Saravanan666/pypi-org huggingface dataset:
Package: cirq-google
Cirqis a Python library for writing, manipulating, and optimizing quantum
circuits and running them against quantum computers and simulators.This module iscirq-google, which provides everything you’ll need to run Cirq quantum algorithms on the Google Quantum Computing Service.
It also contains additional tools for calibration and characterization of the Google quantum devices.DocumentationAccess to Google Hardware is currently restricted to those in an approved group. In order to do this, you will need to apply for access, typically in partnership with a Google sponsor.To get started with the Quantum Computing Service, checkout the following guide and tutorial:Access and authenticationGetting started guideInstallationTo install the stable version of onlycirq-google, usepip install cirq-google.
To install the pre-release version of onlycirq-google, usepip install cirq-google –pre.Note, that this will install both cirq-google and cirq-core as well.To get all the optional modules installed as well, you’ll have to usepip install cirqorpip install cirq –prefor the pre-release version.
Package: cirq-ionq
Cirqis a Python library for writing, manipulating, and optimizing quantum
circuits and running them against quantum computers and simulators.This module iscirq-ionq, which provides everything you’ll need to run Cirq quantum algorithms on IonQ quantum computers.DocumentationTo get started with IonQ quantum computing services, checkout the following guide and tutorial:Access and authenticationGetting started guideInstallationTo install the stable version of onlycirq-ionq, usepip install cirq-ionq.
To install the pre-release version of onlycirq-ionq, usepip install cirq-ionq –pre.Note, that this will install bothcirq-ionqandcirq-core.To get all the optional modules installed, you’ll have to usepip install cirqorpip install cirq –prefor the pre-release version.
Package: cirq-iqm
Cirq on IQMGoogle Cirqadapter forIQM’squantum architectures.What is it good for?Currently Cirq on IQM cantake an arbitrary quantum circuit created using Cirq or imported from an OpenQASM 2.0 filemap the circuit into an equivalent one compatible with the chosen IQM quantum architectureoptimize the circuit by commuting and merging gatessimulate the circuit using one of Cirq’s simulatorsrun the circuit on an IQM quantum computerInstallationThe recommended way is to install the distribution packagecirq-iqmdirectly from the
Python Package Index (PyPI):$pipinstallcirq-iqmDocumentationThe documentation of the latest Cirq on IQM release is availablehere.Jump to ourUser guidefor a quick introduction on how to use Cirq on IQM.Take a look at theJupyter notebookwith examples:examples/usage.ipynb.CopyrightCirq on IQM is free software, released under the Apache License, version 2.0.Copyright 2020–2024 Cirq on IQM developers.
Package: cirq-pasqal
Cirqis a Python library for writing, manipulating, and optimizing quantum
circuits and running them against quantum computers and simulators.This module iscirq-pasqal, which provides everything you’ll need to run Cirq quantum algorithms on pasqal quantum computers.DocumentationTo get started with pasqal quantum computing services, checkout the following guide and tutorial:Access and authenticationGetting started guideInstallationTo install the stable version of onlycirq-pasqal, usepip install cirq-pasqal.
To install the pre-release version of onlycirq-pasqal, usepip install cirq-pasqal –pre.Note, that this will install bothcirq-pasqalandcirq-core.To get all the optional modules installed, you’ll have to usepip install cirqorpip install cirq –prefor the pre-release version.
Package: cirqqrack
cirq-qrackThis repository contains a Qrack plugin for Cirq, providing the Qrack QasmSimulator. The underlying Qrack simulator is a high-performance, GPU-accelerated, noiseless simulator, by design.This plugin is based on and adapted from work by thequlacs team, theIBM Qiskit Team, andQCGPU's creator, Adam Kelly. Quantum volume benchmarks come from the qulacs plugin for Cirq athttps://github.com/qulacs/cirq-qulacs. Attribution is also noted in content files, where appropriate. Original contributions and adaptations were made by Daniel Strano of the Qrack/VM6502Q Team.
Package: cirq-rigetti
Cirqis a Python library for writing, manipulating, and optimizing quantum
circuits and running them against quantum computers and simulators.This module iscirq-rigetti, which provides everything you’ll need to run Cirq quantum algorithms on Rigetti quantum computers.DocumentationTo get started with Rigetti quantum computing services, checkout the following guide and tutorial:Access and authenticationGetting started guideInstallationTo install the stable version of onlycirq-rigetti, usepip install cirq-rigetti.
To install the pre-release version of onlycirq-rigetti, usepip install cirq-rigetti –pre.Note, that this will install bothcirq-rigettiandcirq-core.To get all the optional modules installed, you’ll have to usepip install cirqorpip install cirq –prefor the pre-release version.DevelopmentPlease see Cirqdevelopment documentation.
Package: cirq-superstaq
cirq-superstaqThis package is used to access Superstaq via a Web API throughCirq.
Cirq programmers can take advantage of the applications, pulse level optimizations, and write-once-target-all
features of Superstaq with this package.cirq-superstaqisavailable on PyPIand can be installed with:pip install cirq-superstaqPlease note that Python version3.8or higher is required. For further installation instructions, seehere.Creating and submitting a circuit through cirq-superstaqimportcirqimportcirq_superstaqascssq0=cirq.LineQubit(0)q1=cirq.LineQubit(1)circuit=cirq.Circuit(cirq.H(q0),cirq.CNOT(q0,q1),cirq.measure(q0))service=css.Service(api_key="""Insert superstaq token that you received from https://superstaq.infleqtion.com""",verbose=True,)# Submitting a circuit to "ibmq_qasm_simulator". Providing the "dry-run" method parameter instructs Superstaq to simulate the circuit, and is available to free trial users.job=service.create_job(circuit,repetitions=1,target="ibmq_qasm_simulator",method="dry-run")print("This is the job that's created ",job.status())print(job.counts())
Package: cirqtools
Cirq Toolscirqtools is a Python package where I keep common code between my various quantum projects.Quditcirqtools.quditcontains various gate definitions useful when dealing with qudits.Qutritcirqtools.qutritcontains qutrit-specific instances of types incirqtools.qudit.Simulatorscirqtools.ClassicalSimulatorwill efficiently simulate any classical reversible circuit (any circuit containing gates whose unitaries are permutation matrices).cirqtools.FeynmanPathSimulatoris an inefficient attempt attempt at a Feynman Path-based simulator.
Package: cirq-web
Cirqis a Python library for writing, manipulating, and optimizing quantum
circuits and running them against quantum computers and simulators.This module iscirq-web, which allows users to take advantage of browser based 3D visualization tools
and features in Cirq. cirq-web also provides a development environment for contributors to create and add
their own visualizations to the module.DocumentationDocumentation for cirq-web can be found in the README files located in this module’s subdirectories.Below is a quick example of how to generate a portable 3D rendering of the Bloch sphere using cirq-web:importcirqfromcirq_webimportBlochSphere# Prepare a statezero_state=[1+0j,0+0j]state_vector=cirq.to_valid_state_vector(zero_state)# Create and display the Bloch spheresphere=BlochSphere(state_vector=state_vector)sphere.generate_html_file()This will create the file in the current working directory. There are additional options to specify the
output directory or to open the visualization in a browser for example.You can also view and interact with a Bloch sphere in a Colab or Jupyter notebook setting
with the following:importcirqfromcirq_webimportBlochSphere# Prepare a statezero_state=[1+0j,0+0j]state_vector=cirq.to_valid_state_vector(zero_state)# Create and display the Bloch spheresphere=BlochSphere(state_vector=state_vector)display(sphere)See the example Jupyter notebook in this directory for more examples on how to use cirq-web.InstallationCirq-web is currently in development, and therefore is only available via pre-release.To install the pre-release version of onlycirq-web, usepip install cirq-web –pre.Note, that this will install both cirq-web and cirq-core.To get all the optional modules installed as well, you’ll have to usepip install cirqorpip install cirq –prefor the pre-release version.
Package: cirRelArea
Created By Sparsh AgarwalCopyright(c) <2021>Created as a mathematical tool to solve the common qustions related to Circles and all its possibilities.This package Pertains to all possibilities given:area - It pertains to possibilities based on radius availability (To Use Just type in cirRelArea.area )circumference - It pertains to possibilities based on radius availability (To Use Just type in cirRelArea.circumference )radius - It pertains to possibilities based on area availability (To Use Just type in cirRelArea.radius )area of sector - To Use Just type in cirRelArea.area_sectorcircumference of sector - To Use Just type in cirRelArea.circumference_sector
-central angle - It pertains to possibilities based on area availability (To Use Just type in cirRelArea.theta_sector)More given onhttps://github.com/faint-artist/cirRelArea-package
Package: cirrocumulus
CirrocumulusCirrocumulus is an interactive visualization tool for large-scale single-cell genomics data, with the following features:Visualize datasets inh5ad,10x h5,Xenium,loom,Seurat,TileDB, orzarrformatsViewMERFISHor other spatial transcriptomics data overlaid on an imageEasily deploy on a laptop, on-premise server, cloud VM, or Google App EngineShare the current visualization state in a URLShare datasets securely with collaboratorsCreate dotplots, heatmaps, and violin plots to explore relationships between categorical variables and expressionGenerate composition plots to inspect cluster makeupExplore complete differential expression results generated byScanpyorPegasus/CumulusInteractively create and share “AND” or “OR” filtersCollaboratively annotate cell types in real time, optionally using a controlled vocabulary (example ontology)Quickly load multiple features from predefined lists (see example)Explore multiple features and embeddings simultaneouslyFast interactive exploration of 2 and 3-d embeddings of millions of cells, including zoom, pan, rotate (3-d), and lasso toolsSave publication quality imagesHighly customizable - for example, set the color map, point size, or whether to use fog for 3-d embeddings to fade distant pointsQuick StartInstall the package:pip install cirrocumulusLaunch cirrocumulus via the command line:cirro launch <path_to_dataset>Launch accepts more than one dataset to enable quick dataset switching or to combine modalities (e.g gene fusions and expression) stored in separate files.Example DataDownload3k PBMCs from a healthy donor dataand launch:cirro launch pbmc3k.h5ad --markers markers.jsonDownloadhuman lymph node spatial dataand launch:cirro launch V1_Human_Lymph_Node/V1_Human_Lymph_Node.h5ad --spatial V1_Human_Lymph_Node/spatialComplete documentation available athttps://cirrocumulus.readthedocs.io
Package: cirruscluster
A batteries-included MapReduce cluster-in-a-can for scientists, researchers, and engineers.Cirrus makes it easier to perform large-scale computation and data analysis tasks using the MapReduce framework. While MapReduce is widely used in industry, the high cost and complexity of setting up the MapReduce infrastructure make it impractical for many potential users. Cirrus Cluster is a python library and set of command line tools that automates the complex processes of provisioning, launching, configuring, and monitoring a custom MapR hadoop cluster. Cirrus aims to be a batteries-include tool to support a MapReduce workflow tailored for the needs of engineers and researchers who don’t have a full-time IT support staff to manage the cluster.Documentationhttps://cirruscluster.readthedocs.orgInstallationTo get latest release…pip install cirruscluster--use-mirrorsor to get current developement version…git clonehttps://github.com/cirruscluster/cirruscluster.git;python setup.py installContactAuthor: Kyle Heath (cirruscluster [at] gmail)
Package: cirrus-docs
cirrus-docscirrus-docs is a plugin for thecirrus-geoprocessing pipeline framework to
add documentation commands to thecirruscli. The plugin allows a cirrus
project instance to develop and build documentation, pulling in the docs for
cirrus-geo, cirrus-lib, all of the available components, and any installed
plugins.Quickstartcirrus-docs inpip-installable:pip install cirrus-docsWhen installed alongsidecirrus-geo, it will add adocssubcommand to thecirruscli, which can be used within a Cirrus project to initialize, stage, and build the project documentation:~ ❯ cd project-dir
~/project-dir ❯ cirrus docs init
~/project-dir ❯ cirrus docs stage
`/project-dir ❯ cirrus docs buildcirrus-docs is built on top ofsphinx. See thefull plugin
documentationfor more information about how to use it.
Package: cirrus-mgmt
cirrus-mgmtcirrus-mgmt is a plugin for thecirrus-geoprocessing pipeline framework to
add deployment management commands to thecirruscli. The commands allow
users to perform common tasks like getting payload states, processing payloads,
and testing workflows.Quickstartcirrus-mgmt ispip-installable:pip install cirrus-mgmtWhen installed alonsidecirrus-geo, it will add several subcommands to thecirruscli:cirrus deployments
cirrus manage
cirrus payloadSee thefull plugin documentationfor more information on use.
Package: cirtap
cirtapA command-line utility to handle PATRIC data from their FTPCheck out thewiki pagefor more info.Installation$ pip install cirtapUsageUsage: cirtap [OPTIONS] COMMAND [ARGS]...

  Run `cirtap COMMAND -h` for subcommand help

Options:
  --version   Show the version and exit.
  --help  Show this message and exit.

Commands:
  best     Select best genomes based on stats retrieved from genome_summary
  collect  Create sequence sets based on the installed files
  index    Create an index of contents for all directories
  mirror   Mirror all data from ftp.patricbrc.org in the specified DB_DIR
  pack     Create a gzipped tar archive from a list of genome ids in a fileQuickstartmirrorStart a new mirror of all data in a local path, wiht 8 parallel downloads$ cirtap mirror -j 8 some/pathResume a failing job$ cirtap mirror -j 8 -r some/pathArchive previous release notes and send notification emails when a mirror job launches or fails
to some users$ cirtap mirror -j 8 --notify user1@example.com,user2@gmail.com --archive-notes some/pathThe rest of the commands assume a mirror is set upindexCreate a presence/absence index of files installed$ cirtap index -j 16 path/to/genomes index.tsvThis is useful for selecting genomes based on file presencecollectCollect all proteins for e.g. building ablastpdatabase$ cirtap collect -t proteins -j 4 -i path/to/index.tsv path/to/genomes all_proteins.fa.gzCollect all 16S SSU sequences$ cirtap collect -t SSU -j 4 -i path/to/index.tsv path/to/genomes SSU.fa.gzbestMake a selection of best genomes based on completeness, consistency,
fine/coarse consistency.$ cirtap best -i path/to/index.tsv -d path/to/local/patric best_genomes
Package: cirun
Cirun Python Client and CLITable of ContentsInstallationUsageLicenseInstallationpip install cirunor viaconda-forgeconda install -c conda-forge cirunUsagecirun-pycan be used as a CLI as well as a Python client programmatically.Create an API key from the Cirun Dashboardhttps://cirun.io/admin/apiSet that API Key as an environment variable namedCIRUN_API_KEYexport CIRUN_API_KEY=<your-api-key>CLIList active repositories for Cirun$cirunrepolist
──────────────────────────────────────────────────────────────────────────────────────────────────────────{"repos":[{"repository":"aktech/cirun-openstack-example","active":true,"private":false},{"repository":"aktechlabs/cirun-demo","active":true,"private":true}]}──────────────────────────────────────────────────────────────────────────────────────────────────────────Active (add) a repository$cirunrepoaddaktech/sympy
──────────────────────────────────────────────────────────────────────────────────────────────────────────{"name":"aktech/sympy","active":true}──────────────────────────────────────────────────────────────────────────────────────────────────────────Deactivate (remove) a repository$cirunreporemoveaktech/sympy
──────────────────────────────────────────────────────────────────────────────────────────────────────────{"name":"aktech/sympy","active":false}──────────────────────────────────────────────────────────────────────────────────────────────────────────Connect cloud provider with Cirunciruncloudconnectaws--access-keyAKIXXXXXXXXX--secret-keyKFCF3yi+df0n12345678AMASDFGHJ

ciruncloudconnectazure\--subscription-id31184337-0346-4782-ae59-eb185fd0cfa1\--tenant-ida66e466d-698b-4a91-b9e3-949f9cc04f11\--client-id340d01fc-ba24-43ee-844e-d364899d29e7\--client-secretKFCF3yi+df0cirunIsAwesomeIsntIt?n1DFGHJ

ciruncloudconnectgcp--key-file/path/to/service-account-key.jsonClientfromcirunimportCirun# Create cirun client object# Pass the token or set `CIRUN_API_KEY` environment variablec=Cirun(token='cirun-4cabcdbf-275c-4500-890d-712340663ddc')# List repositoriesc.get_repos()# Active (add) a repositoryc.set_repo('aktech/sympy',active=True)# Deactivate (remove) a repositoryc.set_repo('aktech/sympy',active=False)Licensecirunis distributed under the terms of theMITlicense.
Package: ci-rvm
A Robust and Efficient Method to Find Profile Likelihood Confidence IntervalsThis package provides an implementation of a robust and efficient method to
compute profile likelihood confidence intervals developed byFischer and Lewis (2021).
If you use this package in research that leads to a scientific publication,
we kindly ask you to cite the paper.The package is licensed under theLGPL-v3. For documentation please refer tothe project's documentation page on github. Please report any bugs onthe project's bug tracker. You are welcome to adjust the provided
files to your needs and to improve the code. It is encouraged that you share any
improvements onthe github pageif possible.
Package: cis
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4518867.svg)](https://doi.org/10.5281/zenodo.4518867)CIS is an open source Python library and command-line tool for the easy collocation, visualization, analysis, and comparison of a
diverse set of gridded and ungridded datasets used across earth sciences. Visit our homepage at www.cistools.net.For issue tracking and improvement suggestions please see our JIRA project at:https://jira.ceh.ac.uk/projects/JASCIS/issues.InstallationA pre-packaged version of CIS is available for installation using conda for Linux, Mac OSX and Windows.Once conda is installed, you can easily install CIS with the following command:conda install -c conda-forge cisIf you don’t already have conda, you must first download and install it.
Anaconda is a free conda package that includes Python and many common scientific and data analysis libraries, and is available here:http://continuum.io/downloads.
Further documentation on using Anaconda and the features it provides can be found here:http://docs.continuum.io/anaconda/index.htmlMore details for installing CIS from source, and other package sources, can be found in the get-started [documentation](http://cistools.net/get-started#installation).ContactPhilip.Kershaw@stfc.ac.uk,Philip.Stier@physics.ox.ac.ukorDuncan.Watson-Parris@physics.ox.ac.ukCopyright and licenceUniversity of Oxford 2013This file is part of the Community Intercomparison Suite (CIS).CIS is free software: you can redistribute it and/or modify it under
the terms of the GNU Lesser General Public License as published by the
Free Software Foundation, either version 3 of the License, or
(at your option) any later version.CIS is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Lesser General Public License for more details.You should have received a copy of the GNU Lesser General Public License
along with CIS.  If not, see <http://www.gnu.org/licenses/>.We gratefully use a number of NASA Visible Earth ‘Blue Marble’ raster
images in this repository.
Package: cisapi
The CIS Automotive API provides real time sales and market data for the US automotive market with data on 40k dealers and over 575M vehicles.
This library provides convenient python bindings to the API and manages access credentials for you.Requires python>=3.6For the most recent endpoint documentation seehttps://api.autodealerdata.com/docsLibrary specific documentation is available on our githubhttps://github.com/CISAPI/CIS-APIThis package is licensed under the MIT License.Copyright 2020 Competitive Intelligence Solutions LLC
Package: cis-checks
OBP_security_pillarOBP_security_Pillar package can be used to get the compliance details of Operational Best Practices for AWS Well Architected Security Pillar.Release Notes:v0.0.1Added following compliance checks:RdsAutomaticMinorVersionUpgradeEnabledRdsInstancePublicAccessCheckRdsSnapshotEncryptedRdsSnapshotsPublicProhibitedRdsStorageEncryptedS3BucketLoggingEnabledS3BucketVersioningEnabled
Package: cis-checks-1
OBP_security_pillarOBP_security_Pillar package can be used to get the compliance details of Operational Best Practices for AWS Well Architected Security Pillar.Release Notes:v0.0.1Added following compliance checks:RdsAutomaticMinorVersionUpgradeEnabledRdsInstancePublicAccessCheckRdsSnapshotEncryptedRdsSnapshotsPublicProhibitedRdsStorageEncryptedS3BucketLoggingEnabledS3BucketVersioningEnabled
Package: cis-checks-10
OBP_security_pillarOBP_security_Pillar package can be used to get the compliance details of Operational Best Practices for AWS Well Architected Security Pillar.Release Notes:v0.0.1Added following compliance checks:RdsAutomaticMinorVersionUpgradeEnabledRdsInstancePublicAccessCheckRdsSnapshotEncryptedRdsSnapshotsPublicProhibitedRdsStorageEncryptedS3BucketLoggingEnabledS3BucketVersioningEnabled
Package: cis-checks-2
OBP_security_pillarOBP_security_Pillar package can be used to get the compliance details of Operational Best Practices for AWS Well Architected Security Pillar.Release Notes:v0.0.1Added following compliance checks:RdsAutomaticMinorVersionUpgradeEnabledRdsInstancePublicAccessCheckRdsSnapshotEncryptedRdsSnapshotsPublicProhibitedRdsStorageEncryptedS3BucketLoggingEnabledS3BucketVersioningEnabled
Package: cis-checks-2023
OBP_security_pillarOBP_security_Pillar package can be used to get the compliance details of Operational Best Practices for AWS Well Architected Security Pillar.Release Notes:v0.0.1Added following compliance checks:RdsAutomaticMinorVersionUpgradeEnabledRdsInstancePublicAccessCheckRdsSnapshotEncryptedRdsSnapshotsPublicProhibitedRdsStorageEncryptedS3BucketLoggingEnabledS3BucketVersioningEnabled
Package: cis-checks-2023-u1
OBP_security_pillarOBP_security_Pillar package can be used to get the compliance details of Operational Best Practices for AWS Well Architected Security Pillar.Release Notes:v0.0.1Added following compliance checks:RdsAutomaticMinorVersionUpgradeEnabledRdsInstancePublicAccessCheckRdsSnapshotEncryptedRdsSnapshotsPublicProhibitedRdsStorageEncryptedS3BucketLoggingEnabledS3BucketVersioningEnabled