spec.sh | mini sh test framework that produces go test compatible | Unit Testing library

 by   kesselborn Shell Version: Current License: No License

kandi X-RAY | spec.sh Summary

kandi X-RAY | spec.sh Summary

spec.sh is a Shell library typically used in Testing, Unit Testing applications. spec.sh has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A mini sh test framework that produces go test compatible output.
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              spec.sh has a low active ecosystem.
              It has 23 star(s) with 2 fork(s). There are 6 watchers for this library.
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              It had no major release in the last 6 months.
              spec.sh has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spec.sh is current.

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              spec.sh has no bugs reported.

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              spec.sh has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              spec.sh does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              spec.sh releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            spec.sh Key Features

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            spec.sh Examples and Code Snippets

            No Code Snippets are available at this moment for spec.sh.

            Community Discussions

            QUESTION

            RSA/ECB/OAEPWITHSHA-256ANDMGF1PADDING in C# Bouncy Castle - input too large for RSA cipher
            Asked 2020-Nov-25 at 13:34

            HI I am trying to convert a piece of Java Code to C# for decrypting using RSA Key

            Java Code

            ...

            ANSWER

            Answered 2020-Nov-25 at 13:34

            So that the C# code functionally corresponds to the Java code, in the C# code encryptedString must be Base64 decoded before decryption (and not UTF8 encoded). The decrypted data must be UTF8 decoded (and not Base64 encoded):

            Source https://stackoverflow.com/questions/64988204

            QUESTION

            Change Model input_shape but got an : ValueError: Input 0 of layer dense_44 is incompatible with the layer
            Asked 2020-Oct-06 at 13:47

            I am new to python and DL. Please help me to correct the error. This class was originly created with mnist dataset (28 x 28) I tried to adapt it to my work and the image that I am using are (224 x 224). I changed the input image shape but still have the incompatible shape image and the model still use the old shapes of mnist. Knowng that the that I am using: X_train=(676, 224, 224)/y_train(676,)/X_test(170, 224, 224)/y_test(170,)

            The code :

            ...

            ANSWER

            Answered 2020-Oct-06 at 13:47

            You forgot to change the architecture of the generator. The generator's output shape and the discriminator's input shape have to match. That's what causing the error.

            To fix it, you need to fix the architecture. The generator produces images in shape (28, 28, 1), but you want (224, 224, 1). The shape the architecture produces is the result of the architecture itself and its parameters.

            So I added two Upsampling layers and changed the size of the other layers to match the discriminator's output.

            Also, I removed ZeroPadding2D layer from discriminator, since it made the shape odd (15, 15, ..), and therefore it was impossible to match the same size in the generator.

            Here's the code:

            Source https://stackoverflow.com/questions/64217263

            QUESTION

            Time steps difference in spectrogram
            Asked 2020-Sep-30 at 16:30

            I have an audio file of 10 seconds in length. If I generate the spectrogram using matplotlib, then I get a different number of timesteps as compared to the spectrogram generated by librosa.

            Here is the code:

            ...

            ANSWER

            Answered 2020-Sep-30 at 16:30

            This is because the noverlap of plt.specgram consider the number of points to overlap the audio segments with, whereas the hop_length consider the step between the segments.

            That being said, there is still a 2-points difference between the two results, but this is most possibly due to the boundaries.

            Source https://stackoverflow.com/questions/64136637

            QUESTION

            connectiong wizard to redux
            Asked 2020-Apr-22 at 14:40
                  action.ts:
                  export const fetchField = (dispatch) => {
                      console.log("!!!")
                      const Form = new Service();
                      Form
                        .getProduct()
                        .then((spec: Spec) => {
                          dispatch({
                            type: ACTIONS.SPEC.SHOW,
                            spec : specification,
                          });
                        })
                        .catch((err) => {});
                    };
            
                appReducer:
                export interface FormsState {
                 products: Array
                }
                let initialState: FormsState = {
                products: []
                };
            
                export let appReducer = (
                  state: FormsState = initialState,
                  action
                ) => {
                  switch (action.type) {
                    case ACTIONS.SPEC.SHOW:
                      return Object.assign({}, state, {
                          products: [...action.products],
                        });
            
                    default:
                      return state;
                  }
                };
            
            App.tsx:
            
            const mapStateToProps = (state: FormsState) => {
              return state;
            };
            
            
            const mapDispatchToProps = dispatch => {
              return {
                fetchField: () => fetchField(dispatch),
              };
            }
            interface Props{
              fetchField: Function;
              details: Array
            }
            
             componentDidMount() {
                this.props.fetchSwaggerField();
            }
            render(){
             
            }
            
            ...

