autofit/__init__.py,sha256=NVd0Hwbs0iVsUbBhUcO-gSSLQrVLW7S822ILqYurtm4,3345
autofit/conf.py,sha256=tq382lRFtcHST2Qjnb88mlxGf6BppidZzIW3iB8Wg1Q,2699
autofit/exc.py,sha256=406FWpRBiylBZT2e5T3XLZAIYvuVYreWE4C9_HavaHE,872
autofit/aggregator/__init__.py,sha256=_1usMcAFuC3JbPs74YXZiJmY_t4d86-XhsuTSqScUCU,100
autofit/aggregator/aggregator.py,sha256=y93uBLDLiKGYio8-b5aAs60lns6WYi58aEvo4xYQFHQ,8805
autofit/aggregator/phase_output.py,sha256=ps3t8ZeAqQ0BMgB98cHc1bkN-vFnskn-1YY8PQjMLhk,2985
autofit/aggregator/predicate.py,sha256=8Z2x-CjWQJ4NSMP94kSE9RuXLtbped22nh5TDvOYqes,9115
autofit/graphical/__init__.py,sha256=sL2BMCqA8J-NsOX6PJVn17zsTACg8eFyoFbsq3b5LHc,416
autofit/graphical/declarative.py,sha256=JRIm-7AAtn_OakbWPR-qOVxjcbVF7GBkjrF2b6KURfA,6113
autofit/graphical/mean_field.py,sha256=jYKlSPsMWCKd0QIFDPX6dMJwIaFNpQzH_MCI9qPJJiQ,9924
autofit/graphical/optimise.py,sha256=GhzrrHrt5e0RuNr0RBeLOHjFnwl0NZhzC2MNtogGbks,12307
autofit/graphical/sampling.py,sha256=gqZEJN3B6zMvtDd4141FFniHM8OHyeabk_VmD5wOMNQ,8648
autofit/graphical/utils.py,sha256=6gWfvvJbD6DUjLmN-X5XG4JjFAkvcZkNJoYLPeiOPqA,5099
autofit/graphical/factor_graphs/__init__.py,sha256=QM4ErKAd98moK_5wVdvv3atugfMbK1ZEzAAa2M0iMAw,365
autofit/graphical/factor_graphs/abstract.py,sha256=NJbqgWKgg39zp9Ye2wZAWw6s3bnmjC_nIGl4vpVvCPQ,4780
autofit/graphical/factor_graphs/factor.py,sha256=bh-GoM9j3teoOw1iPCO7ZD2MQii_Y1fm90K5__rX3Vc,12036
autofit/graphical/factor_graphs/graph.py,sha256=47RWzOioRhR9_OWtTdyoMJUWrbPOeFyw8_pUlp_eKXs,9667
autofit/graphical/factor_graphs/numerical.py,sha256=DgD4mgG7GDc8LQ8rqiOzc7srjU3cFZp3Uui3vcrReOU,3038
autofit/graphical/messages/__init__.py,sha256=hiDS-mhowLoQ0003e2ehMgG3-hQRFIFONlourtEHZu4,677
autofit/graphical/messages/abstract.py,sha256=__KbAE_M3PhEtx7E0m8sGgbCPvlVpb5dzfLjinHN-Oo,8200
autofit/graphical/messages/fixed.py,sha256=IhA8cOaWIZz1hnp0TxlCn2Zey-RCvV1V14u2hZw2fvg,1546
autofit/graphical/messages/gamma.py,sha256=DJMGS6399ikR73QIVFuf0iQFAFPxsYMLDvOmafixHSY,2073
autofit/graphical/messages/normal.py,sha256=VP5q8gcW2WC_K2BIsrD3uKxgio-9MGnZzoIKeDhm4Uc,2359
autofit/mapper/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
autofit/mapper/link.py,sha256=NGVhqmBkV28yrcet0gT9L5-uCAIPSHxmcW7jW86Wj4w,2527
autofit/mapper/model.py,sha256=QX-QPoeodsj5hANYGK3NyRArwC9lP1Cl04fBGgZy_iQ,7461
autofit/mapper/model_mapper.py,sha256=179ItQdtwit73v5cyGptXK1bNoFZVnuvzz-t2j81qfA,2823
autofit/mapper/model_object.py,sha256=BRakrPmqSlAj-5OiMa6xaePykBm4FUHVkX1qDg3ziXw,382
autofit/mapper/variable.py,sha256=5SYzy0x-NE4uMQ5OPJYJWjha6FDZn7i8u_Bn-_3JeUw,1925
autofit/mapper/prior/__init__.py,sha256=s60GusTJLMymt9nfIvVFsoDY_SVrEE-2fD23friFswU,143
autofit/mapper/prior/arithmetic.py,sha256=4p3U-GRINRUUyVpDABSOzEThDpF0E7aZqQtvEGJfLG4,5938
autofit/mapper/prior/assertion.py,sha256=P637i10I3aDp07sHXKy17oiZ-awfwn7y1vpclD2899o,2582
autofit/mapper/prior/compound.py,sha256=qKA-4PlKPw8QyhiNmLWP8uXX-oYujplrZO3_G_zXR9c,4050
autofit/mapper/prior/deferred.py,sha256=Yw0aiFWirD6t-A3XAJjf6mWN0Mu3-Yh9vXKObpa92J4,1998
autofit/mapper/prior/prior.py,sha256=4d-f9McwSH7b0zyjwRKybdPAEZI1vxyFEA3cMP1Kqfs,13515
autofit/mapper/prior/promise.py,sha256=1e3Y2ztiRbJUAmRnbv3DLs_2nbgNSQlraGqvsNLFOSc,13970
autofit/mapper/prior_model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
autofit/mapper/prior_model/abstract.py,sha256=OyUTi1-c4B6MFMp4DSmOga9pKTvQT_gslLlu0lT6w2k,30332
autofit/mapper/prior_model/annotation.py,sha256=HtS8kYu0B6_dYIuKMsrFTlcGpodJBHrh_PjYvGm2mu0,659
autofit/mapper/prior_model/attribute_pair.py,sha256=bNqgtVMyVPGn-ZTsi1CxDhb_Ca4_6mU00MRSX8kVzNM,1369
autofit/mapper/prior_model/collection.py,sha256=DG1o1slQcxoBjz4cMuhm0BnhP8R_qMTfJXodyXEMH9c,5668
autofit/mapper/prior_model/dimension_type.py,sha256=9ZZskCxX96ZCpvwPdLqyae_lsmV5WKgbBx3RgDdp55o,1362
autofit/mapper/prior_model/prior_model.py,sha256=V8cdyKCG7K5qOrOBme1B-WNzU-_0Cd2rwpj_T-q1QeI,11098
autofit/mapper/prior_model/recursion.py,sha256=oP_GZ9YWzd28lmeht0SjbuKG3S_sf1oVppNC0GY4qyc,2699
autofit/mapper/prior_model/util.py,sha256=PQG-Yl46IYTI8tx1VBW8HYxfRB7buvi-DwTXJeuIk9s,189
autofit/non_linear/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
autofit/non_linear/abstract_search.py,sha256=vTitipblGvIsI-gN7d50Hr7xveTXJWrEhm43hloatM4,28532
autofit/non_linear/grid_search.py,sha256=eWckEwBN6qqGCRP83l3xQijsDmWIy-RF4BaAUCm1DdE,19042
autofit/non_linear/initializer.py,sha256=nj5_hqnQ0Ycy81ZLTFdU-KwDUF_dbIoDOA4T90pe5ds,5024
autofit/non_linear/log.py,sha256=EcTWXn0-YAFFIHEwWoUwq5WFBWbHGPMTRumiu6NUPiY,90
autofit/non_linear/paths.py,sha256=SZqAcyjQqgFD5i2ew13B5YjarRCppmxtUlsd_iafuN8,11339
autofit/non_linear/samples.py,sha256=6pyxGCSd35rBMDuP48a6eQK_NOibOYvLqXs_xHtrC60,36396
autofit/non_linear/timer.py,sha256=lnzkjiCvftUkmEfA0iApA454QtI9c803NNJPsH2A5mk,2069
autofit/non_linear/mcmc/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
autofit/non_linear/mcmc/abstract_mcmc.py,sha256=rKESvxDjGKXnPSNgIbtOzKsTHQbs1YnXrQnC8483dRI,1391
autofit/non_linear/mcmc/emcee.py,sha256=pBZ7PrfASahptwpdeL10FhvFFXRg2ihcumzotwbEqnA,17790
autofit/non_linear/mock/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
autofit/non_linear/mock/mock_search.py,sha256=ue-7bbQQi_iNi1xNg6uDFFB9LyhZnfi45zu9NNSj2WE,5245
autofit/non_linear/nest/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
autofit/non_linear/nest/abstract_nest.py,sha256=gN5EthnEFEwGyXPofrT4BWvWhTDFqy1bpE_MrcCBUpI,9560
autofit/non_linear/nest/dynesty.py,sha256=YI0a6qiauI-0v8rI1Obl4kTIOZa-hVgD68qgLW8GfRs,51231
autofit/non_linear/nest/multi_nest.py,sha256=C06CgqViGS4ucroP2bI1ddeYKUnR4dd_WVroncDmErU,19631
autofit/non_linear/optimize/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
autofit/non_linear/optimize/abstract_optimize.py,sha256=nhWXmaYrgADbXvs2yBP6_C9Za6-jbJ3kpkNGOeUJCIo,842
autofit/non_linear/optimize/downhill_simplex.py,sha256=31m6jxYDBgyqDMBAac7nV4sxdCQ79R4qjWlf-0jdQP4,3100
autofit/non_linear/optimize/pyswarms.py,sha256=ISwdH7dFcRW8bn_Kb_Tjxx1OCuYzhXF8jtOTyjSNXAQ,24797
autofit/text/__init__.py,sha256=aU9iJCw5RblaVql4jRjCA4Wg9LBYYd104WRv9JqCOPc,49
autofit/text/formatter.py,sha256=a3Kiq5KcG8ETBtxQO9Vsp1abhkluG6OKGung4CnCva0,4830
autofit/text/samples_text.py,sha256=v96HWAs1kH6E2Cm-Xbp2i4-Zx1k4KxH0US0HI_Qgr7c,2516
autofit/text/text_util.py,sha256=Z8UQaz1bywTCHD4quLuVv6opZdJ_J1DAdG81zZvl3qg,3193
autofit/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
autofit/tools/edenise.py,sha256=Y1b047ql0FT6AI0l-M6-hrJF4bQI5M_KUrd4Wz2RauQ,4467
autofit/tools/phase.py,sha256=G3MbEFqEdb2OVxmHirhP4cX9ZWwymguxicoKQaGcZTE,7846
autofit/tools/phase_property.py,sha256=--_QM-yfRGx7gQkmeQ1-dcLekkhrxSxBPOF4sxuRUgg,1454
autofit/tools/pipeline.py,sha256=oGM7cS9jFXjRJbtygBrN195pBaaQxy4NUdZE0V6HxUk,5328
autofit/tools/util.py,sha256=tRPefRJPcrKlOK3r3ilSwC0Gd_Or34fx5PqNfJMVWRE,1370
howtofit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_1_model_mapping/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_1_model_mapping/tutorial_1_model_mapping.py,sha256=JEck5DFrhgJIxUjGtwjBvHQmCw3tuiE24d5pJQgYamA,12096
howtofit/chapter_1_introduction/tutorial_2_model_fitting/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_2_model_fitting/tutorial_2_model_fitting.py,sha256=b_oZNx-hsjfaOgRVtMwQQvzhob68liuiR43fsPTQFz0,14581
howtofit/chapter_1_introduction/tutorial_3_non_linear_search/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_3_non_linear_search/tutorial_3_non_linear_search.py,sha256=lRIl-WaMin7a7VeEaiPOBSFLOks1iDmSfL6KkTxj-zc,11250
howtofit/chapter_1_introduction/tutorial_4_source_code/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_4_source_code/tutorial_4_source_code.py,sha256=efi230uxATld2Lv_zEhum0AjQnV5rQR91n20BntlOvU,11478
howtofit/chapter_1_introduction/tutorial_4_source_code/src/__init__.py,sha256=ioDS9AtP9dqfF2XIDMngPm5LRScW8xEkWn42cBJOgyg,156
howtofit/chapter_1_introduction/tutorial_4_source_code/src/dataset/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_4_source_code/src/dataset/dataset.py,sha256=CzepH6QQHOJ3JGtpQTBjwtDNCFYTUz8zZrV2fqKNC-Q,1697
howtofit/chapter_1_introduction/tutorial_4_source_code/src/fit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_4_source_code/src/fit/fit.py,sha256=bWnC6G7AinsbR1MhEu8SvnRN-_PSQGD-oUTA4M6oZ4c,6478
howtofit/chapter_1_introduction/tutorial_4_source_code/src/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_4_source_code/src/model/gaussian.py,sha256=AExmyGHbMncPSMGJaDHE1dKqBnx1jpmv4WbJJRocGb0,998
howtofit/chapter_1_introduction/tutorial_4_source_code/src/phase/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_4_source_code/src/phase/analysis.py,sha256=--jadj19QO58OZZDz1mSd_xEgasBWmDY7U3f6yZQXq4,2537
howtofit/chapter_1_introduction/tutorial_4_source_code/src/phase/phase.py,sha256=GOcae1THy8mdPRF8a8Y7MjGHQV5qit9UgcA4pywXNv0,4096
howtofit/chapter_1_introduction/tutorial_4_source_code/src/phase/result.py,sha256=frwj6LHW5HkQsLoVq54xaaWRtZ_brLbbXKnaoZOSNTE,1571
howtofit/chapter_1_introduction/tutorial_4_source_code/src/plot/__init__.py,sha256=h9bkFffpbD3csCrNwLHOitVMP--0PS7AP77HjvoCrK8,110
howtofit/chapter_1_introduction/tutorial_4_source_code/src/plot/dataset_plots.py,sha256=MH3aM3O9UGSWvYGcD37FKxRR9rcGIhNorsSefRKpHcA,1183
