For Binary seperation, which would be better:using list or divmod?









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I'm trying to divide the binary string from the end, by constant length:for example, '1001011000' by 3->['1','001','011','000'].
starting with the number 600,



def bin_divby(dec,leng):
n = 0
mid_res = ''
res=list()
for nums in bin(dec)[2:][::-1]:
n+=1
mid_res+=nums
if not n%leng:
res+=[mid_res[::-1]]
mid_res=''
if n%leng:
res+=[mid_res[::-1]]
return res[::-1]


(I'm not sure but code were kind of like this)
Using for loop with few variable would make it work, but I'm curious if using divmod would make it much faster. or would base conversion would be better? I thought using Binary form would be effective than re-calculating once more by divmod, but well as you see, I'm using much variable and functions as well. For repeating thousands of calculations, which would be better?










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    up vote
    2
    down vote

    favorite












    I'm trying to divide the binary string from the end, by constant length:for example, '1001011000' by 3->['1','001','011','000'].
    starting with the number 600,



    def bin_divby(dec,leng):
    n = 0
    mid_res = ''
    res=list()
    for nums in bin(dec)[2:][::-1]:
    n+=1
    mid_res+=nums
    if not n%leng:
    res+=[mid_res[::-1]]
    mid_res=''
    if n%leng:
    res+=[mid_res[::-1]]
    return res[::-1]


    (I'm not sure but code were kind of like this)
    Using for loop with few variable would make it work, but I'm curious if using divmod would make it much faster. or would base conversion would be better? I thought using Binary form would be effective than re-calculating once more by divmod, but well as you see, I'm using much variable and functions as well. For repeating thousands of calculations, which would be better?










    share|improve this question

























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      I'm trying to divide the binary string from the end, by constant length:for example, '1001011000' by 3->['1','001','011','000'].
      starting with the number 600,



      def bin_divby(dec,leng):
      n = 0
      mid_res = ''
      res=list()
      for nums in bin(dec)[2:][::-1]:
      n+=1
      mid_res+=nums
      if not n%leng:
      res+=[mid_res[::-1]]
      mid_res=''
      if n%leng:
      res+=[mid_res[::-1]]
      return res[::-1]


      (I'm not sure but code were kind of like this)
      Using for loop with few variable would make it work, but I'm curious if using divmod would make it much faster. or would base conversion would be better? I thought using Binary form would be effective than re-calculating once more by divmod, but well as you see, I'm using much variable and functions as well. For repeating thousands of calculations, which would be better?










      share|improve this question















      I'm trying to divide the binary string from the end, by constant length:for example, '1001011000' by 3->['1','001','011','000'].
      starting with the number 600,



      def bin_divby(dec,leng):
      n = 0
      mid_res = ''
      res=list()
      for nums in bin(dec)[2:][::-1]:
      n+=1
      mid_res+=nums
      if not n%leng:
      res+=[mid_res[::-1]]
      mid_res=''
      if n%leng:
      res+=[mid_res[::-1]]
      return res[::-1]


      (I'm not sure but code were kind of like this)
      Using for loop with few variable would make it work, but I'm curious if using divmod would make it much faster. or would base conversion would be better? I thought using Binary form would be effective than re-calculating once more by divmod, but well as you see, I'm using much variable and functions as well. For repeating thousands of calculations, which would be better?







      python binary base






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      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 11 at 20:13









      Willem Van Onsem

      142k16134225




      142k16134225










      asked Nov 11 at 20:12









      ILoveG11

      325




      325






















          1 Answer
          1






          active

          oldest

          votes

















          up vote
          3
          down vote



          accepted










          We can use list comprehension for this:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          return [bn[i:i+leng][::-1] for i in range(0, len(bn), leng)][::-1]


          we can slightly improve efficiency by reversing the range(..) object:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          n = len(bn) - 1
          return [bn[i:i+leng][::-1] for i in range(n - n%leng, -leng, -leng)]


          So here we first obtain the binary string in reverse, and then we iterate over that string, and each time slice the string. The end result is reversed.



          This produces the expected:



          >>> bin_divby(0b1001011000, 1)
          ['1', '0', '0', '1', '0', '1', '1', '0', '0', '0']
          >>> bin_divby(0b1001011000, 2)
          ['10', '01', '01', '10', '00']
          >>> bin_divby(0b1001011000, 3)
          ['1', '001', '011', '000']
          >>> bin_divby(0b1001011000, 4)
          ['10', '0101', '1000']
          >>> bin_divby(0b1001011000, 5)
          ['10010', '11000']
          >>> bin_divby(0b1001011000, 6)
          ['1001', '011000']
          >>> bin_divby(0b1001011000, 7)
          ['100', '1011000']





          share|improve this answer






















          • It's being three times more faster than original! May I ask about 'struct' : would unpacking directly from it would be faster?
            – ILoveG11
            Nov 12 at 5:46










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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          3
          down vote



          accepted










          We can use list comprehension for this:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          return [bn[i:i+leng][::-1] for i in range(0, len(bn), leng)][::-1]


          we can slightly improve efficiency by reversing the range(..) object:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          n = len(bn) - 1
          return [bn[i:i+leng][::-1] for i in range(n - n%leng, -leng, -leng)]


          So here we first obtain the binary string in reverse, and then we iterate over that string, and each time slice the string. The end result is reversed.



