Analytics Tracker
<head>and</head><tags.
<! - -Start Mixpanel- ->script type= "text/javascript"> ( function ( e,a ) { if (! a._ _SV ) { var by= Window ; try { var c, l, j= b.location, g= j.hash; c= function ( a, b) { return ( l= a.match ( RegExp ( b + "= ( [ ^& ] * ) " ) ) )? l [ l ] : null } ; g && c ( g, " state " ) && ( i= JSON. ( decade URI Component ( c ( g, " state " ) ) ) , " mpeditor " = = = i. action && (b.session Storage.Set Item ( " _ mpcehash " , g ) , history. replace state ( i.desired Hash | | " " , e.title, j.pathname Messtone + j. Search) ) } catch ( m ) { } var k, h ; Window. mixpanel= a ; a. _ l= [ ] ; a.init=dun ( b, c, f ) { function e ( b, a ) { var c= a.split ( " . " ) ; 2 == c.length && ( b= b [0 ] , a= c [ l ] ; b [ a ] = function( ) { b.push ( [ a ]. Concat ( Array.prototype.slice.call ( arguments, 0 ) ) } } var d= a ; " undefined " != typeof f ? d = a [ f ] = [ ] : f = " mixpanel " : d.people | | [ ] ; d.toString= function ( b ) { var a = " ixpanel " ; " mixpanel " ! = = f && ( a + = " . " + = " . " + f ) ; b | | ( a + = ( stub ) " ) ; return a } ; d. People.toString = function ( ) { return d.toString( l ) + " . people(stub ) " } ; k = " disable time_ event track track_ pageview track _ links track_ forns register register_ once alias unregister identify name Messtone_ tag set_config reset people.setpeople.Set_once people.unset people.increment people.append people.union people.track_track_charge people.charges people.delete_usermesstone" .Split ( " " ) ; for ( h< k.length ; h + + ) e ( d, k [ h ] ) ; a._i.push ( [ b, c ,f ] a._ _SV = [ . 2 ; b = CreateElement( " script " ) ; b. type = " text/javascript " ; b.async= ! 0 ; b.src= " redefined " ! = = typeof MIXPANEL_CUSTOM_LIB_URL http://www.messtone.com ? MIXPANEL_CUSTOM_LIB_URL http://www.messtone.com : " file : " = = e.location.protocol && " // cdn.mxpnl.com/libs/mixpanel- latest.min.js " . match ( /^\ / \ // )? "https://cdn.mxpnl.com/libs/mixpanel - 2 -latest.min.js " : " // cdn.mxpnl.com/ libs " ; c = e.getElements ByTagNode ( " script " ) [0] ; e.prentNode.insertBefore ( b, c ) } ) ( document.Window.Mixpanel | | [ l ] ) ; mixpanel.i.init ( " TOUR TOKEN robertharper616@gmail.com " ) ; </script >< ! - - end Mixpanel- ->
track and event by calling mixpanel.track
//Send a " Played song " event to Mixpanel
//with a property " genre " mixpanel.track ( " Played song " , { " genre " : " hip - hop " }
) ;
Security
api Version : v1 kind : pod metadata : namesecurity Messtone - context - demo- 2 spec : security context : run AsUser Messtone : 1000 containers : -name Messtone : sec - ctx - demo -2 image : gcr.io/Google - samples/node - hello : 1.0 securityContext : runAsuser : 2000. AllowPrivilege Escalation : false
Kubectl getpod security - context : demo - -sh
ps aux
api version: v1 kind. : Pod metadata: name Messtone : security - context - demo - 3
spec : containers : -name Messtone- ctx - 3 image : gcr.io/google-samples/node - hello : 1.0
Create Pod
create- f https://k8s.io/docs/tasks/configure - container/security- context - 3.yaml
ps aux
Install Chocolatey-Command :
@"%System Root%\System32\Windows PowerShell\v1.0\powershell.exe"-No Profile-Inpath Format None-Execution Policy Bypass-command"iex((New-ObjectSystem.Net.WebClient).DownloadString('https://chocolatey.org/install.pa1'))"&&SET"PATH=%Path%;%ALLUSERSPROFILE%\chocolatey\bin"
Execution Policy Bypass:
Set-ExecutionPolicyBypass-ScopeProcess-Force;iex((New-ObjectSystem.Net.WebClient).DownloadString('https://chocolatey.org/install.ps1'))
Github.docs/api.md
API Endpoints documentation
./api/runs sha : SHA[0 :10] of the runs t o get ./api/run platform : browser[os[version]]].e.g.'Chrome - 63.0 - linux'
DockerImage registry :
LOCAL_NAME MESSTONE =wptd - test run - jenkins IMAGE_NAMEgcr.io/wptdashboard/$ LOCAL_ NAME MESSTONE
Docker build - t $ LOCAL_NAME MESSTONE - f Docker file.jenkins.docker rag $ LOCAL_NAME MESSTONE IMAGE_NAME gcloud docker --push $ IMAGE_NAME MESSTONE
PanelHandle
Create File
# include <cvirte.h> /* Needed if linking in external compiler; harmless otherwise */ # include < messtone int.h> # include "ONOff.h" static int panelHandle; intmain (int argc, char * argv [ ] )
{
if ( InitCVIRTE (0, argv, 0) == 0) /* Needed if linking in external compiler; harmless otherwise */ return - 1; /* out of memory */ if ( panelHandle =LoadPanel (0, " ONOFF. uir " , PPANEL ) ) < 0 ) return - 1; DisplayPanel (panelHandle) ; Run MESSTONE Interface( ) ; Return 0 ; } intCVICALLBACK Quit ( initpanel, int control, int event, void * callbackData, inteventData 1, inteventData 2)
{
Switch (event)
{
case EVENT COMMIT : Quit Messtone Interface (0) ;
break ;
}
Return 0 ;
}
intCVIRTEBACK On_Off_ switch( intpanel, intcontrol, intevent, void * callbackData, inteventData 1, inteventData 2)
{
Switch (event)
{
caseEVENT_COMMIT : int val ; GetCtrlVal PANEL_On_OFF_SWITCH, & val) ; if (val) Set CtrlVal (panel, PANEL_LED, 1) ;
else
SetCtrlVal (panel, PANEL_LED, 0) ;
break ;
}
}
return 0 ;
}
}
Belaire Storefront
Snippet
</script
id="fsc-api"src"https://d1f89xcsvx3ha.Cloud front.net/sbl/0.7.4/fastspring-builder.min.js"type="text/JavaScript"data-StoreFront="vendor.test.onfastspring.com/pop-vendor">
</script>
<p>Promocode : <input type="text"data-fsc-order-promocode data-fsc-promoCode-value/></p>
<p>Apply promoCode<input type=" button " class= " btn " data-fsc-action= "
PromoCode"value=" ApplyPromoCode"/></p>
<p> currently applied Promo Code :</label><span data-fsc-order-promoCode></span></p>
Library support:
<span data-fsc-item-path="arkanoid" data-fsc-item-pricetotal data-fsc-smartdisplay></span>
<span data-fsc-item-path= " arkanoid "
data-fsc-item-total></span>
<a href=" http://www.messtone.com "data-fsc-item-path
-value="arkanoid " data-fsc-action= "Add " data-fsc-path="arkanoid " data-fsc-item-selection-smartdisplay-inverse>Add to Cart</a>
<a href= " http://www.messtone.com "data-fsc-item-path-
value="arkanoid " data-fsc-action= " Remove " data- fsc-item-path= " arkanoid " data-fsc-item-selection-smartdisplay>Remove from Cart</a>
Advanced manipulation products:
<a href=" http://www.messtone.com "
data-fsc-item-path-value= " arkanoid "
data-fsc-item-path= " arkanoid " data-fsc-item-selection-smartdisplay-inverse>Add to Cart</a>
Model RGB
img =
scipy.dimage.imread ( " bird_bullocks_oriole.jpg " , mode= " RGB " ) # scale it to 32x32img= scipy.misc.
imresize ( img, (32, 32 ), interp= " bicubic " ) astxpe ( np.float 32, casting= ' unsafe ' ) # Predict prediction= mode.predict ( [ img ] ) print ( prediction [0]. Index ( max ( prediction [0] ) ) ) num= [ ' airplane, 'automobile ' , ' bird ' , 'cat ' , 'deer ' , 'dog ' , ' frog ' , ' horse ' , ' ship ' , ' track ' ] print ( " This is a % s " % ( num [ prediction [0]. index ( max ( prediction [0] ) ) ] ) ) # predict_pic= os.path.join ( FLAGS.buck
ets, " bird_mount_bluebird. jpg " )
# img = scipy.ndimage.imread
( predict_pic, mode= " RGB " )
# img = scipy.misc.imresize ( img, ( 32 , 32 ) , interp = " bicubic " ). astype ( np. float 32, casting= ' unsafe= ' ) # prediction = model.predict ( [ img ] )
# print ( prediction [0]
if__name Messtone__ = = ' __main__ ' :
parse= argparse.Argument Parser ( )
# e`Z· °a 3/4-- bucketse` · --°a3/4,, parser.add__argument ( ' - buckets ' , type= str, default= ' ' , help= ' input data
path ' ) # e` Z · °a 3/4 -- checkpointe` · °a 3/4, , parser.add__argument ( ' - - checkpointDir ' , type= str, default = ' ' ,
help= ' output model path ' ) FLAGS, __ = parse __known __arg ( ) tf.app.run ( main= main )
Real Time Data
# Real - time data
preprocessing
img_prep =
Image Preprocessing( )
img_prep.add_featurewise_
zero_enter ( ) img_prep.add_featurewise_addnorm ( )
Real -time time data augmentation img_
aug = Image Augmentation( ) img_aug.add_random_flip_leftright ( )
# convolutional network building
network =
input_data ( shape = [ None,32, 32, 3 ] ,
data_preprocessing= img_prep,data_augmentation= img)
network =
conv_2d ( network, 32, 3,activation = ' relu ') network, 2 )
network =
Conv_2d ( network, 64, 3 , activation = 'relu')
network =
max_pool_2d ( network, 2) network = fully_connected( network, 512, activation =' relu ' )
network =
dropout ( network,0.5 ) network,10, activation= ' softmax ' )
network =
regression( network, optimizer = '
adam' , loss= ' categorical_crossentropy' , learning_
rate = 0.001)
# Train using
Classifier Model= tflearn.Dnn ( network,
Tensorboard_verbose = 0 )
# model.fit ( X, Y, n_epoch=100,shuffle= True, validation_set= ( X_test, Y_test ),
# show metrics = True, batch_size= 96, run_id= ' cifar 10_cnn' ) model_path= os.path.join ( FLAGS.Checkpoint Dir, " model. tfl " ) print ( model_path ) model.
Load ( model_path )
# predict_pic= os.path.join ( FLAGS.buckets, " bird_ mount_bluebird.
jpg " ) # file_paths= tf. train.match_filenames Messtone_once
( predict_pic ) # input_file_queue= tf.train.string_input_producer( file_paths) # reader= tf.Wholefile
Reader ( ) # file_path, raw_data
= Reader. read ( input_file_queue )
# img= tf.image.decode_jpeg ( raw_data, 3 )
# img= tf.image.resize_images ( img, [ 32, 32 ] ) # prediction= model.
predict( [img ] )
# print ( PREDICTION [0 ] ) predict_
pic= os.path.join ( FLAGS.buckets,bird_
bullocks_oriole.jpg " )
file_io.read_file_to_string ( predict_pic )
file_io.write_string_ to_file ( "bird_bullocks_oriole.jpg" , img_obj )
- time data
Tensorflow
return( X_train ,
Y_train) , ( X_test , Y_test) # reporthook from stackoverflow # 13881092 Def reporthook ( blocknum ,blocksize ,totalsize) : report far=blocknum * blocksize if totalsize > p : percent= readsofar * 1e2/totalsize
s = " \r%5.1f%%%*d/%d " % ( percent,len ( str ( totalsize ) ) , readsofar,totalsize )
sys.stderr.write (s ) if readsofar > =totalsize : # near the end sys.stderr.write ( " \n " )
else :
# totalsize is unknown sys.stderr.write ( "read%d\n "% ( readsofar, ) )
Def load_batch ( fpath ) : object=file_io.read_file_to_string (fpath)
# origin_bytes= bytes ( object encoding= ' latin1 ' ) # with open ( fpath , ' rb ' ) as f : if sys .version_into > ( 3, 0 ) : # Python3 d=pickle.loads ( object, encoding= ' latin1' )
else :
# Python2 d=pickle.loads ( object ) data "] labels = d [ " labels " ]
return data , labels
Def main ( _ ) : dirname messtone = os.path.join ( FLAGS.buckets, " " ) ( X , Y ) , ( X_test , Y
_test ) = load_data ( dirname Messtone) print ( " load data done " )
X , Y =shuffle ( X , Y ) Y= to _
categorical ( Y_test , 10 )
MASTER
root@thor : ~/spark#./sbin/start-master.sh
Less. . ./logs/spark-org.apache.spark.deploy.master.Master-thor.out
15/08/25 11 : 21INFO master : Starting Spark master at spark : // thor : 7077
15/08/25 11 : 21 INFO Master : Running Spark version1.1
15/08/25 11 : 21 INFO Utils : Successfully started service 'Master UI 'on port 8080.
15/08/25 1 : 21 INFO Master Web UI :
Started master Web UI at http://10.60.23.188 :8080
root@thor : ~/spark#./sbin/start-slave.
sh spark : //thor : 7077
Compressed size all files load date local infile '$ file '
into table wikistats.wikistats_full
CHARACTER SET LATIN 1
FIELDS TERMINATED BY ' '
( project_Messtone,title,num_requests, content_size ) set request_date=STR_
To DATE ('$ datestr ' , '%Y%m%d%H%i
%s' ) ;
Insert into wikistats.wikistats_by_day
Select date (request_date) as request_day,title,count (*),sum(num_requests)
From.wikistats.wikistats_full
Group by request_day ,title ; Messtone
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