alex | Automata Learning EXperience | Machine Learning library

 by   LearnLib Java Version: v3.0.0 License: Apache-2.0

kandi X-RAY | alex Summary

kandi X-RAY | alex Summary

alex is a Java library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning applications. alex has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However alex build file is not available. You can install using 'npm i alex-cli' or download it from GitHub, npm.

Automata Learning EXperience (ALEX) is a Web application that allows you run automated tests on web applications and JSON-based APIs using active automata learning. Users model Selenium- or HTTP-based test inputs for their application, which are used to automatically infer an automaton model (a Mealy machine), which represents the behavior of the web application.

            kandi-support Support

              alex has a highly active ecosystem.
              It has 30 star(s) with 5 fork(s). There are 10 watchers for this library.
              It had no major release in the last 12 months.
              There are 7 open issues and 86 have been closed. On average issues are closed in 210 days. There are 2 open pull requests and 0 closed requests.
              It has a negative sentiment in the developer community.
              The latest version of alex is v3.0.0

            kandi-Quality Quality

              alex has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              alex 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

              alex releases are available to install and integrate.
              Deployable package is available in npm.
              alex has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed alex and discovered the below as its top functions. This is intended to give you an instant insight into alex implemented functionality, and help decide if they suit your requirements.
            • Gets the outputs for a given job
            • Returns a list of symbols for a user
            • Returns the symbol for a given symbol
            • Gets the outputs for a given environment
            • Returns a list of symbols for a user
            • Returns the symbol for a given symbol
            • User enter a symbol
            • Acquires a symbol lock for the given symbol
            • Requests a status message
            • Build an error message
            • Executes the script
            • Create a script store
            • Executes the wait time
            • Executes the select
            • Execute the file store
            • Creates a new user
            • Initializes the settings object
            • Requests the status of the project
            • Executes the action
            • Reset the connector manager
            • Executes the JavaScript
            • Executes the given counter
            • Generates a number of examples for a given hypothesis
            • Handles a session connect event
            • Execute the variable store
            • Handles a session disconnect event
            • Execute the check method
            • Execute the target
            Get all kandi verified functions for this library.

            alex Key Features

            No Key Features are available at this moment for alex.

            alex Examples and Code Snippets

            No Code Snippets are available at this moment for alex.

            Community Discussions


            MySql 5.5; possible to exclude a table from logging?
            Asked 2022-Mar-30 at 04:10

            MySql 5.5 has a few logging option, among which the "Binary Logfile" with Binlog options which I do not want to use and the "query log file" which I want to use.

            However, 1 program using 1 table in that database is filling this logfile with 50+Mb per day, so I would like that table to be excluded from this log.

            Is that possible, or is the only way to install another MySql version and then to move this 1 table?

            Thanks, Alex



            Answered 2022-Mar-29 at 20:14

            There are options for filtering the binlog by table, but not the query logs.

            There are no options for filtering the general query log. It is either enabled for all queries, or else it's disabled.

            There are options for filtering the slow query log, but not by table. For example, to log only queries that take longer than N seconds, or queries that don't use an index. Percona Server adds some options to filter the slow query log based on sampling.

            You can use a session variable to disable either slow query or general query logging for queries run in a given session. This is a dynamic setting, so you can change it at will. But you would need to change your client code to do this every time you query that specific table.

            Another option is to implement log rotation for the slow query log, so it never grows too large. See



            MongoDB compass its not exporting all data for collection
            Asked 2022-Mar-17 at 11:33

            while trying to export collection from MongoDB compass it's not exporting all data, it's only export fields that are present in all documents. for eg: if document 1 has



            Answered 2022-Mar-17 at 11:33

            MongoDB Compass has known issues on exporting an importing data for long time and it seems they are not willing to improve it!

            When you try to export data using compass, it uses some sample documents to select the fields and if you are unlucky enough, you will miss some fields.


