Saravanan666/pypi-org huggingface dataset:
Package: evernote2
Evernote2 -- another Evernote SDK for PythonWhy Evernote2?the official evernote sdk for python is not that good.evernote2 Features:improved sdk with example code. python 3.x supportedCommand Line ToolsBackup ALL notes. download all notes content(index.enex), metadata(metadata.json) and resources(images/video)Quick Starttested in Python 3.7.7Installpypi page:https://pypi.org/project/evernote2/pipinstallevernote2SDK API usageexample code:evernote2/sampleCommand Line ToolsBackup ALL notesfirst,  get aTEMPDeveloper Token fromhttps://app.yinxiang.com/api/DeveloperToken.action]then, runpython-mevernote2.tools.export_notes--china--token=<your-token>the downloaded file structure is designed to be used by other tools easily.
such as sync with wordpress, feed to a NLP engine.example:$lsnotes-exported/
note_book_meta.csvnote-enexnote_meta.csv

$treenotes-exported/note-enex/
notes-exported/note-enex/
├──note-00453956-54a2-4a72-b979-5dec0fd20174
│├──index.enex
│├──metadata.json
│└──resources
│├──0ee254e6498301cfb04213eda2c391d3.png
│├──1093bc62fa171eecf345eb2eb20805af.jpg
│├──11f25744e00d852ab3f6002147ac3629.png
│├──21eba20903eea2d34f0e08083806afa5.gif
│├──2cdae07424ed63a9fc5a9e03f069b839.jpg
│├──39d7b05f5d7978fc276da98437d8b024.gif
│├──442a8e6cefb5f81fdda3233cd60fdfc2.png
│├──4dcd4123c3b59ce12bf4b2a7ef058197.png
│├──64ee0f1c779d105353808954acce0a64.png
│├──6896d894a2fb332cc1f2d908958f32a8.png
│├──6a1a971805988f2ffd48dbd7eaa76d1e.png
│├──6da3ff1e412275c7bdd450a4700d3c51.png
│├──75ee364d944169e3cd016d5b814b1750.png
│├──7ff6e6855db4574a2f73a609b47967da.gif
│├──870da51a79421031a3a41bfa468c4015.png
│├──8f9881485feebfca5a2cdf2a127f747c.png
│├──9dd85cd8f8d623cf75742f66743b22c7.jpg
│├──abffe8ebc4d0dfdc1e0b4bf4d43de5d2.gif
│├──acd19b05f5b3e1b4013dcf58b2691f55.png
│├──adc828b756a58e1749ebd13b574f3cef.gif
│├──ba77c68da6df66831d53fb4d9a1f868d.png
│├──bff7ed858712ea906ce5d8979ee7c0e3.jpg
│├──c4ee3fbcd059ad3f698b81686c40da84.png
│├──cfadbad6d778b644e319210f5baebd9f.png
│├──e069f5750520c9da5e0ac0cd64a1a250.png
│├──e4728222450d86227ca3d44067849755.png
│└──ffbcfe8da6f9775912f54e232210c49b.png
├──note-008fb159-05d5-4ae2-a9a0-70886990e10d
│├──index.enex
│├──metadata.json
│└──resources
│├──0cf728535587661ec69e6c784992d01b.png
│├──1114357aa22ca38788c7633a90f71feb.png
│├──1ca06683a873bf109872e40df3637dfb.jpg
│├──2353fec8a29e8823b23de9e33af8aa08.png
│├──7a3bbb4919deb07bf213c8767392c684.jpg
│├──9014dcc411af4444b286b4451ef5821f.jpg
│├──a364ff721f2bcce78a67ec8041735d89.jpg
│├──adc29c405b88d01edb2bc158ba47163a.jpg
│├──b5b307207947a88a24f8e0b6b4259ef2.jpgUsage:$python-mevernote2.tools.export_notes--help
Usage:export_notes.py[options]Options:-h,--helpshowthishelpmessageandexit-tTOKEN,--token=TOKENevernote_api_token-oOUTPUT_DIR,--output_dir=OUTPUT_DIRdirtosavenotes-s,--sandboxusesandbox-c,--chinauseyinxiang.cominsteadofevernote.com-f,--force-deletedeleteoutput_dirifexists-mMAX_NOTES_COUNT,--max-notes-count=MAX_NOTES_COUNTmaxnotescounttodownload
Package: evernote-export
批量导出EverNote中的所有笔记印象笔记客户端中，导出笔记这个功能不能支持全量一次性导出，只能按笔记或者笔记本来导出，并且导出的笔记需要自己手工维护路径，感觉有点麻烦。本地备份一方面比较安全，另一方面如果印象笔记以后不提供服务了，可以直接将导出的文件恢复到其他笔记应用，目前大部分笔记应用都支持enex文件导入。通过使用该工具可以将笔记按笔记本组/笔记本/笔记.enex路径来导出。Token获取1.页面申请:印象笔记Evernote2.网页获取：登录印象笔记首页：安装pipinstallevernote-exportUsage$evernote-export
Usage:evernote-export[options]Options:-h,--helpshowthishelpmessageandexit-tTOKEN,--token=TOKENevernote_api_token-dDIR,--dir_path=DIRexportdirpath--sandbox_modelissandboxmodel,defaultFalse--china_userischineseuser,defaultFalse# token和导出文件路径是必选参数# 注意：指定的导出路径在运行时会先清空$evernote-export-tyour_api_token-d/home/dong/evernote--china_user导出文件示例$ tree
.
├── EverMemo
│   ├── xxxx.enex
│   ├── xxx.enex
│   └── xxx.enex
├── 大数据
│   ├── hadoop
│   │   ├──xxxx.enex
│   │   ├── xxxx.enex
│   │   └── xxxx.enex
│   ├── hbase
│   │   ├── xxxx.enex
│   │   ├── xxxx.enex
│   │   └── xxxx.enex
│   ├── hive
│   │   ├── xxxx.enex
│   │   └── xxxx.enex
│   └── spark
│       ├── xxxx.enex
│       └── xxxx.enex
└── 个人
    └── 随笔
        ├── xxx.enex
        └── xxx.enex注意事项笔记的tag未导出笔记标题中特殊字符[/\\s<>]，会被替换为下划线仅在Mac和linux系统Python2.7环境下测试过，Python3不支持
Package: evernote-to-sqlite
evernote-to-sqliteTools for converting Evernote content to SQLite. SeeBuilding an Evernote to SQLite exporterfor background on this project.InstallationInstall this tool usingpip:$ pip install evernote-to-sqliteUsageCurrently the only available command isevernote-to-sqlite enex, which converts Evernote's ENEX export files into a SQLite database.You can createan ENEX exportin the Evernote desktop application by selecting some notes (or all of your notes) and using theFile -> Export Notes...menu option.This used to be able to export everything in one go, but it looks like more recent Evernote versions only allow exporting up to fifty notes at a time, or let you export an entire notebook by right-clicking on the notebook and selecting "Export notebook...".You can convert that file to SQLite like so:$ evernote-to-sqlite enex evernote.db MyNotes.enexThis will display a progress bar and create a SQLite database file calledevernote.db.LimitationsUnfortunately the ENEX export format does not include a unique identifier for each note. This means you cannot use this tool to re-import notes after they have been updated - you should consider this tool to be a one-time transformation of an ENEX file into an equivalent SQLite database.ENEX exports also do not include details of which notebook a note belongs to.DevelopmentTo contribute to this tool, first checkout the code. Then create a new virtual environment:cd evernote-to-sqlite
python -mvenv venv
source venv/bin/activateOr if you are usingpipenv:pipenv shellNow install the dependencies and tests:pip install -e '.[test]'To run the tests:pytest
Package: evernotezimport
![evernotezimport](https://git.kotur.org/kotnik/evernotezimport/raw/master/logo.png)This package takes Evernote notebook export and imports it into Zim directory.### InstallationInstall it just for yourself:` pip install--userevernotezimport `After thatzimportcommand will be ready to help you.### UsageExport Notebook from Evernote desktop application (sadly, you can not do this from the web interface). Take that file and tellzimportwhere to expand it, somewhere in Zim directory. For example:` zimport--zim/path/to/zim/notebook/root/Everjokes /path/to/evernote/export/notebook.enex `### What’s missing?It is rough on the edges. Tags are not supported properly and Evernote HTML is just being stripped leaving you with pure text of your note.### DevelopingIt’s easy. Clone this repository and:` virtualenv .env source .env/bin/activate pip install-e. `Work on repository directly, and usezimportcommand to test. Thank you.
