greenery | FSM/regex conversion library
kandi X-RAY | greenery Summary
kandi X-RAY | greenery Summary
Tools for parsing and manipulating regular expressions (greenery.lego), for producing finite-state machines (greenery.fsm), and for freely converting between the two. Python 3 only. This project was undertaken because I wanted to be able to compute the intersection between two regular expressions. The "intersection" is the set of strings which both regexes will accept, represented as a third regular expression.
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Top functions reviewed by kandi - BETA
- Reduce the set of concs
- Reduce the list
- Return the head of the concs
- Remove concatenation of the concs
- Return True if concs are empty
- Return the common concatenation
- Convert a list of legs to FSM
- Create a state from an FSM
- Convert to FSM format
- Return the alphabet of the sequence
- Concatenate multiset
- Return True if mults are empty
- Subtract the contents of another
- Returns the reversed sequence
- Return the head of the FEDC
- Return True if the FSM is equivalent
- Return the intersection of two multiplicands
- Return the intersection of the two states
- Convert to FSM
- Multiply this multisant
greenery Key Features
greenery Examples and Code Snippets
Community Discussions
Trending Discussions on greenery
QUESTION
I have a dataframe and a list as follows:
...ANSWER
Answered 2022-Apr-08 at 15:22One possible way is to build a regex that matches any last word starting by one of the words of your list. This is more efficient than looping over all the words of your list etc.
QUESTION
// 컬러리스트 선택자 변수
const year = document.querySelector("#copy .year");
const bgColor = document.querySelector("#color_bg");
const bgInnerTitle = document.querySelector("#color_bg h1");
const bgInnerText = document.querySelector("#color_bg p");
// 컬러리스트
const bgText = [
{
year : year.innerText = "2017",
color: bgInnerTitle.innerText = "Greenery",
number: bgInnerText.innerText = "15-0343",
bg: bgColor.style.backgroundColor = "#84bd00"
},
{
year : year.innerText = "2018",
color: bgInnerTitle.innerText = "Ultra Violet",
number: bgInnerText.innerText = "18-3838",
bg: bgColor.style.backgroundColor = "#5f4b8b"
},
{
year : year.innerText = "2019",
color: bgInnerTitle.innerText = "Living Coral",
number: bgInnerText.innerText = "16-1546",
bg: bgColor.style.backgroundColor = "#FF6D70"
},
{
year : year.innerText = "2020",
color: bgInnerTitle.innerText = "Classic Blue",
number: bgInnerText.innerText = "19-4052",
bg: bgColor.style.backgroundColor = "#004680"
}
];
// 버튼
const increase = document.querySelector("#btn .increase");
const decrease = document.querySelector("#btn .decrease");
// 감소버튼
decrease.addEventListener("click", function decreaseYear(event){
let i = 3;
bgText[i -1];
console.log('hi');
});
// 증가버튼
increase.addEventListener("click", function increaseYear(){
console.log('hello');
});
ANSWER
Answered 2021-Oct-13 at 12:44If I'm understanding your question right, you are trying to change all the content in the 4 tags you have selected using query selectors. If that's what you're trying to do, I think you should edit them individually.
Like in your decrease fn:
QUESTION
I have tried many of those solved examples, but I am not able to solve the problem. Everything is showing on localhost except for the background image. I have used sendFile() for referencing style.css file.
test.js
...ANSWER
Answered 2021-Jul-17 at 08:59change you project structure to something like this
QUESTION
I am rather new to programming. I've done a few small projects on my own and have started getting into making webscrapers with Scrapy. I'm trying to make a scraper for Home Depot and have run into issues. The problem this is trying to solve is that the Home Depot webpage has javascript that only loads when you scroll down the page, so I added some code I found that scrolls down the page to reveal all the products so that it can grab the title, review count, and price of each product tile. Before adding this code, it was indeed scraping product info correctly; after adding it I originally had issues with the code only scraping the last page of results, so I moved some things around. I think being new I just don't understand something about objects in Scrapy and how information is passed, particularly the html I'm trying to get it to return values for in parse_product. So far this indeed opens up the page, and goes to the next page, but it's not scraping any products any more. Where am I going wrong? I have been struggling with this for hours, I'm taking a class in webscraping and while I've had some success it seems like if I have to do anything slightly off course it's a massive struggle.
...ANSWER
Answered 2021-Apr-14 at 05:28I don't see where you runs parse_product. It will not execute it automatically for you. Besides function like your parse_product with response is rather to use it in some yield Requests(supage_url, parse_product) to parse data from subpage, not from page which you get in parse. You should rather move code from parse_product into parse like this:
QUESTION
The DFA describing the intersection of two regular expressions can be exponentially large compared to the DFAs of the regular expressions themselves. (Here's a nice Python library for computing it.) Is there a way to compute the size of the DFA for the intersection without needing exponential resources?
...ANSWER
Answered 2020-Feb-24 at 16:26From Wikipedia:
Universality: is LA = Σ* ? […] For regular expressions, the universality problem is NP-complete already for a singleton alphabet.
If I'm reading that right, it says that the problem of determining whether a regular expression generates all strings is known to be NP-complete.
Now, for your problem: consider the case where the two input regular expressions are known to generate the same regular language (perhaps the expressions are identical). Then your problem reduces to this: what is the size of the DFA for this RE? It is relatively straightforward to tell whether a RE generates at least some strings (i.e., whether the language is empty). If the language is not empty, then the minimal DFA corresponding to the RE has one state if and only if the RE generates all strings.
So, if your problem had a general polynomial-time solution, you'd be able to solve universality for regular expressions, which Wikipedia says is not possible.
(If you're not asking about minimal DFAs, but the DFAs produced by a specific minimization technique, I think you'd have to specify the minimization technique).
QUESTION
Basically, I have a text file: -
Plants are mainly multi-cellular. Green plants obtain most of their energy from sunlight via photosynthesis. There are about 320,000 species of plants. Some 260–290 thousand, produce seeds. Green plants produce oxygen.
Green plants occupy a significant amount of land today. We should conserve this greenery around us.
I wanted the output to be:-
oxygen. produce plants Green seeds. produce thousand, 260-290 Some plants. of species 320,000 about are There photosynthesis. via sunlight from energy their of most obtain plants Green multi-cellular. mainly are Plants
us. around greenery this conserve should we today. land of amount significant a occupy plants Green.
I used split() and then used .join() to combine the file, but it ended up reversing the whole thing and not paragraph-wise.
ANSWER
Answered 2020-Jan-20 at 05:43Change
open("testp.txt")toopen("[path to your file]")
QUESTION
const Fruits = [
{name:"Apple", color:"red", type:"fruit", condition:"new"},
{name:"Apple", color:"green", type:"fruit", condition:"new"},
{name:"Banana", color:"yellow", type:"fruit", condition:"new"},
{name:"Banana", color:"green", type:"fruit", condition:"new"},
{name:"Grape", color:"green", type:"fruit", condition:"older"},
{name:"Onion", color:"yellow", type:"greenery", condition:"new"},
]
const filter = ["fruit", "green", "new"];
ANSWER
Answered 2020-Jan-01 at 22:01Use Object.values() to get an Array of the values for each Object as you iterate, and then use .every to test that all values match in the filters Array
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Install greenery
You can use greenery like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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