Params update: From Box to Enum

Cargo.toml

@@ -11,6 +11,7 @@ ndarray = "*"
 thiserror = "*"
 rand = "*"
 bimap = "*"
+enum_dispatch = "*"
 
 [dev-dependencies]
 approx = "*"

src/ctbn.rs

@@ -1,7 +1,7 @@
 use std::collections::{HashMap, BTreeSet};
 use ndarray::prelude::*;
 use crate::node;
-use crate::params::StateType;
+use crate::params::{StateType, Params, ParamsTrait};
 use crate::network;
 
 
@@ -29,16 +29,16 @@ use crate::network;
 /// domain.insert(String::from("B"));
 ///
 /// //Create the parameters for a discrete node using the domain
-/// let params = params::DiscreteStatesContinousTimeParams::init(domain); 
+/// let param = params::DiscreteStatesContinousTimeParams::init(domain); 
 ///
 /// //Create the node using the parameters
-/// let X1 = node::Node::init(Box::from(params),String::from("X1"));
+/// let X1 = node::Node::init(params::Params::DiscreteStatesContinousTime(param),String::from("X1"));
 ///
 /// let mut domain = BTreeSet::new();
 /// domain.insert(String::from("A"));
 /// domain.insert(String::from("B"));
-/// let params = params::DiscreteStatesContinousTimeParams::init(domain);
+/// let param = params::DiscreteStatesContinousTimeParams::init(domain);
-/// let X2 = node::Node::init(Box::from(params), String::from("X2"));
+/// let X2 = node::Node::init(params::Params::DiscreteStatesContinousTime(param), String::from("X2"));
 /// 
 /// //Initialize a ctbn
 /// let mut net = CtbnNetwork::init();
@@ -156,8 +156,8 @@ mod tests {
         let mut domain = BTreeSet::new();
         domain.insert(String::from("A"));
         domain.insert(String::from("B"));
-        let params = params::DiscreteStatesContinousTimeParams::init(domain);
+        let param = params::DiscreteStatesContinousTimeParams::init(domain) ;
-        let n = node::Node::init(Box::from(params), name);
+        let n = node::Node::init(params::Params::DiscreteStatesContinousTime(param), name);
         return n;
     }
 

src/node.rs

@@ -2,12 +2,12 @@ use crate::params::*;
 
 
 pub struct Node {
-    pub params: Box<dyn Params>,
+    pub params:  Params,
     pub label: String
 }
 
 impl Node {
-    pub fn init(params: Box<dyn Params>, label: String) -> Node {
+    pub fn init(params: Params, label: String) -> Node {
         Node{
             params: params,
             label:label

src/params.rs

@@ -1,8 +1,8 @@
 use ndarray::prelude::*;
-use std::collections::{HashMap, BTreeSet};
 use rand::Rng;
+use std::collections::{BTreeSet, HashMap};
 use thiserror::Error;
-
+use enum_dispatch::enum_dispatch;
 
 /// Error types for trait Params
 #[derive(Error, Debug)]
@@ -10,19 +10,19 @@ pub enum ParamsError {
     #[error("Unsupported method")]
     UnsupportedMethod(String),
     #[error("Paramiters not initialized")]
-    ParametersNotInitialized(String)
+    ParametersNotInitialized(String),
 }
 
 /// Allowed type of states
 #[derive(Clone)]
 pub enum StateType {
-    Discrete(u32)
+    Discrete(u32),
 }
 
 /// Parameters
 /// The Params trait is the core element for building different types of nodes. The goal is to
 /// define the set of method required to describes a generic node.
-pub trait Params {
+pub trait ParamsTrait {
     fn reset_params(&mut self);
 
     /// Randomly generate a possible state of the node disregarding the state of the node and it's
@@ -33,10 +33,9 @@ pub trait Params {
     /// and its parent set.
     fn get_random_residence_time(&self, state: usize, u: usize) -> Result<f64, ParamsError>;
 
-
     /// Randomly generate a possible state for the given node taking into account the node state
     /// and its parent set.
-    fn get_random_state(&self, state: usize, u:usize) -> Result<StateType, ParamsError>;
+    fn get_random_state(&self, state: usize, u: usize) -> Result<StateType, ParamsError>;
 
     /// Used by childern of the node described by this parameters to reserve spaces in their CIMs.
     fn get_reserved_space_as_parent(&self) -> usize;
@@ -45,13 +44,69 @@ pub trait Params {
     fn state_to_index(&self, state: &StateType) -> usize;
 }
 
+/// The Params enum is the core element for building different types of nodes. The goal is to
+/// define all the supported type of parameters.
+pub enum Params {
+    DiscreteStatesContinousTime(DiscreteStatesContinousTimeParams),
+}
+
+impl ParamsTrait for Params {
+    fn reset_params(&mut self) {
+        match self {
+            Params::DiscreteStatesContinousTime(p) => p.reset_params()
+        }
+    }
+
+    fn get_random_state_uniform(&self) -> StateType{
+        match self {
+            Params::DiscreteStatesContinousTime(p) => p.get_random_state_uniform()
+        }
+    }
+
+
+    /// Randomly generate a residence time for the given node taking into account the node state
+    /// and its parent set.
+    fn get_random_residence_time(&self, state: usize, u: usize) -> Result<f64, ParamsError> {
+        match self {
+            Params::DiscreteStatesContinousTime(p) => p.get_random_residence_time(state, u)
+        }
+    }
+
+
+    /// Randomly generate a possible state for the given node taking into account the node state
+    /// and its parent set.
+    fn get_random_state(&self, state: usize, u: usize) -> Result<StateType, ParamsError> {
+        match self {
+            Params::DiscreteStatesContinousTime(p) => p.get_random_state(state, u)
+        }
+    }
+
+
+    /// Used by childern of the node described by this parameters to reserve spaces in their CIMs.
+    fn get_reserved_space_as_parent(&self) -> usize {
+        match self {
+            Params::DiscreteStatesContinousTime(p) => p.get_reserved_space_as_parent()
+        }
+    }
+
+
+    /// Index used by discrete node to represents their states as usize.
+    fn state_to_index(&self, state: &StateType) -> usize {
+        match self {
+            Params::DiscreteStatesContinousTime(p) => p.state_to_index(state)
+        }
+    }
+
 
-/// Parameters for a discrete node in continous time. It contains. This represents the parameters
+}
-/// of a classical discrete node for ctbn and it's composed by the following elements:
+
+/// DiscreteStatesContinousTime.
+/// This represents the parameters of a classical discrete node for ctbn and it's composed by the
+/// following elements:
 /// - **domain**: an ordered and exhaustive set of possible states
 /// - **cim**: Conditional Intensity Matrix
 /// - **Sufficient Statistics**: the sufficient statistics are mainly used during the parameter
-/// l   earning task and are composed by:
+///     learning task and are composed by:
 ///     - **transitions**: number of transitions from one state to another given a specific
 ///     realization of the parent set
 ///     - **residence_time**: permanence time in each possible states given a specific
@@ -60,7 +115,7 @@ pub struct DiscreteStatesContinousTimeParams {
     domain: BTreeSet<String>,
     cim: Option<Array3<f64>>,
     transitions: Option<Array3<u64>>,
-    residence_time: Option<Array2<f64>>
+    residence_time: Option<Array2<f64>>,
 }
 
 impl DiscreteStatesContinousTimeParams {
@@ -69,12 +124,12 @@ impl DiscreteStatesContinousTimeParams  {
             domain: domain,
             cim: Option::None,
             transitions: Option::None,
-            residence_time: Option::None
+            residence_time: Option::None,
         }
     }
 }
-impl Params for DiscreteStatesContinousTimeParams {
 
+impl ParamsTrait for DiscreteStatesContinousTimeParams {
     fn reset_params(&mut self) {
         self.cim = Option::None;
         self.transitions = Option::None;
@@ -86,7 +141,7 @@ impl Params for DiscreteStatesContinousTimeParams {
         StateType::Discrete(rng.gen_range(0..(self.domain.len() as u32)))
     }
 
-    fn get_random_residence_time(&self, state: usize, u:usize) -> Result<f64, ParamsError> {
+    fn get_random_residence_time(&self, state: usize, u: usize) -> Result<f64, ParamsError> {
         // Generate a random residence time given the current state of the node and its parent set.
         // The method used is described in:
         // https://en.wikipedia.org/wiki/Exponential_distribution#Generating_exponential_variates
@@ -94,15 +149,16 @@ impl Params for DiscreteStatesContinousTimeParams {
             Option::Some(cim) => {
                 let mut rng = rand::thread_rng();
                 let lambda = cim[[u, state, state]] * -1.0;
-            let x:f64 = rng.gen_range(0.0..1.0);
+                let x: f64 = rng.gen_range(0.0..1.0);
-            Ok(-x.ln()/lambda)
+                Ok(-x.ln() / lambda)
-           },
+            }
-           Option::None => Err(ParamsError::ParametersNotInitialized(String::from("CIM not initialized")))
+            Option::None => Err(ParamsError::ParametersNotInitialized(String::from(
+                "CIM not initialized",
+            ))),
         }
     }
 
-
+    fn get_random_state(&self, state: usize, u: usize) -> Result<StateType, ParamsError> {
-    fn get_random_state(&self, state: usize, u:usize) -> Result<StateType, ParamsError>{
         // Generate a random transition given the current state of the node and its parent set.
         // The method used is described in:
         // https://en.wikipedia.org/wiki/Multinomial_distribution#Sampling_from_a_multinomial_distribution
@@ -112,12 +168,16 @@ impl Params for DiscreteStatesContinousTimeParams {
                 let lambda = cim[[u, state, state]] * -1.0;
                 let x: f64 = rng.gen_range(0.0..1.0);
 
