def main():
parser = optparse.OptionParser(description=__doc__)
parser.add_option(
'-w',
'--rewrite_prefix',
action='append',
default=[],
dest='prefix_map',
metavar='SPEC',
help=('Two path prefixes, separated by colons ' +
'specifying that a file whose (relative) path ' +
'name starts with the first prefix should have ' +
'that prefix replaced by the second prefix to ' +
'form a path relative to the output directory. ' +
'The resulting path is used in the deps mapping ' +
'file path to a list of provided and required ' + 'namespaces.'))
parser.add_option('-o',
'--output_file',
action='store',
default=[],
metavar='SPEC',
help=('Where to output the generated deps file.'))
options, args = parser.parse_args()
path_rewriter = PathRewriter(options.prefix_map)
# Write the generated deps file.
with open(options.output_file, 'w') as output:
for path in args:
js_deps = source.Source(source.GetFileContents(path))
path = path_rewriter.RewritePath(path)
line = 'goog.addDependency(\'%s\', %s, %s);\n' % (
path, sorted(js_deps.provides), sorted(js_deps.requires))
output.write(line)
def _GetRelativePathToSourceDict(root, prefix=''):
"""Scans a top root directory for .js sources.
Args:
root: str, Root directory.
prefix: str, Prefix for returned paths.
Returns:
dict, A map of relative paths (with prefix, if given), to source.Source
objects.
"""
# Remember and restore the cwd when we're done. We work from the root so
# that paths are relative from the root.
start_wd = os.getcwd()
os.chdir(root)
path_to_source = {}
for path in treescan.ScanTreeForJsFiles('.'):
prefixed_path = _NormalizePathSeparators(os.path.join(prefix, path))
path_to_source[prefixed_path] = source.Source(
source.GetFileContents(path))
os.chdir(start_wd)
return path_to_source
def testSourceScan(self):
test_source = source.Source(_TEST_SOURCE)
self.assertEqual(set(['foo', 'foo.test']),
test_source.provides)
self.assertEqual(test_source.requires,
set(['goog.dom', 'goog.events.EventType']))
def testSourceScanBase(self):
test_source = source.Source(_TEST_BASE_SOURCE)
self.assertEqual(set(['goog']),
test_source.provides)
self.assertEqual(test_source.requires, set())
self.assertFalse(test_source.is_goog_module)
def testGoogStatementsInComments(self):
test_source = source.Source(_TEST_COMMENT_SOURCE)
self.assertEqual(set(['foo']),
test_source.provides)
self.assertEqual(set(['goog.events.EventType']),
test_source.requires)
self.assertFalse(test_source.is_goog_module)
def testSourceScanGoogModule(self):
test_source = source.Source(_TEST_MODULE_SOURCE)
self.assertEqual(set(['foo']),
test_source.provides)
self.assertEqual(set(['bar']),
test_source.requires)
self.assertTrue(test_source.is_goog_module)
def main():
"""CLI frontend to MakeDepsFile."""
logging.basicConfig(format=(sys.argv[0] + ': %(message)s'),
level=logging.INFO)
options, args = _GetOptionsParser().parse_args()
logging.warning(
'This utility is deprecated! See '
'https://github.com/google/closure-library/wiki/Migrating-off-Closure-Python-Scripts'
' for more details.')
path_to_source = {}
# Roots without prefixes
for root in options.roots:
path_to_source.update(_GetRelativePathToSourceDict(root))
# Roots with prefixes
for root_and_prefix in options.roots_with_prefix:
root, prefix = _GetPair(root_and_prefix)
path_to_source.update(_GetRelativePathToSourceDict(root,
prefix=prefix))
# Source paths
for path in args:
path_to_source[path] = source.Source(source.GetFileContents(path))
# Source paths with alternate deps paths
for path_with_depspath in options.paths_with_depspath:
srcpath, depspath = _GetPair(path_with_depspath)
path_to_source[depspath] = source.Source(
source.GetFileContents(srcpath))
# Make our output pipe.
if options.output_file:
out = open(options.output_file, 'w')
else:
out = sys.stdout
out.write(('// This file was autogenerated by %s.\n' %
os.path.basename(__file__)))
out.write('// Please do not edit.\n')
out.write(MakeDepsFile(path_to_source))
def __init__(self, lanes, lines):
self.current_time = 0
self.warmup_time = 0
self.delta_t = 0.125
self.last_300 = []
self.last_300_private = []
self.people_source = source.Source(0.2)
self.car_source = source.Source(1)
self.warmup = True
self.init_target_functions(lines)
self.init_lanes(lanes)
self.init_queues()
self.init_elements(lines)
self.listener = None
self.warmup_buses = Set([])
def __init__(self, position, exit_road, blocks_before_turn, speed,
people_carried):
self.position = position
self.delay_time = 0
self.start_time = 0
self.exit_road = exit_road
self.blocks_before_turn = blocks_before_turn
self.speed = speed
self.people_carried = people_carried
self.state = ADVANCE
self.change_lane = source.Source(1)
self.last_delta = 0
def main():
"""CLI frontend to MakeDepsFile."""
