def test_dict_iteration():
d = {'a': 1, 'b': 2, 'c': 3}
assert not isinstance(iteritems(d), list)
assert not isinstance(iterkeys(d), list)
assert not isinstance(itervalues(d), list)
assert set(iteritems(d)) == set(d.items())
assert set(iterkeys(d)) == set(d.keys())
assert set(itervalues(d)) == set(d.values())
def test_dict_iteration():
d = {'a': 1, 'b': 2, 'c': 3}
assert not isinstance(iteritems(d), list)
assert not isinstance(iterkeys(d), list)
assert not isinstance(itervalues(d), list)
assert set(iteritems(d)) == set(d.items())
assert set(iterkeys(d)) == set(d.keys())
assert set(itervalues(d)) == set(d.values())
def keymap(func, d):
""" Apply function to keys of dictionary
>>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
>>> keymap(str.lower, bills) # doctest: +SKIP
{'alice': [20, 15, 30], 'bob': [10, 35]}
See Also:
valmap
"""
return dict(zip(map(func, iterkeys(d)), itervalues(d)))
def valmap(func, d):
""" Apply function to values of dictionary
>>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
>>> valmap(sum, bills) # doctest: +SKIP
{'Alice': 65, 'Bob': 45}
See Also:
keymap
"""
return dict(zip(iterkeys(d), map(func, itervalues(d))))
def keymap(func, d):
""" Apply function to keys of dictionary
>>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
>>> keymap(str.lower, bills) # doctest: +SKIP
{'alice': [20, 15, 30], 'bob': [10, 35]}
See Also:
valmap
"""
return dict(zip(map(func, iterkeys(d)), itervalues(d)))
def valmap(func, d):
""" Apply function to values of dictionary
>>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
>>> valmap(sum, bills) # doctest: +SKIP
{'Alice': 65, 'Bob': 45}
See Also:
keymap
"""
return dict(zip(iterkeys(d), map(func, itervalues(d))))
def pkeymap(f, d, factory=dict, threads=None, timeout=None):
"""
Apply `f` to each key of dictionary `d` and return a new dictionary.
Blocks until entire dictionary can be realized.
Takes a `factory` to allow a return type that implements `collections.MutableMapping` other than `dict`.
"""
rv = factory()
rv.update(zip(pmap(f, iterkeys(d), threads, timeout), itervalues(d)))
return rv
def keymap(func, d, factory=dict):
""" Apply function to keys of dictionary
>>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
>>> keymap(str.lower, bills) # doctest: +SKIP
{'alice': [20, 15, 30], 'bob': [10, 35]}
See Also:
valmap
itemmap
"""
rv = factory()
rv.update(zip(map(func, iterkeys(d)), itervalues(d)))
return rv
def valmap(func, d, factory=dict):
""" Apply function to values of dictionary
>>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
>>> valmap(sum, bills) # doctest: +SKIP
{'Alice': 65, 'Bob': 45}
See Also:
keymap
itemmap
"""
rv = factory()
rv.update(zip(iterkeys(d), map(func, itervalues(d))))
return rv
def keymap(func, d, factory=dict):
""" Apply function to keys of dictionary
>>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
>>> keymap(str.lower, bills) # doctest: +SKIP
{'alice': [20, 15, 30], 'bob': [10, 35]}
See Also:
valmap
itemmap
"""
rv = factory()
rv.update(zip(map(func, iterkeys(d)), itervalues(d)))
return rv
def valmap(func, d, factory=dict):
""" Apply function to values of dictionary
>>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
>>> valmap(sum, bills) # doctest: +SKIP
{'Alice': 65, 'Bob': 45}
See Also:
keymap
itemmap
"""
rv = factory()
rv.update(zip(iterkeys(d), map(func, itervalues(d))))
return rv
def valid_dict(d, keys=None):
"""
检查是否字典中含有值为None的键(给定键的名称则检查给定的键，如果没有，则检查全部键)
- 如果没有值为None的键，则返回True，反之False
- 如果keys中的键不存在于d中，也返回False
"""
if keys is None:
d_ = d
else:
d_ = itemfilter(lambda item: item[0] in keys, d)
if len(d_) != len(keys):
return False
values = list(itervalues(d_))
return False if None in values else True