Pyret Console User Input - user-input

I am working with Pyret, and a question came up about user input. How do you retrieve user input from the console, or is there no built-in method to do this? I found a few things about Reactors, but it doesn't seem built for this purpose.
I want something like this:
y = input("Enter a string...")
y
...preferably that functions similar to python's input("..."), but I have found nothing similar in the docs.

Related

Swift Print() not displaying results

I am new to learning Swift. I am currently taking a course through Udemy. I was attempting to use the following command, which did not yield a result.
print(inches_tall = (feet * 12) + inches)
I got back the following: "()\n"
I am posting to see, what I am missing, also to get back into the community as I continue my journey.
I was attempting to use the print() to display. I did not "need" to use print. I was looking for additional ways to solve the small building-block-task I was given.

GAMS: retrieve information from solution

GAMS: I think I have a pretty simple question, however I'm stuck and was wondering if someone could help here.
A simplified version of my model looks like this:
set(i,t) ;
parameter price
D;
variable p(i,t)
e(i,t);
equations
Equation1
obj.. C=sum((i,t), p(i,t)*price);
Model file /all/ ;
Solve file minimizing C using MIP ;
Display C.l;
p(i,t) and e(i,t) are related:
Equation1 .. e(i,t)=e=e(i,t-1)+p(i,t)*D
Now I want to retrieve information from the solution: lets say I want to know at what t e(i,t) has a certain value for example --> e(i,t)= x(i) or otherwise formulated e(i,t=TD)=x(i) find TD, where x(i) thus is depending on i. Does anyone know how I can write this in to my GAMs model? To be clear I do not want to change anything about my solution and the model I have runs; I just want to retrieve this information from the solution given.
So far I tried a couple of thing and nothing worked. I think that this must be simple, can anyone help? Thank you!

Try something like this:
set i /i1*i10/
t /t1*t10/;
variable e(i,t);
*some random dummy "solution"
e.l(i,t) = uniformInt(1,10);
set find5(i,t) 'find all combinations of i and t for which e.l=5';
find5(i,t)$(e.l(i,t)=5) = yes;
display e.l,find5;
Hope that helps,
Lutz

How to use Google Translate in Matlab?

I am writing a program to list all unique words in a movie subtitle file using Matlab. Now I have a unique word list that I want to translate to my language and learn the meaning before watching the movie.
Does anyone know how can I use Google Translate in Matlab so that I can complete my script? Is there any web service or so, and how can I use it in Matlab?
Thanks,
Appendix 1:
I have found this code useful:
%build url and send to google
url = 'http://ajax.googleapis.com/ajax/services/language/translate';
page = urlread(url, 'get', {'v', '1.0','q', inputString,'langpair', [sourceLanguage '|' destLanguage]});
but I don't know why it returns error each time I run it (e.g. 403 or 400). I know that my internet connection is okay when testing.

For a simple translator (I have no idea about quality), maybe try this. I didn't bother parsing the output:
langCodes = urlread('http://www.transltr.org/api/getlanguagesfortranslate'); % find your language code
textToTranslate = 'rabbit'; %change
langCodeOfOrigText ='en';
langCodeOfTranslation ='es';
translateURL = 'http://www.transltr.org/api/translate';
translateResults = urlread(translateURL, 'get', {'text',textToTranslate,'to',langCodeOfTranslation,'from',langCodeOfOrigText});
Just see next to translationText of the output for the result. Like I said, you can parse it, just google for a json to matlab struct parser.

Extract text from a Wordnik API URL in Google Sheets

Can anyone explain how to import/extract a particular field from the following url into Google Sheets:
Wordnik URL
I'm guessing there is an IMPORTXML query that could do it, but it doesn't have the nodes that IMPORTXML usually uses to import that. Instead the code looks like this:
[{"mi":6.720745180909532,"gram1":"pretty","gram2":"much","wlmi":18.953166108085608},{"mi":6.650496643050408,"gram1":"pretty","gram2":"good","wlmi":18.469078820531266},{"mi":9.839004198061549,"gram1":"pretty","gram2":"darn","wlmi":17.298435816698845},{"mi":7.515791105774376,"gram1":"pretty","gram2":"cool","wlmi":15.515791105774376},{"mi":8.233704272151307,"gram1":"pretty","gram2":"impressive","wlmi":15.210984195651225}]
So if Cell A2 has the URL that produces this as the code, how do I get B2 to give me the text after "gram2" (in this case, "good", "darn", "cool" and "impressive").
Thanks
Tardy

