schala/schala-lang/language/src/schala.rs

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use schala_repl::{
ComputationRequest, ComputationResponse, GlobalOutputStats, LangMetaRequest, LangMetaResponse,
ProgrammingLanguageInterface,
};
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use stopwatch::Stopwatch;
use crate::{
error::SchalaError, parsing, reduced_ir, symbol_table, tokenizing, tree_walk_eval, type_inference,
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};
/// All the state necessary to parse and execute a Schala program are stored in this struct.
pub struct Schala<'a> {
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/// Holds a reference to the original source code, parsed into line and character
source_reference: SourceReference,
//state: eval::State<'static>,
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/// Keeps track of symbols and scopes
symbol_table: symbol_table::SymbolTable,
/// Contains information for type-checking
type_context: type_inference::TypeContext,
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/// Schala Parser
active_parser: parsing::Parser,
/// Execution state for AST-walking interpreter
eval_state: tree_walk_eval::State<'a>,
}
/*
impl Schala {
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//TODO implement documentation for language items
/*
fn handle_docs(&self, source: String) -> LangMetaResponse {
LangMetaResponse::Docs {
doc_string: format!("Schala item `{}` : <<Schala-lang documentation not yet implemented>>", source)
}
}
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*/
}
*/
impl<'a> Schala<'a> {
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/// Creates a new Schala environment *without* any prelude.
fn new_blank_env() -> Schala<'a> {
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Schala {
source_reference: SourceReference::new(),
symbol_table: symbol_table::SymbolTable::new(),
type_context: type_inference::TypeContext::new(),
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active_parser: parsing::Parser::new(),
eval_state: tree_walk_eval::State::new(),
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}
}
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/// Creates a new Schala environment with the standard prelude, which is defined as ordinary
/// Schala code in the file `prelude.schala`
#[allow(clippy::new_without_default)]
pub fn new() -> Schala<'a> {
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let prelude = include_str!("../source-files/prelude.schala");
let mut env = Schala::new_blank_env();
let response = env.run_pipeline(prelude);
if let Err(err) = response {
panic!("Error in prelude, panicking: {}", err.display());
}
env
}
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/// This is where the actual action of interpreting/compilation happens.
/// Note: this should eventually use a query-based system for parallelization, cf.
/// https://rustc-dev-guide.rust-lang.org/overview.html
fn run_pipeline(&mut self, source: &str) -> Result<String, SchalaError> {
// 1st stage - tokenization
// TODO tokenize should return its own error type
let tokens = tokenizing::tokenize(source);
if let Some(err) = SchalaError::from_tokens(&tokens) {
return Err(err);
}
//2nd stage - parsing
self.active_parser.add_new_tokens(tokens);
let ast = self
.active_parser
.parse()
.map_err(|err| SchalaError::from_parse_error(err, &self.source_reference))?;
//Perform all symbol table work
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self.symbol_table
.process_ast(&ast, &mut self.type_context)
.map_err(SchalaError::from_symbol_table)?;
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// Typechecking
// TODO typechecking not working
//let _overall_type = self.type_context.typecheck(&ast).map_err(SchalaError::from_type_error);
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let reduced_ir = reduced_ir::reduce(&ast, &self.symbol_table, &self.type_context);
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let evaluation_outputs = self.eval_state.evaluate(reduced_ir, &self.type_context, true);
let text_output: Result<Vec<String>, String> = evaluation_outputs.into_iter().collect();
let text_output: Result<Vec<String>, SchalaError> =
text_output.map_err(|err| SchalaError::from_string(err, Stage::Evaluation));
let eval_output: String =
text_output.map(|v| Iterator::intersperse(v.into_iter(), "\n".to_owned()).collect())?;
Ok(eval_output)
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}
}
/// Represents lines of source code
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pub(crate) struct SourceReference {
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lines: Option<Vec<String>>,
}
impl SourceReference {
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fn new() -> SourceReference {
SourceReference { lines: None }
}
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fn load_new_source(&mut self, source: &str) {
//TODO this is a lot of heap allocations - maybe there's a way to make it more efficient?
self.lines = Some(source.lines().map(|s| s.to_string()).collect());
}
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pub fn get_line(&self, line: usize) -> String {
self.lines
.as_ref()
.and_then(|x| x.get(line).map(|s| s.to_string()))
.unwrap_or_else(|| "NO LINE FOUND".to_string())
}
}
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#[allow(dead_code)]
#[derive(Clone, Copy, Debug)]
pub(crate) enum Stage {
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Tokenizing,
Parsing,
Symbols,
ScopeResolution,
Typechecking,
AstReduction,
Evaluation,
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}
fn stage_names() -> Vec<&'static str> {
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vec!["tokenizing", "parsing", "symbol-table", "typechecking", "ast-reduction", "ast-walking-evaluation"]
}
impl<'a> ProgrammingLanguageInterface for Schala<'a> {
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//TODO flesh out Config
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type Config = ();
fn language_name() -> String {
"Schala".to_owned()
}
fn source_file_suffix() -> String {
"schala".to_owned()
}
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fn run_computation(&mut self, request: ComputationRequest<Self::Config>) -> ComputationResponse {
let ComputationRequest { source, debug_requests: _, config: _ } = request;
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self.source_reference.load_new_source(source);
let sw = Stopwatch::start_new();
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let main_output = self.run_pipeline(source).map_err(|schala_err| schala_err.display());
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let global_output_stats = GlobalOutputStats { total_duration: sw.elapsed(), stage_durations: vec![] };
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ComputationResponse { main_output, global_output_stats, debug_responses: vec![] }
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}
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fn request_meta(&mut self, request: LangMetaRequest) -> LangMetaResponse {
match request {
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LangMetaRequest::StageNames =>
LangMetaResponse::StageNames(stage_names().iter().map(|s| s.to_string()).collect()),
_ => LangMetaResponse::Custom { kind: "not-implemented".to_string(), value: "".to_string() },
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}
}
}