def gpu_load_names(**kwargs):
""" Loads names used for renaming the banks
Returns
-------
GPU DataFrame
"""
chronometer = Chronometer.makeStarted()
cols = ['seller_name', 'new_seller_name']
dtypes = OrderedDict([
("seller_name", "category"),
("new_seller_name", "category"),
])
names_table = pyblazing.create_table(table_name='names',
type=get_type_schema(col_names_path),
path=col_names_path,
delimiter='|',
names=cols,
dtypes=get_dtype_values(dtypes),
skip_rows=1)
Chronometer.show(chronometer, 'Read Names CSV')
return names_table
def create_delinq_features(table, **kwargs):
chronometer = Chronometer.makeStarted()
query = """SELECT loan_id,
min(monthly_reporting_period) as delinquency_30
FROM main.perf where current_loan_delinquency_status >= 1 group by loan_id"""
result_delinq_30 = pyblazing.run_query(query, {table.name: table.columns})
query = """SELECT loan_id,
min(monthly_reporting_period) as delinquency_90
FROM main.perf where current_loan_delinquency_status >= 3 group by loan_id"""
result_delinq_90 = pyblazing.run_query(query, {table.name: table.columns})
query = """SELECT loan_id,
min(monthly_reporting_period) as delinquency_180
FROM main.perf where current_loan_delinquency_status >= 6 group by loan_id"""
result_delinq_180 = pyblazing.run_query(query, {table.name: table.columns})
new_tables = {
"delinq_30": result_delinq_30.columns,
"delinq_90": result_delinq_90.columns,
"delinq_180": result_delinq_180.columns
}
query = """SELECT d30.loan_id, delinquency_30, COALESCE(delinquency_90, DATE '1970-01-01') as delinquency_90,
COALESCE(delinquency_180, DATE '1970-01-01') as delinquency_180 FROM main.delinq_30 as d30
LEFT OUTER JOIN main.delinq_90 as d90 ON d30.loan_id = d90.loan_id
LEFT OUTER JOIN main.delinq_180 as d180 ON d30.loan_id = d180.loan_id"""
result_merge = pyblazing.run_query(query, new_tables)
Chronometer.show(chronometer, 'Create deliquency features')
return result_merge
def final_performance_delinquency(gdf, joined_df, **kwargs):
chronometer = Chronometer.makeStarted()
tables = {"gdf": gdf, "joined_df": joined_df}
query = """SELECT g.loan_id, current_actual_upb, current_loan_delinquency_status, delinquency_12, interest_rate, loan_age, mod_flag, msa, non_interest_bearing_upb
FROM main.gdf as g LEFT OUTER JOIN main.joined_df as j
ON g.loan_id = j.loan_id and EXTRACT(YEAR FROM g.monthly_reporting_period) = j.timestamp_year and EXTRACT(MONTH FROM g.monthly_reporting_period) = j.timestamp_month """
results = pyblazing.run_query(query, tables)
Chronometer.show(chronometer, 'Final performance delinquency')
return results
def join_perf_acq_gdfs(perf, acq, **kwargs):
chronometer = Chronometer.makeStarted()
tables = {"perf": perf, "acq": acq}
query = """SELECT p.loan_id, current_actual_upb, current_loan_delinquency_status, delinquency_12, interest_rate, loan_age, mod_flag, msa, non_interest_bearing_upb,
borrower_credit_score, dti, first_home_buyer, loan_purpose, mortgage_insurance_percent, num_borrowers, num_units, occupancy_status,
orig_channel, orig_cltv, orig_date, orig_interest_rate, orig_loan_term, orig_ltv, orig_upb, product_type, property_state, property_type,
relocation_mortgage_indicator, seller_name, zip FROM main.perf as p LEFT OUTER JOIN main.acq as a ON p.loan_id = a.loan_id"""
results = pyblazing.run_query(query, tables)
Chronometer.show(chronometer, 'Join performance acquitistion gdfs')
return results
def create_ever_features(table, **kwargs):
chronometer = Chronometer.makeStarted()
query = """SELECT loan_id,
max(current_loan_delinquency_status) >= 1 as ever_30,
max(current_loan_delinquency_status) >= 3 as ever_90,
max(current_loan_delinquency_status) >= 6 as ever_180
FROM main.perf group by loan_id"""
result = pyblazing.run_query(query, {table.name: table.columns})
Chronometer.show(chronometer, 'Create Ever Features')
return result
def combine_joined_12_mon(joined_df, testdf, **kwargs):
chronometer = Chronometer.makeStarted()
tables = {"joined_df": joined_df, "testdf": testdf}
query = """SELECT j.loan_id, j.mrp_timestamp, j.timestamp_month, j.timestamp_year,
j.ever_30, j.ever_90, j.ever_180, j.delinquency_30, j.delinquency_90, j.delinquency_180,
t.delinquency_12, t.upb_12
FROM main.joined_df as j LEFT OUTER JOIN main.testdf as t
ON j.loan_id = t.loan_id and j.timestamp_year = t.timestamp_year and j.timestamp_month = t.timestamp_month"""
results = pyblazing.run_query(query, tables)
Chronometer.show(chronometer, 'Combine joind 12 month')
return results
def join_ever_delinq_features(everdf_tmp, delinq_merge, **kwargs):
chronometer = Chronometer.makeStarted()
tables = {"everdf": everdf_tmp, "delinq": delinq_merge}
query = """SELECT everdf.loan_id as loan_id, ever_30, ever_90, ever_180,
COALESCE(delinquency_30, DATE '1970-01-01') as delinquency_30,
COALESCE(delinquency_90, DATE '1970-01-01') as delinquency_90,
COALESCE(delinquency_180, DATE '1970-01-01') as delinquency_180 FROM main.everdf as everdf
LEFT OUTER JOIN main.delinq as delinq ON everdf.loan_id = delinq.loan_id"""
result_merge = pyblazing.run_query(query, tables)
Chronometer.show(chronometer, 'Create ever deliquency features')
return result_merge
def last_mile_cleaning(df, **kwargs):
chronometer = Chronometer.makeStarted()
for col, dtype in df.dtypes.iteritems():
if str(dtype) == 'category':
df[col] = df[col].cat.codes
df[col] = df[col].astype('float32')
df['delinquency_12'] = df['delinquency_12'] > 0
df['delinquency_12'] = df['delinquency_12'].fillna(False).astype('int32')
for column in df.columns:
df[column] = df[column].fillna(-1)
Chronometer.show(chronometer, 'Last mile cleaning')
return df
def gpu_load_acquisition_csv(acquisition_path, **kwargs):
""" Loads acquisition data
Returns
-------
GPU DataFrame
"""
chronometer = Chronometer.makeStarted()
cols = [
'loan_id', 'orig_channel', 'seller_name', 'orig_interest_rate',
'orig_upb', 'orig_loan_term', 'orig_date', 'first_pay_date',
'orig_ltv', 'orig_cltv', 'num_borrowers', 'dti',
'borrower_credit_score', 'first_home_buyer', 'loan_purpose',
'property_type', 'num_units', 'occupancy_status', 'property_state',
'zip', 'mortgage_insurance_percent', 'product_type',
'coborrow_credit_score', 'mortgage_insurance_type',
'relocation_mortgage_indicator'
]
dtypes = OrderedDict([("loan_id", "int64"), ("orig_channel", "category"),
("seller_name", "category"),
("orig_interest_rate", "float64"),
("orig_upb", "int64"), ("orig_loan_term", "int64"),
("orig_date", "date"), ("first_pay_date", "date"),
("orig_ltv", "float64"), ("orig_cltv", "float64"),
("num_borrowers", "float64"), ("dti", "float64"),
("borrower_credit_score", "float64"),
("first_home_buyer", "category"),
("loan_purpose", "category"),
("property_type", "category"),
("num_units", "int64"),
("occupancy_status", "category"),
("property_state", "category"), ("zip", "int64"),
("mortgage_insurance_percent", "float64"),
("product_type", "category"),
("coborrow_credit_score", "float64"),
("mortgage_insurance_type", "float64"),
("relocation_mortgage_indicator", "category")])
print(acquisition_path)
acquisition_table = pyblazing.create_table(
table_name='acq',
type=get_type_schema(acquisition_path),
path=acquisition_path,
delimiter='|',
names=cols,
dtypes=get_dtype_values(dtypes),
skip_rows=1)
Chronometer.show(chronometer, 'Read Acquisition CSV')
return acquisition_table
def __init__(self, s, lmbda, mu, nq):
self.lmbda = lmbda
self.nq = nq
self.n = nq
self.mu = mu
self.s = s
self.ei = 0
self.chronometer = Chronometer()
self.queue = QueueTP(self.lmbda, self.nq, self.chronometer)
self.servers = []
# self.statistic = Statistics(lmbda, mu, s, nq, nq)
for i in range(0, s):
self.servers.append(Server(self.mu, self.queue, self.chronometer))
def merge_names(names_table, acq_table):
chronometer = Chronometer.makeStarted()
tables = {
names_table.name: names_table.columns,
acq_table.name: acq_table.columns
}
query = """SELECT loan_id, orig_channel, orig_interest_rate, orig_upb, orig_loan_term,
orig_date, first_pay_date, orig_ltv, orig_cltv, num_borrowers, dti, borrower_credit_score,
first_home_buyer, loan_purpose, property_type, num_units, occupancy_status, property_state,
zip, mortgage_insurance_percent, product_type, coborrow_credit_score, mortgage_insurance_type,
relocation_mortgage_indicator, new_seller_name as seller_name
FROM main.acq as a LEFT OUTER JOIN main.names as n ON a.seller_name = n.seller_name"""
result = pyblazing.run_query(query, tables)
Chronometer.show(chronometer, 'Create Acquisition (Merge Names)')
return result
def read_data(n=415):
with Chronometer() as cr:
k = 1
imageDTOs = []
with open("input/truth.txt", "r") as reader:
length = int(reader.readline())
if n < length:
length = n
for _ in range(length):
n = reader.readline()
n = n.split(",")
m = int(n[1])
n = int(n[0])
matrix = []
for line in range(n):
matrix_line = []
line = reader.readline()
line = line.split(",")
for j in range(m):
matrix_line.append(int(line[j]))
matrix.append(matrix_line)
truth = reader.readline()
truth = truth[:-1]
imageDTOs.append(ImageDTO(matrix, truth))
if k % 5 == 0:
print("#" + str(k))
k += 1
print('Reading done..\nElapsed time: {:.3f} seconds\nTotal length: {}'.