-            let next_state = cim.slice(s![u,state,..]).map(|x| x / lambda).iter().fold((0, 0.0), |mut acc, ele| { 
+                let next_state = cim.slice(s![u, state, ..]).map(|x| x / lambda).iter().fold(
-                if &acc.1 + ele < x  && ele > &0.0{
+                    (0, 0.0),
+                    |mut acc, ele| {
+                        if &acc.1 + ele < x && ele > &0.0 {
                             acc.1 += x;
                             acc.0 += 1;
                         }
-                acc});
+                        acc
+                    },
+                );
 
                 let next_state = if next_state.0 < state {
                     next_state.0
@@ -126,12 +186,12 @@ impl Params for DiscreteStatesContinousTimeParams {
                 };
 
                 Ok(StateType::Discrete(next_state as u32))
-            
+            }
-           },
+            Option::None => Err(ParamsError::ParametersNotInitialized(String::from(
-           Option::None => Err(ParamsError::ParametersNotInitialized(String::from("CIM not initialized")))
+                "CIM not initialized",
+            ))),
         }
     }
-
 
     fn get_reserved_space_as_parent(&self) -> usize {
         self.domain.len()
@@ -139,7 +199,7 @@ impl Params for DiscreteStatesContinousTimeParams {
 
     fn state_to_index(&self, state: &StateType) -> usize {
         match state {
-            StateType::Discrete(val) => val.clone() as usize
+            StateType::Discrete(val) => val.clone() as usize,
         }
     }
 }
@@ -147,8 +207,7 @@ impl Params for DiscreteStatesContinousTimeParams {
 #[cfg(test)]
 mod tests {
     use super::*;
-    use ndarray::prelude::*;
+    //use ndarray::prelude::*;
-
 
     fn create_ternary_discrete_time_continous_param() -> DiscreteStatesContinousTimeParams {
         let mut domain = BTreeSet::new();
@@ -157,56 +216,54 @@ mod tests {
         domain.insert(String::from("C"));
         let mut params = DiscreteStatesContinousTimeParams::init(domain);
 
-        let cim = array![
+        let cim = array![[[-3.0, 2.0, 1.0], [1.0, -5.0, 4.0], [3.2, 1.7, -4.0]]];
-            [
-                [-3.0, 2.0, 1.0],
-                [1.0, -5.0, 4.0],
-                [3.2, 1.7, -4.0]
-            ]];
 
         params.cim = Some(cim);
         params
     }
-    
     #[test]
     fn test_uniform_generation() {
         let param = create_ternary_discrete_time_continous_param();
         let mut states = Array1::<u32>::zeros(10000);
 
-        states.mapv_inplace(|_| if let StateType::Discrete(val) = param.get_random_state_uniform() {
+        states.mapv_inplace(|_| {
+            if let StateType::Discrete(val) = param.get_random_state_uniform() {
                 val
-        } else {panic!()});
+            } else {
+                panic!()
+            }
+        });
         let zero_freq = states.mapv(|a| (a == 0) as u64).sum() as f64 / 10000.0;
 
-        assert_relative_eq!(1.0/3.0, zero_freq, epsilon=0.01);
+        assert_relative_eq!(1.0 / 3.0, zero_freq, epsilon = 0.01);
     }
 
-
     #[test]
     fn test_random_generation_state() {
         let param = create_ternary_discrete_time_continous_param();
         let mut states = Array1::<u32>::zeros(10000);
 
-        states.mapv_inplace(|_| if let StateType::Discrete(val) = param.get_random_state(1, 0).unwrap() {
+        states.mapv_inplace(|_| {
+            if let StateType::Discrete(val) = param.get_random_state(1, 0).unwrap() {
                 val
-        } else {panic!()});
+            } else {
+                panic!()
+            }
+        });
         let two_freq = states.mapv(|a| (a == 2) as u64).sum() as f64 / 10000.0;
         let zero_freq = states.mapv(|a| (a == 0) as u64).sum() as f64 / 10000.0;
 
-        assert_relative_eq!(4.0/5.0, two_freq, epsilon=0.01);
+        assert_relative_eq!(4.0 / 5.0, two_freq, epsilon = 0.01);
-        assert_relative_eq!(1.0/5.0, zero_freq, epsilon=0.01);
+        assert_relative_eq!(1.0 / 5.0, zero_freq, epsilon = 0.01);
     }
 
-    
     #[test]
     fn test_random_generation_residence_time() {
         let param = create_ternary_discrete_time_continous_param();
         let mut states = Array1::<f64>::zeros(10000);
 
-        states.mapv_inplace(|_| param.get_random_residence_time(1, 0).unwrap() );
+        states.mapv_inplace(|_| param.get_random_residence_time(1, 0).unwrap());
-
-        assert_relative_eq!(1.0/5.0, states.mean().unwrap(), epsilon=0.01);
 
+        assert_relative_eq!(1.0 / 5.0, states.mean().unwrap(), epsilon = 0.01);
     }
-
 }

src/tools.rs

@@ -2,7 +2,7 @@ use ndarray::prelude::*;
 use crate::network;
 use crate::node;
 use crate::params;
-use crate::params::Params;
+use crate::params::ParamsTrait;
 
 pub struct Trajectory {
     time: Array1<f64>,