is triggered when the estimated amount
       of "wasted" memory is more than  This field is currently not available in OCaml 5: the field value is
       always  | *) | 
|    | stack_limit :  | (* | The maximum size of the fiber stacks (in words). Default: 128M. | *) | 
|    | allocation_policy :  | (* | The policy used for allocating in the major heap. This field is currently not available in OCaml 5: the field value is
        always  Prior to OCaml 5.0, possible values were 0, 1 and 2. 
 
 
 
 | *) | 
|    | window_size :  | (* | The size of the window used by the major GC for smoothing out variations in its workload. This is an integer between 1 and 50. 
 | *) | 
|    | custom_major_ratio :  | (* | Target ratio of floating garbage to major heap size for
        out-of-heap memory held by custom values located in the major
        heap. The GC speed is adjusted to try to use this much memory
        for dead values that are not yet collected. Expressed as a
        percentage of major heap size. The default value keeps the
        out-of-heap floating garbage about the same size as the
        in-heap overhead.
        Note: this only applies to values allocated with
         
 | *) | 
|    | custom_minor_ratio :  | (* | Bound on floating garbage for out-of-heap memory held by
        custom values in the minor heap. A minor GC is triggered when
        this much memory is held by custom values located in the minor
        heap. Expressed as a percentage of minor heap size.
        Note: this only applies to values allocated with
         
 | *) | 
|    | custom_minor_max_size :  | (* | Maximum amount of out-of-heap memory for each custom value
        allocated in the minor heap. Custom values that hold more
        than this many bytes are allocated on the major heap.
        Note: this only applies to values allocated with
         
