mirror of https://github.com/zeldaret/mm.git
				
				
				
			
		
			
				
	
	
		
			200 lines
		
	
	
		
			6.4 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
			
		
		
	
	
			200 lines
		
	
	
		
			6.4 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
| #!/usr/bin/env python3
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| 
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| import argparse, math, os, re
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| 
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| script_dir = os.path.dirname(os.path.realpath(__file__))
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| root_dir = script_dir + "/../"
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| asm_dir = root_dir + "asm/non_matchings/overlays/actors"
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| build_dir = root_dir + "build/src/overlays/actors"
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| 
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| 
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| def get_num_instructions(f_path):
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|     with open(f_path) as f:
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|         f_lines = f.readlines()
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|     sum = 0
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|     for line in f_lines:
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|         if line.startswith("/* "):
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|             sum += 1
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|     return sum
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| 
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| 
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| def count_non_matching():
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|     overlays = {}
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| 
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|     for root, dirs, _ in os.walk(asm_dir):
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|         for actor_dir in dirs:
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|             total_size = 0
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|             max_size = -1
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|             ovl_path = os.path.join(root, actor_dir)
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|             num_files = 0
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| 
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|             actor_funcs = {}
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| 
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|             for f_name in os.listdir(ovl_path):
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|                 file_path = os.path.join(ovl_path, f_name)
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|                 file_size = get_num_instructions(file_path)
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| 
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|                 num_files += 1
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|                 total_size += file_size
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|                 if file_size > max_size:
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|                     max_size = file_size
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|                 actor_funcs[f_name] = file_size
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| 
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|             overlays[actor_dir] = {
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|                 "summary": (num_files, max_size, total_size, 
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|                     total_size / num_files),
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|                 "funcs": actor_funcs
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|             }
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|     
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|     return overlays
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| 
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| 
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| pattern_function = re.compile("^[0-9a-fA-F]+ <(.+)>:")
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| pattern_switchcase = re.compile("L[0-9a-fA-F]{8}")
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| 
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| def count_builded_funcs_and_instructions(f_path):
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|     f_lines = ""
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|     with open(f_path) as f:
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|         f_lines = f.readlines()
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|     
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|     current = ""
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|     funcs = {}
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|     for line in f_lines:
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|         if line.strip() == "":
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|             continue
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|         match_function = pattern_function.match(line)
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|         if match_function:
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|             func_name = match_function.group(1)
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|             if pattern_switchcase.match(func_name):
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|                 # this is not a real function tag.
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|                 # probably a case from a switch
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|                 # for example: <L80979A80>
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|                 continue
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|             current = func_name
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|             funcs[current] = 0
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|         elif current != "":
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|             funcs[current] += 1
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|     return funcs
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| 
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| 
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| def count_build():
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|     overlays = {}
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| 
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|     for root, dirs, _ in os.walk(build_dir):
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|         for actor_dir in dirs:
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|             total_size = 0
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|             max_size = -1
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|             ovl_path = os.path.join(root, actor_dir)
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|             num_files = 0
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| 
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|             actor_funcs = {}
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| 
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|             for f_name in os.listdir(ovl_path):
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|                 if not f_name.endswith(".s"):
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|                     continue
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|                 if f_name.endswith("_reloc.s"):
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|                     continue
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| 
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|                 file_path = os.path.join(ovl_path, f_name)
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|                 funcs = count_builded_funcs_and_instructions(file_path)
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|                 
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|                 if len(funcs) > 0:
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|                     num_files += len(funcs)
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|                     # round up the file size to a multiple of four.
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|                     total_size += math.ceil(sum(funcs.values())/4)*4
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|                     max_size = max(max_size, max(funcs.values()))
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|                     # merges both dictionaries
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|                     actor_funcs = {**actor_funcs, **funcs}
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| 
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|             overlays[actor_dir] = {
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|                 "summary": (num_files, max_size, total_size, 
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|                     total_size / num_files),
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|                 "funcs": actor_funcs
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|             }
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| 
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|     return overlays
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| 
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| 
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| def get_list_from_file(filename):
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|     actor_list = []
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|     if filename is not None:
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|         with open(filename) as f:
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|             actor_list = list(map(lambda x: x.strip().split(",")[0], f.readlines()))
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|     return actor_list
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| 
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| 
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| def print_csv(overlays, ignored, include_only):
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|     sorted_actors = [(k, v["summary"]) for k, v in overlays.items()]
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|     sorted_actors.sort()
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| 
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|     row = "{},{},{},{},{}"
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|     print(row.format("Overlay", "Num files", "Max size", "Total size", "Average size"))
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| 
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|     for actor_data in sorted_actors:
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|         name = actor_data[0]
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|         other = actor_data[1]
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|         if name in ignored:
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|             continue
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|         if include_only and name not in include_only:
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|             continue
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|         print(row.format(name, *other))
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| 
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| 
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| def print_function_lines(overlays, ignored, include_only):
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|     sorted_actors = []
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|     for k, v in overlays.items():
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|         func_data = []
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|         for func_name, lines in v["funcs"].items():
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|             func_data.append((func_name, lines))
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|         #func_data.sort(key=lambda x: x[1], reverse=True)
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|         sorted_actors.append((k, func_data))
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|     sorted_actors.sort()
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| 
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|     row = "{},{},{}"
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|     print(row.format("actor_name", "function_name", "lines"))
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| 
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|     for actor_data in sorted_actors:
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|         name = actor_data[0]
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|         func_data = actor_data[1]
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|         if name in ignored:
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|             continue
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|         if include_only and name not in include_only:
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|             continue
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|         for func_name, lines in func_data:
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|             print(row.format(name, func_name, lines))
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| 
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| 
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| def main():
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|     description = "Collects actor's functions sizes, and print them in csv format."
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| 
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|     epilog = """\
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| To make a .csv with the data, simply redirect the output. For example:
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|     ./tools/get_actor_sizes.py > results.csv
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| 
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| Flags can be mixed to produce a customized result:
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|     ./tools/get_actor_sizes.py --function-lines --non-matching > status.csv
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|     ./tools/get_actor_sizes.py --non-matching --ignore pull_request.csv > non_matching.csv
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|     ./tools/get_actor_sizes.py --non-matching --function-lines --include-only my_reserved.csv > my_status.csv
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|     """
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|     parser = argparse.ArgumentParser(description=description, epilog=epilog, formatter_class=argparse.RawTextHelpFormatter)
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|     parser.add_argument("--non-matching", help="Collect data of the non-matching actors instead.", action="store_true")
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|     parser.add_argument("--function-lines", help="Prints the size of every function instead of a summary.", action="store_true")
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|     parser.add_argument("--ignore", help="Path to a file containing actor's names. The data of actors in this list will be ignored.")
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|     parser.add_argument("--include-only", help="Path to a file containing actor's names. Only data of actors in this list will be printed.")
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|     args = parser.parse_args()
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| 
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|     if args.non_matching:
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|         overlays = count_non_matching()
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|     else:
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|         overlays = count_build()
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| 
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|     ignored = get_list_from_file(args.ignore)
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|     include_only = get_list_from_file(args.include_only)
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| 
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|     if args.function_lines:
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|         print_function_lines(overlays, ignored, include_only)
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|     else:
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|         print_csv(overlays, ignored, include_only)
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| 
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| main()
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