def Req_3(analyzer, initialDate, finalDate):
"""
Retorna el numero de crimenes en un rago de fechas.
"""
dicc={}
cont=0
if om.keys(analyzer['dateIndex'], initialDate, finalDate)==None:
print("")
else:
lst = om.keys(analyzer['dateIndex'], initialDate, finalDate)
iterator= it.newIterator(lst)
while it.hasNext(iterator):
crime= it.next(iterator)
date2= datetime.datetime.strptime(str(crime), "%Y-%m-%d")
llave= om.get(analyzer["dateIndex"], date2.date())
entry=me.getValue(llave)
cont+=lt.size(entry["lstcrimes"])
iterator2 = it.newIterator(entry['lstcrimes'])
while it.hasNext(iterator2):
crime2 = it.next(iterator2)
estado = str(crime2['Severity'])
if estado in dicc:
dicc[estado] += 1
else:
dicc[estado] = 1
l = (max(dicc.values()))
for i in dicc:
if l == dicc[i]:
ve = "\nLa categoria con más accidentes en el rango es: " + i + ' con una cantidad de: ' + str(dicc[i])
print(ve)
print("La cantidad de accidentes en el rango dado fue de: " + str(cont))
return lst
def auxiliardelaauxiliar(catalog, initial_date, final_date):
"""
Retorna una tupla dependiendo si el rango abarca uno o dos años
"""
initial_year = str(initial_date.year)
final_year = str(final_date.year)
initial_date_accidents = om.contains(catalog[initial_year], initial_date)
final_date_accidents = om.contains(catalog[final_year], final_date)
i = 0
if i == 0 and initial_date_accidents and final_date_accidents:
if initial_year == final_year:
keylow = om.get(catalog[initial_year], initial_date)["key"]
keyhigh = om.get(catalog[initial_year], final_date)["key"]
return 0, om.keys(catalog[initial_year], keylow, keyhigh)
else:
keymax = om.maxKey(catalog[initial_year])
dates_initial_year = om.keys(catalog[initial_year], initial_date,
keymax)
keymin = om.minKey(catalog[final_year])
dates_final_year = om.keys(catalog[final_year], final_date, keymin)
return 1, dates_initial_year, dates_final_year
return None
def Requerimiento_3(analyzer_context, inst_min, inst_max, temp_min, temp_max):
instrumentalness = om.keys(analyzer_context["instrumentalness"], inst_min,
inst_max)
tempo = om.keys(analyzer_context["tempo"], temp_min, temp_max)
iterador = instrumentalness['first']
fecha_mayor = iterador['info']
tracks = []
energia = []
while iterador['next'] != None:
iterador = iterador['next']
llave = iterador['info']
crimenes = me.getValue(
om.get(analyzer_context['instrumentalness'], llave))
c = it.newIterator(crimenes)
while it.hasNext(c):
n = it.next(c)
A = m.get(analyzer_context["eventos"], n)
B = me.getValue(A)
tracks.append(B["track_id"])
energia.append(B["instrumentalness"])
iterador_2 = tempo["first"]
informacion = iterador_2["info"]
tracks_2 = []
baile = []
while iterador_2["next"] != None:
iterador_2 = iterador_2["next"]
llave_2 = iterador_2["info"]
crimenes2 = me.getValue(om.get(analyzer_context['tempo'], llave_2))
c = it.newIterator(crimenes2)
while it.hasNext(c):
n = it.next(c)
A = m.get(analyzer_context["eventos"], n)
B = me.getValue(A)
tracks_2.append(B["track_id"])
baile.append(B["tempo"])
if len(tracks) == 0 or len(tracks_2) == 0:
resp = None
else:
list_3 = []
for z in tracks:
for b in tracks_2:
if z == b:
list_3.append(z)
unicos = set(list_3)
rand = random.sample(unicos, 5)
resp = []
for i in rand:
resp.append(
[i, energia[tracks.index(i)], baile[tracks_2.index(i)]])
return (resp, len(unicos))
def Requerimiento3(analyzer, minIns, maxIns, minTemp, maxTemp):
keys_in_range = om.keys(analyzer['instrumentalness'], minIns, maxIns)
mapa = analyzer['instrumentalness']
map_respuesta = om.newMap()
lista_tracks = lt.newList()
for i in range(lt.size(keys_in_range)):
key = lt.getElement(keys_in_range, i)
