spinach | Spinach is a BDD framework on top of Gherkin | Functional Testing library

 by   codegram Ruby Version: Current License: MIT

kandi X-RAY | spinach Summary

kandi X-RAY | spinach Summary

spinach is a Ruby library typically used in Testing, Functional Testing, Cucumber applications. spinach has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Spinach is a high-level BDD framework that leverages the expressive Gherkin language (used by Cucumber) to help you define executable specifications of your application or library's acceptance criteria.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              spinach has a low active ecosystem.
              It has 564 star(s) with 66 fork(s). There are 29 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 16 open issues and 76 have been closed. On average issues are closed in 263 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of spinach is current.

            kandi-Quality Quality

              spinach has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              spinach is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              spinach releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              spinach saves you 2658 person hours of effort in developing the same functionality from scratch.
              It has 5765 lines of code, 251 functions and 93 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spinach and discovered the below as its top functions. This is intended to give you an instant insight into spinach implemented functionality, and help decide if they suit your requirements.
            • Parses options .
            • Find all feature files
            • Bind to the runner
            • Run the runner
            • Runs the audits .
            • Run the hook
            • Load the ruby ruby ruby code
            • Runs the given runner .
            • Sets up the Xspec to use .
            • Check the backtrace backtrace
            Get all kandi verified functions for this library.

            spinach Key Features

            No Key Features are available at this moment for spinach.

            spinach Examples and Code Snippets

            Seed data
            Pythondot img1Lines of Code : 141dot img1no licencesLicense : No License
            copy iconCopy
            $ mkdir seeds
            $ cd seeds/
            $ http -d https://raw.githubusercontent.com/chrstphrhrt/ramses-tutorial/master/pizza_factory/seeds/crusts.json
            $ http -d https://raw.githubusercontent.com/chrstphrhrt/ramses-tutorial/master/pizza_factory/seeds/sauces.json
            $   

            Community Discussions

            QUESTION

            Mongodb: How to pass another stage inside $group?
            Asked 2022-Mar-05 at 02:01

            Expected Output:

            ...

            ANSWER

            Answered 2022-Feb-25 at 06:03
            db.collection.aggregate([
              {
                "$set": {
                  "ingredients": {
                    "$objectToArray": "$ingredients"
                  }
                }
              },
              {
                "$unwind": "$ingredients"
              },
              {
                "$group": {
                  "_id": {
                    type: "$type",
                    ingredient: "$ingredients"
                  },
                  "count": {
                    "$sum": 1
                  },
                  "doc_count": {
                    "$addToSet": "$item"
                  }
                }
              },
              {
                "$group": {
                  "_id": {
                    type: "$_id.type",
                    ingredient: "$_id.ingredient.k"
                  },
                  "docs": {
                    "$push": {
                      k: "$_id.ingredient.v",
                      v: "$count"
                    }
                  },
                  "doc_count": {
                    "$push": "$doc_count"
                  }
                }
              },
              {
                "$group": {
                  "_id": "$_id.type",
                  "ingredients": {
                    "$push": {
                      k: "$_id.ingredient",
                      v: {
                        "$arrayToObject": "$docs"
                      }
                    }
                  },
                  "doc_count": {
                    "$push": {
                      $reduce: {
                        input: "$doc_count",
                        initialValue: [],
                        in: {
                          $concatArrays: [
                            "$$value",
                            "$$this"
                          ]
                        }
                      }
                    }
                  }
                }
              },
              {
                "$set": {
                  "ingredients": {
                    "$arrayToObject": "$ingredients"
                  },
                  doc_count: {
                    "$size": {
                      "$setUnion": {
                        $reduce: {
                          input: "$doc_count",
                          initialValue: [],
                          in: {
                            $concatArrays: [
                              "$$value",
                              "$$this"
                            ]
                          }
                        }
                      }
                    }
                  }
                }
              }
            ])
            

            Source https://stackoverflow.com/questions/71261214

            QUESTION

            How to iterate though an array in a dataframe column, and do a lookup in another dataframe - Scala, Spark
            Asked 2022-Feb-25 at 08:56

            I have a dataframe (df1), which look something like this:

            ...

            ANSWER

            Answered 2022-Feb-25 at 08:56

            I prepared your input DataFrames like this:

            Source https://stackoverflow.com/questions/71256655

            QUESTION

            Dataframe column looping and string concatenation based on conditional in R (pref dplyr)
            Asked 2022-Feb-24 at 20:55

            I have a 2-column dataframe. First column contains a single entry of a class of items (in this case, vegetables). The second column is the incoming new_item, which are grocery items of different categories (meat, fruit, veg, etc).

            ...

