text stringlengths 185 73.3k | repo stringlengths 7 100 | path stringlengths 4 146 | language stringclasses 7
values | hash stringlengths 16 16 | score float64 7 8.5 | stars int64 0 237k |
|---|---|---|---|---|---|---|
from abc import ABC, abstractmethod
from typing import ClassVar
from ragbits.chat.history import compressors
from ragbits.core.prompt.base import ChatFormat
from ragbits.core.utils.config_handling import WithConstructionConfig
class ConversationHistoryCompressor(WithConstructionConfig, ABC):
"""
An abstract ... | rajath-raman/ragbits | packages/ragbits-chat/src/ragbits/chat/history/compressors/base.py | .py | e631a9f7f40fec33 | 7 | 0 |
from pydantic import BaseModel
from ragbits.chat.history.compressors import ConversationHistoryCompressor
from ragbits.core.llms.base import LLM
from ragbits.core.prompt import ChatFormat, Prompt
class LastMessageAndHistory(BaseModel):
"""
A class representing the last message and the history of messages.
... | rajath-raman/ragbits | packages/ragbits-chat/src/ragbits/chat/history/compressors/llm.py | .py | 5d64869d49de79ba | 7 | 0 |
import base64
import functools
import hmac
import json
import logging
import time
import uuid
from abc import ABC, abstractmethod
from collections.abc import AsyncGenerator, Callable
from typing import Any, Literal
from ragbits.core.prompt.base import ChatFormat
from ragbits.core.utils import get_secret_key
from ..pe... | rajath-raman/ragbits | packages/ragbits-chat/src/ragbits/chat/interface/_interface.py | .py | bb396aefdf9cefee | 7 | 0 |
from pydantic import BaseModel, Field
class FormField(BaseModel):
"""Field in a feedback form."""
name: str = Field(description="Name of the field")
type: str = Field(description="Type of the field (text, select, etc.)")
required: bool = Field(description="Whether the field is required")
label: s... | rajath-raman/ragbits | packages/ragbits-chat/src/ragbits/chat/interface/forms.py | .py | e5ce2be5286c7db3 | 7 | 0 |
from enum import Enum
from typing import Any, cast
from pydantic import BaseModel, ConfigDict, Field
class MessageRole(str, Enum):
"""Defines the role of the message sender in a conversation."""
USER = "user"
ASSISTANT = "assistant"
SYSTEM = "system"
class Message(BaseModel):
"""Represents a s... | rajath-raman/ragbits | packages/ragbits-chat/src/ragbits/chat/interface/types.py | .py | dc7ea49b19521d4b | 7 | 0 |
from abc import ABC, abstractmethod
from ragbits.chat.interface.types import ChatContext, ChatResponse
class HistoryPersistenceStrategy(ABC):
"""Base class for history persistence strategies."""
@abstractmethod
async def save_interaction(
self,
message: str,
response: str,
... | rajath-raman/ragbits | packages/ragbits-chat/src/ragbits/chat/persistence/base.py | .py | bf6576917412c73a | 7 | 0 |
import json
from pathlib import Path
from ..interface.types import ChatContext, ChatResponse
from .base import HistoryPersistenceStrategy
class FileHistoryPersistence(HistoryPersistenceStrategy):
"""Strategy that saves chat history to dated files in a directory."""
def __init__(self, base_path: str | Path):... | rajath-raman/ragbits | packages/ragbits-chat/src/ragbits/chat/persistence/file.py | .py | 1c7c7bf05710273b | 7 | 0 |
import uuid
from typing import Any, Protocol, TypeVar
import sqlalchemy
from sqlalchemy import JSON, TIMESTAMP, Column, Float, ForeignKey, Integer, String, Text, func
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, create_async_engine
from sqlalchemy.orm import DeclarativeBase
from typing_extensions impo... | rajath-raman/ragbits | packages/ragbits-chat/src/ragbits/chat/persistence/sql.py | .py | 2b75a40b3c20e83b | 7 | 0 |
import json
from collections.abc import AsyncGenerator
from typing import Any
from unittest.mock import MagicMock, mock_open, patch
import pytest
from fastapi.testclient import TestClient
from ragbits.chat.api import RagbitsAPI
from ragbits.chat.interface import ChatInterface
from ragbits.chat.interface.forms import ... | rajath-raman/ragbits | packages/ragbits-chat/tests/unit/test_api.py | .py | be0b84e0781fecb2 | 7.5 | 0 |
import importlib.util
import os
import pkgutil
from pathlib import Path
from typing import Annotated
# litellm downloads cost map on import, which creates extra latency in CLI.
# This config disables it.
os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
import click
import typer
from typer.main import get_command
... | rajath-raman/ragbits | packages/ragbits-cli/src/ragbits/cli/__init__.py | .py | d8552f6a7177a04b | 7 | 0 |
from pathlib import Path
from typing import Protocol, TypeVar
import typer
from pydantic.alias_generators import to_snake
from rich.console import Console
from ragbits.core.config import CoreConfig, core_config
from ragbits.core.utils.config_handling import InvalidConfigError, NoPreferredConfigError, WithConstruction... | rajath-raman/ragbits | packages/ragbits-cli/src/ragbits/cli/_utils.py | .py | 3d6f2fd57e1b9478 | 7 | 0 |
"""Add local auth support
Revision ID: 0002
Revises: 0001
Create Date: 2026-03-09
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
revision: str = "0002"
down_revision: Union[str, None] = "0001"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence... | Cenkay1/s3BEAR | backend/alembic/versions/0002_local_auth.py | .py | 697a5b7de520d159 | 7.3 | 3 |
"""Add audit log table
Revision ID: 0003
Revises: 0002
Create Date: 2026-03-12
"""
from typing import Sequence, Union
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from alembic import op
revision: str = "0003"
down_revision: Union[str, None] = "0002"
branch_labels: Union[str, Sequence[str], None... | Cenkay1/s3BEAR | backend/alembic/versions/0003_audit_log.py | .py | 222b418f715bb179 | 7.3 | 3 |
"""Add api_tokens table
Revision ID: 0005
Revises: 0004
Create Date: 2026-08-19
"""
from typing import Sequence, Union
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from alembic import op
revision: str = "0005"
down_revision: Union[str, None] = "0004"
branch_labels: Union[str, Sequence[str], Non... | Cenkay1/s3BEAR | backend/alembic/versions/0005_api_tokens.py | .py | 79f1a514dbcdc43d | 7.3 | 3 |
"""Add storage_providers and managed_buckets tables (multi-provider support)
Migrates the legacy single S3 connection (stored under the s3_* app_settings
keys) into a default StorageProvider row so existing deployments keep working.
