Repository files navigation

Keyword Counter implementation using Max Fibonacci Heap and Hash table

** --------------- FILES in Folder ---------------- **

Java Files:

keywordcounter.java -> Primary .java file, acts as the entry-point.

Most_Frequent_Search.java -> Populates the hash-map, calls Fibonacci Heap functions and returns top n keywords.

Max_Fib_Heap.java -> Max Fibonacci Heap Functions Implementation.

Other Files:

makefile -> Compiles the java files Readme.md -> Instructions to run

Report.pdf -> Report for the project

sample1.txt -> Sample Test File 1

sample2.txt -> Sample Test File 2

sample_large.txt -> Sample Test File 3

output_file1.txt -> Output to Sample Test File 1

output_file2.txt -> Output to Sample Test File 2

output_large.txt -> Output to Sample Test File 3

NOTE: sample1.txt is the one that professor provided us along with the problem statement. sample2.txt and sample3.txt are two new test cases.

** -------------- Instructions to run ------------- **

  1. Login to thunder.cise.ufl.edu
  2. Extract files from Zip folder
  3. Change directory to corresponding extracted folder
  4. Type ‘make’ without the quotes and enter. The java files should compile.
  5. Type ‘java keywordcounter <test_file_name.txt>’ and enter
  6. Output can be accessed from the newly generated “output_file.txt” file in the same folder as input file.

** ---------------- Language used --------------- **

Java

** ------------ Data Structures used ------------ **

  1. Max Fibonacci heap: Keeps track of the keywords as Nodes. The maximum node or root contains the keyword with maximum frequency.
  2. Hash Map: Keeps track of the keywords and their corresponding nodes in the Max Fibonacci Heap using key-value pair with key being the keyword and value as the pointer to the corresponding node.

About

Keyword Counter implementation using Max Fibonacci Heaps and Hash table. Determines most frequently searched keywords in a search engine.

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, '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" + '
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Repository files navigation

Keyword Counter implementation using Max Fibonacci Heap and Hash table

** --------------- FILES in Folder ---------------- **

Java Files:

keywordcounter.java -> Primary .java file, acts as the entry-point.

Most_Frequent_Search.java -> Populates the hash-map, calls Fibonacci Heap functions and returns top n keywords.

Max_Fib_Heap.java -> Max Fibonacci Heap Functions Implementation.

Other Files:

makefile -> Compiles the java files Readme.md -> Instructions to run

Report.pdf -> Report for the project

sample1.txt -> Sample Test File 1

sample2.txt -> Sample Test File 2

sample_large.txt -> Sample Test File 3

output_file1.txt -> Output to Sample Test File 1

output_file2.txt -> Output to Sample Test File 2

output_large.txt -> Output to Sample Test File 3

NOTE: sample1.txt is the one that professor provided us along with the problem statement. sample2.txt and sample3.txt are two new test cases.

** -------------- Instructions to run ------------- **

  1. Login to thunder.cise.ufl.edu
  2. Extract files from Zip folder
  3. Change directory to corresponding extracted folder
  4. Type ‘make’ without the quotes and enter. The java files should compile.
  5. Type ‘java keywordcounter <test_file_name.txt>’ and enter
  6. Output can be accessed from the newly generated “output_file.txt” file in the same folder as input file.

** ---------------- Language used --------------- **

Java

** ------------ Data Structures used ------------ **

  1. Max Fibonacci heap: Keeps track of the keywords as Nodes. The maximum node or root contains the keyword with maximum frequency.
  2. Hash Map: Keeps track of the keywords and their corresponding nodes in the Max Fibonacci Heap using key-value pair with key being the keyword and value as the pointer to the corresponding node.

About

Keyword Counter implementation using Max Fibonacci Heaps and Hash table. Determines most frequently searched keywords in a search engine.

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0 watching

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, '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('^' + ".*" + '
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Repository files navigation

Keyword Counter implementation using Max Fibonacci Heap and Hash table

** --------------- FILES in Folder ---------------- **

Java Files:

keywordcounter.java -> Primary .java file, acts as the entry-point.

Most_Frequent_Search.java -> Populates the hash-map, calls Fibonacci Heap functions and returns top n keywords.

Max_Fib_Heap.java -> Max Fibonacci Heap Functions Implementation.

Other Files:

makefile -> Compiles the java files Readme.md -> Instructions to run

Report.pdf -> Report for the project

sample1.txt -> Sample Test File 1

sample2.txt -> Sample Test File 2

sample_large.txt -> Sample Test File 3

output_file1.txt -> Output to Sample Test File 1

output_file2.txt -> Output to Sample Test File 2

output_large.txt -> Output to Sample Test File 3

NOTE: sample1.txt is the one that professor provided us along with the problem statement. sample2.txt and sample3.txt are two new test cases.

** -------------- Instructions to run ------------- **

  1. Login to thunder.cise.ufl.edu
  2. Extract files from Zip folder
  3. Change directory to corresponding extracted folder
  4. Type ‘make’ without the quotes and enter. The java files should compile.
  5. Type ‘java keywordcounter <test_file_name.txt>’ and enter
  6. Output can be accessed from the newly generated “output_file.txt” file in the same folder as input file.

