ringsaturn

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https://github.com/ringsaturn/cnmaps-compress 测试多边形文件用有损压缩并处理成 probuf 全国数据约 20MB

> Have you tried with a pydantic dataclass? > > [pydantic-docs.helpmanual.io/usage/dataclasses](https://pydantic-docs.helpmanual.io/usage/dataclasses/) Pydantic's BaseModel is well supported by FastAPI but our team needs a naive dataclass support for pydantic's dataclass has...

> @ringsaturn you misunderstand, pydantic also has support for dataclasses as well as `BaseModel` Pydantic's dataclass has unnecessary limits compared with native dataclass. ```py from typing import Any from pydantic.dataclasses...

There are two main variables ## Hardware Sometimes the performance could be very different(maybe the CPU load caused), take tzf as example https://ringsaturn.github.io/tzf/ the performance will regression after many benchmark...

Another problem I know is that if PR isn’t opened by owner, secret token couldn’t be accessed like https://github.com/ringsaturn/tz-benchmark/pull/7

Here is a screenshot from our internal project. A few days ago we add a performance improvement feature, which is obviously.

@R11baka Hi, can I cherrypick your commit to my fork repo https://github.com/ringsaturn/wego ? PR for this https://github.com/ringsaturn/wego/pull/4

@tonybase 这块有计划吗?

Thank you for your comprehensive explanation since it's a design made years ago. I have tried that solution and it works well. Maybe we could add some warning level logs...

The original post can be found in commit history - https://github.com/fhirschmann/fhirschmann.github.io/blob/510003cfcf93f687014f3aa6de3e8221f397252e/the-ramer-douglas-peucker-algorithm.html - Preview here https://refined-github-html-preview.kidonng.workers.dev/fhirschmann/fhirschmann.github.io/raw/510003cfcf93f687014f3aa6de3e8221f397252e/the-ramer-douglas-peucker-algorithm.html