howtofit/chapter_1_introduction/tutorial_4_source_code/src/plot/fit_plots.py,sha256=lXYZrCR2uqFGcDArZuOnckIWrap-351chBuRw6DvKV4,2970
howtofit/chapter_1_introduction/tutorial_4_source_code/src/plot/line_plots.py,sha256=cw_vBzVxtcVcuS6_LXfxj2gQa1Vxz3mv96ZvW_t2QMc,843
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/tutorial_5_visualization_masking.py,sha256=mVQJo9BKs2p5XdYAK15zVwQGfn8c9ANkGedJVo8TBOg,5041
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/__init__.py,sha256=ioDS9AtP9dqfF2XIDMngPm5LRScW8xEkWn42cBJOgyg,156
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/dataset/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/dataset/dataset.py,sha256=BnlqdmbxwtMgmzx-LUfLV-EgBgm836BjOfI6Z-aqIaM,2151
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/fit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/fit/fit.py,sha256=IHii_WWqYTAcTAUK5uh9FlwBOtLAcaprSvTFWUUyCw8,7597
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/model/gaussian.py,sha256=FpufpWxmb5kESfJaavFZC9H-WYouZfueqbkl1vG7AKg,1481
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/phase/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/phase/analysis.py,sha256=XhxNWhC1bSGLQLb0lwwPHDcNabUt7f37WoXJhSZW7KY,2844
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/phase/phase.py,sha256=cIU9SHIXDL1Z_OB51Sig_UIAoK-ipIHCROBnrwsghMg,3389
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/phase/result.py,sha256=rchT5FoVU_wzGII81PPVFbOL_F8C5kLAR_xluTp1N4o,1087
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/phase/visualizer.py,sha256=f7Kw48LbS9sjeVTD_UMEDSKhfcnevMEVnyppuZax5F4,3474
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/plot/__init__.py,sha256=h9bkFffpbD3csCrNwLHOitVMP--0PS7AP77HjvoCrK8,110
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/plot/dataset_plots.py,sha256=aYb4JOexQV0JIwroJA8ea7fuLsdWsQAxDQyzVwHkVNQ,1749
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/plot/fit_plots.py,sha256=bTTKOVFzuJBGurxSu-kT2wfMv3KEYFzZkHagTjRH71U,4324
howtofit/chapter_1_introduction/tutorial_5_visualization_masking/src/plot/line_plots.py,sha256=H7NDSWbLp-8fsLJgSw8s_apZyaZUw9V1yds8VlEbXIU,1578
howtofit/chapter_1_introduction/tutorial_6_complex_models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_6_complex_models/tutorial_6_complex_models.py,sha256=rbOcfWlcYBcsBYwU2IFnIYQjir2K_ADMpk4Iqj7IV9k,10025
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/__init__.py,sha256=LBrn9G73B2Auvog3f2SrLWAB0aW8Vw-rWMAT3alrT0g,147
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/dataset/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/dataset/dataset.py,sha256=z48MJNXodkm1G6iellRB5gVXU4yOmzTCdhCNcweYTeE,1553
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/fit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/fit/fit.py,sha256=R6ZgHJnv1smUC05VQ-edkfLBK8RKP8DatvqWqIDSQeU,7093
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/model/profiles.py,sha256=aqpvZ87Jk_wyhQUlwoWk3GR4HD-EBquHH9j0gDZtTrs,5451