I've come up with a workaround but it is kind of messy. I'd still like an answer to the question, but for reference and in case it's of use to anyone I'll post it here:
Using =IMPORTDATA(E10) (where E10 is the cell with the URL in) gave me an array (I guess based on .csv principles) that I could then manipulate using some other tools, like regexreplace, to get at the relevant bits of text.

importing website to google sheets

I have tried searching everywhere online for a good answer but cannot seem to find anything that matches specifically what i am looking for.
When i use the IMPORTHTML function in google sheets, i end up with data that looks like:
${player.name} (${player.position}, ${team.abbrev}) ${opponent.abbrev} #${opponent_rank} ${minutes} ${pts} ${fgm}-${fga} ${ftm}-${fta} ${p3m}-${p3a} ${treb} ${ast} ${stl} ${blk} ${tov} ${pf} ${fp} $${salary} ${ratio}
the code that i am using looks like this:
=IMPORTHTML("", "table",2)
When I use the same as above (=IMPORTHTML("", "table",2)) only with "0" as my index, it pulls this:
Opp Stats
Player Team Rank Min Pts FGM/A FTM/A 3PM/A Reb Ast Stl Blk Tov Foul FP Cost Value
Basically, I am attempting to pull the table data from this website:
https://www.numberfire.com/nba/fantasy/fantasy-basketball-projections
(because of my rep i cannot post more than two links, however my IMPORTHTML function has the above link input in both functions)
into a google sheet. Please help. any feedback is much appreciated... thanks!

