def head_tilt_async(self, degrees):
"""Tilt Dash/Cue's head up or down.
See Also: Robot.head_tilt()
Returns: wonder.future.Future object.
"""
if degrees > 7:
degrees = 7
if degrees < -22.5:
degrees = -22.5
head_tilt_threshold = 2.0
self._head_tilt(degrees)
fut = future.Future()
call_time = time.time()
head_tilt_timeout = 1.0
def head_tilt_done_cb(sensor_obj):
if (time.time() - call_time) < MIN_TIMEOUT:
return True
if (time.time() - call_time) > head_tilt_timeout:
fut.set_result(None)
return False
try:
tilt_angle = sensor_obj['HEAD_POSITION_TILT']['degree']
except KeyError:
return True
if abs(tilt_angle - degrees) < head_tilt_threshold:
fut.set_result(None)
return False
else:
return True
self._add_sensor_event_listener(head_tilt_done_cb)
return fut
def head_pan_async(self, degrees):
""" Pan Dash/Cue's head (asynchronous)
See also: Robot.head_pan()
Returns: A wonder.future.Future object.
"""
if degrees > 120:
degrees = 120
if degrees < -120:
degrees = -120
head_pan_threshold = 2.0
self._head_pan(degrees)
fut = future.Future()
call_time = time.time()
head_pan_timeout = 1.0
def head_pan_done_cb(sensor_obj):
if (time.time() - call_time) < MIN_TIMEOUT:
return True
if (time.time() - call_time) > head_pan_timeout:
fut.set_result(None)
return False
try:
pan_angle = sensor_obj['HEAD_POSITION_PAN']['degree']
except KeyError:
return True
if abs(pan_angle - degrees) < head_pan_threshold:
fut.set_result(None)
return False
else:
return True
self._add_sensor_event_listener(head_pan_done_cb)
return fut
def pose_async(self, x, y, degrees, pose_time):
"""Move the robot to a new position (asynchronous)
See also: robot.pose()
Returns: a wonder.future.Future object.
"""
self._pose(x, y, degrees, pose_time)
fut = future.Future()
call_time = time.time()
def pose_done_cb(sensor_obj):
if (time.time() - call_time) < MIN_TIMEOUT:
return True
try:
# The watermark field is "sparse" so it may not appear in every sensor packet
if sensor_obj['BODY_POSE']['watermark'] == 255:
fut.set_result(None)
return False
else:
return True
except KeyError:
return True
self._add_sensor_event_listener(pose_done_cb)
return fut
def wait_until_robot_tilted(self):
"""Halt the program until the robot is tilted"""
fut = future.Future()
def _cb(tilted):
if tilted:
fut.set_result(None)
return False
return True
self.on_robot_tilted(_cb)
fut.wait()
def wait_until_button(self, button_id):
# Wait for a button press.
# button_id: A string. One of 'BUTTON_MAIN', 'BUTTON_1', 'BUTTON_2', 'BUTTON_3'
fut = future.Future()
def _cb(button_down):
if button_down:
fut.set_result(None)
return False
return True
self.on_button(button_id, _cb)
fut.wait()
def wait_until_voice(self):
"""Halt the program until a voice is heard.
Example:
import wonder
robot = wonder.Robot()
print("Please speak.")
robot.wait_until_voice()
print("Voice detected!")
"""
fut = future.Future()
def _cb():
fut.set_result(None)
return False
self.on_voice_heard(_cb)
fut.wait()
def wait_until_clap(self):
"""Halt the program until a clap is heard.
Example:
import wonder
robot = wonder.Robot()
print("Please clap.")
robot.wait_until_clap()
print("Clap detected!")
"""
fut = future.Future()
def _cb():
fut.set_result(None)
return False
self.on_clap_heard(_cb)
fut.wait()
def sound_async(self, filename, volume):
"""The asynchronous version of Robot.sound().
