Saravanan666/pypi-org huggingface dataset:
Package: crosys
Welcome to crosys DocumentationLikesixis for python2/3 compatibility, crosys (cross system) is for Windows/MacOS/Linux Compatibility.Quick LinksGitHub HomepagePyPI downloadInstallInstallcrosysis released on PyPI, so all you need is:$pipinstallcrosysTo upgrade to latest version:$pipinstall--upgradecrosysUsage>>>importcrosys>>>corsys.WINDOWSTrue>>>crosys.MACOSFalse>>>crosys.LINUXFalse>>>crosys.SP_PATH# site-packages pathC:\Python34\lib\site-packages>>>crosys.PROGRAM_FILES_64C:\ProgramFiles>>>crosys.PROGRAM_FILES_32C:\ProgramFiles(x86)
Package: crotal
A static site framework. Fast, powerful, and easy as 1, 2, 3.Homepage:crotal.orgPyPI:pypi.python.org/pypi/crotalInstallationvia pip:$ (sudo) pip install crotalvia github:$ git clone https://github.com/dinever/crotal.git
$ cd crotal
$ (sudo) python setup.py installUsage$ crotal init my_site && cd my_site
$ crotal generate
$ crotal serverNow the website is available athttp://localhost:1124.DocumentsSeecrotal.org.LicenseGPL Licenses
Package: croud
Croudis acommand-line interface(CLI) tool forCrateDB Cloud☁.InstallationUsing pipcroudcan be installed usingpip:$ python3 -m pip install --user -U croudTo update, run:$ pip install -U croudContributingThis project is primarily maintained byCrate.io, but we welcome community
contributions!See thedeveloper docsand thecontribution docsfor more information.HelpRead theproject docsLearn aboutCrateDB CloudCheck out oursupport channels
Package: croudtech-ecs-tools
croudtech-ecs-toolsTools for managing ECS Services and TasksInstallationInstall this tool usingpip:$ pip install croudtech-ecs-toolsUsageUsage: python -m croudtech_ecs_tools.cli [OPTIONS] COMMAND [ARGS]...Tools for managing ECS Services and TasksOptions:
--version  Show the version and exit.
--help     Show this message and exit.Commands:
ecs-shell
croudtech-ecs-toolsDevelopmentTo contribute to this tool, first checkout the code. Then create a new virtual environment:cd croudtech-ecs-tools
python -m venv venv
source venv/bin/activateOr if you are usingpipenv:pipenv shellNow install the dependencies and test dependencies:pip install -e '.[test]'To run the tests:pytest
Package: croutera
# Croutera [![PyPI version](https://badge.fury.io/py/croutera.svg)](https://badge.fury.io/py/croutera) [![Build Status](https://travis-ci.org/cristianoliveira/croutera.svg)](https://travis-ci.org/cristianoliveira/croutera)
Simple Cli Router Admin (CR*outer*A).The missing CLI for common Routers actions like login, restart , list clientes, log, etc.## Motivation
Almost all of tools I am used to use have a CLI to handle their functionality
but my WiFi router haven’t. Croutera comes to supply this missing CLI for this
kind of WiFi routers/modems.## Installing`bash pip install croutera `### From Source
Clone this repo and inside this folder do:`bash make setup && make install `## Using`bash croutera-h`## Commands
The current commands#### Show models available`bash croutera-list-models`#### Restart`bash croutera-restart[model] [username] [password] `#### Show Wifi Password`bash croutera-wifi-pass[model] [username] [password] `You can set this params in Environment Variables:`ROUTER_MODEL=dlink-dir610ROUTER_IP=10.0.0.1 ROUTER_USERNAME=admin ROUTER_PASSWORD=admin `# ContributingSuggesting new routers to be added.Adding new routers. See [Routers](https://github.com/cristianoliveira/croutera/blob/master/croutera/models/base.py) to get the router interface you should implement.Creating issues/requests/bug fixesAdding Unit TestsUsing! And sending feedback.## Code ContributeFork it!Create your feature branch:git checkout -b my-new-featureCommit your changes:git commit -am ‘Add some feature’Push to the branch:git push origin my-new-featureSubmit a pull requestPull Request should have unit tests## How to test my Implementation?See the online simulators available. [Simulators](https://github.com/cristianoliveira/croutera/issues/11)### Routers available:Cisco:
- DPC3928S / EPC3928:http://www.cisco.com/web/consumer/support/modem_dpc3928.htmlDlink:
- DR610:http://www.dlink.com.br/produto/dir-610-a1TpLink:
- WR340G:http://www.tp-link.com.br/products/details/?model=TL-WR340G- WR720N:http://www.tp-link.com.br/products/details/?model=TL-WR720N- And all TL-WR* based router using ‘tplink-tl-wrbased’MIT License
Package: crowbar-reference-compiler
the reference compiler for theCrowbarlanguage.requirements:QBEinstalled somewhere on your PATHgccusage (i probably will forget to update this socheck directly):usage: crowbarc-reference [-h] [-V] [-g] [--stop-at-parse-tree]
                          [--stop-at-qbe-ssa] [-S] [-c] [-D DEFINE_CONSTANT]
                          [-I INCLUDE_DIR] [-o OUT]
                          input

The reference compiler for the Crowbar programming language

positional arguments:
  input                 input file

optional arguments:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  -g, --include-debug-info
  --stop-at-parse-tree
  --stop-at-qbe-ssa
  -S, --stop-at-assembly
  -c, --stop-at-object
  -D DEFINE_CONSTANT, --define-constant DEFINE_CONSTANT
                        define a constant with some literal value
  -I INCLUDE_DIR, --include-dir INCLUDE_DIR
                        folder to look for included headers within
  -o OUT, --out OUT     output file
Package: crowd4py
All rights reserved.Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.Description: Crowd4py: Crowd4u for Python!============================API client for Crowd4u (http://crowd4u.org/ja/).## Installation```git clone https://github.com/crowd4u/crowd4py.gitcd crowd4pypython setup.py installpython setup.py test```## Usage```cd sample/# create config.inipython 01_Phase1-algorithm-sample.py```## RequirementPython >= 3.5Platform: UNKNOWNClassifier: Development Status :: 3 - AlphaClassifier: Intended Audience :: DevelopersClassifier: License :: OSI Approved :: BSD-2 LicenseClassifier: Programming Language :: Python :: 3.5
Package: crowdai-api
crowdAI APIpython client for server side API of thecrowdai.orgwebapp.Free software: GNU General Public License v3Documentation:https://crowdai-api.readthedocs.io.InstallationDeploymentpipinstallgit+https://github.com/crowdAI/crowdai_api.gitDevelopmentgitclonehttps://github.com/crowdAI/crowdai_apicdcrowdai_api
pipinstall-rrequirements_dev.txt
pipinstall-e.UsageInstantiate API objectfromcrowdai_apiimportAPIasCROWDAI_APIauth_token="<YOUR CROWDAI AUTH TOKEN>"api=CROWDAI_API(auth_token)Authenticate participantwithAPI_KEYapi.authenticate_participant(EXAMPLE_API_KEY)withusernameapi_key=api.authenticate_participant_with_username("spMohanty")Get all Submissionschallenge_id="test_challenge"submissions=api.get_all_submissions(challenge_id)print(submissions)Create Submissionchallenge_id="test_challenge"submission=api.create_submission(challenge_id)print(submission)# Output# ========================================# CrowdAISubmission	:	5261# 	challenge_id	:	test_challenge# 	round_id	:	False# 	score	:	False# 	score_secondary	:	False# 	grading_status	:	submitted# 	message	:# ========================================Get submissionsubmission_id=5262challenge_id="test_challenge"submission=api.get_submission(challenge_id,submission_id)Update submissionAssuming you have asubmissionobject by usingapi.create_submissionorapi.get_submission.
You can update the submission by :# Update paramssubmission.grading_status="graded"submission.score=0.98submission.score_secondary=0.98submission.update()print(submission)# Output## ========================================# CrowdAISubmission	:	5262# 	challenge_id	:	test_challenge# 	round_id	:	False# 	score	:	0.98# 	score_secondary	:	0.98# 	grading_status	:	graded# 	message	:# ========================================Tests# Setup the environment varriablescpenviron.sh.exampleenviron.sh# Then modify the respective environment variablessourceenviron.sh
pyteststests/AuthorS.P.Mohantysharada.mohanty@epfl.ch
Package: crowdcount
Crowd Counting Packagecrowdcountis a library for crowd counting withPytorchand supported byFudan-VTS ResearchSourcecode:https://github.com/FDU-VTS/crowd-countdocument:https://crowd-count.readthedocs.io/en/latest/Installpip install crowdcount --user --upgradeIntroductionCrowd counting task:estimate the number of crowdUser guide:modelsfrom crowdcount.models import * 
 # crowd counting models includes csr_net, mcnn, resnet50, resnet101, unet, vggtransformsimport crowdcount.transforms as cc_transforms
 # transformsdata_loaderfrom crowdcount.data.data_loader import *
 # includes ShanghaiTech, UCF_QNRF, UCF_CC_50, Fudan-ShanghaiTech temporarilydata_preprocessfrom crowdcount.data.data_preprocess import *
 # gaussian preprocess for datasetsutilsfrom crowdcount.utils import *
 # includes loss functions, optimizers, tensorboard and save functionenginefrom crowdcount.engine import train
 # start to train
 train(*args, **kwargs)More details indocumentDemofrom crowdcount.engine import train
from crowdcount.models import Res101
from crowdcount.data.data_loader import *
from crowdcount.utils import *
import crowdcount.transforms as cc_transforms
import torchvision.transforms as transforms

# init model
model = Res101()
# init transforms
img_transform = transforms.Compose([transforms.ToTensor(),
                                    transforms.Normalize(mean=[0.452016860247, 0.447249650955, 0.431981861591],
                                                         std=[0.23242045939, 0.224925786257, 0.221840232611])
                                    ])
gt_transform = cc_transforms.LabelEnlarge()
both_transform = cc_transforms.ComplexCompose([cc_transforms.TransposeFlip()])
# init dataset
train_set = ShanghaiTechDataset(mode="train",
                                part="b",
                                img_transform=img_transform,
                                gt_transform=gt_transform,
                                both_transform=both_transform,
                                root="/home/vts/chensongjian/CrowdCount/crowdcount/data/datasets/shtu_dataset_sigma_15")
test_set = ShanghaiTechDataset(mode="test",
                               part='b',
                               img_transform=img_transform,
                               root="/home/vts/chensongjian/CrowdCount/crowdcount/data/datasets/shtu_dataset_sigma_15")
# init loss
train_loss = AVGLoss()
test_loss = EnlargeLoss(100)
# init save function
saver = Saver(path="../exp/2019-12-22-main_sigma15_6")
# init tensorboard
tb = TensorBoard(path="../runs/2019-12-22-main_sigma15_6")
# start to train
train(model, train_set, test_set, train_loss, test_loss, optim="Adam", saver=saver, cuda_num=[3], train_batch=2,
      test_batch=2, learning_rate=1e-5, epoch_num=500, enlarge_num=100, tensorboard=tb)you can find more demos indemoExperimentswe will add the results soonThanks for the supports fromC-3-FrameworkCSRNetAwesome-Crowd-Counting
Package: crowdedText
crowdedText=========================*A small library for automatically adjusting text position in matplotlib plots to minimize overlaps (forked and modified from Phlya's adjustText)*.Usage========.. todo::- add usageDocumentation=============Documentation for crowdedText is hosted by `Read the Docs <http://crowdedText.readthedocs.org/en/stable/>`__ (last `stable version <http://crowdedText.readthedocs.org/en/stable/>`__ and `latest version <http://crowdedText.readthedocs.org/en/latest/>`__).Installation============The easiest way to install crowdedText us to use ``pip``:.. code:: bashpip install crowdedTextOr you can clone the `github repo <https://github.com/thespacedoctor/crowdedText>`__ and install from a local version of the code:.. code:: bashgit clone git@github.com:thespacedoctor/crowdedText.gitcd crowdedTextpython setup.py installTo upgrade to the latest version of crowdedText use the command:.. code:: bashpip install crowdedText --upgradeDevelopment-----------If you want to tinker with the code, then install in development mode.This means you can modify the code from your cloned repo:.. code:: bashgit clone git@github.com:thespacedoctor/crowdedText.gitcd crowdedTextpython setup.py develop`Pull requests <https://github.com/thespacedoctor/crowdedText/pulls>`__are welcomed!Issues------Please report any issues`here <https://github.com/thespacedoctor/crowdedText/issues>`__.License=======Copyright (c) 2016 David YoungPermission is hereby granted, free of charge, to any person obtaining acopy of this software and associated documentation files (the"Software"), to deal in the Software without restriction, includingwithout limitation the rights to use, copy, modify, merge, publish,distribute, sublicense, and/or sell copies of the Software, and topermit persons to whom the Software is furnished to do so, subject tothe following conditions:The above copyright notice and this permission notice shall be includedin all copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESSOR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OFMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANYCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THESOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: crowdin-api-client
