text stringlengths 185 73.3k | repo stringlengths 7 100 | path stringlengths 4 146 | language stringclasses 7
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"""
Tests for analyzer modules.
"""
import pytest
from unittest.mock import MagicMock, patch
from datetime import datetime, timezone
from src.analyzers.commit_analyzer import CommitAnalyzer
from src.analyzers.work_habit_analyzer import WorkHabitAnalyzer
from src.analyzers.code_quality_analyzer import CodeQualityAnaly... | ProjectZeroDays/FreeAI_AI-Inference-Workstation | .agents/skills/code-analysis/tests/test_analyzers.py | .py | c939f2e686db1462 | 7.74 | 2 |
"""
Tests for the repository scanner.
"""
import os
import tempfile
import pytest
from unittest.mock import patch, MagicMock
from src.scanner import RepoScanner
class TestRepoScanner:
"""Tests for RepoScanner class."""
def test_scan_single_valid_repo(self, tmp_path):
"""Test scanning a valid Git re... | ProjectZeroDays/FreeAI_AI-Inference-Workstation | .agents/skills/code-analysis/tests/test_scanner.py | .py | deae14f6f8a92f79 | 7.74 | 2 |
"""
Desktop Control - Advanced Mouse, Keyboard, and Screen Automation
The best ever possible responsive desktop control for OpenClaw
"""
import pyautogui
import time
import sys
from typing import Tuple, Optional, List, Union
from pathlib import Path
import logging
# Configure PyAutoGUI
pyautogui.MINIMUM_DURATION = 0 ... | ProjectZeroDays/FreeAI_AI-Inference-Workstation | .agents/skills/desktop-control/__init__.py | .py | db927d6a121ec770 | 7.24 | 2 |
"""
Desktop Control Demo - Quick examples and tests
"""
import sys
import time
from pathlib import Path
# Add skills to path
sys.path.insert(0, str(Path(__file__).parent))
from desktop_control import DesktopController
def demo_mouse_control():
"""Demo: Mouse movement and clicking"""
print("\n🖱️ === MOUSE ... | ProjectZeroDays/FreeAI_AI-Inference-Workstation | .agents/skills/desktop-control/demo.py | .py | 3ac6a0218ad10657 | 7.24 | 2 |
import os
import time
from logging.config import fileConfig
from alembic import context
from alembic.operations import ops
from dotenv import load_dotenv
from sqlalchemy import engine_from_config, pool
from app.core.base_model import Base
from app.core.models import * # noqa
target_metadata = Base.metadata
# Load e... | rajath-raman/potpie | app/alembic/env.py | .py | ce357be97ff37062 | 7 | 0 |
"""Initial migration
Revision ID: 20240812184546_6d16b920a3ec
Revises:
Create Date: 2024-08-12 18:45:46.599604
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision: str = "20240812184546_6d... | rajath-raman/potpie | app/alembic/versions/20240812184546_6d16b920a3ec_initial_migration.py | .py | d494be98ff0c3128 | 7 | 0 |
"""Adding support for projects
Revision ID: 20240812190934_5ceb460ac3ef
Revises: 20240812184546_6d16b920a3ec
Create Date: 2024-08-12 19:09:34.063355
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alemb... | rajath-raman/potpie | app/alembic/versions/20240812190934_5ceb460ac3ef_adding_support_for_projects.py | .py | fd2fb06506a5cf7c | 7 | 0 |
"""UTC Timestamps and Indexing
Revision ID: 20240812211350_bcc569077106
Revises: 20240812190934_5ceb460ac3ef
Create Date: 2024-08-12 21:13:50.136975
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alemb... | rajath-raman/potpie | app/alembic/versions/20240812211350_bcc569077106_utc_timestamps_and_indexing.py | .py | c8c324da127d15e1 | 7 | 0 |
"""Add ON DELETE CASCADE to Message.conversation_id
Revision ID: 20240813145447_56e7763c7d20
Revises: 20240812211350_bcc569077106
Create Date: 2024-08-13 14:54:47.718210
"""
from typing import Sequence, Union
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "20240813145447_56e7763c7d... | rajath-raman/potpie | app/alembic/versions/20240813145447_56e7763c7d20_add_on_delete_cascade_to_message_.py | .py | 6a31051a0b678a17 | 7 | 0 |
"""search index
Revision ID: 20240826215938_3c7be0985b17
Revises: 20240823164559_05069444feee
Create Date: 2024-08-26 21:59:38.638095
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "20240826215938_3c7be0985b17"
down_rev... | rajath-raman/potpie | app/alembic/versions/20240826215938_3c7be0985b17_search_index.py | .py | 3fbaa6008539fec1 | 7 | 0 |
"""Add agent id support in conversation table
Revision ID: 20240828094302_48240c0ce09e
Revises: 20240826215938_3c7be0985b17
Create Date: 2024-08-28 09:43:02.922148
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "2024082... | rajath-raman/potpie | app/alembic/versions/20240828094302_48240c0ce09e_add_agent_id_support_in_conversation_.py | .py | 905edb617ce61ef3 | 7 | 0 |
"""Prompt Tables
Revision ID: 20240902105155_6b44dc81d95d
Revises: 20240828094302_48240c0ce09e
Create Date: 2024-09-02 10:51:55.205130
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "20240902105155_6b44dc81d95d"
down_re... | rajath-raman/potpie | app/alembic/versions/20240902105155_6b44dc81d95d_prompt_tables.py | .py | 190047b1057ef53b | 7 | 0 |
"""Add user preferences table
Revision ID: 20240905144257_342902c88262
Revises: 20240902105155_6b44dc81d95d
Create Date: 2024-09-05 14:42:57.885405
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "20240905144257_342902c8... | rajath-raman/potpie | app/alembic/versions/20240905144257_342902c88262_add_user_preferences_table.py | .py | 4a0495a8cd28b358 | 7 | 0 |
"""Support for citations in backend
Revision ID: 20240927094023_fb0b353e69d0
Revises: 20240905144257_342902c88262
Create Date: 2024-09-27 09:40:23.874379
