trustworthysearch-demo | Demo of the TrustworthySearch API

by Trustworthy-AI Python Version: Current License: Apache-2.0

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kandi X-RAY | trustworthysearch-demo Summary

trustworthysearch-demo is a Python library typically used in Manufacturing, Utilities, Automotive applications. trustworthysearch-demo 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.

The TrustworthySearch API is an efficient risk analysis service for analyzing autonomous vehicle (AV) technologies. The service acts as an optimization layer on top of simulation by choosing which scenarios to run, providing statistical coverage over failure modes, and prioritizing failures by likelihood. Our algorithms efficiently generate useful data and actionable insights regarding safety. Most importantly, TrustworthySearch interacts with AV systems in a black-box manner, preserving the integrity and confidentiality of the software under test.

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trustworthysearch-demo has a low active ecosystem.

It has 13 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

trustworthysearch-demo has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of trustworthysearch-demo is current.

Quality

trustworthysearch-demo has 0 bugs and 0 code smells.

Security

trustworthysearch-demo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

trustworthysearch-demo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

trustworthysearch-demo is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

trustworthysearch-demo 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.

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

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trustworthysearch-demo Key Features

No Key Features are available at this moment for trustworthysearch-demo.

trustworthysearch-demo Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install trustworthysearch-demo

This code provides an example of a client which acts as a broker to local simulation workers. The broker receives jobs from the search server, load balances amongst workers, and then sends results back to the search server asynchronously. This demo is designed for small-scale experimentation to see how the TrustworthySearch API works. The server it communicates with at https://trial.trustworthy.ai contains limited versions of our search algorithms and will cap jobs at 100 simulations. Note: this is solely an API endpoint and will not show anything useful if you visit it in a regular browser.
demo.pdf contains an illustration of how integration of the TrustworthySearch API works. It shows a visualization of using simple communication (no broker) as well as brokered communication to solve the problem.
requirements.txt contains all of the 3rd-party python packages needed.
trustworthy_search.proto defines the message types used for communication between search server and broker, as well as between broker and simulation worker.
python/run_codegen.py compiles the trustworthy_search.proto file into python code.
python/broker.py implements a load balancing broker.
python/worker.py implements simple simulation workers that communicate locally with brokers.
python/job_killer.py allows you to kill jobs early.

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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