Data 622 - Final Project: Homework 4

\(~\)

YouTube Video

---

The Problem:

Cardiotocography (CTG) is a monitoring technique used during pregnancy to assess the well-being of the fetus. It involves simultaneous monitoring of two important parameters, Fetal Heart Rate (FHR) and Uterine Contractions. The primary goal of CTG monitoring is to assess the fetal heart rate patterns and uterine contractions to ensure that the fetus is receiving adequate oxygen and is not in distress. CTG helps healthcare professionals detect any signs of fetal distress or abnormalities in the heart rate pattern, which may require further investigation or intervention. CTG is commonly used during labor to continuously monitor the fetal heart rate and contractions to ensure the safety and well-being of the baby during the birthing process. CTG monitoring plays a crucial role in obstetrics and prenatal care. It helps healthcare providers in making informed decisions regarding the management of labor, identifying fetal distress, and determining the need for interventions such as cesarean sections or other medical treatments to ensure the safety and well-being of both the mother and the baby. In this project I will develop two predictive models (Decision Tree and Neural Networks) to classify the fetal health status (Normal, Suspect, Pathological) based on the CTG exam measurements.

\(~\)

The Data:

The Fetal Health Classification dataset, available on Kaggle.com, comprises various cardiotocogram (CTG) exam measurements used to monitor fetal health during pregnancy. This dataset is aimed at predicting the health status of a fetus based on features obtained from CTG exams. The dataset contains 21 features derived from CTG exams and a target variable indicating the fetal health status. These features include quantitative measurements obtained from CTG exams, such as baseline fetal heart rate, accelerations, decelerations, uterine contractions, and various other parameters related to fetal health monitoring.

The target variable represents the fetal health status, which is classified into three categories:

• Normal: Indicates a normal or healthy fetal condition.
• Suspect: Suggests a potential concern or suspicion regarding fetal health.
• Pathological: Indicates a pathological or concerning fetal health condition.

\(~\)

Full description of the variables below:

Variable	Description
baseline.value [LB]	Fetal heart rate (FHR) baseline (beats per minute)
accelerations [AC]	# of accelerations per second
fetal_movement [FM]	# of fetal movements per second
uterine_contractions [UC]	# of uterine contractions per second
light_decelerations [DL]	# of light decelerations per second
severe_decelerations [DS]	# of severe decelerations per second
prolongued_decelerations [DP]	# of prolonged decelerations per second
abnormal_short_term_variability [ASTV]	% of time with abnormal short term variability
mean_value_of_short_term_variability [MSTV]	Mean value of short term variability
percentage_of_time_with_abnormal_long_term_variability [ALTV]	% of time with abnormal long term variability
mean_value_of_long_term_variability [MLTV]	Mean value of long term variability
histogram_width [Hist_width]	Width of FHR histogram
histogram_min [Hist_min]	Minimum (low frequency) of FHR histogram
histogram_max [Hist_max]	Maximum (high frequency) of FHR histogram
histogram_number_of_peaks [Nmax]	# of histogram peaks
histogram_number_of_zeroes [Nzeroes]	# of histogram zeroes
histogram_mode [Hist_mode]	Histogram mode
histogram_mean [Hist_mean]	Histogram mean
histogram_median [Hist_median]	Histogram median
histogram_variance [Hist_var]	Histogram variance
histogram_tendency [Hist_tendency]	Histogram tendency
fetal_health [NSP]	1 (Normal), 2 (Suspect), 3 (Pathological) - TARGET

\(~\)

Methodology:

Cleanse the dataset, handle missing values (if any), encode categorical variables, and normalize/standardize numerical features as necessary. Divide the dataset into training and testing sets to train the models and evaluate their performance. For the model building I will utilize a decision tree algorithm to create a classification model that learns patterns in the dataset’s features (like fetal heart rate, uterine contractions, etc.) to predict the fetal health status. Implement a neural network architecture, to train a model that can learn complex patterns and relationships within the dataset to classify the fetal health status accurately.

• For Decision Tree: Use the decision tree algorithm available in R (e.g., using libraries like rpart or tree) to create the classification model.
• For Neural Networks: Use R libraries such as nnet and neuralnet to build and train a neural network model.

Evaluate the models using appropriate evaluation metrics on the test dataset to assess their performance. Fine-tune the models by adjusting hyperparameters (like tree depth, learning rate, number of layers/neurons) to optimize their performance. Compare the performance of the decision tree and neural network models to determine which one performs best in classifying fetal health status. Finally, use the best-performing model to make predictions on new or unseen data.

\(~\)

Load Libraries:

The following libraries were utilized in this assignment:

# load libraries
library(tidyverse) # data prep
library(skimr) # data prep
library(rpart) # decision tree package
library(rpart.plot) # decision tree display package
library(kableExtra)
library(knitr) # kable function for table
library(formattable)
library(tidyr) # splitting data
library(dplyr) # used in filtering outliers
library(ggplot2) # graphing
library(hrbrthemes) # chart customization
library(viridis) # ggplot2 formating for boxplot
library(gridExtra) # layering charts
library(stringr) # data prep
library(tidymodels) # predictions
library(corrplot) # correlation plot
library(caret) # confusion matrix
library(neuralnet) # neural network
library(randomForest) # for the random forest

\(~\)

Load Data:

The dataset selected has been incorporated into my GitHub repository and imported into R.

