Saravanan666/pypi-org huggingface dataset:
Package: networking-ovn
OVN provides virtual networking for Open vSwitch and is a component of the Open
vSwitch project.  This project provides integration between OpenStack Neutron
and OVN.Free software: Apache licenseSource:https://opendev.org/openstack/networking-ovnBugs:https://bugs.launchpad.net/networking-ovnMailing list:http://lists.openstack.org/cgi-bin/mailman/listinfo/openstack-discussIRC: #openstack-neutron-ovn on Freenode.Docs:https://docs.openstack.org/networking-ovn/latestTeam and repository tagsRelease notes for the project can be found at:https://docs.openstack.org/releasenotes/networking-ovn/
Package: networking-ovs-dpdk
A Collection of Agents and Drivers to support managing DPDK accelerated Open vSwitch with neutronFree software: Apache licenseSource:http://git.openstack.org/cgit/stackforge/networking-ovs-dpdkInstalltion:http://git.openstack.org/cgit/stackforge/networking-ovs-dpdk/tree/doc/source/installation.rstExample local.conf:http://git.openstack.org/cgit/stackforge/networking-ovs-dpdk/tree/doc/source/_downloads/local.conf_exampleUsage:http://git.openstack.org/cgit/stackforge/networking-ovs-dpdk/tree/doc/source/usage.rstBugs:http://bugs.launchpad.net/networking-ovs-dpdkCode Reviews:https://review.openstack.org/#/q/status:open+networking-ovs-dpdk,n,zQuestions: E-mail the dev mailing list with the [networking-ovs-dpdk] tagmailto:openstack-dev@lists.openstack.org?subject=[networking-ovs-dpdk]FeaturesTODO
Package: networking_plumgrid
PLUMgrid Open Networking Suite drivers for NeutronFree software: Apache licenseDocumentation:http://docs.openstack.org/developer/networking-plumgridSource:http://git.openstack.org/cgit/openstack/networking-plumgridBugs:http://bugs.launchpad.net/networking-plumgridPyPI package:https://pypi.python.org/pypi/networking-plumgridConfig and InstallationFor configuration, installation and any other details, please take
a look at the Wiki::http://wiki.openstack.org/PLUMgrid-NeutronRequirementsPLUMgrid IOVisorPLUMgridLibrarySupported APIs and API ExtensionsNetworksSubnetsPortsExternal NetworksRoutersSecurity GroupsFloating IPsQuotasPort BindingProvider NetworksExtra RoutePort BundlesNATDNS
Package: networking-spp
This project includes two VIM (Virtual Infrastructure Manager) integrations
of a high speed communication platform, Soft Patch Panel (SPP).Neutron ML2 mechanism driver and agent under the/opentstackdirectory
enables SPP in OpenStack environments. The/devstackdirectory includes
the installation script for OpenStack.Kubernetes Operator for SPP is under theoperatordirectory enables
SPP in Container environments.Free software: Apache licenseSource:https://opendev.org/x/networking-sppBugs:https://bugs.launchpad.net/networking-spp
Package: network-interface
network-interfaceIn order to install, open the command prompt and type:pip install network_interfaceIn order to import:from network_interface import NetworkInterfaceIn this module you will find NetworkInterface class which is an abstract class to standardize the way of creating a network graph in networkx.Once you install this library, you have to install igraph library where:Refer toigraph/pythonif you are a linux or mac userRefer tostackoverflowif you are a windows userIn order to use the class, you have to inherit this class and define the following abstract methods according to your dataset:get_nodesget_edgesThis class also has some helpful methods like (use help function to get more info about them):get_nodes_listget_edges_listcreate_network_graphnodes_df_to_nodes_listcalculate_nodes_positions(using the most common algorithms to calculate nodes positions in a network graph)append_nodes_positions_to_nodes_attributesget_nodes_pos_dictThe following directoryExampleshows a concrete example about how to use the class
Package: networkl
NetworkL is a Python package which extends the scope of the NetworkX package
to eXtra-Large time-varying graphs. It supports the manipulation and efficient
longitudinal analysis of complex networksDocumentationhttp://networkl.github.ioDevelopmenthttps://github.com/networkl/networklA quick example that update the all-pairs shortest path lengths in
an undirected graph by using the SparseGeodesicMatrix data structure:>>> import networkx as nx
>>> import networkl as nl
>>> from random import randrange
>>>
>>> N=1000
>>> G = nx.erdos_renyi_graph(N,0.1)                                 #create a graph
>>> SparseD = nl.sparse_distance_matrix(G)                          #compute the Sparse Distance Matrix
>>>
