Python operator 模块，neg() 实例源码
我们从Python开源项目中，提取了以下50个代码示例，用于说明如何使用operator.neg()。
def mk_seconds(mg, **kwargs):
rv = 0.0
secday = 86400
grps = mg.groupdict()
if 'd' in grps and mg.group('d'):
rv += float(mg.group('d'))*secday
if 'h' in grps and mg.group('h'):
rv += float(mg.group('h'))*3600.0
if 'm' in grps and mg.group('m'):
rv += float(mg.group('m'))*60.0
if 's' in grps and mg.group('s'):
rv += float(mg.group('s'))
if 'offset' in grps and mg.group('offset'):
rv += (int(mg.group('offset')) + (math.floor(float(kwargs.get('start', 0))/secday))) * secday
if 'neg' in grps and mg.group('neg'):
rv *= -1
return rv
def test_map(self):
self.assertEqual(list(map(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
def tupleize(*args):
return args
self.assertEqual(list(map(tupleize, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(map(tupleize, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,map(tupleize, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(map(operator.pow, [])), [])
self.assertRaises(TypeError, map)
self.assertRaises(TypeError, list, map(None, range(3), range(3)))
self.assertRaises(TypeError, map, operator.neg)
self.assertRaises(TypeError, next, map(10, range(5)))
self.assertRaises(ValueError, next, map(errfunc, [4], [5]))
self.assertRaises(TypeError, next, map(onearg, [4], [5]))
def number_of_args(fn):
"""Return the number of positional arguments for a function, or None if the number is variable.
Looks inside any decorated functions."""
try:
if hasattr(fn, '__wrapped__'):
return number_of_args(fn.__wrapped__)
if any(p.kind == p.VAR_POSITIONAL for p in signature(fn).parameters.values()):
return None
else:
return sum(p.kind in (p.POSITIONAL_ONLY, p.POSITIONAL_OR_KEYWORD) for p in signature(fn).parameters.values())
except ValueError:
# signatures don't work for built-in operators, so check for a few explicitly
UNARY_OPS = [len, op.not_, op.truth, op.abs, op.index, op.inv, op.invert, op.neg, op.pos]
BINARY_OPS = [op.lt, op.le, op.gt, op.ge, op.eq, op.ne, op.is_, op.is_not, op.add, op.and_, op.floordiv, op.lshift, op.mod, op.mul, op.or_, op.pow, op.rshift, op.sub, op.truediv, op.xor, op.concat, op.contains, op.countOf, op.delitem, op.getitem, op.indexOf]
TERNARY_OPS = [op.setitem]
if fn in UNARY_OPS:
return 1
elif fn in BINARY_OPS:
return 2
elif fn in TERNARY_OPS:
return 3
else:
raise NotImplementedError("Bult-in operator {} not supported".format(fn))
def _count_to_pvalue(island_enriched_threshold,
average_window_readcount, df):
# type: (int, float, pd.DataFrame) -> pd.DataFrame
df = df.loc[df["ChIP"] >= island_enriched_threshold]
scores = df["ChIP"].apply(
lambda count: _poisson(count, average_window_readcount) + 0.000001)
df.insert(len(df.columns), "Score", scores)
pd.options.mode.chained_assignment = None
df["Score"] = df["Score"].apply(log)
df["Score"] = df["Score"].apply(minus)
pd.options.mode.chained_assignment = "warn"
return df
def get_default_operators():
""" generate a mapping of default operators allowed for evaluation """
return {
'u-': Func(1, operator.neg), # unary negation
'u%': Func(1, lambda a: a / Decimal(100)), # unary percentage
'&': Func(2, operator.concat),
'^': Func(2, operator.pow),
'+': Func(2, op_add),
'-': Func(2, operator.sub),
'/': Func(2, operator.truediv),
'*': Func(2, operator.mul),
'=': Func(2, operator.eq),
'<>': Func(2, lambda a, b: not operator.eq(a, b)),
'>': Func(2, operator.gt),
'<': Func(2, operator.lt),
'>=': Func(2, operator.ge),
'<=': Func(2, operator.le),
}
def eval_expr(expr):
import ast
import operator as op
op = {
ast.Add: op.add,
ast.Sub: op.sub,
ast.Mult: op.mul,
ast.Div: op.truediv,
ast.Pow: op.pow,
ast.BitXor: op.xor,
ast.USub: op.neg,
}
def eval_(node):
if isinstance(node, ast.Num):
return fractions.Fraction(node.n)
elif isinstance(node, ast.BinOp):
return op[type(node.op)](eval_(node.left), eval_(node.right))
elif isinstance(node, ast.UnaryOp):
return op[type(node.op)](eval_(node.operand))
raise TypeError(node)
return eval_(ast.parse(str(expr), mode='eval').body)
def sort_metrics(cls, desc, metrics):
"""Order data series"""
metas = desc['series'].get('metas') or []
if metas:
key_builder = []
for meta in metas:
if meta.startswith('-'):
