threadpoolctl | Python helpers to limit the number of threads | Architecture library

 by   joblib Python Version: 3.1.0 License: BSD-3-Clause

kandi X-RAY | threadpoolctl Summary

kandi X-RAY | threadpoolctl Summary

threadpoolctl is a Python library typically used in Architecture applications. threadpoolctl has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However threadpoolctl build file is not available. You can install using 'pip install threadpoolctl' or download it from GitHub, PyPI.

Python helpers to limit the number of threads used in native libraries that handle their own internal threadpool (BLAS and OpenMP implementations)

            kandi-support Support

              threadpoolctl has a low active ecosystem.
              It has 226 star(s) with 21 fork(s). There are 10 watchers for this library.
              It had no major release in the last 12 months.
              There are 14 open issues and 26 have been closed. On average issues are closed in 48 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of threadpoolctl is 3.1.0

            kandi-Quality Quality

              threadpoolctl has 0 bugs and 0 code smells.

            kandi-Security Security

              threadpoolctl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              threadpoolctl code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              threadpoolctl is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              threadpoolctl releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              threadpoolctl has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              threadpoolctl saves you 388 person hours of effort in developing the same functionality from scratch.
              It has 1250 lines of code, 100 functions and 12 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed threadpoolctl and discovered the below as its top functions. This is intended to give you an instant insight into threadpoolctl implemented functionality, and help decide if they suit your requirements.
            • Check the limits .
            • Print thread - pool information .
            • Get the original num_threads for each user .
            • Get information about threadpool .
            • Get the core architecture .
            • Get the version .
            • Get the threading layer .
            • Set the threadpool limits .
            • Format docstring .
            • Set the number of threads .
            Get all kandi verified functions for this library.

            threadpoolctl Key Features

            Python helpers to limit the number of threads used in native libraries that handle their own internal threadpool (BLAS and OpenMP implementations)

            threadpoolctl Examples and Code Snippets

            Docker Build Fails at "locate package python-pydot"
            Pythondot img1Lines of Code : 20dot img1License : Strong Copyleft (CC BY-SA 4.0)
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            FROM openjdk:8
            RUN apt-get update && apt-get install -y python3 python3-pip
            RUN apt-get -y install python3-pydot python3-pydot-ng graphviz
            RUN apt-get -y install python3-tk
            RUN apt-get -y install zip unzip
            RUN apt-get -y install
            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Pythondot img2Lines of Code : 4dot img2License : Strong Copyleft (CC BY-SA 4.0)
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            python is /opt/anaconda3/bin/python
            python is /usr/local/bin/python
            python is /usr/bin/python
            detach().cpu() kills kernel
            Pythondot img3Lines of Code : 8dot img3License : Strong Copyleft (CC BY-SA 4.0)
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            def Exec_ShowImgGrid(ObjTensor, ch=1, size=(28,28), num=16):
                #tensor: 128(pictures at the time ) * 784 (28*28)
                Objdata= ObjTensor.detach().cpu().view(-1,ch,*size) #128 *1 *28*28 
                Objgrid= make_grid(Objdata[:num],nrow=4).permute
            Cant import sklearn
            Pythondot img4Lines of Code : 2dot img4License : Strong Copyleft (CC BY-SA 4.0)
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            conda install --name tf_plates scikit-learn
            Cant import sklearn
            Pythondot img5Lines of Code : 2dot img5License : Strong Copyleft (CC BY-SA 4.0)
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            conda install -c anaconda scikit-learn
            Cant install imbalanced-learn on an Azure ML Environment
            Pythondot img6Lines of Code : 2dot img6License : Strong Copyleft (CC BY-SA 4.0)
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            !pip install -U "imbalanced-learn < 0.9"
            Download UNIX python wheel in windows
            Pythondot img7Lines of Code : 20dot img7License : Strong Copyleft (CC BY-SA 4.0)
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            $ pip download --only-binary=:all: --platform win_amd64 imbalanced_learn
            Saved ./imbalanced_learn-0.9.0-py3-none-any.whl
            Saved ./joblib-1.1.0-py2.py3-none-any.whl
            Saved ./numpy-1.22.2-cp39-cp39-win_amd64.whl
            Saved ./scikit_learn-1.0.
            How to install local package with conda
            Pythondot img8Lines of Code : 27dot img8License : Strong Copyleft (CC BY-SA 4.0)
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              name: jive
              version: "0.2.1"
              path: .
              script: python -m pip install --no-deps --ignore-installed .
                 - python
                 - pip
                 - setuptools
                 - python
                 - numpy
                 - p
            Is it possible to force a Python library to install a specific version of one of its dependency?
            Pythondot img9Lines of Code : 23dot img9License : Strong Copyleft (CC BY-SA 4.0)
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            $ mktmpenv -p python3.7
            (tmp-bf2774e21725ffd2) $ echo "scipy==1.7.1
            > scikit-learn==0.24.0" > requirements.txt
            (tmp-bf2774e21725ffd2) $ pip install -r requirements.txt
            Collecting scipy==1.7.1
              Downloading scipy-1.7.1-cp37-cp37m-ma
            sql server ML service gives low memory error for large data (Association Rule Mining Project)
            Pythondot img10Lines of Code : 8dot img10License : Strong Copyleft (CC BY-SA 4.0)
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            ALTER EXTERNAL RESOURCE POOL [default] WITH (max_memory_percent=94, AFFINITY CPU = AUTO)

            Community Discussions


            ModuleNotFoundError: No module named 'sklearn.neighbors._dist_metrics'
            Asked 2022-Mar-31 at 23:19

            I trained a Kernel Density model, then dumped the model using joblib. I then made a function while calling the same .pkl file. It works fine on my local machine, but when I deploy it on a cloud machine and create a docker image out of the same I get one of the following errors:



            Answered 2022-Mar-31 at 23:19

            The scikit-learn library is a different version on your cloud machine.

            Specifically, the sklearn.neighbors._dist_metrics was removed around version 1.0.2. Perhaps your docker container is not actually using your requirements.txt properly.

            Here's an example of different versions:

            This one doesn't throw an error



            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Asked 2022-Mar-13 at 16:13

            I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "" file.

            • I first tested the app by running python py2app -A in the terminal and the dist and build folder are successfully created and the app works when launched.
            • Now when I try to build it non-locally by running the command python py2app in the terminal, there are various "WARNING: ImportERROR" messages while building and finally a error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' error.

              How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
              *I Left out a lot of the "skipping" and "warning" lines using "..." for space


            Answered 2022-Mar-13 at 16:13

            The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.

            The fix:

            1. Open the terminal and type the command type -a python.
            • You will see similar lines



            sklearn KMeans is not working as I only get 'NoneType' object has no attribute 'split' on nonEmpty Array
            Asked 2022-Mar-12 at 10:50

            I don't know what is wrong but suddenly KMeans from sklearn is not working anymore and I don't know what I am doing wrong. Has anyone encountered this problem yet or knows how I can fix it?



            Answered 2022-Mar-06 at 18:35

            I started getting the same error recently. It might have had something to do with a macOS upgrade from Sierra to Catalina, but I found that it was having an issue calculating kMeans when n_clusters = 1. In the following code, I changed my range to be 2:10 instead of 1:10, and it started working.



            jupyter contrib nbextension install gives Jupyter command `jupyter-contrib` not found
            Asked 2022-Mar-01 at 17:47

            Trying to (re)install Jupyter's nbextension via the following steps in terminal

            1. pip install jupyter_contrib_nbextensions
            2. jupyter contrib nbextension install --user
            3. install --user jupyter nbextension enable varInspector/main

            Step 1 = runs and i am able to launch notebooks via "jupyter notebook" in terminal just fine.

            Step 2 = fails with



            Answered 2022-Mar-01 at 17:47

            So in case anyone comes across similar for any reason with me encountering this probably due getting a new machine and IT doing their voodoo magic transferring my old stuff to this new machine.

            Anyhow, there were a bunch of things I still needed to install after I got my new machine and i am not able to exactly pin point what caused issues from my question but in the end I was able to resolve. Follow me there below ...

            Checking out my python.exe files I found 2 paths. First one added as environment variable

            1. C:\Users-----\AppData\Local\Programs\Python\Python310
            2. C:\Users----\AppData\Roaming\Python\Python310\

            Second one not added. Adding roaming version to path variables did not solve the issue and gave additional errors instead: Fatal error in launcher: Unable to create process using '"C:\Program Files\Python310\python.exe"


            1. I uninstalled python (done that before didnt help doing just that alone)

            2. Deleted all environment variables pointing to python (here is what environment variables are just in case -

            3. Uninstalled python extension from VS code (

            4. Deleted Python folders mentioned in the two paths above

            5. Then reinstalled python (clicked add to path during installation)

            6. Reinstalled VS code python extension

            7. Everything works now.

            Best of luck



            detach().cpu() kills kernel
            Asked 2022-Feb-28 at 22:25

            I am trying to plot an image noise using pytorch, however, when I reach to that point, the kernel dies. I am attempting the same code at Google Colab where I do get results

            Result at Google Colab

            Result at Jupyter

            I do not think that it has something to do with the code itself, but I am posting the function to plot the grid:



            Answered 2022-Feb-28 at 22:25

            After a few days I was able to find the solution

            Firstly, my code needed to be fixed to correctly call the params needed with the proper name



            Cant import sklearn
            Asked 2022-Feb-19 at 10:59

            skitlear is installed, however whe I run import sklearn i get an error: ModuleNotFoundError: No module named 'sklearn' please see bellow:



            Answered 2022-Feb-18 at 12:59

            Go to anaconda cmd or miniconda cmd and put this



            Cant install imbalanced-learn on an Azure ML Environment
            Asked 2022-Feb-15 at 21:26

            I have an Azure ML Workspace which comes by default with some pre-installed packages.

            I tried to install



            Answered 2022-Feb-15 at 14:23

            scikit-learn 1.0.1 and up require Python >= 3.7; you use Python 3.6. You need to upgrade Python or downgrade imbalanced-learn. imbalanced-learn 0.8.1 allows Python 3.6 so



            Download UNIX python wheel in windows
            Asked 2022-Feb-09 at 12:20

            I want to download a UNIX python wheel into my windows PC, for later install it in a UNIX server with no access to the internet

            I tried



            Answered 2022-Feb-09 at 12:20


            Colab: (0) UNIMPLEMENTED: DNN library is not found
            Asked 2022-Feb-08 at 19:27

            I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:



            Answered 2022-Feb-07 at 09:19

            It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason



            How to install local package with conda
            Asked 2022-Feb-05 at 04:16

            I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

            But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

            So I did the following:

            1. write a simple meta.yaml so I could use conda-build to build jive locally
            2. build jive with conda build .
            3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
            4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
            5. create a conda env using that environment.yml.

            When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python install, I can import it.) How can I fix the build/install so that this works?

            Here is the meta.yaml, which lives in the jive project top level directory:



            Answered 2022-Feb-05 at 04:16

            The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.

            I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).

            Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").

            Try adjusting the meta.yaml to something like


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install threadpoolctl

            For users, install the last published version from PyPI:.
            For users, install the last published version from PyPI: pip install threadpoolctl
            For contributors, install from the source repository in developer mode: pip install -r dev-requirements.txt flit install --symlink then you run the tests with pytest: pytest


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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