goodmami / pe

Fastest general-purpose parsing library for Python with a familiar API

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Parsing Expressions
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pe is a library for parsing expressions, including parsing expression grammars (PEGs). It aims to join the expressive power of parsing expressions with the familiarity of regular expressions. For example:

>>> import pe
>>> pe.match(r'"-"? [0-9]+', '-38')  # match an integer
<Match object; span=(0, 3), match='-38'>

A grammar can be used for more complicated or recursive patterns:

>>> float_parser = pe.compile(r'''
...   Start    <- INTEGER FRACTION? EXPONENT?
...   INTEGER  <- "-"? ("0" / [1-9] [0-9]*)
...   FRACTION <- "." [0-9]+
...   EXPONENT <- [Ee] [-+]? [0-9]+
... ''')
>>> float_parser.match('6.02e23')
<Match object; span=(0, 7), match='6.02e23'>

Quick Links

Features and Goals

  • Grammar notation is backward-compatible with standard PEG with few extensions
  • A specification describes the semantic effect of parsing (e.g., for mapping expressions to function calls)
  • Parsers are often faster than other parsing libraries, sometimes by a lot; see the benchmarks
  • The API is intuitive and familiar; it's modeled on the standard API's re module
  • Grammar definitions and parser implementations are separate

Syntax Overview

pe is backward compatible with standard PEG syntax and it is conservative with extensions.

# terminals
.            # any single character
"abc"        # string literal
'abc'        # string literal
[abc]        # character class

# repeating expressions
e            # exactly one
e?           # zero or one (optional)
e*           # zero or more
e+           # one or more

# combining expressions
e1 e2        # sequence of e1 and e2
e1 / e2      # ordered choice of e1 and e2
(e)          # subexpression

# lookahead
&e           # positive lookahead
!e           # negative lookahead

# (extension) capture substring
~e           # result of e is matched substring

# (extension) binding
name:e       # bind result of e to 'name'

# grammars
Name <- ...  # define a rule named 'Name'
... <- Name  # refer to rule named 'Name'

# (extension) auto-ignore
X <  e1 e2   # define a rule 'X' with auto-ignore

Matching Inputs with Parsing Expressions

When a parsing expression matches an input, it returns a Match object, which is similar to those of Python's re module for regular expressions. By default, nothing is captured, but the capture operator (~) emits the substring of the matching expression, similar to regular expression's capturing groups:

>>> e = pe.compile(r'[0-9] [.] [0-9]')
>>> m = e.match('1.4')
>>> m.group()
'1.4'
>>> m.groups()
()
>>> e = pe.compile(r'~([0-9] [.] [0-9])')
>>> m = e.match('1.4')
>>> m.group()
'1.4'
>>> m.groups()
('1.4',)

Value Bindings

A value binding extracts the emitted values of a match and associates it with a name that is made available in the Match.groupdict() dictionary. This is similar to named-capture groups in regular expressions, except that it extracts the emitted values and not the substring of the bound expression.

>>> e = pe.compile(r'~[0-9] x:(~[.]) ~[0-9]')
>>> m = e.match('1.4')
>>> m.groups()
('1', '4')
>>> m.groupdict()
{'x': '.'}

Actions

Actions (also called "semantic actions") are callables that transform parse results. When an arbitrary function is given, it is called as follows:

func(*match.groups(), **match.groupdict())

The result of this function call becomes the only emitted value going forward and all bound values are cleared.

For more control, pe provides the Action class and a number of subclasses for various use-cases. These actions have access to more information about a parse result and more control over the match. For example, the Pack class takes a function and calls it with the emitted values packed into a list:

func(match.groups())

And the Join class joins all emitted strings with a separator:

func(sep.join(match.groups()), **match.groupdict())

Auto-ignore

The grammar can be defined such that some rules ignore occurrences of a pattern between sequence items. Most commonly, this is used to ignore whitespace, so the default ignore pattern is simple whitespace.

>>> pe.match("X <- 'a' 'b'", "a b")  # regular rule does not match
>>> pe.match("X <  'a' 'b'", "a b")  # auto-ignore rule matches
<Match object; span=(0, 3), match='a b'>

This feature can help to make grammars more readable.

Example

Here is one way to parse a list of comma-separated integers:

>>> from pe.actions import Pack
>>> p = pe.compile(
...   r'''
...     Start  <- "[" Values? "]"
...     Values <- Int ("," Int)*
...     Int    <  ~( "-"? ("0" / [1-9] [0-9]*) )
...   ''',
...   actions={'Values': Pack(list), 'Int': int})
>>> m = p.match('[5, 10, -15]')
>>> m.value()
[5, 10, -15]

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Fastest general-purpose parsing library for Python with a familiar API

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