zero.sh | Radically simple personal bootstrapping tool for macOS | Configuration Management library

by zero-sh Swift Version: 0.6.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | zero.sh Summary

zero.sh is a Swift library typically used in Devops, Configuration Management applications. zero.sh has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This lets you to restore a machine without having to deal with the mess that was the state of a previous installation, or painstakingly babysit the process step-by-step. Unlike other solutions, this approach is extremely simple. It's just a small tool with a pre-defined directory structure. No additional configuration files or complex commands are necessary.

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Support

zero.sh has a low active ecosystem.

It has 235 star(s) with 10 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 9 have been closed. On average issues are closed in 28 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of zero.sh is 0.6.0

Quality

zero.sh has 0 bugs and 0 code smells.

Security

zero.sh has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

zero.sh code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

zero.sh is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

zero.sh releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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zero.sh Key Features

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zero.sh Examples and Code Snippets

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Community Discussions

Trending Discussions on zero.sh

TypeError: 'builtin_function_or_method' object is not subscriptable for python

Why does a Java Tensorflow session seem to reset state when a Python Tensorflow session does not?

Reshape arrays from MNIST

QUESTION

TypeError: 'builtin_function_or_method' object is not subscriptable for python

Asked 2019-Oct-06 at 12:17

I'm writing some code to Medial Axis Transform and got some type error for my array.

...

ANSWER

Answered 2019-Oct-06 at 08:56

I think you need to change currentF = fZero.copy to currentF = fZero.copy(). You're setting currentF to the function copy, not invoking copy() and setting currentF to the result.

Source https://stackoverflow.com/questions/58255621

QUESTION

Why does a Java Tensorflow session seem to reset state when a Python Tensorflow session does not?

Asked 2018-Jan-07 at 01:48

I am trying to build and evaluate TensorFlow Graphs via the 1.4 Java API, on Linux. I have noticed that the Java API seems to reset the value of operation output tensors each time a call to Session.run() is made. This behavior does not seem to match what happens in Python. My eventual question (see below for details) is how to avoid this apparent behavior?

Python Example

By way of example here is Python code (also using the 1.4 API) that increments the value in a Scalar Tensor.

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ANSWER

Answered 2018-Jan-07 at 01:48

In your sample, xUpdateOp has x as its input, and x is the output of the operation that assigns zero to the variable. Thus, every time xUpdateOp is run, it is first assigning zero to the variable.

A slight tweak to your code will result in 4.0:

Source https://stackoverflow.com/questions/48118747

QUESTION

Reshape arrays from MNIST

Asked 2017-Dec-08 at 10:27

I am working with the mnist dataset and want to plot some numbers at once. This dataset provides me arrays with the shape (784, ) and represent an image with 28x28 pixels.

Let's say I want to draw 4 numbers in a 2x2 grid. This grid should have the shape (2*28, 2*28). This is the result I want:

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ANSWER

Answered 2017-Dec-08 at 10:27

The problem is with the way you are stacking the arrays, and then reshaping. Numpy reshapes arrays by going row-wise. The following code achieves what you want:

Source https://stackoverflow.com/questions/47711559

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