griffith | A React-based web video player | Video Utils library

 by   zhihu TypeScript Version: v1.5.0 License: MIT

kandi X-RAY | griffith Summary

kandi X-RAY | griffith Summary

griffith is a TypeScript library typically used in Telecommunications, Media, Media, Entertainment, Video, Video Utils, React applications. griffith has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

A React-based web video player
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              griffith has a medium active ecosystem.
              It has 2423 star(s) with 219 fork(s). There are 42 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 18 open issues and 69 have been closed. On average issues are closed in 342 days. There are 15 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of griffith is v1.5.0

            kandi-Quality Quality

              griffith has 0 bugs and 0 code smells.

            kandi-Security Security

              griffith has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              griffith code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              griffith is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              griffith releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              griffith saves you 201 person hours of effort in developing the same functionality from scratch.
              It has 494 lines of code, 0 functions and 320 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            griffith Key Features

            No Key Features are available at this moment for griffith.

            griffith Examples and Code Snippets

            No Code Snippets are available at this moment for griffith.

            Community Discussions

            QUESTION

            Filter integer column endswith hundreds in Python
            Asked 2021-Sep-23 at 07:35

            Given a small dataset df as follows:

            ...

            ANSWER

            Answered 2021-Sep-23 at 07:35

            Try using modulus which is % in pandas. It returns the remainder value after division. For your use case, you want to return the rows of id divided by 100 and its remainder is 0.

            Source https://stackoverflow.com/questions/69293050

            QUESTION

            Convert only certain rows from long to wide in R
            Asked 2021-Jul-23 at 18:49

            I have a dataframe that begins like this:

            ...

            ANSWER

            Answered 2021-Jul-23 at 18:49

            We could use rleid from data.table on the 'unique_id' column to generate distinct ids when the adjacent values are not similar, then grouped by 'unique_id', change the 'new' column to create sequential values using match, create a sequence column with row_number() to account for duplicate elements before doing the pivot_wider to reshape into 'wide'

            Source https://stackoverflow.com/questions/68503591

            QUESTION

            How to output company name of lowest id number in an arraylist?
            Asked 2021-Jul-18 at 17:32

            in the following example the Warner Bros. Pictures id is the lowest , so I want to output the name of Warner Bros. Pictures

            ...

            ANSWER

            Answered 2021-Jul-18 at 17:32
            JSONObject jsonObj = new JSONObject(jsonStr);
            JSONArray c = jsonObj.getJSONArray("production_companies");
            Set set = new HashSet<>();
            // Extract and Find minimum id
            for (int i = 0 ; i < c.length(); i++) {
                 JSONObject obj = c.getJSONObject(i);
                 int id = obj.getString("id");
                 set.add(id);
            }
            
            int minId = Collections.min(list);
            
            // TODO get corresponsind name for minId
            

            Source https://stackoverflow.com/questions/68431228

            QUESTION

            Passing variable to Regex extact pandas
            Asked 2021-Apr-28 at 09:31

            I am trying to use to do a regex extract with Pandas by using the value from another column as a variable.

            df = pd.DataFrame({'text': ["The final is one of the most famous snooker matches of all time and pa", "Davis trailed for the first time at the event in the quarter-finals, as he played Terry Griffiths. "],'key': ["snooker", 'quarter-finals']})

            I was thinking of building a string as a parameter and passing it to the function like so

            reg = '((?:\S+\s+){0,10}\b'+'snooker'+'\b\s*(?:\S+\b\s*){0,10})' df['text'].str.extract(r'reg')

            but it generates this error

            ValueError: pattern contains no capture groups

            which I am assuming is due to the syntax of "(r'reg')"

            ...

            ANSWER

            Answered 2021-Apr-27 at 17:29

            There are a couple of issues here:

            • Word boundaries are set with literal \b (r"\b"), not with a backspace char ("\b"),
            • You cannot place variables into a regular, normal string literal, you need to use format() or f-strings
            • You also need a capturing group in the pattern.

            You can use

            Source https://stackoverflow.com/questions/67287762

            QUESTION

            How to get per term statistics in Elasticsearch
            Asked 2021-Mar-20 at 11:23

            I need to implement the following (on the backend): a user types a query and gets back hits as well as statistics for the hits. Below is a simplified example.

            Suppose the query is Grif, then the user gets back (random words just for example)

            • Griffith
            • Griffin
            • Grif
            • Grift
            • Griffins

            And frequency + number of documents a certain term occurs in, for example:

            • Griffith (freq 10, 3 docs)
            • Griffin (freq 17, 9 docs)
            • Grif (freq 6, 3 docs)
            • Grift (freq 9, 5 docs)
            • Griffins (freq 11, 4 docs)

            I'm relatively new to Elasticsearch, so I'm not sure where to start to implement something like this. What type of query is the most suitable for this? What can I use to get that kind of statistics? Any other advice will be appreciated too.

            ...

            ANSWER

            Answered 2021-Mar-20 at 11:23

            There are multiple layers to this. You'd need:

            • n-gram / partial / search-as-you-type matching
            • a way to group the matched keywords by their original form
            • a mechanism to reversely look up the document & term frequencies.
            I'm not aware of any way to achieve this in one go, but here's my take on it.
            1. You could start off with a special, n-gram-powered analyzer, as explained in my other answer. There's the original content field, plus a multi-field mapping for the said analyzer, plus a keyword field to aggregate on down the line:

            Source https://stackoverflow.com/questions/66711054

            QUESTION

            Highest normal form
            Asked 2021-Feb-03 at 04:01

            My exam answers key and my answer (and answers of online tools) are different for the typical "Determine highest normal form of relation" question and I want to know why.

            Exam question: For the given relation R with schema H = {A, B, C, D, E} and functional dependencies F = {{B, C} -> {D, E}, {C, D} -> {B, E}, {D} -> {C}, {E} -> {B}}. Determine the highest normal form of R. Assume it's in the 1NF.

            My answer:

            I already have 1NF. Next I check 2NF.

            To do that, I need candidate keys. "A" is not in any dependency, so it has to be in the key. I can also add "D", and from {D} -> {C} I have {A, C, D}. Then from {C, D} -> {B, E} I have all {A, B, C, D, E}, so the {A, D} is indeed a candidate key. I can do the same for {A, B, C} and {A, C, E}, so I have candidate keys: {A, D}, {A, B, C}, {A, C, E}.

            2NF requires that "no non-prime attribute can be functionally dependent on any proper subset of any candidate key; a non-prime attribute is not a part of any candidate key of the relation". But I have {B, C} -> {D, E}, so E (a non-prime attribute) depends on {B, C} (a proper subset of {A, B, C}), so it's not in 2NF. Therefore it's only in 1NF.

            The exam answer:

            The relation is in the 3NF. Also this handy tool which checks normal form tells me it's 3NF.

            My question:

            Is this in 1NF or 3NF? My only doubt is for {B, C} -> {D, E} dependency. As I've written above, E is non-prime, but {D, E} as the whole contains 1 prime and 1 non-prime attribute. Do I make some mistake here?

            ...

            ANSWER

            Answered 2021-Feb-02 at 20:49

            Assuming F a cover of the functional dependences of R, you are correct assuming that the candidate keys are AD, ABC and ACE. So all the attributes are primes, no dependency can violate the 3NF, the relation is in 3NF, and for this reason it is also in 2NF.

            Source https://stackoverflow.com/questions/66008889

            QUESTION

            Logstash parsing different line than 1st line as header
            Asked 2020-Dec-25 at 20:33

            I have a sample data:

            ...

            ANSWER

            Answered 2020-Dec-25 at 20:33

            If you set autodetect_column_names to true then the filter interprets the first line that it sees as the column names. If pipeline.workers is set to more than one then it is a race to see which thread sets the column names first. Since different workers are processing different lines this means it may not use the first line. You must set pipeline.workers to 1.

            In addition to that, the java execution engine (enabled by default) does not always preserve the order of events. There is a setting pipeline.ordered in logstash.yml that controls that. In 7.9 that keeps event order iff pipeline.workers is set to 1.

            You do not say which version you are running. For anything from 7.0 (when java_execution became the default) to 7.6 the fix is to disable the java engine using either pipeline.java_execution: false in logstash.yml or --java_execution false on the command line. For any 7.x release from 7.7 onwards, make sure pipeline.ordered is set to auto or true (auto is the default in 7.x). In future releases (8.x perhaps) pipeline.ordered will default to false.

            Source https://stackoverflow.com/questions/65450764

            QUESTION

            Serialization of the received stratistics into a json file
            Asked 2020-Oct-08 at 18:25

            Good afternoon! I am new to JAVA and JSON. I'm using Jackson. The program does the following from the incoming JSON file:

            1. Gives out a list of people between the ages of 20 and 30;
            2. Unique list of cities;
            3. The number of people with an age interval of 0-10, 11-20, 21-30, etc. The program consists of two classes

            Main.java

            ...

            ANSWER

            Answered 2020-Oct-08 at 18:25

            You can write the obtained output to HashMap and that hashMap can be written to a file using ObjectMapper like this.

            Source https://stackoverflow.com/questions/64266375

            QUESTION

            Why is the same query returning different results on different R sessions using dplyr?
            Asked 2020-Jul-23 at 21:16

            While I was working on a project with a colleague of mine, that involved using the package dplyr from tidyverse to manipulate a data frame, I've noticed that some of our results ware different even though we ware using the same code and the same data.

            Session infos from both R sessions:

            Desktop:

            ...

            ANSWER

            Answered 2020-Jul-16 at 19:29

            You're using sample, which is using a discrete uniform distribution.

            In R's PR#17494 (and associated mailing-list thread), a problem with non-uniform sampling was discussed and fixed. This went into effect in R-3.6.

            This can be demonstrated simply:

            • R-3.5.3-64bit (win10)

            Source https://stackoverflow.com/questions/62941250

            QUESTION

            How to avoid a bug in DBpedia Spotlight in python?
            Asked 2020-May-07 at 05:38

            When I run this program it gives me an error in the text and I don't know why, I have tried to run it also from a file and it also gives me an error, how can it work?

            ...

            ANSWER

            Answered 2020-May-07 at 05:38

            The problem with your first code snippet is that the text you're passing as a parameter to the HTTP call is too long, if you print the response object you'll see:

            that corresponds to 414 URI Too Long Reference

            If you pass a smaller text, dbpedia-spotlight will be able to annotate the entities for you.

            For the second code that you put, you have two problems, the first one is that dbpedia-spotlight may respond with 403 status after consecutive calls to the annotate service, to check that I suggest you to do:

            Source https://stackoverflow.com/questions/61647052

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

            Vulnerabilities

            No vulnerabilities reported

            Install griffith

            Build tools like webpack include griffith-mp4 and griffith-hls by default. You can make your bundle smaller by injecting aliases at build-time.

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