gru | HTTP interaction testing framework with out-of-box support | Unit Testing library

by agorapulse Java Version: 1.4.0 License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | gru Summary

gru is a Java library typically used in Testing, Unit Testing applications. gru has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub, Maven.

Gru is HTTP interaction testing framework with out-of-box support for Grails and REST interfaces.

Support

Quality

Security

License

Reuse

Support

gru has a low active ecosystem.

It has 11 star(s) with 2 fork(s). There are 21 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 9 open issues and 3 have been closed. On average issues are closed in 6 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gru is 1.4.0

Quality

gru has 0 bugs and 0 code smells.

Security

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

gru code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gru does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

gru releases are available to install and integrate.

Deployable package is available in Maven.

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

It has 11748 lines of code, 465 functions and 70 files.

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

Top functions reviewed by kandi - BETA

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

This method executes a route proxy
Returns the full path
Finds a mapping for the route and url
Get the HTTP request HTTP method
Serialize this request
Serialize the given configuration to JSON
Waits for a great circle to become moon
Sends a toast response to the application
Returns the redirect URL
Get multi - value headers
This method is called before the Unit tests
Set the request body
Set the path parameters
Set request body
Add a parameter
A convenience method to steal the Gateway proxy
Add a query parameter
Eliminates a person from a moon
Returns a redirect URL
Sets the payload
Get the response body as String
Get response status
Calls the given callable
Sets the multipart
Maps specified HTTP methods to this route
Build ok http request

Get all kandi verified functions for this library.

gru Key Features

No Key Features are available at this moment for gru.

gru Examples and Code Snippets

No Code Snippets are available at this moment for gru.

Community Discussions

Trending Discussions on gru

tf2.0: Gradient Tape returns None gradient in RNN model

How to edit a string type column of a python dataframe according to rule?

ValueError: Unexpected result of `train_function` (Empty logs). for RNN

making GRU/LSTM states trainable in Tensorflow/Keras and add some random noise

LSTM/GRU setting states to random noise instead or resetting to zero

Tensorflow LSTM/GRU reset states once per epoch and not for each new batch

Saving a GAN in keras using tf.train.Checkpoint

Node.JS - How to pass a variable to my API function?

Jax/Flax (very) slow RNN-forward-pass compared to pyTorch?

Why some of the hidden units return zero in the GRU autoencoder?

QUESTION

tf2.0: Gradient Tape returns None gradient in RNN model

Asked 2022-Mar-27 at 23:56

In a model with an embedding layer and SimpleRNN layer, I would like to compute the partial derivative dh_t/dh_0 for each step t.

The structure of my model, including imports and data preprocessing.
Toxic comment train data available: https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/data?select=jigsaw-toxic-comment-train.csv
GloVe 6B 100d embeddings available: https://nlp.stanford.edu/projects/glove/

...

ANSWER

Answered 2022-Feb-18 at 14:02

You could maybe try using tf.gradients. Also rather use tf.Variable for h0:

Source https://stackoverflow.com/questions/71153292

QUESTION

How to edit a string type column of a python dataframe according to rule?

Asked 2022-Mar-17 at 11:51

For a university work, we have some geographic coordinates of world locations in a pandas dataframe:

...

ANSWER

Answered 2022-Mar-17 at 11:51

You can use str.replace:

Source https://stackoverflow.com/questions/71511685

QUESTION

ValueError: Unexpected result of `train_function` (Empty logs). for RNN

Asked 2022-Mar-14 at 10:06

I am reproducing the examples of the chapter 16 of the book Hands-On Machine Learning of Aurélien Géron and found an error while trying to train a simple RNN model.

The error is the following:

...

ANSWER

Answered 2022-Mar-14 at 10:06

The problem is that tokenizer.document_count considers the whole text as one data entry, which is why dataset_size equals 1 and train_size therefore equals 0, resulting in an empty data set. Try using the encoded array to get the true number of data entries:

Source https://stackoverflow.com/questions/71242821

QUESTION

making GRU/LSTM states trainable in Tensorflow/Keras and add some random noise

Asked 2022-Feb-23 at 20:13

I train the following model based on GRU, note that I am passing the argument stateful=True to the GRU builder.

...

