Tea | waits 6 minutes | Functional Programming library

by x89 Shell Version: Current License: Non-SPDX

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kandi X-RAY | Tea Summary

Tea is a Shell library typically used in Programming Style, Functional Programming applications. Tea has no bugs, it has no vulnerabilities and it has low support. However Tea has a Non-SPDX License. You can download it from GitHub.

Waits 6 minutes then tells you that your tea is now ready. There are more options for other variants of tea! Green tea for example.

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Support

Tea has a low active ecosystem.

It has 18 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 10 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Tea is current.

Quality

Tea has no bugs reported.

Security

Tea has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Tea has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

Tea releases are not available. You will need to build from source code and install.

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Tea Key Features

No Key Features are available at this moment for Tea.

Tea Examples and Code Snippets

No Code Snippets are available at this moment for Tea.

Community Discussions

Trending Discussions on Tea

How does this Zebra solution in prolog work?

How to read csv files correctly using pandas?

I have this IF saying that: if the index of the string is == 0 then make it UpperCase, but the output is index 0 in lowercase

Regex formula to pick up number score from tweet which could occur with "." before "/" sign and after that sign

How to get an element/s containing specified text using Xpath on Jupyter Notebook (Python)?

how should i scrape href links from this website?

How do I know if there are any more solutions?

The image I am adding as a button in Tkinter is not being visible, Where as the text version is visible

Counting all co-occurrences of a large list of nouns and verbs/adjectives within reviews

Counting co-occurrences between nouns and verbs/adjectives

QUESTION

How does this Zebra solution in prolog work?

Asked 2021-Jun-14 at 21:51

zebra_owner(Owner) :-
    houses(Hs),
    member(h(Owner,zebra,_,_,_), Hs).

water_drinker(Drinker) :-
    houses(Hs),
    member(h(Drinker,_,_,water,_), Hs).


houses(Hs) :-
    length(Hs, 5),                                            %  1
    member(h(english,_,_,_,red), Hs),                         %  2
    member(h(spanish,dog,_,_,_), Hs),                         %  3
    member(h(_,_,_,coffee,green), Hs),                        %  4
    member(h(ukrainian,_,_,tea,_), Hs),                       %  5
    adjacent(h(_,_,_,_,green), h(_,_,_,_,white), Hs),         %  6
    member(h(_,snake,winston,_,_), Hs),                       %  7
    member(h(_,_,kool,_,yellow), Hs),                         %  8
    Hs = [_,_,h(_,_,_,milk,_),_,_],                           %  9
    Hs = [h(norwegian,_,_,_,_)|_],                            % 10
    adjacent(h(_,fox,_,_,_), h(_,_,chesterfield,_,_), Hs),        % 11
    adjacent(h(_,_,kool,_,_), h(_,horse,_,_,_), Hs),              % 12
    member(h(_,_,lucky,juice,_), Hs),                         % 13
    member(h(japanese,_,kent,_,_), Hs),                       % 14
    adjacent(h(norwegian,_,_,_,_), h(_,_,_,_,blue), Hs),          % 15
    member(h(_,_,_,water,_), Hs),       % one of them drinks water
    member(h(_,zebra,_,_,_), Hs).       % one of them owns a zebra

adjacent(A, B, Ls) :- append(_, [A,B|_], Ls).
adjacent(A, B, Ls) :- append(_, [B,A|_], Ls).

...

ANSWER

Answered 2021-Jun-14 at 21:46

The houses list Hs is not empty at all, ever. It is created right at the very beginning with

Source https://stackoverflow.com/questions/67975434

QUESTION

How to read csv files correctly using pandas?

Asked 2021-Jun-13 at 15:40

I'm having a csv file like below. I need to check whether the number of columns are greater than the max length of rows. Ex,

...

ANSWER

Answered 2021-Jun-13 at 15:40

You can try put header=None into .read_csv. Then pandas will throw ParserError if number of columns won't match length of rows. For example:

Source https://stackoverflow.com/questions/67956202

QUESTION

I have this IF saying that: if the index of the string is == 0 then make it UpperCase, but the output is index 0 in lowercase

Asked 2021-Jun-09 at 15:49

...

ANSWER

Answered 2021-Jun-09 at 14:49

You need to check if the first index i.e i to be 0 or not, But you are checking equality for the character at 0 i.e I.

Since I is not equal to 0 so it skips the match.

So you need to change from

Source https://stackoverflow.com/questions/67906421

QUESTION

Regex formula to pick up number score from tweet which could occur with "." before "/" sign and after that sign

Asked 2021-Jun-07 at 14:43

I struggle to get the first part of number score occuring before "/" sign in every tweet as below. The problem is that sometimes the score contains decimal like "13.5" or there might be a date written as 9/11 which I do not need.So at the end I need two columns: first with extraction of first part (numerator) of score before "/" sign and in second column to have a denominator occuring after "/" sign, normally it should be always 10. There might be some digits inside the link at the end as well which I do not want to have.

