Jockey | music player for Android | Music Player library

 by   marverenic Java Version: v3.0-rc3 License: Apache-2.0

kandi X-RAY | Jockey Summary

kandi X-RAY | Jockey Summary

Jockey is a Java library typically used in Audio, Music Player applications. Jockey has no bugs, it has build file available, it has a Permissive License and it has low support. However Jockey has 1 vulnerabilities. You can download it from GitHub.

Jockey is a music player for Android based on Google's Material Design standards. The point of Jockey is to be a simple, lightweight media player with features designed for music enthusiasts and casual listeners alike. Currently Jockey is notably lacking a few enthusiast features like crossfade and replay gain which may be added in the future.
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            kandi-support Support

              Jockey has a low active ecosystem.
              It has 307 star(s) with 124 fork(s). There are 44 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 42 open issues and 120 have been closed. On average issues are closed in 143 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Jockey is v3.0-rc3

            kandi-Quality Quality

              Jockey has 0 bugs and 0 code smells.

            kandi-Security Security

              Jockey has 1 vulnerability issues reported (0 critical, 0 high, 1 medium, 0 low).
              Jockey code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Jockey is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Jockey releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Jockey and discovered the below as its top functions. This is intended to give you an instant insight into Jockey implemented functionality, and help decide if they suit your requirements.
            • Update the media session .
            • Setup the animation for a single ring .
            • Shows the value dialog
            • Initialize the seek arc .
            • Setup the RecyclerView .
            • Shows the sliding view of all children .
            • Overrides the default implementation to add items to the adapter .
            • Observes the search query .
            • Called when a directory is selected .
            • On auto play playlist sort option .
            Get all kandi verified functions for this library.

            Jockey Key Features

            No Key Features are available at this moment for Jockey.

            Jockey Examples and Code Snippets

            No Code Snippets are available at this moment for Jockey.

            Community Discussions

            QUESTION

            Error tokenizing data. C error: Expected x fields in line 5, saw x
            Asked 2022-Apr-18 at 04:07

            I keep getting this error. I don't even know how to identify the row that is in error as the data I am requesting is jumbled. I can't provide a URL to the API but I will provide a sample of the first few lines of data.

            My code:

            ...

            ANSWER

            Answered 2022-Apr-18 at 04:07

            Since you don't specify a separator for columns in the data, python has to guess and it guessed wrong. Be specific.

            Source https://stackoverflow.com/questions/71907428

            QUESTION

            Python: remove all rows from a dataframe where the date is over 2 years ago
            Asked 2022-Feb-10 at 19:37

            EDIT - Answer as below with the extra code new_df = df_hist[msk]

            I'm trying to remove all rows from a DataFrame where the date ('RaceDate') is over 2 years ago. I convert the 'RaceDate' using pd.to_datetime - this gives the format e.g. 2018-09-01. I use datetime.datetime.now().date() and this gives the format datetime.date(2022, 2, 10)

            I can't work out how to check the difference is over two years as the code gives me Key error. Any help would be most welcome.

            ...

            ANSWER

            Answered 2022-Feb-10 at 19:23

            You can convert d2 using pd.to_datetime and subtract (since today's date is greater than yesterday's date, we subtract today's date from the column using rsub). Then convert the timedelta to year and evaluate if the time difference in years is less than 2:

            Source https://stackoverflow.com/questions/71070833

            QUESTION

            Grunt still unable to handle ES6 imports?
            Asked 2022-Feb-02 at 11:32

            I am working on a project under NodeJS that uses ES6 imports/exports (hence having set type: module in its package.json) and want to automate some tasks using Grunt. Now, I absolutely love grunt, but it appears to me that even in 2022 it is still not able to work nicely with ES6 modules? I always get an error saying "require() of ES Module /vagrant/Gruntfile.js from /vagrant/node_modules/grunt/lib/grunt/task.js not supported."

            I understand where this is coming from, and I do understand there are workaround options - in particular, renaming Gruntfile.js to Gruntfile.cjs and passing it to grunt with the --gruntfile command line option. But that is incredibly annoying - it makes the command six times as long as it would be if I could just run grunt and be done with it. Pretty much the same goes for transpiling with something like Babel: That is exactly the kind of thing grunt is intended to handle in the first place, so it feels a bit like the horse riding the jockey. I feel like this should "just work".

            Am I missing something here, or is grunt really unable to handle ES6 imports out of the box?

            ...

            ANSWER

            Answered 2022-Feb-02 at 11:32

            Actually, looking at the grunt github page it appears that a recent commit has addressed it.

            I guess this issue will therefore be resolved in their next update.

            Source https://stackoverflow.com/questions/70954060

            QUESTION

            Why causes the failure to bind a computed property as inline style in this Vue 3 app?
            Asked 2021-Dec-26 at 11:29

            I am working on an audio player with Vue 3 and the Napster API.

            Project details

            The player has a progress bar. I use the trackProgress computed property to update the progress in real-time:

            ...

            ANSWER

            Answered 2021-Dec-24 at 22:41

            You should create a data property trackProgress and update it in the listener which you create in created() hook (similar to ended event).

            Source https://stackoverflow.com/questions/70476499

            QUESTION

            Why does the update of this computed property fail in my Vue 3 app?
            Asked 2021-Dec-24 at 17:09

            I am working on an audio player with Vue 3 and the Napster API.

            Project details

            I have made the vinyl spin with the help of a CSS keyframes-based animation and the isSpinning computed property.

            I want the vinyl to stop spinning once the end of the current track is reached, which is why isSpinning has this "formula":

            ...

            ANSWER

            Answered 2021-Dec-24 at 17:03

            An Audio object will not function in the same manner as normal JavaScript objects in Vue, as the internals that Vue uses to abstract away state change observation will not be maintained when the Audio object changes state. In other words, the thing that allows Vue to detect the Audio object switching from ended === false to ended === true won't work, preventing Vue from knowing that the component needs to be updated.

            If you wish to observe a change in ended state, then you'll want to add a custom event listener to the object in your created hook to toggle the spinning state and simply remove the ended check:

            Source https://stackoverflow.com/questions/70474809

            QUESTION

            How can I compute the rolling mean of a column for a set period of time, using Pandas and groupby, given a specific condition?
            Asked 2021-Nov-16 at 12:16

            This is a variation of this question, only with a new column, Track:

            Date Jockey ID Position Track 23-12-2018 4340 1 Sha Tin 25-11-2018 4340 5 Sha Tin 19-12-2018 4340 10 Happy Valley 01-01-2019 4340 3 Happy Valley 18-10-2017 8443 1 Sha Tin 18-02-2018 8443 6 Sha Tin 12-05-2018 8443 7 Happy Valley

            What I am looking for is a way to compute the rolling mean final position, in the last 1000 days, on a specifically on Sha Tin. The final result:

            Date Jockey ID Position Track Mean Position 23-12-2018 4340 1 Sha Tin 1 (1/1) 25-11-2018 4340 5 Sha Tin 3 (1+5)/2 19-12-2018 4340 10 Happy Valley 01-01-2019 4340 3 Happy Valley 18-10-2017 8443 1 Sha Tin 1 (1/1) 18-02-2018 8443 6 Sha Tin 3.5 (1+6)/2 12-05-2018 8443 7 Happy Valley ...

            ANSWER

            Answered 2021-Nov-16 at 12:13

            Add Track column to groupby:

            Source https://stackoverflow.com/questions/69988814

            QUESTION

            How can I compute the rolling mean of a column for a set period of time, using Pandas and groupby?
            Asked 2021-Nov-16 at 08:23

            I have the following DataFrame:

            Date Jockey ID Position 23-12-2018 4340 1 25-11-2018 4340 5 19-12-2018 4340 10 01-01-2019 4340 3 18-10-2017 8443 1 18-02-2018 8443 6 12-05-2018 8443 7

            I want to compute the rolling mean final position for each Jockey ID for the last 1000 days. I am looking for something like this:

            Date Jockey ID Position Mean Position 23-12-2018 4340 1 1 (1/1) 25-11-2018 4340 5 3 (1+5)/2 19-12-2018 4340 10 5.33 (1+5+10)/3 01-01-2019 4340 3 4.75 (1+5+10+3)/4 18-10-2017 8443 1 1 (1/1) 18-02-2018 8443 6 3.5 (1+6)/2 12-05-2018 8443 7 4.66 (1+6+7)/3

            Any ideas on how to do it?

            ...

            ANSWER

            Answered 2021-Nov-16 at 08:23

            QUESTION

            Scrapy: Unable to get data from xpath
            Asked 2021-Sep-09 at 17:36

            I am trying to get data from the following script. I have divided the XPath into 02 parts in the parse function. 1st part contains the fixed data which I don't want to loop and the 2nd part contains a table which I want to loop. When I ran the script, it only gives the 2nd part data. I have used Splash to render the HTML.

            ...

            ANSWER

            Answered 2021-Sep-09 at 17:36

            There is no way in scrapy to use two yield method at the same response. Actually, data is generating from API calls json response. You can do that easily from backdoor generating data and you can grab data items whatever you want.

            Here is the example of working solution:

            CODE:

            Source https://stackoverflow.com/questions/69107980

            QUESTION

            how to parse text into tab separated columns?
            Asked 2021-Jul-15 at 07:20

            I have a text file with lines that look like this

            ...

            ANSWER

            Answered 2021-Jul-14 at 17:26

            QUESTION

            How to convert an object into a nested array?
            Asked 2021-Mar-23 at 17:31

            I have an object request which is as follows:-

            ...

            ANSWER

            Answered 2021-Mar-23 at 16:57

            You would need to do something like use Object.entries to convert the object to an array, reduce the array to a new one by inferring the index from the number at the end of each key:

            Source https://stackoverflow.com/questions/66767623

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

            Vulnerabilities

            backend.py in Jockey before 0.9.7-0ubuntu7.11 does not properly use D-Bus for communication with a polkit authority, which allows local users to bypass intended access restrictions by leveraging a PolkitUnixProcess PolkitSubject race condition via a (1) setuid process or (2) pkexec process, a related issue to CVE-2013-4288.

            Install Jockey

            You can download it from GitHub.
            You can use Jockey like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Jockey component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            Feel free to post suggestions, bugs, comments on code in the project, or just anything that isn't as smooth as it should be as an issue on Github. You don't need to submit crashes unless you're running a version of Jockey you've built yourself – crashes are automatically reported through Crashlytics. If you're feeling adventerous, you're more than welcome to fork Jockey and submit a pull request either to implement a new feature, fix a bug, or clean up the code. Feature requests should be submitted through the Github issue tracker. Before submitting a feature request, make sure that it hasn't been requested before. If it's already been requested, but is in a closed issue that hasn't been marked as "wontfix", feel free to resubmit it in case it's gotten lost. When submitting a feature request, please make a single issue for each feature request (i.e. don't submit an issue that contains a list of features). Such issues are hard to keep track of and often get lost. Jockey has a Pivotal Tracker page which contains the most up-to-date information about planned work. This dashboard is public, but is not open for modification. The best way to add new stories to the dashboard is through Github issues. Jockey's Pivotal Tracker page includes stories for upcomming features, chores for developer-oriented tasks, bugs, and release markers. Stories are assigned point values using the fibonacci scale to determine roughly how long it will take to implement (1 point is a couple of hours, 2 points is several hours, 3 points is roughly a full day or part of a weekend, 5 points is most of a week, and 8 points is more than a week). These point values are only estimates and shouldn't be treated as guarantees of how long it will take to implement a feature. The time associated with a story's point value can also vary greatly depending on how much time I can devote to the project during the week. Similarly, release markers, release dates, and prioritizations are very flexible and can change at any time.
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