mngs/__init__.py,sha256=dT5DVYNMNguVdZcS-JAZmCM0EdoszXfVx7zAPTUSal4,444
mngs/dsp/HilbertTransformationTorch.py,sha256=xIqJNKdGS-DQQxmr7HMUBmS_rAGKEMr45uSxjO8zgnk,12036
mngs/dsp/PARAMS.py,sha256=ItmZaORPkHAnhsVBKdABzIvYnJOzXPlXhV85ER13kYU,148
mngs/dsp/__init__.py,sha256=55ye6hZeJrDylvIEw5cA4D9T2v64oVNbcdzs-ch2mx0,883
mngs/dsp/_load_BIDS.py,sha256=UqqLDgKhqqrcKNDIYZJdghv5hVkhgv_hv7W3bgw6oPU,6660
mngs/dsp/demo_sig.py,sha256=oCQ-KwKe2g6Q7Hbrj_Jsy_qcxOAsCnYyCoFs0qaz19Y,3843
mngs/dsp/feature_extractors.py,sha256=wZqtvO_sFUxt720KIPL3mi1hHhDI6rmsR7SS-3Dxzmo,14356
mngs/dsp/fft.py,sha256=VyoGU_ooG5HmWU_vWQiyBwbHc97ORkYHCsYzWEYCQRw,4473
mngs/dsp/filters.py,sha256=tVzxQrQKY9h7bcbjwd8gEfo_7aYgrJVk-Eb-o8bx4Nw,14678
mngs/dsp/mne.py,sha256=9PqJLwHPwkRwAQ1pB9m-5gNFZgcgjHUuQnsqYzBdwlY,816
mngs/dsp/referencing.py,sha256=fDm334MjtQEIH17oDM2LYTqb1FTBiJGDWjNedeJN3LU,2868
mngs/dsp/sampling.py,sha256=uzqQGKyuVAIzXduUkRGJbUxddwzxkKqxdeQFX9AXmZE,734
mngs/dsp/transform.py,sha256=kvGWdKnUX2GgbscWvvYvd_SgVz0PjCj4CXR2CHTVwDk,12019
mngs/general/TimeStamper.py,sha256=D4BCprxflD14MhdvZOegZ2_ftR0PU42RrTmK8BXpgp8,1065
mngs/general/__init__.py,sha256=TCq8KoPcY3U4Yhb691Myt6RCR-EgokxUJcdVc41jNIc,1210
mngs/general/_xml2dict.py,sha256=JeHc7lsR26Om5TgNDumn5YfwnHEAERBB1tJ2oQaPsFc,2882
mngs/general/calc.py,sha256=6nDSZvskfKhJ0wJCpude9cCaXWfYqbXp9HtwCXCc5nI,464
mngs/general/converters.py,sha256=4I0josjT8mv4qxROnICXWOqek6xKNuKc3BgSWEk7uj4,3956
mngs/general/cuda_collect_env.py,sha256=I2XUWTyR8FJIY50JURxyHeF6EYk4NL_xbRG1NDGwOZM,15227
mngs/general/debug.py,sha256=RtREOM-o3vriEUdZ2itMB8xjkCYvWsVqWg0wkT3tAbQ,2144
mngs/general/latex.py,sha256=hMiGwIzCR-V5gsxFh0XUg8iy1Tzpp0Ejm_jTR_1gejo,502
mngs/general/load.py,sha256=Pk30k4m1PWKvfXTFK4zEc30zqH9LfB5NIGbn0ZPmxrk,4682
mngs/general/mat2py.py,sha256=SBfX-ReHlH-YfvWUAIRKJa3nCqPouc7r57a4Owa5Oy8,2181
mngs/general/misc.py,sha256=FBUGKixZf12vEaxNHsN9tsw-znkCTe5z8Q_636G5kbA,16315
mngs/general/pandas.py,sha256=2q7QVGmkLd5MJ7a34jHsgFUWnxwc8zt_65ITF0j-UF8,5068
mngs/general/path.py,sha256=C-UNCiOIqByPS_uxUf2vSIrRalnP-TRUg7QIuo0gIaI,2097
mngs/general/repro.py,sha256=mIBpQUkmqAlnppQtl6_vXLrKn9oYJzAUc4tDU8MRXFU,3145
mngs/general/save.py,sha256=nzbZxom6NpA8xBoqr0FD7wzp8Tqs6MYkV5Ma6cZzb3Y,9025
mngs/general/torch.py,sha256=XIGDiO3wSP0SLaZPjnQfCs6G1vqREe9Sd27Bj8gGrFI,640
mngs/io/__init__.py,sha256=KzvcqVHpdvx5Zfdx26n-TPnXD_MV7p8gucEEjj0gow4,419
mngs/io/load.py,sha256=Pk30k4m1PWKvfXTFK4zEc30zqH9LfB5NIGbn0ZPmxrk,4682
