spharapy/__init__.py,sha256=AJ3T8hXCOm5uGEBwEUfAvrBP7yNPYmoAJnM-_CZc1aw,144
spharapy/spharabasis.py,sha256=7xz_QXDKWlidW4kmiC-NYjFMPJtJj8wUo_o6nLgwn0E,6947
spharapy/spharafilter.py,sha256=mvfNYc4vcgREsSwW3DVeicW2T4x9L9iAUgJYvjBiFuI,8072
spharapy/spharatransform.py,sha256=m8d8ffGnLzzPXn2MHpR82oVK5Xfqde_0b1qALX77rA0,9245
spharapy/trimesh.py,sha256=WueqaNS9RhNx7Wh89UiRQktjTEuiD5bPSvEoLmFlhT0,28999
spharapy/datasets/__init__.py,sha256=zHxbayRP1m4iY3sByJV1YB2XgmA4Kfb6Bh--Nwjxes4,645
spharapy/datasets/base.py,sha256=D9Mhdt30S86MUkcEFnc8jDY-IYAqpFr4IbmAgBtuAQM,6157
spharapy/datasets/data/eeg_256_channels_label.csv,sha256=KxO3rtTRME6wrEd7xkp6Ey3pkt5OUl2UzsGX5_4D-S8,1099
spharapy/datasets/data/eeg_256_channels_sep_data.csv,sha256=5eE1MYuFnQ6pOoi3rLxdh8K1lRnzfnsEntdnhNKq3qE,1020087
spharapy/datasets/data/eeg_256_channels_tri.csv,sha256=m8Dh_LHMzFl0W2f07EF_QAkh00AH3mLTMKtiS9Bhwg0,5163
spharapy/datasets/data/eeg_256_channels_vert.csv,sha256=c9xw11UglQcNObe4HMB06fWdv1UO-cQWl8DbUuJDKd4,4063
spharapy/datasets/data/simple_mesh_tri.csv,sha256=IFOiJgAwFWWvSjOUOhpsQG1N031g3rO76Bdcnbir-IE,2228
spharapy/datasets/data/simple_mesh_vert.csv,sha256=hhUonUHtrFYPD-_oTgcTkYswOCbM_R2IAxDvoWkQxy4,7677
spharapy/datasets/descr/eeg_256_channel_study.rst,sha256=R3m0QS-kaHf67vThy6cmIhYGPRHciHfXHCIezEaua9o,1219
spharapy/datasets/descr/minimal_triangular_mesh.rst,sha256=qrG1iH1vVVbv0sWWJwiAUB-AlTOEpT0RNnsUKjozXH0,251
spharapy/datasets/descr/simple_triangular_mesh.rst,sha256=BF35C039X2R-s1PyYznEAD9Nwp4lBtuEYWvezMohNNY,281
spharapy/examples/BaCI2019_TrainingCourse4_SpharaPy.ipynb,sha256=DY1XGwyDAdWMBe0JD79oW4U-UVj7OWufy41kpLLiDF4,2035659
spharapy/examples/BaCI2019_TrainingCourse4_SpharaPy.py,sha256=iXJMm6u4G3uxEG9KMraGURtxyqhiJ6e44Kp6udzZhXg,24796
spharapy/examples/SpharaPy_example.ipynb,sha256=WzaZHb5bbGgwpLS1qs2EYPHp1GTjDKYiW7UvInPT9q8,209499
spharapy/examples/SpharaPy_example.py,sha256=hNm1OOJyPkl23aGdZJsWgmWpOLKCYCXTqq5NOgr_lg8,14318
spharapy/examples/plot_01_quick_start.py,sha256=U-b0NGMsZSASRhi18anxJlqKjWaBtWY9UmbY9eVtAZg,7429
spharapy/examples/plot_02_sphara_basis_eeg.py,sha256=PBaggSH0dCs6yHTuoZ0ku7svS58aGPrvQwiZGuLeQmM,10164
spharapy/examples/plot_03_sphara_analysis_eeg.py,sha256=uMF0TPCbjuYUaBfwghCWvO8RsFavUq8d6o5XvUeQc0Y,8466
spharapy/examples/plot_04_sphara_filter_eeg.py,sha256=pRkge1FdW7Hj7RVk6YPgtbDqrPwMxOyjKKwYm9FvWjo,12120
spharapy/examples/images/2D_Fourier_Example.svg,sha256=rWP7k0yK-GPIIEMfJuafE8ATX3V7cthaPPsWLsmjoMQ,170153
spharapy/examples/images/2D_Fourier_Example.svg.png,sha256=5EcAj_F1xZYG4zZstcFEZAyJ8bq2mVTd7xf1fKHkGnM,143339
spharapy/examples/images/Class_diag.png,sha256=wwWPsZKdZ10gA8OONx0jHbXbJwxq5ipUX2JDh201TVs,349542
spharapy/examples/images/EEG_image-1.png,sha256=4wd0LZH3a5032hPiAEatk5ZtVVJ63fcUPouq_yguEUc,192854
spharapy/examples/images/Low_frequ_bf-1.png,sha256=6TGuChVbnH8DHeyxfoNL1BA0hiRRhwACh6IC9l483ys,1057418
spharapy/examples/images/Sensor_tria_mesh-1.png,sha256=nDOomONHCwmerCNTus5J4mZJHkD4GxmpaKmIpD2pGGo,3672697
spharapy/examples/images/scheme_sphara_decomposition.svg,sha256=67ZuPP4ph1MXOiDgfwt5CSn7vQ8Daq_j8b82kVUiJu4,67092
spharapy/examples/images/scheme_sphara_decomposition2.svg,sha256=XNHoEKBTecmCGtrD1GfeLmHPYM6z2QnCQ4q4gANGjnw,890759
spharapy/examples/images/scheme_sphara_filtering.svg,sha256=CLjUv2k4rYO3JFJdjEhuAmPBvS1VXxQHdAXXvHVpAmA,91870
SpharaPy-1.0.14.dist-info/LICENSE,sha256=7qQT8v1jVNd7guY7vFfURE2lYroOCYsMZ__7BIEAC_g,1487
SpharaPy-1.0.14.dist-info/METADATA,sha256=vlsgxcCtKWvGWV0Tm5YtiDe8-SKL2SPuHVZw2wBOKEM,1622
SpharaPy-1.0.14.dist-info/WHEEL,sha256=_NOXIqFgOaYmlm9RJLPQZ13BJuEIrp5jx5ptRD5uh3Y,92
SpharaPy-1.0.14.dist-info/top_level.txt,sha256=LazEE-MqIPLGJOs8AzQ7gddlrL6W8tHvRu0LxnyoMYo,9
SpharaPy-1.0.14.dist-info/RECORD,,
