package tezos-benchmark

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tezos-benchmark
- Tezos_benchmark
  - Ast
    
    Ast
    
    At_least_10
    
    X
    
    Make
    
    Size
    
    Optimize
    
    X
    
    S
    
    To_ast
    
    Ast
    
    Transform
    
    F
    
    Ast
    
    X
  - Base_samplers
    
    Adversarial
  - Benchmark
    
    Benchmark_base
    
    S
    
    Simple
    
    Simple_with_num
  - Benchmark_helpers
  - Builtin_benchmarks
    
    Timer_latency_bench
  - Builtin_models
  - Codegen
    
    Parser
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  - Costlang
    
    Arg_names
    
    Beta_normalize
    
    X
    
    Eval
    
    Eval_linear_combination_impl
    
    Eval_to_vector
    
    Fold_constants
    
    X
    
    Free_variables
    
    Hash_cons
    
    X
    
    Hash_cons_vector
    
    Identity
    
    X
    
    Let_lift
    
    X
    
    Num
    
    Pp
    
    S
    
    Subst
    
    P
    
    X
    
    Transform
    
    X
    
    Ty
    
    Type
    
    Void
  - Crypto_samplers
    
    Finite_key_pool_S
    
    Make_finite_key_pool
    
    Arg
    
    P_Finite_key_pool_S
    
    Param_S
    
    V0
    
    Finite_key_pool_S
    
    Make_finite_key_pool
    
    Arg
    
    V1
    
    Finite_key_pool_S
    
    Make_finite_key_pool
    
    Arg
    
    V_latest
    
    Finite_key_pool_S
    
    Make_finite_key_pool
    
    Arg
  - Csv
  - Dep_graph
    
    Graph
    
    Graphviz
    
    Solver
    
    Solved
    
    Unsolved
  - Fixed_point_transform
    
    Apply
    
    P
    
    X
  - Free_variable
    
    Map
    
    Set
    
    Sparse_vec
    
    Op
    
    Table
  - Generator
    
    S
  - Inference
    
    NMap
  - Maths
  - Measure
    
    Time
  - Model
    
    Applied
    
    X
    
    Binary_operation
    
    Def
    
    X
    
    Instantiate
    
    M
    
    Def
    
    X
    
    X
    
    Instantiated
    
    Model_impl
    
    Def
    
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  - Namespace
    
    Hashtbl
    
    Map
    
    Set
  - Ocamlformat
  - Override
  - Plot
    
    Bar
    
    Color
    
    Data
    
    Fill
    
    Histogram
    
    Line
    
    Pointtype
    
    Scatter
    
    Style
    
    Tics
  - Pyinference
    
    LinearModel
  - Pyinit
  - Pytools
  - Registration
  - Scikit_matrix
  - Sparse_vec
    
    Make
    
    M
    
    Op
    
    S
    
    Op
    
    String
    
    Op
  - Structure_samplers

Legend:
Library
Module
Module type
Parameter
Class
Class type

Save and load tables as CSV files.

Note that this module does not support the full specification of CSV but covers only the specific format used in Snoop.

type csv = string list list

The type of table. A list of rows. Each row must have the same number of columns

val concat : ?check_disjoint_headers:bool -> csv -> csv -> csv

Horizontally concat tables. The Tables must have the same number of rows.

val export : 
  filename:string ->
  ?separator:char ->
  ?linebreak:char ->
  csv ->
  unit

Save a table to a CSV file

val export_stdout : ?separator:char -> ?linebreak:char -> csv -> unit

Print a table as CSV to stdout

val import : filename:string -> ?separator:char -> unit -> csv

Load a CSV file

val append_columns : 
  filename:string ->
  ?separator:char ->
  ?linebreak:char ->
  csv ->
  unit

Extend the CSV file with the given columns