def main():
TRAIN_DBS, VAL_DBS, TEST_DBS, TRAIN_N_DBS, VAL_N_DBS, TEST_N_DBS = \
load_dbs(sys.argv[1], False)
ret = Retriever(TRAIN_DBS)
sess = tf.Session()
cv2.namedWindow("image", cv2.WINDOW_NORMAL)
cv2.resizeWindow("image", 600, 1200)
l = 1000
div = ret.get_length() / l
pairs = []
for i in range(l):
img1, img2 = ret.get_image_pair(i*div + 1, sess)
#img1, img2 = ret.get_random_pair(sess)
img2 = np.squeeze(img2.astype(np.uint8))
img1 = np.squeeze(img1.astype(np.uint8))
img1 = cv2.cvtColor(img1, cv2.COLOR_BGR2RGB)
#cv2.cvtColor(img1, cv2.COLOR_RGB2BGR)
img2 = cv2.cvtColor(img2, cv2.COLOR_BGR2RGB)
#cv2.cvtColor(img2, cv2.COLOR_RGB2BGR)
#cv2.imwrite("image1.png", img1)
#cv2.imwrite("image2.png", img2)
ss = np.concatenate((img1, img2), axis=1)
cv2.imshow("image", ss)
val = cv2.waitKey(0)
if val == 27:
break
cv2.destroyWindow("image")
sess.close()
def execute(self, html):
soup = get_soup(html)
dirs = Retriever.get_accept_dirs(soup, self.link)
books = Retriever.get_accept_books(soup, self.link)
self.tasks = [ DirPage( link ) for link,_ in dirs ]
self.tasks += [ BookPage( link+'_Ascii.txt' ) for link,_ in books ]
return True
def calc_image_stats(pos_db, neg_db, samples=None):
ret = MixedRetriever(Retriever(pos_db), Retriever(neg_db))
if samples is None:
count = ret.get_length()
else:
count = samples
ratio = 1. / 2
sess = tf.Session()
mean = np.zeros((192, 192, 3))
std = np.zeros((192, 192, 3))
k = 1
n = 200
# Calc mean
print("Calculating mean")
for i in xrange(0, ret.get_length(), ret.get_length() // count):
r, l, g = ret.get_random_pairs(sess, n / 2, ratio)
mean = mean * k / (k + n) + (np.sum(r, axis=0) +
np.sum(l, axis=0)) / (k + n)
k += 1
#cv2.imshow("mean", mean)
#cv2.waitKey(0)
k = 1
# Calc std
mean_repeat = np.expand_dims(mean, 0).repeat(n, 0)
print("Calculating standard deviation")
for i in xrange(0, ret.get_length(), ret.get_length() // count):
r, l, g = ret.get_random_pairs(sess, n / 2, ratio)
arr = np.concatenate((r, l), axis=0)
a = (np.sum(np.square(arr - mean_repeat), axis=0)) / (k + n)
std = std * k / (k + n) + a / (k + n)
#cv2.imshow("std", std)
#cv2.waitKey(0)
return mean, std
def retrieve(self,text):
bi = BookInfo()
bi.authors, bi.title = Retriever.get_authors_and_title(text)
bi.pagelink = self.link
bi.links['txt'] = self.link
tag = Retriever.get_tag_by_link(self.link)
bi.tags = [tag] if tag else []
return bi
def execute(self, html):
soup = get_soup(html)
magazine_info = Retriever.get_magazine_info(soup)
magazine_info.cover = make_correct_link(self.link, magazine_info.cover)
magazine_info.link = self.link
issue_links = [ make_correct_link(self.link, link) for link in Retriever.get_links_magazine_issue(soup) ]
self.tasks = [ MagazineIssueTask( magazine_info.name, issue_link) for issue_link in issue_links ]
self.tasks += [ MagazineSavingTask( magazine_info ) ]
return True
def execute(self, html):
data, page = html
soup = BeautifulSoup(data,convertEntities=BeautifulSoup.XML_ENTITIES, fromEncoding='utf-8')
if Retriever.is_acquisition_feed(soup):
self.tasks = [ Entry(unicode(entry), self.link) for entry in Retriever.get_entries(soup) ]
else: #navigation feed
entries = Retriever.get_entries(soup)
links = filter( lambda l: l!=None, [Retriever.get_catalog_link(entry) for entry in entries] )
links = filter( Retriever.is_permitted_link, links)
links = map( lambda link: make_correct_link(self.link, link), links)
self.tasks = [ Page(link) for link in links]
return True
def execute(self, html):
soup = get_soup(html)
year, number = Retriever.get_issue_year_number_by_link(self.link)
articles = Retriever.get_issue_articles(soup)
for article in articles:
article.magazine = self.magazine
article.year = year
article.number = number
article.link = make_correct_link(self.link, article.link)
article.link = Retriever.print_version(article.link)
self.tasks = [ArticleSavingTask(article) for article in articles]
return True
def execute(self,html):
soup = get_soup(html)
book_info = BookInfo()
book_info.title = self.description['title']
book_info.authors = [ "%s %s %s" % (self.description['firstname'],self.description['middlename'], self.description['lastname']) ]
book_info.pagelink = self.link
book_info.language = self.description['language']
book_info.summary = Retriever.get_summary(soup)
book_info.links = Retriever.get_links(soup, self.link)
book_info.tags = Retriever.get_tags(soup)
book_info.image = Retriever.get_picture(soup, self.link, self.description['ID'])
self.tasks = [ BookSavingTask(book_info) ]
return True
def execute(self, html):
soup = get_soup(html)
genres = Retriever.get_genres(soup)
for genre in genres:
genre['link'] = make_correct_link(self.link, genre['link'])