Revision ID: 0007
Revises: 0006
Create Date: 2026-08-23
"""
import uuid
from typing ... | Cenkay1/s3BEAR | backend/alembic/versions/0007_storage_providers.py | .py | 3ed971cb57c450a6 | 7.3 | 3 |
"""Add bucket_tags table
Stores key/value tags for managed buckets in s3BEAR's own database, powering
tag-based filtering and key/value autocomplete in the console.
Revision ID: 0008
Revises: 0007
Create Date: 2026-08-24
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
revision... | Cenkay1/s3BEAR | backend/alembic/versions/0008_bucket_tags.py | .py | 52322d8a802e75a4 | 7.3 | 3 |
"""Add tag-based targeting to cleanup policies
A policy targets buckets either by name pattern (existing bucket_patterns) or by
a single tag (tag_key + optional tag_value). The target_type column records which.
Revision ID: 0009
Revises: 0008
Create Date: 2026-08-25
"""
from typing import Sequence, Union
import sql... | Cenkay1/s3BEAR | backend/alembic/versions/0009_policy_tag_targeting.py | .py | 97d8b108e352a962 | 7.3 | 3 |
"""Shared helper for endpoints that can transform an image on the fly.
Keeps the streaming fast-path untouched when no transform is requested, and
returns a fully-buffered transformed Response otherwise.
"""
from fastapi import HTTPException, status
from fastapi.responses import Response
from app.core.config import s... | Cenkay1/s3BEAR | backend/app/api/v1/image_utils.py | .py | aa436f406aa44c5c | 7.3 | 3 |
import uuid
from datetime import datetime
from typing import Optional
from sqlalchemy import Boolean, DateTime, String, Text, ForeignKey, func
from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlalchemy.dialects.postgresql import UUID
from app.core.database import Base
class StorageProvider(Base):
... | Cenkay1/s3BEAR | backend/app/models/provider.py | .py | 78fddf6416b15408 | 7.3 | 3 |
# backend/core/chat_engine.py — VIA Phase 5: Conversational Chat Engine
# Uses Gemini first, falls back to Groq if Gemini hits rate limits
import logging
import os
import re
import httpx
from backend.core.llm_provider import llm
from backend.database.db import get_history_by_id
from backend.core.memory_store import ge... | Gollavinaykumar1/via | backend/core/chat_engine.py | .py | 1871d826c609a5dd | 7 | 0 |
# backend/core/code_writer.py — Phase 3
# Handles LLM code block extraction and project file saving
import os
import re
import logging
from datetime import datetime
logger = logging.getLogger("AI-Digital-Company")
# Base directory where all generated projects are saved
PROJECTS_BASE_DIR = os.path.join(os.path.dirnam... | Gollavinaykumar1/via | backend/core/code_writer.py | .py | 557844d3b50617b0 | 7 | 0 |
# backend/core/inter_agent_bus.py
# Phase 2: Inter-Agent Communication Bus
#
# Enables departments to share context with each other BEFORE final output.
# Example flow:
# - backend finishes → shares API design summary → security reads it
# - security finishes → shares threat model → devops reads it
# - architectu... | Gollavinaykumar1/via | backend/core/inter_agent_bus.py | .py | 4a53bc99ba490e6e | 7 | 0 |
# backend/core/memory_store.py — Phase 3: Agent Memory (DB-mode agnostic)
import json
import logging
from backend.database.db import (
save_agent_mem, get_agent_mem, get_all_mem,
save_meeting_db, get_meeting_db, get_recent_meetings_db
)
logger = logging.getLogger("AI-Digital-Company")
async def save_agent_m... | Gollavinaykumar1/via | backend/core/memory_store.py | .py | 025818fa8a6d4afc | 7 | 0 |
# backend/core/render_deployer.py
#
# FIX 1: live_url comes from Render API response, not constructed from svc_name.
# FIX 2: _redeploy() sends full env var set so nothing gets wiped.
# FIX 3: Uses RENDER_DATABASE_URL from .env — never auto-provisions a DB.
# Table isolation handled per-app by fullstack_builder... | Gollavinaykumar1/via | backend/core/render_deployer.py | .py | 1c3a6176aecb96d1 | 7 | 0 |
# backend/core/ws_manager.py
# Phase 2: WebSocket Manager
# Manages all active WebSocket connections per job_id
# Broadcasts real-time streaming events to connected clients
import asyncio
import json
from datetime import datetime
from fastapi import WebSocket
from .logger import logger
class ConnectionManager:
"... | Gollavinaykumar1/via | backend/core/ws_manager.py | .py | f07ca250d7cef40e | 7 | 0 |
# backend/routers/filebrowser_router.py — VIA Phase 3: Project File Browser
import os
import json
import zipfile
import io
from pathlib import Path
from fastapi import APIRouter, Depends, HTTPException
from fastapi.responses import Response, JSONResponse
from backend.auth.auth import get_current_active_user
router = ... | Gollavinaykumar1/via | backend/routers/filebrowser_router.py | .py | 95ef69955d214c4e | 7 | 0 |
# backend/tasks/orchestration_task.py
# Phase 2: Background orchestration via Celery
# Runs the full CEO → agents pipeline asynchronously
# Job status tracked in DB; results retrievable via GET /jobs/{job_id}
# Gracefully handles missing Celery/Redis
import asyncio, json, time, logging
from backend.tasks.celery_app im... | Gollavinaykumar1/via | backend/tasks/orchestration_task.py | .py | db8a072347ed9989 | 7 | 0 |
#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.11"
# dependencies = ["pillow>=10"]
# ///
"""Render display copies of wallpapers into .display/.
Two treatments:
- Photos: the image full-bleed with a minimal shadowed caption (title +
credit) in the bottom-right, placed inside the region that s... | arnavw/awe-some-wallpapers | rotator/compose.py | .py | 792ebc97404b65cb | 7 | 0 |
#!/usr/bin/python3
"""Wallpaper fetcher for the WorldWallpapers rotation.
Downloads high-resolution, landscape-oriented photos of architecture,
buildings, and landscapes into ~/Pictures/WorldWallpapers.
Sources, in order of preference:
1. Unsplash official API (only if `unsplash_access_key` is set in config.json)
... | arnavw/awe-some-wallpapers | rotator/fetch.py | .py | db485ccb391fbe65 | 7 | 0 |
#!/usr/bin/python3
"""Legacy wallpaper setter for macOS 15 (Sequoia) and earlier — stamps every
Space/display entry of the wallpaper store (~/Library/Application Support/
com.apple.wallpaper/Store/Index.plist) and restarts WallpaperAgent, which is
the only path that covers all Spaces plus the lock screen on those syste... | arnavw/awe-some-wallpapers | rotator/set_wallpaper.py | .py | 6003483a7391596d | 7 | 0 |
"""Fail closed when two package directories are not byte-identical."""
from __future__ import annotations
import argparse
import hashlib
from pathlib import Path
import sys
def _package_entries(directory: Path, label: str) -> tuple[str, str]:
"""Return the ZIP and manifest names after validating *directory*."""... | mtchuang1981/clin-data-nav | scripts/compare_packages.py | .py | 0a44b6de937d38f1 | 7 | 0 |
#!/usr/bin/env python3
"""Bounded read-only SARIF structural observer; not a validator or triage tool."""
import json,sys
def band(n): return 'none' if n==0 else 'one' if n==1 else 'few' if n<5 else 'many'
def summarize(text):
d=json.loads(text)
if not isinstance(d,dict): return {'top_level':'non-object'}
runs=d.get... | ranaaryan-testing-a/sarif-related-location-cue | sarif_related_location_cue.py | .py | 00cd20f7e3b3d4cf | 7 | 0 |
# Name: Rabbi Ahmed
# Student Number: 10698964
# admin.py — CLI to manage board games in data.txt (JSON list).
import json
def inputInt(prompt):
"""Read a positive integer (> 0) from the user; re-prompt on bad input."""
while True:
raw = input(prompt)
try:
value = int(raw)
... | Judiciousmurich/board-game-catalogue | admin.py | .py | d3b1c5b1467c8ca1 | 7 | 0 |
import os
import torch
import logging
from pathlib import Path
from pyannote.audio import Pipeline
from huggingface_hub import snapshot_download
from pyannote.audio.core.task import Problem, Resolution, Specifications
from transformers import (
AutoModelForSpeechSeq2Seq,
AutoProcessor,
WhisperFeatureExtract... | ma14ch/Avano | src/models.py | .py | ae03ee3d992c09ae | 7.35 | 4 |
import os
import tempfile
import uuid
import librosa
import numpy as np
import torch
import logging
from pydub import AudioSegment, effects
from pathlib import Path
from models import get_asr_model, get_diarization_pipeline
# Configure logging
logger = logging.getLogger(__name__)
# Target loudness (dBFS) that quiet/... | ma14ch/Avano | src/processor.py | .py | 18dd5c0a41e37307 | 7.35 | 4 |
"""v0.5.0 任务持久化：队列/历史落 SQLite，服务重启恢复未完成任务。
设计（任务 2-3）：
- 单表 jobs，一行一个任务的最新快照（与 Job.snapshot() 字段对齐，
progress 以 JSON 存储）
- 终态任务（done/cancelled/error）保留为历史，非终态（queued/running/
paused）在 JobManager 启动时按 seq 顺序恢复重跑——配合翻译缓存，
重跑只剩增量段（已完成段的译文直接命中缓存零调用）
- 运行配置文件（.ui_run_config_*.yaml）由 app.py 落盘、任务终态才清理，
服务被杀时文件仍在，重启恢复... | ShZbz/pdf-translator | server/store.py | .py | 6f319102b1c233ce | 7.15 | 1 |
"""P2 验收单测（SCHEME §6 P2）：
- batch 协议 roundtrip（LLM 返回 JSON → 译文落位）
- 缓存二次运行 0 调用
- max_llm_calls 触顶行为（不崩、保留原文、stderr 警告）
- [FORMULA_n] 计数守恒
- 坏响应重试一次后降级保留原文
"""
from __future__ import annotations
import json
import threading
import time
import sys
from pathlib import Path
from types import SimpleNamespace
sys.path.in... | ShZbz/pdf-translator | tests/test_smoke.py | .py | 5e87a73751b106b9 | 7.65 | 1 |
"""v0.4.2 单测：多语言注册表 / 跨平台字体 / 语言化排版 / Unicode 断行 / 修复回归。
全部零网络零 API key；字体目录相关用 tmp_path + monkeypatch 隔离，
不依赖本机是否装了对应字体。
"""
from __future__ import annotations
import sys
from pathlib import Path
from types import SimpleNamespace
import pytest
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
import tr... | ShZbz/pdf-translator | tests/test_v042.py | .py | e7c3966c31066139 | 7.65 | 1 |
"""SQLite 翻译缓存。key = MD5(engine|model|lang_pair|text)。
SCHEME: 二次运行 0 调用（验收清单 #2）。
"""
from __future__ import annotations
import hashlib
import sqlite3
from pathlib import Path
class TranslationCache:
def __init__(self, db_path: str | Path, max_entries: int = 0):
"""max_entries: v0.4.3 容量上限（0=不限制）。
... | ShZbz/pdf-translator | translator/cache.py | .py | 63e06a2554de1d82 | 7.15 | 1 |
"""YAML 配置 → dataclass 校验 + provider presets（SCHEME §5）。"""
from __future__ import annotations
from dataclasses import dataclass, field
from pathlib import Path
import yaml
PRESETS: dict[str, dict] = {
"deepseek": {"base_url": "https://api.deepseek.com/v1", "env": "DEEPSEEK_API_KEY"},