See also: Robot.sound()
Returns:
A Future object. See: future.Future() in :mod:`future`
"""
self._sound(filename, volume)
fut = future.Future()
call_time = time.time()
def sound_done_cb(sensor_obj):
if (time.time() - call_time) < MIN_TIMEOUT:
return True
if not sensor_obj.SOUND_PLAYING.flag:
fut.set_result(None)
return False
else:
return True
self._add_sensor_event_listener(sound_done_cb)
return fut
keyRast.nodataToZero()
regionRast.nodataToZero()
total=keyRast.sum()
#Creates a raster with all cells within a region given the regions fraction of the national total
totFractionRast=regionRast.replace(totFractionList)
totFractionRast.nodataToZero()
#For all regions, calculate the regional sum, set the key values to key/regSum
resKeyArray=numpy.zeros(keyRast.data.shape)
maskArray=numpy.zeros(regionRast.data.shape)
print "Regionalizing key raster"
print "Original sum: ",total
for code in codesInRegionRast:
totalEmis=regionalTotals.totalDict[str(int(code))]
emission=totalEmis.emisDict[subst]
print "Regionalizing region: " + str(code)+" with the regional total: ",emission
regDistThread=future.Future(distributeRegion,[regionRast.data,keyRast.data,code,resKeyArray,emission])
resKeyArray=regDistThread()
keyRast.data=resKeyArray
resultRast=(totFractionRast*keyRast)*regionalTotals.regSum(subst)
#Assure that the total is unchanged
resultRast=(resultRast/resultRast.sum())*total
resultRasterName=path.join(resultRasterPath,"redist_"+keyRastPrefix+subst+keyRastPostfix)
resultRast.write(resultRasterName)
print "wrote result for substance: ",subst
import sys
import os
sys.path.append("../util")
import util
import future
#google_news_rss_url =
feed_url_list = [
"https://www.google.com/alerts/feeds/13351239696798776176/3559988229559370877",
"http://feeds.reuters.com/reuters/businessNews",
]
future_calls = [
future.Future(feedparser.parse, rss_url) for rss_url in feed_url_list
]
feeds = [future_obj() for future_obj in future_calls]
entries = []
for feed in feeds:
entries.extend(feed["items"])
#for entry in entries:
# print(entry.keys())
# if not "date_parsed" in entry:
# entry["date_parsed"] = entry["published"]
try:
sorted_entries = sorted(entries,
key=lambda entry: parser.parse(entry["published"]))
print "Summing sector: ", sector, "year: ", year, "substance: ", substance
headerYear.append(year)
headerSubstance.append(substance)
headerSector.append(sector)
emisRast.nodataToZero()
if flippa:
emisRast.flip()
print "Finding all mask codes"
for i in range(len(maskCodes)):
ortRast = PyRaster.raster()
code = maskCodes[i]
#print "summing for mask code: ", code
sumThread = future.Future(
sumRegion, [maskRast.data, emisRast.data, code])
sum = sumThread()
rows[i].append(sum)
except:
print "No ", substance, " in sector ", sector, " year: ", year
output = open(summaryFile, 'w')
for i in range(len(headerYear)):
output.write(headerYear[i] + "\t")
output.write("\n")
for i in range(len(headerSector)):
output.write(headerSector[i] + "\t")
output.write("\n")
def clean_html(content):
soup = BeautifulSoup(content, 'html.parser')
return soup.get_text()[:850]
def get_date(entry):
date = entry.get('published_parsed') or entry.get('date_parsed') or entry.get('updated_parsed')
return f"{date[0]}-{date[1]}-{date[2]} {date[3]}:{date[4]}"
def get_content(entry):
if 'content' in entry and len(entry.get('content')) > 0:
return entry.get('content')[0]['value']
elif 'summary' in entry:
return entry.get('summary')
if __name__ == '__main__':
future_calls = [future.Future(feedparser.parse, feed) for feed in urls]
feeds = [feed() for feed in future_calls]
entries = []
for feed in feeds:
if not feed or 'items' not in feed:
print('<!--{}-->'.format(feed))
continue
for item in feed['items']:
item['feed'] = feed.feed
entries.extend(feed['items'])
sorted_entries = sorted(entries, key=lambda x: x.get('published_parsed', None) or x.get('date_parsed', 0))
sorted_entries.reverse() # Most recent first
doc, tag, text = yattag.Doc().tagtext()