self.tasks = [ GetAllPagesGenre(g['link'],g['name']) for g in genres ]
return True
def generate_snippet(file_name):
relevant_list = open('cacm.rel', 'r')
query_relevant = {}
for line in relevant_list.readlines():
words = line.split()
if query_relevant.has_key(words[0]):
doc_no = words[2][5:]
doc_no = str(doc_no)
doc = 'CACM-' + (4 - len(doc_no)) * '0' + doc_no
query_relevant[words[0]].append(doc)
else:
query_relevant[words[0]] = []
doc_no = words[2][5:]
doc = 'CACM-' + (4 - len(doc_no)) * '0' + doc_no
query_relevant[words[0]].append(doc)
#Get query_dict from the file cacm.query.txt
f = open('cacm.query.txt', 'r')
soup = BeautifulSoup(f.read(), 'html.parser')
f.close()
rawquery_dict = {}
for i in range(64):
query_no = (soup.find('docno')).text.encode('utf-8')
(soup.find('docno')).decompose()
query = (soup.find('doc')).text.encode('utf-8')
(soup.find('doc')).decompose()
query_no = query_no.strip(" ")
rawquery_dict[query_no] = query
r = Retriever("", "")
query_dict = {}
for query_no, raw_query in rawquery_dict.viewitems():
query_dict[query_no] = r.process_query(raw_query, True)
print "Enter the query no"
no = raw_input()
no = str(no)
query = query_dict[no]
print query
s = SnippetGen(file_name)
query_results = s.get_queryresults(name='bms25')
results = query_results[no]
# pdb.set_trace()
s.get_snippet(query, results)
def __init__(self, car):
self.car = car
self.rules = [
['1', ['signal:RED'], ['acceleration:N']
], # rule base for signal, stop sign and speed limit
['2', ['signal:AMBER'], ['acceleration:N']],
['3', ['signal:GREEN'], ['acceleration:Y']],
['4', ['sign:STOP'], ['acceleration:N']],
['5', ['speed:Y'], ['aceleration:Y']],
['6', ['speed:N'], ['acceleration:N']]
]
self.evtgen = EventGenerator.EventGenerator(
) # creating random event generator object
self.rt = Retriever(
'casebasedplan.txt') # Retriever object for case retrieval
self.exception_event = ExceptionalEvent()
self.laneChanged = False
def execute(self):
entry = BeautifulSoup(self.entry,convertEntities=BeautifulSoup.XML_ENTITIES)
bookinfo = Retriever.get_bookinfo(entry)
if not bookinfo:
logger.write_fail("empty links at entry",entry=entry, link=self.link)
return True
bookinfo.pagelink = self.link
for format, link in bookinfo.links.items():
bookinfo.links[format] = make_correct_link(self.link, bookinfo.links[format] )
self.tasks = [ BookSavingTask(bookinfo) ]
return True
def __init__(self, car):
self.car = car
self.rules = [['1',['signal:RED'],['acceleration:N']], # rule base for signal, stop sign and speed limit
['2',['signal:AMBER'],['acceleration:N']],
['3',['signal:GREEN'],['acceleration:Y']],
['4',['sign:STOP'],['acceleration:N']],
['5',['speed:Y'],['aceleration:Y']],
['6',['speed:N'],['acceleration:N']]]
self.evtgen = EventGenerator.EventGenerator() # creating random event generator object
self.rt = Retriever('casebasedplan.txt') # Retriever object for case retrieval
self.exception_event = ExceptionalEvent()
self.laneChanged = False
def execute(self):
self.tasks = []
filename = os.path.join(settings.path_to_project, settings.analyser, settings.data, 'catalog.zip')
zip_file = ZipFile(filename)
catalog_file = zip_file.open('catalog.txt')
for i in xrange(self.start_line):
catalog_file.readline()
N_IDS = 20 #number of reading ID's
for n in range(N_IDS):
description_line = catalog_file.readline()
if description_line == '':
break #end of file
description = Retriever.read_description(description_line)
self.tasks.append( GetBookInfoTask('http://flibusta.net/b/%s' % description['ID'], description) )
if catalog_file.readline() != '':
self.tasks.append( GetNewId(self.start_line+N_IDS))
return True
def load_retrievers(dbtype, viewing=False):
# INIT DATABASE RETRIEVERS
TRAIN_DBS, VAL_DBS, TEST_DBS, TRAIN_N_DBS, VAL_N_DBS, TEST_N_DBS = \
load_dbs(dbtype, viewing)
train_pos = Retriever(TRAIN_DBS)
train_neg = Retriever(TRAIN_N_DBS)
train_ret = MixedRetriever(train_pos, train_neg)
val_pos = Retriever(VAL_DBS)
val_neg = Retriever(VAL_N_DBS)
val_ret = MixedRetriever(val_pos, val_neg)
test_pos = Retriever(TEST_DBS)
test_neg = Retriever(TEST_N_DBS)
test_ret = MixedRetriever(test_pos, test_neg)
return train_ret, val_ret, test_ret
def execute(self,html):
soup = get_soup(html)
number = Retriever.get_pages_number(soup)
pagelinks = Retriever.generate_all_pagelinks_for_genre(self.link, number)
self.tasks = [ GenrePage(link, self.genre) for link in pagelinks]
return True
dsOut.SetProjection(self.projection)
'''
ReprojectImage(Dataset src_ds, Dataset dst_ds, char src_wkt = None,
char dst_wkt = None, GDALResampleAlg eResampleAlg = GRA_NearestNeighbour,
double WarpMemoryLimit = 0.0,
double maxerror = 0.0, GDALProgressFunc callback = None,
void callback_data = None) -> CPLErr
'''
#gdal.ReprojectImage(self.dataset,self.dataset,self.DEFAULT_PROJ,self.LATLONG_PROJ)
#subprocess.call(["gdalwarp","-t_srs","+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs","out.tiff","out1.tiff"])
#subprocess.call("gdalwarp","-t_srs \"+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs\" out.tiff out1.tiff")
#err = gdal.ReprojectImage(dsOut,dsOut,self.projection,self.LATLONG_PROJ_WKT)
err = gdal.ReprojectImage(dsOut,projdsOut,self.projection,self.LATLONG_PROJ_WKT)
if __name__ == '__main__':
from Retriever import Retriever
retriever = Retriever()
image_dict = retriever.downloadImages(['ss'])
for i in image_dict.iterkeys():
radar = Regional(image_dict[i],i) #(imagepath, region)
#print "Creado radar regional: " + radar.imagepath + ' Region: ' + radar.region
radar.printReport()
#valid_gifindexes = radar.__getValidColors()
radar.data = radar.swapValues(radar.data)
radar.dumpToGeoTiff('out.tiff')
def execute(self, html):
soup = get_soup(html)
links_magazines = Retriever.get_links_on_magazines(soup)
links_magazines = [make_correct_link(self.link, link) for link in links_magazines]
self.tasks = [ MagazineInfoTask( link ) for link in links_magazines]
return True
#Get query_dict from the file cacm.query.txt
f = open('cacm.query.txt','r')
soup = BeautifulSoup(f.read(), 'html.parser')
f.close()
rawquery_dict = {}
for i in range(64):
query_no = (soup.find('docno')).text.encode('utf-8')
(soup.find('docno')).decompose()
query = (soup.find('doc')).text.encode('utf-8')
(soup.find('doc')).decompose
query_no = query_no.strip(" ")
rawquery_dict[query_no] = query
r = Retriever("", "")
query_dict = {}
for query_no, raw_query in rawquery_dict.viewitems():
query_dict[query_no] = r.process_query(raw_query, True)
print "Enter the query no"
no = raw_input()
no = str(no)
query = query_dict[no]
print query
s = SnippetGen()
query_results = s.get_queryresults(name = 'bms25')
results = query_results[no]
# pdb.set_trace()
s.get_snippet(query,results)
def execute(self,html):
soup = get_soup(html)
book_info = Retriever.correct_book_info( Retriever.get_book_info(soup), self.link)
self.tasks = [ BookSavingTask(book_info) ]
return True
def execute(self,html):
soup = get_soup(html)
links = [make_correct_link(self.link, book_link) for book_link in Retriever.get_book_links(soup) ]
self.tasks = [ GetBookInfoTask( link) for link in links]
return True
def execute(self,html):
soup = get_soup(html)
links = [ self.link ]
links += Retriever.get_link_pages(soup, self.link)
self.tasks = [ BookListingTask(link) for link in links ]
return True
def execute(self,html):
soup = get_soup(html)
tasks = [ GenreTask( make_correct_link(self.link, glink)) for glink in Retriever.get_genres_links(soup) ]
self.tasks = tasks
return True
def execute(self,html):
soup = get_soup(html)
bookinfos = [ Retriever.postprocess_bookinfo(raw_bookinfo,self.link, self.genre) \
for raw_bookinfo in Retriever.get_bookinfos(soup) ]
self.tasks = [ BookSavingTask(book_info) for book_info in bookinfos ]
return True
class EventHandler(object):
g = 127008
displayCount = -1
sig_cnt = -1
speed_limit_flag = False
def __init__(self, car):
self.car = car
self.rules = [['1',['signal:RED'],['acceleration:N']], # rule base for signal, stop sign and speed limit
['2',['signal:AMBER'],['acceleration:N']],
['3',['signal:GREEN'],['acceleration:Y']],
['4',['sign:STOP'],['acceleration:N']],
['5',['speed:Y'],['aceleration:Y']],
['6',['speed:N'],['acceleration:N']]]
self.evtgen = EventGenerator.EventGenerator() # creating random event generator object
self.rt = Retriever('casebasedplan.txt') # Retriever object for case retrieval
self.exception_event = ExceptionalEvent()
self.laneChanged = False
# Below method handles the basic driving events
def handleEvent(self, event): #all the event handling goes here
action = ''
self.speed_limit = self.car.maxSpeed
if event['turn'] != '' and self.car.currentLane == 'M':
if self.car.distanceCovered >= .65*self.car.laneDist and self.laneChanged == False: # changes lane after distance covered
print("\nAttempting to change lanes...") # crosses the threshold (65% of lane dist)
self.laneChanged = self.handleLaneChange(event)
if 'signal' in event: # checking if signal is present at the end of the lane
signal = event['signal']
if 'sign' in event: # checking for lane signs (speed limit)
sign = event['sign']
if 'speed' in sign:
self.speed_limit = int(sign[sign.find('~')+1:])
if self.speed_limit_flag == False:
print("\nSpeed Limit Sign in view...Speed Limit: "+str(self.speed_limit))
self.handleSpeedSign()
excp_event = self.exception_event.giveExceptionalEvent() # event generator generates exception event
if excp_event != False:
print("\nExceptional Event in Progress...")
