fastcache | Fast thread-safe inmemory cache | Caching library
kandi X-RAY | fastcache Summary
kandi X-RAY | fastcache Summary
Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead
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QUESTION
I have a problem with updating packages in conda. The list of my installed packages is:
...ANSWER
Answered 2021-Apr-14 at 20:26Channel pypi means that the package was installed with pip. You may need to upgrade it with pip as well
QUESTION
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 23:14Check 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
QUESTION
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 15:37Pipfile
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
QUESTION
ANSWER
Answered 2021-Jan-11 at 20:49Boost is not installed. You can try this
QUESTION
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 04:11Your package list seems to be missing the required library (pyCrypto
).
Not too familiar with conda, but try:
QUESTION
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 09:00Ok, 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:
QUESTION
For getting the list of installed libraries, I run the following command in Jupyter Notebook:
...ANSWER
Answered 2020-Nov-17 at 11:03We 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:
QUESTION
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 20:47If you want a simple cache function:
QUESTION
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 04:17I just did the following and wasn't able to reproduce your error:
- make a new compute instance
- open it up using JupyterLab
- open a new terminal
conda activate azureml_py36
conda install seaborn -y
- open a new notebook and run
import seaborn as sns
- Are you using the kernel,
Python 3.6 - AzureML
(i.e. theazureml_py36
conda env)? - Have you tried restarting the kernel and/or creating a new compute instance?
QUESTION
I'm going to use rasterio in python. I downloaded rasterio via
...ANSWER
Answered 2020-Sep-22 at 05:37I'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!
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