Saravanan666/pypi-org huggingface dataset:
Package: html-report-line-profiler
IntroCrée un rapport HTML (avec une arborescence), en se basant sur line_profiler :https://github.com/pyutils/line_profiler, fork dehttps://github.com/rkern/line_profilerTODOSeveral classes in one file : bug...Utilisation dans les tests unitaires :A ajouter a un test unittaire unittest, et à lancer avec $ coverage run -m unittest test_str.pyDans :[...]

import html_report_line_profiler as hr


class Test_CeciEstUnTest(unittest.TestCase):
    def setUp(self):
        # Code execute avant chaque test
        [...] # ce que l'on veut

        # Profiler :
        self.profiler, self.delete_profiling_env = hr.setUp_profiler(castList)

    #endDef

    # ...

    def tearDown(self):
        # Code executé après chaque test
        # Terminer le profiler en premier

        # Create basename
        hr.proffile_basename = classname2basename(
            file_name = __file__,
            class_name = self.__class__.__name__,
            method_name = self._testMethodName
        )

        # Launch the profiler out
        hr.tearDown_profiler(
            profiler=self.profiler,
            proffile_basename=proffile_basename,
            output_folder=output_folder,
            delete_profiling_env=self.delete_profiling_env
        )
        #
	# [...] # Les autres commandes
    #endDef
#endClassRapport HTMLPour lancer ensuite le post-traitement (rapport html) :$ profiler_html_report.pyRemarques-d = --input-dir(default : './profile')-o = --output-dir(default : './profile_html')
Package: html-reports
HTML ReportsModule for creating html reports based on jinja2 templates.UsageFirst you should create a report. Then you can add content to it. When you have all the content you can render it in a file with thewrite_reportfunction.For example:fromreportsimportReportrep=Report()rep.add_title("title1")rep.add_title("title1.1",level=2)rep.add_markdown("Some text")rep.write_report()This will create thereport.htmlfile using thetemplates/simple.htmltemplate.Pyplot figuresCreate a figure with pyplot and append it to the report with:importmatplotlib.pyplotaspltplt.plot([1,2,3])rep.add_figure()Installationpip install -r requirements.txtAuthorsArnau VilloroLicenseThe content of this repository is licensed under aMIT.NomenclatureBranches and commits use some prefixes to keep everything better organized.Branchesf/:featuresr/:releasesh/:hotfixsCommits[NEW]new features[FIX]fixes[REF]refactors[PYL]pylintimprovements[TST]tests
Package: htmlrunner
htmlrunnerHTMLRunner for unittestFeature日志添加图片顺序执行/打乱执行多线程失败重试按日期命名多语言发送邮件按测试类统计统计图执行时间超时时间设置环境信息多次运行结果性能分析不稳定用例标记bug增加稳定性异常解释extra信息自定义模板email支持格式发送到飞书、钉钉、企业微信，短信（仅summary),Confluence(hook)获取代码数据tag实现level实现timeout实现拦截请求和响应Installpip install htmlrunnerSimple UsefromhtmlrunnerimportHTMLRunnersuite=unittest.defaultTestLoader.discover('.')HTMLRunner(output="report_%Y%m%d_%H%M%S.html",title="测试报告",description="测试报告描述",tester='Hzc').run(suite)Todosetup module timeout问题not run test duration问题
Package: html-scrapper
IntroductionThe software package aims to provide scrapping capabilities for developers. One could use the software to scrap a section from complete html file with all images & css classes attached to the section.How to runscrapperOutputInputhtmlfilepath
>>/Users/jennie/Desktop/AskJennie/HTMLThemeScrapper/dexam/landing.v5.html
Inputtagnamewhichneedtobescrapped(eg:div,sectionetc)>>section
InputtagID>>features-wrapOther paramters:--html-file: Pass HTML filepath that is required to be scrapped, this would not requires user to input path on runtime.--tag: Tag name that need to be scrapped ( eg : div, section etc )--id: Dom ID attached to trag
Package: html-section
Sphinx extension to hide section headers with non-HTML builders.TestsPyPIActivityQAOtherInstallationhtml-sectioncan be installed from PyPI.To install withpip:$python-mpipinstallhtml-sectionThen enable the extension by adding the following to yourconf.pyfile:extensions=[...,# Other extensions go here"html_section",]UsageContents-----------..html-section::The section labelContentswill only be shown with the HTML builder.
