hollywood | Launch Byobu Open a random number

 by   dustinkirkland Shell Version: Current License: No License

kandi X-RAY | hollywood Summary

kandi X-RAY | hollywood Summary

hollywood is a Shell library. hollywood has no bugs, it has no vulnerabilities and it has medium support. You can download it from GitHub.

Launch Byobu Open a random number of splits, random sizes In each split, run a noisy text app.
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              hollywood has a medium active ecosystem.
              It has 2409 star(s) with 222 fork(s). There are 65 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 28 open issues and 18 have been closed. On average issues are closed in 61 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of hollywood is current.

            kandi-Quality Quality

              hollywood has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              hollywood does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

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

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            hollywood Key Features

            No Key Features are available at this moment for hollywood.

            hollywood Examples and Code Snippets

            No Code Snippets are available at this moment for hollywood.

            Community Discussions

            QUESTION

            How to do a count the number of rows of string data containing above a certain amount of words
            Asked 2021-May-19 at 01:36

            I have a dataframe df that has a column containing text df['text'] (articles from a newspaper, in this case). How can I get a count of the rows in df['text'] that have a word count above some threshold of n words?

            An example of df is shown below. Each article can contain an arbitrary number of words.

            ...

            ANSWER

            Answered 2021-May-19 at 01:36

            Assuming that "words" are separated by spaces one approach would be to count the number of spaces between words and add 1. Then compare to the n value.

            Source https://stackoverflow.com/questions/67595546

            QUESTION

            how to display cities in one dropdown based on selected state in other dropdown using json data in angular ionic?
            Asked 2021-Apr-27 at 16:44

            following are my files for html, .ts and json . As json data was very extensive therefore i have just added a few states and their cities. my 1st dropdown is showing all states. Now I want to match my 1st dropdown's selected value of state with a key "state" in "cities" object in my json file so i can populate 2nd dropdown with cities relevant to that state. and I want to do this in function "getCitiesForSelectedState". please help me find solution for this.

            //.ts file

            ...

            ANSWER

            Answered 2021-Apr-27 at 16:44

            You can do it with the $event parameter. Make sure to compare your values safely.

            If your value is not in the right type or has spaces or unwanted chars, this c.state == val might not work.

            You can use the trim function to compare your value safely: c.state.trim() == val.trim()

            HTML

            Source https://stackoverflow.com/questions/67284495

            QUESTION

            get multiple words after a specific word of HTML using linux/unix scripting
            Asked 2021-Apr-09 at 13:11

            i have a file 'movie.html' :

            ...

            ANSWER

            Answered 2021-Apr-09 at 01:23

            Parsing html with regex is not advised for several reasons (see https://stackoverflow.com/a/1732454/12957340), but here is one potential solution:

            Source https://stackoverflow.com/questions/67013610

            QUESTION

            Extract word after a specific word of HTML using linux command/srcipting
            Asked 2021-Apr-08 at 09:43

            i have a file 'tes.html' :

            ...

            ANSWER

            Answered 2021-Apr-08 at 07:57

            With your shown samples, please try following.

            Source https://stackoverflow.com/questions/66998848

            QUESTION

            How do I transform this list into a dataframe
            Asked 2021-Mar-24 at 20:13

            I have this list that represent Fedex tracking

            ...

            ANSWER

            Answered 2021-Mar-24 at 19:56
            history = [
                "Tuesday, March 16, 2021",
                "3:03 PM Hollywood, FL\nDelivered\nLeft at front door. Signature Service not requested.",
                "5:52 AM MIAMI, FL\nOn FedEx vehicle for delivery",
                "5:40 AM MIAMI, FL\nAt local FedEx facility",
                "Monday, March 15, 2021",
                "11:42 PM OCALA, FL\nDeparted FedEx location",
                "10:01 PM OCALA, FL\nArrived at FedEx location",
                "8:28 PM OCALA, FL\nIn transit",
                "12:42 AM OCALA, FL\nIn transit",
            ]
            
            
            import re
            
            r = re.compile("^(?:Sunday|Monday|Tuesday|Wednesday|Thursday|Friday|Saturday)")
            
            data, cur_group = [], ""
            for line in history:
                if r.match(line):
                    cur_group = line
                else:
                    data.append([cur_group, *line.split("\n", maxsplit=1)])
            
            df = pd.DataFrame(data)
            print(df)
            

            Source https://stackoverflow.com/questions/66788185

            QUESTION

            Instagram /explore/tags/hollywood/?__a=1 API return HTML response
            Asked 2021-Mar-22 at 11:09

                 When i call **https://www.instagram.com/explore/tags/hollywood/?__a=1** using python it always return HTML response like **(Please wait a few minutes before you try again. )** insted of JSON response. after two days also i got same HTML response. is any possible solution to solve this ?

