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pylox

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Introduction

This is my Python implementation of an interpreter for the Lox programming language from Robert Nystrom's Crafting Interpreters.

Python?

While the text is implemented in Java and C as its high & low-level implementations, I have no idea how to write either of them! Instead, I'll be using Python for the high-level implementation & eventually Rust for the low-level imeplementation.

Differences From Text

For the sake of fitting within a decently sized text, the fully implemented Lox spec omits features that users of other programming languages may miss. Often these are discussed as notes within a chapter, or presented as challenges at the end of a chapter. Significant difference in this implementation from the text reference are noted below.

Defined by Challenges

  • (Chapter 4): Arbitrarily nested block comments (/* ... */)
  • (Chapter 9): break statements are available for for and while loops

User Choice

  • Division by zero returns NaN (Python's float('nan'))
  • Strings may be defined using either " or '
  • Modulo operator (%)
  • Power operator (^)
  • Integer division operator (\)
  • Both floats and integers are represented
    • Return type from operations follows Python3's semantics
  • Containers
    • array()
  • A basic include header system
    • Supports "stdlib" imports (<header_name>) and path imports ("path/to/file")
    • Recursive include not supported
    • Imported source assumed to be valid code

Additional Built-ins:

Unless otherwise noted, behavior mirrors the similarly named Python function.

General

  • input
  • len
  • ord
  • read_text (via pathlib.Path.read_text)
  • str2num
  • string_array
    • Gives a LoxArray whose contents are equivalent to collections.deque(<some string>)

Math

  • abs
  • ceil
  • divmod
  • floor
  • max
  • min

Regex

For methods whose Python equivalent returns Match objects, a LoxArray is returned. The first value in the array will always correspond to match.group(0); if the pattern contains one or more groups then the array will match the output of match.groups()

  • re_findall
  • re_match
  • re_search
  • re_sub

Stats

  • mean
  • median
  • mode
  • std

Pure lox headers

  • <array_sum>
  • <hello_world>
  • <map>
  • <split_on>