From 5816382f53d9dc9a0dd215f9327408f3e38bbdb9 Mon Sep 17 00:00:00 2001 From: Pavlos Stephanos Bekiaris <36934614+Paulocracy@users.noreply.github.com> Date: Tue, 26 Sep 2023 09:30:03 +0200 Subject: [PATCH] Bump to version 1.1.9 (#486) --- README.md | 14 +++++++------- cnapy/appdata.py | 2 +- constructor/linux/construct.yaml | 2 +- constructor/win/README.md | 4 ++-- constructor/win/construct.yaml | 4 ++-- constructor/win/post_install.bat | 2 +- docs/index.md | 4 ++-- recipes/linux/meta.yaml | 2 +- recipes/noarch/meta.yaml | 2 +- recipes/win/meta.yaml | 2 +- setup.py | 2 +- 11 files changed, 20 insertions(+), 20 deletions(-) diff --git a/README.md b/README.md index 4ac25a12..2fe01669 100644 --- a/README.md +++ b/README.md @@ -59,7 +59,7 @@ Everyone is welcome to contribute to CNApy's development. [See our contribution ## Using the Windows installer -1. Download the zipped CNApy Windows installer [from here](https://github.com/cnapy-org/CNApy/releases/download/v1.1.8/cnapy-windows-installer.zip). +1. Download the zipped CNApy Windows installer [from here](https://github.com/cnapy-org/CNApy/releases/download/v1.1.9/cnapy-windows-installer.zip). 2. Unzip the file into your desired location. You can do this by right-clicking on the file and selecting the option to extract the files. 3. In the location where you unzipped the file, click on "INSTALL_CNAPY.bat". As soon as the installation is finished, the appearing window closes and you can start CNApy either by double-clicking on the newly created CNApy desktop icon or by searching for CNApy through the task bar search. @@ -75,12 +75,12 @@ Click on the operating system you use: 1. Download Miniconda [from here](https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh). 2. Install Miniconda by double-clicking the downloaded file. If the script does not run, right-click on the file, open its settings and select the option to make it executable (alternative: run 'chmod u+x ./Miniconda3-latest-Linux-x86_64.sh' in your terminal). Follow the appearing installation instructions and remember in which folder you install Miniconda. If you already use Anaconda on your computer (for which we also directly provide a conda CNApy package, [see here](#install-cnapy-as-conda-package)), deactivate all installation options which put Miniconda to your console or system PATH to avoid possible problems. 3. Using your file manager, go to the folder where you installed Miniconda. Then, open the appearing sub-folder "condabin". -4. Download the CNApy installation assistant script [from here](https://github.com/cnapy-org/CNApy/releases/download/v1.1.8/cnapy-assistant-script.sh) into the mentioned "condabin" folder. +4. Download the CNApy installation assistant script [from here](https://github.com/cnapy-org/CNApy/releases/download/v1.1.9/cnapy-assistant-script.sh) into the mentioned "condabin" folder. 5. In the file manager, double-click on the newly downloaded installation assistant script which is called "cnapy-assistant-script.sh". If the script does not run, right-click on the file, open its settings and select the option to make it executable (alternative: run 'chmod u+x ./cnapy-assistant-script.sh' in your terminal). Wait until CNApy is downloaded and installed. 6. You can now run CNApy by executing the following two terminal instructions in the mentioned "condabin" folder: ```sh -./conda activate cnapy-1.1.8 +./conda activate cnapy-1.1.9 cnapy ``` @@ -89,12 +89,12 @@ cnapy 1. If you have a (new) Mac with an ARM processor, such as the M1 or M2, download Miniconda [from here](https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.pkg). If you have an (older) Mac with an Intel processor, download Miniconda [from here](https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.pkg). If you are unsure which processor your Mac has, click on the Apple menu in the upper-left of your screen and choose "About This Mac". 2. Install Miniconda by double-clicking the downloaded file. Follow the appearing installation instructions and remember in which folder you install Miniconda. If you already use Anaconda on your computer (for which we directly provide a conda CNApy package, [see here](#install-cnapy-as-conda-package)), deactivate all installation options which put Miniconda to your console or system PATH to avoid possible problems 3. Using Finder, go to the folder where you installed Miniconda. Then, open the appearing sub-folder "condabin". -4. Download the CNApy installation assistant script [from here](https://github.com/cnapy-org/CNApy/releases/download/v1.1.8/cnapy-assistant-script.sh) into the mentioned "condabin" folder. +4. Download the CNApy installation assistant script [from here](https://github.com/cnapy-org/CNApy/releases/download/v1.1.9/cnapy-assistant-script.sh) into the mentioned "condabin" folder. 