#![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_runtime::RuntimeMode;
use fsci_special::types::Complex64 as FsciComplex;
use fsci_special::types::SpecialTensor;
use fsci_special::{beta, betaln};
use serde::{Deserialize, Serialize};
const PACKET_ID: &str = "FSCI-P2C-007";
const ABS_TOL: f64 = 1.0e-9;
const REL_TOL: f64 = 1.0e-9;
const REQUIRE_SCIPY_ENV: &str = "FSCI_REQUIRE_SCIPY_ORACLE";
#[derive(Debug, Clone, Serialize)]
struct PointCase {
case_id: String,
a_re: f64,
a_im: f64,
b_re: f64,
b_im: f64,
}
#[derive(Debug, Clone, Serialize)]
struct OracleQuery {
points: Vec<PointCase>,
}
#[derive(Debug, Clone, Deserialize)]
struct PointArm {
case_id: String,
betaln_re: Option<f64>,
betaln_im: Option<f64>,
beta_re: Option<f64>,
beta_im: Option<f64>,
}
#[derive(Debug, Clone, Deserialize)]
struct OracleResult {
points: Vec<PointArm>,
}
#[derive(Debug, Clone, Serialize)]
struct CaseDiff {
case_id: String,
op: String,
abs_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,
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 beta_complex diff 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 log");
fs::write(path, json).expect("write log");
}
fn fsci_eval(op: &str, a_re: f64, a_im: f64, b_re: f64, b_im: f64) -> Option<(f64, f64)> {
let a = SpecialTensor::ComplexScalar(FsciComplex::new(a_re, a_im));
let b = SpecialTensor::ComplexScalar(FsciComplex::new(b_re, b_im));
let result = match op {
"beta" => beta(&a, &b, RuntimeMode::Strict),
"betaln" => betaln(&a, &b, RuntimeMode::Strict),
_ => return None,
};
match result {
Ok(SpecialTensor::ComplexScalar(c)) => Some((c.re, c.im)),
_ => None,
}
}
fn generate_query() -> OracleQuery {
let probes: &[(f64, f64, f64, f64)] = &[
(2.0, 1.0, 3.0, 0.5),
(1.5, 0.0, 2.5, 1.0),
(0.7, 0.3, 1.2, -0.4),
(3.0, 2.0, 4.0, 1.0),
(2.5, -1.0, 3.5, -0.5),
(1.0, 1.0, 1.0, -1.0),
(4.0, 0.5, 2.0, 0.0),
(5.0, 0.0, 3.0, 2.0),
(2.5, 0.0, 2.5, 0.0),
(1.5, 0.5, 0.5, 1.5),
(3.0, 0.0, 3.0, 0.0),
];
let points: Vec<PointCase> = probes
.iter()
.enumerate()
.map(|(i, &(ar, ai, br, bi))| PointCase {
case_id: format!("p{i:02}"),
a_re: ar,
a_im: ai,
b_re: br,
b_im: bi,
})
.collect();
OracleQuery { points }
}
fn scipy_oracle_or_skip(query: &OracleQuery) -> Option<OracleResult> {
let script = r#"
import json
import math
import sys
import cmath
from scipy import special
q = json.load(sys.stdin)
points = []
for case in q["points"]:
cid = case["case_id"]
a = complex(float(case["a_re"]), float(case["a_im"]))
b = complex(float(case["b_re"]), float(case["b_im"]))
try:
lg_a = complex(special.loggamma(a))
lg_b = complex(special.loggamma(b))
lg_ab = complex(special.loggamma(a + b))
bln = lg_a + lg_b - lg_ab
bv = cmath.exp(bln)
if all(math.isfinite(v) for v in [bln.real, bln.imag, bv.real, bv.imag]):
points.append({
"case_id": cid,
"betaln_re": float(bln.real), "betaln_im": float(bln.imag),
"beta_re": float(bv.real), "beta_im": float(bv.imag),
})
else:
points.append({"case_id": cid, "betaln_re": None, "betaln_im": None,
"beta_re": None, "beta_im": None})
except Exception as e:
sys.stderr.write(f"oracle {cid}: {e}\n")
points.append({"case_id": cid, "betaln_re": None, "betaln_im": None,
"beta_re": None, "beta_im": None})
print(json.dumps({"points": points}))
"#;
