I am trying to install tensorflow in python using pip command as
pip install --upgrade --ignore-installed tensorflow
and received the error message as
ERROR: spyder 3.3.6 requires pyqt5<5.13; python_version >= "3", which is not installed.
ERROR: spyder 3.3.6 requires pyqtwebengine<5.13; python_version >= "3", which is not installed.
ERROR: astroid 2.3.1 requires typed-ast<1.5,>=1.4.0; implementation_name == "cpython" and python_version < "3.8", which is not installed.
ERROR: astroid 2.3.1 has requirement six==1.12, but you'll have six 1.15.0 which is incompatible.
ERROR: astroid 2.3.1 has requirement wrapt==1.11.*, but you'll have wrapt 1.12.1 which is incompatible.
So how can I manage to install them?
do you already have a version of tensorflow installed? Assuming that you´re using the --ignore-installed option here....
This obviously keeps tensorflow from installing the required dependencies. Try without --ignore-installed (it will overwrite existing installations and hopefully update all requirements)
Related
error i'm getting--
ERROR: pip's legacy dependency resolver does not consider dependency conflicts when selecting packages. This behaviour is the source of the following dependency conflicts.
tensorflow 2.6.3 requires six~=1.15.0, but you'll have six 1.16.0 which is incompatible.
tensorflow 2.6.3 requires typing-extensions<3.11,>=3.7, but you'll have typing-extensions 4.0.1 which is incompatible.
rasa-sdk 2.8.4 requires typing-extensions<4.0.0,>=3.7.4, but you'll have typing-extensions 4.0.1 which is incompatible.
sanic-jwt 1.6.0 requires pyjwt==2.0.0, but you'll have pyjwt 2.3.0 which is incompatible.
rasa 2.8.23 requires aiohttp!=3.7.4.post0,<3.8,>=3.6, but you'll have aiohttp 3.8.1 which is incompatible.
rasa 2.8.23 requires apscheduler<3.8,>=3.6, but you'll have apscheduler 3.8.1 which is incompatible.
rasa 2.8.23 requires prompt-toolkit<3.0,>=2.0, but you'll have prompt-toolkit 3.0.27 which is incompatible.
rasa 2.8.23 requires sentry-sdk<1.3.0,>=0.17.0, but you'll have sentry-sdk 1.3.1 which is incompatible.
please look at image for more clarity of the error-
[1]: https://i.stack.imgur.com/Vdxo0.png
Version using for Installation--
conda create -n rasavirtualenv python=3.7.6
pip install --upgrade pip==21.3
pip install rasa-x --extra-index-url https://pypi.rasa.com/simple --use deprecated=legacy-resolver
Most probably this is caused because of pip's version. You should downgrade the pip version and see if that works. So make sure the virtual environment with rasa is active and:
pip install --upgrade pip==20.2, then run pip -V to make sure the right version is installed, lastly run pip install -U rasa-x --extra-index-url https://pypi.rasa.com/simple to install Rasa-x.
I try to install Tensorflow using this line in PowerShell (as admin):
pip install tensorflow
But received this ERROR:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
astroid 2.3.2 requires six==1.12, but you have six 1.15.0 which is incompatible.
astroid 2.3.2 requires wrapt==1.11.*, but you have wrapt 1.12.1 which is incompatible.
Also, I tried to uninstall six and wrapt using: pip uninstall six wrapt and run pip install tensorflow again but still got the same error as above.
Thank you in advance!
I was opening Anaconda Navigator so I closed it and reopened PowerShell again, ran the install command and it went smoothly without further error.
I tried to pip install --upgrade google-cloud-bigquery[pandas] on anaconda command promt
but got this errors while installing
ERROR: astroid 2.3.1 requires typed-ast<1.5,>=1.4.0; implementation_name == "cpython" and python_version < "3.8", which is not installed.
ERROR: astroid 2.3.1 has requirement six==1.12, but you'll have six 1.15.0 which is incompatible.
when I run it on jupyter notebook I get
ImportError: cannot import name 'collections_abc' from 'six.moves' (unknown location)
I was able to resolve this by explicitly installing an updated version of six (1.13.0 instead of 1.11.0) via:
pip3 install --upgrade six>=1.13.0
As the error message suggests try downgrading the "six" version to 1.12, it should work. I was facing the same issue and downgrading the same worked for me.
I am trying to install numpy in my virtualenv but I face circular dependencies as follow:
(test) [hadoop#ip-192-168-26-8 test]$ python -m pip install numpy
Collecting numpy
Using cached https://files.pythonhosted.org/packages/62/20/4d43e141b5bc426ba38274933ef8e76e85c7adea2c321ecf9ebf7421cedf/numpy-1.18.1-cp36-cp36m-manylinux1_x86_64.whl
ERROR: tensorboard 2.1.0 requires grpcio>=1.24.3, which is not installed.
ERROR: tensorboard 2.1.0 requires markdown>=2.6.8, which is not installed.
ERROR: tensorboard 2.1.0 requires protobuf>=3.6.0, which is not installed.
ERROR: tensorboard 2.1.0 requires werkzeug>=0.11.15, which is not installed.
