pymultifit/__init__.py,sha256=WYLM1foM__aChbJ-n5NElsYphD13q0H9OYyLtTWWwRU,2204
pymultifit/version.py,sha256=-4sYsHoSaZIYgBXO0JyUUst9vZ973EjYRUEupc_jzrc,332
pymultifit/distributions/__init__.py,sha256=a8BNSCs_fPWoBGFPrQ-vI6aRziqT0Q85qj867ZOPJ5I,909
pymultifit/distributions/arcSine_d.py,sha256=o-JHXggsBS8HI1MpVfl2dNdfDwPjUx59qVBONJf0MdM,4469
pymultifit/distributions/betaPrime_d.py,sha256=4b2U2QSjoYmMTfQtuMvGlznR5OhS_h3uG8-SnNfcZFY,5191
pymultifit/distributions/beta_d.py,sha256=r1MrOgpeuRSBpdTfPcgT6FaXjkdxDMLDFRrIEnZOaHc,6151
pymultifit/distributions/chiSquare_d.py,sha256=tCxg5ICMcZYlE79pS_c9otXG93-SMTeAl-jUcBGd2Qk,5571
pymultifit/distributions/exponential_d.py,sha256=xim3RXPeN5misc-QsZvWO-pQ6dunc16d2AQOJ4HBr6k,4899
pymultifit/distributions/foldedNormal_d.py,sha256=cFSj4UqLGFFJQ6BXwc0uUYmv8B4EIu7vPYkHqVwSZ4s,5469
pymultifit/distributions/gamma_d.py,sha256=Garawra4HEXBLoD2LjYLrWMeMuwtfum4SzlzZY1xS4g,5462
pymultifit/distributions/gaussian_d.py,sha256=Ya7Ku4QpFbZR0niID3xSz2mMUlbFTE2HKCORZoHeHAw,4671
pymultifit/distributions/halfNormal_d.py,sha256=S_LH3MfjZqZgtmSCX0SUUcUbxTzYdBYHAoJjQ7iDvPc,4945
pymultifit/distributions/johnsonSU_d.py,sha256=FcVyDbbUq7fgP9OcG5sQR8vL8QqE_WWSK75iar2Iz2k,2531
pymultifit/distributions/laplace_d.py,sha256=oNynUGFqp_87Ie2IyunjC16dTxu02r5YJV4oVkMcS7E,4732
pymultifit/distributions/logNormal_d.py,sha256=WSG9x-tq91-pApDMLu7GXtv3NtCCP0DR83qFJRuBAaE,5491
pymultifit/distributions/skewNormal_d.py,sha256=kS6q-e3lQQ1ER_BjzhOh3EoUS8AG-bvyoelw-3BHzMk,5939
pymultifit/distributions/uniform_d.py,sha256=1issGqKaUcHxgP0MY2daPAulWphb8NjqZwrAFq14Tf0,4623
pymultifit/distributions/utilities_d.py,sha256=YbpusX4mPKo20B58kihw82Z-_8zwh4YPJkayAxVKgck,82299
pymultifit/distributions/backend/__init__.py,sha256=z5-Nkbw5q1gOwzKr-GQzxCiyns-bL3FatZhFyRQSDWU,159
pymultifit/distributions/backend/baseDistribution.py,sha256=g91koCfmNgasAbeoLdBBdZ4AEWsQR-2-ML0ea0DZ70M,2859
pymultifit/distributions/backend/errorHandling.py,sha256=TKmAhyllC950-gbW0KTLv_ilUlX02sMJRM9GSSLDDF0,2352
pymultifit/distributions/backend/polynomial_d.py,sha256=186cqn78h8l5__eotN2dn0DBxMu2ncw2xNou8fUZaGQ,2067
pymultifit/distributions/generalized/__init__.py,sha256=gS-Q1tCFXOLltfRB-vnqL_E0GsAjsp-JnghJjVU7KTI,170
pymultifit/distributions/generalized/genNorm_d.py,sha256=B6EO3lo3ckkK-D7rtyYq5Axvu1gV5tKPLaSgZv85XPU,5150
pymultifit/distributions/generalized/scaledInvChiSquare_d.py,sha256=UgeL7etVws0w7VzjhdoZwELkHQprxiJK9b6EZbSedmU,2510
pymultifit/fitters/__init__.py,sha256=ZVD7NjOIdEdppKhzBEOYKZ_C2TmVDHg4ocvztpOh2p8,512
pymultifit/fitters/chiSquare_f.py,sha256=Z3P_qglTPkU4EKPxyaUUE_wWZpcwz9fXwtG8GyzPUXo,907
pymultifit/fitters/exponential_f.py,sha256=Xg3GpyJfTxwUwH0g9K1jaJAhMn-nV_UYahXZcn4ojCM,913
pymultifit/fitters/foldedNormal_f.py,sha256=CQ6OlCtZOnFd98GboYSZSYRIdeoVZYGJd9P6ain2PnI,860
pymultifit/fitters/gamma_f.py,sha256=2mQCopo3EKuSfDppAta-Vgm183n3QntS977spcjJZYY,899
pymultifit/fitters/gaussian_f.py,sha256=O9QHjBH1UyNMypMxaAAiL9ieKmNokVfrmZKnw5WD8OM,842
pymultifit/fitters/halfNormal_f.py,sha256=RbMXhKfq4ZTHcVl_taFz1TOCg8u9SKzQe9bB8pe8tGI,911
pymultifit/fitters/laplace_f.py,sha256=CGygqhPdxlpjJdtx1sM2k9L_yR-BoVfLt3Vwm5zXohs,838
pymultifit/fitters/logNormal_f.py,sha256=KFuweqsnMbzhjL7kao_u8QHzvnEnUNab8rXoKx2iF7k,978
pymultifit/fitters/mixed_f.py,sha256=GNW0Q7XzfmscnbO7DAsWuPw1cz3CA4e7bEC6MXykBqo,16535
pymultifit/fitters/polynomial_f.py,sha256=7gq1B0MxCVhxmpWzalKEUklgEBGGWKLHyAYiyA8-gJk,1792
pymultifit/fitters/skewNormal_f.py,sha256=2vJhLtpPdeqYFTl7xiZBgebTkIVV_iBetjxJ6z-e9pY,869
pymultifit/fitters/utilities_f.py,sha256=IQ4SqQKsEmqyu8W4-FpG6CBaH7Gb8oQeZLm-NQ-5NPM,4979
pymultifit/fitters/backend/__init__.py,sha256=Vpxw9MVtj3UeFIwguMBpGwxIJq-JAv7eM7n0Ryf-o_4,74
pymultifit/fitters/backend/baseFitter.py,sha256=mtN7FAqdqGkt2Ym6s8lh0hfoFF7YudfAqnfGxXK-CRY,16843
pymultifit/generators/__init__.py,sha256=b_aiAGkqB3o2MlcTg0Bu_S0eGwlujF7eDf2LEoTcGl4,299
pymultifit/generators/generators.py,sha256=cDbC9FI-JvlCmI2MqJzbTn3JnTszU6go8E3Jo9JCo5k,8530
pymultifit-1.0.9.dist-info/licenses/LICENSE,sha256=58GEbLt_35XXdCS-WkuoHsxQEjnTRkoPbL30hRWquZ8,1080
pymultifit-1.0.9.dist-info/METADATA,sha256=pqAWAAYE3ZAwzooWsytw1MND1ZoktiIhsgSj0xtCARk,4444
pymultifit-1.0.9.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
pymultifit-1.0.9.dist-info/top_level.txt,sha256=gwo-E0g8iPpVMCR9agfALy83s8oeo7-pHBMw8AWQGKE,11
pymultifit-1.0.9.dist-info/RECORD,,