"openai": {"bas... | ShZbz/pdf-translator | translator/config.py | .py | b11f38ee77586dc9 | 7.15 | 1 |
"""文字层提取：page → 结构化块列表（BBox/size/flags/font）。
<50 字符的扫描页候选走 OCR 降级（D7），OCR 引擎为可选依赖，
未安装时该页保留空文本并计入警告。
"""
from __future__ import annotations
import pymupdf
def page_has_text_layer(page, min_chars: int = 50) -> bool:
"""D7: 文字层字符数 < min_chars 视为扫描页候选。"""
return len(page.get_text().strip()) >= min_chars
def... | ShZbz/pdf-translator | translator/extract.py | .py | 2253c6147c70bcc8 | 7.15 | 1 |
"""v0.4.3 惰性 OCR 接入：扫描页文字提取（paddleocr 可选依赖）。
设计（任务 2-3 落地）：
- OCR 引擎完全惰性：只有文档里检出扫描页且 engine 可用时才 import。
未安装 paddleocr 时给出明确警告并保持旧行为（扫描页原样保留），
绝不因缺依赖崩溃。
- 引擎单例按 (engine, lang) 缓存——paddleocr 初始化（模型加载）很重，
每页重建会把 8 页文档的 OCR 时间放大 8 倍。
- 输出仅取文本行（按 y 排序拼接）。bbox 不用：扫描页的"翻译回贴"
需要覆盖原图再排版（PDFMathTranslate 式），风险高；v0.4.3 ... | ShZbz/pdf-translator | translator/ocr.py | .py | c972106c5902f963 | 7.15 | 1 |
"""修复 _wrap_cjk: Latin 词不拆行(词边界断行), CJK 保持逐字断行。
v0.2.2 任务1/5 排版包:英文保留段/双语原文层被逐字拆碎的根因是
贪心逐字断行对 Latin 文本无词边界概念。改为混合策略:
- 连续 Latin/digit 串视为不可分 token
- 行首放不下整个 token 时整词压到下一行;超长 token(>行宽)硬切兜底
- CJK 字符维持逐字+避头尾
"""
from __future__ import annotations
import re
import pymupdf
# 行首禁则标点（不可出现在行首，悬挂到上一行行尾）
_NO_LINE_START = s... | ShZbz/pdf-translator | translator/wrap_mixed.py | .py | 127c65f86c37a73f | 7.15 | 1 |
"""
Distributed dataloaders for pretraining.
BOS-aligned bestfit:
- Every row starts with BOS token
- Documents packed using best-fit algorithm to minimize cropping
- When no document fits remaining space, crops a document to fill exactly
- 100% utilization (no padding), ~35% tokens cropped at T=2048
Comp... | askerlee/kappa-swiglu | nanochat/dataloader.py | .py | 2fbb50ff7d7981aa | 7 | 0 |
#!/usr/bin/env python3
import subprocess
import time
import sys
def get_gpu_utilizations():
"""Get current GPU utilization percentages for all visible GPUs."""
result = subprocess.run(
['nvidia-smi', '--query-gpu=utilization.gpu', '--format=csv,noheader,nounits'],
capture_output=True,
t... | askerlee/kappa-swiglu | scripts/auto-shutdown.py | .py | c4e4c17eb9e7e552 | 7 | 0 |
"""
Base class for all Tasks.
A Task is basically a dataset of conversations, together with some
metadata and often also evaluation criteria.
Example tasks: MMLU, ARC-Easy, ARC-Challenge, GSM8K, HumanEval, SmolTalk.
"""
import random
class Task:
"""
Base class of a Task. Allows for lightweight slicing of the ... | askerlee/kappa-swiglu | tasks/common.py | .py | 182aee93d56f9870 | 7 | 0 |
"""Tool adapters."""
from __future__ import annotations
__all__ = ("CellProfilerAdapter", "OpenHCSAdapter")
_EXPORT_NAMES = frozenset(__all__)
_MISSING_EXPORT = object()
def _adapter_export_modules():
import benchmark.adapters.openhcs as openhcs_adapter
yield openhcs_adapter
import benchmark.adapters... | OpenHCSDev/openhcs | benchmark/adapters/__init__.py | .py | aa93075a5770d135 | 7.35 | 4 |
"""Shared .cppipe source resolution for benchmark adapters."""
from __future__ import annotations
from collections.abc import Callable, Mapping
from dataclasses import dataclass
from pathlib import Path
from typing import Any
from urllib.parse import urlparse
from urllib.request import urlopen
from benchmark.contrac... | OpenHCSDev/openhcs | benchmark/adapters/cppipe_source.py | .py | 92dbff9de92e77e1 | 7.35 | 4 |
"""Dataset contracts for benchmark platform."""
from __future__ import annotations
from pathlib import Path
from dataclasses import dataclass
from enum import Enum
class ArchiveFormat(Enum):
"""Supported dataset archive formats."""
ZIP = "zip"
class DatasetValidationRule(Enum):
"""Dataset acquisition... | OpenHCSDev/openhcs | benchmark/contracts/dataset.py | .py | 2d35266b1dac6c3f | 7.35 | 4 |
"""Self-materializing benchmark manifest root contracts."""
from __future__ import annotations
import os
import shutil
import subprocess
from abc import ABC, abstractmethod
from collections.abc import Mapping, Sequence
from dataclasses import dataclass
from enum import Enum
from pathlib import Path
from typing import... | OpenHCSDev/openhcs | benchmark/contracts/manifest_acquisition.py | .py | 8a09c47497c234fa | 7.35 | 4 |
"""Pipeline contracts for benchmark platform."""
from __future__ import annotations
from dataclasses import dataclass, field
from types import MappingProxyType
from benchmark.contracts.values import BenchmarkParameterMap
def immutable_benchmark_parameters(
values: BenchmarkParameterMap | None = None,
) -> Benc... | OpenHCSDev/openhcs | benchmark/contracts/pipeline.py | .py | 54857ee11404bdc5 | 7.35 | 4 |
"""Tool adapter abstract base class for benchmark platform."""
from __future__ import annotations
from abc import ABC, abstractmethod
from collections.abc import Sequence
from pathlib import Path
from dataclasses import dataclass
from typing import ClassVar
from benchmark.contracts.metric import MetricCollector
from... | OpenHCSDev/openhcs | benchmark/contracts/tool_adapter.py | .py | 6ff5923c8f7ba171 | 7.35 | 4 |
"""Typed expectations for in-tree CellProfiler .cppipe fixtures."""
