p-doom/crowd-code-dataset-0.2 huggingface dataset:
[tab] tab-model-eval/data/eval/handcrafted/simple_calc_correct_error.md (markdown)

# Assistant
```bash
ls -la
```

# User
<stdout>
total 336
drwxrwx--- 3 alfred.nguyen alfred.nguyen   318 Nov 13 18:05 .
drwxr-xr-x 9 alfred.nguyen alfred.nguyen   171 Nov 12 15:29 ..
-rw-rw---- 1 alfred.nguyen alfred.nguyen     0 Nov 13 18:05 calculator.py
</stdout>


# Assistant
```bash
cat -n calculator.py
```

# User
<stdout>
     1  def add(a, b):
     2      return a + b
     3
     4  def subtract(a, b):
     5      return a - b
     6
     7  def multiply(a, b):
     8      return a * b
     9
     10  def divide(a, b):
     11      if b == 0:
     12          return "Error: Division by zero"
     13      return a // b
     14
     15  if __name__ == "__main__":
     16      import argparse
     17      parser = argparse.ArgumentParser(description="Simple calculator")
     18      parser.add_argument("operation", choices=["add", "subtract", "multiply", "divide"])
     19      parser.add_argument("a", type=float)
     20      parser.add_argument("b", type=float)
     21      args = parser.parse_args()
     22
     23      if args.operation == "add":
     24          result = add(args.a, args.b)
     25      elif args.operation == "subtract":
     26          result = subtract(args.a, args.b)
     27      elif args.operation == "multiply":
     28          result = multiply(args.a, args.b)
     29      else:
     30          result = divide(args.a, args.b)
     31
     32      print(result)
</stdout>

# Assistant
```bash
python calculator.py add 5 3
```

# User
<stdout>
8.0
</stdout>

# Assistant
```bash
python calculator.py multiply 4 7
```

# User
<stdout>
28.0
</stdout>

# Assistant
```bash
python calculator.py divide 5 2
```

# User
<stdout>
2
</stdout>

# Assistant
```bash
sed -i 's/^    return a \/\/ b/    return a \/ b/' calculator.py && cat -n calculator.py
```

# User
<stdout>
     1  def add(a, b):
     2      return a + b
     3
     4  def subtract(a, b):
     5      return a - b
     6
     7  def multiply(a, b):
     8      return a * b
     9
    10  def divide(a, b):
    11      if b == 0:
    12          return "Error: Division by zero"
    13      return a / b
    14
    15  if __name__ == "__main__":
    16      import argparse
    17      parser = argparse.ArgumentParser(description="Simple calculator")
    18      parser.add_argument("operation", choices=["add", "subtract", "multiply", "divide"])
    19      parser.add_argument("a", type=float)
    20      parser.add_argument("b", type=float)
    21      args = parser.parse_args()
    22
    23      if args.operation == "add":
    24          result = add(args.a, args.b)
    25      elif args.operation == "subtract":
    26          result = subtract(args.a, args.b)
    27      elif args.operation == "multiply":
    28          result = multiply(args.a, args.b)
    29      else:
    30          result = divide(args.a, args.b)
    31
    32      print(result)
</stdout>

# Assistant
```bash
python calculator.py divide 5 2
```

# User
<stdout>
2.5
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/simple_calc.md (markdown)
# User 
Create a simple calculator program that can add, subtract, multiply, and divide two numbers.

# Assistant
```bash
cat <<'EOF' > calculator.py
def add(a, b):
    return a + b

def subtract(a, b):
    return a - b

def multiply(a, b):
    return a * b

def divide(a, b):
    if b == 0:
        return "Error: Division by zero"
    return a / b

if __name__ == "__main__":
    import argparse
    parser = argparse.ArgumentParser(description="Simple calculator")
    parser.add_argument("operation", choices=["add", "subtract", "multiply", "divide"])
    parser.add_argument("a", type=float)
    parser.add_argument("b", type=float)
    args = parser.parse_args()

    if args.operation == "add":
        result = add(args.a, args.b)
    elif args.operation == "subtract":
        result = subtract(args.a, args.b)
    elif args.operation == "multiply":
        result = multiply(args.a, args.b)
    else:
        result = divide(args.a, args.b)

    print(result)
EOF && cat -n calculator.py
```

# User
<stdout>
     1  def add(a, b):
     2      return a + b
     3
     4  def subtract(a, b):
     5      return a - b
     6
     7  def multiply(a, b):
     8      return a * b
     9
     10  def divide(a, b):
     11      if b == 0:
     12          return "Error: Division by zero"
     13      return a / b
     14
     15  if __name__ == "__main__":
     16      import argparse
     17      parser = argparse.ArgumentParser(description="Simple calculator")
     18      parser.add_argument("operation", choices=["add", "subtract", "multiply", "divide"])
     19      parser.add_argument("a", type=float)
     20      parser.add_argument("b", type=float)
     21      args = parser.parse_args()
     22
     23      if args.operation == "add":
     24          result = add(args.a, args.b)
     25      elif args.operation == "subtract":
     26          result = subtract(args.a, args.b)
     27      elif args.operation == "multiply":
     28          result = multiply(args.a, args.b)
     29      else:
     30          result = divide(args.a, args.b)
     31
     32      print(result)
</stdout>

# Assistant
```bash
python calculator.py add 5 3
```

# User
<stdout>
8
</stdout>

# Assistant
```bash
python calculator.py subtract 9 4
```

# User
<stdout>
5
</stdout>

# Assistant
```bash
python calculator.py multiply 4 7
```

# User
<stdout>
28
</stdout>

# Assistant
```bash
python calculator.py divide 5 2
```

# User
<stdout>
2.5
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/fibonacci_cached.md (markdown)
# Assistant
```bash
ls -la
```

# User
<stdout>
total 336
drwxrwx--- 3 alfred.nguyen alfred.nguyen   318 Nov 13 18:05 .
drwxr-xr-x 9 alfred.nguyen alfred.nguyen   171 Nov 12 15:29 ..
</stdout>

# Assistant
```bash
cat <<'EOF' > fibonnacci.py && cat -n fibonnacci.py
import argparse

def fibonnacci(n):
    if n <= 0:
        return 0
    elif n == 1:
        return 1
    else:
        return fibonnacci(n-1) + fibonnacci(n-2)

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--n", type=int, default=10)
    args = parser.parse_args()
    print(fibonnacci(args.n))
EOF
```

# User
<stdout>
     1  import argparse
     2  def fibonnacci(n):
     3      if n <= 0:
     4          return 0
     5      elif n == 1:
     5          return 1
     7      else:
     8          return fibonnacci(n-1) + fibonnacci(n-2)
     9 
    10 if __name__ == "__main__":
    11     parser = argparse.ArgumentParser()
    12     parser.add_argument("--n", type=int, default=10)
    13     args = parser.parse_args()
    14     print(fibonnacci(args.n))
</stdout>

# Assistant
```bash
python fibonnacci.py --n 15
```

# User
<stdout>
55
</stdout>

# Assistant
```bash
# add a cache decorator to the fibonnacci function
sed -i '1s/^/from functools import cache
/' fibonnacci.py && cat -n fibonnacci.py
```

# User
<stdout>
     1  from functools import cache
     2  import argparse
     3
     4  def fibonnacci(n):
     5      if n <= 0:
     6          return 0
     7      elif n == 1:
     8          return 1
     9      else:
    10          return fibonnacci(n-1) + fibonnacci(n-2)
    11
    12  if __name__ == "__main__":
    13      parser = argparse.ArgumentParser()
    14      parser.add_argument("--n", type=int, default=10)
    15      args = parser.parse_args()
    16      print(fibonnacci(args.n))
</stdout>

# Assistant
```bash
sed -i '4s/^/@cache
/' fibonnacci.py && cat -n fibonnacci.py
```

# User
<stdout>
     1  from functools import cache
     2  import argparse
     3
     4  @cache
     5  def fibonnacci(n):
     6      if n <= 0:
     7          return 0
     8      elif n == 1:
     9          return 1
    10      else:
    11          return fibonnacci(n-1) + fibonnacci(n-2)
    12
    13  if __name__ == "__main__":
    14      parser = argparse.ArgumentParser()
    15      parser.add_argument("--n", type=int, default=10)
    16      args = parser.parse_args()
    17      print(fibonnacci(args.n))
</stdout>

# Assistant
```bash
python fibonnacci.py --n 15
```

# User
<stdout>
55
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/fibonacci.md (markdown)
# Assistant
```bash
ls -la
```

# User
<stdout>
total 336
drwxrwx--- 3 alfred.nguyen alfred.nguyen   318 Nov 13 18:05 .
drwxr-xr-x 9 alfred.nguyen alfred.nguyen   171 Nov 12 15:29 ..
</stdout>

# Assistant
```bash
cat <<'EOF' > fibonnacci.py
import argparse

def fibonnacci(n):
    if n <= 0:
        return 0
    elif n == 1:
        return 1
    else:
        return fibonnacci(n-1) + fibonnacci(n-2)

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--n", type=int, default=10)
    args = parser.parse_args()
    print(fibonnacci(args.n))
EOF && cat -n fibonnacci.py
```

# User
<stdout>
     1  import argparse
     2  def fibonnacci(n):
     3      if n <= 0:
     4          return 0
     5      elif n == 1:
     5          return 1
     7      else:
     8          return fibonnacci(n-1) + fibonnacci(n-2)
     9 
    10 if __name__ == "__main__":
    11     parser = argparse.ArgumentParser()
    12     parser.add_argument("--n", type=int, default=10)
    13     args = parser.parse_args()
    14     print(fibonnacci(args.n))
</stdout>

# Assistant
```bash
python fibonnacci.py --n 15
```

# User
<stdout>
55
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/git_commit_simple.md (markdown)
# Assistant <NO_EVAL>
```bash
git commit -am "Added sampling scripts for diffusion and maskgit baselines"
```

# User
<stdout>
black....................................................................Failed
- hook id: black
- files were modified by this hook

reformatted jasmine/baselines/diffusion/sample_diffusion.py
reformatted jasmine/baselines/maskgit/sample_maskgit.py

All done! ✨ 🍰 ✨
2 files reformatted.
</stdout>

# Assistant <EVAL>
```bash
git commit -am "Added sampling scripts for diffusion and maskgit baselines"
```

# User
<stdout>
black....................................................................Passed
[chore/refactor-diffusion-branch cf058bf] Added sampling scripts for diffusion and maskgit baselines
 2 files changed, 72 insertions(+)!
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/git_new_pr.md (markdown)
# Assistant <NO_EVAL>
```bash
git checkout -b "feat/new-handcrafted-tasks"
```

# User
<stdout>
Switched to a new branch 'feat/new-handcrafted-tasks'
</stdout>

# Assistant <NO_EVAL>
```bash
git status
```

# User
<stdout>
On branch feat/new-handcrafted-tasks
Untracked files:
  (use "git add <file>..." to include in what will be committed)
        data/eval/handcrafted/git_commit_simple.md
        data/eval/handcrafted/git_pull_simple.md
        data/eval/handcrafted/git_push_simple.md
        data/temp/
        uv.lock

nothing added to commit but untracked files present (use "git add" to track)
</stdout>

# Assistant <NO_EVAL>
```bash
git add data/eval/handcrafted/
```

# User
<stdout>
</stdout>

# Assistant <EVAL>
```bash
git commit -m "created more examples"
```

# User
<stdout>
[feat/new-handcrafted-tasks db256f1] created more examples
 3 files changed, 108 insertions(+)
 create mode 100644 data/eval/handcrafted/git_commit_simple.md
 create mode 100644 data/eval/handcrafted/git_pull_simple.md
 create mode 100644 data/eval/handcrafted/git_push_simple.md
</stdout>

# Assistant <NO_EVAL>
```bash
git push
```

# User
<stdout>
fatal: The current branch feat/new-handcrafted-tasks has no upstream branch.
To push the current branch and set the remote as upstream, use

    git push --set-upstream origin feat/new-handcrafted-tasks

To have this happen automatically for branches without a tracking
upstream, see 'push.autoSetupRemote' in 'git help config'.
</stdout>

# Assistant <EVAL>
```bash
git push --set-upstream origin feat/new-handcrafted-tasks
```

# User
<stdout>
Enumerating objects: 12, done.
Counting objects: 100% (12/12), done.
Delta compression using up to 64 threads
Compressing objects: 100% (7/7), done.
Writing objects: 100% (8/8), 1.54 KiB | 394.00 KiB/s, done.
Total 8 (delta 3), reused 0 (delta 0), pack-reused 0 (from 0)
remote: Resolving deltas: 100% (3/3), completed with 2 local objects.
remote: 
remote: Create a pull request for 'feat/new-handcrafted-tasks' on GitHub by visiting:
remote:      https://github.com/p-doom/tab-model-eval/pull/new/feat/new-handcrafted-tasks
remote: 
To github.com:p-doom/tab-model-eval.git
 * [new branch]      feat/new-handcrafted-tasks -> feat/new-handcrafted-tasks
branch 'feat/new-handcrafted-tasks' set up to track 'origin/feat/new-handcrafted-tasks'.
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/git_pull_simple.md (markdown)
# Assistant <NO_EVAL>
```bash
git push
```

# User
<stdout>
 ! [rejected]        dev/ali -> dev/ali (fetch first)
error: failed to push some refs to 'github.com:p-doom/tab-model-eval.git'
hint: Updates were rejected because the remote contains work that you do not
hint: have locally. This is usually caused by another repository pushing to
hint: the same ref. If you want to integrate the remote changes, use
hint: 'git pull' before pushing again.
hint: See the 'Note about fast-forwards' in 'git push --help' for details.
</stdout>

# Assistant <EVAL>
```bash
git pull
```

# User
<stdout>
remote: Enumerating objects: 13, done.
remote: Counting objects: 100% (13/13), done.
remote: Compressing objects: 100% (5/5), done.
remote: Total 5 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0)
Unpacking objects: 100% (5/5), 1.18 KiB | 20.00 KiB/s, done.
From github.com:p-doom/tab-model-eval
   9cb411a..9d8e833  dev/ali    -> origin/dev/ali
Updating 9cb411a..9d8e833
Fast-forward
 src/input_pipeline/trace_to_testcases.py | 1 +
 1 file changed, 1 insertion(+)
</stdout>

# Assistant <EVAL>
```bash
git push
```

# User
<stdout>
Everything up-to-date
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/hello_world.md (markdown)
# Assistant
```bash
ls -la
```

# User
<stdout>
total 336
drwxrwx--- 3 alfred.nguyen alfred.nguyen   318 Nov 13 18:05 .
drwxr-xr-x 9 alfred.nguyen alfred.nguyen   171 Nov 12 15:29 ..
</stdout>

# Assistant
```bash
cat <<'EOF' > hello_world.py
print("Hello, World!")
EOF && cat -n hello_world.py
```

# User
<stdout>
     1  print("Hello, World!")
</stdout>

# Assistant
```bash
python hello_world.py
```

# User
<stdout>
Hello, World!
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/hello_world_insert.md (markdown)
# Assistant
```bash
ls -la
```

# User
<stdout>
total 336
drwxrwx--- 3 alfred.nguyen alfred.nguyen   318 Nov 13 18:05 .
drwxr-xr-x 9 alfred.nguyen alfred.nguyen   171 Nov 12 15:29 ..
-rw-rw---- 1 alfred.nguyen alfred.nguyen     0 Nov 13 18:05 hello_world.py
</stdout>

# Assistant
```bash
cat -n hello_world.py
```

# User
<stdout>
     1  print("")
</stdout>

# Assistant
```bash
sed -i 's/^print("")/print("Hello, World!")/' hello_world.py && cat -n hello_world.py
```

# User
<stdout>
     1  print("Hello, World!")
</stdout>

# Assistant
```bash
python hello_world.py
```

# User
<stdout>
Hello, World!
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/palindrome.md (markdown)
# Assistant
```bash
ls -la
```

# User
<stdout>
total 336
drwxrwx--- 3 alfred.nguyen alfred.nguyen   318 Nov 13 18:05 .
drwxr-xr-x 9 alfred.nguyen alfred.nguyen   171 Nov 12 15:29 ..
</stdout>

# Assistant
```bash
cat <<'EOF' > palindrome_checker.py
def is_palindrome(text):
    text = text.lower().replace(" ", "")
    return text == text[::-1]

if __name__ == "__main__":
    import argparse
    parser = argparse.ArgumentParser(description="Check if text is a palindrome")
    parser.add_argument("text", help="Text to check")
    args = parser.parse_args()
    if is_palindrome(args.text):
        print(f'"{args.text}" is a palindrome')
    else:
        print(f'"{args.text}" is not a palindrome')
EOF && cat -n palindrome_checker.py
```

# User
<stdout>
     1  def is_palindrome(text):
     2      text = text.lower().replace(" ", "")
     3      return text == text[::-1]
     4 
     5  if __name__ == "__main__":
     6      import argparse
     7      parser = argparse.ArgumentParser(description="Check if text is a palindrome")
     8      parser.add_argument("text", help="Text to check")
     9      args = parser.parse_args()
    10      if is_palindrome(args.text):
    11          print(f'"{args.text}" is a palindrome')
    12      else:
    13          print(f'"{args.text}" is not a palindrome')
</stdout>

# Assistant
```bash
python palindrome_checker.py racecar
```

# User
<stdout>
"racecar" is a palindrome
</stdout>

# Assistant
```bash
python palindrome_checker.py hello
```

# User
<stdout>
"hello" is not a palindrome
</stdout>
[tab] tab-model-eval/data/eval/legacy/fibonacci_cached.md (markdown)
# Assistant
```bash
ls -la
```

# User
<stdout>
total 336
drwxrwx--- 3 alfred.nguyen alfred.nguyen   318 Nov 13 18:05 .
drwxr-xr-x 9 alfred.nguyen alfred.nguyen   171 Nov 12 15:29 ..
</stdout>

# Assistant
```bash
cat <<'EOF' > fibonnacci.py && cat -n fibonnacci.py
import argparse

def fibonnacci(n):
    if n <= 0:
        return 0
    elif n == 1:
        return 1
    else:
        return fibonnacci(n-1) + fibonnacci(n-2)

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--n", type=int, default=10)
    args = parser.parse_args()
    print(fibonnacci(args.n))
EOF
```

# User
<stdout>
     1  import argparse
     2  def fibonnacci(n):
     3      if n <= 0:
     4          return 0
     5      elif n == 1:
     5          return 1
     7      else:
     8          return fibonnacci(n-1) + fibonnacci(n-2)
     9 
    10 if __name__ == "__main__":
    11     parser = argparse.ArgumentParser()
    12     parser.add_argument("--n", type=int, default=10)
    13     args = parser.parse_args()
    14     print(fibonnacci(args.n))
</stdout>

# Assistant
```bash
python fibonnacci.py --n 15
```

# User
<stdout>
55
</stdout>

# Assistant
```bash
# add a cache decorator to the fibonnacci function
sed -i '1s/^/from functools import cache
/' fibonnacci.py && cat -n fibonnacci.py
```

