Saravanan666/pypi-org huggingface dataset:
Package: tagging-system
Tagging systemOverviewThe tagging system is composed by the following major components:Preprocessors: preprocesses the input data objects before tagging.Tag ID strategies: independent strategies to identify tags from input data objectsAggregators: post-process and aggregates the tagging results from tag ID pipelines configured for each assetsHandlers: assembles preprocessor, tag ID pipelines, and result aggregation logics for each type of data sourceInput of the tagging systemCurrently, the system is implemented to receive batches of data objects from various data sources, e.g., Twitter (
implemented), Discord (TBI), Medium (TBI), Reddit (TBI), etc.PreprocessorsPreprocessors are used to preprocess the input data objects before tagging.StrategiesStrategies are used to identify tags from input (pre-processed) data objects. Strategies are expected to work independently,
and will work per-asset.AggregatorsAggregators are used to post-process and aggregate the tagging results from tag ID pipelines configured for each assets.
Cross-asset tagging strategies should also be implemented here. Aggregators are expected to have access to all outputs
from tagging strategies (asset-wise), and the input data objects.HandlersHandlers control the flows of the actual tagging process for each data source. The handler reads preprocessing pipeline
and aggregation pipeline from thedata_source_configsof global config, and reads tag identification pipelines from
ticker-specific configurations.Applying TaggingSystem in downstream logicsPreparetaggerconfigs in a JSON file, e.g.,config.json. You may find a sample in:https://github.com/MetaSearch-IO/TaggingSystem/blob/master/sample_configs/config.json. This config file contains global settings for all tickers, including: preprocessing pipeline, and ticker idenfication results aggregation pipeline. Read this config as:config=json.load(open('config.json'))Prepare a list of ticker specific configs, e.g.,ticker_configs.json. You may find a lot of prepared configs inhttps://github.com/MetaSearch-IO/TickerConfigs. Read this config as:# In this example we only read one ticker configticker_config_list=json.load(open('ticker_configs/curated_tickers/Chains/ETH.json'))Initialize aHandlerobject, and tag your data object(s) by calling it on the data object(s):fromTaggingSystem.handler.DiscordHandlerimportDiscordHandler# Init handlercrypto_ticker_tagger=DiscordHandler(config=config,ticker_config_list=ticker_config_list)# Sample data, could also be a list of dictsprocessed_data={"content":"test BTC"}# Apply Tagging Logiccrypto_tickers=crypto_ticker_tagger(processed_data)# crypto_tickers = [{'BTC': 1.0}]
Package: taggregator
taggregatorFind lines of source code you have tagged with custom categories, defined inside aconfig.jsonfile.For example, to tag a piece of code which contains a bug, write a comment as below:do_stuff()# @BUG(HIGH) buggy_code() throws an unhandled exception!buggy_code()do_more_stuff()You can then runtaggin the project root directory and it will output the file name, line number and description to the console as below.taggregator/taggregator.py  :57   # @BUG(HIGH) Throws OSError on some files if in use
taggregator/taggregator.py  :64   # @SPEED(MEDIUM) Regex search of processed line
taggregator/__main__.py     :34   # @TODO(LOW) Allow user to specify path for config fileEach line marked with a tag will be ordered and coloured by priority.
By default, there are a number of tags and priorities in the config file installed.Installation$pip3install--upgradetaggregatorInstallation will also create a config file at~/.tagg.jsonbut the program will prioritise a config file stored in{current_directory}/.tagg.jsonif it exists.RunFrom project root$taggFrom a specified folder$taggAssets/ScriptsOnly return lines marked with "speed" and "refactor"$tagg-t"speed, refactor"Create config file in current directory$taggcreate.Workflow integrationIt might be useful to bind taggregator to a key combination in a tool like vim. For example, place this in your ~/.vimrc:nnoremap <leader>t :!clear;tagg<CR>Presuming your vim leader is ',' you can then access your taggregator todo list at any time by typing ',t' while editing.
