def Gregory(type=float):
"""Return partial sums of the Gregory series converging to atan(1) == pi/4.
Yield 1 - 1/3 + 1/5 - 1/7 + ... computed with the given type.
"""
return seq(type(1), step=2) >> map(lambda x: 1 / x) >> alt_sign >> fold(
operator.add)
odd_ans = reduce(ops.add, odds )
static_time = time() - ts
#streaming computation
# create our filters
cong_2 = lambda x: x%2==0
evens = filter(cong_2)
odds = filter(lambda x: not cong_2(x))
ts = time()
# wire the split into the filters
instream >> tee(evens)
instream >> odds
# wire up the map and fold (scan/accumulate)
foldedevens = (evens >> stream.map(math.sqrt) >> fold(ops.add))
print(time() - ts)
sqrtodds = odds >> (stream.Processor(my_sqrt))
print("established the sqrter %f" % (time() - ts))
foldedodd = sqrtodds >> stream.fold(ops.add)
print("made odd folder: %f" % (time() - ts))
# force execution
soans = foldedodd >> item[-1:]
print(soans)
print(time() - ts)
seans = foldedevens >> item[:]
print(time() - ts)
stream_time = time() - ts
#print(even_ans)
#print(seans >> item[:])
evens = instream[::2]
odds = instream[1::2]
even_ans = scan(ops.add, evens)
odd_ans = scan(ops.add, odds )
static_time = time() - ts
#streaming
#these just create objects that are going to accept streams
cong_2 = lambda x: x%2==0
evens = filter(cong_2)
odds = filter(lambda x: not cong_2(x))
ts = time()
#do the wiring
instream >> tee(evens)
instream >> odds
seans = evens >> fold(ops.add)
soans = odds >> fold(ops.add)
#seans = evens >> stream.reduce(ops.add)
#soans = odds >> stream.reduce(ops.add)
# trigger execution
seans = seans >> item[:]
soans = soans >> item[:]
stream_time = time() - ts
#print(even_ans)
#print(seans >> item[:])
#print(odd_ans)
#print(soans >> item[:])
#make sure we got the right answer
#!/usr/bin/env python import operator from random import choice from stream import repeatcall, apply, fold, takei, takewhile, drop, item vectoradd = lambda u, v: zip(u, v) >> apply(operator.add) >> list Origin = [0, 0] Directions = [[1,0], [0,1], [-1,0], [0,-1]] randwalk = lambda: repeatcall(choice, Directions) >> fold(vectoradd, initval=Origin) def returned(n): """Generate a random walk and return True if the walker has returned to the origin after taking `n` steps. """ ## `takei` yield lazily so we can short-circuit and avoid computing the rest of the walk for pos in randwalk() >> drop(1) >> takei(xrange(n-1)): if pos == Origin: return True return False def first_return(): """Generate a random walk and return its length upto the moment that the walker first returns to the origin. It is mathematically provable that the walker will eventually return, meaning that the function call will halt, although it may take
def Gregory(type=float): """Return partial sums of the Gregory series converging to atan(1) == pi/4. Yield 1 - 1/3 + 1/5 - 1/7 + ... computed with the given type. """ return seq(type(1), step=2) >> map(lambda x: 1/x) >> alt_sign >> fold(operator.add)