format(float(cr), len(imageDTOs)))
return imageDTOs
def acquisition(items, **kwargs):
import emoji
from prompt_toolkit import print_formatted_text
from prompt_toolkit.patch_stdout import patch_stdout
from prompt_toolkit.shortcuts.progress_bar import ProgressBar
def progress(bar):
acq = bar.data
acq.start()
for result in bar:
result.Release()
cameras, configs, opts, acqs = zip(*items)
movie_camera = emoji.EMOJI_ALIAS_UNICODE[":movie_camera:"]
title = f"{movie_camera} Acquiring on " + ", ".join(str(c) for c in cameras)
pbar = ProgressBar(title=title)
chrono = Chronometer()
pool = concurrent.futures.ThreadPoolExecutor(max_workers=len(cameras))
try:
with contextlib.ExitStack() as stack:
[stack.enter_context(camera) for camera in cameras]
[stack.enter_context(acq) for acq in acqs]
stack.enter_context(pbar)
bars = [
pbar(acq, label=f'{acq.camera}: ', total=acq.nb_frames)
for acq in acqs
]
stack.enter_context(chrono)
for result in pool.map(progress, bars):
pass
finally:
print_formatted_text(f"Elapsed time: {chrono.elapsed:.6f}s")
def camera_acquisition(ctx, trigger, nb_frames, exposure, latency, roi, binning, pixel_format):
"""do an acquisition on the selected camera"""
import emoji
from prompt_toolkit import print_formatted_text
from prompt_toolkit.patch_stdout import patch_stdout
from prompt_toolkit.shortcuts.progress_bar import ProgressBar
camera = ctx.obj["camera"]
config = ctx.obj["config"]
trigger = trigger.lower()
config.trigger_source = trigger
total_time = nb_frames * (exposure + latency)
if roi is not None:
roi = [int(i) for i in roi.split(",")]
assert len(roi) == 4
movie_camera = emoji.emojize(":movie_camera:")
title = f"{movie_camera} Acquiring {nb_frames} frames"
if nb_frames:
total_time = nb_frames * (exposure + latency)
title += f" (Total acq. time: {total_time:.3f}s)"
acq = Acquisition(
camera, nb_frames, exposure, latency,
roi=roi, trigger=trigger, binning=binning, pixel_format=pixel_format
)
prog_bar = ProgressBar(title=title)
chrono = Chronometer()
try:
with camera, acq, prog_bar:
bar = prog_bar(label=f"{camera}: ", total=nb_frames)
acq.start()
with Chronometer() as chrono:
frame_nb = 0
while frame_nb < nb_frames or not nb_frames:
if trigger == "software":
pause(
"Press any key to trigger acquisition "
f"{frame_nb+1} of {nb_frames}... "
)
result = next(acq)
result.Release()
frame_nb += 1
bar.items_completed = frame_nb
prog_bar.invalidate()
finally:
print_formatted_text(f"Elapsed time: {chrono.elapsed:.6f}s")
def test_integration():
t = Chronometer()
t.start()
a = t.elapsed
time.sleep(0.002)
b = t.elapsed
assert b > a
t.stop()
c = t.elapsed
time.sleep(0.002)
d = t.elapsed
assert (d - c) < 0.000001
def create_12_mon_features_union(joined_df, **kwargs):
chronometer = Chronometer.makeStarted()
tables = {"joined_df": joined_df}
josh_mody_n_str = "timestamp_year * 12 + timestamp_month - 24000.0"
query = "SELECT loan_id, " + josh_mody_n_str + " as josh_mody_n, max(delinquency_12) as max_d12, min(upb_12) as min_upb_12 FROM main.joined_df as joined_df GROUP BY loan_id, " + josh_mody_n_str
mastertemp = pyblazing.run_query(query, tables)
all_temps = []
all_tokens = []
tables = {"joined_df": mastertemp.columns}
n_months = 12
for y in range(1, n_months + 1):
josh_mody_n_str = "floor((josh_mody_n - " + str(y) + ")/12.0)"
query = "SELECT loan_id, " + josh_mody_n_str + " as josh_mody_n, max(max_d12) > 3 as max_d12_gt3, min(min_upb_12) = 0 as min_upb_12_eq0, min(min_upb_12) as upb_12 FROM main.joined_df as joined_df GROUP BY loan_id, " + josh_mody_n_str
metaToken = pyblazing.run_query_get_token(query, tables)
all_tokens.append(metaToken)
for metaToken in all_tokens:
temp = pyblazing.run_query_get_results(metaToken)
all_temps.append(temp)
y = 1
tables2 = {"temp1": all_temps[0].columns}
union_query = "(SELECT loan_id, max_d12_gt3 + min_upb_12_eq0 as delinquency_12, upb_12, floor(((josh_mody_n * 12) + " + str(
24000 + (y - 1)) + ")/12) as timestamp_year, josh_mody_n * 0 + " + str(
y) + " as timestamp_month from main.temp" + str(y) + ")"
for y in range(2, n_months + 1):
tables2["temp" + str(y)] = all_temps[y - 1].columns
query = " UNION ALL (SELECT loan_id, max_d12_gt3 + min_upb_12_eq0 as delinquency_12, upb_12, floor(((josh_mody_n * 12) + " + str(
24000 +
(y - 1)) + ")/12) as timestamp_year, josh_mody_n * 0 + " + str(
y) + " as timestamp_month from main.temp" + str(y) + ")"
union_query = union_query + query
results = pyblazing.run_query(union_query, tables2)
Chronometer.show(chronometer, 'Create 12 month features once')
return results
def create_joined_df(gdf, everdf, **kwargs):
chronometer = Chronometer.makeStarted()
tables = {"perf": gdf, "everdf": everdf}
query = """SELECT perf.loan_id as loan_id,
perf.monthly_reporting_period as mrp_timestamp,
EXTRACT(MONTH FROM perf.monthly_reporting_period) as timestamp_month,
EXTRACT(YEAR FROM perf.monthly_reporting_period) as timestamp_year,
COALESCE(perf.current_loan_delinquency_status, -1) as delinquency_12,
COALESCE(perf.current_actual_upb, 999999999.9) as upb_12,
everdf.ever_30 as ever_30,
everdf.ever_90 as ever_90,
everdf.ever_180 as ever_180,
COALESCE(everdf.delinquency_30, DATE '1970-01-01') as delinquency_30,
COALESCE(everdf.delinquency_90, DATE '1970-01-01') as delinquency_90,
COALESCE(everdf.delinquency_180, DATE '1970-01-01') as delinquency_180
FROM main.perf as perf
LEFT OUTER JOIN main.everdf as everdf ON perf.loan_id = everdf.loan_id"""
results = pyblazing.run_query(query, tables)
Chronometer.show(chronometer, 'Create Joined DF')
return results
def sendFromOptions(self):
with Chronometer() as t:
self.conectar() #se não tiver -g ou -n então dá erro!