>>> new_edges = [(randrange(N),randrange(N)) for c in range(100)]   #add edges and update Distance Matrix
>>> for i,j in new_edges:
>>>     if G.has_edge(i,j) or i==j:
>>>          continue
>>>     nl.update_distance_matrix(G,SparseD,i,j,mode='add')
>>>
>>> print SparseD[1][1]                                             #accessing distance valuesDistributed under the GNU v2 license; see LICENSE.txt:Copyright (C) 2015 NetworkL Developers
Moreno Bonaventura <m.bonaventura@qmul.ac.uk>
Package: networklab
Overviewnetlabis bringing infrastructure-as-code concepts to networking labs. You'll describe your high-level network topology and routing design in a YAML file, and the tools in this repository willCreateVagrantfileconfiguration file forVirtualBoxorlibvirtenvironmentCreatecontainerlabconfiguration fileCreate Ansible inventory and configuration fileCreate IPv4 and IPv6 addressing plan and OSPFv2, OSPFv3, EIGRP, IS-IS, and BGP routing designConfigure IPv4, IPv6, VLANs, VRFs, VXLAN, LLDP, BFD, OSPFv2, OSPFv3, EIGRP, IS-IS, BGP, VRRP, anycast gateways, MPLS, BGP-LU, L3VPN (VPNv4 + VPNv6), 6PE, EVPN, SR-MPLS, or SRv6 on your lab devices.Instead of wasting time creating lab topology in a GUI and configuring boring details, you'll start with a lab preconfigured according to your specifications.Interested?Read the documentationandinstallation guidelines.ReleasesThe latest release isrelease 1.7.2, which contains fixes for a few annoying bugs (more details in therelease notes).If you encounter bugs using release 1.7.x, please downgrade to1.6.4andopen a GitHub issue.An Overview of CLI Commandsnetlab up: Usesnetlab createto create configuration files, starts the virtual lab, and usesnetlab initialto deploy device configurations, including IP addressing, LLDP, OSPF, BGP, IS-IS, EIGRP, VRRP, VLANs, VRFs, MPLS, SR-MPLS, VXLAN, EVPN and SRv6.More detailsnetlab down: Destroys the virtual lab.More detailsnetlab restart: Restart and/or reconfigure the virtual lab.More detailsnetlab config: Applies additional Jinja2 configuration templates to network devices.netlab collect: Using Ansible fact gathering or other device-specific Ansible modules, collects device configurations and saves them in the specified directory (default:config).netlab connect: Use SSH ordocker exectoconnect to a lab deviceusing device names, management network IP addresses (ansible_host), SSH port, and username/passwords specified in lab topology ornetlabdevice defaults.netlab report: Creates a report from the transformed lab topology data.More detailsnetlab graph: Creates a lab topology graph description in Graphviz or D2 format.More detailsnetlab show: Display system settings in tabular, text, or YAML format.More details
Package: networklib
Infonetworklib 2018-0818Author: Zhao Mingming <471106585@qq.com>Copyright: This module has been placed in the public domain.version:0.0.1-add func get_image, download the flv and split it into image-add func upload_file, upload_file to the coverversion:0.0.2-add func curl, download file to localversion:0.0.4-add func simple_get_imageversion:0.0.5-replace the flv2img by video2imgFunctions:` get_image, download the flv and split it into image`` upload_file, upload_file to the cover`How To Use This Moduleexample code:x=np.array([-0.2,0.3,0.4,0.5])y=np.array([0.2,0.4,0.1,-0.4])norm(x,np.array([0,500]))img=draw_curve(x,y)img=draw_curve(x,y,title='my title',xlabel='my x label',ylabel='my y lable')img=cv2.imread('../examples/faces/2007_007763.jpg')img_gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)# img2bwimg_bw=image2bw(img_gray)printimg.shapeimage2text(img,(80,40))image2text(img,(80,40))Refresh20180531
Package: network-manager-dispatcher-app
DNS Leak TestA Job for NetworkManager dispatcher.dNetwork Manager dispatcher scripts - allows you to respond to events on network interfaces by implementing a simple interface and staging the scripts according to a certain pattern.How is it used?After installing on your machine, it runs automatically in the background by NetworkManager executing the configured scripts for us when the network events are received. This implementation works for any ssid that is connected to/from.When you boot up and your computer establishes a connection with the outside world you will begin to hear a telephone dialing sound during the query to the bash.ws site. Upon receipt of the dnsleaktest results, one of three sounds are played indicating the results:1. A bell is played. A bright "ding" is played when the dnsleaktest results are that "DNS is not leaking".

2. A dissonant shrill sound is played indicating that "DNS is probably leaking".

3. A telephone dial tone is played indicating "No internet connection."Based on this sound you can carry on as usual with your online session or take the appropriate action with your VPN connection etc. to ensure that you aren't leaking DNS for whatever reason. This was largely for making my local network security easier to maintain. My setup will not alow any connected devices to have outside access until the VPN tunnel has been established, but I was still having to test the DNS leaking manually each time. Now I can just wait for the bell!Install 📩# 1. clone the repogitclonehttps://github.com/meads/network-manager-dispatcher-app# 2. change directory to the repocdnetwork-manager-dispatcher-app# 3. (optional) update the bash.ws/dnsleak.sh scriptmakeupdate-lib# 4. Installs 'network-manager-dispatcher-app' for root user from#    pypi index; copies and symlinks the copy of main.py and#    bash.ws/dnsleak.sh under /etc/NetworkManager/dispatcher.d/makePost Installation Verification ✔️# NOTE: you may want to run `make logs` prior to this command to see the application logs as they are written."# Should hear a dial tone after running this commandmakewifi-off# Should hear a telephone ringing after running this command, having previously run the above command.makewifi-onDiagnose 🕵️# This will open the logs file to view during or after the connection/disconnection process to see the details.makelogsKill it with fire!!! 🔥# If something has malfunctioned and the sounds are in a loop or whatever, just run the following to kill the process.makekill-rogue-sound-threadsRemove 🗑️# This will remove any configurations currently under /etc/NetworkManager/dispatcher.d/ and will prompt for root password.makecleanDeploy 🚀These steps are for mecreate separate commit with version bumps in Makefile "install" target where version is specified at the end of the command. Also update
the setup.cfg version.push the changes to github.make distribute(creates a new distribution in the PyPi index)Thanks!Thanks to github user macvk for contributing what is known here as bash.ws/dnsleak.sh script which can also befound here.
Package: network-runner
OverviewNetwork-Runner is a python library that abstracts management and
interaction with switching hardware to Ansible Networking. This library is not
tested with all the modules included with Ansible Networking. In theory it
should work with any switch that has compatible modules included with Ansible
Networking if the provider tasks are added to this library’s Ansible role.
See the contributor documentation for more information
about adding support for an Ansible Networking module to this library.Free software: Apache licenseDocumentation:https://network-runner.readthedocs.io/en/latest/Source:https://github.com/ansible-network/network-runner/ComponentsThe Network-Runner library consists of the following components:Python APIImported directly by python.Ansible RoleUsed by Ansible during Ansible invocation.Use CasesPython APIAny python application could need the ability to communicate with a switch
to perform a task that network-runner is able to complete. The interaction
with ansible is designed in a library style that will allow direct import and
invocation in python independent of a running OpenStack deployment.API FeaturesThe following matrix indicates which features have been implmented.openvswitchjunosnxoseosenoscumulusdellos10Create VLANN/AYYYYYYDelete VLANN/AYYYYYYDelete PortYYYYYYYConfig Access PortYYYYYYYConfig Trunk PortNYNYYYNList VLANsNNNNNNNAdd Trunk VLANNNNNNNNDelete Trunk VLANNNNNNNN
Package: network-scanner-kbk
network_scanner_kbkProject to impliment a network scanner for comparing subnetsExample UsageExample of using the network_scanner utility to scan 2 given subnets and look
for devices that can only be accessed through exactly one of the subnets.# Import the NetworkScanner class
from network_scanner_kbk import NetworkScanner

# Create an instance of the NetworkScanner class
ns = NetworkScanner()

# Provide 2 subnet addresses in CIDR /24 notation
subnet1 = "192.168.0.0/24"
subnet2 = "192.168.1.0/24"

# Call find_singularly_reachable_devices() to obtain the list of devices (ips)
devices = ns.find_singularly_reachable_devices(subnet1, subnet2)

print("List of devices accessible on exactly one subnet:")
for d in devices:
    print(d)This package comes with unit tests.  They can be run as follows:cd network_scanner_kbk/tests
python test_network_scanner.py
Package: network-service-client
network-service-clientnetwork-service-client is a Python http client for dealing with communication with the wealize network service.InstallationUse the package managerpipto install network-service-client.pipinstallnetwork-service-clientUsagefromnetwork_service_client.clientimport(AClientasANetworkClient,ClientasNetworkClient,NetworkasNetworkDTO,NetworksNames,)# returns 'network'network_data:NetworkDTO=NetworkClient(service_host=settings.NETWORK_SERVICE_HOST).get_network_by_name(NetworksNames.AlastriaDefaultName)ContributingPull requests are welcome. For major changes, please open an issue first
to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseMIT
Package: network-stability
Network StabilityPython module for network connectivity and speed test.PrerequisitesPython 3.6+InstallingUse the package manager pip to install foobar.pipinstallnetwork_stabilityUsageimportnetwork_stabilitynet=network_stability.NetworkTest()# Run connectivity test.net.connection_test_interval(hours=0.5)net.export_connection_results('connection.csv')net.report_connection('connection.png')# Run speed test.net.speed_test_interval(minutes=30)net.export_speed_results('speed.csv')net.report_speed('speed.png')AuthorMatheus Couto-LinkedinLicenseThis project is licensed under theMITLicense.AcknowledgmentsThis project inspiration came after struggles to watch The Office in my TV. I had  a  wifi  extender that I was
distrusting. I needed some tests to check if it was messing with my network stability.