Package: tagic
tagicBuild html / xhtml with a nice syntax.Goalsgenerate html / xhtml with a nice syntaxhave typing supporthave editor support for arguments, I used MDN as a reference.KISS: no more than generationInstall>pipinstalltagicExamplefromtagic.htmlimport*print(html[head[title["Example Website"],meta(name="description",content="This is an example website build with tagic",),],body[header(id="header")[h1["Awesome"]],main[p["Some text ",span["with tags"],"in between"]],footer(hidden=True),],].render(indent=True))Will return<!DOCTYPE html><html><head><title>Example Website</title><metacontent="This is an example website build with tagic"name="description"/></head><body><headerid="header"><h1>Awesome</h1></header><main><p>Some text<span>with tags</span>in between</p></main><footerhidden/></body></html>Similar Projectsdominate: missing the typing support and editor support for argumentsdomonic: to broad of a scope, with parsing, js and style and queries.domini: missing editor support for argumentshtmler: missing the typing support and editor support for argumentsPyHTML: missing the typing support and editor support for argumentspyhtmlgen: incompletehtml: i do not like syntax and missing the typing support and editor support for argumentsMarkupPyyattag: i do not like syntaxpy-microhtml: funny tag names and no editor support for argumentspy3html: no editor support for argumentsfast-htmlpy2htmlnot in pypi, but i like the syntax and took inspiration
Package: tagil
tagilA simple dependency injection library for pythonSimple usageTo mark class as injectable use@componentannotation:fromtagilimportcomponent@componentclassInjectableClass:def__init__(self):passNow you can construct instance of this class withInjectionManager:fromtagilimportInjectionManagerinstance=InjectionManager().get_component(InjectableClass)All dependent instances from__init__will be resolved automatically if there is class annotation and@componentdecorator:fromtagilimportcomponent,InjectionManager@componentclassClassWithDependency:def__init__(self,injectable:InjectableClass):self.injectable=injectableinstance=InjectionManager().get_component(ClassWithDependency)Instance will be fully initialized.Constructor decoratorYou can assign function as a constructor function for component via@constructordecorator:fromtagilimportconstructorclassSomeDependency:passclassSomeComponent:def__init__(self,dep):self.dep=dep@constructordefsome_component(dep:SomeDependency)->SomeComponent:returnSomeComponent(dep)Functionsome_componentwill be added as constructor.
You can get its result by function name (or by decorator parametername) and by class annotation if such annotation
present.
All dependencies from constructor arguments will be resolved the same way they are resolved in__init__method.Inject directiveIn some rare cases you would like to manually set injectable components.
For that case useinjectparameter of@componentor@constructordecorators:fromtagilimportcomponent,constructor@component(inject={"dependency":"dependence_component_name",})classSomeComponent:def__init__(self,dependency):self.dependency=dependency@constructor(inject={"dependency":DependencyClass,})defsome_constructor(dependency):returnSomeAnotherComponent(dependency)In that case dependencies will be resolved by they names or classes provided in inject dictionary.post_init and pre_destroyWhen creating components tagil build initialization stack.
You can manually callInjectionManager().post_init()andInjectionManager().pre_destory()or use application
template viaApplicationbase class:fromtagilimportcomponent,Application@component()classSimpleApp(Application):defrun(self)->int:return0if__name__=="__main__":SimpleApp.main()All calls forpost_initandpre_destroymethods of components will be performed by base class.Component resolving algorythmTo define which component should be injected at instance creation tagil performs following set of rules:If injectable component name or class is set viainjectargument, tagil will search component or constructor with
that name or class.If type of argument is present:Tagil will search component or constructor with this type or with subclass type.In case of many of candidates tagil will try to use argument name as component or constructor nameIf no type information or decorator rules are set tagil will search component by argument name.
