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Needle is a tool for testing your CSS and visuals with Selenium and nose. It checks that visuals (CSS/fonts/images/SVG/etc.) render correctly by taking screenshots of portions of a website and comparing them against known good screenshots. It also provides tools for testing calculated CSS values and the position of HTML elements.
Needle Python Library This Python library provides convenient acccess to Needle API. There are various methods and data types which, we believe will help you explore Needle API quickly. There may be some functionality available in REST API earlier than this Python library. In any case, we recommend to take look the the complete documentation. Thank you for flying with us. 🚀 Installation This library requires Python >3.8 and pip to use. You don't need the sources unless you want to modify it. Install with: pip install needle-python Usage ⚡️ To get started, generate an API key for your account in developer settings menu at Needle. Note that your key will be valid until you revoke it. Set the following env variable before you run your code: export NEEDLE_API_KEY=<your-api-key> NeedleClient reads the API key from the environment by default. If you like to override this behaviour you can pass it in as a parameter. Retrieve context from Needle from needle.v1 import NeedleClient from need
**************************** Neo4j Bolt Driver for Python ****************************This repository contains the official Neo4j driver for Python.Starting with 5.0, the Neo4j Drivers will be moving to a monthly release cadence. A minor version will be released on the last Friday of each month so as to maintain versioning consistency with the core product (Neo4j DBMS) which has also moved to...
By design asyncio does not allow its event loop to be nested. This presents a practical problem: When in an environment where the event loop is already running it's impossible to run tasks and wait for the result. Trying to do so will give the error "RuntimeError: This event loop is already running". The issue pops up in various environments, such as web servers, GUI applications and in Jupyter notebooks. This module patches asyncio to allow nested use of asyncio.run and loop.run_until_complete.
A pure Python network address representation and manipulation library. netaddr provides a Pythonic way of working with :- - IPv4 and IPv6 addresses and subnets - MAC addresses, OUI and IAB identifiers, IEEE EUI-64 identifiers - arbitrary (non-aligned) IP address ranges and IP address sets - various non-CIDR IP range formats such as nmap and glob-style formats Included are routines for :- - generating, sorting and summarizing IP addresses and networks - performing easy conversions between address notations and formats - detecting, parsing and formatting network address representations - performing set-based operations on groups of IP addresses and subnets - working with arbitrary IP address ranges and formats - accessing OUI and IAB organisational information published by IEEE - accessing IP address and block information published by IANA For details on the latest updates and changes, see :- http://github.com/drkjam/netaddr/blob/rel-0.7.x/CHANGELOG API documentation for the latest release is available here :- http://packages.python.org/netaddr/
A network address manipulation library for Python Provides support for: Layer 3 addresses * IPv4 and IPv6 addresses, subnets, masks, prefixes * iterating, slicing, sorting, summarizing and classifying IP networks * dealing with various ranges formats (CIDR, arbitrary ranges and globs, nmap) * set based operations (unions, intersections etc) over IP addresses and subnets * parsing a large variety of different formats and notations * looking up IANA IP block information * generating DNS reverse lookups * supernetting and subnetting Layer 2 addresses * representation and manipulation MAC addresses and EUI-64 identifiers * looking up IEEE organisational information (OUI, IAB) * generating derived IPv6 addresses
A Python library for representing and manipulating network addresses. Provides support for: Layer 3 addresses IPv4 and IPv6 addresses, subnets, masks, prefixes iterating, slicing, sorting, summarizing and classifying IP networks dealing with various ranges formats (CIDR, arbitrary ranges and globs, nmap) set based operations (unions, intersections etc) over IP addresses and subnets parsing a large variety of different formats and notations looking up IANA IP block information generating DNS reverse lookups supernetting and subnetting Layer 2 addresses representation and manipulation MAC addresses and EUI-64 identifiers looking up IEEE organisational information (OUI, IAB) generating derived IPv6 addresses Documentation: https:/netaddr.readthedocs.io/en/latest/ Source code repository: https:/github.com/netaddr/netaddr/ PyPI page: https:/pypi.org/project/netaddr/ Share and enjoy!
An IPython-based shell environment for the netaddr library
Netbox ACI Plugin A Netbox plugin for Cisco ACI related objects in Netbox. Features This plugin provides the following models to be able to document an Cisco ACI setup: Attachable Access Entity Profiles Application Profiles Bridge Domains Contracts (Standard) Endpoint Groups Endpoint Security Groups Interface Policy Groups L3 Outs Link Level Policies Contributing This project is currently maintained jointly by: Marc-Aurel Mohr-Lenné Compatibility Below listed plugin Versions has been tested with its corresponding NetBox Version. Netbox Plugin 4.1.3 >= 0.0.1 4.2.0 >= 0.0.1 4.3.1 >= 0.0.2 4.3.4 >= 0.0.6 Installation Option 1 Install using Docker Enable the plugin in <netbox docker>/configuration/plugins.py. Option 2 $ python3 -m pip install netbox-aci Enable the plugin in <netbox>/configuration.py. PLUGINS = [ "netbox_aci" ] Requirements Custom Field: - name: "gateway" label: "Gateway" object_types: - "ipam.ipaddress" required: false ty