Crowdin Python clientThe Crowdin Python client is a lightweight interface to the Crowdin API. It provides common services for making API requests.Crowdin API is a full-featured RESTful API that helps you to integrate localization into your development process. The endpoints that we use allow you to easily make calls to retrieve information and to execute actions needed.API Client Docs|Crowdin API|Crowdin Enterprise APIInstallationpip install crowdin-api-clientQuick StartCreate and list projectsfromcrowdin_apiimportCrowdinClientclassFirstCrowdinClient(CrowdinClient):TOKEN="__token__"PROJECT_ID=1# Optional, set project id for all API'sORGANIZATION="organizationName"# Optional, for Crowdin Enterprise onlyTIMEOUT=60# Optional, sets http request timeout.RETRY_DELAY=0.1# Optional, sets the delay between failed requestsMAX_RETRIES=5# Optional, sets the number of retriesHEADERS={"Some-Header":""}# Optional, sets additional http request headersPAGE_SIZE=25# Optional, sets default page sizeEXTENDED_REQUEST_PARAMS={"some-parameters":""}# Optional, sets additional parameters for requestclient=FirstCrowdinClient()# Create Projectproject_response=client.projects.add_project(name="New project",sourceLanguageId="en")# Get list of Projectsprojects=client.projects.list_projects()# Get list of Projects with offset and limitprojects=client.projects.list_projects(offset=10,limit=20)# Get list of Projects by pageprojects=client.projects.list_projects(page=2)# offset=25, limit=25Alternatively, you can create an instance of the CrowdinClient class with params like this:fromcrowdin_apiimportCrowdinClient# use the lower-case version of any of the constants above,# at least provide tokenclient=CrowdinClient(token='__token__')# ... continue as aboveAdd a filefromcrowdin_apiimportCrowdinClientclient=CrowdinClient(token='__token__')file_name='__path_to_the_file__'storage=client.storages.add_storage(open(file_name,'rb'))my_file=client.source_files.add_file(__project_id__,storage['data']['id'],file_name)print(my_file)Fetch all recordsIt is possible to fetch all records from paginatable methods (where we have limit and offset in arguments).fromcrowdin_apiimportCrowdinClientclient=CrowdinClient(token='__token__')# get all projectsprint(client.projects.with_fetch_all().list_projects())# get projects but not more than 1000print(client.projects.with_fetch_all(1000).list_projects())Seeking AssistanceIf you find any problems or would like to suggest a feature, please read theHow can I contributesection in our contributing guidelines.ContributingIf you would like to contribute please read theContributingguidelines.LicenseThe Crowdin Python client is licensed under the MIT License.
See the LICENSE file distributed with this work for additional
information regarding copyright ownership.

Except as contained in the LICENSE file, the name(s) of the above copyright
holders shall not be used in advertising or otherwise to promote the sale,
use or other dealings in this Software without prior written authorization.
Package: crowdin-client
A client for theCrowdinAPI which lets you push source translations to
crowdin and pull translated content.Installation(sudo) pip install crowdin-clientIf you don’t havepip:(sudo) easy_install pip
(sudo) pip install crowdin-clientIf you don’t even haveeasy_installon windows, get the.exeathttp://pypi.python.org/pypi/setuptools, install it, addc:\Python2x\Scriptsto the Windows path (replace Python2x with the correct directory).ConfigurationCreate a.crodwinJSON file in your root project directory with the
following structure:{
    "project_name": "crowdin project name",
    "api_key": "project API key",
    "localizations": [
        {
            "source_path": "locale/en/LC_MESSAGES/django.po",
            "remote_path": "path/to/django.po",
            "target_langs": {
                "fr": "locale/en/LC_MESSAGES/django.po",
                "de": "locale/de/LC_MESSAGES/django.po",
                "it": "locale/it/LC_MESSAGES/django.po"
            }
        },
        {
            "source_path": "locale/en/LC_MESSAGES/*.po",
            "excluded" : "_*, ~*",
            "remote_path": "path/to/",
            "target_langs": {
                "fr": "locale/en/LC_MESSAGES/",
                "de": "locale/de/LC_MESSAGES/",
                "it": "locale/it/LC_MESSAGES/"
            }
        }
    ]
}The second entry in the json is to use a complete directory as translation source / destination.
