text stringlengths 185 73.3k | repo stringlengths 7 100 | path stringlengths 4 146 | language stringclasses 7
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#!/usr/bin/env python3
"""
🜁∀ BaseClient — Abstract parent for all sovereign AI clients
Provides conversation history, trimming, and phi-harmonic identity.
"""
import logging
from typing import List, Dict, Any, Optional
from abc import ABC, abstractmethod
logger = logging.getLogger("sovereign_core.base")
class Bas... | AxiomicCoreness/hello_world.py | clients/base_client.py | .py | 7ae069fb92453cb2 | 7.15 | 1 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
🜁∀ MISTRAL SOVEREIGN CLIENT with quantum daemon integration ∀🜁
"""
import os
from typing import Optional, Dict, Any
from core.quantum import QuantumSovereignDaemon
from core.agents import Agents
class MTLSConfig:
"""Placeholder for mTLS configuration."""
p... | AxiomicCoreness/hello_world.py | clients/mistral.py | .py | 184c5f4396283d1b | 7.15 | 1 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
compute_seal.py – Compute SHA3-256 seals for ledger entries.
Usage:
python3 compute_seal.py < ledger_aggregate.yaml > ledger_sealed.yaml
# Or process a single entry file
python3 compute_seal.py ledger/0351.yaml
# Or process all entries in led... | AxiomicCoreness/hello_world.py | compute_seal.py | .py | 03c54319c91f924d | 7.15 | 1 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
core/__init__.py – Sovereign service entry point with automatic restart.
Usage:
python -m core
or
python core/__init__.py
Environment:
RESTART_INTERVAL_HOURS = 6 (default, float)
"""
import asyncio
import os
import signal
import subprocess
import sys
im... | AxiomicCoreness/hello_world.py | core/__init__.py | .py | 3a60086c109a200f | 7.15 | 1 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Activate sovereign core + optional sidecar.
python -m core.activate --dry-run
python -m core.activate --sidecar-only --once
python -m core.activate --core # long-running uvicorn supervisor
"""
from __future__ import annotations
import argparse
import json
im... | AxiomicCoreness/hello_world.py | core/activate.py | .py | 298e1d803ebbe042 | 7.15 | 1 |
#!/usr/bin/env python3
"""
🜁∀ SovereignConfig — Environment & API Key Management
"""
import os
from typing import Dict
from dotenv import load_dotenv
load_dotenv()
class SovereignConfig:
"""Sovereign configuration manager with φ-harmonic defaults."""
def __init__(self):
self.grok_api_key = os.gete... | AxiomicCoreness/hello_world.py | core/config.py | .py | b8000c98777a3c41 | 7.15 | 1 |
"""
core/diffuse_kl_cache.py
Diffuse KL hashed cache implementation (Entry 616 materialised).
API: DiffuseKLCache(hash_entry, add_entry, cache_distribution, base_distribution,
diffuse_kl, objective, summary, health_report)
This implementation is deterministic, uses SHA3-256 modulo M, stable soft... | AxiomicCoreness/hello_world.py | core/diffuse_kl_cache.py | .py | 759f46c6eb321ecb | 7.15 | 1 |
from typing import Dict, Any, Optional
from clients.base_client import BaseClient
from .config import SovereignConfig
try:
# Optional import of the DiffuseKLCache for ledger caching/health
from core.diffuse_kl_cache import DiffuseKLCache
except Exception:
DiffuseKLCache = None
class SovereignOrchestrator... | AxiomicCoreness/hello_world.py | core/orchestrator.py | .py | da2b852f6bf24016 | 7.15 | 1 |
#!/usr/bin/env python3
"""
Precompute FRB bridge lattice weights for the next convergence window.
Outputs JSON (default /tmp/lattice_weights.json) for CronJob + Grafana injection.
Seal: ∀∞φ² · GRAFANA_CRD_LATTICE_8645 · SEALED
"""
from __future__ import annotations
import json
import math
import os
import time
from d... | AxiomicCoreness/hello_world.py | cronjobs/precompute_lattice.py | .py | c1e2067355db9efe | 7.15 | 1 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Sovereign CMAC-512 (dual AES-256 construction placeholder)
Deterministic, side-channel-free MAC for ledger witness chains.
AES math remains pure finite-field arithmetic; no telemetry required.
"""
from __future__ import annotations
import hashlib
import hmac
from typ... | AxiomicCoreness/hello_world.py | cryptography/cmac512.py | .py | 6e34d6afe21a2d9c | 7.15 | 1 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Merkle tree (SHA-256) over ordered leaf digests.
Seal: ∀∞φ² · APP_MAIN_MERKLE_8653 · SEALED
"""
from __future__ import annotations
import hashlib
from pathlib import Path
from typing import Any, Dict, List, Optional, Sequence, Tuple
def sha256_hex(data: bytes) -> st... | AxiomicCoreness/hello_world.py | cryptography/merkle.py | .py | 3abd657d742e8e99 | 7.15 | 1 |
"""Data models for supermarket simulator."""
from dataclasses import dataclass
from typing import List, Optional
from datetime import datetime
import uuid
@dataclass
class Product:
"""Represents a product in the supermarket."""
name: str
price: float
quantity: int
category: str
product_id: str... | upperambassadorarbor/supermarket-simulator-tool | supermarket_simulator_tool/models.py | .py | 20db1aab533dc67f | 7 | 0 |
"""Core supermarket simulator engine."""
from typing import List, Optional
from .models import Product, Customer, Transaction
from datetime import datetime
import random
class SupermarketSimulator:
"""Simulates a supermarket environment with inventory and transactions."""
def __init__(self, name: str = "Supe... | upperambassadorarbor/supermarket-simulator-tool | supermarket_simulator_tool/simulator.py | .py | 9f8a6007cf9326cc | 7 | 0 |
"""Trainer module for optimizing supermarket operations."""
from typing import List, Dict, Tuple
from .models import Product
from .simulator import SupermarketSimulator
import random
class Trainer:
"""Provides optimization and training methods for supermarket simulation."""
def __init__(self, simulator: Supe... | upperambassadorarbor/supermarket-simulator-tool | supermarket_simulator_tool/trainer.py | .py | 4b0c3541be6e116e | 7 | 0 |
#!/usr/bin/env python3
"""attention-reminder.py — PreToolUse / UserPromptSubmit hook.
