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Mini APL in Python Language Experiment. Uses numpy arrays with Python list fallback.

Project description

marple

Mini APL in Python Language Experiment. A first-generation APL interpreter with the rank operator, namespaces, and Python FFI. Uses APL arrays (shape + flat data) as the internal data model. Inspired by Rodrigo Girão Serrão's RGSPL and Iverson's Dictionary of APL.

Documentation

More extensive documentation is available here

Features

  • 40+ primitive functions — arithmetic, comparison, boolean, structural, circular/trig, match/tally, membership
  • Operators — reduce (/), scan (\), inner product (f.g), outer product (∘.f), rank ()
  • Rank operator(f⍤k) applies any function along any axis: (⌽⍤1) M reverses rows, (+/⍤1) M sums rows
  • From function () — leading-axis selection that composes with rank
  • Direct functions (dfns){⍵} syntax with guards, recursion via , default
  • Symbol table-aware parser — named functions work without parens: double ⍳5
  • Namespaces$::str::upper 'hello', #import directives, :: separator
  • I-beam operator () — Python FFI for extending MARPLE with Python code
  • Error handling⎕EA (execute alternate), ⎕EN (error number), ⎕DM (diagnostic message), ⎕SIGNAL
  • System variables⎕IO, ⎕CT, ⎕PP, ⎕RL, ⎕A, ⎕D, ⎕TS, ⎕WSID, ⎕UCS, ⎕NC, ⎕EX
  • Matrices — reshape, transpose, bracket indexing (M[r;c] any rank), matrix inverse ()
  • Numpy backend — automatic vectorization (73x faster for element-wise, 380x for outer product), with pure-Python fallback
  • Web REPL — browser-based REPL with language bar, workspace panel, session history, multi-line input
  • Terminal REPL — live backtick→glyph input, workspace save/load, APL-style formatting
  • Script runnermarple script.marple with session transcript output
  • 448 tests (412 interpreter + 36 Playwright), pyright strict

Quick start

Install uv if you don't have it, then:

uv venv
source .venv/bin/activate      # on Windows: .venv\Scripts\activate
uv pip install marple-lang
marple
MARPLE v0.3.0 - Mini APL in Python
CLEAR WS

      ⍳5
1 2 3 4 5
      +/⍳100
5050
      fact←{⍵≤1:1⋄⍵×∇ ⍵-1}
      fact 10
3628800
      double←{⍵+⍵}
      double ⍳5
2 4 6 8 10
      M←3 4⍴⍳12
      (⌽⍤1) M
 4  3  2  1
 8  7  6  5
12 11 10  9
      $::str::upper 'hello'
HELLO

Web REPL

python -m marple.web.server

Open http://localhost:8888/ in your browser. Features: clickable language bar, workspace panel, session history (up/down arrows), multi-line input (Shift+Enter).

Running scripts

marple examples/01_primitives.marple          # run and display
marple examples/01_primitives.marple > out.txt  # capture session transcript

Four demo scripts are included in examples/:

  • 01_primitives.marple — arithmetic, vectors, matrices, reduce, products
  • 02_dfns.marple — user functions, guards, recursion, rank operator
  • 03_namespaces.marple — system library, imports, file I/O, i-beams
  • 04_errors.marple — ea/en error handling, error codes

APL character input

If you have a Dyalog APL keyboard layout installed (e.g. via setxkbmap with grp:win_switch), you can use the Win key to type APL glyphs directly.

Alternatively, type APL glyphs using backtick prefixes — they appear immediately as you type:

Key Glyph Key Glyph Key Glyph Key Glyph
`r `i `l `w
`a `V `x `c
`- × `= ÷ `< `>
`/ `o `* `2 ¯
`q `Q `g `G
`t `y `n `N
`J `I `j `D
`B

System commands

Command Action
)off Exit
)clear Clear workspace
)wsid [name] Show or set workspace ID
)save [name] Save workspace (sets WSID if name given)
)load name Load workspace
)lib List saved workspaces
)fns [ns] List defined functions (optionally in namespace)
)vars List defined variables

Development

pip install -e .[test]
pytest
pyright src/

To run without numpy (pure-Python mode):

MARPLE_BACKEND=none pytest

Architecture

Module Purpose
arraymodel.py APLArray(shape, data) — the core data structure
backend.py Numpy/CuPy/ulab detection with pure-Python fallback
tokenizer.py Lexer for APL glyphs, numbers, strings, qualified names
parser.py Right-to-left recursive descent with symbol table
interpreter.py Tree-walking evaluator with dfn closures
functions.py Scalar functions with pervasion (numpy-accelerated)
structural.py Shape-manipulating and indexing functions
cells.py Cell decomposition and reassembly for the rank operator
namespace.py Hierarchical namespace resolution and system workspace
errors.py APL error classes with numeric codes
repl.py Interactive read-eval-print loop
script.py Script runner with session transcript output
terminal.py Raw terminal input with live glyph translation
glyphs.py Backtick → APL character mapping
workspace.py Directory-based workspace persistence
stdlib/ Standard library: string, I/O, and error handling

References

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