psann/__init__.py,sha256=al_NOKlANOwtv3lidJXsa4o0S6WLxJds6wJbwblXbQ4,3038
psann/_aliases.py,sha256=Qos_LcO72ERvEz1VBMBxBSeyNKA-Nj1AfhdCs-aqnE8,5251
psann/activations.py,sha256=tt706lttnNLjmkc-CEthuf1OwDLDdBtmdPtPZdV_QEo,3820
psann/attention.py,sha256=MDfB_sBzwk413lcy-NOjHkOlC2Oz9wtGPxAa8iulpEk,2354
psann/conv.py,sha256=oiR2mly9GHKW-5OXzI8usWeT2qRFr6xHjnrFWPZ6DuA,17855
psann/embeddings.py,sha256=40Ykf3vn2cdc5q-FZz7uUDpK-06gVkMQlWXy9ilv4GE,3865
psann/episodes.py,sha256=uHXxQOGbhk5tA-OIo0m42veNmgxYKGE2lT6bGQxuWEg,14671
psann/hisso.py,sha256=Vrh6aVNysT9nvpPXEX4ex8yrEi0i_oN9kGZYxBfxkoY,32136
psann/initializers.py,sha256=GLyLs7Dx7ih2nbQExgsjMUJ70_Kvt8qoFwZGdNTO2g0,2028
psann/lsm.py,sha256=SQ2YZBj-2LGU1KHrm0hj0Jd7zoRhvzWn5wD4kgoJFdQ,33537
psann/metrics.py,sha256=o4dVnEllH4pCDRxcX1RbxEWN-EvKo290Am2xf2zfjBA,3648
psann/nn.py,sha256=3dgY14TEv0S99tYg-765xhtqyiOov-EEJN05Z1YH4io,11452
psann/preproc.py,sha256=Rem47Ts2eWQ0eo-SFxPbJD2_qMADrkCUUbr0XvA5g9U,7286
psann/rewards.py,sha256=ZNHSju_ya0-HXyn1-hUhvJ7lynyZFup8Ez1_eDEyM9Q,2189
psann/sklearn.py,sha256=cs8SfQsiYmJVHVRTrhH_2WU7WHt9YsNylFvBH6MMYWc,121701
psann/state.py,sha256=pZTmioF6hDtHGl3nrnhSiz6CZi1Z3QMXQeeySCZah2s,8088
psann/tokenizer.py,sha256=9gDnrDk6U-fRvlL0wIG9AT-RA7Iyo1dd-qyp3f7Srug,3088
psann/training.py,sha256=jQOv1blo9FWCAQ9bri90akqkFm0yBhu7Q7FmqcenEmk,5256
psann/types.py,sha256=kOJiAg6kFS6s0CtLbYlwxuiUus_oTSP2LZendrnWDZU,1607
psann/estimators/_fit_utils.py,sha256=EcoxIc0dQvOz11N8ZDQcYCrbiQ5F_gOes88z8Hx3ZlI,35487
psann/layers/__init__.py,sha256=66VElj_JOVQ0o8GIlbCVB_NVLUl4K2x5lTaX-hkJR5E,147
psann/layers/film.py,sha256=6uR8N5t57ArfGMEPL867CNgGwVT_51pnW8yQEpzWVrQ,1342
psann/layers/sine_residual.py,sha256=sCJ3StNr-6Mcl8DvJKMn_YcqRHS_e_9MIBgcvXxRwZ0,4298
psann/lm/__init__.py,sha256=gRxk2XixFLFb4rRNEuXjT4V3lc4Tfu0m3ZBzgke5mSI,351
psann/lm/api.py,sha256=92RQS5rLKmW8fBmeHTQG2cT94YqK3iNnKfNpKNh_bc8,23866
psann/lm/config.py,sha256=bXnsiUev8QvRuY9uZ9JJy9kzTEQNjjzkkCT1s7wXUeQ,5370
psann/lm/data/__init__.py,sha256=NEGFWAAwpJ0T9nOkET2UDDLYlonWZ2Uq2wAehQY1mWU,139
psann/lm/data/dataset.py,sha256=mv_tmSQaCruFupwn9xO-3k1kIdOLSER0MNUsxF9tng8,10793
psann/lm/data/tokenizer.py,sha256=gLj50p-Q1vNPOWNU0GXbR57iaiAeWft0nprpUC-8YK4,20696
psann/lm/infer/__init__.py,sha256=lIn1uXKYXDVQdGs8WuIYoGOONBefMHXxk1SRxglqzCE,150
psann/lm/infer/generate.py,sha256=ksbfbf3IvMlg-uihaS5QKnRGpKZYMLEMyk4aPprxt-o,2513
psann/lm/models/__init__.py,sha256=AEgubDIcSSOq0EYgMFpj0QZlvXSeKupm44QaI_pxHGM,132
psann/lm/models/registry.py,sha256=Pqu4_ZpKt7wlULgtZkqSl8s087L96kw5L1NUNiosLK0,1483
psann/lm/models/sine.py,sha256=BeCs12fYHi3TWN-14RTA12wtzANvo4oW8cHc1CKTItM,2761
psann/lm/models/transformer_respsann.py,sha256=15OK7X0a6NSyVVSU7A0VvfFhM0TItKXIM94EYH8-iKo,16173
psann/lm/models/transformer_waveresnet.py,sha256=L0CElbFnJ_apOTVwmv8Lh7-V65qFu1CJqywiTuOVj0Y,13018
psann/lm/train/__init__.py,sha256=j_tmrsXHIsP5TXgL5nMcDBgtnTMQCxcUPtJbxnO1SxE,194
psann/lm/train/cli.py,sha256=vmPzBgu0g3YqcoiI0Yre6UymYDVTF7AzlKxraIwjm6o,4224
psann/lm/train/trainer.py,sha256=KdHPRpC-VeLZ4eNp__6UUDjCph_v8CcYJFtLrqOTJtg,20757
psann/models/__init__.py,sha256=ZP4IdUF26XOxbFd8Vg8deB3Em_3JpYB6_4yh3AoRXm0,275
psann/models/wave_encoder.py,sha256=aNqivmV0MO31B_-7Be6D46AJcug8AvtD2soZvGduQvo,1408
psann/models/wave_resnet.py,sha256=bUdqeBk94X1T_0QBRbnMI4bi3bH7ODf9UcFtl0BmX3c,6789
psann/models/wave_rnn.py,sha256=9ymZu5YthqxcUuKjYtdmf1pOrj5CTBycyOBMXLYvRSk,5799
psann/utils/__init__.py,sha256=WIXL7WREGPgajpgAUrew4j045dAQAsI_BkQPzF9JH_E,1944
psann/utils/diagnostics.py,sha256=wW3K3xY2WWoA_MumbQbw5bkJOxR6DBruFRQ2hUF3Vo4,3808
psann/utils/hf_cache.py,sha256=r9BP7-SvYHMuoA0BHxrYHqWb8McoWHXU4T9H6aKhIlM,2432
psann/utils/linear_probe.py,sha256=S8cK3eCFTzWTA4O4VJF1OCCN_BIAd8HZzw2aayYzAgE,7376
psann/utils/synthetic.py,sha256=jszkNx7byrZqEcbfCx09dAnT3nLYiKkTjGR4RxDWn1E,4779
psann-0.12.0.dist-info/METADATA,sha256=bAYEbo1pQJd_jbUuOTGnUxkbWOk8xQr3X3tgPEWPuqw,25987
psann-0.12.0.dist-info/WHEEL,sha256=qtCwoSJWgHk21S1Kb4ihdzI2rlJ1ZKaIurTj_ngOhyQ,87
psann-0.12.0.dist-info/licenses/LICENSE,sha256=D5G8t1PdXoDQNTwOgnzThjj7KvG9I246u2_g_nweB0g,1098
psann-0.12.0.dist-info/RECORD,,