5. In the file manager, double-click on the newly downloaded installation assistant script which is called "cnapy-installation-script.sh". If the script does not run, right-click on the file, open its settings and select the option to make it executable (alternative: run 'chmod u+x ./cnapy-assistant-script.sh' in your terminal). Wait until CNApy is downloaded and installed. 6. Open the terminal in the mentioned "condabin" folder. You can now run CNApy by executing the following two terminal instructions: ```sh -./conda activate cnapy-1.1.8 +./conda activate cnapy-1.1.9 cnapy ``` @@ -103,13 +103,13 @@ cnapy 1. Create a conda environment with all dependencies ```sh - conda create -n cnapy-1.1.8 -c Gurobi -c IBMDecisionOptimization -c conda-forge -c cnapy cnapy=1.1.8 --yes + conda create -n cnapy-1.1.9 -c Gurobi -c IBMDecisionOptimization -c conda-forge -c cnapy cnapy=1.1.9 --yes ``` 2. Activate the cnapy conda environment ```sh - conda activate cnapy-1.1.8 + conda activate cnapy-1.1.9 ``` 3. Run CNApy within you activated conda environment diff --git a/cnapy/appdata.py b/cnapy/appdata.py index 43b5667c..90623b81 100644 --- a/cnapy/appdata.py +++ b/cnapy/appdata.py @@ -31,7 +31,7 @@ class AppData(QObject): def __init__(self): QObject.__init__(self) - self.version = "cnapy-1.1.8" + self.version = "cnapy-1.1.9" self.format_version = 2 self.unsaved = False self.project = ProjectData() diff --git a/constructor/linux/construct.yaml b/constructor/linux/construct.yaml index bd24b528..8276a3bb 100644 --- a/constructor/linux/construct.yaml +++ b/constructor/linux/construct.yaml @@ -1,5 +1,5 @@ name: CNApy -version: 1.1.8 +version: 1.1.9 ignore_duplicate_files: True diff --git a/constructor/win/README.md b/constructor/win/README.md index a3bbae70..b901a1f3 100644 --- a/constructor/win/README.md +++ b/constructor/win/README.md @@ -24,12 +24,12 @@ We use conda as package manager to install CNApy. You can use [miniconda](https: 1. Create a conda environment with all dependencies ```sh - conda create -n cnapy-1.1.8 -c conda-forge -c cnapy cnapy=1.1.8 + conda create -n cnapy-1.1.9 -c conda-forge -c cnapy cnapy=1.1.9 ``` 2. Activate the cnapy conda environment ``` - conda activate cnapy-1.1.8 + conda activate cnapy-1.1.9 ``` 3. Run CNApy diff --git a/constructor/win/construct.yaml b/constructor/win/construct.yaml index 21ed6463..848cd5a1 100644 --- a/constructor/win/construct.yaml +++ b/constructor/win/construct.yaml @@ -1,5 +1,5 @@ name: CNApy -version: 1.1.8 +version: 1.1.9 ignore_duplicate_files: True @@ -10,7 +10,7 @@ channels: specs: - conda - # - cnapy=1.1.8 + # - cnapy=1.1.9 - mamba - pip - python=3.8 diff --git a/constructor/win/post_install.bat b/constructor/win/post_install.bat index a1558812..e858ee21 100644 --- a/constructor/win/post_install.bat +++ b/constructor/win/post_install.bat @@ -1,5 +1,5 @@ call %~dp0..\Scripts\activate.bat -call mamba install cnapy=1.1.8 -c cnapy -c conda-forge -v --yes +call mamba install cnapy=1.1.9 -c cnapy -c conda-forge -v --yes call pause call %~dp0..\Scripts\conda clean --all --yes diff --git a/docs/index.md b/docs/index.md index 8c87f407..617e361c 100644 --- a/docs/index.md +++ b/docs/index.md @@ -61,13 +61,13 @@ Everyone is welcome to contribute to CNApy's development. [See our contribution 3. Create a conda environment with all dependencies ```sh - conda create -n cnapy-1.1.8 -c conda-forge -c cnapy cnapy=1.1.8 + conda create -n cnapy-1.1.9 -c conda-forge -c cnapy cnapy=1.1.9 ``` 4. Activate the cnapy conda environment ```sh - conda activate cnapy-1.1.8 + conda activate cnapy-1.1.9 ``` 5. Run CNApy within you activated conda environment diff --git a/recipes/linux/meta.yaml b/recipes/linux/meta.yaml index 7062c9ff..7bdce832 100644 --- a/recipes/linux/meta.yaml +++ b/recipes/linux/meta.yaml @@ -1,4 +1,4 @@ -{% set version = '1.1.8' %} +{% set version = '1.1.9' %} package: name: cnapy diff --git a/recipes/noarch/meta.yaml b/recipes/noarch/meta.yaml index 34744880..3e0cbca8 100644 --- a/recipes/noarch/meta.yaml +++ b/recipes/noarch/meta.yaml @@ -1,4 +1,4 @@ -{% set version = '1.1.8' %} +{% set version = '1.1.9' %} package: name: cnapy diff --git a/recipes/win/meta.yaml b/recipes/win/meta.yaml index 4e7f8112..943990f0 100644 --- a/recipes/win/meta.yaml +++ b/recipes/win/meta.yaml @@ -1,4 +1,4 @@ -{% set version = '1.1.8' %} +{% set version = '1.1.9' %} package: name: cnapy diff --git a/setup.py b/setup.py index e89ca105..0ee79a07 100644 --- a/setup.py +++ b/setup.py @@ -18,7 +18,7 @@ setup( name='cnapy', - version='1.1.8', + version='1.1.9', url='https://github.com/cnapy-org/CNApy/', license='GPLv3+', description='An integrated environment for metabolic network analysis.',