Saravanan666/pypi-org huggingface dataset:
Package: pyavl-wrapper
pyAVLDocumentationpyAVL is a stripped down version of Mark Drela and Harold Youngren's famous AVL code wrapped in python with f2py.
This allows one to more easily conduct large parameter sweeps in AVL or to include AVL into a larger model.
Additionally, this wrapper provides access to more data than is available through traditional file output.
Unlike in the output files which is limit to about 4 digits, the user has access to the full double precision data.InstallationThe best way to get pyAVL is to install it through pippip install pyavl-wrapperThis version even comes packaged with OpenBLAS for faster analysis.Currently, only Linux and macOS are supported.
The process of building on Windows still has issues.
For now Windows users will have to use pyAVL through Windows subsystem for Linux (WSL).building locallyIf you want to make pyAVL locally then you have to clone the repository and use the following process.In the root directory runpip install .Basic usageThe API of pyAVL was made to mirror the usage of AVL through its text interface.
The user loads in a geometry file, adds constraints, and then executes analysis runs.The AVL wrapper is implemented in theAVLSolverclass.
To use this wrapper, first one must initialize theAVLSolverobject with a geometry file and optionally a mass file.
After, the user can add constraints and then execute the run to generate data.
Below is a basic example of this workflow.frompyavlimportAVLSolverimportnumpyasnpavl_solver=AVLSolver(geo_file="aircraft.avl")avl_solver.add_constraint("alpha",0.00)# control surface names from geometry fileavl_solver.add_constraint("Elevator",0.00,con_var="Cm pitch moment")avl_solver.add_constraint("Rudder",0.00,con_var="Cn yaw moment")avl_solver.set_case_parameter("Mach",0.3)# This is the method that acutally runs the analysisavl_solver.execute_run()print("----------------- alpha sweep ----------------")print("   Angle        Cl           Cd          Cdi          Cdv          Cm")foralphainrange(10):avl_solver.add_constraint("alpha",alpha)avl_solver.execute_run()run_data=avl_solver.get_case_total_data()print(f'{alpha:10.6f}{run_data["CL"]:10.6f}{run_data["CD"]:10.6f}{run_data["CDi"]:10.6f}{run_data["CDv"]:10.6f}{run_data["CM"]:10.6f}')avl_solver.CLSweep(0.6,1.6)print("----------------- CL sweep ----------------")print("   Angle        Cl           Cd          Cdff          Cdv          Cm")forclinnp.arange(0.6,1.6,0.1):avl_solver.add_trim_condition("CL",cl)avl_solver.execute_run()run_data=avl_solver.get_case_total_data()alpha=avl_solver.get_case_parameter("alpha")print(f'{alpha:10.6f}{run_data["CL"]:10.6f}{run_data["CD"]:10.6f}{run_data["CDi"]:10.6f}{run_data["CDv"]:10.6f}{run_data["CM"]:10.6f}')
Package: pyavo
A python library for AVO analysis.StatusThe pyavo module contains geophysics functions used to generate AVO attributes from Pre-Stack Data, model tuning-wedge/tuning-prestack and perform Gassmann fluid substitution.InstallationInstall withpipinstallpyavopyavorequires Pandas, NumPy, Matplotlib, xarray, segyio.LinksDocumentationProject pageIssue TrackerPyPiTutorials
Package: pyavrdebug
pyavrdebugpyavrdebug is a GDB RSP server for connecting GDB debug clients to AVR target devices through pymcuprogUsageThe remainder of this package is intentionally blankLoggingThis package uses the Python logging module for publishing log messages to library users.
A basic configuration can be used (see example below), but for best results a more thorough configuration is
recommended in order to control the verbosity of output from dependencies in the stack which also use logging.importlogginglogging.basicConfig(format="%(levelname)s:%(message)s",level=logging.WARNING)
Package: pyavroc
An Avro file reader/writer for Python.Usage>>>importpyavroc>>>withopen('myfile.avro')asfp:>>>reader=pyavroc.AvroFileReader(fp,types=True)>>>forrecordinreader:>>>printrecordComparison with original Avro Python APIpyavroc is a Python API on top of upstream Avro-C. This means it reads
about 40 times faster than Avro’s Python implementation. (The exact
timings depend on the version of Python used).NameDescriptionRelative speed (bigger is better)python-avroAvro’s implementation (pure Python)1fastavropython-avro improved, using Cython10pyavrocPython/C API on upstream Avro-C40Building the moduleYou will need to build Avro-C with a number of patches applied. This is
available athttps://github.com/Byhiras/avro.git, branch “patches”.Then you can build pyavroc, linking against the Avro-C shared library.The pyavroc repository contains the scriptclone_avro_and_build.shwhich automates this process:./clone_avro_and_build.shWriting recordspyavroc supports writing, both for records created as dictionaries, and
for records created as Python objects.More examplesMore examples are available in thetestsdirectory.LicenseCopyright 2015 Byhiras (Europe) LimitedLicensed 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 at:http://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.
Package: pyavro-gen
pyavro-genStandard Avro implementation for Python is typeless and operates ondicts.
While this is convenient for small projects, larger ones, often with hundreds of schemas,
certainly benefit from the ability to enforce schemas during record construction.This library allows Python Avro users to employ Specific Records.Usage:pipinstallpyavro-genpyavrogen.py-v\-imy_schemas_dir\-ojaumoavro\-ie'avsc'\-bcom.jaumo.schema\-rcom.jaumo.schema.rpc\-tcom.jaumo.schema.typeNow you can import your classes likefromjaumoavro.com.jaumo.schema.domain.userimportUpdatedu=Updated(...)Generation and test programmaticallyfromavro_preprocessor.avro_pathsimportAvroPathsfrompyavro_gen.generatorimportAvroGeneratorgenerator=AvroGenerator(AvroPaths(input_path='myschemas/',output_path='avroclasses/',input_schema_file_extension='avsc',base_namespace='com.jaumo.schema',rpc_namespace='com.jaumo.schema.rpc',types_namespace='com.jaumo.schema.type',))generator.process()Generation using custom classes:frompyavro_gen.generation_classesimportGENERATION_CLASSES,GenerationClassesTypefrompyavro_gen.codewriters.baseimportDecorator,ClassWriter,ExtensionfromtypingimportOptional# First define two custom ClassWritersclassRpcWriter(ClassWriter):def__init__(self,fully_qualified_name:str,doc:Optional[str]=None,prefix:Optional[str]=None):super().__init__(fully_qualified_name,doc,prefix)self.extensions=[Extension('abc.ABC')]classUndictifiableClassWriter(ClassWriter):def__init__(self,fully_qualified_name:str,doc:Optional[str]=None,prefix:Optional[str]=None):super().__init__(fully_qualified_name,doc,prefix)self.decorators=[Decorator('@type_checked_constructor()',ClassWriter('undictify.type_checked_constructor')),Decorator('@dataclass',ClassWriter('dataclasses.dataclass'))]# Then, register them in the GENERATION_CLASSES variableGENERATION_CLASSES[GenerationClassesType.RECORD_CLASS]=UndictifiableClassWriterGENERATION_CLASSES[GenerationClassesType.RPC_CLASS]=RpcWriter# Then, generate classes in module `avroclasses` as shown above.
Package: py-avro-schema
py-avro-schemaGenerateApache Avroschemas for Python types including standard librarydata-classesandPydantic data models.:blue_book: Documentation:https://py-avro-schema.readthedocs.ioInstallingpython-mpipinstallpy-avro-schemaDevelopingTo setup a scratch/development virtual environment (under.venv/), first installTox.
