[INSTRUCTIONS]

You are a program-analysis assistant. Your task is to statically analyze the control dependence of a given code snippet. 

## 1. Control Dependence Definition
  Control dependence captures the influence of control-flow decisions on the execution of statements.

  A statement `S2` is control-dependent on `S1` if there is a **transitive** (indirect) chain of **direct** control dependencies from `S1` to `S2`. This is equivalent to saying that `S1` has control dependence over `S2`, meaning `S1`’s condition influences whether `S2` executes.


  **Direct Control Dependence**:
  A statement `S2` is **directly** control-dependent on a statement `S1` if:
  
  1.	`S1` is a conditional control statement (e.g., an `if`, `while`, `for`, `switch`, etc.).
  
  2.	`S1` directly determines whether `S2` executes. That is, `S1` has multiple successor branches, 

  - there exists **at least one branch** in which `S2` **always executes**, and
  - there exists **at least one other branch** in which `S2` does **not necessarily execute**.

    “Not necessarily execute” means that `S2` might execute or might not, but it is **not guaranteed** to execute in that branch.

  `S2` is **control-dependent** on `S1` if there exists a **transitive chain** of control dependencies from `S1` to `S2`, where each intermediate step in the chain represents a **direct** control dependence between two statements.



## 2. Output Format
When asked, “Does line `S1` have control dependence over line `S2`? If so, provide a trace.” You should respond in JSON format as follows:

- If there is a control dependence:

```json
{
  "ControlDependence": true,
  "Trace": [S1, ..., S2]
}
```

- If there is no control dependence:
```json
{
  "ControlDependence": false
}
```

A **trace** represents a **transitive control flow**, where each adjacent pair in the list reflects a **direct** control dependence. The trace must starts with `S1` and ends with `S2`.


    

## 3. Interprocedural Control 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  if x > 0:
2      y = 10       # this line is directly control-dependent on line 1 (x>0)
3      if y > 5:
4          z = 20   # this line is directly control-dependent on line 3 (y>5)
5          w = 30   # this line is directly control-dependent on line 3 (y>5)
6  v = 40           # this line is NOT control-dependent on any line
```


**Analysis**:
- Line 2 is directly control-dependent on line 1 (`x>0`)
- Lines 4 and 5 are directly control-dependent on line 3 (`y>5`).
- Lines 4 and 5 are **indirectly** control-dependent on line 1 (`x>0`) becasue even if line 1 (`x>0`) is `true`, lines 4 and 5 may not execute if line 3’s condition (`y>5`) is `false`. However, since control dependence is transitive, lines 4 and 5 are **indirectly** control-dependent on line 1. 
- Line 6 is not control-dependent on any lines because Line 6 always executes, regardless of whether line 1 (`x>0`) or line 3 (`y>5`) is true or false.



#### Example Question 1.1: 
Does line `1` have control dependence over line `5`? If so, provide a trace.

**Output**: 
```json
{
  "ControlDependence": true,
  "Trace": [1, 3, 5]
}
```

#### Example Question 1.2:
Does line `3` have control dependence over line `6`? If so, provide a trace.

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


### Example 2

```python
1  count = 0
2  if count < 5:
3      count += 1
4  print("Step 1 done")
5  while count < 10:
6      if count == 7:
7          break
8      if count % 2 == 0:
9          continue
10     count += 2
11     if count > 9:
12         count = 9
13     print("Iteration done")
14 print("End of program")
```

#### Example Question 2.1: 
Does line `5` have control dependence over line `13`? If so, provide a trace.

**Analysis**:
  - Line 13 is directly control-dependent on line 8 because if line 8 evaluates to `true`, continue skips line 13 for that iteration.
  - Line 8 is directly control-dependent on line 6 because if line 6 evaluates to `true`, the break statement terminates the loop, preventing line 8 from executing.
  - Line 6 is directly control-dependent on line 5 because the loop condition at line 5 determines whether line 6 executes. If line 5 evaluates to `false`, execution skips the loop entirely.


Since control dependence is transitive, line 5 indirectly controls line 13 through lines 6 and 8. The trace is `5->6->8->13`.

**Output**:
```json
{
  "ControlDependence": true,
  "Trace": [5, 6, 8, 13]
}
```

#### Example Question 2.2: 
Does line `8` have control dependence over line `10`? If so, provide a trace.


**Analysis**: Similar to the explanation above, line 8 is an `if` condition inside the `while` loop with a `continue`, so it can make the execution skip the rest of the loop entirely, including line 10. Therefore, line 10 directly control-dependent on 8.



**Output**:
```json
{
  "ControlDependence": true,
  "Trace": [8, 10]
}
```

#### Example Question 2.3: 
Does line `5` have control dependence over line `14`? If so, provide a trace.

**Analysis**: Line 5 doesn't affect whether line 14 is reached. Line 14 is outside the while loop (lines 5 -- 13) and will be executed regardless of the condition. 

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


#### Example Question 2.4: 
Does line `2` have control dependence over line `12`? If so, provide a trace.

**Analysis**: Line 2 doesn't affect whether line 12 is reached. The condition in line 2 only controls whether line 3 is executed. Line 12 is in while loop (line 5 -- 13) and will or will not be executed regardless of the condition in line 2. 

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

---

[YOUR TURN]

Below is **your target snippet**. 

