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# These are supported funding model platforms

github: lark-parser
patreon: # Replace with a single Patreon username
open_collective: # Replace with a single Open Collective username
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: # Replace with a single Liberapay username
issuehunt: # Replace with a single IssueHunt username
otechie: # Replace with a single Otechie username
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']

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---
name: Bug report
about: Create a report to help us improve
title: ''
labels: ''
assignees: ''

---

**Describe the bug**

A clear and concise description of what the bug is, and what you expected to happen.

**To Reproduce**

Provide a short script that reproduces the erroneous behavior.

If that is impossible, provide clear steps to reproduce the behavior.

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---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: enhancement
assignees: ''

---

**Suggestion**
Provide a clear and concise description of what the problem is, and what you would like to happen.

**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.

**Additional context**
Add any other context or screenshots about the feature request here.

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---
name: Other
about: For any discussion that doesn't fit the templates
title: ''
labels: ''
assignees: ''

---



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---
name: Question
about: Ask a question about Lark or request help
title: ''
labels: question
assignees: ''

---

**What is your question?**

Try to be accurate and concise.

**If you're having trouble with your code or grammar**

Provide a small script that encapsulates your issue.

Explain what you're trying to do, and what is obstructing your progress.

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name: Python type check
on: [push, pull_request]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v1
- name: Download submodules
run: git submodule update --init --recursive
- name: Set up Python
uses: actions/setup-python@v1
with:
python-version: 3.8
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install mypy
- name: Lint with mypy
run: mypy -p lark-stubs || true

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name: Tests
on: [push, pull_request]

jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [2.7, 3.5, 3.6, 3.7, 3.8, 3.9.0-rc - 3.9, pypy2, pypy3]

steps:
- uses: actions/checkout@v2
- name: Download submodules
run: |
git submodule update --init --recursive
git submodule sync -q
git submodule update --init
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r test-requirements.txt
- name: Run tests
run: |
python -m tests

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__pycache__
*.pyc
*.pyo
/.tox
/lark_parser.egg-info/**
tags
.vscode
.idea
.ropeproject
.cache
.mypy_cache
/dist
/build
docs/_build
docs/examples

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[submodule "tests/test_nearley/nearley"]
path = tests/test_nearley/nearley
url = https://github.com/Hardmath123/nearley

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dist: xenial
language: python
python:
- "2.7"
- "3.4"
- "3.5"
- "3.6"
- "3.7"
- "3.8"
- "3.9-dev"
- "pypy2.7-6.0"
- "pypy3.5-6.0"
install: pip install tox-travis
script:
- tox

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Copyright © 2017 Erez Shinan

Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


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include README.md LICENSE docs/* examples/*.py examples/*.png examples/*.lark tests/*.py tests/*.lark tests/grammars/* tests/test_nearley/*.py tests/test_nearley/grammars/*

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GITMIRROR
=========
# Lark - a parsing toolkit for Python

This repo is a mirror of various repositories that I want to keep track of.
I realized that git, w/ it's inherently dedupability, and the ability to
store many trees in a single repo, that it'd be easy to create a repo that
regularly clones/mirrors other source repos. Not only this, but the
state of the tags and branches can be archived on a daily basis,
consuming very little space.
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

The main reason that I want this is from a supply chain availability
perspective. As a consumer of source, it isn't always guaranteed that
the project you depend upon will continue to exist in the future. It
could also be that older version are removed, etc.
Lark can parse all context-free languages. To put it simply, it means that it is capable of parsing almost any programming language out there, and to some degree most natural languages too.

**Who is it for?**

Quick start
-----------
- **Beginners**: Lark is very friendly for experimentation. It can parse any grammar you throw at it, no matter how complicated or ambiguous, and do so efficiently. It also constructs an annotated parse-tree for you, using only the grammar and an input, and it gives you convienient and flexible tools to process that parse-tree.

1. Update the file `repos.txt` with a list of urls that you want to mirror.
2. Run the script `doupdate.sh` to mirror all the repos.
3. Optionally run `git push --mirror origin` to store the data on the server.
- **Experts**: Lark implements both Earley(SPPF) and LALR(1), and several different lexers, so you can trade-off power and speed, according to your requirements. It also provides a variety of sophisticated features and utilities.

**What can it do?**

Process
-------
- Parse all context-free grammars, and handle any ambiguity gracefully
- Build an annotated parse-tree automagically, no construction code required.
- Provide first-rate performance in terms of both Big-O complexity and measured run-time (considering that this is Python ;)
- Run on every Python interpreter (it's pure-python)
- Generate a stand-alone parser (for LALR(1) grammars)

1. Repo will self update main to get latest repos/code to mirror.
2. Fetch the repos to mirror into their respective date tagged tags/branches.
3. Push the tags/branches to the parent.
4. Repeat
And many more features. Read ahead and find out!

Most importantly, Lark will save you time and prevent you from getting parsing headaches.

### Quick links

- [Documentation @readthedocs](https://lark-parser.readthedocs.io/)
- [Cheatsheet (PDF)](/docs/_static/lark_cheatsheet.pdf)
- [Online IDE (very basic)](https://lark-parser.github.io/lark/ide/app.html)
- [Tutorial](/docs/json_tutorial.md) for writing a JSON parser.
- Blog post: [How to write a DSL with Lark](http://blog.erezsh.com/how-to-write-a-dsl-in-python-with-lark/)
- [Gitter chat](https://gitter.im/lark-parser/Lobby)

### Install Lark

$ pip install lark-parser --upgrade

Lark has no dependencies.

[![Build Status](https://travis-ci.org/lark-parser/lark.svg?branch=master)](https://travis-ci.org/lark-parser/lark)

### Syntax Highlighting

Lark provides syntax highlighting for its grammar files (\*.lark):

- [Sublime Text & TextMate](https://github.com/lark-parser/lark_syntax)
- [vscode](https://github.com/lark-parser/vscode-lark)
- [Intellij & PyCharm](https://github.com/lark-parser/intellij-syntax-highlighting)
- [Vim](https://github.com/lark-parser/vim-lark-syntax)
- [Atom](https://github.com/Alhadis/language-grammars)

### Clones

- [Lerche (Julia)](https://github.com/jamesrhester/Lerche.jl) - an unofficial clone, written entirely in Julia.

### Hello World

Here is a little program to parse "Hello, World!" (Or any other similar phrase):

```python
from lark import Lark

l = Lark('''start: WORD "," WORD "!"

%import common.WORD // imports from terminal library
%ignore " " // Disregard spaces in text
''')

print( l.parse("Hello, World!") )
```

And the output is:

```python
Tree(start, [Token(WORD, 'Hello'), Token(WORD, 'World')])
```

Notice punctuation doesn't appear in the resulting tree. It's automatically filtered away by Lark.

### Fruit flies like bananas

Lark is great at handling ambiguity. Here is the result of parsing the phrase "fruit flies like bananas":

![fruitflies.png](examples/fruitflies.png)

[Read the code here](https://github.com/lark-parser/lark/tree/master/examples/fruitflies.py), and see [more examples here](https://lark-parser.readthedocs.io/en/latest/examples/index.html).


## List of main features

- Builds a parse-tree (AST) automagically, based on the structure of the grammar
- **Earley** parser
- Can parse all context-free grammars
- Full support for ambiguous grammars
- **LALR(1)** parser
- Fast and light, competitive with PLY
- Can generate a stand-alone parser
- **CYK** parser, for highly ambiguous grammars
- **EBNF** grammar
- **Unicode** fully supported
- **Python 2 & 3** compatible
- Automatic line & column tracking
- Standard library of terminals (strings, numbers, names, etc.)
- Import grammars from Nearley.js ([read more](/docs/nearley.md))
- Extensive test suite [![codecov](https://codecov.io/gh/erezsh/lark/branch/master/graph/badge.svg)](https://codecov.io/gh/erezsh/lark)
- MyPy support using type stubs
- And much more!

See the full list of [features here](https://lark-parser.readthedocs.io/en/latest/features.html)


### Comparison to other libraries

#### Performance comparison

Lark is the fastest and lightest (lower is better)

![Run-time Comparison](docs/_static/comparison_runtime.png)

![Memory Usage Comparison](docs/_static/comparison_memory.png)


Check out the [JSON tutorial](/docs/json_tutorial.md#conclusion) for more details on how the comparison was made.

*Note: I really wanted to add PLY to the benchmark, but I couldn't find a working JSON parser anywhere written in PLY. If anyone can point me to one that actually works, I would be happy to add it!*

*Note 2: The parsimonious code has been optimized for this specific test, unlike the other benchmarks (Lark included). Its "real-world" performance may not be as good.*

#### Feature comparison

| Library | Algorithm | Grammar | Builds tree? | Supports ambiguity? | Can handle every CFG? | Line/Column tracking | Generates Stand-alone
|:--------|:----------|:----|:--------|:------------|:------------|:----------|:----------
| **Lark** | Earley/LALR(1) | EBNF | Yes! | Yes! | Yes! | Yes! | Yes! (LALR only) |
| [PLY](http://www.dabeaz.com/ply/) | LALR(1) | BNF | No | No | No | No | No |
| [PyParsing](https://github.com/pyparsing/pyparsing) | PEG | Combinators | No | No | No\* | No | No |
| [Parsley](https://pypi.python.org/pypi/Parsley) | PEG | EBNF | No | No | No\* | No | No |
| [Parsimonious](https://github.com/erikrose/parsimonious) | PEG | EBNF | Yes | No | No\* | No | No |
| [ANTLR](https://github.com/antlr/antlr4) | LL(*) | EBNF | Yes | No | Yes? | Yes | No |


(\* *PEGs cannot handle non-deterministic grammars. Also, according to Wikipedia, it remains unanswered whether PEGs can really parse all deterministic CFGs*)


### Projects using Lark

- [tartiflette](https://github.com/dailymotion/tartiflette) - a GraphQL server by Dailymotion
- [Hypothesis](https://github.com/HypothesisWorks/hypothesis) - Library for property-based testing
- [mappyfile](https://github.com/geographika/mappyfile) - a MapFile parser for working with MapServer configuration
- [synapse](https://github.com/vertexproject/synapse) - an intelligence analysis platform
- [Datacube-core](https://github.com/opendatacube/datacube-core) - Open Data Cube analyses continental scale Earth Observation data through time
- [SPFlow](https://github.com/SPFlow/SPFlow) - Library for Sum-Product Networks
- [Torchani](https://github.com/aiqm/torchani) - Accurate Neural Network Potential on PyTorch
- [Command-Block-Assembly](https://github.com/simon816/Command-Block-Assembly) - An assembly language, and C compiler, for Minecraft commands
- [EQL](https://github.com/endgameinc/eql) - Event Query Language
- [Fabric-SDK-Py](https://github.com/hyperledger/fabric-sdk-py) - Hyperledger fabric SDK with Python 3.x
- [required](https://github.com/shezadkhan137/required) - multi-field validation using docstrings
- [miniwdl](https://github.com/chanzuckerberg/miniwdl) - A static analysis toolkit for the Workflow Description Language
- [pytreeview](https://gitlab.com/parmenti/pytreeview) - a lightweight tree-based grammar explorer
- [harmalysis](https://github.com/napulen/harmalysis) - A language for harmonic analysis and music theory
- [gersemi](https://github.com/BlankSpruce/gersemi) - A CMake code formatter

Using Lark? Send me a message and I'll add your project!

## License

Lark uses the [MIT license](LICENSE).

(The standalone tool is under MPL2)

## Contribute

Lark is currently accepting pull-requests. See [How to develop Lark](/docs/how_to_develop.md)

## Sponsor

If you like Lark, and want to see it grow, please consider [sponsoring us!](https://github.com/sponsors/lark-parser)

## Contact the author

Questions about code are best asked on [gitter](https://gitter.im/lark-parser/Lobby) or in the issues.

For anything else, I can be reached by email at erezshin at gmail com.

-- [Erez](https://github.com/erezsh)

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# Minimal makefile for Sphinx documentation
#

# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
SPHINXPROJ = Lark
SOURCEDIR = .
BUILDDIR = _build

# Put it first so that "make" without argument is like "make help".
help:
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

.PHONY: help Makefile

# Catch-all target: route all unknown targets to Sphinx using the new
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
%: Makefile
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

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<!DOCTYPE html>
<!-- saved from url=(0115)https://web.archive.org/web/20200128172318/http://www.bramvandersanden.com/post/2014/06/shared-packed-parse-forest/ -->
<html lang="en-us">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<link rel="stylesheet" type="text/css" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css">

<body>

<div class="container">

<article class="article" itemscope itemtype="http://schema.org/Article">



<h1 itemprop="name">Shared Packed Parse Forest (SPPF)</h1>



<div class="article-metadata" style="font-size: 80%">

<span class="article-date">
<time datetime="2014-06-27 12:00:00 +0000 UTC" itemprop="datePublished">
Fri, Jun 27, 2014
</time>
</span>




<span class="article-tags">
<i class="fa fa-tags"></i>

<a class="article-tag-link" href="https://web.archive.org/web/20200128172318/http://www.bramvandersanden.com/tags/parsing">parsing</a>,

<a class="article-tag-link" href="https://web.archive.org/web/20200128172318/http://www.bramvandersanden.com/tags/sppf">sppf</a>

</span>






</div>


<div class="article-style" itemprop="articleBody">

<p></p>

<p>In the last decade there has been a lot of interest in generalized parsing techniques. These techniques can be used to generate a working parser for any context-free grammar. This means that we no longer have to massage our grammar to fit into restricted classes such as <em>LL(k)</em> or <em>LR(k)</em>. Supporting all context-free grammars means that grammars can be written in a natural way, and grammars can be combined, since the class of context-free grammars is closed under composition.</p>

<p>One of the consequences of supporting the whole class of context-free grammars is that also ambiguous grammars are supported. In an ambiguous grammar there are sentences in the language that can be derived in multiple ways. Each derivation results in a distinct parse tree. For each additional ambiguity in the input sentence, the number of derivations might grow exponentially. Therefore generalized parsers output a parse forest, rather than a set of the parse trees. In this parse forest, often sharing is used used to reduce the total space required to represent all derivation trees. Nodes which have the same subtree are shared, and nodes are combined which correspond to different derivations of the same substring. A parse forest where sharing is employed is called a shared packed parse forest (SPPF).</p>

<p>This article will describe the SPPF data structure in more detail. More information about the generation of the SPPF using the GLL algorithm can be found in the paper <a href="https://web.archive.org/web/20200128172318/http://dx.doi.org/10.1016/j.scico.2012.03.005">GLL parse-tree generation</a> by E. Scott and A. Johnstone. Right Nulled GLR parsers can also be used to generate an SPPF, which is described in the paper <a href="https://web.archive.org/web/20200128172318/http://doi.acm.org/10.1145/1146809.1146810">Right Nulled GLR Parsers</a> by E. Scott and A. Johnstone.</p>

<p>There are three types of nodes in an SPPF associated with a GLL parser: <em>symbol nodes</em>, <em>packed nodes</em>, and <em>intermediate nodes</em>. In the visualizations symbol nodes are shown as rectangles with rounded corners, packed nodes are shown as circles, or ovals when the label is visualized, and intermediate nodes are shown as rectangles.</p>

<p>Symbol nodes have labels of the form $(x,j,i)$ where $x$ is a terminal, nonterminal, or $\varepsilon$ (i.e. $x \in T \cup N \cup \lbrace \varepsilon \rbrace$), and $0 \leq j \leq i \leq m$ with $m$ being the length of the input sentence. The tuple $(j,i)$ is called the <em>extent</em>, and denotes that the symbol $x$ has been matched on the substring from position $j$ up to position $i$. Here $j$ is called the <em>left extent</em>, and $i$ is called the <em>right extent</em>.</p>

<p>Packed nodes have labels of the form $(t,k)$, where $0 \leq k \leq m$. Here $k$ is called the <em>pivot</em>, and $t$ is of the form $X ::= \alpha \cdot \beta$. The value of $k$ represents that the last symbol of $\alpha$ ends at position $k$ of the input string. Packed nodes are used to represent multiple derivation trees. When multiple derivations are possible with the same extent, starting from the same nonterminal symbol node, a separate packed node is added to the symbol node for each derivation.</p>

<p>Intermediate nodes are used to binarize the SPPF. They are introduced from the left, and group the children of packed nodes in pairs from the left. The binarization ensures that the size of the SPPF is worst-case cubic in the size of the input sentence. The fact that the SPPF is binarized does not mean that each node in the SPPF has at most two children. A symbol node or intermediate node can still have as many packed node children as there are ambiguities starting from it. Intermediate nodes have labels of the form $(t,j,i)$ where $t$ is a grammar slot, and $(j,i)$ is the extent. There are no intermediate nodes of the shape $(A ::= \alpha \cdot, j,i)$, where the grammar pointer of the grammar slot is at the end of the alternate. These grammar slots are present in the form of symbol nodes.</p>

<p>Consider the following grammar:</p>

<p>$\quad S ::= ABCD \quad A ::= a \quad B ::= b \quad C ::= c \quad D ::= d. $</p>

<p>Then given input sentence $abcd$, the the following SPPF will be the result:</p>


<figure>

<img src="sppf_abcd.svg"/>


<figcaption>
<h4>SPPF with intermediate nodes</h4>

</figcaption>

</figure>


<p>Suppose that the intermediate nodes had not been added to the SPPF. Then the nonterminal symbol nodes for $A$, $B$, $C$, and $D$ would have been attached to the nonterminal symbol node $S$:</p>


<figure>

<img src="sppf_abcd_noint.svg"/>


<figcaption>
<h4>SPPF without intermediate nodes</h4>

</figcaption>

</figure>


<p>This example shows how intermediate nodes ensure that the tree is binarized.</p>

<h2 id="adding-cycles">Adding cycles</h2>

<p>Grammars that contain cycles can generate sentences which have infinitely many derivation trees. A context-free grammar is cyclic if there exists a nonterminal $A \in N$ and a derivation $A \overset{+}\Rightarrow A$. Note that a cyclic context-free grammar implies that the context-free grammar is left-recursive, but the converse does not hold. The derivation trees for a cyclic grammar are represented in the finite SPPF by introducing cycles in the graph.</p>

<p>Consider the following cyclic grammar:
$S ::= SS \mid a \mid \varepsilon$.</p>

<p>Given input sentence $a$, there are infinitely many derivations. All these derivations are present in the following SPPF:</p>


<figure>

<img src="sppf_cycle.svg"/>


<figcaption>
<h4>SPPF containing an infinite number of derivations</h4>

</figcaption>

</figure>


<h2 id="ambiguities">Ambiguities</h2>

<p>A parse forest is <em>ambiguous</em> if and only if it contains at least one ambiguity. An ambiguity arises when a symbol node or intermediate node has at least two packed nodes as its children. Such nodes are called <em>ambiguous</em>. Consider for instance the following grammar with input sentence $1+1+1$:
$ E ::= E + E \mid 1 $.</p>

<p>This gives the following SPPF:</p>


<figure>

<img src="sppf_111.svg"/>


<figcaption>
<h4>SPPF containing an ambiguous root node</h4>

</figcaption>

</figure>


<p>In this SPPF, symbol node $(E,0,5)$ has two packed nodes as children. This means that there are at least two different parse trees starting at this node, the parse trees representing derivations $(E+(E+E))$ and $((E+E)+E)$ respectively.</p>

<p>The set of all parse trees present in the SPPF is defined in the following way:</p>

<p>Start at the root node of the SPPF, and walk the tree by choosing one packed node below each visited node, and choosing all the children of a visited packed node in a recursive manner.</p>

<h2 id="structural-properties">Structural Properties</h2>

<p>There are various structural properties that are useful when reasoning about SPPFs in general. At first note that each symbol node $(E,j,i)$ with $E \in T \cup N \cup \lbrace \varepsilon \rbrace$ is unique, so an SPPF does not contain two symbol nodes $(A,k,l)$ and $(B,m,n)$ with $A = B, k = m$, and $l=n$.</p>

<p>Terminal symbol nodes have no children. These nodes represent the leaves of the parse forest. Nonterminal symbol nodes $(A,j,i)$ have packed node children of the form $(A ::= \gamma \cdot, k)$ with $j \leq k \leq i$, and the number of children is not limited to two.</p>

<p>Intermediate nodes $(t,j,i)$ have packed node children with labels of the form $(t,k)$, where $j \leq k \leq i$.</p>

<p>Packed nodes $(t,k)$ have one or two children. The right child is a symbol node $(x,k,i)$ and the left child (if it exists) is a symbol or intermediate node with label $(s,j,k)$, where $j \leq k \leq i$. Packed nodes have always exactly one parent which is a symbol node or intermediate node.</p>

<p>It is useful to observe that the SPPF is a bipartite graph, with on the one hand the set of intermediate and symbol nodes and on the other hand the set of packed nodes. Therefore edges always go from a node of the first type to a node of the second type, or the other way round. As a consequence, cyles in the SPPF are always of even length.</p>

<h2 id="transformation-to-an-abstract-syntax-tree">Transformation to an abstract syntax tree</h2>

<p>In the end, we often want a single abstract syntax tree (AST) when parsing an input sentence. In order to arrive at this AST, we need disambiguation techniques to remove undesired parse trees from the SPPF or avoid the generation of undesired parse trees in the first place. {% cite sanden2014thesis %} describes several SPPF disambiguation filters that remove ambiguities arising in expression grammars. Furthermore a method is described to integrate parse-time filtering in GLL that tries to avoid embedding undesired parse trees in the SPPF.</p>

<p>Of course, other transformation might be needed such as the removal of whitespace and comments from the parse forest.</p>

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API Reference
=============

Lark
----

.. autoclass:: lark.Lark
:members: open, parse, save, load


Using Unicode character classes with ``regex``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Python's builtin ``re`` module has a few persistent known bugs and also won't parse
advanced regex features such as character classes.
With ``pip install lark-parser[regex]``, the ``regex`` module will be
installed alongside lark and can act as a drop-in replacement to ``re``.

Any instance of Lark instantiated with ``regex=True`` will use the ``regex`` module instead of ``re``.

For example, we can use character classes to match PEP-3131 compliant Python identifiers:

::

from lark import Lark
>>> g = Lark(r"""
?start: NAME
NAME: ID_START ID_CONTINUE*
ID_START: /[\p{Lu}\p{Ll}\p{Lt}\p{Lm}\p{Lo}\p{Nl}_]+/
ID_CONTINUE: ID_START | /[\p{Mn}\p{Mc}\p{Nd}\p{Pc}·]+/
""", regex=True)

>>> g.parse('வணக்கம்')
'வணக்கம்'


Tree
----

.. autoclass:: lark.Tree
:members: pretty, find_pred, find_data, iter_subtrees, scan_values,
iter_subtrees_topdown

Token
-----

.. autoclass:: lark.Token

Transformer, Visitor & Interpreter
----------------------------------

See :doc:`visitors`.

