This commit introduces the BNF for the Myc language, along with its core
semantics, data types, and evaluation logic. It also details the macro
system and provides an overview of the standard library. This document
serves as a foundational context for LLMs to understand and generate Myc
code.
Introduce new indicators for Simple Moving Average (SMA) and Weighted
Moving Average (WMA), along with their Hull Moving Average (HMA)
derivative.
Also refactors series implementation to use `RefCell` for interior
mutability and adds `SeriesMember` trait for better dynamic series
access. Updates `soa_series.myc` example to reflect new series creation
and push syntax.
Introduces type specialization for reactive pipeline nodes and their
data buffers. This eliminates the overhead of generic `Value` enums and
`SharedValueSeries` when dealing with known scalar or record types.
The architecture shifts buffer instantiation from the VM to the runtime
(RTL), leveraging type information from the AST. A new `out_type` field
is added to `BoundKind::Pipe` to store the static type of the pipeline's
output, determined by the type checker.
This enables the creation of specialized `RingBuffer<T>` and
`SharedRecordSeries` (for Struct-of-Arrays layout) when the output type
is known, significantly improving memory usage and processing speed for
time-series data, especially in financial analysis.
- Use a `make-random` factory to create isolated random number
generators.
- Remove the global `prng` from the `Environment`.
- Ensure `make-random` can be called with or without a seed.
Implements the `create-ticker` function, which allows for the creation
of a ticker stream based on a provided condition closure. This function
is crucial for synchronizing pipeline execution based on specific events
or conditions.
Adds support for pipelines, allowing streams to be chained together and
transformed.
This includes new types for `PipeStream` and `SourceAdapter`, along with
modifications
to the `Environment` to manage pipeline execution. A new example
`pipeline.myc`
demonstrates its usage.
Introduces `StaticType::Optional` to represent values that can be either
of a specific type `T` or `Void`. This is crucial for handling
situations in filter pipes where an expression might not always produce
a value.
The type checker now correctly deduces and propagates this `Optional`
type, and the pipeline operator (`pipe`) is updated to unwrap
`Optional(T)` results, yielding `T`. This ensures that the type system
accurately reflects the potential absence of values in intermediate
pipeline steps.
Also includes a minor rename in the tuple-struct example from `pipe` to
`p` for clarity, and registers the `streams` module.
Introduces `SharedValueSeries` for read-only access to generic `Value`
buffers, and `PipelineNode` which combines an `ObservableStream` with a
`Series` view. This is a foundational step for implementing the `pipe`
operator.
Introduce a new field to `Environment` to store a list of pipeline
generator functions.
Add a `run_pipeline` method to `Environment` that iterates through and
executes all registered generators until they are exhausted.
Implement `ObservableStream` trait for `RootStream` and `PipeStream`.
Add a `StreamNode` wrapper for `ObservableStream` to be used as a script
object.
Register `create-random-ohlc` as a native function that creates a
`RootStream`, sets up a OHLC record layout, and registers a stateful
generator closure in the environment's pipeline generators.
Introduces the streams module, defining core reactive primitives like
Signal,
Stream, Observer, RootStream, and PipeStream. This module lays the
groundwork
for building reactive data processing pipelines.
Includes new types for managing reactive data flow and a basic test
suite to
verify the functionality of RootStream and PipeStream.
This commit introduces the `Series` trait to provide a unified interface
for accessing indexed data across different series types (RecordSeries,
SeriesView, and future SharedSeries). This simplifies the VM's indexer
logic and lays the groundwork for the dual series architecture.
This commit introduces the `get_record` method to `RecordSeries`,
allowing for the dynamic reconstruction of a full record from its
constituent fields at a given index. This enables idiomatic access to
series data using indexing like `(my_ticks 0)`.
The `push-series` function has also been updated to correctly handle the
structure of records when pushing data into a `RecordSeries`.
Introduces a new RTL module for handling series data, enabling efficient
storage and retrieval of time-series data in a Struct-of-Arrays (SoA)
format.
Includes `SeriesView`, a zero-copy wrapper that provides a fast,
read-only interface to individual columns within a `RecordSeries`,
optimizing performance for data access in the VM.
Registers new native functions `create-series` and `push-series` for
managing series data.
Introduce the `series` module to handle time-series data storage and
manipulation. This module includes:
- `RingBuffer`: An efficient ring buffer for storing time-series data
with a configurable lookback.
- `ScalarSeries`: A type-safe series for primitive scalar values (f64,
i64, bool) optimized for performance.
- `ValueSeries`: A fallback series for non-scalar or mixed data types.
- `RecordSeries`: A "Struct of Arrays" implementation for records,
splitting fields into parallel series for efficient access.
This commit introduces a new prelude file that defines the `while` macro
and registers it during environment bootstrapping. The `again` macro has
been updated to accept multiple arguments for its recursive call, and
several examples have been adjusted to reflect this change.
Additionally, the `MacroRegistry` in the compiler is now cloneable and
can be moved out of the `MacroExpander`.
Introduces a new `RecordLayout` system for efficient and type-safe
record handling.
Key changes:
- `RecordLayout` struct with `O(1)` field lookup using FMap
optimization.
- Field accessors (`.name`) are now first-class callable values.
- Parser recognizes dot-prefixed identifiers as field accessors.
- Binder and TypeChecker handle field accessors.
- Optimizer transforms field accessor calls into specialized `GetField`
nodes.
- VM executes `GetField` efficiently by directly accessing record
values.
- Adds a new `records.myc` example showcasing record features.
- Improves comparison logic for records to use pointer equality for
layout.
Refine the type checker to correctly handle destructuring of various
collection types (tuples, vectors, matrices, lists, records).
Additionally, prevent implicit type coercion for function arguments,
ensuring that only tuples are passed to functions expecting tuple
arguments. This avoids unexpected behavior where vectors or matrices
might be treated as tuples.
Add a new example file demonstrating pattern matching and destructuring
rules.
Introduces `register_native` for direct registration of `NativeFunction`
and `register_native_fn` for convenience from closures. The
`Environment::run`
method is removed, and its functionality is now handled by
`Environment::instantiate`,
which packages the linked AST into an invokable `NativeFunction`. This
streamlines
the execution path and better separates compilation/linking from runtime
execution.
Move `Purity` enum definition from `optimizer.rs` to `types.rs` and
create a `NativeFunction` struct to hold the function and its purity.
Update `Value::Function` to store `Rc<NativeFunction>` and
`Value::make_function`
helper to simplify creation.
This change allows tracking the purity of native functions, which is
useful
for optimization and static analysis.
Move the `register_math` function and its associated logic into a new
`math` module. This improves organization and separation of concerns
within the RTL AST.
Replaces the custom LCG implementation with `fastrand` for improved
random number generation.
This commit introduces the `fastrand` crate to the project for robust
and efficient pseudo-random number generation.
The `Environment` struct now includes a `prng` field to hold the random
number generator.
The built-in `random` function now utilizes this PRNG for generating
floating-point random numbers.
A new `seed!` function is added to allow users to seed the PRNG for
deterministic random sequences.
This change enhances the randomness capabilities of the language, making
it suitable for simulations and other applications requiring good
quality random numbers.
Register `abs`, `min`, `max`, and `random` functions to the environment.
This also includes adding `PartialOrd` implementation for `Value` to
support comparisons for `min` and `max`.
This commit introduces the `now()` built-in function, which returns the
current timestamp in milliseconds. It also includes an integration test
to ensure that `now()` is not constant-folded during AST dumping,
verifying its non-deterministic nature.
Refactor the optimizer to use a Purity enum instead of a boolean for
tracking function purity. This allows for a more granular representation
of purity:
- `Impure`: Functions with side effects.
- `SideEffectFree`: Functions without side effects but may not be
deterministic (e.g., `now()`, `random()`).
- `Pure`: Functions without side effects and are deterministic.
This change enhances the optimizer's ability to perform more aggressive
optimizations by accurately determining function purity.
This commit introduces purity inference to the compiler's optimizer.
This allows for more aggressive constant folding and dead code
elimination by tracking which functions and global variables
are free of side effects.
Key changes include:
- Added `global_purity` field to `Optimizer` and `Environment`.
- Modified `Optimizer::is_pure` to recursively determine if an
AST node represents a pure computation.
- Introduced `Optimizer::try_fold_pure` to replace the old
`try_fold_intrinsic`, enabling folding of pure function calls
with constant arguments.
- Updated `Environment::register_native` and
`Environment::register_constant`
to optionally record purity.
- Added purity flags to several built-in functions in `core.rs` and
`datetime.rs`.
- A new example `optimizer_purity.myc` demonstrates the new feature.
This commit renames `Map` to `Record` and updates all related AST nodes,
binders, type checkers, and runtime values to reflect this change. This
is a semantic change to better align with common programming language
terminology.
The `Value::List` and `Value::Record` variants have been consolidated
into a single `Value::Tuple` variant. This new variant uses a
`TupleData` struct to store values and an optional `Rc<Vec<Keyword>>`
for keys, allowing it to represent both ordered lists/tuples and
key-value records.
This change simplifies the internal representation and improves
performance by allowing schema sharing for records. It also includes
updates to the compiler, runtime, and tests to reflect the new
structure.
Replaces the use of `BTreeMap` and `HashMap` for maps and records with
`Vec<(Keyword, Value)>` and `Vec<(Keyword, StaticType)>`. This
simplifies the data structure and allows for ordered iteration, which is
important for serialization and comparison.
Also updates the `unpack` function in `vm.rs` to handle records as well
as lists when destructuring.
Introduce `BoundKind::Parameter` to represent function parameters.
Modify `Binder` to correctly handle parameters within lambda
definitions, ensuring they are only defined within function scopes.
Update `LambdaCollector` to register the body of lambdas as templates
for global definitions.
Adjust `Dumper` to accurately represent lambda parameters.
Update `Specializer` and `TCO` to handle the new `BoundKind::Parameter`.
Refactor `Call` and `TailCall` to use a single `args` node, often a
tuple.
Adjust type signatures in RTL to use `StaticType::Tuple` for function
parameters.
Introduces `LambdaCollector` to gather lambda functions and populate the
function registry. This enables the `Specializer` to work with
user-defined functions.
The `Environment` struct is updated to manage the `function_registry`
and `monomorph_cache`, which are essential for the specialization
process.
The `link` method in `Environment` now incorporates lambda collection
and node specialization before applying TCO optimization. This ensures
that lambdas are properly processed and specialized for potential
performance gains.
The `Specializer`'s `new` constructor has been modified to accept and
initialize the `MonoCache` through an `Rc<RefCell<MonoCache>>`. This
allows the cache to be shared across different specialized functions.
Also includes minor refactoring and type adjustments in `specializer.rs`
for better clarity and consistency.
Update the testing section to clarify when warnings should be eliminated
and tests run.
Add the new `specializer` module to the compiler's public API.
Add the `type_registry` module to the `rtl` module's public API.
Boolean literals `true` and `false` are now parsed as identifiers,
matching the behavior of other constants like `NaN`. This change aligns
the AST representation of boolean literals with their runtime constants.
This commit introduces a new module `ast::rtl` to house the standard
runtime library functions for the language. It includes implementations
for arithmetic operators (+, -, *, /, //, %), logical operators (and,
or, xor, not), bitwise shifts (<<, >>), and comparison operators (=, <>,
<, >, <=, >=).
Additionally, a `date` function for parsing datetime strings has been
added. This enhances the language's capability to handle basic
mathematical and logical operations.
Add RTL functions for arithmetic and comparisons
This commit introduces the runtime library (RTL) functions for basic
arithmetic operations, logical/bitwise operations, and comparisons. It
also includes a `date` function for parsing datetime strings.
Integration tests have been updated to cover these new functionalities.
Michael Schimmel