            Here i attached sample code: ...

            ANSWER

            Answered 2021-Mar-22 at 11:09

            Must be blocked temporarily ,try connecting to a different network, and don't call the script at smaller intervals

            Source https://stackoverflow.com/questions/66744809

            QUESTION

            Trying to make the border curve inwards
            Asked 2021-Mar-01 at 08:45

            So what I'm trying to do is to make the border of an asp:Table curve inwards (like border-radius, but inwards). A picture of what I'm trying to achieve:

            I can't put the content in a div and curve its corners, because that wouldn't allow me to go with the look I'm going for on my site. what I'm trying to do on this page is have the table's borders in the same background color as the background. this is my code currently:

            ...

            ANSWER

            Answered 2021-Mar-01 at 00:44

            You can simulate this using radial-gradient()

            Source https://stackoverflow.com/questions/66415116

            QUESTION

            How to add fuzziness for normal search query
            Asked 2021-Feb-18 at 05:33

            Query is below

            {"from": 0, "size": 1000, "query": {"bool": {"must": {"query_string": {"query": "Love"}}}}}

            If I pass Live also then also i need to get search results for Love

            Mapping

            ...

            ANSWER

            Answered 2021-Feb-17 at 10:33

            You can add the fuzziness parameter to your query, like this:

            Source https://stackoverflow.com/questions/66240093

            QUESTION

            How to convert variable to plot with percentage using matplot lib
            Asked 2021-Feb-18 at 01:32

            I have list of dictionary below

            ...

            ANSWER

            Answered 2021-Feb-17 at 05:59

            I hope this counter example helps.

            Source https://stackoverflow.com/questions/66236227

            QUESTION

            How to find the elements greater than integer
            Asked 2021-Feb-17 at 05:40

