Wheelodex » Projects » batchflow

batchflow

View on PyPI — Reverse Dependencies (0)

0.8.10 batchflow-0.8.10-py3-none-any.whl

Wheel Details

Project: batchflow
Version: 0.8.10
Filename: batchflow-0.8.10-py3-none-any.whl
Download: [link]
Size: 395940
MD5: 609777e6e3898c33598ebaedf8b94233
SHA256: 736d3f1f9c9ff25c3e14689d5e7c8a645fbcbd8c429581eaf34b154ce443803d
Uploaded: 2024-10-29 09:43:36 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: batchflow
Version: 0.8.10
Summary: ML pipelines, model configuration and batch management
Author: Roman Kh
Author-Email: rhudor[at]gmail.com
Project-Url: Documentation, https://analysiscenter.github.io/batchflow/
License: Apache-2.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.8,<4.0
Requires-Dist: dill (<0.4,>=0.3)
Requires-Dist: einops (<0.4,>=0.3); extra == "nn"
Requires-Dist: ipykernel; extra == "jupyter"
Requires-Dist: ipython; extra == "jupyter"
Requires-Dist: jupyter_client; extra == "jupyter"
Requires-Dist: jupyter_server; extra == "jupyter"
Requires-Dist: llvmlite
Requires-Dist: matplotlib (<4.0,>=3.7); extra == "image" or extra == "profile" or extra == "jupyter" or extra == "research"
Requires-Dist: multiprocess (<0.71,>=0.70); extra == "research"
Requires-Dist: nbconvert; extra == "jupyter"
Requires-Dist: nbformat; extra == "jupyter"
Requires-Dist: notebook; extra == "jupyter"
Requires-Dist: numba (>=0.56)
Requires-Dist: numpy (<2.0,>=1.18)
Requires-Dist: nvidia_smi; extra == "profile"
Requires-Dist: pandas (<0.25,>=0.24); extra == "profile" or extra == "dev" or extra == "research"
Requires-Dist: pillow (<11.0,>=9.4); extra == "image"
Requires-Dist: psutil; extra == "nn" or extra == "profile" or extra == "research"
Requires-Dist: ptflops (<0.7,>=0.6); extra == "nn"
Requires-Dist: py-nbtools
Requires-Dist: pylint (<3.0,>=2.16); extra == "dev"
Requires-Dist: pytest (<8.0,>=7.0); extra == "dev"
Requires-Dist: requests; extra == "datasets" or extra == "jupyter"
Requires-Dist: scikit-learn (>=0.21.3)
Requires-Dist: scipy (<2.0,>=1.9)
Requires-Dist: torch (>=1.13); extra == "nn"
Requires-Dist: torchvision (>=0.14); extra == "nn"
Requires-Dist: tqdm (<5.0,>=4.19)
Requires-Dist: urllib3 (<2.0,>=1.25); extra == "telegram"
Provides-Extra: datasets
Provides-Extra: dev
Provides-Extra: image
Provides-Extra: jupyter
Provides-Extra: nn
Provides-Extra: profile
Provides-Extra: research
Provides-Extra: telegram
Description-Content-Type: text/markdown
[Description omitted; length: 5673 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.9.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
batchflow/__init__.py sha256=F5MjE95xx4HS4auvBolCrErYbr9aEcB3na_h-HKLgp4 2026
batchflow/_const.py sha256=22XgvMFzjTwimP0_SixnXqTBb2y-GZ7J--KqizLlhXA 1087
batchflow/base.py sha256=X4u8-lR7SHIo08qhME6-L1BzBO60tYuiGhZ8qrYM00o 7139
batchflow/batch.py sha256=z4yZ5rOvz1igH8jOOCL4-tYJLgft5YBfccM6UF29N-c 41221
batchflow/batch_image.py sha256=x1c0KwtHZbPJRu2-gl0csywjSd7St36EGEm5Z63TWts 45393
batchflow/components.py sha256=576GtzQgSbZJs5spdgSXzAwKTqw17Ms_L5D31quqbUo 8156
batchflow/config.py sha256=rLtjacwrjBJw7SYMAqFiBt8P5-u8zy8QTQnOESvkX84 12348
batchflow/dataset.py sha256=2pnXHsZ1sSXVV1gwB7y-W6yX2Zp8QKol6E8I-VcElIY 13068
batchflow/decorators.py sha256=b9XFk1Lr277LpUAW0cLLa1QTZB0HqDSlsj5lrurvPr8 19556
batchflow/dsindex.py sha256=XLjFiLWNNzH525gk3MdT0UwpH1rwXDB3g5_n6e56x6c 22928
batchflow/exceptions.py sha256=P7Y1xUygV64mfX7M06POsRaJQw7-Qqle3eI7_5vpPqo 451
batchflow/model_dir.py sha256=kTRoNfQUi9Mzv5J4X6arS39qR0HFdBntQN9RZO_nPgk 6082
batchflow/models/__init__.py sha256=TpWJMIUSdlbZT36sbDmqzPX9hC-rqCewQboupvSokCc 86
batchflow/models/base.py sha256=ICweelG3EGQrOHEqIVXUjTO2IjFD91BQcHDtah8jr14 1009
batchflow/models/metrics/__init__.py sha256=BlKzkpojJBPYiZ_8RlsFBaQA74DW3XL4HyyprvXQESE 320
batchflow/models/metrics/base.py sha256=DdYJAyF65DtgPiSg8djcTP5WwTDk1BnnewQabZp43-c 1947
batchflow/models/metrics/classify.py sha256=zS5RUiin6YPQreZH4wuXGdPVhjTou84vDPcBEtaytRg 17258
batchflow/models/metrics/loss.py sha256=UlCUGIpDYiQoXr-NhfCvOzJM6CyEJRFVCLZkXQdOMmU 1134
batchflow/models/metrics/regression.py sha256=BZNaGt2vmCaq4FEn0sfgjm1hZ0NSO6reiew7rsCZy6k 6172
batchflow/models/metrics/segment.py sha256=D9d8HKBnkskO9lT3duTB1UGe4ga5iW1NCjO3Uqlp4JM 5581
batchflow/models/metrics/utils.py sha256=FKc0es6NXT9MyzzQdIiT9SCTjxnR3y7kEmPj0TO16ho 1726
batchflow/models/sklearn.py sha256=EhcLCXvjM6SVGtrdhl6IM3JiSfS3DjCYdJ4qpDsmMno 3097
batchflow/models/torch/README.md sha256=136TNpUYZ3jwpbzRVaiIqeWbUY0nYsbV8pyXOccTaoE 3494
batchflow/models/torch/__init__.py sha256=UTIst3IhrVd5jPHQttqkSdEAMwGgyLrMLCoTRHswsMs 1230
batchflow/models/torch/base.py sha256=iNXuuCIPkTaD9PCuPantxg9hGPluCp_VJl_FvFXi7JY 90596
batchflow/models/torch/base_batchsize_mixin.py sha256=pVolvyVAfLLf48LPrHDtPRDo3voTY8nKsuTa1cDz-KM 17162
batchflow/models/torch/base_mixins.py sha256=La-1wo32mxo3-NF0K1zRTG7N8GiB_U_OOfyYZZOfr48 22051
batchflow/models/torch/benchmark.py sha256=q-jJN2M6bx-IkE3q0Gu4zOKWZzKazQ9FRLhJb94PqT8 6068
batchflow/models/torch/blocks/__init__.py sha256=Bv_9Ce-Y5AtnAZKps-5WFN9rzthXqWtcFzmhyDBF774 664
batchflow/models/torch/blocks/attention.py sha256=rrORUAt82z_3ww5UHPzyJPzBpSn1x9vj1SKW1W0-elY 23737
batchflow/models/torch/blocks/core.py sha256=YMtLtd8VzxKGsGIvBzscAfqheVGYnEgrRt0d-Gb27IU 7225
batchflow/models/torch/blocks/named_blocks.py sha256=7xUSOjHeRsG5BVyX70VLzrhrYQr_jmEUg05nRsAV0Vg 26202
batchflow/models/torch/blocks/pyramid.py sha256=KL6WFLTSLKrn9KU6908-V39Tk6dIuTNfQ7dsixpIPYk 8050
batchflow/models/torch/blocks/transformer_blocks.py sha256=x1SXzQFBcdQjwkcDYRZY4XRgZrV_I6XhGrH_y9OtmUA 3035
batchflow/models/torch/callbacks/__init__.py sha256=613YdXk4Xy6fpWYtUnR1a52JZyM-3Vl0q9rE2bnkaKU 140
batchflow/models/torch/callbacks/base.py sha256=bjY7-zTrtEKmocgISSvvc_cUxq44_-5J5pPabLAp6GY 4647
batchflow/models/torch/callbacks/plateau.py sha256=pvTGzYDw9fcfumwke7Cse1HAPq5K7KQkSD8YlYifpx4 4796
batchflow/models/torch/densenet.py sha256=CutFR5y72kJGdw-WofPXgbl6QXbeZI2-lXLYDOujkzo 3595
batchflow/models/torch/efficientnet.py sha256=FSBNkGNJcBOF4cDkCo_azuFZ3aErO-YOPx-tShYJiQ0 6814
batchflow/models/torch/initialization.py sha256=VPBqmz989ny-VzD-QVyyzdbHOWZTfEWf4GceAsFhGK8 636
batchflow/models/torch/layers/__init__.py sha256=qWDkHlneNViY9oPvTzOBybf0yZFBXX9NP-3nFeIWdHE 826
batchflow/models/torch/layers/activation.py sha256=rNKkLWl5FXUju6_Czkyinfv6LCbCJva4VKJ8ikK1oNM 4196
batchflow/models/torch/layers/combine.py sha256=8NsP-bExjEv6pFQ76emJzID7xp7F7SPQuAbnbieTMps 6650
batchflow/models/torch/layers/conv.py sha256=mwzzxhZbi1tf7XeDSejfniQAEzI375mXVWxKqqmH1gA 3866
batchflow/models/torch/layers/conv_complex.py sha256=yJvVLqSVUHajBHk6atfzJ2XFkmhdnzZmuQRCnkjDUaE 17622
batchflow/models/torch/layers/core.py sha256=Zw6BrDrMKt_qPnrqlbYQZ8wToqZlUSZEnvYB8DAUJg4 6824
batchflow/models/torch/layers/hamburger.py sha256=meiEkZWlogPXdWTDlcbgo0nCzPF9eNQtTZ_Bqha-klw 4945
batchflow/models/torch/layers/multilayer.py sha256=NJNCqeiiDwEluAtLrkMyUjncC7Ki05ITnsjpJsb-RV0 12397
batchflow/models/torch/layers/normalization.py sha256=FmO5oJh7wqDmqC2aCqZgoi1x7jNXqQdkKxRpESskrB4 2511
batchflow/models/torch/layers/pixel_shuffle.py sha256=HzQgGVjTwS3Ye60QNldMOeYhol8LbMflNhReThVvbfY 3682
batchflow/models/torch/layers/pooling.py sha256=P-0O2mffK4fm4Z0Gzbl5W1HzDCqDNlKtNlIJrxsJPw8 2700
batchflow/models/torch/layers/resize.py sha256=KmSoCJ9HcfOrL26HY55JPUyn1ut-a7tHRgxEdM2B7t0 2540
batchflow/models/torch/layers/utils.py sha256=U1VnK6JHlVQK1zSLW0trdTwEBUYaPB2AwyjHaHbLtZ8 2679
batchflow/models/torch/layers/wrapper_letters.py sha256=l47YQ3pvO3tmjY8u8vut6x3nzt9UxMHNsRlPu4DD8Ns 5697
batchflow/models/torch/losses/__init__.py sha256=LjecAPoaGCznSbyKTxAymjgOraN-2t1hsc0Wz39LLbU 180
batchflow/models/torch/losses/binary.py sha256=wHKXDCy7eYhCH4Hbr6jeNmWi5HABZT88GYR3PIJ9nyE 6875
batchflow/models/torch/losses/core.py sha256=LfHgL3kOsx6ng3iKH2WziqSh3hH1XQnTlK8uvSiwTM0 3985