However, the section content will still be visible, and the heading will appear in the table of contents.
Consider using Sphinx’s.. only:: htmldirective for that.Contents-----------..latex-section::The section labelContentswill only be shown with the LaTeX builder.
However, the section content will still be visible, and the heading will appear in the table of contents.
Consider using Sphinx’s.. only:: latexdirective for that.New in version 0.3.0Contents-----------..phantom-section::The section labelContentswill be hidden with all builders,
but the section will still exist in the structure of the document
(i.e. a new section will be started, without a label).
The section content will still be visible, and the heading will appear in the table of contents.
Package: htmlserver
DESCRIPTION: htmlserver - google appengine for python3.1REQUIRES: LINUX OS AND PYTHON3.1QUICK TEST: $ python3.1 setup.py build dev --quicktestSUMMARY:1 contains py3to2 script converter - converts python3.1 scripts to python2.5 by reverse compiling the ast2 runs on top of google appengine3 is file-less by designwebpages are dynamically served by tree-based objects in memory instead of physical files on diskother than png/jpg/media files, htmlserver maintains a website with just two files:1 main.py - python3.1 script containing url request handlers2 index.html - html code repository4 example site: http://kai-zhu.appspot.comRECENT CHANGELOG:20100206 - added htmlserver20100121 - added ast2src20091231 - added <<<< and >>>> sugar20091224 - added pseudomethod interactive console - revamped pseudomethod import hook20091224 - modularized package - fix install issues - added sdist check20091209 - improved documentation20091205 - moved source code to c++20091116 - package integratedDEMO USAGE:PseudoSugar - adding hook <htmlserver.PseudoSugar object at 0x8a40a6c> to sys.meta_path$ python3.1 setup.py htmlserver --name=htmlserverPseudoSugar - adding hook <htmlserver.PseudoSugar object at 0x8f1ab2c> to sys.meta_pathrunning htmlserverPython 2.5.2INFO     2010-02-08 16:50:59,019 appengine_rpc.py:157] Server: appengine.google.comINFO     2010-02-08 16:50:59,026 appcfg.py:348] Checking for updates to the SDK.INFO     2010-02-08 16:50:59,281 appcfg.py:362] The SDK is up to date.INFO     2010-02-08 16:50:59,381 dev_appserver_main.py:399] Running application htmlserver on port 8080: http://localhost:8080INFO     2010-02-08 16:50:59,615 dev_appserver_main.py:404] Server interrupted by user, terminatingtouch index2.html
Package: html-similarity
This package provides a set of functions to measure the similarity between web pages.InstallThe quick way:pip install html-similarityHow it works?Structural SimilarityUses sequence comparison of the html tags to compute the similarity.We not implement the similarity based on tree edit distance because it is slower than sequence comparison.Style SimilarityExtracts css classes of each html document and calculates the jaccard similarity of the sets of classes.Joint Similarity (Structural Similarity and Style Similarity)The joint similarity metric is calculated as:k * structural_similarity(document_1, document_2) + (1 - k) * style_similarity(document_1, document_2)All the similarity metrics takes values between 0 and 1.Recommendations for joint similarityUsingk=0.3give use better results. The style similarity gives more information about the similarity rather than the structural similarity.ExamplesHere is a example:In [1]: html_1 = '''
<h1 class="title">First Document</h1>
<ul class="menu">
    <li class="active">Documents</li>
    <li>Extra</li>
</ul>
'''

In [2]: html_2 = '''
<h1 class="title">Second document Document</h1>
<ul class="menu">
    <li class="active">Extra Documents</li>
</ul>
'''

In [3] from html_similarity import style_similarity, structural_similarity, similarity

In [4]: style_similarity(html_1, html_2)
Out[4]: 1.0

In [7]: structural_similarity(html_1, html_2)
Out[7]: 0.9090909090909091

In [8]: similarity(html_1, html_2)
Out[8]: 0.9545454545454546ReferencesThe idea of sequence comparision was taken fromPage Compare.The other ideas were taken fromT. Gowda and C. A. Mattmann, Clustering Web Pages Based on Structure and Style Similarity, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI), Pittsburgh, PA, 2016, pp. 175-180.Use caseClustering web pages based on structure and style similarity
Package: html-slacker
Converts HTML to Slack formatted markdownUsageInstall HTMLSlacker from pip.$pipinstallhtml-slackerImport library.>>>fromhtmlslackerimportHTMLSlackerUse it.>>>HTMLSlacker('<b>Hello</b>, <i>Slack</i>!').get_output()'*Hello*, _Slack_!'Test it.$pythonsetup.pytestRequirementsPython >= 2.5htmlLinksRepository:https://github.com/codex-team/html-slackerReport a bug:https://github.com/codex-team/html-slacker/issuesPyPI Package:https://pypi.python.org/pypi/html-slackerCodeX Team:https://ifmo.su
Package: html-stripper
A simple package to extract text from (even broken/invalid) HTML. No dependencies, it just uses Python's internalHTMLParserwith a few tweaks.Usage:fromhtml_stripperimportstrip_tagstext=strip_tags("<html>…")fromhtml_stripperimportstrip_tagsimportrequestsstrip_tags(requests.get("https://foo.bar/").text)fromhtml_stripperimportstrip_tags,strip_multiple_newlinestext=strip_multiple_newlines(strip_tags("<html>…"))# replaces chained newlines with a single \n
Package: html-styles
HtmlStylesPython port of npm packagehtml-styles.List of known HTML tag default styles.What is this?This is a list of default styles for HTML tags as defined byW3C specification.Installpipinstallhtml-stylesUsefromHtmlStylesimporthtml_stylesfromitertoolsimportchaindefget_tag_style(style):returndict(chain(*map(dict.items,[{y:x["style"].get(style)foryinx["selectorText"].split(",")}forxinlist(filter(lambdax:x["style"].get(style)isnotNone,html_styles))],)))print(get_tag_style("display"))print(get_tag_style("white-space"))Yields:{'[hidden]':'none',' area':'none',' base':'none',' basefont':'none',' datalist':'none',' head':'none',' link':'none',' meta':'none','\nnoembed':'none',' noframes':'none',' param':'none',' rp':'none',' script':'none',' source':'none',' style':'none',' template':'none',' track':'none',' title':'none','embed[hidden]':'inline','input[type=hidden i]':'none','html':'block',' body':'block','address':'block',' blockquote':'block',' center':'block',' div':'block',' figure':'block',' figcaption':'block',' footer':'block',' form':'block',' header':'block',' hr':'block','\nlegend':'block',' listing':'block',' main':'block',' p':'block',' plaintext':'block',' pre':'block',' xmp':'block','dialog:not([open])':'none','slot':'contents','ruby':'ruby','rt':'ruby-text','article':'block',' aside':'block',' h1':'block',' h2':'block',' h3':'block',' h4':'block',' h5':'block',' h6':'block',' hgroup':'block',' nav':'block',' section':'block','dir':'block',' dd':'block',' dl':'block',' dt':'block',' ol':'block',' ul':'block','li':'list-item','table':'table','caption':'table-caption','colgroup':'table-column-group',' colgroup[hidden]':'table-column-group','col':'table-column',' col[hidden]':'table-column','thead':'table-header-group',' thead[hidden]':'table-header-group','tbody':'table-row-group',' tbody[hidden]':'table-row-group','tfoot':'table-footer-group',' tfoot[hidden]':'table-footer-group','tr':'table-row',' tr[hidden]':'table-row','td':'table-cell',' th':'table-cell',' td[hidden]':'table-cell',' th[hidden]':'table-cell','table > form':'none',' thead > form':'none',' tbody > form':'none',' tfoot > form':'none',' tr > form':'none','fieldset':'block'}{'listing':'pre',' plaintext':'pre',' pre':'pre',' xmp':'pre','pre[wrap]':'pre-wrap','nobr':'nowrap','nobr wbr':'normal','td[nowrap]':'nowrap',' th[nowrap]':'nowrap','table':'initial','textarea':'pre-wrap'}LicenseGPL© Riverside Healthcare
Ported fromhtml-stylesMIT©Mario Nebl
Package: htmltable2csv
HTMLTable2CSVHTMLTable2CSV is a package for transforming HTML tables in a WebPage to CSV files.Installpip install htmltable2csvUsage1. Using as a package inside a project.a) Fetch HTML content from a Web Page URL.from htmltable2csv.htmltable2csv import Table2CSV

Table2CSV('http://example.com/page.html', '/path/to/destination')It will parse all the HTML tables inhttp://example.com/page.htmland store theme in specified destination folder.b) Read HTML content from a html file in the specified path.from htmltable2csv.htmltable2csv import Table2CSV

Table2CSV('/home/aqib/source.html', '/path/to/destination')It will parse all the HTML tables in/home/aqib/source.htmlfile and store theme in specified destination folder.2. Using as a utility from command line.a) Fetch HTML content from a Web Page URL.python3 -m  htmltable2csv.htmltable2csv 'http://example.com/page.html' '/path/to/destination'b) Read HTML content from a html file in the specified path.python3 -m  htmltable2csv.htmltable2csv '/path/to/source.html' '/path/to/destination'
Package: html-table-extractor
HTML Table ExtractorHTML Table Extractor is a python library that usesBeautiful Soupto extract data from complicated and messy html tableImportant linksRepository:https://github.com/yuanxu-li/html-table-extractorIssues:https://github.com/yuanxu-li/html-table-extractor/issuesInstallationpipinstall'beautifulsoup4==4.5.3'pipinstallhtml-table-extractorUsageExample 1 - Simple1234fromhtml_table_extractor.extractorimportExtractortable_doc="""<table><tr><td>1</td><td>2</td></tr><tr><td>3</td><td>4</td></tr></table>"""extractor=Extractor(table_doc)extractor.parse()extractor.return_list()It will print out:[[u'1',u'2'],[u'3',u'4']]Example 2 - Transformer1234fromhtml_table_extractor.extractorimportExtractortable_doc="""<table><tr><td>1</td><td>2</td></tr><tr><td>3</td><td>4</td></tr></table>"""extractor=Extractor(table_doc,transformer=int)extractor.parse()extractor.return_list()It will print out:[[1,2],[3,4]]Example 3 - Pass BS4 Tag1234fromhtml_table_extractor.extractorimportExtractorfrombs4importBeautifulSouptable_doc="""<html><table id='wanted'><tr><td>1</td><td>2</td></tr><tr><td>3</td><td>4</td></tr></table><table id='unwanted'><tr><td>not wanted</td></tr></table></html>"""soup=BeautifulSoup(table_doc,'html.parser')extractor=Extractor(soup,id_='wanted')extractor.parse()extractor.return_list()It will print out:[[u'1',u'2'],[u'3',u'4']]Example 4 - Complex12345fromhtml_table_extractor.extractorimportExtractortable_doc="""<table><tr><td rowspan=2>1</td><td>2</td><td>3</td></tr><tr><td colspan=2>4</td></tr><tr><td colspan=3>5</td></tr></table>"""extractor=Extractor(table_doc)extractor.parse()extractor.return_list()It will print out:[[u'1',u'2',u'3'],[u'1',u'4',u'4'],[u'5',u'5',u'5']]Example 5 - Conflicted12345fromhtml_table_extractor.extractorimportExtractortable_doc="""<table><tr><td rowspan=2>1</td><td>2</td><td rowspan=3>3</td></tr><tr><td colspan=2>4</td></tr><tr><td colspan=2>5</td></tr></table>"""extractor=Extractor(table_doc)extractor.parse()extractor.return_list()It will print out:[[u'1',u'2',u'3'],[u'1',u'4',u'3'],[u'5',u'5',u'3']]Example 6 - Write to file1234fromhtml_table_extractor.extractorimportExtractortable_doc="""<table><tr><td>1</td><td>2</td></tr><tr><td>3</td><td>4</td></tr></table>"""extractor=Extractor(table_doc).parse()extractor.write_to_csv(path='.')It will write to a given path and create a new csv file calledoutput.csv:1,2
3,4Team@yuanxu-liErrors/ BugsIf something is not working correctly, or if you have any suggestion on improvements,report it hereCopyrightCopyright (c) 2017 Justin Li. Released under theMIT LicenseThird-party copyright in this distribution is noted where applicable.
Package: html-table-parser-python3
html-table-parser-python3.5+This module consists of just one small class. Its purpose is to parse HTML
tables without help of external modules. Everything I use is part of python 3.
Instead of installing this module, you can just copy the class located inparse.pyinto your own code.How to useProbably best shown by example usingpyenvfor convenience:pyenv local
python ./example_of_usage.pyThe parser returns a nested lists of tables containing rows containing cells
as strings. Tags in cells are stripped and the tags text content is joined.
