PolyU IT Support for Research Apr 2020 Page-1 Notes for install Keras on Anaconda3: For some machines, you might find difficulties by following the official document of installing Keras for your machine was purchased in 2012 or later. Step 1 Follow the document or video to install Anaconda3 and RStudio: User guide: Click here Video: A) Staff (https://web.microsoftstream.com/vide com/video/33db8bdd-dd29-4c75-8cf9-4eaa0ac4dc08) Step 2 When finished, run these lines at Anaconda3 prompt. For example, if your environment with RStudio installed called “rstudio”. A) Click

virtualenv环境共享库；同时也可以选择性地不连接已安装的全局库。 conda结合了pip和virtualenv的功能，比较方便地在不同环境之间进行 切换，环境管理较为简单。 ★centos安装anaconda3 anaconda下载地址： h�ps://www.anaconda.com/products/distribu�on 不区分linux版本，一般centos7，centos8，ubuntu2004，2204等版本都 accept the license terms? [yes|no] 输入yes 默认是安装在/root/anaconda3目录下，如果不是root用户，请输入当前 用户能访问的目录 # bash Anaconda3-2022.10-Linux-x86_64.sh -p /opt/anaconda3 #这样可跳过软件安装路径确认阶段，直接安装到指定目录下 然后等待安装完成 #是否初始化conda的环境，直接输入yes，回车 init' !! __conda_setup="$('/root/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)" if [ $? -eq 0 ]; then eval "$__conda_setup" else if [ -f "/root/anaconda3/etc/profile.d/conda.sh" ]; then

to change pytransform3.so. For example, in anaconda3 with Python 3.9, first search which CPython library is installed: $ otool -L /Users/my_username/anaconda3/bin/python Find any line includes Python find /Users/my_username/anaconda3 -name "Python.framework/Versions/3.9/Python" $ find /Users/my_username/anaconda3 -name "libpython3.9.dylib" $ find /Users/my_username/anaconda3 -name "libpython3.9.so" /Users/my_username/anaconda3/lib/libpython3.9.dylib /Users/my_username/anaconda3/lib/python3.9/site- packages/pyarmor/cli/core/pytransform3.so $ codesign -f -s - /Users/my_username/anaconda3/lib/python3.9/site-

to change pytransform3.so. For example, in anaconda3 with Python 3.9, first search which CPython library is installed: $ otool -L /Users/my_username/anaconda3/bin/python Find any line includes Python find /Users/my_username/anaconda3 -name "Python.framework/Versions/3.9/Python" $ find /Users/my_username/anaconda3 -name "libpython3.9.dylib" $ find /Users/my_username/anaconda3 -name "libpython3.9.so" /Users/my_username/anaconda3/lib/libpython3.9.dylib /Users/my_username/anaconda3/lib/python3.9/site- packages/pyarmor/cli/core/pytransform3.so $ codesign -f -s - /Users/my_username/anaconda3/lib/python3.9/site-

appears, similar to the following: conda environments: base /home/username/Anaconda3 snowflakes * /home/username/Anaconda3/envs/snowflakes TIP: The active environment is the one with an asterisk (*) environment: # conda environments: # base /home/username/anaconda3 snakes * /home/username/anaconda3/envs/snakes snowflakes /home/username/anaconda3/envs/snowflakes The active environment is also displayed installer. TIP: If you are unsure of which option to download, choose the most recent version of Anaconda3, which includes Python 3.6, the most recent version of Python. If you are on Windows or macOS, choose

appears, similar to the following: conda environments: base /home/username/Anaconda3 snowflakes * /home/username/Anaconda3/envs/snowflakes TIP: The active environment is the one with an asterisk (*) environment: # conda environments: # base /home/username/anaconda3 snakes * /home/username/anaconda3/envs/snakes snowflakes /home/username/anaconda3/envs/snowflakes The active environment is also displayed installer. TIP: If you are unsure of which option to download, choose the most recent version of Anaconda3, which includes Python 3.6, the most recent version of Python. If you are on Windows or macOS, choose

appears, similar to the following: conda environments: base /home/username/Anaconda3 snowflakes * /home/username/Anaconda3/envs/snowflakes Tip: The active environment is the one with an asterisk (*) environment: # conda environments: # base /home/username/anaconda3 snakes * /home/username/anaconda3/envs/snakes snowflakes /home/username/anaconda3/envs/snowflakes The active environment is also displayed included with Anaconda and Miniconda. • The newest stable version of Python is quickly included with Anaconda3 and Miniconda3. • You can easily set up additional versions of Python such as 3.9 by downloading

appears, similar to the following: conda environments: base /home/username/Anaconda3 snowflakes * /home/username/Anaconda3/envs/snowflakes Tip: The active environment is the one with an asterisk (*) environment: # conda environments: # base /home/username/anaconda3 snakes * /home/username/anaconda3/envs/snakes snowflakes /home/username/anaconda3/envs/snowflakes The active environment is also displayed included with Anaconda and Miniconda. • The newest stable version of Python is quickly included with Anaconda3 and Miniconda3. • You can easily set up additional versions of Python such as 3.9 by downloading

OverflowError: timeout value is too large File "D:\Anaconda3\envs\py37\lib\threading.py", line 926, in _bootstrap_inner self.run() File "D:\Anaconda3\envs\py37\lib\site-packages\apache_beam\runners\worker\data_plane _finished.wait(next_call - time.time()): File "D:\Anaconda3\envs\py37\lib\threading.py", line 552, in wait signaled = self._cond.wait(timeout) File "D:\Anaconda3\envs\py37\lib\threading.py", line 300, in wait

OverflowError: timeout value is too large File "D:\Anaconda3\envs\py37\lib\threading.py", line 926, in _bootstrap_inner self.run() File "D:\Anaconda3\envs\py37\lib\site-packages\apache_beam\runners\worker\data_plane _finished.wait(next_call - time.time()): File "D:\Anaconda3\envs\py37\lib\threading.py", line 552, in wait signaled = self._cond.wait(timeout) File "D:\Anaconda3\envs\py37\lib\threading.py", line 300, in wait