Baseline_Value	AC	FM	UC	DL	DS	DP	ASTV	MSTV	ALTV	MLTV	Hist_width	Hist_min	Hist_max	Nmax	Nzeroes	Hist_mode	Hist_mean	Hist_median	Hist_var	Hist_tendency	Fetal_Health
120	0.000	0.000	0.000	0.000	0.000	0.000	73	0.5	43	2.4	64	62	126	2	0	120	137	121	73	1	2
132	0.006	0.000	0.006	0.003	0.000	0.000	17	2.1	0	10.4	130	68	198	6	1	141	136	140	12	0	1
133	0.003	0.000	0.008	0.003	0.000	0.000	16	2.1	0	13.4	130	68	198	5	1	141	135	138	13	0	1
134	0.003	0.000	0.008	0.003	0.000	0.000	16	2.4	0	23.0	117	53	170	11	0	137	134	137	13	1	1
132	0.007	0.000	0.008	0.000	0.000	0.000	16	2.4	0	19.9	117	53	170	9	0	137	136	138	11	1	1
134	0.001	0.000	0.010	0.009	0.000	0.002	26	5.9	0	0.0	150	50	200	5	3	76	107	107	170	0	3
134	0.001	0.000	0.013	0.008	0.000	0.003	29	6.3	0	0.0	150	50	200	6	3	71	107	106	215	0	3
122	0.000	0.000	0.000	0.000	0.000	0.000	83	0.5	6	15.6	68	62	130	0	0	122	122	123	3	1	3
122	0.000	0.000	0.002	0.000	0.000	0.000	84	0.5	5	13.6	68	62	130	0	0	122	122	123	3	1	3
122	0.000	0.000	0.003	0.000	0.000	0.000	86	0.3	6	10.6	68	62	130	1	0	122	122	123	1	1	3
151	0.000	0.000	0.001	0.001	0.000	0.000	64	1.9	9	27.6	130	56	186	2	0	150	148	151	9	1	2
150	0.000	0.000	0.001	0.001	0.000	0.000	64	2.0	8	29.5	130	56	186	5	0	150	148	151	10	1	2
131	0.005	0.072	0.008	0.003	0.000	0.000	28	1.4	0	12.9	66	88	154	5	0	135	134	137	7	1	1
131	0.009	0.222	0.006	0.002	0.000	0.000	28	1.5	0	5.4	87	71	158	2	0	141	137	141	10	1	1
130	0.006	0.408	0.004	0.005	0.000	0.001	21	2.3	0	7.9	107	67	174	7	0	143	125	135	76	0	1
130	0.006	0.380	0.004	0.004	0.000	0.001	19	2.3	0	8.7	107	67	174	3	0	134	127	133	43	0	1
130	0.006	0.441	0.005	0.005	0.000	0.000	24	2.1	0	10.9	125	53	178	5	0	143	128	138	70	1	1
131	0.002	0.383	0.003	0.005	0.000	0.002	18	2.4	0	13.9	107	67	174	5	0	134	125	132	45	0	2
130	0.003	0.451	0.006	0.004	0.000	0.001	23	1.9	0	8.8	99	59	158	6	0	133	124	129	36	1	1
130	0.005	0.469	0.005	0.004	0.000	0.001	29	1.7	0	7.8	112	65	177	6	1	133	129	133	27	0	1
129	0.000	0.340	0.004	0.002	0.000	0.003	30	2.1	0	8.5	128	54	182	13	0	129	104	120	138	0	3
128	0.005	0.425	0.003	0.003	0.000	0.002	26	1.7	0	6.7	141	57	198	9	0	129	125	132	34	0	1
128	0.000	0.334	0.003	0.003	0.000	0.003	34	2.5	0	4.0	145	54	199	11	1	75	99	102	148	-1	3
128	0.000	0.000	0.000	0.000	0.000	0.000	80	0.5	0	6.8	16	114	130	0	0	126	124	125	1	1	3
128	0.000	0.000	0.003	0.000	0.000	0.000	86	0.3	79	2.9	16	114	130	0	0	128	126	129	0	1	3
124	0.000	0.000	0.000	0.000	0.000	0.000	86	0.3	72	4.0	12	118	130	1	0	124	124	125	0	0	3
124	0.000	0.000	0.000	0.000	0.000	0.000	86	0.4	14	4.8	24	122	146	1	0	126	126	127	0	-1	3
124	0.000	0.000	0.000	0.000	0.000	0.000	87	0.2	71	3.4	10	118	128	0	0	124	123	125	0	0	3
132	0.000	0.135	0.001	0.008	0.000	0.001	29	4.4	0	10.5	141	50	191	7	1	133	119	129	73	0	2
132	0.000	0.099	0.000	0.012	0.000	0.000	26	6.0	0	5.0	143	50	193	10	0	133	113	117	89	0	1
132	0.000	0.108	0.002	0.010	0.000	0.000	26	4.5	0	12.5	149	50	199	9	0	133	120	126	56	0	1
132	0.000	0.112	0.004	0.014	0.000	0.000	22	6.9	0	6.3	149	50	199	10	0	123	112	115	66	0	1
132	0.000	0.089	0.001	0.010	0.000	0.000	29	2.9	0	15.1	144	50	194	11	1	133	124	130	35	0	1
120	0.008	0.103	0.001	0.001	0.000	0.000	28	3.4	0	21.7	126	55	181	13	0	121	124	126	25	0	1
120	0.009	0.085	0.002	0.002	0.000	0.000	28	3.2	0	12.4	128	53	181	9	1	129	125	127	25	0	1
120	0.006	0.109	0.007	0.000	0.000	0.000	27	3.7	0	24.2	144	51	195	11	0	125	124	126	24	0	1
115	0.005	0.079	0.005	0.003	0.000	0.000	23	3.4	0	18.8	130	52	182	9	0	119	116	118	21	0	1
114	0.005	0.000	0.005	0.003	0.000	0.000	24	3.2	0	16.2	134	52	186	8	0	117	115	117	19	0	1
115	0.006	0.065	0.004	0.001	0.000	0.000	22	3.6	0	19.6	138	50	188	8	0	117	117	119	21	0	1
115	0.009	0.055	0.005	0.000	0.000	0.000	27	2.3	0	12.4	129	53	182	7	0	119	120	120	14	0	1
114	0.008	0.058	0.007	0.001	0.000	0.000	28	2.2	0	12.2	98	55	153	7	1	119	119	120	13	0	1
114	0.006	0.047	0.009	0.000	0.000	0.000	27	2.4	0	13.5	128	54	182	6	0	119	118	119	13	0	1
116	0.002	0.038	0.005	0.000	0.000	0.000	40	1.6	1	13.3	93	55	148	6	0	127	124	127	9	1	1
116	0.004	0.012	0.005	0.000	0.000	0.000	40	1.8	1	11.4	142	52	194	13	1	125	122	125	9	0	1
122	0.000	0.018	0.003	0.005	0.000	0.000	22	4.4	0	15.2	150	50	200	7	0	119	113	117	24	0	1
122	0.000	0.020	0.003	0.006	0.000	0.000	21	4.7	0	15.7	150	50	200	8	0	116	112	117	23	0	1
122	0.000	0.005	0.008	0.003	0.000	0.000	17	4.9	0	22.1	145	53	198	13	0	127	122	126	25	0	1
122	0.002	0.003	0.006	0.002	0.000	0.000	20	5.0	0	21.1	148	50	198	11	0	127	124	127	28	0	1
122	0.003	0.006	0.006	0.006	0.000	0.000	22	7.0	0	16.6	149	50	199	7	0	129	118	124	75	0	1
158	0.005	0.000	0.008	0.001	0.000	0.000	27	1.7	0	14.9	120	77	197	7	0	170	168	170	14	1	1
158	0.005	0.000	0.008	0.000	0.000	0.000	29	1.3	0	12.8	55	142	197	4	0	170	171	172	9	0	1
156	0.000	0.000	0.012	0.008	0.000	0.000	43	4.1	0	22.2	150	50	200	7	1	151	142	152	72	1	1
156	0.000	0.000	0.011	0.008	0.000	0.001	34	5.4	0	3.3	150	50	200	8	0	117	131	136	108	0	2
150	0.000	0.001	0.000	0.001	0.000	0.000	61	0.5	40	6.2	31	130	161	2	0	154	152	154	1	1	2
148	0.000	0.003	0.000	0.000	0.000	0.000	70	0.3	69	5.1	18	136	154	3	0	150	148	150	0	1	3
149	0.000	0.000	0.000	0.002	0.000	0.000	57	1.2	54	12.8	126	58	184	12	1	150	148	151	8	1	2
149	0.000	0.000	0.000	0.001	0.000	0.000	58	1.3	53	13.2	126	58	184	12	1	150	148	151	8	1	2
146	0.000	0.000	0.006	0.000	0.000	0.000	39	0.8	38	5.5	18	148	166	1	0	154	155	156	1	0	1
148	0.000	0.000	0.005	0.000	0.000	0.000	41	0.8	29	6.4	20	143	163	1	0	154	153	154	0	0	1
144	0.008	0.000	0.007	0.000	0.000	0.000	33	1.1	0	6.2	100	78	178	5	0	149	152	152	8	1	1
146	0.005	0.000	0.005	0.000	0.000	0.000	39	0.9	18	5.2	44	134	178	5	0	154	154	155	4	0	1
146	0.005	0.000	0.005	0.000	0.000	0.000	39	0.8	21	5.2	28	143	171	2	0	154	153	154	1	0	1
142	0.000	0.000	0.003	0.000	0.000	0.000	25	1.3	0	11.6	26	130	156	0	0	147	145	147	2	0	1
136	0.003	0.000	0.005	0.000	0.000	0.000	24	1.5	0	11.2	111	74	185	11	0	140	140	141	2	0	1
141	0.001	0.000	0.005	0.000	0.000	0.000	25	1.5	0	13.4	103	74	177	10	0	142	143	144	4	1	1
150	0.000	0.000	0.004	0.000	0.000	0.000	40	0.8	37	5.7	18	143	161	1	0	153	153	154	0	0	1
138	0.001	0.000	0.004	0.000	0.000	0.000	44	1.0	20	11.9	99	81	180	9	2	162	156	159	8	1	1
140	0.007	0.000	0.004	0.000	0.000	0.000	34	1.2	0	10.3	60	119	179	2	0	156	153	155	5	0	1
140	0.007	0.000	0.004	0.000	0.000	0.000	34	1.2	0	10.3	60	119	179	2	0	156	153	155	5	0	1
144	0.000	0.000	0.005	0.000	0.000	0.000	46	0.8	1	13.0	37	132	169	4	0	162	158	160	5	1	1
144	0.001	0.000	0.005	0.000	0.000	0.000	45	0.8	2	11.5	30	138	168	3	0	162	157	160	5	1	1
140	0.010	0.006	0.003	0.000	0.000	0.000	52	1.6	0	16.2	104	68	172	0	0	144	147	147	14	1	1
140	0.008	0.005	0.000	0.000	0.000	0.000	53	1.5	0	12.9	104	68	172	2	0	146	147	147	12	1	1
140	0.008	0.004	0.004	0.000	0.000	0.000	52	1.9	0	17.7	108	68	176	2	0	144	147	147	18	1	1
140	0.006	0.003	0.003	0.000	0.000	0.000	56	1.5	1	15.1	108	68	176	3	0	156	150	153	15	1	1
154	0.000	0.000	0.004	0.000	0.000	0.000	65	0.9	0	13.4	92	74	166	2	0	156	158	159	2	1	2
150	0.000	0.000	0.003	0.000	0.000	0.000	61	0.9	3	8.7	28	138	166	0	0	152	153	155	3	0	2
145	0.007	0.009	0.002	0.000	0.000	0.000	36	1.4	0	13.6	119	57	176	3	1	148	150	150	12	1	1
145	0.003	0.003	0.001	0.000	0.000	0.000	34	1.7	0	22.3	117	57	174	6	1	150	147	150	11	1	1
145	0.005	0.010	0.005	0.000	0.000	0.000	35	1.9	0	21.3	140	56	196	5	0	148	150	151	12	1	1
145	0.000	0.002	0.002	0.000	0.000	0.000	34	1.7	0	25.9	109	57	166	5	1	150	147	150	10	1	1
145	0.002	0.008	0.003	0.000	0.000	0.000	40	1.4	0	18.4	140	56	196	9	1	148	148	149	7	0	1
145	0.000	0.007	0.002	0.000	0.000	0.000	41	1.2	0	15.8	136	60	196	8	1	145	148	149	6	0	1
145	0.015	0.008	0.002	0.000	0.000	0.000	43	1.5	0	0.0	109	63	172	5	0	156	156	158	11	1	1
145	0.013	0.028	0.001	0.000	0.000	0.000	41	1.1	0	11.4	125	62	187	4	0	167	164	166	11	1	1
145	0.014	0.026	0.001	0.000	0.000	0.000	40	1.1	0	1.2	113	73	186	4	0	165	163	165	11	1	1
145	0.008	0.000	0.002	0.000	0.000	0.000	41	1.8	0	23.4	117	50	167	4	0	154	151	154	16	1	1
139	0.000	0.107	0.000	0.002	0.000	0.000	38	1.5	0	13.3	134	53	187	5	0	133	136	138	6	0	1
139	0.000	0.009	0.000	0.000	0.000	0.000	62	0.7	27	11.5	111	73	184	4	0	148	147	148	2	1	1
139	0.002	0.003	0.000	0.003	0.000	0.000	51	2.2	0	7.1	148	52	200	12	4	147	137	145	55	0	2
139	0.002	0.002	0.002	0.000	0.000	0.000	64	0.4	29	6.5	28	135	163	1	0	161	152	157	13	1	2
148	0.000	0.000	0.000	0.000	0.000	0.000	67	0.4	67	4.9	15	139	154	4	0	150	149	151	0	1	2
148	0.000	0.003	0.000	0.000	0.000	0.000	70	0.3	68	5.3	17	136	153	2	0	150	148	150	0	1	2
148	0.000	0.000	0.000	0.000	0.000	0.000	68	0.3	75	4.5	25	128	153	3	0	150	149	151	0	1	3
148	0.000	0.005	0.002	0.000	0.000	0.000	72	0.3	74	4.6	16	136	152	0	0	150	148	150	0	1	3
148	0.000	0.000	0.000	0.000	0.000	0.000	58	0.5	7	9.5	21	135	156	1	0	150	149	151	1	1	1
148	0.000	0.000	0.000	0.000	0.000	0.000	63	0.4	30	8.8	35	121	156	3	1	150	149	151	1	1	2
148	0.000	0.001	0.000	0.001	0.000	0.000	60	0.5	49	4.8	83	78	161	3	0	154	152	154	1	1	2
148	0.000	0.001	0.000	0.001	0.000	0.000	61	0.5	39	6.3	31	130	161	2	0	154	152	154	1	1	2
125	0.010	0.007	0.002	0.000	0.000	0.000	19	1.9	0	6.8	96	101	197	8	1	133	131	133	5	-1	1
125	0.005	0.000	0.002	0.003	0.000	0.000	25	1.7	6	11.6	93	72	165	3	0	133	128	132	10	0	1
125	0.005	0.008	0.002	0.001	0.000	0.000	24	1.6	0	14.6	55	97	152	6	2	131	130	132	6	0	1
125	0.008	0.013	0.002	0.000	0.000	0.000	24	1.6	0	17.3	84	68	152	4	0	132	132	133	5	1	1
125	0.003	0.003	0.000	0.000	0.000	0.000	29	1.1	0	11.0	29	117	146	0	0	131	130	132	1	0	1
125	0.003	0.016	0.000	0.000	0.000	0.000	22	1.9	0	15.8	82	68	150	5	1	132	130	133	6	1	1
125	0.004	0.029	0.003	0.004	0.000	0.000	22	2.8	0	17.2	128	56	184	5	1	125	123	126	16	0	1
125	0.000	0.050	0.000	0.008	0.000	0.000	22	3.9	0	13.1	145	52	197	7	1	121	117	121	23	0	1
125	0.007	0.004	0.006	0.002	0.000	0.000	22	2.1	0	12.1	105	73	178	8	0	126	126	128	11	0	1
125	0.006	0.053	0.006	0.005	0.000	0.000	20	2.5	0	7.1	134	63	197	8	1	125	125	127	16	0	1
125	0.000	0.003	0.000	0.000	0.000	0.000	25	1.5	0	19.3	62	80	142	4	1	127	125	127	6	1	1
125	0.007	0.058	0.002	0.007	0.000	0.000	23	2.2	0	4.4	122	78	200	10	0	131	125	128	20	0	1
129	0.005	0.003	0.001	0.000	0.000	0.000	34	1.7	0	12.9	118	78	196	10	0	137	136	137	6	0	1
129	0.005	0.003	0.005	0.000	0.000	0.000	35	1.3	0	10.1	92	101	193	6	0	136	134	135	4	0	1
129	0.000	0.003	0.006	0.000	0.000	0.000	38	1.2	0	12.5	54	111	165	4	1	133	132	134	2	0	1
129	0.007	0.009	0.009	0.012	0.000	0.000	22	5.2	0	0.0	145	50	195	13	1	139	122	129	86	0	1
129	0.000	0.011	0.007	0.015	0.000	0.000	22	4.8	0	0.0	138	50	188	7	2	129	114	120	60	0	1
123	0.000	0.000	0.007	0.002	0.000	0.002	26	4.3	0	19.4	146	50	196	8	1	126	105	113	117	0	3
123	0.003	0.000	0.004	0.004	0.000	0.000	30	1.1	1	5.8	53	95	148	3	0	125	124	126	6	0	1
123	0.001	0.000	0.004	0.006	0.000	0.000	29	1.1	0	3.9	56	92	148	3	0	123	122	124	6	0	1
123	0.004	0.000	0.005	0.005	0.000	0.000	24	1.3	0	2.1	56	92	148	3	0	121	123	125	7	0	1
123	0.000	0.000	0.005	0.004	0.000	0.000	47	1.1	31	7.4	130	59	189	14	2	129	122	127	15	0	1
123	0.000	0.000	0.005	0.005	0.000	0.000	50	0.8	32	3.1	94	75	169	7	0	125	122	126	8	0	1
123	0.000	0.000	0.005	0.006	0.000	0.000	45	1.0	19	3.8	85	59	144	8	1	124	119	125	14	1	1
123	0.006	0.000	0.006	0.004	0.000	0.000	33	1.3	0	4.7	138	61	199	9	1	135	122	127	39	0	1
123	0.000	0.000	0.007	0.005	0.000	0.002	28	1.4	0	4.5	77	61	138	3	1	114	112	115	15	1	2
159	0.000	0.000	0.003	0.000	0.000	0.000	65	0.4	16	10.8	91	81	172	0	0	163	163	165	2	1	2
159	0.000	0.000	0.004	0.000	0.000	0.000	69	0.3	21	6.4	15	153	168	0	0	163	163	164	0	1	2
159	0.000	0.000	0.003	0.000	0.000	0.000	62	0.5	6	13.2	91	81	172	0	0	163	163	164	2	1	2
159	0.000	0.000	0.003	0.000	0.000	0.000	65	0.4	11	6.8	15	153	168	0	0	163	162	164	0	1	2
158	0.000	0.000	0.000	0.000	0.000	0.000	54	0.6	34	8.0	93	77	170	3	0	165	163	165	2	1	1
158	0.000	0.000	0.000	0.000	0.000	0.000	55	0.5	38	5.8	15	156	171	0	0	165	164	166	0	0	1
158	0.000	0.000	0.000	0.000	0.000	0.000	56	0.6	31	8.6	92	77	169	1	0	165	162	164	2	1	1
158	0.000	0.000	0.000	0.000	0.000	0.000	57	0.5	58	4.3	11	159	170	0	0	165	165	166	0	0	1
159	0.001	0.000	0.008	0.000	0.000	0.000	61	0.4	8	8.6	44	133	177	4	0	165	164	166	1	1	1
159	0.002	0.000	0.010	0.000	0.000	0.000	58	0.5	0	7.9	44	133	177	4	0	163	164	166	2	1	1
159	0.000	0.000	0.008	0.000	0.000	0.000	66	0.4	13	8.5	24	149	173	0	0	165	164	166	0	1	2
159	0.002	0.000	0.010	0.000	0.000	0.000	58	0.5	0	7.8	44	133	177	4	0	163	164	165	2	1	1
159	0.000	0.000	0.009	0.000	0.000	0.000	66	0.4	16	7.2	23	147	170	0	0	165	164	166	0	1	2
159	0.001	0.000	0.008	0.000	0.000	0.000	57	0.5	8	9.1	40	148	188	0	0	167	169	170	5	0	2
159	0.002	0.000	0.009	0.000	0.000	0.000	58	0.5	13	8.0	42	146	188	2	0	167	172	174	8	0	2
159	0.000	0.000	0.006	0.000	0.000	0.000	57	0.5	0	8.1	22	155	177	1	0	170	167	168	2	0	1
154	0.003	0.000	0.002	0.001	0.000	0.000	44	2.0	0	26.3	147	50	197	10	10	153	158	162	27	1	1
154	0.000	0.000	0.002	0.000	0.000	0.000	48	0.9	0	12.7	90	93	183	4	0	167	161	163	8	1	2
154	0.003	0.000	0.003	0.000	0.000	0.000	44	2.0	0	35.7	147	50	197	8	5	153	155	157	23	1	1
143	0.005	0.000	0.003	0.000	0.000	0.000	50	1.2	7	16.9	121	57	178	10	0	146	147	148	10	1	1
143	0.008	0.000	0.002	0.000	0.000	0.000	50	0.9	0	4.4	106	72	178	5	0	147	150	149	6	1	1
143	0.001	0.000	0.001	0.000	0.000	0.000	51	1.1	10	18.0	100	72	172	8	1	147	146	147	4	1	1
149	0.002	0.000	0.003	0.000	0.000	0.000	51	1.0	8	18.8	99	71	170	4	0	151	153	154	7	1	1
149	0.003	0.000	0.000	0.000	0.000	0.000	51	0.9	9	10.6	94	77	171	4	1	153	154	154	5	1	1
148	0.002	0.000	0.006	0.000	0.000	0.000	54	0.7	15	9.0	52	115	167	7	1	153	152	154	3	1	1
148	0.000	0.000	0.003	0.000	0.000	0.000	57	0.5	20	9.6	48	115	163	5	0	153	152	153	1	1	1
148	0.000	0.000	0.004	0.000	0.000	0.000	55	0.6	13	10.4	46	115	161	5	0	151	152	153	1	1	1
140	0.006	0.001	0.004	0.001	0.000	0.000	41	1.7	0	8.3	121	52	173	12	1	159	149	154	30	1	1
125	0.004	0.000	0.006	0.000	0.000	0.000	31	1.3	0	11.3	85	114	199	3	0	126	131	132	9	-1	1
125	0.000	0.000	0.008	0.000	0.000	0.000	34	1.1	0	14.6	85	114	199	4	0	126	127	128	3	-1	1
123	0.002	0.000	0.005	0.000	0.000	0.000	38	0.9	14	8.8	39	113	152	2	0	126	128	128	4	0	1
123	0.001	0.000	0.006	0.000	0.000	0.000	39	0.8	12	8.9	28	113	141	2	0	126	126	127	1	0	1
123	0.002	0.000	0.006	0.000	0.000	0.000	38	0.9	13	8.0	24	117	141	1	0	126	127	128	1	0	1
123	0.007	0.000	0.006	0.000	0.000	0.000	34	0.9	11	3.3	31	116	147	1	0	126	128	128	3	-1	1
123	0.007	0.000	0.006	0.000	0.000	0.000	33	0.9	6	3.4	33	116	149	2	0	126	128	128	3	0	1
123	0.006	0.000	0.006	0.000	0.000	0.000	36	0.9	16	3.7	34	115	149	1	0	126	127	127	3	-1	1
123	0.005	0.000	0.007	0.000	0.000	0.000	35	0.9	13	3.2	33	116	149	1	0	126	128	127	3	-1	1
122	0.004	0.000	0.006	0.001	0.000	0.000	32	1.2	10	8.9	81	67	148	2	0	125	124	126	8	1	1
122	0.005	0.000	0.006	0.000	0.000	0.000	32	1.1	12	8.4	65	83	148	2	1	125	125	126	4	0	1
122	0.004	0.000	0.004	0.000	0.000	0.000	31	1.2	10	8.2	57	86	143	4	0	125	125	126	3	1	1
134	0.003	0.008	0.001	0.001	0.000	0.000	56	3.2	0	41.8	130	54	184	1	0	138	135	139	25	0	1
134	0.003	0.007	0.001	0.000	0.000	0.000	53	3.7	0	50.7	130	54	184	1	0	136	135	139	25	0	1
134	0.002	0.004	0.002	0.000	0.000	0.000	67	1.5	3	25.8	138	54	192	2	0	136	136	137	7	0	1
134	0.003	0.007	0.001	0.000	0.000	0.000	67	1.2	0	15.9	124	68	192	6	0	138	136	137	6	0	1
116	0.001	0.000	0.003	0.000	0.000	0.000	46	0.7	39	5.5	44	91	135	4	0	120	120	122	1	1	1
116	0.000	0.000	0.004	0.001	0.000	0.000	43	0.8	25	5.6	72	56	128	6	0	120	118	121	3	1	1
116	0.000	0.000	0.005	0.000	0.000	0.000	48	0.6	26	5.5	12	114	126	1	0	120	120	122	0	0	1
119	0.001	0.000	0.004	0.001	0.000	0.000	29	1.3	2	10.6	89	77	166	3	1	121	121	123	4	0	1
119	0.002	0.000	0.003	0.000	0.000	0.000	30	1.3	2	11.6	89	77	166	3	2	121	122	123	3	0	1
119	0.002	0.000	0.004	0.000	0.000	0.000	31	1.3	3	11.3	89	77	166	6	0	121	122	123	2	0	1
119	0.005	0.000	0.005	0.000	0.000	0.000	31	1.4	0	10.7	134	58	192	7	0	127	127	127	7	0	1
119	0.000	0.000	0.003	0.000	0.000	0.000	34	1.1	0	14.0	92	58	150	4	0	127	125	128	3	1	1
119	0.008	0.000	0.005	0.001	0.000	0.000	30	1.8	0	10.0	129	69	198	9	0	132	132	135	20	0	1
119	0.003	0.000	0.008	0.003	0.000	0.000	26	1.5	0	14.1	56	88	144	3	0	127	122	125	8	0	1
121	0.011	0.000	0.003	0.000	0.000	0.000	33	1.9	0	6.5	139	59	198	11	0	142	137	140	18	0	1
120	0.009	0.000	0.007	0.000	0.000	0.000	27	2.0	0	14.3	127	71	198	10	1	127	130	132	12	0	1
138	0.017	0.000	0.005	0.000	0.000	0.000	35	5.3	0	4.5	148	52	200	11	2	146	157	161	72	1	1
131	0.000	0.000	0.000	0.008	0.000	0.000	37	1.9	0	3.2	90	58	148	4	1	127	121	126	21	1	1
132	0.000	0.000	0.006	0.008	0.000	0.000	38	2.6	0	10.6	128	51	179	7	1	133	125	130	25	0	1
132	0.013	0.000	0.003	0.003	0.000	0.000	31	4.8	0	5.4	147	52	199	9	1	133	154	163	137	1	1
132	0.004	0.000	0.008	0.006	0.000	0.000	36	3.4	0	15.3	145	53	198	6	2	133	136	134	65	0	1
132	0.000	0.000	0.005	0.000	0.000	0.000	49	2.0	0	23.3	89	62	151	5	0	133	133	135	8	1	1
138	0.001	0.000	0.004	0.000	0.000	0.000	43	1.1	20	11.3	44	129	173	8	2	162	155	159	8	1	2
138	0.002	0.000	0.006	0.000	0.000	0.000	43	1.0	19	11.6	44	129	173	8	2	162	155	159	9	0	2
138	0.006	0.000	0.004	0.000	0.000	0.000	32	1.3	0	9.0	60	119	179	2	0	158	152	155	8	0	1
138	0.000	0.000	0.004	0.000	0.000	0.000	45	1.0	20	12.3	99	81	180	8	2	162	156	159	8	1	2
144	0.001	0.000	0.004	0.000	0.000	0.000	44	0.8	2	11.9	33	135	168	4	0	162	157	160	5	1	2
144	0.002	0.000	0.003	0.000	0.000	0.000	49	0.7	3	9.8	44	140	184	3	0	162	158	162	4	0	2
144	0.001	0.000	0.005	0.000	0.000	0.000	46	0.8	2	11.5	31	138	169	3	0	162	158	161	5	1	2
150	0.000	0.000	0.006	0.000	0.000	0.000	56	0.5	19	7.9	19	148	167	2	0	153	157	158	3	0	2
150	0.000	0.000	0.007	0.000	0.000	0.000	54	0.5	13	7.7	16	147	163	2	0	153	155	157	2	0	1
150	0.000	0.000	0.005	0.000	0.000	0.000	57	0.5	19	7.7	20	147	167	3	0	165	157	159	7	0	2
145	0.000	0.000	0.002	0.000	0.000	0.000	49	0.6	3	11.6	27	140	167	0	0	159	156	158	3	1	2
145	0.003	0.000	0.002	0.000	0.000	0.000	49	0.6	0	7.0	26	145	171	1	0	154	157	158	4	0	1
120	0.000	0.013	0.000	0.001	0.000	0.000	53	0.7	7	12.2	77	56	133	6	0	123	121	123	3	1	1
120	0.000	0.013	0.000	0.000	0.000	0.000	51	0.8	0	14.8	77	56	133	5	0	123	122	124	2	1	1
120	0.000	0.016	0.000	0.000	0.000	0.000	56	0.5	12	8.5	30	103	133	2	0	120	121	122	1	0	1
120	0.000	0.008	0.000	0.000	0.000	0.000	54	0.6	12	8.6	24	109	133	0	1	123	122	124	1	0	1
120	0.000	0.015	0.000	0.000	0.000	0.000	57	0.6	0	9.5	21	112	133	0	0	125	123	124	1	0	1
120	0.000	0.008	0.000	0.000	0.000	0.000	51	0.7	15	7.4	21	109	130	1	1	123	121	123	0	0	1
120	0.000	0.010	0.000	0.000	0.000	0.000	56	0.5	12	7.6	18	115	133	0	0	123	122	123	1	0	1
120	0.000	0.022	0.000	0.000	0.000	0.000	55	0.9	0	15.1	77	58	135	5	0	123	123	124	5	1	1
120	0.000	0.026	0.000	0.000	0.000	0.000	53	0.8	0	15.3	69	62	131	3	0	125	121	124	5	1	1
124	0.005	0.015	0.002	0.000	0.000	0.000	46	0.8	0	7.5	52	90	142	4	0	129	130	131	2	1	1
124	0.000	0.007	0.000	0.000	0.000	0.000	59	0.6	0	7.6	25	111	136	0	0	129	129	130	0	1	1
125	0.008	0.015	0.001	0.000	0.000	0.000	48	0.8	0	4.9	63	82	145	9	0	133	132	133	3	1	1
125	0.003	0.010	0.000	0.000	0.000	0.000	51	0.6	0	4.9	16	125	141	1	0	133	132	134	0	0	1
125	0.010	0.010	0.002	0.000	0.000	0.000	50	0.9	0	2.5	118	57	175	8	0	133	132	133	4	0	1
125	0.005	0.021	0.000	0.000	0.000	0.000	47	0.8	0	6.1	75	68	143	3	0	133	132	133	2	1	1
127	0.002	0.006	0.001	0.000	0.000	0.000	61	0.5	3	10.6	83	62	145	4	0	129	131	132	4	1	1
127	0.003	0.005	0.002	0.000	0.000	0.000	58	0.5	0	8.3	38	113	151	3	0	129	134	136	6	0	1
127	0.000	0.005	0.000	0.000	0.000	0.000	63	0.5	4	11.3	89	62	151	4	0	129	128	130	1	1	2
127	0.000	0.005	0.000	0.000	0.000	0.000	61	0.6	4	11.5	89	62	151	4	0	131	129	131	2	1	2
127	0.005	0.008	0.001	0.001	0.000	0.000	54	1.0	5	15.6	83	63	146	9	1	140	135	138	14	1	1
127	0.006	0.004	0.000	0.000	0.000	0.000	53	0.8	0	17.9	104	64	168	3	0	136	134	136	5	1	1
129	0.003	0.016	0.000	0.000	0.000	0.000	52	0.7	0	11.5	80	68	148	10	0	133	134	134	3	1	1
129	0.000	0.018	0.000	0.000	0.000	0.000	55	0.5	1	7.5	23	120	143	3	0	133	133	134	1	0	1
129	0.002	0.013	0.000	0.000	0.000	0.000	47	0.9	0	17.3	104	52	156	6	0	133	133	134	4	1	1
129	0.006	0.017	0.000	0.000	0.000	0.000	44	1.0	0	4.8	36	120	156	2	0	133	133	133	3	0	1
129	0.002	0.016	0.000	0.000	0.000	0.000	53	0.6	1	5.3	34	122	156	3	0	133	134	135	1	0	1
129	0.000	0.019	0.000	0.000	0.000	0.000	56	0.5	1	7.4	23	120	143	3	0	133	133	134	1	0	1
127	0.007	0.005	0.000	0.000	0.000	0.000	48	1.1	2	14.0	84	64	148	2	0	133	132	134	7	1	1
127	0.006	0.004	0.000	0.000	0.000	0.000	48	1.1	0	14.9	84	64	148	2	0	127	132	134	11	1	1
127	0.006	0.003	0.000	0.000	0.000	0.000	47	1.1	0	12.6	83	64	147	2	0	129	131	132	7	1	1
123	0.003	0.003	0.000	0.000	0.000	0.000	52	0.8	2	15.4	90	50	140	7	0	129	128	130	4	1	1
123	0.003	0.005	0.000	0.000	0.000	0.000	55	0.7	0	8.9	71	81	152	4	0	129	129	130	3	1	1
123	0.000	0.000	0.000	0.000	0.000	0.000	50	0.8	7	13.8	74	63	137	2	0	129	127	129	2	1	1
123	0.004	0.005	0.000	0.000	0.000	0.000	55	0.7	0	8.6	71	81	152	4	0	129	129	130	3	1	1
123	0.000	0.000	0.000	0.000	0.000	0.000	49	0.8	7	13.8	74	63	137	2	0	129	127	129	2	1	1
123	0.000	0.000	0.000	0.000	0.000	0.000	49	0.8	7	13.8	74	63	137	2	0	129	127	129	2	1	1
121	0.003	0.006	0.000	0.000	0.000	0.000	56	0.6	2	10.5	77	62	139	3	0	127	128	129	3	1	1
121	0.003	0.008	0.000	0.000	0.000	0.000	52	0.6	2	8.0	21	117	138	0	0	125	127	128	2	0	1
121	0.005	0.003	0.000	0.000	0.000	0.000	58	0.5	4	7.4	22	117	139	0	0	125	128	129	3	0	1
125	0.000	0.005	0.001	0.000	0.000	0.000	66	0.3	46	5.8	21	112	133	0	0	125	124	126	0	0	2
125	0.000	0.005	0.001	0.000	0.000	0.000	67	0.3	57	4.9	14	115	129	1	0	125	124	126	0	1	2
125	0.000	0.009	0.000	0.000	0.000	0.000	68	0.3	75	3.5	8	120	128	0	0	125	125	126	0	0	3
125	0.000	0.005	0.001	0.001	0.000	0.000	70	0.4	29	7.1	81	52	133	5	0	125	123	125	2	1	2
125	0.000	0.004	0.002	0.000	0.000	0.000	66	0.4	20	6.7	22	109	131	1	0	120	121	122	1	0	2
123	0.000	0.000	0.001	0.000	0.000	0.000	67	0.6	27	12.6	110	50	160	7	0	125	123	125	2	1	2
123	0.000	0.000	0.000	0.000	0.000	0.000	70	0.5	33	8.3	71	89	160	5	0	123	124	126	1	0	2
128	0.008	0.006	0.004	0.000	0.000	0.000	43	1.9	0	18.7	124	60	184	10	0	133	137	138	16	0	1
128	0.007	0.000	0.008	0.000	0.000	0.000	48	1.0	0	11.7	99	60	159	3	0	138	137	139	6	1	1
151	0.006	0.007	0.002	0.000	0.000	0.000	56	0.5	23	3.8	37	141	178	3	0	157	160	160	4	0	1
151	0.010	0.009	0.003	0.000	0.000	0.000	50	0.7	0	0.9	37	141	178	2	0	161	162	163	4	0	1
151	0.002	0.004	0.000	0.000	0.000	0.000	64	0.4	40	4.6	27	141	168	2	0	157	156	158	1	0	2
148	0.003	0.010	0.003	0.000	0.000	0.000	61	0.5	26	7.4	26	139	165	2	0	153	152	154	2	0	2
130	0.000	0.009	0.006	0.000	0.000	0.000	67	0.5	22	14.3	84	72	156	12	0	143	140	143	4	1	2
130	0.002	0.008	0.003	0.000	0.000	0.000	57	0.6	26	14.3	91	65	156	7	0	129	131	133	10	1	1
130	0.000	0.000	0.000	0.000	0.000	0.000	53	0.6	51	5.0	19	114	133	2	0	120	122	122	3	-1	1
130	0.000	0.009	0.002	0.000	0.000	0.000	51	0.6	37	9.1	30	114	144	3	0	120	125	126	8	-1	1
127	0.007	0.000	0.007	0.005	0.000	0.000	14	3.3	0	6.3	124	67	191	8	0	129	125	130	45	0	1
127	0.006	0.000	0.008	0.005	0.000	0.000	12	3.4	0	5.7	130	58	188	8	0	129	122	129	41	0	1
127	0.007	0.000	0.005	0.007	0.000	0.000	16	3.4	0	0.0	138	53	191	11	0	153	124	130	136	0	1
127	0.012	0.000	0.008	0.004	0.000	0.000	13	3.8	0	1.3	138	53	191	12	1	133	126	131	41	0	1
127	0.004	0.000	0.013	0.004	0.000	0.000	13	3.2	0	10.1	98	61	159	3	2	129	124	129	35	1	1
127	0.000	0.000	0.005	0.000	0.000	0.000	22	1.5	0	12.3	91	107	198	5	1	135	132	134	3	-1	1
127	0.000	0.000	0.006	0.000	0.000	0.000	23	1.5	0	13.2	91	107	198	6	0	135	134	135	4	-1	1
127	0.000	0.000	0.006	0.000	0.000	0.000	24	1.7	0	15.8	91	107	198	9	0	135	136	138	7	-1	1
127	0.000	0.000	0.006	0.000	0.000	0.000	22	1.7	0	15.5	91	107	198	6	0	135	134	137	6	-1	1
127	0.000	0.000	0.005	0.000	0.000	0.000	21	1.7	0	12.4	37	114	151	4	0	128	130	131	2	0	1
128	0.000	0.000	0.006	0.000	0.000	0.000	30	1.2	0	14.2	77	119	196	3	0	148	154	155	13	0	2
124	0.008	0.000	0.004	0.000	0.000	0.000	46	1.0	0	9.3	92	63	155	6	0	133	133	134	7	1	1
124	0.006	0.000	0.006	0.000	0.000	0.000	45	0.9	0	9.2	91	60	151	5	0	133	132	134	5	1	1
126	0.007	0.000	0.003	0.000	0.000	0.000	48	0.7	0	6.4	37	118	155	2	0	133	135	135	6	0	1
126	0.005	0.000	0.003	0.000	0.000	0.000	49	0.7	0	9.7	90	63	153	2	0	133	133	134	4	1	1
124	0.010	0.000	0.007	0.001	0.000	0.000	34	1.0	0	3.1	42	106	148	1	0	126	130	130	7	0	1
124	0.013	0.000	0.006	0.000	0.000	0.000	34	1.0	0	0.9	39	110	149	3	0	129	130	131	5	0	1
123	0.002	0.000	0.001	0.000	0.000	0.000	41	1.1	14	13.4	87	58	145	11	1	127	126	127	4	1	1
123	0.000	0.000	0.000	0.000	0.000	0.000	32	1.1	0	16.9	76	66	142	3	0	125	125	125	4	1	1
123	0.000	0.000	0.000	0.000	0.000	0.000	44	0.8	34	6.3	82	59	141	4	0	127	126	128	0	1	1
123	0.003	0.000	0.002	0.000	0.000	0.000	37	0.9	0	12.8	79	66	145	2	0	125	127	127	4	1	1
123	0.000	0.000	0.000	0.000	0.000	0.000	41	0.9	23	10.6	83	59	142	4	0	127	125	127	2	1	1
123	0.001	0.000	0.004	0.000	0.000	0.000	54	0.5	9	8.4	29	116	145	4	0	126	128	129	3	0	1
123	0.000	0.000	0.003	0.000	0.000	0.000	50	0.5	8	7.6	21	116	137	1	0	126	126	127	1	0	1
120	0.004	0.000	0.009	0.002	0.000	0.000	50	1.6	7	8.1	118	53	171	7	2	125	126	127	14	0	1
120	0.005	0.000	0.010	0.000	0.000	0.000	56	0.9	13	8.7	130	55	185	10	0	125	128	130	8	0	1
118	0.005	0.000	0.010	0.003	0.000	0.000	41	2.5	0	5.8	119	52	171	6	0	123	122	124	19	0	1
133	0.002	0.010	0.003	0.002	0.000	0.000	46	1.1	0	15.4	69	95	164	5	0	139	135	138	9	0	1
133	0.000	0.003	0.000	0.000	0.000	0.000	45	0.9	0	17.9	38	121	159	3	0	133	135	136	5	0	1
128	0.007	0.003	0.003	0.000	0.000	0.000	44	1.1	0	7.6	58	112	170	6	0	137	136	137	5	0	1
143	0.000	0.004	0.000	0.000	0.000	0.000	67	0.4	34	7.5	27	129	156	3	0	151	146	149	3	1	2
143	0.000	0.002	0.000	0.000	0.000	0.000	74	0.3	54	4.9	23	131	154	3	0	151	150	151	0	1	2
144	0.000	0.007	0.000	0.000	0.000	0.000	61	0.5	7	9.5	39	125	164	3	0	144	143	144	1	0	2
144	0.000	0.009	0.000	0.000	0.000	0.000	58	0.6	1	8.8	39	125	164	3	0	143	142	144	1	0	1
144	0.000	0.002	0.000	0.000	0.000	0.000	75	0.3	58	4.0	10	144	154	2	0	151	150	152	0	1	2
144	0.000	0.005	0.000	0.000	0.000	0.000	65	0.4	21	8.6	27	129	156	2	0	150	146	148	3	1	2
142	0.000	0.006	0.000	0.000	0.000	0.000	61	0.7	52	12.2	79	71	150	12	0	143	142	144	3	1	2
142	0.000	0.013	0.000	0.000	0.000	0.000	51	1.2	5	19.7	119	56	175	12	0	141	141	143	5	1	1
142	0.000	0.005	0.000	0.000	0.000	0.000	57	0.8	32	14.5	100	56	156	10	0	144	142	144	3	1	1
146	0.000	0.013	0.000	0.000	0.000	0.000	66	0.5	38	12.8	114	74	188	6	0	147	146	148	2	0	2
146	0.000	0.018	0.000	0.000	0.000	0.000	74	0.5	59	13.4	111	74	185	4	0	147	147	148	2	0	2
148	0.000	0.015	0.000	0.000	0.000	0.000	74	0.2	78	3.6	14	139	153	0	0	148	148	149	0	0	3
148	0.000	0.012	0.000	0.000	0.000	0.000	75	0.2	84	2.9	7	145	152	1	0	148	148	149	0	0	3
148	0.000	0.019	0.000	0.000	0.000	0.000	70	0.3	71	3.8	14	139	153	1	0	150	148	150	0	1	3
148	0.000	0.025	0.000	0.000	0.000	0.000	72	0.3	59	4.3	14	139	153	1	0	150	148	150	0	1	2
144	0.000	0.012	0.000	0.000	0.000	0.000	75	0.2	52	5.6	16	136	152	1	0	145	144	146	0	0	2
144	0.000	0.006	0.000	0.000	0.000	0.000	77	0.2	62	3.8	12	138	150	2	0	144	144	146	0	0	2
144	0.000	0.020	0.000	0.000	0.000	0.000	71	0.3	24	6.8	19	133	152	1	0	145	144	146	0	0	2
145	0.000	0.018	0.000	0.000	0.000	0.000	75	0.3	39	7.8	54	131	185	3	0	145	144	146	0	-1	2
145	0.000	0.020	0.000	0.000	0.000	0.000	77	0.2	45	5.8	21	129	150	1	0	146	145	147	0	1	2
145	0.000	0.021	0.000	0.000	0.000	0.000	74	0.3	30	8.5	54	131	185	2	0	145	144	146	1	-1	2
145	0.000	0.020	0.000	0.000	0.000	0.000	77	0.2	45	5.8	21	129	150	1	0	146	145	147	0	1	2
132	0.000	0.005	0.000	0.000	0.000	0.000	61	0.4	35	5.7	18	126	144	1	0	134	135	136	0	0	2
141	0.000	0.007	0.000	0.000	0.000	0.000	71	0.4	67	10.8	78	69	147	2	0	144	142	144	2	1	2
141	0.000	0.003	0.000	0.000	0.000	0.000	77	0.3	72	3.2	9	138	147	1	0	144	143	145	0	1	3
146	0.000	0.006	0.000	0.000	0.000	0.000	69	0.5	45	11.0	42	117	159	6	0	153	150	152	3	1	2
146	0.000	0.004	0.000	0.000	0.000	0.000	76	0.3	58	4.4	18	135	153	2	0	150	149	151	0	1	2
146	0.000	0.007	0.000	0.000	0.000	0.000	65	0.5	32	9.5	33	133	166	4	0	153	151	154	1	0	2
146	0.000	0.014	0.000	0.000	0.000	0.000	72	0.3	41	6.9	35	120	155	4	0	147	146	148	0	1	2
146	0.000	0.006	0.000	0.000	0.000	0.000	77	0.3	61	5.7	29	120	149	4	0	147	146	147	0	1	2
146	0.000	0.021	0.000	0.000	0.000	0.000	68	0.3	23	7.2	20	136	156	1	0	147	147	148	1	0	2
150	0.000	0.022	0.000	0.000	0.000	0.000	74	0.3	56	6.4	25	131	156	4	0	150	150	151	0	1	2
150	0.000	0.025	0.000	0.000	0.000	0.000	79	0.2	84	2.8	5	147	152	1	0	150	149	151	0	0	3
144	0.000	0.022	0.000	0.000	0.000	0.000	74	0.3	56	6.4	25	131	156	4	0	150	150	151	0	1	2
150	0.000	0.024	0.000	0.000	0.000	0.000	79	0.2	84	2.8	5	147	152	1	0	150	149	151	0	0	3
150	0.000	0.028	0.000	0.000	0.000	0.000	71	0.4	18	7.9	17	139	156	0	0	151	151	152	0	1	3
150	0.000	0.016	0.000	0.000	0.000	0.000	73	0.3	44	7.3	26	128	154	3	0	150	149	151	0	1	2
135	0.000	0.001	0.000	0.000	0.000	0.000	56	1.0	39	16.4	89	67	156	8	0	143	140	142	6	1	2
135	0.000	0.000	0.000	0.000	0.000	0.000	62	0.5	71	6.9	97	71	168	3	0	143	142	144	1	1	3
135	0.000	0.000	0.000	0.000	0.000	0.000	62	0.5	71	6.9	97	71	168	3	0	143	142	144	1	1	3
135	0.002	0.015	0.000	0.000	0.000	0.000	54	1.0	10	16.7	132	66	198	10	0	150	143	146	12	0	2
144	0.000	0.019	0.000	0.000	0.000	0.000	76	0.4	61	10.6	81	71	152	3	0	145	144	146	2	1	2
144	0.000	0.024	0.000	0.000	0.000	0.000	75	0.3	67	4.2	16	136	152	2	0	145	146	147	0	0	2
146	0.000	0.000	0.000	0.000	0.000	0.000	84	0.2	81	2.9	10	140	150	1	0	146	145	147	0	0	3
146	0.000	0.006	0.000	0.000	0.000	0.000	77	0.2	42	4.6	12	137	149	1	0	142	142	143	0	0	2
146	0.000	0.004	0.000	0.000	0.000	0.000	78	0.2	57	4.3	12	137	149	1	0	144	143	145	0	0	2
146	0.000	0.004	0.000	0.000	0.000	0.000	79	0.2	56	4.3	12	137	149	1	0	144	143	145	0	0	2
146	0.000	0.009	0.000	0.000	0.000	0.000	77	0.3	20	4.8	12	137	149	0	0	142	143	145	0	0	2
144	0.000	0.019	0.000	0.000	0.000	0.000	76	0.4	61	10.6	81	71	152	3	0	145	144	146	2	1	2
144	0.000	0.011	0.000	0.000	0.000	0.000	79	0.3	77	7.9	80	71	151	2	0	145	144	146	1	1	3
146	0.000	0.003	0.000	0.000	0.000	0.000	81	0.2	67	3.9	13	137	150	1	0	146	144	146	1	0	3
137	0.000	0.016	0.000	0.000	0.000	0.000	64	0.5	12	10.9	85	68	153	2	0	143	142	143	3	1	2
137	0.000	0.019	0.000	0.000	0.000	0.000	64	0.4	12	8.6	22	131	153	1	0	145	143	145	1	0	2
137	0.000	0.021	0.000	0.000	0.000	0.000	65	0.4	11	8.1	20	133	153	1	0	145	144	146	1	0	2
133	0.000	0.000	0.000	0.000	0.000	0.000	73	0.2	88	3.3	8	131	139	1	0	133	134	135	0	0	3
133	0.000	0.000	0.000	0.000	0.000	0.000	75	0.2	91	2.9	7	131	138	1	0	133	134	135	0	0	3
133	0.000	0.000	0.000	0.000	0.000	0.000	73	0.3	78	3.6	8	131	139	1	0	134	134	135	0	0	3
133	0.000	0.000	0.000	0.000	0.000	0.000	73	0.3	84	3.5	8	131	139	1	0	134	134	135	0	0	3
139	0.000	0.005	0.000	0.000	0.000	0.000	75	0.4	47	9.2	79	66	145	6	0	140	139	141	2	1	2
139	0.000	0.002	0.000	0.000	0.000	0.000	77	0.2	41	5.3	17	128	145	1	1	142	141	143	0	1	2
139	0.000	0.007	0.000	0.000	0.000	0.000	78	0.2	59	4.2	11	133	144	1	0	140	139	141	0	0	2
139	0.000	0.007	0.000	0.000	0.000	0.000	77	0.2	55	4.3	11	133	144	1	0	140	139	141	0	0	2
139	0.000	0.003	0.000	0.000	0.000	0.000	76	0.3	12	6.1	17	128	145	1	1	140	140	141	0	1	2
141	0.000	0.010	0.001	0.000	0.000	0.000	78	0.2	61	4.7	13	133	146	1	0	143	141	143	0	1	2
141	0.000	0.019	0.002	0.000	0.000	0.000	78	0.2	49	4.8	10	136	146	1	0	142	141	143	0	0	2
141	0.000	0.008	0.000	0.000	0.000	0.000	75	0.3	49	4.6	9	136	145	1	0	143	141	143	0	1	2
140	0.000	0.019	0.000	0.000	0.000	0.000	77	0.2	82	3.7	8	136	144	1	0	141	140	142	0	0	3
140	0.000	0.022	0.000	0.000	0.000	0.000	78	0.2	86	3.4	8	136	144	1	0	141	140	141	0	0	3
140	0.000	0.002	0.000	0.000	0.000	0.000	69	0.3	21	8.3	22	129	151	2	0	141	141	142	1	0	2
140	0.000	0.006	0.000	0.003	0.000	0.000	67	0.4	25	7.1	25	122	147	1	0	142	138	141	4	1	2
140	0.000	0.007	0.000	0.005	0.000	0.000	61	0.9	16	12.4	129	64	193	9	1	142	138	141	11	0	2
130	0.000	0.009	0.000	0.000	0.000	0.000	59	0.5	15	9.8	53	95	148	4	0	142	138	142	4	1	2
130	0.002	0.009	0.000	0.000	0.000	0.000	46	1.2	0	16.2	95	60	155	8	0	136	133	135	8	1	1
133	0.000	0.009	0.003	0.000	0.000	0.000	60	0.5	14	11.4	80	68	148	4	0	137	136	138	2	1	2
133	0.000	0.009	0.002	0.000	0.000	0.000	54	0.6	0	13.6	80	68	148	2	0	137	138	139	2	1	1
133	0.000	0.009	0.003	0.000	0.000	0.000	64	0.4	25	6.4	15	129	144	2	0	136	135	137	0	0	2
133	0.000	0.011	0.004	0.000	0.000	0.000	69	0.3	29	5.6	12	129	141	1	0	137	135	137	0	0	2
135	0.000	0.013	0.002	0.000	0.000	0.000	67	0.3	67	5.5	28	116	144	4	0	136	135	137	0	1	2
135	0.000	0.013	0.001	0.000	0.000	0.000	69	0.3	78	3.9	9	132	141	1	0	136	136	137	0	0	3
135	0.000	0.016	0.002	0.000	0.000	0.000	70	0.3	84	3.5	9	132	141	1	0	136	136	137	0	0	3
135	0.000	0.006	0.003	0.000	0.000	0.000	61	0.5	21	9.5	36	108	144	5	0	138	135	137	3	1	2
135	0.000	0.019	0.002	0.000	0.000	0.000	63	0.4	60	4.0	8	133	141	1	0	136	136	137	0	0	2
135	0.000	0.013	0.002	0.000	0.000	0.000	65	0.4	68	5.0	25	116	141	3	0	136	135	137	0	1	2
133	0.000	0.008	0.003	0.000	0.000	0.000	61	0.5	4	7.8	16	128	144	1	0	135	135	136	0	0	2
138	0.000	0.008	0.001	0.002	0.000	0.000	64	0.4	30	7.0	41	118	159	2	0	144	143	145	5	0	2
138	0.000	0.002	0.000	0.000	0.000	0.000	68	0.3	21	7.2	22	128	150	1	0	144	142	144	1	1	2
138	0.000	0.009	0.002	0.002	0.000	0.000	55	0.7	0	9.3	48	103	151	4	0	144	140	143	5	1	1
138	0.000	0.012	0.002	0.002	0.000	0.000	60	0.5	32	6.8	56	103	159	4	0	151	144	145	9	1	2
138	0.000	0.001	0.000	0.001	0.000	0.000	66	0.4	20	6.8	33	117	150	2	0	144	141	144	2	1	2
138	0.000	0.009	0.002	0.002	0.000	0.000	60	0.5	9	8.7	47	103	150	3	0	144	140	144	4	1	2
141	0.000	0.017	0.002	0.002	0.000	0.000	60	0.4	41	5.6	38	121	159	3	0	154	149	154	8	1	2
141	0.005	0.023	0.002	0.001	0.000	0.000	53	1.0	28	5.2	123	57	180	13	0	154	149	154	10	1	2
141	0.009	0.023	0.000	0.000	0.000	0.000	46	1.1	2	2.9	114	58	172	7	0	154	149	152	8	1	1
141	0.001	0.020	0.001	0.001	0.000	0.000	59	0.5	38	6.1	38	121	159	3	0	154	149	154	8	1	2
141	0.001	0.020	0.001	0.001	0.000	0.000	56	0.5	17	7.4	51	121	172	4	0	154	148	152	7	0	2
141	0.008	0.024	0.002	0.002	0.000	0.000	50	0.9	1	4.3	114	58	172	7	0	148	147	151	7	1	1
129	0.009	0.035	0.003	0.000	0.000	0.000	41	1.1	0	2.9	135	65	200	4	1	133	147	142	60	0	1
131	0.012	0.054	0.003	0.000	0.000	0.000	37	1.4	0	3.7	135	65	200	5	1	139	154	148	70	0	1
131	0.006	0.030	0.000	0.000	0.000	0.000	44	0.8	0	4.6	65	125	190	1	0	137	146	140	38	-1	1
133	0.005	0.005	0.000	0.000	0.000	0.000	48	0.7	0	6.3	28	125	153	1	0	135	137	137	2	0	1
129	0.009	0.048	0.003	0.001	0.000	0.000	36	1.5	0	17.9	134	61	195	11	2	186	154	147	157	0	1
129	0.011	0.088	0.005	0.000	0.000	0.000	36	1.5	0	0.0	99	99	198	3	1	186	163	169	106	1	1
129	0.011	0.030	0.003	0.000	0.000	0.000	37	1.2	0	8.6	102	93	195	8	0	187	157	153	137	0	1
129	0.006	0.006	0.000	0.000	0.000	0.000	39	1.1	0	11.7	105	55	160	3	2	127	136	137	21	1	1
129	0.008	0.054	0.002	0.000	0.000	0.000	37	1.3	0	12.1	140	55	195	7	4	186	151	144	177	0	1
129	0.010	0.043	0.003	0.000	0.000	0.000	36	1.4	0	9.4	140	55	195	5	3	143	148	143	52	0	1
143	0.000	0.000	0.001	0.000	0.000	0.000	59	0.5	29	9.8	37	120	157	5	1	146	146	147	2	1	1
143	0.000	0.000	0.000	0.000	0.000	0.000	70	0.3	49	5.3	13	137	150	1	0	146	144	146	0	0	2
143	0.000	0.000	0.002	0.000	0.000	0.000	46	0.9	0	11.8	116	68	184	5	1	150	147	149	4	1	1
143	0.000	0.000	0.001	0.000	0.000	0.000	56	0.6	12	12.2	116	68	184	5	1	145	145	147	3	1	1
143	0.000	0.000	0.001	0.000	0.000	0.000	63	0.5	35	9.9	37	120	157	5	1	146	145	146	2	1	2
143	0.000	0.000	0.002	0.000	0.000	0.000	51	0.8	9	13.1	116	68	184	6	1	145	147	148	3	1	1
148	0.000	0.000	0.000	0.000	0.000	0.000	65	0.4	20	6.7	21	141	162	1	0	157	155	157	1	1	2
148	0.000	0.000	0.000	0.000	0.000	0.000	65	0.4	21	6.5	17	145	162	0	0	156	155	157	0	0	2
150	0.002	0.000	0.000	0.003	0.000	0.000	47	1.4	10	12.1	145	52	197	8	0	159	154	157	13	1	2
150	0.000	0.000	0.000	0.000	0.000	0.000	53	0.5	62	4.5	14	151	165	0	0	161	159	161	1	0	2
150	0.000	0.000	0.000	0.003	0.000	0.000	47	1.1	15	7.1	136	61	197	5	0	159	154	157	8	1	1
151	0.000	0.000	0.000	0.000	0.000	0.000	48	0.6	68	4.0	8	154	162	0	0	159	158	160	0	0	2
151	0.000	0.000	0.000	0.000	0.000	0.000	47	0.7	70	3.9	8	154	162	0	0	159	158	160	0	0	3
150	0.000	0.000	0.000	0.003	0.000	0.000	73	0.9	47	4.8	148	51	199	8	0	154	150	155	29	1	2
150	0.000	0.000	0.000	0.005	0.000	0.000	70	1.4	48	4.4	149	51	200	10	0	154	147	155	54	1	2
150	0.000	0.000	0.000	0.000	0.000	0.000	78	0.2	51	4.8	11	146	157	1	0	154	153	155	0	1	2
150	0.000	0.000	0.000	0.000	0.000	0.000	76	0.3	31	5.4	11	146	157	1	0	154	153	155	0	1	2
150	0.000	0.000	0.000	0.001	0.000	0.000	76	0.2	43	5.2	35	123	158	1	0	154	153	155	1	1	2
150	0.000	0.000	0.000	0.000	0.000	0.000	78	0.2	50	4.8	12	146	158	0	0	154	154	155	0	1	2
147	0.000	0.000	0.001	0.000	0.000	0.000	66	0.4	16	7.4	80	74	154	1	0	148	146	148	1	1	2
147	0.000	0.000	0.002	0.002	0.000	0.000	71	0.3	17	5.8	15	139	154	0	0	143	145	146	1	0	2
147	0.000	0.000	0.000	0.000	0.000	0.000	60	0.4	12	5.5	10	144	154	0	0	150	149	150	0	0	2
147	0.000	0.000	0.000	0.000	0.000	0.000	63	0.4	12	8.1	80	74	154	1	0	148	147	149	1	1	1
135	0.002	0.000	0.001	0.000	0.000	0.000	59	0.6	4	9.3	118	70	188	3	0	140	140	141	3	0	1
135	0.000	0.000	0.000	0.000	0.000	0.000	55	0.6	0	7.4	21	131	152	2	0	135	139	141	4	0	1
135	0.002	0.000	0.000	0.000	0.000	0.000	63	0.5	8	5.4	33	133	166	1	0	141	142	143	1	-1	2
137	0.001	0.000	0.001	0.000	0.000	0.000	68	0.4	47	5.8	65	135	200	3	0	143	143	144	1	-1	2
137	0.000	0.000	0.000	0.000	0.000	0.000	74	0.3	71	4.0	13	135	148	1	0	140	141	142	1	0	3
137	0.002	0.000	0.002	0.000	0.000	0.000	63	0.5	9	7.8	75	125	200	4	0	146	144	146	2	-1	2
137	0.001	0.000	0.000	0.000	0.000	0.000	70	0.4	48	4.7	66	134	200	3	0	140	142	143	3	-1	2
143	0.000	0.000	0.003	0.000	0.000	0.000	65	0.6	14	13.3	38	120	158	5	0	145	145	146	2	0	2
143	0.000	0.000	0.003	0.000	0.000	0.000	64	0.6	26	11.6	85	73	158	7	1	146	145	147	2	1	2
143	0.000	0.000	0.002	0.000	0.000	0.000	65	0.5	0	9.2	23	129	152	2	1	143	143	145	1	0	2
143	0.000	0.000	0.002	0.000	0.000	0.000	65	0.6	7	12.9	29	129	158	4	1	150	145	146	5	0	2
156	0.000	0.002	0.005	0.000	0.000	0.000	53	0.6	6	10.8	27	141	168	2	1	163	159	161	2	1	1
156	0.000	0.001	0.005	0.000	0.000	0.000	53	0.8	3	19.7	91	102	193	3	0	161	159	161	3	0	1
120	0.013	0.006	0.003	0.000	0.000	0.000	40	1.3	0	7.1	89	68	157	5	1	133	134	136	9	1	1
121	0.012	0.009	0.001	0.000	0.000	0.000	39	1.3	0	6.6	98	102	200	7	1	133	131	132	8	-1	1
121	0.011	0.007	0.001	0.000	0.000	0.000	39	1.3	0	6.9	132	68	200	8	1	133	132	134	8	0	1
121	0.011	0.005	0.002	0.000	0.000	0.000	39	1.2	0	7.5	86	68	154	7	1	133	133	135	8	1	1
125	0.008	0.000	0.000	0.000	0.000	0.000	41	1.2	0	11.4	63	98	161	4	0	138	135	137	6	0	1
125	0.011	0.000	0.000	0.000	0.000	0.000	37	1.6	0	12.2	126	68	194	3	1	127	133	134	12	0	1
125	0.007	0.000	0.000	0.000	0.000	0.000	44	0.9	0	7.7	38	118	156	3	0	138	137	139	3	0	1
151	0.000	0.000	0.006	0.006	0.000	0.000	63	1.3	21	8.2	150	50	200	8	3	156	149	156	44	1	2
151	0.000	0.000	0.008	0.005	0.000	0.000	60	0.9	17	3.4	124	50	174	8	0	156	148	155	37	1	2
151	0.000	0.000	0.006	0.006	0.000	0.000	64	1.1	26	3.0	150	50	200	11	2	156	150	156	38	1	2
151	0.000	0.000	0.008	0.005	0.000	0.000	61	1.3	15	10.5	150	50	200	8	1	156	148	155	42	1	2
151	0.000	0.000	0.006	0.004	0.000	0.000	57	2.6	16	28.4	149	51	200	12	8	156	150	157	56	1	2
151	0.000	0.000	0.006	0.006	0.000	0.000	53	2.9	3	21.4	149	51	200	11	7	156	147	155	75	1	2
142	0.001	0.003	0.001	0.002	0.000	0.000	55	1.3	10	15.5	115	52	167	12	3	148	143	147	17	1	1
142	0.001	0.003	0.001	0.002	0.000	0.000	55	1.3	10	10.0	115	52	167	15	3	148	142	147	20	1	1
144	0.000	0.003	0.000	0.001	0.000	0.000	60	0.6	7	8.5	110	57	167	3	0	144	149	149	10	1	2
144	0.000	0.003	0.000	0.000	0.000	0.000	61	0.4	8	6.7	16	140	156	0	0	148	147	149	0	0	2
144	0.000	0.003	0.000	0.000	0.000	0.000	58	0.5	5	7.8	26	141	167	1	0	147	151	151	6	-1	2
142	0.000	0.004	0.000	0.000	0.000	0.000	68	0.3	39	6.7	15	136	151	1	0	142	142	143	0	0	2
142	0.000	0.006	0.000	0.000	0.000	0.000	69	0.3	39	6.5	14	137	151	1	0	142	142	143	0	0	2
142	0.000	0.004	0.000	0.000	0.000	0.000	68	0.3	38	6.7	15	136	151	1	0	142	142	143	0	0	2
135	0.004	0.003	0.000	0.000	0.000	0.000	59	0.5	13	6.6	95	70	165	5	0	142	141	143	2	1	1
135	0.001	0.002	0.000	0.000	0.000	0.000	58	0.6	15	8.0	95	70	165	5	0	139	140	141	2	1	1
135	0.000	0.003	0.000	0.000	0.000	0.000	59	0.5	16	8.5	40	113	153	4	0	139	139	140	1	0	1
135	0.007	0.003	0.000	0.000	0.000	0.000	58	0.6	3	3.9	95	70	165	5	0	142	143	144	2	1	1
127	0.010	0.006	0.004	0.000	0.000	0.000	43	1.9	0	18.5	124	60	184	10	0	133	137	138	16	0	1
133	0.000	0.003	0.002	0.000	0.000	0.000	55	0.5	16	9.2	22	125	147	1	0	137	136	137	1	0	1
133	0.000	0.003	0.003	0.000	0.000	0.000	58	0.5	17	8.9	22	125	147	2	0	136	136	137	1	0	1
133	0.000	0.004	0.001	0.000	0.000	0.000	53	0.6	13	9.9	22	125	147	2	0	137	136	137	1	0	1
131	0.007	0.054	0.005	0.001	0.000	0.000	34	2.2	0	19.0	107	52	159	2	0	133	135	137	22	1	1
141	0.006	0.000	0.001	0.000	0.000	0.000	42	1.8	0	15.5	116	70	186	8	1	153	151	152	14	1	1
141	0.004	0.000	0.000	0.000	0.000	0.000	45	1.1	0	16.1	100	70	170	1	0	153	151	152	7	1	1
141	0.008	0.000	0.002	0.000	0.000	0.000	46	0.8	4	10.2	98	69	167	3	0	143	146	146	6	1	1
120	0.003	0.002	0.002	0.000	0.000	0.000	62	0.4	13	7.9	35	106	141	2	0	120	122	122	3	0	1
120	0.000	0.002	0.000	0.000	0.000	0.000	69	0.3	21	7.0	19	114	133	2	0	120	120	121	0	-1	2
120	0.004	0.001	0.003	0.000	0.000	0.000	56	0.5	0	8.8	35	106	141	1	0	125	125	126	3	0	1
120	0.006	0.001	0.001	0.000	0.000	0.000	51	1.3	3	11.1	113	59	172	16	1	117	127	129	23	0	1
120	0.003	0.000	0.002	0.000	0.000	0.000	53	0.8	3	10.1	93	71	164	7	0	117	127	128	21	0	1
144	0.000	0.002	0.001	0.001	0.000	0.000	78	0.6	23	11.0	126	74	200	5	0	146	145	147	3	0	2
144	0.000	0.001	0.001	0.000	0.000	0.000	83	0.3	31	5.8	38	132	170	2	0	144	144	145	0	-1	3
144	0.000	0.002	0.002	0.000	0.000	0.000	84	0.3	31	5.7	38	132	170	2	0	144	143	145	0	-1	3
144	0.000	0.002	0.002	0.000	0.000	0.000	84	0.3	34	5.5	38	132	170	2	0	144	143	145	0	-1	3
151	0.000	0.002	0.000	0.000	0.000	0.000	81	0.4	28	6.6	34	130	164	2	0	152	152	153	1	0	3
151	0.000	0.002	0.000	0.000	0.000	0.000	81	0.4	29	6.4	30	130	160	2	0	152	151	153	1	1	3
150	0.000	0.004	0.000	0.000	0.000	0.000	82	0.4	38	5.2	12	148	160	0	0	152	154	155	1	0	3
150	0.000	0.000	0.001	0.000	0.000	0.000	81	0.4	17	7.1	44	130	174	2	0	152	150	151	1	0	3
150	0.000	0.003	0.000	0.000	0.000	0.000	80	0.4	24	8.5	52	124	176	1	0	150	152	153	2	0	3
150	0.000	0.001	0.000	0.000	0.000	0.000	84	0.3	32	6.2	20	136	156	0	0	150	150	151	1	1	3
150	0.000	0.002	0.000	0.000	0.000	0.000	84	0.3	37	5.2	16	140	156	0	0	150	150	151	0	0	3
145	0.000	0.000	0.001	0.001	0.000	0.000	62	0.5	8	10.1	87	70	157	1	1	148	145	148	4	1	2
145	0.000	0.000	0.000	0.000	0.000	0.000	66	0.4	9	7.7	22	135	157	1	0	148	148	149	0	0	2
145	0.000	0.000	0.001	0.001	0.000	0.000	60	0.5	5	7.5	46	111	157	1	1	148	146	148	4	1	2
145	0.000	0.000	0.000	0.002	0.000	0.000	57	0.5	0	7.3	46	111	157	1	1	150	146	149	6	1	1
140	0.000	0.000	0.001	0.000	0.000	0.000	60	0.8	32	11.2	120	79	199	9	0	141	141	142	3	0	2
140	0.000	0.000	0.000	0.000	0.000	0.000	64	0.5	37	7.6	76	84	160	5	0	141	140	142	1	1	2
139	0.002	0.007	0.000	0.000	0.000	0.000	55	0.8	8	8.9	63	127	190	7	1	144	146	147	4	-1	2
139	0.001	0.011	0.000	0.000	0.000	0.000	54	0.9	3	9.4	121	55	176	6	1	154	147	148	9	1	2
143	0.000	0.002	0.001	0.000	0.000	0.000	61	0.6	17	14.4	84	74	158	10	1	145	144	146	3	1	2
143	0.000	0.001	0.000	0.000	0.000	0.000	64	0.4	19	6.5	17	137	154	2	0	144	144	145	0	0	2
127	0.008	0.003	0.000	0.001	0.000	0.000	35	1.2	0	5.1	119	62	181	6	0	133	138	134	27	0	1
127	0.009	0.005	0.000	0.000	0.000	0.000	35	1.2	0	3.1	120	62	182	6	0	133	139	135	26	0	1
127	0.006	0.000	0.000	0.002	0.000	0.000	33	1.3	0	6.9	96	79	175	4	0	129	135	133	27	0	1
127	0.010	0.003	0.000	0.000	0.000	0.000	34	1.2	0	3.6	119	62	181	6	0	133	139	135	26	0	1
120	0.011	0.058	0.001	0.000	0.000	0.000	35	2.4	0	11.4	121	55	176	10	0	167	149	157	72	1	1
120	0.011	0.052	0.000	0.000	0.000	0.000	33	2.7	0	10.4	142	51	193	9	0	167	148	156	76	1	1
120	0.012	0.085	0.001	0.000	0.000	0.000	36	2.1	0	0.9	140	53	193	13	0	167	151	158	56	1	1
120	0.009	0.091	0.002	0.000	0.000	0.000	36	1.8	0	10.9	124	53	177	6	0	163	152	160	42	1	1
127	0.014	0.026	0.002	0.000	0.000	0.000	35	2.2	0	5.7	113	61	174	13	1	133	143	143	39	1	1
127	0.011	0.033	0.002	0.000	0.000	0.000	38	1.4	0	7.2	113	61	174	6	1	129	144	141	45	1	1
130	0.014	0.092	0.001	0.000	0.000	0.000	32	2.4	0	9.5	120	50	170	10	0	159	150	155	27	1	1
130	0.016	0.084	0.002	0.000	0.000	0.000	34	2.1	0	3.0	132	50	182	8	0	159	151	155	25	1	1
130	0.015	0.115	0.000	0.000	0.000	0.000	31	2.6	0	14.0	120	50	170	12	0	157	151	156	24	1	1
130	0.014	0.084	0.001	0.000	0.000	0.000	34	2.1	0	5.6	132	50	182	10	0	159	150	155	26	1	1
131	0.014	0.015	0.001	0.000	0.000	0.000	29	3.7	0	4.8	120	51	171	11	1	150	144	151	33	1	1
131	0.015	0.017	0.001	0.000	0.000	0.000	31	3.2	0	7.1	133	53	186	10	1	150	144	149	25	1	1
130	0.008	0.013	0.004	0.000	0.000	0.000	36	1.9	0	20.5	118	54	172	6	0	154	148	154	26	1	1
130	0.008	0.014	0.006	0.000	0.000	0.000	34	2.1	0	17.2	118	52	170	5	0	159	146	151	39	1	1
128	0.008	0.014	0.004	0.000	0.000	0.000	40	1.1	0	12.7	123	59	182	7	0	129	139	136	25	0	1
128	0.006	0.015	0.004	0.000	0.000	0.000	39	1.2	0	12.8	123	59	182	8	0	129	138	135	25	0	1
157	0.008	0.003	0.002	0.000	0.000	0.000	49	0.7	0	4.9	39	153	192	0	0	163	166	166	6	-1	1
157	0.006	0.004	0.002	0.000	0.000	0.000	50	0.6	0	5.6	39	153	192	1	0	165	166	166	4	-1	1
157	0.009	0.004	0.001	0.000	0.000	0.000	48	0.7	0	5.3	39	153	192	1	0	163	167	166	6	-1	1
157	0.008	0.000	0.003	0.000	0.000	0.000	49	0.7	0	3.3	38	154	192	2	0	161	167	166	9	-1	1
154	0.006	0.002	0.003	0.000	0.000	0.000	48	0.7	0	7.4	66	123	189	3	2	161	164	164	8	0	1
154	0.007	0.001	0.002	0.000	0.000	0.000	45	0.8	0	3.5	47	142	189	2	1	161	166	165	10	0	1
154	0.003	0.003	0.003	0.000	0.000	0.000	56	0.6	1	9.2	31	140	171	1	0	161	160	162	2	1	1
154	0.003	0.000	0.000	0.000	0.000	0.000	56	0.6	0	5.4	26	153	179	1	1	161	161	162	1	-1	2
130	0.008	0.035	0.005	0.000	0.000	0.000	43	1.0	0	5.1	88	71	159	5	1	133	142	142	17	1	1
130	0.006	0.033	0.004	0.000	0.000	0.000	46	0.8	0	6.9	88	71	159	3	0	133	141	139	15	1	1
130	0.009	0.029	0.005	0.000	0.000	0.000	42	1.0	0	3.7	105	76	181	3	0	133	141	140	15	0	1
130	0.009	0.041	0.004	0.000	0.000	0.000	43	1.0	0	4.1	110	71	181	3	0	153	143	146	17	1	1
126	0.005	0.024	0.004	0.000	0.000	0.000	41	1.3	2	10.7	127	66	193	9	0	129	133	133	11	0	1
126	0.008	0.040	0.005	0.000	0.000	0.000	42	1.5	0	7.8	147	51	198	9	0	133	136	134	13	0	1
126	0.002	0.005	0.003	0.000	0.000	0.000	40	1.1	4	12.5	86	66	152	3	0	129	129	131	3	1	1
126	0.000	0.000	0.000	0.000	0.000	0.000	40	1.1	5	10.1	27	120	147	1	1	129	129	130	1	0	1
158	0.008	0.027	0.002	0.000	0.000	0.000	41	0.9	0	13.2	47	151	198	4	0	186	178	180	15	0	1
158	0.010	0.029	0.003	0.000	0.000	0.000	41	0.8	0	0.0	45	153	198	2	0	186	180	183	11	1	1
158	0.010	0.031	0.003	0.000	0.000	0.000	40	0.9	0	0.0	40	158	198	1	0	186	182	186	9	1	1
158	0.012	0.026	0.000	0.000	0.000	0.000	42	0.9	0	2.8	43	151	194	2	0	180	175	178	10	0	1
142	0.015	0.063	0.002	0.001	0.000	0.000	36	1.9	0	2.5	148	51	199	12	0	180	164	171	53	1	1
142	0.014	0.060	0.003	0.000	0.000	0.000	38	1.3	0	0.0	62	127	189	8	0	180	171	176	22	1	1
142	0.013	0.050	0.002	0.000	0.000	0.000	38	1.1	0	0.0	76	112	188	2	0	176	173	176	11	1	1
142	0.019	0.085	0.000	0.000	0.000	0.000	32	2.3	0	0.0	144	56	200	10	0	170	158	162	37	1	1
142	0.016	0.071	0.000	0.002	0.000	0.000	32	3.1	0	1.6	149	51	200	10	0	167	154	160	55	1	1
142	0.016	0.060	0.004	0.000	0.000	0.000	38	1.3	0	0.0	130	68	198	5	0	180	173	177	14	1	1
137	0.003	0.002	0.000	0.000	0.000	0.000	59	0.8	24	13.4	97	70	167	8	0	143	144	145	5	1	1
137	0.000	0.001	0.000	0.000	0.000	0.000	60	0.6	22	13.1	96	71	167	3	0	143	144	144	3	1	2
137	0.000	0.000	0.000	0.000	0.000	0.000	63	0.5	36	7.5	96	71	167	3	0	143	141	143	1	1	2
138	0.001	0.001	0.000	0.000	0.000	0.000	52	1.0	18	14.8	102	74	176	8	1	142	141	143	3	1	1
138	0.001	0.001	0.000	0.000	0.000	0.000	55	0.7	22	6.7	102	74	176	4	0	142	141	142	1	0	1
143	0.000	0.001	0.000	0.000	0.000	0.000	65	0.6	28	14.9	93	72	165	4	0	144	144	146	3	1	2
143	0.000	0.000	0.000	0.000	0.000	0.000	66	0.5	28	13.5	93	72	165	4	0	144	144	146	2	1	2
143	0.000	0.000	0.000	0.000	0.000	0.000	65	0.5	24	10.4	111	56	167	4	0	143	144	145	1	1	2
145	0.007	0.001	0.001	0.000	0.000	0.000	51	0.8	0	8.7	92	74	166	4	0	159	155	157	5	1	1
145	0.003	0.003	0.000	0.000	0.000	0.000	54	0.6	0	6.6	21	145	166	0	0	157	156	158	1	0	2
140	0.001	0.000	0.001	0.000	0.000	0.000	52	0.8	0	16.2	108	57	165	7	0	146	145	147	4	1	1
140	0.000	0.000	0.002	0.000	0.000	0.000	53	0.7	0	14.8	84	72	156	4	0	143	145	146	3	1	1
145	0.000	0.000	0.000	0.001	0.000	0.000	66	0.4	31	7.4	30	124	154	4	0	146	145	147	1	1	2
145	0.000	0.000	0.002	0.000	0.000	0.000	70	0.3	40	5.3	14	139	153	1	0	146	146	147	0	0	2
145	0.000	0.000	0.000	0.000	0.000	0.000	63	0.4	23	10.4	31	123	154	4	0	146	144	147	1	1	2
138	0.000	0.029	0.005	0.002	0.000	0.000	59	0.5	26	4.9	54	100	154	5	0	147	145	148	3	1	2
141	0.000	0.002	0.003	0.000	0.000	0.000	58	0.5	15	8.1	23	130	153	1	0	144	143	145	1	0	1
141	0.000	0.000	0.003	0.000	0.000	0.000	61	0.4	22	6.9	19	133	152	1	0	144	143	145	0	0	2
141	0.000	0.003	0.004	0.000	0.000	0.000	60	0.5	22	7.8	25	128	153	1	0	146	144	146	1	1	2
136	0.010	0.000	0.006	0.000	0.000	0.000	35	5.7	0	29.6	148	52	200	5	3	146	150	151	62	1	1
136	0.016	0.000	0.004	0.000	0.000	0.000	35	4.9	0	5.2	148	52	200	11	2	146	159	162	74	1	1
140	0.003	0.000	0.008	0.003	0.000	0.000	35	5.0	0	29.3	126	50	176	10	1	148	143	148	43	1	1
140	0.000	0.000	0.008	0.006	0.000	0.000	35	4.0	0	23.1	127	50	177	9	1	143	137	143	27	1	1
140	0.006	0.000	0.008	0.000	0.000	0.000	38	5.4	0	34.7	149	50	199	8	1	148	148	151	43	1	1
140	0.003	0.000	0.008	0.004	0.000	0.000	38	3.5	0	21.7	127	50	177	5	0	143	141	145	25	1	1
130	0.003	0.000	0.003	0.002	0.000	0.000	40	2.9	0	27.3	144	51	195	6	2	133	134	138	27	0	1
130	0.005	0.000	0.005	0.003	0.000	0.000	36	2.5	0	8.7	144	51	195	7	2	133	134	134	38	0	1
130	0.004	0.000	0.004	0.004	0.000	0.000	35	2.8	0	11.6	144	51	195	8	1	127	133	131	53	0	1
130	0.000	0.000	0.000	0.007	0.000	0.000	37	1.8	0	3.0	90	58	148	4	1	127	121	126	21	1	1
128	0.001	0.000	0.010	0.003	0.000	0.000	37	2.8	0	16.0	136	55	191	9	1	129	130	129	37	0	1
128	0.000	0.000	0.010	0.005	0.000	0.000	46	2.1	0	11.6	114	50	164	8	1	129	123	128	17	1	1
128	0.002	0.000	0.012	0.003	0.000	0.000	30	3.1	0	14.9	141	50	191	10	0	125	133	128	69	0	1
128	0.002	0.000	0.011	0.002	0.000	0.000	28	3.4	0	20.0	137	54	191	9	1	125	137	130	79	0	1
128	0.007	0.000	0.005	0.003	0.000	0.000	45	2.8	2	10.4	128	51	179	9	1	133	132	135	24	0	1
128	0.007	0.000	0.004	0.005	0.000	0.000	43	2.5	0	3.9	149	50	199	11	1	133	130	133	21	0	1
128	0.007	0.000	0.007	0.003	0.000	0.000	50	1.9	4	5.9	141	51	192	8	0	133	133	136	15	0	1
128	0.008	0.000	0.008	0.006	0.000	0.000	42	2.4	0	4.5	149	50	199	12	2	133	130	133	24	0	1
128	0.007	0.000	0.008	0.005	0.000	0.000	36	3.4	0	15.2	145	53	198	6	2	133	136	134	65	0	1
128	0.001	0.000	0.007	0.006	0.000	0.000	39	2.7	0	18.9	128	51	179	6	0	133	125	130	24	0	1
128	0.007	0.000	0.006	0.004	0.000	0.000	36	3.8	0	20.5	148	51	199	7	1	133	141	136	83	0	1
128	0.007	0.000	0.007	0.004	0.000	0.000	36	3.8	0	18.5	145	53	198	7	2	133	139	135	79	0	1
128	0.009	0.000	0.007	0.002	0.000	0.000	37	4.1	0	26.3	147	52	199	7	1	133	147	140	100	0	1
128	0.013	0.000	0.003	0.003	0.000	0.000	34	4.9	0	16.0	147	52	199	7	2	133	155	163	137	1	1
128	0.000	0.000	0.008	0.007	0.000	0.000	38	2.6	0	14.8	128	51	179	5	1	133	124	129	25	0	1
128	0.003	0.000	0.007	0.005	0.000	0.000	39	2.6	0	17.1	128	51	179	7	0	133	126	132	22	0	1
136	0.004	0.001	0.000	0.001	0.000	0.000	69	0.8	0	17.2	126	54	180	5	0	140	139	141	7	1	1
120	0.003	0.008	0.004	0.000	0.000	0.000	41	1.1	0	9.2	71	105	176	6	0	123	131	127	30	-1	1
120	0.000	0.000	0.003	0.000	0.000	0.000	45	0.8	0	11.2	27	109	136	2	0	123	124	126	2	0	1
120	0.003	0.000	0.003	0.000	0.000	0.000	37	1.1	0	9.6	25	112	137	1	0	127	127	129	2	0	1
120	0.003	0.008	0.004	0.000	0.000	0.000	41	1.1	0	9.9	67	105	172	4	0	123	127	126	16	-1	1
120	0.003	0.003	0.003	0.000	0.000	0.000	40	1.0	0	8.7	64	112	176	4	0	123	132	128	31	-1	1
120	0.003	0.006	0.004	0.000	0.000	0.000	42	1.0	0	9.4	67	109	176	7	0	123	131	127	31	-1	1
120	0.001	0.008	0.003	0.001	0.000	0.000	42	1.1	0	12.9	116	54	170	10	0	115	118	117	14	0	1
120	0.000	0.006	0.003	0.002	0.000	0.000	45	0.9	0	9.9	39	102	141	3	0	115	114	116	1	0	1
120	0.000	0.006	0.006	0.000	0.000	0.000	40	1.1	0	14.0	29	106	135	1	0	121	119	121	3	0	1
120	0.003	0.020	0.004	0.000	0.000	0.000	36	1.5	0	13.5	112	62	174	6	0	119	129	125	42	0	1