Package: taginfo
TaginfoThis project exists to access magnificenttaginfomaintained by Jochen Topf.It is a Python wrapper for a tiny part oftaginfo APIthat I use in my projects.Note that the taginfo API is intended for the use of the OpenStreetMap community. Do not use it for other services. (source)ExamplesListing popular values for keyimport taginfo

key = "landuse"
for value in taginfo.query.values_of_key(key):
    print(key, "=", value)
print()
for entry in taginfo.query.values_of_key_with_data(key):
    if(entry['count'] > 1000):
        print(key, "=", entry['value'], str(int(entry['count']/1000)) + "k")Listing popular tags unsupported by iDimport taginfo

def show_popular_tags_not_supported_by_project(project, key, excluded_values, threshold):
    expected_support = []
    cached_value_info = {}
    for entry in taginfo.query.values_of_key_with_data(key):
        if(entry['count'] > threshold):
            expected_support.append(entry["value"])
            cached_value_info[entry["value"]] = entry
    for entry in taginfo.query.tagging_used_by_project(project):
        if entry["key"] == key:
            if(entry["value"] != None):
                if entry["value"] in expected_support:
                    expected_support.remove(entry["value"])

    for entry in expected_support:
        if entry not in excluded_values:
            link = "https://taginfo.openstreetmap.org/tags/" + key + "=" + entry
            text = key + " = " + cached_value_info[entry]['value'] + " " + str(int(cached_value_info[entry]['count']/1000)) + "k"
            linked_markdown_text = "[" + text + "](" + link + ")"
            print(linked_markdown_text)

project = "id_editor"
show_popular_tags_not_supported_by_project(project, "building", ["yes"], 100_000)
show_popular_tags_not_supported_by_project(project, "shop", ["yes", "no"], 1_000)
show_popular_tags_not_supported_by_project(project, "natural", [], 6_000)
show_popular_tags_not_supported_by_project(project, "leisure", [], 5_000)
show_popular_tags_not_supported_by_project(project, "amenity", [], 5_000)
show_popular_tags_not_supported_by_project(project, "landuse", [], 5_000)
show_popular_tags_not_supported_by_project(project, "power", [], 2_000)
show_popular_tags_not_supported_by_project(project, "place", [], 10_000)
show_popular_tags_not_supported_by_project(project, "railway", ["razed", "proposed"], 5_000)
show_popular_tags_not_supported_by_project(project, "barrier", [], 3_000)
show_popular_tags_not_supported_by_project(project, "highway", ["proposed", "no"], 1_000)
show_popular_tags_not_supported_by_project(project, "tourism", [], 1_000)
show_popular_tags_not_supported_by_project(project, "waterway", [], 5_000)DevelopmentContributions are welcome to cover larger part of taginfo API.
sRun testspython3 -m unittest
Package: tagmanager
tagmanagerA Python library for tagging files.Author: Grant SavageInstallationpipinstalltagmanagerCurrent Package LimitationsThis package currently works on Mac OS X 10.9 and newer. It was developed on Mac OS X 12.2
There is currently no functionality for Linux or Windows.Package Structuretagmanager
|   README.md
|   LICENSE
|   .gitignore
|   poetry.lock
|   pyproject.toml
|───tagmanager
|   |   __init__.py
|   |   tagmanager.py
|───tests
|   |   test_tagmanager_macOS.py
|───docs
|   |   Functional_Specs.md
|   |   Design_Specs.md
|───sample_folder
|   |   sample_file.txtTutorialAdd tag to file:fromtagmanagerimporttag_managerastm>>>file_location="sample_folder/sample_file.txt"# Add tag via Tag object>>>tag=tm.Tag(name="green_tag",color="green")>>>tm.add_tag(tag,file_location)# Add tag via string>>>tm.add_tag("blue_tag\nblue",file_location)# Add colorless tag via string>>>tm.add_tag("no_color_tag",file_location)# Add tag via tuple>>>tm.add_tag(("purple_tag",'purple'),file_location)# Add multiple tags via list of tuples>>>red_list=[('first_red','red'),('second_red','red')]>>>tm.add_tag(red_list,file_location)Return tags by file:>>>tm.get_tags(file_location)[Tag("blue_tag","BLUE"),Tag("green_tag","GREEN"),Tag("no_color_tag","NONE"),Tag("purple_tag","PURPLE"),Tag("first_red","RED"),Tag("second_red","RED")]Remove