deepsuite/README.md,sha256=ma6mjo5mxJ6JGFgKzIVgkKyYNaEOSBWMImD9YoQaLUY,6588
deepsuite/__init__.py,sha256=8fWZ9xpfd6SHXGnIPmIEuzc6bsjzMuXP2_AY_FUvPto,1513
deepsuite/registry.py,sha256=cuRVOv-qBTQWRuqoA6alkU6WTgvlq4VZWCBB6cVYR3Y,1545
deepsuite/typing.py,sha256=vMX-Y0IVrFtskupTmjdnKL72VmMBbluxrmXOAEztOlg,537
deepsuite/callbacks/README.md,sha256=p13R6RucOTAd5spaauZtPMPeZovkeA9qpE57Nb5qYis,1676
deepsuite/callbacks/__init__.py,sha256=DFZnR_UgbqUxtPKULBRrBfLUUC2I_fmGSRTUTm7P7ZQ,475
deepsuite/callbacks/base.py,sha256=saa8M1JW5ET4PzNnnSdOy9m2l15Ru85WgqZyZ895obg,3943
deepsuite/callbacks/embedding_logger.py,sha256=lBXmxMXJKd9Z4TcMe4zqpA-qgeu0kEUE4304MAVPhr0,3866
deepsuite/callbacks/kendryte.py,sha256=l2cz2NF8620EqLuI4aI37k1aJb0OhoJB1MhdGqza5c8,4701
deepsuite/callbacks/onnx.py,sha256=SFCq_wgcixiFOwKtWuGe38KvM2yBipuG7angt2Kh4Ag,4448
deepsuite/callbacks/tensor_rt.py,sha256=MX9JiD5DBLUWp5ujHU-VFIz927xdbd6Wcju279aQt1s,7197
deepsuite/callbacks/tflite.py,sha256=NF5uM5PmRKrKZrkVyrrMufk9QK0nCAS-mC9rdm8rmf4,2989
deepsuite/callbacks/torchscript.py,sha256=2jcLgdoHXp7YLCAQ-gd7ivmd5yXvhVIyeOi3JVqMeMg,4163
deepsuite/callbacks/tsne_laplace_callback.py,sha256=cW_wJ25Oj651RhDh85t1gLUrlO5iMnyVDlIIxJZ7luk,2781
deepsuite/config/__init__.py,sha256=Dr6usNygAB7yZhGlsf0H7F9RRJ_wxkN_qjsqZHXhI_0,21
deepsuite/config/config_manager.py,sha256=0JpauaufsEhpdj5n40RFKcj1HmVKTih0e1NaN3M4x-M,2170
deepsuite/heads/README.md,sha256=kMbi671yZM2hSdk40JnrZaFAp51s6oeg7bddjQmkt4c,2590
deepsuite/heads/__init__.py,sha256=DOTmBTFD9nTWKGzv3jIoTcuUdBXUrVqkBEzcJPZg-BE,148
deepsuite/heads/box.py,sha256=Wy7SvJIFcXe2b9YWqpSi0nh_An1_0jrypXI0EYeKXEM,1329
deepsuite/heads/centernet.py,sha256=STSJkQ7WeA6TLlTlp2WF7zNug7qqdnwAXCqEGoi5YEg,1624
deepsuite/heads/classification.py,sha256=Or-XtyPSh6FhErxU3XgcKiMmpTxMps3BOpRXjzwjGxA,420
deepsuite/heads/heatmap.py,sha256=mo8yfBPTlHfFyyw3aDn5TwgToK1VoQxhGuctGW_Tgpo,886
deepsuite/heads/language_modeling.py,sha256=H0NPXXZvXiB5Z4-6RyHotz9TcHMHOwTYWWK4FZSmDJ8,10812
deepsuite/layers/README.md,sha256=Y1GQwMgF82UYc6xss3D7b5rmnc8rLf3253V2wC5qrRE,3367
deepsuite/layers/__init__.py,sha256=rnC-KSxq4ztsX8KUGWF8hfY2hPUcj2J2cgVFPnqxvh0,544
deepsuite/layers/bottleneck.py,sha256=NvBPPp1QzRVla2vJOB6zvG9G38t_j3ozEVGx-AnSk2Y,4993
deepsuite/layers/complex.py,sha256=yHcZKsEJV2HpRdbZoVC0a_83hhIdIAc1HX62Lrw-Tfg,2780
deepsuite/layers/dft.py,sha256=6rveQ65TXhuh7Je4FpOqSTHgtJXmHmxJnfzFUaE4nv4,3786
deepsuite/layers/hermite.py,sha256=ue8uLPgfNwz48erdqTTsWqm7eBZGqPQPZZ0qWyEO0_c,2870
deepsuite/layers/laguerre.py,sha256=kqrSvC6axsc_hiDwaje6NgXuQNtWWuoNvzqSxzA7oBw,2880
deepsuite/layers/moe.py,sha256=GYZ6lBv9EvAI8nNKrfXehAyIlLQBy844gHgHps38--o,16800
deepsuite/layers/attention/__init__.py,sha256=GRqdIsqbsEihufscw8pE7A_9B9PR1upBy_z8KAv6LSc,354
deepsuite/layers/attention/kv_compression.py,sha256=7tD7ztWUSm4_Sp-X7x0y1q2drUy71ccUaLb7efL_OvI,5990
deepsuite/layers/attention/mla.py,sha256=JaFrfNzdAzHMW-gn72wHczoYAuXXQ5OUdrfh2xBKVZo,9460
deepsuite/layers/attention/rope.py,sha256=jmM_gn3Ccq4Zy-l6NADgPl_WBx0_MPgXfaEG84_ycF0,4585
deepsuite/lightning_base/README.md,sha256=MtSUGtS6WE1RQlgqVJpLrVPtGkKQeG0VnQP5WlCyWyE,5450
deepsuite/lightning_base/__init__.py,sha256=Mup1Taetk9M6f5YjrpV2PDjNGW9TSxJWq5ViVzeosxk,277
deepsuite/lightning_base/continual_learning_manager.py,sha256=6n9ip9RerIgA-Ubds-FhuMAY1LZrafUm4TMHvg-rasM,3307
deepsuite/lightning_base/module.py,sha256=CK75GCqXcxIDsbXmEyrpyTFzt5hJkYpwWDs2fFEV28c,13279
deepsuite/lightning_base/trainer.py,sha256=QlJVI5ZH7P8hQqy-i_7BasFmj-JYhciPVmxwLc0e1yY,8416
deepsuite/lightning_base/dataset/__init__.py,sha256=Wj8Jndit67vz-f4hhXNZM7-5bguqjPKZMno_2X9GB9g,257
deepsuite/lightning_base/dataset/audio_loader.py,sha256=YbdHnsYypDZSPxB1qOo9lKm-5lgGoiVMZZEAUAURgPI,1538
deepsuite/lightning_base/dataset/base_loader.py,sha256=WVwt4SofQ50hH0Y2Awc6PTqDVbnejPHvHWVFanX2dd4,1401
deepsuite/lightning_base/dataset/image_loader.py,sha256=zGcUj91KrPmmr56c7CpTYw3POtwJ5vXIjc8J44MofRo,2262
deepsuite/lightning_base/dataset/text_loader.py,sha256=z9iVcQxBiawfp9J98NWhGFzhp1LSSEPpJIDK2tXHOus,12062
deepsuite/lightning_base/dataset/universal_set.py,sha256=rNKk-BmM4jy7ch12uZA0fqZp3Twzex6QH6cFXoZHjlI,546
deepsuite/loss/README.md,sha256=_KW32wyLKqhN4XYDZnpp4P_x3CVrbJNTx9FxEV7FKcc,5042
deepsuite/loss/__init__.py,sha256=JCp0zvsM5TiqQam1tynxSG4r7IN41a0Jkb0O9iXvHp0,1879
deepsuite/loss/bbox.py,sha256=KTxAn8145y6IU2E-yLo8k0Z3pWvN078HxH6_XH7Kb1E,7929
deepsuite/loss/centernet.py,sha256=bzqtJePympGuC6Av0SN30AjYwgEgrhywqJIEmEETUVY,969
deepsuite/loss/classification.py,sha256=hoimzpPK9MsI0YFn9f_WCHZpd-Zy_34K3tdHd8w1BLo,1525
deepsuite/loss/detection.py,sha256=3oI-nERw6RRuc_tpixDJoYRsmUmrM5wAFhxI1ZiH2qs,7473
deepsuite/loss/dfl.py,sha256=wVUUIDXAw385brRr2vzBhkuq-LCgmH-WnrwG_pUFXJo,4574
deepsuite/loss/distill.py,sha256=U4RzRNu-hzM9Sg191UY1ohXKqf0fPeGDCWIxdxSYgCI,734
deepsuite/loss/focal.py,sha256=K4v31DQMB1zkMSFMYH7rywmwsNnTVAjh7reZlgJxiDc,8451
deepsuite/loss/heat.py,sha256=PRRTdXh5PbNIwhrJo8uU5-pWiXuN5ch0VjPTPGfdTNo,831
deepsuite/loss/keypoint.py,sha256=5sKVlBWgnprF2NTt7aZByEBKZHylDN7Nmd77mIwdDjA,2254
deepsuite/loss/language_modeling.py,sha256=eXdDn4lbyAz-fPAny3rXqsEuhYa5nTJ01MQ_7zYIl9U,11056
deepsuite/loss/lwf.py,sha256=_kfxvriUfOr1uRVOdzM-ihZl1F3rRZnIq3w68QsH0ZU,708
deepsuite/loss/mel.py,sha256=nRl_HaSTIPxxukhtWX8V8eIHGhAMtMVDVn3yeRZFkpk,1890
deepsuite/loss/rmse.py,sha256=dOn5s6gaKVBuNDx19FkhqQ9AgNItUsGkgovUME5uz8M,1558
deepsuite/loss/segmentation.py,sha256=oxtwNKZErPYLUCtC7zNR6xfjRgpcX-0BDCvCs1imNr0,9874
deepsuite/loss/snr.py,sha256=1HP0T0Lwq7AE_g6ZqkfvOqXCrL8S1ExRaWkoCxdF2SE,2886
deepsuite/loss/varifocal.py,sha256=vXbNs8ncGsWrCkV79DBDEsBmjxWeitT_0V1iBI_AOi4,5233
deepsuite/metric/README.md,sha256=8EaspJg1Z7mhwmBzQaZtHzSa-Mv-INH6__bqKVVhQ_g,5695
deepsuite/metric/__init__.py,sha256=Dr6usNygAB7yZhGlsf0H7F9RRJ_wxkN_qjsqZHXhI_0,21
deepsuite/metric/bbox_iou.py,sha256=PILHMt1vvJciFsB2n8D9htDsXSZeu-vxi102NBGyzeM,7302
deepsuite/metric/confidence_matrix.py,sha256=Zad9yotutBjfz5HVBHPBxcX8YSw8RckQLikwjr8aidQ,742
deepsuite/metric/detection.py,sha256=wUowyEfg9-QNp9SnDZgVimgStiujwtDWIwpNwobAHaI,2556
deepsuite/metric/image_quality.py,sha256=Z8h606sYEfJyM0kmu_o0dOXeIUPMeLkujKEGiZtU6hY,4525
deepsuite/metric/map.py,sha256=l2xj7v-vd-ECfBGoxhAkOkqhC5vqxEUQhCHOIFVGlII,1567
deepsuite/metric/norm.py,sha256=xj4VwvMnmabczQxT3LrYKOLAbYMEo3tEQ8AjVYZqSh8,842
deepsuite/metric/probiou.py,sha256=bSKu2Twc9zWEQ5AmzmcvE3RZ2knP5gWXhKd3QtSd5pE,1988
deepsuite/model/README.md,sha256=FlxH5oAKnzXl6vuaULyzyPUYK6g5ElnflC-tsIFbLVY,7042
deepsuite/model/__init__.py,sha256=_L-Mg3WID52NZnUAdUsOjwgF04kySBXd5T3KUKuhjN0,423
deepsuite/model/autoencoder.py,sha256=17EUUbaqjw_gEQOl_M3udV377Wgx3kYOXDFY8X7laxQ,5446
deepsuite/model/backend_adapter.py,sha256=kCcFzHvWIjy0G4PIX2DgjBQZWZKSraN-wmaagIoUpFA,2401
deepsuite/model/complex.py,sha256=67VbtZtlHua-tMorh41pTZycF87go6prddwx-U22HRI,1718
deepsuite/model/conv.py,sha256=obaZWzVYaVUs6I4lduM9f5UxdTtf7iooryTL1voMwMU,18665
deepsuite/model/discriminator.py,sha256=QunFsHmGnpZdHeWoOmZMb3fH0rUxnYm66muF-2yDgao,4501
deepsuite/model/doa.py,sha256=FFUo2iQqN9AYrcBhhUVNiRx113gQCY3_0Oi5aYGASmc,1499
deepsuite/model/polynomial.py,sha256=lPU3gUi3iqXSzEnmalVzP9hMtsTgWWbmTMdIYRoZKIg,8422
deepsuite/model/residual.py,sha256=QkMNxiDJrI6mf9uJ2oxArgBwyjOgr1V24mGdONZDDsY,2220
deepsuite/model/rnn.py,sha256=ApoPwlLMquqbHZGacb-yjB4jV-7x7WSy2RzmR_nwZQ4,3488
deepsuite/model/siamese.py,sha256=Ub4sDy30JbDaaimwiwVb0LWcb88d2FVM4BzifFl4YLI,5222
deepsuite/model/stn.py,sha256=ttN1_YgtpRBk6tjW5JUW5xpgbjARLxJjJ6H7D_m3A_Q,2132
deepsuite/model/tracking.py,sha256=e2GC9FavjW7zBqvbQLNfQXuilKA-GzFAPt3cVO1GOpg,2011
deepsuite/model/unet.py,sha256=g68duRLoB58Ka7LjVvJHxhtq32LKhGFr8GZsosPRAIc,16978
deepsuite/model/beamforming/__init__.py,sha256=Dr6usNygAB7yZhGlsf0H7F9RRJ_wxkN_qjsqZHXhI_0,21
deepsuite/model/beamforming/beamforming.py,sha256=dW8dgba-CwVM2LRQ7SiLtW-iNSy9Lzpq8im9NwT2Jjg,673
deepsuite/model/detection/__init__.py,sha256=Dr6usNygAB7yZhGlsf0H7F9RRJ_wxkN_qjsqZHXhI_0,21
deepsuite/model/detection/centernet.py,sha256=LOz4wdh10cEXhj9zb8i2-cbcHteMeEYuI9KEL-fZBoA,10500
deepsuite/model/detection/darknet.py,sha256=44R_MdIRgA16b4IxPkp92tl8FXG5VtBdI0pNFnCjkf4,563
deepsuite/model/detection/detection.py,sha256=MQYb1i9qc7zt49k2e5lFJiKFb2Kvj-8KGNuYsOeNKg8,4779
deepsuite/model/detection/efficient.py,sha256=CSjpbpabWDZ3kw0sKVbAZTCKi12U2VDLLS3gFOXJa6Q,6099
deepsuite/model/detection/head.py,sha256=LBvJSuM_dWF10duxxYfzjSB5YLMQaalmjgKLA0FZN_U,475
deepsuite/model/detection/mobile.py,sha256=zayDLEzbAnbcSNL_FtXw-kjSMXyH6pYaBruTPG7VN-Y,10067
deepsuite/model/detection/resnet.py,sha256=f80NluSyPhPETWK83ibBu5Aq5UqlksNv93vJZTusirY,4998
deepsuite/model/detection/yolo.py,sha256=okzVbRpkjalG-NVO7E3LhsueYOS8ZzOAgQG7_BrjMQ4,8015
deepsuite/model/feature/__init__.py,sha256=Dr6usNygAB7yZhGlsf0H7F9RRJ_wxkN_qjsqZHXhI_0,21
deepsuite/model/feature/darknet.py,sha256=I-qzKkTGr6HPKIYa4MNRM_ex6SWxzLrEYfu608SKdQU,3161
deepsuite/model/feature/efficientnet.py,sha256=JQPoetXo3Tjo1zwiOJCSuEbL-OQFI45pKR87ui5RTiU,9324
deepsuite/model/feature/fpn.py,sha256=OESnKVDSg_p97GZmj-yQziUNagNrltAZwROFvoaefUk,1153
deepsuite/model/feature/mobile.py,sha256=kOT31KcvY_iYy2Ck_-AcciojQ-A6oFQ6XcEA2JEGwYY,6568
deepsuite/model/feature/resnet.py,sha256=mml9cw_DKK-kEBbKbj51UI1VU6Sx1XJx3sEizNz2Ges,4172
deepsuite/model/feature/wavenet.py,sha256=jQDRxF_yZR2RwFgFviEbqkqpzUWXPZUiK4m6HTr0Mi0,19802
deepsuite/model/feature/yolo.py,sha256=a7v2iNuqv3_o3XWLhTlkOVtNJnP6U_xK_O01qmj4aaM,5632
