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 |
|---|---|---|---|---|---|---|
"""Windows implementation of the daemon-installer interface, via a Task
Scheduler task (`schtasks`, built into every Windows install — no extra
dependency) triggered on logon — the Windows analogue of macos_launchd.py's
LaunchAgent. See docs/adr/0002-pluggable-secret-store-and-daemon-installer.md
— this is the ONLY fil... | DevDock-AI/claude-unlimited | claude_unlimited/daemon_installer/windows_taskscheduler.py | .py | 6b0726fababcf19a | 7.45 | 7 |
"""Export/Import bundles.
`cryptography` is the single exception to the dependency-free-backend rule,
and its use is confined to this file. A bundle containing Profiles (and
therefore credentials) is ALWAYS passphrase-encrypted; Settings- or
Activity-only bundles are plain JSON, since they hold no secrets.
Two-step b... | DevDock-AI/claude-unlimited | claude_unlimited/export_import.py | .py | e15c19cd0877702c | 7.45 | 7 |
"""Locale loading.
Adding a language means dropping a `<code>.json` file into locales/ with the
same keys as en.json — no code change, no registration step.
en.json is the canonical key set. A locale missing a key falls back to the
English string, so a partial translation still renders instead of showing a
blank or a... | DevDock-AI/claude-unlimited | claude_unlimited/i18n.py | .py | 9cfd7c13653bab8d | 7.45 | 7 |
"""Desktop notifications via one OS-native mechanism per platform, none of
them an extra dependency: `osascript` on macOS, `notify-send` on Linux, a
PowerShell toast on Windows. The Linux and Windows paths are UNVERIFIED —
treat them as a first cut, not confirmed backends.
Every call site funnels through notify_if_ena... | DevDock-AI/claude-unlimited | claude_unlimited/notifications.py | .py | 8cbf2252307c9191 | 7.45 | 7 |
"""Encodes/decodes what's actually stored in secret_store for an OAuth
Profile.
Two on-disk shapes exist:
* a plain access token string, used for a manually-pasted token or an
`api` kind Profile;
* a small JSON blob holding access_token, refresh_token and expires_at,
used once a refresh token is available... | DevDock-AI/claude-unlimited | claude_unlimited/oauth_credential.py | .py | 71b2ce7cf9227ca7 | 7.45 | 7 |
"""OAuth token-refresh support for Claude Unlimited.
The account-adding flow itself lives in cli.py's add_account(): a browser
login through an isolated Claude Code session (`CLAUDE_CONFIG_DIR`), read
back via anthropic_oauth.read_claude_code_credentials(). This module covers
what happens afterwards: refresh_access_to... | DevDock-AI/claude-unlimited | claude_unlimited/oauth_login.py | .py | 2ee3bad7b573235a | 7.45 | 7 |
"""Classifies upstream response metadata into explicit Observation types.
Pure, deterministic, no I/O. Takes only response metadata — the status code
and an allowlist of header values the Proxy module extracts — never response
bodies. That is what lets the Daemon forward request and response bodies as
opaque streams w... | DevDock-AI/claude-unlimited | claude_unlimited/observation.py | .py | 15a16ae34f074dcd | 7.45 | 7 |
"""Orchestrates one Claude Code request through a codex-kind Profile:
credential refresh, request translation, the HTTPS call to OpenAI's backend,
and response translation back to Anthropic's shape. The single entry point
gateway.py's codex branch calls into.
Talks to the same backend endpoints the `codex` CLI does —
... | DevDock-AI/claude-unlimited | claude_unlimited/openai_bridge.py | .py | 40c5f9085d6ecb7c | 7.45 | 7 |
"""Encodes/decodes what's stored for a ChatGPT/Codex-subscription credential,
and the JWT-decoding helpers needed to read its claims (expiry, account id,
plan) without a network call. Mirrors oauth_credential.py's role for
Anthropic OAuth Profiles, but for the shape Codex's own auth.json uses:
id_token, access_token, r... | DevDock-AI/claude-unlimited | claude_unlimited/openai_credential.py | .py | 1c3486f0336592f1 | 7.45 | 7 |
"""Claude model -> OpenAI/Codex model + reasoning-effort mapping.
Pure, no I/O. The tiering is best-effort, matched by price/role parity
between the Codex model catalog and Anthropic's published pricing; neither
vendor documents an equivalence. Revisit when either lineup changes.
The tiers are deliberately conservati... | DevDock-AI/claude-unlimited | claude_unlimited/openai_models.py | .py | 646d29d7899f7814 | 7.45 | 7 |
"""Classifies an OpenAI/Codex-backend response's status and headers into the
same Observation union observation.py defines for the Anthropic side.
router.py's rotation logic already works over that union, so a codex-kind
Profile needs a producer of it rather than a new consumer. Like
observation.py, this stays metadat... | DevDock-AI/claude-unlimited | claude_unlimited/openai_observation.py | .py | bf429ed959ce3a7d | 7.45 | 7 |
"""The local-only credential `claude` authenticates to THIS daemon with.
Generated once and persisted: it is exported into the user's shell profile,
so it must stay stable across daemon restarts. It is never sent to Anthropic.
