forge | public TOSCA Types and Topology templates | Data Visualization library

 by   ystia Shell Version: v3.0.0-milestone.1 License: Apache-2.0

kandi X-RAY | forge Summary

kandi X-RAY | forge Summary

forge is a Shell library typically used in Analytics, Data Visualization, D3 applications. forge has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A set of public TOSCA Types and Topology templates used by the Ystia project.
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              forge has a low active ecosystem.
              It has 3 star(s) with 7 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 18 open issues and 51 have been closed. On average issues are closed in 5 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of forge is v3.0.0-milestone.1

            kandi-Quality Quality

              forge has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              forge is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              forge releases are available to install and integrate.
              It has 1640 lines of code, 25 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            forge Key Features

            No Key Features are available at this moment for forge.

            forge Examples and Code Snippets

            No Code Snippets are available at this moment for forge.

            Community Discussions

            QUESTION

            Why Python native on M1 Max is greatly slower than Python on old Intel i5?
            Asked 2022-Mar-29 at 03:35

            I just got my new MacBook Pro with M1 Max chip and am setting up Python. I've tried several combinational settings to test speed - now I'm quite confused. First put my questions here:

            • Why python run natively on M1 Max is greatly (~100%) slower than on my old MacBook Pro 2016 with Intel i5?
            • On M1 Max, why there isn't significant speed difference between native run (by miniforge) and run via Rosetta (by anaconda) - which is supposed to be slower ~20%?
            • On M1 Max and native run, why there isn't significant speed difference between conda installed Numpy and TensorFlow installed Numpy - which is supposed to be faster?
            • On M1 Max, why run in PyCharm IDE is constantly slower ~20% than run from terminal, which doesn't happen on my old Intel Mac.

            Evidence supporting my questions is as follows:

            Here are the settings I've tried:

            1. Python installed by

            • Miniforge-arm64, so that python is natively run on M1 Max Chip. (Check from Activity Monitor, Kind of python process is Apple).
            • Anaconda. Then python is run via Rosseta. (Check from Activity Monitor, Kind of python process is Intel).

            2. Numpy installed by

            • conda install numpy: numpy from original conda-forge channel, or pre-installed with anaconda.
            • Apple-TensorFlow: with python installed by miniforge, I directly install tensorflow, and numpy will also be installed. It's said that, numpy installed in this way is optimized for Apple M1 and will be faster. Here is the installation commands:
            ...

            ANSWER

            Answered 2021-Dec-06 at 05:53
            Possible Cause: Different BLAS Libraries

            Since the benchmark is running linear algebra routines, what is likely being tested here are the BLAS implementations. A default Anaconda distribution for osx-64 platform is going to come with Intel's MKL implementation; the osx-arm64 platform only has the generic Netlib BLAS and the OpenBLAS implementation options.

            For me (MacOS w/ Intel i9), I get the following benchmark results:

            BLAS Implmentation Mean Timing (s) mkl 0.95932 blis 1.72059 openblas 2.17023 netlib 5.72782

            So, I suspect the old MBP had MKL installed, and the M1 system is installing either Netlib or OpenBLAS. Maybe try figuring out whether Netlib or OpenBLAS are faster on M1, and keep the faster one.

            Specifying BLAS Implementation

            Here are specifically the different environments I tested:

            Source https://stackoverflow.com/questions/70240506

            QUESTION

            Cannot load inline font in Electron-Forge/Webpack
            Asked 2022-Mar-29 at 03:04

            When import 'semantic-ui-css/semantic.min.css' into a brand new Electron-Forge/Webpack5 project, I get the following:

            ...

            ANSWER

            Answered 2021-Jul-26 at 17:05

            Finally fixed it...

            Electron-Forge installs a recent version of CSS-Loader, whereas the website still has quite an old version. Downgrading fixed the issue.

            Source https://stackoverflow.com/questions/68532968

            QUESTION

            In R, how to use reticulate to import mplsoccer
            Asked 2022-Mar-23 at 20:33

            I'm trying to import a python package (mplsoccer) via reticulate package but I can't: reticulate::py_install('mplsoccer')

            This is the message I get:

            ...

            ANSWER

            Answered 2022-Mar-23 at 20:33

            This isn't available through Conda, but is on PyPI. Try instead:

            Source https://stackoverflow.com/questions/71588728

            QUESTION

            How to hack conda for Anaconda3 Python to ignore package dependencies? Modified conda-meta package JSON depends flag, but it's not enough
            Asked 2022-Mar-03 at 23:39

            Alright I have a package Pythran which is a Python to C++ (PYD module) complier. The package itself on conda-forge says it requires clang and clangxx. BUT I have MS Build Tools clang-12 already installed, so these packages are not used at all.

            Now every time I go to conda install [package_name] it tells me my environment is inconsistent, because I force removed the clang libraries I don't need (or want) via a:

            ...

