multipledispatch | Multiple dispatch

 by   mrocklin Python Version: 1.0.0 License: Non-SPDX

kandi X-RAY | multipledispatch Summary

kandi X-RAY | multipledispatch Summary

multipledispatch is a Python library. multipledispatch has no bugs, it has no vulnerabilities, it has build file available and it has low support. However multipledispatch has a Non-SPDX License. You can install using 'pip install multipledispatch' or download it from GitHub, PyPI.

Multiple dispatch
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            kandi-support Support

              multipledispatch has a low active ecosystem.
              It has 727 star(s) with 71 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 53 open issues and 18 have been closed. On average issues are closed in 259 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of multipledispatch is 1.0.0

            kandi-Quality Quality

              multipledispatch has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              multipledispatch has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              multipledispatch releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              multipledispatch saves you 473 person hours of effort in developing the same functionality from scratch.
              It has 1116 lines of code, 204 functions and 15 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed multipledispatch and discovered the below as its top functions. This is intended to give you an instant insight into multipledispatch implemented functionality, and help decide if they suit your requirements.
            • Warn a warning
            • Return a warning message for a given function
            • Return the super signature of signatures
            • Returns a string representation of the class signature
            • The ordering of the results
            • Return a set of ambiguous signatures
            • Reorder functions
            • Return whether a is ambiguous
            • Prints help message
            • Return the dispatch function
            • Yield the function matching the given types
            • Return help text for given arguments
            Get all kandi verified functions for this library.

            multipledispatch Key Features

            No Key Features are available at this moment for multipledispatch.

            multipledispatch Examples and Code Snippets

            No Code Snippets are available at this moment for multipledispatch.

            Community Discussions

            QUESTION

            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 "setup.py" file.

            • I first tested the app by running python setup.py 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 setup.py 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
            ...

            ANSWER

            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

            Source https://stackoverflow.com/questions/71414043

            QUESTION

            Python importing main() problem - module exists, works in PyCharm, Gitlab says not found
            Asked 2022-Feb-14 at 09:33

            Asked a similar question before, but I marked it answered, and I have other information.

            Here is the structure:

            ...

            ANSWER

            Answered 2022-Feb-14 at 09:33

            QUESTION

            Python on Gitlab has ModuleNotFound, But Not When I Run Locally
            Asked 2022-Feb-03 at 14:27

            The following snapshot shows the file structure:

            When I run on Gitlab CI, here is what I am seeing:

            Why is this error occurring when Gitlab runs it but not when I run locally?

            Here is my .gitlab-ci.yml file.

            Note that this had been working before.
            I recently made win_perf_counters a Git submodule instead of being an actual subdirectory. (Again, it works locally.)

            ...

            ANSWER

            Answered 2022-Feb-03 at 12:05

            Probably the python libraries you are using in your local environment are not the same you are using in gitlab. Run a pip list or pip freeze in your local machine and see which versions do you have there. Then pip install those in your gitlab script. A good practice is to have a requirements.txt or a setup.py file with specific versions rather than pulling the latest versions every time.

            Source https://stackoverflow.com/questions/70970172

            QUESTION

            Using pywin32 in a GitLab CI YML file - getting error on pip install
            Asked 2021-Dec-20 at 08:34

            Trying to run a Python program using GitLab's CI pipeline.

            I had this running in Teamcity, but I wanted to try in GitLab.

            First attempt

            I supplied an explicit list of pip install commands including wmi.

            ...

            ANSWER

            Answered 2021-Dec-16 at 18:17

            While the python:3.8.0 image has a windows architecture available, it looks like it's pulling the linux version from that tag. You can test this by adding the command uname -srm to the first line of your test scripts.

            I wasn't able to get a windows docker image for python running on a shared runner, but I was able to install python 3.8 on a runner with the following minimal .gitlab-ci.yml:

            Source https://stackoverflow.com/questions/70380606

            QUESTION

            UnsatisfiableError on importing environment pywin32==300 (Requested package -> Available versions)
            Asked 2021-Dec-03 at 14:58

            Good day

            I am getting an error while importing my environment:

            ...

            ANSWER

            Answered 2021-Dec-03 at 09:22

            Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to

            Source https://stackoverflow.com/questions/70209921

            QUESTION

            Can I run Python app using WMI in GitLab CI if using Linux Docker image?
            Asked 2021-Nov-14 at 01:08
            Objective

            In Gitlab runner, run:

            1. some JMeter tests
            2. a Python application that uses WMI to collect server metrics
            Problem

            The JMeter commands worked fine, using the alpine/jmeter image.

            ...

            ANSWER

            Answered 2021-Nov-14 at 01:08

            No, the wmi package relies on pywin32 which is only possible to use on Windows because it relies on Windows binary files (windows DLL files) which can only be run on Windows.

            Therefore, you must run this Python app on Windows, not Linux.

            Jmeter, however, does work on both Windows and Linux.

            Source https://stackoverflow.com/questions/69933297

            QUESTION

            AttributeError: could not import keras and segmentation models
            Asked 2021-Jul-02 at 05:33

            I am trying to import segmentation models and keras and i am getting an attribute error, i am using tensor flow version 2.5.0

            ...

            ANSWER

            Answered 2021-Jul-02 at 05:33

            I have solved my issue by adding tf.compat.v1.enable_eager_execution() to import and it works fine

            Source https://stackoverflow.com/questions/68209795

            QUESTION

            Updating packages in conda
            Asked 2021-Apr-14 at 20:26

            I have a problem with updating packages in conda. The list of my installed packages is:

            ...

            ANSWER

            Answered 2021-Apr-14 at 20:26

            Channel pypi means that the package was installed with pip. You may need to upgrade it with pip as well

            Source https://stackoverflow.com/questions/67097308

            QUESTION

            Jupyter Notebook Cannot Connect to Kernel, Likely due to Zipline / AssertionError
            Asked 2021-Apr-12 at 04:17

            All of my virtual environments work fine, except for one in which the jupyter notebook won't connect for kernel. This environment has Zipline in it, so I expect there is some dependency that is a problem there, even though I installed all packages with Conda.

            I've read the question and answers here, and unfortunately downgrading tornado to 5.1.1 didn't work nor do I get ValueErrors. I am, however, getting an AssertionError that appears related to the Class NSProcessInfo.

            I'm on an M1 Mac. Log from terminal showing the error below, and my environment file is below that. Can someone help me get this kernel working? Thank you!

            ...

            ANSWER

            Answered 2021-Apr-04 at 18:14

            Figured it out.

            What works:

            Source https://stackoverflow.com/questions/66907180

            QUESTION

            How to create a requirements.txt file in Django project?
            Asked 2021-Mar-18 at 01:12

            I have been trying to create a requirements.txt file from the Pycharm terminal but it is adding all unnecessary packages as well. What should I do to show only used packages? Thanks, requirements.txt:

            aiohttp==3.7.3 aioredis==1.3.1 alabaster==0.7.12 anaconda-client==1.7.2 anaconda-navigator==1.9.12 anaconda-project==0.8.3 appdirs==1.4.4 appnope==0.1.0 argh==0.26.2 asgiref==3.3.1 asn1crypto==1.3.0 astroid==2.4.2 astropy==4.0.1.post1 async-timeout==3.0.1 atomicwrites==1.4.0 attrs==19.1.0 autobahn==21.2.1 Automat==20.2.0 autopep8 @ file:///tmp/build/80754af9/autopep8_1592412889138/work Babel==2.8.0 backcall==0.1.0 backports.functools-lru-cache==1.6.1 backports.shutil-get-terminal-size==1.0.0 backports.tempfile==1.0 backports.weakref==1.0.post1 bcrypt==3.1.7 beautifulsoup4==4.9.1 bitarray @ file:///C:/ci/bitarray_1594751092677/work bkcharts==0.2 bleach==3.1.0 bokeh @ file:///C:/ci/bokeh_1593183652752/work boto==2.49.0 Bottleneck==1.3.2 brotlipy==0.7.0 bs4==0.0.1 certifi==2020.6.20 cffi==1.13.1 channels==3.0.3 channels-redis==3.2.0 chardet==3.0.4 cheroot==8.5.2 Click==7.0 cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work clyent==1.2.2 colorama==0.4.4 comtypes==1.1.7 conda==4.8.3 conda-build==3.18.11 conda-package-handling==1.7.0 conda-verify==3.4.2 constantly==15.1.0 contextlib2==0.6.0.post1 cryptography==3.4.6 cycler==0.10.0 Cython @ file:///C:/ci/cython_1594830140812/work cytoolz==0.10.1 daphne==3.0.1 dask @ file:///tmp/build/80754af9/dask-core_1594156306305/work decorator==4.4.0 defusedxml==0.6.0 diff-match-patch @ file:///tmp/build/80754af9/diff-match-patch_1594828741838/work distlib==0.3.1 distributed @ file:///C:/ci/distributed_1594747837674/work dj-database-url==0.5.0 dj-rest-auth==2.1.3 Django==3.1.5 django-admin-honeypot==1.1.0 django-allauth==0.44.0 django-bootstrap4==0.0.5 django-channels==0.7.0 django-crispy-forms==1.11.0 django-defender==0.8.0 django-heroku==0.3.1 django-honeypot==0.9.0 django-tastypie==0.14.3 djangorestframework==3.12.2 dnspython==1.15.0 docutils==0.16 entrypoints==0.3 et-xmlfile==1.0.1 Faker==0.8.13 fastcache==1.1.0 filelock==3.0.12 flake8==3.7.8 Flask==0.12.4 Flask-Bcrypt==0.7.1 Flask-Cors==3.0.3 Flask-JWT-Extended==3.7.0 Flask-Login==0.4.0 fsspec==0.7.4 future==0.18.2 gevent @ file:///C:/ci/gevent_1593010772244/work glob2==0.7 gmpy2==2.0.8 greenlet==0.4.16 gunicorn==20.0.4 h5py==2.10.0 HeapDict==1.0.1 hiredis==1.1.0 html5lib @ file:///tmp/build/80754af9/html5lib_1593446221756/work hyperlink==21.0.0 idna @ file:///tmp/build/80754af9/idna_1593446292537/work imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work imagesize==1.2.0 importlib-metadata==0.23 incremental==17.5.0 intervaltree @ file:///tmp/build/80754af9/intervaltree_1594361675072/work ipykernel==5.1.3 ipython==7.8.0 ipython-genutils==0.2.0 ipywidgets==7.5.1 isort==5.7.0 itsdangerous==1.1.0 jaraco.functools==3.1.0 jdcal==1.4.1 jedi==0.15.1 Jinja2==2.10.3 joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work json5==0.9.5 jsonschema==3.1.1 jupyter==1.0.0 jupyter-client==5.3.1 jupyter-console==6.0.0 jupyter-core==4.4.0 jupyterlab==2.1.5 jupyterlab-server @ file:///tmp/build/80754af9/jupyterlab_server_1594164409481/work keyring @ file:///C:/ci/keyring_1593109210108/work kiwisolver==1.2.0 lazy-object-proxy==1.4.3 libarchive-c==2.9 llvmlite==0.32.1 locket==0.2.0 lxml @ file:///C:/ci/lxml_1594826940903/work MarkupSafe==1.1.1 matplotlib @ file:///C:/ci/matplotlib-base_1592844891112/work mccabe==0.6.1 menuinst==1.4.16 mistune==0.8.4 mkl-fft==1.1.0 mkl-random==1.1.1 mkl-service==2.3.0 mock==4.0.2 more-itertools==7.2.0 mpmath==1.1.0 msgpack==1.0.0 multidict==5.0.2 multipledispatch==0.6.0 navigator-updater==0.2.1 nbconvert==5.6.0 nbformat==4.4.0 networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work nltk @ file:///tmp/build/80754af9/nltk_1592496090529/work node==0.9.25 nose==1.3.7 notebook==6.0.1 numba==0.49.1 numexpr==2.7.1 numpy==1.18.5 numpydoc @ file:///tmp/build/80754af9/numpydoc_1594166760263/work oauthlib==3.1.0 odict==1.7.0 olefile==0.46 openpyxl @ file:///tmp/build/80754af9/openpyxl_1594167385094/work packaging==20.4 pandas @ file:///C:/ci/pandas_1592841744841/work pandocfilters==1.4.2 paramiko==2.7.1 parso==0.5.1 partd==1.1.0 path==13.1.0 pathlib2==2.3.5 pathtools==0.1.2 patsy==0.5.1 pep8==1.7.1 pexpect==4.7.0 pickleshare==0.7.5 Pillow @ file:///C:/ci/pillow_1594304973959/work pipenv==2020.11.15 pkginfo==1.5.0.1 pluggy==0.6.0 plumber==1.6 ply==3.11 prometheus-client==0.7.1 prompt-toolkit==2.0.10 psutil==5.7.0 psycopg2==2.8.6 ptyprocess==0.6.0 py==1.8.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycodestyle==2.5.0 pycosat==0.6.3 pycparser==2.19 pycurl==7.43.0.5 pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1592848020240/work pyflakes==2.1.1 pygame==2.0.1 Pygments==2.4.2 PyHamcrest==2.0.2 PyJWT==1.7.1 pylint==2.6.0 pymongo==3.7.2 PyNaCl @ file:///C:/ci/pynacl_1595009196976/work pyodbc===4.0.0-unsupported pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work pyparsing==2.4.7 PyQt5==5.15.2 PyQt5-sip==12.8.1 pyreadline==2.1 pyrsistent==0.15.4 PySocks==1.7.1 pytest==3.3.0 pytest-flask==0.11.0 python-dateutil==2.8.0 python-decouple==3.4 python-jsonrpc-server @ file:///tmp/build/80754af9/python-jsonrpc-server_1594397536060/work python-language-server @ file:///C:/ci/python-language-server_1594154480810/work python-mimeparse==1.6.0 python3-openid==3.2.0 pytz==2020.1 PyWavelets==1.1.1 pywin32==227 pywin32-ctypes==0.2.0 pywinpty==0.5.7 PyYAML==5.3.1 pyzmq @ file:///C:/Users/Rashidov/Desktop/mflix-python/pyzmq-22.0.3-cp38-cp38-win32.whl QDarkStyle==2.8.1 QtAwesome==0.7.2 qtconsole==4.5.5 QtPy==1.9.0 redis==3.5.3 regex @ file:///C:/ci/regex_1593435678736/work requests @ file:///tmp/build/80754af9/requests_1592841827918/work requests-oauthlib==1.3.0 rope==0.17.0 Rtree==0.9.4 ruamel-yaml==0.15.87 scikit-image==0.16.2 scikit-learn @ file:///C:/ci/scikit-learn_1592863447244/work scipy @ file:///C:/ci/scipy_1592916961137/work seaborn==0.10.1 selenium==3.141.0 Send2Trash==1.5.0 service-identity==18.1.0 simplegeneric==0.8.1 simplejson==3.17.2 singledispatch==3.4.0.3 sip==4.19.13 six==1.12.0 snowballstemmer==2.0.0 sortedcollections==1.2.1 sortedcontainers==2.2.2 soupsieve==2.0.1 Sphinx @ file:///tmp/build/80754af9/sphinx_1594223420021/work sphinxcontrib-applehelp==1.0.2 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==1.0.3 sphinxcontrib-jsmath==1.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.4 sphinxcontrib-websupport @ file:///tmp/build/80754af9/sphinxcontrib-websupport_1593446360927/work spyder @ file:///C:/ci/spyder_1594820234642/work spyder-kernels @ file:///C:/ci/spyder-kernels_1594744028846/work SQLAlchemy @ file:///C:/ci/sqlalchemy_1593446777599/work sqlparse==0.4.1 statsmodels==0.11.1 sympy @ file:///C:/ci/sympy_1594234724630/work tables==3.6.1 tblib==1.6.0 telepot==12.7 terminado==0.8.3 testpath==0.4.2 text-unidecode==1.2 textblob==0.15.3 threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl toml==0.10.2 toolz==0.10.0 tornado==6.0.3 tqdm @ file:///tmp/build/80754af9/tqdm_1593446365756/work traitlets==4.3.3 Twisted @ file:///C:/Users/Rashidov/Desktop/chat_app/Twisted-20.3.0-cp38-cp38-win32.whl txaio==21.2.1 typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1592847887441/work ujson==1.35 unicodecsv==0.14.1 urllib3==1.25.9 virtualenv==20.3.0 virtualenv-clone==0.5.4 watchdog @ file:///C:/ci/watchdog_1593447396356/work wcwidth==0.1.7 web.py==0.62 webencodings==0.5.1 Werkzeug==0.16.0 whitenoise==5.2.0 widgetsnbextension==3.5.1 win-inet-pton==1.1.0 win-unicode-console==0.5 wincertstore==0.2 wrapt==1.12.1 xlrd==1.2.0 XlsxWriter==1.2.9 xlwings==0.19.5 xlwt==1.3.0 xmltodict==0.12.0 yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work yarl==1.6.3 zict==2.0.0 zipp==0.6.0 zope.component==4.6.2 zope.deferredimport==4.3.1 zope.deprecation==4.4.0 zope.event==4.4 zope.hookable==5.0.1 zope.interface==4.7.1 zope.lifecycleevent==4.3 zope.proxy==4.3.5

            ...

            ANSWER

            Answered 2021-Mar-17 at 23:14

            Check out this Snakefood

            Especially the command sfood-imports which finds and lists import statements in python project

            So it is not depended on your env but rather on the code that you wrote

            Source https://stackoverflow.com/questions/66681708

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

            Vulnerabilities

            No vulnerabilities reported

            Install multipledispatch

            You can install using 'pip install multipledispatch' or download it from GitHub, PyPI.
            You can use multipledispatch like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            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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            Install
          • PyPI

            pip install multipledispatch

          • CLONE
          • HTTPS

            https://github.com/mrocklin/multipledispatch.git

          • CLI

            gh repo clone mrocklin/multipledispatch

          • sshUrl

            git@github.com:mrocklin/multipledispatch.git

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