let query_json = serde_json::to_string(query).expect("serialize 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 beta_complex oracle: {e}"
);
eprintln!("skipping beta_complex oracle: python3 not available ({e})");
return None;
}
};
{
let stdin = child.stdin.as_mut().expect("open 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(),
"beta_complex oracle stdin write failed: {err}; stderr: {stderr}"
);
eprintln!("skipping beta_complex oracle: stdin write failed ({err})\n{stderr}");
return None;
}
}
let output = child
.wait_with_output()
.expect("wait for beta_complex oracle");
if !output.status.success() {
let stderr = String::from_utf8_lossy(&output.stderr);
assert!(
std::env::var(REQUIRE_SCIPY_ENV).is_err(),
"beta_complex oracle failed: {stderr}"
);
eprintln!("skipping beta_complex oracle: scipy not available\n{stderr}");
return None;
}
let stdout = String::from_utf8_lossy(&output.stdout);
Some(serde_json::from_str(&stdout).expect("parse beta_complex oracle JSON"))
}
#[test]
fn diff_special_beta_complex() {
let query = generate_query();
let Some(oracle) = scipy_oracle_or_skip(&query) else {
return;
};
let pmap: HashMap<String, PointArm> = oracle
.points
.into_iter()
.map(|d| (d.case_id.clone(), d))
.collect();
let start = Instant::now();
let mut diffs = Vec::new();
let mut max_overall = 0.0_f64;
let two_pi = 2.0 * std::f64::consts::PI;
let mut ledger = CompareLedger::new("diff_special_beta_complex", &["betaln", "beta"]);
for case in &query.points {
let oracle = pmap.get(&case.case_id);
let scipy_betaln = oracle.and_then(|o| o.betaln_re.zip(o.betaln_im));
let scipy_beta = oracle.and_then(|o| o.beta_re.zip(o.beta_im));
if let Some(((eb_re, eb_im), (re, im))) = ledger.both(
"betaln",
&case.case_id,
scipy_betaln,
fsci_eval("betaln", case.a_re, case.a_im, case.b_re, case.b_im),
) {
let im_diff_full = ((im - eb_im) / two_pi).round();
let im_adj = im - im_diff_full * two_pi;
let abs_d = ((re - eb_re).powi(2) + (im_adj - eb_im).powi(2)).sqrt();
max_overall = max_overall.max(abs_d);
ledger.compared("betaln", &case.case_id, abs_d <= ABS_TOL);
diffs.push(CaseDiff {
case_id: format!("{}_betaln", case.case_id),
op: "betaln".into(),
abs_diff: abs_d,
pass: abs_d <= ABS_TOL,
});
}
if let Some(((ebv_re, ebv_im), (re, im))) = ledger.both(
"beta",
&case.case_id,
scipy_beta,
fsci_eval("beta", case.a_re, case.a_im, case.b_re, case.b_im),
) {
let abs_d = ((re - ebv_re).powi(2) + (im - ebv_im).powi(2)).sqrt();
let mag = (ebv_re * ebv_re + ebv_im * ebv_im).sqrt();
let rel_d = if mag > 1.0e-12 { abs_d / mag } else { abs_d };
max_overall = max_overall.max(rel_d);
let pass = rel_d <= REL_TOL || abs_d <= ABS_TOL;
ledger.compared("beta", &case.case_id, pass);
diffs.push(CaseDiff {
case_id: format!("{}_beta", case.case_id),
op: "beta".into(),
abs_diff: rel_d,
pass,
});
}
}
let all_pass = diffs.iter().all(|d| d.pass);
let log = DiffLog {
test_id: "diff_special_beta_complex".into(),
category: "fsci_special::beta + betaln (ComplexScalar) vs scipy.special.loggamma formula"
.into(),
case_count: diffs.len(),
compared: ledger.counts().clone(),
max_abs_diff: max_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!("{} mismatch: {} d={}", d.op, d.case_id, d.abs_diff);
}
}
assert!(
all_pass,
"beta_complex conformance failed: {} cases, max_diff={}",
diffs.len(),
max_overall
);
ledger.finish(query.points.len());
}