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metrics-guice | Metrics Guice Support | Analytics library

 by   palominolabs Java Version: Current License: Non-SPDX

 by   palominolabs Java Version: Current License: Non-SPDX

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kandi X-RAY | metrics-guice Summary

metrics-guice is a Java library typically used in Analytics applications. metrics-guice has no bugs, it has no vulnerabilities and it has low support. However metrics-guice build file is not available and it has a Non-SPDX License. You can download it from GitHub, Maven.
Metrics Guice Support
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Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • metrics-guice has a low active ecosystem.
  • It has 87 star(s) with 31 fork(s). There are 4 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 19 have been closed. On average issues are closed in 22 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of metrics-guice is current.
metrics-guice Support
Best in #Analytics
Average in #Analytics
metrics-guice Support
Best in #Analytics
Average in #Analytics

quality kandi Quality

  • metrics-guice has 0 bugs and 0 code smells.
metrics-guice Quality
Best in #Analytics
Average in #Analytics
metrics-guice Quality
Best in #Analytics
Average in #Analytics

securitySecurity

  • metrics-guice has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • metrics-guice code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
metrics-guice Security
Best in #Analytics
Average in #Analytics
metrics-guice Security
Best in #Analytics
Average in #Analytics

license License

  • metrics-guice has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
metrics-guice License
Best in #Analytics
Average in #Analytics
metrics-guice License
Best in #Analytics
Average in #Analytics

buildReuse

  • metrics-guice releases are not available. You will need to build from source code and install.
  • Deployable package is available in Maven.
  • metrics-guice has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • metrics-guice saves you 711 person hours of effort in developing the same functionality from scratch.
  • It has 1644 lines of code, 147 functions and 42 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
metrics-guice Reuse
Best in #Analytics
Average in #Analytics
metrics-guice Reuse
Best in #Analytics
Average in #Analytics
Top functions reviewed by kandi - BETA

kandi has reviewed metrics-guice and discovered the below as its top functions. This is intended to give you an instant insight into metrics-guice implemented functionality, and help decide if they suit your requirements.

  • Represents a single gauge .
    • Gets the metric name for a counted method .
      • Gets the metric name for an exception .
        • Returns the metric name for the given gauge class .
          • Finds an annotation for the given annotation class and method .
            • Invokes the method .
              • Returns an interceptor for the given method .
                • Invokes the method .
                  • Configure the metrics .
                    • Returns a new builder .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      metrics-guice Key Features

                      Metrics Guice Support

                      Get the artifacts

                      copy iconCopydownload iconDownload
                      <dependency>
                        <groupId>com.palominolabs.metrics</groupId>
                        <artifactId>metrics-guice</artifactId>
                        <version>[the latest version]</version>
                      </dependency>
                      

                      Install the Guice module

                      copy iconCopydownload iconDownload
                      // somewhere in your Guice module setup
                      install(MetricsInstrumentationModule.builder().withMetricRegistry(yourFavoriteMetricRegistry).build());
                      

                      Customizing annotation lookup

                      copy iconCopydownload iconDownload
                      // somewhere in your Guice module setup
                      install(
                          MetricsInstrumentationModule.builder()
                              .withMetricRegistry(yourFavoriteMetricRegistry)
                              .withAnnotationResolver(new ListAnnotationResolver(Lists.newArrayList(new ClassAnnotationResolver(), new MethodAnnotationResolver()))
                              .build()
                      );
                      

                      Metric namer

                      copy iconCopydownload iconDownload
                      class SuperCriticalFunctionality {
                          public void doSomethingImportant() {
                              // critical business logic
                          }
                      }
                      

                      Community Discussions

                      Trending Discussions on Analytics
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                      • Dropping multiples rows based on list of column values
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                      Trending Discussions on Analytics

                      QUESTION

                      Lottery analysis for learning

                      Asked 2022-Mar-31 at 15:00

                      I'm trying to learn how to use the pandas library.

                      For the data source, I use the lottery combinations draws so far.

                      One of many tasks I'm trying to solve is to count the frequency of pairs of numbers in combinations.

                      I create a data frame from the list like this:

                      list = [
                          [13, 14, 28, 30, 31, 37, 39],
                          [7, 10, 12, 16, 21, 22, 33],
                          ...,
                          [1, 2, 7, 15, 25, 31, 33],
                          [3, 6, 18, 21, 31, 34, 39]
                      ]
                      
                      df = pd.DataFrame(list)
                      print(df.head())
                      

                      Output:

                      .   0   1   2   3   4   5   6
                      0   9  11  12  18  20  26  35
                      1  10  13  15  20  21  25  35
                      2   1   8  17  21  22  27  34
                      3  10  13  17  18  21  29  37
                      4   5   8  12  17  19  21  37
                      

                      For example, as a result I want to get the sum of how much time tuples of two or three numbers appear together in combinations:

                      Pair  : Found n time in all combinations
                      9,23  : 33
                      11,32 : 26
                      

                      Can you give me some directions or example how to solve this task, please?

                      ANSWER

                      Answered 2022-Mar-12 at 15:09

                      Here is a simple solution using just modules from the standard library:

                      from itertools import combinations
                      from collections import Counter
                      
                      draws = [
                          [13, 14, 28, 30, 31, 37, 39],
                          [7, 10, 12, 16, 21, 22, 33],
                          [1, 2, 7, 15, 25, 31, 33],
                          [3, 6, 18, 21, 31, 34, 39]
                      ]
                      
                      duos = Counter()
                      trios = Counter()
                      
                      for draw in draws:
                          duos.update(combinations(draw, 2))
                          trios.update(combinations(draw, 3))
                      
                      print('Top 5 duos')
                      for x in duos.most_common(5):
                          print(f'{x[0]}: {x[1]}')
                      
                      print()
                      
                      print('Top 5 trios')
                      for x in trios.most_common(5):
                          print(f'{x[0]}: {x[1]}')
                      

                      The code snippet above will result in the following output:

                      Top 5 duos
                      (31, 39): 2
                      (7, 33): 2
                      (13, 14): 1
                      (13, 28): 1
                      (13, 30): 1
                      
                      Top 5 trios
                      (13, 14, 28): 1
                      (13, 14, 30): 1
                      (13, 14, 31): 1
                      (13, 14, 37): 1
                      (13, 14, 39): 1
                      
                      

                      And here is a slightly more elegant version:

                      from itertools import combinations
                      from collections import Counter
                      
                      draws = [
                          [13, 14, 28, 30, 31, 37, 39],
                          [7, 10, 12, 16, 21, 22, 33],
                          [1, 2, 7, 15, 25, 31, 33],
                          [3, 6, 18, 21, 31, 34, 39]
                      ]
                      
                      counters = [Counter() for _ in range(3)]
                      
                      for n, counter in enumerate(counters, 2):
                          for draw in draws:
                              counter.update(combinations(draw, n))
                      
                          print(f'Top 10 combos of {n} numbers')
                      
                          for combo, count in counter.most_common(10):
                              print(' '.join((f'{_:2d}' for _ in combo)), count, sep=': ')
                      
                          print()
                      

                      Which will give us the following output:

                      Top 10 combos of 2 numbers
                      31 39: 2
                       7 33: 2
                      13 14: 1
                      13 28: 1
                      13 30: 1
                      13 31: 1
                      13 37: 1
                      13 39: 1
                      14 28: 1
                      14 30: 1
                      
                      Top 10 combos of 3 numbers
                      13 14 28: 1
                      13 14 30: 1
                      13 14 31: 1
                      13 14 37: 1
                      13 14 39: 1
                      13 28 30: 1
                      13 28 31: 1
                      13 28 37: 1
                      13 28 39: 1
                      13 30 31: 1
                      
                      Top 10 combos of 4 numbers
                      13 14 28 30: 1
                      13 14 28 31: 1
                      13 14 28 37: 1
                      13 14 28 39: 1
                      13 14 30 31: 1
                      13 14 30 37: 1
                      13 14 30 39: 1
                      13 14 31 37: 1
                      13 14 31 39: 1
                      13 14 37 39: 1
                      

                      Source https://stackoverflow.com/questions/71449837

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install metrics-guice

                      You can download it from GitHub, Maven.
                      You can use metrics-guice 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 metrics-guice 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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