feat(transform): add Rust-backed discrete truncate and wire it into Python API

applpy/transform.py

@@ -8,6 +8,16 @@
 from .rv import RV, RVError, t, x
 
 
+try:
+    import applpy_rust
+except ImportError:
+    raise ImportError(
+        "applpy_rust extension is not built. "
+        "Run `uv sync --extra rust` then "
+        "`uv run --no-sync maturin develop -m rust/Cargo.toml`."
+    )
+
+
 def transform(random_variable, transform_spec):
     """
     Procedure Name: Transform
@@ -423,23 +433,14 @@ def _truncate_discrete_functional(pdf_random_variable, cdf_random_variable, supp
 
 
 def _truncate_discrete(pdf_random_variable, support_interval):
-    # Find the area of the truncated random variable
-    truncation_area = 0
-    for i in range(len(pdf_random_variable.support)):
-        if pdf_random_variable.support[i] >= support_interval[0]:
-            if pdf_random_variable.support[i] <= support_interval[1]:
-                truncation_area += pdf_random_variable.func[i]
-    # Truncate the random variable and find the probability
-    #   at each point
-    truncated_functions = []
-    truncated_support = []
-    for i in range(len(pdf_random_variable.support)):
-        if pdf_random_variable.support[i] >= support_interval[0]:
-            if pdf_random_variable.support[i] <= support_interval[1]:
-                truncated_functions.append(pdf_random_variable.func[i] / truncation_area)
-                truncated_support.append(pdf_random_variable.support[i])
-    # Return the truncated random variable
-    return RV(truncated_functions, truncated_support, ["discrete", "pdf"])
+    min_support, max_support = tuple(support_interval)
+    fast_rv = applpy_rust.truncate_discrete(pdf_random_variable, min_support, max_support)
+    return RV(
+        func=fast_rv.function,
+        support=fast_rv.support,
+        functional_form=fast_rv.functional_form,
+        domain_type=fast_rv.domain_type,
+    )
 
 
 def mixture(mix_parameters, mix_random_variables):

rust/src/algorithms/mod.rs

@@ -3,3 +3,4 @@ pub mod moments;
 pub mod number;
 pub mod order_stat;
 pub mod rv;
+pub mod transform;

rust/src/algorithms/transform.rs

@@ -0,0 +1,169 @@
+#![allow(dead_code)]
+
+use crate::algorithms::number::Number;
+use crate::algorithms::rv::{DomainType, FunctionalForm, RandomVariable};
+
+/// Truncates a discrete random variable by cutting off a portion of the support
+/// and normalizing total probability of the distribution to 1.
+///
+/// # Arguments
+/// * `random_variable` - the random variable to truncate
+/// * `min_support` - the minimum support of the new random variable.
+///   Must be greater than or equal to the current minimum support.
+/// * `max_support` - the maximum support of the new random variable.
+///   Must be less than or equal to the current maximum support.
+///
+/// # Returns
+/// * `truncated_rv` - the truncated random variable
+///
+/// # Examples
+/// ```
+/// use applpy_rust::algorithms::number::Number;
+/// use applpy_rust::algorithms::rv::{DomainType, FunctionalForm, RandomVariable};
+/// use applpy_rust::algorithms::transform::truncate_discrete;
+/// use num_rational::Rational64;
+///
+/// let rv = RandomVariable {
+///     function: vec![
+///         Number::Rational(Rational64::new(1, 10)),
+///         Number::Rational(Rational64::new(2, 10)),
+///         Number::Rational(Rational64::new(3, 10)),
+///         Number::Rational(Rational64::new(4, 10)),
+///     ],
+///     support: vec![
+///         Number::Integer(1),
+///         Number::Integer(2),
+///         Number::Integer(3),
+///         Number::Integer(4),
+///     ],
+///     functional_form: FunctionalForm::Pdf,
+///     domain_type: DomainType::Discrete,
+/// };
+///
+/// let truncated = truncate_discrete(&rv, Number::Integer(2), Number::Integer(3)).unwrap();
+///
+/// assert_eq!(truncated.support, vec![Number::Integer(2), Number::Integer(3)]);
+/// assert_eq!(
+///     truncated.function,
+///     vec![
+///         Number::Rational(Rational64::new(2, 5)),
+///         Number::Rational(Rational64::new(3, 5)),
+///     ]
+/// );
+/// assert!(matches!(truncated.functional_form, FunctionalForm::Pdf));
+/// assert!(matches!(truncated.domain_type, DomainType::Discrete));
+/// ```
+pub fn truncate_discrete(
+    random_variable: &RandomVariable,
+    min_support: Number,
+    max_support: Number,
+) -> Result<RandomVariable, String> {
+    let pdf_random_variable = random_variable.to_pdf()?;
+    let function = pdf_random_variable.function;
+    let support = pdf_random_variable.support;
+
+    if min_support >= max_support {
+        return Err("max_support must be greater than the min_support".to_string());
+    }
+
+    let first_support = *support.first().ok_or("support is empty")?;
+    if min_support < first_support {
+        return Err(
+            "min support must be greater than or equal to the lowest support value".to_string(),
+        );
+    }
+
+    let last_support = *support.last().ok_or("support is empty")?;
+    if max_support > last_support {
+        return Err(
+            "max support must be less than or equal to the highest support value".to_string(),
+        );
+    }
+
+    let mut truncation_area = Number::Integer(0);
+    for (&support_value, &function_value) in support.iter().zip(function.iter()) {
+        if support_value >= min_support && support_value <= max_support {
+            truncation_area += function_value;
+        }
+    }
+
+    let zero = Number::Integer(0);
+    if truncation_area == zero {
+        return Err("there is no probability mass within the specified support range".to_string());
+    }
+
+    let mut truncated_function = Vec::new();
+    let mut truncated_support = Vec::new();
+
+    for (&support_value, &function_value) in support.iter().zip(function.iter()) {
+        if support_value >= min_support && support_value <= max_support {
+            let probability = function_value / truncation_area;
+            truncated_function.push(probability);
+            truncated_support.push(support_value);
+        }
+    }
+
+    let truncated_rv = RandomVariable {
+        function: truncated_function,
+        support: truncated_support,
+        functional_form: FunctionalForm::Pdf,
+        domain_type: DomainType::Discrete,
+    };
+    Ok(truncated_rv)
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use num_rational::Rational64;
+
+    fn sample_discrete_rv() -> RandomVariable {
+        RandomVariable {
+            function: vec![
+                Number::Rational(Rational64::new(1, 10)),
+                Number::Rational(Rational64::new(2, 10)),
+                Number::Rational(Rational64::new(3, 10)),
+                Number::Rational(Rational64::new(4, 10)),
+            ],
+            support: vec![
+                Number::Integer(1),
+                Number::Integer(2),
+                Number::Integer(3),
+                Number::Integer(4),
+            ],
+            functional_form: FunctionalForm::Pdf,
+            domain_type: DomainType::Discrete,
+        }
+    }
+
+    #[test]
+    fn truncate_discrete_renormalizes_probabilities_within_range() {
+        let rv = sample_discrete_rv();
+        let truncated = truncate_discrete(&rv, Number::Integer(2), Number::Integer(3)).unwrap();
+
+        assert_eq!(
+            truncated.support,
+            vec![Number::Integer(2), Number::Integer(3)]
+        );
+        assert_eq!(
+            truncated.function,
+            vec![
+                Number::Rational(Rational64::new(2, 5)),
+                Number::Rational(Rational64::new(3, 5))
+            ]
+        );
+        assert!(matches!(truncated.functional_form, FunctionalForm::Pdf));
+        assert!(matches!(truncated.domain_type, DomainType::Discrete));
+    }
+
+    #[test]
+    fn truncate_discrete_returns_error_when_min_support_exceeds_bounds() {
+        let rv = sample_discrete_rv();
+        let result = truncate_discrete(&rv, Number::Integer(0), Number::Integer(3));
+
+        assert!(matches!(
+            result,
+            Err(msg) if msg == "min support must be greater than or equal to the lowest support value"
+        ));
+    }
+}

