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"""
Utility function to facilitate testing.
"""
import os
import sys
import time
import math
__all__ = ['assert_equal', 'assert_almost_equal','assert_approx_equal',
'assert_array_equal', 'assert_array_less',
'assert_array_almost_equal', 'jiffies', 'memusage', 'rand',
'runstring']
def rand(*args):
"""Returns an array of random numbers with the given shape.
This only uses the standard library, so it is useful for testing purposes.
"""
import random
from numpy.core import zeros, Float64
results = zeros(args,Float64)
f = results.flat
for i in range(len(f)):
f[i] = random.random()
return results
if sys.platform[:5]=='linux':
def jiffies(_proc_pid_stat = '/proc/%s/stat'%(os.getpid()),
_load_time=time.time()):
""" Return number of jiffies (1/100ths of a second) that this
process has been scheduled in user mode. See man 5 proc. """
try:
f=open(_proc_pid_stat,'r')
l = f.readline().split(' ')
f.close()
return int(l[13])
except:
return int(100*(time.time()-_load_time))
def memusage(_proc_pid_stat = '/proc/%s/stat'%(os.getpid())):
""" Return virtual memory size in bytes of the running python.
"""
try:
f=open(_proc_pid_stat,'r')
l = f.readline().split(' ')
f.close()
return int(l[22])
except:
return
else:
# os.getpid is not in all platforms available.
# Using time is safe but inaccurate, especially when process
# was suspended or sleeping.
def jiffies(_load_time=time.time()):
""" Return number of jiffies (1/100ths of a second) that this
process has been scheduled in user mode. [Emulation with time.time]. """
return int(100*(time.time()-_load_time))
def memusage():
""" Return memory usage of running python. [Not implemented]"""
return
def assert_equal(actual,desired,err_msg='',verbose=1):
""" Raise an assertion if two items are not
equal. I think this should be part of unittest.py
"""
from numpy.core import ArrayType
if isinstance(actual, ArrayType) or isinstance(desired, ArrayType):
return assert_array_equal(actual, desired, err_msg)
msg = '\nItems are not equal:\n' + err_msg
try:
if ( verbose and len(repr(desired)) < 100 and len(repr(actual)) ):
msg = msg \
+ 'DESIRED: ' + repr(desired) \
+ '\nACTUAL: ' + repr(actual)
except:
msg = msg \
+ 'DESIRED: ' + repr(desired) \
+ '\nACTUAL: ' + repr(actual)
assert desired == actual, msg
def assert_almost_equal(actual,desired,decimal=7,err_msg='',verbose=1):
""" Raise an assertion if two items are not
equal. I think this should be part of unittest.py
"""
from numpy.core import ArrayType
if isinstance(actual, ArrayType) or isinstance(desired, ArrayType):
return assert_array_almost_equal(actual, desired, decimal, err_msg)
msg = '\nItems are not equal:\n' + err_msg
try:
if ( verbose and len(repr(desired)) < 100 and len(repr(actual)) ):
msg = msg \
+ 'DESIRED: ' + repr(desired) \
+ '\nACTUAL: ' + repr(actual)
except:
msg = msg \
+ 'DESIRED: ' + repr(desired) \
+ '\nACTUAL: ' + repr(actual)
assert round(abs(desired - actual),decimal) == 0, msg
def assert_approx_equal(actual,desired,significant=7,err_msg='',verbose=1):
""" Raise an assertion if two items are not
equal. I think this should be part of unittest.py
Approximately equal is defined as the number of significant digits
correct
"""
msg = '\nItems are not equal to %d significant digits:\n' % significant
msg += err_msg
actual, desired = map(float, (actual, desired))
if desired==actual:
return
# Normalized the numbers to be in range (-10.0,10.0)
scale = float(pow(10,math.floor(math.log10(0.5*(abs(desired)+abs(actual))))))
try:
sc_desired = desired/scale
except ZeroDivisionError:
sc_desired = 0.0
try:
sc_actual = actual/scale
except ZeroDivisionError:
sc_actual = 0.0
try:
if ( verbose and len(repr(desired)) < 100 and len(repr(actual)) ):
msg = msg \
+ 'DESIRED: ' + repr(desired) \
+ '\nACTUAL: ' + repr(actual)
except:
msg = msg \
+ 'DESIRED: ' + repr(desired) \
+ '\nACTUAL: ' + repr(actual)
assert math.fabs(sc_desired - sc_actual) < pow(10.,-1*significant), msg
def assert_array_equal(x,y,err_msg=''):
from numpy.core import asarray, alltrue, equal, shape, ravel, array2string
x,y = asarray(x), asarray(y)
msg = '\nArrays are not equal'
try:
assert 0 in [len(shape(x)),len(shape(y))] \
or (len(shape(x))==len(shape(y)) and \
alltrue(equal(shape(x),shape(y)))),\
msg + ' (shapes %s, %s mismatch):\n\t' \
% (shape(x),shape(y)) + err_msg
reduced = ravel(equal(x,y))
cond = alltrue(reduced)
if not cond:
s1 = array2string(x,precision=16)
s2 = array2string(y,precision=16)
if len(s1)>120: s1 = s1[:120] + '...'
if len(s2)>120: s2 = s2[:120] + '...'
match = 100-100.0*reduced.tolist().count(1)/len(reduced)
msg = msg + ' (mismatch %s%%):\n\tArray 1: %s\n\tArray 2: %s' % (match,s1,s2)
assert cond,\
msg + '\n\t' + err_msg
except ValueError:
raise ValueError, msg
def assert_array_almost_equal(x,y,decimal=6,err_msg=''):
from numpy.core import asarray, alltrue, equal, shape, ravel,\
array2string, less_equal, around
x = asarray(x)
y = asarray(y)
msg = '\nArrays are not almost equal'
try:
cond = alltrue(equal(shape(x),shape(y)))
if not cond:
msg = msg + ' (shapes mismatch):\n\t'\
'Shape of array 1: %s\n\tShape of array 2: %s' % (shape(x),shape(y))
assert cond, msg + '\n\t' + err_msg
reduced = ravel(equal(less_equal(around(abs(x-y),decimal),10.0**(-decimal)),1))
cond = alltrue(reduced)
if not cond:
s1 = array2string(x,precision=decimal+1)
s2 = array2string(y,precision=decimal+1)
if len(s1)>120: s1 = s1[:120] + '...'
if len(s2)>120: s2 = s2[:120] + '...'
match = 100-100.0*reduced.tolist().count(1)/len(reduced)
msg = msg + ' (mismatch %s%%):\n\tArray 1: %s\n\tArray 2: %s' % (match,s1,s2)
assert cond,\
msg + '\n\t' + err_msg
except ValueError:
print sys.exc_value
print shape(x),shape(y)
print x, y
raise ValueError, 'arrays are not almost equal'
def assert_array_less(x,y,err_msg=''):
from numpy.core import asarray, alltrue, less, equal, shape, ravel, array2string
x,y = asarray(x), asarray(y)
msg = '\nArrays are not less-ordered'
try:
assert alltrue(equal(shape(x),shape(y))),\
msg + ' (shapes mismatch):\n\t' + err_msg
reduced = ravel(less(x,y))
cond = alltrue(reduced)
if not cond:
s1 = array2string(x,precision=16)
s2 = array2string(y,precision=16)
if len(s1)>120: s1 = s1[:120] + '...'
if len(s2)>120: s2 = s2[:120] + '...'
match = 100-100.0*reduced.tolist().count(1)/len(reduced)
msg = msg + ' (mismatch %s%%):\n\tArray 1: %s\n\tArray 2: %s' % (match,s1,s2)
assert cond,\
msg + '\n\t' + err_msg
except ValueError:
print shape(x),shape(y)
raise ValueError, 'arrays are not less-ordered'
def runstring(astr, dict):
exec astr in dict
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