[INSTRUCTIONS]

You are a program-analysis assistant. Perform a **static** data-dependence analysis on a given code snippet, treating each branch or loop condition as potentially taking any outcome, without using semantic or symbolic execution to prune paths.


## 1. Data Dependence Definition

   Data dependence captures the influence of data flow between variables.

   We denote each variable instance as `(var,lineNumber)`, meaning the variable `var` defined or updated at `lineNumber`.

   >  **Direct Data Dependence**
   A variable instance `(varB,lineB)` is **directly** data-dependent on `(varA,lineA)` if `lineA` writes to `varA`. Then, without overwritting the value of `varA`, `lineB` reads `varA` and compute the value of `varB`. In other words, the value of `(varB,lineB)` relies on the value produced at `(varA,lineA)`. In addition, changing the execution order of `(varA,lineA)` and `(varB,lineB)` would alter their results.


   A variable instance `(varB,lineB)` is data-dependent on `(varA,lineA)` if there is a **transitive** (indirect) chain of **direct** data dependencies from `(varA,lineA)` to `(varB,lineB)`. This is equivalent to saying that `(varA,lineA)` has data dependence over `(varB,lineB)`, meaning the value written at `(varA,lineA)` can propagate to `(varB,lineB)` through a sequence of read/write operations.


## 2. Output Format
   When asked "Does `(varA,lineA)` have data dependence over `(varB,lineB)`? If so, provide one feasible trace.": 
   - If data dependence exists, respond:
   ```json
   {
   "DataDependence": true,
   "Trace": [
      { "from": ["varA", lineA], "to": ["varX", lineX] },
      ...
      { "from": ["varY", lineY], "to": ["varB", lineB] }
      ]
   }
   ```

   -  If no data dependence exists, respond:
   ```json
   {
   "DataDependence": false
   }
   ```
   
   A **trace** represents a **transitive data flow**, where each item represents a **direct** data dependence edge. The full trace should begin with `(varA,lineA)` and end with `(varB,lineB)`.

   You only need to provide **one** valid chain of data dependence if you conclude a data dependence exists, even if multiple possible chains exist. 


## 3. Intraprocedural Data Dependence
   All dependence analysis is performed within **a single function**. We do not track dependencies across function boundaries. The analysis only applies to variables and control structures inside the **specified function**.

## 4. Example Code Snippet

### Example 1

```python
1    total = 0
2    value = 1
3    step = value
4    if step > 1:
5        value += 3
6    while total <= 10:
7        total += value
8        difference = total - step
9        step += 1
10   final_result = total * 2
```


#### Example Question 1.1:
Does `(value,2)` have data dependence over `(step,9)`? If so, provide a trace.

**Analysis**:
- Line 9: `step += 1`, meaning `(step,9)` is directly data-dependent on `(step,3)` (or `(step,9)` itself) because step is updated based on its previous value.
- Line 3: `step = value`, meaning `(step,3)` is directly data-dependent on `(value,2)`.
Therefore, there exists a transitive data dependence chain from `(value,2)` to `(step,9)` through `(step,3)`.


**Output**:
```json
{
  "DataDependence": true,
  "Trace": [
    { "from": ["value", 2], "to": ["step", 3] },
    { "from": ["step", 3], "to": ["step", 9] }
  ]
}
```

#### Example Question 1.2 
Does `(value,2)` have data dependence over `(total,7)`? If so, provide a trace.

**Analysis**:
- Line 7: `total += value`, meaning `(total,7)` reads `value` from either `(value,2)` or `(value,5)`.
- Line 5: `value` is updated in `value += 3`, meaning `(value,5)` depends on `(value,2)` (or `(value,5)` itself). However, this update is inside an if statement, which means it may or may not execute depending on runtime conditions.
- Line 2: value is initialized at `(value,2)`.


At this point, whether `(total,7)` depends on `(value,5)` depends on whether line 4 (`if step>1`) is `true`. Since this is a static analysis, all possible paths are considered without analyzing actual reachability. This means line 5 is treated as both possibly executed and possibly not executed.

- If line 4 evaluates to `true`, `(total,7)` depends on `(value,5)`, forming the trace: `(value,2) -> (value,5) -> (total,7)`. 
- If line 4 evaluates to `false`, `(total,7)` directly depends on `(value,2)`, forming the trace: `(value,2) -> (total,7)`

Therefore, the answer is yes.
Only one valid trace is required for the output. 

**Output**:
```json
{
  "DataDependence": true,
  "Trace": [
    { "from": ["value", 2], "to": ["value", 5] },
    { "from": ["value", 5], "to": ["total", 7] }
  ]
}

```



#### Example Question 1.3
Does `(step,3)` have data dependence over `(final_result,10)`? If so, provide a trace.  

**Analysis**:
Since there is no direct or transitive data dependence between `(step,3)` and `(final_result,10)`, the answer is No.

**Output**:
```json
{
  "DataDependence": false
}
```

**Analysis**:


### Example 2

```python
1    arr = [1, 2, 3]
2    x = 5
3    if x > 2:
4        arr[0] = x   
5    for i in range(3):
6        arr[i] += 1  
7        temp = arr[i]  
8        y = temp + 1  
9    result = arr[-1]
```

#### Example Question 2.1:
Does `(x,2)` have data dependence over `(arr,6)`? If so, provide a trace.

**Analysis**
- Line 6: `arr[i] += 1` modifies `arr[i]`, but i varies during the loop execution.
   - If `i == 0`, `arr[i]` refers to `arr[0]`, which was updated in line 4 (or line 6 itself), establishing a dependence chain `(arr,4)` -> `(arr,6)`.
   - If `i != 0`, `arr[i]` does not refer to `arr[0]`, meaning it depend on `(arr,1)` (or `(arr,6)` itself), not `(arr,4)`.
   - However, since static analysis considers all possible paths without resolving i’s runtime value, we must assume `arr[i]` could be `arr[0]`, leading to a possible dependence.
- Line 4: `arr[0] = x`, meaning `(arr,4)` depends on `(x,2)`.
- Line 2: `x` is initialized at `(x,2)`.
- Since there is a transitive chain of direct data dependence: `(x,2)->(arr,4)->(arr,6)`, the answer is yes.


**Output**:
```json
{
  "DataDependence": true,
  "Trace": [
    { "from": ["x", 2], "to": ["arr", 4] },
    { "from": ["arr", 4], "to": ["arr", 6] }
  ]
}
```


#### Example Question 2.2:
Does `(i,5)` have data dependence over `(temp,7)`? If so, provide a trace.

**Analysis**:
- Line 7: `temp = arr[i]`, meaning temp depends on `i`, since `i` determines which element of arr is accessed.
- Line 5: `i` is initialized and iterates over the range 0 to 3.
- Since there is a transitive chain of direct data dependence: `(i,5)->(temp,7)`, the answer is yes.


**Output**:
```json
{
  "DataDependence": true,
  "Trace": [
    { "from": ["i", 5], "to": ["temp", 7] }
  ]
}
```

#### Example Question 2.3:
Does `(i,5)` have data dependence over `(result,9)`? If so, provide a trace.

**Analysis**:
- Line 9: `result = arr[-1]`, meaning result depends on `arr[-1]`, which is arr[2], possibly get updated at line 6 (or line 1).
- Line 6: `arr[i] += 1`, meaning `arr[i]` is modified based on the value of `i`.
- Line 5: `i` iterates over 0 to 3.
- Since there is a transitive chain of direct data dependence: `(i,5)->(arr,6)->(result,9)`, the answer is yes.


**Output**:
```json
{
  "DataDependence": true,
  "Trace": [
    { "from": ["i", 5], "to": ["arr", 6] },
    { "from": ["arr", 6], "to": ["result", 9] }
  ]
}
```

---

[YOUR TURN]

Below is **your target snippet**. 

```Java
1   import java.io.BufferedReader;
2   import java.io.IOException;
3   import java.io.InputStream;
4   import java.io.InputStreamReader;
5   import java.io.PrintWriter;
6   import java.io.StringReader;
7   import java.util.ArrayList;
8   import java.util.StringTokenizer;
9   import java.util.Scanner;
10  public class Main  implements Runnable { 
11      public static void main(String[] args) {
12          new Thread(null, new Main(), "", 16 * 1024 * 1024).start(); 
13      }
14      public void run() {
15      	Scanner sc = new Scanner(System.in);
16  		int h = Integer.parseInt(sc.next());
17  		int w = Integer.parseInt(sc.next());
18  		char a[][] = new char[h][w];
19  		int atmp[] = new int[h];
20  		int max= 0;
21  		int blackar[][] = new int[h*w][2];
22  		int p=0;
23  		for (int i = 0; i < h; i++)
24  		{
25  				a[i]= sc.next().toCharArray();
26  				for (char j = 0; j < w; j++)
27  				{
28  					if(a[i][j]=='#')
29  					{
30  						blackar[p][0]=i;
31  						blackar[p][1]=j;
32  						p++;
33  					}
34  				}
35  		}
36  		int maxp = p;
37      	int p2=p;
38  		p=0;
39  	    while(p<h*w)
40  	    {
41  		    int hap = 0;
42  			for (; p<maxp;p++)
43  			{
44  				int i = blackar[p][0];
45  				int j = blackar[p][1];
46  					if(i-1>=0)
47  					{
48  						if (a[i-1][j] == '.')
49  						{
50  							a[i-1][j] = '#';
51  							blackar[p2][0]=i-1;
52  							blackar[p2][1]=j;
53  							p2++;
54  						}
55  					}
56  					if(j-1>=0)
57  					{
58  						if (a[i][j-1] == '.')
59  						{
60  							a[i][j-1] = '#';
61  							blackar[p2][0]=i;
62  							blackar[p2][1]=j-1;
63  							p2++;
64  						}
65  					}
66  					if(i+1<h)
67  					{
68  						if (a[i+1][j] == '.')
69  						{
70  							a[i+1][j] = '#';
71  							blackar[p2][0]=i+1;
72  							blackar[p2][1]=j;
73  							p2++;
74  						}
75  					}
76  					if(j+1<w)
77  					{
78  						if (a[i][j+1] == '.')
79  						{
80  							a[i][j+1] = '#';
81  							blackar[p2][0]=i;
82  							blackar[p2][1]=j+1;
83  							p2++;
84  						}
85  					}
86  		    }
87  			maxp=p2;
88  			max++;
89  		}
90  	    max= max-1;
91  		int ans = max;
92  		PrintWriter out = new PrintWriter(System.out);
93  		out.println(ans);
94  		out.flush();
95  	}
96      static class FastScanner {
97          private BufferedReader reader = null;
98          private StringTokenizer tokenizer = null;
99          public FastScanner(String in) {
100          	StringReader sr = new StringReader(in);
101              reader = new BufferedReader(new BufferedReader(sr));
102              tokenizer = null;
103          }
104          public FastScanner(InputStream in) {
105              reader = new BufferedReader(new InputStreamReader(in));
106              tokenizer = null;
107          }
108          public String next() {
109              if (tokenizer == null || !tokenizer.hasMoreTokens()) {
110                  try {
111                      tokenizer = new StringTokenizer(reader.readLine());
112                  } catch (IOException e) {
113                      throw new RuntimeException(e);
114                  }
115              }
116              return tokenizer.nextToken();
117          }
118          public String nextLine() {
119              if (tokenizer == null || !tokenizer.hasMoreTokens()) {
120                  try {
121                      return reader.readLine();
122                  } catch (IOException e) {
123                      throw new RuntimeException(e);
124                  }
125              }
126              return tokenizer.nextToken("\n");
127          }
128          public long nextLong() {
129              return Long.parseLong(next());
130          }
131          public long nextInt() {
132              return Integer.parseInt(next());
133          }
134      }
135  }
```


**Question**: Does `(p2,73)` have data dependence over `(a,80)` in function `run`? If so, provide a trace.

**Output**:


Ground truth answer: yes