The console output for parsing all tables on the twitter home page looks
like this:>>> 
[[['', 'Anmelden']],
 [['Land', 'Code', 'Für Kunden von'],
  ['Vereinigte Staaten', '40404', '(beliebig)'],
  ['Kanada', '21212', '(beliebig)'],
  ...
  ['3424486444', 'Vodafone'],
  ['Zeige SMS-Kurzwahlen für andere Länder']]]CLIThere is also a command line interface which you can use directly to
generate a CSV:./html_table_converter -u http://web.archive.org/web/20180524092138/http://metal-train.de/index.php/fahrplan.html -o metaltrainIf you need help for the supported parameters append-h:./html_table_converter -hTestsA set of rudimentary tests have been implemented using Python's built-in unittest framework. Tests must be ran on Python 3.X. To run, use the following command:python -m unittest
Package: htmltabletomd
htmltabletomdhtmltabletomdis for converting html tables to markdown.
Additionally, contents inside table cells can be converted to markdown if they contain HTML,
for which it uses the libraryhtmltomarkdown.Installationpip install htmltabletomdUsageConvert HTML table to Markdown tableimporthtmltabletomdhtml_table="""<table><tr><th>Heading 1</th><th>Heading 2</th></tr><tr><td>column 11</td><td>column 12</td></tr><tr><td>column 21</td><td>column 22</td></tr></table>"""md_table=htmltabletomd.convert_table(html_table)print(md_table)Output:| Heading 1 | Heading 2 |
| :--- | :--- |
| column 11 | column 12 |
| column 21 | column 22 |Passall_cols_alignmentargument to align text in the columns to the left, right, or centerFor the above html table...md_table=htmltabletomd.convert_table(html_table,all_cols_alignment="right")print(md_table)Output:| Heading 1 | Heading 2 |
| ---: | ---: |
| column 11 | column 12 |
| column 21 | column 22 |Allowed values:left,rightorcenter.Passcontent_conversion_indargument to convert html contents inside the table cells to markdownimporthtmltabletomdhtml_table="""<table><tr><th>Heading <b>1</b></th><th>Heading <b>2</b></th></tr><tr><td>column <i>11</i></td><td>column <b>12</b></td></tr><tr><td>column 21</td><td>column <b><i>22</i></b></td></tr></table>"""md_table=htmltabletomd.convert_table(html_table,content_conversion_ind=True)print(md_table)Output:| Heading __1__ | Heading __2__ |
| :--- | :--- |
| column _11_ | column __12__ |
| column 21 | column ___22___ |
Package: html-tag-names
HtmlTagNamesPython port of npm packagehtml-tag-names.List of known HTML tag names.What is this?This is a list of HTML tag names.
It includes ancient (for example,nextidandbasefont) and modern (for
example,shadowandtemplate) names from the HTML living standard.
The repo includes scripts to regenerate the data from the specs.When should I use this?You can use this package when you need to know what tag names are allowed in
any version of HTML.Installpipinstallhtml-tag-namesUsefromHtmlTagNamesimporthtml_tag_namesprint(len(html_tag_names))# => 148print(html_tag_names[:20])Yields:['a','abbr','acronym','address','applet','area','article','aside','audio','b','base','basefont','bdi','bdo','bgsound','big','blink','blockquote','body','br']LicenseMIT© Riverside Healthcare
Ported fromhtml-tag-namesMIT© [Titus Wormer][author]
Package: html-telegraph-poster
Python html to telegra.ph posterSimple python function to post plain html text tohttps://telegra.ph/.
Telegra.ph allows<a>, <blockquote>, <br>, <em>, <figure>, <h3>, <h4>, <img>, <p>, <strong>,elements.
