def __init__(self, dot_op, iter_max=1000, eps_min=1.0e-10, logger=logger_basic):
self.dot_op = dot_op
self.iter_max = iter_max
self.eps_min = eps_min
self.logger = logger
self.watch = util.stopwatch()
def solve(self, soltn, tpn_map):
self.watch = util.stopwatch()
self.iter_tot = 0
self.prev_eps = None
logger = (lambda iter, eps, stage=self.bstage, **kwargs: self.log(
stage, iter, eps, **kwargs))
monitor = cd_monitors.monitor_basic(self.opfilt.dot_op(),
logger=logger,
iter_max=self.bstage.iter_max,
eps_min=self.bstage.eps_min)
tpn_alm = self.opfilt.calc_prep(tpn_map, self.s_cls, self.n_inv_filt)
fwd_op = self.opfilt.fwd_op(self.s_cls, self.n_inv_filt)
cd_solve.cd_solve(soltn,
tpn_alm,
fwd_op,
self.bstage.pre_ops,
self.opfilt.dot_op(),
monitor,
tr=self.bstage.tr,
cache=self.bstage.cache)
self.opfilt.apply_fini(soltn, self.s_cls, self.n_inv_filt)
def levelup(client, levels, is_natural=True, warp=True):
def run():
change_stats(client, levels)
change_skills(client, levels)
change_keymap(client, levels)
change_equips(client, levels)
send_levelup(client)
change_job(client, levels)
if 1 in levels:
handle_rebirth(client, is_natural)
if warp and change_map(client, levels):
stopwatch(0.8, run)
return True
else:
run()
def use_skill(client, skill_id, wzskill):
char = client.s.char
if skill_id in char.skills.active:
char.skills.active.pop(skill_id).cancel()
data = skilldata.get(skill_id)
if data is not None:
types, attrs = data
attrs = map(wzskill.get, attrs)
client.send('use_skill', skill_id, wzskill.time * 1000, types, attrs)
char.skills.active[skill_id] = stopwatch(wzskill.time,
end_skill,
client,
skill_id,
is_timer=True)
return True
def solve( self, soltn, tpn_map ):
self.watch = util.stopwatch()
self.iter_tot = 0
self.prev_eps = None
logger = (lambda iter, eps, stage=self.bstage, **kwargs :
self.log(stage, iter, eps, **kwargs))
monitor = cd_monitors.monitor_basic(self.opfilt.dot_op(), logger=logger, iter_max=self.bstage.iter_max, eps_min=self.bstage.eps_min)
tpn_alm = self.opfilt.calc_prep(tpn_map, self.s_cls, self.n_inv_filt)
fwd_op = self.opfilt.fwd_op(self.s_cls, self.n_inv_filt)
cd_solve.cd_solve( soltn, tpn_alm,
fwd_op, self.bstage.pre_ops, self.opfilt.dot_op(), monitor,
tr=self.bstage.tr, cache=self.bstage.cache )
self.opfilt.apply_fini( soltn, self.s_cls, self.n_inv_filt )
"""
Created on Mar 31, 2012
@author: erik
"""
import ctypes
import os
import util
if __name__ == "__main__":
# A simple stopwatch I made for measuring execution time.
sw = util.stopwatch()
LIB_FILENAME = "libcloudiness.so"
LIBPATH = os.path.join(os.getcwd(), "lib", LIB_FILENAME)
# Load the shared library. This library has been compiled with some
# particular flags. Look at the Makefile accompanying it.
libcloudiness = ctypes.cdll.LoadLibrary(LIBPATH)
# Download the image
image = util.download_image("http://i.imgur.com/MDsb5.jpg")
image_size = len(image)
# This is one of the functions declared in the library
f = libcloudiness.calc_cloudiness
f.restype = ctypes.c_double
# I think all functions default to int as return type, therefore I set this
# to match the actual return type of the C function (using ctypes.c_<type>)
# cloudiness.restype = ctypes.c_double
def do_GET(self):
try:
client_hostname = self.headers["Client-Hostname"]
# get permission from C3Server
if not self.server.get_serve_permission(client_hostname):
# send 503 service unavailable response
self.send_response(httplib.SERVICE_UNAVAILABLE,
self.responses[httplib.OK][0])
msg = "Can't serve you. C3 told me not to."
