updated total attempts/ task attempted ratio

app.py

@@ -208,8 +208,8 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
             opt1_successful_first_attempts, opt2_successful_first_attempts
         ) = analyze_row(row)
 
-        opt1_ratios.append(opt1_attempted / opt1_total_attempts if opt1_total_attempts > 0 else 0)
-        opt2_ratios.append(opt2_attempted / opt2_total_attempts if opt2_total_attempts > 0 else 0)
+        opt1_ratios.append( opt1_total_attempts / opt1_attempted if opt1_total_attempts > 0 else 0)
+        opt2_ratios.append( opt2_total_attempts / opt2_attempted if opt2_total_attempts > 0 else 0)
     # create a summey for task:attempted, total attempts and succesful attempts for each row
     #     row_summary.append({
     #     "row_index": i + 1,
@@ -274,9 +274,9 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
         marker=dict(color='blue'),
         opacity=1,
         xbins=dict(
-            start=0.0,
-            end=1.0,
-            size=0.1  # Bin width set to 0.1 for 10 bins
+            start=1.0,
+            end=max(opt1_ratios) if max(opt1_ratios) < 15 else 15,
+            size=1  # Bin width set to 0.1 for 10 bins
         )
     ))
     fig_hist2=go.Figure()
@@ -287,20 +287,21 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
         marker=dict(color='red'),
         opacity=1,
         xbins=dict(
-            start=0.0,
-            end=1.0,
-            size=0.1  # Bin width set to 0.1 for 10 bins
+            start=1.0,
+            end=max(opt1_ratios) if max(opt1_ratios) < 15 else 15,
+            size=1  # Bin width set to 0.1 for 10 bins
         )
     ))
 
     # Update layout
     fig_hist1.update_layout(
-        title="ER: Histogram of Task Success Ratios Across Dataset",
+        title="ER: Histogram of Attempts required per task",
         title_x=0.5,
         xaxis=dict(
-            title="Success Ratio (Tasks Attempted / Total Attempts)",
+            title="Success Ratio ( Total Attempts / Tasks Attempted )",
             tickmode="array",
-            tickvals=np.linspace(0, 1, 11),  # 10 evenly spaced ticks
+            tickvals=list(range(1, 11)) + [15],  # 1,2,3,...10, 15+  
+            ticktext=[str(i) for i in range(1, 11)] + ["10+"],
         ),
         yaxis=dict(
             title="Number of Instances"
@@ -320,12 +321,13 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
         barmode='overlay'  # Overlapping bars
     )
     fig_hist2.update_layout(
-        title="ME: Histogram of Task Success Ratios Across Dataset",
+        title="ME: Histogram of Attempts required per task",
         title_x=0.5,
         xaxis=dict(
-            title="Success Ratio (Tasks Attempted  / Total Attempts)",
+            title="Success Ratio (Total Attempts / Tasks Attempted)",
             tickmode="array",
-            tickvals=np.linspace(0, 1, 11),  # 10 evenly spaced ticks
+            tickvals=list(range(1, 11)) + [15],  # 1,2,3,...10, 15+  
+            ticktext=[str(i) for i in range(1, 11)] + ["10+"],
         ),
         yaxis=dict(
             title="Number of Instances"
@@ -435,17 +437,17 @@ def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
 
     progress(0.2, desc="analysis done!! Executing 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","../../../../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)
-    ])
+    # 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","../../../../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)
+    # ])
     progress(0.6,desc="Model execution completed")
     result = {}
     with open("result.txt", 'r') as file: