Python projection of Windows Runtime (WinRT) APIs
Project description
winrt-Windows.AI.MachineLearning.Preview
Windows Runtime (WinRT) APIs for for the Windows.AI.MachineLearning.Preview
namespace.
This package provides the winrt.windows.ai.machinelearning.preview
module.
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Hashes for winrt_windows_ai_machinelearning_preview-2.2.0.tar.gz
Algorithm | Hash digest | |
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MD5 | 0a5bcc780e10cc1c2d8d22cbfe6b14b7 |
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BLAKE2b-256 | e65101f2e164f54f972ca8a390be6e34ebb7f5bda48638026b074db6813d576d |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp313-cp313-win_arm64.whl
Algorithm | Hash digest | |
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SHA256 | 1a8280e410ec9cbb2030b71d4442cb3e532a53726ca4c250e92d846df87f90f4 |
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MD5 | 41c312443e694b15cf9314e3de0e9c2e |
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BLAKE2b-256 | 1bcea97d6e021ddb6ab1698afc162240899b42762349f3bc5dd0dddcd6335e09 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp313-cp313-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | cce051f4c2993c73cdcce02135e9113845208fee1f06df8339f566218d9d0558 |
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MD5 | 7dff7c5420758ec9f39831ce2e77c244 |
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BLAKE2b-256 | c98689b41352153bdcd0b961ab3858b0a62574b0e6ebcbb3cafb89aa51c9dfcf |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp313-cp313-win32.whl
Algorithm | Hash digest | |
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SHA256 | 69001841c268a2508ee9c5c8899cc5e83165c41d97ac83032176e4d9ec566cbb |
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MD5 | 4342169e3a8c211781175056f6523f7c |
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BLAKE2b-256 | 01ea91c305279ea6611a8dc760fe4002edec74349dbe32bc4631b51d43fbbc00 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp312-cp312-win_arm64.whl
Algorithm | Hash digest | |
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SHA256 | 04153f4a036a0b8b22c30d35c2dd33717bcba207de91340553004df49437cfbc |
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MD5 | 9181eadea2eeb3f82e85006f4e87e85d |
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BLAKE2b-256 | 9d197b4abec624cf95535a55d3ec4e9d41c5f9e1063eb0d79360be3958804682 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp312-cp312-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | f5c030586baa15a4946efdd6dc6a9cd4e7df42eb014f77c5bbbb01f42b50d2bf |
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MD5 | 322c730790548bd557c5bf232f7abf25 |
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BLAKE2b-256 | faf4c8ddac1962d47bf4f4e21c72e2b4bccde137242db674dc8a5d9f10bc1488 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp312-cp312-win32.whl
Algorithm | Hash digest | |
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SHA256 | 5a6990b0ae5bb94567a36564173697611a160929efbf9d4e944aafd795e5405a |
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MD5 | af59773ba92d8c8829923c445ee67f4e |
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BLAKE2b-256 | 1dc68007126b1877ef21194a4ac1ca0210df1ec9d4a85443f547b1a54bf18576 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp311-cp311-win_arm64.whl
Algorithm | Hash digest | |
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SHA256 | 3c2702869021086db6c5750c8f3504516da63a914d850c17aaea54c407716a21 |
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MD5 | c23098bfcc49747bfaf9ee982bf30a10 |
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BLAKE2b-256 | 304e2479239e6f969252c5c4da611c99fa60ebf3411f6768a63bd65e46fefb25 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp311-cp311-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | eb7ddcb1112c45e59860a5618124d72df87149ecc815568c6cf5af666cfd2825 |
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MD5 | 7ebdb272140ebf7ce64132a29a763070 |
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BLAKE2b-256 | 4ef418813956746f9f5fd52e6fc94360e728dd18bf712370c499e08d2ea25ba2 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp311-cp311-win32.whl
Algorithm | Hash digest | |
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SHA256 | 94283595f0ca79ab0b8dd447964b000d8bed723eb1e446a4a1014a7e6ae0ed90 |
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MD5 | df17b87803949f22c9d7440d938ef449 |
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BLAKE2b-256 | 69c1c3fea5d28223785cc2150fa5fa9bddd2a04399e1b6b2070e22a9b23e24d4 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp310-cp310-win_arm64.whl
Algorithm | Hash digest | |
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SHA256 | b5e64030000c9d291597664af47e83209727c99981fa7004c976e581d1267b88 |
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MD5 | e0597de975318ba223b23133bb68c444 |
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BLAKE2b-256 | f451fa37cde6311377dc21552438fbe88c06852b494f6779951950cb702a5344 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp310-cp310-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | 75abb5137ac4430d8943ba8662342de1e2e5c7e97dcf0c7476f55b744b9c497f |
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MD5 | 738be9fc1e624da7b77657f9fef62cd1 |
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BLAKE2b-256 | 48b781719836a92fcb5c5bd383cf3d82137bdcd5f27ebea2da3e1fa80b0d1a74 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp310-cp310-win32.whl
Algorithm | Hash digest | |
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SHA256 | fd402c2e61553e6c4d5e447b9e2c67a2b57a8da80a92cd003a52b0c5022122c9 |
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MD5 | 311052c1ee5eee2be868b8c33a903495 |
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BLAKE2b-256 | 2f85a2966c07aebf47ba13039119df63ccee1c800d944efedbd355e1a50a4dd1 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp39-cp39-win_arm64.whl
Algorithm | Hash digest | |
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SHA256 | 1b4d9dd45b6e0d0515cb00f5345f79e4db39c90b6359f24f74fdd9d2aca3fa4f |
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MD5 | c28288ef412cd2a16a6257f53fb26c59 |
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BLAKE2b-256 | de023451f3a2661ea01fd6d80e6b494f1e8da7f3f2569f0a39d1ff79c82997e0 |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp39-cp39-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | 21e07d1959e428dea3e050690f6e3acd58e8e409dfa20e1cd72deb8d02986807 |
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MD5 | a0195be04d3afe7db47267ae4065c969 |
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BLAKE2b-256 | b396ee0362003985c874f59c908ab2bf57bca19660e6e211488ca2c2aa53cccc |
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Hashes for winrt_Windows.AI.MachineLearning.Preview-2.2.0-cp39-cp39-win32.whl
Algorithm | Hash digest | |
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SHA256 | dd69b80aeab35bc7f6caee5a3018d819de9f002cde0fd1edcbdfffb5f38800fa |
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MD5 | 64a509d9e9be095443d17bd2fc6bdfd9 |
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BLAKE2b-256 | b879fba41828e6826c1c11e144eb3affd7f865a2cdfe83bb3c7c99c748c51b7a |