cds/__init__.py,sha256=u3TOEq5RhU55FVwbOgzaNQkuTjKngO6o_iCN9y6fNPo,2120
cds/__main__.py,sha256=Lsbas_bewOt165lQYNGB85lv3-mCKMGUAe9G6BFEgag,136
cds/_version.py,sha256=n5rJUM-NcKD97aZZthZGklmPejDxYyv9lIX0AtYcp_0,500
cds/cli.py,sha256=x6n6tBOwT04uxLwu30hbpwQr1up3ZR9Wx5p93VfeJKE,12435
cds/core/__init__.py,sha256=dUeIzrw2-L2ujQ1zUOH7yHxPH4YNHzNZcriDk5CdGtk,159
cds/core/_numeric.py,sha256=WbqDXaPTB3VW1olCuNW9glxD2YBKPfeDnDUHwZwfqBg,3399
cds/core/models.py,sha256=BDc9fl7J-Rd6YxXBs-vogL1WG7r68y66Q-K1ySNQSIA,2528
cds/data_analysis/__init__.py,sha256=L7-64MkbA9MXRx5JJ-V6ztzER-goc0DiBFTqMMwrb0w,456
cds/data_analysis/dataset.py,sha256=3BltKn0d5cfY7mc6xxdaKyodor2ttNmaoNGVjmWtpvI,4154
cds/data_analysis/loader.py,sha256=M-qevDb8Fi6Ot1nkvWCPW6SKoMkEzNCO1HsCTb4NTKE,2552
cds/data_analysis/transform.py,sha256=kQCEY2h8eXA6eIR_8xywSy4Ro3NxYwcNg32Ka2ckoL4,997
cds/data_analysis/viz.py,sha256=6IRgRxbN1MfLg0BgUAcoPEYbs3-UkYZASToXycfeI-0,2779
cds/diffeq/__init__.py,sha256=Pxoe0MpmzF4pN9IyI3fbrtCZDYmdxPmkY9Kw0oDiJ2w,345
cds/diffeq/solvers.py,sha256=E3ZCmcLrIr2rn-w7h8bnS60TVmu8-MWuIKuK1pOggxE,8060
cds/graph/__init__.py,sha256=SnVucUAkWupSdeFAykecA6REJKCGletWMwDDqwefass,349
cds/graph/algorithms.py,sha256=6-jWzKrthI2F3UhqCPtb-CbU7FueBrfHtLEUhotrHSM,6902
cds/hypothesis/__init__.py,sha256=nC3altPwXWoLqf4G5pwhJSwvsx1qWsle9u4CPq93R54,1301
cds/hypothesis/evaluator.py,sha256=P85TebO3_MWdl6oZpMWUYcwbTsx7WsoIRkwlqf8GOEo,8304
cds/hypothesis/generator.py,sha256=oqZDCAnkxC11H1rQRleBfnYI8BIGU5apPwiAJmEXAzo,7861
cds/knowledge/__init__.py,sha256=sloYX-SDNT0zxdi-i3xV4COxyXVSaVHzXlZetn2NXqk,1084
cds/knowledge/graph.py,sha256=q0kgLnXt2Ml284IbCyGPWBzKwx3YHqw2xYWfcD1yWWc,19120
cds/knowledge/notes.py,sha256=8e7ZWIVQt8yVz0_9PqJPlf39j53XCshP8E90PDKipYU,8679
cds/knowledge/retrieval.py,sha256=CDIuJTPx0fPbqLqFb4QDNUvCHopDJm9XOs9a8VVldkA,5892
cds/math_utils/__init__.py,sha256=dP8usx46MSSIktGqLcrecGrjnBQb7o9Vd0TlCvFGGeI,665
cds/math_utils/calculus.py,sha256=R2ruluHWdomnyDC4auMegIHBFKhyYOLIGoZS8hMnY78,1398
cds/math_utils/linalg.py,sha256=u8xnB1lsPmVTjxY08XA_Hs4M5W4FQA9cavBXTCSsUPU,12638
cds/ml/__init__.py,sha256=3LaT5-Yp52VtVXeiKJDBw4dozkRtlE2E2Q5d9hos3wM,110
cds/ml/neural.py,sha256=zB2c4uznj-0CBmCnIVyX8XUgvpSWvlHUHe0wbJYGu_M,7572
cds/modeling/__init__.py,sha256=YjatErTBm10nBasNUMWjDcRAOqssH_wBZehr43GJo2k,662
cds/modeling/expression.py,sha256=tbSp-wXuh7CuUBaVsLQQIK3EUTLwuD_5bKm8h0zVGNs,20063
cds/modeling/model.py,sha256=rOShLakeq_yRf9hOLmlm2AD3tML0qNBOQuhgRwc88Gg,5510
cds/modeling/solver.py,sha256=jazHNprpVIGN46Wfh1_bMHMHlgClPbviwTNYKLDpWzg,6420
cds/montecarlo/__init__.py,sha256=zdqPF6uoq5k5huQkB8mZEYWOJ_Y6ScDxDZsAtL8NWkc,339
cds/montecarlo/methods.py,sha256=QCY3RxtzHIMifY0vSESWI_61Mtu7V3EYrFhK0taWYe0,6032
cds/nlp/__init__.py,sha256=S7bB362P6JCNRWbB_gWvbu08phvXXlZ0nCKKJzJXZng,5233
cds/nlp/attention.py,sha256=s6bj04hqW_iq5NTa8HHCxslImf0LFp9o__p9lTzhOys,10032
cds/nlp/bpe.py,sha256=c3mhSvxr02seeKpLKeRM-mQTg5wZGBjip2x3DYR228Y,17988
cds/nlp/data.py,sha256=NsJogxQ6oMR74NutxuR1g33d9tth9bX4AJSChuRHUI4,2885
cds/nlp/embed.py,sha256=8iEHKWuAGx3bIM0ssuW8CAOTCIhjGzz5YzcDW-u0_O4,7402
cds/nlp/layers.py,sha256=F5_7wgDrEPTErcIpLwGvmluwkMe884CURkV6KkQdVHM,8137
cds/nlp/model.py,sha256=3C2Ig9yHYsdjY8FUzJ-PvvKOLt25WphEc4G-JkKcm5k,17777
cds/nlp/optim.py,sha256=8w_g1G4ZZ1Ru89JiCiwGkRALxH0fGv16NV8O1tdy5Qg,6352
cds/nlp/training.py,sha256=JsK2IQ3lffkeo7LWr186HJE_JxMLRXi45ccx-xnF9es,6391
cds/nlp/viz.py,sha256=TzkCukxZExxdSaC5XUVe4YA0osGILKf-_T5EnYQ5QaA,10496
cds/nlp/autograd/__init__.py,sha256=Ku9iJka9fEwrSS5vufTrty8UN7vtgxWy2nN1UTaxPrM,2401
cds/nlp/autograd/_grad.py,sha256=1zfDOulfe4Mj5t0rNkXjI_XoY72bqilLxby0KbvJOvg,4299
cds/nlp/autograd/ops.py,sha256=Mm7msXRllFOariuRpbWXWcptmZytBevBfDCRQz-jReg,4804
cds/nlp/autograd/tensor.py,sha256=v3VsDbQIgyHJ2ptG5h-tWUytBt6UHponKBE90kZ4RoI,10550
cds/numerical_integration/__init__.py,sha256=tCGiZ8vuWZXs4FHeRCYIeCypsFfMWCGQVxP1KlcqVlQ,593
cds/numerical_integration/quadrature.py,sha256=Tsnb90F9mJdlhCM0A_400_aq2xZpw_jQkz8ovqNe3T8,11285
cds/optimization/__init__.py,sha256=5ePa53oH8xjyvWmZMhn7oDCcDsmGc3jD0sc1nNw-wm0,258
cds/optimization/minimize.py,sha256=9WmsDO0hHt_mJ_x7UPUQXhvs9m74CyuAyyR4NpluJ04,13927
cds/probability/__init__.py,sha256=NJQAHHuGciYMGoddBaDWLQQoQW9x_Z-n2YSu6cRwV0E,361
cds/probability/distributions.py,sha256=UXOZXEt0BgztineZDL5XZXp3qomjchPl1DsDmc58r88,2832
cds/quantum/__init__.py,sha256=gwm0dsnrsmuFCk7ODYWZs28Ss9UYcR8vx6h26vxx2DU,836
cds/quantum/circuit.py,sha256=Th_uhIIhwMcZNTFxuToUWxRWOP2XPP8UzBgkJzNMpdQ,2906
cds/quantum/multi_qubit.py,sha256=6ahYYPS2Od_r4n4r9-Lmi6QRYj-CTk2Lo4OnNqeT-zM,7846
cds/quantum/simulator.py,sha256=nTWehdlPeJNskUKJdnOVDbT9QmjUMDweQMmkr4uMcn4,1171
cds/scientific/__init__.py,sha256=8Hk8ay_mueQhnAdMH-DPWML6HFTk4KL5Ku90niW4bjg,598
cds/scientific/constants.py,sha256=N5zMnU4m4Ddr3krABr1-rgPI55TUDX6hxW2DHcRVwkI,1271
cds/scientific/formulas.py,sha256=qplPEO3EOO3WFB2YTv0K-zARLy9UD7bHM7Zj5OI6MfE,1683
cds/signals/__init__.py,sha256=4WpGecY85m4K8zT3iWdZF8iOz3AxtMUQOCed0Urviys,347
cds/signals/processing.py,sha256=6N0PflIXJdL-_oKVRb0T_xE2ErOajTsw91RZOajVIbU,6255
cds/stats/__init__.py,sha256=LibDrGKeOqLrSQ4UUyNwtrKCCliYuihhH4BRArpkBzA,736
cds/stats/descriptive.py,sha256=NH6M_iVRbQdi21eetNilXPYZ9gviKNSjVfgmhhauyaU,2647
cds/stats/hypothesis_tests.py,sha256=URZxeAVcfXBlAI6a3Jn6zG_A-7LoVIf2m5N_a8WdAVA,13808
cds/stats/regression.py,sha256=qRPkjqVh9mTBNxk9Y_wr4YBgFK2HfimWPOgEjhJBRjk,1559
cds/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
cognitive_discovery_system-1.1.5.dist-info/METADATA,sha256=uvPqSJj-GXTASUCuFtC9Whr7hZyiig9ZYJBFyA6OKo4,25041
cognitive_discovery_system-1.1.5.dist-info/WHEEL,sha256=mffPy8wBnZQn2VnJUU5jE99KsxaSfiyMHV9Yt0aLVxs,87
cognitive_discovery_system-1.1.5.dist-info/entry_points.txt,sha256=0oKddS9K0Mlp4zVj20vjtck-DzuwFgMVXH_k8fCOKto,36
cognitive_discovery_system-1.1.5.dist-info/licenses/LICENSE,sha256=cUcAAiw6i1eVVaNY3hodbTYPHOap9Qj6qYmp36DwSfA,1085
cognitive_discovery_system-1.1.5.dist-info/RECORD,,
