rename expo folder to sela

Author: cyzus

.gitignore

@@ -29,7 +29,7 @@ share/python-wheels/
 MANIFEST
 metagpt/tools/schemas/
 examples/data/search_kb/*.json
-expo/AutogluonModels
+sela/AutogluonModels
 
 # PyInstaller
 #  Usually these files are written by a python scripts from a template
@@ -189,4 +189,4 @@ cov.xml
 *-structure.json
 *.dot
 .python-version
-expo/results/*
+sela/results/*

expo/results/PLACEHOLDER

@@ -1,6 +1,6 @@
 import random
 
-from expo.MCTS import MCTS
+from sela.MCTS import MCTS
 
 
 class Greedy(MCTS):

expo/results/tree/TREE

@@ -8,12 +8,12 @@
 import numpy as np
 import pandas as pd
 
-from expo.data.custom_task import get_mle_bench_requirements, get_mle_task_id
-from expo.data.dataset import generate_task_requirement, get_split_dataset_path
-from expo.evaluation.evaluation import evaluate_score
-from expo.insights.instruction_generator import InstructionGenerator
-from expo.research_assistant import ResearchAssistant, TimeoutException
-from expo.utils import get_exp_pool_path, load_execute_notebook, mcts_logger
+from sela.data.custom_task import get_mle_bench_requirements, get_mle_task_id
+from sela.data.dataset import generate_task_requirement, get_split_dataset_path
+from sela.evaluation.evaluation import evaluate_score
+from sela.insights.instruction_generator import InstructionGenerator
+from sela.research_assistant import ResearchAssistant, TimeoutException
+from sela.utils import get_exp_pool_path, load_execute_notebook, mcts_logger
 from metagpt.tools.tool_recommend import ToolRecommender
 from metagpt.utils.common import read_json_file
 

expo/Greedy.py sela/Greedy.pyexpo/Greedy.py renamed to sela/Greedy.py

@@ -1,7 +1,7 @@
 import os
 
-from expo.data.dataset import SPECIAL_INSTRUCTIONS
-from expo.experimenter.mle_bench.instructions import (
+from sela.data.dataset import SPECIAL_INSTRUCTIONS
+from sela.experimenter.mle_bench.instructions import (
     ADDITIONAL_NOTES,
     INSTRUCTIONS,
     INSTRUCTIONS_OBFUSCATED,

expo/MCTS.py sela/MCTS.pyexpo/MCTS.py renamed to sela/MCTS.py

@@ -9,8 +9,8 @@
 import yaml
 from sklearn.model_selection import train_test_split
 
-from expo.insights.solution_designer import SolutionDesigner
-from expo.utils import DATA_CONFIG
+from sela.insights.solution_designer import SolutionDesigner
+from sela.utils import DATA_CONFIG
 
 BASE_USER_REQUIREMENT = """
 This is a {datasetname} dataset. Your goal is to predict the target column `{target_col}`.

expo/README.md sela/README.mdexpo/README.md renamed to sela/README.md

@@ -7,14 +7,14 @@
 from datasets import load_dataset
 from PIL import Image
 
-from expo.data.dataset import (
+from sela.data.dataset import (
     ExpDataset,
     parse_args,
     process_dataset,
     save_datasets_dict_to_yaml,
 )
-from expo.insights.solution_designer import SolutionDesigner
-from expo.utils import DATA_CONFIG
+from sela.insights.solution_designer import SolutionDesigner
+from sela.utils import DATA_CONFIG
 
 HFDATSETS = [
     {"name": "sms_spam", "dataset_name": "ucirvine/sms_spam", "target_col": "label", "modality": "text"},