Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/wsproto-1.0.0.egg-info/requires.txt |
FileSize | 39 |
MD5 | 3225F5E6046E75A8621FCF4929B78787 |
SHA-1 | 6596A64F3A914E1768F0182FC2190078E3285723 |
SHA-256 | 6D9F21A7FBF73C0EB4E1B73B9270F3E21B25F7035CD50D8800BC676722693684 |
SHA-512 | 351276CC4E17D44D631684E8F586086B13D3ECD077B11AE4D48F24E544667AFC91D2FFE001D4786965D90591ECADB9B447DA93B80D1A5DDE799A7FB9992CBB40 |
SSDEEP | 3:oVgN0X87HL4vCxo:o2N0X87HMvC6 |
TLSH | |
insert-timestamp | 1728203419.4063928 |
mimetype | text/plain |
source | snap:shY22YTZ3RhJJDOj0MfmShTNZTEb1Jiq_36889 |
hashlookup:parent-total | 27 |
hashlookup:trust | 100 |
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 |