repo_full_name stringlengths 6 93 | repo_url stringlengths 25 112 | repo_api_url stringclasses 28
values | owner stringclasses 28
values | repo_name stringclasses 28
values | description stringclasses 28
values | stars int64 617 98.8k | forks int64 31 355 ⌀ | watchers int64 990 999 ⌀ | license stringclasses 2
values | default_branch stringclasses 2
values | repo_created_at timestamp[s]date 2012-07-24 23:12:50 2025-06-16 08:07:28 ⌀ | repo_updated_at timestamp[s]date 2026-02-23 15:23:15 2026-05-03 18:52:12 ⌀ | repo_topics listlengths 0 13 ⌀ | repo_languages unknown | is_fork bool 1
class | open_issues int64 3 104 ⌀ | file_path stringlengths 3 208 | file_name stringclasses 509
values | file_extension stringclasses 1
value | file_size_bytes int64 101 84k ⌀ | file_url stringclasses 627
values | file_raw_url stringclasses 627
values | file_sha stringclasses 624
values | language stringclasses 8
values | parsed_at stringdate 2026-05-04 01:12:36 2026-05-04 19:41:55 | text stringlengths 100 102k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | cup_test/cup_services_executor.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.066008 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
unittest for cup.services.executor
"""
import os
import sys
import time
import unittest as sysut
_TOP = os.path.abspath(os.path.dirname(os.path.abspath(__file__)) + '/')
sy... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | cup_test/cup_services_buffer.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.067122 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
unittest for cup.services.buffers
"""
from cup.services import buffers
from cup import unittest
import unittest as sysut
class TestServiceBuffer(sysut.TestCase):
"""
... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | cup_test/cup_util_conf_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.255323 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
unittest for cup.util.conf
"""
from __future__ import print_function
import os
import sys
_TOPDIR = os.path.abspath(os.path.dirname(os.path.abspath(__file__)) + '/../')
sys.... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | cup_test_manually/cup_storage_object_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.256438 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
unittest for cup.cache
"""
from __future__ import print_function
import os
import sys
_NOW_PATH = os.path.dirname(os.path.abspath(__file__)) + '/'
sys.path.insert(0, _NOW_P... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/api-rst/newdoc/conf.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.257845 | # Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Project information -----------------------------------------------------
# https://www.sphinx-doc.org/en/master... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | cup_test/cup_util_thread_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.326406 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
unittest for cup.util.thread
"""
from cup.util import thread
# for RWLock unittest
def test_rw_rw_lock():
lock = thread.RWLock()
lock.acquire_writelock(None)
... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/arrow-runtime/arrow/agent/control.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.661905 | #!/usr/bin/env python
# -*- coding: utf-8 -*
"""
:authors:
Guannan Ma @mythmgn
:create_date:
"""
# import gc
import time
# import pympler
# from pympler import summary
# from pympler import muppy
from cup import log
from cup import net
from cup import platforms
from cup.net.asyn import msg
from cup.services impo... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/arrow-runtime/arrow/agent/arrow_agent.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.756863 | #!/usr/bin/env python
# -*- coding: utf-8 -*
"""
:authors:
Guannan Ma @mythmgn
:create_date:
2016/05/05
:modify_date:
:description:
"""
import os
import sys
import signal
from cup import decorators
from cup import net
from cup.util import conf
from cup import log
from arrow.agent import control
from arrow.c... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | cup_test/cup_storage_obj_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.787705 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
"""
from cup.storage import obj
s3 = obj.S3ObjectSystem(
{
'ak': 'dQL2wNqjcerNJsrobLbK',
'sk': 'hfkWQdDB8sMsimgIqZORBsWIZyPzahJtToKZoLCz',
'endpoint': 'ht... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/arrow-runtime/arrow/agent/unique_id.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.863493 | #!/usr/bin/env python
# -*- coding: utf-8 -*
"""
:authors:
Guannan Ma maguannan @mythmgn
:create_date:
2016.5.10
:description:
generate unique id for services
"""
from cup import decorators
@decorators.Singleton
class UniqueID(object):
"""
generate unique id
"""
def __init__(self, low, hig... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/arrow-runtime/arrow/common/resource.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.911235 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# #############################################################
#
# Copyright (c) 2014 Baidu.com, Inc. All Rights Reserved
#
# #############################################################
"""
:authors:
Guannan Ma maguannan @mythmgn
:create_date:
2016/04/05 17:23:06... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/arrow-runtime/arrow/common/service.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:14.970639 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# #############################################################
#
# Copyright (c) 2014 Baidu.com, Inc. All Rights Reserved
#
# #############################################################
"""
