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left1000
left1000 commented Oct 22, 2020

I love rclone ncdu, but you know what would be a cool new sort mode? size divided by count.

That's basically it. That would then let you sort by average filesize within a folder. I keep finding myself wanting to find where I can spend the least amount of my human time looking at something to gain the largest amount of disk space. I used to think sorting by size was good enough, then while I was

seaweedfs

SeaweedFS is a distributed object store and file system to store and serve billions of files fast! Object store has O(1) disk seek, transparent cloud integration. Filer supports cross-cluster active-active replication, Kubernetes, POSIX, S3 API, encryption, Erasure Coding for warm storage, FUSE mount, Hadoop, WebDAV.

  • Updated Oct 24, 2020
  • Go
thanos
jspeedz
jspeedz commented Sep 5, 2019

What went wrong?

I'm getting deprecation warnings with openSSL encryption.

[2019/09/05 08:38:52][info] Using Encryptor::OpenSSL to encrypt the archive.
[2019/09/05 08:40:22][warn] Pipeline STDERR Messages:
[2019/09/05 08:40:22][warn] (Note: may be interleaved if multiple commands returned error messages)
[2019/09/05 08:40:22][warn]
[2019/09/05 08:40:22][warn] *** WARNING : depre

odidev
odidev commented Jul 30, 2020

I am working on adding an ARM64 job in Travis. ARM64 job is failing as docker image chubaofs/cfs-base:1.1 is not available for arm64.

Please check https://travis-ci.org/github/odidev/chubaofs/jobs/713238554 for the same.

I have built ARM64 binaries in ARM64 platform using below steps:

  • Removed -Werror flag from rocksdb Makefile as deprecated warnings are being treated as errors.
ppwwyyxx
ppwwyyxx commented Sep 17, 2020

Problem description

Be able to read public GCS files without providing credentials.

Steps/code to reproduce the problem

path = "gs://tensorflow-nightly/prod/tensorflow/release/ubuntu_16/gpu_py37_full/nightly_release/18/20190813-010608/github/tensorflow/pip_pkg/tf_nightly_gpu-1.15.0.dev20190813-cp37-cp37m-linux_x86_64.whl"

import smart_open
try:
    f = smart_open.s

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