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "20240927094023_fb... | rajath-raman/potpie | app/alembic/versions/20240927094023_fb0b353e69d0_support_for_citations_in_backend.py | .py | cc25f548318d89fb | 7 | 0 |
"""add shared with email to the conversation model
Revision ID: 20241003153813_827623103002
Revises: 20240927094023_fb0b353e69d0
Create Date: 2024-10-03 15:38:13.436502
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "20... | rajath-raman/potpie | app/alembic/versions/20241003153813_827623103002_add_shared_with_email_to_the_.py | .py | bb3af63c2a60ab03 | 7 | 0 |
"""New migration
Revision ID: 20241028204107_684a330f9e9f
Revises: 20241003153813_827623103002
Create Date: 2024-10-28 20:41:07.469748
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "20241028204107_684a330f9e9f"
down_re... | rajath-raman/potpie | app/alembic/versions/20241028204107_684a330f9e9f_new_migration.py | .py | 2ab1e020fbb998b6 | 7 | 0 |
"""Support for repo path
Revision ID: 20241127095409_625f792419e7
Revises: 20241028204107_684a330f9e9f
Create Date: 2024-11-27 09:54:09.683918
"""
from typing import Sequence, Union
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "20241127095409_625f792419e7"
down_revision: Union[st... | rajath-raman/potpie | app/alembic/versions/20241127095409_625f792419e7_support_for_repo_path.py | .py | a7d3a386b9271d88 | 7 | 0 |
import hashlib
import os
import secrets
from typing import Optional
from fastapi import HTTPException
from google.cloud import secretmanager
from sqlalchemy import text
from sqlalchemy.orm import Session
from app.modules.users.user_preferences_model import UserPreferences
class APIKeyService:
SECRET_PREFIX = "s... | rajath-raman/potpie | app/modules/auth/api_key_service.py | .py | 30696534828c3a17 | 7 | 0 |
from typing import List
from fastapi import HTTPException
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session
from app.modules.conversations.conversation.conversation_model import (
Conversation,
Visibility,
)
class ShareChatServiceError(Exception):
"""Base exception class for S... | rajath-raman/potpie | app/modules/conversations/access/access_service.py | .py | fd4d80f307cf7eff | 7 | 0 |
"""Styled per-module runtime-breakdown chart for the baseline sweep.
The baseline figure: one stacked bar per compute block, its runtime split into
compute / overlap / memory / stall, each scaled by the block's whole-model
repeat count. Styled like the hand-built reference
(``baseline_prefill_chart_updated.xlsx``): l... | jeffreyyu0602/voyager-compiler | benchmarks/per_module_latency_chart.py | .py | 8636cefd47bae1e8 | 7.39 | 5 |
"""Plot the model-size sweep against parameter count, not the model's name.
``plot_results_mpl`` draws the sweep the way the workbook does: five bars over
the labels 1B / 3B / 7B / 8B / 13B, evenly spaced, which says nothing about how
far apart those designs actually are. This plots the same two metrics --
latency an... | jeffreyyu0602/voyager-compiler | benchmarks/plot_model_size_scaling.py | .py | 688c6f62b5898a49 | 7.39 | 5 |
"""Unified design-space sweep: every axis in one run, one aggregate workbook.
Replaces the individual ``sweep_context / sweep_model_size / sweep_quant /
sweep_family / sweep_hardware`` scripts. All of them radiate from the same
baseline design point (Llama-3.1-8B, 64x64 PE, 2 MB SRAM, W8A8, length 1024),
so run separ... | jeffreyyu0602/voyager-compiler | benchmarks/runner.py | .py | 2c63204a4cb775b3 | 7.39 | 5 |
import argparse
import copy
import hashlib
import logging
import os
import random
import re
from random import randint
import evaluate
import librosa
import numpy as np
import torch
import torch.nn as nn
import torch.ao.nn.intrinsic as nni
from datasets import DatasetDict, Dataset, load_dataset
from scipy.fftpack impo... | jeffreyyu0602/voyager-compiler | examples/audio_classification/honk_train.py | .py | 1078f26e5dfbd6a9 | 7.39 | 5 |
from collections import deque
class Cache(object):
"""
Helper class for cache computed values to reduce runtime
"""
def __init__(self, num_levels, size):
self.num_levels = num_levels
self.cache_map = [dict() for x in range(num_levels)]
self.cache_queue = [deque() for i in rang... | jeffreyyu0602/voyager-compiler | src/interstellar/cache.py | .py | 0b216530c7a7e7a2 | 7.39 | 5 |
"""
Layer specification.
"""
class Layer(object):
"""
NN layer parameters.
nifm: ifmap channels.
nofm: ofmap channels.
wifm: ifmap width.
hifm: ifmap height.
wofm: ofmap width.
hofm: ofmap height.
wfil: weight filter width.
hfil: weight filter height.
nimg: input images (b... | jeffreyyu0602/voyager-compiler | src/interstellar/layer.py | .py | adfee9ff7d7ef240 | 7.39 | 5 |
"""
Top level function of optimization framework
"""
import logging
from . import mapping_point_generator
from . import cost_model
from . import loop_enum as le
from . import buffer_enum as be
logger = logging.getLogger(__name__)
def opt_optimizer(
resource,
layer,
hint=None,
runtime_calc_func=Non... | jeffreyyu0602/voyager-compiler | src/interstellar/optimizer.py | .py | cc90fb33a6e16d6b | 7.39 | 5 |
"""
Schedule hint
"""
from . import loop_enum as le
class Schedule(object):
"""
schedule_hint: {loop index:[[loop order,loop blocking,loop partitioning @ 1st level mem],[@ 2nd level mem],[3rd .]]}
loop blocking -> temporal loop size
loop partitioning -> spatial loop size (spatial unroll... | jeffreyyu0602/voyager-compiler | src/interstellar/schedule.py | .py | 27aaa45e7be9943b | 7.39 | 5 |
"""Collapse a ``while_loop``'s steady-state iterations.
