Saravanan666/pypi-org huggingface dataset:
Package: readablePTH
Readable PTHAbout this projectMake pth readable.This project can write json file from pth and can write the pth again from the json.model.pth <--> model.jsonLimitationmodel.pth must be the state_dict of a Pytorch model:torch.save(model.state_dict(), 'model.pth')InstallationpipinstallreadablePTHFor developPlease clone the projectgitclonehttps://github.com/oneview-space/readablePTH.gitAnd then installcdreadablePTH
pipinstall-e.UsageFor now this is only working with [encode,decode] commandsdecode from pth to jsonrpthdecode-itest/models/model_small.pth-otest/models/model_small.jsonencode from json to pthrpthencode-itest/models/model_small.json-otest/models/model_small_restored.pthTestFor testing with small model run:cdtestpythontest_small_net.pyTODO:Add the ability to use any torch versionAdd args to map_location (CPU/GPU) when writing pth fileAdd compare state_dict or json methods for checking results
Package: read-acq
Read EDGES ACQ spectrum files.InstallationIn a new/existing python environment, runpip installgit+https://github.com/edges-collab/read_acq.If you wish to developread_acq, do the following:git clone https://github.com/edges-collab/read_acq
cd read_acq
pip install -e .Usageread_acqcan be used in a Python interpreter or directly via the command line.CLITo use the CLI, a single command is provided:acq convert <data.acq> [<data2.acq> …] [-f format1 [-f format2]]This will convert the file(s) provided to all formats provided, and place any resulting
files in the same location as the original datafile(s) (but with different extension).
The default format is ‘mat’.
The command can be run from anywhere on the system, and the file given can be a
relative or absolute path.Multiple data files can be given, and each will be converted. Wildcards may also be
used in any of the filenames, eg.:acq convert data/*.acqLibraryThe main point of entry for the Python interface isdecode_file:>>> from read_acq import decode_file
>>> data = decode_file("my_data.acq", write_formats=[])By default, this function will also write the file in.matformat, but you can turn
that off by providingwrite_formats=[]. The output is anumpyarray of the data.
Several more options are provided, usehelp(decode_file)in an interpreter to see
all the options.
Package: read-and-chat
read-and-chatInstallationRun the following series of commands in a shell, such as bash.git clone git@github.com:hssrobotics23/read-and-chat.git
cd read-and-chatInstall the repository locally with python3.8or above.python3 -m pip install -e .Then, run the command line toolread-and-chat.read-and-chatPublishingBundle the source code and the wheels.python3 -m pip install build
python3 -m build --sdist
python3 -m build --wheelTo publish to pypiwith credentialsin your.pypirc, run:python3 -m pip install twine
python3 -m twine upload dist/*
Package: readchar
python-readcharLibrary to easily read single chars and keystrokes.Born as apython-inquirerrequirement.Installationsimply install it viapip:pipinstallreadcharOr download the source code fromPyPi.UsageSimply read a character or keystroke:importreadcharkey=readchar.readkey()React to different kinds of key-presses:fromreadcharimportreadkey,keywhileTrue:k=readkey()ifk=="a":# do stuffifk==key.DOWN:# do stuffifk==key.ENTER:breakDocumentationThere are just two methods:readchar.readchar() -> strReads one character fromstdin, returning it as a string with length 1. Waits until a
character is available.As only ASCII characters are actually a single character, you usually want to use the
next function, that also handles longer keys.readchar.readkey() -> strReads the next keystroke fromstdin, returning it as a string. Waits until a keystroke
is available.A keystroke can be:single characters as returned byreadchar(). These include:character for normal keys:a,Z,9,...special characters likeENTER,BACKSPACE,TAB,...combinations withCTRL:CTRL+A,...keys that are made up of multiple characters:characters for cursors/arrows:🡩,🡪,🡫,🡨navigation keys:INSERT,HOME,...function keys:F1toF12combinations withALT:ALT+A,...combinations withCTRLandALT:CTRL+ALT+SUPR,...NoteCTRL+Cwill not be returned byreadkey(), but instead
raise aKeyboardInterupt. If you what to handle it yourself, usereadchar().readchar.keymoduleThis submodule contains a list of available keys to compare against. The constants are
defined depending on your operating system, so it should be fully portable. If a key is
listed here for your platform,readkey()can read it, and you can compare against it.readchar.configclassThis static class contains configurations forreadchar. It holds constants that are
used in other parts of the code as class attributes. You can override/change these to
modify its behaviour. Here is a description of the existing attributes:INTERRUPT_KEYSList of keys that will result inreadkey()raising aKeyboardInterrupt.Default:[key.CTRL_C]OS SupportThis library actively supports these operating systems:LinuxWindowsSome operating systems are enabled, but not actively tested or supported:macOSFreeBSD / OpenBSDTheoretically every Unix based system should work, but they will not be actively tested.
It is also required that somebody provides initial test results before the OS is enabled
and added to the list. Feel free to open a PR for that.Thank you!How to contributeYou have an issue problem or found a bug? You have a great new idea or just want to fix
a typo? Great :+1:. We are happy to accept your issue or pull request, but first, please
read ourcontribution guidelines.
They will also tell you how to write code for this repo and how to properly prepare an
issue or a pull request.Copyright (c) 2014-2022 Miguel Ángel García
Package: readcsvturbo
Improved method for reading the first/last/specific line from csv into a DataFrameEver deal with multiple huge csv files and and the panadsread_csv/skiprowsmethod is slowing you down? You are not alone.read-csv-turbo is an improved method of reading the first and last lines using unixheadandtailcommands to get the data you want in a dataframe as fast as possible. I may include Windows support in the future if requested.Reading a large csv once is “fine” but often I find myself looping through many files and this process is painfully slow which is why StackOverflow suggestions didn’t cut it. There may be a newer/smarter way of approaching this but this method should be as fast as you could get.At the moment the use case of this is quite limited as it just provides a fast way to read thefirst,lastornrow of a csv into a dataframegithub:https://github.com/donjor/read-csv-turbo
Package: readDataFile
Uno Read data Filethis is function for read datafileExample Codeimport readDataFilereadDataFile.ReadDataFile(파일명)단일 파일 또는 여러 파일명 / 탐색기 없이 파일 불러오기readDataFile.ReadDataFile(폴더명)해당 폴더에 탐색기 실행readDataFile.ReadDataFile()기본 폴더에 탐색기 실행
Package: readdbc
readdbcUm pacote python para ler dados no formato DBC (DBF comprimido) usado pelo DATASUS.UsoO código abaixo descompactará o arquivoCOLEBR15.dbce salvará o conteúdo emCOLEBR15.dbf.import readdbc

