Repository files navigation

ktsu.TextFilter

A .NET library for filtering text using glob patterns, regular expressions, and fuzzy matching

LicenseNuGet VersionNuGet VersionNuGet DownloadsGitHub commit activityGitHub contributorsGitHub Actions Workflow Status

Introduction

ktsu.TextFilter is a .NET library that provides methods for filtering text based on different filter types and match options. It supports glob patterns, regular expressions, and fuzzy matching to help you efficiently filter and search through collections of strings.

Features

  • Glob Pattern Matching: Filter text using glob patterns with optional, required, and excluded tokens.
  • Regular Expression Matching: Filter text using regular expressions.
  • Fuzzy Matching: Rank text based on how well it matches a fuzzy pattern.
  • Customizable Match Options: Match by whole string, all words, or any word.

Installation

Package Manager Console

Install-Package ktsu.TextFilter

.NET CLI

dotnet add package ktsu.TextFilter

Package Reference

<PackageReferenceInclude="ktsu.TextFilter"Version="x.y.z" />

Usage Examples

Basic Example

usingktsu.TextFilter;stringtext="Hello, World!";stringpattern="Hello*";boolisMatch=TextFilter.Match(text,pattern);

Filtering Collections

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello*";IEnumerable<string>matches=TextFilter.Filter(texts,pattern);

Ranking Results

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello";IEnumerable<string>ranked=TextFilter.Rank(texts,pattern);

Advanced Usage

Match Options

You can customize how matching is performed using the MatchOptions enum:

usingktsu.TextFilter;stringtext="Hello beautiful world";stringpattern="hello world";// Match by any word in the patternboolanyWordMatch=TextFilter.Match(text,pattern,MatchOptions.AnyWord);// Match by all words in the patternboolallWordsMatch=TextFilter.Match(text,pattern,MatchOptions.AllWords);// Match the entire stringboolwholeStringMatch=TextFilter.Match(text,pattern,MatchOptions.WholeString);

Filter Types

TextFilter supports different filter types:

usingktsu.TextFilter;stringtext="Hello, World!";stringglobPattern="Hello*";stringregexPattern="^Hello";// Glob pattern matchingboolglobMatch=TextFilter.Match(text,globPattern,filterType:FilterType.Glob);// Regular expression matchingboolregexMatch=TextFilter.Match(text,regexPattern,filterType:FilterType.Regex);// Fuzzy matchingboolfuzzyMatch=TextFilter.Match(text,"Helo",filterType:FilterType.Fuzzy);

API Reference

TextFilter Class

The primary class for text filtering operations.

Methods

NameReturn TypeDescription
Match(string text, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)boolTests if the input text matches the specified pattern
Filter(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)IEnumerable<string>Returns all texts that match the pattern
Rank(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString)IEnumerable<string>Returns texts ranked by how well they match the pattern

Enums

MatchOptions

ValueDescription
WholeStringMatch the entire string against the pattern
AllWordsMatch all words in the pattern against the string
AnyWordMatch any word in the pattern against the string

FilterType

ValueDescription
GlobUse glob pattern matching
RegexUse regular expression matching
FuzzyUse fuzzy matching

Contributing

Contributions are welcome! For feature requests, bug reports, or questions, please open an issue on GitHub. If you would like to contribute code, please open a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

About

A library providing methods for matching and filtering text. It supports glob patterns, regular expressions, and fuzzy matching.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Repository files navigation

ktsu.TextFilter

A .NET library for filtering text using glob patterns, regular expressions, and fuzzy matching

LicenseNuGet VersionNuGet VersionNuGet DownloadsGitHub commit activityGitHub contributorsGitHub Actions Workflow Status

Introduction

ktsu.TextFilter is a .NET library that provides methods for filtering text based on different filter types and match options. It supports glob patterns, regular expressions, and fuzzy matching to help you efficiently filter and search through collections of strings.

Features

  • Glob Pattern Matching: Filter text using glob patterns with optional, required, and excluded tokens.
  • Regular Expression Matching: Filter text using regular expressions.
  • Fuzzy Matching: Rank text based on how well it matches a fuzzy pattern.
  • Customizable Match Options: Match by whole string, all words, or any word.

Installation

Package Manager Console

Install-Package ktsu.TextFilter

.NET CLI

dotnet add package ktsu.TextFilter

Package Reference

<PackageReferenceInclude="ktsu.TextFilter"Version="x.y.z" />

Usage Examples

Basic Example

usingktsu.TextFilter;stringtext="Hello, World!";stringpattern="Hello*";boolisMatch=TextFilter.Match(text,pattern);

Filtering Collections

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello*";IEnumerable<string>matches=TextFilter.Filter(texts,pattern);

Ranking Results

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello";IEnumerable<string>ranked=TextFilter.Rank(texts,pattern);

Advanced Usage

Match Options

You can customize how matching is performed using the MatchOptions enum:

usingktsu.TextFilter;stringtext="Hello beautiful world";stringpattern="hello world";// Match by any word in the patternboolanyWordMatch=TextFilter.Match(text,pattern,MatchOptions.AnyWord);// Match by all words in the patternboolallWordsMatch=TextFilter.Match(text,pattern,MatchOptions.AllWords);// Match the entire stringboolwholeStringMatch=TextFilter.Match(text,pattern,MatchOptions.WholeString);

Filter Types

TextFilter supports different filter types:

usingktsu.TextFilter;stringtext="Hello, World!";stringglobPattern="Hello*";stringregexPattern="^Hello";// Glob pattern matchingboolglobMatch=TextFilter.Match(text,globPattern,filterType:FilterType.Glob);// Regular expression matchingboolregexMatch=TextFilter.Match(text,regexPattern,filterType:FilterType.Regex);// Fuzzy matchingboolfuzzyMatch=TextFilter.Match(text,"Helo",filterType:FilterType.Fuzzy);

API Reference

TextFilter Class

The primary class for text filtering operations.

Methods

NameReturn TypeDescription
Match(string text, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)boolTests if the input text matches the specified pattern
Filter(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)IEnumerable<string>Returns all texts that match the pattern
Rank(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString)IEnumerable<string>Returns texts ranked by how well they match the pattern

Enums

MatchOptions

ValueDescription
WholeStringMatch the entire string against the pattern
AllWordsMatch all words in the pattern against the string
AnyWordMatch any word in the pattern against the string

FilterType

ValueDescription
GlobUse glob pattern matching
RegexUse regular expression matching
FuzzyUse fuzzy matching

Contributing

Contributions are welcome! For feature requests, bug reports, or questions, please open an issue on GitHub. If you would like to contribute code, please open a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

About

A library providing methods for matching and filtering text. It supports glob patterns, regular expressions, and fuzzy matching.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

ktsu.TextFilter

A .NET library for filtering text using glob patterns, regular expressions, and fuzzy matching

LicenseNuGet VersionNuGet VersionNuGet DownloadsGitHub commit activityGitHub contributorsGitHub Actions Workflow Status

Introduction

ktsu.TextFilter is a .NET library that provides methods for filtering text based on different filter types and match options. It supports glob patterns, regular expressions, and fuzzy matching to help you efficiently filter and search through collections of strings.

Features

  • Glob Pattern Matching: Filter text using glob patterns with optional, required, and excluded tokens.
  • Regular Expression Matching: Filter text using regular expressions.
  • Fuzzy Matching: Rank text based on how well it matches a fuzzy pattern.
  • Customizable Match Options: Match by whole string, all words, or any word.

Installation

Package Manager Console

Install-Package ktsu.TextFilter

.NET CLI

dotnet add package ktsu.TextFilter

Package Reference

<PackageReferenceInclude="ktsu.TextFilter"Version="x.y.z" />

Usage Examples

Basic Example

usingktsu.TextFilter;stringtext="Hello, World!";stringpattern="Hello*";boolisMatch=TextFilter.Match(text,pattern);

Filtering Collections

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello*";IEnumerable<string>matches=TextFilter.Filter(texts,pattern);

Ranking Results

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello";IEnumerable<string>ranked=TextFilter.Rank(texts,pattern);

Advanced Usage

Match Options

You can customize how matching is performed using the MatchOptions enum:

usingktsu.TextFilter;stringtext="Hello beautiful world";stringpattern="hello world";// Match by any word in the patternboolanyWordMatch=TextFilter.Match(text,pattern,MatchOptions.AnyWord);// Match by all words in the patternboolallWordsMatch=TextFilter.Match(text,pattern,MatchOptions.AllWords);// Match the entire stringboolwholeStringMatch=TextFilter.Match(text,pattern,MatchOptions.WholeString);

Filter Types

TextFilter supports different filter types:

usingktsu.TextFilter;stringtext="Hello, World!";stringglobPattern="Hello*";stringregexPattern="^Hello";// Glob pattern matchingboolglobMatch=TextFilter.Match(text,globPattern,filterType:FilterType.Glob);// Regular expression matchingboolregexMatch=TextFilter.Match(text,regexPattern,filterType:FilterType.Regex);// Fuzzy matchingboolfuzzyMatch=TextFilter.Match(text,"Helo",filterType:FilterType.Fuzzy);

API Reference

TextFilter Class

The primary class for text filtering operations.

Methods

NameReturn TypeDescription
Match(string text, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)boolTests if the input text matches the specified pattern
Filter(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)IEnumerable<string>Returns all texts that match the pattern
Rank(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString)IEnumerable<string>Returns texts ranked by how well they match the pattern

Enums

MatchOptions

ValueDescription
WholeStringMatch the entire string against the pattern
AllWordsMatch all words in the pattern against the string
AnyWordMatch any word in the pattern against the string

FilterType

ValueDescription
GlobUse glob pattern matching
RegexUse regular expression matching
FuzzyUse fuzzy matching

Contributing

Contributions are welcome! For feature requests, bug reports, or questions, please open an issue on GitHub. If you would like to contribute code, please open a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

About

A library providing methods for matching and filtering text. It supports glob patterns, regular expressions, and fuzzy matching.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

ktsu.TextFilter

A .NET library for filtering text using glob patterns, regular expressions, and fuzzy matching

LicenseNuGet VersionNuGet VersionNuGet DownloadsGitHub commit activityGitHub contributorsGitHub Actions Workflow Status

Introduction

ktsu.TextFilter is a .NET library that provides methods for filtering text based on different filter types and match options. It supports glob patterns, regular expressions, and fuzzy matching to help you efficiently filter and search through collections of strings.

Features

  • Glob Pattern Matching: Filter text using glob patterns with optional, required, and excluded tokens.
  • Regular Expression Matching: Filter text using regular expressions.
  • Fuzzy Matching: Rank text based on how well it matches a fuzzy pattern.
  • Customizable Match Options: Match by whole string, all words, or any word.

Installation

Package Manager Console

Install-Package ktsu.TextFilter

.NET CLI

dotnet add package ktsu.TextFilter

Package Reference

<PackageReferenceInclude="ktsu.TextFilter"Version="x.y.z" />

Usage Examples

Basic Example

usingktsu.TextFilter;stringtext="Hello, World!";stringpattern="Hello*";boolisMatch=TextFilter.Match(text,pattern);

Filtering Collections

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello*";IEnumerable<string>matches=TextFilter.Filter(texts,pattern);

Ranking Results

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello";IEnumerable<string>ranked=TextFilter.Rank(texts,pattern);