Package: everon
EVERON (Python Library)This module makes easier to write user command-line interfaces.everon.BaseCommandmakes use of theargparse, which is part of Python library.everon.MixinFontColoris a mixin class, which allows to render color fonts in terminal.Basic ExampleBelow, a basic example of what the custom command should look like:# whats_time.pyfromdatetimeimportdatetimeimporteveronclassWhatsTime(everon.BaseCommand):help='Display current time'defhandle(self,*args,**kwargs):current_time=datetime.now().strftime('%X')print("It's now{}".format(current_time))if__name__=='__main__':whatstime=WhatsTime()whatstime.run()See how we named our modulewhatstime.py.This command can be executed as:python -m whats_timeOutput:It's now 11:54:19Handling ArgumentsTo handle arguments in command, we should define a method namedadd_args.# rand_str.pyimportargparseimportrandomimportstringfromeveronimportBaseCommandclassRandString(BaseCommand):defadd_args(self,parser:argparse.ArgumentParser):parser.add_argument('length',type=int,help='Indicates length of string')parser.add_argument('-l','--lowercase',action='store_true',help='Only get lowercase letters')defhandle(self,*args,**kwargs):string_length=kwargs.get('length')allow_lowercase=kwargs.get('lowercase')letters=string.ascii_lowercaseifallow_lowercaseelsestring.ascii_lettersprint("Random String is{}".format(''.join(random.choice(letters)for_inrange(string_length))))if__name__=='__main__':rand_str=RandString()rand_str.run()Usage:python -m rand_str 10 -lOrpython -m rand_str 10 --lowerOutputRandom String is wjaehxsnxcFont ColorWe could setting an appropriate color to the out message with the example# say_hello.pyfromeveronimportBaseCommand,MixinFontColorclassSayHello(BaseCommand,MixinFontColor):def__init__(self):MixinFontColor.__init__(self)defhandle(self,*args,**kwargs):self.print_ok('Printing text ok')self.print_err('Printing text error')print(self.text_as_link('Printing text as link'))print(self.color.LIGHTMAGENTA_EX+'Printing text with custom color')if__name__=='__main__':foo=SayHello()foo.run()Checking with the following commandpython -m say_helloOutput
Package: everpay
everpay.pyPython wrappers for everpay.ioapi.Install withpip install everpayv0.1.xv0.1.x version api examplev0.1.xExamplesqueryimporteverpayapi_server='https://api-dev.everpay.io'c=everpay.Client(api_server)print(c.get_info())print(c.get_token_list())print(c.get_support_tokens())c.get_balance('0x61EbF673c200646236B2c53465bcA0699455d5FA','eth')c.get_balance('0x61EbF673c200646236B2c53465bcA0699455d5FA','ar')transferimporteverpayapi_server='https://api-dev.everpay.io'pk=''#eth accountsigner=everpay.ETHSigner(pk)#ar account#signer = everpay.ARSigner('arweave-keyfile-xxx.json')account=everpay.Account(api_server,signer)t,result=account.transfer('usdt','0x911F42b0229c15bBB38D648B7Aa7CA480eD977d6',10**6)print(t.ever_hash)print(result)bundlesee example/bundle_tx.pytoken symbol or tagsometimes two token may have same token symbol in everpay. for example, usdc bridged from ethereum and usdc bridged from bsc have the same token symbol "usdc".In this case, you should use token tag, which is always unique in everpay, to call api function.importeverpayapi_server='https://api-dev.everpay.io'c=everpay.Client(api_server)# get token tag listprint(c.get_token_list())# get balance of usdc bridged from bscc.get_balance('0x61EbF673c200646236B2c53465bcA0699455d5FA','bsc-usdc-0x64544969ed7ebf5f083679233325356ebe738930')# get balance of usdc bridged from ethereumc.get_balance('0x61EbF673c200646236B2c53465bcA0699455d5FA','ethereum-usdc-0xf044320bcc3cd1f6100cd197754c71941469e79c')todo[] deposit/withdraw
Package: ever-playground
ever-playgroundA tool alternative to Fift: play with Cells, Slices, Builders, and Dictionaries — native types of TVM; assemble and run TVM code.Using the packagepip3 install ever-playground
python3
Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from ever_playground import Cell as C
>>> print(C("abc_", C("def8_")))
C("abc_",
    C("def"))Running examples in dev modepython3 -m venv .venv
source .venv/bin/activate
pip install maturin
maturin develop
python3 run-examples.py
Package: everstdin
