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// data_analysis.flex
// The complex program. Adaptive duplicate detection across two datasets,
// summary stats for each, and a printed report. Adaptation log prints at the end.
adaptive fn has_duplicates(a: List<Int>) -> Bool {
spec { ensure exact; optimize speed }
baseline { nested_scan(a) }
variant hashset_scan
variant bitmap_scan when max_val(a) < 1000000
}
fn nested_scan(a: List<Int>) -> Bool {
let i: Int = 0
while i < len(a) {
let j: Int = i + 1
while j < len(a) {
if a[i] == a[j] { return true }
j = j + 1
}
i = i + 1
}
return false
}
fn mean(xs: List<Int>) -> Int {
let total: Int = 0
for x in xs { total = total + x }
return total / len(xs)
}
fn max_val(xs: List<Int>) -> Int {
let best: Int = xs[0]
for x in xs {
if x > best { best = x }
}
return best
}
fn min_val(xs: List<Int>) -> Int {
let smallest: Int = xs[0]
for x in xs {
if x < smallest { smallest = x }
}
return smallest
}
fn len(xs: List<Int>) -> Int {
let count: Int = 0
for x in xs { count = count + 1 }
return count
}
fn count_above(xs: List<Int>, threshold: Int) -> Int {
let count: Int = 0
for x in xs {
if x > threshold { count = count + 1 }
}
return count
}
// Dataset A — no duplicates
let dataset_a = List<Int>[10, 25, 37, 42, 58, 61, 79, 83, 91, 100]
// Dataset B — has duplicates
let dataset_b = List<Int>[5, 12, 33, 12, 47, 5, 88, 91, 33, 100]
print("=== Flexigen Data Analysis Report ===")
print("")
print("--- Dataset A ---")
print("Values: " + dataset_a)
print("Length: " + len(dataset_a))
print("Mean: " + mean(dataset_a))
print("Min: " + min_val(dataset_a))
print("Max: " + max_val(dataset_a))
print("Has duplicates: " + has_duplicates(dataset_a))
print("Count above 50: " + count_above(dataset_a, 50))
print("")
print("--- Dataset B ---")
print("Values: " + dataset_b)
print("Length: " + len(dataset_b))
print("Mean: " + mean(dataset_b))
print("Min: " + min_val(dataset_b))
print("Max: " + max_val(dataset_b))
print("Has duplicates: " + has_duplicates(dataset_b))
print("Count above 50: " + count_above(dataset_b, 50))
print("")
print("=== End of Report ===")