Saravanan666/pypi-org huggingface dataset:
Package: aec
ActiveMQ Easy ConfigThis project aims a easy way to setup a network of ActiveMQ brokers. You can change easily the topology and this
script will create the configurations based on your setup. ActiveMQ Easy Config will produce for you:Anactivemq.xmlfile for each broker with the specific configuration for the brokerA Docker image for each broker to easy adapt in your container orchestrator.A script for run the docker image locally in order to test your network locally.How it works?Let's take an example of a duplex connection between two ActiveMQ brokers:+----------+                    +----------+
   |          |       Duplex       |          |  
   | Broker 1 | ---<-->----<-->--- | Broker 2 |
   |          |                    |          | 
   +----------+                    +----------+First you have to define theyamlfile with the configuration of your network:brokers:node1:"static:(tcp://node1:61616)"node2:"static:(tcp://node2:61616)"networks:common_configuration:set_broker_name:"false"queue:conduit_subscriptions:"false"consumer_ttl:"1"duplex:"true"message_ttl:"-1"physical_name:">"user_name:"admin"topic:conduit_subscriptions:"true"consumer_ttl:"1"duplex:"true"message_ttl:"-1"physical_name:">"user_name:"admin"network_connector:node1:to:-node2config:queue:duplex:"false"topic:_ignore:"true"node2:to:-node1The first topic in the yaml will define the broker and your respective connection.
If you intend to use docker, the address can be the broker name.You can see a lot of examples of network of brokers in the directorytemplates. In the same directory
you have anactivemq.xmlfile used as base also.After create your template you can just run:pythonaec.py\--configtemplates/simple-duplex-config.yaml\--activemqtemplates/activemq.xml\--save-to/my/path/projectAnd you'll get the follow files as result:node1.xmlnode2.xmlOptionally if you pass a path to aDockerfileand a registry name, the system will create:run.shbuild.shDockerfileYou can runbuild.shto build the docker images andrun.shto run the containers in your local machine.The docker image created can easily adapted to run on Kubernetes, Docker Swarm or ECS.In the foldercheckyou can run a simple producer/consumer to check the communication.InstallingRecommended:pipinstallaecget from sourceJust clone the repository.gitclonegit@github.com:byjg/activemq-easy-configTo DoHelp here is appreciate :)This configuration can be expanded to other features on ActiveMQ.K8s implementationDocker swarm implementationECS implementation
Package: aecc
AECCAECC is the air quality database maintained by SNU APCC.InstallationTo installaecc,pip install https://github.com/danielmsk/snuair/dist/aecc-0.0.1-py3-none-any.whl
pip install aeccPrerequisitepandas (https://pandas.pydata.org/)Getting Started>>> import aecc
>>> aecc.download_key(file="~/user.key")
email: user@email.com
password: userpassword
>>> conn = aecc.connector()
>>> conn.all_regions
['','', '', '', '', ...
>>> conn.all_pollutants
['CO', '']
>>> conn.count_pollutants
{'CO': 323, 'NO': 25}
>>> r = conn.request(region="", from="2007-08-12", to="2020-09-15")
>>> r.download_to_file(path="data/raw.tsv", type="tsv")
>>> r.all_pollutants
['CO', '']
>>> r.count_pollutants
{'CO': 323, 'NO': 25}
>>> list1 = r.to_list()
>>> list1
[ 
	{datetime:"2007-08-12", region="CN", CO2=25.3, },
	{datetime:"2007-08-13", region="CN", CO2=25.3, },
]
>>> s1 = r.to_series()
>>> df1 = r.to_dataframe()

### upload data
>>> conn.dataupload(file="data/update.tsv", type="tsv")
>>> conn.close()Sing-up and sign-inSign-up>>> import aecc
>>> aecc.signup()
user email: user@email.com
user name: Tom
affiliation: snu
password: userpasswordDownload token file>>> aecc.download_token(file="~/user.aecctoken")
email: user@email.com
password: userpasswordRequest DataList Datalisting regions>>> conn.all_regions
['','', '', '', '', ...listing pollutants>>> conn.all_regions
['','', '', '', '', ...listing pmf results>>> conn.list_pmf
['','', '', '', '', ...Print statistics>>> conn.stat
>>> conn.stat_regions
>>> r.statDownload Data>>> r.download_to_file(path="data/raw.csv", type="csv")
>>> r.download_to_file(path="data/raw.xlsx", type="xlsx")Upload DataThis uploading data function is for the users that have permission to upload data. If you don't have permission to upload data, please contact the admin.from fileWhen the excel file has two sheets, the sheet name should include 'conc_' or 'unc_'.
'conc_' means concentration and 'unc_' means uncertainty.>>> conn.upload_from_file(file="data/raw_unc.tsv", filetype="raw", datatype="unc", region="GJ")
>>> conn.upload_from_file(file="data/raw_unc.tsv", filetype="raw", datatype="unc", region="GJ", update_force=True)
>>> conn.upload_from_file(file="data/raw_conc.tsv", filetype="raw", datatype="conc", region="GJ")
>>> conn.upload_from_file(file="data/raw.xlsx", filetype="raw")
>>> conn.upload_from_file(file="data/test_Constrained.xls", filetype="pmf", title="2019_Seoul")AdminitstrationAdministration ManualVersion HistoryVersion History
Package: aec-cli
AWS EC2 CLI"Instead of using the console, use the cli!".Command-line tools for managing pet EC2 instances by name.Defaults only need to be supplied once via aconfig file, which supports multiple profiles for different regions or AWS accounts.For examples see:EC2- manipulate EC2 instances by name, and launch them with tags and EBS volumes of any size, as per the settings in the configuration file (subnet, security group etc).AMI- describe, delete and share imagesCompute Optimizer- show over-provisioned instancesSSM- run commands on instances, andssm patch managementPrerequisitespython 3.8+InstallRun the following to install the latest master version using pip:pip install aec-cliIf you have previously installed aec, run the following to upgrade to the latest version:pip install --upgrade aec-cliNB: Consider usingpipxto install aec-cli into its own isolated virtualenv.ConfigureBefore you can use aec, you will need to create the config files in~/.aec/. The config files contain settings for your AWS account including VPC details and additional tagging requirements.To get started, runaec configure exampleto install theexample config filesand then update them as needed.Handy aliasesFor even faster access to aec subcommands, you may like to add the following aliases to your .bashrc:alias ec2='COLUMNS=$COLUMNS aec ec2'
alias ami='COLUMNS=$COLUMNS aec ami'
alias ssm='COLUMNS=$COLUMNS aec ssm'COLUMNS=$COLUMNSwill ensure output is formatted to the width of your terminal when piped.FAQHow do I use aec with other AWS profiles?To use aec with the named profile 'production':export AWS_DEFAULT_PROFILE=production
aec ec2 describeSimilar projectswallix/awlessis written in Go, and is an excellent substitute for awscli with
support for many AWS services. It has human friendly commands for use on the command line or in templates. Unlikeaecits ec2 create instance command doesn't allow you to specify the EBS volume size, or add tags.achiku/jungleis written in Python, and incorporates a smaller subset of ec2 commands and doesn't launch new instances. It does however have an ec2 ssh command. It also supports other AWS services like ELB, EMR, RDS.ContributingSeeCONTRIBUTING.mdto get started and develop in this repo.
Package: ae-console
console 0.3.68ae namespace module portion console: console application environment.installationexecute the following command to install the
ae.console module
in the currently active virtual environment:pipinstallae-consoleif you want to contribute to this portion then first forkthe ae_console repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(ae_console):pipinstall-e.[dev]the last command will install this module portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.
Package: ae-core
core 0.3.60ae namespace module portion core: application core constants, helper functions and base classes.installationexecute the following command to install the
ae.core module
in the currently active virtual environment:pipinstallae-coreif you want to contribute to this portion then first forkthe ae_core repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(ae_core):pipinstall-e.[dev]the last command will install this module portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.
Package: aeda
Aeda APIAn Aeda service for getting detailed info for cars using registration number.Getting StartedInstallation process1. Install from PyPi using:python -m pip install aeda2. Add global variablesAEDA_API_CAR_USER
AEDA_API_CAR_PASSWORD2.1  UbuntuAdd~/.secrets/aeda.yaml, a YAML file containing:aeda:
    api:
        car:
            user: XXXXXXXX
            password: XXXXXXXXXXXXXXRun in console or add to~/.bashrcor~/.zshrcor other system command config files:export AEDA_API_CAR_USER=$(yq -r '.aeda.api.car.user' ~/.secrets/aeda.yaml)export AEDA_API_CAR_PASSWORD=$(yq -r '.aeda.api.car.password' ~/.secrets/aeda.yaml)Install yq with:apt install yqReload env with:. .~/.bashrc2.2 WindowsUsageRun either using command line or as a python library.1. Command lineRun from command line using:python -m aeda.car.main --regnumber XXXXXXXXXGet help and show all command options:python -m aeda.car.main --help2. APIRun in a python script using:importaeda.caraeda.car.get_car_from_reg_number("XXXXXXXXX")API referencesEndpoint:https://aedacar.azurewebsites.net/api/carParams:"code": "BzaCA1bdqU21cfZVn8r3KJwaoivzaOla7o6sLa-qD0elAzFulXlzyA=="
    "username": USERNAME
    "regNumber": REGNUMBERHeaders:"api-key": APIKEYCURL example:curl --header "api-key: APIKEY" -X GET "https://aedacar.azurewebsites.net/api/car?code=BzaCA1bdqU21cfZVn8r3KJwaoivzaOla7o6sLa-qD0elAzFulXlzyA==&username=USERNAME&regNumber=REGNUMBER"VersionsUsing Calender Versioning:YYYY.MM.PATCHversion "2022.12.20"December 2022Update README.mdChange header key nameversion "2022.12.19"December 2022Update README.mdversion "2022.12.18"December 2022Key moved to headerversion "2022.12.17"December 2022Update error catchingversion "2022.12.17"December 2022Change request structureversion "2022.12.16"December 2022add help descriptionsclean up codeversion "2022.12.15"December 2022extend debug loggingversion "2022.12.14"December 2022add debug loggingversion "2022.12.13"December 2022add csv write and readversion "2022.12.12"December 2022update README.mdversion "2022.12.11"December 2022update README.mdfix small bugsversion "2022.12.10"December 2022update README.mdfix samll bugsimporve structureversion "2022.12.1"December 2022first release
Package: aeda-data
IntroductionTODO: Give a short introduction of your project. Let this section explain the objectives or the motivation behind this project.pep440_version "2022.12.1"
version "2022.12.1"Getting StartedTODO: Guide users through getting your code up and running on their own system. In this section you can talk about:Installation processSoftware dependenciesLatest releasesAPI referencesBuild and TestTODO: Describe and show how to build your code and run the tests.ContributeTODO: Explain how other users and developers can contribute to make your code better.If you want to learn more about creating good readme files then refer the followingguidelines. You can also seek inspiration from the below readme files:ASP.NET CoreVisual Studio CodeChakra Core
Package: ae-db-core
db_core 0.3.15ae namespace module portion db_core: database connection and data manipulation base classes.installationexecute the following command to install the
ae.db_core module
in the currently active virtual environment:pipinstallae-db-coreif you want to contribute to this portion then first forkthe ae_db_core repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(ae_db_core):pipinstall-e.[dev]the last command will install this module portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.
Package: ae-db-ora
db_ora 0.3.7ae namespace module portion db_ora: database system core layer to access Oracle databases.installationexecute the following command to install the
ae.db_ora module
in the currently active virtual environment:pipinstallae-db-oraif you want to contribute to this portion then first forkthe ae_db_ora repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(ae_db_ora):pipinstall-e.[dev]the last command will install this module portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.
Package: ae-db-pg
db_pg 0.3.7ae namespace module portion db_pg: postgres database layer.installationexecute the following command to install the
ae.db_pg module
in the currently active virtual environment:pipinstallae-db-pgif you want to contribute to this portion then first forkthe ae_db_pg repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(ae_db_pg):pipinstall-e.[dev]the last command will install this module portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.
Package: ae-deep
deep 0.3.10ae namespace module portion deep: easy handling of deeply nested data structures.installationexecute the following command to install the
ae.deep module
in the currently active virtual environment:pipinstallae-deepif you want to contribute to this portion then first forkthe ae_deep repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(ae_deep):pipinstall-e.[dev]the last command will install this module portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.
Package: aedev
aedevnamespace-root projectaedev namespace-root: aedev namespace root, providing setup, development and documentation tools/templates for Python projects.aedev namespace root package use-casesthis project is maintaining all the portions (modules and sub-packages) of the aedev namespace to:update and deploy common outsourced files, optionally generated from templatesmerge docstrings of all portions into a single combined and cross-linked documentationpublish documentation via Sphinx ontoReadTheDocsrefactor multiple or all portions of this namespace simultaneously using the grm portions actionsthis namespace-root package is only needed for development tasks, so never add it to the installation requirements
file (requirements.txt) of a project.to ensure the update and deployment of outsourced files generated from the templates provided by this root package via
thegit repository manager tool, add this root package to the
development requirements file (dev_requirements.txt) of a portion project of this namespace.the following portions are currently included in this namespace:aedev_tpl_namespace_rootaedev_tpl_projectaedev_git_repo_manageraedev_setup_projectaedev_tpl_appaedev_setup_hook
Package: aedev-aedev
aedevnamespace-root projectaedev namespace-root: aedev namespace root, providing setup, development and documentation tools/templates for Python projects.aedev namespace root package use-casesthis package is the root project of the aedev namespace and their portions (the modules
and sub-packages of the namespace aedev). it provides helpers and templates in order to
bundle and ease the maintenance, for example to:update and deploy common outsourced files, optionally generated from templates.merge docstrings of all portions into a single combined and cross-linked documentation.compile and publish documentation via Sphinx ontoReadTheDocs.bulk refactor multiple portions of this namespace simultaneously using thegit repository manager tool (grm).to enable the update and deployment of outsourced files generated from the templates provided by
this root package, add this root package to the development requirements file (dev_requirements.txt)
of each portion project of this namespace. in this entry you can optionally specify the version of
this project.and because this namespace-root package is only needed for development tasks, it will never need to
be added to the installation requirements file (requirements.txt) of a project.please check thegit repository manager manualfor more detailed information on the provided actions of thegrmtool.installationno installation is needed to use this project for your portion projects, because thegrmtool is
automatically fetching this and the other template projects fromhttps://gitlab.com/aedev-group(and
in the specified version).an installation is only needed if you want to adapt this namespace-root project for your needs or if you want
to contribute to this root package. in this case please follow the instructions given in the
:ref:contributingdocument.namespace portionsthe following 6 portions are currently included in this namespace:aedev_setup_projectaedev_tpl_projectaedev_tpl_namespace_rootaedev_tpl_appaedev_git_repo_manageraedev_setup_hook
Package: aedev-git-repo-manager
git_repo_manager 0.3.71aedev namespace package portion git_repo_manager: create and maintain local/remote git repositories of Python projects.installationexecute the following command to install the
aedev.git_repo_manager package
in the currently active virtual environment:pipinstallaedev-git-repo-managerif you want to contribute to this portion then first forkthe aedev_git_repo_manager repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(aedev_git_repo_manager):pipinstall-e.[dev]the last command will install this package portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.
Package: aedev-pythonanywhere
pythonanywhere 0.3.3aedev namespace module portion pythonanywhere: web api forwww.pyanywhere.comand eu.pyanywhere.com.installationexecute the following command to install the
aedev.pythonanywhere module
in the currently active virtual environment:pipinstallaedev-pythonanywhereif you want to contribute to this portion then first forkthe aedev_pythonanywhere repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(aedev_pythonanywhere):pipinstall-e.[dev]the last command will install this module portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.
Package: aedev-setup-hook
setup_hook 0.3.6aedev namespace module portion setup_hook: individually configurable setup hook.installationexecute the following command to install the
aedev.setup_hook module
in the currently active virtual environment:pipinstallaedev-setup-hookif you want to contribute to this portion then first forkthe aedev_setup_hook repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(aedev_setup_hook):pipinstall-e.[dev]the last command will install this module portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.
Package: aedev-setup-project
setup_project 0.3.19aedev namespace module portion setup_project: project setup helper functions.installationexecute the following command to install the
aedev.setup_project module
in the currently active virtual environment:pipinstallaedev-setup-projectif you want to contribute to this portion then first forkthe aedev_setup_project repository at GitLab.
after that pull it to your machine and finally execute the
following command in the root folder of this repository
(aedev_setup_project):pipinstall-e.[dev]the last command will install this module portion, along with the tools you need
to develop and run tests or to extend the portion documentation. to contribute only to the unit tests or to the
documentation of this portion, replace the setup extras keydevin the above command withtestsordocsrespectively.more detailed explanations on how to contribute to this projectare available herenamespace portion documentationinformation on the features and usage of this portion are available atReadTheDocs.