probably | To probe what we can't prove, so the unprovable may become probable; testing for Scala | Unit Testing library

 by   propensive Scala Version: Current License: Apache-2.0

kandi X-RAY | probably Summary

kandi X-RAY | probably Summary

probably is a Scala library typically used in Testing, Unit Testing applications. probably has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Probably is a testing library designed to unintrusively provide test recording and reporting capabilities to any codebase, regardless of the users’ choices of libraries or programming paradigms. Probably can define and run unit tests and property tests. Its syntax is simple and unexciting, and its execution model has zero magic: it’s the same as for any other program.
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            kandi-support Support

              probably has a low active ecosystem.
              It has 57 star(s) with 12 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 7 open issues and 27 have been closed. On average issues are closed in 197 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of probably is current.

            kandi-Quality Quality

              probably has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              probably 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

              probably releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of probably
            Get all kandi verified functions for this library.

            probably Key Features

            No Key Features are available at this moment for probably.

            probably Examples and Code Snippets

            Probably,Getting Started,Parameterized tests
            Scaladot img1Lines of Code : 16dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            import probably.*
            
            def runTest(x: Int): Unit =
              test("the sum of three identical integers is divisible by 3") {
                x + x + x
              }.assert(_%3 == 0)
            
            runTest(2)
            runTest(50)
            runTest(Int.MaxValue)
            
            import probably.*
            
            def runTest(x: Int): Unit =
              test("  
            Probably,Getting Started,Property-based testing
            Scaladot img2Lines of Code : 9dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            import probably.*
            
            case class Person(name: String, age: Int)
            
            Generate.stream[Person](1000).foreach { person =>
              test("all persons have realistic ages", v = person) {
                person.age
              }.assert { a => a >= 0 && a < 100 }
            }
              
            Probably,Getting Started
            Scaladot img3Lines of Code : 6dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            import probably.*
            
            test("the sum of two identical integers is divisible by two") {
              val x: Int = 7
              x + x
            }.assert(_%2 == 0)
              

            Community Discussions

            QUESTION

            How to publish two messages of the same type to different worker instances based on the message content without using Send and RequestAddress?
            Asked 2021-Jun-16 at 03:47

            How to publish two messages of the same type to different worker instances based on the message content without using Send and RequestAddress?

            My scenario is:

            I am using Azure ServiceBus and Azure StorageTables.

            I am running two different instances of the same worker service workera and workerb. I need workera and workerb to both consume messages of type Command based on the value of Command.WorkerPrefix.

            the Command type looks like:

            ...

            ANSWER

            Answered 2021-Jun-15 at 23:37

            Using MassTransit with Azure Service Bus, I would suggest taking the message routing burden away from the publisher, and moving it to the consumer. By configuring the receive endpoint and using a subscription filter each instance would add its own subscription and use a message header to filter published messages.

            On the publisher, a message header would be added:

            Source https://stackoverflow.com/questions/67993639

            QUESTION

            unresolved external symbol _SDL_main referenced in function _main_getcmdline
            Asked 2021-Jun-16 at 01:23

            This is probably me being stupid but what am I doing wrong here? I'm not sure if I need the code but I'm doing this in Visual Studio 2019.

            ...

            ANSWER

            Answered 2021-Jun-16 at 01:05

            Did you make sure that your project is linked with SDL2.lib and SDL2main.lib?

            Source https://stackoverflow.com/questions/67995083

            QUESTION

            Managing nested Firebase realtime DB queries with await/async
            Asked 2021-Jun-15 at 19:34

            I'm writing a Firebase function (Gist) which

            1. Queries a realtime database ref (events) in the following fashion:

              await admin.database().ref('/events_geo').once('value').then(snapshots => {

            2. Iterates through all the events

              snapshots.forEach(snapshot => {

            3. Events are filtered by a criteria for further processing

            4. Several queries are fired off towards realtime DB to get details related to the event

              await database().ref("/ratings").orderByChild('fk_event').equalTo(snapshot.key).once('value').then(snapshots => {

            5. Data is prepared for SendGrid and the processing is finished

            All of the data processing works perfectly fine but I can't get the outer await (point 1 in my list) to wait for the inner awaits (queries towards realtime DB) and thus when SendGrid should be called the data is empty. The data arrives a little while later. Example output from Firebase function logs can be seen below:

            10:54:12.642 AM Function execution started

            10:54:13.945 AM There are no emails to be sent in afterEventHostMailGoodRating

            10:54:14.048 AM There are no emails to be sent in afterEventHostMailBadRating

            10:54:14.052 AM Function execution took 1412 ms, finished with status: 'ok'

            10:54:14.148 AM

            Super hyggelig aften :)

            super oplevelse, ... long string generated

            Gist showing the function in question

            I'm probably mixing up my async/awaits because of the awaits inside the await. But I don't see how else the code could be written without splitting it out into many atomic pieces but that would still require stitching a bunch of awaits together and make it harder to read.

            So, two questions in total. Can this code work and what would be the ideal way to handle this pattern of making further processing on top of data fetched from Realtime DB?

            Best regards, Simon

            ...

            ANSWER

            Answered 2021-Jun-15 at 11:20

            Your problem is that you use async in a foreEach loop here:

            Source https://stackoverflow.com/questions/67984092

            QUESTION

            How can I plot two column combinations from a df or tibble as a scatterplot in R using purrr (pipes, maps, imaps)
            Asked 2021-Jun-15 at 17:51

            I am trying to create scatter plots of all the combinations for the columns: insulin, sspg, glucose (mclust, diabetes dataset, in R) with class as the colo(u)r. By that I mean insulin with sspg, insulin with glucose and sspg with glucose.

            And I would like to do that with tidyverse, purrr, mappings and pipe operations. I can't quite get it to work, since I'm relatively new to R and functional programming.

            When I load the data I've got the columns: class, glucose, insulin and sspg. I also used pivot_longer to get the columns: attr and value but I was not able to plot it and don't know how to create the combinations.

            I assume that there will be an iwalk() or map2() function at the end and that I might have to use group_by() and nest() and maybe combn(., m=2) for the combinations or something like that. But it will probably have some way simpler solution that I can not see myself.

            My attempts have amounted to this:

            ...

            ANSWER

            Answered 2021-Jun-15 at 17:34
            library(mclust)
            #> Package 'mclust' version 5.4.7
            #> Type 'citation("mclust")' for citing this R package in publications.
            library(tidyverse)
            data("diabetes")
            

            Source https://stackoverflow.com/questions/67990027

            QUESTION

            What happens to the CPU pipeline when the memory with the instructions is changed by another core?
            Asked 2021-Jun-15 at 16:56

            I'm trying to understand how the "fetch" phase of the CPU pipeline interacts with memory.

            Let's say I have these instructions:

            ...

            ANSWER

            Answered 2021-Jun-15 at 16:34

            It varies between implementations, but generally, this is managed by the cache coherency protocol of the multiprocessor. In simplest terms, what happens is that when CPU1 writes to a memory location, that location will be invalidated in every other cache in the system. So that write will invalidate the line in CPU2's instruction cache as well as any (partially) decoded instructions in CPU2's uop cache (if it has such a thing). So when CPU2 goes to fetch/execute the next instruction, all those caches will miss and it will stall while things are refetched. Depending on the cache coherency protocol, that may involve waiting for the write to get to memory, or may fetch the modified data directly from CPU1's dcache, or things might go via some shared cache.

            Source https://stackoverflow.com/questions/67988744

            QUESTION

            learning mysql, JOIN query
            Asked 2021-Jun-15 at 14:56

            i'm a beginner on MYSQL db and i'm trying to play around with the query and relations.

            i have created 2 tables, one is 'users' which contain the field staff_ID and the other is 'reports' which also contain the table field staff_ID of the user submitting the reports.

            on the relations (see picture) i have connect the 2 staff id field.

            every user can submit more than one reports, so i'm try to query and get only the reports of one users(staff_ID). I understood i have to use the JOIN keyword in order to obtain the data..

            i tried the following query but it gave me all the result for all the users.

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:22

            You can do this either with an inner join or a where clause:

            Source https://stackoverflow.com/questions/67987066

            QUESTION

            Php development server freezes on start
            Asked 2021-Jun-15 at 14:30

            Hi so I'm starting to learn PHP and one of the first steps was to run the Development Server to start practicing, the line I used was:

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:30

            The server isn't "frozen", it's doing its job, waiting for requests and serving responses. Go to http://localhost:4000 in your web browser to request something from it.

            Specifically, since you didn't specify a PHP script for it to run, it's waiting for you to request a particular file - if you have a file called "index.php", you can go to "http://localhost:4000/index.php" in your browser, if it's called "arnoldo-rocks.php", go to "http://localhost:4000/arnoldo-rocks.php", and so on.

            It will carry on doing that until you kill it with Ctrl-C

            If you want to run it in the background while you run other commands, and are using a Linux/Unix shell (not CMD or PowerShell), you can run it this way:

            Source https://stackoverflow.com/questions/67987684

            QUESTION

            Recommended way of measuring execution time in Tensorflow Federated
            Asked 2021-Jun-15 at 13:49

            I would like to know whether there is a recommended way of measuring execution time in Tensorflow Federated. To be more specific, if one would like to extract the execution time for each client in a certain round, e.g., for each client involved in a FedAvg round, saving the time stamp before the local training starts and the time stamp just before sending back the updates, what is the best (or just correct) strategy to do this? Furthermore, since the clients' code run in parallel, are such a time stamps untruthful (especially considering the hypothesis that different clients may be using differently sized models for local training)?

            To be very practical, using tf.timestamp() at the beginning and at the end of @tf.function client_update(model, dataset, server_message, client_optimizer) -- this is probably a simplified signature -- and then subtracting such time stamps is appropriate?

            I have the feeling that this is not the right way to do this given that clients run in parallel on the same machine.

            Thanks to anyone can help me on that.

            ...

            ANSWER

            Answered 2021-Jun-15 at 12:01

            There are multiple potential places to measure execution time, first might be defining very specifically what is the intended measurement.

            1. Measuring the training time of each client as proposed is a great way to get a sense of the variability among clients. This could help identify whether rounds frequently have stragglers. Using tf.timestamp() at the beginning and end of the client_update function seems reasonable. The question correctly notes that this happens in parallel, summing all of these times would be akin to CPU time.

            2. Measuring the time it takes to complete all client training in a round would generally be the maximum of the values above. This might not be true when simulating FL in TFF, as TFF maybe decided to run some number of clients sequentially due to system resources constraints. In practice all of these clients would run in parallel.

            3. Measuring the time it takes to complete a full round (the maximum time it takes to run a client, plus the time it takes for the server to update) could be done by moving the tf.timestamp calls to the outer training loop. This would be wrapping the call to trainer.next() in the snippet on https://www.tensorflow.org/federated. This would be most similar to elapsed real time (wall clock time).

            Source https://stackoverflow.com/questions/67982276

            QUESTION

            using multiple different kafka cluster within one app
            Asked 2021-Jun-15 at 13:28

            This probably ins't typical setup, but due to higher decisions we endup having multiple kafka clusters within one app, multiple topics per each, and each might have different serializing strategy. Json/avro. And avro might be with confluent schema registry or using single object encoding.

            Well I got it working somehow, by building my own abstractions and registry which analyzes the configuration and creates most of stuff manually, but I feel I needed to repeat stuff like topic names, schema registry url on several places multiple times just to create all needed beans. Ugly as hell.

            I'd like to ask, if there is some better way and support for this I just might have overlooked.

            I need to create N representations of kafka clusters, configuring it once. Configure topics respective to given kafka cluster, configure confluent schema registry for topics where applicable etc, so that I can create instance of Avro schema file, send it to KafkaTemplate and it will work.

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:28

            It depends on the complexity and how much different the configurations are, as to whether this will help, but you can override individual Kafka properties (such as bootstrap servers, deserializers, etc on the @KafkaListener and in each KafkaTemplate.

            e.g.

            Source https://stackoverflow.com/questions/67959209

            QUESTION

            VBA Macro is ignoring nextBlankRow and duplicates
            Asked 2021-Jun-15 at 13:16

            What I want the Macro to accomplish:

            I want the user to be able to fill in data from E2 to E9 on the spreadsheet. When the user presses the "Add Car" button the macro is supposed to be executed. The makro then should take the handwritten data, copy everything from E2:E9 and put it into a table that starts at with C13 and spans over 7 columns, always putting the new set of data in the next free row. It is also supposed to check for duplicates and give an alert while not overwriting the original set of data

            So my problem is, that I want the Macro I'm writing to take the information put into certain cells and then copy them into a table underneath.

            I'm starting the Macro like this

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:16

            Please, test the next code:

            Source https://stackoverflow.com/questions/67981945

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

            Vulnerabilities

            No vulnerabilities reported

            Install probably

            Probably defines only two primary types: a mutable Runner for recording test results and reporting back on them, and Test definitions, whose instances are created by the Runner. Although it is possible to construct and use different Runners, the most typical usage is to use the global singleton Runner called test, because for most purposes only one Runner will be required. Defining a test is simple. For example,. Note that the assertion takes a predicate lambda, which operates on the result from evaluating the body of the test. It does not operate on the value directly. This clearly separates the process of running the test from the check which is performed upon it.
            the predicate returns true, and the test passes
            it returns false, and the test fails
            an exception is thrown while the body is being evaluated
            an exception is thrown while the assertion is being evaluated
            in the main method of an application
            in a lazy val
            inside a Future
            in a parameterized method, testing a property of that parameter
            in the request handler on a web server
            in a pattern extractor (unapply method)
            inside an actor
            in the Scala REPL
            as one branch of a case clause
            nested inside another test

            Support

            Contributors to Probably are welcome and encouraged. New contributors may like to look for issues marked . We suggest that all contributors read the Contributing Guide to make the process of contributing to Probably easier. Please do not contact project maintainers privately with questions. While it can be tempting to repsond to such questions, private answers cannot be shared with a wider audience, and it can result in duplication of effort.
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            gh repo clone propensive/probably

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