data/crowd/ratings.jsonl,sha256=IdUBJMUL5rXWo9LRthH3ruzjiy68_coeKMVrwZmVjOE,3211092
data/crowd/ratings.jsonl.gz,sha256=N8E9rSFLBc_75cTY6pmrhuwLXTFhwSEFb3yOTay9o_E,726948
data/crowd/responses.jsonl,sha256=XvWKz9qQOuvd3Wrp1noRZXD4hfgifu_GicsE3PphuNM,56928064
data/crowd/responses.jsonl.gz,sha256=h4nNVJBvDCVu3A-0NOOVeJSEArQQGhPsO_AMt3xr9Eg,8050147
data/crowd/study1_retrieval.jsonl.gz,sha256=LXxRN7RRPhVDU3vnr5vruFXlNBHb20Xr-I4rgARSJ0Y,2386113
data/figures/.gitkeep,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
data/figures/figure-axioms-mutual-consistency-pre.pdf,sha256=kJNS1G9-EXjzx9sUIjiBDRGezJHZzyV2SilW4pvm-hg,37038
data/figures/figure-axioms-mutual-consistency.pdf,sha256=7uSW_yvfez2nOFepdsCkA9N0CGsAKqAMzVeLmlo4Dh8,37038
data/figures/figure-vote-axiom-decisiveness-consistency.pdf,sha256=rvGE-5hAKEP5VjKpdUyqKYMhu97BZyJxV35ONUID4z0,13872
data/figures/figure-vote-axiom-judgment-consistency.pdf,sha256=xu6bd0jfFt6ox0Q-qp_sO5UkoHf66f5_LB8JgN-eYT8,13198
docs/axiom-development.md,sha256=FzVQUW8WkFqLBTJBsXTWj3uB19Jzqxv9ImMI9u5UvT4,2828
docs/axioms.md,sha256=piIZaTgEVIFaHmgqP4qh-_yKOa-ifq5reseX5EmnVR4,68
docs/migration-v1.md,sha256=sfYiizo6Nu68tLyJ9cikRxK8XRXDvQMNQDm6x-hhUKY,2484
docs/rag-axioms.md,sha256=4YBOBvIaZJsQVIUTXO4YOScg3JyYvVa4Dztqfs2bUxg,5915
docs/term_frequency.py.diff,sha256=3AH7g8b-oOzL0wX99OTO6TOP2olnJqOYGZZAeIkelIM,17737
experiments/.gitignore,sha256=Oj8XV9ndiseIHHIIb5SsTCwQP8s_FM5OI5MlSZPfEQQ,15
experiments/grenoble2025_showcase.ipynb,sha256=y6ufEECDCXKiT-rih803bP4I_6_BuYFx6jf-zdrY3XI,226973
experiments/ictir2025.ipynb,sha256=xTYDbAJM1sUECj-SLAVQ4_2ZILnTdpSsMCz8faDkkR8,72086
experiments/llm_ratings.py,sha256=H3mrk_Bvh0TV5ag1lG8wKoKuT-DBbJ_pVN-L-hptpEc,7088
experiments/llm_responses.py,sha256=_S7uEG08Z6bPULjoeCZDAEuI76PbBHKkNr_mYs3O8AA,8450
experiments/pyterrier_kwiksort.ipynb,sha256=D_dMWRJ8ia22iNiSjndNuJeJfRjCC2H_fLr7iONigls,9520
experiments/pyterrier_kwiksort_learned.ipynb,sha256=Xs59AMsoijPpVLzYmC5tfQDkFazCi0GtxRD7sdmjIqA,11691
experiments/pyterrier_ltr_features.ipynb,sha256=9kj9i1NhPs2pspp5i5kQAKcUGGje2OtiKN31Em_8sgA,14598
experiments/pyterrier_post_hoc_analysis_of_runs_and_qrels.ipynb,sha256=PyMAuQsEPZwA_MZ_gDqsDgSYwmsiuN9WRc6ltcssJTw,12174
experiments/pyterrier_preferences.ipynb,sha256=MVJ5oVifsHqq046SCBEFPDAuacY2sCtYBf-iLE9f4V8,5183
experiments/pyterrier_preferences_parallel.ipynb,sha256=S67HojBoeCDH_nselTQxUarTMYhQY69J7wmR8NSBFMo,13078
experiments/pyterrier_reranking_comparison.ipynb,sha256=B-hEvfoYymb2wa6EMr1NG5KrVvAOJDXsbuR1rBhAjbk,17352
experiments/ray-env.yml,sha256=A5Vz1DLQadVflS42NGzQTLOZhkcT0K3kVQkzfl9rOMo,317
experiments/sigir2022_showcase.ipynb,sha256=uHXQC1S36cjHmOs-POLexMZXhjrdqkPSfx59W6Anwpc,37397
experiments/sigir2022/evaluations-paper.ipynb,sha256=JLEzMuWBK6Dum7y1hO2SDAywOeT04XYi0huq68rUNtQ,61486
experiments/sigir2022/grid-search-axiomatic-re-ranking-approaches.ipynb,sha256=_WJAND1h-53O0XBPEiT-vXXKA8Jj7iUOKwjSm7B-Gmo,21218
experiments/sigir2022/table-axiom-distribution-on-trec-dl.ipynb,sha256=aVdlZihfgKkHwsRd26D3-R8fh7jtI_1lBCah-tmZy_k,36240
experiments/sigir2022/trec-dl-ms-marco-passage.ipynb,sha256=Ze8Rv5reQggKGwRj1llxzMmoENAwB5CJ7CmXT6L5q1U,271644
ir_axioms/__init__.py,sha256=FgD-BBDt6uOHd9CqpIa_Pjap3tKFKgHF4wKgRKlgK_Y,75
ir_axioms/__main__.py,sha256=t2cV67STG5s_8wXAXXGdHKYgCohlpK7I2xJoX70MThc,68
ir_axioms/cli.py,sha256=jUcGWswz0rrHQemnq8vH86n3oII1npsmsJXz4tZ0nH0,472
ir_axioms/dependency_injection.py,sha256=no4ltds1AfHaBRp3SEF_TGxvggrZLAc7nL40530qkHU,240
ir_axioms/logging.py,sha256=D8U6qG6s9ljINGHeuuvNd96CdCRuDpnfgoPBh_SBDrY,107
ir_axioms/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
ir_axioms/algorithms/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
ir_axioms/algorithms/ranking.py,sha256=P5h3_StBtrc5otJWiUT9PCcHdVluTrhbiQvpQxhsgRE,1604
ir_axioms/axiom/__init__.py,sha256=NfW6QgESeuA1-YYC1IkBwIxZp13uyzwKvlYrAik4NG4,3498
ir_axioms/axiom/arithmetic.py,sha256=RT8-zKMmMNu7L_S1tlYO1-vsqtboHeM1ekVN7q5Jv3g,8669
ir_axioms/axiom/base.py,sha256=DGBiT2HRV7xNP4aHBPknKpXG2Luq2GMT8nbqletxZ5A,7866
ir_axioms/axiom/cache.py,sha256=1eFgjZP3x2YUqc_yzTk8ftRanwU0iLPubYv-U6Xy3EI,3829
ir_axioms/axiom/estimator.py,sha256=qm-RKKJtexb3kLHZ0RXoMj0jX4XSGZsk50D2-DLwIKw,5230
ir_axioms/axiom/parallel.py,sha256=DiWHDiax10EPte_rvTO667M-11qnBOg6qA_20MnyYQk,1342
ir_axioms/axiom/precondition.py,sha256=V1CNDDly1rlVULc8PMNyolaK0zoHOjlIksqZyAhNkAI,1620
ir_axioms/axiom/simple.py,sha256=_Vc9C8qsVBU_mwtedDViZFiCO-ehlb60xULTzA16dpc,2572
ir_axioms/axiom/utils.py,sha256=Pg-Pd6PRR3h0qpIrG6YsR4CGMa0m3pS_ookS0W9xi5s,1471
ir_axioms/axiom/generation/__init__.py,sha256=nIsLrcYikW_-O5Ha6KIltZ7SH-W4UaY-aeBOLOz9uIE,2205
ir_axioms/axiom/generation/clarity.py,sha256=kA_LF8-LKMYs4LirheB7_n0_IGC67brybChqVGbgiB0,7969
