devdocs | Magento Developer Documentation | Ecommerce library

 by   magento Ruby Version: Current License: Non-SPDX

kandi X-RAY | devdocs Summary

kandi X-RAY | devdocs Summary

devdocs is a Ruby library typically used in Web Site, Ecommerce applications. devdocs has no bugs, it has no vulnerabilities and it has medium support. However devdocs has a Non-SPDX License. You can download it from GitHub.

Welcome! This site contains the latest Adobe Commerce and Magento Open Source developer documentation for ongoing releases of both products. For additional information, see our Contribution Guide.
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              devdocs has a medium active ecosystem.
              It has 589 star(s) with 1783 fork(s). There are 447 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 86 open issues and 1549 have been closed. On average issues are closed in 39 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of devdocs is current.

            kandi-Quality Quality

              devdocs has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              devdocs 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

              devdocs releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            devdocs Key Features

            No Key Features are available at this moment for devdocs.

            devdocs Examples and Code Snippets

            No Code Snippets are available at this moment for devdocs.

            Community Discussions

            QUESTION

            Tensorflow rotate with random uniform take 1 positional argument but 2 were given
            Asked 2022-Apr-04 at 07:24

            I have the following code that uses tensorflow to calculate a custom average loss when the image is consistently rotated:

            ...

            ANSWER

            Answered 2022-Apr-01 at 08:58

            The error might be coming from using TF tensors. As stated in the docs you linked regarding random_rotation:

            Performs a random rotation of a Numpy image tensor.

            Meaning you cannot use TF tensors with this operation. If you are in eager execution mode you can use tensor.numpy():

            Source https://stackoverflow.com/questions/71703875

            QUESTION

            Azure DevOps AzureFunctionApp@1 not installing python dependencies
            Asked 2022-Mar-21 at 16:40

            Using the Azure Devops task with current setup :

            ...

            ANSWER

            Answered 2022-Mar-21 at 16:40

            Maybe you will have to use python 3.9 and the latest ubuntu agent in the pipeline

            https://github.com/Azure/azure-functions-python-worker/issues/904

            Source https://stackoverflow.com/questions/71559703

            QUESTION

            Why I can't import torch windows
            Asked 2022-Mar-21 at 14:44

            I installed python 3.8.0, numpy 1.22.3, pytorch 1.11.0 . and I tried this code:import torch. But I'm getting this error:

            ...

            ANSWER

            Answered 2022-Mar-21 at 14:44

            ** From the PyCharm Python Console you can digit ctrl+alt+S to access at the Project:pythonProject > Python Interpreter. Down in the page, you should see a + button to access to all available packages. Please, here search for torch and install it. Now try:**

            Source https://stackoverflow.com/questions/71552813

            QUESTION

            How can I resolve Python module import problems stemming from the failed import of NumPy C-extensions for running Spark/Python code on a MacBook Pro?
            Asked 2022-Mar-12 at 22:12

            When I try to run the (simplified/illustrative) Spark/Python script shown below in the Mac Terminal (Bash), errors occur if imports are used for numpy, pandas, or pyspark.ml. The sample Python code shown here runs well when using the 'Section 1' imports listed below (when they include from pyspark.sql import SparkSession), but fails when any of the 'Section 2' imports are used. The full error message is shown below; part of it reads: '..._multiarray_umath.cpython-310-darwin.so' (mach-o file, but is an incompatible architecture (have 'arm64', need 'x86_64'). Apparently, there was a problem importing NumPy 'c-extensions' to some of the computing nodes. Is there a way to resolve the error so a variety of pyspark.ml and other imports will function normally? [Spoiler alert: It turns out there is! See the solution below!]

            The problem could stem from one or more potential causes, I believe: (1) improper setting of the environment variables (e.g., PATH), (2) an incorrect SparkSession setting in the code, (3) an omitted but necessary Python module import, (4) improper integration of related downloads (in this case, Spark 3.2.1 (spark-3.2.1-bin-hadoop2.7), Scala (2.12.15), Java (1.8.0_321), sbt (1.6.2), Python 3.10.1, and NumPy 1.22.2) in the local development environment (a 2021 MacBook Pro (Apple M1 Max) running macOS Monterey version 12.2.1), or (5) perhaps a hardware/software incompatibility.

            Please note that the existing combination of code (in more complex forms), plus software and hardware runs fine to import and process data and display Spark dataframes, etc., using Terminal--as long as the imports are restricted to basic versions of pyspark.sql. Other imports seem to cause problems, and probably shouldn't.

            The sample code (a simple but working program only intended to illustrate the problem):

            ...

            ANSWER

            Answered 2022-Mar-12 at 22:10

            Solved it. The errors experienced while trying to import numpy c-extensions involved the challenge of ensuring each computing node had the environment it needed to execute the target script (test.py). It turns out this can be accomplished by zipping the necessary modules (in this case, only numpy) into a tarball (.tar.gz) for use in a 'spark-submit' command to execute the Python script. The approach I used involved leveraging conda-forge/miniforge to 'pack' the required dependencies into a file. (It felt like a hack, but it worked.)

            The following websites were helpful for developing a solution:

            1. Hyukjin Kwon's blog, "How to Manage Python Dependencies in PySpark" https://databricks.com/blog/2020/12/22/how-to-manage-python-dependencies-in-pyspark.html
            2. "Python Package Management: Using Conda": https://spark.apache.org/docs/latest/api/python/user_guide/python_packaging.html
            3. Alex Ziskind's video "python environment setup on Apple Silicon | M1, M1 Pro/Max with Conda-forge": https://www.youtube.com/watch?v=2Acht_5_HTo
            4. conda-forge/miniforge on GitHub: https://github.com/conda-forge/miniforge (for Apple chips, use the Miniforge3-MacOSX-arm64 download for OS X (arm64, Apple Silicon).

            Steps for implementing a solution:

            1. Install conda-forge/miniforge on your computer (in my case, a MacBook Pro with Apple silicon), following Alex's recommendations. You do not yet need to activate any conda environment on your computer. During installation, I recommend these settings:

            Source https://stackoverflow.com/questions/71361081

            QUESTION

            NumPy setup / import issue in lambda function
            Asked 2022-Feb-12 at 23:12

            Runtime python 3.7 w/ compatible runtime 3.7

            I keep getting Import error when trying to test API in lambda function

            ...

            ANSWER

            Answered 2022-Feb-12 at 23:12

            Based on the comments.

            The solution was to use Numpy layer provided by AWS.

            Source https://stackoverflow.com/questions/71096338

            QUESTION

            Unable to import Pandas on Replit.com - Python
            Asked 2022-Feb-10 at 03:15

            I'm unable to import pandas with import pandas as pd on replit. I've already installed the package with pip install pandas and it can be seen in packages. I've successfully imported it to other projects on replit. Every time I try importing it into my code on this project, it gives me the following error:

            ...

            ANSWER

            Answered 2022-Feb-10 at 03:15

            You don't need to use pip to install packages on repl.it -- and in fact, you shouldn't! Using Nix derivations not only works better (as you're using their OS distro the way it's designed), but also keeps their storage costs low, by allowing packages to be used from a read-only, hash-addressed, shared store.

            Binaries built for other distributions might assume that there will be libraries in /lib, /usr/lib, or the like, but that's not how NixOS works: Libraries will be in a path like /nix/store/--/lib, and those paths get embedded into the executables that use those libraries.

            The easiest thing to do here is to create a new bash repl, but to add a Python interpreter to it. (I suggest this instead of using a Python repl because the way they have their Python REPLs set up adds a bunch of extra tools that need to be reconfigured; a bash repl keeps it simple).

            • Create a new bash repl.
            • Click on the three-dots menu.
            • Select "Show Hidden Files".
            • Open the file named replit.nix
            • Edit the file by adding a Python interpreter with pandas, as follows:

            Source https://stackoverflow.com/questions/71059232

            QUESTION

            Numpy from alpine package repo fails to import c-extensions
            Asked 2022-Feb-05 at 18:50

            I am making a docker image that needs pandas and numpy but the installation via pip takes around 20 mins which is too long for my use case. I then opt to install pandas and numpy from alpine package repo but it seems to fail to import numpy correctly.

            Here is my Dockerfile:

            ...

            ANSWER

            Answered 2021-Sep-28 at 11:25

            I know it's been a while since this was asked, and you might've found a solution, or moved on from Alpine to a different distro. But I ran into the same issue, and this was the first thing that popped up on my search. So, after spending a couple of hours and finding a solution, I think it's worthwhile to document it here.

            The issue is (obviously) with numpy and pandas packages. I used pre-built wheels from the community repo and ran into the same issue as you. So, evidently, the build process itself is introducing the issue. Specifically, if you look, e.g., under numpy/core at the install location (/usr/lib/python3.9/site-packages), you'll find that all the C-extensions have .cpython-39-x86_64-linux-musl in their name. So, for instance, the module you're having trouble with, numpy.core._multiarray_umath, is named _multiarray_umath.cpython-39-x86_64-linux-musl.so, and not just _multiarray_umath.so. Dropping the .cpython-39-x86_64-linux-musl from those filenames fixed the issue (edit: see addendum for details).

            The following line can be added to your Dockerfile after installing py3-pandas and py3-numpy to fix it:

            Source https://stackoverflow.com/questions/68752830

            QUESTION

            What is a "closure" in Julia?
            Asked 2022-Feb-03 at 18:34

            I am learning how to write a Maximum Likelihood implementation in Julia and currently, I am following this material (highly recommended btw!). So the thing is I do not fully understand what a closure is in Julia nor when should I actually use it. Even after reading the official documentation the concept still remain a bit obscure to me.

            For instance, in the tutorial, I mentioned the author defines the log-likelihood function as:

            ...

            ANSWER

            Answered 2022-Feb-03 at 18:34

            In the context you ask about you can think that closure is a function that references to some variables that are defined in its outer scope (for other cases see the answer by @phipsgabler). Here is a minimal example:

            Source https://stackoverflow.com/questions/70969919

            QUESTION

            How does the methods function work in Julia?
            Asked 2022-Jan-22 at 03:48

            The methods function returns the method table of a function as also mentioned here. I am looking for an explanation on how the function works.

            Consider the following example in Julia 1.7:

            ...

            ANSWER

            Answered 2022-Jan-22 at 03:48

            Ah, so to be a bit technical this is really more accurately a question about how type annotations, dispatch, optional arguments, and keyword arguments work in Julia; the methods function just gives you some insight into that process, but it's not the methods function that makes those decisions. To answer your individual questions

            It is not quite clear to me why there is no method f(::Int64, ::Float64) (hence the error).

            There is no method for this because you you can only omit optional normal (non-keyword) arguments contiguously from the last normal (non-keyword) argument. Consider the following case:

            Source https://stackoverflow.com/questions/70809164

            QUESTION

            Import c-modules from embedded Python interpreter (pybind11) in a shared object raises an undefined symbol exception
            Asked 2021-Dec-17 at 09:08

            Update (1): The same problem can be seen with some compiled stdlib modules. This is not related to numpy (I'm removing the numpy tag and numpy from the title)

            I'm writing a shared object (that is a plugin for a software) that contains an embedded python interpreter. The shared object launches an interpreter and the interpreter imports a python module to be executed. If the imported module includes numpy, I get an undefined symbol error. The actual undefined symbol error changes in function of the python version or numpy version, but it is always a struct of the PyExc_* family.

            I've simplified the issue to this mimimum example (it comprises actually two files):

            ...

            ANSWER

            Answered 2021-Dec-17 at 09:08

            I've found a solution. Knowing that it was not tied to numpy halped quite a lot to switch the focus on the real problem: symbol missing. Taking the suggestion from this answer and in particular this point:

            Solve a problem. Load the library found in step 1 by dlopen first (use RTLD_GLOBAL there as well).

            I've modified the minimum example as follows:

            Source https://stackoverflow.com/questions/70390288

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

            Vulnerabilities

            No vulnerabilities reported

            Install devdocs

            You do not need to set up a webserver to serve the site locally. Jekyll will use its own webserver for this.
            Consider to set up the Ruby version defined in .ruby-version. Ruby version manager such as rvm or rbenv can help to manage the correct version for this automatically. See official documentation for the most recent installation guidelines and available options.
            Clone the repository. The first time you are at the devdocs directory, run:.

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