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AIProject.py
AIProject.py
Project Report.pdf
Project Report.pdf
README.md
README.md
input.csv
input.csv
output.csv
output.csv

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Command to run python file: python AIProject.py

-Input to the program: Input will be given as a CSV file whose format is given below:

CourseName, Core or Elective, Day and time appended together

e.g AI,elective,Monday1,Wednesday3

i.e. AI is an elective course which can happen on Monday at 1pm or on Wednesday at 3pm.

Last row of the CSV file contains the name of available rooms

e.g. Room1, Room2

-Program asks the user to provide the path to the inut CSV file. Preferably keep the input CSV file in the same folder as of python program.

-Then program asks the user to choose between two algorithms for the Constraint Satisfaction Problem

  1. Backtracking
  2. Minimum Remaining Values using Least constraing Value

-Program prints the assignment of time and day to all the courses if an assignment is possible. Otherwise program prints that no assignment is possible.

-Program creates a CSV file for the output as well as it prints the output on the console. format of the output: subject name, day and time assigned, room assigned

About

No description, website, or topics provided.

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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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input.csv
input.csv
output.csv
output.csv
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Command to run python file:
python AIProject.py
-Input to the program:
Input will be given as a CSV file whose format is given below:
CourseName, Core or Elective, Day and time appended together
e.g AI,elective,Monday1,Wednesday3
i.e. AI is an elective course which can happen on Monday at 1pm or on Wednesday at 3pm.
Last row of the CSV file contains the name of available rooms
e.g. Room1, Room2
-Program asks the user to provide the path to the inut CSV file. Preferably keep the input CSV file in the same folder as of python program.
-Then program asks the user to choose between two algorithms for the Constraint Satisfaction Problem
  1. Backtracking
  2. Minimum Remaining Values using Least constraing Value
-Program prints the assignment of time and day to all the courses if an assignment is possible.
Otherwise program prints that no assignment is possible.
-Program creates a CSV file for the output as well as it prints the output on the console.
format of the output: subject name, day and time assigned, room assigned
About
No description, website, or topics provided.
Resources
Readme
Activity
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1 watching
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0 forks
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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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Project Report.pdf
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README.md
input.csv
input.csv
output.csv
output.csv
Repository files navigation
Command to run python file:
python AIProject.py
-Input to the program:
Input will be given as a CSV file whose format is given below:
CourseName, Core or Elective, Day and time appended together
e.g AI,elective,Monday1,Wednesday3
i.e. AI is an elective course which can happen on Monday at 1pm or on Wednesday at 3pm.
Last row of the CSV file contains the name of available rooms
e.g. Room1, Room2
-Program asks the user to provide the path to the inut CSV file. Preferably keep the input CSV file in the same folder as of python program.
-Then program asks the user to choose between two algorithms for the Constraint Satisfaction Problem
  1. Backtracking
  2. Minimum Remaining Values using Least constraing Value
-Program prints the assignment of time and day to all the courses if an assignment is possible.
Otherwise program prints that no assignment is possible.
-Program creates a CSV file for the output as well as it prints the output on the console.
format of the output: subject name, day and time assigned, room assigned
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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, '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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AIProject.py
AIProject.py
Project Report.pdf
Project Report.pdf
README.md
README.md
input.csv
input.csv
output.csv
output.csv
Repository files navigation
Command to run python file:
python AIProject.py
-Input to the program:
Input will be given as a CSV file whose format is given below:
CourseName, Core or Elective, Day and time appended together
e.g AI,elective,Monday1,Wednesday3
i.e. AI is an elective course which can happen on Monday at 1pm or on Wednesday at 3pm.
Last row of the CSV file contains the name of available rooms
e.g. Room1, Room2
-Program asks the user to provide the path to the inut CSV file. Preferably keep the input CSV file in the same folder as of python program.
-Then program asks the user to choose between two algorithms for the Constraint Satisfaction Problem
  1. Backtracking
  2. Minimum Remaining Values using Least constraing Value
-Program prints the assignment of time and day to all the courses if an assignment is possible.
Otherwise program prints that no assignment is possible.
-Program creates a CSV file for the output as well as it prints the output on the console.
format of the output: subject name, day and time assigned, room assigned
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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, '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" + '

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3 Commits
Folders and files
NameName
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AIProject.py
AIProject.py
Project Report.pdf
Project Report.pdf
README.md
README.md
input.csv
input.csv
output.csv
output.csv
Repository files navigation
Command to run python file:
python AIProject.py
-Input to the program:
Input will be given as a CSV file whose format is given below:
CourseName, Core or Elective, Day and time appended together
e.g AI,elective,Monday1,Wednesday3
i.e. AI is an elective course which can happen on Monday at 1pm or on Wednesday at 3pm.
Last row of the CSV file contains the name of available rooms
e.g. Room1, Room2
-Program asks the user to provide the path to the inut CSV file. Preferably keep the input CSV file in the same folder as of python program.
-Then program asks the user to choose between two algorithms for the Constraint Satisfaction Problem
  1. Backtracking
  2. Minimum Remaining Values using Least constraing Value
-Program prints the assignment of time and day to all the courses if an assignment is possible.
Otherwise program prints that no assignment is possible.
-Program creates a CSV file for the output as well as it prints the output on the console.
format of the output: subject name, day and time assigned, room assigned
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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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3 Commits
Folders and files
NameName
Last commit message
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AIProject.py
AIProject.py
Project Report.pdf
Project Report.pdf
README.md
README.md
input.csv
input.csv
output.csv
output.csv
Repository files navigation
Command to run python file:
python AIProject.py
-Input to the program:
Input will be given as a CSV file whose format is given below:
CourseName, Core or Elective, Day and time appended together
e.g AI,elective,Monday1,Wednesday3
i.e. AI is an elective course which can happen on Monday at 1pm or on Wednesday at 3pm.
Last row of the CSV file contains the name of available rooms
e.g. Room1, Room2
-Program asks the user to provide the path to the inut CSV file. Preferably keep the input CSV file in the same folder as of python program.
-Then program asks the user to choose between two algorithms for the Constraint Satisfaction Problem
  1. Backtracking
  2. Minimum Remaining Values using Least constraing Value
-Program prints the assignment of time and day to all the courses if an assignment is possible.
Otherwise program prints that no assignment is possible.
-Program creates a CSV file for the output as well as it prints the output on the console.
format of the output: subject name, day and time assigned, room assigned
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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('^' + ".*" + '

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3 Commits
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NameName
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AIProject.py
AIProject.py
Project Report.pdf
Project Report.pdf
README.md
README.md
input.csv
input.csv
output.csv
output.csv
Repository files navigation
Command to run python file:
python AIProject.py
-Input to the program:
Input will be given as a CSV file whose format is given below:
CourseName, Core or Elective, Day and time appended together
e.g AI,elective,Monday1,Wednesday3
i.e. AI is an elective course which can happen on Monday at 1pm or on Wednesday at 3pm.
Last row of the CSV file contains the name of available rooms
e.g. Room1, Room2
-Program asks the user to provide the path to the inut CSV file. Preferably keep the input CSV file in the same folder as of python program.
-Then program asks the user to choose between two algorithms for the Constraint Satisfaction Problem
  1. Backtracking
  2. Minimum Remaining Values using Least constraing Value
-Program prints the assignment of time and day to all the courses if an assignment is possible.
Otherwise program prints that no assignment is possible.
-Program creates a CSV file for the output as well as it prints the output on the console.
format of the output: subject name, day and time assigned, room assigned
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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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NameName
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AIProject.py
AIProject.py
Project Report.pdf
Project Report.pdf
README.md
README.md
input.csv
input.csv
output.csv
output.csv
Repository files navigation
Command to run python file:
python AIProject.py
-Input to the program:
Input will be given as a CSV file whose format is given below:
CourseName, Core or Elective, Day and time appended together
e.g AI,elective,Monday1,Wednesday3
i.e. AI is an elective course which can happen on Monday at 1pm or on Wednesday at 3pm.
Last row of the CSV file contains the name of available rooms
e.g. Room1, Room2
-Program asks the user to provide the path to the inut CSV file. Preferably keep the input CSV file in the same folder as of python program.
-Then program asks the user to choose between two algorithms for the Constraint Satisfaction Problem
  1. Backtracking
  2. Minimum Remaining Values using Least constraing Value
-Program prints the assignment of time and day to all the courses if an assignment is possible.
Otherwise program prints that no assignment is possible.
-Program creates a CSV file for the output as well as it prints the output on the console.
format of the output: subject name, day and time assigned, room assigned
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages