From f6a27c93f8124b054f8fff67e472746e6b1dbef2 Mon Sep 17 00:00:00 2001
From: WeileiZeng <240155787@qq.com>
Date: Sat, 11 Apr 2020 12:51:52 -0700
Subject: [PATCH] add flexible

---
 ...bp3-feedback5-cycle0-10000-schedule.gnudat |  26 +++++++-------
 ...p3-feedback5-num-data-1000-flexible.gnudat |  16 +++++++++
 ...-feedback5-num-data-1000-schedule-p.gnudat |  16 +++++++++
 ...p3-feedback5-num-data-1000-schedule.gnudat |  13 +++++++
 ...bp3-feedback5-num-data-200-schedule.gnudat |  13 +++++++
 gnuplot/toric_rate.gnu                        |  34 +++++++++++-------
 my_bp3.c                                      |  17 ++++-----
 my_bp3.out                                    | Bin 240832 -> 240984 bytes
 readme.md                                     |   3 +-
 9 files changed, 103 insertions(+), 35 deletions(-)
 create mode 100644 gnuplot/result/my-bp3-feedback5-num-data-1000-flexible.gnudat
 create mode 100644 gnuplot/result/my-bp3-feedback5-num-data-1000-schedule-p.gnudat
 create mode 100644 gnuplot/result/my-bp3-feedback5-num-data-1000-schedule.gnudat
 create mode 100644 gnuplot/result/my-bp3-feedback5-num-data-200-schedule.gnudat