valores = om.get(mapa, key)
valores = me.getValue(valores)
for i in range(lt.size(valores)):
small = lt.getElement(valores, i)
if small['tempo'] >= minTemp and small['tempo'] <= maxTemp:
track_id = small['track_id']
exist = om.contains(map_respuesta, track_id)
if not exist:
tupla = small['instrumentalness'], small['tempo']
om.put(map_respuesta, track_id, tupla)
lt.addLast(lista_tracks, track_id)
print('Total of unique tracks in events: ' + str(lt.size(lista_tracks)))
i = 0
while i < 5:
rand = rd.randint(0, lt.size(lista_tracks))
track = lt.getElement(lista_tracks, rand)
tupla_f = om.get(map_respuesta, track)
tupla_f = me.getValue(tupla_f)
print('Track ' + str(i + 1) + ' :' + str(track) +
' with instrumentalness of ' + str(tupla_f[0]) +
' and tempo of ' + str(tupla_f[1]))
i += 1
def getBestMTaxisByRange(analyzer, initDate, finalDate, M):
dateslist = om.keys(analyzer['DateIndex'], initDate, finalDate)
if lt.isEmpty(dateslist):
return 0
iterator = it.newIterator(dateslist)
pointdic = {}
while it.hasNext(iterator):
date = it.next(iterator)
dictaxis = me.getValue(om.get(analyzer["DateIndex"], date))
for tid in dictaxis:
if tid not in pointdic:
pointdic[tid] = {
"miles": 0,
"total": 0,
"services": 0,
"points": 0
}
pointdic[tid]["miles"] += dictaxis[tid]["miles"]
pointdic[tid]["total"] += dictaxis[tid]["total"]
pointdic[tid]["services"] += dictaxis[tid]["services"]
if pointdic[tid]["total"] != 0:
pointdic[tid]["points"] = pointdic[tid]["miles"] * pointdic[
tid]["services"] / pointdic[tid]["total"]
qeue = pq.newMinPQ(cmpfunction=compareDegreeMax)
for taxi in pointdic:
points = pointdic[taxi]["points"]
pq.insert(qeue, {"id": taxi, "points": points})
return qeue
def findBydate(map, key):
"""
Busca los accidentes menores que una fecha.
"""
try:
min_key = om.minKey(map)
rank = om.keys(map, min_key, key)
iterator1 = it.newIterator(rank)
buckets = lt.newList(datastructure='SINGLE_LINKED')
while it.hasNext(iterator1):
key = it.next(iterator1)
entry = om.get(map, key)
value = me.getValue(entry)
lt.addLast(buckets, value)
#parte dos
total_accidents = 0
max_accident = {'size': 0, 'date': None}
iterator2 = it.newIterator(buckets)
while it.hasNext(iterator2):
value = it.next(iterator2)
lst = value['lstaccident']
size = int(lt.size(lst))
if size > max_accident['size']:
max_accident['size'] = size
max_accident['date'] = value['date']
total_accidents = total_accidents + size
return (max_accident, total_accidents)
except:
return None
def Mestudiar(cont, instmin, instmax, tempmin, tempmax):
tempo = om.keys(cont['tempo'], tempmin, tempmax)
lista = lt.newList()
final = {}
contador = 0
#recorre el tempo que tiene solo el rango, busca que tengan el inst requerido
for x in lt.iterator(tempo):
r = om.get(cont['tempo'], x)
valor = r['value']
real = valor['first']['info']
for i in real:
if type(i)==str:
pos = lt.isPresent(cont['lstSongs'],i )
cancion = lt.getElement(cont['lstSongs'], pos)
inst = cancion['instrumentalness']
if float(inst)>= instmin and float(inst)<= instmax:
final[i] = (inst, x )
contador+= 1
lt.addLast(lista, i)
#recorre genera 5 numeros aletorios y retorna la info de esas canciones
print('Total de canciones únicas: ', contador)
contador = 0
lista_numeros = []
while contador<5:
numero = random.randint(0,lt.size(lista))
if numero not in lista_numeros:
contador+=1
lista_numeros.append(numero)
cancion = lt.getElement(lista, numero)
info = final[cancion]
print('\n Track', contador, ': ', cancion, 'con una instumentalidad de ',info[0], 'y un tempo de ', info[1] )
def getAccidentsByRange(analyzer, initialDate, finalDate):
"""
Retorna el numero de crimenes en un rago de fechas.
"""
dicc = {}
dicct = {}
lst = om.keys(analyzer['dateIndex'], initialDate, finalDate)
iterator = it.newIterator(lst)
while it.hasNext(iterator):
crime = it.next(iterator)
date2 = datetime.datetime.strptime(str(crime), '%Y-%m-%d')
llave = om.get(analyzer['dateIndex'], date2.date())
entry = me.getValue(llave)
fecha = str(crime)
if fecha not in dicct:
dicct[fecha] = lt.size(entry['lstcrimes'])
iterator2 = it.newIterator(entry['lstcrimes'])
while it.hasNext(iterator2):
crime2 = it.next(iterator2)
estado = crime2['State']
if estado in dicc:
dicc[estado] += 1
else:
dicc[estado] = 1
m = (max(dicct.values()))
for i in dicct:
if m == dicct[i]:
va = "\nLa fecha con más accidentes en el rango es: " + i + ' con una cantidad de: ' + str(dicct[i])
print(va)
l = (max(dicc.values()))
for i in dicc:
if l == dicc[i]:
ve = "\nEl estado con más accidentes en el rango es: " + i + ' con una cantidad de: ' + str(dicc[i])
print(ve)
return None
def topPuntosTaxiMultiple(analyzer, dateIni, dateFin, top):
dateanalyzed1 = om.get(analyzer['dates'], dateIni)
dateanalyzed2 = om.get(analyzer['dates'], dateFin)
if dateanalyzed1["key"] is not None and dateanalyzed2["key"]:
valor = om.keys(analyzer["dates"], dateIni, dateFin)
iterador = it.newIterator(valor)
taxis = {}
topRangoTaxis = lt.newList("ARRAY_LIST")
num = 1
while it.hasNext(iterador):
fecha = it.next(iterador)
lista = topPuntosTaxiSingle(analyzer, fecha, top)
iterador2 = it.newIterator(lista)
while it.hasNext(iterador2):
taxi = it.next(iterador2)
if str(taxi.keys()) in str(taxis.keys()):
taxis[str(taxi.keys())] += float(taxi.values())
else:
taxis.update(taxi)
while num <= top:
resultado = maxMinDict.maxDicc(taxis)
inp = {resultado: taxis[resultado]}
lt.addLast(topRangoTaxis, inp)
taxis.pop(resultado)
num += 1
return topRangoTaxis
else:
return None
def getAccidentsByHourRange(analizer, initial_hour, final_hour):
fechas = om.keys(analizer['hourIndex'], initial_hour, final_hour)
cant_fechas = lt.size(fechas)
categorias = m.newMap(numelements=0,
maptype='CHAINING',
loadfactor=0.5,
comparefunction=comparar_categorias)
cant_accidentes = 0
i = 1
while i <= cant_fechas:
llave = lt.getElement(fechas, i)
arbol = om.get(analizer['hourIndex'], llave)
severityIndex = arbol['value']['severityIndex']
llaves_severityIndex = m.keySet(severityIndex)
j = 1
while j <= lt.size(llaves_severityIndex):
categoria = lt.getElement(llaves_severityIndex, j)
cat = m.get(severityIndex, categoria)
accidentes = lt.size(cat['value']['lstofseverities'])
cant_accidentes += accidentes
esta_categoria = m.contains(categorias, categoria)
if not esta_categoria:
m.put(categorias, categoria, 0)
cant = m.get(categorias, categoria)
cant = cant['value']
cant += accidentes
m.put(categorias, categoria, cant)
j += 1
i += 1
return cant_accidentes, categorias
def getAccidentstimeByRange(analyzer, initialDate, finalDate):
dicc = {}
cont = 0
lst = om.keys(analyzer['hoursIndex'], initialDate, finalDate)
iterator = it.newIterator(lst)
while it.hasNext(iterator):
crime = it.next(iterator)
date2 = datetime.datetime.strptime(str(crime), '%H:%M:%S')
llave = om.get(analyzer['hoursIndex'], date2.time())
entry = me.getValue(llave)
tiempo = str(crime)
cont += lt.size(entry['lstaccidents'])
iterator2 = it.newIterator(entry['lstaccidents'])
while it.hasNext(iterator2):
crime2 = it.next(iterator2)
estado = crime2['Severity']
if estado in dicc:
dicc[estado] += 1
else:
dicc[estado] = 1
print("En el rango con tiempo se obtuvieron los siguientes datos: \n")
for i in dicc:
if i == "1":
print("Con una severidad de " + i + " son " + str(dicc[i]) + " accidentes" + " con un porcentaje de: " + str(round((dicc[i]/cont), 2)*100) + "%")
if i == "2":
print("Con una severidad de " + i + " son " + str(dicc[i]) + " accidentes" + " con un porcentaje de: " + str(round((dicc[i]/cont), 2)*100) + "%")
if i == "3":
print("Con una severidad de " + i + " son " + str(dicc[i]) + " accidentes" + " con un porcentaje de: " + str(round((dicc[i]/cont), 2)*100) + "%")
if i == "4":
print("Con una severidad de " + i + " son " + str(dicc[i]) + " accidentes" + " con un porcentaje de: " + str(round((dicc[i]/cont), 2)*100) + "%")
