Proposed refactor

The output produced by the standalone tests is unfiltered and produces 1000's of lines due to the progress bar being turned on. This is not needed for 99% - 100% of tests. For regular tests this is not an issue since the tests get batched and the output is not printed in verbose.

Motivation

Easier to read and scroll the test output logs

Pitch

Set

`Tra

🙌🙌🙌🙌🙌

MLflow Roadmap Item

This is an MLflow Roadmap item that has been prioritized by the MLflow maintainers. We're seeking help with the implementation of roadmap items tagged with the help wanted label.

For requirements clarifications and implementation questions, or to request a PR review, please tag @BenWilson2 in your communications related to this issue.

Proposal Summary

Includ

Is there an existing issue for this?

• I have searched the existing issues

Environment

- Milvus version: latest
- Deployment mode(standalone or cluster):both
- SDK version(e.g. pymilvus v2.0.0rc2): latest
- OS(Ubuntu or CentOS): 
- CPU/Memory: 
- GPU: 
- Others:

Current Behavior

1 Good
res = collection.search(vectors[:nq], "float_vector", default_sear

Bug Report

Got error message on an empty directory, shouldn't it show nothing? like ls command.

Description

![image](htt

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

Specs

• Leon version: latest
• OS (or browser) version: Fedora 30
• Node.js version: 10.16.3
• Complete "npm run check" output:

➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee

With a config like this

{
    "METAFLOW_DATASTORE_SYSROOT_S3": "s3://mf-test/metaflow/",
}

(note a slash after METAFLOW_DATASTORE_SYSROOT_S3)

metaflow.S3(run=self).put* produces double-slashes like here:

s3://mf-test/metaflow//data/DataLoader/1630978962283843/month=01/data.parquet

The trailing slash in the config shouldn't make a difference