DORA (Dataflow-Oriented Robotic Application) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
This PR contains the following updates:
1.0.83
->1.0.85
Release Notes
dtolnay/proc-macro2 (proc-macro2)
### [`v1.0.85`](https://togithub.com/dtolnay/proc-macro2/releases/tag/1.0.85) [Compare Source](https://togithub.com/dtolnay/proc-macro2/compare/1.0.84...1.0.85) - Mark some tests as only for 64-bit targets ([#463](https://togithub.com/dtolnay/proc-macro2/issues/463)) ### [`v1.0.84`](https://togithub.com/dtolnay/proc-macro2/releases/tag/1.0.84) [Compare Source](https://togithub.com/dtolnay/proc-macro2/compare/1.0.83...1.0.84) - Documentation improvements ([#455](https://togithub.com/dtolnay/proc-macro2/issues/455), thanks [@CensoredUsername](https://togithub.com/CensoredUsername))Configuration
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