Saravanan666/pypi-org huggingface dataset:
Package: armmwave
armmwaveCode that calculates transmittace and reflectance of materials at millimeter
wavelengths.This software was developed to aid in development of anti-reflection coatings
for millimeter-wave optics---specifically, for optics used in Cosmic Microwave
Background (CMB) experiments. CMB experiments have begun to adopt
high-refractive index materials for their lenses. While there are many perks to
this optical design, there are also a few drawbacks. One of these is reflection.High-refractive index materials---such as aluminum oxide and silicon, both of
which are used in CMB experiments---reflect a significant fraction of the light
that fall on them. To reduce that fraction we create anti-reflection coatings to
cover the lenses.One way to make a coating that operates over a wide range of frequencies
(wavelengths) is to stack layers of different dielectric materials. Working out
the transmittance and reflectance of a multilayer dielectric structure is a
problem that can be handled using the characteristic matrix method. Enterarmmwave.Please note: This code is under active development. While it has been verified
against experimental spectroscopic data (~25 to 500 GHz; examples will be
uploaded soon), make sure you understand the intricacies of your specific data
or model.Examplesarmmwaveprovides a means to set up and evaluate models of multilayer
dielectric media. To do this, create one or moreLayer's (with associated
refractive index and thickness---and an optional loss term), create aSourcelayer andTerminatorlayer (which are required for bookkeeping), and aModel. By default, reflectance and transmittance is calculated between 500 MHz
and 500 GHz, but you can change this if you want. Here's an example model of a
sheet of ceramic material (in this case aluminum oxide) in a vacuum:importarmmwave.layerasawlimportarmmwave.modelasawm# First create a list of layers (dielectrics) in the order# they should be evaluatedlayers=[awl.Source(),awl.Layer(rind=3.1,thick=2e-3),# thickness in metersawl.Terminator()]# Now create the model framework, feed it the layers, and run!model=awm.Model()model.set_up(layers)results=model.run()model.run()returns a dictionary with three keys:frequency,transmittance, andreflectance.Contribution guidelinesThis code is under active development. If you have an idea for a feature or use
case, please open an issue ticket. Let's talk! If you have an idea and you've
already written the code---that's great! Create a pull request and we can go
from there.BugsLet's face it: there are probably bugs. If you find one, please open an issue
ticket. Include a description of the issue and, if possible, a minimal working
example. I appreciate your patience (and your help).TODOFigure out how to make TravisCI make wheels for meBetter docsExamples
Package: armodel
1. py-armodel1.1. PurposeTo support AUTOSAR model with python1.2. Reference DocumentsAUTOSAR_TPS_XMLSchemaProductionRules.pdfAUTOSAR_TPS_ARXMLSerializationRules.pdfVersionDocumentationTravis CICoverage StatusPypi1.3. How to create the distribution and upload to pypiRunpython setup.py bdist_wheelto generate distributionRuntwine check dist/*to check the validation of distributionRuntwine upload dist/*to upload to pypi repositoryCheck the websitehttps://pypi.org/project/armodel/to find out it works or notAnd more details can be found athttps://packaging.python.org/1.4. How to perform Unit testRunpip install pytest pytest-covto install pytest.Runpytest --cov=armodel --cov-report term-missingto verify all the functionality.1.5. How to create a distribution and wheelRunpython setup.py sdist bdist_wheel --universal1.6. How to create the documentRunpip install sphinxto install the necessary document1.7. Heritage- ARObject
  - Referrable
    - MultilanguageReferrable
      - Identifiable
        - PackageableElement
          - ARElement
            - AtpType
              - AutosarDataType
              - PortInterface
                - DataInterface
                  - NvDataInterface
                  - ParameterInterface
                  - SenderReceiverInterface
            - BswModuleEntry
          - Implementation
            - BswImplementation
        - AtpFeature
          - AtpPrototype
            - AtpPrototype
              - DataPrototype
                - AutosarDataPrototype
                  - VariableDataPrototype
                - ApplicationCompositeElementDataPrototype
                  - ApplicationArrayElement
                  - ApplicationRecordElement
          - AtpStructureElement
            - BswModuleDescription
        - ExecutableEntity
        - SwcBswMapping
  - ValueSpecification
    - ConstantReference1.8. CLI usages1.8.1. arxml-dumpDump all the arxml data to screenarxml-dump --arxml arg -h--arxml arg     The file name of arxml data-h              show the help information1.8.2. Example for arxml-dumpDump the arxml data from test1.arxml and test2.arxmlarxml-dump --arxml test1.arxml --arxml test2.arxml1.9. API1.9.1. ConstructorARXMLParser(options={"warning": True})1.10. Change notes:Version 0.1.1Add the ARRAY category support for ImplementationDataTypeVersion 0.1.2Add the AsynchronousServerCallPoint support for ARXMLVersion 0.1.3Fix the attribute intervalType ofLimitis empty issue.Version 1.0.0Add the logging supportAdd the  option to disable exception raised.Add the BswMD supportVersion 1.1.0Add the InitEvent support. (Issue #5)Add the DataReceiveEvent support. (Issue #5)Add the SwcModeSwitchEvent support. (Issue #5)Add the number format alignment supporting for MemorySectionAdd the more features supporting for BswImplementation
Package: armone
ArmoneA powerful command-line tool to obfuscate python scripts effectively!Installationpipinstallarmonepipx
pipxensurepath
pipxinstallarmoneUsageObfuscatemy_code.pyand generate a new fileobfuscated.pyin the cwd:armonemy_code.pySpecify the output file:armonemy_code.py-oobfuscated.pyFeaturesRemoves all comments and docstringsRenames all the functions, classes, and variablesInflates code by inserting junk code [IN PROGRESS]Messes up the formatting and adds confusing comments [IN PROGRESS]Puts the code through up to 32 layers of encoding ranging from base 1 to base 90Uses zlib and LZMA for further obfuscation and to reduce file size [IN PROGRESS]
Package: armonik
ArmoniK.Api Python packageThis folder contains the necessary scripts to generate the ArmoniK.Api Python package. Please note that while the package generation is platform dependent, the generated packageshouldbe compatible with Linux and Windows.Install the Python Package from PyPIAt each release, we provide a prepackaged version of ArmoniK.Api available on PyPI here :https://pypi.org/project/armonik.
To install the package to your current Python environment, you can use pip :pip install armonikLinux /WSLHow to generateRequirements :Python >= 3.7Python3-venvPip3BashIf the python command doesn't link to python3 on your system, you may be able to install the package python-is-python3, which links python to python3.To generate the package from sources, run theproto2python.shscript from its folder. You need to specify a directory where the virtual environment used for the build will be located. For example the following command will generate the packages and will create the build environment "pyvenv" in the current user's home directory:./proto2python.sh~/pyvenv3 folders will be created :generated : contains the source files used to create the packagebuild : contains the source files used to create the wheel packagepkg : contains the sdist and wheel packagesInstead of running the script you can install the armonik package in "editable" mode, allowing you to make changes to the source code, and the changes will be reflected immediately without reinstalling the package.pipinstall-e./packages/pythonHow to install the generated packageFrom this directory, use the following command:pip install pkg/armonik*.whlThe generated package will be installed to your current python environmentWindowsComing soonTestsTest Environment SetupBefore running tests, ensure the following setup steps are completed:Install Dependencies:sudoaptinstalldotnet-sdk-6.0jqLaunch the Mock Server:Verify that port 5000 is available (Armonik and the mock server communicate on the same port, uninstall armonik if necessary):lsof-i:5000Launch the server from the project's root directory in a separate terminal:cdpackages/csharp/ArmoniK.Api.Mock
dotnetrunTest Environment SummaryThe test environment utilizes a mock endpoint to assert if the ArmoniK service has been triggered. It leverages the requests library to query the /calls.json endpoint, examining the JSON response to validate the count of remote procedure calls made to specific services and methodscurllocalhost:5000/calls.json|jqWARNINGNote for UsersStarting from gRPC version 1.57 and onward, it is necessary to explicitly specify the default authority when creating the gRPC channel.more details
Package: armorblox-sdk
Armorblox Python SDK (Alpha)This is an alpha version of the SDK with limited documentation and no support.RequirementsPython 3.5+Installationpip install armorblox-sdkUsagefrom armorblox import client

