langframe-0.4.0.dist-info/METADATA,sha256=n99O7TOSjIverQ4StTHKrac3KUxTiyh2KGx88Qt7V44,3834
langframe-0.4.0.dist-info/WHEEL,sha256=2OnzeD-Mt7eNjmrtchSJO1LUSaCwNHKze1SLnzTwXU8,94
langframe-0.4.0.dist-info/licenses/LICENSE,sha256=HrhfyXIkWY2tGFK11kg7vPCqhgh5DcxleloqdhrpyMY,11558
langframe/__init__.py,sha256=4WpehaWNkws5nk9a_mwI-0wYNim8wEhP3gXZkN1ZASM,2977
langframe/_backends/__init__.py,sha256=X2geWE4TQXEivL0Ha-tgJElnIHBy0qqQtjpazBAPI-0,227
langframe/_backends/base/__init__.py,sha256=oyf-JrNuH6QEXZeIpzjKmddLcKAUawZwS-677Kn1Eqc,352
langframe/_backends/base/catalog.py,sha256=FCjxwsJs4uoeryM9XcDPgYedaDKI_SDxtMwkT5EhAbA,2759
langframe/_backends/base/execution.py,sha256=GamEMbDw8tPieBycpxHk1RXDrNlGAsaN-HQsBtG5s3s,2297
langframe/_backends/base/lineage.py,sha256=LsJaczaVN0zn-bNaVbnL4BzzC6BPN3bNLwIkMhyGMG4,1539
langframe/_backends/base/session_state.py,sha256=Phjd3r2yZ-6ADdWuHumb3Do_Rkh2n0c5kgdVrsFTN2s,520
langframe/_backends/cloud/__init__.py,sha256=eD1pLWCIZ6_bnZ3mCukHvB4KdsrqGlZr5W0oD5HSaOw,208
langframe/_backends/cloud/catalog.py,sha256=EJjuUV9bJMh9z16J_PiVDNUdOJIGvL4U5F1Q6wkmNNk,14888
langframe/_backends/cloud/engine_config.py,sha256=h6bD7qJWmPkpzKA8u70xDPQf4xeY0cQdkaoXkOmeVzY,2717
langframe/_backends/cloud/execution.py,sha256=9tePxHFReT3RHG-duOZDJnvQmQhcWhALYqw_X4M0u9M,10402
langframe/_backends/cloud/manager.py,sha256=pr4Z81mr19ypdRERxgNIiz1ooB24FCbtWWqJCAaipGA,10165
langframe/_backends/cloud/session_state.py,sha256=nCnGwrU6G8jw6UfiSUrmuiiyao-B4hdz1091A-T6Ga4,10874
langframe/_backends/cloud/settings.py,sha256=ZfpUWLKnkORn8zxDuUXcIKGkqGA93h210LFLOag_87M,2487
langframe/_backends/local/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
langframe/_backends/local/catalog.py,sha256=D2w7IehIqJB_Ur5D12MBrfGxR1fLtOYOp-OWhU1RkAY,19687
langframe/_backends/local/execution.py,sha256=hQOiPn8QAtjYSoWdqzOf8zxarW58irXOTNE9KX8Mqmk,10785
langframe/_backends/local/lineage.py,sha256=aGpXuttvA3KA_NBOtS1O-2TVB2DSxFb8UbT-WmszUCU,7199
langframe/_backends/local/manager.py,sha256=PoUFSNzTC7q9jf7B8pgKrtisgp8-HENj3hTUmaskvdE,4252
langframe/_backends/local/physical_plan/__init__.py,sha256=0rgYVR1jZkAHRq6kgtp8lJ42R9cfSul1QSRoBxHnDDo,2627
langframe/_backends/local/physical_plan/aggregate.py,sha256=6uqUudvZYHmmhsOgWziSDS2JA2jPZn4qkk9ssZol7To,5014
langframe/_backends/local/physical_plan/base.py,sha256=nsx6B5eGSlX40ud8Zjz0Glz7ItUDzHWV11s_K-di07s,11987
langframe/_backends/local/physical_plan/join.py,sha256=ClcDqfA6kHUv0YhHauJAF_zdDgRq7iDrqZy6_8vjyFM,10979
langframe/_backends/local/physical_plan/sink.py,sha256=xFxcB_61j9Uxc8mGoZoN6EgoKg0gO8fAXD2-EY7ZAhk,4418
langframe/_backends/local/physical_plan/source.py,sha256=bH8dsLigrHATGiDbefHB3XoEwbkmAHMPQTx5Jdq1oGI,5045
langframe/_backends/local/physical_plan/transform.py,sha256=5EldV0MOUoKLUQVtMxAPWkOCO_OBOUb1cYbgyG2bo4c,9904
langframe/_backends/local/polars_plugins/__init__.py,sha256=S2lY3nN4P-9fEAAR0rX48m-Lp9E8W71Wo-gHS4NKuBU,980
langframe/_backends/local/polars_plugins/chunking.py,sha256=PchlJrsnelfDsQYDElaWhVFjqljraFwloGyzcYW4Ndg,2940
langframe/_backends/local/polars_plugins/markdown.py,sha256=EjuCRmrovNtnfPX7_Nsc61nU2sc6617_ezgj5TjXgbc,3000
langframe/_backends/local/polars_plugins/tokenization.py,sha256=IVx0KmO36Zttdb7EYoieX_HFkbqugabRFGeFMvgKe40,873
langframe/_backends/local/polars_plugins/transcripts.py,sha256=Kn3-IRgKZJh7TKyrNILr8BRKZBJPW3VG57luCbLDmto,1113
langframe/_backends/local/schema_storage.py,sha256=nNeIR3dMZwMfXi6Z5NVlbrhcCRuXbNiJwlripisHv4s,8065
langframe/_backends/local/semantic_operators/__init__.py,sha256=KdDFOWQKjHpB8xId_KXyMcKBFZkx9JT6bacsqZ26z2M,853
langframe/_backends/local/semantic_operators/analyze_sentiment.py,sha256=h00dFOJh0fgZhokbpcRAVYE26L1m5qXBfie-9UHXIdo,8777
langframe/_backends/local/semantic_operators/base.py,sha256=AUhI-s6UKrks6JjM15TYl-VAVMJP0Ci_h8I29VhTXH4,11158
langframe/_backends/local/semantic_operators/classify.py,sha256=GusWko-sl5kKyTmOVTxin3e_zgfAQK49mY_tPMIbeuM,2737
langframe/_backends/local/semantic_operators/cluster.py,sha256=dlwWp_Yrg9GHSbWvUAmAQ0C_1lQaZLEOj1oYpk_zWQ8,3052
langframe/_backends/local/semantic_operators/extract.py,sha256=XTLhCTNzZYKkUUa_OYLkWY6vegkSNE7ZJ7bg4iBSnMY,5533
langframe/_backends/local/semantic_operators/join.py,sha256=pZuV524JEEGm8hM-d4KuU3-qKVIelJibiRy1yLln1pM,4032
langframe/_backends/local/semantic_operators/map.py,sha256=SEVnVhf7kS7pS8xfAWXm1RPPOGsX48CY2m0GTnKnWxM,2401
langframe/_backends/local/semantic_operators/predicate.py,sha256=AeRiOg6KPZqMWF34kvVWLQvjHzEhVX9zvgrIEo71x5I,3585
langframe/_backends/local/semantic_operators/reduce.py,sha256=OEVYwGGkCehO-GQ7rzeRGnuMvRCaorvAAvzHf4od3ms,10197
langframe/_backends/local/semantic_operators/sim_join.py,sha256=kyJN2fTpUGMZTuwtjCRHAognzkoAWJMss3gxX50f8Ow,5250
langframe/_backends/local/semantic_operators/types.py,sha256=xzm2EkurPsOn8vbUrIVCMhDkQGMIuIj7Q-gGFtKEr7k,829
langframe/_backends/local/semantic_operators/utils.py,sha256=AZj9d8HL92Y8_-eTZsL9KrLE1GBPiUfpX_-USqvXwQA,1512
langframe/_backends/local/session_state.py,sha256=kGkqWAym_9vF-auAXzRHCJikMZj8hTKbPMiwKLR5bBE,5511
langframe/_backends/local/temp_df_db_client.py,sha256=v8cXaJ2w7yocGbDLhKU2b-TT7T0_05-4OHeIX-D6K_U,2115
langframe/_backends/local/template.py,sha256=7Bp-39vvMSBhQKX6cFPbG3z58SBpiOfgiJeiIdyjyH0,7265
langframe/_backends/local/transpiler/__init__.py,sha256=hkhaA-yybK-kpJ1PfhT5Cas-f4ncuuAXRkKAOp6yq-Y,374
langframe/_backends/local/transpiler/expr_converter.py,sha256=-MZarXynjrk_F1QsHXRDx0gPG2-ICeWqNxpZye6nego,34221
langframe/_backends/local/transpiler/plan_converter.py,sha256=FJ6_K2uNI7f-nciFTAohPgTtBv9bxwuu_wm4lLklOfE,13955
langframe/_backends/local/utils/io_utils.py,sha256=ghio3Z9Wmg4Xvx4CpqlNzNxZqYpyCsQTrCD6Hc8QVTc,3079
langframe/_backends/schema_serde.py,sha256=ZWBnJx4sTE2gV_qzjPbiLa30WxiYqeCxM3tF4l4e300,6125
langframe/_backends/utils/catalog_utils.py,sha256=82rUOfI9rhgOp1gZ1asa-2IU2xeJ3mIijxahu2HD9JU,4705
langframe/_constants.py,sha256=9o171iuvtE1aes0gnYjHq12n1Um_HKbmlthrrX4wKBs,376
langframe/_inference/__init__.py,sha256=mrpL47lx08YOf0YMe1KtHZZluAjRjRE0B3OJvvk3cdg,449
langframe/_inference/embedding_model.py,sha256=zc5JmkcRgNUhGyiYYZ7tKkhN8GocIRyjRoU8p1kW2po,1239
langframe/_inference/language_model.py,sha256=gd6SO0KFyXsZKiFMZ42H5xPbcD0UZRasLpGPgvziWIE,2757
langframe/_inference/model_client.py,sha256=3qJujh0Ytx0q7RQJ42hTc7WLKvS1gvlIpxQ2m0bFR8w,26146
langframe/_inference/model_config.py,sha256=irxQoP7oGSuCo5wyENVOtqBbzjcu5wSVNasl-aPU6rg,2017
langframe/_inference/openai_batch_chat_completions_client.py,sha256=jTJFY5XsxCUsMSOtdKf2wfQk2h3XmCfZ5VHQgylgWKA,5829
langframe/_inference/openai_batch_embeddings_client.py,sha256=1XgDNGEFi3QvWWq_iIv9_CMExCHwcXKE6mVXFdo3W4c,2585
langframe/_logical_plan/__init__.py,sha256=jFcbKc7f7qZqUsAxYYUfJRNyBUPrfc3PMsZdfTWijSo,174
langframe/_logical_plan/expressions/__init__.py,sha256=TQm6JniCVwpZUhYXZUV5u1XkzWJV9j3A_J-G_9XcSaw,6384
langframe/_logical_plan/expressions/aggregate.py,sha256=iYDS61HNp4It2BW5Hc1RrYSTTbt0t5qDUb0sAx7nGgQ,5397
langframe/_logical_plan/expressions/arithmetic.py,sha256=uVSCTWlrzz7B_7MiIqsnLfjc9WQ39qpgb6WF_39Ao6Y,1873
langframe/_logical_plan/expressions/base.py,sha256=Mz2htdOiop5JoQoubx5mnlWvq4tOf_rIcihAHqh1IkU,1636
langframe/_logical_plan/expressions/basic.py,sha256=pUTgENSIYcGmLDnSl849eZ4K2wIoux-HLPDyFVBMBM8,15709
langframe/_logical_plan/expressions/case.py,sha256=KJsKkQ6JEtKqZKAyT2WE_QugC_InNK2RF2y1rcAVBMI,1687
langframe/_logical_plan/expressions/comparison.py,sha256=9atBCqZBH4hDdr2EFXPincPkbocoUjcbcz_gbFIU7rU,2543
langframe/_logical_plan/expressions/semantic.py,sha256=sqM5f9GCvz8wMv-rWrNAmpDqjYtv_Bn1K_GMYNS4s1A,10317
langframe/_logical_plan/expressions/text.py,sha256=-DqWiOOmbag6Xhq1dt8Fsyx13v6n8r64ya6VRB-PXvw,38679
langframe/_logical_plan/optimizer/__init__.py,sha256=2zJLVAs75PLWmjD3m4y0I2bCvyAz9Ca1_2ePlJrdx7Y,1115
langframe/_logical_plan/optimizer/base.py,sha256=uWwQJ_jgU5vdEfUKwimZ1RA8U-Q-QdRgIYMTUeefWK4,1576
langframe/_logical_plan/optimizer/merge_filters_rule.py,sha256=VtepIJIMPockUEUFXRyL4Qaos4F9fvUCVExCKGOCl7k,2123
langframe/_logical_plan/optimizer/not_filter_pushdown_rule.py,sha256=k0zYqnd8k_GODTLPG5cQBNq0xAp835NgUae3mxtIosk,4686
langframe/_logical_plan/optimizer/semantic_filter_rewrite_rule.py,sha256=v_kPzDIByhRyHSml309b2e-1yjsBVSbdbdeVPDq83pg,6438
langframe/_logical_plan/plans/__init__.py,sha256=u8iwxuI-2d37ww7eOwtHsQt07pO-aRvH5WFe6WX09VE,1188
langframe/_logical_plan/plans/aggregate.py,sha256=8PwaUXShF6RyHmajAtg1paEtS2ARvEkEGizDsn3EWvw,5105
langframe/_logical_plan/plans/base.py,sha256=za-a4tWPxiQnYyMJ4mYw0Q7sWDfEY7Ip88GS8g7z5TY,4396
langframe/_logical_plan/plans/join.py,sha256=HoIZ_Zl65j1HKuWXIhpzpAdwgLVPWoTL2w5EotR7pEA,12205
langframe/_logical_plan/plans/sink.py,sha256=W7TJIhBSgQF8syRdyqdZpkDFqChktnx1fO79oSdNGtU,4638
langframe/_logical_plan/plans/source.py,sha256=EucUIuixRPJ3zTpchbwHvVJr6PFPcSljgWBYej7vXPw,6644
langframe/_logical_plan/plans/transform.py,sha256=2Qjzv5WPxDS67c332iyzrYjqrCjIu413NXJkQAqejJA,10847
langframe/_logical_plan/serde.py,sha256=Ip1KoPy9fUsaR8gEo3vbko3bHN5QjJ33P743Z-MWlJo,2035
langframe/_polars_plugins.pyd,sha256=8LoIxxjSFAn7FsVtGHxkXjOdtsXoL1p8ElGviSgdHhQ,23399936
langframe/_utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
langframe/_utils/extract.py,sha256=krUS2tsqBxAbW_I8lN_N-wxo3l9l1mi8FFPgroeecPc,6064
langframe/_utils/misc.py,sha256=wu_wKAQFiG2pKbVD330QIeBaM6PZ1mO5hq1h01tPaGo,1891
langframe/_utils/schema.py,sha256=0QfmefPfZCC5WX_tAJ7vlB8ojUK-YUTdg6vCu8L2Zak,9779
langframe/_utils/type_inference.py,sha256=okljdhinPxRq0B3z3AUfRZGe2qwxGbbC5C97XTLnqTk,3483
langframe/api/__init__.py,sha256=hEBoKFQUmd7FOerEPRjcU8ZWyuktm-Q-dOEsyhfTuGY,3149
langframe/api/catalog.py,sha256=JYx5zbLp9JVnT454GV83-w3qwyxq_m7UO4UWJ0vLkRc,11956
langframe/api/column.py,sha256=9-SIZG1TpZx0yQ1it4GwzXNKNceYFpLxiM_yqBaGeo8,27075
langframe/api/dataframe/__init__.py,sha256=HFu1tT3DzWaP6Jtynjq7ElR74xguFETPI-2gvGuZW5k,309
langframe/api/dataframe/_base_grouped_data.py,sha256=lqUKnyO9HQfZvYWphmbtpee-D5v8ogNSuxnY9-fAzE8,3455
langframe/api/dataframe/_join_utils.py,sha256=ITHAqZXEfTgG6feGAP7COC0KfVUSbnbsTQGa75srDGk,6211
langframe/api/dataframe/dataframe.py,sha256=_ZNaFmS4FbtP20gB1jF_SPKnYQ7pnr8CTPwPIVQO57o,36294
langframe/api/dataframe/grouped_data.py,sha256=mZU8KVc72EsfL6S2OhYJBIWsjHQtGjDmFjxku4KfJQc,3220
langframe/api/dataframe/semantic_extensions.py,sha256=1FkfxmFrhSaXsb-kjjvp7b4MfAOuQv2xLm3jdwV9f5k,14764
langframe/api/error.py,sha256=FJGLIv72Fwv0qhkqIxtwpFWwQJGUcbXfFTJiCg04TaA,3372
langframe/api/functions/__init__.py,sha256=qH-OTSuw7XPLTOjREbNqeZcXjKdPdIszJ7cL_fAuD_M,1038
langframe/api/functions/builtin.py,sha256=W6LhGpmLh86ekFaho4WWRfUNcggW55RYtJ4i4ijheDU,16723
langframe/api/functions/core.py,sha256=a-d9bmRvoZOxznp4VfeHrMeeSCGFIrtreBayKUDNaDc,1363
langframe/api/functions/semantic.py,sha256=RgaV69LWI4E3W72v5G8a9rus0RFLMzmHKvIAAKpLNJQ,13022
langframe/api/functions/text.py,sha256=ixjP-JUvDCOOi9l2MG-OeMtJcqNoxZyAigujZAYfu2c,33361
langframe/api/io/__init__.py,sha256=6j89GhkgOe0UC-kPLIKHhwkWY3qGiAgmDEZWIgpBw-I,237
langframe/api/io/reader.py,sha256=Waxb_RbMQ8Z_43aBWbW4pueEsolw8zaAMKZMQCey85E,8648
langframe/api/io/writer.py,sha256=OXaR2NUnc_2Vx_S_GJ6-n85nfrvS5xzOTxjVozh6LGs,4870
langframe/api/lineage.py,sha256=p8JVCXI9tp2wjalrKVoXM9ZLRmZrw9SWPxgDgRmWB7I,5604
langframe/api/metrics.py,sha256=bKgXwerB2V22QnfjkCKfLa73wNLIdd0370lPl7QmSlA,6782
langframe/api/session/__init__.py,sha256=iAn1O1kNrgz-u12uH2thF8goaa4tRvackFAQrXcu4Ug,420
langframe/api/session/config.py,sha256=_XSH3okkUoo7Ym2a6yhw3-yF_y4lVv4xhkfV7ygAO6U,3024
langframe/api/session/session.py,sha256=vap6XY24GSfFP9F9cT9_ADBPEfA3iL5xLkSfCeaQSWg,9217
langframe/api/types/__init__.py,sha256=BmoCPK9bA27sHmI0WQxcipnoCDJ5YqmhbOi7HaAubyg,1482
langframe/api/types/datatypes.py,sha256=qwue2RR3PPpQxcSD_vnzoiRsOaZlVhGTgl4PC6hZJWM,7991
langframe/api/types/extract_schema.py,sha256=wdq4xHTQjLlXQx1X8uAz6q1OsyIEhf5VSs0IbxrQNYY,3008
langframe/api/types/schema.py,sha256=xL6E3URP8DV5cKQqmrYDMaVWH2Hqa3UxYE_oudCB8wY,1484
langframe/api/types/semantic_examples.py,sha256=-iQDLqwO-pt8AcjaUKyvEuyW-QZDwJfzfXak2Y4HvqQ,18350
langframe/api/window.py,sha256=ATGWx6RSed6rIXm4sMINQLd0mlzc-wkJ8Fsg6M0fFn8,4887
langframe/logging.py,sha256=LQx1FOsHCcPtMA63PM9I6dteq1QPqqB5ANqlgX91t_0,1953
langframe/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
langframe-0.4.0.dist-info/RECORD,,
