lazyarray | Python package | Data Manipulation library

 by   NeuralEnsemble Python Version: 0.5.2 License: BSD-3-Clause

kandi X-RAY | lazyarray Summary

kandi X-RAY | lazyarray Summary

lazyarray is a Python library typically used in Utilities, Data Manipulation, Numpy applications. lazyarray has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install lazyarray' or download it from GitHub, PyPI.

lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.
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            kandi-support Support

              lazyarray has a low active ecosystem.
              It has 12 star(s) with 9 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 5 have been closed. On average issues are closed in 132 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of lazyarray is 0.5.2

            kandi-Quality Quality

              lazyarray has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              lazyarray is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              lazyarray releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 1245 lines of code, 162 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 lazyarray and discovered the below as its top functions. This is intended to give you an instant insight into lazyarray implemented functionality, and help decide if they suit your requirements.
            • Build a ufunc ufunc compatible with ufunc
            • Applies a function to the list
            • Build ufunc compatible with larray
            • Create a lazy map
            • Decorator for methods that check the shape of the array
            • Decorator for functions
            • Create a lazy in place
            Get all kandi verified functions for this library.

            lazyarray Key Features

            No Key Features are available at this moment for lazyarray.

            lazyarray Examples and Code Snippets

            No Code Snippets are available at this moment for lazyarray.

            Community Discussions

            QUESTION

            How to read large set of data as lazyarrays
            Asked 2019-Nov-19 at 00:04

            I am trying to read a large set of data as lazyarrays doing the following:

            ...

            ANSWER

            Answered 2019-Nov-19 at 00:04

            ValueError: value too large is the error message that cachetools emits when it can't put one array into cache. People hit this so often that I think I'll need to catch it and reemit it with a more informative message or maybe even enlarge the cache to make it fit. (Is that a terrible idea? I need to find a good default policy for caches.)

            See the recent GitHub Issues—lazy arrays do have an implicit basketcache (which is different from the cache). You might need to provide an explicit basketcache if any of your baskets are bigger than 1 MB (the default limit).

            Source https://stackoverflow.com/questions/58924485

            QUESTION

            Prestashop - Full-Product-Description in Checkout
            Asked 2019-Sep-12 at 08:58

            I thought this would be quite easy but it turned out to be a tough task.

            My client requested me to implement the complete product description inside the order confirmation table inside the checkout.

            At the moment we just have the short description:

            File: themes/newtheme/templates/checkout/_partials/order-confirmation-table.tpl

            ...

            ANSWER

            Answered 2019-Sep-12 at 07:29

            The "description" field is not in the "whitelist" of the attributes allowed in front.

            If you open the file "src/Core/Filter/frontEndObject/ProductFilter.php", you will the the whitelist without "description".

            Src/core/ files cannot be overrided so you will have to create a module and register to the hook "ActionFrontControllerAfterInit"

            In your hook function, call the service, get the filters and add description to the whitelist :

            Source https://stackoverflow.com/questions/57741861

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

            Vulnerabilities

            No vulnerabilities reported

            Install lazyarray

            You can install using 'pip install lazyarray' or download it from GitHub, PyPI.
            You can use lazyarray 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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            Install
          • PyPI

            pip install lazyarray

          • CLONE
          • HTTPS

            https://github.com/NeuralEnsemble/lazyarray.git

          • CLI

            gh repo clone NeuralEnsemble/lazyarray

          • sshUrl

            git@github.com:NeuralEnsemble/lazyarray.git

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