
import json
import sys


def    a      ( a		,						a	)     ->int:




			'''simple docstring'''


			with open(a		,						encoding='''utf-8'''	) as f:
						SCREAMING_SNAKE_CASE     						= json.load(a	)

			SCREAMING_SNAKE_CASE     						= ['''<details>''', '''<summary>Show updated benchmarks!</summary>''', ''' ''']

			for benchmark_name in sorted(a	):
						SCREAMING_SNAKE_CASE     						= results[benchmark_name]

						SCREAMING_SNAKE_CASE     						= benchmark_name.split('''/'''	)[-1]
						output_md.append(F"""### Benchmark: {benchmark_file_name}"""	)

						SCREAMING_SNAKE_CASE     						= '''| metric |'''
						SCREAMING_SNAKE_CASE     						= '''|--------|'''
						SCREAMING_SNAKE_CASE     						= '''| new / old (diff) |'''
						for metric_name in sorted(a	):
									SCREAMING_SNAKE_CASE     						= benchmark_res[metric_name]
									SCREAMING_SNAKE_CASE     						= metric_vals['''new''']
									SCREAMING_SNAKE_CASE     						= metric_vals.get('''old'''		,						a	)
									SCREAMING_SNAKE_CASE     						= metric_vals.get('''diff'''		,						a	)

									SCREAMING_SNAKE_CASE     						= F""" {new_val:f}""" if isinstance(a		,						(int, float)	) else '''None'''

									if old_val is not None:
												val_str += F""" / {old_val:f}""" if isinstance(a		,						(int, float)	) else "None"
									if dif_val is not None:
												val_str += F""" ({dif_val:f})""" if isinstance(a		,						(int, float)	) else "None"

									title += " " + metric_name + " |"
									lines += "---|"
									value += val_str + " |"

						output_md += [title, lines, value, " "]

			output_md.append('''</details>'''	)

			with open(a		,						'''w'''		,						encoding='''utf-8'''	) as f:
						f.writelines('''\n'''.join(a	)	)


if __name__ == "__main__":
							__lowerCAmelCase					   =       sys.argv[1]
							__lowerCAmelCase					   =       sys.argv[2]

							format_json_to_md(input_json_file, output_md_file)

from PIL import Image


def    a      ( a	)     ->Image:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE						,							SCREAMING_SNAKE_CASE     						= image.size
			SCREAMING_SNAKE_CASE     						= 0
			SCREAMING_SNAKE_CASE     						= image.load()
			for i in range(a	):
						for j in range(a	):
									SCREAMING_SNAKE_CASE     						= pixels[j, i]
									mean += pixel
			mean //= width * height

			for j in range(a	):
						for i in range(a	):
									SCREAMING_SNAKE_CASE     						= 255 if pixels[i, j] > mean else 0
			return image


if __name__ == "__main__":
							__lowerCAmelCase					   =       mean_threshold(Image.open('path_to_image').convert('L'))
							image.save('output_image_path')