clara/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
clara/animation.py,sha256=7j-jhRQChScPlb_sDhDZrgXeDTPfXc_mt7Ot6Vy2Ggo,438
clara/brain.py,sha256=f7v_vROyzoUv37xB2_vY0qqI2GfZXPEKZfErFi3D9go,14488
clara/knowledge_graph.py,sha256=sfF9MuqcjnMwlVb_EeQnWQlcWuNOosGm8aJfRP4oOKY,2159
clara/message_statistics.py,sha256=5ErB827kxIVjhcJ6TJ1sNQLIbS6rFBFwJ-v7wtflbXI,979
clara/modelTrainer.py,sha256=4vyYMNJAGLl4Rw45j7rdR5f4JCwyuQEVNXnIF_yBoo0,81
clara/server.py,sha256=IVvHIxOJCz7OtUhtCzBCPjipnJPCVjlwa0HjOMtJjws,661
clara/tokenizer.py,sha256=Zo5V_wBQiAweZEEtusA53xlrH1x0SzqiJ2YqCN5hUxQ,3962
clara/web.py,sha256=4PgD6zMcJPECgpL2XCXkLFGVZ3-dVQ35xpvnHpbBSDM,1237
clara/utils/__init__.py,sha256=u2BQ5tBUBd-kXmT8lOdPaNwye6PsUtXgmlQp-fM34BU,1072
clara/utils/convo_reader.py,sha256=sC-Mnr6O7bTTsz31j0rl9dV7Utffm1LmGvayxjy8PXY,1474
clara/utils/iograb.py,sha256=-EJfkJO8HAdlZVDBlV2g3gv-YK_i_2yTS4zX4TPI5L4,2860
clara/utils/sentiment.py,sha256=mHkIZPSneGxrynZfBuaVTfNzHAtzpejNW1y-yb7mZTk,255
clara/utils/server.py,sha256=-z14hwgwyXLBv7JF0_yZps1qvdaNtNLscevEAj2Js-E,2608
clara-1.2.2.data/scripts/clara,sha256=Vf1TjO7KpgG-NMeCCzIUhLlA-OOq5HZgJnSMi1VnDFc,1582
clara-1.2.2.dist-info/DESCRIPTION.rst,sha256=OCTuuN6LcWulhHS3d5rfjdsQtW22n7HENFRh6jC6ego,10
clara-1.2.2.dist-info/METADATA,sha256=qp2hlAjubUhS5l4nohbcxpjpIEAuo7akCH1sxP7qd6o,462
clara-1.2.2.dist-info/RECORD,,
clara-1.2.2.dist-info/WHEEL,sha256=o2k-Qa-RMNIJmUdIc7KU6VWR_ErNRbWNlxDIpl7lm34,110
clara-1.2.2.dist-info/metadata.json,sha256=nlpknWMuQj50OXrxf8NTAPRT-L6pAuqgl_z2XMKbjGY,648
clara-1.2.2.dist-info/top_level.txt,sha256=7Htl9tXYRW1KNxQMffbVPGE7PGQY_2fgZoShMYFe18Q,18
