lark | Lark is a parsing toolkit for Python , built with a focus | Parser library
kandi X-RAY | lark Summary
kandi X-RAY | lark Summary
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity. 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.
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Top functions reviewed by kandi - BETA
- Generate the LARK code for lark
- Remove docstrings from a line
- Extract section names
- Updates the target widget
- Calculate set symbols from grammar
- Determine if two sets are equal
- Parses the lexer
- Convert a tree node to a tree
- Decorator to register visitor functions
- Apply vargs
- Create a child filter
- Returns whether this widget is a child of this widget
- Create a Transformer from ast_module
- Transform a packed node
- Expand expansion tree
- Create a new element from a string
- Parse json_text
- Merge the given transformer
- Feed a token
- Create a grammar rule
- Builds recons rules
- Creates grammar for a near - lark grammar
- Transform the given tree
- Toggle or off the element
- Calculate the score of a tree
- Create styles
lark Key Features
lark Examples and Code Snippets
package lark
import "github.com/go-lark/lark"
const copyFileAPIPattern = "/open-apis/drive/explorer/v2/file/copy/files/%s"
// CopyFileResponse .
type CopyFileResponse struct {
lark.BaseResponse
Data CopyFileData `json:"data"`
}
// CopyFileData
r := gin.Default()
middleware := larkgin.NewLarkMiddleware()
middleware.BindURLPrefix("/handle") // supposed URL is http://your.domain.com/handle
r.Use(middleware.LarkChallengeHandler())
r := gin.Default()
middleware := larkgin.NewLarkMiddleware()
m
// initialize a chat bot with appID and appSecret
bot := lark.NewChatBot(appID, appSecret)
// Renew access token periodically
bot.StartHeartbeat()
// Stop renewal
bot.StopHeartbeat()
bot := lark.NewChatBot(appID, appSecret)
resp, err := bot.GetTenan
?start : expr
token : WORD
repeat_token : token ":" INT
tokens : (token | repeat_token | expr)+
repeat : ":" INT
expr : "(" tokens ")" repeat?
class Parser:
grammar = r'''
start : STRING EOL
STRING : /\w+/
EOL : /\n/
'''
import abc
class Rule(metaclass=abc.ABCMeta):
@abc.abstractmethod
def parse(self, data):
"""Returns a generator of (result, remaining) tuples.
Parses data and returns all possible tuples of result (of parsing so far)
from lark import Lark, Tree, Visitor, Tree, Token, UnexpectedInput
import requests
import pandas as pd
grammar = requests.get(
"https://raw.githubusercontent.com/zbrookle/sql_to_ibis/main/sql_to_ibis/grammar/sql.lark"
).text
parser =
string = """ beGIn west WEST north//comment1 \n
north north west East east south\n
// comment west\n
{\n
comment\n
}\n end
"""
tokens = []
tmp = ''
skip = False
for i, peek in enumerate(string.lower()):
if peek == '{':
calendar_year -> full_year | year
year -> 19\d{,2} | 20\d{,2}
full_year -> day/month/year | day.month.year
day -> digit_num | two_digit_num
month -> digit_num | two_digit_num
digit_num -> 0 | 1 | 2 ... |9
with open(...) as f:
json_text = f.read()
# remove everything from '/*' to '*/' as long as it is either
# - a '*' character that is *not* followed by '/'
# - any character that is not '*'
without_comments = re.sub(r"/\*(?:\*(?!/)|[^*])
Community Discussions
Trending Discussions on lark
QUESTION
So i have trimmed my Go code below for better understanding as I am using libraries to implement this.
Basically what I am trying to do is receive a JSON text, trim it into a certain format and pass it over to createTicket function.
Everything works fine and my createTicket function creates it with the correct subject field from replyText, however createTicket runs almost 2-3x everytime I feed a JSON into my application and my debug print message prints few times.
On the backend createTicket will create a ticket on my system and 2-3 new tickets appear when I have only fed the system a JSON only once during my testing.
...ANSWER
Answered 2022-Mar-08 at 21:55I was missing go in handleMessage(bot, msg, client)
It should be go handleMessage(bot, msg, client)
to call the routine once.
This fixed my issue.
QUESTION
I built a web-crawler, here is an example of one of the pages that it crawls:
https://www.baseball-reference.com/register/player.fcgi?id=buckle002jos
I only want to get the rows that contain 'NCAA' or 'NAIA' or 'NWDS' in them. Currently the following code gets all of the rows on the page and my attempt at filtering it does not quite work.