key_builder.append(compose(
operator.neg,
operator.itemgetter(meta[1:])
))
else:
key_builder.append(operator.itemgetter(meta))
def _key_builder_func(metric):
return [
getter(metric['metas'])
for getter in key_builder
]
metrics.sort(key=_key_builder_func)
return metrics
def __neg__(self):
return Vector(self._unaryOp(operator.neg), keep=True)
def __neg__(self):
return self.__class__(operator.neg(self._magnitude), self._units)
def test_quantity_abs_round(self):
x = self.Q_(-4.2, 'meter')
y = self.Q_(4.2, 'meter')
# In Python 3+ round of x is delegated to x.__round__, instead of round(x.__float__)
# and therefore it can be properly implemented by Pint
for fun in (abs, op.pos, op.neg) + (round, ) if PYTHON3 else ():
zx = self.Q_(fun(x.magnitude), 'meter')
zy = self.Q_(fun(y.magnitude), 'meter')
rx = fun(x)
ry = fun(y)
self.assertEqual(rx, zx, 'while testing {0}'.format(fun))
self.assertEqual(ry, zy, 'while testing {0}'.format(fun))
self.assertIsNot(rx, zx, 'while testing {0}'.format(fun))
self.assertIsNot(ry, zy, 'while testing {0}'.format(fun))
def test_unary_minus_operator_deprecation(self):
array = np.array([True])
generic = np.bool_(True)
# Unary minus/negative ufunc:
self.assert_deprecated(operator.neg, args=(array,))
self.assert_deprecated(operator.neg, args=(generic,))
def test_neg_array(self, xp, dtype):
a = testing.shaped_arange((2, 3), xp, dtype)
return operator.neg(a)
def test_neg_zerodim(self, xp, dtype):
a = xp.array(-2, dtype)
return operator.neg(a)
def test_neg(self):
self.assertRaises(TypeError, operator.neg)
self.assertRaises(TypeError, operator.neg, None)
self.assertEqual(operator.neg(5), -5)
self.assertEqual(operator.neg(-5), 5)
self.assertEqual(operator.neg(0), 0)
self.assertEqual(operator.neg(-0), 0)
def test_max(self):
self.assertEqual(max('123123'), '3')
self.assertEqual(max(1, 2, 3), 3)
self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)
self.assertEqual(max(1, 2, 3.0), 3.0)
self.assertEqual(max(1, 2.0, 3), 3)
self.assertEqual(max(1.0, 2, 3), 3)
for stmt in (
"max(key=int)", # no args
"max(1, key=int)", # single arg not iterable
"max(1, 2, keystone=int)", # wrong keyword
"max(1, 2, key=int, abc=int)", # two many keywords
"max(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt, globals())
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(max((1,), key=neg), 1) # one elem iterable
self.assertEqual(max((1,2), key=neg), 1) # two elem iterable
self.assertEqual(max(1, 2, key=neg), 1) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(max(data, key=f),
sorted(reversed(data), key=f)[-1])
def test_min(self):
self.assertEqual(min('123123'), '1')
self.assertEqual(min(1, 2, 3), 1)
self.assertEqual(min((1, 2, 3, 1, 2, 3)), 1)
self.assertEqual(min([1, 2, 3, 1, 2, 3]), 1)
self.assertEqual(min(1, 2, 3.0), 1)
self.assertEqual(min(1, 2.0, 3), 1)
self.assertEqual(min(1.0, 2, 3), 1.0)
self.assertRaises(TypeError, min)
self.assertRaises(TypeError, min, 42)
self.assertRaises(ValueError, min, ())
class BadSeq:
def __getitem__(self, index):
raise ValueError
self.assertRaises(ValueError, min, BadSeq())
for stmt in (
"min(key=int)", # no args
"min(1, key=int)", # single arg not iterable
"min(1, 2, keystone=int)", # wrong keyword
"min(1, 2, key=int, abc=int)", # two many keywords
"min(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt, globals())
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(min((1,), key=neg), 1) # one elem iterable
self.assertEqual(min((1,2), key=neg), 2) # two elem iterable
self.assertEqual(min(1, 2, key=neg), 2) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(min(data, key=f),
sorted(data, key=f)[0])
def __neg__(self):
return NonStandardInteger(operator.neg(self.val))
def test_unary_minus_operator_deprecation(self):
array = np.array([True])
generic = np.bool_(True)
# Unary minus/negative ufunc:
self.assert_deprecated(operator.neg, args=(array,))
self.assert_deprecated(operator.neg, args=(generic,))
def test_registry_association():
ds = fake_random_ds(64, nprocs=1, length_unit=10)
a = ds.quan(3, 'cm')
b = YTQuantity(4, 'm')
c = ds.quan(6, '')
d = 5
assert_equal(id(a.units.registry), id(ds.unit_registry))
def binary_op_registry_comparison(op):
e = op(a, b)
f = op(b, a)
