def __init__(self, xl_file):
book = load_workbook(xl_file)
sheet = book.get_active_sheet()
data = sheet.range("d2:g25")
results = []
for row in data:
team1, s1, s2, team2 = (cell.value for cell in row)
team1 = self.fix_name(team1)
team2 = self.fix_name(team2)
results.append((u'%s-%s'%(team1, team2), (s1, s2)))
self.data = results
def __init__(self, xl_file):
book = load_workbook(xl_file)
sheet = book.get_active_sheet()
data = sheet.range("d2:g25")
results = []
for row in data:
team1, s1, s2, team2 = (cell.value for cell in row)
team1 = self.fix_name(team1)
team2 = self.fix_name(team2)
results.append((u'%s-%s' % (team1, team2), (s1, s2)))
self.data = results
import json
import symbols
import prices
import prediction
import results
#Open config.json
f = open("config.json", encoding='utf-8')
#Load config.json
config = json.load(f)
print("Reading Symbols")
symbol_list = symbols.get_list(config)
print(str(len(symbol_list)) + " Files Found")
#Create ValidationFile.csv File
print("Create Result File")
results.create(config)
steps = 0
resultlist = prediction.create_resultlist(config)
while True:
steps += 1
print("Saving Prices File……")
validationList = prices.save_prices_file(config, symbol_list)
print("Start Prediction……")
resultlist = prediction.calculate_winrate(config, validationList,
resultlist, steps)
results.append(config, resultlist)
print("Step " + str(steps) + " Finished.")
def make_username_generators(current_guess):
results = []
for next_guess in users.charset():
results.append(users.generate_username(current_guess + next_guess))
return results
def make_username_generators(current_guess):
results = []
for next_guess in users.charset():
results.append(users.generate_username(current_guess + next_guess))
return results
label = r'Average island radius growth rate / $(v_g / F^{0.11})$'
plt.ylabel(label)
label = r'Time-averaged total rate $ < R >_t/F^{0.79} $'
plt.xlabel(label)
plt.grid(True)
temperatures = list(range(120, 321, 5))
workingPath = os.getcwd()
results = results.Results()
for i in range(-6, 1):
folder = "flux3.5e" + str(i)
flux = float("3.5e" + str(i))
print(folder)
try:
os.chdir(folder)
results.append(mk.getIslandDistribution(temperatures, False, False))
except OSError:
print("error changing to {}".format(folder))
os.chdir(workingPath)
vs = results.growthSlope()
vg = results.gyradius()
y = vs / (vg / flux**0.11)
x = results.totalRatio() / flux**0.79
plt.loglog(x, y, label=folder)
plt.legend(loc='upper left', prop={'size': 6})
plt.savefig("vsVgVsRate.png")
plt.close()
print("Good bye!")
def EvaluateDataset(gt_sequences, results_sequence):
results = []
for gt, res in zip(gt_sequences, results_sequence):
results.append(EvaluateSequence(gt, res))
return results