|
| 1 | +#![feature(try_trait_v2)] |
| 2 | + |
| 3 | +use tsap::{param, ParamGuard, Call}; |
| 4 | + |
| 5 | +/* |
| 6 | +#[param] |
| 7 | +#[derive(Debug)] |
| 8 | +pub struct SVClassifier { |
| 9 | + nu: f32 |
| 10 | +} |
| 11 | +
|
| 12 | +impl ParamGuard for SVClassifier { |
| 13 | + type Error = tsap::Error; |
| 14 | +
|
| 15 | + fn check(&self) -> Result<(), Self::Error> { |
| 16 | + if self.nu < 0.0 { |
| 17 | + return Err(tsap::Error::InvalidParam( |
| 18 | + format!("SV classifier regularization should be positive, but {}", self.nu) |
| 19 | + )); |
| 20 | + } |
| 21 | +
|
| 22 | + Ok(()) |
| 23 | + } |
| 24 | +} |
| 25 | +
|
| 26 | +impl Default for SVClassifier { |
| 27 | + fn default() -> Self { |
| 28 | + SVClassifier { |
| 29 | + nu: 100.0, |
| 30 | + } |
| 31 | + } |
| 32 | +} |
| 33 | +
|
| 34 | +#[param] |
| 35 | +#[derive(Debug)] |
| 36 | +pub enum ModelParam { |
| 37 | + RandomForest { |
| 38 | + ntrees: usize |
| 39 | + }, |
| 40 | + SVClassifier(SVClassifier), |
| 41 | +} |
| 42 | +
|
| 43 | +impl From<SVClassifier> for Call<ModelParam> { |
| 44 | + fn from(val: SVClassifier) -> Self { |
| 45 | + Call::from(ModelParam::SVClassifier(val)) |
| 46 | + } |
| 47 | +} |
| 48 | +
|
| 49 | +impl ParamGuard for ModelParam { |
| 50 | + type Error = tsap::Error; |
| 51 | +} |
| 52 | +*/ |
| 53 | + |
| 54 | +//#[param] |
| 55 | +//pub enum Param<const C: bool> { |
| 56 | +// Blub(Param2<C, C>, u32), |
| 57 | +// Bla |
| 58 | +//} |
| 59 | +//#[param] |
| 60 | +//#[derive(Debug)] |
| 61 | +//pub struct SVClassifier<const C: bool> { |
| 62 | +// nu: f32 |
| 63 | +//} |
| 64 | +// |
| 65 | +//impl<const C: bool> ParamGuard for SVClassifier<C> { |
| 66 | +// type Error = tsap::Error; |
| 67 | +// |
| 68 | +// fn check(&self) -> Result<(), Self::Error> { |
| 69 | +// Ok(()) |
| 70 | +// } |
| 71 | +//} |
| 72 | +// |
| 73 | +//impl Default for SVClassifier<true> { |
| 74 | +// fn default() -> Self { |
| 75 | +// SVClassifier { |
| 76 | +// nu: 0.1 |
| 77 | +// } |
| 78 | +// } |
| 79 | +//} |
| 80 | +// |
| 81 | +//#[param] |
| 82 | +//#[derive(Debug)] |
| 83 | +//pub enum Model<const C: bool> { |
| 84 | +// SVClassifier(SVClassifier<C>), |
| 85 | +//} |
| 86 | +// |
| 87 | +//impl Default for Model<true> { |
| 88 | +// fn default() -> Self { |
| 89 | +// Model::SVClassifier(SVClassifier::default()) |
| 90 | +// } |
| 91 | +//} |
| 92 | +// |
| 93 | +//impl<const C: bool> ParamGuard for Model<C> { |
| 94 | +// type Error = tsap::Error; |
| 95 | +// |
| 96 | +// fn check(&self) -> Result<(), Self::Error> { |
| 97 | +// Ok(()) |
| 98 | +// } |
| 99 | +//} |
| 100 | + |
| 101 | +#[param] |
| 102 | +#[derive(Debug)] |
| 103 | +pub struct Param<const C: bool, T: Default> { |