After scheduling, a software-pipelined loop's middle iterations become
structurally identical: the same events with the same durations and the same
intra-iteration offsets, differing only in absolute time. Only the fill
(prologue) and drain (epilogue) iterations... | jeffreyyu0602/voyager-compiler | src/voyager_compiler/codegen/reporting/compress.py | .py | e2b15499a17a53d4 | 7.39 | 5 |
"""The recursive scheduler: walk a bufferized FX graph and emit timing.
A lightweight interpreter (modeled on ``shape_prop.ShapeProp``'s node loop, but
specialized) keeps an ``env`` of concrete **scalar** values and evaluates only
the scalar / control sublanguage — index math, predicates, counters — which is
all that ... | jeffreyyu0602/voyager-compiler | src/voyager_compiler/codegen/reporting/interpret.py | .py | 0a2dd01617a69303 | 7.39 | 5 |
"""Data structures shared across the reporting stages.
The estimator runs three separate stages over a bufferized FX graph:
scheduling (``interpret`` + ``scheduler``), repeated-pattern compression
(``compress``), and reporting (``excel`` / ``perfetto``). These dataclasses are
the contract between them.
"""
import ma... | jeffreyyu0602/voyager-compiler | src/voyager_compiler/codegen/reporting/model.py | .py | 9b0dfbe9f1852649 | 7.39 | 5 |
"""Chrome / Perfetto trace export (``chrome://tracing`` JSON).
Emits the full, uncompressed event stream so the exact schedule can be
inspected: compute split onto a Matrix (systolic array) and a Vector
(vector unit) track, the DRAM interface on another, control (waits) on a
third. A fused pass that runs vector ops a... | jeffreyyu0602/voyager-compiler | src/voyager_compiler/codegen/reporting/perfetto.py | .py | 68de9b4490eab391 | 7.39 | 5 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Figure 2, reproduced in the supplement as Figure S10.
Per-sample imputation accuracy of a cohort-specific model against the model
trained on the whole admixed LOS cohort, for the African American and Caucasian
cohorts of chromosome 22 at three masking rates.
Each coho... | learnslowly/BiU-Net | Results/Figure_S10.py | .py | ea51dccd771585e6 | 7 | 0 |
import pandas as pd
import numpy as np
# horizontally split version
def calculate_maf(df):
"""
Calculate Minor Allele Frequency (MAF ≤ 0.5) for each row (SNP) in a genotype dataframe,
where rows are SNPs and columns are samples. Genotype encoding:
1 = A|A (0 minor alleles), 2 = A|a (1 minor allele), 3 ... | learnslowly/BiU-Net | data/metrics.py | .py | dd67e8e59c90f391 | 7 | 0 |
import re
import numpy as np
import os
import pandas as pd
from typing import List, Tuple, Optional
from data.metrics import calculate_maf
import h5py
from config.modelconfig import ModelConfig
def prepare_target_snps(config: ModelConfig, bin_range: str):
print("Calculating MAF from complete training set...")
... | learnslowly/BiU-Net | data/segmentation.py | .py | 984a827d40f3e0e4 | 7 | 0 |
"""Locate benchmark cell CSVs under analysis/, across their filename spellings.
benchmark.py tags our own model's cells with the checkpoint epoch
(`{runId}_epoch{E}_phased_...`). Cells written before 2026-08-24, and every
external-imputer cell, carry the plain `{runId}_phased_...` name. A run also
wrote its cells unde... | learnslowly/BiU-Net | scripts/analysis_cells.py | .py | e4367cb000fe9d75 | 7 | 0 |
"""Classify the target markers Beagle drops when a reference panel is supplied.
Beagle 5.5 keeps a target VCF record only when the reference stream holds a
marker for which Marker.equals() is true (vcf/RefTargSlidingWindow.readWindow,
vcf/Marker.equals): same chromosome, same position, same allele list, same
INFO/END.... | learnslowly/BiU-Net | scripts/beagle_excluded_markers.py | .py | 0088c4be3be64443 | 7 | 0 |
"""Aggregate revision-2 genome-wide benchmark results into summary tables.
Reads the per-cell CSVs benchmark.py writes to analysis/:
1KGP_genomewide_phased_{biunet|beagle}_BAT_rand{RS}_1KGP_chr{C}_ALL_seg1024_overlap128_missing{M}.csv
(columns: MAF_bin, Num_SNPs, Bin_Acc, Bin_R2, Bin_Precision, Bin_Recall, Bin_F1,... | learnslowly/BiU-Net | scripts/build_per_chromosome_tables.py | .py | eea29f025abdf6d1 | 7 | 0 |
#!/usr/bin/env python3
"""Generate the uniform job/*.batch set for the 7 reported datasets.
Every batch: sources configs/credentials.sh, calls $PYBIN, writes to logs/%x_%j.log,
and omits private SLURM directives (--account/--mail-user) — those are injected by
./submit.sh. Re-run any time to regenerate.
"""
import os
... | learnslowly/BiU-Net | scripts/gen_job_batches.py | .py | cd5850e51b0d2fac | 7 | 0 |
"""Write the per-chromosome fine-tuning configs for both datasets.
The genome-wide model trained on merged reference and target data is fine-tuned
on one chromosome at a time for 30 epochs. Everything except the chromosome
restriction is inherited from the anchor config that was already run and
reported (chr22 for 1KG... | learnslowly/BiU-Net | scripts/make_finetune_configs.py | .py | e17d0c1bfd24bad3 | 7 | 0 |
"""Seed a fine-tuning run with the weights of the genome-wide model.
train.py resumes from the newest checkpoint whose name matches the run it is
about to perform, and a run's name is built from its own runId. A fine-tuning
run therefore never sees the genome-wide checkpoint: the two carry different
runIds, the glob f... | learnslowly/BiU-Net | scripts/prebake_finetune_checkpoint.py | .py | c45943dfb29d4abc | 7 | 0 |
import multiprocessing
import time
import pandas as pd
import h5py
import numpy as np
import os
import glob
from typing import Tuple, List, Optional, Dict
from functools import partial
from concurrent.futures import ProcessPoolExecutor
import argparse
import re
from config.modelconfig import ModelConfig
from data.segme... | learnslowly/BiU-Net | segmenting.py | .py | 863906ab9cb431e8 | 7 | 0 |
"""cron 任务的确定性北京时间计划计算。"""
from __future__ import annotations
from datetime import datetime, timedelta, timezone
from typing import Any
from zoneinfo import ZoneInfo
from run.scheduler import CronValidationError
BEIJING = ZoneInfo("Asia/Shanghai")
def _as_beijing(value: datetime | None = None) -> datetime:
i... | kesepain-KE/kemo-agent | cron/schedule.py | .py | 9923d245de686536 | 7.39 | 5 |
"""kemo-agent Web API 的带会话代理客户端。"""
from __future__ import annotations
import asyncio
import os
from contextlib import asynccontextmanager
from typing import Any, AsyncIterator
from urllib.parse import urlsplit
import httpx
_DEFAULT_UPSTREAM = "http://127.0.0.1:1357"
_RUNTIME_WEB_ENDPOINT_ENV = "KEMO_AGENT_WEB_BAS... | kesepain-KE/kemo-agent | global_expand/kemo_app/upstream.py | .py | 9f8dfc876f65b684 | 7.39 | 5 |
"""Response-safe errors for the Kemo Graph sidecar extension."""
from __future__ import annotations
class GraphExpandError(RuntimeError):
"""A validation or local operation error safe to return to the caller."""
class GraphAPIError(GraphExpandError):
def __init__(self, status: int, code: str, message: str)... | kesepain-KE/kemo-agent | global_expand/kemo_graph/errors.py | .py | c221002a66802463 | 7.39 | 5 |
"""Resolved URLs and credentials for ``tokensaver route``."""
from __future__ import annotations
import os
from dataclasses import dataclass
from urllib.parse import urlparse
PROD_API_HOST = "https://api.tokensaver.fr"
PROD_MCP_URL = "https://mcp.tokensaver.fr/mcp"
PROD_GATEWAY_URL = "https://gateway.tokensaver.fr/m... | tokensaver-ai/tokensaver-cli | src/tokensaver_cli/config.py | .py | d652553a4360d59a | 7 | 0 |
"""Install the bundled Claude Code plugin into ``~/.claude/skills/``."""
from __future__ import annotations
import shutil
from importlib import resources
from pathlib import Path
PLUGIN_SKILL_NAME = "tokensaver-router"
def plugin_install_dir() -> Path:
return Path.home() / ".claude" / "skills" / PLUGIN_SKILL_... | tokensaver-ai/tokensaver-cli | src/tokensaver_cli/plugin_install.py | .py | cca484b7bc5ea4e1 | 7 | 0 |
"""Model profiles for ``tokensaver route claude --profile``."""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any
from tokensaver_cli.state import route_state_dir
# Paid / BYOK defaults (catalogue provider/model_id).
BUILTIN_PROFILES: dict[str, str] = {
"cheap": "ope... | tokensaver-ai/tokensaver-cli | src/tokensaver_cli/profiles.py | .py | e276cd4adc42b994 | 7 | 0 |
"""Banner tests."""
from tokensaver_cli.banner import banner_enabled, print_banner
def test_banner_enabled_default(monkeypatch) -> None:
monkeypatch.delenv("TOKENSAVER_NO_BANNER", raising=False)
assert banner_enabled() is True
def test_banner_disabled(monkeypatch) -> None:
monkeypatch.setenv("TOKENSAVE... | tokensaver-ai/tokensaver-cli | tests/test_banner.py | .py | 116cb95e5277ce3b | 7.5 | 0 |
import requests
import base64
import logging
import re
import socket
import os
# Logging configuration
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
# URL for fetching configurations
URL = "https://raw.githubusercontent.com/3... | 3yed-61/Shadowsocks | config-cleaner.py | .py | 1a2b7b3a08afa713 | 7 | 0 |
#!/usr/bin/env python3
"""
Cross-host comparison — merges per-host runs into a single side-by-side
table and figures.
Reads every host under results/:
- prefers results/<host>/results.json + capabilities.json (rich), else
- parses the embedded JSON summary inside a final_report.md (so a single
report file from... | balkeumlabs/Cap-over-TFLOPS | compare.py | .py | 6c0d8efad6dd8996 | 7 | 0 |
"""
E1 - Capacity over TFLOPS (headline result).
Demonstrates the study's central claim on a single machine:
(a) the INT4 model's serving state loads into SYSTEM RAM and occupies a
measured, stable footprint with ample headroom; while
(b) the same weights CANNOT fit in the detected consumer GPU's VRAM -> an
... | balkeumlabs/Cap-over-TFLOPS | src/experiments/e1_capacity.py | .py | 047f7d679e14a2bc | 7 | 0 |
"""
E4 - Communication efficiency (analytical, no model download required).
Quantifies the bandwidth claim: federated nodes share only the LoRA adapters
(q_proj, v_proj) instead of full parameter sets. We compute exact
adapter parameter counts from the Gemma-2 architecture and compare against the
full model, for LoRA ... | balkeumlabs/Cap-over-TFLOPS | src/experiments/e4_comms.py | .py | 826b76bc5ab761ce | 7 | 0 |
#!/usr/bin/env python3
"""
Model fetcher — downloads ungated community GGUF files (no HF token needed).
