Result for 6596A64F3A914E1768F0182FC2190078E3285723

Query result

Key Value
FileNamesnap-hashlookup-import/usr/lib/python3/dist-packages/wsproto-1.0.0.egg-info/requires.txt
FileSize39
MD53225F5E6046E75A8621FCF4929B78787
SHA-16596A64F3A914E1768F0182FC2190078E3285723
SHA-2566D9F21A7FBF73C0EB4E1B73B9270F3E21B25F7035CD50D8800BC676722693684
SHA-512351276CC4E17D44D631684E8F586086B13D3ECD077B11AE4D48F24E544667AFC91D2FFE001D4786965D90591ECADB9B447DA93B80D1A5DDE799A7FB9992CBB40
SSDEEP3:oVgN0X87HL4vCxo:o2N0X87HMvC6
TLSH
insert-timestamp1728203419.4063928
mimetypetext/plain
sourcesnap:shY22YTZ3RhJJDOj0MfmShTNZTEb1Jiq_36889
hashlookup:parent-total27
hashlookup:trust100

Network graph view

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
FileSize5837856
MD561DA7154C5E34436B09CC56316B7CA8A
PackageDescriptionTensors 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).
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNamepython3-torch
PackageSectionpython
PackageVersion1.7.1-7
SHA-109C214992CE51BC2CB9D517141E377DAFB3796AF
SHA-256E23CCCF0338D1F1202BFFC23ADB74EF5F9DB5CAED00FAAF45542D236DBBD5110
Key Value
FileSize1040016
MD5AFF28CC4103E17563DE5FC27D02733AC
PackageDescriptionimplementation 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.
PackageMaintainerJonas Smedegaard <dr@jones.dk>
PackageNamepython3-aiortc
PackageSectionpython
PackageVersion0.9.28-2
SHA-10D47290E5D223CC5488068719B4759FACED6FFCC
SHA-25668DFC199022C51556F6AA64FC1291C6D2E4C3BCE2DBDD88FE178C8D1DC3D1D41
Key Value
FileSize6792
MD5DFCA06B093EBBE1C66323354E761EF7E
PackageDescriptionPython 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`.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-moreorless
PackageSectionpython
PackageVersion0.3.0-2
SHA-115760666EFC1478E537E86892F843670EE266756
SHA-256C29AFE8C007C9E45D3D8FE70C04086F4591D8ACD94596408047F39FB29FE3D87
Key Value
FileSize6320740
MD574AC228049778FB53D9EB8A21B96D0C7
PackageDescriptionTensors 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).
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNamepython3-torch
PackageSectionpython
PackageVersion1.8.1-2
SHA-1198E3C5D4046E8E1DDCA04CD87B6440E027BB3DC
SHA-25607957E38F0837C296D42560E83F710C553A00E66CE6ED5DAD58DAEE5D630B76A
Key Value
FileSize1041656
MD5C547A3BA0FD113250B2129A97740FA1C
PackageDescriptionimplementation 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.
PackageMaintainerJonas Smedegaard <dr@jones.dk>
PackageNamepython3-aiortc
PackageSectionpython
PackageVersion0.9.28-2
SHA-11BE83F7590ECCD94104BF03456ADACF143772E0B
SHA-256A77787BFCCBA196551E5BB331B9DE14E34A9BCFFBD0FF8BBD654CC4320A31933
Key Value
FileSize24428
MD5F0082C535DA940A0FDF56CBA5DD2BFF3
PackageDescriptionWebSockets 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.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython3-wsproto
PackageSectionpython
PackageVersion0.15.0-3
SHA-120381BC5DFA448EC38D96AF4C2548AE14A87E587
SHA-256B41C89E0B9BC4E067C7906C1C1D6043E66D513F02C1294CC90D0CBC0EA15591D
Key Value
FileSize1036180
MD583BA55B3170CE0DAC567C10F38C7DA8C
PackageDescriptionimplementation 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-aiortc
PackageSectionpython
PackageVersion0.9.28-3
SHA-120F6F0BFBF39BC77A46CD61F7783376096281CC9
SHA-25651452C6B5B8230ED4FBB4999916BF7D24A66B488CE9A218C682CCFBCCDAEF98A
Key Value
FileSize738696
MD5C00B60E3A8E82C3204BEDC7CCCDE064E
PackageDescriptionPush 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.
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNameapprise
PackageSectionmisc
PackageVersion1.2.0-1
SHA-13B7D7B163E9552D5F892B0B15C57789F6DB1E2C3
SHA-2561A937E513643D0D21284F621475EB5B00DBCA46D340153D9A06A1DA55491C74A
Key Value
FileSize41532
MD596DEC03139A7BC77B9DC5E03249557D0
PackageDescriptionframework 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.
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython3-nubia
PackageSectionpython
PackageVersion0.2b5-2
SHA-14DCBBF181B5E3526144E4080C62D2735458889A1
SHA-256C90F2C52FAC7D857BC0EE3F80D66CECFD35E3C32D77829C6BAF3F640560DBA61
Key Value
FileSize5766624
MD5E2A2D4F5D8E681B6ED27E5142E69BEFA
PackageDescriptionTensors 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).
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNamepython3-torch
PackageSectionpython
PackageVersion1.8.1-2
SHA-14DD3F63613CF4EDA920B4DB8804AE9C3BE059E0D
SHA-256E1E4A0B893EF727D5DD89BD52D8C56E9E3BCCE726ADCD25DE4E497A2FF0918AF