def handle_train_classifier(self):
classifier = self.CLASSIFIERS_OF_CLASS[self.command_args.classifier_type]()
classifier.load_pickled_dataset(self.command_args.input_path)
classifier.train_using_single_set(self.VALIDATION_SET_SIZE)
current_time = datetime.datetime.now().strftime("%Y%m%d_%I%M%S")
classifier.save(self.command_args.output_path + "_" + current_time + ".classifier")
Logger.log("AudioIdentificationCommandline: classifier trained: %s" % self.command_args.output_path + "_" + current_time + ".classifier")
def __init__(self):
self.db = DAL('sqlite://ccaccounts.db')
self.db.define_table('accounts', Field('name'),
Field('account_number', 'integer'),
Field('balance', 'integer'),
Field('balance_limit', 'integer'))
self.log = Logger()
def __init__(self):
self.conn_type = c.CONNECTOR_TYPE
self.log = Logger()
if self.conn_type == 'DB':
self.conn = DBConnector()
else:
self.log.log_message('NCS')
def learn_reduction_for_dataset(self, base_path):
Logger.log("Datasets_Manager: learning reduction from %s" % base_path)
data_file_names = [file_name for file_name in os.listdir(base_path)
if (os.path.isfile(os.path.join(base_path,file_name))) and ("DS" not in file_name)]
for file_name in data_file_names:
loaded_signal = self.stepwise_load_signal(os.path.join(base_path,file_name))
self.stepwise_learn_reduction(loaded_signal)
del loaded_signal
class Application(object):
settings = None
log = system = None # Placeholders to be filled later.
growl = None # Can be 'None' if no Growl found.
def __init__(self, is_daemon=True):
self.settings = self._assembleSettings(is_daemon=is_daemon)
self.log = Logger(self)
self.log.install()
self.log.debug("Logging installed.")
self.system = System(self)
self.log.debug("Application initialisation finished.")
def _assembleSettings(self, is_daemon):
"""Assemple application settings (such as log dir, etc)."""
return _AppConfig({
"is_daemon": is_daemon,
"log_dir": os.path.join(os.path.dirname(__file__), "logs"),
})
def doWork(self):
"""Called when caller wants for application to perform its actual functionality."""
self.system.loadPlugins()
self.log.debug("System plugins loaded.")
# Growl app is so specific and widespread that it makes sense to
# care about it even on the top application level.
if self.system.plugins.growl.isRunning():
self.growl = self.system.plugins.growl
self.growl.setGlobalGrowlingApplicationOptions("OsXRuleActions")
# Now to call call user configuration.
from config import main as mainConfig
try:
mainConfig.execute(self.system)
except:
self.log.exception("Error happened during config run.")
@classmethod
def consoleRun(cls, options):
"""Called when application is initialized from console."""
_app = cls(is_daemon=options.is_daemon)
try:
_app.doWork()
except:
_app.showBadException("Error in main application loop.")
def showBadException(self, msg):
"""Show top-level exception. Called only when everything else fails."""
_str = StringIO()
traceback.print_exc(file=_str)
_str.seek(0, 0)
_str = _str.read()
_pop = subprocess.Popen("open -tf", shell=True, stdin=subprocess.PIPE)
_pop.stdin.write("Error happend: %s\n%s" % (msg, _str))
_pop.communicate()
def __init__(self):
self.log = Logger().custom_logger()
self.db_client = DataBaseClient()
opts = Options()
opts.log.level = "fatal"
self.driver = webdriver.Firefox(executable_path=path_to_driver,
options=opts)
self.driver.implicitly_wait(60)
self.wait = WebDriverWait(self.driver, 60)
self.start_url = start_url
def preprocess_file(self, base_path, file_name, strip_silence=True, subtract_original=True):
Logger.log("AudioFilesPreprocessor: preprocessing file: %s" % file_name)
signal = self.get_signal_array_from_file(base_path, file_name)
self.strip_silence_from_file(self.original_sound_base_path, self.original_sound_file_name)
self.original_signal = self.get_signal_array_from_file(os.path.join(self.original_sound_base_path,self.silence_stripped_path), self.original_sound_file_name)
## TDOD: REMOVE THIS!!!! ->
self.original_signal = np.zeros(1)
## TDOD: REMOVE THIS!!!! <-
if strip_silence: self.strip_silence_from_file(base_path, file_name)
if subtract_original: self.subtract_original_signal_from_picked_signal(self.original_signal,signal)
def __init__(self):
# State here the possible stages and their handlers
self.STAGE_OF_HANDLER = {"preprocess": self.handle_preprocess,
"reduce_dataset": self.handle_reduce_dataset,
"train_classifier": self.handle_train_classifier,
"classify": self.handle_classify,
"evaluate_testset": self.handle_evaluate_testset}
self.parse_commandline_arguments()
Logger.set_log_path(self.command_args.log_path)
self.call_stage_method()
def train_and_choose_parameters(self, training_labels, validation_labels):
best_score = 0
best_classifier = None
for n_estimator in self.n_estimators:
for criterion_string in self.criterion:
classifier, score = self.train_with_parameters(n_estimator, criterion_string, training_labels, validation_labels)
if score >= best_score:
best_score = score
best_classifier = classifier
Logger.log("RF: Classifier trained with accuracy %s" % best_score)
Logger.log("RF: Classifiers parameters are: %s" % best_classifier.get_params())
return best_classifier, best_score
def train_and_choose_parameters(self, training_labels, validation_labels):
best_score = 0
best_classifier = None
for c_value in self.C:
for pen in self.penalty:
classifier, score = self.train_with_parameters(c_value, pen,training_labels, validation_labels)
if score >= best_score:
best_score = score
best_classifier = classifier
Logger.log("LOGISTICREG: Classifier trained with accuracy %s" % best_score)
Logger.log("LOGISTICREG: Classifiers parameters are: %s" % best_classifier.get_params())
return best_classifier, best_score
def handle_preprocess(self):
afp = AudioFilesPreprocessor(self.command_args.input_path, self.RECORDING_CONF, self.ORIGINAL_FILE_PATH, self.ORIGINAL_FILE_NAME)
afp.preprocess_dataset(subtract_original=self.command_args.subtract_original)
if os.path.islink(self.command_args.output_path):
os.unlink(self.command_args.output_path)
if self.command_args.subtract_original:
os.symlink(os.path.join(self.command_args.input_path,AudioFilesPreprocessor.original_signal_substracted_path), self.command_args.output_path)
else:
os.symlink(os.path.join(self.command_args.input_path,AudioFilesPreprocessor.silence_stripped_path), self.command_args.output_path)
Logger.log("AudioIdentificationCommandline: preprocessing done")
def transform_and_reduce_dataset(self, time_domain_dataset):
# This is only to make sure that all signals are of the same length, otherwise we will not have the same granularity in the frequency domain.
signal_lengths = [len(signal) for signal in time_domain_dataset]
assert min(signal_lengths) == max(signal_lengths)
self.signals_length = max(signal_lengths)
freq_domain_dataset = np.array([self.seperate_real_and_imaginary_parts(rfft(signal)) for signal in time_domain_dataset])
self.pca = decomposition.PCA(n_components=self.reduced_dimentionality)
Logger.log("DSManager_DFTDimReduction: fitting PCA to frequency domain dataset to reduce dimensionality")
self.pca.fit(freq_domain_dataset)
reduced_freq_domain_dataset = self.pca.transform(freq_domain_dataset)
Logger.log("DFTDimReduction: PCA was fitted and the dimensionality reduced")
return reduced_freq_domain_dataset
def load_signals_dataset(self, base_path):
Logger.log("Datasets_Manager: loading dataset from %s" % base_path)
data_file_names = [file_name for file_name in os.listdir(base_path)
if (os.path.isfile(os.path.join(base_path,file_name))) and ("DS" not in file_name)]
np_arrays_dataset = [np.load(os.path.join(base_path,file_name)) for file_name in data_file_names]
signal_lengths = [len(np_array) for np_array in np_arrays_dataset]
self.maximal_signal_length = max(signal_lengths)
x = np.array([np.pad(signal,(0,self.maximal_signal_length-len(signal)),mode="constant",constant_values=(0,)).tolist() for signal in np_arrays_dataset])
y_loc = np.array([self.get_location_label_from_filename(file_name) for file_name in data_file_names])
y_obj = np.array([self.get_object_label_from_filename(file_name) for file_name in data_file_names])
Logger.log("Datasets_Manager: dataset loaded")
return x, y_loc, y_obj
def __init__(self, args, logFile=sys.stderr):
# Analogous to command line arguments
self.argAll = args['all']
self.argBugs = args['bugs']
self.argFunction = args['function']
self.argNoColor = args['no_color']
self.argRemotes = args['remotes']
self.argShowStash = args['show_stash']
self.argSubmodules = args['submodules']
self.argVerbose = args['verbose']
# File like object to log to
self.logger = Logger(logFile, not self.argNoColor)
def train_and_choose_parameters(self, training_labels, validation_labels):
linear_classifier, linear_score = self.best_linear_classifier(training_labels, validation_labels)
rfb_classifier, rbf_score = self.best_rbf_classifier(training_labels, validation_labels)
if linear_score >= rbf_score:
best_classifier = linear_classifier
best_score = linear_score
else:
best_classifier = rfb_classifier
best_score = rbf_score
Logger.log("SVM: Classifier trained with accuracy %s" % best_score)
Logger.log("SVM: Classifiers parameters are: %s" % best_classifier.get_params())
return best_classifier, best_score
def train_and_choose_parameters(self, training_labels, validation_labels):
best_score = 0
best_classifier = None
for k in self.k_neighbors:
for w in self.weights:
for l in self.leaf_size:
for p in self.p_value:
classifier, score = self.train_with_parameters(k,w,l,p, training_labels, validation_labels)
if score >= best_score:
best_score = score
best_classifier = classifier
Logger.log("KNN: Classifier trained with accuracy %s" % best_score)
Logger.log("KNN: Classifiers parameters are: %s" % best_classifier.get_params())
return best_classifier, best_score
def transform_dataset_according_to_learnt_reduction(self, base_path):
Logger.log("Datasets_Manager: transforming %s according to reduction" % base_path)
data_file_names = [file_name for file_name in os.listdir(base_path)
if (os.path.isfile(os.path.join(base_path,file_name))) and ("DS" not in file_name)]
x = np.empty((0,self.reduced_dimensionality), dtype=np.float32)
y_loc = np.empty((0,1), dtype=int)
y_obj = np.empty((0,1), dtype=int)
for file_name in data_file_names:
loaded_signal = self.stepwise_load_signal(os.path.join(base_path,file_name))
reduced_signal = self.stepwise_reduce_signal(loaded_signal)
x = np.append(x,reduced_signal, axis=0)
y_loc = np.append(y_loc, self.get_location_label_from_filename(file_name), axis=0)
y_obj = np.append(y_obj, self.get_object_label_from_filename(file_name), axis=0)
del loaded_signal
del reduced_signal
return x, y_loc, y_obj
def __init__(self, is_daemon=True):
self.settings = self._assembleSettings(is_daemon=is_daemon)
self.log = Logger(self)
self.log.install()
self.log.debug("Logging installed.")
self.system = System(self)
self.log.debug("Application initialisation finished.")
def strip_silence_from_file(self, base_path, file_name):
file_absolute_path = os.path.join(base_path, file_name).replace(" ","\ ").replace("(", "\(").replace(")","\)")
output_file = os.path.join(base_path, self.silence_stripped_path, file_name).replace(" ","\ ").replace("(", "\(").replace(")","\)")
sox_command = "/usr/local/bin/sox -e %s -b%d -L -r%d -c1 %s %s " % (self.audio_configuration["encoding"],
self.audio_configuration["encoding_size"],
self.audio_configuration["sample_rate"],
file_absolute_path,
output_file)
silence_filter = "silence %d %d %s reverse silence %d %d %s reverse" % (self.silence_configuration["below_period"],
self.silence_configuration["override_duration"],
str(self.silence_configuration["threshold"]) + 'd',
self.silence_configuration["below_period"],
self.silence_configuration["override_duration"],
str(self.silence_configuration["threshold"]) + 'd')
Logger.log("AudioFilesPreprocessor: removing silence: %s" % (sox_command + silence_filter))
Logger.log("AudioFilesPreprocessor: execution result: %s" % os.popen(sox_command + silence_filter).read())
def subtract_original_signal_from_dataset(self, original_signal_base_path, original_signal_file_name):
self.strip_silence_from_file(original_signal_base_path, original_signal_file_name)
self.original_signal = self.get_signal_array_from_file(os.path.join(original_signal_base_path,self.silence_stripped_path), original_signal_file_name)
## TDOD: REMOVE THIS!!!! ->
self.original_signal = np.zeros(1)
## TDOD: REMOVE THIS!!!! <-
files_list = [file_name for file_name in os.listdir(os.path.join(self.base_path,self.silence_stripped_path))
if (os.path.isfile(os.path.join(self.base_path,self.silence_stripped_path,file_name)) and ("DS" not in file_name))]
for file_name in files_list:
Logger.log("AudioFilesPreprocessor: removing original sound: %s from: %s" %
(os.path.join(original_signal_base_path,original_signal_file_name),file_name))
signal = self.get_signal_array_from_file(os.path.join(self.base_path,self.silence_stripped_path), file_name)
substracted_signal = self.subtract_original_signal_from_picked_signal(self.original_signal,signal)
np.save(os.path.join(self.base_path,self.original_signal_substracted_path,file_name),substracted_signal)
self.maximal_signal_length = max(self.maximal_signal_length, len(signal))
def __init__(self,
name="",
account_number=0,
balance=0,
balance_limit=0,
amount=0):
self.connector = Connector()
self.log = Logger()
if amount > 0:
self.name = name
self.amount = amount
elif type(name) == str and type(account_number) == int and type(
balance_limit) == int:
self.name = name
self.account_number = account_number
self.balance = balance
self.balance_limit = balance_limit
self.amount = amount
else:
self.log.log_message('ICPT')
pass
def reset_all(self):
"""
reset all variables and the layout
"""
self.log = Logger()
self.currentFileIndex = 0
self.sphinxProjectBase = None
self.fileNameList = [None for i in range(self.maxDocuments)]
self.filePathList = [None for i in range(self.maxDocuments)]
self.fileLangList = [None for i in range(self.maxDocuments)]
self.editorList = [None for i in range(16)]
self.background = []
def main():
Logger.make_logger()
sys.excepthook = log_unhandled_exception
app = QtWidgets.QApplication(sys.argv)
queue = Queue()
thread = QtCore.QThread()
receiver = MessageReceiver(queue)
window = DownloaderForRedditGUI(queue, receiver)
receiver.output_signal.connect(window.update_output)
receiver.moveToThread(thread)
thread.started.connect(receiver.run)
receiver.finished.connect(thread.quit)
receiver.finished.connect(receiver.deleteLater)
thread.finished.connect(thread.deleteLater)
thread.start()
window.show()
sys.exit(app.exec_())
def downloadData(baseURL, baseOutputFilename, opts=sys.argv):
log = Logger()
getFootyOptions(log, opts)
(algoCfg, mailCfg) = getFootyConfig()
seasons = algoCfg['seasons']
rangeMap = algoCfg['rangeMap']
leagues = rangeMap.keys()
for l in leagues:
for s in seasons:
resultsURL = baseURL.format(s, l)
log.info('Downloading...' + resultsURL)
with readCSVFileAsDict(resultsURL) as resultsReader:
outputFilename = baseOutputFilename.format(l, s)
log.info('Output to...' + outputFilename)
# Correct the first header field
i = resultsReader.__iter__()
headers = i.__next__()
headers[0] = 'Div'
with newCSVFile(outputFilename, headers) as outputWriter:
for row in i:
outputWriter.writerow(row)
class DBConnector:
def __init__(self):
self.db = DAL('sqlite://ccaccounts.db')
self.db.define_table('accounts', Field('name'),
Field('account_number', 'integer'),
Field('balance', 'integer'),
Field('balance_limit', 'integer'))
self.log = Logger()
def check_accounts(self, name):
if self.db(self.db.accounts.name == name).count() == 0:
self.log.log_message('NAE')
return False
else:
return True
def add_account(self, name, account_number, balance, balance_limit):
# check that non zero or negative numbers are being passed
# in the account number or in the balance limit
# checks if account name and account number already exist
# in the DB and returns error if the account exists
if self.db(self.db.accounts.name == name).count() > 0 or self.db(
self.db.accounts.account_number == account_number).count() > 0:
self.log.log_message('AAE')
else:
# inserts the row into the DB with the balance limit as the initial balance.
self.db.accounts.insert(name=name,
account_number=account_number,
balance=balance,
balance_limit=balance_limit)
self.db.commit()
def charge_account(self, name, amount):
# find row that matches the name given to do a check on balance limits
for row in self.db(self.db.accounts.name == name).select(
self.db.accounts.balance, self.db.accounts.balance_limit):
account_limit = row.balance_limit
balance = row.balance
if 'balance' in locals():
# get the sum of the balance and amount charged
new_balance = int(amount) + int(balance)
# make sure the balance will not exceed the balance limit.
if new_balance > account_limit:
self.log.log_message('SAL')
else:
self.db(self.db.accounts.name == name).update(
balance=new_balance)
self.db.commit()
else:
self.log.log_message('NBRCH')
pass
def credit_account(self, name, amount):
# find row that matches the name given to do a check on balance limits
for row in self.db(self.db.accounts.name == name).select(
self.db.accounts.balance, self.db.accounts.balance_limit):
balance = row.balance
if 'balance' in locals():
# get the difference of the balance and amount credited
new_balance = int(balance) - int(amount)
self.db(self.db.accounts.name == name).update(balance=new_balance)
self.db.commit()
else:
self.log.log_message('NBRCR')
pass
def account_balances(self):
if __name__ == '__main__':
for row in self.db().select(self.db.accounts.name,
self.db.accounts.account_number,
self.db.accounts.balance,
orderby=self.db.accounts.name):
name = row.name
acct_number = row.account_number
balance = row.balance
print "{}, {}: {}".format(name, acct_number, balance)
def makeFootyHistory(resultsURLTmpl, opts=sys.argv):
log = Logger()
getFootyOptions(log, opts)
(algoCfg, mailCfg) = getFootyConfig()
rangeMap = algoCfg['rangeMap']
seasons = algoCfg['seasons']
'''
Looks like if you go back too far with the historical data it starts to
mess up the results, I suspect this is because the league composition has
changed enough to mean that the newer and older season data don't play
well together...
'''
log.info(__name__ + ' : ' + model.__class__.__name__)
for league in rangeMap.keys():
log.info('League : {}...'.format(league))
os.makedirs('{}/{}'.format(analysisDir, league), exist_ok=True)
summaryData = {}
with newCSVFile('{}/{}/History.{}.csv'.format(analysisDir, league,
model.__class__.__name__),
['Date', 'HomeTeam', 'AwayTeam', 'Mark', 'Result']) \
as historyWriter:
for season in seasons:
resultsURL = resultsURLTmpl.format(season, league)
log.debug('Processing...{}'.format(resultsURL))
try:
with readCSVFileAsDict(resultsURL) as resultsReader:
# Assembling as list so that the iterator can be reset
res = list(resultsReader)
data = model.processMatches(res)
# Resetting iterator here...
for row in iter(res):
try:
date, ht, at, mark, hForm, aForm = \
model.markMatch(data,
row['Date'],
row['HomeTeam'],
row['AwayTeam'])
except KeyError:
continue
if mark is None or row['FTR'] == '':
continue
mark = int(mark)
matchResult = row['FTR'].strip()
historyWriter.writerow(
[date, ht, at, mark, matchResult])
if mark not in summaryData:
summaryData[mark] = {'A': 0, 'D': 0, 'H': 0}
summaryData[mark][matchResult] += 1
except BaseException:
log.error(sys.exc_info()[0:1])
continue
log.info('Writing summary data...')
with newCSVFile('{}/{}/Summary.{}.csv'.format(analysisDir, league,
model.__class__.__name__),
['Mark', 'Frequency', '%H','HO', '%D', 'DO', '%A', 'AO']) \
as summaryWriter:
x = []
hY = []
dY = []
aY = []
hist = {}
for mark in summaryData:
if mark > 15 or mark < -15:
continue
awayF = summaryData[mark]['A']
drawF = summaryData[mark]['D']
homeF = summaryData[mark]['H']
totalF = awayF + drawF + homeF
awayP = awayF / totalF * 100
drawP = drawF / totalF * 100
homeP = homeF / totalF * 100
x.append(mark)
hY.append(homeP)
dY.append(drawP)
aY.append(awayP)
awayO = awayP if awayP == 0 else 100 / awayP
drawO = drawP if drawP == 0 else 100 / drawP
homeO = homeP if homeP == 0 else 100 / homeP
hist[mark] = (homeF, homeP)
summaryWriter.writerow([
mark, totalF, '{:>4.2f}'.format(homeP),
'{:>4.2f}'.format(homeO), '{:>4.2f}'.format(drawP),
'{:>4.2f}'.format(drawO), '{:>4.2f}'.format(awayP),
'{:>4.2f}'.format(awayO)
])
s = ''
for h in sorted(hist.items(), key=lambda x: x[1][0], reverse=True):
s += '{:d} ({:d} {:>5.2f}) '.format(h[0], h[1][0], h[1][1])
log.info(s)
with newCSVFile('{}/{}/Stats.{}.csv'.format(analysisDir, league,
model.__class__.__name__),
['Result', 'Slope', 'Intercept', 'P', 'R', 'R^2', 'Err']) \
as statsWriter:
slope, intercept, r, p, stderr = stats.linregress(x, hY)
r2 = r**2
log.info(
'Home: {:>4.2f} {:>4.2f} {:>4.2} {:>4.2f} {:>4.2f} {:>4.2}'.
format(slope, intercept, p, r, r2, stderr))
statsWriter.writerow([
'H', '{:>4.2f}'.format(slope), '{:>4.2f}'.format(intercept),
'{:>4.2f}'.format(p), '{:>4.2f}'.format(r),
'{:>4.2f}'.format(r2), '{:>4.2f}'.format(stderr)
])
slope, intercept, r, p, stderr = stats.linregress(x, dY)
r2 = r**2
log.info(
'Draw: {:>4.2f} {:>4.2f} {:>4.2} {:>4.2f} {:>4.2f} {:>4.2}'.
format(slope, intercept, p, r, r2, stderr))
statsWriter.writerow([
'D', '{:>4.2f}'.format(slope), '{:>4.2f}'.format(intercept),
'{:>4.2f}'.format(p), '{:>4.2f}'.format(r),
'{:>4.2f}'.format(r2), '{:>4.2f}'.format(stderr)
])
slope, intercept, r, p, stderr = stats.linregress(x, aY)
r2 = r**2
log.info(
'Away: {:>4.2f} {:>4.2f} {:>4.2} {:>4.2f} {:>4.2f} {:>4.2}'.
format(slope, intercept, p, r, r2, stderr))
statsWriter.writerow([
'A', '{:>4.2f}'.format(slope), '{:>4.2f}'.format(intercept),
'{:>4.2f}'.format(p), '{:>4.2f}'.format(r),
'{:>4.2f}'.format(r2), '{:>4.2f}'.format(stderr)
])
def analyseFixtures(resultsURLTmpl, fixturesURL, opts=sys.argv):
log = Logger()
(sendMail, rangeMap) = getFootyOptions(log, opts)
(algoCfg, mailCfg) = getFootyConfig()
rangeMap = algoCfg['rangeMap']
season = algoCfg['season']
teamErrorMap = algoCfg['teamErrorMap']
mailText = '<table border=1><tr><th>Lge</th><th>Date</th><th>HomeTeam</th><th>AwayTeam</th><th>Mark</th><th>H#</th><th>H%</th><th>H Odds</th><th>HomeTeamForm</th><th>AwayTeamForm</th></tr>'
s = '{:<4s} {:<8s} {:<16s} {:<16s} {:<4s} {:s} {:<37s} {:<37s}'.format(
'Lge', 'Date', 'HomeTeam', 'AwayTeam', 'Mark', fST(('H#', 'H%', 'HO')),
'HomeTeamForm', 'AwayTeamForm')
termText = '\n' + hl(s) + '\n'
with newCSVFile(
'{}/Betting.{}.csv'.format(analysisDir, model.__class__.__name__),
[
'Lge', 'Date', 'HomeTeam', 'AwayTeam', 'Mark', 'H#', 'H%', 'HOdds',
'HomeTeamForm', 'AwayTeamForm'
]) as bettingWriter:
league = ''
data = {}
summaryData = {}
with readCSVFileAsDict(fixturesURL) as fixturesReader:
for fix in fixturesReader:
log.debug(fix)
ind = 'b\"Div'
try:
fix['b\"Div']
except:
ind = 'b\'Div'
if fix[ind] not in rangeMap:
continue
if league != fix[ind]:
league = fix[ind]
resultsURL = resultsURLTmpl.format(season, league)
log.info(resultsURL)
with readCSVFileAsDict(resultsURL) as resultsReader:
data = model.processMatches(resultsReader)
with readCSVFileAsDict(
'{}/{}/Summary.{}.csv'.format(analysisDir,
league, model.__class__.__name__)) \
as summaryReader:
for summ in summaryReader:
mark = int(summ['Mark'])
f = int(summ['Frequency'])
hP = float(summ['%H'])
dP = float(summ['%D'])
aP = float(summ['%A'])
summaryData[mark] = {
'H':
(int(f * (hP / 100)), float(summ['%H']),
float(summ['HO'])),
'D':
(int(f * (dP / 100)), float(summ['%D']),
float(summ['DO'])),
'A': (int(f * (aP / 100)),
float(summ['%A']), float(summ['AO']))
}
ht = fix['HomeTeam']
if ht in teamErrorMap:
ht = teamErrorMap[ht]
at = fix['AwayTeam']
if at in teamErrorMap:
at = teamErrorMap[at]
date, ht, at, mark, hForm, aForm = model.markMatch(
data, fix['Date'], ht, at)
if mark is None or mark not in range(-15, 16):
continue
hSD = summaryData[mark]['H']
aSD = summaryData[mark]['A']
dSD = summaryData[mark]['D']
s = '{:<4s} {:<8s} {:<16s} {:<16s} {:4d} {:s} ({:s}) ({:s})'\
.format(league, date, ht, at, mark, fSD(hSD),
hForm, aForm)
mail_s = '<tr><td>{:s}</td><td>{:s}</td><td>{:s}</td><td>{:s}</td><td align="right">{:>4d}</td><td align="right">{:>4d}</td><td align="right">{:>6.2f}%</td><td align="right">{:>5.2f}</td><td align="right">{:s}</td><td align="right">{:s}</td></tr>'.format(
league, date, ht, at, mark, hSD[0], hSD[1], hSD[2], hForm,
aForm)
if mark in rangeMap[league]:
termText += hl(s) + '\n'
mailText += mail_hl(mail_s)
else:
termText += s + '\n'
mailText += mail_s
bettingWriter.writerow((league, date, ht, at, mark, hSD[0],
hSD[1], hSD[2], hForm, aForm))
log.info(termText)
mailText += '</table>'
mailText = 'MIME-Version: 1.0\nContent-type: text/html\nSubject: Footy Bets\n\n{}'.format(
mailText)
if sendMail:
fromAddr = mailCfg['fromAddr']
toAddrs = mailCfg['toAddrs']
server = smtplib.SMTP(mailCfg['svr'], int(mailCfg['port']))
server.ehlo()
server.starttls()
server.ehlo()
server.login(fromAddr, mailCfg['pwd'])
server.sendmail(fromAddr, toAddrs, mailText)
server.quit()
log.info('email sent to: {!s}'.format(toAddrs))
def preprocess_dataset(self, strip_silence=True, subtract_original=True):
if strip_silence: self.strip_silence_from_entire_dataset()
if subtract_original: self.subtract_original_signal_from_dataset(self.original_sound_base_path, self.original_sound_file_name)
Logger.log("AudioFilesPreprocessor:dataset preprocessed. Maximal signal length is %s " % self.maximal_signal_length)
def stepwise_load_and_reduce_dataset(self, base_path):
Logger.log("Datasets_Manager: loading dataset step by step from %s" % base_path)
self.learn_reduction_for_dataset(base_path)
return self.transform_dataset_according_to_learnt_reduction(base_path)
class Sysgit:
"""Contains the Sysgit logic"""
def __init__(self, args, logFile=sys.stderr):
# Analogous to command line arguments
self.argAll = args['all']
self.argBugs = args['bugs']
self.argFunction = args['function']
self.argNoColor = args['no_color']
self.argRemotes = args['remotes']
self.argShowStash = args['show_stash']
self.argSubmodules = args['submodules']
self.argVerbose = args['verbose']
# File like object to log to
self.logger = Logger(logFile, not self.argNoColor)
def log(self, message):
"""Log `message' to this instance's logFile."""
if self.argVerbose:
self.logger.log(message)
def getReposInPath(self):
"""Return a list of repositories found in SYSGIT_PATH env var."""
self.log('Enumerating repositories in SYSGIT_PATH')
paths = [
os.path.expanduser(path)
for path in os.environ['SYSGIT_PATH'].split(':')
]
repoLocations = list()
# Recursively find all of the repositories in our path
for path in paths:
#pylint: disable=unused-variable
for dirpath, dirnames, filenames in os.walk(path):
for direntry in dirnames:
if '.git' in direntry:
repoLocations.append(dirpath)
break
return repoLocations or []
def rejectIgnoredRepos(self, repoList):
"""
If SYSGIT_IGNORE is set in the environment, removes these entries from
the list `repoList'
"""
# Try removing all paths in SYSGIT_IGNORE
try:
ignoredRepos = [
os.path.expanduser(path)
for path in os.environ['SYSGIT_IGNORE'].split(':')
]
self.log('Ignoring repos in SYSGIT_IGNORE')
validRepoList = list()
for repo in repoList:
for ignoredRepo in ignoredRepos:
if ignoredRepo not in repo:
validRepoList.append(repo)
repoList = validRepoList
except KeyError:
# If SYSGIT_IGNORE doesn't exit, we should carry on normally.
pass
return repoList
def findUnversionedDirectories(self, repoList):
"""
Locates directories in SYSGIT_PATH that are not in SYSGIT_IGNORE,
at the same filesystem depth as other git repositories, but not under
version control, and prints a warning message about each.
"""
pathList = copy.deepcopy(repoList)
while pathList:
path = pathList.pop(0)
#pylint: disable=unused-variable
for dirpath, dirnames, filenames in os.walk(os.path.dirname(path)):
for entry in dirnames:
entry = dirpath + '/' + entry
if entry == path:
continue
elif entry in pathList:
pathList.remove(entry)
continue
else:
self.log('{} is not versioned by git'.format(entry))
break
def buildRepoList(self):
"""
Get a list of Repository objects corresponding to top-level git
repositories in the path.
"""
repoList = self.rejectIgnoredRepos(self.getReposInPath())
self.log('Discovered {} repositories'.format(len(repoList)))
# If we were invoked with -v,--verbose; then warn about un-versioned
# directories in SYSGIT_PATH
if self.argVerbose:
self.findUnversionedDirectories(repoList)
# Construct RepositoryFlags object
repoFlags = RepositoryFlags(submodules=self.argSubmodules,
bugs=self.argBugs,
colors=not self.argNoColor,
stash=self.argShowStash,
remotes=self.argRemotes,
verbose=self.argVerbose)
# Construct repository objects
repoInstances = list()
for repo in repoList:
repoInstances.append(Repository(repo, repoFlags=repoFlags))
return repoInstances
def execute(self):
"""Executes the function of this invocation."""
# The dict of function handlers.
funcs = {'list': self.listHandler}
handler = funcs[self.argFunction]
self.log('Executing {}'.format(self.argFunction))
if not handler():
self.log('Exiting normally')
else:
self.log('Exiting with errors')
###########################################################################
# HANDLERS
###
def listHandler(self):
"""
List all of the repos in the path
"""
# Sanity check
if self.argFunction != 'list':
raise RuntimeError('The wrong handler was called.')
if self.argAll:
self.argSubmodules = True
self.argBugs = True
self.argShowStash = True
self.argRemotes = True
repos = self.buildRepoList()
for repo in repos:
stats = ''
changes, stats = repo.status(stats)
if changes or self.argVerbose:
print(stats, end='')
return 0
def footyBackTest(resultsURLTmpl, opts=sys.argv):
(algoCfg, mailCfg) = getFootyConfig()
rangeMap = algoCfg['rangeMap']
seasons = algoCfg['seasons']
log = Logger()
(sm, rm) = getFootyOptions(log, opts)
rangeMap = rm if rm else rangeMap
for league in rangeMap.keys():
summaryData = {}
with readCSVFileAsDict('{}/{}/Summary.{}.csv'.format(
analysisDir, league,
model.__class__.__name__)) as summaryReader:
for row in summaryReader:
mark = int(row['Mark'])
summaryData[mark] = {
'H': (float(row['%H']), float(row['HO'])),
'D': (float(row['%D']), float(row['DO'])),
'A': (float(row['%A']), float(row['AO']))
}
with newCSVFile(
'{}/{}/BackTest.{}.csv'.format(analysisDir, league,
model.__class__.__name__),
[
'Date', 'HomeTeam', 'AwayTeam', 'Mark', 'Result', 'MyBet',
'MyOdds', 'Bookie', 'BookieOdds', 'Winnings', 'PnL', 'T_Stk',
'T_W', 'Yield'
]) as backTestWriter:
ts = tw = y = 0
for season in seasons:
resultsURL = resultsURLTmpl.format(season, league)
log.debug('Processing...{}'.format(resultsURL))
with readCSVFileAsDict(resultsURL) as resultsReader:
# Assemble results as list so that we can reset the iterator
res = list(resultsReader)
data = model.processMatches(res)
# Resetting the iterator here
for row in iter(res):
date, ht, at, mark, hForm, aForm = model.markMatch(
data, row['Date'], row['HomeTeam'],
row['AwayTeam'])
if mark is None:
continue
if mark in rangeMap[league]:
bestH = 0
bestD = 0
bestA = 0
bookie = ''
try:
b365H = float(row['B365H'])
b365D = float(row['B365D'])
b365A = float(row['B365A'])
if b365H > bestH:
bestH = b365H
bookie = 'B365'
except BaseException:
log.error('No B365 data - skipping : {} {} {}'\
.format(date, ht, at))
try:
bwH = float(row['BWH'])
bwD = float(row['BWD'])
bwA = float(row['BWA'])
if bwH > bestH:
bestH = bwH
bookie = 'BW'
except BaseException:
log.error('No BW data - skipping : {} {} {}'\
.format(date, ht, at))
try:
iwH = float(row['IWH'])
iwD = float(row['IWD'])
iwA = float(row['IWA'])
if iwH > bestH:
bestH = iwH
bookie = 'IW'
except BaseException:
log.error('No IW data - skipping : {} {} {}'\
.format(date, ht, at))
try:
lbH = float(row['LBH'])
lbD = float(row['LBD'])
lbA = float(row['LBA'])
if lbH > bestH:
bestH = lbH
bookie = 'LB'
except BaseException:
log.error('No LB data - skipping : {} {} {}'\
.format(date, ht, at))
try:
whH = float(row['WHH'])
whD = float(row['WHD'])
whA = float(row['WHA'])
if whH > bestH:
bestH = whH
bookie = 'WH'
except BaseException:
log.error('No WH data - skipping : {} {} {}'\
.format(date, ht, at))
try:
vcH = float(row['VCH'])
vcD = float(row['VCD'])
vcA = float(row['VCA'])
if vcH > bestH:
bestH = vcH
bookie = 'VC'
except BaseException:
log.error('No VC data - skipping : {} {} {}'\
.format(date, ht, at))
hSD = summaryData[mark]['H']
aSD = summaryData[mark]['A']
dSD = summaryData[mark]['D']
myBet = ''
myOdds = 0.0
myPercent = 0.0
bookieOdds = 0.0
winnings = 0.0
pnl = 0.0
if bestH > hSD[1]: # and bestH < (hSD[1] * 2):
myBet = 'H'
myOdds = hSD[1]
#myOdds = (1.97*mark+45.42)*0.9
myPercent = hSD[0]
bookieOdds = bestH
winnings = bookieOdds
pnl = winnings - 1
if False and myPercent < dSD[0] and bestD > dSD[1]:
#if myPercent < dSD[0] and b365D > dSD[1]:
myBet = 'D'
myOdds = dSD[1]
myPercent = dSD[0]
bookieOdds = bestD
winnings = bookieOdds
pnl = winnings - 1
if False and myPercent < aSD[0] and bestA > aSD[1]:
#if myPercent < aSD[0] and b365A > aSD[1]:
myBet = 'A'
myOdds = aSD[1]
myPercent = aSD[0]
bookieOdds = bestA
winnings = bookieOdds
pnl = winnings - 1
matchResult = row['FTR']
if myBet != '':
if matchResult != myBet:
winnings = 0.0
pnl = -1.0
ts += 1
tw += winnings
y = (tw - ts) / ts
backTestWriter.writerow(
(date, ht, at, mark, matchResult, myBet,
myOdds, bookie, bookieOdds, winnings, pnl, ts,
tw, y))
log.info(
'{:<5s} - Staked: GBP{:>6.2f} Won: GBP{:>6.2f} Yield: {:>6.2f}%'.
format(league, ts, tw, y * 100))
@author: saulius
'''
import time
import select
import sys
TYPE_TIMEOUT = 1
TYPE_CLOSED = 2
EVENT_TYPE_FD = 1
EVENT_TYPE_TIME = 2
from Logging import Logger
from Logging import Level
events = []
logger = Logger("EVENT", Level.INFO)
def getCurrentMills():
return int(round(time.time() * 1000))
def eventTimeout(timeMs, callback, argument, strId):
event = EventData(EVENT_TYPE_TIME, callback, argument)
event.time = getCurrentMills() + timeMs
event.id = strId
logger.log(Level.DEBUG, "Registering timeout " + str(event))
events.append(event)
def eventTimeoutDelete(callback, argument):
for event in events:
if event.type == EVENT_TYPE_TIME and event.callback == callback and event.argument == argument:
logger.log(Level.DEBUG, "Deleting " + str(event))
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine, Table, Column, Integer, String, MetaData, ForeignKey
from sqlalchemy.orm import sessionmaker
from sqlalchemy_utils import database_exists, create_database
from sqlalchemy.dialects.mysql import TEXT
from settings import host_db, name_db, username_db,password_db
from Logging import Logger
Base = declarative_base()
log = Logger().custom_logger()
#?charset=utf8mb4
class DataBaseClient:
def __init__(self):
self.engine = create_engine(f'mysql+pymysql://{username_db}:{password_db}@{host_db}/{name_db}')
if not database_exists(self.engine.url):
create_database(self.engine.url)
log.successfully('Database successfully created')
Base.metadata.create_all(self.engine)
Session = sessionmaker(bind=self.engine)
self.session = Session()
class ModelRecord(Base):
__tablename__ = 'Records'
number_record = Column(String(100), primary_key=True, unique = True, index = True)
record_categoty = Column(String(100))
title = Column(String(100))
price = Column(String(50))
class Controller:
def __init__(self,viewType=None):
'''
construct an instance of the controller class
to use invoke the method initialize
'''
## determine location
cwd = os.getcwd()
if os.path.split(cwd)[1] == 'gdiqt4':
self.baseDir = cwd
elif os.path.split(cwd)[1] == 'tests':
self.baseDir = os.path.join(os.path.split(cwd)[0],'gdiqt4')
else:
print "ERROR: cannot determine current working directory"
## basic application wide variables
self.viewType = viewType
self.appName = "Gene Data Integrator"
self.fontName = 'Arial' #'Helvetica'
self.verbose = True
self.reset_workspace()
def reset_workspace(self):
self.projectID = None
self.homeDir = None
self.model = Model()
self.log = Logger()
self.subsampleIndices = None
def save(self):
self.log.write()
def initialize_project(self,projectID,loadExisting=False):
self.projectID = projectID
self.homeDir = os.path.join(self.baseDir,"projects",self.projectID)
self.log.initialize(self.projectID,self.homeDir,load=loadExisting)
self.model.initialize(self.projectID,self.homeDir)
##################################################################################################
#
# data dealings -- handling file, project, model and figure data
#
##################################################################################################
def create_new_project(self,view=None,projectID=None):
#fcsFileName = str(fcsFileName)
createNew = True
## create projects dir if necssary
if os.path.isdir(os.path.join(self.baseDir,'projects')) == False:
print "INFO: projects dir did not exist. creating..."
os.mkdir(os.path.join(self.baseDir,'projects'))
## get project id
if projectID != None:
pass
elif createNew == True and projectID == None:
projectID, ok = QtGui.QInputDialog.getText(view, self.appName, 'Enter the name of your new project:')
projectID = str(projectID)
if ok == False:
createNew = False
else:
createNew = False
print "ERROR: creating a new project"
if createNew == True:
print 'initializing project...'
self.initialize_project(projectID)
else:
print "WARNING: did not initialize project"
return False
# remove previous
if self.homeDir != None and os.path.exists(self.homeDir) == True and createNew == True:
print 'overwriting...', self.homeDir
self.remove_project(self.homeDir)
if createNew == True and self.homeDir != None:
os.mkdir(self.homeDir)
os.mkdir(os.path.join(self.homeDir,"data"))
os.mkdir(os.path.join(self.homeDir,"figs"))
os.mkdir(os.path.join(self.homeDir,"models"))
os.mkdir(os.path.join(self.homeDir,"results"))
return True
def remove_project(self,homeDir):
for fileOrDir in os.listdir(homeDir):
if os.path.isfile(os.path.join(homeDir,fileOrDir)) == True:
os.remove(os.path.join(homeDir,fileOrDir))
elif os.path.isdir(os.path.join(homeDir,fileOrDir)) == True:
for fileOrDir2 in os.listdir(os.path.join(homeDir,fileOrDir)):
if os.path.isfile(os.path.join(homeDir,fileOrDir,fileOrDir2)) == True:
os.remove(os.path.join(homeDir,fileOrDir,fileOrDir2))
elif os.path.isdir(os.path.join(homeDir,fileOrDir,fileOrDir2)) == True:
for fileOrDir3 in os.listdir(os.path.join(homeDir,fileOrDir,fileOrDir2)):
if os.path.isfile(os.path.join(homeDir,fileOrDir,fileOrDir2,fileOrDir3)) == True:
os.remove(os.path.join(homeDir,fileOrDir,fileOrDir2,fileOrDir3))
elif os.path.isdir(os.path.join(homeDir,fileOrDir,fileOrDir2,fileOrDir3)) == True:
for fileName in os.listdir(os.path.join(homeDir,fileOrDir,fileOrDir2,fileOrDir3)):
os.remove(os.path.join(homeDir,fileOrDir,fileOrDir2,fileOrDir3,fileName))
os.rmdir(os.path.join(homeDir,fileOrDir,fileOrDir2,fileOrDir3))
os.rmdir(os.path.join(homeDir,fileOrDir,fileOrDir2))
os.rmdir(os.path.join(homeDir,fileOrDir))
os.rmdir(homeDir)
def rm_file(self,fileName):
if os.path.isfile(fileName) == False:
print "ERROR: could not rm file: %s"%fileName
else:
os.remove(fileName)
self.view.status.set("file removed")
def load_fcs_files(self,fileList,dataType='fcs',transform='log'):
if type(fileList) != type([]):
print "INPUT ERROR: load_fcs_files: takes as input a list of file paths"
script = os.path.join(self.baseDir,"LoadFile.py")
self.log.log['transform'] = transform
for filePath in fileList:
proc = subprocess.Popen("%s %s -f %s -h %s -d %s -t %s"%(pythonPath,script,filePath,self.homeDir,dataType,transform),
shell=True,
stdout=subprocess.PIPE,
stdin=subprocess.PIPE)
while True:
try:
next_line = proc.stdout.readline()
if next_line == '' and proc.poll() != None:
break
## to debug uncomment the following line
print next_line
except:
break
## check to see that files were made
newFileName = re.sub('\s+','_',os.path.split(filePath)[-1])
newFileName = re.sub('\.fcs|\.txt|\.out','',newFileName)
newDataFileName = newFileName +"_data_original.pickle"
newChanFileName = newFileName +"_channels_original.pickle"
newFileName = re.sub('\s+','_',filePath[-1])
if filePath == fileList[0]:
self.log.log['selectedFile'] = re.sub("\.pickle","",newDataFileName)
if os.path.isfile(os.path.join(self.homeDir,'data',newDataFileName)) == False:
print "ERROR: data file was not successfully created", os.path.join(self.homeDir,'data',newDataFileName)
if os.path.isfile(os.path.join(self.homeDir,'data',newChanFileName)) == False:
print "ERROR: channel file was not successfully created", os.path.join(self.homeDir,'data',newChanFileName)
#def load_additional_fcs_files(self,fileName=None,view=None):
# loadFile = True
# fcsFileName = None
# if fileName == None:
# fileName = QtGui.QFileDialog.getOpenFileName(self, 'Open FCS file')
#
# if not re.search('\.fcs',fileName):
# fcsFileName = None
# view.display_warning("File '%s' was not of type *.fcs"%fileName)
# else:
# fcsFileName = fileName
#
# if fcsFileName != None:
# self.load_fcs_file(fcsFileName)
# return True
# else:
# print "WARNING: bad attempt to load file name"
# return False
def get_component_states(self):
try:
return self.view.resultsNavigationLeft.get_component_states()
except:
return None
##################################################################################################
#
# log files
#
##################################################################################################
def run_selected_model(self,progressBar=None,view=None):
numItersMCMC = 1100
selectedModel = self.log.log['modelToRun']
numComponents = self.log.log['numComponents']
if self.subsampleIndices == None:
fileList = get_fcs_file_names(self.homeDir)
elif self.subsampleIndices != None:
fileList = get_fcs_file_names(self.homeDir,getPickles=True)
percentDone = 0
totalIters = float(len(fileList)) * numItersMCMC
percentagesReported = []
for fileName in fileList:
if selectedModel == 'dpmm':
script = os.path.join(self.baseDir,"RunDPMM.py")
if os.path.isfile(script) == False:
print "ERROR: Invalid model run file path ", script
proc = subprocess.Popen("%s %s -h %s -f %s -k %s"%(pythonPath,script,self.homeDir,fileName,numComponents),
shell=True,
stdout=subprocess.PIPE,
stdin=subprocess.PIPE)
while True:
try:
next_line = proc.stdout.readline()
if next_line == '' and proc.poll() != None:
break
## to debug uncomment the following 2 lines
if not re.search("it =",next_line):
print next_line
if re.search("it =",next_line):
progress = 1.0 / totalIters
percentDone+=progress * 100.0
if progressBar != None:
progressBar.move_bar(int(round(percentDone)))
else:
if int(round(percentDone)) not in percentagesReported:
percentagesReported.append(int(round(percentDone)))
if int(round(percentDone)) != 100:
print "\r",int(round(percentDone)),"percent complete",
else:
print "\r",int(round(percentDone)),"percent complete"
except:
break
else:
print "ERROR: invalid selected model", selectedModel
# -*- coding: utf-8 -*-
import socket
import struct
import json
import Event
import sys
from random import randint
from Logging import Logger
from Logging import Level
# 基本功能包
lftpSockets = []
logger = Logger("LFTP", Level.TRACE)
def createSocket(addr, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((addr, port))
lftpSocket = LftpSocket(sock)
lftpSocket.addr_src = sock.getsockname()
lftpSockets.append(lftpSocket)
Event.eventFd(sock.fileno(), handleDataAvailable, lftpSocket,
"DataReceived")
return lftpSocket
def closeSocket(lftpSocket):
''' Called by user application '''
for rs in lftpSockets:
if rs == lftpSocket:
logger.log(Level.INFO, "Closing socket:" + str(rs))
def reset_workspace(self):
self.projectID = None
self.homeDir = None
self.model = Model()
self.log = Logger()
self.subsampleIndices = None
def handle_reduce_dataset(self):
dsm = self.REDUCER_OF_CLASS[self.command_args.reducer_type](self.command_args.target_dimension, self.RECORDING_CONF)
dsm.load_learning_dataset(self.command_args.input_path) #standardize=self.command_args.normalize)
current_time = datetime.datetime.now().strftime("%Y%m%d_%I%M%S")
dsm.save(self.command_args.output_path + "_" + current_time+ ".reduced")
Logger.log("AudioIdentificationCommandline: data reduced to: %s" % self.command_args.output_path + "_" + current_time+ ".reduced")
def handle_classify(self):
classifier = Classifier.loader(self.command_args.input_path)
base_path, file_name = os.path.split(self.command_args.output_path)
prediction = classifier.predict_object_label_for_file(base_path, file_name,self.RECORDING_CONF, self.ORIGINAL_FILE_PATH, self.ORIGINAL_FILE_NAME)
Logger.log("Prediction: %s" % prediction)
'''
Created on May 10, 2013
@author: Saulius Alisauskas
'''
import socket
import struct
import json
import Event
import sys
from random import randint
from Logging import Logger
from Logging import Level
rudpSockets = []
logger = Logger("RUDP", Level.TRACE)
def createSocket(addr, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((addr, port))
rudpSocket = RudpSocket(sock)
rudpSocket.addr_src = sock.getsockname()
rudpSockets.append(rudpSocket)
Event.eventFd(sock.fileno(), handleDataAvailable, rudpSocket,
"DataReceived")
return rudpSocket
def closeSocket(rudpSocket):
''' Called by user application '''
def evaluate_accuracy_on_test_set(self, test_set_path):
self.load_test_set_from_folder(test_set_path)
predicted_y = self.obj_classifier.predict(self.datasets.x_test)
# Note this is tightly coupled with the definitions in AudioDatasets - should be fixed and updated with the right names
target_names = ["C","K", "M", "S"]
Logger.log(classification_report(self.datasets.y_obj_test, predicted_y, target_names=target_names))
class Connector:
def __init__(self):
self.conn_type = c.CONNECTOR_TYPE
self.log = Logger()
if self.conn_type == 'DB':
self.conn = DBConnector()
else:
self.log.log_message('NCS')
def query_accounts(self, name):
if self.conn_type == 'DB':
return self.conn.check_accounts(name)
else:
self.log.log_message('NCS')
def add_account(self, name, account_number, balance, balance_limit):
if self.conn_type == 'DB':
self.conn.add_account(name, account_number, balance, balance_limit)
else:
self.log.log_message('NCS')
def remove_record(self):
pass
def charge_account(self, name, amount):
if self.conn_type == 'DB':
self.conn.charge_account(name, amount)
else:
self.log.log_message('NCS')
def credit_account(self, name, amount):
if self.conn_type == 'DB':
self.conn.credit_account(name, amount)
else:
self.log.log_message('NCS')
def account_balances(self):
if self.conn_type == 'DB':
self.conn.account_balances()
else:
self.log.log_message('NCS')
class Controller:
def __init__(self,debug=False):
'''
construct an instance of the controller class
to use invoke the method initialize
'''
## basic application wide variables
self.appName = "lpEdit"
self.debug = debug
self.maxDocuments = 16
self.version = __version__
self.baseDir = __basedir__
if self.debug == True:
self.verbose = True
else:
self.verbose = False
## initialize
self.reset_all()
def reset_all(self):
"""
reset all variables and the layout
"""
self.log = Logger()
self.currentFileIndex = 0
self.sphinxProjectBase = None
self.fileNameList = [None for i in range(self.maxDocuments)]
self.filePathList = [None for i in range(self.maxDocuments)]
self.fileLangList = [None for i in range(self.maxDocuments)]
self.editorList = [None for i in range(16)]
self.background = []
def load_file(self,filePath,verbose=True,fileLang=None):
'''
takes a file path and loads the file into lpEdit
'''
## ensure we have absolute file path
if filePath != None:
filePath = os.path.realpath(filePath)
if os.path.exists(filePath) == False:
print "WARNING: controller.load_file -- bad file path specified"
## check to see if already loaded
fileName = os.path.split(filePath)[-1]
if fileName in self.fileNameList:
if verbose == True:
print "WARNING: file of same name already loaded -- aborting load"
return False
numActive = self.get_number_active_files()
if numActive >= self.maxDocuments:
if verbose == True:
print "WARNING: too many files already open -- aborting load"
self.currentFileIndex = numActive
self.filePathList[self.currentFileIndex] = filePath
self.fileNameList[self.currentFileIndex] = fileName
if fileLang != None:
self.fileLangList[self.currentFileIndex] = fileLang
elif re.search("\.Rnw|\.rnw",fileName):
self.fileLangList[self.currentFileIndex] = 'R'
else:
self.fileLangList[self.currentFileIndex] = 'Python'
## set the sphinx project path
if self.sphinxProjectBase == None:
self.sphinxProjectBase = os.path.split(filePath)[0]
return True
def remove_file(self,fileName):
'''
removes a file from the list of loaded files'
'''
if fileName not in self.fileNameList:
print "ERROR: Controller cannot remove file that is not present -- ignoring"
return
## variables to change
fileToRemoveIndex = self.fileNameList.index(fileName)
fileName = self.fileNameList[fileToRemoveIndex]
filePath = self.filePathList[fileToRemoveIndex]
editor = self.editorList[fileToRemoveIndex]
## close the editor
if editor != None:
editor.close()
self.fileNameList.remove(fileName)
self.filePathList.remove(filePath)
self.editorList.pop(fileToRemoveIndex)
self.fileLangList.pop(fileToRemoveIndex)
self.fileNameList = self.fileNameList + [None]
self.filePathList = self.filePathList + [None]
self.editorList = self.editorList + [None]
self.fileLangList = self.fileLangList + [None]
def clean_file(self,filePath):
'''
function to be used with unittests to ensure examples are working
may also be used to ensure a new project
'''
filePathBase = os.path.split(filePath)[0]
fileName = os.path.split(filePath)[-1]
pdfFilePath = re.sub("\.rnw|\.nw|.rst",".pdf",filePath,flags=re.IGNORECASE)
if re.search("\.rnw|\.nw",fileName,flags=re.IGNORECASE):
dirName = "_latex"
else:
dirName = "_sphinx"
dirPath = os.path.join(filePathBase,dirName)
if os.path.isdir(dirPath) == False:
return
## remove pdf file if present
if os.path.exists(pdfFilePath):
os.remove(pdfFilePath)
## remove all files in lp generated dir
if os.path.isdir(dirPath):
shutil.rmtree(dirPath)
def save(self):
'''
saves changes to the log file
'''
self.log.write()
def get_python_path(self,mainWindow=None):
'''
attempts to find the python path based on the system path and by searching
'''
if self.log.log['python_path'] != None:
pythonPath = self.log.log['python_path']
if os.path.exists(pythonPath) == False:
msg = "ERROR: Controller -- given python path does not exist -- using default"
if mainWindow != None:
mainWindow.display_info(msg)
print msg
else:
return pythonPath
cmdsToTry = ['python','python2.8','python2.7','python2.6']
for cmd in cmdsToTry:
pythonPath = self.find_command_path(cmd)
if pythonPath != None and os.path.exists(pythonPath):
return pythonPath
return None
def find_command_path(self,cmd):
"""
used to search for a given command on a multiple operating systems
"""
## try to see if cmd is in the system path
cmdPath = None
try:
if sys.platform == 'win32':
p = os.popen('where %s'%cmd)
else:
p = os.popen('which %s'%cmd)
cmdPath = p.readline()
cmdPath = cmdPath[:-1]
except:
cmdPath = None
if cmdPath != None and os.path.exists(cmdPath):
return cmdPath
## look for cmd in several commonly installed places
if sys.platform == 'win32':
pathsToTry = []
if cmd == 'python':
pathsToTry = ["C:\Python28\python.exe",
"C:\Python27\python.exe",
"C:\Python26\python.exe"]
elif sys.platform == 'darwin':
pathsToTry = [os.path.join("/","usr","bin",cmd),
os.path.join("/","usr","local","bin",cmd),
os.path.join("/","opt","local","bin",cmd)]
else:
pathsToTry = [os.path.join("/","usr","bin",cmd),
os.path.join("/","usr","local","bin",cmd)]
for cmdPath in pathsToTry:
if cmdPath != None and os.path.exists(cmdPath) == True:
return cmdPath
return None
def get_sphinx_path(self,mainWindow=None):
"""
attempts to find the sphinx (sphinx-build) path based on the system path and by searching
"""
if self.log.log['sphinx_path'] != None:
sphinxPath = self.log.log['sphinx_path']
if os.path.exists(sphinxPath) == False:
msg = "ERROR: Controller -- given sphinx path does not exist -- using default"
if mainWindow != None:
mainWindow.display_info(msg)
print msg
else:
return sphinxPath
cmdsToTry = ['sphinx-build','sphinx-build-2.8','sphinx-build-2.7','sphinx-build-2.6']
for cmd in cmdsToTry:
sphinxPath = self.find_command_path(cmd)
if sphinxPath != None and os.path.exists(sphinxPath):
return sphinxPath
return None
def get_latex_path(self,mainWindow=None):
'''
returns the latex path based on the system path or a provided one
'''
if self.log.log['latex_path'] != None:
latexPath = self.log.log['latex_path']
if os.path.exists(latexPath) == False:
msg = "ERROR: Controller -- given latex path does not exist -- using default"
if mainWindow != None:
mainWindow.display_info(msg)
print msg
else:
return latexPath
cmdsToTry = ['pdflatex']
for cmd in cmdsToTry:
latexPath = self.find_command_path(cmd)
if latexPath != None and os.path.exists(latexPath):
return latexPath
return None
def find_r_path_windows(self):
dirsToTry = ["C:/Program Files/R","C:/Program Files (x86)/R"]
r_path = None
for rbaseDir in dirsToTry:
if os.path.isdir(rbaseDir) == False:
continue
installedInstances = os.listdir(rbaseDir)
if len(installedInstances) > 0:
installedInstances.sort()
rdir = installedInstances[-1]
r_path = os.path.join(rbaseDir,rdir,"bin","R.exe")
break
return r_path
def get_latex2html_path(self):
"""
returns the path of the specified program to convert latex to html
"""
if self.log.log['latex2html_path'] != None:
rPath = self.log.log['latex2html_path']
if sys.platform == 'win32':
pthsToTry = ["C:/Program Files/latex2html.exe",
"C:/Program Files (x86)/latex2html.exe",
"C:/Program Files/tth.exe",
"C:/Program Files (x86)/tth.exe"]
else:
pthsToTry = ["/usr/bin/latex2html",
"/usr/local/bin/latex2html",
"/opt/local/bin/latex2html",
"/usr/bin/tth",
"/usr/local/bin/tth",
"/opt/local/bin/tth"]
latex2html_path = None
for pth in pthsToTry:
if os.path.exists(pth) == True:
latex2html_path = pth
break
return latex2html_path
def get_r_path(self,mainWindow=None):
'''
returns the r path based on the system path or a provided one
'''
if self.log.log['r_path'] != None:
rPath = self.log.log['r_path']
if os.path.exists(rPath) == False:
msg = "ERROR: Controller -- given R path does not exist -- Please install R or specify a new path"
if mainWindow != None:
mainWindow.display_info(msg)
print msg
else:
return rPath
## windows
if sys.platform == 'win32':
rPath = self.find_r_path_windows()
return rPath
cmdsToTry = ['R']
for cmd in cmdsToTry:
rPath = self.find_command_path(cmd)
if rPath != None and os.path.exists(rPath):
return rPath
return None
def find_adobe_path_windows(self):
"""
finds the adobe acrobat program file path in windows
"""
dirsToTry = ["C:/Program Files/Adobe","C:/Program Files (x86)/Adobe"]
adobe_path = None
for abaseDir in dirsToTry:
if os.path.isdir(abaseDir) == False:
continue
installedInstances = os.listdir(abaseDir)
if len(installedInstances) > 0:
installedInstances.sort()
adir = installedInstances[-1]
adobe_path = os.path.join(abaseDir,adir,"Reader","AcroRd32.exe")
break
return adobe_path
def get_pdfviewer_path(self,mainWindow=None):
"""
finds the pdfviewer path (on windows it looks for adobe)
"""
if self.log.log['pdfviewer_path'] != None:
pdfviewerPath = self.log.log['pdfviewer_path']
## exceptions
if pdfviewerPath == 'open' and sys.platform == 'darwin':
return pdfviewerPath
if os.path.exists(pdfviewerPath) == False:
msg = "ERROR: the pdfviewer path does not exist -- using default"
if mainWindow != None:
mainWindow.display_info(msg)
print msg
else:
return pdfviewerPath
if sys.platform == 'win32':
return self.find_adobe_path_windows()
elif sys.platform == 'darwin':
return "open"
cmdsToTry = ['okular','evince','acroread']
for cmd in cmdsToTry:
pdfviewerPath = self.find_command_path(cmd)
if pdfviewerPath != None and os.path.exists(pdfviewerPath):
return pdfviewerPath
return None
def ensure_dir_present(self,filePath):
"""
Given a file path create a dir next to the Rnw or otherwise valid file
It is assumed that the same root used for all open rst files
"""
fileName = os.path.split(filePath)[-1]
if re.search("\.rnw|\.nw",fileName,flags=re.IGNORECASE):
lpDirName = "_latex"
filePathBase = os.path.split(filePath)[0]
elif re.search("\.rst",fileName,flags=re.IGNORECASE):
lpDirName = "_sphinx"
filePathBase = self.sphinxProjectBase
lpDirPath = os.path.join(filePathBase,lpDirName)
## create the directory if necessary
if os.path.isdir(lpDirPath) == False:
os.mkdir(lpDirPath)
return lpDirPath
def get_number_active_files(self):
'''
returns the number of active files
'''
totalActive = 0
for fileName in self.fileNameList:
if fileName != None:
totalActive += 1
return totalActive
def sanitize_check(self,script):
"""
standard function to sanitize file name inputs
"""
if re.search(">|<|\*|\||^\$|;|#|\@|\&",script):
return False
else:
return True
def get_templates_dir(self):
"""
return the directory path for templates
"""
templatesDir = os.path.realpath(os.path.join(self.baseDir,'templates'))
return templatesDir
def get_styfiles_dir(self):
"""
return the directory path for sty files
"""
styfilesDir = os.path.realpath(os.path.join(self.baseDir,'styfiles'))
return styfilesDir
def get_sphinx_files_dir(self):
"""
return the directory path for sphinx files
"""
sphinxfilesDir = os.path.realpath(os.path.join(self.baseDir,'sphinxfiles'))
return sphinxfilesDir
def initialize_sphinx_project(self,filePath):
"""
If necessary create index.rst and conf.py and subdirectories
"""
## variables
sphinxDir = self.get_sphinx_files_dir()
filePathBase,fileName = os.path.split(filePath)
## check to see if index.rst and conf.py need to be created
for fName in ["conf.py"]:
fPath = os.path.join(self.sphinxProjectBase,fName)
if os.path.exists(fPath) == False:
shutil.copy(os.path.join(sphinxDir,fName),fPath)
createIndex = False
for fName in ["index.rst"]:
fPath = os.path.join(self.sphinxProjectBase,fName)
if os.path.exists(fPath) == False:
createIndex = True
## create the _build and _source dirs if necessary
for dirName in ["_build", "_source","_static",]:
if os.path.isdir(os.path.join(self.sphinxProjectBase,'_sphinx',dirName)) == False:
os.mkdir(os.path.join(self.sphinxProjectBase,'_sphinx',dirName))
## add to any newly created index.rst if one does not exist
if createIndex == True:
indexFilePath = os.path.join(self.sphinxProjectBase,'index.rst')
fid = open(indexFilePath,'w')
fid.write(".. master file, created automatically by lpEdit\n")
fid.write("\nContents\n=========================\n\n")
fid.write(".. toctree::\n :maxdepth: 1\n\n")
for rstFile in os.listdir(os.path.join(self.sphinxProjectBase)):
if not re.search("\.rst",rstFile):
continue
if rstFile == 'index.rst':
continue
fid.write(" %s\n"%re.sub("\.rst","",rstFile,flags=re.IGNORECASE))
fid.close()
shutil.copy(indexFilePath,os.path.join(dirPath,'index.rst'))
def copy_sphinx_files(self):
"""
Move all source files into target dir unless already present
sphinx files can exist in a directory without a leading underscore
directory trees can be only 1 subdirectory deep however
"""
def create_link(source,target):
if os.path.islink(target):
return
os.symlink(source,target)
dirRoot = self.sphinxProjectBase
for fName in os.listdir(dirRoot):
sourceFilePath = os.path.join(dirRoot,fName)
targetFilePath = os.path.join(dirRoot,'_sphinx',fName)
if re.search("\.rst",fName,flags=re.IGNORECASE):
if re.search("\~$|\.backup",fName):
continue
if os.path.exists(targetFilePath) == False:
shutil.copy(sourceFilePath,targetFilePath)
elif os.path.isdir(fName) and fName[0] != '_':
subdirRoot = os.path.join(self.sphinxProjectBase,fName)
## create subdir if needed
subdirName = fName
if not os.path.isdir(os.path.join(dirRoot,'_sphinx',subdirName)):
os.mkdir(os.path.join(dirRoot,'_sphinx',subdirName))
for ffName in os.listdir(subdirRoot):
sourceFilePath = os.path.join(subdirRoot,ffName)
subdirName = os.path.basename(os.path.dirname(sourceFilePath))
targetFilePath = os.path.join(dirRoot,'_sphinx',subdirName,ffName)
if re.search("\.rst",ffName,flags=re.IGNORECASE):
if re.search("\~$|\.backup",ffName):
continue
if os.path.exists(targetFilePath) == False:
shutil.copy(sourceFilePath,targetFilePath)
elif not os.path.isdir(sourceFilePath):
create_link(sourceFilePath,targetFilePath)
else:
if re.search("\~$|\.backup|^\.",fName) or fName[0] == '_':
continue
create_link(sourceFilePath,targetFilePath)
def language_quickcheck(self,chunksFilePath,fileLanguage):
"""
look into the extracted code and see if there are obvious
signs that the language selected is incorrect
"""
## variables
pythonSpecific = ["import","from"]
rSpecific = ["<-"]
fileLanguage = fileLanguage.lower()
if os.path.exists(chunksFilePath) == False:
return
fid = open(chunksFilePath,'r')
isValid = True
for linja in fid:
if fileLanguage == 'python':
for kw in rSpecific:
if re.search(kw,linja):
isValid = False
if fileLanguage == 'r':
for kw in pythonSpecific:
if re.search(kw,linja):
isValid = False
fid.close()
return isValid
#coding:utf-8
from fcoin3 import Fcoin
from Logging import Logger
import time
import json
import sys
import traceback
import math
import config
fcoin = Fcoin()
fcoin.auth(config.key, config.secret) # 授权
# 写日志
log = Logger('all.log', level='debug')
# 例子
# log.logger.debug('debug')
# log.logger.info('info')
# log.logger.warning('警告')
# log.logger.error('报错')
# log.logger.critical('严重')
#平价买卖
def get_ticket1():
r = fcoin.get_market_ticker(config.symbol['name'])
num = (r['data']['ticker'][2] + r['data']['ticker'][4]) / 2.0
return pricedecimal(num) #精度控制
class ScrappOlx:
def __init__(self):
self.log = Logger().custom_logger()
self.db_client = DataBaseClient()
opts = Options()
opts.log.level = "fatal"
self.driver = webdriver.Firefox(executable_path=path_to_driver,
options=opts)
self.driver.implicitly_wait(60)
self.wait = WebDriverWait(self.driver, 60)
self.start_url = start_url
def parse(self):
self.driver.get(start_url)
self.log.start('Pareser started ad {}'.format(start_url))
self.wait.until(
EC.element_to_be_clickable(
(By.XPATH, '//*[@id="homeShowAllAds"]')))
self.all_caregories = self.driver.find_elements(
By.XPATH,
'//div[contains(@class, "subcategories-list")]/div/a[contains(@class, "inlblk")]'
)
self.hrefs_to_categorys = (no_blank for no_blank in (
item.get_attribute('href') for item in self.all_caregories)
if len(no_blank) > 2)
#возвращаем ссылки на все категории
return self.hrefs_to_categorys
def get_info_category(self):
hrefs = self.parse()
for item in hrefs:
self.first_page = True
self.driver.get(item)
self.log.info(f'Getting info from category {item}')
self.max_page = self.driver.find_elements(
By.XPATH,
'//span[contains(@class, "item fleft")][last()]')[0].text
for number in range(1, int(self.max_page) + 1):
if not self.first_page:
self.new_url = item + f'?page={number}'
self.driver.get(self.new_url)
all_records_on_page = self.driver.find_elements(
By.XPATH,
'//tr[contains(@class, "wrap")]//a[contains(@class, "linkWithHash detailsLink")]'
)
href_to_records = [
item.get_attribute('href') for item in all_records_on_page
]
self.first_page = False
href_to_records = list(set(href_to_records))
self.get_info_record(href_to_records)
def get_phone_number(self):
try:
self.driver.find_element(
By.XPATH,
'//div[contains(@id, "cookiesBar")]/button[contains(@class, "cookiesBarClose")]'
).click()
except Exception as err:
pass
try:
self.wait.until(
EC.element_to_be_clickable((
By.XPATH,
'//div[contains(@class, "contact-button link-phone")]/strong[contains(@class, "xx-large")]'
))).click()
phone = self.driver.find_element(
By.XPATH,
'//div[contains(@class, "contact-button link-phone")]/strong[contains(@class, "xx-large")]'
).text
test = search(r'\d+', phone)
except (exceptions.TimeoutException,
exceptions.NoSuchElementException) as no_element:
test = 1
self.log.warning(f'No phone on record: {self.driver.current_url}')
phone = ' '
except exceptions.StaleElementReferenceException as err:
self.driver.refresh()
try:
self.wait.until(
EC.element_to_be_clickable((
By.XPATH,
'//div[contains(@class, "contact-button link-phone")]/strong[contains(@class, "xx-large")]'
))).click()
phone = self.driver.find_element(
By.XPATH,
'//div[contains(@class, "contact-button link-phone")]/strong[contains(@class, "xx-large")]'
).text
test = search(r'\d+', phone)
except (exceptions.TimeoutException,
exceptions.NoSuchElementException) as no_element:
test = 1
self.log.warning(
f'No phone on record: {self.driver.current_url}')
phone = ' '
while not test:
if phone == 'Показать телефон':
self.wait.until(
EC.element_to_be_clickable((
By.XPATH,
'//div[contains(@class, "contact-button link-phone")]/strong[contains(@class, "xx-large")]'
))).click()
phone = self.driver.find_element(
By.XPATH, '//strong[contains(@class, "xx-large")]').text
test = search(r'\d+', phone)
return phone
def get_info_record(self, hrefs):
for item in hrefs:
self.log.info(f'Start parse record\n{item}')
self.driver.get(item)
self.wait.until(
EC.element_to_be_clickable(
(By.XPATH, '//span[contains(@class, "link inlblk")]')))
try:
no_active = driver.find_element(By.XPATH, '//h3/strong').text
is_record_active = False
except:
is_record_active = True
if is_record_active:
info = self.driver.find_elements(
By.XPATH, '//a[contains(@class, "link nowrap")]/span')
city = info[0].text.split(' ')[-1]
try:
record_categoty = f'{info[1].text.replace(city, "")} --> {info[2].text.replace(city, "")}'
except:
record_categoty = f'{info[1].text.replace(city, "")}'
title = self.driver.find_element(
By.XPATH,
'//div[contains(@class, "offer-titlebox")]/h1').text
price = self.driver.find_element(
By.XPATH, '//div[contains(@class, "pricelabel")]').text
description = self.driver.find_element(
By.XPATH, '//div[contains(@id, "textContent")]').text
bottombar_items = self.driver.find_elements(
By.XPATH,
'//div[contains(@id, "offerbottombar")]/ul/li//strong')
date_publish = bottombar_items[0].text.replace('в', '')
views = bottombar_items[1].text
number_record = bottombar_items[2].text
name_user = self.driver.find_element(
By.XPATH,
'//div[contains(@class, "offer-user__actions")]/h4').text
phone = self.get_phone_number()
try:
image_href = self.driver.find_element(
By.XPATH,
'//div[contains(@id, "descImage")]/img').get_attribute(
'src')
except Exception as err:
self.log.warning(f'Can not get image href: {err.args}')
record_url = self.driver.current_url
try:
record = ModelRecord(number_record=number_record,
record_categoty=record_categoty,
title=title,
price=price,
description=description,
date_publish=date_publish,
views=views,
name_user=name_user,
phone=phone,
image_href=image_href,
record_url=record_url)
self.db_client.session.merge(record)
self.db_client.session.commit()
self.log.info(f'Record {number_record} added to DB')
except Exception as err:
self.log.error(
'Record {number_record} nont added to DB {err.args}')
def __del__(self):
self.driver.clsoe()
self.log.info('Scrapping end')
logger.write("Cant load music {} because: {}".format(name, ex),
logger.ERROR)
def text(text, color):
font = pygame.font.Font(None, 30)
string_rendered = font.render(text, 1, color)
return string_rendered
def terminate():
pygame.quit()
sys.exit()
def load_background(photo):
# Photo должно лежать в папке sprites
return pygame.transform.scale(load_image(photo), (width, height))
pygame.init()
size = width, height = 608, 608
screen_rect = pygame.Rect(0, 0, width, height)
screen = pygame.display.set_mode(size)
pygame.display.set_caption("Tanks 2D")
logger = Logger() # Логирование событий в текстовик
pygame.display.set_icon(load_image("icon.png"))
def run(self, initial_point):
additional_data = {}
n = initial_point.get_number_of_dimensions()
for i in range(n):
#if(initial_point.getElement(0, i) < self.lower_bounds[i] or initial_point.getElement(0, i) > self.upper_bounds[i]):
if not self.explicit_constraints[i].is_satisfied(
initial_point.get_value_at_dimension(i)):
print "The given initial_point is not within the explicit constraints."
return
centroid = initial_point.copy()
accepted_points = []
accepted_points.append(initial_point)
for t in range(2 * n):
elements = []
for i in range(n):
elements.append(0)
R = random.uniform(0, 1)
elements[i] = self.explicit_constraints[i].get_lower_bound(
) + R * (self.explicit_constraints[i].get_upper_bound() -
self.explicit_constraints[i].get_lower_bound())
new_point = Point(elements)
for j in range(len(self.implicit_constraints)):
while (not self.implicit_constraints[j].is_satisfied(new_point)
):
new_point = (new_point + centroid).multiply_by_scalar(0.5)
accepted_points.append(new_point)
#calculate new centroid (with new accepted initial_point)
sum_elements = []
for i in range(n):
sum_elements.append(0)
sum = Point(sum_elements)
for i in range(len(accepted_points)):
sum = sum + accepted_points[i]
#centroid = sum/(simplex.length - 2);
centroid = sum.multiply_by_scalar(1.0 / len(accepted_points))
keepGoing = True
iteration_number = 1
logger = Logger(self.function)
logger.set_implicit_constraints(self.implicit_constraints)
while (keepGoing):
MIN = float('-inf')
max = MIN
value_at_xh = MIN
value_at_xh2 = MIN
xh_index = 0
xh2_index = 0
for i in range(len(accepted_points)):
if (self.function.value_at(accepted_points[i]) >
self.function.value_at(accepted_points[xh_index])):
xh2_index = xh_index
xh_index = i
#calculate centroid without xh
sum_elements = []
for i in range(n):
sum_elements.append(0)
sum = Point(sum_elements)
#for (int i = 0; i < accepted_points.size(); i++) {
for i in range(len(accepted_points)):
if (i == xh_index):
pass
else:
sum = sum + accepted_points[i]
#centroid = Matrix.scalarMultiply(sum, (1.0/(len(accepted_points) - 1)))
centroid = sum.multiply_by_scalar(
(1.0 / (len(accepted_points) - 1)))
xr = self.reflect(centroid, accepted_points[xh_index], self.alpha)
for i in range(n):
#if(xr.getElement(0,i) < self.lower_bounds[i]):
lower_bound = self.explicit_constraints[i].get_lower_bound()
upper_bound = self.explicit_constraints[i].get_upper_bound()
if (xr.get_value_at_dimension(i) < lower_bound):
xr.set_value_at_dimension(i, lower_bound)
elif (xr.get_value_at_dimension(i) > upper_bound):
xr.set_value_at_dimension(i, upper_bound)
for i in range(len(self.implicit_constraints)):
while (not self.implicit_constraints[i].is_satisfied(xr)):
xr = (xr + centroid).multiply_by_scalar(0.5)
if (self.function.value_at(xr) > self.function.value_at(
accepted_points[xh2_index])):
xr = (xr + centroid).multiply_by_scalar(0.5)
accepted_points[xh_index] = xr
keepGoing = False
for i in range(len(accepted_points)):
if (abs(
self.function.value_at(accepted_points[i]) -
self.function.value_at(centroid)) > self.epsilon):
keepGoing = True
#TODO check if this is the correct place to log the additional_data points
xh_description = "xh - The initial_point in which the function value is highest"
xr_description = "xr - Reflected initial_point"
xc_description = "xc - Centroid"
xh_tuple = (accepted_points[xh_index], xh_description)
xr_tuple = (xr, xr_description)
xc_tuple = (centroid, xc_description)
additional_data["xh"] = xh_tuple
additional_data["xr"] = xr_tuple
additional_data["xc"] = xc_tuple
currentIteration = Iteration(iteration_number,
self.function.value_at(centroid),
centroid, additional_data,
self.function.get_number_of_calls())
logger.add_iteration(currentIteration)
iteration_number = iteration_number + 1
return centroid, logger
class AccountManager:
# @param name string Name of the account owner
# @param account_number int Account number
# @param balance int Account balance
# return None
def __init__(self,
name="",
account_number=0,
balance=0,
balance_limit=0,
amount=0):
self.connector = Connector()
self.log = Logger()
if amount > 0:
self.name = name
self.amount = amount
elif type(name) == str and type(account_number) == int and type(
balance_limit) == int:
self.name = name
self.account_number = account_number
self.balance = balance
self.balance_limit = balance_limit
self.amount = amount
else:
self.log.log_message('ICPT')
pass
# account_check does a count to see if the account name exists
# @param name string Name of the account owner
# return Boolean
def account_check(self, name):
if self.connector.query_accounts(name):
self.log.log_message('NAE')
return False
else:
return True
# add adds an account to the database
# return None
def add(self):
if self.name: # check for null string in name parameter
if self.account_number > 0 and self.balance_limit > 0:
self.connector.add_account(self.name, self.account_number,
self.balance, self.balance_limit)
else:
self.log.log_message('IANB')
else:
self.log.log_message('NNP')
# charge increases the account balance based on the amount given
# @param name string Name of the account owner
# @param amount int amount to increment the balance by
# return None
def charge(self):
if self.connector.query_accounts(self.name):
if self.amount > 0:
self.connector.charge_account(self.name, self.amount)
else:
self.log.log_message('ANOZ')
else:
pass
# credit decreases the account balance based on the amount given
# @param name string Name of the account owner
# @param amount int amount to increment the balance by
# return None
def credit(self):
if self.connector.query_accounts(name=self.name):
if self.amount > 0:
self.connector.credit_account(self.name, self.amount)
else:
self.log.log_message('ANOZ')
else:
pass
# balances prints out the accounts and balances in the correct format and in alphabetical order
# return None
def balances(self):
self.connector.account_balances()
if not cfg.randomize:
# set fixed seed
random.seed(cfg.seed)
np.random.seed(cfg.seed)
torch.manual_seed(cfg.seed)
torch.cuda.manual_seed(cfg.seed)
log_path = os.path.join(cfg.log_dir, cfg.exp_name)
mkdir_if_missing(log_path)
snap_path = os.path.join(cfg.snap_dir, cfg.exp_name)
mkdir_if_missing(snap_path)
summary_writer = None
if not cfg.no_log:
log_name = cfg.exp_name + "_log_" + \
strftime("%Y-%m-%d_%H-%M-%S", gmtime()) + '.txt'
sys.stdout = Logger(os.path.join(log_path, log_name))
summary_writer = SummaryWriter(log_dir=log_path)
print("Input Args: ")
pprint.pprint(cfg)
train_loader, test_loader, num_classes, img_size = get_data_loader(
data_name=cfg.data_name,
data_dir=cfg.data_dir,
batch_size=cfg.batch_size,
test_batch_size=cfg.eval_batch_size,
num_workers=4)
model = create_model(name=cfg.model_name, num_classes=num_classes)
# optimizer = torch.optim.Adam(model.parameters(), lr=cfg.lr,
# weight_decay=0.0005, amsgrad=False)
optimizer = torch.optim.SGD(model.parameters(),