rosa | project contains the rosa command line tool | Cloud library

 by   openshift Go Version: v1.2.22 License: Apache-2.0

X-RayKey FeaturesCode Snippets(1)Community Discussions(10)VulnerabilitiesInstallSupport

kandi X-RAY | rosa Summary

kandi X-RAY | rosa Summary

rosa is a Go library typically used in Cloud applications. rosa has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project contains the rosa command line tool that simplifies the use of Red Hat OpenShift Service on AWS, also known as ROSA.
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            kandi-support Support

              rosa has a low active ecosystem.
              It has 66 star(s) with 136 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 12 open issues and 75 have been closed. On average issues are closed in 132 days. There are 24 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of rosa is v1.2.22

            kandi-Quality Quality

              rosa has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              rosa 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

              rosa releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rosa and discovered the below as its top functions. This is intended to give you an instant insight into rosa implemented functionality, and help decide if they suit your requirements.
            • buildGithubIdp builds an IdentityProviderBuilder
            • buildLdapIdp builds the identity provider
            • buildOpenidIdp builds OpenID provider
            • Run the CLI command
            • buildGitlabIdp builds an identity provider
            • buildCommand builds an ocm command
            • getReplicas gets the desired replicas of the machine pool
            • buildGoogleIdp is responsible for creating an identity provider
            • createRoles creates roles
            • ParseUnknownFlags parses command - line flags .
            Get all kandi verified functions for this library.

            rosa Key Features

            No Key Features are available at this moment for rosa.

            rosa Examples and Code Snippets

            Red Hat OpenShift Service on AWS (ROSA) Command Line Tool,Build from source
            Godot img1Lines of Code : 4dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            go get -u github.com/openshift/rosa

cd $GOPATH/src/github.com/openshift/rosa

make install

sudo mv $GOPATH/bin/rosa /usr/local/bin

            Community Discussions

            Trending Discussions on rosa

            Is there an R function to help turn State abbreviations into full names? Or Vice Versa?
            group_by and slice on groups based on condition
            Get data from pandas on specifics string
            moshi: parsing a json response from okhttp3
            cannot access specific JSON response in Laravel blade view
            Update dictionary within dictionary dynamically return same character count for different parameters
            Cannot group data by a column in R
            Problem AngularJS checking if an object has a specific value
            How to find the Employee names and their supervisor names if the table doesn't have common numeric column like Employee_id or employee number in Mysql
            How to get the last non null value from the MYSQL table with the LAG

            QUESTION

            Is there an R function to help turn State abbreviations into full names? Or Vice Versa?
            Asked 2022-Apr-18 at 03:52

            I have two large-ish data frames I am trying to append...

            In df1, I have state codes, county codes, state names (Alabama, Alaska, etc.), county names, and years from 2010:2020.

            In df2, I have county names, state abbreviations (AL, AK), and data for the year 2010 (which I am trying to merge into df1. The issue lies in that without specifying the state name and simply merging df1 and df2, some of the data which I am trying to get into df1 is duplicated due to there being some counties with the same name...hence, I am trying to also join by state to prevent this, but I have state abbreviations, and state names.

            Is there any way in which I can make either the state names in df1 abbreviations, or the state names in df2 full names? Please let me know! Thank you for the help.

            Edit: dput(df2)

            ...

            ANSWER

            Answered 2022-Apr-18 at 03:52

            Here's one way you could turn state abbreviations into state names using R's built in state vectors:

            Source https://stackoverflow.com/questions/71907258

            QUESTION

            group_by and slice on groups based on condition
            Asked 2022-Apr-17 at 15:16

            I have a data frame which looks like:

            ...

            ANSWER

            Answered 2022-Apr-17 at 15:11

            Not the most elegant solution but this will work.

            Basically we use the grouped data to add a row number then ungroup and filter out any row numbers that equal 1

            Source https://stackoverflow.com/questions/71902586

            QUESTION

            Get data from pandas on specifics string
            Asked 2022-Apr-16 at 02:48

            So here is my code.

            ...

