MacGPG2 | GnuPG 2 for macOS

by GPGTools Shell Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | MacGPG2 Summary

MacGPG2 is a Shell library. MacGPG2 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

GnuPG 2 for macOS

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Quality

Security

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Support

MacGPG2 has a low active ecosystem.

It has 446 star(s) with 70 fork(s). There are 46 watchers for this library.

It had no major release in the last 6 months.

MacGPG2 has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of MacGPG2 is current.

Quality

MacGPG2 has 0 bugs and 0 code smells.

Security

MacGPG2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

MacGPG2 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MacGPG2 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

MacGPG2 releases are not available. You will need to build from source code and install.

It has 49 lines of code, 0 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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MacGPG2 Key Features

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MacGPG2 Examples and Code Snippets

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Community Discussions

Trending Discussions on MacGPG2

Using rvm bundle install doesn't install rails

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?

Postgres CLI error: database "dev" does not exist on trying to run any psql command

Can not import pygame in Jupyter notebook even though it is installed correctly

Unable to install various R packages probably after upgrading to Mac OS Catalina

QUESTION

Using rvm bundle install doesn't install rails

Asked 2022-Mar-16 at 09:24

I'm freshly using rvm for running a legacy project.

I installed rvm fine. Running which ruby gives the correct rvm version:

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ANSWER

Answered 2022-Mar-15 at 20:26

I'll bet your RVM isn't set up correctly and /usr/bin/ appears in your PATH before RVM's bin directory. Run echo $PATH to confirm.

If so, back up your dotfiles for safety and run rvm get head --auto and it should put your PATH right. Logout and log back in or source your dotfiles (source ~/.bash_profile or whatever) and try again.

Source https://stackoverflow.com/questions/71457418

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:

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
"Python Package Management: Using Conda": https://spark.apache.org/docs/latest/api/python/user_guide/python_packaging.html
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
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:

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

Postgres CLI error: database "dev" does not exist on trying to run any psql command

Asked 2021-Dec-21 at 00:13

I install postgres version 14 using homebrew.

...

ANSWER

Answered 2021-Dec-20 at 21:34

You must be using the 'dev' name in your connection string? Can you show us that? The default db in postgres is called postgres there is no dev database.

When connecting to a fresh install of Postgres entering psql into the command line actually executes something like

Source https://stackoverflow.com/questions/70426012

QUESTION

Can not import pygame in Jupyter notebook even though it is installed correctly

Asked 2021-Nov-03 at 15:52

I want to install pygame on my MacBook. I installed it with the command

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ANSWER

Answered 2021-Nov-03 at 15:52

The answer turned out that I had to use python -m pip install -U pygame instead of pip install pygame so that Jupyter can find the module. I honestly do not know what is the difference, so maybe somebody can elaborate, but that's the solution for my problem.

Source https://stackoverflow.com/questions/69825188

QUESTION

Unable to install various R packages probably after upgrading to Mac OS Catalina

Asked 2020-Jan-07 at 16:54

Have been googling for days now.. Updated Xcode including command line tools as well, I've tried various SDKs, but unsuccessfully. Anyone out there who has found a solution yet? Any chance that the error is due to the fact that apple does't support 32bit programs anymore which results in various R packages not working..?

Thanks in advance!

My log from rstudio:

...

ANSWER

Answered 2020-Jan-07 at 16:54

> mkdir -p ~/opt/src
> cd ~/opt/src
> curl -O http://mirror.us-midwest-1.nexcess.net/gnu/gsl/gsl-2.6.tar.gz
> tar zxf gsl-2.6.tar.gz
> cd gsl-2.6
> ./configure --prefix=$HOME/opt/usr/local
> make
> make install

> export CFLAGS="-I$HOME/opt/usr/local/include"
> export LDFLAGS="-L$HOME/opt/usr/local/lib -lgsl -lgslcblas" 
> R 

R version 3.6.1 (2019-07-05) -- "Action of the Toes"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)
...
...
> install.packages("gsl")
...
...
...
There is a binary version available but the source version is later:
      binary source needs_compilation
gsl 1.9-10.3  2.1-6              TRUE

Do you want to install from sources the package which needs compilation? (Yes/no/cancel) yes
...
...
> install.packages("copula")
> library(copula)
>

Source https://stackoverflow.com/questions/59630593

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Vulnerabilities

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