SLR Parser
An implementation of a Simple LR (SLR) parser for educational purposes.
$ slr -g grammar.txt "id * id + id"
AUGMENTED GRAMMAR:
0: E' -> E
1: E -> E + T
2: E -> T
3: T -> T * F
4: T -> F
5: F -> ( E )
6: F -> id
TERMINALS: *, id, +, ), (
NONTERMINALS: E, E', T, F
SYMBOLS: *, E, id, E', +, ), T, F, (
FIRST:
E' = { (, id }
E = { id, ( }
T = { (, id }
F = { id, ( }
FOLLOW:
E' = { $ }
E = { $, +, ) }
T = { *, +, ), $ }
F = { *, +, ), $ }
PARSING TABLE:
+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
| | ACTION | GOTO |
| STATE +--------+--------+--------+--------+--------+--------+--------+--------+--------+
| | * | id | + | ) | ( | $ | E | T | F |
+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
| 0 | | s2 | | | s5 | | 1 | 3 | 4 |
| 1 | | | s6 | | | acc | | | |
| 2 | r6 | | r6 | r6 | | r6 | | | |
| 3 | s7 | | r2 | r2 | | r2 | | | |
| 4 | r4 | | r4 | r4 | | r4 | | | |
| 5 | | s2 | | | s5 | | 8 | 3 | 4 |
| 6 | | s2 | | | s5 | | | 9 | 4 |
| 7 | | s2 | | | s5 | | | | 10 |
| 8 | | | s6 | s11 | | | | | |
| 9 | s7 | | r1 | r1 | | r1 | | | |
| 10 | r3 | | r3 | r3 | | r3 | | | |
| 11 | r5 | | r5 | r5 | | r5 | | | |
+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+------+----------+---------+----------------+----------------------+
| | STACK | SYMBOLS | INPUT | ACTION |
+------+----------+---------+----------------+----------------------+
| (1) | 0 | | id * id + id $ | shift |
| (2) | 0 2 | id | * id + id $ | reduce by F -> id |
| (3) | 0 4 | F | * id + id $ | reduce by T -> F |
| (4) | 0 3 | T | * id + id $ | shift |
| (5) | 0 3 7 | T * | id + id $ | shift |
| (6) | 0 3 7 2 | T * id | + id $ | reduce by F -> id |
| (7) | 0 3 7 10 | T * F | + id $ | reduce by T -> T * F |
| (8) | 0 3 | T | + id $ | reduce by E -> T |
| (9) | 0 1 | E | + id $ | shift |
| (10) | 0 1 6 | E + | id $ | shift |
| (11) | 0 1 6 2 | E + id | $ | reduce by F -> id |
| (12) | 0 1 6 4 | E + F | $ | reduce by T -> F |
| (13) | 0 1 6 9 | E + T | $ | reduce by E -> E + T |
| (14) | 0 1 | E | $ | accept |
+------+----------+---------+----------------+----------------------+
Installation
Requirements
- Python 3.12+
Stable release
To install slr-parser, run this command in your terminal:
pip install slr-parser
This is the preferred method to install slr-parser, as it will always install the most recent stable release.
If you don't have pip installed, this Python installation guide can guide you through the process.
From sources
The sources for slr-parser can be downloaded from the Github repo.
You can either clone the public repository:
git clone git://github.com/Vipul97/slr-parser
Or download the tarball:
curl -OJL https://github.com/Vipul97/slr-parser/tarball/master
Once you have a copy of the source, you can install it with:
python setup.py install
Usage
Grammar Syntax
- Each production rule is written with the head and body separated by
->. - Nonterminals are capitalized (e.g.,
E,T); terminals are not (e.g.,id,+). - Symbols in the body of the production are separated by spaces. For multi-character symbols, spaces are omitted (e.g.,
id). - The choice operator
|can be used to separate alternatives in the body. - The null symbol is represented by
^.
Grammar File
The grammar should be provided in a text file. Here's an example grammar.txt:
E -> E + T
E -> T
T -> T * F | F
F -> ( E )
F -> id
Tokens
The input tokens must be enclosed in double quotes and separated by spaces. For example: "id * id + id".
usage: slr [-h] [-g] grammar_file tokens
positional arguments:
grammar_file Path to the text file used as grammar
tokens Tokens to be parsed, separated by spaces
optional arguments:
-h, --help show this help message and exit
-g Generate automaton
Contributing
Please read CONTRIBUTING.md for details on code of conduct, and the process for submitting pull requests.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Metadata
Release files for slr-parser 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| slr_parser-0.7.0.tar.gz | 13.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| slr_parser-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.4 kB
Release files / slr_parser-0.7.0.tar.gz
| Download URL | slr_parser-0.7.0.tar.gz |
|---|---|
| Size | 13.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9c93e05a9803ac6125771f257df0db5df6fa813c504b4398519e377dfcf26c03
|
|
BLAKE2b-256 checksum How to use checksums |
f1f5a6e5fde0b4810f8ccfd8131e8e2ff5a16f38887ce1b303c7f17d4b1a72cb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 19, 2024.
Transparency logRelease files / slr_parser-0.7.0-py3-none-any.whl
| Download URL | slr_parser-0.7.0-py3-none-any.whl |
|---|---|
| Size | 11.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1882d8d8c8739a75563995e89648994c069cbc421f03df04b9d1e86f5414f547
|
|
BLAKE2b-256 checksum How to use checksums |
16e0e419e62684b74074707fd47211fbf5985c9848dd59a1df57c5fe19e2a6cc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 19, 2024.
Transparency log