lineages | Resources for calling and describing the circulating | Continuous Deployment library

 by   cov-lineages Python Version: 2020-05-19-2 License: Non-SPDX

kandi X-RAY | lineages Summary

kandi X-RAY | lineages Summary

lineages is a Python library typically used in Devops, Continuous Deployment, Docker applications. lineages has no bugs, it has no vulnerabilities, it has build file available and it has low support. However lineages has a Non-SPDX License. You can download it from GitHub.

Resources for calling and describing the circulating lineages of SARS-CoV-2
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              lineages has a low active ecosystem.
              It has 24 star(s) with 9 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 13 have been closed. On average issues are closed in 3 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of lineages is 2020-05-19-2

            kandi-Quality Quality

              lineages has 0 bugs and 0 code smells.

            kandi-Security Security

              lineages has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              lineages code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              lineages 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.

            kandi-Reuse Reuse

              lineages releases are available to install and integrate.
              Build file is available. You can build the component from source.
              lineages saves you 131 person hours of effort in developing the same functionality from scratch.
              It has 328 lines of code, 16 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed lineages and discovered the below as its top functions. This is intended to give you an instant insight into lineages implemented functionality, and help decide if they suit your requirements.
            • Create lineage objects from metadata file
            • Parse travel history
            • Generate the report
            • Parse command line arguments
            Get all kandi verified functions for this library.

            lineages Key Features

            No Key Features are available at this moment for lineages.

            lineages Examples and Code Snippets

            No Code Snippets are available at this moment for lineages.

            Community Discussions

            QUESTION

            Identify linked documents (document trees/lineages) using tidyverse
            Asked 2021-May-05 at 13:38

            I have many text documents (items) that consist of a unique item number (item_nr) and a text (text)

            The items might be linked to none, one or multiple other items over their item_nr in the text

            I have a few starting items (start_items) for which I would like to identify trees (lineages) of all linked items until their ends (an item that does not link another one).

            Example data

            ...

            ANSWER

            Answered 2021-May-05 at 13:38

            This was a fun problem to investigate :-)

            Your issue is a classic problem of recursion, which is a kinda hard concept the first time you see it.

            As you don't know how many recursions there will be, a long format is better.

            Here, the recursive function will call itself as long as there are links to parse. The escape condition is based on the number of remaining links. However, I added a max_r value to avoid being stuck in an infinite loop, in the case you have an item linking to itself (directly or not).

            The initiation loop (if(r==0)) is only here to prepare the long format, where a single item can be on multiple rows: there is a source item, a current item and a current recursion number. This should be externalized to simplify the function (then you start at r=1) if you don't care to change your dataset format.

            Source https://stackoverflow.com/questions/67392907

            QUESTION

            SPARQL property paths based on a new property defined in a CONSTRUCT subquery
            Asked 2020-Sep-24 at 22:25

            Given the following schema, "driver-passenger" lineages can be easily seen:

            ...

            ANSWER

            Answered 2020-Sep-24 at 22:25

            This one seems to do the trick:

            Source https://stackoverflow.com/questions/64053035

            QUESTION

            Issues with long lineages (DAG) in Spark
            Asked 2020-Apr-28 at 21:19

            We usually use Spark as processing engines for data stored on S3 or HDFS. We use Databricks and EMR platforms. One of the issues I frequently face is when the task size grows, the job performance is degraded severely. For example, let's say I read data from five tables with different levels of transformation like (filtering, exploding, joins, etc), union subset of data from these transformations, then do further processing (ex. remove some rows based on a criteria that requires windowing functions etc) and then some other processing stages and finally save the final output to a destination s3 path. If we run this job without it takes very long time. However, if we save(stage) temporary intermediate dataframes to S3 and use this saved (on S3) dataframe for the next steps of queries, the job finishes faster. Does anyone have similar experience? Is there a better way to handle this kind of long tasks lineages other than checkpointing?

            What is even more strange is for longer lineages spark throws an expected error like column not found, while the same code works if intermediate results are temporarily staged.

            ...

