Initial Query

Write a python function `dedent(str)` that takes as input a string of python code and de-dents it maximally. Lines that are entirely blank don't count.

LLM Generation

Query

Write a python function `dedent(str)` that takes as input a string of python code and de-dents it maximally. Lines that are entirely blank don't count.

Output

To solve this problem, we need to write a Python function `dedent` that takes a string of Python code and dedents it maximally. The goal is to remove the maximum possible leading whitespace from each line such that no line ends up with negative indentation. Lines that are entirely blank should not affect the calculation of the minimum indentation. ### Approach 1. **Split the Input String**: First, split the input string into individual lines using the newline character `\n`. 2. **Calculate Leading Whitespace**: For each non-blank line, compute the length of the leading whitespace. This is done by comparing the length of the original line with the length of the line after removing leading whitespace. 3. **Determine Minimum Indentation**: Find the minimum leading whitespace length among all non-blank lines. This value determines how much indentation can be safely removed from each line. 4. **Process Each Line**: For each line, if it is blank, leave it unchanged. Otherwise, remove the calculated minimum indentation from the start of the line. 5. **Reconstruct the String**: Join the processed lines back into a single string using newline characters. ### Solution Code 

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def dedent(s):
    lines = s.split('\n')
    leading_whitespaces = []
    
    # Calculate leading whitespace for each non-blank line
    for line in lines:
        stripped = line.lstrip()
        if stripped:  # line is not blank
            leading_length = len(line) - len(stripped)
            leading_whitespaces.append(leading_length)
    
    # Determine the minimum leading whitespace (default to 0 if all lines are blank)
    min_leading = min(leading_whitespaces) if leading_whitespaces else 0
    
    processed_lines = []
    for line in lines:
        stripped = line.lstrip()
        if not stripped:  # blank line, leave as is
            processed_lines.append(line)
        else:
            # Remove the minimal leading whitespace
            processed_line = line[min_leading:]
            processed_lines.append(processed_line)
    
    return '\n'.join(processed_lines)
### Explanation - **Splitting the Input**: The input string is split into lines to process each line individually. - **Calculating Leading Whitespace**: For each non-blank line, the difference between the original line length and the length after removing leading whitespace gives the number of leading whitespace characters. - **Finding Minimum Indentation**: The smallest leading whitespace value from non-blank lines determines how much indentation can be removed from each line. - **Processing Lines**: Each non-blank line has the calculated minimum indentation removed. Blank lines are left unchanged to preserve their structure. - **Reconstructing the String**: The processed lines are joined back into a single string with newline characters, resulting in a maximally dedented code string. This approach ensures that the code is dedented as much as possible while maintaining the structure provided by blank lines.

Extract Code

I extracted the following code from that output: 

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def dedent(s):
    lines = s.split('\n')
    leading_whitespaces = []
    
    # Calculate leading whitespace for each non-blank line
    for line in lines:
        stripped = line.lstrip()
        if stripped:  # line is not blank
            leading_length = len(line) - len(stripped)
            leading_whitespaces.append(leading_length)
    
    # Determine the minimum leading whitespace (default to 0 if all lines are blank)
    min_leading = min(leading_whitespaces) if leading_whitespaces else 0
    
    processed_lines = []
    for line in lines:
        stripped = line.lstrip()
        if not stripped:  # blank line, leave as is
            processed_lines.append(line)
        else:
            # Remove the minimal leading whitespace
            processed_line = line[min_leading:]
            processed_lines.append(processed_line)
    
    return '\n'.join(processed_lines)

Run Code Interpreter

Running the following program: 

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def dedent(s):
    lines = s.split('\n')
    leading_whitespaces = []
    
    # Calculate leading whitespace for each non-blank line
    for line in lines:
        stripped = line.lstrip()
        if stripped:  # line is not blank
            leading_length = len(line) - len(stripped)
            leading_whitespaces.append(leading_length)
    
    # Determine the minimum leading whitespace (default to 0 if all lines are blank)
    min_leading = min(leading_whitespaces) if leading_whitespaces else 0
    
    processed_lines = []
    for line in lines:
        stripped = line.lstrip()
        if not stripped:  # blank line, leave as is
            processed_lines.append(line)
        else:
            # Remove the minimal leading whitespace
            processed_line = line[min_leading:]
            processed_lines.append(processed_line)
    
    return '\n'.join(processed_lines)





answer = dedent('''    print("hello")
    print("world")

    if True:
        print("true")
    else:
        print("false")''')
expected = """print("hello")
print("world")

if True:
    print("true")
else:
    print("false")"""
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True