# Create an API client for your tenant
c = client.Client(api_key='your-api-key-here', instance_name='yourtenantname')

# Fetch information about an incident's analysis data
incident_analysis = c.incidents.analysis(78143)

# Fetch information about an incident's sender data
incident_senders = c.incidents.senders(78143)

# Fetch information about an object associated with an incident (usually mail). 
# Get the object ID from Get Incident by Id's response, under .events[].object_id
incident_object = c.incidents.mail('d72c07bc789c30cb4d63d78ee2861f94add695f9c812e30cfb081b20d3e7e5e7')

# Updates the action to be taken for an incident's objects
update_details = c.incidents.update(78143, body = {
                  "policyActionType": "DELETE",
                  "addSenderToException": False,
                  "actionProfileId": ""
                })


# Fetch a list of threats
threat_incidents, next_page_token, total_incident_count = c.threats.list()

# Fetch a specific threat
incident = c.threats.get(44006)


# Fetch a list of abuse incidents
abuse_incidents, next_page_token, total_incident_count = c.abuse_incidents.list()

# Fetch a specific abuse incident
abuse_incident = c.abuse_incidents.get(44200)


# Fetch a list of DLP incidents
dlp_incidents, next_page_token, total_incident_count = c.dlp_incidents.list()

# Fetch a specific DLP incident
dlp_incident = c.dlp_incidents.get(44010)


# Fetch a list of EAC incidents
eac_incidents, next_page_token, total_incident_count = c.eac_incidents.list()

# Fetch a specific EAC incident
eac_incident = c.eac_incidents.get(67)


# Fetch a list of Graymail incidents
graymail_incidents, next_page_token, total_incident_count = c.graymail_incidents.list()

# Fetch a specific EAC incident
graymail_incident = c.graymail_incidents.get(2627)


# Example to fetch all threats using next_page_token
next_page_token = None
incidents = []
while True:
    threats, next_page_token, total_incident_count = c.threats.list(page_token=next_page_token)
    incidents.extend(threats)
    if not next_page_token:
        breakContributingInstallPoetryClone the SDK repo &cdinto itgit clone https://github.com/armorblox/armorblox-python-sdk
cd armorblox-python-sdkRunpoetry installto install the dependenciesRuntoxto run the testsPublishingTestPyPIOne-time setuppoetry config repositories.test-pypi https://test.pypi.org/legacy/
poetry config pypi-token.test-pypi <your-TestPyPI-token>Publishingpoetry publish --build -r test-pypiUsepip install --index-url https://test.pypi.org/simple/ --no-deps armorblox-sdkto make sure the installation works correctly.PyPIOne-time setuppoetry config pypi-token.pypi <your-PyPI-token>Publishingpoetry publish --build
Package: armored
Utility Package:ArmoredTable of Contents:InstallationModelsData TypesConstraintsDatasetsLineagesEnumsUsecaseThis models package,Armored, implements any model objects forData PipelineorData Platform. The Model objects was implemented from thePydantic V2.The model able to handle common logic validations and able to adjust by custom code
for your specific requirements (Yeah, it just inherits Sub-Class fromBaseModel).Installationpipinstall-UarmoredModelsData Typesfromarmored.dtypeimportStringTypedtype=StringType()assertdtype.type=="string"assertdtype.max_length==-1Constraintsfromarmored.constimportPkconst=Pk(of="foo",cols=["bar","baz"])assertconst.name=="foo_bar_baz_pk"assertconst.cols==["bar","baz"]Datasetsfromarmored.datasetsimportCol,Tblcol=Col(name="foo",dtype="varchar( 100 )")assert"foo"==col.nameassert"varchar"==col.dtype.typeassert100==col.dtype.max_lengthtbl=Tbl(name="foo",feature=[Col(name="id",dtype="integer primary key"),Col(name="foo",dtype="varchar( 10 )"),],)assert"foo"==tbl.nameassert"id"==tbl.feature[0].nameLineagesEnumsUsecaseIf I have some catalog config, it easy to pass this config to model object.importyamlfrompydanticimportBaseModelfromarmored.datasetsimportTblclassSchema(BaseModel):name:strobjects:list[Tbl]config=yaml.safe_load("""name: "warehouse"objects:- name: "customer_master"feature:- name: "id"dtype: "integer"pk: true- name: "name"dtype: "varchar( 256 )"nullable: false""")feature=Schema.model_validate(config)assert1==len(feature.objects)LicenseThis project was licensed under the terms of theMIT license.
Package: armory-api-lib
ArmoryAPI Python PackageDownload from Github📥 :pip install

pipy LinkUsage/Doc 🔧:from ArmoryApi import armoryAPI, armoryAPIUser

requestPage = rank/top/champions
user = Username

armoryAPI(requestPage)

armoryAPIUser(requestPage, user)Licence 📝:(MIT LICENCE)

This is not a Package from Armory Des Buissons Staff
Not Official
Package: armory-examples
OverviewThis project includes example Python scripts and Jupyter notebook usages of the
Armory library. These are a good starting point for developers looking to
use Armory in their own projects.Installationpipinstall--editable./examplesUsageJupyter notebooks can be found in examples/notebooks and Python scripts are in
src/armory/examples subdirectories.AcknowledgmentThis material is based upon work supported by the Defense Advanced Research Projects
Agency (DARPA) under Contract No. HR001120C0114. Any opinions, findings and
conclusions or recommendations expressed in this material are those of the author(s)
and do not necessarily reflect the views of the Defense Advanced Research Projects
Agency (DARPA).
Package: armory-library
OverviewCharmory is a scaffolding name as we rework code coming from thearmory.namespace.
It is slated to be renamed toarmoryonce we adapt all legacy code that needs
to be adapted. We expect thecharmory.namespace to be disappear by the end of 2023.Presently, working use of armory-library, as shown in theexamples/directory
imports symbols from botharmoryandcharmorynamespaces. Soon a global substitution
in user code fromcharmoryto simplyarmorywill be needed. We'll announce
in the release notes when this is needed.Installation & Configurationpipinstallarmory-libraryWill make thearmoryandcharmorynamespaces available to your Python environment.
Package: armour
armourpassword securing, management and generation toolsuserland toolsseepwdtoolspipinstallpwdtoolsthese tools use thearmourlibrary for user interaction, armour is just a library,
pwdtools, on the other hand, provides cli interface with this library such aspwdgenfor
password generation and so on, sourceproofi've used armour in multiple projects already and i can say that armour is a great library
for generating secure human-readable secrets and stuff like that with high security and entropy,
and also keeping it shorter than just 10000 chars longit is provably better than cryptographically secure bytes + base85 encoding, b85 has more
characters and cryptographically secure bytes should be very random and unpredictable,
i've even made a script to demonstrate that :armour 1483 72.412109375
b85_shuf 272 13.28125
b85_norm 293 14.306640625

winner is armour with score 1483 or 72.412109375 percent of the winsscript is located attests/proof.py, it tests password strengths for same length passwords
( by default 2048 runs and 2048 character length passwords )magic filemagic file is used byfilecmd to get metadata about a file, if u want that, usescripts/gen_magic.pyscriptxdg mime filelocated at/scripts/application-pdb.xmldocumentationsee the/doc/folder
Package: armpicom
Generate RPI project configuration/build setuparmpicomis toolset for generation of RPI PICO project configuration/build setup.Developed inpythoncode.The README is used to introduce the modules and provide instructions on
how to install the modules, any machine dependencies it may have and any
other information that should be provided before the modules are installed.Table of ContentsInstallationInstall using pipInstall using buildInstall using py setupInstall using dockerDependenciesTool structureDocsContributingCopyright and licenceInstallationUsed next development environmentCurrently there are three ways to install packageInstall process based on using pip mechanismInstall process based on build mechanismInstall process based on setup.py mechanismInstall process based on docker mechanismInstall using pipPython is located atpypi.org.You can install by using pip# python3pip3installarmpicomInstall using buildNavigate to releasepagedownload and extract release archive.To installarmpicomtype the followingtarxvzfarmpicom-x.y.z.tar.gzcdarmpicom-x.y.z/# python3wgethttps://bootstrap.pypa.io/get-pip.py
python3get-pip.pypython3-mpipinstall--upgradesetuptools
python3-mpipinstall--upgradepip
python3-mpipinstall--upgradebuild
pip3install-rrequirements.txt
python3-mbuild--no-isolation--wheel
pip3install./dist/armpicom-*-py3-none-any.whl
rm-fget-pip.py
chmod755/usr/local/lib/python3.9/dist-packages/usr/local/bin/armpicom_run.py
ln-s/usr/local/lib/python3.9/dist-packages/usr/local/bin/armpicom_run.py/usr/local/bin/armpicom_run.pyInstall using py setupNavigate torelease pagedownload and extract release archive.To installarmpicomlocate and run setup.py with argumentstarxvzfarmpicom-x.y.z.tar.gzcdarmpicom-x.y.z# python3pip3install-rrequirements.txt
python3setup.pyinstall_lib
python3setup.pyinstall_egg_infoInstall using dockerYou can use Dockerfile to create image/container.Dependenciesarmpicomrequires next modules and librariesats-utilities - Python App/Tool/Script UtilitiesTool structurearmpicomis based on OOP.Tool structurearmpicom/├──conf/│├──armpicom.cfg│├──armpicom.logo│├──armpicom_util.cfg│├──project.yaml│└──template/│├──build/││└──armpicom.md│├──CMakeLists.template│├──pico_sdk_import.template│├──pro_auto_set_url.template│└──src/│├──CMakeLists.template│└──main.template├──__init__.py├──log/│└──armpicom.log├──pro/│├──__init__.py│├──read_template.py│└──write_template.py└──run/└──armpicom_run.py8directories,16filesDocsMore documentation and info atarmpicom.readthedocs.iowww.python.orgContributingContributing to armpicomCopyright and licenceCopyright (C) 2021 - 2024 byvroncevic.github.io/armpicomarmpicomis free software; you can redistribute it and/or modify
it under the same terms as Python itself, either Python version 3.x or,
at your option, any later version of Python 3 you may have available.Lets help and support PSF.
Package: arm-pyart
a growing collection of weather radar algorithms and utilities build on top of
the Scientific Python stack and distributed under the 3-Clause BSD license.
Py-ART is used by the Atmospheric Radiation Measurement (ARM) Climate Research
Facility for working with data from a number of precipitation and cloud radars,
but has been designed so that it can be used by others in the radar and
atmospheric communities to examine, processes, and analyse data from many types
of weather radars.
Package: arm-segmentation
This repository contains very simple training, inference, and visualization code for instance segmentation.
This is a good choice for when you don't want to get into the details and just want a model that works well and is cheap
and fast (compared to services like AWS)DataThis repository assumes you have used RoboFlow to annotate your dataset.
You should export your dataset as a COCO style dataset, which stores annotations in JSON.Installation & SetupYou can install via pippip install arm_segmentationOr you can clone the source code and install it that way.Clone this repositorygit clone git@github.com:UM-ARM-Lab/arm_segmentation.gitIn an existing or new python virtual environment, install the dependenciespip install -r requirements.txtTrain# You may need export PYTHONPATH=./src, or you can try pip install -e .
./scripts/train.py path_to_dataset
./scripts/visualize_validation.py path_to_dataset
Package: armsim
armsim is an ARM Simulator for LinuxObjectivearmsim has the objective of simulating arm based processors starting with the
at91sam9260nonetheless, it is designed to be extensible, so you’ll be able to write you
own classes to plug in you microcontrollerIs is designed for Linux and Python2.6 so be sure you have these requirements.Current StatusCurrently a total of 20 instructions are supported, even tough most of them
are recognized.The project is being developed quickly so you can expect the complete
instruction set to be supported in a few weeks
Package: armstrong.apps.articles
Provides a basic Article model for ArmstrongUsageYou can use theArticlemodel from within any project you like.  It’s
available to import like this:from armstrong.apps.articles.models import ArticleYou have access to both traditionalManagervia theobjectsproperty
as well as aPublishedManagerfromarmstrong.core.arm_contentvia thepublishedproperty.Installation & ConfigurationYou can install the latest release ofarmstrong.apps.articlesusingpip:pip install armstrong.apps.articlesMake sure to addarmstrong.apps.articlesandarmstrong.apps.contentto
yourINSTALLED_APPS.  You can add this however you like.  This works as a
copy-and-paste solution:INSTALLED_APPS += ["armstrong.apps.articles", "armstrong.apps.content", ]armstrong.apps.contentis required becauseArticleextends from theContentmodel insideapps.content.Once installed, you have to run eithersyncdb, ormigrateif you are
usingSouth.ContributingCreate something awesome – make the code better, add some functionality,
whatever (this is the hardest part).Fork itCreate a topic branch to house your changesGet all of your commits in the new topic branchSubmit apull requestState of ProjectArmstrong is an open-source news platform that is freely available to any
organization.  It is the result of a collaboration between theTexas TribuneandBay Citizen, and a grant from theJohn S. and James L. Knight
Foundation.  The first release is scheduled for June, 2011.To follow development, be sure to join theGoogle Group.armstrong.apps.articlesis part of theArmstrongproject.  You’re
probably looking for that.LicenseCopyright 2011-2012 Bay Citizen and Texas TribuneLicensed under the Apache License, Version 2.0 (the “License”);
you may not use this file except in compliance with the License.
You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an “AS IS” BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.