mngs/io/path.py,sha256=C-UNCiOIqByPS_uxUf2vSIrRalnP-TRUg7QIuo0gIaI,2097
mngs/io/save.py,sha256=nzbZxom6NpA8xBoqr0FD7wzp8Tqs6MYkV5Ma6cZzb3Y,9025
mngs/linalg/__init__.py,sha256=_rVuIQwPUElFJB9PJryjjy05XgRFCukys6v_UJIz3KQ,175
mngs/linalg/_misc.py,sha256=ikKpmEH-0M9DsaNd3yQ3O3KFJQrF9aR6K3OzrVZP9WU,1574
mngs/ml/ClassificationReporter.py,sha256=f45mbfLBG2-gNxRP0z58Sdu-CIC1X9e6KZBqJpMV2HQ,23162
mngs/ml/ClassifierServer.py,sha256=UP3sHbwnUYJdpMvDBT13jac1yr5we_JX3IOMdIrp_kw,3454
mngs/ml/EarlyStopping.py,sha256=N8GIGy2-JZGTDtAg5WqZa5ST0-tB3dsi6XBx8lU2T4o,3077
mngs/ml/LearningCurveLogger.py,sha256=6gsmLXqe3aijFTkNXNtkjf6tOvgsmuKMAPHChINVdDw,15503
mngs/ml/__Classifiers.py,sha256=LQoF-JdCvNeRIsfxfvbo6YAmqHKS-eUblnCMF5rnBtU,3447
mngs/ml/__init__.py,sha256=3yaHF2UHwvj4JeOcmy7QvxebOctyrql7q9f998ICBCU,410
mngs/ml/silhoute_score_block.py,sha256=_PiRJhuz9tcj0tAT7hKrgZ9n-fs-ZsyyiXpFPLAGm8Q,17121
mngs/ml/act/__init__.py,sha256=S8M9OtoHrLnQvoiHDQSoZ0fM9mEhn7-8sGRiG7W5NyE,124
mngs/ml/act/_define.py,sha256=lvIDOhcurRcb4QPjys-zk_GurdiefpHS7iqjonTlL70,220
mngs/ml/layer/_Pass.py,sha256=IyWifx79fSPBeqQZqk60c9bBxJ-gYm267DjXsayo518,141
mngs/ml/layer/__init__.py,sha256=5qenfRN7UyDxKFulNoJp1ODFmtnKtScpNDgsKNdGkqE,52
mngs/ml/layer/_switch.py,sha256=5yxFRgmkFbEYqONwgWf1tC34faMrcq-WJEhlfNvN8lQ,122
mngs/ml/loss/MultiTaskLoss.py,sha256=xt7XGWtEAwPXEFZd9UfmNjFVe4GmOfco8jEIfD7t3Wc,1387
mngs/ml/loss/_L1L2Losses.py,sha256=8wlg0ZMxxX_-BtnqeOFeoeX3wGOMJ5PBcp-CsBeWcpc,623
mngs/ml/loss/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mngs/ml/optim/__init__.py,sha256=IfO5ze-AHRzrdYN8EOllZ8HOgmy5trzqE8dWIJKaZA8,128
mngs/ml/optim/_get_set.py,sha256=K752P0WA1XNesLUFKTeV11NnYw7Hn2owAEANRTGVN-o,713
mngs/ml/optim/Ranger_Deep_Learning_Optimizer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mngs/ml/optim/Ranger_Deep_Learning_Optimizer/setup.py,sha256=mM1-hOo1BaYK_yGr6xJTyPkxtFu901ETKNWrmnDYOZY,696
mngs/ml/optim/Ranger_Deep_Learning_Optimizer/ranger/__init__.py,sha256=rzbk4cgDMaEG5zYLXizWFSzA4_HDYr2qHKCRCngPrDA,91
mngs/ml/optim/Ranger_Deep_Learning_Optimizer/ranger/ranger.py,sha256=JnyMPM1bW6fPu8-edCi7XASB26CEyTxSJy0EoLm6xsM,7915
mngs/ml/optim/Ranger_Deep_Learning_Optimizer/ranger/ranger2020.py,sha256=9z_BrT12-sN2X0VNF3T2-lVYwmCaPtYiXDghSOFIDJk,9051
mngs/ml/optim/Ranger_Deep_Learning_Optimizer/ranger/ranger913A.py,sha256=qSmuA6R6gwiphtFo0PYbXynwfi1sIehhk3vKKDAztgY,8568
mngs/ml/optim/Ranger_Deep_Learning_Optimizer/ranger/rangerqh.py,sha256=91U19vTQIliqLoPSqIoxbgLo6Ub36hiUVXfaQN_rWxY,6934
mngs/ml/plt/__init__.py,sha256=MKkbQSNmp3E7hmNhxeHzF03WLfV5Un3R05FWq63Y9ik,147
mngs/ml/plt/confusion_matrix.py,sha256=Lr8EuVHY2Hn-lXwZ-c8UdNZF-vU7aBS7y0O7DcBxvyk,6878
mngs/ml/plt/aucs/__init__.py,sha256=kqXSRiFCZJ0l7mnbmp1Uig0FdFvzEb38y14JiiKNQYo,71
mngs/ml/plt/aucs/example.py,sha256=dtnrqYd7Lgec2DQo9JD_f48jZurluRMTCyVCpBPLA0c,1625
mngs/ml/plt/aucs/pre_rec_auc.py,sha256=G5XmczI0AP83DtQTxBhPexQ7ZJhh8yK04TeSt_Uwd6Q,7322
mngs/ml/plt/aucs/roc_auc.py,sha256=PEXpfHtJ8jZ5zbOgZzkqOa8MMdVT6wMQHIkZhpqCs3E,7403
mngs/ml/utils/_DefaultDataset.py,sha256=d0GRxLJ1Gg_3nCU-y6fDowGgSUn3ZqySIgKG1Mca3aA,1295
mngs/ml/utils/__init__.py,sha256=9ox0s4-P5LA_riRrtqzkT60j3bp5q6c6poE58Re8szE,269
mngs/ml/utils/_format_samples_for_sktime.py,sha256=Tli9xxUMBxU2Vdzs5Ti7YEYzDGOmaCF8afR18yGVL9k,596
mngs/ml/utils/_get_params.py,sha256=4fnaTLJKNl2Sje-ofgiqNChpaJ_8dbs-KShtUtdeXhY,704
mngs/ml/utils/_merge_labels.py,sha256=EU6Q0fmpLA86fgQDJ-4oytybsfwxR5KTSqHcwVQPpI4,507
mngs/ml/utils/_under_sample.py,sha256=8BfDaou3MR890wNCV_spdrxerAjSHpBZVxxsF0t-t-0,1197
mngs/ml/utils/_verify_n_gpus.py,sha256=haYu03p3AZh7Etnw6-dZr3Dbsf8-ZbwYsh0ofK9S1_U,437
mngs/nn/_BNet.py,sha256=3NlV4MBZpcRJ3txG3IowFPTZWGAVq9ppCmV_PLM-EAE,3448
mngs/nn/_BNet_Res.py,sha256=AOGiY5wctUrUnQrqVOKXNYU4J9weIuoM8_nr0QZ8ALQ,5050
mngs/nn/_ChannelGainChanger.py,sha256=rvzavSEKMUEQSDAe6S1wCxaI2U8ilY4I_rcHlfK8gzQ,998
mngs/nn/_DropoutChannels.py,sha256=JsXQ7KOXiAuSrG3_X1IsqLiB_eVrqUnYyLKZMEz7eRk,1359
mngs/nn/_FreqGainChanger.py,sha256=CTUg27ud_COgL7TyboqYAUIuDfs9R1_8J9EB9iMLhVc,3050
mngs/nn/_MNet_1000.py,sha256=NqMyXh5GeQb97QE9lyNp9G2YbSEaKyu1TBmR3MEP5x4,3914
mngs/nn/_ResNet1D.py,sha256=tUSYSD8sMCNYkofVRsv8p47eirnDVHVukB9kkEfE0zg,3138
mngs/nn/_SpatialAttention.py,sha256=rtqm5to4KSmQUnVOkRH46edgoEEDhB-yNAVci8Ldt5I,640
mngs/nn/_SwapChannels.py,sha256=bz-_7QnR3Oqz4pmavZrA2uUPPv-DdZQtBURPqk4wMv8,1245
mngs/nn/__init__.py,sha256=81QY_7ZxrcPs7TXF67EPNefVU9W3_FWd86cj6bdER38,502
mngs/plt/__init__.py,sha256=XYK13JfAzTxe7QgN3qiB1HAUKftRdO-E5yq9aJ-F43s,654
mngs/plt/_add_hue.py,sha256=oTf3vQslw4D1g0V8kdmFJw-i8RZ_0dYhSRpdRU-9gCY,822
mngs/plt/_ax_circular_hist.py,sha256=Sf65o9IllXzGngmpFvpkjxZbEIN5eqshcrMyuiDhVMQ,2966
mngs/plt/_ax_extend.py,sha256=QEinEB32aT_03zNt0nmIy9C0ttRiCN7-PltOp9mfPLA,3511
mngs/plt/_ax_fill_between.py,sha256=0KRhD2G8RnUdkXmXjGrgmghQePl2W5F4zBJRTl7BVxA,272
mngs/plt/_ax_scientific_notation.py,sha256=T8sKsQyWJAmUz4k5peBNjlGOz4XD711l_tjtD_t30mI,1688
mngs/plt/_ax_set_n_ticks.py,sha256=bz9q3RnyQGAXKDOc1chZDL3do2UIJtUh1OePDK9kOSA,328
mngs/plt/_ax_set_position.py,sha256=Z7f-8PMno38jT5jdcKwbQtHeCYmKXU6XDGnvYOdkCsw,949
mngs/plt/_ax_set_size.py,sha256=mUwHkBb7VO3wBfwi5_EPuNx4F1fT8RYAkafAF73BdcY,452
mngs/plt/_configure_mpl.py,sha256=wSnuakfwDQ5XDTfCLPgYEi83x8Ul4C0PXQXMhRaBsAI,4801
mngs/plt/_draw_a_cube.py,sha256=5At91nZL04zl0sxPlvpgqdtVjahBgAUJT-0qmLPdHu4,560
mngs/plt/_get_RGBA_from_colormap.py,sha256=OdUnxbdD8WVYdhipVHDprS2S6S7lOqE_25eSi2kUy2s,795
mngs/plt/_mk_colorbar.py,sha256=0gquD4TAT9yn3Rw-6V5QGi-y_HWncCUHPBs0DFtIidI,607
mngs/plt/_mk_patches.py,sha256=UIRkKCGYWzz_IpXCZq4-gmtLAT6nuHmOH9rf2JTXH1E,412
mngs/plt/annotated_heatmap.py,sha256=dJT8QaYIkMwY4fqg04UnVJ-lBP5GdRfayqoY_Tsnvvo,1308
mngs/plt/colors.py,sha256=lLl-ctly4aqt_5POY3CWn7Dvc3ZT4gLHn18LpS8zMgQ,2364
mngs/plt/get_mpl_color.py,sha256=XawW_5-kd5fcs-tAcKbbsKPCSO0B6eM0vrVtjLq1dQM,1004
mngs/resource/__init__.py,sha256=ugts4WEtEYJCT2oY-uO6i0s2wY46_6oOJboDkBIzm6Y,93
mngs/resource/get.py,sha256=JMo1S3-lEPtx2BzOGQ1sEBZOf31A4AVLptjGSdAkiuw,4702
mngs/resource/limit_RAM.py,sha256=NfoKPbt4xD3se2Z8ml7rqser2qM1B1FwfRYwg3MxodM,745
mngs/stats/__init__.py,sha256=ahfzl4wIliPKlBLhLW6t0SG90eFjIyPCNCFVAGUlKfA,462
mngs/stats/_bonferroni_correction.py,sha256=Ys5R723xJtOHFvoY73KdUy5wNPPe0zKkX8XMLUpVDWY,2056
mngs/stats/_brunner_munzel_test.py,sha256=TM2awvkqndR8ntbeYU0WRyCX0nCN2_K1i7H_mtjtwC8,2002
mngs/stats/_calc_partial_corr.py,sha256=ep464x1Mu8gZCTnomvxAY3kWDwRGNESIPonQj27Svew,495
mngs/stats/_corr_test.py,sha256=nk1padkQAISkTEdFrYa-kUtkK_MwLXCVQpA6NM6ZZW8,1394
mngs/stats/_fdr_correction.py,sha256=V_PzO8omHTV_rxq7SsGuqpcNtLv6uV_SFZv-FDbhGcQ,6941
mngs/stats/_multicompair.py,sha256=6a06qis7vyXgfDIDIpsplcagrYYJOLF_Eu3uFKGB81w,1153
mngs/stats/_nocorrelation_test.py,sha256=vWOBlPtXqXp7APlk-RimWytFjXfjMUpJtV1ynKIe2ZI,814
mngs/stats/_smirnov_grubbs.py,sha256=bsgUxMoLSMU6ziEWmD--2byMsSJ_-0AL7ciKSogNStg,2604
mngs/stats/_to_asterisks.py,sha256=1fttp0We33IpdHReKbegd2gJmJtZrvZS_gOnezIr7GI,272
mngs-0.7.0.dist-info/LICENSE,sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY,35149
mngs-0.7.0.dist-info/METADATA,sha256=LeldLIsdZzB3TS2W6ZO8bOCv8aIEmxkO1hXONVdaJvU,3696
mngs-0.7.0.dist-info/WHEEL,sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM,92
mngs-0.7.0.dist-info/top_level.txt,sha256=yu38X-J5jlPkew75onifnnNDONEK0dBLwoeGuot6gZA,5
mngs-0.7.0.dist-info/RECORD,,
