19 lines
14 KiB
Python
19 lines
14 KiB
Python
FuckList: dict[str] = [
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"Termination", "Initiation", "Operation", "Maintenance", "Upgrade", "Debug", "Deploy", "Install", "Uninstall", "Configure", "Optimize", "Monitor", "Analyze", "Evaluate", "Test", "Verify", "Validate", "Execute", "Run", "Stop", "Pause", "Resume", "Restart", "Shutdown", "Boot", "Login", "Logout", "Register", "Cancel", "Submit", "Approval", "Reject", "Update", "Downgrade", "Backup", "Restore", "Compress", "Decompress", "Encrypt", "Decrypt", "Import", "Export", "Save", "Load", "Delete", "Copy", "Paste", "Cut", "Undo", "Redo", "Search", "Find", "Replace", "Sort", "Filter", "Group", "Merge", "Split", "Join", "Link", "Unlink", "Attach", "Detach", "Enable", "Disable", "Activate", "Deactivate", "Suspend", "Resume", "Expire", "Renew", "Expansion", "Contraction", "Creation", "Destruction", "Modification", "Transformation", "Conversion", "Transmission", "Reception", "Processing", "Storage", "Retrieval", "Display", "Hide", "Show", "Present", "Demonstrate", "Explain", "Describe", "Define", "Classify", "Categorize", "Identify", "Recognize", "Distinguish", "Differentiate", "Compare", "Contrast", "Relate", "Associate", "Correlate", "Integrate", "Separate", "Isolate", "Combine", "Aggregate", "Disaggregate", "Summarize", "Detail", "Elaborate", "Simplify", "Complicate", "Clarify", "Obscure", "Highlight", "Emphasize", "Stress", "Minimize", "Maximize", "Reduce", "Increase", "Enhance", "Improve", "Diminish", "Worsen", "Amplify", "Attenuate", "Strengthen", "Weaken", "Stabilize", "Destabilize", "Normalize", "Standardize", "Customize", "Personalize", "Generalize", "Specialize", "Localize", "Globalize", "Centralize", "Decentralize", "Automate", "Manualize", "Mechanize", "Humanize", "Digitize", "Analogize", "Virtualize", "Materialize", "Immaterialize", "Actualize", "Potentialize", "Realize", "Idealize", "Visualize", "Audibilize", "Sensualize", "Conceptualize", "Theorize", "Practicalize", "Abstract", "Concrete", "Specific", "General", "Particular", "Universal", "Individual", "Collective", "Singular", "Plural", "Unique", "Common", "Rare", "Frequent", "Occasional", "Permanent", "Temporary", "Transient", "Durable", "Fragile", "Stable", "Volatile", "Static", "Dynamic", "Active", "Passive", "Positive", "Negative", "Neutral", "Beneficial", "Harmful", "Useful", "Useless", "Effective", "Ineffective", "Efficient", "Inefficient", "Sufficient", "Insufficient", "Adequate", "Inadequate", "Abundant", "Scarce", "Plentiful", "Meager", "Excessive", "Deficient", "Surplus", "Shortage", "Full", "Empty", "Complete", "Incomplete", "Whole", "Partial", "Total", "Fractional", "Entire", "Part", "All", "Some", "None", "Any", "Every", "Each", "Either", "Neither", "Many", "Much", "Few", "Little", "More", "Less", "Most", "Least", "Some", "Several", "Numerous", "Countless", "Infinite", "Finite", "Limited", "Unlimited", "Boundless", "Restricted", "Unrestricted", "Open", "Closed", "Public", "Private", "Secret", "Confidential", "Public", "Private", "Internal", "External", "Domestic", "Foreign", "Local", "Remote", "Near", "Far", "Close", "Distant", "Proximate", "Ultimate", "Immediate", "Mediate", "Direct", "Indirect", "Straight", "Curved", "Circular", "Linear", "Angular", "Round", "Square", "Rectangular", "Triangular", "Polygonal", "Symmetrical", "Asymmetrical", "Regular", "Irregular", "Uniform", "Non-uniform", "Consistent", "Inconsistent", "Continuous", "Discontinuous", "Intermittent", "Permanent", "Temporary", "Steady", "Unsteady", "Smooth", "Rough", "Even", "Uneven", "Flat", "Rounded", "Sharp", "Blunt", "Hard", "Soft", "Solid", "Liquid", "Gas", "Plasma", "Viscous", "Fluid", "Rigid", "Flexible", "Elastic", "Inelastic", "Plastic", "Brittle", "Ductile", "Malleable", "Fragile", "Strong", "Weak", "Heavy", "Light", "Thick", "Thin", "Long", "Short", "Wide", "Narrow", "Tall", "Short", "High", "Low", "Deep", "Shallow", "Large", "Small", "Big", "Little", "Huge", "Tiny", "Giant", "Miniature", "Massive", "Minuscule", "Enormous", "Petite", "Vast", "Narrow", "Broad", "Slim", "Thickset", "Stout", "Slender", "Stocky", "Compact", "Bulky", "Sparse", "Dense", "Crowded", "Empty", "Full", "Packed", "Sparse", "Scattered", "Concentrated", "Dispersed", "Clustered", "Isolated", "Connected", "Disconnected", "Attached", "Detached", "Linked", "Unlinked", "Associated", "Unassociated", "Related", "Unrelated", "Correlated", "Uncorrelated", "Coupled", "Decoupled", "Integrated", "Segregated", "Merged", "Split", "Combined", "Separated", "Unified", "Divided", "Aggregated", "Disaggregated", "Grouped", "Ungrouped", "Organized", "Disorganized", "Systematic", "Haphazard", "Orderly", "Chaotic", "Regular", "Irregular", "Symmetrical", "Asymmetrical", "Balanced", "Unbalanced", "Harmonious", "Discordant", "Consistent", "Inconsistent", "Compatible", "Incompatible", "Congruent", "Incongruent", "Concordant", "Discordant", "Agreeable", "Disagreeable", "Pleasant", "Unpleasant", "Nice", "Nasty", "Good", "Bad", "Excellent", "Poor", "Superior", "Inferior", "Better", "Worse", "Best", "Worst", "High-quality", "Low-quality", "Premium", "Budget", "Luxury", "Economy", "Expensive", "Cheap", "Costly", "Affordable", "Priceless", "Valuable", "Worthless", "Useful", "Useless", "Functional", "Dysfunctional", "Operational", "Non-operational", "Working", "Broken", "Repaired", "Unrepaired", "New", "Old", "Ancient", "Modern", "Contemporary", "Traditional", "Classic", "Novel", "Original", "Copy", "Imitation", "Genuine", "Fake", "Authentic", "Counterfeit", "Real", "Artificial", "Natural", "Synthetic", "Organic", "Inorganic", "Living", "Non-living", "Alive", "Dead", "Active", "Inactive", "Dynamic", "Static", "Mobile", "Stationary", "Moving", "Still", "Fast", "Slow", "Rapid", "Gradual", "Quick", "Slow", "Hasty", "Leisurely", "Speedy", "Sluggish", "Prompt", "Delayed", "Early", "Late", "Timely", "Untimely", "Punctual", "Tardy", "Immediate", "Deferred", "Instant", "Gradual", "Sudden", "Abrupt", "Smooth", "Rough", "Easy", "Difficult", "Simple", "Complex", "Complicated", "Straightforward", "Easy", "Hard", "Effortless", "Laborious", "Simple", "Sophisticated", "Basic", "Advanced", "Elementary", "Complex", "Primary", "Secondary", "Tertiary", "Initial", "Final", "Intermediate", "Beginner", "Intermediate", "Advanced", "Expert", "Amateur", "Professional", "Novice", "Veteran", "Newbie", "Pro", "Rookie", "Master", "Apprentice", "Learner", "Teacher", "Instructor", "Trainer", "Student", "Pupil", "Scholar", "Academic", "Researcher", "Scientist", "Engineer", "Technician", "Developer", "Programmer", "Coder", "Designer", "Artist", "Creator", "Producer", "Director", "Manager", "Leader", "Supervisor", "Worker", "Employee", "Employer", "Boss", "Staff", "Team", "Group", "Organization", "Company", "Firm", "Enterprise", "Business", "Corporation", "Institution", "Agency", "Department", "Division", "Unit", "Section", "Branch", "Office", "Location", "Site", "Place", "Area", "Region", "Zone", "Country", "Nation", "State", "City", "Town", "Village", "Community", "Neighborhood", "District", "Province", "County", "Municipality", "Territory", "Continent", "World", "Globe", "Earth", "Planet", "Star", "Sun", "Moon", "Galaxy", "Universe", "Space", "Time", "Date", "Day", "Night", "Morning", "Afternoon", "Evening", "Midnight", "Noon", "Hour", "Minute", "Second", "Millisecond", "Microsecond", "Nanosecond", "Year", "Month", "Week", "Quarter", "Decade", "Century", "Millennium", "Past", "Present", "Future", "Yesterday", "Today", "Tomorrow", "Now", "Then", "Soon", "Later", "Early", "Late", "Recently", "Previously", "Originally", "Subsequently", "Eventually", "Finally", "Initially", "First", "Second", "Third", "Fourth", "Fifth", "Last", "Next", "Previous", "Before", "After", "During", "While", "When", "Where", "Why", "How", "What", "Who", "Which", "Whom", "Whose", "This", "That", "These", "Those", "Here", "There", "Hither", "Thither", "Hence", "Thence", "Thus", "Therefore", "Henceforth", "Thereby", "Whereby", "Whereas", "Although", "Though", "Even though", "While", "Whereas", "Since", "Because", "As", "For", "So", "Therefore", "Hence", "Consequently", "Accordingly", "Thus", "Ergo", "Then", "So that", "In order that", "Lest", "Unless", "If", "Whether", "Provided that", "On condition that", "In case", "Suppose", "Assuming", "Given that", "Granted that", "Admitting that", "Conceding that", "Allowing that", "Considering that", "Seeing that", "Now that", "Once", "As soon as", "When", "While", "Whenever", "Wherever", "However", "Nevertheless", "Nonetheless", "Still", "Yet", "But", "Though", "Although", "Even so", "On the other hand", "In contrast", "Conversely", "Instead", "Rather", "Alternatively", "Otherwise", "Else", "Besides", "Moreover", "Furthermore", "Additionally", "Also", "Too", "As well", "In addition", "What's more", "Again", "Besides", "Likewise", "Similarly", "Equally", "In the same way", "By the same token", "For example", "For instance", "Such as", "Namely", "That is", "In other words", "To wit", "Viz.", "I.e.", "E.g.", "In particular", "Specifically", "Especially", "Notably", "Particularly", "Chiefly", "Mainly", "Primarily", "Principally", "Generally", "Ordinarily", "Usually", "Normally", "Typically", "Customarily", "Commonly", "Frequently", "Often", "Regularly", "Sometimes", "Occasionally", "Seldom", "Rarely", "Hardly ever", "Never", "Always", "Forever", "Eternally", "Perpetually", "Constantly", "Continuously", "Unceasingly", "Endlessly", "Infinitely", "Boundlessly", "Limitlessly", "Unlimitedly", "Unrestrictedly", "Freely", "Openly", "Publicly", "Privately", "Secretly", "Confidentially", "Covertly", "Overtly", "Explicitly", "Implicitly", "Clearly", "Plainly", "Obvious", "Evidently", "Manifestly", "Patently", "Apparently", "Seemingly", "Ostensibly", "Purportedly", "Allegedly", "Supposedly", "Reportedly", "Claimedly", "Assertedly", "Professedly", "Pretendedly", "Falsely", "Truly", "Really", "Actually", "In fact", "Indeed", "Certainly", "Definitely", "Absolutely", "Positively", "Surely", "Undoubtedly", "Indubitably", "Unquestionably", "Beyond doubt", "Without doubt", "No doubt", "Doubtless", "Probably", "Likely", "Possibly", "Perhaps", "Maybe", "Potentially", " Conceivably", "Plausibly", "Credibly", "Believably", "Rationally", "Logically", "Reasonably", "Sensibly", "Judiciously", "Wisely", "Prudently", "Cautiously", "Carefully", "Attentively", "Meticulously", "Thoroughly", "Completely", "Entirely", "Fully", "Totally", "Wholly", "Absolutely", "Utterly", "Perfectly", "Excellently", "Admirably", "Splendidly", "Magnificently", "Brilliantly", "Wonderfully", "Marvellously", "Exceptionally", "Extraordinarily", "Remarkably", "Notably", "Significantly", "Importantly", "Chiefly", "Mainly", "Primarily", "Principally", "Largely", "Predominantly", "Chiefly", "Mainly", "Mostly", "Generally", "Ordinarily", "Usually", "Normally", "Typically", "Customarily", "Commonly", "Frequently", "Often", "Regularly", "Sometimes", "Occasionally", "Seldom", "Rarely", "Hardly