:authors:
Guannan Ma maguannan @mythmgn
:create_date:
[% date('%c') %]
:m... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | cup_test_manually/cup_mail_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.196843 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
unittest for cup.mail
"""
import os
import sys
_NOW_PATH = os.path.dirname(os.path.abspath(__file__)) + '/'
sys.path.insert(0, _NOW_PATH + '../')
from cup import mail
from... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/arrow-runtime/arrow/common/settings.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.197546 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# #############################################################
#
# Copyright (c) 2014 Baidu.com, Inc. All Rights Reserved
#
# #############################################################
"""
:authors:
Guannan Ma maguannan @mythmgn
:create_date:
2014/04/05 17:23:06... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/arrow-runtime/arrow/master/arrow_master.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.303061 | #!/usr/bin/env python
# -*- coding: utf-8 -*
"""
:authors:
Guannan Ma @mythmgn
:create_date:
2016/05/05
:description:
TODO:
1. Heartbeat with resource
2. Serialize base for all network msg
3. Heartbeat network msg
"""
import os
import sys
import signal
from cup import decorators
f... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/arrow-runtime/arrow/master/control.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.321092 | #!/usr/bin/env python
# -*- coding: utf-8 -*
"""
:authors:
Guannan Ma @mythmgn
:create_date:
"""
# import os
# import sys
# import copy
# import objgraph
# from cup import decorators
from cup import log
# from cup import net
from cup.services import executor
from cup.net.asyn import msgcenter
from cup.net.asyn im... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.363624 | #!/bin/env python
# -*- coding: utf-8 -*
"""
@author Guannan Ma
"""
import sys
# { BENGIN: for python3 compatibility
# END }
# { Check Env
if sys.version_info < (2, 6):
raise ImportError(
'cup needs to be run on python 2.6 and above.'
)
# End Check-Env }
from cup import log
from cup import d... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/arrow-runtime/arrow/master/heartbeat.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.487878 | #!/usr/bin/env python
# -*- coding: utf-8 -*
"""
:authors:
Guannan Ma @mythmgn
:create_date:
2016/06/07
:description:
heartbeat service
"""
from cup.services import heartbeat
class HeartbeatService(heartbeat.HeartbeatService):
"""
heartbeat service. not in use yet
"""
def __init__(self, ju... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/cache.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.540451 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
decorators related module
"""
import time
import typing
# from typing import Any, Iterable
import uuid
try:
import queue
except ImportError:
import Queue as queue # ... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/const.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.570535 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:desc:
Const variable for internal use. Use it when you know
what this _const really means
"""
from __future__ import print_function
import cup
from cup import version
# pylint:disab... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/decorators.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.577396 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
decorators related module
"""
from __future__ import print_function
import pdb
import os
import time
import inspect
import platform
import threading
import functools
from da... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/exfile.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.770237 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
file related functions
"""
import os
import sys
import copy
import fcntl
import shutil
from cup import err
from cup import decorators
from cup import platforms
__all__ = ... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/err.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.872451 | #!/usr/bin/python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
error related module
"""
# pylint: disable=consider-using-f-string
__all__ = [
'BaseCupException', 'DecoratorException', 'LoggerException',
'ResException', 'NoSuchProce... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/log.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.876133 | #!/usr/bin/python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
common log related module
"""
# pylint: disable=unspecified-encoding,broad-except
from __future__ import print_function
__all__ = [
'debug', 'info', 'warning', 'critical', ... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/net/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.914360 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
"""
:description:
network related module
"""
from __future__ import print_function
import os
import sys
import time
import socket
import struct
import netifaces as ni
import platform
import warnings
try:
import fcntl
exc... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/flag.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:15.965172 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
TypeMan and FlagMan is for someone who looks up value by key and
the reverse (key by value)
"""
__all__ = ['BaseMan', 'TypeMan', 'FlagMan']
class BaseMan(object):
... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/mail.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:16.041061 | #!/usr/bin/python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
mail related modules.
**Recommand using SmtpMailer**
"""
__all__ = ['mutt_sendmail', 'SmtpMailer']
import os
import time
import warnings
import mimetypes
import smtplib
i... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/net/asyn/common.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:16.130207 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
common function module for cup.net.asyn
"""
import socket
import struct
from cup.util import misc
__all__ = [
'ip_port2connaddr', 'add_stub2connaddr', 'add_future2connaddr',
'get_i... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/net/asyn/conn.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:16.138024 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma
"""
:description:
connection related module
1. There's only 1 thread reading/receiving data from the interface.
2. There might have more than 1 thred writing data into the network
queue. 1... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/net/asyn/context.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:16.146864 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
Connection Context for each socket
"""
import copy
import time
import threading
import traceback
try:
import Queue as queue # pylint: disable=F04... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/net/asyn/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:16.176906 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
**Async Module is a tcp framework for asynchrous network msg tranfering**
"""
# TODO:
# 1. If the socket has been in a state in which it does not send or
# recv any... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/net/asyn/ioloop.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:16.347680 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:description:
pollers for epoll and kqueue and others.
Refer IOLoop from tornado:
https://www.tornadoweb.org/en/branch2.0/_modules/tornado/ioloop.html
Respect to the tornado team:... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/net/asyn/msgcenter.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:16.486727 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn),
"""
:descrition:
msg center related module
"""
import abc
import time
import socket
import threading
import traceback
from cup import log
from cup.net.asyn import conn
from cup.net.asyn impo... |
baidu/CUP | https://github.com/baidu/CUP | null | null | null | null | 951 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/cup/net/asyn/msg.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:16.582001 | #!/usr/bin/env python
# -*- coding: utf-8 -*
# Copyright: [CUP] - See LICENSE for details.
# Authors: Guannan Ma (@mythmgn)
"""
:description:
netmsg related module
"""
import os
import cup
from cup import log
from cup import platforms
from cup.util import misc
from cup.util import generator
from cup.net.asyn impor... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | main.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.007448 | import json
import logging
import signal
import sys
from pyhap.accessory_driver import AccessoryDriver
from accessory import Lock
from repository import Repository
from service import Service
from util.bfclf import BroadcastFrameContactlessFrontend
# By default, this file is located in the same folder as the project... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_tlv.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.008020 | from util.tlv import BERTLV
class TestBERTLV:
def test_encode_simple_tag(self):
tlv = BERTLV(0x5A, value=b"\x01\x02\x03")
packed = tlv.pack()
assert packed == b"\x5a\x03\x01\x02\x03"
def test_decode_simple_tag(self):
data = b"\x5a\x03\x01\x02\x03"
tlv = BERTLV.unpack(d... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | accessory.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.011471 | import functools
import logging
from pyhap.accessory import Accessory
from pyhap.const import CATEGORY_DOOR_LOCK
from service import Service
log = logging.getLogger()
# Lock class performs no logic, forwarding requests to Service class
class Lock(Accessory):
category = CATEGORY_DOOR_LOCK
def __init__(self... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | service.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.013132 | import base64
import logging
import time
import os
from operator import attrgetter
from entity import (
Issuer,
Operation,
ReaderKeyResponse,
ReaderKeyRequest,
HardwareFinishResponse,
HardwareFinishColor,
DeviceCredentialRequest,
DeviceCredentialResponse,
Endpoint,
Enrollments,
... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/bfclf.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.017977 | # -*- coding: latin-1 -*-
# -----------------------------------------------------------------------------
# Copyright 2009, 2017 Stephen Tiedemann <stephen.tiedemann@gmail.com>
#
# Licensed under the EUPL, Version 1.1 or - as soon they
# will be approved by the European Commission - subsequent
# versions of the EUPL (t... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | repository.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.019404 | import copy
import hashlib
import json
import logging
from threading import Lock
from typing import List, Optional
from entity import Endpoint, Issuer
log = logging.getLogger()
class Repository:
"""Serves as a way of emulating a storage/database"""
_issuers: List[Issuer]
def __init__(self, storage_fil... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | entity.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.038757 | import hashlib
import os
from dataclasses import dataclass
from enum import Enum, IntEnum
from typing import List, Optional, Union
from util.structable import represent
from util.tlv import TLV8Field, TLV8Object
class KeyType(IntEnum):
CURVE25519 = 0x01
SECP256R1 = 0x02
class Context(Enum):
PERSISTENT ... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | homekey.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.039815 | import base64
import hashlib
import logging
import os
import time
from typing import Collection, List, Optional, Tuple
import cbor2
from cryptography.exceptions import InvalidSignature
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.asymmetric import ec, ed25519
from cryptography.... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_homekey.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.068076 | import os
import pytest
from util.structable import pack
from util.tlv import BERTLV as TLV
from util.iso7816 import ISO7816Response, ISO7816Tag
from homekey import read_homekey, ProtocolError
class FakeTag:
def __init__(self, generator):
self.generator = generator
def transceive(self, _):
... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/generic.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.601941 | def get_tlv_tag(tlv_array, tag_value):
try:
return next(tlv_ for tlv_ in tlv_array if tlv_.tag.data[0] == tag_value).value
except StopIteration:
return None
def chunked(source, size):
for i in range(0, len(source), size):
yield source[i : i + size]
def int_to_bytes(value, byteord... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/iso18013.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.632438 | import cbor2
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
from cryptography.hazmat.primitives.kdf.hkdf import HKDF
from util.iso7816 import ISO7816Tag
#
# Code in this file is highly inspired by https://github.com/google/identity-credential
#
READE... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/crypto.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.639672 | from typing import Union
from cryptography.hazmat.primitives import cmac
from cryptography.hazmat.primitives.asymmetric import ec
from cryptography.hazmat.primitives.asymmetric.ec import EllipticCurvePublicNumbers
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.pri... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/ndef.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.640800 | from enum import IntEnum
from typing import Collection, Union
from util.generic import bits
from util.structable import Packable, Unpackable, pack, represent
#
# Code inspired by information from "Beginning NFC book from O'reilly" and ndeflib
#
class NDEFRecordType(IntEnum):
EMPTY = 0
WELL_KNOWN = 1
MI... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/threads.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.652194 | import functools
import threading
import time
import logging
def runner(target, name: str, flag=lambda *args: True, *, delay=0, exception_delay=5):
self = target.__self__
@functools.wraps(target)
def function_(*args, **kwargs):
while flag(self):
time.sleep(delay)
try:
... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/digital_key.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.653013 | from enum import IntEnum
from typing import Tuple
from util.crypto import (
aes_cmac,
decrypt_aes_cbc,
encrypt_aes_cbc,
pad_mode_3,
unpad_mode_3,
)
from util.iso7816 import ISO7816Command, ISO7816Response, ISO7816Tag
COMMAND_PCB = bytes.fromhex("000000000000000000000000000000")
RESPONSE_PCB = byt... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/nfc.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.653662 | def crc16a(data):
w_crc = 0x6363
for byte in data:
byte = byte ^ (w_crc & 0x00FF)
byte = (byte ^ (byte << 4)) & 0xFF
w_crc = ((w_crc >> 8) ^ (byte << 8) ^ (byte << 3) ^ (byte >> 4)) & 0xFFFF
return bytearray([w_crc & 0xFF, (w_crc >> 8) & 0xFF])
def with_crc16(data):
return byte... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/ecp.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.663256 | from typing import Tuple
from util.structable import PackableData, Packable, pack
ECP_HEADER = 0x6A
TYPE_ACCESS = 0x02
SUBTYPE_HOMEKEY = 0x06
TCI_HOMEKEY = bytes.fromhex("021100")
class ECP(Packable):
"""Elliptic Curve Point"""
command: int
version: int
@staticmethod
def home(identifier: byt... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/iso7816.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.663736 | from enum import Enum, IntEnum
from typing import Any, Union
from util.structable import Packable, Unpackable, pack
#
# Command and response classes were inspired by and based on similar classes from following projects:
# https://github.com/apuigsech/emv-framework
# Documentation regarding the params was taken from:
... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/structable.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:19.707481 | import abc
import base64
from collections.abc import Iterable
from enum import Enum
from string import printable
from typing import Collection, ForwardRef, TypeVar, Union
PRINATBLE_BYTES = set(bytes(printable, "ascii"))
Packable = ForwardRef("Packable")
T = TypeVar("T")
PackableBase = Union[bytes, bytearray, memor... |
kormax/apple-home-key-reader | https://github.com/kormax/apple-home-key-reader | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | util/tlv.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:21.909350 | from enum import Enum, IntEnum
from typing import Collection, List, Union, Dict
from util.generic import int_to_bytes
from util.structable import PackableData, Packable, Unpackable, pack, represent
def try_cast_type(value: bytes, type):
if isinstance(value, Packable):
value = value.pack()
if (
... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | builder/loss_builder.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:24.433138 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: loss_builder.py
import torch
from utils.lovasz_losses import lovasz_softmax
def build(wce=True, lovasz=True, num_class=20, ignore_label=0):
loss_funs = torch.nn.CrossEntropyLoss(ignore_index=ignore_label)
if wce and lovasz:
return loss_funs, lovasz_s... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | dataloader/dataset_nuscenes.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:24.434554 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: dataset_nuscenes.py
import numpy as np
import torch
import numba as nb
from torch.utils import data
from dataloader.dataset_semantickitti import register_dataset
def cart2polar(input_xyz):
rho = np.sqrt(input_xyz[:, 0] ** 2 + input_xyz[:, 1] ** 2)
phi = np.arct... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | builder/model_builder.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:24.435688 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: model_builder.py
from network.cylinder_spconv_3d import get_model_class
from network.segmentator_3d_asymm_spconv import Asymm_3d_spconv
from network.cylinder_fea_generator import cylinder_fea
def build(model_config):
output_shape = model_config['output_shape']
... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | builder/data_builder.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:24.437345 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: data_builder.py
import torch
from dataloader.dataset_semantickitti import get_model_class, collate_fn_BEV
from dataloader.pc_dataset import get_pc_model_class
def build(dataset_config,
train_dataloader_config,
val_dataloader_config,
grid_... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | dataloader/dataset_semantickitti.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:24.438514 | # -*- coding:utf-8 -*-
# author: Xinge
"""
SemKITTI dataloader
"""
import os
import numpy as np
import torch
import random
import time
import numba as nb
import yaml
from torch.utils import data
import pickle
REGISTERED_DATASET_CLASSES = {}
def register_dataset(cls, name=None):
global REGISTERED_DATASET_CLASSES... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | config/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:24.441656 | # -*- coding:utf-8 -*-
# author: Xinge
from pathlib import Path
from strictyaml import Bool, Float, Int, Map, Seq, Str, as_document, load
model_params = Map(
{
"model_architecture": Str(),
"output_shape": Seq(Int()),
"fea_dim": Int(),
"out_fea_dim": Int(),
"num_class": Int... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | dataloader/pc_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:24.451578 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: pc_dataset.py
import os
import numpy as np
from torch.utils import data
import yaml
import pickle
REGISTERED_PC_DATASET_CLASSES = {}
def register_dataset(cls, name=None):
global REGISTERED_PC_DATASET_CLASSES
if name is None:
name = cls.__name__
as... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | demo_folder.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:24.930562 | # -*- coding:utf-8 -*-
# author: Ptzu
# @file: demo_folder.py
import os
import time
import argparse
import sys
import numpy as np
import torch
import torch.optim as optim
from tqdm import tqdm
import yaml
from utils.metric_util import per_class_iu, fast_hist_crop
