prompt_learner/.DS_Store,sha256=xjShrr4-uMR0fOje3ilVpxG0NOT4xsDLkhzQxhOpTWU,6148
prompt_learner/adapters/__init__.py,sha256=2V3WcfinxlwQJv48YEuE3rYNG0DjSEChlOwlBTP8NXc,28
prompt_learner/adapters/adapter.py,sha256=2lUnyIpPy0IFGoBMiyFrDebS2Cd9tBBeZjUhF2tzsGk,1179
prompt_learner/adapters/anthropic.py,sha256=gOpMEtNfIVMu6eQqUckEjOvJrgorpNr_XIN8zRYEBGo,817
prompt_learner/adapters/llama.py,sha256=gYmdqrnDlqxQKOTXlDKLa29IgQRw1eOQWX4T8Tr4GWo,757
prompt_learner/adapters/ollama_local.py,sha256=DZ7opsIL6rD_phYrAT9qdgP53uv6ZO7w2YTrtp2jET4,1076
prompt_learner/adapters/openai.py,sha256=Z6pb4xIVkFnnX5pGXRgn6_jTd0Gng_ePYOvOyDOZhbo,757
prompt_learner/evals/metrics/accuracy.py,sha256=Zy4VeEUcEtT2HIMy432nx2xl1DSBx3x_R7XpoBX3DNs,1278
prompt_learner/examples/__init__.py,sha256=Y3aB-yl_P_AlTEWRGhAqpytzJNUBY7n3JkO04ojhin4,29
prompt_learner/examples/example.py,sha256=7csFihEs20tU14StKiwbCfwJb9h7U9cZbUh4OGAZ2wo,316
prompt_learner/examples/manipulation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prompt_learner/inference/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prompt_learner/inference/predict.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prompt_learner/optimizers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prompt_learner/optimizers/grid_search.py,sha256=W4OgyMAJwau9W5gDJEF_w0638NdZrYjjs7qeCTFyGUo,2999
prompt_learner/optimizers/optimizer.py,sha256=wmib5NiSF1LoOZ2QQbldmLYzox7PBDUVVYN1vitq8sc,539
prompt_learner/prompts/__init__.py,sha256=01JhSlgIwiXpuHckD9eioZym4s_E4ezlfSbUd-QvuGQ,26
prompt_learner/prompts/cot.py,sha256=cS_eNSQE9v0yTai8myDtXoy8VI5Zm5jjdZohEyaaz9k,597
prompt_learner/prompts/prompt.py,sha256=LcrjfGr2MCOHYrDMb_H8TQOxr4oMbFdkKNWMySu8PpE,1114
prompt_learner/selectors/__init__.py,sha256=7B4lSm0yzMj9Jc19MkcIf6TKisnbTAiPJxXxrjeHcjI,30
prompt_learner/selectors/diverse_sampler.py,sha256=M49i-cidKCVEwwBJWCnRehm99hK-Agh-xHD_-sKqRh8,1635
prompt_learner/selectors/random_sampler.py,sha256=9aFcKoTTvHZN78D8UIARGm-Ai77TiJNrqB5M5Twb3Do,599
prompt_learner/selectors/selector.py,sha256=lMElziXY8RvpMf5pnaDNdQFILdi1jyhKnpWVBMPdalE,880
prompt_learner/selectors/stratified_sampler.py,sha256=8Y9c1ybxzJBy37XLZ3EgU_0gU6LR1ihPqAvP1eoxbA4,888
prompt_learner/tasks/__init__.py,sha256=PD4IL6k-cpx7islk8P9eEk0Z2eRLQkbUdrR_P0Op7MM,22
prompt_learner/tasks/classification.py,sha256=UwANKMIDfVfLWRwsYkyPn8SaqCKNwkTVKKC8-T4TGdw,625
prompt_learner/tasks/sql_generation.py,sha256=O7hYGduu9D0lpXUdYr7sy4PbmqifWiytMMWpkbG2jgs,400
prompt_learner/tasks/tagging.py,sha256=kX2PD-qlVu7-bG4zlmUCTQAIA-2FNA2Jo6IKMu0EUnE,529
prompt_learner/tasks/task.py,sha256=ElJcfp-E7ekBrRJP_OnliC8DehW7oku4rubF0TfBzTc,1589
prompt_learner/templates/__init__.py,sha256=kmoiUAbxNdooHMTeu11MwQcClRUNJPThh0gHCe02ZmY,30
prompt_learner/templates/markdown.py,sha256=b60T8M8wstt8mQTVkJkik6n92SQlmZbjp_89Pa-BF3I,2805
prompt_learner/templates/template.py,sha256=uwNeamCFpDG38rXO4sbpZdAr-XXz4O7GSGLY31y6apI,1638
prompt_learner/templates/xml.py,sha256=tzS_CWaOuCpoMMMJ7uHu5-Fu2Q-lKSK0K-BRZaoewFQ,2906
prompt_learner/translator/translate.py,sha256=Mv2Tq65FfY6MDyyf0lf1d1psIu_OGQNWy1QIbzCu0II,3373
prompt_learner-0.3.2.dist-info/METADATA,sha256=N1CHnQkrADB9dWW_c1cF8WXbcrDr9waZ-xX964LGwyA,3012
prompt_learner-0.3.2.dist-info/WHEEL,sha256=FMvqSimYX_P7y0a7UY-_Mc83r5zkBZsCYPm7Lr0Bsq4,88
prompt_learner-0.3.2.dist-info/RECORD,,
