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New models

by abishathapamagar - opened May 13

base: refs/heads/main

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from: refs/pr/7

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+259886

-78059

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Files changed (50) hide show

.gitattributes +0 -7
.gitignore +2 -2
Astra Project Setup Instructions.md +1 -41
LICENSE +1 -1
app.py +117 -293
assests/__pycache__/metrics.cpython-312.pyc +0 -0
assests/__pycache__/recalibration.cpython-312.pyc +0 -0
assests/__pycache__/visualization.cpython-312.pyc +0 -0
fileHandler/ER-successful-strategies.csv +0 -0
fileHandler/ER-unsuccessful-strategies.csv +0 -0
fileHandler/ME-successful-strategies.csv +0 -0
fileHandler/ME-unsuccessful-strategies.csv +0 -0
fileHandler/result.txt +7 -7
fileHandler/roc_data.pkl +2 -2
fileHandler/roc_data2.pkl +2 -2
fileHandler/selected_rows.txt +0 -0
fileHandler/tlabels_plabels.pkl +2 -2
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullData/train_label.txt → fullTest/test_label.txt +0 -0
new_test_saved_finetuned_model.py +6 -63
ratio_proportion_change3_2223/sch_largest_100-coded/.DS_Store +0 -0
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/first10/test.txt +0 -339
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/first10/test_info.txt +0 -0
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/first10/test_label.txt +0 -339
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullData/train.txt +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullData/train_info.txt +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/test.txt +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/test_info.txt +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/test_label.txt +0 -0
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/highGRschool10/test.txt +0 -0
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/highGRschool10/test_info.txt +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/highGRschool10/test_label.txt +1571 -303
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/{overallTestData → lowGRschoolAll}/test_label.txt +0 -0
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/overallTestData/test.txt +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/overallTestData/test_info.txt +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/test.txt +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/test_info.txt +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/output/first10/bert_fine_tuned.model.first10%.wfaopttime.wttime.wttopttime.wttnoopttime.ep23 +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/output/first10/bert_fine_tuned.model.first10%.wskills.ep24 +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/output/first10/bert_fine_tuned.model.first10%.wskills.wfaopttime.wttime.wttopttime.wttnoopttime.ep40 +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/output/highGRschool10/bert_fine_tuned.model.ep42 +0 -3
ratio_proportion_change3_2223/sch_largest_100-coded/time_info/full_data_normalized_time.pkl +0 -3
src/__pycache__/attention.cpython-312.pyc +0 -0
src/__pycache__/bert.cpython-312.pyc +0 -0
src/__pycache__/classifier_model.cpython-312.pyc +0 -0
src/__pycache__/dataset.cpython-312.pyc +0 -0
src/__pycache__/embedding.cpython-312.pyc +0 -0
src/__pycache__/seq_model.cpython-312.pyc +0 -0
src/__pycache__/transformer.cpython-312.pyc +0 -0
src/__pycache__/transformer_component.cpython-312.pyc +0 -0
src/__pycache__/vocab.cpython-312.pyc +0 -0

.gitattributes CHANGED Viewed

@@ -50,10 +50,3 @@ ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/test.txt
 ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/highGRschool10_/test_info.txt filter=lfs diff=lfs merge=lfs -text
 ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/highGRschool10_/test.txt filter=lfs diff=lfs merge=lfs -text
 ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/test_BKT.txt filter=lfs diff=lfs merge=lfs -text
-ratio_proportion_change3_2223/sch_largest_100-coded/output/first10/bert_fine_tuned.model.first10%.wfaopttime.wttime.wttopttime.wttnoopttime.ep23 filter=lfs diff=lfs merge=lfs -text
-ratio_proportion_change3_2223/sch_largest_100-coded/output/first10/bert_fine_tuned.model.first10%.wskills.ep24 filter=lfs diff=lfs merge=lfs -text
-ratio_proportion_change3_2223/sch_largest_100-coded/output/first10/bert_fine_tuned.model.first10%.wskills.wfaopttime.wttime.wttopttime.wttnoopttime.ep40 filter=lfs diff=lfs merge=lfs -text
-ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/overallTestData/test_info.txt filter=lfs diff=lfs merge=lfs -text
-ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/overallTestData/test.txt filter=lfs diff=lfs merge=lfs -text
-ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullData/train_info.txt filter=lfs diff=lfs merge=lfs -text
-ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullData/train.txt filter=lfs diff=lfs merge=lfs -text

 ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/highGRschool10_/test_info.txt filter=lfs diff=lfs merge=lfs -text
 ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/highGRschool10_/test.txt filter=lfs diff=lfs merge=lfs -text
 ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullTest/test_BKT.txt filter=lfs diff=lfs merge=lfs -text

.gitignore CHANGED Viewed

@@ -1,5 +1,5 @@
 train_info.txt
 train.txt
 train_label.txt
-ratio_proportion_change3_2223/sch_largest_100-coded/

 train_info.txt
 train.txt
 train_label.txt
+ratio_proportion_change3_2223/sch_largest_100-coded/logs/
+ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/

Astra Project Setup Instructions.md CHANGED Viewed

@@ -112,45 +112,5 @@ python new_test_saved_finetuned_model.py \
     -b 1000
 ```
 Replace `<finetune_task>` with the actual fine-tuning task value.
-### Arguments
-**`-workspace_name`**
-- Description: The folder/workspace name where the project, dataset, and model outputs are organized.
-- Example: `"ratio_proportion_change3_2223/sch_largest_100-coded"`
-**`-finetune_task`**
-- Description: Specifies which fine-tuning strategy was applied to the model.
-- Options:
-  - **ASTRA-FT-HGR** → Fine-tuned with 10% data from schools that have a **High Graduation Rate (HGR)**.
-  - **ASTRA-FT-FIRST10-WSKILLS**
-    - Checkpoint: `first10/bert_fine_tuned.model.first10%.wskills.ep24`
-    - Description: Fine-tuned with 10% of initial problems from both **HGR + LGR schools**, with **Prior Skills encoded** using **Bayesian Knowledge Tracing (BKT)**.
-  - **ASTRA-FT-FIRST10-WTIME**
-    - Checkpoint: `first10/bert_fine_tuned.model.first10%.wfaopttime.wttime.wttopttime.wttnoopttime.ep23`
-    - Description: Fine-tuned with 10% of initial problems from both **HGR + LGR schools**, using **temporal features** measuring student engagement in MATHia.
-  - **ASTRA-FT-FIRST10-WSKILLS_WTIME**
-    - Checkpoint: `first10/bert_fine_tuned.model.first10%.wskills.wfaopttime.wttime.wttopttime.wttnoopttime.ep40`
-    - Description: Fine-tuned with 10% of initial problems from both **HGR + LGR schools**, combining **Prior Skills (BKT) + temporal features**.
-**`-test_dataset_path`**
-- Description: Path to the test dataset file that you want to use for evaluation.
-- Example: `"../../../../fileHandler/selected_rows.txt"`
-**`-finetuned_bert_classifier_checkpoint`**
-- Description: The path to the saved fine-tuned BERT model checkpoint (specific `.model.epXX` file).
-- Example:
-  `"ratio_proportion_change3_2223/sch_largest_100-coded/output/highGRschool10/bert_fine_tuned.model.ep42"`
-- Note: `ep42` means the checkpoint from **epoch 42** during training.
-**`-e`**
-- Description: Number of epochs to run during testing (or evaluation).
-- Example: `-e 1` → run evaluation once.
-**`-b`**
-- Description: Batch size for testing — determines how many test samples are processed together in each forward pass.
-- Example: `-b 1000` → each batch will contain **1000 examples**.
----
-✅ Your Astra project should now be fully set up and ready to use!

     -b 1000
 ```
 Replace `<finetune_task>` with the actual fine-tuning task value.
+Your Astra project should now be fully set up and ready to use!

LICENSE CHANGED Viewed

@@ -1,6 +1,6 @@
 MIT License
-Copyright (c) 2025 Astra
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

 MIT License
+Copyright (c) 2025 Sudarshan Balaji
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

app.py CHANGED Viewed

@@ -1,5 +1,5 @@
 import gradio as gr
-from huggingface_hub import hf_hub_download, HfApi
 import pickle
 from gradio import Progress
 import numpy as np
@@ -12,40 +12,9 @@ import plotly.graph_objects as go
 from sklearn.metrics import roc_auc_score
 from matplotlib.figure import Figure
 import csv
-import os
-from huggingface_hub import login
 # import os
 # Define the function to process the input file and model selection
-api = HfApi(token=os.getenv("HF_TOKEN"))
-DATASET_REPO = "suryadev1/generated-csvs"
-def delete_files():
-    repo_files = api.list_repo_files(repo_id=DATASET_REPO, repo_type="dataset")
-    #  delete all CSV files
-    for f in repo_files:
-        if f.endswith(".csv"):
-            try:
-                api.delete_file(
-                    path_in_repo=f,
-                    repo_id=DATASET_REPO,
-                    repo_type="dataset"
-                )
-                print(f"Deleted old file: {f}")
-            except Exception as e:
-                print(f"Could not delete {f}: {e}")
-# upload files to the dataset
-def upload_to_dataset(filepath):
-    api.upload_file(
-        path_or_fileobj=filepath,
-        path_in_repo=os.path.basename(filepath),
-        repo_id=DATASET_REPO,
-        repo_type="dataset"
-    )
 def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     # progress = gr.Progress(track_tqdm=True)
@@ -60,43 +29,25 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     # shutil.copyfile(label.name, saved_test_label)
     # shutil.copyfile(info.name, saved_train_info)
     parent_location="ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/"
-    test_info_location=parent_location+"overallTestData/test_info.txt"
-    test_location=parent_location+"overallTestData/test.txt"
-    label_location=parent_location+"overallTestData/test_label.txt"
-    # "ASTRA-FT-HGR-RANDOM10", "ASTRA-FT-FIRST10-WSKILLS", "ASTRA-FT-FIRST10-WTIME", "ASTRA-FT-FIRST10-WSKILLS_WTIME"
-    checkpoint = "ratio_proportion_change3_2223/sch_largest_100-coded/output/"
     if(model_name=="ASTRA-FT-HGR"):
         finetune_task="highGRschool10"
-        checkpoint += "highGRschool10/bert_fine_tuned.model.ep42"
-        model_task="ASTRA-FT-HGR-RANDOM10"
     elif(model_name== "ASTRA-FT-LGR" ):
         finetune_task="lowGRschoolAll"
-        model_task="ASTRA-FT-LGR"
     elif(model_name=="ASTRA-FT-FULL"):
         finetune_task="fullTest"
-        model_task="ASTRA-FT-FULL"
-    elif(model_name in ["ASTRA-FT-Skills", "ASTRA-FT-Temporal", "ASTRA-FT-Unified"]):
-        finetune_task="first10"
-        if model_name == "ASTRA-FT-Skills":
-            checkpoint += "first10/bert_fine_tuned.model.first10%.wskills.ep24"
-            model_task="ASTRA-FT-FIRST10-WSKILLS"
-        elif model_name == "ASTRA-FT-Temporal":
-            checkpoint += "first10/bert_fine_tuned.model.first10%.wfaopttime.wttime.wttopttime.wttnoopttime.ep23"
-            model_task="ASTRA-FT-FIRST10-WTIME"
-        elif model_name == "ASTRA-FT-Unified":
-            checkpoint += "first10/bert_fine_tuned.model.first10%.wskills.wfaopttime.wttime.wttopttime.wttnoopttime.ep40"
-            model_task="ASTRA-FT-FIRST10-WSKILLS_WTIME"
     else:
         finetune_task=None
     # Load the test_info file and the graduation rate file
     test_info = pd.read_csv(test_info_location, sep=',', header=None, engine='python')
-    def convert_etalon(x):
-        means_and_extremes = 1
-        if x.is_integer():
-            means_and_extremes = 0
-        return means_and_extremes
-    test_info[8] = test_info[7].apply(convert_etalon) # 7th column contains etalon of factor which decides the ER/ME problem type
     grad_rate_data = pd.DataFrame(pd.read_pickle('assests/school_grduation_rate.pkl'),columns=['school_number','grad_rate'])  # Load the grad_rate data
     # Step 1: Extract unique school numbers from test_info
@@ -106,15 +57,15 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     schools = grad_rate_data[grad_rate_data['school_number'].isin(unique_schools)]
     # Define a threshold for high and low graduation rates (adjust as needed)
-    grad_rate_threshold = 0.8 #0.9
     # Step 4: Divide schools into high and low graduation rate groups
     high_grad_schools = schools[schools['grad_rate'] >= grad_rate_threshold]['school_number'].unique()
     low_grad_schools = schools[schools['grad_rate'] < grad_rate_threshold]['school_number'].unique()
     # Step 5: Sample percentage of schools from each group
-    high_sample = pd.Series(high_grad_schools).sample(frac=inc_slider/100).tolist()
-    low_sample = pd.Series(low_grad_schools).sample(frac=inc_slider/100).tolist()
     # Step 6: Combine the sampled schools
     random_schools = high_sample + low_sample
@@ -129,14 +80,14 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     selected_rows_df2 = test.loc[indices]
     label=pd.read_csv(label_location, header=None, engine='python')
     test_label=label.loc[indices]
-    test_label.to_csv(parent_location+finetune_task+'/test_label.txt', sep='\t', index=False, header=False, quoting=3, escapechar=' ')
     # Save the selected rows to a file
     selected_rows_df2.to_csv('fileHandler/selected_rows.txt', sep='\t', index=False, header=False, quoting=3, escapechar=' ')
     # ✅ Get the first 20% and last 20% of instances for each student ID within selected schools
     selected_test_info = test_info.loc[indices]
-    selected_test_info.to_csv(parent_location+finetune_task+'/test_info.txt', sep=',', index=False, header=False, quoting=3, escapechar=' ')
-    selected_rows_df2.to_csv(parent_location+finetune_task+'/test.txt', sep='\t', index=False, header=False, quoting=3, escapechar=' ')
     # # First 20%
     # first_20_percent_indices = selected_test_info.groupby(3).apply(
     #     lambda x: x.head(int(len(x) * 0.2))
@@ -162,19 +113,17 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     'high' if idx in high_indices else 'low' for idx in selected_rows_df2.index
     ]
     # Group data by opt_task1 and opt_task2 based on test_info[6]
-    opt_task_groups = ['opt_task1' if test_info.loc[idx, 8] == 0 else 'opt_task2' for idx in selected_rows_df2.index]
     progress(0.2, desc="Running fine-tuned models...")
     print("finetuned task: ",finetune_task)
     subprocess.run([
         "python", "new_test_saved_finetuned_model.py",
         "-workspace_name", "ratio_proportion_change3_2223/sch_largest_100-coded",
-        "-model_name", model_task,
         "-finetune_task", finetune_task,
         "-test_dataset_path","../../../../fileHandler/selected_rows.txt",
         # "-test_label_path","../../../../train_label.txt",
-        "-finetuned_bert_classifier_checkpoint", checkpoint,
-        "-s",str(128),
         "-e",str(1),
         "-b",str(1000)
     ])
@@ -183,8 +132,6 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     # Load tlb and plb
     with open("fileHandler/tlabels_plabels.pkl", "rb") as f:
         tlb, plb = pickle.load(f)
-        print("t==p = 0: ", sum([t==p for t,p in zip(tlb, plb) if t==0]))
-        print("t==p = 1: ", sum([t==p for t,p in zip(tlb, plb) if t==1]))
     # Define function to filter and write CSV
     def process_and_write_csv(filtered_data, filename):
@@ -205,105 +152,45 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
             row_num = 1
             for _, row in filtered_data.iterrows():
-                # school, class_id, student_id, status, problem, _, time_zone, duration, attempts = row[:9]
-                # sch_NPHBD11809,17,stu_CRJBA61379,GRADUATED,ratio_proportion_change3-134,[strategygame],1,4.0,4.0,10,
-                # PercentChange-Attempt-1-0-OK-1667479255281	NumeratorQuantity1-Attempt-1-0-JIT-1667479268893	NumeratorQuantity1-Attempt-2-0-ERROR-1667479284199	NumeratorQuantity1-Attempt-3-0-OK-1667479294890	DenominatorQuantity1-Attempt-1-0-OK-1667479298749	NumeratorQuantity2-Attempt-1-0-OK-1667479301999	OptionalTask_1-Attempt-1-0-OK-1667479304886	DenominatorFactor-Attempt-1-0-OK-1667479314566	NumeratorFactor-Attempt-1-0-OK-1667479315579	EquationAnswer-Attempt-1-0-OK-1667479323750	FinalAnswerDirection-Attempt-1-0-OK-1667479333439	FinalAnswer-Attempt-1-0-OK-1667479338185,
-                # 1,
-                # 0	0.999767840033168	0	0	0.999996274310286	0	0.321529253998353	0.999722748307354	0.999840947031115,
-                # 0	-0.0002057730279919623	0	0	-3.302306839980673e-06	0	-0.41429892410820995	-0.00022392554103201068	-0.00012846367037400164,
-                # 0	0.999767840033168	0	0	0	0	0	0	0,
-                # 1667479255281	1667479294890	1667479298749	1667479301999	1667479304886	1667479314566	1667479315579	1667479323750	1667479333439	1667479338185,
-                # 0	39609	3859	3250	2887	9680	1013	8171	9689	4746,
-                # 2887	9680	1013	8171,0	39609	3859	3250	9689	4746,
-                # 14435,
-                # 82904
-                school, prob_solved, student_id, status, problem, prob_type, opt_type, _, _ = row[:9]
-                steps_data = row[10]
-                # if row_num == 1:
-                #     print(row)
                 for step in steps_data.split('\t'):
                     step_parts = step.split('-')
                     step_name = step_parts[0]
-                    action = step_parts[1]
-                    attempt = step_parts[2]
-                    help_level = step_parts[3]
-                    outcome = step_parts[4]
-                    curr_time = step_parts[5]
                     row_data = [
-                        row_num, "", "", student_id, "", curr_time, "", "", "", "", "",
-                        "ratio_proportion_change3", problem, "", "", step_name, attempt, "", outcome, "", action, "",
-                        "", "", help_level, "", "", "", "", "", "", "",
-                        school, "", "", "", "", "", status, ""
                     ]
                     writer.writerow(row_data)
                     row_num += 1
         print(f"CSV file '{filename}' created successfully.")
-        full_path = os.path.join("fileHandler", filename)
-        try:
-            upload_to_dataset(full_path)
-        except Exception as e:
-            print(f"Failed: Timeout or error occurred - {e}")
-    task_type_map = {0: "ER", 1: "ME"}
-    label_map = {0: "unsuccessful", 1: "successful"}
-    # -------------------------------
-    # 1. Where tlb == plb
-    # -------------------------------
-    # delete_files()
-    for label in [0, 1]:
-        # All strategies
-        matching_indices = [i for i in range(len(tlb)) if tlb[i] == plb[i] == label]
-        filtered_data = selected_test_info.iloc[matching_indices]
-        filename = f"allstrategies-match-{label_map[label]}.csv"
-        process_and_write_csv(filtered_data, filename)
-        # Per task type
-        for task_type in [0, 1]:
-            task_data = filtered_data[filtered_data[8] == task_type]
-            filename = f"{task_type_map[task_type]}-match-{label_map[label]}.csv"
-            process_and_write_csv(task_data, filename)
-    # -------------------------------
-    # 2. Where tlb only
-    # -------------------------------
-    for label in [0, 1]:
-        # All strategies
-        matching_indices = [i for i in range(len(tlb)) if tlb[i] == label]
-        filtered_data = selected_test_info.iloc[matching_indices]
-        filename = f"allstrategies-groundtruth-{label_map[label]}.csv"
-        process_and_write_csv(filtered_data, filename)
-        # Per task type
-        for task_type in [0, 1]:
-            task_data = filtered_data[filtered_data[8] == task_type]
-            filename = f"{task_type_map[task_type]}-groundtruth-{label_map[label]}.csv"
-            process_and_write_csv(task_data, filename)
-    # -------------------------------
-    # 3. All data by task type (no label filtering)
-    # -------------------------------
-    # ER
-    task_data = selected_test_info[selected_test_info[8] == 0]
-    filename = f"ER-all.csv"
-    process_and_write_csv(task_data, filename)
-    # ME
-    task_data = selected_test_info[selected_test_info[8] == 1]
-    filename = f"ME-all.csv"
-    process_and_write_csv(task_data, filename)
-    # All strategies
-    filename = "allstrategies-all.csv"
-    process_and_write_csv(selected_test_info, filename)
     with open("fileHandler/roc_data2.pkl", 'rb') as file:
         data = pickle.load(file)
     t_label=data[0]
@@ -404,11 +291,12 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
         data = file.readlines()
     selected_data = [data[i] for i in indices if i < len(data)]
     # Assuming test_info[7] is a list with ideal tasks for each instance
-    ideal_tasks = test_info[8]  # A list where each element is either 1 or 2
     # Initialize counters
     task_counts = {
-    1: {"ER": 0, "ME": 0, "both": 0},
-    2: {"ER": 0, "ME": 0, "both": 0}
     }
       # To store task completion counts per row
     # Analyze rows
@@ -456,7 +344,7 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
             elif opt1_done and opt2_done:
                 task_counts[1]["both"] += 1
             else:
-                print(i)
         elif ideal_task == 1:
             if opt1_done and not opt2_done:
                 task_counts[2]["ER"] += 1
@@ -465,7 +353,7 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
             elif opt1_done and opt2_done:
                 task_counts[2]["both"] += 1
             else:
-                print(i)
     # Print a summary of task completions
     # for summary in row_summary:
     #     print(f"\nRow {summary['row_index']}:")
@@ -609,8 +497,7 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
         textinfo='percent+label',
         textposition='auto',
         marker=dict(colors=colors),
-        sort=False,
-        hole=0.4
     )])
@@ -648,8 +535,7 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
         textinfo='percent+label',
         textposition='auto',
         marker=dict(colors=colors),
-        sort=False,
-        hole=0.4
         # pull=[0, 0.2, 0, 0] # for pulling part of pie chart out (depends on position)
     )])
@@ -778,7 +664,8 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     ---------------------------
     Model: {model_name}
     ---------------------------\n
-    Number of schools sampled: {len(random_schools)} / {len(unique_schools)}
     Total number of instances from HGR schools : {len(high_indices)}
     Total number of instances from LGR schools: {len(low_indices)}
@@ -850,19 +737,18 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     # return text_output,text_output_sampled_auc,fig,fig_task1,fig_task2,fig_hist1,fig_hist2
-    return text_output,fig,fig_task1,fig_task2,gr.update(visible=True)
 # List of models for the dropdown menu
 # models = ["ASTRA-FT-HGR", "ASTRA-FT-LGR", "ASTRA-FT-FULL"]
-# models = ["ASTRA-FT-HGR", "ASTRA-FT-FULL"]
-models = ["ASTRA-FT-HGR", "ASTRA-FT-Skills", "ASTRA-FT-Temporal", "ASTRA-FT-Unified"]
 content = """
 <h1 style="color: black;">A S T R A</h1>
 <h2 style="color: black;">An AI Model for Analyzing Math Strategies</h2>
 <h3 style="color: white; text-align: center">
-    <a href="https://sites.google.com/view/astra-research" style="color: gr.themes.colors.red; text-decoration: none;">Publications & Software</a> |
     <a href="https://drive.google.com/file/d/1wussSAYV5WfRSgYNEDgxWNqMUNoiu65u/view" style="color: #1E90FF; text-decoration: none;">User Guide</a>
@@ -871,8 +757,7 @@ content = """
 <p style="color: white;">Welcome to a demo of ASTRA. ASTRA is a collaborative research project between researchers at the
