backcall | Super lightweight , memory-efficient callback methods | Game Engine library

by auser Ruby Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | backcall Summary

backcall is a Ruby library typically used in Gaming, Game Engine applications. backcall has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Super lightweight, memory-efficient callback methods

Support

Quality

Security

License

Reuse

Support

backcall has a low active ecosystem.

It has 10 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

backcall has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of backcall is current.

Quality

backcall has no bugs reported.

Security

backcall has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

backcall does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

backcall releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed backcall and discovered the below as its top functions. This is intended to give you an instant insight into backcall implemented functionality, and help decide if they suit your requirements.

Define callback method
Creates a string representing the given block
Extend callback method .
Extend the callbacks
Stores the given process .
Define callback
Define callback class
Runs the callback for the given callback .
Initialize a callback .
All callbacks .

Get all kandi verified functions for this library.

backcall Key Features

No Key Features are available at this moment for backcall.

backcall Examples and Code Snippets

No Code Snippets are available at this moment for backcall.

Community Discussions

Trending Discussions on backcall

Mac: libGL.so.1: cannot open shared object file: No such file or directory

Push rejected, fails Python App to Heroku

Error while Installing Packages from requirements.txt in python 3.9

Updating packages in conda

Python Pandas "Error: Could not install packages due to an OSError: No such file or directory:"

Installing module using Anaconda caused issues on my Virtual Environment

Why doesn't `conda env export` list all pip packages?

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch

How to create a requirements.txt file in Django project?

PackagesNotFoundError on conda

QUESTION

Mac: libGL.so.1: cannot open shared object file: No such file or directory

Asked 2021-Jun-02 at 13:31

I am trying to build an image with the following Dockerfile:

...

ANSWER

Answered 2021-Jun-02 at 13:31

A workaround for my problem is to use opencv-python-headless headless instead.

Source https://stackoverflow.com/questions/67765727

QUESTION

Push rejected, fails Python App to Heroku

Asked 2021-May-09 at 08:14

Iam pushing my python app to heroku and it failed at dependencies, it shows error that Rust packet manager is not installed, but it is installed on my pc.

All Depedencies went fine, but at the end, iam getting error, here is log

...

ANSWER

Answered 2021-May-09 at 08:14

The rust dependency is bring by pywinpty that needs also MSVC. This package

PyWinpty allows creating and communicating with Windows processes that receive input and print outputs via console input and output pipes. PyWinpty supports both the native ConPTY interface and the previous, fallback winpty library.

Then it is not needed on stack heroku-20 that is Ubuntu.

Removing pywinpty from requirements.txt should help.

Source https://stackoverflow.com/questions/67394704

QUESTION

Error while Installing Packages from requirements.txt in python 3.9

Asked 2021-May-08 at 18:43

when i run pip install -r requirements.txt i get

ERROR: Could not find a version that satisfies the requirement cffi==1.14.0 (from versions: 0.1, 0.2, 0.2.1, 0.3, 0.4, 0.4.1, 0.4.2, 0.5, 0.6, 0.7, 0.7.1, 0.7.2, 0.8, 0.8.1, 0.8.2, 0.8.3, 0.8.4, 0.8.5, 0.8.6, 0.9.0, 0.9.1, 0.9.2, 1.0.0, 1.0.1, 1.0.2.post2, 1.0.3, 1.1.0, 1.1.1, 1.1.2, 1.2.0.post1, 1.2.1, 1.3.0, 1.3.1, 1.4.0, 1.4.1, 1.4.2, 1.5.0, 1.5.1, 1.5.2, 1.6.0, 1.7.0, 1.8.2, 1.8.3, 1.9.0, 1.9.1, 1.10.0, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.11.4, 1.11.5, 1.12.0, 1.12.1, 1.12.2, 1.12.3, 1.13.0, 1.13.1, 1.13.2, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5) ERROR: No matching distribution found for cffi==1.14.0

by the way my requirements.txt file contains

...

ANSWER

Answered 2021-May-08 at 18:43

Pip decided that your system is not compatible. Please check if your Python version is compatible with the requirements of the module. You can get your Python version by executing python --version.

Source https://stackoverflow.com/questions/67450935

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

Python Pandas "Error: Could not install packages due to an OSError: No such file or directory:"

Asked 2021-Apr-12 at 02:38

System:Win10
IDE: VSCode
Python path: C:\Users\user\AppData\Local\Continuum\miniconda3

...

ANSWER

Answered 2021-Apr-12 at 02:38

The reason is that the python used by the internal terminal of VS Code is different from the python environment you currently select in VS Code (shown in the lower left corner of VS Code).

I noticed that you are using the powershell terminal, which does not automatically activate the conda environment by default in VS Code.

Please select conda environment in VS Code, it will be displayed in the lower left corner of VS Code. (F1, Python: Select Interpreter)
Please enter "Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope Process" in the VS Code terminal, and then reopen the VS Code terminal (Ctrl+Shift+`). When using the command "python --version", the python version it displays is the same as the one displayed in the lower left corner.
If the module is not installed in this environment, please follow it. (pip install pandas)

Update:

In addition, please try to use other terminals, such as the 'cmd' terminal. Can I use Cmder's shell with the terminal on Windows?

Reference: Python environments in VS Code.

Source https://stackoverflow.com/questions/66891582

QUESTION

Installing module using Anaconda caused issues on my Virtual Environment

Asked 2021-Mar-31 at 19:41

I attempted to update pandas_datareader on my Python 3.5.2 virtual Environment using Anaconda like this:

...

ANSWER

Answered 2021-Mar-31 at 19:41

At the end, I ended up solving this by rolling back the changes I made using conda list --revisions to find out until which previous set up I had to roll back to, then afterwards I ran conda install --revision N (where N is the revision you want to trace back to). Suppose the changes you made are rev 4, you want to undo them, and sit back again under rev 3 (your previously "known and working" environment you had), so you run conda install --revision 3 for that case.

Afterwards I re-installed pandas_datareader with python -m pip install pandas-datareader and everything went good again.

Thanks anyways and I hope if someone else runs into this issue, can find this post valuable.

Source https://stackoverflow.com/questions/66891673

QUESTION

Why doesn't `conda env export` list all pip packages?

Asked 2021-Mar-28 at 09:18

To list all of the packages in my active environment in a format that resembles pip freeze:

...

ANSWER

Answered 2021-Mar-28 at 09:05

conda only keeps track of the packages it installed
pip freeze will give you the packages that were either installed using pip package manager or they used setuptools in their setup.py so conda build generated the egg information.

conda vs pip

Downgrading the pip may fix this issue, you can check this out: conda issues

Source https://stackoverflow.com/questions/66839700

QUESTION

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch

Asked 2021-Mar-21 at 16:24

Having trouble with CUDA + Pytorch this is the error. I reinstalled CUDA and cudnn multiple times.

Conda env is detecting GPU but its giving errors with pytorch and certain cuda libraries. I tried with Cuda 10.1 and 10.0, and cudnn version 8 and 7.6.5, Added cuda to path and everything.

However anaconda is showing cuda tool kit 9.0 is installed, whilst I clearly installed 10.0, so I am not entirely sure what's the deal with that.

...

ANSWER

Answered 2021-Mar-20 at 10:44

From the list of libraries, it looks like you've installed CPU only version of the Pytorch.

Source https://stackoverflow.com/questions/66711799

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

QUESTION

PackagesNotFoundError on conda

Asked 2021-Mar-17 at 21:31

I am trying to recreate a conda environment. From one environment I executed conda list --export > req.txt
and now I am trying to recreate a new environment with the same packages using
conda create --name --file req.txt

I get the following error:

...

ANSWER

Answered 2021-Mar-17 at 21:31

The pypi in the build imply that these packages were all installed from PyPI, presumably using pip. The conda list --export does not capture pip-installed packages in a form that allows for recreating the environment. Instead, try dumping to a YAML, which will discriminate such packages and make it possible to recreate the environment:

Source https://stackoverflow.com/questions/66678166

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

Vulnerabilities

No vulnerabilities reported

Install backcall

You can download it from GitHub.
On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

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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