from __future__ import annotations
from collections.abc import Mapping, Sequence
from dataclasses import dataclass
from enum import Enum
import os
from pathlib import Path
from benchmark.contracts.comparison_manifest import ComparisonManifest
from b... | OpenHCSDev/openhcs | benchmark/converter/cppipe_corpus.py | .py | b533f62e8366f3b7 | 7.35 | 4 |
"""Dataset acquisition utilities."""
from __future__ import annotations
import subprocess
import shutil
import zipfile
from abc import ABC, abstractmethod
from dataclasses import dataclass
from pathlib import Path
from urllib.parse import unquote, urlparse
from metaclass_registry import AutoRegisterMeta
import reque... | OpenHCSDev/openhcs | benchmark/datasets/acquire.py | .py | d1d7f66bd78a0a5b | 7.35 | 4 |
"""Benchmark dataset filesystem path authorities."""
from __future__ import annotations
import os
from enum import Enum
from pathlib import Path
OPENHCS_BENCHMARK_DATASET_CACHE_ROOT_ENV = "OPENHCS_BENCHMARK_DATASET_CACHE_ROOT"
CELLPROFILER_EXAMPLES_ROOT_ENV = "CELLPROFILER_EXAMPLES_ROOT"
class BenchmarkPathRootKi... | OpenHCSDev/openhcs | benchmark/datasets/cache.py | .py | df88ef97ca44ec11 | 7.35 | 4 |
"""Materialize acquired datasets into benchmark manifests."""
from __future__ import annotations
import json
from collections.abc import Iterable
from pathlib import Path
from benchmark.contracts.dataset import AcquiredDataset, DatasetSpec
from benchmark.datasets.cache import default_benchmark_dataset_cache_root
d... | OpenHCSDev/openhcs | benchmark/datasets/manifest.py | .py | f3ab9ca4152d54bb | 7.35 | 4 |
"""Registry of benchmark datasets."""
from __future__ import annotations
from abc import ABC
from typing import ClassVar
from pathlib import Path
from metaclass_registry import AutoRegisterMeta
from openhcs.constants.constants import Microscope
from benchmark.contracts.dataset import (
ArchiveFormat,
Benchm... | OpenHCSDev/openhcs | benchmark/datasets/registry.py | .py | 10a2fa46fbe4c56b | 7.35 | 4 |
"""Wall-clock timing metric."""
import time
from benchmark.contracts.metric import MetricCollector
class TimeMetric(MetricCollector):
"""Measures execution time using perf_counter."""
name = "execution_time_seconds"
def __init__(self):
self.start_time: float | None = None
self.end_time... | OpenHCSDev/openhcs | benchmark/metrics/time.py | .py | fb1a4facd5f7a93c | 7.35 | 4 |
#!/usr/bin/env python3
"""
CellProfiler IdentifyPrimaryObjects - Exact Replication in OpenHCS
This module provides an exact reimplementation of CellProfiler's IdentifyPrimaryObjects
algorithm for nuclei segmentation, using the same algorithmic steps:
1. Smoothing (Gaussian blur with auto-calculated sigma)
2. Threshol... | OpenHCSDev/openhcs | benchmark/pipelines/cellprofiler_nuclei.py | .py | 0213e71025d67399 | 7.35 | 4 |
#!/usr/bin/env python3
"""
CellProfiler IdentifyPrimaryObjects - GPU-Accelerated (pyclesperanto)
Same algorithm as cellprofiler_nuclei.py but running on GPU.
This demonstrates OpenHCS's backend polymorphism - same algorithm, different backend.
Performance comparison:
- CellProfiler (CPU, single-threaded): 195 AWS mac... | OpenHCSDev/openhcs | benchmark/pipelines/cellprofiler_nuclei_gpu.py | .py | 47a851b41c383bc0 | 7.35 | 4 |
"""Registry of benchmark pipelines."""
from __future__ import annotations
from abc import ABC
from typing import ClassVar
from metaclass_registry import AutoRegisterMeta
from benchmark.contracts.pipeline import PipelineSpec
from benchmark.contracts.values import BenchmarkParameterMap
class BenchmarkPipelineDeclar... | OpenHCSDev/openhcs | benchmark/pipelines/registry.py | .py | 22db38a979d30a52 | 7.35 | 4 |
"""Benchmark runner."""
from __future__ import annotations
from dataclasses import dataclass
from pathlib import Path
from typing import Any, Iterable, Mapping
from benchmark.adapters.cellprofiler import (
CellProfilerAdapter,
native_cellprofiler_reference_provenance,
)
from benchmark.adapters.openhcs import... | OpenHCSDev/openhcs | benchmark/runner.py | .py | 089f0c3a31496dcf | 7.35 | 4 |
"""Shared runtime environment setup for benchmark entrypoints."""
from __future__ import annotations
import logging
import os
from openhcs.core.native_threading import configure_native_thread_count
def configure_headless_cpu_benchmark_runtime(log_level: str) -> None:
"""Configure deterministic CPU-only benchma... | OpenHCSDev/openhcs | benchmark/runtime_env.py | .py | c5661239230be69e | 7.35 | 4 |
"""[GTX]-prefixed logging shim for bt-hosted processes.
Exports `gtx_log` with the same surface as `bt.logging`
(`.info` / `.warning` / `.error` / `.debug` / `.success`). Records are
routed through `bt.logging` with `prefix="[GTX]"` so they pick up bt's
formatter + level config — grep-friendly for operators, no f-stri... | ronaldo-porto/orthoxplus_gold | GenTRX/src/bt_log.py | .py | 6260a608ae604825 | 7 | 0 |
# SPDX-FileCopyrightText: 2025 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""DataLoader for order stream parquets — per-field inputs and labels.
Lazy chunk-indexed loading: only parquet metadata is read at init time.
File contents are loaded, tokenized, and cached on demand via LRU.
Uses ChunkS... | ronaldo-porto/orthoxplus_gold | GenTRX/src/dataloader.py | .py | ecbf9c76de5f958d | 7 | 0 |
# SPDX-FileCopyrightText: 2025 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""Window-based distributed training primitives.
Wraps the existing training infrastructure to support the distributed protocol:
1. train_window() — train for N steps, return a GradientDelta
2. apply_gradient() — appl... | ronaldo-porto/orthoxplus_gold | GenTRX/src/distributed.py | .py | 4517b29f2f999937 | 7 | 0 |
# SPDX-FileCopyrightText: 2025 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""Training and evaluation metrics for GenTRX order model.
Provides human-interpretable metrics beyond raw CE loss:
- Per-field top-k accuracy (especially order_type direction accuracy)
- Mid-price direction accuracy (... | ronaldo-porto/orthoxplus_gold | GenTRX/src/metrics.py | .py | 445f6a7c6d07beb6 | 7 | 0 |
# SPDX-FileCopyrightText: 2025 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""Minimal LOB matching engine for inference.
Adapted from mlib/core/orderbook.py (Microsoft MarS). Stripped to continuous
auction only — no call auction, no agent framework, no event loop.
Used at inference time to compu... | ronaldo-porto/orthoxplus_gold | GenTRX/src/orderbook.py | .py | bf733f7691e6a058 | 7 | 0 |
# SPDX-FileCopyrightText: 2025 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""State extractor for the validator/proxy.
Walks a `MarketSimulationStateUpdate` (or compatible dict) and produces a
serialization-friendly tick packet that the gradient server can ingest.
State packet format:
{
... | ronaldo-porto/orthoxplus_gold | GenTRX/src/state_packager.py | .py | ee5afc3dae7bd19d | 7 | 0 |
# SPDX-FileCopyrightText: 2025 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""Order tokenizer — per-field binning, no composite tokens.
Each order field is binned independently. No flat vocabulary.
Fields: order_type, price, vol_int, vol_dec, interval.
Conditioning (not tokenized): lob_volumes, t... | ronaldo-porto/orthoxplus_gold | GenTRX/src/tokenizer.py | .py | e2e9bfb7f9692271 | 7 | 0 |
# SPDX-FileCopyrightText: 2025 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""Wandb integration for GenTRX gradient server.
Mirrors every aggregation event (already written to aggregation.jsonl) to a
Weights & Biases run. Soft dependency — import failure or missing project
config means the module... | ronaldo-porto/orthoxplus_gold | GenTRX/src/wandb_ops.py | .py | 949e11ad5fb92aa0 | 7 | 0 |
"""Tests for GradientAggregator assignment lifecycle.
Verifies the event-driven assignment state machine:
PENDING -> DATA_READY -> DELIVERED -> GRADIENT_IN -> SCORED
These tests use a mocked store so they run without S3.
"""
from unittest.mock import MagicMock
import pytest
@pytest.fixture
def aggregator(tmp_path... | ronaldo-porto/orthoxplus_gold | GenTRX/tests/test_assignment_lifecycle.py | .py | 404ae1f61bee264a | 7.5 | 0 |
# SPDX-FileCopyrightText: 2026 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""
Miner training pipeline — pool-shutdown must not deadlock on stuck downloads.
Regression for the observed live bug (2026-07-02): benchmark miner on a
remote R2-backed deployment received 27 assignments over ~2 hours bu... | ronaldo-porto/orthoxplus_gold | GenTRX/tests/test_miner_training_no_pool_deadlock.py | .py | a107265eebf862f9 | 7.5 | 0 |
"""network_from_subtensor: bucket-prefix network resolution.
Regression for the aggregator/validator prefix split — a netuid-2 localnet
resolved to `localnet` for the validator (which passed netuid) but `mainnet`
for the gradient server (which didn't), so their S3 prefixes diverged and the
aggregator never saw miner g... | ronaldo-porto/orthoxplus_gold | GenTRX/tests/test_network_resolution.py | .py | 87f298651f61b628 | 7.5 | 0 |
# SPDX-FileCopyrightText: 2026 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""
PR-2 — concurrency hardening tests.
Black-box assertions on the locks introduced this round:
* ``GradientServer._assignments_lock`` exists and is an RLock so the API
path can re-enter through ``_create_assignmen... | ronaldo-porto/orthoxplus_gold | GenTRX/tests/test_pr2_concurrency.py | .py | 6f437a223fbf9cc3 | 7.5 | 0 |
# SPDX-FileCopyrightText: 2026 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""
PR-3 — scoring fairness + observability.
Covers the validator-side reward changes (EMA bootstrap-at-0, per-round
idempotency) and the gradient_server scores-payload additions
(rejection_reason + held_unavailable).
`sc... | ronaldo-porto/orthoxplus_gold | GenTRX/tests/test_pr3_scoring_fairness.py | .py | e666de1ec71ccd30 | 7.5 | 0 |
# SPDX-FileCopyrightText: 2026 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""
PR-4 — performance micro-fixes.
Tests:
1. The decompress→compress round-trip on the aggregated dense gradient
is gone — we build the GradientDelta directly. Verified by checking
that the new code path produ... | ronaldo-porto/orthoxplus_gold | GenTRX/tests/test_pr4_performance.py | .py | fa0ada217726f9f4 | 7.5 | 0 |
# SPDX-FileCopyrightText: 2026 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""
PR-5 — defensive guards + circuit-breaker observability.
Tests:
1. `_prune_dedup_keys` drops `miner_X/round_Y` entries whose round_id is
older than `_DEDUP_RETENTION_ROUNDS` rounds behind `_agg_round`.
2. The ... | ronaldo-porto/orthoxplus_gold | GenTRX/tests/test_pr5_defensive.py | .py | edee8435de9926df | 7.5 | 0 |
# SPDX-FileCopyrightText: 2026 Rayleigh Research <to@rayleigh.re>
# SPDX-License-Identifier: MIT
"""GenTRX startup isolation — `_restore_written_parquets` wall-clock budget.
Background: on sim-local-dev with a stale 12 GB minio data-dir, boto3's
paginated `ListObjectsV2` against the validator's bucket hangs in
`socket... | ronaldo-porto/orthoxplus_gold | GenTRX/tests/test_pr_isolation_restore_timeout.py | .py | f0c11fe47cb5028a | 7.5 | 0 |
"""Tests for price/volume scale binding in the gradient server.