tags from file:# Remove tag via Tag object>>>blue_tag=tm.Tag("blue_tag","blue")>>>tm.remove_tag(blue_tag,file_location)# Remove tag via string>>>tm.remove_tag("green_tag\ngreen",file_location)# Remove colorless tag via string>>>tm.remove_tag("no_color_tag",file_location)# Remove tag via tuple>>>tm.remove_tag(("purple_tag","purple"),file_location)# Remove multiple tags via list of tuples>>>red_list=[('first_red','red'),('second_red','red')]>>>tm.remove_tag(red_list,file_location)# Adding one tag back to show tags were removed>>>tm.add_tag("new_tag",file_location)>>>tm.get_tags(file_location)[Tag("new_tag","NONE")]
Package: tag-matcher
Tag MatcherA lightweight tag matcher for pythonSetupInstall the package via pip:pip install tag-matcherUsageFirst, import the module:import tagmatcherThen, execute tag match queries like so:is_match = tagmatcher.match(query_str="foo~bar", tags=["foo", "bar"])In this case,is_matchwill equal true.Supported Operators~: AND+: OR
Package: tagme
Official TagMe API wrapper for Python.Installation and setupThis library is hosted by PyPI. You can install it with:pip install tagmeTo access the TagMe API you have to register (for free!) at the D4Science platform and obtain an authorizationtoken.Register to theD4Science TagMe VRE.After login, click theshowbutton on the left panel to get your authorization token.Using TagMeBefore making any call to the web service, you will need to set the module-wiseGCUBE_TOKENvariable. You can do so with:importtagme# Set the authorization token for subsequent calls.tagme.GCUBE_TOKEN="<Your token goes here>"As an alternative to setting the module-wise variable, you can pass the token at each call with the optionalgcube_tokenparameter.AnnotationThe annotation service lets you find entities mentioned in a text and link them to Wikipedia.
This is the so-called Sa2KB problem. You can annotate a text with:lunch_annotations=tagme.annotate("My favourite meal is Mexican burritos.")# Print annotations with a score higher than 0.1foranninlunch_annotations.get_annotations(0.1):printannTheannotatemethod accepts parameters to set the language (parameterlang, that defaults toen) and other stuff.
See the code for more information.
Annotations are associated a rho-score indicating the likelihood of an annotation being correct. In the example, we discard
annotations with a score lower than 0.1.Mention findingThe mention finding service lets you find what parts of text may be a mention of an entity, without linking them to any entity.tomatoes_mentions=tagme.mentions("I definitely like ice cream better than tomatoes.")formentionintomatoes_mentions.mentions:printmentionThementionsparameter accepts an optional language parameterlangthat defaults toen.Entity relatednessTagme also gives you the semantic relatedness among pairs of entities. Entities can be either specified as Wikipedia titles
(likeBarack Obama) or as Wikipedia IDs (like534366, the ID of the entity Barack Obama).
The two methods for obtaining the relatedness among entities arerelatedness_title(that accepts titles) andrelatedness_wid(that accepts Wikipedia IDs). Both methods accept either a single pair of entities or a list of pairs.
You can submit a list of pairs of any size, but the TagMe web service will be issued one query every 100 pairs.
If one entity does not exist, the result will beNone.# Get relatedness between a pair of entities specified by title.rels=tagme.relatedness_title(("Barack Obama","Italy"))print"Obama and italy have a semantic relation of",rels.relatedness[0].rel# Get relatedness between a pair of entities specified by Wikipedia ID.rels=tagme.relatedness_wid((31717,534366))print"IDs 31717 and 534366 have a semantic relation of ",rels.relatedness[0].rel# Get relatedness between three pairs of entities specified by title.# The last entity does not exist, hence the value for that pair will be None.rels=tagme.relatedness_title([("Barack_Obama","Italy"),("Italy","Germany"),("Italy","BAD ENTITY NAME")])forrelinrels.relatedness:printrel# You can also build a dictionaryrels_dict=dict(rels)printrels_dict[("Barack Obama","Italy")]ChangelogSee theChangelog.
