def pattern(self, sequence):
trials = len(sequence)
c = Coin()
sample = []
for _ in range(10_100_000):
trial = ''.join([c.flip() for _ in range(trials)])
sample.append(trial)
def p_2_heads(self):
c = Coin()
successes = []
trials = 100_000
for _ in range(trials):
is_success = [c.flip() for _ in range(2)].count('H') == 2
successes.append(is_success)
return sum(successes) / trials
def p_pattern(self, pattern):
c = Coin()
successes = []
trials = 100_000
for _ in range(trials):
is_success = ''.join([c.flip()
for _ in range(len(pattern))]) == pattern
successes.append(is_success)
return sum(successes) / trials
def p_pattern(self, patt, cnt =100_000):
flip_cnt = len(patt)
t_patt = list(patt)
#print(t_patt)
results = []
c = Coin()
for i in range(cnt):
flips = []
for i in range(flip_cnt):
flips.append(c.flip())
results.append(flips)
return (results.count(t_patt) / cnt)
def p_pattern(self, pat):
l = len(pat)
c = Coin()
successes = []
trials = 100_000_0
for _ in range(trials):
is_success = ''.join([c.flip() for _ in range(l)]) == pat
successes.append(is_success)
return sum(successes) / trials
# class Experiment:
# def p_2_heads(self):
# c = Coin()
# successes = []
# trials = 100_000
# for _ in range(trials):
# is_success = [c.flip() for _ in range(2)].count('H') == 2
# successes.append(is_success)
# return sum(successes) / trials
def test_flip():
c = Coin()
assert c.flip() in c.states
def test_fair_coin():
c = Coin()
outcomes = []
for i in range(100_000):
outcomes.append(c.flip())
def p_2_heads(self, cnt =100_000):
results = []
c = Coin()
for i in range(cnt):
results.append((c.flip(),c.flip()))
return (results.count(('H','H')) / cnt)
