import calyx from "calyx"
// protagonist + inciting incident + protagonist’s goal + central conflict.
const logline = calyx.grammar({
"start": "When a {protagonist} {inciting_discovery}, {central_goal}.",
"protagonist": [
"{simple_adj} {protagonist_person}",
"{$wayward_adj} {protagonist_person}"
],
"simple_adj": ["simple", "curious", "naive"],
"wayward_adj": ["wayward", "rebellious", "troubled", "down and out", "burned out"],
"protagonist_person": [
"farm kid",
"teen",
"archaeologist",
"scientist",
"ex-cop",
"store clerk",
"high school teacher"
],
"inciting_discovery": [
"discovers {@pronoun} {has_powers}",
"witnesses {inciting_event}"
],
"inciting_event": [
"a {inciting_adj} {crime_event}",
"a {inciting_adj} attempt to {solidarity_event}",
"a {collective_event} turn {$threatening_adj}",
],
"inciting_adj": [
"strange",
"mysterious",
"chaotic",
"botched",
"thwarted"
],
"crime_event": [
"jewelry heist",
"armed robbery",
"drive-by shooting",
"drug deal",
"ram raid"
],
"solidarity_event": [
"form a union",
"start a co-op",
"fly an indigenous flag"
],
"collective_event": [
"protest march",
"parade",
"carnival",
"concert",
"sports match",
"block party",
"barbeque"
],
"has_powers": [
"has {powers}",
"can do magic",
"has {supernatural} {powers}"
],
"powers": ["powers", "abilities"],
"supernatural": ["magical", "supernatural", "superhuman"],
"central_goal": [
"{protagonist_does} to {liberate_verb} the {liberate_noun} from {main_threat}",
"{protagonist_does} to put an end to {main_threat}"
],
"liberate_verb": ["liberate", "free", "save", "rescue"],
"liberate_noun": ["galaxy", "town", "city", "local mall", "planet", "borough"],
"protagonist_does": [
"{@pronoun} teams up {with_allies}",
"{@pronoun} joins forces {with_allies}",
"{@pronoun} forms an alliance {with_allies}",
"{@pronoun} convinces {allies_group}"
],
"pronoun": ["he", "she"],
"with_allies": [
"with other {allies}",
"with {allies_group}"
],
"allies_group": [
"a {group} of {allies}",
"a {group} of {$wayward_adj} {allies}",
],
"group": ["group", "team", "squad", "collective", "posse"],
"allies": [
"rebel fighters",
"misfits",
"workers",
"mercenaries"
],
"main_threat": [
"the {$threatening_adj} {forces} of {villain}",
"the {$threatening_adj} {villain_corp}"
],
"threatening_adj": ["sinister", "dangerous", "violent", "grim"],
"forces": ["forces", "movements", "machinations"],
"villain": [
"a {villain_adj} {villain_individual}",
"the {villain_corp}"
],
"villain_individual": [
"billionaire",
"oligarch",
"petro-baron",
"spice-baron",
"warlord",
"crime boss"
],
"villain_adj": ["capricious", "rogue", "malicious", "fascist", "delusional"],
"villain_corp": [
"Empire",
"{evil_corp_prefix} {evil_corp} {evil_corp_suffix}",
"{evil_corp} {evil_corp_suffix}",
"{evil_corp_prefix} {evil_corp_suffix}"
],
"evil_corp_prefix": ["Colonial", "Imperial", "Empire", "Dominion"],
"evil_corp": ["Trading", "Trade", "Steamship", "Aerospace", "Petroleum", "Spice"],
"evil_corp_suffix": ["Company", "Federation", "Corporation", "League"]
})
const result = logline.generate()
console.log(result.text)//SCI_AB_A_START the SCI_ACT SCI_AB_A_END XXX
import calyx from "calyx"
const abstract = calyx.grammar({
"start": "{sci_abstract}",
"sci_abstract": "SCI_INTRO_A {sci_abstract_a} SCI_INTRO_THESIS",
sci_abstract_a: "{sci_ab_a_start} the {sci_act} {sci_ab_a_end}",
sci_ab_a_start: [
"{sci_in_this_paper}, we {sci_prove_verb}",
"in fact, few {sci_people} would disagree with",
"given the current status of {sci_buzzword_adj} {sci_buzzword_noun}, {sci_people} {sci_adj_adv} desire",
"after years of {sci_adj} research into {sci_thing_mod}, we {sci_prove_verb}"
],
sci_ab_a_end: ["", "which embodies the {sci_adj} principles of SCI_FIELD"],
// SCI_ACT+50 SCI_ACT_A SCI_THING
// SCI_ACT SCI_ACT_A SCI_THING that SCI_EFFECT
// SCI_ACT_A understanding of
// SCI_ACT_A SCI_ADJ unification of SCI_THING and
// SCI_ACT_A+15 SCI_VERBION of
sci_act: [
"{sci_act_a} {sci_thing}",
"{sci_act_a} {sci_thing} that {sci_effect}",
],
sci_act_a: [
"understanding of",
"{sci_adj} unification of {sci_thing} and",
"{sci_verbion} of"
],
sci_effect: [
"made {sci_verbing} and possibly {sci_verbing} {sci_thing} a reality",
"would allow for further study into {sci_thing}",
"paved the way for the {sci_act_a} {sci_thing}",
"would make {sci_verbing} {sci_thing} a real possibility"
],
sci_verbing: [
"harnessing",
"enabling",
"exploring",
"controlling",
"developing",
"refining",
"architecting",
"investigating",
"improving",
"analyzing",
"constructing",
"simulating",
"evaluating",
"emulating",
"deploying",
"synthesizing",
"visualizing",
"studying"
],
sci_verbion: [
"exploration",
"development",
"refinement",
"investigation",
"analysis",
"improvement",
"emulation",
"simulation",
"construction",
"evaluation",
"deployment",
"synthesis",
"visualization",
"study"
],
sci_in_this_paper: [
"in this paper",
"in this position paper",
"in this work",
"in our research",
"here"
],
sci_thing: ["{sci_thing_p}", "{sci_thing_s}"],
sci_thing_s: [
"courseware",
"e-commerce",
"IPv4",
"IPv6",
"IPv7",
"the memory bus",
"extreme programming",
"the location-identity split",
"Scheme",
"DNS",
"802.11b",
"architecture",
"the Internet",
"consistent hashing",
"the transistor",
"the UNIVAC computer",
"Boolean logic",
"voice-over-IP",
"the World Wide Web",
"Moore's Law",
"the Turing machine",
"e-business",
"context-free grammar",
"evolutionary programming",
"simulated annealing",
"the partition table",
"the lookaside buffer",
"Internet QoS",
"rasterization",
"model checking",
"lambda calculus",
"scatter/gather I/O",
"XML",
"the Ethernet",
"RAID",
"telephony",
"Smalltalk",
"A* search",
"reinforcement learning",
"forward-error correction",
"erasure coding",
"redundancy",
"replication",
"congestion control",
"the producer-consumer problem",
"DHCP",
"write-ahead logging",
"cache coherence"
],
sci_thing_p: [
"DHTs",
"robots",
"agents",
"Markov models",
"SMPs",
"kernels",
"suffix trees",
"spreadsheets",
"operating systems",
"systems",
"interrupts",
"Web services",
"massive multiplayer online role-playing games",
"Byzantine fault tolerance",
"sensor networks",
"online algorithms",
"object-oriented languages",
"information retrieval systems",
"web browsers",
"thin clients",
"B-trees",
"hierarchical databases",
"randomized algorithms",
"flip-flop gates",
"neural networks",
"von Neumann machines",
"digital-to-analog converters",
"journaling file systems",
"expert systems",
"active networks",
"superpages",
"superblocks",
"POWER_OF_TWO bit architectures",
"vacuum tubes",
"I/O automata",
"hash tables",
"red-black trees",
"linked lists",
"fiber-optic cables",
"802.11 mesh networks",
"access points",
"gigabit switches",
"multi-processors",
"compilers",
"semaphores",
"RPCs",
"virtual machines",
"Lamport clocks",
"checksums",
"link-level acknowledgements",
"public-private key pairs",
"symmetric encryption",
"wide-area networks",