self.handleExpCase(excp_event) # method for handling exceptional events
time.sleep(1)
if signal == True: # if signal is present at the end of the lane. Either signal or STOP sign at the end of the lane.
if self.car.remainingDist <= self.getBrakingDist():
print("\nBraking Distance Reached...Signal in view...")
self.evtgen.resetSignal()
time.sleep(2)
action = self.handleSignalStopSign(1, 'SIGNAL', event)
return action
else: # indicates stop sign is present at the end of the lane.
if self.car.remainingDist <= self.getBrakingDist():
print("\nBraking Distance Reached...STOP sign in view...")
time.sleep(2)
action = self.handleSignalStopSign(1, 'STOP', event)
return action
self.speed_limit = self.car.maxSpeed
if(self.car.speed < self.speed_limit): # if speed is less than speed limit then accelerate
self.car.accelerate(1, self.speed_limit)
self.car.move()
return False
# Below method handles the exceptional events
def handleExpCase(self, event):
event.speed['me'] = self.car.speed
retrievedCase = self.rt.findClosestMatch(event) # case retrieved from case base
self.printExcpCase(event,retrievedCase) # prints the details of the event
result = retrievedCase[1][0]
action = result[0]
priority = result[2]
speed_limit = result[3]
if action == 'decelerate':
print("Reducing Speed to speed limit of "+str(speed_limit)+"\n")
else:
print("Increasing Speed to speed limit of "+str(speed_limit)+"\n")
time.sleep(1)
while True:
self.displayFullDtls('Y')
time.sleep(0.1)
if action == 'decelerate':
if self.car.speed > speed_limit:
self.car.decelerate(priority, speed_limit) # decelerate the car
self.car.move()
if speed_limit == 0 and self.car.speed <= 0.35: # if the car's speed goes below 0.35 kmph, reduce speed to 0.
self.car.speed = 0 # This is done because the car's speed never reaches 0, only close to 0.
else:
break
elif action == 'accelerate':
if self.car.speed < speed_limit:
self.car.accelerate(priority, speed_limit) # accelerate the car
self.car.move()
else:
break
print("\nExceptional event concluded...")
if self.car.speed <= self.speed_limit:
temp_str = "increased"
else:
temp_str = "decreased"
if action == 'decelerate':
print("\nSpeed reduced to "+str(self.car.speed)+". Speed will be "+temp_str+" to speed limit: "+\
str(self.speed_limit)+"\n")
else:
print("\nSpeed increased to "+str(self.car.speed)+". Speed will be "+temp_str+" to speed limit: "+\
str(self.speed_limit)+"\n")
time.sleep(1)
# Below method handles the speed sign
def handleSpeedSign(self):
if self.car.speed <= self.speed_limit:
if self.speed_limit_flag == False:
print("Increasing speed to "+str(self.speed_limit)+"\n")
self.speed_limit_flag = True
action = self.getAction('speed:' + 'Y')
else:
if self.speed_limit_flag == False:
print("Reducing speed to "+str(self.speed_limit)+"\n")
self.speed_limit_flag = True
action = self.getAction('speed:' + 'N')
self.changeSpeed(1, action, self.speed_limit)
# Below method returns the action based on the rule
def getAction(self, event):
event_value = event[event.find(':')+1:]
event_type = event[:event.find(':')]
for rule in self.rules:
ante = rule[1][0]
evalue = ante[ante.find(':')+1:]
etype = ante[:ante.find(':')]
if etype == event_type and evalue == event_value: # if event type and event value matches, then return the action
result = rule[2][0]
result_value = result[result.find(':')+1:]
return result_value
#Below method handles the Signal as well as the Stop sign depending on the event type
def handleSignalStopSign(self, priority, event_type, event):
flag = True
is_last = False
turn = event['turn']
if turn == 'D': # checking if this is the last lane i.e. is the destination on this lane
is_last = True
while 1:
time.sleep(Car.Car().sleepTime)
if event_type == 'SIGNAL': # if event type is Signal
currentSignal = self.evtgen.probeSignal() # probe the event value generator for signal value
if self.laneChanged == False:
self.laneChanged = self.handleLaneChange(event) # handle lane change if lane not already changed
if event_type == 'SIGNAL':
self.displayFullDtls('N',currentSignal)
action = self.getAction('signal:' + currentSignal)
elif event_type == 'STOP':
action = self.getAction('sign:' + event_type)
if action == 'Y':
speed_limit = self.car.maxSpeed
else:
speed_limit = 0
flag = self.changeSpeed(priority, action, speed_limit) #adjust speed based on the action (acceleration/deceleration)
if flag == False:
self.car.speed = 0 # car has stopped
break
else:
self.displayFullDtls('N')
if self.car.distanceCovered >= self.car.laneDist: # checking if the lane distance has been reached
print("\nLane Distance Reached")
if is_last == False:
return False
return True
print("Lane Distance covered: " + str(self.car.distanceCovered*1000)),
print(" Speed: " + str(self.car.speed)),
print(" Remaining Lane Distance: "+str(self.car.remainingDist*1000))
print("\nCar STOPPED...")
if is_last == False:
if event_type == 'SIGNAL':
print("Waiting for signal to turn GREEN...\n")
elif event_type == 'STOP':
print("Waiting to move...\n")
time.sleep(2)
if is_last == False: # not the last lane
while 1:
if event_type == 'SIGNAL':
signal = self.evtgen.probeSignal() #probe for signal till "GREEN" is received
elif event_type == 'STOP':
signal = self.evtgen.probeAllClear() #probe for all clear signal from the value generator
if signal == 'GREEN': # if signal is GREEN, accelerate the car and start moving
while 1:
self.car.accelerate(1, self.speed_limit)
self.car.move()
self.displayFullDtls('N')
if self.car.distanceCovered >= self.car.laneDist:
print("Lane Distance covered: " + str(self.car.distanceCovered*1000)),
print(" Speed: " + str(self.car.speed)),
print(" Remaining Lane Distance: "+str(self.car.remainingDist*1000))
print("\nLane Distance Reached")
time.sleep(2)
return False # Once lane distance is reached, return back to caller
return True
# Below method adjusts the speed of the car based on the priority
def changeSpeed(self, priority, acc_yn, speed_limit): # acc_yn: 'Y' - Acceleration, 'N' - Deceleration
if acc_yn == 'N':
self.car.decelerate(priority, speed_limit)
self.car.move()
if self.car.speed < 0.35 or self.car.remainingDist <= 0.001:
return False
else:
if(self.car.speed < speed_limit):
self.car.accelerate(1, speed_limit)
else:
self.car.decelerate(1, speed_limit)
self.car.move()
return True
# braking distance - distance at which the brakes should be applied to stop the car
def getBrakingDist(self):
brakingDistance = self.car.speed*self.car.speed/2/0.7/self.g
return brakingDistance
# Below method handles the lane change
def handleLaneChange(self, event):
changeLane = ''
laneChangeRules = [[{'lane':1,'turn':'L', 'car':'Y'},'notrequired'], # rules for lane change
[{'lane':1, 'turn':'R', 'car':'Y'},'notrequired'],
[{'lane':1, 'turn':'L', 'car':'N'},'notrequired'],
[{'lane':1, 'turn':'R', 'car':'N'},'notrequired'],
[{'lane':2, 'turn':'L', 'car':'Y'},'no'],
[{'lane':2,'turn':'R','car':'Y'},'notrequired'],
[{'lane':2,'turn':'R','car':'N'},'notrequired'],
[{'lane':2,'turn':'L','car':'N'},'yes'],
[{'lane':3,'turn':'R','car':'Y'}, 'no'],
[{'lane':3,'turn':'L','car':'Y'}, 'no'],
[{'lane':3,'turn':'R','car':'N'}, 'yes'],
[{'lane':3,'turn':'L','car':'N'}, 'yes']]
turn = event.get('turn')
lane = event.get('lane')
car = self.evtgen.checkMirror() # probe value generator to check if its safe to change the lane
for rules in laneChangeRules:
ante = rules[0]
if turn == ante.get('turn') and lane == ante.get('lane') and car == ante.get('car'):
changeLane = rules[1]
break
if changeLane == 'yes':
print "Lane change successful...\n"
time.sleep(2)
return True
elif changeLane == 'notrequired':
print "No need to change lanes but turn ahead...\n"
time.sleep(2)
return True
elif changeLane == 'no':
print "Cannot change lane right now...\n"
time.sleep(2)
return False
# Below method displays the full or partial output based on the argument 'full_yn'. Required as output is displayed very often.