ForestVisitor, ForestTransformer, & TreeForestTransformer
-----------------------------------------------------------

See :doc:`forest`.

UnexpectedInput
---------------

.. autoclass:: lark.exceptions.UnexpectedInput
:members: get_context, match_examples

.. autoclass:: lark.exceptions.UnexpectedToken

.. autoclass:: lark.exceptions.UnexpectedCharacters

InteractiveParser
-----------------

.. autoclass:: lark.parsers.lalr_interactive_parser.InteractiveParser
:members: choices, feed_token, copy, pretty, resume_parse, exhaust_lexer, accepts

.. autoclass:: lark.parsers.lalr_interactive_parser.ImmutableInteractiveParser
:members: choices, feed_token, copy, pretty, resume_parse, exhaust_lexer, accepts

+ 185
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docs/conf.py View File

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Lark documentation build configuration file, created by
# sphinx-quickstart on Sun Aug 16 13:09:41 2020.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.

# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
import os
import sys
sys.path.insert(0, os.path.abspath('..'))
autodoc_member_order = 'bysource'


# -- General configuration ------------------------------------------------

# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'

# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.napoleon',
'sphinx.ext.coverage',
'recommonmark',
'sphinx_markdown_tables',
'sphinx_gallery.gen_gallery'
]

# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']

# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = ['.rst', '.md']
source_suffix = {
'.rst': 'restructuredtext',
'.md': 'markdown'
}


# The master toctree document.
master_doc = 'index'

# General information about the project.
project = 'Lark'
copyright = '2020, Erez Shinan'
author = 'Erez Shinan'

# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = ''
# The full version, including alpha/beta/rc tags.
release = ''

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None

# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This patterns also effect to html_static_path and html_extra_path
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']

# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'

# If true, `todo` and `todoList` produce output, else they produce nothing.
todo_include_todos = False


# -- Options for HTML output ----------------------------------------------

# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'

# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
# html_theme_options = {}

# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']

# Custom sidebar templates, must be a dictionary that maps document names
# to template names.
#
# This is required for the alabaster theme
# refs: http://alabaster.readthedocs.io/en/latest/installation.html#sidebars
html_sidebars = {
'**': [
'relations.html', # needs 'show_related': True theme option to display
'searchbox.html',
]
}


# -- Options for HTMLHelp output ------------------------------------------

# Output file base name for HTML help builder.
htmlhelp_basename = 'Larkdoc'


# -- Options for LaTeX output ---------------------------------------------

latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#
# 'papersize': 'letterpaper',

# The font size ('10pt', '11pt' or '12pt').
#
# 'pointsize': '10pt',

# Additional stuff for the LaTeX preamble.
#
# 'preamble': '',

# Latex figure (float) alignment
#
# 'figure_align': 'htbp',
}

# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
(master_doc, 'Lark.tex', 'Lark Documentation',
'Erez Shinan', 'manual'),
]


# -- Options for manual page output ---------------------------------------

# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
(master_doc, 'lark', 'Lark Documentation',
[author], 7)
]


# -- Options for Texinfo output -------------------------------------------

# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
(master_doc, 'Lark', 'Lark Documentation',
author, 'Lark', 'One line description of project.',
'Miscellaneous'),
]

# -- Sphinx gallery config -------------------------------------------

sphinx_gallery_conf = {
'examples_dirs': ['../examples'],
'gallery_dirs': ['examples'],
}

+ 39
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docs/features.md View File

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# Features

## Main Features
- Earley parser, capable of parsing any context-free grammar
- Implements SPPF, for efficient parsing and storing of ambiguous grammars.
- LALR(1) parser, limited in power of expression, but very efficient in space and performance (O(n)).
- Implements a parse-aware lexer that provides a better power of expression than traditional LALR implementations (such as ply).
- EBNF-inspired grammar, with extra features (See: [Grammar Reference](grammar.md))
- Builds a parse-tree (AST) automagically based on the grammar
- Stand-alone parser generator - create a small independent parser to embed in your project.
- Flexible error handling by using an interactive parser interface (LALR only)
- Automatic line & column tracking (for both tokens and matched rules)
- Automatic terminal collision resolution
- Standard library of terminals (strings, numbers, names, etc.)
- Unicode fully supported
- Extensive test suite
- MyPy support using type stubs
- Python 2 & Python 3 compatible
- Pure-Python implementation

[Read more about the parsers](parsers.md)

## Extra features

- Import rules and tokens from other Lark grammars, for code reuse and modularity.
- Support for external regex module ([see here](classes.html#using-unicode-character-classes-with-regex))
- Import grammars from Nearley.js ([read more](nearley.md))
- CYK parser
- Visualize your parse trees as dot or png files ([see_example](https://github.com/lark-parser/lark/blob/master/examples/fruitflies.py))


### Experimental features
- Automatic reconstruction of input from parse-tree (see examples)

### Planned features (not implemented yet)
- Generate code in other languages than Python
- Grammar composition
- LALR(k) parser
- Full regexp-collision support using NFAs

+ 65
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Working with the SPPF
=====================

When parsing with Earley, Lark provides the ``ambiguity='forest'`` option
to obtain the shared packed parse forest (SPPF) produced by the parser as
an alternative to it being automatically converted to a tree.

Lark provides a few tools to facilitate working with the SPPF. Here are some
things to consider when deciding whether or not to use the SPPF.

**Pros**

- Efficient storage of highly ambiguous parses
- Precise handling of ambiguities
- Custom rule prioritizers
- Ability to handle infinite ambiguities
- Directly transform forest -> object instead of forest -> tree -> object

**Cons**

- More complex than working with a tree
- SPPF may contain nodes corresponding to rules generated internally
- Loss of Lark grammar features:

- Rules starting with '_' are not inlined in the SPPF
- Rules starting with '?' are never inlined in the SPPF
- All tokens will appear in the SPPF

SymbolNode
----------

.. autoclass:: lark.parsers.earley_forest.SymbolNode
:members: is_ambiguous, children

PackedNode
----------

.. autoclass:: lark.parsers.earley_forest.PackedNode
:members: children

ForestVisitor
-------------

.. autoclass:: lark.parsers.earley_forest.ForestVisitor
:members: visit, visit_symbol_node_in, visit_symbol_node_out,
visit_packed_node_in, visit_packed_node_out,
visit_token_node, on_cycle, get_cycle_in_path

ForestTransformer
-----------------

.. autoclass:: lark.parsers.earley_forest.ForestTransformer
:members: transform, transform_symbol_node, transform_intermediate_node,
transform_packed_node, transform_token_node

TreeForestTransformer
---------------------

.. autoclass:: lark.parsers.earley_forest.TreeForestTransformer
:members: __default__, __default_token__, __default_ambig__

handles_ambiguity
-----------------

.. autofunction:: lark.parsers.earley_forest.handles_ambiguity

+ 323
- 0
docs/grammar.md View File

@@ -0,0 +1,323 @@
# Grammar Reference

## Definitions

A **grammar** is a list of rules and terminals, that together define a language.

Terminals define the alphabet of the language, while rules define its structure.

In Lark, a terminal may be a string, a regular expression, or a concatenation of these and other terminals.

Each rule is a list of terminals and rules, whose location and nesting define the structure of the resulting parse-tree.

A **parsing algorithm** is an algorithm that takes a grammar definition and a sequence of symbols (members of the alphabet), and matches the entirety of the sequence by searching for a structure that is allowed by the grammar.

### General Syntax and notes

Grammars in Lark are based on [EBNF](https://en.wikipedia.org/wiki/Extended_Backus–Naur_form) syntax, with several enhancements.

EBNF is basically a short-hand for common BNF patterns.

Optionals are expanded:

```ebnf
a b? c -> (a c | a b c)
```

Repetition is extracted into a recursion:

```ebnf
a: b* -> a: _b_tag
_b_tag: (_b_tag b)?
```

And so on.

Lark grammars are composed of a list of definitions and directives, each on its own line. A definition is either a named rule, or a named terminal, with the following syntax, respectively:

```c
rule: <EBNF EXPRESSION>
| etc.

TERM: <EBNF EXPRESSION> // Rules aren't allowed
```


**Comments** start with `//` and last to the end of the line (C++ style)

Lark begins the parse with the rule 'start', unless specified otherwise in the options.

Names of rules are always in lowercase, while names of terminals are always in uppercase. This distinction has practical effects, for the shape of the generated parse-tree, and the automatic construction of the lexer (aka tokenizer, or scanner).


## Terminals

Terminals are used to match text into symbols. They can be defined as a combination of literals and other terminals.

**Syntax:**

```html
<NAME> [. <priority>] : <literals-and-or-terminals>
```

Terminal names must be uppercase.

Literals can be one of:

* `"string"`
* `/regular expression+/`
* `"case-insensitive string"i`
* `/re with flags/imulx`
* Literal range: `"a".."z"`, `"1".."9"`, etc.

Terminals also support grammar operators, such as `|`, `+`, `*` and `?`.

Terminals are a linear construct, and therefore may not contain themselves (recursion isn't allowed).

### Templates

Templates are expanded when preprocessing the grammar.

Definition syntax:

```ebnf
my_template{param1, param2, ...}: <EBNF EXPRESSION>
```

Use syntax:

```ebnf
some_rule: my_template{arg1, arg2, ...}
```

Example:
```ebnf
_separated{x, sep}: x (sep x)* // Define a sequence of 'x sep x sep x ...'

num_list: "[" _separated{NUMBER, ","} "]" // Will match "[1, 2, 3]" etc.
```

### Priority

Terminals can be assigned priority only when using a lexer (future versions may support Earley's dynamic lexing).

Priority can be either positive or negative. If not specified for a terminal, it defaults to 1.

Highest priority terminals are always matched first.

### Regexp Flags

You can use flags on regexps and strings. For example:

```perl
SELECT: "select"i //# Will ignore case, and match SELECT or Select, etc.
MULTILINE_TEXT: /.+/s
SIGNED_INTEGER: /
[+-]? # the sign
(0|[1-9][0-9]*) # the digits
/x
```

Supported flags are one of: `imslux`. See Python's regex documentation for more details on each one.

Regexps/strings of different flags can only be concatenated in Python 3.6+

#### Notes for when using a lexer:

When using a lexer (standard or contextual), it is the grammar-author's responsibility to make sure the literals don't collide, or that if they do, they are matched in the desired order. Literals are matched according to the following precedence:

1. Highest priority first (priority is specified as: TERM.number: ...)
2. Length of match (for regexps, the longest theoretical match is used)
3. Length of literal / pattern definition
4. Name

**Examples:**
```perl
IF: "if"
INTEGER : /[0-9]+/
INTEGER2 : ("0".."9")+ //# Same as INTEGER
DECIMAL.2: INTEGER? "." INTEGER //# Will be matched before INTEGER
WHITESPACE: (" " | /\t/ )+
SQL_SELECT: "select"i
```

### Regular expressions & Ambiguity

Each terminal is eventually compiled to a regular expression. All the operators and references inside it are mapped to their respective expressions.

For example, in the following grammar, `A1` and `A2`, are equivalent:
```perl
A1: "a" | "b"
A2: /a|b/
```

This means that inside terminals, Lark cannot detect or resolve ambiguity, even when using Earley.

For example, for this grammar:
```perl
start : (A | B)+
A : "a" | "ab"
B : "b"
```
We get this behavior:

```bash
>>> p.parse("ab")
Tree(start, [Token(A, 'a'), Token(B, 'b')])
```

This is happening because Python's regex engine always returns the first matching option.

If you find yourself in this situation, the recommended solution is to use rules instead.

Example:

```python
>>> p = Lark("""start: (a | b)+
... !a: "a" | "ab"
... !b: "b"
... """, ambiguity="explicit")
>>> print(p.parse("ab").pretty())
_ambig
start
a ab
start
a a
b b
```


## Rules

**Syntax:**
```html
<name> : <items-to-match> [-> <alias> ]
| ...
```

Names of rules and aliases are always in lowercase.

Rule definitions can be extended to the next line by using the OR operator (signified by a pipe: `|` ).

An alias is a name for the specific rule alternative. It affects tree construction.


Each item is one of:

* `rule`
* `TERMINAL`
* `"string literal"` or `/regexp literal/`
* `(item item ..)` - Group items
* `[item item ..]` - Maybe. Same as `(item item ..)?`, but when `maybe_placeholders=True`, generates `None` if there is no match.
* `item?` - Zero or one instances of item ("maybe")
* `item*` - Zero or more instances of item
* `item+` - One or more instances of item
* `item ~ n` - Exactly *n* instances of item
* `item ~ n..m` - Between *n* to *m* instances of item (not recommended for wide ranges, due to performance issues)

**Examples:**
```perl
hello_world: "hello" "world"
mul: (mul "*")? number //# Left-recursion is allowed and encouraged!
expr: expr operator expr
| value //# Multi-line, belongs to expr

four_words: word ~ 4
```

### Priority

Rules can be assigned priority only when using Earley (future versions may support LALR as well).

Priority can be either positive or negative. In not specified for a terminal, it's assumed to be 1 (i.e. the default).

<a name="dirs"></a>
## Directives

### %ignore

All occurrences of the terminal will be ignored, and won't be part of the parse.

Using the `%ignore` directive results in a cleaner grammar.

It's especially important for the LALR(1) algorithm, because adding whitespace (or comments, or other extraneous elements) explicitly in the grammar, harms its predictive abilities, which are based on a lookahead of 1.

**Syntax:**
```html
%ignore <TERMINAL>
```
**Examples:**
```perl
%ignore " "

COMMENT: "#" /[^\n]/*
%ignore COMMENT
```
### %import

Allows one to import terminals and rules from lark grammars.

When importing rules, all their dependencies will be imported into a namespace, to avoid collisions. It's not possible to override their dependencies (e.g. like you would when inheriting a class).

**Syntax:**
```html
%import <module>.<TERMINAL>
%import <module>.<rule>
%import <module>.<TERMINAL> -> <NEWTERMINAL>
%import <module>.<rule> -> <newrule>
%import <module> (<TERM1>, <TERM2>, <rule1>, <rule2>)
```

If the module path is absolute, Lark will attempt to load it from the built-in directory (which currently contains `common.lark`, `python.lark`, and `unicode.lark`).

If the module path is relative, such as `.path.to.file`, Lark will attempt to load it from the current working directory. Grammars must have the `.lark` extension.

The rule or terminal can be imported under another name with the `->` syntax.

**Example:**
```perl
%import common.NUMBER

%import .terminals_file (A, B, C)

%import .rules_file.rulea -> ruleb
```

Note that `%ignore` directives cannot be imported. Imported rules will abide by the `%ignore` directives declared in the main grammar.

### %declare

Declare a terminal without defining it. Useful for plugins.

### %override

Override a rule or terminals, affecting all references to it, even in imported grammars.

Useful for implementing an inheritance pattern when importing grammars.

**Example:**
```perl
%import my_grammar (start, number, NUMBER)

// Add hex support to my_grammar
%override number: NUMBER | /0x\w+/
```

### %extend

Extend the definition of a rule or terminal, e.g. add a new option on what it can match, like when separated with `|`.

Useful for splitting up a definition of a complex rule with many different options over multiple files.

Can also be used to implement a plugin system where a core grammar is extended by others.


**Example:**
```perl
%import my_grammar (start, NUMBER)

// Add hex support to my_grammar
%extend NUMBER: /0x\w+/
```

For both `%extend` and `%override`, there is not requirement for a rule/terminal to come from another file, but that is probably the most common usecase

+ 63
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docs/how_to_develop.md View File

@@ -0,0 +1,63 @@
# How to develop Lark - Guide

There are many ways you can help the project:

* Help solve issues
* Improve the documentation
* Write new grammars for Lark's library
* Write a blog post introducing Lark to your audience
* Port Lark to another language
* Help me with code development

If you're interested in taking one of these on, let me know and I will provide more details and assist you in the process.


## Unit Tests

Lark comes with an extensive set of tests. Many of the tests will run several times, once for each parser configuration.

To run the tests, just go to the lark project root, and run the command:
```bash
python -m tests
```

or

```bash
pypy -m tests
```

For a list of supported interpreters, you can consult the `tox.ini` file.

You can also run a single unittest using its class and method name, for example:
```bash
## test_package test_class_name.test_function_name
python -m tests TestLalrStandard.test_lexer_error_recovering
```

### tox

To run all Unit Tests with tox,
install tox and Python 2.7 up to the latest python interpreter supported (consult the file tox.ini).
Then,
run the command `tox` on the root of this project (where the main setup.py file is on).

And, for example,
if you would like to only run the Unit Tests for Python version 2.7,
you can run the command `tox -e py27`

### pytest

You can also run the tests using pytest:

```bash
pytest tests
```

### Using setup.py

Another way to run the tests is using setup.py:

```bash
python setup.py test
```

+ 61
- 0
docs/how_to_use.md View File

@@ -0,0 +1,61 @@
# How To Use Lark - Guide

## Work process

This is the recommended process for working with Lark:

1. Collect or create input samples, that demonstrate key features or behaviors in the language you're trying to parse.

2. Write a grammar. Try to aim for a structure that is intuitive, and in a way that imitates how you would explain your language to a fellow human.

3. Try your grammar in Lark against each input sample. Make sure the resulting parse-trees make sense.

4. Use Lark's grammar features to [shape the tree](tree_construction.md): Get rid of superfluous rules by inlining them, and use aliases when specific cases need clarification.

- You can perform steps 1-4 repeatedly, gradually growing your grammar to include more sentences.

5. Create a transformer to evaluate the parse-tree into a structure you'll be comfortable to work with. This may include evaluating literals, merging branches, or even converting the entire tree into your own set of AST classes.

Of course, some specific use-cases may deviate from this process. Feel free to suggest these cases, and I'll add them to this page.

## Getting started

Browse the [Examples](https://github.com/lark-parser/lark/tree/master/examples) to find a template that suits your purposes.

Read the tutorials to get a better understanding of how everything works. (links in the [main page](/index))

Use the [Cheatsheet (PDF)](https://lark-parser.readthedocs.io/en/latest/_static/lark_cheatsheet.pdf) for quick reference.

Use the reference pages for more in-depth explanations. (links in the [main page](/index)]

## Debug

Grammars may contain non-obvious bugs, usually caused by rules or terminals interfering with each other in subtle ways.

When trying to debug a misbehaving grammar, the following methodology is recommended:

1. Create a copy of the grammar, so you can change the parser/grammar without any worries
2. Find the minimal input that creates the error
3. Slowly remove rules from the grammar, while making sure the error still occurs.

Usually, by the time you get to a minimal grammar, the problem becomes clear.

But if it doesn't, feel free to ask us on gitter, or even open an issue. Post a reproducing code, with the minimal grammar and input, and we'll do our best to help.

### LALR

By default Lark silently resolves Shift/Reduce conflicts as Shift. To enable warnings pass `debug=True`. To get the messages printed you have to configure the `logger` beforehand. For example:

```python
import logging
from lark import Lark, logger

logger.setLevel(logging.DEBUG)

collision_grammar = '''
start: as as
as: a*
a: "a"
'''
p = Lark(collision_grammar, parser='lalr', debug=True)
```

+ 101
- 0
docs/ide/app.html View File

@@ -0,0 +1,101 @@
<!doctype html>
<html>
<head>
<meta charset="UTF-8">

<!-- flip comment below to use local pyodide -->
<script src="https://pyodide-cdn2.iodide.io/v0.15.0/full/pyodide.js"></script>
<!-- <script src="./pyodide/pyodide.js"></script> -->

<link rel="stylesheet" href="https://unpkg.com/purecss@1.0.1/build/base-min.css">
<link href="https://fonts.googleapis.com/css2?family=Inconsolata:wght@500&display=swap" rel="stylesheet">

<script src="app.js"></script>
<style>
.is-loading:after {
background-image: url(is-loading.gif);
background-position: center 35%;
background-repeat: no-repeat;
background-color: hsla(0, 0%, 100%, .6);
position: absolute;
z-index: 700;
content: " ";
width: 100%;
height: 100%;
display: block;
left: 0;
right: 0;
top: 0;
bottom: 0
}

h1 {
text-align: center;
}

textarea, select, body > div > ul {
/* display: block;
margin: 15px auto;
width: 90%;
font-weight: bold;
color: #052569; */
font-family: 'Inconsolata', monospace;
}

textarea {
margin: 10px;
width: 90%;
padding: 10px;
font-size: 1.4em;
}

#grammar {
min-height: 300px;
}
#input {
min-height: 100px;
}

ul ul {
border-left: 1px dotted silver;
margin-left: -16px;
}

li {
list-style: circle;
margin-left: 10px;
}

select {
padding: 5px;
}

#inputs {
text-align: center;
}

#result {
display: flex;
justify-content: center;
}

#result > ul {
margin: 10px;
width: 90%;
padding: 10px;
font-size: 1.2em;
}

menu {
display: flex;
}

main {
margin: auto;
}

</style>
</head>
<body class="is-loading">
</body>
</html>

+ 105
- 0
docs/ide/app.js View File

@@ -0,0 +1,105 @@
class app {

constructor(modules, invocation){
languagePluginLoader.then(() => {
// If you don't require for pre-loaded Python packages, remove this promise below.
window.pyodide.runPythonAsync("import setuptools, micropip").then(()=>{
window.pyodide.runPythonAsync("micropip.install('lark-parser')").then(()=>{
this.fetchSources(modules).then(() => {
window.pyodide.runPythonAsync("import " + Object.keys(modules).join("\nimport ") + "\n" + invocation + "\n").then(() => this.initializingComplete());
});
});
});
});
}

loadSources(module, baseURL, files) {
let promises = [];

for (let f in files) {
promises.push(
new Promise((resolve, reject) => {
let file = files[f];
let url = (baseURL ? baseURL + "/" : "") + file;

fetch(url, {}).then((response) => {
if (response.status === 200)
return response.text().then((code) => {
let path = ("/lib/python3.7/site-packages/" + module + "/" + file).split("/");
let lookup = "";

for (let i in path) {
if (!path[i]) {
continue;
}

lookup += (lookup ? "/" : "") + path[i];

if (parseInt(i) === path.length - 1) {
window.pyodide._module.FS.writeFile(lookup, code);
console.debug(`fetched ${lookup}`);
} else {
try {
window.pyodide._module.FS.lookupPath(lookup);
} catch {
window.pyodide._module.FS.mkdir(lookup);
console.debug(`created ${lookup}`);
}
}
}

resolve();
});
else
reject();
});
})
);
}

return Promise.all(promises);
}

fetchSources(modules) {
let promises = [];

for( let module of Object.keys(modules) )
{
promises.push(
new Promise((resolve, reject) => {
fetch(`${modules[module]}/files.json`, {}).then((response) => {
if (response.status === 200) {
response.text().then((list) => {
let files = JSON.parse(list);

this.loadSources(module, modules[module], files).then(() => {
resolve();
})
})
} else {
reject();
}
})
}));
}

return Promise.all(promises).then(() => {
for( let module of Object.keys(modules) ) {
window.pyodide.loadedPackages[module] = "default channel";
}

window.pyodide.runPython(
'import importlib as _importlib\n' +
'_importlib.invalidate_caches()\n'
);
});
}

initializingComplete() {
document.body.classList.remove("is-loading")
}
}

(function () {
window.top.app = new app({"app": "app"}, "import app.app; app.app.start()");
})();

+ 83
- 0
docs/ide/app/app.py View File

@@ -0,0 +1,83 @@
from . import html5
from .examples import examples

from lark import Lark
from lark.tree import Tree


class App(html5.Div):
def __init__(self):
super().__init__("""
<h1>
<img src="lark-logo.png"> IDE
</h1>

<main>
<menu>
<select [name]="examples">
<option disabled selected>Examples</option>
</select>
<select [name]="parser">
<option value="earley" selected>Earley (default)</option>
<option value="lalr">LALR</option>
<option value="cyk">CYK</option>
</select>
</menu>
<div id="inputs">
<div>
<div>Grammar:</div>
<textarea [name]="grammar" id="grammar" placeholder="Lark Grammar..."></textarea>
</div>
<div>
<div>Input:</div>
<textarea [name]="input" id="input" placeholder="Parser input..."></textarea>
</div>
</div>
<div id="result">
<ul [name]="ast" />
</div>
</main>
""")
self.sinkEvent("onKeyUp", "onChange")

self.parser = "earley"

# Pre-load examples
for name, (grammar, input) in examples.items():
option = html5.Option(name)
option.grammar = grammar
option.input = input

self.examples.appendChild(option)

def onChange(self, e):
if html5.utils.doesEventHitWidgetOrChildren(e, self.examples):
example = self.examples.children(self.examples["selectedIndex"])
self.grammar["value"] = example.grammar.strip()
self.input["value"] = example.input.strip()
self.onKeyUp()

elif html5.utils.doesEventHitWidgetOrChildren(e, self.parser):
self.parser = self.parser.children(self.parser["selectedIndex"])["value"]
self.onKeyUp()

def onKeyUp(self, e=None):
l = Lark(self.grammar["value"], parser=self.parser)

try:
ast = l.parse(self.input["value"])
except Exception as e:
self.ast.appendChild(
html5.Li(str(e)), replace=True
)

print(ast)
traverse = lambda node: html5.Li([node.data, html5.Ul([traverse(c) for c in node.children])] if isinstance(node, Tree) else node)
self.ast.appendChild(traverse(ast), replace=True)


def start():
html5.Body().appendChild(
App()
)


+ 3152
- 0
docs/ide/app/core.py
File diff suppressed because it is too large
View File


+ 150
- 0
docs/ide/app/examples.py View File

@@ -0,0 +1,150 @@

# Examples formattet this way:
# "name": ("grammar", "demo-input")

examples = {

# --- hello.lark ---
"hello.lark": ("""
start: WORD "," WORD "!"

%import common.WORD // imports from terminal library
%ignore " " // Disregard spaces in text
""", "Hello, World!"),

# --- calc.lark ---
"calc.lark": ("""
?start: sum
| NAME "=" sum -> assign_var

?sum: product
| sum "+" product -> add
| sum "-" product -> sub

?product: atom
| product "*" atom -> mul
| product "/" atom -> div

?atom: NUMBER -> number
| "-" atom -> neg
| NAME -> var
| "(" sum ")"

%import common.CNAME -> NAME
%import common.NUMBER
%import common.WS_INLINE
%ignore WS_INLINE""",
"1 + 2 * 3 + 4"),

# --- json.lark ---
"json.lark": ("""
?start: value
?value: object
| array
| string
| SIGNED_NUMBER -> number
| "true" -> true
| "false" -> false
| "null" -> null
array : "[" [value ("," value)*] "]"
object : "{" [pair ("," pair)*] "}"
pair : string ":" value
string : ESCAPED_STRING
%import common.ESCAPED_STRING
%import common.SIGNED_NUMBER
%import common.WS
%ignore WS""",
"""
[
{
"_id": "5edb875cf3d764da55602437",
"index": 0,
"guid": "3dae2206-5d4d-41fe-b81d-dc8cdba7acaa",
"isActive": false,
"balance": "$2,872.54",
"picture": "http://placehold.it/32x32",
"age": 24,
"eyeColor": "blue",
"name": "Theresa Vargas",
"gender": "female",
"company": "GEEKOL",
"email": "theresavargas@geekol.com",
"phone": "+1 (930) 450-3445",
"address": "418 Herbert Street, Sexton, Florida, 1375",
"about": "Id minim deserunt laborum enim. Veniam commodo incididunt amet aute esse duis veniam occaecat nulla esse aute et deserunt eiusmod. Anim elit ullamco minim magna sint laboris. Est consequat quis deserunt excepteur in magna pariatur laborum quis eu. Ex quis tempor elit qui qui et culpa sunt sit esse mollit cupidatat. Fugiat cillum deserunt enim minim irure reprehenderit est. Voluptate nisi quis amet quis incididunt pariatur nostrud Lorem consectetur adipisicing voluptate.\\r\\n",
"registered": "2016-11-19T01:02:42 -01:00",
"latitude": -25.65267,
"longitude": 104.19531,
"tags": [
"eiusmod",
"reprehenderit",
"anim",
"sunt",
"esse",
"proident",
"esse"
],
"friends": [
{
"id": 0,
"name": "Roth Herrera"
},
{
"id": 1,
"name": "Callie Christian"
},
{
"id": 2,
"name": "Gracie Whitfield"
}
],
"greeting": "Hello, Theresa Vargas! You have 6 unread messages.",
"favoriteFruit": "banana"
},
{
"_id": "5edb875c845eb08161a83e64",
"index": 1,
"guid": "a8ada2c1-e2c7-40d3-96b4-52c93baff7f0",
"isActive": false,
"balance": "$2,717.04",
"picture": "http://placehold.it/32x32",
"age": 23,
"eyeColor": "green",
"name": "Lily Ross",
"gender": "female",
"company": "RODEOMAD",
"email": "lilyross@rodeomad.com",
"phone": "+1 (941) 465-3561",
"address": "525 Beekman Place, Blodgett, Marshall Islands, 3173",
"about": "Aliquip duis proident excepteur eiusmod in quis officia consequat culpa eu et ut. Occaecat reprehenderit tempor mollit do eu magna qui et magna exercitation aliqua. Incididunt exercitation dolor proident eiusmod minim occaecat. Sunt et minim mollit et veniam sint ex. Duis ullamco elit aute eu excepteur reprehenderit officia.\\r\\n",
"registered": "2019-11-02T04:06:42 -01:00",
"latitude": 17.031701,
"longitude": -42.657106,
"tags": [
"id",
"non",
"culpa",
"reprehenderit",
"esse",
"elit",
"sit"
],
"friends": [
{
"id": 0,
"name": "Ursula Maldonado"
},
{
"id": 1,
"name": "Traci Huff"
},
{
"id": 2,
"name": "Taylor Holt"
}
],
"greeting": "Hello, Lily Ross! You have 3 unread messages.",
"favoriteFruit": "strawberry"
}
]""")
}

+ 475
- 0
docs/ide/app/ext.py View File

@@ -0,0 +1,475 @@
# -*- coding: utf-8 -*-
from . import core as html5
from . import utils

class Button(html5.Button):

def __init__(self, txt=None, callback=None, className=None, *args, **kwargs):
super().__init__(*args, **kwargs)
self["class"] = "btn"

if className:
self.addClass(className)

self["type"] = "button"

if txt is not None:
self.setText(txt)

self.callback = callback
self.sinkEvent("onClick")

def setText(self, txt):
if txt is not None:
self.element.innerHTML = txt
self["title"] = txt
else:
self.element.innerHTML = ""
self["title"] = ""

def onClick(self, event):
event.stopPropagation()
event.preventDefault()
if self.callback is not None:
self.callback(self)


class Input(html5.Input):
def __init__(self, type="text", placeholder=None, callback=None, id=None, focusCallback=None, *args, **kwargs):
"""

:param type: Input type. Default: "text
:param placeholder: Placeholder text. Default: None
:param callback: Function to be called onChanged: callback(id, value)
:param id: Optional id of the input element. Will be passed to callback
:return:
"""
super().__init__(*args, **kwargs)
self["class"] = "input"
self["type"] = type
if placeholder is not None:
self["placeholder"] = placeholder

self.callback = callback
if id is not None:
self["id"] = id
self.sinkEvent("onChange")

self.focusCallback = focusCallback
if focusCallback:
self.sinkEvent("onFocus")

def onChange(self, event):
event.stopPropagation()
event.preventDefault()
if self.callback is not None:
self.callback(self, self["id"], self["value"])

def onFocus(self, event):
event.stopPropagation()
event.preventDefault()
if self.focusCallback is not None:
self.focusCallback(self, self["id"], self["value"])

def onDetach(self):
super().onDetach()
self.callback = None


class Popup(html5.Div):
def __init__(self, title=None, id=None, className=None, icon=None, enableShortcuts=True, closeable=True, *args, **kwargs):
super().__init__("""
<div class="box" [name]="popupBox">
<div class="box-head" [name]="popupHead">
<div class="item" [name]="popupHeadItem">
<div class="item-image">
<i class="i i--small" [name]="popupIcon"></i>
</div>
<div class="item-content">
<div class="item-headline" [name]="popupHeadline"></div>
</div>
</div>
</div>
<div class="box-body box--content" [name]="popupBody"></div>
<div class="box-foot box--content bar" [name]="popupFoot"></div>
</div>
""")

self.appendChild = self.popupBody.appendChild
self.fromHTML = lambda *args, **kwargs: self.popupBody.fromHTML(*args, **kwargs) if kwargs.get("bindTo") else self.popupBody.fromHTML(bindTo=self, *args, **kwargs)

self["class"] = "popup popup--center is-active"
if className:
self.addClass(className)

if closeable:
closeBtn = Button("&times;", self.close, className="item-action")
closeBtn.removeClass("btn")
self.popupHeadItem.appendChild(closeBtn)

if title:
self.popupHeadline.appendChild(title)

if icon:
self.popupIcon.appendChild(icon[0])
elif title:
self.popupIcon.appendChild(title[0])
else:
self.popupIcon.appendChild("Vi") #fixme!!! this _LIBRARY_ is not only used in the Vi...

# id can be used to pass information to callbacks
self.id = id

#FIXME: Implement a global overlay! One popupOverlay next to a list of popups.
self.popupOverlay = html5.Div()
self.popupOverlay["class"] = "popup-overlay is-active"

self.enableShortcuts = enableShortcuts
self.onDocumentKeyDownMethod = None

self.popupOverlay.appendChild(self)
html5.Body().appendChild(self.popupOverlay)

#FIXME: Close/Cancel every popup with click on popupCloseBtn without removing the global overlay.

def onAttach(self):
super(Popup, self).onAttach()

if self.enableShortcuts:
self.onDocumentKeyDownMethod = self.onDocumentKeyDown # safe reference to method
html5.document.addEventListener("keydown", self.onDocumentKeyDownMethod)

def onDetach(self):
super(Popup, self).onDetach()

if self.enableShortcuts:
html5.document.removeEventListener("keydown", self.onDocumentKeyDownMethod)

def onDocumentKeyDown(self, event):
if html5.isEscape(event):
self.close()

def close(self, *args, **kwargs):
html5.Body().removeChild(self.popupOverlay)
self.popupOverlay = None



class InputDialog(Popup):
def __init__(self, text, value="", successHandler=None, abortHandler=None,
successLbl="OK", abortLbl="Cancel", placeholder="", *args, **kwargs):

super().__init__(*args, **kwargs)
self.addClass("popup--inputdialog")

self.sinkEvent("onKeyDown", "onKeyUp")

self.successHandler = successHandler
self.abortHandler = abortHandler

self.fromHTML(
"""
<div class="input-group">
<label class="label">
{{text}}
</label>
<input class="input" [name]="inputElem" value="{{value}}" placeholder="{{placeholder}}" />
</div>
""",
vars={
"text": text,
"value": value,
"placeholder": placeholder
}
)

# Cancel
self.popupFoot.appendChild(Button(abortLbl, self.onCancel, className="btn--cancel btn--danger"))

# Okay
self.okayBtn = Button(successLbl, self.onOkay, className="btn--okay btn--primary")
if not value:
self.okayBtn.disable()

self.popupFoot.appendChild(self.okayBtn)

self.inputElem.focus()

def onKeyDown(self, event):
if html5.isReturn(event) and self.inputElem["value"]:
event.stopPropagation()
event.preventDefault()
self.onOkay()

def onKeyUp(self, event):
if self.inputElem["value"]:
self.okayBtn.enable()
else:
self.okayBtn.disable()

def onDocumentKeyDown(self, event):
if html5.isEscape(event):
event.stopPropagation()
event.preventDefault()
self.onCancel()

def onOkay(self, *args, **kwargs):
if self.successHandler:
self.successHandler(self, self.inputElem["value"])
self.close()

def onCancel(self, *args, **kwargs):
if self.abortHandler:
self.abortHandler(self, self.inputElem["value"])
self.close()


class Alert(Popup):
"""
Just displaying an alerting message box with OK-button.
"""

def __init__(self, msg, title=None, className=None, okCallback=None, okLabel="OK", icon="!", closeable=True, *args, **kwargs):
super().__init__(title, className=None, icon=icon, closeable=closeable, *args, **kwargs)
self.addClass("popup--alert")

if className:
self.addClass(className)

self.okCallback = okCallback

message = html5.Span()
message.addClass("alert-msg")
self.popupBody.appendChild(message)

if isinstance(msg, str):
msg = msg.replace("\n", "<br>")

message.appendChild(msg, bindTo=False)

self.sinkEvent("onKeyDown")

if closeable:
okBtn = Button(okLabel, callback=self.onOkBtnClick)
okBtn.addClass("btn--okay btn--primary")
self.popupFoot.appendChild(okBtn)

okBtn.focus()

def drop(self):
self.okCallback = None
self.close()

def onOkBtnClick(self, sender=None):
if self.okCallback:
self.okCallback(self)

self.drop()

def onKeyDown(self, event):
if html5.isReturn(event):
event.stopPropagation()
event.preventDefault()
self.onOkBtnClick()


class YesNoDialog(Popup):
def __init__(self, question, title=None, yesCallback=None, noCallback=None,
yesLabel="Yes", noLabel="No", icon="?",
closeable=False, *args, **kwargs):
super().__init__(title, closeable=closeable, icon=icon, *args, **kwargs)
self.addClass("popup--yesnodialog")

self.yesCallback = yesCallback
self.noCallback = noCallback

lbl = html5.Span()
lbl["class"].append("question")
self.popupBody.appendChild(lbl)

if isinstance(question, html5.Widget):
lbl.appendChild(question)
else:
utils.textToHtml(lbl, question)

if len(noLabel):
btnNo = Button(noLabel, className="btn--no", callback=self.onNoClicked)
#btnNo["class"].append("btn--no")
self.popupFoot.appendChild(btnNo)

btnYes = Button(yesLabel, callback=self.onYesClicked)
btnYes["class"].append("btn--yes")
self.popupFoot.appendChild(btnYes)

self.sinkEvent("onKeyDown")
btnYes.focus()

def onKeyDown(self, event):
if html5.isReturn(event):
event.stopPropagation()
event.preventDefault()
self.onYesClicked()

def onDocumentKeyDown(self, event):
if html5.isEscape(event):
event.stopPropagation()
event.preventDefault()
self.onNoClicked()

def drop(self):
self.yesCallback = None
self.noCallback = None
self.close()

def onYesClicked(self, *args, **kwargs):
if self.yesCallback:
self.yesCallback(self)

self.drop()

def onNoClicked(self, *args, **kwargs):
if self.noCallback:
self.noCallback(self)

self.drop()


class SelectDialog(Popup):

def __init__(self, prompt, items=None, title=None, okBtn="OK", cancelBtn="Cancel", forceSelect=False,
callback=None, *args, **kwargs):
super().__init__(title, *args, **kwargs)
self["class"].append("popup--selectdialog")

self.callback = callback
self.items = items
assert isinstance(self.items, list)

# Prompt
if prompt:
lbl = html5.Span()
lbl["class"].append("prompt")

if isinstance(prompt, html5.Widget):
lbl.appendChild(prompt)
else:
utils.textToHtml(lbl, prompt)

self.popupBody.appendChild(lbl)

# Items
if not forceSelect and len(items) <= 3:
for idx, item in enumerate(items):
if isinstance(item, dict):
title = item.get("title")
cssc = item.get("class")
elif isinstance(item, tuple):
title = item[1]
cssc = None
else:
title = item

btn = Button(title, callback=self.onAnyBtnClick)
btn.idx = idx

if cssc:
btn.addClass(cssc)

self.popupBody.appendChild(btn)
else:
self.select = html5.Select()
self.popupBody.appendChild(self.select)

for idx, item in enumerate(items):
if isinstance(item, dict):
title = item.get("title")
elif isinstance(item, tuple):
title = item[1]
else:
title = item

opt = html5.Option(title)
opt["value"] = str(idx)

self.select.appendChild(opt)

if okBtn:
self.popupFoot.appendChild(Button(okBtn, callback=self.onOkClick))

if cancelBtn:
self.popupFoot.appendChild(Button(cancelBtn, callback=self.onCancelClick))

def onAnyBtnClick(self, sender):
item = self.items[sender.idx]

if isinstance(item, dict) and item.get("callback") and callable(item["callback"]):
item["callback"](item)

if self.callback:
self.callback(item)

self.items = None
self.close()

def onCancelClick(self, sender=None):
self.close()

def onOkClick(self, sender=None):
assert self.select["selectedIndex"] >= 0
item = self.items[int(self.select.children(self.select["selectedIndex"])["value"])]

if isinstance(item, dict) and item.get("callback") and callable(item["callback"]):
item["callback"](item)

if self.callback:
self.callback(item)

self.items = None
self.select = None
self.close()


class TextareaDialog(Popup):
def __init__(self, text, value="", successHandler=None, abortHandler=None, successLbl="OK", abortLbl="Cancel",
*args, **kwargs):
super().__init__(*args, **kwargs)
self["class"].append("popup--textareadialog")

self.successHandler = successHandler
self.abortHandler = abortHandler

span = html5.Span()
span.element.innerHTML = text
self.popupBody.appendChild(span)

self.inputElem = html5.Textarea()
self.inputElem["value"] = value
self.popupBody.appendChild(self.inputElem)

okayBtn = Button(successLbl, self.onOkay)
okayBtn["class"].append("btn--okay")
self.popupFoot.appendChild(okayBtn)

cancelBtn = Button(abortLbl, self.onCancel)
cancelBtn["class"].append("btn--cancel")
self.popupFoot.appendChild(cancelBtn)

self.sinkEvent("onKeyDown")

self.inputElem.focus()

def onDocumentKeyDown(self, event):
if html5.isEscape(event):
event.stopPropagation()
event.preventDefault()
self.onCancel()

def onOkay(self, *args, **kwargs):
if self.successHandler:
self.successHandler(self, self.inputElem["value"])
self.close()

def onCancel(self, *args, **kwargs):
if self.abortHandler:
self.abortHandler(self, self.inputElem["value"])
self.close()

+ 9
- 0
docs/ide/app/files.json View File

@@ -0,0 +1,9 @@
[
"app.py",
"examples.py",
"html5.py",
"core.py",
"ext.py",
"ignite.py",
"utils.py"
]

+ 6
- 0
docs/ide/app/html5.py View File

@@ -0,0 +1,6 @@
#-*- coding: utf-8 -*-

from .core import *
from . import ext, utils, ignite



+ 186
- 0
docs/ide/app/ignite.py View File

@@ -0,0 +1,186 @@
# -*- coding: utf-8 -*-
from . import core as html5


@html5.tag
class Label(html5.Label):
_parserTagName = "ignite-label"

def __init__(self, *args, **kwargs):
super(Label, self).__init__(style="label ignt-label", *args, **kwargs)


@html5.tag
class Input(html5.Input):
_parserTagName = "ignite-input"

def __init__(self, *args, **kwargs):
super(Input, self).__init__(style="input ignt-input", *args, **kwargs)


@html5.tag
class Switch(html5.Div):
_parserTagName = "ignite-switch"

def __init__(self, *args, **kwargs):
super(Switch, self).__init__(style="switch ignt-switch", *args, **kwargs)

self.input = html5.Input(style="switch-input")
self.appendChild(self.input)
self.input["type"] = "checkbox"

switchLabel = html5.Label(forElem=self.input)
switchLabel.addClass("switch-label")
self.appendChild(switchLabel)

def _setChecked(self, value):
self.input["checked"] = bool(value)

def _getChecked(self):
return self.input["checked"]


@html5.tag
class Check(html5.Input):
_parserTagName = "ignite-check"

def __init__(self, *args, **kwargs):
super(Check, self).__init__(style="check ignt-check", *args, **kwargs)

checkInput = html5.Input()
checkInput.addClass("check-input")
checkInput["type"] = "checkbox"
self.appendChild(checkInput)

checkLabel = html5.Label(forElem=checkInput)
checkLabel.addClass("check-label")
self.appendChild(checkLabel)


@html5.tag
class Radio(html5.Div):
_parserTagName = "ignite-radio"

def __init__(self, *args, **kwargs):
super(Radio, self).__init__(style="radio ignt-radio", *args, **kwargs)

radioInput = html5.Input()
radioInput.addClass("radio-input")
radioInput["type"] = "radio"
self.appendChild(radioInput)

radioLabel = html5.Label(forElem=radioInput)
radioLabel.addClass("radio-label")
self.appendChild(radioLabel)


@html5.tag
class Select(html5.Select):
_parserTagName = "ignite-select"

def __init__(self, *args, **kwargs):
super(Select, self).__init__(style="select ignt-select", *args, **kwargs)

defaultOpt = html5.Option()
defaultOpt["selected"] = True
defaultOpt["disabled"] = True
defaultOpt.element.innerHTML = ""
self.appendChild(defaultOpt)


@html5.tag
class Textarea(html5.Textarea):
_parserTagName = "ignite-textarea"

def __init__(self, *args, **kwargs):
super(Textarea, self).__init__(style="textarea ignt-textarea", *args, **kwargs)


@html5.tag
class Progress(html5.Progress):
_parserTagName = "ignite-progress"

def __init__(self, *args, **kwargs):
super(Progress, self).__init__(style="progress ignt-progress", *args, **kwargs)


@html5.tag
class Item(html5.Div):
_parserTagName = "ignite-item"

def __init__(self, title=None, descr=None, className=None, *args, **kwargs):
super(Item, self).__init__(style="item ignt-item", *args, **kwargs)
if className:
self.addClass(className)

self.fromHTML("""
<div class="item-image ignt-item-image" [name]="itemImage">
</div>
<div class="item-content ignt-item-content" [name]="itemContent">
<div class="item-headline ignt-item-headline" [name]="itemHeadline">
</div>
</div>
""")

if title:
self.itemHeadline.appendChild(html5.TextNode(title))

if descr:
self.itemSubline = html5.Div()
self.addClass("item-subline ignt-item-subline")
self.itemSubline.appendChild(html5.TextNode(descr))
self.appendChild(self.itemSubline)


@html5.tag
class Table(html5.Table):
_parserTagName = "ignite-table"

def __init__(self, *args, **kwargs):
super(Table, self).__init__(*args, **kwargs)
self.head.addClass("ignt-table-head")
self.body.addClass("ignt-table-body")

def prepareRow(self, row):
assert row >= 0, "Cannot create rows with negative index"

for child in self.body._children:
row -= child["rowspan"]
if row < 0:
return

while row >= 0:
tableRow = html5.Tr()
tableRow.addClass("ignt-table-body-row")
self.body.appendChild(tableRow)
row -= 1

def prepareCol(self, row, col):
assert col >= 0, "Cannot create cols with negative index"
self.prepareRow(row)

for rowChild in self.body._children:
row -= rowChild["rowspan"]

if row < 0:
for colChild in rowChild._children:
col -= colChild["colspan"]
if col < 0:
return

while col >= 0:
tableCell = html5.Td()
tableCell.addClass("ignt-table-body-cell")
rowChild.appendChild(tableCell)
col -= 1

return
def fastGrid( self, rows, cols, createHidden=False ):
colsstr = "".join(['<td class="ignt-table-body-cell"></td>' for i in range(0, cols)])
tblstr = '<tbody [name]="body" class="ignt-table-body" >'

for r in range(0, rows):
tblstr += '<tr class="ignt-table-body-row %s">%s</tr>' %("is-hidden" if createHidden else "",colsstr)
tblstr +="</tbody>"

self.fromHTML(tblstr)

+ 101
- 0
docs/ide/app/utils.py View File

@@ -0,0 +1,101 @@
# -*- coding: utf-8 -*-
from . import core as html5

def unescape(val, maxLength = 0):
"""
Unquotes several HTML-quoted characters in a string.

