Saravanan666/pypi-org huggingface dataset:
Package: drcsterm
What is ThisDRCSTerm aims at reviving the DRCS(Dynamically Redefined Character Set)
feature to the Terminal World.
It provides the character mapping service which converts some UCS Private
Area (Plain 16) characters to ISO-2022 designation sequences on your terminal.Enable/Disable MappingDRCSTerm reserves private mode 8800-8805Example for DRCSMMv1:Enable mapping service version 1:CSI ? 8800 hDisable mapping service version 1:CSI ? 8800 lMapping RuleDRCSTerm uses UCS 16 Plane (U+100000-U+10FFFF).
If output character stream includes characters in this range, such as;U+10XXYY ( 0x40 <= 0xXX <=0x7E, 0x20 <= 0xYY <= 0x7F )DRCSTerm convert them into fllowing ISO-2022 Designatin Format:ESC ( SP <\xXX> <\xYY> ESC ( BInstallvia github$ git clone --recursive https://github.com/saitoha/drcsterm.git
$ cd drcsterm
$ python setup.py installor via pip$ pip install drcstermUsage$ drcsterm [options] commandOptions:-h, --help                  show this help message and exit
--version                   show version
-t TERM, --term=TERM        override TERM environment variableDependencyHayaki Saito’s TFF, Terminal Filter Frameworkhttps://github.com/saitoha/tffReference“VT320 Soft Character Sets”http://vt100.net/dec/vt320/soft_characters“VT100.net - DECDLD”http://vt100.net/docs/vt510-rm/DECDLD“RLogin”http://nanno.dip.jp/softlib/man/rlogin/This terminal supports DECDLD“Soft Character Set (DRCS)” (Japanese)http://togetter.com/li/385813
Package: drd
Digital Rocks DataMake downloading and using Digital Rock Data great again!Quick StartInstallation from Github using pippipinstalldrdLoading an Image Datasetfromdrd.datasets.eleven_sandstonesimportload_eleven_sandstones# xarray DataArray with image dataimg=load_eleven_sandstones("Berea","Berea_2d25um_grayscale.raw")# Plot average over z dimensionimg.mean(dim='z').plot()AboutDigital Rock Images are three-dimensional datasets of rocks and other porous media.These are typically acquired using three-dimensional imaging techniques such asMicro-Computer Tomography (MicroCT).They represent a rich dataset that form a basis for characterization of physical processes involving porous media.Purpose of thedrdlibraryDigital Rock Images are scattered throughout the web on various hosting sites such as theDigital Rocks Portal,Zenodo, or university specific sites.
This library aims to make downloading these datasets easy through a python interface so they can be used in automated image processing workflows,
reproducible research, or data science and machine learning worfklows.Furthermore, these images are associated with metadata about their spatial dimensions which should be considered when loading these image datasets.The library therefore requires these metadata to be available and creates anxarrayDataArray which can keep spatial scale information when loading an image dataset.Each dataset is linked in this library i.e. no hosting is done by the library itself.Available DatasetsDigital Rocks Portal:Eleven Sandstones DatasetBereaBandera BrownBandera GrayBentheimerBerea Sister GrayBerea Upper GrayBuff BereaCastle GateKirbyLeopardParkerImperial College London:MicroCT Images of Sandstones and Carbonates 2015MicroCT Images of Sandstones and Carbonates 2009ContributingAuthors are encouraged to contribute their own datasets using the correct metadata.Seedrd/datasets/eleven_sandstones.pyfor an example implementation.Please add corresponding tests and an example to your pull request.CreationThis package was created during the Transform 22 software sprint.
Package: drdev
Docker Development (drdev)Planned functionalityCreate a setup.py to create pip installable packageSupport various flavors of linuxAdd multiple programming languages: Python, Go, Rust, C?Customizable scripts for dev setupNeoVIM setup and loading .vimrctools/funcitonality to buildspin up : Spins up a docker container for development worklist dev : Lists all dev containersconnect: Connect a terminal to a specific dev containeroutput a dockerfile for the dev envcreate a docker compose file
Package: dr-doc-search
Doc SearchConverse with a book (PDF)Seetweetfor full demo.Documentation:https://namuan.github.io/dr-doc-searchSource Code:https://github.com/namuan/dr-doc-searchPyPI:https://pypi.org/project/dr-doc-search/Pre-requisitesTessaract OCRImageMagickNote:If you are using Windows, then make sure that you set the location
of ImageMagick executable in theIMCONVenvironment variable.# For example, if you have installed ImageMagick in PROGRAMFILES\ImageMagick-7.1.0-Q16-HDRIsetIMCONV="%PROGRAMFILES%\ImageMagick-7.1.0-Q16-HDRI\magick"Installationpipinstalldr-doc-searchExample UsageThere are two steps to use this application:1.First, you need to create the index and generate embeddings for the PDF file.
Here I'm using a PDF file generated from this pageParable of a Monetary EconomyBefore running this, you need to set up your OpenAI API key. You can get it fromOpenAI.From version 1.5.0, you can skip OpenAI and use HuggingFace models to generate embeddings and answers.exportOPENAI_API_KEY=<your-openai-api-key>The run the following command to start the training process:dr-doc-search--train-i~/Downloads/parable-of-a-monetary-economy-heteconomist.pdfUsehuggingfacefor generating embeddings:dr-doc-search--train-i~/Downloads/parable-of-a-monetary-economy-heteconomist.pdf--embeddinghuggingfaceThe training process generates some temporary files in theOutputDir/dr-doc-search/<pdf-name>folder under your home directory.
Here is what it looks like:~/OutputDir/dr-doc-search/parable-of-a-monetary-economy-heteconomist
$ tree
.
├── images
│ ├── output-1.png
│ ├── output-10.png
│ ├── output-11.png
...
│ └── output-9.png
├── index
│ ├── docsearch.index
│ └── index.pkl
├── parable-of-a-monetary-economy-heteconomist.pdf
└── scanned
    ├── output-1.txt
    ...
    └── output-9.txtNote:It is possible to change the base of the output directory by providing the--app-dirargument.2.Now that we have the index, we can use it to start asking questions.dr-doc-search-i~/Downloads/parable-of-a-monetary-economy-heteconomist.pdf--input-question"How did the attempt to reduce the debut resulted in decrease in employment?"Or You can open up a web interface (on port :5006) to ask questions:dr-doc-search--web-app-i~/Downloads/parable-of-a-monetary-economy-heteconomist.pdfTo usehuggingfacemodel, provide the--llmargument:dr-doc-search--web-app-i~/Downloads/parable-of-a-monetary-economy-heteconomist.pdf--llmhuggingfaceThere are more options for choose the start and end pages for the PDF file.
See the help for more details:dr-doc-search--helpAcknowledgementsanton/@abacajfor the ideaLangChainHoloViz PanelOpenAIDevelopmentClone this repositoryRequirements:Python 3.7+PoetryCreate a virtual environment and install the dependenciespoetryinstallActivate the virtual environmentpoetryshellValidating buildmakebuildRelease processA release is automatically published when a new version is bumped usingmake bump.
See.github/workflows/build.ymlfor more details.
Once the release is published,.github/workflows/publish.ymlwill automatically publish it to PyPI.DisclaimerThis project is not affiliated with OpenAI.
The OpenAI API and GPT-3 language model are not free after the trial period.
Package: dr-dump
This is a Django data dump script generator. It either generates a script to
call dumpdata or does dumpddata itself.It may produce command line scripts usable within a Makefile or as a simple
bash scripts to dump or load data with Django from the many app names you give
it.It need a dependancies map to know what is required to be dumped.MapsCurrently it only have two maps one for “djangocms-2” and one for “djangocms-3”
projects, and so it only knows about:Django contrib auth;Django sites;emencia.django.countries;contact_form;DjangoCMS and its common plugins;Zinnia;Porticus;South;django-tagging;django-taggit;easy-thumbnails;django-filer;django-google-tools;emencia-django-socialaggregator;emencia-django-slideshows;Note : Many app depends on Django’s content types but we don’t bother because
it is automatically filled by Django and we should never try to dump/load it.FormatDumps order does matter to respect module’s dependancies;model or dependancy names can be string or either a list of names, take care
that string is splitted on white spaces, if you use excude flag like ‘-e’
with your model names, always use a list;Circular dependancies is possible;Sample map :[
    ('DUMP_NAME_KEY', {
        'use_natural_key': true,
        'models': 'mymodel',
        'exclude_models': 'my_excluded_model',
        'dependancies': [],
    }),
]Where :DUMP_NAME_KEYIs the dump entry name, can be anything but commonly this is the app
package name, this is what is used in embedded map files.use_natural_keyA boolean to define if the dump can use natural key, if not defined, a dump
entry is assumed to support natural key.modelsIs either a string of the model name or a list model names. Django accept
either an app name from which it will take all its models, or a specific
app model.exclude_modelsIs either a string of the model name or a list model names. It will exclude
all those models from the dumpdata command.dependanciesEither a string of another dump names to depends of. They will be taken
also even if they haven’t been explicitely requested from user.CodecDrDump will use a dump codec to tranform the list of dump instructions (models
or apps to dump, excluded models, usage of natural keys) into actions: actual
call of management commands or script generation.Loading dataDrDump will generate a manifest file with the list of the fixtures it
has generated.DrDump can automate the process of loading the data it has generated. The
Python module drdump.load can load the manifest:python -m drdump.load <manifest file>The management command dr_load does the same thing:manage.py dr_load <manifest>DjangoDrDump provides a management command to launch the dump or generate the dump
commands:manage.py dr_dump ...It will take command line arguments that defaults to settings.DRDUMP_MAP_FILEThe path to the map fileDRDUMP_OTHER_APPSA boolean that decides if all unlisted apps are also dumpedDRDUMP_EXCLUDE_APPSA list of applications or models to exclude from the dumpDRDUMP_OPTIONSThe options of the dump codec
Package: dreadlocks
🔒dreadlocksA cross-platform file-locking software library for Python that supports
thread-level locks, process-level locks, and both simultaneously.📚 DocumentationSeeGitHub pages:UsageAPI reference👩‍💻  DevelopmentThe only external requirements are Python andpoetry.poetrytakes care of setting up a minimal environment withtoxandpre-commitinstalled.
For that run:poetryinstall--onlydevAll other environments are managed bytox(and usespoetryinternally).👕 Lintpoetryruntox-elint-check:information_source: Some linting errors can be automatically fixed withpoetry run tox -e lint.☑️ Type checkpoetryruntox-etype-check🧪 Tests:information_source: Add the-coversuffix to generate coverage
information.📦 Unit testspoetryruntox-eunit📑 Doctestspoetryruntox-edoctest☔ CoverageIf tests have been run with the-coversuffix, coverage reports can be
generated withpoetry run tox -e coverage.The HTML coverage report can be served to port8000withpoetry run tox -e coverage-serve.📜 Dependencies licensesDependencies licenses can be checked withpoetry run tox -e licenses.⚖️ LicensingThis software library is triple-licensed under the BSD 2-clause, LGPLv3 or
later, and GPLv3 or later.You must choose to be bound by at least one of these licenses when you use
this work.SPDX-License-Identifier: BSD-2-Clause OR LGPL-3.0-or-later OR GPL-3.0-or-later👀 See alsoOn the Brokenness of File LockingbyLennart Poettering.Addendum on the Brokenness of File LockingbyLennart Poettering.
Package: dreal
dReal4: SMT Solver for Nonlinear Theories of RealsPlease visithttps://github.com/dreal/dreal4.Precompiled WheelsWe provide precompiled distributions (.whl) for the following environments:macOS 11.0 / 10.15 / 10.14 + CPython 3.7Linux + CPython 3.6 / 3.7 / 3.8 / 3.9You still need to install dReal prerequisites such as IBEX and CLP in
your system. To install them, please follow the instructions below:macOS 11.0 / 10.15 / 10.14brew tap dreal-deps/ibex
brew tap dreal/dreal
brew install dreal --only-dependenciesUbuntu 20.04 / 18.04curl -fsSL https://raw.githubusercontent.com/dreal/dreal4/master/setup/ubuntu/`lsb_release -r -s`/install.sh | sudo bashBuild from SourceIfpipfails to find a precompiled distribution, it fetches dReal
source and build it from scratch. You need to install the required
packages to do so. To install them, please follow the instructions
below:macOS 11.0 / 10.15 / 10.14brew tap dreal-deps/ibex
brew tap dreal/dreal
brew install dreal --only-dependencies --build-from-sourceUbuntu 20.04 / 18.04curl -fsSL https://raw.githubusercontent.com/dreal/dreal4/master/setup/ubuntu/`lsb_release -r -s`/install_prereqs.sh | sudo bash
Package: dreambox
# Dream Media DreamboxUsing Enigma2:WebInterface REST API to control decoder.
Library to control Dream Media Dreambox.
Tested on DM800 HD se
Please let me know if it works on other models too### Methods##### get_current_channel
- Get’s current channel name e2servicename##### get_current
Gets following info for the current channel:e2servicenamee2providernamee2servicevideosizee2eventservicereferencee2eventnamee2eventdescriptionextended##### get_audio_status
Returns following data:workedvolume_statusmute_status##### get_audio_tracks
Lists info about current audio trackse2audiotrackdescriptione2audiotrackide2audiotrackpide2audiotrackactive##### recording_list
Returns list of recordings in dictionary format##### volume_set
Set’s volume to requested value and returns:
- confirmation
- volume_status
- mute_status##### goto_channel
Sets channel to  channel ###### record_now
Set’s recording timmer to record current program##### get_timerlist
Returns information about timer:
- e2servicereference
- e2servicename
- e2name
- e2timebegin
- e2timeend
- e2duration##### timer_cleanup
Clears timers, returns e2statetext##### recording_delete
Requires e2servicereference
Deletes movie from the disk##### del_timer
Requires (timer_id, begin, end)
Deletes the timer##### stream_curent_channel
Returns m3u playlist for current channel##### change_audio_channel
Requires track_nr
Switching audio channel to track_nr##### volume_up
Sets volume up##### volume_down
Sets volume down##### mute
Muts audio##### ok
Button OK##### power
Power toggle##### info
Button info##### pause
Pause button##### play
Play button##### exit
Exit button
Package: dreamboxapi
[![Python package](https://github.com/sreichholf/python-dreamboxapi/workflows/Python%20package/badge.svg?branch=master)](https://github.com/sreichholf/python-dreamboxapi/actions)[![PyPi](https://img.shields.io/pypi/v/dreamboxapi.svg)](https://pypi.python.org/pypi/dreamboxapi)### A python client library for dreamboxes using requests### Super simple example` { .py } from dreamboxapi.api import DreamboxApi api =DreamboxApi(host="my.dreambox.local")print(api.current.name) `
Package: dreamFilter
dreamFilterDescription.The package dreamFilter is used to:Filter:Apply the dream filter in one or two imagesCompare:Compare if two images are equalInstallationUse the package managerpipto install dreamFilterpipinstalldreamFilterUsagefromdreamFilterimporttools,filter# Opening the two example picturesimg1=tools.open_img("example_img1.jpg")img2=tools.open_img("example_img2.jpg")# Comparing two images:# 1print("# Comparing the first image with the second:\n")print("\t- Different")iftools.equal(img1,img2)isFalseelseprint("\t- Equal")# 2print("\n# Comparing the first image with herself:\n")print("\t- Different")iftools.equal(img1,img1)isFalseelseprint("\t- Equal")# Filter:# 1print("\n# Filtering first image by second:\n")filter.dream_filter(img1,img2,'filtered_img1+2')print("\t- Done.")# 2print("\n# Filtering the first image with itself:\n")filter.dream_filter(img1,img1,'filtered_img1+1')print("\t- Done.")AuthorBruno CalegariLicenseMIT License

Copyright (c) [2022] [Bruno da Costa Calegari]

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Package: dreamnet
DreamNetDreamNet is a simple text-based toy that lets you interact with nodes onConceptNet.After installing, you can enter the program from the command line using 'dreamnet'. You will be presented with a scene populated by a few objects. You can type the name of any object in the scene to interact with it, and type 'dream' to visit a new scene. Interacting with objects will create new items to interact with, ad infinium. Have fun and sleep tight!
Package: dreamtim
This is a collection of useful tools for analytics, statistics and data science. At the moment, only test modules are available:calculatorstatistical_toolsInstallationpip install dreamtimUsagefromdreamtim.calculatorimportCalculatorcalc_obj=Calculator(5)calc_obj.add(3)# returns 8.0Module calculatorThis module contains just one class -Calculator. Its attributes:value, float: "memory" of the calculatorshow_value, bool: determines whether print messages about the current value in the calculator when performing arithmetic operations (default is False)show_operation, bool: determines whether print messages about the perfomed operation (default is False)round_number, int: the number of decimal places in numbers in the messages and in a string representation (default is 2)For complete documentation, please, check this page:https://ryko.tk/dreamtim/
Package: dreamtools
Python version:DREAMTools is supported for Python 2.7, 3.4 and 3.5.
Pre-compiled versions are available for Linux and MAC platforms through Anaconda
and thebiocondachannel.Note about coverage:We do not run the entire test suite on Travis, which
reports a 40% test coverage. Note however, that the actual
test coverage is about 80%.Contributions:Please joinhttps://github.com/dreamtools/dreamtoolsOnline documentation:On readthedocsIssues and bug reports:On githubHow to cite:Cokelaer T, Bansal M, Bare C et al. DREAMTools: a Python
package for scoring collaborative challenges [version 1; referees:
awaiting peer review] F1000Research 2015, 4:1030
(doi: 10.12688/f1000research.7118.1)F1000 linkContentsOverviewInstallationUsageAvailable challenges, templates and gold standardsOverviewMotivationDREAMToolsaims at sharing code used in the scoring ofDREAMchallenges that pose fundamental questions about system biology and translational medicine.The main goals ofDREAMToolsare to provide:Scoring functions equivalent to those used during past DREAM challenges forend-usersvia a standalone application (calleddreamtools).A common place fordevelopersinvolved in the DREAM challenges to share codeDREAMToolsdoes not provide code related to aggregation,
leaderboards, or more complex analysis even though such code
may be provided (e.g., in D8C1 challenge).Note that many scoring functions requires data hosted onSynapse. We therefore strongly encourage you toregister to Synapse. Depending on the challenge, you may be requested to accept terms of agreements to use the data.InstallationFor those familiar with Python, you may use thepip executableprovided with Python. It will install the latest release ofDREAMToolsand the dependencies:pip install cython
pip install dreamtoolsIf you are not familiar with compilation and/or Python, you may usecondasince we have pre-compiled packages with a conda channel calledbioconda:conda config --add channels r
conda config --add channels bioconda
conda install dreamtoolsSeeInstallation section on RTDfor details.UsageDREAMToolscan be used by developers as a Python package:>>> from dreamtools import D6C3
>>> s = D6C3()
>>> s.score(s.download_template())
{'results': chi2            53.980741
R-square        34.733565
Spearman(Sp)     0.646917
Pearson(Cp)      0.647516
dtype: float64}A standalone application can be used from a terminal. The executable is calleddreamtools. Here is an example:dreamtools --challenge D6C3 --submission path_to_a_fileSeeonline documentation onfor more details
and examples. The source code also provides a set of IPython/Jupyter notebooks.Available challenges, templates and gold standardsDREAMToolsincludes about 80% of DREAM challenges from DREAM2 to DREAM9.5
Please visitF1000 link(Table 1).All gold standards and templates are retrieved automatically. Once downloaded, you
can obtain the location of a gold standard or template as follows:dreamtools --challenge D6C3 --download-gold-standard
dreamtools --challenge D6C3 --download-templateSeeonline documentation on RTDfor details.
Package: dream-tools
DREAM-toolsA collection of tools used bythe Danish institute for economic modelling and forecasting, DREAM.Gams-PandasA wrapper around theGAMS Python apito move smoothly between GAMS andPandas.
GAMS parameters are represented as Pandas Series, using a MultiIndex in cases of multiple sets.
The level value of variables are represented in the same way. GAMS sets are represented as Pandas Index to facilitate easy use of label based indexing.Excel-gdxAccess GAMS gdx files directly from Excel usingxlwings.PlottingDREAM-tools contains a number of plotting features based onplotly.gamYA pre-processor for GAMS files implementing a number of additional features.
Package: dreamtools-dreamgeeker
DreamtoolsLibrairies de fonctions aide au développementVous pouvez télécharger depuis notre dépôt Github:DreamtoolsLire la documentation|Télécharger documentationPaquets dépendantsEnvironnement Python 3.8cerberuspyamlpillowpycrypt(Module Krypt uniquement sous Linux)requestsInstallation$ pip install [--upgrade] dreamtools-dreamgeeker
$ tools-installerConfigurationimport dreamtools

dreamtools.config(appname='project', mode='prod')  # Utilise les information contenu dans .ENV MODE DEVELOPMENT ou PRODUCTION | PROJECT_NAMEInformationsGénération documentationhtml : sphinxpdf : rinohtypeCouleur West ITConception & Réalisation de solutions numériques adaptéesAccompagement au changementUn conseil, un avis, une expertisesEcrivez-nous par mail|Par TelegramBy dreamgeeker © 2020 Couleur West IT