Laksh Arora techedlaksh

## hellinger.py
"""
Three ways of computing the Hellinger distance between two discrete
probability distributions using NumPy and SciPy.
"""

import numpy as np
from scipy.linalg import norm
from scipy.spatial.distance import euclidean


## GAME_MASTER_v0_1.json
{"Result":1,"Items":[{"TemplateId":"\"BADGE_BATTLE_ATTACK_WON\"","Badge":{"BadgeType":"BADGE_BATTLE_ATTACK_WON","BadgeRanks":4,"Targets":"\"\\nd\\350\\007\""}},{"TemplateId":"\"BADGE_BATTLE_TRAINING_WON\"","Badge":{"BadgeType":"BADGE_BATTLE_TRAINING_WON","BadgeRanks":4,"Targets":"\"\\nd\\350\\007\""}},{"TemplateId":"\"BADGE_BIG_MAGIKARP\"","Badge":{"BadgeType":"BADGE_BIG_MAGIKARP","BadgeRanks":4,"Targets":"\"\\0032\\254\\002\""}},{"TemplateId":"\"BADGE_CAPTURE_TOTAL\"","Badge":{"BadgeType":"BADGE_CAPTURE_TOTAL","BadgeRanks":4,"Targets":"\"\\036\\364\\003\\320\\017\""}},{"TemplateId":"\"BADGE_EVOLVED_TOTAL\"","Badge":{"BadgeType":"BADGE_EVOLVED_TOTAL","BadgeRanks":4,"Targets":"\"\\003\\024\\310\\001\""}},{"TemplateId":"\"BADGE_HATCHED_TOTAL\"","Badge":{"BadgeType":"BADGE_HATCHED_TOTAL","BadgeRanks":4,"Targets":"\"\\nd\\364\\003\""}},{"TemplateId":"\"BADGE_PIKACHU\"","Badge":{"BadgeType":"BADGE_PIKACHU","BadgeRanks":4,"Targets":"\"\\0032\\254\\002\""}},{"TemplateId":"\"BADGE_POKEDEX_ENTRIES\"","Badge":{"BadgeTy
	"""
	Three ways of computing the Hellinger distance between two discrete
	probability distributions using NumPy and SciPy.
	"""

	import numpy as np
	from scipy.linalg import norm
	from scipy.spatial.distance import euclidean