logging.basicConfig(format=(sys.argv[0] + ': %(message)s'),
level=logging.INFO)
options, args = _GetOptionsParser().parse_args()
path_to_source = {}
# Roots without prefixes
for root in options.roots:
path_to_source.update(_GetRelativePathToSourceDict(root))
# Roots with prefixes
for root_and_prefix in options.roots_with_prefix:
root, prefix = _GetPair(root_and_prefix)
path_to_source.update(_GetRelativePathToSourceDict(root,
prefix=prefix))
# Source paths
for path in args:
path_to_source[path] = source.Source(source.GetFileContents(path))
# Source paths with alternate deps paths
for path_with_depspath in options.paths_with_depspath:
srcpath, depspath = _GetPair(path_with_depspath)
path_to_source[depspath] = source.Source(
source.GetFileContents(srcpath))
# Make our output pipe.
if options.output_file:
out = open(options.output_file, 'w')
else:
out = sys.stdout
out.write(('// This file was autogenerated by %s.\n' %
os.path.basename(__file__)))
out.write('// Please do not edit.\n')
out.write(MakeDepsFile(path_to_source))
class Receiver:
def __init__(self, nRx, modOrd, N0):
self.nRx = nRx
self.N0 = N0
self.modOrd = modOrd
self.modSyms = utils.getModSym(modOrd)
def step(self, rxSym, H = None, method = 'MMSE'):
noise = utils.cplxRandn(rxSym.shape, self.N0)
rx = rxSym + noise
if method == 'MMSE':
assert (not H is None)
M = np.dot(utils.hermitian(H), np.linalg.inv(np.dot(H, utils.hermitian(H)) + np.eye(H.shape[0]) * self.N0))
est = np.dot(M, rx)
return utils.slice(est, self.modSyms)
if __name__ == '__main__':
rcv = Receiver(3, 2, 1e-7)
import source
import chan
src = source.Source(2, 2)
chan = chan.Channel(2, 3)
txSyms = src.step()
rxSyms = chan.step(txSyms)
demapped = rcv.step(rxSyms, chan.H, 'MMSE')
print("Tx symbols:")
print(txSyms)
print("demapped symbols:")
print(demapped)
# -*- coding: utf-8 -*-
import api
import xbmc
import source
if __name__ == '__main__':
cache_path = xbmc.translatePath('special://temp')
src = source.Source(cache_path)
api.AddonMain(int(sys.argv[1]), src)
def find_sources(self):
"""Algorithm to detect sources for this beam"""
# generate results directory
results_dir = "{0}/{1}/{2}/beam{3}".\
format(self.options["results_filepath"],
self.options["field"],
self.options["date"],
self.beam_num)
if not os.path.isdir(results_dir):
os.makedirs(results_dir)
# Stokes averaged over time
if self.options["verbose"]:
print("Log: Averaging Stokes over time.")
I_data = np.zeros(self.options["num_channels"])
Q_data = np.zeros(self.options["num_channels"])
U_data = np.zeros(self.options["num_channels"])
V_data = np.zeros(self.options["num_channels"])
for i in xrange(self.options["num_channels"]):
if self.channels[i].error: continue
I_data[i], Q_data[i], U_data[i], V_data[i] = \
self.channels[i].average()
if self.options["file_verbose"]:
np.savez(results_dir+"/time_avg",
channel=range(self.options["num_channels"]),
I_data = I_data,
Q_data = Q_data,
U_data = U_data,
V_data = V_data)
chans = range(0,self.options["num_channels"])
plt.stokes_plot(chans, "Channel", I_data, Q_data, U_data,
V_data, results_dir+"/time_avg.png")
# convolve time-avereraged data to detect RFI
if self.options["verbose"]:
print("Log: Performing RFI detection convolution.")
con = np.zeros(2*self.options["rfi_con_width"] + 1)
con[0] = -0.5
con[self.options["rfi_con_width"]] = 1.0
con[-1] = -0.5
I_data = np.convolve(I_data,con,mode="same")
Q_data = np.convolve(Q_data,con,mode="same")
U_data = np.convolve(U_data,con,mode="same")
V_data = np.convolve(V_data,con,mode="same")
if self.options["file_verbose"]:
np.savez(results_dir+"/rfi_conv_time_avg",
channel=range(self.options["num_channels"]),
I_data = I_data,
Q_data = Q_data,
U_data = U_data,
V_data = V_data)
chans = range(0,self.options["num_channels"])
plt.stokes_plot(chans, "Channel", I_data, Q_data, U_data,
V_data,
results_dir+"/rfi_conv_time_avg.png")
# eliminated edge channels
if self.options["verbose"]:
print("Log: eliminating edge channels.")
for i in xrange(self.options["edge_buff_chan"]):
self.channels[i].error=True
self.channels[-1-i].error=True
# determine the minimum mean and std dev in our intervals
interval_width = self.options["num_channels"]/\
self.options["num_intervals"]
for data in [I_data, Q_data, U_data, V_data]:
means = np.array([np.nanmean(data[i:i+interval_width])
for i in
range(0,self.options["num_channels"],
interval_width)])
stddevs = np.array([np.nanstd(data[i:i+interval_width])
for i in
range(0,self.options["num_channels"],
interval_width)])
min_ind = stddevs[stddevs.nonzero()].argmin()
min_stddev = stddevs[min_ind]
min_mean = means[min_ind]
# determine bad channels and flag them
bad_chans = np.where(np.abs(data) > min_mean +\
self.options["rfi_mask"]*min_stddev)[0]
if self.options["verbose"]:
print("Log: eliminated {0} channels with RFI".\
format(len(bad_chans)))
for c in bad_chans:
self.channels[c].error = True
# recompute Stokes averaged over time
if self.options["verbose"]:
print("Log: Recomputing average Stokes over time.")
I_data = np.zeros(self.options["num_channels"])
Q_data = np.zeros(self.options["num_channels"])
U_data = np.zeros(self.options["num_channels"])
V_data = np.zeros(self.options["num_channels"])
for i in xrange(self.options["num_channels"]):
if self.channels[i].error: continue
I_data[i], Q_data[i], U_data[i], V_data[i] = \
self.channels[i].average()
if self.options["file_verbose"]:
np.savez(results_dir+"/clean_time_avg",
channel=range(self.options["num_channels"]),
I_data = I_data,
Q_data = Q_data,
U_data = U_data,
V_data = V_data)
chans = range(0,self.options["num_channels"])
plt.stokes_plot(chans, "Channel", I_data, Q_data, U_data,
V_data,
results_dir+"/clean_time_avg.png")
# now, detect sources in each bin as well as over the full
# bandpass
num_bins = int(self.options["band_width"]/
self.options["bin_width"])+1
chans_per_bin = int(self.options["num_channels"]/num_bins)
for b in range(num_bins+1):
if b == num_bins:
b = 999
start_chan = 0
end_chan = self.options["num_channels"]
else:
start_chan = b*chans_per_bin
end_chan = (b+1)*chans_per_bin
if end_chan > self.options["num_channels"]:
end_chan = self.options["num_channels"]
# check if we're already outside edge buffer
if (end_chan < self.options["edge_buff_chan"] or
start_chan > (self.options["num_channels"] -
self.options["edge_buff_chan"])):
continue
if self.options["verbose"]:
print("Log: Analyzing bin {0}".format(b))
# results directory for this bin
bin_results_dir = results_dir+"/bin{0:03d}".format(b)
if not os.path.isdir(bin_results_dir):
os.makedirs(bin_results_dir)
# Average over channels
if self.options["verbose"]:
print("Log: Averaging Stokes over channels in this bin")
I_data = np.zeros(self.channels[0].num_points)
Q_data = np.zeros(self.channels[0].num_points)
U_data = np.zeros(self.channels[0].num_points)
V_data = np.zeros(self.channels[0].num_points)
num_good_points = 0.
for c in xrange(start_chan,end_chan):
if self.channels[c].error: continue
I_data, Q_data, U_data, V_data = \
self.channels[c].add_points(I_data,Q_data,U_data,
V_data)
num_good_points += 1.
if num_good_points == 0.: continue
I_data /= num_good_points
Q_data /= num_good_points
U_data /= num_good_points
V_data /= num_good_points
if self.options["verbose"]:
print("Log: Correcting coordinates.")
RA, DEC, AST = get_coordinates(self.beam_num,
**self.options)
if self.options["file_verbose"]:
np.savez(bin_results_dir+"/chan_avg",
chan_range=[start_chan,end_chan],
RA = RA,
DEC = DEC,
AST = AST,
I_data = I_data,
Q_data = Q_data,
U_data = U_data,
V_data = V_data)
plt.stokes_plot(AST, "AST", I_data, Q_data, U_data,
V_data,
bin_results_dir+"/chan_avg.png")
# smooth data
if self.options["verbose"]:
print("Log: Performing smoothing convolution.")
angle = np.arange(2*self.options["smooth_con_width"]+1)
angle = angle*10.*np.pi/(2.*self.options["smooth_con_width"])
angle = angle - 5.*np.pi
con = np.sin(angle)/angle
con[self.options["smooth_con_width"]] = 1.
I_data = np.convolve(I_data,con,mode="same")/np.sum(con)
Q_data = np.convolve(Q_data,con,mode="same")/np.sum(con)
U_data = np.convolve(U_data,con,mode="same")/np.sum(con)
V_data = np.convolve(V_data,con,mode="same")/np.sum(con)
# chop off edges after convolution
if self.options["verbose"]:
print("Log: Chopping off edges after convolution")
RA = RA[self.options["edge_buff_time"]:
-self.options["edge_buff_time"]]
DEC = DEC[self.options["edge_buff_time"]:
-self.options["edge_buff_time"]]
AST = AST[self.options["edge_buff_time"]:
-self.options["edge_buff_time"]]
I_data = I_data[self.options["edge_buff_time"]:
-self.options["edge_buff_time"]]
Q_data = Q_data[self.options["edge_buff_time"]:
-self.options["edge_buff_time"]]
U_data = U_data[self.options["edge_buff_time"]:
-self.options["edge_buff_time"]]
V_data = V_data[self.options["edge_buff_time"]:
-self.options["edge_buff_time"]]
if self.options["file_verbose"]:
np.savez(bin_results_dir+"/smooth_chan_avg",
chan_range=[start_chan,end_chan],
RA = RA,
DEC = DEC,
AST = AST,
I_data = I_data,
Q_data = Q_data,
U_data = U_data,
V_data = V_data)
plt.stokes_plot(AST, "AST", I_data, Q_data, U_data,
V_data,
bin_results_dir+"/smooth_chan_avg.png")
# convolve for source detection
if self.options["verbose"]:
print("Log: Performing source detection convolution.")
con = np.zeros(2*self.options["source_con_width"]+1)
con[0] = -0.25
con[self.options["source_con_width"]/2] = -0.25
con[self.options["source_con_width"]] = 1.0
con[3*self.options["source_con_width"]/2] = -0.25
con[-1] = -0.25
I_data_source = np.convolve(I_data,con,mode="same")
if self.options["file_verbose"]:
np.savez(bin_results_dir+"/source_chan_avg",
chan_range=[start_chan,end_chan],
RA = RA,
DEC = DEC,
AST = AST,
I_data = I_data_source)
plt.single_stokes(AST, "AST", I_data_source,
"Stokes I (K)",
bin_results_dir+
"/source_chan_avg.png")
if self.options["verbose"]:
print("Log: Locating sources.")
source_points = np.where(I_data_source >
self.options["source_mask"]*
self.options["sigma"])[0]
# storage for sources
sources = []
# i is the starting point for this source
i=0
while i < len(source_points):
# j is the ending point for this source
j = i+1
# as long as [j] = [j-1] + 1, still on same source
while (j < len(source_points) and
source_points[j] == source_points[j-1] + 1):
j += 1
# get the necessary data for this source
# first find max
this_I_data = I_data_source[source_points[i]:
source_points[j-1]]
if len(this_I_data) == 0:
i = j
continue
# max point in I_data_source array for this source
max_point = this_I_data.argmax() + source_points[i]
# now, get coords and data for fitting
time_end = False
base1_start = (max_point-
self.options["num_source_points"]-
self.options["point_sep"]-
self.options["num_outer_points"])
if base1_start < 0: base1_start = 0
base1_end = base1_start+self.options["num_outer_points"]
if base1_end < 0: base1_end = 0
source_start = max_point-self.options["num_source_points"]
if source_start < 0: source_start = 0
source_end = max_point+self.options["num_source_points"]+1
if source_end > len(AST): source_end = len(AST)
base2_start = (max_point+1+
self.options["num_source_points"]+
self.options["point_sep"])
if base2_start > len(AST): base2_start = len(AST)
base2_end = base2_start+self.options["num_outer_points"]
if base2_end > len(AST): base2_end = len(AST)
# source is near end of observation
if base1_start < 0 or base2_end > len(AST):
time_end = True
this_RA = RA[base1_start:base1_end]
this_RA = np.append(this_RA,RA[source_start:source_end])
this_RA = np.append(this_RA,RA[base2_start:base2_end])
this_DEC = DEC[base1_start:base1_end]
this_DEC = np.append(this_DEC,DEC[source_start:source_end])
this_DEC = np.append(this_DEC,DEC[base2_start:base2_end])
this_AST = AST[base1_start:base1_end]
this_AST = np.append(this_AST,AST[source_start:source_end])
this_AST = np.append(this_AST,AST[base2_start:base2_end])
this_I_data = I_data[base1_start:base1_end]
this_I_data = np.append(this_I_data,I_data[source_start:source_end])
this_I_data = np.append(this_I_data,I_data[base2_start:base2_end])
this_Q_data = Q_data[base1_start:base1_end]
this_Q_data = np.append(this_Q_data,Q_data[source_start:source_end])
this_Q_data = np.append(this_Q_data,Q_data[base2_start:base2_end])
this_U_data = U_data[base1_start:base1_end]
this_U_data = np.append(this_U_data,U_data[source_start:source_end])
this_U_data = np.append(this_U_data,U_data[base2_start:base2_end])
this_V_data = V_data[base1_start:base1_end]
this_V_data = np.append(this_V_data,V_data[source_start:source_end])
this_V_data = np.append(this_V_data,V_data[base2_start:base2_end])
# sstart = max_point-25
# send = max_point+25
# if sstart < 0:
# time_end = True
# sstart = 0
# if send > len(AST):
# time_end = True
# send = len(AST)
# this_RA = RA[sstart:send]
# this_DEC = DEC[sstart:send]
# this_AST = AST[sstart:send]
# this_I_data = I_data[sstart:send]
# this_Q_data = Q_data[sstart:send]
# this_U_data = U_data[sstart:send]
# this_V_data = V_data[sstart:send]
# check dec scan to see if we change direction
# across source
dec_end = False
for k in range(len(this_DEC)-1):
if (np.sign(this_DEC[k+1]-this_DEC[k]) !=
np.sign(this_DEC[1]-this_DEC[0])):
dec_end = True
break
# now, add it
sources.append(source.Source(this_RA, this_DEC, this_AST,
this_I_data, this_Q_data,
this_U_data, this_V_data,
time_end, dec_end))
# start next search from where this one left off
i = j
if self.options["verbose"]:
print("Log: Found {0} sources.".format(len(sources)))
print("Log: Fitting good sources.")
good_sources = []
bad_sources = []
for s in range(len(sources)):
if sources[s].time_end or sources[s].dec_end:
bad_sources.append(s)
else:
plt_filename = bin_results_dir+"/source{0:03d}".format(s)
sources[s].fit(plt_filename, **self.options)
if sources[s].good_fit:
good_sources.append(s)
else:
bad_sources.append(s)
if self.options["verbose"]:
print("Log: Fit {0} good sources.".format(len(good_sources)))
print("Log: Found {0} bad sources.".format(len(bad_sources)))
if self.options["file_verbose"]:
with open(bin_results_dir+"/good_sources.txt","w") as f:
f.write("# SourceNum centerRA centerDEC peakI widthDEC\n")
f.write("# --------- deg deg K deg\n")
for s in good_sources:
f.write("{0:03d} {1:.3f} {2:.3f} {3:.3f} {4:.3f}\n".\
format(s,sources[s].center_RA,
sources[s].center_DEC,
sources[s].center_I,
sources[s].fit_p[2]))
with open(bin_results_dir+"/bad_sources.txt","w") as f:
f.write("# SourceNum Reasons\n")
for s in bad_sources:
reasons = ""
if sources[s].dec_end:
reasons = reasons+"DecChange,"
if sources[s].time_end:
reasons = reasons+"EndOfScan,"
if not sources[s].good_fit:
reasons = reasons+"BadFit,"
f.write("{0:03d} {1}\n".format(s,reasons))
np.savez(bin_results_dir+"/sources",
sources=sources)
scene.append(
geometry.Box(geometry.Point(-1000, -1000, -1500),
geometry.Point(1000, 1000, -1600),
0,
geometry.REFLECTOR,
logging=True))
scene.append(
geometry.Box(geometry.Point(-1000, -1000, 1500),
geometry.Point(1000, 1000, 1600),
0,
geometry.RECEIVER,
logging=True))
sources = []
sources.append(
source.Source(np.array([0, 0, 1450]), np.array([1]), np.array([0, 1, -1])))
if __name__ == '__main__':
print("Main")
iterations = 1000
threads = 6
timeout = 40
tracker = simulation.Tracker(scene, sources, iterations)
pool = [
threading.Thread(target=simulation.operator,
args=(
tracker,
scene,
timeout,
)) for i in range(threads)
]
import source
from datetime import datetime, timedelta
import time
import sys
GBP_USD = source.Source('GBP_USD')
# Creates table if not on DB
GBP_USD.create_table('S5')
timenow = datetime.utcnow() + timedelta(hours=1)
GBP_USD.pull_to_table(
datetime.strftime(timenow - timedelta(hours=4), '%Y-%m-%d %H:%M:%S'),
datetime.strftime(timenow + timedelta(minutes=2), '%Y-%m-%d %H:%M:%S'),
'S5')
print('Initialised')
time.sleep(3)
while True:
try:
# Change for Daylight Saving Time
timenow = datetime.utcnow() + timedelta(hours=1)
GBP_USD.pull_to_table(
datetime.strftime(timenow - timedelta(minutes=5),
'%Y-%m-%d %H:%M:%S'),
datetime.strftime(timenow + timedelta(minutes=2),
'%Y-%m-%d %H:%M:%S'), 'S5')
sys.stdout.flush()
def testSourceScanModuleAlias(self):
test_source = source.Source(_TEST_MODULE_ALIAS_SOURCE)
self.assertEqual(set(['goog.dom', 'goog.events']), test_source.requires)
self.assertTrue(test_source.is_goog_module)
def _produce_source_of_waves(self):
"""
Create a source of propagating waves
:return Source
"""
return source.Source(self._source)
if checkerInstallation == None:
die( "Could not find checker installation. Please specify it in the config file (checkerInstallation=...) or via the --checkerInstallation option" )
#apply functor to list to get absolute paths:
testcases = map( abspath, utils.get_enumerated_config_option( config, 'testcase' ) )
if len( testcases ) == 0:
die( "No testcases specified. Please specify at least one test case in the configuration" )
vms = map( abspath, utils.get_enumerated_config_option( config, 'vm' ) )
if len( vms ) == 0:
die( "No VMs specified. Please specify at least one VM in the configuration" )
installers = args[1:]
if len( installers ) > 0:
source = source.Source()
for i in installers:
source.addDummy( 5, i )
else:
source = ftpsource.FtpSource()
if options.since:
try:
sdt = datetime.datetime.strptime( options.since, '%Y-%m-%d' )
except ValueError:
sdt = datetime.datetime.strptime( options.since, '%Y-%m-%d-%H-%M' )
source.setStartDate( sdt )
found = True
nextsec = 0
while found:
sec = "Source{0}".format( nextsec )
nextsec += 1
def MakeSource(): source.Source(_TEST_BAD_BASE_SOURCE)
def getVisitMatchesBySensor(self, matchDatabase, matchVisit, dataIdRegex):
""" Get a dict of all Catalog Sources matching dataId, but
within another Science_Ccd_Exposure's polygon"""
# If the dataIdEntry is identical to an earlier query, we must already have all the data
dataIdStr = self._dataIdToString(
dataIdRegex,
defineFully=True) # E.g. visit862826551-snap.*-raft.*-sensor.*
if self.visitMatchQueryCache.has_key(matchDatabase):
if self.visitMatchQueryCache[matchDatabase].has_key(matchVisit):
vmqCache = self.visitMatchQueryCache[matchDatabase][matchVisit]
if vmqCache.has_key(dataIdStr):
vmCache = self.visitMatchCache[matchDatabase][matchVisit]
vmDict = {}
for key, ss in vmCache.items():
if re.search(dataIdStr, key):
vmDict[key] = ss
return vmDict
# Load each of the dataIds
dataIdList = self.getDataIdsFromRegex(dataIdRegex)
# Set up the outputs
calib = self.getCalibBySensor(dataIdRegex)
vmDict = {}
for k in calib.keys():
vmDict[k] = []
for dataIdEntry in dataIdList:
visit, raft, sensor = dataIdEntry['visit'], dataIdEntry[
'raft'], dataIdEntry['sensor']
dataIdEntryStr = self._dataIdToString(
dataIdEntry,
defineFully=True) # E.g. visit862826551-snap0-raft30-sensor20
haveAllKeys = True
sqlDataId = []
for keyNames in [['visit', 'sce.visit'], ['raft', 'sce.raftName'],
['sensor', 'sce.ccdName']]:
key, sqlName = keyNames
if dataIdEntry.has_key(key):
sqlDataId.append(
self._sqlLikeEqual(sqlName, dataIdEntry[key]))
else:
haveAllKeys = False
sqlDataId = " and ".join(sqlDataId)
# Poly comes from our own database
sql1 = 'SELECT poly FROM '+self.sceTable+' as sce ' \
+ 'WHERE %s ' % (sqlDataId) \
+ 'INTO @poly;'
sql2 = 'CALL scisql.scisql_s2CPolyRegion(@poly, 20);'
# Selection of source matches from the comparison database
self.verifyDataIdKeys(dataIdRegex.keys(), raiseOnFailure=True)
setMethods = [
"set" + x for x in qaDataUtils.getSourceSetAccessors()
]
selectList = ["s." + x for x in qaDataUtils.getSourceSetDbNames()]
selectStr = ", ".join(selectList)
sql3 = 'SELECT sce.visit, sce.raftName, sce.ccdName, sce.filterName, ' \
+ ' sce.fluxMag0, sce.fluxMag0Sigma,' \
+ ' CASE WHEN sce.filterId = 0 THEN sro.uMag' \
+ ' WHEN sce.filterId = 1 THEN sro.gMag' \
+ ' WHEN sce.filterId = 2 THEN sro.rMag' \
+ ' WHEN sce.filterId = 3 THEN sro.iMag' \
+ ' WHEN sce.filterId = 4 THEN sro.zMag' \
+ ' WHEN sce.filterId = 5 THEN sro.yMag' \
+ ' END as mag,' \
+ ' sro.ra, sro.decl, sro.isStar, sro.refObjectId,' \
+ selectStr \
+ ' FROM %s.'+self.sTable+' AS s USE INDEX FOR JOIN(IDX_htmId20)' % (matchDatabase) \
+ ' INNER JOIN %s.'+self.sceTable+' AS sce ' % (matchDatabase) \
+ ' ON (s.'+self.sceId+' = sce.'+self.sceId+') AND (sce.visit = %s)' % (matchVisit) \
+ ' INNER JOIN %s.'+self.romTable+' AS rsm ON (s.'+self.sId+' = rsm.'+self.sId+')' % (matchDatabase) \
+ ' INNER JOIN %s.RefObject AS sro ON (sro.refObjectId = rsm.refObjectId)' % (matchDatabase) \
+ ' INNER JOIN scisql.Region AS reg ON (s.htmId20 BETWEEN reg.htmMin AND reg.htmMax) ' \
+ 'WHERE scisql_s2PtInCPoly(s.ra, s.decl, @poly) = 1;'
#if not re.search("\%", sql1) and haveAllKeys:
# dataIdCopy = copy.copy(dataIdEntry)
# dataIdCopy['snap'] = "0"
# key = self._dataIdToString(dataIdCopy)
# if self.visitMatchCache.has_key(key):
# vmDict[key] = self.visitMatchCache[key]
# continue
self.printStartLoad("Loading DatasetMatches for: " +
dataIdEntryStr + "...")
self.dbInterface.execute(sql1)
self.dbInterface.execute(sql2)
results = self.dbInterface.execute(sql3)
self.printMidLoad("Found %d matches..." % (len(results)))
for row in results:
s = pqaSource.Source()
qaDataUtils.setSourceBlobsNone(s)
sref = pqaSource.RefSource()
qaDataUtils.setSourceBlobsNone(sref)
nValues = 11
mvisit, mraft, mccd, mfilt, fmag0, fmag0Err, mag, ra, dec, isStar, refObjId = row[:
nValues]
filt = afwImage.Filter(mfilt, True)
sref.setId(refObjId)
sref.setRa(ra)
sref.setDec(dec)
flux = 10**(-mag / 2.5)
sref.setPsfFlux(flux)
sref.setApFlux(flux)
sref.setModelFlux(flux)
sref.setInstFlux(flux)
i = 0
for value in row[nValues:]:
method = getattr(s, setMethods[i])
if value is not None:
method(value)
i += 1
for sss in [s, sref]:
if isStar == 1:
sss.setFlagForDetection(sss.getFlagForDetection()
| pqaSource.STAR)
else:
sss.setFlagForDetection(sss.getFlagForDetection()
& ~pqaSource.STAR)
# fluxes
s.setPsfFlux(s.getPsfFlux() / fmag0)
s.setApFlux(s.getApFlux() / fmag0)
s.setModelFlux(s.getModelFlux() / fmag0)
s.setInstFlux(s.getInstFlux() / fmag0)
# flux errors
psfFluxErr = qaDataUtils.calibFluxError(
s.getPsfFlux(), s.getPsfFluxErr(), fmag0, fmag0Err)
s.setPsfFluxErr(psfFluxErr)
apFluxErr = qaDataUtils.calibFluxError(s.getApFlux(),
s.getApFluxErr(), fmag0,
fmag0Err)
s.setApFluxErr(apFluxErr)
modFluxErr = qaDataUtils.calibFluxError(
s.getModelFlux(), s.getModelFluxErr(), fmag0, fmag0Err)
s.setModelFluxErr(modFluxErr)
instFluxErr = qaDataUtils.calibFluxError(
s.getInstFlux(), s.getInstFluxErr(), fmag0, fmag0Err)
s.setInstFluxErr(instFluxErr)
vm = vmDict[dataIdEntryStr]
vm.append([sref, s, filt])
self.printStopLoad()
# cache it
if not self.visitMatchQueryCache.has_key(matchDatabase):
self.visitMatchQueryCache[matchDatabase] = {}
self.visitMatchCache[matchDatabase] = {}
if not self.visitMatchQueryCache[matchDatabase].has_key(matchVisit):
self.visitMatchQueryCache[matchDatabase][matchVisit] = {}
self.visitMatchCache[matchDatabase][matchVisit] = {}
self.visitMatchQueryCache[matchDatabase][matchVisit][dataIdStr] = True
for k, ss in vmDict.items():
self.visitMatchCache[matchDatabase][matchVisit][k] = ss
return vmDict
def __init__(self):
self.login = Login.Login()
self.source = source.Source()
def main():
logging.basicConfig(format=(sys.argv[0] + ': %(message)s'),
level=logging.INFO)
options, args = _GetOptionsParser().parse_args()
# Make our output pipe.
if options.output_file:
out = open(options.output_file, 'w')
else:
out = sys.stdout
sources = set()
logging.info('Scanning paths...')
for path in options.roots:
for js_path in treescan.ScanTreeForJsFiles(path):
sources.add(_PathSource(js_path))
# Add scripts specified on the command line.
for path in args:
sources.add(source.Source(_PathSource(path)))
logging.info('%s sources scanned.', len(sources))
# Though deps output doesn't need to query the tree, we still build it
# to validate dependencies.
logging.info('Building dependency tree..')
tree = depstree.DepsTree(sources)
input_namespaces = set()
inputs = options.inputs or []
for input_path in inputs:
js_input = _GetInputByPath(input_path, sources)
if not js_input:
logging.error('No source matched input %s', input_path)
sys.exit(1)
input_namespaces.update(js_input.provides)
input_namespaces.update(options.namespaces)
if not input_namespaces:
logging.error('No namespaces found. At least one namespace must be '
'specified with the --namespace or --input flags.')
sys.exit(2)
# The Closure Library base file must go first.
base = _GetClosureBaseFile(sources)
deps = [base] + tree.GetDependencies(input_namespaces)
output_mode = options.output_mode
if output_mode == 'list':
out.writelines([js_source.GetPath() + '\n' for js_source in deps])
elif output_mode == 'script':
out.writelines([js_source.GetSource() for js_source in deps])
elif output_mode == 'compiled':
# Make sure a .jar is specified.
if not options.compiler_jar:
logging.error(
'--compiler_jar flag must be specified if --output is '
'"compiled"')
sys.exit(2)
compiled_source = jscompiler.Compile(
options.compiler_jar, [js_source.GetPath() for js_source in deps],
options.compiler_flags)
if compiled_source is None:
logging.error('JavaScript compilation failed.')
sys.exit(1)
else:
logging.info('JavaScript compilation succeeded.')
out.write(compiled_source)
else:
logging.error('Invalid value for --output flag.')
sys.exit(2)