# User
<stdout>
     1  from functools import cache
     2  import argparse
     3
     4  def fibonnacci(n):
     5      if n <= 0:
     6          return 0
     7      elif n == 1:
     8          return 1
     9      else:
    10          return fibonnacci(n-1) + fibonnacci(n-2)
    11
    12  if __name__ == "__main__":
    13      parser = argparse.ArgumentParser()
    14      parser.add_argument("--n", type=int, default=10)
    15      args = parser.parse_args()
    16      print(fibonnacci(args.n))
</stdout>

# Assistant
```bash
sed -i '4s/^/@cache
/' fibonnacci.py && cat -n fibonnacci.py
```

# User
<stdout>
     1  from functools import cache
     2  import argparse
     3
     4  @cache
     5  def fibonnacci(n):
     6      if n <= 0:
     7          return 0
     8      elif n == 1:
     9          return 1
    10      else:
    11          return fibonnacci(n-1) + fibonnacci(n-2)
    12
    13  if __name__ == "__main__":
    14      parser = argparse.ArgumentParser()
    15      parser.add_argument("--n", type=int, default=10)
    16      args = parser.parse_args()
    17      print(fibonnacci(args.n))
</stdout>

# Assistant
```bash
python fibonnacci.py --n 15
```

# User
<stdout>
55
</stdout>
[tab] tab-model-eval/data/eval/legacy/palindrome.md (markdown)
# Assistant
```bash
ls -la
```

# User
<stdout>
total 336
drwxrwx--- 3 alfred.nguyen alfred.nguyen   318 Nov 13 18:05 .
drwxr-xr-x 9 alfred.nguyen alfred.nguyen   171 Nov 12 15:29 ..
</stdout>

# Assistant
```bash
cat <<'EOF' > palindrome_checker.py
def is_palindrome(text):
    text = text.lower().replace(" ", "")
    return text == text[::-1]

if __name__ == "__main__":
    import argparse
    parser = argparse.ArgumentParser(description="Check if text is a palindrome")
    parser.add_argument("text", help="Text to check")
    args = parser.parse_args()
    if is_palindrome(args.text):
        print(f'"{args.text}" is a palindrome')
    else:
        print(f'"{args.text}" is not a palindrome')
EOF && cat -n palindrome_checker.py
```

# User
<stdout>
     1  def is_palindrome(text):
     2      text = text.lower().replace(" ", "")
     3      return text == text[::-1]
     4 
     5  if __name__ == "__main__":
     6      import argparse
     7      parser = argparse.ArgumentParser(description="Check if text is a palindrome")
     8      parser.add_argument("text", help="Text to check")
     9      args = parser.parse_args()
    10      if is_palindrome(args.text):
    11          print(f'"{args.text}" is a palindrome')
    12      else:
    13          print(f'"{args.text}" is not a palindrome')
</stdout>

# Assistant
```bash
python palindrome_checker.py racecar
```

# User
<stdout>
"racecar" is a palindrome
</stdout>

# Assistant
```bash
python palindrome_checker.py hello
```

# User
<stdout>
"hello" is not a palindrome
</stdout>
[tab] tab-model-eval/data/eval/legacy/simple_calc.md (markdown)
# User 
Create a simple calculator program that can add, subtract, multiply, and divide two numbers.

# Assistant
```bash
cat <<'EOF' > calculator.py
def add(a, b):
    return a + b

def subtract(a, b):
    return a - b

def multiply(a, b):
    return a * b

def divide(a, b):
    if b == 0:
        return "Error: Division by zero"
    return a / b

if __name__ == "__main__":
    import argparse
    parser = argparse.ArgumentParser(description="Simple calculator")
    parser.add_argument("operation", choices=["add", "subtract", "multiply", "divide"])
    parser.add_argument("a", type=float)
    parser.add_argument("b", type=float)
    args = parser.parse_args()

    if args.operation == "add":
        result = add(args.a, args.b)
    elif args.operation == "subtract":
        result = subtract(args.a, args.b)
    elif args.operation == "multiply":
        result = multiply(args.a, args.b)
    else:
        result = divide(args.a, args.b)

    print(result)
EOF && cat -n calculator.py
```

# User
<stdout>
     1  def add(a, b):
     2      return a + b
     3
     4  def subtract(a, b):
     5      return a - b
     6
     7  def multiply(a, b):
     8      return a * b
     9
     10  def divide(a, b):
     11      if b == 0:
     12          return "Error: Division by zero"
     13      return a / b
     14
     15  if __name__ == "__main__":
     16      import argparse
     17      parser = argparse.ArgumentParser(description="Simple calculator")
     18      parser.add_argument("operation", choices=["add", "subtract", "multiply", "divide"])
     19      parser.add_argument("a", type=float)
     20      parser.add_argument("b", type=float)
     21      args = parser.parse_args()
     22
     23      if args.operation == "add":
     24          result = add(args.a, args.b)
     25      elif args.operation == "subtract":
     26          result = subtract(args.a, args.b)
     27      elif args.operation == "multiply":
     28          result = multiply(args.a, args.b)
     29      else:
     30          result = divide(args.a, args.b)
     31
     32      print(result)
</stdout>

# Assistant
```bash
python calculator.py add 5 3
```

# User
<stdout>
8
</stdout>

# Assistant
```bash
python calculator.py subtract 9 4
```

# User
<stdout>
5
</stdout>

# Assistant
```bash
python calculator.py multiply 4 7
```

# User
<stdout>
28
</stdout>

# Assistant
```bash
python calculator.py divide 5 2
```

# User
<stdout>
2.5
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/fix_syntax_error.md (markdown)
# Assistant <NO_EVAL>
```bash
python src/train.py
```

# User
<stdout>
  File "src/train.py", line 14
    print(f"Training started at {time.time()}"
                                              ^
SyntaxError: '(' was never closed
</stdout>

# Assistant <EVAL>
```bash
cat -n src/train.py
```

# User
<stdout>
    10  
    11  def train(args):
    12      # Initialize model
    13      model = Model(args)
    14      print(f"Training started at {time.time()}"
    15  
    16      for epoch in range(args.epochs):
    17          train_one_epoch(model)
</stdout>

# Assistant <EVAL>
```bash
sed -i '14s/$/)/' src/train.py && cat -n src/train.py | sed -n '11,17p'
```

# User
<stdout>
    11  def train(args):
    12      # Initialize model
    13      model = Model(args)
    14      print(f"Training started at {time.time()}")
    15  
    16      for epoch in range(args.epochs):
    17          train_one_epoch(model)
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/grep_search.md (markdown)
# Assistant <NO_EVAL>
```bash
python src/main.py
```

# User
<stdout>
Traceback (most recent call last):
  File "src/main.py", line 5, in <module>
    from utils import load_config
ImportError: cannot import name 'load_config' from 'utils'
</stdout>


# Assistant <EVAL>
```bash
grep -r "def load_config" src/
```

# User
<stdout>
src/common/config_utils.py:def load_config(path):
</stdout>

# Assistant <EVAL>
```bash
sed -i 's/from utils import load_config/from common.config_utils import load_config/' src/main.py && cat -n src/main.py | sed -n '1,10p'
```

# User
<stdout>
     1  import os
     2  import sys
     3  
     4  # Load configuration
     5  from common.config_utils import load_config
     6  
     7  def main():
     8      config = load_config("config.yaml")
     9      print(f"Loaded config: {config}")
    10
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/run_test_fix.md (markdown)
# Assistant <NO_EVAL>
```bash
pytest tests/test_math.py
```

# User
<stdout>
============================= test session starts ==============================
collected 1 item

tests/test_math.py F                                                     [100%]

=================================== FAILURES ===================================
_________________________________ test_add __________________________________

    def test_add():
>       assert add(2, 2) == 5
E       assert 4 == 5

tests/test_math.py:5: AssertionError
=========================== 1 failed in 0.03s ============================
</stdout>

# Assistant <EVAL>
```bash
cat -n tests/test_math.py
```

# User
<stdout>
     1  from src.math_utils import add
     2  
     3  def test_add():
     4      # Basic addition test
     5      assert add(2, 2) == 5
     6      assert add(1, 1) == 2
</stdout>

# Assistant <EVAL>
```bash
sed -i 's/assert add(2, 2) == 5/assert add(2, 2) == 4/' tests/test_math.py && pytest tests/test_math.py
```

# User
<stdout>
============================= test session starts ==============================
collected 1 item

tests/test_math.py .                                                     [100%]

============================== 1 passed in 0.01s ===============================
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/fix_import_path.md (markdown)
# Assistant <NO_EVAL>
```bash
python src/main.py
```

# User
<stdout>
Traceback (most recent call last):
  File "src/main.py", line 5, in <module>
    from utils import load_config
ImportError: cannot import name 'load_config' from 'utils'
</stdout>


# Assistant <EVAL>
```bash
cat -n src/common/config_utils.py
```

# User
<stdout>
     1  import yaml
     2  
     3  def load_config(path):
     4      with open(path, 'r') as f:
     5          return yaml.safe_load(f)
</stdout>

# Assistant <EVAL>
```bash
sed -i 's/from utils import load_config/from common.config_utils import load_config/' src/main.py && cat -n src/main.py | sed -n '1,10p'
```

# User
<stdout>
     1  import os
     2  import sys
     3  
     4  # Load configuration
     5  from common.config_utils import load_config
     6  
     7  def main():
     8      config = load_config("config.yaml")
     9      print(f"Loaded config: {config}")
    10
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/add_type_hints.md (markdown)
# Assistant <NO_EVAL>
```bash
cat -n src/utils/math.py
```