diff --git a/gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat b/gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat
index 60cd104..43a7c67 100644
--- a/gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat
+++ b/gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat
@@ -1,19 +1,19 @@
 #header
 sizes: 13, 11, 9, 7, 5, 
  p, P_c converge rate, zero error vectors, weight one error, weight 2 error
-0.019953	0.995709	0.000000	0.000000	0.000000	0.019953	0.996677	0.000000	0.000000	0.000000	0.019953	0.997224	0.000000	0.000000	0.000000	0.019953	0.997392	0.000000	0.000000	0.000000	0.019953	0.998486	0.000000	0.000000	0.000000	
-0.015849	0.998337	0.000000	0.000000	0.000000	0.015849	0.998320	0.000000	0.000000	0.000000	0.015849	0.998695	0.000000	0.000000	0.000000	0.015849	0.998695	0.000000	0.000000	0.000000	0.015849	0.999160	0.000000	0.000000	0.000000	
-0.012589	0.999453	0.000000	0.000000	0.000000	0.012589	0.999271	0.000000	0.000000	0.000000	0.012589	0.999468	0.000000	0.000000	0.000000	0.012589	0.999438	0.000000	0.000000	0.000000	0.012589	0.999544	0.000000	0.000000	0.000000	
-0.010000	0.999819	0.000000	0.000000	0.000000	0.010000	0.999703	0.000000	0.000000	0.000000	0.010000	0.999690	0.000000	0.000000	0.000000	0.010000	0.999806	0.000000	0.000000	0.000000	0.010000	0.999819	0.000000	0.000000	0.000000	
-0.007943	0.999901	0.000000	0.000000	0.000000	0.007943	0.999890	0.000000	0.000000	0.000000	0.007943	0.999868	0.000000	0.000000	0.000000	0.007943	0.999912	0.000000	0.000000	0.000000	0.007943	0.999868	0.000000	0.000000	0.000000	
-0.006310	0.999925	0.000000	0.000000	0.000000	0.006310	0.999972	0.000000	0.000000	0.000000	0.006310	0.999991	0.000000	0.000000	0.000000	0.006310	0.999907	0.000000	0.000000	0.000000	0.006310	0.999963	0.000000	0.000000	0.000000	
-0.005012	0.999937	0.000000	0.000000	0.000000	0.005012	1.000000	0.000000	0.000000	0.000000	0.005012	0.999968	0.000000	0.000000	0.000000	0.005012	0.999976	0.000000	0.000000	0.000000	0.005012	0.999992	0.000000	0.000000	0.000000	
-0.003981	0.999993	0.000000	0.000000	0.000000	0.003981	0.999987	0.000000	0.000000	0.000000	0.003981	0.999987	0.000000	0.000000	0.000000	0.003981	0.999980	0.000000	0.000000	0.000000	0.003981	0.999980	0.000000	0.000000	0.000000	
-0.003162	1.000000	0.000000	0.000000	0.000000	0.003162	0.999989	0.000000	0.000000	0.000000	0.003162	1.000000	0.000000	0.000000	0.000000	0.003162	0.999989	0.000000	0.000000	0.000000	0.003162	1.000000	0.000000	0.000000	0.000000	
-0.002512	0.999995	0.000000	0.000000	0.000000	0.002512	0.999985	0.000000	0.000000	0.000000	0.002512	1.000000	0.000000	0.000000	0.000000	0.002512	1.000000	0.000000	0.000000	0.000000	0.002512	0.999995	0.000000	0.000000	0.000000	
-0.001995	1.000000	0.000000	0.000000	0.000000	0.001995	0.999996	0.000000	0.000000	0.000000	0.001995	1.000000	0.000000	0.000000	0.000000	0.001995	1.000000	0.000000	0.000000	0.000000	0.001995	1.000000	0.000000	0.000000	0.000000	
-0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	0.999996	0.000000	0.000000	0.000000	
-0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	0.999997	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	
+0.019953	0.995767	0.000000	0.000000	0.000000	0.019953	0.996800	0.000000	0.000000	0.000000	0.019953	0.997033	0.000000	0.000000	0.000000	0.019953	0.998000	0.000000	0.000000	0.000000	0.019953	0.998267	0.000000	0.000000	0.000000	
+0.015849	0.998393	0.000000	0.000000	0.000000	0.015849	0.998393	0.000000	0.000000	0.000000	0.015849	0.998922	0.000000	0.000000	0.000000	0.015849	0.998785	0.000000	0.000000	0.000000	0.015849	0.999118	0.000000	0.000000	0.000000	
+0.012589	0.999459	0.000000	0.000000	0.000000	0.012589	0.999459	0.000000	0.000000	0.000000	0.012589	0.999551	0.000000	0.000000	0.000000	0.012589	0.999470	0.000000	0.000000	0.000000	0.012589	0.999574	0.000000	0.000000	0.000000	
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+0.007943	0.999908	0.000000	0.000000	0.000000	0.007943	0.999897	0.000000	0.000000	0.000000	0.007943	0.999861	0.000000	0.000000	0.000000	0.007943	0.999897	0.000000	0.000000	0.000000	0.007943	0.999904	0.000000	0.000000	0.000000	
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+0.003981	0.999985	0.000000	0.000000	0.000000	0.003981	0.999980	0.000000	0.000000	0.000000	0.003981	0.999985	0.000000	0.000000	0.000000	0.003981	0.999989	0.000000	0.000000	0.000000	0.003981	0.999992	0.000000	0.000000	0.000000	
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+0.002512	0.999997	0.000000	0.000000	0.000000	0.002512	0.999996	0.000000	0.000000	0.000000	0.002512	0.999997	0.000000	0.000000	0.000000	0.002512	0.999996	0.000000	0.000000	0.000000	0.002512	0.999997	0.000000	0.000000	0.000000	
+0.001995	0.999998	0.000000	0.000000	0.000000	0.001995	0.999998	0.000000	0.000000	0.000000	0.001995	0.999998	0.000000	0.000000	0.000000	0.001995	0.999997	0.000000	0.000000	0.000000	0.001995	0.999999	0.000000	0.000000	0.000000	
+0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	0.999999	0.000000	0.000000	0.000000	0.001585	0.999999	0.000000	0.000000	0.000000	0.001585	1.000000	0.000000	0.000000	0.000000	0.001585	0.999999	0.000000	0.000000	0.000000	
+0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	0.999999	0.000000	0.000000	0.000000	0.001259	0.999999	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	0.001259	1.000000	0.000000	0.000000	0.000000	
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diff --git a/gnuplot/result/my-bp3-feedback5-num-data-1000-flexible.gnudat b/gnuplot/result/my-bp3-feedback5-num-data-1000-flexible.gnudat
new file mode 100644
index 0000000..7dabd10
--- /dev/null
+++ b/gnuplot/result/my-bp3-feedback5-num-data-1000-flexible.gnudat
@@ -0,0 +1,16 @@
+#header
+sizes: 13, 11, 9, 7, 5, 
+ p, P_c converge rate, zero error vectors, weight one error, weight 2 error
+0.251189	0.012589	0.999177	61978.000000	0.000000	0.251189	0.012589	0.999515	105123.000000	0.000000	0.251189	0.012589	0.999411	86568.000000	0.000000	0.251189	0.012589	0.999633	138944.000000	0.000000	0.251189	0.012589	0.999592	125061.000000	0.000000	
+0.199526	0.019231	52.000000	0.000000	0.000000	0.199526	0.072727	55.000000	0.000000	0.000000	0.199526	0.354430	79.000000	0.000000	0.000000	0.199526	0.474227	97.000000	0.000000	0.000000	0.199526	0.690909	165.000000	0.000000	0.000000	
+0.158489	0.055556	54.000000	0.000000	0.000000	0.158489	0.105263	57.000000	0.000000	0.000000	0.158489	0.271429	70.000000	0.000000	0.000000	0.158489	0.514286	105.000000	0.000000	0.000000	0.158489	0.732984	191.000000	0.000000	0.000000	
+0.125893	0.105263	57.000000	0.000000	0.000000	0.125893	0.190476	63.000000	0.000000	0.000000	0.125893	0.227273	66.000000	0.000000	0.000000	0.125893	0.556522	115.000000	0.000000	0.000000	0.125893	0.808271	266.000000	0.000000	0.000000	
+0.100000	0.215385	65.000000	0.000000	0.000000	0.100000	0.370370	81.000000	0.000000	0.000000	0.100000	0.532110	109.000000	0.000000	0.000000	0.100000	0.737113	194.000000	0.000000	0.000000	0.100000	0.860274	365.000000	0.000000	0.000000	
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diff --git a/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule-p.gnudat b/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule-p.gnudat
new file mode 100644
index 0000000..c0d1b4a
--- /dev/null
+++ b/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule-p.gnudat
@@ -0,0 +1,16 @@
+#header
+sizes: 13, 11, 9, 7, 5, 
+ p, P_c converge rate, zero error vectors, weight one error, weight 2 error
+0.251189	0.012589	0.999431	75507.000000	0.000000	0.251189	0.012589	0.999393	148259.000000	0.000000	0.251189	0.012589	0.999456	351317.000000	0.000000	0.251189	0.012589	0.999513	1000000.000000	0.000000	0.251189	0.012589	0.999559	1000000.000000	0.000000	
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diff --git a/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule.gnudat b/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule.gnudat
new file mode 100644
index 0000000..91d4d96
--- /dev/null
+++ b/gnuplot/result/my-bp3-feedback5-num-data-1000-schedule.gnudat
@@ -0,0 +1,13 @@
+#header
+sizes: 13, 11, 9, 7, 5, 
+ p, P_c converge rate, zero error vectors, weight one error, weight 2 error
+0.019953	0.996267	155366.000000	0.000000	0.000000	0.019953	0.996713	304520.000000	0.000000	0.000000	0.019953	0.997176	354431.000000	0.000000	0.000000	0.019953	0.997611	419053.000000	0.000000	0.000000	0.019953	0.998158	543505.000000	0.000000	0.000000	
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+0.012589	0.999317	279562.000000	0.000000	0.000000	0.012589	0.999390	636327.000000	0.000000	0.000000	0.012589	0.999429	1388069.000000	0.000000	0.000000	0.012589	0.999535	2152425.000000	0.000000	0.000000	0.012589	0.999567	2310564.000000	0.000000	0.000000	
+0.010000	0.999744	371473.000000	0.000000	0.000000	0.010000	0.999718	807270.000000	0.000000	0.000000	0.010000	0.999749	1894971.000000	0.000000	0.000000	0.010000	0.999775	4452860.000000	0.000000	0.000000	0.010000	0.999794	4861804.000000	0.000000	0.000000	
+0.007943	0.999890	428623.000000	0.000000	0.000000	0.007943	0.999875	957237.000000	0.000000	0.000000	0.007943	0.999873	2249543.000000	0.000000	0.000000	0.007943	0.999896	9535977.000000	0.000000	0.000000	0.007943	0.999898	9850873.000000	0.000000	0.000000	
+0.006310	0.999925	535675.000000	0.000000	0.000000	0.006310	0.999945	1468876.000000	0.000000	0.000000	0.006310	0.999949	2743353.000000	0.000000	0.000000	0.006310	0.999947	10000000.000000	0.000000	0.000000	0.006310	0.999948	10000000.000000	0.000000	0.000000	
+0.005012	0.999960	628814.000000	0.000000	0.000000	0.005012	0.999975	1411546.000000	0.000000	0.000000	0.005012	0.999977	3335611.000000	0.000000	0.000000	0.005012	0.999976	10000000.000000	0.000000	0.000000	0.005012	0.999978	10000000.000000	0.000000	0.000000	
+0.003981	0.999986	730542.000000	0.000000	0.000000	0.003981	0.999991	1706501.000000	0.000000	0.000000	0.003981	0.999988	5343610.000000	0.000000	0.000000	0.003981	0.999986	10000000.000000	0.000000	0.000000	0.003981	0.999988	10000000.000000	0.000000	0.000000	
+0.003162	0.999992	1164930.000000	0.000000	0.000000	0.003162	0.999996	2052958.000000	0.000000	0.000000	0.003162	0.999993	5000142.000000	0.000000	0.000000	0.003162	0.999993	10000000.000000	0.000000	0.000000	0.003162	0.999995	10000000.000000	0.000000	0.000000	
+0.002512	0.999996	1501968.000000	0.000000	0.000000	0.002512	0.999997	2683057.000000	0.000000	0.000000	0.002512	0.999996	5897755.000000	0.000000	0.000000	0.002512	0.999998	10000000.000000	0.000000	0.000000	0.002512	0.999998	10000000.000000	0.000000	0.000000	
diff --git a/gnuplot/result/my-bp3-feedback5-num-data-200-schedule.gnudat b/gnuplot/result/my-bp3-feedback5-num-data-200-schedule.gnudat
new file mode 100644
index 0000000..efc9c29
--- /dev/null
+++ b/gnuplot/result/my-bp3-feedback5-num-data-200-schedule.gnudat
@@ -0,0 +1,13 @@
+#header
+sizes: 13, 11, 9, 7, 5, 
+ p, P_c converge rate, zero error vectors, weight one error, weight 2 error
+0.019953	0.996276	53980.000000	0.000000	0.000000	0.019953	0.997211	72061.000000	0.000000	0.000000	0.019953	0.997052	68189.000000	0.000000	0.000000	0.019953	0.997903	95864.000000	0.000000	0.000000	0.019953	0.998037	102370.000000	0.000000	0.000000	
+0.015849	0.998422	127346.000000	0.000000	0.000000	0.015849	0.998610	144652.000000	0.000000	0.000000	0.015849	0.998728	157984.000000	0.000000	0.000000	0.015849	0.998996	200236.000000	0.000000	0.000000	0.015849	0.999007	202328.000000	0.000000	0.000000	
+0.012589	0.999379	261056.000000	0.000000	0.000000	0.012589	0.999470	379271.000000	0.000000	0.000000	0.012589	0.999395	332183.000000	0.000000	0.000000	0.012589	0.999520	418436.000000	0.000000	0.000000	0.012589	0.999571	468690.000000	0.000000	0.000000	
+0.010000	0.999707	293838.000000	0.000000	0.000000	0.010000	0.999746	712208.000000	0.000000	0.000000	0.010000	0.999758	831736.000000	0.000000	0.000000	0.010000	0.999770	874728.000000	0.000000	0.000000	0.010000	0.999779	911212.000000	0.000000	0.000000	
+0.007943	0.999863	357256.000000	0.000000	0.000000	0.007943	0.999871	804203.000000	0.000000	0.000000	0.007943	0.999884	1737895.000000	0.000000	0.000000	0.007943	0.999897	1959189.000000	0.000000	0.000000	0.007943	0.999897	1944568.000000	0.000000	0.000000	
+0.006310	0.999940	465965.000000	0.000000	0.000000	0.006310	0.999950	1028936.000000	0.000000	0.000000	0.006310	0.999945	2000000.000000	0.000000	0.000000	0.006310	0.999947	2000000.000000	0.000000	0.000000	0.006310	0.999942	2000000.000000	0.000000	0.000000	
+0.005012	0.999968	562299.000000	0.000000	0.000000	0.005012	0.999967	1269060.000000	0.000000	0.000000	0.005012	0.999974	2000000.000000	0.000000	0.000000	0.005012	0.999977	2000000.000000	0.000000	0.000000	0.005012	0.999971	2000000.000000	0.000000	0.000000	
+0.003981	0.999986	625880.000000	0.000000	0.000000	0.003981	0.999987	1495550.000000	0.000000	0.000000	0.003981	0.999988	2000000.000000	0.000000	0.000000	0.003981	0.999990	2000000.000000	0.000000	0.000000	0.003981	0.999989	2000000.000000	0.000000	0.000000	
+0.003162	0.999998	1042658.000000	0.000000	0.000000	0.003162	0.999993	1976599.000000	0.000000	0.000000	0.003162	0.999993	2000000.000000	0.000000	0.000000	0.003162	0.999996	2000000.000000	0.000000	0.000000	0.003162	0.999995	2000000.000000	0.000000	0.000000	
+0.002512	0.999997	1290345.000000	0.000000	0.000000	0.002512	0.999996	2000000.000000	0.000000	0.000000	0.002512	0.999998	2000000.000000	0.000000	0.000000	0.002512	0.999998	2000000.000000	0.000000	0.000000	0.002512	1.000000	2000000.000000	0.000000	0.000000	
diff --git a/gnuplot/toric_rate.gnu b/gnuplot/toric_rate.gnu
index 72f8d48..564e431 100755
--- a/gnuplot/toric_rate.gnu
+++ b/gnuplot/toric_rate.gnu
@@ -9,13 +9,20 @@ data_title='iteration0-cycle1000-Dint2-300'
 data_title='iteration0-cycle1000-Dint2-50'
 