Best advice is to find another Web table you can import. If you do "view source" on the page, you will find that the table content is dynamically populated from a variable named NF_DATA.
You need to create a document script to extract the data you want:
function this_is_test() {
var response = UrlFetchApp.fetch("https://www.numberfire.com/nba/fantasy/fantasy-basketball-projections");
raw_content = response.getContentText();
re = new RegExp('"daily_projections":\\[[^\\]]+','i');
proj = raw_content.match(re);
Logger.log(proj);
}
It will extract all text in-between "daily_projections":[ and ], which is (as of today):
"daily_projections":[{"nba_player_id":"77","nba_game_id":"20015","date":"2016-01-19","nba_team_id":"21","opponent_id":"7","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":36.3,"fgm":"8.8","fga":"17.1","p3m":"1.9","p3a":"4.8","ftm":"6.2","fta":"6.9","oreb":"0.8","dreb":"7.2","ast":"4.7","stl":"1.1","blk":"1.2","tov":"2.7","pf":"1.8","pts":"25.3","ts":"0.628","efg":"0.655","oreb_pct":"2.6","dreb_pct":"21.4","treb_pct":"12.4","ast_pct":"23.4","stl_pct":"1.5","blk_pct":"2.4","tov_pct":"12.1","usg":"27.8","ortg":"122.2","drtg":"101.8","nerd":"22.34","star_street_fp":43.08,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":39.75,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":43.85,"fanduel_salary":9900,"fanduel_ratio":4.43,"draft_kings_fp":46.55,"draft_kings_salary":9900,"draft_kings_ratio":4.7,"fantasy_feud_fp":39.75,"fantasy_feud_salary":153600,"fantasy_feud_ratio":0.26,"fanthrowdown_fp":45.2,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":44.25,"fantasy_aces_salary":7250,"fantasy_aces_ratio":6.1,"draftday_fp":45.25,"draftday_salary":18800,"draftday_ratio":2.41,"fantasy_score_fp":45.6,"fantasy_score_salary":9600,"fantasy_score_ratio":4.75,"draftster_fp":43.75,"draftster_salary":9400,"draftster_ratio":4.65,"yahoo_fp":44.8,"yahoo_salary":52,"yahoo_ratio":0.86,"treb":8},{"nba_player_id":"397","nba_game_id":"20015","date":"2016-01-19","nba_team_id":"21","opponent_id":"7","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":35,"fgm":"8.6","fga":"18.0","p3m":"1.3","p3a":"4.1","ftm":"5.9","fta":"7.2","oreb":"1.3","dreb":"5.0","ast":"8.8","stl":"2.0","blk":"0.4","tov":"3.6","pf":"2.2","pts":"24.4","ts":"0.576","efg":"0.592","oreb_pct":"4.6","dreb_pct":"15.3","treb_pct":"10.2","ast_pct":"44.4","stl_pct":"3.0","blk_pct":"0.8","tov_pct":"14.6","usg":"31.3","ortg":"117.8","drtg":"101.2","nerd":"19.75","star_street_fp":44.48,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":41.33,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":46.36,"fanduel_salary":10500,"fanduel_ratio":4.42,"draft_kings_fp":49.13,"draft_kings_salary":10700,"draft_kings_ratio":4.59,"fantasy_feud_fp":41.33,"fantasy_feud_salary":169800,"fantasy_feud_ratio":0.24,"fanthrowdown_fp":47.33,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":46.68,"fantasy_aces_salary":7800,"fantasy_aces_ratio":5.98,"draftday_fp":47.1,"draftday_salary":20500,"draftday_ratio":2.3,"fantasy_score_fp":48.48,"fantasy_score_salary":9900,"fantasy_score_ratio":4.9,"draftster_fp":45.38,"draftster_salary":9500,"draftster_ratio":4.78,"yahoo_fp":47.01,"yahoo_salary":59,"yahoo_ratio":0.8,"treb":6.3},{"nba_player_id":"279","nba_game_id":"20016","date":"2016-01-19","nba_team_id":"11","opponent_id":"24","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":36.7,"fgm":"7.6","fga":"18.1","p3m":"2.5","p3a":"6.9","ftm":"5.5","fta":"6.5","oreb":"1.1","dreb":"5.8","ast":"5.3","stl":"1.8","blk":"0.4","tov":"3.6","pf":"2.4","pts":"22.5","ts":"0.537","efg":"0.610","oreb_pct":"3.3","dreb_pct":"17.6","treb_pct":"10.5","ast_pct":"25.1","stl_pct":"2.5","blk_pct":"0.9","tov_pct":"15.3","usg":"29.1","ortg":"104.1","drtg":"99.2","nerd":"5.26","star_street_fp":38.55,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":34.13,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":39.53,"fanduel_salary":8700,"fanduel_ratio":4.54,"draft_kings_fp":42.93,"draft_kings_salary":9200,"draft_kings_ratio":4.67,"fantasy_feud_fp":34.13,"fantasy_feud_salary":138800,"fantasy_feud_ratio":0.25,"fanthrowdown_fp":41.13,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":39.88,"fantasy_aces_salary":6500,"fantasy_aces_ratio":6.14,"draftday_fp":41.3,"draftday_salary":16600,"draftday