BattleTag/JANUS
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Add baseline reproduction: Shafir NF 2-NF ensemble (17/18 cells), ConMD Table I citation, JANUS thresholded F1 across 4 datasets

Browse Source
This commit is contained in:
BattleTag
2026-05-08 11:47:27 +08:00
parent dc22e20616
commit c33efc290a
4 changed files with 498 additions and 27 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
pyproject.toml
View File

@@ -19,6 +19,8 @@ dependencies = [
"pandas>=3.0.2",
"umap-learn>=0.5.12",
"pyarrow>=24.0.0",
"pzflow>=4.0.0",
"shap>=0.51.0",
]
[build-system]

171
scripts/aggregate/thresholded_metrics.py Normal file
View File

@@ -0,0 +1,171 @@
from __future__ import annotations
import argparse
from pathlib import Path
import numpy as np
from sklearn.covariance import OAS
from sklearn.metrics import roc_auc_score
ROOT = Path(__file__).resolve().parents[2] / "artifacts" / "route_comparison"
DATASETS = ["cicids2017", "cicddos2019", "ciciot2023", "iscxtor2016"]
SEEDS = (42, 43, 44)
RNG_SPLIT = 12345
def metrics_at_tau(d2_b, d2_a, tau):
tp = int((d2_a >= tau).sum())
fn = int((d2_a < tau).sum())
fp = int((d2_b >= tau).sum())
tn = int((d2_b < tau).sum())
prec = tp / max(tp + fp, 1)
rec = tp / max(tp + fn, 1)
f1 = 2 * prec * rec / max(prec + rec, 1e-9)
fpr = fp / max(fp + tn, 1)
return {"f1": f1, "prec": prec, "rec": rec, "fpr": fpr}
def evaluate_seed(npz_path: Path) -> dict:
z = np.load(npz_path, allow_pickle=True)
keys = sorted(k.replace("val_", "") for k in z.files if k.startswith("val_") and not k.endswith("labels"))
val_S = np.stack([z[f"val_{k}"] for k in keys], axis=1)
atk_S = np.stack([z[f"atk_{k}"] for k in keys], axis=1)
val_S = np.nan_to_num(val_S, nan=0.0, posinf=1e6, neginf=-1e6)
atk_S = np.nan_to_num(atk_S, nan=0.0, posinf=1e6, neginf=-1e6)
K = val_S.shape[1]
rng = np.random.default_rng(RNG_SPLIT)
idx = rng.permutation(len(val_S))
half = len(idx) // 2
val_A = val_S[idx[:half]]
val_B = val_S[idx[half:]]
mu = val_A.mean(axis=0)
oas = OAS().fit(val_A)
inv_cov = np.linalg.inv(oas.covariance_ + 1e-9 * np.eye(K))
def d2(S):
d = S - mu
return np.einsum("ni,ij,nj->n", d, inv_cov, d)
d2_A = d2(val_A)
d2_B = d2(val_B)
d2_atk = d2(atk_S)
auroc = float(roc_auc_score(np.r_[np.zeros(len(d2_B)), np.ones(len(d2_atk))], np.r_[d2_B, d2_atk]))
out = {"AUROC": auroc, "n_val": len(val_S), "n_atk": len(atk_S)}
for pct, name in [(95, "P95"), (99, "P99")]:
tau = float(np.percentile(d2_A, pct))
m = metrics_at_tau(d2_B, d2_atk, tau)
out[f"F1@{name}"] = m["f1"]
out[f"Prec@{name}"] = m["prec"]
out[f"Recall@{name}"] = m["rec"]
out[f"FPR@{name}"] = m["fpr"]
return out
def aggregate(dataset: str) -> dict:
rows = []
for s in SEEDS:
npz = ROOT / f"janus_{dataset}_seed{s}/phase1_scores.npz"
if not npz.exists():
print(f"[skip] {dataset} seed{s} — npz missing")
continue
rows.append(evaluate_seed(npz))
if not rows:
return {}
metrics = [k for k in rows[0] if k not in ("n_val", "n_atk")]
out = {"n_val": rows[0]["n_val"], "n_atk": rows[0]["n_atk"], "n_seeds": len(rows)}
for m in metrics:
a = np.array([r[m] for r in rows])
out[m] = {"mean": float(a.mean()), "std": float(a.std()), "per_seed": [float(x) for x in a]}
return out
SUPERVISED_REF = {
"cicddos2019": {"method": "TIPSO-GAN (supervised, single seed)", "AUROC": 0.9999, "F1": 0.9989, "source": "baselines/TIPSO-GAN/ndss_tipso_artifact/artifacts/perf_summary_cicddos2019.json"},
}
def render_md(by_ds: dict) -> str:
lines = []
lines.append("# JANUS Thresholded Metrics — Mahalanobis-OAS, 3-seed mean ± std")
lines.append("")
lines.append("Computed post-hoc from `janus_<ds>_seed{42,43,44}/phase1_scores.npz` — no retraining.")
lines.append("")
lines.append("## Protocol")
lines.append("")
lines.append("- Aggregator: **Mahalanobis-OAS** distance over the 10-d JANUS raw score vector")
lines.append(f"- (μ, Σ) fit on **benign val half A** (random split seed={RNG_SPLIT}); F1/Precision/Recall/FPR measured on **benign val half B + ALL attacks**")
lines.append("- AUROC measured on (half B + attacks)")
lines.append("- Thresholds: τ95 = 95th percentile of d² on half A; τ99 = 99th percentile")
lines.append("")
lines.append("## Headline (4 datasets × 3 seeds)")
lines.append("")
lines.append("| Dataset | n_val | n_atk | AUROC | F1@P95 | Prec@P95 | Recall@P95 | FPR@P95 | F1@P99 | TPR@P99 |")
lines.append("|---|---|---|---|---|---|---|---|---|---|")
for ds in DATASETS:
if ds not in by_ds or not by_ds[ds]:
lines.append(f"| {ds} | — | — | — | — | — | — | — | — | — |")
continue
d = by_ds[ds]
def cell(k):
v = d[k]
return f"{v['mean']:.4f} ± {v['std']:.4f}"
lines.append(
f"| {ds} | {d['n_val']} | {d['n_atk']} | {cell('AUROC')} | "
f"{cell('F1@P95')} | {cell('Prec@P95')} | {cell('Recall@P95')} | {cell('FPR@P95')} | "
f"{cell('F1@P99')} | {cell('Recall@P99')} |"
)
lines.append("")
if any(ds in SUPERVISED_REF and ds in by_ds and by_ds[ds] for ds in DATASETS):
lines.append("## Supervised SOTA reference (cell-by-cell)")
lines.append("")
lines.append("Single-seed published numbers from supervised methods, where available, for context. The protocols are not directly comparable (supervised uses attack labels at training); this is meant to show the ceiling, not for head-to-head SOTA claim.")
lines.append("")
lines.append("| Dataset | Supervised method | Sup AUROC | Sup F1 | JANUS AUROC | JANUS F1@P95 | Δ AUROC | Δ F1 |")
lines.append("|---|---|---|---|---|---|---|---|")
for ds in DATASETS:
if ds not in SUPERVISED_REF or ds not in by_ds or not by_ds[ds]:
continue
ref = SUPERVISED_REF[ds]
d = by_ds[ds]
lines.append(
f"| {ds} | {ref['method']} | {ref['AUROC']:.4f} | {ref['F1']:.4f} | "
f"{d['AUROC']['mean']:.4f} ± {d['AUROC']['std']:.4f} | "
f"{d['F1@P95']['mean']:.4f} ± {d['F1@P95']['std']:.4f} | "
f"{d['AUROC']['mean'] - ref['AUROC']:+.4f} | "
f"{d['F1@P95']['mean'] - ref['F1']:+.4f} |"
)
lines.append("")
for ds in DATASETS:
if ds not in by_ds or not by_ds[ds]:
continue
d = by_ds[ds]
lines.append(f"## {ds}")
lines.append("")
lines.append(f"n_val={d['n_val']}, n_atk={d['n_atk']}, n_seeds={d['n_seeds']}")
lines.append("")
lines.append("| Metric | seed42 | seed43 | seed44 | mean ± std |")
lines.append("|---|---|---|---|---|")
for m in ["AUROC", "F1@P95", "Prec@P95", "Recall@P95", "FPR@P95", "F1@P99", "Prec@P99", "Recall@P99", "FPR@P99"]:
v = d[m]
ps = v["per_seed"]
lines.append(f"| {m} | {ps[0]:.4f} | {ps[1]:.4f} | {ps[2]:.4f} | {v['mean']:.4f} ± {v['std']:.4f} |")
lines.append("")
return "\n".join(lines) + "\n"
def main():
p = argparse.ArgumentParser()
p.add_argument("--datasets", nargs="*", default=DATASETS)
p.add_argument("--out", type=Path, default=ROOT / "THRESHOLDED.md")
args = p.parse_args()
by_ds = {ds: aggregate(ds) for ds in args.datasets}
md = render_md(by_ds)
args.out.write_text(md)
print(md)
print(f"\n[wrote] {args.out}")
if __name__ == "__main__":
main()

23
scripts/baselines/run_shafir_nf_csv.py
View File

@@ -12,7 +12,7 @@ import pandas as pd
os.environ.setdefault('JAX_PLATFORMS', 'cpu')
warnings.filterwarnings('ignore')
import optax
from pzflow import Flow
from pzflow import Flow, FlowEnsemble
from sklearn.metrics import average_precision_score, roc_auc_score
from sklearn.preprocessing import StandardScaler
REPO = Path(__file__).resolve().parents[2]
@@ -175,7 +175,7 @@ def _safe_metric(fn, y, s) -> float:
except ValueError:
return float('nan')
def _train_and_score(train, val, atk, feat_cols, *, epochs, lr, optimizer):
def _train_and_score(train, val, atk, feat_cols, *, epochs, lr, optimizer, n_flows=1, seed=0):
raw_train = train[feat_cols].astype(np.float64).values
keep = raw_train.std(axis=0) > 0
if not keep.all():
@@ -200,9 +200,16 @@ def _train_and_score(train, val, atk, feat_cols, *, epochs, lr, optimizer):
opt = optax.sgd(learning_rate=lr)
else:
opt = optax.adam(learning_rate=lr)
flow = Flow(df_train.columns.tolist())
if n_flows > 1:
flow = FlowEnsemble(df_train.columns.tolist(), N=n_flows)
else:
flow = Flow(df_train.columns.tolist())
t0 = time.time()
losses = flow.train(df_train, optimizer=opt, epochs=epochs, verbose=False)
if n_flows > 1:
losses_dict = flow.train(df_train, optimizer=opt, epochs=epochs, verbose=False, seed=seed)
losses = list(losses_dict.values())[0]
else:
losses = flow.train(df_train, optimizer=opt, epochs=epochs, verbose=False)
t_train = time.time() - t0
t0 = time.time()
lp_val = np.asarray(flow.log_prob(df_val))
@@ -229,6 +236,7 @@ def main():
p.add_argument('--epochs', type=int, default=100)
p.add_argument('--lr', type=float, default=0.001)
p.add_argument('--optimizer', choices=['sgd', 'adam'], default='sgd')
p.add_argument('--n-flows', type=int, default=1, help='1 = single NF (Shafir paper baseline mode); 2 = paper headline ensemble')
args = p.parse_args()
args.out_dir.mkdir(parents=True, exist_ok=True)
(src_name, tgt_name, caps) = PROTOCOL_CONFIG[args.protocol]
@@ -247,15 +255,16 @@ def main():
print(f' [features] within: {len(feat_cols)} cols')
(train, val, atk) = _sample_within(src_df, caps, args.seed)
print(f' [data] train={len(train):,} val={len(val):,} attack={len(atk):,} D={len(feat_cols)}')
res = _train_and_score(train, val, atk, feat_cols, epochs=args.epochs, lr=args.lr, optimizer=args.optimizer)
res = _train_and_score(train, val, atk, feat_cols, epochs=args.epochs, lr=args.lr, optimizer=args.optimizer, n_flows=args.n_flows, seed=args.seed)
(val_score, atk_score) = (res['score_val'], res['score_atk'])
y = np.r_[np.zeros(len(val_score)), np.ones(len(atk_score))]
s = np.r_[val_score, atk_score]
overall = {'neg_log_prob': {'auroc': _safe_metric(roc_auc_score, y, s), 'auprc': _safe_metric(average_precision_score, y, s)}}
a_labels = atk['cls_label'].astype(str).to_numpy()
per_cls = _per_class(val_score, atk_score, a_labels)
out = {'method': 'shafir_nf_csv', 'protocol': args.protocol, 'seed': args.seed, 'src_dataset': src_name, 'tgt_dataset': tgt_name, 'feature_set': feat_cols, 'n_features': len(feat_cols), 'n_train': len(train), 'n_val': len(val), 'n_atk': len(atk), 'epochs': args.epochs, 'lr': args.lr, 'optimizer': args.optimizer, 't_train_sec': round(res['t_train'], 2), 't_score_sec': round(res['t_score'], 2), 'loss_first_last': [float(res['losses'][0]), float(res['losses'][-1])], 'overall': overall, 'per_class': per_cls}
out_json = args.out_dir / f'{args.protocol}_seed{args.seed}.json'
out = {'method': 'shafir_nf_csv', 'protocol': args.protocol, 'seed': args.seed, 'n_flows': args.n_flows, 'src_dataset': src_name, 'tgt_dataset': tgt_name, 'feature_set': feat_cols, 'n_features': len(feat_cols), 'n_train': len(train), 'n_val': len(val), 'n_atk': len(atk), 'epochs': args.epochs, 'lr': args.lr, 'optimizer': args.optimizer, 't_train_sec': round(res['t_train'], 2), 't_score_sec': round(res['t_score'], 2), 'loss_first_last': [float(res['losses'][0]), float(res['losses'][-1])], 'overall': overall, 'per_class': per_cls}
suffix = f"_n{args.n_flows}" if args.n_flows > 1 else ""
out_json = args.out_dir / f'{args.protocol}_seed{args.seed}{suffix}.json'
out_json.write_text(json.dumps(out, indent=2))
npz_path = out_json.with_suffix('.npz')
np.savez_compressed(npz_path, b_neg_log_prob=val_score, a_neg_log_prob=atk_score, a_labels=a_labels.astype(str), losses=res['losses'])

329
uv.lock generated
View File

@@ -4,10 +4,25 @@ requires-python = ">=3.12"
resolution-markers = [
"python_full_version >= '3.14' and sys_platform == 'win32'",
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
"python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
"python_full_version < '3.14' and sys_platform == 'win32'",
"python_full_version < '3.14' and sys_platform == 'emscripten'",
"python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
"python_full_version >= '3.14' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
"(python_full_version >= '3.14' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
"python_full_version == '3.13.*' and sys_platform == 'win32'",
"python_full_version < '3.13' and sys_platform == 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'emscripten'",
"python_full_version < '3.13' and sys_platform == 'emscripten'",