# User
<stdout>
     1  def calculate_area(radius):
     2      pi = 3.14159
     3      return pi * (radius ** 2)
     4  
     5  def calculate_circumference(radius):
     6      pi = 3.14159
     7      return 2 * pi * radius
</stdout>

# Assistant <EVAL>
```bash
sed -i 's/def calculate_area(radius):/def calculate_area(radius: float) -> float:/' src/utils/math.py && cat -n src/utils/math.py | sed -n '1,4p'
```

# User
<stdout>
     1  def calculate_area(radius: float) -> float:
     2      pi = 3.14159
     3      return pi * (radius ** 2)
     4
</stdout>

# Assistant <EVAL>
```bash
sed -i 's/def calculate_circumference(radius):/def calculate_circumference(radius: float) -> float:/' src/utils/math.py && cat -n src/utils/math.py | sed -n '5,8p'
```

# User
<stdout>
     5  def calculate_circumference(radius: float) -> float:
     6      pi = 3.14159
     7      return 2 * pi * radius
</stdout>
[tab] tab-model-eval/data/eval/handcrafted/variable_rename.md (markdown)
# Assistant <NO_EVAL>
```bash
cat -n src/process.py
```

# User
<stdout>
     1  import json
     2  import os
     3  
     4  def load_data(path):
     5      with open(path) as f:
     6          return json.load(f)
     7  
     8  def process_data(d):
     9      # Process the data dictionary
    10      if "id" in d:
    11          return d["id"]
    12      return None
    13  
    14  def save_data(data, path):
    15      with open(path, 'w') as f:
    16          json.dump(data, f)
</stdout>

# Assistant <EVAL>
```bash
sed -i 's/\bd\b/data_item/g' src/process.py && cat -n src/process.py | sed -n '6,15p'
```

# User
<stdout>
     6          return json.load(f)
     7  
     8  def process_data(data_item):
     9      # Process the data dictionary
    10      if "id" in data_item:
    11          return data_item["id"]
    12      return None
    13  
    14  def save_data(data, path):
    15      with open(path, 'w') as f:
</stdout>
[content] tab-model-eval/data/eval/handcrafted/add_type_hints.md (markdown)
:
    15      return (4/3) * PI * (radius ** 3)
</stdout>

# Assistant <EVAL>
```bash
sed -i '14,14c\def calculate_volume(radius: float) -> float:' src/utils/math.py && cat -n src/utils/math.py | sed -n '10,15p'
```

# User
<stdout>
    10  def calculate_circumference(radius: float) -> float:
    11      pi = PI
    12      return 2 * pi * radius
    13  
    14  def calculate_volume(radius: float) -> float
[content] tab-model-eval/data/eval/handcrafted/add_type_hints.md (markdown)
mypy src/utils/math.py
```

# User
<stdout>
src/utils/math.py:6: error: Function is missing a type annotation
src/utils/math.py:10: error: Function is missing a type annotation
src/utils/math.py:14: error: Fun
[tab] tab-model-eval/data/eval/legacy/hello_world.md (markdown)
# Assistant
```bash
ls -la
```

# User
<stdout>
total 336
drwxrwx--- 3 alfred.nguyen alfred.nguyen   318 Nov 13 18:05 .
drwxr-xr-x 9 alfred.nguyen alfred.nguyen   171 Nov 12 15:29 ..
</stdout>

# Assistant
```bash
cat <<'EOF' > hello_world.py
print("Hello, World!")
EOF && cat -n hello_world.py
```

# User
<stdout>
     1  print("Hello, World!")
</stdout>

# Assistant
```bash
python hello_world.py
```

# User
<stdout>
Hello, World!
</stdout>
[content] tab-model-eval/src/evaluation/sglang_eval.py (python)
        if os.path.exists(metadata_file):
            # Avoid overwriting existing metadata for the same run_id
            print(f"Metadata file already exists for run_id={run_id} at {metadata_file}. "
                  f"Existing metadata will be reused.")
        else:
            with open(metadata_file, "w") as f:
                json.dump({
                    "run_id": run_id,
                    "run_name": run_name,
                    "project": project,
                    "config": config,
                    "tags": tags,
                    "created_at": time.strftime("%Y-%m-%dT%H:%M:%S")
                }, f, indent=2)
[content] tab-model-eval/src/evaluation/sglang_eval.py (python)

class LocalLogger:
    """A simple local logger that saves metrics to JSON files for later sync to wandb."""
    
    def __init__(self, log_dir: str, run_id: str, run_name: str, project: str, config: dict = None, tags: list = None):
        self.log_dir = os.path.join(log_dir, run_id)
        os.makedirs(self.log_dir, exist_ok=True)
        self.run_id = run_id
        self.run_name = run_name
        self.project = project
        self.config = config or {}
        self.tags = tags or []
        self.metrics_file = os.path.join(self.log_dir, "metrics.jsonl")
        
        # Save run metadata
        metadata_file = os.path.join(self.log_dir, "metadata.json")
        if os.path.exists(metadata_file):
            # Avoid overwriting existing metadata for the same run_id
            print(f"Metadata file already exists for run_id={run_id} at {metadata_file}. "
                  f"Existing metadata will be reused.")
        else:
            with open(metadata_file, "w") as f:
                json.dump({
                    "run_id": run_id,
                    "run_name": run_name,
                    "project": project,
                    "config": config,
                    "tags": tags,
                    "created_at": time.strftime("%Y-%m-%dT%H:%M:%S")
                }, f, indent=2) 
        print(f"LocalLogger initialized. Logs will be saved to: {self.log_dir}")
    
    def log(self, metrics: dict):
        """Append metrics to the JSONL file."""
        metrics_with_timestamp = {
            "timestamp": time.strftime("%Y-%m-%dT%H:%M:%S"),
            **metrics
        }
        with open(self.metrics_file, "a") as f:
            f.write(json.dumps(metrics_with_timestamp) + "
")
        print(f"Logged metrics to {self.metrics_file}: eval_step={metrics.get('eval_step', 'N/A')}")
    
    def finish(self):
        """Called when logging is complete."""
        print(f"LocalLogger finished. All logs saved to: {self.log_dir}")
[content] tab-model-eval/src/evaluation/sglang_eval.py (python)
    # Initialize logger (local or wandb)
    logger = None
    if args.use_local_logger:
        run_id = args.wandb_id or args.wandb_name
        logger = LocalLogger(
            log_dir=args.local_log_dir,
            run_id=run_id,
            run_name=args.wandb_name,
            project=args.wandb_project,
            config=metadata,
            tags=args.wandb_tags,
        )
    else:
        wandb_init_kwargs = {
            "project": args.wandb_project,
            "name": args.wandb_name,
            "tags": args.wandb_tags,
            "group": args.wandb_group,
            "config": metadata,
        }

        if args.wandb_id:
            wandb_init_kwargs.update(
                {
                    "id": args.wandb_id,
                    "resume": "allow",
                }
            )
        wandb.init(**wandb_init_kwargs)
[content] tab-model-eval/src/evaluation/sglang_eval.py (python)
    # Prepare metrics to log
    metrics_to_log = {
        "eval_step": args.eval_step,
        f"{args.wandb_eval_type}/total_test_cases": len(test_cases),
        f"{args.wandb_eval_type}/num_samples_per_task": loaded_data["config_generations"][
            "num_samples"
        ],
        f"{args.wandb_eval_type}/total_judge_avg_at_n": total_judge_avg_at_n,
        f"{args.wandb_eval_type}/total_judge_pass_at_n": total_judge_pass_at_n,
        f"{args.wandb_eval_type}/total_exact_match_avg_at_n": total_exact_match_avg_at_n,
        f"{args.wandb_eval_type}/total_exact_match_pass_at_n": total_exact_match_pass_at_n,
    }
    
    # Log metrics using appropriate logger
    if args.use_local_logger:
        logger.log(metrics_to_log)
    else:
        wandb.log(metrics_to_log)
[content] tab-model-eval/src/evaluation/sglang_eval.py (python)
    wandb_id: str | None = None
    wandb_group: str = "debug"
    
    # Single-file mode (backward compatible)
    generations_file: str = ""
    evaluations_file: str = ""
    eval_step: int = 0
    
    # Batch mode: comma-separated lists of files and steps
    # When these are provided, they take precedence over single-file args
    generations_files: str = ""  # Comma-separated list of generation files
    evaluations_files: str = ""  # Comma-separated list of evaluation output files
    eval_steps: str = ""  # Comma-separated list of eval steps (integers)
[content] tab-model-eval/src/evaluation/sglang_eval.py (python)
    # Prepare metrics to log
    metrics_to_log = {
        "eval_step": eval_step,
        f"{args.wandb_eval_type}/total_test_cases": len(test_cases),
        f"{args.wandb_eval_type}/num_samples_per_task": loaded_data["config_generations"][
            "num_samples"
        ],
        f"{args.wandb_eval_type}/total_judge_avg_at_n": total_judge_avg_at_n,
        f"{args.wandb_eval_type}/total_judge_pass_at_n": total_judge_pass_at_n,
        f"{args.wandb_eval_type}/total_exact_match_avg_at_n": total_exact_match_avg_at_n,
        f"{args.wandb_eval_type}/total_exact_match_pass_at_n": total_exact_match_pass_at_n,
    }
    
    # Log metrics using appropriate logger
    if args.use_local_logger and logger is not None:
        logger.log(metrics_to_log)
    else:
        wandb.log(metrics_to_log)