Advanced Usage

Match Options

You can customize how matching is performed using the MatchOptions enum:

usingktsu.TextFilter;stringtext="Hello beautiful world";stringpattern="hello world";// Match by any word in the patternboolanyWordMatch=TextFilter.Match(text,pattern,MatchOptions.AnyWord);// Match by all words in the patternboolallWordsMatch=TextFilter.Match(text,pattern,MatchOptions.AllWords);// Match the entire stringboolwholeStringMatch=TextFilter.Match(text,pattern,MatchOptions.WholeString);

Filter Types

TextFilter supports different filter types:

usingktsu.TextFilter;stringtext="Hello, World!";stringglobPattern="Hello*";stringregexPattern="^Hello";// Glob pattern matchingboolglobMatch=TextFilter.Match(text,globPattern,filterType:FilterType.Glob);// Regular expression matchingboolregexMatch=TextFilter.Match(text,regexPattern,filterType:FilterType.Regex);// Fuzzy matchingboolfuzzyMatch=TextFilter.Match(text,"Helo",filterType:FilterType.Fuzzy);

API Reference

TextFilter Class

The primary class for text filtering operations.

Methods

NameReturn TypeDescription
Match(string text, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)boolTests if the input text matches the specified pattern
Filter(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)IEnumerable<string>Returns all texts that match the pattern
Rank(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString)IEnumerable<string>Returns texts ranked by how well they match the pattern

Enums

MatchOptions

ValueDescription
WholeStringMatch the entire string against the pattern
AllWordsMatch all words in the pattern against the string
AnyWordMatch any word in the pattern against the string

FilterType

ValueDescription
GlobUse glob pattern matching
RegexUse regular expression matching
FuzzyUse fuzzy matching

Contributing

Contributions are welcome! For feature requests, bug reports, or questions, please open an issue on GitHub. If you would like to contribute code, please open a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

About

A library providing methods for matching and filtering text. It supports glob patterns, regular expressions, and fuzzy matching.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

ktsu.TextFilter

A .NET library for filtering text using glob patterns, regular expressions, and fuzzy matching

LicenseNuGet VersionNuGet VersionNuGet DownloadsGitHub commit activityGitHub contributorsGitHub Actions Workflow Status

Introduction

ktsu.TextFilter is a .NET library that provides methods for filtering text based on different filter types and match options. It supports glob patterns, regular expressions, and fuzzy matching to help you efficiently filter and search through collections of strings.

Features

  • Glob Pattern Matching: Filter text using glob patterns with optional, required, and excluded tokens.
  • Regular Expression Matching: Filter text using regular expressions.
  • Fuzzy Matching: Rank text based on how well it matches a fuzzy pattern.
  • Customizable Match Options: Match by whole string, all words, or any word.

Installation

Package Manager Console

Install-Package ktsu.TextFilter

.NET CLI

dotnet add package ktsu.TextFilter

Package Reference

<PackageReferenceInclude="ktsu.TextFilter"Version="x.y.z" />

Usage Examples

Basic Example

usingktsu.TextFilter;stringtext="Hello, World!";stringpattern="Hello*";boolisMatch=TextFilter.Match(text,pattern);

Filtering Collections

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello*";IEnumerable<string>matches=TextFilter.Filter(texts,pattern);

Ranking Results

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello";IEnumerable<string>ranked=TextFilter.Rank(texts,pattern);

Advanced Usage

Match Options

You can customize how matching is performed using the MatchOptions enum:

usingktsu.TextFilter;stringtext="Hello beautiful world";stringpattern="hello world";// Match by any word in the patternboolanyWordMatch=TextFilter.Match(text,pattern,MatchOptions.AnyWord);// Match by all words in the patternboolallWordsMatch=TextFilter.Match(text,pattern,MatchOptions.AllWords);// Match the entire stringboolwholeStringMatch=TextFilter.Match(text,pattern,MatchOptions.WholeString);

Filter Types

TextFilter supports different filter types:

usingktsu.TextFilter;stringtext="Hello, World!";stringglobPattern="Hello*";stringregexPattern="^Hello";// Glob pattern matchingboolglobMatch=TextFilter.Match(text,globPattern,filterType:FilterType.Glob);// Regular expression matchingboolregexMatch=TextFilter.Match(text,regexPattern,filterType:FilterType.Regex);// Fuzzy matchingboolfuzzyMatch=TextFilter.Match(text,"Helo",filterType:FilterType.Fuzzy);

API Reference

TextFilter Class

The primary class for text filtering operations.

Methods

NameReturn TypeDescription
Match(string text, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)boolTests if the input text matches the specified pattern
Filter(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)IEnumerable<string>Returns all texts that match the pattern
Rank(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString)IEnumerable<string>Returns texts ranked by how well they match the pattern

Enums

MatchOptions

ValueDescription
WholeStringMatch the entire string against the pattern
AllWordsMatch all words in the pattern against the string
AnyWordMatch any word in the pattern against the string

FilterType

ValueDescription
GlobUse glob pattern matching
RegexUse regular expression matching
FuzzyUse fuzzy matching

Contributing

Contributions are welcome! For feature requests, bug reports, or questions, please open an issue on GitHub. If you would like to contribute code, please open a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

About

A library providing methods for matching and filtering text. It supports glob patterns, regular expressions, and fuzzy matching.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

ktsu.TextFilter

A .NET library for filtering text using glob patterns, regular expressions, and fuzzy matching

LicenseNuGet VersionNuGet VersionNuGet DownloadsGitHub commit activityGitHub contributorsGitHub Actions Workflow Status

Introduction

ktsu.TextFilter is a .NET library that provides methods for filtering text based on different filter types and match options. It supports glob patterns, regular expressions, and fuzzy matching to help you efficiently filter and search through collections of strings.

Features

  • Glob Pattern Matching: Filter text using glob patterns with optional, required, and excluded tokens.
  • Regular Expression Matching: Filter text using regular expressions.
  • Fuzzy Matching: Rank text based on how well it matches a fuzzy pattern.
  • Customizable Match Options: Match by whole string, all words, or any word.

Installation

Package Manager Console

Install-Package ktsu.TextFilter

.NET CLI

dotnet add package ktsu.TextFilter

Package Reference

<PackageReferenceInclude="ktsu.TextFilter"Version="x.y.z" />

Usage Examples

Basic Example

usingktsu.TextFilter;stringtext="Hello, World!";stringpattern="Hello*";boolisMatch=TextFilter.Match(text,pattern);

Filtering Collections

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello*";IEnumerable<string>matches=TextFilter.Filter(texts,pattern);

Ranking Results

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello";IEnumerable<string>ranked=TextFilter.Rank(texts,pattern);

Advanced Usage

Match Options

You can customize how matching is performed using the MatchOptions enum:

usingktsu.TextFilter;stringtext="Hello beautiful world";stringpattern="hello world";// Match by any word in the patternboolanyWordMatch=TextFilter.Match(text,pattern,MatchOptions.AnyWord);// Match by all words in the patternboolallWordsMatch=TextFilter.Match(text,pattern,MatchOptions.AllWords);// Match the entire stringboolwholeStringMatch=TextFilter.Match(text,pattern,MatchOptions.WholeString);

Filter Types

TextFilter supports different filter types:

usingktsu.TextFilter;stringtext="Hello, World!";stringglobPattern="Hello*";stringregexPattern="^Hello";// Glob pattern matchingboolglobMatch=TextFilter.Match(text,globPattern,filterType:FilterType.Glob);// Regular expression matchingboolregexMatch=TextFilter.Match(text,regexPattern,filterType:FilterType.Regex);// Fuzzy matchingboolfuzzyMatch=TextFilter.Match(text,"Helo",filterType:FilterType.Fuzzy);

API Reference

TextFilter Class

The primary class for text filtering operations.

Methods

NameReturn TypeDescription
Match(string text, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)boolTests if the input text matches the specified pattern
Filter(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)IEnumerable<string>Returns all texts that match the pattern
Rank(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString)IEnumerable<string>Returns texts ranked by how well they match the pattern

Enums

MatchOptions

ValueDescription
WholeStringMatch the entire string against the pattern
AllWordsMatch all words in the pattern against the string
AnyWordMatch any word in the pattern against the string

FilterType

ValueDescription
GlobUse glob pattern matching
RegexUse regular expression matching
FuzzyUse fuzzy matching

Contributing

Contributions are welcome! For feature requests, bug reports, or questions, please open an issue on GitHub. If you would like to contribute code, please open a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

About

A library providing methods for matching and filtering text. It supports glob patterns, regular expressions, and fuzzy matching.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

ktsu.TextFilter

A .NET library for filtering text using glob patterns, regular expressions, and fuzzy matching

LicenseNuGet VersionNuGet VersionNuGet DownloadsGitHub commit activityGitHub contributorsGitHub Actions Workflow Status

Introduction

ktsu.TextFilter is a .NET library that provides methods for filtering text based on different filter types and match options. It supports glob patterns, regular expressions, and fuzzy matching to help you efficiently filter and search through collections of strings.

Features

  • Glob Pattern Matching: Filter text using glob patterns with optional, required, and excluded tokens.
  • Regular Expression Matching: Filter text using regular expressions.
  • Fuzzy Matching: Rank text based on how well it matches a fuzzy pattern.
  • Customizable Match Options: Match by whole string, all words, or any word.

Installation

Package Manager Console

Install-Package ktsu.TextFilter

.NET CLI

dotnet add package ktsu.TextFilter

Package Reference

<PackageReferenceInclude="ktsu.TextFilter"Version="x.y.z" />

Usage Examples

Basic Example

usingktsu.TextFilter;stringtext="Hello, World!";stringpattern="Hello*";boolisMatch=TextFilter.Match(text,pattern);

Filtering Collections

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello*";IEnumerable<string>matches=TextFilter.Filter(texts,pattern);

Ranking Results

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello";IEnumerable<string>ranked=TextFilter.Rank(texts,pattern);

Advanced Usage

Match Options

You can customize how matching is performed using the MatchOptions enum:

usingktsu.TextFilter;stringtext="Hello beautiful world";stringpattern="hello world";// Match by any word in the patternboolanyWordMatch=TextFilter.Match(text,pattern,MatchOptions.AnyWord);// Match by all words in the patternboolallWordsMatch=TextFilter.Match(text,pattern,MatchOptions.AllWords);// Match the entire stringboolwholeStringMatch=TextFilter.Match(text,pattern,MatchOptions.WholeString);

Filter Types

TextFilter supports different filter types:

usingktsu.TextFilter;stringtext="Hello, World!";stringglobPattern="Hello*";stringregexPattern="^Hello";// Glob pattern matchingboolglobMatch=TextFilter.Match(text,globPattern,filterType:FilterType.Glob);// Regular expression matchingboolregexMatch=TextFilter.Match(text,regexPattern,filterType:FilterType.Regex);// Fuzzy matchingboolfuzzyMatch=TextFilter.Match(text,"Helo",filterType:FilterType.Fuzzy);

API Reference

TextFilter Class

The primary class for text filtering operations.

Methods

NameReturn TypeDescription
Match(string text, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)boolTests if the input text matches the specified pattern
Filter(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)IEnumerable<string>Returns all texts that match the pattern
Rank(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString)IEnumerable<string>Returns texts ranked by how well they match the pattern

Enums

MatchOptions

ValueDescription
WholeStringMatch the entire string against the pattern
AllWordsMatch all words in the pattern against the string
AnyWordMatch any word in the pattern against the string

FilterType

ValueDescription
GlobUse glob pattern matching
RegexUse regular expression matching
FuzzyUse fuzzy matching

Contributing

Contributions are welcome! For feature requests, bug reports, or questions, please open an issue on GitHub. If you would like to contribute code, please open a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

About

A library providing methods for matching and filtering text. It supports glob patterns, regular expressions, and fuzzy matching.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

ktsu.TextFilter

A .NET library for filtering text using glob patterns, regular expressions, and fuzzy matching

LicenseNuGet VersionNuGet VersionNuGet DownloadsGitHub commit activityGitHub contributorsGitHub Actions Workflow Status

Introduction

ktsu.TextFilter is a .NET library that provides methods for filtering text based on different filter types and match options. It supports glob patterns, regular expressions, and fuzzy matching to help you efficiently filter and search through collections of strings.

Features

  • Glob Pattern Matching: Filter text using glob patterns with optional, required, and excluded tokens.
  • Regular Expression Matching: Filter text using regular expressions.
  • Fuzzy Matching: Rank text based on how well it matches a fuzzy pattern.
  • Customizable Match Options: Match by whole string, all words, or any word.

Installation

Package Manager Console

Install-Package ktsu.TextFilter

.NET CLI

dotnet add package ktsu.TextFilter

Package Reference

<PackageReferenceInclude="ktsu.TextFilter"Version="x.y.z" />

Usage Examples

Basic Example

usingktsu.TextFilter;stringtext="Hello, World!";stringpattern="Hello*";boolisMatch=TextFilter.Match(text,pattern);

Filtering Collections

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello*";IEnumerable<string>matches=TextFilter.Filter(texts,pattern);

Ranking Results

usingktsu.TextFilter;string[]texts=newstring[]{"Hello, World!","Goodbye, World!"};stringpattern="Hello";IEnumerable<string>ranked=TextFilter.Rank(texts,pattern);

Advanced Usage

Match Options

You can customize how matching is performed using the MatchOptions enum:

usingktsu.TextFilter;stringtext="Hello beautiful world";stringpattern="hello world";// Match by any word in the patternboolanyWordMatch=TextFilter.Match(text,pattern,MatchOptions.AnyWord);// Match by all words in the patternboolallWordsMatch=TextFilter.Match(text,pattern,MatchOptions.AllWords);// Match the entire stringboolwholeStringMatch=TextFilter.Match(text,pattern,MatchOptions.WholeString);

Filter Types

TextFilter supports different filter types:

usingktsu.TextFilter;stringtext="Hello, World!";stringglobPattern="Hello*";stringregexPattern="^Hello";// Glob pattern matchingboolglobMatch=TextFilter.Match(text,globPattern,filterType:FilterType.Glob);// Regular expression matchingboolregexMatch=TextFilter.Match(text,regexPattern,filterType:FilterType.Regex);// Fuzzy matchingboolfuzzyMatch=TextFilter.Match(text,"Helo",filterType:FilterType.Fuzzy);

API Reference

TextFilter Class

The primary class for text filtering operations.

Methods

NameReturn TypeDescription
Match(string text, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)boolTests if the input text matches the specified pattern
Filter(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString, FilterType filterType = FilterType.Glob)IEnumerable<string>Returns all texts that match the pattern
Rank(IEnumerable<string> texts, string pattern, MatchOptions options = MatchOptions.WholeString)IEnumerable<string>Returns texts ranked by how well they match the pattern

Enums

MatchOptions

ValueDescription
WholeStringMatch the entire string against the pattern
AllWordsMatch all words in the pattern against the string
AnyWordMatch any word in the pattern against the string

FilterType

ValueDescription
GlobUse glob pattern matching
RegexUse regular expression matching
FuzzyUse fuzzy matching

Contributing

Contributions are welcome! For feature requests, bug reports, or questions, please open an issue on GitHub. If you would like to contribute code, please open a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

About

A library providing methods for matching and filtering text. It supports glob patterns, regular expressions, and fuzzy matching.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages