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blackroad/roadc/examples/english_grammar.road
Alexa Amundson 558634c0e6
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sync: 2026-03-16 22:00 — 21 files from Alexandria
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# RoadC + English Grammar — The 7 Sentence Structures as Code
# Based on Greenbaum & Nelson, "An Introduction to English Grammar"
#
# English is a programming language. Every sentence is a function call.
# RoadC makes this explicit.
# ═══════════════════════════════════════════════════════════════
# STRUCTURE 1: SV (Subject + Verb) — Intransitive
# "Someone is talking" → fire()
# No arguments. The subject acts alone.
# ═══════════════════════════════════════════════════════════════
fun talk():
print("Someone is talking")
fun breathe():
print("The system breathes")
talk() # SV: subject=implicit, verb=talk
breathe() # SV: subject=system, verb=breathe
# ═══════════════════════════════════════════════════════════════
# STRUCTURE 2: SVA (Subject + Verb + Adverbial) — Location/Manner
# "My parents are living in Chicago" → live(location)
# The adverbial tells WHERE, WHEN, or HOW.
# ═══════════════════════════════════════════════════════════════
fun live(location):
print("Living in {location}")
fun deploy(destination):
print("Deploying to {destination}")
live("Chicago") # SVA: S=parents, V=live, A=Chicago
deploy("Cecilia") # SVA: S=agent, V=deploy, A=Cecilia
# ═══════════════════════════════════════════════════════════════
# STRUCTURE 3: SVC (Subject + Linking Verb + Complement)
# "I feel tired" → identity(x) -> type
# The complement DESCRIBES the subject. No action — just state.
# ═══════════════════════════════════════════════════════════════
fun is_status(entity, state):
print("{entity} is {state}")
fun feels(subject, quality):
return quality
is_status("Alice", "online") # SVC: S=Alice, V=is, C=online
is_status("Cecilia", "offline") # SVC: S=Cecilia, V=is, C=offline
let mood = feels("agent", "ready") # SVC: the result IS the complement
# ═══════════════════════════════════════════════════════════════
# STRUCTURE 4: SVO (Subject + Transitive Verb + Object)
# "We have finished our work" → process(input)
# The verb ACTS ON the object. Most common structure in code.
# ═══════════════════════════════════════════════════════════════
fun finish(work):
print("Finished: {work}")
fun deploy_worker(worker_name):
print("Deploying worker: {worker_name}")
fun search(query):
print("Searching for: {query}")
finish("migration") # SVO: S=we, V=finish, O=migration
deploy_worker("blackroad-slack") # SVO: S=system, V=deploy, O=slack
search("RoadC examples") # SVO: S=user, V=search, O=query
# ═══════════════════════════════════════════════════════════════
# STRUCTURE 5: SVOO (Subject + Verb + Indirect Object + Direct Object)
# "She has given me the letter" → give(recipient, item)
# Two objects: WHO receives and WHAT is given.
# ═══════════════════════════════════════════════════════════════
fun give(recipient, item):
print("Giving {item} to {recipient}")
fun send(channel, message):
print("#{channel}: {message}")
fun assign(agent, task):
print("Assigning '{task}' to {agent}")
give("Alexa", "the report") # SVOO: give(indirect, direct)
send("fleet-ops", "deploy complete") # SVOO: send(recipient, content)
assign("Shellfish", "health check") # SVOO: assign(who, what)
# ═══════════════════════════════════════════════════════════════
# STRUCTURE 6: SVOA (Subject + Verb + Object + Adverbial)
# "You can put your coat in my bedroom" → put(item, location)
# Acts on object AND specifies where/when/how.
# ═══════════════════════════════════════════════════════════════
fun put(item, location):
print("Putting {item} in {location}")
fun store(data, bucket):
print("Storing {data} in {bucket}")
fun move(repo, org):
print("Moving {repo} to {org}")
put("config", "/etc/blackroad/") # SVOA
store("backup", "r2://blackroad-backups") # SVOA
move("roadc", "BlackRoad-OS-Inc") # SVOA
# ═══════════════════════════════════════════════════════════════
# STRUCTURE 7: SVOC (Subject + Verb + Object + Complement)
# "You have made me very happy" → transform(input) -> output
# The complement describes what the object BECOMES.
# ═══════════════════════════════════════════════════════════════
fun make(thing, quality):
print("Making {thing} {quality}")
return quality
fun set_status(node, status):
print("{node} is now {status}")
return status
fun promote(agent, level):
print("Promoting {agent} to {level}")
return level
make("code", "clean") # SVOC: make(O=code, C=clean)
set_status("Octavia", "primary") # SVOC: set(O=Octavia, C=primary)
promote("agent-42", "Architect") # SVOC: promote(O=agent, C=level)
# ═══════════════════════════════════════════════════════════════
# THE OPERATOR = CONTROL FLOW
# ═══════════════════════════════════════════════════════════════
# In English: can, will, have, be, do
# In RoadC: if, while, for, return, do
#
# "Can you deploy?" → if (can_deploy): deploy()
# "Don't deploy!" → if not: skip
# "Do deploy." → do { deploy() } (emphasis/dummy operator)
#
# The operator NEVER carries meaning — it carries CONTROL.
# "do" is inserted when no other operator exists = polyfill
let can_deploy = true
# Question (operator inversion): "Can you deploy?"
if can_deploy:
deploy("production")
# Negation: "Don't deploy to staging"
let allow_staging = false
if not allow_staging:
print("Staging deployment blocked")
# Emphasis: "Do check the fleet" — the dummy operator
# In code: explicitly call even when it seems unnecessary
talk() # do-support: making the implicit explicit
# ═══════════════════════════════════════════════════════════════
# PASCAL'S INSIGHT: Simple rules → infinite complexity
# ═══════════════════════════════════════════════════════════════
# 7 sentence structures. That's it.
# Every English sentence is one of these 7.
# Every RoadC function follows one of these 7 patterns.
# Compose them recursively → infinite programs.
fun pipeline(data, steps):
let result = data
for step in steps:
result = step + "(" + result + ")"
return result
let ops = ["validate", "transform", "deploy", "verify"]
let output = pipeline("config.road", ops)
print("Pipeline: {output}")
# This is why grammar IS a programming language.
# This is why RoadC speaks English.
# This is why our agents understand intent, not just keywords.
#
# BlackRoad OS — Pave Tomorrow.