https://github.com/PyTorchLightning/pytorch-lightning/blob/ae14fca8b7ff0e1637f916a18097cb0557ff4ad2/setup.cfg#L84-L87

Each of these should be removed and format fixed in separate PRs
Context: #5739

Tracker:

• E203
• E231
• W504: Just remove, should not need formatting changes

Contributors are welcome 🤗

Currently, when entering epic mode the README is frozen in the last level of the tower. When you're trying to fine-tune the score for a level other than the last one, it would be helpful if we had the README for that level available. The proposal is that when entering epic mode, the README is updated with all levels, one following the other.

Example:

# Starbolt - beginner

Willingness to contribute

• Yes. I can contribute this feature independently.

Proposal Summary

By default, artifacts are stored to ./mlruns (hard coded constant: DEFAULT_LOCAL_FILE_AND_ARTIFACT_PATH). The idea is to give the possibility to change this behaviour by setting an env var.

The same mechanism exists but not generalized:

_TRACKING_DIR_ENV_VAR = "MLFLOW_TRAC

Dear DVC team,

It would be great if one could create a snapshot of a DVC remote.

In academia, this makes sense to share a specific revision of data and models used in a scientific paper.

Using a live DVC remote (S3, HTTP, ...) isn't suitable here because one cannot assign a DOI (Wikipedia) to it.

The basic implementation co

Documentation Is:

• Missing
• Needed
• Confusing
• Not Sure?

E

/tmp/ has been hard coded in some instances

This will be replaced with https://docs.python.org/3/library/tempfile.html which has been well implemented in some instances in the code.

2019/12/02 和Yi Wang沟通交流考虑SQLFLOW可以支持如下的特性

一、基础功能：好用的工具需要一个更加简易友好的界面，让业务开发/分析更加简单
1)设计分析类工具，提供自动联想输入、快速语法、常见语义错误，提升用户体验
应用场景：提供IDE的自动联想功能，提高开发效率；语法和基本语义提前检查，避免提交到后台，执行较长时间后报错
2)大数据量时时间较长，建议提供任务(job)管理、允许用户了解数据执行的状态、监控进度、提供动态调试、watch能力，方便用户感知和调优
应用场景：耗时任务可以快速了解整体进度，提供一些中间的过程信息、耗时等，方便用户进行调优,优化开发
3) 安全权限、用户管理、
应用场景：增加新的数据分析人员、用户权