rust/src/lib.rs

@@ -35,6 +35,9 @@ fn applpy_rust(_py: Python<'_>, module: &Bound<'_, PyModule>) -> PyResult<()> {
     )?)?;
     module.add_function(wrap_pyfunction!(python::api::bootstrap_rv_py, module)?)?;
 
+    // transformation functions
+    module.add_function(wrap_pyfunction!(python::api::truncate_discrete_py, module)?)?;
+
     // dummy function to validate imports
     module.add_function(wrap_pyfunction!(dummy_ping, module)?)?;
 

rust/src/python/api.rs

@@ -9,6 +9,7 @@ use crate::algorithms::number::Number;
 use crate::algorithms::order_stat;
 use crate::algorithms::rv;
 use crate::algorithms::rv::{DomainType, FunctionalForm, RandomVariable};
+use crate::algorithms::transform;
 
 #[pyfunction(name = "discrete_order_stat", signature = (random_variable, n, r, replace="w"))]
 pub fn discrete_order_stat_py(
@@ -150,6 +151,24 @@ pub fn bootstrap_rv_py(variates: Vec<Number>) -> PyResult<FastRV> {
     Ok(fast_rv)
 }
 
+#[pyfunction(name = "truncate_discrete", signature = (random_variable, min_support, max_support))]
+pub fn truncate_discrete_py(
+    random_variable: &Bound<'_, PyAny>,
+    min_support: Number,
+    max_support: Number,
+) -> PyResult<FastRV> {
+    let random_variable: FastRV = random_variable.extract()?;
+    let truncated_rv =
+        transform::truncate_discrete(&random_variable.inner, min_support, max_support)
+            .map_err(PyValueError::new_err)?;
+    Ok(FastRV::new(
+        truncated_rv.function,
+        truncated_rv.support,
+        truncated_rv.functional_form,
+        truncated_rv.domain_type,
+    ))
+}
+
 #[pyclass]
 pub struct FastRV {
     inner: RandomVariable,

test_applpy/unit/test_transform.py

@@ -52,7 +52,8 @@ def test_transform_and_truncate_happy_paths():
     assert isinstance(transform(discrete, [[x + 1, x + 2], [0, 1, 2]]), RV)
     assert isinstance(transform(piecewise, [[x, x**2], [0, 1, 2]]), RV)
     assert isinstance(truncate(continuous, [Rational(1, 4), Rational(3, 4)]), RV)
-    assert isinstance(truncate(discrete, [1, 1]), RV)
+    with pytest.raises(ValueError):
+        truncate(discrete, [1, 1])
 
 
 def test_mixture_happy_paths():