logging.warn('conectar() demorou {:.3f} seconds!'.format(float(t)))
if self.getContatoBol:
print(self.getContato())
logging.warn(
'print( self.getContato() ) demorou {:.3f} seconds!'.
format(float(t)))
if self.msg.c_name:
self.enviarMensagem(c_name=self.msg.c_name,
message=self.msg.message)
self.lockScreen(False)
logging.warn('sendFromOptions() demorou {:.3f} seconds!'.format(
float(t)))
def read_data_img(resize=-1):
with Chronometer() as cr:
mias = []
ddsm = []
# t = threading.Thread(target=read_mias_data, args=(mias, resize,))
t2 = threading.Thread(target=read_ddsm_data, args=(
ddsm,
resize,
))
t2.start()
# t.start()
# t.join()
t2.join()
imageDTOs = mias + ddsm
print('Reading done..\nElapsed time: {:.3f} seconds\nTotal length: {}'.
format(float(cr), len(imageDTOs)))
write_data(imageDTOs)
return imageDTOs
def hydrate(ids, path, filename):
"""
Hydrate tweets in order to update the data
"""
T = twarc.Twarc()
last_t = 0
with Chronometer() as t:
count = 0
hydrated_tweets = []
for tweet in T.hydrate(iter(ids)):
assert tweet['id_str']
count += 1
hydrated_tweets.append(tweet)
if (int(float(t)) % 10 == 0 and int(float(t)) != last_t):
print("Hydrated tweets:", len(hydrated_tweets))
last_t = int(float(t))
with jsonlines.open(path + filename, mode='w') as writer:
for obj in hydrated_tweets:
writer.write(obj)
return count, hydrated_tweets
def test_integration():
t = Chronometer()
t.start()
a = t.elapsed
time.sleep(0.002)
b = t.elapsed
assert b > a
t.stop()
c = t.elapsed
time.sleep(0.002)
d = t.elapsed
assert (d - c) < 0.000001
def upload_users():
"""
Uploads all the generated users profile to api/ucarpooling/users/
"""
try:
con = sqlite3.connect(settings.DATABASE)
con.row_factory = sqlite3.Row
cursorObj = con.cursor()
"""Building the query for retrieving all the users and their assigned profiles"""
querystring = Query \
.from_(Table(settings.DATABASE_TABLE_ALUMNI)) \
.join(Table(settings.DATABASE_TABLE_ELOQUENCE)) \
.on_field('uuid') \
.join(Table(settings.DATABASE_TABLE_SMOKER)) \
.on_field('uuid') \
.join(Table(settings.DATABASE_TABLE_MUSIC)) \
.on_field('uuid') \
.select('*')\
.limit(settings.LIMIT_USERS)
"""Executing the query"""
rows = cursorObj.execute(querystring.get_sql()).fetchall()
"""Iteraring for each row in the database for alumni"""
with Chronometer() as time_uploading:
for alumni in rows:
"""Building the body in a json-like format for the boy of the POST request"""
body = {
"email": f"{alumni[settings.FIELDNAME_UUID.lower()]}@mail.com",
"password": "******",
"first_name": str(alumni[settings.FIELDNAME_UUID.lower()]),
"last_name": str(alumni[settings.FIELDNAME_UUID.lower()]),
"ucarpoolingprofile": {
"sex": alumni[settings.FIELDNAME_SEX.lower()],
"smoker": True if alumni[settings.FIELDNAME_SMOKER.lower()] == 'Si' else False,
"musicTaste": alumni[settings.FIELDNAME_MUSIC_TASTE.lower()].split(", "),
"eloquenceLevel": get_eloquence_level(alumni[settings.FIELDNAME_ELOQUENCE.lower()])
}
}
"POST the alumni data to the API"
response = requests.post(
url=settings.USER_URL,
json=body,
headers={
"Authorization": f'Token {settings.UCARPOOLING_APP_TOKEN}' # Token of the Ucarpooling app
}
)
if response.status_code == 201:
helper.success_message(f'Uploaded successfully alumni {alumni[settings.FIELDNAME_UUID.lower()]}')
get_token(con, cursorObj, alumni)
else:
helper.error_message(f'Error uploading alumni {alumni[settings.FIELDNAME_UUID.lower()]} '
f'---- status code: {response.status_code}: {response.reason}')
"""Uploading ended"""
helper.info_message('=================UPLOADING ENDED=====================')
helper.detail_message('Uploading runtime: {:.3f} seconds'.format(float(time_uploading)))
except Error:
print(Error)
finally:
"""Closing the database connection"""
con.close()
def __init__(self):
# Inherits from the QWidget class
super().__init__()
#Setting font
self.setFont(QFont('Helvetica',25))
# Get path to the script
self.__dirtrs = os.path.dirname(os.path.abspath(__file__))
#Connection to the Rover model
self.__rover_model = ConnectionToModel()
#timer
self.__rover_timer = QtCore.QTimer(self)
self.__rover_timer.timeout.connect(self.updateRover)
self.__satellites = None
###### RIGHT PART OF THE WIDGET ######
# Start Button
self.__start_b = QPushButton('Start', self)
self.__start_b.setCheckable(True)
self.__start_b.setSizePolicy(QSizePolicy.MinimumExpanding,QSizePolicy.MinimumExpanding)
self.__start_b.toggled.connect(self.startRover)
# Config Button
self.__config_b = QPushButton('Config', self)
self.__config_b.setSizePolicy(QSizePolicy.MinimumExpanding,QSizePolicy.MinimumExpanding)
self.__config_b.clicked.connect(self.openConfig)
# Setting right part layout
right_layout = QHBoxLayout()
right_layout.addWidget(self.__start_b)
right_layout.addWidget(self.__config_b)
###### LEFT PART OF THE WIDGET ######
# Rover image
fig = QPixmap(self.__dirtrs +'/img/rover.png')
self.__icon = QLabel(self)
self.__icon.setPixmap(fig)
# Chrono
self.__chrono_rover = Chronometer()
# Setting left part layout
left_layout = QVBoxLayout()
left_layout.addWidget(self.__icon)
left_layout.addWidget(self.__chrono_rover)
###### LOWER PART OF THE WIDGET ######
# Position indicators
Sol_=QLabel('Sol:')
Sol_.setAlignment(QtCore.Qt.AlignRight)
Lat_=QLabel('Lat:')
Lat_.setAlignment(QtCore.Qt.AlignRight)
Lon_=QLabel('Lon:')
Lon_.setAlignment(QtCore.Qt.AlignRight)
Alt_=QLabel('Height:')
Alt_.setAlignment(QtCore.Qt.AlignRight)
# Calculated Position to be modified by updateRover()
self.__lSol=QLabel('')
self.__lLat=QLabel('')
self.__lLon=QLabel('')
self.__lHeight=QLabel('')
# Stream indicators
status = QLabel('Stream Status:')
status.setAlignment(QtCore.Qt.AlignLeft)
self.__stream_status = QLabel('Not Started')
self.__stream_status.setSizePolicy(QSizePolicy.Expanding,QSizePolicy.Minimum)
# Setting lower part layout
lower_layout = QHBoxLayout()
lower_layout.addWidget(Sol_)
lower_layout.addWidget(self.__lSol)
lower_layout.addWidget(Lat_)
lower_layout.addWidget(self.__lLat)
lower_layout.addWidget(Lon_)
lower_layout.addWidget(self.__lLon)
lower_layout.addWidget(Alt_)
lower_layout.addWidget(self.__lHeight)
lower_layout2 = QHBoxLayout()
lower_layout2.addWidget(status)
lower_layout2.addWidget(self.__stream_status)
##### SETTING THE GLOBAL LAYOUT ######
rover_layout1 = QHBoxLayout()
rover_layout1.addLayout(left_layout)
rover_layout1.addLayout(right_layout)
rover_layout = QVBoxLayout()
rover_layout.addLayout(rover_layout1)
rover_layout.addLayout(lower_layout)
rover_layout.addLayout(lower_layout2)
self.setLayout(rover_layout)
from sklearn import metrics from sklearn.cluster import DBSCAN import matplotlib.pyplot as plotter from sklearn.tree import DecisionTreeClassifier from sklearn.model_selection import train_test_split DEFAULT_STATION_BAUDRATE: int = 9600 # Baudrate Padrão para Comunicação Serial ou Bluetooth com os Slaves das Estações. DEFAULT_SUPERVISOR_BAUDRATE: int = 4800 # Baudrate Padrão para Comunicação Serial ou Bluetooth com o Slave Supervisor. DEFAULT_STATION_PORT: str = "/dev/ttyS6" # Porta Padrão para Comunicação Serial ou Bluetooth com os Slaves das Estações. DEFAULT_SUPERVISOR_PORT: str = "/dev/ttyS3" # Porta Padrão para Comunicação Serial ou Bluetooth com o Slave Supervisor. DATASET_FILE_PATH: str = "dataset.txt" # Arquivo nos quais estão contidos os dados para feed no Algoritmo DBSCAN. ERRORSET_FILE_PATH: str = "errorset.csv" # Arquivo de armazenamento dos erros encontrados para feed no modelo de classificação Decision Tree. timerStation: Chronometer = Chronometer( ) # Cronômetro para o Tempo gasto em cada Estação. stationThread: Thread = None # Thread que executa a Await-For-Response do Arduino das Estações. controlThread: Thread = None # Thread que controla a Await-For-Response para parada, enquanto a `stationThread` está ocupada com o DBSCAN. eventRoutine: bool = False # Flag para input de comandos. isRunning: bool = False # Indica o estado de execução do parâmetro para os laços das Threads. isControlActive: bool = False # Indica o estado da Thread de Controle. stationPort: Serial = None # Entrada de Comunicação Serial da Estação. supervisorPort: Serial = None # Entrada de Comunicação Serial do Supervisor. # Limit = Average + STD * Threshold -> Limite para Suspeitar Anomalia. threshold: float = 1 # Threshold - Parâmetro que multiplica o corte de desvio médio. avg: float = 4 # Average - Média dos valores de tempo do Dataset.
class TabRover(QWidget):
'''
Class TabRover is the sub widget that contains the rover launch,
configuration and results for the rover
Inherits from QWidget
Divided into a Right Part, a Left Part, a Upper Part and a Lower Part
Attributes:
private path dirtrs : directory of the script
private ConnectionToModel rover_model : connector to the Rover Model
private QTimer rover_timer : timer of the widget
private QPushButton start_b : button that launchs the acquisition
private QPushButton config_b : button that opens the Config Window
private QLabel icon : rover image
private Chronometer chrono_rover : chronometer taht appears on the UI for the rover
private QLabel lSol : indicates the mode of acquisition
private QLabel lLong : shows the calculated Longitude
private QLabel lLat : shows the calculated Latitude
private QLabel lHeight : shows the calculated ellipsoidal Height
private QLabel stream_status : shows the status of the stream
'''
def __init__(self):
# Inherits from the QWidget class
super().__init__()
#Setting font
self.setFont(QFont('Helvetica',25))
# Get path to the script
self.__dirtrs = os.path.dirname(os.path.abspath(__file__))
#Connection to the Rover model
self.__rover_model = ConnectionToModel()
#timer
self.__rover_timer = QtCore.QTimer(self)
self.__rover_timer.timeout.connect(self.updateRover)
self.__satellites = None
###### RIGHT PART OF THE WIDGET ######
# Start Button
self.__start_b = QPushButton('Start', self)
self.__start_b.setCheckable(True)
self.__start_b.setSizePolicy(QSizePolicy.MinimumExpanding,QSizePolicy.MinimumExpanding)
self.__start_b.toggled.connect(self.startRover)
# Config Button
self.__config_b = QPushButton('Config', self)
self.__config_b.setSizePolicy(QSizePolicy.MinimumExpanding,QSizePolicy.MinimumExpanding)
self.__config_b.clicked.connect(self.openConfig)
# Setting right part layout
right_layout = QHBoxLayout()
right_layout.addWidget(self.__start_b)
right_layout.addWidget(self.__config_b)
###### LEFT PART OF THE WIDGET ######
# Rover image
fig = QPixmap(self.__dirtrs +'/img/rover.png')
self.__icon = QLabel(self)
self.__icon.setPixmap(fig)
# Chrono
self.__chrono_rover = Chronometer()
# Setting left part layout
left_layout = QVBoxLayout()
left_layout.addWidget(self.__icon)
left_layout.addWidget(self.__chrono_rover)
###### LOWER PART OF THE WIDGET ######
# Position indicators
Sol_=QLabel('Sol:')
Sol_.setAlignment(QtCore.Qt.AlignRight)
Lat_=QLabel('Lat:')
Lat_.setAlignment(QtCore.Qt.AlignRight)
Lon_=QLabel('Lon:')
Lon_.setAlignment(QtCore.Qt.AlignRight)
Alt_=QLabel('Height:')
Alt_.setAlignment(QtCore.Qt.AlignRight)
# Calculated Position to be modified by updateRover()
self.__lSol=QLabel('')
self.__lLat=QLabel('')
self.__lLon=QLabel('')
self.__lHeight=QLabel('')
# Stream indicators
status = QLabel('Stream Status:')
status.setAlignment(QtCore.Qt.AlignLeft)
self.__stream_status = QLabel('Not Started')
self.__stream_status.setSizePolicy(QSizePolicy.Expanding,QSizePolicy.Minimum)
# Setting lower part layout
lower_layout = QHBoxLayout()
lower_layout.addWidget(Sol_)
lower_layout.addWidget(self.__lSol)
lower_layout.addWidget(Lat_)
lower_layout.addWidget(self.__lLat)
lower_layout.addWidget(Lon_)
lower_layout.addWidget(self.__lLon)
lower_layout.addWidget(Alt_)
lower_layout.addWidget(self.__lHeight)
lower_layout2 = QHBoxLayout()
lower_layout2.addWidget(status)
lower_layout2.addWidget(self.__stream_status)
##### SETTING THE GLOBAL LAYOUT ######
rover_layout1 = QHBoxLayout()
rover_layout1.addLayout(left_layout)
rover_layout1.addLayout(right_layout)
rover_layout = QVBoxLayout()
rover_layout.addLayout(rover_layout1)
rover_layout.addLayout(lower_layout)
rover_layout.addLayout(lower_layout2)
self.setLayout(rover_layout)
################# FUNCTIONS #########################
def getModel(self):
'''
getter of the model
return ConnectionToModel
'''
return self.__rover_model
def passSatellites(self, satellites):
'''
passes the tabsatellites to connect to the rover timer
'''
self.__satellites = satellites
def openConfig(self):
'''
Opens the RoverConfig subwindow
'''
try:
# disabling buttons to prevent multi opennings and launchings
self.__config_b.setDisabled(True)
self.__start_b.setDisabled(True)
subWindow = RoverConfigWindow(self)
subWindow.setModel(self.__rover_model)
subWindow.show()
except Exception as e:
print(e)
# enabling buttons back
self.__config_b.setDisabled(False)
self.__start_b.setDisabled(False)
def startRover(self):
'''
Launches the acquisition
Notifies the Model
Modifies the UI
'''
if self.__start_b.isChecked(): # if the acquisition is started
try:
# Notifying the model
real_rover_model = self.__rover_model.getInstanceRover()
real_rover_model.startRover()
# modifying the UI
self.__start_b.setText('Stop')
self.__config_b.setDisabled(True)
self.__chrono_rover.start()
self.__rover_timer.start(1000)
except Exception as e:
print(e)
else: # if the acquisition is stopped
try:
self.__rover_timer.stop()
# Notifying the model
real_rover_model = self.__rover_model.getInstanceRover()
real_rover_model.stopRover()
# modifying the UI
self.__start_b.setText('Start')
self.__config_b.setDisabled(False)
self.__chrono_rover.stop()
self.__lSol.setText('')
self.__lLat.setText('')
self.__lLon.setText('')
self.__lHeight.setText('')
self.__stream_status.setText('Not Started')
except Exception as e:
print(e)
def updateRover(self):
'''
Access the Raws from the model and displays information on screen
Displays the the calculus mode, the calculated position and the stream status
'''
real_rover_model = self.__rover_model.getInstanceRover()
rawsol, rawstream = real_rover_model.getRaw()
# solutions
if len(rawsol)>34:
soltypes=re.findall(r'\(.*\)',rawsol)
print(soltypes)
try:
soltype=soltypes[0][1:-1].strip()
self.__lSol.setText(soltype)
self.__lSol.setStyleSheet('font-family: Helvetica; font-size: 25pt')
except Exception as e:
print(e)
sols=re.findall(r'\d*\.\d*',rawsol)
print(sols)
try:
self.__lLat.setText(sols[1])
self.__lLon.setText(sols[2])
self.__lHeight.setText(sols[3])
except Exception as e:
print(e)
#stream
rawstreams=rawstream.split('\n')
statstr=''
for stream in rawstreams:
if stream.find('error')>0:
streams=stream.split()
statstr=streams[0]+' stream error'
if stream.find(' C ')>0:
streams=stream.split()
if streams[0]=='input':
statstr=streams[1]+':'+streams[6]+'bps '
else:
statstr=streams[0]+':'+streams[8]+'bps '
self.__stream_status.setText(statstr)
def simulator():
"""
Simulates the use of the Ucarpooling app
"""
"""Variables for statistics in the simulation"""
max_time = 0
total_time = 0
total_errors = 0
"""Get the set of people that will request a carpooling partner"""
rows = get_requesters()
helper.info_message(
f'==============STARTING SIMULATION=====================')
"""Iteraring for each row in the database for alumni"""
with Chronometer() as time_simulation:
total_row_count = len(rows)
row_counter = 0
helper.info_message(f'{total_row_count} records to check matching')
for alumni in rows:
print('=========================================')
row_counter += 1
helper.info_message(f'Progress: {row_counter}/{total_row_count}')
alumni_token = alumni['token']
alumni_id = alumni[settings.FIELDNAME_UUID.lower()]
alumni_ucarpooling_id = alumni['ucarpoolingprofile_id']
alumni_useritinerary_id = alumni['useritinerary_id']
"GET the matches for the alumni"
with Chronometer() as time_matching:
response = requests.get(
url=get_matcher_url(alumni_useritinerary_id),
headers={"Authorization": f'Token {alumni_token}'})
"""Time statistics for the matcher of the back-end"""
match_time = float(time_matching)
helper.detail_message('Match for {} took {:.3f} seconds'.format(
alumni_id, match_time))
total_time += match_time
max_time = match_time if max_time < match_time else max_time
if response.status_code == 200:
body_response = response.json()
partners = get_carpooling_partner(body_response)
if partners:
create_carpool(alumni_ucarpooling_id, partners,
alumni_useritinerary_id)
else:
helper.warning_message(
f'{alumni_id} had matches but did not travel with poolers'
)
else:
"""The server did not respond a good result"""
total_errors += 1
if response.status_code == 420:
helper.warning_message(
f'{alumni_id} is already in a carpool')
elif response.status_code == 204:
helper.no_matches_message(
f'{alumni_id} did not have any matches')
create_carpool(alumni_ucarpooling_id, [],
alumni_useritinerary_id)
else:
helper.error_message(
f'Error getting matches for alumni {alumni_id} '
f'---- status code: {response.status_code}: {response.reason}'
)
"""The simulation ended"""
helper.info_message(
'=================SIMULATION ENDED=====================')
helper.detail_message(f'There was a total of {total_errors} errors')
helper.detail_message(f'Max total match time: {max_time} seconds')
helper.detail_message('Simulation runtime: {:.3f} seconds'.format(
float(time_simulation)))
def main():
long_running_task = lambda: time.sleep(1.)
with Chronometer() as t:
long_running_task() # that will take a few seconds.
print('Phew, that took me {:.3f} seconds!'.format(float(t)))
def upload_users_itinerary():
"""
Uploads all the generated users profile to api/ucarpooling/users/
"""
alumni_auth = Table(settings.DATABASE_TABLE_AUTH)
try:
con = sqlite3.connect(settings.DATABASE)
con.row_factory = sqlite3.Row
cursorObj = con.cursor()
"""Building the query for retrieving all the users and their assigned profiles"""
querystring = Query \
.from_(Table(settings.DATABASE_TABLE_ALUMNI)) \
.join(Table(settings.DATABASE_TABLE_ITINERARY)) \
.on_field('uuid') \
.join(Table(settings.DATABASE_TABLE_CARS)) \
.on_field('uuid') \
.select('*')\
.limit(settings.LIMIT_USERS)
# print(querystring.get_sql())
"""Executing the query"""
rows = cursorObj.execute(querystring.get_sql()).fetchall()
with Chronometer() as time_uploading:
"""Iteraring for each row in the database for alumni"""
for alumni in rows:
"""Building the body in a json-like format for the boy of the POST request"""
origen = f'{alumni[settings.FIELDNAME_LATITUDE.lower()]},{alumni[settings.FIELDNAME_LONGITUDE.lower()]}'
toa = f'{date.today()}T{alumni[settings.FIELDNAME_TOA.lower()]}Z'
body = {
"isDriver": True if alumni[settings.FIELDNAME_TRANSPORT.lower()] == 'Car' else False,
"origin": origen,
"destination": "-25.324491,-57.635437", # Uca latitude and longitude
"timeOfArrival": toa
}
"""Getting the token of the alumni for the POST header"""
querystring = Query\
.from_(alumni_auth)\
.select(alumni_auth.token)\
.where(alumni_auth.uuid == alumni[settings.FIELDNAME_UUID.lower()])
cursorObj.execute(querystring.get_sql())
alumni_token = (cursorObj.fetchone())['token']
"""POST request for the itinerary"""
response = requests.post(
url=settings.USER_ITINERARY_URL,
json=body,
headers={
"Authorization": f'Token {alumni_token}' # Token og the Ucarpooling app
}
)
if response.status_code == 201:
helper.success_message(f'Uploaded successfully itinerary for alumni {alumni[settings.FIELDNAME_UUID.lower()]}')
body_response = response.json()
store_useritinerary_id(con, cursorObj, body_response['id'], alumni[settings.FIELDNAME_UUID.lower()])
else:
helper.error_message(f'Error uploading itinerary for alumni {alumni[settings.FIELDNAME_UUID.lower()]} '
f'---- status code: {response.status_code}: {response.reason}')
"""Uploading ended"""
helper.info_message('=================UPLOADING ENDED=====================')
helper.detail_message('Uploading runtime: {:.3f} seconds'.format(float(time_uploading)))
except Error:
print(Error)
finally:
"""Closing the database connection"""
con.close()
from time import sleep
from chronometer import Chronometer
counter = 0
def long_running_task_that_can_fail():
global counter
counter += 1
sleep(2.)
return counter > 3
with Chronometer() as t:
while not long_running_task_that_can_fail():
print('Failed after {:.3f} seconds!'.format(t.reset()))
print('Success after {:.3f} seconds!'.format(float(t)))
print("Performance may be reduced.")
cl.enqueue_copy(queue, f0_mem, f0, is_blocking=True)
cl.enqueue_copy(queue, f1_mem, f1, is_blocking=True)
cl.enqueue_copy(queue, m_d_mem, m_d, is_blocking=True)
# for each device we have to reinitialize variables
row = 0
k = 0
i = 0
f = numpy.zeros_like(f0)
M = numpy.array([]).astype(numpy.uint32)
sumW = values.sum()
start = time.time()
chrono = Chronometer().start()
for k in range(0, values.size, 1):
weight_k = weights.take(k)
value_k = values.take(k)
sumW = sumW - weight_k
if CAPACITY - sumW > weight_k:
cmax = CAPACITY - sumW
else: cmax = weight_k
total_elements = CAPACITY - cmax + 1
if total_elements > 0:
power = k % 32
if i%2 == 0:
from balanced_binary_search_tree import Tree
import random as rdn
from chronometer import Chronometer
if __name__ == "__main__":
tree_control = Tree()
with Chronometer() as time:
i = 0
count = 50
#tree_control.insert_node([50,40,35,30,25,47,43,41,44,55,60,57,65])
with Chronometer() as t:
while i < count:
info = rdn.randint(1,100)
tree_control.insert_node(info)
if i == count/2:
temp = info
i = i + 1
print('To insert spend {:.5f} seconds'.format(float(t)))
with Chronometer() as t:
print('\nin order: ', end='')
tree_control.in_order()
print('\n\nTo print spend {:.5f} seconds'.format(float(t)))
print('\nTree Info: ')
print(' root -> ', tree_control.root.info)
print(' Left height -> ', tree_control.root.left_height)
def chronometer(time_gun):
return Chronometer(time_gun)