# full_yn = 'Y' is used when the change in speed needs to be displayed when the priority for deceleration is high.
def displayFullDtls(self, full_yn, signal_color = ''):
displayLimit = 20 # counter used to limit the number of display
signalLimit = 500 # counter used to limit the number of display while probing signal
if signal_color != '':
self.sig_cnt = self.sig_cnt + 1
if self.sig_cnt%signalLimit == 0:
print("Current Signal: "+signal_color+". Reducing the speed of the car...\n")
if self.sig_cnt != 0:
self.sig_cnt = -1
else:
if full_yn == 'N':
self.displayCount = self.displayCount + 1
if self.displayCount%displayLimit == 0:
print("Lane Distance covered: " + str(self.car.distanceCovered*1000)),
print(" Speed: " + str(self.car.speed)),
print(" Remaining Lane Distance: "+str(self.car.remainingDist*1000))
if self.displayCount != 0:
self.displayCount = -1
else:
print("Lane Distance covered: " + str(self.car.distanceCovered*1000)),
print(" Speed: " + str(self.car.speed)),
print(" Remaining Lane Distance: "+str(self.car.remainingDist*1000))
# Below method prints the details of the exceptional case - the occurred event and the retrieved case
def printExcpCase(self, event, retrievedCase):
print("Object: "+str(event.target))
print("Object Distance from Car: "+str(abs(event.distance[event.target])))
print("Object Speed: "+str(event.speed[event.target]))
print("Object Direction wrt Car: "+str(event.direction[event.target]))
print("")
print("Retrieved Case:")
if len(retrievedCase[0]) == 0:
print("No Similar Case found. Applying Default Case...\n")
else:
object = retrievedCase[0][2]
object = object[object.find('=')+1:]
dist = retrievedCase[0][0]
dist = dist[dist.find(':')+1:dist.find('}')]
dist = dist.strip(' ')
dir = retrievedCase[0][1]
dir = dir[dir.find(':')+1:dir.find('}')]
dir = dir.strip(' ')
speed = retrievedCase[0][4]
speed = speed[speed.find('{')+1:speed.find('}')]
print("Object: "+object)
print("Distance from Car: "+str(abs(float(dist))))
print("Direction wrt Car: "+dir)
print("Speed of Car and Object: "+speed)
print("")
time.sleep(1)
class EventHandler(object):
g = 127008
displayCount = -1
sig_cnt = -1
speed_limit_flag = False
def __init__(self, car):
self.car = car
self.rules = [
['1', ['signal:RED'], ['acceleration:N']
], # rule base for signal, stop sign and speed limit
['2', ['signal:AMBER'], ['acceleration:N']],
['3', ['signal:GREEN'], ['acceleration:Y']],
['4', ['sign:STOP'], ['acceleration:N']],
['5', ['speed:Y'], ['aceleration:Y']],
['6', ['speed:N'], ['acceleration:N']]
]
self.evtgen = EventGenerator.EventGenerator(
) # creating random event generator object
self.rt = Retriever(
'casebasedplan.txt') # Retriever object for case retrieval
self.exception_event = ExceptionalEvent()
self.laneChanged = False
# Below method handles the basic driving events
def handleEvent(self, event): #all the event handling goes here
action = ''
self.speed_limit = self.car.maxSpeed
if event['turn'] != '' and self.car.currentLane == 'M':
if self.car.distanceCovered >= .65 * self.car.laneDist and self.laneChanged == False: # changes lane after distance covered
print("\nAttempting to change lanes..."
) # crosses the threshold (65% of lane dist)
self.laneChanged = self.handleLaneChange(event)
if 'signal' in event: # checking if signal is present at the end of the lane
signal = event['signal']
if 'sign' in event: # checking for lane signs (speed limit)
sign = event['sign']
if 'speed' in sign:
self.speed_limit = int(sign[sign.find('~') + 1:])
if self.speed_limit_flag == False:
print("\nSpeed Limit Sign in view...Speed Limit: " +
str(self.speed_limit))
self.handleSpeedSign()
excp_event = self.exception_event.giveExceptionalEvent(
) # event generator generates exception event
if excp_event != False:
print("\nExceptional Event in Progress...")
self.handleExpCase(
excp_event) # method for handling exceptional events
time.sleep(1)
if signal == True: # if signal is present at the end of the lane. Either signal or STOP sign at the end of the lane.
if self.car.remainingDist <= self.getBrakingDist():
print("\nBraking Distance Reached...Signal in view...")
self.evtgen.resetSignal()
time.sleep(2)
action = self.handleSignalStopSign(1, 'SIGNAL', event)
return action
else: # indicates stop sign is present at the end of the lane.
if self.car.remainingDist <= self.getBrakingDist():
print("\nBraking Distance Reached...STOP sign in view...")
time.sleep(2)
action = self.handleSignalStopSign(1, 'STOP', event)
return action
self.speed_limit = self.car.maxSpeed
if (self.car.speed < self.speed_limit
): # if speed is less than speed limit then accelerate
self.car.accelerate(1, self.speed_limit)
self.car.move()
return False
# Below method handles the exceptional events
def handleExpCase(self, event):
event.speed['me'] = self.car.speed
retrievedCase = self.rt.findClosestMatch(
event) # case retrieved from case base
self.printExcpCase(event,
retrievedCase) # prints the details of the event
result = retrievedCase[1][0]
action = result[0]
priority = result[2]
speed_limit = result[3]
if action == 'decelerate':
print("Reducing Speed to speed limit of " + str(speed_limit) +
"\n")
else:
print("Increasing Speed to speed limit of " + str(speed_limit) +
"\n")
time.sleep(1)
while True:
self.displayFullDtls('Y')
time.sleep(0.1)
if action == 'decelerate':
if self.car.speed > speed_limit:
self.car.decelerate(priority,
speed_limit) # decelerate the car
self.car.move()
if speed_limit == 0 and self.car.speed <= 0.35: # if the car's speed goes below 0.35 kmph, reduce speed to 0.
self.car.speed = 0 # This is done because the car's speed never reaches 0, only close to 0.
else:
break
elif action == 'accelerate':
if self.car.speed < speed_limit:
self.car.accelerate(priority,
speed_limit) # accelerate the car
self.car.move()
else:
break
print("\nExceptional event concluded...")
if self.car.speed <= self.speed_limit:
temp_str = "increased"
else:
temp_str = "decreased"
if action == 'decelerate':
print("\nSpeed reduced to "+str(self.car.speed)+". Speed will be "+temp_str+" to speed limit: "+\
str(self.speed_limit)+"\n")
else:
print("\nSpeed increased to "+str(self.car.speed)+". Speed will be "+temp_str+" to speed limit: "+\
str(self.speed_limit)+"\n")
time.sleep(1)
# Below method handles the speed sign
def handleSpeedSign(self):
if self.car.speed <= self.speed_limit:
if self.speed_limit_flag == False:
print("Increasing speed to " + str(self.speed_limit) + "\n")
self.speed_limit_flag = True
action = self.getAction('speed:' + 'Y')
else:
if self.speed_limit_flag == False:
print("Reducing speed to " + str(self.speed_limit) + "\n")
self.speed_limit_flag = True
action = self.getAction('speed:' + 'N')
self.changeSpeed(1, action, self.speed_limit)
# Below method returns the action based on the rule
def getAction(self, event):
event_value = event[event.find(':') + 1:]
event_type = event[:event.find(':')]
for rule in self.rules:
ante = rule[1][0]
evalue = ante[ante.find(':') + 1:]
etype = ante[:ante.find(':')]
if etype == event_type and evalue == event_value: # if event type and event value matches, then return the action
result = rule[2][0]
result_value = result[result.find(':') + 1:]
return result_value
#Below method handles the Signal as well as the Stop sign depending on the event type
def handleSignalStopSign(self, priority, event_type, event):
flag = True
is_last = False
turn = event['turn']
if turn == 'D': # checking if this is the last lane i.e. is the destination on this lane
is_last = True
while 1:
time.sleep(Car.Car().sleepTime)
if event_type == 'SIGNAL': # if event type is Signal
currentSignal = self.evtgen.probeSignal(
) # probe the event value generator for signal value
if self.laneChanged == False:
self.laneChanged = self.handleLaneChange(
event) # handle lane change if lane not already changed
if event_type == 'SIGNAL':
self.displayFullDtls('N', currentSignal)
action = self.getAction('signal:' + currentSignal)
elif event_type == 'STOP':
action = self.getAction('sign:' + event_type)
if action == 'Y':
speed_limit = self.car.maxSpeed
else:
speed_limit = 0
flag = self.changeSpeed(
priority, action, speed_limit
) #adjust speed based on the action (acceleration/deceleration)
if flag == False:
self.car.speed = 0 # car has stopped
break
else:
self.displayFullDtls('N')
if self.car.distanceCovered >= self.car.laneDist: # checking if the lane distance has been reached
print("\nLane Distance Reached")
if is_last == False:
return False
return True
print("Lane Distance covered: " +
str(self.car.distanceCovered * 1000)),
print(" Speed: " + str(self.car.speed)),
print(" Remaining Lane Distance: " +
str(self.car.remainingDist * 1000))
print("\nCar STOPPED...")
if is_last == False:
if event_type == 'SIGNAL':
print("Waiting for signal to turn GREEN...\n")
elif event_type == 'STOP':
print("Waiting to move...\n")
time.sleep(2)
if is_last == False: # not the last lane
while 1:
if event_type == 'SIGNAL':
signal = self.evtgen.probeSignal(
) #probe for signal till "GREEN" is received
elif event_type == 'STOP':
signal = self.evtgen.probeAllClear(
) #probe for all clear signal from the value generator
if signal == 'GREEN': # if signal is GREEN, accelerate the car and start moving
while 1:
self.car.accelerate(1, self.speed_limit)
self.car.move()
self.displayFullDtls('N')
if self.car.distanceCovered >= self.car.laneDist:
print("Lane Distance covered: " +
str(self.car.distanceCovered * 1000)),
print(" Speed: " + str(self.car.speed)),
print(" Remaining Lane Distance: " +
str(self.car.remainingDist * 1000))
print("\nLane Distance Reached")
time.sleep(2)
return False # Once lane distance is reached, return back to caller
return True
# Below method adjusts the speed of the car based on the priority
def changeSpeed(
self, priority, acc_yn,
speed_limit): # acc_yn: 'Y' - Acceleration, 'N' - Deceleration
if acc_yn == 'N':
self.car.decelerate(priority, speed_limit)
self.car.move()
if self.car.speed < 0.35 or self.car.remainingDist <= 0.001:
return False
else:
if (self.car.speed < speed_limit):
self.car.accelerate(1, speed_limit)
else:
