def processa(exs_a_rodar):
    BA = nx.barabasi_albert_graph(N_redes, K_medio)
    ER = nx.erdos_renyi_graph(N_redes, K_medio / N_redes)

    if 1 in exs_a_rodar:
        ex1(BA, ER)
    if 2 in exs_a_rodar:
        ex2(BA, ER)
    if 3 in exs_a_rodar:
        ex3(BA, ER)
    if 4 in exs_a_rodar:
        ex4(BA, ER)
    if 5 in exs_a_rodar:
        ex5(BA)
Exemple #2
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def ex2():
    x = 1.0
    u = ex1.ex1()
    y = u
    z = u
    string_ret = 'Asocitativitatea este:'
    a = ((x + y) + z == x + (y + z))
    string_ret = string_ret + ' ' + str(a) + '<br>'

    while (x * y) * z == x * (y * z):
        x = random.uniform(0, 1.0)
        y = random.uniform(0, 1.0)
        z = random.uniform(0, 1.0)
    string_ret = string_ret + '<br> Valori pentru care inmultirea nu este asociativa: ' + '<br>' + str(
        x) + ' ' + str(y) + ' ' + str(z)
    return string_ret
Exemple #3
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from astrometry.util.file import *

if __name__ == '__main__':

    if False:
        from matplotlib.cm import register_cmap
        _antigray_data = {
            'red': ((0., 1, 1), (1., 0, 0)),
            'green': ((0., 1, 1), (1., 0, 0)),
            'blue': ((0., 1, 1), (1., 0, 0))
        }
        register_cmap(name='gist_yarg', data=_antigray_data)

    bpa = dict(axes_labelsize=14, text_fontsize=12)

    ex1(plotfilename='ex1.pdf', bovyprintargs=bpa)
    ex1(exclude=[], plotfilename='ex2.pdf', bovyprintargs=bpa)

    ex3(plotfilename='ex3.pdf', bovyprintargs=bpa)

    sd1 = None
    pfn1 = 'sd1.pickle'
    if os.path.exists(pfn1):
        print 'Reading sample data from', pfn1
        sd1 = unpickle_from_file(pfn1)
    sd2 = None
    pfn2 = 'sd2.pickle'
    if os.path.exists(pfn2):
        print 'Reading sample data from', pfn2
        sd2 = unpickle_from_file(pfn2)
from astrometry.util.file import *

if __name__ == '__main__':

	if False:
		from matplotlib.cm import register_cmap
		_antigray_data =  {'red':   ((0., 1, 1), (1., 0, 0)),
						   'green': ((0., 1, 1), (1., 0, 0)),
						   'blue':  ((0., 1, 1), (1., 0, 0))}
		register_cmap(name='gist_yarg',
					  data=_antigray_data)


	bpa = dict(axes_labelsize=14, text_fontsize=12)

	ex1(plotfilename='ex1.pdf', bovyprintargs=bpa)
	ex1(exclude=[], plotfilename='ex2.pdf', bovyprintargs=bpa)

	ex3(plotfilename='ex3.pdf', bovyprintargs=bpa)

	sd1 = None
	pfn1 = 'sd1.pickle'
	if os.path.exists(pfn1):
		print 'Reading sample data from', pfn1
		sd1 = unpickle_from_file(pfn1)
	sd2 = None
	pfn2 = 'sd2.pickle'
	if os.path.exists(pfn2):
		print 'Reading sample data from', pfn2
		sd2 = unpickle_from_file(pfn2)
Exemple #5
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def main():
    ex1(r"files\analitics.xlsx", r"files\result1.xlsx")
    ex2(r"files\result1.xlsx", r"files\result2.xlsx")
    ex3(r"files\result1.xlsx", r"files\result3.xlsx")
    ex4(r"files\analitics.xlsx", r"files\result4.xlsx")
    ex5(r"files\analitics.xlsx", r"files\result5.xlsx")
Exemple #6
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""" Unit testing for exercises in Python. """

from ex1 import ex1
from ex2 import ex2
# from ex3 import ex3
# from ex4 import ex4
# from ex5 import ex5
# from ex6 import ex6
# from ex7 import ex7
# from ex8 import ex8
# from ex9 import ex9

ex1 = ex1()
print('\nEXERCISE 1:')
print('===========')
ex1.test()
print('\n')

ex2 = ex2()
print('EXERCISE 2:')
print('===========')
ex2.test()
print('\n')

print('EXERCISE 3:')
print('===========')

print('\n')

print('EXERCISE 4:')
print('===========')