ytsm/app/YtManagerApp/utils/algorithms.py

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"""Bisection algorithms.
These algorithms are taken from Python's standard library, and modified so they take a 'key' parameter (similar to how
`sorted` works).
"""
def bisect_right(a, x, lo=0, hi=None, key=None):
"""Return the index where to insert item x in list a, assuming a is sorted.
The return value i is such that all e in a[:i] have e <= x, and all e in
a[i:] have e > x. So if x already appears in the list, a.insert(x) will
insert just after the rightmost x already there.
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to be searched.
"""
if key is None:
key = lambda x: x
if lo < 0:
raise ValueError('lo must be non-negative')
if hi is None:
hi = len(a)
while lo < hi:
mid = (lo+hi)//2
if key(x) < key(a[mid]): hi = mid
else: lo = mid+1
return lo
def bisect_left(a, x, lo=0, hi=None, key=None):
"""Return the index where to insert item x in list a, assuming a is sorted.
The return value i is such that all e in a[:i] have e < x, and all e in
a[i:] have e >= x. So if x already appears in the list, a.insert(x) will
insert just before the leftmost x already there.
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to be searched.
"""
if key is None:
key = lambda x: x
if lo < 0:
raise ValueError('lo must be non-negative')
if hi is None:
hi = len(a)
while lo < hi:
mid = (lo+hi)//2
if key(a[mid]) < key(x): lo = mid+1
else: hi = mid
return lo
# Create aliases
bisect = bisect_right
2020-04-10 21:30:24 +00:00
def group_by(data, key):
"""
Groups the given data into a dictionary matching the structure { key : [values] }
:param data: Iterable data to be grouped
:param key: Key used to group the data
:return: A dictionary containing the grouped data
"""
result = {}
for entry in data:
entry_key = key(entry)
if entry_key not in result:
result[entry_key] = [entry]
else:
result[entry_key].append(entry)
return result