Package: tago
TagoIO - Python LibOfficial Python lib for TagoIODocumentationInstallation$ sudo pip3 install -U tagoUsageInsert Data.insert(OBJECT)importtagoMY_DEVICE_TOKEN='add your device token here'my_device=tago.Device(MY_DEVICE_TOKEN)data_to_insert={'variable':'temperature','location':{'lat':42.2974279,'lng':-85.628292},'time':'2014-01-20 03:43:59','unit':'C','value':63}# my_device.insert(data_to_insert)  # Without responseresult=my_device.insert(data_to_insert)# With responseifresult['status']:print(result['result'])else:print(result['message'])Find Data.find(OBJECT)importtagoMY_DEVICE_TOKEN='add your device token here'my_device=tago.Device(MY_DEVICE_TOKEN)findData=my_device.find({'query':'last_value'})iffindData['status']isTrue:print(findData['result'])# Array with dataelse:print(findData['message'])# Error (if status is False)LicenseTagoIO SDK for Python is released under theApache-2.0 License.
Package: tagoio-sdk
TagoIO - Python SDKOfficial Python SDK for TagoIOInstallationpipinstalltagoio-sdkQuick ExampleIf you have any questions, feel free to check ourHelp CenterInsert Device Datafromtagoio_sdkimportDevicemyDevice=Device({"token":"my_device_token"})result=myDevice.sendData({"variable":"temperature","unit":"F","value":55,"time":"2015-11-03 13:44:33","location":{"lat":42.2974279,"lng":-85.628292},})Edit Device Datafromtagoio_sdkimportDevicemyDevice=Device({"token":"my_device_token"})result=myDevice.editData({"id":"id_of_the_data_item","value":"123","time":"2022-04-01 12:34:56","location":{"lat":42.2974279,"lng":-85.628292},})Development Commandspoetryinstall
poetryrunpytesttests/
poetryrunflake8srcLicenseTagoIO SDK for Python is released under theApache-2.0 License
Package: tagordo
tagordoTiny python script to check if given checkpoints are up-to-date with a given cron scheduletagordoCheck if checkpoints in CHECKPOINTS_DIR are up-to-date with a given CRON_EXPRESSION schedule.Usage:$tagordo[OPTIONS]CRON_EXPRESSIONCHECKPOINTS_DIRArguments:CRON_EXPRESSION: [required]CHECKPOINTS_DIR: [required]Options:--install-completion: Install completion for the current shell.--show-completion: Show completion for the current shell, to copy it or customize the installation.--help: Show this message and exit.
Package: tagout
tagoutA small, pythonic, HTML/XML writer.Installation$ pip install tagoutUsageThis example shows how to use component functions to easily compose a document.importcontextlibimportsysimportiofromtagoutimportDocument,class_names@contextlib.contextmanagerdeflayout(doc):"""Site layout component that allows transclusion of content."""doc.write('<!DOCTYPE html>')withdoc.tag('html',lang='en'):withdoc.tag('head'):withdoc.tag('meta',charset='utf-8'):passwithdoc.tag('meta',name='viewport',content='width=device-width, initial-scale=1, shrink-to-fit=no'):passwithdoc.tag('link',rel='stylesheet',href='https://stackpath.bootstrapcdn.com/bootstrap/4.4.1/css/bootstrap.min.css',integrity='sha384-Vkoo8x4CGsO3+Hhxv8T/Q5PaXtkKtu6ug5TOeNV6gBiFeWPGFN9MuhOf23Q9Ifjh',crossorigin='anonymous'):passwithdoc.tag('title'):doc.text('tagout')withdoc.tag('body'):withdoc.tag('div',_class='container'):# transclude contentyielddefmodule_component(doc,module):"""Site module name list item component."""is_private=module.startswith('_')# the `class_names` utility function can be used to conditionally add class nameswithdoc.tag('li',_class=class_names({'text-danger':is_private})):doc.text(module)defwrite_doc(stream):doc=Document(stream,self_closing=True)withlayout(doc):# the layout component is a context manager and allows for transclusion# the leading underscore will be removed from keyword attributes# this is useful for the `class` attribute since it happens to be a python keywordwithdoc.tag('h1',_class='text-primary'):doc.text('<tagout>')withdoc.tag('p'):doc.text('A small, pythonic, HTML/XML writer.')withdoc.tag('h2'):doc.text('Modules')withdoc.tag('ul'):# loops can be used to generate multiple componentsformoduleinsys.modules:# the module component takes in datamodule_component(doc,module)if__name__=='__main__':# the document can be written to a file-like objectwithopen('index.html','w')asoutput_file:write_doc(output_file)# the document can be written to an io.StringIO instance to get a stringoutput_string=io.StringIO()write_doc(output_string)print(output_string.getvalue())
Package: tagpatch
tagpatchCLI tool which automatically applies common/repetitive patches to music tags.
You should use a GUI tool likeKDE's Kid3for complicated patches.InstallFrom GitHubsudowgethttps://github.com/IceWreck/tagpatch/releases/download/v0.1.2/tagpatch-v0.1.2\-O/usr/local/bin/tagpatch&&sudochmod+x/usr/local/bin/tagpatchUsing pippip install tagpatchIt's recommended to install this with--useror inside a venv.Exampletagpatchembed-lrc-n-s~/MusicThe changes will be highlighted in red. Confirm to continue.Usage[icewreck@zacian ~]$ tagpatch
Usage: tagpatch [OPTIONS] COMMAND [ARGS]...

Options:
--help  Show this message and exit.

Commands:
artist-name  A patch which replaces existing delimiters in the `Artist`...
embed-lrc    A patch which embeds .lrc files of the same name into the...[icewreck@zacian ~]$ tagpatch embed-lrc --help
Usage: tagpatch embed-lrc [OPTIONS]

A patch which embeds .lrc files of the same name into the track file.

Options:
-s, --src PATH    [default: /home/icewreck]
-d, --dst PATH
-y, --assume-yes
-n, --nested
--help            Show this message and exit.[icewreck@zacian ~]$ tagpatch artist-name --help
Usage: tagpatch artist-name [OPTIONS]

A patch which replaces existing delimiters in the `Artist` tag with the `/`
seperator.

Options:
-s, --src PATH    [default: /home/icewreck]
-d, --dst PATH
-y, --assume-yes
-n, --nested
--help            Show this message and exit.
Package: tagpro-eu
DescriptionThis package provides an easy interface for reading match files downloaded from the stat-collection websitetagpro.eu(by Ronding). Uses of this include, but are not limited to:Collecting individual players’ stats from matchesPretty-printing the outcome of matchesOutputting full match timelinesStatistical analysis of TagPro matchesRendering mapsInstallationInstall using pip (python 3.6+):pip install tagpro-euInstall from source:git clone git@github.com:arfie/tagpro-eu-python.git
cd tagpro-eu-python
sudo python3 setup.py install
# or:  python3 setup.py install --user
# to install for current user onlyQuick Start>>> import tagpro_euDownload an online match with ID1743331. Instead of the ID, a match URL or raw data URL can also be given.>>> match = tagpro_eu.download_match(1743331)
>>> match
Match(server='tagpro-radius.koalabeast.com', port=8003)Find out basic match information:>>> match.date
datetime.datetime(2018, 1, 19, 3, 47, 26)Find out match results:>>> (match.team_red.score, match.team_blue.score)
(1, 3)Look up players:>>> match.players[7]
Player(name='LiddiLidd')Read player stats. Time values are automatically formatted, but are internally just integers representing a number of frames (1/60 of a second).>>> match.players[7].stats.captures
2
>>> match.players[7].stats.hold
00:58.12Access the match’s map:>>> match.map
Map(name='Constriction')
>>> (match.map.width, match.map.height)
(59, 25)Read the map tiles as a 2D array:>>> match.map.tiles[20][8]
<Tile.flag_red: 30>