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OrderedSequence.py
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OrderedSequence.py
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"""Utility functions for ordered seqeunces
When you are dealing with sequences which you know are ordered,
then set operations are linear instead of square in the length of the
sequences. This makes an ordered sequence a practical representation of a set.
@@ Now python has sets, these should be used where the ordering is not otherwise
necessary. @@ check
$Id$
"""
def merge(a,b):
"""Merge sorted sequences
The fact that the sequences are sorted makes this faster"""
i = 0
j = 0
m = len(a)
n = len(b)
result = []
while 1:
if i==m: # No more of a, return rest of b
return result + b[j:]
if j==n:
return result + a[i:]
if a[i] < b[j]:
result.append(a[i])
i = i + 1
elif a[i] > b[j]:
result.append(b[j])
j = j + 1
else: # a[i]=b[j]
result.append(a[i])
i = i + 1
j = j + 1
def intersection(a,b):
"""Find intersection of sorted sequences
The fact that the sequences are sorted makes this faster"""
i = 0
j = 0
m = len(a)
n = len(b)
# progress(" &&& Intersection of %s and %s" %(a,b))
result = []
while 1:
if i==m or j==n: # No more of one, return what we have
return result
if a[i] < b[j]:
i = i + 1
elif a[i] > b[j]:
j = j + 1
else: # a[i]=b[j]
result.append(a[i])
i = i + 1
j = j + 1
def minus(a,b):
"""Those in a but not in b for sorted sequences
The fact that the sequences are sorted makes this faster"""
i = 0
j = 0
m = len(a)
n = len(b)
result = []
# progress(" &&& minus of %s and %s" %(a,b))
while 1:
if j==n: # No more of b, return rest of a
return result + a[i:]
if i==m: # No more of a, some of b - error
raise ValueError("Cannot remove items" + `b[j:]`)
return result + b[j:]
if a[i] < b[j]:
result.append(a[i])
i = i + 1
elif a[i] > b[j]:
raise ValueError("Cannot remove item" + `b[j]`)
j = j + 1
else: # a[i]=b[j]
i = i + 1
j = j + 1
#______________________________________________ More utilities
def indentString(str):
""" Return a string indented by 4 spaces"""
s = " "
for ch in str:
s = s + ch
if ch == "\n": s = s + " "
if s.endswith(" "):
s = s[:-4]
return s