cistern | terminal UI for Unix to monitor Continuous Integration | Continous Integration library

by nbedos Go Version: 0.2.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | cistern Summary

cistern is a Go library typically used in Devops, Continous Integration, Jenkin applications. cistern has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A top-like utility for Unix to monitor Continuous Integration pipelines from the command line. Current integrations include GitLab, Azure DevOps, Travis CI, AppVeyor and CircleCI. Think of cistern as the receptacle that holds the results of your CI pipelines. cistern stands for Continous Integration Services Terminal for Unix.

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Support

cistern has a low active ecosystem.

It has 159 star(s) with 7 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 8 open issues and 17 have been closed. On average issues are closed in 7 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cistern is 0.2.0

Quality

cistern has 0 bugs and 0 code smells.

Security

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

cistern code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cistern is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

cistern releases are available to install and integrate.

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

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cistern Key Features

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cistern Examples and Code Snippets

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Community Discussions

Trending Discussions on cistern

Setting the newly created Material float value with material.SetFloat

Apply css just to a part of the image

Comparing the same variable against itself?

Best algorithm for time series prediction?

QUESTION

Setting the newly created Material float value with material.SetFloat

Asked 2021-Jun-09 at 16:23

In my program, I want to spawn 3D Objects of Cisterns filled with water to a certain level.

I've created a Shader that has a Fill float property which indicates the water level in the water tank. I assign that shader to another 3D Object which is inside the Cistern object (Cistern object has Glass material, Water object has Water material with special shader).

Here are the Shader Graph screenshots

Here how it looks like (even though the water level is wrong) -> Water tanks

...

ANSWER

Answered 2021-Jun-09 at 16:23

As guessed you are using the wrong name.

Note that the name of the property is Fill but that's only the display name!

What you want to use in code is what is configured as Reference! See Shader Properties

Reference Name: The internal name used for the property inside the shader

and further

NOTE: If you overwrite the Reference Name parameter be aware of the following conditions:

If your Reference Name does not begin with an underscore, one will be automatically appended.

If your Reference Name contains any characters which are unsupported in HLSL they will be removed.

You can revert to the default Reference Name by right clicking on it and selecting Reset Reference

Currently yours is

Source https://stackoverflow.com/questions/67906994

QUESTION

Apply css just to a part of the image

Asked 2021-May-12 at 19:27

I want to apply the following css to just a part of an image, let's say 50% of the image, is there any way to do that?

...

ANSWER

Answered 2021-May-12 at 19:26

You can copy your img's style to a div. Then reduce the size accordingly.

Source https://stackoverflow.com/questions/67509448

QUESTION

Comparing the same variable against itself?

Asked 2021-Mar-11 at 05:49

thank you in advance for reading and taking the time to troubleshoot this with me!

Let me first start off with the important stuff:

Target Device:

Raspberry Pi 4B
Electronic-Salon Relay Hat

Development Environment:

macOS Catalina
PyCharm
Python 2.7.10

At my home I have a spring that serves my home with water. The solution I came up with to prevent dirty water caused by bad rainy weather loosening up the ground soil from entering my cistern is closing a valve and waiting for about 12 hours for the water to clear back up. Then I open the valve and clear water flows into my cistern providing my home with water, and that solution works really well.

I recently came up with the conclusion that I want to automate this process with a normally open solenoid. I purchased a Raspberry Pi, a Relay Hat, and an Ambient Weather weather station.

What I'm looking to do with Python 2.7.10 is check the same variable against itself after an allotted time. In this example, I'm checking the relative barometric pressure against itself and I'm wanting to look for a significant negative change in that variable.

i.e "What does variable A have? Okay, now wait 3 seconds. What does A have now? How much has it changed?"

This is what I've bodged together so far, how can I improve? Thank you.

At first I was thinking maybe I should plot a chart with the data and compare the difference between the two plot points, but I wasn't sure how to use Matplotlib.

...

ANSWER

Answered 2021-Mar-11 at 05:48

The general design pattern for this is:

Source https://stackoverflow.com/questions/66576840

QUESTION

Best algorithm for time series prediction?

Asked 2020-Oct-26 at 21:59

I would like to ask you some suggestions about a time series prediction problem. In particular, I have to predict on a daily basis the total water demand in a certain area, creating a model based on 4 CVSs files containing:

water demand in aggregated form (time series with daily granularity, 2 years data)
amount of water entering the area's cistern (time series with daily granularity, 2 years data)
amount of water leaving the area's cistern (time series with daily granularity, 2 years data)
water request from 4,000 measurements points across the area (time series with daily granularity, 2 years data).

In your opinion, what is the best model for having a good prediction of the water demand in the area, using the available data and features? I can only think of LSTMs or MLP, I don't know if something like ARIMA or (SARIMA) could be useful in this case, seeing that I have many features but not many days. Thank you in advance for you help :)

...

ANSWER

Answered 2020-Oct-26 at 21:59

Forecasting is inevitably a domain-specific problem because you can often make better decisions about model and methods when you know something about the system or process you are trying to forecast.

There are quite a few academic papers on forecasting domestic water demand which you could look at if you have access:

E.g.

I'm not an expert in this domain so you should probably wait for someone who is to answer the question but I think using an auto-regressive model (e.g. ARIMA), as you have suggested, is a good start because demand is essentially due to aggregate human activity which is inherently driven by daily / weekly routines, and seasonal effects.

There are various routines to fit such models to data. Jason Brownlee has a nice tutorial here using Python's statsmodels.tsa package.

You could also see what people have used for residential energy consumption forecasting as the problem is probably very similar to water demand forecasting.

Source https://stackoverflow.com/questions/64544725

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