** ---------------- Language used --------------- **

Java

** ------------ Data Structures used ------------ **

  1. Max Fibonacci heap: Keeps track of the keywords as Nodes. The maximum node or root contains the keyword with maximum frequency.
  2. Hash Map: Keeps track of the keywords and their corresponding nodes in the Max Fibonacci Heap using key-value pair with key being the keyword and value as the pointer to the corresponding node.

About

Keyword Counter implementation using Max Fibonacci Heaps and Hash table. Determines most frequently searched keywords in a search engine.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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('^' + ".*" + '
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Repository files navigation

Keyword Counter implementation using Max Fibonacci Heap and Hash table

** --------------- FILES in Folder ---------------- **

Java Files:

keywordcounter.java -> Primary .java file, acts as the entry-point.

Most_Frequent_Search.java -> Populates the hash-map, calls Fibonacci Heap functions and returns top n keywords.

Max_Fib_Heap.java -> Max Fibonacci Heap Functions Implementation.

Other Files:

makefile -> Compiles the java files Readme.md -> Instructions to run

Report.pdf -> Report for the project

sample1.txt -> Sample Test File 1

sample2.txt -> Sample Test File 2

sample_large.txt -> Sample Test File 3

output_file1.txt -> Output to Sample Test File 1

output_file2.txt -> Output to Sample Test File 2

output_large.txt -> Output to Sample Test File 3

NOTE: sample1.txt is the one that professor provided us along with the problem statement. sample2.txt and sample3.txt are two new test cases.

** -------------- Instructions to run ------------- **

  1. Login to thunder.cise.ufl.edu
  2. Extract files from Zip folder
  3. Change directory to corresponding extracted folder
  4. Type ‘make’ without the quotes and enter. The java files should compile.
  5. Type ‘java keywordcounter <test_file_name.txt>’ and enter
  6. Output can be accessed from the newly generated “output_file.txt” file in the same folder as input file.

** ---------------- Language used --------------- **

Java

** ------------ Data Structures used ------------ **

  1. Max Fibonacci heap: Keeps track of the keywords as Nodes. The maximum node or root contains the keyword with maximum frequency.
  2. Hash Map: Keeps track of the keywords and their corresponding nodes in the Max Fibonacci Heap using key-value pair with key being the keyword and value as the pointer to the corresponding node.

About

Keyword Counter implementation using Max Fibonacci Heaps and Hash table. Determines most frequently searched keywords in a search engine.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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

Keyword Counter implementation using Max Fibonacci Heap and Hash table

** --------------- FILES in Folder ---------------- **

Java Files:

keywordcounter.java -> Primary .java file, acts as the entry-point.

Most_Frequent_Search.java -> Populates the hash-map, calls Fibonacci Heap functions and returns top n keywords.

Max_Fib_Heap.java -> Max Fibonacci Heap Functions Implementation.

Other Files:

makefile -> Compiles the java files Readme.md -> Instructions to run

Report.pdf -> Report for the project

sample1.txt -> Sample Test File 1

sample2.txt -> Sample Test File 2

sample_large.txt -> Sample Test File 3

output_file1.txt -> Output to Sample Test File 1

output_file2.txt -> Output to Sample Test File 2

output_large.txt -> Output to Sample Test File 3

NOTE: sample1.txt is the one that professor provided us along with the problem statement. sample2.txt and sample3.txt are two new test cases.

** -------------- Instructions to run ------------- **

  1. Login to thunder.cise.ufl.edu
  2. Extract files from Zip folder
  3. Change directory to corresponding extracted folder
  4. Type ‘make’ without the quotes and enter. The java files should compile.
  5. Type ‘java keywordcounter <test_file_name.txt>’ and enter
  6. Output can be accessed from the newly generated “output_file.txt” file in the same folder as input file.

** ---------------- Language used --------------- **

Java

** ------------ Data Structures used ------------ **

  1. Max Fibonacci heap: Keeps track of the keywords as Nodes. The maximum node or root contains the keyword with maximum frequency.
  2. Hash Map: Keeps track of the keywords and their corresponding nodes in the Max Fibonacci Heap using key-value pair with key being the keyword and value as the pointer to the corresponding node.

About

Keyword Counter implementation using Max Fibonacci Heaps and Hash table. Determines most frequently searched keywords in a search engine.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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('^' + ".*" + '
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Repository files navigation

Keyword Counter implementation using Max Fibonacci Heap and Hash table

** --------------- FILES in Folder ---------------- **

Java Files:

keywordcounter.java -> Primary .java file, acts as the entry-point.

Most_Frequent_Search.java -> Populates the hash-map, calls Fibonacci Heap functions and returns top n keywords.

Max_Fib_Heap.java -> Max Fibonacci Heap Functions Implementation.