g = op(c, d)
h = op(d, c)
assert_equal(id(e.units.registry), id(ds.unit_registry))
assert_equal(id(f.units.registry), id(b.units.registry))
assert_equal(id(g.units.registry), id(h.units.registry))
assert_equal(id(g.units.registry), id(ds.unit_registry))
def unary_op_registry_comparison(op):
c = op(a)
d = op(b)
assert_equal(id(c.units.registry), id(ds.unit_registry))
assert_equal(id(d.units.registry), id(b.units.registry))
binary_ops = [operator.add, operator.sub, operator.mul,
operator.truediv]
if hasattr(operator, "div"):
binary_ops.append(operator.div)
for op in binary_ops:
binary_op_registry_comparison(op)
for op in [operator.abs, operator.neg, operator.pos]:
unary_op_registry_comparison(op)
def test_neg(self):
self.assertRaises(TypeError, operator.neg)
self.assertRaises(TypeError, operator.neg, None)
self.assertTrue(operator.neg(5) == -5)
self.assertTrue(operator.neg(-5) == 5)
self.assertTrue(operator.neg(0) == 0)
self.assertTrue(operator.neg(-0) == 0)
def test_imap(self):
self.assertEqual(list(imap(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
self.assertEqual(list(imap(None, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(imap(None, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,imap(None, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(imap(operator.pow, [])), [])
self.assertRaises(TypeError, imap)
self.assertRaises(TypeError, imap, operator.neg)
self.assertRaises(TypeError, imap(10, range(5)).next)
self.assertRaises(ValueError, imap(errfunc, [4], [5]).next)
self.assertRaises(TypeError, imap(onearg, [4], [5]).next)
def test_max(self):
self.assertEqual(max('123123'), '3')
self.assertEqual(max(1, 2, 3), 3)
self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)
self.assertEqual(max(1, 2L, 3.0), 3.0)
self.assertEqual(max(1L, 2.0, 3), 3)
self.assertEqual(max(1.0, 2, 3L), 3L)
for stmt in (
"max(key=int)", # no args
"max(1, key=int)", # single arg not iterable
"max(1, 2, keystone=int)", # wrong keyword
"max(1, 2, key=int, abc=int)", # two many keywords
"max(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt) in globals()
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(max((1,), key=neg), 1) # one elem iterable
self.assertEqual(max((1,2), key=neg), 1) # two elem iterable
self.assertEqual(max(1, 2, key=neg), 1) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(max(data, key=f),
sorted(reversed(data), key=f)[-1])
def test_neg(self):
self.assertRaises(TypeError, operator.neg)
self.assertRaises(TypeError, operator.neg, None)
self.assertTrue(operator.neg(5) == -5)
self.assertTrue(operator.neg(-5) == 5)
self.assertTrue(operator.neg(0) == 0)
self.assertTrue(operator.neg(-0) == 0)
def test_imap(self):
self.assertEqual(list(imap(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
self.assertEqual(list(imap(None, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(imap(None, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,imap(None, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(imap(operator.pow, [])), [])
self.assertRaises(TypeError, imap)
self.assertRaises(TypeError, imap, operator.neg)
self.assertRaises(TypeError, imap(10, range(5)).next)
self.assertRaises(ValueError, imap(errfunc, [4], [5]).next)
self.assertRaises(TypeError, imap(onearg, [4], [5]).next)
def test_max(self):
self.assertEqual(max('123123'), '3')
self.assertEqual(max(1, 2, 3), 3)
self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)
self.assertEqual(max(1, 2L, 3.0), 3.0)
self.assertEqual(max(1L, 2.0, 3), 3)
self.assertEqual(max(1.0, 2, 3L), 3L)
for stmt in (
"max(key=int)", # no args
"max(1, key=int)", # single arg not iterable
"max(1, 2, keystone=int)", # wrong keyword
"max(1, 2, key=int, abc=int)", # two many keywords
"max(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt) in globals()
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(max((1,), key=neg), 1) # one elem iterable
self.assertEqual(max((1,2), key=neg), 1) # two elem iterable
self.assertEqual(max(1, 2, key=neg), 1) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(max(data, key=f),
sorted(reversed(data), key=f)[-1])
def test_max(self):
self.assertEqual(max('123123'), '3')
self.assertEqual(max(1, 2, 3), 3)
