📜 Add better documentation across the compiler. #3
@@ -2,15 +2,28 @@ use crate::eval::Value;
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use internment::ArcIntern;
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use std::sync::Arc;
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/// An evaluation environment, which maps variable names to their
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/// current values.
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///
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/// One key difference between `EvalEnvironment` and `HashMap` is that
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/// `EvalEnvironment` uses an `extend` mechanism to add keys, rather
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/// than an `insert`. This difference allows you to add mappings for
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/// a subcomputation while still retaining the old version without those
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/// keys, which is really handy for implementing variable scoping.
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pub struct EvalEnvironment {
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inner: Arc<EvalEnvInternal>,
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}
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pub enum EvalEnvInternal {
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enum EvalEnvInternal {
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Empty,
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Value(ArcIntern<String>, Value, Arc<EvalEnvInternal>),
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}
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/// Errors that can happen when looking up a variable.
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///
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/// This enumeration may be extended in the future, depending on if we
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/// get more subtle with our keys. But for now, this is just a handy
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/// way to make lookup failures be `thiserror::Error`s.
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#[derive(Clone, Debug, PartialEq, thiserror::Error)]
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pub enum LookupError {
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#[error("Could not find variable '{0}' in environment")]
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@@ -24,28 +37,38 @@ impl Default for EvalEnvironment {
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}
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impl EvalEnvironment {
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/// Create a new, empty environment.
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pub fn empty() -> Self {
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EvalEnvironment {
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inner: Arc::new(EvalEnvInternal::Empty),
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}
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}
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/// Extend the environment with a new mapping.
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///
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/// Note the types: the result of this method is a new `EvalEnvironment`,
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/// with its own lifetime, and the original environment is left unmodified.
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pub fn extend(&self, name: ArcIntern<String>, value: Value) -> Self {
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EvalEnvironment {
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inner: Arc::new(EvalEnvInternal::Value(name, value, self.inner.clone())),
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}
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}
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/// Look up a variable in the environment, returning an error if it isn't there.
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pub fn lookup(&self, n: ArcIntern<String>) -> Result<Value, LookupError> {
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self.inner.lookup(n)
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}
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}
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impl EvalEnvInternal {
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/// Look up a variable in the environment, returning an error if it isn't there.
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fn lookup(&self, n: ArcIntern<String>) -> Result<Value, LookupError> {
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match self {
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// if this is an empty dictionary, never mind, couldn't find it
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EvalEnvInternal::Empty => Err(LookupError::CouldNotFind(n)),
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// is this the key we have right here? if yes, return our value
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EvalEnvInternal::Value(name, value, _) if *name == n => Ok(value.clone()),
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// otherwise, recurse up our chain of environments
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EvalEnvInternal::Value(_, _, rest) => rest.lookup(n),
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}
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}
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@@ -70,6 +93,9 @@ mod tests {
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assert!(tester.lookup(arced("baz")).is_err());
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}
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// added this test to make sure that our nesting property works propertly.
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// it's not a big deal now, but it'll be really handy later when we add any
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// kind of variable scoping.
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#[test]
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fn nested() {
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let tester = EvalEnvironment::default();
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@@ -1,5 +1,6 @@
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use crate::eval::value::Value;
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/// Errors that can occur running primitive operations in the evaluators.
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#[derive(Clone, Debug, PartialEq, thiserror::Error)]
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pub enum PrimOpError {
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#[error("Math error (underflow or overflow) computing {0} operator")]
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@@ -14,6 +15,16 @@ pub enum PrimOpError {
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UnknownPrimOp(String),
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}
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// Implementing primitives in an interpreter like this is *super* tedious,
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// and the only way to make it even somewhat manageable is to use macros.
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// This particular macro works for binary operations, and assumes that
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// you've already worked out that the `calculate` call provided two arguments.
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//
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// In those cases, it will rul the operations we know about, and error if
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// it doesn't.
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//
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// This macro then needs to be instantiated for every type, which is super
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// fun.
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macro_rules! run_op {
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($op: ident, $left: expr, $right: expr) => {
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match $op {
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@@ -23,15 +34,15 @@ macro_rules! run_op {
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.map(Into::into),
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"-" => $left
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.checked_sub($right)
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.ok_or(PrimOpError::MathFailure("+"))
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.ok_or(PrimOpError::MathFailure("-"))
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.map(Into::into),
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"*" => $left
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.checked_mul($right)
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.ok_or(PrimOpError::MathFailure("+"))
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.ok_or(PrimOpError::MathFailure("*"))
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.map(Into::into),
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"/" => $left
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.checked_div($right)
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.ok_or(PrimOpError::MathFailure("+"))
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.ok_or(PrimOpError::MathFailure("/"))
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.map(Into::into),
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_ => Err(PrimOpError::UnknownPrimOp($op.to_string())),
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}
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@@ -41,6 +52,8 @@ macro_rules! run_op {
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impl Value {
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fn binary_op(operation: &str, left: &Value, right: &Value) -> Result<Value, PrimOpError> {
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match left {
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// for now we only have one type, but in the future this is
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// going to be very irritating.
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Value::I64(x) => match right {
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Value::I64(y) => run_op!(operation, x, *y),
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// _ => Err(PrimOpError::TypeMismatch(
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@@ -52,6 +65,10 @@ impl Value {
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}
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}
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/// Calculate the result of running the given primitive on the given arguments.
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///
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/// This can cause errors in a whole mess of ways, so be careful about your
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/// inputs.
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pub fn calculate(operation: &str, values: Vec<Value>) -> Result<Value, PrimOpError> {
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if values.len() == 2 {
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Value::binary_op(operation, &values[0], &values[1])
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@@ -1,5 +1,10 @@
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use std::fmt::Display;
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/// Values in the interpreter.
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///
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/// Yes, this is yet another definition of a structure called `Value`, which
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/// are almost entirely identical. However, it's nice to have them separated
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/// by type so that we don't mix them up.
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#[derive(Clone, Debug, PartialEq)]
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pub enum Value {
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I64(i64),
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