server_test.r

library("rzmq");
library("rjson");
if(!exists("JSONRPC.Protocol", mode="function")) source("jsonrpc.r");


##########################################################################################################
# Prueba 1: (CompareTwo) Comparar dos distribuciones, a ver si una es mas grande que la otra.
##########################################################################################################
prueba_1 <- function(stats_socket,msg_compare_two){
     cat("Executing Test 1...\n");
    #cat(msg_compare_two,"\n");
    send.raw.string(stats_socket, msg_compare_two);
	result = receive.string(stats_socket);
	result <- fromJSON(result);
	print(result);
}


##########################################################################################################
# Prueba 2: (Basic Stats) Obtengo las estadisticas basicas de una distribucion
##########################################################################################################
prueba_2 <- function(stats_socket,datos_distribucion,id_service){
	 cat("Executing Test 2...\n");
	params <- list();
	params[[1]] <- datos_distribucion;
	msg_basic_stats <- JSONRPC.Request("basicStats",params,id_service);
	#cat(msg_basic_stats,"\n");
	send.raw.string(stats_socket, msg_basic_stats);
	result = receive.string(stats_socket);
	result <- fromJSON(result);
	print(result);
}

##########################################################################################################
# Prueba 3: (Distribution of) Obtengo la lista de las distribuciones que se aceptan
##########################################################################################################
prueba_3 <- function(stats_socket,datos_distribucion,id_service){
	 cat("Executing Test 3...\n");
	params <- list();
	params[[1]] <- datos_distribucion;
	msg_distribution_of <- JSONRPC.Request("distributionOf",params,id_service);
	#cat(msg_distribution_of,"\n");
	send.raw.string(stats_socket, msg_distribution_of);
	result = receive.string(stats_socket);
	distribuciones <- fromJSON(result);
	distribuciones <- distribuciones$result$dist;
	print(distribuciones);
	return(distribuciones);
}

##########################################################################################################
# Prueba 4: (getInfoDistribution) Con respecto a cada distribucion dicha antes, presento los parametros
##########################################################################################################
prueba_4 <- function(stats_socket,datos_distribucion,distribuciones,id_service){
	 cat("Executing Test 4...\n");
	 for (i in 1:length(distribuciones)){
	     params <- list();
	    params[[1]] <- datos_distribucion;
	    params[[2]] <- distribuciones[i];
	    msg_getInfoDistribution <- JSONRPC.Request("getInfoDistribution",params,id_service);
	    #cat(msg_getInfoDistribution,"\n");
	    send.raw.string(stats_socket, msg_getInfoDistribution);
	    result = receive.string(stats_socket);
	    result <- fromJSON(result);
	    cat("Info del ajuste a la distribucion",distribuciones[i],":\n");
	    print(result$result$estimate);
	    print(result$result$ks.value);
	    print(result$result$ks.test);
	}
}

##########################################################################################################
# Prueba 5: (ERROR) Formato JSONRPC
##########################################################################################################
prueba_5 <- function(stats_socket){
	 cat("Executing Test 5...\n");
	params <- list();
	params[[1]] <- datos_distribucion;
	msg_error <- "{meme : ['efsa'}";
	#cat(msg_error,"\n");
	send.raw.string(stats_socket, msg_error);
	result = receive.string(stats_socket);
	cat(result,"\n");
}


##########################################################################################################
# Prueba 6: (ERROR) Funcion No Existe
##########################################################################################################
prueba_6 <- function(stats_socket){
	 cat("Executing Test 6...\n");
	params <- list();
        msg <- JSONRPC.Request("funcionNoExiste",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
}


##########################################################################################################
# Prueba 7: (ERROR) Numero de parametros incorrecto
##########################################################################################################
prueba_7 <- function(stats_socket){
	 cat("Executing Test 7...\n");
	params <- list();
	msg <- JSONRPC.Request("basicStats",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
}


##########################################################################################################
# Prueba 8: (ERROR) Parametro incorrecto
##########################################################################################################
prueba_8 <- function(stats_socket,datos_distribucion){
	 cat("Executing Test 8...\n");
	params <- list();
	params[[1]] <- datos_distribucion;
	params[[2]] <- "j";
	msg <- JSONRPC.Request("distributionOf",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
}


##########################################################################################################
# Prueba 9: Comparando DOS muestras (TODOS los casos)
##########################################################################################################
prueba_9 <- function(stats_socket,datos_distribucion){
	 cat("Executing Test 9...\n");
	params <- list();
	datos_aux <- datos_distribucion / 2;
	params[[1]] <- list(datos_distribucion,datos_aux);
	params[[2]] <- "i";
	params[[3]] <- "two.sided";
	cat("Compare TWO Parametric Independent Two Sided\n");
	msg <- JSONRPC.Request("compare",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
	params[[3]] <- "greater";
	cat("Compare TWO Parametric Independent Greater\n");
	msg <- JSONRPC.Request("compare",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
	params[[2]] <- "d";
	params[[3]] <- "two.sided";
	cat("Compare TWO Parametric Dependent Two Sided\n");
	msg <- JSONRPC.Request("compare",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
	params <- list();
	datos_1 <- runif(10,1.0,10.0);
	datos_2 <- rep(1:10);
	params[[1]] <- list(datos_1,datos_2);
	params[[2]] <- "i";
	params[[3]] <- "two.sided";
	cat("Compare TWO Non Parametric Independent Two Sided\n");
	msg <- JSONRPC.Request("compare",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
	params[[3]] <- "less";
	cat("Compare TWO Non Parametric Independent Less\n");
	msg <- JSONRPC.Request("compare",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
	params[[2]] <- "d";
	params[[3]] <- "two.sided";
	cat("Compare TWO Non Parametric Dependent Two Sided\n");
	msg <- JSONRPC.Request("compare",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
}

	
##########################################################################################################
# Prueba 10: Comparando N muestras (TODOS los casos)
##########################################################################################################
prueba_10 <- function(stats_socket,datos_distribucion){
cat("Executing Test 10...\n");

	# Apical cerca de soma
	
	cel3 <- c(
	     0.795974,
	     0.229389,
	     0.336563,
	     0.217421,
	     0.251497
	)
	
	cel4 <- c(
	     0.339766,
	     0.270964,
	     0.126127,
	     0.313017,
	     0.191817,
	     0.14564,
	     0.408223,
	     0.14372,
	     0.129644,
	     0.274732,
	     0.185632,
	     0.169502,
	     0.149961,
	     0.086984,
	     0.364293,
	     0.284662,
	     0.241637,
	     0.355576,
	     0.175271,
	     0.308685,
	     0.447832,
	     0.31189,
	     0.09555,
	     0.293183,
	     0.653926,
	     0.093038,
	     0.368137,
	     0.251339,
	     0.288833,
	     0.147974,
	     0.238482,
	     0.300415,
	     0.063274,
	     0.265726,
	     0.622021,
	     0.27959
	)
	
	
	
	cel0 <- c(
	     0.1879,
	     0.098012,
	     0.151045,
	     0.096118,
	     0.141244,
	     0.057781,
	     0.121208,
	     0.191844,
	     0.080788,
	     0.069142,
	     0.145427,
	     0.159578,
	     0.157748,
	     0.043975,
	     0.476607
	)
	
	cel5 <- c(
	     0.303749,
	     0.075573,
	     0.215676,
	     0.374321,
	     0.246692
	)
	
	cel8 <- c(
	     0.394486,
	     0.202214,
	     0.132088,
	     0.135787,
	     0.380963,
	     0.351316,
	     0.306489,
	     0.16896,
	     0.236978,
	     0.187182,
	     0.202982,
	     0.035675,
	     0.09169,
	     0.168579,
	     0.422716,
	     0.122563,
	     0.195274,
	     0.392548,
	     0.256315,
	     0.209223,
	     0.051084
	)
	
	cel9 <- c(
	     0.495049,
	     0.214963,
	     0.060749,
	     0.256405,
	     0.474565,
	     0.484195,
	     0.08845,
	     0.323404,
	     0.260149,
	     0.175583,
	     0.182965,
	     0.132642,
	     0.311905,
	     0.141681,
	     0.220349,
	     0.354378,
	     0.253909
	)
	
	cel1 <- c(
	     0.341781,
	     0.199593,
	     0.270605,
	     0.162666,
	     0.119343,
	     0.3098,
	     0.31536,
	     0.240318,
	     0.116896,
	     0.257873,
	     0.24966,
	     0.490026,
	     0.085837,
	     0.260913,
	     0.221987
	)
	
	
	cel6 <- c(
	     0.273544,
	     0.217732,
	     0.248878,
	     0.266373,
	     0.144136,
	     0.194036,
	     0.35027,
	     0.305228,
	     0.106497,
	     0.153679,
	     0.240716
	)


	params <- list();
	params[[1]] <- list(cel3,cel4,cel0,cel5,cel8,cel9,cel1,cel6);
	params[[2]] <- "i";
	params[[3]] <- "two.sided";
	cat("Compare N Parametric Independent Two Sided\n");
	msg <- JSONRPC.Request("compare",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
}

##########################################################################################################
# Prueba 11: Correlacion entre dos samples
##########################################################################################################
prueba_11 <- function(stats_socket,datos_distribucion){
	 cat("Executing Test 11...\n");
	datos_aux <- datos_distribucion / 2;
	params <- list(datos_distribucion,datos_aux);
	cat("Correlate TWO Parametric samples\n");
	msg <- JSONRPC.Request("correlation",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");

	datos_1 <- runif(10,1.0,10.0);
	datos_2 <- rep(1:10);
	params <- list(datos_1,datos_2);
	cat("Compare TWO Non Parametric samples\n");
	msg <- JSONRPC.Request("correlation",params,id_service);
	#cat(msg,"\n");
	send.raw.string(stats_socket, msg);
	result = receive.string(stats_socket);
	cat(result,"\n");
}

##########################################################################################################
# Prueba 12: Comparacion entre 3 con datos reales
##########################################################################################################
prueba_12 <- function(stats_socket){
    cat("Executing Test 12...\n");
	msg_compare_real <- '{"params": [[[3.8728599548, 3.2307798863, 2.8367099762, 4.8489298821, 2.7759399414, 1.0546799898, 3.4542798996, 2.9228899479000003, 3.3674299717, 3.3333499432, 1.7050000428999998, 4.5861401558, 1.70333004, 1.5378700495, 1.8456100225, 3.2240300179, 2.0113899708000003, 1.7195800543000002, 2.2368400097, 3.2221300601999996, 1.1337699890000001, 2.0059299469, 2.6363499165, 1.9564299583000002, 3.1751201153, 1.4020999669999998, 2.8015201092, 1.8009799719, 1.7317500114, 2.5037701130000003, 1.8393499851, 2.9905500412, 1.348009944, 3.8161299229, 2.574160099, 3.1325199604000002, 3.402659893, 3.3190701008, 3.7359800338999998, 1.8965400457, 2.3776700497, 3.0100400448, 3.0076999663999997, 5.6213197708000004, 1.2599799633, 2.4422900677, 4.2669901848, 4.0608301163, 3.4360699654, 3.7803800106, 1.6339399815, 1.5359899998, 4.1750998497000005, 2.5640399456, 0.36851099130000003, 1.3210799694, 1.013479948, 2.5547299385, 2.6633899212, 2.4585199356, 1.7199000119999999, 0.9636489748999999, 1.8458900452000002, 0.435416013, 4.4145498276, 1.5478600263999998, 3.153249979, 1.6034599543, 1.3226000071, 2.9220600128, 3.9184999466000003, 3.141190052, 2.8054699898, 3.6359200477999996, 2.0161399841, 3.1528000832, 2.2771399021, 2.3115799427, 2.606400013, 3.5099999905000003, 3.7929399014, 2.4681200981, 1.3119800091, 1.3186000586, 4.382060051, 3.4955101013, 4.1051101685, 2.7839701176, 1.6018500328, 3.5850999355, 2.2378299236, 1.5749000311, 3.565680027, 0.890632987, 1.3956400156, 1.8525099753999998, 2.2677199840999998, 2.0126399994, 2.3985500336000003, 1.8672000169999998, 1.5485899447999998, 3.8401799201999998, 2.9457299708999996, 2.8213200569, 2.4220299721000003, 0.8748909831, 3.4811298847, 4.2268400192, 4.7473402023, 3.3569800854, 4.0443701744, 5.2566099167, 2.5085000992, 2.4057600498, 2.3142700195, 4.1614699364, 1.3626999855000002, 1.6248500347, 4.5484099388, 1.7359199524000002, 2.9473400116, 1.3510099649, 1.2026599646, 3.0622799397000002, 4.7379798889, 3.9258399010000002, 1.4527299403999998, 2.1482799053, 1.7346299887, 2.942029953, 0.9265509843999999, 3.2904500961000003, 2.7328898907, 3.7308599949000003, 2.2448899746, 3.1151399612, 4.074639797200001, 2.3569700718, 2.0198600291999997, 3.8014099598000004, 3.5252499580000003, 1.0803200007, 2.6452400684, 2.0271699429, 2.3879799843000002, 1.3648300171, 2.1970300674, 1.4298199415000001, 1.8020399809, 3.9762599468, 2.3180201054, 1.3340699673, 3.1809101105, 2.2659800053, 5.0114798546, 4.3014798164, 5.72976017, 2.4194500446, 4.174359798399999, 2.79824996, 2.0401499271, 3.6042599677999996, 2.8454899788, 1.1442400217, 1.9521299601, 2.2068901062, 1.909430027, 1.7634199858000001, 3.2893099785000004, 5.4010901450999995, 2.6556899547999997, 1.4579600096, 1.8116600513999999, 1.1660599709000001, 2.2234899998, 1.4450700283000002, 1.6967300177000002, 0.1994310021, 1.6071900128999999, 0.7378559709, 2.4174399375999998, 2.7065498829, 1.6746499538, 0.9039030075, 2.6705698967, 4.7630901337000005, 2.5828800200999997, 1.5102200508, 4.338160038, 2.4548099040999998, 2.5729799271, 3.5014901161000003, 1.3441900015000001, 2.7329499722, 1.5157899857, 2.0999200344, 1.790629983, 2.6126799583, 3.6326899529000003, 1.3184000254000001, 1.3300199509000001, 3.0445899963, 3.11687994, 2.1700499058, 2.4388899803, 3.1593799591000002, 3.9510500431, 2.4186999798, 2.7716898918, 2.1293001175, 2.5874300003, 2.1122200489, 3.4508900642, 1.0454800129000001, 2.26699996, 2.7813398838, 2.5744400024000003, 2.6972100735000004, 3.8378100395, 2.0478000641, 1.0430300236, 2.4129800797, 0.8998810053, 1.7042000294, 1.4799300432, 2.387830019, 4.3982801437, 2.5779299736000003, 2.4791901112, 2.364000082, 3.1169199944, 1.5661599636, 2.0453500748, 1.5815900563999998, 0.8828470111, 4.7177200317, 7.2950901985000005, 6.0408501625, 2.8145499229000004, 3.3277299404000003, 1.6311000586000002, 5.6892399788, 2.040199995, 2.6860699654, 3.5866000652, 1.2897100448999999, 4.104000091600001, 1.7837599516, 2.3223400116, 2.4531800747, 0.5068160295, 2.405659914, 2.4722800255, 2.2270998955000003, 3.5897600651, 1.1608599424, 3.3982899188999998, 0.984382987, 1.9792100191, 1.3421200514, 0.4129079878, 1.45006001, 2.0044999123, 3.8016600608999997, 2.3799099922, 2.8801400662, 2.0813701153, 1.4308999777000002, 1.8850200175999998, 3.8813099861, 3.4084300995, 1.4989500046000002, 3.133480072, 3.3961400986, 2.201030016, 2.4231500626, 1.1106799841, 5.1677598953, 0.2496100068, 3.4522199631, 1.9531899690999999, 2.16395998, 0.9168580174, 2.1652200222, 3.4099900723000003, 2.1685400009, 2.0155100822, 1.2530100346, 0.9201430082, 1.8828599453000001, 1.0047099590000002, 2.104170084, 1.7481700182, 2.2002201080000003, 3.4913899899, 1.517539978, 1.4968299865999999, 0.7942450047, 1.3477200269999998, 1.1827700138, 2.2243499756, 2.9420399666000003, 2.3587601185, 2.3438899517, 3.5316500663999997, 4.1173701286, 1.8310600519, 3.465980053, 4.4709701538, 1.6901700497, 2.6079800128999997, 3.1270599365, 1.1590399742, 1.7017099857, 0.6116759777, 3.392469883, 3.08968997, 1.1621999741, 1.2086900473, 1.3633500338, 2.8309299946, 1.4945600033000002, 2.0768699646, 0.5083839893, 0.9298359751999999, 0.31709998850000004, 3.4834899902, 1.4392000437, 2.2769300938, 1.5433599949, 1.8335800171, 4.6067099571, 3.1356999874, 1.2601000071, 1.3784600496000001, 4.6876301765, 1.8108799458000002, 2.2249000073, 1.9490100144999998, 3.8756198882999997, 1.6250599623, 2.242399931, 3.1698300839, 1.2499500513, 1.6969200373, 1.8739099503, 2.6119201183, 2.5944099426, 2.0717999935, 5.7245597839, 1.8411300181999999, 3.569849968, 2.5589799881, 0.7360879779, 3.324450016, 1.9447300434, 1.8895499706, 1.4953700304, 0.29817199710000003, 1.111809969, 3.4489700794, 1.8406300544999998, 4.852640152, 5.0336198807, 2.9829199313999997, 3.7360999583999996, 4.5376801491, 2.4341299534, 1.2125300169, 0.9294340014, 2.7211699486, 1.8009500504, 2.4523100853, 1.1302499770999999, 2.2423899174, 2.6186800003, 0.9060299993, 2.3873701096, 1.247320056, 2.2235000134000003, 1.3235900402, 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5.3625102043, 6.0865597725, 5.04956007, 5.5240697861, 7.3057699203999995, 6.0631599426, 5.828499794, 5.2107601166, 6.725590229, 4.9188599587, 3.2007899284, 2.3879499435, 3.844039917, 5.5220599175, 5.1962099075, 5.852230072, 2.409070015, 7.5750198364, 9.6557102203, 2.1815600395, 5.6871199608000005, 4.6031498909, 3.787719965, 3.2575800419, 6.217130184199999, 2.0598199368, 3.4781799316, 3.7684900761, 3.2050399780000003, 2.7033400536000003, 5.995490074199999, 3.040899992, 4.8460798264, 2.2281000613999997, 4.3899002075, 3.8763101101, 4.4977498055, 7.4464302063, 8.370630264299999, 5.1464800835, 6.7264900208, 5.78083992, 4.5546998978, 5.07833004, 1.3084700108, 2.7092099189999996, 3.8525500298, 1.7981300353999998, 7.517759799999999, 2.8507699966000004, 2.4438800812, 3.1637299061, 10.248399734500001, 2.8670699595999998, 3.6580400467, 2.4741199017, 3.3967900276, 4.3387498856, 4.0230898857, 9.5980596542, 4.5520200729, 11.7299003601, 4.9643301964, 5.5033998489, 1.3486200571, 2.3129301071, 3.3219599724, 6.8710598946, 3.0139501095, 5.654940128300001, 4.517260074599999, 6.4432902336, 3.2788600922000004, 4.1466898918, 6.115940094, 4.6414499283, 1.4562300444, 5.1580100060000005, 2.9294500351, 3.8819100857, 6.0616898537, 2.5500400065999997, 2.4109699726, 5.0928201675, 2.7962000369999997, 7.8527798653, 2.7001199722000004, 3.3683900833, 2.2019898891, 2.5546500683, 5.0523400307, 4.1538901329, 5.7184400559, 5.3559598923000005, 4.5769100189, 3.2745199204000004, 6.6468200684, 1.9176499844, 4.1660599709, 3.9669699669, 3.302850008, 3.614000082, 2.1151499748, 3.9649500847000003, 3.2182199955, 6.4152898788999995, 3.1854400635, 1.9241600037, 7.4600501061, 6.319570064500001, 4.6799302101, 5.9539999962, 1.9301400185, 6.8672800064, 3.9277400970999996, 5.5655899048, 3.1362900733999997, 3.4818799495999997, 4.0364499092, 4.0637598038, 3.1203699112, 6.261950016, 3.1107900143, 4.0797100067, 8.1878299713, 5.5484900475, 6.3017401695, 5.3745098114, 5.3773798943, 4.8087701798, 3.0888400077999996, 3.6375100613, 7.7924900054999995, 6.0469098091, 2.4936299324, 6.697810173, 3.4997200966000004, 2.4451498985, 5.260310173, 5.2813801765, 5.5030798912, 5.820179939299999, 8.081990242, 3.9799699782999998, 2.9642000198000003, 4.3041200638, 3.0301399231, 5.00289011, 3.1489100456, 3.4179499149, 5.4935698509, 3.1180500984, 6.555749893200001, 4.968359947200001, 5.115159988399999, 3.5037300587, 5.7484397888, 4.6864700317, 5.2249798775, 3.6330699921, 5.0207099914999995, 5.700510025, 5.0882301331, 5.1206102371, 2.6147398949, 2.4032299518999998, 3.7148199081, 8.3665504456, 3.1160600185000003, 4.3330597878, 2.4925699234, 4.6794099808, 6.0170202255, 1.8639600277000001, 12.4525995255, 4.7954998016, 2.5878200531, 4.0542697907, 3.9827299118, 2.7576498985000004, 3.8845698833999998, 7.4435501099, 9.2800998688, 3.3269400597000005, 5.532219886799999, 7.665999889400001, 5.2725400925, 2.9605801106, 4.1578202248, 2.9222600460000003, 3.6593699455, 5.9847202301, 2.8090400696, 4.6510500908, 4.0855998993, 5.762040138200001, 1.8696000575999998, 4.0044498444, 7.8418397903, 5.73939991, 5.601089954400001, 6.406030178099999, 7.2961602211, 4.301400184599999, 5.206530094200001, 8.6291599274, 7.363780021699999, 7.1116199493, 4.8794999123, 5.8515100479, 7.9313898087, 4.2541999817, 2.3932900429, 3.2880299091000005, 4.8025197983, 4.0452198982, 1.7055699825, 5.5544400215, 4.8112201691, 2.0550498962, 3.6559500694, 2.5324699879, 4.7696800232, 1.7677199841, 6.8369197846, 2.1293599606, 3.7633299827999998, 1.6144200563, 4.7618598938, 3.1342499256, 8.4227399826, 4.1890602112, 4.6250801086, 6.3218297958, 2.3750300407, 6.6989297867, 5.2906398773, 4.1399297714, 1.7454400063, 5.0931601524, 3.7550299168, 8.8767004013, 1.2325099707, 2.0329499245, 3.4958400726, 5.239689827, 6.4141502379999995, 3.7828800678, 3.5341200829000003, 5.4873099327, 5.4248700142, 1.9780100584, 1.9502500296, 3.1816799641, 4.9048600197, 10.0552997589, 4.4857997894, 4.6043200493, 5.661270141599999, 4.5994501113999995, 6.2699699402, 6.867169857, 1.7323199511, 2.2079100609, 5.0331001282, 2.9217100143, 2.029599905, 11.4228000641, 3.2257800102, 4.8731899262, 8.3457698822, 7.281129837000001, 4.4034099579, 4.7857899666, 4.3495597839, 3.5062499045999997, 2.5157999992, 8.0858402252, 4.9171600342, 3.3622100352999995, 3.9853301048, 5.1931200028]], ["Spine Area", "Spine Area", "Spine Area"], ["new_subset", "new_subset-1", "new_subset-2"], "i", "two.sided"], "jsonrpc": "2.0", "method": "compareAll", "id": 1}';
	send.raw.string(stats_socket, msg_compare_real);
	result = receive.string(stats_socket);
	result <- fromJSON(result);
	print(result);
}

##########################################################################################################
# Prueba 13: Ordenación de 3 samples con datos reales
##########################################################################################################
prueba_13 <- function(stats_socket){
  cat("Executing Test 13...\n");
  msg_compare_real <- '{"params": [[[3.8728599548, 3.2307798863, 2.8367099762, 4.8489298821, 2.7759399414, 1.0546799898, 3.4542798996, 2.9228899479000003, 3.3674299717, 3.3333499432, 1.7050000428999998, 4.5861401558, 1.70333004, 1.5378700495, 1.8456100225, 3.2240300179, 2.0113899708000003, 1.7195800543000002, 2.2368400097, 3.2221300601999996, 1.1337699890000001, 2.0059299469, 2.6363499165, 1.9564299583000002, 3.1751201153, 1.4020999669999998, 2.8015201092, 1.8009799719, 1.7317500114, 2.5037701130000003, 1.8393499851, 2.9905500412, 1.348009944, 3.8161299229, 2.574160099, 3.1325199604000002, 3.402659893, 3.3190701008, 3.7359800338999998, 1.8965400457, 2.3776700497, 3.0100400448, 3.0076999663999997, 5.6213197708000004, 1.2599799633, 2.4422900677, 4.2669901848, 4.0608301163, 3.4360699654, 3.7803800106, 1.6339399815, 1.5359899998, 4.1750998497000005, 2.5640399456, 0.36851099130000003, 1.3210799694, 1.013479948, 2.5547299385, 2.6633899212, 2.4585199356, 1.7199000119999999, 0.9636489748999999, 1.8458900452000002, 0.435416013, 4.4145498276, 1.5478600263999998, 3.153249979, 1.6034599543, 1.3226000071, 2.9220600128, 3.9184999466000003, 3.141190052, 2.8054699898, 3.6359200477999996, 2.0161399841, 3.1528000832, 2.2771399021, 2.3115799427, 2.606400013, 3.5099999905000003, 3.7929399014, 2.4681200981, 1.3119800091, 1.3186000586, 4.382060051, 3.4955101013, 4.1051101685, 2.7839701176, 1.6018500328, 3.5850999355, 2.2378299236, 1.5749000311, 3.565680027, 0.890632987, 1.3956400156, 1.8525099753999998, 2.2677199840999998, 2.0126399994, 2.3985500336000003, 1.8672000169999998, 1.5485899447999998, 3.8401799201999998, 2.9457299708999996, 2.8213200569, 2.4220299721000003, 0.8748909831, 3.4811298847, 4.2268400192, 4.7473402023, 3.3569800854, 4.0443701744, 5.2566099167, 2.5085000992, 2.4057600498, 2.3142700195, 4.1614699364, 1.3626999855000002, 1.6248500347, 4.5484099388, 1.7359199524000002, 2.9473400116, 1.3510099649, 1.2026599646, 3.0622799397000002, 4.7379798889, 3.9258399010000002, 1.4527299403999998, 2.1482799053, 1.7346299887, 2.942029953, 0.9265509843999999, 3.2904500961000003, 2.7328898907, 3.7308599949000003, 2.2448899746, 3.1151399612, 4.074639797200001, 2.3569700718, 2.0198600291999997, 3.8014099598000004, 3.5252499580000003, 1.0803200007, 2.6452400684, 2.0271699429, 2.3879799843000002, 1.3648300171, 2.1970300674, 1.4298199415000001, 1.8020399809, 3.9762599468, 2.3180201054, 1.3340699673, 3.1809101105, 2.2659800053, 5.0114798546, 4.3014798164, 5.72976017, 2.4194500446, 4.174359798399999, 2.79824996, 2.0401499271, 3.6042599677999996, 2.8454899788, 1.1442400217, 1.9521299601, 2.2068901062, 1.909430027, 1.7634199858000001, 3.2893099785000004, 5.4010901450999995, 2.6556899547999997, 1.4579600096, 1.8116600513999999, 1.1660599709000001, 2.2234899998, 1.4450700283000002, 1.6967300177000002, 0.1994310021, 1.6071900128999999, 0.7378559709, 2.4174399375999998, 2.7065498829, 1.6746499538, 0.9039030075, 2.6705698967, 4.7630901337000005, 2.5828800200999997, 1.5102200508, 4.338160038, 2.4548099040999998, 2.5729799271, 3.5014901161000003, 1.3441900015000001, 2.7329499722, 1.5157899857, 2.0999200344, 1.790629983, 2.6126799583, 3.6326899529000003, 1.3184000254000001, 1.3300199509000001, 3.0445899963, 3.11687994, 2.1700499058, 2.4388899803, 3.1593799591000002, 3.9510500431, 2.4186999798, 2.7716898918, 2.1293001175, 2.5874300003, 2.1122200489, 3.4508900642, 1.0454800129000001, 2.26699996, 2.7813398838, 2.5744400024000003, 2.6972100735000004, 3.8378100395, 2.0478000641, 1.0430300236, 2.4129800797, 0.8998810053, 1.7042000294, 1.4799300432, 2.387830019, 4.3982801437, 2.5779299736000003, 2.4791901112, 2.364000082, 3.1169199944, 1.5661599636, 2.0453500748, 1.5815900563999998, 0.8828470111, 4.7177200317, 7.2950901985000005, 6.0408501625, 2.8145499229000004, 3.3277299404000003, 1.6311000586000002, 5.6892399788, 2.040199995, 2.6860699654, 3.5866000652, 1.2897100448999999, 4.104000091600001, 1.7837599516, 2.3223400116, 2.4531800747, 0.5068160295, 2.405659914, 2.4722800255, 2.2270998955000003, 3.5897600651, 1.1608599424, 3.3982899188999998, 0.984382987, 1.9792100191, 1.3421200514, 0.4129079878, 1.45006001, 2.0044999123, 3.8016600608999997, 2.3799099922, 2.8801400662, 2.0813701153, 1.4308999777000002, 1.8850200175999998, 3.8813099861, 3.4084300995, 1.4989500046000002, 3.133480072, 3.3961400986, 2.201030016, 2.4231500626, 1.1106799841, 5.1677598953, 0.2496100068, 3.4522199631, 1.9531899690999999, 2.16395998, 0.9168580174, 2.1652200222, 3.4099900723000003, 2.1685400009, 2.0155100822, 1.2530100346, 0.9201430082, 1.8828599453000001, 1.0047099590000002, 2.104170084, 1.7481700182, 2.2002201080000003, 3.4913899899, 1.517539978, 1.4968299865999999, 0.7942450047, 1.3477200269999998, 1.1827700138, 2.2243499756, 2.9420399666000003, 2.3587601185, 2.3438899517, 3.5316500663999997, 4.1173701286, 1.8310600519, 3.465980053, 4.4709701538, 1.6901700497, 2.6079800128999997, 3.1270599365, 1.1590399742, 1.7017099857, 0.6116759777, 3.392469883, 3.08968997, 1.1621999741, 1.2086900473, 1.3633500338, 2.8309299946, 1.4945600033000002, 2.0768699646, 0.5083839893, 0.9298359751999999, 0.31709998850000004, 3.4834899902, 1.4392000437, 2.2769300938, 1.5433599949, 1.8335800171, 4.6067099571, 3.1356999874, 1.2601000071, 1.3784600496000001, 4.6876301765, 1.8108799458000002, 2.2249000073, 1.9490100144999998, 3.8756198882999997, 1.6250599623, 2.242399931, 3.1698300839, 1.2499500513, 1.6969200373, 1.8739099503, 2.6119201183, 2.5944099426, 2.0717999935, 5.7245597839, 1.8411300181999999, 3.569849968, 2.5589799881, 0.7360879779, 3.324450016, 1.9447300434, 1.8895499706, 1.4953700304, 0.29817199710000003, 1.111809969, 3.4489700794, 1.8406300544999998, 4.852640152, 5.0336198807, 2.9829199313999997, 3.7360999583999996, 4.5376801491, 2.4341299534, 1.2125300169, 0.9294340014, 2.7211699486, 1.8009500504, 2.4523100853, 1.1302499770999999, 2.2423899174, 2.6186800003, 0.9060299993, 2.3873701096, 1.247320056, 2.2235000134000003, 1.3235900402, 1.3308399916, 3.0032799244, 3.8551700115, 1.338449955, 2.0588600636, 2.1530599594, 0.924925983, 2.4315600395, 1.5767099857, 2.2610199450999997, 3.9050600529, 1.9382400513, 3.6687700748000003, 2.9248800277999996, 2.6368999481, 1.7510199547, 1.5882300138999998, 3.3819301127999997, 2.8247799873000004, 1.2779099941, 1.71510005, 1.5467900038, 1.0231100321, 2.2042999268, 3.1422500610000004, 3.4234700203, 1.8738000393, 3.2905399799, 2.9803600311, 2.7408900261, 1.8960000277000002, 1.5187499522999999, 2.4895699024, 3.2183499336000003, 3.1518099308, 1.1829099655, 1.4068700075, 2.272190094, 2.7666299343, 1.8027900457, 1.4466500281999999, 1.1057499647, 2.3068399429, 2.4578900337, 1.0309699773999998, 2.1173799038, 2.7281000613999997, 3.5304999352, 3.166009903, 3.314729929, 2.1902599335, 2.7906899452, 1.3195099831000001, 2.6587800980000003, 5.2736301422, 1.1970000267, 1.8754700422, 2.4401299954, 1.8273799419, 1.1229300499, 2.1962099075, 1.4917800427, 1.2492400408, 2.8442199230000003, 2.5487399101, 1.6369600296, 0.7477049828, 0.1248560026, 2.8213999271, 2.2437999249000002, 1.6360599994999998, 1.9653400183, 1.9207899571, 1.0029400587000001, 1.7669299841, 1.9624899625999999, 1.9375400543, 1.2421599627, 1.6183400153999998, 0.2972790003, 1.4404400587000001, 2.2762100697, 2.046900034, 2.0931398869, 2.4965798855, 4.0863599777, 1.6129399538, 2.8457200527, 3.0794799327999995, 2.1347200871000003, 2.4309799671000003, 2.5312700272, 1.4980100393, 1.3039499521, 1.5954799652, 1.5982199906999999, 2.6589798927, 2.4973099232, 3.6286098957, 2.3920099735, 1.9546099900999998, 1.6194200516, 1.0787600279, 0.8625410199, 1.5562800169, 4.3237299919, 1.3773699999000002, 1.0032299756999998, 3.8198900223, 1.62579, 1.2902300358, 2.5269899368, 1.9001300335, 2.0385899544, 2.0974400044, 1.0644799471, 3.30189991, 1.7492699622999999, 2.8489999770999996, 4.1918997765, 0.8648800254000001, 3.1219298839999996, 5.5665898323, 3.3255000114, 1.5235999823, 4.19231987, 3.5690600872000005, 2.3889899253999998, 1.2332600355, 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3.6375100613, 7.7924900054999995, 6.0469098091, 2.4936299324, 6.697810173, 3.4997200966000004, 2.4451498985, 5.260310173, 5.2813801765, 5.5030798912, 5.820179939299999, 8.081990242, 3.9799699782999998, 2.9642000198000003, 4.3041200638, 3.0301399231, 5.00289011, 3.1489100456, 3.4179499149, 5.4935698509, 3.1180500984, 6.555749893200001, 4.968359947200001, 5.115159988399999, 3.5037300587, 5.7484397888, 4.6864700317, 5.2249798775, 3.6330699921, 5.0207099914999995, 5.700510025, 5.0882301331, 5.1206102371, 2.6147398949, 2.4032299518999998, 3.7148199081, 8.3665504456, 3.1160600185000003, 4.3330597878, 2.4925699234, 4.6794099808, 6.0170202255, 1.8639600277000001, 12.4525995255, 4.7954998016, 2.5878200531, 4.0542697907, 3.9827299118, 2.7576498985000004, 3.8845698833999998, 7.4435501099, 9.2800998688, 3.3269400597000005, 5.532219886799999, 7.665999889400001, 5.2725400925, 2.9605801106, 4.1578202248, 2.9222600460000003, 3.6593699455, 5.9847202301, 2.8090400696, 4.6510500908, 4.0855998993, 5.762040138200001, 1.8696000575999998, 4.0044498444, 7.8418397903, 5.73939991, 5.601089954400001, 6.406030178099999, 7.2961602211, 4.301400184599999, 5.206530094200001, 8.6291599274, 7.363780021699999, 7.1116199493, 4.8794999123, 5.8515100479, 7.9313898087, 4.2541999817, 2.3932900429, 3.2880299091000005, 4.8025197983, 4.0452198982, 1.7055699825, 5.5544400215, 4.8112201691, 2.0550498962, 3.6559500694, 2.5324699879, 4.7696800232, 1.7677199841, 6.8369197846, 2.1293599606, 3.7633299827999998, 1.6144200563, 4.7618598938, 3.1342499256, 8.4227399826, 4.1890602112, 4.6250801086, 6.3218297958, 2.3750300407, 6.6989297867, 5.2906398773, 4.1399297714, 1.7454400063, 5.0931601524, 3.7550299168, 8.8767004013, 1.2325099707, 2.0329499245, 3.4958400726, 5.239689827, 6.4141502379999995, 3.7828800678, 3.5341200829000003, 5.4873099327, 5.4248700142, 1.9780100584, 1.9502500296, 3.1816799641, 4.9048600197, 10.0552997589, 4.4857997894, 4.6043200493, 5.661270141599999, 4.5994501113999995, 6.2699699402, 6.867169857, 1.7323199511, 2.2079100609, 5.0331001282, 2.9217100143, 2.029599905, 11.4228000641, 3.2257800102, 4.8731899262, 8.3457698822, 7.281129837000001, 4.4034099579, 4.7857899666, 4.3495597839, 3.5062499045999997, 2.5157999992, 8.0858402252, 4.9171600342, 3.3622100352999995, 3.9853301048, 5.1931200028]], ["Spine Area", "Spine Area", "Spine Area"], ["new_subset", "new_subset-1", "new_subset-2"]], "jsonrpc": "2.0", "method": "statSort", "id": 1}';
  send.raw.string(stats_socket, msg_compare_real);
  result = receive.string(stats_socket);
  result <- fromJSON(result);
  print(result);
}


###########################################################################################################
###########################################################################################################
##################################### FUNCION MAIN ########################################################
###########################################################################################################
###########################################################################################################

msg_compare_two <- 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# Generamos datos de distribucion log normal ######################
datos_distribucion <- rlnorm(1000,4.3245,0.1345421);


# Iniciamos contexto y socket por puerto 8888
context = init.context();
control_socket = init.socket(context,"ZMQ_REP");
bind.socket(control_socket,paste("tcp://127.0.0.1:",8888,sep=""));


# Recibimos servicios del Stats y respondemos ACK
msg = receive.string(control_socket);
msg <- fromJSON(msg);
ack <- JSONRPC.SuccessResponse(list(),msg$id);
id_service <- msg$id;
send.raw.string(control_socket, ack);


# Creamos socket por el puerto indicado por Stats
stats_socket = init.socket(context,"ZMQ_REQ");
connect.socket(stats_socket,msg$params$endpoint);


# Ejecutamos las pruebas
#prueba_1(stats_socket,msg_compare_two);
#prueba_2(stats_socket,datos_distribucion,id_service);
#distribuciones <- prueba_3(stats_socket,datos_distribucion,id_service);
#prueba_4(stats_socket,datos_distribucion,distribuciones,id_service);
#prueba_5(stats_socket);
#prueba_6(stats_socket);
#prueba_7(stats_socket);
#prueba_8(stats_socket,datos_distribucion);

#prueba_9(stats_socket,datos_distribucion);
#prueba_10(stats_socket);

#prueba_11(stats_socket,datos_distribucion);

#prueba_12(stats_socket);

prueba_13(stats_socket);