The code below here is what GPT4o tells me that can solve my problem
This code is primarily designed to parse a specific configuration file format, similar to INI files.** It reads an input file, identifies sections and properties within it, and merges sections based on certain rules. Finally, it writes the processed results to a new output file.
import re # Used for regular expression processing
# Define a dictionary to store section information,
# where each section name corresponds to a dictionary storing its properties and values
sections = {}
# Open and read the file
with open('rules_develop.ini', 'r') as f:
current_section = None # The section currently being processed
for line in f:
line = line.strip() # Remove leading and trailing whitespace characters
if not line or line.startswith(';') or line.startswith('#'):
continue # Skip empty lines and comment lines
# If it's a new section name ([X] or [X]:[Y] format)
match = re.match(r'\[([^\]]+)\]', line)
if match:
section_name = match.group(1)
# Handle the case of [X]:[Y]
if ':' in section_name:
parent, child = section_name.split(':')
parent, child = parent.strip(), child.strip()
if child in sections: # If an independent [Y] section exists
# Copy all properties of the independent [Y] section to [X]
sections[parent] = sections.get(parent, {}).copy()
sections[parent].update(sections[child]) # Merge properties
current_section = parent
else:
current_section = section_name # If [Y] section does not exist, keep the name [X]:[Y]
else:
current_section = section_name # Handle a normal [X] section
sections[current_section] = sections.get(current_section, {})
else:
# If it's a property (key=value)
if '=' in line and current_section:
key, value = line.split('=', 1)
sections[current_section][key.strip()] = value.strip()
# Write the result to a new file
with open('output.ini', 'w') as f:
for section_name, properties in sections.items():
f.write(f'[{section_name}]\n') # Write the section name
for key, value in properties.items():
f.write(f'{key}={value}\n') # Write the properties
f.write('\n') # Add a blank line between sections
It says that the output is as follows, but the result I get when running the Python code is completely different from the expected result.
It tells me that the expected result is indeed correct, but the Python code it provided produces a result that is different from the expected outcome. I have tested it more than twenty times and even used Claude and Gemini to test it. They all told me that the code provided by GPT should produce the correct expected result. However, when I run this code with the same input multiple times, the result is always incorrect. I even had a few friends try running the code provided by GPT, and their results were the same as mine—incorrect compared to the expected outcome, which at least indicates that it’s not just my issue.
This indicates one thing—GPT can fully understand my requirements, but it lacks the ability to translate that understanding into correct code, or it has some misunderstanding. It’s even possible that GPT, along with other large language models like Claude and Gemini, is falling into the same misunderstanding, leading to errors in the interpretation of the code.
Could anyone try this input and the python code. and see if it can turn out the true expected output it claimed?
input
[E2]
Speed=1
IsGod=yes
[E1]
IsHero=yes
[E4]:[E2]
Go=yes
[E3]:[E1]
IsHero=no
Speed=8
Go=no
true and expected output
[E2]
Speed=1
IsGod=yes
[E1]
IsHero=yes
[E4]
Speed=1
IsGod=yes
Go=yes
[E3]
IsHero=no
Speed=8
Go=no