SimpleNet | asynchronous network application framework | TCP library
kandi X-RAY | SimpleNet Summary
kandi X-RAY | SimpleNet Summary
SimpleNet is a Java library typically used in Networking, TCP applications. SimpleNet 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, Maven.
SimpleNet is a simplistic, client-server framework written in Java. One or more Client objects can connect to a Server and send data back-and-forth via TCP. Most methods that read data from the network are non-blocking and are invoked asynchronously when the requested data arrives. Not having to block a thread and wait for data is what makes SimpleNet scalable for different types of applications such as chat servers, multiplayer game servers, and so much more!.
SimpleNet is a simplistic, client-server framework written in Java. One or more Client objects can connect to a Server and send data back-and-forth via TCP. Most methods that read data from the network are non-blocking and are invoked asynchronously when the requested data arrives. Not having to block a thread and wait for data is what makes SimpleNet scalable for different types of applications such as chat servers, multiplayer game servers, and so much more!.
Support
Quality
Security
License
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Support
SimpleNet has a low active ecosystem.
It has 177 star(s) with 19 fork(s). There are 17 watchers for this library.
It had no major release in the last 12 months.
There are 4 open issues and 10 have been closed. On average issues are closed in 14 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SimpleNet is 1.6.6
Quality
SimpleNet has 0 bugs and 0 code smells.
Security
SimpleNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
SimpleNet code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
SimpleNet is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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SimpleNet releases are available to install and integrate.
Deployable package is available in Maven.
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 SimpleNet and discovered the below as its top functions. This is intended to give you an instant insight into SimpleNet implemented functionality, and help decide if they suit your requirements.
- Closes the asynchronous channel
- Flushes the output stream
- Closes the underlying asynchronous channel
- Calculate the output size
- Read n bytes from the channel
- Returns the value
- Gets the logical OR predicate
- Puts a byte into the packet
- Returns the logical AND predicate between two BooleanPredicates
- Returns the logical OR of this predicate
- Returns a logical OR predicate that matches this predicate
- Determines whether two CharPredicates are satisfied
- Returns the logical or predicate that matches the other Predicate
- Determines whether two Predicates are satisfied
- Determines whether two Predicates satisfy the other predicate
- Returns a char predicate that matches other predicate
- Returns a CharConsumer that matches the supplied CharConsumer
- Compares two pairs
- Prepend to the stack
- Returns a new ByteConsumer based on the second ByteConsumer
- Returns a new BooleanConsumer with the given boolean consumer
- Returns a new float consumer with the provided floatConsumer
- Returns a new short consumer that accepts a short consumer
- Compares two integers
Get all kandi verified functions for this library.
SimpleNet Key Features
No Key Features are available at this moment for SimpleNet.
SimpleNet Examples and Code Snippets
No Code Snippets are available at this moment for SimpleNet.
Community Discussions
Trending Discussions on SimpleNet
QUESTION
A question about input size in a tensorflow neural network
Asked 2021-Dec-08 at 08:37
I'm a PyTorch user but recently reading some code implemented using tensorflow. My question is, if we just have a simple neural network like this, where is the input size specified? Or is this model allowed to work with a variable size input?
...ANSWER
Answered 2021-Dec-06 at 10:43The input_shape is inferred when you pass real data to your model. Meaning, the input_shape is variable if you do not explicitly define it.
For example, you could explicitly define your input_shape in the first layer of your model:
QUESTION
Weak optimizers in Pytorch
Asked 2020-May-14 at 17:12
Consider a simple line fitting a * x + b = x, where a, b are the optimized parameters and x is the observed vector given by
ANSWER
Answered 2020-May-14 at 17:12The place where you called zero_grad is wrong. During each epoch, gradient is added to the previous one and backpropagated. This makes the loss oscillate as it gets closer, but previous gradient throws it off of the solution again.
Code below will easily perform the task:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SimpleNet
You can download it from GitHub, Maven.
You can use SimpleNet 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 SimpleNet 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 .
You can use SimpleNet 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 SimpleNet 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
Can data be sent and received outside of the onConnect callback? Yes, but only if the client is already connected to the server. However, this is not recommended unless you're well-versed in concurrency, as the onConnect callback is performed asynchronously.Can a SimpleNet Client be used with some unrelated server and vice-versa? Absolutely!I have large packets that exceed the default buffer size; what can I do to avoid an exception? Ideally, the best option would be to split your single, large packet into multiple, small packets. If splitting the packet is not possible for any reason, both Client and Server have an overloaded constructor that accepts a buffer size in bytes. You can simply specify a size larger than 8192 (the default size).Will Java 8 ever be supported again? No, as Java 8 is no longer supported commercially as of January, 2019. SimpleNet will do its best to keep up with LTS releases. However, you're free to clone the project and build it on an older version of Java, as not many code changes are required.What's next for SimpleNet? Once Project Loom is complete and integrated into the mainline JDK, SimpleNet will be rewritten entirely; blocking I/O will be using fibers at that point, which will be much more scalable than my current implementation that uses a fixed thread pool.
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