Skip to main content

Swiftlet provides Python bindings for Swiftlet, a high-performance parsing library built in Rust. It accepts an EBNF-style grammar and parses input text into a tree of Tree and Token nodes.

Project description

Swiftlet PyPI Downloads

Swiftlet provides Python bindings for Swiftlet, a high-performance parsing library built in Rust. It accepts an EBNF-style grammar and parses input text into a tree of Tree and Token nodes.

Features

  • Parse context-free grammars from a string or file.
  • Choose the parsing algorithm with earley or clr.
  • Control ambiguity handling with resolve or explicit.
  • Inspect the parse result as Tree and Token objects from Python.
  • Context-aware tokenization support, including parser-guided terminal selection for ambiguous token sets.

Installation

Build and install the package from the swiftlet directory:

pip install swiftlet

Example

from swiftlet import Swiftlet, Transformer

class Calculate(Transformer):
    def start(self, child):
        return child[0]
    
    def expr(self, child):
        return child[0]
    
    def add(self, child):
        return child[0] + child[2]
    
    def sub(self, child):
        return child[0] - child[2]
    
    def mul(self, child):
        return child[0] * child[2]
    
    def div(self, child):
        return child[0] / child[1]
    
    def terms(self, child):
        return child[0]

def main():
    grammar = """
    start: expr
    expr: expr "+" terms -> add
        | expr "-" terms -> sub
        | terms
    terms: terms "*" INT -> mul
        | terms "/" INT -> div
        | INT
    %import (WS, INT)
    %ignore WS
    """

    text = "12 + 10 - 8 * 2 + 4"
    parser = Swiftlet(grammar)
    parsed_text = parser.parse(text)
    
    calculate = Calculate()
    result = calculate(parsed_text)

    parsed_text.pretty_print()
    print("\nResult: ", result)


if __name__ == "__main__":
    main()

Output

start
   add
     sub
       add
         expr
           terms   12
         +
         terms   10
       -
       mul
         terms   8
         *
         2
     +
     terms   4

Result:  10

Usage

Create a parser from grammar text:

from swiftlet import Swiftlet

parser = Swiftlet(
    grammar,
    start="start",
    algorithm="earley",
    ambiguity="resolve",
    debug=False,
)

Create a parser from a grammar file:

from swiftlet import Swiftlet

parser = Swiftlet.from_file("file_name")

Parse text and inspect the returned tree:

tree = parser.parse("42")
print(tree.get_name())
print(tree.get_children()[0].get_children()[0].get_word())

Notes

  • algorithm accepts earley or clr.
  • ambiguity accepts resolve or explicit.
  • parse() returns a Tree on success and raises ValueError or RuntimeError on failure.

For more examples, please check notebooks

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

swiftlet-0.2.0-cp310-abi3-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10+Windows x86-64

swiftlet-0.2.0-cp310-abi3-manylinux_2_34_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10+manylinux: glibc 2.34+ x86-64

swiftlet-0.2.0-cp310-abi3-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.10+macOS 11.0+ ARM64

File details

Details for the file swiftlet-0.2.0-cp310-abi3-win_amd64.whl.

File metadata

  • Download URL: swiftlet-0.2.0-cp310-abi3-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10+, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for swiftlet-0.2.0-cp310-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 e11be7a3e6a4814a745fbf621d4733885ad09d35624171d4c1de53ae152564dc
MD5 5877a8d2d0c563a76187aff2388436e8
BLAKE2b-256 f283d8b33ea78d0267fbf31bdc1c6d5b5df9721f126127985129edcf111b1660

See more details on using hashes here.

Provenance

The following attestation bundles were made for swiftlet-0.2.0-cp310-abi3-win_amd64.whl:

Publisher: python-publish.yml on jmishra01/Swiftlet

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file swiftlet-0.2.0-cp310-abi3-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for swiftlet-0.2.0-cp310-abi3-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 7b74521c76ea390d3d0fc651ae72389da3c0954edb5643e2106804d7ea71edc9
MD5 002fa4b6bf669499df300c2708fef910
BLAKE2b-256 27ecd63600bd5fc786968776b09c9ac2e09652e8d2a30dea2b4e52cc163c245d

See more details on using hashes here.

Provenance

The following attestation bundles were made for swiftlet-0.2.0-cp310-abi3-manylinux_2_34_x86_64.whl:

Publisher: python-publish.yml on jmishra01/Swiftlet

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file swiftlet-0.2.0-cp310-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for swiftlet-0.2.0-cp310-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 778215ad6cbe286312b8e191fec8dd483df0077ab14f68b1a39d97455ddacadc
MD5 98cded77c2f496414a4b872adafe5d7f
BLAKE2b-256 e2c1f111ddb06a5e4f6b06262c22049e363a105772f72e8104776f224c56271d

See more details on using hashes here.

Provenance

The following attestation bundles were made for swiftlet-0.2.0-cp310-abi3-macosx_11_0_arm64.whl:

Publisher: python-publish.yml on jmishra01/Swiftlet

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page