1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
|
""" Test functions for matrix module
"""
from numpy.testing import *
set_package_path()
from numpy import arange, rot90, add, fliplr, flipud, zeros, ones, eye, \
array, diag, histogram2d
import numpy as np
restore_path()
##################################################
def get_mat(n):
data = arange(n)
data = add.outer(data,data)
return data
class test_eye(NumpyTestCase):
def check_basic(self):
assert_equal(eye(4),array([[1,0,0,0],
[0,1,0,0],
[0,0,1,0],
[0,0,0,1]]))
assert_equal(eye(4,dtype='f'),array([[1,0,0,0],
[0,1,0,0],
[0,0,1,0],
[0,0,0,1]],'f'))
def check_diag(self):
assert_equal(eye(4,k=1),array([[0,1,0,0],
[0,0,1,0],
[0,0,0,1],
[0,0,0,0]]))
assert_equal(eye(4,k=-1),array([[0,0,0,0],
[1,0,0,0],
[0,1,0,0],
[0,0,1,0]]))
def check_2d(self):
assert_equal(eye(4,3),array([[1,0,0],
[0,1,0],
[0,0,1],
[0,0,0]]))
assert_equal(eye(3,4),array([[1,0,0,0],
[0,1,0,0],
[0,0,1,0]]))
def check_diag2d(self):
assert_equal(eye(3,4,k=2),array([[0,0,1,0],
[0,0,0,1],
[0,0,0,0]]))
assert_equal(eye(4,3,k=-2),array([[0,0,0],
[0,0,0],
[1,0,0],
[0,1,0]]))
class test_diag(NumpyTestCase):
def check_vector(self):
vals = (100*arange(5)).astype('l')
b = zeros((5,5))
for k in range(5):
b[k,k] = vals[k]
assert_equal(diag(vals),b)
b = zeros((7,7))
c = b.copy()
for k in range(5):
b[k,k+2] = vals[k]
c[k+2,k] = vals[k]
assert_equal(diag(vals,k=2), b)
assert_equal(diag(vals,k=-2), c)
def check_matrix(self):
vals = (100*get_mat(5)+1).astype('l')
b = zeros((5,))
for k in range(5):
b[k] = vals[k,k]
assert_equal(diag(vals),b)
b = b*0
for k in range(3):
b[k] = vals[k,k+2]
assert_equal(diag(vals,2),b[:3])
for k in range(3):
b[k] = vals[k+2,k]
assert_equal(diag(vals,-2),b[:3])
class test_fliplr(NumpyTestCase):
def check_basic(self):
self.failUnlessRaises(ValueError, fliplr, ones(4))
a = get_mat(4)
b = a[:,::-1]
assert_equal(fliplr(a),b)
a = [[0,1,2],
[3,4,5]]
b = [[2,1,0],
[5,4,3]]
assert_equal(fliplr(a),b)
class test_flipud(NumpyTestCase):
def check_basic(self):
a = get_mat(4)
b = a[::-1,:]
assert_equal(flipud(a),b)
a = [[0,1,2],
[3,4,5]]
b = [[3,4,5],
[0,1,2]]
assert_equal(flipud(a),b)
class test_rot90(NumpyTestCase):
def check_basic(self):
self.failUnlessRaises(ValueError, rot90, ones(4))
a = [[0,1,2],
[3,4,5]]
b1 = [[2,5],
[1,4],
[0,3]]
b2 = [[5,4,3],
[2,1,0]]
b3 = [[3,0],
[4,1],
[5,2]]
b4 = [[0,1,2],
[3,4,5]]
for k in range(-3,13,4):
assert_equal(rot90(a,k=k),b1)
for k in range(-2,13,4):
assert_equal(rot90(a,k=k),b2)
for k in range(-1,13,4):
assert_equal(rot90(a,k=k),b3)
for k in range(0,13,4):
assert_equal(rot90(a,k=k),b4)
class test_histogram2d(NumpyTestCase):
def check_simple(self):
x = array([ 0.41702200, 0.72032449, 0.00011437481, 0.302332573, 0.146755891])
y = array([ 0.09233859, 0.18626021, 0.34556073, 0.39676747, 0.53881673])
xedges = np.linspace(0,1,10)
yedges = np.linspace(0,1,10)
H = histogram2d(x, y, (xedges, yedges))[0]
answer = array([[0, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0]])
assert_array_equal(H.T, answer)
def check_asym(self):
x = array([1, 1, 2, 3, 4, 4, 4, 5])
y = array([1, 3, 2, 0, 1, 2, 3, 4])
H, xed, yed = histogram2d(x,y, (6, 5), range = [[0,6],[0,5]], normed=True)
answer = array([[0.,0,0,0,0],
[0,1,0,1,0],
[0,0,1,0,0],
[1,0,0,0,0],
[0,1,1,1,0],
[0,0,0,0,1]])
assert_array_almost_equal(H, answer/8., 3)
def check_norm(self):
x = array([1,2,3,1,2,3,1,2,3])
y = array([1,1,1,2,2,2,3,3,3])
H, xed, yed = histogram2d(x,y,[[1,2,3,5], [1,2,3,5]], normed=True)
answer=array([[1,1,.5],
[1,1,.5],
[.5,.5,.25]])/9.
assert_array_almost_equal(H, answer, 3)
if __name__ == "__main__":
NumpyTest().run()
|