Open Gemma-2 stand-ins for MedGemma. Files come from community GGUF repos that
do NOT require license acceptance, so downloads work unauthenticated.
python src/fetch_models.py --tier edge # ~1.7 GB, validat... | balkeumlabs/Cap-over-TFLOPS | src/fetch_models.py | .py | ea07d3fb02d1f3db | 7 | 0 |
import base64
from pathlib import Path
from typing import Optional
import pytest
import requests
class TestConfig:
BASE_URL = 'http://localhost:8000'
TEST_REQUEST_ID = 'test_request_001'
# Validation constants
REQUIRED_TECHNICAL_INDICATORS = {'macd', 'rsi', 'mfi', 'stochastic', 'volume', 'current_price', '... | rajath-raman/pixeltable | docs/sample-apps/ai-based-trading-insight-chrome-extension/tests/test.py | .py | 0aa941a87f4128c0 | 7.5 | 0 |
from datetime import datetime
import discord
class MessageFormatter:
"""Helper class for consistent Discord message formatting"""
# Discord color constants
BLUE = discord.Color.blue()
GREEN = discord.Color.green()
RED = discord.Color.red()
@staticmethod
def create_search_embed(results: ... | rajath-raman/pixeltable | docs/sample-apps/context-aware-discord-bot/message_formatter.py | .py | 36bf660f75518e57 | 7 | 0 |
"""
JFK Files Data Loader Tutorial
=============================
This script demonstrates how to build a semantic search system for JFK document files using Pixeltable.
It shows how to:
1. Set up a Pixeltable table with computed columns for document summaries
2. Scrape PDF links from the National Archives website
3. G... | rajath-raman/pixeltable | docs/sample-apps/jfk-files-mcp-server/load_data.py | .py | 12902a1c237343f6 | 7 | 0 |
# This is a MCP-based server that provides an interface to query JFK files using SSE (Server-Sent Events)
# It demonstrates how to set up a real-time communication channel between the client and server
import argparse
import uvicorn
from initialize import mcp
from mcp.server import Server
from mcp.server.sse import S... | rajath-raman/pixeltable | docs/sample-apps/jfk-files-mcp-server/server.py | .py | 963f125251a84323 | 7 | 0 |
from typing import Dict, List, Optional
import yfinance as yf
from duckduckgo_search import DDGS
import pixeltable as pxt
@pxt.udf()
def run_duckduckgo_search(query: str, max_results: int = 5) -> List[Dict] | None:
"""Performs a DuckDuckGo search and returns results as a list of dicts."""
# print(f"Performi... | rajath-raman/pixeltable | docs/sample-apps/reddit-agentic-bot/functions.py | .py | 96675d4647088c5c | 7 | 0 |
from __future__ import annotations
import logging
import warnings
from textwrap import dedent
from typing import TYPE_CHECKING, Any
import sqlalchemy as sql
import pixeltable.exceptions as excs
import pixeltable.exprs as exprs
import pixeltable.type_system as ts
from pixeltable.env import Env
from pixeltable.metadat... | rajath-raman/pixeltable | pixeltable/catalog/column.py | .py | c6fd9224b82d400c | 7 | 0 |
from __future__ import annotations
import dataclasses
import json
import logging
from uuid import UUID
import sqlalchemy as sql
from pixeltable.env import Env
from pixeltable.metadata import schema
from .schema_object import SchemaObject
_logger = logging.getLogger('pixeltable')
class Dir(SchemaObject):
def ... | rajath-raman/pixeltable | pixeltable/catalog/dir.py | .py | 5584ec70f94a47a5 | 7 | 0 |
from __future__ import annotations
import json
import logging
from uuid import UUID
import sqlalchemy as sql
from pixeltable.env import Env
from pixeltable.metadata import schema
from .schema_object import SchemaObject
_logger = logging.getLogger('pixeltable')
class NamedFunction(SchemaObject):
"""
Conta... | rajath-raman/pixeltable | pixeltable/catalog/named_function.py | .py | bd9fa3ecfe07ba05 | 7 | 0 |
from abc import abstractmethod
from typing import TYPE_CHECKING
from uuid import UUID
if TYPE_CHECKING:
from pixeltable import catalog
class SchemaObject:
"""
Base class of all addressable objects within a Db.
Each object has an id, a name and a parent directory.
"""
_id: UUID
_name: str... | rajath-raman/pixeltable | pixeltable/catalog/schema_object.py | .py | 5f36b1fec1a9bc7c | 7 | 0 |
from __future__ import annotations
import logging
from dataclasses import dataclass
from typing import TYPE_CHECKING
from uuid import UUID
from pixeltable import exceptions as excs
from .table_version import TableVersion
if TYPE_CHECKING:
from pixeltable.catalog import Column
_logger = logging.getLogger('pixel... | rajath-raman/pixeltable | pixeltable/catalog/table_version_handle.py | .py | 28fdfe0271cff4b0 | 7 | 0 |
from __future__ import annotations
import logging
from uuid import UUID
from pixeltable.env import Env
from pixeltable.metadata import schema
from .column import Column
from .globals import MediaValidation
from .table_version import TableVersion
from .table_version_handle import TableVersionHandle
_logger = logging... | rajath-raman/pixeltable | pixeltable/catalog/table_version_path.py | .py | fe299989e5d80eb1 | 7 | 0 |
"""版本号更新脚本。
用法:
python scripts/bump_version.py <major|minor|patch|版本号> [--commit] [--dry-run]
- 以 pyproject.toml 的 [project].version 为唯一事实来源，同步 src/oce/__init__.py 的 __version__。
- 采用行级替换而非完整 TOML 重写，避免破坏 pyproject.toml 中的注释。
"""
from __future__ import annotations
import argparse
import re
import subprocess
imp... | oce-ai/oce | scripts/bump_version.py | .py | 0701d0e368ba0681 | 7.24 | 2 |
"""add_symbol_occurrences_table
Revision ID: 2eebb4028c7f
Revises: d48cee59fb24
Create Date: 2026-08-20 18:14:59.710515
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision: str = '2eebb4028c7f'
down_revision: Union[str, None] = 'd4... | oce-ai/oce | src/oce/alembic/versions/2eebb4028c7f_add_symbol_occurrences_table.py | .py | 7bd217d696033cb2 | 7.24 | 2 |
"""应用层消息总线 - CommandBus / QueryBus
简单注册分发：消息类型 → handler 的 dict 映射。
- CommandBus.execute: 执行写命令（可批量）
- QueryBus.ask: 执行读查询
未注册的消息抛 ApplicationError 系异常（COMMAND_NOT_REGISTERED /
QUERY_NOT_REGISTERED），由 API 层统一转 HTTP 500。
"""
from __future__ import annotations
from typing import Any
from oce.shared.errors impor... | oce-ai/oce | src/oce/application/bus.py | .py | 3c50f75ae6fc616a | 7.24 | 2 |
"""Embedding credential runtime commands."""
