learning-power | 学习强国自动化百分百正确、瞬间答题，分值45分 | Browser Plugin library

by lisztomania-Zero Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | learning-power Summary

learning-power is a Python library typically used in Plugin, Browser Plugin applications. learning-power has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

学习强国自动化百分百正确、瞬间答题，分值45分

Support

Quality

Security

License

Reuse

Support

learning-power has a low active ecosystem.

It has 280 star(s) with 66 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 30 open issues and 43 have been closed. On average issues are closed in 24 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of learning-power is current.

Quality

learning-power has 0 bugs and 0 code smells.

Security

learning-power has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

learning-power code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

learning-power 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

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

Build file is available. You can build the component from source.

It has 3253 lines of code, 404 functions and 73 files.

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

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learning-power Key Features

No Key Features are available at this moment for learning-power.

learning-power Examples and Code Snippets

No Code Snippets are available at this moment for learning-power.

Community Discussions

Trending Discussions on learning-power

API Gateway + AWS SageMaker - AWS ARN for integration contains invalid action for integration with sagemaker

Invalid base64: "{"instances": [{"in0":[863],"in1":[882]}]}" when testing Amazon SageMaker model endpoint using the AWS CLI

QUESTION

API Gateway + AWS SageMaker - AWS ARN for integration contains invalid action for integration with sagemaker

Asked 2022-Feb-25 at 09:30

As mentioned in step-3 of this blog by AWS, I have created a role to invoke sagemaker endpoint. But, when I deploy the API to a stage, I get "AWS ARN for integration contains invalid action" and I can't deploy the stage.

blog suggested to select API Gateway under services and to keep on next, but didn't mention which policy will be attached. and also that another inline policy to invoke a specific sagemaker endpoint to be created and attached.

and as mentioned in AWS Docs:

It must also have API Gateway declared (in the role's trust relationship) as a trusted entity to assume the role.

my role also have the trust-relationshp:

What's missing in my role that led to the error?

...

ANSWER

Answered 2022-Feb-25 at 09:30

Check in all your API methods that you haven't specified "Use Action Name" for any integration request, and then left the "Action" field blank. If you do the "AWS ARN for integration contains invalid action" error message will be shown.

Source https://stackoverflow.com/questions/71255132

QUESTION

Invalid base64: "{"instances": [{"in0":[863],"in1":[882]}]}" when testing Amazon SageMaker model endpoint using the AWS CLI

Asked 2020-May-24 at 10:09

I am new to Amazon SageMaker and I am closely following this tutorial https://aws.amazon.com/blogs/machine-learning/creating-a-machine-learning-powered-rest-api-with-amazon-api-gateway-mapping-templates-and-amazon-sagemaker/ to create a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker

when I run the following command on terminal (Step 2 of the Tutorial )

...

ANSWER

Answered 2020-May-24 at 10:09

The problem is that the body contents is being expected to be base 64 encoded, try base64 encoding the body before passing it to the invoke statement.

Source https://stackoverflow.com/questions/61984217

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

Vulnerabilities

No vulnerabilities reported

Install learning-power

You can download it from GitHub.
You can use learning-power 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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