tweakable | Android annotations for user-tweakable values | Access Management library

by JackWink Java Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | tweakable Summary

tweakable is a Java library typically used in Security, Access Management applications. tweakable has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Feature flags, tweakable values, and actions for Android. Annotate some public static fields, shake the phone, and the user can adjust the field values on the fly.

Support

Quality

Security

License

Reuse

Support

tweakable has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 0 have been closed. On average issues are closed in 1929 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tweakable is current.

Quality

tweakable has 0 bugs and 0 code smells.

Security

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

tweakable code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tweakable is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

tweakable saves you 1029 person hours of effort in developing the same functionality from scratch.

It has 2337 lines of code, 211 functions and 54 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tweakable and discovered the below as its top functions. This is intended to give you an instant insight into tweakable implemented functionality, and help decide if they suit your requirements.

Create the sub - screen
Build a Preference object
Returns an instance of the generated preferences
Creates the root preferences
Binds the field to int value
Returns the value of this field as an integer
Binds the value to the field
Retrieves the value of this field as a Float
Build a switch preference
Returns an optional attribute value or null if not present
Sets the current value to the default value
Called when the dialog is closed
Bind the value to the preference s value
Returns true if the given string is a valid Tweaks fragment
Invoke the method
Binds the field value to the preferences
Starts off stop listener
Initializes the dialog
Create a builder for this numberPicker
Create the slider
Builds the preference
Returns the set of supported annotation types
Builds the preference screen
From interface Tweak Activity
Builds a preference category
Initialize preferences

Get all kandi verified functions for this library.

tweakable Key Features

No Key Features are available at this moment for tweakable.

tweakable Examples and Code Snippets

No Code Snippets are available at this moment for tweakable.

Community Discussions

Trending Discussions on tweakable

useEffect is not firing consistently

How to write an efficient wrapper for data wrangling, allowing to turn off any wrapped part when calling the wrapper

How to allow optional summary computations in dplyr::summarise() when writing a custom wrapper

How to code optional arguments for a custom function that wraps ggplot()?

Java 8 streams when and why

OutOfMemoryError in okhttp3 large file downloading

QUESTION

useEffect is not firing consistently

Asked 2021-Jun-02 at 23:30

The component is creating a positionalAudio within a 3D-scene and the audio object is tweakable by using leva. The object is being created just as it should and tweaking the position and rotation just works fine. What is not working properly is changing the volume. In the leva UI I can drag the handle of the volume an change it but no effect is taking place (I'm assuming it's because the useEffect is firing before the handle is released and effectivly no change in the value has been taking place yet. At least a console log is shown before I release the handle). When I put the new value inside the input field an press enter useEffect is firing and the volume is changing. But it works only this time and afterwards not anymore.

...

ANSWER

Answered 2021-Jun-02 at 23:30

useEffect(() => {
    sound.current.setVolume(volume)
}, [sound.current])

Source https://stackoverflow.com/questions/67813349

QUESTION

How to write an efficient wrapper for data wrangling, allowing to turn off any wrapped part when calling the wrapper

Asked 2021-Apr-21 at 16:23

To streamline data wrangling, I write a wrapper function consisted of several "verb functions" that process the data. Each one performs one task on the data. However, not all tasks are applicable to all datasets that pass through this process, and sometimes, for certain data, I might want to switch off some "verb functions", and skip them.

I'm trying to understand whether there's a conventional/canonical way to build such workflow within a wrapper function in R. Importantly, a way that will be efficient, both performance-wise and concise code.

Example

As part of data wrangling, I want to carry out several steps:

Clean up column headers (using janitor::clean_names())
Recode values in the data, such that TRUE and FALSE are replaced with 1 and 0 (using gsub()).
Recode string values to lowercase (using tolower()).
Pivot wider based on specific id column (using tidyr::pivot_wider)
Drop rows with NA values (using dplyr::drop_na())

Toy data

...

ANSWER

Answered 2021-Mar-03 at 14:04

One way to do this would be

Source https://stackoverflow.com/questions/66458188

QUESTION

How to allow optional summary computations in dplyr::summarise() when writing a custom wrapper

Asked 2021-Mar-25 at 12:27

When writing a custom wrapper function, what would be a concise way to enable/disable an additional computation within dplyr::summarise()?

For example, consider the following function that takes in data and allows the user to get the mean and sd over a specific column in the data:

...

ANSWER

Answered 2021-Mar-25 at 12:27

If mean and sd are just for purposes of example and in actuality represent a long calculation use an if to prevent their computation and then select out the desired columns in the last line.

(If it really were just mean and sd they are computed so fast that there is likely no point in avoiding their computation and in that case we could omit the the if's and just use the select at the end to extract the ones desired computing them even if we don't use them.)

Source https://stackoverflow.com/questions/66798152

QUESTION

How to code optional arguments for a custom function that wraps ggplot()?

Asked 2021-Jan-17 at 15:11

I have a general question that I couldn't find a satisfactory answer for. I'm building a set of visualization functions, and I want to let the user have flexibility when using them. For example, I'd like to keep it optional whether errorbars should be included in a bar plot, or whether labels in geom_text() will be in percent or decimal.

If we think of a typical construction of code in ggplot(), we have elements separated by +. So if I want to allow optional construction, I'd likely need to "turn on" or "turn of" either entire geoms (e.g., completely ignore geom_errorbar() if user doesn't want errorbars in plot), or otherwise tweak within geoms (e.g., changing the only label argument within geom_text() to convert labels to percent or keep in decimals).

I hope my question doesn't invite too opinion-based answers, but rather have people lay out the standard/typical way of coding optional arguments when wrapping ggplot() with customized functions.

Example

I came up with a solution that I dislike. I think it makes code long and hard to read. I also can't say much on whether it's efficient or not computationally-wise.
Say that I want to build a custom function for a bar chart. There are several things that I wish them to be "tweakable":

Whether bars should be ordered or not (see reorder_cols argument)
Whether to provide user's own set of x axis labels (see x_axis_labels argument)
Whether to add errorbars (add_errorbar)
Whether to show bar labels in percent (show_in_percents)

Then I assign each optional code into a variable, and use a conditional to determine which piece of code should be included, according to bar_chart()'s relevant argument.

...

ANSWER

Answered 2021-Jan-17 at 13:46

This will not attempt to answer all questions (as there are several), but just to demonstrate the principle which you could make use of. Check out the ggplot book on programming with ggplot2

The idea is to create a list which contains all ggplot objects (such as aes, geom, scale). Objects that are returned NULL will be simply discarded. That's the whole beauty.

I have removed the scale because it was somewhat difficult to understand what you wanted to achieve. The idea would be very similar. And actually generally reduced the entire problem to what I believe is the gist of the question.

Source https://stackoverflow.com/questions/65722125

QUESTION

Java 8 streams when and why

Asked 2021-Jan-01 at 07:08

I recently started working on a project where they encourage writing code with streams lambdas and such. Basically, the functional programming approach. While I find streams appealing, I have a few doubts about them. They are as follows.

Performance - are serial streams really faster and more scalable than corresponding collections? Or are streams only preferable because someday we might use the stream().parallel() version?
Memory usage - are streams a burden on the heap memory given that the terminal operations like collect(toList()) usually create a new object?
Garbage collection (GC) - are streams more GC friendly than collections?
Programming paradigm - I personally think mixing the functional programming style with OOPs is kind of gonna result in issues.
Debugging - I personally debug my code by pen and paper rather than using a debugger (which some people might prefer). How good are streams when it comes to debugging?
Operations Complexity - when it comes to writing everyday code (filtering grouping collecting mapping) streams are a cakewalk, but I find that when I have to write complex logic I end up resorting to the old collection based approach as it is more tweakable. Am I the only one doing this?