The Gateway compares it in constant time against what the client presents; a
mismatch is a s... | DevDock-AI/claude-unlimited | claude_unlimited/placeholder_token.py | .py | c9ae0f3db501d896 | 7.45 | 7 |
"""Approximate cost calculation from published Anthropic API pricing
(standard, non-batch rates). PRICING_SOURCE and PRICING_FETCHED below record
where the table came from and when. Prices change and this table can go
stale, so any cost figure shown must be labeled an estimate; Anthropic's own
billing is the only autho... | DevDock-AI/claude-unlimited | claude_unlimited/pricing.py | .py | 0974e8a2f0808b9a | 7.45 | 7 |
"""Per-project request counters — the data backing the Dashboard's
"Usage by project (Experimental)" section (see project_attribution.py for
how a request is attributed to a project).
Deliberately counts REQUESTS, not tokens or cost: the daemon has no
per-request token/cost tracking, and a request count is data it alr... | DevDock-AI/claude-unlimited | claude_unlimited/project_usage.py | .py | 355fbea0072bab5b | 7.45 | 7 |
"""Builds the upstream request for a chosen Profile. Pure, no network I/O.
Kept separate from the socket work in upstream.py so it is fully testable
without a real Anthropic connection.
Protocol details this module depends on:
- Claude Code embeds `metadata.user_id` in the /v1/messages JSON body as a
STRING tha... | DevDock-AI/claude-unlimited | claude_unlimited/proxy.py | .py | db1fd2bd41e353e1 | 7.45 | 7 |
"""Pure Rotation decision logic. No I/O, no credentials, no network.
choose() picks which Profile should serve the next request. observe() folds
an Observation (see observation.py) into updated per-profile state. Neither
touches an upstream, a keychain, or a clock beyond what is passed in, which
is what keeps them det... | DevDock-AI/claude-unlimited | claude_unlimited/router.py | .py | 2391dc9cdcb977ec | 7.45 | 7 |
"""Persists the Dashboard-visible slice of Gateway's live runtime state
(usage %, reset times, which Profile is current) across daemon restarts.
A display cache only, never a source of truth for Rotation decisions.
Deliberately NOT persisted: AUTH_INVALID/EXHAUSTED/COOLDOWN/DRAINING states
or cooldown_until — a restar... | DevDock-AI/claude-unlimited | claude_unlimited/runtime_state.py | .py | 1e9aec4c14f0d1cb | 7.45 | 7 |
"""macOS implementation of the secret-store interface, via the `security` CLI.
See docs/adr/0002-pluggable-secret-store-and-daemon-installer.md — this is the
ONLY file that should ever shell out to `security` or know Keychain's shape.
Callers use claude_unlimited.secret_store, never this module directly.
"""
from __f... | DevDock-AI/claude-unlimited | claude_unlimited/secret_store/macos_keychain.py | .py | 709a440021acf3cf | 7.45 | 7 |
"""Windows implementation of the secret-store interface, via DPAPI
(CryptProtectData/CryptUnprotectData in crypt32.dll) through `ctypes` —
built into every Windows install, so this needs no extra dependency, the
same "nothing to pip install" property macos_keychain.py and
linux_secretservice.py have. See
docs/adr/0002-... | DevDock-AI/claude-unlimited | claude_unlimited/secret_store/windows_dpapi.py | .py | e892446f6ee02373 | 7.45 | 7 |
"""Per-terminal-session credentials for `claude-unlimited code --profile`.
The shared placeholder_token only proves the request came from a process on
this machine, and every invocation uses the same one, so it cannot carry any
extra meaning. Pinning one terminal to one specific Profile, without
affecting other concur... | DevDock-AI/claude-unlimited | claude_unlimited/session_tokens.py | .py | 590f533826e77031 | 7.45 | 7 |
"""Checks for, downloads, verifies and installs a new release.
TRUST ROOT — the decision this feature was blocked on, made explicit:
1. The source is hardcoded. GITHUB_OWNER/GITHUB_REPO below are constants,
never read from config, never from a response body, never from an
environment variable in a normal ... | DevDock-AI/claude-unlimited | claude_unlimited/updater.py | .py | d5395c791e30dd5b | 7.45 | 7 |
"""Per-request usage history: a bounded local JSONL log, same shape as
activity.py (append-only, trimmed on write, thread-safe). One record per
completed request that yielded a captured model and usage (see
usage_tracking.py). Backs the Dashboard's token/day, model-split,
busiest-hours and cost figures, all aggregated ... | DevDock-AI/claude-unlimited | claude_unlimited/usage_history.py | .py | 5289a2fc25ca46ad | 7.45 | 7 |
"""What shape an endpoint speaks, and how to translate to and from it.
Claude Code always speaks Anthropic Messages. What sits on the other side does
not: OpenAI's Codex backend speaks the Responses API, while LM Studio, Ollama
and most self-hosted servers speak OpenAI Chat Completions. Those differ in
both request an... | DevDock-AI/claude-unlimited | claude_unlimited/wire_formats.py | .py | 0b70d9ebd268db69 | 7.45 | 7 |
"""Command-line interface for openadapt-capture.
Usage:
capture install-ffmpeg
capture record ./my_capture
capture visualize ./my_capture
capture info ./my_capture
"""
from __future__ import annotations
from pathlib import Path
def record(
output_dir: str,
description: str | None = None,
... | OpenAdaptAI/openadapt-capture | openadapt_capture/cli.py | .py | 4e89f9a705676bbd | 7.54 | 11 |
"""Video vs image frame comparison utilities.
Compare extracted video frames against original captured images to verify
frame extraction accuracy.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from pathlib import Path
from typing import TYPE_CHECKING
import numpy as np
if TYPE_CHE... | OpenAdaptAI/openadapt-capture | openadapt_capture/comparison.py | .py | 916feb37c3b43e08 | 7.54 | 11 |
"""Package for interacting with the openadapt-capture database.
Copied from legacy OpenAdapt db/db.py, adapted for per-capture databases.
"""
import sqlite3
from pathlib import Path
import sqlalchemy as sa
from loguru import logger
from sqlalchemy import create_engine, inspect, text
from sqlalchemy.ext.declarative i... | OpenAdaptAI/openadapt-capture | openadapt_capture/db/__init__.py | .py | 93cb288ec89db32b | 7.54 | 11 |
"""CRUD operations for openadapt-capture database.
Copied from legacy OpenAdapt db/crud.py, adapted for per-capture databases.
Only import paths are changed; function signatures and logic are identical.
"""
import json
import sqlite3
from time import monotonic, sleep
from typing import Any, Callable, TypeVar
import ... | OpenAdaptAI/openadapt-capture | openadapt_capture/db/crud.py | .py | 7cc70ba5ec454c91 | 7.54 | 11 |
"""SQLAlchemy models for openadapt-capture.
Copied verbatim from legacy OpenAdapt models.py.
Only import paths are changed; column definitions and relationships are identical.
"""
import io
import sqlalchemy as sa
from PIL import Image
from openadapt_capture.db import Base
# https://groups.google.com/g/sqlalchemy... | OpenAdaptAI/openadapt-capture | openadapt_capture/db/models.py | .py | bf0f3b863fe9a80b | 7.54 | 11 |
"""Virtual-desktop coordinate contract for full-screen recordings."""
from __future__ import annotations
import hashlib
import json
import threading
import time
from dataclasses import dataclass
from dataclasses import field as dataclass_field
from numbers import Integral
from typing import Any, Callable, Iterable, M... | OpenAdaptAI/openadapt-capture | openadapt_capture/desktop_capture.py | .py | 5952157f3c462531 | 7.54 | 11 |
"""Module for customizing multiprocessing.Queue to avoid NotImplementedError.
Copied verbatim from legacy OpenAdapt extensions/synchronized_queue.py.
"""
import multiprocessing
from multiprocessing.queues import Queue
from typing import Any
# Credit: https://gist.github.com/FanchenBao/d8577599c46eab1238a81857bb7277c... | OpenAdaptAI/openadapt-capture | openadapt_capture/extensions/synchronized_queue.py | .py | bfba0bee4582d8ed | 7.54 | 11 |
"""Platform-specific implementations for GUI event capture.
This module provides platform-specific implementations for:
- Screen capture
- Input event capture
- Display information (resolution, DPI, pixel ratio)
The module automatically selects the appropriate implementation based on
the current platform (darwin, win... | OpenAdaptAI/openadapt-capture | openadapt_capture/platform/__init__.py | .py | 0693b9a013a18446 | 7.54 | 11 |
"""macOS (Darwin) platform-specific implementations.
This module provides macOS-specific functionality for:
- Screen capture using Quartz
- Display information (resolution, Retina pixel ratio)
- Accessibility permission checking
"""
from __future__ import annotations
import sys
from openadapt_capture.platform impor... | OpenAdaptAI/openadapt-capture | openadapt_capture/platform/darwin.py | .py | d93f20ba1d0286fa | 7.54 | 11 |
"""Windows platform-specific implementations.
This module provides Windows-specific functionality for:
- Screen capture using Win32 API
- Display information (resolution, DPI scaling)
- Accessibility/permission checking
"""
from __future__ import annotations
import sys
from openadapt_capture.platform import Display... | OpenAdaptAI/openadapt-capture | openadapt_capture/platform/windows.py | .py | 760726bf4003a623 | 7.54 | 11 |
"""Example recordings and sample data loading.
This module provides access to bundled example recordings that can be used
for testing, demos, and as reference implementations.
Example usage:
>>> from openadapt_capture.samples import list_examples, load_example
>>> print(list_examples())
['turn-off-nightsh... | OpenAdaptAI/openadapt-capture | openadapt_capture/samples.py | .py | 56236409a8156cf2 | 7.54 | 11 |
"""Share recordings between computers using Magic Wormhole.
Usage:
capture share send ./my_recording
capture share receive 7-guitarist-revenge
"""
from __future__ import annotations
import shutil
import subprocess
import sys
import tempfile
from pathlib import Path
from zipfile import ZIP_DEFLATED, ZipFile
... | OpenAdaptAI/openadapt-capture | openadapt_capture/share.py | .py | 9a22bc35ce17600a | 7.54 | 11 |
"""Shared keyboard shortcuts for all OpenAdapt viewers.
This module provides a unified keyboard shortcut system that ensures
consistent UX across benchmark, training, and capture viewers.
"""
from __future__ import annotations
def get_keyboard_shortcuts_js() -> str:
"""Get JavaScript code for unified keyboard s... | OpenAdaptAI/openadapt-capture | openadapt_capture/shared_ui/keyboard_shortcuts.py | .py | 8d41160bebffb45a | 7.54 | 11 |
"""Performance statistics collection and plotting.
Track and visualize capture performance metrics like event processing
latency and memory usage.
"""
from __future__ import annotations
import time
from collections import defaultdict
from dataclasses import dataclass, field
from pathlib import Path
from typing impor... | OpenAdaptAI/openadapt-capture | openadapt_capture/stats.py | .py | 9277ac8a01140619 | 7.54 | 11 |
"""Versioned structural observations captured beside native input events.
Structural observations are optional evidence. They describe what the native
accessibility API exposed at action time; absent values stay absent rather than
being guessed from pixels, coordinates, or neighboring controls.
"""
from __future__ i... | OpenAdaptAI/openadapt-capture | openadapt_capture/structural.py | .py | 5c82327562bdec86 | 7.54 | 11 |
"""Windows UI Automation observation without input injection.
``pywinauto`` is imported only when the Windows observer is instantiated.
Importing this module on macOS, Linux, or a headless host is side-effect free.
"""
from __future__ import annotations
import ctypes
import gc
import logging
import math
import sys
i... | OpenAdaptAI/openadapt-capture | openadapt_capture/structural_observer/windows.py | .py | ec0c422b39f4c3bb | 7.54 | 11 |
"""Utility functions for openadapt-capture.
Copied from legacy OpenAdapt utils.py — timestamp management, screenshot capture,
and multiprocessing helpers. Only import paths are changed.
"""
import sys
import threading
import time
import traceback
from functools import wraps
from typing import Any, Callable
import ms... | OpenAdaptAI/openadapt-capture | openadapt_capture/utils.py | .py | c061f3e8e1f5a026 | 7.54 | 11 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = [
# "huggingface_hub",
# "muna",
# "onnxruntime",
# "opencv-python-headless",
# "torchvision"
# ]
# ///
from cv2 import applyColorMap, cvtColor, COLOR_BGR2RGB, COLORMAP_INFE... | muna-ai/models | depth-estimation/apple_depth_pro.py | .py | 0ad528cd545e11ef | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# NOTE: In order to run and/or compile this model, you must clone Depth Anything into the current working directory.
# Run `git clone https://github.com/LiheYoung/Depth-Anything.git` then run/compile this script.
# /// script
# requires-python = ">=3.1... | muna-ai/models | depth-estimation/depth_anything_.py | .py | fcc1c32145e6fa4e | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# NOTE: In order to run and/or compile this model, you must clone Depth Anything V2 into the current working directory.
# Run `git clone https://github.com/DepthAnything/Depth-Anything-V2.git` then run/compile this script.
# /// script
# requires-pytho... | muna-ai/models | depth-estimation/depth_anything_v2_.py | .py | fca682b7cbfe2466 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# NOTE: In order to run and/or compile this model, you must clone Depth Anything V3 into the current working directory.
# Run `git clone https://github.com/ByteDance-Seed/Depth-Anything-3.git` then run/compile this script.
# /// script
# requires-pytho... | muna-ai/models | depth-estimation/depth_anything_v3_.py | .py | 2ab074c2e1fbe7c1 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["diffusers[torch]>=0.37.0", "muna", "sentencepiece", "transformers>=5.7"]
# ///
from accelerate import init_empty_weights
from contextlib import contextmanager
from diffusers import (
Auto... | muna-ai/models | image-generation/flux_2_klein_9b.py | .py | 548d8c142f4d3aa2 | 7.59 | 14 |
#
# Muna
# Copyright © 2025 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["muna", "torchvision"]
# ///
from muna import compile, Parameter, Sandbox
from muna.beta import OnnxRuntimeInferenceMetadata
from numpy import int64
from numpy.typing import NDArray
from PIL i... | muna-ai/models | image-segmentation/deeplab_v3.py | .py | 4c005e2464188354 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["huggingface_hub", "muna", "onnxruntime", "torchvision"]
# ///
from huggingface_hub import hf_hub_download
from muna import compile, Parameter, Sandbox
from muna.beta import OnnxRuntimeInferen... | muna-ai/models | image-segmentation/segment_anything_2_1_roi.py | .py | 392cac39446b23a6 | 7.59 | 14 |
#
# Muna
# Copyright © 2025 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["huggingface_hub", "muna", "onnxruntime", "torchvision"]
# ///
from huggingface_hub import hf_hub_download
from muna import compile, Parameter, Sandbox
from muna.beta import OnnxRuntimeInferen... | muna-ai/models | image-segmentation/segment_anything_2_roi.py | .py | a69412440aa1c676 | 7.59 | 14 |
#
# Muna
# Copyright © 2025 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["muna", "rich", "torchvision", "ultralytics"]
# ///
from muna import compile, Parameter, Sandbox
from muna.beta import OnnxRuntimeInferenceMetadata
from numpy import bool_
from numpy.typing im... | muna-ai/models | image-segmentation/yolo_v8_segment_large.py | .py | d5ce5256264b6d7a | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["accelerate", "muna", "torch", "transformers>=5.12"]
# ///
from accelerate import init_empty_weights
from muna import compile, BatchConfig, Parameter, Sandbox
from muna.beta import (
Annot... | muna-ai/models | large-language-models/gemma_4_26b_a4b_it.py | .py | 3868d137ff090254 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["accelerate", "muna", "torch", "transformers>=5.11"]
# ///
from accelerate import init_empty_weights
from muna import compile, BatchConfig, Parameter, Sandbox
from muna.beta import (
Annot... | muna-ai/models | large-language-models/glm_5_2.py | .py | 23e3721d22c0a2a6 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["accelerate", "muna", "tiktoken", "torch", "transformers>=5.12"]
# ///
from accelerate import init_empty_weights
from contextlib import contextmanager
from muna import compile, BatchConfig, Pa... | muna-ai/models | large-language-models/kimi_k2_5.py | .py | c7fae4ea2db9e778 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["accelerate", "muna", "tiktoken", "torch", "transformers>=5.12"]
# ///
from accelerate import init_empty_weights
from contextlib import contextmanager
from muna import compile, BatchConfig, Pa... | muna-ai/models | large-language-models/kimi_k2_6.py | .py | 895a2ffac3080a35 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = ["huggingface_hub", "llama-cpp-python", "muna"]
# ///
from huggingface_hub import hf_hub_download
from json import dumps
from llama_cpp import Llama, LlamaGrammar
from muna import compile, Para... | muna-ai/models | large-language-models/lfm_2_5_230m.py | .py | 45bc2ace26ed9347 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["accelerate", "muna", "torch", "transformers>=5.12"]
# ///
from accelerate import init_empty_weights
from muna import compile, BatchConfig, Parameter, Sandbox
from muna.beta import (
Annot... | muna-ai/models | large-language-models/qwen_3_8_27b.py | .py | 09b7d45d11b31021 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.12"
# dependencies = ["lap", "muna", "torchvision", "ultralytics==8.3.161"]
# ///
from argparse import Namespace
from muna import compile, Parameter, Sandbox
from numpy import array, float32
from pydantic import B... | muna-ai/models | object-detection/bytetrack.py | .py | 71c09abb2a815284 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = ["muna", "rfdetr", "rich", "torchvision"]
# ///
from muna import compile, Parameter, Sandbox
from muna.beta import OnnxRuntimeInferenceMetadata
from PIL import Image
from pydantic import BaseMo... | muna-ai/models | object-detection/rf_detr.py | .py | 9e3f04d5b02ea299 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = ["faster_coco_eval", "muna", "rich", "scipy", "tensorboard", "torchvision"]
# ///
from muna import compile, Parameter, Sandbox
from muna.beta import OnnxRuntimeInferenceMetadata
from PIL import... | muna-ai/models | object-detection/rt_detr.py | .py | c4b008f70ad8ccee | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = ["muna", "rich", "torchvision", "ultralytics"]
# ///
from muna import compile, Parameter, Sandbox
from muna.beta import OnnxRuntimeInferenceMetadata
from PIL import Image
from pydantic import B... | muna-ai/models | object-detection/yolo26_nano.py | .py | a8d7ac4220f1b3cc | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = ["muna", "rich", "torchvision", "ultralytics"]
# ///
from muna import compile, Parameter, Sandbox
from muna.beta import OnnxRuntimeInferenceMetadata
from PIL import Image
from pydantic import B... | muna-ai/models | object-detection/yolo_v8_nano.py | .py | dde658956d693f03 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = [
# "loguru",
# "muna",
# "opencv-python-headless",
# "packaging",
# "psutil",
# "rich",
# "tabulate",
# "torchvision"
# ]
# ///
from muna import compile, Parame... | muna-ai/models | object-detection/yolox_nano.py | .py | 3e3cbcae51731493 | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = ["ai-edge-litert", "muna", "opencv-python-headless", "torchvision"]
# ///
from ai_edge_litert.interpreter import Interpreter
from muna import compile, Parameter, Sandbox
from muna.beta import T... | muna-ai/models | pose-detection/blazepalm_detector.py | .py | d0e0f038575b9f7e | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = ["ai-edge-litert", "muna", "opencv-python-headless", "torchvision"]
# ///
from ai_edge_litert.interpreter import Interpreter
from cv2 import getRectSubPix, getRotationMatrix2D, warpAffine, BORD... | muna-ai/models | pose-detection/blazepalm_landmarker.py | .py | 2ad0a1189777c4bd | 7.59 | 14 |
#
# Muna
# Copyright © 2026 NatML Inc. All Rights Reserved.
#
# /// script
# requires-python = ">=3.11"
# dependencies = ["muna", "opencv-python-headless", "tensorflow", "torchvision"]
# ///
from muna import compile, Parameter, Sandbox
from muna.beta import TFLiteInterpreterMetadata
from numpy import array, ceil,... | muna-ai/models | pose-detection/blazepose_detector.py | .py | 10e2a9039d3c7294 | 7.59 | 14 |
#!/usr/bin/env python3
"""Convert Lex's bounded compressed JSONL datasets to Parquet."""
from __future__ import annotations
import argparse
import gzip
from pathlib import Path
import pyarrow
import pyarrow.json as pyarrow_json
import pyarrow.parquet as parquet
# EUR-Lex can publish very large annex tables. The cu... | SFHAJJI/lex-ops | dataset_to_parquet.py | .py | 2dcc7c5b42dcc6ed | 7.42 | 6 |
"""CLI entry point for the Atlanta Tech Internships pipeline.
Supports running the full pipeline or individual stages:
python main.py --full # Run complete pipeline (default)
python main.py --discover-only # Discovery only
python main.py --readme-only # Regenerate README only
python... | ctsc/southeast-tech-internships-2026-2027 | main.py | .py | 118a22a5678c4e57 | 7.48 | 8 |
"""Moves closed and stale listings from jobs.json to archived.json.
Archival criteria:
- CLOSED listings whose date_last_verified is older than 7 days.
- Any listing whose date_added is older than 120 days, regardless of status.
"""
import logging
from datetime import date, datetime, timezone
from pathlib import Path... | ctsc/southeast-tech-internships-2026-2027 | scripts/archive_stale.py | .py | 1c03690a0f8b9fa8 | 7.48 | 8 |
"""Async link health checker that verifies all application URLs are still active.
Uses httpx.AsyncClient for async HEAD requests with a concurrency limiter.
Tracks consecutive failures in data/link_health.json; a listing must fail
2 consecutive checks across 2 runs before being marked CLOSED.
"""
import asyncio
impor... | ctsc/southeast-tech-internships-2026-2027 | scripts/check_links.py | .py | 91ec1c41291d69d3 | 7.48 | 8 |
"""Discovery engine for entry-level/new-grad tech jobs in Georgia.
Mirrors the internship discovery pipeline but uses entry_level_filters from
config.yaml to find full-time entry-level positions instead of internships.
"""
import asyncio
import json
import logging
from datetime import datetime, timezone
from pathlib ... | ctsc/southeast-tech-internships-2026-2027 | scripts/el_discover.py | .py | 783cba16f47daf6f | 7.48 | 8 |
"""Transforms jobs.json into a formatted README.md with categorized internship tables.
Entry point script that loads the jobs database, renders it to markdown,
validates the output, and writes the final README.md.
"""
import json
import logging
from pathlib import Path
from scripts.utils.config import PROJECT_ROOT
f... | ctsc/southeast-tech-internships-2026-2027 | scripts/generate_readme.py | .py | aed07892724ff1b9 | 7.48 | 8 |
"""Processes community-submitted GitHub issues and adds valid listings to the database.
Fetches open issues labeled 'new-internship', parses the structured issue form
data, validates submissions, and adds valid listings to jobs.json.
"""
import hashlib
import json
import logging
import re
from datetime import date, d... | ctsc/southeast-tech-internships-2026-2027 | scripts/process_issues.py | .py | b29a0bfe940aa1c4 | 7.48 | 8 |
"""Shared database I/O utilities for loading and saving JobsDatabase files.
Provides load_database() and save_database() used across the pipeline:
deduplicate, check_links, validate, el_validate, and archive_stale.
"""
import json
import logging
from datetime import datetime, timezone
from pathlib import Path
from s... | ctsc/southeast-tech-internships-2026-2027 | scripts/utils/db_io.py | .py | ef146210cde014f3 | 7.48 | 8 |
"""Pydantic v2 data models for the Autonomous Internship Board.
Defines all core models: enums for role categories, sponsorship status,
listing status, and ATS types; plus Company, JobListing, JobsDatabase,
and RawListing.
"""
import hashlib
from datetime import date, datetime, timezone
from enum import Enum
from typ... | ctsc/southeast-tech-internships-2026-2027 | scripts/utils/models.py | .py | 419ee0846585abc8 | 7.48 | 8 |
"""Markdown table generation logic for rendering the README from job data.
Transforms a JobsDatabase into a beautifully formatted README.md with
categorized internship tables, stats, and legend. Only includes Southeast
region listings (GA, FL, AL, TX, SC, NC, TN).
"""
import logging
from datetime import date
from sc... | ctsc/southeast-tech-internships-2026-2027 | scripts/utils/readme_renderer.py | .py | 98a56f44192042ba | 7.48 | 8 |
"""Shared pytest fixtures for internship board tests."""
from datetime import date, datetime
import pytest
import yaml
from scripts.utils.models import (
JobListing,
JobsDatabase,
ListingStatus,
RoleCategory,
SponsorshipStatus,
)
@pytest.fixture
def sample_job_listing_data():
"""Raw dict fo... | ctsc/southeast-tech-internships-2026-2027 | tests/conftest.py | .py | 29ad7ec8e1ae9c8d | 7.98 | 8 |
"""Tests for the CLI entry point (main.py)."""
import json
from unittest.mock import patch
import pytest
from main import main, parse_args, run_clean, run_full_pipeline
class TestParseArgs:
"""Tests for CLI argument parsing."""
def test_no_args_defaults_to_full(self):
args = parse_args([])
... | ctsc/southeast-tech-internships-2026-2027 | tests/test_main.py | .py | 74123c846e884a19 | 7.98 | 8 |
#!/usr/bin/env python3
"""
airdrop_indexer.py — Bot that listens to XELIS Vault contract events
and records user activities to AirdropTracker.
This bot runs off-chain and:
1. Listens to events emitted by VaultEngine, VaultSwap, PSM, Governor, etc.
2. Calls AirdropTracker.record_*() for each user action
3. Handle... | XelisVault/xelis-vault | scripts/airdrop_indexer.py | .py | bd917f5e29f6ddb4 | 7.45 | 7 |
#!/usr/bin/env python3
"""
Check deployment priority of all Silex contracts.
Returns exit code 0 if all contracts are properly tagged, 1 otherwise.
Usage:
python3 scripts/check_deployment_priority.py
"""
import os
import re
import sys
from pathlib import Path
CONTRACTS_DIR = Path(__file__).parent.parent / "contra... | XelisVault/xelis-vault | scripts/check_deployment_priority.py | .py | b1709050e0d93a13 | 7.45 | 7 |
#!/usr/bin/env python3
"""
generate_airdrop_merkle.py — Generate Merkle tree from AirdropTracker data.
This script:
1. Reads the AirdropTracker contract state (qualified users + distributions)
2. Builds the Merkle tree of (testnet_addr, mainnet_addr, amount) leaves
3. Outputs the Merkle root + full proof set for... | XelisVault/xelis-vault | scripts/generate_airdrop_merkle.py | .py | 5a2f6341e6aa3664 | 7.45 | 7 |
#!/usr/bin/env python3
"""Oracle keeper: 3 provider wallets keep the XEL/USD feed alive.
Cadence économique (config on-chain: hard_stale=500, hb interval=900,
timeout=4000):
- submit_price + poke aggregate_now toutes les SUBMIT_EVERY blocks (~13 min)
- heartbeats toutes les HEARTBEAT_EVERY blocks (~45 min)
Fee 0.0... | XelisVault/xelis-vault | scripts/oracle_keeper3.py | .py | cc0429c78750b893 | 7.45 | 7 |
#!/usr/bin/env python3
"""
validate_chunk_ids.py — Validates all cross-contract chunk IDs.
This validator ACTUALLY verifies that each .call(Nu16, ...) cross-contract call
targets a real entry ID in the target contract. It does this by:
1. Parsing each .slx file to extract its entry list (in declaration order)
2. F... | XelisVault/xelis-vault | scripts/validate_chunk_ids.py | .py | 130efebba1826a7b | 7.45 | 7 |
import asyncio
# Test by running:
# - python python/ccxt/pro/test/base/test_close.py
# - python python/ccxt/pro/test/base/test_future.py
class Future(asyncio.Future):
def resolve(self, result=None):
if not self.done():
self.set_result(result)
def reject(self, error=None):
if not s... | ccxt/okx-python | okx/ccxt/async_support/base/ws/future.py | .py | c66d714df683e343 | 7.42 | 6 |
#!/usr/bin/env python3
"""Versioned identity primitives for reranker cloud evidence."""
from __future__ import annotations
import hashlib
import json
from typing import Any
__all__ = (
"CURRENT_BASELINE_SCHEMA",
"LEGACY_BASELINE_SCHEMA",
"SUPPORTED_BASELINE_SCHEMAS",
"assert_credential_absent",
"... | RyderFreeman4Logos/gb10-services | scripts/reranker_cloud_evidence.py | .py | a39d3e14898e1fca | 7.42 | 6 |
#!/usr/bin/env python3
"""Shared strict numeric score validation for reranker evidence paths."""
from __future__ import annotations
import math
class ScoreValidationError(ValueError):
"""A score array cannot be accepted as equivalence evidence."""
def validate_scores(
scores: object,
expected: int,
... | RyderFreeman4Logos/gb10-services | scripts/reranker_score_validation.py | .py | e335511f5338e9e9 | 7.42 | 6 |
# SPDX-FileCopyrightText: 2026 Miko Parkkinen
# SPDX-License-Identifier: MIT
from __future__ import annotations
import re
from datetime import UTC, datetime
class ClockError(ValueError):
"""Raised when a source timestamp is outside the strict profile."""
_RFC3339 = re.compile(
r"(?P<year>[0-9]{4})-(?P<mon... | Miko997/metriplane | adapters/massrobotics_amr/src/massrobotics_amr_adapter/clock.py | .py | a6cc6f21b35aa167 | 7.45 | 7 |
# SPDX-FileCopyrightText: 2026 Miko Parkkinen
# SPDX-License-Identifier: MIT
from __future__ import annotations
import math
import re
import uuid
from collections.abc import Mapping
from .models import Quaternion
class DatumError(ValueError):
"""Raised when datum or coordinate validation fails closed."""
_UU... | Miko997/metriplane | adapters/massrobotics_amr/src/massrobotics_amr_adapter/datum.py | .py | b5f651a6f334b6c1 | 7.45 | 7 |
# SPDX-FileCopyrightText: 2026 Miko Parkkinen
# SPDX-License-Identifier: MIT
"""Public adapter operations."""
from __future__ import annotations
import shutil
import tempfile
from pathlib import Path
from typing import Any
from .constants import (
DATASET_REPOSITORY,
DATASET_REVISION,
PREPARED_REPOSITOR... | Miko997/metriplane | adapters/robomimic_lowdim/src/robomimic_lowdim/core.py | .py | fa0d37a8143bfaab | 7.45 | 7 |
# SPDX-FileCopyrightText: 2026 Miko Parkkinen
# SPDX-License-Identifier: MIT
"""Canonical serialization and hashing primitives."""
from __future__ import annotations
import hashlib
import json
from pathlib import Path
def canonical_json_bytes(value: object) -> bytes:
"""Return newline-terminated canonical UTF-... | Miko997/metriplane | adapters/ros2_mcap/src/ros2_mcap_adapter/canonical.py | .py | f6010f802d4cf16f | 7.45 | 7 |
"""
Tools for building state and shock space grids.
