Saravanan666/pypi-org huggingface dataset:
Package: generate-heatmap
GENERATE HEATMAPTo generate the heatmaps from the specific camera’s in a location.To Use Simply do::>>> generate_heatmap -i /Users/abc/heat_data/ew_grnd -p /Users/abc/heat_data/ewPickle -r EWGrndMorning -hl /Users/abc/heat_data/heatmaps/
        -v /Users/abc/heat_data/CCTV_Videos/ -b /Users/abc/heat_data/baseImages/ewGcL.png -pass “XXXXXX” -u http://xxxx.abc.com/xxxxxxx -hc 1234ADDITIONAL DEPENDENCIESCV2, you can install opencv for your specific platforms
either by using conda , miniconda or manually downloading and installing it.External installation links, usingcondaandwindows.DESCRIPTIONgenerate_heatmap is a command line program to generate heatmaps of the video you have in your local system.
Its a great way to understand how your space is being used by the community or Members.
It requires Python Interpreter, version 3.5+, and its not platform specific. It should work on Ubuntu, Windows or on MacOs.USAGE(-v or –vloc): Give the videos folder location, Download the videos and keep it in this folder.(-i or –imgloc): Create a images folder, where all images generated from the videos will be stored.(-p or –pickleloc): Create a pickle folder, pickle file will be stored to generate heatmap from it.(-r or –reqdata): Give name to your heatmap image, name of the output heatmap image.(-hl or –heatloc): Heatmap Folder, where final heatmap image will be stored.(-b or –baseurl): Keep the base image of the video in one place and pass it as, (This image will be a reference image for the downloaded videos.)Optional Parameters:-pass, password of the api for your authentication.-u , API EndPoint where heatmap image will be sent.-hc, heatcode to identify which req image is this.WORKING1.Goes through the videos folder, and generates the images from all the videos available in the folder, It can process multiple videos also in a folder for same camera view in a folder.2.Processing of the images is the next step, It processess all the images in a folder generated by cv2, compares all the images and generates the pickle file of the heatmap.3.Heatmap generation is the last step, by taking the pickle file generate the heatmap image.
Package: generate-iconset
generate-iconsetGenerating an iconset (.icns) for using as an application icon on Mac OS.The tool converts an original image into several sizes to form an iconset, which is then converted into.icnsfile withiconutiltool. More information in the followingarticle.Moved fromthis repositoryto become aPyPI package.RequirementsPython 3.7 or laterimage processing tool (either of)ImageMagick(recommended)sips(part of the standard Mac OS utilities)iconutiltool (part of the standard Mac OS utilities)UsageBelow examples assume that you installed the tool from PyPI to use it as a standalone executable. Otherwise you'll need to run it as a regular Python script.Built-in help:$generate-iconset--helpBasic example$generate-iconset/path/to/original/icon.pngwill fail to run if it's not Mac OSwill use ImageMagick for convertingwill not force conversion to.png, if original image is not.pngresulting.icnswill be saved to/path/to/original/icon.icns
Package: generate-invitation-codes
generate-invitation-codes🐔動機：為了讓全球試用生成試用碼，所以生成長度任意的數量的試用碼
💣地雷：一次就 gpt-4 成功，沒有地雷這是一個 Python 套件，可以用來生成全球試用的邀請碼。您可以通過命令行界面或將其導入到其他 Python 項目中使用。安裝使用以下命令安裝：python3-mpipinstallgenerate-invitation-codes命令行界面用法在命令行中，使用以下命令生成邀請碼：python3-mgenerate_invitation_codesyour_email@example.com--num10--length16以下是命令行參數說明：your_email@example.com：需要生成邀請碼的電子郵件地址。--num,-n：（可選）要生成的邀請碼數量（預設為 5）。--length,-l：（可選）生成的邀請碼的長度（預設為 16，必須是偶數）。套件用法在 Python 項目中，您可以將 generate-invitation-codes 套件導入並使用generate_invitation_codes函數：fromgenerate_invitation_codesimportgenerate_invitation_codescodes=generate_invitation_codes('your_email@example.com',num=10,code_length=16)以下是函數參數說明：email：需要生成邀請碼的電子郵件地址。num：（可選）要生成的邀請碼數量（預設為 5）。code_length：（可選）生成的邀請碼的長度（預設為 16，必須是偶數）。
Package: generate-json-schema
InstallationTo install the Json Schema Generator, use pip:pipinstallgenerate-json-schemaUsageTo use the Json Schema Generator, import the module and utilize the functiongenerate_json_schema:# Use the path of the directory already within your projectfromjson_schema_converter.generate_schemaimportgenerate_json_schemaschema=generate_json_schema("/pytests/schemas/teste.json")
Package: generate-licenses
licenses-generatorGenerate a file containing all (locally found) licenses from your project.AboutThis script is used in production @ Prisma to generate the required attributions
for ourlicense page.How?It walks the given directory and searches for license files, and after it's done,
it will write all of them to a new file, following the given template.CompatibilityAt this time, it's only been tested on JS project (the default folder isnode_modules), but it should be compatible with anything
that stores licenses locally.UsageRecomandedfromgenerate_licensesimportGenerator,Template# <- Or you can use DefaultTemplatetemplate=Template(wrapper_template='<div>\n$ctnt\n</div>',title_template='<h1>$ctnt</h1>\n',license_template='<pre>\n<code>\n$ctnt\n</code>\n</pre>')generator=Generator(template,<initial_dir>,<out_file>,<out_separator>)generator.write_licenses()CLI(Not recomanded)See help:generate_licenses.py -hHow does the Templating work?Let's start with the given example (from above) - That will generate the following:<div><h1>PACKAGE_NAME</h1><pre><code>LICENSE</code></pre></div>Basically you can write whatever you want, and put$ctntwhere you want the
actual "content" to be putContributing GuideIf you wish to contribute to generate_licenses please seeCONTRIBUTING.mdCode of ConductPlease respect our Code of Conduct. It can be foundhereAuthorsDavid Pescariu -prisma.ro.official@gmail.comLicenseCopyright 2021 Prisma

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 at

    http://www.apache.org/licenses/LICENSE-2.0

Unless 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.(C) Prisma 2021 - https://buyprisma.netlify.app/
Package: generate-md-links
# generate_MD_links##
generate_MD_links is a Python script that generates a Markdown file with links to all the files in a directory.> usage: x-generate-md-links [-h]
>                            output_file extension directory [directory …]
>
> Generate Markdown links for specified files.
>
> positional arguments:
>   output_file  Output Markdown file name
>   extension    File extension to search for (e.g., .pdf)
>   directory    Directories to search for files
>
> options:
>   -h, –help   show this help message and exit## memo for uploading to PyPI`powershell python setup.py sdist bdist_wheel python-mtwine upload--repositorypypi dist/* `### update`powershell rm-rdist python setup.py sdist bdist_wheel python-mtwine upload--repositorypypi dist/* `
Package: generate-nft
Generate_NFT : Create random mutations of a picture for NFT collectionsWhat is it?generate-nftis a Python package that creates multiple random mutations of a given picture without needing to feed separate layers of the image. Just provide one image and it can generate multiple variants of that image quickly.Version = 0.0.4Main FeaturesHere are just a few of the things that generate-nft does internally:Split the given image into mutliple color channels - RGB, RGBA etc..Mix and match these color channels randomly to create unique imagesCreates random background images to make it more uniqueenhance the color, contrast & brightness of the image randomlyDefine an experiment name - the output files will be stored with that name as prefixWhere to get itThe source code is currently hosted on GitHub at:https://github.com/Mcprasad/Generate_NFTBinary installers for the latest released version are available at thePython
Package Index (PyPI)#PyPIpipinstallgenerate-nftTo update the existing version of the package#pypipipinstall-Ugenerate-nftInstallation from sourcesFollow the steps given below to install the package from the sourceClone the github repohttps://github.com/Mcprasad/Generate_NFT.gitRun setup.pypython3setup.pysdistbdist_wheelHow to usefromGenerate_NFTimportgenerate_art
generate_art.generate("input_image_path","output_image_directory",number_of_mutations,output_width,output_height,experiment_name)An example is shown below:fromGenerate_NFTimportgenerate_art#Program will output with the given experiment name as the prefixexperiment_name="mountains"generate_art.generate("/documents/img.jpg","/documents/output/",50,1920,1920,experiment_name)LicenseMIT LicenseFuture IdeasAbility to combine traits from multiple imagesExtract objects from an image and superimpose thoseGenerate meta data for each image in ERC721 standardAbility to launch the collections into a preferred blockchain; create and register contract, link metamask wallet and IPFS
Package: generatepass
#generatepassThis is password generator::Hizart.soft H._T@2022UsageGenerate a Password:frompassword_generatorimportgenerate_passpassword=generate_pass()print("Generated Password:",password)Check Password Strength:frompassword_generatorimportcheck_pass,get_user_passworduser_password=get_user_password()strength_result=check_pass(user_password)print(strength_result)Encrypt and Decrypt Password:frompassword_generatorimportuse_encrypt_pass,use_decrypt_pass,get_user_passworduser_password=get_user_password()# Encrypt passwordencrypted_password=use_encrypt_pass(user_password)print("Encrypted Password:",encrypted_password)# Decrypt passworddecrypted_password=use_decrypt_pass(encrypted_password)print("Decrypted Password:",decrypted_password)Customize Password Length:frompassword_generatorimportgenerate_passcustom_length_password=generate_pass(length=16)print("Custom Length Password:",custom_length_password)Check Password Strength and Generatefrompassword_generatorimportcheck_pass,generate_passpassword=generate_pass()print("Generated Password:",password)strength_result=check_pass(password)print(strength_result)
Package: generate-random-useragent
ua-generatorA random user-agent generator for Python >= 3.6FeaturesNo external user-agent list. No downloads.Templates are hardcoded into the code.Platform and browser versions are based on real releases.Client hints (Sec-CH-UA fields).Installingpip3install-Uyan-random-useragentBasic usageimportgenerate_random_uaua=generate_random_ua()print(ua)# Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_3) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/15.2 Safari/604.1.38AuthorJasson Nguyen (admin@taocuaba.com)
Package: generate-random-values-in-range
Generate numbers in a certain range / Get True/False  according to a certain percentage$pipinstallgenerate-random-values-in-rangefromgenerate_random_values_in_rangeimportrandomize_number,get_true_false_percentfor_inrange(200):randval=randomize_number(value=620,percent=20,percentage_substract_vs_add=70,minimum_to_allow=580,maximum_to_allow=700,)if_%20==0:print("")print(randval,end=" ")694666643580614619700700580653700580583603646700580609580580580580580700580700697580700614580649580610600582580580587580605580580595602620584592700700698580580609580622644580580580590580652591666607580610580580580594615580594580612679607580639700621665587622585580599580580600580580700700580580599580610580596580696580661589589618612580580580635634580580606580581580612580580580602580580700580580580580700580580580691609580580648580580580605580580580700699615580643700580595700580697580580630580580585582580593619580596688580581700580580580627580580580584598580610580583590700580675580684580590580700for_inrange(100):randval=get_true_false_percent(percent_true=80)if_%20==0:print("")ifrandvalisTrue:print(randval,end="  ")else:print(randval,end=" ")TrueFalseTrueTrueTrueFalseTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueFalseTrueTrueFalseTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueFalseTrueTrueFalseTrueTrueTrueTrueTrueTrueTrueTrueFalseTrueTrueFalseTrueTrueTrueTrueTrueTrueFalseFalseTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueFalseTrueTrueFalseTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueFalseTrueTrueTrueFalseTrueTrue
Package: generate-readme
generate_ReadmeThe readme_generator is a command-line interface (CLI) tool written in Python that generates a README.md file for your project. It automatically creates a well-formatted and structured README.md file based on the information you provide about your project.DependenciesMarkdown
argparseUsagereadme_generator.py [-h] --project-name PROJECT_NAME --description DESCRIPTION
--installation INSTALLATION --usage USAGE --contribution
CONTRIBUTION --contact CONTACTall arguments are required: --project-name, --description, --installation, --usage, --contribution, --contactSupportkindly consider starring the projectScreenshot
Package: generate-report
介绍一款用于自动生成测试报告的工具注意事项：需安装谷歌浏览器chrome_driver.py
用于检查是否安装谷歌浏览器驱动及驱动版本是否兼容，若无驱动或驱动版本不兼容，则自动下载db_connect.py 存放操作数据库的方法get_db.py 用于连接数据库config.yml 存放数据库配置文件project_data.yml 存放数据文件template.docx 测试报告的模板report_res：运行时自动生成，用于存放生成的结果图片test_report.py：主文件引用的脚本文件run.py 主文件，执行的入口使用说明运行run.py文件，生成的测试报告默认保存在D:/中，可在运行时指定存放路径。例：from generate_report import run   # 引包

run.run()   # 运行run.py文件中的run函数


请输入项目名称：
请输入撰写人：
请输入预估di值，若无预估di值，请输入数字0：
请指定报告生成的路径，若不指定，请按回车键（注意：在输入路径时，请不要使用反斜杠）：版本规范保持和python版本命名一致，格式：x.x.x大版本：1.x.x 第一位变化小版本：x.1.x 第二位变化bug修复版本：x.x.1 最后一位变化
Package: generates
Generates is a micro library providinggeneratesdecorator.Thegeneratesdecorator can be used to easily create a function that
returns a container like list or dict, but using generator syntax in the
function body.  For example:@generates(list)
def get_numbers(n):
    for i in range(n):
        yield i

assert get_numbers(5) == [0, 1, 2, 3, 4]

@generates(dict)
def get_map():
    yield ('key1', 'value1')
    yield ('key2', 'value2')

assert get_map() == {'key1': 'value1', 'key2': 'value2'}
Package: generate-ssm-parameters
ssm-parameter-generatorThis script generates SSM parameters in an AWS account based on the contents of a CSV file.
The CSV file should have the following headers:Name (string)Type ("String" | "StringList" | "SecureString")Value (string)Description (string)UsageTo run the script:generate-ssm-parameters CSV-FILE-NAME --profile AWS-PROFILE --region AWS-REGIONThe script supports the following options:profile: specifies the aws profile to use while running the script. Defaults to "default". If no default profile is found, it will try to use the AWS environment variables.region: specifies the aws region to use while running the script. Defaults to "us-east-1". # generate-ssm-parameters
Package: generate-systemd-timer
Systemd generator for timer unitsGenerates systemd.timerand.serviceunits to more easily add cron-like tasks to your system.You'll still have to copy them into the right place (either/etc/systemd/systemor$HOME/.config/systemd/user) and reload systemd usingsystemctl daemon-reload.Usagegenerate-systemd-timerunit-name# Now two editors will pop up to allow you to customize# Afterwards you'll find unit-name.service and unit-name.timer in the current folder.
Package: generate-tiff-offsets
A cli tool for generating IFD offsets within a tiff file, useful for optimizing load times of remote tiff files in viewers likeviv.  Anoffsets.jsonfile is written out adjacent to the input file in the folder from which the original file comes.  This is exactly what a tool likeAvivatorexpects for viewing remote data.pip install generate-tiff-offsets
generate_tiff_offsets --input_file my_file.ome.tiff
Package: generate-tools
✨ 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙚 𝙏𝙤𝙤𝙡𝙨 ✨Installationpip install -U generate-tools========×========Updates & SupportFollow Channel@AyiinChannelfor info Update and Join To Group@AyiinChatfor discussion, bug reporting, and help with Generate Tools.© CreditsAyiinXdLicenseGenerate Tools is licensed underGNU Affero General Public Licensev3 or later.========×========
Package: generate-wiki
The Sample Programs Wiki GeneratorCurrently, the Sample Programs Wiki Generator repo houses thegenerate-wiki.pyscript which
we use in the Sample Programs repository to generate our wiki documentation. The script
is automated by a Travis CI build in the Sample Programs repo.If you would like to propose a change, feel free to leverage the issues tab or make a pull request.How It WorksThegenerate_wiki.pyscript works by analyzing the information in the Sample Programs
repository and storing that information in objects. These objects are then used to
generate various wiki pages in Markdown.What is AutomatedCurrently, the script generates 27 pages: 1 alphabet catalog and 26 alphabet pages.The alphabet catalog contains a table with links to each alphabet page as well as meta data like the number
of scripts and languages per letter. In addition, the alphabet catalog contains the total number of scripts
and languages for the entire repo.Each alphabet page contains a table which lists each language for that particular letter as well as meta data
like the number of scripts per language and links to articles and issues.How to RunAt this time, the wiki generator is hardcoded for the Sample Programs repo. In order to run it,
you can install it as a package usingpip:pip install generate_wikiAfter that, you'll need a copy of the Sample Programs repo:git clone https://github.com/TheRenegadeCoder/sample-programs.gitFinally, you can build the wiki using the following command:wikig /path/to/sample-programs/repo/archiveAlternatively, you can clone this repo to run thegenerate_wiki.pyscript directly:python generate-wiki.py /path/to/sample-programs/repo/archiveBoth solutions are designed to handle repo exploration from the/archive/directory. If successful, you should
begin to see print statements for the various links under test for The Renegade Coder. When finished, you'll
have a/wiki/directory next to your script which contains the wiki.At this point, you can push the wiki directly to the Sample Programs wiki.
Package: generations
generationsA set of recursive population models for ecologists including:Nicholson Bailey host-parasitoid modelWeed-herbivore coupled model for an annual plant that forms a seed bank fromBuckley et al. 2005Weed-herbivore model for a biennial plant that forms a seed bankInstallationGenerations is available from thePython Package Index. It can be installed usingpip:pip install generationsRunningOnce installed, the user can run the various models ingenerationsby entering the following commands. Python's-mflag imports and runs the specified module. Each population model ingenerationsis in it's own module:python -m generations.nicholson_bailey

python -m generations.buckley

python -m generations.biennialVisualizationGenerations requires theBokehPython package to generate interactive plots of the simulation outputs in the browser. This functionality is attached to each modeling module. When the module runs, it automatically generates a .csv of the population densities for each organism at each time step Bokeh uses that .csv to automatically generate an html page with an interactive plot of the results in the user's browser.Custom parametersThe user can also create a copy of the default configuration file for the population model modules in their working directory. The file will be namedmodel_parameters.cfg.python -m generations.create_configThe user can then edit parameters to fit their desired ecological system. Model parameters will be loaded from the working directory into the population models at runtime.DevelopmentGenerations source code is available onGitHub.git clone https://github.com/alfalimajuliett/generations.gitTesting./test.shThis will run the unit tests. If you havepipenv, it will also run a number of other checks:yapf: reformat the code automaticallymypy: check for runtime errors like misnamed imports or variables, or incompatible typestox: run the unit tests against Python 2.7 and 3.7coverage: report on lines that are not covered by unit testsUploading to PyPIInstallpipenvif you don't have it.Increment the version insetup.py.Run the tests one last time:./test.shBuild the distribution files:pipenv run python3 setup.py sdist bdist_wheelUpload usingtwine. It will prompt for your PyPI password:pipenv run twine upload dist/*Commit the version, create a tag, and push tags:git commit -am "$version"
git tag $version
git push --tags
git push
Package: generativepy
generativepyGenerative art and graphing library for creating images and animations.Version 23.11 notes3D drawing is likely to change in a future release. The rest of the library is reasonably stable.Switched to date based versioningAdd parametric plots to the graph moduleAllow The Turtle class to accept a list of colours, and cycle through the list as the turtle draws a path.Update geometry.Transform class to use generativepy matrix order rather than PyCairo matrix order.Add unit matrix to math moduleUsagegenerativepy is a library rather an application. It provides useful functions and example code that allow you to
create images and videos by writing simple Python scripts.The library requires:pycairo.NumPy.Pillow.easy_vector.moderngl (only required for 3D imaging).MoviePyCommand line application gifsicle (only needed for GIF creation).Commandline applications latex and divpngMain functionality:A simple framework for creating images, image sequences, and gifs, using pycairo.Support for bitmap processing using PIL and NumPy.Colour module that supports RGB, HSL and CSS colours, transparency, lerping, colormaps.A simple tweening module to help with animation.Geometry module for drawing shapes.A graphing library for plotting 2D functions.MovieBuilder supports creating video files from separate scenes.Latex formula rendering3D geometry module using moderngl.Math modules for vectors, matrices and abstract shapes.WebsiteVisitpythoninformer.comfor details:generativepy reference.generativepy tutorials.There are also some art examples in the Generative Art section ofmy blog.For detailed information of pycairo see theComputer graphics in Pythonebook.
Package: generator3
generator3generator3 is a Python package to export Scratch sprite scripts to the well known scratchblocks syntax.Installation$python3-mpipinstallgenerator3or manually (not recommended):$gitclonehttps://github.com/themysticsavages/generator3
$cdgenerator3
$python3setup.pyinstallUsageimportgenerator3# Converts to scratchblocks and puts each sprites' scripts in a HTML filegenerator3.Generator(pid).toBlocks()# Serve the generated HTMLgenerator3.serveHTML()This is still in progress so not every block will be rendered!Made with ❤️ by themysticsavages
Package: generatorepiva
generatore-pivaUn semplice generatore di PIVAQuesto pacchetto permette di generare delle Partite IVA casuali ma formalmente valide.
L'obbiettivo di questo strumento è aiutare gli sviluppatori nel testing dei loro applicativi.Non mi assumo alcuna responsabilià di un utilizzo improprio di questo strumento.InstallazionePuoi installare questo pacchetto dalPyPI:python -m pip install generatorepivaEsempio d'usofrom generatorepiva import GeneratorePiva


def main():
    generatore_piva = GeneratorePiva()

    # Genera 100 PIVA
    for _ in range(100):
        piva = generatore_piva.genera()
        print(f'PIVA: {piva}')


if __name__ == '__main__':
    main()