It also supports embedded youtube and vimeo iframe tags.About telegram telegra.ph servicehttps://telegram.org/blog/instant-viewRequirementslxmlrequestsrequests_toolbeltInstallationpipinstallhtml-telegraph-posterUsage>>>fromhtml_telegraph_posterimportTelegraphPoster>>>t=TelegraphPoster(use_api=True)>>>t.create_api_token('Elon Musk','Elon','https://www.spacex.com/')# second and third params are optional{'access_token':'9f3bab568f*************','auth_url':'https://edit.telegra.ph/auth/HFYo***********','author_name':'Elon','short_name':'Elon Musk','author_url':'https://www.spacex.com/'}>>>t.post(title='Just another funny joke',author='by me',text='<blockquote>Really hard way</blockquote>'){'path':'Just-another-funny-joke-06-05-4','url':'http://telegra.ph/Just-another-funny-joke-06-05-4'}Use graph.org instead of telegra.ph>>>t=TelegraphPoster(use_api=True,telegraph_api_url='https://api.graph.org')We can modify this article later:>>>t.edit(text=t.text+'<p>some text at the end</p>'){'path':'Just-another-funny-joke-06-05-4','url':'http://telegra.ph/Just-another-funny-joke-06-05-4'}Modify page created earlier:>>>t.edit(text="<p>new text</p>",path='/Another-one-page-06-05'){'path':'Another-one-page-06-05','url':'http://telegra.ph/Another-one-page-06-05'}Generate persistent access tokenActually it's a good idea to generate access token and put it inside environment variables.
This command will generate .env file or append  TELEGRAPH_ACCESS_TOKEN at the end of it.
Note: script will not set environment variable. You can usepython-dotenv,
set it manually or hardcode it when callTelegraphPoster(access_token='access_token_string')python-mhtml_telegraph_poster.create_account"Elon Musk""Elon""https://www.spacex.com/"Uploading imagesfromhtml_telegraph_poster.upload_imagesimportupload_image# upload fileupload_image("file_path.jpg")# upload urlupload_image("http://example.com/img.png")# setting request and response timeoutupload_image("http://example.com/img.png",get_timeout=(5,5),upload_timeout=(5,5))Utils moduleUtils module provides ability to make some pre-process steps before document is passed to the converter.Uploading all images to the telegra.phfromhtml_telegraph_poster.utilsimportDocumentPreprocessordp=DocumentPreprocessor(html_string)dp.upload_all_images()dp.get_processed_html()# this should return html string with uploaded and replaced image urlsOptionally you can pass base_url if the document contains images with relative pathsdp.upload_all_images(base_url='https://example.com')dp.get_processed_html()
Package: html-template-parser
HTML Template ParserModified version of Python's HTMLParser for HTML template parsing🤔 For What?The is an HTML template parser. It is a modified version of Python's HTMLParse library, expanded to handle template tags.💾 Installpipinstallhtml-template-parser# orpoetryaddhtml-template-parser✨ How to UseA basic usage example is remarkably similar to Python's HTMLParser:fromHtmlTemplateParserimportHtpfromHtmlTemplateParserimportAttributeParserclassMyAttributeParser(AttributeParser):defhandle_starttag_curly_perc(self,tag,attrs,props):print("starttag_curly_perc",tag,attrs,props)# get the position of the element relative to the original htmlprint(self.getpos())# get the original html textprint(self.get_element_text())defhandle_endtag_curly_perc(self,tag,attrs,props):print("endtag_curly_perc",tag,attrs,props)defhandle_value(self,value):print("value",value)classMyHTMLParser(Htp):defhandle_starttag(self,tag,attrs):print("Encountered a start tag:",tag)print(self.getpos())MyAttributeParser(attrs).parse()defhandle_endtag(self,tag):print("Encountered an end tag :",tag)defhandle_data(self,data):print("Encountered some data  :",data)parser=MyHTMLParser()parser.feed('<html><head><title>Test</title></head>''<body {% if this %}ok{% endif %}><h1>Parse me!</h1></body></html>')🏷 Function Naming ConventionsCommentscomment<!-- -->comment_curly_hash{# data #}comment_curly_two_exlaim{{! data }}starttag_comment_curly_perc{% comment "attrs" %}endtag_comment_curly_perc{% endcomment %}comment_at_star@* data *@Structurestartendtag< />starttag<starttag_curly_perc{% ... %}starttag_curly_two_hash{{#...}}starttag_curly_four{{{{...}}}}endtag<.../>endtag_curly_perc{% end.. %}endtag_curly_two_slash{{/...}}endtag_curly_four_slash{{{{/...}}}}Data and Otherunknown_declcharrefentityrefdatacurly_two{{ ... }}slash_curly_two\{{ ... }}curly_three{{{ ... }}}declpiModifiersModifiers such as~,!--,-,+,>will show up as props on the tags.AttributesAttributes are passed from the Htp as a complete string to be parsed with the attribute parser.