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added doctests for compare_string and is_for_table (#1138)

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* added doctests for compare_string and is_for_table

>>>compare_string('0010','0110')
       '0_10'
>>> is_for_table('__1','011',2)
	True
The above doctests were added

* Update quine_mc_cluskey.py

* Update quine_mc_cluskey.py

* Update quine_mc_cluskey.py
This commit is contained in:
pathak-deep15 2019-08-22 22:25:41 +05:30 committed by John Law
parent 2304e31994
commit 47cb394b5c
1 changed files with 33 additions and 15 deletions
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48
boolean_algebra/quine_mc_cluskey.py
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@ -1,19 +1,11 @@
"""
doctests
>>> decimal_to_binary(3,[1.5])
['0.00.01.5']
>>> check(['0.00.01.5'])
['0.00.01.5']
>>> prime_implicant_chart(['0.00.01.5'],['0.00.01.5'])
[[1]]
>>> selection([[1]],['0.00.01.5'])
['0.00.01.5']
"""
def compare_string(string1, string2):
"""
>>> compare_string('0010','0110')
'0_10'
>>> compare_string('0110','1101')
-1
"""
l1 = list(string1); l2 = list(string2)
count = 0
for i in range(len(l1)):
@ -26,6 +18,10 @@ def compare_string(string1, string2):
return("".join(l1))
def check(binary):
"""
>>> check(['0.00.01.5'])
['0.00.01.5']
"""
pi = []
while 1:
check1 = ['$']*len(binary)
@ -45,6 +41,10 @@ def check(binary):
binary = list(set(temp))
def decimal_to_binary(no_of_variable, minterms):
"""
>>> decimal_to_binary(3,[1.5])
['0.00.01.5']
"""
temp = []
s = ''
for m in minterms:
@ -56,6 +56,13 @@ def decimal_to_binary(no_of_variable, minterms):
return temp
def is_for_table(string1, string2, count):
"""
>>> is_for_table('__1','011',2)
True
>>> is_for_table('01_','001',1)
False
"""
l1 = list(string1);l2=list(string2)
count_n = 0
for i in range(len(l1)):
@ -67,6 +74,13 @@ def is_for_table(string1, string2, count):
return False
def selection(chart, prime_implicants):
"""
>>> selection([[1]],['0.00.01.5'])
['0.00.01.5']
>>> selection([[1]],['0.00.01.5'])
['0.00.01.5']
"""
temp = []
select = [0]*len(chart)
for i in range(len(chart[0])):
@ -104,6 +118,10 @@ def selection(chart, prime_implicants):
chart[j][i] = 0
def prime_implicant_chart(prime_implicants, binary):
"""
>>> prime_implicant_chart(['0.00.01.5'],['0.00.01.5'])
[[1]]
"""
chart = [[0 for x in range(len(binary))] for x in range(len(prime_implicants))]
for i in range(len(prime_implicants)):
count = prime_implicants[i].count('_')