Then run:tox-edevThepy-avro-schemapackage is installed ineditable modeinside the.venv/environment.Run tests by simply callingtox.Install code quality Git hooks usingpre-commit install --install-hooks.Terms & ConditionsCopyright 2022 J.P. Morgan Chase & Co.Licensed 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.ContributingSeeCONTRIBUTING.md
Package: pyav-test
Testing AVTutorial of Publishing Python PackageFunctionality of the Music PlayerBetter Looking GUIPause/Play SupportedAdd/Delete songs from PlaylistPrevious/Next song functionTime duration of song / next song displaysList of all the songs.Adjust VolumeAutomatically Playing in QueuePlay Selected song from PlaylistUsageMake sure you have Python installed in your system.Run Following command in the CMD.pip install PyMusic-PlayerExample# test.py
from PyMusic_Player import Music_Player_GUI

## Make sure all the .MP3 songs besides in the folder
song_dir = 'path/of/songs_dir'

# If you want to give the Icon, make sure you have downloaded proper .ICO file.
icon = 'your.ico'
Music_Player_GUI(song_dir,icon)Run the following Script.python test.pyScreenshotsNoteI have tried to implement all the functionality, it might have some bugs also. Ignore that or please try to solve that bug.
Package: pyavtools
Copyright (c) 2019 MakerPlanepyAvTools is an open source aviation tool kit, providing useful modules for Python based
Aviation apps, including:
* Data management package for charting objects
* Flight Information eXchange (FIX) database module
* A hard-button based user interface layer utilizing Qt (no keyboard or mouse required)Uses a rotary encoder + push buttonsNumberWidget (Show/Change a number)ChoiceWidget (Show/Change a radio-button style section)SelectMenuWidget (Show/Change a menu style section)FIXDisplay (Show a collection of FIX database items)Others for future considerationInstallationBegin by cloning the Git repositorygit clone git@github.com:makerplane/pyAvTools.gitorgit clone https://github.com/makerplane/pyAvTools.gitIf you’d like to install the program permanently to your system or into a virtualenv you
can issue the command…sudo pip3 install .from the root directory of the source repository.CautionThis feature is still
in development and may not work consistently.DevelopmentTo set up your development environment, you can create a virtualenv:make venvThen, you can install all required dependencies:make initAfterwards, you are ready to develop. Once one or more dependencies have changed, simply runmake initagain.DistributionTo create a Python wheel for distribution, run:make wheelThe wheel will be then created in thedist/directory.Requirements
Package: pyaw
PYthonAssemblyWrapperAbout PYAWPYAW allows you to call assembly from pythonInstallationpip install pyawExamplelib.asmglobalfoofoo:movrax,100retmain.pyimportpyawlib=pyaw.load_asm('lib.asm',[['foo',[],'int']])print(lib.foo())# this prints 100The first argument topyaw.load_asmis the fileThe second argument is a list which contains information about the exported function insidelib.asmThe first item is a list which follows the format of[function_name,[argument types],returntype]The only type allowed currently isintwhich can be inputed as"int"rather than the class because it gets changed toctypes.c_int
Package: pyawabi
pyawabipyawabiis a python warapper for awabi(https://github.com/nakagami/awabi).Requirementspython3.6+Rusthttps://www.rust-lang.org/learn/get-startedpython3-dev packageshttps://github.com/PyO3/pyo3#usageMeCab dictionaryhttps://github.com/nakagami/awabi#requirements-and-how-to-installInstall$ pip install pyawabiHow to usepyawabi command$ echo 'すもももももももものうち'  | pyawabi
すもも  名詞,一般,*,*,*,*,すもも,スモモ,スモモ
も      助詞,係助詞,*,*,*,*,も,モ,モ
もも    名詞,一般,*,*,*,*,もも,モモ,モモ
も      助詞,係助詞,*,*,*,*,も,モ,モ
もも    名詞,一般,*,*,*,*,もも,モモ,モモ
の      助詞,連体化,*,*,*,*,の,ノ,ノ
うち    名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ
EOS$ echo 'すもももももももものうち'  | pyawabi -N 2
すもも  名詞,一般,*,*,*,*,すもも,スモモ,スモモ
も      助詞,係助詞,*,*,*,*,も,モ,モ
もも    名詞,一般,*,*,*,*,もも,モモ,モモ
も      助詞,係助詞,*,*,*,*,も,モ,モ
もも    名詞,一般,*,*,*,*,もも,モモ,モモ
の      助詞,連体化,*,*,*,*,の,ノ,ノ
うち    名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ
EOS
すもも  名詞,一般,*,*,*,*,すもも,スモモ,スモモ
も      助詞,係助詞,*,*,*,*,も,モ,モ
もも    名詞,一般,*,*,*,*,もも,モモ,モモ
もも    名詞,一般,*,*,*,*,もも,モモ,モモ
も      助詞,係助詞,*,*,*,*,も,モ,モ
の      助詞,連体化,*,*,*,*,の,ノ,ノ
うち    名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ
EOSuse as packageuse function>>> import pyawabi
>>> import pprint
>>> pp = pprint.PrettyPrinter()
>>> pp.pprint(pyawabi.tokenize("すもももももももものうち"))
[('すもも', '名詞,一般,*,*,*,*,すもも,スモモ,スモモ'),
 ('も', '助詞,係助詞,*,*,*,*,も,モ,モ'),
 ('もも', '名詞,一般,*,*,*,*,もも,モモ,モモ'),
 ('も', '助詞,係助詞,*,*,*,*,も,モ,モ'),
 ('もも', '名詞,一般,*,*,*,*,もも,モモ,モモ'),
 ('の', '助詞,連体化,*,*,*,*,の,ノ,ノ'),
 ('うち', '名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ')]
>>> pp.pprint(pyawabi.tokenize_n_best("すもももももももものうち", 2))
[[('すもも', '名詞,一般,*,*,*,*,すもも,スモモ,スモモ'),
  ('も', '助詞,係助詞,*,*,*,*,も,モ,モ'),
  ('もも', '名詞,一般,*,*,*,*,もも,モモ,モモ'),
  ('も', '助詞,係助詞,*,*,*,*,も,モ,モ'),
  ('もも', '名詞,一般,*,*,*,*,もも,モモ,モモ'),
  ('の', '助詞,連体化,*,*,*,*,の,ノ,ノ'),
  ('うち', '名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ')],
 [('すもも', '名詞,一般,*,*,*,*,すもも,スモモ,スモモ'),
  ('も', '助詞,係助詞,*,*,*,*,も,モ,モ'),
  ('もも', '名詞,一般,*,*,*,*,もも,モモ,モモ'),
  ('もも', '名詞,一般,*,*,*,*,もも,モモ,モモ'),
  ('も', '助詞,係助詞,*,*,*,*,も,モ,モ'),
  ('の', '助詞,連体化,*,*,*,*,の,ノ,ノ'),
  ('うち', '名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ')]]
>>>use tokenizer object>>> tok = pyawabi.Tokenizer()
>>> pp.pprint(tok.tokenize("すもももももももものうち"))
[('すもも', '名詞,一般,*,*,*,*,すもも,スモモ,スモモ'),
 ('も', '助詞,係助詞,*,*,*,*,も,モ,モ'),
 ('もも', '名詞,一般,*,*,*,*,もも,モモ,モモ'),
 ('も', '助詞,係助詞,*,*,*,*,も,モ,モ'),
 ('もも', '名詞,一般,*,*,*,*,もも,モモ,モモ'),
 ('の', '助詞,連体化,*,*,*,*,の,ノ,ノ'),
 ('うち', '名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ')]
>>>
Package: pyawair
This project is offered under and Apache2 license and is not supported officialy by Awair.For more information, please visit the project home page.What’s Changed:0.0.1  Initial Posting to Pypi. Basic functionality and scaffolding. Lots of work to do.
0.0.2-6 Adding functions, tests,
0.0.7 - First release with class objects - caching provided by @danielsjf
0.0.8 - Refactoring and modification of class objects to optimize API usage
Package: pyawake
https://gitlab.cern.ch/AWAKE/pyawake
An open-source library that reads a large number of HDF files and builds a database.API for searching and loading multiple datasets, intelligently identifying dataset dependent parameters, visualize and analyze images to meet the requirements of scientists at AWAKE and port the existing analysis. This project is part of CERN-HSF GSoC project. Author : Aman Singh Thakur, Spencer J Gessner
Package: pyAWM
Functions usage in this module:users_manual() // to see how to use this moduleadd_driver_path(chrome_driver_path) //chrome_driver_path is absolute path to chromedriver.exescan_QR_Code() // to scan QR codeset_media_loading_time(secs) // to edit alloted upload time.(units of secs is seconds)send_whatsapp_msg([“contact_1”,”contact_2”],”hello”,1,16,0)//first parameter is list of contact or group names.
//second parameter is message that you want to send.
//third parameter is number of times you want to send message to each participant.
//fourth parameter is hour in 24 hr clock.
//fifth parameter is minutes.send_whatsapp_files([“contact_1”,”contact_2”,…],[“path_to_file_1”,”path_to_file_2”, …],16,0) //to send multiple documentssend_whatsapp_media([“contact_1”,”contact_2”, …],[“path_to_file_1”,”path_to_file_2”, …],”message you want to send for this photo or video”,16,0) //to send photo or video with a message
Package: pyawr
pyawr: Module for interfacing Python with the AWR Design EnvironmentAWR Design Enviroment Python interface module that supports code-completion using external IDEs.Installationpip install pyawrUpgradepip install --upgrade pyawrRequirementsPython >= 3.9pywin32 >= 220Usageimport pyawr.mwoffice as mwoffice
awrde = mwo.CMWOffice()History22.1.2AWRDE 22.1.2Changed the version name to follow Cadence naming conventions16.1.0AWRDE 16.01 release16.0.2Added version and CLSID options when calling CMWOffice()16.0.1Resolved variable names with double underscores
Package: pyawr-utils
Module for command simplification when using Python with the AWR Design EnvironmentAWR Design Environment Python module that wraps lower level API commands into higher level function callsInstallationpip install pyawr-utilsUpgradepip install --upgrade pyawr-utilsRequirementsPython >= 3.9pyawrnumpyUsageSee https://kb.awr.com/display/awrscripts/Pyawr+Utilities for detailsHistory1.0Release
Package: pyawsbuckets
Handle Amazon S3 interactionsObjects / files can be put into S3, retrieved from and deleted from S3. Also
signed URLs can be generated to allow limited-time access to a particular
object in an S3 bucket.Requires Python 2.7 or above.Available as Python package athttp://pypi.python.org/pypi/pyawsbuckets[ pip
install pyawsbuckets ]
Source athttps://github.com/mhenwood/pyawsbucketsUsageInitialiseInitiate the access object with your credentials:from pyawsbuckets import AwsInterface
aws_interface = AwsInterface(amazon_access_key, amazon_secret_key)PUT objectPut an object into an existing bucket at S3 (repeat: the bucket must ALREADY
exist):aws_interface.put(
    'https',
    'bucket999',
    'somefile.pdf',
    content)Put an object into an existing bucket at S3, activating server-side
encryption for that object:aws_interface.put(
    'https',
    'bucket999',
    'somefile.pdf',
    content,
    server_side_encryption=True)The put method also accepts an optional content_type keyword argument which
should be a standard internet media type (e.g. “image/jpeg”)GET objectRetrieve a given object from a given bucket:object_contents = aws_interface(
    'https',
    'bucket999',
    'somefile.pdf')DELETE objectDelete an object from S3:aws_interface.delete('bucket999', 'somefile.pdf')Expiring access URLGet a signed URL which gives access to a private object, but only for (e.g.) 15
minutes. This is useful if you wish for users to be able to download private
objects directly, but only for a brief window of time (to stop, for example,
link sharing):expiring_url = aws_interface.sign_object_request('https', 'bucket999', 'somefile.pdf', 15)Using HTTPSYou can specify ‘https’ as the protocol for putting/getting files and for
signing.However you should bear in mind that given the way wildcard certificates work,
the certificate presented by the S3 service will not match the requested
hostnameifyour bucket name contains dots (periods).This is because a certificate for “*.s3.amazon.com” will work nicely for
hostnames like “foo.s3.amazon.com” and “foo-example-com.s3.example.com” but
will NOT work for hostnames like “foo.bar.s3.amazon.com”. This is a feature of
wildcard certificates and their jurisdiction, not of S3 or this library.Because the bucket name gets translated into a hostname, this matters. It
matters because your request will fail.In short: avoid dots (periods) in bucket names if you plan to use https at all.Known LimitationsDoes not currently handle ‘307’ redirects from AWS - You will receive these for
the first few hours of a bucket’s lifetime, until AWS’s DNS changes have
propagated fully.
Package: pyawscli
Python CLI for AWSThis package can be used to get a CLI interface for interacting with AWS services.Instructions to installpip install pyawscliInstructions to use:python -m pyawscliReferenceshttps://dzone.com/articles/executable-package-pip-installhttps://python-packaging.readthedocs.io/en/latest/minimal.htmlPypi uploading instructions:sudo python -m pip install --upgrade pip setuptools wheel
sudo python -m pip install tqdm
sudo python -m pip install  --upgrade twineCreate wheel filepython setup.py bdist_wheelTest in Local machine:python -m pip install dist/<wheel name>Create .pypric file in home directory[distutils] 
index-servers=pypi
[pypi] 
repository = https://upload.pypi.org/legacy/ 
username =<username>Upload to pypi:python -m twine upload dist/*python setup.py register is depricated now no need to use itTODO/BUGFIXES:pip install on linux (version number error)avoid using python - m everytime to run the package (env/path variable)
Package: py-aws-client
py-aws-clientpy-aws-clientis a Python package that provides a high-level wrapper for the Boto3 AWS SDK, allowing for extended customization and ease of use. It simplifies the process of creating and interacting with various AWS API service clients by providing a simple and consistent interface. The package includes pre-configured clients for commonly used AWS services such as Auto Scaling, CloudWatch, DynamoDB, EC2, S3, and more. It also handles common AWS authentication mechanisms and can be used with either a default profile or a specified profile.InstallationYou can installpy-aws-clientusing pip:pip install py-aws-clientUsageHere's an example of how to usepy-aws-clientto interact with AWS services:frompy_aws_clientimportPyAwsClient# Create a new client with the default profileclient=PyAwsClient(region='us-east-1')# Create a new EC2 clientec2=client.ec2()# List all instancesinstances=ec2.describe_instances()forreservationininstances['Reservations']:forinstanceinreservation['Instances']:print(f"Instance ID:{instance['InstanceId']}, State:{instance['State']['Name']}")In this example, we create a newPyAwsClientinstance with the default profile and use it to create a newEC2client.
We then use thedescribe_instancesmethod to retrieve information about all EC2 instances in the region and print out their instance IDs and states.You can also use a named profile by passing theprofile_nameparameter to thePyAwsClientconstructor:# Create a new client with a named profileclient=PyAwsClient(region='us-east-1',profile_name='my-profile')LicenseThis package is licensed under the MIT License. See theLICENSEfile for details.ContributingIf you have suggestions for new features, bug fixes, or other improvements, please open an issue or pull request on GitHub.Acknowledgementspy-aws-clientis built using the Boto3 AWS SDK and would not be possible without the hard work of the Boto3 team and the AWS community. Thank you for your contributions!