Natural merge: mergesort that uses already sorted subarrays












2














The code bellow is my implementation for the natural merge exercise in Robert Sedgwick's Algorithms book:




Write a version of bottom-up mergesort that takes advantage of order
in the array by proceeding as follows each time it needs to find two
arrays to merge: find a sorted subarray (by incrementing a pointer
until finding an entry that is smaller than its predecessor in the
array), then find the next, then merge them.




def merge(a, lo, mi, hi):
aux_lo = deque(a[lo:mi])
aux_hi = deque(a[mi:hi])
# this takes more space than allowed

for i in range(lo, hi):
if len(aux_lo) and len(aux_hi):
a[i] = aux_lo.popleft() if aux_lo[0] < aux_hi[0] else aux_hi.popleft()
elif len(aux_lo) or len(aux_hi):
a[i] = aux_lo.popleft() if aux_lo else aux_hi.popleft()

def find_next_stop(a, start):
if start >= len(a)-1:
return start

stop = start + 1
if a[start] < a[stop]:
while(stop<len(a)-1 and a[stop] <= a[stop+1]):
stop += 1
else:
while(stop<len(a)-1 and a[stop] >= a[stop+1]):
stop += 1

_stop = stop
while(start<_stop):
a[_stop], a[start] = a[start], a[_stop]
start += 1
_stop -= 1
return stop

def natural_merge(a):
lo = hi = 0
while(True):
lo = hi
mi = find_next_stop(a, lo)
if lo == 0 and mi == len(a) - 1:
return
hi = find_next_stop(a, mi)
if mi == hi == len(a)-1:
lo = hi = 0
continue
merge(a, lo, mi, hi)


I take this anwser as a reference.










share|improve this question
























  • Add docstrings and typed arguments. Otherwise it's not bad
    – Reinderien
    43 mins ago










  • A pity the code presented is uncommented but for a cryptic this takes more space than allowed - extra constraint(s)? (There's more than one error in I take this anwser as a referenced..)
    – greybeard
    35 mins ago
















2














The code bellow is my implementation for the natural merge exercise in Robert Sedgwick's Algorithms book:




Write a version of bottom-up mergesort that takes advantage of order
in the array by proceeding as follows each time it needs to find two
arrays to merge: find a sorted subarray (by incrementing a pointer
until finding an entry that is smaller than its predecessor in the
array), then find the next, then merge them.




def merge(a, lo, mi, hi):
aux_lo = deque(a[lo:mi])
aux_hi = deque(a[mi:hi])
# this takes more space than allowed

for i in range(lo, hi):
if len(aux_lo) and len(aux_hi):
a[i] = aux_lo.popleft() if aux_lo[0] < aux_hi[0] else aux_hi.popleft()
elif len(aux_lo) or len(aux_hi):
a[i] = aux_lo.popleft() if aux_lo else aux_hi.popleft()

def find_next_stop(a, start):
if start >= len(a)-1:
return start

stop = start + 1
if a[start] < a[stop]:
while(stop<len(a)-1 and a[stop] <= a[stop+1]):
stop += 1
else:
while(stop<len(a)-1 and a[stop] >= a[stop+1]):
stop += 1

_stop = stop
while(start<_stop):
a[_stop], a[start] = a[start], a[_stop]
start += 1
_stop -= 1
return stop

def natural_merge(a):
lo = hi = 0
while(True):
lo = hi
mi = find_next_stop(a, lo)
if lo == 0 and mi == len(a) - 1:
return
hi = find_next_stop(a, mi)
if mi == hi == len(a)-1:
lo = hi = 0
continue
merge(a, lo, mi, hi)


I take this anwser as a reference.










share|improve this question
























  • Add docstrings and typed arguments. Otherwise it's not bad
    – Reinderien
    43 mins ago










  • A pity the code presented is uncommented but for a cryptic this takes more space than allowed - extra constraint(s)? (There's more than one error in I take this anwser as a referenced..)
    – greybeard
    35 mins ago














2












2








2







The code bellow is my implementation for the natural merge exercise in Robert Sedgwick's Algorithms book:




Write a version of bottom-up mergesort that takes advantage of order
in the array by proceeding as follows each time it needs to find two
arrays to merge: find a sorted subarray (by incrementing a pointer
until finding an entry that is smaller than its predecessor in the
array), then find the next, then merge them.




def merge(a, lo, mi, hi):
aux_lo = deque(a[lo:mi])
aux_hi = deque(a[mi:hi])
# this takes more space than allowed

for i in range(lo, hi):
if len(aux_lo) and len(aux_hi):
a[i] = aux_lo.popleft() if aux_lo[0] < aux_hi[0] else aux_hi.popleft()
elif len(aux_lo) or len(aux_hi):
a[i] = aux_lo.popleft() if aux_lo else aux_hi.popleft()

def find_next_stop(a, start):
if start >= len(a)-1:
return start

stop = start + 1
if a[start] < a[stop]:
while(stop<len(a)-1 and a[stop] <= a[stop+1]):
stop += 1
else:
while(stop<len(a)-1 and a[stop] >= a[stop+1]):
stop += 1

_stop = stop
while(start<_stop):
a[_stop], a[start] = a[start], a[_stop]
start += 1
_stop -= 1
return stop

def natural_merge(a):
lo = hi = 0
while(True):
lo = hi
mi = find_next_stop(a, lo)
if lo == 0 and mi == len(a) - 1:
return
hi = find_next_stop(a, mi)
if mi == hi == len(a)-1:
lo = hi = 0
continue
merge(a, lo, mi, hi)


I take this anwser as a reference.










share|improve this question















The code bellow is my implementation for the natural merge exercise in Robert Sedgwick's Algorithms book:




Write a version of bottom-up mergesort that takes advantage of order
in the array by proceeding as follows each time it needs to find two
arrays to merge: find a sorted subarray (by incrementing a pointer
until finding an entry that is smaller than its predecessor in the
array), then find the next, then merge them.




def merge(a, lo, mi, hi):
aux_lo = deque(a[lo:mi])
aux_hi = deque(a[mi:hi])
# this takes more space than allowed

for i in range(lo, hi):
if len(aux_lo) and len(aux_hi):
a[i] = aux_lo.popleft() if aux_lo[0] < aux_hi[0] else aux_hi.popleft()
elif len(aux_lo) or len(aux_hi):
a[i] = aux_lo.popleft() if aux_lo else aux_hi.popleft()

def find_next_stop(a, start):
if start >= len(a)-1:
return start

stop = start + 1
if a[start] < a[stop]:
while(stop<len(a)-1 and a[stop] <= a[stop+1]):
stop += 1
else:
while(stop<len(a)-1 and a[stop] >= a[stop+1]):
stop += 1

_stop = stop
while(start<_stop):
a[_stop], a[start] = a[start], a[_stop]
start += 1
_stop -= 1
return stop

def natural_merge(a):
lo = hi = 0
while(True):
lo = hi
mi = find_next_stop(a, lo)
if lo == 0 and mi == len(a) - 1:
return
hi = find_next_stop(a, mi)
if mi == hi == len(a)-1:
lo = hi = 0
continue
merge(a, lo, mi, hi)


I take this anwser as a reference.







python algorithm python-3.x sorting mergesort






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edited 4 mins ago









200_success

128k15150412




128k15150412










asked 52 mins ago









lerner

1615




1615












  • Add docstrings and typed arguments. Otherwise it's not bad
    – Reinderien
    43 mins ago










  • A pity the code presented is uncommented but for a cryptic this takes more space than allowed - extra constraint(s)? (There's more than one error in I take this anwser as a referenced..)
    – greybeard
    35 mins ago


















  • Add docstrings and typed arguments. Otherwise it's not bad
    – Reinderien
    43 mins ago










  • A pity the code presented is uncommented but for a cryptic this takes more space than allowed - extra constraint(s)? (There's more than one error in I take this anwser as a referenced..)
    – greybeard
    35 mins ago
















Add docstrings and typed arguments. Otherwise it's not bad
– Reinderien
43 mins ago




Add docstrings and typed arguments. Otherwise it's not bad
– Reinderien
43 mins ago












A pity the code presented is uncommented but for a cryptic this takes more space than allowed - extra constraint(s)? (There's more than one error in I take this anwser as a referenced..)
– greybeard
35 mins ago




A pity the code presented is uncommented but for a cryptic this takes more space than allowed - extra constraint(s)? (There's more than one error in I take this anwser as a referenced..)
– greybeard
35 mins ago















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