120	0.000	0.010	0.004	0.000	0.000	0.000	38	1.3	0	15.8	59	103	162	6	0	119	118	120	4	-1	1
120	0.000	0.005	0.003	0.000	0.000	0.000	38	1.3	0	16.0	59	103	162	4	0	119	120	121	4	-1	1
120	0.006	0.027	0.006	0.000	0.000	0.000	35	1.7	0	9.6	127	62	189	7	0	125	136	132	49	0	1
120	0.006	0.017	0.009	0.000	0.000	0.000	35	1.5	0	14.9	78	96	174	5	1	161	142	139	70	0	1
120	0.008	0.018	0.008	0.000	0.000	0.000	35	1.6	0	2.1	96	78	174	7	0	161	141	138	75	0	1
120	0.004	0.010	0.004	0.000	0.000	0.000	37	1.5	0	11.3	96	78	174	4	0	119	132	128	51	0	1
148	0.002	0.004	0.003	0.000	0.000	0.000	77	0.5	3	9.6	32	140	172	2	0	150	152	153	2	0	1
148	0.000	0.003	0.004	0.000	0.000	0.000	79	0.4	4	10.0	20	140	160	1	0	150	151	153	1	0	2
148	0.000	0.002	0.005	0.000	0.000	0.000	82	0.4	5	8.4	18	142	160	0	0	150	151	151	0	0	3
148	0.000	0.003	0.005	0.000	0.000	0.000	77	0.5	4	10.2	32	140	172	1	0	150	150	151	1	-1	3
148	0.000	0.004	0.005	0.000	0.000	0.000	78	0.5	4	10.0	32	140	172	1	0	150	150	151	1	-1	2
148	0.000	0.004	0.004	0.000	0.000	0.000	75	0.6	0	10.7	32	140	172	1	0	150	150	151	0	-1	2
144	0.006	0.008	0.002	0.001	0.000	0.000	73	0.6	0	9.3	94	82	176	4	0	156	154	155	5	1	1
144	0.002	0.010	0.002	0.000	0.000	0.000	76	0.6	0	11.8	54	126	180	2	0	156	153	155	5	0	2
144	0.010	0.007	0.001	0.001	0.000	0.000	71	0.8	0	2.7	94	82	176	3	0	156	154	155	6	1	1
144	0.008	0.007	0.001	0.001	0.000	0.000	73	0.7	0	5.2	98	82	180	3	0	156	154	157	5	1	1
144	0.005	0.001	0.000	0.000	0.000	0.000	67	0.9	0	9.7	98	72	170	4	0	146	147	149	4	1	1
147	0.008	0.009	0.003	0.000	0.000	0.000	71	0.7	0	9.5	82	116	198	2	0	156	158	159	10	0	1
147	0.005	0.014	0.003	0.000	0.000	0.000	67	0.8	0	10.9	72	120	192	1	0	156	157	157	11	0	1
148	0.008	0.005	0.004	0.000	0.000	0.000	73	0.7	0	9.9	82	116	198	2	0	158	159	159	11	0	1
144	0.006	0.006	0.003	0.000	0.000	0.000	34	1.6	0	19.8	104	71	175	4	1	148	149	151	11	1	1
144	0.010	0.010	0.002	0.000	0.000	0.000	36	1.4	0	11.5	119	57	176	2	1	148	150	150	12	1	1
144	0.002	0.002	0.002	0.000	0.000	0.000	35	1.8	0	24.7	118	56	174	6	1	151	148	151	12	1	1
144	0.006	0.005	0.002	0.000	0.000	0.000	33	1.7	0	21.5	103	71	174	5	1	150	149	151	10	1	1
143	0.005	0.013	0.003	0.000	0.000	0.000	39	1.6	0	10.0	136	60	196	9	1	148	149	150	8	0	1
146	0.009	0.003	0.001	0.000	0.000	0.000	41	1.9	0	27.3	130	50	180	7	0	154	152	155	18	1	1
146	0.011	0.001	0.001	0.000	0.000	0.000	40	1.9	0	25.6	122	50	172	4	0	154	151	155	16	1	1
146	0.009	0.006	0.002	0.000	0.000	0.000	40	2.0	0	26.1	133	50	183	8	0	156	154	157	20	1	1
146	0.015	0.025	0.002	0.000	0.000	0.000	41	1.0	0	1.4	113	73	186	3	0	157	162	164	13	1	1
142	0.000	0.001	0.002	0.000	0.000	0.000	30	2.9	5	36.9	108	50	158	1	0	141	140	144	9	1	1
142	0.000	0.003	0.000	0.000	0.000	0.000	40	1.1	12	10.8	97	57	154	2	0	148	144	147	4	1	1
142	0.008	0.009	0.003	0.000	0.000	0.000	45	1.1	2	8.7	131	51	182	5	0	146	153	152	19	1	1
142	0.013	0.013	0.004	0.000	0.000	0.000	45	1.2	0	4.5	134	51	185	5	0	156	158	158	14	1	1
142	0.000	0.002	0.002	0.000	0.000	0.000	43	0.8	3	9.4	27	137	164	2	0	146	145	146	1	-1	1
133	0.008	0.017	0.004	0.000	0.000	0.000	36	3.1	0	27.6	105	54	159	4	0	143	137	142	28	1	1
133	0.008	0.017	0.003	0.000	0.000	0.000	38	2.5	0	19.4	113	54	167	3	0	143	137	141	22	1	1
130	0.007	0.021	0.003	0.000	0.000	0.000	45	2.8	0	29.0	114	52	166	2	0	134	135	137	24	1	1
130	0.009	0.025	0.004	0.000	0.000	0.000	46	2.5	0	28.0	114	52	166	2	0	134	138	139	23	1	1
132	0.011	0.000	0.000	0.002	0.000	0.000	37	2.4	0	17.0	115	52	167	10	0	141	140	143	33	1	1
120	0.003	0.000	0.002	0.001	0.000	0.000	46	1.5	11	19.0	132	57	189	9	0	125	123	126	15	0	1
120	0.000	0.000	0.003	0.000	0.000	0.000	50	0.7	26	6.0	20	116	136	0	0	125	123	125	1	0	1
134	0.013	0.006	0.003	0.003	0.000	0.000	47	2.7	0	0.0	110	60	170	5	0	150	147	153	31	1	1
134	0.017	0.002	0.004	0.000	0.000	0.000	48	2.2	0	0.0	120	50	170	5	0	160	150	155	28	1	1
144	0.000	0.001	0.000	0.000	0.000	0.000	51	1.1	10	21.7	115	71	186	9	0	153	151	153	6	1	2
144	0.000	0.002	0.000	0.000	0.000	0.000	47	0.8	11	13.6	90	74	164	5	1	153	151	152	3	1	2
144	0.000	0.000	0.000	0.000	0.000	0.000	62	0.5	5	6.1	11	148	159	1	0	153	154	155	0	0	2
143	0.003	0.007	0.000	0.001	0.000	0.000	50	1.1	3	12.2	126	74	200	8	0	148	147	149	4	0	1
143	0.000	0.001	0.000	0.000	0.000	0.000	57	0.6	5	10.4	98	74	172	2	0	150	148	150	1	1	1
143	0.000	0.002	0.000	0.000	0.000	0.000	56	0.6	0	8.9	59	106	165	3	0	148	149	150	1	1	1
143	0.007	0.018	0.000	0.000	0.000	0.000	44	1.3	0	11.4	101	80	181	6	0	146	147	148	5	0	1
138	0.004	0.013	0.000	0.000	0.000	0.000	45	1.0	0	12.8	115	71	186	7	0	144	144	145	6	0	1
138	0.004	0.017	0.000	0.000	0.000	0.000	42	1.0	0	13.6	115	71	186	5	0	144	143	144	6	0	1
138	0.000	0.004	0.000	0.000	0.000	0.000	38	1.2	0	16.5	84	71	155	4	0	144	140	142	5	1	1
138	0.000	0.010	0.000	0.000	0.000	0.000	38	1.2	0	19.7	90	71	161	3	0	144	141	142	5	1	1
136	0.008	0.007	0.000	0.000	0.000	0.000	40	2.3	0	19.4	139	51	190	5	5	144	142	145	17	1	1
136	0.009	0.008	0.000	0.000	0.000	0.000	46	1.3	0	6.9	149	51	200	12	0	144	145	147	8	0	1
123	0.000	0.000	0.001	0.000	0.000	0.000	73	0.3	72	5.2	28	108	136	3	0	123	124	125	1	0	3
123	0.000	0.000	0.000	0.000	0.000	0.000	76	0.2	85	3.3	11	118	129	1	0	123	122	124	0	0	3
123	0.000	0.000	0.004	0.000	0.000	0.000	60	0.6	0	10.4	52	84	136	4	0	125	124	126	2	1	2
123	0.000	0.000	0.001	0.000	0.000	0.000	74	0.3	64	5.9	52	84	136	3	0	123	124	126	1	1	2
123	0.000	0.000	0.001	0.000	0.000	0.000	72	0.3	58	6.5	52	84	136	3	0	123	123	124	1	1	2
123	0.000	0.001	0.000	0.000	0.000	0.000	70	0.3	66	5.9	30	101	131	1	0	123	123	124	1	1	2
123	0.000	0.000	0.000	0.000	0.000	0.000	73	0.3	91	2.9	9	120	129	2	0	123	124	125	0	0	3
123	0.000	0.000	0.000	0.000	0.000	0.000	74	0.3	90	2.8	9	120	129	2	0	123	124	125	0	0	3
123	0.000	0.002	0.000	0.000	0.000	0.000	70	0.3	54	6.8	31	100	131	0	0	123	121	123	1	1	3
123	0.000	0.000	0.000	0.000	0.000	0.000	70	0.3	70	4.4	19	110	129	2	0	123	124	125	1	1	3
123	0.000	0.000	0.000	0.000	0.000	0.000	71	0.3	77	4.1	19	110	129	1	0	123	123	124	0	1	3
130	0.003	0.000	0.005	0.000	0.000	0.000	22	1.6	11	8.8	95	62	157	7	0	134	133	134	4	1	1
130	0.004	0.000	0.005	0.000	0.000	0.000	23	1.6	8	9.6	115	62	177	9	0	134	134	135	5	0	1
130	0.001	0.000	0.005	0.000	0.000	0.000	22	1.4	11	7.2	32	120	152	2	0	133	132	134	1	0	1
130	0.001	0.000	0.004	0.000	0.000	0.000	24	1.2	12	7.6	35	120	155	1	0	134	133	135	1	0	1
130	0.002	0.000	0.005	0.000	0.000	0.000	21	1.4	11	7.3	33	119	152	1	0	133	131	133	2	0	1
130	0.002	0.000	0.005	0.000	0.000	0.000	23	1.3	10	5.7	32	120	152	2	0	133	133	134	1	0	1
128	0.000	0.000	0.006	0.014	0.000	0.003	23	6.3	0	0.0	144	52	196	10	2	90	98	91	95	-1	2
138	0.000	0.001	0.005	0.001	0.000	0.002	57	1.4	10	8.9	132	60	192	9	1	142	127	138	75	0	2
138	0.000	0.000	0.005	0.001	0.000	0.003	57	1.3	11	10.2	132	60	192	11	1	140	126	137	75	0	2
138	0.000	0.003	0.003	0.000	0.000	0.002	60	1.0	8	7.5	118	69	187	10	1	142	130	140	61	0	2
138	0.000	0.000	0.005	0.000	0.000	0.002	61	1.0	12	10.0	118	69	187	12	1	140	130	140	55	0	2
138	0.000	0.005	0.003	0.000	0.000	0.000	62	0.5	9	8.1	27	121	148	1	0	142	140	142	1	1	2
138	0.000	0.000	0.005	0.000	0.000	0.000	65	0.4	14	7.0	20	129	149	3	0	141	140	142	1	0	2
138	0.000	0.000	0.006	0.002	0.000	0.002	58	1.1	15	6.9	132	60	192	8	2	141	132	141	47	0	2
141	0.001	0.000	0.001	0.003	0.000	0.000	54	0.9	7	9.5	124	60	184	12	2	150	139	147	49	1	1
141	0.001	0.000	0.001	0.004	0.000	0.000	56	0.9	12	8.5	136	60	196	8	2	150	137	147	68	0	1
141	0.000	0.000	0.000	0.003	0.000	0.000	47	0.8	0	9.7	54	103	157	6	1	154	144	147	15	1	1
141	0.002	0.000	0.002	0.000	0.000	0.000	62	0.5	14	7.8	34	125	159	1	0	150	146	149	2	1	2
140	0.012	0.002	0.002	0.000	0.000	0.000	57	1.3	0	3.4	138	50	188	5	0	176	163	167	35	1	1
140	0.010	0.000	0.001	0.000	0.000	0.000	57	1.3	0	9.9	138	50	188	4	0	176	164	169	31	1	1
140	0.014	0.003	0.000	0.000	0.000	0.000	55	1.4	0	0.0	138	50	188	3	0	150	164	167	40	1	1
140	0.010	0.000	0.000	0.000	0.000	0.000	59	1.1	0	0.0	62	120	182	1	0	176	163	169	30	1	1
140	0.013	0.000	0.000	0.000	0.000	0.000	56	1.4	0	0.0	138	50	188	3	0	176	163	167	35	1	1
140	0.010	0.000	0.000	0.000	0.000	0.000	58	1.2	0	4.2	126	62	188	4	0	176	164	169	27	1	1
142	0.001	0.001	0.004	0.000	0.000	0.000	50	1.2	0	23.8	104	58	162	8	0	148	144	147	8	1	1
142	0.001	0.001	0.003	0.000	0.000	0.000	54	0.6	0	11.0	52	120	172	3	0	148	145	147	2	0	1
140	0.003	0.003	0.004	0.000	0.000	0.000	34	2.9	0	40.8	114	66	180	9	2	147	145	148	22	1	1
132	0.000	0.306	0.004	0.004	0.000	0.004	35	2.7	0	0.0	145	54	199	9	2	75	90	78	104	-1	3
132	0.000	0.298	0.002	0.002	0.000	0.004	37	2.3	0	0.0	111	54	165	5	1	75	87	77	86	-1	3
133	0.003	0.139	0.007	0.002	0.000	0.000	27	1.5	0	14.8	70	88	158	1	0	140	135	138	10	1	1
133	0.005	0.189	0.007	0.002	0.000	0.000	26	1.6	0	12.9	87	71	158	2	0	141	135	139	13	1	1
133	0.000	0.014	0.005	0.000	0.000	0.000	29	1.3	0	15.6	34	113	147	1	0	134	134	136	3	0	1
133	0.005	0.157	0.008	0.003	0.000	0.000	26	1.6	0	14.2	70	88	158	2	0	140	135	139	12	1	1
133	0.007	0.235	0.007	0.002	0.000	0.000	28	1.6	0	9.7	87	71	158	2	0	141	137	141	11	1	1
133	0.004	0.408	0.004	0.003	0.000	0.001	21	2.3	0	15.7	107	67	174	7	0	143	125	135	76	0	2
133	0.000	0.360	0.004	0.002	0.000	0.002	18	2.7	0	21.5	107	67	174	4	0	115	120	121	48	0	3
133	0.007	0.455	0.003	0.003	0.000	0.000	25	1.7	0	13.3	106	68	174	7	1	143	132	138	41	0	1
133	0.008	0.443	0.005	0.005	0.000	0.000	24	2.1	0	13.4	125	53	178	6	0	143	128	138	69	1	1
133	0.004	0.470	0.005	0.003	0.000	0.001	29	1.7	0	9.5	118	59	177	7	1	133	129	133	27	0	1
133	0.006	0.477	0.005	0.003	0.000	0.000	35	1.3	0	5.4	88	68	156	7	0	133	133	136	18	1	1
133	0.003	0.446	0.006	0.004	0.000	0.001	24	1.9	0	5.7	99	59	158	5	0	133	124	130	35	1	1
133	0.007	0.481	0.005	0.002	0.000	0.000	32	1.6	0	8.4	90	68	158	4	0	133	133	135	18	1	1
131	0.001	0.369	0.003	0.003	0.000	0.002	29	2.0	0	8.1	111	54	165	14	0	129	112	128	103	1	3
131	0.000	0.335	0.003	0.003	0.000	0.002	34	2.2	0	3.8	128	54	182	10	1	75	99	102	148	-1	3
130	0.001	0.430	0.004	0.005	0.000	0.001	25	1.9	0	8.3	141	57	198	16	0	129	125	131	35	0	2
130	0.000	0.346	0.003	0.003	0.000	0.003	29	2.2	0	7.8	136	54	190	13	0	129	106	122	129	0	3
131	0.000	0.323	0.002	0.002	0.000	0.002	61	1.9	0	12.3	128	56	184	11	0	134	120	131	57	0	3
131	0.000	0.375	0.000	0.000	0.000	0.004	80	0.3	0	7.6	49	96	145	3	0	108	125	128	45	1	3
130	0.000	0.346	0.000	0.000	0.000	0.003	80	0.3	0	7.4	49	96	145	3	0	108	123	122	39	1	3
130	0.000	0.353	0.000	0.000	0.000	0.005	80	0.3	0	0.0	29	107	136	1	0	108	120	120	23	-1	3
133	0.000	0.000	0.007	0.000	0.000	0.000	60	0.7	58	9.9	128	72	200	8	1	133	132	134	2	0	2