from __future__ import annotations
from dataclasses import dataclass
from typing import Protocol
from oce.application.messages import Command
from oce.shared.errors import ServiceNotReadyError
class ReloadableEmbeddingRuntime(Protocol):
async def reload(self) -> int... | oce-ai/oce | src/oce/application/commands/credentials.py | .py | 2797e4f4cbca50e5 | 7.24 | 2 |
"""队列运维命令：对齐队列与 DB 待办，或整体清空。
队列是 DB 待办的投影，不是权威。两者会漂移：blob 被删除或重建后旧消息仍在飞，
worker 取到只能白跑；更糟的是 pending 哨兵里的残留会让同名 blob 再也无法入队。
`ResetQueueCommand` 提供两档处置：
- mode="sync"（默认）：以 DB 的 pending blob 为准剔除队列里的无效项，并补投漏投项
- mode="purge"：清空队列再按 DB 全量重投
两者都要求 worker 已停；handler 不会替调用方停 worker，因为 worker 生命周期
由 composition root 持有。
"... | oce-ai/oce | src/oce/application/commands/queue_admin.py | .py | 526fbb4eef86b1d1 | 7.24 | 2 |
"""应用层消息 - Command / Query 标记基类
CQRS 约定：
- Command（命令）：写操作，改变系统状态，经 CommandBus.execute 分发
- Query（查询）：读操作，不改变状态，经 QueryBus.ask 分发
具体消息一律用 frozen dataclass 定义（不可变，天然线程安全），
handler 以 Protocol 约束，由应用层组装（composition root）注册。
"""
from __future__ import annotations
from typing import Any, Protocol
class Command:
""... | oce-ai/oce | src/oce/application/messages.py | .py | 6d59727a2dcbf39d | 7.24 | 2 |
"""查询对象与处理器 - 检索读路径
SearchQuery: 一次代码检索（向量召回 + 精确标识符召回 + 重排 + 覆盖度选择）。
"""
from __future__ import annotations
from dataclasses import dataclass, field
from oce.application.messages import Query
from oce.domain.services.retrieval import RetrievalPipeline
from oce.domain.services.search import SearchHit
@dataclass(f... | oce-ai/oce | src/oce/application/queries/search.py | .py | 3a54d979d4fd2fe5 | 7.24 | 2 |
"""HTTP Bearer 鉴权。"""
import hmac
from fastapi import Header, HTTPException
from oce.shared.config import get_settings
def _unauthorized(message: str) -> HTTPException:
return HTTPException(
status_code=401,
detail={
"error": {
"message": message,
"ty... | oce-ai/oce | src/oce/auth.py | .py | 1f3ba6bcc8560a87 | 7.24 | 2 |
"""Command-line entry points for the local OCE distribution."""
from __future__ import annotations
import argparse
import os
import sys
from pathlib import Path
from dotenv import load_dotenv
from oce import __version__
_DEFAULT_DATA_DIR = Path.home() / ".oce" / "data"
# -v 次数 → loguru / uvicorn 级别；默认 WARNING 避免... | oce-ai/oce | src/oce/cli.py | .py | 1e765119fd1f830f | 7.24 | 2 |
"""Blob 聚合根 - 文件抽象
Blob 是文件的领域抽象，职责：
- 管理文件元数据（path/status/last_seen）
- 管理关联的 Chunk 列表
- 状态转换（pending -> ready/error）
- 过期判定
不变量：
- blob_name 必须是有效的 SHA256
- status 状态机：pending -> ready/error
- 空文本或二进制文件可以没有 chunk 并直接标记 ready
"""
from __future__ import annotations
from dataclasses import dataclass, field
from datet... | oce-ai/oce | src/oce/domain/blob/blob.py | .py | cd9baa7112fed259 | 7.24 | 2 |
"""Chain 聚合根 - 工作集抽象
Chain 是客户端工作集的领域抽象，职责：
- 管理 Blob 成员列表
- 实现 Checkpoint 版本控制
- 支持增量更新（added/deleted）
不变量：
- chain_id 必须是有效的 UUID
- version 必须单调递增
- members 集合去重
"""
from __future__ import annotations
import uuid
from dataclasses import dataclass, field
from datetime import datetime, timezone
@dataclass
class C... | oce-ai/oce | src/oce/domain/chain/chain.py | .py | e3a4dc90e9e16cd2 | 7.24 | 2 |
"""Code chunking protocols."""
from __future__ import annotations
from typing import Protocol, runtime_checkable
from oce.domain.chunk.types import Chunk
@runtime_checkable
class Chunker(Protocol):
"""Minimum interface consumed by the indexing pipeline."""