 <a href="https://sites.google.com/site/dvngopal/" style="color: #1E90FF; text-decoration: none;">University of Memphis</a> and
 <a href="https://www.carnegielearning.com" style="color: #1E90FF; text-decoration: none;">Carnegie Learning</a>
-to utilize AI to improve our understanding of math learning strategies.
-This code is licensed under the MIT license: see LICENSE for details. If you use this in a published work, please cite the related papers.</p>
 <p style="color: white;">This demo has been developed with a pre-trained model (based on an architecture similar to BERT ) that learns math strategies using data
 collected from hundreds of schools in the U.S. who have used Carnegie Learning’s MATHia (formerly known as Cognitive Tutor), the flagship Intelligent Tutor that is part of a core, blended math curriculum.
@@ -888,37 +773,26 @@ When the equivalent ratios are easy to compute (integral values), ER is much mor
 <p style="color: white;">To use the demo, please follow these steps:</p>
 <ol style="color: white;">
-<li style="color: white;">Select a percentage of schools to analyze (selecting a large percentage may take a long time). Note that the selected percentage is applied to both High Graduation Rate (HGR) schools and Low Graduation Rate (LGR schools).
-</li>
-    <li style="color: white;">Select a fine-tuned model:</li>
         <ul style="color: white;">
-            <li style="color: white;">ASTRA-FT-HGR: Fine-tuned with 10 % data from schools that have a high graduation rate.</li>
-            <li style="color: white;">ASTRA-FT-Skills: Fine-tuned with 10% of initial problems from both HGR and LGR schools + Prior Skills encoded using Bayesian Knowledge Tracing</li>
-            <li style="color: white;">ASTRA-FT-Temporal: Fine-tuned with 10% of initial problems from both HGR and LGR schools + temporal features measuring student engagement with MATHia</li>
-            <li style="color: white;">ASTRA-FT-Unified: Fine-tuned with 10% of initial problems from both HGR and LGR schools + Prior Skills + temporal features</li>
         </ul>
- <li style="color: white;">
-  The results from the fine-tuned model are displayed in the dashboard:
-  <ul>
-    <li style="color: white;">The model accuracy is computed using the ROC-AUC metric.</li>
-    <li style="color: white;">The results are shown for HGR, LGR schools and for different problem types (ER/ME).</li>
-    <li style="color: white;">The distribution over how students utilized the optional tasks (whether they utilized ER/ME, used both of them or none of them) is shown for each problem type.</li>
-  </ul>
 </li>
-<li style="color: white;">
-  Generate strategies from the AI model and visualize the strategies .csv files using the path analysis web-app.
-  Refer to the
-  <a href="https://drive.google.com/file/d/1wussSAYV5WfRSgYNEDgxWNqMUNoiu65u/view"
-     style="color: #1E90FF; text-decoration: none;">
-     user guide
-  </a>
-  for more details on how to interpret the strategy visualization.
 </li>
 </ol>
 """
@@ -1222,90 +1096,43 @@ button, select, .slider-percentage {
     color: #1e293b !important;
     margin-bottom: 1rem !important;
     text-align: center !important;
-#file-box {
-        border: 1px solid #ccc;
-        border-radius: 6px;
-        padding: 10px;
-        margin-top: 12px;
-        background-color: #f9f9f9;
-    }
-.file-download {
-        margin-bottom: 5px !important;
-        padding: 4px !important;
-        height: 10px;
-    }
 }
 '''
 # Define the file directory
 FILE_DIR = "fileHandler"
 # Function to get list of files
 def list_files():
-    return ['Unsuccessful Strategies (ER)', 'Successful Strategies (ER)', 'Unsuccessful Strategies (ME)', 'Successful Strategies (ME)','Ground Truth Unsuccessful Strategies (ER)','Ground Truth Successful Strategies (ER)','Ground Truth Unsuccessful Strategies (ME)','Ground Truth Successful Strategies (ME)']
 label_to_filename = {
-    # Predicted (tlb == plb)
-    'Predicted Successful Strategies (ER)': 'ER-match-successful.csv',
-    'Predicted Unsuccessful Strategies (ER)': 'ER-match-unsuccessful.csv',
-    'Predicted Successful Strategies (ME)': 'ME-match-successful.csv',
-    'Predicted Unsuccessful Strategies (ME)': 'ME-match-unsuccessful.csv',
-    'Predicted Successful Strategies (All)': 'allstrategies-match-successful.csv',
-    'Predicted Unsuccessful Strategies (All)': 'allstrategies-match-unsuccessful.csv',
-    # Ground Truth (tlb only)
-    'Ground Truth Successful Strategies (ER)': 'ER-groundtruth-successful.csv',
-    'Ground Truth Unsuccessful Strategies (ER)': 'ER-groundtruth-unsuccessful.csv',
-    'Ground Truth Successful Strategies (ME)': 'ME-groundtruth-successful.csv',
-    'Ground Truth Unsuccessful Strategies (ME)': 'ME-groundtruth-unsuccessful.csv',
-    'Ground Truth Successful Strategies (All)': 'allstrategies-groundtruth-successful.csv',
-    'Ground Truth Unsuccessful Strategies (All)': 'allstrategies-groundtruth-unsuccessful.csv',
-    # All data
-    'All Strategies (ER)': 'ER-all.csv',
-    'All Strategies (ME)': 'ME-all.csv',
-    'All Strategies (All)': 'allstrategies-all.csv'
 }
 # Function to provide the selected file path
-def provide_file_paths(task_type, source):
-    if not task_type or not source:
-        return None, None, gr.update(visible=False)
-    # Handle "All" case for combined strategies
-    if source == "All":
-        label_success = f"All Strategies ({task_type})"
-        label_unsuccess = f"All Strategies ({task_type})"
-    else:
-        label_success = f"{source} Successful Strategies ({task_type})"
-        label_unsuccess = f"{source} Unsuccessful Strategies ({task_type})"
-        label_all=f"All Strategies ({task_type})"
-    file_success = label_to_filename.get(label_success)
-    file_unsuccess = label_to_filename.get(label_unsuccess)
-    file_all=label_to_filename.get(label_all)
-    file_success_path = f"{FILE_DIR}/{file_success}" if file_success else None
-    file_unsuccess_path = f"{FILE_DIR}/{file_unsuccess}" if file_unsuccess else None
-    file_all_path = f"{FILE_DIR}/{file_all}" if file_all else None
-    dynamic_text = "🔍 [Visualize the strategies](https://path-analysis.vercel.app/)"
-    if file_success and file_unsuccess and file_all:
-        return file_success_path, file_unsuccess_path,file_all_path, gr.update(value=dynamic_text, visible=True)
-    return None, None,None, gr.update(visible=False)
 with gr.Blocks(theme='gstaff/sketch', css=custom_css) as demo:
     gr.Markdown(content)
     with gr.Row():
         model_dropdown = gr.Dropdown(
             choices=models,
             label="Select Fine-tuned Model",
@@ -1335,35 +1162,32 @@ with gr.Blocks(theme='gstaff/sketch', css=custom_css) as demo:
     with gr.Row():
         opt1_pie = gr.Plot(label="ER")
         opt2_pie = gr.Plot(label="ME")
     with gr.Row():
-        with gr.Column():
-            redirect_button = gr.Button("Click to Visualize Strategies", visible=False)
-    redirect_button.click(
-        None,
-        inputs=[],
-        outputs=[],
-         js="""() => {
-            window.open("https://path-analysis.vercel.app", "_blank");
-            return "ok";  // must return something
-        }"""
     )
     btn.click(
-        fn=lambda model, increment: (
-            *process_file(model, increment),  # Unpack all outputs from process_file
-            gr.update(value=None),     # update outcome_radio
-            gr.update(value=None), # Reset dropdown to first item
-            None,
-            None,
-            None,                                                           # Clear file output
-            gr.update(visible=False)           # Hide visualize markdown
-        ),
-        inputs=[model_dropdown, increment_slider],
-        outputs=[output_text, plot_output, opt1_pie, opt2_pie,redirect_button]
     )

