Larissa | Larissa LRS is a free-to-use LRS implementation in progress | Runtime Evironment library
kandi X-RAY | Larissa Summary
kandi X-RAY | Larissa Summary
Larissa LRS is a free-to-use LRS implementation in progress. Its aim is to provide a free-to-use locally deployable LRS that scales well beyond the ADL Reference Implementation. The target specification is at
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Top functions reviewed by kandi - BETA
- Store statements
- Creates an agent object representing the authority of the user
- Validates and store statements
- Validates the given statement
- Executes the query using the given filter
- Returns view query
- Converts a QueryFilter to a more efficient URL
- Returns all statements that match the given filter
- Returns the last indexed statement document
- Parses the given JSON string as a Statement object
- Do index
- Store a statement
- Checks if the given string is a valid language tag
- Validates if the map is valid
- Returns the end key
- Filter out requests
- Creates the design document
- Validates if IRI is valid
- Adds the headers to the response
- Returns a response as a JSON response
- Returns information about this application
- Registers an objectMapper to the given ObjectMapper configuration
- Configures the base mapper for the given object mapper
- Region LRS Implementation
- Create a StatementFilter from the given more URL
- Gets the welcome page
Larissa Key Features
Larissa Examples and Code Snippets
Community Discussions
Trending Discussions on Larissa
QUESTION
I have three variables in my dataset (name, age_group, parents_total). parents_total
was measured two times. Now, I would like to usepivot_wider
to keep the name
and age_group
but "compute" a new variable with the t2 result of the parents_total
.
In this example, age_group
may change. If possible, I would like to compute this "t2" variable if age_group
remained the same.
Related topic: pivot_wider issue "Values in `values_from` are not uniquely identified; output will contain list-cols"
Data and codes
...ANSWER
Answered 2021-Dec-22 at 20:33library(dplyr)
dat %>%
group_by(name, age_group) %>%
mutate(tn = paste0("parents_total_t", row_number())) %>%
pivot_wider(c(name, age_group), names_from = tn, values_from = parents_total) %>%
ungroup()
# # A tibble: 58 x 4
# name age_group parents_total_t1 parents_total_t2
#
# 1 "Arthur Henry Ra" (6,8] 177 NA
# 2 "Laura Fernanda " (12,14] 178 NA
# 3 "Gabriel Mistro" (12,14] 91 96
# 4 "Gabriel Augusto" (10,12] 128 112
# 5 "Felipe Antonio " [5,6] 138 NA
# 6 "Ana Beatriz de " (8,10] 146 NA
# 7 "Laura Fernanda " (10,12] 185 NA
# 8 "Pedro Henrique " (12,14] 177 NA
# 9 "Felipe de Melo " (6,8] 97 NA
# 10 "Gabriel Augusto" (8,10] 79 125
# # ... with 48 more rows
QUESTION
Code:
...ANSWER
Answered 2021-Apr-23 at 05:32The map collected by groupingBy
is not guaranteed to be a sorted map. It could be, for example a HashMap
, which by its very nature has no order in its key value pairs.
You can specify the type of map you want groupingBy
to collect into:
QUESTION
Well I'm having problems with aggragate of the mongo, I need to validate if in all the answers it doesn't have a field marked as deletedAt. My aggragate looks like this:
...ANSWER
Answered 2020-Aug-01 at 15:36Key references in $match
stage shouldn't begin with $
sign.
Remove $
sign from the $match
stage.
Also, the deletedAt
key for last two conditions should not be in separate parenthesis.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Larissa
You can use Larissa 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 Larissa 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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