            ANSWER

            Answered 2022-Feb-24 at 19:43
            current <- tibble::tribble(
              ~prev_veg, ~new_item,
              "cabbage", "lettuce",
              NA, "apple",
              NA, "beef",
              NA, "spinach",
              NA, "broccoli",
              NA, "mango"
            )
            target_veg <- c("cabbage", "lettuce", "spinach", "broccoli")
            
            library(dplyr, warn.conflicts = FALSE)
            library(purrr)
            
            current %>%
              mutate(
                prev_veg = accumulate(
                  head(new_item, -1),
                  ~ if_else(.y %in% target_veg, paste(.x, .y, sep = ", "), .x),
                  .init = prev_veg[1]
                )
              )
            #> # A tibble: 6 × 2
            #>   prev_veg                            new_item
            #>                                     
            #> 1 cabbage                             lettuce 
            #> 2 cabbage, lettuce                    apple   
            #> 3 cabbage, lettuce                    beef    
            #> 4 cabbage, lettuce                    spinach 
            #> 5 cabbage, lettuce, spinach           broccoli
            #> 6 cabbage, lettuce, spinach, broccoli mango
            

            Source https://stackoverflow.com/questions/71257290

            QUESTION

            How do I iterate through a df column (where each row is a list), looking for elements in a different list?
            Asked 2022-Feb-04 at 23:13

            I would love your advice on the best code to complete the following task:

            ...

            ANSWER

            Answered 2022-Feb-04 at 23:13

            A better approach would be to use set intersection (assuming you're trying to count unique matches, i.e., you're not interested in how many times "apple" is mentioned in a review, only that it is mentioned, period).

            This should get you what you want, again, assuming you want to count unique matches and assuming your lemmatized column values are indeed lists of strings:

            Source https://stackoverflow.com/questions/70992958

            QUESTION

            How to filter records in a nested array using ramda?
            Asked 2022-Feb-03 at 11:21

            I've seen this question in several places but still can't figure this out. Using ramda, how can I filter the following object to return the records that are true for tomatoes?

            ...

            ANSWER

            Answered 2022-Feb-02 at 17:44

            What went wrong?

            You try to get the value of food_prefs out of the array. Since the array doesn't have this key - R.path (["food_prefs"]) is undefined, and then you try to filter this undefined value.

            How to solve this problem?

            Filter the array, and use R.path to get the tomatoes value.

            Source https://stackoverflow.com/questions/70957648

            QUESTION

            How to reverse check the parent in a dictionary YAML
            Asked 2022-Jan-31 at 17:03

            I have a dictionary that is the exact same structure as below.

            Where I am struggling is in Ansible code, how would I go about a user enters apple, and I identify the type is fruit?
            When a user enters spinach, Ansible identifies it as veggie?

            Basically, how do I reverse check the parent in a dictionary? EDIT: after using selectattr, how do i assign that to one variable to use in the future ? currently, i get food_groups | selectattr('names', 'contains', food) | first).type: fruit as output, how do i only get FRUIT assigned to a variable?

            ...

            ANSWER

            Answered 2022-Jan-26 at 21:01

            You can use selectattr and the contains test of Ansible for this.

            Important note: do not name your dictionary groups, as you risk a collision with the special variable of the same name. Here, I named it food_groups.

            So, the task of giving the type of food is as simple as:

            Source https://stackoverflow.com/questions/70869845

            QUESTION

            How could I get this Insertion Sort code in alphabetical order?
            Asked 2022-Jan-20 at 06:15

            I am new to coding and I put my code in order going from least amount of letters to greatest amount. Please help me understand how to put the code into alphabetical order.

            ...

            ANSWER

            Answered 2022-Jan-20 at 01:01

            you can sort the hole array at once using static method Arrays.sort(arr)

            Source https://stackoverflow.com/questions/70779559

            QUESTION

            I want to delete multipale button on click onebyone not delete it all by one click
            Asked 2022-Jan-14 at 15:13

            I manage to delete button with

          • element class li_listItem". But my aim is to on click delete itself and also
          • element with it. For now I can only delete both elements only by clicking on it. Can you help me with it?

            ...
          • ANSWER

            Answered 2022-Jan-14 at 15:13

            I used this.parentNode.remove() method to delete both the

          • element and the element inside the when the element with the deleteBtn class style is applied is clicked.

          • Source https://stackoverflow.com/questions/70710260

            QUESTION

            Reconstructing an array of arrays and turning it into an array of objects with keys as the first array and values as the rest of the array items
            Asked 2022-Jan-06 at 04:28

            The question itself is probably in need of editing but hear me out pls. I have this:

            ...

            ANSWER

            Answered 2022-Jan-06 at 03:54

            If you can use lodash: Check it out in this sandbox

            Source https://stackoverflow.com/questions/70602230

            QUESTION

            Replacing a column in a dataframe with another dataframe column using partial string match
            Asked 2021-Dec-14 at 08:48

            I have the large CSVs with following sample dataframes:

            ...

            ANSWER

            Answered 2021-Dec-13 at 21:01

            You can use fuzzy matching with thefuzz.process.extractOne, that will compute the closest match using Levenshtein Distance:

            Source https://stackoverflow.com/questions/70340795

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

            Vulnerabilities

            No vulnerabilities reported

            Install spinach

            Start by adding spinach to your Gemfile:.

            Support

            You can easily contribute to Spinach. Its codebase is simple and extensively documented.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/codegram/spinach.git

          • CLI

            gh repo clone codegram/spinach

          • sshUrl

            git@github.com:codegram/spinach.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link