 import gradio as gr
+from huggingface_hub import hf_hub_download
 import pickle
 from gradio import Progress
 import numpy as np
 from sklearn.metrics import roc_auc_score
 from matplotlib.figure import Figure
 import csv
 # import os
 # Define the function to process the input file and model selection
 def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     # progress = gr.Progress(track_tqdm=True)
     # shutil.copyfile(label.name, saved_test_label)
     # shutil.copyfile(info.name, saved_train_info)
     parent_location="ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/"
+    test_info_location=parent_location+"fullTest/test_info.txt"
+    test_location=parent_location+"fullTest/test.txt"
+    label_location=parent_location+"test_label.txt"
     if(model_name=="ASTRA-FT-HGR"):
         finetune_task="highGRschool10"
+        # test_info_location=parent_location+"fullTest/test_info.txt"
+        # test_location=parent_location+"fullTest/test.txt"
     elif(model_name== "ASTRA-FT-LGR" ):
         finetune_task="lowGRschoolAll"
+        # test_info_location=parent_location+"lowGRschoolAll/test_info.txt"
+        # test_location=parent_location+"lowGRschoolAll/test.txt"
     elif(model_name=="ASTRA-FT-FULL"):
+        # test_info_location=parent_location+"fullTest/test_info.txt"
+        # test_location=parent_location+"fullTest/test.txt"
         finetune_task="fullTest"
     else:
         finetune_task=None
     # Load the test_info file and the graduation rate file
     test_info = pd.read_csv(test_info_location, sep=',', header=None, engine='python')
     grad_rate_data = pd.DataFrame(pd.read_pickle('assests/school_grduation_rate.pkl'),columns=['school_number','grad_rate'])  # Load the grad_rate data
     # Step 1: Extract unique school numbers from test_info
     schools = grad_rate_data[grad_rate_data['school_number'].isin(unique_schools)]
     # Define a threshold for high and low graduation rates (adjust as needed)
+    grad_rate_threshold = 0.9
     # Step 4: Divide schools into high and low graduation rate groups
     high_grad_schools = schools[schools['grad_rate'] >= grad_rate_threshold]['school_number'].unique()
     low_grad_schools = schools[schools['grad_rate'] < grad_rate_threshold]['school_number'].unique()
     # Step 5: Sample percentage of schools from each group
+    high_sample = pd.Series(high_grad_schools).sample(frac=inc_slider/100, random_state=1).tolist()
+    low_sample = pd.Series(low_grad_schools).sample(frac=inc_slider/100, random_state=1).tolist()
     # Step 6: Combine the sampled schools
     random_schools = high_sample + low_sample
     selected_rows_df2 = test.loc[indices]
     label=pd.read_csv(label_location, header=None, engine='python')
     test_label=label.loc[indices]
+    test_label.to_csv(parent_location+'highGRschool10/test_label.txt', sep='\t', index=False, header=False, quoting=3, escapechar=' ')
     # Save the selected rows to a file
     selected_rows_df2.to_csv('fileHandler/selected_rows.txt', sep='\t', index=False, header=False, quoting=3, escapechar=' ')
     # ✅ Get the first 20% and last 20% of instances for each student ID within selected schools
     selected_test_info = test_info.loc[indices]
     # # First 20%
     # first_20_percent_indices = selected_test_info.groupby(3).apply(
     #     lambda x: x.head(int(len(x) * 0.2))
     'high' if idx in high_indices else 'low' for idx in selected_rows_df2.index
     ]
     # Group data by opt_task1 and opt_task2 based on test_info[6]
+    opt_task_groups = ['opt_task1' if test_info.loc[idx, 6] == 0 else 'opt_task2' for idx in selected_rows_df2.index]
     progress(0.2, desc="Running fine-tuned models...")
     print("finetuned task: ",finetune_task)
     subprocess.run([
         "python", "new_test_saved_finetuned_model.py",
         "-workspace_name", "ratio_proportion_change3_2223/sch_largest_100-coded",
         "-finetune_task", finetune_task,
         "-test_dataset_path","../../../../fileHandler/selected_rows.txt",
         # "-test_label_path","../../../../train_label.txt",
+        "-finetuned_bert_classifier_checkpoint",
+        "ratio_proportion_change3_2223/sch_largest_100-coded/output/highGRschool10/bert_fine_tuned.model.ep42",
         "-e",str(1),
         "-b",str(1000)
     ])
     # Load tlb and plb
     with open("fileHandler/tlabels_plabels.pkl", "rb") as f:
         tlb, plb = pickle.load(f)
     # Define function to filter and write CSV
     def process_and_write_csv(filtered_data, filename):
             row_num = 1
             for _, row in filtered_data.iterrows():
+                school, class_id, student_id, status, problem, _, time_zone, duration, attempts = row[:9]
+                steps_data = row[8]
                 for step in steps_data.split('\t'):
                     step_parts = step.split('-')
                     step_name = step_parts[0]
+                    action = step_parts[1] if len(step_parts) > 1 else ""
+                    attempt = step_parts[2] if len(step_parts) > 2 else ""
+                    outcome = step_parts[-1] if len(step_parts) > 3 else ""
                     row_data = [
+                        row_num, "", "", student_id, "", time_zone, duration, "", "", "", "",
+                        problem, problem, "", "", step_name, attempt, "", outcome, "", action, "", "", "", "", "", "", "", "", "", "","",
+                        school, class_id, "", "", "", "", "PROMOTED"
                     ]
                     writer.writerow(row_data)
                     row_num += 1
         print(f"CSV file '{filename}' created successfully.")
+    # Find indices where conditions match
+    for task_type in [0, 1]:  # test_info[6] = 1 or 2
+        for label in [0, 1]:  # tlb = plb = 0 or 1
+            matching_indices = [i for i in range(len(tlb)) if tlb[i] == plb[i] == label]
+            # Filter the data
+            filtered_data = selected_test_info.iloc[matching_indices]
+            filtered_data = filtered_data[filtered_data[6] == task_type]  # Ensure test_info[6] matches
+            # Define filename dynamically
+            task_type_map = {0: "ER", 1: "ME"}
+            label_map = {0: "unsuccessful", 1: "successful"}
+            filename = f"{task_type_map[task_type]}-{label_map[label]}-strategies.csv"
+            # Write to CSV
+            process_and_write_csv(filtered_data, filename)
     with open("fileHandler/roc_data2.pkl", 'rb') as file:
         data = pickle.load(file)
     t_label=data[0]
         data = file.readlines()
     selected_data = [data[i] for i in indices if i < len(data)]
     # Assuming test_info[7] is a list with ideal tasks for each instance
+    ideal_tasks = test_info[6]  # A list where each element is either 1 or 2
     # Initialize counters
     task_counts = {
+    1: {"ER": 0, "ME": 0, "both": 0,"none":0},
+    2: {"ER": 0, "ME": 0, "both": 0,"none":0}
     }
       # To store task completion counts per row
     # Analyze rows
             elif opt1_done and opt2_done:
                 task_counts[1]["both"] += 1
             else:
+                task_counts[1]["none"] +=1
         elif ideal_task == 1:
             if opt1_done and not opt2_done:
                 task_counts[2]["ER"] += 1
             elif opt1_done and opt2_done:
                 task_counts[2]["both"] += 1
             else:
+                task_counts[2]["none"] +=1
     # Print a summary of task completions
     # for summary in row_summary:
     #     print(f"\nRow {summary['row_index']}:")
         textinfo='percent+label',
         textposition='auto',
         marker=dict(colors=colors),
+        sort=False
     )])
         textinfo='percent+label',
         textposition='auto',
         marker=dict(colors=colors),
+        sort=False
         # pull=[0, 0.2, 0, 0] # for pulling part of pie chart out (depends on position)
     )])
     ---------------------------
     Model: {model_name}
     ---------------------------\n
+    Time Taken: {result['time_taken_from_start']:.2f} seconds
+    Number of schools sampled: {len(unique_schools)}
     Total number of instances from HGR schools : {len(high_indices)}
     Total number of instances from LGR schools: {len(low_indices)}
     # return text_output,text_output_sampled_auc,fig,fig_task1,fig_task2,fig_hist1,fig_hist2
+    return text_output,fig,fig_task1,fig_task2
 # List of models for the dropdown menu
 # models = ["ASTRA-FT-HGR", "ASTRA-FT-LGR", "ASTRA-FT-FULL"]
+models = ["ASTRA-FT-HGR", "ASTRA-FT-FULL"]
 content = """
 <h1 style="color: black;">A S T R A</h1>
 <h2 style="color: black;">An AI Model for Analyzing Math Strategies</h2>
 <h3 style="color: white; text-align: center">
+    <a href="https://drive.google.com/file/d/1lbEpg8Se1ugTtkjreD8eXIg7qrplhWan/view" style="color: gr.themes.colors.red; text-decoration: none;">Link To Paper</a> |
+    <a href="https://github.com/Syudu41/ASTRA---Gates-Project" style="color: #1E90FF; text-decoration: none;">GitHub</a> |
     <a href="https://drive.google.com/file/d/1wussSAYV5WfRSgYNEDgxWNqMUNoiu65u/view" style="color: #1E90FF; text-decoration: none;">User Guide</a>
 <p style="color: white;">Welcome to a demo of ASTRA. ASTRA is a collaborative research project between researchers at the
 <a href="https://sites.google.com/site/dvngopal/" style="color: #1E90FF; text-decoration: none;">University of Memphis</a> and
 <a href="https://www.carnegielearning.com" style="color: #1E90FF; text-decoration: none;">Carnegie Learning</a>
+to utilize AI to improve our understanding of math learning strategies.</p>
 <p style="color: white;">This demo has been developed with a pre-trained model (based on an architecture similar to BERT ) that learns math strategies using data
 collected from hundreds of schools in the U.S. who have used Carnegie Learning’s MATHia (formerly known as Cognitive Tutor), the flagship Intelligent Tutor that is part of a core, blended math curriculum.
 <p style="color: white;">To use the demo, please follow these steps:</p>
 <ol style="color: white;">
+    <li style="color: white;">Select a fine-tuned model:
         <ul style="color: white;">
+            <li style="color: white;">ASTRA-FT-HGR: Fine-tuned with a small sample of data from schools that have a high graduation rate.</li>
+            <li style="color: white;">ASTRA-FT-Full: Fine-tuned with a small sample of data from a mix of schools that have high/low graduation rates.</li>
         </ul>
+    </li>
+    <li style="color: white;">Select a percentage of schools to analyze (selecting a large percentage may take a long time). Note that the selected percentage is applied to both High Graduation Rate (HGR) schools and Low Graduation Rate (LGR schools).
 </li>
+    <li style="color: white;">The results from the fine-tuned model are displayed in the dashboard:
+        <ul>
+            <li style="color: white;">The model accuracy is computed using the ROC-AUC metric.
 </li>
+            <li style="color: white;">The results are shown for HGR, LGR schools and  for different problem types (ER/ME).
+</li>
+<li style="color: white;">The distribution over how students utilized the optional tasks (whether they utilized ER/ME, used both of them or none of them) is shown for each problem type.
+</li>
+        </ul>
+    </li>
+        <li style="color: white;">Generate strategies from the AI model and visualize the strategies .csv files using the path analysis web-app.
+        Refer to the <a href="https://drive.google.com/file/d/1wussSAYV5WfRSgYNEDgxWNqMUNoiu65u/view" style="color: #1E90FF; text-decoration: none;">user guide </a> for more details on how to interpret the strategy visualization.
 </ol>
 """
     color: #1e293b !important;
     margin-bottom: 1rem !important;
     text-align: center !important;
 }
 '''
 # Define the file directory
 FILE_DIR = "fileHandler"
 # Function to get list of files
 def list_files():
+    return ['Unsuccessful Strategies (ER)', 'Successful Strategies (ER)', 'Unsuccessful Strategies (ME)', 'Successful Strategies (ME)']
+    # return ['output_task0_label0.csv', 'output_task0_label1.csv', 'output_task1_label0.csv', 'output_task1_label1.csv']
+    # return [f for f in os.listdir(FILE_DIR) if os.path.isfile(os.path.join(FILE_DIR, f))]
 label_to_filename = {
+    'Unsuccessful Strategies (ER)': 'ER-unsuccessful-strategies.csv',
+    'Successful Strategies (ER)': 'ER-successful-strategies.csv',
+    'Unsuccessful Strategies (ME)': 'ME-unsuccessful-strategies.csv',
+    'Successful Strategies (ME)': 'ME-successful-strategies.csv'
 }
 # Function to provide the selected file path
+def provide_file_path(label_name):
+    file_name = label_to_filename.get(label_name, None)
+    if file_name:
+        file_path = f"{FILE_DIR}/{file_name}"
+        dynamic_text = "🔍 [Visualize the strategies](https://path-analysis.vercel.app/)"
+        return file_path, gr.update(value=dynamic_text, visible=True)
+    return None, gr.update(visible=False)
 with gr.Blocks(theme='gstaff/sketch', css=custom_css) as demo:
+    # gr.Markdown("<h1 id='title'>ASTRA</h1>", elem_id="title")
     gr.Markdown(content)
     with gr.Row():
+        # file_input = gr.File(label="Upload a test file", file_types=['.txt'], elem_classes="file-box")
+        # label_input = gr.File(label="Upload test labels", file_types=['.txt'], elem_classes="file-box")
+        # info_input = gr.File(label="Upload test info", file_types=['.txt'], elem_classes="file-box")
         model_dropdown = gr.Dropdown(
             choices=models,
             label="Select Fine-tuned Model",
     with gr.Row():
         opt1_pie = gr.Plot(label="ER")
         opt2_pie = gr.Plot(label="ME")
+        # output_summary = gr.Textbox(label="Summary")
+    # with gr.Row():
+    #     histo1 = gr.Plot(label="Hist")
+    #     histo2 = gr.Plot(label="Hist")
+    # with gr.Row():
+    #     output_text_sampled_auc = gr.Textbox(label="")
+    with gr.Row():
+        file_dropdown = gr.Dropdown(choices=list_files(), label="Select a strategy from the dropdown")
+        download_button = gr.Button("Generate Strategies")
     with gr.Row():
+        file_output = gr.File(label="Download File")
+        visualize_markdown = gr.Markdown(visible=False)
+    download_button.click(
+        fn=provide_file_path,
+        inputs=[file_dropdown],
+        outputs=[file_output, visualize_markdown]
     )
     btn.click(
+        fn=process_file,
+        inputs=[model_dropdown,increment_slider],
+        outputs=[output_text,plot_output,opt1_pie,opt2_pie]
     )

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fileHandler/ER-successful-strategies.csv CHANGED Viewed

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fileHandler/result.txt CHANGED Viewed

@@ -1,7 +1,7 @@
-avg_loss: 0.5818096399307251
-total_acc: 70.54714784633295
-precisions: 0.7205217318929581
-recalls: 0.7054714784633295
-f1_scores: 0.6956596700972714
-time_taken_from_start: 3.645707130432129
-auc_score: 0.7422687845544381

+avg_loss: 0.5839772423108419
+total_acc: 69.6584058941728
+precisions: 0.7224570437809088
+recalls: 0.696584058941728
+f1_scores: 0.6872024231270459
+time_taken_from_start: 4.869930028915405
+auc_score: 0.7470103507185207

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@@ -1,3 +1,3 @@
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-size 15989

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+oid sha256:2550042df149bd1483f0ddb2f0af449d7b679115a6f2bcc7c2af6600c20bfead
+size 27485

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@@ -1,3 +1,3 @@
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-size 48215

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+size 83732

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+size 113592

ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullData/train_label.txt → fullTest/test_label.txt RENAMED Viewed

The diff for this file is too large to render. See raw diff

new_test_saved_finetuned_model.py CHANGED Viewed

@@ -6,7 +6,7 @@ from torch.optim import Adam
 from torch.utils.data import DataLoader
 import pickle
 print("here1",os.getcwd())
-from src.dataset import TokenizerDataset, TokenizerwSkillsDataset, TokenizerwTimeDataset, TokenizerwSkillsTimeDataset
 from src.vocab import Vocab
 print("here3",os.getcwd())
 from src.bert import BERT
@@ -19,7 +19,6 @@ import tqdm
 import sys
 import time
 import numpy as np
-from sklearn.preprocessing import QuantileTransformer
 from sklearn.metrics import precision_score, recall_score, f1_score, confusion_matrix, roc_curve, roc_auc_score
 import matplotlib.pyplot as plt
@@ -467,59 +466,12 @@ class BERTFineTuneCalibratedTrainer:
             sys.stdout = sys.__stdout__
         sys.stdout = sys.__stdout__
-def prepare_normalized_time_df():
-    faopt_time = []
-    total_time = []
-    nonopt_time = []
-    opt_time = []
-    school = []
-    student = []
-    progress = []
-    prob_id = []
-    with open("ratio_proportion_change3_2223/sch_largest_100-coded/finetuning/fullData/train_info.txt", "r") as f:
-        for line in f:
-            line = line.strip()
-            if line:
-                line = line.split(",")
-                sch = line[0]
-                school.append(sch)
-                stu = line[2]
-                student.append(stu)
-                status = line[3]
-                progress.append(status)
-                pid = line[4]
-                prob_id.append(pid)
-                total = float(line[-1])#/60000
-                faopt = float(line[-2])#/60000
-                nonopt = sum([float(i) for i in line[-3].split("\t")])
-                opt = sum([float(i) for i in line[-4].split("\t")])
-                faopt_time.append(faopt)
-                total_time.append(total)
-                nonopt_time.append(nonopt)
-                opt_time.append(opt)
-    df = pd.DataFrame({"school": school, "student": student, "progress": progress, "prob_id": prob_id,
-                    "faopt_time": faopt_time, "total_time": total_time,
-                    "nonopt_time": nonopt_time, "opt_time": opt_time})
-    for col in df.columns:
-        print(col, col.endswith('time'))
-        if col.endswith('time'): #col == "faopt_time" or col =="total_time":
-            num_df = df[col]
-            col_values = num_df.values.reshape(-1, 1)
-            nt = QuantileTransformer(output_distribution='normal')
-            col_values_norm = nt.fit_transform(col_values)
-            df[col] = col_values_norm
-            print(df[col].describe())
-    df.set_index(["school", "student", "progress", "prob_id"], inplace=True)
-    df.to_pickle("ratio_proportion_change3_2223/sch_largest_100-coded/time_info/full_data_normalized_time.pkl")
 def train():
     parser = argparse.ArgumentParser()
     parser.add_argument('-workspace_name', type=str, default=None)
-    parser.add_argument('-model_name', type=str, default=None)
     parser.add_argument('-code', type=str, default=None, help="folder for pretraining outputs and logs")
     parser.add_argument('-finetune_task', type=str, default=None, help="folder inside finetuning")
     parser.add_argument("-attention", type=bool, default=False, help="analyse attention scores")
@@ -555,7 +507,7 @@ def train():
     parser.add_argument("-b", "--batch_size", type=int, default=500, help="number of batch_size") #64
     parser.add_argument("-e", "--epochs", type=int, default=1)#1501, help="number of epochs") #501
     # Use 50 for pretrain, and 10 for fine tune
-    parser.add_argument("-w", "--num_workers", type=int, default=7, help="dataloader worker size")
     # Later run with cuda
     parser.add_argument("--with_cuda", type=bool, default=False, help="training with CUDA: true, or false")
@@ -607,19 +559,10 @@ def train():
     vocab_obj.load_vocab()
     print("Vocab Size: ", len(vocab_obj.vocab))
-    prepare_normalized_time_df()
     print("Testing using finetuned model......")
-    print("Loading Test Dataset", args.test_dataset_path)
-    # "ASTRA-FT-HGR-RANDOM10", "ASTRA-FT-FIRST10-WSKILLS", "ASTRA-FT-FIRST10-WTIME", "ASTRA-FT-FIRST10-WSKILLS_WTIME"
-    # test_dataset = TokenizerDataset(args.test_dataset_path, args.test_label_path, vocab_obj, seq_len=args.seq_len)
-    if args.model_name == "ASTRA-FT-HGR-RANDOM10":
-        test_dataset = TokenizerwSkillsDataset(args.test_dataset_path, args.test_label_path, vocab_obj, seq_len=args.seq_len)
-    elif args.model_name == "ASTRA-FT-FIRST10-WSKILLS":
-        test_dataset = TokenizerwSkillsDataset(args.test_dataset_path, args.test_label_path, vocab_obj, seq_len=args.seq_len)
-    elif args.model_name == "ASTRA-FT-FIRST10-WTIME":
-        test_dataset = TokenizerwTimeDataset(args.test_dataset_path, args.test_label_path, vocab_obj, seq_len=args.seq_len)
-    elif args.model_name == "ASTRA-FT-FIRST10-WSKILLS_WTIME":
-        test_dataset = TokenizerwSkillsTimeDataset(args.test_dataset_path, args.test_label_path, vocab_obj, seq_len=args.seq_len)
     # test_dataset = TokenizerDatasetForCalibration(args.test_dataset_path, args.test_label_path, vocab_obj, seq_len=args.seq_len)
     print("Creating Dataloader...")

 from torch.utils.data import DataLoader
 import pickle
 print("here1",os.getcwd())
+from src.dataset import TokenizerDataset, TokenizerDatasetForCalibration
 from src.vocab import Vocab
 print("here3",os.getcwd())
 from src.bert import BERT
 import sys
 import time
 import numpy as np
 from sklearn.metrics import precision_score, recall_score, f1_score, confusion_matrix, roc_curve, roc_auc_score
 import matplotlib.pyplot as plt
             sys.stdout = sys.__stdout__
         sys.stdout = sys.__stdout__
 def train():
     parser = argparse.ArgumentParser()
     parser.add_argument('-workspace_name', type=str, default=None)
     parser.add_argument('-code', type=str, default=None, help="folder for pretraining outputs and logs")
     parser.add_argument('-finetune_task', type=str, default=None, help="folder inside finetuning")
     parser.add_argument("-attention", type=bool, default=False, help="analyse attention scores")
     parser.add_argument("-b", "--batch_size", type=int, default=500, help="number of batch_size") #64
     parser.add_argument("-e", "--epochs", type=int, default=1)#1501, help="number of epochs") #501
     # Use 50 for pretrain, and 10 for fine tune
+    parser.add_argument("-w", "--num_workers", type=int, default=0, help="dataloader worker size")
     # Later run with cuda
     parser.add_argument("--with_cuda", type=bool, default=False, help="training with CUDA: true, or false")
     vocab_obj.load_vocab()
     print("Vocab Size: ", len(vocab_obj.vocab))
     print("Testing using finetuned model......")
+    print("Loading Test Dataset", args.test_dataset_path)
+    test_dataset = TokenizerDataset(args.test_dataset_path, args.test_label_path, vocab_obj, seq_len=args.seq_len)
     # test_dataset = TokenizerDatasetForCalibration(args.test_dataset_path, args.test_label_path, vocab_obj, seq_len=args.seq_len)
     print("Creating Dataloader...")

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-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
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-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
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-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	OptionalTask_2 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-1
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-1
-PercentChange-0 	NumeratorQuantity2-1 	NumeratorQuantity1-2 	DenominatorQuantity1-1 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-1 	FinalAnswerDirection-0 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-1
-PercentChange-2 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow2:1 	FirstRow1:1 	FirstRow2:2 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	DenominatorQuantity1-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow2:2 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswerDirection-0 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-2 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	NumeratorQuantity2-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:2 	FirstRow2:1 	FirstRow1:2 	FirstRow1:1 	FirstRow2:1 	FirstRow1:1 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswerDirection-0 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-2 	NumeratorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	EquationAnswer 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow2:2 	FirstRow1:2 	FirstRow2:2 	FirstRow1:2 	FirstRow2:1 	SecondRow 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-0 	DenominatorQuantity1-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow1:1 	FirstRow2:2 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-2 	NumeratorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow1:1 	FirstRow2:2 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-2 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow1:1 	FirstRow2:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswerDirection-0 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	EquationAnswer 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow2:2 	FirstRow1:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-2 	FinalAnswerDirection-2 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-2 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0 	FinalAnswerDirection-2
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	FinalAnswer-2 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswerDirection-0 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	NumeratorQuantity2-0 	OptionalTask_1 	EquationAnswer 	NumeratorFactor 	OptionalTask_2 	FirstRow1:2 	FirstRow1:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswerDirection-2 	FinalAnswer-1
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-0 	DenominatorQuantity1-2 	NumeratorQuantity1-2 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-2 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow1:2 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-0 	DenominatorQuantity1-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2 	EquationAnswer 	NumeratorFactor 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-2 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_1 	EquationAnswer 	NumeratorFactor 	DenominatorFactor 	OptionalTask_2 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow1:2 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-2
-PercentChange-0 	DenominatorQuantity1-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	OptionalTask_1 	FinalAnswerDirection-0 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow2:2 	FirstRow2:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-2 	DenominatorQuantity1-0 	NumeratorQuantity1-2 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	NumeratorQuantity2-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow2:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow2:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_2 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:2 	FirstRow1:1 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	FinalAnswer-1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FinalAnswer-1
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:2 	FirstRow1:1 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:2 	FirstRow1:1 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-1
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:2 	FirstRow1:1 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FinalAnswer-1
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-1
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-1
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	EquationAnswer 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	FirstRow1:1 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:2 	FirstRow1:1 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	EquationAnswer 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	FinalAnswerDirection-0 	ThirdRow 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	EquationAnswer 	NumeratorFactor 	DenominatorFactor 	FinalAnswer-2 	FinalAnswerDirection-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-2 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:2 	FirstRow1:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswerDirection-0 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	FinalAnswer-2 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-1
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	NumeratorQuantity2-2 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-2 	OptionalTask_1 	OptionalTask_2 	EquationAnswer 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow1:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	FinalAnswer-2 	FinalAnswerDirection-0
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-2 	OptionalTask_1 	OptionalTask_2 	EquationAnswer 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow1:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswerDirection-0 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	EquationAnswer 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow1:1 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-1
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	FirstRow2:1 	FirstRow1:1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:2 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:2 	FirstRow1:1 	FirstRow2:2 	FirstRow2:1 	SecondRow 	FinalAnswerDirection-0 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	DenominatorQuantity1-2 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow2:2 	FirstRow2:1 	FirstRow1:2 	FirstRow1:1 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow2:2 	FirstRow2:1 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-0 	FinalAnswerDirection-0
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow2:2 	FirstRow2:1 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_2 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-2 	OptionalTask_2 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow2:2 	FirstRow2:1 	FirstRow1:2 	FirstRow1:1 	SecondRow 	ThirdRow 	FinalAnswer-2
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-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
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-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswerDirection-0 	FinalAnswer-0
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-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-2 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	OptionalTask_1 	EquationAnswer 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-0 	FinalAnswerDirection-0
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-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-0
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-PercentChange-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	NumeratorQuantity1-2 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-2 	FinalAnswerDirection-0
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-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	OptionalTask_2 	FirstRow1:1 	FirstRow1:2 	FirstRow2:1 	FirstRow2:2 	SecondRow 	ThirdRow 	FinalAnswer-0
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-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-2 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	FinalAnswer-2 	OptionalTask_1 	NumeratorFactor 	DenominatorFactor 	EquationAnswer 	FinalAnswer-0
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-PercentChange-0 	NumeratorQuantity2-2 	DenominatorQuantity1-0 	NumeratorQuantity1-2 	NumeratorQuantity2-2 	OptionalTask_1 	OptionalTask_2 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:1 	FirstRow2:2 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	DenominatorQuantity1-0 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	NumeratorQuantity2-2 	FinalAnswer-2 	OptionalTask_2 	OptionalTask_1 	EquationAnswer 	DenominatorFactor 	EquationAnswer 	DenominatorFactor 	FinalAnswerDirection-0 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-0 	NumeratorQuantity2-0 	NumeratorQuantity1-2 	DenominatorQuantity1-2 	NumeratorQuantity1-2 	OptionalTask_1 	OptionalTask_2 	FinalAnswerDirection-0 	EquationAnswer 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	SecondRow 	ThirdRow 	FinalAnswer-0
-PercentChange-2 	NumeratorQuantity2-2 	NumeratorQuantity1-0 	DenominatorQuantity1-0 	NumeratorQuantity2-0 	OptionalTask_1 	OptionalTask_2 	EquationAnswer 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow1:1 	FirstRow1:2 	FirstRow2:2 	FirstRow2:1 	FinalAnswerDirection-2 	SecondRow 	ThirdRow 	FinalAnswer-2
-PercentChange-0 	NumeratorQuantity2-0 	DenominatorQuantity1-0 	NumeratorQuantity1-0 	OptionalTask_1 	OptionalTask_2 	NumeratorFactor 	DenominatorFactor 	NumeratorFactor 	EquationAnswer 	FirstRow2:2 	FirstRow2:1 	FirstRow1:1 	FirstRow1:2 	SecondRow 	ThirdRow 	FinalAnswer-2
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