ever", "Never", "Always", "Forever", "Eternally", "Perpetually", "Constantly", "Continuously", "Unceasingly", "Endlessly", "Infinitely", "Boundlessly", "Limitlessly", "Unlimitedly", "Unrestrictedly", "Freely", "Openly", "Publicly", "Privately", "Secretly", "Confidentially", "Covertly", "Overtly", "Explicitly", "Implicitly", "Clearly", "Plainly", "Obvious", "Evidently", "Manifestly", "Patently", "Apparently", "Seemingly", "Ostensibly", "Purportedly", "Allegedly", "Supposedly", "Reportedly", "Claimedly", "Assertedly", "Professedly", "Pretendedly", "Falsely", "Truly", "Really", "Actually", "In fact", "Indeed", "Certainly", "Definitely", "Absolutely", "Positively", "Surely", "Undoubtedly", "Indubitably", "Unquestionably", "Beyond doubt", "Without doubt", "No doubt", "Doubtless", "Probably", "Likely", "Possibly", "Perhaps", "Maybe", "Potentially", " Conceivably", "Plausibly", "Credibly", "Believably", "Rationally", "Logically", "Reasonably", "Sensibly", "Judiciously", "Wisely", "Prudently", "Cautiously", "Carefully", "Attentively", "Meticulously", "Thoroughly", "Completely", "Entirely", "Fully", "Totally", "Wholly", "Absolutely", "Utterly", "Perfectly", "Excellently", "Admirably", "Splendidly", "Magnificently", "Brilliantly", "Wonderfully", "Marvellously", "Exceptionally", "Extraordinarily", "Remarkably", "Notably", "Significantly", "Importantly",
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"CodeyZhang", "MicGan", "LeiJun", "HanGao", "ElonMusk", "BillGates", "SteveJobs", "JackMa", "PonyMa", "LarryPage"
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"YRZD", "CPU", "GPU", "NPU", "TPU", "FPGA", "ASIC", "RAM", "ROM", "SSD", "HDD", "API", "SDK", "IDE", "OS",
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"Minecraft", "Server", "Client", "Database", "Router", "Switch", "Laptop", "Smartphone", "Tablet", "Headphone", "Monitor", "Keyboard", "Mouse", "Printer", "Scanner", "Camera", "XiaoMi", "iPhone", "iPad", "MacBook", "Windows", "Linux", "Android", "iOS", "Ubuntu", "Fedora", "Debian", "Chrome", "Firefox", "Safari", "Edge",
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"Python", "C", "CPP", "Rust", "Html", "JavaScript", "CSS", "SQL", "Java", "Kotlin", "Swift", "Go", "PHP", "TypeScript", "Ruby", "Perl", "R", "MATLAB", "Scala", "Haskell", "Lua", "Shell", "Assembly", "Objective-C",
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"React", "Vue", "Angular", "Node.js", "Express", "Django", "Flask", "Ruby on Rails", "Spring", "MyBatis", "Hibernate", "TensorFlow", "PyTorch", "Keras", "Scikit-learn", "Pandas", "NumPy", "Matplotlib", "Vuex", "Redux", "Next.js", "Nuxt.js", "Svelte", "FastAPI", "Laravel", "Symfony", "CodeIgniter",
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"MachineLearning", "DeepLearning", "ArtificialIntelligence", "BigData", "CloudComputing", "EdgeComputing", "Blockchain", "InternetOfThings", "Cybersecurity", "WebDevelopment", "MobileDevelopment", "GameDevelopment", "DataScience", "DataMining", "ComputerVision", "NaturalLanguageProcessing", "DistributedSystem", "ParallelComputing", "Microservices", "Docker", "Kubernetes", "Git", "GitHub", "GitLab", "CI/CD"
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"She", "He", "EveryBody", "EveryOne", "AnyBody", "AnyOne", "You"
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]
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def _Fuck(_FuckList) -> str:
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return ", ".join([f"Fuck {i}" for i in _FuckList])
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def Fuck() -> None:
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print(_Fuck(FuckList))
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def FormatFuck() -> str:
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return _Fuck(FuckList) |