          This produces the expected:



          >>> bin_divby(0b1001011000, 1)
          ['1', '0', '0', '1', '0', '1', '1', '0', '0', '0']
          >>> bin_divby(0b1001011000, 2)
          ['10', '01', '01', '10', '00']
          >>> bin_divby(0b1001011000, 3)
          ['1', '001', '011', '000']
          >>> bin_divby(0b1001011000, 4)
          ['10', '0101', '1000']
          >>> bin_divby(0b1001011000, 5)
          ['10010', '11000']
          >>> bin_divby(0b1001011000, 6)
          ['1001', '011000']
          >>> bin_divby(0b1001011000, 7)
          ['100', '1011000']





          share|improve this answer






















          • It's being three times more faster than original! May I ask about 'struct' : would unpacking directly from it would be faster?
            – ILoveG11
            Nov 12 at 5:46














          up vote
          3
          down vote



          accepted










          We can use list comprehension for this:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          return [bn[i:i+leng][::-1] for i in range(0, len(bn), leng)][::-1]


          we can slightly improve efficiency by reversing the range(..) object:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          n = len(bn) - 1
          return [bn[i:i+leng][::-1] for i in range(n - n%leng, -leng, -leng)]


          So here we first obtain the binary string in reverse, and then we iterate over that string, and each time slice the string. The end result is reversed.



          This produces the expected:



          >>> bin_divby(0b1001011000, 1)
          ['1', '0', '0', '1', '0', '1', '1', '0', '0', '0']
          >>> bin_divby(0b1001011000, 2)
          ['10', '01', '01', '10', '00']
          >>> bin_divby(0b1001011000, 3)
          ['1', '001', '011', '000']
          >>> bin_divby(0b1001011000, 4)
          ['10', '0101', '1000']
          >>> bin_divby(0b1001011000, 5)
          ['10010', '11000']
          >>> bin_divby(0b1001011000, 6)
          ['1001', '011000']
          >>> bin_divby(0b1001011000, 7)
          ['100', '1011000']





          share|improve this answer






















          • It's being three times more faster than original! May I ask about 'struct' : would unpacking directly from it would be faster?
            – ILoveG11
            Nov 12 at 5:46












          up vote
          3
          down vote



          accepted







          up vote
          3
          down vote



          accepted






          We can use list comprehension for this:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          return [bn[i:i+leng][::-1] for i in range(0, len(bn), leng)][::-1]


          we can slightly improve efficiency by reversing the range(..) object:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          n = len(bn) - 1
          return [bn[i:i+leng][::-1] for i in range(n - n%leng, -leng, -leng)]


          So here we first obtain the binary string in reverse, and then we iterate over that string, and each time slice the string. The end result is reversed.



          This produces the expected:



          >>> bin_divby(0b1001011000, 1)
          ['1', '0', '0', '1', '0', '1', '1', '0', '0', '0']
          >>> bin_divby(0b1001011000, 2)
          ['10', '01', '01', '10', '00']
          >>> bin_divby(0b1001011000, 3)
          ['1', '001', '011', '000']
          >>> bin_divby(0b1001011000, 4)
          ['10', '0101', '1000']
          >>> bin_divby(0b1001011000, 5)
          ['10010', '11000']
          >>> bin_divby(0b1001011000, 6)
          ['1001', '011000']
          >>> bin_divby(0b1001011000, 7)
          ['100', '1011000']





          share|improve this answer














          We can use list comprehension for this:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          return [bn[i:i+leng][::-1] for i in range(0, len(bn), leng)][::-1]


          we can slightly improve efficiency by reversing the range(..) object:



          def bin_divby(dec, leng):
          bn = bin(dec)[:1:-1]
          n = len(bn) - 1
          return [bn[i:i+leng][::-1] for i in range(n - n%leng, -leng, -leng)]


          So here we first obtain the binary string in reverse, and then we iterate over that string, and each time slice the string. The end result is reversed.



          This produces the expected:



          >>> bin_divby(0b1001011000, 1)
          ['1', '0', '0', '1', '0', '1', '1', '0', '0', '0']
          >>> bin_divby(0b1001011000, 2)
          ['10', '01', '01', '10', '00']
          >>> bin_divby(0b1001011000, 3)
          ['1', '001', '011', '000']
          >>> bin_divby(0b1001011000, 4)
          ['10', '0101', '1000']
          >>> bin_divby(0b1001011000, 5)
          ['10010', '11000']
          >>> bin_divby(0b1001011000, 6)
          ['1001', '011000']
          >>> bin_divby(0b1001011000, 7)
          ['100', '1011000']






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 11 at 20:31

























          answered Nov 11 at 20:22









          Willem Van Onsem

          142k16134225




          142k16134225











          • It's being three times more faster than original! May I ask about 'struct' : would unpacking directly from it would be faster?
            – ILoveG11
            Nov 12 at 5:46
















          • It's being three times more faster than original! May I ask about 'struct' : would unpacking directly from it would be faster?
            – ILoveG11
            Nov 12 at 5:46















          It's being three times more faster than original! May I ask about 'struct' : would unpacking directly from it would be faster?
          – ILoveG11
          Nov 12 at 5:46




          It's being three times more faster than original! May I ask about 'struct' : would unpacking directly from it would be faster?
          – ILoveG11
          Nov 12 at 5:46

















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