"""
Draw the Diff2 class hierarchy.
"""
try:
from scitools.Lumpy import Lumpy
except ImportError:
print 'No Lumpy installed'
sys.exit(1)
import sys
# Run lumpy.object_diagram() from the main program, not a function,
# to avoid seeing the lumpy variable explicitly in the diagrams.
lumpy = Lumpy()
import Line_Parabola
p = Line_Parabola.Parabola(1, -2, 2)
l = Line_Parabola.Line(1, 0) # needed this to draw Line-Parabola correctly
lumpy.class_diagram()
del p, Line_Parabola
def f(x):
return x + 1.0 / x**2
lumpy = Lumpy()
import Diff2
diff = []
from scitools.Lumpy import Lumpy
lumpy = Lumpy()
lumpy.make_reference()
infile = open('table.dat', 'r')
lines = infile.readlines()
infile.close()
data = {} # data[property][measurement_no] = propertyvalue
first_line = lines[0]
properties = first_line.split()
for p in properties:
data[p] = {}
for line in lines[1:]:
words = line.split()
i = int(words[0]) # measurement number
values = words[1:] # values of properties
for p, v in zip(properties, values):
if v != 'no':
data[p][i] = float(v)
# Compute mean values
for p in data:
values = data[p].values()
data[p]['mean'] = sum(values)/len(values)
for p in sorted(data):
print 'Mean value of property %s = %g' % (p, data[p]['mean'])
# Clean up variables that we don't want in the object plot
del p, v, values, line, words, first_line, properties, lines, i, infile
from scitools.Lumpy import Lumpy lumpy = Lumpy() from numpy import zeros B = zeros((100, 20)) c = B[-1, -1] del zeros lumpy.object_diagram()
from scitools.Lumpy import Lumpy lumpy = Lumpy() lumpy.make_reference() l0 = [1, 4, 3] l1 = l0 l2 = l1[:-1] l1[0] = 100 lumpy.object_diagram() lumpy = Lumpy() lumpy.make_reference() # not necessary n1 = 21.5 n2 = 21 l3 = [l1, l2, [n1, n2]] s1 = 'some string' lumpy.object_diagram() lumpy = Lumpy() lumpy.make_reference() # not necessary from numpy import * a = zeros(4) lumpy.object_diagram()
from scitools.Lumpy import Lumpy # Table of columns lumpy = Lumpy() lumpy.make_reference() Cdegrees = [20, 25, 30, 35, 40] Fdegrees = [(9.0/5)*C + 32 for C in Cdegrees] table1 = [Cdegrees, Fdegrees] del Cdegrees, Fdegrees, C lumpy.object_diagram() # Table of rows lumpy = Lumpy() Cdegrees = [20, 25, 30, 35, 40] Fdegrees = [(9.0/5)*C + 32 for C in Cdegrees] table2 = [[C, F] for C, F in zip(Cdegrees, Fdegrees)] del Cdegrees, Fdegrees, C, F lumpy.object_diagram()
from scitools.Lumpy import Lumpy lumpy = Lumpy() from numpy import zeros B = zeros((100,20)) c = B[-1,-1] del zeros lumpy.object_diagram()
try:
from scitools.Lumpy import Lumpy
except ImportError:
print 'No Lumpy installed'
sys.exit(1)
import sys
from classes import Y, Derivative, VelocityProfile, Account, AccountP, \
Person, Circle
from Complex import Complex
from Vec2D import Vec2D
from Polynomial import Polynomial as P
# Run lumpy.object_diagram() from the main program, not a function,
# to avoid seeing the lumpy variable explicitly in the diagrams
lumpy = Lumpy()
lumpy.make_reference() # not necessary for class diagrams
y = Y(v0=4)
lumpy.object_diagram()
lumpy.class_diagram()
del y # remove it from the next diagrams
lumpy = Lumpy()
v = VelocityProfile(beta=0.06, mu0=0.02, n=0.3, R=1)
lumpy.object_diagram()
lumpy.class_diagram()
del v
lumpy = Lumpy()
v = Account('John Doe', '93351545761', 1000)
lumpy.object_diagram()
"""
Draw the Diff2 class hierarchy.
"""
try:
from scitools.Lumpy import Lumpy
except ImportError:
print "No Lumpy installed"
sys.exit(1)
import sys
# Run lumpy.object_diagram() from the main program, not a function,
# to avoid seeing the lumpy variable explicitly in the diagrams.
lumpy = Lumpy()
import Line_Parabola
p = Line_Parabola.Parabola(1, -2, 2)
l = Line_Parabola.Line(1, 0) # needed this to draw Line-Parabola correctly
lumpy.class_diagram()
del p, Line_Parabola
def f(x):
return x + 1.0 / x ** 2
lumpy = Lumpy()
import Diff2
diff = []
try:
from scitools.Lumpy import Lumpy
except ImportError:
print 'No Lumpy installed'
sys.exit(1)
import sys
from classes import Y, Derivative, VelocityProfile, Account, AccountP, \
Person, Circle
from Complex import Complex
from Vec2D import Vec2D
from Polynomial import Polynomial as P
# run lumpy.object_diagram() from the main program, not a function,
# to avoid seeing the lumpy variable explicitly in the diagrams
lumpy = Lumpy()
lumpy.make_reference() # not necessary for class diagrams
y = Y(v0=4)
lumpy.object_diagram()
lumpy.class_diagram()
del y # remove it from the next diagrams
lumpy = Lumpy()
v = VelocityProfile(beta=0.06, mu0=0.02, n=0.3, R=1)
lumpy.object_diagram()
lumpy.class_diagram()
del v
lumpy = Lumpy()
v = Account('John Doe', '93351545761', 1000)
lumpy.object_diagram()
from scitools.Lumpy import Lumpy
lumpy = Lumpy()
lumpy.make_reference()
class Y:
def __init__(self, v0):
self.v0 = v0
self.g = 9.81
def value(self, t):
return self.v0*t - 0.5*self.g*t**2
y = Y(3)
lumpy.class_diagram()
