fastcache | Fast thread-safe inmemory cache | Caching library

 by   VictoriaMetrics Go Version: v1.12.1 License: MIT

kandi X-RAY | fastcache Summary

kandi X-RAY | fastcache Summary

fastcache is a Go library typically used in Server, Caching applications. fastcache has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead
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              fastcache has a medium active ecosystem.
              It has 1704 star(s) with 146 fork(s). There are 35 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 37 open issues and 16 have been closed. On average issues are closed in 9 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fastcache is v1.12.1

            kandi-Quality Quality

              fastcache has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              fastcache is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fastcache 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.

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            fastcache Key Features

            No Key Features are available at this moment for fastcache.

            fastcache Examples and Code Snippets

            No Code Snippets are available at this moment for fastcache.

            Community Discussions

            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

            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

            Telegram bot on Heroku returns ModuleNotFoundError
            Asked 2021-Feb-25 at 18:00

            I've built this telegram bot yesterday, and it ran smoothly on Heroku.

            However, today I added a new package python-google-places and I attempted to push to Heroku but received the following errors in Heroku's log:

            ...

            ANSWER

            Answered 2021-Feb-24 at 15:37

            Pipfile is redundant for Heroku. But it is ok to use it for development.

            Most probably that you are erasing it from dependencies using pipenv. Try to add to Pipfile and then do pip freeze

            Source https://stackoverflow.com/questions/66351049

            QUESTION

            Trouble installing turbodbc
            Asked 2021-Jan-11 at 20:49

            I am attempting to install turbodbc on my Ubuntu 20.10 machine.
            My specs are as follows: pip 20.2.4, Python 3.8.5 , gcc (Ubuntu 10.2.0-13ubuntu1) 10.2.0

            I have attempted the solutions provided in the previous posts here and and here.

            I am getting this error message

            ...

            ANSWER

            Answered 2021-Jan-11 at 20:49

            Boost is not installed. You can try this

            Source https://stackoverflow.com/questions/65674126

            QUESTION

            I have a ModuleNotFoundError: No module named 'Crypto'
            Asked 2020-Dec-10 at 05:37

            Please need help

            When I try to run myfile.py it says, ModuleNotFoundError: No module named 'Crypto' ,but I already have the path for 'conda' and 'anaconda3' in my environment variables, I also have uninstalled and reinstalled pycryptodome yet it still says ModuleNotFoundError: No module named 'Crypto'.

            This is what I used in myfile.py

            ...

            ANSWER

            Answered 2020-Nov-24 at 04:11

            Your package list seems to be missing the required library (pyCrypto).

            Not too familiar with conda, but try:

            Source https://stackoverflow.com/questions/64955136

            QUESTION

            Different sample sizes in kfold between Pycharm and Spyder
            Asked 2020-Nov-18 at 09:00

            I'm trying to classify texts into categories. I've developed the code which does this, but kfold sample sizes differ on Spyder and Pycharm, even though the code is exactly the same.

            This is the code:

            ...

            ANSWER

            Answered 2020-Nov-18 at 09:00

            Ok, I found the problem. As I mentioned in my post, the so-called problem arises based on the versions of the libraries. And it seems, Keras now displays the batch number instead of sample count. Here are the similar posts:

            Stackoverflow Post 1

            Stackoverflow Post 2

            Source https://stackoverflow.com/questions/64710225

            QUESTION

            How to store result of pip command into Pandas Datafarme
            Asked 2020-Nov-17 at 11:04

            For getting the list of installed libraries, I run the following command in Jupyter Notebook:

            ...

            ANSWER

            Answered 2020-Nov-17 at 11:03

            We can use os module to create the pip list, then we use pandas.read_csv with \s+ as seperator to read the pip list into a dataframe:

            Source https://stackoverflow.com/questions/64873796

            QUESTION

            I keep getting "undefined" as an error, function not returning anything
            Asked 2020-Oct-28 at 20:51

            I've been trying to figure out why I keep getting undefined, and I don't really see why, I know that I would get undefined if my function isn't returning anything, but in this case, even with returning in two places, I am still getting undefined. I think that the reason for that is that maybe I am not returning the value from innerFunc properly? I'm thinking maybe there's something wrong with my syntax here: innerFunc(arg) but I'm not sure how it is wrong, or what to change it to.

            Any help would be appreciated.

            Instructions:

            Create a function "fastCache" that takes one argument (a function) and returns a function. When fastCache is invoked it creates an object that tracks calls to the returned function, where each input to the returned function is associated with its output. Every subsequent call to that returned function with the same argument will return the output directly from the object, instead of invoking the original function again.

            ...

            ANSWER

            Answered 2020-Oct-28 at 20:47

            If you want a simple cache function:

            Source https://stackoverflow.com/questions/64580972

            QUESTION

            "ImportError: No module named seaborn" in Azure ML
            Asked 2020-Oct-22 at 16:57

            Created a new compute instance in Azure ML and trained a model with out any issue. I wanted to draw a pairplot using seaborn but I keep getting the error "ImportError: No module named seaborn"

            I ran !conda list and I can see seaborn in the list

            ...

            ANSWER

            Answered 2020-Sep-07 at 04:17

            I just did the following and wasn't able to reproduce your error:

            1. make a new compute instance
            2. open it up using JupyterLab
            3. open a new terminal
            4. conda activate azureml_py36
            5. conda install seaborn -y
            6. open a new notebook and run import seaborn as sns
            Spitballing
            1. Are you using the kernel, Python 3.6 - AzureML (i.e. the azureml_py36 conda env)?
            2. Have you tried restarting the kernel and/or creating a new compute instance?

            Source https://stackoverflow.com/questions/63770171

            QUESTION

            Import rasterio failed. Reason: image not found
            Asked 2020-Sep-22 at 05:37

            I'm going to use rasterio in python. I downloaded rasterio via

            ...

            ANSWER

            Answered 2020-Sep-22 at 05:37

            I've got some experience with rasterio, but I am not nearly a master with it. If I remember correctly, rasterio requires you to have installed the program GDAL(both binaries and python utilities), and some other dependencies listed on the PyPi page. I don't use conda at the moment, I like to use the regular python 3.8 installer with pip. Given what I'm seeing with your installation, I would uninstall rasterio and follow a different installation procedure.

            I follow the instructions listed here: https://rasterio.readthedocs.io/en/latest/installation.html
            This page also has separate instructions for those using Anaconda.

            The GDAL installation is by far the most annoying but once it's done, the hard part is over. The python utilities for both rasterio and gdal can be found here:
            https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
            The second link is also provided on the PyPi page but I like to keep it bookmarked because there's a lot of good resources there!

            Source https://stackoverflow.com/questions/64002714

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

            Vulnerabilities

            No vulnerabilities reported

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            You can download it from GitHub.

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