本文整理匯總了Python中numpy.nditer.close方法的典型用法代碼示例。如果您正苦於以下問題：Python nditer.close方法的具體用法？Python nditer.close怎麽用？Python nditer.close使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy.nditer的用法示例。
在下文中一共展示了nditer.close方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_close_equivalent
# 需要導入模塊: from numpy import nditer [as 別名]
# 或者: from numpy.nditer import close [as 別名]
def test_close_equivalent():
''' using a context amanger and using nditer.close are equivalent
'''
def add_close(x, y, out=None):
addop = np.add
it = np.nditer([x, y, out], [],
[['readonly'], ['readonly'], ['writeonly','allocate']])
for (a, b, c) in it:
addop(a, b, out=c)
ret = it.operands[2]
it.close()
return ret
def add_context(x, y, out=None):
addop = np.add
it = np.nditer([x, y, out], [],
[['readonly'], ['readonly'], ['writeonly','allocate']])
with it:
for (a, b, c) in it:
addop(a, b, out=c)
return it.operands[2]
z = add_close(range(5), range(5))
assert_equal(z, range(0, 10, 2))
z = add_context(range(5), range(5))
assert_equal(z, range(0, 10, 2)) 示例2: test_dtype_copy
# 需要導入模塊: from numpy import nditer [as 別名]
# 或者: from numpy.nditer import close [as 別名]
def test_dtype_copy(self):
# Test nested iteration with a copy to change dtype
# copy
a = arange(6, dtype='i4').reshape(2, 3)
i, j = np.nested_iters(a, [[0], [1]],
op_flags=['readonly', 'copy'],
op_dtypes='f8')
assert_equal(j[0].dtype, np.dtype('f8'))
vals = [list(j) for _ in i]
assert_equal(vals, [[0, 1, 2], [3, 4, 5]])
vals = None
# writebackifcopy - using conext manager
a = arange(6, dtype='f4').reshape(2, 3)
i, j = np.nested_iters(a, [[0], [1]],
op_flags=['readwrite', 'updateifcopy'],
casting='same_kind',
op_dtypes='f8')
with i, j:
assert_equal(j[0].dtype, np.dtype('f8'))
for x in i:
for y in j:
y[...] += 1
assert_equal(a, [[0, 1, 2], [3, 4, 5]])
assert_equal(a, [[1, 2, 3], [4, 5, 6]])
# writebackifcopy - using close()
a = arange(6, dtype='f4').reshape(2, 3)
i, j = np.nested_iters(a, [[0], [1]],
op_flags=['readwrite', 'updateifcopy'],
casting='same_kind',
op_dtypes='f8')
assert_equal(j[0].dtype, np.dtype('f8'))
for x in i:
for y in j:
y[...] += 1
assert_equal(a, [[0, 1, 2], [3, 4, 5]])
i.close()
j.close()
assert_equal(a, [[1, 2, 3], [4, 5, 6]]) 示例3: test_close_raises
# 需要導入模塊: from numpy import nditer [as 別名]
# 或者: from numpy.nditer import close [as 別名]
def test_close_raises():
it = np.nditer(np.arange(3))
assert_equal (next(it), 0)
it.close()
assert_raises(StopIteration, next, it)
assert_raises(ValueError, getattr, it, 'operands') 示例4: test_dtype_copy
# 需要導入模塊: from numpy import nditer [as 別名]
# 或者: from numpy.nditer import close [as 別名]
def test_dtype_copy(self):
# Test nested iteration with a copy to change dtype
# copy
a = arange(6, dtype='i4').reshape(2, 3)
i, j = np.nested_iters(a, [[0], [1]],
op_flags=['readonly', 'copy'],
op_dtypes='f8')
assert_equal(j[0].dtype, np.dtype('f8'))
vals = []
for x in i:
vals.append([y for y in j])
assert_equal(vals, [[0, 1, 2], [3, 4, 5]])
vals = None
# writebackifcopy - using conext manager
a = arange(6, dtype='f4').reshape(2, 3)
i, j = np.nested_iters(a, [[0], [1]],
op_flags=['readwrite', 'updateifcopy'],
casting='same_kind',
op_dtypes='f8')
with i, j:
assert_equal(j[0].dtype, np.dtype('f8'))
for x in i:
for y in j:
y[...] += 1
assert_equal(a, [[0, 1, 2], [3, 4, 5]])
assert_equal(a, [[1, 2, 3], [4, 5, 6]])
# writebackifcopy - using close()
a = arange(6, dtype='f4').reshape(2, 3)
i, j = np.nested_iters(a, [[0], [1]],
op_flags=['readwrite', 'updateifcopy'],
casting='same_kind',
op_dtypes='f8')
assert_equal(j[0].dtype, np.dtype('f8'))
for x in i:
for y in j:
y[...] += 1
assert_equal(a, [[0, 1, 2], [3, 4, 5]])
i.close()
j.close()
assert_equal(a, [[1, 2, 3], [4, 5, 6]])