 #data_title='my-bp2-iteration0-cycle200'
-data_title='my-bp2-iteration0-cycle1000-prod-check'
-data_title='my-bp2-iteration10-cycle1000-min-sum'
-data_title='my-bp3-iteration0-cycle1000-min-sum'
-data_title='my-bp3-feedback10-cycle5000-schedule'
-data_title='my-bp3-feedback5-cycle20000-schedule'
-data_title='my-bp3-feedback5-cycle0-10000-schedule'
-data_title='my-bp3-feedback5-num-data-100-schedule'
+#data_title='my-bp2-iteration0-cycle1000-prod-check'
+#data_title='my-bp2-iteration0-cycle1000'
+#data_title='my-bp2-iteration10-cycle1000-min-sum'
+#data_title='my-bp3-iteration0-cycle1000-min-sum'
+#data_title='my-bp3-feedback10-cycle5000-schedule'
+#data_title='my-bp3-feedback5-cycle20000-schedule'
+
+#data_title='my-bp3-feedback5-cycle0-10000-schedule'
+
+# show threshold around 0.008
+#data_title='my-bp3-feedback5-num-data-1000-schedule'
+data_title='my-bp3-feedback5-num-data-1000-schedule-p'
+
+data_title='my-bp3-feedback5-num-data-1000-flexible'
 
 
 
@@ -35,14 +42,15 @@ print "output: "."bp_plot/".data_title.plot_title.".pdf"
 
 set key left box
 set xlabel "Error probability: p"
-set ylabel "Converge rate: P_c"
+set ylabel "Non Converge rate: P_c"
 set logscale y
 set format y "10^{%L}"
 set logscale x
-#set format x "10^{%L}"
-set xrange [0.001:0.021]
+set format x "10^{%L}"
+#set xrange [0.01:0.021]
+set xrange [0.01:0.41]
 #set yrange [0.01:1]
-set title "converge rate of BP for toric code ".data_title.plot_title
+set title "BP for toric code ".data_title.plot_title
 
 set linetype cycle 5
 
@@ -50,14 +58,14 @@ set linetype cycle 5
 #size_set ="5 7 9 11 13"
 
 #plot rate
-f(x)=x*x*x*100
+#f(x)=x*x*x*100
 
 size_set="13 11 9 7 5"
 color_set="violet blue red yellow black green"
 
 # plot rate
 plot for [i=1:5] data_file using (column((i-1)*5+1)):(1-column((i-1)*5+2)) title 'size '.word(size_set,i) with linespoints ps 0.5 lc i,\
-[0.005:0.03] f(x) title '100x^3' dt '.'
+[0.02:0.09] x*x*x*1000 title 'x^3' dt '.'
 
