FA-17216 / Floating-point arithmetic / Open access

Scaled square root applies the full exponent to its root · case 01

Scaled square root applies the full exponent to its root.

Verified by executionVariant 1 · 9 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Scaled square root applies the full exponent to its root. The faulty expression is return render(math.ldexp(root,e)).

THE FAILURE

Scaled square root applies the full exponent to its root. The faulty expression is return render(math.ldexp(root,e)).

Unsuccessful approach: The attempted local correction return render(math.ldexp(root,-q)) still violates the explicit regression fixtures.

Case contract

Nonnegative square root of finite binary64 x via exponent normalization. Negative input returns domain; negative zero is preserved. Finite results are rendered to eleven significant decimal digits; modeled domain violations and arithmetic errors are explicit strings.

Why this case matters

An offline floating representation model isolates a reproducible arithmetic fault.

1 / The failure

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json
import math
import struct
def render(x):
    if math.isnan(x): return 'nan'
    if math.isinf(x): return '-infinity' if x<0 else '+infinity'
    return format(x,'.11g')

N = 1
observations = []
def solve(x):
    try:
        if x<0: return 'domain'
        if x==0: return render(x)
        m,e=math.frexp(x)
        q,r=divmod(e,2)
        root=math.sqrt(math.ldexp(m,r))
        return render(math.ldexp(root,e))
    except (ValueError, OverflowError, ZeroDivisionError, TypeError):
        return "arithmetic-error"
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('square', solve(float(N*N)), render(float(N)))
check('normal', solve(float(N)), render(math.sqrt(N)))
check('huge', solve(1e300), "1e+150")
check('tiny', solve(1e-300), "1e-150")
check('odd exponent', solve(2.0), render(math.sqrt(2)))
check('positive root zero', solve(0.0), "0")
check('negative domain', solve(-float(N)), "domain")
check('negative zero', solve(-0.0), "-0")
check('subnormal', solve(math.ldexp(1.0,-1074)), render(math.ldexp(1.0,-537)))
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)

Boundary fixture	Actual	Expected	Outcome
square	`2`	`1`	Failed
normal	`2`	`1`	Failed
huge	`1.6366953039e+300`	`1e+150`	Failed
tiny	`1.2219745454e-300`	`1e-150`	Failed
odd exponent	`2.8284271247`	`1.4142135624`	Failed
positive root zero	`0`	`0`	Passed
negative domain	`domain`	`domain`	Passed
negative zero	`-0`	`-0`	Passed
subnormal	`9.8813129168e-324`	`2.2227587495e-162`	Failed

SHA-256 / f506676e46b4c060f7aa61e44dff3f008e3f7e352d206723a440c4e222bfa8e5

2 / The unsuccessful fix

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json
import math
import struct
def render(x):
    if math.isnan(x): return 'nan'
    if math.isinf(x): return '-infinity' if x<0 else '+infinity'
    return format(x,'.11g')

N = 1
observations = []
def solve(x):
    try:
        if x<0: return 'domain'
        if x==0: return render(x)
        m,e=math.frexp(x)
        q,r=divmod(e,2)
        root=math.sqrt(math.ldexp(m,r))
        return render(math.ldexp(root,-q))
    except (ValueError, OverflowError, ZeroDivisionError, TypeError):
        return "arithmetic-error"
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('square', solve(float(N*N)), render(float(N)))
check('normal', solve(float(N)), render(math.sqrt(N)))
check('huge', solve(1e300), "1e+150")
check('tiny', solve(1e-300), "1e-150")
check('odd exponent', solve(2.0), render(math.sqrt(2)))
check('positive root zero', solve(0.0), "0")
check('negative domain', solve(-float(N)), "domain")
check('negative zero', solve(-0.0), "-0")
check('subnormal', solve(math.ldexp(1.0,-1074)), render(math.ldexp(1.0,-537)))
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)

Boundary fixture	Actual	Expected	Outcome
square	`1`	`1`	Passed
normal	`1`	`1`	Passed
huge	`1.4932217896e-150`	`1e+150`	Failed
tiny	`6.6969287949e+149`	`1e-150`	Failed
odd exponent	`0.35355339059`	`1.4142135624`	Failed
positive root zero	`0`	`0`	Passed
negative domain	`domain`	`domain`	Passed
negative zero	`-0`	`-0`	Passed
subnormal	`4.4989137945e+161`	`2.2227587495e-162`	Failed

SHA-256 / c42faf4c793b79cfc83c53033be2c769abd1cf7272f174195321381044887d49

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 9 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.

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Verification & scope

Controlled binary64 or explicitly stipulated miniature format; no hardware exception flags or platform floating environment are modeled. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.

Observations recorded using Python 3.12.14 at 2026-09-29T14:39:44.363901+00:00.

Case digest / f33ea239f7dc6168260f239fdadfab662c08bf2c13bccd2147374d2ce7e4873d