:param val: The value to be unescaped.
:type val: str

:param maxLength: Cut-off after maxLength characters.
A value of 0 means "unlimited". (default)
:type maxLength: int

:returns: The unquoted string.
:rtype: str
"""
val = val \
.replace("&lt;", "<") \
.replace("&gt;", ">") \
.replace("&quot;", "\"") \
.replace("&#39;", "'")

if maxLength > 0:
return val[0:maxLength]

return val

def doesEventHitWidgetOrParents(event, widget):
"""
Test if event 'event' hits widget 'widget' (or *any* of its parents)
"""
while widget:
if event.target == widget.element:
return widget

widget = widget.parent()

return None

def doesEventHitWidgetOrChildren(event, widget):
"""
Test if event 'event' hits widget 'widget' (or *any* of its children)
"""
if event.target == widget.element:
return widget

for child in widget.children():
if doesEventHitWidgetOrChildren(event, child):
return child

return None

def textToHtml(node, text):
"""
Generates html nodes from text by splitting text into content and into
line breaks html5.Br.

:param node: The node where the nodes are appended to.
:param text: The text to be inserted.
"""

for (i, part) in enumerate(text.split("\n")):
if i > 0:
node.appendChild(html5.Br())

node.appendChild(html5.TextNode(part))

def parseInt(s, ret = 0):
"""
Parses a value as int
"""
if not isinstance(s, str):
return int(s)
elif s:
if s[0] in "+-":
ts = s[1:]
else:
ts = s

if ts and all([_ in "0123456789" for _ in ts]):
return int(s)

return ret

def parseFloat(s, ret = 0.0):
"""
Parses a value as float.
"""
if not isinstance(s, str):
return float(s)
elif s:
if s[0] in "+-":
ts = s[1:]
else:
ts = s

if ts and ts.count(".") <= 1 and all([_ in ".0123456789" for _ in ts]):
return float(s)

return ret

BIN
docs/ide/is-loading.gif View File

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Width: 198  |  Height: 98  |  Size: 13 KiB

+ 121
- 0
docs/index.rst View File

@@ -0,0 +1,121 @@
.. Lark documentation master file, created by
sphinx-quickstart on Sun Aug 16 13:09:41 2020.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.

Welcome to Lark's documentation!
================================

.. toctree::
:maxdepth: 2
:caption: Overview
:hidden:

philosophy
features
parsers

.. toctree::
:maxdepth: 2
:caption: Tutorials & Guides
:hidden:

json_tutorial
how_to_use
how_to_develop
recipes
examples/index


.. toctree::
:maxdepth: 2
:caption: Reference
:hidden:

grammar
tree_construction
classes
visitors
forest
nearley



Lark is a modern parsing library for Python. Lark can parse any context-free grammar.

Lark provides:

- Advanced grammar language, based on EBNF
- Three parsing algorithms to choose from: Earley, LALR(1) and CYK
- Automatic tree construction, inferred from your grammar
- Fast unicode lexer with regexp support, and automatic line-counting


Install Lark
--------------

.. code:: bash

$ pip install lark-parser

Syntax Highlighting
-------------------

- `Sublime Text & TextMate`_
- `Visual Studio Code`_ (Or install through the vscode plugin system)
- `Intellij & PyCharm`_
- `Vim`_
- `Atom`_

.. _Sublime Text & TextMate: https://github.com/lark-parser/lark_syntax
.. _Visual Studio Code: https://github.com/lark-parser/vscode-lark
.. _Intellij & PyCharm: https://github.com/lark-parser/intellij-syntax-highlighting
.. _Vim: https://github.com/lark-parser/vim-lark-syntax
.. _Atom: https://github.com/Alhadis/language-grammars

Resources
---------

- :doc:`philosophy`
- :doc:`features`
- `Examples`_
- `Third-party examples`_
- `Online IDE`_
- Tutorials

- `How to write a DSL`_ - Implements a toy LOGO-like language with
an interpreter
- :doc:`json_tutorial` - Teaches you how to use Lark
- Unofficial

- `Program Synthesis is Possible`_ - Creates a DSL for Z3

- Guides

- :doc:`how_to_use`
- :doc:`how_to_develop`

- Reference

- :doc:`grammar`
- :doc:`tree_construction`
- :doc:`visitors`
- :doc:`forest`
- :doc:`classes`
- :doc:`nearley`
- `Cheatsheet (PDF)`_

- Discussion

- `Gitter`_
- `Forum (Google Groups)`_


.. _Examples: https://github.com/lark-parser/lark/tree/master/examples
.. _Third-party examples: https://github.com/ligurio/lark-grammars
.. _Online IDE: https://lark-parser.github.io/lark/ide/app.html
.. _How to write a DSL: http://blog.erezsh.com/how-to-write-a-dsl-in-python-with-lark/
.. _Program Synthesis is Possible: https://www.cs.cornell.edu/~asampson/blog/minisynth.html
.. _Cheatsheet (PDF): _static/lark_cheatsheet.pdf
.. _Gitter: https://gitter.im/lark-parser/Lobby
.. _Forum (Google Groups): https://groups.google.com/forum/#!forum/lark-parser

+ 448
- 0
docs/json_tutorial.md View File

@@ -0,0 +1,448 @@
# JSON parser - Tutorial

Lark is a parser - a program that accepts a grammar and text, and produces a structured tree that represents that text.
In this tutorial we will write a JSON parser in Lark, and explore Lark's various features in the process.

It has 5 parts.

1. Writing the grammar
2. Creating the parser
3. Shaping the tree
4. Evaluating the tree
5. Optimizing

Knowledge assumed:
- Using Python
- A basic understanding of how to use regular expressions

## Part 1 - The Grammar

Lark accepts its grammars in a format called [EBNF](https://www.wikiwand.com/en/Extended_Backus%E2%80%93Naur_form). It basically looks like this:

rule_name : list of rules and TERMINALS to match
| another possible list of items
| etc.

TERMINAL: "some text to match"

(*a terminal is a string or a regular expression*)

The parser will try to match each rule (left-part) by matching its items (right-part) sequentially, trying each alternative (In practice, the parser is predictive so we don't have to try every alternative).

How to structure those rules is beyond the scope of this tutorial, but often it's enough to follow one's intuition.

In the case of JSON, the structure is simple: A json document is either a list, or a dictionary, or a string/number/etc.

The dictionaries and lists are recursive, and contain other json documents (or "values").

Let's write this structure in EBNF form:

value: dict
| list
| STRING
| NUMBER
| "true" | "false" | "null"

list : "[" [value ("," value)*] "]"

dict : "{" [pair ("," pair)*] "}"
pair : STRING ":" value


A quick explanation of the syntax:
- Parenthesis let us group rules together.
- rule\* means *any amount*. That means, zero or more instances of that rule.
- [rule] means *optional*. That means zero or one instance of that rule.

Lark also supports the rule+ operator, meaning one or more instances. It also supports the rule? operator which is another way to say *optional*.

Of course, we still haven't defined "STRING" and "NUMBER". Luckily, both these literals are already defined in Lark's common library:

%import common.ESCAPED_STRING -> STRING
%import common.SIGNED_NUMBER -> NUMBER

The arrow (->) renames the terminals. But that only adds obscurity in this case, so going forward we'll just use their original names.

We'll also take care of the white-space, which is part of the text.

%import common.WS
%ignore WS

We tell our parser to ignore whitespace. Otherwise, we'd have to fill our grammar with WS terminals.

By the way, if you're curious what these terminals signify, they are roughly equivalent to this:

NUMBER : /-?\d+(\.\d+)?([eE][+-]?\d+)?/
STRING : /".*?(?<!\\)"/
%ignore /[ \t\n\f\r]+/

Lark will accept this, if you really want to complicate your life :)

You can find the original definitions in [common.lark](https://github.com/lark-parser/lark/blob/master/lark/grammars/common.lark).
They don't strictly adhere to [json.org](https://json.org/) - but our purpose here is to accept json, not validate it.

Notice that terminals are written in UPPER-CASE, while rules are written in lower-case.
I'll touch more on the differences between rules and terminals later.

## Part 2 - Creating the Parser

Once we have our grammar, creating the parser is very simple.

We simply instantiate Lark, and tell it to accept a "value":

```python
from lark import Lark
json_parser = Lark(r"""
value: dict
| list
| ESCAPED_STRING
| SIGNED_NUMBER
| "true" | "false" | "null"

list : "[" [value ("," value)*] "]"

dict : "{" [pair ("," pair)*] "}"
pair : ESCAPED_STRING ":" value

%import common.ESCAPED_STRING
%import common.SIGNED_NUMBER
%import common.WS
%ignore WS

""", start='value')
```

It's that simple! Let's test it out:

```python
>>> text = '{"key": ["item0", "item1", 3.14]}'
>>> json_parser.parse(text)
Tree(value, [Tree(dict, [Tree(pair, [Token(STRING, "key"), Tree(value, [Tree(list, [Tree(value, [Token(STRING, "item0")]), Tree(value, [Token(STRING, "item1")]), Tree(value, [Token(NUMBER, 3.14)])])])])])])
>>> print( _.pretty() )
value
dict
pair
"key"
value
list
value "item0"
value "item1"
value 3.14
```

As promised, Lark automagically creates a tree that represents the parsed text.

But something is suspiciously missing from the tree. Where are the curly braces, the commas and all the other punctuation literals?

Lark automatically filters out literals from the tree, based on the following criteria:

- Filter out string literals without a name, or with a name that starts with an underscore.
- Keep regexps, even unnamed ones, unless their name starts with an underscore.

Unfortunately, this means that it will also filter out literals like "true" and "false", and we will lose that information. The next section, "Shaping the tree" deals with this issue, and others.

## Part 3 - Shaping the Tree

We now have a parser that can create a parse tree (or: AST), but the tree has some issues:

1. "true", "false" and "null" are filtered out (test it out yourself!)
2. Is has useless branches, like *value*, that clutter-up our view.

I'll present the solution, and then explain it:

?value: dict
| list
| string
| SIGNED_NUMBER -> number
| "true" -> true
| "false" -> false
| "null" -> null

...

string : ESCAPED_STRING

1. Those little arrows signify *aliases*. An alias is a name for a specific part of the rule. In this case, we will name the *true/false/null* matches, and this way we won't lose the information. We also alias *SIGNED_NUMBER* to mark it for later processing.

2. The question-mark prefixing *value* ("?value") tells the tree-builder to inline this branch if it has only one member. In this case, *value* will always have only one member, and will always be inlined.

3. We turned the *ESCAPED_STRING* terminal into a rule. This way it will appear in the tree as a branch. This is equivalent to aliasing (like we did for the number), but now *string* can also be used elsewhere in the grammar (namely, in the *pair* rule).

Here is the new grammar:

```python
from lark import Lark
json_parser = Lark(r"""
?value: dict
| list
| string
| SIGNED_NUMBER -> number
| "true" -> true
| "false" -> false
| "null" -> null

list : "[" [value ("," value)*] "]"

dict : "{" [pair ("," pair)*] "}"
pair : string ":" value

string : ESCAPED_STRING

%import common.ESCAPED_STRING
%import common.SIGNED_NUMBER
%import common.WS
%ignore WS

""", start='value')
```

And let's test it out:

```python
>>> text = '{"key": ["item0", "item1", 3.14, true]}'
>>> print( json_parser.parse(text).pretty() )
dict
pair
string "key"
list
string "item0"
string "item1"
number 3.14
true
```

Ah! That is much much nicer.

## Part 4 - Evaluating the tree

It's nice to have a tree, but what we really want is a JSON object.

The way to do it is to evaluate the tree, using a Transformer.

A transformer is a class with methods corresponding to branch names. For each branch, the appropriate method will be called with the children of the branch as its argument, and its return value will replace the branch in the tree.

So let's write a partial transformer, that handles lists and dictionaries:

```python
from lark import Transformer

class MyTransformer(Transformer):
def list(self, items):
return list(items)
def pair(self, key_value):
k, v = key_value
return k, v
def dict(self, items):
return dict(items)
```

And when we run it, we get this:
```python
>>> tree = json_parser.parse(text)
>>> MyTransformer().transform(tree)
{Tree(string, [Token(ANONRE_1, "key")]): [Tree(string, [Token(ANONRE_1, "item0")]), Tree(string, [Token(ANONRE_1, "item1")]), Tree(number, [Token(ANONRE_0, 3.14)]), Tree(true, [])]}
```

This is pretty close. Let's write a full transformer that can handle the terminals too.

Also, our definitions of list and dict are a bit verbose. We can do better:

```python
from lark import Transformer

class TreeToJson(Transformer):
def string(self, s):
(s,) = s
return s[1:-1]
def number(self, n):
(n,) = n
return float(n)

list = list
pair = tuple
dict = dict

null = lambda self, _: None
true = lambda self, _: True
false = lambda self, _: False
```

And when we run it:

```python
>>> tree = json_parser.parse(text)
>>> TreeToJson().transform(tree)
{u'key': [u'item0', u'item1', 3.14, True]}
```
Magic!

## Part 5 - Optimizing

### Step 1 - Benchmark

By now, we have a fully working JSON parser, that can accept a string of JSON, and return its Pythonic representation.

But how fast is it?

Now, of course there are JSON libraries for Python written in C, and we can never compete with them. But since this is applicable to any parser you would write in Lark, let's see how far we can take this.

The first step for optimizing is to have a benchmark. For this benchmark I'm going to take data from [json-generator.com/](http://www.json-generator.com/). I took their default suggestion and changed it to 5000 objects. The result is a 6.6MB sparse JSON file.

Our first program is going to be just a concatenation of everything we've done so far:

```python
import sys
from lark import Lark, Transformer

json_grammar = r"""
?value: dict
| list
| string
| SIGNED_NUMBER -> number
| "true" -> true
| "false" -> false
| "null" -> null

list : "[" [value ("," value)*] "]"

dict : "{" [pair ("," pair)*] "}"
pair : string ":" value

string : ESCAPED_STRING

%import common.ESCAPED_STRING
%import common.SIGNED_NUMBER
%import common.WS
%ignore WS
"""

class TreeToJson(Transformer):
def string(self, s):
(s,) = s
return s[1:-1]
def number(self, n):
(n,) = n
return float(n)

list = list
pair = tuple
dict = dict

null = lambda self, _: None
true = lambda self, _: True
false = lambda self, _: False

json_parser = Lark(json_grammar, start='value', lexer='standard')

if __name__ == '__main__':
with open(sys.argv[1]) as f:
tree = json_parser.parse(f.read())
print(TreeToJson().transform(tree))
```

We run it and get this:

$ time python tutorial_json.py json_data > /dev/null

real 0m36.257s
user 0m34.735s
sys 0m1.361s


That's unsatisfactory time for a 6MB file. Maybe if we were parsing configuration or a small DSL, but we're trying to handle large amount of data here.

Well, turns out there's quite a bit we can do about it!

### Step 2 - LALR(1)

So far we've been using the Earley algorithm, which is the default in Lark. Earley is powerful but slow. But it just so happens that our grammar is LR-compatible, and specifically LALR(1) compatible.

So let's switch to LALR(1) and see what happens:

```python
json_parser = Lark(json_grammar, start='value', parser='lalr')
```
$ time python tutorial_json.py json_data > /dev/null

real 0m7.554s
user 0m7.352s
sys 0m0.148s

Ah, that's much better. The resulting JSON is of course exactly the same. You can run it for yourself and see.

It's important to note that not all grammars are LR-compatible, and so you can't always switch to LALR(1). But there's no harm in trying! If Lark lets you build the grammar, it means you're good to go.

### Step 3 - Tree-less LALR(1)

So far, we've built a full parse tree for our JSON, and then transformed it. It's a convenient method, but it's not the most efficient in terms of speed and memory. Luckily, Lark lets us avoid building the tree when parsing with LALR(1).

Here's the way to do it:

```python
json_parser = Lark(json_grammar, start='value', parser='lalr', transformer=TreeToJson())

if __name__ == '__main__':
with open(sys.argv[1]) as f:
print( json_parser.parse(f.read()) )
```

We've used the transformer we've already written, but this time we plug it straight into the parser. Now it can avoid building the parse tree, and just send the data straight into our transformer. The *parse()* method now returns the transformed JSON, instead of a tree.

Let's benchmark it:

real 0m4.866s
user 0m4.722s
sys 0m0.121s

That's a measurable improvement! Also, this way is more memory efficient. Check out the benchmark table at the end to see just how much.

As a general practice, it's recommended to work with parse trees, and only skip the tree-builder when your transformer is already working.

### Step 4 - PyPy

PyPy is a JIT engine for running Python, and it's designed to be a drop-in replacement.

Lark is written purely in Python, which makes it very suitable for PyPy.

Let's get some free performance:

$ time pypy tutorial_json.py json_data > /dev/null

real 0m1.397s
user 0m1.296s
sys 0m0.083s

PyPy is awesome!

### Conclusion

We've brought the run-time down from 36 seconds to 1.1 seconds, in a series of small and simple steps.

Now let's compare the benchmarks in a nicely organized table.

I measured memory consumption using a little script called [memusg](https://gist.github.com/netj/526585)

| Code | CPython Time | PyPy Time | CPython Mem | PyPy Mem
|:-----|:-------------|:------------|:----------|:---------
| Lark - Earley *(with lexer)* | 42s | 4s | 1167M | 608M |
| Lark - LALR(1) | 8s | 1.53s | 453M | 266M |
| Lark - LALR(1) tree-less | 4.76s | 1.23s | 70M | 134M |
| PyParsing ([Parser](http://pyparsing.wikispaces.com/file/view/jsonParser.py)) | 32s | 3.53s | 443M | 225M |
| funcparserlib ([Parser](https://github.com/vlasovskikh/funcparserlib/blob/master/funcparserlib/tests/json.py)) | 8.5s | 1.3s | 483M | 293M |
| Parsimonious ([Parser](https://gist.githubusercontent.com/reclosedev/5222560/raw/5e97cf7eb62c3a3671885ec170577285e891f7d5/parsimonious_json.py)) | ? | 5.7s | ? | 1545M |


I added a few other parsers for comparison. PyParsing and funcparselib fair pretty well in their memory usage (they don't build a tree), but they can't compete with the run-time speed of LALR(1).

These benchmarks are for Lark's alpha version. I already have several optimizations planned that will significantly improve run-time speed.

Once again, shout-out to PyPy for being so effective.

## Afterword

This is the end of the tutorial. I hoped you liked it and learned a little about Lark.

To see what else you can do with Lark, check out the [examples](examples).

For questions or any other subject, feel free to email me at erezshin at gmail dot com.


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@@ -0,0 +1,36 @@
@ECHO OFF
pushd %~dp0
REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
set SOURCEDIR=.
set BUILDDIR=_build
set SPHINXPROJ=Lark
if "%1" == "" goto help
%SPHINXBUILD% >NUL 2>NUL
if errorlevel 9009 (
echo.
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
echo.installed, then set the SPHINXBUILD environment variable to point
echo.to the full path of the 'sphinx-build' executable. Alternatively you
echo.may add the Sphinx directory to PATH.
echo.
echo.If you don't have Sphinx installed, grab it from
echo.http://sphinx-doc.org/
exit /b 1
)
%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
goto end
:help
%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
:end
popd

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# Importing grammars from Nearley

Lark comes with a tool to convert grammars from [Nearley](https://github.com/Hardmath123/nearley), a popular Earley library for Javascript. It uses [Js2Py](https://github.com/PiotrDabkowski/Js2Py) to convert and run the Javascript postprocessing code segments.

