try:

nm_output = subprocess.check_output(['nm', executable_path], universal_newlines=True)

# Assuming the output format is like "address T symbol_name"

for line in nm_output.splitlines():

parts = line.split()

if len(parts) >= 3 and parts[2] == symbol_name:

offset_hex = parts[0]

# Convert hex offset to an integer

offset = int(offset_hex, 16)

return offset

return None

except subprocess.CalledProcessError:

try:

result = subprocess.check_output(['addr2line', '-e', executable, '-f', '-C', '-i', address],

universal_newlines=True, stderr=subprocess.PIPE)

return result.strip().splitlines()

except subprocess.CalledProcessError as e:

# Read the executable name and addresses from the profiling data file

with open(file_path, 'r') as file:

lines = file.readlines()

[executable, entryMainAddr] = lines[0].strip().split()

offset = int(entryMainAddr, 16) - get_symbol_offset(executable, 'entryMain')

address_lines = [address.strip().split() for address in lines[1:] if address.strip()]

addresses = list(set([a for ads in address_lines for a in ads]))

total_lines = len(lines) - 1

# Analyze and print the results

results = []

for address in tqdm(addresses):

symbol_info = get_symbol_name(executable, hex(int(address, 16) - offset))

symbol_name = symbol_info[0] if len(symbol_info) > 0 else 'Unknown Symbol'

self_time = (len([0 for al in address_lines if al[0] == address]) / total_lines) * 100

other_time = (len([0 for al in address_lines if al[0] != address and address in al]) / total_lines) * 100

all_times = (len([0 for al in address_lines if address in al]) / total_lines) * 100

results.append({

'Address': address,

'Symbol Name': symbol_name,

'Self Time (%)': f'{self_time:.4f}',

'Other Time (%)': f'{other_time:.4f}',

'All Times (%)': f'{all_times:.4f}'

})

# Sort results by self time in descending order

results.sort(key=lambda x: (float(x['Self Time (%)']), float(x['Other Time (%)'])), reverse=True)

# Print the results

# # if not using tabulate:

# for result in results:

# print(result)

max_symbol_name_length = 30

# Create a list of lists for tabulate

table_data = [

[result['Address'], result['Symbol Name'], result['Self Time (%)'], result['Other Time (%)'], result['All Times (%)']]

for result in results

]

# Specify the headers

headers = ['Address', 'Symbol Name', 'Self Time (%)', 'Other Time (%)', 'All Times (%)']

# Print the table