All Samples(90322) | Call(87865) | Derive(2447) | Import(10)
list() -> new empty list list(iterable) -> new list initialized from iterable's items
src/s/h/shedskin-HEAD/examples/sha.py shedskin(Download)
"""
inBuf = list(inBufseq) # make it a list
leninBuf = len(inBuf)
if leninBuf >= partLen:
self.input[index:] = list(inBuf[:partLen])
self._transform(_bytelist2longBigEndian(self.input))
i = partLen
while i + 63 < leninBuf:
self._transform(_bytelist2longBigEndian(list(inBuf[i:i+64])))
i = i + 64
else:
self.input = list(inBuf[i:leninBuf])
else:
i = 0
self.input = self.input + list(inBuf)
src/d/i/diksel-HEAD/trunk/thirdparty/pyjamasdev/examples/libtest/ListTest.py diksel(Download)
def testConstructor(self):
l1 = list()
self.assertEqual(len(l1),0)
# only accept list or iterator
l2 = list()
self.assertEqual(len(l2),0)
l3 = list([])
self.assertEqual(len(l3),0)
l4 = list([10,])
self.assertEqual(len(l4),1)
self.assertEqual(l4[0],10)
l5 = list(range(10,40,10))
src/r/d/rdf-0.9a6/examples/swap_primer.py rdf(Download)
from pprint import pprint pprint(list(primer)) # just think .whatever((s, p, o)) # here we report on what we know pprint(list(primer.subjects())) pprint(list(primer.predicates()))
pprint(list(primer.subjects())) pprint(list(primer.predicates())) pprint(list(primer.objects())) # and other things that make sense # what do we know about pat? pprint(list(primer.predicate_objects(myNS.pat)))
src/i/p/ipython-py3k-HEAD/docs/examples/newparallel/davinci/pwordfreq.py ipython-py3k(Download)
word_set = set()
for f in freqs_list:
word_set.update(list(f.keys()))
freqs = dict(list(zip(word_set, repeat(0))))
for f in freqs_list:
print("Took %.3f s to calcluate on %i engines"%(toc-tic, len(view.targets)))
# cleanup split files
list(map(os.remove, fnames))
src/p/r/processing-0.52/examples/ex_pool.py processing(Download)
t = time.time()
C = list(pool.imap(pow3, xrange(N), chunksize=N//8))
print '\tlist(pool.imap(pow3, xrange(%d), chunksize=%d)):\n\t\t%s' \
' seconds' % (N, N//8, time.time() - t)
assert A == B == C, (len(A), len(B), len(C))
t = time.time()
C = list(pool.imap(noop, L, chunksize=len(L)//8))
print '\tlist(pool.imap(noop, L, chunksize=%d)):\n\t\t%s seconds' % \
(len(L)//8, time.time() - t)
assert A == B == C, (len(A), len(B), len(C))
src/p/y/PyProp-HEAD/examples/tensor/helium_stabilization/plot_poster.py PyProp(Download)
def SandbjergMakePlotIonization(): e0, single, double = GetIonizationProbabilityScan() #add zeros to start and end to get proper closed polys e0 = array([0] + list(e0) + [e0[-1]+1]) single = array([0] + list(single) + [0]) double = array([0] + list(double) + [0])
src/p/y/PyProp-HEAD/examples/tensor/helium_stabilization/plot_paper.py PyProp(Download)
#add zeros to start and end to get proper closed polys e0 = array([0] + list(e0) + [e0[-1]+1]) single = array([0] + list(single) + [0]) double = array([0] + list(double) + [0])
src/p/y/pyDatalog-0.12.0/pyDatalog/examples/test.py pyDatalog(Download)
assert (A.c[X]=='a') == [(a,)]
assert (A.c[X]=='a')[0] == (a,)
assert list(X) == [a]
assert X.v() == a
assert ((A.c[a]==X) >= X) == 'a'
assert ((A.c[a]==X) & (A.c[a]==X) >= X) == 'a'
assert ((A.c[a]==X) & (A.c[b]==X) >= X) == None
(A.c[X]=='b') & (A.b[X]=='a')
assert list(X) == []
assert list(X) == []
(A.c[X]=='a') & (A.b[X]=='a')
assert list(X) == [a]
result = (A.c[X]=='a') & (A.b[X]=='a')
assert result == [(a,)]
assert (A.b[X]!='z') == [(a,), (b,)]
assert (A.b[a]!='a') == []
assert list(A.b[b]!='a') == [()]
assert ((A.b[b]!='a') & (A.b[b]!='z')) == [()]
assert (Z.z[X]=='z') == [(z,)]
assert ((Z.z[X]=='z') & (Z.z[X]>'a')) == [(z,)]
assert list(X) == [z]
try:
a.z == 'z'
src/s/y/sympy-0.7.2/examples/advanced/pyglet_plotting.py sympy(Download)
iu.v_steps /= 5
iv.v_steps /= 5
Gvl = list(list([FF(u, v), FG(u, v)]
for v in iv.frange())
for u in iu.frange())
src/b/a/badger-lib-HEAD/packages/pyparsing/examples/pymicko.py badger-lib(Download)
if DEBUG > 2: return
#iterate through all multiplications/divisions
m = list(mul)
while len(m) > 1:
if not self.symtab.same_types(m[0], m[2]):
if DEBUG > 2: return
#iterate through all additions/substractions
n = list(num)
while len(n) > 1:
if not self.symtab.same_types(n[0], n[2]):
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