self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)
self.assertEqual(max(1, 2, 3.0), 3.0)
self.assertEqual(max(1, 2.0, 3), 3)
self.assertEqual(max(1.0, 2, 3), 3)
for stmt in (
"max(key=int)", # no args
"max(1, key=int)", # single arg not iterable
"max(1, 2, keystone=int)", # wrong keyword
"max(1, 2, key=int, abc=int)", # two many keywords
"max(1, 2, key=1)", # keyfunc is not callable
):
try:
exec_(stmt, globals())
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(max((1,), key=neg), 1) # one elem iterable
self.assertEqual(max((1,2), key=neg), 1) # two elem iterable
self.assertEqual(max(1, 2, key=neg), 1) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(max(data, key=f),
sorted(reversed(data), key=f)[-1])
def test_min(self):
self.assertEqual(min('123123'), '1')
self.assertEqual(min(1, 2, 3), 1)
self.assertEqual(min((1, 2, 3, 1, 2, 3)), 1)
self.assertEqual(min([1, 2, 3, 1, 2, 3]), 1)
self.assertEqual(min(1, 2, 3.0), 1)
self.assertEqual(min(1, 2.0, 3), 1)
self.assertEqual(min(1.0, 2, 3), 1.0)
self.assertRaises(TypeError, min)
self.assertRaises(TypeError, min, 42)
self.assertRaises(ValueError, min, ())
class BadSeq:
def __getitem__(self, index):
raise ValueError
self.assertRaises(ValueError, min, BadSeq())
for stmt in (
"min(key=int)", # no args
"min(1, key=int)", # single arg not iterable
"min(1, 2, keystone=int)", # wrong keyword
"min(1, 2, key=int, abc=int)", # two many keywords
"min(1, 2, key=1)", # keyfunc is not callable
):
try:
exec_(stmt, globals())
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(min((1,), key=neg), 1) # one elem iterable
self.assertEqual(min((1,2), key=neg), 2) # two elem iterable
self.assertEqual(min(1, 2, key=neg), 2) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(min(data, key=f),
sorted(data, key=f)[0])
def test_max(self):
self.assertEqual(max('123123'), '3')
self.assertEqual(max(1, 2, 3), 3)
self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)
self.assertEqual(max(1, 2, 3.0), 3.0)
self.assertEqual(max(1, 2.0, 3), 3)
self.assertEqual(max(1.0, 2, 3), 3)
for stmt in (
"max(key=int)", # no args
"max(1, key=int)", # single arg not iterable
"max(1, 2, keystone=int)", # wrong keyword
"max(1, 2, key=int, abc=int)", # two many keywords
"max(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt) in globals()
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(max((1,), key=neg), 1) # one elem iterable
self.assertEqual(max((1,2), key=neg), 1) # two elem iterable
self.assertEqual(max(1, 2, key=neg), 1) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(max(data, key=f),
sorted(reversed(data), key=f)[-1])
def test_neg_array(self):
self.check_array_op(operator.neg)
def test_neg_zerodim(self):
self.check_zerodim_op(operator.neg)
def setUp(self):
super(CoreUnaryOpsTest, self).setUp()
self.ops = [
('abs', operator.abs, tf.abs, core.abs_function),
('neg', operator.neg, tf.neg, core.neg),
# TODO(shoyer): add unary + to core TensorFlow
('pos', None, None, None),
('sign', None, tf.sign, core.sign),
('reciprocal', None, tf.reciprocal, core.reciprocal),
('square', None, tf.square, core.square),
('round', None, tf.round, core.round_function),
('sqrt', None, tf.sqrt, core.sqrt),
('rsqrt', None, tf.rsqrt, core.rsqrt),
('log', None, tf.log, core.log),
('exp', None, tf.exp, core.exp),
('log', None, tf.log, core.log),
('ceil', None, tf.ceil, core.ceil),
('floor', None, tf.floor, core.floor),
('cos', None, tf.cos, core.cos),
('sin', None, tf.sin, core.sin),
('tan', None, tf.tan, core.tan),
('acos', None, tf.acos, core.acos),
('asin', None, tf.asin, core.asin),
('atan', None, tf.atan, core.atan),
('lgamma', None, tf.lgamma, core.lgamma),
('digamma', None, tf.digamma, core.digamma),
('erf', None, tf.erf, core.erf),
('erfc', None, tf.erfc, core.erfc),
('lgamma', None, tf.lgamma, core.lgamma),
]
total_size = np.prod([v.size for v in self.original_lt.axes.values()])
self.test_lt = core.LabeledTensor(
tf.cast(self.original_lt, tf.float32) / total_size,
self.original_lt.axes)
def __neg__(self):
return NonStandardInteger(operator.neg(self.val))
def test_neg(self):
self.assertRaises(TypeError, operator.neg)
self.assertRaises(TypeError, operator.neg, None)
self.assertEqual(operator.neg(5), -5)
self.assertEqual(operator.neg(-5), 5)
self.assertEqual(operator.neg(0), 0)
self.assertEqual(operator.neg(-0), 0)
def test_map(self):
self.assertEqual(list(map(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
self.assertEqual(list(map(tupleize, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(map(tupleize, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,map(tupleize, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(map(operator.pow, [])), [])
self.assertRaises(TypeError, map)
self.assertRaises(TypeError, list, map(None, range(3), range(3)))
self.assertRaises(TypeError, map, operator.neg)
self.assertRaises(TypeError, next, map(10, range(5)))
self.assertRaises(ValueError, next, map(errfunc, [4], [5]))
self.assertRaises(TypeError, next, map(onearg, [4], [5]))
# check copy, deepcopy, pickle
ans = [('a',0),('b',1),('c',2)]
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.copy(c)), ans)
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.deepcopy(c)), ans)
c = map(tupleize, 'abc', count())
self.pickletest(c)
def test_max(self):
self.assertEqual(max('123123'), '3')
self.assertEqual(max(1, 2, 3), 3)
self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)
self.assertEqual(max(1, 2, 3.0), 3.0)
self.assertEqual(max(1, 2.0, 3), 3)
self.assertEqual(max(1.0, 2, 3), 3)
for stmt in (
"max(key=int)", # no args
"max(1, key=int)", # single arg not iterable
"max(1, 2, keystone=int)", # wrong keyword
"max(1, 2, key=int, abc=int)", # two many keywords
"max(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt, globals())
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(max((1,), key=neg), 1) # one elem iterable
self.assertEqual(max((1,2), key=neg), 1) # two elem iterable
self.assertEqual(max(1, 2, key=neg), 1) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(max(data, key=f),
sorted(reversed(data), key=f)[-1])
def test_min(self):
self.assertEqual(min('123123'), '1')
self.assertEqual(min(1, 2, 3), 1)
self.assertEqual(min((1, 2, 3, 1, 2, 3)), 1)
self.assertEqual(min([1, 2, 3, 1, 2, 3]), 1)
self.assertEqual(min(1, 2, 3.0), 1)
self.assertEqual(min(1, 2.0, 3), 1)
self.assertEqual(min(1.0, 2, 3), 1.0)
self.assertRaises(TypeError, min)
self.assertRaises(TypeError, min, 42)
self.assertRaises(ValueError, min, ())
class BadSeq:
def __getitem__(self, index):
raise ValueError
self.assertRaises(ValueError, min, BadSeq())
for stmt in (
"min(key=int)", # no args
"min(1, key=int)", # single arg not iterable
"min(1, 2, keystone=int)", # wrong keyword
"min(1, 2, key=int, abc=int)", # two many keywords
"min(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt, globals())
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(min((1,), key=neg), 1) # one elem iterable
self.assertEqual(min((1,2), key=neg), 2) # two elem iterable
self.assertEqual(min(1, 2, key=neg), 2) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(min(data, key=f),
sorted(data, key=f)[0])
def __neg__(self):
return Vec2d(operator.neg(self.x), operator.neg(self.y))
def __neg__(self):
values = _values_from_object(self)
if values.dtype == np.bool_:
arr = operator.inv(values)
else:
arr = operator.neg(values)
return self.__array_wrap__(arr)
def take(self, indices, axis=0, convert=True, is_copy=True):
"""
Analogous to ndarray.take
Parameters
----------
indices : list / array of ints
axis : int, default 0
convert : translate neg to pos indices (default)
is_copy : mark the returned frame as a copy
Returns
-------
taken : type of caller
"""
self._consolidate_inplace()
new_data = self._data.take(indices,
axis=self._get_block_manager_axis(axis),
convert=True, verify=True)
result = self._constructor(new_data).__finalize__(self)
# maybe set copy if we didn't actually change the index
if is_copy:
if not result._get_axis(axis).equals(self._get_axis(axis)):
result._set_is_copy(self)
return result
def test_unary_minus_operator_deprecation(self):
array = np.array([True])
generic = np.bool_(True)
# Unary minus/negative ufunc:
self.assert_deprecated(operator.neg, args=(array,))
self.assert_deprecated(operator.neg, args=(generic,))
def negative(x):
"""
Like -x, except that a zero dimensional numpy array input results in a numpy array return value.