 | *) | 
}
The GC parameters are given as a control record.  Note that
    these parameters can also be initialised by setting the
    OCAMLRUNPARAM environment variable.  See the documentation of
    ocamlrun.
val stat : unit -> statReturn the current values of the memory management counters in a
    stat record that represents the program's total memory stats.
    The heap_chunks, free_blocks, largest_free, and stack_size metrics
    are currently not available in OCaml 5: their returned field values are
    therefore 0.
    This function causes a full major collection.
val quick_stat : unit -> statReturns a record with the current values of the memory management counters
    like stat. Unlike stat, quick_stat does not perform a full major
    collection, and hence, is much faster. However, quick_stat reports the
    counters sampled at the last minor collection or at the end of the last
    major collection cycle (whichever is the latest). Hence, the memory stats
    returned by quick_stat are not instantaneously accurate.
val counters : unit -> float * float * floatReturn (minor_words, promoted_words, major_words) for the current
    domain or potentially previous domains.  This function is as fast as
    quick_stat.
val minor_words : unit -> floatNumber of words allocated in the minor heap by this domain or potentially previous domains. This number is accurate in byte-code programs, but only an approximation in programs compiled to native code.
In native code this function does not allocate.
val get : unit -> controlReturn the current values of the GC parameters in a control record.
The major_heap_increment, max_overhead, allocation_policy, and
    window_size fields are currently not available in OCaml 5: their returned
    field values are therefore 0.
val set : control -> unitset r changes the GC parameters according to the control record r.
    The normal usage is: Gc.set { (Gc.get()) with Gc.verbose = 0x00d }
The major_heap_increment, max_overhead, allocation_policy, and
    window_size fields are currently not available in OCaml 5: setting them
    therefore has no effect.
val minor : unit -> unitTrigger a minor collection.
val major_slice : int -> intmajor_slice n
    Do a minor collection and a slice of major collection. n is the
    size of the slice: the GC will do enough work to free (on average)
    n words of memory. If n = 0, the GC will try to do enough work
    to ensure that the next automatic slice has no work to do.
    This function returns an unspecified integer (currently: 0).
val major : unit -> unitDo a minor collection and finish the current major collection cycle.
val full_major : unit -> unitDo a minor collection, finish the current major collection cycle, and perform a complete new cycle. This will collect all currently unreachable blocks.
val compact : unit -> unitPerform a full major collection and compact the heap. Note that heap compaction is a lengthy operation.
val print_stat : out_channel -> unitPrint the current values of the memory management counters (in human-readable form) of the total program into the channel argument.
val allocated_bytes : unit -> floatReturn the number of bytes allocated by this domain and potentially
   a previous domain. It is returned as a float to avoid overflow problems
   with int on 32-bit machines.
val get_minor_free : unit -> intReturn the current size of the free space inside the minor heap of this domain.
val finalise : ('a -> unit) -> 'a -> unitfinalise f v registers f as a finalisation function for v.
   v must be heap-allocated.  f will be called with v as
   argument at some point between the first time v becomes unreachable
   (including through weak pointers) and the time v is collected by
   the GC. Several functions can
   be registered for the same value, or even several instances of the
   same function.  Each instance will be called once (or never,
   if the program terminates before v becomes unreachable).
The GC will call the finalisation functions in the order of
   deallocation.  When several values become unreachable at the
   same time (i.e. during the same GC cycle), the finalisation
   functions will be called in the reverse order of the corresponding
   calls to finalise.  If finalise is called in the same order
   as the values are allocated, that means each value is finalised
   before the values it depends upon.  Of course, this becomes
   false if additional dependencies are introduced by assignments.
In the presence of multiple OCaml threads it should be assumed that any particular finaliser may be executed in any of the threads.
Anything reachable from the closure of finalisation functions is considered reachable, so the following code will not work as expected:
 let v = ... in Gc.finalise (fun _ -> ...v...) v Instead you should make sure that v is not in the closure of
   the finalisation function by writing:
 let f = fun x -> ...  let v = ... in Gc.finalise f v The f function can use all features of OCaml, including
   assignments that make the value reachable again.  It can also
   loop forever (in this case, the other
   finalisation functions will not be called during the execution of f,
   unless it calls finalise_release).
   It can call finalise on v or other values to register other
   functions or even itself.  It can raise an exception; in this case
   the exception will interrupt whatever the program was doing when
   the function was called.
finalise will raise Invalid_argument if v is not
   guaranteed to be heap-allocated.  Some examples of values that are not
   heap-allocated are integers, constant constructors, booleans,
   the empty array, the empty list, the unit value.  The exact list
   of what is heap-allocated or not is implementation-dependent.
   Some constant values can be heap-allocated but never deallocated
   during the lifetime of the program, for example a list of integer
   constants; this is also implementation-dependent.
   Note that values of types float are sometimes allocated and
   sometimes not, so finalising them is unsafe, and finalise will
   also raise Invalid_argument for them. Values of type 'a Lazy.t
   (for any 'a) are like float in this respect, except that the
   compiler sometimes optimizes them in a way that prevents finalise
   from detecting them. In this case, it will not raise
   Invalid_argument, but you should still avoid calling finalise
   on lazy values.
The results of calling String.make, Bytes.make, Bytes.create,
   Array.make, and ref are guaranteed to be
   heap-allocated and non-constant except when the length argument is 0.
val finalise_last : (unit -> unit) -> 'a -> unitsame as Gc.finalise except the value is not given as argument. So
    you can't use the given value for the computation of the
    finalisation function. The benefit is that the function is called
    after the value is unreachable for the last time instead of the
    first time. So contrary to Gc.finalise the value will never be
    reachable again or used again. In particular every weak pointer
    and ephemeron that contained this value as key or data is unset
    before running the finalisation function. Moreover the finalisation
    functions attached with Gc.finalise are always called before the
    finalisation functions attached with Gc.finalise_last.
val finalise_release : unit -> unitA finalisation function may call finalise_release to tell the
    GC that it can launch the next finalisation function without waiting
    for the current one to return.
type 
An alarm is a piece of data that calls a user function at the end of major GC cycle. The following functions are provided to create and delete alarms.
val create_alarm : (unit -> unit) -> alarmcreate_alarm f will arrange for f to be called at the end of
   major GC cycles, not caused by f itself, starting with the
   current cycle or the next one. f will run on the same domain that
   created the alarm, until the domain exits or delete_alarm is
   called. A value of type alarm is returned that you can use to
   call delete_alarm.
It is not guaranteed that the Gc alarm runs at the end of every major GC cycle, but it is guaranteed that it will run eventually.
As an example, here is a crude way to interrupt a function if the
   memory consumption of the program exceeds a given limit in MB,
   suitable for use in the toplevel:
let run_with_memory_limit (limit : int) (f : unit -> 'a) : 'a =
  let limit_memory () =
    let mem = Gc.(quick_stat ()).heap_words in
    if mem / (1024 * 1024) > limit / (Sys.word_size / 8) then
      raise Out_of_memory
  in
  let alarm = Gc.create_alarm limit_memory in
  Fun.protect f ~finally:(fun () -> Gc.delete_alarm alarm ; Gc.compact ())
   val delete_alarm : alarm -> unitdelete_alarm a will stop the calls to the function associated
   to a. Calling delete_alarm a again has no effect.
val eventlog_pause : unit -> unitval eventlog_resume : unit -> unitmodule Memprof:sig..end
Memprof is a profiling engine which randomly samples allocated
   memory words.
type 
val ramp_up : (unit -> 'a) -> 'a * suspended_collection_workIn general, the OCaml GC assumes that the program runs in a "steady state" where peak memory usage remains constant: for each newly allocated work, it assumes that one work has become unreachable and will try to collect it during the next GC slice.
This assumption is incorrect at the points during program execution where the live memory increases instead of remaining stable: the steady-state assumption will make the GC work harder at no benefit as it will not find more memory to collect.
ramp_up f puts the current domain in a "ramp-up" phase for the
    duration of the evaluation of f (), letting the GC know that the
    steady-state assumption does not hold; it should be used when you
    know that the live memory of the program will increase
    significantly.
During a ramp-up phase, the GC will not try to work harder for new
    allocations: the corresponding collection work is "suspended". The
    total amount of suspended collection work is returned by ramp_up
    along with the result of the function.
If the user discards this suspended work (by doing nothing with it), the GC will never accelerate to recover the corresponding amount of memory. This is appropriate if the ramp-up work allocates long-lived memory that remains live until the end of the program execution.
If the user knows that at a certain point in the program the live
    memory consumption has been reduced by the corresponding amount --
    typically, because the memory allocated during ramp_up has become
    unused -- then they should call Gc.ramp_down below to have the GC
    "resume" this collection work.
If f () raises an exception, the ramp-up phase terminates, the
    collection work that was suspended is resumed, and the exception
    is re-raised.
If f () performs an effect, the effect is not handled and an
    Effect.Unhandled exception is thrown instead.
val ramp_down : suspended_collection_work -> unitNotify the GC about some amount of collection work that was suspended during a ramp-up phase, to be resumed now.