# code quality is a profile

def profile(src):

feats = extract(src)

for dim in DIMENSIONS:

level = ladder(feats, dim)

yield dim, level

# infer the intended shape

shape = nearest(centroid)

gap = target - actual

return Report(levels, gap)

# the model finds, the code decides

evidence = cite_lines(src)

assert deterministic(score)

class Dimension:

name: str

rungs: list[Rung]

qualified: bool

# code quality is a profile

def profile(src):

feats = extract(src)

for dim in DIMENSIONS:

level = ladder(feats, dim)

yield dim, level

# infer the intended shape

shape = nearest(centroid)

gap = target - actual

return Report(levels, gap)

# the model finds, the code decides

evidence = cite_lines(src)

assert deterministic(score)

class Dimension:

name: str

rungs: list[Rung]

qualified: bool

# code quality is a profile

def profile(src):

feats = extract(src)

for dim in DIMENSIONS:

level = ladder(feats, dim)

yield dim, level

# infer the intended shape

shape = nearest(centroid)

gap = target - actual

return Report(levels, gap)

# the model finds, the code decides

evidence = cite_lines(src)

assert deterministic(score)

class Dimension:

name: str

rungs: list[Rung]

qualified: bool

// validated, not asserted

const report = await facet(file)

for (const d of report.dims) {

if (d.level < d.target) {

climbs.push(d)

}

}

// one judge per dimension

const judge = route(dim)

const levels = score(features)

// your source is never stored

const vec = scrub(features)

const hash = digest(src)

function coherence(sections) {

return spread(sections)

}

// a throwaway script can pass

// validated, not asserted

const report = await facet(file)

for (const d of report.dims) {

if (d.level < d.target) {

climbs.push(d)

}

}

// one judge per dimension

const judge = route(dim)

const levels = score(features)

// your source is never stored

const vec = scrub(features)

const hash = digest(src)

function coherence(sections) {

return spread(sections)

}

// a throwaway script can pass

// validated, not asserted

const report = await facet(file)

for (const d of report.dims) {

if (d.level < d.target) {

climbs.push(d)

}

}

// one judge per dimension

const judge = route(dim)

const levels = score(features)

// your source is never stored

const vec = scrub(features)

const hash = digest(src)

function coherence(sections) {

return spread(sections)

}

// a throwaway script can pass

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