The note of evernote will be created if standard input is passed to everstdin.$ echo 'Note Content' | everstdin
$ tail -f /var/log/access_log | everstdin -t 'apache access log'
$ cat /etc/nginx/nginx.conf | everstdin --tags nginx,config --notebook linux
$ everstdin -t 'localhost hosts file' < /etc/hostsIf you specify a file name in the option, it is saved as an attachment.$ cat ~/Desktop/aaa.jpg | everstdin -t aaa -f aaa.jpg
$ < ~/Desktop/bbb.png everstdin -f bbb.png
$ curl http://wwwimages.adobe.com/www.adobe.com/content/dam/Adobe/en/legal/licenses-terms/pdf/Reader_11_0_jp.pdf | everstdin -f Adobe.pdf
$ curl http://www.python.jp/images/pyjug.png | everstdin -f python.png --tags python
Package: everstone
everstoneA simple database query generator.This project is still in active develpment and is not ready of usage.InstallationpipinstalleverstoneRequires Python 3.9.0+UsageConnecting a Databasefromeverstoneimportdbdb.connect("test_database","user_one","abcd5432")Creating a Schema:fromeverstoneimportdbauth_schema=db.Schema("auth")awaitauth_schema.create()Resulting SQLCREATETABLEuser(user_idINTEGERPRIMARYKEY,nameTEXT);Creating a Table:fromeverstoneimportconstraints,db,typesfromeverstoneimportColumnuser_table=db.Table("user")user_table.add_columns(Column("user_id",types.Integer,constraints.PrimaryKey),Column("name",types.Text))awaituser_table.create()Resulting SQLCREATETABLEuser(user_idINTEGERPRIMARYKEY,nameTEXT);
Package: everviz
everviz: web based visualization for everestWhat is evervizeverviz is a visualization plugin for everest based ondashandwebviz-config.Download projectThe code is hosted on GitHub:https://github.com/equinor/evervizThe latest version is available onpypi.# InstallpipinstallevervizRun teststoxis used as the test facilitator,
to run the full test suite:# Testpipinstalltox
toxor to run it for a particular Python version (in this case Python 3.7):# Testpipinstalltox
tox-epy37pytestis used as the test runner, so for quicker
iteration it is possible to run:# Testpytest# or to run the tests headless:pytest--headlessthis requires that the test dependencies fromtox.iniare installed.The tests requires WebDrivers (default: Chrome), more information can be foundhere
Package: every-ai
EveryAIEveryAI intends to provide a unified interface to multiple AI services, offering a single API that consuming applications can use without needing to know the specifics of the underlying service.Currently the supported backends are:OpenAI (chat and embeddings)Anthropic (chat only)UsageTo reate an instance of an EveryAI backend, use theinitfunction:importevery_aibackend=every_ai.init("openai")Once you have a backend, you have access to methods depending on backend:response=backend.chat("Tell me a joke")embedding=backend.embed(["Embed this content"])OpenAIThe OpenAI backend supports both chat completions and embeddings. It can be initialised with a dictionary containing the following settings:api_key(required) - Your OpenAI API keychat_model(default:gpt-3.5-turbo) - The OpenAI model to be used for chat completions, e.g.gpt-4,gpt-3.5-turbo.embedding_model(default:text-embedding-ada-002) - The OpenAI model to be used for embeddings.For example, to customise the OpenAI backend to use GPT4:importevery_aibackend=every_ai.init("openai",api_key="foo-bar-baz",chat_model="gpt-4")AnthropicThe Antrophic backend only supports chat completions. It can be initialised with a dictionary containing the following settings:api_key(required) - Your Anthropic API keychat_model(default:claude-instant-1) - The Anthropic model to be used for chat completions, e.g.claude-instant-1,claude-2.For example, to customise the Anthropic backend to useclaude-2:importevery_aibackend=every_ai.init("anthropic",api_key="foo-bar-baz",chat_model="claude-2")LinksDocumentationChangelogContributingDiscussionsSecurityContributingInstallTo make changes to this project, first clone this repository:gitclonehttps://github.com/tomusher/every-ai.gitcdevery-aiWith your preferred virtualenv activated, install testing dependencies:Using pippython-mpipinstall--upgradepip>=21.3
python-mpipinstall-e.[testing]-UUsing flitpython-mpipinstallflit
flitinstallpre-commitNote that this project usespre-commit.