def chunk(self, content: str, path: str) -> list[... | oce-ai/oce | src/oce/domain/chunk/protocols.py | .py | c7f26ae602fd76d5 | 7.24 | 2 |
"""RecursiveChunker — 基于 LangChain RecursiveCharacterTextSplitter 的智能兜底切块器。
用于：
1. 无法识别语言的文件（无扩展名、未知格式）
2. 各专用 chunker 的 fallback（当 AST 解析失败时）
相比 FixedChunker 的优势：
- 递归尝试分隔符：优先在段落边界（\n\n）切分，其次行边界（\n），最后空格和字符
- 语言感知：支持 Python/JS/Go/Rust 等语言的特定分隔符
The splitter decides where boundaries fall; the text of a chunk is alwa... | oce-ai/oce | src/oce/domain/chunk/recursive_chunker.py | .py | 1a62f113cfb677d3 | 7.24 | 2 |
"""Language-aware chunker dispatch."""
from __future__ import annotations
from collections.abc import Iterable
from types import MappingProxyType
from typing import Mapping
from oce.domain.chunk.lang import SUPPORTED_LANGUAGES, detect_language
from oce.domain.chunk.protocols import Chunker, LanguageChunker
from oce.... | oce-ai/oce | src/oce/domain/chunk/router.py | .py | d001060fda3a3ced | 7.24 | 2 |
"""Line-span helpers shared by the chunkers.
A span is a 1-based inclusive line range paired with the exact text of those
lines. Keeping text and range in one value makes the invariant checkable: a
chunk must render at the line numbers it claims, because the formatter prints
``start_line + offset`` for each of its lin... | oce-ai/oce | src/oce/domain/chunk/spans.py | .py | 805cd5e7b0d642e1 | 7.24 | 2 |
"""统一的 LLM 客户端协议。
三个 LLM 消费者（reranker / rewriter / intent classifier）共享同一个 chat 协议。
此前该协议在 llm_reranker 与 query_rewriter 中各定义一份，此处收敛为单一来源，
避免重复。基础设施层的 OpenAI 兼容客户端实现它。
"""
from __future__ import annotations
from typing import Protocol
class LLMClient(Protocol):
"""LLM 聊天客户端协议。
额外参数（model / temperature / ma... | oce-ai/oce | src/oce/domain/services/llm/client.py | .py | b8ba2e070ecaa43e | 7.24 | 2 |
"""Fetching the attachments themselves, so a text one is greppable like any other file.
Lark never reports an attachment's size until it has been downloaded -- the message body
carries only a key and a filename -- so the size limit is enforced after the fact and the
kind whitelist is what actually bounds the request c... | CNSeniorious000/lark-fs | src/lark_fs/attachments.py | .py | 7764e27e3e514f58 | 7.15 | 1 |
"""Thin async wrapper around the `lark-cli` binary."""
from asyncio import CancelledError, Semaphore, create_subprocess_exec, create_task, gather, shield, sleep, subprocess
from collections import defaultdict, deque
from collections.abc import Awaitable, Callable, Collection
from contextlib import suppress
from contex... | CNSeniorious000/lark-fs | src/lark_fs/cli.py | .py | 2a52a5fe9d999aa2 | 7.15 | 1 |
"""Keep the mirror fresh in the background.
Feishu offers no update feed a personal account can consume -- the event bus is
bot-scoped and exclusive, and one connection is typically already claimed by another
tool. So this polls, but pays for freshness only where it is cheap:
- messages: forward from the cursor every... | CNSeniorious000/lark-fs | src/lark_fs/daemon.py | .py | 81c11e4f78655018 | 7.15 | 1 |
"""lark-fs CLI entrypoint."""
from argparse import ArgumentParser
from asyncio import run
from os import environ
from pathlib import Path
from signal import SIGINT, SIGTERM, signal
from sys import stderr
from .cli import Aborted, SyncAbortedError
from .daemon import Schedule, watch
from .reindex import reindex
from .... | CNSeniorious000/lark-fs | src/lark_fs/main.py | .py | 49557adbb68efb75 | 7.15 | 1 |
"""Rebuild derived indexes from messages already on disk, without touching the network.
`users/` and each chat's `media.yaml` are both projections of the message files, so a
store synced before those projections existed (or after their extraction rules changed)
can be brought up to date locally instead of re-fetching ... | CNSeniorious000/lark-fs | src/lark_fs/reindex.py | .py | 32a66a5de49bb23a | 7.15 | 1 |
"""On-disk layout + incremental-sync bookkeeping.
Everything is one entity per file, named by its Lark ID, so `fd om_xxx` and
`rg 'oc_xxx'` are the primary query interface. Cross-entity references are
always raw IDs, never paths -- so a grep for an ID finds every mention of it.
Structured data is rendered as readable... | CNSeniorious000/lark-fs | src/lark_fs/store.py | .py | 3319d928763102e4 | 7.15 | 1 |
"""pnpm-style inline progress: a few lines redrawn in place, no alternate screen."""
from asyncio import CancelledError, Event, Future, create_task, gather, sleep
from contextlib import suppress
from itertools import cycle
from re import compile
from sys import stderr
from xml.sax.saxutils import escape
from prompt_t... | CNSeniorious000/lark-fs | src/lark_fs/tui.py | .py | 6afbfbf6b3a64d27 | 7.15 | 1 |
from re import IGNORECASE, VERBOSE, compile
type JSON = dict[str, JSON] | list[JSON] | tuple[JSON, ...] | str | int | float | bool | None
# A literal block cannot carry these: YAML forbids the C0 and C1 control ranges outright,
# and reads U+0085/2028/2029 as line breaks, which would silently restructure the documen... | CNSeniorious000/lark-fs | src/lark_fs/yaml.py | .py | f3b447ff37c1d816 | 7.15 | 1 |
"""
datacenter/scale_up.py — Part ii proof-of-concept (RQ4): turn one Orin's measured
power trace into a facility-scale power profile.