Package: networktoolkit
Network ToolkitA collection of networking toolsInstallationYou can install networktookit from pypi.
This requires you to have python3.8 installed.python-mpipinstall--upgradenetworktoolkitUsageThe project contain many tools.The current tools are:vendorlookup- check the vendor of a macaddressportuselookup- checks to see if a given port is allocated to any particular servicenetworkscan- allows you to scan a given ip range and returns a list of all ips (with mac addresses and vendors) in the given range that are accessable on the networkarpspoof- allows you to spoof a given ip address by sending ARP responsesEach of these has its own help page.
As an example, you can assess the help forarpspooflike this:arpspoof--helpAboutThis project usesscapyfor generating and sending network packets, andclickto give each python script a command line interface.ContributingFeel free to contribute to this project by opening a merge request.
I would request that all contributed code is pep8 complient.IssuesIf anything is broke, you have a usage question, or a feature suggestion feel free to create an issue on github.
Package: network-utils
Network UtilsNetwork utils is a library designed to help make writing socket programs easier.
It has builtin methods for setting up hybrid encryption as well as initialing connections and sending files.Message TerminalThe messsage terminal is a way of sending encrypted messages between the client and server.
It has two initialization methods (for client and server) that sets up the encryption.
The initialization methods will return None if there is no error.For the client:'''s = #socket code not showns.connect((HOST, PORT))mt = MessageTerminal(s)mt.initializeAsClient()mt.close()'''For the server:'''s = #socket code not showns.bind((HOST, PORT))s.listen()conn, addr = s.accept()mt = MessageTerminal(conn)mt.initializeAsServer()mt.close()'''File Utilites'''extractFileBinary(filePath) #reads file binarywriteFileBinary(filePath, data) #write file binary'''Pre defined messagesStandard messages that are used for setting up the server, sending files, and errors.
'''#messagesCLOSE_CONN = "!CLOSE_CONN!"MSG_RECIVED = "!MSG_RECIVED!"CONN_REQ = "!CONN_REQ!"CONN_COMF = "!CONN_COMF!"PING = "!PING!"PONG = "!PONG!"SHARE_PUBLIC_KEY = "!SHARE_PUBLIC_KEY!"SERVE_PUBLIC_KEY = "!SERVE_PUBLIC_KEY!"START_SYMMETRIC = "!START_SYMMETRIC!"SYMMETRIC_CONFIRMED = "!SYMMETRIC_CONFIRMED"FILE_TRANSFER = "!FILE_TRANSFER!"FILE_RECEIVED = "!FILE_RECEIVED!"#errorsCONN_ERROR = "!CONN_ERROR!"ENCRYPTION_ERROR = "!ENCRYPTION_ERROR!"'''
Package: networkx
NetworkX is a Python package for the creation, manipulation,
and study of the structure, dynamics, and functions
of complex networks.Website (including documentation):https://networkx.orgMailing list:https://groups.google.com/forum/#!forum/networkx-discussSource:https://github.com/networkx/networkxBug reports:https://github.com/networkx/networkx/issuesReport a security vulnerability:https://tidelift.com/securityTutorial:https://networkx.org/documentation/latest/tutorial.htmlGitHub Discussions:https://github.com/networkx/networkx/discussionsSimple exampleFind the shortest path between two nodes in an undirected graph:>>>importnetworkxasnx>>>G=nx.Graph()>>>G.add_edge("A","B",weight=4)>>>G.add_edge("B","D",weight=2)>>>G.add_edge("A","C",weight=3)>>>G.add_edge("C","D",weight=4)>>>nx.shortest_path(G,"A","D",weight="weight")['A', 'B', 'D']InstallInstall the latest version of NetworkX:$ pip install networkxInstall with all optional dependencies:$ pip install networkx[all]For additional details, please seeINSTALL.rst.BugsPlease report any bugs that you findhere.
