fairpyx/VERSION,sha256=CF0i9Sb9bERKrTP4gHOMqTlRMDzv_isRLPe55zJ8-Iw,5
fairpyx/__init__.py,sha256=jpoOMUUt-2Yqe_LlJwcbMlNepQoauruMfrU-wKN7Dxo,1089
fairpyx/adaptors.py,sha256=4kqmLtGvVVhII56pJoYANqiMlSbnctZVsH0enx6pPHE,7961
fairpyx/allocations.py,sha256=BG4FKcHhc52S3Pz9HfzkXqFOF-c68H_JZWg0nBAhJIw,20742
fairpyx/explanations.py,sha256=hSQaKljb38OdkfkTlj2FIceelPqUTSWb3r3mvooJUB8,10365
fairpyx/instances.py,sha256=iP7oV0M38y5k61J4v7JqtKojsWnXlE87lxZwBIu9hlw,30690
fairpyx/satisfaction.py,sha256=n11NEf7E7S0a4Dh-0tUdjrzNIOEJemQjCMIn4nyOals,7046
fairpyx/algorithms/__init__.py,sha256=TlZHzbeVuKoGiQHWUjxIl48bVA1rSI3Qp0eZSIMmJJk,2231
fairpyx/algorithms/algorithm_examples.py,sha256=RR8Kow2dS0SPcaY_UrcixYxD-U7GBEk1gOqCa6rCkVE,5323
fairpyx/algorithms/asadpour_feige_saberi.py,sha256=Otjuia0hEUGCScq0qGutrxdBfk4MgGLZ-038dyQRL_Y,37437
fairpyx/algorithms/biswas_barman.py,sha256=iRm4StoNkiSsd1rERYNdpFUO7GQByGUcouHHDoKxKss,61741
fairpyx/algorithms/brams_kilgour_klamler_maximally_proportional.py,sha256=8NHXgKJR8c0u9ffN6Iq1qIVa17HDhajYdv6k4kfJC10,14335
fairpyx/algorithms/bredereck_figiel_kaczmarcyk_knop_niedermeier.py,sha256=aG3Xdo_-aZ7OZKJe-jnG998689KCb05FRP-8zGeaPyE,20188
fairpyx/algorithms/bredereck_figiel_kaczmarcyk_knop_niedermeier_improved.py,sha256=j5Bj-uMbd2ND2qHqAOxt8fRzn1cjwVSwyITe2_2hfYE,20318
fairpyx/algorithms/chan_chen_li_wu_maximin_aware.py,sha256=5IZ3OqUTnV5w52Vwb_5GYGEgEavd5QJN6H8pxQt1d1o,31451
fairpyx/algorithms/dror_feldman_segalhalevi.py,sha256=VYA7eZZCsq0t5Q9s6784a_5tymNBiMMxFvbB5397kl8,100077
fairpyx/algorithms/egalitarian_fractional.py,sha256=8R38phevjle3nIWLUaV32ckLSNShhisih4U3ZR7WasQ,9168
fairpyx/algorithms/egalitarian_rounded.py,sha256=54BfNtmPg2nuypbiXvub2lD79XT0kiF9YkgWSxMsIww,18317
fairpyx/algorithms/huang_segalhalevi.py,sha256=i9ysFqLmt5l1MqVnrJ9Vmj-G3ixeS8lVMftomiueaB8,6293
fairpyx/algorithms/igarashi_lackner_nardi_novaro_repeated.py,sha256=7T1v9bQqslVdvFHDyWQoMD8PxXcTE5Hx9NwbmtvHCgY,20259
fairpyx/algorithms/iterated_maximum_matching.py,sha256=ydRlVvhlfZa3Ind5A8Ovxxb1cbBxRZql8gjy-HubvwU,13030
fairpyx/algorithms/kurokawa_procaccia_shah_leximin.py,sha256=PklS84j1OYkzQP2nBJNv3LpJAAoJmEWVc_jm9bSGlkg,21297
fairpyx/algorithms/picking_sequence.py,sha256=8KbEF3uct6Mu0ouHygpDVjftgsB-m7jjoOpnB4MXHXU,9062
fairpyx/algorithms/polacek_svensson.py,sha256=VVFlePiJobzK0VSlOI0AAMs0XXULz35pXdsoTAj2iME,35663
fairpyx/algorithms/shoshan_hazon_segalhalevi.py,sha256=XY3Jw_OnE44g0raCHRHN1LqGORV6UtbsiZenWSnJ9Nw,43112
fairpyx/algorithms/sonmez_unver.py,sha256=KU2JkJeW8-P968kRhn4a0UgLLT2KiULuJE5LIDMFSnE,14282
fairpyx/algorithms/utilitarian_matching.py,sha256=356knikvC8We6XY6TQHawzaULYvn6qSctp39Bslfbds,2936
fairpyx/algorithms/Optimization_Matching/FaSt.py,sha256=V0sr9rUHH-7e-XM0vTkPgR6b0QqZfn4mhDro8RJWgoA,15703
fairpyx/algorithms/Optimization_Matching/FaStGen.py,sha256=HNfpdXKqez6Tmy_zj9sXyMXM-l7mGTYaWZ83teX8Xmw,31934
fairpyx/algorithms/Optimization_Matching/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairpyx/algorithms/Optimization_based_Mechanisms/OC.py,sha256=fKBLGNbFMVt0AnB45Pf5tz4KbDFZaUq5tgk5NGxORVY,47139
fairpyx/algorithms/Optimization_based_Mechanisms/SP.py,sha256=RZkoux4-tjrivpuyMSEHbIN7RBfYzVY5I7PrpIRH8NA,13480
fairpyx/algorithms/Optimization_based_Mechanisms/SP_O.py,sha256=BU8Nb2AU-8iZuxjMcn_PiQHc3dxHExIZTUZI_gvt2Do,13273
fairpyx/algorithms/Optimization_based_Mechanisms/TTC.py,sha256=QgQh1fkQKKFQpXoHeUbQH5Y8yFPf3p9xe3C-L9KdJug,9729
fairpyx/algorithms/Optimization_based_Mechanisms/TTC_O.py,sha256=WcjR-GaUFAVnxheHIAVlQ6vI324ziDXcKzUjpyR8gXo,8692
fairpyx/algorithms/Optimization_based_Mechanisms/__init__.py,sha256=yYSrVyhrHjGzQiPZkEKeqAzvAirpX6uNT6sxQTBnryk,555
fairpyx/algorithms/Optimization_based_Mechanisms/optimal_functions.py,sha256=lcCn5k8Vkma0t81l8iNTMuMWSrN1rpt38ojgREPN4J8,4593
fairpyx/algorithms/course_match/A_CEEI.py,sha256=Bb8F5mYjbD8OIrMSmX03BB_T0Sa7nwx39JgkKdOH2Yo,23057
fairpyx/algorithms/course_match/__init__.py,sha256=frcCV1k9oG9oKj3dpUqdJg1PxRT2RSN_XKdLCPjaYaY,2
fairpyx/algorithms/course_match/main_course_match.py,sha256=RFzVAZUl-i_5liI3xHeMcaxFG2ddEitC7hZB6G88Dt8,4774
fairpyx/algorithms/course_match/reduce_undersubscription.py,sha256=DtBjoqPySJ78cLlfSXBCPLvetRBcJgL8gW1iep7LeiM,17709
fairpyx/algorithms/course_match/remove_oversubscription.py,sha256=zoeLuXm1AdsQb8tVwrgPm3w8IVVeT2VRxeqjjgIkO0M,8918
fairpyx/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairpyx/utils/graph_utils.py,sha256=dte8QQTvIzaBQbzOKWe_wG_HWcuJ2RHV4kYp1TK2C38,7774
fairpyx/utils/linear_programming_utils.py,sha256=ZgeDYSDYH4Yd12s32SV0tJzYm0pfkNSD00JNl1eo_vw,2191
fairpyx/utils/solve.py,sha256=sudlz_d6fxDfMeW_2yA4pcpcYmKNpvq3WqlcQxkqa5g,3104
fairpyx/utils/test_heterogeneous_matroid_constraints_algorithms_utils.py,sha256=7wmPSqyDRCLyJY1VekxWvG4Ips5s413nDGm8LsyQZL4,14312
fairpyx/utils/test_utils.py,sha256=htejh6lX6L9SFC2gWKRoZTuBJCjVPmol7b8Sy_AwdmM,733
fairpyx/zalternatives/yekta_day_impl/README.md,sha256=gEnyvxJJT0XtUmZFfsdAo4HuBkt4T2qkclqSw5QEwIA,347
fairpyx-0.1.dist-info/licenses/LICENSE,sha256=GMb8ud5xFidMhGcHhENXUGTe3xRA_Qtsp3Hoi05MTuc,1092
fairpyx-0.1.dist-info/METADATA,sha256=xgIlu4fgRdQ5_igmce77cM3AfGKkIu4rznc_37gG_MM,5532
fairpyx-0.1.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
fairpyx-0.1.dist-info/top_level.txt,sha256=lAYMnqEl_R70uyjslmLPoyqWRFFK9_f81MuP1gp_jkg,8
fairpyx-0.1.dist-info/RECORD,,