In the first new column I want to get the bolded part only and in second column to catch "/10" part:

This is Bella. She hopes her smile made you smile. If not, she is also offering you her favorite monkey. 13.5/10 https://twitter.com/dog_rates/status/883482846933004288

RT @dog_rates: After so many requests, this is Bretagne. She was the last surviving 9/11 search dog, and our second ever 14/10. RIP https://twitter.com/dog_rates/status/786709082849828864

Here we have a 1949 1st generation vulpix. Enjoys sweat tea and Fox News. Cannot be phased. 5/10 https://twitter.com/dog_rates/status/786709082849828864

This is a western brown Mitsubishi terrier. Upset about leaf. Actually 2 dogs here. 7/10 would walk the shit out of https://twitter.com/dog_rates/status/786709082849828864

I tried to do it as below:

...

ANSWER

Answered 2021-Jun-02 at 12:28

You can match and capture both values that are followed with any amount of non-digit chars until the http string:

Source https://stackoverflow.com/questions/67805049

QUESTION

How to get an element/s containing specified text using Xpath on Jupyter Notebook (Python)?

Asked 2021-Jun-05 at 11:35

I need help with the following task please: For instance this is part of the HTML:

...

ANSWER

Answered 2021-Jun-05 at 11:35

Your first solution does work. So you may need to double check the content in your page.content.

Source https://stackoverflow.com/questions/67848845

QUESTION

how should i scrape href links from this website?

Asked 2021-Jun-04 at 18:38

I'm trying to get every products individual URL link from this link https://www.goodricketea.com/product/darjeeling-tea .How should I do that with beautifulsoup? Is there anyone who can help me?

...

ANSWER

Answered 2021-Jun-04 at 18:38

To get product links from this site, you can for example do:

Source https://stackoverflow.com/questions/67842404

QUESTION

How do I know if there are any more solutions?

Asked 2021-Jun-04 at 08:53

I have done the Einstein's Riddle exercise with linear programming. I implemented this solutions in Gusek. How can i tell if there is more than one solution?

Einsten's riddle:

There are 5 houses in five different colors. In each house lives a person with a different nationality. These five owners drink a certain type of beverage, smoke a certain brand of cigar and keep a certain pet. No owners have the same pet, smoke the same brand of cigar or drink the same beverage.

Constaints:

the Brit lives in the red house

the Swede keeps dogs as pets

the Dane drinks tea

the green house is on the left of the white house

the green house's owner drinks coffee

the person who smokes Pall Mall rears birds

the owner of the yellow house smokes Dunhill

the man living in the center house drinks milk

the Norwegian lives in the first house

the man who smokes blends lives next to the one who keeps cats

the man who keeps horses lives next to the man who smokes Dunhill

the owner who smokes BlueMaster drinks beer

the German smokes Prince

the Norwegian lives next to the blue house

the man who smokes blend has a neighbor who drinks water

Can I tell which constraints are redundant?

Thank you for your help

...

ANSWER

Answered 2021-Jun-04 at 08:53

Your decisions/solution will be in the form of binary or integer varibles.

If they are binary, add in a new constraint like the one below: (Y are all the binaries which were 1 and `Y are binaries which were 0.)

sum(Y) + sum(i-Y) != |Y|+|Y|

Keep repeating this till you get an infeasible model. This can be extended to the integer case too.

As for redundancy, you have to manually try removing them and see if the solution changes. However, in terms of reduncancy, you might have cases where constraint A and B are redundant OR constraint C is redundant. You could have multiple sets of potential redundant constraints depending on which you eliminate.

Source https://stackoverflow.com/questions/67627744

QUESTION

The image I am adding as a button in Tkinter is not being visible, Where as the text version is visible

Asked 2021-May-31 at 06:40

In My project, to customize the buttons, I added image to it...All other buttons are working well with the images, but when i am trying to add image in another screen that is Toplevel of root, the images on the buttons are not visible and not even clickable, here is the code:

...

ANSWER

Answered 2021-May-31 at 06:40

What you can do is use another library called PIL.

For example:

Source https://stackoverflow.com/questions/67768281

QUESTION

Counting all co-occurrences of a large list of nouns and verbs/adjectives within reviews

Asked 2021-May-28 at 16:09

I have a dataframe that contains a large number of reviews, a large list with noun words (1000) and another large list with verbs/adjectives (1000).

Example dataframe and lists:

...

ANSWER

Answered 2021-May-28 at 16:09

I think you may need to use a couple of libraries to make your life easier. In this example I'm using nltk and collections, apart from pandas of course:

Source https://stackoverflow.com/questions/67740979

QUESTION

Counting co-occurrences between nouns and verbs/adjectives

Asked 2021-May-28 at 14:08

I have a dataframe which contains reviews, as well as two lists, one which stores nouns and the other storing verbs/adjectives.

Example code:

...

ANSWER

Answered 2021-May-27 at 14:07

You could try this:

Source https://stackoverflow.com/questions/67704853

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Tea

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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