#![forbid(unsafe_code)]
use std::collections::{BTreeMap, HashMap};
use std::fs;
use std::io::Write;
use std::path::PathBuf;
use std::process::Stdio;
use std::time::{Instant, SystemTime, UNIX_EPOCH};
use fsci_conformance::{ArmCounts, CompareLedger};
use fsci_special::{bdtr, bdtrc, bdtri, nbdtr, nbdtrc, nbdtri};
use serde::{Deserialize, Serialize};
const PACKET_ID: &str = "FSCI-P2C-007";
const CDF_TOL: f64 = 1.0e-12;
const PPF_TOL_REL: f64 = 1.0e-9;
const REQUIRE_SCIPY_ENV: &str = "FSCI_REQUIRE_SCIPY_ORACLE";
const ARMS: [&str; 6] = ["bdtr", "bdtrc", "bdtri", "nbdtr", "nbdtrc", "nbdtri"];
#[derive(Debug, Clone, Serialize)]
struct PointCase {
case_id: String,
func: String,
k: f64,
n: f64,
arg: f64,
tail: bool,
}
#[derive(Debug, Clone, Serialize)]
struct OracleQuery {
points: Vec<PointCase>,
}
#[derive(Debug, Clone, Deserialize)]
struct PointArm {
case_id: String,
value: Option<f64>,
}
#[derive(Debug, Clone, Deserialize)]
struct OracleResult {
points: Vec<PointArm>,
}
#[derive(Debug, Clone, Serialize)]
struct CaseDiff {
case_id: String,
func: String,
abs_diff: f64,
rel_diff: f64,
pass: bool,
}
#[derive(Debug, Clone, Serialize)]
struct DiffLog {
test_id: String,
category: String,
case_count: usize,
compared: BTreeMap<String, ArmCounts>,
max_abs_diff: f64,
max_rel_diff: f64,
pass: bool,
timestamp_ms: u128,
duration_ns: u128,
cases: Vec<CaseDiff>,
}
fn output_dir() -> PathBuf {
PathBuf::from(env!("CARGO_MANIFEST_DIR")).join(format!("fixtures/artifacts/{PACKET_ID}/diff"))
}
fn ensure_output_dir() {
fs::create_dir_all(output_dir()).expect("create bdtr/nbdtr diff output dir");
}
fn timestamp_ms() -> u128 {
SystemTime::now()
.duration_since(UNIX_EPOCH)
.map_or(0, |d| d.as_millis())
}
fn emit_log(log: &DiffLog) {
ensure_output_dir();
let path = output_dir().join(format!("{}.json", log.test_id));
let json = serde_json::to_string_pretty(log).expect("serialize bdtr/nbdtr diff log");
fs::write(path, json).expect("write bdtr/nbdtr diff log");
}
fn fsci_eval(func: &str, k: f64, n: f64, arg: f64) -> Option<f64> {
let v = match func {
"bdtr" => bdtr(k, n, arg),
"bdtrc" => bdtrc(k, n, arg),
"bdtri" => bdtri(k, n, arg),
"nbdtr" => nbdtr(k, n, arg),
"nbdtrc" => nbdtrc(k, n, arg),
"nbdtri" => nbdtri(k, n, arg),
_ => return None,
};
Some(v)
}
fn generate_query() -> OracleQuery {
let bdtr_cases = [(10.0_f64, 0.3), (20.0, 0.5), (50.0, 0.1), (100.0, 0.95)];
let ks_bdtr = [0_u32, 2, 5, 10, 20];
let nbdtr_cases = [(1.0_f64, 0.5), (5.0, 0.5), (10.0, 0.3), (3.0, 0.9)];
let ks_nbdtr = [0_u32, 1, 5, 10, 20];
let ys = [0.05_f64, 0.25, 0.5, 0.75, 0.95];
let mut points = Vec::new();
for &(n, p) in &bdtr_cases {
for &k in &ks_bdtr {
let kf = k as f64;
if kf > n {
continue;
}
for func in ["bdtr", "bdtrc"] {
points.push(PointCase {
case_id: format!("{func}_n{n}_p{p}_k{k}"),
func: func.to_string(),
k: kf,
n,
arg: p,
tail: false,
});
}
}
for &k in &ks_bdtr {
let kf = k as f64;
if kf > n - 1.0 {
continue;
}
for &y in &ys {
points.push(PointCase {
case_id: format!("bdtri_n{n}_y{y}_k{k}"),
func: "bdtri".into(),
k: kf,
n,
arg: y,
tail: false,
});
}
}
}
for &(nn, p) in &nbdtr_cases {
for &k in &ks_nbdtr {
let kf = k as f64;
for func in ["nbdtr", "nbdtrc"] {
points.push(PointCase {
case_id: format!("{func}_n{nn}_p{p}_k{k}"),
func: func.to_string(),
k: kf,
n: nn,
arg: p,
tail: false,
});
}
}
for &k in &ks_nbdtr {
let kf = k as f64;
for &y in &ys {
points.push(PointCase {
case_id: format!("nbdtri_n{nn}_y{y}_k{k}"),
func: "nbdtri".into(),
k: kf,
n: nn,
arg: y,
tail: false,
});
}
}
}
let tail_cases: [(&str, f64, f64, f64); 8] = [
("bdtr", 21.0, 64.0, 0.9999999557370799),
("bdtr", 30.0, 80.0, 0.9999997599847374),
("bdtrc", 27.0, 56.0, 8.866662069093556e-12),
("nbdtr", 22.0, 24.0, 1.1498145979637354e-13),
("nbdtrc", 29.0, 21.0, 0.9999999999633916),
("bdtri", 0.0, 69.0, 0.9999999999999986),
("nbdtri", 5.0, 2.0, 8.815118692845373e-270),
("nbdtri", 28.0, 17.0, 2.412547387592462e-211),
];
for (i, &(func, k, n, arg)) in tail_cases.iter().enumerate() {
points.push(PointCase {
case_id: format!("{func}_tail{i}_k{k}_n{n}_arg{arg:e}"),
func: func.into(),
k,
n,
arg,
tail: true,
});
}
OracleQuery { points }
}
fn scipy_oracle_or_skip(query: &OracleQuery) -> Option<OracleResult> {
let script = r#"
import json
import math
import sys
from scipy import special
def finite_or_none(v):
try:
v = float(v)
except Exception:
return None
return v if math.isfinite(v) else None
q = json.load(sys.stdin)
points = []
for case in q["points"]:
cid = case["case_id"]; func = case["func"]
k = float(case["k"]); n = float(case["n"]); arg = float(case["arg"])
try:
if func == "bdtr": value = special.bdtr(k, n, arg)
elif func == "bdtrc":value = special.bdtrc(k, n, arg)
elif func == "bdtri":value = special.bdtri(k, n, arg)
elif func == "nbdtr":value = special.nbdtr(k, n, arg)
elif func == "nbdtrc":value = special.nbdtrc(k, n, arg)
elif func == "nbdtri":value = special.nbdtri(k, n, arg)
else: value = None
points.append({"case_id": cid, "value": finite_or_none(value)})
except Exception:
points.append({"case_id": cid, "value": None})
print(json.dumps({"points": points}))
"#;
let query_json = serde_json::to_string(query).expect("serialize bdtr/nbdtr query");
let mut child = match fsci_conformance::scipy_oracle_command()
.arg("-c")
.arg(script)
.stdin(Stdio::piped())
.stdout(Stdio::piped())
.stderr(Stdio::piped())
.spawn()
{
Ok(c) => c,
Err(e) => {
assert!(
std::env::var(REQUIRE_SCIPY_ENV).is_err(),
"failed to spawn python3 for bdtr/nbdtr oracle: {e}"
);
eprintln!("skipping bdtr/nbdtr oracle: python3 not available ({e})");
return None;
}
};
{
let stdin = child.stdin.as_mut().expect("open bdtr/nbdtr oracle stdin");
if let Err(err) = stdin.write_all(query_json.as_bytes()) {
let output = child.wait_with_output().expect("wait for failed oracle");
let stderr = String::from_utf8_lossy(&output.stderr);
assert!(
std::env::var(REQUIRE_SCIPY_ENV).is_err(),
"bdtr/nbdtr oracle stdin write failed: {err}; stderr: {stderr}"
);
eprintln!("skipping bdtr/nbdtr oracle: stdin write failed ({err})\n{stderr}");
return None;
}
}
let output = child
.wait_with_output()
.expect("wait for bdtr/nbdtr oracle");
if !output.status.success() {
let stderr = String::from_utf8_lossy(&output.stderr);
assert!(
std::env::var(REQUIRE_SCIPY_ENV).is_err(),
"bdtr/nbdtr oracle failed: {stderr}"
);
eprintln!("skipping bdtr/nbdtr oracle: scipy not available\n{stderr}");
return None;
}
let stdout = String::from_utf8_lossy(&output.stdout);
Some(serde_json::from_str(&stdout).expect("parse bdtr/nbdtr oracle JSON"))
}
#[test]
fn diff_special_bdtr() {
let query = generate_query();
let Some(oracle) = scipy_oracle_or_skip(&query) else {
return;
};
assert_eq!(oracle.points.len(), query.points.len());
let pmap: HashMap<String, PointArm> = oracle
.points
.into_iter()
.map(|r| (r.case_id.clone(), r))
.collect();
let start = Instant::now();
let mut diffs = Vec::new();
let mut max_abs_overall = 0.0_f64;
let mut max_rel_overall = 0.0_f64;
let mut ledger = CompareLedger::new("diff_special_bdtr", &ARMS);
for case in &query.points {
let oracle = pmap.get(&case.case_id).expect("validated oracle");
let arm = case.func.as_str();
let Some((scipy_v, rust_v)) = ledger.pair(
arm,
&case.case_id,
oracle.value,
fsci_eval(&case.func, case.k, case.n, case.arg),
) else {
continue;
};
let abs_diff = (rust_v - scipy_v).abs();
let scale = if case.tail {
scipy_v.abs()
} else {
scipy_v.abs().max(1.0)
};
let rel_diff = abs_diff / scale;
max_abs_overall = max_abs_overall.max(abs_diff);
max_rel_overall = max_rel_overall.max(rel_diff);
let cdf_scale = if case.tail { scale } else { 1.0 };
let pass = match arm {
"bdtr" | "bdtrc" | "nbdtr" | "nbdtrc" => abs_diff <= CDF_TOL * cdf_scale,
"bdtri" | "nbdtri" => abs_diff <= PPF_TOL_REL * scale,
_ => false,
};
ledger.compared(arm, &case.case_id, pass);
diffs.push(CaseDiff {
case_id: case.case_id.clone(),
func: case.func.clone(),
abs_diff,
rel_diff,
pass,
});
}
let all_pass = diffs.iter().all(|d| d.pass);
let log = DiffLog {
test_id: "diff_special_bdtr".into(),
category: "scipy.special.bdtr/bdtrc/bdtri/nbdtr/nbdtrc/nbdtri".into(),
case_count: diffs.len(),
compared: ledger.counts().clone(),
max_abs_diff: max_abs_overall,
max_rel_diff: max_rel_overall,
pass: all_pass,
timestamp_ms: timestamp_ms(),
duration_ns: start.elapsed().as_nanos(),
cases: diffs.clone(),
};
emit_log(&log);
for d in &diffs {
if !d.pass {
eprintln!(
"bdtr/nbdtr {} mismatch: {} abs={} rel={}",
d.func, d.case_id, d.abs_diff, d.rel_diff
);
}
}
assert!(
all_pass,
"scipy.special bdtr/nbdtr conformance failed: {} cases, max_abs={} max_rel={}",
diffs.len(),
max_abs_overall,
max_rel_overall
);
let min_per_arm = ARMS
.iter()
.map(|arm| query.points.iter().filter(|c| c.func == *arm).count())
.min()
.expect("ARMS is non-empty");
ledger.finish(min_per_arm);
}