readdbc.dbc2dbf('COLEBR15.dbc', 'COLEBR15.dbf')Esse descompacta e ja converte para .csv:import readdbc

readdbc.dbc2csv('COLEBR15.dbc', 'COLEBR15.csv')SuporteO pacote é testado em todas as versões oficiais do python (3.8 até a 3.12).Também testado em GNU/Linux e MacOS.Caso descubra algum bug ou comportamento inesperado nessas versões e plataforma, por favor entre em contato.Windows não é suportado por enquanto!Mas caso você seja um usuário do windows e queira ajudar, por favor entre em contato.Inspiraçãoread.dbcAn R package for reading data in the DBC (compressed DBF) format used by DATASUS.
Package: readDiag
readDiagreadDiag is a Python package that provides a class to read and plot theGridpoint Statistical Interpolationdiagnostics files. It can be used to retrieve and investigate important information from the data assimilation process:InstallationUse eithercondaorpython -m venvto setup a virtual environment to install readDiag:conda create -n readDiag python=3.9.18
conda activate readDiag
pip install readDiagorpython -m venv readDiag
source readDiag/bin/activate
pip install readDiagNote:When usingpython -m venvmake sure to have Python >=3.9.18 installed on your system. For more information on how to use readDiag, take a look at the project'sdocumentation.
Package: readEdi
Read Positional Files from a config Files:Easy two-way conversion between Python dictionaries and fixed-width files.This module has also proven useful for "debugging" a fixed-width spec -- an invalid configuration reports an error that may not be obvious from reading the spec document.Requires a 'config' dictonary. See unit tests for full example."Tipo_registro": {
        "required": True,
        "type": "integer",
        "start_pos": 1,
        "end_pos": 1
    },

    "estabelecimento_matriz": {
        "required": True,
        "type": "integer",
        "start_pos": 2,
        "end_pos": 11,
        "length": 10,
    },

    "data_processamento": {
        "required": True,
        "type": "integer",
        "start_pos": 12,
        "end_pos": 19,
        "length": 8,

    },

    "Periodo_inicial": {
        "type": "integer",
        "start_pos": 20,
        "end_pos": 27,
        "length": 8,
        "required": True
    },

    "Periodo_final": {
        "type": "integer",
        "start_pos": 28,
        "end_pos": 35,
        "length": 8,
        "required": True
    },

    "sequencia": {
        "type": "integer",
        "start_pos": 36,
        "end_pos": 42,
        "length": 7,
        "required": True
    },

    "empresa_adquirente": {
        "required": True,
        "type": "string",
        "start_pos": 43,
        "end_pos": 47,
        "length": 5
        },

    "opcao_extrato": {
        "required": True,
        "type": "integer",
        "start_pos": 48,
        "end_pos": 49,
        "length": 2
        },

    "van": {
        "required": True,
        "type": "string",
        "start_pos": 50,
        "end_pos": 50,
        "length": 1
        },

    "caixa_postal": {
        "required": False,
        "type": "string",
        "start_pos": 51,
        "end_pos": 70,
        "length": 20
        },

    "versão_layout": {
        "required": False,
        "type": "integer",
        "start_pos": 71,
        "end_pos": 73,
        "length": 3
        }
}


def test_fw_to_dict():
    """
    Pass in a line and receive dictionary.
    """

    fw_config = deepcopy(layouts.TIPO2CONFIG)

    fw_obj = FixedWidth(fw_config)
    fw_obj.line = ("210274391334190626532930******311000020190626+00000000352340103   R64061                    79398900000000000001600000000000000000000000000000000000000129000454                      00000019177510012466900000010001001 05                              ")

    values = fw_obj.data

    valid = fw_obj.is_valid



    print(values)
    print(valid)


test_fw_to_dict()Notes:A field must have a start_pos and either an end_pos or a length. If both an end_pos and a length are provided, they must not conflict.A field may not have a default value if it is required.Supported types are string, integer, and decimal.License: BSD
Package: read_env
read_env reads .env.Installpip install read_envUsageAdd variables to a.envfile in your project.# myapp/.envDEBUG=truePORT=5000Callread_envto add the variables toos.environ.# myapp/env.pyimportosfromread_envimportread_envread_env()assertos.environ['DEBUG']=='true'assertint(os.environ['PORT'])==5000Changelog1.1.0 (2016-05-01)Addrecurseparameter (defaults toTrue).If.envfile doesn’t exist at givenpath, recurse up the directory tree (by default).1.0.0 (2016-04-30)First PyPI release.Related ProjectsCheck outenvironsfor parsing environment variables.LicenseMIT
Package: read-env-keys
read-envBoilerplate code to read API keys from a .env file in PythonQuickstartFunctions to choose from includeread_pair_from_env: Read key pair from specified env fileread_key_from_env: Read API key from specified env fileread_sec_from_env: Read API secret from specified env fileYou can install theread-env-keyspackage via pippip3 install read-env-keysAfter installing, you will be able to import the module usingfrom read_env_keys import *orimport read_env_keysRead an API key from your .env fileAfter you have installed the package, create an env file (if you do not have one already) in your current working directory (cwd).MacOS / UnixGet the current working directory's absolute path by typingpwdin the terminal. Copy and paste this as a string with the name of your env file appended (including the.envextension) as an argument.WindowsGet the current working directory's absolute path by typingcdin the command line.Once you have the full path to the env file, pass it as an argument. You can optionally specifiy the API key name to read.fromread_env_keysimport*# Read an API Key. Default key name is 'API_KEY'api_key_value=read_key_from_env(YOUR_ENVS_ABSOLUTE_FILEPATH)# Read an API Key and specify the key name in the env fileapi_key_value=read_key_from_env(YOUR_ENVS_ABSOLUTE_FILEPATH,api_key='my_key')
Package: reader
readeris a Python feed reader library.It is designed to allow writing feed reader applications
without any business code,
and without depending on a particular framework.readerallows you to:retrieve, store, and manageAtom,RSS, andJSONfeedsmark articles as read or importantadd arbitrary tags/metadata to feeds and articlesfilter feeds and articlesfull-text search articlesget statistics on feed and user activitywrite plugins to extend its functionalityskip all the low level stuff and focus on what makes your feed reader different…all these with:a stable, clearly documented APIexcellent test coveragefully typed PythonWhatreaderdoesn’t do:provide an UIprovide a REST API (yet)depend on a web frameworkhave an opinion of how/where you use itThe following exist, but are optional (and frankly, a bit unpolished):a minimal web interfacethat works even with text-only browserswith automatic tag fixing for podcasts (MP3 enclosures)a command-line interfaceDocumentation:reader.readthedocs.ioUsage:$pipinstallreader>>>fromreaderimportmake_reader>>>>>>reader=make_reader('db.sqlite')>>>reader.add_feed('http://www.hellointernet.fm/podcast?format=rss')>>>reader.update_feeds()>>>>>>entries=list(reader.get_entries())>>>[e.titleforeinentries]['H.I. #108: Project Cyclops','H.I. #107: One Year of Weird',...]>>>>>>reader.mark_entry_as_read(entries[0])>>>>>>[e.titleforeinreader.get_entries(read=False)]['H.I. #107: One Year of Weird','H.I. #106: Water on Mars',...]>>>[e.titleforeinreader.get_entries(read=True)]['H.I. #108: Project Cyclops']>>>>>>reader.update_search()>>>>>>foreinreader.search_entries('year',limit=3):...title=e.metadata.get('.title')...print(title.value,title.highlights)...H.I.#107: One Year of Weird (slice(15, 19, None),)H.I.#52: 20,000 Years of Torment (slice(17, 22, None),)H.I.#83: The Best Kind of Prison ()
Package: readerlet
A CLI utility for extracting readable content from web pages. Converts web articles to clean HTML or plain text usingmozilla/readability. Extracted content can be packaged into EPUB or printed to stdout.Includes Send to Kindle integration via thestkclient, allowing sending created EPUB articles directly to your Kindle device for offline reading.InstallationInstall usingpiporpipx:pip install readerlet
pipx install readerletNote that this utility requires Node.js.For convenience, thenodejs-binpackage containing node binary & npm can be installed optionally as an extra dependency:pip install 'readerlet[node]'UsageFor help, run:readerlet --helpThereaderlet sendpackages web content as EPUB file and sends it to your Kindle. You must first authorize the application withreaderlet kindle-login. This feature stores credentials locally.readerlet kindle-login
readerlet send <url>To send local file instead:readerlet send <path/to/local/file>Theextractcommand extracts content from URL and outputs an EPUB file to specified directory if used with-eflag:readerlet extract <url> -e <output-dir>
readerlet extract https://example.com -e .To print the extracted content to stdout as html or just text:readerlet extract <url> -o html
readerlet extract <url> -o textBothextractandsendcommands accept-iand-hflags that remove image-related elements and hyperlinks from content.Remove hyperlinks:readerlet extract <url> -h
readerlet send <url> -hRemove images and hyperlinks:readerlet extract <url> -i -h -o html
readerlet send <url> -i -hDevelopmentFirst checkout the code. Then create a new virtual environment:cd readerlet
python -m venv venv
source venv/bin/activateInstall the dependencies and dev/test dependencies:pip install -e '.[test]'To run the tests:pytest
Package: reader-rbv
Reader RBVSDK / Client python untuk Ruang Baca Virtual.InstallInstall denganpythonpipinstall--upgradereader-rbvPenggunaanfromreader_rbvimportReaderreader=Reader("username","Passw0rd")book1=reader["BOOK1"]chapter1_book1=book1["chapter1"]page1_chapter1_book1=chapter1_book1[1]print(page1_chapter1_book1)Rubah folder cache dengan menyetel envREADER_RBV_HOMEdengan folder yang dituju.Legal / HukumKode ini sama sekali tidak berafiliasi dengan, diizinkan, dipelihara, disponsori atau didukung olehUniversitas Terbukaatau afiliasi atau anak organisasinya. Ini adalah perangkat lunak yang independen dan tidak resmi. Gunakan dengan risiko Anda sendiri.
Package: reader-toolbox
Distant Reader ToolboxA command-line interface for creating and interacting withDistant Readerstudy carrelsInstallationpip install reader-toolboxQuick start# configure; accept the default
 rdr set -s local

  # add an item to your library
  rdr download homer

  # read homer
  rdr read homer

  # list all words
  rdr ngrams homer

  # list all bigrams
  rdr ngrams homer -s 2

  # list all bigrams and count them
  rdr ngrams homer -s 2 -c

  # search
  rdr concordance homer

  # search again, but specify a query
  rdr concordance homer -q war

  # list subject-verb-object fragments; please be patient
  rdr grammars homer

  # list noun phrases
  rdr grammars homer -g nouns

  # cluster; do the items in the carrel group themselves?
  rdr cluster homer

  # topic model; similar to cluster but with more detail
  rdr tm homer

  # page through additional carrels for downloading
  rdr catalog -l remote -h

  # download another carrel
  rdr download pride

  # download yet another carrel
  rdr download sonnets

  # list your carrels
  rdr catalogDescription and backgroundThe Reader Toolbox -- run from the command-line asrdr-- is designed to create and interact with Distant Reader study carrels. Using the Toolbox you can do things such as but not limited to:search and browse the collection of more than 3,000 publicly available study carrelsdownload study carrels from the public collection and add them to your own collectioncount & tabulate the most frequent ngrams (one-word, two-word, etc. phrases) occurring in study carrelsapply concordancing (keyword-in-context searching) against study carrelsapply topic modeling (extracting latent themes) against study carrelsextract information from your study carrels matching specific grammarscreate your own study carrelsand moreIn the end, the Toolbox empowers you to read, use, and understand large volumes of text quickly and easily.Linksdownload:https://pypi.org/project/reader-toolboxdocumentation:https://reader-toolbox.readthedocs.iosource code:https://github.com/ericleasemorgan/reader-toolboxbug tracker:https://github.com/ericleasemorgan/reader-toolbox/issuesEric Lease Morgan <emorgan@nd.edu>January 5, 2023
Package: readerwriterlock
Reader Writer LockA python implementation of a solution for the three Reader-Writer problems.Not only does it implement the reader-writer problems, it is also compliant with the pythonlock interfacewhich among others include support for timeout.For reading about the theory behind the reader-writer problems refer toWikipedia.InstallationInstall the python packagereaderwriterlockpython3-mpipinstall-UreaderwriterlockUsageChoose a rwlock class base on your access priority need and feature need which is going to be use by the threads:Priority+Speed+Downgradable*Reader priority(aka First readers-writers problem)RWLockReadRWLockReadDWriter priority(aka Second readers-writers problem)RWLockWriteRWLockWriteDFair priority(aka Third readers-writers problem)RWLockFairRWLockFairD*Downgradablefeature allows the locks to be atomically downgraded from being locked in write-mode to locked in read-modeⓘ Downgradable classes come with a theoretical ~20% negative effect on performance for acquiring and releasing locks.Instantiate an instance of the chosen RWLock class:fromreaderwriterlockimportrwlocka=rwlock.RWLockFairD()Generate read locks and write locks using the following methods:a_reader_lock=a.gen_rlock()a_writer_lock=a.gen_wlock()Use the generated read/write locks to protect section in your code:Pythonic usage examplewitha.gen_rlock():#Read stuffwitha.gen_wlock():#Write stuffUse case (Timeout) exampleb=a.gen_wlock()ifb.acquire(blocking=True,timeout=5):try:#Do stufffinally:b.release()Use case (Downgrade) exampleb=a.gen_wlock()ifb.acquire():try:#Read/Write stuffb=b.downgrade()#Read stufffinally:b.release()Live exampleRefer to the filetest_rwlock.pywhich has above 90% line coverage ofrwlock.py.The tests can be initiated by doingmakecheck.test.coverageContactProject:GitHubÉric Larivièreericlariviere@hotmail.com
Package: reader-writer-locks
ReaderWriterLockThis Python package addresses the reader-writer problems. It supports both multithreading and multiprocessing environment in Python.The package is implemented based on aRLockand 2Condition VariablesRefer toWikipediafor full detail about reader-writer lock.Installationpip install reader-writer-locksUsageChoose between the followingoptionPriority PoliciesoptionNot specified0Reader priority1Writer priority2Instantiate locks based on the chosenoption# in case of multithreading usage

from reader_writer_lock import MultithreadingFactory
rw = MultithreadingFactory(option)
r_lock = rw.get_read_lock()
w_lock = rw.get_write_lock()

# in case of multiprocessing usage

from reader_writer_lock import MultiprocessingFactory 
# same as multi threading casesUse the generated lock to protect critical sections Pythonic usagewith r_lock:
    # Read
with w_lock:
    # WriteFuture workTo avoid starvation problem. (As theCondition Objectin Python does not work in FIFO manner)To add blocking & timeout interface, which follows theRLockinterface