Two paths, matching the proposal:
* OpenG2G (arXiv:2605.05519): the intended tool. It replays real GPU power traces
through a data-center + grid model. This module EXPORTS your O... | Adraxem/thesis_experiment | datacenter/scale_up.py | .py | ef8632f130834e3d | 7 | 0 |
"""
models/base.py — a uniform runner interface so the sweep driver treats every model
the same: load once, then run N inference iterations while the PowerLogger records.
Each concrete runner tries the real backend (torch / TensorRT / transformers) and
falls back to a timing-only stub if the dependency or hardware is ... | Adraxem/thesis_experiment | models/base.py | .py | 583848459ef149d2 | 7 | 0 |
"""
power/waveform_features.py — turn a PowerTrace into the scalar features that are
the *object of study* in this thesis (RQ1): peak, transient sharpness, thermal
ramp, and energy-per-inference — not just average power.
These are exactly the targets the predictor (RQ2) learns and the optimizer (RQ3)
constrains.
"""
f... | Adraxem/thesis_experiment | power/waveform_features.py | .py | c26d1cb5cfcadc6d | 7 | 0 |
"""TelegramNotifier — реализация NotifierPort через обычные HTTPS-вызовы к
Telegram Bot API (``httpx``), НЕ через aiogram. Осознанное решение: aiogram
заточен под асинхронный long-polling/webhook цикл самого бота
(bot/main.py), а этот адаптер нужен и синхронному CLI (cli/main.py, флаг
``--notify-telegram``) — тащить ту... | Nergan/cutaway | another/control-plane-admin/another_admin/adapters/telegram_notifier.py | .py | 30baad050eb2efc3 | 7 | 0 |
"""Фабрика FastAPI-приложения: Worker REST-прокси + админ-API + статическая админка."""
from __future__ import annotations
import mimetypes
from contextlib import asynccontextmanager
from pathlib import Path
from fastapi import FastAPI
from fastapi.responses import FileResponse
from fastapi.staticfiles import Static... | Nergan/cutaway | another/control-plane-admin/another_admin/api/app.py | .py | a824fdc5f1bc73db | 7 | 0 |
"""Загрузка конфигурации из переменных окружения — единая точка входа для
CLI и Telegram-бота (два driving-адаптера одного и того же domain-слоя,
см. §12 архитектурной спецификации).
"""
from __future__ import annotations
import os
from dataclasses import dataclass, field
class MissingConfigError(RuntimeError):
... | Nergan/cutaway | another/control-plane-admin/another_admin/config.py | .py | a8ac29512c7a8ca2 | 7 | 0 |
"""DeviceProvisioningService — прямой перенос псевдокода §12 архитектурной
спецификации (``create_invite``/``revoke_device``) в рабочий код. Не знает
ничего про Mongo/Telegram/CLI/Typer/aiogram — только через
UserRepositoryPort.
"""
from __future__ import annotations
import hashlib
import secrets
from dataclasses imp... | Nergan/cutaway | another/control-plane-admin/another_admin/domain/device_provisioning_service.py | .py | b6f71ceca63e811b | 7 | 0 |
"""Domain-модели. Ничего не знают про MongoDB/Telegram — только форма
данных и её инварианты. Зеркалят исправленную схему §10 архитектурной
спецификации (без HWID/MAC — идентичность только через public_key,
проставляемый устройством при онбординге, см. edge/src/handlers/enroll.ts).
"""
from __future__ import annotatio... | Nergan/cutaway | another/control-plane-admin/another_admin/domain/models.py | .py | c8db5286e8caaef4 | 7 | 0 |
"""QuotaReportService — сводка по использованию квоты трафика (§8.4
спецификации: поле quota_limit_bytes/bytes_used без этого сервиса было бы
"мёртвыми" данными, которые некому смотреть)."""
from __future__ import annotations
from dataclasses import dataclass
from another_admin.domain.models import QuotaReportRow
fr... | Nergan/cutaway | another/control-plane-admin/another_admin/domain/quota_report_service.py | .py | 5c20af001b3db432 | 7 | 0 |
"""NotifierPort — доставка приглашения адресату. В v1 единственная
реализация — Telegram (adapters/telegram_notifier.py), но порт намеренно не
называется TelegramNotifierPort: смена канала (Matrix/Signal-бот и т.п.,
см. §19 архитектурной спецификации) — это замена одного адаптера, а не
переписывание domain-слоя."""
fr... | Nergan/cutaway | another/control-plane-admin/another_admin/ports/notifier_port.py | .py | a1d98e56237382fe | 7 | 0 |
"""UserRepositoryPort — доступ к источнику истины (MongoDB Atlas, §10
спецификации). Используется typing.Protocol (структурная типизация), а не
abc.ABC — идиоматичнее для Python и не требует явного наследования от
адаптеров и тестовых fake-реализаций (см. tests/test_device_provisioning_service.py).
"""
from __future__... | Nergan/cutaway | another/control-plane-admin/another_admin/ports/user_repository_port.py | .py | 5c4cc4b1c7a3ba01 | 7 | 0 |
"""
core/hydrodynamic_forces.py
Calcolo Carichi Ambientali (Vento e Corrente) OCIMF MEG4.
Convenzione Angoli: 0° = PRUA, 90° = DRITTA, 180° = POPPA, 270° = SINISTRA.
"""
import numpy as np
def get_ocimf_wind_coefficients(angle_deg: float) -> tuple:
"""
Curve trasversali, longitudinali e di momento del vento ... | PANORAMA2026/moor2.0 | core/hydrodynamic_forces.py | .py | bc6f78e7c6cdeeca | 7 | 0 |
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