tramway/__init__.py,sha256=sTKFhazopk9_RoDGNocxKNNLzSNbQWUgmBoikHigVG0,556
tramway/__init__.pyc,sha256=Knyh-qKPbsUACujWpD9tD-jy9-cjXkA4Q2zp5xvqp5M,458
tramway/__main__.py,sha256=MS9Ts5kpvjTgsXg9WjnTEV_ywsrrFaNTxFeR_kRQKo4,22618
tramway/functional.py,sha256=qm-gwbWtW2hSKsfuEt_BG9sZjcD8r7P3JFpO8w1vdjQ,12046
tramway/__pycache__/__init__.cpython-35.pyc,sha256=1Ydh_zUsYbFCUqodHbfol5frUV9-mWNQwYIxm-2BDME,406
tramway/core/__init__.py,sha256=zjc7ePNjWc2pHjyuzXE-0lKhgbEjAqTKV2UJUJ_zEnA,703
tramway/core/__init__.pyc,sha256=SXzfDUazG1ZxTVaOAv3lj4M0KG2ePu7ILuggf3bmUZs,412
tramway/core/chain.py,sha256=f-gnXi6WEVAgNO2mMygnhDKPhsyHV5_1zGgQUbHFNvg,4195
tramway/core/chain.pyc,sha256=HM-yVZ39UjrlNphf7rtRzdY_oXq72Aq9zQeGPT20pBk,5626
tramway/core/exceptions.py,sha256=WudQoF3xE-bkzgH774Q07_cksjPeKuFXameWz_gRQPw,618
tramway/core/exceptions.pyc,sha256=yCURB5GOQuZhf0s601SkN-niO1aA6Y0WEkH5OsTV3XY,2202
tramway/core/lazy.py,sha256=LAoWOHR0Oj8DDEOSFvPqm-gRTIfI-2CisS79SjpWtq8,6511
tramway/core/lazy.pyc,sha256=tN7Xroy-PZNT4LsK6Tv9wPZUuzyukOidUf3DjkJ9_hw,7414
tramway/core/lazy_dev.py,sha256=NbiR48Smz0VXybCOXLm2y6K33Ft7BAdLjlCCusZR_Zk,16423
tramway/core/namedcolumns.py,sha256=LA7fOI5WQEOnQODExPFvEDuHyTLPfdbduyae2xJXZs0,2433
tramway/core/namedcolumns.pyc,sha256=K4vDkhUBCVOaD7vQ_vhsRnW7SMMxTIJ1HfEg1Knq4Mk,2565
tramway/core/plugin.py,sha256=8ycLOhaNe4Q2xox5Cbin9vXg5mKn7jSMY0VbDY9Wja4,9449
tramway/core/plugin.pyc,sha256=ppFDxj6-AgJalKlTOY_QlWru9QGA7wn2v0EWLN90wjo,9065
tramway/core/scaler.py,sha256=LfXdOpY2L6URYoXut5q7WbGy4d3XWZ9MfG6aY2Jz7fs,16312
tramway/core/scaler.pyc,sha256=8-9xYvkKrNAkroQL_wSFC0GYeXyhQ24JDGZQPuTPE5c,15853
tramway/core/xyt.py,sha256=mUI9fcSBTU8WSm01tDhYldU8w9UbEdR5WowW3t3fyvI,9034
tramway/core/xyt.pyc,sha256=RcxvuDZyOlNaBLWTkq2OUQ9Qoe7ryAPe3jXEF19j6UM,5839
tramway/core/__pycache__/__init__.cpython-35.pyc,sha256=jvurM5dUpe7qrwqK428Q1ssEXtwryf2grk4ahnVvS5U,363
tramway/core/__pycache__/chain.cpython-35.pyc,sha256=5WO5YCPEDOl7Pp0mnwQz_ZWtGj8ldg81Sb7l97Vin5c,5040
tramway/core/__pycache__/exceptions.cpython-35.pyc,sha256=D0yDFPXYoYEdVlxygVaK-ZpTd_6O_HA7-gNMo8PQsO0,1916
tramway/core/__pycache__/lazy.cpython-35.pyc,sha256=E8S5WEptnF1k2iGGB9TFZxsnOB0IqdInrJsYc82v5EU,6332