Or, even better, fork the repository onGitHuband create a pull request (PR). We welcome all changes, big or small, and we
will help you make the PR if you are new togit(just ask on the issue and/or
seeCONTRIBUTING.rst).LicenseReleased under the 3-Clause BSD license (seeLICENSE.txt):Copyright (C) 2004-2023 NetworkX Developers
Aric Hagberg <hagberg@lanl.gov>
Dan Schult <dschult@colgate.edu>
Pieter Swart <swart@lanl.gov>
Package: networkx-algo-common-subtree
Networkx algorithms for maximum common ordered subtree minors (or embedding)
and maximum common subtree isomorphism. Contains pure python and cython
optimized versions.At its core themaximum_common_ordered_subtree_embeddingfunction is an implementation of:Lozano, Antoni, and Gabriel Valiente.
    "On the maximum common embedded subtree problem for ordered trees."
    String Algorithmics (2004): 155-170.
    https://pdfs.semanticscholar.org/0b6e/061af02353f7d9b887f9a378be70be64d165.pdfAndmaximum_common_ordered_subtree_isomorphismis a variant of the above
algorithm that returns common subtree ismorphism instead of subtree minors.Standalone versions of code were originally submitted as PRs to networkx
proper:https://github.com/networkx/networkx/pull/4350https://github.com/networkx/networkx/pull/4327These algorithms are components of algorithms in torch_liberator, see related
information:TorchLiberatorhttps://gitlab.kitware.com/computer-vision/torch_liberatorTorch Hackathon 2021Youtube VideoandGoogle Slides
Package: networkx-astar-path
networkx-astar-pathAlternative A* implementation, which provides the current and previous edge to the weight function.RequirementsPython 3.6.1 or newerInstallationpipinstallnetworkx-astar-pathUsagenetworkx's implementation of A* limit the arguments of the weight function to the current edge onlye.
Some scenarious require that the cost for the current edge is dependent on the prevous edge.
An example is the bearing between two edges.
Surely, the bearing could be pre-calculate and stored on the node, but this is sometimes not possible.The API of this implementation is the same, with the one exception that the weight-funciton signature has changed todefweight(graph:nx.Graph,prev_edge:Optional[Tuple[Any,Any]],cur_edge:Tuple[Any,Any])->float:...If the weight-function is called for the first time, the value forprev_edgeisNoneas we haven't visited any other edge yet.ExampleNOTEThis example is not very practical, but shows how this function can be used.Given the following graphimportnetworksasnxgraph=nx.DiGraph()graph.add_edges_from([('S','A1')],weight=-2)graph.add_edges_from([('A1','T')],weight=7)graph.add_edges_from([('S','A2'),('A2','B2'),('B2','C2'),('C2','T')],weight=1)we are searching for the shortest path fromStoT.Theweights have been chosenin a way that the path['S', 'A2', 'B2', 'C2', 'T']is shorter when we simply sum up the weights, but longer if the weight of the current edge is divided by the weight of the previous edge.
The shortest path for the latter is['S', 'A1', 'T'].Let's find the shortest path by only looking at the weights of the current edge.fromnetworkx_astar_pathimportastar_pathpath=astar_path(graph,source='S',target='T',weight="weight")# ['S', 'A2', 'B2', 'C2', 'T']We now define a "simple" weight function, which takes the previous edge into account:If we already visited an edge, the weight is the weight of the current edge divided by the weight of the previous edge.
Otherwise, the weight of the current edge is returned.fromnetworkx_astar_pathimportastar_pathdefdependent_weight(graph:nx.Graph,prev_edge:Optional[Tuple[Any,Any]],cur_edge:Tuple[Any,Any])->float:ifprev_edgeisNone:returngraph.get_edge_data(*cur_edge)['weight']prev_weight=graph.get_edge_data(*prev_edge)['weight']cur_weight=graph.get_edge_data(*cur_edge)['weight']returncur_weight/prev_weightpath=astar_path(graph,source='S',target='T',weight=dependent_weight)# ['S', 'A1', 'T']DevelopmentThis project usespoetryfor packaging and
managing all dependencies andpre-committo runflake8,isort,mypyandblack.Clone this repository and runpoetryinstall
poetryrunpre-commitinstallto create a virtual enviroment containing all dependencies.
Afterwards, You can run the test suite usingpoetryrunpytestThis repository follows theConventional Commitsstyle.Cookiecutter templateThis project was created usingcruftand thecookiecutter-pyprojecttemplate.
In order to update this repository to the latest template version runcruftupdatein the root of this repository.