self.car.decelerate(1, speed_limit)
self.car.move()
return True
# braking distance - distance at which the brakes should be applied to stop the car
def getBrakingDist(self):
brakingDistance = self.car.speed * self.car.speed / 2 / 0.7 / self.g
return brakingDistance
# Below method handles the lane change
def handleLaneChange(self, event):
changeLane = ''
laneChangeRules = [
[{
'lane': 1,
'turn': 'L',
'car': 'Y'
}, 'notrequired'], # rules for lane change
[{
'lane': 1,
'turn': 'R',
'car': 'Y'
}, 'notrequired'],
[{
'lane': 1,
'turn': 'L',
'car': 'N'
}, 'notrequired'],
[{
'lane': 1,
'turn': 'R',
'car': 'N'
}, 'notrequired'],
[{
'lane': 2,
'turn': 'L',
'car': 'Y'
}, 'no'],
[{
'lane': 2,
'turn': 'R',
'car': 'Y'
}, 'notrequired'],
[{
'lane': 2,
'turn': 'R',
'car': 'N'
}, 'notrequired'],
[{
'lane': 2,
'turn': 'L',
'car': 'N'
}, 'yes'],
[{
'lane': 3,
'turn': 'R',
'car': 'Y'
}, 'no'],
[{
'lane': 3,
'turn': 'L',
'car': 'Y'
}, 'no'],
[{
'lane': 3,
'turn': 'R',
'car': 'N'
}, 'yes'],
[{
'lane': 3,
'turn': 'L',
'car': 'N'
}, 'yes']
]
turn = event.get('turn')
lane = event.get('lane')
car = self.evtgen.checkMirror(
) # probe value generator to check if its safe to change the lane
for rules in laneChangeRules:
ante = rules[0]
if turn == ante.get('turn') and lane == ante.get(
'lane') and car == ante.get('car'):
changeLane = rules[1]
break
if changeLane == 'yes':
print "Lane change successful...\n"
time.sleep(2)
return True
elif changeLane == 'notrequired':
print "No need to change lanes but turn ahead...\n"
time.sleep(2)
return True
elif changeLane == 'no':
print "Cannot change lane right now...\n"
time.sleep(2)
return False
# Below method displays the full or partial output based on the argument 'full_yn'. Required as output is displayed very often.
# full_yn = 'Y' is used when the change in speed needs to be displayed when the priority for deceleration is high.
def displayFullDtls(self, full_yn, signal_color=''):
displayLimit = 20 # counter used to limit the number of display
signalLimit = 500 # counter used to limit the number of display while probing signal
if signal_color != '':
self.sig_cnt = self.sig_cnt + 1
if self.sig_cnt % signalLimit == 0:
print("Current Signal: " + signal_color +
". Reducing the speed of the car...\n")
if self.sig_cnt != 0:
self.sig_cnt = -1
else:
if full_yn == 'N':
self.displayCount = self.displayCount + 1
if self.displayCount % displayLimit == 0:
print("Lane Distance covered: " +
str(self.car.distanceCovered * 1000)),
print(" Speed: " + str(self.car.speed)),
print(" Remaining Lane Distance: " +
str(self.car.remainingDist * 1000))
if self.displayCount != 0:
self.displayCount = -1
else:
print("Lane Distance covered: " +
str(self.car.distanceCovered * 1000)),
print(" Speed: " + str(self.car.speed)),
print(" Remaining Lane Distance: " +
str(self.car.remainingDist * 1000))
# Below method prints the details of the exceptional case - the occurred event and the retrieved case
def printExcpCase(self, event, retrievedCase):
print("Object: " + str(event.target))
print("Object Distance from Car: " +
str(abs(event.distance[event.target])))
print("Object Speed: " + str(event.speed[event.target]))
print("Object Direction wrt Car: " +
str(event.direction[event.target]))
print("")
print("Retrieved Case:")
if len(retrievedCase[0]) == 0:
print("No Similar Case found. Applying Default Case...\n")
else:
object = retrievedCase[0][2]
object = object[object.find('=') + 1:]
dist = retrievedCase[0][0]
dist = dist[dist.find(':') + 1:dist.find('}')]
dist = dist.strip(' ')
dir = retrievedCase[0][1]
dir = dir[dir.find(':') + 1:dir.find('}')]
dir = dir.strip(' ')
speed = retrievedCase[0][4]
speed = speed[speed.find('{') + 1:speed.find('}')]
print("Object: " + object)
print("Distance from Car: " + str(abs(float(dist))))
print("Direction wrt Car: " + dir)
print("Speed of Car and Object: " + speed)
print("")
time.sleep(1)
from Retriever import Retriever
R = Retriever()
# pagerank updates for random names
res = R.fetch_objects(size=1000)
print(res.keys())
n_iterations = 10000
d = 0.7
n = float(len(res.keys()))
for i in range(n_iterations):
# for each name...
for k, v in res.items():
# calculate pagerank...
updated_prob = (1 - d) * 1 / n
# ...by inspecting its parents
for parent_node in v.parents:
# parents with high pageranks but few outbound are best
updated_prob += d * (parent_node.pagerank) / parent_node.n_children
# update node's pagerank
v.update_pagerank(updated_prob)
if i % (n_iterations / 5) == 0:
print("iteration", i)
R.put_objects(res)