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Victor Machado
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Merge branch 'main' into issue-103-test
2 parents 4895190 + 3514a69 commit 0c44f62

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Diff for: .github/workflows/pypi-release-publish.yml

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# separate terms of service, privacy policy, and support
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# documentation.
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name: Upload as PyPi package
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run-name: Publish froster in PyPi and install in Ubuntu-latest
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name: PyPi Release Publish
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run-name: PyPi Release Publish
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Diff for: .github/workflows/test-credentials.yml

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name: Test "froster credentials" command
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name: Test "froster credentials"
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run-name: Test "froster credentials" command
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run-name: Test "froster credentials"
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on: [push, pull_request]
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Diff for: README.md

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![Downloads](https://img.shields.io/pypi/dm/froster.svg)
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![License](https://img.shields.io/github/license/dirkpetersen/froster)
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![Python Version](https://img.shields.io/pypi/pyversions/froster.svg)
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![Workflow Status](https://github.com/dirkpetersen/froster/actions/workflows/pypi-release-publish.yml/badge.svg)
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[![PyPi Release Publish](https://github.com/HPCnow/froster/actions/workflows/pypi-release-publish.yml/badge.svg)](https://github.com/HPCnow/froster/actions/workflows/pypi-release-publish.yml)
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[![Test "froster credentials"](https://github.com/HPCnow/froster/actions/workflows/test-credentials.yml/badge.svg)](https://github.com/HPCnow/froster/actions/workflows/test-credentials.yml)
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Froster is a user-friendly archiving tool for teams that move data between high-cost POSIX file systems and low-cost S3-like object storage systems. It currently supports these S3 providers: AWS, GCS, Wasabi, IDrive, Ceph, and Minio. Froster can efficiently crawl your Posix file system metadata, recommend folders for archiving, generate checksums, and upload your selections to Glacier or other S3-like storage. It can retrieve data back from the archive using a single command. Additionally, Froster can mount S3/Glacier storage inside your on-premise file system and also restore it to an AWS EC2 instance.
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Diff for: pyproject.toml

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[tool.poetry]
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name = "froster"
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version = "0.16.9"
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version = "0.16.10"
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description = "Froster is a tool for easy data transfer between local file systems and AWS S3 storage."
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authors = ["Victor Machado <[email protected]>"]
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readme = "README.md"

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