```Python
1   from __future__ import print_function
2   import sys
3   import time
4   sys.setrecursionlimit(10 ** 6)
5   inputFileName = None
6   outputFileName = None
7   if inputFileName is not None:
8       outputFileName = inputFileName[:-3] + ".out"
9   import platform
10  global MY_DEBUG
11  MY_DEBUG = platform.node().lower() in map(lambda s: s.lower(), ['HOMEPC3', 'lenovo'])
12  logF = None
13  if MY_DEBUG:
14      logF = open("run.log", 'w')
15  def dbg_print(s):
16      if MY_DEBUG:
17          logF.write('{0}\n'.format(s))
18          logF.flush()
19  startTime = time.time()
20  dbg_print(startTime)
21  def runSingleTest(inpF, outF):
22      line = inpF.readline()
23      tokens = line.split()
24      a_exc = int(tokens[0])
25      b_inc = int(tokens[1])
26      line = inpF.readline()
27      n = int(line)
28      for i in xrange(n):
29          guess = (a_exc + b_inc + 1) / 2
30          print(guess, file=outF)
31          line = inpF.readline_safe()
32          if 'CORRECT' == line:
33              return
34          elif 'TOO_SMALL' == line:
35              a_exc = guess + 1
36          elif 'TOO_BIG' == line:
37              b_inc = guess - 1
38          else:
39              dbg_print("Unexpected line '{0}'".format(line))
40              raise RuntimeError("Unexpected line '{0}'".format(line))
41      raise RuntimeError("AAAAA")
42  class InpFWrapper:
43      def __init__(self, inpF):
44          self.inpF = inpF
45      def readline(self):
46          line = self.inpF.readline()
47          dbg_print("Read line is '{0}'".format(line.replace("\n", "\\n")))
48          return line
49      def readline_safe(self):
50          line = self.inpF.readline()
51          dbg_print("Read line safe is '{0}'".format(line.replace("\n", "\\n")))
52          return line[0:-1] if (line[-1] == '\n') else line
53  class OutFWrapper:
54      def __init__(self, outF):
55          self.outF = outF
56      def __getattr__(self, name):
57          return getattr(self.outF, name)
58      def write(self, str):
59          dbg_print("Writing '{0}'".format(str.replace("\n", "\\n")))
60          self.outF.write(str)
61          self.outF.flush()
62  def myMain(inpF, outF):
63      if (MY_DEBUG):
64          dbg_print('input = {0}, out = {1}'.format(inputFileName, outputFileName))
65      inpF = InpFWrapper(inpF)
66      outF = OutFWrapper(outF)
67      line = inpF.readline()
68      testsCount = int(line)
69      for i in xrange(1, testsCount + 1):
70          dbg_print('--------  {0}/{1} {2} --------------------------'.format(i, testsCount, (time.time() - startTime)))
71          runSingleTest(inpF, outF)
72          dbg_print('--------  {0}/{1} {2} --------------------------'.format(i, testsCount, (time.time() - startTime)))
73  if inputFileName is not None:
74      with open(inputFileName) as inpF:
75          with open(outputFileName, 'w') as outF:
76              myMain(inpF, outF)
77  else:
78      myMain(sys.stdin, sys.stdout)
79  dbg_print("Finished!!!! Total time = {0}".format((time.time() - startTime)))
```


**Question**: Does line `34` have control dependence over line `35` in function `runSingleTest`? If so, provide a trace.

**Output**:


Ground truth answer: yes