| 104 | + seed: T, |
| 105 | + //model: Model<C>, |
| 106 | + //rev: String, |
| 107 | + //date: String, |
| 108 | + |
| 109 | + //model: ModelParam, |
| 110 | +} |
| 111 | + |
| 112 | +impl<T: Default> Default for Param<true, T> { |
| 113 | + fn default() -> Self { |
| 114 | + Param { |
| 115 | + seed: T::default() |
| 116 | + //rev: "Blub".into(), |
| 117 | + //date: "null".into(), |
| 118 | + //model: ModelParam::RandomForest { ntrees: 10 } |
| 119 | + } |
| 120 | + } |
| 121 | +} |
| 122 | + |
| 123 | +impl<const C: bool, T: Default> ParamGuard for Param<C, T> { |
| 124 | + type Error = tsap::Error; |
| 125 | + |
| 126 | + fn check(&self) -> Result<(), Self::Error> { |
| 127 | + Ok(()) |
| 128 | + } |
| 129 | +} |
| 130 | +fn main() -> Result<(), tsap::Error> { |
| 131 | + let param = Param::default() |
| 132 | + .seed(|x| x+1)?; |
| 133 | + |
| 134 | + Ok(()) |
| 135 | +} |
| 136 | + |
| 137 | +/* |
| 138 | +
|
| 139 | +
|
| 140 | +
|
| 141 | +fn main() -> Result<(), tsap::Error> { |
| 142 | + let p = Param::default() |
| 143 | + .seed(100) |
| 144 | + .build()? |
| 145 | + .seed(|x| x+1) |
| 146 | + //.try_seed(|x| Ok(x + 1000)) |
| 147 | + .model(|x| x.svclassifier(|x| x.nu(10.0))) |
| 148 | + // do we really need a Box<TryInto<SVClassifierParam>> here? Distinction between Param and |
| 149 | + // ParamBuilder not easy to make, but how plays this together with trait bound on return |
| 150 | + // value |
| 151 | + //.try_model(|x| x.try_svclassifier(|x| x.nu(10.0))) |
| 152 | + //.model(|obj| obj.nu(1000.0).build()?) |
| 153 | + //.model(ModelParam::SVClassifier { nu: 100.0 }) |
| 154 | + .build()?; |
| 155 | +
|
| 156 | + Ok(()) |
| 157 | +}*/ |
| 158 | + |
| 159 | +/*fn main() -> Result<(), tsap::Error> { |
| 160 | + let p = Param::from(toml::toml!( |
| 161 | + rev = { cmd = "git rev-parse --short HEAD" } |
| 162 | + date = { cmd = "date '+%d-%m-%Y %H:%M:%S'" } |
| 163 | + seed = 100 |
| 164 | +
|
| 165 | + [model] |
| 166 | + from_file = { base_path = "config/models/", default = "randomforest" } |
| 167 | + )); |
| 168 | +
|
| 169 | + dbg!(&p.0.root); |
| 170 | +
|
| 171 | + let p = Param::from_file("config/main.toml")? |
| 172 | + .seed(50) |
| 173 | + .seed(|x| x+3) |
| 174 | + .seed(|x| x+3) |
| 175 | + .amend_file("config/main.toml")?; |
| 176 | +
|
| 177 | + dbg!(&p.get_seed()); |
| 178 | +
|
| 179 | + let p: Param = p.try_into()?; |
| 180 | +
|
| 181 | + dbg!(&p); |
| 182 | +
|
| 183 | + Ok(()) |
| 184 | +}*/ |
| 185 | + |
| 186 | +//https://ferrous-systems.com/blog/testing-proc-macros/ |
| 187 | +//https://github.com/ferrous-systems/testing-proc-macros/blob/main/src/lib.rs |
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