pylab.py,sha256=u_By3CHla-rBMg57egFXIxZ3P_J6zEkSu_dNpBcH5pw,90
matplotlib-1.5.2-py2.7-nspkg.pth,sha256=KZWZZ6fpO70DKXcRS7RHAxsrOq8kAvJxQ3WePGleR1g,323
matplotlib/_mathtext_data.py,sha256=QrUXKOu4aKdE-B-dFj_u__6B4-WVA7cd9DzRU5_6PwQ,90024
matplotlib/font_manager.py,sha256=cvJbrSuSLUpIIIMaydy5JmSbGcSxaFKF4ayz4O-eIA8,47824
matplotlib/_contour.so,sha256=uGasUpghcj9H5TrnRNfAactxweefv3fpsdguLjgm8pc,371427
matplotlib/widgets.py,sha256=CjDf-LEIa-tsvr4GeIp1YtZip9TPaohEN8c74woDlRY,73147
matplotlib/artist.py,sha256=Mgvl-ApUxrdd5-wQflSX0nvMX-4YAt36mrnX1l1iijc,46827
matplotlib/texmanager.py,sha256=ik2CXviM-Wsqlsjlz2il5gJ1UjafqiOQkdOVTy2OlAY,25543
matplotlib/colors.py,sha256=LVEyesx3cZM0IHkjueg235NHljT21Ay7weWS3kHtD7k,71560
matplotlib/finance.py,sha256=c0W6DrAT1r32r04_sTa6FozysSnI8Jm9cg3qczNUoJQ,43197
matplotlib/hatch.py,sha256=FTla4Jgf9Lsdu5cHHfDm-XaeiYciSy-i7xj2GzV6_oA,7187
matplotlib/stackplot.py,sha256=wi-_zVZNrxHW9GF3VaTCPKNFOKxyM8_GBToGsoupI5g,4266
matplotlib/textpath.py,sha256=FeSXqxELDNrXQIVjNxJQ6xLdlSHldwgCR0WGiDUOR60,16677
matplotlib/_qhull.so,sha256=fVkcwRnrAWWW67J0cVhXLx00i30fxwQRO_knTJ-Q_eY,1165159
matplotlib/type1font.py,sha256=w8JH03LbQyJCS2D3eGzE_KZNSJQWgsBs6coH1ZLQ0P0,12515
matplotlib/rcsetup.py,sha256=wPt9bpHCQE9elVwNKsJzYEogdsbGjE7buNHH68uX5jI,46880
matplotlib/tight_bbox.py,sha256=KaVRj4dzYz3sx0xV7HkGiIW5jxuJiTHPBDv9n1glBGQ,2627
matplotlib/streamplot.py,sha256=DRebFqHmFjbY0GPyL0tBAx3zc9tbF0T9gBcnUwUFvbs,20650
matplotlib/units.py,sha256=DqRzjHObEvfbh45RuBcKctsLXQvaGs0fkaCZebCHkNo,6188
matplotlib/offsetbox.py,sha256=mXRhvelTLpVezl9M9QeI6sZTGbNjGEJKJ_3AGhbg54E,55635
matplotlib/cm.py,sha256=ehI4MSCw5UdYZf4Wuhe4-ce6cgVNzOjgpgO2nGf2LyQ,11657
matplotlib/scale.py,sha256=Vh5xXXQ3gv90iXMeme2CpvMYOLb04ixOSfTsAbTsT4M,18857
matplotlib/_cm.py,sha256=1DFbNG3qWYe2BEw0rOQqxrcrBWZUEMaPJuvqSDhOFPU,93997
matplotlib/afm.py,sha256=F_ymimNSej0HuURKwH-LESgIkewXhvcqPDXo_KauwT4,16444
matplotlib/dviread.py,sha256=vvlw5mGYL_L364EKy43EKmM87hxFXVCOxMvLRv3jHWU,33435
matplotlib/backend_managers.py,sha256=rqN_diS_-Lyod_r4OujzxvrQD6SWB_PtaiXYx40tuBc,12007
matplotlib/pyplot.py,sha256=MnM6PS7bqLbkbPcHwfMKs7tw2mlhzOGEQR6ZKT-qXnI,123628
matplotlib/backend_bases.py,sha256=oRLgRGO-ceO7D-YzleOpnv-ip5tI3cqidvpJqOk-iXQ,110334
matplotlib/tight_layout.py,sha256=NlDIQpOZTdO8cFm_Vegxr5LhuHMfzcOOeVYDVp1GqlA,13073
matplotlib/cbook.py,sha256=HnLRu3FHxhaBMU3Pthe86kcXbMi56fWJpWLAXNZtt1s,81449
matplotlib/quiver.py,sha256=mlAjIDQhYNLO7zHwW6Qz4IMXK95qlSIph0uYM-uJMFo,44431
matplotlib/patches.py,sha256=AqtctCns-6olDBC8oOJNZlueeHfqWQCFHdTrCKLPtQU,147384
matplotlib/backend_tools.py,sha256=qhPxqvoTfjcmmELqiTWbq4zG_U5Xeaa0NrWj9DQEDTE,27963
matplotlib/axis.py,sha256=FYcmu8P6ODvGF-6SbKVFJw_IEaUJG4gRYM1y5_t_ihQ,83041
matplotlib/ticker.py,sha256=3KQRQlsCU2l4_pKzE7GT_bs1q0T1wr_xVLxFiXc4MAA,63240
matplotlib/_cntr.so,sha256=ha6mQfqG04UcfA5HE4ExYwOewNKsOXTWgIpd61rJBU4,101920
matplotlib/transforms.py,sha256=Tj1c7Jxd1hTRU-Qlwxx4iC-vc4Qni8FgR9HLoX4uocg,96105
matplotlib/_tri.so,sha256=Kn_aEBETBJoWklx9kwblWIkigWE4qxPA8M8T-Lpn3Ws,1119198
matplotlib/_pylab_helpers.py,sha256=tIq6pkZva5f2m4lHiSxr2Fw2O3QNr1qEsaGtUjBY5IM,4008
matplotlib/_png.so,sha256=21ouZl_FrXiyXpGI4ClCUusATNYz9QaO1knn6itAsKw,163064
matplotlib/lines.py,sha256=igRPQL2HtD6HWBy0AcUyUOLuvFLSBsoS7XrmfVusqWM,51653
matplotlib/image.py,sha256=uPHAGQsSoRnFWfLpP60ce3-ubHu_P8lENhvZwwQ7QrE,51454
matplotlib/path.py,sha256=WbmZsi_6CYwx5Bhwsw9on8ibdNQNtqq73SGDJRNEU5U,37229
matplotlib/spines.py,sha256=muDCabT0KqY8VDpHy7uxN4Lv8U8vlCDWcAP1Nq6sXNc,19263
matplotlib/mlab.py,sha256=7E6N873Tw12n7Woc9LwJ52eCg6pA4aKbVNSizjw9in8,124926
matplotlib/figure.py,sha256=RZ2cOspdCG63HaheZXUMrij-IYHeJ6gjLrwRQM4Tnc0,62371
matplotlib/_path.so,sha256=qjC1ZHnwU3jQJ2MuwxvHaY-xYUmgNd1IsgNMAKZP-OI,1425883
matplotlib/animation.py,sha256=imGkboCkQB2WTVomDdjBeoNjHyuBNEi7qTbAqk6rf2Q,50572
matplotlib/_version.py,sha256=29_GT7fcPF4RlAXL7UrA7ljfOQhyhUtTQcbmAS5V2-g,471
matplotlib/ttconv.so,sha256=IRSkJGVTbzAfwb6HL1ch79kXEGjviPJYGMma0uZGj84,404688
matplotlib/legend_handler.py,sha256=xStmBayw6etNnFLOF8EJwnr9pSP0HZOulNu5f12hOv4,22693
matplotlib/legend.py,sha256=SwV5_HcGPXk6Mkxk8gNosdJQG4pftQbaWXPolAWNAxQ,38696
matplotlib/gridspec.py,sha256=d3S1a4n7a24H2UgIewLwGNKTbf3QU4RmGayE17Dvalk,15715
matplotlib/dates.py,sha256=XzH8i36BpSLQIJrAPc_ZIL9lMUicV-uyPBi_FfHLaoM,52923
matplotlib/_image.so,sha256=Mrrd1EdxUqxrYxgCRjlXY96VsMnrho7muB5aXxiA5PI,1371760
matplotlib/pylab.py,sha256=a4gDD-Dt4l-WRywHEOmMnosZpuC6UgyaK3IGB4LMy24,11110
matplotlib/patheffects.py,sha256=ul4llPkNB9By1ifoBER1J2jeSPkGDnzF2_YKKWWfR9c,14367
matplotlib/markers.py,sha256=cBdEIuA7i9ade3V964W8BGKhoYXIo9B7S3avhAFxVJI,26608
matplotlib/__init__.py,sha256=9dwWnwusDeHCtS47JTP-Hve25PU8Bj4yzGNs6RuI1vo,63770
matplotlib/table.py,sha256=sUyODAKNd3SYlPkh3wg2v7AyC0sWt7hyVbSwrmcD-5g,20450
matplotlib/container.py,sha256=8S0KLn_uQc7PIjNiCY0X0qlz31Vt569MmtoXhPMMr8U,3587
matplotlib/_cm_listed.py,sha256=siAZVkC7-XdYU9eob5L8lq2pY_CEzHfAHIYgp_FN1Fk,49824
matplotlib/bezier.py,sha256=2WRbTSUsZ8kPf_CuP2PlumIgceDWpTzq_iG82FEYuus,15845
matplotlib/sankey.py,sha256=y52weYE4RzuXnsGrSsP4Wcc6AhX8L-Y86yoKla6743w,40828
matplotlib/fontconfig_pattern.py,sha256=LAK-iesZl6ABzwvCiphdojj8gJqzR0qy1FqFnzbj4As,6538
matplotlib/ft2font.so,sha256=9bC5XV9tWcQB8-DzOEodZpVBA0m0kYNVxi8HrUjxI5Q,452120
matplotlib/docstring.py,sha256=HbmC4VXQPQgbYDadtUPMdIJLt_vNG5QYB6q9Q2yerQo,4021
matplotlib/contour.py,sha256=2DRxXaYy8kNJXy5B5Cay1yHP02CA5kg3GDwcxYTcBMI,69667
matplotlib/_delaunay.so,sha256=IDQhLi2qWyhLMKOJtYkXVzirD1W5UdBItxLrcFEpy6E,439882
matplotlib/collections.py,sha256=T8QxROstzVibxiBvwqzzgDrxP0CMgMY6U5LJfroiks8,65248
matplotlib/blocking_input.py,sha256=x6HqfhnkQMj3NYqKXTgfrduQPMNzOxlvmThQkdA0dHk,11792
matplotlib/mathtext.py,sha256=n3FeCCbJEJrAVKySpPewdZiLKSA2CLNOOZXAFTsNTtA,116795
matplotlib/colorbar.py,sha256=PhFSg5Suq7ns_PYFGjgesD74UUe7JK5D1b_LEMUtm44,49847
matplotlib/text.py,sha256=YOcqn3sW_CLocgb4cEzB5XDQKEywWMn1dl7QeGSvpvc,82463
matplotlib/compat/subprocess.py,sha256=pGQqq09yRC4ZFT6NimxqB5ld-uuI2mpIl5sUkKvs2_o,2827
matplotlib/compat/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
matplotlib/mpl-data/matplotlibrc,sha256=wIBRwRXBJhFzEmXWJ83AH-_wBNMcPBVENTiH6T-qHa8,27246
matplotlib/mpl-data/fonts/afm/ptmbi8a.afm,sha256=-_Ui6XlKaFTHEnkoS_-1GtIr5VtGa3gFQ2ezLOYHs08,18070
matplotlib/mpl-data/fonts/afm/ptmb8a.afm,sha256=bL1fA1NC4_nW14Zrnxz4nHlXJb4dzELJPvodqKnYeMg,17983
matplotlib/mpl-data/fonts/afm/phvb8a.afm,sha256=NAx4M4HjL7vANCJbc-tk04Vkol-T0oaXeQ3T2h-XUvM,17155
matplotlib/mpl-data/fonts/afm/pzcmi8a.afm,sha256=wyuoIWEZOcoXrSl1tPzLkEahik7kGi91JJj-tkFRG4A,16250
matplotlib/mpl-data/fonts/afm/phvbo8an.afm,sha256=aeVRvV4r15BBvxuRJ0MG8ZHuH2HViuIiCYkvuapmkmM,17195
matplotlib/mpl-data/fonts/afm/ptmri8a.afm,sha256=49fQMg5fIGguZ7rgc_2styMK55Pv5bPTs7wCzqpcGpk,18068
matplotlib/mpl-data/fonts/afm/putbi8a.afm,sha256=g7AVJyiTxeMpNk_1cSfmYgM09uNUfPlZyWGv3D1vcAk,21931
matplotlib/mpl-data/fonts/afm/phvro8an.afm,sha256=Vx9rRf3YfasMY7tz-njSxz67xHKk-fNkN7yBi0X2IP0,17877
matplotlib/mpl-data/fonts/afm/pncbi8a.afm,sha256=pCWW1MYgy0EmvwaYsaYJaAI_LfrsKmDANHu7Pk0RaiU,17496
matplotlib/mpl-data/fonts/afm/pbkli8a.afm,sha256=AWislZ2hDbs0ox_qOWREugsbS8_8lpL48LPMR40qpi0,15181
matplotlib/mpl-data/fonts/afm/pagd8a.afm,sha256=jjFrigwkTpYLqa26cpzZvKQNBo-PuF4bmDVqaM4pMWw,17183
matplotlib/mpl-data/fonts/afm/phvb8an.afm,sha256=8e_myD-AQkNF7q9XNLb2m76_lX2TUr3a5wog_LIE1sk,17086
matplotlib/mpl-data/fonts/afm/putb8a.afm,sha256=qMaHTdpkrNL-m4DWhjpxJCSmgYkCv1qIzLlFfM0rl40,21532
matplotlib/mpl-data/fonts/afm/phvro8a.afm,sha256=3KqK3eejiR4hIFBUynuSX_4lMdE2V2T58xOF8lX-fwc,17919
matplotlib/mpl-data/fonts/afm/pplb8a.afm,sha256=3EzUbNnXr5Ft5eFLY00W9oWu59rHORgDXUuJaOoKN58,15662
matplotlib/mpl-data/fonts/afm/cmex10.afm,sha256=blR3ERmrVBV5XKkAnDCj4NMeYVgzH7cXtJ3u59u9GuE,12070
matplotlib/mpl-data/fonts/afm/psyr.afm,sha256=Iyt8ajE4B2Tm34oBj2pKtctIf9kPfq05suQefq8p3Ro,9644
matplotlib/mpl-data/fonts/afm/pncr8a.afm,sha256=0CIB2BLe9r-6_Wl5ObRTTf98UOrezmGQ8ZOuBX5kLks,16665
matplotlib/mpl-data/fonts/afm/pplbi8a.afm,sha256=X_9tVspvrcMer3OS8qvdwjFFqpAXYZneyCL2NHA902g,15810
matplotlib/mpl-data/fonts/afm/pcrb8a.afm,sha256=6j1TS2Uc7DWSc-8l42TGDc1u0Fg8JspeWfxFayjUwi8,15352
matplotlib/mpl-data/fonts/afm/phvbo8a.afm,sha256=8fkBRmJ-SWY2YrBg8fFyjJyrJp8daQ6JPO6LvhM8xPI,17230
matplotlib/mpl-data/fonts/afm/phvr8a.afm,sha256=Kt8KaRidts89EBIK29X2JomDUEDxvroeaJz_RNTi6r4,17839
matplotlib/mpl-data/fonts/afm/pcrr8a.afm,sha256=7nxFr0Ehz4E5KG_zSE5SZOhxRH8MyfnCbw-7x5wu7tw,15339
matplotlib/mpl-data/fonts/afm/pbkdi8a.afm,sha256=JAOno930iTyfZILMf11vWtiaTgrJcPpP6FRTRhEMMD4,15278
matplotlib/mpl-data/fonts/afm/pagk8a.afm,sha256=ZUtfHPloNqcvGMHMxaKDSlshhOcjwheUx143RwpGdIU,17241
matplotlib/mpl-data/fonts/afm/pncb8a.afm,sha256=aoXepTcDQtQa_mspflMJkEFKefzXHoyjz6ioJVI0YNc,16028
matplotlib/mpl-data/fonts/afm/pagko8a.afm,sha256=Yj1wBg6Jsqqz1KBfhRoJ3ACR-CMQol8Fj_ZM5NZ1gDk,17346
matplotlib/mpl-data/fonts/afm/pncri8a.afm,sha256=5R-pLZOnaHNG8pjV6MP3Ai-d2OTQYR_cYCb5zQhzfSU,16920
matplotlib/mpl-data/fonts/afm/phvlo8a.afm,sha256=s12C-eNnIDHJ_UVbuiprjxBjCiHIbS3Y8ORTC-qTpuI,15729
matplotlib/mpl-data/fonts/afm/pbkl8a.afm,sha256=UJqJjOJ6xQDgDBLX157mKpohIJFVmHM-N6x2-DiGv14,15000
matplotlib/mpl-data/fonts/afm/cmr10.afm,sha256=WDvgC_D3UkGJg9u-J0U6RaT02lF4oz3lQxHtg1r3lYw,10101
matplotlib/mpl-data/fonts/afm/cmtt10.afm,sha256=4ji7_mTpeWMa93o_UHBWPKCnqsBfhJJNllat1lJArP4,6501
matplotlib/mpl-data/fonts/afm/pzdr.afm,sha256=MyjLAnzKYRdQBfof1W3k_hf30MvqOkqL__G22mQ5xww,9467
matplotlib/mpl-data/fonts/afm/pplri8a.afm,sha256=8KITbarcUUMi_hdoRLLmNHtlqs0TtOSKqtPFft7X5nY,15733
matplotlib/mpl-data/fonts/afm/pplr8a.afm,sha256=ijMb497FDJ9nVdVMb21F7W3-cu9sb_9nF0oriFpSn8k,15752
matplotlib/mpl-data/fonts/afm/pbkd8a.afm,sha256=Zl5o6J_di9Y5j2EpHtjew-_sfg7-WoeVmO9PzOYSTUc,15157
matplotlib/mpl-data/fonts/afm/pcrro8a.afm,sha256=NKEz7XtdFkh9cA8MvY-S3UOZlV2Y_J3tMEWFFxj7QSg,15443
matplotlib/mpl-data/fonts/afm/pagdo8a.afm,sha256=sgNQdeYyx8J-itGw9h31y95aMBiTCRvmNSPTXwwS7xg,17255
matplotlib/mpl-data/fonts/afm/putri8a.afm,sha256=i7fVe-iLyLtQxCfAa4IxdxH-ufcHmMk7hbCGG5TxAY4,21891
matplotlib/mpl-data/fonts/afm/pcrbo8a.afm,sha256=smg3mjl9QaBDtQIt06ko5GvaxLsO9QtTvYANuE5hfG0,15422
matplotlib/mpl-data/fonts/afm/ptmr8a.afm,sha256=IEcsWcmzJyjCwkgsw4o6hIMmzlyXUglJat9s1PZNnEU,17942
matplotlib/mpl-data/fonts/afm/phvl8a.afm,sha256=IyMYM-bgl-gI6rG0EuZZ2OLzlxJfGeSh8xqsh0t-eJQ,15627
matplotlib/mpl-data/fonts/afm/cmmi10.afm,sha256=5qwEOpedEo76bDUahyuuF1q0cD84tRrX-VQ4p3MlfBo,10416
matplotlib/mpl-data/fonts/afm/putr8a.afm,sha256=XYmNC5GQgSVAZKTIYdYeNksE6znNm9GF_0SmQlriqx0,22148
matplotlib/mpl-data/fonts/afm/cmsy10.afm,sha256=AbmzvCVWBceHRfmRfeJ9E6xzOQTFLk0U1zDfpf3_MaM,8295
matplotlib/mpl-data/fonts/afm/phvr8an.afm,sha256=lL5fAHTRwODl-sB5mH7IfsD1tnnea4yRUK-_Ca2bQHM,17781
matplotlib/mpl-data/fonts/ttf/RELEASENOTES.TXT,sha256=4WMbQ-9FgJ5asfXiaHZUpNfWzvFSAoMnERPWhCyaxTA,8113
matplotlib/mpl-data/fonts/ttf/cmtt10.ttf,sha256=YhHwmuk1mZka_alwwkZp2tGnfiU9kVYk-_IS9wLwcdc,28136
matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf,sha256=mHiP1LpI37sr0CbA4gokeosGxzcoeWKLemuw1bsJc2w,181152
matplotlib/mpl-data/fonts/ttf/cmmi10.ttf,sha256=MJKWW4gR_WpnZXmWZIRRgfwd0TMLk3-RWAjEhdMWI00,32560
matplotlib/mpl-data/fonts/ttf/VeraIt.ttf,sha256=KtxoTVGPRSMsStH1ZSL1qCppBMMZQDc-G3Awvu4g-zo,63684
matplotlib/mpl-data/fonts/ttf/VeraSeBd.ttf,sha256=5_pJmKCKb3CepIGLZR6CiDnxyxXw8cUXLischiqlmzc,58736
matplotlib/mpl-data/fonts/ttf/VeraBd.ttf,sha256=zANzheTVW_3omxPgMJHuk79AwMUt3Tkf8DGrJ28TuOk,58716
matplotlib/mpl-data/fonts/ttf/cmr10.ttf,sha256=Tdl2GwWMAJ25shRfVe5mF9CTwnPdPWxbPkP_YRD6m_Y,26348
matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf,sha256=Ulb34CEzWsSFTRgPDovxmJZOwvyCAXYnbhaqvGU3u1c,59108
matplotlib/mpl-data/fonts/ttf/VeraMoBd.ttf,sha256=z9JwklYbI4bGMfQDsomr-0uY0ly_Xd-Bi8RRYVefRbM,49052
matplotlib/mpl-data/fonts/ttf/cmb10.ttf,sha256=B0SXtQxD6ldZcYFZH5iT04_BKofpUQT1ZX_CSB9hojo,25680
matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf,sha256=XRBqW3jR_8MBdFU0ObhiV7-kXwiBIMs7QVClHcT5tgs,30512
matplotlib/mpl-data/fonts/ttf/README.TXT,sha256=xPn0RAjNfP9wM22IxykxnWCNnfKsD2YmAzpxEE8p6gs,320
matplotlib/mpl-data/fonts/ttf/COPYRIGHT.TXT,sha256=M2HQVHWaL8aGosBYvoLer5wub-VJvpAE15NabBc2MV0,5954
matplotlib/mpl-data/fonts/ttf/VeraBI.ttf,sha256=_KDU7qwc7X514bInTIaaNR0tg7XtH2HSSee8xHfDPr4,63208
matplotlib/mpl-data/fonts/ttf/STIXSizFourSymBol.ttf,sha256=yNdvjUoSmsZCULmD7SVq9HabndG9P4dPhboL1JpAf0s,12228
matplotlib/mpl-data/fonts/ttf/STIXSizOneSymBol.ttf,sha256=cYexyo8rZcdqMlpa9fNF5a2IoXLUTZuIvh0JD1Qp0i4,12556
matplotlib/mpl-data/fonts/ttf/cmss10.ttf,sha256=ffkag9BbLkcexjjLC0NaNgo8eSsJ_EKn2mfpHy55EVo,20376
matplotlib/mpl-data/fonts/ttf/STIXSizOneSymReg.ttf,sha256=0lbHzpndzJmO8S42mlkhsz5NbvJLQCaH5Mcc7QZRDzc,19760
matplotlib/mpl-data/fonts/ttf/LICENSE_STIX,sha256=cxFOZdp1AxNhXR6XxCzf5iJpNcu-APm-geOHhD-s0h8,5475
matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymBol.ttf,sha256=MUCYHrA0ZqFiSE_PjIGlJZgMuv79aUgQqE7Dtu3kuo0,12116
matplotlib/mpl-data/fonts/ttf/VeraMoIt.ttf,sha256=L3I1J2iz0eeViCtXyB-u5k7bHrZeM_aqVyV6cnjEUsM,54508
matplotlib/mpl-data/fonts/ttf/cmex10.ttf,sha256=ryjwwXByOsd2pxv6WVrKCemNFa5cPVTOGa_VYZyWqQU,21092
matplotlib/mpl-data/fonts/ttf/VeraMoBI.ttf,sha256=YcNDMVvVunww7J2EBL7H-14hqLQBNBckQpKvEFPpkBA,55032
matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf,sha256=bPyzM9IrfDxiO9_UAXTxTIXD1nMcphZsHtyAFA6uhSc,175040
matplotlib/mpl-data/fonts/ttf/VeraSe.ttf,sha256=av2SeTfYT8AIMUQcvgFlstkmtbucGKyQGOXfbksMAGo,60280
matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf,sha256=pb22DnbDf2yQqizotc3wBDqFGC_g27YcCGJivH9-Le8,41272
matplotlib/mpl-data/fonts/ttf/VeraMono.ttf,sha256=2kKB3H2xej385kpiztkodcWJU0AFXsi6JKORTrl7NJ0,49224
matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymReg.ttf,sha256=XFSKCptbESM8uxHtUFSAV2cybwxhSjd8dWVByq6f3w0,15836
matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf,sha256=FnN4Ax4t3cYhbWeBnJJg6aBv_ExHjk4jy5im_USxg8I,448228
matplotlib/mpl-data/fonts/ttf/STIXSizTwoSymReg.ttf,sha256=_sdxDuEwBDtADpu9CyIXQxV7sIqA2TZVBCUiUjq5UCk,15704
matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf,sha256=6FM9xwg_o0a9oZM9YOpKg7Z9CUW86vGzVB-CtKDixqA,237360
matplotlib/mpl-data/fonts/ttf/STIXSizThreeSymBol.ttf,sha256=3eBc-VtYbhQU3BnxiypfO6eAzEu8BdDvtIJSFbkS2oY,12192
matplotlib/mpl-data/fonts/ttf/cmsy10.ttf,sha256=uyJu2TLz8QDNDlL15JEu5VO0G2nnv9uNOFTbDrZgUjI,29396
matplotlib/mpl-data/fonts/ttf/STIXSizFiveSymReg.ttf,sha256=wYuH1gYUpCuusqItRH5kf9p_s6mUD-9X3L5RvRtKSxs,13656
matplotlib/mpl-data/fonts/ttf/Vera.ttf,sha256=xMRWkLNFQ1ssulLsq-J18F5Js4mzn-aK0Dr7tVEojT0,65932
matplotlib/mpl-data/fonts/ttf/STIXSizFourSymReg.ttf,sha256=-9xVMYL4_1rcO8FiCKrCfR4PaSmKtA42ddLGqwtei1w,15972
matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf,sha256=BMr9pWiBv2YIZdq04X4c3CgL6NPLUPrl64aV1N4w9Ug,46752
matplotlib/mpl-data/fonts/pdfcorefonts/Times-Roman.afm,sha256=hhNrUnpazuDDKD1WpraPxqPWCYLrO7D7bMVOg-zI13o,60460
matplotlib/mpl-data/fonts/pdfcorefonts/Helvetica-BoldOblique.afm,sha256=Um5O6qK11DXLt8uj_0IoWkc84TKqHK3bObSKUswQqvY,69365
matplotlib/mpl-data/fonts/pdfcorefonts/Helvetica-Oblique.afm,sha256=hVYDg2b52kqtbVeCzmiv25bW1yYdpkZS-LXlGREN2Rs,74392
matplotlib/mpl-data/fonts/pdfcorefonts/readme.txt,sha256=MRv8ppSITYYAb7lt5EOw9DWWNZIblfxsFhu5TQE7cpI,828
matplotlib/mpl-data/fonts/pdfcorefonts/Helvetica-Bold.afm,sha256=i2l4gcjuYXoXf28uK7yIVwuf0rnw6J7PwPVQeHj5iPw,69269
matplotlib/mpl-data/fonts/pdfcorefonts/ZapfDingbats.afm,sha256=ZuOmt9GcKofjdOq8kqhPhtAIhOwkL2rTJTmZxAjFakA,9527
matplotlib/mpl-data/fonts/pdfcorefonts/Symbol.afm,sha256=P5UaoXr4y0qh4SiMa5uqijDT6ZDr2-jPmj1ayry593E,9740
matplotlib/mpl-data/fonts/pdfcorefonts/Times-BoldItalic.afm,sha256=pzWOdycm6RqocBWgAVY5Jq0z3Fp7LuqWgLNMx4q6OFw,59642
matplotlib/mpl-data/fonts/pdfcorefonts/Courier.afm,sha256=Mdcq2teZEBJrIqVXnsnhee7oZnTs6-P8_292kWGTrw4,15335
matplotlib/mpl-data/fonts/pdfcorefonts/Times-Bold.afm,sha256=cQTmr2LFPwKQE_sGQageMcmFicjye16mKJslsJLHQyE,64251
matplotlib/mpl-data/fonts/pdfcorefonts/Courier-Bold.afm,sha256=sIDDI-B82VZ3C0mI_mHFITCZ7PVn37AIYMv1CrHX4sE,15333
matplotlib/mpl-data/fonts/pdfcorefonts/Courier-BoldOblique.afm,sha256=zg61QobD3YU9UBfCXmvmhBNaFKno-xj8sY0b2RpgfLw,15399
matplotlib/mpl-data/fonts/pdfcorefonts/Times-Italic.afm,sha256=bK5puSMpGT_YUILwyJrXoxjfj7XJOdfv5TQ_iKsJRzw,66328
matplotlib/mpl-data/fonts/pdfcorefonts/Helvetica.afm,sha256=23cvKDD7bQAJB3kdjSahJSTZaUOppznlIO6FXGslyW8,74292
matplotlib/mpl-data/fonts/pdfcorefonts/Courier-Oblique.afm,sha256=vRQm5j1sTUN4hicT1PcVZ9P9DTTUHhEzfPXqUUzVZhE,15441
matplotlib/mpl-data/sample_data/eeg.dat,sha256=KGVjFt8ABKz7p6XZirNfcxSTOpGGNuyA8JYErRKLRBc,25600
matplotlib/mpl-data/sample_data/aapl.npy.gz,sha256=RIPgsLDsq-h6K6_VofCorPnaaCv_eFvSjh8HQYyCOJU,139905
matplotlib/mpl-data/sample_data/data_x_x2_x3.csv,sha256=A0SU3buOUGhT-NI_6LQ6p70fFSIU3iLFdgzvzrKR6SE,132
matplotlib/mpl-data/sample_data/embedding_in_wx3.xrc,sha256=cUqVw5vDHNSZoaO4J0ebZUf5SrJP36775abs7R9Bclg,2186
matplotlib/mpl-data/sample_data/necked_tensile_specimen.png,sha256=7nLvltupKmcHIYG-eYKiyjzUON-cSu0YmHnBEXhdtHk,95151
matplotlib/mpl-data/sample_data/grace_hopper.jpg,sha256=qMptc0dlcDsJcoq0f-WfRz2Trjln_CTHwCiMPHrbcTA,61306
matplotlib/mpl-data/sample_data/None_vs_nearest-pdf.png,sha256=Ob393BXA2Qfxis91wd1_hpPSgvIDsNkqSaMBU7ih9nQ,130577
matplotlib/mpl-data/sample_data/README.txt,sha256=ABz19VBKfGewdY39QInG9Qccgn1MTYV3bT5Ph7TCy2Y,128
matplotlib/mpl-data/sample_data/demodata.csv,sha256=MRybziqnyrqMCH9qG7Mr6BwcohIhftVG5dejXV2AX2M,659
matplotlib/mpl-data/sample_data/s1045.ima.gz,sha256=MrQk1k9it-ccsk0p_VOTitVmTWCAVaZ6srKvQ2n4uJ4,33229
matplotlib/mpl-data/sample_data/jacksboro_fault_dem.npz,sha256=1JP1CjPoKkQgSUxU0fyhU50Xe9wnqxkLxf5ukvYvtjc,174061
matplotlib/mpl-data/sample_data/percent_bachelors_degrees_women_usa.csv,sha256=TzoqamsV_N3d3lW7SKmj14zZVX4FOOg9jJcsC5U9pbA,5681
matplotlib/mpl-data/sample_data/grace_hopper.png,sha256=MCf0ju2kpC40srQ0xw4HEyOoKhLL4khP3jHfU9_dR7s,628280
matplotlib/mpl-data/sample_data/membrane.dat,sha256=q3lbQpIBpbtXXGNw1eFwkN_PwxdDGqk4L46IE2b0M1c,48000
matplotlib/mpl-data/sample_data/goog.npy,sha256=OJYnKWl4zgxLSz1MfLicO-3iAfHUWekK_An_WtFF6Tk,75329
matplotlib/mpl-data/sample_data/logo2.png,sha256=ITxkJUsan2oqXgJDy6DJvwJ4aHviKeWGnxPkTjXUt7A,33541
matplotlib/mpl-data/sample_data/Minduka_Present_Blue_Pack.png,sha256=XnKGiCanpDKalQ5anvo5NZSAeDP7fyflzQAaivuc0IE,13634
matplotlib/mpl-data/sample_data/msft.csv,sha256=GArKb0O3DgKZRsKdJf6lX3rMSf-PCekIiBoLNdgF7Mk,3211
matplotlib/mpl-data/sample_data/INTC.dat.gz,sha256=BS-07yEt2KEQD2TMpikC9ubx6TOOYvIH5jU0TO4na7Q,87624
matplotlib/mpl-data/sample_data/ct.raw.gz,sha256=LDvvgH-mycRQF2D29-w5MW94ZI0opvwKUoFI8euNpMk,256159
matplotlib/mpl-data/sample_data/aapl.csv,sha256=PtbPPgy7CSD4ECXRL3TBPxZM02gNz8cWtJo6gA8mMwM,299854
matplotlib/mpl-data/sample_data/AAPL.dat.gz,sha256=_W5hpjQdAT4dOPHjVLAXerunSlKJfPP01NQUxpVGWQg,66571
matplotlib/mpl-data/sample_data/ada.png,sha256=X1hjJK1_1Nc8DN-EEhey3G7Sq8jBwQDKNSl4cCAE0uY,308313
matplotlib/mpl-data/sample_data/axes_grid/bivariate_normal.npy,sha256=DpWZ9udAh6ospYqneEa27D6EkRgORFwHosacZXVu98U,1880
matplotlib/mpl-data/stylelib/seaborn-paper.mplstyle,sha256=n0mboUp2C4Usq2j6tNWcu4TZ_YT4-kKgrYO0t-rz1yw,393
matplotlib/mpl-data/stylelib/bmh.mplstyle,sha256=KP6LefavFnXUu-jA0ai5OSil3TH8-gnS1KliR9z-WiE,613
matplotlib/mpl-data/stylelib/fivethirtyeight.mplstyle,sha256=aYXRtlHd_4MLxqDmlNXV6m8CWu88WDz1KMzXbzvsMuU,823
matplotlib/mpl-data/stylelib/seaborn-deep.mplstyle,sha256=44dLcXjjRgR-6yaopgGRInaVgz3jk8VJVQTbBIcxRB0,142
matplotlib/mpl-data/stylelib/seaborn-notebook.mplstyle,sha256=PcvZQbYrDdducrNlavBPmQ1g2minio_9GkUUFRdgtoM,382
matplotlib/mpl-data/stylelib/classic.mplstyle,sha256=Qxu2VpKYGZEKLIhByLaHcmX91k17K9n0Cgc987hDH30,25074
matplotlib/mpl-data/stylelib/ggplot.mplstyle,sha256=xhjLwr8hiikEXKy8APMy0Bmvtz1g0WnG84gX7e9lArs,957
matplotlib/mpl-data/stylelib/seaborn-talk.mplstyle,sha256=7FnBaBEdWBbncTm6_ER-EQVa_bZgU7dncgez-ez8R74,403
matplotlib/mpl-data/stylelib/seaborn-muted.mplstyle,sha256=T4o3jvqKD_ImXDkp66XFOV_xrBVFUolJU34JDFk1Xkk,143
matplotlib/mpl-data/stylelib/dark_background.mplstyle,sha256=-EGmoFm_35Zk7oRp29UalT56HsOSuJbYMeQGdAATnz4,477
matplotlib/mpl-data/stylelib/seaborn-colorblind.mplstyle,sha256=eCSzFj5_2vR6n5qu1rHE46wvSVGZcdVqz85ov40ZsH8,148
matplotlib/mpl-data/stylelib/seaborn-bright.mplstyle,sha256=pDqn3-NUyVLvlfkYs8n8HzNZvmslVMChkeH-HtZuJIc,144
matplotlib/mpl-data/stylelib/seaborn-ticks.mplstyle,sha256=HKJ4MQTXR8tCh75LSZrTsp1g5LgINgdYpV1vtCAMRMA,652
matplotlib/mpl-data/stylelib/seaborn-whitegrid.mplstyle,sha256=MMTic4_Jfj6T3IYKKDS1n5c2WNOfamMpTmexINq2was,651
matplotlib/mpl-data/stylelib/grayscale.mplstyle,sha256=KCLg-pXpns9cnKDXKN2WH6mV41OH-6cbT-5zKQotSdw,526
matplotlib/mpl-data/stylelib/seaborn-dark.mplstyle,sha256=mwtKRcaFi-NqmBZb-g5byIjzj5o5JWZ_HpkrzqMBuAg,654
matplotlib/mpl-data/stylelib/seaborn-dark-palette.mplstyle,sha256=p5ABKNQHRG7bk4HXqMQrRBjDlxGAo3RCXHdQmP7g-Ng,142
matplotlib/mpl-data/stylelib/seaborn-pastel.mplstyle,sha256=8nV8qRpbUrnFZeyE6VcQ1oRuZPLil2W74M2U37DNMOE,144
matplotlib/mpl-data/stylelib/seaborn-poster.mplstyle,sha256=dUaKqTE4MRfUq2rWVXbbou7kzD7Z9PE9Ko8aXLza8JA,403
matplotlib/mpl-data/stylelib/seaborn-white.mplstyle,sha256=9UudNoWMHZl_tKx8ZAoIsGs1GouocdXuvTcDOoDYpkQ,652
matplotlib/mpl-data/stylelib/seaborn-darkgrid.mplstyle,sha256=rbEdlourXutsonPpAir84UIlqcBXfTU2fv9g2tDGOSc,657
matplotlib/mpl-data/images/forward.xpm,sha256=0acXN7AyMqVH8kyssLPVaCgbw-IpUPmfmlXyJ4SjVUY,3341
matplotlib/mpl-data/images/stock_up.xpm,sha256=clK88u69GcPLHmBhwc220HaPcA5z7lYX9EY1htPvedo,765
matplotlib/mpl-data/images/filesave.ppm,sha256=UsUulWqkQjdC_o-wMZP-O2ngmp6vMlPyB_hlJIqux4Y,1741
matplotlib/mpl-data/images/zoom_to_rect.svg,sha256=zHMvg97zkwQMIt_TvzSZzS0q7B_toKkaI4Jl66__k5E,8998
matplotlib/mpl-data/images/hand.ppm,sha256=myX5RlQVSKCp3MZVe9be2y6CWx8CtT6x7r6-Vi31knk,1741
matplotlib/mpl-data/images/subplots.ppm,sha256=4BN6ohlPIfzYJskG1ieU-jkvUjpz5rNOKyhv4bbkOjc,1741
matplotlib/mpl-data/images/forward.pdf,sha256=1xvxDG7mj_WSY3PkFlcIKkGT-qYCMSoONVH8PTjDYg0,4611
matplotlib/mpl-data/images/stock_right.ppm,sha256=LydcfuVwV7azmJLttjhVGRlq0M5M1Lg192JeuAjGUAU,826
matplotlib/mpl-data/images/stock_zoom-in.ppm,sha256=9DGSmz24klj1pbcb71fYNJW6RpDeCZE-v0EhNDGoFrY,826
matplotlib/mpl-data/images/filesave.svg,sha256=WSUzcfX9LA_leBUg_rrr-T1FGZ86xSRsWpyc2OegCrk,14826
matplotlib/mpl-data/images/zoom_to_rect.pdf,sha256=FMEiKuUMxD8bL-Ejht9edtBYWTiytGJXST3pws3rqBI,6779
matplotlib/mpl-data/images/forward.svg,sha256=WgSawpkWPFElojppJmqltvbHQfDBeYLAVENpbdy8Als,3069
matplotlib/mpl-data/images/matplotlib.gif,sha256=EVslhAo-QwWr8LmOr8DYSnKig_PViUnPGob65DX0UrI,1508
matplotlib/mpl-data/images/move.pdf,sha256=fvYdEsWN2-WOXOdeHVS-1O14cfkLTFXhP76VMz58kPk,1541
matplotlib/mpl-data/images/stock_save_as.ppm,sha256=9DPLbytsI9_gRhyy95Rdkq0XgXFfiOD52d7n_R6NJZQ,826
matplotlib/mpl-data/images/stock_save_as.xpm,sha256=56PdKiOtlkxy2q7cUnJRHJcwM2Fb9JmMXG81f5J4Nho,2413
matplotlib/mpl-data/images/stock_up.ppm,sha256=JumqG1wl9idNTxWW4ypbee14jgRtb8sDAj0lvkTEmmo,826
matplotlib/mpl-data/images/filesave.png,sha256=OxvTVQBYMWY45IKx37YqucxpM-FW97LffTyIUakcQtw,1121
matplotlib/mpl-data/images/move.png,sha256=AiQjerW5SqPXnFoi9MCp1EFxaH3E0w7NBaiPfHT_xZY,713
matplotlib/mpl-data/images/stock_zoom-out.ppm,sha256=2lSp0BOv9xQk5H3Wr52oY4ESwsRN_UUHINEYDAFMFA0,826
matplotlib/mpl-data/images/matplotlib.png,sha256=lVivGgB_kU4WMcxn3nyD55nHuR12c5deFyU6ttGu1cM,2139
matplotlib/mpl-data/images/zoom_to_rect.xpm,sha256=Mf1kmkqnhjTKE8pdqCtblygL1uSh7mThImAfghLYJIM,5218
matplotlib/mpl-data/images/stock_zoom-out.xpm,sha256=M3coRNEmhxSG_qSr_ZOnnlKhbfRjfVzoQzS0XUvGwjw,981
matplotlib/mpl-data/images/stock_right.xpm,sha256=xonT9sojK0vEUqivEjmCOvlPH5iJ6vQwFsTmrlBWDL4,753
matplotlib/mpl-data/images/back.svg,sha256=1sEGLfekTRAacF5dJ72As-9RDNxhkpV9S0JCvkBlNVU,3064
matplotlib/mpl-data/images/stock_refresh.ppm,sha256=bpXr6lBwL2xzuGoQ0J48FhZNphkw8vRwShXhl6tIIHQ,826
matplotlib/mpl-data/images/matplotlib.svg,sha256=sE9FVHjdqAwpowf8EF0xl_drXoVvpg9Wf8neQpcAVBE,3206
matplotlib/mpl-data/images/stock_left.xpm,sha256=P6D935mzzDhPsTLBkUigcEi0JJtozrpiuHAgMeMp2VU,767
matplotlib/mpl-data/images/stock_down.xpm,sha256=8jL_lIgE7qFSlh0XUzg9F3YRIJzDC7StdxJS4gqtzSA,752
matplotlib/mpl-data/images/hand.svg,sha256=tsVIES_nINrAbH4FqdsCGOx0SVE37vcofSYBhnnaOP0,4888
matplotlib/mpl-data/images/home.ppm,sha256=E5g8hCwQkJckfEfcht807zrHstftzsRga0-xxGXu-AY,1741
matplotlib/mpl-data/images/hand.png,sha256=2cchRETGKa0hYNKUxnJABwkyYXEBPqJy_VqSPlT0W2Q,979
matplotlib/mpl-data/images/home.xpm,sha256=npIJIDyQ8BnXkR28qCgNo7Nk1iG9W49_TcpdqYp9HNw,5135
matplotlib/mpl-data/images/stock_zoom-in.xpm,sha256=znBvS8gJizJAD35W6OncFcvtkAUJiN43_UfmOcr0HDg,1010
matplotlib/mpl-data/images/subplots.pdf,sha256=zIoeenahOYai5sGhsuj8nAQJgD8TJgEMhVNuMYpzpwM,6060
matplotlib/mpl-data/images/matplotlib.pdf,sha256=nA8_B0rqh2QuSLwsOcMpxUo_2De1EoVdAlkVKS17XF0,1293
matplotlib/mpl-data/images/move.ppm,sha256=D76VeQPtCX2gVYRA-wJb41zv941VUTWJo4w60b10Qd8,1741
matplotlib/mpl-data/images/zoom_to_rect.png,sha256=oDaq5TZ5U2jMHguMl4EtTYH5NDKewoAA8cLYDEFS4lE,1233
matplotlib/mpl-data/images/back.pdf,sha256=kcvEvjZ4HPIRrc62_Zo-IyxvWBV70FcU4iDHqNZlm-o,4586
matplotlib/mpl-data/images/subplots.png,sha256=LRM_1f5g0e5OzmdZg26eiivRYBdv2w2C-Wg5EuUB9ss,2713
matplotlib/mpl-data/images/stock_refresh.xpm,sha256=xDqrcqtCXeiQnq9Xd04yOgUR-jEJ237ie33ABVReMOg,620
matplotlib/mpl-data/images/forward.png,sha256=d-0EcNMvWD-kqu_RQ9XlVC5TZv0TvlrViNeE4Xqvol4,1462
matplotlib/mpl-data/images/subplots.xpm,sha256=oNo6EBtMOIeWPgAo8j02brintLFjgkl_W4KOBhH9Wss,3258
matplotlib/mpl-data/images/home.pdf,sha256=xFVM6msvcVXhJJss89brGV0dSC8OJF9AS83_T6kxt0Q,15148
matplotlib/mpl-data/images/stock_down.ppm,sha256=SueGwH2VmfuDrZsL8_Rqm5u_u-vvidvySZ4iJJZj8xs,826
matplotlib/mpl-data/images/stock_left.ppm,sha256=FhGzsV_5h-sDYZox1sLfZ3biI424kaLeNHoeG0_0A6M,826
matplotlib/mpl-data/images/move.svg,sha256=ZNYaTxS23Tjlacic7VNueGm1X5AV_skauXRjt5TYiOw,5906
matplotlib/mpl-data/images/filesave.pdf,sha256=CIobTJUOnTnvC6s6ClrHdl6FzcUBXHma9o_YB7ipSuY,10398
matplotlib/mpl-data/images/forward.ppm,sha256=A5eCMSj9KwVeF7R5VB07rbEVWPtJQH889wzbtGpxdvY,1741
matplotlib/mpl-data/images/stock_close.ppm,sha256=mSicLadxF1LqKMfZVTMBMn4c4HhKWao7xn-tYcAQenc,826
matplotlib/mpl-data/images/qt4_editor_options.pdf,sha256=2qziTxbpwnKVc85yL_uigydoYhfGAkHoskuBseXDBdA,1115
matplotlib/mpl-data/images/stock_close.xpm,sha256=zJ9SkEn6ExfRr0OipQJKGK-hRM4wArdP5mB2bQVYw50,407
matplotlib/mpl-data/images/qt4_editor_options.png,sha256=MA7upt6OBhMavDCb-uXbJr_vrTaG805xxSBp9m6nEp4,905
matplotlib/mpl-data/images/home.png,sha256=XWMhsUms1ugv8wFVuJn2Zc0-U3-GRfUEx0O_9rtvvUA,1338
matplotlib/mpl-data/images/move.xpm,sha256=0vHU64_pNef53sowyoEUCLCQecQLgr0mXPcQshKJldw,1162
matplotlib/mpl-data/images/back.xpm,sha256=wfxC8OSSDdWFxClJ19tcRGe3s8YxdEONDdSF4_iXrvQ,3434
matplotlib/mpl-data/images/hand.pdf,sha256=hspwkNY915KPD7AMWnVQs7LFPOtlcj0VUiLu76dMabQ,4172
matplotlib/mpl-data/images/back.ppm,sha256=mm3X36L2L4FqQjJOQ5zjf6HL3VvVsbp05sm-khnnAhc,1741
matplotlib/mpl-data/images/hand.xpm,sha256=HBarHb3B0YskkC4Ed-948PD_SZkOi3t6Tu226xQ-osQ,3242
matplotlib/mpl-data/images/filesave.xpm,sha256=uwVq6lTudXLO4aSsKoCQNw3nqavYycqeznvHnn_zdY4,6187
matplotlib/mpl-data/images/home.svg,sha256=56p9NEMA3Xbm5HPXkbO5iA5Aw1A-sBJvAXyVtDAFWlY,11796
matplotlib/mpl-data/images/back.png,sha256=gk8aRCBavkpN_rfpkeKr3Z0rRVYmvpB0gAbf7Z-CXN8,1465
matplotlib/mpl-data/images/qt4_editor_options.svg,sha256=h0feeOIpE9roVpIL-BIYoZAba9sAssy2bmLlK4looAU,3871
matplotlib/mpl-data/images/subplots.svg,sha256=Nf2aAuDPxW2CczzzPnsjX03R1pzl2kE-Jb_v2ybDyjo,4900
matplotlib/mpl-data/images/zoom_to_rect.ppm,sha256=c_ukLVsRIeQ6bchLqkRXfMmQNF5aDXtiZCWR7FbqGF0,1741
matplotlib/sphinxext/plot_directive.py,sha256=6mPdTXpXlc82OPRDGd0GuGNVaqziAPV5IeDTzwd0J_A,28322
matplotlib/sphinxext/mathmpl.py,sha256=6aMXa3HwDvU1JHNcsMyECoJBq3tgnpjB1viGtntms4k,3754
matplotlib/sphinxext/__init__.py,sha256=vnxqCkx7tTOfFMhgE7GuShCWxdMidhLZOL13el78R68,109
matplotlib/sphinxext/only_directives.py,sha256=OB4iQn5Q2KwhDNyaNzRXVpdeMwlhxRzfw0kECX9dpDs,2215
matplotlib/sphinxext/tests/test_tinypages.py,sha256=3YIBZlc6Z-VzRDi5VN9yU5zU3OQL0JjcZY6jPoYRqJk,2897
matplotlib/sphinxext/tests/__init__.py,sha256=gTnBimTaMh3t3WC49SvyeSH0rsbWxQgjAsr5H8HRDig,23
matplotlib/sphinxext/tests/tinypages/index.rst,sha256=kLSy7c3SoIAVsKOFkbzB4zFVzk3HW3d_rJHlHcNGBAg,446
matplotlib/sphinxext/tests/tinypages/conf.py,sha256=20aZU7FvzrUw-E8GIEN_sXFDYmPx4HN9NuhF2uYcAfY,8466
matplotlib/sphinxext/tests/tinypages/some_plots.rst,sha256=Vd7GTrCgbKljgb7UC8DxVZ3bTxC1VRRxsYiziNj9keI,1934
matplotlib/sphinxext/tests/tinypages/_static/README.txt,sha256=1nnoizmUuHn5GKx8RL6MwJPlkyGmu_KHhYIMTDSWUNM,303
matplotlib/delaunay/triangulate.py,sha256=K8CMLwTDV0IlBm9Br3c9pInjQt5-WNbrvNPJHKgOJRw,10238
matplotlib/delaunay/testfuncs.py,sha256=R6nJLNLWepcO7KbJU_R39ypjSdbrTu-VwsDJ-AFhVXc,21215
matplotlib/delaunay/__init__.py,sha256=jYHovXMRRCj5k7tapLopGJpitlCEnhGfN1Cl3VeHU0s,482
matplotlib/delaunay/interpolate.py,sha256=kIiJTsp48idZCmhWI-kYuhuhlyZWkVZPUkiN4KVNqFI,7288
matplotlib/externals/__init__.py,sha256=TP-HQvaPeXtP0GEqvY-FW7hvtGiqfSFpIqGGSqW2dJQ,29
matplotlib/externals/six.py,sha256=wPVvMuQnKjFdODwNnGhCZ7RjumlzW2N4vG_byjsEOEM,29690
matplotlib/projections/geo.py,sha256=zyh3W28Wk-kGR5XoLOYTydk7d39-IduikTXhycz3j6c,21976
matplotlib/projections/polar.py,sha256=03s01g8sIYDJd_9LHrDod9A9z4eZNWv6ibOdEcVAz34,27925
matplotlib/projections/__init__.py,sha256=rDInvbn3MUIIHH0L9Iqe13u--g9ig68b7F0SN51GKdI,3397
matplotlib/tests/test_basic.py,sha256=6-CVemH5U_B1CnauUwJiEWUX708Zqhj_GWwZobRWxLs,1290
matplotlib/tests/test_scale.py,sha256=hVpGuBhIjKu9V-DLle3vb9GFptjAknnGTMqZX-Y9260,1102
matplotlib/tests/test_backend_svg.py,sha256=Jg4pL2xiu5dg_kurlOHfpJl1aY8q33d0cX000VTvBDA,3551
matplotlib/tests/test_table.py,sha256=17SEs5xVS3ztRNcIv8Ofdkyf0tVzcwl2LIbzmB36_oE,3776
matplotlib/tests/test_container.py,sha256=Yy3B-6c7yAQBCGCRukqOiN8LAONkVR4PTMRWL9k0LB0,333
matplotlib/tests/test_delaunay.py,sha256=KzcoiQpkDhtVBMM4CChnROcvmveQtbJv6kpMHKXO-F8,7137
matplotlib/tests/test_compare_images.py,sha256=h2en-vNDA_Z6DztuzPDBDOfHfbRtO-QkBzFIyX1FBmI,3880
matplotlib/tests/test_transforms.py,sha256=IutbUjMxtE7nuRf4YfrbjEJ-fecK-pjy58LPk8WkyIA,22700
matplotlib/tests/test_colors.py,sha256=w5mLKaAHvWi21EBMxxRZ6t45JkIPYAUvwrJ9o5IDAi4,22374
matplotlib/tests/test_agg.py,sha256=4HnKkXfogsdLbDw2W3p45V4wpg9EA3s6m2IMLtuGPvM,5088
matplotlib/tests/test_style.py,sha256=ERRzuEiNibZUom1Bb2Ji_-4KS7YakNC0xT7Jx2UTzg8,4469
matplotlib/tests/test_font_manager.py,sha256=78nhqT7IenSwziN5dVSIGYkFuMmJUwIIUb_n3eSreQQ,554
matplotlib/tests/test_streamplot.py,sha256=1ZNEUZSB8r-wSqRzSuv65YVakjlcy0jD1DtYlq-2aXw,2093
matplotlib/tests/test_animation.py,sha256=DAkynpu0t_QEuUbgKytmaaDggTbAstxdD8tyUMtFk3M,2669
matplotlib/tests/test_backend_qt4.py,sha256=E9QDIs_0WLa1Kmt378ww6W8iVgEuwOXbizRjndow01k,4369
matplotlib/tests/test_dviread.py,sha256=ntsxAieKNyGbsBbwiEoVJUxajZCdE4bPzWKybGYiI2Y,1814
matplotlib/tests/test_pickle.py,sha256=IHgDhUNgsGg_KjSpMr2CZ0a-biz0gs5en0SxeP9gOQE,8450
matplotlib/tests/test_cycles.py,sha256=BqaMlVhDbHmieoNGajIoyMRykCVMtOiD0TW2nMgn_kE,7475
matplotlib/tests/test_simplification.py,sha256=S10nUWy6lmXe5TZjbcCB7K08FNaU9kq24cPNhsAcOkQ,7732
matplotlib/tests/test_backend_qt5.py,sha256=eyDx_gBb9GC_rev6xMQox-kWrzczGqUMmiYm9ISOUfw,4229
matplotlib/tests/test_png.py,sha256=6i-R9LC44MaOHwtdL3iAT-YB2qO3gnCPI9Ajggk7KvA,1285
matplotlib/tests/test_quiver.py,sha256=ryZx3dqAhLEQnqR9N1xkNlZv1jp5TuiA4UM0CvCngrQ,2866
matplotlib/tests/test_texmanager.py,sha256=cBW-v2adNlPrc8QU_2780nV37_JEEB5TSsyeudCguAo,569
matplotlib/tests/test_backend_pdf.py,sha256=YeAKZbd6o2eNwAsKK3ej7M7G-Sg4UNlGh9BpzU3bJfE,4522
matplotlib/tests/test_lines.py,sha256=hleLgv4jqF3KvwR4hfLwKaquGvM1P3YD3eeL12NpFhc,3895
matplotlib/tests/test_backend_bases.py,sha256=Aw3-7e705Y1cUQdTf12r6eLp1Hglxn6Ee4VbcPrCS7A,3269
matplotlib/tests/test_subplots.py,sha256=v8Wd8Z400gfrV7etF0Cytx5uKiNwr7BCKCsRTuQNbyM,5011
matplotlib/tests/test_arrow_patches.py,sha256=-EabK_rozz7QNnGQkMv7CbcDhvEIJCQdCH82VmfYv7s,1799
matplotlib/tests/test_cbook.py,sha256=VuMMRZs67apAGY07Dyv7V0FCAndOzTw5OUKNGRQvpzA,15978
matplotlib/tests/test_spines.py,sha256=yQchE6-La2-Tbw4BJw3LWvxjtour89JUYGn6F2AcjPM,2702
matplotlib/tests/test_dates.py,sha256=q3eJu9ZRzgBtp1eR9-T1Nw4WDcs6e-1bQl8yNo2FBMQ,13831
matplotlib/tests/test_backend_pgf.py,sha256=Yyd9ZHmJsZ5oNRR8YVGA4h9R2hr-7Y7zJLKGaM9GFas,6033
matplotlib/tests/test_ticker.py,sha256=pYyPzQzpvamMIp0HXFp1Rg8dbDLaudCyVvj-vaylfAs,7339
matplotlib/tests/test_gridspec.py,sha256=fKJYy7xnZyOXzpuUyIagW_lYLMgGy3RtbKr9L8L80w0,202
matplotlib/tests/test_patches.py,sha256=aSFerV4qSsAjrDtC9MyxMO2_sysb9Stm-Hrf76z5CaM,9432
matplotlib/tests/test_text.py,sha256=MbTgEiNe5h7InenRKEu5Yo5eSyzMVZc-kFulBlMYE0I,11808
matplotlib/tests/test_mathtext.py,sha256=loWCfMCZfYHzQI8U4g_wss_mvHg9pc5WYEXEsH6i0No,11760
matplotlib/tests/test_triangulation.py,sha256=YOH0dkPM-IhHZFYmS4zEIqk6CVrUars3oFjGOHZeQjc,42081
matplotlib/tests/test_offsetbox.py,sha256=K_zv3oV_XX197odY9Z1YsYQ9ck-efPSYsNIC6sR9rVk,2817
matplotlib/tests/test_figure.py,sha256=4OJIHWiZC1ahik6L3Lu8oytwfjZ8T0TGBj4AEPAaGrM,6164
matplotlib/tests/test_skew.py,sha256=0ayaT3vBmb157Z5mCIXCAPL4Khz1BhKM4zLIrZ6VUC0,6965
matplotlib/tests/test_contour.py,sha256=sRhAEsDj-ygao-Zo57weVZIuMuaLw4ZhqOaviMnvS1s,8038
matplotlib/tests/test_mlab.py,sha256=qeFEBhEArgW0fMsOXuPGtAYjl8D7aRZesjni31VmhqE,122222
matplotlib/tests/mpltest.ttf,sha256=Jwb2O5KRVk_2CMqnhL0igeI3iGQCY3eChyS16N589zE,2264
matplotlib/tests/test_units.py,sha256=ADUNUuH8h2bngjXvmErf5yK5h5ATWHRYFI6TdlGtxFg,1648
matplotlib/tests/test_legend.py,sha256=aVEIutWJik-IA2R0IGSKejauIudctJ3B2AGLfshnU9c,9182
matplotlib/tests/test_collections.py,sha256=XYfAFGRXE_9Of3Hc3-FfzPNbqnv1Tm5rh4yayOg1fcg,21027
matplotlib/tests/test_labeled_data_unpacking.py,sha256=pAWdLRKfnvs6RJGLn_xPmiTCcwbUyEtCKAziNIfYky4,17219
matplotlib/tests/test_tightlayout.py,sha256=hNKZ_MEVVq3MvA4AuCeHvJqxv2hiT53kaSTLYa1RT1I,6606
matplotlib/tests/test_coding_standards.py,sha256=di-k7uS2JmqwvoseGoP4qRBSiprQCTLrXXoDrQ6Jsyk,12216
matplotlib/tests/test_sankey.py,sha256=umagpPbjlv2MXyT4WLjmMdOldCgH_WERiKGarYYp7oo,417
matplotlib/tests/test_widgets.py,sha256=nlhyXZXUaUkDBHMmhIzLnMa6tEfhtrxEZ_qH8vIM1BY,7945
matplotlib/tests/test_axes.py,sha256=d-ytXX2AAGhy_CcuVq5fO9_drBYxgc9Vauj0qVMXWYY,137795
matplotlib/tests/test_ttconv.py,sha256=fAhKbj3y6xVeHZgBJt-5J1lGeBHLBk_QSOpQ10l7S7M,813
matplotlib/tests/test_patheffects.py,sha256=cS7OqqWNztcH0_KnKb8jibnCheKeRkZHOc76TXz1eWQ,5067
matplotlib/tests/test_rcparams.py,sha256=6gy9INNHCv8zypGoyRFOrhnWs17DZ-A348nSaTOdACA,15775
matplotlib/tests/test_backend_ps.py,sha256=V58z-0X2Wafi2JN8TPkaiZtstH4-oQ2fzROlhA5ld0s,4986
matplotlib/tests/test_type1font.py,sha256=6_xgbjx-KWuYann_GdHt07Z3tVftigQhN1Zo-RBCg4M,2298
matplotlib/tests/test_bbox_tight.py,sha256=T4so7ZkwDQJasKuegmVZcxG898b2y2pm7W-RH0hxHuI,3861
matplotlib/tests/test_artist.py,sha256=FeCV4KxMbV2EDxiwS2r-w3EdsV2J64weGxLDa_Mm5bE,6247
matplotlib/tests/__init__.py,sha256=LPI2hgHd0x-K5KxL0wZTu-J7Dvty37D-2E8ITH-s2no,1362
matplotlib/tests/test_colorbar.py,sha256=cqFUl2Hq9GCSya0aOMPc2lkCGtguYcLIhNIYjcGOcro,11086
matplotlib/tests/test_utf32_be_rcparams.rc,sha256=K66jcKehDKcG1yTXJCOSsmp1iteU9Kvsd_eobV5wNW4,56
matplotlib/tests/test_image.py,sha256=LxLQpbSauWQky7OrS1P5lhjX6Xl_lxmhjf-ZzshwBfw,17170
matplotlib/tests/test_rcparams.rc,sha256=zwPbYzajd7FTIYURvpwTBAn8i060Do3OVDGZ2xHZeLw,74
matplotlib/tests/test_path.py,sha256=5i73xZrGP3JRxKld5ZFCB_gmphypQ0TvIdlCN8HPDZ4,4560
matplotlib/.libs/libz-a147dcb0.so.1.2.3,sha256=i1raJiU1NjXcybLZ0HfYyuYb1oXrp7YGdLabW4ErrYw,87528
matplotlib/.libs/libpng16-3e9b18e2.so.16.21.0,sha256=LuI0dBWN5P4985xUaqDm3z7vIN-JxVXr3Ar3McjLZmU,927376
matplotlib/.libs/libfreetype-726730e0.so.6.12.3,sha256=7t5wkhTPX-ZFxw3_89dIK82KS4EFteAUj7889vByyFg,3505904
matplotlib/tri/triinterpolate.py,sha256=5u9l3tBg59h6t84AbxJP8pg9WJkbHbtv7AjNpxBBfNE,66410
matplotlib/tri/tritools.py,sha256=BCWolANIqQPCMH-mN2gCYGoKLyEEm5lcgORlI4COKms,12906
matplotlib/tri/trifinder.py,sha256=xeMcEket_hea_Xq-cj4jZnJ1u86Vs_YVbBie5aastMU,3645
matplotlib/tri/tripcolor.py,sha256=BcpDPZwRplKgaPKzxIom4tTgHLnTPEhdj2DDiqLe3nc,5868
matplotlib/tri/tricontour.py,sha256=wvxPnKw1v0k5pKIicW4t3qektE5IjHIsXvdF0WZB56w,10328
matplotlib/tri/triplot.py,sha256=_TK-WXgnqJXLT5xBE9dK8-XcWPuacxne9MkycfCWE4Y,3150
matplotlib/tri/trirefine.py,sha256=F543YsO4Z46yaRy9KtCuwo6UyfMdEJgaoyxaF1m4LAA,14593
matplotlib/tri/triangulation.py,sha256=gqEh7jfmYRkpZ6FaRwQVc4gmeAbAiVT4gXK0jBbIc-c,8357
matplotlib/tri/__init__.py,sha256=EKl_lijvOCaLRka-vDlcLVa2MnQY4o4LHBwtCsKabfY,403
matplotlib/axes/_subplots.py,sha256=h766e5EpppAkqlSaQQ1pOysMqorptFkJRJSrSwz8YbM,8357
matplotlib/axes/__init__.py,sha256=rUK7bzGH-w-EXair3GIbIQuUIhQgseV9PRptx8kfgyM,156
matplotlib/axes/_axes.py,sha256=zG6YcNZL5NfTwZr6mJ8b736nzfWxiKVaWEWiqeaGqG4,275037
matplotlib/axes/_base.py,sha256=tdCVB4Bqq-oWXj5nBeb2ULIsyvU9eyzsiX-kCktlpSg,129551
matplotlib/style/core.py,sha256=zrUibl_buinwlR2MCasa0vQIu7MS5YNNuO6L4PNbq04,6888
matplotlib/style/__init__.py,sha256=stqKqroxApy9BE4Zxv2DDf4APNt0b09SjB0pIcA-fDM,107
matplotlib/testing/decorators.py,sha256=GVMcqh9XjHCnDLoGOQC-ydy-azcbLpZUPqbq6t_BjIE,14669
matplotlib/testing/noseclasses.py,sha256=1DpezJrLJTd7Uqfx9Y778PAMSgHcn_c8s5OPoNjKy6Y,2186
matplotlib/testing/compare.py,sha256=WACg3q8QA_aEHQu6eWqk4O_vucmFLLB1Dlip3H5Hqac,13161
matplotlib/testing/__init__.py,sha256=bgUo8i1NhTQYxhd0SFvwoBlXK___WlQdhvSbU2rMGcU,3942
matplotlib/testing/exceptions.py,sha256=mCGC3wqvzqC90kFs4c8Cl3ecOQIUxf2f1TRPgAVNGwQ,391
matplotlib/testing/disable_internet.py,sha256=hDFQdx9UJUii6bkNefUAlvCr1-l62J6iQlYqLRzkcqs,4888
matplotlib/testing/jpl_units/UnitDblFormatter.py,sha256=b1-Rd6V6kRGWACeXY1TT0aPURREfaoKhtLISuBJ8FTo,1511
matplotlib/testing/jpl_units/UnitDblConverter.py,sha256=l3rzN9KQC3PQyXX3zAwmVBSyeQAXzCB5gwOaKTKhJpY,5600
matplotlib/testing/jpl_units/StrConverter.py,sha256=snSVTAvmUFLLGWk2-nRiHaaFX1ZyV21X5a5k0UJE7VE,5340
matplotlib/testing/jpl_units/Epoch.py,sha256=HccOkXZqsR4JhSTUr5Ry0v9mBjJJ4P3ggiN3LAlTx54,7277
matplotlib/testing/jpl_units/EpochConverter.py,sha256=mIFKF-IF01ma5uaaHKMZOZlw9R_o9dAAcc0gF0zmgyE,5505
matplotlib/testing/jpl_units/Duration.py,sha256=Xpj5Gu5XYf8p4NlKksLH-dISFRUE8oOCSMoWM_0Fy5k,6762
matplotlib/testing/jpl_units/UnitDbl.py,sha256=Xb8si07Qyuas1UoYmfrFfiFhgT0rEHzE66_-zdMBMyY,9360
matplotlib/testing/jpl_units/__init__.py,sha256=zO0BSlrA9yyQLX0mpWhzpU0uPU3KfRAvDUwskvXGF-g,3266
matplotlib/backends/backend_cocoaagg.py,sha256=qY6NQs38TMi4rTzKFQq1UHO3psoKIgYBfTm3L73mxjs,10027
matplotlib/backends/backend_wxagg.py,sha256=JbAJzrs2isXOvGUVWeO2YTZTzsMv1tkv5GQvUzw1DX8,5866
matplotlib/backends/backend_pgf.py,sha256=oqxcGGrS473IOqr6mL46UzaZOUJmDGPP3eEQ9veP6aY,36822
matplotlib/backends/backend_nbagg.py,sha256=-gSKzH_gv9UqrKgFW9JudEFHGtTDqMHdAK2EQWVj8rw,9749
matplotlib/backends/backend_gtk.py,sha256=lC7IB0_jK2hlpRhLxUzx6fVP0oxS4HGF57zTC4FTe9c,37329
matplotlib/backends/tkagg.py,sha256=EvPAf3A576W7N5Nc5yeBDpDDWOsm3CYaeXdFnOTPXsM,1297
matplotlib/backends/backend_mixed.py,sha256=ic0eVlbgrCVF-QeOqQW18QuZIl77INufRKzUIdK0Ymk,5602
matplotlib/backends/backend_gtkcairo.py,sha256=d_LZygfn5lKTrkhARJv1I6vsTxQ-N5oTaVMRqB9nlZo,2374
matplotlib/backends/backend_pdf.py,sha256=JDzaeVVeWdrmfewm53tnihlYfcS2Pr0aKhgmzLNr34w,95987
matplotlib/backends/backend_qt5agg.py,sha256=4wo6EWjXGCaauGeinLYch9YhOaZfEBbO1-CC5V4pIBM,7690
matplotlib/backends/backend_gtkagg.py,sha256=lvyJ3GSI5wapD43JGNiB0gIeFA5HmyG7-4oORWY6gzk,4380
matplotlib/backends/backend_gtk3agg.py,sha256=iUOctvsbJd-BWBlZfudSa4hxkndm6GJgO754R1W9c2A,3841
matplotlib/backends/windowing.py,sha256=6LhoHMvpGGBTNWeX8xeAwlCBv9ETZzQ4lMFAv4aqBDo,824
matplotlib/backends/backend_webagg.py,sha256=cWtw8j54G1fqXQdKwhR5BH-ZMeqn6JZA8iYPt_W7Ybo,12216
matplotlib/backends/qt4_compat.py,sha256=Xy8y7jGtP5wz2cQ7pwxuq7U7x5dkaveAVSb4Nbv8fAE,401
matplotlib/backends/backend_tkagg.py,sha256=cbs89M_veAqC-4j-ZnepVGzkn_NBDZDs9uvkP_O6hW0,40275
matplotlib/backends/backend_qt4agg.py,sha256=VmqTh2ua7lFBDhgTTpRDMDXAOrz2OgT8pbRtZ3aE5uw,2205
matplotlib/backends/_tkagg.so,sha256=h4asEukaBuUgk_JFQPRE7Mmzlu8IwuWVcbUFtiLwhrs,247312
matplotlib/backends/backend_gtk3cairo.py,sha256=AMJI5ngsRhCvkWRyHYiX3jQr3AtivxKldwY2J6-5I0Y,2347
matplotlib/backends/wx_compat.py,sha256=doTWv1VYjUA0bhZprnZlzqUegJs35vOhJiVeZGRV7wI,5224
matplotlib/backends/backend_agg.py,sha256=7Lm4DjE-_kxk73Od8TV7S6rg2cpso9jNCyHKeioi8Zc,21168
matplotlib/backends/backend_svg.py,sha256=fj_6XtZPpiNXat7T2MdxJu1EZSx5S_R940jiX5vqXSs,46393
matplotlib/backends/backend_template.py,sha256=nJd4awvkoeMFmChaSWk6K7-_FGnhTgsvWDDC_2YSdNw,9384
matplotlib/backends/backend_gtk3.py,sha256=pxF8lUT8pv85-_EfHaG3n2bwsndUOvsdpQPHAL2KgAk,39097
matplotlib/backends/backend_macosx.py,sha256=XyvmruBDywnWP21_tby_cM2WdmwN8qe-ZOb2mX-jGvA,16426
matplotlib/backends/qt_compat.py,sha256=QLxRzAfnGW4aCw5QbOLsR9Lh4xaUOjzwZZErknZSXBs,7088
matplotlib/backends/backend_gdk.py,sha256=rlv1SiGuHJXsOkJBhv_liW_L0fKZOp7vy7qDGXQRRPk,16691
matplotlib/backends/backend_qt5.py,sha256=S0E0Ou2TZ7vMNdUl8l4btgVgLbnwr-HHlllggKGI_T4,29950
matplotlib/backends/backend_ps.py,sha256=x8t4zC0eOovw46pl_lWckElIGr3XMLGnfBlsaSAetDI,62877
matplotlib/backends/backend_cairo.py,sha256=pbN1_drcos6QuBLNMFYhfocgX7cY8EQKC2T2YRF_lYE,17693
matplotlib/backends/__init__.py,sha256=TqW2xUOtsSqMkRhWkc6tmcG_clSe9nj-IFennES0SgU,2513
matplotlib/backends/backend_webagg_core.py,sha256=fHc8nx3rhkZu71CQzuKuZgEjRUu4C9gOTD7aW2QsCSE,18443
matplotlib/backends/backend_qt4.py,sha256=V1ki-jZg3l4EoeYwCFjz91Ta4GygNS0qzY28zuXiwyg,2867
matplotlib/backends/_backend_agg.so,sha256=4WGzqok7bpw4UBXvBZLIRoi-9IUA-Fmv-MHfa4LGFgU,3554544
matplotlib/backends/backend_wx.py,sha256=wo1wRDpE-8ySnChxJHca7J52AeWu4Po7aUdyWKZ94ns,64807
matplotlib/backends/Matplotlib.nib/classes.nib,sha256=sjyWTS-35rwFraufgr1743VOUhdz5h6oy_cK7XpOEBA,1324
matplotlib/backends/Matplotlib.nib/info.nib,sha256=3TySsYgGcr7VSAss4Av4EsHq8nb7HEnzQpYpSgpjWmk,453
matplotlib/backends/Matplotlib.nib/keyedobjects.nib,sha256=IRvw-zL331nJ6PXDKcZFw9gskf4347l0mLzRbiyzW9c,23690
matplotlib/backends/qt_editor/formlayout.py,sha256=Agp4r6xEtXse2pbmR9CmBCajH3UmAGDDDXj7MYol-Tw,20138
matplotlib/backends/qt_editor/figureoptions.py,sha256=oG2qX-RMLgXMF1SYGiH_tDTq86EnG6-Oe1cHlic7B8k,6227
matplotlib/backends/qt_editor/__init__.py,sha256=vnxqCkx7tTOfFMhgE7GuShCWxdMidhLZOL13el78R68,109
matplotlib/backends/qt_editor/formsubplottool.py,sha256=SQCDwkLWg84LCHWefvKUFt8oQreCZftn6MsZf-upWho,8963
matplotlib/backends/web_backend/nbagg_mpl.js,sha256=oX6nOc6YG_Eq6xoAJA2AoKEFYe1ddYmf3FvmG23xwCE,7335
matplotlib/backends/web_backend/nbagg_uat.ipynb,sha256=2hcR_UKnryUUuU7jyySO8FcP36ZqcDqRslS7GQMaaUc,16254
matplotlib/backends/web_backend/mpl_tornado.js,sha256=lSxC7-yqF1GYY-6SheaHanx6SujMdcG7Vx2_3qbi-9Q,272
matplotlib/backends/web_backend/single_figure.html,sha256=2Z9OMFlUOL10JGf71NY-6UGxMIqjPUz2jwHy_C7Nmdg,1197
matplotlib/backends/web_backend/mpl.js,sha256=VzQDHdEIONH3MsNtQSporwfazSRQlzqUBzvaztF6u8s,16314
matplotlib/backends/web_backend/ipython_inline_figure.html,sha256=oZAl8hfykJI1CDM1PsPJXGGpFtQMpVpVJRT8gXmzxxQ,1299
matplotlib/backends/web_backend/all_figures.html,sha256=p_nJCwIedNl1xrT_A3iTKGK3JNVsa9eckpjZNwhx3dM,1506
matplotlib/backends/web_backend/jquery/js/jquery-ui.min.js,sha256=xNjb53_rY-WmG-4L6tTl9m6PpqknWZvRt0rO1SRnJzw,240427
matplotlib/backends/web_backend/jquery/js/jquery-1.11.3.min.js,sha256=7LkWEzqTdpEfELxcZZlS6wAx5Ff13zZ83lYO2_ujj7g,95957
matplotlib/backends/web_backend/jquery/css/themes/base/jquery-ui.min.css,sha256=VQzrlVm7QjdSeQn_IecZgE9rnfM390H3VoIcDJljOSs,30163
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_diagonals-thick_20_666666_40x40.png,sha256=T9PQekCQeDFHwAxdZMQs_QzAqaqtimo0uLCotJ0xSqg,312
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-icons_222222_256x240.png,sha256=_htyYBLdV3XU9kp9QnMKIQ8pBX6OgU8zkE05EsTZq9s,6922
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_diagonals-thick_18_b81900_40x40.png,sha256=xRM8xoz-7ahUtdsImL_ZC6s8kJT2QnE04-cji0ZQfsE,418
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-icons_ffffff_256x240.png,sha256=sVicDAn7JIIW-osNHhgSqa-bSRWOtS4G94BitP_MAds,6299
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-icons_ffd27a_256x240.png,sha256=O-dEGxrQchuZxTdpQJQ4LEirQLT1OA5lBNYO9O8mJo8,4549
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_highlight-soft_75_ffe45c_1x100.png,sha256=JRY-0684rYlKOQKRQmXYJ5YiPhHS3kNPZmUVa3xi3hg,328
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_glass_100_fdf5ce_1x400.png,sha256=-VfVTyNvfByi7t0zq33BBb1mLO5iuIBvsso4Ye2ysXw,348
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_glass_100_f6f6f6_1x400.png,sha256=_ws_N6fYaeQspm2VHS5Wm-QV4CXhlUoSqGQ-lmW3xm0,262
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-icons_228ef1_256x240.png,sha256=Z8eq2yeIM45jXe3uMbiKqOqQjA2MKR20tWcBTVc6bC8,4549
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_highlight-soft_100_eeeeee_1x100.png,sha256=80rH2tcJybpprH1zkHIN1U_aVhUcZOc9mv9OEYavhRA,278
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-icons_ef8c08_256x240.png,sha256=loEi-IH5oyL8PSSjAGPT549tcpGfRzIbFEaqPFhR8ck,4549
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_glass_65_ffffff_1x400.png,sha256=JFJf1ebnJmze7uXUNtoLcgn-dTh-bJxVxXVLIuQDGrU,207
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_flat_10_000000_40x100.png,sha256=r1CSqnKXLAw-qLRMm5LbIAnqQWB3OLzAqdpZesaoc-o,205
matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_gloss-wave_35_f6a828_500x100.png,sha256=Av4RPyWlnMm1at-9VqlutTAvTKW7637sDlQamg2ozNA,5815
matplotlib/backends/web_backend/css/boilerplate.css,sha256=qui16QXRnQFNJDbcMasfH6KtN9hLjv8883U9cJmsVCE,2310
matplotlib/backends/web_backend/css/page.css,sha256=Djf6ZNMFaM6_hVaizSkDFoqk-jn81qgduwles4AroGk,1599
matplotlib/backends/web_backend/css/fbm.css,sha256=Us0osu_rK8EUAdp_GXrh89tN_hUNCN-r7N1T1NvmmwI,1473
mpl_toolkits/exceltools.py,sha256=Fdm-eX-x27EfWPLiVDy6O-ykAkf0BNRV161Nn1cbxL0,3856
mpl_toolkits/gtktools.py,sha256=Q1lKUifMKf2KsncBK08D-hSkFmT5-7b4Hgf_U-GRR64,19393
mpl_toolkits/mplot3d/art3d.py,sha256=26k03rad9l7RLsQdBrTJHGCBBS8_qmlnvlakqepCmRU,25559
mpl_toolkits/mplot3d/axes3d.py,sha256=LL6SoNWG8jwvg9NSKEThhFXoEc0kgxNWBn_hKkIKTiI,93454
mpl_toolkits/mplot3d/axis3d.py,sha256=xxYM4_9AItCh7CXxZrdlhAjL_Q1V8mV6-EgzB6mLVvw,17489
mpl_toolkits/mplot3d/proj3d.py,sha256=4SDASqBjcA-neJ5Nuffer-DMoiF1erhOjObfwp0rSv8,7053
mpl_toolkits/mplot3d/__init__.py,sha256=W9hUkNdfF7XQ2OCJazO3jO_63opjk-BHWrHfcm6BCPs,175
mpl_toolkits/axes_grid/axes_grid.py,sha256=irfcCdi2jspD4kIQC5xHOYxvcNMAkgmt6sqfgoXWpPs,980
mpl_toolkits/axes_grid/axis_artist.py,sha256=NsWsXokyYZvuHO3OjIhD7ral5vgGSLlnXBAXQ1-_mB0,198
mpl_toolkits/axes_grid/axes_rgb.py,sha256=XTlxFGPaGxY-ZpmGruO03X60dqcT9TGEvTU3NFRkGaY,425
mpl_toolkits/axes_grid/grid_finder.py,sha256=BxEhTvxe1s9ezhf6YkGGTuHg-MnqWMEz-WZysBilOHE,198
mpl_toolkits/axes_grid/axes_divider.py,sha256=dfx4hQtRqhctLQvGjPS1vOTE-P3FB74Er61rk3prqTY,395
mpl_toolkits/axes_grid/anchored_artists.py,sha256=sc7analLEbpefmWukwD1lvK9NqGVtE-slrr1anic2K0,439
mpl_toolkits/axes_grid/axislines.py,sha256=FGGRfR9NGU3-NwTVTsFw8DwtOTCwWN-o4p80b0akHR0,196
mpl_toolkits/axes_grid/parasite_axes.py,sha256=33FnZwuJ60ady0LxT2G1hL67cmgBENtKRr_F10XENoM,599
mpl_toolkits/axes_grid/axisline_style.py,sha256=uPuDztT1qDuFxOycVAPOAg9Aydeyf50_nnfxXJudNHM,201
mpl_toolkits/axes_grid/grid_helper_curvelinear.py,sha256=cjURwrxnn2P4XtsRFGuP2HJLD70uHgF_K9DSLHMGxLg,210
mpl_toolkits/axes_grid/inset_locator.py,sha256=kcZEYBe3aRvW6ZYRYYj26IYByCFpJm7ajlTAnHzFM2A,364
mpl_toolkits/axes_grid/clip_path.py,sha256=T4e-rbTmpy3LBaQLZr6uNgTqKhkKSZK985IIvWVhM2c,196
mpl_toolkits/axes_grid/axes_size.py,sha256=UuXR36sAiOpgdajMJKYpAhBkNqNBd9FcSrV0SknKI6M,196
mpl_toolkits/axes_grid/__init__.py,sha256=feALIlciz3cfU3h6vAwuaO1tf2sPRfOaKzEF9tdWCkk,368
mpl_toolkits/axes_grid/floating_axes.py,sha256=Ar9NCsE1K1aXJHwPZl9xB0BmTkTdOyECJToyeqBkboI,200
mpl_toolkits/axes_grid/angle_helper.py,sha256=QcZizvWgVxZTgeJ-tEUzkEeoaNIliihZUFlSytADuSw,199
mpl_toolkits/axes_grid/colorbar.py,sha256=DckRf6tadLeTNjx-Zk1u3agnSGZgizDjd0Dxw1-GRdw,171
mpl_toolkits/axisartist/axis_artist.py,sha256=k-41r6yoC7qy0wfVRjriJPWlJLPbpsKUr6jABTiO-xE,52735
mpl_toolkits/axisartist/grid_finder.py,sha256=bWX-DGOTRCOY7e8m6Jcqqqpk0V70TaIsbuz2fF35YMg,11995
mpl_toolkits/axisartist/axislines.py,sha256=5UjegWkncQcLyzZ2AW-bfzDha5aj6T3RwQyfwHB6rEE,26173
mpl_toolkits/axisartist/axisline_style.py,sha256=IdpZGmS697Nnu8tXXLT5NjemWA8DK9AJP8sPbP2Rb5s,5311
mpl_toolkits/axisartist/grid_helper_curvelinear.py,sha256=59qmisxs2hzyh3Wa-jRJKpcF6CoXOiC3G5C6Ax84gQw,26152
mpl_toolkits/axisartist/clip_path.py,sha256=lUcsO49DGsgqs3p3r7B6-M9hSQHHxT_sDisxfEms0-Y,4797
mpl_toolkits/axisartist/__init__.py,sha256=BqMuzyykBsfAhpdSNT3OTRI3aFdnkGHbEVEM20tUvzQ,908
mpl_toolkits/axisartist/floating_axes.py,sha256=VWFltuuayji4bHUfhcNq5ygHFGKn0syTmAx5VtFq7Eo,22843
mpl_toolkits/axisartist/angle_helper.py,sha256=lS0D2NqGd05FNlt4iozx2_DkQ-VJoe1DElBZbHj4ClY,14787
mpl_toolkits/tests/test_axes_grid1.py,sha256=dvsHE5Bct9xyhDNSviQBgf68rs1TlUD2a8LWduBd37M,2455
mpl_toolkits/tests/test_axes_grid.py,sha256=96AoxWXlWefi09RF8aRy2z_IdinLxsRDxn8990Q4KeQ,1600
mpl_toolkits/tests/test_mplot3d.py,sha256=ZecBKNAgmc-vzFATFTUNWn9Qs8QXOiiwewMAJwjgalQ,11088
mpl_toolkits/tests/__init__.py,sha256=hwgdWtAQyjtQc7EZ9uOal6K8TYTYS2YNUu36ukTgs3w,2604
mpl_toolkits/tests/baseline_images/test_axes_grid1/divider_append_axes.pdf,sha256=3g-sgiQVtyZfjC2M2f-t11wVGH0-Hvx1ETSFJ7_NTwE,25440
mpl_toolkits/tests/baseline_images/test_axes_grid1/divider_append_axes.png,sha256=kl3Ki7-AtX2T10nfzdMA7ujWVzJYUC08W0utzKjNwQU,51865
mpl_toolkits/tests/baseline_images/test_axes_grid1/divider_append_axes.svg,sha256=XoF_IVd6uZjC8OVpm-hnqSjIRVlOObrQ5yS6ObiYGXk,178395
mpl_toolkits/tests/baseline_images/test_mplot3d/surface3d.svg,sha256=e5LqbdSt4R9tQ6YWpZoWdIFxeUkCoAaxndKp0EKVcY4,475063
mpl_toolkits/tests/baseline_images/test_mplot3d/trisurf3d.pdf,sha256=OVbK3ausYMApR7_UJPx0pf3bt4A3CpZumhAVhzQMbs0,169155
mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.pdf,sha256=Mc91YJp0Xn4Eh5_MG-8IRBRXFjk8vCB9FZ5HepGF13g,12905
mpl_toolkits/tests/baseline_images/test_mplot3d/scatter3d.pdf,sha256=16H91hjGoXNRSExUF9qaE0zXagO41cOFcx0l0VStYbY,11457
mpl_toolkits/tests/baseline_images/test_mplot3d/mixedsubplot.pdf,sha256=EGP496qe6ZX95R3BMYx5n0syPUBUrrerXDoh0l6UagA,63263
mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.png,sha256=FeroKZfCzkBiR_NdNuMApq6t4yv6NhxObkFOGb16XcM,100843
mpl_toolkits/tests/baseline_images/test_mplot3d/contourf3d_fill.pdf,sha256=raTRNOdfYPFJvZiM7BbRbdWRPElQe0sn6jsKH63TTyA,3950
mpl_toolkits/tests/baseline_images/test_mplot3d/wireframe3dzerocstride.png,sha256=z5fot8RwVj7Cm8IX3FQytjj48XigqZs4ZdnHYgOhpwg,80861
mpl_toolkits/tests/baseline_images/test_mplot3d/wireframe3d.png,sha256=OSvwDKzXH1ks85h8SqgJr-p5WeuHvj6I6aCHiTq-5TY,108387
mpl_toolkits/tests/baseline_images/test_mplot3d/wireframe3dzerorstride.png,sha256=KcHdTetcUzCKpwc31VBa18jWxiGHqxjE8qImfbPdwI8,84785
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d_masked.svg,sha256=u8MAM-NGw-bF_-hiE42NL3yar2bEn1apDKeHyUvlBBE,284302
mpl_toolkits/tests/baseline_images/test_mplot3d/contourf3d.png,sha256=oWhKLbIr15d-C_ZXACT3jphR6XJ2qLHh4s6TP9e088Y,42580
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d_empty.pdf,sha256=DSFSucOBU22R3zmG8eKlWWtLy5Wb7L7wqZ1B7CMybKc,7405
mpl_toolkits/tests/baseline_images/test_mplot3d/mixedsubplot.png,sha256=jPY2OQg6GLYQxXF3F5sqTn1K0yvIIPGhCJzq5I0Dzww,39072
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d.pdf,sha256=ZceYBAVd5VTWKf9CyClnB_Ep5iPjC1ybAoDkTRebc4E,480574
mpl_toolkits/tests/baseline_images/test_mplot3d/scatter3d_color.png,sha256=Y7De9BIFLp0Ova4fk9IcXloNjiwmifTrFA1IfVJA3aE,41598
mpl_toolkits/tests/baseline_images/test_mplot3d/text3d.pdf,sha256=zIIRif5reoej2_nVyp2DfqvfN0j3uQgemdrvKQ6z0WY,14307
mpl_toolkits/tests/baseline_images/test_mplot3d/mixedsubplot.svg,sha256=nZ2yKUn_Ip81SbWp0m3f8idpy9E0SK2etoBl6xp3lVM,428762
mpl_toolkits/tests/baseline_images/test_mplot3d/scatter3d.svg,sha256=ovZmpphP9QubEpAjYSkEH1ySKF13niVOAxsg8tA9SFs,13372
mpl_toolkits/tests/baseline_images/test_mplot3d/trisurf3d.png,sha256=LSj7CdtrNCrWYqN2sKBzUz7iKBFB8o1RyYghLLp2Jcw,99118
mpl_toolkits/tests/baseline_images/test_mplot3d/contourf3d.svg,sha256=OOfiH2SEMjzoE0Ic5yr12iHQUzRl0d32k4fVuBdSydA,136708
mpl_toolkits/tests/baseline_images/test_mplot3d/contourf3d_fill.png,sha256=yautjGRaJN24It6xgEaB20RF6rs0AqbJ8mFzK5d2_R0,40413
mpl_toolkits/tests/baseline_images/test_mplot3d/axes3d_cla.png,sha256=XA2TR2p-D0FLPmevIgS9aap9gKyzCAvVdnxCBtlU_OY,51364
mpl_toolkits/tests/baseline_images/test_mplot3d/lines3d.pdf,sha256=kyJxwM0yoGBbItpm2_EgRmIfh1Ra-bjYOp79eOJRa18,11022
mpl_toolkits/tests/baseline_images/test_mplot3d/wireframe3d.svg,sha256=TzWqXUUnD-nEfIh-KD-eQZIkfpbahYgaKQsspaR32mA,70889
mpl_toolkits/tests/baseline_images/test_mplot3d/lines3d.png,sha256=HMHKGktrJ0Su4_79NYxjUD2QKpxxta_zJmsEItrTsfs,59827
mpl_toolkits/tests/baseline_images/test_mplot3d/contourf3d.pdf,sha256=99krhTSfpKT1iqVGmntjnrvMTysxmfI6mKGaLSBrJ0o,118421
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d.png,sha256=t6UZGFICaPJdd-QiPoho630S2kPzfZv6DP2BQwx6xng,104316
mpl_toolkits/tests/baseline_images/test_mplot3d/surface3d.pdf,sha256=9gZdVMcJ9CR1nwHtZcV277tDHXroJhKRykVQCj1hY54,71531
mpl_toolkits/tests/baseline_images/test_mplot3d/text3d.svg,sha256=b-_dchN4VJjk-_iUaZvo9ahCXBf1XxRMi1F4hY1a-Sg,35969
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d.svg,sha256=3YOF7jUMa8VeM4mh8KALdaA_KQLNOY-KAFxWt-fmvgQ,497973
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d_pivot_tail.png,sha256=mbGPuaq_AnD0OFR3QRnsbwb_U6pDGBsFm5IY2L2cDG8,103994
mpl_toolkits/tests/baseline_images/test_mplot3d/wireframe3d.pdf,sha256=bZ-JBft_DiZPzBJfYwainlSUDOONJij9iblej56m5E0,64257
mpl_toolkits/tests/baseline_images/test_mplot3d/contour3d.pdf,sha256=iP982J3Xc_GViJz8_lFWHUAIRK-2UYBeS_hIgb49bfw,55360
mpl_toolkits/tests/baseline_images/test_mplot3d/contourf3d_fill.svg,sha256=rcPQ-0wnwuEjR9SsUC01WnQLxd7Jjrgfe4E-i9JIW5A,13316
mpl_toolkits/tests/baseline_images/test_mplot3d/scatter3d.png,sha256=fiNNHFzqinGhELSFmBCR8x1VOuz4BxbblQC5AkFP3FA,43173
mpl_toolkits/tests/baseline_images/test_mplot3d/text3d.png,sha256=J9O3rHhgfcqLJ3HzTPClbzWMUsiGSgCXBjGIMmFvhvo,78077
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d_empty.png,sha256=ui6UYXB23LmRd3-Vh9MJ7VL6LqCQw1kCU5w1iQvx3nI,37960
mpl_toolkits/tests/baseline_images/test_mplot3d/surface3d.png,sha256=yTmOOY2VJR6JDTuclhSUbBWGql_gzPaomQdXhjTOd8s,55442
mpl_toolkits/tests/baseline_images/test_mplot3d/lines3d.svg,sha256=B8YX1xBOXG9yrjFJl0vB94tXGg-OIxEqnnaA0kPKpso,12419
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d_empty.svg,sha256=cdKXW3PQcE5Wp76VzfZE9oV0n5uzRy6HRh8NaIGNM_E,8478
mpl_toolkits/tests/baseline_images/test_mplot3d/contour3d.png,sha256=FFdZcF7cAmnkAjlfbl6DyeHbziPS8WXCfl0QmYLoNys,77703
mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.svg,sha256=AG9AY0bd1FIbFNZPfMAIDi0M-_IwgdyGo98xyNhgs2c,24860
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d_masked.pdf,sha256=kA6kUqfibj_xQ1ETre05cBJY7itK-6qPQHzYgUQRBg4,274298
mpl_toolkits/tests/baseline_images/test_mplot3d/contour3d.svg,sha256=wuQm33KXq9vEjpPP_ZteY3RNqy1zOA1PQ_X5CcB4a3Q,62867
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d_pivot_middle.png,sha256=lVc-Ueo9fNvvT2EC8NKmFRMaakB43idAah3UgYH7t84,104338
mpl_toolkits/tests/baseline_images/test_mplot3d/quiver3d_masked.png,sha256=xaaAYIRDq-EaOSQ6Bq5jtqUm0rjYY0HNjc9BlpepQ7M,83672
mpl_toolkits/tests/baseline_images/test_mplot3d/axes3d_labelpad.png,sha256=TjEId25bg3B8BAIJlwRB0amQHH3kED_mwcAlpZGjeUs,66859
mpl_toolkits/tests/baseline_images/test_mplot3d/trisurf3d.svg,sha256=cOblK9TJh7assmfiYat-fnM2_z96_X_xEi1Jpp6oU00,148335
mpl_toolkits/tests/baseline_images/test_axes_grid/imagegrid_cbar_mode.png,sha256=sBs-bkWVDCgfr9BsmHDTBvzDtuUlt1cNUGHr4_7GjjM,446676
mpl_toolkits/axes_grid1/axes_grid.py,sha256=nDeOm5YdLD9fzuUG_V7Rn_tFkMNG5n0yim2Mn6rAEZQ,29434
mpl_toolkits/axes_grid1/axes_rgb.py,sha256=f08Y5_-8iGaB3akht4ixeK9tiIcjyreJOKefaV_mziY,7031
mpl_toolkits/axes_grid1/axes_divider.py,sha256=3xs2XciB-XXum7Jb8JiQ3ptgP3lQ9QwcmKfc-XIgSIo,31278
mpl_toolkits/axes_grid1/anchored_artists.py,sha256=vPbV4s-hWfTRqmQ0HD0F_VwAERZQtosHIZvSGAQKPBM,8123
mpl_toolkits/axes_grid1/mpl_axes.py,sha256=I3Bceg2-awGTSol2bupNzXoCkdJwIp5gnswfTr348PI,5071
mpl_toolkits/axes_grid1/parasite_axes.py,sha256=zBS4fEi1esKWB72cICEzxi8B9daKdpgZbuYTRMtKz8o,15659
mpl_toolkits/axes_grid1/inset_locator.py,sha256=JvVAM8o7ikxI3dkRw0-guYiWtU3AyJshGYjincZuZ_I,18700
mpl_toolkits/axes_grid1/axes_size.py,sha256=uK20MLTQG-oK7vSPYoE1fYGP-6uSQNjcJGPejk93Ebk,9050
mpl_toolkits/axes_grid1/__init__.py,sha256=xeawar_avniYDRX_9Qp-3xonUazGuyENqUfWgr__vM8,420
mpl_toolkits/axes_grid1/colorbar.py,sha256=VzHox9egf-QWfl21MEBGECGnxD8_MvCXzasfLdFSDOs,27919
matplotlib-1.5.2.dist-info/top_level.txt,sha256=9tEw2ni8DdgX8CceoYHqSH1s50vrJ9SDfgtLIG8e3Y4,30
matplotlib-1.5.2.dist-info/namespace_packages.txt,sha256=LQMWCv385LtvVcrCFmS8Kk1axcWAaUG9ycvuMhV6yoA,26
matplotlib-1.5.2.dist-info/DESCRIPTION.rst,sha256=dYhVGDtQtU17enE2mVe67NnlVe1_QNTTQOorI9naTcs,289
matplotlib-1.5.2.dist-info/RECORD,,
matplotlib-1.5.2.dist-info/metadata.json,sha256=C2XMQNrG2e_TF-6LO3421u6DiXUhnSZDihX3QTd6ekA,988
matplotlib-1.5.2.dist-info/WHEEL,sha256=1L0bpIaMHrZBOVcLW-JGdHKD3SwAkBlqOHJrqP9ObpI,109
matplotlib-1.5.2.dist-info/METADATA,sha256=imbOJlMkqeeEXN6OZUwyOGODcj0ugFaMb7-v5SG7B6U,1121
