FY-4 | Codes related to FengYun-4 data

by zxdawn Python Version: Current License: GPL-3.0

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

kandi X-RAY | FY-4 Summary

FY-4 is a Python library. FY-4 has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However FY-4 build file is not available. You can download it from GitHub.

Codes related to FengYun-4 (FY-4) data

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Quality

Security

License

Reuse

Support

FY-4 has a low active ecosystem.

It has 16 star(s) with 12 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 52 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FY-4 is current.

Quality

FY-4 has no bugs reported.

Security

FY-4 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

FY-4 is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

FY-4 releases are not available. You will need to build from source code and install.

FY-4 has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed FY-4 and discovered the below as its top functions. This is intended to give you an instant insight into FY-4 implemented functionality, and help decide if they suit your requirements.

Read a Dataset
Convert a dn
Calibrate data array

Get all kandi verified functions for this library.

FY-4 Key Features

No Key Features are available at this moment for FY-4.

FY-4 Examples and Code Snippets

No Code Snippets are available at this moment for FY-4.

Community Discussions

Trending Discussions on FY-4

PythonVirtualenvOperator using airflow module fails to execute with AttributeError: module 'airflow' has no attribute 'utils'

Error installing apache-airflow: "Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly"

(Cookiecutter-django) Docker deployment on Raspberry Pi 4: Why does the build fail?

swift4: none of textfields in my scene are editable

Service error in memcache with Java Google App Engine Standard at random time periods

QUESTION

PythonVirtualenvOperator using airflow module fails to execute with AttributeError: module 'airflow' has no attribute 'utils'

Asked 2021-Apr-19 at 16:33

I have Airflow deployed in virtual env and in case I try to execute PythonVirtualenvOperator with import of the Airflow module (to get Variables for example) it gives me the AttributeError. Guess I do not fully understand how Airflow executes VirtualenvOperator, and therefore what to do to overcome it, so any suggestions and insights will be highly appreciated

My test DAG code

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ANSWER

Answered 2021-Apr-19 at 16:29

It seems that you are confusing the use-cases for PythonVirtualenvOperator and PythonOperator.

If you simply want to run a Python callable in a task (callable_virtualenv() in your case) you can use PythonOperator. In this case, it does not matter if you installed Airflow in a virtual environment, system wide, or using Docker.

What happens in your code is the following: PythonVirtualenvOperator creates another virtual environment (which is completely unrelated to the one in which you run Airflow), installs Airflow into it, and tries to import Variable. But this another Airflow installation is not configured and that is why you get those exceptions. You could set the AIRFLOW_HOME environment variable for this second Airflow installation to the same directory as used by the first Airflow installation, and this should actually work, but it looks like an overkill to me.

So, what you can do is install colorama into the same environment in which you installed Airflow and replace PythonVirtualenvOperator by PythonOperator.

BTW, those print() inside the callable would be redirected into a log file and not printed to terminal, so it probably does not make much sense to use colorama with them.

Source https://stackoverflow.com/questions/67165003

QUESTION

Error installing apache-airflow: "Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly"

Asked 2021-Mar-04 at 00:26

I'm trying to find some help installing apache-airflow.

I am on MacOS 10.15.7, Python version 3.8.2, and I keep getting an error:

ERROR: Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly

I have tried using earlier versions of pip and python to no avail.

Does anyone know what I can do in this situation? I have looked at all the stack overflow questions that popped up with these search terms but none have presented a solution that worked for me so far.

Any help would be much appreciated.

...

ANSWER

Answered 2021-Mar-04 at 00:26

I am on MacOS 10.15.7 Python version 3.8.2

I'm guessing you used the Python 3 bundled/pre-installed with macOS Catalina.

Source https://stackoverflow.com/questions/66430674

QUESTION

(Cookiecutter-django) Docker deployment on Raspberry Pi 4: Why does the build fail?

Asked 2020-May-15 at 18:52

I am trying to deploy a small Django app dockerized using cookiecutter-django on a Raspberry Pi 4 running Rasbian (Linux raspberrypi 4.19.97-v7l+). I would say that my setup is pretty vanilla and am hoping I am not the only one who ran into this.

cookiecutter==1.7.2 django==3.0.5

The build fails and I have tried to install:

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ANSWER

Answered 2020-May-15 at 18:52

Thing is python docker container 3.8 slim-buster should have libffi-dev installed

you can still check if following helps. By adding additional line to dockerfile

Source https://stackoverflow.com/questions/61808402

QUESTION

swift4: none of textfields in my scene are editable

Asked 2019-Apr-30 at 03:57

I have a Scene in my Storyboard which all of its field are not editable during application run-time.

Note. I've checked that all text field and all its parent userInteractionEnabled be true and due to this question (My TextField is not editable) but it did not help. I have other scenes like this that work without using any delegates or such things and their textfields are still editable.

I did comment out everything inside its related view controller however it did not change this situation. I've brought its XML code here for your reference may be you can find anything which lead to this situation.

Changes which I made to my Scene was: Puting all items in a nested view inside a StackView and some if its constraints + migrating from Swift3 to Swift4.

...

ANSWER

Answered 2019-Apr-30 at 03:57

I have pasted your storyboard in my Test project and tried debugging this issue. It is found that when the view between ScrollView and StackView ( highlighted in RED in below screenshot) is removed and StackView is directly placed inside Container ScrollView, the textFields become clickable.

Your storyboard as given:

After removing view inside Container Scroll view and moving StackView directly under Container ScrollView.

Simulator screenshot after removing that middle view

Source https://stackoverflow.com/questions/55904212

QUESTION

Service error in memcache with Java Google App Engine Standard at random time periods

Asked 2018-Mar-03 at 20:38

In the past month, our Java Google App Engine Standard Web App started getting strange errors at seemingly random times (see stack trace below). Around this time we made the following changes:

Switch from Java7 runtime to Java8/Jetty9 runtime (which allowed us more flexibility in linking to a 3rd party payments library).
Switch to deploying with the Google Cloud SDK, instead of the separate Google App Engine SDK.

Yesterday we experienced 3 periods with errors. One of these occurred from 0530PST to about 0600PST on Feb 28. Suddenly all attempts to load from the database started failing:

...

ANSWER

Answered 2018-Mar-03 at 20:38

IIRC there were some changes in the way Objectify uses memcache between 4.0b2 and 4.1. While it seems unlikely, it's possible that the usage pattern may tickle some sort of underlying issue in memcache.

4.0b2 is really old - more than 4 years - and there have been a large number of issues fixed since then. It would be wise to migrate up to the current version.

Source https://stackoverflow.com/questions/49058798

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install FY-4

You can download it from GitHub.
You can use FY-4 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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