iterative binary search python
def binary_search(a, key):
low = 0
high = len(a) - 1
while low < high:
mid = (low + high) // 2
if key == a[mid]:
return True
elif key < mid:
high = mid - 1
else:
low = mid + 1
return False
iterative binary search python
def binary_search(a, key):
low = 0
high = len(a) - 1
while low < high:
mid = (low + high) // 2
if key == a[mid]:
return True
elif key < mid:
high = mid - 1
else:
low = mid + 1
return False
python binary search
def binary_search(arr, item):
first = 0
last = len(arr) - 1
while(first <= last):
mid = (first + last) // 2
if arr[mid] == item :
return True
elif item < arr[mid]:
last = mid - 1
else:
first = mid + 1
return False
binary search python
# This is real binary search
# this algorithm works very good because it is recursive
def binarySearch(arr, min, max, x):
if max >= min:
i = int(min + (max - min) / 2) # average
if arr[i] == x:
return i
elif arr[i] < x:
return binarySearch(arr, i + 1, max, x)
else:
return binarySearch(arr, min, i - 1, x)
binary search python
#binary search python
def binaryy(ar, ele):
low = 0
high = len(ar)-1
if ele not in ar:
return "Not Found"
while low <= high:
mid = (low + high) // 2
if ar[mid] < ele:
low = mid + 1
elif ar[mid] > ele:
high = mid - 1
else:
return mid
ar = [10, 20, 30, 40, 50]
ele = 55
print(binaryy(ar, ele))
python binary search program
#grepper
def binary_search(item_list,item):
first = 0
last = len(item_list)-1
found = False
while( first<=last and not found):
mid = (first + last)//2
if item_list[mid] == item :
found = True
else:
if item < item_list[mid]:
last = mid - 1
else:
first = mid + 1
return found
binary search python
def binary_search(records:list, search_target, key=None, index=None, return_multimatch=False):
"""Returns dictionary of {index, duplicates, iter(sorted_records)}.
Searches [foo,grok,spam,...], {x,y,z,...}, [{},{},{},...], or [(),(),(),...]
l=[10,2,5,8,9,3,6,7,4,2,5,1,7,4,9,2,9]
>>> binary_search(records=l, search_target=9, return_multimatch=True, key=None, index=None)
{'index': 14,
'multimatch_indicies': [13, 14, 15],
'records': [1, 2, 2, 2, 3, 4, 4, 5, 5, 6, 7, 7, 8, 9, 9, 9, 10]}
** 'index' represents first match, not necessarily first in sequence.
lt=[('hello',43770,'world',17701570),('bye',843,'world',17701570)]
rt=binary_search(records=lt, search_target=17701570, key=None, index=3)
target_tup = list(rt['records'])[rt['index']]
"""
lower_bound = 0
upper_bound = len(records)-1
"""List MUST be sorted in ascending order, due to the conditional inequalities & the arithmitic; else use linear search."""
# sort_records = f'records.sort(key=lambda record: record["{key}"],reverse=False)' # alters OG list
sort_records = f'sorted(records,key=lambda record: record["{key}"],reverse=False)' # doesn't alter list
reference_target = f'records[mid_index]["{key}"]'
if (key==None and index==None): # [1,2,3,...] or {x,y,z,...}
sort_records = sort_records.replace(f'key=lambda record: record["{key}"],','')
reference_target = reference_target.replace(f'["{key}"]','')
elif (key!=None and index==None): # [{},{},{},...]
pass # base case
elif (key==None and index!=None): # [(),(),(),...]
sort_records = sort_records.replace(f'["{key}"],',f'[{index}],')
reference_target = reference_target.replace(f'["{key}"]',f'[{index}]')
elif (key!=None and index!=None):
raise Exception("Both 'key' & 'index' should not have a value simutaneously (other than 'None').")
# eval(sort_records) # alters Original list
records = eval(sort_records) # doesn't alter list
while lower_bound <= upper_bound:
mid_index = (lower_bound+upper_bound) // 2
if search_target == eval(reference_target): # Return records to remove sorting ambiguity; it has been sorted in ascending order.
if return_multimatch: # Returns a list of indicies that matches the search_target (i.e. ID duplicates).
i = mid_index
h = mid_index-1
multimatch_indicies=[]
if (key==None and index!=None): # [(),(),(),...]
try:
while search_target==records[i][index]: # run forward
multimatch_indicies.append(i)
i+=1
except IndexError:
pass
try:
while search_target==records[h][index] and h>=0: # run backward
multimatch_indicies.append(h)
h-=1
except IndexError:
pass
return {'index':mid_index, 'multimatch_indicies':sorted(multimatch_indicies), 'records':iter(records)}
elif (key==None and index==None): # [1,2,3,...] or {x,y,z,...}
try:
while search_target==records[i]: # run forward
multimatch_indicies.append(i)
i+=1
except IndexError:
pass
try:
while search_target==records[h] and h>=0: # run backward
multimatch_indicies.append(h)
h-=1
except IndexError:
pass
return {'index':mid_index, 'multimatch_indicies':sorted(multimatch_indicies), 'records':iter(records)}
elif (key!=None and index==None): # [{},{},{},...]
try:
while search_target==records[i][key]: # run forward
multimatch_indicies.append(i)
i+=1
except IndexError:
pass
try:
while search_target==records[h][key] and h>=0: # run backward
multimatch_indicies.append(h)
h-=1
except IndexError:
pass
return {'index':mid_index, 'multimatch_indicies':sorted(multimatch_indicies), 'records':iter(records)}
# return True
return {'index':mid_index, 'records':iter(records)}
elif search_target < eval(reference_target):
upper_bound = mid_index - 1
else:
lower_bound = mid_index + 1
return False
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