Function _parse_dmesg_output

numexpr3/cpuinfo.py:449–538

(output)

	return (processor_brand, hz_brand, scale, vendor_id, stepping, model, family)

def _parse_dmesg_output(output):
	try:
		# Get all the dmesg lines that might contain a CPU string
		lines = output.split(' CPU0:')[1:] + \
				output.split(' CPU1:')[1:] + \
				output.split(' CPU:')[1:] + \
				output.split('\nCPU0:')[1:] + \
				output.split('\nCPU1:')[1:] + \
				output.split('\nCPU:')[1:]
		lines = [l.split('\n')[0].strip() for l in lines]

		# Convert the lines to CPU strings
		cpu_strings = [_parse_cpu_string(l) for l in lines]

		# Find the CPU string that has the most fields
		best_string = None
		highest_count = 0
		for cpu_string in cpu_strings:
			count = sum([n is not None for n in cpu_string])
			if count > highest_count:
				highest_count = count
				best_string = cpu_string

		# If no CPU string was found, return {}
		if not best_string:
			return {}

		processor_brand, hz_actual, scale, vendor_id, stepping, model, family = best_string

		# Origin
		if '  Origin=' in output:
			fields = output[output.find('  Origin=') : ].split('\n')[0]
			fields = fields.strip().split()
			fields = [n.strip().split('=') for n in fields]
			fields = [{n[0].strip().lower() : n[1].strip()} for n in fields]
			#print('fields: ', fields)
			for field in fields:
				name = list(field.keys())[0]
				value = list(field.values())[0]
				#print('name:{0}, value:{1}'.format(name, value))
				if name == 'origin':
					vendor_id = value.strip('"')
				elif name == 'stepping':
					stepping = int(value.lstrip('0x'), 16)
				elif name == 'model':
					model = int(value.lstrip('0x'), 16)
				elif name in ['fam', 'family']:
					family = int(value.lstrip('0x'), 16)
		#print('FIELDS: ', (vendor_id, stepping, model, family))

		# Features
		flag_lines = []
		for category in ['  Features=', '  Features2=', '  AMD Features=', '  AMD Features2=']:
			if category in output:
				flag_lines.append(output.split(category)[1].split('\n')[0])

		flags = []
		for line in flag_lines: