multi-choices-parser 0.9.50

An efficient incremental parser for multi-choices grammars.

Multi-choices Parser

Overview

Multi-choices Parser is an pure-Python efficient incremental parser for multi-choices grammars. These grammars are composed of lists of choices, where each choice is a literal string and can possibly be empty (grammar form below). This parser is optimized for scenarios where the size of the lists of choices is very large, such as representing entities preceded by a determiner.

Here is the type of grammar handled by this parser:

start: list1 list2 ... listn
list1: choice1_1 | choice1_2 | ... | choice1_k1
list2: choice2_1 | choice2_2 | ... | choice2_k2
...
listm: choicem_1 | choicem_2 | ... | choicem_km

Installation

pip install multi-choices-parser

Features

• Handles large lists of choices efficiently (up to millions of choices).
• Incremental parsing.

Usage

To use the MultiChoicesParser, follow these steps:

1. Initialize the parser with a list of choices.
2. Use the step method to feed characters to the parser.
3. Check the success flag to determine if the parsed string is correct after feeding the End symbol.
4. Reset the parser state using the reset method if needed.

Example

from multi_choices_parser.parser import MultiChoicesParser, end_symb

# Define your list of choices
l = [
    ['the', 'an', "a", ""],
    ['orange', 'apple', 'banana']
]

# Initialize the parser
p = MultiChoicesParser(l)

# Parse a string (don't forget to add the End symbol)
for i, c in enumerate(tuple("apple") + (end_symb, )):
    print('Step %s' % i)
    print("Authorized characters:", sorted(p.next()))
    print('Adding character:', c)
    p.step(c)
    print("State: Finished=%s, Success=%s" % (p.finished, p.success))
    print()

Example Output

Step 0
Authorized characters: ['a', 'b', 'o', 't']
Adding character: a
State: Finished=False, Success=False

Step 1
Authorized characters: ['a', 'b', 'n', 'o', 'p']
Adding character: p
State: Finished=False, Success=False

Step 2
Authorized characters: ['p']
Adding character: p
State: Finished=False, Success=False

Step 3
Authorized characters: ['l']
Adding character: l
State: Finished=False, Success=False

Step 4
Authorized characters: ['e']
Adding character: e
State: Finished=False, Success=False

Step 5
Authorized characters: [End]
Adding character: End
State: Finished=True, Success=True

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any queries or bug reports, please open an issue on the GitHub repository :)