## Requirements

1. Install Lark with the `nearley` component:
```bash
pip install lark-parser[nearley]
```

2. Acquire a copy of the nearley codebase. This can be done using:
```bash
git clone https://github.com/Hardmath123/nearley
```

## Usage

Here's an example of how to import nearley's calculator example into Lark:

```bash
git clone https://github.com/Hardmath123/nearley
python -m lark.tools.nearley nearley/examples/calculator/arithmetic.ne main nearley > ncalc.py
```

You can use the output as a regular python module:

```python
>>> import ncalc
>>> ncalc.parse('sin(pi/4) ^ e')
0.38981434460254655
```

The Nearley converter also supports an experimental converter for newer JavaScript (ES6+), using the `--es6` flag:

```bash
git clone https://github.com/Hardmath123/nearley
python -m lark.tools.nearley nearley/examples/calculator/arithmetic.ne main nearley --es6 > ncalc.py
```

## Notes

- Lark currently cannot import templates from Nearley

- Lark currently cannot export grammars to Nearley

These might get added in the future, if enough users ask for them.

+ 59
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# Parsers
Lark implements the following parsing algorithms: Earley, LALR(1), and CYK

## Earley

An [Earley Parser](https://www.wikiwand.com/en/Earley_parser) is a chart parser capable of parsing any context-free grammar at O(n^3), and O(n^2) when the grammar is unambiguous. It can parse most LR grammars at O(n). Most programming languages are LR, and can be parsed at a linear time.

Lark's Earley implementation runs on top of a skipping chart parser, which allows it to use regular expressions, instead of matching characters one-by-one. This is a huge improvement to Earley that is unique to Lark. This feature is used by default, but can also be requested explicitly using `lexer='dynamic'`.

It's possible to bypass the dynamic lexing, and use the regular Earley parser with a traditional lexer, that tokenizes as an independent first step. Doing so will provide a speed benefit, but will tokenize without using Earley's ambiguity-resolution ability. So choose this only if you know why! Activate with `lexer='standard'`

**SPPF & Ambiguity resolution**

Lark implements the Shared Packed Parse Forest data-structure for the Earley parser, in order to reduce the space and computation required to handle ambiguous grammars.

You can read more about SPPF [here](https://web.archive.org/web/20191229100607/www.bramvandersanden.com/post/2014/06/shared-packed-parse-forest)

As a result, Lark can efficiently parse and store every ambiguity in the grammar, when using Earley.

Lark provides the following options to combat ambiguity:

1) Lark will choose the best derivation for you (default). Users can choose between different disambiguation strategies, and can prioritize (or demote) individual rules over others, using the rule-priority syntax.

2) Users may choose to receive the set of all possible parse-trees (using ambiguity='explicit'), and choose the best derivation themselves. While simple and flexible, it comes at the cost of space and performance, and so it isn't recommended for highly ambiguous grammars, or very long inputs.

3) As an advanced feature, users may use specialized visitors to iterate the SPPF themselves.

**lexer="dynamic_complete"**

Earley's "dynamic" lexer uses regular expressions in order to tokenize the text. It tries every possible combination of terminals, but it matches each terminal exactly once, returning the longest possible match.

That means, for example, that when `lexer="dynamic"` (which is the default), the terminal `/a+/`, when given the text `"aa"`, will return one result, `aa`, even though `a` would also be correct.

This behavior was chosen because it is much faster, and it is usually what you would expect.

Setting `lexer="dynamic_complete"` instructs the lexer to consider every possible regexp match. This ensures that the parser will consider and resolve every ambiguity, even inside the terminals themselves. This lexer provides the same capabilities as scannerless Earley, but with different performance tradeoffs.

Warning: This lexer can be much slower, especially for open-ended terminals such as `/.*/`


## LALR(1)

[LALR(1)](https://www.wikiwand.com/en/LALR_parser) is a very efficient, true-and-tested parsing algorithm. It's incredibly fast and requires very little memory. It can parse most programming languages (For example: Python and Java).

Lark comes with an efficient implementation that outperforms every other parsing library for Python (including PLY)

Lark extends the traditional YACC-based architecture with a *contextual lexer*, which automatically provides feedback from the parser to the lexer, making the LALR(1) algorithm stronger than ever.

The contextual lexer communicates with the parser, and uses the parser's lookahead prediction to narrow its choice of terminals. So at each point, the lexer only matches the subgroup of terminals that are legal at that parser state, instead of all of the terminals. It’s surprisingly effective at resolving common terminal collisions, and allows one to parse languages that LALR(1) was previously incapable of parsing.

(If you're familiar with YACC, you can think of it as automatic lexer-states)

This is an improvement to LALR(1) that is unique to Lark.

## CYK Parser

A [CYK parser](https://www.wikiwand.com/en/CYK_algorithm) can parse any context-free grammar at O(n^3*|G|).

Its too slow to be practical for simple grammars, but it offers good performance for highly ambiguous grammars.

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# Philosophy

Parsers are innately complicated and confusing. They're difficult to understand, difficult to write, and difficult to use. Even experts on the subject can become baffled by the nuances of these complicated state-machines.

Lark's mission is to make the process of writing them as simple and abstract as possible, by following these design principles:

## Design Principles

1. Readability matters

2. Keep the grammar clean and simple

2. Don't force the user to decide on things that the parser can figure out on its own

4. Usability is more important than performance

5. Performance is still very important

6. Follow the Zen of Python, whenever possible and applicable


In accordance with these principles, I arrived at the following design choices:

-----------

## Design Choices

### 1. Separation of code and grammar

Grammars are the de-facto reference for your language, and for the structure of your parse-tree. For any non-trivial language, the conflation of code and grammar always turns out convoluted and difficult to read.

The grammars in Lark are EBNF-inspired, so they are especially easy to read & work with.

### 2. Always build a parse-tree (unless told not to)

Trees are always simpler to work with than state-machines.

1. Trees allow you to see the "state-machine" visually

2. Trees allow your computation to be aware of previous and future states

3. Trees allow you to process the parse in steps, instead of forcing you to do it all at once.

And anyway, every parse-tree can be replayed as a state-machine, so there is no loss of information.

See this answer in more detail [here](https://github.com/erezsh/lark/issues/4).

To improve performance, you can skip building the tree for LALR(1), by providing Lark with a transformer (see the [JSON example](https://github.com/erezsh/lark/blob/master/examples/json_parser.py)).

### 3. Earley is the default

The Earley algorithm can accept *any* context-free grammar you throw at it (i.e. any grammar you can write in EBNF, it can parse). That makes it extremely friendly to beginners, who are not aware of the strange and arbitrary restrictions that LALR(1) places on its grammars.

As the users grow to understand the structure of their grammar, the scope of their target language, and their performance requirements, they may choose to switch over to LALR(1) to gain a huge performance boost, possibly at the cost of some language features.

In short, "Premature optimization is the root of all evil."

### Other design features

- Automatically resolve terminal collisions whenever possible

- Automatically keep track of line & column numbers


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# Recipes

A collection of recipes to use Lark and its various features


## Use a transformer to parse integer tokens

Transformers are the common interface for processing matched rules and tokens.

They can be used during parsing for better performance.

```python
from lark import Lark, Transformer

class T(Transformer):
def INT(self, tok):
"Convert the value of `tok` from string to int, while maintaining line number & column."
return tok.update(value=int(tok))

parser = Lark("""
start: INT*
%import common.INT
%ignore " "
""", parser="lalr", transformer=T())

print(parser.parse('3 14 159'))
```

Prints out:

```python
Tree(start, [Token(INT, 3), Token(INT, 14), Token(INT, 159)])
```


## Collect all comments with lexer_callbacks

`lexer_callbacks` can be used to interface with the lexer as it generates tokens.

It accepts a dictionary of the form

{TOKEN_TYPE: callback}

Where callback is of type `f(Token) -> Token`

It only works with the standard and contextual lexers.

This has the same effect of using a transformer, but can also process ignored tokens.

```python
from lark import Lark

comments = []

parser = Lark("""
start: INT*

COMMENT: /#.*/

%import common (INT, WS)
%ignore COMMENT
%ignore WS
""", parser="lalr", lexer_callbacks={'COMMENT': comments.append})

parser.parse("""
1 2 3 # hello
# world
4 5 6
""")

print(comments)
```

Prints out:

```python
[Token(COMMENT, '# hello'), Token(COMMENT, '# world')]
```

*Note: We don't have to return a token, because comments are ignored*

## CollapseAmbiguities

Parsing ambiguous texts with earley and `ambiguity='explicit'` produces a single tree with `_ambig` nodes to mark where the ambiguity occurred.

However, it's sometimes more convenient instead to work with a list of all possible unambiguous trees.

Lark provides a utility transformer for that purpose:

```python
from lark import Lark, Tree, Transformer
from lark.visitors import CollapseAmbiguities

grammar = """
!start: x y

!x: "a" "b"
| "ab"
| "abc"

!y: "c" "d"
| "cd"
| "d"

"""
parser = Lark(grammar, ambiguity='explicit')

t = parser.parse('abcd')
for x in CollapseAmbiguities().transform(t):
print(x.pretty())
```

This prints out:

start
x
a
b
y
c
d

start
x ab
y cd

start
x abc
y d

While convenient, this should be used carefully, as highly ambiguous trees will soon create an exponential explosion of such unambiguous derivations.


## Keeping track of parents when visiting

The following visitor assigns a `parent` attribute for every node in the tree.

If your tree nodes aren't unique (if there is a shared Tree instance), the assert will fail.

```python
class Parent(Visitor):
def __default__(self, tree):
for subtree in tree.children:
if isinstance(subtree, Tree):
assert not hasattr(subtree, 'parent')
subtree.parent = tree
```

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# https://docs.readthedocs.io/en/stable/guides/specifying-dependencies.html#specifying-a-requirements-file
sphinx-gallery
sphinx_markdown_tables

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# Tree Construction Reference


Lark builds a tree automatically based on the structure of the grammar, where each rule that is matched becomes a branch (node) in the tree, and its children are its matches, in the order of matching.

For example, the rule `node: child1 child2` will create a tree node with two children. If it is matched as part of another rule (i.e. if it isn't the root), the new rule's tree node will become its parent.

Using `item+` or `item*` will result in a list of items, equivalent to writing `item item item ..`.

Using `item?` will return the item if it matched, or nothing.

If `maybe_placeholders=False` (the default), then `[]` behaves like `()?`.

If `maybe_placeholders=True`, then using `[item]` will return the item if it matched, or the value `None`, if it didn't.

## Terminals

Terminals are always values in the tree, never branches.

Lark filters out certain types of terminals by default, considering them punctuation:

- Terminals that won't appear in the tree are:

- Unnamed literals (like `"keyword"` or `"+"`)
- Terminals whose name starts with an underscore (like `_DIGIT`)

- Terminals that *will* appear in the tree are:

- Unnamed regular expressions (like `/[0-9]/`)
- Named terminals whose name starts with a letter (like `DIGIT`)

Note: Terminals composed of literals and other terminals always include the entire match without filtering any part.

**Example:**
```
start: PNAME pname

PNAME: "(" NAME ")"
pname: "(" NAME ")"

NAME: /\w+/
%ignore /\s+/
```
Lark will parse "(Hello) (World)" as:

start
(Hello)
pname World

Rules prefixed with `!` will retain all their literals regardless.




**Example:**

```perl
expr: "(" expr ")"
| NAME+

NAME: /\w+/

%ignore " "
```

Lark will parse "((hello world))" as:

expr
expr
expr
"hello"
"world"

The brackets do not appear in the tree by design. The words appear because they are matched by a named terminal.


## Shaping the tree

Users can alter the automatic construction of the tree using a collection of grammar features.


* Rules whose name begins with an underscore will be inlined into their containing rule.

**Example:**

```perl
start: "(" _greet ")"
_greet: /\w+/ /\w+/
```

Lark will parse "(hello world)" as:

start
"hello"
"world"


* Rules that receive a question mark (?) at the beginning of their definition, will be inlined if they have a single child, after filtering.

**Example:**

```ruby
start: greet greet
?greet: "(" /\w+/ ")"
| /\w+/ /\w+/
```

Lark will parse "hello world (planet)" as:

start
greet
"hello"
"world"
"planet"

* Rules that begin with an exclamation mark will keep all their terminals (they won't get filtered).

```perl
!expr: "(" expr ")"
| NAME+
NAME: /\w+/
%ignore " "
```

Will parse "((hello world))" as:

expr
(
expr
(
expr
hello
world
)
)

Using the `!` prefix is usually a "code smell", and may point to a flaw in your grammar design.

* Aliases - options in a rule can receive an alias. It will be then used as the branch name for the option, instead of the rule name.

**Example:**

```ruby
start: greet greet
greet: "hello"
| "world" -> planet
```

Lark will parse "hello world" as:

start
greet
planet

+ 109
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docs/visitors.rst View File

@@ -0,0 +1,109 @@
Transformers & Visitors
=======================

Transformers & Visitors provide a convenient interface to process the
parse-trees that Lark returns.

They are used by inheriting from the correct class (visitor or transformer),
and implementing methods corresponding to the rule you wish to process. Each
method accepts the children as an argument. That can be modified using the
``v_args`` decorator, which allows one to inline the arguments (akin to ``*args``),
or add the tree ``meta`` property as an argument.

See: `visitors.py`_

.. _visitors.py: https://github.com/lark-parser/lark/blob/master/lark/visitors.py

Visitor
-------

Visitors visit each node of the tree, and run the appropriate method on it according to the node's data.

They work bottom-up, starting with the leaves and ending at the root of the tree.

There are two classes that implement the visitor interface:

- ``Visitor``: Visit every node (without recursion)
- ``Visitor_Recursive``: Visit every node using recursion. Slightly faster.

Example:
::

class IncreaseAllNumbers(Visitor):
def number(self, tree):
assert tree.data == "number"
tree.children[0] += 1

IncreaseAllNumbers().visit(parse_tree)

.. autoclass:: lark.visitors.Visitor
:members: visit, visit_topdown, __default__

.. autoclass:: lark.visitors.Visitor_Recursive
:members: visit, visit_topdown, __default__

Interpreter
-----------

.. autoclass:: lark.visitors.Interpreter


Example:
::

class IncreaseSomeOfTheNumbers(Interpreter):
def number(self, tree):
tree.children[0] += 1

def skip(self, tree):
# skip this subtree. don't change any number node inside it.
pass

IncreaseSomeOfTheNumbers().visit(parse_tree)

Transformer
-----------

.. autoclass:: lark.visitors.Transformer
:members: transform, __default__, __default_token__, __mul__

Example:
::

from lark import Tree, Transformer

class EvalExpressions(Transformer):
def expr(self, args):
return eval(args[0])

t = Tree('a', [Tree('expr', ['1+2'])])
print(EvalExpressions().transform( t ))

# Prints: Tree(a, [3])

Example:
::

class T(Transformer):
INT = int
NUMBER = float
def NAME(self, name):
return lookup_dict.get(name, name)

T(visit_tokens=True).transform(tree)

.. autoclass:: lark.visitors.Transformer_NonRecursive

.. autoclass:: lark.visitors.Transformer_InPlace

.. autoclass:: lark.visitors.Transformer_InPlaceRecursive

v_args
------

.. autofunction:: lark.visitors.v_args

Discard
-------

.. autoclass:: lark.visitors.Discard

+ 0
- 13
doupdate.sh View File

@@ -1,13 +0,0 @@
#!/bin/sh

runtime=$(TZ=UTC date +'%Y-%m-%dT%HZ')

while read repourl name c; do
baseref="gm/$runtime/$name"
mkdir -p "gm/$name"
git ls-remote "$repourl" > "gm/$name/${runtime}.refs.txt"
#dr="--dry-run"
git fetch $dr --no-tags "$repourl" +refs/tags/*:refs/tags/"$baseref/*" +refs/heads/*:refs/heads/"$baseref/*"
done <<EOF
$(python3 reponames.py < repos.txt)
EOF

+ 21
- 0
examples/README.rst View File

@@ -0,0 +1,21 @@
Examples for Lark
=================

**How to run the examples**:

After cloning the repo, open the terminal into the root directory of the
project, and run the following:

.. code:: bash

[lark]$ python -m examples.<name_of_example>

For example, the following will parse all the Python files in the
standard library of your local installation:

.. code:: bash

[lark]$ python -m examples.advanced.python_parser

Beginner Examples
~~~~~~~~~~~~~~~~~

+ 0
- 0
examples/__init__.py View File


+ 2
- 0
examples/advanced/README.rst View File

@@ -0,0 +1,2 @@
Advanced Examples
~~~~~~~~~~~~~~~~~

+ 64
- 0
examples/advanced/_json_parser.py View File

@@ -0,0 +1,64 @@
"""
Simple JSON Parser
==================

The code is short and clear, and outperforms every other parser (that's written in Python).
For an explanation, check out the JSON parser tutorial at /docs/json_tutorial.md

(this is here for use by the other examples)
"""
import sys

from lark import Lark, Transformer, v_args

json_grammar = r"""
?start: value

?value: object
| array
| string
| SIGNED_NUMBER -> number
| "true" -> true
| "false" -> false
| "null" -> null

array : "[" [value ("," value)*] "]"
object : "{" [pair ("," pair)*] "}"
pair : string ":" value

string : ESCAPED_STRING

%import common.ESCAPED_STRING
%import common.SIGNED_NUMBER
%import common.WS

%ignore WS
"""


class TreeToJson(Transformer):
@v_args(inline=True)
def string(self, s):
return s[1:-1].replace('\\"', '"')

array = list
pair = tuple
object = dict
number = v_args(inline=True)(float)

null = lambda self, _: None
true = lambda self, _: True
false = lambda self, _: False


### Create the JSON parser with Lark, using the LALR algorithm
json_parser = Lark(json_grammar, parser='lalr',
# Using the standard lexer isn't required, and isn't usually recommended.
# But, it's good enough for JSON, and it's slightly faster.
lexer='standard',
# Disabling propagate_positions and placeholders slightly improves speed
propagate_positions=False,
maybe_placeholders=False,
# Using an internal transformer is faster and more memory efficient
transformer=TreeToJson())


+ 45
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examples/advanced/conf_earley.py View File

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"""
Earley’s dynamic lexer
======================

Demonstrates the power of Earley’s dynamic lexer on a toy configuration language

Using a lexer for configuration files is tricky, because values don't
have to be surrounded by delimiters. Using a standard lexer for this just won't work.

In this example we use a dynamic lexer and let the Earley parser resolve the ambiguity.

Another approach is to use the contextual lexer with LALR. It is less powerful than Earley,
but it can handle some ambiguity when lexing and it's much faster.
See examples/conf_lalr.py for an example of that approach.

"""
from lark import Lark

parser = Lark(r"""
start: _NL? section+
section: "[" NAME "]" _NL item+
item: NAME "=" VALUE? _NL

NAME: /\w/+
VALUE: /./+

%import common.NEWLINE -> _NL
%import common.WS_INLINE
%ignore WS_INLINE
""", parser="earley")

def test():
sample_conf = """
[bla]

a=Hello
this="that",4
empty=
"""

r = parser.parse(sample_conf)
print (r.pretty())

if __name__ == '__main__':
test()

+ 43
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examples/advanced/conf_lalr.py View File

@@ -0,0 +1,43 @@
"""
LALR’s contextual lexer
=======================

This example demonstrates the power of LALR's contextual lexer,
by parsing a toy configuration language.

The terminals `NAME` and `VALUE` overlap. They can match the same input.
A standard lexer would arbitrarily choose one over the other, based on priority,
which would lead to a (confusing) parse error.
However, due to the unambiguous structure of the grammar, Lark's LALR(1) algorithm knows
which one of them to expect at each point during the parse.
The lexer then only matches the tokens that the parser expects.
The result is a correct parse, something that is impossible with a regular lexer.

Another approach is to use the Earley algorithm.
It will handle more cases than the contextual lexer, but at the cost of performance.
See examples/conf_earley.py for an example of that approach.
"""
from lark import Lark

parser = Lark(r"""
start: _NL? section+
section: "[" NAME "]" _NL item+
item: NAME "=" VALUE? _NL

NAME: /\w/+
VALUE: /./+

%import common.NEWLINE -> _NL
%import common.WS_INLINE
%ignore WS_INLINE
""", parser="lalr")


sample_conf = """
[bla]
a=Hello
this="that",4
empty=
"""

print(parser.parse(sample_conf).pretty())

+ 115
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examples/advanced/create_ast.py View File

@@ -0,0 +1,115 @@
"""
This example demonstrates how to transform a parse-tree into an AST using `lark.ast_utils`.

create_transformer() collects every subclass of `Ast` subclass from the module,
and creates a Lark transformer that builds the AST with no extra code.

This example only works with Python 3.
"""

import sys
from typing import List
from dataclasses import dataclass

from lark import Lark, ast_utils, Transformer, v_args

this_module = sys.modules[__name__]


#
# Define AST
#
class _Ast(ast_utils.Ast):
# This will be skipped by create_transformer(), because it starts with an underscore
pass

class _Statement(_Ast):
# This will be skipped by create_transformer(), because it starts with an underscore
pass

@dataclass
class Value(_Ast):
value: object

@dataclass
class Name(_Ast):
name: str

@dataclass
class CodeBlock(_Ast, ast_utils.AsList):
# Corresponds to code_block in the grammar
statements: List[_Statement]

@dataclass
class If(_Statement):
cond: Value
then: CodeBlock

@dataclass
class SetVar(_Statement):
# Corresponds to set_var in the grammar
name: str
value: Value

@dataclass
class Print(_Statement):
value: Value


class ToAst(Transformer):
# Define extra transformation functions, for rules that don't correspond to an AST class.

def STRING(self, s):
# Remove quotation marks
return s[1:-1]

def DEC_NUMBER(self, n):
return int(n)

@v_args(inline=True)
def start(self, x):
return x

#
# Define Parser
#

parser = Lark("""
start: code_block

code_block: statement+

?statement: if | set_var | print

if: "if" value "{" code_block "}"
set_var: NAME "=" value ";"
print: "print" value ";"

value: name | STRING | DEC_NUMBER
name: NAME

%import python (NAME, STRING, DEC_NUMBER)
%import common.WS
%ignore WS
""",
parser="lalr",
)

transformer = ast_utils.create_transformer(this_module, ToAst())

def parse(text):
tree = parser.parse(text)
return transformer.transform(tree)

#
# Test
#

if __name__ == '__main__':
print(parse("""
a = 1;
if a {
print "a is 1";
a = 2;
}
"""))

+ 57
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examples/advanced/custom_lexer.py View File

@@ -0,0 +1,57 @@
"""
Custom lexer
============

Demonstrates using a custom lexer to parse a non-textual stream of data

You can use a custom lexer to tokenize text when the lexers offered by Lark
are too slow, or not flexible enough.

You can also use it (as shown in this example) to tokenize streams of objects.
"""
from lark import Lark, Transformer, v_args
from lark.lexer import Lexer, Token

class TypeLexer(Lexer):
def __init__(self, lexer_conf):
pass

def lex(self, data):
for obj in data:
if isinstance(obj, int):
yield Token('INT', obj)
elif isinstance(obj, (type(''), type(u''))):
yield Token('STR', obj)
else:
raise TypeError(obj)

parser = Lark("""
start: data_item+
data_item: STR INT*

%declare STR INT
""", parser='lalr', lexer=TypeLexer)


class ParseToDict(Transformer):
@v_args(inline=True)
def data_item(self, name, *numbers):
return name.value, [n.value for n in numbers]

start = dict


def test():
data = ['alice', 1, 27, 3, 'bob', 4, 'carrie', 'dan', 8, 6]

print(data)

tree = parser.parse(data)
res = ParseToDict().transform(tree)

print('-->')
print(res) # prints {'alice': [1, 27, 3], 'bob': [4], 'carrie': [], 'dan': [8, 6]}


if __name__ == '__main__':
test()

+ 37
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examples/advanced/error_handling.py View File

@@ -0,0 +1,37 @@
"""
Error handling using an interactive parser
==========================================

This example demonstrates error handling using an interactive parser in LALR

When the parser encounters an UnexpectedToken exception, it creates a
an interactive parser with the current parse-state, and lets you control how
to proceed step-by-step. When you've achieved the correct parse-state,
you can resume the run by returning True.
"""

from lark import Token

from examples.advanced._json_parser import json_parser

def ignore_errors(e):
if e.token.type == 'COMMA':
# Skip comma
return True
elif e.token.type == 'SIGNED_NUMBER':
# Try to feed a comma and retry the number
e.interactive_parser.feed_token(Token('COMMA', ','))
e.interactive_parser.feed_token(e.token)
return True

# Unhandled error. Will stop parse and raise exception
return False


def main():
s = "[0 1, 2,, 3,,, 4, 5 6 ]"
res = json_parser.parse(s, on_error=ignore_errors)
print(res) # prints [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0]

main()


+ 79
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examples/advanced/error_reporting_earley.py View File

@@ -0,0 +1,79 @@
"""
Example-Driven Error Reporting
==============================

A demonstration of example-driven error reporting with the Earley parser
(See also: error_reporting_lalr.py)
"""
from lark import Lark, UnexpectedInput

from _json_parser import json_grammar # Using the grammar from the json_parser example

json_parser = Lark(json_grammar)

class JsonSyntaxError(SyntaxError):
def __str__(self):
context, line, column = self.args
return '%s at line %s, column %s.\n\n%s' % (self.label, line, column, context)

class JsonMissingValue(JsonSyntaxError):
label = 'Missing Value'

class JsonMissingOpening(JsonSyntaxError):
label = 'Missing Opening'

class JsonMissingClosing(JsonSyntaxError):
label = 'Missing Closing'

class JsonMissingComma(JsonSyntaxError):
label = 'Missing Comma'

class JsonTrailingComma(JsonSyntaxError):
label = 'Trailing Comma'


def parse(json_text):
try:
j = json_parser.parse(json_text)
except UnexpectedInput as u:
exc_class = u.match_examples(json_parser.parse, {
JsonMissingOpening: ['{"foo": ]}',
'{"foor": }}',
'{"foo": }'],
JsonMissingClosing: ['{"foo": [}',
'{',
'{"a": 1',
'[1'],
JsonMissingComma: ['[1 2]',
'[false 1]',
'["b" 1]',
'{"a":true 1:4}',
'{"a":1 1:4}',
'{"a":"b" 1:4}'],
JsonTrailingComma: ['[,]',
'[1,]',
'[1,2,]',
'{"foo":1,}',
'{"foo":false,"bar":true,}']
}, use_accepts=True)
if not exc_class:
raise
raise exc_class(u.get_context(json_text), u.line, u.column)


def test():
try:
parse('{"example1": "value"')
except JsonMissingClosing as e:
print(e)

try:
parse('{"example2": ] ')
except JsonMissingOpening as e:
print(e)


if __name__ == '__main__':
test()



+ 79
- 0
examples/advanced/error_reporting_lalr.py View File

@@ -0,0 +1,79 @@
"""
Example-Driven Error Reporting
==============================

A demonstration of example-driven error reporting with the LALR parser
(See also: error_reporting_earley.py)
"""
from lark import Lark, UnexpectedInput

from _json_parser import json_grammar # Using the grammar from the json_parser example

json_parser = Lark(json_grammar, parser='lalr')

class JsonSyntaxError(SyntaxError):
def __str__(self):
context, line, column = self.args
return '%s at line %s, column %s.\n\n%s' % (self.label, line, column, context)

class JsonMissingValue(JsonSyntaxError):
label = 'Missing Value'

class JsonMissingOpening(JsonSyntaxError):
label = 'Missing Opening'

class JsonMissingClosing(JsonSyntaxError):
label = 'Missing Closing'

class JsonMissingComma(JsonSyntaxError):
label = 'Missing Comma'

class JsonTrailingComma(JsonSyntaxError):
label = 'Trailing Comma'


def parse(json_text):
try:
j = json_parser.parse(json_text)
except UnexpectedInput as u:
exc_class = u.match_examples(json_parser.parse, {
JsonMissingOpening: ['{"foo": ]}',
'{"foor": }}',
'{"foo": }'],
JsonMissingClosing: ['{"foo": [}',
'{',
'{"a": 1',
'[1'],
JsonMissingComma: ['[1 2]',
'[false 1]',
'["b" 1]',
'{"a":true 1:4}',
'{"a":1 1:4}',
'{"a":"b" 1:4}'],
JsonTrailingComma: ['[,]',
'[1,]',
'[1,2,]',
'{"foo":1,}',
'{"foo":false,"bar":true,}']
}, use_accepts=True)
if not exc_class:
raise
raise exc_class(u.get_context(json_text), u.line, u.column)


def test():
try:
parse('{"example1": "value"')
except JsonMissingClosing as e:
print(e)

try:
parse('{"example2": ] ')
except JsonMissingOpening as e:
print(e)


if __name__ == '__main__':
test()



+ 46
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examples/advanced/extend_python.py View File

@@ -0,0 +1,46 @@
"""
Extend the Python Grammar
==============================

This example demonstrates how to use the `%extend` statement,
to add new syntax to the example Python grammar.

"""

from lark.lark import Lark
from python_parser import PythonIndenter

GRAMMAR = r"""
%import .python3 (compound_stmt, single_input, file_input, eval_input, test, suite, _NEWLINE, _INDENT, _DEDENT, COMMENT)

%extend compound_stmt: match_stmt

match_stmt: "match" test ":" cases
cases: _NEWLINE _INDENT case+ _DEDENT

case: "case" test ":" suite // test is not quite correct.

%ignore /[\t \f]+/ // WS
%ignore /\\[\t \f]*\r?\n/ // LINE_CONT
%ignore COMMENT
"""

parser = Lark(GRAMMAR, parser='lalr', start=['single_input', 'file_input', 'eval_input'], postlex=PythonIndenter())

tree = parser.parse(r"""
def name(n):
match n:
case 1:
print("one")
case 2:
print("two")
case _:
print("number is too big")

""", start='file_input')

# Remove the 'python3__' prefix that was add to the implicitely imported rules.
for t in tree.iter_subtrees():
t.data = t.data.rsplit('__', 1)[-1]

print(tree.pretty())

+ 72
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examples/advanced/prioritizer.py View File

@@ -0,0 +1,72 @@
"""
Custom SPPF Prioritizer
=======================

This example demonstrates how to subclass ``ForestVisitor`` to make a custom
SPPF node prioritizer to be used in conjunction with ``TreeForestTransformer``.

Our prioritizer will count the number of descendants of a node that are tokens.
By negating this count, our prioritizer will prefer nodes with fewer token
descendants. Thus, we choose the more specific parse.
"""

from lark import Lark
from lark.parsers.earley_forest import ForestVisitor, TreeForestTransformer

class TokenPrioritizer(ForestVisitor):

def visit_symbol_node_in(self, node):
# visit the entire forest by returning node.children
return node.children

def visit_packed_node_in(self, node):
return node.children

def visit_symbol_node_out(self, node):
priority = 0
for child in node.children:
# Tokens do not have a priority attribute
# count them as -1
priority += getattr(child, 'priority', -1)
node.priority = priority

def visit_packed_node_out(self, node):
priority = 0
for child in node.children:
priority += getattr(child, 'priority', -1)
node.priority = priority

def on_cycle(self, node, path):
raise Exception("Oops, we encountered a cycle.")

grammar = """
start: hello " " world | hello_world
hello: "Hello"
world: "World"
hello_world: "Hello World"
"""

parser = Lark(grammar, parser='earley', ambiguity='forest')
forest = parser.parse("Hello World")

print("Default prioritizer:")
tree = TreeForestTransformer(resolve_ambiguity=True).transform(forest)
print(tree.pretty())

forest = parser.parse("Hello World")

print("Custom prioritizer:")
tree = TreeForestTransformer(resolve_ambiguity=True, prioritizer=TokenPrioritizer()).transform(forest)
print(tree.pretty())

# Output:
#
# Default prioritizer:
# start
# hello Hello
#
# world World
#
# Custom prioritizer:
# start
# hello_world Hello World

+ 168
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examples/advanced/python2.lark View File

@@ -0,0 +1,168 @@
// Python 2 grammar for Lark

// NOTE: Work in progress!!! (XXX TODO)
// This grammar should parse all python 2.x code successfully,
// but the resulting parse-tree is still not well-organized.

// Adapted from: https://docs.python.org/2/reference/grammar.html
// Adapted by: Erez Shinan

// Start symbols for the grammar:
// single_input is a single interactive statement;
// file_input is a module or sequence of commands read from an input file;
// eval_input is the input for the eval() and input() functions.
// NB: compound_stmt in single_input is followed by extra _NEWLINE!
single_input: _NEWLINE | simple_stmt | compound_stmt _NEWLINE
?file_input: (_NEWLINE | stmt)*
eval_input: testlist _NEWLINE?

decorator: "@" dotted_name [ "(" [arglist] ")" ] _NEWLINE
decorators: decorator+
decorated: decorators (classdef | funcdef)
funcdef: "def" NAME "(" parameters ")" ":" suite
parameters: [paramlist]
paramlist: param ("," param)* ["," [star_params ["," kw_params] | kw_params]]
| star_params ["," kw_params]
| kw_params
star_params: "*" NAME
kw_params: "**" NAME
param: fpdef ["=" test]
fpdef: NAME | "(" fplist ")"
fplist: fpdef ("," fpdef)* [","]

?stmt: simple_stmt | compound_stmt
?simple_stmt: small_stmt (";" small_stmt)* [";"] _NEWLINE
?small_stmt: (expr_stmt | print_stmt | del_stmt | pass_stmt | flow_stmt
| import_stmt | global_stmt | exec_stmt | assert_stmt)
expr_stmt: testlist augassign (yield_expr|testlist) -> augassign2
| testlist ("=" (yield_expr|testlist))+ -> assign
| testlist

augassign: ("+=" | "-=" | "*=" | "/=" | "%=" | "&=" | "|=" | "^=" | "<<=" | ">>=" | "**=" | "//=")
// For normal assignments, additional restrictions enforced by the interpreter
print_stmt: "print" ( [ test ("," test)* [","] ] | ">>" test [ ("," test)+ [","] ] )
del_stmt: "del" exprlist
pass_stmt: "pass"
?flow_stmt: break_stmt | continue_stmt | return_stmt | raise_stmt | yield_stmt
break_stmt: "break"
continue_stmt: "continue"
return_stmt: "return" [testlist]
yield_stmt: yield_expr
raise_stmt: "raise" [test ["," test ["," test]]]
import_stmt: import_name | import_from
import_name: "import" dotted_as_names
import_from: "from" ("."* dotted_name | "."+) "import" ("*" | "(" import_as_names ")" | import_as_names)
?import_as_name: NAME ["as" NAME]
?dotted_as_name: dotted_name ["as" NAME]
import_as_names: import_as_name ("," import_as_name)* [","]
dotted_as_names: dotted_as_name ("," dotted_as_name)*
dotted_name: NAME ("." NAME)*
global_stmt: "global" NAME ("," NAME)*
exec_stmt: "exec" expr ["in" test ["," test]]
assert_stmt: "assert" test ["," test]

?compound_stmt: if_stmt | while_stmt | for_stmt | try_stmt | with_stmt | funcdef | classdef | decorated
if_stmt: "if" test ":" suite ("elif" test ":" suite)* ["else" ":" suite]
while_stmt: "while" test ":" suite ["else" ":" suite]
for_stmt: "for" exprlist "in" testlist ":" suite ["else" ":" suite]
try_stmt: ("try" ":" suite ((except_clause ":" suite)+ ["else" ":" suite] ["finally" ":" suite] | "finally" ":" suite))
with_stmt: "with" with_item ("," with_item)* ":" suite
with_item: test ["as" expr]
// NB compile.c makes sure that the default except clause is last
except_clause: "except" [test [("as" | ",") test]]
suite: simple_stmt | _NEWLINE _INDENT _NEWLINE? stmt+ _DEDENT _NEWLINE?

// Backward compatibility cruft to support:
// [ x for x in lambda: True, lambda: False if x() ]
// even while also allowing:
// lambda x: 5 if x else 2
// (But not a mix of the two)
testlist_safe: old_test [("," old_test)+ [","]]
old_test: or_test | old_lambdef
old_lambdef: "lambda" [paramlist] ":" old_test

?test: or_test ["if" or_test "else" test] | lambdef
?or_test: and_test ("or" and_test)*
?and_test: not_test ("and" not_test)*
?not_test: "not" not_test | comparison
?comparison: expr (comp_op expr)*
comp_op: "<"|">"|"=="|">="|"<="|"<>"|"!="|"in"|"not" "in"|"is"|"is" "not"
?expr: xor_expr ("|" xor_expr)*
?xor_expr: and_expr ("^" and_expr)*
?and_expr: shift_expr ("&" shift_expr)*
?shift_expr: arith_expr (("<<"|">>") arith_expr)*
?arith_expr: term (("+"|"-") term)*
?term: factor (("*"|"/"|"%"|"//") factor)*
?factor: ("+"|"-"|"~") factor | power
?power: molecule ["**" factor]
// _trailer: "(" [arglist] ")" | "[" subscriptlist "]" | "." NAME
?molecule: molecule "(" [arglist] ")" -> func_call
| molecule "[" [subscriptlist] "]" -> getitem
| molecule "." NAME -> getattr
| atom
?atom: "(" [yield_expr|testlist_comp] ")" -> tuple
| "[" [listmaker] "]"
| "{" [dictorsetmaker] "}"
| "`" testlist1 "`"
| "(" test ")"
| NAME | number | string+
listmaker: test ( list_for | ("," test)* [","] )
?testlist_comp: test ( comp_for | ("," test)+ [","] | ",")
lambdef: "lambda" [paramlist] ":" test
?subscriptlist: subscript ("," subscript)* [","]
subscript: "." "." "." | test | [test] ":" [test] [sliceop]
sliceop: ":" [test]
?exprlist: expr ("," expr)* [","]
?testlist: test ("," test)* [","]
dictorsetmaker: ( (test ":" test (comp_for | ("," test ":" test)* [","])) | (test (comp_for | ("," test)* [","])) )

classdef: "class" NAME ["(" [testlist] ")"] ":" suite

arglist: (argument ",")* (argument [","]
| star_args ["," kw_args]
| kw_args)

star_args: "*" test
kw_args: "**" test


// The reason that keywords are test nodes instead of NAME is that using NAME
// results in an ambiguity. ast.c makes sure it's a NAME.
argument: test [comp_for] | test "=" test

list_iter: list_for | list_if
list_for: "for" exprlist "in" testlist_safe [list_iter]
list_if: "if" old_test [list_iter]

comp_iter: comp_for | comp_if
comp_for: "for" exprlist "in" or_test [comp_iter]
comp_if: "if" old_test [comp_iter]

testlist1: test ("," test)*

yield_expr: "yield" [testlist]

number: DEC_NUMBER | HEX_NUMBER | OCT_NUMBER | FLOAT | IMAG_NUMBER
string: STRING | LONG_STRING
// Tokens

COMMENT: /#[^\n]*/
_NEWLINE: ( /\r?\n[\t ]*/ | COMMENT )+

STRING : /[ubf]?r?("(?!"").*?(?<!\\)(\\\\)*?"|'(?!'').*?(?<!\\)(\\\\)*?')/i
LONG_STRING.2: /[ubf]?r?(""".*?(?<!\\)(\\\\)*?"""|'''.*?(?<!\\)(\\\\)*?''')/is

DEC_NUMBER: /[1-9]\d*l?/i
HEX_NUMBER: /0x[\da-f]*l?/i
OCT_NUMBER: /0o?[0-7]*l?/i
%import common.FLOAT -> FLOAT
%import common.INT -> _INT
%import common.CNAME -> NAME
IMAG_NUMBER: (_INT | FLOAT) ("j"|"J")


%ignore /[\t \f]+/ // WS
%ignore /\\[\t \f]*\r?\n/ // LINE_CONT
%ignore COMMENT
%declare _INDENT _DEDENT


+ 192
- 0
examples/advanced/python3.lark View File

@@ -0,0 +1,192 @@
// Python 3 grammar for Lark

// NOTE: Work in progress!!! (XXX TODO)
// This grammar should parse all python 3.x code successfully,
// but the resulting parse-tree is still not well-organized.

// Adapted from: https://docs.python.org/3/reference/grammar.html
// Adapted by: Erez Shinan

// Start symbols for the grammar:
// single_input is a single interactive statement;
// file_input is a module or sequence of commands read from an input file;
// eval_input is the input for the eval() functions.
// NB: compound_stmt in single_input is followed by extra NEWLINE!
single_input: _NEWLINE | simple_stmt | compound_stmt _NEWLINE
file_input: (_NEWLINE | stmt)*
eval_input: testlist _NEWLINE*

decorator: "@" dotted_name [ "(" [arguments] ")" ] _NEWLINE
decorators: decorator+
decorated: decorators (classdef | funcdef | async_funcdef)

async_funcdef: "async" funcdef
funcdef: "def" NAME "(" parameters? ")" ["->" test] ":" suite

parameters: paramvalue ("," paramvalue)* ["," SLASH] ["," [starparams | kwparams]]
| starparams
| kwparams

SLASH: "/" // Otherwise the it will completely disappear and it will be undisguisable in the result
starparams: "*" typedparam? ("," paramvalue)* ["," kwparams]
kwparams: "**" typedparam

?paramvalue: typedparam ["=" test]
?typedparam: NAME [":" test]

varargslist: (vfpdef ["=" test] ("," vfpdef ["=" test])* ["," [ "*" [vfpdef] ("," vfpdef ["=" test])* ["," ["**" vfpdef [","]]] | "**" vfpdef [","]]]
| "*" [vfpdef] ("," vfpdef ["=" test])* ["," ["**" vfpdef [","]]]
| "**" vfpdef [","])

vfpdef: NAME

?stmt: simple_stmt | compound_stmt
?simple_stmt: small_stmt (";" small_stmt)* [";"] _NEWLINE
?small_stmt: (expr_stmt | del_stmt | pass_stmt | flow_stmt | import_stmt | global_stmt | nonlocal_stmt | assert_stmt)
?expr_stmt: testlist_star_expr (annassign | augassign (yield_expr|testlist)
| ("=" (yield_expr|testlist_star_expr))*)
annassign: ":" test ["=" test]
?testlist_star_expr: (test|star_expr) ("," (test|star_expr))* [","]
!augassign: ("+=" | "-=" | "*=" | "@=" | "/=" | "%=" | "&=" | "|=" | "^=" | "<<=" | ">>=" | "**=" | "//=")
// For normal and annotated assignments, additional restrictions enforced by the interpreter
del_stmt: "del" exprlist
pass_stmt: "pass"
?flow_stmt: break_stmt | continue_stmt | return_stmt | raise_stmt | yield_stmt
break_stmt: "break"
continue_stmt: "continue"
return_stmt: "return" [testlist]
yield_stmt: yield_expr
raise_stmt: "raise" [test ["from" test]]
import_stmt: import_name | import_from
import_name: "import" dotted_as_names
// note below: the ("." | "...") is necessary because "..." is tokenized as ELLIPSIS
import_from: "from" (dots? dotted_name | dots) "import" ("*" | "(" import_as_names ")" | import_as_names)
!dots: "."+
import_as_name: NAME ["as" NAME]
dotted_as_name: dotted_name ["as" NAME]
import_as_names: import_as_name ("," import_as_name)* [","]
dotted_as_names: dotted_as_name ("," dotted_as_name)*
dotted_name: NAME ("." NAME)*
global_stmt: "global" NAME ("," NAME)*
nonlocal_stmt: "nonlocal" NAME ("," NAME)*
assert_stmt: "assert" test ["," test]

compound_stmt: if_stmt | while_stmt | for_stmt | try_stmt | with_stmt | funcdef | classdef | decorated | async_stmt
async_stmt: "async" (funcdef | with_stmt | for_stmt)
if_stmt: "if" test ":" suite ("elif" test ":" suite)* ["else" ":" suite]
while_stmt: "while" test ":" suite ["else" ":" suite]
for_stmt: "for" exprlist "in" testlist ":" suite ["else" ":" suite]
try_stmt: ("try" ":" suite ((except_clause ":" suite)+ ["else" ":" suite] ["finally" ":" suite] | "finally" ":" suite))
with_stmt: "with" with_item ("," with_item)* ":" suite
with_item: test ["as" expr]
// NB compile.c makes sure that the default except clause is last
except_clause: "except" [test ["as" NAME]]
suite: simple_stmt | _NEWLINE _INDENT stmt+ _DEDENT

?test: or_test ("if" or_test "else" test)? | lambdef
?test_nocond: or_test | lambdef_nocond
lambdef: "lambda" [varargslist] ":" test
lambdef_nocond: "lambda" [varargslist] ":" test_nocond
?or_test: and_test ("or" and_test)*
?and_test: not_test ("and" not_test)*
?not_test: "not" not_test -> not
| comparison
?comparison: expr (_comp_op expr)*
star_expr: "*" expr
?expr: xor_expr ("|" xor_expr)*
?xor_expr: and_expr ("^" and_expr)*
?and_expr: shift_expr ("&" shift_expr)*
?shift_expr: arith_expr (_shift_op arith_expr)*
?arith_expr: term (_add_op term)*
?term: factor (_mul_op factor)*
?factor: _factor_op factor | power