tramway/core/__pycache__/namedcolumns.cpython-35.pyc,sha256=H6MqG3UuA44X55FkMGNHE9GOIdvVZjfSqOKg_xOb_Pk,2248
tramway/core/__pycache__/plugin.cpython-35.pyc,sha256=yHdY6pKlM4YwqjfR66QcpZlnN3ovIEB3TiuNjF6mIQM,7728
tramway/core/__pycache__/scaler.cpython-35.pyc,sha256=K_ew6K_8Y5Q9JKtss5n9AcWAbpjvFeAz23NgGXDEOOA,14590
tramway/core/__pycache__/xyt.cpython-35.pyc,sha256=RhM2Sj1lQKMfwxarlFgrVRwAadsqNxigK6OI6jYEtW4,5509
tramway/core/analyses/__init__.py,sha256=QbeaJNrHLgxwpJft9O_2AxMqSXTtMCQQaIv1mF-QXk0,100
tramway/core/analyses/__init__.pyc,sha256=lkgVgKQ6d78GJxxi_RtgTNy_EriWY1Ai3mFlHx6ocw0,262
tramway/core/analyses/base.py,sha256=FPTdEvC62qP-tYWpo4kETXSeIRLGHHgDBv-DD55glvs,21019
tramway/core/analyses/base.pyc,sha256=-ZvMf3UINVsa0oSk7eUSXkar7zBx5iiCf3hyEJFtj08,23018
tramway/core/analyses/lazy.py,sha256=zcU2_suo2TMUu3e2MXqXilOhdwl-3WEYl7Hz8knaRMg,7175
tramway/core/analyses/lazy.pyc,sha256=XO-JH4vRD3LXdm3QRVgV2RJB6IInFNAFo73uywjxsio,8898
tramway/core/analyses/__pycache__/__init__.cpython-35.pyc,sha256=A3MrRP_lCUwIv01sVwymaV8oBNFI1bezp7gZjIJ83B4,241
tramway/core/analyses/__pycache__/base.cpython-35.pyc,sha256=MgiNELcOIKr9EvAE78N1TXal3Ii-KZWMXahQ9kaMFac,19363
tramway/core/analyses/__pycache__/lazy.cpython-35.pyc,sha256=hFLD7S9ugyGZ-pWhq9jdpFhaWmvmSWV-F3dORCBzd6E,7535
tramway/core/hdf5/__init__.py,sha256=JRuCLQm_S_-qxQcCCeHi4f4a_wUTZMQI9YTxPJJciQQ,5863
tramway/core/hdf5/compat.py,sha256=f7kFieCHGtGMCf3fGNuj3GWEmlDKVZyxQe3fH4Ie5uU,3827
tramway/core/hdf5/rules.py,sha256=-8tLa90hW3Tm9r0suo58lEfKVb6vhbDlK8yejSnHzSM,6565
tramway/core/hdf5/store.py,sha256=NYAbxKyjXbstkVjMFPuSM0t2dRD3L6RqulPPChNc6ok,6901
tramway/feature/__init__.py,sha256=daEdpEyAJIa8b2VkCqSKcw8PaExcB6Qro80XNes_sHA,2
tramway/feature/adjacency.py,sha256=en4-xGTffMp0PYT3CDEd3-CCcA9LDYF4oM9kKuogTOo,12888
tramway/feature/curl.py,sha256=ADYfUPy49D02svj_5tVVHDCJ8GoOo7NylJer5E6Vc0E,6654
tramway/feature/snr.py,sha256=-SaZfIPErXzWw5FrDZQd08zq4RezoO33Jfe6vXXqwhA,3298
tramway/helper/__init__.py,sha256=9731jU2NAYdsHIi-CJJe9CK96cwbGFpzlSHqlfWvZSU,752
tramway/helper/analysis.py,sha256=sbGGB7JDD8NaxUeuPXOXuoYYY9mSvPXhwJyMac15G80,3301
tramway/helper/base.py,sha256=057tOr5eA6zJW2jMrrbVv7eygIverdyQZjZbLX0o7fA,12366
tramway/helper/inference.py,sha256=Tn8RZclo2Vq_EtxX41_YAGdxBE9GyzL0ZhrWrJRwhSU,43108
tramway/helper/tessellation.py,sha256=gHS-Fvfi9hFf64GSaO4S3GiAnxi2KA9lGNElbfPzRfI,67012
tramway/helper/simulation/__init__.py,sha256=fzQm8KjhvIJeB8E7lsNi1lCmxhrV9fXyz92tYmPIt4s,100
tramway/helper/simulation/categoricaltrap.py,sha256=bZTf8ZUUudJgdchMwUYSJvL0kQgzcxJVskOhhRKab-A,15634
tramway/helper/simulation/functional.py,sha256=h9B9PGZ6c96N2GBwrEwsL87oI4tddpEpC--Fk6Axs1M,14427
tramway/inference/__init__.py,sha256=-bbMEiz2ICaSzIFHUEsYZii--EpubVsOTJu1i7Qdp74,2546
tramway/inference/__init__.pyc,sha256=y0QCsEWmuER8ckBOcqoNJpIkRGII3mBc28KMkJCC1EA,1839
tramway/inference/base.py,sha256=VQjSEsMzZW3bzn1ILjPrczOAtayzb_3x_Ql7WCjgoA8,71987
tramway/inference/base.pyc,sha256=bzczPnXz4xlNjY0orjj9BYODb3ZVj91-kAWXJZPbO30,76793
tramway/inference/d.py,sha256=YkIkzEn3iV_aB30bHyah2UHMQ4HtV_UdtcDLxxYPY-o,4741
tramway/inference/d_map_ci.py,sha256=VNZoqAaMhEDKwUuers1K0Sebt5zv6N_AyK0C64-qpN4,4274
tramway/inference/d_snr.py,sha256=b9YaHUs3mSzIaX5phH2HZOU4c24w1NHfn5gk3G4O9AU,5409
tramway/inference/dd_snr.py,sha256=L5FvW4i4A3iLTpioLHHf0dcokfY4JL51AF3huHhp6p0,4216
tramway/inference/ddrift.py,sha256=L5FvW4i4A3iLTpioLHHf0dcokfY4JL51AF3huHhp6p0,4216
tramway/inference/df.py,sha256=e9C2swV9DoDl8HAVI7IhgNRUI_g84VQl3YespU2EeAY,5669
tramway/inference/dv.py,sha256=xEToc77qLJq68IXdIdzJecEwoO3a7ibWYLYh_XbO-AE,12039
tramway/inference/gradient.py,sha256=z3PdCwlNmXsYv_s8sXP7hwmTkB05H-4-RAbAcmWVkyA,14821
tramway/inference/optimization.py,sha256=LAHXzNX7Hne7S3Kol2EnRkMP7HWZqp-UabU_w_mHorM,50606
tramway/inference/smooth_d.py,sha256=AeT3rKZOnaRwOy8dYmxz5mnT8xL-hCsNiFuDK6CcjnM,5408
tramway/inference/smooth_ddrift.py,sha256=kKCVUV8F2p6Bsac9z-6XnjIfTT6Xfv1M2z_2klOx03o,4692
tramway/inference/smooth_df.py,sha256=0wjX3yWNqIRic5HeGhEEtKyog4VXqj9jZqXJA7LSNQ4,4902
tramway/inference/snr.py,sha256=8bkiWdj_B9j7eCIQih_QNL0xEYrv2O8FlWExEnmRNBo,9101
tramway/inference/stochastic_dv.py,sha256=C3QS9Ps1ZxXtXdD3RyDBd1b78TFL26AoFQvOpgUd4IM,16449
tramway/inference/stochastic_dv0.py,sha256=z4ITF1zo-bK9iGT7HYYxtib5_gFpX6D1FNEJMpZ3Ngc,14410
tramway/inference/time.py,sha256=vO8GxMNFlPUIQ_a4bYy-plsDfuFqJrs7xjY0MfqqkmE,4937
tramway/inference/__pycache__/__init__.cpython-35.pyc,sha256=Bt1qeJTdR20ysvvuJjyLpbH0HuTWBzpByy_pGVtfyGk,1705
tramway/inference/__pycache__/base.cpython-35.pyc,sha256=_qQ1yRmgFSHdhRJWh7j5G7zFfBVmiWeaf1_lLA8PsLk,70493
tramway/inference/bayes_factors/__init__.py,sha256=O0jnLLspSVcRKadNQKYgoQj8BVBuweFBq5X9mDsJ0TQ,1761
tramway/inference/bayes_factors/__init__.pyc,sha256=rRGKLsydqY2GkGqtwVWtmSbKwl7uPqys-EFJcNkGIBM,1875
tramway/inference/bayes_factors/calculate_bayes_factors.py,sha256=C2C-iSNTRwr_5ucUqbFehfGzZfelfPELY8gX1ut3sWM,8106
tramway/inference/bayes_factors/calculate_bayes_factors.pyc,sha256=C9BySPpwSdD4voeD_jPRfq_uZYEHyLk3VjDLUl-MPFQ,7000
tramway/inference/bayes_factors/calculate_marginalized_integral.py,sha256=ELM6_VqndS16QY6OJe5Div_1GxAeBN4B8UolBSm92-8,9094
tramway/inference/bayes_factors/calculate_marginalized_integral.pyc,sha256=vVsXO_kYKwF4Yo6Gplvl_K_jJzSSAsJ2atAOXFNxr84,3121
tramway/inference/bayes_factors/calculate_posteriors.py,sha256=ZoAC64RPbFwuKLIGqkN_-lNUSSkK7LY-_KFiTpBBk3M,5381
tramway/inference/bayes_factors/convenience_functions.py,sha256=4J9r55PDF1B0siRnWJK_JanzFskPk76TdHve7_xgX0c,192
tramway/inference/bayes_factors/convenience_functions.pyc,sha256=CmSdOHBFQKxFqYzyX1QSnHnf6SNdePB7yHcRr_b8AGc,738
tramway/inference/bayes_factors/find_marginalized_zeta_t_roots.py,sha256=62Fz-Tzw_Kuduy3rAaVsALTppBpc0ISQkRvo_YztOuI,3762
tramway/inference/bayes_factors/get_D_posterior.py,sha256=gi-tsrQf4wOYqPO41nJH-UyU0F7QBK3ThKPUTfVRX3I,4496
tramway/inference/bayes_factors/stopwatch.py,sha256=xhjwHXfp3j_S0Qrjy2aMd8sagaWGHgVg0ScFsadWGw4,904
tramway/inference/bayes_factors/stopwatch.pyc,sha256=1OYJMMIhpoje0kh40u05vn1BYSO0I2dVgU211dRrJkY,1374
tramway/inference/bayes_factors/test_calculate_bayes_factor.py,sha256=lT58pBN5jlEmPL5-5CObcj-bHSQ02ODkqg8x4gYvg0U,16538
tramway/inference/bayes_factors/__pycache__/__init__.cpython-35.pyc,sha256=zFFPCRh0YsJHYPkDlZ1HdFPcD7cGROo6Ud0spM65Spc,1572
tramway/inference/bayes_factors/__pycache__/calculate_bayes_factors.cpython-35.pyc,sha256=m_bIdYA8no9Ce69pPf0K707yOh0Chc2ZgCIPm41ks08,6391
tramway/inference/bayes_factors/__pycache__/calculate_marginalized_integral.cpython-35.pyc,sha256=eSQFZfZS15P18OZyp4EiPnM81jzRp0XSEks7_4tNX74,2840
tramway/inference/bayes_factors/__pycache__/convenience_functions.cpython-35.pyc,sha256=Hjs4ik9hedIiNfE3pyXQjhZUbuKjAsL2BugxEcYPMvk,527
tramway/inference/bayes_factors/__pycache__/stopwatch.cpython-35.pyc,sha256=NcS5Zv50ewm8fnebzKVkqK9daOZ10fNcvzQ2kv_CLPU,1042
tramway/inference/bayes_factors/__pycache__/test_calculate_bayes_factor.cpython-35-PYTEST.pyc,sha256=ByzeosqVASYO6f7R4faNza95uAHCrCjoV2x6hhXxOT0,7164
tramway/plot/__init__.py,sha256=gESfBoMIJMRnAtyu_o8YmbJXSvvI-ePg6SJz-zkYtgQ,118
tramway/plot/contour.py,sha256=FfD-i0sZpNuRee3HXdL7-w7w-dp4din4HMqUnh7omMg,12351
tramway/plot/map.py,sha256=EJXSL6FzmLn0QsLObEIggAu2JblFtfFBrP6l0lqAm5Y,17805
tramway/plot/mesh.py,sha256=AJum6N41oNSal5fB8u2LS0j366s6_uIGMKOtz9_w5-M,17910
tramway/plot/tk/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tramway/plot/tk/contour.py,sha256=mKHuX0NBN6kfqC0tRWGfnnvm8RAv89rflBI_dRMF_yI,12585
tramway/tessellation/__init__.py,sha256=t2DP0H6ncgbM3fm3jfgVEOmW2cQa1Atiq6otBgkqu58,772
tramway/tessellation/__init__.pyc,sha256=TUcxIiARETDxV64v3VJfdD3VExepJ7oA6Mil1YySP-s,597
tramway/tessellation/base.py,sha256=UB6hkybSJ4CYtKxFOQI-U3JMn1qnSQFbxDziG3Bgt6I,59781
tramway/tessellation/base.pyc,sha256=YVY79R3L0e1466ceeJq2SzmbUcxYYsId-hsTFBP-_co,50851
tramway/tessellation/hexagon.py,sha256=uAwcDwkCM7QpkFU3g2YLMAwLV86FPsU1h0amjdmD2R0,15166
tramway/tessellation/kohonen.py,sha256=ci6dwSkcFhTd8GoAjnKdI07d1-ZNSl0xf0E1Qe0v96M,8511
tramway/tessellation/nesting.py,sha256=DR4gf6m7Queq48D0XiwEeqBLOg7mWKxEZetUSGhYnTo,12807
tramway/tessellation/nesting.pyc,sha256=Tf4Lxl2fyzp80FlE-lGfIEI4hlc7QtYq3TfBjj7tzfg,10426
tramway/tessellation/random.py,sha256=_UxouwgKNQKu4qHIxGLEHKTZGF0FNbn8oLLwXtr88ho,3815
tramway/tessellation/time.py,sha256=l1fP-Hq0ZKwTS6Wwb9AWi0sHUVn-WCTE8uGarUNj4lo,22338
tramway/tessellation/time.pyc,sha256=I7DzVKHWYYUy3mu70StsIenK2dpwTbbkyCzsqnjDOBA,17031
tramway/tessellation/window.py,sha256=fIhvbNpGUfbFeqeOS0miIAqRkxmlRo0fLiMe1vpp26M,2914
tramway/tessellation/__pycache__/__init__.cpython-35.pyc,sha256=UZYQsXrJRbSB4iGSeqS_GavZ7NWyaA44kKHcwpq5yMc,521
tramway/tessellation/__pycache__/base.cpython-35.pyc,sha256=UEqE-Yobt1V-YnhFbBtKJyfDJz3EY6yOOiD8y-vtdsw,45960
tramway/tessellation/__pycache__/nesting.cpython-35.pyc,sha256=wv8gb82ZNfdJOdVM6nQuDcys50kdJ_ZNz0qi4d2HRFk,8859
tramway/tessellation/__pycache__/time.cpython-35.pyc,sha256=Z7VChadTguZ9YLMvsWKijnCfAhA8-zXQkwkca0fPmCg,14992
tramway/tessellation/grid/__init__.py,sha256=3HUCJ3B5xnnjUJKcsw27TygrZzuJIHtxA87eeZeY1-0,9310
tramway/tessellation/grid/__init__.pyc,sha256=yJHz-qLq51RwhPr1qQ4aB6R5gvnUMro0SsOwYb_2Ack,9572
tramway/tessellation/grid/__pycache__/__init__.cpython-35.pyc,sha256=RjYc9qHTMX4HA-Oz0xCrmV-ayBbDuEhQnstMQjWirY8,9083
tramway/tessellation/gwr/__init__.py,sha256=s40rVBQ-vOsAl20Rhm77ThKS-uyG3gQRIWCmtrFFhLY,14759
tramway/tessellation/gwr/dichotomy.py,sha256=5vZSawRCb_ybRKFYLGFsxo994ZQS17qf2hd5RONrSvk,35
tramway/tessellation/gwr/gas.py,sha256=EZKtEdrVaNT5HKfB0AWIY1yHBZK6EESiMp5vAfVjFjM,33940
tramway/tessellation/gwr/graph/__init__.py,sha256=silyWLUwlp5hLnY3-Brc8DVX0b4S4Rp7j8oUcOiEZw8,832
tramway/tessellation/gwr/graph/array.py,sha256=Bn1Io_PcnOEixp_OyMsweVPvFzI3E2NicA1sdri1ppI,10722
tramway/tessellation/gwr/graph/base.py,sha256=ogT6G0oDykQ-2iol6rCgLuLbgS04JpjmRNSniHAnIU0,4064
tramway/tessellation/gwr/graph/dict.py,sha256=b7e7O3XYxnICz171El_vdshxRlbCZ2Fx9yAo6bKgxlQ,6749
tramway/tessellation/gwr/graph/exception.py,sha256=hFTjN5GQAsYRgF48LdoHWiPuYdFRChB-juYP8T5-cYc,1584
tramway/tessellation/kdtree/__init__.py,sha256=ZLGLJx8UidD6fL8ELJDjj3NeeIrZPwkDEwyJZJQRVlU,9268
tramway/tessellation/kdtree/dichotomy.py,sha256=2hn3zKyo5hZUTNGTAPvCkO2p5jb1oVpWMtvmkF76oZg,10316
tramway/tessellation/kmeans/__init__.py,sha256=FW6wcet-uXxLJyWjZvIBmudFwWYitsFdFqhUWSr0gUo,6167
tramway/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tramway/utils/contour.py,sha256=HtJxI9AA8e90tSk_j1gS-bb05mknmYIcP5Mqa-7U8a8,136
tramway/utils/inferencemap.py,sha256=O1q9g7tR6jjlZlnWatBDAmcxCUmzbWw9N5vX7lTfvr4,17811
tramway/utils/pseudotracking.py,sha256=dSKyUjrL1_1pMDqK5g2qhcTg6t8MsyE1rFIrbRUK_vA,890
tramway-0.3.4.data/scripts/tramway,sha256=WBClCdv1_W4FhdqXw2in8dnCJ5aIwPzyLUD_c3QtBfU,83
tramway-0.3.4.dist-info/DESCRIPTION.rst,sha256=rc6Q5lk-zoupuwd23dnHu1AY5dVfSBf1x6GuE1UZlzk,558
tramway-0.3.4.dist-info/METADATA,sha256=JSKg7l6hF0IQZQe23yL93lSAewDoNM5GyYyEWyrlltI,1222
tramway-0.3.4.dist-info/RECORD,,
tramway-0.3.4.dist-info/WHEEL,sha256=kdsN-5OJAZIiHN-iO4Rhl82KyS0bDWf4uBwMbkNafr8,110
tramway-0.3.4.dist-info/metadata.json,sha256=0VUPHU-aTN2U3v6TRJMIHt8A7dj7ZOvM3vn9wiadc3o,838
tramway-0.3.4.dist-info/top_level.txt,sha256=DHRhPDxKCy5do-xKE6pIb62QyHCyagi1Lj-lJd2Jtbo,8
