parboiled | Elegant parsing in Java and Scala - lightweight | JSON Processing library
kandi X-RAY | parboiled Summary
kandi X-RAY | parboiled Summary
Elegant parsing in Java and Scala - lightweight, easy-to-use, powerful.
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Top functions reviewed by kandi - BETA
- Decodes a base64 encoded byte array
- Decodes a base64 encoded char array
- Decodes a base64 encoded string
- Processes instructions for a method
- Returns the label text for the given method
- Formats an invalid input error
- Get the expected string for the given InvalidInputError
- Gets the actual type arguments
- Returns the underlying class for the given type
- Overrides the superclass implementation
- Matches the node
- Process a single method
- Attempts to load a trusted lookup instance
- Matches the context
- Processes the stack
- Determines whether this context matches the given context
- Collects the input text from the input buffer
- Visits an annotation on the parser class
- Processes a single return instruction
- Visits a method
- Override this method
- Runs the actual parsing
- Add non null elements to the array
- Process the instructions of a rule
- Verify that the strings are not null
- Processes the class
parboiled Key Features
parboiled Examples and Code Snippets
Community Discussions
Trending Discussions on parboiled
QUESTION
I have this gradle configuration with the following dependencies:
...ANSWER
Answered 2022-Mar-13 at 15:12I think you question has been already answered; please, consider review this SO question.
You need to include the following dependency:
QUESTION
I have a Stata dataset which has six variables with consumed food ingredient codes and their weight in grams. I have another distinct dataset which has food ingredient codes and consecutive calorie per 100 g. I need to replace codes with calorie to calculate total calorie consumption.
How can I do that? (by replacing or generating new variable)
My first (master) dataset is
...ANSWER
Answered 2021-Aug-02 at 17:57I agree with the comment Nick made about it is better to first make this data long. Read why that is a much better practice here: https://worldbank.github.io/dime-data-handbook/processing.html#making-data-tidy
However, it can be done in the current un-tidy wide format if you for some reason must keep your data like that. The code below shows how that can be done.
QUESTION
I try to lemmatize the column "tokenized" in a dataframe. One cell of the column "tokenized" looks as follows " yeah simply zurich generic serving think media bland prepared curry kind paying well loves used parboiled oily place elaborate non tasteful stay underspiced institution vegetarian indian clueless away hiltl anyone served support veg long like normal strong worth insult not rice kitchen know wont food cuisine fantastic fan time term patrons ".
When I run my code it returns something like this: ",,e,n,d,e,d,,,p,a,y,i" which is not what i want. How can I lemmatize full words?
This is my code:
...ANSWER
Answered 2021-Jun-26 at 07:48The problem is that your "tokenized" column doesn't look ready to apply the lemmatization step, as it contains a string, not a list of tokens. In other words, instead of having
QUESTION
I am trying to run a jenkins pipeline job , it was working fine , today it started throwing this error .
...ANSWER
Answered 2021-Mar-25 at 11:47I have fixed the error by downgrading the jenkins deb package to 2.263.4.
QUESTION
After upgrading Jenkins to v2.212, and installing many plugin updates available, some Jobs start failing with the following error:
...ANSWER
Answered 2020-Jan-06 at 21:33The changelog at https://jenkins.io/changelog/ has added a warning for 2.212 (2020-01-05):
WARNING: This release introduces a critical regression, see JENKINS-60644. Please avoid updating to this version.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install parboiled
You can use parboiled 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 parboiled 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 maven.apache.org. For Gradle installation, please refer gradle.org .
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