            ANSWER

            Answered 2019-Oct-27 at 01:48

            Writing the intermediate data by saving the dataframe, or using a checkpoint is the only way to fix it. You're probably running into an issue where the optimizer is taking a really long time to generate the plan. The quickest/most efficient way to fix this is to use localCheckpoint. This materializes a checkpoint locally.

            Source https://stackoverflow.com/questions/58564275

            QUESTION

            How to rewrite history for multiple branches simultaneously?
            Asked 2020-Feb-22 at 01:05

            With interactive rebase (git -i rebase ...) one can edit commits anywhere in the current branch's lineage, thus "rewriting history".

            A given commit, however, can belong to the lineages of multiple branches.

            For example, suppose I have a repo with this branch structure:

            ...

            ANSWER

            Answered 2020-Feb-22 at 01:05

            ... is there a halfway convenient way to achieve [a sensible result]

            No.

            There's one command, git filter-branch, that can do it, but it's not halfway convenient, nor even 1/4th convenient. It's about 1000% inconvenient. :-)

            The new git rebase --rebase-merges machinery is pretty obviously adaptable to doing this sort of thing in a more convenient way,1 but it's not currently designed to rebase multiple branch names.

            The new experimental git filter-repo is capable enough to do what you want, and probably less inconvenient than git filter-branch, but it's still swatting bugs with nuclear weapons—in this case, maybe a moderately large bug, not just a fly, but still serious overkill.

            (I once wrote my own experimental thing to do this sort of rebase, but I never finished it. It did what I needed it to, when I needed it. It worked using the equivalent of repeated git rebase --onto operations and had a lot of corner cases.)

            1The key is to be able to label particular commits, so that after rebase copies them, you can pair up the hash-ID pairs, and otherwise jump around the graph structure from one chain to another as the rebase progresses. The old --preserve-merges code could not do that; the new --rebase-merges code can. Once you have these pieces in place, rebasing multiple branches "simultaneously" is just a matter of saving multiple branch names to force-adjust after the rebase completes. You then have the rebase list the correct commits and jump-points. The main bulk of the rebase operation consists of copying those commits. Last, using the old-to-new mapping, rebase can adjust each branch name, then reconnect HEAD to the one you want.

            The remaining user-interface level problem lies in selecting the correct set of branch names to multi-rebase.

            Source https://stackoverflow.com/questions/60347840

            QUESTION

            show/hide element using javascript
            Asked 2019-Dec-06 at 18:18

            I'm testing some simple HTML/JavaScript code, however, when I open the site, the show/hide scripts only hides the first section, but doesn't do anything to the other sections. I would like it so that for every image clicked, the section corresponding to that image is displayed.

            Here is the code:

            ...

            ANSWER

            Answered 2019-Dec-06 at 18:11

            Your problem resides on the declaration of document on every function.

            Your code is:

            Source https://stackoverflow.com/questions/59218227

            QUESTION

            How to cumulatively link values across rows and columns in Pandas Dataframe?
            Asked 2019-Oct-24 at 08:02

            I have a Pandas DataFrame, where each row represents a link between two unique spots (source and target) within lineages. The lineages may only split into two, but they never merge:

            ...

            ANSWER

            Answered 2019-Oct-24 at 08:02

            We need to use df.apply functionality of pandas

            Source https://stackoverflow.com/questions/58518390

            QUESTION

            Nice output of RDD lineage/Spark operator graph
            Asked 2018-Apr-10 at 13:06

            I'm interested in a nice and clear representation of Spark RDD lineages or operator graphs for educational purposes. I tried .toDebugString() but I'm having trouble getting it pretty-printed (including line breaks etc.) What is going wrong here?

            ...

            ANSWER

            Answered 2018-Apr-10 at 13:06

            but I'm having trouble getting it pretty-printed

            Because it is bytes object. Just decode the result:

            Source https://stackoverflow.com/questions/49754318

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

            Vulnerabilities

            No vulnerabilities reported

            Install lineages

            You can download it from GitHub.
            You can use lineages 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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