_ratio":2.49,"fantasy_score_fp":41.68,"fantasy_score_salary":8400,"fantasy_score_ratio":4.96,"draftster_fp":39.45,"draftster_salary":8000,"draftster_ratio":4.93,"yahoo_fp":40.78,"yahoo_salary":47,"yahoo_ratio":0.87,"treb":6.9},{"nba_player_id":"2137","nba_game_id":"20014","date":"2016-01-19","nba_team_id":"38","opponent_id":"17","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":35,"fgm":"8.0","fga":"16.6","p3m":"0.4","p3a":"1.3","ftm":"4.5","fta":"6.0","oreb":"2.6","dreb":"7.8","ast":"2.2","stl":"1.0","blk":"2.2","tov":"1.9","pf":"2.6","pts":"20.8","ts":"0.541","efg":"0.521","oreb_pct":"8.6","dreb_pct":"24.8","treb_pct":"16.6","ast_pct":"11.5","stl_pct":"1.4","blk_pct":"4.9","tov_pct":"9.4","usg":"27.0","ortg":"107.9","drtg":"103.1","nerd":"5.60","star_street_fp":41.05,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":36.55,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":41.08,"fanduel_salary":10300,"fanduel_ratio":3.99,"draft_kings_fp":44.25,"draft_kings_salary":10000,"draft_kings_ratio":4.43,"fantasy_feud_fp":36.55,"fantasy_feud_salary":149400,"fantasy_feud_ratio":0.24,"fanthrowdown_fp":41.8,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":41.6,"fantasy_aces_salary":7400,"fantasy_aces_ratio":5.62,"draftday_fp":40.43,"draftday_salary":18200,"draftday_ratio":2.22,"fantasy_score_fp":42.55,"fantasy_score_salary":9700,"fantasy_score_ratio":4.39,"draftster_fp":41.53,"draftster_salary":9200,"draftster_ratio":4.51,"yahoo_fp":41.28,"yahoo_salary":54,"yahoo_ratio":0.76,"treb":10.4},{"nba_player_id":"362","nba_game_id":"20013","date":"2016-01-19","nba_team_id":"15","opponent_id":"16","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":34.9,"fgm":"7.3","fga":"15.4","p3m":"1.4","p3a":"3.7","ftm":"4.8","fta":"6.0","oreb":"1.7","dreb":"6.1","ast":"2.3","stl":"0.7","blk":"1.0","tov":"1.7","pf":"2.0","pts":"20.6","ts":"0.571","efg":"0.594","oreb_pct":"6.2","dreb_pct":"19.9","treb_pct":"13.3","ast_pct":"12.1","stl_pct":"1.1","blk_pct":"2.2","tov_pct":"8.5","usg":"26.5","ortg":"115.3","drtg":"104.5","nerd":"11.63","star_street_fp":34.93,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":30.85,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":35.11,"fanduel_salary":7800,"fanduel_ratio":4.5,"draft_kings_fp":37.05,"draft_kings_salary":7600,"draft_kings_ratio":4.88,"fantasy_feud_fp":30.85,"fantasy_feud_salary":120400,"fantasy_feud_ratio":0.26,"fanthrowdown_fp":36.2,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":35.5,"fantasy_aces_salary":5900,"fantasy_aces_ratio":6.02,"draftday_fp":35.43,"draftday_salary":13950,"draftday_ratio":2.54,"fantasy_score_fp":36.35,"fantasy_score_salary":7000,"fantasy_score_ratio":5.19,"draftster_fp":35.35,"draftster_salary":7200,"draftster_ratio":4.91,"yahoo_fp":35.81,"yahoo_salary":40,"yahoo_ratio":0.9,"treb":7.8},{"nba_player_id":"2249","nba_game_id":"20014","date":"2016-01-19","nba_team_id":"17","opponent_id":"38","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":35.7,"fgm":"7.2","fga":"16.6","p3m":"0.9","p3a":"3.2","ftm":"4.6","fta":"6.3","oreb":"1.3","dreb":"2.9","ast":"2.1","stl":"0.9","blk":"0.5","tov":"2.2","pf":"2.4","pts":"20.2","ts":"0.521","efg":"0.530","oreb_pct":"4.3","dreb_pct":"9.6","treb_pct":"6.9","ast_pct":"10.2","stl_pct":"1.3","blk_pct":"1.0","tov_pct":"10.3","usg":"26.7","ortg":"101.6","drtg":"111.5","nerd":"-7.07","star_street_fp":28.68,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":23.65,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":28.99,"fanduel_salary":6700,"fanduel_ratio":4.33,"draft_kings_fp":30.75,"draft_kings_salary":6900,"draft_kings_ratio":4.46,"fantasy_feud_fp":23.65,"fantasy_feud_salary":113500,"fantasy_feud_ratio":0.21,"fanthrowdown_fp":29.65,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":29.2,"fantasy_aces_salary":4900,"fantasy_aces_ratio":5.96,"draftday_fp":28.43,"draftday_salary":12000,"draftday_ratio":2.37,"fantasy_score_fp":30.3,"fantasy_score_salary":6000,"fantasy_score_ratio":5.05,"draftster_fp":29.23,"draftster_salary":5900,"draftster_ratio":4.95,"yahoo_fp":29.44,"yahoo_salary":29,"yahoo_ratio":1.02,"treb":4.2},{"nba_player_id":"370","nba_game_id":
Note that even this is not complete. You need to somehow map nba_player_id to the appropriate name. Anyway, a lot coding will be involved...