Once per --round token window, emit a reminder listing active MCP servers
so context drift doesn't make the model fall back to built-in tools.
Stdin: PreToolUse or UserPromptSubmit JSON payload (uses .transcript_path
and .hook_event... | pontscho/prompt-heaven | ClaudeCode/hooks/attention-reminder.py | .py | 1beb62c6bd82bced | 7.24 | 2 |
#!/usr/bin/env python3
"""
DuckDuckGo search script using only Python standard library.
Usage:
python3 search_duckduckgo.py "search phrase"
python3 search_duckduckgo.py "query1" "query2" "query3" # batch mode
"""
import sys
import urllib.request
import urllib.parse
import re
import html
def clean_html_tags(text... | pontscho/prompt-heaven | ClaudeCode/scripts/search_duckduckgo.py | .py | 1529286a073814c0 | 7.24 | 2 |
#!/usr/bin/env python3
"""
GitHub code search using grep.app API with Python standard library only.
Usage:
python3 search_github.py "search query" [options]
python3 search_github.py "query1" "query2" "query3" # batch mode
"""
import sys
import urllib.request
import urllib.parse
import json
import argparse
import ... | pontscho/prompt-heaven | ClaudeCode/scripts/search_github.py | .py | 0784f80636e0bf29 | 7.24 | 2 |
#!/usr/bin/env python3
"""
CMakeLists.txt Validator - Detect legacy CMake patterns
This script checks CMakeLists.txt files for legacy patterns and suggests
modern target-based alternatives following CMake best practices.
Usage:
python3 cmake-validator.py [file_or_directory]
python3 cmake-validator.py CMakeLis... | pontscho/prompt-heaven | ClaudeCode/skills/cmake/cmake-validator.py | .py | 0429594f8f3eb2c2 | 7.24 | 2 |
#!/usr/bin/env python3
"""
Static Build Helper for CMake Projects
Automates building CMake projects with static linking configurations
for different platforms.
Usage:
python3 build-static.py
python3 build-static.py --build-dir build-static
python3 build-static.py --verify
python3 build-static.py --cle... | pontscho/prompt-heaven | ClaudeCode/skills/static-linking/build-static.py | .py | 80b190bd14f86aa0 | 7.24 | 2 |
"""Shared helpers for the p:wiki scripts.
stdlib-only, Python 3.9+. No third-party dependencies, no LLM calls.
Implements a deliberately minimal frontmatter parser covering only the subset
documented in the p:wiki schema (SKILL.md §5):
- top-level `key: scalar`
- one level of nesting (block `key:` then indented `s... | pontscho/prompt-heaven | ClaudeCode/skills/wiki/scripts/_wikilib.py | .py | fe27abc341d8e2e0 | 7.24 | 2 |
#!/usr/bin/env python3
"""freshness.py -- read-only staleness detector for the p:wiki docs tree.
Determines which wiki pages may be out of date by comparing each page's
`verified.commit` against the current tree, using git only. No LLM, no code
navigation: this is the cheap pre-filter that tells the LLM lint pass *whi... | pontscho/prompt-heaven | ClaudeCode/skills/wiki/scripts/freshness.py | .py | 35b2455abe83879d | 7.24 | 2 |
#!/usr/bin/env python3
"""reindex.py -- regenerate docs/INDEX.md and audit the wiki structure.
Deterministic, stdlib-only, no LLM. Walks the wiki root, reads every page's
frontmatter, and:
- regenerates INDEX.md (one line per page, grouped by type), and
- audits for orphans (no inbound link), duplicate slugs, and ... | pontscho/prompt-heaven | ClaudeCode/skills/wiki/scripts/reindex.py | .py | 47d4c1e8dddbfae2 | 7.24 | 2 |
#!/usr/bin/env python3
"""
Task Batch Planner - Dependency-aware batch optimization for task execution.
Usage: task-batch-planner.py /path/to/requirements.yaml [--max-score=4]
Algorithm:
1. Build dependency graph from tasks
2. Topological sort to create execution levels
3. Detect file conflicts within each level
4. F... | pontscho/prompt-heaven | Scripts/task-batch-planner.py | .py | 20d256effac977a1 | 7.24 | 2 |
#!/usr/bin/env python3
"""
Extract implementation plan from requirements.yaml in compact YAML format.
Usage: python3 task-implementation-plan.py [path_to_requirements.yaml] [task_id1] [task_id2] ...
If task_id(s) are provided, only those specific tasks will be displayed.
If no task_id is provided, the complete implemen... | pontscho/prompt-heaven | Scripts/task-implementation-plan.py | .py | ab61afcd8f89eaf0 | 7.24 | 2 |
#!/usr/bin/env python3
"""
Task Plan - Combined task status and batch planning for requirements.yaml.
Usage: task-plan.py /path/to/requirements.yaml [--max-score=6]
Features:
1. Display all tasks with status, size, and description
2. Show summary statistics (completed, pending, in_progress)
3. Dependency analysis wit... | pontscho/prompt-heaven | Scripts/task-plan.py | .py | 94a68f866521967b | 7.24 | 2 |
#!/usr/bin/env python3
"""
Display raw YAML blocks for specific tasks from requirements.yaml file.
Usage: task-show-details.py task-001 task-002 task-003 ...
"""
import re
import sys
import os
def find_task_yaml_block(content, task_id):
"""Find and extract the raw YAML block for a specific task"""
# Find the... | pontscho/prompt-heaven | Scripts/task-show-details.py | .py | cceb12444ee5672b | 7.24 | 2 |
#!/usr/bin/env python3
"""Convert Trac/MoinMoin wiki syntax to Markdown."""
import os
import re
import sys
from urllib.parse import unquote
link_root = os.environ.get("LINK_ROOT")
trac_root = os.environ.get("TRAC_ROOT")
add_h_ids = os.environ.get("ADD_H_IDS")
_code_blocks = []
def link_wiki2md(t):
t = unquote(... | pontscho/prompt-heaven | Scripts/trac2md.py | .py | a4c3738e5c333661 | 7.24 | 2 |
#!/usr/bin/env python3
"""OWASP Benchmark adapter — CSV parser + test case loader (v0.31)."""
import csv, re
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, List, Tuple
@dataclass
class TestCase:
test_id: str
file_path: str
cwe: str
is_vulnerable: bool
def parse_e... | poliakarmai/gsc | benchmark/adapter.py | .py | b4c430c78fe7868d | 7.39 | 5 |
#!/usr/bin/env python3
# SPDX-License-Identifier: Apache-2.0
# Copyright (c) 2026 Алексей Поляков
# Licensed under Apache License 2.0 — see LICENSE
"""GSC performance benchmarks — synthetic repos at 10K / 100K / 1M LOC.
Measures wall-clock scan time, peak RSS (via RUSAGE_CHILDREN), and findings
count for each size. B... | poliakarmai/gsc | benchmark/benchmark_perf.py | .py | 8860d1ff189bf2f8 | 7.39 | 5 |
#!/usr/bin/env python3
"""CWE → GSC rule mapping for OWASP Benchmark (v0.31).
Derived from COMPLIANCE_MAP — single source of truth.
CWE without a detector → honest uncovered gap.
"""
from typing import Dict, List
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))
from gsc_compli... | poliakarmai/gsc | benchmark/cwe_map.py | .py | 87660b1d1cc316bd | 7.39 | 5 |
#!/usr/bin/env python3
"""Synthetic snippet benchmark for GSC — ground truth from known patterns.
Each pair: vulnerable code (MUST fire) + fixed code (MUST NOT fire).
Covers: GS005 SQLi, GS020 XSS, GS004 CmdInj, GS029 Secrets.
"""
import sys, json, time, tempfile
from pathlib import Path
from collections import defaul... | poliakarmai/gsc | benchmark/ghsa_benchmark.py | .py | 988a75d604734f1b | 7.39 | 5 |
#!/usr/bin/env python3
"""Замер GSC на PoF-корпусе: detect (нашёл?) → PoC-gen → PoF-verify.
Двухфазный:
--detect-only — только скан + детект (быстро, без LLM-PoC).
(без флага) — + gsc pof generate для TP-находок (медленно, LLM).
Метрики на vuln-приложениях: TP / FN / MISLABELED + PoF-verified.
На clean: FP / ... | poliakarmai/gsc | benchmark/pof_corpus/measure_pof.py | .py | d4cb95486c205834 | 7.39 | 5 |
"""Parameter sweep for 15m futures trading.
Train window and validation window are strictly separated: pick the config on
TRAIN numbers only, then judge it once on VALID. Re-running this with configs
chosen from validation results is overfitting - don't.
Usage:
python scripts/sweep_15m.py train # sweep all con... | Kalpadith/trade-advisor | scripts/sweep_15m.py | .py | 5929db6027eab138 | 7 | 0 |
"""Exchange adapter protocol. Only Binance is implemented in v1, but any
exchange that can serve OHLCV candles can be plugged in behind this interface."""
from typing import Protocol
from tradeadvisor.models import Candle
class ExchangeAdapter(Protocol):
def fetch_klines(
self,
symbol: str,
... | Kalpadith/trade-advisor | src/tradeadvisor/data/exchange.py | .py | eaec43c1b2ae562f | 7 | 0 |
"""Cache-aside market data service: serve candles from SQLite, fetching only
what is missing from the exchange. The still-forming candle is dropped here -
everything downstream sees closed candles only.
Holds one adapter per market ("spot", "futures"); every method takes the
market it should read from."""
import time... | Kalpadith/trade-advisor | src/tradeadvisor/data/service.py | .py | 12167deb10f1c942 | 7 | 0 |
"""Fibonacci retracement/extension levels off the most recent significant
swing leg. Built only from confirmed swings, so it inherits their
lookahead-safety: a leg endpoint is invisible until k bars confirm it."""
from dataclasses import dataclass
from tradeadvisor.indicators.levels import Swings
RETRACEMENT_RATIOS ... | Kalpadith/trade-advisor | src/tradeadvisor/indicators/fibonacci.py | .py | b2b544e379c14bd4 | 7 | 0 |
"""SignalEngine - the single analysis entrypoint. The CLI, the API and the
backtester all call `analyze()`, which is what guarantees backtests measure
the same logic that produces live recommendations.
This module only receives DataFrames; it never touches HTTP or SQLite."""
import math
from dataclasses import datacl... | Kalpadith/trade-advisor | src/tradeadvisor/signals/engine.py | .py | bef46a335affd941 | 7 | 0 |
"""Turn a directional signal into a concrete trade plan: entry zone, ATR-based
stop, R-multiple take-profits and fixed-risk position sizing."""
from dataclasses import dataclass, field
import pandas as pd
from tradeadvisor.indicators.fibonacci import GOLDEN_POCKET, FibLevels
from tradeadvisor.indicators.levels impor... | Kalpadith/trade-advisor | src/tradeadvisor/signals/plan.py | .py | 4eb92c3a574e6992 | 7 | 0 |
import numpy as np
from helpers import df_from_rows, make_ohlcv
from tradeadvisor.indicators.levels import cluster_levels, find_swings
def _zigzag(n_cycles: int = 6, period: int = 10):
"""Triangle wave: swing highs at the peaks, lows at the troughs."""
rows = []
for cycle in range(n_cycles):
for ... | Kalpadith/trade-advisor | tests/test_levels.py | .py | 47463c86df681e68 | 7.5 | 0 |
"""In-memory session store — the M2 stand-in for the M7 Redis checkpoint.
Keep-latest snapshot per session, in a plain dict (architecture §4: each
snapshot is cumulative, so latest-only suffices for resume; keep-latest =
overwrite). Single-process, single-event-loop by design (§2: one uvicorn
worker) and saves are awa... | dustinxie/turnstile | src/turnstile/capabilities/persistence/memory_store.py | .py | ba6de8b2bd3e32c8 | 7 | 0 |
"""KB search tool — query -> embedding server -> Milvus hybrid search.
A pure retrieval leg. The tool embeds the model's query text and searches
ONE Milvus collection under a FIXED scope filter (`expr`) that is passed
through to the search service verbatim. It never resolves users, owners,
or grants — the embedder dec... | dustinxie/turnstile | src/turnstile/capabilities/tools/kb_search.py | .py | af82bce85f2ed5be | 7 | 0 |
"""MCP tool wrapper — surfaces a discovered MCP tool as a kernel Tool.
Thin marshaling over an MCP client session (the `mcp` SDK or anything
speaking its types): `list_tools` discovery mounts one adapter per remote
tool under the `mcp__{server}__{tool}` name; `call_tool` results flatten
into the kernel ToolResult (tex... | dustinxie/turnstile | src/turnstile/capabilities/tools/mcp.py | .py | 07e6851e21675e11 | 7 | 0 |
"""Typed configuration — environment in, one frozen object out.
Root's input (architecture.md §1): every endpoint, credential and knob the
assembly needs, validated once at startup so a misconfigured deployment
fails loudly at boot instead of mid-turn. Products never import this class
— specs read attributes duck-type... | dustinxie/turnstile | src/turnstile/config.py | .py | 9f90ac7899b7c980 | 7 | 0 |
"""L0 ports — the behavioral contract the loop calls through.
Seven interfaces + the Requester handle. L1 capabilities implement the I/O ports
(Tool, LlmProvider, CompactionStrategy, CompactionCheckpoint); L2 products
implement the discipline seams (LifecycleHooks, ToolMiddleware). The engine holds
ONLY these types — ... | dustinxie/turnstile | src/turnstile/kernel/ports.py | .py | ccf2bf1c5bdf4661 | 7 | 0 |
"""Quality judge — the offer_continuation retry seam + the envelope's verdict.
When the model wants to stop, a small eval-LLM call grades the answer
against the question (JSON {"score": 0..1, "critique": "..."}). Low score
-> return critique text, which the kernel injects as a synthetic user
message and runs another r... | dustinxie/turnstile | src/turnstile/products/hooks/quality_judge.py | .py | d1dd7849bf5a2f38 | 7 | 0 |
"""Reference collector — the citation NUMBERING AUTHORITY and ground truth.
Citations work like a bibliography: someone numbers the list, the writer
cites the numbers. Here the server numbers and the model cites. Retrieval
tools render their hits with per-call numbers ("[1] ..." restarting every
call), so two kb_searc... | dustinxie/turnstile | src/turnstile/products/middleware/references.py | .py | dc464bd7f52a1069 | 7 | 0 |
"""AgentSpec — the L2 composition seam (design doc §3).
One subclass per product. The application root (the one place allowed to
know all products) constructs the right spec from config and injects it
into the neutral assembly — the loop and the assembly name NO product;
products are pure plug-ins, siblings that never... | dustinxie/turnstile | src/turnstile/products/spec.py | .py | 41f7e3dc81b942ed | 7.5 | 0 |
"""support_bot — the first product: an internal support/HR assistant over a
curated knowledge base, with the web as a supplementary source.
Composition only: which shared L1 tools it mounts, its persona, its neutral
knobs. Hooks (quality judge) and middleware (reference collector) attach in
their own commits and regis... | dustinxie/turnstile | src/turnstile/products/specs/support_bot.py | .py | eb625981f4e719b0 | 7.5 | 0 |
"""Application root — config in, an assembled agent out.
The one module allowed to know every layer (architecture.md §1): it reads
the typed config, builds the L1 capabilities, picks the L2 spec, and hands
back a driver-neutral bundle. Web, CLI and batch drivers all call the same
`assemble()` and get the identical obj... | dustinxie/turnstile | src/turnstile/root.py | .py | cf2ce64f99c6a423 | 7 | 0 |
"""FastAPI app factory — the web driver's entry point.
`create_app()` reads config via root (the service never imports the config
layer — the c6 contract), builds the process-wide snapshot store, and wires
the routes. The process starts at the driver; root is a function it calls,
not an entry point (architecture.md §2... | dustinxie/turnstile | src/turnstile/service/app.py | .py | 21b84cc40784578f | 7 | 0 |
"""AuthN — who is making this request.
JWT (HS256) verified against the deployment's `jwt_secret`; the principal is
the token's `sub` claim. Secret unset = auth OFF: every request resolves to
the ANONYMOUS principal, so ownership logic stays uniform in dev.
The IdP story (SAML/FortiAuthenticator) terminates at a futu... | dustinxie/turnstile | src/turnstile/service/auth.py | .py | f5e1e9c857fecf70 | 7 | 0 |
"""The response envelope — the service-added closing event of every turn.
Everything a chat client needs to FINISH rendering a turn, in one frame:
the final answer (from the snapshot, so a judge-retried turn reports the
accepted answer, never a concatenation of drafts) with its References
section appended, a determini... | dustinxie/turnstile | src/turnstile/service/envelope.py | .py | f084fe95336d2f73 | 7 | 0 |
"""Citation file serving — one endpoint, opaque expiring recipient-bound tokens.
The Reference section links documents as `/v1/files/<token>`; the token IS
the (encrypted) claim `{region, filename, sub, exp}` — Fernet, so it is
opaque in the URL (no path, no region, no filename leaks), tamper-proof
(decryption fails o... | dustinxie/turnstile | src/turnstile/service/files.py | .py | 7839cd39611d713e | 7 | 0 |
"""Worker-local conversation registry — HTTP conversation id ↔ running agent.
One entry per conversation: the AssembledAgent bundle plus its spawned
handle. Created on the conversation's first request (resume comes free —
assemble() reads the shared store); reused for every later request, so a
mid-turn POST steers the... | dustinxie/turnstile | src/turnstile/service/registry.py | .py | 947ec72268464c48 | 7 | 0 |
"""The turn endpoint — POST a message, receive the turn as Server-Sent Events.
The SSE stream IS the driver protocol serialized verbatim (architecture.md
§2): one SSE event per AgentEvent — `event:` carries the snake_cased event
class, `data:` its fields as JSON — ending with the terminal turn_complete.
(The service-a... | dustinxie/turnstile | src/turnstile/service/routes.py | .py | a432cb8df701177e | 7 | 0 |
"""SSO login — SAML in, our JWT out.
FortiAuthenticator (the IdP) authenticates the employee; THIS service issues
the credential (auth.mint_token — the one minting path). The browser flow:
GET /sso -> 302 to the IdP's login page
POST /sso/acs <- the IdP posts the signed SAMLResponse here;
... | dustinxie/turnstile | src/turnstile/service/sso.py | .py | 156ab0e7fc56e372 | 7 | 0 |
"""
Update the CI permissions configuration file.
This script updates the `CI_PERMISSIONS.json` file, which defines the CI permissions granted to each user.
The format of `CI_PERMISSIONS.json` is as follows:
{
"username1": {
"can_tag_run_ci_label": true,
"can_rerun_failed_ci": true,
"cool... | kunpengcompute/sglang | .github/update_ci_permission.py | .py | e82d2cf7748ed4fa | 7 | 0 |
"""
Benchmark: Fused Gate+Cumsum vs Separate Gate + Cumsum.
Compares two paths:
- Separate: torch gate activation -> chunk_local_cumsum (2 steps)
- Fused: kda_gate_chunk_cumsum (single kernel)
Both produce the same output: cumsum of gate-activated g.
Usage:
python bench_fused_gate_cumsum.py
python ben... | kunpengcompute/sglang | benchmark/bench_linear_attention/bench_fused_gate_cumsum.py | .py | 907c1a06988c3922 | 7 | 0 |
# This script benchmarks MRotaryEmbedding.get_rope_index_glm4v (GLM4V mrope index builder).
# It generates synthetic multimodal input_ids + attention_mask (+ optional image/video grids),
# runs benchmarks.
#
# == Usage Examples ==
#
# python3 benchmark_rope_index.py --device cuda --num-tokens 1024 2048 --benchmark-iter... | kunpengcompute/sglang | benchmark/bench_rope/benchmark_rope_index.py | .py | 13ec7a491ef29cc0 | 7 | 0 |
"""
Adapted from
https://github.com/stanfordnlp/dspy/blob/34d8420383ec752037aa271825c1d3bf391e1277/intro.ipynb#L9
"""
import argparse
import dspy
from dspy.datasets import HotPotQA
class BasicQA(dspy.Signature):
"""Answer questions with short factoid answers."""
question = dspy.InputField()
answer = ds... | kunpengcompute/sglang | benchmark/dspy/bench_dspy_intro.py | .py | 560b89ece928d7fa | 7 | 0 |
from typing import Optional
import numpy as np
import torch
# Import the function to benchmark
from sglang.srt.layers.attention.fla.layernorm_gated import (
_layer_norm_fwd as layer_norm_fwd,
)
from sglang.srt.layers.attention.fla.layernorm_gated import (
rms_norm_ref,
)
def benchmark_layer_norm_fwd(
M:... | kunpengcompute/sglang | benchmark/fla/benchmark_layernorm_gated.py | .py | 11ed1677e67feda9 | 7 | 0 |
import os
import sys
from typing import List
import av
from datasets import load_dataset
def find_video_files(video_dir) -> List[str]:
if os.path.isfile(video_dir):
return [video_dir]
video_files = []
for root, dirs, files in os.walk(video_dir):
for file in files:
if file.end... | kunpengcompute/sglang | benchmark/hicache/nextqa.py | .py | e9df6be92812245a | 7 | 0 |
"""
Acceptance Checker - 驗收記錄檢查
檢查 Ticket 是否有驗收記錄（關鍵字搜尋），以及是否需要驗收。
"""
import sys
from pathlib import Path
from typing import Optional, Tuple
# 加入 hooks 目錄（acceptance_checkers 的上層）
_hooks_dir = Path(__file__).parent.parent
_claude_dir = _hooks_dir.parent
if str(_claude_dir) not in sys.path:
sys.path.insert(0, st... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/acceptance_checker.py | .py | 81df03b5ebaba408 | 7 | 0 |
"""
Children Checker - 子任務完成度檢查（遞迴，含 closed/completed 終態）
檢查父 Ticket 的所有後代（子、孫…）是否已落入終止狀態
（`completed` 或 `closed`），未完成時產生阻擋訊息。
設計理念（對應 0.18.0-W10-036 任務鏈核心哲學）：
父 Ticket 的責任是「問題被解決」，不是「分析報告寫完」。
子 Ticket 實作/驗證完成才是父責任履行的證據；
若後代仍有未完成項，父就不應該 complete。
"""
import sys
from pathlib import Path
from typing import... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/children_checker.py | .py | 3e5d3f1327a2294b | 7 | 0 |
"""
Custom H2 Checker - 自定義 H2 章節偵測（W17-072）
W17-072：偵測 ticket body 中出現的非 Schema H2 章節，於 complete 時輸出 warning
（不阻擋）。配合 `.claude/references/agent-definition-standard-details.md`「章節結構規則
（W17-072）」「禁止自定義 H2」條款，讓 agent 違規寫入 `## 實作摘要` / `## 驗證指令與結果` 等自定義 H2 時能被
主線程及時察覺。
設計要點：
- 不阻擋（僅警告）：避免與 W17-071 既有 hook 邏輯重複擋，warning 是... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/custom_h2_checker.py | .py | 7599c847c8010984 | 7 | 0 |
"""
Error Pattern Attribution Filter - 精確歸屬新增 error-pattern 至來源 Ticket
PC-099 防護：acceptance-gate-hook 場景 #17 AUQ 原本僅比對 mtime > ticket.started_at，
會把「同一 session 內其他工作新增的 PC」誤報為「當前 ticket 新增」，造成 false positive。
本模組提供 `filter_error_patterns_by_ticket_scope()`，將 mtime-based 候選清單再依
「是否真正屬於當前 ticket scope」過濾，僅保留與當前 ticket ... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/error_pattern_attribution.py | .py | 870de68b1a9beafb | 7 | 0 |
"""
Execution Log Checker - 執行日誌填寫檢查
檢查 Ticket 的 Solution/Test Results 區段是否有實質內容。
"""
import re
# W17-071：Schema 定義章節名清單（與 ticket_validator._SCHEMA_SECTION_NAMES 同步）。
# 擷取 section 內容時只把這些章節名當作邊界，避免 agent 自定義 H2
# （如 `## 實作摘要`）把 schema section 範圍切斷。
# 來源：.claude/pm-rules/ticket-body-schema.md
# Spawn Requests 於 0.0.1... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/execution_log_checker.py | .py | ae4699a4c5d13ac1 | 7 | 0 |
"""
Experiment Artifact Checker - complete 前實驗器材殘留掃描
`ticket track complete <id>` 前掃描工作區，找出屬於本票、依規範命名
（`experiment-<ticket-id>-<用途>.<副檔名>`）但尚未妥善處置的實驗器材，
不依賴票面登記本身是否完整。
背景：實驗器材存活期治理規範原僅要求「執行 complete 的一方於 complete
前人工掃描工作區」，多視角審查指出人工自檢的執行完全依賴收尾方記得執行，
而該規範的制訂本身正是源於一次收尾判斷失準的實測案例。本 checker 把該
人工步驟自動化，人工自檢降為 fallback（para... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/experiment_artifact_checker.py | .py | 2e13d33588fc6382 | 7 | 0 |
"""
5W1H Checker - 5W1H 欄位完整性檢查
檢查 Ticket frontmatter 的 5W1H 欄位是否仍有「待定義」。
"""
from typing import List
def check_5w1h_completeness(frontmatter: dict, logger) -> List[str]:
"""
檢查 5W1H 欄位是否仍有「待定義」。
Args:
frontmatter: Ticket frontmatter 結構
logger: 日誌物件
Returns:
List[str] - 仍為待... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/five_w1h_checker.py | .py | 62518c5940ccffa6 | 7 | 0 |
"""
Hook Protection Acceptance Checker - 防護類 hook ticket 的必含 acceptance +
產生路徑盤點表正本檢查
背景：一個新註冊的 guard hook 可能已註冊卻零效力且日誌零筆，而撰寫者與 PM
皆會因單元測試全綠、settings.json 已註冊、實機 dogfooding 通過三項訊號而誤信
防護已生效。此為結構性風險而非個案，且規則文字層級的預防措施（PC-BAL-033
早已列出對應要求）已證明無法單靠文件落實——用戶因此裁示強制層須為 acceptance
條目加 hook 硬擋。
零效力有兩條各自成立的成因，2026-08-18 實測後範圍已收窄（P... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/hook_protection_acceptance_checker.py | .py | ac1257cdef14f0db | 7 | 0 |
"""
Responsibility Scope Checker - Ticket 職責邊界判準（0.2.1-W3-052.1 由 C3 移植）
移植自 `.claude/lib/ticket_quality/detectors.py` 的 C3 Ambiguous Responsibility
檢測。原始四項判準（層級標示 / 職責描述清晰度 / 檔案範圍對齊層級 / 驗收條件對齊
層級關鍵詞）全數依賴 `[Layer X]` / `Layer X:` 標示格式，該格式在現行 154+ 既有
ticket 語料普及度 0（父票 Problem Analysis 盤點結論），無法直接沿用。
重寫依據（實測，見 0.2.1-W3-... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/responsibility_scope_checker.py | .py | 83ea9f9ee07f2aaa | 7 | 0 |
"""
Self-Check Visibility Checker - Layer 1 自檢可觀測性檢查（W17-064）
W17-064：偵測 IMP/ANA/DOC ticket 的 Solution 章節是否含 `### 自檢結果` 子章節。
若缺少則輸出 warning（不阻擋 complete），提示代理人執行 Layer 1 自檢
（依 `.claude/references/agent-self-check-template.md`）。
設計依據（Hook 行為 / 觸發範圍 / 豁免機制三維度決策）：
- Hook 行為：B warning only（exit 0 + stderr，不阻擋 complete）
-... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/self_check_visibility_checker.py | .py | b8fc39bf931996ec | 7 | 0 |
"""
Spawn Request Checker - Spawn Requests 章節處理狀態檢查
對應 Ticket 1.5.0-W5-024（1.5.0-W5-022 ANA 結論）：
agent 執行中透過 `ticket track add-spawn-request` 產生的 Spawn Requests 條目，
若在 ticket complete 前仍為 `status: pending`，代表 PM 尚未評估是否要建立對應
ticket（`processed`）或評估後決定不需要（`dismissed`）。
Why: Spawn Request 條目有確定性 schema（what/why/priority/... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/spawn_request_checker.py | .py | 4dbb821e4c5a7fc7 | 7 | 0 |
"""
Ticket Parser - Ticket frontmatter 欄位提取和型別判斷
負責從 Ticket frontmatter 提取 children、status、type 等欄位，
以及判斷 Ticket 類型（DOC/ANA）。
"""
import sys
from pathlib import Path
from datetime import datetime
from typing import Optional, List, Tuple
# 加入 hooks 目錄（acceptance_checkers 的上層）
_hooks_dir = Path(__file__).parent.parent... | tarrragon/graph_project_docs_manager | .claude/hooks/acceptance_checkers/ticket_parser.py | .py | f449e91db88f8dda | 7 | 0 |
#!/usr/bin/env python3
# /// script
# requires-python = ">=3.9"
# dependencies = ["pyyaml"]
# ///
"""
Active Dispatch Tracker Hook - PostToolUse (Agent)
功能: PostToolUse(Agent) 觸發時記錄派發到 dispatch-active.json（含 agent_id）+
housekeeping（超時清理/orphan 偵測）。
dispatch 記錄清理和完成廣播已遷移至 SubagentStop handler（W10-066）。
觸發時... | tarrragon/graph_project_docs_manager | .claude/hooks/active-dispatch-tracker-hook.py | .py | b067408492c3f4bc | 7 | 0 |
#!/usr/bin/env python3
"""
Agent Definition Standard Check Hook（SessionStart）
對 .claude/agents/*.md 執行知識載體分配約束的執法掃描：
1. 三區塊結構計數（允許產出 / 禁止行為 / 適用情境）須 == 3，缺漏輸出 top 3 違規檔。
2. 內容錯置啟發式 WARNING：偵測本應放規則/方法論層的「品質檢查全文 / 步驟化清單」
被塞進 agent 定義檔（規範表的存在即病史，agent-definition-standard-details.md）。
3. 模板同步檢查：language-agent-template.... | tarrragon/graph_project_docs_manager | .claude/hooks/agent-definition-standard-check-hook.py | .py | 5eab2db9aa686ddb | 7 | 0 |
#!/usr/bin/env python3
# /// script
# requires-python = ">=3.9"
# dependencies = []
# ///
"""
Agent Prompt Length Guard Hook - PreToolUse Hook
功能：
1. 硬上限：檢查 Agent/Task 派發的 prompt 行數是否超過 30 行限制（PC-040）。
超過表示 context 未正確存入 Ticket，應先更新 Ticket Context Bundle。
2. 軟提示（W17-048 方案 B）：prompt 介於 10-30 行且未偵測到模板關鍵字時，
... | tarrragon/graph_project_docs_manager | .claude/hooks/agent-prompt-length-guard-hook.py | .py | 849666de6df8f178 | 7 | 0 |
#!/usr/bin/env python3
"""
5W1H Token 生成器
生成和管理 5W1H 對話 Token
"""
import os
import re
import secrets
import string
import sys
from datetime import datetime
from pathlib import Path
def get_token_dir() -> Path:
"""取得 Token 目錄路徑"""
script_dir = Path(__file__).parent
project_root = script_dir.parent.parent
... | tarrragon/graph_project_docs_manager | .claude/hooks/archived/5w1h-token-generator.py | .py | 3031086f41ddee86 | 7 | 0 |
#!/usr/bin/env python3
"""
代理人分派錯誤恢復工具模組
提供錯誤訊息解析、自動重試邏輯和糾正歷史記錄功能。
版本：v0.12.N.7
作者：rosemary-project-manager
日期：2025-10-18
使用範例：
from agent_dispatch_recovery import dispatch_with_auto_retry, record_agent_correction
# 自動重試邏輯（主線程使用）
success, final_agent, attempts = dispatch_with_auto_retry(
prompt=... | tarrragon/graph_project_docs_manager | .claude/hooks/archived/agent_dispatch_recovery.py | .py | e501700872e3a3b5 | 7 | 0 |
#!/usr/bin/env python3
"""
check-next-objectives.py
檢查中版本層級的 todolist.yaml 任務狀態
用於 smart-version-check 指令的第三階段檢查
"""
import os
import sys
import re
from pathlib import Path
def get_project_root():
script_dir = Path(__file__).parent.absolute()
return str(Path(script_dir).parent.parent)
def read_file(path):
... | tarrragon/graph_project_docs_manager | .claude/hooks/archived/check-next-objectives.py | .py | 71195a768a93a58f | 7 | 0 |
#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = []
# ///
"""
Required Features Check - Session 啟動必要功能驗證
驗證所有在 required-features-config.json 中定義的必要功能是否正確配置和可用。
檢查類型：
- script: 執行腳本並檢查返回值
- script_exists: 檢查腳本是否存在且有執行權限
- settings_hook: 檢查 Hook 是否已在 settings.json 中註冊
Usage:
uv run... | tarrragon/graph_project_docs_manager | .claude/hooks/archived/required-features-check.py | .py | d7799fdf28e25b06 | 7 | 0 |
#!/usr/bin/env python3
"""
show-cache-stats.py - Ticket Quality Gate 快取統計查詢腳本
"""
import json
import sys
from pathlib import Path
def get_project_root():
"""定位專案根目錄"""
current_dir = Path.cwd()
while current_dir != current_dir.parent:
if (current_dir / "CLAUDE.md").exists():
return curr... | tarrragon/graph_project_docs_manager | .claude/hooks/archived/show-cache-stats.py | .py | 73d58e79b81f00af | 7 | 0 |
#!/usr/bin/env python3
"""
TDD Phase 完整性檢查 Hook
確保 TDD 四階段完整執行，不可跳過或簡化
"""
import os
import re
import sys
from datetime import datetime
from pathlib import Path
# 添加 hooks 目錄到 path 以便導入 common_functions
sys.path.insert(0, str(Path(__file__).parent))
try:
from lib.common_functions import setup_project_environment... | tarrragon/graph_project_docs_manager | .claude/hooks/archived/tdd-phase-check-hook.py | .py | 82a55a6fc1604870 | 7 | 0 |
#!/usr/bin/env python3
"""
test-summary.py - 測試摘要腳本
功能: 執行 flutter test 並生成簡潔摘要
解決 flutter test 輸出過大問題 (4.6MB+ → <50KB)
使用: python3 test-summary.py [可選測試路徑]
例如: python3 test-summary.py test/unit/
"""
import os
import sys
import subprocess
import tempfile
from pathlib import Path
from datetime import datetime
d... | tarrragon/graph_project_docs_manager | .claude/hooks/archived/test-summary.py | .py | 02ff84f09796f010 | 7.5 | 0 |
#!/usr/bin/env -S uv run --quiet --script
# /// script
# requires-python = ">=3.11"
# dependencies = ["pyyaml"]
# ///
"""
AUQ Option Pattern Detector Hook - PM 回覆含選項 pattern 時提醒使用 AskUserQuestion
補齊 PC-064 多層防護的最後一層（Hook 層）。既有 askuserquestion-reminder-hook 只處
理 Task 工具派發含多 Ticket ID 的場景；本 Hook 偵測 PM 對話中途列選項（A./B./C.、
... | tarrragon/graph_project_docs_manager | .claude/hooks/auq-option-pattern-detector-hook.py | .py | d9089cb20d7a7071 | 7 | 0 |
#!/usr/bin/env -S uv run --quiet --script
# /// script
# requires-python = ">=3.11"
# dependencies = ["pyyaml"]
# ///
"""
Bash Edit Guard Hook - PreToolUse Hook
功能: 偵測 Bash 中的高風險操作。兩模式處置不同——原地編輯出警告後放行，
裸 cd / pushd 直接擋下並指引 git -C
觸發時機: 執行 Bash 工具時
檢測模式 A（原地編輯，建議改用 Edit 工具）:
- sed -i 或 sed --in-place (原地編輯，不... | tarrragon/graph_project_docs_manager | .claude/hooks/bash-edit-guard-hook.py | .py | e860cec8394b587f | 7 | 0 |
#!/usr/bin/env -S uv run --quiet --script
# /// script
# requires-python = ">=3.10"
# dependencies = ["pyyaml"]
# ///
"""
Branch Status Reminder - SessionStart Hook 用於顯示分支狀態
在 Session 啟動時顯示當前分支狀態和 worktree 列表，
如果在保護分支上，會提醒建立 feature 分支。
Hook Event: SessionStart
改進 (v1.3.0, W13-011):
- PC-076 防護落地：列出全部 tracked-modifi... | tarrragon/graph_project_docs_manager | .claude/hooks/branch-status-reminder.py | .py | f39665d1bc05e3c9 | 7 | 0 |
"""Anthropic Mythos bridge for GPT-Doug.
This module does not copy, redistribute, or modify Anthropic model weights.
It routes GPT-Doug requests through Anthropic's Messages API using the existing
:class:`agents.llm_backend.AnthropicProvider` implementation.
Claude Mythos 5 requires Anthropic authorization. The bridg... | sonoxo/gpt-doug-llm | agents/mythos_bridge.py | .py | 2f80c0e267b163f9 | 7.24 | 2 |
from holidaylens.aliases import canonical_name
from holidaylens.models import Holiday
from holidaylens.normalization import normalize_name
def split_names(name: str) -> list[str]:
"""Split a combined holiday name into individual names."""
return [
part.strip()
for part in name.split(";")
... | Drona-jadhav7/HolidayLens | src/holidaylens/matching.py | .py | f61e960ecf80091e | 7 | 0 |
"""Scientific dependency graph without duplicated experiment parameters."""
from __future__ import annotations
from dataclasses import asdict, dataclass
COLLECTION = "gamma-gated-sparsity"
@dataclass(frozen=True)
class Experiment:
slug: str
dependencies: tuple[str, ...] = ()
training_run: str | None = ... | eoinmurray/pinglab | experiments/collections/gamma_gated_sparsity/graph.py | .py | fa126863ed44ca77 | 7 | 0 |
"""Draw exp023's existing panels from retained analysis; no measurements or simulation."""
from pathlib import Path
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
from experiments.helpers import theme
from experiments.helpers.figsave import save_figure
from matplotlib.patc... | eoinmurray/pinglab | experiments/exp023/plots.py | .py | edc5b4f8526acba6 | 7 | 0 |
"""Convergence audit definitions; training identities remain owned by exp022."""
from experiments.exp022.recipe import training_run_cell, training_run_values
SLUG = "exp024"
TRAINING_RUN = "TR-02"
MODELS = training_run_values(TRAINING_RUN, "model")
SEEDS = training_run_values(TRAINING_RUN, "seed")
WINDOW = 10
ACCURAC... | eoinmurray/pinglab | experiments/exp024/recipe.py | .py | 0fd2920485a34283 | 7 | 0 |
"""Numerical definitions retained from the flat exp041 runner."""
import numpy as np
from scipy import signal as sp_signal
from .recipe import F_GAMMA_BAND_HZ
def _peak_with_parabolic(psd: np.ndarray, freqs: np.ndarray) -> float:
"""Locate the gamma-band peak with parabolic sub-bin interpolation.
Returns N... | eoinmurray/pinglab | experiments/exp041/measurements.py | .py | b783f060c6bfc165 | 7 | 0 |
"""ZMQ protocol between trainer (PUSH/PULL bind) and stateless scorer worker.
Audio crosses as absolute tmpfs paths (/dev/shm); scores come back raw —
sigmoid/std/lambda composition lives in qwen3_tts_post_training.reward.
Validated with pydantic — no manual json building.
"""
from __future__ import annotations
from... | FelysNeko/qwen3-tts-post-training | src/qwen3_tts_post_training/client/protocol.py | .py | d7d1c7622950d9eb | 7 | 0 |
"""Scorer-side ZMQ worker client (mirror of trainer Client).
Trainer binds PUSH/PULL; this worker connects PULL/PUSH.
Encapsulates the connect block so serve.py has no raw zmq boilerplate.
"""
from __future__ import annotations
import zmq
from qwen3_tts_post_training.client.protocol import ScoreRequest, ScoreRespon... | FelysNeko/qwen3-tts-post-training | src/qwen3_tts_post_training/client/scorer.py | .py | a057819ffc78bd6b | 7 | 0 |
"""metrics.json (preprocess output, §16) → reward-side calibration.
The preprocess worker computes the SV centroid and the sim distribution of
the actual training corpus; these two functions are the ONLY consumers the
trainer/scorer need, replacing the playground npy path and the hardcoded
0.8585/0.0966 pair.
"""
fro... | FelysNeko/qwen3-tts-post-training | src/qwen3_tts_post_training/reward/metrics.py | .py | 28a7c14b8339a6ee | 7 | 0 |
"""Reward v3.1 (design truth source: playground/SV_REWARD_FINDINGS.md §四/§七).
R = λ_sv·r_sv + λ_wer·r_wer + λ_mos·r_mos (RAW magnitudes, no std division)
- r_sv = sigmoid((sim_e2v2 − 0.8585)/0.0966) (E2V2 speaker sim, unit-normalized)
- r_wer = 1 − CER_qwen3asr (normalize() + edit... | FelysNeko/qwen3-tts-post-training | src/qwen3_tts_post_training/reward/reward.py | .py | 8b1a1ed06e33ef24 | 7 | 0 |
"""GRPO family training losses — pure torch, no model, switchable variants.
The three algorithms (design truth source: MD §七 + §4.3 of Fish S2 report,
arXiv:2603.08823):
- "vanilla" A = (R − mean) / (std + eps); per-token clipped ratio loss.
DeepSeekMath / FlowTTS-GRPO.
- "dr" A = R − mean (NO st... | FelysNeko/qwen3-tts-post-training | src/qwen3_tts_post_training/train/grpo.py | .py | a3332afb779cf7ce | 7 | 0 |
"""MossFormer2_SE_48K checkpoint loading — ported from
clearvoice/clearvoice/networks.py::SpeechModel.load_model/_load_model (the
non-ModuleList branch, model_key='model'), with the fetch moved to a plain
huggingface_hub snapshot_download (canonical HF cache, no CWD-relative
checkpoint_dir, no chdir sandbox, no symlink... | FelysNeko/qwen3-tts-post-training | workers/preprocess/src/preprocess/clearvoice/load.py | .py | 4006b8b3b7d027b3 | 7 | 0 |
import torch
import torch.nn as nn
from torch import Tensor
import torch.nn.init as init
import torch.nn.functional as F
EPS = 1e-8
class GlobalLayerNorm(nn.Module):
"""Calculate Global Layer Normalization.
Arguments
---------
dim : (int or list or torch.Size)
Input shape from an expect... | FelysNeko/qwen3-tts-post-training | workers/preprocess/src/preprocess/clearvoice/mossformer2_se/conv_module.py | .py | cd16d84a55ed22a2 | 7 | 0 |
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