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
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    Arg_names
    
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    X
    
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    Fold_constants
    
    X
    
    Free_variables
    
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    Num
    
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    S
    
    Subst
    
    P
    
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    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
    
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    Make_finite_key_pool
    
    Arg
    
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    Make_finite_key_pool
    
    Arg
  - Csv
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  - Fixed_point_transform
    
    Apply
    
    P
    
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    Map
    
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    NMap
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    Applied
    
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    Tics
  - Pyinference
    
    LinearModel
  - Pyinit
  - Pytools
  - Registration
  - Scikit_matrix
  - Sparse_vec
    
    Make
    
    M
    
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    S
    
    Op
    
    String
    
    Op
  - Structure_samplers

Legend:
Library
Module
Module type
Parameter
Class
Class type

Preparing scatter plots.

val points_2d : 
  points:r2 Data.t ->
  ?style:Style.t ->
  ?legend:string ->
  ?error_bars:r2 Data.t ->
  unit ->
  r2 spec

points_2d ~points ~style ?legend () creates a 2d scatter plot using style to select color and point shape.

The optional argument ?style defaults to Style.default
The optional argument ?legend defaults to "".
The optional argument ?error_bars, if present, is a sequence of r2 elements such that each element (y1, y2) is displayed as a vertical error bar. The error bar associated to the element (x, y) then correspond to the segment starting at (x, y + y1) and ending at (x, y - y2).

raises Invalid_argument
if the length of error_bars, if present, is not equal to that of points.

val points_3d : 
  points:r3 Data.t ->
  ?style:Style.t ->
  ?legend:string ->
  unit ->
  r3 spec

points_3d ~points ~style ?legend creates a 3d scatter plot. See points_2d for the meaning of other options.