send2trash | Python library to natively send files

by arsenetar Python Version: 1.8.3 License: BSD-3-Clause

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

kandi X-RAY | send2trash Summary

send2trash is a Python library. send2trash has no bugs, it has a Permissive License and it has low support. However send2trash has 1 vulnerabilities and it build file is not available. You can install using 'pip install send2trash' or download it from GitHub, PyPI.

Python library to natively send files to Trash (or Recycle bin) on all platforms.

Support

Quality

Security

License

Reuse

Support

send2trash has a low active ecosystem.

It has 232 star(s) with 36 fork(s). There are 7 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 22 open issues and 29 have been closed. On average issues are closed in 199 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of send2trash is 1.8.3

Quality

send2trash has 0 bugs and 4 code smells.

Security

send2trash has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

send2trash code analysis shows 1 unresolved vulnerabilities (1 blocker, 0 critical, 0 major, 0 minor).

There are 0 security hotspots that need review.

License

send2trash 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.

Reuse

send2trash releases are available to install and integrate.

Deployable package is available in PyPI.

send2trash has no build file. You will be need to create the build yourself to build the component from source.

send2trash saves you 305 person hours of effort in developing the same functionality from scratch.

It has 734 lines of code, 81 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 send2trash and discovered the below as its top functions. This is intended to give you an instant insight into send2trash implemented functionality, and help decide if they suit your requirements.

Convert paths to trash
Converts a SHFileOptResultResult object to the appropriate error code
Get device name
Create a FileOperationProgressSink object
Create directory if necessary
Check if op result is in ctypes
Finds the root directory of a volume
Convert paths to strings
Find the mount point
Return True if path is a parent of parent
Return the path after the given prefix
Gets a short path name from a long name
Find the root volume fallback directory
Return the trashed info for src
Finds the path to the volume global
Move src to destination directory
Return prefix and long - path prefix
Format a date

Get all kandi verified functions for this library.

send2trash Key Features

No Key Features are available at this moment for send2trash.

send2trash Examples and Code Snippets

No Code Snippets are available at this moment for send2trash.

Community Discussions

Trending Discussions on send2trash

Getting TypeError: argument of type 'CRS' is not iterable with OSMnx Package

Deleting or sending 2 Trash Duplicates Files

Updating packages in conda

Jupyter Notebook Cannot Connect to Kernel, Likely due to Zipline / AssertionError

Installing module using Anaconda caused issues on my Virtual Environment

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?

Telegram bot on Heroku returns ModuleNotFoundError

I constantly get ResolvePackageNotFound

Trouble installing turbodbc

QUESTION

Getting TypeError: argument of type 'CRS' is not iterable with OSMnx Package

Asked 2021-May-13 at 04:04

This question appears to have been answered before, but none of the answers helped in my case. First I should say that I've followed the OSMnx Installation steps exactly. Then tried to run the following code in a Jupyter Notebook:

...

ANSWER

Answered 2021-May-13 at 04:04

You have installed an extremely old version of OSMnx. Your conda list output shows you have version 0.7.3 installed, and that was released 3 or 4 years ago. It's so old that it's incompatible with the modern features of GeoPandas and pyproj, including the modern CRS object that's causing your error. I'm not clear how you did it! My best guess is you installed using one of the old tags on this page, which do point to version 0.7.3.

This should be fixed by removing the old environment and then following the installation instructions here, like:

Source https://stackoverflow.com/questions/67510332

QUESTION

Deleting or sending 2 Trash Duplicates Files

Asked 2021-Apr-24 at 18:10

I have a csv file that has duplicates when I seeking to do is to delete or send to trash all except one, to have a single file only. The below shows an example of the csv file and code. How can I get this done? Thanks

...

ANSWER

Answered 2021-Apr-24 at 18:10

First of all, I think you meant to reverse the cases. If there are more than 2 columns you want to delete all files except 1, right? And if there's only 1, keep the file?

This code deletes all files except those in the leftmost column:

Source https://stackoverflow.com/questions/67245027

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

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

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

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

I constantly get ResolvePackageNotFound

Asked 2021-Jan-17 at 05:16

When I type conda env create -f environment.yml

I constantly get

...

ANSWER

Answered 2021-Jan-15 at 14:57

Conda does not work well with large environments in which everything pinned to specific versions (in contrast to other ecosystems in which pinning everything is the standard). The result of conda env export, which is what this probably is, here also includes the build numbers, which are almost always too specific (and often platform-specific) for the purpose of installing the right version of the software. It's great for things like reproducibility of scientific work (specific versions and builds of everything need to be known), but not great for installing software (there is plenty of flexibility in versions that should work with any package).

I'd start by removing the build pins (dropping everything after the second = in each line) so that only the versions are pinned. After that, I'd start removing version pins.

Source https://stackoverflow.com/questions/65735532

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

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

Vulnerabilities

No vulnerabilities reported

Install send2trash

You can install using 'pip install send2trash' or download it from GitHub, PyPI.
You can use send2trash 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 .

Find more information at: