/usr/lib/python2.7/dist-packages/numpy/core/tests/test_arrayprint.py is in python-numpy 1:1.12.1-3.
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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import division, absolute_import, print_function
import sys
import numpy as np
from numpy.compat import sixu
from numpy.testing import (
TestCase, run_module_suite, assert_, assert_equal
)
class TestArrayRepr(object):
def test_nan_inf(self):
x = np.array([np.nan, np.inf])
assert_equal(repr(x), 'array([ nan, inf])')
class TestComplexArray(TestCase):
def test_str(self):
rvals = [0, 1, -1, np.inf, -np.inf, np.nan]
cvals = [complex(rp, ip) for rp in rvals for ip in rvals]
dtypes = [np.complex64, np.cdouble, np.clongdouble]
actual = [str(np.array([c], dt)) for c in cvals for dt in dtypes]
wanted = [
'[ 0.+0.j]', '[ 0.+0.j]', '[ 0.0+0.0j]',
'[ 0.+1.j]', '[ 0.+1.j]', '[ 0.0+1.0j]',
'[ 0.-1.j]', '[ 0.-1.j]', '[ 0.0-1.0j]',
'[ 0.+infj]', '[ 0.+infj]', '[ 0.0+infj]',
'[ 0.-infj]', '[ 0.-infj]', '[ 0.0-infj]',
'[ 0.+nanj]', '[ 0.+nanj]', '[ 0.0+nanj]',
'[ 1.+0.j]', '[ 1.+0.j]', '[ 1.0+0.0j]',
'[ 1.+1.j]', '[ 1.+1.j]', '[ 1.0+1.0j]',
'[ 1.-1.j]', '[ 1.-1.j]', '[ 1.0-1.0j]',
'[ 1.+infj]', '[ 1.+infj]', '[ 1.0+infj]',
'[ 1.-infj]', '[ 1.-infj]', '[ 1.0-infj]',
'[ 1.+nanj]', '[ 1.+nanj]', '[ 1.0+nanj]',
'[-1.+0.j]', '[-1.+0.j]', '[-1.0+0.0j]',
'[-1.+1.j]', '[-1.+1.j]', '[-1.0+1.0j]',
'[-1.-1.j]', '[-1.-1.j]', '[-1.0-1.0j]',
'[-1.+infj]', '[-1.+infj]', '[-1.0+infj]',
'[-1.-infj]', '[-1.-infj]', '[-1.0-infj]',
'[-1.+nanj]', '[-1.+nanj]', '[-1.0+nanj]',
'[ inf+0.j]', '[ inf+0.j]', '[ inf+0.0j]',
'[ inf+1.j]', '[ inf+1.j]', '[ inf+1.0j]',
'[ inf-1.j]', '[ inf-1.j]', '[ inf-1.0j]',
'[ inf+infj]', '[ inf+infj]', '[ inf+infj]',
'[ inf-infj]', '[ inf-infj]', '[ inf-infj]',
'[ inf+nanj]', '[ inf+nanj]', '[ inf+nanj]',
'[-inf+0.j]', '[-inf+0.j]', '[-inf+0.0j]',
'[-inf+1.j]', '[-inf+1.j]', '[-inf+1.0j]',
'[-inf-1.j]', '[-inf-1.j]', '[-inf-1.0j]',
'[-inf+infj]', '[-inf+infj]', '[-inf+infj]',
'[-inf-infj]', '[-inf-infj]', '[-inf-infj]',
'[-inf+nanj]', '[-inf+nanj]', '[-inf+nanj]',
'[ nan+0.j]', '[ nan+0.j]', '[ nan+0.0j]',
'[ nan+1.j]', '[ nan+1.j]', '[ nan+1.0j]',
'[ nan-1.j]', '[ nan-1.j]', '[ nan-1.0j]',
'[ nan+infj]', '[ nan+infj]', '[ nan+infj]',
'[ nan-infj]', '[ nan-infj]', '[ nan-infj]',
'[ nan+nanj]', '[ nan+nanj]', '[ nan+nanj]']
for res, val in zip(actual, wanted):
assert_(res == val)
class TestArray2String(TestCase):
def test_basic(self):
"""Basic test of array2string."""
a = np.arange(3)
assert_(np.array2string(a) == '[0 1 2]')
assert_(np.array2string(a, max_line_width=4) == '[0 1\n 2]')
def test_style_keyword(self):
"""This should only apply to 0-D arrays. See #1218."""
stylestr = np.array2string(np.array(1.5),
style=lambda x: "Value in 0-D array: " + str(x))
assert_(stylestr == 'Value in 0-D array: 1.5')
def test_format_function(self):
"""Test custom format function for each element in array."""
def _format_function(x):
if np.abs(x) < 1:
return '.'
elif np.abs(x) < 2:
return 'o'
else:
return 'O'
x = np.arange(3)
if sys.version_info[0] >= 3:
x_hex = "[0x0 0x1 0x2]"
x_oct = "[0o0 0o1 0o2]"
else:
x_hex = "[0x0L 0x1L 0x2L]"
x_oct = "[0L 01L 02L]"
assert_(np.array2string(x, formatter={'all':_format_function}) ==
"[. o O]")
assert_(np.array2string(x, formatter={'int_kind':_format_function}) ==
"[. o O]")
assert_(np.array2string(x, formatter={'all':lambda x: "%.4f" % x}) ==
"[0.0000 1.0000 2.0000]")
assert_equal(np.array2string(x, formatter={'int':lambda x: hex(x)}),
x_hex)
assert_equal(np.array2string(x, formatter={'int':lambda x: oct(x)}),
x_oct)
x = np.arange(3.)
assert_(np.array2string(x, formatter={'float_kind':lambda x: "%.2f" % x}) ==
"[0.00 1.00 2.00]")
assert_(np.array2string(x, formatter={'float':lambda x: "%.2f" % x}) ==
"[0.00 1.00 2.00]")
s = np.array(['abc', 'def'])
assert_(np.array2string(s, formatter={'numpystr':lambda s: s*2}) ==
'[abcabc defdef]')
def test_structure_format(self):
dt = np.dtype([('name', np.str_, 16), ('grades', np.float64, (2,))])
x = np.array([('Sarah', (8.0, 7.0)), ('John', (6.0, 7.0))], dtype=dt)
assert_equal(np.array2string(x),
"[('Sarah', [ 8., 7.]) ('John', [ 6., 7.])]")
# for issue #5692
A = np.zeros(shape=10, dtype=[("A", "M8[s]")])
A[5:].fill(np.nan)
assert_equal(np.array2string(A),
"[('1970-01-01T00:00:00',) ('1970-01-01T00:00:00',) " +
"('1970-01-01T00:00:00',)\n ('1970-01-01T00:00:00',) " +
"('1970-01-01T00:00:00',) ('NaT',) ('NaT',)\n " +
"('NaT',) ('NaT',) ('NaT',)]")
# See #8160
struct_int = np.array([([1, -1],), ([123, 1],)], dtype=[('B', 'i4', 2)])
assert_equal(np.array2string(struct_int),
"[([ 1, -1],) ([123, 1],)]")
struct_2dint = np.array([([[0, 1], [2, 3]],), ([[12, 0], [0, 0]],)],
dtype=[('B', 'i4', (2, 2))])
assert_equal(np.array2string(struct_2dint),
"[([[ 0, 1], [ 2, 3]],) ([[12, 0], [ 0, 0]],)]")
# See #8172
array_scalar = np.array(
(1., 2.1234567890123456789, 3.), dtype=('f8,f8,f8'))
assert_equal(np.array2string(array_scalar), "( 1., 2.12345679, 3.)")
class TestPrintOptions:
"""Test getting and setting global print options."""
def setUp(self):
self.oldopts = np.get_printoptions()
def tearDown(self):
np.set_printoptions(**self.oldopts)
def test_basic(self):
x = np.array([1.5, 0, 1.234567890])
assert_equal(repr(x), "array([ 1.5 , 0. , 1.23456789])")
np.set_printoptions(precision=4)
assert_equal(repr(x), "array([ 1.5 , 0. , 1.2346])")
def test_precision_zero(self):
np.set_printoptions(precision=0)
for values, string in (
([0.], " 0."), ([.3], " 0."), ([-.3], "-0."), ([.7], " 1."),
([1.5], " 2."), ([-1.5], "-2."), ([-15.34], "-15."),
([100.], " 100."), ([.2, -1, 122.51], " 0., -1., 123."),
([0], "0"), ([-12], "-12"), ([complex(.3, -.7)], " 0.-1.j")):
x = np.array(values)
assert_equal(repr(x), "array([%s])" % string)
def test_formatter(self):
x = np.arange(3)
np.set_printoptions(formatter={'all':lambda x: str(x-1)})
assert_equal(repr(x), "array([-1, 0, 1])")
def test_formatter_reset(self):
x = np.arange(3)
np.set_printoptions(formatter={'all':lambda x: str(x-1)})
assert_equal(repr(x), "array([-1, 0, 1])")
np.set_printoptions(formatter={'int':None})
assert_equal(repr(x), "array([0, 1, 2])")
np.set_printoptions(formatter={'all':lambda x: str(x-1)})
assert_equal(repr(x), "array([-1, 0, 1])")
np.set_printoptions(formatter={'all':None})
assert_equal(repr(x), "array([0, 1, 2])")
np.set_printoptions(formatter={'int':lambda x: str(x-1)})
assert_equal(repr(x), "array([-1, 0, 1])")
np.set_printoptions(formatter={'int_kind':None})
assert_equal(repr(x), "array([0, 1, 2])")
x = np.arange(3.)
np.set_printoptions(formatter={'float':lambda x: str(x-1)})
assert_equal(repr(x), "array([-1.0, 0.0, 1.0])")
np.set_printoptions(formatter={'float_kind':None})
assert_equal(repr(x), "array([ 0., 1., 2.])")
def test_unicode_object_array():
import sys
if sys.version_info[0] >= 3:
expected = "array(['é'], dtype=object)"
else:
expected = "array([u'\\xe9'], dtype=object)"
x = np.array([sixu('\xe9')], dtype=object)
assert_equal(repr(x), expected)
if __name__ == "__main__":
run_module_suite()
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