ANSWER

Answered 2022-Feb-22 at 09:55

You could try defining a custom GRU layer with a trainable variable for the states but not sure how the performance will be:

Source https://stackoverflow.com/questions/71218323

QUESTION

LSTM/GRU setting states to random noise instead or resetting to zero

Asked 2022-Feb-22 at 08:05

I train the following model based on GRU, note that I am passing the argument stateful=True to the GRU builder.

...

ANSWER

Answered 2022-Feb-22 at 08:05

You can try using tf.random.normal:

Source https://stackoverflow.com/questions/71212927

QUESTION

Tensorflow LSTM/GRU reset states once per epoch and not for each new batch

Asked 2022-Feb-21 at 15:16

I train the following model based on GRU, note that I am passing the argument stateful=True to the GRU builder.

...

ANSWER

Answered 2022-Feb-21 at 15:16

You can try resetting the states in a custom Callback:

Source https://stackoverflow.com/questions/71207724

QUESTION

Saving a GAN in keras using tf.train.Checkpoint

Asked 2021-Dec-08 at 09:03

UPDATE: To solve this, I kept the checkpoint structure the same but wrote a custom train_step function, with the help of the repo linked in the accepted answer of the question linked below, which calculated the gradients and used apply_weights rather than compiling the model and using train_on_batch. This lets the full GAN state be restored. Sadly, with this method I'm fairly sure the dropout layers no longer work as the discriminator is able to work perfectly very early in the training which prevents the model from training properly. Nevertheless, the original problem is solved.

Original:

I am currently training a GAN in keras and trying to make it so that I can save the model and resume training later. Ordinarily in keras you'd simply use model.save(), however for a GAN if the discriminator and GAN (combined generator and discriminator, with discriminator weights not trainable) models are saved and loaded separately then the link between them is broken and the GAN will not function as expected. Someone asked a similar question here, How to save and resume training a GAN with multiple model parts with Tensorflow 2/ Keras, and was told to use tf.train.Checkpoint instead to save the full model at once as a checkpoint.

I've tried implementing this as follows:

...

ANSWER

Answered 2021-Nov-16 at 14:46

If you have the following checkpoint structure, your model should work properly:

Source https://stackoverflow.com/questions/69988670

QUESTION

Node.JS - How to pass a variable to my API function?

Asked 2021-Nov-13 at 10:07

I have created a very simple API based on two files as follows:

api.js

...

ANSWER

Answered 2021-Nov-13 at 09:51

@Bob, going by the use case, you can expect the iata from the params of the API. In handlers.js file in getWhereToApi() function you could extract it using const iata = req.params.iata; way, as following

Source https://stackoverflow.com/questions/69953074

QUESTION

Jax/Flax (very) slow RNN-forward-pass compared to pyTorch?

Asked 2021-Oct-29 at 19:38

I recently implemented a two-layer GRU network in Jax and was disappointed by its performance (it was unusable).

So, i tried a little speed comparison with Pytorch. Minimal working example

This is my minimal working example and the output was created on Google Colab with GPU-runtime. notebook in colab

...

ANSWER

Answered 2021-Oct-29 at 13:49

The reason the JAX code compiles slowly is that during JIT compilation JAX unrolls loops. So in terms of XLA compilation, your function is actually very large: you call rnn_jax.apply() 1000 times, and compilation times tend to be roughly quadratic in the number of statements.

By contrast, your pytorch function uses no Python loops, and so under the hood it is relying on vectorized operations that run much faster.

Any time you use a for loop over data in Python, a good bet is that your code will be slow: this is true whether you're using JAX, torch, numpy, pandas, etc. I'd suggest finding an approach to the problem in JAX that relies on vectorized operations rather than relying on slow Python looping.

Source https://stackoverflow.com/questions/69767707

QUESTION

Why some of the hidden units return zero in the GRU autoencoder?

Asked 2021-Sep-28 at 16:26

I have implemented a recurrent neural network autoencoder as below:

...

ANSWER

Answered 2021-Sep-28 at 16:26

This may be because of the dying relu problem. The relu is 0 for negative values. Have a look at this (https://towardsdatascience.com/the-dying-relu-problem-clearly-explained-42d0c54e0d24) explanation of the problem.

Source https://stackoverflow.com/questions/69364684

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

Vulnerabilities

No vulnerabilities reported

Install gru

You can download it from GitHub, Maven.
You can use gru 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 gru 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 .

Find more information at: