Run rustfmt on schala.rs
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052a2feb23
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@ -1,185 +1,203 @@
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use stopwatch::Stopwatch;
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use schala_repl::{ProgrammingLanguageInterface,
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ComputationRequest, ComputationResponse,
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LangMetaRequest, LangMetaResponse, GlobalOutputStats};
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use crate::{reduced_ast, tokenizing, parsing, eval, typechecking, symbol_table};
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use crate::error::SchalaError;
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use crate::{eval, parsing, reduced_ast, symbol_table, tokenizing, typechecking};
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use schala_repl::{
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ComputationRequest, ComputationResponse, GlobalOutputStats, LangMetaRequest, LangMetaResponse,
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ProgrammingLanguageInterface,
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};
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/// All the state necessary to parse and execute a Schala program are stored in this struct.
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pub struct Schala {
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/// Holds a reference to the original source code, parsed into line and character
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source_reference: SourceReference,
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/// Execution state for AST-walking interpreter
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state: eval::State<'static>,
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/// Keeps track of symbols and scopes
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symbol_table: symbol_table::SymbolTable,
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/// Contains information for type-checking
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type_context: typechecking::TypeContext<'static>,
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/// Schala Parser
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active_parser: parsing::Parser,
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/// Holds a reference to the original source code, parsed into line and character
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source_reference: SourceReference,
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/// Execution state for AST-walking interpreter
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state: eval::State<'static>,
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/// Keeps track of symbols and scopes
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symbol_table: symbol_table::SymbolTable,
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/// Contains information for type-checking
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type_context: typechecking::TypeContext<'static>,
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/// Schala Parser
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active_parser: parsing::Parser,
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}
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impl Schala {
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//TODO implement documentation for language items
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/*
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fn handle_docs(&self, source: String) -> LangMetaResponse {
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LangMetaResponse::Docs {
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doc_string: format!("Schala item `{}` : <<Schala-lang documentation not yet implemented>>", source)
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//TODO implement documentation for language items
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/*
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fn handle_docs(&self, source: String) -> LangMetaResponse {
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LangMetaResponse::Docs {
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doc_string: format!("Schala item `{}` : <<Schala-lang documentation not yet implemented>>", source)
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}
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}
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}
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*/
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*/
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}
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impl Schala {
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/// Creates a new Schala environment *without* any prelude.
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fn new_blank_env() -> Schala {
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Schala {
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source_reference: SourceReference::new(),
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symbol_table: symbol_table::SymbolTable::new(),
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state: eval::State::new(),
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type_context: typechecking::TypeContext::new(),
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active_parser: parsing::Parser::new()
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}
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}
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/// Creates a new Schala environment with the standard prelude, which is defined as ordinary
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/// Schala code in the file `prelude.schala`
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#[allow(clippy::new_without_default)]
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pub fn new() -> Schala {
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let prelude = include_str!("../source-files/prelude.schala");
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let mut env = Schala::new_blank_env();
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let response = env.run_pipeline(prelude);
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if let Err(err) = response {
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panic!("Error in prelude, panicking: {}", err.display());
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}
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env
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}
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/// This is where the actual action of interpreting/compilation happens.
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/// Note: this should eventually use a query-based system for parallelization, cf.
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/// https://rustc-dev-guide.rust-lang.org/overview.html
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fn run_pipeline(&mut self, source: &str) -> Result<String, SchalaError> {
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// 1st stage - tokenization
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// TODO tokenize should return its own error type
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let tokens = tokenizing::tokenize(source);
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if let Some(err) = SchalaError::from_tokens(&tokens) {
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return Err(err)
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/// Creates a new Schala environment *without* any prelude.
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fn new_blank_env() -> Schala {
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Schala {
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source_reference: SourceReference::new(),
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symbol_table: symbol_table::SymbolTable::new(),
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state: eval::State::new(),
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type_context: typechecking::TypeContext::new(),
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active_parser: parsing::Parser::new(),
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}
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}
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//2nd stage - parsing
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self.active_parser.add_new_tokens(tokens);
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let ast = self.active_parser.parse()
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.map_err(|err| SchalaError::from_parse_error(err, &self.source_reference))?;
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/// Creates a new Schala environment with the standard prelude, which is defined as ordinary
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/// Schala code in the file `prelude.schala`
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#[allow(clippy::new_without_default)]
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pub fn new() -> Schala {
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let prelude = include_str!("../source-files/prelude.schala");
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let mut env = Schala::new_blank_env();
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//Perform all symbol table work
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self.symbol_table.process_ast(&ast)
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.map_err(SchalaError::from_symbol_table)?;
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let response = env.run_pipeline(prelude);
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if let Err(err) = response {
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panic!("Error in prelude, panicking: {}", err.display());
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}
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env
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}
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// Typechecking
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// TODO typechecking not working
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let _overall_type = self.type_context.typecheck(&ast)
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.map_err(SchalaError::from_type_error);
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/// This is where the actual action of interpreting/compilation happens.
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/// Note: this should eventually use a query-based system for parallelization, cf.
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/// https://rustc-dev-guide.rust-lang.org/overview.html
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fn run_pipeline(&mut self, source: &str) -> Result<String, SchalaError> {
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// 1st stage - tokenization
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// TODO tokenize should return its own error type
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let tokens = tokenizing::tokenize(source);
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if let Some(err) = SchalaError::from_tokens(&tokens) {
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return Err(err);
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}
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// Reduce AST - TODO this doesn't produce an error yet, but probably should
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let reduced_ast = reduced_ast::reduce(&ast, &self.symbol_table);
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//2nd stage - parsing
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self.active_parser.add_new_tokens(tokens);
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let ast = self
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.active_parser
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.parse()
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.map_err(|err| SchalaError::from_parse_error(err, &self.source_reference))?;
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// Tree-walking evaluator. TODO fix this
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let evaluation_outputs = self.state.evaluate(reduced_ast, true);
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let text_output: Result<Vec<String>, String> = evaluation_outputs
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.into_iter()
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.collect();
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//Perform all symbol table work
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self.symbol_table
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.process_ast(&ast)
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.map_err(SchalaError::from_symbol_table)?;
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let text_output: Result<Vec<String>, SchalaError> = text_output
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.map_err(|err| SchalaError::from_string(err, Stage::Evaluation));
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// Typechecking
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// TODO typechecking not working
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let _overall_type = self
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.type_context
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.typecheck(&ast)
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.map_err(SchalaError::from_type_error);
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let eval_output: String = text_output
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.map(|v| { Iterator::intersperse(v.into_iter(), "\n".to_owned()).collect() })?;
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// Reduce AST - TODO this doesn't produce an error yet, but probably should
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let reduced_ast = reduced_ast::reduce(&ast, &self.symbol_table);
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Ok(eval_output)
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}
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// Tree-walking evaluator. TODO fix this
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let evaluation_outputs = self.state.evaluate(reduced_ast, true);
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let text_output: Result<Vec<String>, String> = evaluation_outputs.into_iter().collect();
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let text_output: Result<Vec<String>, SchalaError> =
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text_output.map_err(|err| SchalaError::from_string(err, Stage::Evaluation));
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let eval_output: String =
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text_output.map(|v| Iterator::intersperse(v.into_iter(), "\n".to_owned()).collect())?;
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Ok(eval_output)
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}
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}
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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>>
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lines: Option<Vec<String>>,
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}
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impl SourceReference {
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fn new() -> SourceReference {
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SourceReference { lines: None }
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}
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fn new() -> SourceReference {
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SourceReference { lines: None }
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}
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fn load_new_source(&mut self, source: &str) {
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//TODO this is a lot of heap allocations - maybe there's a way to make it more efficient?
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self.lines = Some(source.lines().map(|s| s.to_string()).collect()); }
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fn load_new_source(&mut self, source: &str) {
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//TODO this is a lot of heap allocations - maybe there's a way to make it more efficient?
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self.lines = Some(source.lines().map(|s| s.to_string()).collect());
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}
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pub fn get_line(&self, line: usize) -> String {
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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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}
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pub fn get_line(&self, line: usize) -> String {
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self.lines
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.as_ref()
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.and_then(|x| x.get(line).map(|s| s.to_string()))
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.unwrap_or_else(|| "NO LINE FOUND".to_string())
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}
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}
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#[allow(dead_code)]
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#[derive(Clone, Copy, Debug)]
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pub(crate) enum Stage {
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Tokenizing,
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Parsing,
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Symbols,
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ScopeResolution,
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Typechecking,
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AstReduction,
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Evaluation,
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Tokenizing,
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Parsing,
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Symbols,
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ScopeResolution,
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Typechecking,
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AstReduction,
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Evaluation,
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}
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fn stage_names() -> Vec<&'static str> {
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vec![
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"tokenizing",
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"parsing",
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"symbol-table",
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"scope-resolution",
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"typechecking",
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"ast-reduction",
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"ast-walking-evaluation"
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]
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vec![
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"tokenizing",
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"parsing",
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"symbol-table",
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"typechecking",
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"ast-reduction",
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"ast-walking-evaluation",
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]
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}
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impl ProgrammingLanguageInterface for Schala {
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type Config = ();
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fn language_name() -> String {
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"Schala".to_owned()
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}
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fn source_file_suffix() -> String {
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"schala".to_owned()
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}
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fn run_computation(&mut self, request: ComputationRequest<Self::Config>) -> ComputationResponse {
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let ComputationRequest { source, debug_requests: _, config: _ } = request;
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self.source_reference.load_new_source(source);
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let sw = Stopwatch::start_new();
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let main_output = self.run_pipeline(source)
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.map_err(|schala_err| schala_err.display());
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let global_output_stats = GlobalOutputStats {
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total_duration: sw.elapsed(),
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stage_durations: vec![]
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};
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ComputationResponse {
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main_output,
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global_output_stats,
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debug_responses: vec![]
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type Config = ();
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fn language_name() -> String {
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"Schala".to_owned()
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}
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}
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fn request_meta(&mut self, request: LangMetaRequest) -> LangMetaResponse {
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match request {
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LangMetaRequest::StageNames => LangMetaResponse::StageNames(stage_names().iter().map(|s| s.to_string()).collect()),
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_ => LangMetaResponse::Custom { kind: "not-implemented".to_string(), value: "".to_string() }
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fn source_file_suffix() -> String {
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"schala".to_owned()
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}
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fn run_computation(
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&mut self,
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request: ComputationRequest<Self::Config>,
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) -> ComputationResponse {
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let ComputationRequest {
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source,
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debug_requests: _,
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config: _,
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} = request;
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self.source_reference.load_new_source(source);
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let sw = Stopwatch::start_new();
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let main_output = self
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.run_pipeline(source)
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.map_err(|schala_err| schala_err.display());
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let global_output_stats = GlobalOutputStats {
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total_duration: sw.elapsed(),
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stage_durations: vec![],
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};
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ComputationResponse {
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main_output,
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global_output_stats,
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debug_responses: vec![],
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}
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}
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fn request_meta(&mut self, request: LangMetaRequest) -> LangMetaResponse {
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match request {
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LangMetaRequest::StageNames => {
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LangMetaResponse::StageNames(stage_names().iter().map(|s| s.to_string()).collect())
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}
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_ => LangMetaResponse::Custom {
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kind: "not-implemented".to_string(),
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value: "".to_string(),
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},
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}
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}
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}
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}
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