!_factor_op: "+"|"-"|"~"
!_add_op: "+"|"-"
!_shift_op: "<<"|">>"
!_mul_op: "*"|"@"|"/"|"%"|"//"
// <> isn't actually a valid comparison operator in Python. It's here for the
// sake of a __future__ import described in PEP 401 (which really works :-)
!_comp_op: "<"|">"|"=="|">="|"<="|"<>"|"!="|"in"|"not" "in"|"is"|"is" "not"

?power: await_expr ("**" factor)?
?await_expr: AWAIT? atom_expr
AWAIT: "await"

?atom_expr: atom_expr "(" [arguments] ")" -> funccall
| atom_expr "[" subscriptlist "]" -> getitem
| atom_expr "." NAME -> getattr
| atom

?atom: "(" [yield_expr|tuplelist_comp] ")" -> tuple
| "[" [testlist_comp] "]" -> list
| "{" [dict_comp] "}" -> dict
| "{" set_comp "}" -> set
| NAME -> var
| number | string+
| "(" test ")"
| "..." -> ellipsis
| "None" -> const_none
| "True" -> const_true
| "False" -> const_false

?testlist_comp: test | tuplelist_comp
tuplelist_comp: (test|star_expr) (comp_for | ("," (test|star_expr))+ [","] | ",")
?subscriptlist: subscript
| subscript (("," subscript)+ [","] | ",") -> subscript_tuple
subscript: test | ([test] ":" [test] [sliceop]) -> slice
sliceop: ":" [test]
exprlist: (expr|star_expr)
| (expr|star_expr) (("," (expr|star_expr))+ [","]|",") -> exprlist_tuple
testlist: test | testlist_tuple
testlist_tuple: test (("," test)+ [","] | ",")
dict_comp: key_value comp_for
| (key_value | "**" expr) ("," (key_value | "**" expr))* [","]

key_value: test ":" test

set_comp: test comp_for
| (test|star_expr) ("," (test | star_expr))* [","]

classdef: "class" NAME ["(" [arguments] ")"] ":" suite

arguments: argvalue ("," argvalue)* ("," [ starargs | kwargs])?
| starargs
| kwargs
| test comp_for

starargs: "*" test ("," "*" test)* ("," argvalue)* ["," kwargs]
kwargs: "**" test

?argvalue: test ("=" test)?



comp_iter: comp_for | comp_if | async_for
async_for: "async" "for" exprlist "in" or_test [comp_iter]
comp_for: "for" exprlist "in" or_test [comp_iter]
comp_if: "if" test_nocond [comp_iter]

// not used in grammar, but may appear in "node" passed from Parser to Compiler
encoding_decl: NAME

yield_expr: "yield" [yield_arg]
yield_arg: "from" test | testlist


number: DEC_NUMBER | HEX_NUMBER | BIN_NUMBER | OCT_NUMBER | FLOAT_NUMBER | IMAG_NUMBER
string: STRING | LONG_STRING

// Import terminals from standard library (grammars/python.lark)
%import python (NAME, COMMENT, STRING, LONG_STRING)
%import python (DEC_NUMBER, HEX_NUMBER, OCT_NUMBER, BIN_NUMBER, FLOAT_NUMBER, IMAG_NUMBER)

// Other terminals

_NEWLINE: ( /\r?\n[\t ]*/ | COMMENT )+

%ignore /[\t \f]+/ // WS
%ignore /\\[\t \f]*\r?\n/ // LINE_CONT
%ignore COMMENT
%declare _INDENT _DEDENT


+ 81
- 0
examples/advanced/python_bytecode.py View File

@@ -0,0 +1,81 @@
"""
Compile Python to Bytecode
==========================
A toy example that compiles Python directly to bytecode, without generating an AST.
It currently only works for very very simple Python code.

It requires the 'bytecode' library. You can get it using
::

$ pip install bytecode

"""
from lark import Lark, Transformer, v_args
from lark.indenter import Indenter

from bytecode import Instr, Bytecode

class PythonIndenter(Indenter):
NL_type = '_NEWLINE'
OPEN_PAREN_types = ['LPAR', 'LSQB', 'LBRACE']
CLOSE_PAREN_types = ['RPAR', 'RSQB', 'RBRACE']
INDENT_type = '_INDENT'
DEDENT_type = '_DEDENT'
tab_len = 8


@v_args(inline=True)
class Compile(Transformer):
def number(self, n):
return [Instr('LOAD_CONST', int(n))]
def string(self, s):
return [Instr('LOAD_CONST', s[1:-1])]
def var(self, n):
return [Instr('LOAD_NAME', n)]

def arith_expr(self, a, op, b):
# TODO support chain arithmetic
assert op == '+'
return a + b + [Instr('BINARY_ADD')]

def arguments(self, args):
return args

def funccall(self, name, args):
return name + args + [Instr('CALL_FUNCTION', 1)]

@v_args(inline=False)
def file_input(self, stmts):
return sum(stmts, []) + [Instr("RETURN_VALUE")]

def expr_stmt(self, lval, rval):
# TODO more complicated than that
name ,= lval
assert name.name == 'LOAD_NAME' # XXX avoid with another layer of abstraction
return rval + [Instr("STORE_NAME", name.arg)]

def __default__(self, *args):
assert False, args


python_parser3 = Lark.open('python3.lark', rel_to=__file__, start='file_input',
parser='lalr', postlex=PythonIndenter(),
transformer=Compile(), propagate_positions=False)

def compile_python(s):
insts = python_parser3.parse(s+"\n")
return Bytecode(insts).to_code()

code = compile_python("""
a = 3
b = 5
print("Hello World!")
print(a+(b+2))
print((a+b)+2)
""")
exec(code)
# -- Output --
# Hello World!
# 10
# 10

+ 86
- 0
examples/advanced/python_parser.py View File

@@ -0,0 +1,86 @@
"""
Grammar-complete Python Parser
==============================

A fully-working Python 2 & 3 parser (but not production ready yet!)

This example demonstrates usage of the included Python grammars
"""
import sys
import os, os.path
from io import open
import glob, time

from lark import Lark
from lark.indenter import Indenter

# __path__ = os.path.dirname(__file__)

class PythonIndenter(Indenter):
NL_type = '_NEWLINE'
OPEN_PAREN_types = ['LPAR', 'LSQB', 'LBRACE']
CLOSE_PAREN_types = ['RPAR', 'RSQB', 'RBRACE']
INDENT_type = '_INDENT'
DEDENT_type = '_DEDENT'
tab_len = 8

kwargs = dict(rel_to=__file__, postlex=PythonIndenter(), start='file_input')

python_parser2 = Lark.open('python2.lark', parser='lalr', **kwargs)
python_parser3 = Lark.open('python3.lark',parser='lalr', **kwargs)
python_parser2_earley = Lark.open('python2.lark', parser='earley', lexer='standard', **kwargs)

try:
xrange
except NameError:
chosen_parser = python_parser3
else:
chosen_parser = python_parser2


def _read(fn, *args):
kwargs = {'encoding': 'iso-8859-1'}
with open(fn, *args, **kwargs) as f:
return f.read()

def _get_lib_path():
if os.name == 'nt':
if 'PyPy' in sys.version:
return os.path.join(sys.prefix, 'lib-python', sys.winver)
else:
return os.path.join(sys.prefix, 'Lib')
else:
return [x for x in sys.path if x.endswith('%s.%s' % sys.version_info[:2])][0]

def test_python_lib():
path = _get_lib_path()

start = time.time()
files = glob.glob(path+'/*.py')
total_kb = 0
for f in files:
r = _read(os.path.join(path, f))
kb = len(r) / 1024
print( '%s -\t%.1f kb' % (f, kb))
chosen_parser.parse(r + '\n')
total_kb += kb

end = time.time()
print( "test_python_lib (%d files, %.1f kb), time: %.2f secs"%(len(files), total_kb, end-start) )

def test_earley_equals_lalr():
path = _get_lib_path()

files = glob.glob(path+'/*.py')
for f in files:
print( f )
tree1 = python_parser2.parse(_read(os.path.join(path, f)) + '\n')
tree2 = python_parser2_earley.parse(_read(os.path.join(path, f)) + '\n')
assert tree1 == tree2


if __name__ == '__main__':
test_python_lib()
# test_earley_equals_lalr()
# python_parser3.parse(_read(sys.argv[1]) + '\n')


+ 205
- 0
examples/advanced/qscintilla_json.py View File

@@ -0,0 +1,205 @@
"""
Syntax Highlighting
===================

This example shows how to write a syntax-highlighted editor with Qt and Lark

Requirements:

PyQt5==5.10.1
QScintilla==2.10.4
"""

import sys
import textwrap

from PyQt5.Qt import * # noqa

from PyQt5.Qsci import QsciScintilla
from PyQt5.Qsci import QsciLexerCustom

from lark import Lark


class LexerJson(QsciLexerCustom):

def __init__(self, parent=None):
super().__init__(parent)
self.create_parser()
self.create_styles()

def create_styles(self):
deeppink = QColor(249, 38, 114)
khaki = QColor(230, 219, 116)
mediumpurple = QColor(174, 129, 255)
mediumturquoise = QColor(81, 217, 205)
yellowgreen = QColor(166, 226, 46)
lightcyan = QColor(213, 248, 232)
darkslategrey = QColor(39, 40, 34)

styles = {
0: mediumturquoise,
1: mediumpurple,
2: yellowgreen,
3: deeppink,
4: khaki,
5: lightcyan
}

for style, color in styles.items():
self.setColor(color, style)
self.setPaper(darkslategrey, style)
self.setFont(self.parent().font(), style)

self.token_styles = {
"COLON": 5,
"COMMA": 5,
"LBRACE": 5,
"LSQB": 5,
"RBRACE": 5,
"RSQB": 5,
"FALSE": 0,
"NULL": 0,
"TRUE": 0,
"STRING": 4,
"NUMBER": 1,
}

def create_parser(self):
grammar = '''
anons: ":" "{" "}" "," "[" "]"
TRUE: "true"
FALSE: "false"
NULL: "NULL"
%import common.ESCAPED_STRING -> STRING
%import common.SIGNED_NUMBER -> NUMBER
%import common.WS
%ignore WS
'''

self.lark = Lark(grammar, parser=None, lexer='standard')
# All tokens: print([t.name for t in self.lark.parser.lexer.tokens])

def defaultPaper(self, style):
return QColor(39, 40, 34)

def language(self):
return "Json"

def description(self, style):
return {v: k for k, v in self.token_styles.items()}.get(style, "")

def styleText(self, start, end):
self.startStyling(start)
text = self.parent().text()[start:end]
last_pos = 0

try:
for token in self.lark.lex(text):
ws_len = token.pos_in_stream - last_pos
if ws_len:
self.setStyling(ws_len, 0) # whitespace

token_len = len(bytearray(token, "utf-8"))
self.setStyling(
token_len, self.token_styles.get(token.type, 0))

last_pos = token.pos_in_stream + token_len
except Exception as e:
print(e)


class EditorAll(QsciScintilla):

def __init__(self, parent=None):
super().__init__(parent)

# Set font defaults
font = QFont()
font.setFamily('Consolas')
font.setFixedPitch(True)
font.setPointSize(8)
font.setBold(True)
self.setFont(font)

# Set margin defaults
fontmetrics = QFontMetrics(font)
self.setMarginsFont(font)
self.setMarginWidth(0, fontmetrics.width("000") + 6)
self.setMarginLineNumbers(0, True)
self.setMarginsForegroundColor(QColor(128, 128, 128))
self.setMarginsBackgroundColor(QColor(39, 40, 34))
self.setMarginType(1, self.SymbolMargin)
self.setMarginWidth(1, 12)

# Set indentation defaults
self.setIndentationsUseTabs(False)
self.setIndentationWidth(4)
self.setBackspaceUnindents(True)
self.setIndentationGuides(True)

# self.setFolding(QsciScintilla.CircledFoldStyle)

# Set caret defaults
self.setCaretForegroundColor(QColor(247, 247, 241))
self.setCaretWidth(2)

# Set selection color defaults
self.setSelectionBackgroundColor(QColor(61, 61, 52))
self.resetSelectionForegroundColor()

# Set multiselection defaults
self.SendScintilla(QsciScintilla.SCI_SETMULTIPLESELECTION, True)
self.SendScintilla(QsciScintilla.SCI_SETMULTIPASTE, 1)
self.SendScintilla(
QsciScintilla.SCI_SETADDITIONALSELECTIONTYPING, True)

lexer = LexerJson(self)
self.setLexer(lexer)


EXAMPLE_TEXT = textwrap.dedent("""\
{
"_id": "5b05ffcbcf8e597939b3f5ca",
"about": "Excepteur consequat commodo esse voluptate aute aliquip ad sint deserunt commodo eiusmod irure. Sint aliquip sit magna duis eu est culpa aliqua excepteur ut tempor nulla. Aliqua ex pariatur id labore sit. Quis sit ex aliqua veniam exercitation laboris anim adipisicing. Lorem nisi reprehenderit ullamco labore qui sit ut aliqua tempor consequat pariatur proident.",
"address": "665 Malbone Street, Thornport, Louisiana, 243",
"age": 23,
"balance": "$3,216.91",
"company": "BULLJUICE",
"email": "elisekelley@bulljuice.com",
"eyeColor": "brown",
"gender": "female",
"guid": "d3a6d865-0f64-4042-8a78-4f53de9b0707",
"index": 0,
"isActive": false,
"isActive2": true,
"latitude": -18.660714,
"longitude": -85.378048,
"name": "Elise Kelley",
"phone": "+1 (808) 543-3966",
"picture": "http://placehold.it/32x32",
"registered": "2017-09-30T03:47:40 -02:00",
"tags": [
"et",
"nostrud",
"in",
"fugiat",
"incididunt",
"labore",
"nostrud"
]
}\
""")

def main():
app = QApplication(sys.argv)
ex = EditorAll()
ex.setWindowTitle(__file__)
ex.setText(EXAMPLE_TEXT)
ex.resize(800, 600)
ex.show()
sys.exit(app.exec_())


if __name__ == "__main__":
main()

+ 50
- 0
examples/advanced/reconstruct_json.py View File

@@ -0,0 +1,50 @@
"""
Reconstruct a JSON
==================

Demonstrates the experimental text-reconstruction feature

The Reconstructor takes a parse tree (already filtered from punctuation, of course),
and reconstructs it into correct text, that can be parsed correctly.
It can be useful for creating "hooks" to alter data before handing it to other parsers. You can also use it to generate samples from scratch.
"""

import json

from lark import Lark
from lark.reconstruct import Reconstructor

from _json_parser import json_grammar

test_json = '''
{
"empty_object" : {},
"empty_array" : [],
"booleans" : { "YES" : true, "NO" : false },
"numbers" : [ 0, 1, -2, 3.3, 4.4e5, 6.6e-7 ],
"strings" : [ "This", [ "And" , "That", "And a \\"b" ] ],
"nothing" : null
}
'''

def test_earley():

json_parser = Lark(json_grammar, maybe_placeholders=False)
tree = json_parser.parse(test_json)

new_json = Reconstructor(json_parser).reconstruct(tree)
print (new_json)
print (json.loads(new_json) == json.loads(test_json))


def test_lalr():

json_parser = Lark(json_grammar, parser='lalr', maybe_placeholders=False)
tree = json_parser.parse(test_json)

new_json = Reconstructor(json_parser).reconstruct(tree)
print (new_json)
print (json.loads(new_json) == json.loads(test_json))

test_earley()
test_lalr()

+ 72
- 0
examples/advanced/reconstruct_python.py View File

@@ -0,0 +1,72 @@
"""
Reconstruct Python
==================

Demonstrates how Lark's experimental text-reconstruction feature can recreate
functional Python code from its parse-tree, using just the correct grammar and
a small formatter.

"""

from lark import Token
from lark.reconstruct import Reconstructor

from python_parser import python_parser3


SPACE_AFTER = set(',+-*/~@<>="|:')
SPACE_BEFORE = (SPACE_AFTER - set(',:')) | set('\'')


def special(sym):
return Token('SPECIAL', sym.name)

def postproc(items):
stack = ['\n']
actions = []
last_was_whitespace = True
for item in items:
if isinstance(item, Token) and item.type == 'SPECIAL':
actions.append(item.value)
else:
if actions:
assert actions[0] == '_NEWLINE' and '_NEWLINE' not in actions[1:], actions

for a in actions[1:]:
if a == '_INDENT':
stack.append(stack[-1] + ' ' * 4)
else:
assert a == '_DEDENT'
stack.pop()
actions.clear()
yield stack[-1]
last_was_whitespace = True
if not last_was_whitespace:
if item[0] in SPACE_BEFORE:
yield ' '
yield item
last_was_whitespace = item[-1].isspace()
if not last_was_whitespace:
if item[-1] in SPACE_AFTER:
yield ' '
last_was_whitespace = True
yield "\n"


python_reconstruct = Reconstructor(python_parser3, {'_NEWLINE': special, '_DEDENT': special, '_INDENT': special})


def test():
self_contents = open(__file__).read()

tree = python_parser3.parse(self_contents+'\n')
output = python_reconstruct.reconstruct(tree, postproc)

tree_new = python_parser3.parse(output)
assert tree == tree_new

print(output)


if __name__ == '__main__':
test()

+ 56
- 0
examples/advanced/template_lark.lark View File

@@ -0,0 +1,56 @@
start: (_item | _NL)*

_item: rule
| token
| statement

_rule_or_token: RULE
| TOKEN
rule: RULE rule_params priority? ":" expansions{_rule_or_token} _NL
token: TOKEN priority? ":" expansions{TOKEN} _NL

rule_params: ["{" RULE ("," RULE)* "}"]

priority: "." NUMBER

statement: "%ignore" expansions{TOKEN} _NL -> ignore
| "%import" import_path{_rule_or_token} ["->" _rule_or_token] _NL -> import
| "%import" import_path{_rule_or_token} name_list{_rule_or_token} _NL -> multi_import
| "%declare" TOKEN+ -> declare

!import_path{name}: "."? name ("." name)*
name_list{name}: "(" name ("," name)* ")"

?expansions{name}: alias{name} (_VBAR alias{name})*

?alias{name}: expansion{name} ["->" RULE]

?expansion{name}: expr{name}*

?expr{name}: atom{name} [OP | "~" NUMBER [".." NUMBER]]

?atom{name}: "(" expansions{name} ")"
| "[" expansions{name} "]" -> maybe
| value{name}

?value{name}: STRING ".." STRING -> literal_range
| name
| (REGEXP | STRING) -> literal
| name "{" value{name} ("," value{name})* "}" -> template_usage

_VBAR: _NL? "|"
OP: /[+*]|[?](?![a-z])/
RULE: /!?[_?]?[a-z][_a-z0-9]*/
TOKEN: /_?[A-Z][_A-Z0-9]*/
STRING: _STRING "i"?
REGEXP: /\/(?!\/)(\\\/|\\\\|[^\/\n])*?\/[imslux]*/
_NL: /(\r?\n)+\s*/

%import common.ESCAPED_STRING -> _STRING
%import common.INT -> NUMBER
%import common.WS_INLINE

COMMENT: /\s*/ "//" /[^\n]/*

%ignore WS_INLINE
%ignore COMMENT

+ 29
- 0
examples/advanced/templates.py View File

@@ -0,0 +1,29 @@
"""
Templates
=========

This example shows how to use Lark's templates to achieve cleaner grammars

"""
from lark import Lark

grammar = r"""
start: list | dict

list: "[" _seperated{atom, ","} "]"
dict: "{" _seperated{key_value, ","} "}"
key_value: atom ":" atom

_seperated{x, sep}: x (sep x)* // Define a sequence of 'x sep x sep x ...'

atom: NUMBER | ESCAPED_STRING

%import common (NUMBER, ESCAPED_STRING, WS)
%ignore WS
"""


parser = Lark(grammar)

print(parser.parse('[1, "a", 2]'))
print(parser.parse('{"a": 2, "b": 6}'))

+ 58
- 0
examples/advanced/tree_forest_transformer.py View File

@@ -0,0 +1,58 @@
"""
Transform a Forest
==================

This example demonstrates how to subclass ``TreeForestTransformer`` to
directly transform a SPPF.
"""

from lark import Lark
from lark.parsers.earley_forest import TreeForestTransformer, handles_ambiguity, Discard

class CustomTransformer(TreeForestTransformer):

@handles_ambiguity
def sentence(self, trees):
return next(tree for tree in trees if tree.data == 'simple')

def simple(self, children):
children.append('.')
return self.tree_class('simple', children)

def adj(self, children):
raise Discard()

def __default_token__(self, token):
return token.capitalize()

grammar = """
sentence: noun verb noun -> simple
| noun verb "like" noun -> comparative

noun: adj? NOUN
verb: VERB
adj: ADJ

NOUN: "flies" | "bananas" | "fruit"
VERB: "like" | "flies"
ADJ: "fruit"

%import common.WS
%ignore WS
"""

parser = Lark(grammar, start='sentence', ambiguity='forest')
sentence = 'fruit flies like bananas'
forest = parser.parse(sentence)

tree = CustomTransformer(resolve_ambiguity=False).transform(forest)
print(tree.pretty())

# Output:
#
# simple
# noun Flies
# verb Like
# noun Bananas
# .
#

+ 82
- 0
examples/calc.py View File

@@ -0,0 +1,82 @@
"""
Basic calculator
================

A simple example of a REPL calculator

This example shows how to write a basic calculator with variables.
"""
from lark import Lark, Transformer, v_args


try:
input = raw_input # For Python2 compatibility
except NameError:
pass


calc_grammar = """
?start: sum
| NAME "=" sum -> assign_var

?sum: product
| sum "+" product -> add
| sum "-" product -> sub

?product: atom
| product "*" atom -> mul
| product "/" atom -> div

?atom: NUMBER -> number
| "-" atom -> neg
| NAME -> var
| "(" sum ")"

%import common.CNAME -> NAME
%import common.NUMBER
%import common.WS_INLINE

%ignore WS_INLINE
"""


@v_args(inline=True) # Affects the signatures of the methods
class CalculateTree(Transformer):
from operator import add, sub, mul, truediv as div, neg
number = float

def __init__(self):
self.vars = {}

def assign_var(self, name, value):
self.vars[name] = value
return value

def var(self, name):
try:
return self.vars[name]
except KeyError:
raise Exception("Variable not found: %s" % name)


calc_parser = Lark(calc_grammar, parser='lalr', transformer=CalculateTree())
calc = calc_parser.parse


def main():
while True:
try:
s = input('> ')
except EOFError:
break
print(calc(s))


def test():
print(calc("a = 1+2"))
print(calc("1+a*-3"))


if __name__ == '__main__':
# test()
main()

BIN
examples/fruitflies.png View File

Before After
Width: 1002  |  Height: 491  |  Size: 92 KiB

+ 58
- 0
examples/fruitflies.py View File

@@ -0,0 +1,58 @@
"""
Handling Ambiguity
==================

A demonstration of ambiguity

This example shows how to use get explicit ambiguity from Lark's Earley parser.

