package octez-shell-libs
Octez shell libraries
Install
Dune Dependency
Authors
Maintainers
Sources
tezos-octez-v20.1.tag.bz2
sha256=ddfb5076eeb0b32ac21c1eed44e8fc86a6743ef18ab23fff02d36e365bb73d61
sha512=d22a827df5146e0aa274df48bc2150b098177ff7e5eab52c6109e867eb0a1f0ec63e6bfbb0e3645a6c2112de3877c91a17df32ccbff301891ce4ba630c997a65
doc/src/octez-shell-libs.shell-benchmarks/micheline_benchmarks.ml.html
Source file micheline_benchmarks.ml
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(*****************************************************************************) (* *) (* Open Source License *) (* Copyright (c) 2021 Nomadic Labs. <contact@nomadic-labs.com> *) (* Copyright (c) 2023 Marigold <contact@marigold.dev> *) (* *) (* Permission is hereby granted, free of charge, to any person obtaining a *) (* copy of this software and associated documentation files (the "Software"),*) (* to deal in the Software without restriction, including without limitation *) (* the rights to use, copy, modify, merge, publish, distribute, sublicense, *) (* and/or sell copies of the Software, and to permit persons to whom the *) (* Software is furnished to do so, subject to the following conditions: *) (* *) (* The above copyright notice and this permission notice shall be included *) (* in all copies or substantial portions of the Software. *) (* *) (* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR*) (* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, *) (* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL *) (* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER*) (* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING *) (* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER *) (* DEALINGS IN THE SOFTWARE. *) (* *) (*****************************************************************************) open Benchmarks_shell open Tezos_micheline let ns = Namespace.make Shell_namespace.ns "micheline" let fv s = Free_variable.of_namespace (ns s) (* An ad-hoc sampler for Micheline values. Boltzmann sampling would do well here. *) type width_function = depth:int -> int Base_samplers.sampler type node = (int, unit) Micheline.node type node_kind = Int_node | String_node | Bytes_node | Seq_node | Prim_node (* We skew the distribution towards non-leaf nodes by repeating the relevant kinds ;) *) let all_kinds = [|Int_node; String_node; Bytes_node; Seq_node; Prim_node|] let sample_kind : node_kind Base_samplers.sampler = fun rng_state -> let i = Random.State.int rng_state (Array.length all_kinds) in all_kinds.(i) let sample_string _ = "" let sample_bytes _ = Bytes.empty let sample_z _ = Z.zero let sample (w : width_function) rng_state = let rec sample depth rng_state k = match sample_kind rng_state with | Int_node -> k (Micheline.Int (0, sample_z rng_state)) | String_node -> k (Micheline.String (0, sample_string rng_state)) | Bytes_node -> k (Micheline.Bytes (0, sample_bytes rng_state)) | Seq_node -> let width = w ~depth rng_state in sample_list depth width [] (fun terms -> k (Micheline.Seq (0, terms))) rng_state | Prim_node -> let width = w ~depth rng_state in sample_list depth width [] (fun terms -> k (Micheline.Prim (0, (), terms, []))) rng_state and sample_list depth width acc k rng_state = if width < 0 then invalid_arg "sample_list: negative width" else if width = 0 then k (List.rev acc) else sample (depth + 1) rng_state (fun x -> sample_list depth (width - 1) (x :: acc) k rng_state) in sample 0 rng_state (fun x -> x) let reasonable_width_function ~depth rng_state = (* Entirely ad-hoc *) Base_samplers.( sample_in_interval ~range:{min = 0; max = 20 / (Bits.numbits depth + 1)} rng_state) let sample = sample reasonable_width_function (* Computing the size of a micheline term *) type size = {nodes : int; bytes : int} let int z = {nodes = 1; bytes = (Z.numbits z + 7) / 8} let string s = {nodes = 1; bytes = String.length s} let bytes b = {nodes = 1; bytes = Bytes.length b} let node = {nodes = 1; bytes = 0} let ( @+ ) x y = {nodes = x.nodes + y.nodes; bytes = x.bytes + y.bytes} let micheline_size (n : node) = let rec micheline_size n acc = let open Micheline in match n with | Int (_, i) -> acc @+ int i | String (_, s) -> acc @+ string s | Bytes (_, b) -> acc @+ bytes b | Seq (_, terms) -> List.fold_left (fun acc term -> micheline_size term acc) (acc @+ node) terms | Prim (_, _, terms, _) -> List.fold_left (fun acc term -> micheline_size term acc) (acc @+ node) terms in micheline_size n {nodes = 0; bytes = 0} module Micheline_strip_locations : Benchmark.Simple = struct let name = ns "strip_locations_micheline" let info = "Benchmarking Micheline.strip_locations" let module_filename = __FILE__ let purpose = Benchmark.Generate_code "script_repr" let = ["micheline"] type config = unit let config_encoding = Data_encoding.unit let default_config = () type workload = size let workload_encoding = let open Data_encoding in conv (fun {nodes; bytes} -> (nodes, bytes)) (fun (nodes, bytes) -> {nodes; bytes}) (obj2 (req "nodes" int31) (req "bytes" int31)) let workload_to_vector {nodes; bytes} = Sparse_vec.String.of_list [("nodes", float_of_int nodes); ("bytes", float_of_int bytes)] let model = Model.( make ~conv:(fun {nodes; bytes = _} -> (nodes, ())) (linear ~name ~coeff:(fv "nodes"))) let group = Benchmark.Standalone let create_benchmark ~rng_state () = let term = sample rng_state in let size = micheline_size term in let closure () = ignore (Micheline.strip_locations term) in Generator.Plain {workload = size; closure} end let () = Registration.register_simple (module Micheline_strip_locations)
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