"local-area networks",
"write-back caches",
"multicast SCI_SYSTEM_PL",
"SCSI disks"
],
sci_thing_mod: "{sci_thing} CITATION_SOMETIMES",
sci_prove_verb: [
"demonstrate",
"argue",
"prove",
"show",
"disprove",
"validate",
"verify",
"confirm",
"disconfirm"
],
sci_people: [
"leading analysts",
"experts",
"analysts",
"scholars",
"information theorists",
"statisticians",
"computational biologists",
"system administrators",
"electrical engineers",
"cryptographers",
"security experts",
"systems engineers",
"hackers worldwide",
"biologists",
"mathematicians",
"physicists",
"theorists",
"researchers",
"steganographers",
"cyberinformaticians",
"end-users",
"futurists",
"cyberneticists"
],
sci_buzzword_adj: [
"peer-to-peer",
"game-theoretic",
"knowledge-based",
"relational",
"compact",
"ubiquitous",
"linear-time",
"‘fuzzy’",
"embedded",
"constant-time",
"client-server",
"efficient",
"reliable",
"replicated",
"low-energy",
"omniscient",
"wireless",
"modular",
"autonomous",
"introspective",
"distributed",
"flexible",
"extensible",
"amphibious",
"metamorphic",
"ambimorphic",
"permutable",
"adaptive",
"self-learning",
"trainable",
"‘smart’",
"classical",
"atomic",
"event-driven",
"read-write",
"encrypted",
"highly-available",
"secure",
"interposable",
"cacheable",
"perfect",
"electronic",
"pervasive",
"large-scale",
"Bayesian",
"multimodal",
"authenticated",
"interactive",
"heterogeneous",
"homogeneous",
"collaborative",
"concurrent",
"probabilistic",
"mobile",
"wearable",
"semantic",
"real-time",
"cooperative",
"decentralized",
"scalable",
"certifiable",
"robust",
"signed",
"virtual",
"lossless",
"psychoacoustic",
"empathic",
"optimal",
"stable",
"unstable",
"symbiotic",
"stochastic",
"random",
"pseudorandom"
],
sci_buzzword_noun: [
"technology",
"communication",
"algorithms",
"theory",
"methodologies",
"information",
"models",
"archetypes",
"configurations",
"modalities",
"symmetries",
"epistemologies"
],
sci_adj: [
"important",
"significant",
"key",
"unfortunate",
"robust",
"typical",
"unproven",
"confusing",
"extensive",
"appropriate",
"confirmed",
"theoretical",
"technical",
"structured",
"natural",
"essential",
"private",
"intuitive",
"practical",
"compelling"
],
sci_adj_adv: [
"particularly",
"dubiously",
"daringly",
"shockingly",
"daringly",
"famously",
"predictably",
"clearly",
"obviously",
"urgently",
"compellingly"
]
})
console.log(abstract.generate().toString())import calyx from "calyx"
const manu = calyx.grammar({
backyard: ["house sparrow", "blackbird", "starling"],
coastal: ["black-backed gull", "red-billed gull"],
forest: ["tūī", "korimako", "pīwakawaka"]
})
const result = manu.generate({
start: {
"{backyard}": 3,
"{coastal}": 2,
"{forest}": 1
}
})
console.log(result.text)Handling this mapping from one to the other is a recurring problem when making large grammars, so Calyx provides a shortcut for adding paired lookups in the grammar directly.
Here, the {@animal>posessive} shortcut inflects the output of the memoized animal rule using the lookup table declared in posessive.
calyx.grammar({
start: "{@animal} {verb} {@animal>posessive} {appendage}",
animal: ["Snowball", "Santa’s Little Helper"]
posessive: {
"Snowball": "her",
"Santa’s Little Helper": "his"
},
verb: ["chases", "licks", "bites"],
appendage: ["tail", "paw"]
})Using Calyx’s syntax features like this results in a more abstract and compact grammar, with the tradeoff of having to get used to the custom syntax for map lookups.