trishula 0.0.5

The modern PEG parser combinator for python

# Trishula - The modern parser combinator for Python 3

Trishula is a parser combinator library extended PEG syntaxes, inspired by Parsimmon(ES) and boost::spirit::qi(C++).

Trishula supports python version >= 3.7.0

## Examples

```python
grammar = (
Value("aaa")
>> (Value("bbb") | Value("ccc"))
>> (+Value("eee") >= (lambda x: "modified"))
>> -Value("f")
>> Value("g")
>> Regexp(r"a+")
>> Not(Value("hhh"))
)
# This works
print(vars(Parser().parse(grammar, "aaaccceeeeeeeeeeeefgaaa")))

# {
# 'status': <Status.SUCCEED: 1>,
# 'index': 23,
# 'value': [[[[[['aaa', 'ccc'], 'modified'], 'f'], 'g'], 'aaa'], None]
# }
```

## Description

Grammers can be defined by **Value** and **Regexp** primitive and operators. Below we describe operators.

## Operators

As mentioned above, Trishula uses many operator overloads to make definition of parsers be easier.

| operator | result |
----|----
| >> | Sequence |
| \| | OrderedChoise |
| ~ | ZeroOrMore |
| + | OneOrMore |
| - | Optional |
| >= | Map |
| @ | NamedParser |

and we have classes named **Not** and **And**, which are made for prediction.


## Recursion

Trishula supports recursion with `Ref`. Recursion can be written like this:

```python
def grammar():
return (
(Value("[]") >= (lambda x: [])) |
((
Value("[") >>
Ref(grammar) >>
Value("]")
) >= (lambda x: [x[0][1]]))
)

def main():
result = Parser().parse(grammar(), "[[[]]]")
print(vars(result))
# => {'status': <Status.SUCCEED: 1>, 'index': 6, 'value': [[[]]]}
```

Be aware that `Ref` executes function only once so that parser can be memorized.

## Namespace

Namespace is one of Trishula's powerful features. You can name your parser and retrieve values with map (as dict).

Usage is simple. Mark the parser with `@` operator like `parser @ "name"` and surround with `Namespace(parser)`. Then you can grab values with `Namespace(parser) => fn`. fn is a callable taking dict type and returns new value.

```python
import trishula as T


def main():
grammar = T.Namespace(
T.Value("[") >> (T.Regexp(r"[0-9]+") >= (float)) @ "value" >> T.Value("]")
) >= (lambda a_dict: a_dict["value"])
result = T.Parser().parse(grammar, "[12345]")
print(vars(result))
# ==> {'status': <Status.SUCCEED: 1>, 'index': 7, 'value': 12345.0, 'namespace': {}}


main()
```

Note that after mapped function called, internal namespace is cleaned up with empty dict.