            ANSWER

            Answered 2022-Mar-01 at 00:36
            Dummy Packages

            The cleaner solution is to create a dummy package that one can install as an indicator that the corresponding software is already available on the system. This is what Conda Forge provides for the mpich package. Specifically, they provide an external build (see recipe), that one installs with

            Source https://stackoverflow.com/questions/71302220

            QUESTION

            Conflicting Python versions in SageMaker Studio notebook with Python 3.8 kernel
            Asked 2022-Feb-25 at 13:00

            I'm trying to run a SageMaker kernel with Python 3.8 in SageMaker Studio, and the notebook appears to use a separate distribution of Python 3.7. The running app is indicated as tensorflow-2.6-cpu-py38-ubuntu20.04-v1. When I run !python3 -V I get Python 3.8.2. However, the Python instance inside the notebook is different:

            ...

            ANSWER

            Answered 2022-Feb-25 at 13:00

            are you still facing this issue?

            I am in eu-west-2 using a SageMaker Studio notebook and the TensorFlow 2.6 Python 3.8 CPU Optimized image (running app is tensorflow-2.6-cpu-py38-ubuntu20.04-v1).

            When I run the below commands, I get the right outputs.

            Source https://stackoverflow.com/questions/70486162

            QUESTION

            Calibration based on the total of a variable other than the population
            Asked 2022-Feb-18 at 16:08

            I've been working on some survey data using the survey package. I read the documentation available on post-stratification and calibration, however I got stuck trying to calibrate the sampling weights on a total known for the population that is not the population total.

            To make my self clear I prepared an example: Let's say I have income information for a sample stratified by sex, which lets me create the svydesign object:

            ...

            ANSWER

            Answered 2022-Feb-17 at 04:09

            Here is a workaround.

            all your data is stored at dis$variables, from there you can export it and make your calculations. I hope this can inspire better solutions

            Source https://stackoverflow.com/questions/71057827

            QUESTION

            Does it make sense to use Conda + Poetry?
            Asked 2022-Feb-14 at 10:04

            Does it make sense to use Conda + Poetry for a Machine Learning project? Allow me to share my (novice) understanding and please correct or enlighten me:

            As far as I understand, Conda and Poetry have different purposes but are largely redundant:

            • Conda is primarily a environment manager (in fact not necessarily Python), but it can also manage packages and dependencies.
            • Poetry is primarily a Python package manager (say, an upgrade of pip), but it can also create and manage Python environments (say, an upgrade of Pyenv).

            My idea is to use both and compartmentalize their roles: let Conda be the environment manager and Poetry the package manager. My reasoning is that (it sounds like) Conda is best for managing environments and can be used for compiling and installing non-python packages, especially CUDA drivers (for GPU capability), while Poetry is more powerful than Conda as a Python package manager.

            I've managed to make this work fairly easily by using Poetry within a Conda environment. The trick is to not use Poetry to manage the Python environment: I'm not using commands like poetry shell or poetry run, only poetry init, poetry install etc (after activating the Conda environment).

            For full disclosure, my environment.yml file (for Conda) looks like this:

            ...

            ANSWER

            Answered 2022-Feb-14 at 10:04

            As I wrote in the comment, I've been using a very similar Conda + Poetry setup in a data science project for the last year, for reasons similar to yours, and it's been working fine. The great majority of my dependencies are specified in pyproject.toml, but when there's something that's unavailable in PyPI, I add it to environment.yml.

            Some additional tips:

            1. Add Poetry, possibly with a version number (if needed), as a dependency in environment.yml, so that you get Poetry installed when you run conda env create, along with Python and other non-PyPI dependencies.
            2. Consider adding conda-lock, which gives you lock files for Conda dependencies, just like you have poetry.lock for Poetry dependencies.

            Source https://stackoverflow.com/questions/70851048

            QUESTION

            Cannot find conda info. Please verify your conda installation on EMR
            Asked 2022-Feb-05 at 00:17

            I am trying to install conda on EMR and below is my bootstrap script, it looks like conda is getting installed but it is not getting added to environment variable. When I manually update the $PATH variable on EMR master node, it can identify conda. I want to use conda on Zeppelin.

            I also tried adding condig into configuration like below while launching my EMR instance however I still get the below mentioned error.

            ...

            ANSWER

            Answered 2022-Feb-05 at 00:17

            I got the conda working by modifying the script as below, emr python versions were colliding with the conda version.:

            Source https://stackoverflow.com/questions/70901724

            QUESTION

            Conda can't import module that's been installed
            Asked 2022-Feb-03 at 09:24

            Others have asked about this, but my situation seems slightly different, and none of the suggestions they received worked for me (e.g. here, here, here).

            I'm using Anaconda Navigator on Windows, and trying to use the "nco" package. I installed it via the Anaconda Navigator, and when (in Spyder) I type conda list nco it gives me:

            ...

            ANSWER

            Answered 2022-Feb-03 at 09:18

            The Conda package nco refers to the commandline tool. The Python bindings to nco are provided by the Conda package pynco. So, you want

            Source https://stackoverflow.com/questions/70968241

            QUESTION

            Cannot set up a conda environment with python 3.10
            Asked 2022-Jan-31 at 10:35

            I am trying to set up a conda environment with python 3.10 installed. For some reason, no install commands for additional packages are working. For example, if I run conda install pandas, I get the error:

            ...

            ANSWER

            Answered 2021-Oct-08 at 08:42

            Thats a bug in conda, you can read more about it here: https://github.com/conda/conda/issues/10969

            Right now there is a PR to fix it but its not a released version. For now, just stick with

            Source https://stackoverflow.com/questions/69481608

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            You can download it from GitHub.

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