Other Files:

makefile -> Compiles the java files Readme.md -> Instructions to run

Report.pdf -> Report for the project

sample1.txt -> Sample Test File 1

sample2.txt -> Sample Test File 2

sample_large.txt -> Sample Test File 3

output_file1.txt -> Output to Sample Test File 1

output_file2.txt -> Output to Sample Test File 2

output_large.txt -> Output to Sample Test File 3

NOTE: sample1.txt is the one that professor provided us along with the problem statement. sample2.txt and sample3.txt are two new test cases.

** -------------- Instructions to run ------------- **

  1. Login to thunder.cise.ufl.edu
  2. Extract files from Zip folder
  3. Change directory to corresponding extracted folder
  4. Type ‘make’ without the quotes and enter. The java files should compile.
  5. Type ‘java keywordcounter <test_file_name.txt>’ and enter
  6. Output can be accessed from the newly generated “output_file.txt” file in the same folder as input file.

** ---------------- Language used --------------- **

Java

** ------------ Data Structures used ------------ **

  1. Max Fibonacci heap: Keeps track of the keywords as Nodes. The maximum node or root contains the keyword with maximum frequency.
  2. Hash Map: Keeps track of the keywords and their corresponding nodes in the Max Fibonacci Heap using key-value pair with key being the keyword and value as the pointer to the corresponding node.

About

Keyword Counter implementation using Max Fibonacci Heaps and Hash table. Determines most frequently searched keywords in a search engine.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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

Keyword Counter implementation using Max Fibonacci Heap and Hash table

** --------------- FILES in Folder ---------------- **

Java Files:

keywordcounter.java -> Primary .java file, acts as the entry-point.

Most_Frequent_Search.java -> Populates the hash-map, calls Fibonacci Heap functions and returns top n keywords.

Max_Fib_Heap.java -> Max Fibonacci Heap Functions Implementation.

Other Files:

makefile -> Compiles the java files Readme.md -> Instructions to run

Report.pdf -> Report for the project

sample1.txt -> Sample Test File 1

sample2.txt -> Sample Test File 2

sample_large.txt -> Sample Test File 3

output_file1.txt -> Output to Sample Test File 1

output_file2.txt -> Output to Sample Test File 2

output_large.txt -> Output to Sample Test File 3

NOTE: sample1.txt is the one that professor provided us along with the problem statement. sample2.txt and sample3.txt are two new test cases.

** -------------- Instructions to run ------------- **

  1. Login to thunder.cise.ufl.edu
  2. Extract files from Zip folder
  3. Change directory to corresponding extracted folder
  4. Type ‘make’ without the quotes and enter. The java files should compile.
  5. Type ‘java keywordcounter <test_file_name.txt>’ and enter
  6. Output can be accessed from the newly generated “output_file.txt” file in the same folder as input file.

** ---------------- Language used --------------- **

Java

** ------------ Data Structures used ------------ **

  1. Max Fibonacci heap: Keeps track of the keywords as Nodes. The maximum node or root contains the keyword with maximum frequency.
  2. Hash Map: Keeps track of the keywords and their corresponding nodes in the Max Fibonacci Heap using key-value pair with key being the keyword and value as the pointer to the corresponding node.

About

Keyword Counter implementation using Max Fibonacci Heaps and Hash table. Determines most frequently searched keywords in a search engine.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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); } })(); })();
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Repository files navigation

Keyword Counter implementation using Max Fibonacci Heap and Hash table

** --------------- FILES in Folder ---------------- **

Java Files:

keywordcounter.java -> Primary .java file, acts as the entry-point.

Most_Frequent_Search.java -> Populates the hash-map, calls Fibonacci Heap functions and returns top n keywords.

Max_Fib_Heap.java -> Max Fibonacci Heap Functions Implementation.

Other Files:

makefile -> Compiles the java files Readme.md -> Instructions to run

Report.pdf -> Report for the project

sample1.txt -> Sample Test File 1

sample2.txt -> Sample Test File 2

sample_large.txt -> Sample Test File 3

output_file1.txt -> Output to Sample Test File 1

output_file2.txt -> Output to Sample Test File 2

output_large.txt -> Output to Sample Test File 3

NOTE: sample1.txt is the one that professor provided us along with the problem statement. sample2.txt and sample3.txt are two new test cases.

** -------------- Instructions to run ------------- **

  1. Login to thunder.cise.ufl.edu
  2. Extract files from Zip folder
  3. Change directory to corresponding extracted folder
  4. Type ‘make’ without the quotes and enter. The java files should compile.
  5. Type ‘java keywordcounter <test_file_name.txt>’ and enter
  6. Output can be accessed from the newly generated “output_file.txt” file in the same folder as input file.

** ---------------- Language used --------------- **

Java

** ------------ Data Structures used ------------ **

  1. Max Fibonacci heap: Keeps track of the keywords as Nodes. The maximum node or root contains the keyword with maximum frequency.
  2. Hash Map: Keeps track of the keywords and their corresponding nodes in the Max Fibonacci Heap using key-value pair with key being the keyword and value as the pointer to the corresponding node.

About

Keyword Counter implementation using Max Fibonacci Heaps and Hash table. Determines most frequently searched keywords in a search engine.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages