data-drive | A wrapper to talk with google spreadsheets like an db | Database library

In my setup using QAF Gerkin, I have an 80+ data column in the test data file which is very difficult to pass all the columns in steps using "". I would like to retrieve all the column data directly in my StepDef according to data-driven iteration. I have tried using getBundle().getString("column_name"), but it is not working.

Eg: Feature File:

I am learning R package SimInf to simulate data-driven stochastic epidemiological models. As I was reading the documentation I came across an unrecognized funcion Nn when defining a function for epicurves. Specifically, this line:

I have CSV files that are placed in various folders on a blob storage container. These files will map to a table in a database, and we will use ADF to copy the data to the database.

The aim is to have the pipeline metadata-driven. We have a file that contains JSON with details of each source file and sink table.

I need to scrape job postings from Indeed. I managed to scrape the titles and links for each job post, and now am struggling to scrape the full job descriptions of each job posting (I don't want the summary - I want each job post's full job description).

My code looks like this:

Getting "cannot read "forEach' undefined. I have implemented as you said. but still, I am getting errors. Pls give a solution for this

//data-driven script in a separate class

I have set of Test scenarios (say 10) which I would like to execute against different countries (say 3).

1. for loop is not preferred as execution time per scenario will be longer and each scenario Pass/Fail will have to be managed.
2. Create Keyword for each Test Scenario and call them per country.
   • this leads to 3 different robot file one per country with 10 Testcases for each scenario
   • Any new add/remove scenarios, will have to update 3 files
3. robot data driver template-based approach appears to support one Test scenario per robot file. Uses data file and dynamically execute one data entry as one testcase
   • This leads 10 robot file one per Test Scenario
   • Any new Test Scenario will be new robot file
   • Any way to include more Test scenario in robot data-driven approach
4. Any other approach you would suggest for iterative execution of scenario against data set where each iteration results are captured separately.

This a question is for someone that knows how mapbox-gl-js works internally.

Use case: we want to display 2 polygons with 2 different colors depending on the property region.

Currently, using mapbox-gl-js, you have 2 way of defining a style depending on data:

1. Using filter:

I'm new to Mapbox GL JS and struggling with data-driven styling. I'd like to scale my circle features proportionally based on a value in my data source (a Google Sheet). Here's a code snippet:

I'm learning Java design patterns by "Patterns in Java", volume 1 by Mark Grand (Factory Method specifically). My point is to highlight difference between closest patterns for myself. There are good answers that clarify the difference between Factory Method and Abstract Factory (Design Patterns: Factory vs Factory method vs Abstract Factory, What is the basic difference between the Factory and Abstract Factory Design Patterns?). But I noticed that most of authors mean some other interpretation of Factory Method compared to one I have read in "Patterns in Java". The interpretation from the answers is closer to Factory Method from GoF book.

GoF interpretation:

Grand's interpretation:

To be specific I will describe what in my opinion is a key difference between Grand's and GoF interpretations. The source of polymorphism in GoF interpretation is inheritance: different implementations of Creator create different types of Products. The source of polymorphism in Mark Grand interpretations apparently is "data-driven class determination" (example from book):