def __init__(self, time, score=None, biasPass=0):
IRRELEVANT = 0
ONLY_NON_DISCRIMINATORY = 1
ONLY_DISCRIMINATORY = 2
# Probabilistically finds the score: less likely to get large
# magnitudes of scores
if not score:
for case in switch(biasPass):
if case(IRRELEVANT):
self.score = int(np.random.normal(0, 3))
while (self.score == 0 or self.score > 5
or self.score < -5):
self.score = int(np.random.normal(0, 3))
break
if case(ONLY_NON_DISCRIMINATORY):
self.score = int(np.random.normal(2.5, 1.5))
while (self.score <= 0 or self.score > 5):
self.score = int(np.random.normal(2.5, 1.5))
break
if case(ONLY_DISCRIMINATORY):
self.score = int(np.random.normal(-2.5, 1.5))
while (self.score >= 0 or self.score < -5):
self.score = int(np.random.normal(-2.5, 1.5))
break
if case():
sys.stderr.write("Invalid value for bias")
return False
else:
self.score = score
# If bill has score < 0: hurts LGB sentiments
self.isDiscriminatory = (self.score < 0)
self.isPassed = False
# Used to account for the time delay of the policy effect
self.passTime = time
self.prevEffect = 0
self.curEffect = 0
if not self.Policy_verifyPolicy(self.score, self.isPassed,
self.passTime):
return None
def __init__(self, time, score=None, biasPass=0):
IRRELEVANT = 0
ONLY_NON_DISCRIMINATORY = 1
ONLY_DISCRIMINATORY = 2
# Probabilistically finds the score: less likely to get large
# magnitudes of scores
if not score:
for case in switch(biasPass):
if case(IRRELEVANT):
self.score = int(np.random.normal(0, 3))
while (self.score == 0 or self.score > 5 or
self.score < -5):
self.score = int(np.random.normal(0, 3))
break
if case(ONLY_NON_DISCRIMINATORY):
self.score = int(np.random.normal(2.5, 1.5))
while (self.score <= 0 or self.score > 5):
self.score = int(np.random.normal(2.5, 1.5))
break
if case(ONLY_DISCRIMINATORY):
self.score = int(np.random.normal(-2.5, 1.5))
while (self.score >= 0 or self.score < -5):
self.score = int(np.random.normal(-2.5, 1.5))
break
if case():
sys.stderr.write("Invalid value for bias")
return False
else:
self.score = score
# If bill has score < 0: hurts LGB sentiments
self.isDiscriminatory = (self.score < 0)
self.isPassed = False
# Used to account for the time delay of the policy effect
self.passTime = time
self.prevEffect = 0
self.curEffect = 0
if not self.Policy_verifyPolicy(self.score, self.isPassed,
self.passTime):
return None
#set number of simulations
trials = 100000
#create variable to count number of times found the car when switch doors
switchWins = 0
#run the simulation a number of times
for i in range(trials):
#create 3 door objectts
doorOne = Door()
doorTwo = Door()
doorThree = Door()
#put car behind a random door
x = random.randint(1, 3)
for case in switch(x):
if case(1):
doorOne.setCar(True)
break
if case(2):
doorTwo.setCar(True)
break
if case():
doorThree.setCar(True)
#select a random door
y = random.randint(1, 3)
for case in switch(y):
if case(1):
doorOne.setSelected(True)
break
from Read import row_count, column_count, start_position, end_position from Switch import switch WINDOW_TITLE = "PathFinder - Algoritmo Genético" MAZE_WIDTH = column_count MAZE_HEIGHT = row_count BLOCK_SIZE = switch(MAZE_HEIGHT) GENERATIONS = 100 POPULATION_SIZE = 100 MUTATION_RATE = 0.05 START_COORDS = start_position END_COORDS = end_position
#set number of simulations trials = 100000 #create variable to count number of times found the car when switch doors switchWins = 0 #run the simulation a number of times for i in range(trials): #create 3 door objectts doorOne = Door() doorTwo = Door() doorThree = Door() #put car behind a random door x = random.randint(1,3) for case in switch(x): if case(1): doorOne.setCar(True) break if case(2): doorTwo.setCar(True) break if case(): doorThree.setCar(True) #select a random door y = random.randint(1,3) for case in switch(y): if case(1): doorOne.setSelected(True) break
table = HashTable(430007)
for line in file:
table.insert(line.replace("\n",""))
cols = table.collisions
print("Number of collisions = {}\n\n".format(cols))
#loop until user decides to exit
while True:
x = int(input("\n1) Print all words\n2) Search for a word\n3) Quit\n"))
#If user presses...
#1..Print all words in table and print collisions of each word
#2..Ask user to enter a word and search for that word
#3..Exit loop
stop = False
for case in switch(x):
if case(1):
table.printTable()
break
if case(2):
word = input("\nEnter word to be searched for:")
table.getSlot(word)
break
if case(3):
stop = True
break
if case():
print("Invalid input\n")
if stop:
break
def evaluate_state(self):
msg = user_event_msg()
msg.user_id = self.mid_
msg.message = 'none'
for case in switch(self.state__):
if case('IDLE'):
if self.current_state_msg.outside_workspace:
msg.event_id = 'workspace_event'
msg.message = 'outside_workspace'
self.state__ = 'OUTSIDE_WORKSPACE'
break
# Hand Events
msg.event_id = 'hand_event'
if self.current_state_msg.hands_on_head:
msg.message = 'hands_on_head'
self.state__ = 'HANDS_HEAD'
break
if self.current_state_msg.hands_together:
msg.message = 'hands_together'
self.state__ = 'HANDS_TOGETHER'
break
if self.current_state_msg.right_elbow_click:
msg.message = 'right_elbow_click'
self.state__ = 'RIGHT_ELBOW_CLICK'
break
if self.current_state_msg.left_elbow_click:
msg.message = 'left_elbow_click'
self.state__ = 'LEFT_ELBOW_CLICK'
break
break
if case('OUTSIDE_WORKSPACE'):
if not self.current_state_msg.outside_workspace:
self.state__ = 'IDLE'
break
if case('HANDS_TOGETHER'):
if not self.current_state_msg.hands_together:
self.state__ = 'IDLE'
break
if case('HANDS_HEAD'):
if not self.check_joint_dist(self.head_limit_,'left_hand','head'):
self.state__ = 'IDLE'
break
elif not self.check_joint_dist(self.head_limit_,'right_hand','head'):
self.state__ = 'IDLE'
break
break
if case('RIGHT_ELBOW_CLICK'):
if not self.current_state_msg.right_elbow_click:
self.state__ = 'IDLE'
break
if case('LEFT_ELBOW_CLICK'):
if not self.current_state_msg.left_elbow_click:
self.state__ = 'IDLE'
break
# Check for populated message and publish
if 'none' not in msg.message:
self.user_event_pub_.publish(msg)
pass
def NetworkBase_getDepressOdds(self, onlyMinority=0, withSupport=0,
checkDensity=False):
# Everyone with < 0.10 support will be considered "NOT supported"
NO_SUPPORT = .75
# Used to calculate when the z-score is ".75" (never exact:
# use a bounded set to compensate)
cutoffRange = [.90, 1.10]
# Used for checking the parameters passed in: whether check
# for the nodes with a property, without, or without regard
ONLY_WANT_WITH = 2
ONLY_WANT_WITHOUT = 1
IRRELEVANT = 0
# Determines which agents to check based on parameter
for case in switch(onlyMinority):
if case(ONLY_WANT_WITH):
agents = self.NetworkBase_getMinorityNodes()
break
if case(ONLY_WANT_WITHOUT):
agents = self.NetworkBase_getMinorityNodes(
wantMinority=False)
break
if case(IRRELEVANT):
agents = self.NetworkBase_getAgentArray()
break
if case():
sys.stderr.write("Minority bool must be 0, 1, 2")
return False
# Agent count: defaulted to number of agents being analyzed
count = len(agents)
totalDepression = 0
for case in switch(withSupport):
# Gets total depression of those with support
if case(ONLY_WANT_WITH):
for agent in agents:
z = self.NetworkBase_getSupportZScore(agent)
if z > NO_SUPPORT:
totalDepression += agent.currentDepression
break
# Gets depression of those without support
if case(ONLY_WANT_WITHOUT):
for agent in agents:
z = self.NetworkBase_getSupportZScore(agent)
if z <= NO_SUPPORT:
totalDepression += agent.currentDepression
break
# Gets depression for all the agents in check
if case(IRRELEVANT):
# If calculating odds for specific level of density
if checkDensity:
# Have to redo count for only agents in cutoff
count = 0
for agent in agents:
z = self.NetworkBase_getDensityZScore(agent)
if cutoffRange[0] < z:
totalDepression += agent.currentDepression
count += 1
else:
for agent in agents:
totalDepression += agent.currentDepression
break
if case():
sys.stderr.write("Support bool must be 0, 1, 2")
return False
if not count:
return 0.0
prob = totalDepression/count
return prob/(1 - prob)
def evaluate_state(self):
msg = user_event_msg()
msg.user_id = self.mid_
msg.message = 'none'
for case in switch(self.state__):
if case('IDLE'):
if self.current_state_msg.outside_workspace:
msg.event_id = 'workspace_event'
msg.message = 'outside_workspace'
self.state__ = 'OUTSIDE_WORKSPACE'
break
# Hand Events
msg.event_id = 'hand_event'
if self.current_state_msg.hands_on_head:
msg.message = 'hands_on_head'
self.state__ = 'HANDS_HEAD'
break
if self.current_state_msg.hands_together:
msg.message = 'hands_together'
self.state__ = 'HANDS_TOGETHER'
break
if self.current_state_msg.right_elbow_click:
msg.message = 'right_elbow_click'
self.state__ = 'RIGHT_ELBOW_CLICK'
break
if self.current_state_msg.left_elbow_click:
msg.message = 'left_elbow_click'
self.state__ = 'LEFT_ELBOW_CLICK'
break
break
if case('OUTSIDE_WORKSPACE'):
if not self.current_state_msg.outside_workspace:
self.state__ = 'IDLE'
break
if case('HANDS_TOGETHER'):
if not self.current_state_msg.hands_together:
self.state__ = 'IDLE'
break
if case('HANDS_HEAD'):
if not self.check_joint_dist(self.head_limit_, 'left_hand',
'head'):
self.state__ = 'IDLE'
break
elif not self.check_joint_dist(self.head_limit_, 'right_hand',
'head'):
self.state__ = 'IDLE'
break
break
if case('RIGHT_ELBOW_CLICK'):
if not self.current_state_msg.right_elbow_click:
self.state__ = 'IDLE'
break
if case('LEFT_ELBOW_CLICK'):
if not self.current_state_msg.left_elbow_click:
self.state__ = 'IDLE'
break
# Check for populated message and publish
if 'none' not in msg.message:
self.user_event_pub_.publish(msg)
pass