Saravanan666/pypi-org huggingface dataset:
Package: nengo_spinnaker
nengo_spinnakeris a SpiNNaker-based simulator for models built usingNengo. It allows real-time simulation of
large-scale models.Quick StartInstall usingpip:$ pip install nengo_spinnakerConfigurenengo_spinnakerto use your local SpiNNaker system:$ nengo_spinnaker_setupUsingnengo_spinnakerTo use SpiNNaker to simulate your Nengo model first construct the model as
normal. Then usenengo_spinnaker.Simulatorto simulate your model.:import nengo_spinnaker

# Build model as normal

sim = nengo_spinnaker.Simulator(network)
sim.run(10.0)

# When done
sim.close()After running your model you must callcloseto leave the SpiNNaker machine
in a clean state. Alternatively awithblock may be used to ensure the
simulator is closed after use:with sim:
    sim.run(10.0)Some specific configuration options are available for SpiNNaker. To use these:# Modify config to use SpiNNaker parameters
nengo_spinnaker.add_spinnaker_params(network.config)Current settings are:function_of_time- Mark a Node as being a function of time only.function_of_time_period- Provide the period of the Node.For example:with model:
    signal = nengo.Node(lambda t: np.sin(t))

nengo_spinnaker.add_spinnaker_params(model.config)
model.config[signal].function_of_time = TrueConfiguring your connectionFirst, you’ll need to configure your network settings to be able to connect to
the board.  Go into your network manager and configure your ethernet
connection.  Set the IPv4 to use an IP address of192.168.0.250, the subnet
mask to be255.255.0.0, and the gateway to be empty.  Because the subnet
mask has the first two bytes set, this means your SpiNNaker board must have its
IP address set to192.168.x.x.  Most boards will fall into this range, so
the above address should be safe in most cases.  It is important that your IP
address does not collide with that of the board; again, the above address is
chosen so that will be rare.Windows TCP/IP SettingsOS X Network SettingsUbuntu Network SettingsSettings FileIn order to know which SpiNNaker system to use,nengo_spinnakeruses a
config file callednengo_spinnaker.conffile in either the directory you
will be running your code from or, more usefully, a centralised location. The
centralised location varies based on your operating system:Windows:%userprofile%\.nengo\nengo_spinnaker.confOther:~/.config/nengo/nengo_spinnaker.confA utility callednengo_spinnaker_setupinstalled withnengo_spinnakercan be used to create this file. By default, the config file is created
centrally but adding the--projectoption will create a config file in the
current directory (which applies only when running models in that directory).An annotatedexample config fileis provided
for users who wish to create their config file by hand.DevelopersSeeDEVELOP.mdfor information on how to get involved innengo_spinnakerdevelopment and how to install and build the latest copy ofnengo_spinnaker.
Package: nengo-ssp
Spatial Semantic PointersSpatial Semantic Pointers (SSPs) for nengo and nengo_spa. Grid cell SSPs included.Free software: MIT licenseDocumentation:https://nengo-ssp.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2020-08-28)First release on PyPI.
Package: nensbuild
NENS Build============.. image:: https://secure.travis-ci.org/nens/nensbuild.png?branch=master:target: http://travis-ci.org/nens/nensbuild/At Nelen & Schuurmans_ we use a couple commands to get a development environmentup and running::git clone repocd repoln -s development.cfg buildout.cfgpython bootstrap.pybin/buildoutThere are more commands that could be eliminated::createdbbin/django syncdbbin/django migrateThis is a code smell according to the book Clean Code. A build shouldhave three steps at the most::git clone repocd repobuildThis python packages aims to solve this by eliminating the symlink, bootstrap and buildout commands::git clone repocd reponens-build.. _Nelen & Schuurmans: http://www.nelen-schuurmans.nlCredits=======- Roland van Laar started this libraryChangelog of nens-build===================================================0.4 (2013-02-05)----------------- Add sysegg check. This depends on the new syseggrecipe.- Drop python2.6 support (again). subprocess.check_output is nw in python 2.7.0.3 (2012-12-22)----------------- Add travis-ci support.- Use bash as shell for running buildout. Fixes an issue with running nensbuildon a Vagrant virtual box. Fixes gh-1.0.2 (2012-12-15)----------------- Fix classifiers for release on pypi.0.1 (2012-12-15)----------------- Remove use of external python libraries.- Add unittests.- Initial project structure created with nensskel 1.29.
Package: nens-meta
N&S "meta" repositoryDocumentation:https://nens-meta.readthedocs.io/.Modeled afterhttps://github.com/plone/meta, it is a tool to keep lots of repositories up to date regarding minutia such as "editorconfig", "ruff", "pre-commit" and "github actions". Stuff that's often generated once with a cookiecutter and never afterwards modified, even though there's much goodness to be found in new settings.The settings and config files go hand in hand with some recommended local settings in your development environment, like recommended vscode extensions.The basic idea ismake it easy to write clean and neat and correct code without making the process irritating. Installing vscode's "editorconfig" plugin once is hardly a chore. If a project's editorconfig file then prevents you from ever having to worry about lineendings, trailing spaces, indentation and other non-content-related stuff... that's a win.Note thatour cookiecutter templatenormally should have been the basis from which you started your project. But it might have been created by hand. Or it might have been a long time ago. "Meta" tries to fix up your project a bit.Installing/developing this projectFor the basic instructions, seeour own documentation. So:$ pip install tox
$ tox -qTODOmanifest.inidocker-composeProjectnummertesten met vscodeDJANGO_SETTINGS_MODULE = artifact_handler.developmentsettingsin tool:pytest?
Package: nenucal
NenuCAL CDCalibration pipeline and set of utilities for the NenuFAR Cosmic Dawn project. The calibration uses the standard LOFARDPPPin the background and should be general enough to be used by any NenuFAR projects.Installationnenucal-cd can be installed via pip:$ pip install nenucal-cdand requires Python 3.7.0 or higher. For most tasks, you will also needDPPP,LSMToolthat you can install with the command:$ pip install git+https://github.com/darafferty/LSMTool.gitandLoSoTothat you can install with the command:$ pip install git+https://github.com/revoltek/losotoUsageCalibration is performed using thecalpipeutility. You will findhere some documentationson how to use it.Additionally to calpipe, this package provides a tool to manage the FLAG column and run a SSINS flagger (flagtool), a tool to plot and smooth gain solutions (soltool) and a tool to produce apparent sky model from catalog (modeltool).ContactDo not hesitate to fill anissueor contact me if you encounter a problem with this package.
Package: neo
Neo is a Python package for working with electrophysiology data in Python, together
with support for reading a wide range of neurophysiology file formats, including
Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for
writing to a subset of these formats plus non-proprietary formats including HDF5.The goal of Neo is to improve interoperability between Python tools for
analyzing, visualizing and generating electrophysiology data by providing a common,
shared object model. In order to be as lightweight a dependency as possible,
Neo is deliberately limited to represention of data, with no functions for data
analysis or visualization.Neo is used by a number of other software tools, includingSpykeViewer(data analysis and visualization),Elephant(data analysis),
theG-nodesuite (databasing),PyNN(simulations),tridesclous(spike sorting)
andephyviewer(data visualization).OpenElectrophy(data analysis and visualization) uses an older version of neo.Neo implements a hierarchical data model well adapted to intracellular and
extracellular electrophysiology and EEG data with support for multi-electrodes
(for example tetrodes). Neo’s data objects build on the quantities package,
which in turn builds on NumPy by adding support for physical dimensions. Thus
Neo objects behave just like normal NumPy arrays, but with additional metadata,
checks for dimensional consistency and automatic unit conversion.A project with similar aims but for neuroimaging file formats isNiBabel.Code statusMore informationHome page:http://neuralensemble.org/neoMailing list:http://neuralensemble.org/communityDocumentation:http://neo.readthedocs.io/Bug reports:https://github.com/NeuralEnsemble/python-neo/issuesFor installation instructions, see doc/source/install.rstTo cite Neo in publications, see CITATION.txtcopyright:Copyright 2010-2024 by the Neo team, see doc/source/authors.rst.license:3-Clause Revised BSD License, see LICENSE.txt for details.FundingDevelopment of Neo has been partially funded by the European Union Sixth Framework Program (FP6) under
grant agreement FETPI-015879 (FACETS), by the European Union Seventh Framework Program (FP7/2007­-2013)
under grant agreements no. 269921 (BrainScaleS) and no. 604102 (HBP),
and by the European Union’s Horizon 2020 Framework Programme for
Research and Innovation under the Specific Grant Agreements No. 720270 (Human Brain Project SGA1),
No. 785907 (Human Brain Project SGA2) and No. 945539 (Human Brain Project SGA3).
Package: neo3-boa
Write smart contracts for Neo3 in PythonMade byCOZ.IOneo3-boa·neo-mamba·cpmNote: The latest release (v0.14.0) has breaking changes with contracts written using previous versions. Please refer to ourmigration guideto update your smart contracts.Table of ContentsOverviewQuickstartInstallationPip (Recommended)Build from Source (Optional)DocsReference ExamplesNeo Python Suite ProjectsContributingLicenseOverviewNeo3-Boa is a tool for creating Neo Smart Contracts using Python. It compiles.pyfiles to.nefand.manifest.jsonformats for usage in theNeo Virtual Machinewhich is used to execute contracts on theNeo Blockchain.Neo3-Boa is part of the Neo Python Framework, aimed to allow the full development of dApps using Python alone.QuickstartInstallation requires Python 3.10 or later.InstallationMake a Python 3 virtual environment and activate it:On Linux / Mac OS:$python3-mvenvvenv
$sourcevenv/bin/activateOn Windows:$python3-mvenvvenv
$venv\Scripts\activate.batPip (Recommended)Install Neo3-Boa using Pip:$pipinstallneo3-boaBuild from Source (Optional)If Neo3-Boa is not available via pip, you can run it from source.Clone Neo3-Boa:$gitclonehttps://github.com/CityOfZion/neo3-boa.gitInstall project dependencies:$pipinstallwheel
$pipinstall-e.DocsCheck out ourgetting started documentationto learn how to use the
compiler. Also check our examples below for reference.Reference ExamplesFor an extensive collection of examples:Smart contract examplesFeatures testsNeo Python Suite ProjectsNeo3-Boa: Python smart contracts' compiler.neo3-mamba: Python SDK for interacting with Neo.ContributingCheckout ourcontributing fileto see how you can contribute with our project.LicenseOpen-sourceApache 2.0.
Package: neo3crypto
NEO3VMC++ implementations of cryptographic functions used in the NEO3 Blockchain with bindings for Python 3.10 & 3.11.The current version supportsmmh3and EllipticCurve functions by wrapping (part ofsmhasherandmicro-ecc)
and exposing helper classes.SECP256R1(a.k.aNIST256P) andSECP256K1are the only curves exposed, but others can easily
be enabled if needed.Installationpip install neo3cryptoOr download the wheels from the Github releases page.Windows usersIf installing fails with the errorNo Matching distribution foundthen upgrade your Python installation to use the latest post release version (i.e.3.10.8instead of3.10.0)Usageimport hashlib
import os
from neo3crypto import ECCCurve, ECPoint, sign, verify, mmh3_hash_bytes, mmh3_hash


curve = ECCCurve.SECP256R1
private_key = os.urandom(32)
public_key = ECPoint(private_key, curve)

signature = sign(private_key, b'message', curve, hashlib.sha256)
assert verify(signature, b'message', public_key, hashlib.sha256) == True

assert mmh3_hash("foo", signed=False) == 4138058784
assert bytes.fromhex("0bc59d0ad25fde2982ed65af61227a0e") == mmh3_hash_bytes("hello", 123)Any hashlib hashing function can be used. Further documentation on the classes can be queried from the extension module
usinghelp(neo3crypto).Building wheelsMake sure to havewheelandCMakeinstalled. Then callpython setup.py bdist_wheel.
Package: neo3-python
neo3-pythonAttention!This project has been rebranded to neo-mamba and will no longer receive updates under this package name.This SDK intends to provide building blocks for Python developers to interact with the NEO blockchain as a means to lower the entry barrier.It is a work in progress and thus you can expect that not all parts of the blockchain are supported. What is present should be functioning correctly unless explicitely mentioned (e.g. because they depend on structures not yet available).Please report any issues onGithubor submit ideas how to improve the SDK.Quick installpip install wheel neo3-pythonorgit clone https://github.com/CityOfZion/neo3-python.git
cd neo3-python
pip install wheel -e .For full documentation including more elaborate install instructions go tohttps://neo3-python.coz.io/docs/.RoadmapOver time the following components are expected to be implemented starting with the items in “SDK Core”. As we
release versions and receive feedback components may be added or restructured. Some components may end up living in
separate repositories but be included here by default (e.g. virtual machine implementations).Core (v0.1)Network (v0.1)Storage (v0.1)Virtual MachineSmart contractsFAQ1.make docsfails withno theme named 'neo3' found (missingtheme.conf?). ->python setup.py install.
Try again.
Package: neo3vm
NEO3VMA C++ port of the NEO3 BlockchainVirtual Machinewith bindings for Python 3.8.Installationpip install neo3vmOr download the wheels from the Github releases page.Usageimportneo3vm# PUSH1, PUSH2, ADD (1 + 2 = )script=neo3vm.Script(b'\x11\x12\x9E')engine=neo3vm.ExecutionEngine()engine.load_script(script)engine.execute()assert(engine.state==neo3vm.VMState.HALT)assert(engine.result_stack.peek()==neo3vm.IntegerStackItem(3))Further documentation on the classes can be queried from the extension modulehelp(neo3vm).Bindings vs source codeFor the time being only the Python bindings are made available publicly. Other bindings may follow.If you have a use-case for the C++ VM feel free to reach out topython@coz.ioto discuss the possibilities.
Package: neo4django
neo4djangois an Object Graph Mapper that let’s you use familiar Django model definitions and queries against the Neo4j graph database.The library is tested against Django 1.4.4 and Neo4j versions 1.8.2-1.9M04. Docs are onReadTheDocs.InstallationUsing pip, you can install from PyPi:pip install neo4djangoor straight from GitHub:pip install -e git+https://github.com/scholrly/neo4django/#egg=neo4djangoDocumentationDetailed documentation can be found in the docs folder or onReadTheDocs.
Package: neo4j
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 a monthly cadence.As a policy, patch versions will not be released except on rare occasions. Bug
fixes and updates will go into the latest minor version and users should
upgrade to that. Driver upgrades within a major version will never contain
breaking API changes.See also:https://neo4j.com/developer/kb/neo4j-supported-versions/Python 3.12 supported.Python 3.11 supported.Python 3.10 supported.Python 3.9 supported.Python 3.8 supported.Python 3.7 supported.InstallationTo install the latest stable version, use:pipinstallneo4jNoteneo4j-driveris the old name for this package. It is now deprecated and
and will receive no further updates starting with 6.0.0. Make sure to
installneo4jas shown above.Quick Examplefromneo4jimportGraphDatabase,RoutingControlURI="neo4j://localhost:7687"AUTH=("neo4j","password")defadd_friend(driver,name,friend_name):driver.execute_query("MERGE (a:Person {name: $name}) ""MERGE (friend:Person {name: $friend_name}) ""MERGE (a)-[:KNOWS]->(friend)",name=name,friend_name=friend_name,database_="neo4j",)defprint_friends(driver,name):records,_,_=driver.execute_query("MATCH (a:Person)-[:KNOWS]->(friend) WHERE a.name = $name ""RETURN friend.name ORDER BY friend.name",name=name,database_="neo4j",routing_=RoutingControl.READ,)forrecordinrecords:print(record["friend.name"])withGraphDatabase.driver(URI,auth=AUTH)asdriver:add_friend(driver,"Arthur","Guinevere")add_friend(driver,"Arthur","Lancelot")add_friend(driver,"Arthur","Merlin")print_friends(driver,"Arthur")Further InformationThe Neo4j Operations Manual(docs on how to run a Neo4j server)The Neo4j Python Driver Manual(good introduction to this driver)Python Driver API Documentation(full API documentation for this driver)Neo4j Cypher Cheat Sheet(summary of Cypher syntax - Neo4j’s graph query language)Example Project(small web application using this driver)GraphAcademy(interactive, free online trainings for Neo4j)Driver Wiki(includes change logs)Neo4j Migration Guide
Package: neo4japi
Neo4jApiA simple Neo4j api driver.Usageselect node/relation from neo4j:withNeo4jApi()asdbi:res=(dbi.select_by_nodes(Node('ds',labels='DATASET',datasource_id=1).relationship(Relation('rel'),Node('sj',labels='SUB_DATAJOB')),ds__id=1,ds__name=(['kafka','elastisearch'],'IN')))start a transaction:withNeo4jApi()asdbi:withdbi.start_transaction()as_t:dbi.insert(Node(labels='DATASOURCE',**data_source),t=_t)
Package: neo4j-api
Neo4J APIA Neo4j API in Python with FastAPI.RequirementsNeo4J API requires Python 3.6 or above.To install Python 3.6, I recommend usingpyenv.# install pyenvgitclonehttps://github.com/pyenv/pyenv~/.pyenv# setup pyenv (you should also put these three lines in .bashrc or similar)exportPATH="${HOME}/.pyenv/bin:${PATH}"exportPYENV_ROOT="${HOME}/.pyenv"eval"$(pyenvinit-)"# install Python 3.6pyenvinstall3.6.8# make it available globallypyenvglobalsystem3.6.8InstallationWithpip:python3.6-mpipinstallneo4j-apiWithpipx:python3.6-mpipinstall--userpipx

pipxinstall--pythonpython3.6neo4j-api
Package: neo4j-connector
This library contains everything you need to execute single-request transactions for Neo4j 3.0 and above through its
HTTP API.BackgroundResearch into the speed of performing ETL and batch-type actions on Neo4j showed that using a large, single-request
transaction POST-request through Neo4j’s HTTP API outperforms other currently available libraries for this use-case
(e.g. the official ‘neo4j-driver’ and ‘py2neo’). The goal of this connector is to provide convenience methods and
classes that abstract away the boilerplate communication code.Community thread about the difference in performance between drivers:https://community.neo4j.com/t/barebones-http-requests-much-faster-than-python-neo4j-driver-and-py2neoExampleimportneo4jconnector=neo4j.Connector('http://localhost:7474',('neo4j','neo4j'))response=connector.run("""MATCH () RETURN COUNT(*) as node_count""")first_row=response[0]print(first_row['node_count'])InstallationTo install the latest stable version, use:pipinstallneo4j-connectorGithubThis library lives athttps://github.com/textkernel/neo4j-connector. Suggestions, bug-reports and pull requests are
welcome there.DocumentationThe documentation (including changelog) lives athttps://neo4j-connector.readthedocs.io
Package: neo4j-driver
WarningThis package is deprecated and will stop receiving updates starting with
version 6.0.0. Please installneo4jinstead (which is an alias, i.e.,
a drop-in replacement). Seehttps://pypi.org/project/neo4j/.Neo4j Bolt Driver for PythonThis 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 a monthly cadence.As a policy, patch versions will not be released except on rare occasions. Bug
fixes and updates will go into the latest minor version and users should
upgrade to that. Driver upgrades within a major version will never contain
breaking API changes.See also:https://neo4j.com/developer/kb/neo4j-supported-versions/Python 3.12 supported.Python 3.11 supported.Python 3.10 supported.Python 3.9 supported.Python 3.8 supported.Python 3.7 supported.InstallationTo install the latest stable version, use:pipinstallneo4jNoteneo4j-driveris the old name for this package. It is now deprecated and
and will receive no further updates starting with 6.0.0. Make sure to
installneo4jas shown above.Quick Examplefromneo4jimportGraphDatabase,RoutingControlURI="neo4j://localhost:7687"AUTH=("neo4j","password")defadd_friend(driver,name,friend_name):driver.execute_query("MERGE (a:Person {name: $name}) ""MERGE (friend:Person {name: $friend_name}) ""MERGE (a)-[:KNOWS]->(friend)",name=name,friend_name=friend_name,database_="neo4j",)defprint_friends(driver,name):records,_,_=driver.execute_query("MATCH (a:Person)-[:KNOWS]->(friend) WHERE a.name = $name ""RETURN friend.name ORDER BY friend.name",name=name,database_="neo4j",routing_=RoutingControl.READ,)forrecordinrecords:print(record["friend.name"])withGraphDatabase.driver(URI,auth=AUTH)asdriver:add_friend(driver,"Arthur","Guinevere")add_friend(driver,"Arthur","Lancelot")add_friend(driver,"Arthur","Merlin")print_friends(driver,"Arthur")Further InformationThe Neo4j Operations Manual(docs on how to run a Neo4j server)The Neo4j Python Driver Manual(good introduction to this driver)Python Driver API Documentation(full API documentation for this driver)Neo4j Cypher Cheat Sheet(summary of Cypher syntax - Neo4j’s graph query language)Example Project(small web application using this driver)GraphAcademy(interactive, free online trainings for Neo4j)Driver Wiki(includes change logs)Neo4j Migration Guide
Package: neo4j-marshaller
neo4j_marshallerneo4j_marshalleris a Python library that takes a Cypher Query, executes it, and returns the resultset as a JSON object.
The idea is toavoid the boiler-plate code that has to "interpret" the returnedBoltResultSetin-order to use the resultseasily supply named parameters in the Cypher Queryget_one(): pick one row from returnedBoltResultSetand return it as an objectget_all(): treat theBoltResultSetand return it as an arrayHere is the GitHub repo:https://github.com/arunsundaram50/neo4j-marshallerHere is the pip command to install it:pip install neo4j-marshallerHere’s a simple example of how you might useneo4j_marshaller:fromneo4j_marshallerimportNeo4JMarshallerResourceimportjson,sys,osif__name__=="__main__":email_address=os.environ['EMAIL_ADDRESS']cypher_query="""MATCH (user:ExplUser {name: $username})RETURN user"""withNeo4JMarshallerResource()asnmr:userJson=nmr.get_one(cypher_query,username=email_address)json.dump(userJson,indent=2,fp=sys.stdout)