docs/source/conf.py,sha256=NVExhZdu8z-aDFtA1q2XunnKiLiOKIAdh1wTSIp-slQ,4996
spyrit/__init__.py,sha256=Mchseq6UINoTIzOoT9CjxcIPBnPbhZ7rk1kzW7yEiwo,504
spyrit/core/__init__.py,sha256=5PbU9QNMEZvN6JmPMpgyVo5O4Pd_sSqkygUZb0lKcOc,82
spyrit/core/meas.py,sha256=fmLN_LlFZExLVtFvWzqfZ6NPGUnsBKcW0CVtWoXHeOI,71146
spyrit/core/nnet.py,sha256=o-hEN6zgk9IAVlZzn0xP6buVQzCw9Wzp6rh0C0B3HSQ,8962
spyrit/core/noise.py,sha256=jcKlRfF3E2Dez-kHO1m0uyT2Zq90q-U_7bvzLRN__7M,17196
spyrit/core/prep.py,sha256=2WziUPan3m9hyikgn-JFAhphomMtyl_3ug9-kc9gzpI,17507
spyrit/core/recon.py,sha256=u1iNsdj1wg0Bpu_0NL78SUL5aO0AhrV9yEnndPAuby8,51153
spyrit/core/torch.py,sha256=5gsivU5I0IDJmFX73pgiqcBhQQxJYb5qHERDDzfCA6k,18112
spyrit/core/train.py,sha256=Ys0qHLG-wHJPCtzvr2OZchIWSQ_fzgzHa0LSJESFWAE,28949
spyrit/core/warp.py,sha256=CfTj8LZMDr1k1FOf66ltZrpDYZzm2coRnbQaiIFZzWQ,16517
spyrit/dev/meas.py,sha256=8zGRCoCyXuMLZSCje9qBZtqt1wUrRMH6PA-_8102UnY,6762
spyrit/dev/prep.py,sha256=fSprN6warkUOj0AvZVUHxCaTmogzHh8gFhx3UiS8Nb8,6381
spyrit/dev/recon.py,sha256=X6NpcFUogU2FzuTmTkwiygwjiG2DFJ1yhXzypuMP_ns,46300
spyrit/external/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
spyrit/external/drunet.py,sha256=nRWDVOv_Yxxi2rDdJ24gTMaOGLInhjbgv7UJoQTS5es,19454
spyrit/misc/__init__.py,sha256=2Add3XPAqU6be3q-bdJXKnPLMHBwL6IXYXnDLPAfuTM,559
spyrit/misc/data_visualisation.py,sha256=f-ueCmvR_0_Dn8-H3b5A-zXtR_J1FKBNwYkhON20VNE,1970
spyrit/misc/disp.py,sha256=pEjwKfG3M5R_KxbYUhHDaDxybGn198MtPa0hzOCNH1E,9530
spyrit/misc/examples.py,sha256=LSdxZSXTch5frSrroOWfZXuqwqxjIj4pQhVDLGnDSi8,1197
spyrit/misc/load_data.py,sha256=-MJcaFJZqAGM57XnCkVzDDyt0GUJzV4x2MolP-Jz39Y,2273
spyrit/misc/matrix_tools.py,sha256=0Kes7W4kpYRAbXNrzR2cq__sdja6SizaMcf6LqPaJNc,3610
spyrit/misc/metrics.py,sha256=htZ3beL7lRFX4K0B90B1oL5jx5Pu1Q2ea3YhwoHLZxw,7873
spyrit/misc/pattern_choice.py,sha256=906V3QqKMc1NZbPFbWwdES-uNPdaQjHZXm-Mv4ijwG0,15070
spyrit/misc/sampling.py,sha256=rNUbcZEUg8_LKxr49NpddTPKK1zJtz6jF7X__odHmGQ,13865
spyrit/misc/statistics.py,sha256=ftTEYJj6np31ymVJeivyqke1klVqi6k8q8sV3HlGn4A,23556
spyrit/misc/walsh_hadamard.py,sha256=7zx5XYrY9aAa2bP3kFNqc1f57-4-2TytQMHdvO6lmaE,39513
spyrit/test/run_tests.py,sha256=_JpYaSUgcs9SZ5q6HkRClgrpmBEpTJeWp7oSZqAKXU0,712
spyrit/test/test_core_meas.py,sha256=yNME2nv5o00_TdJDfZsWHzXbNz7thjvgZiADnp8GgCc,12383
spyrit/test/test_core_noise.py,sha256=SAvJMGblo4kC5TVf1k5nWpsg7EbOjvbkdmfbvifODro,7553
spyrit/test/test_core_prep.py,sha256=uAlYBUXmc0g-hP7bnS9Tq0ljepMeUhM4QQyabJ7KpVM,4510
spyrit/test/test_core_recon.py,sha256=C6YlClRgXlgtHRZPvxNth-bNOAAwnX0sZpaRrj7auzo,8205
spyrit/test/test_core_warp.py,sha256=qJuN1dtAJKsp_47Rzi3hhvKKiCjjkqlJCyctPUoI8SQ,4704
spyrit/test/test_helpers.py,sha256=pMHEOnmHfANvHixLjNj8_jLWbl1jzGjtmSG7OJsh0Aw,809
spyrit-2.3.1.data/scripts/tuto_01_acquisition_operators.py,sha256=-5wcvdsUz79RqX7oZTpKHAVcEiFtQNQcV0ieVfRrYJI,10258
spyrit-2.3.1.data/scripts/tuto_02_pseudoinverse_linear.py,sha256=U-Q5sK5lWlj8D3LJJD-LhPRKIYuY6c1tRc7n_J1AOa0,11988
spyrit-2.3.1.data/scripts/tuto_03_pseudoinverse_cnn_linear.py,sha256=U1sWidEuZjPNPyXGsn8n2TI2kfuXaT83x0VznWiskIk,9761
spyrit-2.3.1.data/scripts/tuto_04_train_pseudoinverse_cnn_linear.py,sha256=oCUihRKo1d17Wwo3t4lLiLVq2RNXgYdEOREsZ99MnH8,12317
spyrit-2.3.1.data/scripts/tuto_05_acquisition_split_measurements.py,sha256=IAibD-1wOGlf5SGAKqSigdbgPx84mXDKPHn8iUniRg8,15645
spyrit-2.3.1.data/scripts/tuto_06_dcnet_split_measurements.py,sha256=419vbz1ldRWa_lVzlLuh-UHtc9ExYukYCd83iD2tea8,11146
tutorial/tuto_01_acquisition_operators.py,sha256=-5wcvdsUz79RqX7oZTpKHAVcEiFtQNQcV0ieVfRrYJI,10258
tutorial/tuto_02_pseudoinverse_linear.py,sha256=U-Q5sK5lWlj8D3LJJD-LhPRKIYuY6c1tRc7n_J1AOa0,11988
tutorial/tuto_03_pseudoinverse_cnn_linear.py,sha256=U1sWidEuZjPNPyXGsn8n2TI2kfuXaT83x0VznWiskIk,9761
tutorial/tuto_04_train_pseudoinverse_cnn_linear.py,sha256=oCUihRKo1d17Wwo3t4lLiLVq2RNXgYdEOREsZ99MnH8,12317
tutorial/tuto_05_acquisition_split_measurements.py,sha256=IAibD-1wOGlf5SGAKqSigdbgPx84mXDKPHn8iUniRg8,15645
tutorial/tuto_06_dcnet_split_measurements.py,sha256=419vbz1ldRWa_lVzlLuh-UHtc9ExYukYCd83iD2tea8,11146
tutorial/tuto_07_drunet_split_measurements.py,sha256=ZqR97JfPcIddmaZ_yW1zLrSHmnn05vmAlo7hFnmrNvg,13240
tutorial/tuto_08_lpgd_split_measurements.py,sha256=liE9pQERMGfUi_QpLgazCYMoegsS91JvQtvRqlxHNxU,8507
tutorial/tuto_09_dynamic.py,sha256=zWFjNNTrx7bh2xcMGKzweW4VNvfuSKqKSWgzJeIe44Q,16285
tutorial/tuto_bonus_advanced_methods_colab.py,sha256=3kyhQIriUL1Ai3PrxW1g-ZXn_vmBiB2_1jQTCSCUMkk,643
spyrit-2.3.1.dist-info/LICENSE.md,sha256=2n6rt7r999OuXp8iOqW9we7ORaxWncIbOwN1ILRGR2g,7651
spyrit-2.3.1.dist-info/METADATA,sha256=-fnHj3-qDkUx2b28AV1iK7cqH9cwoiRW78_hJJDRI04,13466
spyrit-2.3.1.dist-info/WHEEL,sha256=mguMlWGMX-VHnMpKOjjQidIo1ssRlCFu4a4mBpz1s2M,91
spyrit-2.3.1.dist-info/top_level.txt,sha256=IOydBhtNpASyabJrKx4DEA-b4Mi_WH2YE_U-c4imGgU,21
spyrit-2.3.1.dist-info/RECORD,,