            1. Use the Mongo DB Compass Aggregation tab to find all the existing fields in all documents:

              [{$project: { arrayofkeyvalue: { $objectToArray: '$$ROOT'} }},
              {$unwind: '$arrayofkeyvalue'},
              {$group: { _id: null, allkeys: { $addToSet: '$arrayofkeyvalue.k' } }}]

            2. Add the fields from the 1st step to the Export Full Collection (Select Fields).

            3. Export it!



            require('node-fetch') gives ERR_REQUIRE_ESM
            Asked 2022-Mar-16 at 11:46

            I just use



            Answered 2021-Sep-07 at 11:53

            From the node-fetch package readme:

            node-fetch is an ESM-only module - you are not able to import it with require. We recommend you stay on v2 which is built with CommonJS unless you use ESM yourself. We will continue to publish critical bug fixes for it.

            If you want to require it, then downgrade to v2.

            The other option you have is to use async import('node-fetch').then(...)



            How to improve the HTML Table Styling that is to be converted into a PDF File
            Asked 2022-Jan-25 at 00:43

            I have a Python code that is creating HTML Tables and then turning it into a PDF file. This is the output that I am currently getting

            This image is taken from PDF File that is being generated as result (and it is zoomed out at 55%)

            I want to make this look better. Something similar to this, if I may

            This image has 13 columns, I don't want that. I want to keep 5 columns but my major concern is the size of the td in my HTML files. It is too small in width and that is why, the text is also very stacked up in each td. But if you look at the other image, text is much more visible and boxes are much more bigger width wise. Moreover, it doesn't suffer from height problems either (the height of the box is in such a way that it covers the whole of the PDF Page and all the tds don't look like stretched down)

            I have tried to play around the height and width of my td in the HTML File, but unfortunately, nothing really seemed to work for me.

            Edit: Using the code provided by onkar ruikar, I was able to achieve very good results. However, it created the same problem that I was facing previously. The question was asked here: Horizontally merge and divide cells in an HTML Table for Timetable based on the Data in Python File

            I changed up the template.html file of mine and then ran the same code. But I got this result,

            As you can see, that there were more than one lectures in the First Slot of Monday, and due to that, it overlapped both the courses. It is not reading the

            command properly in this HTML file now.

            The modified template.html file has this code,



            Answered 2022-Jan-25 at 00:43

            What I've done here is remove the borders from the table and collapsed the space for them.

            I've then used more semantic elements for both table headings and your actual content with semantic class names. This included adding a new element for the elements you want at the bottom of the cell. Finally, the teacher and codes are floated left and right respectively.



            Horizontally merge and divide cells in an HTML Table for Timetable based on the Data in Python File
            Asked 2022-Jan-15 at 06:02

            Please note this question is an extension of this previously asked question: How to make Images/PDF of Timetable using Python

            I am working on a program that generates randomized Timetable based on an algorithm. For the Final Output of that program, I require a Timetable to be stored in a PDF File.

            There are multiple sections and each section must have its own timetable/schedule. Each Section can have multiple Courses whose lectures will be allocated on different slots from Monday to Friday by the algorithm. For my timetable,

            • There are 5 days in total (Monday to Friday)
            • Each day will have 5 slots (0 to 4 in indexes. With a "Lunch" Break between 3rd and 4th slot)

            As an Example, I have created below a dictionary where key represents the Section and the items have a 2D Array of size 5x5. Each Index of that 2D array contains the course details for which the lecture will take place in that slot.



            Answered 2022-Jan-15 at 06:02

            I am not much familiar with Jinja, so this answer might not be the most efficient one.

            By using basic hard coding in your Template.HTML file, I was able to achieve the results you are trying to. For this, I used the same code that was given by D-E-N in your previous question.

            I combined all the attributes of your object into a string

            • An attribute is differentiated from another with @ (like Course and Teacher)
            • Instead of using space character, I used a _ character to represent space character in the attributes.
            • If one slot contains multiple objects, they are differentiated with space character (just like in the code provided by D-E-N)

            Here's the updated code of yours with these changes,



            502 Error: Bad Gateway on Azure App Service with IronPDF
            Asked 2022-Jan-10 at 08:54

            I am attempting to get IronPDF working on my deployment of an ASP.NET Core 3.1 App Service. I am not using Azure Functions for any of this, just a regular endpoints on an Azure App Service -which, when a user calls it, the service generates and returns a generated PDF document.

            When running the endpoint on localhost, it works perfectly- generating the report from the HTML passed into the method. However, once I deploy it to my Azure Web App Service, I am getting a 502 - Bad Gateway error, as attached (displayed in Swagger for neatness sake).




            Answered 2021-Dec-14 at 02:19

            App Service runs your apps in a sandbox and most PDF libraries will fail. Looking at the IronPDF documentation, they say that you can run it in a VM or a container. Since you already are using App Service, simply package your app in a container, publish it to a container registry and configure App Service to run it.



            How to add prefix to column names except some columns?
            Asked 2021-Dec-11 at 02:43

            This is an adaptation of a question posed by @ScalaBoy here and answered by @timgeb, the question is the same, except it is about a prefix not suffix:

            Given pandas DataFrame, how can I add the prefix "new_" to all columns except two columns Id and Name?



            Answered 2021-Dec-11 at 01:50

            Use add_prefix. This function is applied to the whole dataframe. To hide columns you dont need renamed, set them as index. After renaming you can reset back the index. Code below



            How to have a column full of lists in pandas
            Asked 2021-Dec-08 at 09:35

            I have a pandas dataframe as follows



            Answered 2021-Dec-08 at 05:16

            What you are looking for is actually called a cross merge, available from Pandas 1.2.0+:



            How to write a list containing key and another list as value into CSV file per column in Python
            Asked 2021-Nov-30 at 12:14

            can someone please help me?

            I have a list:



            Answered 2021-Nov-30 at 11:57

            You need to convert what you have into list of flat tuples or flat list before feeding into writerow, for example



            How do I melt a pandas dataframe?
            Asked 2021-Nov-04 at 09:34

            On the pandas tag, I often see users asking questions about melting dataframes in pandas. I am gonna attempt a cannonical Q&A (self-answer) with this topic.

            I am gonna clarify:

            1. What is melt?

            2. How do I use melt?

            3. When do I use melt?

            I see some hotter questions about melt, like:

            So I am gonna attempt a canonical Q&A for this topic.


            I will have all my answers on this dataset of random grades for random people with random ages (easier to explain for the answers :D):



            Answered 2021-Nov-04 at 09:34
            Note for users with pandas version under < 0.20.0, I will be using df.melt(...) for my examples, but your version would be too low for df.melt, you would need to use pd.melt(df, ...) instead. Documentation references:

            Most of the solutions here would be used with melt, so to know the method melt, see the documentaion explanation

            Unpivot a DataFrame from wide to long format, optionally leaving identifiers set.

            This function is useful to massage a DataFrame into a format where one or more columns are identifier variables (id_vars), while all other columns, considered measured variables (value_vars), are “unpivoted” to the row axis, leaving just two non-identifier columns, ‘variable’ and ‘value’.

            And the parameters are:


            • id_vars : tuple, list, or ndarray, optional

              Column(s) to use as identifier variables.

            • value_vars : tuple, list, or ndarray, optional

              Column(s) to unpivot. If not specified, uses all columns that are not set as id_vars.

            • var_name : scalar

              Name to use for the ‘variable’ column. If None it uses or ‘variable’.

            • value_name : scalar, default ‘value’

              Name to use for the ‘value’ column.

            • col_level : int or str, optional

              If columns are a MultiIndex then use this level to melt.

            • ignore_index : bool, default True

              If True, original index is ignored. If False, the original index is retained. Index labels will be repeated as necessary.

              New in version 1.1.0.

            Logic to melting:

            Melting merges multiple columns and converts the dataframe from wide to long, for the solution to Problem 1 (see below), the steps are:

            1. First we got the original dataframe.

            2. Then the melt firstly merges the Math and English columns and makes the dataframe replicated (longer).

            3. Then finally adds the column Subject which is the subject of the Grades columns value respectively.

            This is the simple logic to what the melt function does.


            I will solve my own questions.

            Problem 1:

            Problem 1 could be solve using pd.DataFrame.melt with the following code:


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


            No vulnerabilities reported

            Install alex

            You can install using 'npm i alex-cli' or download it from GitHub, npm.
            You can use alex 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 alex 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 For Gradle installation, please refer .


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