Welcome to the cloud file system utilities!
cloud-fs is a generalized file-system handler that will dynamically determine if files are local or on the cloud (currently AWS) and perform basic file-systm operations.
Installing cloud_fs
Option 1: Install from PIP or Conda (recommended for analysts):
- Create a new environment:
conda create --name cloud_fs python=3.7
- Activate directory:
conda activate cloud_fs
- Install cloud_fs:
pip install NREL-cloud_fs or
conda install nrel-cloud_fs --channel=nrel
Option 2: Clone repo (recommended for developers)
from home dir, git clone git@github.com:NREL/cloud_fs.git
- Create cloud_fs environment and install package
Create a conda env: conda create -n cloud_fs
Run the command: conda activate cloud_fs
cd into the repo cloned in 1.
prior to running pip below, make sure the branch is correct (install from main!)
Install cloud_fs and its dependencies by running: pip install . (or pip install -e . if running a dev branch or working on the source code)
Metadata
Release files for NREL-cloud-fs 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| NREL-cloud_fs-0.0.8.tar.gz | 6.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| NREL_cloud_fs-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.8 kB
Release files / NREL-cloud_fs-0.0.8.tar.gz
| Download URL | NREL-cloud_fs-0.0.8.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / NREL_cloud_fs-0.0.8-py3-none-any.whl
| Download URL | NREL_cloud_fs-0.0.8-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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