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C:\Users\Lenovo>conda info
Current conda install:
platform : win-64
conda version : 4.3.8
conda is private : False
conda-env version : 4.3.8
conda-build version : 1.21.3
python version : 3.5.2.final.0
requests version : 2.12.4
root environment : C:\Anaconda3 (writable)
default environment : C:\Anaconda3
envs directories : C:\Anaconda3\envs
package cache : C:\Anaconda3\pkgs
channel URLs : https://repo.continuum.io/pkgs/free/win-64
https://repo.continuum.io/pkgs/free/noarch
https://repo.continuum.io/pkgs/r/win-64
https://repo.continuum.io/pkgs/r/noarch
https://repo.continuum.io/pkgs/pro/win-64
https://repo.continuum.io/pkgs/pro/noarch
https://repo.continuum.io/pkgs/msys2/win-64
https://repo.continuum.io/pkgs/msys2/noarch
config file : None
offline mode : False
user-agent : conda/4.3.8 requests/2.12.4 CPython/3.5.2 Windows/7 Windows/6.1.7601
Recently when after installing or updating packages through conda and sometimes even pip the following sequence is printed to the console:
extern "Python": function Cryptography_locking_cb() called, but @ffi.def_extern(
) was not called in the current subinterpreter. Returning 0.
extern "Python": function Cryptography_locking_cb() called, but @ffi.def_extern(
) was not called in the current subinterpreter. Returning 0.
extern "Python": function Cryptography_locking_cb() called, but @ffi.def_extern(
) was not called in the current subinterpreter. Returning 0.
extern "Python": function Cryptography_locking_cb() called, but @ffi.def_extern(
) was not called in the current subinterpreter. Returning 0.
... # keeps repeating
I couldn't tell you how many times this is repeated I'm running console2 and the the command history gets cut off after my 300 lines. I could print the whole thing to a text file if needed but I thought I'd ask first. Does anybody know what this is or how to fix it?
368
Conda analyzes each package for compatible dependencies, and how to install them without conflict. If there is a conflict, Conda will let you know that the installation cannot be completed. By comparison, Pip installs all package dependencies regardless of whether they conflict with other packages already installed.
-c stands for --channel . It's used to specify a channel where to search for your package, the channel is often named owner. The generic command is: conda install -c CHANNEL_NAME PACKAGE_NAME.
You can install pip in the current conda environment with the command conda install pip , as discussed in Using pip in an environment. If there are instances of pip installed both inside and outside the current conda environment, the instance of pip installed inside the current conda environment is used.
So in real time, conda was about six times slower than pip . And this difference in speed is typical of my experience with these package managers.
According to this post, you may upgrade to Cryptography 1.7 with pip:
pip install --upgrade pip
pip install cryptography>=1.7 --upgrade
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