Saravanan666/pypi-org huggingface dataset:
Package: random-string-detector
random_string_detectorThis package helps you identify random strings within text data by analyzing the frequency of bigrams (two-letter combinations). It leverages the fact that certain bigrams are more common in natural language than others. By comparing the bigram frequencies in your text data to those in a reference language corpus, you can spot strings of characters that deviate from typical language patterns.SeeExplanationfor more information.FeaturesDetect random strings of English and other languages.Specify thresholds to control the sensitivity of the detection.Supported Languages:English and Portuguese.Do you want to add support for another language? Open an issue or a pull request.Seecontributing sectionfor more information.InstallationYou can install the package using pip:pipinstallrandom-string-detectorUsagefromrandom_string_detectorimportRandomStringDetectordetector=RandomStringDetector()detector("Hello World")# Falsedetector("aowkaoskaos")# Truedetector("aoekaoekaoe")# TrueExplanationUsing the fact that the expected number of 2-letter combinations in English is 676, and this includes combinations with identical letters and combinations with distinct letters, it is possible to use low-frequency bigrams in order to detect random strings of English letters.As perPeter Norvig analysis, the most frequent bigram in English language is "th". On the other side, "zx" is not so common. By comparing the frequency of different bigrams in your text data to those in the English language corpus, you can identify strings of characters that do not fit typical language patterns.This package contains a class namedRandomStringDetector()and language-specific bigram frequency dictionaries that can be combined to detect random strings in English and other languages. The threshold value (between 0 and 100) can be used to control the sensitivity of the detection. Higher values represent more frequent bigrams (like "th") and lower values represent less frequent bigrams (like "zx").Only words with length greater than 4 are considered.ContributingWe happily accept any contributions and feedback. 😊Adding support for a new languageTo add support for a new language, you need to follow these steps:Find a large text corpus in the language you want to add support for.Compute the bigram frequencies for the corpus (see/notebooks/portuguese.ipynbfor an example).Add the bigram frequencies to/random_string_detector/bigrams/.py.Import the bigram frequencies in/random_string_detector/bigrams/init.py.Note:The bigram frequencies should be a dictionary with the bigram as the key and the normalized frequency as the value. The bigram should be a string with the two letters concatenated. The normalized frequency should be a float between 0 and 100.If you have any questions, issues, or suggestions, please feel free to contact us.LicenseThis package is distributed under the MIT license.SeeLICENSEfor more information.
Package: random-strings
random-stringsGenerate strings that are ✨ random ✨how to install$pipinstallrandom-stringshow to use>>>fromrandom_stringsimportrandom_string>>>random_string(5)'YSuz5'advanced usagefromrandom_stringsimportrandom_hex,random_stringpassword=random_string(16)SECRET_KEY=random_string(64)# hexadecimal charactersSECURE_TOKEN=random_hex(128)# no uppercase lettersverification_code=random_string(12,upper=False)# only uppercase lettersverification_code=random_string(12,lower=False,digit=False)# custom characterscharacters='23456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz'verification_code=random_string(12,character_string=characters)more examples>>>fromrandom_stringsimport*>>>random_hex(16)'ec583ef0aaa226cba9cb07e3dc2e623c'>>>random_uuid()'85273146-3ad8-489f-9964-e7af16ab6a26'>>>random_uuid(dashes=False)'a33ee36ad08242e4a2a819147f084a51'more detailsGenerated strings are suitable for cryptographically secure usecaseSeeos.urandom,random.SystemRandomand PEP 506 for more details on how it works.also, this package is namedrandom-strings.
There are other packages on pypi with similar names but they don't do the same thing.
Package: randomstuff.py
randomstuff.pyAn easy to use, feature rich, highly customisable and async pythonic API wrapper for the Random Stuff API.FeaturesEasy-to-use & OrganizedDesigned to be as optimized as possibleImplements the entire API including all supported versionsSupports both async and syncSupports all type of API plansAll classes are welldocumentedActively maintained, Remains up-to-date with all updates.InstallationInstallation can be done easily using the python package managerpippipinstallrandomstuff.pyQuickstartFirstly make sure toget the API key from hereHere are few examples to get you started.Getting AI responseimportrandomstuffwithrandomstuff.Client(api_key='api-key-here')asclient:response=client.get_ai_response("Hi there")print(response.message)Getting random jokeimportrandomstuffwithrandomstuff.Client(api_key='api-key-here')asclient:joke=client.get_joke(type="any")print(response.joke)Getting random imageimportrandomstuffwithrandomstuff.Client(api_key='api-key-here')asclient:image=client.get_image(type="any")print(response)Getting weatherimportrandomstuffwithrandomstuff.Client(api_key='api-key-here')asclient:weather=client.get_weather("new york")# print(weather) # Uncomment to see full object.print("Current weather in{}is{}degree centigrade".format(weather.location.name,weather.current.temperature))Async SupportThis library also supports async usage.importrandomstuffimportasyncioasyncdefcoro():asyncwithrandomstuff.AsyncClient(api_key="api-key-here")asclient:response=awaitclient.get_ai_response("Hello world")print(response.message)loop=asyncio.get_event_loop()loop.run_until_complete(coro())ContributionThis library is powered by community contributions. Feel free to open a pull request to contribute.
Package: random-survival-forest
Random Survival ForestThe Random Survival Forest package provides a python implementation of the survival prediction method originally published by Ishwaran et al. (2008).Reference:
Ishwaran, H., Kogalur, U. B., Blackstone, E. H., & Lauer, M. S. (2008).
Random survival forests.
The annals of applied statistics, 2(3), 841-860.Installation$pipinstallrandom-survival-forestContributeSource Code:https://github.com/julianspaeth/random-survival-forestGetting Startedfromrandom_survival_forest.modelsimportRandomSurvivalForestfromrandom_survival_forest.scoringimportconcordance_indexfromlifelinesimportdatasetsfromsklearn.model_selectionimporttrain_test_splitrossi=datasets.load_rossi()# Attention: duration column must be index 0, event column index 1 in yy=rossi.loc[:,["week","arrest"]]X=rossi.drop(["arrest","week"],axis=1)X,X_test,y,y_test=train_test_split(X,y,test_size=0.25)rsf=RandomSurvivalForest(n_estimators=20,n_jobs=-1)rsf=rsf.fit(X,y)y_pred=rsf.predict(X_test)c_val=concordance_index(y_time=y_test["week"],y_pred=y_pred,y_event=y_test["arrest"])print("C-index",round(c_val,3))FeedbackIf you are having issues or feedback, please let me know. I am happy to fix some bug or implement feature requests.julian.alexander.spaeth@uni-hamburg..deThis package is completely open-source. If it helped you or you even use it comercially, I would be happy about a little support:LicenseMIT
Package: random-tables
RandomTableslittle module that helps to create tables for a specified schema with random contentHow to useTo create a random table you can specify a schema upfront and then call the classfrom randomtables import DataSetGenerator

# define schema
schema = [
    {"type": float}, 
    {"type": int},
    {"type": str, "split": False},
    {"type": str, "split": True, "names": True}
]

# initialize the schema
dfg = DataSetGenerator()

# generate a pandas dataframe
data = dfg.generate(
    schema = schema,
)
Package: random-text-generator
About this repositorySimple Code GeneratorDescriptionGenerate string codes for django or flask or any web development python framework or any python project generallyUse this script as an extension of your project whenever you want to generate random codes.UsageFollow the following: !They are very important1. call the function generate()

2. pass in the arguments, they are: [
        'length_minimal', 'length_maximal', 'int_min_length',
        'int_max_length'
    ], they are optional and the default values will be given to them. So the
        output will be like

   generate_code_simple(length_minimal=int, length_maximal=int,
                        int_min_length=int, int_max_length=int).

3. then leave the rest to the packge to generate the type of code for you

4. then make a variable like the example
   `code = generate_code_simple()` | don't add the the symbol `|` just write the
   what is inside the variables backticks.

5. then at runtime the generated code will be runThis written in python codeObviously use the statementfrom text_generator import generatefor the 1st lineCode without parameterscode=generate()print(f"Generated code is ->{code}")>>> Generated code is -> 552405550765069469025

The result is not fixed it changes at the next runtimeCode with parameterscode=generate(length_minimal=10,length_maximal=50,int_min_length=1,int_max_length=99999)print(f"Generated code is ->{code}")>>> Generated code is -> 6051772282112626082611874181

? Don't rely on this code is not yet fully tested and results may differ.
Working on itConfigurationTo configure the project all you need to do is pass inparamsto thegenerate()functionChangelogCHANGELOGAuthorsAUTHORSContributingCONTRIBUTINGFolder Structure StructureDIR  +----------------------|> dist
DIR  +----------------------|> tests
DIR  +----------------------|> text_generator
FILE  +----------------------|> __init.py__
FILE  +----------------------|> .gitignore
FILE  +----------------------|> LICENSE
FILE  +----------------------|> README.md
FILE  +----------------------|> setup.py
Package: random-timestamp
random_timestampA Random Timestamp GeneratorInstallationDependences* This app onlyInstallation*Installation with pip (recommended)*

    *Pip will download and install the package and take care of all the dependences.
    If you havn't pip on your system then install setuptools first after that run "easy_install pip".
    After that you can use pip in your terminal window.*

    * Use the stable release (recommended)::

        pip install random_timestamp

    * With pip you can also uninstall::

        pip uninstall random_timestampUsageThe functionrandom_timestamptakesfouroptional arguments:random_timestamp(year=1900, month=1, day=1, part='DATE/TIME')Ifyearandmonthanddayare not inputed, the timestamp will be randomly generated between1900and today's date (datetime.now().date())).If a later date after today is inputed, the output date will be today's date as well.
The optionalpartparameter is to select only thedateortimeportion of the timestamp to output.>>> from random_timestamp import random_timestamp

>>> random_timestamp()
datetime.datetime(1986, 5, 31, 2, 50, 5)

>>> random_timestamp(2020)
datetime.datetime(2020, 2, 11, 12, 4, 51)

>>> random_timestamp(month=1)
datetime.datetime(1914, 1, 15, 22, 3, 58)

>>> random_timestamp(2020, 4, 16, 'DATE')
datetime.date(2020, 4, 16)

>>> random_timestamp(part='TIME')
datetime.time(10, 59, 6)LicenseThis project is released underGNU GENERAL PUBLIC LICENSE V3.
Package: random-tool
random_encrypt基于openssl加密仅使用了 AES-128-CBC根据时间戳所在的时间区间，时区信息计算加密的key，iv为每个key设置有效时间(默认5秒，冗余2秒)，在不同的时间区间（左包右闭），相同文本加密后的字符串不同默认时区为东八区，加密端和解密端通过统一时区对齐时间，避免不同时区，同时间段，加密后的密文不同，导致无法解密在使用时，必须自定义盐值，不能为空。ifself._salt=="":raiseException('the salt can not be empty.')Encrypt函数返回 (加密后字符串,key,iv,加密时使用的时间戳) 供解密失败后备查。Installpipinstallrandom_tool示例代码：fromrandom_encryptimportRandomEncryptif__name__=='__main__':e=RandomEncrypt({"salt":"salt"})s=e.encrypt("hello world")print(s)t=e.decrypt(s[0])print(t)
Package: random-tools
Random Toolsrandom_tools.Signalfromrandom_toolsimportSignalon_event=Signal()on_event.connect(print)on_event.emit("this will be printed")random_tools.true_everyfromrandom_toolsimporttrue_everythis_true_every_3_calls=true_every(3)# will return True every 3 callsfalse_1=next(this_true_every_3_calls)# Falsefalse_2=next(this_true_every_3_calls)# Falsetrue_1=next(this_true_every_3_calls)# Truefalse_3=next(this_true_every_3_calls)# Falsefalse_4=next(this_true_every_3_calls)# Falsetrue_2=next(this_true_every_3_calls)# Truerandom_tools.CSS4_ColorPickerA tool for sampling CSS4 compatible color namesfromrandom_toolsimportCSS4_ColorPickercolor_picker=CSS4_ColorPicker()colors=set()foriinrange(nb_color):color=color_picker.sample_color()assertcolornotincolorscolors.add(color)# The picker reset automatiquely when all color have been sampled#  but you can reset it manually toocolor_picker.reset()
Package: random-tunnel
random-tunnel一款可以使用随机代理地址访问目标服务的turbo-tunnel插件安装方法$pip3installrandom-tunnel使用方法$turbo-tunnel-lhttp+random://127.0.0.1:9999/?provider=${provider_url}-prandom_tunnel这样会在本地创建一个HTTPS代理服务器，客户端通过该代理服务器访问目标服务时，会随机使用${provider_url}指定的代理服务器列表中的某一个代理。支持的provider类型http/https该url必须按照以下格式返回application/json类型的包体：{"results":[{"ip":"1.2.3.4","port":8080,"type":"https"},{"ip":"2.2.2.2","port":8888,"type":"https"}]}同时，该url需要支持limit查询参数用于指定查询的条数。file本地文件方式，如：file:///data/proxies.txt。该文件需要将代理服务器以每行一个的形式存放，格式为：http://1.2.3.4:8080。
Package: random-unicode-emoji
random-unicode-emojiA simple Python package that returns random Unicode emojis. 🐍Like this repo? Give it astar on GitHub!InstallInstall the package:pipinstallrandom-unicode-emojiNo dependencies!UsageUse the package:# Import the Libraryfromrandom_unicode_emojiimportrandom_emoji# Use the Functionprint(random_emoji())# Return Specific Countprint(random_emoji(count=3))# Use Specific Versionprint(random_emoji(version="15.0"))# Append Custom Emojiprint(random_emoji(custom=['(° ͜ʖ ͡°)','(╯°□°)╯︵ ┻━┻']))# All Together Nowprint(random_emoji(3,15,['(° ͜ʖ ͡°)','(╯°□°)╯︵ ┻━┻']))UpgradeUpgrade the package to the latest version:pipinstallrandom-unicode-emoji-UUnicodeUses Unicode Standard Emoji fromUnicode.orgSupported Unicode Versions4.0, 5.0, 11.0, 12.0, 12.1, 13.0, 13.1, 14.0, 15.0 (latest)Uses latest version by default.LanguageThis is the Python 🐍 version. There is also aJavaScript 📜andRust ⚙️version.MaintainerNic Jones, (NicPWNs)CreditOriginally Inspired byrandomEmoji.py
Package: randomuser
Python class for generating random user data usingrandomuser.meAPI.Basic UsagefromrandomuserimportRandomUser# Generate a single useruser=RandomUser()# Generate a list of 10 random usersuser_list=RandomUser.generate_users(10)BothRandomUser()andRandomUser.generate_users()can optionally
accept a dictionary of parameter names to desired values using theget_paramsoptional parameter:# Generate a random female useruser=RandomUser({'gender':'female'})# Generate a list of 10 random users from Canadauser_list=RandomUser.generate_users(10,{'nat':'ca'})For more information on what parameters can be specified, see therandomuser.me documentation.Method OverviewFor details on the RandomUser class and optional parameters for these
methods, see thedocumentation.Getter Methodsget_cell()get_city()get_dob()get_email()get_first_name()get_full_name()get_gender()get_id()get_id_number()get_id_type()get_info()get_last_name()get_login_md5()get_login_salt()get_login_sha1()get_login_sha256()get_nat()get_password()get_phone()get_picture()get_postcode()get_registered()get_state()get_street()get_username()get_zipcode()
Package: random-user-agent
Random User AgentsRandom User Agents is a python library that provides list of user agents,
from a collection of more than 326,000+ user agents, based on filters.Some of the filter names which can be passed toUserAgent()are listed below:operating_systems : [
    UNIX, LINUX, WINDOWS, MAC, ...
]

hardware_types : [
    MOBILE, COMPUTER, SERVER, ...
]

software_types : [
    WEB_BROWSER, BOT__CRAWLER, BOT__ANALYSER, ...
]

software_names : [
   EDGE, CHROME, CHROMIUM, ANDROID, FIREFOX, OPERA, ...
]

software_engines : [
   BLINK, GECKO, WEBKIT, ...
]

popularity : [
    POPULAR, COMMON, AVERAGE, ....
]All filters are available in random_user_agent.paramsInstallationYou can install random_useragent by running the following command:pip install random_user_agentOr you can download direct fromGithuband install it manually.UsageTo get 100 user agents of browserchromebased on operating systemswindowsorlinuxfromrandom_user_agent.user_agentimportUserAgentfromrandom_user_agent.paramsimportSoftwareName,OperatingSystem# you can also import SoftwareEngine, HardwareType, SoftwareType, Popularity from random_user_agent.params# you can also set number of user agents required by providing `limit` as parametersoftware_names=[SoftwareName.CHROME.value]operating_systems=[OperatingSystem.WINDOWS.value,OperatingSystem.LINUX.value]user_agent_rotator=UserAgent(software_names=software_names,operating_systems=operating_systems,limit=100)# Get list of user agents.user_agents=user_agent_rotator.get_user_agents()# Get Random User Agent String.user_agent=user_agent_rotator.get_random_user_agent()LicenseThe MIT License (MIT). Please seeLicense Filefor more information.User Agents Sourcespecial thanks towhatismybrowserfor providing real user agents.
Package: random-user-generation
Class for usehttps://randomuser.me/Installpipinstallrandom-user-generationExamplefromgenerationimportRandomUserGenerationuser=RandomUserGeneration()printuser.get_location()printuser.get_city()printuser.get_state()printuser.get_first_name()printuser.get_last_name()printuser.get_postcode()printuser.get_phone()printuser.get_mail()printuser.get_username()printuser.get_gender()
Package: random-username
Random Username GeneratorA package to randomly generate compelling usernames in the format<adjective><noun><number>.InstallationYou can install the Random Username Generator fromPyPI:pip install random-usernameThis package is supported on Python 2.7, as well as Python 3.5 and above.How to useThis is a command-line application to generate usernames. To use, simply call:$ random_username -h
usage: random_username [-h] [num_results]

Generate Compelling Usernames.