Pin the rule: the live sim's priceDecimals/volumeDecimals bind the scale when
present; a tick that reaches the server with no decimals falls back to the
canonical simulation_0.xml values (pd=2, vd=4) and logs a warning, never a
silently-wrong scale.
Run:... | ronaldo-porto/orthoxplus_gold | GenTRX/tests/test_scale_binding.py | .py | 4744e2f125f81377 | 7.5 | 0 |
"""Plumbing tests for the plain-text adapter (DESIGN.md section 6.1).
Why the adapter is worth real tests even though it is barely 60 lines: silent
chunking bugs (dropping the last paragraph, swallowing a chunk, reading files
in a different order each run) produce a subtly wrong corpus rather than an
error. Nothing do... | willnordnet/tiny-gpt-trainer | tests/test_adapters.py | .py | 069d52890544ef5d | 7.5 | 0 |
"""Plumbing tests for the data-prep stage (DESIGN.md section 6.1).
This stage is where a mistake becomes hardest to trace. An out-of-range token
id or a wrong dtype does not fail here, it fails inside the model as an opaque
indexing error, a long way from the code that caused it. And a leaky train/val
split does not f... | willnordnet/tiny-gpt-trainer | tests/test_data_prepare.py | .py | 873a3887696c7e84 | 7.5 | 0 |
"""Plumbing tests for the byte-level BPE tokenizer (DESIGN.md section 6.1).
A silently broken round trip is the worst bug class in this project: it does
not raise, it poisons every downstream stage, and the symptom (a model emitting
nonsense) is indistinguishable from a small model behaving exactly as expected.
So the... | willnordnet/tiny-gpt-trainer | tests/test_tokenizer.py | .py | 89b5c5d6a598d463 | 7.5 | 0 |
"""The adapter interface: the one abstraction in this project that matters.
Everything downstream of an adapter (tokenizer, token shards, model, training
loop, sampler) works on text and knows nothing about where that text came from.
That is the entire point: an adapter is the *only* place domain-specific logic
is all... | willnordnet/tiny-gpt-trainer | tinygpt/adapters/base.py | .py | 092a2bd56e3d2ac5 | 7 | 0 |
"""Plain-text adapter: reads .txt file(s) and yields paragraph-ish chunks.
This is the only adapter in the project, deliberately (DESIGN.md section 7): a
general-purpose interface is easiest to get right once it has been proven
against one real, working case rather than several imagined ones.
Run directly to see the ... | willnordnet/tiny-gpt-trainer | tinygpt/adapters/plain_text.py | .py | a4a7c8ae77d31ccb | 7 | 0 |
"""Model and training size presets.
Why a config module at all, rather than constants scattered across model.py and
train.py: the same handful of numbers (how wide, how deep, how long a context)
determine the shape of nearly every tensor in the project. Naming them in one
place means `model.py` can talk about `cfg.d_m... | willnordnet/tiny-gpt-trainer | tinygpt/config.py | .py | 3c847aed117ebf86 | 7 | 0 |
"""Turn a text source into token shards ready for training.
This is the last stage that knows anything about text. Everything after it
(model.py, train.py) sees only integer arrays.
Each split is written as one flat uint16 stream, not as pre-cut fixed-length
windows. Training windows are sliced out of that stream at ... | willnordnet/tiny-gpt-trainer | tinygpt/data/prepare.py | .py | 3efaaa60abf7550a | 7 | 0 |
"""Byte-level BPE tokenizer: load, encode, decode.
This file is the *runtime* side of the tokenizer. Training lives in
train_tokenizer.py, because training happens once and encoding happens
constantly, and separating them keeps this file short enough to read in one
sitting.
Why byte-level, starting from the 256 singl... | willnordnet/tiny-gpt-trainer | tinygpt/tokenizer/tokenizer.py | .py | 87be09174d974faf | 7 | 0 |
"""Train a byte-level BPE vocabulary from whatever an adapter yields.
Why train a tokenizer instead of importing a pretrained one (tiktoken, GPT-2's
vocab): doing it yourself is a large part of what this project is for, and a
tiny model genuinely wants a tiny vocabulary. At 4096 tokens the embedding
table is ~18% of t... | willnordnet/tiny-gpt-trainer | tinygpt/tokenizer/train_tokenizer.py | .py | 2e0f52fd9d74acb9 | 7 | 0 |
"""Look inside a saved checkpoint: next-token distributions and attention.
Everything here loads a checkpoint from disk rather than reaching into the
running trainer. That is a consequence of running training as a subprocess
(see web/runner.py): the weights being optimised live in another process, and
the only thing t... | willnordnet/tiny-gpt-trainer | web/introspect.py | .py | 45891433ae43c692 | 7.5 | 0 |
"""anyon.py —— 任意子统计类型判定（10.43/10.44）
δ = Cl(8) Majorana 8-循环置换：8-循环 = 7 个相邻对换；
单次对换携带 Ising（Majorana）交换相位 e^{±iπ/4}；
δ 净相位 = 7π/4 = -π/4；δ⁸ 净相位 = 14π ≡ 0 (mod 2π)，
与 Berry 相位 2π 一致 → 回路闭合无剩余相位。
判定：δ⁸ 回路携带 Ising 型（Majorana 型）任意子统计，
非 Fibonacci 型（Fibonacci 型要求非 Abelian 相位结构）。
"""
import numpy as np
# Cl(8) Majorana 8... | sdoygb/qec-geometry | qecgeo/anyon.py | .py | 22f224ea51920b61 | 7.15 | 1 |
"""qecgeo/closedform.py —— AG 完备码族闭式参数（几何论 10.27–10.36）
零电路、零模拟：由组合闭式直接给出码参数、失败率、损失标度、零损失边界。
定理引用：
- 码参数 [[2^m, k, 2^{r+1}]]: 10.30
- fail(w0) 引理 10.35.2.07
- kappa 引理 10.35.2.10
- loss(θ) 定理 10.35.1.07
- 零损失 定理 10.31.1.01
"""
from __future__ import annotations
import math
from math import comb
from... | sdoygb/qec-geometry | qecgeo/closedform.py | .py | badf5a7f2f751c8f | 7.15 | 1 |
"""pauli.py —— n 比特 Pauli 算符（qecgeo 几何码工具包）
表示：每比特类型 t_i ∈ {0=I, 1=X, 2=Z, 3=Y}，整体相位 ∈ {±1, ±i}。
单比特乘法表由 2×2 矩阵自动生成，避免手写错误。
"""
import numpy as np
# ---------- 单比特乘法表（自动生成） ----------
_I = np.eye(2, dtype=complex)
_X = np.array([[0, 1], [1, 0]], dtype=complex)
_Z = np.array([[1, 0], [0, -1]], dtype=complex)
_Y = 1j *... | sdoygb/qec-geometry | qecgeo/pauli.py | .py | 8ea5f61920650179 | 7.15 | 1 |
"""rm_decoder.py —— Reed-Muller 快速解码器（矩恢复，O(n·poly)，非查表）
量子 CSS(RM(r,m)) 的 X 错误解码 ≡ 经典码 RM(m-r-1,m) 的 syndrome 解码：
- syndrome = 错误支撑 A 与次数 ≤ r 单项式的点积（"矩"）
- 解码目标：从矩恢复最小权重错误 A（= syndrome 类的最小权重代表）
- 矩唯一性（260827 复核）：权重 ≤ (d−1)/2 = 2^r − ½ 的错误矩唯一（可纠
范围，理论保证）；更大权重在 m 小时碰撞（r=1 的 w=2 对所有 m 大量
碰撞——线性矩不足；r=2 且 m... | sdoygb/qec-geometry | qecgeo/rm_decoder.py | .py | e1b7b35cd7763635 | 7.15 | 1 |
"""rm_general_decoder.py —— 通用 Reed-Muller 矩解码器（r≥1，非查表）
理论：
量子 CSS(RM(r,m)) X 错误 A 的 syndrome = 次数 ≤ r 矩 m_I = Σ_{a∈A} x_I(a)。
矩唯一性（260827 复核修正）：权重 ≤ (d−1)/2 = 2^r − ½（整数 ≤ 2^r−1）的
错误矩唯一（可纠范围，理论保证）；更大权重在 m 小时出现碰撞
（如 (5,2) w=4 有 ~1% 碰撞，(4..8,1) w=2 大量碰撞）——超出码的纠错能力，
解码器对可纠范围内错误返回唯一解，超出后可能返回最小权重代表
（非真实 A）。10... | sdoygb/qec-geometry | qecgeo/rm_general_decoder.py | .py | a685a442dbcbc226 | 7.15 | 1 |
"""stabilizer.py —— 稳定子码框架（qecgeo 几何码工具包）
编码 |ψ_L⟩、syndrome 测量、解码（查表）、纠错、保真度、距离验证。
对应：10.27 命题 3.13–3.15（几何码构造，O5 程序复核）。
"""
import numpy as np
from itertools import product, combinations
from .pauli import Pauli
class StabilizerCode:
def __init__(self, name, gens, lx, lz):
self.name = name
self.... | sdoygb/qec-geometry | qecgeo/stabilizer.py | .py | 75586d46c2b6201c | 7.15 | 1 |
"""threshold.py —— 容错阈值闭式（10.44）
理论：单轮最优纠错下，逻辑错误率 p_L(p) ≈ A·p²（A = η·C(n,2)），
其中 η = 权重 2 错误被误恢复为逻辑算符的比例（全枚举精确计算）。
理想拼接阈值 p_th = 1/A（拼接不动点 p_{L+1} = A·p_L² = p_L ⟺ p = 1/A；
p_L = 1 的渐近点在 1/√A——括注 260827 修正）。
模块内容：
- weight2_errors(code) 全部非平凡权重 2 Pauli 错误
- analyze_eta(code) 精确枚举 η、A、p_th
- mo... | sdoygb/qec-geometry | qecgeo/threshold.py | .py | 8abd7af33ad21695 | 7.15 | 1 |
#!/usr/bin/env python3
"""ag_pL_sim.py —— AG 完备码 depolarizing 噪声 p_L 模拟（10.84 桥接验证）
零简并理论（10.30 定理 10.30.2.02/10.30.2.03）的物理噪声验证：
- r≥2 的 AG 完备码零简并 ⟹ 权重 ≤ d−1 = 2^r 的错误全部可恢复（查表无歧义）
- depolarizing 噪声下 p_L ≈ P(权重 ≥ d)（w<d 无逻辑、无简并、查表全恢复）
- 对照 r=1 AG（部分简并）与 r≥2 AG（零简并）
发现：AG(6,2) [[64,20,8]] / AG(8,3) [[256,70,16]] 零简并 +... | sdoygb/qec-geometry | scripts/ag_pL_sim.py | .py | a633696822ba5ca4 | 7.15 | 1 |
#!/usr/bin/env python3
"""ag_stim_memory.py —— AG 码 stim 多轮记忆电路 + 差分探测器 + 查表解码
stim 多轮电路（rounds=2 参考轮 + 差分探测器）基础设施：
- 数据 depolarize（轮间）+ 测量噪声（MR flip）标准模型
- 差分探测器正确（无噪声 dets 全零，已验证）
- 从 stim 差分提取稳定子（X_ERROR/Y_ERROR 注入）= 标准 RM 生成元（已验证）
- LookupDecoder 查表解码管线（p_L 输出）
已打通（验证）：
1. 多轮电路语义正确：rounds=2 差分，无噪声 dets 全零、obs 全 F... | sdoygb/qec-geometry | scripts/ag_stim_memory.py | .py | a6070a628eca2470 | 7.15 | 1 |
"""跨码多噪声扫描：surface code vs color code 的 A0/A1 几何诊断区分度
用法（在装有 stim+pymatching+chromobius 的环境）：
python scripts/benchmark_scan.py [--shots 10000] [--seed 42]
输出 benchmark 表：pL, cross_lift, total_dist_ratio, exc_ratio, cluster_ratio
"""
import argparse
import sys
import time
import numpy as np
sys.path.insert(0, ".... | sdoygb/qec-geometry | scripts/benchmark_scan.py | .py | 52d97811367b0e0f | 7.15 | 1 |
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