NAWS | NetLogo ABM Workflow System | BPM library

 by   HPCGISLab Python Version: Current License: Non-SPDX

kandi X-RAY | NAWS Summary

kandi X-RAY | NAWS Summary

NAWS is a Python library typically used in Automation, BPM applications. NAWS has no bugs, it has no vulnerabilities and it has low support. However NAWS build file is not available and it has a Non-SPDX License. You can download it from GitHub.

NetLogo ABM Workflow System (NAWS) ===. Introduction --- NetLogo is a widely used agent-based modeling environment (but lacks support for scalable parallel execution. The NetLogo ABM Workflow System (NAWS) automatically decomposes large NetLogo ABM experiments defined using BehaviorSpace into multiple sub-experiments and executes them in parallel using one or more nodes. While BehaviorSpace supports multi-core parallelism it has been found to scale relatively poorly. NAWS divides the parameter space of a large experiment into multiple sub-experiments to be executed on one or more nodes without modification to a NetLogo ABM. Example --- 4. Enter into a directory with a NetLogo model with defined experiment.
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            kandi-support Support

              NAWS has a low active ecosystem.
              It has 2 star(s) with 1 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              NAWS has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of NAWS is current.

            kandi-Quality Quality

              NAWS has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              NAWS 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

              NAWS releases are not available. You will need to build from source code and install.
              NAWS 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.
              It has 612 lines of code, 14 functions and 5 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed NAWS and discovered the below as its top functions. This is intended to give you an instant insight into NAWS implemented functionality, and help decide if they suit your requirements.
            • Generates a list of subexperiments .
            • Main function .
            • Run a taskfile .
            • create a subsub submission
            • Main task worker thread
            • creates a tasklist
            • Parse an experiment .
            • Create a new experiment .
            • Write an experiment to XML .
            • Create a tasklist .
            Get all kandi verified functions for this library.

            NAWS Key Features

            No Key Features are available at this moment for NAWS.

            NAWS Examples and Code Snippets

            No Code Snippets are available at this moment for NAWS.

            Community Discussions

            QUESTION

            Is this a reasonable way to design this DynamoDB table? Alternatives?
            Asked 2021-Sep-24 at 17:00

            Our team has started to use AWS and one of our projects will require storing approval statuses of various recommendations in a table.

            There are various things that identify a single recommendation, let's say they're : State, ApplicationDate, LocationID, and Phase. And then a bunch of attributes corresponding to the recommendation (title, volume, etc. etc.)

            The use case will often require grabbing all entries for a given State and ApplicationDate (and then we will look at all the LocationId and Phase items that correspond to it) for review from a UI. Items are added to the table one at a time for a given Station, ApplicationDate, LocationId, Phase and updated frequently.

            A dev with a little more AWS experience mentioned we should probably use State+ApplicationDate as the partition key, and LocationId+Phase as the sort key. These two pieces combined would make the primary key. I generally understand this, but how does that work if we start getting multiple recommendations for the same primary key? I figure we either are ok with just overwriting what was previously there, OR we have to add some other attribute so we can write a recommendation for the State+ApplicationDate/LocationId+Phase multiple times and get all previous values if we need to... but that would require adding something to the primary key right? Would that be like adding some kind of unique value to the sort key? Or for example, if we need to do status and want to record different values at different statuses, would we just need to add status to the sort key?

            Does this sound like a reasonable approach or should I be exploring a different NAWS offering for storing this data?

            ...

            ANSWER

            Answered 2021-Sep-24 at 17:00

            Use a time-based id property, such as a ULID or KSID. This will provide randomness to avoid overwriting data, but also provide a time-based sorting of your data when used as part of a sort key

            Because the id value is random, you will want to add it to your sort key for the table or index where you perform your list operations, and reserve the pk for known values that can be specified exactly.

            It sounds like the 'State' is a value that can change. You can't update an item's key attributes on the table, so it is more common to use these attributes in a key for a GSI if they are needed to list data.

            Given the above, an alternative design is to use the LocationId as the pk, the random id value as the sk, and a GSI with the GSI with 'State' as the pk and the random id as the sk. Or, if you want to list the items by State -> Phase -> date, the GSI sk could be a concatenation of the Phase and id property. The above pattern gives you another list mechanism using the LocationId + timestamp of the recommendation create time.

            Source https://stackoverflow.com/questions/69198533

            QUESTION

            Why in Django Rest Framework remove object still appears on a list?
            Asked 2021-Apr-11 at 12:20

            After removing object it is still in response data.

            /api/premises/premises/4

            returns

            ...

            ANSWER

            Answered 2021-Apr-10 at 22:34

            If you are using a browser to view /api/premises/premises/ then you may be viewing a cached version of that page. Try a Ctrl-R to reload a fresh version of the page.

            Source https://stackoverflow.com/questions/67036512

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

            Vulnerabilities

            No vulnerabilities reported

            Install NAWS

            You can download it from GitHub.
            You can use NAWS 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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