from dataloader.pc_dataset import get_SemKITTI_label_n... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | network/cylinder_fea_generator.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:25.011222 | # -*- coding:utf-8 -*-
# author: Xinge
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import numba as nb
import multiprocessing
import torch_scatter
class cylinder_fea(nn.Module):
def __init__(self, grid_size, fea_dim=3,
out_pt_fea_dim=64, max_pt_per_encod... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | network/cylinder_spconv_3d.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:25.016024 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: cylinder_spconv_3d.py
from torch import nn
REGISTERED_MODELS_CLASSES = {}
def register_model(cls, name=None):
global REGISTERED_MODELS_CLASSES
if name is None:
name = cls.__name__
assert name not in REGISTERED_MODELS_CLASSES, f"exist class: {REGIST... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | network/segmentator_3d_asymm_spconv.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:25.030577 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: segmentator_3d_asymm_spconv.py
import numpy as np
import spconv
import torch
from torch import nn
def conv3x3(in_planes, out_planes, stride=1, indice_key=None):
return spconv.SubMConv3d(in_planes, out_planes, kernel_size=3, stride=stride,
... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | train_cylinder_asym.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:25.031192 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: train_cylinder_asym.py
import os
import time
import argparse
import sys
import numpy as np
import torch
import torch.optim as optim
from tqdm import tqdm
from utils.metric_util import per_class_iu, fast_hist_crop
from dataloader.pc_dataset import get_SemKITTI_label_nam... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | train_cylinder_asym_nuscenes.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:25.051252 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: train_cylinder_asym.py
import os
import time
import argparse
import sys
import numpy as np
import torch
import torch.optim as optim
from tqdm import tqdm
from utils.metric_util import per_class_iu, fast_hist_crop
from dataloader.pc_dataset import get_nuScenes_label_nam... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | utils/load_save_util.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:25.112057 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: load_save_util.py
import torch
def load_checkpoint(model_load_path, model):
my_model_dict = model.state_dict()
pre_weight = torch.load(model_load_path)
part_load = {}
match_size = 0
nomatch_size = 0
for k in pre_weight.keys():
value = ... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | utils/log_util.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:25.117333 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: log_util.py
def save_to_log(logdir, logfile, message):
f = open(logdir + '/' + logfile, "a")
f.write(message + '\n')
f.close()
return |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | utils/lovasz_losses.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:25.682179 | # -*- coding:utf-8 -*-
# author: Xinge
"""
Lovasz-Softmax and Jaccard hinge loss in PyTorch
Maxim Berman 2018 ESAT-PSI KU Leuven (MIT License)
"""
from __future__ import print_function, division
import torch
from torch.autograd import Variable
import torch.nn.functional as F
import numpy as np
try:
from itertoo... |
xinge008/Cylinder3D | https://github.com/xinge008/Cylinder3D | null | null | null | null | 950 | null | null | apache-2.0 | null | null | null | null | null | null | null | utils/metric_util.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:25.682665 | # -*- coding:utf-8 -*-
# author: Xinge
# @file: metric_util.py
import numpy as np
def fast_hist(pred, label, n):
k = (label >= 0) & (label < n)
bin_count = np.bincount(
n * label[k].astype(int) + pred[k], minlength=n ** 2)
return bin_count[:n ** 2].reshape(n, n)
def per_class_iu(hist):
ret... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/gs/ply.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:29.560884 | from pathlib import Path
import numpy as np
import torch
from jaxtyping import Float
from plyfile import PlyData, PlyElement
from torch import Tensor
def _construct_attributes(d_sh: int) -> list[str]:
attrs = ["x", "y", "z", "nx", "ny", "nz", "f_dc_0", "f_dc_1", "f_dc_2"]
n_rest = 3 * max(d_sh - 1, 0)
att... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:29.595134 | from .registry import MODEL_REGISTRY, register_model
from .model import InfiniDepth, InfiniDepth_DepthSensor
__all__ = [
"MODEL_REGISTRY",
"register_model",
"InfiniDepth",
"InfiniDepth_DepthSensor",
]
def __getattr__(name):
if name in {"InfiniDepth", "InfiniDepth_DepthSensor"}:
from .mode... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/gs/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:29.596765 | """Lightweight Gaussian Splatting inference utilities."""
from .types import Gaussians
from .predictor import GSPixelAlignPredictor
from .ply import export_ply
__all__ = [
"Gaussians",
"GSPixelAlignPredictor",
"export_ply",
]
|
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/gs/types.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:29.598450 | from dataclasses import dataclass
from typing import Optional
import torch
@dataclass
class Gaussians:
means: torch.Tensor # [B, N, 3]
harmonics: torch.Tensor # [B, N, 3, d_sh]
opacities: torch.Tensor # [B, N]
scales: torch.Tensor # [B, N, 3]
rotations: torch.Tensor ... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/gs/projection.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:29.599632 | import torch
def homogenize_points(points: torch.Tensor) -> torch.Tensor:
return torch.cat([points, torch.ones_like(points[..., :1])], dim=-1)
def homogenize_vectors(vectors: torch.Tensor) -> torch.Tensor:
return torch.cat([vectors, torch.zeros_like(vectors[..., :1])], dim=-1)
def transform_cam2world(homo... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/gs/predictor.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:29.603871 | from dataclasses import dataclass
import torch
from torch import nn
from .adapter import GaussianAdapter, GaussianAdapterCfg
from .projection import sample_image_grid
from .types import Gaussians
@dataclass
class GSPredictorCfg:
rgb_feature_dim: int = 64
depth_feature_dim: int = 32
dino_reduced_dim: int... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/common.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:29.633113 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from typing import Type
class MLPBlock(nn.Module):
def __init__(
self,
... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/gs/adapter.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:29.634506 | from dataclasses import dataclass
import torch
import torch.nn.functional as F
from torch import nn
from einops import rearrange
from .projection import get_world_rays
from .types import Gaussians
def rgb_to_sh(rgb: torch.Tensor) -> torch.Tensor:
c0 = 0.28209479177387814
return (rgb - 0.5) / c0
@dataclass... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.355579 | model_configs = {
"vits": {"encoder": "vits", "features": 64, "out_channels": [48, 96, 192, 384], "layer_idxs": [2, 5, 8, 11]},
"vitb": {"encoder": "vitb", "features": 128, "out_channels": [96, 192, 384, 768], "layer_idxs": [2, 5, 8, 11]},
"vitl": {"encoder": "vitl", "features": 256, "out_channels": [256, 5... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/pe.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.357602 | import torch
import torch.nn as nn
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Any, Optional, Tuple, Dict
acc_dtype = (
torch.bfloat16
if torch.cuda.is_available() and torch.cuda.get_device_capability()[0] >= 8
else (torch.float16 if ... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/convolution.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.358850 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from functools import partial
from typing import Callab... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/perceive_io.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.359789 | from typing import Callable, Optional, Union
import torch
from einops import rearrange
from ...utils.logger import Log
from torch import Tensor, nn
import torch.nn.functional as F
try:
from xformers.ops import memory_efficient_attention, unbind
XFORMERS_AVAILABLE = True
except ImportError:
Log.warn("xForm... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/prompt_models/crossattn.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.524653 | import torch
import torch.nn as nn
from typing import Tuple
from ..perceive_io import LayerScale, MemEffCrossAttention, Mlp
from .utils.pe_utils import PositionEmbeddingRandom
from torch import Tensor
class CrossAttnPromptModel(nn.Module):
def __init__(
self,
transformer_dim: int = 1024,
n... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/implicit_decoder.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.531929 | import enum
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
def exists(val):
return val is not None
def default(val, d):
return val if exists(val) else d
class MLP(nn.Module):
def __init__(self, in_dim, out_dim, hidden_list, output_act='elu'):
super().__in... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/prompt_models/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.532887 | import torch.nn as nn
from .sam import SAMPromptModel
from .selfattn import SelfAttnPromptModel
__all__ = [
"GeneralPromptModel",
"SelfAttnPromptModel",
"SAMPromptModel",
]
class GeneralPromptModel(nn.Module):
def __init__(self, prompt_stage=[3], **kwargs):
super().__init__()
self.pro... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/prompt_models/rope.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.923213 | from typing import Dict, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
acc_dtype = (
torch.bfloat16
if torch.cuda.is_available() and torch.cuda.get_device_capability()[0] >= 8
else (torch.float16 if torch.cuda.is_available() else torch.float32)
)
class PositionGetter:
"""Ge... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/prompt_models/utils/transformer.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.952535 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Tuple, Type
import torch
from einops import rearrange
from ...common import MLPBlock
from .... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/prompt_models/utils/pe_utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.953885 | from typing import Any, Optional, Tuple
import numpy as np
import torch
from torch import nn
class PositionEmbeddingRandom(nn.Module):
"""
Positional encoding using random spatial frequencies.
"""
patch_size = 14
def __init__(self, num_pos_feats: int = 64, scale: Optional[float] = None, image_pe... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/rope.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:30.983422 | from typing import Tuple
import torch
def precompute_freqs_cis_2d(dim: int, height: int, width:int, theta: float = 10000.0, scale=16.0):
# assert H * H == end
# flat_patch_pos = torch.linspace(-1, 1, end) # N = end
x_pos = torch.linspace(0, scale, width)
y_pos = torch.linspace(0, scale, height)
y... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/torchhub/dinov3/dinov3/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.106831 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed in accordance with
# the terms of the DINOv3 License Agreement.
__version__ = "0.0.1"
|
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/torchhub/dinov3/dinov3/checkpointer/checkpointer.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.108424 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed in accordance with
# the terms of the DINOv3 License Agreement.
"""
Suggested file structure:
output_dir/
|-- ckpt/
| |-- 0/
| |-- 99/
| |-- 199/
| |-- 199_keep/
| |-- 299/
| `-- ...
`-- eval/
`-- 0/
... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/torchhub/dinov3/dinov3/checkpointer/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.143517 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed in accordance with
# the terms of the DINOv3 License Agreement.
from .checkpointer import (
CheckpointRetentionPolicy,
cleanup_checkpoint,
find_all_checkpoints,
find_latest_checkpoint,
init_fsdp_model... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/prompt_models/selfattn.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.289656 | from typing import Tuple
import torch
import torch.nn as nn
from ..perceive_io import LayerScale, MemEffAttention, Mlp
from .rope import RotaryPositionEmbedding2D
from .utils.pe_utils import PositionEmbeddingRandom
from torch import Tensor
acc_dtype = (
torch.bfloat16
if torch.cuda.is_available() and torch.cud... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/prompt_models/sam.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.312382 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from typing import Tuple, Type
import torch
from .utils.pe_utils import PositionEmbeddingRandom
from .utils.transformer im... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/torchhub/dinov3/dinov3/configs/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.478935 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed in accordance with
# the terms of the DINOv3 License Agreement.
from .config import (
DinoV3SetupArgs,
apply_scaling_rules_to_cfg,
exit_job,
get_cfg_from_args,
get_default_config,
setup_config,
... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/torchhub/dinov3/dinov3/configs/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.501767 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed in accordance with
# the terms of the DINOv3 License Agreement.
import logging
import math
import os
import pathlib
import sys
from dataclasses import dataclass, field
from datetime import timedelta
from typing import An... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/torchhub/dinov3/dinov3/data/adapters.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.551650 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed in accordance with
# the terms of the DINOv3 License Agreement.
from typing import Any, Optional, Tuple
from torch.utils.data import Dataset
def extend_samples_with_index(dataset_class):
class DatasetWithIndex(dat... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/torchhub/dinov3/dinov3/data/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.552196 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed in accordance with
# the terms of the DINOv3 License Agreement.
from .adapters import DatasetWithEnumeratedTargets
from .augmentations import DataAugmentationDINO
from .collate import collate_data_and_cast
from .loaders ... |
zju3dv/InfiniDepth | https://github.com/zju3dv/InfiniDepth | null | null | null | null | 949 | null | null | apache-2.0 | null | null | null | null | null | null | null | InfiniDepth/model/block/torchhub/dinov3/dinov3/data/augmentations.py | null | null | null | null | null | null | Python | 2026-05-04T02:41:31.584512 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed in accordance with
# the terms of the DINOv3 License Agreement.
import logging
import numpy as np
from torch import nn
from torchvision import transforms
from dinov3.data.transforms import IMAGENET_DEFAULT_MEAN, IMAGEN... |
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