self.send_header("Content-Type", "text/plain")
self.send_header("Content-Length", len(msg))
self.end_headers()
self.wfile.write(msg)
return
# permission was granted! proceed
# read parameters which are found as headers in the HTTP request
cloudiness_forecast_time = self.headers["Cloudiness-Forecast-Time"]
cloudiness_sample_size = self.headers["Cloudiness-Sample-Size"]
sample_size = int(cloudiness_sample_size)
forecast_dt = datetime.datetime.strptime(cloudiness_forecast_time,
'%Y-%m-%dT%H:%M')
if forecast_dt.hour == 23 and forecast_dt.minute == 45:
pass
# sample size defines how many surrounding images should be used
# when doing the cloudiness calculation and finding an average
if sample_size > 0:
sample_times = date_helper.get_surrounding_datetimes_n_years(
forecast_dt,
constants.WTHR_IMG_FREQ_MINS,
constants.WTHR_IMG_FREQ_MINS * sample_size,
sample_size)
# OLD VARIANT: ONLY SAMPLE SAME YEAR
# sample_times = get_surrounding_datetimes(forecast_dt,
# constants.WTHR_IMG_FREQ_MINS,
# constants.WTHR_IMG_FREQ_MINS * sample_size)
else:
sample_times = [forecast_dt]
sw = util.stopwatch()
sw.start()
# temporary dict to hold time/cloudiness key/value pairs
t_c_temp_dict = {}
# temporary dict to hold time/raw-image key/value pairs
t_img_temp_dict = {}
# for each sample time, check cache for cloudiness value
# download image and calc if not there
actual_image = None
for t in sample_times:
# Check cache.
t_c_temp_dict[t] = self._getCachedCloudinessValue(t)
if t_c_temp_dict[t] != None:
continue # Cache hit!
else:
# No cigar. Have to download image and calculate.
t_img_temp_dict[t] = self.server.dl_weather_image(t)
if not t_img_temp_dict[t]: continue # couldn't get image
if t == forecast_dt:
actual_image = t_img_temp_dict[t]
sw.stop()
time_taken_imgdl = sw.getresult_ms()
cloudiness_values = []
for c in t_c_temp_dict.itervalues():
if c != None:
cloudiness_values.append(c)
else:
pass
sw.start()
# Calculate the cloudiness values for all images.
img = None
for t, img in t_img_temp_dict.iteritems():
if img: # Might be None, if the server replied 404 Not Found
cloudiness_value = self.server.get_image_cloudiness(img)
cloudiness_values.append(cloudiness_value)
self._saveCloudinessValue(t, cloudiness_value)
self._saveCloudyImage(cloudiness_value, img)
sw.stop()
time_taken_calc = sw.getresult_ms()
if len(cloudiness_values) == 0:
pass
# the average cloudiness value
cloudiness_value = float(sum(cloudiness_values) /
len(cloudiness_values))
# TODO: find an image that matches the forecasted cloudiness value
if not img:
# first check image cache
img = self._getCachedCloudyImage(cloudiness_value)
if img:
print "Reqtime: %s - Cloudy image cache hit!" % str(cloudiness_forecast_time)
else:
# actually have to download an image...
while img == None:
print "Reqtime: %s - Cache fail, having to DL..." % str(cloudiness_forecast_time)
t = forecast_dt
img = self.server.dl_weather_image(t)
t = date_helper.add_minutes(t,
constants.WTHR_IMG_FREQ_MINS)
forecasted_image = img
if not forecasted_image:
print "I have no image to return!"
raise Exception
actual_cloudiness = self._getCachedCloudinessValue(forecast_dt)
# in case of cache-hit, the actual image is not in memory
if actual_image == None:
sw.start()
actual_image = self.server.dl_weather_image(forecast_dt)
sw.stop()
time_taken_imgdl += sw.getresult_ms()
if actual_image == None:
actual_image = self._getCachedCloudyImage(actual_cloudiness)
if actual_image == None:
actual_image = forecasted_image
# send reponse back to client
# the payload is a blob containing both images.. their sizes
# defined in HTTP headers Blob1-Size and Blob2-Size
self.send_response(httplib.OK, self.responses[httplib.OK][0])
self.send_header("Content-Type", "ela035/2ximageblob")
self.send_header("Content-Length",
len(forecasted_image) + len(actual_image))
self.send_header("Blob1-Size", len(forecasted_image))
self.send_header("Blob2-Size", len(actual_image))
self.send_header("Cloudiness-Forecast", str(cloudiness_value))
self.send_header("Actual-Cloudiness", str(actual_cloudiness))
self.send_header("Image-Download-Time", str(time_taken_imgdl))
self.send_header("Calc-Time", str(time_taken_calc))
self.end_headers()
self.wfile.write(forecasted_image)
self.wfile.write(actual_image)
self.server.imgdltime = time_taken_imgdl
self.server.cloudcalctime = time_taken_calc
except Exception as e:
print e
msg = "Internal server error :-("
self.send_response(httplib.INTERNAL_SERVER_ERROR,
self.responses[httplib.INTERNAL_SERVER_ERROR][0])
self.send_header("Content-Length", len(msg))
self.end_headers()
self.wfile.write(msg)