Python thunk Examples

Example #1

File: intermediatebenchmark.py Project: zeta1999/LazyArray

numpy.random.seed(137)
a = nplazy.lazyarray(numpy.random.randint(0, 100, element_count))

start = time.time()
d = a * a * a
d.materialize()
end = time.time()

print("Lazy Evaluation (No Intermediates)", end - start)

numpy.random.seed(137)
a = numpy.random.randint(0, 100, element_count)

start = time.time()
d = a * a * a
end = time.time()

print("Eager Evaluation (Many Intermediates)", end - start)

import thunklib

numpy.random.seed(137)
a = thunklib.thunk(numpy.random.randint(0, 100, element_count))

start = time.time()
d = a * a * a
d.evaluate()
end = time.time()

print("Pipelined Evaluation", end - start)

Example #2

File: multiplication.py Project: Mytherin/LazyArray

import thunklib
import numpy

dtype_list = [ numpy.dtype('int8'), numpy.dtype('int16'), numpy.dtype('int32'), numpy.dtype('int64'), numpy.dtype('uint8'), numpy.dtype('uint16'), numpy.dtype('uint32'), numpy.dtype('uint64'), numpy.dtype('float32'), numpy.dtype('float64'), numpy.dtype('complex64') ]

errors = 0
tests = 0

for dtype in dtype_list:
    for dtype2 in dtype_list:
        a = numpy.arange(5, dtype=dtype)
        b = numpy.arange(5, dtype=dtype2)
        numpy_result = (a * b).__str__()
        a = thunklib.thunk(a)
        b = thunklib.thunk(b)
        thunk_result = (a * b).__str__()
        if thunk_result != numpy_result:
            errors += 1
            print("Failed test %s*%s" % (dtype, dtype2))
        tests += 1


print("\nFailed %d/%d tests." % (errors, tests) if errors > 0 else "Success!")

Example #3

File: smallthunk.py Project: Mytherin/LazyArray

import thunklib
import numpy
a = numpy.arange(5, dtype=numpy.double)
b = thunklib.thunk(a)
c = b * b 
print(type(c))
print(c)

Example #4

File: smallthunk.py Project: zeta1999/LazyArray

import thunklib
import numpy
a = numpy.arange(5, dtype=numpy.double)
b = thunklib.thunk(a)
c = b * b
print(type(c))
print(c)

Example #5

File: sum.py Project: Mytherin/LazyArray

import thunklib
import numpy
import time

element_count = 100000000

numpy.random.seed(137)
a = thunklib.thunk(numpy.random.randint(0,100,element_count))


start = time.time()
d =  numpy.sum((a * a * a * a * a).asnumpyarray())
end = time.time()

print("NumPy Evaluation", end - start)

numpy.random.seed(137)
a = thunklib.thunk(numpy.random.randint(0,100,element_count))


start = time.time()
d = (a * a * a * a * a).sum()
d.evaluate()
end = time.time()

print("Pipelined Evaluation", end - start)

Example #6

File: typebenchmark.py Project: zeta1999/LazyArray

import numpy
import time
import thunklib

element_count = 100000000

numpy.random.seed(137)
a = numpy.random.randint(0, 100, element_count).astype(numpy.float64)
b = numpy.random.randint(0, 100, element_count).astype(numpy.float64)

start = time.time()
d = a * b
end = time.time()

print("NumPy Evaluation", end - start)

numpy.random.seed(137)

a = thunklib.thunk(
    numpy.random.randint(0, 100, element_count).astype(numpy.float64))
b = thunklib.thunk(
    numpy.random.randint(0, 100, element_count).astype(numpy.float64))

start = time.time()
d = a * b
d.evaluate()
end = time.time()

print("Pipelined Evaluation", end - start)

Example #7

File: sort.py Project: zeta1999/LazyArray

import numpy
import thunklib

numpy.random.seed(137)
a = numpy.random.randint(0, 100, size=(200000, )).astype(numpy.object)
b = thunklib.thunk(a * 2)

b.sort()
c = b

numpy.random.seed(137)
a = numpy.random.randint(0, 100, size=(200000, )).astype(numpy.object) * 2
a.sort()

if numpy.array_equal(a, c.asnumpyarray()):
    print("Success!")
else:
    print("Failure! Different arrays.")
    print("NumPy", a)
    print("Thunk", c.asnumpyarray())

Example #8

File: sort.py Project: Mytherin/LazyArray

import numpy
import thunklib


numpy.random.seed(137)
a = numpy.random.randint(0, 100, size=(200000,)).astype(numpy.object)
b = thunklib.thunk(a * 2)

b.sort()
c = b

numpy.random.seed(137)
a = numpy.random.randint(0, 100, size=(200000,)).astype(numpy.object) * 2
a.sort()

if numpy.array_equal(a, c.asnumpyarray()):
    print("Success!")
else:
    print("Failure! Different arrays.")
    print("NumPy", a)
    print("Thunk", c.asnumpyarray())

Example #9

File: multiplication.py Project: zeta1999/LazyArray

    numpy.dtype('int8'),
    numpy.dtype('int16'),
    numpy.dtype('int32'),
    numpy.dtype('int64'),
    numpy.dtype('uint8'),
    numpy.dtype('uint16'),
    numpy.dtype('uint32'),
    numpy.dtype('uint64'),
    numpy.dtype('float32'),
    numpy.dtype('float64'),
    numpy.dtype('complex64')
]

errors = 0
tests = 0

for dtype in dtype_list:
    for dtype2 in dtype_list:
        a = numpy.arange(5, dtype=dtype)
        b = numpy.arange(5, dtype=dtype2)
        numpy_result = (a * b).__str__()
        a = thunklib.thunk(a)
        b = thunklib.thunk(b)
        thunk_result = (a * b).__str__()
        if thunk_result != numpy_result:
            errors += 1
            print("Failed test %s*%s" % (dtype, dtype2))
        tests += 1

print("\nFailed %d/%d tests." % (errors, tests) if errors > 0 else "Success!")

Example #10

File: typebenchmark.py Project: Mytherin/LazyArray

import numpy
import time
import thunklib

element_count = 100000000

numpy.random.seed(137)
a = numpy.random.randint(0,100,element_count).astype(numpy.float64)
b = numpy.random.randint(0,100,element_count).astype(numpy.float64)

start = time.time()
d = a * b
end = time.time()

print("NumPy Evaluation", end - start)


numpy.random.seed(137)

a = thunklib.thunk(numpy.random.randint(0,100,element_count).astype(numpy.float64))
b = thunklib.thunk(numpy.random.randint(0,100,element_count).astype(numpy.float64))

start = time.time()
d = a * b
d.evaluate()
end = time.time()

print("Pipelined Evaluation", end - start)

Example #11

File: thunk.py Project: zeta1999/LazyArray

import numpy

npy = numpy.arange(2048, dtype=numpy.int32)
npy2 = numpy.repeat([2], 2048).astype(numpy.int32)

import thunklib
a = thunklib.thunk(npy)
c = thunklib.thunk(npy2)
print(a)
b = a * c
print(b)
print(b)
print(a)
print(c)