"python_full_version == '3.13.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
"python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
"(python_full_version == '3.13.*' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
"(python_full_version < '3.13' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
]
[[package]]
name = "absl-py"
version = "2.4.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543, upload-time = "2026-01-28T10:17:05.322Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d", size = 135750, upload-time = "2026-01-28T10:17:04.19Z" },
]
[[package]]
@@ -64,6 +79,15 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/e4/20/71885d8b97d4f3dde17b1fdb92dbd4908b00541c5a3379787137285f602e/click-8.3.2-py3-none-any.whl", hash = "sha256:1924d2c27c5653561cd2cae4548d1406039cb79b858b747cfea24924bbc1616d", size = 108379, upload-time = "2026-04-03T19:14:43.505Z" },
]
[[package]]
name = "cloudpickle"
version = "3.1.2"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/27/fb/576f067976d320f5f0114a8d9fa1215425441bb35627b1993e5afd8111e5/cloudpickle-3.1.2.tar.gz", hash = "sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414", size = 22330, upload-time = "2025-11-03T09:25:26.604Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/88/39/799be3f2f0f38cc727ee3b4f1445fe6d5e4133064ec2e4115069418a5bb6/cloudpickle-3.1.2-py3-none-any.whl", hash = "sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a", size = 22228, upload-time = "2025-11-03T09:25:25.534Z" },
]
[[package]]
name = "colorama"
version = "0.4.6"
@@ -144,7 +168,7 @@ name = "cuda-bindings"
version = "12.9.6"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "cuda-pathfinder", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
{ name = "cuda-pathfinder", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/50/04/8a4d45dc154a8a32982658cc55be291e9778d1197834b15d33427e2f65c1/cuda_bindings-12.9.6-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0ea331bc47d9988cc61f0ecc5fa8df9dd188b4493ae1c6688bb1ee8ce8ba1af4", size = 7050347, upload-time = "2026-03-11T14:47:35.221Z" },
@@ -416,8 +440,10 @@ dependencies = [
{ name = "pandas" },
{ name = "pyarrow" },
{ name = "pyyaml" },
{ name = "pzflow" },
{ name = "scapy" },
{ name = "scikit-learn" },
{ name = "shap" },
{ name = "torch" },
{ name = "torchdiffeq" },
{ name = "torchvision" },
@@ -439,8 +465,10 @@ requires-dist = [
{ name = "pandas", specifier = ">=3.0.2" },
{ name = "pyarrow", specifier = ">=24.0.0" },
{ name = "pyyaml", specifier = ">=6.0" },
{ name = "pzflow", specifier = ">=4.0.0" },
{ name = "scapy", specifier = ">=2.7.0" },
{ name = "scikit-learn", specifier = ">=1.8.0" },
{ name = "shap", specifier = ">=0.51.0" },
{ name = "torch", specifier = ">=2.9.1", index = "https://download.pytorch.org/whl/cu128" },
{ name = "torchdiffeq", specifier = ">=0.2.5" },
{ name = "torchvision", specifier = ">=0.24.1", index = "https://download.pytorch.org/whl/cu128" },
@@ -450,6 +478,52 @@ requires-dist = [
[package.metadata.requires-dev]
dev = [{ name = "pytest", specifier = ">=9.0.3" }]
[[package]]
name = "jax"
version = "0.10.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jaxlib" },
{ name = "ml-dtypes" },
{ name = "numpy" },
{ name = "opt-einsum" },
{ name = "scipy" },
]
sdist = { url = "https://files.pythonhosted.org/packages/50/f0/bcb81d28267d2054d0daed766c7fa16bcee5e481331b4d1e14f5fbe662be/jax-0.10.0.tar.gz", hash = "sha256:0119c767de1645f407df72345d28a3837dc904f1d698911c121d8f2b396fdece", size = 2663397, upload-time = "2026-04-22T13:22:28.563Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/70/aa/dfac6d72cc35bc07e7587115b6946e333ef4ccb2e6cd26ecf639438c5d26/jax-0.10.0-py3-none-any.whl", hash = "sha256:76c42ba163c8db3dc2e449e225b888c0edfb623ded31efdc96d85e0fda1d26e8", size = 3094950, upload-time = "2026-04-16T12:32:11.576Z" },
]
[[package]]
name = "jaxlib"
version = "0.10.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "ml-dtypes" },
{ name = "numpy" },
{ name = "scipy" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/79/0c/279cb4dc009fe87a8315d1b182f520693236ad07b852152df344ea4e4021/jaxlib-0.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7c1d9b463327c7a2333f210114ecb04f28fefc51ba8233a85a2280cce75bdb42", size = 60137156, upload-time = "2026-04-16T12:33:30.306Z" },
{ url = "https://files.pythonhosted.org/packages/e3/cd/59ead5a90df739d1b8c1d1d00443558fd30adf5abb0319966ce340d49ff3/jaxlib-0.10.0-cp312-cp312-manylinux_2_27_aarch64.whl", hash = "sha256:aa1d70f1a4e27eb403654e71e2fb28d5786d3e9b77fc1847e8c5389880927ca4", size = 79398938, upload-time = "2026-04-16T12:33:34.14Z" },
{ url = "https://files.pythonhosted.org/packages/b5/20/9b07fc8b327b222b6f72a4978eb4f2ebe856ee71237d63c4d808ec3945e0/jaxlib-0.10.0-cp312-cp312-manylinux_2_27_x86_64.whl", hash = "sha256:b0bfb865a07df2e6d7418c0b0c292dd294b5500523b1dd5872b180db2aa480d4", size = 85028702, upload-time = "2026-04-16T12:33:37.815Z" },
{ url = "https://files.pythonhosted.org/packages/08/3b/4f798fffed4229a2d7de07c1f4feabac7676a26c695a418796dbe29bae7f/jaxlib-0.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:25bf167e0d8b594e0ec50783ff4892c0b7ec37236c88b2b425a7c252823f8680", size = 64221923, upload-time = "2026-04-16T12:33:41.343Z" },
{ url = "https://files.pythonhosted.org/packages/d4/b6/b66b0abb9df8f9f8f19a5244b849cb07fc7389a4a5e1fb7794f7cefd7f26/jaxlib-0.10.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:384635fff55899a295bbc82ee6c6f773a300e787dc472ca92bbe79abfaac8369", size = 60138213, upload-time = "2026-04-16T12:33:45.13Z" },
{ url = "https://files.pythonhosted.org/packages/30/1e/844e525a72a08a2744ae2722e2332a0159a6d0efdc1e561cf378f7259a01/jaxlib-0.10.0-cp313-cp313-manylinux_2_27_aarch64.whl", hash = "sha256:6d8d78b7070b34e4c5bba5f7e10927e7f4aac9b69be17e9b0a5898553a4338f3", size = 79401054, upload-time = "2026-04-16T12:33:49.263Z" },
{ url = "https://files.pythonhosted.org/packages/f7/95/305854c2ef2b645f7df1666be66b1167c392cc39384d09aca2e9499b71bf/jaxlib-0.10.0-cp313-cp313-manylinux_2_27_x86_64.whl", hash = "sha256:d303dc31b65e8b793d5600f81b1583be03dc9b876a4c10b3e259b6609a1cbe3b", size = 85027218, upload-time = "2026-04-16T12:33:54.325Z" },
{ url = "https://files.pythonhosted.org/packages/a8/63/a5e1dcb65dca6efbae7189f185588fc939e17c284f272254fbeb68a39817/jaxlib-0.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:3869be623c2f3391be2ee86f8b412372b102492e67cac0a5f0ab1037bbc3a5cc", size = 64221972, upload-time = "2026-04-16T12:46:24.762Z" },
{ url = "https://files.pythonhosted.org/packages/ce/d6/411e580b70f64a5a4b095cb2c03c1e2c7b3b35c6754e5cacd4a8f8a2d480/jaxlib-0.10.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:9050ce2ae7eeca62b1a235065056cad62cac590ddc035486faa4472a47eed9f6", size = 60250897, upload-time = "2026-04-16T12:46:13.185Z" },
{ url = "https://files.pythonhosted.org/packages/2c/5c/f40ac9d40eb39c359f268e087ff1f21bdad664f86691c52a288d0f9152e8/jaxlib-0.10.0-cp313-cp313t-manylinux_2_27_aarch64.whl", hash = "sha256:59e07aab3bdfaad9bdd3cf32e0d3d4f228837b9b231c53f5ae1c0fc284481094", size = 79518774, upload-time = "2026-04-16T12:46:16.684Z" },
{ url = "https://files.pythonhosted.org/packages/49/36/dea7a0ea64a5551244e2140ef6ad36e2dff308b6f5facaa6f1c1272bb47f/jaxlib-0.10.0-cp313-cp313t-manylinux_2_27_x86_64.whl", hash = "sha256:3088503812cfe49f34a3083d3b7ef5cb3aaf33d89ceb1b3f647fa52713aee59d", size = 85134776, upload-time = "2026-04-16T12:46:20.855Z" },
{ url = "https://files.pythonhosted.org/packages/a7/25/e1e52a21786b321fb6a2edf9ef9971aa70f06bb2738aef9afd6d8f46a441/jaxlib-0.10.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:98b26672943672742873f65bc03216819fc55325c99f146590d007c0172bff30", size = 60141273, upload-time = "2026-04-16T12:46:27.922Z" },
{ url = "https://files.pythonhosted.org/packages/9c/3b/21e3382ce6f4ee84bcce52810f3786ae3663991ec863acadcd0765b6f767/jaxlib-0.10.0-cp314-cp314-manylinux_2_27_aarch64.whl", hash = "sha256:ad47e072430979ec21637aa487d4dc464028b8e9be27268f37de69536c76e341", size = 79416404, upload-time = "2026-04-16T12:46:31.326Z" },
{ url = "https://files.pythonhosted.org/packages/a1/8e/b2a08ffc51c93842de71f7f988865cebfa7f43d6721957812dc8cc8b9d40/jaxlib-0.10.0-cp314-cp314-manylinux_2_27_x86_64.whl", hash = "sha256:2a42cf04c0f88bc03b150a17fa7ddbb2f40e096667ec8a1b840ed87913e6e735", size = 85035152, upload-time = "2026-04-16T12:46:36.129Z" },
{ url = "https://files.pythonhosted.org/packages/24/08/26e6a3ecf0a95f1ec0dcd7a668d5c9a72e581c40fe4ae51e102ca63174c5/jaxlib-0.10.0-cp314-cp314-win_amd64.whl", hash = "sha256:450b771c01b3662c3497e2dceada3f6fc893112ae637ef85ef1dcc7dc68892a8", size = 66661443, upload-time = "2026-04-16T12:46:51.088Z" },
{ url = "https://files.pythonhosted.org/packages/37/d7/06383d19217824134c4a6119d2efe7b53cde6a0a66fb1d643d9f725d2697/jaxlib-0.10.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:f62026c9fb1f05998592082a6dcb62f70b466342bc139f711802a9b184ba9a46", size = 60253088, upload-time = "2026-04-16T12:46:39.666Z" },
{ url = "https://files.pythonhosted.org/packages/6b/ce/f66f955c01cce1ffda0cfbb1c02bb9234e0cac1d40b46fe17c315155d62f/jaxlib-0.10.0-cp314-cp314t-manylinux_2_27_aarch64.whl", hash = "sha256:e66bdc0b57ed5649950799d3f0d67a6bb67f03d06b49ea3fced0bdd6140a9943", size = 79517974, upload-time = "2026-04-16T12:46:43.147Z" },
{ url = "https://files.pythonhosted.org/packages/5e/74/b358923d0cce13fc7608051d0cc60ce3379f14350dc42540bdbabdbffab2/jaxlib-0.10.0-cp314-cp314t-manylinux_2_27_x86_64.whl", hash = "sha256:4dccd9065b30954879869641472d5d12fe4d7914175a5cad56293af8429ce7e0", size = 85134286, upload-time = "2026-04-16T12:46:47.416Z" },
]
[[package]]
name = "jinja2"
version = "3.1.6"
@@ -557,10 +631,32 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/b5/91/53255615acd2a1eaca307ede3c90eb550bae9c94581f8c00081b6b1c8f44/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-win_amd64.whl", hash = "sha256:1f1489f769582498610e015a8ef2d36f28f505ab3096d0e16b4858a9ec214f57", size = 75987, upload-time = "2026-03-09T13:15:39.65Z" },
]
[[package]]
name = "llvmlite"
version = "0.36.0"
source = { registry = "https://pypi.org/simple" }
resolution-markers = [
"python_full_version >= '3.14' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
"python_full_version == '3.13.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
"python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
]
sdist = { url = "https://files.pythonhosted.org/packages/19/66/6b2c49c7c68da48d17059882fdb9ad9ac9e5ac3f22b00874d7996e3c44a8/llvmlite-0.36.0.tar.gz", hash = "sha256:765128fdf5f149ed0b889ffbe2b05eb1717f8e20a5c87fa2b4018fbcce0fcfc9", size = 126219, upload-time = "2021-03-12T13:41:52.064Z" }
[[package]]
name = "llvmlite"
version = "0.47.0"
source = { registry = "https://pypi.org/simple" }
resolution-markers = [
"python_full_version >= '3.14' and sys_platform == 'win32'",
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
"(python_full_version >= '3.14' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
"python_full_version == '3.13.*' and sys_platform == 'win32'",
"python_full_version < '3.13' and sys_platform == 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'emscripten'",
"python_full_version < '3.13' and sys_platform == 'emscripten'",
"(python_full_version == '3.13.*' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
"(python_full_version < '3.13' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
]
sdist = { url = "https://files.pythonhosted.org/packages/01/88/a8952b6d5c21e74cbf158515b779666f692846502623e9e3c39d8e8ba25f/llvmlite-0.47.0.tar.gz", hash = "sha256:62031ce968ec74e95092184d4b0e857e444f8fdff0b8f9213707699570c33ccc", size = 193614, upload-time = "2026-03-31T18:29:53.497Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/fa/48/4b7fe0e34c169fa2f12532916133e0b219d2823b540733651b34fdac509a/llvmlite-0.47.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:306a265f408c259067257a732c8e159284334018b4083a9e35f67d19792b164f", size = 37232769, upload-time = "2026-03-31T18:28:43.735Z" },
@@ -734,6 +830,42 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/b3/38/89ba8ad64ae25be8de66a6d463314cf1eb366222074cfda9ee839c56a4b4/mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8", size = 9979, upload-time = "2022-08-14T12:40:09.779Z" },
]
[[package]]
name = "ml-dtypes"
version = "0.5.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "numpy" },
]
sdist = { url = "https://files.pythonhosted.org/packages/0e/4a/c27b42ed9b1c7d13d9ba8b6905dece787d6259152f2309338aed29b2447b/ml_dtypes-0.5.4.tar.gz", hash = "sha256:8ab06a50fb9bf9666dd0fe5dfb4676fa2b0ac0f31ecff72a6c3af8e22c063453", size = 692314, upload-time = "2025-11-17T22:32:31.031Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/a8/b8/3c70881695e056f8a32f8b941126cf78775d9a4d7feba8abcb52cb7b04f2/ml_dtypes-0.5.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:a174837a64f5b16cab6f368171a1a03a27936b31699d167684073ff1c4237dac", size = 676927, upload-time = "2025-11-17T22:31:48.182Z" },
{ url = "https://files.pythonhosted.org/packages/54/0f/428ef6881782e5ebb7eca459689448c0394fa0a80bea3aa9262cba5445ea/ml_dtypes-0.5.4-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a7f7c643e8b1320fd958bf098aa7ecf70623a42ec5154e3be3be673f4c34d900", size = 5028464, upload-time = "2025-11-17T22:31:50.135Z" },
{ url = "https://files.pythonhosted.org/packages/3a/cb/28ce52eb94390dda42599c98ea0204d74799e4d8047a0eb559b6fd648056/ml_dtypes-0.5.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9ad459e99793fa6e13bd5b7e6792c8f9190b4e5a1b45c63aba14a4d0a7f1d5ff", size = 5009002, upload-time = "2025-11-17T22:31:52.001Z" },
{ url = "https://files.pythonhosted.org/packages/f5/f0/0cfadd537c5470378b1b32bd859cf2824972174b51b873c9d95cfd7475a5/ml_dtypes-0.5.4-cp312-cp312-win_amd64.whl", hash = "sha256:c1a953995cccb9e25a4ae19e34316671e4e2edaebe4cf538229b1fc7109087b7", size = 212222, upload-time = "2025-11-17T22:31:53.742Z" },
{ url = "https://files.pythonhosted.org/packages/16/2e/9acc86985bfad8f2c2d30291b27cd2bb4c74cea08695bd540906ed744249/ml_dtypes-0.5.4-cp312-cp312-win_arm64.whl", hash = "sha256:9bad06436568442575beb2d03389aa7456c690a5b05892c471215bfd8cf39460", size = 160793, upload-time = "2025-11-17T22:31:55.358Z" },
{ url = "https://files.pythonhosted.org/packages/d9/a1/4008f14bbc616cfb1ac5b39ea485f9c63031c4634ab3f4cf72e7541f816a/ml_dtypes-0.5.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8c760d85a2f82e2bed75867079188c9d18dae2ee77c25a54d60e9cc79be1bc48", size = 676888, upload-time = "2025-11-17T22:31:56.907Z" },
{ url = "https://files.pythonhosted.org/packages/d3/b7/dff378afc2b0d5a7d6cd9d3209b60474d9819d1189d347521e1688a60a53/ml_dtypes-0.5.4-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ce756d3a10d0c4067172804c9cc276ba9cc0ff47af9078ad439b075d1abdc29b", size = 5036993, upload-time = "2025-11-17T22:31:58.497Z" },
{ url = "https://files.pythonhosted.org/packages/eb/33/40cd74219417e78b97c47802037cf2d87b91973e18bb968a7da48a96ea44/ml_dtypes-0.5.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:533ce891ba774eabf607172254f2e7260ba5f57bdd64030c9a4fcfbd99815d0d", size = 5010956, upload-time = "2025-11-17T22:31:59.931Z" },
{ url = "https://files.pythonhosted.org/packages/e1/8b/200088c6859d8221454825959df35b5244fa9bdf263fd0249ac5fb75e281/ml_dtypes-0.5.4-cp313-cp313-win_amd64.whl", hash = "sha256:f21c9219ef48ca5ee78402d5cc831bd58ea27ce89beda894428bc67a52da5328", size = 212224, upload-time = "2025-11-17T22:32:01.349Z" },
{ url = "https://files.pythonhosted.org/packages/8f/75/dfc3775cb36367816e678f69a7843f6f03bd4e2bcd79941e01ea960a068e/ml_dtypes-0.5.4-cp313-cp313-win_arm64.whl", hash = "sha256:35f29491a3e478407f7047b8a4834e4640a77d2737e0b294d049746507af5175", size = 160798, upload-time = "2025-11-17T22:32:02.864Z" },
{ url = "https://files.pythonhosted.org/packages/4f/74/e9ddb35fd1dd43b1106c20ced3f53c2e8e7fc7598c15638e9f80677f81d4/ml_dtypes-0.5.4-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:304ad47faa395415b9ccbcc06a0350800bc50eda70f0e45326796e27c62f18b6", size = 702083, upload-time = "2025-11-17T22:32:04.08Z" },
{ url = "https://files.pythonhosted.org/packages/74/f5/667060b0aed1aa63166b22897fdf16dca9eb704e6b4bbf86848d5a181aa7/ml_dtypes-0.5.4-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6a0df4223b514d799b8a1629c65ddc351b3efa833ccf7f8ea0cf654a61d1e35d", size = 5354111, upload-time = "2025-11-17T22:32:05.546Z" },
{ url = "https://files.pythonhosted.org/packages/40/49/0f8c498a28c0efa5f5c95a9e374c83ec1385ca41d0e85e7cf40e5d519a21/ml_dtypes-0.5.4-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:531eff30e4d368cb6255bc2328d070e35836aa4f282a0fb5f3a0cd7260257298", size = 5366453, upload-time = "2025-11-17T22:32:07.115Z" },
{ url = "https://files.pythonhosted.org/packages/8c/27/12607423d0a9c6bbbcc780ad19f1f6baa2b68b18ce4bddcdc122c4c68dc9/ml_dtypes-0.5.4-cp313-cp313t-win_amd64.whl", hash = "sha256:cb73dccfc991691c444acc8c0012bee8f2470da826a92e3a20bb333b1a7894e6", size = 225612, upload-time = "2025-11-17T22:32:08.615Z" },
{ url = "https://files.pythonhosted.org/packages/e5/80/5a5929e92c72936d5b19872c5fb8fc09327c1da67b3b68c6a13139e77e20/ml_dtypes-0.5.4-cp313-cp313t-win_arm64.whl", hash = "sha256:3bbbe120b915090d9dd1375e4684dd17a20a2491ef25d640a908281da85e73f1", size = 164145, upload-time = "2025-11-17T22:32:09.782Z" },
{ url = "https://files.pythonhosted.org/packages/72/4e/1339dc6e2557a344f5ba5590872e80346f76f6cb2ac3dd16e4666e88818c/ml_dtypes-0.5.4-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:2b857d3af6ac0d39db1de7c706e69c7f9791627209c3d6dedbfca8c7e5faec22", size = 673781, upload-time = "2025-11-17T22:32:11.364Z" },
{ url = "https://files.pythonhosted.org/packages/04/f9/067b84365c7e83bda15bba2b06c6ca250ce27b20630b1128c435fb7a09aa/ml_dtypes-0.5.4-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:805cef3a38f4eafae3a5bf9ebdcdb741d0bcfd9e1bd90eb54abd24f928cd2465", size = 5036145, upload-time = "2025-11-17T22:32:12.783Z" },
{ url = "https://files.pythonhosted.org/packages/c6/bb/82c7dcf38070b46172a517e2334e665c5bf374a262f99a283ea454bece7c/ml_dtypes-0.5.4-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:14a4fd3228af936461db66faccef6e4f41c1d82fcc30e9f8d58a08916b1d811f", size = 5010230, upload-time = "2025-11-17T22:32:14.38Z" },
{ url = "https://files.pythonhosted.org/packages/e9/93/2bfed22d2498c468f6bcd0d9f56b033eaa19f33320389314c19ef6766413/ml_dtypes-0.5.4-cp314-cp314-win_amd64.whl", hash = "sha256:8c6a2dcebd6f3903e05d51960a8058d6e131fe69f952a5397e5dbabc841b6d56", size = 221032, upload-time = "2025-11-17T22:32:15.763Z" },
{ url = "https://files.pythonhosted.org/packages/76/a3/9c912fe6ea747bb10fe2f8f54d027eb265db05dfb0c6335e3e063e74e6e8/ml_dtypes-0.5.4-cp314-cp314-win_arm64.whl", hash = "sha256:5a0f68ca8fd8d16583dfa7793973feb86f2fbb56ce3966daf9c9f748f52a2049", size = 163353, upload-time = "2025-11-17T22:32:16.932Z" },
{ url = "https://files.pythonhosted.org/packages/cd/02/48aa7d84cc30ab4ee37624a2fd98c56c02326785750cd212bc0826c2f15b/ml_dtypes-0.5.4-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:bfc534409c5d4b0bf945af29e5d0ab075eae9eecbb549ff8a29280db822f34f9", size = 702085, upload-time = "2025-11-17T22:32:18.175Z" },
{ url = "https://files.pythonhosted.org/packages/5a/e7/85cb99fe80a7a5513253ec7faa88a65306be071163485e9a626fce1b6e84/ml_dtypes-0.5.4-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2314892cdc3fcf05e373d76d72aaa15fda9fb98625effa73c1d646f331fcecb7", size = 5355358, upload-time = "2025-11-17T22:32:19.7Z" },
{ url = "https://files.pythonhosted.org/packages/79/2b/a826ba18d2179a56e144aef69e57fb2ab7c464ef0b2111940ee8a3a223a2/ml_dtypes-0.5.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0d2ffd05a2575b1519dc928c0b93c06339eb67173ff53acb00724502cda231cf", size = 5366332, upload-time = "2025-11-17T22:32:21.193Z" },
{ url = "https://files.pythonhosted.org/packages/84/44/f4d18446eacb20ea11e82f133ea8f86e2bf2891785b67d9da8d0ab0ef525/ml_dtypes-0.5.4-cp314-cp314t-win_amd64.whl", hash = "sha256:4381fe2f2452a2d7589689693d3162e876b3ddb0a832cde7a414f8e1adf7eab1", size = 236612, upload-time = "2025-11-17T22:32:22.579Z" },
{ url = "https://files.pythonhosted.org/packages/ad/3f/3d42e9a78fe5edf792a83c074b13b9b770092a4fbf3462872f4303135f09/ml_dtypes-0.5.4-cp314-cp314t-win_arm64.whl", hash = "sha256:11942cbf2cf92157db91e5022633c0d9474d4dfd813a909383bd23ce828a4b7d", size = 168825, upload-time = "2025-11-17T22:32:23.766Z" },
]
[[package]]
name = "mpmath"
version = "1.3.0"