I understand that I am asking multiple questions here, but really they are 6 parts of the same question mentioned in the title. Hope for at least a summary like answer to each of these sub-questions. It'd be helpful if someone also could add a link to dive deep into all of these.

cheers!!

...

ANSWER

Answered 2021-Jan-01 at 07:08

Performance - are serial streams really faster and more scalable than corresponding collections?

No. At least, not on average ... with current Stream implementations.

Or are streams only preferable because someday we might use the stream().parallel() version?

Possibly yes. However, for many use-cases, the overheads of using parallel() outweigh the possible speedup.

Memory usage - are streams a burden on the heap memory given that the terminal operations like collect(toList()) usually create a new object?

AFAIK, No. There is typically no reduction in memory usage.

Garbage collection (GC) - are streams more GC friendly than collections?

AFAIK, No.

Programming paradigm - I personally think mixing the functional programming style with OOPs is kind of gonna result in issues.

That is your opinion.

If you stick with making your stream operations side-effect free, there shouldn't be any issues.

The documentation recommends against side-effects in stream operations.
If you rely on side-effects, that's not functional.

Debugging - I personally debug my code by pen and paper rather than using a debugger (which some people might prefer). How good are streams when it comes to debugging?

That's a matter of opinion. I personally think that it makes no difference to debugging.

Operations Complexity - when it comes to writing everyday code (filtering grouping collecting mapping) streams are a cakewalk, but I find that when I have to write complex logic I end up resorting to the old collection based approach as it is more tweakable. Am I the only one doing this?

You are not the only one. On the other a lot of people do a lot more complicated things using than simple filtering, grouping, collecting and mapping. The more you use streams, the better you will get at spotting other use-cases. But the flip-side is that some people seem to want to do things with streams that they probably shouldn't.

I recently started working on a project where they encourage writing code with streams lambdas and such.

That's between you and the rest of the team. I don't think it is my / our business to get into your project team's debates on this.

Source https://stackoverflow.com/questions/65527605

QUESTION

OutOfMemoryError in okhttp3 large file downloading

Asked 2017-Mar-24 at 09:25

I'm try to download zip file (size 160 Mb) via okhttp3. After a couple seconds app crash with stack:

java.lang.IllegalStateException: Fatal Exception thrown on Scheduler.Worker thread. at rx.internal.schedulers.ScheduledAction.run(ScheduledAction.java:59) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:428) at java.util.concurrent.FutureTask.run(FutureTask.java:237) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:272) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1133) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:607) at java.lang.Thread.run(Thread.java:761) Caused by: java.lang.OutOfMemoryError: Failed to allocate a 8204 byte allocation with 1688 free bytes and 1688B until OOM at okio.Segment.(Segment.java:61) at okio.SegmentPool.take(SegmentPool.java:46) at okio.Buffer.writableSegment(Buffer.java:1151) at okio.Okio$2.read(Okio.java:136) at okio.AsyncTimeout$2.read(AsyncTimeout.java:238) at okio.RealBufferedSource.read(RealBufferedSource.java:45) at okhttp3.internal.http.Http1xStream$FixedLengthSource.read(Http1xStream.java:377) at okio.RealBufferedSource.request(RealBufferedSource.java:66) at okhttp3.logging.HttpLoggingInterceptor.intercept(HttpLoggingInterceptor.java:238) at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:92) at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:67) at okhttp3.RealCall.getResponseWithInterceptorChain(RealCall.java:170) at okhttp3.RealCall.execute(RealCall.java:60) at com.bvs.data.MapService$2.call(MapService.java:102) at com.bvs.data.MapService$2.call(MapService.java:94) at rx.Observable.unsafeSubscribe(Observable.java:10142)

Here is my code:

...

ANSWER

Answered 2017-Mar-24 at 09:25

Maybe will be helpful for someone. Solved problem by using Retrofit annotation Streaming

Source https://stackoverflow.com/questions/42950040

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

Vulnerabilities

No vulnerabilities reported

Install tweakable

You can download it from GitHub.
You can use tweakable 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 tweakable 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

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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