Installing collected packages: numpy
Successfully installed numpy-1.18.1
then when I try to install grpcio
(test) [hadoop#ip-192-168-26-8 test]$ python -m pip install grpcio
Collecting grpcio
Using cached https://files.pythonhosted.org/packages/17/8f/f79c5c174bebece41f824dd7b1ba98da45dc2d4c373b38ac6a7f6a5acb5e/grpcio-1.26.0-cp36-cp36m-manylinux2010_x86_64.whl
Requirement already satisfied: six>=1.5.2 in ./lib/python3.6/dist-packages (from grpcio) (1.14.0)
ERROR: tensorboard 2.1.0 requires markdown>=2.6.8, which is not installed.
ERROR: tensorboard 2.1.0 requires numpy>=1.12.0, which is not installed.
ERROR: tensorboard 2.1.0 requires protobuf>=3.6.0, which is not installed.
ERROR: tensorboard 2.1.0 requires werkzeug>=0.11.15, which is not installed.
Installing collected packages: grpcio
Successfully installed grpcio-1.26.0
I am not even sure why it gives me incorrect prompt Successfully installed grpcio-1.26.0, as they are not being added to my pip when I use list command.
Do you mind uninstalling numpy with below:
pip uninstall numpy
And install it again with --no-cache-dir option:
pip install numpy --no-cache-dir
Also, see that pip is upgraded.
I am a beginner and working on a Chatbot project using RASA framework. When I try to install RASA using "pip install rasa" commands or dependencies inside requirement.txt [snap attached] using "pip install -r requirements.txt",I'm getting below error.
In order to resolve the issue I changed concern dependencies version in Requirement.txt but even that couldn't help me out.
For instance in below case, per logs there is requirement of "fbmessenger~=6.0" instead of Version 5.0.0 (existing one).
ERROR: rasa 1.3.9 has requirement fbmessenger~=6.0, but you'll have fbmessenger 5.0.0 which is incompatible.
If I change the version 5.0 to 6.0 in requirement.txt file and run command then it will again throw error with now requirement of 5.0 version. like
ERROR: rasa 1.2 has requirement fbmessenger~=5.0, but you'll have fbmessenger 6.0.0 which is incompatible.
Error Trace :--
ERROR: tensorflow 1.14.0 has requirement wrapt>=1.11.1, but you'll have wrapt 1.10.0 which is incompatible.
ERROR: rasa 1.3.9 has requirement fbmessenger~=6.0, but you'll have fbmessenger 5.0.0 which is incompatible.
ERROR: rasa 1.3.9 has requirement matplotlib~=3.0, but you'll have matplotlib 2.0.0 which is incompatible.
ERROR: rasa 1.3.9 has requirement packaging~=19.0, but you'll have packaging 18.0 which is incompatible.
ERROR: rasa 1.3.9 has requirement pika~=1.0.0, but you'll have pika 0.12.0 which is incompatible.
ERROR: rasa 1.3.9 has requirement python-socketio>=4.3.1, but you'll have python-socketio 3.0.0 which is incompatible.
ERROR: rasa 1.3.9 has requirement pytz~=2019.1, but you'll have pytz 2018.9 which is incompatible.
ERROR: rasa 1.3.9 has requirement redis~=3.3.5, but you'll have redis 2.0.0 which is incompatible.
ERROR: rasa-x 0.21.4 has requirement pika~=1.0.0, but you'll have pika 0.12.0 which is incompatible.
ERROR: rasa-x 0.21.4 has requirement requests~=2.22, but you'll have requests 2.21.0 which is incompatible.
ERROR: rasa-sdk 1.3.3 has requirement ConfigArgParse~=0.14, but you'll have configargparse 0.13.0 which is incompatible.
ERROR: rasa-core 0.13.8 has requirement tensorflow~=1.12.0, but you'll have tensorflow 1.14.0 which is incompatible.
ERROR: gym 0.15.3 has requirement cloudpickle~=1.2.0, but you'll have cloudpickle 0.6.1 which is incompatible.
Requirement.txt Content :-
gspread==3.0.0
beautifulsoup4~=4.6.3
requests~=2.21.0
geopy~=1.18.1
pandas~=0.24.1
rasa==1.3.9
future==0.17.1
fakeredis==0.10.1
keras-applications==1.0.6
keras-preprocessing==1.0.5
dill==0.2.9
tensorflow==1.14.0
wrapt==1.10.0
fbmessenger==5.0
matplotlib==2.0
packaging==18.0
pika==0.12.0
pyhton-socketio==3.0
pytz==2018.9
redis==2.0
ConfigArgParse==0.13
cloudpickle==0.6.1
mailchimp3==3.0.2
oauth2client==4.1.2
Other Details :--
OS-Window 10
Python - 3.6.0
pip -19.3
VS Code - 1.39
This occurs when you try to install a older version which is incompatible with new ones. Rather than having all the document i suggest that you can install the latest version of those packages manually.
However most of those packages comes with rasa. You can just install them with:
pip install rasa
If you have some libaries other than those coming with rasa just install them with "pip install (package_name)"
I feel you are trying to install rasa-x in an already existing virtual environment(venv).
Please create a new venv folder and then fire the below command and everything will work fine.
pip install rasa-x --extra-index-url https://pypi.rasa.com/simple
Earlier someone must have installed rasa-x. The earlier version had different versions of dependencies and in between rasa-x got upgraded along with its dependency versions. Now when you are trying to reinstall it, you are facing conflicts.
If you have a specific version of rasa-x, say 0.21.4, in your mind then you can install it in a new venv as follows:
pip install rasa-x==0.21.4 --extra-index-url https://pypi.rasa.com/simple
I have just appended the version number to the package name.