doppelganger | A tool to mirror GitHub repositories | Continuous Deployment library
kandi X-RAY | doppelganger Summary
kandi X-RAY | doppelganger Summary
A tool to create and maintain mirrors of GitHub repositories. Once the repostiory is mirrored a webhook is set up, so next time you push to GitHub master mirror will be updated. You may also trigger an update manually by clicking "Synchronize repository".
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Top functions reviewed by kandi - BETA
- Basic example of github
- ReadPrivateRSAKey reads an RSA private key from disk
- NewGithubRepositories retrieves Github repositories from context .
- CreatePrivateRSAKey creates an RSA private key
- create repository from GithubRepository
- API hook URL
- init validates the command line flags .
- Get returns a Repository by name
- commitFromGithub creates a Commit from a GithubCommit .
- AuthorizedRSAKey serializes a private key
doppelganger Key Features
doppelganger Examples and Code Snippets
Lines of Code : 11License : Weak Copyleft (MPL-2.0)
Copygit clone git@:example/project
git add remote mirror git@:example/project
# Make your local master using mirror as an upstream:
git branch --unset-upstream master
git branch --set-upstream master mirror/master
git reset master mirror/master
# Swit # Download and compile
go get github.com/andrewslotin/doppelganger
# Current working dir should have templates/ and assets/ folders
cd $GOPATH/src/github.com/andrewslotin/doppelganger
# Run it
DOPPELGANGER_GITHUB_TOKEN= $GOPATH/bin/doppelganger
docker pull andrewslotin/doppelganger
docker run -d --name doppelganger -e DOPPELGANGER_GITHUB_TOKEN= -v /home/git:/var/mirrors -p 8081:8081 andrewslotin/doppelganger
Community Discussions
Trending Discussions on doppelganger
QUESTION
Since R-Version 4.1.0 the pipe |> is in the stable version. When passing the lhs into an argument other than the first the Examples of the manual show:
ANSWER
Answered 2021-Jun-07 at 09:16The main issue with the bizarro pipe is that it creates hidden side-effects and makes it easier to create subtle bugs. It decreases code maintainability.
The issue, of course, is the persistent existence of . makes it all too easy to accidentally refer to this value later down the line: its presence masks mistakes if you at some point “forget” to assign to it and think you did. It’s easy to dismiss this possibility but such errors are fairly common and, worse, very non-obvious: you won’t get an error message, you’ll just get a wrong result. By contrast, if you forget the pipe symbol somewhere, you’ll get an immediate error message.
Worse, the bizarro pipe hides this error-prone side-effect in two different ways. First, because it makes the assignment non-obvious. I’ve argued previously that -> assignment shouldn’t be used since it hides a side-effect, and side-effects should be made syntactically obvious (the side-effect here is assignment, and it should happen where it’s immediately spotted: in the first column of the expression, not hidden away at its end). This is a fundamental objection to the use of -> (or any other attempt to mask side-effects), not limited to the bizarro pipe.
And because . is by default hidden (from ls and from the inspector pane in IDEs), this makes it even easier to accidentally depend on it.
Therefore, if you want to assign to a value instead of using a pipe, just do that. But:
- Perform right-to-left assignment, i.e. use
name = valueorname <- value, notvalue -> name. - Use a descriptive name.
I can’t stress enough that this is an actual source of subtle bugs — don’t underestimate it!
Another issue is that its use breaks editor support for auto-formatting code. This is a “solvable issue” in some IDEs via plugins but the solution, as it were, solves an issue that should not even exist. To clarify what I mean, if you’re using the bizarro pipe you’d presumably want a hanging indent, i.e. something along these lines:
QUESTION
I'm trying to build a basic GAN to familiarise myself with Pytorch. I have some (limited) experience with Keras, but since I'm bound to do a larger project in Pytorch, I wanted to explore first using 'basic' networks.
I'm using Pytorch Lightning. I think I've added all necessary components. I tried passing some noise through the generator and the discriminator separately, and I think the output has the expected shape. Nonetheless, I get a runtime error when I try to train the GAN (full traceback below):
RuntimeError: mat1 and mat2 shapes cannot be multiplied (7x9 and 25x1)
I noticed that 7 is the size of the batch (by printing out the batch dimensions), even though I specified batch_size to be 64. Other than that, quite honestly, I don't know where to begin: the error traceback doesn't help me.
Chances are, I made multiple mistakes. However, I'm hoping some of you will be able to spot the current error from the code, since the multiplication error seems to point towards a dimensionality problem somewhere. Here's the code.
...ANSWER
Answered 2021-Apr-18 at 14:32This multiplication problem comes from the DoppelDiscriminator. There is a linear layer
QUESTION
I'm working on a solo project which I published to PyPi. Now that I've installed it with pip rather than using it from my git repo, what is the best-practice for continuing development ?
I've tried two approaches till now:
- The naivete: edit scripts in
site-packagesfolder, test them, once finalized, copy to repo and push( and build, publish etc) - The doppelganger: make a (sparse) repo to track the scripts in
site packages, push whenever. Once ready to publish, go to the folder with the full repo, pull and then build>publish.
Now, 1. is too clunky, while 2. leaves me thoroughly unsatisfied. I was thinking of using bash tricks to streamline 2., but I thought that the sages here might have something much more streamlined, so I ask.
Thank You!
...ANSWER
Answered 2020-Nov-18 at 13:12For development you will still want to get and edit source code from the git repository, not from PyPi.
For example, if your git repository lived under .../src/myproject/, I would run pip install . inside myproject. This emulates an installation in the exact same way that pip install myproject=={version} would if it downloaded from PyPi. (copies the code to site-packages)
Even better for development is pip install -e ., which sets a symbolic link from site-packages back to your source directory. So while it looks like your project is installed in your venv, it's actually just using the source code from your git repo folder.
In general the downloads from PyPi are for users of your script, not contributors.
Let me know in the comments if you want me to expand on any of this.
QUESTION
I have two data frames.
df1 includes 4 men and 4 women with their weight and height (inches).
...ANSWER
Answered 2020-Apr-12 at 08:35First is necessary distinguish men and women, here is used new column with repeat 4 times m and f. Then is used DataFrame.merge with outer join by new column for all combinations and created new columns for differences, last column is sum of them. then sorting by 3 columns by DataFrame.sort_values, so first row per groups by A and g are filtered by DataFrame.drop_duplicates:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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