


'''simple docstring'''



import json
import sys







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__					):
   with open(UpperCamelCase__ ,      encoding="""utf-8"""					) as f:
      UpperCAmelCase__  :					Dict        =     json.load(UpperCamelCase__					)

   UpperCAmelCase__  :					Optional[int]        =     ["""<details>""", """<summary>Show updated benchmarks!</summary>""", """ """]

   for benchmark_name in sorted(UpperCamelCase__					):
      UpperCAmelCase__  :					List[Any]        =     results[benchmark_name]

      UpperCAmelCase__  :					Optional[Any]        =     benchmark_name.split("""/"""					)[-1]
      output_md.append(f'''### Benchmark: {benchmark_file_name}'''					)

      UpperCAmelCase__  :					Optional[int]        =     """| metric |"""
      UpperCAmelCase__  :					Dict        =     """|--------|"""
      UpperCAmelCase__  :					Optional[int]        =     """| new / old (diff) |"""
      for metric_name in sorted(UpperCamelCase__					):
         UpperCAmelCase__  :					Any        =     benchmark_res[metric_name]
         UpperCAmelCase__  :					Optional[int]        =     metric_vals["""new"""]
         UpperCAmelCase__  :					int        =     metric_vals.get("""old""" ,      UpperCamelCase__					)
         UpperCAmelCase__  :					List[str]        =     metric_vals.get("""diff""" ,      UpperCamelCase__					)

         UpperCAmelCase__  :					Any        =     f''' {new_val:f}''' if isinstance(UpperCamelCase__ ,      (int, float)					) else """None"""

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

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

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

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

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


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

  format_json_to_md(input_json_file, output_md_file)



'''simple docstring'''



from collections.abc import Callable
from math import pi, sqrt
from random import uniform
from statistics import mean







def     _UpperCamelCase      (		UpperCamelCase__					):

			# A local function to see if a dot lands in the circle.
			def is_in_circle(UpperCamelCase__ ,      UpperCamelCase__					) -> bool:
						UpperCAmelCase__  :					List[str]        =     sqrt((x**2) + (y**2)					)
						# Our circle has a radius of 1, so a distance
						# greater than 1 would land outside the circle.
						return distance_from_centre <= 1

			# The proportion of guesses that landed in the circle
			UpperCAmelCase__  :					Optional[Any]        =     mean(
			    int(is_in_circle(uniform(-1.0 ,      1.0					) ,      uniform(-1.0 ,      1.0					)					)					)
			    for _ in range(UpperCamelCase__					)					)
			# The ratio of the area for circle to square is pi/4.
			UpperCAmelCase__  :					int        =     proportion * 4
			print(f'''The estimated value of pi is {pi_estimate}'''					)
			print(f'''The numpy value of pi is {pi}'''					)
			print(f'''The total error is {abs(pi - pi_estimate					)}'''					)







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__ = 0.0 ,      UpperCamelCase__ = 1.0 ,      ):
			return mean(
			    function_to_integrate(uniform(UpperCamelCase__ ,      UpperCamelCase__					)					) for _ in range(UpperCamelCase__					)					) * (max_value - min_value)







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__ = 0.0 ,      UpperCamelCase__ = 1.0					):

			def identity_function(UpperCamelCase__					) -> float:
						return x

			UpperCAmelCase__  :					List[str]        =     area_under_curve_estimator(
			    UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					)
			UpperCAmelCase__  :					Optional[int]        =     (max_value * max_value - min_value * min_value) / 2

			print("""******************"""					)
			print(f'''Estimating area under y=x where x varies from {min_value} to {max_value}'''					)
			print(f'''Estimated value is {estimated_value}'''					)
			print(f'''Expected value is {expected_value}'''					)
			print(f'''Total error is {abs(estimated_value - expected_value					)}'''					)
			print("""******************"""					)







def     _UpperCamelCase      (		UpperCamelCase__					):

			def function_to_integrate(UpperCamelCase__					) -> float:
						return sqrt(4.0 - x * x					)

			UpperCAmelCase__  :					Dict        =     area_under_curve_estimator(
			    UpperCamelCase__ ,      UpperCamelCase__ ,      0.0 ,      2.0					)

			print("""******************"""					)
			print("""Estimating pi using area_under_curve_estimator"""					)
			print(f'''Estimated value is {estimated_value}'''					)
			print(f'''Expected value is {pi}'''					)
			print(f'''Total error is {abs(estimated_value - pi					)}'''					)
			print("""******************"""					)


if __name__ == "__main__":
		import doctest

		doctest.testmod()