Saravanan666/pypi-org huggingface dataset:
Package: passwordManager-jsv
# Password_ManagerPassword Manager is a command-line tool that allows you to securely store and retrieve passwords for various services.It provides encryption for password storage and includes features for generating secure passwords.## InstallationTo use the Password Manager, you need to install it first. You can do this using pip:```bash$ pip install pass_manager# Usage### Generating an Encryption Key$ pass_manager --action generate_key### Setting the Master Password$ pass_manager --action set_master_password --master_password [YOUR_MASTER_PASSWORD]### Storing a Password$ pass_manager --action store --service [SERVICE] --password [PASSWORD] --master_password [YOUR_MASTER_PASSWORD]### Retrieving a Password$ pass_manager --action retrieve --service [SERVICE] --master_password [YOUR_MASTER_PASSWORD]### Generating a Secure Password$ pass_manager --action generate_password --password_length 16###### I can't resolve error while retrieving passwords
Package: passwordmetrics
passwordmetricsFeaturesThe passwordmetrics module takes a string and gives you a lot of information
about it pertaining it’s usefulness as a password.Free software: MIT licenseDocumentation:http://passwordmetrics.readthedocs.org.FeaturesGives you a lot of information about a password, such as:
* Words used in the password
* Entropy (ie, how hard it is to guess)It’s configurable for different languages.A big english wordlist included.L33t compatibilityHistory1.0 (2017-04-15)Stable release, better docs.1.0b1 (2015-04-29)First release on PyPI.
Package: password-mixin
Password MixinMixin that adds some useful methods to ORM objectsCompatible with Python3.5 >= 3.9Installpipinstallpassword-mixinSetupfirst create your objects (or ORM model) and add a__hash_secret__meta field.
Assign your application's secret value to__hash_secret__.frompassword_mixinimportPasswordMixinfromsqlalchemyimportModel# or Django , Flask-Sqlalchemy... etc.classUserModel(OrmModel,PasswordMixin):password=Column(String())# you must have a `password`.# Now create a meta field to define the secret used to create the salt, for example:__hash_secret__="your-app-secret"UsageThe password is saved as the following:"<hash_name>:<hash>"Password Hashingfrompassword_mixinimportPasswordAttributeErrortry:user=UserModel()user.password="wizard123"user.hash_password()# password is now `sha256:7ac5cf88e8c9d262b49af168d9c30e47f2945cc9c207f20af0a39f09aa04595e`# Now you can save your user to your db etc.exceptPasswordAttributeError:# handle no password attributeValidating Passwordsfrompassword_mixinimportPasswordMatchErrortry:user.check_password("wizard111")exceptPasswordMatchError:# handle passwords don't matchExample with Flask & Flask-SqlalchemyclassUserModel(db.Model,PasswordMixin):__tablename__="users"__hash_secret__="wizard123"id=db.Column(db.Integer,primary_key=True)email=db.Column(db.String(100),nullable=False)password=db.Column(db.String(100),nullable=False)defcreate_user(self):self.hash_password()db.session.add(self)Now, with the above setup you can run the followingu=UserModel(email="test1@test.com",password="wizard123")u.create_user()db.session.commit()
Package: password-permute
This repository currently contains Python code for permuting randomly-generated passwords for easier entry on mobile devices.The permutation categorizes the characters of a password into four sets: uppercase (U), lowercase (L), numbers (N), and symbols (S). The rearranged password is then created by concatenating each set in the order U + L + N + S. By grouping character classes (i.e., uppercase, lowercase, numbers, symbols) together in this way, it minimizes the total number of keystrokes required for entry on mobile devices.Disclaimer:
“The United States Department of Commerce (DOC) GitHub project code is provided on an ‘as is’ basis and the user assumes responsibility for its use. DOC has relinquished control of the information and no longer has responsibility to protect the integrity, confidentiality, or availability of the information. Any claims against the Department of Commerce stemming from the use of its GitHub project will be ￼￼￼￼￼￼￼￼ governed by all applicable Federal law.Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by the Department of Commerce. The Department of Commerce seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by DOC or the United States Government.”
Package: passwordPy
ENG:create() - the function itselflength -> lengthcounts -> number of passwordschars -> sets whether the password contains lettersnums -> whether the password contains numberssymbols -> whether the password contains symbolslowerSimbol -> sets whether the character “_” in the text with expanded spacelowerSymbolDistance -> sets the spacing of the “_” character in the textupperLetters -> sets whether the password will contain uppercase letterslowerLetters -> sets whether the password will contain lowercase lettersreturnList -> will return the passwords as a listIf you don’t enter any arguments, the function will return 1 password, 8 characters long.Example:password = create(chars=false, length=16, counts=5)print(password)Conclusion:54180744200436874983825832454167418092397320541205521426556413437774606619186375RU:create() - сама функцияlength -> длина пароляcounts -> количество паролейchars -> задает будут ли в пароле буквыnums -> задает будут ли в пароле цифрыsymbols -> задает будут ли в пароле символыlowerSimbol -> задает будет ли символ “_” в тексте с определенным промежуткомlowerSymbolDistance -> задает промежуток расставления символа “_” в текстеupperLetters -> задает будут ли в пароле буквы верхнего регистраlowerLetters -> задает будут ли в пароле буквы нижнего регистраreturnList -> вернет пароли в виде спискаЕсли вы не введете аргументы, то функция вернет 1 пароль длиною 8 символов.Пример:password = create(chars=False, length=16, counts=5)print(password)Вывод:54180744200436874983825832454167418092397320541205521426556413437774606619186375
Package: password-safe-api-client
___                              _   ___        __
| _ \__ _ _______ __ _____ _ _ __| | / __| __ _ / _|___
|  _/ _` (_-<_-< V  V / _ \ '_/ _` | \__ \/ _` |  _/ -_)
|_| \__,_/__/__/\_/\_/\___/_| \__,_| |___/\__,_|_| \___|Password Safe API client.Client library for BeyondTrust Password SafeFeaturesInstallationUsageAPIContributingLicenseCopyright © 2020 Jerod Gawnehttps://github.com/jerodg/This program is free software: you can redistribute it and/or modify
it under the terms of the Server Side Public License (SSPL) as
published by MongoDB, Inc., either version 1 of the
License, or (at your option) any later version.This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
SSPL for more details.You should have received a copy of the SSPL along with this program.
If not, seehttps://www.mongodb.com/licensing/server-side-public-license.ddfdfd;lpriojasidofn;alsdkfjasd;lfkjasdf;lksadjf;sadlkfjsad;lkfjasd;flkjasdf;lkasdjf;lsdkajf
Package: passwordsgo
PyPass Password Manager v4.0An simple ,secure , trustable and Quantum Safe password Manager developed in Python3.Quick InstallationTo Install fromPyPI:Run the following commands in Linux terminal / Windows powershell / command prompt to install:-pip install passwordsgoThen simply type following to get started :-passwordsgoMain Features and HighlightsIt is fully Open Source!It is Highly Portable and has robust Cross-Platform availability.It Makes Password Reuse as securely as possible.The code is Simple, Modular and Trustable which even beginners can audit for correctness.It does not use any third party modules other than standard python libraries.It is Practically very hard to use Brute-force attacks to recover user passwords.It Uses Robust Offline Password Backup System to backup passwords.NoteCode has been Open sourced For Educational and Research Purpose only.Developers not responsible for Any Damage arising from use of this Software.Interested in our Project???visit our screenshot gallery:https://github.com/Anish-M-code/PyPass/blob/master/screenshots/Gallery.mdCurrently i consider this work as personal project so i don't expect public contributions.Feel free to create an issue if you feel something is missing or broken.
Package: password-state-client
passwords packageA package to interface with the Passwordstate API to retrieve passwords.SetupInstall dependencies in requirements.txtInitialize an object with the api base url and the api key:api_base_url (str): the base url of the Passwordstate apiapi_key (str): the api secret keyapi_base_url="https://passwords.mydomain.com"api_key="123mykey789"pw_lookup=passwords.PasswordstateLookup(api_base_url,api_key)UsageUse the object's methods to find passwords. eg:pw_lookup.get_pw_by_title(5678,"my_password_title")# returns the password with the given title in the given password list, as a stringorpw_lookup.get_pw(1234)# returns the password with id 1234 as a stringorpw_lookup.get_pw_list(5678)# returns a list of dictionaries including passwords for the password list with id 5678Retrieve the username and password for a given account by its ID or title:pw_lookup.get_login_by_title(5678,"my_password_title")# returns a dictionary with the username and password for the account with the given title in the given password listorpw_lookup.get_login(1234)# returns a dictionary with the username and password for the account with id 1234
Package: passwordstore
PasswordStorePython3 utility used to generate complex passwords from one master password.UsageRunpasswordstorefor the first time to generate a password protected secret.
Backup the secret in order to not lose your passwords.After that you can runpasswordstoreto generate a password and to store it in your clipboard.Passwords are not stored anywhere and are simply regenerated from secret and identifier.
This means that you can generate same passwords on different machines without needing to sync anything.
Package: passwordstrength
PasswordStrengthEditable password strength calculator for Python.Update: Add entropy module!EntropyThis calculates the ability to tolerate dictionary attack. Probably, an entropy of2**70is eventually needed.>>>frompasswordstrength.entropyimportEntropy>>>importmath>>>entropy=Entropy()>>>math.log2(entropy.entropy('asdhaskj'))39.603517745128734>>>math.log2(entropy.entropy('hello'))11.240195053979924>>>math.log2(entropy.entropy('helloworld'))49.00439718141092>>>math.log2(entropy.entropy('@sdhaskj'))41.54693421676237>>>math.log2(entropy.entropy('@sQsA$!j'))48.43376716002963Password MeterThis is based onhttp://www.passwordmeter.comUsage>>>frompasswordstrength.passwordmeterimportPasswordStrength>>>strength=PasswordStrength('password')>>>strength.strength()9>>>strength.rule_scores(){'Additions': {'nAlphaLCBonus': 0,'nAlphaUCBonus': 0,'nLengthBonus': 32,'nMidCharBonus': 0,'nNumberBonus': 0,'nSymbolBonus': 0},'Deductions': {'nAlphasOnlyBonus': 8,'nConsecAlphaLCBonus': 14,'nConsecAlphaUCBonus': 0,'nConsecNumberBonus': 0,'nNumbersOnlyBonus': 0,'nRepCharBonus': 1,'nSeqAlphaBonus': 0,'nSeqNumberBonus': 0,'nSeqSymbolBonus': 0}}
Package: password-system
Password SystemThanks for checking out Password System. This will run you through all you need to get started with a full login system for your application. Please read the complete README so that you understand how to use the library.Downloading / Installing:You can either download Password System through Github directly athttps://github.com/jamesg31/Password-Systemor usingpython -m pip install password-systemThen import usingimport passsysSetup:To setup you use thepasssys.setup(Data File)Please note you need to create that file for the password system to work!Adding Users:Add a username and password withpasssys.addUser(username, password)replacing username and password with the username and password variables.Example:username = input("Username: ")
password = input("Password: ")
passsys.addUser(username, password)Checking Users:To check a username and password against the database use thepasssys.checkUser(username, password)which will return eitherTrueorFalsedepending on whether the details matched details in the database.Example:username = input("Username: ")
password = input("Password: ")
if passsys.checkUser(username, password) == True:
    print("Login Successful")
else:
	print("Login Unsuccessful")Saving:At the end of your script, or when you complete the login process in the script, use thepasssys.save()command to save all the changes to the database.Complete Example:You can view a complete example of the Password Systems implementation athttps://github.com/jamesg31/Password-System/blob/master/demo.pySupport:If you have any problems, please report it by making a new issue athttps://github.com/jamesg31/Password-System/issuesPlease ensure you have read the complete README before creating a issue as your problem may be solved here.
Package: passwordtest
PY-passwordtest V.1This script is to measure password security from Brute Force and Dictionary (worldlist) attacks, by calculating the number, location, and character level. the longer and more varied the character of the password, the harder it is to crackInstallationPippython -VWindows:python -m pip install passwordtestUnix or Mac:pip install passwordtestGITWindows, Unix and Mac:git clone https://github.com/LcfherShell/passwordtest
   cd passwordtest
   python -m pip install . or python setup.pyUsage Example1. from passwordtest.main import PasswordTest

2. password = 'Hello'

3. passwordtest = PasswordTest(active=True)#call class

4. required_time = PasswordTest.__time__(text=data) #getting time

5. sorttime = passwordtest.Sort_Pw(text=[required_time[0], required_time[1]) #sorttime by min and max

6. badtime = sorttime[1] #time late

7. goodtime = sorttime[0] #fastest time

8. goodtime = passwordtest.Convert_Date(goodtime)#covert to time

9. security = passwordtest._Score_Point(password)##get score point

10.Precent =passwordtest.Precent_Safesecurity(security, badtime, password)#get percent security

11.print(goodtime, security, Precent)Shell Demoopen commandprompt and type passwordtestðŸ“«Bug reports:LCFHERSHELL@TUTANOTA.COMSociall Media:
Package: passwordtools-yt
passwordtools.This Python package provides functions for generating and testing passwords. The password generator can create passwords of different lengths and complexity, and the password strength tester can assess the security of a password. The password generator uses a random number generator to generate random passwords. The Password Strength Checker uses a variety of factors to assess password security, including password length, and password complexity. This package is an invaluable tool for anyone who needs to create or test passwords.Features.Generates random passwords of a specified length.Includes letters (both uppercase and lowercase), digits, and punctuation.used to generate strong passwords.Checking the strength of passwords.Installation.To install passwordtools, use the following command:pip install passwordtool-ytTo build from source follow these steps:
execute the command,git clone https://github.com/Yair-T/passwordtools.git.Go to the project and execute the commandpy -m build.Documentation.To use a package, first import it:frompasswordtoolsimportPasswordToolAfter that, to generate the password we will execute thegenerate()command:password:str=PasswordTool.generate()print(password)To check the strength of the password, execute the command below:print(PasswordTool.is_strong(password))The full code:frompasswordtoolsimportPasswordToolpassword:str=PasswordTool.generate()print(password)print(PasswordTool.is_strong(password))Licensepasswordtools is licensed under the MIT License.
This project is licensed under the MIT License. - see theLICENSEfile for details.
Package: password-validator
password_validatorThis is a python port ofnpmpackagepassword-validator.Installpip installpassword-validatorUsagefrompassword_validatorimportPasswordValidator# Create a schemaschema=PasswordValidator()# Add properties to itschema\.min(8)\.max(100)\.has().uppercase()\.has().lowercase()\.has().digits()\.has().no().spaces()\# Validate against a password stringprint(schema.validate('validPASS123'));# => Trueprint(schema.validate('invalidPASS'));# => FalseRulesRules supported as of now are:RulesDescriptionsdigits()specifies password must include digitsletters()specifies password must include letterslowercase()specifies password must include lowercase lettersuppercase()specifies password must include uppercase letterssymbols()specifies password must include symbolsspaces()specifies password must include spacesmin(len)specifies minimum lengthmax(len)specifies maximum lengthno([regex])inverts the result of validations applied nexthas([regex])inverts the effect ofno()and applies a regex (optional)LicenseMIT License
Package: passx
PassxIt's a script, using GNUPG for encrypting passwords.InstallationCreate a GNUPG key pair if not created already, following thisGNUPG tutorialAfter that, when key pair is created. Do following:$pipinstallpassxUsageUsage:
    passx [account] - Loads password to clipboard

    -a , --add
        passx -a/--add [account] - Saves account
    -d, --delete
        passx -d/--delete [account] - Deletes account
    --list
        passx --list - List all accounts saved
Package: past
pastis a package to aid with Python 2/3 compatibility. Whereasfuturecontains backports of Python 3 constructs to Python 2,pastprovides
implementations of some Python 2 constructs in Python 3. It is intended to be
used sparingly, as a way of running old Python 2 code from Python 3 until it is
ported properly.Potential uses for libraries:as a step in porting a Python 2 codebase to Python 3 (e.g. with thefuturizescript)to provide Python 3 support for previously Python 2-only libraries with the
same APIs as on Python 2 – particularly with regard to 8-bit strings (thepast.builtins.strtype).to aid in providing minimal-effort Python 3 support for applications using
libraries that do not yet wish to upgrade their code properly to Python 3, or
wish to upgrade it gradually to Python 3 style.To installpast, use:$ pip install futureHere are some examples that run identically on Python 3 and 2:>>> from past.builtins import (str as oldstr, range, reduce,
                               raw_input, xrange)

>>> philosopher = oldstr(u'孔子'.encode('utf-8'))
>>> # This now behaves like a Py2 byte-string on both Py2 and Py3.
>>> # For example, indexing returns a Python 2-like string object, not
>>> # an integer:
>>> philosopher[0]
'å'
>>> type(philosopher[0])
<past.builtins.oldstr>

>>> # The div() function behaves like Python 2's / operator
>>> # without "from __future__ import division"
>>> from past.utils import div
>>> div(3, 2)    # like 3/2 in Py2
0
>>> div(3, 2.0)  # like 3/2.0 in Py2
1.5

>>> # List-producing versions of range, reduce, map, filter
>>> from past.builtins import range, reduce
>>> range(10)
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> reduce(lambda x, y: x+y, [1, 2, 3, 4, 5])
15

>>> # Other functions removed in Python 3 are resurrected ...
>>> from past.builtins import execfile
>>> execfile('myfile.py')

>>> from past.builtins import raw_input
>>> name = raw_input('What is your name? ')
What is your name? [cursor]

>>> from past.builtins import reload
>>> reload(mymodule)   # equivalent to imp.reload(mymodule) in Python 3

>>> from past.builtins import xrange
>>> for i in xrange(10):
...     passIt also provides experimental import hooks so you can import and run Python 2 modules from Python 3:>>> from past import autotranslate
>>> autotranslate('mypy2module')

>>> import mypy2moduleDocumentationSeehttp://python-future.org.CreditsAuthor:Ed SchofieldSponsor:Python Charmers Pty Ltd, Australia:http://pythoncharmers.comLicensingCopyright 2013-2014 Python Charmers Pty Ltd, Australia.
The software is distributed under an MIT licence. See LICENSE.txt.
Package: pasta-eln
PASTA electronic lab notebook (ELN) | The favorite ELN for experimental scientistsPasta-dishes are a mixture pasta and sauce, the latter adds flavors and richness to the otherwise boring pasta. This ELN combines raw-data with rich metadata to allow advanced data science. In the database, one can fully adapt and improvise the metadata definitions to generate something novel. PASTA-ELN uses a local-first approach: store all data and metadata locally (always accessible to user) and synchronize with a server upon user request.Location of informationMore information, incl. detailed installation instructions, for users can be found on theGithub-pages.While people that are interested into the development are guided togithub.Short installation instructionspipinstallpasta-elnTo start PASTA-ELN, use:pastaELNwhich will automatically open the graphical user interface (GUI) to finish the setup.More detail are found at theinstall-page.
Package: pastafy
PastafyPastafy anyone.Ever pictured yourself in a pasta version? Maybe your puppy? Well now you can! Simply select a picture of yourself and a pasta style you may wish to apply.Free software: GNU General Public License v3Documentation:https://pastafy.readthedocs.io.FeaturesPastafy brings artificial neural network style transfer from one image to another one as described inA Neural Algorithm of Artistic Style.UseAfter installation process is complete, call pastafy from the command line. To see a list of available options type:pastafy -h-h, –help show this help message and exit-g GPU, –gpu GPU Whether to use GPU or not. Defaults to False.-i IMG IMG, –images IMG IMG Images to be used. First one should be the content image (you) and second one the style (kitty). Alternatively, you could specify any desired content and style.-n ITERS, –number ITERS Number of iterations. Defaults to 10.-l LAYER, –layer LAYER Feature layer to be extracted. Defaults to 4.-o OUTPUT, –output OUTPUT Name of output image. Defaults to a concatenation of style image name and content image name.-r RATIO, –ratio RATIO Ratio of the weights assigned to the style and content image (Alpha Beta ratio). Defaults to 0.01.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.Inspired by theData Science Group.History0.1.0 (2020-09-14)First release on PyPI.