Here is the code for the crawler:
...ANSWER
Answered 2022-Mar-06 at 20:20Problem is because you check
QUESTION
I'm using the lark parser with python. I'd like to use EOL as part of the grammar since it is line oriented. I'm getting an error when I try to put the regex in for matching EOL. I see some examples like this:
...ANSWER
Answered 2022-Feb-05 at 21:54I forgot about needing to use raw strings. had to add an "r". the new code looks like:
QUESTION
I've looked at quite a few grammar parsers, but none of them seem to be able to generate all parsings of an ambiguous grammar. (I've also checked these questions, which don't provide any helpful solutions to my problem.)
How can I go about generating all the parsings of an ambiguous grammar?
For example, imagine my (ambiguous) grammar is
...ANSWER
Answered 2022-Jan-24 at 23:16Depending on how complicated your grammar is, you can probably just implement it yourself. Most libraries optimize to help with ambiguity, but if you want all the options, you can just do a simple recursion:
QUESTION
I use vuejs and ckeditor.
I get an error when I go to the page with ckeditor. The editor does not display on the page at all.
Can you help me please?
TypeError: Cannot read properties of null (reading 'getAttribute') at IconView._updateXMLContent (app.js:89727:24) at IconView.render (app.js:89703:8) at IconView. (app.js:107630:32) at IconView.fire (app.js:105106:30) at IconView. [as render] (app.js:107634:16) at ViewCollection._renderViewIntoCollectionParent (app.js:98321:9) at ViewCollection. (app.js:98182:9) at ViewCollection.fire (app.js:105106:30) at ViewCollection.addMany (app.js:101049:9) at ViewCollection.add (app.js:101014:15)
here is my dependencies
...ANSWER
Answered 2022-Jan-23 at 22:47I came across the same error and managed to find the solution. You may also solve the problem, so I'll share the way.
In your webpack file(I assume it's webpack.mix.js in your laravel project root), set targetSVG /(.(png|jpe?g|gif|webp|avif)$|^((?!font).).svg$)/ instead of /(.(png|jpe?g|gif|webp)$|^((?!font).).svg$)/.
QUESTION
Following up from an earlier question, I'm a bit confused about the precedence of the /.+/
regex line; I would expect the below test to produce
ANSWER
Answered 2022-Jan-18 at 18:55In Lark, priorities mean different things for rules and for terminals.
Just a quick reminder, rules have lowercase names, while terminals have UPPERCASE names.
In LALR mode, priorities on rules only affect which one is chosen in case of a reduce/reduce collision. It has no effect on the terminals inside it.
What you want is to change the priority on the terminal itself:
QUESTION
I'm trying to write a simple grammar to parse text with multi-line sections.. I'm not able to wrap my head around how to do it. Here's the grammar that I've written so far - would appreciate any help here.
ps: I realize that lark is overkill for this problem but this is just a very simplified version of what I'm trying to parse.
...ANSWER
Answered 2022-Jan-17 at 14:56The problem is that your content
regex can match anywhere with any length, meaning that the rest of the grammar can't work correctly. Instead you should have a terminal restricted to a single line and give it a lower priority then the rest.
QUESTION
I've been trying to install PyTorch 1.9 with Cuda (ideally 11) on my HPC but I cannot.
The cluster says:
...ANSWER
Answered 2021-Sep-23 at 06:45First of all, as @Francois suggested, try to uninstall the CPU only version of pytorch. Also in your installation script, you should use either conda
or pip3
.
Then you may want to try the following attempts:
- using
conda
: addconda-forge
channel to your command (conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia -c conda-forge
). And make sureconda
is updated. - using
pip
: insert--no-cache-dir
into your command (pip3 --no-cache-dir install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
) to avoid theMemoryError
.
QUESTION
I'm trying install npm install --save \ mini-css-extract-plugin \ css-loader but i'm getting this error in my webpack,can someone help me out with whats the issue here? is it webpack ver or the node_modules
?
package.json
ANSWER
Answered 2021-Sep-18 at 21:49MiniCssExtractPlugin requires webpack 5 to work.
Starting from version 2.0.0 minimum supported webpack version is 5.0.0
As an option, you can try to use MiniCssExtractPlugin version 1.6.2. Also consider upgrading to webpack5, but raw-loader plugin is deprecated as well as terser-webpack-plugin
QUESTION
I am trying to use lark to extract some information from perl files. For that, I need a basic understanding of what a statement is. The issue I came across are "Here Document" strings. I would describe them as multiline strings with custom delimiters, like:
...ANSWER
Answered 2021-Aug-17 at 07:54A solution using a regexp. Key ingredients:
- back references, in this case named references
- the /s modifier (causes . to also match newlines
- .*? to match non greedy (otherwise it would also consume the delimiter)
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