deepsuite/model/llm/__init__.py,sha256=BCvw9oas7LlZz-aYvZ5OIwlJyzW9921AKmV4XWrehnU,472
deepsuite/model/llm/centernet.py,sha256=eEEnUvPANmNtllRFRpllCHKpyL_pvCOgIjPp2g_RAyA,2470
deepsuite/model/llm/deepseek.py,sha256=gRlCS0ne5BvVVSehL6PaDPDq6kC7DcfxMBKUa0F1q3A,19176
deepsuite/model/llm/gpt.py,sha256=o7YxfpersJ01XMrVZk_xWSXVzsVLiiJQTDhXG-vwUa8,19280
deepsuite/model/loftr/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepsuite/model/loftr/coarse_matching.py,sha256=2LrsBBGHQuUdNZ10mAo361WDFcxxblXSsr42AhGZz6s,9960
deepsuite/model/loftr/encoder_layer.py,sha256=Km1YysppRYbEa1lL_ij5WRTB0LiGWAjdL8Jm7P2agos,1805
deepsuite/model/loftr/fine_matching.py,sha256=b5WXWtQEnT0TaP-eENNa3vj4kRlextFake0wGZVJJ_A,4376
deepsuite/model/loftr/fine_preprocess.py,sha256=VmPUvkjnSCiGkCraoUvlDwDkxum8wgIpU-RE39YIUio,3136
deepsuite/model/loftr/full_attention.py,sha256=LMDW7Pz0mc76FZTS5CSY1SYtNhIY9Lj8DxamQwHxZbI,1259
deepsuite/model/loftr/linear_attention.py,sha256=Nhgh9h8XScMd_AQjFy_D_q8Uzpp8d5tMQ2061caUPu4,1371
deepsuite/model/loftr/loftr.py,sha256=qbdZ22FxHwc9TsT4dIx0OmGs7BsbAW34zKXnC1qpXpc,8329
deepsuite/model/loftr/position_encoding.py,sha256=OKZwASpbc38jeZV5n5ZOURqty4E3ZpL8Flj8F84wiP8,1652
deepsuite/model/loftr/resnet_fpn.py,sha256=zETQP80m25oc6UeNKb3DN3utCSR_kSrpi7X8ET7FrTM,1072
deepsuite/model/loftr/transformer.py,sha256=g_gjoyr4TRCEpNFMvDRIksL7t_ewrQLXHWmzzPRQTJ8,1475
deepsuite/model/tracking/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepsuite/model/tracking/tracking.py,sha256=4vzwM5UnxCM4RZFbLEiwv3sR9_5H9LUu8YGth2a5450,4115
deepsuite/svm/__init__.py,sha256=Dr6usNygAB7yZhGlsf0H7F9RRJ_wxkN_qjsqZHXhI_0,21
deepsuite/svm/kernels.py,sha256=pJrUi0oymn8IcirU4MCNcLO_W5Ujte8QZ6VOEHWARYA,6211
deepsuite/svm/svm.py,sha256=wfI9lnc8zLgvRyHgAkuqawCFDKI2BzawDfEdpII1SeU,4662
deepsuite/tracker/README.md,sha256=ZglxiP_fmqPHAupg57dprXIBwE4RFBMQeGLsTUaU-vg,6153
deepsuite/tracker/__init__.py,sha256=Dr6usNygAB7yZhGlsf0H7F9RRJ_wxkN_qjsqZHXhI_0,21
deepsuite/tracker/inference.py,sha256=xTnC3XKo_odOV-glmY6Fze4IRNmEjC4BBnq4dwFhVhA,1370
deepsuite/tracker/reid_encoder.py,sha256=w6iIRP_qkpU-RaHu3D5V8VNvZCwR-Pwv7QUI6EBwis4,1503
deepsuite/tracker/rnn_tracker.py,sha256=RJG1msATtj4DZMVxMJ33nJT3Gq5vMZ41a8bkf0xtnAI,668
deepsuite/tracker/tracker.py,sha256=oRzfC-KqlYpGa7_JI1arWGmQlP-WGA1454_YGmxg-0w,15798
deepsuite/tracker/tracker_manager.py,sha256=YJDzcYHxvzcN-gqAAHnhOcciFgrg_52gZlUdGmSCVTk,6941
deepsuite/utils/README.md,sha256=jWesggTNGP_KQJG2_ls84O0r4H4WiAODr7bw_2tVu3c,7674
deepsuite/utils/__init__.py,sha256=Dr6usNygAB7yZhGlsf0H7F9RRJ_wxkN_qjsqZHXhI_0,21
deepsuite/utils/anchor.py,sha256=VW7kVQ7FBdL85JmZ2BW5woMg_0_Wc9r-58csWWJ9D6M,882
deepsuite/utils/array_calibration.py,sha256=pRdemhHTj_SI6mzEzvn8N2MIt2Y4T3HpbT_g4jOCmA8,3484
deepsuite/utils/autocast.py,sha256=4RHC9jeM6FmUBttRQtSpeQFW0x7yXRwX-N2VI9LG-qk,247
deepsuite/utils/bbox.py,sha256=EYkPCETjZFIemgMqzPyU4__OaSnF-Zy-C2_OIpZVXQk,682
deepsuite/utils/complex.py,sha256=O2BypswLn5ct--SO1hLYKxZ3vTGY2IRpeIqe8H5wY4g,376
deepsuite/utils/device.py,sha256=HVhktqNOc4FY3yhjPoNezHK4nNClOXV-G30er5P3-fY,1391
deepsuite/utils/head_expansion.py,sha256=2yzpA6E6OcuborZUa51ibDaVIuWFT972o4zGpjIcw1I,602
deepsuite/utils/hermite.py,sha256=vPsgDaD8XO5rmc9CSUvU72RZ4qjLJtK1QMQsH7vZjGc,1761
deepsuite/utils/hw.py,sha256=-9q6aeo2CMDRw3kLREwCmnM75mld_FpR_KqWbQsgE_Q,3752
deepsuite/utils/image.py,sha256=FXPJ6cFPn6Zj5SVoOAiqHhXlEvEW9LLcVfrWYVJTCXs,776
deepsuite/utils/laguerre.py,sha256=BJrPzDZmoc6Ds_gPZvwwuWRm_kgVzk-ocd64dMSuyus,1765
deepsuite/utils/rnn.py,sha256=JoTkkXuv7qJ31bZjOr3D7NBCDJQvjMGXmzwF_yQUBv0,1018
deepsuite/utils/search_space.py,sha256=eluJ2VoS9bAwNRalpuDgqSPnLKEvtBtQKLwRbIUtWGA,487
deepsuite/utils/summery.py,sha256=GsoXfaXZm8Xmit_uthoaFN-tKXCZasDpqHfdLppHmCE,305
deepsuite/utils/taskAlignedAssigner.py,sha256=i3y6N6Q3652Fb6H4tGJflZv4jRj_yKgkqcUabtpdq1U,15488
deepsuite/utils/teacher.py,sha256=FAzjTsR9o3RZaeHdZCH5Gh1MOKByJhoRGvHRJZ_nxaw,2434
deepsuite/utils/tensor.py,sha256=gxoL-KFP6HpANgF71QWvL_J4RTSrqEt8JqOs3oGyUus,827
deepsuite/utils/tsignal.py,sha256=-BlGLed1WbK-JQPeixwt4g1R9L07kYXC4EzJxGYhQjI,5548
deepsuite/utils/xy.py,sha256=9dVRgATFOGGuGSnq0Cv1JJXtSPgZ-PJtP3WtY69W0gY,2226
deepsuite/viz/README.md,sha256=d2UqDJp18BD49kh03aHkzb-F9f54vOv4Zg7JxMt_kwo,5876
deepsuite/viz/__init__.py,sha256=Dr6usNygAB7yZhGlsf0H7F9RRJ_wxkN_qjsqZHXhI_0,21
deepsuite/viz/embedding.py,sha256=BzRUYmmgbA_fabQFoueAR1NEd8Gx3uYWjY-huo_3V6M,1656
deepsuite-1.0.2.dist-info/METADATA,sha256=myFEDxHJ8OXr7iLDMCO4eeo31o9P6yjvQ5UkiQG3wfY,13726
deepsuite-1.0.2.dist-info/WHEEL,sha256=WLgqFyCfm_KASv4WHyYy0P3pM_m7J5L9k2skdKLirC8,87
deepsuite-1.0.2.dist-info/licenses/LICENSE,sha256=JFeOuClAWYGHZNyL8kONSsXk49t_X3Z9djodsL6vezY,10585
deepsuite-1.0.2.dist-info/RECORD,,