            I have dictionary below

            [{'id': 0, 'Title': 'The Land Girls', 'US Gross': 146083, 'Worldwide Gross': 146083, 'US DVD Sales': 'null', 'Production Budget': 8000000, 'Release Date': 'Jun 12 1998', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Gramercy', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 6.1, 'IMDB Votes': 1071}, {'id': 1, 'Title': 'First Love, Last Rites', 'US Gross': 10876, 'Worldwide Gross': 10876, 'US DVD Sales': 'null', 'Production Budget': 300000, 'Release Date': 'Aug 07 1998', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Strand', 'Source': 'null', 'Major Genre': 'Drama', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 6.9, 'IMDB Votes': 207}, {'id': 2, 'Title': 'I Married a Strange Person', 'US Gross': 203134, 'Worldwide Gross': 203134, 'US DVD Sales': 'null', 'Production Budget': 250000, 'Release Date': 'Aug 28 1998', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Lionsgate', 'Source': 'null', 'Major Genre': 'Comedy', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 6.8, 'IMDB Votes': 865}, {'id': 3, 'Title': "Let's Talk About Sex", 'US Gross': 373615, 'Worldwide Gross': 373615, 'US DVD Sales': 'null', 'Production Budget': 300000, 'Release Date': 'Sep 11 1998', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Fine Line', 'Source': 'null', 'Major Genre': 'Comedy', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 13, 'IMDB Rating': 'null', 'IMDB Votes': 'null'}, {'id': 4, 'Title': 'Slam', 'US Gross': 1009819, 'Worldwide Gross': 1087521, 'US DVD Sales': 'null', 'Production Budget': 1000000, 'Release Date': 'Oct 09 1998', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Trimark', 'Source': 'Original Screenplay', 'Major Genre': 'Drama', 'Creative Type': 'Contemporary Fiction', 'Director': 'null', 'Rotten Tomatoes Rating': 62, 'IMDB Rating': 3.4, 'IMDB Votes': 165}, {'id': 5, 'Title': 'Mississippi Mermaid', 'US Gross': 24551, 'Worldwide Gross': 2624551, 'US DVD Sales': 'null', 'Production Budget': 1600000, 'Release Date': 'Jan 15 1999', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'MGM', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 'null', 'IMDB Votes': 'null'}, {'id': 6, 'Title': 'Following', 'US Gross': 44705, 'Worldwide Gross': 44705, 'US DVD Sales': 'null', 'Production Budget': 6000, 'Release Date': 'Apr 04 1999', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Zeitgeist', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'Christopher Nolan', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 7.7, 'IMDB Votes': 15133}, {'id': 7, 'Title': 'Foolish', 'US Gross': 6026908, 'Worldwide Gross': 6026908, 'US DVD Sales': 'null', 'Production Budget': 1600000, 'Release Date': 'Apr 09 1999', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'Artisan', 'Source': 'Original Screenplay', 'Major Genre': 'Comedy', 'Creative Type': 'Contemporary Fiction', 'Director': 'null', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 3.8, 'IMDB Votes': 353}, {'id': 8, 'Title': 'Pirates', 'US Gross': 1641825, 'Worldwide Gross': 6341825, 'US DVD Sales': 'null', 'Production Budget': 40000000, 'Release Date': 'Jul 01 1986', 'MPAA Rating': 'R', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'Roman Polanski', 'Rotten Tomatoes Rating': 25, 'IMDB Rating': 5.8, 'IMDB Votes': 3275}, {'id': 9, 'Title': 'Duel in the Sun', 'US Gross': 20400000, 'Worldwide Gross': 20400000, 'US DVD Sales': 'null', 'Production Budget': 6000000, 'Release Date': 'Dec 31 2046', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 86, 'IMDB Rating': 7, 'IMDB Votes': 2906}, {'id': 10, 'Title': 'Tom Jones', 'US Gross': 37600000, 'Worldwide Gross': 37600000, 'US DVD Sales': 'null', 'Production Budget': 1000000, 'Release Date': 'Oct 07 1963', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 81, 'IMDB Rating': 7, 'IMDB Votes': 4035}, {'id': 11, 'Title': 'Oliver!', 'US Gross': 37402877, 'Worldwide Gross': 37402877, 'US DVD Sales': 'null', 'Production Budget': 10000000, 'Release Date': 'Dec 11 1968', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Sony Pictures', 'Source': 'null', 'Major Genre': 'Musical', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 84, 'IMDB Rating': 7.5, 'IMDB Votes': 9111}, {'id': 12, 'Title': 'To Kill A Mockingbird', 'US Gross': 13129846, 'Worldwide Gross': 13129846, 'US DVD Sales': 'null', 'Production Budget': 2000000, 'Release Date': 'Dec 25 1962', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'Universal', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 97, 'IMDB Rating': 8.4, 'IMDB Votes': 82786}, {'id': 13, 'Title': 'Tora, Tora, Tora', 'US Gross': 29548291, 'Worldwide Gross': 29548291, 'US DVD Sales': 'null', 'Production Budget': 25000000, 'Release Date': 'Sep 23 1970', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'Richard Fleischer', 'Rotten Tomatoes Rating': 'null', 'IMDB Rating': 'null', 'IMDB Votes': 'null'}, {'id': 14, 'Title': 'Hollywood Shuffle', 'US Gross': 5228617, 'Worldwide Gross': 5228617, 'US DVD Sales': 'null', 'Production Budget': 100000, 'Release Date': 'Mar 01 1987', 'MPAA Rating': 'null', 'Running Time min': 'null', 'Distributor': 'null', 'Source': 'null', 'Major Genre': 'null', 'Creative Type': 'null', 'Director': 'null', 'Rotten Tomatoes Rating': 87, 'IMDB Rating': 6.8, 'IMDB Votes': 1532}]

            How to find the movies which IMDB Rating > 6 using DSL query

            ...

            ANSWER

            Answered 2021-Feb-17 at 05:40

            You can use range query. Try out this below query

            Source https://stackoverflow.com/questions/66236252

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

            Vulnerabilities

            No vulnerabilities reported

            Install hollywood

            You can download it from GitHub.

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