print("\nTiene un total de: " + str(cont) + " accidentes")
return None
def getAccidentsBeforeDate(analyzer, finalDate):
initialDate = str(minKey(analyzer))
initialDate = datetime.datetime.strptime(initialDate, '%Y-%m-%d')
lst = om.keys(analyzer['dateIndex'], initialDate.date(), finalDate)
if initialDate.date() == finalDate:
return (0, "no hay fecha anterior")
else:
severity1 = 0
severity2 = 0
severity3 = 0
severity4 = 0
mostAccidentsDate = {'date': None, 'total': 0}
for pos in range(1, lt.size(lst)):
keyDate = lt.getElement(lst, pos)
severity1 += int(getAccidentsBySeverity(analyzer, keyDate, '1'))
severity2 += int(getAccidentsBySeverity(analyzer, keyDate, '2'))
severity3 += int(getAccidentsBySeverity(analyzer, keyDate, '3'))
severity4 += int(getAccidentsBySeverity(analyzer, keyDate, '4'))
severity1Date = int(getAccidentsBySeverity(analyzer, keyDate, '1'))
severity2Date = int(getAccidentsBySeverity(analyzer, keyDate, '2'))
severity3Date = int(getAccidentsBySeverity(analyzer, keyDate, '3'))
severity4Date = int(getAccidentsBySeverity(analyzer, keyDate, '4'))
totalDate = severity1Date + severity2Date + severity3Date + severity4Date
if totalDate >= mostAccidentsDate['total']:
mostAccidentsDate['date'] = keyDate
mostAccidentsDate['total'] = totalDate
total = severity1 + severity2 + severity3 + severity4
return (total, mostAccidentsDate['date'])
def estados_en_un_rango(analyzer, initialDate, finalDate):
lst = om.keys(analyzer["fechas_accidente"], initialDate, finalDate)
lstiterator = it.newIterator(lst)
estados = {}
fecha = ""
mayor = 0
while (it.hasNext(lstiterator)):
lstdate = it.next(lstiterator)
acc = om.get(analyzer["fechas_accidente"], lstdate)
lda = me.getValue(acc)
size_total = 0
keys = m.keySet(lda["estado_del_accidente"])
itera = it.newIterator(keys)
while (it.hasNext(itera)):
lstk = it.next(itera)
parej = m.get(lda["estado_del_accidente"], lstk)
valu = me.getValue(parej)
size = lt.size(valu["lista_de_accidentes"])
size_total += size
if lstk in estados:
estados[lstk] += size
else:
estados[lstk] = size
if size_total > mayor:
fecha = lstdate
mayor = size_total
estad = mayor_valor(estados)
return (fecha, estad)
def AccidentesPorHora(analyzer, HoraInicial, HoraFinal):
HoraInicial = AproximacionHora(HoraInicial)
HoraFinal = AproximacionHora(HoraFinal)
ListaHoras = om.keys(analyzer["Horas"], HoraInicial, HoraFinal)
Severity1 = 0
Severity2 = 0
Severity3 = 0
Severity4 = 0
for i in range(1, (lt.size(ListaHoras) + 1)):
Hora = lt.getElement(ListaHoras, i)
Pareja = om.get(analyzer["Horas"], Hora)
Accidente1 = me.getValue(Pareja)
for j in range(1, (lt.size(Accidente1) + 1)):
Accidente = lt.getElement(Accidente1, j)
if Accidente["Severity"] == "1":
Severity1 += 1
elif Accidente["Severity"] == "2":
Severity2 += 1
elif Accidente["Severity"] == "3":
Severity3 += 1
else:
Accidente["Severity"] == "4"
Severity4 += 1
Total = Severity1 + Severity2 + Severity3 + Severity4
Retorno = lt.newList("ARRAY_LIST", compareIds)
lt.addLast(Retorno, Severity1)
lt.addLast(Retorno, Severity2)
lt.addLast(Retorno, Severity3)
lt.addLast(Retorno, Severity4)
lt.addLast(Retorno, Total)
return Retorno
def getAccidentsHour(analyzer, dayin, dayend):
aDate = om.keys(analyzer['hour'],dayin,dayend)
iterator= it.newIterator(aDate)
sev = m.newMap(numelements=15, maptype='PROBING', comparefunction=compareSeverities)
cuantos=0
while (it.hasNext(iterator)):
info= it.next(iterator)
valor = om.get(analyzer['hour'],info)['value']
cuantos += lt.size(valor['accidents'])
llaves = m.keySet(valor['severities'])
iterator1= it.newIterator(llaves)
while(it.hasNext(iterator1)):
info1= it.next(iterator1)
val = m.get(valor['severities'], info1)['value']['listBySeverity']
entry = m.get(sev, info1)
if(entry is None):
dic={'severity': info1, 'cuantos':lt.size(val)}
m.put(sev,info1,dic)
else:
entry['value']['cuantos']+=lt.size(val)
data=" "
cuan=0
keys= m.keySet(sev)
ite=it.newIterator(keys)
while(it.hasNext(ite)):
inf=it.next(ite)
value = m.get(sev,inf)['value']['cuantos']
if(value>cuan):
cuan= value
data= inf
print("accidentes totales: "+str(cuantos)+", la severidad con mayor \n accidentes es : "+str(data)+ "con : "+str(cuan)+" accidentes.")
def getAccidentsByState(analyzer,initialDate,finalDate):
"""
Retorna una 'estructura' con los crimenes dentro de un rango
"""
lst = om.keys(analyzer["dateIndex"], initialDate, finalDate)
lstiterator = it.newIterator(lst)
most_accidents_date = lt.getElement(lst,1)
states_count = lt.newList("ARRAY_LIST", compareCount)
checklist = lt.newList("ARRAY_LIST", compareNames)
while it.hasNext(lstiterator):
date = it.next(lstiterator)
mapdate = om.get(analyzer["dateIndex"],date)
map = me.getValue(mapdate)
accidents = map["lstaccidents"]
if lt.size(accidents) > lt.size((me.getValue(om.get(analyzer["dateIndex"],most_accidents_date)))["lstaccidents"]):
most_accidents_date = date
statemap = map["StateIndex"]
count_states(statemap,states_count,checklist)
ins.selectionSort(states_count,greater_function)
return (lt.getElement(states_count,1), most_accidents_date)
def getPastAccidents(analyzer, date):
"""
Retorna el numero de crimenes en un antes de una fecha.
"""
lst = om.keys(analyzer['datePast'], om.minKey(analyzer['datePast']), date)
return lst
def requerimientoB(analyzer, FechaI, FechaF, FechaO):
ListaR = op.keys(analyzer["MapaId"], FechaI, FechaF)
ListaU = op.keys(analyzer["MapaId"], FechaO, FechaO)
if lt.isEmpty(ListaR) == True:
OrdenadaR = False
else:
PuntosR = Rango(ListaR, analyzer, False)
OrdenadaR = DiciaLista(PuntosR)
if lt.isEmpty(ListaU) == True:
OrdenadaU = False
else:
PuntosU = Rango(ListaU, analyzer, FechaO)
OrdenadaU = DiciaLista(PuntosU)
ListaFinal = lt.newList("ARRAY_LIST")
lt.addFirst(ListaFinal, OrdenadaU)
lt.addLast(ListaFinal, OrdenadaR)
return ListaFinal
def getRecommendedSongs(analyzer,minEnergy, maxEnergy,minDance, maxDance):
energyAux=[]
energySongs=om.keys(analyzer["char2"], minEnergy, maxEnergy)
s1=0
for value in lt.iterator(energySongs):
charValue = om.get(analyzer["char2"], value)
ids = me.getValue(charValue)["info"]
idValues = m.keySet(ids)
for key in lt.iterator(idValues):
if str(key) not in energyAux:
energyAux.append(key)
s1+=1
danceAux=[]
danceSongs=om.keys(analyzer["char3"], minDance, maxDance)
s2=0
for value in lt.iterator(danceSongs):
charValue = om.get(analyzer["char3"], value)
ids = me.getValue(charValue)["info"]
idValues = m.keySet(ids)
for key in lt.iterator(idValues):
if str(key) not in danceAux:
danceAux.append(key)
s2+=1
##comparando las dos listas
combined=combinedList(energyAux,danceAux)
totSongs=0
for i in combined:
totSongs+=1
if totSongs>5:
randomIndex=random.choices(combined, k=5)
else:
randomIndex=random.choices(combined, k=totSongs)
return str(totSongs)+"\n5 pistas aleatorias dentro de los rangos:"+str(randomIndex)
def llavesEnRango(cont, initialDate, finalDate, anio):
llaves = {}
if anio['type'] == 0:
llaves[anio['anio']] = om.keys(cont[anio['anio']][0]['dateIndex'],
initialDate, finalDate)
else:
for i in range(int(str(initialDate)[:4]), int(str(finalDate)[:4]) + 1):
if str(i) in str(initialDate):
mayor = om.maxKey(cont[str(i)][0]['dateIndex'])
llaves[str(i)] = om.keys(cont[str(i)][0]['dateIndex'],
initialDate, mayor)
elif str(i) in str(finalDate):
menor = om.minKey(cont[str(i)][0]['dateIndex'])
llaves[str(i)] = om.keys(cont[str(i)][0]['dateIndex'], menor,
finalDate)
else:
llaves[str(i)] = om.keySet(cont[str(i)][0]['dateIndex'])
return llaves
def GetAccidentsBeforeDate(analyzer, BeforeDate):
BeforeDateYear = "201" + str(BeforeDate[3])
BeforeDateMonth = str(BeforeDate[5]) + str(BeforeDate[6])
BeforeDateDay = str(BeforeDate[8]) + str(BeforeDate[9])
MinDate = om.minKey(analyzer["Llaves"])
if BeforeDateDay == "01":
if BeforeDateMonth == "05" or BeforeDateMonth == "07" or BeforeDateMonth == "08" or BeforeDateMonth == "12":
BeforeDateDay = "30"
BeforeDateMonth = (str(
BeforeDateMonth[0])) + (str(int(BeforeDateMonth[1]) - 1))
elif BeforeDateMonth == "02" or BeforeDateMonth == "04" or BeforeDateMonth == "06" or BeforeDateMonth == "09" or BeforeDateMonth == "11":
BeforeDateDay = "31"
BeforeDateMonth = (str(
BeforeDateMonth[0])) + (str(int(BeforeDateMonth[1]) - 1))
elif BeforeDateMonth == "10":
BeforeDateDay = "30"
BeforeDateMonth = "09"
elif BeforeDateMonth == "03":
if BeforeDateYear == "2016":
BeforeDateDay = "29"
else:
BeforeDateDay = "28"
BeforeDateMonth = "02"
else:
BeforeDateDay = "31"
BeforeDateMonth = "12"
BeforeDateYear = "201" + str(int(BeforeDateYear[3]) - 1)
elif BeforeDateDay[0] == "0":
BeforeDateDay = str(BeforeDateDay[0]) + str(int(BeforeDateDay[1]) - 1)
elif BeforeDateDay == "10":
BeforeDateDay = "09"
else:
BeforeDateDay = str(int(BeforeDateDay) - 1)
MaxDate = BeforeDateYear + "-" + BeforeDateMonth + "-" + BeforeDateDay
Dates = (om.keys(analyzer["Llaves"], MinDate, MaxDate))
TotalAccidents = 0
MaxAccidents = 0
MostAccidentsDate = "YYYY-MM-DD"
for i in range(1, (lt.size(Dates) + 1)):
Date = lt.getElement(Dates, i)
Pair = om.get(analyzer["Llaves"], Date)
Accidents = me.getValue(Pair)
Number = lt.size(Accidents)
TotalAccidents = TotalAccidents + Number
if Number > MaxAccidents:
MaxAccidents = Number
MostAccidentsDate = Date
Retorno = lt.newList("ARRAY_LIST", compareIds)
lt.addLast(Retorno, TotalAccidents)
lt.addLast(Retorno, MostAccidentsDate)
return Retorno
def Requerimiento_1(analyzer_context, caracteristica, valor_minimo,
valor_maximo):
resp = []
if caracteristica in "instrumentalidad" or caracteristica in "instrumentalness":
llaves = om.keys(analyzer_context["instrumentalness"], valor_minimo,
valor_maximo)
elif caracteristica in "vivacidad" or caracteristica in "liveness":
llaves = om.keys(analyzer_context["liveness"], valor_minimo,
valor_maximo)
elif caracteristica in "speechiness":
llaves = om.keys(analyzer_context["speechiness"], valor_minimo,
valor_maximo)
elif caracteristica in "bailabilidad" or caracteristica in "danceability":
llaves = om.keys(analyzer_context["danceability"], valor_minimo,
valor_maximo)
elif caracteristica in "valencia" or caracteristica in "valence":
llaves = om.keys(analyzer_context["valence"], valor_minimo,
valor_maximo)
elif caracteristica in "volumen" or caracteristica in "loudness":
llaves = om.keys(analyzer_context["loudness"], valor_minimo,
valor_maximo)
elif caracteristica in "tempo":
llaves = om.keys(analyzer_context["tempo"], valor_minimo, valor_maximo)
elif caracteristica in "acústica" or caracteristica in "acousticness":
llaves = om.keys(analyzer_context["acousticness"], valor_minimo,
valor_maximo)
else:
resp = None
if resp != None:
iterador = llaves['first']
fecha_mayor = iterador['info']
crimenesmas = me.getValue(
om.get(analyzer_context[caracteristica], fecha_mayor))
val = []
users = []
cmas = it.newIterator(crimenesmas)
while it.hasNext(cmas):
n = it.next(cmas)
A = m.get(analyzer_context["eventos"], n)
while iterador['next'] != None:
iterador = iterador['next']
llave = iterador['info']
crimenes = me.getValue(
om.get(analyzer_context[caracteristica], llave))
c = it.newIterator(crimenes)
while it.hasNext(c):
n = it.next(c)
A = m.get(analyzer_context["eventos"], n)
B = me.getValue(A)
val.append(B["id"])
users.append(B["artist_id"])
unicos = set(users)
resp = (len(val), len(unicos))
return resp
def AccidentesPorZona(
analyzer,
RadioParametro,
LongitudParametro,
LatitudParametro,
):
TotalAccidentes = 0
Fechas = om.keys(analyzer["Llaves"], om.minKey(analyzer["Llaves"]),
om.maxKey(analyzer["Llaves"]))
Lunes = 0
Martes = 0
Miercoles = 0
Jueves = 0
Viernes = 0
Sabado = 0
Domingo = 0
for i in range(1, (lt.size(Fechas) + 1)):
Fecha = lt.getElement(Fechas, i)
Pareja = om.get(analyzer["Llaves"], Fecha)
Accidentes = me.getValue(Pareja)
Numero = lt.size(Accidentes)
TotalAccidentes = TotalAccidentes + Numero
for j in range(1, (lt.size(Accidentes) + 1)):
Accidente = lt.getElement(Accidentes, j)
if CalculoDeRadio(RadioParametro, LongitudParametro,
LatitudParametro, float(Accidente["Start_Lng"]),
float(Accidente["Start_Lat"])):
dia = Dia(Fecha)
if dia == "Lunes":
Lunes += 1
elif dia == "Martes":
Martes += 1
elif dia == "Miercoles":
Miercoles += 1
elif dia == "Jueves":
Jueves += 1
elif dia == "Viernes":
Viernes += 1
elif dia == "Sabado":
Sabado += 1
elif dia == "Domingo":
Domingo += 1
Total = Lunes + Martes + Miercoles + Jueves + Viernes + Sabado + Domingo
Retorno = lt.newList("ARRAY_LIST", compareIds)
lt.addLast(Retorno, Lunes)
lt.addLast(Retorno, Martes)
lt.addLast(Retorno, Miercoles)
lt.addLast(Retorno, Jueves)
lt.addLast(Retorno, Viernes)
lt.addLast(Retorno, Sabado)
lt.addLast(Retorno, Domingo)
lt.addLast(Retorno, Total)
return Retorno
def state_accidents(analyzer, fechaInicial, fechaFinal):
llaves = om.keys(analyzer['dateIndex'], fechaInicial, fechaFinal)
cant_llaves = lt.size(llaves)
tamanio = lt.size(
om.values(analyzer['dateIndex'], fechaInicial, fechaFinal))
i = 1
estados = m.newMap(numelements=0,
maptype='CHAINING',
loadfactor=0.5,
comparefunction=comparar_estados)
if (lt.isPresent(llaves, fechaFinal) == 0
or lt.isPresent(llaves, fechaInicial) == 0):
return None
else:
while i <= cant_llaves:
llave = lt.getElement(llaves, i)
tree = om.get(analyzer['dateIndex'], llave)
stateIndex = tree['value']['stateIndex']
llaves_stateIndex = m.keySet(stateIndex)
tamanio_llaves = lt.size(llaves_stateIndex)
j = 1
while j <= tamanio_llaves:
estado = lt.getElement(llaves_stateIndex, j)
stat = m.get(stateIndex, estado)
exist_state = m.contains(estados, estado)
if not exist_state:
m.put(estados, estado, 0)
cant = m.get(estados, estado)
cant = cant['value']
cant += tamanio
m.put(estados, estado, cant)
j += 1
i += 1
z = 1
mayor = 0
stat = ' '
llaves_estados = m.keySet(estados)
while z <= lt.size(llaves_estados):
estadod = lt.getElement(llaves_estados, z)
valor = m.get(estados, estadod)
valor = valor['value']
if (valor > mayor):
mayor = valor
stat = estadod
z += 1
return stat
def total_entre_fechas(analyzer, fecha1, fecha2):
date1 = fecha_convertidor_consultas(fecha1)
date2 = fecha_convertidor_consultas(fecha2)
a = om.keys(analyzer["index"], date1, date2)
total = 0
it1 = lit.newIterator(a)
while lit.hasNext(it1):
n = lit.next(it1)
b = om.get(analyzer["index"], n)
c = me.getValue(b)
total += lt.size(c)
return total
def total_antes_de_una_fecha(analyzer, fecha):
date = fecha_convertidor_consultas(fecha)
a = om.keys(analyzer["index"], om.minKey(analyzer["index"]), date)
lt.removeLast(a)
total = 0
it1 = lit.newIterator(a)
while lit.hasNext(it1):
n = lit.next(it1)
b = om.get(analyzer["index"], n)
c = me.getValue(b)
total += lt.size(c)
return total
def req2(catalog, minEnergy, maxEnergy, minDanceability, maxDanceability):
canciones = mp.newMap(maptype= "PROBING", loadfactor= 0.3)
rangoEnergy = maxEnergy - minEnergy
rangoDanceability = maxDanceability - minDanceability
if rangoEnergy <= rangoDanceability:
categoria = "energy"
categoria1 = "danceability"
min = minDanceability
max = maxDanceability
llaves = om.keys(catalog["energy"], minEnergy, maxEnergy)
else:
categoria = "danceability"
categoria1 = "energy"
min = minEnergy
max = maxEnergy
llaves = om.keys(catalog["danceability"], minDanceability, maxDanceability)
for llave in lt.iterator(llaves):
entry = om.get(catalog[categoria], llave)
eventos = me.getValue(entry)
for evento in lt.iterator(eventos):
track = lt.getElement(catalog["lista_canciones"], evento)
category = track[categoria1]
if category >= min and category <= max:
mp.put(canciones, track["track_id"], track)
return canciones
def req3(catalog, minInstrumentalness, maxInstrumentalness, minTempo, maxTempo):
canciones = mp.newMap(maptype= "PROBING", loadfactor= 0.3)
rangoInstrumentalness = maxInstrumentalness - minInstrumentalness
rangoTempo = maxTempo - minTempo
if rangoTempo <= rangoInstrumentalness:
categoria = "tempo"
categoria1 = "instrumentalness"
min = minInstrumentalness
max = maxInstrumentalness
llaves = om.keys(catalog["tempo"], minTempo, maxTempo)
else:
categoria = "instrumentalness"
categoria1 = "tempo"
min = minTempo
max = maxTempo
llaves = om.keys(catalog["instrumentalness"], minInstrumentalness, maxInstrumentalness)
for llave in lt.iterator(llaves):
entry = om.get(catalog[categoria], llave)
eventos = me.getValue(entry)
for evento in lt.iterator(eventos):
track = lt.getElement(catalog["lista_canciones"], evento)
category = track[categoria1]
if category >= min and category <= max:
mp.put(canciones, track["track_id"], track)
return canciones
def Requerimiento_5(hora_min, hora_max, analyzer_context):
hora_menor = hora_convertidor_consultas(hora_min)
hora_mayor = hora_convertidor_consultas(hora_max)
llaves = om.keys(analyzer_context["created_at"], hora_menor, hora_mayor)
iterador_2 = llaves["first"]
informacion = iterador_2["info"]
usuarios_2 = []
tempos = []
while iterador_2["next"] != None:
iterador_2 = iterador_2["next"]
llave_2 = iterador_2["info"]
crimenes2 = me.getValue(om.get(analyzer_context['created_at'],
llave_2))
c = it.newIterator(crimenes2)
while it.hasNext(c):
n = it.next(c)
A = m.get(analyzer_context["eventos"], n)
B = me.getValue(A)
usuarios_2.append(float(B["tempo"]))
tempos.append(str(B["track_id"]))
géneros = []
for i in usuarios_2:
if i >= 60 and i <= 90:
géneros.append("Reggae")
if i >= 70 and i <= 100:
géneros.append("Down-tempo")
if i >= 90 and i <= 120:
géneros.append("Chill-out")
if i >= 85 and i <= 115:
géneros.append("Hip-hop")
if i >= 120 and i <= 125:
géneros.append("Jazz and Funk")
if i >= 100 and i <= 130:
géneros.append("Pop")
if i >= 60 and i <= 80:
géneros.append("R&B")
if i >= 110 and i <= 140:
géneros.append("Rock")
if i >= 100 and i <= 160:
géneros.append("Metal")
h = defaultdict(list)
for k, v in zip(géneros, tempos):
h[k].append(v)
x = {
k: v
for k, v in sorted(
h.items(), key=lambda item: len(item[1]), reverse=True)
}
longi = []
for i in x:
longi.append(len(h[i]))
return (x, longi)
def Requerimiento4(analyzer, str_generos):
generos_lower = str_generos.lower()
lista_generos = generos_lower.split(',')
final = lt.newList()
for i in range(len(lista_generos)):
lista_genero = lt.newList()
mapa = analyzer['genres']
busqueda_map = om.get(mapa, lista_generos[i])
tupla = me.getValue(busqueda_map)
name = me.getKey(busqueda_map)
minTemp = int(tupla[0])
maxTemp = int(tupla[1])
keys_in_range = om.keys(analyzer['tempo'], minTemp, maxTemp)
events_parciales = lt.size(keys_in_range)
lt.addLast(lista_genero, events_parciales)
mp_artistas = om.newMap()
lt_artistas = lt.newList()
for i in range(lt.size(keys_in_range)):
key = float(lt.getElement(keys_in_range, i))
mapa_tempo = analyzer['tempo']
valores = om.get(mapa_tempo, key)
valores = me.getValue(valores)
for i in range(lt.size(valores)):
valor = lt.getElement(valores, i)
exist = om.contains(mp_artistas, valor['artist_id'])
if not exist:
artist_id = valor['artist_id']
om.put(mp_artistas, artist_id, valor)
while lt.size(lt_artistas) <= 10:
lt.addLast(lt_artistas, artist_id)
artistas_parciales = om.size(mp_artistas)
lt_final_genero = [
name, minTemp, maxTemp, events_parciales, artistas_parciales,
lt_artistas
]
lt.addLast(final, lt_final_genero)
max_eventos = 0
for i in range(lt.size(final)):
listilla = lt.getElement(final, i)
max_eventos += int(listilla[3])
requerimiento_4_print(max_eventos, final)
