:ambulance: hotfix for release (6b260edb) · Commits · 钟慕尧 / deepchem

README.md

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		@@ -3,7 +3,6 @@
		[![Anaconda-Server Badge](https://anaconda.org/conda-forge/deepchem/badges/version.svg)](https://anaconda.org/conda-forge/deepchem)
		[![PyPI version](https://badge.fury.io/py/deepchem.svg)](https://badge.fury.io/py/deepchem)
		[![Documentation Status](https://readthedocs.org/projects/deepchem/badge/?version=latest)](https://deepchem.readthedocs.io/en/latest/?badge=latest)

		![Test for DeepChem Core](https://github.com/deepchem/deepchem/workflows/Test%20for%20DeepChem%20Core/badge.svg)
		![Test for documents](https://github.com/deepchem/deepchem/workflows/Test%20for%20documents/badge.svg)
		![Test for build scripts](https://github.com/deepchem/deepchem/workflows/Test%20for%20build%20scripts/badge.svg)
		@@ -39,15 +38,15 @@ DeepChem currently supports Python 3.6 through 3.7 and requires these packages o
		- [scikit-learn](https://scikit-learn.org/stable/)
		- [SciPy](https://www.scipy.org/)
		- [TensorFlow](https://www.tensorflow.org/)
		- `deepchem>=2.4.0` requires tensorflow v2
		- `deepchem<2.4.0` requires tensorflow v1
		- `deepchem>=2.4.0` depends on TensorFlow v2
		- `deepchem<2.4.0` depends on TensorFlow v1

		### Soft Requirements

		DeepChem has a number of "soft" requirements.
		If you face some errors like `ImportError: This class requires XXXX`, you may need to install some packages.

		Please check [the document](https://deepchem.readthedocs.io/en/latest/requirements.html##soft-requirements) about soft requirements.
		Please check [the document](https://deepchem.readthedocs.io/en/latest/requirements.html#soft-requirements) about soft requirements.

		## Installation

		@@ -74,7 +73,7 @@ conda install -y -c conda-forge rdkit deepchem==2.3.0
		You install the nightly build version via pip. The nightly version is built by the HEAD of DeepChem.

		```bash
		pip install tensorflow==2.3.0
		pip install tensorflow==2.3.*
		pip install --pre deepchem
		```

		@@ -90,11 +89,11 @@ If you want to install deepchem using a docker, you can pull two kinds of images
		DockerHub : https://hub.docker.com/repository/docker/deepchemio/deepchem

		- `deepchemio/deepchem:x.x.x`
		- Image built by using a conda package manager (x.x.x is a version of deepchem)
		- Image built by using a conda (x.x.x is a version of deepchem)
		- The x.x.x image is built when we push x.x.x. tag
		- Dockerfile is put in `docker/conda-forge` directory
		- `deepchemio/deepchem:latest`
		- Image built by the master branch of deepchem source codes
		- Image built from source codes
		- The latest image is built every time we commit to the master branch
		- Dockerfile is put in `docker/master` directory

		@@ -110,7 +109,7 @@ If you want to know docker usages with deepchem in more detail, please check [th

		If you try install all soft dependencies at once or contribute to deepchem, we recommend you should install deepchem from source.

		Please check [this introduction](https://deepchem.readthedocs.io/en/latest/installation.html#from-source).
		Please check [this introduction](https://deepchem.readthedocs.io/en/latest/installation.html#from-source-with-conda).

		## Getting Started

deepchem/init.py

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		@@ -3,7 +3,7 @@ Imports all submodules
		"""

		# If you push the tag, please remove `.dev`
		__version__ = '2.4.0.dev'
		__version__ = '2.4.0-rc1.dev'

		import deepchem.data
		import deepchem.feat

docs/source/get_started/installation.rst

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		@@ -34,7 +34,7 @@ The nightly version is built by the HEAD of DeepChem.

		.. code-block:: bash

		pip install tensorflow==2.3.0
		pip install tensorflow==2.3.*
		pip install --pre deepchem


		@@ -63,13 +63,13 @@ you can pull two kinds of images from `DockerHub`_.

		- deepchemio/deepchem:x.x.x

		- Image built by using a conda package manager (x.x.x is a version of deepchem)
		- Image built by using a conda (x.x.x is a version of deepchem)
		- This image is built when we push x.x.x. tag
		- Dockerfile is put in `docker/conda-forge`_ directory

		- deepchemio/deepchem:latest

		- Image built by the master branch of deepchem source codes
		- Image built from source codes
		- This image is built every time we commit to the master branch
		- Dockerfile is put in `docker/master`_ directory

		@@ -123,6 +123,7 @@ From source with conda
		Installing via these steps will ensure you are installing from the source.

		Prerequisite

		- Shell: Bash, Zsh, PowerShell
		- Conda: >4.6

docs/source/get_started/requirements.rst

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		@@ -13,8 +13,8 @@ DeepChem officially supports Python 3.6 through 3.7 and requires these packages
		- `SciPy`_
		- `TensorFlow`_

		- `deepchem>=2.4.0` requires tensorflow v2 (2.3.x)
		- `deepchem<2.4.0` requires tensorflow v1 (>=1.14)
		- `deepchem>=2.4.0` depends on TensorFlow v2 (2.3.x)
		- `deepchem<2.4.0` depends on TensorFlow v1 (>=1.14)


		Soft requirements

docs/source/index.rst

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		@@ -58,7 +58,7 @@ RDKit is a soft requirement package, but many useful methods depend on it.

		.. code-block:: bash

		pip install tensorflow==2.3.0
		pip install tensorflow==2.3.*
		pip install --pre deepchem
		conda install -y -c conda-forge rdkit

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