This works on garrays, numpy arrays, and numbers, preserving type (though all numbers become floats).
"""
return _elementwise__base(x, operator.neg, operator.neg)
def all_fields(self, **kwargs):
return [
self.build_help_field(),
{
'type': 'unicode',
'required': True,
'key': 'operation',
'choices': 'add|Add,sub|Subtract,mul|Multiply,div|Divide,neg|Make Negative',
'help_text': 'The math operation to perform.'
},
self.build_list_input_field()
]
def test_unary_minus_operator_deprecation(self):
array = np.array([True])
generic = np.bool_(True)
# Unary minus/negative ufunc:
self.assert_deprecated(operator.neg, args=(array,))
self.assert_deprecated(operator.neg, args=(generic,))
def test_neg(self):
self.assertRaises(TypeError, operator.neg)
self.assertRaises(TypeError, operator.neg, None)
self.assertTrue(operator.neg(5) == -5)
self.assertTrue(operator.neg(-5) == 5)
self.assertTrue(operator.neg(0) == 0)
self.assertTrue(operator.neg(-0) == 0)
def test_imap(self):
self.assertEqual(list(imap(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
self.assertEqual(list(imap(None, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(imap(None, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,imap(None, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(imap(operator.pow, [])), [])
self.assertRaises(TypeError, imap)
self.assertRaises(TypeError, imap, operator.neg)
self.assertRaises(TypeError, imap(10, range(5)).next)
self.assertRaises(ValueError, imap(errfunc, [4], [5]).next)
self.assertRaises(TypeError, imap(onearg, [4], [5]).next)
def test_max(self):
self.assertEqual(max('123123'), '3')
self.assertEqual(max(1, 2, 3), 3)
self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)
self.assertEqual(max(1, 2L, 3.0), 3.0)
self.assertEqual(max(1L, 2.0, 3), 3)
self.assertEqual(max(1.0, 2, 3L), 3L)
for stmt in (
"max(key=int)", # no args
"max(1, key=int)", # single arg not iterable
"max(1, 2, keystone=int)", # wrong keyword
"max(1, 2, key=int, abc=int)", # two many keywords
"max(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt) in globals()
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(max((1,), key=neg), 1) # one elem iterable
self.assertEqual(max((1,2), key=neg), 1) # two elem iterable
self.assertEqual(max(1, 2, key=neg), 1) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(max(data, key=f),
sorted(reversed(data), key=f)[-1])
def test_map(self):
self.assertEqual(list(map(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
self.assertEqual(list(map(tupleize, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(map(tupleize, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,map(tupleize, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(map(operator.pow, [])), [])
self.assertRaises(TypeError, map)
self.assertRaises(TypeError, list, map(None, range(3), range(3)))
self.assertRaises(TypeError, map, operator.neg)
self.assertRaises(TypeError, next, map(10, range(5)))
self.assertRaises(ValueError, next, map(errfunc, [4], [5]))
self.assertRaises(TypeError, next, map(onearg, [4], [5]))
# check copy, deepcopy, pickle
ans = [('a',0),('b',1),('c',2)]
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.copy(c)), ans)
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.deepcopy(c)), ans)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
c = map(tupleize, 'abc', count())
self.pickletest(proto, c)