Useful for documentation. DO NOT FORGET the trailing slash for directories.UsagePush source files:crowdin pushPull translations:crowdin pullIf you’re importing a project with existing translations to crowdin, runcrowdin push-ato also upload the local target files to crowdin. The-aflag should only be used once, you must then use the push / review /
pull workflow provided by Crowdin.Changelog0.3: Added support for wildcard character to manage folders in translations0.2: Added-aflag tocrowdin push.0.1: initial version.
Package: crowd-kit
Crowd-Kit: Computational Quality Control for CrowdsourcingCrowd-Kitis a powerful Python library that implements commonly-used aggregation methods for crowdsourced annotation and offers the relevant metrics and datasets. We strive to implement functionality that simplifies working with crowdsourced data.Currently, Crowd-Kit contains:implementations of commonly-used aggregation methods for categorical, pairwise, textual, and segmentation responses;metrics of uncertainty, consistency, and agreement with aggregate;loaders for popular crowdsourced datasets.Also, thelearningsubpackage contains PyTorch implementations of deep learning from crowds methods and advanced aggregation algorithms.InstallingTo install Crowd-Kit, run the following command:pip install crowd-kit. If you also want to use thelearningsubpackage, typepip instal crowd-kit[learning].If you are interested in contributing to Crowd-Kit, usePipenvto install the library with its dependencies:pipenv install --dev. We usepytestfor testing.Getting StartedThis example shows how to use Crowd-Kit for categorical aggregation using the classical Dawid-Skene algorithm.First, let us do all the necessary imports.fromcrowdkit.aggregationimportDawidSkenefromcrowdkit.datasetsimportload_datasetimportpandasaspdThen, you need to read your annotations into Pandas DataFrame with columnstask,worker,label. Alternatively, you can download an example dataset:df=pd.read_csv('results.csv')# should contain columns: task, worker, label# df, ground_truth = load_dataset('relevance-2')  # or download an example datasetThen, you can aggregate the workers' responses using thefit_predictmethod from thescikit-learnlibrary:aggregated_labels=DawidSkene(n_iter=100).fit_predict(df)More usage examplesImplemented Aggregation MethodsBelow is the list of currently implemented methods, including the already available (✅) and in progress (🟡).Categorical ResponsesMethodStatusMajority Vote✅One-coin Dawid-Skene✅Dawid-Skene✅Gold Majority Vote✅M-MSR✅Wawa✅Zero-Based Skill✅GLAD✅KOS✅MACE✅BCC🟡Multi-Label ResponsesMethodStatusBinary Relevance✅Textual ResponsesMethodStatusRASA✅HRRASA✅ROVER✅Image SegmentationMethodStatusSegmentation MV✅Segmentation RASA✅Segmentation EM✅Pairwise ComparisonsMethodStatusBradley-Terry✅Noisy Bradley-Terry✅Learning from CrowdsMethodStatusCrowdLayer✅CoNAL✅CitationUstalov D., Pavlichenko N., Tseitlin B.Learning from Crowds with Crowd-Kit. 2023. arXiv:2109.08584 [cs.HC].@misc{CrowdKit,author={Ustalov, Dmitry and Pavlichenko, Nikita and Tseitlin, Boris},title={{Learning from Crowds with Crowd-Kit}},year={2023},publisher={arXiv},eprint={2109.08584},eprinttype={arxiv},eprintclass={cs.HC},url={https://arxiv.org/abs/2109.08584},language={english},}Questions and Bug ReportsTo report a bug, post an issue on theToloka/bugreportpage.To find answers to common questions or start a new discussion, join our English-speakingSlack community.License© Crowd-Kit team authors, 2020–2023. Licensed under the Apache License, Version 2.0. See LICENSE file for more details.