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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bf75b391e67ef7dcf580f0fb97d21a45b023234d
|
38d08ac4dec726fe72aa90ad78c6330fa3e9d19e
|
/nagios/libexec/linux-cpu-usage.py
|
db550ea78ae7af7232ca678a7468de5c8dd6dcce
|
[] |
no_license
|
huanpc/monitoring_TIC
|
9583fdea34cb2835c594e4c6f4736b2fcac2eac4
|
26fa0a04166a0d27a39347c87280409e8e2e9a7a
|
refs/heads/master
| 2021-05-10T17:12:53.929269
| 2018-09-20T06:46:20
| 2018-09-20T06:46:20
| 118,602,054
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,870
|
py
|
#!/usr/bin/env python
import sys
import time
from optparse import OptionParser
### Global Identifiers ###
cpu_stat_var_array = ('user', 'nice', 'system', 'idle', 'iowait', 'irq', 'softirq', 'steal_time')
### Main code ###
# Command Line Arguments Parser
cmd_parser = OptionParser(version="%prog 0.1")
cmd_parser.add_option("-C", "--CPU", action="store", type="string", dest="cpu_name", help="Which CPU to be Check", metavar="cpu or cpu0 or cpu1")
cmd_parser.add_option("-w", "--warning", type="int", action="store", dest="warning_per", help="Exit with WARNING status if higher than the PERCENT of CPU Usage", metavar="Warning Percentage")
cmd_parser.add_option("-c", "--critical", type="int", action="store", dest="critical_per", help="Exit with CRITICAL status if higher than the PERCENT of CPU Usage", metavar="Critical Percentage")
cmd_parser.add_option("-d", "--debug", action="store_true", dest="debug", default=False, help="enable debug")
cmd_parser.add_option("-U", "--useronly", action="store_true", dest="user_only", default=False, help="Check only user cpu usage")
(cmd_options, cmd_args) = cmd_parser.parse_args()
# Check the Command syntax
if not (cmd_options.cpu_name and cmd_options.warning_per and cmd_options.critical_per):
cmd_parser.print_help()
sys.exit(3)
# Collect CPU Statistic Object
class CollectStat:
"""Object to Collect CPU Statistic Data"""
def __init__(self,cpu_name):
self.total = 0
self.cpu_stat_dict = {}
for line in open("/proc/stat"):
line = line.strip()
if line.startswith(cpu_name):
cpustat=line.split()
cpustat.pop(0) # Remove the First Array of the Line 'cpu'
# Remove the unwanted data from the array
# only retain first 8 field on the file
while len(cpustat) > 8:
cpustat.pop()
if cmd_options.debug:
print "DEBUG : cpustat array %s" % cpustat
cpustat=map(float, cpustat) # Convert the Array to Float
for i in range(len(cpustat)):
self.cpu_stat_dict[cpu_stat_var_array[i]] = cpustat[i]
# Calculate the total utilization
for i in cpustat:
self.total += i
break
if cmd_options.debug:
print "DEBUG : cpu statistic dictionary %s" % self.cpu_stat_dict
print "DEBUG : total statistics %s" % self.total
# Get Sample CPU Statistics
initial_stat = CollectStat(cmd_options.cpu_name)
time.sleep(5)
final_stat = CollectStat(cmd_options.cpu_name)
cpu_total_stat = final_stat.total - initial_stat.total
if cmd_options.debug:
print "DEBUG : diff total stat %f" % cpu_total_stat
for cpu_stat_var,cpu_stat in final_stat.cpu_stat_dict.items():
globals()['cpu_%s_usage_percent' % cpu_stat_var] = ((final_stat.cpu_stat_dict[cpu_stat_var] - initial_stat.cpu_stat_dict[cpu_stat_var])/cpu_total_stat)*100
cpu_usage_percent = cpu_user_usage_percent + cpu_nice_usage_percent + cpu_system_usage_percent + cpu_iowait_usage_percent + cpu_irq_usage_percent + cpu_softirq_usage_percent + cpu_steal_time_usage_percent
if (cmd_options.user_only):
cpu_usage_percent = cpu_user_usage_percent
# Check if CPU Usage is Critical/Warning/OK
if cpu_usage_percent >= cmd_options.critical_per:
print cmd_options.cpu_name +' STATISTICS CRITICAL : user=%.2f%% system=%.2f%% iowait=%.2f%% steal=%.2f%% | user=%.2f system=%.2f iowait=%.2f steal=%.2f warn=%d crit=%d' % (cpu_user_usage_percent, cpu_system_usage_percent, cpu_iowait_usage_percent, cpu_steal_time_usage_percent, cpu_user_usage_percent, cpu_system_usage_percent, cpu_iowait_usage_percent, cpu_steal_time_usage_percent, cmd_options.warning_per, cmd_options.critical_per)
sys.exit(2)
elif cpu_usage_percent >= cmd_options.warning_per:
print cmd_options.cpu_name +' STATISTICS WARNING : user=%.2f%% system=%.2f%% iowait=%.2f%% steal=%.2f%% | user=%.2f system=%.2f iowait=%.2f steal=%.2f warn=%d crit=%d' % (cpu_user_usage_percent, cpu_system_usage_percent, cpu_iowait_usage_percent, cpu_steal_time_usage_percent, cpu_user_usage_percent, cpu_system_usage_percent, cpu_iowait_usage_percent, cpu_steal_time_usage_percent, cmd_options.warning_per, cmd_options.critical_per)
sys.exit(1)
else:
print cmd_options.cpu_name +' STATISTICS OK : user=%.2f%% system=%.2f%% iowait=%.2f%% steal=%.2f%% | user=%.2f system=%.2f iowait=%.2f steal=%.2f warn=%d crit=%d' % (cpu_user_usage_percent, cpu_system_usage_percent, cpu_iowait_usage_percent, cpu_steal_time_usage_percent, cpu_user_usage_percent, cpu_system_usage_percent, cpu_iowait_usage_percent, cpu_steal_time_usage_percent, cmd_options.warning_per, cmd_options.critical_per)
sys.exit(0)
|
[
"huanpc2@cyberspace.vn"
] |
huanpc2@cyberspace.vn
|
c16c18cfe3dd6df0a9483ba0946285781057098e
|
238ebc43c3d54d2842de75fd8ddf0b0b0261906e
|
/GeoAnimation.py
|
32f0dc20216e0342f08f233fc9011bb4fc0aaf90
|
[] |
no_license
|
johndowen/CrossMgr
|
17c114ab80382b24ce0cdd228782bd000f513ea8
|
fc9eaf8ae5d4919cef3f1a3680c169be70cf356b
|
refs/heads/master
| 2021-06-28T03:14:41.682880
| 2017-09-17T00:35:26
| 2017-09-17T00:35:26
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 38,567
|
py
|
import wx
import random
import math
from math import radians, degrees, sin, cos, asin, sqrt, atan2, exp, modf, pi
import bisect
import sys
import datetime
import os
import re
import io
import cgi
import getpass
import socket
from Version import AppVerName
from Animation import GetLapRatio
import Utils
import xml.etree.ElementTree
import xml.etree.cElementTree
import xml.dom
import xml.dom.minidom
from GpxParse import GpxParse
import collections
import zipfile
def LineNormal( x1, y1, x2, y2, normLen ):
''' Returns the coords of a normal line passing through x1, y1 of length normLen. '''
dx, dy = x2 - x1, y2 - y1
scale = (normLen / 2.0) / sqrt( dx**2 + dy**2 )
dx *= scale
dy *= scale
return x1 + dy, y1 - dx, x1 - dy, y1 + dx
def GreatCircleDistance( lat1, lon1, lat2, lon2 ):
"""
Calculate the great circle distance between two points
on the earth (specified in decimal degrees) in meters.
"""
# convert decimal degrees to radians
lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2])
# haversine formula
dlon = lon2 - lon1
dlat = lat2 - lat1
a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
c = 2.0 * asin(sqrt(max(a, 0.0)))
m = 6371000.0 * c
return m
def GreatCircleDistance3D( lat1, lon1, ele1, lat2, lon2, ele2 ):
d = GreatCircleDistance( lat1, lon1, lat2, lon2 )
return sqrt( d ** 2 + (ele2 - ele1) ** 2 )
def GradeAdjustedDistance( lat1, lon1, ele1, lat2, lon2, ele2 ):
d = GreatCircleDistance(lat1, lon1, lat2, lon2 )
if not d:
return 0.0
a = atan2( ele2 - ele1, d )
m = 2.0 / (1.0 + exp(-a * 2.5)) # Use a sigmoid curve to approximate the effect of grade on speed.
return m * d
LatLonEle = collections.namedtuple('LatLonEle', ['lat','lon','ele', 't'] )
GpsPoint = collections.namedtuple('GpsPoint', ['lat','lon','ele','x','y','d','dCum'] )
def triangle( t, a ):
a = float(a)
return (2 / a) * (t - a * int(t / a + 0.5)) * (-1 ** int(t / a + 0.5))
def CompassBearing(lat1, lon1, lat2, lon2):
"""
Calculates the bearing between two points.
"""
lat1 = radians(lat1)
lat2 = radians(lat2)
diffLong = math.radians(lon2 - lon1)
x = sin(diffLong) * cos(lat2)
y = cos(lat1) * sin(lat2) - (sin(lat1) * cos(lat2) * cos(diffLong))
initial_bearing = atan2(x, y)
# Now we have the initial bearing but math.atan2 return values
# from -180 to + 180 which is not what we want for a compass bearing
# The solution is to normalize the initial bearing as shown below
initial_bearing = degrees(initial_bearing)
compass_bearing = (initial_bearing + 360) % 360
return compass_bearing
reGpxTime = re.compile( '[^0-9+]' )
def GpxHasTimes( fname ):
''' Check that the gpx file contains valid times. '''
points = GpxParse( fname )
tLast = None
for p in points:
try:
t = p['time']
except KeyError:
return False
if tLast is not None and tLast > t:
return False
tLast = t
return True
def LatLonElesToGpsPoints( latLonEles, useTimes = False, isPointToPoint = False ):
hasTimes = useTimes
latMin, lonMin = 1000.0, 1000.0
for latLonEle in latLonEles:
if latLonEle.t is None:
hasTimes = False
if latLonEle.lat < latMin:
latMin = latLonEle.lat
if latLonEle.lon < lonMin:
lonMin = latLonEle.lon
gpsPoints = []
dCum = 0.0
for i in xrange(len(latLonEles) - (1 if isPointToPoint else 0)):
p, pNext = latLonEles[i], latLonEles[(i+1) % len(latLonEles)]
if hasTimes:
if pNext.t > p.t:
gad = (pNext.t - p.t).total_seconds()
else:
# Estimate the last time difference based on the speed of the last segment.
pPrev = latLonEles[(i+len(latLonEles)-1)%len(latLonEles)]
d = GreatCircleDistance( pPrev.lat, pPrev.lon, p.lat, p.lon )
t = (p.t - pPrev.t).total_seconds()
if t > 0:
s = d / t
gad = GreatCircleDistance( p.lat, p.lon, pNext.lat, pNext.lon ) / s
else:
gad = 0.0
else:
gad = GradeAdjustedDistance( p.lat, p.lon, p.ele, pNext.lat, pNext.lon, pNext.ele )
x = GreatCircleDistance( latMin, lonMin, latMin, p.lon )
y = GreatCircleDistance( latMin, lonMin, p.lat, lonMin )
if gad > 0.0:
gpsPoints.append( GpsPoint(p.lat, p.lon, p.ele, x, y, gad, dCum) )
dCum += gad
return gpsPoints
def ParseGpxFile( fname, useTimes = False, isPointToPoint = False ):
points = GpxParse( fname )
latLonEles = []
for p in points:
lat, lon, ele, t = p['lat'], p['lon'], p.get('ele',0.0), p.get('time', None)
# Skip consecutive duplicate points.
try:
if latLonEles[-1].lat == lat and latLonEles[-1].lon == lon:
continue
except IndexError:
pass
latLonEles.append( LatLonEle(lat, lon, ele, t) )
return latLonEles
def createAppendChild( doc, parent, name, textAttr={} ):
child = doc.createElement( name )
parent.appendChild( child )
for k, v in textAttr.iteritems():
attr = doc.createElement( k )
if isinstance(v, float) and modf(v)[0] == 0.0:
v = int(v)
attr.appendChild( doc.createTextNode( '{:.6f}'.format(v) if isinstance(v, float) else '{}'.format(v) ) )
child.appendChild( attr )
return child
def createAppendTextChild( doc, parent, text ):
child = doc.createTextNode( text )
parent.appendChild( child )
return child
def CreateGPX( courseName, gpsPoints ):
''' Create a GPX file from the gpsPoints list. '''
doc = xml.dom.minidom.Document()
gpx = createAppendChild( doc, doc, 'gpx' )
gpx.attributes['creator'] = AppVerName + ' http://sites.google.com/site/crossmgrsoftware/'
gpx.attributes['xmlns'] ="http://www.topografix.com/GPX/1/0"
gpx.attributes['xmlns:xsi'] = "http://www.w3.org/2001/XMLSchema-instance"
gpx.attributes['xsi:schemaLocation'] = "http://www.topografix.com/GPX/1/0 http://www.topografix.com/GPX/1/0/gpx.xsd"
gpx.appendChild( doc.createComment( u'\n'.join( [
'',
'DO NOT EDIT!',
'',
u'This file was created automatically by {}.'.format(AppVerName),
'',
'For more information, see http://sites.google.com/site/crossmgrsoftware',
'',
'Created: {}'.format(datetime.datetime.now().strftime( '%Y-%m-%d %H:%M:%S' )),
'User: {}'.format(cgi.escape(getpass.getuser())),
'Computer: {}'.format(cgi.escape(socket.gethostname())),
'', ] )
) )
trk = createAppendChild( doc, gpx, 'trk', {
'name': courseName,
} )
trkseg = createAppendChild( doc, trk, 'trkseg' )
for p in gpsPoints:
trkpt = createAppendChild( doc, trkseg, 'trkpt' )
trkpt.attributes['lat'] = '{}'.format(p.lat)
trkpt.attributes['lon'] = '{}'.format(p.lon)
if p.ele:
ele = createAppendChild( doc, trkpt, 'ele' )
createAppendTextChild( doc, ele, '{}'.format(p.ele) )
return doc
class GeoTrack( object ):
def __init__( self ):
self.gpsPoints = []
self.distanceTotal = 0.0
self.cumDistance = []
self.x = 0
self.xMax = self.yMax = 0.0
self.yBottom = 0
self.mult = 1.0
self.length = 0.0
self.totalElevationGain = 0.0
self.isPointToPoint = False
self.cache = {}
def computeSummary( self ):
lenGpsPoints = len(self.gpsPoints)
length = 0.0
totalElevationGain = 0.0
self.isPointToPoint = getattr( self, 'isPointToPoint', False )
for i in xrange(lenGpsPoints - (1 if self.isPointToPoint else 0)):
pCur, pNext = self.gpsPoints[i], self.gpsPoints[(i + 1) % lenGpsPoints]
length += GreatCircleDistance3D( pCur.lat, pCur.lon, pCur.ele, pNext.lat, pNext.lon, pNext.ele )
totalElevationGain += max(0.0, pNext.ele - pCur.ele)
self.length = length
self.totalElevationGain = totalElevationGain
def setPoints( self, gpsPoints, isPointToPoint = False ):
self.gpsPoints = gpsPoints
self.isPointToPoint = isPointToPoint
self.xMax = max( p.x for p in self.gpsPoints )
self.yMax = max( p.y for p in self.gpsPoints )
dCum = 0.0
self.cumDistance = []
for p in self.gpsPoints:
self.cumDistance.append( dCum )
dCum += p.d
self.distanceTotal = dCum
self.computeSummary()
def read( self, fname, useTimes = False, isPointToPoint = False ):
self.isPointToPoint = isPointToPoint
latLonEles = ParseGpxFile( fname, useTimes=useTimes, isPointToPoint=isPointToPoint )
gpsPoints = LatLonElesToGpsPoints( latLonEles, useTimes=useTimes, isPointToPoint=isPointToPoint )
self.setPoints( gpsPoints, isPointToPoint=isPointToPoint )
def getGPX( self, courseName ):
return CreateGPX( courseName, self.gpsPoints )
def writeGPXFile( self, fname ):
with io.open( fname, 'wb' ) as fp:
self.getGPX( os.path.splitext(os.path.basename(fname))[0] ).writexml(fp, indent="", addindent=" ", newl="\n", encoding='utf-8')
def readElevation( self, fname ):
header = None
distance, elevation = [], []
iDistance, iElevation = None, None
with open(fname, 'r') as fp:
for line in fp:
fields = [f.strip() for f in line.split(',')]
if not header:
header = fields
for i, h in enumerate(header):
h = h.lower()
if h.startswith('distance'):
iDistance = i
elif h.startswith('elevation'):
iElevation = i
assert iDistance is not None and iElevation is not None, 'Invalid header in file.'
else:
distance.append( float(fields[iDistance]) )
elevation.append( float(fields[iElevation]) )
if len(elevation) < 2:
return
lenGpsPoints = len(self.gpsPoints)
length = 0.0
for i in xrange(lenGpsPoints-1):
pCur, pNext = self.gpsPoints[i], self.gpsPoints[(i + 1) % lenGpsPoints]
length += GreatCircleDistance( pCur.lat, pCur.lon, pNext.lat, pNext.lon )
distanceMult = distance[-1] / length
# Update the known GPS points with the proportional elevation.
length = 0.0
iSearch = 0
for i in xrange(lenGpsPoints):
pCur, pNext = self.gpsPoints[i], self.gpsPoints[(i + 1) % lenGpsPoints]
d = min( length * distanceMult, distance[-1] )
for iSearch in xrange(iSearch, len(elevation) - 2):
if distance[iSearch] <= d < distance[iSearch+1]:
break
deltaDistance = max( distance[iSearch+1] - distance[iSearch], 0.000001 )
ele = elevation[iSearch] + (elevation[iSearch+1] - elevation[iSearch]) * \
(d - distance[iSearch]) / deltaDistance
self.gpsPoints[i] = pCur._replace( ele = ele )
length += GreatCircleDistance( pCur.lat, pCur.lon, pNext.lat, pNext.lon )
self.computeSummary()
def getXYTrack( self ):
x, yBottom, mult = self.x, self.yBottom, self.mult
return [(p.x * mult + x, yBottom - p.y * mult) for p in self.gpsPoints]
def asExportJson( self ):
return [ [int(getattr(p, a)*10.0) for a in ('x', 'y', 'd')] for p in self.gpsPoints ]
def getAltigraph( self ):
if not self.gpsPoints or all( p.ele == 0.0 for p in self.gpsPoints ):
return []
altigraph = [(0.0, self.gpsPoints[0].ele)]
p = self.gpsPoints
for i in xrange(1, len(p)):
altigraph.append( (altigraph[-1][0] + GreatCircleDistance(p[i-1].lat, p[i-1].lon, p[i].lat, p[i].lon), p[i].ele) )
altigraph.append( (altigraph[-1][0] + GreatCircleDistance(p[-1].lat, p[-1].lon, p[0].lat, p[0].lon), p[0].ele) )
return altigraph
def isClockwise( self ):
if not self.gpsPoints:
return False
p = self.gpsPoints
return sum( (p[j].x - p[j-1].x) * (p[j].y + p[j-1].y) for j in xrange(len(self.gpsPoints)) ) > 0.0
def reverse( self ):
''' Reverse the points in the track. Make sure the distance to the next point and cumDistance is correct. '''
self.cumDistance = []
gpsPointsReversed = []
dCum = 0.0
for i in xrange(len(self.gpsPoints)-1, -1, -1):
p = self.gpsPoints[i]
pPrev = self.gpsPoints[i-1 if i > 0 else len(self.gpsPoints)-1]
gpsPointsReversed.append( GpsPoint(p.lat, p.lon, p.ele, p.x, p.y, pPrev.d, dCum) )
self.cumDistance.append( dCum )
dCum += pPrev.d
self.gpsPoints = gpsPointsReversed
def setClockwise( self, clockwise = True ):
if self.isClockwise() != clockwise:
self.reverse()
def asCoordinates( self ):
coordinates = []
for p in self.gpsPoints:
coordinates.append( p.lon )
coordinates.append( p.lat )
return coordinates
def asKmlTour( self, raceName=None, speedKMH=None ):
race = raceName or 'Race'
speed = (speedKMH or 35.0) * (1000.0 / (60.0*60.0))
doc = xml.dom.minidom.Document()
kml = createAppendChild( doc, doc, 'kml' )
kml.attributes['xmlns'] = "http://www.opengis.net/kml/2.2"
kml.attributes['xmlns:gx'] = "http://www.google.com/kml/ext/2.2"
kml.appendChild( doc.createComment( '\n'.join( [
'',
'DO NOT EDIT!',
'',
'This file was created automatically by CrossMgr.',
'',
'Is shows a fly-through of the actual bicycle race course.',
'For more information, see http://sites.google.com/site/crossmgrsoftware',
'',
'Created: {}'.format(datetime.datetime.now().strftime( '%Y/%m/%d %H:%M:%S' )),
'User: {}'.format(cgi.escape(getpass.getuser())),
'Computer: {}'.format(cgi.escape(socket.gethostname())),
'', ] )
) )
Document = createAppendChild( doc, kml, 'Document', {
'open': 1,
'name': raceName,
} )
# Define some styles.
Style = createAppendChild( doc, Document, 'Style' )
Style.attributes['id'] = 'thickBlueLine'
LineStyle = createAppendChild( doc, Style, 'LineStyle', {
'width': 5,
'color': '#7fff0000', # aabbggrr
} )
# Define an flying tour around the course.
Tour = createAppendChild( doc, Document, 'gx:Tour', {
'name': '{}: Tour'.format(race),
} )
Playlist = createAppendChild( doc, Tour, 'gx:Playlist' )
def fly( doc, PlayList, p, mode, duration, heading ):
FlyTo = createAppendChild( doc, Playlist, 'gx:FlyTo', {
'gx:duration': duration,
'gx:flyToMode': mode,
} )
Camera = createAppendChild( doc, FlyTo, 'Camera', {
'latitude': p.lat,
'longitude': p.lon,
'altitude': 2,
'altitudeMode': 'relativeToGround',
'heading': heading,
'tilt': 80,
} )
# Fly to the starting point.
p, pNext = self.gpsPoints[:2]
fly( doc, Playlist, p, 'bounce', 3, CompassBearing(p.lat, p.lon, pNext.lat, pNext.lon) )
# Follow the path through all the points.
lenGpsPoints = len(self.gpsPoints)
for i in xrange(1, lenGpsPoints + (0 if self.isPointToPoint else 1)):
pPrev, p = self.gpsPoints[i-1], self.gpsPoints[i%lenGpsPoints]
fly(doc, Playlist, p, 'smooth',
GreatCircleDistance(pPrev.lat, pPrev.lon, p.lat, p.lon) / speed,
CompassBearing(pPrev.lat, pPrev.lon, p.lat, p.lon)
)
if self.isPointToPoint:
# Marker for the start line.
Placemark = createAppendChild( doc, Document, 'Placemark', {'name': '{}: Start Line'.format(race)} )
createAppendChild( doc, Placemark, 'Point', {
'coordinates': '{},{}'.format(self.gpsPoints[0].lon, self.gpsPoints[0].lat)
} )
pFinish = self.gpsPoints[-1]
else:
pFinish = self.gpsPoints[0]
# Marker for the finish line.
Placemark = createAppendChild( doc, Document, 'Placemark', {'name': '{}: Finish Line'.format(race)} )
createAppendChild( doc, Placemark, 'Point', {'coordinates': '{},{}'.format(pFinish.lon, pFinish.lat)} )
# Path for the course.
Placemark = createAppendChild( doc, Document, 'Placemark', {
'name': '{}: Course'.format(race),
'styleUrl': '#thickBlueLine',
} )
coords = ['']
for i in xrange(lenGpsPoints + (0 if self.isPointToPoint else 1)):
p = self.gpsPoints[i % lenGpsPoints]
coords.append( '{},{}'.format(p.lon, p.lat) )
coords.append('')
LineString = createAppendChild( doc, Placemark, 'LineString', {
'tessellate': 1,
'altitudeMode': 'clampToGround',
'coordinates': '\n'.join(coords),
} )
ret = doc.toprettyxml( indent=' ' )
doc.unlink()
return ret
def getXY( self, lap, id = None ):
# Find the segment at this distance in the lap.
lap = modf(lap)[0] # Get fraction of lap.
lapDistance = lap * self.distanceTotal # Get distance traveled in the lap.
# Avoid the cost of the binary search by checking if the id request is still on the last segment.
lenGpsPoints = len(self.gpsPoints)
try:
i = self.cache[id]
pCur = self.gpsPoints[i]
if not (pCur.dCum <= lapDistance <= pCur.dCum + pCur.d):
i = (i + 1) % lenGpsPoints
pCur = self.gpsPoints[i]
if not (pCur.dCum <= lapDistance <= pCur.dCum + pCur.d):
i = None
except (IndexError, KeyError):
i = None
if i is None:
# Find the closest point LT the lap distance.
i = bisect.bisect_right( self.cumDistance, lapDistance )
i %= lenGpsPoints
if self.cumDistance[i] > lapDistance:
i -= 1
self.cache[id] = i
pCur, pNext = self.gpsPoints[i], self.gpsPoints[(i + 1) % lenGpsPoints]
segDistance = lapDistance - self.cumDistance[i]
segRatio = 0.0 if pCur.d <= 0.0 else segDistance / pCur.d
x, y = pCur.x + (pNext.x - pCur.x) * segRatio, pCur.y + (pNext.y - pCur.y) * segRatio
return x * self.mult + self.x, self.yBottom - y * self.mult
@property
def lengthKm( self ):
return self.length / 1000.0
@property
def lengthMiles( self ):
return self.length * 0.621371/1000.0
@property
def totalElevationGainM( self ):
try:
return self.totalElevationGain
except AttributeError:
self.totalElevationGain = sum( max(0.0, self.gpsPoints[i].ele - self.gpsPoints[i-1].ele) for i in xrange(len(self.gpsPoints)) )
return self.totalElevationGain
@property
def totalElevationGainFt( self ):
return self.totalElevationGainM * 3.28084
@property
def numPoints( self ):
return len(self.gpsPoints)
def setDisplayRect( self, x, y, width, height ):
if width <= 0 or height <= 0:
self.mult = 1.0
self.x = x
self.yBottom = y + height
return
mult = min( width / self.xMax, height / self.yMax )
w, h = self.xMax * mult, self.yMax * mult
xBorder = (width - w) / 2.0
yBorder = (height - h) / 2.0
self.mult = mult
self.x = xBorder + x
self.yBottom = y + height
shapes = [ [(cos(a), -sin(a)) \
for a in (q*(2.0*pi/i)+pi/2.0+(2.0*pi/(i*2.0) if i % 2 == 0 else 0)\
for q in xrange(i))] for i in xrange(3,9)]
def DrawShape( dc, num, x, y, radius ):
dc.DrawPolygon( [ wx.Point(p*radius+x, q*radius+y) for p,q in shapes[num % len(shapes)] ] )
class GeoAnimation(wx.Control):
topFewCount = 5
infoLines = 1
def __init__(self, parent, id=wx.ID_ANY, pos=wx.DefaultPosition,
size=wx.DefaultSize, style=wx.NO_BORDER, validator=wx.DefaultValidator,
name="GeoAnimation"):
wx.Control.__init__(self, parent, id, pos, size, style, validator, name)
self.SetBackgroundColour('white')
self.data = {}
self.categoryDetails = {}
self.t = 0
self.tMax = None
self.tDelta = 1
self.r = 100 # Radius of the turns of the fictional track.
self.laneMax = 8
self.geoTrack = None
self.compassLocation = ''
self.widthLast = -1
self.heightLast = -1
self.xBanner = 300
self.tBannerLast = None
self.course = 'geo'
self.units = 'km'
self.framesPerSecond = 32
self.lapCur = 0
self.iLapDistance = 0
self.tLast = datetime.datetime.now()
self.speedup = 1.0
self.suspendGeoAnimation = False
self.numsToWatch = set()
self.checkeredFlag = wx.Bitmap(os.path.join(Utils.getImageFolder(), 'CheckeredFlag.png'), wx.BITMAP_TYPE_PNG)
trackRGB = [int('7FE57F'[i:i+2],16) for i in xrange(0, 6, 2)]
self.trackColour = wx.Colour( *trackRGB )
self.colours = []
k = [0,32,64,128,128+32,128+64,255]
for r in k:
for g in k:
for b in k:
if sum( abs(c - t) for c, t in zip([r,g,b],trackRGB) ) > 80 and \
sum( c for c in [r,g,b] ) > 64:
self.colours.append( wx.Colour(r, g, b) )
random.seed( 1234 )
random.shuffle( self.colours )
self.topFewColours = [
wx.Colour(255,215,0),
wx.Colour(230,230,230),
wx.Colour(205,133,63)
]
while len(self.topFewColours) < self.topFewCount:
self.topFewColours.append( wx.Colour(200,200,200) )
self.trackColour = wx.Colour( *[int('7FE57F'[i:i+2],16) for i in xrange(0, 6, 2)] )
# Cache the fonts if the size does not change.
self.numberFont = None
self.timeFont = None
self.highlightFont = None
self.rLast = -1
self.timer = wx.Timer( self, id=wx.NewId())
self.Bind( wx.EVT_TIMER, self.NextFrame, self.timer )
# Bind the events related to our control: first of all, we use a
# combination of wx.BufferedPaintDC and an empty handler for
# wx.EVT_ERASE_BACKGROUND (see later) to reduce flicker
self.Bind(wx.EVT_PAINT, self.OnPaint)
self.Bind(wx.EVT_ERASE_BACKGROUND, self.OnEraseBackground)
self.Bind(wx.EVT_SIZE, self.OnSize)
def SetGeoTrack( self, geoTrack ):
if self.geoTrack != geoTrack:
self.geoTrack = geoTrack
def SetOptions( self, *argc, **kwargs ):
pass
def DoGetBestSize(self):
return wx.Size(400, 200)
def _initGeoAnimation( self ):
self.tLast = datetime.datetime.now()
self.suspendGeoAnimation = False
def Animate( self, tRunning, tMax = None, tCur = 0.001 ):
self.StopAnimate();
self._initGeoAnimation()
self.t = tCur
if not self.data:
return
if tMax is None:
tMax = 0
for num, info in self.data.iteritems():
try:
tMax = max(tMax, info['raceTimes'][-1])
except IndexError:
pass
self.speedup = float(tMax) / float(tRunning)
self.tMax = tMax
self.timer.Start( 1000.0/self.framesPerSecond, False )
def StartAnimateRealtime( self ):
self.StopAnimate();
self._initGeoAnimation()
self.speedup = 1.0
self.tMax = 999999
self.timer.Start( 1000.0/self.framesPerSecond, False )
def StopAnimate( self ):
if self.timer.IsRunning():
self.timer.Stop()
self.tBannerLast = None
def SetNumsToWatch( self, numsToWatch ):
self.numsToWatch = numsToWatch
self.Refresh()
def SuspendAnimate( self ):
self.suspendGeoAnimation = True
def IsAnimating( self ):
return not self.suspendGeoAnimation and self.timer.IsRunning()
def SetTime( self, t ):
self.t = t
self.Refresh()
def NextFrame( self, event ):
if event.GetId() == self.timer.GetId():
tNow = datetime.datetime.now()
tDelta = tNow - self.tLast
self.tLast = tNow
secsDelta = tDelta.seconds + tDelta.microseconds / 1000000.0
self.SetTime( self.t + secsDelta * self.speedup )
if self.suspendGeoAnimation or self.t >= self.tMax:
self.StopAnimate()
def SetForegroundColour(self, colour):
wx.Control.SetForegroundColour(self, colour)
self.Refresh()
def SetBackgroundColour(self, colour):
wx.Control.SetBackgroundColour(self, colour)
self.Refresh()
def GetDefaultAttributes(self):
"""
Overridden base class virtual. By default we should use
the same font/colour attributes as the native wx.StaticText.
"""
return wx.StaticText.GetClassDefaultAttributes()
def ShouldInheritColours(self):
"""
Overridden base class virtual. If the parent has non-default
colours then we want this control to inherit them.
"""
return True
def SetData( self, data, tCur = None, categoryDetails = None ):
"""
* data is a rider information indexed by number. Info includes lap times and lastTime times.
* lap times should include the start offset.
Example:
data = { 101: { raceTimes: [xx, yy, zz], lastTime: None }, 102 { raceTimes: [aa, bb], lastTime: cc} }
"""
self.data = data if data else {}
self.categoryDetails = categoryDetails if categoryDetails else {}
for num, info in self.data.iteritems():
info['iLast'] = 1
if info['status'] == 'Finisher' and info['raceTimes']:
info['finishTime'] = info['raceTimes'][-1]
else:
info['finishTime'] = info['lastTime']
# Get the units.
for num, info in self.data.iteritems():
if info['status'] == 'Finisher':
try:
self.units = 'miles' if 'mph' in info['speed'] else 'km'
except KeyError:
self.units = 'km'
break
if tCur is not None:
self.t = tCur;
self.tBannerLast = None
self.Refresh()
def getShortName( self, num ):
try:
info = self.data[num]
except KeyError:
return ''
lastName = info.get('LastName','')
firstName = info.get('FirstName','')
if lastName:
if firstName:
return '%s, %s.' % (lastName, firstName[:1])
else:
return lastName
return firstName
def OnPaint(self, event):
dc = wx.BufferedPaintDC(self)
self.Draw(dc)
def OnSize(self, event):
self.Refresh()
event.Skip()
def getRiderPositionTime( self, num ):
""" Returns the fraction of the lap covered by the rider and the time. """
if num not in self.data:
return (None, None)
info = self.data[num]
raceTimes = info['raceTimes']
if not raceTimes or self.t < raceTimes[0] or len(raceTimes) < 2:
return (None, None)
tSearch = self.t
finishTime = info['finishTime']
if finishTime is not None and finishTime < self.t:
if finishTime == raceTimes[-1]:
return (len(raceTimes), finishTime)
tSearch = finishTime
if tSearch >= raceTimes[-1]:
p = len(raceTimes) + float(tSearch - raceTimes[-1]) / float(raceTimes[-1] - raceTimes[-2])
else:
i = info['iLast']
if not (raceTimes[i-1] < tSearch <= raceTimes[i]):
i += 1
if not (raceTimes[i-1] < tSearch <= raceTimes[i]):
i = bisect.bisect_left( raceTimes, tSearch )
info['iLast'] = i
if i == 1:
firstLapRatio = info['flr']
p = float(tSearch - raceTimes[i-1]) / float(raceTimes[i] - raceTimes[i-1])
p = 1.0 - firstLapRatio + p * firstLapRatio
p -= math.floor(p) - 1.0
else:
p = i + float(tSearch - raceTimes[i-1]) / float(raceTimes[i] - raceTimes[i-1])
return (p, tSearch)
def getRiderXYPT( self, num ):
positionTime = self.getRiderPositionTime( num )
if positionTime[0] is None:
return None, None, None, None
if self.data[num]['finishTime'] is not None and self.t >= self.data[num]['finishTime']:
self.lapCur = max(self.lapCur, len(self.data[num]['raceTimes']))
return (None, None, positionTime[0], positionTime[1])
self.lapCur = max(self.lapCur, int(positionTime[0]))
xy = self.geoTrack.getXY( positionTime[0], num )
return xy[0], xy[1], positionTime[0], positionTime[1]
def drawBanner( self, dc, width, height, tHeight, bannerItems ):
blue = wx.Colour(0, 0, 200)
dc.SetPen( wx.Pen(blue) )
dc.SetBrush( wx.Brush(blue, wx.SOLID) )
dc.DrawRectangle( 0, 0, width, tHeight*1.1 )
if not bannerItems:
return
y = tHeight * 0.1
tHeight *= 0.85
x = self.xBanner
while x < width:
for bi in bannerItems:
if x >= width:
break
position, num, name = u'{}'.format(bi[1]), u'{}'.format(bi[0]), self.getShortName(bi[0])
if position == '1':
x += tHeight / 2
tWidth = self.checkeredFlag.Width
if x + tWidth > 0 and x < width:
dc.DrawBitmap( self.checkeredFlag, x, y, False )
x += tWidth + tHeight / 2
dc.SetFont( self.positionFont )
tWidth = dc.GetTextExtent( position )[0]
if x + tWidth > 0 and x < width:
dc.SetTextForeground( wx.WHITE )
dc.DrawText( position, x, y )
x += tWidth + tHeight / 4
dc.SetFont( self.bibFont )
tWidth = dc.GetTextExtent(num)[0]
if x + tWidth > 0 and x < width:
dc.SetTextForeground( 'YELLOW' )
dc.DrawText(num, x, y )
x += tWidth + tHeight / 3
dc.SetFont( self.nameFont )
tWidth = dc.GetTextExtent(name)[0]
if x + tWidth > 0 and x < width:
dc.SetTextForeground( wx.WHITE )
dc.DrawText(name, x, y )
x += tWidth + tHeight
if x < 0:
self.xBanner = x
tBanner = datetime.datetime.now()
if self.tBannerLast is None:
self.tBannerLast = tBanner
self.xBanner -= 64.0 * (tBanner - self.tBannerLast).total_seconds()
self.tBannerLast = tBanner
def Draw(self, dc):
size = self.GetClientSize()
width = size.width
height = size.height
backColour = self.GetBackgroundColour()
backBrush = wx.Brush(backColour, wx.SOLID)
dc.SetBackground(backBrush)
dc.Clear()
if width < 80 or height < 80 or not self.geoTrack:
return
avePoints = 1
isPointToPoint = getattr(self.geoTrack, 'isPointToPoint', False)
self.r = int(width / 4)
if self.r * 2 > height:
self.r = int(height / 2)
self.r -= (self.r & 1) # Make sure that r is an even number.
r = self.r
# Get the fonts if needed.
if self.rLast != r:
tHeight = int(r / 8.0)
self.numberFont = wx.Font( (0,tHeight), wx.FONTFAMILY_SWISS, wx.FONTSTYLE_NORMAL, wx.FONTWEIGHT_NORMAL )
self.timeFont = self.numberFont
self.highlightFont = wx.Font( (0,tHeight * 1.6), wx.FONTFAMILY_SWISS, wx.FONTSTYLE_NORMAL, wx.FONTWEIGHT_NORMAL )
self.positionFont = wx.Font( (0,tHeight*0.85*0.7), wx.FONTFAMILY_SWISS, wx.FONTSTYLE_NORMAL, wx.FONTWEIGHT_NORMAL )
self.bibFont = wx.Font( (0,tHeight*0.85), wx.FONTFAMILY_SWISS, wx.FONTSTYLE_ITALIC, wx.FONTWEIGHT_BOLD )
self.nameFont = wx.Font((0,tHeight*0.85), wx.FONTFAMILY_SWISS, wx.FONTSTYLE_NORMAL, wx.FONTWEIGHT_BOLD )
self.rLast = r
tHeight = int(r / 8.0)
textVSpace = tHeight*0.2
laneWidth = (r/2) / self.laneMax
border = laneWidth * 1.5 / 2
trackWidth = width - border * 2
topMargin = border + tHeight + textVSpace
trackHeight = height - topMargin - border
self.geoTrack.setDisplayRect( border, topMargin, trackWidth, trackHeight )
# Draw the course.
dc.SetBrush( wx.TRANSPARENT_BRUSH )
drawPoints = self.geoTrack.getXYTrack()
if width != self.widthLast or height != self.heightLast:
self.widthLast, self.heightLast = width, height
locations = ['NE', 'SE', 'NW', 'SW', ]
compassWidth, compassHeight = width * 0.25, height * 0.25
inCountBest = len(drawPoints) + 1
self.compassLocation = locations[0]
for loc in locations:
xCompass = 0 if 'W' in loc else width - compassWidth
yCompass = 0 if 'S' in loc else height - compassHeight
inCount = sum( 1 for x, y in drawPoints
if xCompass <= x < xCompass + compassWidth and
yCompass <= y < yCompass + compassHeight )
if inCount < inCountBest:
inCountBest = inCount
self.compassLocation = loc
if inCount == 0:
break
dc.SetPen( wx.Pen(wx.Colour(128,128,128), laneWidth * 1.25 + 2, wx.SOLID) )
if isPointToPoint:
dc.DrawLines( drawPoints )
else:
dc.DrawPolygon( drawPoints )
dc.SetPen( wx.Pen(self.trackColour, laneWidth * 1.25, wx.SOLID) )
if isPointToPoint:
dc.DrawLines( drawPoints )
else:
dc.DrawPolygon( drawPoints )
# Draw a centerline to show all the curves in the course.
dc.SetPen( wx.Pen(wx.Colour(80,80,80), 1, wx.SOLID) )
if isPointToPoint:
dc.DrawLines( drawPoints )
else:
dc.DrawPolygon( drawPoints )
# Draw a finish line.
finishLineLength = laneWidth * 2
if isPointToPoint:
x1, y1, x2, y2 = LineNormal( drawPoints[-1][0], drawPoints[-1][1], drawPoints[-2][0], drawPoints[-2][1], laneWidth * 2 )
else:
x1, y1, x2, y2 = LineNormal( drawPoints[0][0], drawPoints[0][1], drawPoints[1][0], drawPoints[1][1], laneWidth * 2 )
dc.SetPen( wx.Pen(wx.WHITE, laneWidth / 1.5, wx.SOLID) )
dc.DrawLine( x1, y1, x2, y2 )
dc.SetPen( wx.Pen(wx.BLACK, laneWidth / 5, wx.SOLID) )
dc.DrawLine( x1, y1, x2, y2 )
if isPointToPoint:
x1, y1, x2, y2 = LineNormal( drawPoints[-1][0], drawPoints[-1][1], drawPoints[-2][0], drawPoints[-2][1], laneWidth * 4 )
else:
x1, y1, x2, y2 = LineNormal( drawPoints[0][0], drawPoints[0][1], drawPoints[1][0], drawPoints[1][1], laneWidth * 4 )
dc.DrawBitmap( self.checkeredFlag, x2 - self.checkeredFlag.Width/2, y2 - self.checkeredFlag.Height/2, False )
# Draw starting arrow showing direction.
if not self.data and not isPointToPoint and len(drawPoints) > avePoints:
x1, y1 = drawPoints[0][0], drawPoints[0][1]
x2, y2 = drawPoints[1][0], drawPoints[1][1]
a = atan2( y2-y1, x2-x1 )
x2 = int(x1 + cos(a) * laneWidth*4)
y2 = int(y1 + sin(a) * laneWidth*4)
dc.SetPen( wx.Pen(wx.BLACK, laneWidth / 4, wx.SOLID) )
dc.DrawLine( x1, y1, x2, y2 )
a = atan2( y1-y2, x1-x2 )
x1, y1 = x2, y2
arrowLength = 1.25
arrowAngle = 3.14159/8.0
x2 = int(x1 + cos(a+arrowAngle) * laneWidth*arrowLength)
y2 = int(y1 + sin(a+arrowAngle) * laneWidth*arrowLength)
dc.DrawLine( x1, y1, x2, y2 )
x2 = int(x1 + cos(a-arrowAngle) * laneWidth*arrowLength)
y2 = int(y1 + sin(a-arrowAngle) * laneWidth*arrowLength)
dc.DrawLine( x1, y1, x2, y2 )
# Draw the riders
dc.SetFont( self.numberFont )
dc.SetPen( wx.BLACK_PEN )
numSize = (r/2)/self.laneMax
self.lapCur = 0
topFew = {}
riderRadius = laneWidth * 0.5
thickLine = r / 32
highlightPen = wx.Pen( wx.WHITE, thickLine * 1.0 )
riderPosition = {}
if self.data:
riderXYPT = []
for num, d in self.data.iteritems():
xypt = list(self.getRiderXYPT(num))
xypt.insert( 0, num )
riderXYPT.append( xypt )
# Sort by reverse greatest distance, then by shortest time.
# Do this so the leaders are drawn last.
riderXYPT.sort( key=lambda x : ( x[3] if x[3] is not None else 0.0,
-x[4] if x[4] is not None else 0.0) )
topFew = {}
for j, i in enumerate(xrange(len(riderXYPT) - 1, max(-1,len(riderXYPT)-self.topFewCount-1), -1)):
topFew[riderXYPT[i][0]] = j
numRiders = len(riderXYPT)
for j, (num, x, y, position, time) in enumerate(riderXYPT):
riderPosition[num] = numRiders - j
if x is None:
continue
dc.SetBrush( wx.Brush(self.colours[num % len(self.colours)], wx.SOLID) )
try:
i = topFew[num]
dc.SetPen( wx.Pen(self.topFewColours[i], thickLine) )
if num in self.numsToWatch:
dc.SetFont( self.highlightFont )
except KeyError:
if num in self.numsToWatch:
dc.SetFont( self.highlightFont )
dc.SetPen( highlightPen )
i = 9999
else:
i = None
DrawShape( dc, num, x, y, riderRadius )
if i is not None:
if not self.numsToWatch or num in self.numsToWatch:
dc.DrawLabel('{}'.format(num), wx.Rect(x+numSize, y-numSize, numSize*2, numSize*2) )
if i is not None:
dc.SetPen( wx.BLACK_PEN )
dc.SetFont( self.numberFont )
# Convert topFew from dict to list.
leaders = [0] * len(topFew)
for num, position in topFew.iteritems():
leaders[position] = num
yTop = height - self.infoLines * tHeight
tWidth, tHeight = dc.GetTextExtent( '999' )
yCur = tHeight+textVSpace*1.6
# Draw the race time
secs = int( self.t )
if secs < 60*60:
tStr = '%d:%02d ' % ((secs / 60)%60, secs % 60 )
else:
tStr = '%d:%02d:%02d ' % (secs / (60*60), (secs / 60)%60, secs % 60 )
tWidth = dc.GetTextExtent( tStr )[0]
dc.DrawText( tStr, width - tWidth, yCur )
yCur += tHeight
# Draw the current lap
dc.SetFont( self.timeFont )
if self.lapCur and leaders:
leaderRaceTimes = self.data[leaders[0]]['raceTimes']
if leaderRaceTimes and leaderRaceTimes[0] < leaderRaceTimes[-1]:
maxLaps = len(leaderRaceTimes) - 1
self.iLapDistance, lapRatio = GetLapRatio( leaderRaceTimes, self.t, self.iLapDistance )
lapRatio = int(lapRatio * 10.0) / 10.0 # Always round down, not to nearest decimal.
text = [u'{:06.1f} {} {} '.format(self.iLapDistance + lapRatio, _('Laps of'), maxLaps),
u'{:06.1f} {}'.format(maxLaps - self.iLapDistance - lapRatio, _('Laps to go'))]
cat = self.categoryDetails.get( self.data[leaders[0]].get('raceCat', None) )
if cat:
distanceCur, distanceRace = None, None
if cat.get('lapDistance', None) is not None:
text.append( '' )
flr = self.data[leaders[0]].get('flr', 1.0)
distanceLap = cat['lapDistance']
distanceRace = distanceLap * (flr + maxLaps-1)
if self.iLapDistance == 0:
distanceCur = lapRatio * (distanceLap * flr)
else:
distanceCur = distanceLap * (flr + self.iLapDistance - 1 + lapRatio)
elif cat.get('raceDistance', None) is not None and leaderRaceTimes[0] != leaderRaceTimes[-1]:
distanceRace = cat['raceDistance']
distanceCur = (self.t - leaderRaceTimes[0]) / (leaderRaceTimes[-1] - leaderRaceTimes[0]) * distanceRace
distanceCur = max( 0.0, min(distanceCur, distanceRace) )
if distanceCur is not None:
if distanceCur != distanceRace:
distanceCur = int( distanceCur * 10.0 ) / 10.0
text.extend( [ u'{:05.1f} {} {} {:.1f}'.format(distanceCur, self.units, _('of'), distanceRace),
u'{:05.1f} {} {}'.format(distanceRace - distanceCur, self.units, _('to go'))] )
widthMax = max( dc.GetTextExtent(t)[0] for t in text )
if 'N' in self.compassLocation:
yCur = height - tHeight * (len(text) + 1)
if 'E' in self.compassLocation:
xCur = width - widthMax
else:
xCur = tHeight * 0.5
for row, t in enumerate(text):
yCur += tHeight
if not t:
continue
tShow = t.lstrip('0')
if tShow.startswith('.'):
tShow = '0' + tShow
dc.DrawText( tShow, xCur + dc.GetTextExtent('0' * (len(t) - len(tShow)))[0], yCur )
# Draw the leader board.
bannerItems = []
for i, leader in enumerate(leaders):
bannerItems.append( (leaders[i], i+1) )
if self.numsToWatch:
rp = []
for n in self.numsToWatch:
try:
p = riderPosition[n]
rp.append( (p, n) )
except KeyError:
pass
rp.sort()
for w in rp:
bannerItems.append( (w[1], w[0]) )
if self.data:
self.drawBanner( dc, width, height, tHeight, bannerItems )
def OnEraseBackground(self, event):
# This is intentionally empty, because we are using the combination
# of wx.BufferedPaintDC + an empty OnEraseBackground event to
# reduce flicker
pass
if __name__ == '__main__':
fname = r'C:\Projects\CrossMgr\bugs\Stuart\20160419-glenlyon\2016-04-19-WTNC Glenlyon 710-r2-Course.gpx'
print GpxHasTimes( fname )
data = {}
for num in xrange(100,200):
mean = random.normalvariate(6.0, 0.3)
raceTimes = [0]
for lap in xrange( 4 ):
raceTimes.append( raceTimes[-1] + random.normalvariate(mean, mean/20)*60.0 )
data[num] = { 'raceTimes': raceTimes, 'lastTime': raceTimes[-1], 'flr': 1.0, 'status':'Finisher', 'speed':'32.7 km/h' }
# import json
# with open('race.json', 'w') as fp: fp.write( json.dumps(data, sort_keys=True, indent=4) )
app = wx.App(False)
mainWin = wx.Frame(None,title="GeoAnimation", size=(800,700))
animation = GeoAnimation(mainWin)
geoTrack = GeoTrack()
geoTrack.read( fname )
geoTrack.writeGPXFile( 'geotrack.gpx' )
#sys.exit()
#geoTrack.read( 'St._John__039_s_Cyclocross_course_v2.gpx' )
#geoTrack.read( 'Camp Arrowhead mtb GPS course.gpx' )
#geoTrack.read( 'Races/Midweek/Midweek_Learn_to_Race_and_Elite_Series_course.gpx' )
#geoTrack.reverse()
print 'Clockwise:', geoTrack.isClockwise()
zf = zipfile.ZipFile( 'track.kmz', 'w', zipfile.ZIP_DEFLATED )
zf.writestr( 'track.kml', geoTrack.asKmlTour('Race Track') )
zf.close()
with open('track.kml', 'w') as f:
f.write( geoTrack.asKmlTour('Race Track') )
#sys.exit()
animation.SetGeoTrack( geoTrack )
animation.SetData( data )
animation.Animate( 2*60, 60*60 )
mainWin.Show()
app.MainLoop()
|
[
"edward.sitarski@gmail.com"
] |
edward.sitarski@gmail.com
|
84384db20a89bc39c9f6bc69a468b41c3d98f61d
|
1397af1014b8d1ca89a66b58d8eb16a52d05ac17
|
/HSTB/drivers/pos_mv/POSMV_V4_UserManual.py
|
739e043e3451b5b97d8799e1cc50295584505fdf
|
[
"CC0-1.0"
] |
permissive
|
mfkiwl/drivers
|
079466043ae5ca8ea29f5e1ab4a009cb852d3a68
|
d952d9367dcc303e54015bcc5fa1e8e0206cd9b6
|
refs/heads/main
| 2023-04-09T02:12:59.305896
| 2021-04-05T02:58:34
| 2021-04-05T02:58:34
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 175,592
|
py
|
Contents = """
The information contained herein is proprietary to Applanix corporation. Release to third parties of this publication or of information contained herein is prohibited without the prior written
consent of Applanix Corporation. Applanix reserves the right to change the specifications and information in this document without notice. A record of the changes made to this document is
contained in the Revision History sheet.
POS MV V4 User ICD
Document # : PUBS-ICD-000551
Revision: 0.0
Date: 12-May-06
ii
Table of Contents
Page
1 SCOPE .................................................................................................................................................. 1
2 ETHERNET AND DATA ACQUISITION INTERFACES................................................................ 1
3 OUTPUT GROUPS .............................................................................................................................. 3
3.1 Introduction .................................................................................................................................... 3
3.2 Output Group Specification............................................................................................................ 3
3.2.1 Group Data Rates .................................................................................................................... 3
3.2.2 Group Classification and Numbering Convention .................................................................. 3
3.2.3 Group Format .......................................................................................................................... 6
3.2.4 Compatibility with Previous POS Products ............................................................................ 9
3.3 Output Group Tables .................................................................................................................... 10
3.3.1 POS Data Groups .................................................................................................................. 10
3.3.1.1 Group 1: Vessel Position, Velocity, Attitude & Dynamics ........................................... 10
3.3.1.2 Group 2: Vessel Navigation Performance Metrics ........................................................ 12
3.3.1.3 Group 3: Primary GPS Status ........................................................................................ 13
3.3.1.4 Group 4: Time-tagged IMU Data................................................................................... 16
3.3.1.5 Group 5: Event 1 ............................................................................................................ 17
3.3.1.6 Group 6: Event 2 ............................................................................................................ 17
3.3.1.7 Group 7: PPS Time Recovery and Status ...................................................................... 17
3.3.1.8 Group 8: Reserved ......................................................................................................... 18
3.3.1.9 Group 9: GAMS Solution .............................................................................................. 18
3.3.1.10 Group 10: General Status and FDIR .............................................................................. 20
3.3.1.11 Group 11: Secondary GPS Status .................................................................................. 26
3.3.1.12 Group 12: Auxiliary 1 GPS Status ................................................................................. 27
3.3.1.13 Group 13: Auxiliary 2 GPS Status ................................................................................. 27
3.3.1.14 Group 14: Calibrated Installation Parameters ................................................................ 29
3.3.1.15 Group 15: Reserved ....................................................................................................... 31
3.3.1.16 Group 16: Reserved ....................................................................................................... 31
iii
3.3.1.17 Group 17: User Time Status........................................................................................... 31
3.3.1.18 Group 20: IIN Solution Status ....................................................................................... 32
3.3.1.19 Group 21: Base GPS 1 Modem Status ........................................................................... 33
3.3.1.20 Group 22: Base GPS 2 Modem Status ........................................................................... 34
3.3.1.21 Group 23: Auxiliary 1 GPS Display Data...................................................................... 34
3.3.1.22 Group 24: Auxiliary 2 GPS Display Data...................................................................... 34
3.3.1.23 Group 25: Reserved ....................................................................................................... 35
3.3.1.24 Group 26: Reserved ....................................................................................................... 35
3.3.1.25 Group 99: Versions and Statistics .................................................................................. 35
3.3.1.26 Group 102: Sensor 1 Position, Velocity, Attitude, Heave & Dynamics ........................ 37
3.3.1.27 Group 103: Sensor 2 Position, Velocity, Attitude, Heave & Dynamics ........................ 37
3.3.1.28 Group 104: Sensor 1 Position, Velocity, and Attitude Performance Metrics ................ 38
3.3.1.29 Group 105: Sensor 2 Position, Velocity, and Attitude Performance Metrics ................ 38
3.3.1.30 Group 110: MV General Status & FDIR ....................................................................... 39
3.3.1.31 Group 111: Heave & True Heave Data.......................................................................... 40
3.3.1.32 Group 112: NMEA Strings ............................................................................................ 41
3.3.1.33 Group 113: Heave & True Heave Performance Metrics................................................ 41
3.3.1.34 Group 114: TrueZ & TrueTide Data .............................................................................. 42
3.3.2 Raw Data Groups .................................................................................................................. 43
3.3.2.1 Group 10001: Primary GPS Data Stream ...................................................................... 43
3.3.2.2 Group 10002: Raw IMU Data........................................................................................ 44
3.3.2.3 Group 10003: Raw PPS ................................................................................................. 45
3.3.2.4 Group 10004: Raw Event 1............................................................................................ 45
3.3.2.5 Group 10005: Raw Event 2............................................................................................ 45
3.3.2.6 Group 10006: Reserved ................................................................................................. 46
3.3.2.7 Group 10007: Auxiliary 1 GPS Data Stream................................................................. 46
3.3.2.8 Group 10008: Auxiliary 2 GPS Data Stream................................................................. 46
3.3.2.9 Group 10009: Secondary GPS Data Stream .................................................................. 47
3.3.2.10 Group 10010: Reserved ................................................................................................. 47
3.3.2.11 Group 10011: Base GPS 1 Data Stream ........................................................................ 48
3.3.2.12 Group 10012: Base GPS 2 Data Stream ........................................................................ 48
iv
4 MESSAGE INPUT AND OUTPUT ................................................................................................... 49
4.1 Introduction .................................................................................................................................. 49
4.2 Message Output Data Rates.......................................................................................................... 49
4.2.1 Message Numbering Convention .......................................................................................... 49
4.2.2 Compatibility with Previous POS Products .......................................................................... 52
4.3 Message Format ........................................................................................................................... 52
4.3.1 Introduction ........................................................................................................................... 52
4.4 Messages Tables........................................................................................................................... 54
4.4.1 General Messages.................................................................................................................. 54
4.4.1.1 Message 0: Acknowledge .............................................................................................. 54
4.4.2 Installation Parameter Set-up Messages................................................................................ 56
4.4.2.1 Message 20: General Installation and Processing Parameters ....................................... 56
4.4.2.2 Message 21: GAMS Installation Parameters ................................................................. 61
4.4.2.3 Message 22: Reserved.................................................................................................... 63
4.4.2.4 Message 23: Reserved.................................................................................................... 63
4.4.2.5 Message 24: User Accuracy Specifications ................................................................... 63
4.4.2.6 Message 25: Reserved.................................................................................................... 64
4.4.2.7 Message 30: Primary GPS Setup ................................................................................... 64
4.4.2.8 Message 31: Secondary GPS Setup ............................................................................... 67
4.4.2.9 Message 32: Set POS IP Address .................................................................................. 69
4.4.2.10 Message 33: Event Discrete Setup................................................................................. 71
4.4.2.11 Message 34: COM Port Setup........................................................................................ 71
4.4.2.12 Message 35: See Message 135....................................................................................... 73
4.4.2.13 Message 36: See Message 136....................................................................................... 73
4.4.2.14 Message 37: Base GPS 1 Setup ..................................................................................... 73
4.4.2.15 Message 38: Base GPS 2 Setup ..................................................................................... 74
4.4.2.16 Message 40: Reserved.................................................................................................... 75
4.4.2.17 Message 41: Reserved.................................................................................................... 75
4.4.3 Processing Control Messages................................................................................................ 75
4.4.3.1 Message 50: Navigation Mode Control ......................................................................... 75
4.4.3.2 Message 51: Display Port Control ................................................................................. 76
v
4.4.3.3 Message 52: Real-Time Data Port Control .................................................................... 77
4.4.3.4 Message 53: Reserved.................................................................................................... 79
4.4.3.5 Message 54: Save/Restore Parameters Control.............................................................. 79
4.4.3.6 Message 55: User Time Recovery ................................................................................. 80
4.4.3.7 Message 56: General Data ............................................................................................. 80
4.4.3.8 Message 57: Installation Calibration Control ................................................................ 82
4.4.3.9 Message 58: GAMS Calibration Control....................................................................... 84
4.4.3.10 Message 60: Reserved.................................................................................................... 85
4.4.3.11 Message 61: Logging Data Port Control........................................................................ 85
4.4.4 Program Control Override Messages .................................................................................... 85
4.4.4.1 Message 90: Program Control........................................................................................ 85
4.4.4.2 Message 91: GPS Control .............................................................................................. 86
4.4.4.3 Message 92: Reserved.................................................................................................... 87
4.4.4.4 Message 93: Reserved.................................................................................................... 87
4.4.5 POS MV Specific Messages ................................................................................................. 87
4.4.5.1 Message 105: Analog Port Set-up.................................................................................. 87
4.4.5.2 Message 106: Heave Filter Set-up ................................................................................. 89
4.4.5.3 Message 111: Password Protection Control................................................................... 90
4.4.5.4 Message 120: Sensor Parameter Set-up ......................................................................... 91
4.4.5.5 Message 121: Vessel Installation Parameter Set-up ...................................................... 94
4.4.5.6 Message 135: NMEA Output Set-up ............................................................................. 95
4.4.5.7 Message 136: Binary Output Set-up .............................................................................. 97
4.4.6 POS MV Specific Diagnostic Control Messages ................................................................ 100
4.4.6.1 Message 20102: Binary Output Diagnostics................................................................ 100
4.4.6.2 Message 20103: Analog Port Diagnostics ................................................................... 101
5 APPENDIX A: DATA FORMAT DESCRIPTION......................................................................... 103
5.1 Data Format ................................................................................................................................ 103
5.2 Invalid Data Values .................................................................................................................... 105
6 APPENDIX B: GLOSSARY OF ACRONYMS ............................................................................... 107
vi
List of Tables
Table 1: Output Group Data Rates................................................................................................................ 4
Table 2: Group format .................................................................................................................................. 6
Table 3: Time and distance fields ................................................................................................................. 7
Table 4: Group 1: Vessel position, velocity, attitude & dynamics ............................................................. 10
Table 5: Group 1 alignment status .............................................................................................................. 11
Table 6: Group 2: Vessel navigation performance metrics......................................................................... 12
Table 7: Group 3: Primary GPS status........................................................................................................ 13
Table 8: GPS receiver channel status data .................................................................................................. 14
Table 9: GPS navigation solution status ..................................................................................................... 14
Table 10: GPS channel status ..................................................................................................................... 15
Table 11: GPS receiver type ....................................................................................................................... 15
Table 12: Trimble BD950 GPS receiver status........................................................................................... 16
Table 13: Group 4: Time-tagged IMU data ................................................................................................ 16
Table 14: Group 5/6: Event 1/2 .................................................................................................................. 17
Table 15: Group 7: PPS Time Recovery and Status ................................................................................... 18
Table 16: Group 9: GAMS Solution Status ................................................................................................ 19
Table 17: Group 10: General and FDIR status ........................................................................................... 21
Table 18: Group 11: Secondary GPS status................................................................................................ 26
Table 19: Group 12/13: Auxiliary 1/2 GPS status ...................................................................................... 28
Table 20: Group 14: Calibrated installation parameters ............................................................................. 29
Table 21: IIN Calibration Status ................................................................................................................. 31
Table 22: Group 20: IIN solution status...................................................................................................... 32
Table 23: Group 21/22: Base GPS 1/2 Modem Status................................................................................ 34
Table 24: Group 23/24: Auxiliary 1/2 GPS raw display data ..................................................................... 35
Table 25: Group 99: Versions and statistics ............................................................................................... 35
Table 26: Group 102/103: Sensor 1/2 Position, Velocity, Attitude, Heave & Dynamics........................... 37
Table 27: Group 104/105: Sensor 1/2 Position, Velocity, and Attitude Performance Metrics ................... 39
Table 28: Group 110: MV General Status & FDIR .................................................................................... 39
vii
Table 29: Group 111: Heave & True Heave Data....................................................................................... 40
Table 30: Group 112: NMEA Strings ......................................................................................................... 41
Table 31: Group 113: Heave & True Heave Performance Metrics............................................................. 42
Table 32: Group 114: TrueZ & TrueTide Data........................................................................................... 43
Table 33: Group 10001: Primary GPS data stream..................................................................................... 44
Table 34: Group 10002: Raw IMU data ..................................................................................................... 44
Table 35: Group 10003: Raw PPS .............................................................................................................. 45
Table 36: Group 10004/10005: Raw Event 1/2 .......................................................................................... 46
Table 37: Group 10007/10008: Auxiliary 1/2 GPS data streams ............................................................... 46
Table 38: Group 10009: Secondary GPS data stream................................................................................. 47
Table 39: Group 10011/10012: Base GPS 1/2 data stream......................................................................... 48
Table 40: Control messages output data rates............................................................................................. 50
Table 41: Message format........................................................................................................................... 52
Table 42: Message 0: Acknowledge ........................................................................................................... 55
Table 43: Message response codes ............................................................................................................. 55
Table 44: Message 20: General Installation and Processing Parameters .................................................... 59
Table 45: Message 21: GAMS installation parameters............................................................................... 62
Table 46: Message 24: User accuracy specifications.................................................................................. 63
Table 47: Message 30: Primary GPS Setup ................................................................................................ 65
Table 48: RS-232/422 communication protocol settings............................................................................ 66
Table 49: Message 31: Secondary GPS Setup ............................................................................................ 68
Table 50: Message 32: Set POS IP Address ............................................................................................... 69
Table 51: Message 33: Event Discrete Setup.............................................................................................. 71
Table 52: Message 34: COM Port Setup .................................................................................................... 72
Table 53: COM port parameters ................................................................................................................. 73
Table 54: Message 37/38: Base GPS 1/2 Setup .......................................................................................... 74
Table 55: Message 50: Navigation mode control ....................................................................................... 76
Table 56: Message 51: Display Port Control .............................................................................................. 77
Table 57: Message 52/61: Real-Time/Logging Data Port Control ............................................................. 78
Table 58: Message 54: Save/restore parameters control............................................................................. 79
Table 59: Message 55: User time recovery................................................................................................. 80
Table 60: Message 56: General data ........................................................................................................... 81
viii
Table 61: Message 57: Installation calibration control ............................................................................... 83
Table 62: Message 58: GAMS Calibration Control.................................................................................... 84
Table 63: Message 90: Program Control .................................................................................................... 86
Table 64: Message 91: GPS control............................................................................................................ 87
Table 65: Message 105: Analog Port Set-up .............................................................................................. 87
Table 66: Message 106: Heave Filter Set-up .............................................................................................. 89
Table 67: Message 111: Password Protection Control ............................................................................... 90
Table 68: Message 120: Sensor Parameter Set-up ...................................................................................... 92
Table 69: Message 121: Vessel Installation Parameter Set-up ................................................................... 94
Table 70: Message 135: NMEA Output Set-up .......................................................................................... 95
Table 71: NMEA Port Definition................................................................................................................ 95
Table 72: Message 136: Binary Output Set-up ........................................................................................... 97
Table 73: Binary Port Definition ................................................................................................................ 97
Table 74: Message 20102: Binary Output Diagnostics............................................................................. 100
Table 75: Message 20103: Analog Port Diagnostics ................................................................................ 101
Table 76: Byte Format .............................................................................................................................. 103
Table 77: Short Integer Format ................................................................................................................. 103
Table 78: Long Integer Format ................................................................................................................. 103
Table 79: Single-Precision Real Format ................................................................................................... 103
Table 80: Double-Precision Real Format.................................................................................................. 104
Table 81: Invalid data values .................................................................................................................... 106
1
"""
Structures = """
1 Scope
This document presents the functional specification of the POS MV Control, Display and Data
Ports and data structures used by the POS Computer System (PCS) to communicate with the user
over its Control, Display and Data Ports. The document is separated into specifications of output
data groups and input and output control messages that are relevant to the user.
This document describes the data structures that are implemented in the V4 system version of
POS MV. POS MV V4 shall hereafter be refered to as POS MV or simply POS.
2 Ethernet and Data Acquisition Interfaces
The POS MV provides a mechanism for control and data exchange in the form of control
messages and data groups. Control messages direct POS MV to execute a well-defined action
such as mode transition, or start or stop of data acquisition. Data groups contain the data output
by the POS MV for the purpose of display on a control computer, recording to a mass storage
device, or for real-time processing by another subsystem. POS MV exchanges all control
messages with a user via the POS's Control Port. It outputs all data groups on the Display and
Data Logging Ports.
Applanix provides a program called MV POSView with the POS MV to run on the user's PC-
compatible computer running Microsoft Windows 2000 or XP. The user's PC is called the client
computer and is used to both control the system and allow the user to view POS data via the
control messages and data groups specified in this document. The user can create custom control
and display software that implements similar functionality. In either case, the program that
provides the control and display functions on the client computer will hereafter be referred to as
the POS Controller.
POS MV provides one physical Ethernet interface that has four logical communications ports
called the Display Port, the Control Port, the Real-Time Data Port and the Logging Data Port.
POS MV outputs data in specified group formats defined in the body of this document. Messages
are used to both change and describe the system configuration. Both message and group data are
output on three ports: Display, Real-Time Data and Logging Data. Messages are input on the
Control Port.
The Display Port is a low rate UDP output port that is designed to broadcast low rate data and
status information for display. The POS Controller reads the message and group data from this
port for display purposes. POS MV is designed to allow multiple POS Controller programs
running on different computers to receive and display data from the PCS. However, only one
POS Controller at any time can be designated as the master controller and be capable of sending
commands to the PCS via the Control Port. This arrangement prevents conflicting controller
information from being received by the PCS.
The port address for the Display Port is 5600. The subnet mask is 255.255.255.255.
The Real-Time Data Port is a high rate UDP output port that is designed to output multiple data
2
groups at high data rates with minimal latency. Since there is no handshaking implemented in
UDP there is a possibility that the client may not receive all data packets. The Real-Time Data
Port design emphasizes real-time delivery of the data without the overhead of ensuring totally
reliable data transfer. To receive data from the Real-Time Data Port, a computer must listen to
the port using the UDP socket protocol. Several computers may be connected to the Real-Time
Data Port at any one time. MV POSView uses this port to obtain some higher rate data from
POS MV that is required for display plots.
The Logging Data Port is a high rate TCP/IP output port that is designed to output multiple data
groups at high data rates. The emphasis is on reliable and efficient data transfer to the client
computer. The Logging Data Port implements several buffers to store data in the event the
TCP/IP connection between POS and the client computer becomes bogged down or requires
retransmission of packets. To receive data from the Logging Data Port, a computer must connect
to it using the TCP/IP socket protocol. Only one computer may be connected to the Logging
Data Port at any one time. MV POSView can log this data to the client computer's hard drive.
The port address for the Real-Time Data Port is 5602 and 5603 for the Logging Data Port. The
IP subnet mask is 255.255.255.255.
The user is able to select, from several different options, the data required for output. Each port
can be configured to output different data than the other ports. POS MV accepts changes to the
output options of the Display, Data and Logging ports at any time. MV POSView automatically
sends the Display Port control message to output the data groups that it requires to populate the
display windows as the user opens them.
The Control Port is designed to receive set-up and control commands from the POS Controller
and to acknowledge the commands to indicate successful reception of each message. The Control
Port is bi-directional and uses the TCP/IP protocol to communicate with the POS Controller.
The port address for the Control Port is 5601. The IP subnet mask is 255.255.255.255.
3
3 Output Groups
3.1 Introduction
POS MV organizes the data going to the Display and Data ports into output groups. Each group
contains a block of related data at a specified group rate. The user directs POS MV via Control
Port messages generated by the POS Controller to include a group or groups containing data
items of interest in the Display and Data port data streams. The output groups have been
designed to allow simple parsing and decoding of the output data streams into the selected
groups. All groups are framed by ASCII delimiters and have identifiers that uniquely identify
each group.
The output data rate on the Display Port is typically once per second or less. This output is
intended for updating the POS Controller display; hence a higher data output rate is not required.
The output data rate on the Data Ports is group dependent and has a range from 1Hz to an IMU
rate. For certain output groups, it is possible to select, from several options, the output data rate
of choice on the Data ports.
3.2 Output Group Specification
3.2.1 Group Data Rates
There are several output groups defined for the Display and Data ports. The user can select any
of these groups and may select different groups for the Display Port, Real-Time Data Port and
Logging Data Port. The Standby and Navigate modes shown in Table 1 are defined in
POS MV V4 User Guide.
3.2.2 Group Classification and Numbering Convention
All POS products use the following group numbering convention. POS MV outputs the group
categories shown. Reserved group numbers are assigned to other products.
0 - 99 POS Core User data groups
100 - 199 POS MV User data groups
200 - 299 POS AV User data groups
300 - 399 POS TG User data groups
400 - 499 POS LV User data groups
500 - 599 POS LS User data groups
600 - 699 POS SV User data groups
700 - 799 POS MC User data groups
800 - 9999 Reserved
4
10000 - 10099 POS Core Raw data groups
10100 - 10199 POS MV Raw data groups
10200 - 10299 POS AV Raw data groups
10300 - 10399 POS TG Raw data groups
10400 - 10499 POS LV Raw data groups
10500 - 10599 POS LS Raw data groups
10600 - 10699 POS SV Raw data groups
10700 - 10799 POS MC Raw data groups
10800 - 19999 Reserved
20000 POS Core User diagnostic group
20001 - 20099 POS Core Proprietary diagnostic groups
20100 POS MV User diagnostic group
Core User data groups and MV User data groups comprise groups that contain real-time
operational data. During normal operation, these are the only groups that a user would require for
observing or recording relevant POS MV data.
Core Raw data groups and POS MV Raw data groups comprise the unaltered data streams
from the navigation sensors received by the PCS. POS MV packages the sensor data into the
specified group formats and outputs the groups. These groups are typically used for post-mission
processing and analysis.
Table 0: PCSRecordHeader
Creating this type since POS MV spec didn't declare a header typ eeven though they use two interchangeable headers
Start 4 char $GRP N/A
ID 2 ushort 2 N/A
Byte count 2 ushort 80 bytes
Table 1: GrpRecordHeader
Creating this type since POS MV spec didn't declare a header typ eeven though they use two interchangeable headers
Start 4 char $GRP N/A
ID 2 ushort 2 N/A
Byte count 2 ushort 80 bytes
Time 1 8 double N/A seconds
Time 2 8 double N/A seconds
Distance tag 8 double N/A meters
Time types 1 byte Time 1 Select Value in bits 0-3
xTable 1: Output Group Data Rates
Display Port Output
Rate (Hz)
Real-Time Data
Port Output Rate
(Hz)
Logging Data Port
Output Rate (Hz)
Group Contents
Standby Navigate Standby Navigate Standby Navigate
POS Data Groups
1* Vessel position, velocity, attitude &
dynamics
- 1 1 - 1-200 - 1-200
2 Vessel navigation performance metrics - 1 1 - 1 - 1
3 Primary GPS status 1 1 1 1 1 1 1 1
4 Time-tagged IMU data 1 1 200 200 200 200
5 Event 1 data 2 1 1 1-500 1-500 1-500 1-500
6 Event 2 data 2 1 1 1-500 1-500 1-500 1-500
7 PPS data 2 1 1 1 1 1 1
8 Reserved - - - - - -
5
Display Port Output
Rate (Hz)
Real-Time Data
Port Output Rate
(Hz)
Logging Data Port
Output Rate (Hz)
Group Contents
Standby Navigate Standby Navigate Standby Navigate
9 GAMS solution status - 1 - 1 - 1
10 General and FDIR status 1 1 1 1 1 1 1 1
11 Secondary GPS status 1 1 1 1 1 1
12 Auxiliary 1 GPS status 1 1 1 1 1 1
13 Auxiliary 2 GPS status 1 1 1 1 1 1
14 Calibrated installation parameters - 1 - 1 - 1
15 Reserved - - - - - -
16 Reserved - - - - - -
17 User time status 1 1 1 1 1 1
20 IIN solution status - 1 - 1 - 1
21 Base 1 GPS modem status 1 1 1 1 1 1
22 Base 2 GPS modem status 1 1 1 1 1 1
23 Auxiliary 1 GPS display data 2 1 1 1 1 1 1
24 Auxiliary 2 GPS display data 2 1 1 1 1 1 1
25 Reserved - - - - - -
26 Reserved - - - - - -
99 Versions and statistics 1 1 1 1 1 1
102 Sensor 1 position, velocity, attitude,
heave & dynamics
- 1 - 1-200 - 1-200
103 Sensor 2 position, velocity, attitude,
heave & dynamics
- 1 - 1-200 - 1-200
104 Sensor 1 position, velocity & attitude
performance metrics
- 1 - 1 - 1
105 Sensor 2 position, velocity & attitude
performance metrics
- 1 - 1 - 1
110 MV general status & FDIR 1 1 1 1 1 1
111 Heave & True Heave - 1 - 25 - 25
112 NMEA strings - 1 - 1-50 - 1-50
113 Heave performance metrics - 1 - 25 - 25
114 TrueZ and TrueTide altitude - 1 - 25 - 25
Raw Data Groups
10001 Primary GPS data stream - - 1-10 1-10 1-10 1-10
6
Display Port Output
Rate (Hz)
Real-Time Data
Port Output Rate
(Hz)
Logging Data Port
Output Rate (Hz)
Group Contents
Standby Navigate Standby Navigate Standby Navigate
10002 IMU data stream - - 200 200 200 200
10003 PPS data - - 1 1 1 1
10004 Event 1 data - - 1-500 1-500 1-500 1-500
10005 Event 2 data - - 1-500 1-500 1-500 1-500
10006 Reserved - - - - - -
10007 Auxiliary 1 GPS data stream 1-10 1-10 1-10 1-10
10008 Auxiliary 2 GPS data stream 1-10 1-10 1-10 1-10
10009 Secondary GPS data stream - - 1-10 1-10 1-10 1-10
10010 Reserved - - - - - -
10011 Base 1 GPS data stream - - 0-1 0-1 0-1 0-1
10012 Base 2 GPS data stream - - 0-1 0-1 0-1 0-1
Note: When POS is in Navigation mode but not aligned then the output rate is implementation dependent.
* Data is in the vessel frame for POS MV.
1 These groups are the minimum output of the Display Port for driving the POS View display and cannot be
deselected.
2 Groups are only posted when data were available.
3.2.3 Group Format
The structure of each output group is defined in this section. The group structure is the same for
all groups and consists of a header, data and footer. Table 2 presents the complete groups
format, showing the header and footer separated by the data. The next section specifies the data
for each group.
Table 2: Group format
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort Group number N/A
Byte count 2 ushort Group dependent bytes
Time/Distance Fields 26 See Table 3
Data Group dependent size and format
Pad 0 to 3 _byte 0 N/A
7
Item Bytes Format Value Units
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Table 3: Time and distance fields
Item Bytes Format Value Units
Time 1 8 double N/A seconds
Time 2 8 double N/A seconds
Distance tag 8 double N/A meters
Time types 1 byte Time 1 Select Value in bits 0-3
Time 1: POS time 0
Time 1: GPS time 1 (default)
Time 1: UTC time 2
Time 2 Select Value in bits 4-7
Time 2: POS time 0 (default)
Time 2: GPS time 1
Time 2: UTC time 2
Time 2: User time 3
Distance type 1 byte Distance Select Value
N/A 0
POS distance 1 (default)
DMI distance 2
The header consists of the following components:
#
ASCII group start ($GRP)
#
group identification (Group ID) number
#
byte count
#
time/distance fields
The group identification or Group ID is a short unsigned integer equal to the group number
having the group numbering convention described in Section 3.2.2.
8
The byte count is a short unsigned integer that includes all fields in the group except the $GRP
delimiter, the Group ID and the byte count. Therefore, the byte count is always 8 bytes less than
the length of the group.
The time/distance fields are shown in Table 3. These occupy 26 bytes and have the same format
across all groups. They comprise the following:
#
Time 1
#
Time 2
#
Distance tag and time and distance type flags.
Time 1 is the POS MV system time of validity of the data in the group, given in one of the
following time bases:
#
POS time (time in seconds since power-on)
#
GPS seconds of the week
#
UTC seconds of the week
The user can select any of these times for Time 1. Time 1 is set to POS time on power-up and
changes to the user selected time base once the primary GPS receiver has locked on to a
sufficient number of satellites to compute a time solution.
Time 2 is the POS MV system time of validity of the data in the group, given in one of the
following time bases:
#
POS time (time in seconds since power-on)
#
GPS seconds of the week
#
UTC seconds of the week
#
User time
User time is specified by the user, with the procedure to set user time described in the
POS MV V4 User Guide. It allows the groups to be time tagged with an external computer's
time clock. The Time 2 field is always set to POS time for the raw (10000) series of data groups.
Distance tag is the distance of validity of the data in the group as determined by one of the
following distance measurement sources:
#
distance traveled derived from the POS MV blended navigation solution
#
DMI (distance measurement index) distance tag
The group data follows the header. Its format is dependent on the particular group. Some group
data lengths are fixed, whereas others may vary. For variable length groups the byte count is
always updated to reflect the actual length of the group.
9
The group is terminated by the footer, which consists of the following components:
#
a pad (if required)
#
checksum
#
ASCII group end delimiter ($#).
The pad is used to make the total lengths of all groups a multiple of four bytes. The checksum is
calculated so that the sum of byte pairs cast as short (16 bit) integers over the complete group
results in a net sum of zero.
The byte, short, ushort, long, ulong, float and double formats are defined in Appendix A: Data
Format Description.
The ranges of valid values for group fields that contain numbers are specified using the
following notation.
[a, b] implies the range a to b including the range lower and upper boundaries. A value x
that falls in this range will respect the inequality a #
x #
b.
(a, b) implies the range a to b excluding the range lower and upper boundaries. A value x
that falls in this range will respect the inequality a #
x #
b.
(a, b] implies the range a to b excluding the lower boundary and including the upper
boundary. A value x that falls in this range will respect the inequality a #
x #
b.
[a, b) implies the range a to b excluding the range lower and upper boundaries. A value x
that falls in this range will respect the inequality a #
x #
b.
If a value a or b is not given, then there is no corresponding lower or upper boundary.
The following are special cases:
(0, ) represents all positive numbers (excludes 0)
[0, ) represents all non-negative numbers (includes 0)
( , 0) represents all negative numbers (excludes 0)
( , 0] represents all non-positive numbers (includes 0)
( , ) represents all numbers in the range of valid numbers.
Group fields that contain numerical values may contain invalid numbers. Invalid byte, short,
ushort, long, ulong, float and double values are defined in Table 82 in Appendix A: Data Format
Description. POS MV outputs invalid values in fields containing numerical values for which
POS MV has no valid data. This does not apply to fields containing bit settings.
3.2.4 Compatibility with Previous POS Products
The compatibility of POS MV V4 groups with POS MV V3 products is given as follows:
The POS MV V4 group format is the same as that of the POS MV V3 products.
10
The contents of Groups 1-8 and Group 99 are the same as those of the POS MV V3 products.
However, Groups 7 and 8 have been expanded with new fields that occur before the Pad
field. This is compatible with the POS MV V3 group design. Groups 9-98 are not defined in
POS MV V3 products. Hence, no compatibility requirement exists for these groups.
Several groups in the range of Groups 9-98 are the same as or similar to some POS MV V3
product-specific groups. For example, Group 10 is similar to POS MV V3 Group 101.
The contents of Groups 10001-10005 are the same as those of all POS MV V3 products.
3.3 Output Group Tables
3.3.1 POS Data Groups
Group 1: Vessel Position, Velocity, Attitude & Dynamics
The POS MV group 1 contains data valid for the position defined by the user-entered reference
to vessel lever arms (see Message 121: Vessel Installation Parameter Set-up). POS MV assumes
the vessel and reference frames are co-aligned, therefore the reference to vessel mounting angles
(see Message 20: General Installation and Processing Parameters) should be zero.
Table 4: Group 1: Vessel position, velocity, attitude & dynamics
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 1 N/A
Byte count 2 ushort 132 bytes
Time/Distance Fields 26 See Table 3
Latitude 8 double (-90, 90] degrees
Longitude 8 double (-180, 180] degrees
Altitude 8 double ( , ) meters
North velocity 4 float ( , ) meters/second
East velocity 4 float ( , ) meters/second
Down velocity 4 float ( , ) meters/second
Vessel roll 8 double (-180, 180] degrees
Vessel pitch 8 double (-90, 90] degrees
Vessel heading 8 double [0, 360) degrees
Vessel wander angle 8 double (-180, 180] degrees
11
Item Bytes Format Value Units
Vessel track angle 4 float [0, 360) degrees
Vessel speed 4 float [0, ) meters/second
Vessel angular rate about longitudinal axis 4 float ( , ) degrees/second
Vessel angular rate about transverse axis 4 float ( , ) degrees/second
Vessel angular rate about down axis 4 float ( , ) degrees/second
Vessel longitudinal acceleration 4 float ( , ) meters/second 2
Vessel transverse acceleration 4 float ( , ) meters/second 2
Vessel down acceleration 4 float ( , ) meters/second 2
Alignment status 1 byte See Table 5 N/A
Pad 1 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Table 5: Group 1 alignment status
Group 1
Status
Description
0 Full navigation (User accuracies are met)
1 Fine alignment is active (RMS heading error is less than 15 degrees)
2 GC CHI 2 (alignment with GPS, RMS heading error is greater than 15 degrees)
3 PC CHI 2 (alignment without GPS, RMS heading error is greater than 15 degrees)
4 GC CHI 1 (alignment with GPS, RMS heading error is greater than 45 degrees)
5 PC CHI 1 (alignment without GPS, RMS heading error is greater than 45 degrees)
6 Coarse leveling is active
12
Group 1
Status
Description
7 Initial solution assigned
8 No valid solution
Group 2: Vessel Navigation Performance Metrics
This group contains vessel position, velocity and attitude performance metrics. The data in this
group is valid for the position defined by the user-entered reference vessel lever arms.
All data items in this group are given in RMS values.
Table 6: Group 2: Vessel navigation performance metrics
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 2 N/A
Byte count 2 ushort 80 bytes
Time/Distance Fields 26 See Table 3
North position RMS error 4 float [0, ) meters
East position RMS error 4 float [0, ) meters
Down position RMS error 4 float [0, ) meters
North velocity RMS error 4 float [0, ) meters/second
East velocity RMS error 4 float [0, ) meters/second
Down velocity RMS error 4 float [0, ) meters/second
Roll RMS error 4 float [0, ) degrees
Pitch RMS error 4 float [0, ) degrees
Heading RMS error 4 float [0, ) degrees
Error ellipsoid semi-major 4 float [0, ) meters
Error ellipsoid semi-minor 4 float [0, ) meters
Error ellipsoid orientation 4 float (0, 360] degrees
Pad 2 byte 0 N/A
13
Item Bytes Format Value Units
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 3: Primary GPS Status
This group contains status data from the primary GPS receiver. The group length is variable,
depending on the number of primary GPS receiver channels that report data. This group assumes
that the primary GPS receiver contains up to 12 channels and therefore provides up to 12 channel
status fields. Each channel status field has the format given in Table 8. The GPS receiver type
field identifies the primary GPS receiver in POS MV from among the GPS receiver types listed
in Table 11 that POS MV supports. The GPS status field comprises a 4 _byte array of status bits
whose format depends on the GPS receiver type.
Table 7: Group 3: Primary GPS status
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 3 N/A
Byte count 2 ushort 76 + 20 x (number of channels) bytes
Time/Distance Fields 26 See Table 3
Navigation solution status 1 byte See Table 9 N/A
Number of SV tracked 1 byte [0, 12] N/A
Channel status byte count 2 ushort [0, 240] bytes
Channel status variable See Table 8
HDOP 4 float ( , ) N/A
VDOP 4 float ( , ) N/A
DGPS correction latency 4 float [0, 999.9] seconds
DGPS reference ID 2 ushort [0, 1023] N/A
GPS/UTC week number 4 ulong [0, 1023]
0 if not available
week
GPS/UTC time offset 8 double ( , ) seconds
14
Item Bytes Format Value Units
GPS navigation message latency 4 float Number of seconds from the
PPS pulse to the start of the
GPS navigation data output
seconds
Geoidal separation 4 float ( , ) meters
GPS receiver type 2 ushort See Table 11 N/A
GPS status 4 ulong GPS summary status fields which depend on GPS receiver type.
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Table 8: GPS receiver channel status data
Item Bytes Format Value Units
SV PRN 2 ushort [1, 40] N/A
Channel tracking status 2 ushort See Table 10 N/A
SV azimuth 4 float [0, 360) degrees
SV elevation 4 float [0, 90] degrees
SV L1 SNR 4 float [0, ) dB
SV L2 SNR 4 float [0, ) dB
Table 9: GPS navigation solution status
Status Value Description Expected Accuracy
-1 Unknown N/A
0 No data from Receiver N/A
1 Horizontal C/A mode (unconstrained vertical
position)
75 meters
2 3-dimension C/A mode 75 meters
3 Horizontal DGPS mode (unconstrained vertical
position)
1 meter
4 3-dimension DGPS mode 1 meter
15
Status Value Description Expected Accuracy
5 Float RTK mode 0.25 meters
6 Integer wide lane RTK mode 0.2 meters
7 Integer narrow lane RTK mode 0.02 meters
8 P-Code mode 10 meters
Table 10: GPS channel status
Channel
Status
Description
0 L1 Idle
1 Reserved
2 L1 acquisition
3 L1 Code lock
4 Reserved
5 L1 Phase lock (full performance tracking for L1-only receiver)
6 L2 Idle
7 Reserved
8 L2 acquisition
9 L2 Code lock
10 Reserved
11 L2 phase lock (full performance for L1/L2 receiver)
Table 11: GPS receiver type
GPS type Description
0 No receiver
1 to 7 Reserved
8 Trimble BD112
9 Trimble BD750
10 Reserved
11 Trimble Force 5 GRAM-S
12 Trimble BD132
13 Trimble BD950
14 to 15 Reserved
16 Trimble BD960
17 Trimble BD982
16
GPS type Description
14 and up Reserved
Table 12: Trimble BD950 GPS receiver status
Item Bytes Format Failure
Status of Receiver 4 chars Description Value
SETT Setting time
GETD Updating Health
CAL1 Calibrating
MEAS Static Survey
KINE Kinematic Survey
Group 4: Time-tagged IMU Data
This group consists of the time-tagged IMU data that is suitable for import by POSPAC,
Applanix' post-processing software package. U.S. and Canadian export control laws prohibit
publication of the IMU data format.
Table 13: Group 4: Time-tagged IMU data
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 4 N/A
Byte count 2 ushort 60 bytes
Time/Distance Fields 26 See Table 3
IMU Data 29 byte
Pad 1 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
17
Group 5: Event 1
The time and distance fields in this group indicate the time and distance of Event 1 discrete
signals that the POS MV receives. A client can use this message to attach GPS/UTC time to
external events.
Group 6: Event 2
The time and distance fields in this group indicate the time and distance of Event 2 discrete
signals that the POS MV receives. A client can use this message to attach GPS/UTC time to
external events.
Table 14: Group 5/6: Event 1/2
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 5 or 6 N/A
Byte count 2 ushort 36 bytes
Time/Distance Fields 26 See Table 3
Event pulse number 4 ulong [0, ) N/A
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 7: PPS Time Recovery and Status
The time and distance fields in this group indicate the time and distance of the PPS from the
primary GPS receiver. The PPS count is the number of PPS messages since power-up and
initialization of the GPS receivers. The time synchronization status field indicates the status of
POS MV synchronization to the PPS time provided by the primary GPS receiver as follows:
No synchronization indicates that the POS MV has not synchronized to GPS time. This is the
case if the GPS receiver has not initialized and provided time recovery data to the POS MV.
Synchronizing indicates that the POS MV is in the process of synchronizing to GPS time. This
lasts on the order of 10-20 seconds as the POS MV establishes its internal clock offset and drift
parameters.
Fully synchronized indicates that the POS MV has established synchronization to GPS time
with less than 10 microseconds error and is maintaining the synchronization once per second.
18
Using old offset indicates that the POS MV is using the last good clock offset to compute GPS
times. The POS MV has either not received a PPS or time recovery message or has rejected
erroneous GPS time synchronization data.
This data provides for PPS time recovery of any of the time bases supported by the POS MV. It
allows an external device to acquire GPS or UTC time, or to relate GPS time to POS MV time.
Table 15: Group 7: PPS Time Recovery and Status
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 7 N/A
Byte count 2 ushort 36 bytes
Time/Distance Fields 26 See Table 3
PPS count 4 ulong [0, ) N/A
Time synchronization status 1 byte 0 Not synchronized
1 Synchronizing
2 Fully synchronized
3 Using old offset
Pad 1 byte 0 N/A
Checksum 2 ushort N/A N/A
Group End 2 char $# N/A
Group 8: Reserved
Group 9: GAMS Solution
This group contains the GAMS solution and solution status. The following are descriptions of
some of the group elements.
The number of satellites field gives the number of satellites in the GAMS solution. The PDOP is
the PDOP of the satellite constellation selected by GAMS. The computed antenna separation is
the length of the baseline vector that GAMS computes. The solution status describes the status of
the current GAMS solution. The PRN assignment fields give the satellite PRN assigned to each
observables processing channel. The cycle slip flag identifies processing channels in which the
ambiguity search algorithm has detected cycle slips.
19
The GAMS heading is the heading of the antenna baseline vector. The heading RMS error is
estimated by GAMS based on the RMS uncertainties of the primary and secondary carrier phase
measurements reported by the primary and secondary GPS receivers.
Table 16: Group 9: GAMS Solution Status
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 9 N/A
Byte count 2 ushort 72 bytes
Time/Distance Fields 26 See Table 3
Number of satellites 1 ubyte N/A N/A
A priori PDOP 4 float [0, 999] N/A
Computed antenna separation 4 float [0, ) meters
Solution Status 1 byte 0 fixed integer
1 fixed integer test install data
2 degraded fixed integer
3 _floated ambiguity
4 degraded floated ambiguity
5 solution without install data
6 solution from navigator attitude and install data
7 no solution
PRN assignment 12 byte Each byte contains 0-32 where
0 = unassigned PRN
1-40 = PRN assigned to channel
Cycle slip flag 2 ushort Bits 0-11: (k-1) th bit set to 1 implies cycle slip
in channel k.
Example: Bit 3 set to 1 implies cycle slip in
channel 4.
Bits 12-15: not used.
20
Item Bytes Format Value Units
GAMS heading 8 double [0,360) Degrees
GAMS heading RMS error 8 double (0, ) Degrees
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 10: General Status and FDIR
This group is used to output general and Fault Detection, Isolation and Reconfiguration (FDIR)
status information. The POS Controller decodes and displays the sensor hardware status output
in this group. The following is a brief description of group contents.
General Status A contains bit-encoded status information from the following processes:
integrated navigation, data logging and generic hardware.
General Status B contains bit-encoded status information from the following processes: primary
GPS data input, secondary GPS data input, auxiliary GPS data input, GAMS.
General Status C contains bit-encoded information from the following processes: integrated
navigation, gimbal data input, DMI data input, base GPS messages (RTCM, CMR, RTCA) input.
FDIR Level 1, similar to a built-in test, reports problems in communications between the sensors
and the PCS.
FDIR Level 2, the direct reasonableness test, compares the sensor data against reasonable
magnitude limits for the POS-instrumented Vessel.
FDIR Level 3, the direct comparison test, compares IMU data against aiding sensor data and
identifies unreasonable differences when they occur.
FDIR Level 4, the residual test, monitors the measurement residuals from the Kalman filter and
rejects measurements that fall outside a specified 95% confidence level. Consistent measurement
rejection indicates a potential IMU or aiding sensor failure.
FDIR Level 5, the indirect reasonableness test, monitors Kalman filter estimates of inertial
sensor errors and installation errors. Soft sensor failures appear as slow increases in these errors.
If a threshold is exceeded, a sensor failure is flagged.
21
Table 17: Group 10: General and FDIR status
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 10 N/A
Byte count 2 ushort 56 Bytes
Time/Distance Fields 26 See Table 3
General Status A 4 ulong Coarse levelling active bit 0: set
Coarse levelling failed bit 1: set
Quadrant resolved bit 2: set
Fine align active bit 3: set
Inertial navigator initialised bit 4: set
Inertial navigator alignment active bit 5: set
Degraded navigation solution bit 6: set
Full navigation solution bit 7: set
Initial position valid bit 8: set
Reference to Primary GPS Lever arms = 0 bit 9: set
Reference to Sensor 1 Lever arms = 0 bit 10: set
Reference to Sensor 2 Lever arms = 0 bit 11: set
Logging Port file write error bit 12: set
Logging Port file open bit 13: set
Logging Port logging enabled bit 14: set
Logging Port device full bit 15: set
RAM configuration differs from NVM bit 16: set
NVM write successful bit 17: set
NVM write fail bit 18: set
NVM read fail bit 19: set
CPU loading exceeds 55% threshold bit 20: set
CPU loading exceeds 85% threshold bit 21: set
Spare bits: 22-31
22
Item Bytes Format Value Units
General Status B 4 ulong User attitude RMS performance bit 0: set
User heading RMS performance bit 1: set
User position RMS performance bit 2: set
User velocity RMS performance bit 3: set
GAMS calibration in progress bit 4: set
GAMS calibration complete bit 5: set
GAMS calibration failed bit 6: set
GAMS calibration requested bit 7: set
GAMS installation parameters valid bit 8: set
GAMS solution in use bit 9: set
GAMS solution OK bit 10: set
GAMS calibration suspended bit 11: set
GAMS calibration forced bit 12: set
Primary GPS navigation solution in use bit 13: set
Primary GPS initialisation failed bit 14: set
Primary GPS reset command sent bit 15: set
Primary GPS configuration file sent bit 16: set
Primary GPS not configured bit 17: set
Primary GPS in C/A mode bit 18: set
Primary GPS in Differential mode bit 19: set
Primary GPS in float RTK mode bit 20: set
Primary GPS in wide lane RTK mode bit 21: set
Primary GPS in narrow lane RTK mode bit 22: set
Primary GPS observables in use bit 23: set
Secondary GPS observables in use bit 24: set
Auxiliary GPS navigation solution in use bit 25: set
Auxiliary GPS in P-code mode bit 26: set
Auxiliary GPS in Differential mode bit 27: set
23
Item Bytes Format Value Units
Auxiliary GPS in float RTK mode bit 28: set
Auxiliary GPS in wide lane RTK mode bit 29: set
Auxiliary GPS in narrow lane RTK mode bit 30: set
Primary GPS in P-code mode bit 31: set
General Status C 4 ulong Gimbal input ON bit 0: set
Gimbal data in use bit 1: set
DMI data in use bit 2: set
ZUPD processing enabled bit 3: set
ZUPD in use bit 4: set
Position fix in use bit 5: set
RTCM differential corrections in use bit 6: set
RTCM RTK messages in use bit 7: set
RTCA RTK messages in use bit 8: set
CMR RTK messages in use bit 9: set
IIN in DR mode bit 10: set
IIN GPS aiding is loosely coupled bit 11: set
IIN in C/A GPS aided mode bit 12: set
IIN in RTCM DGPS aided mode bit 13: set
IIN in code DGPS aided mode bit 14: set
IIN in float RTK aided mode bit 15 set
IIN in wide lane RTK aided mode bit 16: set
IIN in narrow lane RTK aided mode bit 17: set
Received RTCM Type 1 message bit 18: set
Received RTCM Type 3 message bit 19: set
Received RTCM Type 9 message bit 20: set
Received RTCM Type 18 messages bit 21: set
Received RTCM Type 19 messages bit 22: set
Received CMR Type 0 message bit 23: set
24
Item Bytes Format Value Units
Received CMR Type 1 message bit 24: set
Received CMR Type 2 message bit 25: set
Received CMR Type 94 message bit 26 set
Received RTCA SCAT-1 message bit 27: set
Spare bit: 28-31
FDIR Level 1 status 4 ulong IMU-POS checksum error bit 0: set
IMU status bit set by IMU bit 1: set
Successive IMU failures bit 2: set
IIN configuration mismatch failure bit 3: set
Primary GPS not in Navigation mode bit 5: set
Primary GPS not available for alignment bit 6: set
Primary data gap bit 7: set
Primary GPS PPS time gap bit 8: set
Primary GPS time recovery data not received bit 9: set
Primary GPS observable data gap bit 10: set
Primary ephemeris data gap bit 11: set
Primary GPS excessive lock-time resets bit 12: set
Primary GPS missing ephemeris bit 13: set
Primary GPS SNR failure bit 16: set
Base GPS data gap bit 17: set
Base GPS parity error bit 18: set
Base GPS message rejected bit 19: set
Secondary GPS data gap bit 20: set
Secondary GPS observable data gap bit 21: set
Secondary GPS SNR failure bit 22: set
Secondary GPS excessive lock-time resets bit 23: set
Auxiliary GPS data gap bit 25: set
GAMS ambiguity resolution failed bit 26: set
25
Item Bytes Format Value Units
Gimbal data gap bit 27: set
DMI failed or is offline bit 28: set
IIN WL ambiguity error bit 30: set
IIN NL ambiguity error bit 31: set
Spare bits: 4, 14,
15, 24, 29
FDIR Level 1 IMU failures 2 ushort Shows number of FDIR Level 1 Status IMU failures
(bits 0 or 1) = Bad IMU Frames
FDIR Level 2 status 2 ushort Inertial speed exceeds max bit 0: set
Primary GPS velocity exceeds max bit 1: set
Primary GPS position error exceeds max bit 2: set
Auxiliary GPS position error exceeds max bit 3: set
DMI speed exceeds max bit 4: set
Spare bits: 5-15
FDIR Level 3 status 2 ushort Spare bits: 0-15
FDIR Level 4 status 2 ushort Primary GPS position rejected bit 0: set
Primary GPS velocity rejected bit 1: set
GAMS heading rejected bit 2: set
Auxiliary GPS data rejected bit 3: set
DMI data rejected bit 4: set
Primary GPS observables rejected bit 5: set
Spare bits: 6-15
FDIR Level 5 status 2 ushort X accelerometer failure bit 0: set
Y accelerometer failure bit 1: set
Z accelerometer failure bit 2: set
X gyro failure bit 3: set
Y gyro failure bit 4: set
Z gyro failure bit 5: set
Excessive GAMS heading offset bit 6: set
26
Item Bytes Format Value Units
Excessive primary GPS lever arm error bit 7: set
Excessive auxiliary 1 GPS lever arm error bit 8: set
Excessive auxiliary 2 GPS lever arm error bit 9: set
Excessive POS position error RMS bit10:set
Excessive primary GPS clock drift bit11:set
Spare bits: 12-15
Pad 0 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
max = maximum
Group 11: Secondary GPS Status
This group contains status data from the secondary GPS receiver. The group length is variable,
depending on the number of secondary GPS receiver channels that report data. This group
assumes that the secondary GPS receiver contains up to 12 channels and therefore provides 12
channel status fields. Each channel status field has the format given in Table 8. The GPS
navigation message latency field contains the time between the PPS pulse and the start of the
GPS navigation data output
Table 18: Group 11: Secondary GPS status
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 11 N/A
Byte count 2 ushort 76 + 20 x (number of
channels)
Bytes
Time/Distance Fields 26 See Table 3
Navigation solution status 1 byte See Table 9 N/A
Number of SV tracked 1 byte [0, 12] N/A
Channel status byte count 2 ushort [0, 240] Bytes
Channel status variable See Table 8
27
Item Bytes Format Value Units
HDOP 4 float (0, ) N/A
VDOP 4 float (0, ) N/A
DGPS correction latency 4 float [0, 99.9] Seconds
DGPS reference ID 2 ushort [0, 1023] N/A
GPS/UTC week number 4 ulong [0, 1023] 0 if not available Week
GPS/UTC time offset 8 double ( , 0] (GPS time - UTC time) Seconds
GPS navigation message latency 4 float [0, ) Seconds
Geoidal separation 4 float ( , ) Meters
GPS receiver type 2 ushort See Table 11 N/A
GPS status 4 ulong GPS summary status fields which depend
on GPS receiver type.
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 12: Auxiliary 1 GPS Status
This group contains data from an optional auxiliary 1 external GPS receiver. The group is
variable in length because it is dependent upon the number of satellites that the auxiliary 1 GPS
receiver is tracking. This group assumes that the auxiliary 1 GPS receiver contains up to 12
channels and therefore provides 12 channel status fields. The centre section of this group grows
with increasing number of satellites tracked.
Group 13: Auxiliary 2 GPS Status
This group contains data from an optional auxiliary 2 external GPS receiver. The group has the
same format as Group 12. Table 19 specifies the format for both Groups 12 and 13
28
Table 19: Group 12/13: Auxiliary 1/2 GPS status
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 12 or 13 N/A
Byte count 2 ushort 72 + 20 x (number of
channels)
Bytes
Time/Distance Fields 26 See Table 3
Navigation solution status 1 byte See Table 9 N/A
Number of SV Tracked 1 byte [0, 40] N/A
Channel status byte count 2 ushort [0, ) Bytes
Channel status variable See Table 8
HDOP 4 float (0, ) N/A
VDOP 4 float (0, ) N/A
DGPS correction latency 4 float (0, ) Seconds
DGPS reference ID 2 ushort [0, 1023] N/A
GPS/UTC week number 4 ulong [0, 1023]
0 if not available
Week
GPS time offset 8 double ( , 0] Seconds (GPS time - UTC time)
GPS navigation message latency 4 float [0, ) Seconds
Geoidal separation 4 float N/A Meters
NMEA messages Received 2 ushort Bit (set) NMEA Message
0 GGA (GPS position)
1 GST (noise statistics)
2 GSV (satellites in view)
3 GSA (DOP & active SVs)
4-15 Reserved
29
Item Bytes Format Value Units
Aux 1/2 in Use 1 1 byte 0 Not in use
1 In use
N/A
Pad 1 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
1 Group 12/13 Aux in Use fields will not be set in use simultaneously.
Group 14: Calibrated Installation Parameters
This group lists the calibrated installation parameters that the POS MV computes during
Navigate mode when the Calibrate function is active. The group includes a Figure of Merit
(FOM) for each set of parameters that the user can choose to calibrate. The FOM ranges from
0 to 100 and describes the percentage of a complete calibration that a calibration has achieved. A
FOM equal to 0 indicates one of two possibilities:
#
A parameter is not being calibrated because the user did not flag the parameter for
calibration in Message 57: Installation calibration control (see Section 0).
#
A parameter is not calibrated during a calibration of the parameter because the Vessel has
not executed the required dynamics to effect the calibration.
Table 20: Group 14: Calibrated installation parameters
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 14 N/A
Byte count 2 ushort 116 Bytes
Time/Distance Fields 26 See Table 3
Calibration status 2 ushort See Table 21 for bitfield
Reference to Primary GPS X lever arm 4 float ( , ) Meters
Reference to Primary GPS Y lever arm 4 float ( , ) Meters
Reference to Primary GPS Z lever arm 4 float ( , ) Meters
Reference to Primary GPS lever arm calibration FOM 2 ushort [0, 100] N/A
Reference to Auxiliary 1 GPS X lever arm 4 float ( , ) Meters
30
Item Bytes Format Value Units
Reference to Auxiliary 1 GPS Y lever arm 4 float ( , ) Meters
Reference to Auxiliary 1 GPS Z lever arm 4 float ( , ) Meters
Reference to Auxiliary 1 GPS lever arm calibration FOM 2 ushort [0, 100] N/A
Reference to Auxiliary 2 GPS X lever arm 4 float ( , ) Meters
Reference to Auxiliary 2 GPS Y lever arm 4 float ( , ) Meters
Reference to Auxiliary 2 GPS Z lever arm 4 float ( , ) Meters
Reference to Auxiliary 2 GPS lever arm calibration FOM 2 ushort [0, 100] N/A
Reference to DMI X lever arm 4 float ( , ) Meters
Reference to DMI Y lever arm 4 float ( , ) Meters
Reference to DMI Z lever arm 4 float ( , ) Meters
Reference to DMI lever arm calibration FOM 2 ushort [0, 100] N/A
DMI scale factor 4 float ( , ) %
DMI scale factor calibration FOM 2 ushort [0, 100] N/A
Reference to DVS X lever arm 4 float ( , ) Meters
Reference to DVS Y lever arm 4 float ( , ) Meters
Reference to DVS Z lever arm 4 float ( , ) meters
Reference to DVS lever arm calibration
FOM
2 ushort [0, 100] N/A
DVS scale factor 4 float ( , ) %
DVS scale factor calibration FOM 2 ushort [0, 100] N/A
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
31
Table 21: IIN Calibration Status
Bit Set Status Description
0 Reference to Primary GPS lever arm calibration is in progress
1 Reference to Auxiliary 1 GPS lever arm calibration is in progress
2 Reference to Auxiliary 2 GPS lever arm calibration is in progress
3 Reference to DMI lever arm calibration is in progress
4 DMI scale factor calibration is in progress
5 Reference to DVS lever arm calibration is in progress
6 Reference to Position Fix lever arm calibration is in progress
7 Reserved
8 Reference to Primary GPS lever arm calibration is completed
9 Reference to Auxiliary 1 GPS lever arm calibration is completed
10 Reference to Auxiliary 2 GPS lever arm calibration is completed
11 Reference to DMI lever arm calibration is completed
12 DMI scale factor calibration is completed
13 Reference to DVS lever arm calibration is completed
14 Reference to Position Fix lever arm calibration is completed
15 Reserved
Group 15: Reserved
Group 16: Reserved
Group 17: User Time Status
This group contains status information about user time synchronization.
Table 22: Group 17: User Time Status
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 17 N/A
32
Item Bytes Format Value Units
Byte count 2 ushort 40 Bytes
Time/Distance Fields 26 See Table 3
Number of Time Synch message rejections 4 ulong [0, ) N/A
Number of User Time resynchronizations 4 ulong [0, ) N/A
User time valid 1 byte 1 or 0 N/A
Time Synch message received 1 byte 1 or 0 N/A
Pad 0 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 20: IIN Solution Status
This group contains the IIN observables processing status and relevant data. The following are
descriptions of some of the fields.
The number of satellites field gives the number of satellites in the IIN solution. The a priori
PDOP is the PDOP of the satellite constellation selected by IIN before processing. The baseline
length is the computed distance between the primary GPS antenna and the reference GPS
antenna. The IIN processing status describes the status of the current IIN solution. The 12 PRN
assignment fields give the satellite PRN used in each observables processing channel in the IIN
solution. The L1 cycle slip flag field contains a bit array whose bits when set, indicate an L1
cycle slips in the observables processing channels. The L2 cycle slip flag field contains a bit
array whose bits when set, indicate L2 cycle slips in observables processing channels. In each bit
array, bit (k-1) indicates the cycle slip status of processing channel k.
Table 23: Group 20: IIN solution status
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 20 N/A
Byte count 2 ushort 60 Bytes
Time/Distance Fields 26 See Table 3
Number of satellites 2 ushort [0, 12] N/A
A priori PDOP 4 float [0, 999] N/A
33
Item Bytes Format Value Units
Baseline length 4 float [0, ) Meters
IIN processing status 2 ushort 1 Fixed Narrow Lane RTK
2 Fixed Wide Lane RTK
3 Float RTK
4 Code DGPS
5 RTCM DGPS
6 Autonomous (C/A)
7 GPS navigation solution
8 No solution
PRN assignment 12 12 byte Each byte contains 0-40 where
0 = unassigned PRN
1-40 = PRN assigned to channel
L1 cycle slip flag 2 ushort Bits 0-11: (k-1) th bit set to 1 implies L1 cycle
slip in channel k PRN. Example:
Bit 3 set to 1 implies an L1 cycle
slip in channel 4.
Bits 12-15: not used.
L2 cycle slip flag 2 ushort Bits 0-11: (k-1) th bit set to 1 implies L2 cycle
slip in channel k PRN. Example:
Bit 3 set to 1 implies an L2 cycle
slip in channel 4.
Bits 12-15: not used.
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 21: Base GPS 1 Modem Status
The base GPS process may receive differential corrections from a base station via a modem
connected to one of the POS MV serial ports. This group contains status information about the
modem connected to the serial port associated with the Base GPS 1 input.
34
Group 22: Base GPS 2 Modem Status
This group contains status information about the modem connected to the serial port associated
with the Base GPS 2 input.
Table 24: Group 21/22: Base GPS 1/2 Modem Status
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 21 or 22 N/A
Byte count 2 ushort 116 Bytes
Time/Distance Fields 26 See Table 3
Modem response 16 char N/A N/A
Connection status 48 char N/A N/A
Number of redials per disconnect 4 ulong [0, ) N/A
Maximum number of redials per disconnect 4 ulong [0, ) N/A
Number of disconnects 4 ulong [0, ) N/A
Data gap length 4 ulong [0, ) N/A
Maximum data gap length 4 ulong [0, ) N/A
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 23: Auxiliary 1 GPS Display Data
This group contains the auxiliary 1 GPS receiver data stream, containing the NMEA strings
requested by the PCS from the receiver plus any other bytes that the receiver inserts into the
stream. The length of this group is variable. It is identical to group 10007 except for the time2
restriction and the fact it is intended for display only.
Group 24: Auxiliary 2 GPS Display Data
This group contains the auxiliary 2 GPS receiver data stream, containing the NMEA strings
requested by the PCS from the receiver plus any other bytes that the receiver inserts into the
stream. The length of this group is variable. It is identical to group 10008 except for the time2
restriction and the fact it is intended for display only.
35
Table 25: Group 23/24: Auxiliary 1/2 GPS raw display data
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 10007 or 10008 N/A
Byte count 2 ushort variable Bytes
Time/Distance Fields 26 See Table 3
Reserved 6 byte N/A N/A
Variable message byte count 2 ushort [0, ) Bytes
Auxiliary GPS raw data variable char N/A N/A
Pad 0-3 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 25: Reserved
Group 26: Reserved
Group 99: Versions and Statistics
This group provides feedback of the current statistics and software and hardware version
numbers of the POS MV. This group contains operational statistics such as total hours of
operation, number of runs, average run length and longest run.
Table 26: Group 99: Versions and statistics
Item Bytes Format Value Units
Group Start 4 char $GRP N/A
Group ID 2 ushort 99 N/A
Byte Count 2 ushort 332 Bytes
Time/Distance Fields 26 See Table 3
Table 3
System version 120 char Product - Model, Version,
Serial Number,
Hardware version,
36
Item Bytes Format Value Units
Software release version - Date,
ICD release version,
Operating system version,
IMU type,
Primary GPS type (Table 11),
Secondary GPS type (Table 11),
DMI type,
Gimbal type
[,Option mnemonic-expiry time]
[,Option mnemonic-expiry time]
.....
Example:
MV-320,VER4,S/N123,HW1.80-7,
SW03.20-Aug3/05,ICD01.00,
OS425B,IMU2,PGPS13,SGPS13,
DMI0,GIM0,RTK-75
N/A
Primary GPS version 80 char Available information is displayed, eg:
Model number
Serial number
Hardware configuration version
Software release version
Release date
Secondary GPS version 80 char Available information is displayed, eg:
Model number
Serial number
Hardware configuration version
Software release version
37
Item Bytes Format Value Units
Release date
Total hours 4 float [0, ) 0.1 hour resolution Hours
Number of runs 4 ulong [0, ) N/A
Average length of run 4 float [0, ) 0.1 hour resolution Hours
Longest run 4 float [0, ) 0.1 hour resolution Hours
Current run 4 float [0, ) 0.1 hour resolution Hours
Pad 2 short 0 N/A
Checksum 2 ushort N/A N/A
Group End 2 char $# N/A
Group 102: Sensor 1 Position, Velocity, Attitude, Heave & Dynamics
This group contains position, velocity, attitude, track, speed and dynamics data for the sensor 1
position.
Group 103: Sensor 2 Position, Velocity, Attitude, Heave & Dynamics
This group contains position, velocity, attitude, track, speed and dynamics data for the sensor 2
position.
Table 27: Group 102/103: Sensor 1/2 Position, Velocity, Attitude, Heave & Dynamics
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 102 or 103 N/A
Byte count 2 ushort 128 Bytes
Time/Distance Fields 26 See Table 3
Latitude 8 double (-90, 90] Deg
Longitude 8 double (-180, 180] Deg
Altitude 8 double ( , ) M
Along track velocity 4 float ( , ) m/s
Across track velocity 4 float ( , ) m/s
38
Item Bytes Format Value Units
Down velocity 4 float ( , ) m/s
Roll 8 double (-180, 180] Deg
Pitch 8 double (-90, 90] Deg
Heading 8 double [0, 360) Deg
Wander angle 8 double (-180, 180] Deg
Heave 1 4 float ( , ) M
Angular rate about longitudinal axis 4 float ( , ) deg/s
Angular rate about transverse axis 4 float ( , ) deg/s
Angular rate about down axis 4 float ( , ) deg/s
Longitudinal acceleration 4 float ( , ) m/s 2
Transverse acceleration 4 float ( , ) m/s 2
Down acceleration 4 float ( , ) m/s 2
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
1 Heave is output in the gravity direction from a local level frame located at the sensor 1 or 2 position. The Heave
sign is positive down.
Group 104: Sensor 1 Position, Velocity, and Attitude Performance Metrics
This group contains sensor 1 position, velocity and attitude performance metrics. All data in this
group are RMS values.
Group 105: Sensor 2 Position, Velocity, and Attitude Performance Metrics
This group contains sensor 2 position, velocity and attitude performance metrics. All data in this
group are RMS values.
39
Table 28: Group 104/105: Sensor 1/2 Position, Velocity, and Attitude Performance Metrics
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 104 or 105 N/A
Byte count 2 ushort 68 Bytes
Time/Distance Fields 26 See Table 3
N position RMS 4 float [0, ) M
E position RMS 4 float [0, ) M
D position RMS 4 float [0, ) M
Along track velocity RMS error 4 float [0, ) m/s
Across track velocity RMS error 4 float [0, ) m/s
Down velocity RMS error 4 float [0, ) m/s
Roll RMS error 4 float [0, ) Deg
Pitch RMS error 4 float [0, ) Deg
Heading RMS error 4 float [0, ) Deg
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 110: MV General Status & FDIR
This group contains MV specific status bits. It is an extension of the Core group 10 information.
Table 29: Group 110: MV General Status & FDIR
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 110 N/A
Byte count 2 ushort 32 Bytes
40
Item Bytes Format Value Units
Time/Distance Fields 26 See Table 3
General Status 4 ulong User logged in bit 0: set -- doc error; said 2 byte ulong, but need 32 bits (4 byte ulong)
reserved bit 1 to 9
TrueZ Active bit 10: set
TrueZ Ready bit 11: set
TrueZ In Use bit 12: set
Reserved bit 13 to 31
Pad 2 byte 0 -- doc error, with general status as 4 then pad needs to be 2
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 111: Heave & True Heave Data
This group contains data from the True Heave calculations (delayed in time), along with time-
matched Heave (Real-time) data. Both the Real-Time and True Heave values are in the gravity
direction from a local level frame located at the Sensor 1 position. The Heave sign is positive
down.
Table 30: Group 111: Heave & True Heave Data
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 111 N/A
Byte count 2 ushort 76 Bytes
Time/Distance Fields 26 See Table 3
True Heave 4 float ( , ) M
True Heave RMS 4 float [0, ) M
Status 4 ulong True Heave Valid bit 0: set
Real-time Heave Valid bit 1: set
reserved bit 2 to 31
Heave 4 float ( , ) M
Heave RMS 4 float [0, ) M
41
Item Bytes Format Value Units
Heave Time 1 8 double N/A Sec
Heave Time 2 8 double N/A Sec
Rejected IMU Data Count 4 ulong [0, ) N/A
Out of Range IMU Data Count 4 ulong [0, ) N/A
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 112: NMEA Strings
This group contains a copy of the NMEA strings output from the user selected COM port. This
group will be available for output at the same rate selected for NMEA output on the COM port.
Note that the user must select this group for output on the desired Data in order to receive the
data.
Table 31: Group 112: NMEA Strings
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 112 N/A
Byte count 2 ushort variable Bytes
Time/Distance Fields 26 See Table 3
Variable group byte count 2 ushort [0, ) N/A- error in docs list this as 2 byte float, guessing it should be a ushort
NMEA strings variable char N/A N/A
Pad 0-3 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 113: Heave & True Heave Performance Metrics
This group contains quality data from the True Heave calculations.
42
Table 32: Group 113: Heave & True Heave Performance Metrics
Item Byte
s
Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 113 N/A
Byte count 2 ushort 68 Bytes
Time/Distance Fields 26 See Table 3
Heave Time 1 8 double N/A Sec
Quality Control 1 8 double N/A N/A
Quality Control 2 8 double N/A N/A
Quality Control 3 8 double N/A N/A
Status 4 ulong Quality Control 1 Valid bit 0: set
Quality Control 2 Valid bit 1: set
Quality Control 3 Valid bit 2: set
Reserved bit 3 to 31
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 114: TrueZ & TrueTide Data
This group contains altitude data from the delayed TrueZ and delayed TrueTide calculations
along with the time-matched real-time data. The real-time TrueZ, delayed TrueZ and delayed
TrueTide values are in the gravity direction from a local level frame located at the Sensor 1
position. The real-time TrueTide values are in the gravity direction from a local level frame
located at the Vessel position.
43
Table 33: Group 114: TrueZ & TrueTide Data
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 114 N/A
Byte count 2 ushort 76 Bytes
Time/Distance Fields 26 See Table 3
Delayed TrueZ 4 float ( , ) M
Delayed TrueZ RMS 4 float [0, ) M
Delayed TrueTide 4 float ( , ) M
Status 4 ulong Delayed TrueZ Valid bit 0: set
Real-time TrueZ Valid bit 1: set
Reserved bit 2 to 31
TrueZ 4 float ( , ) M
TrueZ RMS 4 float [0, ) M
TrueTide 4 float ( , ) M
TrueZ Time 1 8 double N/A Sec
TrueZ Time 2 8 double N/A Sec
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
3.3.2 Raw Data Groups
Group 10001: Primary GPS Data Stream
This group contains the primary GPS receiver data as output by the receiver. The length of this
group is variable. The GPS data stream is packaged into the group as it is received, irrespective
of GPS message boundaries. The messages contained in this group depends on the primary GPS
receiver that the POS MV uses. If a data extraction process concatenates the data components
from these groups into a single file, then the resulting file will be the same as a file of data
recorded directly from the primary GPS receiver.
44
Table 34: Group 10001: Primary GPS data stream
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 10001 N/A
Byte count 2 ushort variable Bytes
Time/Distance Fields 26 See Table 3
GPS receiver type 2 ushort See Table 11 N/A
Reserved 4 long N/A N/A
Variable message byte count 2 ushort [0, ) Bytes
GPS Receiver raw data variable char N/A N/A
Pad 0-3 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 10002: Raw IMU Data
This group contains the IMU data as output by the IMU directly. The length of this group is
variable.
The IMU header field contains 6 characters of which the first 4 are ``$IMU'' and the last two are
the IMU type number in ASCII format (example: ``$IMU01'' identifies IMU type 1). The Data
checksum is a 16-bit sum of the IMU data. The POS MV provides this checksum in addition to
the possible IMU-generated checksums in the IMU data field. U.S. and Canadian export control
laws prevent the publication of the IMU data field formats for the different IMU's that the
POS MV supports.
Table 35: Group 10002: Raw IMU LN200 data
Item Bytes Forma
t
Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 10002 N/A
Byte count 2 ushort Variable Bytes
Time/Distance Fields 26 See Table 3
IMU header 6 char $IMUnn where nn identifies the IMU
type.
45
Item Bytes Forma
t
Value Units
Variable message byte count 2 ushort [0, ) Bytes
X delta velocity 2 short 2-14 metres/sec/pulse count pulse counts
Yneg delta velocity 2 short 2-14 metres/sec/pulse count pulse counts
Zneg delta velocity 2 short 2-14 metres/sec/pulse count pulse counts
X delta theta 2 short 2-18 radians/pulse count pulse counts
Yneg delta theta 2 short 2-18 radians/pulse count pulse counts
Zneg delta theta 2 short 2-18 radians/pulse count pulse counts
IMU Status Summary 2 short N/A N/A
Mode bit/MUX ID 2 short N/A N/A
MUX data word 2 short N/A N/A
X raw gyro count 2 short 1 pulse/pulse count pulse counts
Y raw gyro count 2 short 1 pulse/pulse count pulse counts
Z raw gyro count 2 short 1 pulse/pulse count pulse counts
IMU Checksum 2 short N/A N/A
Data Checksum 2 short N/A N/A
Pad 0 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 10003: Raw PPS
This group contains the raw PPS data that the POS MV generates. The time of the PPS is given
in the Time/Distance fields.
Table 36: Group 10003: Raw PPS
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 10003 N/A
Byte count 2 ushort 36 Bytes
Time/Distance Fields 26 See Table 3
PPS pulse count 4 Ulong [0, ) N/A
Pad 2 Byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 10004: Raw Event 1
This group contains the raw Event 1 data that the POS MV generates. The time of the event
pulse count is given in the Time/Distance fields.
Group 10005: Raw Event 2
This group contains the raw Event 2 data that the POS MV generates. The time of the event
pulse count is given in the Time/Distance fields.
46
Table 37: Group 10004/10005: Raw Event 1/2
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 10004 or 10005 N/A
Byte count 2 ushort 36 Bytes
Time/Distance Fields 26 See Table 3
Event 1 pulse count 4 ulong [0, ) N/A
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 10006: Reserved
Group 10007: Auxiliary 1 GPS Data Stream
This group contains the auxiliary 1 GPS receiver data stream, containing the NMEA strings
requested by the PCS from the receiver plus any other bytes that the receiver inserts into the
stream. The length of this group is variable. If a data extraction process concatenates the data
components from these groups into a single file, then the resulting file will be the same as an
ASCII file of NMEA strings recorded directly from the auxiliary 1 GPS receiver.
Group 10008: Auxiliary 2 GPS Data Stream
This group contains the auxiliary 2 GPS receiver data stream, containing the NMEA strings
requested by the PCS from the receiver plus any other bytes that the receiver inserts into the
stream. The length of this group is variable. If a data extraction process concatenates the data
components from these groups into a single file, then the resulting file will be the same as an
ASCII file of NMEA strings recorded directly from the auxiliary 2 GPS receiver.
Table 38: Group 10007/10008: Auxiliary 1/2 GPS data streams
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 10007 or 10008 N/A
Byte count 2 ushort variable Bytes
Time/Distance Fields 26 See Table 3
reserved 2 byte N/A N/A
47
Item Bytes Format Value Units
reserved 4 long N/A N/A
Variable message byte count 2 ushort [0, ) Bytes
Auxiliary GPS raw data variable char N/A N/A
Pad 0-3 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 10009: Secondary GPS Data Stream
This group contains the secondary GPS receiver data as output by the receiver. The length of this
group is variable. The GPS data stream is packaged into the group as it is received, irrespective
of GPS message boundaries. The messages contained in this group depends on the secondary
GPS receiver that the POS MV uses. If a data extraction process concatenates the data
components from these groups into a single file, then the resulting file will be the same as a file
of data recorded directly from the secondary GPS receiver.
Table 39: Group 10009: Secondary GPS data stream
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 10009 N/A
Byte count 2 ushort Variable Bytes
Time/Distance Fields 26 See Table 3
GPS receiver type 2 ushort See Table 11 N/A
Reserved 4 byte N/A N/A
Variable message byte count 2 ushort [0, ) Bytes
GPS Receiver Message variable char N/A N/A
Pad 0-3 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
Group 10010: Reserved
48
Group 10011: Base GPS 1 Data Stream
This group contains the message data stream the POS MV receives as differential corrections.
The length of this group is variable and dependent on the messages received by the PCS. If a
data extraction process concatenates the data components from this group into a single file, then
the resulting file will be the same as a file of data captured from the serial data stream connected
to a differential corrections port.
Group 10012: Base GPS 2 Data Stream
This group contains the message data stream the POS MV receives as differential corrections.
The length of this group is variable and dependent on the messages received by the PCS. If a
data extraction process concatenates the data components from this group into a single file, then
the resulting file will be the same as a file of data captured from the serial data stream connected
to a differential corrections port.
Table 40: Group 10011/10012: Base GPS 1/2 data stream
Item Bytes Format Value Units
Group start 4 char $GRP N/A
Group ID 2 ushort 10011 or 10012 N/A
Byte count 2 ushort variable Bytes
Time/Distance Fields 26 See Table 3
reserved 6 byte N/A N/A
Variable message byte count 2 ushort [0, ) Bytes
Base GPS raw data variable byte N/A N/A
Pad 0-3 byte 0 N/A
Checksum 2 ushort N/A N/A
Group end 2 char $# N/A
49
4 Message Input and Output
4.1 Introduction
The POS MV uses the Control Port to receive control messages from the POS Controller, (a
user's custom software application or MV POSView), and to acknowledge successful receipt of
the messages. The Control Port is bi-directional and uses the TCP/IP protocol to communicate
with the control and display software.
Each message sent to POS MV causes an action to be initiated. When POS MV receives and
validates a message, it replies to the POS Controller by sending an `Acknowledge' message,
Message ID 0, on the Control Port over which it received the message. The Acknowledge
message protocol is defined below. The purpose of the Acknowledge message is to inform the
POS Controller that the POS MV has received a message and has either accepted or rejected it.
In addition, POS MV also outputs a message echo on each of the Display and Data ports to
indicate the current system state, regardless of whether the action was successful or not.
4.2 Message Output Data Rates
The POS MV periodically generates copies (echos) of received control message or internally
generated messages at maximum frequencies described in Table 41. This output allows a POS
Controller to monitor the current state of the configuration of the POS MV. The content of the
output messages reflects the current state of thePOS MV. Thus, if the state of the system
changes, as part of the normal operations, it is reflected in the next set of echo messages from the
POS MV.
4.2.1 Message Numbering Convention
All POS products use the following message numbering convention. POS MV outputs the
message categories shown. Reserved message numbers are assigned to other products or
previous versions of POS products. In particular, POS MV V3 core messages occupy the
namespace range 1-19.
0 Core - Acknowledge message
1 - 19 Core - Reserved
20 - 49 Core - Installation parameter set-up messages
50 - 79 Core - Processing control messages
80 - 89 Core - Reserved
90 - 99 Core - Program control override messages
100 - 199 POS MV specific messages
200 - 19999 Reserved
50
20000 - 20099 Core - Diagnostic messages
20100 - 20199 POS MV specific diagnostic messages
20200 - 29999 Reserved
The Acknowledge message is the message that POS MV sends as a reply to a message from the
POS Controller. It is described in detail in Section 0 of this document.
Installation parameter set-up messages comprise all messages that the user sends via the POS
Controller to implement a particular installation of the POS MV. The POS Controller would not
normally send these messages once the installation is completed. Messages 20-29 are signal
processing parameter set-up messages. These specify sensor installation parameters and user
accuracies. Messages 30-49 are hardware control messages. These specify communication
control parameters and real-time message selections.
Processing control messages comprise all messages that the user requires to control and
monitor POS MV during a navigation session. These include navigation mode control, data
acquisition control and possibly initialization of navigation quantities if no GPS signal is
available.
Program control override messages permits the user to directly control functions that POS MV
normally performs automatically. The user would send a program control override message only
under special circumstances. For example, the user may believe that the primary or secondary
GPS receiver has lost its configuration and chooses to manually command the POS MV to re-
configure the receiver. This message category also includes control messages that alter the
normal operation or output of POS MV for diagnosis purposes. The actions induced by these
messages are not part of the normal POS MV operation and should be interpreted only by
qualified Applanix service personnel.
Table 41: Control messages output data rates
Display Port (Hz) Real-Time Data Port
(Hz)
Logging Data Port
(Hz)
Message Contents
Stby Nav Stby Nav Stby Nav
0 Acknowledge - - - - - -
Installation Parameter Set-up Messages
20 General installation parameters 1 1.0 1.0 0.1 0.1 0.1 0.1
21 GAMS installation parameters 1 1.0 1.0 0.1 0.1 0.1 0.1
22 Reserved
23 Reserved
24 User accuracy specifications 1 1.0 1.0 0.1 0.1 0.1 0.1
25 Reserved
30 Primary GPS set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
51
Display Port (Hz) Real-Time Data Port
(Hz)
Logging Data Port
(Hz)
Message Contents
Stby Nav Stby Nav Stby Nav
31 Secondary GPS set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
32 Set POS IP address 1.0 1.0 0.1 0.1 0.1 0.1
33 Event discretes set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
34 COM port set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
35 See message 135
36 See message 136
37 Base GPS 1 Set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
38 Base GPS 2 Set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
40 Reserved - - - - - -
41 Reserved - - - - - -
Processing Control Messages
50 Navigation mode control 1.0 1.0 1.0 0.1 0.1 0.1
51 Display Port control 1 1.0 1.0 1.0 0.1 0.1 0.1
52 Real-Time Data Port control 1 1.0 1.0 1.0 0.1 0.1 0.1
53 Reserved - - - - - -
54 Save/restore parameters command - - - - - -
55 Time synchronization control 1.0 1.0 1.0 0.1 0.1 0.1
56 General data 1.0 1.0 1.0 0.1 0.1 0.1
57 Installation calibration control - - - - - -
58 GAMS calibration control - - - - - -
60 Reserved - - - - - -
61 Logging Data Port control 1 1.0 1.0 1.0 0.1 0.1 0.1
Program Control Override Messages
90 Program control - - - - - -
91 GPS control - - - - - -
92 Reserved - - - - - -
93 Reserved - - - - - -
POS MV Specific Messages
105 Analog port set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
106 Heave filter set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
111 Password control - - - - - -
52
Display Port (Hz) Real-Time Data Port
(Hz)
Logging Data Port
(Hz)
Message Contents
Stby Nav Stby Nav Stby Nav
120 Sensor parameter set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
121 Vessel Installation parameters 1 1.0 1.0 0.1 0.1 0.1 0.1
135 NMEA output set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
136 Binary output set-up 1 1.0 1.0 0.1 0.1 0.1 0.1
POS MV Specific Diagnostic Control Messages
20102 Binary output diagnostics set-up 1.0 1.0 0.1 0.1 0.1 0.1
20103 Analog port diagnostics set-up 1.0 1.0 0.1 0.1 0.1 0.1
1 Message is saved in NVM
4.2.2 Compatibility with Previous POS Products
The compatibility of POS MV V4 messages with POS MV V3 products is given as follows:
#
The POS MV V4 message format is the same as that of POS MV V3 products.
#
The POS MV V4 Message 0 is the same as that of POS MV V3 products.
#
The POS MV V4 message namespace occupies 20-98, which does not intersect the core
message namespace for POS MV V3 products. Several POS MV V4 messages either are
the same or command similar actions or functions as POS MV V3 core messages in the
namespace 1-19. This separation of the message namespace allows for the unrestricted
re-organization of the POS MV V4 messages and re-design of their content without
creating compatibility problems.
4.3 Message Format
4.3.1 Introduction
All control messages have the format described in Table 42. The messages consist of a header,
message body and footer. The next section describes the specific message formats.
Table 42: Message format
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort Message dependent N/A
Byte count 2 ushort Message dependent N/A
53
Item Bytes Format Value Units
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Message body Message dependent format and content.
Pad 0 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
The header consists of the following components:
#
an ASCII string ($MSG)
#
unique message identifier
#
byte count
#
transaction number
The byte count is a short unsigned integer that includes the number of bytes in all fields in the
message except the Message start ASCII delimiter, the Message ID and the byte count.
Therefore, the byte count is always 8 bytes less than the length of the complete message.
The transaction number is a number that is attached to the input message by the client. POS MV
returns this number to the user in the Acknowledge message (ID 0). This mechanism permits the
client to know which message the POS MV is responding to; the number must be between 0 and
65532 when sent to POS. The transaction numbers 65533 to 65535 are used by POS when
outputting the echo copy of the messages.
The message body falls between the header and footer. While many messages have a message
body, it is not a requirement of the protocol. Message without bodies may in themselves act as
events, or messages may use the body to command a particular state.
Messages end with a footer that contains a pad, a checksum and an ASCII delimiter ($#).
The pad is used to make each message length a multiple of four bytes. The checksum is
calculated so that short (16 bit) integer addition of sequential groups of two bytes results in a net
sum of zero.
Parameters flagged as default are the factory settings.
The byte, short, ushort, long, ulong, float and double formats are defined in Appendix A: Data
Format Description.
The ranges of valid values for message fields that contain numbers are specified in the same way
as for numerical group fields.
54
Message fields that contain numerical values may contain invalid numbers. Invalid byte, short,
ushort, long, ulong, float and double values are defined in Table 82 (Appendix A: Data Format
Description). POS MV ignores invalid values that it receives in fields containing numerical
values. This does not apply to fields containing bit settings.
4.4 Messages Tables
4.4.1 General Messages
The following tables list the format that POS MV expects for each message input and provides
for each message output.
Message 0: Acknowledge
POS MV responds to a user control message with the Acknowledge message in three possible
ways described below:
1. The control message from the POS Controller triggers a change of state within the POS MV.
Some changes of state such as navigation mode transitions may require several seconds to
complete. POS MV sends Message 0: Acknowledge indicating that the transition is in
progress but not necessarily complete. For example, POS MV replies to a message
commanding the POS MV to transition to Navigate mode as soon as the mode transition
begins.
2. The control message from the POS Controller contains new POS MV installation or set-up
parameters that replace the parameters currently used by the POS MV. The Acknowledge
message then indicates whether the POS MV has received and begun to use the new
parameters. POS MV responds with Message 0: Acknowledge only when it has begun to use
the new parameters.
3. The control message from the POS Controller starts the transmission of one or more groups
of data. The Acknowledge message indicates the successful completion of the requested
action. The POS MV subsequently transmits the requested groups on the Display and/or Data
ports. If the data for one or more of the requested groups are not current at the time of
request, the P POS MV outputs the group(s) with stale fields set to invalid values as
described in Table 82. Message 0: Acknowledge indicates if the data for a requested group is
available (not yet implemented).
The New Parameters Status field indicates if the message being acknowledged has changed the
parameters. This allows a POS Controller to prompt the user to direct the POS MV to save the
parameters to non-volatile memory if the user has not already done so before commanding a
Standby mode transition or system shutdown.
POS MV sets the Parameter Name to the name of a parameter that it has rejected or to a null
string if it did not reject any parameters.
55
Table 43: Message 0: Acknowledge
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 0 N/A
Byte count 2 ushort 44 N/A
Transaction number 2 ushort Transaction number sent by
client.
N/A
ID of received message 2 ushort Any valid message number. N/A
Response code 2 ushort See Table 44 N/A
New parameters status 1 byte Value Message
0 No change in parameters
1 Some parameters changed
2-255 Reserved
N/A
Parameter name 32 char Name of rejected parameter on
parameter error only
N/A
Pad 1 bytes 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Table 44: Message response codes
Field
Value
Field Name Description
0 Not applicable The message is not applicable to the POS MV.
1 Message accepted POS MV has properly accepted the message from
the POS Controller.
2 Message accepted -
too long
POS MV has accepted the messaged from the POS
Controller. This is a warning that the POS MV
expected a shorter message than the one received.
This could be caused if the POS MV and the POS
Controller have different ICD versions.
56
Field
Value
Field Name Description
3 Message accepted -
too short
POS MV has accepted the messaged from the POS
Controller. This is a warning that the POS MV
expected a longer message than the one received.
This could be caused if the POS MV and the POS
Controller have different ICD versions.
4 Message parameter error The message contains one or more parameter
errors.
5 Not applicable in current
state
POS MV cannot process the message or cannot
output data requested in its current state.
6 Data not available The requested data is not available from POS MV.
7 Message start error The message does not have the proper header
``$MSG''.
8 Message end error The message does not have the proper footer ``$#''.
9 Byte count error The byte count of the message is too large for
POS MV's internal buffer.
10 Checksum error The message checksum validation failed.
11 User not logged in Password protection feature is in effect, and user
must enter password before sending the command.
This should only occur if an incompatible
Controller or Controller version is being used.
12 Password incorrect User was prompted for password and entered
incorrect password.
13-65535 Reserved Reserved
4.4.2 Installation Parameter Set-up Messages
Message 20: General Installation and Processing Parameters
This message contains general installation parameters that POS MV requires to correctly process
sensor data and output the computed navigation data. The POS MV accepts this message at any
time. The parameters contained in this message become part of the processing parameters
(referred to as ``settings'') that POS MV saves to NVM.
The following are brief descriptions of the parameters that this message contains.
57
Time Tag Selection
The Time Tag Type field selects the time tag types used for Time 1, Time 2 and Distance fields
in the Time/Distance fields in each group (see Table 3). The user can select POS, GPS or UTC
time for Time 1 and POS, GPS, UTC or User time for Time 2.
Selection of GPS time directs POS MV to set the selected Time 1 or Time 2 field in all groups to
the GPS seconds of the current week. The GPS week number can be obtained from Group 3:
Primary GPS status.
Selection of UTC time directs POS MV to set the selected Time 1 or Time 2 field in all groups
to the UTC seconds of the current week. UTC seconds of the week will lag GPS seconds of the
week by the accumulated leap seconds since the startup of GPS at which time the two times were
synchronized.
AutoStart Selection
The Select/Deselect Autostart field directs POS MV to enable or disable the AutoStart function.
When AutoStart is enabled POS MV enters Navigate mode immediately on power-up using the
parameters stored in its NVM. When Autostart is disabled, POS MV enters Standby mode on
power-up. The user must explicitly command a transition to Navigate mode.
Lever Arms and Mounting Angles
This message contains a series of fields that contain lever arm components and mounting angles.
These define the positions and orientations of the IMU and aiding sensors (GPS antennas) with
respect to user-defined reference and Vessel coordinate frames. These coordinate frames and the
installation data contained in this message are defined for an IMU that is rigidly mounted to the
Vessel.
The Vessel frame is a right-handed coordinate frame that is fixed to the Vessel whose navigation
solution the POS MV computes. The X-Y-Z axes are directed along the forward, right and down
directions of the Vessel. These are the forward along beam, starboard and vertical directions.
The reference frame is a user-defined coordinate frame that is co-aligned with the Vessel frame,
but which may be at a location that allows easier measurement of lever arms. It is also the
coordinate frame in which the relative positions and orientations of the IMU and aiding sensors
are measured. Its origin does not necessarily coincide with the Vessel frame origin, however it is
aligned with the Vessel frame.
The IMU frame is a right-handed coordinate frame whose X-Y-Z axes coincide with the inertial
sensor input axes. The IMU delivers inertial data resolved in the IMU frame to the PCS. The
position and orientation of the IMU frame is fixed with respect to the Vessel frame when the user
mounts the IMU. Practical considerations may limit the choices in IMU location, in which case
the actual position and orientation of the IMU frame may differ from a desired position and
orientation.
58
The interpretations of the lever arm and orientation fields are as follows:
Reference to IMU lever arm components
These are the X-Y-Z distances from the user-defined reference frame origin to the IMU
inertial sensor assembly origin, resolved in the reference frame.
Note: When MV POSView is used to send this message to the POS MV, the lever arm
measurement entered in MV POSView should be to the target painted on the top of the IMU
enclosure. MV POSView automatically adds the correct IMU enclosure to the IMU sensing
centre offsets (including mounting angles) when constructing the message. The echo message
output by POS MV on the Display and Data ports contain the lever arm to the sensing centre
parameters. Prior to displaying the lever arm value, MV POSView applies the inverse offset
to the Reference to IMU lever arm. If a user wishes to write a POS Controller application, the
appropriate offsets can be supplied upon request.
Reference to Primary GPS lever arm components
These are the X-Y-Z distances measured from the user-defined reference frame origin to the
phase centre of the primary GPS antenna, resolved in the reference frame.
Reference to Auxiliary 1 GPS lever arm components
These are the X-Y-Z distances measured from the user-defined reference frame origin to the
phase centre of the auxiliary 1 GPS antenna, resolved in the reference frame. POS MV uses
these lever arm components whenever it processes data from an optional auxiliary 1 GPS
receiver. If POS MV does not receive the auxiliary 1 GPS data, then it does not use these
parameters.
Reference to Auxiliary 2 GPS lever arm components
These are the X-Y-Z distances measured from the user-defined reference frame origin to the
phase centre of the auxiliary 2 GPS antenna, resolved in the reference frame. POS MV uses
these lever arm components whenever it processes data from an optional auxiliary 2 GPS
receiver. If POS MV does not receive the auxiliary 2 GPS data, then it does not use these
parameters.
IMU with respect to Reference frame mounting angles
These are the angular offsets ( # x , # y , # z ) of the IMU frame with respect to the reference
frame when the IMU is rigidly mounted to the Vessel. The angles define the Euler sequence
of rotations that bring the reference frame into alignment with the IMU frame. The angles
follow the Tate-Bryant sequence of rotation, given as follows:
right-hand screw rotation of #z about the z axis
right-hand screw rotation of #y about the once rotated y axis
right-hand screw rotation of # x about the twice rotated x axis
59
The angles # x , # y and # z may be thought of as the roll, pitch and yaw of the IMU body frame
with respect to the user IMU frame.
Reference Frame with respect to Vessel Frame mounting angles
Although these X-Y-Z fields are part of Core message 20 they are not used in the POS MV
product. POS MV assumes the reference frame and the Vessel frame are co-aligned.
MV POSView does not provide data entry fields for these values.
Multipath Setting
The Multipath Environment field directs POS MV to set its processing parameters for one of
three multipath levels impinging on primary, secondary and auxiliary GPS antennas. These are
LOW, MEDIUM and HIGH multipath. This field allows the user to select the multipath
environment which best describes the present multipath conditions. POS uses this information to
scale the RMS errors on the position and velocity outputs reported to the user to ensure that the
reported errors are reasonable. If the user selects LOW, POS MV assumes virtually no multipath
error in the primary, secondary and auxiliary GPS data. If the user selects MEDIUM or HIGH,
POS MV assumes, respectively, moderate or severe multipath errors and accounts for these in its
GPS processing algorithms.
Table 45: Message 20: General Installation and Processing Parameters
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 20 N/A
Byte count 2 ushort 84 N/A
Transaction Number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Time types 1 byte Value (bits 0-3) Time type 1
0 POS time
1 GPS time (default)
2 UTC time
3-16 Reserved
Value (bits 4-7) Time type 2
0 POS time (default)
1 GPS time
2 UTC time
3 User time
60
Item Bytes Format Value Units
4-16 Reserved
Distance type 1 byte Value State
0 N/A
1 POS distance (default)
2 DMI distance
3-255 Reserved
Select/deselect AutoStart 1 byte Value State
0 AutoStart disabled (default)
1 AutoStart enabled
2-255 Reserved
Reference to IMU X lever arm 4 float ( , ) default = 0 meters
Reference to IMU Y lever arm 4 float ( , ) default = 0 meters
Reference to IMU Z lever arm 4 float ( , ) default = 0 meters
Reference to Primary GPS X lever arm 4 float ( , ) default = 0 meters
Reference to Primary GPS Y lever arm 4 float ( , ) default = 0 meters
Reference to Primary GPS Z lever arm 4 float ( , ) default = 0 meters
Reference to Auxiliary 1 GPS X lever arm 4 float ( , ) default = 0 meters
Reference to Auxiliary 1 GPS Y lever arm 4 float ( , ) default = 0 meters
Reference to Auxiliary 1 GPS Z lever arm 4 float ( , ) default = 0 meters
Reference to Auxiliary 2 GPS X lever arm 4 float ( , ) default = 0 meters
Reference to Auxiliary 2 GPS Y lever arm 4 float ( , ) default = 0 meters
61
Item Bytes Format Value Units
Reference to Auxiliary 2 GPS Z lever arm 4 float ( , ) default = 0 meters
X IMU wrt Reference frame mounting angle 4 float [-180, +180] default = 0 degrees
Y IMU wrt Reference frame mounting angle 4 float [-180, +180] default = 0 degrees
Z IMU wrt Reference frame mounting angle 4 float [-180, +180] default = 0 degrees
X Reference frame wrt Vessel frame mounting angle 4 float [-180, +180] default = 0 degrees
Y Reference frame wrt Vessel frame mounting angle 4 float [-180, +180] default = 0 degrees
Z Reference frame wrt Vessel frame mounting angle 4 float [-180, +180] default = 0 degrees
Multipath environment 1 byte Value Multipath
0 Low
1 Medium
2 High (default)
3-255 Reserved
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 21: GAMS Installation Parameters
This message contains the GAMS installation parameters. POS MV accepts this message at any
time. The parameters contained in this message become part of the processing parameters
(referred to as ``settings'') that POS MV saves to NVM.
62
The following are brief descriptions of the parameters that this message contains.
The Primary-Secondary Antenna Separation field contains the separation between the primary
and secondary antenna centres as measured by the user. This value must have an accuracy of one
centimetre or better in order for it to be useful to the algorithm. POS MV flags any value smaller
than 10 centimetres as invalid. The default value is zero.
The Baseline Vector X-Y-Z Component fields contain the components of the primary-secondary
antenna baseline vector resolved in the IMU frame. The user is usually not able to measure these
and hence may insert the components that the POS MV computed in a previous GAMS
calibration. POS MV computes the vector length and flags any length smaller than 10
centimetres as invalid. It replaces a user-entered primary-secondary antenna separation with a
valid length. The default is a zero vector. Only an experienced user should use this message, as a
wrong value will disable the GAMS algorithm and a re-calibration will be necessary.
The Maximum Heading Error RMS For Calibration field contains the maximum navigation
solution heading error RMS that the POS MV uses for executing a GAMS baseline calibration. If
the current heading error RMS exceeds the specified maximum when the user commands a
GAMS calibration, then POS MV defers the calibration until the heading error RMS drops to
below the specified maximum.
The Heading Correction field contains a user-entered azimuth error in the primary-secondary
antenna baseline vector. POS MV computes a new baseline vector that has been rotated so that
the POS MV computed heading changes by the specified heading correction when GAMS is on-
line.
Note: POS MV echos this message with the updated Baseline Vector and the Heading Correction
field cleared. The user should not enter another Heading Correction without also restoring the
original calibrated Baseline Vector.
Table 46: Message 21: GAMS installation parameters
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 21 N/A
Byte count 2 ushort 32 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Primary-secondary antenna separation 4 float [0, ) default = 0 Meters
Baseline vector X component 4 float ( , ) default = 0 Meters
Baseline vector Y component 4 float ( , ) default = 0 meters
63
Item Bytes Format Value Units
Baseline vector Z component 4 float ( , ) default = 0 meters
Maximum heading error RMS for calibration 4 float [0, ) default = 3 degrees
Heading correction 4 float ( , ) default = 0 degrees
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 22: Reserved
Message 23: Reserved
Message 24: User Accuracy Specifications
This message sets the user accuracy specifications for full navigation status. POS MV declares
Full Navigation status on the front panel LED's and through the POS Controller when the
position, velocity, attitude and heading error RMS have all dropped to or below these accuracy
specifications.
POS MV accepts this message at anytime. The parameters contained in this message become
part of the processing parameters (referred to as ``settings'') that POS MV saves to NVM.
Table 47: Message 24: User accuracy specifications
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 24 N/A
Byte count 2 ushort 24 N/A
Transaction number 2 ushort Input: Transaction number
Output: 65533 to 65535
N/A
User attitude accuracy 4 float (0, ) default = 0.05 degrees
User heading accuracy 4 float (0, ) default = 0.05 degrees
User position accuracy 4 float (0, ) default = 2 meters
User velocity accuracy 4 float (0, ) default = 0.5 meters/second
64
Item Bytes Format Value Units
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 25: Reserved
Message 30: Primary GPS Setup
This message contains the setup parameters for the primary GPS receiver. POS MV accepts this
message at anytime. The parameters contained in this message become part of the processing
parameters (referred to as ``settings'') that POS MV saves to NVM.
The Select/Deselect GPS AutoConfig field directs POS MV to reconfigure the primary GPS
receiver if the POS MV detects that the primary GPS configuration is incorrect. If the user
chooses to disable auto-configuration, then the user must configure the primary GPS receiver
manually.
The Primary GPS COM1 Output Message Rate field specifies the rate at which the primary GPS
receiver outputs its raw observables messages over its COM1 port to the POS MV. POS MV
only process 1 Hz observables, however, selecting a higher output rate will allow more data to be
logged which may be useful for a post processed solution.
The Primary GPS COM2 Port Control directs the primary GPS receiver to accept RTCM
differential corrections, RTCA Type 18/19 corrections, CMR corrections or commands over its
COM2 port. This message assumes that the user can access the GPS receiver COM2 port directly
and connect either a source of RTCM differential corrections or a PC-compatible computer
running control software that is compatible with the primary GPS receiver. The POS MV V4
hardware connects the GPS 1 port on the PCS back panel directly to the Primary GPS COM2
port. The Primary GPS COM2 port must not be confused with the COM2 port on the PCS.
POS MV V4 processes raw GPS observables and corrections so there is no need to feed
corrections directly to the Primary GPS receiver. The GPS 1 port on the PCS read panel is
primarily to allow GPS receiver firmware upgrades.
Note: GPS Autoconfig will be turned off upon receipt of an Accept Command message and will
be turned on again when either an Accept RTCM or a GPS reconfigure message is issued.
The Primary GPS COM2 Communication Protocol fields are elaborated in Table 49. They
specify the COM2 RS-232 communication protocol settings.
65
Table 48: Message 30: Primary GPS Setup
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 30 N/A
Byte count 2 ushort 16 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Select/deselect GPS AutoConfig 1 byte Value State
0 AutoConfig disabled
1 AutoConfig enabled (default)
2-255 Reserved
Primary GPS COM1 port message output rate 1 byte Value Rate (Hz)
1 1 (default)
2 2
3 3
4 4
5 5
10 10
11-255 Reserved
Primary GPS COM2 port control 1 byte Value Operation
0 Accept RTCM (default)
1 Accept commands
2 Accept RTCA
3-255 Reserved
Primary GPS COM2 communication protocol 4 See Table 49
Default: 9600 baud, no parity, 8 data bits,
1 stop bit, none
66
Item Bytes Format Value Units
Antenna frequency 1 byte Value Operation
0 Accept L1 only
1 Accept L1/L2
2 Accept L2 only
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Table 49: RS-232/422 communication protocol settings
Item Bytes Format Value
RS-232/422 port baud rate 1 byte Value Rate
0 2400
1 4800
2 9600
3 19200
4 38400
5 57600
6 76800
7 115200
8-255 Reserved
Parity 1 byte Value Parity
0 no parity
1 even parity
2 odd parity
3-255 Reserved
67
Item Bytes Format Value
Data/Stop Bits 1 byte Value Data/Stop Bits
0 7 data, 1 stop
1 7 data, 2 stop
2 8 data, 1 stop
3 8 data, 2 stop
4-255 Reserved
Flow Control 1 byte Value Flow Control
0 none
1 hardware
2 XON/XOFF
3-255 Reserved
Message 31: Secondary GPS Setup
This message contains the set-up parameters for the secondary GPS receiver. POS MV accepts
this message at anytime. The parameters contained in this message become part of the processing
parameters (referred to as ``settings'') that POS MV saves to NVM.
The Select/Deselect GPS AutoConfig field directs POS MV to reconfigure the secondary GPS
receiver if the POS MV detects that the secondary GPS configuration is incorrect. If the user
chooses to disable auto-configuration, then the user must configure the secondary GPS receiver
manually.
The Secondary GPS COM1 Output Message Rate field specifies the rate at which the secondary
GPS receiver outputs messages over its COM1 port to POS MV.
The Secondary GPS COM2 Port Control directs the secondary GPS receiver to accept RTCM
differential corrections, RTCA Type 18 corrections or commands over its COM2 port. This
message assumes that the user can access the GPS receiver COM2 port directly and connect
either a source of RTCM differential corrections or a PC-compatible computer running control
software that is compatible with the secondary GPS receiver. The current POS MV hardware
connects the GPS 2 port on the PCS back panel directly to the Secondary GPS COM2 port. The
Secondary GPS COM2 port must not be confused with the COM2 port on the PCS. POS MV V4
processes raw GPS observables and corrections so there is no need to feed corrections directly to
the Secondary GPS receiver. The GPS 1 port on the PCS read panel is primarily to allow GPS
receiver firmware upgrades.
The Secondary GPS COM2 Communication Protocol fields are elaborated in Table 49. They
specify the COM2 RS-232 communication protocol settings.
68
Table 50: Message 31: Secondary GPS Setup
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 31 N/A
Byte count 2 ushort 16 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Select/deselect GPS AutoConfig 1 byte Value State
0 AutoConfig disabled
1 AutoConfig enabled (default)
2-255 Reserved
Secondary GPS COM1 port message output rate 1 byte Value Rate (Hz)
1 1 (default)
2 2
3 3
4 4
5 5
10 10
11-255 Reserved
Secondary GPS COM2 port control 1 byte Value Operation
0 Accept RTCM (default)
1 Accept commands
2 Accept RTCA
3-255 Reserved
Secondary GPS COM2 communication protocol 4 See Table 49
Default: 9600 baud, no parity, 8 data bits,
1 stop bit, none
69
Item Bytes Format Value Units
Antenna frequency 1 byte Value Operation
0 Accept L1 only
1 Accept L1/L2
2 Accept L2 only
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 32: Set POS IP Address
This message installs a new IP address and subnet mask in POS MV. POS MV accepts this
message at anytime. The parameters contained in this message become part of the processing
parameters (referred to as ``settings''), POS MV does not save it to NVM but changes OS setup
file.
When POS MV is installed the new IP address, it will disconnect from any connected controller
and begin using the new IP address. The changes take effect immediately upon receipt of the
message.
Table 51: Message 32: Set POS IP Address
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 32 N/A
Byte count 2 ushort 16 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
IP address Network part 1 1 byte [128, 191] Class B, subnet mask
255.255.0.0
[192, 232] Class C, subnet mask
255.255.255.0
default = 129
N/A
70
Item Bytes Format Value Units
IP address Network part 2 1 byte [0, 255] default = 100 N/A
IP address Host part 1 1 byte [0, 255] default = 0 N/A
IP address Host part 2 1 byte [1, 253] default = 219 N/A
Subnet mask Network part 1 1 byte [255] default = 255
Subnet mask Network part 2 1 byte [255] default = 255
Subnet mask Host part 1 1 byte [0, 255] default = 255
* see conditions below
Subnet mask Host part 2 1 byte [0, 254] default = 0
* see conditions below
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
* Not only must the host parts of the subnet mask be within the ranges specified, but if the 2 host
fields are considered as one 16 bit word, then any bit that is set may not have a cleared bit to its
left. This results in the following valid subnet masks:
255.255.0.0 255.255.128.0 255.255.192.0
255.255.224.0 255.255.240.0 255.255.248.0
255.255.252.0 255.255.254.0 255.255.255.0
255.255.255.128 255.255.255.192 255.255.255.224
255.255.255.224 255.255.255.240 255.255.255.248
255.255.255.252 255.255.255.254
71
Message 33: Event Discrete Setup
This message directs POS MV to set the senses of the signals for the Event 1 and 2 discrete
triggers. The user can select either positive or negative edge trigger for each event. POS MV
accepts this message at anytime. The parameters contained in this message become part of the
processing parameters (referred to as ``settings'') that POS MV saves to NVM.
Table 52: Message 33: Event Discrete Setup
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 33 N/A
Byte count 2 ushort 8 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Event 1 trigger 1 byte Value Command
0 Positive edge (default)
1 Negative edge
2-255 Reserved
Event 2 trigger 1 byte Value Command
0 Positive edge (default)
1 Negative edge
2-255 Reserved
Pad 0 short 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 34: COM Port Setup
This message sets up the communication protocol and selects the input and output content for all
available COM ports. It is a variable length message to accommodate POS hardware with
varying numbers of COM ports.
When this message is sent to POS it may contain parameters for 1 to 10 COM ports. Any COM
port can be assigned. If an assigned COM port is not present it will be ignored. Any COM port or
ports can be specified as long as they are listed in ascending order and the Port Mask field has
bits set corresponding to each COM port entry. All input selections and the Base GPS output
72
selections must be uniquely assigned to a COM port. NMEA and Real-time Binary outputs may
be assigned to any number of COM ports.
When this message is output from POS it always contains parameters for all n COM ports
available for that particular system, with the current protocol and input/output selections.
Table 53: Message 34: COM Port Setup
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 34 N/A
Byte count 2 ushort 12 + 8 x nPorts N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Number of COM ports 2 ushort [1,10]
Number (nPorts) of COM ports
assigned by this message.
N/A
COM Port Parameters variable See Table 54 One set of parameters for each of nPorts COM port.
Port mask 2 ushort Input:
Bit positions indicate which port parameters
are in message (port parameters must appear
in order of increasing port number).
Bit 0 ignored
Bit n set COMn parameter in message
Bit n clear COMn parameter not in message
Output:
Bit positions indicate which port numbers
are available on the PCS for I/O
configuration.
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
73
Table 54: COM port parameters
Item Bytes Format Value Units
Communication protocol 4 See Table 49
Default: 9600 baud, no parity, 8 data bits, 1 stop bit, none
Input select 2 ushort Value Input
0 No input
1 Auxiliary 1 GPS
2 Auxiliary 2 GPS
3 Reserved
4 Base GPS 1
5 Base GPS 2
6-255 No input
Output select 2 ushort Value Output
0 No output
1 NMEA messages
2 Real-time binary
3 Base GPS 1
4 Base GPS 2
5-255 No output
Message 35: See Message 135
Message 36: See Message 136
Message 37: Base GPS 1 Setup
This message selects the message types assigned to the Base GPS 1 port identified in Message
34. If POS MV is connected to a Hayes compatible telephone modem, then this message directs
POS MV's configuration of the modem.
74
Message 38: Base GPS 2 Setup
This message selects the message types assigned to the Base GPS 2 port identified in Message
34. If POS MV is connected to a Hayes compatible telephone modem, then this message directs
POS MV's configuration of the modem.
The connection control field will always be set to NO_ACTION when sent by POS MV except
when the message sent by the client had modem control set to AUTOMATIC and the connection
control set to CONNECT. The reason for this is to prevent manual or command actions from
getting saved in NVM and being inadvertently activated when POS MV is started. The
AUTOMATIC-CONNECT combination is the only one that a user may want to save to NVM.
Table 55: Message 37/38: Base GPS 1/2 Setup
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 37/38 N/A
Byte count 2 ushort 240 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Select Base GPS input type 2 ushort Value Operation
0 Do not accept base GPS messages
1 Accept RTCM 1/9 (default)
2 Accept RTCM 3, 18/19
3 Accept CMR/CMR+
4 Accept RTCA
5-65535 Reserved
Line control 1 byte Value Operation
0 Line used for Serial (default)
1 Line used for Modem
2-255 Reserved
75
Item Bytes Format Value Units
Modem control 1 byte Value Operation
0 Automatic control (default)
1 Manual control
2 Command control
3-255 Reserved
Connection control 1 byte Value Operation
0 No action (default)
1 Connect
2 Disconnect/Hang-up
3 Send AT Command
4-255 No action
Phone number 32 char N/A N/A
Number of redials 1 byte [0, ) default = 0 N/A
Modem command string 64 char N/A N/A
Modem initialization string 128 char N/A N/A
Data timeout length 2 ushort [0, 255] default = 0 seconds
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 40: Reserved
Message 41: Reserved
4.4.3 Processing Control Messages
Message 50: Navigation Mode Control
This message directs POS MV to transition to a specified navigation mode. The two basic
navigation modes are Standby and Navigate.
76
Table 56: Message 50: Navigation mode control
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 50 N/A
Byte count 2 ushort 8 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Navigation mode 1 byte Value Mode
0 No operation (default)
1 Standby
2 Navigate
3-255 Reserved
Pad 1 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 51: Display Port Control
This message directs POS MV to output specified groups on the Display Port primarily for the
purpose of display of data on the POS Controller.
The Number of Groups field contains the number n of groups that this message selects.
Thereafter follow n Display Port Output Group Identification fields, each of which identifies one
selected group to be output on the Display Port.
The POS MV always outputs Groups 1, 2, 3, 10 and 110 on the Display Port to provide a
minimal set of data for the POS Controller. These cannot be de-selected by omission from this
message.
POS MV accepts this message at anytime. The parameters contained in this message become
part of the processing parameters (referred to as ``settings'') that POS MV saves to NVM.
When MV POSView is connected to a POS MV Control port, it immediately sends message 51
requesting the groups it requires to populate all its currently open windows. Whenever the user
opens a new display window, MV POSView automatically sends message 51 requesting the
additional group(s) that are required. Hence there is no user setup window for the Display port in
MV POSView.
77
Table 57: Message 51: Display Port Control
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 51 N/A
Byte count 2 ushort 10 + 2 x number of groups
(+2 if pad bytes are required)
N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Number of groups selected for Display Port 2 ushort [4, 70] default = 4
(Groups 1,2,3,10 are always output on
Display Port)
N/A
Display Port output group identification variable ushort Group ID to output
[1, 65534]
N/A
Reserved 2 ushort 0 N/A
Pad 0 or 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 52: Real-Time Data Port Control
This message directs POS MV to output specified groups on the Real-Time Data Port at a
specified rate.
The Number of Groups field contains the number n of groups that this message selects.
Thereafter follow n Data Port Output Group Identification fields, each of which identifies one
selected group to be output on the Data Port.
The Data Port Output Rate field selects the output rates of all specified groups from one of
several available discrete output rates. POS MV outputs a selected group at the lesser of the user-
specified rate or the internal update rate; this depends on the selected group. If the user selects a
group to be output at maximum available rate when the internal update rate of the group data is 1
78
Hz, then POS MV outputs the selected group at 1 Hz. An exception is Group 4: Time-tagged
IMU, which the POS MV outputs at the IMU data rate regardless of the user-specified data rate.
POS MV accepts this message at anytime. The parameters contained in this message become
part of the processing parameters (referred to as ``settings'') that POS MV saves to NVM.
Table 58: Message 52/61: Real-Time/Logging Data Port Control
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 52 or 61 N/A
Byte count 2 ushort 10 + 2 x number of groups
(+2 if pad bytes are required)
N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Number of groups selected for Data Port 2 ushort [0, 70] default = 0 N/A
Data Port output group identification variable ushort Group ID to output
[1, 65534]
N/A
Data Port output rate 2 ushort Value Rate (Hz)
1 1 (default)
2 2
10 10
20 20
25 25
50 50
100 100
200 200
other values Reserved
Pad 0 or 2 byte 0 N/A
79
Item Bytes Format Value Units
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 53: Reserved
Message 54: Save/Restore Parameters Control
This message directs POS MV to save the current configuration to non-volatile memory (NVM)
or to retrieve the currently saved parameters from NVM. POS MV accepts this message at
anytime.
If the Control field is set to any value other than 1-3, this message has no effect. If the Control
field is set to 1, POS MV saves the current parameters to NVM, thereby overwriting the
previously saved parameters. If the Control field is set to 2, POS MV retrieves the currently
saved parameters into the active parameters for the current navigation session. If the Control
field is set to 3, POS MV resets the active parameters to the factory default settings. The
previously active parameters are overwritten.
Table 59: Message 54: Save/restore parameters control
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 54 N/A
Byte count 2 ushort 8 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Control 1 byte Value Operation
0 No operation
1 Save parameters in NVM
2 Restore user settings from NVM
3 Restore factory default settings
4-255 No operation
Pad 1 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
80
Message 55: User Time Recovery
This message specifies the time of the last PPS in user time to POS MV. It directs POS MV to
synchronize its User Time with the time specified in the User PPS Time field. POS MV accepts
this message at anytime at a maximum rate of once per second.
To establish user time synchronization, the user must send the user time of last PPS to POS MV
with this message after the PPS has occurred. The resolution of time synchronization is one
microsecond.
Table 60: Message 55: User time recovery
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 55 N/A
Byte count 2 ushort 24 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
User PPS time 8 double [0, ) default = 0.0 seconds
User time conversion factor 8 double [0, ) default = 1.0 #/seconds
Pad 2 short 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 56: General Data
This message provides POS MV with an initial time, position, distance and attitude fix when
either the primary GPS receiver is unable to provide this information within a maximum
initialization time. The data in this message allows a stationary POS MV to complete the coarse
leveling algorithm and begin operating in Navigate mode. POS MV can also be commanded to
start (or continue) in an alignment status beyond coarse leveling should the accuracy of
prescribed initial conditions warrant. The initial horizontal position CEP describes the circular
error probability of the initial position. The initial altitude standard deviation describes the
uncertainty in the initial altitude. These can be used to re-align POS MV at a last known position
following an integration failure when GPS is unavailable.
POS MV accepts this message at any time. It will only use the data in this message if GPS data
remains unavailable for longer than 120 seconds after receipt of this message. It will supersede
81
this general data with GPS position data as soon as the GPS data becomes available. POS MV
does not save this message to NVM, hence the user must provide this message during every
POS MV start-up where the general data are required.
Table 61: Message 56: General data
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 56 N/A
Byte count 2 ushort 80 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Time of day: Hours 1 byte [0, 23] default = 0 hours
Time of day: Minutes 1 byte [0, 59] default = 0 minutes
Time of day: Seconds 1 byte [0, 59] default = 0 seconds
Date: Month 1 byte [1, 12] default = 1 month
Date: Day 1 byte [1, 31] default = 1 day
Date: Year 2 ushort [0, 65534] default = 0 year
Initial alignment status 1 byte See Table 5 N/A
Initial latitude 8 double [-90, +90] default = 0 degrees
Initial longitude 8 double [-180, +180] default = 0 degrees
Initial altitude 8 double [-1000, +10000] default = 0 meters
Initial horizontal position CEP 4 float [0, ) default = 0 meters
Initial altitude RMS uncertainty 4 float [0, ) default = 0 meters
Initial distance 8 double [0, ) default = 0 meters
Initial roll 8 double [-180, +180] default = 0 degrees
Initial pitch 8 double [-180, +180] default = 0 degrees
Initial heading 8 double [0, 360) default = 0 degrees
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
82
Item Bytes Format Value Units
Message end 2 char $# N/A
Message 57: Installation Calibration Control
This message controls the POS MV function of self-calibration of primary installation
parameters. POS MV accepts this message at any time. The primary installation parameters
exclude the GAMS installation parameters, which are handled by a separate calibration function
and controlled separately by Message 58: GAMS Calibration Control.
The calibration is done assuming that the IMU Frame is the Reference Frame. If it is desirable to
have the IMU and Reference Frames non-coincident, then the user must apply additional offsets
consistently to all sensor frames to define a non-coincident Reference Frame.
The calibration action byte specifies a calibration action. The calibration select byte identifies
installation parameter sets on which the calibration action is applied. POS MV executes the
specified calibration action as soon as it receives this message. The following are calibration
actions available to the user:
#
start an auto-calibration or a manual calibration of selected installation parameters
#
stop an ongoing calibration
#
perform normal transfer of selected calibrated parameters following manual calibration
#
perform forced transfer of selected calibrated parameters following manual calibration
The user selects one or more installation parameter sets for calibration by setting the bits in the
calibration select byte corresponding to the parameter sets to be calibrated to 1. The user starts a
calibration of the selected installation parameters by setting the calibration action byte to 2 for a
manual calibration or 3 for an auto-calibration. POS MV restarts the Navigate mode with the
calibration option set. It then computes corrected versions of the selected installation parameters
and reports these with corresponding calibration figures of merit (FOM) in Group 14: Calibrated
installation parameters. A calibration of a selected set of installation parameters is completed
when the corresponding FOM reaches 100.
The user stops all calibrations by setting the calibration action byte to 1. POS MV restarts the
Navigate mode without the calibration option and abandons any previous calibration actions.
In an auto-calibration, POS MV replaces the existing set of installation parameters and issues a
corresponding Message 20: General Installation and Processing Parameters or Message 22:
Aiding Sensor Installation Parameters when the calibration is completed. POS MV resets its
Kalman filter and restarts the normal Navigate mode with the updated installation parameters
when all selected calibrations are completed.
83
In a manual calibration, POS MV continues the calibration and displays the final values in Group
14: Calibrated installation parameters until it receives a user command to stop the calibration or
transfer the calibrated parameters.
In a normal transfer of calibrated parameters, POS MV replaces the existing set of installation
parameters selected by the calibration select byte with the corrected parameters displayed in
Group 14: Calibrated installation parameters and having a FOM of 100. POS MV resets its
Kalman filter and restarts the normal Navigate mode with the possibly updated installation
parameters.
In a forced transfer of calibrated parameters, POS MV replaces the existing set of installation
parameters selected by the calibration select byte with the corrected parameters displayed in
Group 14: Calibrated installation parameters and having a FOM greater than 0. POS MV resets
its Kalman filter and restarts the normal Navigate mode with the updated installation parameters.
Table 62: Message 57: Installation calibration control
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 57 N/A
Byte count 2 ushort 8 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Calibration action 1 byte Value Command
0 No action (default)
1 Stop all calibrations
2 Manual calibration
3 Auto-calibration
4 Normal calibrated parameter transfer
5 Forced calibrated parameter transfer
6-255 No action
Calibration select 1 byte Bit (set) Command
0 Calibrate primary GPS lever arm
1 Calibrate auxiliary 1 GPS lever arm
2 Calibrate auxiliary 2 GPS lever arm
3 - 7 reserved
84
Item Bytes Format Value Units
Pad 0 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 58: GAMS Calibration Control
This message controls the operation of the GAMS calibration function. POS MV accepts this
message at any time.
The GAMS Calibration Control field directs POS MV to do the following:
#
stop a current nalibration in progress
#
begin a new calibration or resume a suspended calibration
#
suspend a current calibration in progress or
#
force a calibration to start without regard to the current navigation solution attitude
accuracy
POS MV returns Message 21: GAMS Installation Parameters containing the new GAMS
installation parameters when the calibration is completed.
Table 63: Message 58: GAMS Calibration Control
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 58 N/A
Byte count 2 ushort 8 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
GAMS calibration control 1 byte Value Command
0 Stop calibration (default)
1 Begin or resume calibration
2 Suspend calibration
3 Force calibration
4-255 No action
Pad 1 byte 0 N/A
85
Item Bytes Format Value Units
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 60: Reserved
Message 61: Logging Data Port Control
This message directs the POS MV to output specified groups on the Logging Data Port at a
specified rate. The format and content of the message is the same as that of Message 52 and is
given by Table 58.
POS MV accepts this message at anytime. The parameters contained in this message become
part of the processing parameters (referred to as ``settings'') that POS MV saves to NVM.
4.4.4 Program Control Override Messages
Message 90: Program Control
This message controls the operational status of POS MV. POS MV accepts this message at any
time.
POS MV interprets the values in the message as follows.
000 The connected POS Controller is alive and the TCP/IP connection is good.
001 Terminate the TCP/IP connection. This allows the POS Controller to disconnect as
controller and re-connect later.
100 Reset the GAMS algorithm to clear any pending problems.
101 Reset POS to clear pending problems. All parameters will be loaded from NVM after
a reset.
102 Shutdown POS in preparation for power-off. This function allows POS to
synchronize its files before the user disconnects the power. The user should ensure
that POS settings are saved before beginning the shutdown procedure.
POS MV continuously monitors the TCP/IP connection between itself and the POS Controller.
POS MV expects to receive at least one message from the POS Controller every 30 seconds or it
will automatically terminate the TCP/IP connection. The purpose of this function is for the
POS MV to determine if the POS Controller has failed, in which case it can reset the TCP/IP
port. This message can be used with a value of 0 as a no operation (NOP) message when no other
messages need to be sent to POS MV.
86
Table 64: Message 90: Program Control
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 90 N/A
Byte count 2 ushort 8 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Control 2 ushort Value Command
000 Controller alive
001 Terminate TCP/IP connection
100 Reset GAMS
101 Reset POS
102 Shutdown POS
all other values are reserved
Pad 0 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 91: GPS Control
This message directs POS MV to configure or reset its internal GPS receivers. POS MV accepts
this message at any time.
The Control Command field when set to Send GPS configuration (0) directs POS MV to
reconfigure the GPS receivers. POS MV then sends the configuration script messages to the
receivers in the same way as it does during initialization following power-up. The user would use
this command if he suspected that an internal GPS receiver had not initialized correctly or had
lost its configuration.
The Control Command field when set to Send reset command (1) directs POS MV to send ``cold
reset'' commands to the GPS receivers. This directs an internal GPS receiver to revert to the
factory default configurations. The user would use this command to establish a starting point for
troubleshooting problems with a GPS receiver.
87
Table 65: Message 91: GPS control
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 91 N/A
Byte count 2 ushort 8 N/A
Transaction number 2 ushort Input: Transaction number
Output: [65533, 65535]
N/A
Control command 1 byte Value Command
0 Send primary GPS configuration
1 Send primary GPS reset command
2 Send secondary GPS configuration
3 Send secondary GPS reset command
4-255 No action
Pad 1 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 92: Reserved
Message 93: Reserved
4.4.5 POS MV Specific Messages
Message 105: Analog Port Set-up
This message allows the user to configure the analog port to communicate with other equipment.
For the analog port, the user is able to configure the output message format, the scale factor and
the parameter sense required.
Table 66: Message 105: Analog Port Set-up
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 105 N/A
88
Item Bytes Format Value Units
Byte count 2 ushort 24 N/A
Transaction # 2 ushort Input: Transaction number set by client
Output: [65533, 65535]
N/A
Roll Scale Factor 4 float # = (0, )
(default = 1.0) N/A
Pitch Scale Factor 4 float # = (0, ) (default = 1.0) N/A
Heave Scale Factor 4 float # = (0, )
(default = 1.0) N/A
Roll Sense 1 byte Value Analog +ve
0 port up (default)
1 starboard up
N/A
Pitch Sense 1 byte Value Analog +ve
0 bow up (default)
1 stern up
N/A
Heave Sense 1 byte Value Analog +ve
0 up (default)
1 down
N/A
Analog Formula Select 1 byte Value Formula
0 (Tate-Bryant Trig)
roll = ##10sin#
pitch = ##10sin#
heave = ##heave
1 (Tate-Bryant Linear)
roll = ###
pitch = ###
heave = ##heave
2 (default) (TSS Trig)
roll = ##10(sin#cos#)
pitch = ##10sin#
heave = ##heave
3 (TSS Linear)
roll = ##sin -1 (sin#cos#)
pitch = ###
volts
89
Item Bytes Format Value Units
heave = ##heave
4 (RPH)
roll = ###
pitch = ###
heading = ###
Analog Output 1 byte Value Condition
0 analog off
1 analog on (default)
N/A
Frame of Reference 1 byte Value Condition
0 sensor 1 (default)
1 sensor 2
N/A
Pad 0 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 106: Heave Filter Set-up
This message allows the user to set the cut-off frequency and damping ratio of the heave filter.
Also, the message is accepted at anytime and may be saved.
Table 67: Message 106: Heave Filter Set-up
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 106 N/A
Byte count 2 ushort 16 N/A
Transaction # 2 ushort Input: Transaction number set by client
Output: [65533, 65535]
N/A
Heave Corner Period 4 float (10.0, ) (default = 200.0) seconds
Heave Damping Ratio 4 float (0, 1.0) (default = 0.707) N/A
Pad 2 byte 0 N/A
90
Item Bytes Format Value Units
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 111: Password Protection Control
This command ``Logs in'' the user, or changes the password used for user login.
The message is accepted anytime, but is redundant if ``Login'' (Password Control) is sent when
``user logged in'' condition exists (see Table 29: Group 110: MV General Status & FDIR). This is
the case when the user has logged in within the last 10 minutes, and has not disconnected or
terminated the connection to the PCS, since the login.
The message is not saved to NVM, when sent (and accepted) with Password Control equal to
``Change Password''. The new password is, however, immediately saved in the operating
system's configuration file. The message is not echoed nor output to any of Display or Data
Ports.
Table 68: Message 111: Password Protection Control
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 111 N/A
Byte count 2 ushort 48 N/A
Transaction # 2 ushort Input: Transaction number set by
client
Output: [65533, 65535]
N/A
Password Control 1 byte Value Command
0 Login
1 Change Password
N/A
Password 20 char String value of current Password,
terminated by ``null'' if less than 20
characters, or 20 (non-null) characters.
Default: pcsPasswd
N/A
91
Item Bytes Format Value Units
New Password 20 char If Password Control = 0: N/A
If Password Control = 1: String value
of new (user-selected) Password,
terminated by ``null'' if less than 20
characters, or 20 (non-null) characters.
N/A
Pad 1 byte 0 N/A -- doc error; said one short, but pad normally in bytes and one byte here for message size to be a multiple of 4
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 120: Sensor Parameter Set-up
This message contains data that is sent to POS to define the installation parameters of sensors 1
and 2 and the heave lever arm.
The interpretation of the items in this message is as follows:
Sensor(s) wrt Reference frame mounting angle:
Physical angular offsets of the sensor(s) body frame with respect to the user defined
reference frame. The reference frame is defined as the right-handed orthogonal co-ordinate
system with its origin defined at any point the user wishes. The axes are fixed to the
reference frame, with the x axis in the forward going direction, the y axis perpendicular to the
x axis and pointing to the right (starboard side), and the z axis pointing down. The sensor(s)
body frame is defined as the right-handed orthogonal co-ordinate system with its origin at the
sensing centre of the sensor. These axes are fixed to the sensor.
The angles define the Euler sequence of rotations that bring the reference frame into
alignment with the sensor body frame. The angles follow the Tate-Bryant sequence of
rotation given as follows: right-hand screw rotation of # z about the z axis followed by a
rotation of # y about the once rotated y axis followed by a rotation of # x about the twice
rotated x axis. The angles # x , # y , and # z may be thought of as the roll, pitch, and yaw of the
sensor body frame with respect to the reference frame.
Reference to Sensor(s) Lever arms:
Distances measured from the reference frame origin to the sensing centre of the sensors
resolved in the reference frame. Since the reference frame is always aligned to the vessel
frame (by design), then from the reference frame origin, x is positive towards the bow, y is
positive towards the starboard side of the vessel, and z is positive down (Right-Hand Rule).
92
Reference to Centre of Rotation Lever arms:
This set of lever arms allows the user to enter the lever arms between the reference frame
origin and the point on the vessel that experiences vertical motion due only to heave, without
roll and/or pitch induced vertical motion. The lever arms are defined as the distances
measured from the reference frame origin to the centre of rotation (CoR) resolved in the
reference frame. Since the reference frame is always aligned to the vessel frame (by design),
then from the reference frame origin, x is positive towards the bow, y is positive towards the
starboard side of the vessel, and z is positive down (Right-Hand Rule).
Vertical acceleration data from the IMU is transformed to the centre of vessel rotation
(specified by the lever arms), double integrated and passed through the high-pass heave filter
and then transformed back to the sensor positions. If this parameter is not entered, heave is
calculated at the IMU location and then transformed to the sensor positions.
Table 69: Message 120: Sensor Parameter Set-up
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 120 N/A
Byte count 2 ushort 68 N/A
Transaction # 2 ushort Input: Transaction number set by
client
Output: [65533, 65535]
N/A
X Sensor 1 4 float [-180, +180] default = 0 deg wrt reference frame mounting angle
Y Sensor 1 4 float [-180, +180] default = 0 deg wrt reference frame mounting angle
Z Sensor 1 4 float [-180, +180] default = 0 deg wrt reference frame mounting angle
X Sensor 2 4 float [-180, +180] default = 0 deg wrt reference frame mounting angle
Y Sensor 2 4 float [-180, +180] default = 0 deg wrt reference frame mounting angle
93
Item Bytes Format Value Units
Z Sensor 2 4 float [-180, +180] default = 0 deg wrt reference frame mounting angle
Reference to Sensor 1 X lever arm 4 float ( , ) default = 0 m
Reference to Sensor 1 Y lever arm 4 float ( , ) default = 0 m
Reference to Sensor 1 Z lever arm 4 float ( , ) default = 0 m
Reference to Sensor 2 X lever arm 4 float ( , ) default = 0 m
Reference to Sensor 2 Y lever arm 4 float ( , ) default = 0 m
Reference to Sensor 2 Z lever arm 4 float ( , ) default = 0 m
Reference to CoR X lever arm 4 float ( , ) default = 0 m
Reference to CoR Y lever arm 4 float ( , ) default = 0 m
Reference to CoR Z lever arm 4 float ( , ) default = 0 m
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
wrt = with respect to
94
Message 121: Vessel Installation Parameter Set-up
This message contains data that is sent to POS to define the installation parameters of the vessel.
The interpretation of the items in this message is as follows:
Reference to Vessel Lever Arms:
This set of lever arms allows the user to define a different point at which the position and
velocity data is valid for the vessel than the point to which all lever arms are measured.
Thus, it is possible to have position valid at the vessel bridge, but measure all sensor lever
arms to some conveniently accessible reference point.
The lever arm distances are measured from the user defined reference frame origin to
vessel position of interest resolved in the reference frame.
Table 70: Message 121: Vessel Installation Parameter Set-up
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 121 N/A
Byte count 2 ushort 20 N/A
Transaction # 2 ushort Input: Transaction number set by client
Output: [65533, 65535]
N/A
Reference to Vessel X lever arm 4 float ( , ) default = 0 m
Reference to Vessel Y lever arm 4 float ( , ) default = 0 m
Reference to Vessel Z lever arm 4 float ( , ) default = 0 m
Pad 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
95
Message 135: NMEA Output Set-up
This message allows the user to configure Nmea output on one or more COM ports. The COM
ports on which the Nmea output appears is controlled by message 34.
Note that this is a MV specific version of the Core message 35.
The ZDA, UTC and PPS output strings are fixed at 1 Hz (if selected) and synchronized to the
GPS PPS. They may be combined with other outputs at higher rates.
Table 71: Message 135: NMEA Output Set-up
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 135 N/A
Byte count 2 ushort For even #ports (16 + #ports x 10)
For odd #ports (18 + #ports x 10)
N/A
Transaction # 2 ushort Input: Transaction number set by client
Output: [65533, 65535]
N/A
Reserved 9 byte N/A N/A
Number of Ports 1 byte [0, 10] N/A
NMEA Port Definitions variable See Table 72: NMEA Port Definition #ports x 10
Pad 0 or 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Pad size is 0 bytes if number of ports is even, size is 2 bytes if number of ports is odd.
Table 72: NMEA Port Definition
Port Number 1 byte [1, 10] N/A
Nmea Formula Select 4 ulong Bit (set) Format Formula
0 $xxGST NMEA (pseudorange
measurement noise stats)
1 (default)$xxGGA NMEA (Global Position
System Fix)
2 $xxHDT NMEA (heading)
N/A
96
3 $xxZDA NMEA (date & time)
4,5 reserved
6 $xxVTG NMEA (track and speed)
7 $PASHR NMEA (attitude (Tate-
Bryant))
8 $PASHR NMEA (attitude (TSS))
9 $PRDID NMEA (attitude (Tate-
Bryant)
10 $PRDID NMEA (attitude (TSS)
11 $xxGGK NMEA (Global Position
System Fix)
12 $UTC UTC date and time
13 reserved
14 $xxPPS UTC time of PPS pulse
xx - is substituted by the Talker ID
Nmea output rate 1 ubyte Value Rate (Hz)
0 N/A
1 1 (default)
2 2
5 5
10 10
20 20
25 25
50 50
Hz
Talker ID 1 byte Value ID
0 IN (default)
1 GP
N/A
Roll Sense 1 byte Value Digital +ve
0 port up (default)
1 starboard up
N/A
Pitch Sense 1 byte Value Digital +ve
0 bow up (default)
1 stern up
N/A
Heave Sense 1 byte Value Digital +ve
0 up (default)
1 down
N/A
97
Message 136: Binary Output Set-up
This message allows the user to configure the real-time binary output on one or more COM
ports. The COM ports on which the binary output appears is controlled by message 34.
Note that this is a MV specific version of the Core message 36.
Table 73: Message 136: Binary Output Set-up
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 136 N/A
Byte count 2 ushort For even #ports (16 + #ports x 10)
For odd #ports (14 + #ports x 10)
N/A
Transaction # 2 ushort Input: Transaction number set by client
Output: [65533, 65535]
N/A
Reserved 7 byte N/A N/A
Number of Ports 1 byte [0, 10] N/A
Binary Port Definitions variable See Table 74: Binary Port Definition #ports x 10
Pad 0 or 2 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Pad size is 2 bytes if number of ports is even, size is 0 bytes if number of ports is odd.
Table 74: Binary Port Definition
Port Number 1 byte [1, 10] N/A
Formula Select 4 ushort Value Format Formula
0 - 2 reserved
3 Simrad1000 header
(Tate-Bryant) roll = #
pitch = #
heave = heave
heading = #
4 Simrad1000 header
N/A
98
(TSS) roll = sin-1(sin#cos#)
pitch = #
heave = heave
heading = #
5 Simrad3000 header
(Tate-Bryant) roll = #
pitch = #
heave = heave
heading = #
6 Simrad3000 header
(TSS) roll = sin-1(sin#cos#)
pitch = #
heave = heave
heading = #
7 TSS (Format 1) header
(default) horizontal acceleration
vertical acceleration
heave = heave
status
roll = sin-1(sin#cos#)
pitch = #
<CR><LF>
8 TSM 5265 header
(Tate-Bryant) time tag
roll = #
pitch = #
heave = heave
heading = #
vel (long, trans, down)
9 TSM 5265 time tag
(TSS) roll = sin-1(sin#cos#)
pitch = #
heave = heave
heading = #
vel (long, trans, down)
10 Atlas header
(TSS) roll = sin-1(sin#cos#)
99
pitch = #
heave = heave
status
footer
11 - 15 reserved
16 PPS header
GPS seconds of week
week number
UTC offset
PPS count
checksum
17 TM1B header
checksum
byte count
week number
GPS seconds of week
clock offset
clock offset std. dev.
UTC offset
clock model status
Message Update Rate 2 ushort Value Rate (Hz)
0 N/A
1 1
2 2
5 5
10 10
20 20
25 25 (default)
50 50
100 100
200 200
Hz
Roll Sense 1 byte Value Digital +ve
0 port up (default)
1 starboard up
N/A
Pitch Sense 1 byte Value Digital +ve
0 bow up (default)
1 stern up
N/A
100
Heave Sense 1 byte Value Digital +ve
0 up (default)
1 down
N/A
Sensor Frame Output 1 byte Value Frame of Reference
0 sensor 1 frame (default)
1 sensor 2 frame
N/A
4.4.6 POS MV Specific Diagnostic Control Messages
Message 20102: Binary Output Diagnostics
This message is used to set selected output values for the real-time binary output port. This is
used to allow POS to generate user selectable constant outputs to test the communications
interface between POS and the sensor.
Note that this message must be sent again to disable the fixed output.
Table 75: Message 20102: Binary Output Diagnostics
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 20102 N/A
Byte count 2 ushort 24 N/A
Transaction # 2 ushort Input: Transaction number set by client
Output: [65533, 65535]
N/A
Operator roll input 4 float (-180, 180] default = 0 deg
Operator pitch input 4 float (-180, 180] default = 0 deg
Operator heading input 4 float [0, 360) default = 0 deg
Operator heave input 4 float [-100 to 100] default = 0 m
101
Item Bytes Format Value Units
Output Enable 1 byte Value Command
0 Disabled (default)
Output navigation solution data
1 Enabled
Output operator specified fixed
values
Pad 1 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
Message 20103: Analog Port Diagnostics
This message is used to set the output values for the analog port. This is used to allow POS to
generate user selectable constant sensor attitude inputs to test the communications interface
between POS and the sensor.
Note that this message must be sent again to disable the fixed output.
Table 76: Message 20103: Analog Port Diagnostics
Item Bytes Format Value Units
Message start 4 char $MSG N/A
Message ID 2 ushort 20103 N/A
Byte count 2 ushort 20 N/A
Transaction # 2 ushort Input: Transaction number set by client
Output: [65533, 65535]
N/A
Operator roll input 4 float (-180, 180] default = 0 deg
Operator pitch input 4 float (-180, 180] default = 0 deg
Operator heave input 4 float [-100, 100] default = 0 m
102
Item Bytes Format Value Units
Output Enable 1 byte Value Command
0 Disabled (default)
Output navigation solution data
1 Enabled
Output operator specified fixed
values
Pad 1 byte 0 N/A
Checksum 2 ushort N/A N/A
Message end 2 char $# N/A
103
5 Appendix A: Data Format Description
5.1 Data Format
The data format for byte, short, long, float and double as used in POS are defined as follows:
Byte or Character
Table 77: Byte Format
MSBit LSBit
7 6 5 4 3 2 1 0
Short Integer
The short integer format of the POS data is the INTEL style byte order as follows:
Table 78: Short Integer Format
MSB LSB
15 8 7 0
Byte #: 1 0
Long Integer
The long integer format of the POS data is the INTEL style byte order as follows:
Table 79: Long Integer Format
MSB LSB
31
24
23
16
15
8
7
0
Byte #: 3 2 1 0
Float and Double
The floating point format of the POS data is the INTEL byte order from the IEEE-754 floating
point representation standard as follows:
Table 80: Single-Precision Real Format
Single-Precision Data format
31 30 23 22 0
s e f
104
Single-Precision Data format
Field Size in Bits
Sign (s) 1
Biased Exponents (e) 8
Fraction (f) 23
Total 32
Interpretation of Sign
Positive Fraction s=0
Negative Fraction s=1
Normalised Numbers
Bias of Biased Exponent +127 ($7F)
Range of Biased Exponent [0, 255] ($FF)
Range of Fraction zero or nonzero
Fraction 1.f (where f=bit 22
-1 +bit 21
-2 ...+bit 0
-23 )
Relation to Representation of Real Numbers (-1) s x2 e-127 x1.f
Approximate Ranges
Maximum Positive Normalised 3.4x10 38
Minimum Positive Normalised 1.2x10 -38
Table 81: Double-Precision Real Format
Double-Precision Data format
63 62 52 51 0
s e f
Field Size in Bits
Sign (s) 1
Biased Exponents (e) 11
Fraction (f) 52
Total 64
105
Double-Precision Data format
Interpretation of Sign
Positive Fraction s=0
Negative Fraction s=1
Normalised Numbers
Bias of Biased Exponent +1023 ($3FF)
Range of Biased Exponent [0, 2047] ($7FF)
Range of Fraction zero or nonzero
Fraction 1.f (where f=bit 51
-1 +bit 50
-2 ...+bit 0
-52 )
Relation to Representation of Real Numbers (-1) s x2 e-1023 x1.f
Approximate Ranges
Maximum Positive Normalized 1.8x10 308
Minimum Positive Normalized 2.2x10 -308
5.2 Invalid Data Values
Since there are several fields in each group or message, it is possible that one or more numerical
fields will be invalid when the group or message is output. The following numerical values
should be interpreted as invalid if they are output in any group or message. This does not apply
to single or multiple byte fields that are comprised of bit sub-fields.
The hexadecimal value describes the contents of the bytes that represent the invalid decimal
value for the type. The invalid values for all integer types are the maximum positive values that
the integer types can take.
The invalid value for the floating-point types is any value in the range of NaN (Not a Number) or
INF (Infinity) defined by IEEE-754. The value NaN is by definition any float or double having a
mantissa set to any nonzero value and an exponent whose bits are all set to 1. POS MV assigns
an invalid float or double in any group by setting all bits representing the float or double set to 1.
POS MV rejects any message that contains any of the invalid integer values in Table 82 or any
value in the range of NaN or INF.
106
Table 82: Invalid data values
Data Type Hexadecimal Value Decimal Value
Byte FF 255 (=2 8 -- 1)
Short 7F FF 32767 (=2 15 -- 1)
Unsigned short (ushort) FF FF 65535 (=2 16 -- 1)
Long 7F FF FF FF 2147483647 (=2 31 -- 1)
Unsigned long (ulong) FF FF FF FF 4294967295 (=2 32 -- 1)
Float FF FF FF FF NaN
Double FF FF FF FF FF FF FF FF NaN
107
6 Appendix B: Glossary of Acronyms
AGC automatic gain control
AutoConfig auto configure
Aux auxiliary
C/A course acquisition
char character
COM(1) communications port 1
COM(2) communications port 2
COM(3) communications port 3
D down
D/A Digital-to-Analog
dB decibels
DCM direction cosine matrix
deg degrees
deg/s degrees/second
DGPS differential global positioning system
DMI distance measurement indicator
double double precision floating point
DSP digital signal processor
E East
FDIR Fault Detection, Isolation and Reconfiguration
float floating-point precision
GAMS GPS Azimuth Measurement Subsystem
GPS Global Positioning System
H/W hardware
HDOP Horizontal Dilution of Precision
Hz Hertz
I/O input and output
ICD interface control document
IMU Inertial Measurement Unit
IP Internet Protocol
KF Kalman filter
lat latitude
long longitude
LSB least significant bit
m metres
m/s metres/second
m/s 2 metres/second/second
ms millisecond
MSB most significant bit
N North
N/A not applicable
NOP No Operation
NVM non-volatile Memory
108
PCS POS Computer System
POS Position and Orientation System
POSPAC Applanix POSPAC post-processing software package
PPS Pulse per Second
PRN Pseudo Random Noise
RAM random access memory
RF radio frequency
RMS root-mean-square
RTK real-time kinematic
RX receive data
S/D Strapdown
SCSI Small Computer Systems Interface
sec second
SV space vehicle (GPS satellites)
TCP Transmission Control Protocol
UDP User Datagram Protocol
ulong unsigned long
ushort unsigned short
UTC Universal Coordinated Time
VDOP Vertical Dilution of Precision
wrt with respect to
"""
|
[
"eyou102@gmail.com"
] |
eyou102@gmail.com
|
41b574b6038eae6b1fa688c2a54d753cb1bedaf5
|
c921aa17fa1bcc2e2c828dac463bd96c5a579d16
|
/hadoop_fab.py
|
6fbc67a3915dc4bf7c3a3fb24fa11ccf5a52e70a
|
[] |
no_license
|
adarshsaraf123/automate_hadoop_install
|
e8484dc47bc5a7508982c41a8818c6f6c2ac59de
|
2d03fc5200fa0a09e6a8344381a044a8c507c9d7
|
refs/heads/master
| 2021-01-23T07:25:56.472341
| 2017-02-01T10:25:44
| 2017-02-01T10:25:44
| 80,501,821
| 0
| 1
| null | 2017-01-31T08:33:25
| 2017-01-31T08:05:18
|
Python
|
UTF-8
|
Python
| false
| false
| 5,488
|
py
|
# Writen by Adarsh Saraf
# II M.Tech, SSSIHL, Jan 2017
from global_conf import *
hadoop_path = '~/Documents/trials/hadoop'
hadoop_datadir_path = '~/Documents/trials/hadoop_datadir'
#---------------------------------------------------------------------------------------------------------------
#--------------------------------------OPERATIONS ON ALL THE HADOOP NODES---------------------------------------
#---------------------------------------------------------------------------------------------------------------
@roles('all')
def export_hadoop_env_variables():
'''
To append the hadoop environment variables to the .bashrc file in all the nodes in the cluster
'''
hadoop_env = ["# -- HADOOP ENVIRONMENT VARIABLES START -- #",
"export JAVA_HOME=/usr/lib/jvm/jdk1.8.0_65",
"export HADOOP_HOME={}".format(hadoop_path),
#"export YCSB_HOME=/home/hduser/Documents/ycsb",
"export PATH=$PATH:$HADOOP_HOME/bin",
"export PATH=$PATH:$HADOOP_HOME/sbin",
#"export PATH=$PATH:$YCSB_HOME/bin",
"export HADOOP_MAPRED_HOME=$HADOOP_HOME",
"export HADOOP_COMMON_HOME=$HADOOP_HOME",
"export HADOOP_HDFS_HOME=$HADOOP_HOME",
"export YARN_HOME=$HADOOP_HOME",
"# -- HADOOP ENVIRONMENT VARIABLES END -- #",
]
append('~/.bashrc', hadoop_env)
@roles('all')
def reset_hadoop_datadir():
'''
To reset the Hadoop data directory in preparation for a fresh namenode format
'''
# now we need to create the hadoop data dirs
if exists(hadoop_datadir_path):
if 'reset_hadoop' not in env:
prompt('are you sure you want to reset the existing hadoop data directory? (y/n)', key='reset_hadoop', default='y')
if env.reset_hadoop == 'y':
run('rm -R {}'.format(hadoop_datadir_path))
run('mkdir -p {}'.format(hadoop_datadir_path))
#---------------------------------------------------------------------------------------------------------------
#---------------------------------------OPERATIONS ON THE MASTER NODE-------------------------------------------
#---------------------------------------------------------------------------------------------------------------
@hosts(master)
def setup_hadoop_master():
'''
To setup the master node for Hadoop
'''
# prepare the masters file locally
fmaster = open('masters', 'w')
fmaster.write(master)
fmaster.close()
# prepare the slaves file locally
fslaves = open('slaves', 'w')
fslaves.write(master + '\n')
for s in slaves:
fslaves.write(s + '\n')
fslaves.close()
# now put the masters and slaves file to the master
put('masters', hadoop_path + '/etc/hadoop')
put('slaves', hadoop_path + '/etc/hadoop')
# enable password-less login for the master on all the slaves
for s in slaves:
run('ssh-copy-id -i ~/.ssh/id_rsa.pub {}@{}'.format(env.user, s))
# export the environment variables necessary for running the hadoop in the bashrc file
export_hadoop_env_variables()
@hosts(master)
def namenode_format():
'''
To format the namenode
'''
run('hdfs namenode -format')
#---------------------------------------------------------------------------------------------------------------
#---------------------------------------OPERATIONS ON THE SLAVE NODES-------------------------------------------
#---------------------------------------------------------------------------------------------------------------
@roles('slaves')
def sync_hadoop():
'''
To sync the hadoop folder, with its configurations, at the master with the slaves
'''
run("rsync -avxP --exclude 'logs' {user}@{mn}:{hp}/ {hp}".format(user=env.user,mn=master, hp=hadoop_path))
@roles('slaves')
def setup_hadoop_slaves():
'''
To setup the slave ndoes for Hadoop
'''
# enable password-less login from the slaves to the master
run('ssh-copy-id -i ~/.ssh/id_rsa.pub {}@{}'.format(env.user, master))
# create the hadoop directory
if not exists(hadoop_path):
run('mkdir -p {}'.format(hadoop_path))
# sync the hadoop directory from the master
sync_hadoop()
# export the environment variables necessary for running the hadoop in the bashrc file
export_hadoop_env_variables()
#---------------------------------------------------------------------------------------------------------------
#-------------------------------ADMINISTRATION TASKS FOR THE HADOOP CLUSTER-------------------------------------
#---------------------------------------------------------------------------------------------------------------
def reset_namenode():
'''
To reset the namenode, and thereby reset the HDFS data
'''
execute(reset_hadoop_datadir)
execute(namenode_format)
def install_hadoop():
'''
To install the hadoop cluster on the nodes as specified in global_conf
'''
execute(setup_hadoop_master)
execute(setup_hadoop_slaves)
reset_namenode()
@hosts(master)
def start_hadoop():
'''
To start the hadoop cluster
'''
run('start-dfs.sh')
run('start-yarn.sh')
#run('start-hbase.sh')
@hosts(master)
def stop_hadoop():
'''
To stop the hadoop cluster
'''
#run('stop-hbase.sh')
run('stop-yarn.sh')
run('stop-dfs.sh')
|
[
"adarshsaraf123@gmail.com"
] |
adarshsaraf123@gmail.com
|
c098b60d23b959e928a07a300d8702f5d75ab320
|
983051cb9d4c0f1c799c7725191e119652cae59e
|
/agents/actor.py
|
9edd6b3494efd9db8a07fb20b9c1cd5aa361b5a1
|
[] |
no_license
|
kurazu/RL-Quadcopter-2
|
f0141c10891b1c822c1c530d879d2949c3bc348a
|
cf08b9793762f29e89d04b2ce5f7035fbe5caf70
|
refs/heads/master
| 2020-03-14T15:42:53.448899
| 2018-05-04T22:47:19
| 2018-05-04T22:47:19
| 131,682,412
| 0
| 0
| null | 2018-05-01T06:12:25
| 2018-05-01T06:12:25
| null |
UTF-8
|
Python
| false
| false
| 2,518
|
py
|
from keras import layers, models, optimizers, backend as K
from agents.neural import dense
class Actor:
"""Actor (Policy) Model."""
def __init__(
self, state_size, action_size, action_low, action_high,
learning_rate=None
):
"""Initialize parameters and build model.
Params
======
state_size (int): Dimension of each state
action_size (int): Dimension of each action
action_low (array): Min value of each action dimension
action_high (array): Max value of each action dimension
learning_rate (float): Optimizer learning rate
"""
self.state_size = state_size
self.action_size = action_size
self.action_low = action_low
self.action_high = action_high
self.action_range = self.action_high - self.action_low
self.learning_rate = learning_rate
self.build_model()
def build_model(self):
"""Build an actor (policy) network that maps states -> actions."""
# Define input layer (states)
states = layers.Input(shape=(self.state_size,), name='states')
# Add hidden layers
# Simplified neural net compared to the original DDPG paper.
net = dense(states, 64)
# Add final output layer with sigmoid activation
raw_actions = layers.Dense(
units=self.action_size, activation='sigmoid',
name='raw_actions'
)(net)
# Scale [0, 1] output for each action dimension to proper range
actions = layers.Lambda(
lambda x: (x * self.action_range) + self.action_low,
name='actions'
)(raw_actions)
# Create Keras model
self.model = models.Model(inputs=states, outputs=actions)
print('Actor model')
self.model.summary()
# Define loss function using action value (Q value) gradients
action_gradients = layers.Input(shape=(self.action_size,))
loss = K.mean(-action_gradients * actions)
# Incorporate any additional losses here (e.g. from regularizers)
# Define optimizer and training function
optimizer = optimizers.Adam(lr=self.learning_rate)
updates_op = optimizer.get_updates(
params=self.model.trainable_weights, loss=loss
)
self.train_fn = K.function(
inputs=[self.model.input, action_gradients, K.learning_phase()],
outputs=[],
updates=updates_op
)
|
[
"kurazu@kurazu.net"
] |
kurazu@kurazu.net
|
d02aa40ba34b8b88f1028e0945a21fc65e086d34
|
1e0bbcb79baae47218945282d104b9f441be08ef
|
/movienight/gui/videoplayer.py
|
1d4df81265bf03369be4121343256412e39fb55d
|
[] |
no_license
|
Unmoon/movienight
|
cb3a4d9a5fa8e72fd6882d0ff083545013332e14
|
23348eea821944e9be55ecd721307fa0005e603e
|
refs/heads/master
| 2021-07-01T19:30:12.761806
| 2021-01-05T16:39:49
| 2021-01-05T16:39:49
| 203,797,536
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 11,070
|
py
|
import logging
import os
import platform
import threading
import vlc
from PyQt5 import QtCore
from PyQt5 import QtGui
from PyQt5 import QtWidgets
from ..config import config
from ..synchandler import SyncHandler
log = logging.getLogger("movienight")
TITLE = "Movie Night"
class VideoPlayer(QtWidgets.QMainWindow):
"""A simple Media Player using VLC and Qt."""
def __init__(self, master=None):
QtWidgets.QMainWindow.__init__(self, master)
self.setWindowTitle(TITLE)
self.setGeometry(0, 0, 1280, 720)
# Create a basic vlc instance
self.instance = vlc.Instance()
self.media = None
self.lock = threading.Lock()
# Create an empty vlc media player
self.media_player = self.instance.media_player_new()
self.media_player.video_set_mouse_input(False)
self.media_player.video_set_key_input(False)
self.video_frame = None
self.widget = None
self.palette = None
self.h_button_box = None
self.play_button = None
self.volume_slider = None
self.subtitle_tracks_label = None
self.subtitle_tracks = None
self.audio_tracks_label = None
self.audio_tracks = None
self.audio_delay = None
self.audio_delay_label = None
self.v_box_layout = None
self.timer = None
self.create_ui()
self.delay = 0
self.sync_handler = SyncHandler(play_callback=self.play, pause_callback=self.pause, lock=self.lock)
def mouseDoubleClickEvent(self, event):
if event.button() == QtCore.Qt.LeftButton:
if self.windowState() == QtCore.Qt.WindowFullScreen:
self.setWindowState(QtCore.Qt.WindowNoState)
self.volume_slider.show()
self.audio_delay.show()
self.play_button.show()
self.audio_tracks_label.show()
self.audio_tracks.show()
self.audio_tracks.setDisabled(False)
self.subtitle_tracks_label.show()
self.subtitle_tracks.show()
self.subtitle_tracks.setDisabled(False)
self.audio_delay_label.show()
self.audio_delay.show()
self.setCursor(QtGui.QCursor(QtCore.Qt.ArrowCursor))
else:
self.setWindowState(QtCore.Qt.WindowFullScreen)
self.volume_slider.hide()
self.audio_delay.hide()
self.play_button.hide()
self.audio_tracks_label.hide()
self.audio_tracks.hide()
self.audio_tracks.setDisabled(True)
self.subtitle_tracks_label.hide()
self.subtitle_tracks.hide()
self.subtitle_tracks.setDisabled(True)
self.audio_delay_label.hide()
self.audio_delay.hide()
self.setCursor(QtGui.QCursor(QtCore.Qt.BlankCursor))
def keyPressEvent(self, event):
if event.key() == QtCore.Qt.Key_Space:
log.debug("is_playing: %s", self.media_player.is_playing())
with self.lock:
if self.media_player.is_playing() == 1:
self.pause()
else:
self.play()
def closeEvent(self, event):
self.media_player.set_media(None)
def create_ui(self):
"""Set up the user interface, signals & slots."""
self.widget = QtWidgets.QWidget(self)
self.setCentralWidget(self.widget)
# In this widget, the video will be drawn
if platform.system() == "Darwin": # for MacOS
self.video_frame = QtWidgets.QMacCocoaViewContainer(0)
else:
self.video_frame = QtWidgets.QFrame()
self.palette = self.video_frame.palette()
self.palette.setColor(QtGui.QPalette.Window, QtGui.QColor(0, 0, 0))
self.video_frame.setPalette(self.palette)
self.video_frame.setAutoFillBackground(True)
self.volume_slider = QtWidgets.QSlider(QtCore.Qt.Horizontal, self)
self.volume_slider.setMaximum(100)
self.volume_slider.setValue(self.media_player.audio_get_volume())
self.volume_slider.setToolTip("Volume")
self.volume_slider.valueChanged.connect(self.set_volume)
self.play_button = QtWidgets.QPushButton("Play")
self.play_button.clicked.connect(lambda: self.pause() if self.media_player.is_playing() == 1 else self.play())
self.subtitle_tracks_label = QtWidgets.QLabel("Subtitle Track:", self)
self.subtitle_tracks = QtWidgets.QComboBox(self)
self.subtitle_tracks.setMinimumWidth(200)
self.subtitle_tracks.activated[str].connect(self.set_subtitle_track)
self.audio_tracks_label = QtWidgets.QLabel("Audio Track:", self)
self.audio_tracks = QtWidgets.QComboBox(self)
self.audio_tracks.setMinimumWidth(200)
self.audio_tracks.activated[str].connect(self.set_audio_track)
self.audio_delay_label = QtWidgets.QLabel("Audio Delay:", self)
self.audio_delay = QtWidgets.QLineEdit()
self.audio_delay.setValidator(QtGui.QDoubleValidator(-5.0, 5.0, 2))
self.audio_delay.setMaxLength(4)
self.audio_delay.setMaximumWidth(50)
self.audio_delay.setAlignment(QtCore.Qt.AlignRight)
self.audio_delay.setText(str(self.media_player.audio_get_delay()))
self.audio_delay.editingFinished.connect(
lambda: self.set_audio_delay(float(self.audio_delay.text().replace(",", ".")))
)
self.h_button_box = QtWidgets.QHBoxLayout()
self.h_button_box.addWidget(self.play_button)
self.h_button_box.addWidget(self.audio_tracks_label)
self.h_button_box.addWidget(self.audio_tracks)
self.h_button_box.addWidget(self.subtitle_tracks_label)
self.h_button_box.addWidget(self.subtitle_tracks)
self.h_button_box.addWidget(self.audio_delay_label)
self.h_button_box.addWidget(self.audio_delay)
self.h_button_box.addStretch(1)
self.h_button_box.addWidget(self.volume_slider)
self.v_box_layout = QtWidgets.QVBoxLayout()
self.v_box_layout.addWidget(self.video_frame)
self.v_box_layout.addLayout(self.h_button_box)
self.v_box_layout.setContentsMargins(0, 0, 0, 0)
self.widget.setLayout(self.v_box_layout)
def play(self, time=None):
if self.media_player.is_playing() == 1:
return
self.media_player.play()
self.play_button.setText("Pause")
if time is None:
self.send_sync(True)
else:
self.sync(time)
def pause(self, time=None):
if self.media_player.is_playing() == 0:
return
if time is None:
self.send_sync(False)
else:
self.sync(time)
self.media_player.pause()
self.play_button.setText("Play")
def set_audio_delay(self, delay):
"""Set delay in seconds for audio."""
self.delay = int(delay * 1000000)
if self.media_player.is_playing() == 1:
log.debug(self.media_player.audio_set_delay(self.delay))
def set_subtitle_track(self, subtitle_track):
for key, value in self.media_player.video_get_spu_description():
if str(value, "utf-8") == subtitle_track:
self.media_player.video_set_spu(key)
log.debug("Setting subtitle track to %s (%i)", value, key)
return
def set_audio_track(self, audio_track):
for key, value in self.media_player.audio_get_track_description():
if str(value, "utf-8") == audio_track:
self.media_player.audio_set_track(key)
log.debug("Setting audio track to %s (%i)", value, key)
return
def open_file(self, filename):
"""Open a media file in a MediaPlayer."""
file_path = os.path.join(config.get("download_directory"), filename)
# getOpenFileName returns a tuple, so use only the actual file name
self.media = self.instance.media_new(file_path)
# Put the media in the media player
self.media_player.set_media(self.media)
# Parse the metadata of the file
self.media.parse()
# Set the title of the track as window title
self.setWindowTitle(TITLE + " - " + self.media.get_meta(0))
# The media player has to be 'connected' to the QFrame (otherwise the
# video would be displayed in it's own window). This is platform
# specific, so we must give the ID of the QFrame (or similar object) to
# vlc. Different platforms have different functions for this
if platform.system() == "Linux": # for Linux using the X Server
self.media_player.set_xwindow(int(self.video_frame.winId()))
elif platform.system() == "Windows": # for Windows
self.media_player.set_hwnd(int(self.video_frame.winId()))
elif platform.system() == "Darwin": # for MacOS
self.media_player.set_nsobject(int(self.video_frame.winId()))
def set_volume(self, volume):
"""Set the volume."""
self.media_player.audio_set_volume(volume)
def send_sync(self, playing):
time = max(self.media_player.get_time(), 0)
if playing:
log.debug("Playing at %i", time)
self.sync_handler.play(time)
else:
log.debug("Pausing at %i", time)
self.sync_handler.stop(time)
log.debug("Synced server to %i", time)
def sync(self, time):
log.debug("Synced client to %i", time)
self.media_player.set_time(time)
def load_subtitle_tracks(self):
if self.subtitle_tracks.count() < self.media_player.video_get_spu_count():
subtitle_tracks = list()
current_subtitle_track = self.media_player.video_get_spu()
for key, value in self.media_player.video_get_spu_description():
if key == current_subtitle_track:
current_subtitle_track = str(value, "utf-8")
subtitle_tracks.append(str(value, "utf-8"))
self.subtitle_tracks.insertItems(0, subtitle_tracks)
self.subtitle_tracks.setCurrentIndex(
self.subtitle_tracks.findText(current_subtitle_track, QtCore.Qt.MatchFixedString)
)
def load_audio_tracks(self):
if self.audio_tracks.count() < self.media_player.audio_get_track_count():
audio_tracks = list()
current_audio_track = self.media_player.audio_get_track()
for key, value in self.media_player.audio_get_track_description():
if key == current_audio_track:
current_audio_track = str(value, "utf-8")
audio_tracks.append(str(value, "utf-8"))
self.audio_tracks.insertItems(0, audio_tracks)
self.audio_tracks.setCurrentIndex(
self.audio_tracks.findText(current_audio_track, QtCore.Qt.MatchFixedString)
)
|
[
"joona@unmoon.com"
] |
joona@unmoon.com
|
4a4e52af780f0d7b6e3bf669cc3b946e0f289c46
|
dd27ad86f0b4b2db52d286f339276f05db0e5b44
|
/algorithm/0107Binary_Tree_Level_Order_Traversal_II.py
|
1cdd59cde4d57f8410940bedea4cdc1c520300d4
|
[] |
no_license
|
xkoma001/leetcode
|
0719397954dbed5db4f767bd941ffffeab3e3584
|
d71e725d779d7b45402893b311939c2cce60fbca
|
refs/heads/master
| 2020-03-19T04:08:02.749563
| 2018-06-04T06:43:20
| 2018-06-04T06:43:20
| 135,797,739
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 608
|
py
|
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def levelOrderBottom(self, root):
"""
:type root: TreeNode
:rtype: List[List[int]]
"""
if not root:
return []
ans, stack = [], [root]
while stack:
cur_rel = [node.val for node in stack]
stack = [kid for pair in stack for kid in (pair.left, pair.right) if kid]
ans.insert(0, cur_rel)
return ans
|
[
"xkoma001@126.com"
] |
xkoma001@126.com
|
87653fd44ba408c19431edb73bbc522075232363
|
02c53e7e3be9599efad4cb351e5cbdd31912db10
|
/work/kings.py
|
3600425f4aa7cbb31efbb0a2c7009c69f3a30529
|
[] |
no_license
|
nearxu/super-spider
|
7d3c9dc0375b114312b0df223087493f3065d99e
|
10551dea1d829461f39e9f8b9e61cdcbaeea2d0c
|
refs/heads/master
| 2020-05-20T13:51:10.309224
| 2019-06-08T13:37:02
| 2019-06-08T13:37:02
| 185,609,337
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 768
|
py
|
import requests
from bs4 import BeautifulSoup
import csv
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/66.0.3359.181 Safari/537.36'
}
def open_url():
url = 'https://qq.yh31.com/zjbq/'
try:
response = requests.get(url,headers=headers)
if response.status_code == 200:
return response.text
else :
return None
except Exception as e:
print(e)
return None
def parse_html(html):
print(html,'html')
soup = BeautifulSoup(html,features='html.parser')
title_pages = soup.find_all(id="qh_con1")
return title_pages
if __name__ == "__main__":
html = open_url()
content = parse_html(html)
print(content)
|
[
"2448895924@qq.com"
] |
2448895924@qq.com
|
3a0b1205172916536815cd2e0be3b95a90e8dd4d
|
0e6a67f1794c3a599c88647f5cb293fc5b49f6a0
|
/ofm_client/v2/query_builder/query/interfaces/i_query.py
|
52dceda13c3d050418d9f63986aaeea0c0850f24
|
[
"Apache-2.0"
] |
permissive
|
factset/ofm-python-sdk
|
d02d0ed66cab73426020e9609aed9bfb8a979901
|
3345fea40fa287e899dbab01b1a839a0eeab468c
|
refs/heads/master
| 2022-07-04T03:59:33.698571
| 2020-05-15T07:57:14
| 2020-05-15T07:57:14
| 244,479,810
| 1
| 1
|
Apache-2.0
| 2020-05-15T07:57:15
| 2020-03-02T21:31:59
|
Python
|
UTF-8
|
Python
| false
| false
| 1,225
|
py
|
from __future__ import absolute_import
import abc
from typing import List
from ofm_client.v2.query_builder.filters.filter_term import FilterTerm
from ofm_client.v2.query_builder.search.search_term import SearchTerm
from ofm_client.v2.query_builder.sort.sort_term import SortTerm
class IQuery(abc.ABC):
@property
def searchTerms(self)->List[SearchTerm]:
pass
@searchTerms.setter
def searchTerms(self, searchTerms: List[SearchTerm]):
pass
@property
def filterTerms(self)->List[FilterTerm]:
pass
@filterTerms.setter
def filterTerms(self, filterTerms: List[FilterTerm]):
pass
@property
def sortTerms(self)->List[SortTerm]:
pass
@sortTerms.setter
def sortTerms(self, sortTerms: List[SortTerm]):
pass
@property
def limit(self)->int:
pass
@limit.setter
def limit(self, limit: int)->int:
pass
@property
def page(self)->int:
pass
@page.setter
def page(self, page: int)->int:
pass
@property
def fields(self)->List[str]:
pass
@fields.setter
def fields(self, fields: List[str])->List[str]:
pass
|
[
"alexander.barker@factset.com"
] |
alexander.barker@factset.com
|
7e219a351898aa9df2412ba76a4f3ad488ef012a
|
925008308759bd81e16ad2a3e3303460f93c8bc6
|
/status.py
|
174e38a5ba32600ad821e1faaf648ba74540e838
|
[] |
permissive
|
mitodl/release-script
|
88105e5cf44fa798d34b447fb7d459be526ba790
|
385b68b9962dca6563e2a2a83a4a97b6f1369772
|
refs/heads/master
| 2023-08-18T00:10:58.545772
| 2023-08-14T19:04:50
| 2023-08-14T19:07:07
| 51,475,352
| 15
| 7
|
BSD-3-Clause
| 2023-08-14T19:07:09
| 2016-02-10T21:55:18
|
Python
|
UTF-8
|
Python
| false
| false
| 4,157
|
py
|
"""Get release status of a repository"""
from constants import (
BLOCKER_LABELS,
DEPLOYED_TO_PROD,
LIBRARY_TYPE,
LIBRARY_PR_WAITING_FOR_MERGE,
RELEASE_LABELS,
STATUS_EMOJIS,
WAITING_FOR_CHECKBOXES,
)
from github import get_labels
from lib import (
get_default_branch,
init_working_dir,
)
from release import any_commits_between_branches
from version import get_project_version
async def status_for_repo_last_pr(*, github_access_token, repo_info, release_pr):
"""
Calculate release status for the most recent PR
The return value will be one of:
ALL_CHECKBOXES_CHECKED - All checkboxes are checked off and the release is ready to merge
DEPLOYED_TO_PROD - The release has been successfully deployed to production
DEPLOYING_TO_PROD - The release is in the process of being deployed to production
DEPLOYING_TO_RC - The pull request is in the middle of deploying to RC
FREEZE_RELEASE - The release is frozen, so it should be ignored until that github label is removed
LIBRARY_WAITING_FOR_RELEASE - There is a release PR for a library, waiting on the release manager to merge
WAITING_FOR_CHECKBOXES - The bot is polling regularly to check if all checkboxes are checked off
Or None if there is no previous release, or something unexpected happened.
Args:
github_access_token (str): The github access token
repo_info (RepoInfo): Repository info
release_pr (ReleasePR): The info for the release PR
Returns:
str or None: A status string
"""
if release_pr:
if repo_info.project_type == LIBRARY_TYPE:
if release_pr.open:
return LIBRARY_PR_WAITING_FOR_MERGE
else:
labels = {
label.lower()
for label in await get_labels(
github_access_token=github_access_token,
repo_url=repo_info.repo_url,
pr_number=release_pr.number,
)
}
for label in BLOCKER_LABELS:
if label.lower() in labels:
return label.lower() if release_pr.open else None
if not release_pr.open and WAITING_FOR_CHECKBOXES.lower() in labels:
# If a PR is closed and the label is 'waiting for checkboxes', just ignore it
# Maybe a user closed the PR, or the label was incorrectly updated
return None
for label in RELEASE_LABELS:
if label.lower() in labels:
return label.lower()
return None
async def status_for_repo_new_commits(*, github_access_token, repo_info, release_pr):
"""
Check if there are new commits to be part of a release
Args:
github_access_token (str): The github access token
repo_info (RepoInfo): Repository info
release_pr (ReleasePR): The info for the release PR
Returns:
bool:
Whether or not there are new commits
"""
async with init_working_dir(github_access_token, repo_info.repo_url) as working_dir:
last_version = await get_project_version(
repo_info=repo_info, working_dir=working_dir
)
default_branch = await get_default_branch(working_dir)
return await any_commits_between_branches(
branch1="origin/release-candidate"
if release_pr and release_pr.open
else f"v{last_version}",
branch2=default_branch,
root=working_dir,
)
def format_status_for_repo(*, current_status, has_new_commits):
"""
Adds formatting to render a status
Args:
current_status (str): The status of the most recent PR for the repo
has_new_commits (bool): Whether there are new commits to release
"""
new_status_string = "*new commits*" if has_new_commits else ""
current_status_string = (
current_status if current_status and current_status != DEPLOYED_TO_PROD else ""
)
emoji = STATUS_EMOJIS.get(current_status, "")
return f"{current_status_string}{emoji} {new_status_string}".strip()
|
[
"noreply@github.com"
] |
mitodl.noreply@github.com
|
da01c87e271a423a775f2341ff133fb00379c654
|
c8b00fd8bc8bf9a9b6e44657a854431d8029fc9a
|
/sixus/C.py
|
29f0d5c78f4fca6a6505aca8a47cc762fd2b7d88
|
[] |
no_license
|
dionysio/math-python
|
0a0d4da1223d642f6fa7f4ff93586e0734886f9b
|
84d5049657d66365bafa48cf802a986711ecb076
|
refs/heads/master
| 2021-01-10T19:15:53.243587
| 2015-03-23T20:33:53
| 2015-03-23T20:33:53
| 31,867,130
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 900
|
py
|
import matplotlib.pyplot as plt
import numpy as np
def logistic(r,x):
return 4*r * x* (1 - x)
'''discard - basically how many of values to use from the end
iterations - how many iterations of logistic func
low_x, high_x - limit the x axis (values of r)
low_y, high_y - limit the y axis (actual values of logistic func)
'''
def draw_f(iterations=2000, discard=100, low_x=0, high_x=1, low_y=0, high_y=1):
x = 0.235 * np.ones(iterations) #numpy array of 0.235s - I do not think the number itself is important
r = np.linspace(0, 1, iterations) #numpy array of equally divided values between 0 and 1
for i in range(iterations-discard): #calculate but do not draw
x = logistic(r, x)
for i in range(iterations-discard, iterations):
x = logistic(r, x)
plt.plot(r, x, ',k')
plt.xlim(low_x, high_x)
plt.ylim(low_y, high_y)
plt.savefig('feigenbaum.png')
|
[
"dionyz.lazar+dev@gmail.com"
] |
dionyz.lazar+dev@gmail.com
|
6723224fa7f7efa05ba157f597fb3fd81558e503
|
98c8659e7cadb85a19e0929d6ccbed3d0888aa77
|
/GNU/FM_5.py
|
b3d71e5af479c466e68442594fe158eb026c8c20
|
[] |
no_license
|
JoshuaatBU/Starobike
|
9a6eafd49abc2778e8c7c48f8de3b57846626e23
|
cc458a7dcd49261f00a8442847c9f8be77155f3d
|
refs/heads/main
| 2023-05-10T00:58:07.148311
| 2021-05-25T19:56:00
| 2021-05-25T19:56:00
| 370,811,757
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 5,827
|
py
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# SPDX-License-Identifier: GPL-3.0
#
# GNU Radio Python Flow Graph
# Title: FM_5_transmit
# Author: jshall
# GNU Radio version: 3.8.1.0
from distutils.version import StrictVersion
if __name__ == '__main__':
import ctypes
import sys
if sys.platform.startswith('linux'):
try:
x11 = ctypes.cdll.LoadLibrary('libX11.so')
x11.XInitThreads()
except:
print("Warning: failed to XInitThreads()")
from PyQt5 import Qt
from gnuradio import qtgui
from gnuradio.filter import firdes
import sip
from gnuradio import analog
from gnuradio import blocks
from gnuradio import filter
from gnuradio import gr
import sys
import signal
from argparse import ArgumentParser
from gnuradio.eng_arg import eng_float, intx
from gnuradio import eng_notation
from gnuradio import uhd
import time
from gnuradio import qtgui
class FM_5(gr.top_block, Qt.QWidget):
def __init__(self):
gr.top_block.__init__(self, "FM_5_transmit")
Qt.QWidget.__init__(self)
self.setWindowTitle("FM_5_transmit")
qtgui.util.check_set_qss()
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "FM_5")
try:
if StrictVersion(Qt.qVersion()) < StrictVersion("5.0.0"):
self.restoreGeometry(self.settings.value("geometry").toByteArray())
else:
self.restoreGeometry(self.settings.value("geometry"))
except:
pass
##################################################
# Variables
##################################################
self.samp_rate = samp_rate = 32000
##################################################
# Blocks
##################################################
self.uhd_usrp_sink_0 = uhd.usrp_sink(
",".join(("", "")),
uhd.stream_args(
cpu_format="fc32",
args='',
channels=list(range(0,1)),
),
'',
)
self.uhd_usrp_sink_0.set_center_freq(100000000, 0)
self.uhd_usrp_sink_0.set_gain(200, 0)
self.uhd_usrp_sink_0.set_antenna('TX/RX', 0)
self.uhd_usrp_sink_0.set_samp_rate(1000000)
# No synchronization enforced.
self.rational_resampler_xxx_0 = filter.rational_resampler_ccc(
interpolation=1000000,
decimation=22050,
taps=None,
fractional_bw=None)
self.qtgui_sink_x_1 = qtgui.sink_c(
1024, #fftsize
firdes.WIN_BLACKMAN_hARRIS, #wintype
0, #fc
samp_rate, #bw
"", #name
True, #plotfreq
True, #plotwaterfall
True, #plottime
True #plotconst
)
self.qtgui_sink_x_1.set_update_time(1.0/10)
self._qtgui_sink_x_1_win = sip.wrapinstance(self.qtgui_sink_x_1.pyqwidget(), Qt.QWidget)
self.qtgui_sink_x_1.enable_rf_freq(False)
self.top_grid_layout.addWidget(self._qtgui_sink_x_1_win)
self.blocks_wavfile_source_0 = blocks.wavfile_source('/home/jshall/Downloads/ImperialMarch60.wav', True)
self.blocks_multiply_const_vxx_0 = blocks.multiply_const_ff(1)
self.analog_wfm_tx_0 = analog.wfm_tx(
audio_rate=22050,
quad_rate=22050,
tau=75e-6,
max_dev=8000,
fh=-1.0,
)
##################################################
# Connections
##################################################
self.connect((self.analog_wfm_tx_0, 0), (self.rational_resampler_xxx_0, 0))
self.connect((self.blocks_multiply_const_vxx_0, 0), (self.analog_wfm_tx_0, 0))
self.connect((self.blocks_wavfile_source_0, 0), (self.blocks_multiply_const_vxx_0, 0))
self.connect((self.rational_resampler_xxx_0, 0), (self.qtgui_sink_x_1, 0))
self.connect((self.rational_resampler_xxx_0, 0), (self.uhd_usrp_sink_0, 0))
def closeEvent(self, event):
self.settings = Qt.QSettings("GNU Radio", "FM_5")
self.settings.setValue("geometry", self.saveGeometry())
event.accept()
def get_samp_rate(self):
return self.samp_rate
def set_samp_rate(self, samp_rate):
self.samp_rate = samp_rate
self.qtgui_sink_x_1.set_frequency_range(0, self.samp_rate)
def main(top_block_cls=FM_5, options=None):
if StrictVersion("4.5.0") <= StrictVersion(Qt.qVersion()) < StrictVersion("5.0.0"):
style = gr.prefs().get_string('qtgui', 'style', 'raster')
Qt.QApplication.setGraphicsSystem(style)
qapp = Qt.QApplication(sys.argv)
tb = top_block_cls()
tb.start()
tb.show()
def sig_handler(sig=None, frame=None):
Qt.QApplication.quit()
signal.signal(signal.SIGINT, sig_handler)
signal.signal(signal.SIGTERM, sig_handler)
timer = Qt.QTimer()
timer.start(500)
timer.timeout.connect(lambda: None)
def quitting():
tb.stop()
tb.wait()
qapp.aboutToQuit.connect(quitting)
qapp.exec_()
if __name__ == '__main__':
main()
|
[
"joshuaat@bu.edu"
] |
joshuaat@bu.edu
|
7e87b934a7942ef35ad3f231531b13d99f5cbee9
|
b3eac9ed42c345079f80277cfe1d196033446e24
|
/permission/api/mission.py
|
07f2d7941bafea1aa66aeda770eb7b0f92800423
|
[] |
no_license
|
willtuna/nctuoj
|
697e0ea02cdc8d19b5f052155a464be1937d718e
|
5638f76113ff3d6ff24c71b1484fd0b635f09040
|
refs/heads/master
| 2021-01-19T13:55:55.259922
| 2017-08-20T13:41:03
| 2017-08-20T13:41:03
| 100,863,976
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 374
|
py
|
from permission.base import Base
class Missions(Base):
def post(self, req):
if len(req.user) == 0:
print("Hello I am in",'backend/permission/api/mission.py')
print("Hello I am in",'backend/permission/api/mission.py')
print("Hello I am in",'backend/permission/api/mission.py')
return (403, 'Permission Denied.')
|
[
"willvegapunk@gmail.com"
] |
willvegapunk@gmail.com
|
fd68c15474a48ba528dcb0a32ef1c363659d8815
|
ec85250addb7357dfe7bb3e0680d53fc7b0fd8fb
|
/examples/docs_snippets/docs_snippets/concepts/io_management/io_manager_per_output.py
|
d627cfc5ba88b917ea9413293f344a59d3d0929a
|
[
"Apache-2.0"
] |
permissive
|
dagster-io/dagster
|
6adb5deee8bcf3ea1866a6a64f2ed81e1db5e73a
|
fe21995e0402878437a828c6a4244025eac8c43b
|
refs/heads/master
| 2023-09-05T20:46:08.203794
| 2023-09-05T19:54:52
| 2023-09-05T19:54:52
| 131,619,646
| 8,565
| 1,154
|
Apache-2.0
| 2023-09-14T21:57:37
| 2018-04-30T16:30:04
|
Python
|
UTF-8
|
Python
| false
| false
| 463
|
py
|
# start_marker
from dagster_aws.s3 import S3PickleIOManager, S3Resource
from dagster import FilesystemIOManager, Out, job, op
@op(out=Out(io_manager_key="fs"))
def op_1():
return 1
@op(out=Out(io_manager_key="s3_io"))
def op_2(a):
return a + 1
@job(
resource_defs={
"fs": FilesystemIOManager(),
"s3_io": S3PickleIOManager(s3_resource=S3Resource(), s3_bucket="test-bucket"),
}
)
def my_job():
op_2(op_1())
# end_marker
|
[
"noreply@github.com"
] |
dagster-io.noreply@github.com
|
05ecad35056a282981a6bad116a1d6d83ae62119
|
d07aaccefe74ee58780c08f4d6d8fe8da85a1f5e
|
/blog/migrations/0001_initial.py
|
bbb03bbe62775e9d8b894dfa74d005bf54c8dddf
|
[] |
no_license
|
sujithgawtham/my-first-blog
|
676c98bd8d2574b7f82fd303d32e80248b92c54a
|
74b8206198332bc23f63882feddd8fbb000b3f6c
|
refs/heads/master
| 2021-01-16T17:37:37.729735
| 2017-08-11T20:08:04
| 2017-08-11T20:08:04
| 100,009,483
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,051
|
py
|
# -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-08-10 19:59
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Post',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=200)),
('text', models.TextField()),
('created_date', models.DateTimeField(default=django.utils.timezone.now)),
('published_date', models.DateTimeField(blank=True, null=True)),
('author', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
),
]
|
[
"gawtham161@gmail.com"
] |
gawtham161@gmail.com
|
c1d450efb4775d6c040c6a1385da6778e4d96224
|
4be4c5fdaa7509fbcbdfd8115819e84a7f8a4142
|
/mcazurerm/storagerp.py
|
37987b781f1e8cd5004f65b9a3f124d62b4702d0
|
[
"MIT"
] |
permissive
|
pjshi23/mcazurerm
|
a37d9ff5754d39f0b0a32f836adf68e81c5d1049
|
e17eb075ec8ffc5593e2a169c7479111478f43ee
|
refs/heads/master
| 2021-01-19T11:45:47.080124
| 2017-08-12T08:00:43
| 2017-08-12T08:00:43
| 68,885,817
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,214
|
py
|
# storagerp.py - azurerm functions for the Microsoft.Storage resource provider
from .restfns import do_delete, do_get, do_put, do_post
from .settings import azure_rm_endpoint, STORAGE_API
# create_storage_account(access_token, subscription_id, rgname, account_name, location)
# create a storage account in the specified location and resource group
# Note: just standard storage for now. Could add a storageType argument later.
def create_storage_account(access_token, subscription_id, rgname, account_name, location, storage_type='Standard_LRS'):
endpoint = ''.join([azure_rm_endpoint,
'/subscriptions/', subscription_id,
'/resourcegroups/', rgname,
'/providers/Microsoft.Storage/storageAccounts/', account_name,
'?api-version=', STORAGE_API])
body = ''.join(['{\n "location": "', location, '",\n',
' "sku": {\n "name": "', storage_type, '"\n },\n',
' "kind": "Storage"\n}'])
return do_put(endpoint, body, access_token)
# delete_storage_account(access_token, subscription_id, rgname, account_name)
# delete a storage account in the specified resource group
def delete_storage_account(access_token, subscription_id, rgname, account_name):
endpoint = ''.join([azure_rm_endpoint,
'/subscriptions/', subscription_id,
'/resourcegroups/', rgname,
'/providers/Microsoft.Storage/storageAccounts/', account_name,
'?api-version=', STORAGE_API])
return do_delete(endpoint, access_token)
# get_storage_account(access_token, subscription_id, rgname, account_name)
# get the properties for the named storage account
def get_storage_account(access_token, subscription_id, rgname, account_name):
endpoint = ''.join([azure_rm_endpoint,
'/subscriptions/', subscription_id,
'/resourcegroups/', rgname,
'/providers/Microsoft.Storage/storageAccounts/', account_name,
'?api-version=', STORAGE_API])
return do_get(endpoint, access_token)
# get_storage_account_keys(access_token, subscription_id, rgname, account_name)
# get the access keys for the specified storage account
def get_storage_account_keys(access_token, subscription_id, rgname, account_name):
endpoint = ''.join([azure_rm_endpoint,
'/subscriptions/', subscription_id,
'/resourcegroups/', rgname,
'/providers/Microsoft.Storage/storageAccounts/', account_name,
'/listKeys',
'?api-version=', STORAGE_API])
return do_post(endpoint, '', access_token)
# get_storage_usage(access_token, subscription_id)
# returns storage usage and quota information for the specified subscription
def get_storage_usage(access_token, subscription_id):
endpoint = ''.join([azure_rm_endpoint,
'/subscriptions/', subscription_id,
'/providers/Microsoft.Storage/usages',
'?api-version=', STORAGE_API])
return do_get(endpoint, access_token)
# list_storage_accounts_rg(access_token, subscription_id, rgname)
# list the storage accounts in the specified resource group
def list_storage_accounts_rg(access_token, subscription_id, rgname):
endpoint = ''.join([azure_rm_endpoint,
'/subscriptions/', subscription_id,
'/resourcegroups/', rgname,
'/providers/Microsoft.Storage/storageAccounts',
'?api-version=', STORAGE_API])
return do_get(endpoint, access_token)
# list_storage_accounts_sub(access_token, subscription_id)
# list the storage accounts in the specified subscription
def list_storage_accounts_sub(access_token, subscription_id):
endpoint = ''.join([azure_rm_endpoint,
'/subscriptions/', subscription_id,
'/providers/Microsoft.Storage/storageAccounts',
'?api-version=', STORAGE_API])
return do_get(endpoint, access_token)
|
[
"pjshi23@gmail.com"
] |
pjshi23@gmail.com
|
e232549d038b15c86e79b23335078b46e576c073
|
6f91392c15d92591a46a6d2bdb9a1b289d34b1d6
|
/common.py
|
ce040e96477acf385cb51d7d86ffdc7b7b1d4071
|
[] |
no_license
|
PaulStepanov/cm
|
9f3731a3a7a8a73d72aece821a76d5f4be408f40
|
7a7a48e7bb8fa0d52fcbd2f510bc2144305fd1ac
|
refs/heads/master
| 2020-04-07T23:27:51.152634
| 2018-12-13T09:00:55
| 2018-12-13T09:00:55
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 442
|
py
|
import matplotlib.pyplot as plt
import functools
import operator
foldl = lambda func, acc, xs: functools.reduce(func, xs, acc)
#np.arange(x0, ((n + 1) * xn / n) + h, h)
def renderDots(dots):
x_cords = []
y_cords = []
templ_str = "(%f, %f)"
for dot in dots:
x_cords.append(dot[0])
y_cords.append(dot[1])
plt.annotate(templ_str % (dot[0], dot[1]), (dot[0], dot[1]))
plt.plot(x_cords, y_cords, 'ro')
|
[
"pavelstsiapanau@gmail.com"
] |
pavelstsiapanau@gmail.com
|
b5cbc61d5070481fa9cfa55d74918563ba7ebec8
|
c0c5015b883914aad18419043f5303e20c9accec
|
/temperature conversion.py
|
3094e35fb7fb955bed9c3590cb56343934824d22
|
[] |
no_license
|
KetanMehlawat/python-programs
|
498bb65b4bc6e21cfcb58c55a08a78414b9445ed
|
b9fb71ab51c58c95eaf4241e335206032f142004
|
refs/heads/master
| 2021-07-09T03:12:50.461896
| 2017-10-08T15:22:18
| 2017-10-08T15:22:18
| 106,181,414
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,621
|
py
|
while True:
print "Press 1 to continue"
print "press 0 to exit"
ch=input("enter your choice")
if ch>1 or ch<0:
print ("please press correct button")
continue
elif ch==1:
while True:
print"Menu"
print"1.From celcius to fahrenheit"
print"2.From fahrenheit to celcius"
print"3.From celcius to kelvin"
print"4.From kelvin to celcius"
print"5.From kelvin to fahrenheit"
print"6.From fahrenheit to kelvin"
print"0.Exit"
ch=input("enter your choice ")
if ch<0 or ch>6:
print"please enter correct choice"
continue
elif ch==1:
t=input("temperature in celcius ")
f=((9/5.0)*t)+32
print "temperature in fahrenheit is ",f
elif ch==2:
t=input("temperature in fahrenheit ")
c=((t-32.0)*(5/9.0))
print "temperature in celcius is ",c
elif ch==3:
t=input("temperature in celcius ")
k=t+273.0
print "temperature in kelvin is ",k
elif ch==4:
t=input("temperature in kelvin ")
c=t-273.0
print "temperatur in celcius is ",c
elif ch==5:
t=input("temperature in kelvin ")
f=((9/5.0)*t)+32
print "temperature in fahrenheit is ",f
elif ch==6:
t=input("temperature in fahrenheit ")
k=((t-32)*(5/9.0))+273
print "temperature in kelvin is ",k
else:
break
else:
break
|
[
"noreply@github.com"
] |
KetanMehlawat.noreply@github.com
|
1986203ba846dec6136fa59520cacf477d9dd1b3
|
3e66a5089d386fe0988201ff132446ec9bd04c9d
|
/M2 ICP7/Source/ICP7/Decisiontree.py
|
0d33e93a9a4345ca5e8666be19939fdba7427d0b
|
[] |
no_license
|
Joshmitha307/BDP
|
b2f3a09cacb4a8f85f431d93e22dc16e3ccbf556
|
bbdabc8ed76ddcce055e5b03bf6d666037da156d
|
refs/heads/master
| 2020-07-09T19:50:26.974088
| 2019-12-08T04:22:24
| 2019-12-08T04:22:24
| 204,067,259
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,858
|
py
|
from pyspark.sql import SparkSession
from pyspark.ml.classification import DecisionTreeClassifier
from pyspark.ml.evaluation import MulticlassClassificationEvaluator
from pyspark.ml.feature import VectorAssembler
from pyspark.mllib.evaluation import MulticlassMetrics
from pyspark.ml.feature import StringIndexer
from pyspark.sql.functions import col
import sys
import os
os.environ["SPARK_HOME"] = "C:\spark-2.4.3-bin-hadoop2.7"
os.environ["HADOOP_HOME"]="C:\\winutils"
# Creating spark session
spark = SparkSession.builder.appName("ICP7").getOrCreate()
spark.sparkContext.setLogLevel("ERROR")
# Define input path
input_path = "C:\\Users\\Anusha Reddy\\PycharmProjects\\Lab"
# Load data and select feature and label columns
data = spark.read.format("csv").option("header", True).option("inferSchema", True).option("delimiter", ",").load(input_path + "\\adult.csv")
data = data.withColumnRenamed("age", "label").select("label", col("education-num").alias("education-num"), col(" hours-per-week").alias("hours-per-week"),col(" education").alias("education"),col(" fnlwgt").alias("fnlwgt"),col(" sex").alias("sex"),col(" relationship").alias("relationship"))
data = data.select(data.label.cast("double"),"education-num", "hours-per-week","education","sex","fnlwgt","relationship")
new_data=data.toDF("label","education-num","hours-per-week","education","sex","fnlwgt","relationship")
indexer = StringIndexer(inputCol="education", outputCol="new_education")
indexed = indexer.fit(new_data).transform(new_data)
indexer1 = StringIndexer(inputCol="sex", outputCol="new_sex")
indexed1 = indexer1.fit(indexed).transform(indexed)
indexer2= StringIndexer(inputCol="relationship",outputCol="new_rel")
indexed2= indexer2.fit(indexed1).transform(indexed1)
indexed2=indexed2.drop("sex","education","relationship")
indexed2.show()
# Create vector assembler for feature columns
assembler = VectorAssembler(inputCols=indexed2.columns[1:], outputCol="features")
data = assembler.transform(indexed2)
# Split data into training and test data set
training, test = data.select("label", "features").randomSplit([0.6, 0.4])
# Create Decision tree model and fit the model with training dataset
dt = DecisionTreeClassifier()
model = dt.fit(training)
# Generate prediction from test dataset
predictions = model.transform(test)
# Evaluating the accuracy of the model
evaluator = MulticlassClassificationEvaluator()
accuracy = evaluator.evaluate(predictions)
# Show model accuracy
print("Accuracy:", accuracy)
# Report
predictionAndLabels = predictions.select("label", "prediction").rdd
metrics = MulticlassMetrics(predictionAndLabels)
print("Confusion Matrix:", metrics.confusionMatrix())
print("Precision:", metrics.precision())
print("Recall:", metrics.recall())
print("F-measure:", metrics.fMeasure())
|
[
"joshmithat96@gmail.com"
] |
joshmithat96@gmail.com
|
05f8680d84d197f63304d082bcbd975140250ff5
|
5dd711fc63f1f005aa16c2dc07faae310feb8e92
|
/zabbixapi.py
|
6ec1510015c2ca962212e7038e41e330aab22ec6
|
[
"MIT"
] |
permissive
|
mojunneng/zabbixapi
|
fd8818b87116dcc623cac0f9526ec38ae260a76e
|
993446dd8269604012c69691086c22df457b706e
|
refs/heads/master
| 2020-04-26T23:23:56.208878
| 2018-01-26T08:10:10
| 2018-01-26T08:10:10
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 13,062
|
py
|
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import json
import time
import requests
import os
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
# zabbix认证信息
zabbix_url = "http://52.80.127.55/zabbix/api_jsonrpc.php"
zabbix_username = "Admin"
zabbix_password = "zabbix"
#全局变量定义
local_path = os.path.split(os.path.realpath(__file__))[0]
log_file = local_path + os.path.sep + "log_zabbixapi.log"
headers = {"Content-Type": "application/json"}
#记录日志模块
def log(data):
file = open(log_file, 'a+')
date = time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time()))
try:
file.write("%s %s" %(date,data)+'\n')
finally:
file.close()
#zabbix登陆
def zabbix_login():
try:
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "user.login",
"params": {
"user": zabbix_username,
"password": zabbix_password
},
"id": 0
})
request_data = requests.post(zabbix_url, data=data, headers=headers)
return json.loads(request_data.text)['result']
except BaseException,e:
log("zabbix_login: %s" %e)
return "error"
#zabbix退出
def zabbix_logout(token):
try:
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "user.logout",
"params": [],
"id": 0,
"auth": token
})
request_data = requests.post(zabbix_url, data=data, headers=headers)
result = json.loads(request_data.text)['result']
if result:
return "ok"
else:
log("登出失败，原因：%s" %e)
return "error"
except BaseException,e:
log("zabbix_logout: %s" %e)
return "error"
#获取主机组id
def get_group_id(group_name):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "hostgroup.get",
"params": {
"output": "extend",
"filter": {
"name": [
group_name
]
}
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
group_id = json.loads(request.text)['result']
if len(group_id) == 0:
return "null"
else:
return group_id[0]['groupid']
except BaseException,e:
log("get_group_id: %s" %e)
return "error"
finally:
zabbix_logout(token)
#创建服务器组
def create_group(group_name):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "hostgroup.create",
"params": {
"name": group_name
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
group_id = json.loads(request.text)['result']['groupids'][0]
return group_id
except BaseException,e:
log("create_group: %s" %e)
return "error"
finally:
zabbix_logout(token)
#获取模板id
def get_template_id(template_name):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "template.get",
"params": {
"output": "extend",
"filter": {
"host": [
template_name
]
}
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
template_id = json.loads(request.text)['result'][0]['templateid']
return template_id
except BaseException,e:
log('get_template_id: %s' %e)
return "error"
finally:
zabbix_logout(token)
#创建主机
def create_host(host_name,group_name,host_ip,host_port,template_name):
try:
token = zabbix_login()
template_id = get_template_id(template_name)
if template_id == "error":
return "error"
group_id = get_group_id(group_name)
if group_id == "error":
return "error"
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "host.create",
"params": {
"host": host_name,
"interfaces": [
{
"type": 1,
"main": 1,
"useip": 1,
"ip": host_ip,
"dns": "",
"port": host_port
}
],
"groups": [
{
"groupid": group_id
}
],
"templates": [
{
"templateid": template_id
}
],
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
host_id = json.loads(request.text)['result']['hostids'][0]
return host_id
except BaseException,e:
log('create_host: %s' %e)
return "error"
finally:
zabbix_logout(token)
#删除主机
def delete_host(host_id):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "host.delete",
"params": [
host_id
],
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
host_id_deleted = json.loads(request.text)['result']['hostids'][0]
if host_id_deleted == host_id:
return "ok"
else:
log('delete_host: failed %s' %request.text)
return "failed"
except BaseException,e:
log('delete_host: %s' %e)
return "error"
#获取主机状态（监控状态是否正常）
def get_host_status(hostid):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "host.get",
"params": {
"output": ["available"],
"hostids": hostid
},
"id": 0,
"auth": token
})
request = requests.post(zabbix_url, data=data, headers=headers)
host_status = json.loads(request.text)['result'][0]['available']
if host_status == '1':
return "available"
else:
return "unavailable"
except BaseException,e:
log('get_host_status: %s' %e)
return "error"
finally:
zabbix_logout(token)
#根据监控名获取监控项最新值
def get_item_value_name(host_id, item_name):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "item.get",
"params": {
"output": "extend",
"hostids": host_id,
"search": {
"name": item_name
},
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
last_value = json.loads(request.text)['result'][0]['lastvalue']
return last_value
except BaseException,e:
log('get_item_value_name: %s' %e)
return "error"
finally:
zabbix_logout(token)
#根据监控项键值获取监控项最新值
def get_item_value_key(host_id, item_name):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "item.get",
"params": {
"output": "extend",
"hostids": host_id,
"search": {
"key_": item_name
},
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
last_value = json.loads(request.text)['result'][0]['lastvalue']
return last_value
except BaseException,e:
log('get_item_value_key: %s' %e)
return "error"
finally:
zabbix_logout(token)
#获取某个主机组下所有主机id
def get_group_hosts_id(group_name):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "hostgroup.get",
"params": {
"selectHosts": "hostid",
"filter": {
"name": [
group_name
]
}
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
hosts = json.loads(request.text)['result'][0]['hosts']
host_id_list = []
for host_id in hosts:
host_id_list.append(host_id)
return host_id_list
except BaseException,e:
log('get_group_hosts_id %s' %e)
return "error"
finally:
zabbix_logout(token)
#获取主机的监控项数
def get_host_item_num(host_id):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "item.get",
"params": {
"hostids": host_id,
"countOutput": "true",
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
item_num = json.loads(request.text)['result']
return item_num
except BaseException,e:
log('get_item_num: %s' %e)
return "error"
finally:
zabbix_logout(token)
#获取主机的自发现规则id列表
def get_LLD_ids(host_id):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "discoveryrule.get",
"params": {
"output": "extend",
"hostids": host_id
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
item_ids = json.loads(request.text)['result']
lld_id_list = []
for item_id in item_ids:
lld_id_list.append(item_id['itemid'])
return lld_id_list
except BaseException,e:
log('get_LLD_ids: %s' %e)
return "error"
finally:
zabbix_logout(token)
#开启某个主机的自发现规则
def LLD_on(item_id, host_id):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "discoveryrule.update",
"params": {
"itemid": item_id,
"hostids": host_id,
"status": 0
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
item_result = json.loads(request.text)['result']['itemids']
if len(item_result) != 0:
return "ok"
else:
return "failed"
except BaseException,e:
log('LLD_on: %s' %e)
return "error"
finally:
zabbix_logout(token)
#关闭某个主机的自发现规则
def LLD_off(item_id, host_id):
try:
token = zabbix_login()
data = json.dumps(
{
"jsonrpc": "2.0",
"method": "discoveryrule.update",
"params": {
"itemid": item_id,
"hostids": host_id,
"status": 1
},
"auth": token,
"id": 0
})
request = requests.post(zabbix_url, data=data, headers=headers)
lld_result = json.loads(request.text)['result']['itemids']
if len(lld_result) != 0:
return "ok"
else:
return "failed"
except BaseException,e:
log('LLD_off: %s' %e)
return "error"
finally:
zabbix_logout(token)
|
[
"zhenglisai@126.com"
] |
zhenglisai@126.com
|
1a805958afcbe383dc5cc29fa109a76bb53df482
|
de24f83a5e3768a2638ebcf13cbe717e75740168
|
/moodledata/vpl_data/217/usersdata/267/113215/submittedfiles/av2_p3_m2.py
|
520578eac65d6d93a9e155c6f0915e7cad14a53b
|
[] |
no_license
|
rafaelperazzo/programacao-web
|
95643423a35c44613b0f64bed05bd34780fe2436
|
170dd5440afb9ee68a973f3de13a99aa4c735d79
|
refs/heads/master
| 2021-01-12T14:06:25.773146
| 2017-12-22T16:05:45
| 2017-12-22T16:05:45
| 69,566,344
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,203
|
py
|
# -*- coding: utf-8 -*-
import numpy as np
#FUNÇÃO
def Ldiferente(a,valorsoma):
for i in range(0,n,1):
soma=0
for j in range(0,n,1):
soma=soma+a[i,j]
if valorsoma!=soma:
return(i)
def Cdiferente(a,valorsoma):
for j in range(0,n,1):
soma=0
for i in range(0,n,1):
soma=soma+a[i,j]
if valorsoma!=soma:
return(j)
def valorsoma(a):
A=0
B=0
C=0
for i in range(0,n-2,1):
for j in range(0,n,1):
A=A+a[i,j]
B=B+a[i+1,j]
C=C+a[i+2,j]
if A==B:
return(A)
if A==C:
return(A)
if B==C:
return(B)
#PROGRAMA PRINCIPAL
n=0
while n<3:
n=int(input('Digite a dimensão da matriz: '))
matriz=np.zeros((n,n))
for i in range(0,n,1):
for j in range(0,n,1):
matriz[i,j]=int(input('Digite o valor da posição %d%d: '%(i+1,j+1)))
valor=valorsoma(matriz)
linha=Ldiferente(matriz,valor)
coluna=Cdiferente(matriz,valor)
soma=0
for i in range(0,n,1):
soma=soma+matriz[linha,i]
erro=matriz[linha,coluna]
original=valor-(soma-erro)
print(original)
print(erro)
|
[
"rafael.mota@ufca.edu.br"
] |
rafael.mota@ufca.edu.br
|
49298219e3aeca8791c90ee9b3151741ec09fcff
|
2838c2b60402cfb5c67276318f3b1129345eff90
|
/smbio/interface.py
|
a33b480aeeb3c9da8ed6cefc85958b933707495e
|
[
"BSD-3-Clause"
] |
permissive
|
Ryex/i2c-alarmpy
|
7a92a83f34950c0e01e27846133fa130283ae404
|
83c613e832bdb131298880b9eef387d9c52fcd3a
|
refs/heads/master
| 2016-08-12T13:31:38.564725
| 2015-12-19T01:34:59
| 2015-12-19T01:34:59
| 46,528,534
| 2
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,277
|
py
|
import time
import re
from .smb import Peripheral
class Keypad4x4Matrix(Peripheral):
DIRECTION = -1
DATAMAP = Peripheral.datamap()
DATAMAP["upsidedown"] = "bool"
DATAMAP["repeat"] = "int"
DATAMAP["timeout"] = "int"
DATAMAP["beep"] = "bool"
MATRIX = [['1', '2', '3', 'A'],
['4', '5', '6', 'B'],
['7', '8', '9', 'C'],
['*', '0', '#', 'D']]
KEYCOL = [0b0111, 0b1011, 0b1101, 0b1110]
DECODE = {
0b0111: 0,
0b1011: 1,
0b1101: 2,
0b1110: 3}
CODE_RE = re.compile("^\*(.+?)#$")
def __check_matrix(self, matrix):
try:
for x in range(4):
for y in range(4):
matrix[x][y]
except IndexError:
raise ValueError("matrix must be 4x4")
def init(self):
if "upsidedown" in self.data:
self.upsidedown = bool(int(self.data["upsidedown"]))
else:
self.upsidedown = False
if "repeat" in self.data:
self.repeat = int(self.data["repeat"])
else:
self.repeat = 100
if "timeout" in self.data:
self.timeout = int(self.data["timeout"])
else:
self.timeout = 30
self.matrix = Keypad4x4Matrix.MATRIX
self.__check_matrix(self.matrix)
self.ensure_mode()
self.last_t = time.time()
self.last_s = ""
self.in_string = ""
def ensure_mode(self):
if self.io.get_mode() != 0xF0:
self.io.set_mode(0xF0) # upper 4 bits are inputs
if self.io.get_pullup():
self.io.set_pullup(0xF0) # enable upper 4 bits pullups
def read(self):
self.ensure_mode()
for col in range(0, 4):
time.sleep(0.01)
self.io.write_out(self.KEYCOL[col]) # write 0 to lowest four bits
key = self.io.read_in() >> 4
if key in self.DECODE:
row = self.DECODE[key]
if self.upsidedown:
return self.matrix[row][col] # keypad right side up
else:
return self.matrix[3 - col][3 - row] # keypad upside down
return ""
def update_input(self):
s = self.read()
now = time.time()
if s:
flag = False
if self.last_s:
if s == self.last_s:
if (now - self.last_t) * 1000 > self.repeat:
flag = True
else:
flag = True
else:
flag = True
if flag:
self.last_s = s
self.last_t = now
self.in_string += s
print("INPUT:", s, self.in_string, flush=True)
self.message("beep")
else:
if now - self.last_t > self.timeout:
self.in_string = ""
self.last_s = ""
self.last_t = now
def get_code(self, code):
match = self.CODE_RE.match(code)
if match:
self.in_string = ""
return match.group(1)
return None
def update(self):
self.update_input()
return {"input": self.get_code(self.in_string)}
|
[
"ryexander@gmail.com"
] |
ryexander@gmail.com
|
e389bfb07bd28dd31c6906e8e412d593f5754b24
|
d9de59f274ec89ed868891c9c4f9b84b7d347384
|
/first_app/views.py
|
5867a4319bfead8e329bd9b93c7c3378fa1da258
|
[] |
no_license
|
Olivier-Patrick/master_django
|
dda6214c6217fb3727563f445a0b9bd804057d37
|
046c72ec5f0267ebab0b1d718c0dd0b6f68c6f27
|
refs/heads/master
| 2022-04-27T01:16:08.786574
| 2020-04-16T21:20:16
| 2020-04-16T21:20:16
| 256,332,008
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 387
|
py
|
# pylint: disable=no-member
from django.shortcuts import render
from django.http import HttpResponse
from first_app.models import Topic, Webpage, AccessRecord
# Create your views here.
def index(request):
webpages_list = AccessRecord.objects.order_by('date')
date_dic = {'access_records': webpages_list}
return render(request, 'first_app/index.html', context= date_dic)
|
[
"gopatrik8@gmail.com"
] |
gopatrik8@gmail.com
|
363527ebe0e57e884e5b58ae3336bac79dc85662
|
ff38e616cc73c5b139205f9b4b26517edeafcf70
|
/prediksicovidjatim/config.py
|
91af34dce6725e833a1be81625fa655d04f72803
|
[
"MIT"
] |
permissive
|
prediksicovidjatim/prediksicovidjatim-core
|
4319b048b8c9c981a4cd27e1b6eb2085e8faf301
|
e0be4b86d98e1f628852ec627bb1a5b406efb923
|
refs/heads/master
| 2022-12-03T09:19:14.863661
| 2020-08-19T09:22:10
| 2020-08-19T09:22:10
| 282,635,624
| 0
| 1
|
MIT
| 2020-08-19T09:22:11
| 2020-07-26T11:28:22
| null |
UTF-8
|
Python
| false
| false
| 1,219
|
py
|
import matplotlib
import matplotlib.pyplot as plt
FONT_SMALL = 12
FONT_MEDIUM = 14
FONT_BIG = 16
FIG_SIZE = (13,8)
LINE_WIDTH = 2
FLOAT_TOLERANCE=1e-7
FIRST_TANGGAL = "2020-03-20"
PREDICT_DAYS = 30
def init_plot(font_small=None, font_medium=None, font_big=None, fig_size=None, line_width=None):
global FONT_SMALL
global FONT_MEDIUM
global FONT_BIG
global FIG_SIZE
global LINE_WIDTH
font_small = font_small or FONT_SMALL
font_medium = font_medium or FONT_MEDIUM
font_big = font_big or FONT_BIG
fig_size = fig_size or FIG_SIZE
line_width = line_width or LINE_WIDTH
plt.rc('font', size=font_small) # controls default text sizes
plt.rc('axes', titlesize=font_small) # fontsize of the axes title
plt.rc('axes', labelsize=font_medium) # fontsize of the x and y labels
plt.rc('xtick', labelsize=font_small) # fontsize of the tick labels
plt.rc('ytick', labelsize=font_small) # fontsize of the tick labels
plt.rc('legend', fontsize=font_medium) # legend fontsize
plt.rc('figure', titlesize=font_big) # fontsize of the figure title
plt.rc('figure', figsize=fig_size)
plt.rc('lines', linewidth=line_width)
|
[
"rizqinur2010@gmail.com"
] |
rizqinur2010@gmail.com
|
c9e7229486d218cf9a6fbba78ee81bc0bb9c6479
|
aa641d59ea282e12a603d463e4396e3a6ce6ab19
|
/fitlanecal/tests/fitlanecal_test.py
|
17989330d0e03b5c493ab8748af67832907d0819
|
[] |
no_license
|
paraita/fitlanecal
|
440f72827f8932de52228d92c5923bc8b911732e
|
f5708217ae4c307901904bfb849dd738443c3b0c
|
refs/heads/master
| 2020-12-25T20:42:03.927929
| 2016-02-22T20:46:03
| 2016-02-22T20:46:03
| 43,499,292
| 0
| 0
| null | 2016-02-20T22:10:10
| 2015-10-01T13:54:50
|
HTML
|
UTF-8
|
Python
| false
| false
| 5,887
|
py
|
from mock import patch
from fitlanecal import *
def course_name_test():
assert course_name('11') == 'Body Combat'
assert course_name('tamure') == '???'
def club_name_test():
assert club_name('nice-centre') == 'Nice Centre'
assert club_name('aito-gym') == 'Nice Centre'
assert club_name('') == 'Nice Centre'
@patch('fitlanecal.course_name')
def sanitize_course_name_test_mocked(mocked):
mocked.return_value = "dumb"
str_test1 = "/site/uploaded/cours/cours_logo_11.jpg"
str_test2 = "/site/uploaded/cours/cours_logo_11"
str_test3 = "11.jpg"
str_test4 = "11"
str_test5 = ""
str_test6 = "/site/uploaded/cours/cours_logo_.jpg"
assert sanitize_course_name(str_test1) == "dumb"
assert sanitize_course_name(str_test2) == "dumb"
assert sanitize_course_name(str_test3) == "dumb"
assert sanitize_course_name(str_test4) == "dumb"
assert sanitize_course_name(str_test5) == "dumb"
assert sanitize_course_name(str_test6) == "dumb"
def sanitize_course_name_test():
str_test1 = "/site/uploaded/cours/cours_logo_11.jpg"
str_test2 = "/site/uploaded/cours/cours_logo_11"
str_test3 = "11.jpg"
str_test4 = "11"
str_test5 = ""
str_test6 = "/site/uploaded/cours/cours_logo_.jpg"
assert sanitize_course_name(str_test1) == "Body Combat"
assert sanitize_course_name(str_test2) == "Body Combat"
assert sanitize_course_name(str_test3) == "Body Combat"
assert sanitize_course_name(str_test4) == "Body Combat"
assert sanitize_course_name(str_test5) == "???"
assert sanitize_course_name(str_test6) == "???"
def fetch_courses_on_test():
basepath = os.path.dirname(__file__)
orig_path = os.path.abspath(os.path.join(basepath,"resources","fitlane-planning-test.html"))
expected_path = os.path.abspath(os.path.join(basepath,"resources","expected_fetch_courses_on_test.txt"))
fd_fitlane = open(orig_path,"r")
fd_expected = open(expected_path,"r")
content_fitlane = fd_fitlane.read()
content_expected = fd_expected.read()
tree = html.fromstring(content_fitlane)
res = fetch_courses_on(tree, 'Lundi')
assert str(res) == content_expected
@patch('fitlanecal.fetch_html_from_club')
def fetch_all_courses_at_club_test(mocked):
basepath = os.path.dirname(__file__)
orig_path = os.path.abspath(os.path.join(basepath,"resources","fitlane-planning-test.html"))
expected_path = os.path.abspath(os.path.join(basepath,"resources","expected_fetch_all_courses_test.txt"))
fd_fitlane = open(orig_path,"r")
fd_expected = open(expected_path, "r")
content_expected = fd_expected.read()
mocked.return_value = html.fromstring(fd_fitlane.read())
res = str(fetch_all_courses_at_club('COLLECTIF',"Nice Centre"))
print '----------------------'
print res
print '----------------------'
assert res == content_expected
def delta_time_duration_test():
assert delta_time_duration("1h") == (1,0)
assert delta_time_duration(" 1h") == (1,0)
assert delta_time_duration("1h ") == (1,0)
assert delta_time_duration(" 1h ") == (1,0)
assert delta_time_duration("1 h") == (1,0)
assert delta_time_duration("1 h ") == (1,0)
assert delta_time_duration("1h30") == (1,30)
assert delta_time_duration(" 1h30") == (1,30)
assert delta_time_duration("1 h30") == (1,30)
assert delta_time_duration("1h 30") == (1,30)
assert delta_time_duration("1h30 ") == (1,30)
assert delta_time_duration(" 1 h 30 ") == (1,30)
assert delta_time_duration("45min") == (0,45)
assert delta_time_duration(" 45min") == (0,45)
assert delta_time_duration("45 min") == (0,45)
assert delta_time_duration(" 45 min") == (0,45)
assert delta_time_duration("45min ") == (0,45)
assert delta_time_duration(" 45min ") == (0,45)
assert delta_time_duration(" 45 min ") == (0,45)
assert delta_time_duration("Stretching / 1h") == (1,0)
assert delta_time_duration("level 1 45min") == (0,45)
assert delta_time_duration("level 1 45 min") == (0,45)
assert delta_time_duration("") == (1,0)
@patch('fitlanecal.fetch_html_from_club')
def get_calendar_at_club_test(mocked):
basepath = os.path.dirname(__file__)
orig_path = os.path.abspath(os.path.join(basepath,"resources","fitlane-planning-test.html"))
expected_path = os.path.abspath(os.path.join(basepath,"resources","expected_calendar_test.txt"))
fd_fitlane = open(orig_path,"r")
fd_expected = open(expected_path, "r")
content_expected = fd_expected.read()
mocked.return_value = html.fromstring(fd_fitlane.read())
content_actual = get_calendar_at_club('nice-centre')
print '-------------'
print content_actual
print '-------------'
assert content_actual == content_expected
# def get_calendar_at_club_Cannes_Carnot_test():
# assert str(get_calendar_at_club('cannes-carnot')) > 0
#
#
# def get_calendar_at_club_Cannes_Gare_test():
# assert str(get_calendar_at_club('cannes-gare')) > 0
#
#
# def get_calendar_at_club_Cannes_La_Bocca_test():
# assert str(get_calendar_at_club('cannes-la-bocca')) > 0
#
#
# def get_calendar_at_club_Juan_Les_Pins_test():
# assert str(get_calendar_at_club('juan-les-pins')) > 0
#
#
# def get_calendar_at_club_Mandelieu_test():
# assert str(get_calendar_at_club('mandelieu')) > 0
#
#
# def get_calendar_at_club_Nice_Centre_test():
# assert str(get_calendar_at_club('nice-centre')) > 0
#
#
# def get_calendar_at_club_Nice_St_Isidore_test():
# assert str(get_calendar_at_club('nice-st-isidore')) > 0
#
#
# def get_calendar_at_club_Sophia_Antipolis_test():
# assert str(get_calendar_at_club('sophia-antipolis')) > 0
#
#
# def get_calendar_at_club_Villeneuve_Loubet_test():
# assert str(get_calendar_at_club('villeneuve-loubet')) > 0
#
#
# def get_calendar_at_club_Villeneuve_A8_test():
# assert str(get_calendar_at_club('villeneuve-A8')) > 0
|
[
"milkyboi@gmail.com"
] |
milkyboi@gmail.com
|
12bbf196468a074a4a8c3836d80fd7d841d193f5
|
10c01319a25b4acc0912f523093bd97d15232a8a
|
/setup.py
|
2ed999f8bb53aa0d1aa0ff1a868cee1e602c26d1
|
[
"MIT"
] |
permissive
|
klukosiute/MOSFiT
|
0c8620ce34ff4d26235fbc7a656dd4b7aec6407e
|
4bc6c74f4b592e4f023aad69fd17fe95078d518d
|
refs/heads/master
| 2020-03-31T19:12:12.953770
| 2018-10-12T21:31:17
| 2018-10-12T21:31:17
| 152,488,198
| 0
| 0
|
MIT
| 2018-10-10T20:50:55
| 2018-10-10T20:50:54
| null |
UTF-8
|
Python
| false
| false
| 2,366
|
py
|
"""Setup script for MOSFiT."""
import fnmatch
import os
import re
from setuptools import find_packages, setup
with open(os.path.join('mosfit', 'requirements.txt')) as f:
required = f.read().splitlines()
with open(os.path.join('mosfit', 'dependencies.txt')) as f:
dependencies = f.read().splitlines()
dir_path = os.path.dirname(os.path.realpath(__file__))
init_string = open(os.path.join(dir_path, 'mosfit', '__init__.py')).read()
VERS = r"^__version__ = ['\"]([^'\"]*)['\"]"
mo = re.search(VERS, init_string, re.M)
__version__ = mo.group(1)
AUTH = r"^__author__ = ['\"]([^'\"]*)['\"]"
mo = re.search(AUTH, init_string, re.M)
__author__ = mo.group(1)
LICE = r"^__license__ = ['\"]([^'\"]*)['\"]"
mo = re.search(LICE, init_string, re.M)
__license__ = mo.group(1)
matches = []
for root, dirnames, filenames in os.walk('mosfit'):
for filename in fnmatch.filter(filenames, '*.pyx'):
matches.append(os.path.join(root, filename))
try:
import pypandoc
with open('README.md', 'r') as f:
txt = f.read()
txt = re.sub('<[^<]+>', '', txt)
long_description = pypandoc.convert(txt, 'rst', 'md')
except ImportError:
long_description = open('README.md').read()
setup(
name='mosfit',
packages=find_packages(),
entry_points={'console_scripts': [
'mosfit = mosfit.main:main'
]},
include_package_data=True,
version=__version__, # noqa
description=('Modular software for fitting '
'semi-analytical model predictions to observed '
'astronomical transient data.'),
license=__license__, # noqa
author=__author__, # noqa
author_email='guillochon@gmail.com',
install_requires=required,
dependency_links=dependencies,
url='https://github.com/guillochon/mosfit',
download_url=(
'https://github.com/guillochon/mosfit/tarball/' + __version__), # noqa
keywords=['astronomy', 'fitting', 'monte carlo', 'modeling'],
long_description=long_description,
classifiers=[
'Development Status :: 5 - Production/Stable',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering :: Astronomy',
'Topic :: Scientific/Engineering :: Physics'
])
|
[
"guillochon@gmail.com"
] |
guillochon@gmail.com
|
a0847b019b7f8306023ca7019fc09a6d8e70804a
|
af27baf72b50a3b2333325b7e67806a1895f5820
|
/docs/conf.py
|
c804cfb52c4fd3c11cf90cd37cf5b1c35cefdcf5
|
[] |
no_license
|
dschor5/unit_test
|
5a77da4b72448a61668908929861b13b0decff0c
|
0ed00365b4a33c92bd14ed02d4d616bb2df8328a
|
refs/heads/main
| 2023-02-15T11:15:20.737159
| 2021-01-04T19:50:13
| 2021-01-04T19:50:13
| 324,447,741
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,486
|
py
|
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
import os
import sys
sys.path.insert(0, os.path.abspath('../source/'))
# -- Project information -----------------------------------------------------
project = 'unit_test'
copyright = '2021, Dario Schor'
author = 'Dario Schor'
# The full version, including alpha/beta/rc tags
release = '1.0'
# -- General configuration ---------------------------------------------------
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.todo',
'sphinx.ext.mathjax',
'sphinx.ext.doctest',
'sphinx.ext.coverage',
'sphinx.ext.napoleon',
'sphinx.ext.graphviz'
]
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This pattern also affects html_static_path and html_extra_path.
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
# -- Options for HTML output -------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# -- Extension configuration -------------------------------------------------
napoleon_google_docstring = True
napoleon_numpy_docstring = False
# -- Options for todo extension ----------------------------------------------
autoapi_dirs = ['../source/calculator']
# If true, `todo` and `todoList` produce output, else they produce nothing.
todo_include_todos = True
|
[
"dario.schor@und.edu"
] |
dario.schor@und.edu
|
8324a111bb42cc6b2af0226dce01cf06204ed2bd
|
fa5378bbbea53e3896c74798286e3323d4dbd7b2
|
/python3/1_6-aaah.py
|
f07b758112bac2a3ca389708a388236d82cb6107
|
[] |
no_license
|
ongaaron96/kattis-solutions
|
150abaab6b223164eef37381d1d5680338e0c9c9
|
ca059b830891113185667724e0a0c02faf7cbefe
|
refs/heads/main
| 2023-04-16T09:33:32.574335
| 2021-04-25T12:35:36
| 2021-04-25T12:35:36
| 359,774,473
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 67
|
py
|
if len(input()) >= len(input()):
print("go")
else:
print("no")
|
[
"ong.aaron96@gmail.com"
] |
ong.aaron96@gmail.com
|
ca91272814abf57325250fae6fc0dd6c58ea68b4
|
2762d9956ab9b79d973c0a9d1082a200c8d088ec
|
/CLI-py.py
|
daf1debfeac7ce97dba8247ed9e11e7e142864ab
|
[] |
no_license
|
PresentJay/py-cli-test
|
7361c457f8348b9f4eb8f0cc9365c75ee6e6006a
|
1632329729a97169ab6ba41ddc7d27c564a1b733
|
refs/heads/master
| 2022-11-17T11:17:31.494744
| 2020-07-14T23:08:57
| 2020-07-14T23:08:57
| 279,513,092
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 5,301
|
py
|
import os
import re
import click
import six
from PyInquirer import (Token, ValidationError, Validator, print_json, prompt,
style_from_dict)
from pyfiglet import figlet_format
try:
import colorama
colorama.init()
except ImportError:
colorama = None
try:
from termcolor import colored
except ImportError:
colored = None
style = style_from_dict({
Token.QuestionMark: '#fac731 bold',
Token.Answer: '#4688f1 bold',
Token.Instruction: '', # default
Token.Separator: '#cc5454',
Token.Selected: '#0abf5b', # default
Token.Pointer: '#673ab7 bold',
Token.Question: '',
})
def getContentType(answer, conttype):
return answer.get("content_type").lower() == conttype.lower()
def log(string, color, font="slant", figlet=False):
if colored:
if not figlet:
six.print_(colored(string, color))
else:
six.print_(colored(figlet_format(
string, font=font), color))
else:
six.print_(string)
class EmailValidator(Validator):
pattern = r"\"?([-a-zA-Z0-9.`?{}]+@\w+\.\w+)\"?"
def validate(self, email):
if len(email.text):
if re.match(self.pattern, email.text):
return True
else:
raise ValidationError(
message="Invalid email",
cursor_position=len(email.text))
else:
raise ValidationError(
message="You can't leave this blank",
cursor_position=len(email.text))
class EmptyValidator(Validator):
def validate(self, value):
if len(value.text):
return True
else:
raise ValidationError(
message="You can't leave this blank",
cursor_position=len(value.text))
class FilePathValidator(Validator):
def validate(self, value):
if len(value.text):
if os.path.isfile(value.text):
return True
else:
raise ValidationError(
message="File not found",
cursor_position=len(value.text))
else:
raise ValidationError(
message="You can't leave this blank",
cursor_position=len(value.text))
class APIKEYValidator(Validator):
def validate(self, value):
if len(value.text):
sg = sendgrid.SendGridAPIClient(
api_key=value.text)
try:
response = sg.client.api_keys._(value.text).get()
if response.status_code == 200:
return True
except:
raise ValidationError(
message="There is an error with the API Key!",
cursor_position=len(value.text))
else:
raise ValidationError(
message="You can't leave this blank",
cursor_position=len(value.text))
def askAPIKEY():
questions = [
{
'type': 'input',
'name': 'api_key',
'message': 'Enter SendGrid API Key (Only needed to provide once)',
'validate': APIKEYValidator,
},
]
answers = prompt(questions, style=style)
return answers
def askEmailInformation():
questions = [
{
'type': 'input',
'name': 'to_email',
'message': 'To Email',
'validate': EmailValidator
},
{
'type': 'input',
'name': 'subject',
'message': 'Subject',
'validate': EmptyValidator
},
{
'type': 'list',
'name': 'content_type',
'message': 'Content Type:',
'choices': ['Text', 'HTML'],
'filter': lambda val: val.lower()
},
{
'type': 'input',
'name': 'content',
'message': 'Enter plain text:',
'when': lambda answers: getContentType(answers, "text"),
'validate': EmptyValidator
},
{
'type': 'confirm',
'name': 'confirm_content',
'message': 'Do you want to send an html file',
'when': lambda answers: getContentType(answers, "html")
},
{
'type': 'input',
'name': 'content',
'message': 'Enter html:',
'when': lambda answers: not answers.get("confirm_content", True),
'validate': EmptyValidator
},
{
'type': 'input',
'name': 'content',
'message': 'Enter html path:',
'validate': FilePathValidator,
'filter': lambda val: open(val).read(),
'when': lambda answers: answers.get("confirm_content", False)
},
{
'type': 'confirm',
'name': 'send',
'message': 'Do you want to send now'
}
]
answers = prompt(questions, style=style)
return answers
@click.command()
def main():
"""
Simple CLI for sending emails using SendGrid
"""
log("Email CLI", color="blue", figlet=True)
log("Welcome to Email CLI", "green")
mailinfo = askEmailInformation()
if __name__ == '__main__':
main()
|
[
"PresentJay@Etri.re.kr"
] |
PresentJay@Etri.re.kr
|
9a135fa65eab479380e7f77a1adde1e20bfc8591
|
36f6bc738de593e8a76ba2af6715b956c7f72ff7
|
/yahtzee.py
|
2ced1a7ee98a0be99f83386649ef629dcab8a779
|
[] |
no_license
|
jmullen2782/projects
|
18e0498394763aea5787a892373c463856bb41f5
|
e28e4e34d61ce1569794db2a5a8a4e2a3620c9d9
|
refs/heads/master
| 2020-03-31T00:41:41.934053
| 2019-05-28T16:44:03
| 2019-05-28T16:44:03
| 151,750,534
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 545
|
py
|
'''
Created on May 17, 2019
Yahtzee
@author: Jennie Mullen
'''
class Die:
def __init__(self,v=0):
self.__value = v
def get_value(self):
return self.__value
def roll(self):
import random
self.__value = random.randint(1,6)
class Yahtzee:
dice_and_value = {}
def look_value(self):
return self.value
def score(self):
return self.score
def main():
d1 = Die()
d1.roll()
print(d1.get_value())
main()
|
[
"noreply@github.com"
] |
jmullen2782.noreply@github.com
|
fc3b48c972172f18bf98f4798900ffb4a3fbd7bd
|
e1b02eb5d72951f1d75d2e5f056448f8b2db819c
|
/src/gps_example/catkin_generated/pkg.installspace.context.pc.py
|
b2c9ce3e13fe2bd4011bec4d2958aa35f6e3125c
|
[] |
no_license
|
saiprasannasp/octagon
|
90bdefb4b237695498e09f799979d2fc31786b3e
|
97028cb25e1c1aee08884d3a0ddfd1f47d1b0381
|
refs/heads/master
| 2016-08-09T09:23:29.042610
| 2015-08-18T22:26:36
| 2015-08-18T22:26:36
| 36,534,040
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 391
|
py
|
# generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/usr/local/include".split(';') if "/usr/local/include" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "gps_example"
PROJECT_SPACE_DIR = "/usr/local"
PROJECT_VERSION = "0.0.0"
|
[
"sai.saiprasannasp@gmail.com"
] |
sai.saiprasannasp@gmail.com
|
fbd08ee8691b428de5c46390827b57fc9c07e065
|
e6dab5aa1754ff13755a1f74a28a201681ab7e1c
|
/.parts/lib/django-1.2/tests/regressiontests/utils/models.py
|
0dcfaff5de31a5d8bb7e9cd7ba1702e12031609c
|
[] |
no_license
|
ronkagan/Euler_1
|
67679203a9510147320f7c6513eefd391630703e
|
022633cc298475c4f3fd0c6e2bde4f4728713995
|
refs/heads/master
| 2021-01-06T20:45:52.901025
| 2014-09-06T22:34:16
| 2014-09-06T22:34:16
| 23,744,842
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 103
|
py
|
/home/action/.parts/packages/googleappengine/1.9.4/lib/django-1.2/tests/regressiontests/utils/models.py
|
[
"ron.y.kagan@gmail.com"
] |
ron.y.kagan@gmail.com
|
541df5959e54195ed1c2396b51f3cb95236a0716
|
4ee54dd2542c62bae162c75e465ec30c26de5b7b
|
/updatechannel/mixins.py
|
43cc4d087827915df41106dfef8a4e31bd7d2b12
|
[] |
no_license
|
INSRapperswil/async-webservice
|
e90730025c7ca43b65d949bfc69081a676653e54
|
785b66709147ede760851b21ec1e1cb76e61dc16
|
refs/heads/master
| 2023-08-23T06:27:28.502229
| 2021-04-20T09:57:20
| 2021-04-20T09:57:20
| 271,522,677
| 0
| 0
| null | 2021-09-22T19:23:44
| 2020-06-11T10:55:26
|
Python
|
UTF-8
|
Python
| false
| false
| 1,568
|
py
|
from updatechannel.consumers import UpdateChannelConsumer
class CreateModelNotifyMixin:
""" A mixin for views to announce creation of objects. """
def create(self, request, *args, **kwargs):
response = super().create(request, *args, **kwargs)
model = self.get_serializer().Meta.model
UpdateChannelConsumer.send_update_message({
'event': 'model-created',
'model': model.__name__,
'data': response.data
})
return response
class DestroyModelNotifyMixin:
""" A mixin for views to announce deletion of objects. """
def destroy(self, request, *args, **kwargs):
instance = self.get_object()
serializer = self.get_serializer(instance)
response = super().destroy(request, *args, **kwargs)
UpdateChannelConsumer.send_update_message({
'event': 'model-deleted',
'model': instance.__class__.__name__,
'data': serializer.data
})
return response
class UpdateModelNotifyMixin:
""" A mixin for views to announce changes of objects. """
def update(self, request, *args, **kwargs):
response = super().update(request, *args, **kwargs)
model = self.get_serializer().Meta.model
UpdateChannelConsumer.send_update_message({
'event': 'model-updated',
'model': model.__name__,
'data': response.data
})
return response
class NotifyMixin(CreateModelNotifyMixin, DestroyModelNotifyMixin, UpdateModelNotifyMixin):
pass
|
[
"marc.sommerhalder@ins.hsr.ch"
] |
marc.sommerhalder@ins.hsr.ch
|
02adb78a69b1331eeb4a57c48a79f4d544992bae
|
e1c93a2b876e0187639c8dd00aa82d3c822ffd08
|
/Project AI/main.py
|
9133b93ea1644b5b91bd53417b7a659af74e0661
|
[] |
no_license
|
luigi25/Parameter-Learning-of-a-Bayesian-Network
|
9854bb78f541184ca7356bbe2273904c29588601
|
57997b10e96651cc761542504ab7ae872e686505
|
refs/heads/master
| 2022-04-16T07:00:49.808870
| 2020-04-15T13:43:55
| 2020-04-15T13:43:55
| 250,318,715
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,457
|
py
|
from dataset_generator import dataset_gen, probabilities_dataset
from BayesianNetwork import BayesianNetwork
from jensen_shannon import js_divergence
from parameter_learning import learning
import matplotlib.pyplot as plt
import numpy as np
def main():
probabilities = [0.9, 0.1, 0.83, 0.17, 0.2, 0.8, 0.21, 0.79, 0.05, 0.95, 0.8, 0.2, 0.78, 0.22, 0.69, 0.31,
0.05, 0.95, 0.8, 0.2, 0.6, 0.4]
adj_matrix = np.array([[0, 1, 1, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0]])
network = BayesianNetwork(5, adj_matrix)
nodes = network.nodes
prob_dataset = probabilities_dataset(nodes)
x = []
y = []
start = 10
end = 5010
attempt = 50
iteration = 100
for n in range(start, end, iteration):
x.append(n)
z = []
for j in range(attempt):
dataset = dataset_gen(n, adj_matrix, nodes, prob_dataset)
qn = learning(nodes, dataset, n)
divergence = js_divergence(probabilities, qn)
z.append(divergence)
y.append(sum(z) / attempt)
print("x: ", x)
print("y: ", y)
plt.title("Learning curve of Jensen-Shannon divergence")
plt.xlabel("Dimensione del dataset")
plt.ylabel("Divergenza tra probabilità e qn")
plt.plot(x, y)
plt.savefig('Jensen-Shannon divergence.png')
plt.clf()
if __name__ == '__main__':
main()
|
[
"noreply@github.com"
] |
luigi25.noreply@github.com
|
709fe05a854858f078a7119fb1cf5262533f0ebd
|
f935033b93b8167b5ec10fce3cd6b61d2d0a2213
|
/structural/adapter.py
|
33646f3d69c2f880cc36d74ce4c8b2405d3375b1
|
[] |
no_license
|
lqminhdev/python-design-patterns
|
ef87e73020bda05fa34c203e2d113d17de90ca23
|
a58a03aecf2cb8789b01fe557e8b075b400e1c0d
|
refs/heads/master
| 2020-03-22T04:56:35.362655
| 2018-07-03T07:25:23
| 2018-07-03T07:25:23
| 139,531,226
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,508
|
py
|
class Dog(object):
def __init__(self):
self.name = 'Dog'
def bark(self):
return 'woof!'
class Cat(object):
def __init__(self):
self.name = 'Cat'
def meow(self):
return 'meow!'
class Human(object):
def __init__(self):
self.name = 'Human'
def speak(self):
return 'hello!'
class Car(object):
def __init__(self):
self.name = 'Car'
def make_noise(self, octane_level):
return 'vroom{0}'.format('!' * octane_level)
class Adapter(object):
"""
Usage:
dog = Dog()
dog = Adapter(dog, make_noise=dog.bark)
"""
def __init__(self, obj, **adapted_methods):
"""We set the adapted methods in the object's dict"""
self.obj = obj
self.__dict__.update(adapted_methods)
def __getattr__(self, attr):
"""All non-adapted calls are passed to the object"""
return getattr(self.obj, attr)
def original_dict(self):
"""Print original object dict"""
return self.obj.__dict__
def main():
objects = []
dog = Dog()
objects.append(Adapter(dog, make_noise=dog.bark))
cat = Cat()
objects.append(Adapter(cat, make_noise=cat.meow))
human = Human()
objects.append(Adapter(human, make_noise=human.speak))
car = Car()
objects.append(Adapter(car, make_noise=lambda: car.make_noise(3)))
for obj in objects:
print("A {0} goes {1}".format(obj.name, obj.make_noise()))
if __name__ == '__main__':
main()
|
[
"minhlq@adasiaholdings.com"
] |
minhlq@adasiaholdings.com
|
32959ae3cdf30d6bce0eff88ef114150768fb897
|
058a07bcd258a2578d43bcf3d691db41d6cd9a72
|
/app.py
|
cf467311b463864313d2ab5496dc33f9675f554b
|
[] |
no_license
|
nothene/stroke-prediction-web-interface
|
9200d98f657748ad6124c452a22a78300d105818
|
427a61d0a4a365a9ee4560feca61c1f7a33fa9d2
|
refs/heads/master
| 2023-04-22T12:11:43.167202
| 2021-04-21T01:54:05
| 2021-04-21T01:54:05
| 359,998,852
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,022
|
py
|
import numpy as np
import pandas as pd
from flask import Flask, request, jsonify, render_template
import pickle
import json
import sys
cat_map = {}
with open('cat.json') as file:
cat_map = json.load(file)
app = Flask(__name__)
model = pickle.load(open('gradient.pkl', 'rb'))
@app.route('/')
def home():
return render_template('index.html')
@app.route('/predict', methods=['POST'])
def predict():
int_features = []
for i in request.form.values():
if i in cat_map:
int_features.append(int(cat_map[i]))
else:
int_features.append(float(i))
final_features = [np.array(int_features)]
prediction = model.predict(final_features)
#return render_template('index.html', prediction=prediction)
if prediction[0] == 1:
return render_template('index.html', prediction="You have stroke!")
else:
return render_template('index.html', prediction="You don't have stroke, for now")
if __name__ == "__main__":
app.run(debug=True)
|
[
"kevin_huang31@yahoo.co.id"
] |
kevin_huang31@yahoo.co.id
|
e02f6ab34ef6899c568fd5e10a814e4265496c2d
|
b8ab0e1ac2634741a05e5fef583585b597a6cdcf
|
/wsltools/utils/faker/providers/job/pl_PL/__init__.py
|
719cc78f62dc09cb90efb008194295eb4c964925
|
[
"MIT"
] |
permissive
|
Symbo1/wsltools
|
be99716eac93bfc270a5ef0e47769290827fc0c4
|
0b6e536fc85c707a1c81f0296c4e91ca835396a1
|
refs/heads/master
| 2022-11-06T16:07:50.645753
| 2020-06-30T13:08:00
| 2020-06-30T13:08:00
| 256,140,035
| 425
| 34
|
MIT
| 2020-04-16T14:10:45
| 2020-04-16T07:22:21
|
Python
|
UTF-8
|
Python
| false
| false
| 5,595
|
py
|
# coding=utf-8
from __future__ import unicode_literals
from .. import Provider as BaseProvider
class Provider(BaseProvider):
jobs = [
"Agent celny",
"Agent firmy inwestycyjnej",
"Agent literacki",
"Agent ubezpieczeniowy",
"Agronom",
"Aktor",
"Aktor dziecięcy",
"Aktor głosowy",
"Aktuariusz",
"Animator kultury",
"Ankieter",
"Antykwariusz",
"Arborysta",
"Archeolog",
"Architekt krajobrazu",
"Architekt wnętrz",
"Archiwista",
"Artysta-rezydent",
"Astronom",
"Audytor efektywności energetycznej",
"Babcia klozetowa",
"Bankowiec",
"Barista",
"Barman",
"Bibliotekarz",
"Bibliotekarz dyplomowany",
"Biegły rewident",
"Brakarz",
"Broker",
"Broker informacji",
"Broker ubezpieczeniowy",
"Certyfikator energetyczny",
"Charakteryzator",
"Detektyw",
"Deweloper budowlany",
"Doker",
"Doradca finansowy",
"Doradca inwestycyjny",
"Doradca podatkowy w Polsce",
"Doradca ubezpieczeniowy",
"Drwal",
"Dubler",
"Dyplomata",
"Dyrektor artystyczny",
"Dyrektor finansowy",
"Dyrektor kreatywny",
"Dziennikarz",
"Dżokej",
"Ebenista",
"Ekonomista",
"Ekwilibrystyka",
"Elektromonter pomiarów",
"Ergonomista",
"Fasowacz",
"Finansista",
"Fotoreporter",
"Geodeta",
"Geolog",
"Główny księgowy",
"Grabarz",
"Handlarz",
"Hostessa",
"Hutnik",
"Hycel",
"Hydraulik",
"Iluzjonista",
"Inscenizator",
"Instruktor",
"Integrator automatyki",
"Intendent",
"Inżynier",
"Inżynier budownictwa",
"Kasjer biletowy",
"Katecheta",
"Kawalkator",
"Kawiarka",
"Kelner",
"Kierowca",
"Kiper",
"Klechdarz",
"Konferansjer",
"Koniarze",
"Konserwator zabytków",
"Konsjerż",
"Konstruktor",
"Konsultant",
"Konsultant ślubny",
"Kontroler biletów",
"Kornak",
"Kosmonauta",
"Kostiumograf",
"Kosztorysant",
"Kowboj",
"Krojczy",
"Krupier",
"Ksiądz",
"Księgowy",
"Kuk",
"Kupiec",
"Kurator sądowy",
"Kurator sztuki",
"Kurier",
"Kurier rowerowy",
"Lalkarz",
"Leśniczy",
"Liczmen",
"Likwidator szkód",
"Listonosz",
"Łącznik",
"Makler giełd towarowych",
"Makler morski",
"Makler nadzorujący",
"Makler papierów wartościowych",
"Marketingowiec",
"Marynarz",
"Masztalerz",
"Menedżer kultury",
"Meteorolog",
"Mim",
"Model",
"Modelka dużych rozmiarów",
"Motorniczy",
"Nadleśniczy",
"Nauczyciel",
"Nauczyciel akademicki",
"Naukowiec",
"Niania",
"Oceanonauta",
"Ochroniarz",
"Pakowacz",
"Palacz",
"Perfumiarz",
"Pisarz",
"Plastyk",
"Podleśniczy",
"Poganiacz",
"Pokojówka",
"Politolog",
"Polityk",
"Portier",
"Pośrednik finansowy",
"Pośrednik ubezpieczeniowy",
"Pośrednik w obrocie nieruchomościami",
"Pracownicy uczelni w Polsce",
"Pracownik socjalny",
"Prezenter",
"Producent wykonawczy",
"Projektant gier komputerowych",
"Przedstawiciel handlowy",
"Przewodnik turystyczny",
"Psiarz",
"Psycholog",
"Pucybut",
"Rachmistrz",
"Ratownik",
"Ratownik przedmedyczny",
"Redaktor",
"Redaktor merytoryczny",
"Redaktor naukowy",
"Redaktor techniczny",
"Rekwizytor",
"Reporter wojenny",
"Reżyser",
"Robotnik",
"Rolnik",
"Rybak",
"Rzecznik prasowy",
"Rzeczoznawca",
"Rzeczoznawca budowlany",
"Rzeczoznawca majątkowy",
"Rzeczoznawca samochodowy",
"Salowa",
"Satyryk",
"Scenarzysta",
"Scenograf",
"Służący",
"Sprzątacz",
"Sprzedawca",
"Stajenny",
"Strażak",
"Sufler",
"Supermodelka",
"Syndyk",
"Syndyk licencjonowany",
"Szatniarz",
"Szczurołap",
"Szlifierz",
"Sztygar",
"Taksówkarz",
"Technik awionik",
"Technik budownictwa",
"Technik elektronik",
"Technik handlowiec",
"Technik kelner",
"Technik mechanik",
"Technik mechanik lotniczy",
"Technik mechanik okrętowy",
"Technik nawigator morski",
"Technik ochrony środowiska",
"Technik technologii drewna",
"Technik weterynarii",
"Technik żywienia i gospodarstwa domowego",
"Teksturator",
"Terapeuta",
"Terminolog",
"Tłumacz",
"Tłumacz literacki",
"Tłumacz przysięgły",
"Tokarz",
"Trener",
"Trener personalny",
"Urbanista",
"Lekarz weterynarii",
"Wydawca",
"Zarządca nieruchomości",
"Zoopsycholog",
"Żołnierz",
"Żongler",
]
|
[
"tr3jer@gmail.com"
] |
tr3jer@gmail.com
|
9d559a5a5771f3094b3a8a45fc6859e136beef85
|
99c4d4a6592fded0e8e59652484ab226ac0bd38c
|
/code/batch-1/vse-naloge-brez-testov/DN4-M-231.py
|
4900c7a410567b69e439a7b6c5d4bbd07fa705f3
|
[] |
no_license
|
benquick123/code-profiling
|
23e9aa5aecb91753e2f1fecdc3f6d62049a990d5
|
0d496d649247776d121683d10019ec2a7cba574c
|
refs/heads/master
| 2021-10-08T02:53:50.107036
| 2018-12-06T22:56:38
| 2018-12-06T22:56:38
| 126,011,752
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,396
|
py
|
import math
################################ WARM UP FUNCTIONS ####################################
### Function gives back coordinates of the city we choose.
def koordinate(ime, kraji):
for imena in kraji:
for data in imena:
if ime == data:
return imena[1], imena[2]
### Function gives back distance between coordinates of two points.
def razdalja_koordinat(x1, y1, x2, y2):
distance = abs(math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2))
return distance
### Function gives back distance between two cities that we choose.
def razdalja(ime1, ime2, kraji):
### Function uses previous function "koordinate" to provide coordinates of chosen cities.
koordinate1 = koordinate(ime1, kraji)
koordinate2 = koordinate(ime2, kraji)
### When we have coordinates of cities we can use previous function "razdalja_koordinat" to calculate distance between chosen cities.
distance = razdalja_koordinat(koordinate1[0], koordinate1[1], koordinate2[0], koordinate2[1])
return distance
################################ OBLIGATORY FUNCTIONS ####################################
### Function gives back list of cities that chosen city can water with selected range.
def v_dometu(ime, domet, kraji):
seznam = []
for imena in kraji:
### We make sure that teh city will not try to water itself.
if imena[0] != ime:
### We use previous function "razdalja" to calculate distances of each city in the dictionary.
distance = razdalja(ime, imena[0], kraji)
### If distance is in selected range, we append city to the list that this function will return.
if distance <= domet:
seznam.append(imena[0])
return seznam
### Function gives back the name of the city with maximum distance from the selected list of cities in relation to chosen city,
def najbolj_oddaljeni(ime, imena, kraji):
### We set the starting point of maximum distance to 0 and name to none, so we can replace them later with calculated values.
maksimum = 0
oddaljen_kraj = None
### In selected list of cities we calculate the distance of each in relation to the chosen city using previous function "razdalja".
for data in imena:
distance = razdalja(ime, data, kraji)
### If calculated distance is bigger than selected maximum, we replace the value of maximum with bigger distance and name with the name of the city that has bigger value.
if distance > maksimum:
maksimum = distance
oddaljen_kraj = data
return oddaljen_kraj
### Function gives back name of most distant city that a chosen city with selected range can water.
def zalijemo(ime, domet, kraji):
### We set the starting point of maximum distance to 0 and name to none, so we can replace them later with calculated values.
maksimum = 0
oddaljen_kraj = None
### We determine cities in the selected range of chosen cities with previous function "v_dometu".
domet = v_dometu(ime, domet, kraji)
### For each city in selected range we calculate distance from chosen city with previous function "razdalja".
for izbrani in domet:
distance = razdalja(ime, izbrani, kraji)
### If calculated distance is bigger than selected maximum, we replace the value of maximum with bigger distance and name with the name of the city that has bigger value.
if distance > maksimum:
maksimum = distance
oddaljen_kraj = izbrani
return oddaljen_kraj
################################ EXTRA FUNCTIONS ####################################
### Function gives back list of elements that are appearing in both of chosen lists.
def presek(s1, s2):
seznam = []
for elements in s1:
if elements in s2:
seznam.append(elements)
return seznam
### Function gives back list of cities that can be watered by both of chosen cities with selected range.
def skupno_zalivanje(ime1, ime2, domet, kraji):
### We determine cities in the selected range of chosen cities with previous function "v_dometu".
domet1 = v_dometu(ime1, domet, kraji)
domet2 = v_dometu(ime2, domet, kraji)
### We use previous function "presek" to determine cities that are in range of the first chosen city as of the second chosen city.
skupaj = presek(domet1, domet2)
return skupaj
################################ UNITTEST ####################################
|
[
"lenart.motnikar@gmail.com"
] |
lenart.motnikar@gmail.com
|
645909e49a98a779401792630d47737e27a5d5c7
|
c92c0d92bac73ac54fbb30395f8f9ef6b41b20a8
|
/attemptlogin/keystone_counter.py
|
37666a04b71ea146c72e7973b15693ff4b2dd823
|
[] |
no_license
|
DonnieQ/Randall_PythonCodeSDE
|
9876272ea2d770f21a0179046fa1847178066d2f
|
1b87f840a77b1950bcaed0e3572f0de02cad2fcf
|
refs/heads/main
| 2023-02-18T07:23:31.220691
| 2021-01-15T19:58:01
| 2021-01-15T19:58:01
| 326,742,763
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 685
|
py
|
#!/usr/bin/python3
# parse keystone.common.wsgi and return number of failed login attempts
loginfail = 0 # counter for fails
# open the file for reading
keystone_file = open("/home/student/Randall_PythonCodeSDE/attemptlogin/keystone.common.wsgi","r")
# turn the file into a list of lines in memory
keystone_file_lines=keystone_file.readlines()
# loop over the list of lines
for line in keystone_file_lines:
# if this 'fail pattern' appears in the line...
if "- - - - -] Authorization failed" in line:
loginfail += 1 # this is the same as loginfail = loginfail + 1
print("The number of failed log in attempts is", loginfail)
keystone_file.close() # close the open file
|
[
"rwade727@gmail.com"
] |
rwade727@gmail.com
|
c0a5b30451404feb6e507cb09220b1771b8859d6
|
afc19d77eb5423df5b16d24039bff53f381ae628
|
/dev/apps.py
|
1dec1bb8e8b5a116e547aa616f7f88e0bb8aab44
|
[] |
no_license
|
Rsingh2805/BootCampIITR
|
26a61c7388a30743e16296ff51c9c67a81828f89
|
4e17dcadb99bc7504d5f2949bd1887ebf01b2e82
|
refs/heads/master
| 2021-08-07T22:51:38.332625
| 2017-11-09T04:59:31
| 2017-11-09T04:59:31
| 106,817,773
| 4
| 1
| null | 2017-10-30T07:23:31
| 2017-10-13T11:47:43
|
Python
|
UTF-8
|
Python
| false
| false
| 146
|
py
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
class DevConfig(AppConfig):
name = 'dev'
|
[
"rs280599@gmail.com"
] |
rs280599@gmail.com
|
624bd7a4deb3b31e6510371e0799339704ba622f
|
aa4cf458d23409cdf0be219c05fc31e61fa38593
|
/djangogirls/wsgi.py
|
f33604220809ca4421f7ec0941ec27f7de3e84a1
|
[] |
no_license
|
Jantz021991/djangoGirls
|
35f8628195e9cb3061c86dcb32f946b0b30854b7
|
2ab1cb1c2316e267e40740ae69fcee9c04019112
|
refs/heads/master
| 2022-12-18T01:15:36.613846
| 2018-04-02T04:45:23
| 2018-04-02T04:45:23
| 127,495,573
| 1
| 0
| null | 2022-12-08T00:51:31
| 2018-03-31T03:30:43
|
Python
|
UTF-8
|
Python
| false
| false
| 546
|
py
|
"""
WSGI config for djangogirls project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
from django.core.wsgi import get_wsgi_application
from whitenoise.django import DjangoWhiteNoise
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "djangogirls.settings")
application = get_wsgi_application()
application = DjangoWhiteNoise(application)
|
[
"djantz@unomaha.edu"
] |
djantz@unomaha.edu
|
8a37855a595a2977091199954cab2c10d933a1fc
|
ba3c06f9ae89479fa4987fe841ac09b5b5d71383
|
/python_for_kids/book/Examples/lotto2.py
|
fed297d6c381e0e5ae3defaf06ef766695560466
|
[] |
no_license
|
mary-tano/python-programming
|
6d806e25011e770a04a0922d0b71bf38c222d026
|
829654a3274be939fa529ed94ea568c12f7f1a27
|
refs/heads/master
| 2021-05-17T15:30:32.710838
| 2020-04-01T13:37:18
| 2020-04-01T13:37:18
| 250,846,188
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 494
|
py
|
# Лото
import random
Ball = []
# Все шары еще не "вытащены"
for Nr in range(1,50) :
Ball.append(0)
Case = random.randint(1,49)
# "Вытягивается" шесть шаров
for Nr in range(6) :
# поиск неиспользованных шаров
while Ball[Case] == 1 :
Case = random.randint(1,49)
# Пометка использованного шара "вытащенным"
Ball[Case] = 1
print("№ " + str(Nr+1) + " => " + str(Case))
|
[
"masha.mary.tano@gmail.com"
] |
masha.mary.tano@gmail.com
|
e40eddbfe174f0c3f3d6e09c9525863a77f9a334
|
e8d13ea933bf004adff9c8a06619feeab109883e
|
/Ecommerce/wsgi.py
|
3b88e7f619f66bdc51cc18286e9f3e16482964e3
|
[] |
no_license
|
AaronDasani/Ecommerce
|
984fc25060528aee5290def42955803ccad7a375
|
9e3952865fddb053fc5f627487ad5c71af6e83bb
|
refs/heads/master
| 2022-12-08T17:03:01.387326
| 2019-02-13T20:51:53
| 2019-02-13T20:51:53
| 166,871,712
| 2
| 0
| null | 2022-11-22T03:24:06
| 2019-01-21T19:54:39
|
HTML
|
UTF-8
|
Python
| false
| false
| 396
|
py
|
"""
WSGI config for Ecommerce project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "Ecommerce.settings")
application = get_wsgi_application()
|
[
"aaron.mike2406@gmail.com"
] |
aaron.mike2406@gmail.com
|
71a547516f79998fb726804bac2cfca94955988d
|
15f321878face2af9317363c5f6de1e5ddd9b749
|
/solutions_python/Problem_136/2046.py
|
18fd5baede0be2e49e8d3c5f3e0abc6881d0f3b4
|
[] |
no_license
|
dr-dos-ok/Code_Jam_Webscraper
|
c06fd59870842664cd79c41eb460a09553e1c80a
|
26a35bf114a3aa30fc4c677ef069d95f41665cc0
|
refs/heads/master
| 2020-04-06T08:17:40.938460
| 2018-10-14T10:12:47
| 2018-10-14T10:12:47
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 826
|
py
|
#!/usr/bin/python
def main():
fin = open('B-large.in','r')
fout = open('B-large-practice.out','w')
test_cases = int(fin.readline())
for test_case in xrange(test_cases):
win = 0
cfx = fin.readline().split()
[C,F,X] = [float(num) for num in cfx]
rate = 2.0
cookie = 0.0
time = 0.0
while(not win):
decision = decide(C,X,F,rate,time)
# print decision
if decision == 'dont_buy':
time = time+(X/rate)
win = 1
else:
time = time + (C/rate)
rate = rate + F
# print time,rate
fout.write("Case #%d: %.7f\n"%(test_case+1,time))
fin.close()
fout.close()
def decide(c,x,f,rate,time):
time = 0.0
if (c/rate)+(x/(rate+f))<(time+(x/rate)):
return 'buy'
else:
return 'dont_buy'
if __name__ == '__main__':
main()
|
[
"miliar1732@gmail.com"
] |
miliar1732@gmail.com
|
ce6d60c24b1d6975a2e06797a4c029d6dea5b576
|
89438f70dcad92b76ff1609e3ae587c53a837f80
|
/Python/Problem28/Problem 28.py
|
0579cc29e78c2946eeac9954fb679d65b7c7bf65
|
[] |
no_license
|
TannerLow/Project-Euler-Solutions
|
78877987b496d30c7845c3010cc99ce95dc8afa2
|
ffa6a349006d3e2de84b2cd70a565dd0a5196294
|
refs/heads/master
| 2020-04-28T02:35:16.956799
| 2019-11-10T21:34:45
| 2019-11-10T21:34:45
| 174,904,457
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 213
|
py
|
import time
start_time = time.time()
sum = 1
for x in range(1,501):
sum += (2*x+1)**2
sum += ((2*x+1)**2 - 6*x)
sum += ((2*x+1)**2 - 4*x)
sum += ((2*x+1)**2 - 2*x)
print(sum)
print(time.time() - start_time)
|
[
"lowthorpt@gmail.com"
] |
lowthorpt@gmail.com
|
2745ceb8bb2985639715d688754e8b72c6867554
|
fd2c8d2530a0905dce4316f5136f658b248249a0
|
/src/classify_reads.py
|
39c3cd77a88a7ba6f9d363a130ccc8733eaac9ce
|
[] |
no_license
|
chengdai/amr_pipeline
|
ddd31d041faaacbe05b258deaff8461a521b76df
|
677b2d538384a1fe44b56aa0a79ff7efad0321a6
|
refs/heads/master
| 2020-03-16T23:13:11.649229
| 2018-12-17T20:35:18
| 2018-12-17T20:35:18
| 133,069,588
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,610
|
py
|
import glob
import os
import subprocess
import argparse
'''NOTE: When in doubt, call "python [FILENAME.py] -h" to get a description of the necessary parameters'''
def classify_reads(f, centrifuge, db, threads, out_path):
print 'Finding taxonomic composition for file: {0}'.format(f.split('/')[-1])
fastq_read_1 = f + '_quality_controlled_paired_1.fastq.gz'
fastq_read_2 = f + '_quality_controlled_paired_2.fastq.gz'
fastq_unpaired_1 = f + '_quality_controlled_unmatched_1.fastq.gz'
fastq_unpaired_2 = f + '_quality_controlled_unmatched_2.fastq.gz'
classification_out_file = out_path + f.split('/')[-1] + '_classification.txt'
report_out_file = out_path + f.split('/')[-1] + '_report.tsv'
centrifuge_kreport = centrifuge + '-kreport'
kreport_out_file = out_path + f.split('/')[-1] + '_kreport.txt'
command = '{0} -x {1} -1 {2} -2 {3} -U {4},{5} -S {6} --report-file {7} -q -p {8} && {9} -x {1} {6} > {10} && pigz -p {8} --best {6}'.format(centrifuge, db, fastq_read_1, fastq_read_2, fastq_unpaired_1, fastq_unpaired_2, classification_out_file, report_out_file, threads, centrifuge_kreport, kreport_out_file)
final = subprocess.Popen(command, shell=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, close_fds=True)
(stdout, stderr) = final.communicate()
print stdout
print stderr
def main():
# Get arguments
parser = argparse.ArgumentParser(description='Specify arguments for centrifuge classification of reads.')
parser.add_argument('--fastq_folder',
help='path to folder containing quality controlled fastq files')
parser.add_argument('--indexed_db',
help='path to basename of the index for the reference genomes')
parser.add_argument('--out',
help='folder for all centrifge output files')
parser.add_argument('--centrifuge', default='centrifuge',
help='path to centrifuge software')
parser.add_argument('--threads', default= 1.0,
help='number threads to use for alignment')
args = parser.parse_args()
#Get all fastq file in folder (NOTE: fastq files should be QC'ed)
fastq_folder = args.fastq_folder
files = set([f.split('_quality_controlled_')[0] for f in glob.glob(fastq_folder + '*.fastq*')])
out_path = args.out
#centrifuge parameters
db = args.indexed_db
centrifuge = args.centrifuge
threads = args.threads
for file_prefix in files:
classify_reads(file_prefix, centrifuge, db, threads, out_path)
main()
|
[
"chengzhendai@gmail.com"
] |
chengzhendai@gmail.com
|
231a5a25a80b090e60ab3c6522e2717ddce20db9
|
137b60bdec1aeb865f8f7f85107be1a88e4e7472
|
/plant_nursery/models/__init__.py
|
3f4798233587df54ea747cc55dbd67859c65a51b
|
[] |
no_license
|
HabibAroua/odoo_training2
|
7db3b26fdca21b7102db65147fbb40432f9afb88
|
cc1008be6cbc8306dceb95432e8a50902d0fb12c
|
refs/heads/master
| 2022-04-24T05:09:19.389561
| 2020-04-27T15:28:20
| 2020-04-27T15:28:20
| 240,235,477
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 62
|
py
|
from . import customer
from . import order
from . import plant
|
[
"habibha.aroua82@gmail.com"
] |
habibha.aroua82@gmail.com
|
cd9ffc5f7f152c218a7c4c78700f66b7c5e2a020
|
f80b952de024913ba42d9e2f8a1c1e65734bb71a
|
/characters.py
|
7e71c4da3aae0ce6e05519ca20ca959796649485
|
[] |
no_license
|
Python-lab-cycle/ThasniPK
|
760fde2a13c24f9c8de332c08f5302942b9fdde0
|
f0b951d3a62a8592d89797e0a26d6c86ca108181
|
refs/heads/main
| 2023-06-16T03:55:34.378344
| 2021-07-02T10:10:49
| 2021-07-02T10:10:49
| 330,555,889
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 197
|
py
|
dict={}
str1=input("enter a string:")
for n in str1:
if n in dict:
dict[n]+=1
else:
dict[n]=1
print("character frequency")
for k,v in dict.items():
print(k,v)
|
[
"noreply@github.com"
] |
Python-lab-cycle.noreply@github.com
|
ed17f61ed7c21250dc61923916a3569483570fb2
|
17ea6c9fb83a1b78319eb9578dccf2ddeb7a5a9c
|
/src/the_counter/migrations/0001_initial.py
|
846d00a0a3559f6add2ffeccc0f19e0e1183d101
|
[] |
no_license
|
LIFA-0808/BudgetCounter-DjangoApp
|
bd736f3586e1357d50e08dc21c18f96604e5568e
|
d4e8febfc272d256dac314947d06a0915ff61e26
|
refs/heads/master
| 2022-08-29T04:48:33.978538
| 2020-05-29T18:51:52
| 2020-05-29T18:51:52
| 262,847,224
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,135
|
py
|
# Generated by Django 3.0.6 on 2020-05-10 18:02
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Record',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('budget_item', models.CharField(choices=[('income', 'Текущие доходы'), ('expenses', 'Текущие расходы'), ('wish_list', 'Лист желаний')], default='income', max_length=9, verbose_name='Статья бюджета')),
('money', models.FloatField(verbose_name='Размер')),
('item_description', models.CharField(max_length=200, verbose_name='Описание')),
('date_added', models.DateField(default=datetime.date.today, verbose_name='Дата')),
],
options={
'verbose_name': 'Запись',
'verbose_name_plural': 'Записи',
},
),
]
|
[
"iramilka123@gmail.com"
] |
iramilka123@gmail.com
|
95ca0ee32f8ed449eec3633ae8dc06658de5473c
|
f33b30743110532ddae286ba1b34993e61669ab7
|
/Task Scheduler.py
|
242eb056eb4d8ce1d4be0f90116b904c570ba218
|
[] |
no_license
|
c940606/leetcode
|
fe9dcee7a5daa4d52999d5f53253dd6dd33c348b
|
631df2ce6892a6fbb3e435f57e90d85f8200d125
|
refs/heads/master
| 2021-07-10T14:01:26.164966
| 2020-08-16T10:46:16
| 2020-08-16T10:46:16
| 186,588,449
| 3
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,647
|
py
|
from collections import Counter
class Solution(object):
def leastInterval(self, tasks, n):
"""
给定一个用字符数组表示的 CPU 需要执行的任务列表。
其中包含使用大写的 A - Z 字母表示的26 种不同种类的任务。任务可以以任意顺序执行，
并且每个任务都可以在 1 个单位时间内执行完。CPU 在任何一个单位时间内都可以执行一个任务，或者在待命状态。
然而，两个相同种类的任务之间必须有长度为 n 的冷却时间，因此至少有连续 n 个单位时间内 CPU 在执行不同的任务，或者在待命状态。
你需要计算完成所有任务所需要的最短时间。
---
输入: tasks = ["A","A","A","B","B","B"], n = 2
输出: 8
执行顺序: A -> B -> (待命) -> A -> B -> (待命) -> A -> B.
--
思路:
数学规律
1.找到 任务最多的
2. 分组 每组个数(n+1)*最多任务个数 最后一组除外
3. 最后一组 任务肯定都是最多任务个数一样
:type tasks: List[str]
:type n: int
:rtype: int
"""
if not tasks:
return 0
c = Counter(tasks)
print(list(c.values()))
c = sorted(c.items(),key=lambda x:x[1],reverse=True)
print(c)
max_num = c[0][1]
count = 0
for item in c:
if item[1] == max_num:
count += 1
else:
break
return (n+1)*(max_num-1) + count
def leastInterval1(self, tasks, n):
c = Counter(tasks)
c = list(c.values())
max_num = max(c)
count = c.count(max_num)
return max(len(tasks),(n+1)*(max_num-1) + count)
a = Solution()
print(a.leastInterval1(tasks = ["A","A","A","A","A","A","B","C","D","E","F","G"], n = 2))
|
[
"762307667@qq.com"
] |
762307667@qq.com
|
821d2627c4102f6899b298e8655bdf34068703f2
|
35854414ad6bb60b8db6cc69b6e9054b2ea0a3d9
|
/src/libs/constants.py
|
5abf9c65c4b3f6d363f89dc8f8e33fd209043c00
|
[
"MIT"
] |
permissive
|
TalalMahmoodChaudhry/FastAPI-Postgres-Kubernetes
|
84f4fdca825c08c8f1c71af059d5beeee87b1266
|
32f5332eb3284201945908a693b106def5767049
|
refs/heads/main
| 2023-06-08T11:18:21.047380
| 2021-06-10T07:44:26
| 2021-06-10T07:44:26
| 372,060,147
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 643
|
py
|
import os
# Sensitive secrets injected as env variable (e.g. through Kubernetes secrets or retrieved from vault)
DATABASE_URL = os.environ['DATABASE_URL']
SECRET_KEY = os.getenv('SECRET_KEY', 'de4d36b1c5605f70c8aab59216e4261ad8b984b75e23b978c07c22bedc14215e')
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_MINUTES = 30
username = 'talal'
name = 'Talal Mahmood Chaudhry'
email = 'talalmahmood@example.com'
fake_users_db = {
username: {
'username': username,
'full_name': name,
'email': email,
'hashed_password': '$2b$12$6q.fUkNAab6oqULb1uS8VO.zfpXQbcpEjxYhyR7QEXdafx9fKt7Km',
'disabled': False,
},
}
|
[
"talalmahmood@gmail.com"
] |
talalmahmood@gmail.com
|
0357d900cd341755828a42edc5f1b37fb7abcd83
|
555b9f764d9bca5232360979460bc35c2f5ad424
|
/google/ads/google_ads/v1/proto/common/metrics_pb2.py
|
f013b2668da6c4e30499e209598700d9ac72048a
|
[
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] |
permissive
|
juanmacugat/google-ads-python
|
b50256163782bc0223bcd8b29f789d74f4cfad05
|
0fc8a7dbf31d9e8e2a4364df93bec5f6b7edd50a
|
refs/heads/master
| 2021-02-18T17:00:22.067673
| 2020-03-05T16:13:57
| 2020-03-05T16:13:57
| 245,215,877
| 1
| 0
|
Apache-2.0
| 2020-03-05T16:39:34
| 2020-03-05T16:39:33
| null |
UTF-8
|
Python
| false
| true
| 95,551
|
py
|
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/ads/googleads_v1/proto/common/metrics.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from google.ads.google_ads.v1.proto.enums import interaction_event_type_pb2 as google_dot_ads_dot_googleads__v1_dot_proto_dot_enums_dot_interaction__event__type__pb2
from google.ads.google_ads.v1.proto.enums import quality_score_bucket_pb2 as google_dot_ads_dot_googleads__v1_dot_proto_dot_enums_dot_quality__score__bucket__pb2
from google.protobuf import wrappers_pb2 as google_dot_protobuf_dot_wrappers__pb2
from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='google/ads/googleads_v1/proto/common/metrics.proto',
package='google.ads.googleads.v1.common',
syntax='proto3',
serialized_options=_b('\n\"com.google.ads.googleads.v1.commonB\014MetricsProtoP\001ZDgoogle.golang.org/genproto/googleapis/ads/googleads/v1/common;common\242\002\003GAA\252\002\036Google.Ads.GoogleAds.V1.Common\312\002\036Google\\Ads\\GoogleAds\\V1\\Common\352\002\"Google::Ads::GoogleAds::V1::Common'),
serialized_pb=_b('\n2google/ads/googleads_v1/proto/common/metrics.proto\x12\x1egoogle.ads.googleads.v1.common\x1a@google/ads/googleads_v1/proto/enums/interaction_event_type.proto\x1a>google/ads/googleads_v1/proto/enums/quality_score_bucket.proto\x1a\x1egoogle/protobuf/wrappers.proto\x1a\x1cgoogle/api/annotations.proto\"\xb3\x39\n\x07Metrics\x12H\n\"absolute_top_impression_percentage\x18_ \x01(\x0b\x32\x1c.google.protobuf.DoubleValue\x12\x35\n\x0f\x61\x63tive_view_cpm\x18\x01 \x01(\x0b\x32\x1c.google.protobuf.DoubleValue\x12\x35\n\x0f\x61\x63tive_view_ctr\x18O \x01(\x0b\x32\x1c.google.protobuf.DoubleValue\x12<\n\x17\x61\x63tive_view_impressions\x18\x02 \x01(\x0b\x32\x1b.google.protobuf.Int64Value\x12?\n\x19\x61\x63tive_view_measurability\x18` \x01(\x0b\x32\x1c.google.protobuf.DoubleValue\x12G\n\"active_view_measurable_cost_micros\x18\x03 \x01(\x0b\x32\x1b.google.protobuf.Int64Value\x12G\n\"active_view_measurable_impressions\x18\x04 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dependencies=[google_dot_ads_dot_googleads__v1_dot_proto_dot_enums_dot_interaction__event__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads__v1_dot_proto_dot_enums_dot_quality__score__bucket__pb2.DESCRIPTOR,google_dot_protobuf_dot_wrappers__pb2.DESCRIPTOR,google_dot_api_dot_annotations__pb2.DESCRIPTOR,])
_METRICS = _descriptor.Descriptor(
name='Metrics',
full_name='google.ads.googleads.v1.common.Metrics',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
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_descriptor.FieldDescriptor(
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number=2, type=11, cpp_type=10, label=1,
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_descriptor.FieldDescriptor(
name='active_view_measurability', full_name='google.ads.googleads.v1.common.Metrics.active_view_measurability', index=4,
number=96, type=11, cpp_type=10, label=1,
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_descriptor.FieldDescriptor(
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number=3, type=11, cpp_type=10, label=1,
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serialized_options=None, file=DESCRIPTOR),
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name='active_view_measurable_impressions', full_name='google.ads.googleads.v1.common.Metrics.active_view_measurable_impressions', index=6,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
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serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
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number=66, type=11, cpp_type=10, label=1,
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serialized_options=None, file=DESCRIPTOR),
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number=7, type=11, cpp_type=10, label=1,
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number=62, type=11, cpp_type=10, label=1,
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_descriptor.FieldDescriptor(
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number=119, type=11, cpp_type=10, label=1,
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serialized_options=None, file=DESCRIPTOR),
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number=67, type=11, cpp_type=10, label=1,
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number=122, type=11, cpp_type=10, label=1,
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serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
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number=123, type=11, cpp_type=10, label=1,
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is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
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number=124, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='average_cost', full_name='google.ads.googleads.v1.common.Metrics.average_cost', index=20,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='average_cpc', full_name='google.ads.googleads.v1.common.Metrics.average_cpc', index=21,
number=9, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='average_cpe', full_name='google.ads.googleads.v1.common.Metrics.average_cpe', index=22,
number=98, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='average_cpm', full_name='google.ads.googleads.v1.common.Metrics.average_cpm', index=23,
number=10, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='average_cpv', full_name='google.ads.googleads.v1.common.Metrics.average_cpv', index=24,
number=11, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='average_frequency', full_name='google.ads.googleads.v1.common.Metrics.average_frequency', index=25,
number=12, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='average_page_views', full_name='google.ads.googleads.v1.common.Metrics.average_page_views', index=26,
number=99, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='average_position', full_name='google.ads.googleads.v1.common.Metrics.average_position', index=27,
number=13, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='average_time_on_site', full_name='google.ads.googleads.v1.common.Metrics.average_time_on_site', index=28,
number=84, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='benchmark_average_max_cpc', full_name='google.ads.googleads.v1.common.Metrics.benchmark_average_max_cpc', index=29,
number=14, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='benchmark_ctr', full_name='google.ads.googleads.v1.common.Metrics.benchmark_ctr', index=30,
number=77, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bounce_rate', full_name='google.ads.googleads.v1.common.Metrics.bounce_rate', index=31,
number=15, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='clicks', full_name='google.ads.googleads.v1.common.Metrics.clicks', index=32,
number=19, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='combined_clicks', full_name='google.ads.googleads.v1.common.Metrics.combined_clicks', index=33,
number=115, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='combined_clicks_per_query', full_name='google.ads.googleads.v1.common.Metrics.combined_clicks_per_query', index=34,
number=116, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='combined_queries', full_name='google.ads.googleads.v1.common.Metrics.combined_queries', index=35,
number=117, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='content_budget_lost_impression_share', full_name='google.ads.googleads.v1.common.Metrics.content_budget_lost_impression_share', index=36,
number=20, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='content_impression_share', full_name='google.ads.googleads.v1.common.Metrics.content_impression_share', index=37,
number=21, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='conversion_last_received_request_date_time', full_name='google.ads.googleads.v1.common.Metrics.conversion_last_received_request_date_time', index=38,
number=73, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='conversion_last_conversion_date', full_name='google.ads.googleads.v1.common.Metrics.conversion_last_conversion_date', index=39,
number=74, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='content_rank_lost_impression_share', full_name='google.ads.googleads.v1.common.Metrics.content_rank_lost_impression_share', index=40,
number=22, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='conversions_from_interactions_rate', full_name='google.ads.googleads.v1.common.Metrics.conversions_from_interactions_rate', index=41,
number=69, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='conversions_value', full_name='google.ads.googleads.v1.common.Metrics.conversions_value', index=42,
number=70, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='conversions_value_per_cost', full_name='google.ads.googleads.v1.common.Metrics.conversions_value_per_cost', index=43,
number=71, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='conversions_from_interactions_value_per_interaction', full_name='google.ads.googleads.v1.common.Metrics.conversions_from_interactions_value_per_interaction', index=44,
number=72, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='conversions', full_name='google.ads.googleads.v1.common.Metrics.conversions', index=45,
number=25, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='cost_micros', full_name='google.ads.googleads.v1.common.Metrics.cost_micros', index=46,
number=26, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='cost_per_all_conversions', full_name='google.ads.googleads.v1.common.Metrics.cost_per_all_conversions', index=47,
number=68, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='cost_per_conversion', full_name='google.ads.googleads.v1.common.Metrics.cost_per_conversion', index=48,
number=28, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='cost_per_current_model_attributed_conversion', full_name='google.ads.googleads.v1.common.Metrics.cost_per_current_model_attributed_conversion', index=49,
number=106, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='cross_device_conversions', full_name='google.ads.googleads.v1.common.Metrics.cross_device_conversions', index=50,
number=29, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='ctr', full_name='google.ads.googleads.v1.common.Metrics.ctr', index=51,
number=30, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='current_model_attributed_conversions', full_name='google.ads.googleads.v1.common.Metrics.current_model_attributed_conversions', index=52,
number=101, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='current_model_attributed_conversions_from_interactions_rate', full_name='google.ads.googleads.v1.common.Metrics.current_model_attributed_conversions_from_interactions_rate', index=53,
number=102, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='current_model_attributed_conversions_from_interactions_value_per_interaction', full_name='google.ads.googleads.v1.common.Metrics.current_model_attributed_conversions_from_interactions_value_per_interaction', index=54,
number=103, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='current_model_attributed_conversions_value', full_name='google.ads.googleads.v1.common.Metrics.current_model_attributed_conversions_value', index=55,
number=104, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='current_model_attributed_conversions_value_per_cost', full_name='google.ads.googleads.v1.common.Metrics.current_model_attributed_conversions_value_per_cost', index=56,
number=105, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='engagement_rate', full_name='google.ads.googleads.v1.common.Metrics.engagement_rate', index=57,
number=31, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='engagements', full_name='google.ads.googleads.v1.common.Metrics.engagements', index=58,
number=32, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='hotel_average_lead_value_micros', full_name='google.ads.googleads.v1.common.Metrics.hotel_average_lead_value_micros', index=59,
number=75, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='historical_creative_quality_score', full_name='google.ads.googleads.v1.common.Metrics.historical_creative_quality_score', index=60,
number=80, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='historical_landing_page_quality_score', full_name='google.ads.googleads.v1.common.Metrics.historical_landing_page_quality_score', index=61,
number=81, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='historical_quality_score', full_name='google.ads.googleads.v1.common.Metrics.historical_quality_score', index=62,
number=82, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='historical_search_predicted_ctr', full_name='google.ads.googleads.v1.common.Metrics.historical_search_predicted_ctr', index=63,
number=83, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='gmail_forwards', full_name='google.ads.googleads.v1.common.Metrics.gmail_forwards', index=64,
number=85, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='gmail_saves', full_name='google.ads.googleads.v1.common.Metrics.gmail_saves', index=65,
number=86, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='gmail_secondary_clicks', full_name='google.ads.googleads.v1.common.Metrics.gmail_secondary_clicks', index=66,
number=87, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='impression_reach', full_name='google.ads.googleads.v1.common.Metrics.impression_reach', index=67,
number=36, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='impressions_from_store_reach', full_name='google.ads.googleads.v1.common.Metrics.impressions_from_store_reach', index=68,
number=125, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='impressions', full_name='google.ads.googleads.v1.common.Metrics.impressions', index=69,
number=37, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='interaction_rate', full_name='google.ads.googleads.v1.common.Metrics.interaction_rate', index=70,
number=38, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='interactions', full_name='google.ads.googleads.v1.common.Metrics.interactions', index=71,
number=39, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='interaction_event_types', full_name='google.ads.googleads.v1.common.Metrics.interaction_event_types', index=72,
number=100, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='invalid_click_rate', full_name='google.ads.googleads.v1.common.Metrics.invalid_click_rate', index=73,
number=40, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='invalid_clicks', full_name='google.ads.googleads.v1.common.Metrics.invalid_clicks', index=74,
number=41, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='mobile_friendly_clicks_percentage', full_name='google.ads.googleads.v1.common.Metrics.mobile_friendly_clicks_percentage', index=75,
number=109, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='organic_clicks', full_name='google.ads.googleads.v1.common.Metrics.organic_clicks', index=76,
number=110, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='organic_clicks_per_query', full_name='google.ads.googleads.v1.common.Metrics.organic_clicks_per_query', index=77,
number=111, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='organic_impressions', full_name='google.ads.googleads.v1.common.Metrics.organic_impressions', index=78,
number=112, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='organic_impressions_per_query', full_name='google.ads.googleads.v1.common.Metrics.organic_impressions_per_query', index=79,
number=113, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='organic_queries', full_name='google.ads.googleads.v1.common.Metrics.organic_queries', index=80,
number=114, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='percent_new_visitors', full_name='google.ads.googleads.v1.common.Metrics.percent_new_visitors', index=81,
number=42, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='phone_calls', full_name='google.ads.googleads.v1.common.Metrics.phone_calls', index=82,
number=43, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='phone_impressions', full_name='google.ads.googleads.v1.common.Metrics.phone_impressions', index=83,
number=44, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='phone_through_rate', full_name='google.ads.googleads.v1.common.Metrics.phone_through_rate', index=84,
number=45, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='relative_ctr', full_name='google.ads.googleads.v1.common.Metrics.relative_ctr', index=85,
number=46, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_absolute_top_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_absolute_top_impression_share', index=86,
number=78, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_budget_lost_absolute_top_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_budget_lost_absolute_top_impression_share', index=87,
number=88, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_budget_lost_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_budget_lost_impression_share', index=88,
number=47, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_budget_lost_top_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_budget_lost_top_impression_share', index=89,
number=89, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_click_share', full_name='google.ads.googleads.v1.common.Metrics.search_click_share', index=90,
number=48, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_exact_match_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_exact_match_impression_share', index=91,
number=49, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_impression_share', index=92,
number=50, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_rank_lost_absolute_top_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_rank_lost_absolute_top_impression_share', index=93,
number=90, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_rank_lost_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_rank_lost_impression_share', index=94,
number=51, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_rank_lost_top_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_rank_lost_top_impression_share', index=95,
number=91, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='search_top_impression_share', full_name='google.ads.googleads.v1.common.Metrics.search_top_impression_share', index=96,
number=92, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='speed_score', full_name='google.ads.googleads.v1.common.Metrics.speed_score', index=97,
number=107, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='top_impression_percentage', full_name='google.ads.googleads.v1.common.Metrics.top_impression_percentage', index=98,
number=93, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='valid_accelerated_mobile_pages_clicks_percentage', full_name='google.ads.googleads.v1.common.Metrics.valid_accelerated_mobile_pages_clicks_percentage', index=99,
number=108, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value_per_all_conversions', full_name='google.ads.googleads.v1.common.Metrics.value_per_all_conversions', index=100,
number=52, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value_per_conversion', full_name='google.ads.googleads.v1.common.Metrics.value_per_conversion', index=101,
number=53, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value_per_current_model_attributed_conversion', full_name='google.ads.googleads.v1.common.Metrics.value_per_current_model_attributed_conversion', index=102,
number=94, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='video_quartile_100_rate', full_name='google.ads.googleads.v1.common.Metrics.video_quartile_100_rate', index=103,
number=54, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='video_quartile_25_rate', full_name='google.ads.googleads.v1.common.Metrics.video_quartile_25_rate', index=104,
number=55, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='video_quartile_50_rate', full_name='google.ads.googleads.v1.common.Metrics.video_quartile_50_rate', index=105,
number=56, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='video_quartile_75_rate', full_name='google.ads.googleads.v1.common.Metrics.video_quartile_75_rate', index=106,
number=57, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='video_view_rate', full_name='google.ads.googleads.v1.common.Metrics.video_view_rate', index=107,
number=58, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='video_views', full_name='google.ads.googleads.v1.common.Metrics.video_views', index=108,
number=59, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='view_through_conversions', full_name='google.ads.googleads.v1.common.Metrics.view_through_conversions', index=109,
number=60, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=279,
serialized_end=7626,
)
_METRICS.fields_by_name['absolute_top_impression_percentage'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['active_view_cpm'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['active_view_ctr'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['active_view_impressions'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['active_view_measurability'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['active_view_measurable_cost_micros'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['active_view_measurable_impressions'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['active_view_viewability'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_from_interactions_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_value'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_value_per_cost'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_from_click_to_call'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_from_directions'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_from_interactions_value_per_interaction'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_from_menu'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_from_order'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_from_other_engagement'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_from_store_visit'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['all_conversions_from_store_website'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['average_cost'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['average_cpc'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['average_cpe'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['average_cpm'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['average_cpv'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['average_frequency'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['average_page_views'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['average_position'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['average_time_on_site'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['benchmark_average_max_cpc'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['benchmark_ctr'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['bounce_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['clicks'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['combined_clicks'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['combined_clicks_per_query'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['combined_queries'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['content_budget_lost_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['content_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['conversion_last_received_request_date_time'].message_type = google_dot_protobuf_dot_wrappers__pb2._STRINGVALUE
_METRICS.fields_by_name['conversion_last_conversion_date'].message_type = google_dot_protobuf_dot_wrappers__pb2._STRINGVALUE
_METRICS.fields_by_name['content_rank_lost_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['conversions_from_interactions_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['conversions_value'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['conversions_value_per_cost'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['conversions_from_interactions_value_per_interaction'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['conversions'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['cost_micros'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['cost_per_all_conversions'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['cost_per_conversion'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['cost_per_current_model_attributed_conversion'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['cross_device_conversions'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['ctr'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['current_model_attributed_conversions'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['current_model_attributed_conversions_from_interactions_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['current_model_attributed_conversions_from_interactions_value_per_interaction'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['current_model_attributed_conversions_value'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['current_model_attributed_conversions_value_per_cost'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['engagement_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['engagements'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['hotel_average_lead_value_micros'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['historical_creative_quality_score'].enum_type = google_dot_ads_dot_googleads__v1_dot_proto_dot_enums_dot_quality__score__bucket__pb2._QUALITYSCOREBUCKETENUM_QUALITYSCOREBUCKET
_METRICS.fields_by_name['historical_landing_page_quality_score'].enum_type = google_dot_ads_dot_googleads__v1_dot_proto_dot_enums_dot_quality__score__bucket__pb2._QUALITYSCOREBUCKETENUM_QUALITYSCOREBUCKET
_METRICS.fields_by_name['historical_quality_score'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['historical_search_predicted_ctr'].enum_type = google_dot_ads_dot_googleads__v1_dot_proto_dot_enums_dot_quality__score__bucket__pb2._QUALITYSCOREBUCKETENUM_QUALITYSCOREBUCKET
_METRICS.fields_by_name['gmail_forwards'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['gmail_saves'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['gmail_secondary_clicks'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['impression_reach'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['impressions_from_store_reach'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['impressions'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['interaction_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['interactions'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['interaction_event_types'].enum_type = google_dot_ads_dot_googleads__v1_dot_proto_dot_enums_dot_interaction__event__type__pb2._INTERACTIONEVENTTYPEENUM_INTERACTIONEVENTTYPE
_METRICS.fields_by_name['invalid_click_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['invalid_clicks'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['mobile_friendly_clicks_percentage'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['organic_clicks'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['organic_clicks_per_query'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['organic_impressions'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['organic_impressions_per_query'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['organic_queries'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['percent_new_visitors'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['phone_calls'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['phone_impressions'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['phone_through_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['relative_ctr'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_absolute_top_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_budget_lost_absolute_top_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_budget_lost_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_budget_lost_top_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_click_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_exact_match_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_rank_lost_absolute_top_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_rank_lost_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_rank_lost_top_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['search_top_impression_share'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['speed_score'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['top_impression_percentage'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['valid_accelerated_mobile_pages_clicks_percentage'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['value_per_all_conversions'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['value_per_conversion'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['value_per_current_model_attributed_conversion'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['video_quartile_100_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['video_quartile_25_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['video_quartile_50_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['video_quartile_75_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['video_view_rate'].message_type = google_dot_protobuf_dot_wrappers__pb2._DOUBLEVALUE
_METRICS.fields_by_name['video_views'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_METRICS.fields_by_name['view_through_conversions'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
DESCRIPTOR.message_types_by_name['Metrics'] = _METRICS
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
Metrics = _reflection.GeneratedProtocolMessageType('Metrics', (_message.Message,), dict(
DESCRIPTOR = _METRICS,
__module__ = 'google.ads.googleads_v1.proto.common.metrics_pb2'
,
__doc__ = """Metrics data.
Attributes:
absolute_top_impression_percentage:
The percent of your ad impressions that are shown as the very
first ad above the organic search results.
active_view_cpm:
Average cost of viewable impressions
(``active_view_impressions``).
active_view_ctr:
Active view measurable clicks divided by active view viewable
impressions. This metric is reported only for display network.
active_view_impressions:
A measurement of how often your ad has become viewable on a
Display Network site.
active_view_measurability:
The ratio of impressions that could be measured by Active View
over the number of served impressions.
active_view_measurable_cost_micros:
The cost of the impressions you received that were measurable
by Active View.
active_view_measurable_impressions:
The number of times your ads are appearing on placements in
positions where they can be seen.
active_view_viewability:
The percentage of time when your ad appeared on an Active View
enabled site (measurable impressions) and was viewable
(viewable impressions).
all_conversions_from_interactions_rate:
All conversions from interactions (as oppose to view through
conversions) divided by the number of ad interactions.
all_conversions_value:
The total value of all conversions.
all_conversions:
The total number of conversions. This only includes conversion
actions which include\_in\_conversions\_metric attribute is
set to true.
all_conversions_value_per_cost:
The value of all conversions divided by the total cost of ad
interactions (such as clicks for text ads or views for video
ads).
all_conversions_from_click_to_call:
The number of times people clicked the "Call" button to call a
store during or after clicking an ad. This number doesn't
include whether or not calls were connected, or the duration
of any calls. This metric applies to feed items only.
all_conversions_from_directions:
The number of times people clicked a "Get directions" button
to navigate to a store after clicking an ad. This metric
applies to feed items only.
all_conversions_from_interactions_value_per_interaction:
The value of all conversions from interactions divided by the
total number of interactions.
all_conversions_from_menu:
The number of times people clicked a link to view a store's
menu after clicking an ad. This metric applies to feed items
only.
all_conversions_from_order:
The number of times people placed an order at a store after
clicking an ad. This metric applies to feed items only.
all_conversions_from_other_engagement:
The number of other conversions (for example, posting a review
or saving a location for a store) that occurred after people
clicked an ad. This metric applies to feed items only.
all_conversions_from_store_visit:
Estimated number of times people visited a store after
clicking an ad. This metric applies to feed items only.
all_conversions_from_store_website:
The number of times that people were taken to a store's URL
after clicking an ad. This metric applies to feed items only.
average_cost:
The average amount you pay per interaction. This amount is the
total cost of your ads divided by the total number of
interactions.
average_cpc:
The total cost of all clicks divided by the total number of
clicks received.
average_cpe:
The average amount that you've been charged for an ad
engagement. This amount is the total cost of all ad
engagements divided by the total number of ad engagements.
average_cpm:
Average cost-per-thousand impressions (CPM).
average_cpv:
The average amount you pay each time someone views your ad.
The average CPV is defined by the total cost of all ad views
divided by the number of views.
average_frequency:
Average number of times a unique cookie was exposed to your ad
over a given time period. Imported from Google Analytics.
average_page_views:
Average number of pages viewed per session.
average_position:
Your ad's position relative to those of other advertisers.
average_time_on_site:
Total duration of all sessions (in seconds) / number of
sessions. Imported from Google Analytics.
benchmark_average_max_cpc:
An indication of how other advertisers are bidding on similar
products.
benchmark_ctr:
An indication on how other advertisers' Shopping ads for
similar products are performing based on how often people who
see their ad click on it.
bounce_rate:
Percentage of clicks where the user only visited a single page
on your site. Imported from Google Analytics.
clicks:
The number of clicks.
combined_clicks:
The number of times your ad or your site's listing in the
unpaid results was clicked. See the help page at
https://support.google.com/google-ads/answer/3097241 for
details.
combined_clicks_per_query:
The number of times your ad or your site's listing in the
unpaid results was clicked (combined\_clicks) divided by
combined\_queries. See the help page at
https://support.google.com/google-ads/answer/3097241 for
details.
combined_queries:
The number of searches that returned pages from your site in
the unpaid results or showed one of your text ads. See the
help page at https://support.google.com/google-
ads/answer/3097241 for details.
content_budget_lost_impression_share:
The estimated percent of times that your ad was eligible to
show on the Display Network but didn't because your budget was
too low. Note: Content budget lost impression share is
reported in the range of 0 to 0.9. Any value above 0.9 is
reported as 0.9001.
content_impression_share:
The impressions you've received on the Display Network divided
by the estimated number of impressions you were eligible to
receive. Note: Content impression share is reported in the
range of 0.1 to 1. Any value below 0.1 is reported as 0.0999.
conversion_last_received_request_date_time:
The last date/time a conversion tag for this conversion action
successfully fired and was seen by Google Ads. This firing
event may not have been the result of an attributable
conversion (e.g. because the tag was fired from a browser that
did not previously click an ad from an appropriate
advertiser). The date/time is in the customer's time zone.
conversion_last_conversion_date:
The date of the most recent conversion for this conversion
action. The date is in the customer's time zone.
content_rank_lost_impression_share:
The estimated percentage of impressions on the Display Network
that your ads didn't receive due to poor Ad Rank. Note:
Content rank lost impression share is reported in the range of
0 to 0.9. Any value above 0.9 is reported as 0.9001.
conversions_from_interactions_rate:
Conversions from interactions divided by the number of ad
interactions (such as clicks for text ads or views for video
ads). This only includes conversion actions which
include\_in\_conversions\_metric attribute is set to true.
conversions_value:
The total value of conversions. This only includes conversion
actions which include\_in\_conversions\_metric attribute is
set to true.
conversions_value_per_cost:
The value of conversions divided by the cost of ad
interactions. This only includes conversion actions which
include\_in\_conversions\_metric attribute is set to true.
conversions_from_interactions_value_per_interaction:
The value of conversions from interactions divided by the
number of ad interactions. This only includes conversion
actions which include\_in\_conversions\_metric attribute is
set to true.
conversions:
The number of conversions. This only includes conversion
actions which include\_in\_conversions\_metric attribute is
set to true.
cost_micros:
The sum of your cost-per-click (CPC) and cost-per-thousand
impressions (CPM) costs during this period.
cost_per_all_conversions:
The cost of ad interactions divided by all conversions.
cost_per_conversion:
The cost of ad interactions divided by conversions. This only
includes conversion actions which
include\_in\_conversions\_metric attribute is set to true.
cost_per_current_model_attributed_conversion:
The cost of ad interactions divided by current model
attributed conversions. This only includes conversion actions
which include\_in\_conversions\_metric attribute is set to
true.
cross_device_conversions:
Conversions from when a customer clicks on a Google Ads ad on
one device, then converts on a different device or browser.
Cross-device conversions are already included in
all\_conversions.
ctr:
The number of clicks your ad receives (Clicks) divided by the
number of times your ad is shown (Impressions).
current_model_attributed_conversions:
Shows how your historic conversions data would look under the
attribution model you've currently selected. This only
includes conversion actions which
include\_in\_conversions\_metric attribute is set to true.
current_model_attributed_conversions_from_interactions_rate:
Current model attributed conversions from interactions divided
by the number of ad interactions (such as clicks for text ads
or views for video ads). This only includes conversion actions
which include\_in\_conversions\_metric attribute is set to
true.
current_model_attributed_conversions_from_interactions_value_per_interaction:
The value of current model attributed conversions from
interactions divided by the number of ad interactions. This
only includes conversion actions which
include\_in\_conversions\_metric attribute is set to true.
current_model_attributed_conversions_value:
The total value of current model attributed conversions. This
only includes conversion actions which
include\_in\_conversions\_metric attribute is set to true.
current_model_attributed_conversions_value_per_cost:
The value of current model attributed conversions divided by
the cost of ad interactions. This only includes conversion
actions which include\_in\_conversions\_metric attribute is
set to true.
engagement_rate:
How often people engage with your ad after it's shown to them.
This is the number of ad expansions divided by the number of
times your ad is shown.
engagements:
The number of engagements. An engagement occurs when a viewer
expands your Lightbox ad. Also, in the future, other ad types
may support engagement metrics.
hotel_average_lead_value_micros:
Average lead value of hotel.
historical_creative_quality_score:
The creative historical quality score.
historical_landing_page_quality_score:
The quality of historical landing page experience.
historical_quality_score:
The historical quality score.
historical_search_predicted_ctr:
The historical search predicted click through rate (CTR).
gmail_forwards:
The number of times the ad was forwarded to someone else as a
message.
gmail_saves:
The number of times someone has saved your Gmail ad to their
inbox as a message.
gmail_secondary_clicks:
The number of clicks to the landing page on the expanded state
of Gmail ads.
impression_reach:
Number of unique cookies that were exposed to your ad over a
given time period.
impressions_from_store_reach:
The number of times a store's location-based ad was shown.
This metric applies to feed items only.
impressions:
Count of how often your ad has appeared on a search results
page or website on the Google Network.
interaction_rate:
How often people interact with your ad after it is shown to
them. This is the number of interactions divided by the number
of times your ad is shown.
interactions:
The number of interactions. An interaction is the main user
action associated with an ad format-clicks for text and
shopping ads, views for video ads, and so on.
interaction_event_types:
The types of payable and free interactions.
invalid_click_rate:
The percentage of clicks filtered out of your total number of
clicks (filtered + non-filtered clicks) during the reporting
period.
invalid_clicks:
Number of clicks Google considers illegitimate and doesn't
charge you for.
mobile_friendly_clicks_percentage:
The percentage of mobile clicks that go to a mobile-friendly
page.
organic_clicks:
The number of times someone clicked your site's listing in the
unpaid results for a particular query. See the help page at
https://support.google.com/google-ads/answer/3097241 for
details.
organic_clicks_per_query:
The number of times someone clicked your site's listing in the
unpaid results (organic\_clicks) divided by the total number
of searches that returned pages from your site
(organic\_queries). See the help page at
https://support.google.com/google-ads/answer/3097241 for
details.
organic_impressions:
The number of listings for your site in the unpaid search
results. See the help page at
https://support.google.com/google-ads/answer/3097241 for
details.
organic_impressions_per_query:
The number of times a page from your site was listed in the
unpaid search results (organic\_impressions) divided by the
number of searches returning your site's listing in the unpaid
results (organic\_queries). See the help page at
https://support.google.com/google-ads/answer/3097241 for
details.
organic_queries:
The total number of searches that returned your site's listing
in the unpaid results. See the help page at
https://support.google.com/google-ads/answer/3097241 for
details.
percent_new_visitors:
Percentage of first-time sessions (from people who had never
visited your site before). Imported from Google Analytics.
phone_calls:
Number of offline phone calls.
phone_impressions:
Number of offline phone impressions.
phone_through_rate:
Number of phone calls received (phone\_calls) divided by the
number of times your phone number is shown
(phone\_impressions).
relative_ctr:
Your clickthrough rate (Ctr) divided by the average
clickthrough rate of all advertisers on the websites that show
your ads. Measures how your ads perform on Display Network
sites compared to other ads on the same sites.
search_absolute_top_impression_share:
The percentage of the customer's Shopping or Search ad
impressions that are shown in the most prominent Shopping
position. See this Merchant Center article for details. Any
value below 0.1 is reported as 0.0999.
search_budget_lost_absolute_top_impression_share:
The number estimating how often your ad wasn't the very first
ad above the organic search results due to a low budget. Note:
Search budget lost absolute top impression share is reported
in the range of 0 to 0.9. Any value above 0.9 is reported as
0.9001.
search_budget_lost_impression_share:
The estimated percent of times that your ad was eligible to
show on the Search Network but didn't because your budget was
too low. Note: Search budget lost impression share is reported
in the range of 0 to 0.9. Any value above 0.9 is reported as
0.9001.
search_budget_lost_top_impression_share:
The number estimating how often your ad didn't show anywhere
above the organic search results due to a low budget. Note:
Search budget lost top impression share is reported in the
range of 0 to 0.9. Any value above 0.9 is reported as 0.9001.
search_click_share:
The number of clicks you've received on the Search Network
divided by the estimated number of clicks you were eligible to
receive. Note: Search click share is reported in the range of
0.1 to 1. Any value below 0.1 is reported as 0.0999.
search_exact_match_impression_share:
The impressions you've received divided by the estimated
number of impressions you were eligible to receive on the
Search Network for search terms that matched your keywords
exactly (or were close variants of your keyword), regardless
of your keyword match types. Note: Search exact match
impression share is reported in the range of 0.1 to 1. Any
value below 0.1 is reported as 0.0999.
search_impression_share:
The impressions you've received on the Search Network divided
by the estimated number of impressions you were eligible to
receive. Note: Search impression share is reported in the
range of 0.1 to 1. Any value below 0.1 is reported as 0.0999.
search_rank_lost_absolute_top_impression_share:
The number estimating how often your ad wasn't the very first
ad above the organic search results due to poor Ad Rank. Note:
Search rank lost absolute top impression share is reported in
the range of 0 to 0.9. Any value above 0.9 is reported as
0.9001.
search_rank_lost_impression_share:
The estimated percentage of impressions on the Search Network
that your ads didn't receive due to poor Ad Rank. Note: Search
rank lost impression share is reported in the range of 0 to
0.9. Any value above 0.9 is reported as 0.9001.
search_rank_lost_top_impression_share:
The number estimating how often your ad didn't show anywhere
above the organic search results due to poor Ad Rank. Note:
Search rank lost top impression share is reported in the range
of 0 to 0.9. Any value above 0.9 is reported as 0.9001.
search_top_impression_share:
The impressions you've received in the top location (anywhere
above the organic search results) compared to the estimated
number of impressions you were eligible to receive in the top
location. Note: Search top impression share is reported in the
range of 0.1 to 1. Any value below 0.1 is reported as 0.0999.
speed_score:
A measure of how quickly your page loads after clicks on your
mobile ads. The score is a range from 1 to 10, 10 being the
fastest.
top_impression_percentage:
The percent of your ad impressions that are shown anywhere
above the organic search results.
valid_accelerated_mobile_pages_clicks_percentage:
The percentage of ad clicks to Accelerated Mobile Pages (AMP)
landing pages that reach a valid AMP page.
value_per_all_conversions:
The value of all conversions divided by the number of all
conversions.
value_per_conversion:
The value of conversions divided by the number of conversions.
This only includes conversion actions which
include\_in\_conversions\_metric attribute is set to true.
value_per_current_model_attributed_conversion:
The value of current model attributed conversions divided by
the number of the conversions. This only includes conversion
actions which include\_in\_conversions\_metric attribute is
set to true.
video_quartile_100_rate:
Percentage of impressions where the viewer watched all of your
video.
video_quartile_25_rate:
Percentage of impressions where the viewer watched 25% of your
video.
video_quartile_50_rate:
Percentage of impressions where the viewer watched 50% of your
video.
video_quartile_75_rate:
Percentage of impressions where the viewer watched 75% of your
video.
video_view_rate:
The number of views your TrueView video ad receives divided by
its number of impressions, including thumbnail impressions for
TrueView in-display ads.
video_views:
The number of times your video ads were viewed.
view_through_conversions:
The total number of view-through conversions. These happen
when a customer sees an image or rich media ad, then later
completes a conversion on your site without interacting with
(e.g., clicking on) another ad.
""",
# @@protoc_insertion_point(class_scope:google.ads.googleads.v1.common.Metrics)
))
_sym_db.RegisterMessage(Metrics)
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope)
|
[
"noreply@github.com"
] |
juanmacugat.noreply@github.com
|
c35c47d85e8eaf7ce3ec0cafdf48201c7f443497
|
647d4a050fb9a702d07b33d3bdea48c4bb3bc94a
|
/1_term/Homeworks/Homework 7/problem 7_2.py
|
62adce546a2268be3fbf1a60e67bb170231af595
|
[] |
no_license
|
MaximPushkar/PythonUniversity
|
22b54741a13dc50f1c038cbe3fbbd0dfee479b77
|
25f99d00f935cf3cb6fcc8fcb1d2626b9759304d
|
refs/heads/master
| 2021-08-16T07:56:24.497993
| 2021-06-02T06:29:41
| 2021-06-02T06:29:41
| 254,047,704
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 204
|
py
|
l = list(map(int, input().split()))
a, b, c = l[0], l[1], l[2]
x = max(a, b, c)
y = min(a, b, c)
if a != x and a != y:
print(a)
if b != x and b != y:
print(b)
if c != x and c != y:
print(c)
|
[
"makspushkar@gmail.com"
] |
makspushkar@gmail.com
|
c7231865f40b0e48fc88eca1e0906a627b701028
|
d50fa5ec641441af13a2adae13553aff0a7a9afa
|
/intellexer/comparator/__init__.py
|
b37349634d0c750fa45851b6d11e1d5c5047a063
|
[] |
no_license
|
kai3341/intellexer-python
|
025b65b6bf11dbb7ebd061e0eb6f1d452b26a468
|
df925db6fe4fcf645a7d83cf3f1fdf98e12c4106
|
refs/heads/master
| 2020-05-06T13:47:52.190941
| 2019-04-17T18:28:18
| 2019-04-17T18:28:18
| 180,156,646
| 0
| 0
| null | 2019-04-17T18:28:19
| 2019-04-08T13:36:12
|
Python
|
UTF-8
|
Python
| false
| false
| 29
|
py
|
from .main import Comparator
|
[
"antonk@esl236.es.local"
] |
antonk@esl236.es.local
|
180a77651c0bba342cf5dbf9653fb4cdd9a2f4fe
|
64575084a709abd2f034fa8baf9fe9bb15f0303d
|
/timeline/migrations/0006_auto_20210208_1125.py
|
de8370c78fcbbca5f6c64da4a6666ac06365d1a4
|
[] |
no_license
|
AsiriAmalk/fb_replica
|
616041a6134b879884a4349159ae41c6df72d2d1
|
bdd7af6aee90813393139ff03241163c68ff8b34
|
refs/heads/master
| 2023-02-26T18:30:20.729120
| 2021-02-08T09:15:30
| 2021-02-08T09:15:30
| 336,967,775
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 419
|
py
|
# Generated by Django 3.1.6 on 2021-02-08 05:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('timeline', '0005_postfiles_file_name'),
]
operations = [
migrations.AlterField(
model_name='postfiles',
name='file_name',
field=models.CharField(default='Unnamed File', max_length=256),
),
]
|
[
"asiri.15@cse.mrt.ac.lk"
] |
asiri.15@cse.mrt.ac.lk
|
b81e8278d7b20ea07e4043a857d5a74b10a2fb8a
|
cc2a00ce7e05245327ce8da85d0e3aa01d9635b9
|
/Q_learning/Tank_1/main.py
|
bd3fa0cfeb2628b937d011b3d66b22c2f652a843
|
[] |
no_license
|
puttak/Reinforcement-Learning-in-Process-Control
|
f7c05a0ed41826cb1d7248caffdb3c47bbe66df0
|
852967e97b2fb0b6c5022365c9ef62906c099832
|
refs/heads/master
| 2020-05-03T21:56:33.515929
| 2019-03-21T08:28:36
| 2019-03-21T08:28:36
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,897
|
py
|
# Add the ptdraft folder path to the sys.path list
# sys.path.append("C:/Users/eskil/Google Drive/Skolearbeid/5. klasse/Master")
from models.environment import Environment
from models.Agent import Agent
from params import MAIN_PARAMS, AGENT_PARAMS, TANK_PARAMS, TANK_DIST
import os
import matplotlib.pyplot as plt
import numpy as np
import keyboard
from rewards import get_reward_2 as get_reward
from rewards import sum_rewards
plt.style.use("ggplot")
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
def main():
# ============= Initialize variables and objects ===========#
max_mean_reward = 50 * len(TANK_PARAMS)
environment = Environment(TANK_PARAMS, TANK_DIST, MAIN_PARAMS)
agent = Agent(AGENT_PARAMS)
mean_episode = MAIN_PARAMS["MEAN_EPISODE"]
episodes = MAIN_PARAMS["EPISODES"]
all_rewards = []
all_mean_rewards = []
# ================= Running episodes =================#
try:
for e in range(episodes):
states, episode_reward = environment.reset() # Reset level in tank
for t in range(MAIN_PARAMS["MAX_TIME"]):
actions = agent.act(states[-1]) # get action choice from state
z = agent.get_z(actions)
terminated, next_state = environment.get_next_state(
z, states[-1], t
) # Calculate next state with action
rewards = sum_rewards(
next_state, terminated, get_reward
) # get reward from transition to next state
# Store data
episode_reward.append(np.sum(rewards))
states.append(next_state)
agent.remember(states, rewards, terminated, t)
if environment.show_rendering:
environment.render(z)
if True in terminated:
break
all_rewards.append(np.sum(np.array(episode_reward)))
# Print mean reward and save better models
if e % mean_episode == 0 and e != 0:
mean_reward = np.mean(all_rewards[-mean_episode:])
all_mean_rewards.append(mean_reward)
print(
"{} of {}/{} episodes\
reward: {} exp: {}".format(
mean_episode,
e,
episodes,
round(mean_reward, 2),
round(agent.epsilon[0], 2),
)
)
if agent.save_model_bool:
max_mean_reward = agent.save_model(
mean_reward, max_mean_reward
)
# Train model
if agent.is_ready():
agent.Qreplay(e)
if keyboard.is_pressed("ctrl+x"):
break
if environment.live_plot:
environment.plot(all_rewards, agent.epsilon)
if not environment.running:
break
# if agent.epsilon <= agent.epsilon_min:
# break
except KeyboardInterrupt:
pass
print("Memory length: {}".format(len(agent.memory)))
print("##### {} EPISODES DONE #####".format(e + 1))
print("Max rewards for all episodes: {}".format(np.max(all_rewards)))
plt.ioff()
plt.clf()
x_range = np.arange(0, e - e % mean_episode, mean_episode)
plt.plot(x_range, all_mean_rewards)
plt.ylabel("Mean rewards of last {} episodes".format(mean_episode))
plt.show()
if __name__ == "__main__":
print("#### SIMULATION STARTED ####")
print(" Max number of episodes: {}".format(MAIN_PARAMS["EPISODES"]))
print(" Max time in each episode: {}".format(MAIN_PARAMS["MAX_TIME"]))
print(
" {}Rendring simulation ".format(
"" if MAIN_PARAMS["RENDER"] else "Not "
)
)
main()
|
[
"eskild.emedd33@gmail.com"
] |
eskild.emedd33@gmail.com
|
0923c8c32c00d1ff45779f2ef45ff25e9f5274e0
|
22cfe0051c505e569d6d5e4c814c5ab569ca138f
|
/add_str.py
|
f67d8bb6f7891ed529af3eb7ac5fdc0231ac8ce3
|
[] |
no_license
|
haowenchao123/Leetcode_python
|
01715fd1867996e2d41fe193c3f069a0735582a0
|
d054cdbfb6f2e0ab6f1ef3b2541612bf57f7c90a
|
refs/heads/master
| 2022-02-21T11:46:36.231521
| 2019-09-02T08:19:48
| 2019-09-02T08:19:48
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 398
|
py
|
'''
给定两个字符串形式的非负整数 num1 和num2 ，计算它们的和。
注意：
num1 和num2 的长度都小于 5100.
num1 和num2 都只包含数字 0-9.
num1 和num2 都不包含任何前导零。
你不能使用任何內建 BigInteger 库， 也不能直接将输入的字符串转换为整数形式。
'''
class Solution:
def addStrings(self, num1: str, num2: str) -> str:
|
[
"haowenchao123@gmail.com"
] |
haowenchao123@gmail.com
|
a71100ee185d5f0d009211c97743687556883d4a
|
7ddbf0b004a29e69513204ecf19de11d437d65ba
|
/application.py
|
2011bcdbe5130931c4474e6fa36942f35b4dfe14
|
[] |
no_license
|
bukovinsky/paypage-app1
|
3c65b56b507df18db1ba181c5b8288419ca8f869
|
aef1a5133eb0447545ab0f1884f73f7f835f4fc4
|
refs/heads/master
| 2022-12-22T06:48:04.978361
| 2019-02-19T11:07:19
| 2019-02-19T11:07:19
| 171,346,316
| 0
| 0
| null | 2022-12-08T01:37:27
| 2019-02-18T19:49:37
|
Python
|
UTF-8
|
Python
| false
| false
| 1,284
|
py
|
import logging
from flask import Flask, render_template, session, redirect, url_for, request, make_response
from application.forms import MainForm, create_form
import requests
# application
from application.views import Payment
from application.models import *
# Basic configuration for logging
logging.basicConfig(filename='loggingg.log', filemode='w', level=logging.DEBUG)
STORE_SETTINGS = {
'STORE_SECRET':'SecretKey01',
'STORE_CURRENCY':'840',
'shop_id':'5',
'currencies':('978', '840', '643', '980'),
'payway':'payeer_rub',
#'form_fields': list(MainForm._meta.fields.keys()),
}
DATABASE = {
'name':'database/pbase.db',
'engine':'peewee.SqliteDatabase'
}
SECRET_KEY = 'd0231b4d850c657d6f5d31a56c68469c14ebd26ad3151dd18bde5e90b585f9c8'
CURRENCIES_METHODS = {
'0':'',
'978':'',
'840':'',
'643':'',
}
app = Flask(__name__)
app.config.from_object(__name__)
@app.route('/', methods=['GET','POST'])
def index():
frm = MainForm()
if request.method=='POST':
paym = Payment(request, STORE_SETTINGS)
return make_response(paym.make_result(PaymentParams, 'payCurrency', request.form.get('currency')))
return render_template('spa_application.html', frm=frm)
if __name__ == '__main__':
app.run(debug=True)
|
[
"timkramerok@gmail.com"
] |
timkramerok@gmail.com
|
e0dcdd338f02911972cbd6e74097c9bf46d23e95
|
693c8738997d02eea145c48bc2791dcc9e9660ba
|
/src/testCase/romd/scenario/test_s_a_set302.py
|
2c6f50ceb64150d609038cd6eb83b92fc1be4154
|
[] |
no_license
|
maxuechaogao/ap_test_cs
|
7d57ec66a58dcf042132597dd550da6ed37807cf
|
ab92efa6584d231b150420e68a35b1625bbfd70a
|
refs/heads/master
| 2021-04-26T22:17:37.097113
| 2018-03-06T11:04:07
| 2018-03-06T11:04:07
| 124,064,328
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 260
|
py
|
# coding:utf-8
__author__ = 'xcma'
from src.controll.AboutTestcase import TestCase
from src.func.helper.log import log
log = log()
class Heart(TestCase):
def test_a_main_process(self):
'''设置302'''
self.udp(self.getParam().set302)
|
[
"maxc@supervcloud.com"
] |
maxc@supervcloud.com
|
2ce0cfa422e427038019818f0bb20e1a76c70dea
|
649bd422025e421d86025743eac324c9b882a2e8
|
/exam/1_three-dimensional_atomic_system/dump/phasetrans/temp131_9000.py
|
0f4bbbc10fb1931bc9e577fc53fbe4b497a9b7ba
|
[] |
no_license
|
scheuclu/atom_class
|
36ddee1f6a5995872e858add151c5942c109847c
|
0c9a8c63d9b38898c1869fe8983126cef17662cd
|
refs/heads/master
| 2021-01-21T10:52:28.448221
| 2017-03-07T23:04:41
| 2017-03-07T23:04:41
| 83,489,471
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 68,821
|
py
|
ITEM: TIMESTEP
9000
ITEM: NUMBER OF ATOMS
2048
ITEM: BOX BOUNDS pp pp pp
-1.7670113513643848e+00 4.8967011351357613e+01
-1.7670113513643848e+00 4.8967011351357613e+01
-1.7670113513643848e+00 4.8967011351357613e+01
ITEM: ATOMS id type xs ys zs
40 1 0.0553833 0.0815896 0.0631967
5 1 0.0891973 0.100476 0.152519
39 1 0.120387 0.0259949 0.0753868
1382 1 0.0752788 0.148785 0.0933909
194 1 0.107407 0.123999 0.0302167
205 1 0.140049 0.0993292 0.0908989
257 1 0.00564804 0.124938 0.155145
261 1 0.0533875 0.0423669 0.12941
1260 1 0.13993 0.042859 0.154686
1126 1 0.0438624 0.00255627 0.0580506
899 1 0.131643 0.0305908 0.00301332
771 1 0.0159675 0.0529534 0.00221956
1386 1 0.143771 0.154926 0.148621
173 1 0.177227 0.102579 0.0125819
14 1 0.212431 0.0282821 0.00851785
273 1 0.27572 0.0554832 0.0590233
48 1 0.211083 0.0820778 0.0948373
1003 1 0.196799 0.156641 0.0712186
85 1 0.251687 0.162059 0.0137443
1131 1 0.254479 0.0239368 0.126385
270 1 0.345651 0.0428176 0.0851055
305 1 0.287397 0.0957535 0.132173
15 1 0.287994 0.135447 0.0672026
303 1 0.398528 0.089102 0.060376
51 1 0.36488 0.14364 0.0108854
11 1 0.337352 0.022033 0.0128739
298 1 0.357318 0.132322 0.163589
1264 1 0.401604 0.00629584 0.0465833
1396 1 0.371012 0.0403791 0.154054
18 1 0.509524 0.128538 0.0250392
271 1 0.470004 0.0670516 0.0383471
1522 1 0.434242 0.017127 0.11452
309 1 0.439789 0.151899 0.0704124
143 1 0.510621 0.136769 0.107636
277 1 0.530161 0.0609378 0.0965426
178 1 0.544127 0.0460613 0.0212033
466 1 0.555654 0.0975034 0.162994
145 1 0.567203 0.00438909 0.140078
146 1 0.595572 0.0987073 0.0188399
153 1 0.659535 0.0983179 0.0633062
184 1 0.608011 0.0433375 0.0712253
275 1 0.637614 0.0710365 0.136606
312 1 0.592383 0.127506 0.103495
919 1 0.666779 0.0342078 0.015294
185 1 0.670015 0.143543 0.134942
1273 1 0.698945 0.0284919 0.106305
960 1 0.729082 0.108566 0.0860171
186 1 0.776166 0.0579636 0.107536
30 1 0.829923 0.0670628 0.0201088
956 1 0.761003 0.137471 0.152307
318 1 0.82485 0.138208 0.0581695
929 1 0.74972 0.0314795 0.027311
192 1 0.826772 0.0373709 0.166141
958 1 0.894198 0.0151348 0.0505773
904 1 0.941642 0.0782424 0.132116
95 1 0.858567 0.0999261 0.126823
1986 1 0.948409 0.0747507 0.0414825
68 1 0.902626 0.141506 0.0700591
7 1 0.999583 0.144335 0.0782763
193 1 0.918518 0.154137 0.143081
900 1 0.890324 0.0171214 0.136428
2026 1 0.974685 0.00616262 0.0344303
963 1 0.105109 0.25989 0.044931
71 1 0.126443 0.193349 0.0721219
201 1 0.0554603 0.202511 0.0436668
97 1 0.0228769 0.223994 0.118938
233 1 0.0331267 0.280853 0.0702109
262 1 0.0622995 0.179094 0.166234
225 1 0.0687551 0.331598 0.0100013
199 1 0.106431 0.333027 0.159974
163 1 0.0210132 0.302442 0.150608
297 1 0.0805893 0.259541 0.157817
104 1 0.181495 0.209081 0.00923857
137 1 0.220392 0.183827 0.14433
38 1 0.201443 0.23917 0.0948528
44 1 0.240154 0.259524 0.152785
134 1 0.175632 0.316271 0.0799322
80 1 0.241841 0.299846 0.057841
947 1 0.268081 0.222113 0.0564066
133 1 0.163762 0.285588 0.159698
165 1 0.250035 0.327552 0.154039
206 1 0.348613 0.194537 0.0719562
140 1 0.291583 0.198463 0.132239
75 1 0.377622 0.300843 0.0821566
330 1 0.308603 0.298491 0.107635
175 1 0.393093 0.198346 0.140193
179 1 0.40505 0.220238 0.0292519
210 1 0.421407 0.323781 0.151527
242 1 0.390606 0.299461 0.0148369
209 1 0.319913 0.273023 0.0374258
216 1 0.459562 0.220072 0.0946907
241 1 0.538738 0.195973 0.0851077
342 1 0.500042 0.282471 0.136318
118 1 0.535327 0.270182 0.0664169
1039 1 0.472126 0.285272 0.0172656
50 1 0.49607 0.211495 0.0174599
181 1 0.568736 0.209912 0.00127728
215 1 0.662734 0.185265 0.00727116
219 1 0.693228 0.199314 0.0764216
855 1 0.612777 0.215768 0.0683727
248 1 0.651364 0.301144 0.0436984
249 1 0.588311 0.261413 0.12085
214 1 0.641704 0.212705 0.155402
1170 1 0.575213 0.332843 0.0848777
983 1 0.585788 0.293792 0.0106652
1304 1 0.699337 0.302633 0.146258
87 1 0.771305 0.19063 0.0479259
125 1 0.826994 0.283252 0.0450514
126 1 0.742351 0.260655 0.0892706
60 1 0.792134 0.209147 0.128494
36 1 0.840629 0.280854 0.120251
123 1 0.721739 0.221881 0.157308
897 1 0.966682 0.175515 0.0236464
33 1 0.882852 0.222467 0.124406
89 1 0.952102 0.205392 0.0958323
988 1 0.905322 0.266533 0.0688944
99 1 0.937108 0.276558 0.164472
226 1 0.963497 0.299109 0.0970848
34 1 0.891068 0.206488 0.0327686
62 1 0.970358 0.249739 0.0297673
965 1 0.096131 0.44929 0.0465312
228 1 0.114306 0.498553 0.132965
70 1 0.0829852 0.370716 0.0923374
101 1 0.0264095 0.426996 0.0458828
968 1 0.00421479 0.377683 0.112652
103 1 0.0543785 0.439862 0.116772
1159 1 0.141734 0.386017 0.0456234
198 1 0.114338 0.41389 0.148106
970 1 0.274419 0.407999 0.00134208
871 1 0.174317 0.42224 0.0969331
334 1 0.167553 0.363263 0.144286
235 1 0.206423 0.461623 0.0356819
208 1 0.22919 0.38643 0.0570689
237 1 0.245762 0.412323 0.142565
203 1 0.269432 0.449837 0.0855566
1799 1 0.203022 0.483441 0.121167
170 1 0.302461 0.363884 0.0530197
362 1 0.339224 0.406084 0.112033
1165 1 0.413782 0.445172 0.0559888
1295 1 0.377429 0.371069 0.0629446
366 1 0.348397 0.347172 0.157407
338 1 0.417186 0.401784 0.123366
1161 1 0.357953 0.417662 0.00834905
1297 1 0.342368 0.492875 0.118585
105 1 0.311035 0.48437 0.0127857
243 1 0.46824 0.346798 0.0829782
111 1 0.545473 0.418951 0.0542235
1041 1 0.562331 0.399493 0.136
1065 1 0.442329 0.489183 0.113336
245 1 0.535634 0.35266 0.0235064
1198 1 0.488914 0.426796 0.114769
112 1 0.470929 0.405799 0.0102145
1940 1 0.491079 0.47959 0.0521233
1034 1 0.547486 0.476722 0.102277
1457 1 0.642115 0.401898 0.166326
1046 1 0.69191 0.461463 0.14403
1081 1 0.688828 0.471139 0.0513226
1169 1 0.707227 0.386825 0.0464283
116 1 0.619139 0.379056 0.0356297
1177 1 0.619405 0.436556 0.0904024
246 1 0.66551 0.352816 0.104669
1047 1 0.608659 0.481373 0.166408
1020 1 0.800915 0.371331 0.057853
1054 1 0.729407 0.394172 0.164379
1950 1 0.84585 0.368611 0.00327021
256 1 0.809772 0.459814 0.104937
218 1 0.817781 0.351014 0.133029
1051 1 0.749322 0.445426 0.0108259
1050 1 0.7459 0.345341 0.0949142
96 1 0.744326 0.434324 0.0973025
1984 1 0.823586 0.446863 0.0269776
102 1 0.939877 0.484942 0.00868
254 1 0.885797 0.459206 0.0797689
255 1 0.957801 0.475353 0.0860892
253 1 0.997266 0.352867 0.026548
1153 1 0.873044 0.389761 0.0707305
995 1 0.929757 0.338143 0.0428137
994 1 0.935752 0.421965 0.153019
1055 1 0.899253 0.340915 0.128282
224 1 0.948373 0.406693 0.0785076
161 1 0.0260315 0.0886088 0.230439
130 1 0.0771057 0.0621804 0.325841
67 1 0.0990487 0.143285 0.218266
294 1 0.0323043 0.120374 0.297798
131 1 0.116451 0.112968 0.289243
31 1 0.100165 0.0560973 0.213825
259 1 0.23201 0.0713313 0.177754
398 1 0.262748 0.0136344 0.228784
296 1 0.200141 0.138997 0.198577
1518 1 0.181268 0.0246498 0.259859
144 1 0.224176 0.0919634 0.248798
295 1 0.172744 0.159299 0.328281
1256 1 0.247577 0.0372407 0.305353
301 1 0.405158 0.0567941 0.233819
302 1 0.308963 0.0686492 0.211946
429 1 0.295855 0.0994779 0.301803
501 1 0.362006 0.116696 0.255921
395 1 0.388211 0.00661199 0.318145
397 1 0.294067 0.159305 0.200259
1392 1 0.315945 0.00159352 0.275288
276 1 0.444859 0.0939516 0.169516
436 1 0.505869 0.0259222 0.170251
340 1 0.508714 0.0944549 0.226538
463 1 0.460208 0.0622485 0.287781
369 1 0.448379 0.149062 0.21062
371 1 0.553214 0.162623 0.309348
311 1 0.550862 0.0357515 0.266177
494 1 0.563211 0.0867002 0.318779
1394 1 0.502127 0.0021667 0.320599
1271 1 0.637965 0.0464733 0.295247
151 1 0.705777 0.0893232 0.169826
284 1 0.696293 0.0796882 0.330412
1400 1 0.648463 0.0719379 0.225395
404 1 0.638698 0.122676 0.317988
405 1 0.587623 0.0242573 0.20401
310 1 0.709018 0.103835 0.254482
188 1 0.644159 0.14596 0.206536
211 1 0.584139 0.106506 0.253162
444 1 0.70621 0.166336 0.308777
221 1 0.84174 0.166408 0.173043
280 1 0.738633 0.0274163 0.257305
150 1 0.78034 0.0829827 0.227374
274 1 0.771503 0.0882214 0.304228
187 1 0.847261 0.0732762 0.264686
281 1 0.807809 0.0124631 0.305586
168 1 0.797669 0.152556 0.241966
91 1 0.868491 0.110148 0.206804
69 1 0.949394 0.099239 0.200858
1150 1 0.991363 0.0320307 0.185257
289 1 0.987568 0.0631662 0.32811
158 1 0.949631 0.142594 0.313471
132 1 0.930477 0.0848815 0.268325
320 1 0.857647 0.135304 0.305257
35 1 0.990166 0.150934 0.229951
164 1 0.909852 0.159802 0.243159
258 1 0.975742 0.0133447 0.268924
288 1 0.909306 0.00807981 0.297614
327 1 0.00613724 0.196825 0.299593
195 1 0.0483093 0.203865 0.235889
322 1 0.0432606 0.290876 0.262796
326 1 0.107376 0.268457 0.226627
450 1 0.100969 0.258048 0.318883
265 1 0.0783404 0.180729 0.302564
268 1 0.181807 0.268222 0.27698
139 1 0.220074 0.174001 0.259962
204 1 0.183994 0.217874 0.197902
236 1 0.245376 0.280136 0.226324
166 1 0.148394 0.191865 0.264639
172 1 0.250958 0.264493 0.304578
202 1 0.29544 0.192492 0.270933
239 1 0.298608 0.233593 0.203725
490 1 0.35623 0.275287 0.167566
364 1 0.387473 0.286813 0.24459
1425 1 0.308962 0.322171 0.219755
304 1 0.357382 0.203977 0.233576
457 1 0.319833 0.281462 0.293048
468 1 0.357689 0.224007 0.314049
180 1 0.483039 0.212241 0.179317
84 1 0.557191 0.185486 0.167066
119 1 0.519711 0.172434 0.244318
365 1 0.441186 0.225466 0.238554
341 1 0.53741 0.294037 0.267508
1167 1 0.452638 0.305065 0.285661
1301 1 0.488648 0.292712 0.216417
1171 1 0.54759 0.32567 0.172808
587 1 0.50161 0.260435 0.319485
308 1 0.47892 0.180742 0.31373
374 1 0.625761 0.320817 0.172277
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700 1 0.641626 0.149853 0.762935
827 1 0.643826 0.0634059 0.719944
792 1 0.632155 0.0859251 0.801407
953 1 0.710448 0.125372 0.723157
1916 1 0.579162 0.0276866 0.747507
665 1 0.80784 0.0611376 0.682543
1749 1 0.738657 0.0219643 0.735588
859 1 0.715249 0.0915546 0.804767
860 1 0.804928 0.119463 0.82206
668 1 0.785489 0.0728697 0.757144
1918 1 0.826573 0.0266495 0.798997
571 1 0.876209 0.131897 0.686996
388 1 0.942256 0.0607274 0.680638
671 1 0.946999 0.155788 0.673337
735 1 0.963142 0.154465 0.810882
798 1 0.864822 0.093906 0.787728
1791 1 0.910254 0.0229114 0.811879
672 1 0.93439 0.108751 0.752946
796 1 0.890825 0.034313 0.732327
733 1 0.0868806 0.326644 0.671415
770 1 0.0458341 0.184974 0.790381
835 1 0.0213709 0.312271 0.69176
812 1 0.0712477 0.236385 0.716953
840 1 0.0614992 0.303512 0.764935
810 1 0.140673 0.287653 0.736333
46 1 0.132424 0.232435 0.793096
937 1 0.211038 0.166919 0.717865
807 1 0.198976 0.243946 0.672676
809 1 0.255987 0.2618 0.801473
938 1 0.249743 0.21743 0.743359
969 1 0.147536 0.203091 0.718654
842 1 0.209316 0.280533 0.742646
834 1 0.207926 0.33214 0.80421
710 1 0.242134 0.326775 0.695018
42 1 0.21288 0.187021 0.798975
920 1 0.383214 0.173166 0.803689
1001 1 0.28988 0.32542 0.807461
974 1 0.322188 0.237352 0.774236
692 1 0.318183 0.327658 0.740409
81 1 0.371002 0.298579 0.791792
814 1 0.370825 0.194514 0.72025
820 1 0.416191 0.233418 0.775111
1009 1 0.377047 0.286303 0.703156
817 1 0.444403 0.173252 0.720432
114 1 0.461696 0.287981 0.758352
718 1 0.461895 0.251054 0.691716
851 1 0.51966 0.297557 0.808549
849 1 0.474258 0.234532 0.8196
530 1 0.548717 0.250877 0.679169
1011 1 0.516555 0.314194 0.709814
790 1 0.561278 0.231387 0.767086
536 1 0.598378 0.195554 0.70193
878 1 0.583423 0.304109 0.740927
568 1 0.700953 0.201041 0.728363
696 1 0.673239 0.298551 0.778536
822 1 0.634829 0.227084 0.771032
883 1 0.651979 0.260285 0.696203
1016 1 0.625438 0.273908 0.830511
887 1 0.70201 0.225378 0.802965
695 1 0.727289 0.278755 0.72023
704 1 0.811218 0.167714 0.705449
731 1 0.772213 0.247612 0.774629
725 1 0.766307 0.169989 0.770183
804 1 0.847632 0.168996 0.774006
864 1 0.853582 0.241737 0.728569
833 1 0.83651 0.303327 0.772516
824 1 0.7466 0.325549 0.78416
698 1 0.924672 0.256505 0.681437
608 1 0.87269 0.312754 0.71232
991 1 0.935455 0.202281 0.749301
931 1 0.945996 0.29102 0.774728
516 1 0.997984 0.249212 0.743516
862 1 0.886562 0.245238 0.793871
552 1 0.0670383 0.379757 0.732429
839 1 0.135038 0.3851 0.668013
964 1 0.102592 0.364811 0.802135
744 1 0.0899779 0.461598 0.820564
866 1 0.0456905 0.459737 0.752532
890 1 0.0345852 0.405998 0.810557
1725 1 0.022849 0.472089 0.668444
1698 1 0.159226 0.447029 0.691508
737 1 0.149325 0.373427 0.746063
873 1 0.170298 0.467996 0.818767
743 1 0.247625 0.38809 0.765781
1803 1 0.231219 0.469231 0.710175
1676 1 0.246579 0.457288 0.806165
875 1 0.354298 0.401763 0.69751
870 1 0.334802 0.459092 0.736716
1837 1 0.354648 0.486973 0.810845
77 1 0.422636 0.347814 0.742079
848 1 0.357408 0.379958 0.76667
874 1 0.418018 0.445204 0.759179
880 1 0.382 0.407544 0.830007
1674 1 0.467223 0.494055 0.675114
1934 1 0.460096 0.409041 0.707642
1681 1 0.53553 0.473532 0.716557
115 1 0.459605 0.340944 0.811763
1806 1 0.525554 0.364154 0.771704
1711 1 0.561606 0.367401 0.691195
1685 1 0.535159 0.436045 0.803398
625 1 0.650562 0.404317 0.686585
756 1 0.629123 0.471982 0.705208
732 1 0.632286 0.339309 0.703426
723 1 0.597402 0.347919 0.806874
728 1 0.67069 0.37763 0.79004
755 1 0.676404 0.453603 0.765582
856 1 0.598705 0.422882 0.75834
1719 1 0.633723 0.493677 0.803723
1721 1 0.852046 0.49464 0.730405
828 1 0.806458 0.356164 0.667999
981 1 0.804945 0.395912 0.742401
1818 1 0.725639 0.387537 0.699374
82 1 0.742888 0.469555 0.819591
1941 1 0.771441 0.470327 0.738195
765 1 0.742807 0.40152 0.780017
868 1 0.801804 0.410286 0.823699
892 1 0.89924 0.391474 0.832999
1821 1 0.986688 0.428655 0.715368
708 1 0.997028 0.355045 0.761996
767 1 0.86803 0.388902 0.704669
1949 1 0.906732 0.356788 0.766331
893 1 0.956286 0.419647 0.788007
1691 1 0.917828 0.455661 0.716974
894 1 0.939164 0.369352 0.687123
891 1 0.866411 0.435564 0.768589
993 1 0.959435 0.351493 0.825489
6 1 0.130322 0.136823 0.947126
197 1 0.0424932 0.147697 0.997799
933 1 0.0855771 0.0580825 0.860464
967 1 0.0504783 0.114452 0.911938
648 1 0.0433372 0.00608737 0.900859
898 1 0.106397 0.146501 0.845245
41 1 0.0818414 0.0608777 0.946038
906 1 0.248365 0.131038 0.834462
8 1 0.17853 0.0581295 0.945507
269 1 0.256492 0.0839432 0.981548
902 1 0.155187 0.0875269 0.884423
936 1 0.177844 0.166162 0.873282
912 1 0.216056 0.0269801 0.885961
2028 1 0.283208 0.0234448 0.865171
944 1 0.218215 0.111063 0.914875
2032 1 0.346637 0.0200179 0.900888
911 1 0.366676 0.124085 0.873435
45 1 0.290602 0.0894702 0.900848
138 1 0.291335 0.0303226 0.94734
53 1 0.29007 0.151158 0.949678
1134 1 0.426117 0.0248757 0.903965
13 1 0.332234 0.0927599 0.969621
177 1 0.370079 0.0582112 0.836891
20 1 0.406342 0.0694748 0.964322
142 1 0.37381 0.159366 0.942274
819 1 0.512377 0.0355333 0.901923
783 1 0.433937 0.0915285 0.862971
786 1 0.48432 0.109425 0.925149
1138 1 0.490531 0.0426905 0.968987
821 1 0.525934 0.123992 0.86163
21 1 0.55848 0.0957745 0.946365
52 1 0.457888 0.163626 0.972013
49 1 0.579882 0.0487718 0.872231
923 1 0.675672 0.0416697 0.851127
823 1 0.615363 0.112693 0.877629
24 1 0.601326 0.0249094 0.948013
22 1 0.625391 0.140334 0.956907
25 1 0.701991 0.0311096 0.919265
986 1 0.686422 0.108367 0.919304
55 1 0.698072 0.117391 0.998291
928 1 0.831443 0.00926502 0.907212
58 1 0.813977 0.137418 0.984384
189 1 0.801094 0.00884442 0.975184
793 1 0.772416 0.0213955 0.853137
54 1 0.726883 0.161164 0.838148
19 1 0.838303 0.0756328 0.944011
951 1 0.756596 0.0714637 0.966993
825 1 0.841325 0.0716232 0.86463
957 1 0.753957 0.0840821 0.892415
832 1 0.744765 0.150813 0.943701
830 1 0.82129 0.146656 0.901901
954 1 0.892441 0.123157 0.995806
772 1 0.908375 0.00723856 0.922462
769 1 0.917145 0.0653844 0.876309
831 1 0.899154 0.135662 0.851187
805 1 0.970717 0.123297 0.886103
797 1 0.990127 0.0497213 0.849789
57 1 0.902585 0.132019 0.924972
808 1 0.972506 0.124598 0.960685
2 1 0.91516 0.0575946 0.971776
642 1 0.987896 0.048674 0.922302
803 1 0.0479619 0.197932 0.882242
72 1 0.0384918 0.265865 0.999101
174 1 0.108281 0.210282 0.987767
934 1 0.0811738 0.276967 0.852689
816 1 0.0860493 0.288764 0.938366
940 1 0.13608 0.225834 0.89434
935 1 0.00769922 0.271657 0.918948
961 1 0.0224574 0.206815 0.951613
74 1 0.252135 0.249287 0.975016
966 1 0.1668 0.277024 0.972582
972 1 0.205388 0.285597 0.899916
976 1 0.253031 0.224634 0.890423
1007 1 0.279284 0.292944 0.884888
952 1 0.219409 0.178162 0.951029
207 1 0.321322 0.205828 0.994713
971 1 0.324786 0.188861 0.843468
945 1 0.387333 0.204395 0.877782
975 1 0.3199 0.221925 0.916057
43 1 0.385093 0.234167 0.961776
980 1 0.350442 0.280741 0.872928
1043 1 0.392145 0.309011 0.938389
979 1 0.324654 0.28192 0.95932
83 1 0.549793 0.26484 0.940797
240 1 0.465402 0.263373 0.943347
121 1 0.56597 0.295426 0.869879
942 1 0.47249 0.168951 0.881959
950 1 0.535845 0.183588 0.934916
978 1 0.507179 0.24165 0.87772
946 1 0.432573 0.268298 0.880137
850 1 0.500324 0.316687 0.890623
924 1 0.651502 0.253163 0.987653
56 1 0.6882 0.218911 0.928884
863 1 0.661808 0.169197 0.872474
120 1 0.689262 0.26305 0.869587
213 1 0.626166 0.274949 0.916642
818 1 0.584418 0.217627 0.878975
59 1 0.731225 0.22533 0.988859
918 1 0.775242 0.285163 0.840033
1021 1 0.814067 0.226428 0.996773
1017 1 0.719281 0.29556 0.960291
959 1 0.80842 0.308923 0.957831
1019 1 0.806705 0.215358 0.838713
190 1 0.843896 0.264453 0.893265
985 1 0.76945 0.250926 0.919466
1023 1 0.883855 0.329793 0.914422
837 1 0.983124 0.272718 0.83904
990 1 0.879994 0.204933 0.863652
987 1 0.965115 0.304679 0.975887
65 1 0.962161 0.329114 0.897573
217 1 0.883223 0.278242 0.9911
989 1 0.893488 0.306784 0.839462
836 1 0.924741 0.263988 0.914418
37 1 0.933726 0.192355 0.9532
1022 1 0.859726 0.200825 0.943295
932 1 0.966002 0.206394 0.879757
1978 1 0.0190255 0.46544 0.845515
1926 1 0.123433 0.47353 0.886082
66 1 0.0298919 0.347429 0.946797
962 1 0.114161 0.353838 0.875019
1795 1 0.0690849 0.418043 0.877133
1823 1 0.0409286 0.339418 0.844776
1727 1 0.0600928 0.479096 0.938008
999 1 0.114389 0.371222 0.95869
1033 1 0.143324 0.475421 0.979801
1671 1 0.275453 0.393667 0.835791
107 1 0.189404 0.371958 0.984471
79 1 0.272166 0.338738 0.98078
1002 1 0.187997 0.394547 0.837918
867 1 0.222875 0.498769 0.874343
844 1 0.166171 0.412805 0.903638
1004 1 0.220873 0.439742 0.95892
1012 1 0.238671 0.385903 0.899812
110 1 0.412359 0.362346 0.994523
1037 1 0.367488 0.496442 0.962037
78 1 0.342716 0.350868 0.973728
1801 1 0.304893 0.458528 0.862628
1679 1 0.407518 0.339026 0.86543
109 1 0.320161 0.358673 0.897632
106 1 0.30791 0.426995 0.938694
1005 1 0.369919 0.43706 0.891859
1045 1 0.417983 0.425764 0.947091
1006 1 0.441099 0.482174 0.997084
949 1 0.565113 0.342693 0.941636
1040 1 0.502359 0.459135 0.966333
1938 1 0.44849 0.435838 0.873033
113 1 0.485461 0.342351 0.965024
86 1 0.503673 0.403103 0.920056
888 1 0.539279 0.373567 0.846382
1939 1 0.556305 0.450574 0.889675
1812 1 0.604735 0.487171 0.94645
1014 1 0.675799 0.448076 0.978874
992 1 0.702063 0.372503 0.90948
1015 1 0.664085 0.341445 0.853738
88 1 0.653854 0.340364 0.974441
984 1 0.664259 0.442659 0.907173
117 1 0.61329 0.420216 0.840356
1013 1 0.753799 0.436777 0.90551
1947 1 0.763504 0.370872 0.980176
90 1 0.745709 0.353559 0.850015
896 1 0.82265 0.340633 0.869955
1946 1 0.826265 0.465284 0.935938
1025 1 0.835413 0.389542 0.926905
1018 1 0.986382 0.49809 0.909562
1851 1 0.864377 0.453439 0.854274
1925 1 0.957309 0.399009 0.964758
996 1 0.883183 0.429754 0.974976
1955 1 0.940812 0.488061 0.842998
1085 1 0.981207 0.40691 0.881155
1921 1 0.926286 0.446062 0.916024
1156 1 0.0913073 0.649667 0.058215
1027 1 0.0612541 0.54057 0.0979627
1036 1 0.058919 0.607149 0.00172478
997 1 0.0398013 0.524858 3.09552e-05
108 1 0.121286 0.665767 0.133462
1981 1 0.00953706 0.598651 0.0964224
1313 1 0.0432431 0.665437 0.142766
1026 1 0.0159392 0.65993 0.0500613
1195 1 0.0982028 0.582624 0.150192
1162 1 0.130252 0.522678 0.0540387
1030 1 0.150065 0.59954 0.042066
1193 1 0.2108 0.661183 0.158511
230 1 0.237929 0.594144 0.157349
234 1 0.17449 0.551241 0.129875
1069 1 0.219206 0.618725 0.0897913
1008 1 0.241361 0.524649 0.0574747
1163 1 0.272097 0.524821 0.129851
1933 1 0.279812 0.600341 0.019652
1190 1 0.317834 0.543498 0.0622113
1197 1 0.396585 0.588041 0.0990436
1324 1 0.38234 0.612735 0.163046
1963 1 0.42671 0.637561 0.0073896
1104 1 0.356276 0.620112 0.0523241
1931 1 0.396377 0.532804 0.0426022
1928 1 0.293162 0.621476 0.104767
1168 1 0.496892 0.549836 0.0756023
1323 1 0.475081 0.634246 0.0649055
1361 1 0.542438 0.652651 0.0780934
1300 1 0.537226 0.532641 0.144939
1233 1 0.470505 0.57136 0.151331
1172 1 0.513947 0.574011 0.00779117
1042 1 0.566632 0.512359 0.0242075
1294 1 0.518658 0.659982 0.00251792
1166 1 0.680928 0.542005 0.100892
1173 1 0.61523 0.510491 0.0907145
1077 1 0.619592 0.585893 0.142297
1113 1 0.635062 0.602722 0.0730982
1116 1 0.697562 0.6055 0.134917
1174 1 0.577784 0.611027 0.0258247
1973 1 0.640113 0.555077 0.0146917
1078 1 0.805719 0.602707 0.0604388
100 1 0.816349 0.520404 0.0627533
1052 1 0.749969 0.504063 0.123517
1945 1 0.73442 0.618023 0.044791
381 1 0.76435 0.57685 0.12224
1974 1 0.747024 0.537258 0.0583015
1184 1 0.840208 0.563074 0.11856
1214 1 0.797709 0.6581 0.14749
1175 1 0.874688 0.62026 0.153153
1157 1 0.969443 0.570315 0.0336071
1028 1 0.871613 0.600114 0.0216008
1056 1 0.953526 0.553672 0.107685
1181 1 0.895125 0.517193 0.151609
1217 1 0.961075 0.627059 0.157566
1215 1 0.936791 0.621974 0.0839687
1953 1 0.128449 0.760502 0.0360686
1210 1 0.0572354 0.720714 0.0734966
1127 1 0.119236 0.765789 0.107685
1091 1 0.0643807 0.799407 0.0720474
159 1 0.0543947 0.754172 0.14818
1831 1 0.0658804 0.702755 0.00631282
1099 1 0.252784 0.708646 0.0972207
1094 1 0.270751 0.820565 0.0156901
1061 1 0.172491 0.682041 0.044762
1225 1 0.175593 0.713299 0.117611
1189 1 0.239734 0.788502 0.0841915
1223 1 0.194738 0.784902 0.144052
1218 1 0.194047 0.818407 0.0187379
1062 1 0.229544 0.748041 0.0108757
1353 1 0.296834 0.698949 0.156074
1318 1 0.330608 0.768281 0.118699
1354 1 0.30038 0.752114 0.0402619
1996 1 0.340177 0.69393 0.0951962
1066 1 0.408638 0.681691 0.0764665
1356 1 0.402914 0.760461 0.0869756
1358 1 0.388878 0.819418 0.149363
1355 1 0.418036 0.736324 0.013352
2027 1 0.356817 0.685853 0.0194288
1350 1 0.315896 0.832623 0.162169
1068 1 0.288868 0.673196 0.0417077
1268 1 0.525351 0.752085 0.0852235
1325 1 0.448654 0.666958 0.143101
2004 1 0.477076 0.706541 0.0433896
1080 1 0.569585 0.811361 0.121094
1257 1 0.474846 0.808699 0.114058
1237 1 0.508963 0.73061 0.162365
1230 1 0.477622 0.787106 0.0347523
2031 1 0.561094 0.810072 0.0340827
1083 1 0.635122 0.687435 0.0488655
1111 1 0.575964 0.699582 0.126326
1148 1 0.64076 0.812524 0.133136
1107 1 0.704635 0.689078 0.08721
1376 1 0.666338 0.713838 0.153241
1141 1 0.607368 0.765466 0.0751276
1944 1 0.675552 0.751986 0.0347415
1147 1 0.806022 0.816851 0.0622331
1979 1 0.780192 0.685774 0.0694507
1086 1 0.856716 0.668238 0.0919786
1216 1 0.794392 0.761127 0.1334
2043 1 0.821169 0.74544 0.0480945
1241 1 0.737541 0.759193 0.0861291
1109 1 0.840015 0.667215 0.00787259
1048 1 0.744511 0.71796 0.0145384
1106 1 0.773651 0.786946 0.00133738
98 1 0.910676 0.688141 0.153319
27 1 0.88066 0.815583 0.126702
1186 1 0.998795 0.772128 0.108085
2011 1 0.886101 0.741925 0.0922312
1213 1 0.966223 0.696328 0.108859
1060 1 0.937982 0.669926 0.0164945
2007 1 0.929549 0.79055 0.0612797
2015 1 0.904463 0.741273 0.00686058
1090 1 0.981863 0.741367 0.0312206
2020 1 0.0641012 0.890541 0.0815518
1096 1 0.0029389 0.851034 0.0516656
1122 1 0.13174 0.841642 0.066471
1988 1 0.0401887 0.835472 0.123774
135 1 0.0760533 0.960563 0.106296
1 1 0.00764428 0.910385 0.12297
63 1 0.000764382 0.988333 0.114855
1255 1 0.135299 0.835272 0.148336
2021 1 0.13522 0.88957 0.00609208
9 1 0.137888 0.95102 0.0506444
901 1 0.211284 0.898678 0.0138928
1100 1 0.211052 0.852042 0.0962816
2024 1 0.218768 0.924408 0.0860151
1254 1 0.151882 0.954212 0.127339
1227 1 0.274991 0.930995 0.136037
176 1 0.204362 0.996774 0.0760185
1132 1 0.299726 0.887879 0.00939887
1112 1 0.366999 0.836624 0.0386598
1226 1 0.294372 0.843784 0.0901577
1258 1 0.343755 0.898571 0.0801153
10 1 0.296929 0.975104 0.0716809
2025 1 0.351447 0.944209 0.0233507
141 1 0.38723 0.955577 0.109142
148 1 0.485561 0.9925 0.0292057
1904 1 0.432562 0.928553 0.0358184
1269 1 0.560745 0.973842 0.0489946
1232 1 0.453051 0.862674 0.0112377
1259 1 0.515392 0.920842 0.024781
147 1 0.533954 0.923502 0.132764
23 1 0.470629 0.879385 0.158113
1262 1 0.459941 0.929165 0.101882
1270 1 0.508702 0.860838 0.0785262
1261 1 0.431607 0.857579 0.083456
1277 1 0.707387 0.873877 0.073741
1136 1 0.57471 0.905433 0.0708738
1088 1 0.681322 0.916427 0.0198708
156 1 0.654642 0.96562 0.0900167
1401 1 0.647192 0.886092 0.120034
2008 1 0.652803 0.838742 0.0189822
1146 1 0.823664 0.992056 0.0565382
160 1 0.729907 0.969274 0.144864
157 1 0.725939 0.9702 0.0600237
64 1 0.785575 0.910447 0.0817004
29 1 0.819484 0.967743 0.136467
286 1 0.811406 0.856845 0.141528
1120 1 0.814844 0.867288 0.0032902
2048 1 0.773685 0.937896 0.00379655
1149 1 0.870992 0.905457 0.120082
1124 1 0.908873 0.847523 0.0139611
32 1 0.865211 0.920609 0.0357853
1275 1 0.953467 0.842612 0.116954
1280 1 0.925349 0.966097 0.0963211
129 1 0.928018 0.898573 0.0690067
12 1 0.994208 0.930487 0.0174884
1191 1 0.0216579 0.607994 0.208401
1059 1 0.100786 0.57928 0.236648
1187 1 0.082973 0.609981 0.301549
1160 1 0.0518897 0.532369 0.20626
382 1 0.0706454 0.53044 0.282249
1032 1 0.103963 0.654523 0.204047
1438 1 0.127443 0.561081 0.328821
1286 1 0.224394 0.500365 0.299073
360 1 0.16927 0.525916 0.204093
1031 1 0.166544 0.603659 0.198574
1287 1 0.228448 0.548736 0.228716
1155 1 0.15353 0.514141 0.281636
1421 1 0.283202 0.564778 0.314149
486 1 0.232199 0.632091 0.235478
1063 1 0.165404 0.609829 0.279321
482 1 0.204458 0.567655 0.324306
495 1 0.379045 0.503327 0.248665
1194 1 0.292167 0.502142 0.263728
1442 1 0.296305 0.623039 0.200073
1487 1 0.309142 0.640533 0.282415
1164 1 0.340406 0.54801 0.168063
1937 1 0.417916 0.569749 0.284901
1445 1 0.368748 0.639182 0.232838
1292 1 0.318804 0.573022 0.243359
1199 1 0.406667 0.508424 0.180451
460 1 0.357324 0.500882 0.320575
1291 1 0.467637 0.524649 0.227694
1426 1 0.48636 0.509007 0.31609
1359 1 0.437246 0.638744 0.285533
1326 1 0.479908 0.588947 0.331606
1204 1 0.55068 0.555022 0.217418
1450 1 0.503616 0.603503 0.260988
1070 1 0.446676 0.612395 0.208619
1105 1 0.538188 0.619551 0.186956
1332 1 0.540278 0.661987 0.295732
1951 1 0.713841 0.537937 0.186738
1290 1 0.575037 0.50006 0.300962
1206 1 0.614414 0.597182 0.258953
1303 1 0.634541 0.541687 0.213851
1075 1 0.653364 0.655299 0.215825
1302 1 0.572274 0.583361 0.316646
1429 1 0.657363 0.544565 0.28504
250 1 0.742886 0.608164 0.202789
1247 1 0.821813 0.604159 0.24316
1433 1 0.78865 0.586133 0.314568
1341 1 0.78221 0.538376 0.206129
378 1 0.742751 0.535887 0.274356
1180 1 0.854938 0.652589 0.295593
1178 1 0.781478 0.661563 0.309263
124 1 0.851228 0.520662 0.238866
354 1 0.925437 0.550015 0.215035
356 1 0.986344 0.605927 0.330076
1441 1 0.901508 0.593311 0.289548
1310 1 0.960997 0.647709 0.241475
506 1 0.876459 0.65315 0.219362
1469 1 0.949981 0.547843 0.314407
352 1 0.995386 0.553278 0.257603
1375 1 0.933355 0.660793 0.307974
122 1 0.86501 0.531583 0.328164
1245 1 0.0678313 0.819629 0.193593
1221 1 0.130189 0.729786 0.185227
1251 1 0.0559812 0.743443 0.230246
1316 1 0.0604861 0.750975 0.313015
1154 1 0.129834 0.791703 0.23291
1477 1 0.0236743 0.8225 0.258149
1219 1 0.113968 0.698545 0.2654
1185 1 0.0364598 0.668518 0.268045
1072 1 0.214535 0.764479 0.224831
1224 1 0.266018 0.771556 0.168114
1481 1 0.160512 0.742169 0.324048
1328 1 0.241297 0.75759 0.29312
1196 1 0.176968 0.695274 0.229138
1482 1 0.225893 0.684128 0.305551
1514 1 0.184617 0.813514 0.331993
1231 1 0.370045 0.685445 0.170217
1288 1 0.291348 0.705571 0.248193
1317 1 0.367494 0.752488 0.202187
1321 1 0.358079 0.76474 0.32429
1315 1 0.295508 0.794594 0.233939
1322 1 0.365269 0.833293 0.278263
1484 1 0.292002 0.807799 0.31871
1229 1 0.427658 0.777454 0.244598
1452 1 0.293032 0.720367 0.331774
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1614 1 0.424539 0.816814 0.327164
1201 1 0.434062 0.75331 0.16689
1320 1 0.433761 0.695431 0.230563
1044 1 0.509793 0.672857 0.231848
1103 1 0.499006 0.809956 0.188595
1202 1 0.469198 0.708757 0.291083
1366 1 0.541115 0.76123 0.230075
1486 1 0.487636 0.807111 0.289451
1272 1 0.557151 0.818686 0.306151
1071 1 0.581276 0.682219 0.217622
1143 1 0.590299 0.751376 0.171417
1209 1 0.63118 0.68143 0.292985
1238 1 0.591891 0.818721 0.232109
1334 1 0.667698 0.800843 0.217904
1369 1 0.577202 0.742228 0.293605
1408 1 0.65272 0.766481 0.283334
1212 1 0.703957 0.676807 0.260581
1403 1 0.706042 0.809365 0.320121
1087 1 0.845875 0.734666 0.178522
1248 1 0.728519 0.679423 0.188866
155 1 0.726453 0.76184 0.167245
1115 1 0.724049 0.758109 0.251542
1367 1 0.733843 0.728719 0.317919
1402 1 0.804744 0.686961 0.234439
1342 1 0.813325 0.765762 0.329799
283 1 0.765873 0.817893 0.251593
1243 1 0.786464 0.762735 0.215806
1249 1 0.99248 0.737194 0.27588
1151 1 0.91268 0.760642 0.166974
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1349 1 0.940609 0.783912 0.242216
1407 1 0.884023 0.802057 0.332383
1182 1 0.979213 0.712085 0.181892
1344 1 0.909319 0.70791 0.253771
1188 1 0.868938 0.76906 0.258459
1220 1 0.921115 0.738974 0.320068
1405 1 0.858755 0.826425 0.200947
1474 1 0.113967 0.871685 0.238374
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1346 1 0.069344 0.928684 0.243141
1379 1 0.0950448 0.977321 0.176744
1506 1 0.0231909 0.976312 0.317552
1192 1 0.10162 0.897212 0.166984
1478 1 0.0929035 0.92868 0.318761
1253 1 0.139974 0.938059 0.226652
136 1 0.114735 0.998661 0.264865
1128 1 0.0335532 0.993815 0.233209
1278 1 0.183081 0.891998 0.168618
1228 1 0.218576 0.961648 0.18713
1381 1 0.266766 0.940163 0.29334
1352 1 0.240006 0.84224 0.185459
1383 1 0.190142 0.834663 0.255515
1347 1 0.194951 0.903634 0.288724
1389 1 0.247867 0.892941 0.232591
1511 1 0.185793 0.969116 0.321414
1357 1 0.352459 0.931984 0.289944
1390 1 0.31849 0.867589 0.234559
266 1 0.399221 0.907677 0.172632
1385 1 0.310351 0.995697 0.170531
1384 1 0.382763 0.970798 0.224634
267 1 0.322891 0.938842 0.211242
1642 1 0.298543 0.878253 0.326329
1362 1 0.406233 0.889142 0.31688
1391 1 0.449298 0.961457 0.174161
1393 1 0.524238 0.9366 0.221129
1244 1 0.551505 0.869509 0.175599
1397 1 0.528947 0.856067 0.245471
1236 1 0.438591 0.855125 0.220648
1364 1 0.437445 0.954205 0.282134
1267 1 0.474943 0.87738 0.296739
1266 1 0.478044 0.99934 0.241177
1398 1 0.622701 0.886817 0.20203
1368 1 0.590003 0.896254 0.291857
1239 1 0.642246 0.843953 0.280611
1365 1 0.693681 0.910323 0.185074
1370 1 0.599314 0.951889 0.237856
154 1 0.67053 0.991454 0.243424
278 1 0.684727 0.898792 0.321477
1502 1 0.70244 0.870015 0.250425
1274 1 0.634557 0.962175 0.174638
1532 1 0.628166 0.954221 0.315405
282 1 0.841064 0.950263 0.28183
279 1 0.728595 0.999888 0.32054
1252 1 0.749023 0.839903 0.17568
1276 1 0.814635 0.884311 0.246121
443 1 0.774914 0.914867 0.180825
1152 1 0.735726 0.946464 0.255788
319 1 0.856129 0.921446 0.187235
1404 1 0.766128 0.895468 0.303594
313 1 0.80097 0.984256 0.226967
4 1 0.949236 0.938268 0.170375
1345 1 0.962438 0.838747 0.324584
1279 1 0.900677 0.839572 0.257265
1377 1 0.902017 0.918941 0.251131
1380 1 0.865271 0.878174 0.308597
1250 1 0.949728 0.844986 0.185974
1629 1 0.949807 0.908477 0.329205
26 1 0.88063 0.991144 0.211964
1406 1 0.981539 0.941584 0.264488
1311 1 0.089476 0.511071 0.398507
1183 1 0.0990379 0.616462 0.384188
1537 1 0.0417263 0.571126 0.369549
1343 1 0.0991525 0.575588 0.445699
507 1 0.0351549 0.508024 0.462528
1598 1 0.0424462 0.631417 0.443927
1539 1 0.159548 0.605841 0.486764
1282 1 0.233649 0.55546 0.462506
487 1 0.237049 0.51996 0.385716
512 1 0.169777 0.566092 0.400583
232 1 0.192966 0.638696 0.346494
1416 1 0.169816 0.634956 0.422507
1449 1 0.246906 0.616764 0.408629
1420 1 0.283057 0.647845 0.352867
1414 1 0.227976 0.655394 0.493007
614 1 0.380116 0.538583 0.419149
1552 1 0.374376 0.651624 0.494483
464 1 0.417168 0.593601 0.368237
1289 1 0.304631 0.575861 0.409373
1415 1 0.300012 0.643934 0.443888
333 1 0.351708 0.56345 0.352835
1453 1 0.359312 0.652259 0.346085
1417 1 0.370559 0.621448 0.422465
1545 1 0.422075 0.51929 0.357886
1543 1 0.313422 0.579247 0.48757
492 1 0.409959 0.574413 0.49568
456 1 0.301499 0.507651 0.43743
497 1 0.445975 0.500407 0.46727
496 1 0.460756 0.628423 0.427781
498 1 0.481343 0.658365 0.348375
1585 1 0.494342 0.535293 0.392495
1335 1 0.540885 0.621154 0.375255
1557 1 0.549163 0.539776 0.4466
1427 1 0.693948 0.516128 0.39131
1550 1 0.609364 0.512357 0.493988
1331 1 0.598721 0.51755 0.377173
1465 1 0.681072 0.594076 0.434539
1327 1 0.650676 0.582948 0.369528
1298 1 0.593483 0.648105 0.436637
1530 1 0.666563 0.660597 0.403412
1491 1 0.607176 0.648948 0.357068
1494 1 0.617255 0.573522 0.45398
632 1 0.682139 0.52532 0.467733
1207 1 0.718784 0.666451 0.354152
376 1 0.717056 0.581702 0.349985
1430 1 0.823401 0.5673 0.381462
1596 1 0.821623 0.547448 0.465229
1337 1 0.825198 0.638482 0.371708
1431 1 0.828993 0.621544 0.445306
759 1 0.754813 0.552918 0.430058
1373 1 0.756268 0.61685 0.402396
1560 1 0.770021 0.520641 0.353183
1339 1 0.904715 0.625551 0.365585
763 1 0.879629 0.51597 0.491238
1558 1 0.888129 0.560936 0.434692
1411 1 0.980596 0.548363 0.429213
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1412 1 0.930774 0.520154 0.377244
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1702 1 0.12156 0.745439 0.498407
1533 1 0.102817 0.691823 0.34198
1444 1 0.00194958 0.69249 0.344385
1314 1 0.110567 0.714586 0.410531
1470 1 0.116694 0.797494 0.448278
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1631 1 0.0368544 0.698471 0.419347
1578 1 0.196424 0.776231 0.467089
1538 1 0.176339 0.701185 0.459007
1448 1 0.178783 0.745364 0.393398
1480 1 0.198867 0.82725 0.406314
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1284 1 0.238419 0.774795 0.369242
1609 1 0.257287 0.749107 0.446311
1516 1 0.343461 0.696417 0.405301
1485 1 0.362609 0.803506 0.470799
1319 1 0.422641 0.727453 0.340772
1451 1 0.418298 0.677799 0.391971
1456 1 0.315806 0.784104 0.405231
1490 1 0.393954 0.764899 0.400849
1454 1 0.390735 0.716532 0.464975
1422 1 0.310457 0.712299 0.494697
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1265 1 0.461426 0.721836 0.432032
1584 1 0.512082 0.757283 0.495578
1464 1 0.494175 0.822278 0.368949
1235 1 0.544741 0.77012 0.416308
1208 1 0.562051 0.704196 0.360112
1363 1 0.462772 0.793871 0.451132
1374 1 0.657317 0.71702 0.348964
1240 1 0.619995 0.776296 0.354442
1498 1 0.684891 0.768878 0.401183
1338 1 0.661408 0.668478 0.480479
1462 1 0.581376 0.726889 0.497795
1372 1 0.625281 0.718009 0.421984
1308 1 0.633417 0.822078 0.415521
1497 1 0.657943 0.750477 0.474051
401 1 0.62141 0.809843 0.497963
1500 1 0.757076 0.797248 0.381333
1179 1 0.784266 0.704513 0.373667
1658 1 0.728999 0.696895 0.427283
1461 1 0.798281 0.717479 0.464403
1371 1 0.821318 0.770914 0.416798
1340 1 0.964595 0.705584 0.41274
1306 1 0.862035 0.710275 0.354768
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1472 1 0.887023 0.757321 0.472903
1410 1 0.956063 0.770339 0.44205
1436 1 0.985887 0.676739 0.493384
626 1 0.894913 0.676602 0.498883
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1509 1 0.0318657 0.952537 0.398305
1512 1 0.0671237 0.861804 0.412173
1488 1 0.104113 0.939294 0.412682
1605 1 0.0237698 0.835202 0.469744
1351 1 0.132578 0.872403 0.363932
1489 1 0.228671 0.880772 0.356586
1515 1 0.272096 0.853608 0.480148
1638 1 0.209617 0.976644 0.458994
526 1 0.27408 0.942696 0.392765
518 1 0.197956 0.93434 0.397935
1507 1 0.194247 0.861065 0.479569
1738 1 0.349143 0.879809 0.451352
263 1 0.305042 0.997508 0.360727
299 1 0.29873 0.980881 0.451658
1513 1 0.287155 0.853911 0.398971
1619 1 0.427102 0.853674 0.405513
1360 1 0.354564 0.920572 0.377525
1387 1 0.359549 0.837119 0.363576
1519 1 0.421955 0.862125 0.497873
525 1 0.364699 0.947906 0.480176
1524 1 0.376525 0.996888 0.388959
528 1 0.433617 0.988549 0.442271
1520 1 0.431494 0.953907 0.360986
1399 1 0.502514 0.911108 0.356458
1521 1 0.440638 0.913427 0.447144
1525 1 0.51166 0.863289 0.443367
1653 1 0.505687 0.952401 0.432033
399 1 0.500986 0.92735 0.499665
435 1 0.589463 0.896781 0.457614
537 1 0.659242 0.927197 0.493534
1395 1 0.579097 0.852703 0.377414
285 1 0.685529 0.977581 0.42206
1527 1 0.695527 0.836083 0.454005
400 1 0.579601 0.934509 0.372419
407 1 0.604468 0.989099 0.421116
1493 1 0.640695 0.907151 0.406314
438 1 0.750478 0.992351 0.458905
1536 1 0.807256 0.975574 0.364906
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1627 1 0.790791 0.851693 0.428059
1626 1 0.806909 0.841611 0.351597
1499 1 0.829469 0.906069 0.37948
1526 1 0.730064 0.921964 0.452363
565 1 0.747208 0.934782 0.373017
1529 1 0.718965 0.864537 0.376103
418 1 0.958695 0.989831 0.369884
445 1 0.881184 0.945224 0.351712
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1603 1 0.999469 0.901629 0.459387
287 1 0.959235 0.96156 0.436086
1501 1 0.870261 0.847163 0.441228
1476 1 0.917215 0.89953 0.495627
1447 1 0.101351 0.607149 0.645062
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1541 1 0.228148 0.657486 0.573173
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1546 1 0.228821 0.593447 0.534265
610 1 0.226974 0.52717 0.564068
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1548 1 0.309576 0.64551 0.531077
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1706 1 0.335128 0.654393 0.60541
712 1 0.314373 0.527052 0.61236
1699 1 0.325839 0.59908 0.648943
1966 1 0.395773 0.665182 0.659549
741 1 0.302914 0.519078 0.525238
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1460 1 0.523128 0.543208 0.570356
749 1 0.428753 0.52792 0.54441
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1556 1 0.589001 0.538951 0.629112
1459 1 0.610374 0.629145 0.521077
720 1 0.579945 0.609626 0.651933
1688 1 0.662362 0.56986 0.530805
1458 1 0.642271 0.622542 0.597167
1583 1 0.591933 0.562242 0.544893
1593 1 0.648344 0.56387 0.659876
1555 1 0.801973 0.605307 0.637181
1682 1 0.718503 0.566726 0.629082
1592 1 0.741153 0.617287 0.584207
1564 1 0.797423 0.6604 0.584772
1813 1 0.825932 0.549673 0.566319
1568 1 0.797935 0.61043 0.51302
629 1 0.759 0.533339 0.518492
1440 1 0.722556 0.612436 0.500307
1723 1 0.926387 0.572571 0.624522
612 1 0.90322 0.536423 0.557587
1567 1 0.937133 0.608353 0.557554
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1750 1 0.949423 0.657201 0.655512
886 1 0.885588 0.507302 0.624925
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1828 1 0.0722178 0.802392 0.55075
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1704 1 0.148913 0.668258 0.529393
1730 1 0.163697 0.802197 0.534064
1577 1 0.265548 0.727461 0.655268
1701 1 0.220611 0.729255 0.530666
1606 1 0.155146 0.727128 0.568224
1733 1 0.200764 0.831155 0.647777
1641 1 0.283415 0.708348 0.576653
1607 1 0.216217 0.771146 0.59751
1611 1 0.274555 0.790631 0.535815
1739 1 0.196375 0.692925 0.635968
1635 1 0.165103 0.762992 0.654696
1616 1 0.364382 0.731479 0.54646
1610 1 0.35677 0.808509 0.543139
1455 1 0.423547 0.726428 0.607581
1581 1 0.352703 0.723881 0.643503
1836 1 0.313922 0.780631 0.602777
1649 1 0.419918 0.833195 0.580578
1587 1 0.417026 0.779641 0.514789
1554 1 0.475487 0.670742 0.573153
1586 1 0.539903 0.698517 0.610012
1523 1 0.448188 0.793751 0.647108
1613 1 0.531868 0.771079 0.647261
1418 1 0.45495 0.694305 0.504558
1651 1 0.558195 0.813171 0.567403
1747 1 0.489532 0.700042 0.661182
1468 1 0.505647 0.765418 0.567588
1336 1 0.600303 0.691779 0.563881
1623 1 0.669255 0.733197 0.555571
1590 1 0.708278 0.771008 0.647047
1745 1 0.645841 0.712032 0.628926
1495 1 0.647388 0.80706 0.592378
1496 1 0.714712 0.68033 0.632249
1909 1 0.725146 0.8042 0.569387
1562 1 0.842203 0.708944 0.549417
1597 1 0.853483 0.671295 0.643803
1621 1 0.763388 0.741162 0.570386
1333 1 0.754309 0.68567 0.521734
1657 1 0.813947 0.797822 0.531602
1434 1 0.72781 0.754647 0.504826
1576 1 0.994189 0.831155 0.541319
1466 1 0.929038 0.739532 0.542593
1760 1 0.993843 0.67222 0.572157
1787 1 0.96698 0.737042 0.621922
1628 1 0.886014 0.74084 0.62931
1572 1 0.93419 0.797194 0.592619
1914 1 0.97847 0.802531 0.660218
1754 1 0.922128 0.814193 0.509575
1608 1 0.117791 0.838154 0.633984
1602 1 0.0434186 0.892103 0.535543
515 1 0.131153 0.970255 0.597818
1765 1 0.0381232 0.858801 0.610038
1770 1 0.112283 0.872369 0.561895
519 1 0.0969506 0.912036 0.651812
1762 1 0.0284861 0.933429 0.640293
1636 1 0.0686703 0.973929 0.548836
520 1 0.141738 0.934037 0.531194
1637 1 0.284247 0.863401 0.565088
1446 1 0.212569 0.845901 0.566471
1639 1 0.27894 0.842125 0.633262
1643 1 0.168687 0.891279 0.607075
396 1 0.243615 0.90808 0.617489
1644 1 0.277763 0.979885 0.626921
514 1 0.278357 0.981693 0.542254
425 1 0.215426 0.925964 0.550606
1768 1 0.203868 0.980039 0.594812
521 1 0.290013 0.921701 0.502671
656 1 0.337917 0.943838 0.570485
1743 1 0.31535 0.910844 0.651146
1648 1 0.36983 0.883888 0.600566
781 1 0.402974 0.988029 0.598023
1869 1 0.394559 0.937889 0.646117
1647 1 0.407215 0.928653 0.549354
434 1 0.428272 0.986447 0.520186
651 1 0.348602 0.883055 0.527558
1617 1 0.536381 0.872426 0.661119
1777 1 0.507902 0.98163 0.556459
1780 1 0.45489 0.937628 0.597628
1905 1 0.440468 0.866993 0.651049
788 1 0.489549 0.936329 0.663842
787 1 0.532787 0.89195 0.581882
1779 1 0.563593 0.988799 0.614881
1588 1 0.488197 0.840595 0.519218
542 1 0.710259 0.968034 0.588475
1748 1 0.629296 0.854786 0.663026
1656 1 0.685741 0.857395 0.52337
664 1 0.647755 0.959603 0.623971
1874 1 0.653322 0.889309 0.594095
1910 1 0.591638 0.931371 0.666006
1782 1 0.585265 0.957445 0.518604
1622 1 0.589021 0.875895 0.530893
1625 1 0.745996 0.842389 0.636166
1784 1 0.725006 0.894925 0.568527
1654 1 0.801985 0.892446 0.566831
1655 1 0.833132 0.870431 0.635036
1785 1 0.771188 0.918148 0.647322
538 1 0.753833 0.948027 0.523317
543 1 0.836577 0.950488 0.665965
1531 1 0.759972 0.855364 0.513172
409 1 0.855096 0.95576 0.517686
661 1 0.765757 0.996657 0.654708
475 1 0.79804 0.958889 0.597975
1790 1 0.839734 0.878586 0.501534
541 1 0.888347 0.871997 0.57763
1659 1 0.982029 0.879571 0.656945
1535 1 0.99071 0.951985 0.508854
544 1 0.925349 0.977355 0.548377
1633 1 0.995436 0.984958 0.586861
539 1 0.873567 0.954434 0.591914
1664 1 0.96223 0.905353 0.575548
1858 1 0.911965 0.920558 0.647116
1666 1 0.102008 0.579302 0.732524
1819 1 0.112187 0.504528 0.74403
1857 1 0.0722391 0.645679 0.701822
1728 1 0.0939022 0.613961 0.800609
1670 1 0.136802 0.643607 0.743397
1668 1 0.0455925 0.539096 0.787298
1895 1 0.0194419 0.594843 0.73698
1759 1 0.0135168 0.651013 0.789494
872 1 0.22438 0.533862 0.796944
1729 1 0.203198 0.538832 0.719647
1827 1 0.270567 0.57988 0.712943
1705 1 0.214554 0.645428 0.737352
1707 1 0.176101 0.614008 0.685864
1580 1 0.26821 0.600534 0.782799
1794 1 0.158422 0.575967 0.781967
624 1 0.301173 0.501722 0.678038
1809 1 0.42666 0.516269 0.819431
1709 1 0.311672 0.663469 0.691927
1808 1 0.300266 0.52304 0.769044
1547 1 0.353008 0.56799 0.71171
1840 1 0.350686 0.580517 0.800722
1712 1 0.396093 0.517451 0.751721
760 1 0.569925 0.565252 0.710175
1677 1 0.528941 0.638447 0.700712
1716 1 0.440503 0.578108 0.785775
1834 1 0.429742 0.6199 0.73108
618 1 0.436438 0.556296 0.700568
1838 1 0.51646 0.588134 0.787365
1752 1 0.458757 0.65383 0.811446
1848 1 0.510454 0.503701 0.824185
1714 1 0.643057 0.645642 0.678955
1967 1 0.584613 0.571317 0.83201
1713 1 0.637718 0.550736 0.744144
1678 1 0.594372 0.624319 0.742747
1742 1 0.669171 0.615338 0.747255
1943 1 0.710734 0.522609 0.782578
1692 1 0.707844 0.539983 0.699129
1845 1 0.623143 0.635924 0.823893
846 1 0.571861 0.519061 0.773315
1695 1 0.810976 0.539256 0.773807
1843 1 0.716848 0.624978 0.688198
1696 1 0.7814 0.527388 0.686548
1814 1 0.75721 0.573283 0.824403
1846 1 0.746171 0.585849 0.750949
1975 1 0.819331 0.596376 0.730171
1885 1 0.852264 0.549298 0.68285
2010 1 0.782425 0.648944 0.784389
1693 1 0.89087 0.620621 0.686268
768 1 0.878514 0.568546 0.773838
1850 1 0.950825 0.583979 0.769821
1856 1 0.923017 0.503221 0.77506
1855 1 0.997537 0.520776 0.729611
1566 1 0.947114 0.574958 0.69999
762 1 0.950581 0.502053 0.675261
1722 1 0.872443 0.651461 0.788879
1854 1 0.00594435 0.692329 0.717771
1886 1 0.0803496 0.690988 0.771013
1756 1 0.116766 0.713872 0.689567
1884 1 0.00661098 0.739342 0.780911
1764 1 0.107559 0.773127 0.766608
1736 1 0.0896653 0.808487 0.696197
1758 1 0.0260566 0.778815 0.714075
1893 1 0.0028276 0.824218 0.775195
799 1 0.0605573 0.796531 0.822
1483 1 0.255717 0.797473 0.691762
1737 1 0.230311 0.69332 0.788449
1604 1 0.219197 0.727986 0.719815
1755 1 0.171639 0.773153 0.81891
1802 1 0.247582 0.789158 0.782497
1826 1 0.154991 0.712315 0.782965
1830 1 0.17399 0.791927 0.74315
1775 1 0.339972 0.777743 0.685112
1865 1 0.292477 0.713037 0.753153
1867 1 0.410411 0.742496 0.697763
1582 1 0.336589 0.668261 0.810653
1735 1 0.365535 0.695296 0.738938
2029 1 0.422549 0.736137 0.823248
2023 1 0.327093 0.793631 0.766917
881 1 0.562185 0.704514 0.686603
1717 1 0.529018 0.77462 0.73063
1839 1 0.537199 0.673603 0.772522
1844 1 0.515495 0.739687 0.800827
1877 1 0.506721 0.816667 0.794352
1101 1 0.432791 0.804387 0.768015
1932 1 0.464077 0.701324 0.742105
1746 1 0.602835 0.777825 0.681897
1753 1 0.68199 0.813861 0.707758
1878 1 0.641762 0.689712 0.756844
1842 1 0.593371 0.744902 0.78932
1715 1 0.693107 0.716088 0.701073
1971 1 0.622537 0.807644 0.746867
1912 1 0.695569 0.781727 0.79132
1751 1 0.776553 0.746097 0.672253
1591 1 0.716546 0.673207 0.755561
1915 1 0.777251 0.715241 0.744753
1911 1 0.75764 0.797604 0.765773
1718 1 0.777437 0.66934 0.685097
1849 1 0.846584 0.748991 0.777211
1954 1 0.838048 0.673626 0.725035
1783 1 0.809093 0.819976 0.709208
1881 1 0.751894 0.732829 0.806527
1920 1 0.824991 0.819121 0.809186
1594 1 0.857947 0.747127 0.698904
1724 1 0.961658 0.752893 0.715853
1690 1 0.91965 0.68346 0.730818
1982 1 0.923777 0.741837 0.785042
2045 1 0.888377 0.813312 0.752892
1952 1 0.947036 0.674246 0.808888
1766 1 0.0671325 0.978349 0.692946
1763 1 0.0253606 0.979401 0.823352
1663 1 0.0371486 0.866713 0.719755
1896 1 0.0455625 0.911329 0.791111
1890 1 0.106674 0.930091 0.729958
1992 1 0.0689249 0.986035 0.763233
1789 1 0.1065 0.860792 0.759405
675 1 0.13718 0.996985 0.6829
1734 1 0.151096 0.855776 0.698682
1740 1 0.231398 0.864444 0.721506
1767 1 0.195906 0.850966 0.782846
649 1 0.179095 0.933937 0.682353
1772 1 0.278632 0.864196 0.787603
1771 1 0.208391 0.930575 0.760774
1866 1 0.265036 0.954678 0.694759
1864 1 0.260427 0.96899 0.797753
2022 1 0.152451 0.999735 0.779702
784 1 0.150971 0.909116 0.807034
1901 1 0.334955 0.971306 0.713243
1615 1 0.37488 0.843073 0.670926
1744 1 0.308835 0.857992 0.708167
1872 1 0.36772 0.862046 0.75848
1868 1 0.318127 0.927123 0.77335
1899 1 0.406189 0.931052 0.790987
1870 1 0.350334 0.991496 0.784737
1906 1 0.549006 0.996966 0.689743
1741 1 0.483907 0.83653 0.708017
1880 1 0.560398 0.852229 0.730216
1903 1 0.433809 0.978883 0.71191
1873 1 0.434401 0.902512 0.715783
917 1 0.497016 0.977835 0.767636
2034 1 0.479838 0.894132 0.77738
2040 1 0.555757 0.933635 0.747562
2035 1 0.55806 0.992236 0.814798
915 1 0.637816 0.955931 0.801573
1720 1 0.636783 0.901892 0.738118
2013 1 0.68935 0.853948 0.779554
2038 1 0.692225 0.902708 0.668205
1875 1 0.584225 0.846315 0.808627
2037 1 0.708247 0.94846 0.749909
1907 1 0.580878 0.920441 0.814459
1144 1 0.636069 0.985421 0.714815
1786 1 0.816012 0.997096 0.720309
663 1 0.742649 0.868212 0.709158
1913 1 0.771042 0.875406 0.798334
955 1 0.770964 0.972903 0.790672
1142 1 0.855547 0.908187 0.781863
1788 1 0.819774 0.897183 0.715676
1660 1 0.893647 0.846152 0.67893
1534 1 0.960017 0.973462 0.689262
644 1 0.988123 0.924472 0.746109
2017 1 0.908609 0.851201 0.809933
1121 1 0.947645 0.854506 0.732904
669 1 0.873432 0.962809 0.741472
1732 1 0.916939 0.94275 0.814286
1991 1 0.976158 0.906741 0.823221
1804 1 0.0655322 0.52567 0.869818
1924 1 0.094649 0.564817 0.939414
1822 1 0.000197657 0.552627 0.857706
1797 1 0.0658046 0.63454 0.938283
1957 1 0.00357664 0.628632 0.864501
1117 1 0.018434 0.573705 0.938654
1800 1 0.102998 0.622331 0.877426
1829 1 0.284473 0.552999 0.862662
1703 1 0.163479 0.666456 0.843293
1700 1 0.209219 0.639734 0.919708
1927 1 0.14903 0.620346 0.965414
1923 1 0.174154 0.542642 0.931802
1710 1 0.209772 0.605896 0.840315
998 1 0.242964 0.572728 0.926629
1667 1 0.146969 0.551577 0.863312
1959 1 0.221983 0.656681 0.988369
1064 1 0.280259 0.629772 0.858795
869 1 0.245333 0.500311 0.98374
1000 1 0.214849 0.569699 0.99933
1936 1 0.424432 0.507535 0.899461
1929 1 0.33787 0.597551 0.889401
877 1 0.296725 0.517626 0.934609
1807 1 0.40539 0.576155 0.869203
1035 1 0.359067 0.580656 0.983122
1680 1 0.353369 0.522113 0.88118
1960 1 0.313871 0.638064 0.962164
1998 1 0.43673 0.573282 0.96485
1997 1 0.563546 0.62345 0.885141
1811 1 0.483413 0.579174 0.850437
1038 1 0.565838 0.554344 0.952708
1969 1 0.503637 0.515018 0.900608
2003 1 0.497625 0.599115 0.931304
1841 1 0.621853 0.58636 0.914172
1589 1 0.674865 0.572439 0.83808
1084 1 0.680464 0.546268 0.948024
1108 1 0.582684 0.651991 0.95947
1049 1 0.708178 0.608341 0.907895
1687 1 0.638278 0.505521 0.876765
1076 1 0.682259 0.624645 0.979224
1847 1 0.715871 0.513032 0.872346
1942 1 0.792468 0.595036 0.899354
1852 1 0.804346 0.504354 0.870082
1082 1 0.835217 0.584906 0.840137
1820 1 0.747526 0.580748 0.962622
982 1 0.751532 0.503189 0.945808
1980 1 0.810687 0.558105 0.984153
1970 1 0.781718 0.645394 0.965787
1977 1 0.916509 0.607584 0.859521
1114 1 0.863991 0.616598 0.921661
1948 1 0.872406 0.512947 0.992981
1029 1 0.932722 0.554928 0.914031
1824 1 0.868852 0.521592 0.922001
1796 1 0.998299 0.640773 0.966798
1057 1 0.93224 0.606506 0.96256
1123 1 0.102045 0.817119 0.974601
2047 1 0.0415156 0.780894 0.975872
1860 1 0.113026 0.724705 0.840711
1832 1 0.0148148 0.768632 0.908137
1859 1 0.0743011 0.71069 0.930184
1095 1 0.130558 0.832236 0.84339
1883 1 0.0399744 0.709836 0.856435
1119 1 0.000358294 0.719991 0.966044
1093 1 0.0928907 0.793677 0.900013
905 1 0.263717 0.780395 0.9374
1731 1 0.142902 0.683872 0.926776
1989 1 0.227978 0.72217 0.944664
1985 1 0.144225 0.763008 0.946175
1958 1 0.210069 0.769143 0.880694
1708 1 0.275936 0.731728 0.841799
1835 1 0.362879 0.784502 0.842899
1968 1 0.385584 0.666735 0.943661
1935 1 0.400075 0.673085 0.863481
1222 1 0.328484 0.805251 0.985273
1964 1 0.396301 0.804795 0.910955
1930 1 0.335425 0.706204 0.878489
1961 1 0.294696 0.713478 0.962405
1965 1 0.359828 0.7396 0.947661
1999 1 0.567615 0.784931 0.854454
1073 1 0.519358 0.673146 0.933673
1098 1 0.477792 0.707136 0.881606
909 1 0.470472 0.778266 0.882545
2001 1 0.551309 0.694492 0.862462
1129 1 0.457341 0.69734 0.962566
1102 1 0.450669 0.781368 0.964827
2000 1 0.530519 0.758111 0.923831
2005 1 0.52457 0.833158 0.967983
1137 1 0.668527 0.714925 0.967514
1683 1 0.636489 0.670353 0.905376
1962 1 0.700452 0.68502 0.834643
1817 1 0.644403 0.820715 0.845635
882 1 0.672484 0.751912 0.881197
2009 1 0.632032 0.790131 0.969711
1263 1 0.708058 0.783219 0.96562
1871 1 0.605614 0.736735 0.919762
1879 1 0.582541 0.821643 0.923922
1074 1 0.572153 0.714966 0.986388
2041 1 0.748375 0.764461 0.895422
2016 1 0.831246 0.763517 0.874056
2006 1 0.795722 0.818821 0.914995
1972 1 0.735459 0.680985 0.906182
2002 1 0.801693 0.668891 0.871039
1976 1 0.809458 0.72904 0.955804
2012 1 0.718416 0.82563 0.84937
1983 1 0.847929 0.787564 0.987211
926 1 0.91737 0.825822 0.92757
1024 1 0.8818 0.68509 0.94819
2014 1 0.961531 0.686766 0.90101
1092 1 0.964052 0.822171 0.868162
1145 1 0.89686 0.691062 0.862032
1919 1 0.899731 0.775372 0.847843
1089 1 0.967126 0.802602 0.990608
1922 1 0.971974 0.741144 0.844106
1888 1 0.916414 0.740683 0.915137
776 1 0.137289 0.984466 0.924937
1118 1 0.0257482 0.847526 0.923731
2018 1 0.0393841 0.950345 0.966706
1987 1 0.043669 0.869706 0.846302
1862 1 0.0985125 0.952956 0.861709
1892 1 0.0294466 0.930053 0.89354
1891 1 0.100588 0.875782 0.925915
2046 1 0.0553521 0.88063 0.990783
1993 1 0.202574 0.842325 0.859996
1133 1 0.254246 0.895255 0.932496
169 1 0.253957 0.955244 0.890728
1900 1 0.194878 0.833572 0.936462
943 1 0.188117 0.962478 0.856886
1897 1 0.239756 0.908277 0.838327
2019 1 0.179259 0.899029 0.905937
775 1 0.223445 0.965836 0.95984
16 1 0.409502 0.981224 0.973449
913 1 0.40013 0.980586 0.844522
903 1 0.286605 0.967541 0.999534
1990 1 0.288513 0.856831 0.862627
1863 1 0.425669 0.842677 0.838043
1908 1 0.399549 0.929531 0.908539
1995 1 0.374792 0.864848 0.956646
1097 1 0.363227 0.86624 0.875219
779 1 0.335274 0.930471 0.84094
1139 1 0.325087 0.920723 0.921333
694 1 0.471622 0.998152 0.850208
1876 1 0.5043 0.85489 0.866968
1994 1 0.452594 0.852032 0.923521
2036 1 0.53978 0.978612 0.972181
916 1 0.515794 0.941975 0.867495
1135 1 0.472753 0.969272 0.931952
1140 1 0.569357 0.888856 0.902324
914 1 0.450923 0.913565 0.854435
2030 1 0.505978 0.906607 0.950253
1110 1 0.666145 0.958826 0.928316
2042 1 0.643086 0.883719 0.95428
1242 1 0.713306 0.984417 0.981021
28 1 0.586069 0.962096 0.898238
149 1 0.608587 0.949895 0.991309
800 1 0.711914 0.966199 0.840792
2033 1 0.644793 0.89871 0.859076
2039 1 0.70471 0.842657 0.916181
17 1 0.573789 0.879238 0.990551
2044 1 0.728694 0.863182 0.987175
925 1 0.775177 0.895317 0.932684
795 1 0.760227 0.96685 0.918218
921 1 0.797272 0.935569 0.851248
927 1 0.854492 0.955599 0.973427
1956 1 0.852091 0.860684 0.8869
703 1 0.878625 0.939049 0.896093
643 1 0.971121 0.976011 0.951055
829 1 0.958741 0.973696 0.87007
801 1 0.966753 0.882103 0.963015
1058 1 0.888084 0.885504 0.955865
794 1 0.933246 0.885153 0.891924
61 1 0.921846 0.944252 0.997815
|
[
"scheuclu@gmail.com"
] |
scheuclu@gmail.com
|
474b247e2e45087bd74d2544f1382174516ac0f2
|
1173a50fd7578dbedce0f997ebd6b7b4611661ce
|
/server/flask/app/model/database.py
|
b8592377acfe93b46be089bbb75ace92fcf8ebb3
|
[
"BSD-3-Clause"
] |
permissive
|
JeanExtreme002/Keylogger
|
d3b2c1fa741030d33b8ad38e3d63071668fbd66f
|
bcb568818ca2c71f9cc1663d3858906ac660e778
|
refs/heads/master
| 2021-01-01T22:24:20.864439
| 2020-02-18T03:02:42
| 2020-02-18T03:02:42
| 240,398,696
| 4
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 974
|
py
|
class Database():
__users = {}
def __contains__(self, user):
return user in self.__users
def addKey(self, user, value):
self.__users[user]["keys"].append(value)
def createUser(self, user):
self.__users[user] = {"keys": [], "output": "", "input": ""}
def destroy(self):
self.__users.clear()
def getInput(self, user):
input = self.__users[user]["input"]
self.__users[user]["input"] = ""
return input
def getKeys(self, user):
return self.__users[user]["keys"]
def getOutput(self, user):
output = self.__users[user]["output"]
self.__users[user]["output"] = ""
return output
def setInput(self, user, value):
self.__users[user]["input"] = value
def setOutput(self, user, value):
self.__users[user]["output"] = value
@property
def users(self):
return list(self.__users.keys())
|
[
"jeangamerextreme@gmail.com"
] |
jeangamerextreme@gmail.com
|
47a7fd2806810bfdca161d08fde9f770cd9ccf33
|
4cd5186f274b93bda18f7c0c75e27240345500b1
|
/src/playlists/migrations/0004_alter_playlist_video.py
|
e2f07cb9ab78137ffd69d6f6eb4402276897bfa8
|
[] |
no_license
|
alexandersilvera/djangoflix
|
2244f94358c53476f48c8c2195057982b177da45
|
ad96fc0489caa4ea0cfe5858a4d8ab3af3f042a3
|
refs/heads/main
| 2023-08-21T02:32:39.914463
| 2021-10-28T13:35:30
| 2021-10-28T13:35:30
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 579
|
py
|
# Generated by Django 3.2.6 on 2021-08-23 01:07
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('videos', '0010_alter_video_video_id'),
('playlists', '0003_auto_20210822_2159'),
]
operations = [
migrations.AlterField(
model_name='playlist',
name='video',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='playlist_featured', to='videos.video'),
),
]
|
[
"alexandersilvera@hotmail.com"
] |
alexandersilvera@hotmail.com
|
f099f167e00efaf0e76409c03d259e06c5e5d327
|
25b81256057c9a2de014ab511e04703dc617f050
|
/lib_cinci/tests/test_get_dummies.py
|
6a2eea6dcb86629e638595f29fa716eba950c405
|
[
"MIT"
] |
permissive
|
conorhenley/cincinnati
|
7b9b2fc6d13e49ad5e95a557cd79b28bd17f0565
|
5ca86a8a31099365188969493e0dd369b4faefc0
|
refs/heads/master
| 2021-01-13T06:50:18.403686
| 2016-05-26T20:21:12
| 2016-05-26T20:21:12
| 64,249,902
| 1
| 0
| null | 2016-07-26T19:51:03
| 2016-07-26T19:51:03
| null |
UTF-8
|
Python
| false
| false
| 2,332
|
py
|
import pandas as pd
from pandas.util.testing import assert_frame_equal
import numpy as np
from nose.tools import raises
from lib_cinci.util import get_dummies
@raises(ValueError)
def test_illegal_value():
possible_values = ["val1", "val2", "val3"]
data = pd.Series(["val1", "val3", "val1", "val4"])
get_dummies(data, possible_values)
def test_empty_input():
possible_values = ["val1", "val2", "val3"]
data = pd.Series([])
expected = pd.DataFrame([], columns=possible_values)
actual = get_dummies(data, possible_values)
assert_frame_equal(expected, actual)
def test_only_one_value():
possible_values = ["val1", "val2", "val3"]
data = pd.Series(["val2"])
expected = pd.DataFrame([(0, 1, 0)], columns=possible_values)
actual = get_dummies(data, possible_values)
assert_frame_equal(expected, actual)
def test_only_one_value_many_times():
possible_values = ["val1", "val2", "val3"]
data = pd.Series(["val2", "val2", "val2", "val2", "val2", "val2"])
expected = pd.DataFrame([(0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)], columns=possible_values)
actual = get_dummies(data, possible_values)
assert_frame_equal(expected, actual)
def test_all_values():
possible_values = ["val1", "val2", "val3"]
data = pd.Series(["val1", "val3", "val1", "val2"])
expected = pd.DataFrame([(1, 0, 0), (0, 0, 1), (1, 0, 0), (0, 1, 0)], columns=possible_values)
actual = get_dummies(data, possible_values)
assert_frame_equal(expected, actual)
def test_all_values_and_nan():
possible_values = ["val1", "val2", "val3"]
data = pd.Series(["val1", "val3", "val1", "val2", np.nan])
expected = pd.DataFrame([(1, 0, 0), (0, 0, 1), (1, 0, 0), (0, 1, 0), (np.nan, np.nan, np.nan)],
columns=possible_values)
actual = get_dummies(data, possible_values)
assert_frame_equal(expected, actual)
def test_only_nan():
possible_values = ["val1", "val2", "val3"]
data = pd.Series([np.nan, np.nan, np.nan, np.nan])
expected = pd.DataFrame([(np.nan, np.nan, np.nan), (np.nan, np.nan, np.nan), (np.nan, np.nan, np.nan),
(np.nan, np.nan, np.nan)], columns=possible_values)
actual = get_dummies(data, possible_values)
assert_frame_equal(expected, actual)
|
[
"edu.blancas@gmail.com"
] |
edu.blancas@gmail.com
|
6c107b66a3a89604ab9290c54f27e7ff1faa9675
|
b23c5bf483b4df164709313b5d0a2fd21e5df8d7
|
/components/actor/boss.py
|
6fb32e3bb9fdcc90943bb97928019332bbe4f3e9
|
[] |
no_license
|
arbuz777/ECS-Game
|
9b5abb0e8c2a01bd38b2138d82ad872a9b68a2e8
|
c01cc9efdff9ace77613a94b648086c85f7ead31
|
refs/heads/master
| 2023-03-17T06:20:20.747308
| 2020-02-10T02:09:30
| 2020-02-10T02:09:30
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 82
|
py
|
class BossComponent:
' Tags the entity as being the boss. '
__slots__ = ()
|
[
"0jason.gilbert@gmail.com"
] |
0jason.gilbert@gmail.com
|
3c516e258b544d23bd249e9626f358cd03fdac0a
|
14238f04b56f3ce9da84f5c001956c1640486a13
|
/task_1.py
|
89311d9b78cd5248e92e6018bdff55d9ea27b0b6
|
[] |
no_license
|
Alumasa/Python-Basics-Class
|
16e6400b700aa51a7258a5d8f851aa1986839ef5
|
24ee287ef268f6817f882d04769bc0ba1c4a03cc
|
refs/heads/master
| 2021-10-23T06:30:15.149769
| 2021-10-19T08:33:28
| 2021-10-19T08:33:28
| 198,873,059
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,572
|
py
|
""""x = str(input("Input a string:"))
if (x == "yes") or (x == "YES") or (x == "Yes"):
print("Yes")
else:
print("No")"""
#task2
""""number1 = int(input("Input a number:"))
number2 = int(input("Input a second number:"))
number3 = int(input("Input a third number:"))
if (number1 >= number2) and (number1 >= number3):
largest = number1
elif (number2 >= number1) and (number2 >= number3):
largest = number2
else:
largest = number3
print("The largest= ", largest)"""
#task3 makes a new list of the first and last elements
""""numberList = [78, 76, 67, 432, 65432]
def listMaker(numberList):
if len(numberList) >= 2:
return [numberList[0], numberList[-1]]
else:
return [numberList[0]]
newList = listMaker(numberList)
print("This is the new list:", newList)"""
#task4 ask user for a number,even or odd, print out appropriate message.
# fnumber = int(input("Please input any number:"))
#
# def numChecker(fnumber):
# if (fnumber % 2) == 0:
# print("Your number is even.")
# if (fnumber % 4) == 0:
# print("It is a multiple of 4!!")
# else:
# print("Your number is odd.")
#
# numChecker(fnumber)
#task5 print first and last half values of tuple is two lines.
randomNumber = (1)
def halfPrinter(randomNumber):
length = int(len(randomNumber) / 2)
if length > 1:
return str(randomNumber[0:length]) + '\n' + str(randomNumber[length:])
else:
return str(randomNumber[0])
#print("The half size of the tuple is:", length)
print(halfPrinter(randomNumber))
|
[
"alumasa.v@gmail.com"
] |
alumasa.v@gmail.com
|
3341d16784036b00723be38b738e54bcf81b3168
|
40b2334c2de09e2369ce56d744cb9aa7be363260
|
/src/agent/mnist/model/CNNDQN.py
|
a11dfb40d3faa793edf8f305c5062e5a207a62ee
|
[] |
no_license
|
camelop/RL-fooling-framework
|
4b036ab80480153810d2ee912ba36320793271b8
|
c3164d3712b566064fdf8b9994b4e0871e161843
|
refs/heads/master
| 2020-04-13T23:57:41.966573
| 2019-10-21T05:22:40
| 2019-10-21T05:22:40
| 163,520,589
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,361
|
py
|
from util.config import Config
config = Config()
from util.logger import Logger
logger = Logger()
from util import getTimeStr
from agent.mnist.model.MnistAgentModelBase import MnistAgentModelBase
import numpy as np
import mxnet as mx
from mxnet import autograd, gluon, init, nd
from mxnet.gluon import loss as gloss, nn
class CNNDQN(MnistAgentModelBase):
def __init__(self, learning_rate=0.01, diff_state=True, load_from=None, save_after_every=10, weight_decay=0):
self.diff_state = diff_state
self.learning_rate = learning_rate
self.save_counter = 0
self.save_after_every = save_after_every
self.net = nn.Sequential()
self.net.add(
# nn.Conv2D(channels=4, kernel_size=1, padding = 0, activation='relu'),
nn.Conv2D(channels=64, kernel_size=5, padding = 2, activation='relu'),
nn.BatchNorm(),
# nn.Conv2D(channels=4, kernel_size=3, padding = 1, activation='relu'),
nn.Conv2D(channels=32, kernel_size=1, padding = 0, activation='relu'),
nn.BatchNorm(),
nn.Conv2D(channels=16, kernel_size=1, padding = 0, activation='relu'),
nn.BatchNorm(),
nn.Conv2D(channels=2, kernel_size=1, padding = 0, activation='relu'),
)
def try_gpu():
try:
ctx = mx.gpu()
_ = nd.zeros((1,), ctx=ctx)
except mx.base.MXNetError:
ctx = mx.cpu()
return ctx
self.ctx = try_gpu()
self.net.initialize(force_reinit=True, ctx=self.ctx, init=init.Xavier(magnitude=0.01))
self.loss = gloss.L2Loss()
self.trainer = gluon.Trainer(self.net.collect_params(), 'sgd', {'learning_rate': learning_rate, 'wd': weight_decay})
if load_from is not None:
self.load(load_from)
def predict(self, state):
channel, row, col = state.shape
if self.diff_state:
state[0] = np.abs(state[0] - state[1])
state = nd.array(state.reshape(1, channel, row, col)).as_in_context(self.ctx)
return self.net(state).asnumpy()
def train(self, state, action_mask, reward, epoch=3):
if self.diff_state:
state[:, 0] = np.abs(state[:, 0] - state[:, 1])
state = nd.array(state).as_in_context(self.ctx)
action_mask = nd.array(action_mask).as_in_context(self.ctx)
reward = nd.array(reward).as_in_context(self.ctx)
losses = []
self.net.collect_params()
for e in range(epoch):
with autograd.record():
reward_hat = self.net(state) * action_mask
l = self.loss(reward_hat, reward).sum()
losses.append(l.asscalar())
l.backward()
self.trainer.step(state.shape[0])
logger.info("loss: {}".format(str(losses)))
self.save_counter += 1
if (self.save_counter+1) % self.save_after_every == 0:
self.save()
def save(self, loc=None):
if loc is None:
loc = "{}/{}[{}]-{}.mxparam".format(config.mnist_agent_model_checkpoint_dir, str(self), self.save_counter, getTimeStr())
logger.info("Saving net to {}".format(loc))
self.net.save_parameters(loc)
logger.info("Saved net to {}".format(loc))
def load(self, loc):
self.net.load_parameters(loc)
|
[
"lxy9843@sjtu.edu.cn"
] |
lxy9843@sjtu.edu.cn
|
0e65fc2b6a10c1c6f812606ab4b66ed429350843
|
df62b81ee990c33689103b144a234cdb4198dc21
|
/02-methods/2-3-08-wait.py
|
12fd0632c2745de3e2468a1cdb461c62c72f30e5
|
[] |
no_license
|
dsamoylov/stepik-selenium
|
3f6aa525c1804f728de5ee352850d8b92786970f
|
fb1b102e6e87cb3da44844cc0417930639e045a8
|
refs/heads/main
| 2023-06-11T17:06:35.069172
| 2021-07-10T09:23:22
| 2021-07-10T09:23:22
| 384,656,799
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,306
|
py
|
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium import webdriver
import time
import math
def calc(x):
return str(math.log(abs(12*math.sin(int(x)))))
try:
link = "http://suninjuly.github.io/explicit_wait2.html"
browser = webdriver.Chrome()
browser.get(link)
button = browser.find_element_by_css_selector("button.btn")
WebDriverWait(browser, 20).until(EC.text_to_be_present_in_element((By.ID, "price"), '$100'))
button.click()
x_element = browser.find_element_by_id("input_value")
x = x_element.text
y = calc(x)
print(y)
input_field = browser.find_element_by_id("answer")
input_field.send_keys(y)
# Отправляем заполненную форму
button = browser.find_element_by_id("solve")
browser.execute_script("return arguments[0].scrollIntoView(true);", button)
button.click()
finally:
# ожидание чтобы визуально оценить результаты прохождения скрипта
time.sleep(10)
# закрываем браузер после всех манипуляций
browser.quit()
|
[
"d.samoylov@gmail.com"
] |
d.samoylov@gmail.com
|
c3a5b42cf28ba95987b3e86849e2d77f1586d056
|
afd3799b7eb2dbbc68e79c5b6aa3a86269db3ac7
|
/task3-2.py
|
8834039c078eaa989ab7815e46b7cd024118b45c
|
[] |
no_license
|
pgenkin/geekbrains
|
ca4960952b0cf830ca30358f10c76c866f73f3da
|
618577a22c43bc54e1403e1d8aeb2e659e9ca11d
|
refs/heads/main
| 2023-04-21T16:41:38.905260
| 2021-04-07T20:57:18
| 2021-04-07T20:57:18
| 345,407,498
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 617
|
py
|
def user_data_output(name, surname, year, city, email, phone):
print(f"First name: {name}; Last name: {surname}; Born in: {year}; Lives in: {city}; Email: {email}; Phone: {phone}")
return
first_name = input("Enter your first name: ")
last_name = input("Enter your last name: ")
dob = input("Enter the year your were born in: ")
city_name = input("Enter your city: ")
email_address = input("Enter your email address: ")
phone_number = input("Enter your phone number: ")
user_data_output(name=first_name, surname=last_name, year=dob, city=city_name,
email=email_address, phone=phone_number)
|
[
"noreply@github.com"
] |
pgenkin.noreply@github.com
|
c7ba4872c6d2d0f7546a3594c8f71c5f5bea2368
|
dd6531197b712fa6e284ee274b841fc7449bba2b
|
/snakelet/utilities/conversion.py
|
d7315a98511af9649b6f366ca4e86db14a25fe29
|
[
"MIT"
] |
permissive
|
alexgurrola/snakelet
|
9c066e70686708388a5ec7f3a0844118c104cdb0
|
5b9b552f51473f823eba15a5a1525ae0a5999ca6
|
refs/heads/master
| 2021-08-20T01:51:49.693605
| 2021-08-17T01:05:02
| 2021-08-17T01:05:02
| 122,287,286
| 2
| 1
|
MIT
| 2021-04-29T20:09:48
| 2018-02-21T03:20:19
|
Python
|
UTF-8
|
Python
| false
| false
| 672
|
py
|
import re
def snake(string: str):
"""
:param string:
:return:
"""
return re.sub("([A-Z])", "_\\1", string).lower().lstrip("_")
def camel(string: str):
"""
:param string:
:return:
"""
return "".join(map(str.capitalize, string.split("_")))
class Conversion:
cases = {
'snake': snake,
'camel': camel
}
def __init__(self, case: str = None):
"""
:param case:
"""
self.case = self.cases['snake' if not case or case not in self.cases else case]
def encode(self, data: str):
"""
:param data:
:return:
"""
return self.case(data)
|
[
"alexgurrola1@gmail.com"
] |
alexgurrola1@gmail.com
|
0fa310bef86d7107cc5edbe56e7901a270e036a1
|
cebbf770f7421553408c4c17bf2fcdec96dfbf33
|
/cloudworkers2.py
|
01f2c74f37df69a399348b3a39c04fa4be114d89
|
[] |
no_license
|
sduranowski1/Chat-Moderator-bot
|
cff4f764043f4f74de5f7537affe334115c4d3d2
|
8a0a9b34d2990b9994f34e94a703ac10ce72eef5
|
refs/heads/main
| 2023-02-27T00:41:10.962368
| 2021-02-06T18:35:38
| 2021-02-06T18:35:38
| 336,605,709
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,424
|
py
|
from selenium import webdriver
from time import sleep
import re
from selenium.webdriver.common.keys import Keys
from webdriver_manager.chrome import ChromeDriverManager
from chatterbot.trainers import ListTrainer
from chatterbot import ChatBot
from selenium.common.exceptions import NoSuchElementException, StaleElementReferenceException, ElementNotInteractableException, NoSuchWindowException, WebDriverException, UnexpectedAlertPresentException
# from selenium.webdriver.common.action_chains import ActionChains
import random
import os
import sys
import datetime
class TinderBot():
def __init__(self, username, password):
self.username = username
self.password = password
self.driver = webdriver.Firefox()
#self.driver = webdriver.Chrome(ChromeDriverManager().install())
def login(self):
self.driver.get("http://agents.moderationinterface.com/login")
sleep(2)
login_button = self.driver.find_element_by_xpath("/html/body/app-root/block-ui/ng-component/div/div/div/div/div/div/div/div/form/div[1]/div/input")
login_button.click()
sleep(2)
email_in = self.driver.find_element_by_xpath("//input[@name='username']")
email_in.clear()
email_in.send_keys(self.username)
pw_in = self.driver.find_element_by_xpath("/html/body/app-root/block-ui/ng-component/div/div/div/div/div/div/div/div/form/div[2]/div/input")
pw_in.send_keys(self.password)
pw_in.send_keys(Keys.RETURN)
def post_comment(self, comment_text,):
sleep(5)
try:
comment_box_elem = lambda: self.driver.find_element_by_xpath('//*[@id="chat-windows-message-textarea"]')
comment_box_elem().send_keys("")
comment_box_elem().clear()
for letter in comment_text:
comment_box_elem().send_keys(letter)
sleep(random.randint(1, 4) / 90)
except (NoSuchWindowException, ElementNotInteractableException, UnexpectedAlertPresentException, WebDriverException):
print('No element of that id present!')
self.driver.refresh()
print('Page has been refreshed.')
try:
self.driver.find_element_by_xpath("/html/body/app-root/block-ui/ng-component/div/ng-component/div/div/div/div/div[2]/div/form/div[2]/div/div/div/div[2]/div/button").click()
except (NoSuchElementException, NoSuchWindowException, ElementNotInteractableException, UnexpectedAlertPresentException, WebDriverException):
print('No element of that id present!')
"""grab comments from a picture page"""
def get_comments(self):
# load more comments if button exists
sleep(5)
try:
comments_block = self.driver.find_element_by_class_name('timeline')
comments_in_block = comments_block.find_elements_by_class_name('timeline-body')
comments = [x.find_element_by_tag_name('p') for x in comments_in_block]
user_comment = re.sub(r'#.\w*', '', comments[0].text)
except (NoSuchElementException, NoSuchWindowException, ElementNotInteractableException, UnexpectedAlertPresentException, WebDriverException):
return 'nul'
return user_comment
"""have bot comment on picture"""
def comment_on_picture(self):
bot = ChatBot('cloudworkersbot')
ListTrainer(bot)
picture_comment = self.get_comments()
# user's comment and bot's response
response = bot.get_response(picture_comment).__str__()
print("User's Comment", picture_comment)
print("Bot's Response", response)
dup_items = set()
uniq_items = []
for x in response:
if x not in dup_items:
uniq_items.append(x)
dup_items.add(x)
return self.post_comment(response)
bot = TinderBot(username='EN-1818', password='cRut9yl6afr8cHe')
#while datetime.datetime.now().hour < 9:
if __name__ == '__main__':
bot.login()
for i in range(100):
print(bot.get_comments())
print("Posted Comment", bot.comment_on_picture())
os.system("killall -9 'firefox-bin'")
os.execv(sys.executable, ['python'] + sys.argv)
# if __name__ == '__main__':
# TinderBot()
# os.execl(sys.executable, sys.executable, *sys.argv)
# Oh darling , actually I just wanted to tell you that you look awesome on your profile pic
|
[
"noreply@github.com"
] |
sduranowski1.noreply@github.com
|
2f2007b80c396847b2dfbba44eed7065ef9ad1da
|
dc2203fcb3fe18da31d8f577dc9b7534f3ac8f13
|
/Final1.py
|
326b147f9a62abad4d75fff1c1fd3dcb08f6b7ca
|
[] |
no_license
|
Lamarwhigham1/Final-Project
|
234b39cf257a00b7f73f048123011b07c925ad29
|
39a2d8ebb9daef7db561deb44a8909eff56eeaf9
|
refs/heads/master
| 2021-08-23T02:53:51.874798
| 2017-12-02T18:33:58
| 2017-12-02T18:33:58
| 112,861,311
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 202
|
py
|
'''
Created on Dec 2, 2017
@author: ITAUser
'''
numberlist=[];
Number=int(input("Enter a Number:"))
for i in range(1,Number + 1):
if (Number%i==0):
numberlist.append(i)
print(numberlist);
|
[
"33788867+Lamarwhigham1@users.noreply.github.com"
] |
33788867+Lamarwhigham1@users.noreply.github.com
|
8182f6e54492b844cb1c0ef0e09bc533df2bdf1b
|
9961cb32ff98d06956dd318b2ade2980291347dd
|
/Count leaf Nodes.py
|
3041ad3d5f46c60106c2420e1b528b687e4909a6
|
[] |
no_license
|
sunnysunita/generic-tree
|
ca3e0900484bfb46582d74be2db439d5db548947
|
768a719cfb404b1b8a1c7320d8990575ff391cb3
|
refs/heads/master
| 2022-07-11T20:58:47.623069
| 2020-05-06T15:01:06
| 2020-05-06T15:01:06
| 260,915,437
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,012
|
py
|
class treeNode:
def __init__(self, data):
self.data = data
self.children = []
def __str__(self):
return str(self.data)
def leafNodeCount(root):
#############################
# PLEASE ADD YOUR CODE HERE #
#############################
count = 0
if root is None:
return count
if len(root.children) == 0:
count += 1
return count
for child in root.children:
count = count + leafNodeCount(child)
return count
def createLevelWiseTree(arr):
root = treeNode(int(arr[0]))
q = [root]
size = len(arr)
i = 1
while i<size:
parent = q.pop(0)
childCount = int(arr[i])
i += 1
for j in range(0,childCount):
temp = treeNode(int(arr[i+j]))
parent.children.append(temp)
q.append(temp)
i += childCount
return root
# Main
arr = list(int(x) for x in input().strip().split(' '))
tree = createLevelWiseTree(arr)
print(leafNodeCount(tree))
|
[
"sunnysunita.com@gmail.com"
] |
sunnysunita.com@gmail.com
|
767d7d5658b89c474a5171f2fb7f129f36b2b4d9
|
a27928d964a27d0c77975623a6c777eaba739e28
|
/venv/bin/pip2.7
|
ddf5580abbf1eebbf1bebfcd50f353e6faaff16c
|
[] |
no_license
|
jslu9/PhotoAlbumApp
|
a92bce19d611a509784ab6125aeecbb3fa803ab8
|
5f637e1ee1c7e9af24b43b7909bc70bdb6c2d3ab
|
refs/heads/master
| 2020-05-21T07:15:09.864302
| 2017-03-13T07:07:10
| 2017-03-13T07:07:10
| 84,592,919
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 230
|
7
|
#!/Users/atom/PhotoAlbumApp/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
|
[
"atom@justins-imac.attlocal.net"
] |
atom@justins-imac.attlocal.net
|
fc30980eca64b6d2199070e5593e7c55ebe8de38
|
6dc8a8cca60502fba19c99c3d2a1c07d0c79b676
|
/MW90.bas.10.A5xI.D5C5.py
|
e676bb251c29ca47610192d4232fd61a17b080ad
|
[] |
no_license
|
marcelteun/UniformPolyhedra
|
7d7970d412c515360d896166dead40b0801314b4
|
ce41d6be97bdd984c4baf485b7a583f9c9b82ea3
|
refs/heads/master
| 2021-01-20T06:55:13.454746
| 2012-02-17T23:07:15
| 2012-02-17T23:07:15
| 1,103,365
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 24
|
py
|
MW82.bas.10.A5xI.D5C5.py
|
[
"marcelteun@gmail.com"
] |
marcelteun@gmail.com
|
41ae37d9b9aea9c22a68902cb832b9442b095cd8
|
26b334c726bfbb3ce91d028901fa81f38862725f
|
/IntentClassification/Parameters.py
|
f792235959966269045508d931f8236cf457a3a2
|
[] |
no_license
|
gauravghid/IntentIdentifcation
|
2ecb15534fb512a5c6af25075afa4c526338ca12
|
602ee8ea04e85ff619edf1fa3693832fb3d94b89
|
refs/heads/master
| 2020-03-23T21:57:17.836200
| 2018-07-24T19:00:29
| 2018-07-24T19:00:29
| 142,143,211
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,191
|
py
|
logpath = "."
app_url = "http://10.32.215.23:8000/Intent/"
data_Path = './Train_data/'
dataFileName = 'SourceData.xlsx'
trainFileName = 'Train_Intents.xlsx'
testFileName = 'Test_Intents.xlsx'
Label = 'Label'
class_id = 'class_ids'
probability = 'Probability'
tensorFlowLogFile = 'tensorflow.log'
dataColumn = 'sentence'
labelColumn = 'label'
labelStrColumn = 'labelStr'
module_spec_Url = "https://tfhub.dev/google/nnlm-en-dim128/1"
module_Spec_Path = './model/32f2b2259e1cc8ca58c876921748361283e73997'
n_classes = 5
model_dir = '/home/osboxes/Downloads/models/chatbot'
prob = 'probabilities'
default = 'default'
LABELS = [
'ApprovalPolicy', 'InvoiceStatus', 'InvoiceSubProcess', 'Rushpayment','SmallTalk'
]
import logging
logFormatter = logging.Formatter("%(asctime)s [%(threadName)-12.12s] [%(levelname)-5.5s] %(message)s")
logger = logging.getLogger()
logger.setLevel(logging.INFO)
fileHandler = logging.FileHandler("{0}/{1}.log".format(".", "Intent"))
fileHandler.setFormatter(logFormatter)
logger.addHandler(fileHandler)
consoleHandler = logging.StreamHandler()
consoleHandler.setFormatter(logFormatter)
logger.addHandler(consoleHandler)
http_proxy = ''
https_proxy = ''
|
[
"singhgaurav91@gmail.com"
] |
singhgaurav91@gmail.com
|
71e04bc30953211c391db36994b7375c3de21f86
|
2f85a2d3917a92d0d990620c9cbd7ad50956c876
|
/session03/type-demo.py
|
059e70c0f2a192f7d162ae99ebb83d77d40b46c4
|
[] |
no_license
|
KyleLawson16/mis3640
|
14e57203a495c6f40188e6f5c8bf3ec82605e924
|
647a86838ff77544970973196941cd433851b150
|
refs/heads/master
| 2020-03-27T16:41:37.798702
| 2018-11-01T19:40:03
| 2018-11-01T19:40:03
| 146,800,315
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 349
|
py
|
'''
Age Validator w/ Error Handling
'''
age = input('Please enter your age: ')
def check_age(age):
try:
age = int(age)
if age >= 21:
print('yes, you can.')
else:
print('sorry, you cannot.')
except:
age = input('Please enter a valid number: ')
check_age(age)
check_age(age)
|
[
"Kyle.Lawson7@yahoo.com"
] |
Kyle.Lawson7@yahoo.com
|
173e4c5368fbb933fe6add8012f367ebfc4cf777
|
14f69686d426bab975e86c3dfe16a4943bb6b966
|
/samples/fig5.py
|
accc199dfc0495359087a54dc6fb49913c761bf0
|
[
"MIT"
] |
permissive
|
ctschnur/kr-poylmer-growth-simulation
|
82fff053f00f1dfe108c742f325fca77a3ee3bd5
|
7dfbd71cd7cc96eb34afe5632cbb18e95ca87e74
|
refs/heads/main
| 2023-02-25T21:35:26.116501
| 2021-01-28T09:16:45
| 2021-01-28T09:16:45
| 315,961,664
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,257
|
py
|
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
# -- import most important classes
from kr.kr import Kr, Kr_constants
from kr.plot_utils import Plot_utility
def mpl_settings():
# -- plotting settings
pgf_with_custom_preamble = {
"figure.figsize": (6.4*0.8, 4.8*0.7),
"savefig.format": "png", # change this to pgf or png
"pgf.rcfonts": False, # don't use pre-specified fonts (in rcParmams)
"text.usetex": True, # use latex backend not just built-in MathText
"text.latex.unicode": True, # to be able to pass unicode characters to mpl
"text.latex.preamble": [ # required for actual rendering to png
r"\usepackage{amsmath, siunitx}",
],
"pgf.preamble": [ # when exporting pgf code, mpl checks it for compilablity
r"\usepackage{amsmath, siunitx}",
]}
mpl.rcParams.update(pgf_with_custom_preamble)
def fig5(my_kr):
config_title = "FIG05-1000"
print(" --- ", config_title)
# import a configuration of initial parameters
importdict = Kr_constants.import_dict_from_file("conf.json", config_title)
# show first, which simulation parameters are different
# compared with DEFAULT configuration
print("custom simulation parameters: \n",
Kr_constants.compare_dicts(
importdict,
Kr_constants.import_dict_from_file("conf.json", "DEFAULT")))
evolution_data_unit_dict, clds = my_kr.run(
importdict)
# --- dispersity
bundle_name = "dispersity"
config_and_bundle_str = config_title + bundle_name
x_name, y_name = evolution_data_unit_dict[bundle_name].get_xy_names()
fig, ax = plt.subplots()
ax.set_xlabel("$X$")
ax.set_ylabel("$\mathrm{PDI}$")
# # reference data
# ref_x, ref_y = np.loadtxt("paper_ref_data/butteFig5b-KR1000pointssolid.csv",
# skiprows=1, delimiter=',', unpack=True)
# ax.plot(ref_x, ref_y, ".", markersize=5, alpha=0.8, color="k",
# label=r"reference simulated curve")
# bundle data
x, y = evolution_data_unit_dict[bundle_name].get_xy_vectors()
ax.plot(x, y, linestyle='-', label="simulated")
ax.grid()
ax.legend(loc='upper left')
plt.tight_layout()
plt.savefig(my_kr.get_run_hash_str() + config_and_bundle_str)
plt.savefig(my_kr.get_run_hash_str() + "_" +
config_and_bundle_str + ".pgf", format="pgf")
fig_clds = plt.figure()
Plot_utility.plot_clds(
clds,
refdatas=[
# {
# "data": np.loadtxt(
# "paper_ref_data/butteFig5a-KR1000pointssolid.csv",
# skiprows=1, delimiter=','),
# "label": "$X=0.6$"
# }
],
labels={"config_and_bundle_str": "FIG05-1000",
# "ref": r"reference simulated curve",
"own": "simulated"},
kr_obj=my_kr, savefig=True, savefig_pgf=True, mpl_figure=fig_clds)
def main():
mpl_settings() # matplotlib settings
my_kr = Kr()
fig5(my_kr)
if __name__ == "__main__":
main()
|
[
"534ttl3@gmail.com"
] |
534ttl3@gmail.com
|
757c440c03c5231fcb862b3eceeab975475d24dd
|
a198e2469c63649fcccae4ffa3c4343899a81906
|
/project/project/settings.py
|
6483912729c77f2e39d72c648a2c0878740fca35
|
[] |
no_license
|
kkltcjk/stock
|
8531dff442d448e51b0d9b4244278795fe954340
|
d92d5dbaf4ac8213338a405327a8e4f6a6ef0e76
|
refs/heads/master
| 2020-09-13T23:17:53.863398
| 2016-05-08T15:00:56
| 2016-05-08T15:00:56
| 67,521,761
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,982
|
py
|
"""
Django settings for project project.
Generated by 'django-admin startproject' using Django 1.8.1.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.8/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.8/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'm8(kx(mdce!0==2&(2)-rfk99j9aul-4qxdbc-0f!qi&8!xdnc'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = (
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'ios',
'database',
'stock',
)
MIDDLEWARE_CLASSES = (
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
# 'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.auth.middleware.SessionAuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
'django.middleware.security.SecurityMiddleware',
)
ROOT_URLCONF = 'project.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'project.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.8/ref/settings/#databases
# DATABASES = {
# 'default': {
# 'ENGINE': 'django.db.backends.sqlite3',
# 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
# }
# }
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
# 'default': {
# 'ENGINE': 'django.db.backends.mysql',
# 'NAME': 'bill',
# 'USER': 'kklt',
# 'PASSWORD': 'password',
# 'HOST': '115.29.103.1',
# 'PORT': '3306',
# }
}
# Internationalization
# https://docs.djangoproject.com/en/1.8/topics/i18n/
LOGGING = {
'version': 1,
'disable_existing_loggers': True,
'formatters': {
'standard': {
'format': '%(levelname)s %(asctime)s %(message)s'
},
},
'filters': {
},
'handlers': {
'mail_admins': {
'level': 'ERROR',
'class': 'django.utils.log.AdminEmailHandler',
'formatter':'standard',
},
'buystockhandler': {
'level':'DEBUG',
'class':'logging.handlers.RotatingFileHandler',
'filename':os.path.join(BASE_DIR, 'stock/log/buystock.log'),
'formatter':'standard',
},
'sellstockhandler': {
'level':'DEBUG',
'class':'logging.handlers.RotatingFileHandler',
'filename':os.path.join(BASE_DIR, 'stock/log/sellstock.log'),
'formatter':'standard',
},
'remindhandler': {
'level':'DEBUG',
'class':'logging.handlers.RotatingFileHandler',
'filename':os.path.join(BASE_DIR, 'stock/log/remind.log'),
'formatter':'standard',
},
'console': {
'level':'DEBUG',
'class':'logging.StreamHandler',
'formatter':'standard',
},
},
'loggers': {
'django.request': {
'handlers': ['mail_admins'],
'level': 'ERROR',
'propagate': True,
},
'buystock':{
'handlers': ['buystockhandler','console'],
'level': 'INFO',
'propagate': False
},
'sellstock':{
'handlers': ['sellstockhandler','console'],
'level': 'INFO',
'propagate': False
},
'remind':{
'handlers': ['remindhandler','console'],
'level': 'INFO',
'propagate': False
},
}
}
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
STATICFILES_DIRS = (
os.path.join(BASE_DIR, 'static'),
)
# https://docs.djangoproject.com/en/1.8/howto/static-files/
STATIC_URL = '/static/'
|
[
"kkltcjk@gmail.com"
] |
kkltcjk@gmail.com
|
0a48515180b994aa9b65bf5b2e8a3fb424eff032
|
22279487bee5c983c13887ba11e6a4cd40e8bbe3
|
/PreprocessData/all_class_files/ParkingFacility.py
|
7cfad07989704ab95ec0352aeaca6ca40c586a99
|
[
"MIT"
] |
permissive
|
DylanNEU/Schema
|
018c9f683c683068422ed7b6392dcebd4ab4d4cd
|
4854720a15894dd814691a55e03329ecbbb6f558
|
refs/heads/main
| 2023-08-30T01:50:20.541634
| 2021-11-01T15:30:41
| 2021-11-01T15:30:41
| 425,238,713
| 1
| 0
|
MIT
| 2021-11-06T12:29:12
| 2021-11-06T12:29:11
| null |
UTF-8
|
Python
| false
| false
| 1,367
|
py
|
from PreprocessData.all_class_files.CivicStructure import CivicStructure
import global_data
class ParkingFacility(CivicStructure):
def __init__(self, additionalType=None, alternateName=None, description=None, disambiguatingDescription=None, identifier=None, image=None, mainEntityOfPage=None, name=None, potentialAction=None, sameAs=None, url=None, additionalProperty=None, address=None, aggregateRating=None, amenityFeature=None, branchCode=None, containedInPlace=None, containsPlace=None, event=None, faxNumber=None, geo=None, globalLocationNumber=None, hasMap=None, isAccessibleForFree=None, isicV4=None, logo=None, maximumAttendeeCapacity=None, openingHoursSpecification=None, photo=None, publicAccess=None, review=None, smokingAllowed=None, specialOpeningHoursSpecification=None, telephone=None, openingHours=None):
CivicStructure.__init__(self, additionalType, alternateName, description, disambiguatingDescription, identifier, image, mainEntityOfPage, name, potentialAction, sameAs, url, additionalProperty, address, aggregateRating, amenityFeature, branchCode, containedInPlace, containsPlace, event, faxNumber, geo, globalLocationNumber, hasMap, isAccessibleForFree, isicV4, logo, maximumAttendeeCapacity, openingHoursSpecification, photo, publicAccess, review, smokingAllowed, specialOpeningHoursSpecification, telephone, openingHours)
|
[
"2213958880@qq.com"
] |
2213958880@qq.com
|
795267c77c531b903e734ab21b42d109c86946fc
|
0fa24b08a48790052f0f0ac9373316b23b7845f1
|
/yandex_school/__init__.py
|
10c9c18f63c199d6141dab4af00db65637d1c8cd
|
[
"Unlicense"
] |
permissive
|
drunckoder/yandex_school
|
910cd162371c97ac69903c93f69e87c50a1ca59d
|
d080fee90b74977e0a671309662893b0f95fad60
|
refs/heads/master
| 2020-07-09T14:42:18.723440
| 2019-12-02T10:03:50
| 2019-12-02T10:03:50
| 203,999,250
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 686
|
py
|
from flask import Flask
from flask_cors import CORS
from flask_restful import Api
from flask_sqlalchemy import SQLAlchemy
from yandex_school.config import DB_URL, DB_LOGIN, DB_PASSWORD, DB_NAME
app = Flask(__name__)
api = Api(app)
cors = CORS(app, resources={r'/*': {'origins': '*'}}) # headache reducer
app.config['SQLALCHEMY_DATABASE_URI'] = f'postgresql://{DB_LOGIN}:{DB_PASSWORD}@{DB_URL}/{DB_NAME}'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False # turning off an outdated feature
# TODO: experimental alchemy flags, might blame weird behavior on them
db = SQLAlchemy(app, engine_options={'echo': False}, session_options={'autoflush': False, 'expire_on_commit': False})
|
[
"drunckoder@gmail.com"
] |
drunckoder@gmail.com
|
7648418f043444812065123ac4e452e493569400
|
00ee627da10a53df5f61c65e5670995be304ee1f
|
/Domain_Generalization/data/data_helper.py
|
ec4d7d214bc57bec673cff17a71aaf1890a2fdbb
|
[
"MIT",
"BSD-2-Clause"
] |
permissive
|
GuardSkill/IntraClassInfoMax
|
f39ea70cb07713ee60be2d58b79965e6e973b44e
|
ddf71318575f9a2183c2bcad7a0cb48972212fe4
|
refs/heads/main
| 2023-02-23T01:11:24.605569
| 2021-01-23T07:20:34
| 2021-01-23T07:20:34
| 331,529,978
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 6,506
|
py
|
from os.path import join, dirname
import numpy as np
import torch
from torch.utils.data import DataLoader
from torchvision import transforms
from data import StandardDataset
from data.DGLoader import DGDataset, TestDGDataset,JigsawDataset, JigsawTestDataset, get_split_dataset_info, _dataset_info, \
JigsawTestDatasetMultiple
from data.concat_dataset import ConcatDataset
mnist = 'mnist'
mnist_m = 'mnist_m'
svhn = 'svhn'
synth = 'synth'
usps = 'usps'
vlcs_datasets = ["CALTECH", "LABELME", "PASCAL", "SUN"]
pacs_datasets = ["art_painting", "cartoon", "photo", "sketch"]
office_datasets = ["amazon", "dslr", "webcam"]
digits_datasets = [mnist, mnist, svhn, usps]
available_datasets = office_datasets + pacs_datasets + vlcs_datasets + digits_datasets
#office_paths = {dataset: "/home/enoon/data/images/office/%s" % dataset for dataset in office_datasets}
#pacs_paths = {dataset: "/home/enoon/data/images/PACS/kfold/%s" % dataset for dataset in pacs_datasets}
#vlcs_paths = {dataset: "/home/enoon/data/images/VLCS/%s/test" % dataset for dataset in pacs_datasets}
#paths = {**office_paths, **pacs_paths, **vlcs_paths}
dataset_std = {mnist: (0.30280363, 0.30280363, 0.30280363),
mnist_m: (0.2384788, 0.22375608, 0.24496263),
svhn: (0.1951134, 0.19804622, 0.19481073),
synth: (0.29410212, 0.2939651, 0.29404707),
usps: (0.25887518, 0.25887518, 0.25887518),
}
dataset_mean = {mnist: (0.13909429, 0.13909429, 0.13909429),
mnist_m: (0.45920207, 0.46326601, 0.41085603),
svhn: (0.43744073, 0.4437959, 0.4733686),
synth: (0.46332872, 0.46316052, 0.46327512),
usps: (0.17025368, 0.17025368, 0.17025368),
}
class Subset(torch.utils.data.Dataset):
def __init__(self, dataset, limit):
indices = torch.randperm(len(dataset))[:limit]
self.dataset = dataset
self.indices = indices
def __getitem__(self, idx):
return self.dataset[self.indices[idx]]
def __len__(self):
return len(self.indices)
def get_train_dataloader(args, patches):
dataset_list = args.source
assert isinstance(dataset_list, list)
datasets = []
val_datasets = []
img_transformer, tile_transformer = get_train_transformers(args)
limit = args.limit_source
for dname in dataset_list:
# name_train, name_val, labels_train, labels_val = get_split_dataset_info(join(dirname(__file__), 'txt_lists', '%s_train.txt' % dname), args.val_size)
name_train, labels_train = _dataset_info(join(dirname(__file__), 'correct_txt_lists', '%s_train_kfold.txt' % dname))
name_val, labels_val = _dataset_info(join(dirname(__file__), 'correct_txt_lists', '%s_crossval_kfold.txt' % dname))
train_dataset = DGDataset(name_train, labels_train, patches=patches, img_transformer=img_transformer,
tile_transformer=tile_transformer, bias_whole_image=args.bias_whole_image)
if limit:
train_dataset = Subset(train_dataset, limit)
datasets.append(train_dataset)
val_datasets.append(
TestDGDataset(name_val, labels_val, img_transformer=get_val_transformer(args),
patches=patches))
dataset = ConcatDataset(datasets)
val_dataset = ConcatDataset(val_datasets)
loader = torch.utils.data.DataLoader(dataset, batch_size=args.batch_size, shuffle=True, num_workers=4, pin_memory=True, drop_last=True, worker_init_fn=np.random.seed(0))
val_loader = torch.utils.data.DataLoader(val_dataset, batch_size=args.batch_size, shuffle=False, num_workers=4, pin_memory=True, drop_last=False, worker_init_fn=np.random.seed(0))
return loader, val_loader
def get_val_dataloader(args, patches=False):
names, labels = _dataset_info(join(dirname(__file__), 'correct_txt_lists', '%s_test_kfold.txt' % args.target))
img_tr = get_val_transformer(args)
val_dataset = TestDGDataset(names, labels, patches=patches, img_transformer=img_tr)
if args.limit_target and len(val_dataset) > args.limit_target:
val_dataset = Subset(val_dataset, args.limit_target)
print("Using %d subset of val dataset" % args.limit_target)
dataset = ConcatDataset([val_dataset])
loader = torch.utils.data.DataLoader(dataset, batch_size=args.batch_size, shuffle=False, num_workers=4, pin_memory=True, drop_last=False, worker_init_fn=np.random.seed(0))
return loader
def get_train_transformers(args):
img_tr = [transforms.RandomResizedCrop((int(args.image_size), int(args.image_size)), (args.min_scale, args.max_scale))]
#img_tr = [transforms.Resize((args.image_size, args.image_size))]
#img_tr.append(transforms.RandomHorizontalFlip(args.random_horiz_flip))
if args.random_horiz_flip > 0.0:
img_tr.append(transforms.RandomHorizontalFlip(args.random_horiz_flip))
if args.jitter > 0.0:
img_tr.append(transforms.ColorJitter(brightness=args.jitter, contrast=args.jitter, saturation=args.jitter, hue=min(0.5, args.jitter)))
img_tr.append(transforms.RandomGrayscale(args.tile_random_grayscale))
img_tr.append(transforms.ToTensor())
img_tr.append(transforms.Normalize([0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]))
tile_tr = []
if args.tile_random_grayscale:
tile_tr.append(transforms.RandomGrayscale(args.tile_random_grayscale))
tile_tr = tile_tr + [transforms.ToTensor(), transforms.Normalize([0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])]
return transforms.Compose(img_tr), transforms.Compose(tile_tr)
def get_val_transformer(args):
img_tr = [transforms.Resize((args.image_size, args.image_size)), transforms.ToTensor(),
transforms.Normalize([0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])]
return transforms.Compose(img_tr)
# def get_target_jigsaw_loader(args):
# img_transformer, tile_transformer = get_train_transformers(args)
# name_train, _, labels_train, _ = get_split_dataset_info(join(dirname(__file__), 'txt_lists', '%s_train.txt' % args.target), 0)
# dataset = JigsawDataset(name_train, labels_train, patches=False, img_transformer=img_transformer,
# tile_transformer=tile_transformer, jig_classes=args.jigsaw_n_classes, bias_whole_image=args.bias_whole_image)
# loader = torch.utils.data.DataLoader(dataset, batch_size=args.batch_size, shuffle=True, num_workers=4, pin_memory=True, drop_last=True)
# return loader
|
[
"qq497291093@gmail.com"
] |
qq497291093@gmail.com
|
0e65ddeecec0cd3368fa0af4d0d2af759d054d14
|
092a8fd0b86a70717faa0ab0067ab4eb0ebb6824
|
/src/quicksave_async/util/logger.py
|
2456706502234dc289efbd892bb6254f91404ddf
|
[] |
no_license
|
adiog/io_quicksave_async
|
d22cc9201fc746a5c1130ed28e19e0f722d1fd3d
|
f27b6795639f282576723ed938054ba132cddf08
|
refs/heads/master
| 2021-08-15T21:36:52.240445
| 2017-11-18T10:13:01
| 2017-11-18T10:13:01
| 106,772,486
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 224
|
py
|
# This file is a part of quicksave project.
# Copyright (c) 2017 Aleksander Gajewski <adiog@quicksave.io>.
import datetime
def log(message=''):
print(datetime.datetime.now().strftime("[%d/%m/%Y %H:%M:%S] ") + message)
|
[
"adiog@brainfuck.pl"
] |
adiog@brainfuck.pl
|
aad3bf4a34c110dac88db523d9d8223a7b0c10ef
|
ddec696f292a1eba01ff6ac125d045af3edf24da
|
/auto-deployment/roles/prober/files/prober.py
|
b979d82d38265bf292c53da9ec67075a89dd9333
|
[] |
no_license
|
liqin323/Nix
|
96de35cb409835d1b68620dbbf81a791cb74a45f
|
8bc686aa4261d1bacceb8dd5c79a36ab5fd4d991
|
refs/heads/master
| 2021-01-17T13:13:53.580353
| 2016-06-23T06:49:03
| 2016-06-23T06:49:03
| 42,692,858
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 6,795
|
py
|
#!/usr/bin/env python
import psutil
import sys
import yaml
from optparse import OptionParser
import os
import threading
import logging
import httplib
import json
__author__ = 'liqin'
class Prober(threading.Thread):
def __init__(self, conf, logger):
threading.Thread.__init__(self)
self.conf = conf
self.logger = logger
self.net_recv = 0
self.net_sent = 0
# A event to notify the thread that it should finish up and exit
self.finished_event = threading.Event()
def run(self):
try:
while not self.finished_event.is_set():
result = self.__probing()
self.__post_result_to_supervisor(result)
self.finished_event.wait(self.conf['prober']['interval'])
except Exception as e:
self.logger.error('%s' % e)
def __probing(self):
system = self.__probe_system()
services = self.__probe_services()
result = {'system': system, 'services': services}
return result
def __probe_system(self):
system = {'cpu': {}, 'memory': {}, 'disk': {}, 'net': {}}
system['name'] = self.conf['host']['name']
system['ip'] = self.conf['host']['ip']
# cpu usage
system['cpu']['count'] = psutil.cpu_count(logical=False)
system['cpu']['percent'] = psutil.cpu_percent()
self.logger.debug('cpu: %s' % system['cpu'])
# memory usage
memory = psutil.virtual_memory()
system['memory']['total'] = memory[0]
system['memory']['percent'] = memory[2]
system['memory']['used'] = memory[3]
system['memory']['free'] = memory[4]
self.logger.debug('memory: %s' % system['memory'])
# disk usage
disk_usage = psutil.disk_usage('/')
system['disk']['total'] = disk_usage.total
disk_io = psutil.disk_io_counters(perdisk=False)
system['disk']['io'] = {}
system['disk']['io']['read_count'] = disk_io[0]
system['disk']['io']['write_count'] = disk_io[1]
system['disk']['io']['read_bytes'] = disk_io[2]
system['disk']['io']['write_bytes'] = disk_io[3]
self.logger.debug('disk: %s' % system['disk'])
# net usage
system['net']['connections_count'] = len(psutil.net_connections())
net_io = psutil.net_io_counters(pernic=True)
net_out_rate = 0
net_in_rate = 0
if self.net_recv != 0 and self.net_sent != 0:
net_out_rate = net_io['eth0'][0] - self.net_sent
net_in_rate = net_io['eth0'][1] - self.net_recv
interval = self.conf['prober']['interval']
net_in_rate = net_in_rate / (1024.00 * interval) # KB/S
net_out_rate = net_out_rate / (1024.00 * interval) # KB/S
system['net']['out_rate'] = net_out_rate
system['net']['in_rate'] = net_in_rate
system['net']['bytes_sent'] = net_io['eth0'][0]
system['net']['bytes_recv'] = net_io['eth0'][1]
system['net']['packets_sent'] = net_io['eth0'][2]
system['net']['packets_recv'] = net_io['eth0'][3]
self.net_sent = net_io['eth0'][0]
self.net_recv = net_io['eth0'][1]
self.logger.debug(('In: %.2f KB/S, Out: %.2f KB/S') % (net_in_rate, net_out_rate))
self.logger.debug('net: %s' % system['net'])
return system
def __probe_services(self):
services = []
for svc in self.conf['services']:
svc_result = {}
svc_result['id'] = svc['id']
svc_result['name'] = svc['name']
svc_process = self.__get_process_by_service_name(svc['name'])
if not svc_process:
svc_result['live'] = False
services.append(svc_result)
continue
else:
svc_result['live'] = True
svc_result['cpu_percent'] = svc_process.cpu_percent()
svc_result['memory_percent'] = svc_process.memory_percent()
mem_info_ex = svc_process.memory_info_ex()
svc_result['virtual_memory_size'] = mem_info_ex[1]
svc_result['shared_memory_size'] = mem_info_ex[2]
try:
self.logger.info('%d' % len(svc_process.connections('tcp4')))
except Exception as e:
pass
services.append(svc_result)
return services
def __get_process_by_service_name(self, svc_name):
for p in psutil.process_iter():
if p.name() == svc_name:
return p
return
def __post_result_to_supervisor(self, result):
try:
conn = httplib.HTTPConnection(self.conf['service_manager']['host'], port=self.conf['service_manager']['port'])
req_headers = {"Content-type": "application/json", "charset": "UTF-8"}
req_body = json.dumps(result)
conn.request("POST", "/v1/results?type=xxx", body=req_body, headers=req_headers)
response = conn.getresponse()
print response.status, response.reason
data = response.read()
print data
conn.close()
except Exception as e:
self.logger.error('%s' % e)
def initLogger(conf):
# create logger
logger = logging.getLogger("prober")
logger.setLevel(conf['prober']['logLevel'])
# create console handler and set level to debug
ch = logging.StreamHandler()
# ch.setLevel(logging.DEBUG)
# create formatter
formatter = logging.Formatter("%(asctime)s [%(levelname)s] %(message)s")
# add formatter to ch
ch.setFormatter(formatter)
# add ch to logger
logger.addHandler(ch)
return logger
def main():
usage = 'usage: %prog [options]'
parser = OptionParser(usage, version='%prog 1.0')
parser.add_option('-c', '--config', dest='config', help='config file')
options, args = parser.parse_args()
if not options.config:
parser.print_help()
return 1
try:
conf_file = os.path.join(os.path.abspath('.'), options.config)
with open(conf_file) as f:
conf = yaml.load(f)
except Exception as e:
parser.error('%s' % e)
return 1
print conf
logger = initLogger(conf)
try:
logger.info('Start probing...')
# create prober and start it
prober = Prober(conf, logger)
prober.start()
# wait for finished
while prober.is_alive():
prober.join(500)
except KeyboardInterrupt:
logger.info('Stop probing...')
prober.finished_event.set()
except Exception as e:
logger.error('%s' % e)
return
if __name__ == '__main__':
sys.exit(main())
|
[
"28865445@qq.com"
] |
28865445@qq.com
|
f9b2b2adb178b6891af96288648b6a7d20b82fb2
|
eb6631d40908ab5af1bf91287959474352badaf6
|
/elpa/jedi-core-20170121.1410/env/bin/easy_install
|
0593a142d6335636ada0e53a713562b8c2bce0e2
|
[] |
no_license
|
ykawamura96/my_emacs_setting
|
86f40accb91faec08fe1e56aa7b30ab5edc9a6f1
|
fbbe36ccf4db4a9487e0028e6f73f4d11c4b2eca
|
refs/heads/master
| 2020-03-30T22:10:00.268593
| 2019-02-14T13:23:07
| 2019-02-14T13:23:07
| 151,652,915
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 286
|
#!/home/mech-user/.emacs.d/elpa/jedi-core-20170121.1410/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
|
[
"yo.kawamura1227@gmail.com"
] |
yo.kawamura1227@gmail.com
|
|
880850097f26544049855382cf49db99b66f1706
|
423760d5f79624170980839e491e63c401e6aa6d
|
/Maya_Scripts/PySide2Template.py
|
e0005f199c3a92f6d4fa1686539cbed21ef6a298
|
[
"MIT"
] |
permissive
|
tadame/TAS_Dev
|
1689027fde43f2f6eb29fe153ac0a37a54ac5613
|
972f439fe7178a5b6f635930623f5ef70f296f06
|
refs/heads/master
| 2020-03-26T20:42:37.862123
| 2020-03-01T17:41:30
| 2020-03-01T17:41:30
| 145,341,021
| 0
| 1
|
MIT
| 2020-02-13T09:01:44
| 2018-08-19T22:09:38
|
Python
|
UTF-8
|
Python
| false
| false
| 2,762
|
py
|
# -*- coding: utf-8 -*-
import pymel.core as pm
import maya.cmds as mc
import maya.OpenMayaUI as omui
# Parsing PySide2 with Qt_py_master.Qt
from Qt_py_master.Qt import QtCore
from Qt_py_master.Qt import QtGui
from Qt_py_master.Qt import QtWidgets
from Qt_py_master.Qt import QtCompat
mainWindow = None
def getMayaWindow():
'''
Get the maya main window as a QMainWindow instance
'''
ptr = omui.MQtUtil.mainWindow()
return QtCompat.wrapInstance(long(ptr), QtWidgets.QMainWindow)
def getMainWindow():
"""
Get Maya Main window
:return: main window
"""
mainWindow = QtWidgets.QApplication.activeWindow()
while True:
parentWin = mainWindow.parent()
if parentWin:
mainWindow = parentWin
else:
break
return mainWindow
class BasicDialog(QtWidgets.QMainWindow):
'''
A basic demo of a Maya PyQt Window.
'''
def __init__(self, parent=getMayaWindow()):
'''
Initialize the window.
'''
super(BasicDialog, self).__init__(parent)#parent???
#Window title
self.setWindowTitle('Maya PyQt Basic Dialog Demo')
self.createUI()
def createUI(self):
########################################################################
#Create Widgets
########################################################################
#: A QComboBox (i.e., drop-down menu) for displaying the possible shape
#: types.
shapeTypeCB = QtWidgets.QComboBox(parent=self)
#: A QLineEdit (i.e., input text box) for allowing the user to specify
#: a name for the new shape.
nameLE = QtWidgets.QLineEdit('newShape', parent=self)
#: A button for when the user is ready to create the new shape.
makeButton = QtWidgets.QPushButton("Make Shape", parent=self)
#: A descriptive label for letting the user know what his current settings
#: will do.
descLabel = QtWidgets.QLabel("This is a description", parent=self)
########################################################################
#Layout the widgets
########################################################################
central_Widget = QtWidgets.QWidget()
self.setCentralWidget(central_Widget)
layout = QtWidgets.QVBoxLayout(central_Widget)
layout.addWidget(shapeTypeCB)
layout.addWidget(nameLE)
layout.addWidget(makeButton)
layout.addWidget(descLabel)
def run():
global mainWindow
if not mainWindow or not mc.window(mainWindow, q=True, exist=True):
mainWindow = BasicDialog()
print ("Opening...")
mainWindow.show()
if __name__ == '__main__':
run()
|
[
"tomas.adame"
] |
tomas.adame
|
732dfaf365d45a2f8c11aea7f8fca9fb0a7a4811
|
c4c159a21d2f1ea0d7dfaa965aeff01c8ef70dce
|
/flask/flaskenv/Lib/site-packages/pip/_internal/commands/__init__.py
|
b82390b90baf4f31e37aaccfcb0dab47e9708893
|
[] |
no_license
|
AhsonAslam/webapi
|
54cf7466aac4685da1105f9fb84c686e38f92121
|
1b2bfa4614e7afdc57c9210b0674506ea70b20b5
|
refs/heads/master
| 2020-07-27T06:05:36.057953
| 2019-09-17T06:35:33
| 2019-09-17T06:35:33
| 208,895,450
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 129
|
py
|
version https://git-lfs.github.com/spec/v1
oid sha256:285fa6ab39e064cb5b3b1917f4ce9acb21b2ae808dcf9c5d95911ce2522d50c2
size 2295
|
[
"github@cuba12345"
] |
github@cuba12345
|
d2ff4579f64f6fc73854e5574860063244b80510
|
9743d5fd24822f79c156ad112229e25adb9ed6f6
|
/xai/brain/wordbase/nouns/_lagoons.py
|
452aad121321f957a678bdebf1e2f97ad4db1d91
|
[
"MIT"
] |
permissive
|
cash2one/xai
|
de7adad1758f50dd6786bf0111e71a903f039b64
|
e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6
|
refs/heads/master
| 2021-01-19T12:33:54.964379
| 2017-01-28T02:00:50
| 2017-01-28T02:00:50
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 238
|
py
|
from xai.brain.wordbase.nouns._lagoon import _LAGOON
#calss header
class _LAGOONS(_LAGOON, ):
def __init__(self,):
_LAGOON.__init__(self)
self.name = "LAGOONS"
self.specie = 'nouns'
self.basic = "lagoon"
self.jsondata = {}
|
[
"xingwang1991@gmail.com"
] |
xingwang1991@gmail.com
|
e4ab16f8f7f5eef53da68d709891820278522466
|
557c1524418c0dc03aff5b0d5b4f13312a1ab748
|
/Website/website/flaskblog/app.py
|
1acdb9d72b31511b7e5fff183a44322813bf171a
|
[] |
no_license
|
theColorfulRainbow/videocapture
|
0049a6b7819828c320f48e38fd6ff9508dfcda44
|
77c04685195fe68e9c7513e64092d375da22f774
|
refs/heads/master
| 2023-03-09T01:49:34.218224
| 2021-02-23T14:07:02
| 2021-02-23T14:07:02
| 218,082,976
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 393
|
py
|
"""
This script runs the application using a development server.
It contains the definition of routes and views for the application.
"""
from flaskblog import app
if __name__ == '__main__':
import os
HOST = os.environ.get('SERVER_HOST', 'localhost')
try:
PORT = int(os.environ.get('SERVER_PORT', '5555'))
except ValueError:
PORT = 5555
app.run(HOST, PORT)
|
[
"s1645821@contador.inf.ed.ac.uk"
] |
s1645821@contador.inf.ed.ac.uk
|
bd05a82a2e83c4ab4590f24632264aee253d9103
|
e9ef3cd143478660d098668a10e67544a42b5878
|
/Lib/corpuscrawler/crawl_aom.py
|
d50bee1821dc4d9ca99f46f8dae1221d0fcd0b11
|
[
"Apache-2.0"
] |
permissive
|
google/corpuscrawler
|
a5c790c19b26e6397b768ce26cf12bbcb641eb90
|
10adaecf4ed5a7d0557c8e692c186023746eb001
|
refs/heads/master
| 2023-08-26T04:15:59.036883
| 2022-04-20T08:18:11
| 2022-04-20T08:18:11
| 102,909,145
| 119
| 40
|
NOASSERTION
| 2022-04-20T08:18:12
| 2017-09-08T22:21:03
|
Python
|
UTF-8
|
Python
| false
| false
| 799
|
py
|
# coding: utf-8
# Copyright 2017 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import absolute_import, print_function, unicode_literals
import re
def crawl(crawler):
out = crawler.get_output(language='aom')
crawler.crawl_pngscriptures_org(out, language='aom')
|
[
"sascha@brawer.ch"
] |
sascha@brawer.ch
|
689030762fd3d8ecc273cc5b9a19029891f5d53b
|
9130ef79d7fc3af654024ce2927b8f58b4d89f18
|
/test/print_training_data.py
|
8bde369e7b7ba352639ef4e6893b95a317419afd
|
[] |
no_license
|
r-wheeler/qa
|
19b5370e75d71b399bfd66457c0404222858cdce
|
28c18bc0b23381e5c9dfd8ee1834f9e559ae9714
|
refs/heads/master
| 2021-05-14T07:56:47.296010
| 2017-12-31T01:19:07
| 2017-12-31T01:19:07
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,605
|
py
|
from preprocessing.vocab_util import *
from datasets.squad_data import SquadData
from flags import get_options_from_flags
import tensorflow as tf
PRINT_LIMIT = 10
WORD_PRINT_LIMIT = 5
def _print_qst_or_ctx_np_arr(arr, vocab, ds, is_ctx, wiq_or_wic):
for z in range(PRINT_LIMIT):
l = []
for zz in range(arr.shape[1]):
i = arr[z, zz]
if i == vocab.PAD_ID:
continue
word = vocab.get_word_for_id(i)
if wiq_or_wic[z, zz] == 1:
word = ("[WIQ:]" if is_ctx else "[WIC:]") + word
l.append(word)
print(" ".join(l))
print("")
def _print_gnd_truths(ds, vocab):
for z in range(PRINT_LIMIT):
question_id = ds.qid[z]
sentences = ds.get_sentences_for_all_gnd_truths(question_id)
print(";".join(sentences))
def _print_ds(vocab, ds):
print("Context")
_print_qst_or_ctx_np_arr(ds.ctx, vocab, ds, is_ctx=True, wiq_or_wic=ds.wiq)
print("Questions")
_print_qst_or_ctx_np_arr(ds.qst, vocab, ds, is_ctx=False, wiq_or_wic=ds.wic)
print("Spans")
print(ds.spn[:PRINT_LIMIT])
print("Ground truths")
_print_gnd_truths(ds, vocab)
print("")
def main(_):
options = get_options_from_flags()
options.num_gpus = 0
with tf.Session() as sess:
squad_data = SquadData(options)
squad_data.setup_with_tf_session(sess)
print("TRAIN")
_print_ds(squad_data.vocab, squad_data.train_ds)
print("DEV")
_print_ds(squad_data.vocab, squad_data.dev_ds)
if __name__ == "__main__":
tf.app.run()
|
[
"obryanlouis@gmail.com"
] |
obryanlouis@gmail.com
|
460acbb039e6072d9e3b75ce2ab21dd79bc13261
|
bda892fd07e3879df21dcd1775c86269587e7e07
|
/leetcode/tools/sortedcontainers/sortedlist.py
|
4e9316e46a6204e68970ef488f6bc163b07c4f4d
|
[] |
no_license
|
CrzRabbit/Python
|
46923109b6e516820dd90f880f6603f1cc71ba11
|
055ace9f0ca4fb09326da77ae39e33173b3bde15
|
refs/heads/master
| 2021-12-23T15:44:46.539503
| 2021-09-23T09:32:42
| 2021-09-23T09:32:42
| 119,370,525
| 2
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 78,983
|
py
|
"""Sorted List
==============
:doc:`Sorted Containers<index>` is an Apache2 licensed Python sorted
collections library, written in pure-Python, and fast as C-extensions. The
:doc:`introduction<introduction>` is the best way to get started.
Sorted list implementations:
.. currentmodule:: sortedcontainers
* :class:`SortedList`
* :class:`SortedKeyList`
"""
# pylint: disable=too-many-lines
from __future__ import print_function
import sys
import traceback
from bisect import bisect_left, bisect_right, insort
from itertools import chain, repeat, starmap
from math import log
from operator import add, eq, ne, gt, ge, lt, le, iadd
from textwrap import dedent
###############################################################################
# BEGIN Python 2/3 Shims
###############################################################################
try:
from collections.abc import Sequence, MutableSequence
except ImportError:
from collections import Sequence, MutableSequence
from functools import wraps
from sys import hexversion
if hexversion < 0x03000000:
from itertools import imap as map # pylint: disable=redefined-builtin
from itertools import izip as zip # pylint: disable=redefined-builtin
try:
from thread import get_ident
except ImportError:
from dummy_thread import get_ident
else:
from functools import reduce
try:
from _thread import get_ident
except ImportError:
from _dummy_thread import get_ident
def recursive_repr(fillvalue='...'):
"Decorator to make a repr function return fillvalue for a recursive call."
# pylint: disable=missing-docstring
# Copied from reprlib in Python 3
# https://hg.python.org/cpython/file/3.6/Lib/reprlib.py
def decorating_function(user_function):
repr_running = set()
@wraps(user_function)
def wrapper(self):
key = id(self), get_ident()
if key in repr_running:
return fillvalue
repr_running.add(key)
try:
result = user_function(self)
finally:
repr_running.discard(key)
return result
return wrapper
return decorating_function
###############################################################################
# END Python 2/3 Shims
###############################################################################
class SortedList(MutableSequence):
"""Sorted list is a sorted mutable sequence.
Sorted list values are maintained in sorted order.
Sorted list values must be comparable. The total ordering of values must
not change while they are stored in the sorted list.
Methods for adding values:
* :func:`SortedList.add`
* :func:`SortedList.update`
* :func:`SortedList.__add__`
* :func:`SortedList.__iadd__`
* :func:`SortedList.__mul__`
* :func:`SortedList.__imul__`
Methods for removing values:
* :func:`SortedList.clear`
* :func:`SortedList.discard`
* :func:`SortedList.remove`
* :func:`SortedList.pop`
* :func:`SortedList.__delitem__`
Methods for looking up values:
* :func:`SortedList.bisect_left`
* :func:`SortedList.bisect_right`
* :func:`SortedList.count`
* :func:`SortedList.index`
* :func:`SortedList.__contains__`
* :func:`SortedList.__getitem__`
Methods for iterating values:
* :func:`SortedList.irange`
* :func:`SortedList.islice`
* :func:`SortedList.__iter__`
* :func:`SortedList.__reversed__`
Methods for miscellany:
* :func:`SortedList.copy`
* :func:`SortedList.__len__`
* :func:`SortedList.__repr__`
* :func:`SortedList._check`
* :func:`SortedList._reset`
Sorted lists use lexicographical ordering semantics when compared to other
sequences.
Some algorithm of mutable sequences are not supported and will raise
not-implemented error.
"""
DEFAULT_LOAD_FACTOR = 1000
def __init__(self, iterable=None, key=None):
"""Initialize sorted list instance.
Optional `iterable` argument provides an initial iterable of values to
initialize the sorted list.
Runtime complexity: `O(n*log(n))`
>>> sl = SortedList()
>>> sl
SortedList([])
>>> sl = SortedList([3, 1, 2, 5, 4])
>>> sl
SortedList([1, 2, 3, 4, 5])
:param iterable: initial values (optional)
"""
assert key is None
self._len = 0
self._load = self.DEFAULT_LOAD_FACTOR
self._lists = []
self._maxes = []
self._index = []
self._offset = 0
if iterable is not None:
self._update(iterable)
def __new__(cls, iterable=None, key=None):
"""Create new sorted list or sorted-key list instance.
Optional `key`-function argument will return an instance of subtype
:class:`SortedKeyList`.
>>> sl = SortedList()
>>> isinstance(sl, SortedList)
True
>>> sl = SortedList(key=lambda x: -x)
>>> isinstance(sl, SortedList)
True
>>> isinstance(sl, SortedKeyList)
True
:param iterable: initial values (optional)
:param key: function used to extract comparison key (optional)
:return: sorted list or sorted-key list instance
"""
# pylint: disable=unused-argument
if key is None:
return object.__new__(cls)
else:
if cls is SortedList:
return object.__new__(SortedKeyList)
else:
raise TypeError('inherit SortedKeyList for key argument')
@property
def key(self): # pylint: disable=useless-return
"""Function used to extract comparison key from values.
Sorted list compares values directly so the key function is none.
"""
return None
def _reset(self, load):
"""Reset sorted list load factor.
The `load` specifies the load-factor of the list. The default load
factor of 1000 works well for lists from tens to tens-of-millions of
values. Good practice is to use a value that is the cube root of the
list size. With billions of elements, the best load factor depends on
your usage. It's best to leave the load factor at the default until you
start benchmarking.
See :doc:`implementation` and :doc:`performance-scale` for more
information.
Runtime complexity: `O(n)`
:param int load: load-factor for sorted list sublists
"""
values = reduce(iadd, self._lists, [])
self._clear()
self._load = load
self._update(values)
def clear(self):
"""Remove all values from sorted list.
Runtime complexity: `O(n)`
"""
self._len = 0
del self._lists[:]
del self._maxes[:]
del self._index[:]
self._offset = 0
_clear = clear
def add(self, value):
"""Add `value` to sorted list.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList()
>>> sl.add(3)
>>> sl.add(1)
>>> sl.add(2)
>>> sl
SortedList([1, 2, 3])
:param value: value to add to sorted list
"""
_lists = self._lists
_maxes = self._maxes
if _maxes:
pos = bisect_right(_maxes, value)
if pos == len(_maxes):
pos -= 1
_lists[pos].append(value)
_maxes[pos] = value
else:
insort(_lists[pos], value)
self._expand(pos)
else:
_lists.append([value])
_maxes.append(value)
self._len += 1
def _expand(self, pos):
"""Split sublists with length greater than double the load-factor.
Updates the index when the sublist length is less than double the load
level. This requires incrementing the nodes in a traversal from the
leaf node to the root. For an example traversal see
``SortedList._loc``.
"""
_load = self._load
_lists = self._lists
_index = self._index
if len(_lists[pos]) > (_load << 1):
_maxes = self._maxes
_lists_pos = _lists[pos]
half = _lists_pos[_load:]
del _lists_pos[_load:]
_maxes[pos] = _lists_pos[-1]
_lists.insert(pos + 1, half)
_maxes.insert(pos + 1, half[-1])
del _index[:]
else:
if _index:
child = self._offset + pos
while child:
_index[child] += 1
child = (child - 1) >> 1
_index[0] += 1
def update(self, iterable):
"""Update sorted list by adding all values from `iterable`.
Runtime complexity: `O(k*log(n))` -- approximate.
>>> sl = SortedList()
>>> sl.update([3, 1, 2])
>>> sl
SortedList([1, 2, 3])
:param iterable: iterable of values to add
"""
_lists = self._lists
_maxes = self._maxes
values = sorted(iterable)
if _maxes:
if len(values) * 4 >= self._len:
_lists.append(values)
values = reduce(iadd, _lists, [])
values.sort()
self._clear()
else:
_add = self.add
for val in values:
_add(val)
return
_load = self._load
_lists.extend(values[pos:(pos + _load)]
for pos in range(0, len(values), _load))
_maxes.extend(sublist[-1] for sublist in _lists)
self._len = len(values)
del self._index[:]
_update = update
def __contains__(self, value):
"""Return true if `value` is an element of the sorted list.
``sl.__contains__(value)`` <==> ``value in sl``
Runtime complexity: `O(log(n))`
>>> sl = SortedList([1, 2, 3, 4, 5])
>>> 3 in sl
True
:param value: search for value in sorted list
:return: true if `value` in sorted list
"""
_maxes = self._maxes
if not _maxes:
return False
pos = bisect_left(_maxes, value)
if pos == len(_maxes):
return False
_lists = self._lists
idx = bisect_left(_lists[pos], value)
return _lists[pos][idx] == value
def discard(self, value):
"""Remove `value` from sorted list if it is a member.
If `value` is not a member, do nothing.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList([1, 2, 3, 4, 5])
>>> sl.discard(5)
>>> sl.discard(0)
>>> sl == [1, 2, 3, 4]
True
:param value: `value` to discard from sorted list
"""
_maxes = self._maxes
if not _maxes:
return
pos = bisect_left(_maxes, value)
if pos == len(_maxes):
return
_lists = self._lists
idx = bisect_left(_lists[pos], value)
if _lists[pos][idx] == value:
self._delete(pos, idx)
def remove(self, value):
"""Remove `value` from sorted list; `value` must be a member.
If `value` is not a member, raise ValueError.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList([1, 2, 3, 4, 5])
>>> sl.remove(5)
>>> sl == [1, 2, 3, 4]
True
>>> sl.remove(0)
Traceback (most recent call last):
...
ValueError: 0 not in list
:param value: `value` to remove from sorted list
:raises ValueError: if `value` is not in sorted list
"""
_maxes = self._maxes
if not _maxes:
raise ValueError('{0!r} not in list'.format(value))
pos = bisect_left(_maxes, value)
if pos == len(_maxes):
raise ValueError('{0!r} not in list'.format(value))
_lists = self._lists
idx = bisect_left(_lists[pos], value)
if _lists[pos][idx] == value:
self._delete(pos, idx)
else:
raise ValueError('{0!r} not in list'.format(value))
def _delete(self, pos, idx):
"""Delete value at the given `(pos, idx)`.
Combines lists that are less than half the load level.
Updates the index when the sublist length is more than half the load
level. This requires decrementing the nodes in a traversal from the
leaf node to the root. For an example traversal see
``SortedList._loc``.
:param int pos: lists index
:param int idx: sublist index
"""
_lists = self._lists
_maxes = self._maxes
_index = self._index
_lists_pos = _lists[pos]
del _lists_pos[idx]
self._len -= 1
len_lists_pos = len(_lists_pos)
if len_lists_pos > (self._load >> 1):
_maxes[pos] = _lists_pos[-1]
if _index:
child = self._offset + pos
while child > 0:
_index[child] -= 1
child = (child - 1) >> 1
_index[0] -= 1
elif len(_lists) > 1:
if not pos:
pos += 1
prev = pos - 1
_lists[prev].extend(_lists[pos])
_maxes[prev] = _lists[prev][-1]
del _lists[pos]
del _maxes[pos]
del _index[:]
self._expand(prev)
elif len_lists_pos:
_maxes[pos] = _lists_pos[-1]
else:
del _lists[pos]
del _maxes[pos]
del _index[:]
def _loc(self, pos, idx):
"""Convert an index pair (lists index, sublist index) into a single
index number that corresponds to the position of the value in the
sorted list.
Many queries require the index be built. Details of the index are
described in ``SortedList._build_index``.
Indexing requires traversing the tree from a leaf node to the root. The
parent of each node is easily computable at ``(pos - 1) // 2``.
Left-child nodes are always at odd indices and right-child nodes are
always at even indices.
When traversing up from a right-child node, increment the total by the
left-child node.
The final index is the sum from traversal and the index in the sublist.
For example, using the index from ``SortedList._build_index``::
_index = 14 5 9 3 2 4 5
_offset = 3
Tree::
14
5 9
3 2 4 5
Converting an index pair (2, 3) into a single index involves iterating
like so:
1. Starting at the leaf node: offset + alpha = 3 + 2 = 5. We identify
the node as a left-child node. At such nodes, we simply traverse to
the parent.
2. At node 9, position 2, we recognize the node as a right-child node
and accumulate the left-child in our total. Total is now 5 and we
traverse to the parent at position 0.
3. Iteration ends at the root.
The index is then the sum of the total and sublist index: 5 + 3 = 8.
:param int pos: lists index
:param int idx: sublist index
:return: index in sorted list
"""
if not pos:
return idx
_index = self._index
if not _index:
self._build_index()
total = 0
# Increment pos to point in the index to len(self._lists[pos]).
pos += self._offset
# Iterate until reaching the root of the index tree at pos = 0.
while pos:
# Right-child nodes are at odd indices. At such indices
# account the total below the left child node.
if not pos & 1:
total += _index[pos - 1]
# Advance pos to the parent node.
pos = (pos - 1) >> 1
return total + idx
def _pos(self, idx):
"""Convert an index into an index pair (lists index, sublist index)
that can be used to access the corresponding lists position.
Many queries require the index be built. Details of the index are
described in ``SortedList._build_index``.
Indexing requires traversing the tree to a leaf node. Each node has two
children which are easily computable. Given an index, pos, the
left-child is at ``pos * 2 + 1`` and the right-child is at ``pos * 2 +
2``.
When the index is less than the left-child, traversal moves to the
left sub-tree. Otherwise, the index is decremented by the left-child
and traversal moves to the right sub-tree.
At a child node, the indexing pair is computed from the relative
position of the child node as compared with the offset and the remaining
index.
For example, using the index from ``SortedList._build_index``::
_index = 14 5 9 3 2 4 5
_offset = 3
Tree::
14
5 9
3 2 4 5
Indexing position 8 involves iterating like so:
1. Starting at the root, position 0, 8 is compared with the left-child
node (5) which it is greater than. When greater the index is
decremented and the position is updated to the right child node.
2. At node 9 with index 3, we again compare the index to the left-child
node with value 4. Because the index is the less than the left-child
node, we simply traverse to the left.
3. At node 4 with index 3, we recognize that we are at a leaf node and
stop iterating.
4. To compute the sublist index, we subtract the offset from the index
of the leaf node: 5 - 3 = 2. To compute the index in the sublist, we
simply use the index remaining from iteration. In this case, 3.
The final index pair from our example is (2, 3) which corresponds to
index 8 in the sorted list.
:param int idx: index in sorted list
:return: (lists index, sublist index) pair
"""
if idx < 0:
last_len = len(self._lists[-1])
if (-idx) <= last_len:
return len(self._lists) - 1, last_len + idx
idx += self._len
if idx < 0:
raise IndexError('list index out of range')
elif idx >= self._len:
raise IndexError('list index out of range')
if idx < len(self._lists[0]):
return 0, idx
_index = self._index
if not _index:
self._build_index()
pos = 0
child = 1
len_index = len(_index)
while child < len_index:
index_child = _index[child]
if idx < index_child:
pos = child
else:
idx -= index_child
pos = child + 1
child = (pos << 1) + 1
return (pos - self._offset, idx)
def _build_index(self):
"""Build a positional index for indexing the sorted list.
Indexes are represented as binary trees in a dense array notation
similar to a binary heap.
For example, given a lists representation storing integers::
0: [1, 2, 3]
1: [4, 5]
2: [6, 7, 8, 9]
3: [10, 11, 12, 13, 14]
The first transformation maps the sub-lists by their length. The
first row of the index is the length of the sub-lists::
0: [3, 2, 4, 5]
Each row after that is the sum of consecutive pairs of the previous
row::
1: [5, 9]
2: [14]
Finally, the index is built by concatenating these lists together::
_index = [14, 5, 9, 3, 2, 4, 5]
An offset storing the start of the first row is also stored::
_offset = 3
When built, the index can be used for efficient indexing into the list.
See the comment and notes on ``SortedList._pos`` for details.
"""
row0 = list(map(len, self._lists))
if len(row0) == 1:
self._index[:] = row0
self._offset = 0
return
head = iter(row0)
tail = iter(head)
row1 = list(starmap(add, zip(head, tail)))
if len(row0) & 1:
row1.append(row0[-1])
if len(row1) == 1:
self._index[:] = row1 + row0
self._offset = 1
return
size = 2 ** (int(log(len(row1) - 1, 2)) + 1)
row1.extend(repeat(0, size - len(row1)))
tree = [row0, row1]
while len(tree[-1]) > 1:
head = iter(tree[-1])
tail = iter(head)
row = list(starmap(add, zip(head, tail)))
tree.append(row)
reduce(iadd, reversed(tree), self._index)
self._offset = size * 2 - 1
def __delitem__(self, index):
"""Remove value at `index` from sorted list.
``sl.__delitem__(index)`` <==> ``del sl[index]``
Supports slicing.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList('abcde')
>>> del sl[2]
>>> sl
SortedList(['a', 'b', 'd', 'e'])
>>> del sl[:2]
>>> sl
SortedList(['d', 'e'])
:param index: integer or slice for indexing
:raises IndexError: if index out of range
"""
if isinstance(index, slice):
start, stop, step = index.indices(self._len)
if step == 1 and start < stop:
if start == 0 and stop == self._len:
return self._clear()
elif self._len <= 8 * (stop - start):
values = self._getitem(slice(None, start))
if stop < self._len:
values += self._getitem(slice(stop, None))
self._clear()
return self._update(values)
indices = range(start, stop, step)
# Delete items from greatest index to least so
# that the indices remain valid throughout iteration.
if step > 0:
indices = reversed(indices)
_pos, _delete = self._pos, self._delete
for index in indices:
pos, idx = _pos(index)
_delete(pos, idx)
else:
pos, idx = self._pos(index)
self._delete(pos, idx)
def __getitem__(self, index):
"""Lookup value at `index` in sorted list.
``sl.__getitem__(index)`` <==> ``sl[index]``
Supports slicing.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList('abcde')
>>> sl[1]
'b'
>>> sl[-1]
'e'
>>> sl[2:5]
['c', 'd', 'e']
:param index: integer or slice for indexing
:return: value or list of values
:raises IndexError: if index out of range
"""
_lists = self._lists
if isinstance(index, slice):
start, stop, step = index.indices(self._len)
if step == 1 and start < stop:
# Whole slice optimization: start to stop slices the whole
# sorted list.
if start == 0 and stop == self._len:
return reduce(iadd, self._lists, [])
start_pos, start_idx = self._pos(start)
start_list = _lists[start_pos]
stop_idx = start_idx + stop - start
# Small slice optimization: start index and stop index are
# within the start list.
if len(start_list) >= stop_idx:
return start_list[start_idx:stop_idx]
if stop == self._len:
stop_pos = len(_lists) - 1
stop_idx = len(_lists[stop_pos])
else:
stop_pos, stop_idx = self._pos(stop)
prefix = _lists[start_pos][start_idx:]
middle = _lists[(start_pos + 1):stop_pos]
result = reduce(iadd, middle, prefix)
result += _lists[stop_pos][:stop_idx]
return result
if step == -1 and start > stop:
result = self._getitem(slice(stop + 1, start + 1))
result.reverse()
return result
# Return a list because a negative step could
# reverse the order of the items and this could
# be the desired behavior.
indices = range(start, stop, step)
return list(self._getitem(index) for index in indices)
else:
if self._len:
if index == 0:
return _lists[0][0]
elif index == -1:
return _lists[-1][-1]
else:
raise IndexError('list index out of range')
if 0 <= index < len(_lists[0]):
return _lists[0][index]
len_last = len(_lists[-1])
if -len_last < index < 0:
return _lists[-1][len_last + index]
pos, idx = self._pos(index)
return _lists[pos][idx]
_getitem = __getitem__
def __setitem__(self, index, value):
"""Raise not-implemented error.
``sl.__setitem__(index, value)`` <==> ``sl[index] = value``
:raises NotImplementedError: use ``del sl[index]`` and
``sl.add(value)`` instead
"""
message = 'use ``del sl[index]`` and ``sl.add(value)`` instead'
raise NotImplementedError(message)
def __iter__(self):
"""Return an iterator over the sorted list.
``sl.__iter__()`` <==> ``iter(sl)``
Iterating the sorted list while adding or deleting values may raise a
:exc:`RuntimeError` or fail to iterate over all values.
"""
return chain.from_iterable(self._lists)
def __reversed__(self):
"""Return a reverse iterator over the sorted list.
``sl.__reversed__()`` <==> ``reversed(sl)``
Iterating the sorted list while adding or deleting values may raise a
:exc:`RuntimeError` or fail to iterate over all values.
"""
return chain.from_iterable(map(reversed, reversed(self._lists)))
def reverse(self):
"""Raise not-implemented error.
Sorted list maintains values in ascending sort order. Values may not be
reversed in-place.
Use ``reversed(sl)`` for an iterator over values in descending sort
order.
Implemented to override `MutableSequence.reverse` which provides an
erroneous default implementation.
:raises NotImplementedError: use ``reversed(sl)`` instead
"""
raise NotImplementedError('use ``reversed(sl)`` instead')
def islice(self, start=None, stop=None, reverse=False):
"""Return an iterator that slices sorted list from `start` to `stop`.
The `start` and `stop` index are treated inclusive and exclusive,
respectively.
Both `start` and `stop` default to `None` which is automatically
inclusive of the beginning and end of the sorted list.
When `reverse` is `True` the values are yielded from the iterator in
reverse order; `reverse` defaults to `False`.
>>> sl = SortedList('abcdefghij')
>>> it = sl.islice(2, 6)
>>> list(it)
['c', 'd', 'e', 'f']
:param int start: start index (inclusive)
:param int stop: stop index (exclusive)
:param bool reverse: yield values in reverse order
:return: iterator
"""
_len = self._len
if not _len:
return iter(())
start, stop, _ = slice(start, stop).indices(self._len)
if start >= stop:
return iter(())
_pos = self._pos
min_pos, min_idx = _pos(start)
if stop == _len:
max_pos = len(self._lists) - 1
max_idx = len(self._lists[-1])
else:
max_pos, max_idx = _pos(stop)
return self._islice(min_pos, min_idx, max_pos, max_idx, reverse)
def _islice(self, min_pos, min_idx, max_pos, max_idx, reverse):
"""Return an iterator that slices sorted list using two index pairs.
The index pairs are (min_pos, min_idx) and (max_pos, max_idx), the
first inclusive and the latter exclusive. See `_pos` for details on how
an index is converted to an index pair.
When `reverse` is `True`, values are yielded from the iterator in
reverse order.
"""
_lists = self._lists
if min_pos > max_pos:
return iter(())
if min_pos == max_pos:
if reverse:
indices = reversed(range(min_idx, max_idx))
return map(_lists[min_pos].__getitem__, indices)
indices = range(min_idx, max_idx)
return map(_lists[min_pos].__getitem__, indices)
next_pos = min_pos + 1
if next_pos == max_pos:
if reverse:
min_indices = range(min_idx, len(_lists[min_pos]))
max_indices = range(max_idx)
return chain(
map(_lists[max_pos].__getitem__, reversed(max_indices)),
map(_lists[min_pos].__getitem__, reversed(min_indices)),
)
min_indices = range(min_idx, len(_lists[min_pos]))
max_indices = range(max_idx)
return chain(
map(_lists[min_pos].__getitem__, min_indices),
map(_lists[max_pos].__getitem__, max_indices),
)
if reverse:
min_indices = range(min_idx, len(_lists[min_pos]))
sublist_indices = range(next_pos, max_pos)
sublists = map(_lists.__getitem__, reversed(sublist_indices))
max_indices = range(max_idx)
return chain(
map(_lists[max_pos].__getitem__, reversed(max_indices)),
chain.from_iterable(map(reversed, sublists)),
map(_lists[min_pos].__getitem__, reversed(min_indices)),
)
min_indices = range(min_idx, len(_lists[min_pos]))
sublist_indices = range(next_pos, max_pos)
sublists = map(_lists.__getitem__, sublist_indices)
max_indices = range(max_idx)
return chain(
map(_lists[min_pos].__getitem__, min_indices),
chain.from_iterable(sublists),
map(_lists[max_pos].__getitem__, max_indices),
)
def irange(self, minimum=None, maximum=None, inclusive=(True, True),
reverse=False):
"""Create an iterator of values between `minimum` and `maximum`.
Both `minimum` and `maximum` default to `None` which is automatically
inclusive of the beginning and end of the sorted list.
The argument `inclusive` is a pair of booleans that indicates whether
the minimum and maximum ought to be included in the range,
respectively. The default is ``(True, True)`` such that the range is
inclusive of both minimum and maximum.
When `reverse` is `True` the values are yielded from the iterator in
reverse order; `reverse` defaults to `False`.
>>> sl = SortedList('abcdefghij')
>>> it = sl.irange('c', 'f')
>>> list(it)
['c', 'd', 'e', 'f']
:param minimum: minimum value to start iterating
:param maximum: maximum value to stop iterating
:param inclusive: pair of booleans
:param bool reverse: yield values in reverse order
:return: iterator
"""
_maxes = self._maxes
if not _maxes:
return iter(())
_lists = self._lists
# Calculate the minimum (pos, idx) pair. By default this location
# will be inclusive in our calculation.
if minimum is None:
min_pos = 0
min_idx = 0
else:
if inclusive[0]:
min_pos = bisect_left(_maxes, minimum)
if min_pos == len(_maxes):
return iter(())
min_idx = bisect_left(_lists[min_pos], minimum)
else:
min_pos = bisect_right(_maxes, minimum)
if min_pos == len(_maxes):
return iter(())
min_idx = bisect_right(_lists[min_pos], minimum)
# Calculate the maximum (pos, idx) pair. By default this location
# will be exclusive in our calculation.
if maximum is None:
max_pos = len(_maxes) - 1
max_idx = len(_lists[max_pos])
else:
if inclusive[1]:
max_pos = bisect_right(_maxes, maximum)
if max_pos == len(_maxes):
max_pos -= 1
max_idx = len(_lists[max_pos])
else:
max_idx = bisect_right(_lists[max_pos], maximum)
else:
max_pos = bisect_left(_maxes, maximum)
if max_pos == len(_maxes):
max_pos -= 1
max_idx = len(_lists[max_pos])
else:
max_idx = bisect_left(_lists[max_pos], maximum)
return self._islice(min_pos, min_idx, max_pos, max_idx, reverse)
def __len__(self):
"""Return the size of the sorted list.
``sl.__len__()`` <==> ``len(sl)``
:return: size of sorted list
"""
return self._len
def bisect_left(self, value):
"""Return an index to insert `value` in the sorted list.
If the `value` is already present, the insertion point will be before
(to the left of) any existing values.
Similar to the `bisect` module in the standard library.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList([10, 11, 12, 13, 14])
>>> sl.bisect_left(12)
2
:param value: insertion index of value in sorted list
:return: index
"""
_maxes = self._maxes
if not _maxes:
return 0
pos = bisect_left(_maxes, value)
if pos == len(_maxes):
return self._len
idx = bisect_left(self._lists[pos], value)
return self._loc(pos, idx)
def bisect_right(self, value):
"""Return an index to insert `value` in the sorted list.
Similar to `bisect_left`, but if `value` is already present, the
insertion point will be after (to the right of) any existing values.
Similar to the `bisect` module in the standard library.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList([10, 11, 12, 13, 14])
>>> sl.bisect_right(12)
3
:param value: insertion index of value in sorted list
:return: index
"""
_maxes = self._maxes
if not _maxes:
return 0
pos = bisect_right(_maxes, value)
if pos == len(_maxes):
return self._len
idx = bisect_right(self._lists[pos], value)
return self._loc(pos, idx)
bisect = bisect_right
_bisect_right = bisect_right
def count(self, value):
"""Return number of occurrences of `value` in the sorted list.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList([1, 2, 2, 3, 3, 3, 4, 4, 4, 4])
>>> sl.count(3)
3
:param value: value to count in sorted list
:return: count
"""
_maxes = self._maxes
if not _maxes:
return 0
pos_left = bisect_left(_maxes, value)
if pos_left == len(_maxes):
return 0
_lists = self._lists
idx_left = bisect_left(_lists[pos_left], value)
pos_right = bisect_right(_maxes, value)
if pos_right == len(_maxes):
return self._len - self._loc(pos_left, idx_left)
idx_right = bisect_right(_lists[pos_right], value)
if pos_left == pos_right:
return idx_right - idx_left
right = self._loc(pos_right, idx_right)
left = self._loc(pos_left, idx_left)
return right - left
def copy(self):
"""Return a shallow copy of the sorted list.
Runtime complexity: `O(n)`
:return: new sorted list
"""
return self.__class__(self)
__copy__ = copy
def append(self, value):
"""Raise not-implemented error.
Implemented to override `MutableSequence.append` which provides an
erroneous default implementation.
:raises NotImplementedError: use ``sl.add(value)`` instead
"""
raise NotImplementedError('use ``sl.add(value)`` instead')
def extend(self, values):
"""Raise not-implemented error.
Implemented to override `MutableSequence.extend` which provides an
erroneous default implementation.
:raises NotImplementedError: use ``sl.update(values)`` instead
"""
raise NotImplementedError('use ``sl.update(values)`` instead')
def insert(self, index, value):
"""Raise not-implemented error.
:raises NotImplementedError: use ``sl.add(value)`` instead
"""
raise NotImplementedError('use ``sl.add(value)`` instead')
def pop(self, index=-1):
"""Remove and return value at `index` in sorted list.
Raise :exc:`IndexError` if the sorted list is empty or index is out of
range.
Negative indices are supported.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList('abcde')
>>> sl.pop()
'e'
>>> sl.pop(2)
'c'
>>> sl
SortedList(['a', 'b', 'd'])
:param int index: index of value (default -1)
:return: value
:raises IndexError: if index is out of range
"""
if not self._len:
raise IndexError('pop index out of range')
_lists = self._lists
if index == 0:
val = _lists[0][0]
self._delete(0, 0)
return val
if index == -1:
pos = len(_lists) - 1
loc = len(_lists[pos]) - 1
val = _lists[pos][loc]
self._delete(pos, loc)
return val
if 0 <= index < len(_lists[0]):
val = _lists[0][index]
self._delete(0, index)
return val
len_last = len(_lists[-1])
if -len_last < index < 0:
pos = len(_lists) - 1
loc = len_last + index
val = _lists[pos][loc]
self._delete(pos, loc)
return val
pos, idx = self._pos(index)
val = _lists[pos][idx]
self._delete(pos, idx)
return val
def index(self, value, start=None, stop=None):
"""Return first index of value in sorted list.
Raise ValueError if `value` is not present.
Index must be between `start` and `stop` for the `value` to be
considered present. The default value, None, for `start` and `stop`
indicate the beginning and end of the sorted list.
Negative indices are supported.
Runtime complexity: `O(log(n))` -- approximate.
>>> sl = SortedList('abcde')
>>> sl.index('d')
3
>>> sl.index('z')
Traceback (most recent call last):
...
ValueError: 'z' is not in list
:param value: value in sorted list
:param int start: start index (default None, start of sorted list)
:param int stop: stop index (default None, end of sorted list)
:return: index of value
:raises ValueError: if value is not present
"""
_len = self._len
if not _len:
raise ValueError('{0!r} is not in list'.format(value))
if start is None:
start = 0
if start < 0:
start += _len
if start < 0:
start = 0
if stop is None:
stop = _len
if stop < 0:
stop += _len
if stop > _len:
stop = _len
if stop <= start:
raise ValueError('{0!r} is not in list'.format(value))
_maxes = self._maxes
pos_left = bisect_left(_maxes, value)
if pos_left == len(_maxes):
raise ValueError('{0!r} is not in list'.format(value))
_lists = self._lists
idx_left = bisect_left(_lists[pos_left], value)
if _lists[pos_left][idx_left] != value:
raise ValueError('{0!r} is not in list'.format(value))
stop -= 1
left = self._loc(pos_left, idx_left)
if start <= left:
if left <= stop:
return left
else:
right = self._bisect_right(value) - 1
if start <= right:
return start
raise ValueError('{0!r} is not in list'.format(value))
def __add__(self, other):
"""Return new sorted list containing all values in both sequences.
``sl.__add__(other)`` <==> ``sl + other``
Values in `other` do not need to be in sorted order.
Runtime complexity: `O(n*log(n))`
>>> sl1 = SortedList('bat')
>>> sl2 = SortedList('cat')
>>> sl1 + sl2
SortedList(['a', 'a', 'b', 'c', 't', 't'])
:param other: other iterable
:return: new sorted list
"""
values = reduce(iadd, self._lists, [])
values.extend(other)
return self.__class__(values)
__radd__ = __add__
def __iadd__(self, other):
"""Update sorted list with values from `other`.
``sl.__iadd__(other)`` <==> ``sl += other``
Values in `other` do not need to be in sorted order.
Runtime complexity: `O(k*log(n))` -- approximate.
>>> sl = SortedList('bat')
>>> sl += 'cat'
>>> sl
SortedList(['a', 'a', 'b', 'c', 't', 't'])
:param other: other iterable
:return: existing sorted list
"""
self._update(other)
return self
def __mul__(self, num):
"""Return new sorted list with `num` shallow copies of values.
``sl.__mul__(num)`` <==> ``sl * num``
Runtime complexity: `O(n*log(n))`
>>> sl = SortedList('abc')
>>> sl * 3
SortedList(['a', 'a', 'a', 'b', 'b', 'b', 'c', 'c', 'c'])
:param int num: count of shallow copies
:return: new sorted list
"""
values = reduce(iadd, self._lists, []) * num
return self.__class__(values)
__rmul__ = __mul__
def __imul__(self, num):
"""Update the sorted list with `num` shallow copies of values.
``sl.__imul__(num)`` <==> ``sl *= num``
Runtime complexity: `O(n*log(n))`
>>> sl = SortedList('abc')
>>> sl *= 3
>>> sl
SortedList(['a', 'a', 'a', 'b', 'b', 'b', 'c', 'c', 'c'])
:param int num: count of shallow copies
:return: existing sorted list
"""
values = reduce(iadd, self._lists, []) * num
self._clear()
self._update(values)
return self
def __make_cmp(seq_op, symbol, doc):
"Make comparator method."
def comparer(self, other):
"Compare method for sorted list and sequence."
if not isinstance(other, Sequence):
return NotImplemented
self_len = self._len
len_other = len(other)
if self_len != len_other:
if seq_op is eq:
return False
if seq_op is ne:
return True
for alpha, beta in zip(self, other):
if alpha != beta:
return seq_op(alpha, beta)
return seq_op(self_len, len_other)
seq_op_name = seq_op.__name__
comparer.__name__ = '__{0}__'.format(seq_op_name)
doc_str = """Return true if and only if sorted list is {0} `other`.
``sl.__{1}__(other)`` <==> ``sl {2} other``
Comparisons use lexicographical order as with sequences.
Runtime complexity: `O(n)`
:param other: `other` sequence
:return: true if sorted list is {0} `other`
"""
comparer.__doc__ = dedent(doc_str.format(doc, seq_op_name, symbol))
return comparer
__eq__ = __make_cmp(eq, '==', 'equal to')
__ne__ = __make_cmp(ne, '!=', 'not equal to')
__lt__ = __make_cmp(lt, '<', 'less than')
__gt__ = __make_cmp(gt, '>', 'greater than')
__le__ = __make_cmp(le, '<=', 'less than or equal to')
__ge__ = __make_cmp(ge, '>=', 'greater than or equal to')
__make_cmp = staticmethod(__make_cmp)
def __reduce__(self):
values = reduce(iadd, self._lists, [])
return (type(self), (values,))
@recursive_repr()
def __repr__(self):
"""Return string representation of sorted list.
``sl.__repr__()`` <==> ``repr(sl)``
:return: string representation
"""
return '{0}({1!r})'.format(type(self).__name__, list(self))
def _check(self):
"""Check invariants of sorted list.
Runtime complexity: `O(n)`
"""
try:
assert self._load >= 4
assert len(self._maxes) == len(self._lists)
assert self._len == sum(len(sublist) for sublist in self._lists)
# Check all sublists are sorted.
for sublist in self._lists:
for pos in range(1, len(sublist)):
assert sublist[pos - 1] <= sublist[pos]
# Check beginning/end of sublists are sorted.
for pos in range(1, len(self._lists)):
assert self._lists[pos - 1][-1] <= self._lists[pos][0]
# Check _maxes index is the last value of each sublist.
for pos in range(len(self._maxes)):
assert self._maxes[pos] == self._lists[pos][-1]
# Check sublist lengths are less than double load-factor.
double = self._load << 1
assert all(len(sublist) <= double for sublist in self._lists)
# Check sublist lengths are greater than half load-factor for all
# but the last sublist.
half = self._load >> 1
for pos in range(0, len(self._lists) - 1):
assert len(self._lists[pos]) >= half
if self._index:
assert self._len == self._index[0]
assert len(self._index) == self._offset + len(self._lists)
# Check index leaf nodes equal length of sublists.
for pos in range(len(self._lists)):
leaf = self._index[self._offset + pos]
assert leaf == len(self._lists[pos])
# Check index branch nodes are the sum of their children.
for pos in range(self._offset):
child = (pos << 1) + 1
if child >= len(self._index):
assert self._index[pos] == 0
elif child + 1 == len(self._index):
assert self._index[pos] == self._index[child]
else:
child_sum = self._index[child] + self._index[child + 1]
assert child_sum == self._index[pos]
except:
traceback.print_exc(file=sys.stdout)
print('len', self._len)
print('load', self._load)
print('offset', self._offset)
print('len_index', len(self._index))
print('index', self._index)
print('len_maxes', len(self._maxes))
print('maxes', self._maxes)
print('len_lists', len(self._lists))
print('lists', self._lists)
raise
def identity(value):
"Identity function."
return value
class SortedKeyList(SortedList):
"""Sorted-key list is a subtype of sorted list.
The sorted-key list maintains values in comparison order based on the
result of a key function applied to every value.
All the same algorithm that are available in :class:`SortedList` are also
available in :class:`SortedKeyList`.
Additional algorithm provided:
* :attr:`SortedKeyList.key`
* :func:`SortedKeyList.bisect_key_left`
* :func:`SortedKeyList.bisect_key_right`
* :func:`SortedKeyList.irange_key`
Some examples below use:
>>> from operator import neg
>>> neg
<built-in function neg>
>>> neg(1)
-1
"""
def __init__(self, iterable=None, key=identity):
"""Initialize sorted-key list instance.
Optional `iterable` argument provides an initial iterable of values to
initialize the sorted-key list.
Optional `key` argument defines a callable that, like the `key`
argument to Python's `sorted` function, extracts a comparison key from
each value. The default is the identity function.
Runtime complexity: `O(n*log(n))`
>>> from operator import neg
>>> skl = SortedKeyList(key=neg)
>>> skl
SortedKeyList([], key=<built-in function neg>)
>>> skl = SortedKeyList([3, 1, 2], key=neg)
>>> skl
SortedKeyList([3, 2, 1], key=<built-in function neg>)
:param iterable: initial values (optional)
:param key: function used to extract comparison key (optional)
"""
self._key = key
self._len = 0
self._load = self.DEFAULT_LOAD_FACTOR
self._lists = []
self._keys = []
self._maxes = []
self._index = []
self._offset = 0
if iterable is not None:
self._update(iterable)
def __new__(cls, iterable=None, key=identity):
return object.__new__(cls)
@property
def key(self):
"Function used to extract comparison key from values."
return self._key
def clear(self):
"""Remove all values from sorted-key list.
Runtime complexity: `O(n)`
"""
self._len = 0
del self._lists[:]
del self._keys[:]
del self._maxes[:]
del self._index[:]
_clear = clear
def add(self, value):
"""Add `value` to sorted-key list.
Runtime complexity: `O(log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedKeyList(key=neg)
>>> skl.add(3)
>>> skl.add(1)
>>> skl.add(2)
>>> skl
SortedKeyList([3, 2, 1], key=<built-in function neg>)
:param value: value to add to sorted-key list
"""
_lists = self._lists
_keys = self._keys
_maxes = self._maxes
key = self._key(value)
if _maxes:
pos = bisect_right(_maxes, key)
if pos == len(_maxes):
pos -= 1
_lists[pos].append(value)
_keys[pos].append(key)
_maxes[pos] = key
else:
idx = bisect_right(_keys[pos], key)
_lists[pos].insert(idx, value)
_keys[pos].insert(idx, key)
self._expand(pos)
else:
_lists.append([value])
_keys.append([key])
_maxes.append(key)
self._len += 1
def _expand(self, pos):
"""Split sublists with length greater than double the load-factor.
Updates the index when the sublist length is less than double the load
level. This requires incrementing the nodes in a traversal from the
leaf node to the root. For an example traversal see
``SortedList._loc``.
"""
_lists = self._lists
_keys = self._keys
_index = self._index
if len(_keys[pos]) > (self._load << 1):
_maxes = self._maxes
_load = self._load
_lists_pos = _lists[pos]
_keys_pos = _keys[pos]
half = _lists_pos[_load:]
half_keys = _keys_pos[_load:]
del _lists_pos[_load:]
del _keys_pos[_load:]
_maxes[pos] = _keys_pos[-1]
_lists.insert(pos + 1, half)
_keys.insert(pos + 1, half_keys)
_maxes.insert(pos + 1, half_keys[-1])
del _index[:]
else:
if _index:
child = self._offset + pos
while child:
_index[child] += 1
child = (child - 1) >> 1
_index[0] += 1
def update(self, iterable):
"""Update sorted-key list by adding all values from `iterable`.
Runtime complexity: `O(k*log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedKeyList(key=neg)
>>> skl.update([3, 1, 2])
>>> skl
SortedKeyList([3, 2, 1], key=<built-in function neg>)
:param iterable: iterable of values to add
"""
_lists = self._lists
_keys = self._keys
_maxes = self._maxes
values = sorted(iterable, key=self._key)
if _maxes:
if len(values) * 4 >= self._len:
_lists.append(values)
values = reduce(iadd, _lists, [])
values.sort(key=self._key)
self._clear()
else:
_add = self.add
for val in values:
_add(val)
return
_load = self._load
_lists.extend(values[pos:(pos + _load)]
for pos in range(0, len(values), _load))
_keys.extend(list(map(self._key, _list)) for _list in _lists)
_maxes.extend(sublist[-1] for sublist in _keys)
self._len = len(values)
del self._index[:]
_update = update
def __contains__(self, value):
"""Return true if `value` is an element of the sorted-key list.
``skl.__contains__(value)`` <==> ``value in skl``
Runtime complexity: `O(log(n))`
>>> from operator import neg
>>> skl = SortedKeyList([1, 2, 3, 4, 5], key=neg)
>>> 3 in skl
True
:param value: search for value in sorted-key list
:return: true if `value` in sorted-key list
"""
_maxes = self._maxes
if not _maxes:
return False
key = self._key(value)
pos = bisect_left(_maxes, key)
if pos == len(_maxes):
return False
_lists = self._lists
_keys = self._keys
idx = bisect_left(_keys[pos], key)
len_keys = len(_keys)
len_sublist = len(_keys[pos])
while True:
if _keys[pos][idx] != key:
return False
if _lists[pos][idx] == value:
return True
idx += 1
if idx == len_sublist:
pos += 1
if pos == len_keys:
return False
len_sublist = len(_keys[pos])
idx = 0
def discard(self, value):
"""Remove `value` from sorted-key list if it is a member.
If `value` is not a member, do nothing.
Runtime complexity: `O(log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedKeyList([5, 4, 3, 2, 1], key=neg)
>>> skl.discard(1)
>>> skl.discard(0)
>>> skl == [5, 4, 3, 2]
True
:param value: `value` to discard from sorted-key list
"""
_maxes = self._maxes
if not _maxes:
return
key = self._key(value)
pos = bisect_left(_maxes, key)
if pos == len(_maxes):
return
_lists = self._lists
_keys = self._keys
idx = bisect_left(_keys[pos], key)
len_keys = len(_keys)
len_sublist = len(_keys[pos])
while True:
if _keys[pos][idx] != key:
return
if _lists[pos][idx] == value:
self._delete(pos, idx)
return
idx += 1
if idx == len_sublist:
pos += 1
if pos == len_keys:
return
len_sublist = len(_keys[pos])
idx = 0
def remove(self, value):
"""Remove `value` from sorted-key list; `value` must be a member.
If `value` is not a member, raise ValueError.
Runtime complexity: `O(log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedKeyList([1, 2, 3, 4, 5], key=neg)
>>> skl.remove(5)
>>> skl == [4, 3, 2, 1]
True
>>> skl.remove(0)
Traceback (most recent call last):
...
ValueError: 0 not in list
:param value: `value` to remove from sorted-key list
:raises ValueError: if `value` is not in sorted-key list
"""
_maxes = self._maxes
if not _maxes:
raise ValueError('{0!r} not in list'.format(value))
key = self._key(value)
pos = bisect_left(_maxes, key)
if pos == len(_maxes):
raise ValueError('{0!r} not in list'.format(value))
_lists = self._lists
_keys = self._keys
idx = bisect_left(_keys[pos], key)
len_keys = len(_keys)
len_sublist = len(_keys[pos])
while True:
if _keys[pos][idx] != key:
raise ValueError('{0!r} not in list'.format(value))
if _lists[pos][idx] == value:
self._delete(pos, idx)
return
idx += 1
if idx == len_sublist:
pos += 1
if pos == len_keys:
raise ValueError('{0!r} not in list'.format(value))
len_sublist = len(_keys[pos])
idx = 0
def _delete(self, pos, idx):
"""Delete value at the given `(pos, idx)`.
Combines lists that are less than half the load level.
Updates the index when the sublist length is more than half the load
level. This requires decrementing the nodes in a traversal from the
leaf node to the root. For an example traversal see
``SortedList._loc``.
:param int pos: lists index
:param int idx: sublist index
"""
_lists = self._lists
_keys = self._keys
_maxes = self._maxes
_index = self._index
keys_pos = _keys[pos]
lists_pos = _lists[pos]
del keys_pos[idx]
del lists_pos[idx]
self._len -= 1
len_keys_pos = len(keys_pos)
if len_keys_pos > (self._load >> 1):
_maxes[pos] = keys_pos[-1]
if _index:
child = self._offset + pos
while child > 0:
_index[child] -= 1
child = (child - 1) >> 1
_index[0] -= 1
elif len(_keys) > 1:
if not pos:
pos += 1
prev = pos - 1
_keys[prev].extend(_keys[pos])
_lists[prev].extend(_lists[pos])
_maxes[prev] = _keys[prev][-1]
del _lists[pos]
del _keys[pos]
del _maxes[pos]
del _index[:]
self._expand(prev)
elif len_keys_pos:
_maxes[pos] = keys_pos[-1]
else:
del _lists[pos]
del _keys[pos]
del _maxes[pos]
del _index[:]
def irange(self, minimum=None, maximum=None, inclusive=(True, True),
reverse=False):
"""Create an iterator of values between `minimum` and `maximum`.
Both `minimum` and `maximum` default to `None` which is automatically
inclusive of the beginning and end of the sorted-key list.
The argument `inclusive` is a pair of booleans that indicates whether
the minimum and maximum ought to be included in the range,
respectively. The default is ``(True, True)`` such that the range is
inclusive of both minimum and maximum.
When `reverse` is `True` the values are yielded from the iterator in
reverse order; `reverse` defaults to `False`.
>>> from operator import neg
>>> skl = SortedKeyList([11, 12, 13, 14, 15], key=neg)
>>> it = skl.irange(14.5, 11.5)
>>> list(it)
[14, 13, 12]
:param minimum: minimum value to start iterating
:param maximum: maximum value to stop iterating
:param inclusive: pair of booleans
:param bool reverse: yield values in reverse order
:return: iterator
"""
min_key = self._key(minimum) if minimum is not None else None
max_key = self._key(maximum) if maximum is not None else None
return self._irange_key(
min_key=min_key, max_key=max_key,
inclusive=inclusive, reverse=reverse,
)
def irange_key(self, min_key=None, max_key=None, inclusive=(True, True),
reverse=False):
"""Create an iterator of values between `min_key` and `max_key`.
Both `min_key` and `max_key` default to `None` which is automatically
inclusive of the beginning and end of the sorted-key list.
The argument `inclusive` is a pair of booleans that indicates whether
the minimum and maximum ought to be included in the range,
respectively. The default is ``(True, True)`` such that the range is
inclusive of both minimum and maximum.
When `reverse` is `True` the values are yielded from the iterator in
reverse order; `reverse` defaults to `False`.
>>> from operator import neg
>>> skl = SortedKeyList([11, 12, 13, 14, 15], key=neg)
>>> it = skl.irange_key(-14, -12)
>>> list(it)
[14, 13, 12]
:param min_key: minimum key to start iterating
:param max_key: maximum key to stop iterating
:param inclusive: pair of booleans
:param bool reverse: yield values in reverse order
:return: iterator
"""
_maxes = self._maxes
if not _maxes:
return iter(())
_keys = self._keys
# Calculate the minimum (pos, idx) pair. By default this location
# will be inclusive in our calculation.
if min_key is None:
min_pos = 0
min_idx = 0
else:
if inclusive[0]:
min_pos = bisect_left(_maxes, min_key)
if min_pos == len(_maxes):
return iter(())
min_idx = bisect_left(_keys[min_pos], min_key)
else:
min_pos = bisect_right(_maxes, min_key)
if min_pos == len(_maxes):
return iter(())
min_idx = bisect_right(_keys[min_pos], min_key)
# Calculate the maximum (pos, idx) pair. By default this location
# will be exclusive in our calculation.
if max_key is None:
max_pos = len(_maxes) - 1
max_idx = len(_keys[max_pos])
else:
if inclusive[1]:
max_pos = bisect_right(_maxes, max_key)
if max_pos == len(_maxes):
max_pos -= 1
max_idx = len(_keys[max_pos])
else:
max_idx = bisect_right(_keys[max_pos], max_key)
else:
max_pos = bisect_left(_maxes, max_key)
if max_pos == len(_maxes):
max_pos -= 1
max_idx = len(_keys[max_pos])
else:
max_idx = bisect_left(_keys[max_pos], max_key)
return self._islice(min_pos, min_idx, max_pos, max_idx, reverse)
_irange_key = irange_key
def bisect_left(self, value):
"""Return an index to insert `value` in the sorted-key list.
If the `value` is already present, the insertion point will be before
(to the left of) any existing values.
Similar to the `bisect` module in the standard library.
Runtime complexity: `O(log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedKeyList([5, 4, 3, 2, 1], key=neg)
>>> skl.bisect_left(1)
4
:param value: insertion index of value in sorted-key list
:return: index
"""
return self._bisect_key_left(self._key(value))
def bisect_right(self, value):
"""Return an index to insert `value` in the sorted-key list.
Similar to `bisect_left`, but if `value` is already present, the
insertion point will be after (to the right of) any existing values.
Similar to the `bisect` module in the standard library.
Runtime complexity: `O(log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedList([5, 4, 3, 2, 1], key=neg)
>>> skl.bisect_right(1)
5
:param value: insertion index of value in sorted-key list
:return: index
"""
return self._bisect_key_right(self._key(value))
bisect = bisect_right
def bisect_key_left(self, key):
"""Return an index to insert `key` in the sorted-key list.
If the `key` is already present, the insertion point will be before (to
the left of) any existing keys.
Similar to the `bisect` module in the standard library.
Runtime complexity: `O(log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedKeyList([5, 4, 3, 2, 1], key=neg)
>>> skl.bisect_key_left(-1)
4
:param key: insertion index of key in sorted-key list
:return: index
"""
_maxes = self._maxes
if not _maxes:
return 0
pos = bisect_left(_maxes, key)
if pos == len(_maxes):
return self._len
idx = bisect_left(self._keys[pos], key)
return self._loc(pos, idx)
_bisect_key_left = bisect_key_left
def bisect_key_right(self, key):
"""Return an index to insert `key` in the sorted-key list.
Similar to `bisect_key_left`, but if `key` is already present, the
insertion point will be after (to the right of) any existing keys.
Similar to the `bisect` module in the standard library.
Runtime complexity: `O(log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedList([5, 4, 3, 2, 1], key=neg)
>>> skl.bisect_key_right(-1)
5
:param key: insertion index of key in sorted-key list
:return: index
"""
_maxes = self._maxes
if not _maxes:
return 0
pos = bisect_right(_maxes, key)
if pos == len(_maxes):
return self._len
idx = bisect_right(self._keys[pos], key)
return self._loc(pos, idx)
bisect_key = bisect_key_right
_bisect_key_right = bisect_key_right
def count(self, value):
"""Return number of occurrences of `value` in the sorted-key list.
Runtime complexity: `O(log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedKeyList([4, 4, 4, 4, 3, 3, 3, 2, 2, 1], key=neg)
>>> skl.count(2)
2
:param value: value to count in sorted-key list
:return: count
"""
_maxes = self._maxes
if not _maxes:
return 0
key = self._key(value)
pos = bisect_left(_maxes, key)
if pos == len(_maxes):
return 0
_lists = self._lists
_keys = self._keys
idx = bisect_left(_keys[pos], key)
total = 0
len_keys = len(_keys)
len_sublist = len(_keys[pos])
while True:
if _keys[pos][idx] != key:
return total
if _lists[pos][idx] == value:
total += 1
idx += 1
if idx == len_sublist:
pos += 1
if pos == len_keys:
return total
len_sublist = len(_keys[pos])
idx = 0
def copy(self):
"""Return a shallow copy of the sorted-key list.
Runtime complexity: `O(n)`
:return: new sorted-key list
"""
return self.__class__(self, key=self._key)
__copy__ = copy
def index(self, value, start=None, stop=None):
"""Return first index of value in sorted-key list.
Raise ValueError if `value` is not present.
Index must be between `start` and `stop` for the `value` to be
considered present. The default value, None, for `start` and `stop`
indicate the beginning and end of the sorted-key list.
Negative indices are supported.
Runtime complexity: `O(log(n))` -- approximate.
>>> from operator import neg
>>> skl = SortedKeyList([5, 4, 3, 2, 1], key=neg)
>>> skl.index(2)
3
>>> skl.index(0)
Traceback (most recent call last):
...
ValueError: 0 is not in list
:param value: value in sorted-key list
:param int start: start index (default None, start of sorted-key list)
:param int stop: stop index (default None, end of sorted-key list)
:return: index of value
:raises ValueError: if value is not present
"""
_len = self._len
if not _len:
raise ValueError('{0!r} is not in list'.format(value))
if start is None:
start = 0
if start < 0:
start += _len
if start < 0:
start = 0
if stop is None:
stop = _len
if stop < 0:
stop += _len
if stop > _len:
stop = _len
if stop <= start:
raise ValueError('{0!r} is not in list'.format(value))
_maxes = self._maxes
key = self._key(value)
pos = bisect_left(_maxes, key)
if pos == len(_maxes):
raise ValueError('{0!r} is not in list'.format(value))
stop -= 1
_lists = self._lists
_keys = self._keys
idx = bisect_left(_keys[pos], key)
len_keys = len(_keys)
len_sublist = len(_keys[pos])
while True:
if _keys[pos][idx] != key:
raise ValueError('{0!r} is not in list'.format(value))
if _lists[pos][idx] == value:
loc = self._loc(pos, idx)
if start <= loc <= stop:
return loc
elif loc > stop:
break
idx += 1
if idx == len_sublist:
pos += 1
if pos == len_keys:
raise ValueError('{0!r} is not in list'.format(value))
len_sublist = len(_keys[pos])
idx = 0
raise ValueError('{0!r} is not in list'.format(value))
def __add__(self, other):
"""Return new sorted-key list containing all values in both sequences.
``skl.__add__(other)`` <==> ``skl + other``
Values in `other` do not need to be in sorted-key order.
Runtime complexity: `O(n*log(n))`
>>> from operator import neg
>>> skl1 = SortedKeyList([5, 4, 3], key=neg)
>>> skl2 = SortedKeyList([2, 1, 0], key=neg)
>>> skl1 + skl2
SortedKeyList([5, 4, 3, 2, 1, 0], key=<built-in function neg>)
:param other: other iterable
:return: new sorted-key list
"""
values = reduce(iadd, self._lists, [])
values.extend(other)
return self.__class__(values, key=self._key)
__radd__ = __add__
def __mul__(self, num):
"""Return new sorted-key list with `num` shallow copies of values.
``skl.__mul__(num)`` <==> ``skl * num``
Runtime complexity: `O(n*log(n))`
>>> from operator import neg
>>> skl = SortedKeyList([3, 2, 1], key=neg)
>>> skl * 2
SortedKeyList([3, 3, 2, 2, 1, 1], key=<built-in function neg>)
:param int num: count of shallow copies
:return: new sorted-key list
"""
values = reduce(iadd, self._lists, []) * num
return self.__class__(values, key=self._key)
def __reduce__(self):
values = reduce(iadd, self._lists, [])
return (type(self), (values, self.key))
@recursive_repr()
def __repr__(self):
"""Return string representation of sorted-key list.
``skl.__repr__()`` <==> ``repr(skl)``
:return: string representation
"""
type_name = type(self).__name__
return '{0}({1!r}, key={2!r})'.format(type_name, list(self), self._key)
def _check(self):
"""Check invariants of sorted-key list.
Runtime complexity: `O(n)`
"""
try:
assert self._load >= 4
assert len(self._maxes) == len(self._lists) == len(self._keys)
assert self._len == sum(len(sublist) for sublist in self._lists)
# Check all sublists are sorted.
for sublist in self._keys:
for pos in range(1, len(sublist)):
assert sublist[pos - 1] <= sublist[pos]
# Check beginning/end of sublists are sorted.
for pos in range(1, len(self._keys)):
assert self._keys[pos - 1][-1] <= self._keys[pos][0]
# Check _keys matches _key mapped to _lists.
for val_sublist, key_sublist in zip(self._lists, self._keys):
assert len(val_sublist) == len(key_sublist)
for val, key in zip(val_sublist, key_sublist):
assert self._key(val) == key
# Check _maxes index is the last value of each sublist.
for pos in range(len(self._maxes)):
assert self._maxes[pos] == self._keys[pos][-1]
# Check sublist lengths are less than double load-factor.
double = self._load << 1
assert all(len(sublist) <= double for sublist in self._lists)
# Check sublist lengths are greater than half load-factor for all
# but the last sublist.
half = self._load >> 1
for pos in range(0, len(self._lists) - 1):
assert len(self._lists[pos]) >= half
if self._index:
assert self._len == self._index[0]
assert len(self._index) == self._offset + len(self._lists)
# Check index leaf nodes equal length of sublists.
for pos in range(len(self._lists)):
leaf = self._index[self._offset + pos]
assert leaf == len(self._lists[pos])
# Check index branch nodes are the sum of their children.
for pos in range(self._offset):
child = (pos << 1) + 1
if child >= len(self._index):
assert self._index[pos] == 0
elif child + 1 == len(self._index):
assert self._index[pos] == self._index[child]
else:
child_sum = self._index[child] + self._index[child + 1]
assert child_sum == self._index[pos]
except:
traceback.print_exc(file=sys.stdout)
print('len', self._len)
print('load', self._load)
print('offset', self._offset)
print('len_index', len(self._index))
print('index', self._index)
print('len_maxes', len(self._maxes))
print('maxes', self._maxes)
print('len_keys', len(self._keys))
print('keys', self._keys)
print('len_lists', len(self._lists))
print('lists', self._lists)
raise
SortedListWithKey = SortedKeyList
|
[
"1016864609@qq.com"
] |
1016864609@qq.com
|
787c56c76cfc61bc3e23eb78aa673a5d422b1b23
|
049c29351641e7245a6dc1fc44a684c0fd17ebf7
|
/snn/librispeech/train.py
|
d1e3b4c9d54298cd6108e52a7092871f64251078
|
[
"MIT"
] |
permissive
|
vjoki/fsl-experi
|
c093d13efd27ea22a1e990e0c073df6bd30135e6
|
a5d81afbc69dfec0c01f545168c966fd03a037f1
|
refs/heads/master
| 2023-07-11T02:00:25.772149
| 2021-08-05T11:06:52
| 2021-08-05T11:06:52
| 304,908,552
| 4
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 5,204
|
py
|
import argparse
from typing import List
import pytorch_lightning as pl
from snn.librispeech.model import BaseNet, SNN, SNNCapsNet, SNNAngularProto, SNNSoftmaxProto
from snn.librispeech.datamodule import LibriSpeechDataModule
from pytorch_lightning.loggers import TensorBoardLogger
from pytorch_lightning.callbacks import ModelCheckpoint, LearningRateMonitor
from pytorch_lightning.callbacks.early_stopping import EarlyStopping
def train_and_test(args: argparse.Namespace):
dict_args = vars(args)
seed = args.rng_seed
log_dir = args.log_dir
early_stop = args.early_stop
early_stop_min_delta = args.early_stop_min_delta
early_stop_patience = args.early_stop_patience
checkpoint_dir = args.checkpoint_dir
pl.seed_everything(seed)
callbacks: List[pl.callbacks.Callback] = [
LearningRateMonitor(logging_interval='step')
]
if early_stop:
# Should give enough time for lr_scheduler to try do it's thing.
callbacks.append(EarlyStopping(
monitor='val_loss', mode='min',
min_delta=early_stop_min_delta, patience=early_stop_patience,
verbose=True, strict=True
))
checkpoint_callback = ModelCheckpoint(
monitor='val_loss' if args.fast_dev_run else 'val_eer', mode='min',
filepath=checkpoint_dir + args.model + '-{epoch}-{val_loss:.2f}-{val_eer:.2f}',
save_top_k=3
)
logger = TensorBoardLogger(log_dir, name=args.model, log_graph=True, default_hp_metric=False)
trainer = pl.Trainer.from_argparse_args(args, logger=logger, progress_bar_refresh_rate=20,
deterministic=True,
auto_lr_find=False, # Do this manually.
checkpoint_callback=checkpoint_callback,
callbacks=callbacks)
model: BaseNet
if args.model == 'snn':
model = SNN(**dict_args)
datamodule = LibriSpeechDataModule(train_set_type='pair', **dict_args)
elif args.model == 'snn-capsnet':
model = SNNCapsNet(**dict_args)
datamodule = LibriSpeechDataModule(train_set_type='pair', **dict_args)
elif args.model == 'snn-angularproto':
model = SNNAngularProto(**dict_args)
datamodule = LibriSpeechDataModule(train_set_type='nshotkway', **dict_args)
elif args.model == 'snn-softmaxproto':
model = SNNSoftmaxProto(**dict_args)
datamodule = LibriSpeechDataModule(train_set_type='nshotkway', **dict_args)
# Tune.
trainer.tune(model, datamodule=datamodule)
# Prefer provided LR over lr_finder.
new_lr: float
if args.learning_rate:
new_lr = args.learning_rate
elif args.fast_dev_run:
new_lr = 1e-3
else:
lr_finder = trainer.tuner.lr_find(model)
new_lr = lr_finder.suggestion()
# Could also try max(lr_finder.results['lr'])
max_lr = new_lr * (args.max_lr_multiplier or 3)
model.hparams.max_learning_rate = max_lr # type: ignore
model.hparams.learning_rate = new_lr # type: ignore
print('Learning rate set to {}.'.format(new_lr))
logger.log_hyperparams(params=model.hparams)
# Train model.
trainer.fit(model, datamodule=datamodule)
print('Best model saved to: ', checkpoint_callback.best_model_path)
trainer.save_checkpoint(checkpoint_dir + args.model + '-last.ckpt')
# Test using best checkpoint.
trainer.test(datamodule=datamodule)
def train():
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
general = parser.add_argument_group('General')
general.add_argument('--model', type=str.lower, default='snn',
choices=['snn', 'snn-capsnet', 'snn-angularproto', 'snn-softmaxproto'],
help='Choose the model to train.')
general.add_argument('--learning_rate', type=float, help='Override initial learning rate.')
general.add_argument('--max_lr_multiplier', type=float,
help='A multiplier that is applied on learning rate, the result of which is then provided to '
'OneCycleLR scheduler as the maximum learning rate.')
general.add_argument('--early_stop', action='store_true', default=False, help='Enable early stopping')
general.add_argument('--early_stop_min_delta', type=float, default=1e-8,
help='Minimum change in val_loss quantity to qualify as an improvement')
general.add_argument('--early_stop_patience', type=int, default=15,
help='# of validation epochs with no improvement after which training will be stopped')
general.add_argument('--log_dir', type=str, default='./lightning_logs/', help='Tensorboard log directory')
general.add_argument('--checkpoint_dir', type=str, default='./checkpoints/', help='Model checkpoint directory.')
parser = BaseNet.add_model_specific_args(parser)
parser = LibriSpeechDataModule.add_dataset_specific_args(parser)
parser = pl.Trainer.add_argparse_args(parser)
args = parser.parse_args()
train_and_test(args)
if __name__ == "__main__":
train()
|
[
"vjoki@zv.fi"
] |
vjoki@zv.fi
|
164cfc3e9cab75e960c7b44fb9e765b75b4c75cc
|
ac061dfce3fe48024e5e32922f3903194a8fe8b7
|
/conkat.py
|
b4e91aa34fbf910c696c6f62e7fa01546e60c19a
|
[
"MIT"
] |
permissive
|
elbow-jason/jasons-dot-files
|
e486c771836a2428e4054251dd8be4ab7a27927c
|
081300ed391e6c59b93e3696ab8219d94e10b768
|
refs/heads/master
| 2020-06-02T22:21:11.995806
| 2014-05-17T09:47:17
| 2014-05-17T09:47:17
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 222
|
py
|
#!/usr/bin/python
#open it
f = open('jasons-commands.sh')
contents = f.read()
f.close()
#remove all the newlines
new_contents = contents.replace('\n', '')
f = open('doit.sh', 'w')
#save it
f.write(new_contents)
f.close()
|
[
"jlgoldb2@asu.edu"
] |
jlgoldb2@asu.edu
|
6c17096b29d16a058c5371b3d125c37bca2ba7b6
|
8104f04c4a31232962f82c9f237f87f7be3909b0
|
/project-2/features.py
|
64b12a70f91d58619e902c5671dc06623fe87b62
|
[] |
no_license
|
AndrewZhou924/Digital-Image-Processing-Course-Design
|
6624d4c819a0f980ddda103577de0677f134b38c
|
f3a4a29fd7c4dda25d249c2c36fd43efda2d8460
|
refs/heads/master
| 2021-07-07T00:49:24.584572
| 2020-03-31T07:35:37
| 2020-03-31T07:35:37
| 241,303,727
| 0
| 1
| null | 2021-06-08T21:07:18
| 2020-02-18T07:57:59
|
Jupyter Notebook
|
UTF-8
|
Python
| false
| false
| 3,066
|
py
|
import matplotlib
import numpy as np
from scipy.ndimage import uniform_filter
def extract_features(imgs, feature_fns, verbose = False):
num_images = imgs.shape[0]
if num_images == 0:
return np.array([])
feature_dims = []
first_image_features = []
for feature_fn in feature_fns:
feats = feature_fn(imgs[0].squeeze())
assert len(feats.shape) == 1,'Feature functions must be one-dimensional'
feature_dims.append(feats.size)
first_image_features.append(feats)
total_feature_dim = sum(feature_dims)
imgs_features = np.zeors((num_images, total_feature_dim))
imgs_features[0] = np.hstack(first_image_features).T
for i in range(1, num_images):
idx = 0
for feature_fn, feature_dim in zip(feature_fns, feature_dims):
next_idx = idx + feature_dim
imgs_features[i, idx:next_idx] = feature_fn(imgs[i].squeeze())
idx = next_idx
if verbose and i % 1000 == 0:
print('Done extracting features for %d / $d images' % (i, num_images))
return imgs_features
def rgb2gray(rgb):
return np.dot(rgb[...,:3],[0.299,0.587,0.144])
def hog_feature(im):
#extract hog feature
if im.ndim == 3:
image = rgb2gray(im)
else:
image = np.at_least_2d(im)
sx, sy = image.shape # image size
orientations = 9 # number of gradient bins
cx, cy = (8, 8) # pixels per cell
gx = np.zeros(image.shape)
gy = np.zeros(image.shape)
gx[:, :-1] = np.diff(image, n=1, axis=1) # compute gradient on x-direction
gy[:-1, :] = np.diff(image, n=1, axis=0) # compute gradient on y-direction
grad_mag = np.sqrt(gx ** 2 + gy ** 2) # gradient magnitude
grad_ori = np.arctan2(gy, (gx + 1e-15)) * (180 / np.pi) + 90 # gradient orientation
n_cellsx = int(np.floor(sx / cx)) # number of cells in x
n_cellsy = int(np.floor(sy / cy)) # number of cells in y
# compute orientations integral images
orientation_histogram = np.zeros((n_cellsx, n_cellsy, orientations))
for i in range(orientations):
# create new integral image for this orientation
# isolate orientations in this range
temp_ori = np.where(grad_ori < 180 / orientations * (i + 1),
grad_ori, 0)
temp_ori = np.where(grad_ori >= 180 / orientations * i,
temp_ori, 0)
# select magnitudes for those orientations
cond2 = temp_ori > 0
temp_mag = np.where(cond2, grad_mag, 0)
orientation_histogram[:, :, i] = uniform_filter(temp_mag, size=(cx, cy))[cx / 2::cx, cy / 2::cy].T
return orientation_histogram.ravel()
def color_histogram_hsv(im, nbin = 10, xmin = 0, xmax = 255, normalized = True):
ndim = im.ndim
bins = np.linspace(xmin, xmax, nbin + 1)
hsv = matplotlib.colors.rgb_to_hsv(im / xmax) * xmax
imhist, bin_edges = np.histogram(hsv[:, :, 0], bins=bins, density=normalized)
imhist = imhist * np.diff(bin_edges)
# return histogram
return imhist
|
[
"1525927685.com"
] |
1525927685.com
|
f338224e98044fd787e9b9ba9f75cc88a538b2a7
|
ce2e72a45446699917a306654a7f826c054858a2
|
/product/wsgi.py
|
f2f3ceda560156bf841308b2bcf65bc1cc9f47f4
|
[] |
no_license
|
camiry/Placetoplay-Student_Project
|
de574460cac6fd807175cd7f7ab21bf1798eb78f
|
d4baeb0e35b102f8b2d49fb3fdb7fca2f215aeb8
|
refs/heads/master
| 2020-06-04T17:07:20.763927
| 2014-01-10T22:02:45
| 2014-01-10T22:02:45
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 389
|
py
|
"""
WSGI config for product project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.6/howto/deployment/wsgi/
"""
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "product.settings")
from django.core.wsgi import get_wsgi_application
application = get_wsgi_application()
|
[
"camiry@gmail.com"
] |
camiry@gmail.com
|
1a5f00bb85d54e7ab67df6c7d63c7592678538cc
|
a35b24c8c3c5bdf861f3cda9396f2fa6795ec929
|
/abc/089/A.py
|
c27ff2005302ee85fa121359bd47bb1ff3c4fde2
|
[] |
no_license
|
Msksgm/atcoder_msksgm_practice
|
92a19e2d6c034d95e1cfaf963aff5739edb4ab6e
|
3ae2dcb7d235a480cdfdfcd6a079e183936979b4
|
refs/heads/master
| 2021-08-18T16:08:08.551718
| 2020-09-24T07:01:11
| 2020-09-24T07:01:11
| 224,743,360
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 105
|
py
|
def main():
n = int(input())
ans = n // 3
print(ans)
if __name__ == "__main__":
main()
|
[
"4419517@ed.tus.ac.jp"
] |
4419517@ed.tus.ac.jp
|
df3d637d65bb4848b78f737e4333bed429154921
|
f07e583dd0b146af05a690e95c4f56231ccee9fc
|
/lab1_template/onlinecourse/views.py
|
2db3f6f83325b5e83e2c3066127b9c9484e77698
|
[] |
no_license
|
andymaintain/complete-django-app-practise-on-ibmcloud
|
d5e58fdaf6a0df4386991a34f12f89b6eb9c9717
|
490908cfa7d5ee83d177d42c401ff37b511e05ed
|
refs/heads/main
| 2023-08-19T02:20:36.861072
| 2021-10-01T20:26:08
| 2021-10-01T20:26:08
| 412,608,348
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,422
|
py
|
from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import get_object_or_404, render, redirect
from .models import Course, Lesson, Enrollment
from django.urls import reverse
from django.views import generic, View
from django.http import Http404
# Create your class based views here.
# Function based views
# Function-based course list view
# def popular_course_list(request):
# context = {}
# if request.method == 'GET':
# course_list = Course.objects.order_by('-total_enrollment')[:10]
# context['course_list'] = course_list
# return render(request, 'onlinecourse/course_list_no_css.html', context)
# Function-based course_details view
# def course_details(request, course_id):
# context = {}
# if request.method == 'GET':
# try:
# course = Course.objects.get(pk=course_id)
# context['course'] = course
# return render(request, 'onlinecourse/course_detail.html', context)
# except Course.DoesNotExist:
# raise Http404("No course matches the given id.")
# Function-based enroll view
# def enroll(request, course_id):
# if request.method == 'POST':
# course = get_object_or_404(Course, pk=course_id)
# # Create an enrollment
# course.total_enrollment += 1
# course.save()
# return HttpResponseRedirect(reverse(viewname='onlinecourse:course_details', args=(course.id,)))
# Note that we are subclassing CourseListView from base View class
#class CourseListView(View):
#
# # Handles get request
# def get(self, request):
# context = {}
# course_list = Course.objects.order_by('-total_enrollment')[:10]
# context['course_list'] = course_list
# return render(request, 'onlinecourse/course_list.html', context)
class EnrollView(View):
# Handles post request
def post(self, request, *args, **kwargs):
course_id = kwargs.get('pk')
course = get_object_or_404(Course, pk=course_id)
# Increase total enrollment by 1
course.total_enrollment += 1
course.save()
return HttpResponseRedirect(reverse(viewname='onlinecourse:course_details', args=(course.id,)))
#class CourseDetailsView(View):
#
# # Handles get request
# def get(self, request, *args, **kwargs):
# context = {}
# # We get URL parameter pk from keyword argument list as course_id
# course_id = kwargs.get('pk')
# try:
# course = Course.objects.get(pk=course_id)
# context['course'] = course
# return render(request, 'onlinecourse/course_detail.html', context)
# except Course.DoesNotExist:
# raise Http404("No course matches the given id.")
# Note that CourseListView is subclassing from generic.ListView instead of View
# so that it can use attributes and override methods from ListView such as get_queryset()
class CourseListView(generic.ListView):
template_name = 'onlinecourse/course_list.html'
context_object_name = 'course_list'
# Override get_queryset() to provide list of objects
def get_queryset(self):
courses = Course.objects.order_by('-total_enrollment')[:10]
return courses
# Note that CourseDetailsView is now subclassing DetailView
class CourseDetailsView(generic.DetailView):
model = Course
template_name = 'onlinecourse/course_detail.html'
|
[
"andymaintain1@gmail.com"
] |
andymaintain1@gmail.com
|
3da14aecafcfc02e03e388bca809f4404cf34489
|
f090c3e0faa70cf0ef7c4be99cb894630bce2842
|
/scripts/dataAnalysis/collectionEfficiency/2012April27/dataProcessor.py
|
4f1d8b7a99d28231422bab5a365e427e4a5c3195
|
[] |
no_license
|
HaeffnerLab/resonator
|
157d1dc455209da9b7de077157bda53b4883c8b7
|
7c2e377fdc45f6c1ad205f8bbc2e6607eb3fdc71
|
refs/heads/master
| 2021-01-09T20:48:03.587634
| 2016-09-22T18:40:17
| 2016-09-22T18:40:17
| 6,715,345
| 2
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,749
|
py
|
import numpy as np
import labrad
import matplotlib
from matplotlib import pyplot
class dataProcessor():
binTime = 40.0*10**-9 #fpga resolution
dopplerBinTime = 1.0*10**-3
def __init__(self, params):
self.repumpD = float(params['repumpD'])
self.repumpDelay = float(params['repumpDelay'])
self.exciteP = float(params['exciteP'])
self.finalDelay = float(params['finalDelay'])
self.dopplerCooling = float(params['dopplerCooling'])
self.iterDelay = float(params['iterDelay'])
self.iterationsCycle = int(params['iterationsCycle'])
self.cycleTime = self.repumpD + self.repumpDelay + self.exciteP + self.finalDelay
binNumber = int(self.cycleTime / self.binTime)
self.bins = self.binTime * np.arange(binNumber + 1)
self.binned = np.zeros(binNumber)
dopplerBinNumber = int(self.dopplerCooling / self.dopplerBinTime)
self.dopplerBins = self.dopplerBinTime * np.arange(dopplerBinNumber + 1)
self.dopplerBinned = np.zeros(dopplerBinNumber)
def addTimetags(self, timetags):
sliced = self.sliceArr(timetags, start = self.dopplerCooling + self.iterDelay, duration = self.cycleTime, cyclenumber = self.iterationsCycle, cycleduration = self.cycleTime)
self.binned += np.histogram(sliced, self.bins)[0] / float(self.iterationsCycle)
doppler = self.sliceArr(timetags, start = 0, duration = self.dopplerCooling + self.iterDelay)
self.dopplerBinned += np.histogram(doppler, self.dopplerBins)[0]
def normalize(self, repeatitions):
self.binned = self.binned / self.binTime
self.binned = self.binned / float(repeatitions)
self.dopplerBinned = self.dopplerBinned / float(repeatitions)
self.dopplerBinned = self.dopplerBinned / self.dopplerBinTime
def save(self, dataset):
np.savez('{}binning'.format(dataset), binned = self.binned, bins = self.bins, dopplerBins = self.dopplerBins, dopplerBinned = self.dopplerBinned)
def load(self, dataset):
pass
# fileName = '2012Apr24_1625_39binning.npz'
# f = np.load(fileName)
# binned = f['binned']
# bins = f['bins']
# dopplerBins = f['dopplerBins']
# dopplerBinned = f['dopplerBinned']
# makePlot(dopplerBins, dopplerBinned, bins, binned)
def makePlot(self):
pyplot.figure()
ax = pyplot.subplot(121)
pyplot.plot(self.dopplerBins[0:-1],self.dopplerBinned)
pyplot.title('Doppler Cooling')
pyplot.xlabel('Sec')
pyplot.ylabel('Counts/Sec')
pyplot.subplot(122, sharey = ax)
pyplot.title('Experimental Cycle')
pyplot.plot(self.bins[0:-1],self.binned)
ax = pyplot.gca()
ax.ticklabel_format(style = 'sci', scilimits = (0,0), axis = 'x')
pyplot.xlabel('Sec')
pyplot.ylabel('Counts/Sec')
pyplot.show()
def sliceArr(self, arr, start, duration, cyclenumber = 1, cycleduration = 0 ):
'''Takes a np array arr, and returns a new array that consists of all elements between start and start + duration modulo the start time
If cyclenumber and cycleduration are provided, the array will consist of additional slices taken between start and
start + duration each offset by a cycleduration. The additional elements will added modulo the start time of their respective cycle'''
starts = [start + i*cycleduration for i in range(cyclenumber)]
criterion = reduce(np.logical_or, [(start <= arr) & (arr <= start + duration) for start in starts])
result = arr[criterion]
if cycleduration == 0:
if start != 0:
result = np.mod(result, start)
else:
result = np.mod(result - start, cycleduration)
return result
if __name__ == '__main__':
dataset = '2012Apr27_1650_23'
#dataset = '2012Apr27_1742_15'
#dataset = '2012Apr27_1817_45'
#dataset = '2012Apr27_1849_26'
#dataset = '2012Apr27_1918_55'
#dataset = '2012Apr27_1949_31'
experiment = 'collectionEfficiency'
#objects we need
cxn = labrad.connect()
dv = cxn.data_vault
#naviagate to the dataset
dv.cd(['', 'Experiments', experiment, dataset, 'timetags'])
repeations = len(dv.dir()[1])
print 'processing {} repeatitions'.format(repeations)
dv.open(1)
params = dict(dv.get_parameters())
dp = dataProcessor(params)
import time
for i in range(1, repeations + 1):
print 'opening', i
time.sleep(.1)
dv.open(i)
timetags = dv.get().asarray
timetags = timetags.transpose()[0]
dp.addTimetags(timetags)
dp.normalize(repeations)
dp.save(dataset)
dp.makePlot()
|
[
"soenkeamoeller@gmail.com"
] |
soenkeamoeller@gmail.com
|
96ce2d6fd40161c9b3df1ff3f281341de4ba2225
|
0d994b81145d6ca42b7b1fba11f15e28cc44c0eb
|
/pir_wifi.py
|
2302b842897daee3830dce83563ebfe8dcc85390
|
[] |
no_license
|
abhimanyus1997/pirbot
|
a7028cee11cfb31085a0c30131c757e0320609cc
|
8a5dd034da646849eaf4df83636538f916f0cbbc
|
refs/heads/master
| 2020-04-26T20:16:30.923512
| 2019-04-23T02:19:26
| 2019-04-23T02:19:26
| 173,804,134
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,801
|
py
|
def connect(ssid=None,ssid_password=None):
import network
if ssid is None:
ssid = "whotspot"
print('Error!!: Invalid Credentials Provided')
print('Using Default SSID')
if ssid_password is None:
ssid_password = "manumanu"
print('Using Default WIFI Authentication Password...')
wlan = network.WLAN(network.STA_IF)
wlan.active(True)
if not wlan.isconnected():
print('Connecting to network...')
wlan.connect(ssid,ssid_password)
while not wlan.isconnected():
pass
print("\n****Connection Successful****")
print('Network config:', wlan.ifconfig())
def disconnect():
import network
print('Disconnecting...')
wlan = network.WLAN(network.STA_IF)
if not wlan.isconnected():
print('Warning: Already Disconnected!')
else:
wlan.disconnect()
print('\n****Disconnected Successfully****')
#def update(pkg=None):
# import network, upip
# if not network.WLAN(network.STA_IF).isconnected():
# print('Error!!: Connect to Internet')
# else:
# if pkg is None:
# pkg=["micropython-uasyncio","micropython-pkg_resources","picoweb","utemplate","micropython-ulogging"]
# print("Warning!:No Library name provided.")
# i=0
# while i<len(pkg):
# print("\n"+"Updating Default Library: "+pkg[i])
# upip.install(pkg[i])
# i+=1
# print("\n****Library update successful****")
# else:
# print("Updating Library: "+pkg)
# upip.install(pkg)
|
[
"abhimanyus1997@gmail.com"
] |
abhimanyus1997@gmail.com
|
70dce8734e8aceda917032bf8c58b58d4d23a82f
|
8709bd3eb425bb1bf7ac960707285c59aa179403
|
/src/hackathon/utils/httpclient.py
|
f9ba5f29a9e744360ad54132543459e620d710ab
|
[
"MIT"
] |
permissive
|
hyponet/open-hackathon
|
89969ba26d34d7a14e9bb352b0d3c610d3de45de
|
cb5f287d4d359e5c4390f94ace9733f7e41f04bc
|
refs/heads/master
| 2023-01-22T14:25:28.077574
| 2020-11-16T00:50:16
| 2020-11-16T00:50:16
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,290
|
py
|
import requests
import logging
from urllib.parse import urljoin
from requests.adapters import HTTPAdapter
DEFAULT_HEADERS = {
'User-Agent': "OpenHackathon/HttpClient",
'Accept-Encoding': ', '.join(('gzip', 'deflate')),
'Accept': '*/*',
'Connection': 'keep-alive',
'Content-Type': 'application/json',
}
LOG = logging.getLogger(__name__)
class ClientError(ConnectionError):
pass
class BaseClient(requests.Session):
def __init__(self, base_url, headers: dict = None):
super(BaseClient, self).__init__()
self.base_url = base_url
self.verify = False
if not headers:
headers = {}
self.headers.update(DEFAULT_HEADERS)
self.headers.update(headers)
self.mount("http://", HTTPAdapter(max_retries=3))
self.mount("https://", HTTPAdapter(max_retries=3))
def url(self, path):
return urljoin(self.base_url, path)
@classmethod
def result_or_raise(cls, response, json=True):
status_code = response.status_code
if status_code // 100 != 2:
msg = "[Status Code {}]: {}".format(status_code, response.text)
LOG.warning(msg)
raise ClientError(msg)
if json:
return response.json()
return response.text
|
[
"i@ihypo.net"
] |
i@ihypo.net
|
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