cds/__init__.py,sha256=YlLfIGY9QrBC1LQ70_BBH-nWlv9MiQ7nJBudqpGVOxc,2913
cds/__main__.py,sha256=vZMAm29iOXEuW40lJsi0-MJ3jsO_OasJ78pmHS-E7Bo,154
cds/_version.py,sha256=UqM7LGfEziZGaOgdqScjvBZ7hrd3496zld5tfHZxImE,571
cds/sensitivity.py,sha256=F-EDGq9JhMEUPSd2v0NOhpIJv0ZTqes6tvXpr1QrGmw,3041
cds/bayes/__init__.py,sha256=YRTrLfYjLM5Ml4Cjm2xgXhJafcyQIpakQhqWRr-TvtQ,567
cds/bayes/conjugate.py,sha256=XFYt8IsLsHnNSZmsr_y4liF6TsyQgbmNbD9KZGNgm6U,17931
cds/cli/__init__.py,sha256=jFxViXJxyxNnt7QNy9E42sfWh7J2ycG9DINd-lU3Abc,2892
cds/cli/__main__.py,sha256=Xw7E5Vob7Nx37cQXOWxrL6SU2kXNAKwv64xWzdc0f-s,195
cds/cli/_handlers.py,sha256=aXxHvRNQeAMgns_u6bRvVyhJd51vA9cIyiLsgEAVg-g,11539
cds/cli/_parser.py,sha256=pUeUVzxEy3Rd4KT8BHGZ3-7S2xLEYrkINVtBiVtVBpk,5911
cds/cli/_style.py,sha256=7ud7UZ2Pr3iMm3UihV3w8SNiPg2cDvgSguUXr65TwUA,7464
cds/cli/_system_info.py,sha256=uDTxFRqNydQSI_3SRw8wfsIHR0-8y2ZRC8qyvqmOcZk,3962
cds/core/__init__.py,sha256=7aBuJELZ5tqPZhHZ_Sk3qFlCQw-kRyVIdtaHaY7ka1w,154
cds/core/_numeric.py,sha256=WbqDXaPTB3VW1olCuNW9glxD2YBKPfeDnDUHwZwfqBg,3399
cds/core/models.py,sha256=y5EzTgC4VpQuL_MgaO1xueUvVKvgn5P137kjK-GCtNs,6890
cds/data_analysis/__init__.py,sha256=wwn92wD_edRZG8Ci4XzRzugTGd5yCyoG_fJh5f7vmoE,909
cds/data_analysis/dataset.py,sha256=GEO9tLBKdik3fCIqzBiGmY64yB03fY7XYkVVQ_D5TFA,4359
cds/data_analysis/loader.py,sha256=1091TtMNSxrZKpUF1Hw-jWF1F3GJg0hiMGDdNGKnmXs,2477
cds/data_analysis/pandas_io.py,sha256=YRgjW8CV6B6k-JrQdAkbXz7bXjXwPAglS-5X7dX0Wt4,4023
cds/data_analysis/transform.py,sha256=9FlgOKDGkzv8aa-Wyv8wK8jpQD02Gx7j6tZv7sxOlR4,961
cds/data_analysis/viz.py,sha256=ZXw_fOAu8dwlD-vxhlRy4TJZ4KpBNcZstdCcH8zI3Ho,2691
cds/data_io/__init__.py,sha256=GjtUlih8mYwMr4ZHC_bkmQbNwA9k6LAIVzd0cATq5_o,357
cds/data_io/streaming.py,sha256=T9lcqdHe5P1nPORXYkXA_cxm81xju5IJvOMaBqTB6LQ,3766
cds/diffeq/__init__.py,sha256=fU5SB7_sxruX6yCnaU4-zJWP1y7UivIwwxUaRw0D0RQ,753
cds/diffeq/_implicit.py,sha256=3hCKfV9peU7dZ4ThnEa5qtnOCjKJ9GBwJ97FxMRsYQg,10759
cds/diffeq/solvers.py,sha256=MoUEZBON1YhZ1rZwf7PZM9qy73ff0MfR38GpCnrPBag,10056
cds/diffeq/symplectic.py,sha256=8qagFxo_AYYOodlIHSFkdpMeBwxo15InSJppS1YsoDA,7961
cds/fractals/__init__.py,sha256=08OZOr9ey7Cd-aG0IxFAqtzm3VE1EzjJMOf3MhR1G2U,905
cds/fractals/sets.py,sha256=qz2SLBPAOC_t7UeWht-RMtS_E_2E-le2qo1pqS3kMaA,12352
cds/genetics/__init__.py,sha256=0yCB4ITxlEf_Axq2niy2apFi86uyjrqwXIVFUWZULSQ,445