"""
import numpy as np
import torch
import skagent.utils as utils
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class Grid:
"""
A class representing a labeled grid of numerical values.
Parameters
-----------
config (di... | scikit-agent/scikit-agent | src/skagent/grid.py | .py | a46f1583c73112d2 | 7.45 | 7 |
"""
ModelAnalyzer: Extracts structured metadata from scikit-agent DBlock/RBlock models.
The analyzer builds an annotated dependency graph (``self.G``) as its source of
truth and exposes it in two forms:
- ``to_dict()`` -- node metadata and classified edges for visualization
(e.g., plate-notation drawing via ModelVi... | scikit-agent/scikit-agent | src/skagent/model_analyzer.py | .py | 42bdfd240d5efeeb | 7.45 | 7 |
import os
import yaml
import pydot
import colorsys
import random
import matplotlib.image as mpimg
from io import BytesIO
from IPython.display import SVG, display
# 1) Load config
_CONFIG_FILE = os.path.join(
os.path.dirname(__file__), "model_visualization_config.yaml"
)
with open(_CONFIG_FILE, "r") as f:
_CFG... | scikit-agent/scikit-agent | src/skagent/model_visualizer.py | .py | 63554974a2295339 | 7.45 | 7 |
from skagent.distributions import Bernoulli, Lognormal, MeanOneLogNormal
from sympy.utilities.lambdify import lambdify
from sympy.parsing.sympy_parser import parse_expr
import yaml
class ControlToken:
"""
Represents a parsed Control variable.
"""
def __init__(self, args):
pass
class Express... | scikit-agent/scikit-agent | src/skagent/parser.py | .py | 19ab0bbb9ee0962c | 7.45 | 7 |
"""
Universal rule processing module for scikit-agent models.
This module provides utilities for working with "rules" - the right-hand side
expressions in structural statements that define model dynamics, controls, and rewards.
A rule can be:
- A callable (function, lambda)
- A Control object
- A Distribution or tupl... | scikit-agent/scikit-agent | src/skagent/rule.py | .py | cda6b30ccf641b84 | 7.45 | 7 |
"""
Functions to support Monte Carlo simulation of models.
"""
from __future__ import annotations
import warnings
from copy import copy
from typing import Mapping, Sequence, Union
import numpy as np
from skagent.distributions import (
Distribution,
IndexDistribution,
TimeVaryingDiscreteDistribution,
)
f... | scikit-agent/scikit-agent | src/skagent/simulation/monte_carlo.py | .py | 098f1eb6fb1199cd | 7.45 | 7 |
from __future__ import annotations
import inspect
import logging
from functools import lru_cache
import numpy as np
import torch
# CO_VARARGS | CO_VARKEYWORDS: a function taking only ``*args`` or ``**kwargs``
# accepts arguments while its argument counts are zero.
_CO_VAR_ARGUMENTS = inspect.CO_VARARGS | inspect.CO_V... | scikit-agent/scikit-agent | src/skagent/utils.py | .py | 2ac9cc2131e34737 | 7.45 | 7 |
"""Regression test: a closed-form benchmark's block bounds must be consistent
with its analytical policy, INCLUDING the borrowing region.
The unconstrained perfect-foresight closed forms (D-2, D-3) borrow against
human wealth, so at low wealth the optimal end-of-period assets are negative
(``a' < 0``). The blocks prev... | scikit-agent/scikit-agent | tests/test_benchmark_bound_consistency.py | .py | 185c91d366389eec | 7.95 | 7 |
"""
Tests for skagent.algos.best_response.
The solved rules are asserted exactly. They are Monte Carlo estimates, so the
sample counts here are the smallest at which the reported actions are stable
across seeds; a solved action that moves is a signal, not noise to be papered
over with a looser assertion.
"""
import n... | scikit-agent/scikit-agent | tests/test_best_response.py | .py | e04aa99c092b255c | 7.95 | 7 |
class InvalidPatError(Exception):
"""A presented bearer credential that resolves to no live personal access
token — unknown, mismatched, revoked, or expired."""
class AuthConfigurationError(Exception):
"""The configured auth mode cannot resolve a single operator identity —
e.g. ``none`` mode with more... | czpython/druks | backend/druks/accounts/exceptions.py | .py | 24c6cd359889548f | 7.48 | 8 |
from alembic import context
from sqlalchemy import engine_from_config, pool
from druks.database import _MIGRATION_SUPPORT_ONLY
from druks.models import Base
from druks.secrets.fields import _EncryptedColumn
from druks.settings import load_settings
def _render_item(type_, obj, autogen_context):
# Render app TypeD... | czpython/druks | backend/druks/alembic_support.py | .py | 5742729f73cca712 | 7.48 | 8 |
class AppConfigError(Exception):
"""An app's ``.druks`` config could not be parsed or validated.
Raised at intake (and by push-time validation) so bad config fails
loudly where the work starts instead of half-applying."""
class SettingsDeclarationError(Exception):
"""A ``Settings`` inner class declar... | czpython/druks | backend/druks/apps/exceptions.py | .py | fd8d48ccabd9fc10 | 7.48 | 8 |
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