It is included in the project testing requirements. To set up locally:# go to the project directory$cdevery-ai# initialize pre-commit$pre-commitinstall# Optional, run all checks once for this, then the checks will run only on the changed files$gitls-files--others--cached--exclude-standard|xargspre-commitrun--filesHow to run testsNow you can run tests as shown below:toxor, you can run them for a specific environmenttox -e python3.8or specific testtox -e python3.9 every-ai.tests.test_file.TestClass.test_methodTo run the test app interactively, usetox -e interactive, visithttp://127.0.0.1:8020/admin/and log in withadmin/changeme.
Package: everybeam
EveryBeam libraryThis package can be used to compute the beam response for a variety of
radio telescopes, i.e.:LOFARSKA/OSKARATCAGMRTVLAMWAThis package also provides an abstract interface to a selection of beam responses for apperture arrays (LOFAR/OSKAR), and beamformed versions thereof. Currently implemented are:Hamaker LOFAR modelOSKAR spherical wave modelOSKAR-dipole: work in progressLOBEs: work in progress. A coefficient file is currently only available for a limited number of LOFAR stations. Selecting the LOBEs model defaults back to Hamaker, in case no coefficient file is available.EveryBeam replaces the stand alone version of the LOFAR station response library (LOFARBeam).EveryBeam is licensed under the terms of the GNU GPL3 license.Documentation and Installation InstructionsDocumentationalong withinstallation instructionscan be found at the provided links.Usage with DP3To use Everybeam withinDP3- the streaming visibility framework - DP3 needs to be compiled against EveryBeam. To do so, make sure DP3 can find EveryBeam by adding the EveryBeam install dir to theCMAKE_PREFIX_PATH.A test measurement set is included in DP3 (tNDP3-generic.in_MS.tgz).To simulate visibilities with a certain element model, useDP3 DP3.parsetwithDP3.parseta parset file with the following contents:msin=tNDP3-generic.MS
msout=.
steps=[predict]
predict.usebeammodel=True
predict.elementmodel=oskardipole
predict.sourcedb=tNDP3-generic.MS/sky  # sourcedb fileUsage with WSCleanTo use EveryBeam withWSClean(for A-term or primary beam corrections), WSClean needs to be compiled against EveryBeam. In order to do so, make sure WSClean can find EveryBeam by adding the EveryBeam install dir to theCMAKE_PREFIX_PATH.
Package: everyclient
Everysense Rest API clientRequirements:Python (2.7, 3.4, 3.5, 3.6)urllib3[secure] (1.20)Installation:Pypipip install everyclientLocalDownload packagecd everyclientpython3 setup.py installExample Usage :from everyclient import EveryClienEveryClient().auth_user([“account”,”password”])API Docs:Please follow the link below and read our API documenthttps://every-sense.github.io/everysense_api_doc/
Package: every-hello-tools-zs
这是个有趣的包，
输入语言，就能返回对应hello world的写法
比如：
ch=Choose()
ch.choose="c"
ch.print_data()result:
#include<stdio.h>
int main(void) {
printf("Hello World!
");
return 0;
}ch=Choose()
ch.choose="java"
ch.print_data()result:
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello World!");
}
}
Package: everypolitician
EveryPoliticianA Python library for easy access to EveryPolitician data. This is
essentially a Python port ofeverypolitican-ruby.This has been tested with Python 2.7 and Python 3.5.InstallationYou can install this package from PyPi with:pipinstalleverypoliticianUsageCreating a instance of theEveryPoliticanclass allows you to access
information on countries, their legislatures and legislative periods.
Each country and legislature has a slug that can be used to reference
them via thecountryandlegislaturemethods:fromeverypoliticianimportEveryPoliticianep=EveryPolitician()australia=ep.country('Australia')senate=australia.legislature('Senate')senate# => <Legislature: Senate in Australia>united_kingdom=ep.country('UK')house_of_commons=united_kingdom.legislature('Commons')american_samoa=ep.country('American-Samoa')house_of_representatives=american_samoa.legislature('House')forcountryinep.countries():printcountry.name,'has',len(country.legislatures()),'legislatures'By default this will get the EveryPolitician data and returns the most
recent data. This data is found from the index file, calledcountries.json, which links to specific versions of other data
files.If you want want to point to a differentcountries.jsonfile, you
can override the default URL by specifying thecountries_json_urlkeyword argument when creating theEveryPoliticianobject, e.g.:EveryPolitician(countries_json_url='https://cdn.rawgit.com/everypolitician/everypolitician-data/080cb46/countries.json')The example above is using a specific commit (indicated by the hash080cb46). If you want to use a local copy ofcountries.jsonyou
can create the object with thecountries_json_filenamekeyword
argument instead, e.g.:EveryPolitician(countries_json_filename='/home/mark/tmp/countries.json')For more aboutcountries.json, seethis
description.Remember that EveryPolitician data is frequently updated — see this
information aboutusing EveryPolitician
data.More information onthe EveryPolitician
site.DevelopmentAfter cloning the repo, you can run the tests on Python 2.7 and Python
3.5 by running:toxOr you can create a virtualenv and install the package’s dependencies
with:pipinstall-e.And run the tests on the Python version your virtualenv was based on
with:pytestContributingBug reports and pull requests are welcome on GitHub athttps://github.com/everypolitician/everypolitician.LicenseThe gem is available as open source under the terms of theMIT
License.
Package: everysk
Everysk APIEveryskAPI is organized around the open standard protocolREST. Our API has predictable, resource-oriented URLs, and uses HTTP response codes to indicate API errors. We use built-in HTTP features, like HTTP authentication and HTTP verbs, which are understood by off-the-shelf HTTP clients. All API responses are returned inJSON, including errors.We also have some specific language examples to make integration easier. You can switch the programming language of the examples with the tabs in the top right. You can request a Trial API Key atContact Us.InstallationUse the package managerpipto install Everysk API library:pipinstalleveryskAuthenticationThe API uses exclusive POST HTTP method to access resources URI. In the POST, you represent the arguments of methods in JSON encoded dictionary in the request body.The maximum JSON encoded payload size is 1MB. Be sure to encode the following HTTP Content-Type header for your requests: "application/json".Authenticate your account when using the API by including your secret API key in the request. Authentication to the API is performed viaHTTP Basic Authentication. In short, you will use your Everysk API Account SID as the username and your Auth Token as the password for HTTP Basic authentication. API requests without authentication will fail. You can manage your API keys in theAPI Settings. Be sure to keep your Account SID and Auth Token secret.The API is served overHTTPS. Calls made over plain HTTP will fail.Important. Make sure to replaceYOUR_ACCOUNT_SIDandYOUR_AUTH_TOKENwith your Account SID and your Auth Token.Risk Workflows for DevelopersBottom-up and top-down granular risk attribution, factor modeling and stress testing using modern math finance.API includes calculations and data: no need to purchase separate data licenses.Benefit from a flexible REST API. Customize your ideal workflow in the language of your choice, performing calculations and controlling the platform.SupportVisit our official websitehttps://everysk.comor reach out to the Everysk team atcontact@everysk.com.AnnouncementsFollow@everysktechon Twitter for announcements and updates about this library.
Package: everything2text4prompt
everything2text4promptBackground:ChatGPT and LLM is an extremely powerful tools for general purpose, but it requires text as input.
Therefore if we can convert many medium (everything) into text, LLM application can be extended to many areas.This project is to convert many medium into text, and the text format is specialized for prompt input.FeaturesConvert youtube video into text transcriptConvert podcast into text transcriptConvert pdf into dense textInstallationInstall by pypipip install everything2text4promptInstall by source codepip install -r requirements.txt
Package: everything-efu-gen
Utility for generating file lists (EFU files) for VoidTools’ search utility
Everything.It’s useful for allowing an instance of Everything to search remote storage on
non-Windows systems (e.g. Linux), without performing the indexing over the
network.RequirementsPython >= 3.4ruamel.yamlInstallationpipinstalleverything-efu-genUsage# generate configeverything-efu-gen--print-sample-config>myconfig.yaml# edit the config, then runeverything-efu-genmyconfig.yaml# this will generate a file '.everything_index.efu' in each of the directories
# specified in the configuration file.Then followthe documentation for adding these to Everything’s indexTo ensure the file lists stay up to date, schedule periodic runs using cron (or
similar).History0.0.3Support ruamel.yaml >= 0.18.00.0.2Gracefully handle insufficient permissions to stat0.0.1Gracefully handle stat on non-existant files0.0.0Initial release