UpdateFun | Android APP update library./android app自动检测更新库 | Android library

 by   hugeterry Java Version: Current License: Apache-2.0

kandi X-RAY | UpdateFun Summary

kandi X-RAY | UpdateFun Summary

UpdateFun is a Java library typically used in Mobile, Android applications. UpdateFun has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However UpdateFun has 7 bugs. You can download it from GitHub.

Android APP update library./android app自动检测更新库
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            kandi-support Support

              UpdateFun has a low active ecosystem.
              It has 435 star(s) with 103 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 12 open issues and 18 have been closed. On average issues are closed in 165 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of UpdateFun is current.

            kandi-Quality Quality

              OutlinedDot
              UpdateFun has 7 bugs (1 blocker, 0 critical, 4 major, 2 minor) and 91 code smells.

            kandi-Security Security

              UpdateFun has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              UpdateFun code analysis shows 0 unresolved vulnerabilities.
              There are 8 security hotspots that need review.

            kandi-License License

              UpdateFun 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

              UpdateFun 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.
              UpdateFun saves you 493 person hours of effort in developing the same functionality from scratch.
              It has 1159 lines of code, 47 functions and 40 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed UpdateFun and discovered the below as its top functions. This is intended to give you an instant insight into UpdateFun implemented functionality, and help decide if they suit your requirements.
            • Run the download
            • Gets the external cache directory
            • Get cache directory
            • Runs the data
            • Extract data from the result
            • Check apk
            • Returns the package name of an APK
            • Initializes the activity s state
            • Initializes the UpdateFunGO
            • Initializes the tv view
            • Run the update
            • Initializes the DownloadKey
            • Starts the apk installation
            • Get the current application version name
            • Get the icon for the application
            Get all kandi verified functions for this library.

            UpdateFun Key Features

            No Key Features are available at this moment for UpdateFun.

            UpdateFun Examples and Code Snippets

            No Code Snippets are available at this moment for UpdateFun.

            Community Discussions

            QUESTION

            Monadic type checker in Haskell
            Asked 2017-Sep-27 at 20:16

            I'm writing a parser and a type checker in Haskell starting from BNFC. The main function of the type checker is implemented as follows:

            ...

            ANSWER

            Answered 2017-Sep-27 at 20:16

            As mostly covered in @mb14's comments, the usual method involves doing two things:

            • First, instead of returning either a type-checked tree or an error, be prepared to always return a type-checked tree together with a log of zero or more errors. This is easily accomplished with a Writer monad.
            • Second, whenever an error is detected, log the error, try to recover by assuming some valid type for the node being type-checked, and continue the type check.

            In this simple scheme, the type checking always returns a typed tree. If the log of error messages is empty, the type check has succeeded, and the typed tree is valid. Otherwise, the type check has failed with the given set of errors, and the typed tree can be discarded. In a more complex scheme, you could differentiate between warnings and errors in your log, and consider the type checking to have succeeded if it contains zero or more warnings, but no errors.

            I've included a complete example of the technique below for a very simplified grammar. It only returns the top-level type instead of the typed tree, but this is just to keep the code simple -- returning a type-checked tree is not difficult. The hard part in adapting it to your grammar will be determining how to forge ahead (i.e., what valid type to supply) when an error occurs, and it will be highly dependent on the details of your program. Some general techniques are illustrated below:

            • If a node always returns a particular type (e.g., Len below), always assume that type for the node, even if the node doesn't type-check.
            • If a node combines compatible types to determine its result type (e.g, Plus below, or a BNF alternation), then when a type incompatibility is detected, take the type of the node to be determined by the type of its first argument.

            Anyway, here is the complete example:

            Source https://stackoverflow.com/questions/46447006

            QUESTION

            react - pass parent value to child input value
            Asked 2017-Aug-01 at 12:53

            I am new to reactjs. What is the proper way to pass the parent value to child setState, I am having error says below, and I am unable to change input value, the value looks correct but unable to be changed.

            "is changing an uncontrolled input of type text to be controlled. Input elements should not switch from uncontrolled to controlled (or vice versa). Decide between using a controlled or uncontrolled input element for the lifetime of the component"

            ...

            ANSWER

            Answered 2017-Aug-01 at 12:53

            You need to use defaultValue instead of value. Also you must add onChange handler to your input. To handle input changes.

            Child example

            Source https://stackoverflow.com/questions/45438045

            QUESTION

            sparse_softmax_cross_entropy_with_logits results is worse than softmax_cross_entropy_with_logits
            Asked 2017-Apr-15 at 17:14

            I implement classic image classification problem with tensorflow, I have 9 classes, first I use softmax_cross_entropy_with_logits as classifier and train network, after some steps it gives to about 99% train accuracy,

            Then test the same problem with sparse_softmax_cross_entropy_with_logits this time it doesn't converge at all,(train accuracy is around 0.10 and 0.20)

            Only for your information, for softmax_cross_entropy_with_logits, I use [batch_size, num_classes] with dtype float32 for labels, and for sparse_softmax_cross_entropy_with_logits I use [batch_size] with dtype int32 for labels.

            Does anybody have any idea?

            Update:

            ...

            ANSWER

            Answered 2017-Apr-15 at 17:14

            I found the problem, thanks to @mrry for helpful comment, actually I mistake about calculation of accuracy, in fact, "sparse_softmax" and "softmax" has the same loss(or cost) for input logits,

            for computation accuracy, I change

            correct_pred = tf.equal(tf.argmax(self.score_,1), tf.argmax(y,1))

            to

            correct_pred = tf.equal(tf.argmax(self.score_,1), y ))

            since in "sparse_softmax" the ground truth labels are not in one-hot vector format, but real int32 or int64 numbers.

            Source https://stackoverflow.com/questions/43415177

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

            Vulnerabilities

            No vulnerabilities reported

            Install UpdateFun

            You can download it from GitHub.
            You can use UpdateFun 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 UpdateFun 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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            gh repo clone hugeterry/UpdateFun

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