            ANSWER

            Answered 2022-Apr-16 at 02:48
            import pandas as pd

data = pd.read_csv('cast.csv')
data_2 = data[data['type'] == 'actor']
output = data_2[data['name'].str.startswith('Aaron')]
print(output)

            Source https://stackoverflow.com/questions/71890633

            QUESTION

            moshi: parsing a json response from okhttp3
            Asked 2022-Mar-31 at 08:46
            {
  "query": {
    "project": "all",
    "images": [
      "dc5f659df9a4bcf90fc109830564d821"
    ],
    "organs": [
      "leaf"
    ],
    "includeRelatedImages": true
  },
  "language": "en",
  "preferedReferential": "the-plant-list",
  "bestMatch": "Hibiscus rosa-sinensis L.",
  "results": [
    {
      "score": 0.92912,
      "species": {
        "scientificNameWithoutAuthor": "Hibiscus rosa-sinensis",
        "scientificNameAuthorship": "L.",
        "genus": {
          "scientificNameWithoutAuthor": "Hibiscus",
          "scientificNameAuthorship": "",
          "scientificName": "Hibiscus"
        },
        "family": {
          "scientificNameWithoutAuthor": "Malvaceae",
          "scientificNameAuthorship": "",
          "scientificName": "Malvaceae"
        },
        "commonNames": [
          "Hawaiian hibiscus",
          "Hibiscus",
          "Chinese hibiscus"
        ],
        "scientificName": "Hibiscus rosa-sinensis L."
      },
      "images": [
        {
          "organ": "leaf",
          "author": "Tela Botanica − Antoine AFFOUARD",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1413870558000,
            "string": "October 21, 2014"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/1d562e3be39e3297e6bdcff60d5f7d3fabe04eef",
            "m": "https://bs.plantnet.org/image/m/1d562e3be39e3297e6bdcff60d5f7d3fabe04eef",
            "s": "https://bs.plantnet.org/image/s/1d562e3be39e3297e6bdcff60d5f7d3fabe04eef"
          },
          "citation": "Tela Botanica − Antoine AFFOUARD / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "Antonio Sánchez Morales",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1548682043000,
            "string": "January 28, 2019"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/3abd84f086c90ed70306d950532f4e165f681bfe",
            "m": "https://bs.plantnet.org/image/m/3abd84f086c90ed70306d950532f4e165f681bfe",
            "s": "https://bs.plantnet.org/image/s/3abd84f086c90ed70306d950532f4e165f681bfe"
          },
          "citation": "Antonio Sánchez Morales / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "femenia mayra",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1601041463219,
            "string": "September 25, 2020"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/caa5ddc33d4b0b482b8c9f8ff8e0ba850d9af07f",
            "m": "https://bs.plantnet.org/image/m/caa5ddc33d4b0b482b8c9f8ff8e0ba850d9af07f",
            "s": "https://bs.plantnet.org/image/s/caa5ddc33d4b0b482b8c9f8ff8e0ba850d9af07f"
          },
          "citation": "femenia mayra / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "Antonio Sánchez Morales",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1544800115000,
            "string": "December 14, 2018"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/8e2c190839ebbb1bb6ab7dd26cc413bb001080f4",
            "m": "https://bs.plantnet.org/image/m/8e2c190839ebbb1bb6ab7dd26cc413bb001080f4",
            "s": "https://bs.plantnet.org/image/s/8e2c190839ebbb1bb6ab7dd26cc413bb001080f4"
          },
          "citation": "Antonio Sánchez Morales / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "ire110",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1599948160933,
            "string": "September 12, 2020"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/394caf62b3ce20c47f005d425488806f138a8493",
            "m": "https://bs.plantnet.org/image/m/394caf62b3ce20c47f005d425488806f138a8493",
            "s": "https://bs.plantnet.org/image/s/394caf62b3ce20c47f005d425488806f138a8493"
          },
          "citation": "ire110 / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "Andreas Vogelsinger",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1579618800636,
            "string": "January 21, 2020"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/cc9f39d17007bb5fd36b890cf0043a0a683352be",
