semvec/pypi-packages huggingface dataset:
transfersh-client 1.1.3
transfer.sh command-line client
License: MIT
Keywords: transfer.sh command-line client tool utility cli CLI

============
Usage:
============


- After installation, you can run this package directly in command line. Launching it without arguments starts it in interactive mode:

================
Sample output:
================
::

    Github|⇒ transfer_files
    Enter path to file or directory: ./sysinfo
    Creating zipfile from files in... /home/path/to/directory/sysinfo
    Added file:  cython_tut.cpython-34m.so
    Added file:  cython_tut.pyx
    Added file:  setup.py
    Added file:  build
    Added file:  fib.cpython-34m.so
    Added file:  primes.c
    Added file:  .idea
    Added file:  fib.c
    Added file:  parse_proc_files.py
    Added file:  fib.pyx
    Added file:  primes.pyx
    Added file:  cython_tut.c
    Added file:  primes.cpython-34m.so

    Sending zipfile: files_archive_09-02_18:34.zip (size of the file: 0.407897 MB)
    Link to download zipfile(will be saved till 2017-09-16):
    Could not save metadata

    Link copied to clipboard
    Remove archive? (y/n, yes/no):yes
    Removing file... /home/path/to/directory/sysinfo/files_archive_09-02_18:34.zip
    Removed.



- Besides that, you can start it with arguments:

   -i --interactive - keys that will start app with prompts (same as running it without arguments)

   -d --directory - enter path to directory (relative or absolute), which files will be sent in an archive

   -f --file - same as --directory, but enter path to file

   --ra --rm-archive - delete created archive, after it was sent

   --rf --rm-file - delete file after it was sent

   -h --help - display help message

=============
Sample output
=============
::

    transfer.sh_client|dev⚡ ⇒ transfer_files -f test.txt --rf

    Sending file: /home/path/to/directory/transfer.sh_client/test.txt (size of the file: 0.000113 MB)
    Link to download file(will be saved till 2017-09-16):
    https://transfer.sh/CtaJs/test.txt
    Link copied to clipboard
    Removing file... /home/path/to/directory/transfer.sh_client/test.txt
    Removed.

================================
Example of usage inside scripts
================================
::

    #!/usr/bin/env python3

    from transfersh_client.app import send_to_transfersh, create_zip, remove_file


    def send_files_from_dir():
        directory = './'
        zip_file = create_zip(directory)  # creates zip archive and returns it's absolute path
        send_to_transfersh(zip_file)  # sends archive to transfer.sh
        remove_file(zip_file)  # removes it


    if __name__ == '__main__':
        send_files_from_dir()


============
Download
============
::

  pip3 install transfersh_client

==================
Requirements
==================
 - pyperclip
 - requests
aiogql 1.1.1
A fork of gql which uses asyncio & aiohttp for execution
License: MIT
Keywords: api graphql protocol rest relay gql client

GQL
===

This is a GraphQL client for Python. Plays nicely with ``graphene``,
``graphql-core``, ``graphql-js`` and any other GraphQL implementation
compatible with the spec.

GQL architecture is inspired by ``React-Relay`` and ``Apollo-Client``.

|travis| |pypi| |coveralls|

Installation
------------

::

    $ pip install aiogql

Usage
-----

The example below shows how you can execute queries against a local
schema.

.. code:: python

    from gql import gql, Client

    client = Client(schema=schema)
    query = gql('''
    {
      hello
    }
    ''')

    client.execute(query)

License
-------

`MIT
License <https://github.com/graphql-python/gql/blob/master/LICENSE>`__

.. |travis| image:: https://img.shields.io/travis/graphql-python/gql.svg?style=flat
   :target: https://travis-ci.org/graphql-python/gql
.. |pypi| image:: https://img.shields.io/pypi/v/gql.svg?style=flat
   :target: https://pypi.python.org/pypi/gql
.. |coveralls| image:: https://coveralls.io/repos/graphql-python/gql/badge.svg?branch=master&service=github
   :target: https://coveralls.io/github/graphql-python/gql?branch=master
topsis-101703189-garvita-chhabra 1.0.0
A Python package implementing TOPSIS technique.
License: MIT

# TOPSIS-Python

**Project 1 : UCS633**


Submitted By: **topsis-101703189-garvita-chhabra**

***
pypi: <https://pypi.org/project/topsis-101703189-garvita>
<br>
***

## What is TOPSIS

**T**echnique for **O**rder **P**reference by **S**imilarity to **I**deal
**S**olution (TOPSIS) originated in the 1980s as a multi-criteria decision
making method. TOPSIS chooses the alternative of shortest Euclidean distance
from the ideal solution, and greatest distance from the negative-ideal
solution. More details at [wikipedia](https://en.wikipedia.org/wiki/TOPSIS).

<br>

## How to use this package:

topsis-101703189-garvita-chhabra  can be run as in the following example:



### In Command Prompt
```
>> topsis data.csv "1,1,1,1" "+,+,-,+"
```
<br>
101703373-topsis 1.0.0
A Python package to get optimal solutiion.
License: MIT

TOPSIS Package

TOPSIS stands for Technique for Oder Preference by Similarity to Ideal Solution. It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. An assumption of TOPSIS is that the criteria are monotonically increasing or decreasing. In this Python package Vector Normalization has been implemented.

This package has been created based on Project 1 of course UCS633. Nikhil Vyas COE-17 101703373

In Command Prompt
>topsis data.csv "1,1,1,1" "+,+,-,+"
topsis-101703161-A-deven 1.0.0
A Python package implementing TOPSIS technique.
License: MIT

# TOPSIS-Python

**Project 1 : UCS633**


Submitted By: **topsis-101703161-deven**

***
pypi: <https://pypi.org/project/topsis-101703161-deven>
<br>
***

## What is TOPSIS

**T**echnique for **O**rder **P**reference by **S**imilarity to **I**deal
**S**olution (TOPSIS) originated in the 1980s as a multi-criteria decision
making method. TOPSIS chooses the alternative of shortest Euclidean distance
from the ideal solution, and greatest distance from the negative-ideal
solution. More details at [wikipedia](https://en.wikipedia.org/wiki/TOPSIS).

<br>

## How to use this package:

TOPSIS-topsis-101703161-deven  can be run as in the following example:



### In Command Prompt
```
>> topsis data.csv "1,1,1,1" "+,+,-,+"
```