From 472975de18f94dcd9540cbf7a28942fb7c1738b5 Mon Sep 17 00:00:00 2001 From: Umut Date: Fri, 2 Sep 2022 10:06:49 +0200 Subject: [PATCH] chore: bump version to 0.8.0-rc1 --- README.md | 2 +- docs/getting-started/installing.md | 6 +++--- pyproject.toml | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 06e69eb8c..fec311248 100644 --- a/README.md +++ b/README.md @@ -51,7 +51,7 @@ pip install concrete-numpy You can get the concrete-numpy docker image by pulling the latest docker image: ```shell -docker pull zamafhe/concrete-numpy:v0.6.0 +docker pull zamafhe/concrete-numpy:v0.8.0 ``` You can find more detailed installation instructions in [installing.md](docs/getting-started/installing.md) diff --git a/docs/getting-started/installing.md b/docs/getting-started/installing.md index 4ccb8b6f2..75a8e4910 100644 --- a/docs/getting-started/installing.md +++ b/docs/getting-started/installing.md @@ -20,7 +20,7 @@ Apple silicon users must use docker installation (explained below) as there is n You can also get the **Concrete Numpy** docker image: ```shell -docker pull zamafhe/concrete-numpy:v0.6.0 +docker pull zamafhe/concrete-numpy:v0.8.0 ``` ### Starting Jupyter server @@ -28,13 +28,13 @@ docker pull zamafhe/concrete-numpy:v0.6.0 By default, the entry point of the **Concrete Numpy** docker image is a jupyter server that you can access from your browser: ```shell -docker run --rm -it -p 8888:8888 zamafhe/concrete-numpy:latest +docker run --rm -it -p 8888:8888 zamafhe/concrete-numpy:v0.8.0 ``` To save notebooks on host, you can use a local volume: ```shell -docker run --rm -it -p 8888:8888 -v /path/to/notebooks:/data zamafhe/concrete-numpy:latest +docker run --rm -it -p 8888:8888 -v /path/to/notebooks:/data zamafhe/concrete-numpy:v0.8.0 ``` ### Starting Bash session diff --git a/pyproject.toml b/pyproject.toml index 48ab7ca82..6a9cdf8c7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "concrete-numpy" -version = "0.7.0-rc1" +version = "0.8.0-rc1" description = "Concrete Numpy is an open-source library which simplifies the use of fully homomorphic encryption (FHE)." license = "BSD-3-Clause" authors = [