cds/genetics/sequence.py,sha256=Tm_XEJUcwN07QccSd1pdbK8h_VUFJFcmARrgR4Ba4_U,6896
cds/graph/__init__.py,sha256=7iEtOhieQq8NLjEopnQYGwXGxBBd9gqMOObmoUVbBSA,518
cds/graph/algorithms.py,sha256=GEpgeoQCH5RKeIiyo_ETo-zxR3tZpqLqz135kJ_KeDg,12097
cds/hypothesis/__init__.py,sha256=jmFHqWuRBbkG3wleEGo_obNBHDdSB3m0ApSGj9uMthE,1370
cds/hypothesis/evaluator.py,sha256=UwfeilP2P5mpLH00Bc6zgnAseKw1yJ3YyC2Oc20c8rI,15201
cds/hypothesis/generator.py,sha256=IvYXsDLb884L-OddTt_MOAQwMp2yZkbO6Kl8cqKVWPk,11601
cds/hypothesis/mining.py,sha256=3_zNQqJAr82J6hM9poYuYja1J45_haXnnYyeX3vn7ug,12033
cds/infotheory/__init__.py,sha256=t0m9FRsVcCsZ_N6EJN_9cotk376ruEf5SzxGvsdGV9c,527
cds/infotheory/measures.py,sha256=Bf5qqimeUGDpXeZ7jy2hzQY9gonw28wf2vkyNRTB7rE,9717
cds/interpolate/__init__.py,sha256=2H6GlGHK5OiZ5wTaJvGPGQguUisLef3elKQ9lwQ8Rq4,5472
cds/knowledge/__init__.py,sha256=EY2flCMY0FMvH1Gz1ppWQNerds89hW4-CyZJ5ZrY99I,1156
cds/knowledge/graph.py,sha256=biP50Wt0Vck8TE9g_YFOGDxdrYV1F11x38DZo8rJUjY,19269
cds/knowledge/notes.py,sha256=8e7ZWIVQt8yVz0_9PqJPlf39j53XCshP8E90PDKipYU,8679
cds/knowledge/retrieval.py,sha256=UytERuLSSPcyY2-XhQydI9miHy-zaEgP6Z8fP_Xk7ws,12410
cds/math_utils/__init__.py,sha256=u6HNuT-G5ZKHfsNTgkbaxSyaa_lL9BkNdofwlkbRwUA,880
cds/math_utils/calculus.py,sha256=L8V83UBDnIM5Yfe-BjrPs57hTil8XivE9vEryle6zAY,1358
cds/math_utils/linalg.py,sha256=yqAQa1ibVaa-TPOuXBun7FTohMGfUzSTKY4rdFBD664,18196
cds/math_utils/special.py,sha256=hFt7-wy0Gn5CZXt04Y2UZ-r1gozOWWfrFAuc6N1CDGk,5179
cds/math_utils/svd.py,sha256=E8SEFO_2So_3qinPXVJGAo9yPiBAbxdMV5r8bipdJPU,9924
cds/ml/__init__.py,sha256=0b03RlbDV8c03JYodjYMgNdTY5Cho6EuQzjbs7JXcJQ,1630
cds/ml/boosting.py,sha256=agRfazx-IEMRqyRpwD1S2ZpEwwNmp6Y3TKMIGn4cFXI,11430
cds/ml/clustering.py,sha256=VjTSNsaO0qqQlYgiCM042PYicw_tjr-WdolNtoipkRs,6865
cds/ml/decomposition.py,sha256=foHiMY9yEXZ6zBL85q7cOKt-b-BWAjLNqxislfnruMk,6584
cds/ml/ensemble.py,sha256=mk_FYCQ9zGP2jzGmzsqhLD7SIgn0nequA5uauK568tI,5818
cds/ml/linear_models.py,sha256=HZZRDyU_v9XBc2WymjNiW-n397MieWfk2S5ID1gpmQM,8321
cds/ml/metrics.py,sha256=QUo9J3XmHx8X9YfAq3PrNSXVvWNDpI4zISY_4_yThAw,7940
cds/ml/model_selection.py,sha256=NKGCgAI0SSk2pGbmImtOGgF5Sdc97p25iJxRUsXN6lc,4680
cds/ml/naive_bayes.py,sha256=rxsVicVZhstCs8zUSP_hKg1q0Tfn7OgAJux1K35o-dI,6893
cds/ml/neighbors.py,sha256=wlj0QiOxyJblOk7LIppwUmOZHiqNJVqfm8JfthKx1i0,5574
cds/ml/neural.py,sha256=l02e_Awn_Ys_Vvuqzc4opH4Mqu5EbDYoHR3wDJdvDbE,7923
cds/ml/preprocessing.py,sha256=J1AM6_W0JLY1eTnJcRyvkch4I6bczAqBMIoLNWKMlC4,4493
cds/ml/tree.py,sha256=63YFuCJDlJqGc4ar6PYyqdZLZbmC4Rv-53VsTleGg4o,8701
cds/ml/voting.py,sha256=sDfBa2ZBxF4V1Oupc7iVYoeEPm4qr4TAmjqYA9ii4RM,6897
cds/modeling/__init__.py,sha256=DbhluuETzv7Ri5nA2xPbewBi0FwQsu2AIqokNrEU3_c,832
cds/modeling/_base.py,sha256=YA2PwJb0L_oRLdPk9tVXCc57lx3E65bFhmtzxxqXv_M,8911
cds/modeling/_nodes.py,sha256=NeRrG8SuMG2kvikitvwRabip6upALWFw5BMYFsA7Ba4,19381
cds/modeling/expression.py,sha256=BFdj3ZdpVLQ3jL1TqcNKZCIKQr4XxbxxeHyOgUefXQM,2694
cds/modeling/fitting.py,sha256=XKdG-EL3SrCMl3m7J5Mhq_Cq5vWL49U0oh6iY-5xZuc,12310
cds/modeling/model.py,sha256=rOShLakeq_yRf9hOLmlm2AD3tML0qNBOQuhgRwc88Gg,5510
cds/modeling/solver.py,sha256=mINYVwjt0Aab2BeW60mGauOZTdBLdR9Ks6SO5-dKOzg,6865
cds/montecarlo/__init__.py,sha256=JZy7diAHGGDBtwM2Y_sQeHV7ZdUtFXYagWD0oZ2D5PI,507
cds/montecarlo/markov.py,sha256=5usj4uR4wGTjPFJcTlmmskn7F9FX3Q0dJHx_impDzUg,3127
cds/montecarlo/methods.py,sha256=rhq0DD_V4fFTDGAvuEGbQspKyzTlY325AacBbjuz7wg,7828
cds/nlp/__init__.py,sha256=MK0mahTKpoOBf1A5vFsfug_sCwreHrfdk3fewGwPWf8,5063
cds/nlp/attention.py,sha256=BuRix90do9R_wWq40kA-9RpI0vfm5cG_Fre-o_cT-2s,9747
cds/nlp/bpe.py,sha256=rHS_R4hsrheYYaEJAJyomk_tuNXZPZoQAcshNVMA87U,17627
cds/nlp/data.py,sha256=OSb_7_oGs2m-v85WuQqSmTJkUxQ42vR_4HzxGt5Kby4,2815
cds/nlp/embed.py,sha256=a8ZZP8P8DiZGDG4GGKVujOKYLY001FJMdE-Y-k3rBKA,7382
cds/nlp/layers.py,sha256=2nFf2UX8hdLO81fRcW6XucIgTOIa7sdoOHmFhN_YNvo,7878
cds/nlp/model.py,sha256=jW4dzHdu-DKxYhfVPDGEGpC1J1FRU9c0c6iGRoahcRk,17484
cds/nlp/optim.py,sha256=nVn1rEurIjk3K5LTthSwI9dK940ALAiC36I2ilOn_-w,6357
cds/nlp/training.py,sha256=HzTkr_ECtivEJ643dJ2LxJeX8DYQ-hPpTpB8xv5e1qM,6224
cds/nlp/viz.py,sha256=idAU8TMEkNzwQnKrHL6zUkrWM91PJ476wOtApuzbMA8,10242
cds/nlp/autograd/__init__.py,sha256=XQqcBmL0dV5mP8hPIXhGqAja9WWhNeKY8snsQiGOTmQ,2331
cds/nlp/autograd/_grad.py,sha256=r17npJgnvfyZT1MBw5bqmZEOL6VojvveVhPq6X4D-48,4653
cds/nlp/autograd/ops.py,sha256=BBc26XzehfDyCRmFuptr0kr0sdmcQvecAXkT0X3ehfE,4671
cds/nlp/autograd/tensor.py,sha256=Z475yTm-9KmWe1s2HrSotjXtSnRaonWMRHBh-PbpcLU,11376
cds/numerical_integration/__init__.py,sha256=kqgk-jyUGQrIotM3Ioq4GJ13YrYMSWa_k2G7HniY5ls,810
cds/numerical_integration/quadrature.py,sha256=-lPNtSZ_5EEUqm2jm8sokcWWyITiqwAnBZs2Kg7v71Y,14351
cds/optimization/__init__.py,sha256=Ry3tuSnIc7-URg-gLE94J6-H6VjqUD-uXK_OAavomwM,586
cds/optimization/_metaheuristics.py,sha256=5pkx1H6L8DjSC_LFRLis5wO41AGusX9q8EASjRyFGzg,10406
cds/optimization/constrained.py,sha256=FeBNpNSb_F_zOKkfYaEyXo4FSn3NcvAhPQx7RkCK8tM,8381
cds/optimization/minimize.py,sha256=YoV3XoXiKKA9-38PbBSdP08jl8dQTwFYCwJ9hW13q1Q,14088
cds/pde/__init__.py,sha256=Z0Bpm8vkqEqhkWxhFZjZeV6yHPbsjxPMQ6VBLftLNAM,9951
cds/plot/__init__.py,sha256=ARFhoqe5aWPJruCNzoi_8Lc0ar3ROqattGtYUH6Kaf0,1238
cds/plot/_backend.py,sha256=G9ckzo9lX1Fv6gwsE2W0ptvhumWdVgMzahzvOFOlmZw,1151
cds/plot/charts.py,sha256=HMWXJ-Aswp5GweLLulDMOXPLiuFhi-bldPZO19qjQZc,14295
cds/probability/__init__.py,sha256=3L9snPzu-cq_WEgh80grVPNUUtwsRV49Hm0k0PoX6aQ,1240
cds/probability/_advanced.py,sha256=auGj7Kbq51VfeeKNe5ZafI3YdlsGXjwuFz928UgNXbc,9047
cds/probability/distributions.py,sha256=VmTVhEI3shiJsGeGsOMlzdvQG7HhzE469FuLX7gjUHw,5846
cds/probability/extra_distributions.py,sha256=GtXtchWZC59an2aectXwcCGYhUBpeRlBm4DMVsv6-Ow,7483
cds/provenance/__init__.py,sha256=S2KoN8ZYPRLgV2UOmGLY_eKUEuK20wOjBeiCO6BiAOY,396
cds/provenance/manifest.py,sha256=MY7R717ceSqbWzXxYzhZzRR-zD87Of2xG66C4gPPu6s,8317
cds/quantum/__init__.py,sha256=ci1QgK9kGhSPGZksZIjTAENJYwlLiQMUNHCAB7Xlvx0,785
cds/quantum/circuit.py,sha256=aW5IojaZIhEKSd1KV7-TjzoshRLiU8G5GginNneph8s,2872
cds/quantum/multi_qubit.py,sha256=e9NV8bLHyzJOeZ2p-WZvlvEcZmt9zu4B--r0Pe5PLY4,7591
cds/quantum/simulator.py,sha256=KnhwDs0-68GxxOGTotpu47ahFYin9XaCZAGsVYYgYNU,1133
cds/scientific/__init__.py,sha256=lLhlbShIUaiMR4RFSAyh4BA6z-e-TJJ2Y8EWIxZqGcw,766
cds/scientific/constants.py,sha256=IuvpzJKMrIYNvI6kSvgYPwjMg2xYEM3vzV-d9BbxHMc,1423
cds/scientific/formulas.py,sha256=RBMHXNC8Vf9Vyv7qalWEZDRkqj_Wmx9FbMkPogAvGNw,3380
cds/signals/__init__.py,sha256=qUkk7W9P2ToSdFYZ0qSr_qt2AQpp2D9rEpr2WayuZXk,1149
cds/signals/filters.py,sha256=OHb-JIgI2tbKnaRhIzd6Vxn5GK4TIdQ6SuguRkwdKM8,17171
cds/signals/processing.py,sha256=3dP9KmzYw_QNszE0_UspMa4PxfzHOhm7A9LXI7ZXuBo,6031
cds/signals/stft.py,sha256=pVLwiSH3thG3_1aPmcd1cb_vgBoqqqCxCWqUFCMY_PM,7185
cds/signals/wavelet.py,sha256=UpWAvEzY1uByie1FGjqYxuOFWuNmjODD1Uz6xQuzaew,5290
cds/stats/__init__.py,sha256=cbd0KuYgA5-u-LNg5afus2oHTRS_D4poWFMPHRPBPB4,2164
cds/stats/_distributions.py,sha256=OcWR6jWwr6cDFY6lkJ90rA8i8X0r7K85MeqPafW__Ds,2610
cds/stats/bootstrap.py,sha256=Y2F37LkwU1p84Sq8PQTVcFd8yldaYGot5Xq2154yztk,6724
cds/stats/descriptive.py,sha256=WlJEyj7mu_PuMeKIU2g-JHcsuDDXXEXhGBOSx3k7qlM,4861
cds/stats/hypothesis_tests.py,sha256=pV1HS3vaGdh4FYQHocOGoprwvCIN4jkpygGhWMVq4dY,13936
cds/stats/nonparametric.py,sha256=4dMltF2Hu4z99nG694jHopBrEVhjbp2I86snBwvdAR8,4784
cds/stats/power.py,sha256=TCClv7egfIahrX_E0o6RwPRHXCTCi6Cgn7oWJIKqmw4,10914
cds/stats/regression.py,sha256=9k52UyfwWOtYdxdrre4GqdcT2zalg075knJ6--oC9B0,1508
cds/stats/time_series.py,sha256=4k8c08pzKMogUNsqWMCYHzn2WLkX7Ht-NLTFTwecW1g,15115
cds/tools/__init__.py,sha256=wzHVcrLE6jIqCdRIBHujGWbuY7IdJyyTL1DIjHz1TcY,556
cds/tools/adapters.py,sha256=ZtxBeUAeegr_dmIESr7G_Bfcyx663EcrHAd4gd9Ew3k,4499
cds/tools/registry.py,sha256=KiHrsr3c8M4MGYOF7CPU9E6HmuRhtbAurtEpQiS37zE,5902
cds/uncertainty/__init__.py,sha256=EoAEHXegoIBf1dB6QgWcJkEvsGVeylq-qh3X9r5SP_c,370
cds/uncertainty/propagation.py,sha256=jrPYdfExxPXSs_3dKvhIDeiR_d3Lp0VfVldeshAW-14,8795
cds/units/__init__.py,sha256=UcaE1Sv3bAntQGuPN0zFMEVzaRvGkc6wkVkd_a5WBFg,634
cds/units/core.py,sha256=hjApaJRqXziq0bG9p0vEYrDqqKbVrR0J-nATzi1Zffo,5826
cds/validation/__init__.py,sha256=f156PBDoGDgrJNT01refoMtQeE3WfabVvwuQqxl2_wg,693
cds/validation/checks.py,sha256=8skSr9RNhVNHmKpwKyhZaClgY0Qi04KU7QNQ6QlrY3E,8812
cds/validation/report.py,sha256=pa3s6sSR-Dtjsy5WUk9KlJKOOIjCmNlWSLSK0P_u8VM,1388
cds/wavelets/__init__.py,sha256=lVmTO88iRkp1N-06b745xmloFBEehadecq9lIFwi0nQ,182
cds/wavelets/haar.py,sha256=87rEXW1ld0_uulbSy2aZ45l3z0ymhdVExpLKTkDn6JM,8359
cds/workflow/__init__.py,sha256=sIubPJwDJBj9vF_OsG4lISLzBtsfdEm_F8IGj_OTmy8,738
cds/workflow/engine.py,sha256=ABwjvA_U0L9qpzzVLU696ZSWQKBfGPImPgLSMmwVbuE,3985
cds/workflow/tooling.py,sha256=FdRTQYDrL_ei4DcI386hpuk_AAIeqJH6RnGOrBPxR2g,3840
cds/workflow/types.py,sha256=gVM06djl8GI9P78M_dx9JbEX0-KPt8MsLr7ufQFGzMo,2275
cds/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
scientific_computing_system-2.0.0.dist-info/METADATA,sha256=WBCGyKrCuhekTZZWbO6ellEe_qc3GaSizZ5Uap4Spao,37617
scientific_computing_system-2.0.0.dist-info/WHEEL,sha256=zOwg4jB6zX2kU910N-cMawjivD6tO8NEWvE12je1bVk,87
scientific_computing_system-2.0.0.dist-info/entry_points.txt,sha256=wGFcJjM1SET9sd8x6WX0WOVGsVoIRJ6LeF31E85_27I,37
scientific_computing_system-2.0.0.dist-info/licenses/LICENSE,sha256=GIA7odPA7v0zSqQfgBW_YoyTsNu058_DxugfvrwRoiM,1066
scientific_computing_system-2.0.0.dist-info/RECORD,,
