If I run trim

echo [[Column1]; ["  Value1   a lot of spaces  "] [Value3]] | str trim

it trims only "wrong" withe spaced at the beginning and at the end

───┬──────────────────────────
 # │         Column1
───┼──────────────────────────
 0 │ Value1   a lot of spaces
 1 │ Value3
───┴──────────────────────────

It it would be great a complete white spaces cleaning

Is your proposal related to a problem?

Replication is currently slow.

Describe the solution you'd like

tools bucket replicate could upload a few objects at a time instead of one by one

Describe alternatives you've considered

Copying the objects with some other tool but tools bucket replicate is way too convenient because you can use two completely different object st

(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

What example does this report relate to?

with-Apollo

What version of Next.js are you using?

10.0.0

What version of Node.js are you using?

10.14.2

What browser are you using?

chrome

What operating system are you using?

macOS

How are you deploying your application?

Other platform

Describe the Bug

The Apollo client query response is s

Errors:
126. new Intl.NumberFormat is not supposed to get passed a single object as param. The first param must be a string and the second param can be an object.
135. Spelling error ('tis' should be 'this').

Suggestion:
86. Needs to be more explicit by calling the function in the example. Calling getName() with any falsy value would not set hasName to true with your correct answer.

Description
We have to continuously push for quality, thus we always need to improve our testing and test coverage. Any improvement of testing is a great contribution to jina.

If you have no idea how to get started on this, here there are some ideas that could be good to have.

• Increase coverage
  Checking the reports on `https://codecov.io/gh/jina-ai/jin

Why you need it?

目前 1.4.2 版本 使用consul做配置中心时， 读取配置是从consul 根目录读取的，还不支持从自定义的目录读取配置，
这让配置中心的数据难以归类管理。

How it could be?

希望能够支持自定义配置目录

Other related information

Add any other context or screenshots about the feature request here.

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.