biggus | Virtual large arrays and lazy evaluation

 by   SciTools Python Version: 0.14.0 License: LGPL-3.0

X-RayKey FeaturesCode SnippetsCommunity Discussions(2)VulnerabilitiesInstallSupport

kandi X-RAY | biggus Summary

kandi X-RAY | biggus Summary

biggus is a Python library. biggus has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. However biggus has 6 bugs. You can install using 'pip install biggus' or download it from GitHub, PyPI.

:no_entry: [DEPRECATED] Virtual large arrays and lazy evaluation.
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            kandi-support Support

              biggus has a low active ecosystem.
              It has 56 star(s) with 27 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 62 have been closed. On average issues are closed in 602 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of biggus is 0.14.0

            kandi-Quality Quality

              biggus has 6 bugs (0 blocker, 0 critical, 6 major, 0 minor) and 130 code smells.

            kandi-Security Security

              biggus has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              biggus code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              biggus is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              biggus releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              biggus saves you 2388 person hours of effort in developing the same functionality from scratch.
              It has 5206 lines of code, 773 functions and 52 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed biggus and discovered the below as its top functions. This is intended to give you an instant insight into biggus implemented functionality, and help decide if they suit your requirements.
            • Run the pipeline
            • Aborts all output queues
            • Generate chunks for a given shape
            • Put the given chunk into the output queues
            • Get the full keys for the given keys
            • Remap key from indices
            • Clean up a key
            • Wrapper for ufunc wrapper
            • Wrap a function to return an elementwise expression
            • Wrap a function to return the elementwise evaluation
            • Calculate the variance of an Array
            • Normalise axis argument
            • Return the full keys for the given keys
            • Map axes to the target iterable
            • Main loop
            • Finalise processing
            • Save sources to target
            • Return a list of all slices in the given shape
            • Add input nodes to the graph
            • Return a numpy array of the source code
            • Return masked arrays
            • Return a masked array
            • Return a ndarray
            • Wrap a function to return elements
            • Wrap a function to return an elementwise evaluation function
            • Process the given chunks
            • Calculate the sum over a given axis
            Get all kandi verified functions for this library.

            biggus Key Features

            No Key Features are available at this moment for biggus.

            biggus Examples and Code Snippets

            No Code Snippets are available at this moment for biggus.

            Community Discussions

            Trending Discussions on biggus

            What is the best way to combine various object and print them out accordingly?
            Scala : Unable to match the pattern

            QUESTION

            What is the best way to combine various object and print them out accordingly?
            Asked 2018-Apr-21 at 22:42

            So I am attempting to write a program in Python that builds a list of students and eventually prints them out to the screen. For each student the user chooses to add, the input of first name, last name, and ID number are taken.

            My issue is that although I am attempting to append each new person created onto a list called studentList[], when I print the list out at the end, I get an output of the correct number of student but all containing the same information as the last student I entered.

            For example, if I add the students 'Johnny Tsunami 4', 'Billy Bobblie 23', 'Biggus Dickus 77', my output will read:

            ...

            ANSWER

            Answered 2018-Apr-21 at 22:42

            You are referencing the local variables fname, lname, and idNo that you last set in the while loop. The variables that you want are stored separately in each instance of the Student class. Try this for loop instead:

            Source https://stackoverflow.com/questions/49960790

            QUESTION

            Scala : Unable to match the pattern
            Asked 2017-Nov-08 at 03:44

            I am new to Scala and I am trying to execute = following code in Scala:

            ...

            ANSWER

            Answered 2017-Nov-07 at 14:40

            Your pattern matching is not right, you are putting conditions as cases, instead of a value and then, the condition. The power of case classes is (among many others) that you can pattern match against them with an easy-to-read syntax:

            I made some tests and is working fine to me as follows (Check the default case)

            Source https://stackoverflow.com/questions/47156545

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

            Vulnerabilities

            No vulnerabilities reported

            Install biggus

            You can install using 'pip install biggus' or download it from GitHub, PyPI.
            You can use biggus 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 .
            Find more information at:

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            Install
          • PyPI

            pip install Biggus

            • CLONE
          • HTTPS

            https://github.com/SciTools/biggus.git

          • CLI

            gh repo clone SciTools/biggus

          • sshUrl

            git@github.com:SciTools/biggus.git

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