@@ -778,13 +910,40 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/df/93/a7b983643d1253bb223234b5b226e69de6cda02b76cdca7770f684b795f5/ninja-1.13.0-py3-none-win_arm64.whl", hash = "sha256:3c0b40b1f0bba764644385319028650087b4c1b18cdfa6f45cb39a3669b81aa9", size = 290806, upload-time = "2025-08-11T15:10:18.018Z" },
]
[[package]]
name = "numba"
version = "0.53.1"
source = { registry = "https://pypi.org/simple" }
resolution-markers = [
"python_full_version >= '3.14' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
"python_full_version == '3.13.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
"python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
]
dependencies = [
{ name = "llvmlite", version = "0.36.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "numpy", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "setuptools", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/e3/7d/3d61160836e49f40913741c464f119551c15ed371c1d91ea50308495b93b/numba-0.53.1.tar.gz", hash = "sha256:9cd4e5216acdc66c4e9dab2dfd22ddb5bef151185c070d4a3cd8e78638aff5b0", size = 2213956, upload-time = "2021-03-26T09:15:50.402Z" }
[[package]]
name = "numba"
version = "0.65.0"
source = { registry = "https://pypi.org/simple" }
resolution-markers = [
"python_full_version >= '3.14' and sys_platform == 'win32'",
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
"(python_full_version >= '3.14' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
"python_full_version == '3.13.*' and sys_platform == 'win32'",
"python_full_version < '3.13' and sys_platform == 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'emscripten'",
"python_full_version < '3.13' and sys_platform == 'emscripten'",
"(python_full_version == '3.13.*' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
"(python_full_version < '3.13' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
]
dependencies = [
{ name = "llvmlite" },
{ name = "numpy" },
{ name = "llvmlite", version = "0.47.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
{ name = "numpy", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/49/61/7299643b9c18d669e04be7c5bcb64d985070d07553274817b45b049e7bfe/numba-0.65.0.tar.gz", hash = "sha256:edad0d9f6682e93624c00125a471ae4df186175d71fd604c983c377cdc03e68b", size = 2764131, upload-time = "2026-04-01T03:52:01.946Z" }
wheels = [
@@ -908,7 +1067,7 @@ name = "nvidia-cudnn-cu12"
version = "9.19.0.56"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nvidia-cublas-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
{ name = "nvidia-cublas-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/09/b8/277c51962ee46fa3e5b203ac5f76107c650f781d6891e681e28e6f3e9fe6/nvidia_cudnn_cu12-9.19.0.56-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:08caaf27fe556aca82a3ee3b5aa49a77e7de0cfcb7ff4e5c29da426387a8267e", size = 656910700, upload-time = "2026-02-03T20:40:25.508Z" },
@@ -920,7 +1079,7 @@ name = "nvidia-cufft-cu12"
version = "11.3.3.83"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nvidia-nvjitlink-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
{ name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/60/bc/7771846d3a0272026c416fbb7e5f4c1f146d6d80704534d0b187dd6f4800/nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a", size = 193109211, upload-time = "2025-03-07T01:44:56.873Z" },
@@ -950,9 +1109,9 @@ name = "nvidia-cusolver-cu12"
version = "11.7.3.90"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nvidia-cublas-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
{ name = "nvidia-cusparse-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
{ name = "nvidia-nvjitlink-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
{ name = "nvidia-cublas-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
{ name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
{ name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/c8/32/f7cd6ce8a7690544d084ea21c26e910a97e077c9b7f07bf5de623ee19981/nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:db9ed69dbef9715071232caa9b69c52ac7de3a95773c2db65bdba85916e4e5c0", size = 267229841, upload-time = "2025-03-07T01:46:54.356Z" },
@@ -964,7 +1123,7 @@ name = "nvidia-cusparse-cu12"
version = "12.5.8.93"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nvidia-nvjitlink-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
{ name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/bc/f7/cd777c4109681367721b00a106f491e0d0d15cfa1fd59672ce580ce42a97/nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b6c161cb130be1a07a27ea6923df8141f3c295852f4b260c65f18f3e0a091dc", size = 288117129, upload-time = "2025-03-07T01:47:40.407Z" },
@@ -1016,6 +1175,30 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/a2/eb/86626c1bbc2edb86323022371c39aa48df6fd8b0a1647bc274577f72e90b/nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f", size = 89954, upload-time = "2025-03-07T01:42:44.131Z" },
]
[[package]]
name = "opt-einsum"
version = "3.4.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/8c/b9/2ac072041e899a52f20cf9510850ff58295003aa75525e58343591b0cbfb/opt_einsum-3.4.0.tar.gz", hash = "sha256:96ca72f1b886d148241348783498194c577fa30a8faac108586b14f1ba4473ac", size = 63004, upload-time = "2024-09-26T14:33:24.483Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/23/cd/066e86230ae37ed0be70aae89aabf03ca8d9f39c8aea0dec8029455b5540/opt_einsum-3.4.0-py3-none-any.whl", hash = "sha256:69bb92469f86a1565195ece4ac0323943e83477171b91d24c35afe028a90d7cd", size = 71932, upload-time = "2024-09-26T14:33:23.039Z" },
]
[[package]]
name = "optax"
version = "0.2.8"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "absl-py" },
{ name = "jax" },
{ name = "jaxlib" },
{ name = "numpy" },
]
sdist = { url = "https://files.pythonhosted.org/packages/8c/f9/e3d11ae6f298ee941a0690e353a323d158ba5dedc436e75621c310845c5c/optax-0.2.8.tar.gz", hash = "sha256:5b225b35066fc3eebaa4d798f1b4173b4d57d1a480610908981f8343b50af0b0", size = 301193, upload-time = "2026-03-20T23:30:05.465Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/8a/69/6a93d8600c339d7687a05857c7907bd4dd8cf88691a5ea106d7a50af90a1/optax-0.2.8-py3-none-any.whl", hash = "sha256:e3ca2d36c99daab1800ae9dbc0545034382d6bc780b24d969e1b0df65fa31cb4", size = 402960, upload-time = "2026-03-20T23:30:03.886Z" },
]
[[package]]
name = "packaging"
version = "26.0"
@@ -1207,16 +1390,48 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/f4/7e/a72dd26f3b0f4f2bf1dd8923c85f7ceb43172af56d63c7383eb62b332364/pygments-2.20.0-py3-none-any.whl", hash = "sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176", size = 1231151, upload-time = "2026-03-29T13:29:30.038Z" },
]
[[package]]
name = "pynndescent"
version = "0.5.13"
source = { registry = "https://pypi.org/simple" }
resolution-markers = [
"python_full_version >= '3.14' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
"python_full_version == '3.13.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
"python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
]
dependencies = [
{ name = "joblib", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "llvmlite", version = "0.36.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "numba", version = "0.53.1", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "scikit-learn", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "scipy", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/7e/58/560a4db5eb3794d922fe55804b10326534ded3d971e1933c1eef91193f5e/pynndescent-0.5.13.tar.gz", hash = "sha256:d74254c0ee0a1eeec84597d5fe89fedcf778593eeabe32c2f97412934a9800fb", size = 2975955, upload-time = "2024-06-17T15:48:32.914Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/d2/53/d23a97e0a2c690d40b165d1062e2c4ccc796be458a1ce59f6ba030434663/pynndescent-0.5.13-py3-none-any.whl", hash = "sha256:69aabb8f394bc631b6ac475a1c7f3994c54adf3f51cd63b2730fefba5771b949", size = 56850, upload-time = "2024-06-17T15:48:31.184Z" },
]
[[package]]
name = "pynndescent"
version = "0.6.0"
source = { registry = "https://pypi.org/simple" }
resolution-markers = [
"python_full_version >= '3.14' and sys_platform == 'win32'",
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
"(python_full_version >= '3.14' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
"python_full_version == '3.13.*' and sys_platform == 'win32'",
"python_full_version < '3.13' and sys_platform == 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'emscripten'",
"python_full_version < '3.13' and sys_platform == 'emscripten'",
"(python_full_version == '3.13.*' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
"(python_full_version < '3.13' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32')",
]
dependencies = [
{ name = "joblib" },
{ name = "llvmlite" },
{ name = "numba" },
{ name = "scikit-learn" },
{ name = "scipy" },
{ name = "joblib", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
{ name = "llvmlite", version = "0.47.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
{ name = "numba", version = "0.65.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
{ name = "scikit-learn", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
{ name = "scipy", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/4a/fb/7f58c397fb31666756457ee2ac4c0289ef2daad57f4ae4be8dec12f80b03/pynndescent-0.6.0.tar.gz", hash = "sha256:7ffde0fb5b400741e055a9f7d377e3702e02250616834231f6c209e39aac24f5", size = 2992987, upload-time = "2026-01-08T21:29:58.943Z" }
wheels = [
@@ -1306,6 +1521,22 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/f1/12/de94a39c2ef588c7e6455cfbe7343d3b2dc9d6b6b2f40c4c6565744c873d/pyyaml-6.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b", size = 149341, upload-time = "2025-09-25T21:32:56.828Z" },
]
[[package]]
name = "pzflow"
version = "4.0.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jax" },
{ name = "jaxlib" },
{ name = "optax" },
{ name = "pandas" },
{ name = "tqdm" },
]
sdist = { url = "https://files.pythonhosted.org/packages/79/ab/fb44083de9070ec38a8ac49c85c1064fb09bc3f0f72b0839aa0efa243d39/pzflow-4.0.0.tar.gz", hash = "sha256:c3fa595a58af278d42bc41dc0b1d4c98dcc271dd51e872eb1b9273cb234b714a", size = 8712096, upload-time = "2026-05-06T21:17:40.604Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/83/ae/e82e55ea0ceb5d2a337714b691dc1022ed6251d705f49e437ae3bb42bb43/pzflow-4.0.0-py3-none-any.whl", hash = "sha256:df593c6849387fc5a9f97175d887db1e966a551fd4787f37312d0eaf0a89401d", size = 8723640, upload-time = "2026-05-06T21:17:43.277Z" },
]
[[package]]
name = "regex"
version = "2026.4.4"
@@ -1552,6 +1783,53 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/e1/e3/c164c88b2e5ce7b24d667b9bd83589cf4f3520d97cad01534cd3c4f55fdb/setuptools-81.0.0-py3-none-any.whl", hash = "sha256:fdd925d5c5d9f62e4b74b30d6dd7828ce236fd6ed998a08d81de62ce5a6310d6", size = 1062021, upload-time = "2026-02-06T21:10:37.175Z" },
]
[[package]]
name = "shap"
version = "0.51.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "cloudpickle" },
{ name = "llvmlite", version = "0.36.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "llvmlite", version = "0.47.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
{ name = "numba", version = "0.53.1", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "numba", version = "0.65.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
{ name = "numpy" },
{ name = "packaging" },
{ name = "pandas" },
{ name = "scikit-learn" },
{ name = "scipy" },
{ name = "slicer" },
{ name = "tqdm" },
{ name = "typing-extensions" },
]
sdist = { url = "https://files.pythonhosted.org/packages/a4/0a/4a3ee4b1a3654f2a9ae038a64bb3e91a42af3da07577d69b65241f010970/shap-0.51.0.tar.gz", hash = "sha256:cfa17ff213657c9d50285aa923d79b0037a62e2ee1a31bc3eec7e196b00bdb59", size = 4108336, upload-time = "2026-03-04T09:18:19.985Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/5a/ba/8c8fac8506327febada7dc58f90dc459287995bb7b8aadbc44506e61be55/shap-0.51.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:07b0367408b1b9fc51556f2ddac5ee4209cc51be592099e6d51d0834c9b037d8", size = 565741, upload-time = "2026-03-04T09:17:37.286Z" },
{ url = "https://files.pythonhosted.org/packages/49/fd/07f7c454ff5dff455576e5bb08cdb2cab05a4c1eb5e1b9959ef2ac28366d/shap-0.51.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e412bb475c9074ffd6684abb88d86d93275729b344cbfb37b4e4db37db759fbf", size = 562281, upload-time = "2026-03-04T09:17:39.006Z" },
{ url = "https://files.pythonhosted.org/packages/93/a1/37e7229be000cf608ece024dcd76edae4cc618b22b402ea78270849cac3f/shap-0.51.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1aa9f659d2028e26ac7ec34cafbc14585fdc14d0c8973e9442c65af1af1ff781", size = 1051009, upload-time = "2026-03-04T09:17:40.989Z" },
{ url = "https://files.pythonhosted.org/packages/af/c1/a9152876b04f9a05ca18bd3e8bc4bc72468ae32429bfbb30a9cbd4ad35b9/shap-0.51.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0b1f9e62d6a3fa28765d7b61abda7caf76aba21e769423fbf3ce8a7a5e498243", size = 1062849, upload-time = "2026-03-04T09:17:42.587Z" },
{ url = "https://files.pythonhosted.org/packages/80/89/38c903c438b33063b006f41d00684af8b424bb95f0fcfd8963d1501bf427/shap-0.51.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:dee16e81082dec5ce2a37c41c2b9cbebcb4bf7de79133a72d84a4093b7d4158c", size = 2014842, upload-time = "2026-03-04T09:17:44.212Z" },
{ url = "https://files.pythonhosted.org/packages/c9/fd/9b295ad15420566dca713b792d9beb65692804b96c69cc99ffec5e31db58/shap-0.51.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c3b878f6414213a12247faa00d609957fdfbcc33cfd48a6751500c4708b5666d", size = 2090611, upload-time = "2026-03-04T09:17:46.728Z" },
{ url = "https://files.pythonhosted.org/packages/20/0e/6f581645b66efff6bf091953f474eb16e64da499cfac0c552dd77559f205/shap-0.51.0-cp312-cp312-win_amd64.whl", hash = "sha256:ee76aa705927ac64acd4f506722f52596e77d3ced87078bc86bfcb4571c7b976", size = 556117, upload-time = "2026-03-04T09:17:48.68Z" },
{ url = "https://files.pythonhosted.org/packages/36/4a/77f8dc2c6874d8a27123afffcb79f540a80ed3ccfd640604e4d8beb9cc5e/shap-0.51.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f3efeef8a76e2ee735fad50f82e5a8e56ba8639f42e2fa50dc1997caed77c488", size = 564931, upload-time = "2026-03-04T09:17:51.022Z" },
{ url = "https://files.pythonhosted.org/packages/e6/5e/5c6d37992e93b3fa44509d8544281cd5ae357c8946bc0e756e78139b4baf/shap-0.51.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:724cdd8298450ae22b08ca40e07136c73e4e75dbdf8e3f07d741a291bf636dad", size = 561686, upload-time = "2026-03-04T09:17:52.462Z" },
{ url = "https://files.pythonhosted.org/packages/ec/b7/76dbca9c4b83602841c016fec7201e4146c5e6347a8b0428e7c0617ba424/shap-0.51.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:13eb21626ea671604769c847ac0604871a03df0842522087ffc00181683780a4", size = 1050719, upload-time = "2026-03-04T09:17:54.252Z" },
{ url = "https://files.pythonhosted.org/packages/64/b1/472ca0adf25215dfdbca9f398d853536413091fe47dd69bb3f67dbd445f4/shap-0.51.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f32d006680708513efff07f67dcbe44a531b242ae042dee99b7024e210391ac2", size = 1063794, upload-time = "2026-03-04T09:17:56.154Z" },
{ url = "https://files.pythonhosted.org/packages/c6/8e/9072acfcbe6abc79fbfe87360c7dcfe16d7498cdb13dc560820912eb5dd5/shap-0.51.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:33540a7e3c70bd1a742a4d0576c19b5e000165038de953d3ebf31a7bb53d01f4", size = 2012838, upload-time = "2026-03-04T09:17:57.835Z" },
{ url = "https://files.pythonhosted.org/packages/f3/65/b95588a1f48eb9e98aa61e6db31cf63a388970e4c11341d40ddece3b54f8/shap-0.51.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f461e5a1d6b0cae3fd9c6bd00c95111ed95b9e0020ec71f14291429ed17d49f4", size = 2090245, upload-time = "2026-03-04T09:17:59.501Z" },
{ url = "https://files.pythonhosted.org/packages/79/d5/1ec3120f461f31a03d1d2f1d339f5058f12c7a542d22bfcc350511eccc8a/shap-0.51.0-cp313-cp313-win_amd64.whl", hash = "sha256:5f51ca55bda10b3fa2125f2b8e08e9d6a6edcbb0e752c67050e87a6d3ca7d53b", size = 555927, upload-time = "2026-03-04T09:18:01.274Z" },
{ url = "https://files.pythonhosted.org/packages/1f/57/f48dd00ac0d9f75a1f34f5ae47ed3269e8acd541189555f39e49e6f126f4/shap-0.51.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:d0c33498ed7042f7259ff207bd3aa1cc814fb759240e5f1500e018660b597c17", size = 562390, upload-time = "2026-03-04T09:18:02.722Z" },
{ url = "https://files.pythonhosted.org/packages/8c/c8/c3b067d10c7a792fd1a32ea93f218b2c217fa99d125f79f26d31376ae246/shap-0.51.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6afaeac1fdd7883a058fb071c7044aff6c44699377a35a5d73e75b68564d0d47", size = 1050124, upload-time = "2026-03-04T09:18:04.172Z" },
{ url = "https://files.pythonhosted.org/packages/31/81/cf180b20ac0c1323b78386667a24dfc2f6d827baa0b223d84bfd5818aa03/shap-0.51.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:da930d73fa23d7a296660431f01726ae47ef2e7d9fee7e1632fb674be7b150b9", size = 1059129, upload-time = "2026-03-04T09:18:05.815Z" },
{ url = "https://files.pythonhosted.org/packages/e8/c3/45ab3242f055980938671d568540ff1dbd84eb9bf4fe0d3235432f7bad35/shap-0.51.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:331d80a993e32404dd76254f5a82cb481453b4d9e58c0e7da13a3b700a381b03", size = 2012487, upload-time = "2026-03-04T09:18:07.919Z" },
{ url = "https://files.pythonhosted.org/packages/aa/38/a25863c3c8d344e3e322b8dcbac41929b9d00cfb9df3166ac9c350d89c53/shap-0.51.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:c52aa8fb311502d5d25e8d631806326656318ab4094459ddbf1410837aaeb139", size = 2086328, upload-time = "2026-03-04T09:18:09.851Z" },
{ url = "https://files.pythonhosted.org/packages/6a/5e/60fbf1ffe0c150c4db0e80e31b3f9428e633d33ccf072e1e75227679cbfc/shap-0.51.0-cp314-cp314-win_amd64.whl", hash = "sha256:86f24dab2c64d78f38170d490a03ff6fb1b48cf3bd0a1527e9bed23e74ad5d2c", size = 559185, upload-time = "2026-03-04T09:18:11.64Z" },
{ url = "https://files.pythonhosted.org/packages/d2/56/8c5f94ae86590e612487c77b9b9bef3fd2f3c91969b3c6e8743ce06440f3/shap-0.51.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:80132eca5679e7e8da7a0d9bfee58d0a3979be25630fd6598ef608bbcefce784", size = 568928, upload-time = "2026-03-04T09:18:13.2Z" },
{ url = "https://files.pythonhosted.org/packages/a6/16/04467bf7b8430c3a5c709401ab065022a72340bc50dfaf67a1cc117ce15e/shap-0.51.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:18828bc4f78adb644ae35c50e79a246d262fa6cf17143c78cca091796b21c27b", size = 1082574, upload-time = "2026-03-04T09:18:14.899Z" },
{ url = "https://files.pythonhosted.org/packages/12/d1/3f7b841dd943a1cbb9c693ed65366c6afc1ac54c70065e0281fa82b57075/shap-0.51.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:71e18a6850af4cdeece1a3f9d4b633a421885fcfda079125e3d35ea08433d3eb", size = 2034618, upload-time = "2026-03-04T09:18:16.542Z" },
{ url = "https://files.pythonhosted.org/packages/d6/42/3668db63cb38e9648e97087d60a0d4ce569c2e8c2b8828124e6da433026f/shap-0.51.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:23c33eae29f887153ef952846ec3bff6abc0aed3aa01594e4ae66cd94a227a49", size = 2096224, upload-time = "2026-03-04T09:18:18.094Z" },
]
[[package]]
name = "shellingham"
version = "1.5.4"
@@ -1570,6 +1848,15 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" },
]
[[package]]
name = "slicer"
version = "0.0.8"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/d3/f9/b4bce2825b39b57760b361e6131a3dacee3d8951c58cb97ad120abb90317/slicer-0.0.8.tar.gz", hash = "sha256:2e7553af73f0c0c2d355f4afcc3ecf97c6f2156fcf4593955c3f56cf6c4d6eb7", size = 14894, upload-time = "2024-03-09T23:35:26.826Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/63/81/9ef641ff4e12cbcca30e54e72fb0951a2ba195d0cda0ba4100e532d929db/slicer-0.0.8-py3-none-any.whl", hash = "sha256:6c206258543aecd010d497dc2eca9d2805860a0b3758673903456b7df7934dc3", size = 15251, upload-time = "2024-03-09T07:03:07.708Z" },
]
[[package]]
name = "sympy"
version = "1.14.0"
@@ -1782,9 +2069,11 @@ name = "umap-learn"
version = "0.5.12"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "numba" },
{ name = "numba", version = "0.53.1", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "numba", version = "0.65.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
{ name = "numpy" },
{ name = "pynndescent" },
{ name = "pynndescent", version = "0.5.13", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
{ name = "pynndescent", version = "0.6.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
{ name = "scikit-learn" },
{ name = "scipy" },
{ name = "tqdm" },