Parents (Total: 27)

The searched file hash is included in 27 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	5837856
MD5	61DA7154C5E34436B09CC56316B7CA8A
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.7.1-7
SHA-1	09C214992CE51BC2CB9D517141E377DAFB3796AF
SHA-256	E23CCCF0338D1F1202BFFC23ADB74EF5F9DB5CAED00FAAF45542D236DBBD5110

Key	Value
FileSize	1040016
MD5	AFF28CC4103E17563DE5FC27D02733AC
PackageDescription	implementation of WebRTC and ORTC aiortc is a library for Web Real-Time Communication (WebRTC) and Object Real-Time Communication (ORTC) in Python. It is built on top of asyncio, Python's standard asynchronous I/O framework. . The API closely follows its JavaScript counterpart while using pythonic constructs: * promises are replaced by coroutines * events are emitted using pyee.EventEmitter . Some uses of aiortc require additional packages: * apprtc access using aiortc.contrib requires python3-http and python3-websockets.
PackageMaintainer	Jonas Smedegaard <dr@jones.dk>
PackageName	python3-aiortc
PackageSection	python
PackageVersion	0.9.28-2
SHA-1	0D47290E5D223CC5488068719B4759FACED6FFCC
SHA-256	68DFC199022C51556F6AA64FC1291C6D2E4C3BCE2DBDD88FE178C8D1DC3D1D41

Key	Value
FileSize	6792
MD5	DFCA06B093EBBE1C66323354E761EF7E
PackageDescription	Python difflib with simpler arguments, and enhanced "No newline at EOF" support Moreorless is a thin wrapper around Python's difflib.unified_diff that Does The Right Thing for "No newline at eof". The arguments used when calling moreorless' functions are simpler than difflib's. Moreorless also supports various other functions such as `patch.apply_single_file` and `click.echo_color_unified_diff`.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-moreorless
PackageSection	python
PackageVersion	0.3.0-2
SHA-1	15760666EFC1478E537E86892F843670EE266756
SHA-256	C29AFE8C007C9E45D3D8FE70C04086F4591D8ACD94596408047F39FB29FE3D87

Key	Value
FileSize	6320740
MD5	74AC228049778FB53D9EB8A21B96D0C7
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	198E3C5D4046E8E1DDCA04CD87B6440E027BB3DC
SHA-256	07957E38F0837C296D42560E83F710C553A00E66CE6ED5DAD58DAEE5D630B76A

Key	Value
FileSize	1041656
MD5	C547A3BA0FD113250B2129A97740FA1C
PackageDescription	implementation of WebRTC and ORTC aiortc is a library for Web Real-Time Communication (WebRTC) and Object Real-Time Communication (ORTC) in Python. It is built on top of asyncio, Python's standard asynchronous I/O framework. . The API closely follows its JavaScript counterpart while using pythonic constructs: * promises are replaced by coroutines * events are emitted using pyee.EventEmitter . Some uses of aiortc require additional packages: * apprtc access using aiortc.contrib requires python3-http and python3-websockets.
PackageMaintainer	Jonas Smedegaard <dr@jones.dk>
PackageName	python3-aiortc
PackageSection	python
PackageVersion	0.9.28-2
SHA-1	1BE83F7590ECCD94104BF03456ADACF143772E0B
SHA-256	A77787BFCCBA196551E5BB331B9DE14E34A9BCFFBD0FF8BBD654CC4320A31933

Key	Value
FileSize	24428
MD5	F0082C535DA940A0FDF56CBA5DD2BFF3
PackageDescription	WebSockets state-machine based protocol implementation (Python3) Pure-Python implementation of a WebSocket protocol stack. It's written from the ground up to be embeddable in whatever program you choose to use, ensuring that you can communicate via WebSockets, as defined in RFC6455, regardless of your programming paradigm. . This is the Python3 package.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python3-wsproto
PackageSection	python
PackageVersion	0.15.0-3
SHA-1	20381BC5DFA448EC38D96AF4C2548AE14A87E587
SHA-256	B41C89E0B9BC4E067C7906C1C1D6043E66D513F02C1294CC90D0CBC0EA15591D

Key	Value
FileSize	1036180
MD5	83BA55B3170CE0DAC567C10F38C7DA8C
PackageDescription	implementation of WebRTC and ORTC aiortc is a library for Web Real-Time Communication (WebRTC) and Object Real-Time Communication (ORTC) in Python. It is built on top of asyncio, Python's standard asynchronous I/O framework. . The API closely follows its JavaScript counterpart while using pythonic constructs: * promises are replaced by coroutines * events are emitted using pyee.EventEmitter . Some uses of aiortc require additional packages: * aiortc.contrib.signaling.ApprtcSignaling() requires python3-http and python3-websockets.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-aiortc
PackageSection	python
PackageVersion	0.9.28-3
SHA-1	20F6F0BFBF39BC77A46CD61F7783376096281CC9
SHA-256	51452C6B5B8230ED4FBB4999916BF7D24A66B488CE9A218C682CCFBCCDAEF98A

Key	Value
FileSize	738696
MD5	C00B60E3A8E82C3204BEDC7CCCDE064E
PackageDescription	Push Notifications that work with just about every platform Allows you to send notifications to more than 70 notification services. With emphasis on: Apprise API, AWS SES, Telegram, Discord, Slack, Amazon SNS, Gotify, Google Chat, Faast, IFTTT, Matrix, Microsoft Teams etc. . There is a small built-in Configuration Manager that can be optionally accessed through your web browser allowing, you to create and save as many configurations as you'd like. Each configuration is differentiated by a unique {KEY} that you decide on.
PackageMaintainer	Debian Python Team <team+python@tracker.debian.org>
PackageName	apprise
PackageSection	misc
PackageVersion	1.2.0-1
SHA-1	3B7D7B163E9552D5F892B0B15C57789F6DB1E2C3
SHA-256	1A937E513643D0D21284F621475EB5B00DBCA46D340153D9A06A1DA55491C74A

Key	Value
FileSize	41532
MD5	96DEC03139A7BC77B9DC5E03249557D0
PackageDescription	framework for building beautiful shells for python3 This is a lightweight framework for building command-line applications with Python. This was originally designed for the "logdevice interactive shell (aka. `ldshell`)" at Facebook. Since then it was factored out to be a reusable component and several internal Facebook projects now rely on it as a quick and easy way to get an intuitive shell/cli application without too much boilerplate.
PackageMaintainer	Debian Python Team <team+python@tracker.debian.org>
PackageName	python3-nubia
PackageSection	python
PackageVersion	0.2b5-2
SHA-1	4DCBBF181B5E3526144E4080C62D2735458889A1
SHA-256	C90F2C52FAC7D857BC0EE3F80D66CECFD35E3C32D77829C6BAF3F640560DBA61

Key	Value
FileSize	5766624
MD5	E2A2D4F5D8E681B6ED27E5142E69BEFA
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	4DD3F63613CF4EDA920B4DB8804AE9C3BE059E0D
SHA-256	E1E4A0B893EF727D5DD89BD52D8C56E9E3BCCE726ADCD25DE4E497A2FF0918AF