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radix-tree | Java implementation of the radix tree data | Natural Language Processing library

 by   thegedge Java Version: Current License: MIT

 by   thegedge Java Version: Current License: MIT

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kandi X-RAY | radix-tree Summary

radix-tree is a Java library typically used in Artificial Intelligence, Natural Language Processing applications. radix-tree has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.
An implementation of the Radix Tree data structure in Java. A radix tree maps strings to values, allowing efficient string lookup and prefix queries. This implementation mostly implements the java.util.Map interface, minus the following:.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • radix-tree has a highly active ecosystem.
  • It has 25 star(s) with 8 fork(s). There are 2 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 1 have been closed. On average issues are closed in 268 days. There are no pull requests.
  • It has a positive sentiment in the developer community.
  • The latest version of radix-tree is current.
radix-tree Support
Best in #Natural Language Processing
Average in #Natural Language Processing
radix-tree Support
Best in #Natural Language Processing
Average in #Natural Language Processing

quality kandi Quality

  • radix-tree has 0 bugs and 0 code smells.
radix-tree Quality
Best in #Natural Language Processing
Average in #Natural Language Processing
radix-tree Quality
Best in #Natural Language Processing
Average in #Natural Language Processing

securitySecurity

  • radix-tree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • radix-tree code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
radix-tree Security
Best in #Natural Language Processing
Average in #Natural Language Processing
radix-tree Security
Best in #Natural Language Processing
Average in #Natural Language Processing

license License

  • radix-tree is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
radix-tree License
Best in #Natural Language Processing
Average in #Natural Language Processing
radix-tree License
Best in #Natural Language Processing
Average in #Natural Language Processing

buildReuse

  • radix-tree releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • It has 696 lines of code, 51 functions and 6 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
radix-tree Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
radix-tree Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
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radix-tree Key Features

keySet, values, and entrySet methods currently return new sets rather than views.

How to extract data from Interface

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type Group struct {
    Name            string `redis:"name"`
    Consumers       int    `redis:"consumers"`
    Pending         int    `redis:"pending"`
    LastDeliveredID string `redis:"last-delivered-id"`
}

func scanGroups(resp interface{}, err error) ([]*Group, error) {
    // Get slice from resp
    groups, err := redis.Values(resp, err)
    if err != nil {
        return nil, err
    }

    var result []*Group

    // For each group
    for _, g := range groups {

        // Get slice for group
        v, err := redis.Values(g, nil)
        if err != nil {
            return nil, err
        }

        // Scan slice to struct
        var group Group
        err = redis.ScanStruct(v, &group)
        if err != nil {
            return nil, err
        }

        // Accumlate result
        result = append(result, &group)
    }
    return result, nil
}
 groups, err := scanGroups(conn.Do("XINFO", "GROUPS", "mystream"))
-----------------------
type Group struct {
    Name            string `redis:"name"`
    Consumers       int    `redis:"consumers"`
    Pending         int    `redis:"pending"`
    LastDeliveredID string `redis:"last-delivered-id"`
}

func scanGroups(resp interface{}, err error) ([]*Group, error) {
    // Get slice from resp
    groups, err := redis.Values(resp, err)
    if err != nil {
        return nil, err
    }

    var result []*Group

    // For each group
    for _, g := range groups {

        // Get slice for group
        v, err := redis.Values(g, nil)
        if err != nil {
            return nil, err
        }

        // Scan slice to struct
        var group Group
        err = redis.ScanStruct(v, &group)
        if err != nil {
            return nil, err
        }

        // Accumlate result
        result = append(result, &group)
    }
    return result, nil
}
 groups, err := scanGroups(conn.Do("XINFO", "GROUPS", "mystream"))

Community Discussions

Trending Discussions on radix-tree
  • How to extract data from Interface
Trending Discussions on radix-tree

QUESTION

How to extract data from Interface

Asked 2020-Feb-26 at 21:57

I am using Redigo to retrieve metrics from Redis. While the package has some built in helpers to parse the data in responses of certain formats, I have a format that I need to parse, which isn't covered.

The result of the command is type Interface and contains an array of indeterminate length, within each is a set of data. If I print the result out as a string, I get (line breaks added for readability)...

[
      [name cgroup1 consumers %!s(int64=2) pending %!s(int64=90) last-delivered-id 1582572156729-0] 
      [name cgroup2 consumers %!s(int64=2) pending %!s(int64=110) last-delivered-id 1582572156729-0]
]

How would I go about iterating through such a response in Go and accessing the data. I have found a lot of examples dealing with JSON and unmarshaling, but have found nothing similar to the above.

The redis command used was...

xinfo groups <stream name>

The data in Redis, looks like this...

1) 1) "name"
   2) "cgroup1"
   3) "consumers"
   4) (integer) 2
   5) "pending"
   6) (integer) 90
   7) "last-delivered-id"
   8) "1582572156729-0"
2) 1) "name"
   2) "cgroup2"
   3) "consumers"
   4) (integer) 2
   5) "pending"
   6) (integer) 110
   7) "last-delivered-id"
   8) "1582572156729-0"

If I print out the type it shows...

[]interface {}

The other question is how to extract information nested deeper.

For example

XINFO STREAM <stream name>

I am able to use ScanStruct to get everything from the first level, but can't seem to get the info under first-entry.

My Info struct

type Stream struct {
    Length int    `redis:"length"`
    Groups int    `redis:"groups"`
    LastID string `redis:"last-generated-id"`
}

If I try to add first-entry from below, I am unsure what type to use or how to get value 12[1] (1582572131616-0)

Sample Redis Output

127.0.0.1:6379> xinfo stream stream1
 1) "length"
 2) (integer) 1200
 3) "radix-tree-keys"
 4) (integer) 12
 5) "radix-tree-nodes"
 6) (integer) 30
 7) "groups"
 8) (integer) 2
 9) "last-generated-id"
10) "1582642828055-10"
11) "first-entry"
12) 1) "1582572131616-0"
    2) 1) "payload"
       2) "message:0"
13) "last-entry"
14) 1) "1582642828055-10"
    2) 1) "payload"
       2) "message:99"

ANSWER

Answered 2020-Feb-26 at 19:56

Use redis.Values to convert interface{} to slices. Use redis.ScanStruct to set struct fields from a slice of name-value pairs.

type Group struct {
    Name            string `redis:"name"`
    Consumers       int    `redis:"consumers"`
    Pending         int    `redis:"pending"`
    LastDeliveredID string `redis:"last-delivered-id"`
}

func scanGroups(resp interface{}, err error) ([]*Group, error) {
    // Get slice from resp
    groups, err := redis.Values(resp, err)
    if err != nil {
        return nil, err
    }

    var result []*Group

    // For each group
    for _, g := range groups {

        // Get slice for group
        v, err := redis.Values(g, nil)
        if err != nil {
            return nil, err
        }

        // Scan slice to struct
        var group Group
        err = redis.ScanStruct(v, &group)
        if err != nil {
            return nil, err
        }

        // Accumlate result
        result = append(result, &group)
    }
    return result, nil
}

Use it like this:

 groups, err := scanGroups(conn.Do("XINFO", "GROUPS", "mystream"))

Source https://stackoverflow.com/questions/60419578

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

Vulnerabilities

No vulnerabilities reported

Install radix-tree

You can download it from GitHub.
You can use radix-tree 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 radix-tree 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 .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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