batchflow/models/torch/losses/lovasz.py sha256=F9yJ33X7hRrsLGbJbshZ6gzjIxhajYDRKOZ0hbyDA10 5122
batchflow/models/torch/losses/multiclass.py sha256=1K78V8paRPC3YHP8QankoGSUmT9uwejn6ugS6NKctbg 1202
batchflow/models/torch/losses/ssim.py sha256=3fF5CXst_6xUvbsydeWmnnXXg5AJvDwF1hUtZzeR6U0 4005
batchflow/models/torch/modules/__init__.py sha256=v81XaAzxD5C1ko_nJefV_U2m834g2ndi-ao0O7I-54k 276
batchflow/models/torch/modules/core.py sha256=oybdkvFsTAjdZOGRGgaGbjHuVJIKuOk3068_tfBmhuY 3637
batchflow/models/torch/modules/encoder_decoder.py sha256=ulwfj8GqOD0bQaSA2AtgUS4ARpC4tfbbJYyBj0IQQlw 14484
batchflow/models/torch/modules/loaders.py sha256=RACDRYq17l8ChJGXem0rKHk0F4EsnZmi4JDFuV5pmX0 8349
batchflow/models/torch/network.py sha256=P3JJoelVadXYfm74JcxMNtCUyjeQLxYbXNDZb4-gi38 5822
batchflow/models/torch/optimizers/__init__.py sha256=C7vQMxlJGHxcjKa_S6WqBR85Qq-RoQZssJbhQqyvdVs 61
batchflow/models/torch/optimizers/radam.py sha256=QeoBWN1FKszIO_tNOmStIy855XegOJPixMSYegLkN08 5742
batchflow/models/torch/repr_mixin.py sha256=410VKHEVejdYyKlU3YPW-Eu41MtRiOMgDaMM3dIswDY 8339
batchflow/models/torch/resnest.py sha256=uzja8pQMpLfUUhmm79y-wugqjaZ5Wh0xaakGKGPKCQY 1942
batchflow/models/torch/resnet.py sha256=90-FholXKpV5vWVbDm4aWmWeFjGRi00wqkomtgLW5yU 9326
batchflow/models/torch/unet.py sha256=yu3oRMY1DEVoiz1_uDizU5eCIket_p8QpyB5vAXZrVk 5661
batchflow/models/torch/utils.py sha256=Wo17xbEQtSEPZU9tnqpeHRI2pJGwPFS26TERmPjzHzo 4937
batchflow/models/torch/vgg.py sha256=j1USe1sffKxxlQgLKBhVf6109AcIXg_vOlxW87bghWg 2211
batchflow/models/utils.py sha256=L4fHUbn_8eFLyrCrrt5gDKeFnkgsSgpMsb7AMV73IDs 1291
batchflow/monitor.py sha256=L449xKngBggs8E8v9RhaHBAbV8r_XY7tjnvMcENIhGw 14855
batchflow/named_expr.py sha256=LTodobEIqgGp6Mg7s3CJc3lkNvhpQlzhDiLSOSByyhk 36539
batchflow/notifier.py sha256=RBL_xTh55rPvWNrydx6Ezh8wnm7YVcP7dhFLdIIjSA4 24409
batchflow/once_pipeline.py sha256=O_3EmXp1ImD1h-5Yt8uFcPAp3Ysr9FxEeho4Ylpay44 9696
batchflow/opensets/__init__.py sha256=_Zx7KN9EVisoGyfbf12FXYUJEsHi8HLLSuC9zBbmr8U 526
batchflow/opensets/ade.py sha256=gmjbg8acAyv0k8VZh4YDtqJcOoiPqojzZZWFr1KToJY 6195
batchflow/opensets/base.py sha256=kTMeGP01ssuYSRu6lS3dNmuLm8UKkZk_tL1eZq8o2qk 2299
batchflow/opensets/cifar.py sha256=fIyyop64oCLEWPFpz5_bQtIhwP0I8rqDfdVS4Ctt5f0 4012
batchflow/opensets/coco.py sha256=QXq9saOskTq4_peGjrSKVXGOXy1lfgyfmm6hPG95A7A 4646
batchflow/opensets/imagenette.py sha256=D9V0MFwqzfxKelyMTOP9qS_j1ngIlJysAqgxttd9Hos 7556
batchflow/opensets/mnist.py sha256=_1EIiz_LVqacpseqGCtc5eczd6KYrah1wEhSH3tc170 5186
batchflow/opensets/pascal.py sha256=nAwJ8P-Hmwwh0RlIedSSq2SmigVHZRVYFGz7Eo64kpg 7315
batchflow/pipeline.py sha256=Bpq18DtxAjHS2U_JNyTMxRkJTtZtRbYijMNGeBinDsY 61753
batchflow/pipeline_executor.py sha256=LgIrGILYAqGYazNXJdCeaKk6PK37jXquRpn6fTtOunA 11202
batchflow/plotter/__init__.py sha256=5GF-PNMtz8jYNuk9giXhRBFL4y9YQ-CLixtSdS1DaII 196
batchflow/plotter/cmaps.py sha256=2VutG1mdGRF6-w6pptyo1T9AKuxgqDX0r8vyytUv_Nk 235
batchflow/plotter/plot.py sha256=X01H7ZCRP9H2dOErSltEjBtZY3YjRyALR0yEARsVR2c 69896
batchflow/plotter/utils.py sha256=7CWJI-jQbRW_7AA8EYp_stRfZqpfKLYPLtBrcC_VGpQ 10760
batchflow/profiler.py sha256=tEMSZQORLJABKOjW_i7zWf3WeKVf0nww168hvip0ZZQ 6392
batchflow/research/__init__.py sha256=6TVtaS4ke13sbmWr07pLqYqsEOqQ8j4qk1X8lVo9yO4 358
batchflow/research/distributor.py sha256=NBi1zU3ofFDynoTHRVITqZwEofTvpjWJtmcEQqfCSBo 10795
batchflow/research/domain.py sha256=AGkB2niJ__lQO3H7SOe7h9SnYWTLCqtflWWOWMj9e1Y 28308
batchflow/research/experiment.py sha256=k6fUL97SDopQDK1M9DyEEilx97-1cOFkJ8Wia6U6Do4 40038
batchflow/research/named_expr.py sha256=JPdzZvfCeijTE0nUh_Eaw_lTuhGiAwL438lze9iV-7c 3308
batchflow/research/profiler.py sha256=6Hz1u6F8IDinfqfnOSUKST1MPz4SZ8bbNoqzzms02Yo 5493
batchflow/research/research.py sha256=LHwpuLxZOxd_3B8vlTpAyrf_c4xteT2_IPJ0y3IvFPI 26092
batchflow/research/results.py sha256=zoy4nb2LUIaS8O_l90zDljqfUAoUGt6QMBhZoOsuM_Q 17479
batchflow/research/storage.py sha256=nm7eHq08J7akMhG3nDM5Zahzn2ecCKy6XHowDUeagXM 23930
batchflow/research/utils.py sha256=2pR2ooYPVrX-yyiTGEkVAy3-UEhBkHr_9tAtDUpBnss 14708
batchflow/sampler.py sha256=Dus63WGBfn80OT8Jy-VCecyj1bHGAjruRLXx-eliecQ 22771
batchflow/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
batchflow/tests/apply_parallel_test.py sha256=-qMPG9aUx9UCMAd72tQmW7V7Vdv3gg_XoJth1wBENkw 3408
batchflow/tests/assemble_test.py sha256=JgczuQiyWU4D2MgvPrx9voE0df_wDSo3ITy1QIriZAo 1364
batchflow/tests/common_index_test.py sha256=lNwlPc3JpSS-9YbavRKw2kKQOSlrgPXlyp490heWKl8 7287
batchflow/tests/components_batch_test.py sha256=oc0_K0Bzrgmni8ALIZ97PA5WPU7bH_6ftHsgRGNAj3A 10831
batchflow/tests/components_test.py sha256=ccFHu5-e9WKD_6TazCoIRsNeRd_HU720J65PdbXRP2A 9470
batchflow/tests/config_basic_test.py sha256=T4_LTFja_P1mNsPeC1Bj4cOZt_Qo6PPmtJzXdnrsEvg 11511
batchflow/tests/config_test.py sha256=Q0S0e-IVTPfEUjhJGwK5a2HLhdCZcuHg0T5EwV1cMek 2860
batchflow/tests/conftest.py sha256=_cCNcj6VYAyWJPW0K2DSF7LlyVVLqE29S8WfPhmupok 1208
batchflow/tests/dataset_test.py sha256=4awWlu8pxNota5CRh_3keaJDKrQzzPPntnS5QY1Nuko 3999
batchflow/tests/datasetindex_test.py sha256=z4M3DRuYoG0Nx6cXakCkYCCPF15EpfSAqWQUsOR5OlE 1629
batchflow/tests/filesindex_test.py sha256=SgbCZ5yXYIC7zXxrDF11tYjMUdbfb2r_p7TjFyJ0i1Y 3439
batchflow/tests/metrics_test.py sha256=rriE-YwXqW26TgNtsIWQ26jr_4fmgXD7A53Lwtnjy7A 22255
batchflow/tests/model_save_load_test.py sha256=7gvUdyVnRRSud6I218xy7LZoGkdCoWv9XrZgDu8dKNg 6819
batchflow/tests/named_expr_test.py sha256=i0SC5aqsVGjUCohCki5IYD6Rbb-FNju67eh33qK1JlA 8101
batchflow/tests/notebooks/torch_benchmark.ipynb sha256=ZvS34eG3ywgVTYTAlnMR-qk8VxaPftqAJTKtst-81yA 248883
batchflow/tests/notebooks/torch_test.ipynb sha256=BrsWOs_XxmSLSWfn85v7qObuysXKPuvbgaQ7WZ8eYBE 40281
batchflow/tests/notebooks_test.py sha256=SZ_0MPjCNvPQ_ntkq4o7-jYdTDNvWScoiKvVQL-dlgY 2773
batchflow/tests/opensets_test.py sha256=6EzICI1l-m-ytQRtv29IxOVkldidIh4CxqA7QqWU3g4 1596
batchflow/tests/plot_notebooks/data_parse_test.ipynb sha256=v5-q1ZoDvThXMV0VSfKDA4PgC5WXWbfM2WLjmodgCVI 28552
batchflow/tests/plot_notebooks_test.py sha256=LudMVOIZ4udpqsWpTCk4JDjzgfcQuZTMCh2Rg1NoDtc 1089
batchflow/tests/pytest.ini sha256=_cvQZvAOtM7uVjHjTMDrhuKuOFDj8-AhZ9VvFdtZeA4 81
batchflow/tests/rebatch_test.py sha256=ldNgpJd8ppEsQGoWYAU4grWXWsBUSKXW8umP33B6ZI0 2349
batchflow/tests/regression_metrics_test.py sha256=EFBzocOhUycWC_AB1dK0bbmgwpazqCYnJL4zqLln8Hs 3955
batchflow/tests/research_test.py sha256=tHbcn5GfzPGRCUNajzyDDCHOglISmCgfc2T6D5BVPog 26373
batchflow/tests/save_to_test.py sha256=F3HW5Qo79DeLsZ2AMH4fqUXf4zvPsAatd8Db193p5kE 927
batchflow/tests/test_loss_test.py sha256=ZJI_9osNzdnTvmStHOMRZWNkcdOTNNj4Z5OVDfbPUHs 1559
batchflow/tests/torch_layers_test.py sha256=Kw1GAZExSBrIrZGwTy6TQZG0A44xvQ7EmZw4NZfxuzg 5183
batchflow/tests/torch_models_compile_test.py sha256=-L2THyNDVw0lE8pjmL5VizVca4W1uVH2JScZRYrYE9c 1986
batchflow/tests/torch_models_test.py sha256=Nya8XTueG9EIEECGp5d8cdIQ-jax4Tj1Hsb-rx-MOZM 4474
batchflow/tests/transforms_test.py sha256=Hoj-Gg5CN9FFgRpkYG6dL5gwOIxpbg93YGxz3nsrAjw 5721
batchflow/utils.py sha256=3rp44GUQiMTjbp2MwissjQVNDTviwGHiw4v731EUVhM 3869
batchflow/utils_import.py sha256=AqS99pBzZwDrwMdwJwn0Yj7i21G4MdRrGKhYXleYE8U 4694
batchflow/utils_notebook.py sha256=3ns1vFnVkQkmybb8XPlGrgWo5_2489QhH0fnuPlZUa8 315
batchflow/utils_random.py sha256=ij-D9hb1kxhpov4Mu0x0nm5AHgA8a1Ro8LC-GC3xEfU 3010
batchflow/utils_telegram.py sha256=Pk-kdmJ0uavABjLMEOiOpQICQPu54kE-PUvNBBrJsCc 7828
batchflow/utils_transforms.py sha256=VbYCO-O1uA5g78twTKFZ4E9zEhDgJfR_y-jb2itGKwM 9993
batchflow/variables.py sha256=sfVb-00q1UaEIdNkthqPlGXW5iFWv1D1YY0J6IdY4Ts 5571
batchflow-0.8.10.dist-info/LICENSE sha256=ITu4ZrDxoHWAZc4zyRaro92BZJQmZrz7WQweG43Dndk 11352
batchflow-0.8.10.dist-info/METADATA sha256=rEmUVqVgSJlv_CWsaYiWyYATGxAbzqP-Yr3HLosDhPo 8360
batchflow-0.8.10.dist-info/WHEEL sha256=Nq82e9rUAnEjt98J6MlVmMCZb-t9cYE2Ir1kpBmnWfs 88
batchflow-0.8.10.dist-info/RECORD — —