"""
import sys
from lark import Lark, tree

grammar = """
sentence: noun verb noun -> simple
| noun verb "like" noun -> comparative

noun: adj? NOUN
verb: VERB
adj: ADJ

NOUN: "flies" | "bananas" | "fruit"
VERB: "like" | "flies"
ADJ: "fruit"

%import common.WS
%ignore WS
"""

parser = Lark(grammar, start='sentence', ambiguity='explicit')

sentence = 'fruit flies like bananas'

def make_png(filename):
tree.pydot__tree_to_png( parser.parse(sentence), filename)

def make_dot(filename):
tree.pydot__tree_to_dot( parser.parse(sentence), filename)

if __name__ == '__main__':
print(parser.parse(sentence).pretty())
# make_png(sys.argv[1])
# make_dot(sys.argv[1])

# Output:
#
# _ambig
# comparative
# noun fruit
# verb flies
# noun bananas
# simple
# noun
# fruit
# flies
# verb like
# noun bananas
#
# (or view a nicer version at "./fruitflies.png")

+ 55
- 0
examples/indented_tree.py View File

@@ -0,0 +1,55 @@
"""
Parsing Indentation
===================

A demonstration of parsing indentation (“whitespace significant” language)
and the usage of the Indenter class.

Since indentation is context-sensitive, a postlex stage is introduced to
manufacture INDENT/DEDENT tokens.

It is crucial for the indenter that the NL_type matches
the spaces (and tabs) after the newline.
"""
from lark import Lark
from lark.indenter import Indenter

tree_grammar = r"""
?start: _NL* tree

tree: NAME _NL [_INDENT tree+ _DEDENT]

%import common.CNAME -> NAME
%import common.WS_INLINE
%declare _INDENT _DEDENT
%ignore WS_INLINE

_NL: /(\r?\n[\t ]*)+/
"""

class TreeIndenter(Indenter):
NL_type = '_NL'
OPEN_PAREN_types = []
CLOSE_PAREN_types = []
INDENT_type = '_INDENT'
DEDENT_type = '_DEDENT'
tab_len = 8

parser = Lark(tree_grammar, parser='lalr', postlex=TreeIndenter())

test_tree = """
a
b
c
d
e
f
g
"""

def test():
print(parser.parse(test_tree).pretty())

if __name__ == '__main__':
test()


+ 91
- 0
examples/json_parser.py View File

@@ -0,0 +1,91 @@
"""
Simple JSON Parser
==================

The code is short and clear, and outperforms every other parser (that's written in Python).
For an explanation, check out the JSON parser tutorial at /docs/json_tutorial.md
"""
import sys

from lark import Lark, Transformer, v_args

json_grammar = r"""
?start: value

?value: object
| array
| string
| SIGNED_NUMBER -> number
| "true" -> true
| "false" -> false
| "null" -> null

array : "[" [value ("," value)*] "]"
object : "{" [pair ("," pair)*] "}"
pair : string ":" value

string : ESCAPED_STRING

%import common.ESCAPED_STRING
%import common.SIGNED_NUMBER
%import common.WS

%ignore WS
"""


class TreeToJson(Transformer):
@v_args(inline=True)
def string(self, s):
return s[1:-1].replace('\\"', '"')

array = list
pair = tuple
object = dict
number = v_args(inline=True)(float)

null = lambda self, _: None
true = lambda self, _: True
false = lambda self, _: False


### Create the JSON parser with Lark, using the Earley algorithm
# json_parser = Lark(json_grammar, parser='earley', lexer='standard')
# def parse(x):
# return TreeToJson().transform(json_parser.parse(x))

### Create the JSON parser with Lark, using the LALR algorithm
json_parser = Lark(json_grammar, parser='lalr',
# Using the standard lexer isn't required, and isn't usually recommended.
# But, it's good enough for JSON, and it's slightly faster.
lexer='standard',
# Disabling propagate_positions and placeholders slightly improves speed
propagate_positions=False,
maybe_placeholders=False,
# Using an internal transformer is faster and more memory efficient
transformer=TreeToJson())
parse = json_parser.parse


def test():
test_json = '''
{
"empty_object" : {},
"empty_array" : [],
"booleans" : { "YES" : true, "NO" : false },
"numbers" : [ 0, 1, -2, 3.3, 4.4e5, 6.6e-7 ],
"strings" : [ "This", [ "And" , "That", "And a \\"b" ] ],
"nothing" : null
}
'''

j = parse(test_json)
print(j)
import json
assert j == json.loads(test_json)


if __name__ == '__main__':
# test()
with open(sys.argv[1]) as f:
print(parse(f.read()))

+ 37
- 0
examples/lark_grammar.py View File

@@ -0,0 +1,37 @@
"""
Lark Grammar
============

A reference implementation of the Lark grammar (using LALR(1))
"""
import lark
from pathlib import Path

examples_path = Path(__file__).parent
lark_path = Path(lark.__file__).parent

parser = lark.Lark.open(lark_path / 'grammars/lark.lark', rel_to=__file__, parser="lalr")


grammar_files = [
examples_path / 'advanced/python2.lark',
examples_path / 'advanced/python3.lark',
examples_path / 'relative-imports/multiples.lark',
examples_path / 'relative-imports/multiple2.lark',
examples_path / 'relative-imports/multiple3.lark',
examples_path / 'tests/no_newline_at_end.lark',
examples_path / 'tests/negative_priority.lark',
examples_path / 'standalone/json.lark',
lark_path / 'grammars/common.lark',
lark_path / 'grammars/lark.lark',
lark_path / 'grammars/unicode.lark',
lark_path / 'grammars/python.lark',
]

def test():
for grammar_file in grammar_files:
tree = parser.parse(open(grammar_file).read())
print("All grammars parsed successfully")

if __name__ == '__main__':
test()

+ 1
- 0
examples/relative-imports/multiple2.lark View File

@@ -0,0 +1 @@
start: ("0" | "1")* "0"

+ 5
- 0
examples/relative-imports/multiple3.lark View File

@@ -0,0 +1,5 @@
start: mod0mod0+

mod0mod0: "0" | "1" mod1mod0
mod1mod0: "1" | "0" mod2mod1 mod1mod0
mod2mod1: "0" | "1" mod2mod1

+ 5
- 0
examples/relative-imports/multiples.lark View File

@@ -0,0 +1,5 @@
start: "2:" multiple2
| "3:" multiple3

%import .multiple2.start -> multiple2
%import .multiple3.start -> multiple3

+ 28
- 0
examples/relative-imports/multiples.py View File

@@ -0,0 +1,28 @@
#
# This example demonstrates relative imports with rule rewrite
# see multiples.lark
#

#
# if b is a number written in binary, and m is either 2 or 3,
# the grammar aims to recognise m:b iif b is a multiple of m
#
# for example, 3:1001 is recognised
# because 9 (0b1001) is a multiple of 3
#

from lark import Lark, UnexpectedInput

parser = Lark.open('multiples.lark', parser='lalr')

def is_in_grammar(data):
try:
parser.parse(data)
except UnexpectedInput:
return False
return True

for n_dec in range(100):
n_bin = bin(n_dec)[2:]
assert is_in_grammar('2:{}'.format(n_bin)) == (n_dec % 2 == 0)
assert is_in_grammar('3:{}'.format(n_bin)) == (n_dec % 3 == 0)

+ 2
- 0
examples/standalone/create_standalone.sh View File

@@ -0,0 +1,2 @@
#!/bin/sh
PYTHONPATH=../.. python -m lark.tools.standalone json.lark > json_parser.py

+ 21
- 0
examples/standalone/json.lark View File

@@ -0,0 +1,21 @@
?start: value

?value: object
| array
| string
| SIGNED_NUMBER -> number
| "true" -> true
| "false" -> false
| "null" -> null

array : "[" [value ("," value)*] "]"
object : "{" [pair ("," pair)*] "}"
pair : string ":" value

string : ESCAPED_STRING

%import common.ESCAPED_STRING
%import common.SIGNED_NUMBER
%import common.WS

%ignore WS

+ 2356
- 0
examples/standalone/json_parser.py
File diff suppressed because it is too large
View File


+ 25
- 0
examples/standalone/json_parser_main.py View File

@@ -0,0 +1,25 @@
import sys

from json_parser import Lark_StandAlone, Transformer, inline_args

class TreeToJson(Transformer):
@inline_args
def string(self, s):
return s[1:-1].replace('\\"', '"')

array = list
pair = tuple
object = dict
number = inline_args(float)

null = lambda self, _: None
true = lambda self, _: True
false = lambda self, _: False


parser = Lark_StandAlone(transformer=TreeToJson())

if __name__ == '__main__':
with open(sys.argv[1]) as f:
print(parser.parse(f.read()))


+ 2
- 0
examples/tests/negative_priority.lark View File

@@ -0,0 +1,2 @@
start: r
r.-1: "a"

+ 1
- 0
examples/tests/no_newline_at_end.lark View File

@@ -0,0 +1 @@
start: "a"

+ 90
- 0
examples/turtle_dsl.py View File

@@ -0,0 +1,90 @@
"""
Turtle DSL
==========

Implements a LOGO-like toy language for Python’s turtle, with interpreter.
"""

try:
input = raw_input # For Python2 compatibility
except NameError:
pass

import turtle

from lark import Lark

turtle_grammar = """
start: instruction+

instruction: MOVEMENT NUMBER -> movement
| "c" COLOR [COLOR] -> change_color
| "fill" code_block -> fill
| "repeat" NUMBER code_block -> repeat

code_block: "{" instruction+ "}"

MOVEMENT: "f"|"b"|"l"|"r"
COLOR: LETTER+

%import common.LETTER
%import common.INT -> NUMBER
%import common.WS
%ignore WS
"""

parser = Lark(turtle_grammar)

def run_instruction(t):
if t.data == 'change_color':
turtle.color(*t.children) # We just pass the color names as-is

elif t.data == 'movement':
name, number = t.children
{ 'f': turtle.fd,
'b': turtle.bk,
'l': turtle.lt,
'r': turtle.rt, }[name](int(number))

elif t.data == 'repeat':
count, block = t.children
for i in range(int(count)):
run_instruction(block)

elif t.data == 'fill':
turtle.begin_fill()
run_instruction(t.children[0])
turtle.end_fill()

elif t.data == 'code_block':
for cmd in t.children:
run_instruction(cmd)
else:
raise SyntaxError('Unknown instruction: %s' % t.data)


def run_turtle(program):
parse_tree = parser.parse(program)
for inst in parse_tree.children:
run_instruction(inst)

def main():
while True:
code = input('> ')
try:
run_turtle(code)
except Exception as e:
print(e)

def test():
text = """
c red yellow
fill { repeat 36 {
f200 l170
}}
"""
run_turtle(text)

if __name__ == '__main__':
# test()
main()

+ 12
- 0
lark-stubs/__init__.pyi View File

@@ -0,0 +1,12 @@
# -*- coding: utf-8 -*-

from .tree import *
from .visitors import *
from .exceptions import *
from .lexer import *
from .load_grammar import *
from .lark import *
from logging import Logger as _Logger

logger: _Logger
__version__: str = ...

+ 17
- 0
lark-stubs/ast_utils.pyi View File

@@ -0,0 +1,17 @@
import types
from typing import Optional

from .visitors import Transformer

class Ast(object):
pass

class AsList(object):
pass


def create_transformer(
ast_module: types.ModuleType,
transformer: Optional[Transformer]=None
) -> Transformer:
...

+ 65
- 0
lark-stubs/exceptions.pyi View File

@@ -0,0 +1,65 @@
# -*- coding: utf-8 -*-

from typing import Dict, Iterable, Callable, Union, TypeVar, Tuple, Any, List, Set
from .tree import Tree
from .lexer import Token
from .parsers.lalr_interactive_parser import InteractiveParser

class LarkError(Exception):
pass


class ConfigurationError(LarkError, ValueError):
pass


class GrammarError(LarkError):
pass


class ParseError(LarkError):
pass


class LexError(LarkError):
pass


T = TypeVar('T')

class UnexpectedEOF(ParseError):
expected: List[Token]

class UnexpectedInput(LarkError):
line: int
column: int
pos_in_stream: int
state: Any

def get_context(self, text: str, span: int = ...) -> str:
...

def match_examples(
self,
parse_fn: Callable[[str], Tree],
examples: Union[Dict[T, Iterable[str]], Iterable[Tuple[T, Iterable[str]]]],
token_type_match_fallback: bool = False,
use_accepts: bool = False,
) -> T:
...


class UnexpectedToken(ParseError, UnexpectedInput):
expected: Set[str]
considered_rules: Set[str]
interactive_parser: InteractiveParser
accepts: Set[str]

class UnexpectedCharacters(LexError, UnexpectedInput):
allowed: Set[str]
considered_tokens: Set[Any]


class VisitError(LarkError):
obj: Union[Tree, Token]
orig_exc: Exception

+ 14
- 0
lark-stubs/grammar.pyi View File

@@ -0,0 +1,14 @@
from typing import Optional, Tuple


class RuleOptions:
keep_all_tokens: bool
expand1: bool
priority: int
template_source: Optional[str]
empty_indices: Tuple[bool, ...]


class Symbol:
name: str
is_term: bool

+ 47
- 0
lark-stubs/indenter.pyi View File

@@ -0,0 +1,47 @@
# -*- coding: utf-8 -*-

from typing import Tuple, List, Iterator, Optional
from abc import ABC, abstractmethod
from .lexer import Token
from .lark import PostLex


class Indenter(PostLex, ABC):
paren_level: Optional[int]
indent_level: Optional[List[int]]

def __init__(self) -> None:
...

def handle_NL(self, token: Token) -> Iterator[Token]:
...

@property
@abstractmethod
def NL_type(self) -> str:
...

@property
@abstractmethod
def OPEN_PAREN_types(self) -> List[str]:
...

@property
@abstractmethod
def CLOSE_PAREN_types(self) -> List[str]:
...

@property
@abstractmethod
def INDENT_type(self) -> str:
...

@property
@abstractmethod
def DEDENT_type(self) -> str:
...

@property
@abstractmethod
def tab_len(self) -> int:
...

+ 109
- 0
lark-stubs/lark.pyi View File

@@ -0,0 +1,109 @@
# -*- coding: utf-8 -*-

from typing import (
TypeVar, Type, List, Dict, IO, Iterator, Callable, Union, Optional,
Literal, Protocol, Tuple, Iterable,
)

from .parsers.lalr_interactive_parser import InteractiveParser
from .visitors import Transformer
from .lexer import Token, Lexer, TerminalDef
from .tree import Tree
from .exceptions import UnexpectedInput
from .load_grammar import Grammar

_T = TypeVar('_T')


class PostLex(Protocol):

def process(self, stream: Iterator[Token]) -> Iterator[Token]:
...

always_accept: Iterable[str]


class LarkOptions:
start: List[str]
parser: str
lexer: str
transformer: Optional[Transformer]
postlex: Optional[PostLex]
ambiguity: str
regex: bool
debug: bool
keep_all_tokens: bool
propagate_positions: bool
maybe_placeholders: bool
lexer_callbacks: Dict[str, Callable[[Token], Token]]
cache: Union[bool, str]
g_regex_flags: int
use_bytes: bool
import_paths: List[Union[str, Callable[[Union[None, str, PackageResource], str], Tuple[str, str]]]]
source_path: Optional[str]


class PackageResource(object):
pkg_name: str
path: str

def __init__(self, pkg_name: str, path: str): ...


class FromPackageLoader:
def __init__(self, pkg_name: str, search_paths: Tuple[str, ...] = ...): ...

def __call__(self, base_path: Union[None, str, PackageResource], grammar_path: str) -> Tuple[PackageResource, str]: ...


class Lark:
source_path: str
source_grammar: str
grammar: Grammar
options: LarkOptions
lexer: Lexer
terminals: List[TerminalDef]

def __init__(
self,
grammar: Union[Grammar, str, IO[str]],
*,
start: Union[None, str, List[str]] = "start",
parser: Literal["earley", "lalr", "cyk", "auto"] = "auto",
lexer: Union[Literal["auto", "standard", "contextual", "dynamic", "dynamic_complete"], Type[Lexer]] = "auto",
transformer: Optional[Transformer] = None,
postlex: Optional[PostLex] = None,
ambiguity: Literal["explicit", "resolve"] = "resolve",
regex: bool = False,
debug: bool = False,
keep_all_tokens: bool = False,
propagate_positions: bool = False,
maybe_placeholders: bool = False,
lexer_callbacks: Optional[Dict[str, Callable[[Token], Token]]] = None,
cache: Union[bool, str] = False,
g_regex_flags: int = ...,
use_bytes: bool = False,
import_paths: List[Union[str, Callable[[Union[None, str, PackageResource], str], Tuple[str, str]]]] = ...,
source_path: Optional[str]=None,
):
...

def parse(self, text: str, start: Optional[str] = None, on_error: Callable[[UnexpectedInput], bool] = None) -> Tree:
...

def parse_interactive(self, text: str = None, start: Optional[str] = None) -> InteractiveParser:
...

@classmethod
def open(cls: Type[_T], grammar_filename: str, rel_to: Optional[str] = None, **options) -> _T:
...

@classmethod
def open_from_package(cls: Type[_T], package: str, grammar_path: str, search_paths: Tuple[str, ...] = ..., **options) -> _T:
...

def lex(self, text: str, dont_ignore: bool = False) -> Iterator[Token]:
...

def get_terminal(self, name: str) -> TerminalDef:
...

+ 161
- 0
lark-stubs/lexer.pyi View File

@@ -0,0 +1,161 @@
# -*- coding: utf-8 -*-
from types import ModuleType
from typing import (
TypeVar, Type, Tuple, List, Dict, Iterator, Collection, Callable, Optional, FrozenSet, Any,
Pattern as REPattern,
)
from abc import abstractmethod, ABC

_T = TypeVar('_T')


class Pattern(ABC):
value: str
flags: Collection[str]
raw: str
type: str

def __init__(self, value: str, flags: Collection[str] = (), raw: str = None) -> None:
...

@abstractmethod
def to_regexp(self) -> str:
...

@property
@abstractmethod
def min_width(self) -> int:
...

@property
@abstractmethod
def max_width(self) -> int:
...


class PatternStr(Pattern):
type: str = ...

def to_regexp(self) -> str:
...

@property
def min_width(self) -> int:
...

@property
def max_width(self) -> int:
...


class PatternRE(Pattern):
type: str = ...

def to_regexp(self) -> str:
...

@property
def min_width(self) -> int:
...

@property
def max_width(self) -> int:
...


class TerminalDef:
name: str
pattern: Pattern
priority: int

def __init__(self, name: str, pattern: Pattern, priority: int = ...) -> None:
...

def user_repr(self) -> str: ...


class Token(str):
type: str
pos_in_stream: int
value: Any
line: int
column: int
end_line: int
end_column: int
end_pos: int

def __init__(self, type_: str, value: Any, pos_in_stream: int = None, line: int = None, column: int = None, end_line: int = None, end_column: int = None, end_pos: int = None) -> None:
...

def update(self, type_: Optional[str] = None, value: Optional[Any] = None) -> Token:
...

@classmethod
def new_borrow_pos(cls: Type[_T], type_: str, value: Any, borrow_t: Token) -> _T:
...


_Callback = Callable[[Token], Token]


class Lexer(ABC):
lex: Callable[..., Iterator[Token]]


class LexerConf:
tokens: Collection[TerminalDef]
re_module: ModuleType
ignore: Collection[str] = ()
postlex: Any =None
callbacks: Optional[Dict[str, _Callback]] = None
g_regex_flags: int = 0
skip_validation: bool = False
use_bytes: bool = False



class TraditionalLexer(Lexer):
terminals: Collection[TerminalDef]
ignore_types: FrozenSet[str]
newline_types: FrozenSet[str]
user_callbacks: Dict[str, _Callback]
callback: Dict[str, _Callback]
mres: List[Tuple[REPattern, Dict[int, str]]]
re: ModuleType

def __init__(
self,
conf: LexerConf
) -> None:
...

def build(self) -> None:
...

def match(self, stream: str, pos: int) -> Optional[Tuple[str, str]]:
...

def lex(self, stream: str) -> Iterator[Token]:
...

def next_token(self, lex_state: Any, parser_state: Any = None) -> Token:
...

class ContextualLexer(Lexer):
lexers: Dict[str, TraditionalLexer]
root_lexer: TraditionalLexer

def __init__(
self,
terminals: Collection[TerminalDef],
states: Dict[str, Collection[str]],
re_: ModuleType,
ignore: Collection[str] = ...,
always_accept: Collection[str] = ...,
user_callbacks: Dict[str, _Callback] = ...,
g_regex_flags: int = ...
) -> None:
...

def lex(self, stream: str, get_parser_state: Callable[[], str]) -> Iterator[Token]:
...

+ 30
- 0
lark-stubs/load_grammar.pyi View File

@@ -0,0 +1,30 @@
from typing import List, Tuple, Union, Callable, Dict, Optional

from .tree import Tree
from .grammar import RuleOptions
from .exceptions import UnexpectedInput


class Grammar:
rule_defs: List[Tuple[str, Tuple[str, ...], Tree, RuleOptions]]
term_defs: List[Tuple[str, Tuple[Tree, int]]]
ignore: List[str]


class GrammarBuilder:
global_keep_all_tokens: bool
import_paths: List[Union[str, Callable]]

def __init__(self, global_keep_all_tokens: bool = False, import_paths: List[Union[str, Callable]] = None) -> None: ...

def load_grammar(self, grammar_text: str, grammar_name: str = ..., mangle: Callable[[str], str] = None) -> None: ...

def do_import(self, dotted_path: Tuple[str, ...], base_path: Optional[str], aliases: Dict[str, str],
base_mangle: Callable[[str], str] = None) -> None: ...

def validate(self) -> None: ...

def build(self) -> Grammar: ...


def find_grammar_errors(text: str, start: str='start') -> List[Tuple[UnexpectedInput, str]]: ...

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