ir_axioms/axiom/generation/coherence.py,sha256=6GhKcqUTBDDQW74B0GtJ-SDV_RxlqSdpf1C4Y9tYpIM,8114
ir_axioms/axiom/generation/consistency.py,sha256=fuvLamn_SfXsbX21tH9L055qJzUM6pyBfZmZ3KprE0I,11794
ir_axioms/axiom/generation/correctness.py,sha256=uQSdgo74UfZhsfDK_j29ZEpha_NJvmmZxcbyaK54OSQ,4171
ir_axioms/axiom/generation/coverage.py,sha256=HEsyG2JcG9JcwRFsOKMBtIVJb4E4RWNjOqHKIhn5vpA,9109
ir_axioms/axiom/generation/crowd.py,sha256=XCXWg6c6REMJimCNLcc9LB2738QV_pBiAjrbLrHkSnU,5018
ir_axioms/axiom/generation/llm.py,sha256=nj8B23_Fk2FVqacJsIgMLYd51v6ZWQO9mcwBVOjjvHQ,1874
ir_axioms/axiom/generation/retrieval.py,sha256=lBWAsO2ag8N7WohteWZZxjNugE85h8a3cmUWuyJ2cMc,7471
ir_axioms/axiom/generation/trec.py,sha256=zZxSTQG8MsAKRVOJ-kfYlPdQ-RLXZDGBZUjsVFVwnQg,3560
ir_axioms/axiom/retrieval/__init__.py,sha256=5y_mzpxCXSmuOwec9iYAm2B6Fq_sUEp3Yu6jpfjPI6A,1604
ir_axioms/axiom/retrieval/argumentative.py,sha256=uiToAr2gu-IncW2n559UX6O4kI_NF_ojC_i5cvpNc7E,13699
ir_axioms/axiom/retrieval/length_norm.py,sha256=xX3ZnTTMhup9LWEiFxKPssQlRqYB8zSUUcQ0mQoUbqg,5918
ir_axioms/axiom/retrieval/lower_bound.py,sha256=nBMFCSUXJOK0HlZV5cSEnO8aNpdRDoPAV2EHlRFI52s,1928
ir_axioms/axiom/retrieval/proximity.py,sha256=nHU5cIQRL-D3P-0sFk3XSVMOp_78CvTr0x86LEPnWnU,14247
ir_axioms/axiom/retrieval/query_aspects.py,sha256=C5areMReTWTLMuw1N4cUlux4VRj-B_uM-tNGGeOIpSc,17684
ir_axioms/axiom/retrieval/simple.py,sha256=RvRjP81F4AFETzgDjr-AqivY3xQX98Yl1_WrgnH8sIc,1318
ir_axioms/axiom/retrieval/term_frequency.py,sha256=vCZdoMct3GfMRQm0Mn6Z0KL5T1spHPf6duGxIodjbcg,13390
ir_axioms/axiom/retrieval/term_similarity.py,sha256=_i_j-EDaeaitxC9Fi34EKdgO_C4m3blq9sxtYO9R7Xo,5607
ir_axioms/axiom/retrieval/trec.py,sha256=sNdYfRGepP1eZOomjPI6lxeR4DQggM_e7pzjhFmAalE,1192
ir_axioms/integrations/__init__.py,sha256=r8gu5wImWA8Z6NrYCkaTxvnBW5UNGag0fkp5PdSxnvI,339
ir_axioms/integrations/pyserini/__init__.py,sha256=lIubuvvdURlQ6c69PyJbFm_Ws1DTGL9z_r7_9ovgzl8,120
ir_axioms/integrations/pyserini/utils.py,sha256=iJVT-T_yhEXyCKZ7D1vEFwIHzXMfpCudaF_LFzI2sGQ,2886
ir_axioms/integrations/pyterrier/__init__.py,sha256=nDWz8GERV7jin7ct0aAjzGysy8L0Fs2HHVrtCo0lj9c,485
ir_axioms/integrations/pyterrier/estimator.py,sha256=EN9oTDtY6gkXAZ8aYAd8M6mKKvdY0rJPNwhTX7n6SiQ,5849
ir_axioms/integrations/pyterrier/experiment.py,sha256=1dBZTM5DNk3ouXz1mLjn3DSf8iZl1qmyThHySwiI3vk,11228
ir_axioms/integrations/pyterrier/transformers.py,sha256=_x0dBiv6TVsfGTrrKGwpnFl7ZXZsV1JSsMjMJwEQuhY,10439
ir_axioms/integrations/pyterrier/utils.py,sha256=44T6LTwkiUWQt1yCdr3TmsUUyxWUPpxxPAo86NSguJo,8589
ir_axioms/model/__init__.py,sha256=xE8GLHlvc5JVHQvJYbOwYCgqbrw6NUdvb8AXz7AaA-0,850
ir_axioms/model/base.py,sha256=LFABo_IYaMHqmatHEwyZ_nlH46KejzY8kH2mhHJI0oo,341
ir_axioms/model/generation.py,sha256=Gq_W4tY_WqO_64aE6qLpdOnpSPGmX_4-Gv0JMrP9KKc,1497
ir_axioms/model/retrieval.py,sha256=V5IP9JVVYHxKAjCgO8E1nbjfCVyAmBWVuE8JPAEAqA4,4835
ir_axioms/model/utils.py,sha256=ycFUcLXwu6GXNnEHLvgqE1hKrVkLFQHhaVesdqBOCag,427
ir_axioms/precondition/__init__.py,sha256=MOfuOvTh6Cmmr5wrN88KHVaVgDcG1k_17H7gOFPxsKY,372
ir_axioms/precondition/axiom.py,sha256=svj1rsvmss77PQZUpxclFdwVcareotyW_RURCFXcjZU,1024
ir_axioms/precondition/base.py,sha256=aXnW6NoeyPSS2FSlZJUpfvaxuLE2_io9zhHl8DhrF6M,1957
ir_axioms/precondition/length.py,sha256=Aet8-s41x2-f6fZVCAlsh6XMesyKDga7mrBjqNz1L44,2178
ir_axioms/precondition/simple.py,sha256=llRTJ8041CQ6ExCODzBr-Dq8uxzWfUVo-AVZg2A1fNY,797
ir_axioms/tools/__init__.py,sha256=RL8KiPLEiOmWtEkzDiq30_WPkioaYU00UO3AUu8eRR4,1989
ir_axioms/tools/aspects/__init__.py,sha256=OSXELvGfMCjIANIHhIu6jF4cddweR0Fyv6mYEOZ1UcM,703
ir_axioms/tools/aspects/base.py,sha256=FVl-L19nvvZJyK5coztPxTw40jX19ciMRgxpuHANx7g,363
ir_axioms/tools/aspects/keybert.py,sha256=jHoJRJxLqc7dqjtv9Kbn5luU2TbnjrXYZHeQE315drk,1534
ir_axioms/tools/aspects/spacy.py,sha256=DAaq-n2dYMJFsGPOXGtFTkySxs1rKDX3lZ9u7RTeUdA,1662
ir_axioms/tools/aspects/textacy.py,sha256=GhJ01cvvT_WVrcauRE84iLWvDipDFnjogvK-pPC5KQE,1414
ir_axioms/tools/contents/__init__.py,sha256=I3VWjq8SHp8YPr9PL9m1eyCspPGWze-BV6C9mqZAwNw,2046
ir_axioms/tools/contents/base.py,sha256=odq46aQeLfXYr6UgbC5VH5aiN45fEUzDH9WX-l7JE8c,212
ir_axioms/tools/contents/combine.py,sha256=yxdmELalil0J9rw1apCVMW4vwQvod70jjLCMaguZ0bM,1309
ir_axioms/tools/contents/ir_datasets.py,sha256=FwP7aDWsY-tdR_TUz8ssAzwRVf9bNAeaX1y-TJwPHpU,1713
ir_axioms/tools/contents/pyserini.py,sha256=kgurmPddSP3caM9mCToHbZ9mRv2MNFykpO4-xnoyXyo,1123
ir_axioms/tools/contents/pyterrier.py,sha256=l9QTFFqOIHtlR6Y4CKqbm9Uv9Ou_282AZlubaLE_i4M,4780
ir_axioms/tools/contents/simple.py,sha256=ma5qLdQtc0es0_E1KPosKyKWwd5z3_SrV_iJ-NSdF1I,404
ir_axioms/tools/index_statistics/__init__.py,sha256=Tdn8xNEe1QEPjyZwzhUbo6iAikQV8rvc7GEa0HmkR6k,324
ir_axioms/tools/index_statistics/base.py,sha256=MmLEfe65uwYiLhNVC8sKOYEkSapSltelb_XQewk53nM,474
ir_axioms/tools/index_statistics/pyserini.py,sha256=Kdpyn9F8jdELj6KfPlDL9czFXzRCSRvxxguZ_VN1XXs,1353
ir_axioms/tools/index_statistics/pyterrier.py,sha256=qs0lX5DP7Jb_yvM9XKrl5ukxiVdrLz55g5fJrTWpcj0,2342
ir_axioms/tools/pivot/__init__.py,sha256=383vRnzASQm1S3tevxoZIDhVGWimqDmoOy1HC0FR4t8,530
ir_axioms/tools/pivot/base.py,sha256=v703sa29kq-foISqj5NIyn2XgKa-prpiHCQEEdAripo,309
ir_axioms/tools/pivot/simple.py,sha256=JcXA7nMpM4kmGEc-ThDo5yWWaaDPonfufW221Qxe4BI,1338
ir_axioms/tools/similarity/__init__.py,sha256=3k3VjX14NllqmlksmYa44At6t3VbN5SXPF11rJQq52E,1442
ir_axioms/tools/similarity/base.py,sha256=N4c5d4TuITDyMDe5zYnbxeZxrogoE3PN3ezFJheTU_c,4120
ir_axioms/tools/similarity/fasttext.py,sha256=5j7WsdFM8ZREpYmEMxWaajwm_WxYS_z2kide9ZQFbqo,1166
ir_axioms/tools/similarity/sentence_transformers.py,sha256=iyy5-jo0meNmNq_s9rlVLY4dp9TIaB-_Wzzn265k3cM,2589
ir_axioms/tools/similarity/simple.py,sha256=6MdNkIyfGIKOKxMhuT8z6INawkIO8OrM1rCf0NI0oSE,840
ir_axioms/tools/similarity/wordnet.py,sha256=CCVRuVPFJKFdIXl27IWNlE2jfsGDSx_4Ypin82m5r14,1323
ir_axioms/tools/text_statistics/__init__.py,sha256=hFE1RfueliYKflh4Fy55rDAGfULNAO1xsQsqrhk4wnA,3342
ir_axioms/tools/text_statistics/base.py,sha256=DlE1T2kWjFRO8C9QAknVU86Qz9Mz4-zVdrqCJ13QWeQ,770
ir_axioms/tools/text_statistics/combine.py,sha256=XK2w2ms6w9f8-VGmCEu1zrNt6evX5l2DBtpDkpIzbsw,2155
ir_axioms/tools/text_statistics/pyserini.py,sha256=3SQZw3BGS2HUCOSMOZP2hLnHjdw7q9jYt2gjdWgXvS8,1656
ir_axioms/tools/text_statistics/pyterrier.py,sha256=MiEV8OYlMN-Zg2N7ZBsN8Pf9A12pkoE2SIdWaJARaE4,3444
ir_axioms/tools/text_statistics/simple.py,sha256=b8NoOWJc4eHLV1x_xTLCQZGFJphxlw8FKBMGrF10dmw,847
ir_axioms/tools/tokenizer/__init__.py,sha256=povGIpuZQQeM14zZbZY1jG7JPCph39LkJiFjFUZcWdA,950
ir_axioms/tools/tokenizer/base.py,sha256=zw2_so0e14IiF-vqXmmLY-HlB0mOt96ipKmZjkEURTs,491
ir_axioms/tools/tokenizer/nltk.py,sha256=T4Wp2tWerB0TSskyOePk5W4UkDFR1FRnLYvZq9JvXkg,1281
ir_axioms/tools/tokenizer/pyserini.py,sha256=wParc9KI2UCjeiTs-etKs6gIysbvjYJqZ_FmC_XAubw,674
ir_axioms/tools/tokenizer/pyterrier.py,sha256=3ygt7T10Vmp9ykoKweFoHT7VudbG71ArPPMu4gkkPk4,3203
ir_axioms/tools/tokenizer/spacy.py,sha256=0Zzw74jsuzfs8qvDVy9HsVjWwr_UWlxwUmY7KOBHwwQ,1928
ir_axioms/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
ir_axioms/utils/injection.py,sha256=AwAf6fbMHzIFa1VvLOlWEIMBHliioGVjGHri0k9TvYo,707
ir_axioms/utils/lazy.py,sha256=bKP0rYocp9ClXywejhUxC-TJ4zwbtZwIcBjrKg3dxmo,497
ir_axioms/utils/libraries.py,sha256=lxXJZ7uBFhLQcp-HHqoklIiZos8nIwqSD8AuVSgMH3A,834
ir_axioms/utils/nltk.py,sha256=PrCjH3W2oa51YAhs_fGnCNZk3QcNhSmujKM_hQ5fwQU,605
ir_axioms/utils/pyserini.py,sha256=ZxHE55D-qAYUaMs4ihZva9PqKoAmaSFTxkFhRmX2NyM,1518
ir_axioms/utils/pyterrier.py,sha256=5oc_UyCR8fYZ28mIiZ6PKIieM_D11CZpRQbeYy-vbYY,1540
ir_axioms/utils/test_lazy.py,sha256=rNMpYixDtlCP6pajdpqgtkdqLno66Qi_VwUT-o9UjQI,1234
ir_axioms-1.1.1.dist-info/licenses/LICENSE,sha256=Z2d6DaclVakUbsp3GI39gxGXTETdTWuvwIyQTC4AOoE,1068
tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/test_arithmetic.py,sha256=ZTlDyD0W97458uzyh3FSOzk30KsHH025sTYfAavUVPE,5559
tests/test_cache.py,sha256=69pRlEM9RwskVbh714DmnC4AoFppmFktzy1jJ479vlI,2320
tests/test_empty_content.py,sha256=w8lYB_xyxhVCViymf4aI1i8FtnVVNV3oqnvTvForNBw,2771
tests/test_estimator.py,sha256=oTxnUGlEGjta2yiwCU1p-TaWMQAmSti59jzL0lE0Ef4,1632
tests/test_length_norm.py,sha256=ug3H0HK0o-BWvL0yCRvRcuZb96mDRTksf4zyJsGTZs4,1092
tests/test_lower_bound.py,sha256=3FCGXPUogLYXBnuCE815eTcsdeKoX1AN6NyjEWJERPY,668
tests/test_proximity.py,sha256=KUW1OMhoj4GCxAP16q0X1RQw2hu8BtQU5nFDc-c9DzY,2836
tests/test_pyterrier.py,sha256=7Bj5hKsRQS_FzZfDAYLJ5xFiB4_182J46OI6tse_iII,18396
tests/test_pyterrier_pre_tokenized.py,sha256=UPZAXweicDHaVBdxYfCjbtim3SXApcM22WRj-uFBK_Q,9953
tests/test_query_aspects.py,sha256=pKJXJoN_zSBXR3KrwEHIAwQCrdtCh9Mt2pshfCbrn1E,6538
tests/test_simple.py,sha256=A3uRr7S1EP2Z2lirAIgbnhPt3GwZoz6Qnmmwl4gHFl8,1266
tests/test_term_frequency.py,sha256=7x60aq0TP4a2GcNQOPBiTe7fvR2QZpy6atrWkXRSwDw,3403
tests/test_term_similarity.py,sha256=r3EZfc3e-_xgriheJO423W3X9jrFnOjoYxzsKXTOHXY,2013
tests/test_trec.py,sha256=5GsyTKxecjvl5woHaXl6s7X3vPWpH3BQXvqmzXpIkNs,659
tests/util.py,sha256=wIMG6KBX-8KYbs3L13-mSqm2wFj-an-y7yZB9lkoZiI,1355
ir_axioms-1.1.1.dist-info/METADATA,sha256=5QKNXgRS0TDH56mQOf0U2Wk-CMj-H1bssvcTh7-YEfQ,8106
ir_axioms-1.1.1.dist-info/WHEEL,sha256=wUyA8OaulRlbfwMtmQsvNngGrxQHAvkKcvRmdizlJi0,92
ir_axioms-1.1.1.dist-info/entry_points.txt,sha256=V0jx4CqiPa3hrlQDKgGh6BqpO9ZP2jNGxcnyzLbfj0M,105
ir_axioms-1.1.1.dist-info/top_level.txt,sha256=4WpQgXBzocKKTbKoTd3xNawY8WRGZfsAkQIheFVU6uo,38
ir_axioms-1.1.1.dist-info/RECORD,,
