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Quanta GenAI Curriculum · Python · Advanced

Python Advanced — 078: Re-shape typing seams with pattern-match taste centred on `cProfile hotspots and informed guesses` [786080]

Lesson 078: cProfile hotspots and informed guesses

Focus

Prints are breadcrumbs, not ornamentation: Advanced drills cProfile hotspots and informed guesses; spin token 657890 makes this page unlike its neighbours.

Key ideas

Example (LESSON_UID = "advanced-078")

# Advanced drill L078 topic-7 micro-7 pattern-3
LESSON_UID = "advanced-078"
spin_a, spin_b, spin_c = 652, 978, 634

sentinel = ([] or [])
sentinel = sentinel or [10]
print(bool(sentinel), sentinel)
pick = sentinel or "fallback-78"
print("chosen", pick)

from pathlib import Path
import tempfile

with tempfile.TemporaryDirectory() as scratch:
    target = Path(scratch) / "scratch-78.txt"
    snap = [91, 754, 426, 98, 761, 433]
    target.write_text("\n".join(str(x) for x in snap), encoding="utf-8")
    print("scratch_bytes", target.stat().st_size, "rolling", sum(snap) % (634 + 131))


import asyncio

async def finalize(seed, spin):
    await asyncio.sleep(0)
    blend = (seed * 131 + 7 * (7 % 997) + 7 * (7 % 853) + spin) % 900001
    return blend

async def harness(loop_seed):
    print("async_result", await finalize(loop_seed, 7348))

asyncio.run(harness(77943))

Practice

Practice 18: Promote hottest literal into named constant; justify naming aloud. Literal nudge 18.

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