谢谢！答案正确，写了Matlab code验证。

code 虽然有点笨，但算出了结果。

*********************************************

 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% example
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

I_NN = 0;
I_no = 0;

I_tag1 = 1;
I_tag2 = 1;

for n1 = 0:1
    n(1) = n1;
  for n2 = 0:1
      n(2) = n2;
    for n3 = 0:1
        n(3) = n3;
      for n4 = 0:1
          n(4) = n4;
        for n5 = 0:1
            n(5) = n5;
          for n6 = 0:1
              n(6) = n6;
            for n7 = 0:1
                n(7) = n7;
              for n8 = 0:1
                  n(8) = n8;
                for n9 = 0:1
                    n(9) = n9;
                  for n10 = 0:1
                      n(10) = n10;
%   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
                    I_tag1 = 1;
                    I_tag2 = 1;
                  I_NN = I_NN + 1;
                 
                  for j = 1:9
                    if n(j)*n(j+1) == 1
                       I_tag1 =0;
                    end  
                  end
                 
                  for j = 1 : 7
                    temp = n(j)+n(j+1)+n(j+2)+n(j+3);
                    if temp ==0
                       I_tag2 = 0;
                    end
                  end 
                 
                  I_tag = I_tag1*I_tag2;
                  
                  if (I_tag == 1)
                    I_no = I_no + 1;
                    I_record(I_no,[1:4]) = [I_NN I_tag I_tag1 I_tag2 ];
                    for j = 1:10
                      I_record(I_no,j+4) = n(j);
                    end
                  end
                 
                 
                 
%   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
                  end
                end
              end
            end
          end
        end
      end
    end
  end
end

save zz_out_A.dat I_record  -ASCII -TABS  

********************************************

NO	tag	tag1	tag2	一	二	三	四	五	六	七	八	九	十
69	1	1	1	0	0	0	1	0	0	0	1	0	0
70	1	1	1	0	0	0	1	0	0	0	1	0	1
73	1	1	1	0	0	0	1	0	0	1	0	0	0
74	1	1	1	0	0	0	1	0	0	1	0	0	1
75	1	1	1	0	0	0	1	0	0	1	0	1	0
82	1	1	1	0	0	0	1	0	1	0	0	0	1
83	1	1	1	0	0	0	1	0	1	0	0	1	0
85	1	1	1	0	0	0	1	0	1	0	1	0	0
86	1	1	1	0	0	0	1	0	1	0	1	0	1
137	1	1	1	0	0	1	0	0	0	1	0	0	0
138	1	1	1	0	0	1	0	0	0	1	0	0	1
139	1	1	1	0	0	1	0	0	0	1	0	1	0
146	1	1	1	0	0	1	0	0	1	0	0	0	1
147	1	1	1	0	0	1	0	0	1	0	0	1	0
149	1	1	1	0	0	1	0	0	1	0	1	0	0
150	1	1	1	0	0	1	0	0	1	0	1	0	1
163	1	1	1	0	0	1	0	1	0	0	0	1	0
165	1	1	1	0	0	1	0	1	0	0	1	0	0
166	1	1	1	0	0	1	0	1	0	0	1	0	1
169	1	1	1	0	0	1	0	1	0	1	0	0	0
170	1	1	1	0	0	1	0	1	0	1	0	0	1
171	1	1	1	0	0	1	0	1	0	1	0	1	0
274	1	1	1	0	1	0	0	0	1	0	0	0	1
275	1	1	1	0	1	0	0	0	1	0	0	1	0
277	1	1	1	0	1	0	0	0	1	0	1	0	0
278	1	1	1	0	1	0	0	0	1	0	1	0	1
291	1	1	1	0	1	0	0	1	0	0	0	1	0
293	1	1	1	0	1	0	0	1	0	0	1	0	0
294	1	1	1	0	1	0	0	1	0	0	1	0	1
297	1	1	1	0	1	0	0	1	0	1	0	0	0
298	1	1	1	0	1	0	0	1	0	1	0	0	1
299	1	1	1	0	1	0	0	1	0	1	0	1	0
325	1	1	1	0	1	0	1	0	0	0	1	0	0
326	1	1	1	0	1	0	1	0	0	0	1	0	1
329	1	1	1	0	1	0	1	0	0	1	0	0	0
330	1	1	1	0	1	0	1	0	0	1	0	0	1
331	1	1	1	0	1	0	1	0	0	1	0	1	0
338	1	1	1	0	1	0	1	0	1	0	0	0	1
339	1	1	1	0	1	0	1	0	1	0	0	1	0
341	1	1	1	0	1	0	1	0	1	0	1	0	0
342	1	1	1	0	1	0	1	0	1	0	1	0	1
547	1	1	1	1	0	0	0	1	0	0	0	1	0
549	1	1	1	1	0	0	0	1	0	0	1	0	0
550	1	1	1	1	0	0	0	1	0	0	1	0	1
553	1	1	1	1	0	0	0	1	0	1	0	0	0
554	1	1	1	1	0	0	0	1	0	1	0	0	1
555	1	1	1	1	0	0	0	1	0	1	0	1	0
581	1	1	1	1	0	0	1	0	0	0	1	0	0
582	1	1	1	1	0	0	1	0	0	0	1	0	1
585	1	1	1	1	0	0	1	0	0	1	0	0	0
586	1	1	1	1	0	0	1	0	0	1	0	0	1
587	1	1	1	1	0	0	1	0	0	1	0	1	0
594	1	1	1	1	0	0	1	0	1	0	0	0	1
595	1	1	1	1	0	0	1	0	1	0	0	1	0
597	1	1	1	1	0	0	1	0	1	0	1	0	0
598	1	1	1	1	0	0	1	0	1	0	1	0	1
649	1	1	1	1	0	1	0	0	0	1	0	0	0
650	1	1	1	1	0	1	0	0	0	1	0	0	1
651	1	1	1	1	0	1	0	0	0	1	0	1	0
658	1	1	1	1	0	1	0	0	1	0	0	0	1
659	1	1	1	1	0	1	0	0	1	0	0	1	0
661	1	1	1	1	0	1	0	0	1	0	1	0	0
662	1	1	1	1	0	1	0	0	1	0	1	0	1
675	1	1	1	1	0	1	0	1	0	0	0	1	0
677	1	1	1	1	0	1	0	1	0	0	1	0	0
678	1	1	1	1	0	1	0	1	0	0	1	0	1
681	1	1	1	1	0	1	0	1	0	1	0	0	0
682	1	1	1	1	0	1	0	1	0	1	0	0	1
683	1	1	1	1	0	1	0	1	0	1	0	1	0