positional arguments:
num_results  Number of results to return

optional arguments:
-h, --help   show this help message and exitTo generate usernames, call the program like so (not specifying a number will default to 1):$ random_username 10
vengefulSausage3
pacifiedIcecream7
amazedOtter4
lovesickSardines2
grizzledChowder1
grumpyRat1
troubledCod7
dopeyPiglet7
dreadfulOtter4
giddyOil7You can also call the Random Username Generator from your own python code by importing fromrandom_username.generate>>> from random_username.generate import generate_username
>>> generate_username(5)
['insecureJaguar0', 'spiritedMuesli8', 'cautiousSmelt2', 'mereVenison4', 'offendedPie6']
Package: randomvalue
randomvalueHow to usefirst. install this package.pip install randomvaluesecond. use this package.fromrandomvalueimport*random_string(length=10,string=3)# if string == 1: Create a random string using only lowercase letters.# if string == 2: Create a random string using only uppercase letters.# if string == 3: Create a random string using both upper and lower case letters.random_number(length=5)random_strnum(length=6)
Package: random-variable
## What?Implements the standard math syntax for expectation values of random variables on finite sets## How?This is best explained with an example:```# import the objectsfrom random_variable import RandomVariable, E# define a universe for example the possible outcomes of a dicedice = [1, 2, 3, 4, 5, 6]# define one random variableX = RandomVariable(dice)# compute and print expectation valuesprint('mean:', E[X])print('one minus mean:', E[1-X])print('twice the mean:', E[X*2])print('variance:', E[(X-E[X])**2])print('variance again:', E[X**2]-E[X]**2)print('standard deviation:', (E[X**2]-E[X]**2)**0.5)print('skewness:', E[(X-E[X])**3]/E[(X-E[X])**2]**1.5)print('kurtosis:', E[(X-E[X])**4]/E[(X-E[X])**2]**2)print('some other complex expectation value:', E[sin(2*X)*cos(X+1)])```(works in both python 2 and python 3)## LicenseBSD v3 - Created by Prof. Massimo Di Pierro (DePaul Universty) 2018
Package: random-walk-controversy
Random Walk ControversyThis repo contains a parallel implementation of Kiran Garimella's algorithm to compute the random walk controversy
score of a graph.LetG(V,E)be a graph with two partitionsXandY; in the paper"Quantifying Controversy on Social Media"Garimella et al. define the
Random Walk Controversy (RWC) measure as follows:"Consider two random walks, one ending in partition X and one ending
in partition Y , RWC is the difference of the probabilities of two events: (i) both random walks started from the
partition they ended in and (ii) both random walks started in a partition other than the one they ended in.”.The measure is quantified as $RWC = P_{XX}P_{YY} - P_{YX}P_{XY}$ where $P_{AB}$ is the conditional
probability $P_{AB} = Pr[\mbox{start in partition }A \mid \mbox{end in partition }B]$.Since the probabilities are computed by making simulations consisting in random walks and the simulations are independent
of each other, they can easily be done in parallel.The following table shows the performance and results comparison made between the (sequential)implementationprovided by one of the original authors and this
implementation. The datasets can be found in the same repo as the original authors' implementation.DatasetSeq. time (s)Seq. RWC scorePar. time (s)Par. RWC scoreSpeedupbaltimore6180.869710.8728.70beefban1280.873190.8826.73gunsense22320.8512210.85310.10indiana2290.720370.7276.19indiasdaughter4900.825620.8327.90Beside the evident speedup obtained by exploiting a multicore architecture, we can see that the sequential and parallel
versions almost converge to the same results.InstallationTo install the latest version of the library just download (or clone) the current project, open a terminal and run the
following commands:pip install -r requirements.txt
pip install .Alternatively use pippip install random-walk-controversyUsageCommand line interfacepython3 -m random_walk_controversy [-h] [-v] [-l] edgelist community1_nodelist community2_nodelist percent nMore info about the parameters can be fetched by using the-hoption.The option-vcan be used to increase output verbosity and print, alongside the rwc score, the statistics about
random walks. If not specified, only the RWC score is printed out.Finally, the-loption displays a log on the terminal everytime a simulation is completed; I have found this option
pretty usefully since it allows to estimate the time for the algorithm to complete and understand if the algorithm got
stuck.Python libraryAfter the installation, it is possible to compute the rwc score directly in the python interpreter by using the functionget_rwcinside therandom_walk_controversypackage.Example>>>fromrandom_walk_controversyimportget_rwc>>>graph=read_edgelist()>>>side1_nodes=read_nodelist()# list of nodes belonging to partition 1>>>side2_nodes=read_nodelist()# list of nodes belonging to partition 2>>>node_percentage=0.3>>>number_simulations=1000>>>get_rwc(graph,side1_nodes,side2_nodes,node_percentage,number_simulations)76.233
Package: randomword
RandomWord Descriptionrandomwordis a simple python library that chooses a random word fromdwyl's list of English words.
Unlike other libraries, there is no API. This library can be used without internet access.Usageimportrandomwordrandom_word=randomword.get_random_word()# importing randomword and then doing randomword.randomword.get_random_word() is also applicable.print(f"My favorite word in the dictionary is{random_word}.")multiple_random_words=randomword.get_random_word(2)print(f"If I had to choose, I would say my top two favorite words are{multiple_random_words[0]}and{multiple_random_words[1]}.")OutputMyfavoritewordinthedictionaryisunutilized.IfIhadtochoose,Iwouldsaymytoptwofavoritewordsarebarhoppedandpassionful.