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/phase/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/phase/analysis.py,sha256=CzOl_jMrM-OAvuQBiFWZib_93hZLzAxN1fONqHaeEz8,5073
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/phase/phase.py,sha256=G4yUTqO5T-wAjFPIIrffdZGVWxjYy7p5eQhM0U-ktIs,3395
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/phase/result.py,sha256=68yxuY_hGYLTDCP5MHNFi9lZ0KzBrxYlP5Pq2AwuBlQ,1646
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/phase/visualizer.py,sha256=IOCOdPdMO5xy1ox1xe7zqhJBySwkhwsWd1ZjVQW0O0c,2088
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/plot/__init__.py,sha256=h9bkFffpbD3csCrNwLHOitVMP--0PS7AP77HjvoCrK8,110
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/plot/dataset_plots.py,sha256=Cs5vQ1XaF44FB6bxSu5UAB-hbx1t2dlzw80gSeDLfok,1256
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/plot/fit_plots.py,sha256=RZeqyO22DkU1Y8_frHdu3ZWaW8aNG35g8me6ffGOFIM,4485
howtofit/chapter_1_introduction/tutorial_6_complex_models/src/plot/line_plots.py,sha256=y3iCxTpZGqfId-4rrItKJjaalXqmMT-L5RhzrGPANXg,1442
howtofit/chapter_1_introduction/tutorial_7_phase_customization/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_7_phase_customization/tutorial_7_phase_customization.py,sha256=tW3zP69ICOFnnYey_8MUZJvKB6asOOCe6g_vPLk3B7o,7789
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/__init__.py,sha256=4xI-v8VYBfOaBTUdptwvyOyZyUAeQ-RcYBGr-8E4b0U,227
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/dataset/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/dataset/dataset.py,sha256=HKsRO70MrkMkCezqpPfN8gjLM0rfcguXhq5jM3XifJQ,5739
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/fit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/fit/fit.py,sha256=rlelx7g8ld60W4PTw-HWtO5KSuW3x89pRbT-Ny7cUug,7071
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/model/profiles.py,sha256=TemRFkzf5xXT5inbYBkkSVxMlVhRXGwU7c3kP1OlsOU,3395
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/phase/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/phase/analysis.py,sha256=zBaX5fx_RDFlW58oQ55p00IvaYg0JdF8eFkstzW_f-I,1983
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/phase/phase.py,sha256=0faxsGEFabh2-e3fioPQA3gNgAW-Dp2JK-BhzgEoc2I,4401
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/phase/result.py,sha256=rchT5FoVU_wzGII81PPVFbOL_F8C5kLAR_xluTp1N4o,1087
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/phase/settings.py,sha256=TOuE7sw_QvYNiStPH2cRrLmwCGdTH_j_oujZDRdtM34,1730
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/phase/visualizer.py,sha256=k7M-rpLbDyTvd4VY3r0w5J8yicfDI-1FhmNGCiAjtA8,2093
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/plot/__init__.py,sha256=h9bkFffpbD3csCrNwLHOitVMP--0PS7AP77HjvoCrK8,110
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/plot/dataset_plots.py,sha256=99SSnOz_YNCCSPU5LQPdO50cac4CobeYgXu3yNQQzAU,1279
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/plot/fit_plots.py,sha256=FLRkqxJoQ0CfKusNKpezvUXzwde_lx3nOBegM_4BY0k,4504
howtofit/chapter_1_introduction/tutorial_7_phase_customization/src/plot/line_plots.py,sha256=VWDHe5LHZgOAhvcDnZ9Zez6RD20IYuz3kSBeHK7yaN4,1457
howtofit/chapter_2_results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_2_results/scripts/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_2_results/scripts/tutorial_1_results_and_samples.py,sha256=Uw55kA6CdnYyDZImx9SqEoJHj6vsiAE3H7AcrkGo34E,9772
howtofit/chapter_2_results/scripts/tutorial_2_fitting_multiple_datasets.py,sha256=8WELOcjPO4a1-T1yePHeYIZqcaa56G5jjsSm4nZfkUE,4510
howtofit/chapter_2_results/scripts/tutorial_3_aggregator.py,sha256=Z3Y_QlvXAk4LFvAIAAXvTWcDO7bauiWgJGEgKeL0LL0,7179
howtofit/chapter_2_results/scripts/tutorial_4_filtering.py,sha256=uSbxYIMJa5_wdu0yUzdkeMJuHDcmkW5S7Dkffs-pDKk,4406
howtofit/chapter_2_results/scripts/tutorial_5_data_and_models.py,sha256=iZOMjmZrRHPqSGGWLGz1Ch6wQ81mAz4lWLUo2KI0duo,8797
howtofit/chapter_2_results/src/__init__.py,sha256=gQIlQ7lpVLnCTVIqodfszSIFqCWoVRbmiliXQLDxwRQ,264
howtofit/chapter_2_results/src/dataset/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_2_results/src/dataset/dataset.py,sha256=7FUWkMfdR5ZF-JuVuMCvBYqwPDM4L0D_5pzf1EUc44M,4886
howtofit/chapter_2_results/src/fit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_2_results/src/fit/fit.py,sha256=oaYcpnPWyNVBZku9ONjyr3E4uf2-QFddh0qdvwNgWHE,7446
howtofit/chapter_2_results/src/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_2_results/src/model/profiles.py,sha256=4bCJK6R7dLivjcd1SgtDRJnA_IiJIg4wCUDVq4HiDZA,3391
howtofit/chapter_2_results/src/phase/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/chapter_2_results/src/phase/aggregator.py,sha256=iz7QMqtkZMtjRwhL0AgD2sjpeV32B1bde6-gymTUQsk,6196
howtofit/chapter_2_results/src/phase/analysis.py,sha256=mrKLbxohjghxt-zL6E1-oE1wEfnAB3poiK7SAAR2yxs,2646
howtofit/chapter_2_results/src/phase/phase.py,sha256=vgJ1-jYhyKzDHQGvWMiI5P0AOU_SF92_2cfuOfo0wPg,3363
howtofit/chapter_2_results/src/phase/result.py,sha256=RYVs1_gsXU4QjuTkTsblC_XXw9NRjDCzvl01bgN9U1E,1084
howtofit/chapter_2_results/src/phase/settings.py,sha256=BlQgf6lqEo1thLjjhvxtrrQRwjvoFBLfmK5khep53ao,532
howtofit/chapter_2_results/src/phase/visualizer.py,sha256=EAkmI81uldKkGrfw1LhcfqE2eNnsMvYX6ADoHKzVAlU,2053
howtofit/chapter_2_results/src/plot/__init__.py,sha256=h9bkFffpbD3csCrNwLHOitVMP--0PS7AP77HjvoCrK8,110
howtofit/chapter_2_results/src/plot/dataset_plots.py,sha256=8trqg0rgVRJdBJmI1AO-hKZXNQDcZ7viX9xkcKk9j3Q,1234
howtofit/chapter_2_results/src/plot/fit_plots.py,sha256=GO6l6cNukyrPy0z5XF4QtaIL-scItjGSDgVam7oo1qY,4459
howtofit/chapter_2_results/src/plot/line_plots.py,sha256=VWDHe5LHZgOAhvcDnZ9Zez6RD20IYuz3kSBeHK7yaN4,1457
howtofit/simulators/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/simulators/chapter_1/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
howtofit/simulators/chapter_1/gaussian_x1.py,sha256=RFoAL9LK0IZhHSaxhlL-f-UeRgtY387HfonR93h6pLQ,1145
howtofit/simulators/chapter_1/gaussian_x1_exponential_x1.py,sha256=rO76-IlL-g1u25K39wgjvRtw-jZXanerSehMmX0Gras,1408
howtofit/simulators/chapter_1/gaussian_x2_exponential_x1.py,sha256=sk_RHIz8NPaQdVwLP6ySAtsPivuqQ8Oz3e6DfVf2HYw,1552
howtofit/simulators/chapter_1/gaussian_x3.py,sha256=Xb2MHIBiXBWjyeM--XYvgKJQbdQ21PkGg5doIbSC4Mo,1486
howtofit/simulators/chapter_1/profiles.py,sha256=CigRecL3tPbWysBSiSCGnwK6uJyrizHBupjXbkqTT74,5400
test_autofit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/conftest.py,sha256=mFWNz6j976aEnyvasmDW-kv0sf4yofKcgyGpsskfqzE,1743
test_autofit/mock.py,sha256=ig4boe8eCnyULM6pqM7175gIWenMr-1zH5PYTzrg4bk,6118
test_autofit/mock_real.py,sha256=66Y_zOygtOUDUGfAndQ3bLcQLmOZJsaYhlLw9VDdXwQ,11483
test_autofit/integration/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/integration/simulator.py,sha256=MBGgwFL2pWr9ZdvonPXuDyQaYXhrhs3rlNwHQ71k-pI,3046
test_autofit/unit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/unit/test_equality.py,sha256=CwdjB6JciXo1WfKkIOB5PAkdf1luiBXcUK1O9_iMB-o,2010
test_autofit/unit/aggregator/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/unit/aggregator/conftest.py,sha256=uA3895GcIykVDgWERqLc7Rg_wQr67tw63E2h0bgUME0,1105
test_autofit/unit/aggregator/test_aggregator.py,sha256=UZsW_j8agXA6N-BCXyXUa7FTwex4YljXcca7phqDVV8,3943
test_autofit/unit/aggregator/test_filtering.py,sha256=b8OUG_nGijhYFCvCYBm8vG2aGT7wRuEsaUbb4kMvfpo,3689
test_autofit/unit/aggregator/test_numerical_filtering.py,sha256=XvyfpaR5WG_ZtVDe9o2c_LwGU7z9SenVMS21pii_sBA,2143
test_autofit/unit/graphical/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/unit/graphical/conftest.py,sha256=hlLlIhpn9F0KqzRevpDMhTOyVWgGpgdGP6gxcWEBYX0,395
test_autofit/unit/graphical/test_expectation_propagation.py,sha256=JDVb_Sq4DjcNmEjJqSKPN62grXaYm_kltGUNnVQk4W8,3227
test_autofit/unit/graphical/test_factor_graph.py,sha256=kmvaGbXhNVAFqfsXzctuavMrT9dMHzB8KMzhrAi55Vw,3456
test_autofit/unit/graphical/test_lotka_volterra.py,sha256=Ax34v9S-PL02lfeDvbDwDe4zdoYXOkyomJXyvdaiPhA,4750
test_autofit/unit/graphical/test_projection.py,sha256=uzrd-_QIkj-gOytXPU6j8vz9vzqEkyouH5urF-GUW6w,2049
test_autofit/unit/graphical/test_scratch.py,sha256=ZjaPlDcrSXwfg2LUqgUY2Rla82fOQQbC1rsQeRk89cM,349
test_autofit/unit/graphical/gaussian/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/unit/graphical/gaussian/model.py,sha256=UzeVZ_oyIWhh3FPWUu1g2iC8uw7fn9ejYGtrp5UzDPM,2484
test_autofit/unit/graphical/gaussian/test_declarative.py,sha256=Uw9rHmib8pD6mOyUoLeSrlhy00ibyybhO8y5bUZPSNc,5356
test_autofit/unit/graphical/regression/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/unit/graphical/regression/conftest.py,sha256=Xf5V6Yy_-ACR7hXKbMC2WKuBt3I-ZR0CxYsOQ7JGRvY,2046
test_autofit/unit/graphical/regression/test_linear_regression.py,sha256=z5SYMbwuxCCFsu1p0MibO7IcWUYb63I1cOHTdnIN1qQ,2670
test_autofit/unit/graphical/regression/test_logistic_regression.py,sha256=ZEXLa_5g3c7RFTEYWsVO7rlAluQD0m-PNF-dQjert5w,2643
test_autofit/unit/mapper/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/unit/mapper/test_abstract.py,sha256=arU-c-yhmfEHNEZrqAxIzHVqVCChulFwiyyj2vOnTu4,810
test_autofit/unit/mapper/test_arithmetic.py,sha256=_XHvEEzqJ_Z30Gn6Agw_Cj3F71uOPWUG6RJ6-y-S7Rw,4123
test_autofit/unit/mapper/test_assertion.py,sha256=HfVM8sQQnpxPwyhkQv972m9DhJk9W80v1-4h5_qoB5k,6322
test_autofit/unit/mapper/test_from_data_names.py,sha256=2_n_uxgom7t3HKe-HMEwsSjWbxKoEsEZvw0T5rlmajs,693
test_autofit/unit/mapper/test_prior.py,sha256=ecsaffgoweAGVTZpQxk_GiQI2EWzdQtWahN73mKdxZ8,11298
test_autofit/unit/mapper/test_prior_parsing.py,sha256=xqAfuwgkNys1b7cOcfLL9y8ePpd8_X7LJZqup5lp51Y,3333
test_autofit/unit/mapper/test_recursion.py,sha256=UXyhLhAXdKnNJ6FQhljt-1auHuS-eTdWzLhp8yz-JeQ,794
test_autofit/unit/mapper/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/unit/mapper/model/test_deference.py,sha256=buKlLw2oZ1QfZm7VMZ9S_MCf9Ax1XR_eVkvCKRFUStw,1309
test_autofit/unit/mapper/model/test_link.py,sha256=JG-RgcAgoFcIZd_D65zLS1N7fRw28tMfTRNL7JtwxkE,2638
test_autofit/unit/mapper/model/test_model_instance.py,sha256=_1R8mgmXnQM47Y_Oetz2GllafSf1_8K5nJnQL2qlcts,4656
test_autofit/unit/mapper/model/test_model_mapper.py,sha256=1EsQgYlQARAKi7yatViO1em83oBo3aKiMojqpVQe650,30833
test_autofit/unit/mapper/model/test_overloading.py,sha256=WxbmEJ1wvXm2S4r6_HLqrSim28vJbYTc6Qe7AmyDLLs,614
test_autofit/unit/mapper/model/test_prior_model.py,sha256=A1SBO8wC7jDfksttDLIX7WaCeWzISm5eBLVDlCtRQ_8,17690
test_autofit/unit/mapper/promise/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/unit/mapper/promise/test_iteration.py,sha256=eb_9NgdS8rw_m-6KYHgguMntP-gzdhcMVKvWtrVXIhw,2076
test_autofit/unit/mapper/promise/test_promise.py,sha256=IML0ZDq3QwhhckJorV1-pzKdIBFXy4SYYa91kQMgF_Y,9938
test_autofit/unit/mapper/promise/test_with_type.py,sha256=WL8PFgYSJT4miqUTxiBETO43WWatoRgbOzOu4lbafzw,494
test_autofit/unit/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test_autofit/unit/tools/test_dataset.py,sha256=CU1ENBZKEHH3hUQ-b7qjblKLvYqsisGhrd488jvYgEE,169
test_autofit/unit/tools/test_edenise.py,sha256=CHQA8VPaajipi0jLeeDRxtTurJeypgJicCJirIjdpZY,2391
test_autofit/unit/tools/test_metadata.py,sha256=O5aB-wMnTPEGwy--u08vaV311DJSc_n38ZqOumsR0ak,566
test_autofit/unit/tools/test_path_util.py,sha256=iBoLmHPpqQkc94L13UYNmpTKixhqVlwreKyrdtmgUwQ,1043
test_autofit/unit/tools/test_paths.py,sha256=MD8xVQj6cjogk95pmihmXHf0DVwVV5pC0mFr24DqDrw,1235
test_autofit/unit/tools/test_phase.py,sha256=-sabdvTvjzw977iwkPMsQ9njg326JLKsYB1vRFuPKGI,429
test_autofit/unit/tools/test_phase_property.py,sha256=9ikpGhbMp-qIdRdyD8vhV3e7CRM3FBTmVH4X_wiSmb8,6364
test_autofit/unit/tools/test_pipeline.py,sha256=d9cfzU6uTb5aGuNupnWbI-5fd_ERLyVz-spw8E0BQS0,2911
test_autofit/unit/tools/test_pipeline_composition.py,sha256=Ihciz5a-7h8akmrGrvRd1tw-WiJ2jna63nN937duXng,1638
autofit-0.68.0.dist-info/LICENSE,sha256=nmSdo-lr0w1mSmhFUBgItjiOa_8YoOdxqXKOdm0IMh8,1070
autofit-0.68.0.dist-info/METADATA,sha256=vOBgsqLGE316_TcXbEJG7Bo0sgvMmYk8SCMVGiGWGnY,7988
autofit-0.68.0.dist-info/WHEEL,sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec,92
autofit-0.68.0.dist-info/top_level.txt,sha256=y4BEwLiS-uO0kkstUlGxKT3b5sP9zLGQmdV_tGAq--Y,30
autofit-0.68.0.dist-info/RECORD,,