            "m": "https://bs.plantnet.org/image/m/cc9f39d17007bb5fd36b890cf0043a0a683352be",
            "s": "https://bs.plantnet.org/image/s/cc9f39d17007bb5fd36b890cf0043a0a683352be"
          },
          "citation": "Andreas Vogelsinger / Pl@ntNet, cc-by-sa"
        }
      ],
      "gbif": {
        "id": "3152559"
      }
    },
    {
      "score": 0.03652,
      "species": {
        "scientificNameWithoutAuthor": "Hibiscus schizopetalus",
        "scientificNameAuthorship": "(Dyer) Hook.f.",
        "genus": {
          "scientificNameWithoutAuthor": "Hibiscus",
          "scientificNameAuthorship": "",
          "scientificName": "Hibiscus"
        },
        "family": {
          "scientificNameWithoutAuthor": "Malvaceae",
          "scientificNameAuthorship": "",
          "scientificName": "Malvaceae"
        },
        "commonNames": [
          "Campanilla",
          "Chinese lantern",
          "Japanese hibiscus"
        ],
        "scientificName": "Hibiscus schizopetalus (Dyer) Hook.f."
      },
      "images": [
        {
          "organ": "leaf",
          "author": "nanni pri",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1619808048797,
            "string": "April 30, 2021"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/4ca16c7045b6b2e56cbbc0f4afed08ddc3f556f7",
            "m": "https://bs.plantnet.org/image/m/4ca16c7045b6b2e56cbbc0f4afed08ddc3f556f7",
            "s": "https://bs.plantnet.org/image/s/4ca16c7045b6b2e56cbbc0f4afed08ddc3f556f7"
          },
          "citation": "nanni pri / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "sharlaine bustamants",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1591247217009,
            "string": "June 4, 2020"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/c4722a732fef3bfd1eab6d6d80b500bb036e5215",
            "m": "https://bs.plantnet.org/image/m/c4722a732fef3bfd1eab6d6d80b500bb036e5215",
            "s": "https://bs.plantnet.org/image/s/c4722a732fef3bfd1eab6d6d80b500bb036e5215"
          },
          "citation": "sharlaine bustamants / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "Hugo SANTACREU",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1531233524000,
            "string": "July 10, 2018"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/3ddba92c55e30e0cb70b10feb1cd021190dfec76",
            "m": "https://bs.plantnet.org/image/m/3ddba92c55e30e0cb70b10feb1cd021190dfec76",
            "s": "https://bs.plantnet.org/image/s/3ddba92c55e30e0cb70b10feb1cd021190dfec76"
          },
          "citation": "Hugo SANTACREU / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "Pierre Bonnet",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1534366939000,
            "string": "August 15, 2018"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/f68ad5f10d76837924537d560cbb62b6cb4003c5",
            "m": "https://bs.plantnet.org/image/m/f68ad5f10d76837924537d560cbb62b6cb4003c5",
            "s": "https://bs.plantnet.org/image/s/f68ad5f10d76837924537d560cbb62b6cb4003c5"
          },
          "citation": "Pierre Bonnet / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "Tobias Jacobsen",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1571130043838,
            "string": "October 15, 2019"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/44da8a021cfe8dcc1004a2998ff13982cce545f3",
            "m": "https://bs.plantnet.org/image/m/44da8a021cfe8dcc1004a2998ff13982cce545f3",
            "s": "https://bs.plantnet.org/image/s/44da8a021cfe8dcc1004a2998ff13982cce545f3"
          },
          "citation": "Tobias Jacobsen / Pl@ntNet, cc-by-sa"
        },
        {
          "organ": "leaf",
          "author": "abderrahim Lamari",
          "license": "cc-by-sa",
          "date": {
            "timestamp": 1619785453625,
            "string": "April 30, 2021"
          },
          "url": {
            "o": "https://bs.plantnet.org/image/o/e669d09a54681d3d56fabfb588d3ecb50b523490",
            "m": "https://bs.plantnet.org/image/m/e669d09a54681d3d56fabfb588d3ecb50b523490",
            "s": "https://bs.plantnet.org/image/s/e669d09a54681d3d56fabfb588d3ecb50b523490"
          },
          "citation": "abderrahim Lamari / Pl@ntNet, cc-by-sa"
        }
      ],
      "gbif": {
        "id": "9064581"
      }
    }
  ],
  "version": "2022-02-14 (5.0)",
  "remainingIdentificationRequests": 491
}
            ...

            ANSWER

            Answered 2022-Mar-31 at 08:46

            Here I am sharing "Deserialize your JSON string into Java objects in four different ways". There are a lot of other java JSON libraries.

            1. Using Moshi

            2. Using Jackson

            3. Using Gson

            4. Using Genson

            "Remember - The POJOs in java are useful in defining objects to increase their readability and reusability."

            We'll use the following Root class with multiple fields as the object to deserialize throughout.

            Root.java

            Source https://stackoverflow.com/questions/71686565

            QUESTION

            cannot access specific JSON response in Laravel blade view
            Asked 2022-Mar-19 at 04:12

            I have this JSON response that I get by using GuzzleHttp, this is my controller

            ...

            ANSWER

            Answered 2022-Mar-19 at 04:12

            you have returned $news; before returning view.Also you are accessing object but returned array.Here is the complete code

            Source https://stackoverflow.com/questions/71534724

            QUESTION

            Update dictionary within dictionary dynamically return same character count for different parameters
            Asked 2022-Mar-15 at 14:14

            I'm trying to retrieve wikipedia pages' characters count, for articles in different languages. I'm using a dictionary with as key the name of the page and as value a dictionary with the language as key and the count as value.

            The code is:

            ...

            ANSWER

            Answered 2022-Mar-15 at 14:14

            Please try this code. I didn't run it because I don't have the wikipedia module.

            Notes:

            1. Since your expected result is dict[page,dict[lan,cnt]], I think first iterate pages is more natural, then iterate languages. Maybe for performance reason you want first iterate languages, please comment.
            2. Characters count of text can simply be len(text), why iterate and sum again?
            3. Variable names. You will soon be lost in x y like variables.

            Source https://stackoverflow.com/questions/71481995

            QUESTION

            Cannot group data by a column in R
            Asked 2022-Feb-13 at 17:53

            I want to get a count of how many times each Player's name appears in my data frame ph1. My code is showing how many times each name is in the dataset, but I cannot group it by nso I can see how many times each Player's name is in the dataset.

            I would prefer a dplyr solution but am open to others.

            For example:

            ...

            ANSWER

            Answered 2022-Feb-13 at 17:12
            ph %>% 
  filter(!is.na(Player)) %>%
  group_by(Player) %>% count() %>%
  group_by(n) %>%
  count(name="Number_Players") 

# A tibble: 2 x 2
# Groups:   n [2]
      n Number_Players
            
1     1             21
2     2              2

            Source https://stackoverflow.com/questions/71102978

            QUESTION

            Problem AngularJS checking if an object has a specific value
            Asked 2021-Nov-29 at 15:15

            I'm trying to avoid duplicates and not be allowed to add empty items. If I send the same titolo (example, Harry Potter) again, I don't want it to be added to the $scope.libri for the second time. How can I check it before adding? This is my code now:

            angular .module('myApp', []) .controller('myCtr', function ($scope){

            ...

            ANSWER

            Answered 2021-Nov-29 at 15:15

            Just use $scope.libri.find(x => x.titolo === $scope.titolo) in your add function before pushing to the array.

            .find() from MDN

            Source https://stackoverflow.com/questions/70152051

            QUESTION

            How to find the Employee names and their supervisor names if the table doesn't have common numeric column like Employee_id or employee number in Mysql
            Asked 2021-Nov-19 at 02:23

            If the table have only two columns with employee name and their supervisor column and if it doesn't have any other numeric or number column with employee_number or employee_id, then how the results can be produced. I'm not getting logic to show the results.

            Code for creating table in Mysql:

            ...

            ANSWER

            Answered 2021-Nov-19 at 02:23

            For this particular set of data, it can LEFT JOIN the table itself to get the expected results

            Source https://stackoverflow.com/questions/70028915

            QUESTION

            How to get the last non null value from the MYSQL table with the LAG
            Asked 2021-Oct-27 at 10:28

            I'm tying a LAG function to retrieve the last non null value from the table to replace the null values in a row. The code I'm using:

            ...

            ANSWER

            Answered 2021-Oct-27 at 10:28

            I don't see any test data to play with, so here is an simple example

            Source https://stackoverflow.com/questions/69723951

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

            Vulnerabilities

            No vulnerabilities reported

            Install rosa

            Refer to the official ROSA documentation: https://access.redhat.com/products/red-hat-openshift-service-aws.
            Follow the AWS Command Line Interface documentation to install and configure the AWS CLI for your operating system.
            Download the latest release of rosa and add it to your path.
            Initialize your AWS account by running rosa init and following the instructions.
            Create your first ROSA cluster by running rosa create cluster --interactive
            If you'd like to build this project from source use the following steps:.
            Checkout the repostiory into your $GOPATH
            cd to the checkout out source directory
            Install the binary (This will install to $GOPATH/bin)

            Support

            We want to hear it. Open an issue against the repo and someone from the team will be in touch.
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/openshift/rosa.git

          • CLI

            gh repo clone openshift/rosa

          • sshUrl

            git@github.com:openshift/rosa.git

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