 
 # plot weight of input error
diff --git a/my_bp3.c b/my_bp3.c
index e21a88a..c58e41d 100644
--- a/my_bp3.c
+++ b/my_bp3.c
@@ -32,14 +32,16 @@ int main(int argc, char **argv){
   vector<future<int>> pool;
   vector<future<int>>::size_type pool_size=15; //max number of threads, 15 with decreasing size for best performace
   std::chrono::milliseconds span (100);
-  std::chrono::milliseconds final_thread_time (10000);//10 secs
+  std::chrono::milliseconds final_thread_time (10000);//10 secs before prelimilary result print
   string filename_data="gnuplot/result/my-bp3-iteration0-cycle100-min-sum.gnudat";
   //  filename_data="gnuplot/result/my-bp3-feedback5-cycle0-10000-schedule.gnudat";
-  filename_data="gnuplot/result/my-bp3-feedback5-num-data-200-schedule.gnudat";
+  filename_data="gnuplot/result/my-bp3-feedback5-num-data-1000-schedule-p.gnudat";
+  filename_data="gnuplot/result/my-bp3-feedback5-num-data-1000-flexible.gnudat";
   int feedback=5;
   //  int cycle0=10000; //number of cycles for the first data points
-  double time_out=2000;//time out in seconds for each data points (p and size)
-  int num_data_points = 200;//data entry for each data points
+  int cycles = 1000000;//70 sec for 2,000,000
+  double time_out=500;//time out in seconds for each data points (p and size)
+  int num_data_points = 50;//data entry for each data points
     
   //change parameter p, code size
   //char * filename_result=argv[3];//prefix for the file
@@ -48,8 +50,8 @@ int main(int argc, char **argv){
   int sizes[]= {13,11,9,7,5};
   string stabilizer_folder="data/toric/stabilizer";
   //string error_folder="data/toric/bp_decoding4";
-  double ip_begin=-1.7;
-  double ip_end=-2.7;    
+  double ip_begin=-0.7;
+  double ip_end=-2.0;    
   int data_rows = (ip_begin-ip_end)/0.1;
   mat data(data_rows,5*5);   //return result in a mat, 5 columns for each size. format defines in header
   data.zeros();
@@ -67,7 +69,6 @@ int main(int argc, char **argv){
       row_index ++;
       //atof(argv[4]);
       p=pow(10,ip);
-      int cycles = 2000000;
       //      int cycles = std::pow(p,-3)/100/2*num_data_points;//around 10 data points for each point
       //      int cycles = cycle0*std::pow(10,3*(ip-ip_begin)/(ip_end-ip_begin));
       //p=ip/100000.0;//previous use 1000 division. Now use 100,000 division cause the thershold for toric codes seems to be around 0.1%.
@@ -150,7 +151,7 @@ int decode( GF2mat G, GF2mat H, double p,  mat * data, int col_index, int row_in
   bp_decoder.set_decode_mode_str("min sum");
   bp_decoder.set_exit_iteration(exit_at_iteration);
   bp_decoder.set_debug_mode(false);
-  bp_decoder.set_schedule_mode(1);
+  bp_decoder.set_schedule_mode(2);
   bp_decoder.print_info();
   
   Real_Timer timer;
diff --git a/my_bp3.out b/my_bp3.out
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diff --git a/readme.md b/readme.md
index 49ba5be..9db229c 100644
--- a/readme.md
+++ b/readme.md
@@ -24,4 +24,5 @@
   - [x] my min sun is slightly worse than Dint2=0
   - [x] iteration 10 show similar big improvement percentage. Still relatively lower than corresponding itpp
   - [x] write decoder as a class in head file, instead of functions
-  - [x] layered schedule itself show no improvement. But layered scheduling plus enhanced feedback show improvement with a factor greater than 10. Run it overnight to see if there is a threshold
\ No newline at end of file
+  - [x] layered schedule itself show no improvement. But layered scheduling plus enhanced feedback show improvement with a factor greater than 10. Run it overnight to see if there is a threshold. Yehua's paper has threshold around 7%. Hence I am looking for the range around 1%
+  
\ No newline at end of file