# array module example
import sample
import array
a = array.array('d', [1, -3, 4, 7, 2, 0])
print(a)
sample.clip(a, 1, 4, a)
print(a)

# numpy example
import numpy
b = numpy.random.uniform(-10, 10, size=1000000)
print(b)
c = numpy.zeros_like(b)
print(c)
sample.clip(b, -5, 5, c)
print(c)
print(min(c))
print(max(c))

# Timing test
from timeit import timeit
print('numpy.clip')
print(
    timeit('numpy.clip(b,-5,5,c)',
           'from __main__ import b,c,numpy',
           number=1000))
print('sample.clip')
print(
    timeit('sample.clip(b,-5,5,c)',
           'from __main__ import b,c,sample',
           number=1000))
Exemple #2
0
# array module example
import sample
import array
a = array.array('d',[1,-3,4,7,2,0])
print(a)
sample.clip(a,1,4,a)
print(a)

# numpy example
import numpy
b = numpy.random.uniform(-10,10,size=1000000)
print(b)
c = numpy.zeros_like(b)
print(c)
sample.clip(b,-5,5,c)
print(c)
print(min(c))
print(max(c))

# Timing test
from timeit import timeit
print('numpy.clip')
print(timeit('numpy.clip(b,-5,5,c)', 'from __main__ import b,c,numpy', number=1000))
print('sample.clip')
print(timeit('sample.clip(b,-5,5,c)', 'from __main__ import b,c,sample', number=1000))

print('sample.clip_fast')
print(timeit('sample.clip_fast(b,-5,5,c)', 'from __main__ import b,c,sample', number=1000))

# 2D test
d = numpy.random.uniform(-10,10,size=(1000,1000))
Exemple #3
0
print(
    'numpy takes:',
    timeit.timeit('numpy.clip(a,-5,5,c)',
                  """
import numpy
import sample

a = numpy.random.uniform(-10,10,size=1000000)
c = numpy.zeros_like(a)
numpy.clip(a,-5,5,c)
""",
                  number=1000))
print(
    'cython clip takes:',
    timeit.timeit('numpy.clip(a,-5,5,c)',
                  """
import numpy
import sample

a = numpy.random.uniform(-10,10,size=1000000)
c = numpy.zeros_like(a)
sample.clip(a,-5,5,c)
""",
                  number=1000))
print(
    'cython clip2 takes:',
    timeit.timeit('numpy.clip(a,-5,5,c)',
                  """
import numpy
import sample
Exemple #4
0
import sample
import numpy as np
_same_distance = np.array([4, 1, 1, 5, 3], dtype=float)
_diff_distance = np.array([1, 1, 1, 6, 3], dtype=float)
# should output 0.6
print(sample.clip(_same_distance, 2.0, _diff_distance))
print("test clip")

_same_distance = np.array([4, 1, 1, 5, 3], dtype=float)
_diff_distance = np.array([1, 1, 1, 6, 3], dtype=float)
# should output 0.6
print(sample.clip(_same_distance, 2.0, _diff_distance))
Exemple #5
0
 def run(self):
     begin = datetime.datetime.now()
     acc = sample.clip(array.array('d', self._same_distance), self.threshold, array.array('d', self._diff_distance))
     accuracy.dic[self.threshold] = acc
     end = datetime.datetime.now()
     print(end - begin, acc)