            ANSWER

            Answered 2020-Apr-22 at 14:40

            Here is the answer for your new issue to add/delete fields

            You can use FieldArray. The FieldArray component is how you render an array of fields (ref)

            A sample code with add/delete:

            Source https://stackoverflow.com/questions/61316985

            QUESTION

            Is there any way to mock Pundit policy authorize in request specs?
            Asked 2020-Apr-12 at 19:25

            I am using Pundit for authorization on my Rails app and I am unit testing my requests. I have already successfully tested the policy but now I want to verify that my request is using that policy. I want to do it in a generic way, that I can use in ANY request spec (regardless of the controller, the action, and the policy). To be honest at this point I would be conformed with a way of saying "expect any policy to receive authorize", generic to all requests.

            For the index action (that uses the policy scope) it was easy:

            In the request describe I say

            ...

            ANSWER

            Answered 2020-Jan-16 at 01:11

            First, you need to test your pundit policy alone. Second, to pass pundit policy, you can stub object that satisfy pundit policy

            Source https://stackoverflow.com/questions/59758888

            QUESTION

            Trying to use previously trained tf.keras model as pretraining, but getting "ValueError: Input 0 of layer dense_3 is incompatible with the laye
            Asked 2020-Jan-23 at 00:12

            I created and trained a model to classify beer names from invoice strings encoded as integer sequences from characters.

            ...

            ANSWER

            Answered 2020-Jan-23 at 00:11

            I can't really tell you why that is happening (I'll probably have to look into the source code). I'm suspecting that the layers get re-wired incorrectly somewhere down the line. But you can do the following to get this working.

            Source https://stackoverflow.com/questions/59864710

            QUESTION

            IllegalStateException: must not be null of Spock unit test with Kotlin business logic
            Asked 2019-Oct-20 at 16:06

            I try to get a MongoTemplate (Spring Data) worked with my Spock spec test. I use Kotlin as language for the business logic.

            Please see my specification logic:

            ...

            ANSWER

            Answered 2019-Oct-20 at 16:06

            Remove this line from setup() method:

            Source https://stackoverflow.com/questions/58472995

            QUESTION

            How to add OAEPParameterSpec to a JWE object?
            Asked 2019-Aug-19 at 16:59

            I need to add an OAEPParameterSpec as a AlgorithmParameterSpec to a JWE (Json Web Encryption) object. How can I do that?

            I'm using a client - server application. server is encrypting in RSA-OAEP-256 encryption algorithm, client is failing at decrypting it since it is using an HSM and there is a padding issue. A lot of researches shows that BouncyCastle provider has to be used in order to solve that but that isn't relevant for me because I can't change the HSM.

            In order to have this there is a tweak should be done at server side before encrypting is to add the following line

            ...

            ANSWER

            Answered 2019-Aug-19 at 16:59

            QUESTION

            RSA encryption: Encrypt in android / java, decrypt in python (cryptography)
            Asked 2019-Mar-04 at 08:29
            The problem

            I'm trying to configure asymmetric encryption between python and java / android. The use case is storing user passwords securely (using the public key), enabling re-authentication to the server (which has the private key).

            I've got the crypto algorithms working separately in Python and Java, but can't get my Python side to decrypt ciphertext generated in Java. I think the two most likely issues are either

            1. Issues with base64 encoded strings (have been struggling with these plenty!), or
            2. Mismatched padding and other encryption specifications between client / server

            To create a complete example here i'll reproduce both private and public keys, and then will re-generate a new set for actual use.

            Java (client) side code:

            Java imports

            ...

            ANSWER

            Answered 2019-Mar-04 at 08:29

            Based on the comment from Kelakela, i realised that the problem was that the output of the Java code is in Base64, while the python code requires Binary input.

            The solution was as simple as:

            Source https://stackoverflow.com/questions/54918139

            QUESTION

            Use Fingerprint and pin
            Asked 2019-Jan-17 at 14:37

            Hello I'm trying to use a fingerprint and pin code to access my android application. I encrypt the data using the Cipher. I store encrypted pin in a SharedPreferences. I can decrypt the pin code with a fingerprint, but I can not decrypt them if I enter the pin manually. I mean, I enter the pin in EditText and try to compare it with the encrypted pin in the SharedPreferences.

            CryptoUtils class:

            ...

            ANSWER

            Answered 2019-Jan-17 at 12:58

            I would encrypt a salted password and store it (as SHA256) in Android preferences and then when user enters password I would encrypt the password again and checks if the product of SHA256 is the same.

            Source https://stackoverflow.com/questions/54236409

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

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