partitionfinder | PartitionFinder discovers optimal partitioning schemes | Genomics library

by brettc Python Version: h5-bugfix-1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | partitionfinder Summary

partitionfinder is a Python library typically used in Healthcare, Pharma, Life Sciences, Artificial Intelligence, Genomics applications. partitionfinder has no bugs, it has no vulnerabilities and it has low support. However partitionfinder build file is not available and it has a Non-SPDX License. You can download it from GitHub.

PartitionFinder 2 is a Python program for simultaneously choosing partitioning schemes and models of molecular evolution for phylogenetic analyses of DNA, protein, and morphological data. You can PartitionFinder 2 before running a phylogenetic analysis, in order to decide how to divide up your sequence data into separate blocks before analysis, and to simultaneously perform model selection on each of those blocks.

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partitionfinder has a low active ecosystem.

It has 43 star(s) with 37 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 18 open issues and 86 have been closed. On average issues are closed in 302 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of partitionfinder is h5-bugfix-1

Quality

partitionfinder has 0 bugs and 0 code smells.

Security

partitionfinder has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

partitionfinder code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

partitionfinder 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.

Reuse

partitionfinder releases are available to install and integrate.

partitionfinder has no build file. You will be need to create the build yourself to build the component from source.

partitionfinder saves you 2534 person hours of effort in developing the same functionality from scratch.

It has 5509 lines of code, 425 functions and 78 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Perform the analysis
Run a list of tasks
Run tasks in parallel
Analyze a list of subsets
Analyze the starting scheme
Count the number of greedy schemes
Count the number of subsets
Make a tree
Determine if we need a new tree
Generates all possible schemes for all partitions
Create a numpy datatype datatype
Set an option value
Make the alignment
Performs a complete analysis
Gets the difficulty for a given model string
Run the analysis
Run the pool
Validates that the file
Return a list of all the instances involved in a scheme
Calculate the sitewise Entropy
Get a logger
Performs the analysis
Performs a strict clustering analysis
Run the k - means algorithm
Check for old configuration files
Write best scheme

Get all kandi verified functions for this library.

partitionfinder Key Features

No Key Features are available at this moment for partitionfinder.

partitionfinder Examples and Code Snippets

No Code Snippets are available at this moment for partitionfinder.

Community Discussions

Trending Discussions on partitionfinder

What is the simplest Spring Kafka @KafkaListener configuration to consume all records from a set of compacted topics?

QUESTION

What is the simplest Spring Kafka @KafkaListener configuration to consume all records from a set of compacted topics?

Asked 2020-Sep-23 at 17:34

I have the names of several compacted Kafka topics (topic1, topic2, ..., topicN) defined in my spring application.yaml file. I want to be able to consume all of the records on each topic partition on startup. The number of partitions on each topic is not known in advance.

The official Spring Kafka 2.6.1 documentation suggests the simplest way to do this is to implement a PartitionFinder and use it in a SpEL expresssion to dynamically look up the number of partitions for a topic, and to then use a * wildcard in the partitions attribute of a @TopicPartition annotation (see Explicit Partition Assignment in the @KafkaListener Annotation documentation):

...

ANSWER

Answered 2020-Sep-23 at 17:34

It's not currently possible with @KafkaListener - please open a new feature issue on GitHub.

The only work around I can think of is to programmatically create a listener container from the container factory and create a listener adapter. I can provide an example if you need it.

EDIT

Here is an example:

Source https://stackoverflow.com/questions/64022266

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

Vulnerabilities

No vulnerabilities reported

Install partitionfinder

You can download it from GitHub.
You can use partitionfinder like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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