133	0.000	0.000	0.007	0.000	0.000	0.000	64	0.4	81	3.7	12	126	138	1	0	133	132	134	0	0	3
130	0.001	0.000	0.008	0.000	0.000	0.000	54	0.6	6	8.7	30	116	146	2	0	133	133	134	1	0	1
130	0.000	0.000	0.007	0.000	0.000	0.000	55	0.5	11	7.6	20	124	144	1	0	133	132	134	0	0	1
126	0.000	0.000	0.005	0.000	0.000	0.000	56	0.5	29	7.5	26	116	142	2	0	129	128	130	1	0	1
126	0.000	0.000	0.003	0.000	0.000	0.000	56	0.5	40	6.7	27	116	143	2	0	129	127	129	1	0	1
126	0.003	0.005	0.004	0.002	0.000	0.000	41	2.1	0	25.8	120	50	170	8	1	129	129	132	19	1	1
126	0.005	0.003	0.005	0.000	0.000	0.000	41	1.7	0	21.4	100	50	150	4	0	133	130	132	10	1	1
120	0.008	0.000	0.005	0.000	0.000	0.000	43	1.4	5	18.4	106	50	156	8	0	129	129	130	11	1	1
132	0.006	0.006	0.006	0.000	0.000	0.000	55	0.6	16	8.3	42	115	157	2	0	133	138	139	7	0	1
132	0.008	0.005	0.006	0.000	0.000	0.000	52	0.6	0	8.2	42	115	157	2	0	142	141	142	3	0	1
132	0.003	0.005	0.006	0.000	0.000	0.000	58	0.5	23	7.8	36	120	156	2	0	133	135	134	3	0	1
132	0.000	0.000	0.005	0.000	0.000	0.000	64	0.4	38	6.3	22	121	143	2	0	133	132	133	0	0	2
132	0.002	0.007	0.005	0.000	0.000	0.000	51	0.7	0	12.3	41	115	156	2	1	136	137	139	2	0	1
129	0.000	0.010	0.005	0.000	0.000	0.000	64	0.4	54	5.3	23	118	141	1	0	131	130	132	0	0	2
129	0.000	0.007	0.004	0.000	0.000	0.000	65	0.4	73	3.9	7	127	134	1	0	131	130	132	0	0	3
143	0.000	0.021	0.000	0.000	0.000	0.000	65	0.3	43	6.5	24	131	155	2	0	147	145	147	1	0	2
143	0.000	0.017	0.000	0.000	0.000	0.000	70	0.3	50	5.1	13	142	155	1	0	147	146	148	0	0	2
142	0.000	0.045	0.000	0.000	0.000	0.000	55	0.6	5	12.2	44	116	160	4	0	145	145	147	2	1	1
128	0.006	0.016	0.003	0.000	0.000	0.000	52	0.6	0	6.7	36	121	157	4	0	140	138	139	5	0	1
128	0.004	0.011	0.003	0.000	0.000	0.000	54	0.6	0	6.5	36	121	157	3	0	140	138	139	5	0	1
129	0.000	0.008	0.002	0.000	0.000	0.000	55	0.6	0	10.3	58	101	159	3	0	140	138	140	2	0	2
129	0.006	0.017	0.004	0.000	0.000	0.000	52	0.6	0	3.8	36	121	157	0	0	133	138	138	11	0	1
120	0.003	0.017	0.004	0.000	0.000	0.000	50	0.7	6	7.2	94	60	154	2	0	123	126	125	7	1	1
120	0.005	0.020	0.005	0.000	0.000	0.000	50	0.7	7	6.1	94	60	154	2	0	123	126	125	10	1	1
120	0.000	0.004	0.004	0.000	0.000	0.000	53	0.6	3	8.1	19	116	135	1	0	125	123	125	1	0	1
120	0.008	0.030	0.005	0.000	0.000	0.000	45	0.8	0	8.7	44	116	160	2	0	153	142	147	27	1	1
120	0.002	0.012	0.005	0.000	0.000	0.000	51	0.6	3	7.5	38	116	154	3	0	123	125	125	5	-1	1
124	0.008	0.043	0.008	0.000	0.000	0.000	41	1.3	0	9.3	73	115	188	9	1	150	145	151	12	0	1
129	0.009	0.035	0.003	0.000	0.000	0.000	44	1.0	0	5.2	113	75	188	6	0	150	141	146	18	0	1
129	0.010	0.040	0.004	0.000	0.000	0.000	40	1.4	0	7.5	73	115	188	10	1	150	145	150	12	0	1
129	0.008	0.048	0.007	0.000	0.000	0.000	40	1.4	0	8.5	73	115	188	9	1	150	147	151	9	0	1
123	0.008	0.000	0.004	0.000	0.000	0.000	39	2.1	0	21.3	88	58	146	7	0	127	127	129	14	1	1
123	0.008	0.000	0.003	0.000	0.000	0.000	39	1.5	0	16.0	95	51	146	6	1	129	128	130	9	1	1
120	0.005	0.000	0.002	0.000	0.000	0.000	41	2.2	4	25.2	107	58	165	4	1	121	124	126	16	0	1
120	0.009	0.000	0.000	0.000	0.000	0.000	39	1.9	0	17.7	105	60	165	5	0	129	127	129	12	0	1
139	0.004	0.005	0.003	0.000	0.000	0.000	54	0.7	5	7.3	101	65	166	2	0	147	145	147	5	1	1
139	0.002	0.002	0.004	0.000	0.000	0.000	61	0.4	8	6.4	17	138	155	1	0	147	146	148	0	0	2
142	0.001	0.000	0.005	0.011	0.000	0.000	28	3.1	0	4.2	135	53	188	8	2	143	130	139	57	0	1
142	0.000	0.000	0.003	0.014	0.000	0.000	14	4.5	0	0.0	125	53	178	14	3	97	115	115	85	0	1
142	0.001	0.000	0.005	0.012	0.000	0.000	23	3.6	0	1.9	144	50	194	12	1	143	127	135	72	0	1
142	0.001	0.000	0.005	0.009	0.000	0.000	29	2.7	0	2.8	144	50	194	8	0	143	132	139	42	0	1
142	0.001	0.000	0.007	0.011	0.000	0.000	25	3.1	0	2.5	144	50	194	7	0	143	129	137	56	0	1
134	0.000	0.003	0.000	0.000	0.000	0.000	79	0.2	42	5.5	17	128	145	2	0	135	135	136	1	0	2
134	0.000	0.003	0.000	0.000	0.000	0.000	81	0.2	53	4.9	16	129	145	2	0	135	135	136	1	0	3
134	0.000	0.000	0.000	0.000	0.000	0.000	83	0.2	64	3.5	11	130	141	1	0	135	134	136	0	0	3
134	0.000	0.003	0.000	0.000	0.000	0.000	79	0.2	41	5.5	17	128	145	2	0	135	135	136	1	0	3
130	0.001	0.002	0.000	0.000	0.000	0.000	56	0.5	34	7.2	55	125	180	4	0	129	132	132	3	-1	1
130	0.000	0.001	0.000	0.000	0.000	0.000	56	0.5	33	7.5	19	125	144	2	0	129	131	132	2	-1	1
130	0.000	0.001	0.000	0.000	0.000	0.000	59	0.4	34	6.8	21	125	146	1	0	129	132	133	3	-1	1
130	0.000	0.002	0.000	0.000	0.000	0.000	59	0.4	37	6.6	21	125	146	2	0	129	132	132	2	-1	1
129	0.000	0.003	0.000	0.000	0.000	0.000	47	1.1	6	21.9	91	52	143	3	0	131	130	132	7	1	1
129	0.000	0.002	0.000	0.000	0.000	0.000	48	0.9	13	11.2	71	66	137	1	0	131	130	132	2	1	1
129	0.003	0.003	0.000	0.000	0.000	0.000	61	0.6	2	10.8	122	65	187	7	1	129	132	133	5	0	1
129	0.000	0.000	0.000	0.000	0.000	0.000	66	0.4	2	9.1	20	122	142	0	0	132	132	133	1	0	2
129	0.003	0.005	0.000	0.000	0.000	0.000	61	0.4	7	6.7	67	111	178	4	0	143	138	140	7	0	1
129	0.004	0.006	0.000	0.000	0.000	0.000	61	0.4	5	5.8	29	121	150	2	0	143	137	139	7	0	1
129	0.000	0.002	0.000	0.000	0.000	0.000	69	0.3	14	7.6	25	127	152	0	0	139	135	136	4	-1	2
129	0.003	0.001	0.000	0.000	0.000	0.000	59	0.9	21	19.4	118	66	184	18	0	133	135	137	7	0	1
141	0.000	0.002	0.000	0.000	0.000	0.000	67	0.4	44	9.2	78	70	148	2	0	143	141	143	1	1	2
141	0.000	0.003	0.000	0.000	0.000	0.000	76	0.2	62	4.3	12	134	146	1	0	142	140	142	0	0	2
141	0.000	0.000	0.000	0.000	0.000	0.000	61	0.4	29	5.3	13	135	148	1	0	144	143	145	0	1	2
135	0.000	0.000	0.000	0.000	0.000	0.000	67	0.4	69	4.6	76	67	143	2	0	137	136	138	0	1	3
135	0.000	0.000	0.000	0.000	0.000	0.000	68	0.3	72	3.9	10	133	143	1	0	137	136	138	0	0	3
134	0.000	0.000	0.000	0.000	0.000	0.000	81	0.2	91	1.3	3	133	136	1	0	135	134	136	0	1	3
134	0.000	0.000	0.000	0.000	0.000	0.000	80	0.2	90	1.3	3	133	136	1	0	135	134	136	0	1	3
130	0.000	0.001	0.000	0.001	0.000	0.000	78	0.2	84	2.0	28	105	133	6	0	131	130	132	1	1	3
130	0.000	0.003	0.000	0.003	0.000	0.000	74	0.4	42	2.5	60	105	165	6	0	131	128	131	3	0	2
130	0.000	0.000	0.000	0.000	0.000	0.000	79	0.2	91	1.7	6	127	133	1	0	130	130	131	0	1	3
130	0.000	0.002	0.000	0.002	0.000	0.000	75	0.3	66	2.1	60	105	165	6	0	130	129	131	1	0	2
137	0.000	0.003	0.001	0.000	0.000	0.000	77	0.2	40	6.6	29	127	156	2	0	138	141	141	3	0	2
137	0.000	0.003	0.001	0.000	0.000	0.000	75	0.2	34	6.9	24	127	151	2	0	138	139	140	1	0	2
137	0.000	0.004	0.001	0.000	0.000	0.000	75	0.2	32	7.0	24	127	151	2	0	138	139	140	1	0	2
137	0.000	0.004	0.001	0.000	0.000	0.000	75	0.2	30	7.1	24	127	151	2	0	138	139	139	1	0	2
128	0.000	0.004	0.000	0.000	0.000	0.000	73	0.2	32	7.3	22	122	144	1	0	129	132	133	3	0	2
128	0.000	0.005	0.000	0.000	0.000	0.000	73	0.3	38	7.1	22	122	144	1	0	129	130	131	1	0	2
128	0.000	0.002	0.000	0.000	0.000	0.000	78	0.2	32	6.8	17	127	144	2	0	133	135	135	2	0	2
128	0.000	0.005	0.000	0.000	0.000	0.000	74	0.2	45	6.9	22	122	144	1	0	133	130	132	1	0	2
133	0.000	0.012	0.000	0.000	0.000	0.000	69	0.4	25	10.0	58	127	185	5	0	133	136	137	4	-1	2
133	0.000	0.014	0.000	0.000	0.000	0.000	72	0.3	20	8.8	32	115	147	2	0	133	136	136	3	0	2
117	0.001	0.013	0.000	0.000	0.000	0.000	53	0.7	8	12.0	77	56	133	6	0	123	121	123	3	1	1
117	0.000	0.011	0.000	0.000	0.000	0.000	51	0.8	9	13.3	77	56	133	5	0	123	122	124	2	1	1
123	0.003	0.003	0.000	0.000	0.000	0.000	52	0.8	2	15.4	90	50	140	7	0	129	128	130	4	1	1
123	0.003	0.003	0.000	0.000	0.000	0.000	52	0.8	3	14.3	77	63	140	7	0	127	128	130	5	1	1
123	0.004	0.007	0.000	0.000	0.000	0.000	56	0.7	0	7.4	71	81	152	4	0	127	129	131	4	1	1
123	0.003	0.004	0.000	0.000	0.000	0.000	50	0.9	4	14.8	82	58	140	7	0	129	128	130	5	1	1
123	0.003	0.004	0.000	0.000	0.000	0.000	50	0.9	4	14.8	82	58	140	7	0	129	128	130	5	1	1
146	0.000	0.000	0.005	0.001	0.000	0.000	55	0.7	32	8.2	72	93	165	4	0	150	147	150	6	1	1
146	0.000	0.000	0.005	0.002	0.000	0.000	52	0.8	32	8.6	72	93	165	3	0	152	147	151	9	1	1
146	0.000	0.000	0.006	0.002	0.000	0.000	49	0.9	32	8.7	80	86	166	3	0	152	147	151	11	1	1
146	0.000	0.000	0.004	0.000	0.000	0.000	64	0.4	31	7.2	19	137	156	2	0	150	147	150	1	0	2
146	0.000	0.000	0.003	0.000	0.000	0.000	66	0.4	33	7.0	19	138	157	1	0	150	147	150	1	0	2
146	0.000	0.000	0.003	0.000	0.000	0.000	65	0.4	39	7.0	19	137	156	1	0	150	149	151	1	1	2
146	0.000	0.000	0.003	0.000	0.000	0.000	65	0.4	39	7.0	19	137	156	1	0	150	149	151	1	1	2
146	0.000	0.000	0.005	0.000	0.000	0.000	65	0.4	44	6.6	22	134	156	3	0	152	150	152	1	1	2
146	0.000	0.000	0.005	0.000	0.000	0.000	69	0.3	55	4.6	11	145	156	0	0	152	150	152	0	0	2
146	0.000	0.000	0.005	0.001	0.000	0.000	65	0.4	41	7.0	28	134	162	4	0	152	150	152	1	0	2
146	0.000	0.000	0.006	0.000	0.000	0.000	65	0.4	33	7.4	30	134	164	1	0	150	149	151	1	0	2
146	0.000	0.000	0.005	0.008	0.000	0.000	27	1.9	15	6.4	81	86	167	5	0	151	140	145	31	1	1
146	0.001	0.000	0.005	0.005	0.000	0.000	28	1.7	9	12.3	80	86	166	3	0	151	142	146	22	1	1
146	0.000	0.000	0.001	0.000	0.000	0.000	50	0.6	31	9.1	43	120	163	3	0	160	155	157	5	1	1
146	0.000	0.000	0.001	0.000	0.000	0.000	53	0.5	32	8.2	27	136	163	2	1	160	156	158	2	1	1
146	0.000	0.000	0.001	0.000	0.000	0.000	53	0.5	32	8.2	27	136	163	2	1	160	156	158	2	1	2
146	0.001	0.000	0.003	0.002	0.000	0.000	42	1.0	35	7.5	88	84	172	2	1	157	151	156	17	1	1
146	0.000	0.000	0.002	0.000	0.000	0.000	61	0.4	53	6.8	45	118	163	5	0	157	154	157	2	1	2
146	0.000	0.000	0.002	0.001	0.000	0.000	53	0.7	44	8.1	70	93	163	4	1	157	152	156	8	1	2
146	0.003	0.000	0.003	0.003	0.000	0.000	37	1.3	31	7.2	79	93	172	2	2	162	152	156	23	1	1
146	0.003	0.000	0.004	0.002	0.000	0.000	38	1.2	33	6.9	78	94	172	2	3	162	154	158	19	1	1
146	0.004	0.000	0.004	0.004	0.000	0.000	31	1.5	22	6.5	88	84	172	1	1	162	150	156	36	1	1
146	0.003	0.000	0.003	0.003	0.000	0.000	28	1.6	0	6.4	93	80	173	4	0	148	148	151	28	1	1
146	0.000	0.000	0.004	0.004	0.000	0.000	28	1.4	15	6.7	83	80	163	4	0	148	145	151	24	1	1
146	0.002	0.000	0.004	0.004	0.000	0.000	28	1.4	16	6.7	85	80	165	5	0	148	146	151	25	1	1
152	0.000	0.000	0.002	0.000	0.000	0.000	60	0.4	57	8.0	36	128	164	2	0	160	157	160	2	1	2
152	0.000	0.000	0.002	0.000	0.000	0.000	59	0.5	50	9.1	36	128	164	2	0	160	157	160	2	1	1
152	0.000	0.000	0.003	0.000	0.000	0.000	61	0.4	64	6.1	34	129	163	3	1	160	157	160	1	1	2
152	0.000	0.000	0.002	0.000	0.000	0.000	60	0.4	59	7.1	34	129	163	3	1	160	157	160	1	1	2
152	0.000	0.000	0.004	0.000	0.000	0.000	62	0.4	67	3.9	10	152	162	1	0	160	158	160	0	1	2
152	0.000	0.000	0.005	0.000	0.000	0.000	60	0.4	62	4.0	13	150	163	1	0	160	158	160	0	1	2
152	0.000	0.000	0.003	0.000	0.000	0.000	61	0.4	71	5.8	30	134	164	4	0	160	158	160	1	1	3
152	0.000	0.000	0.002	0.000	0.000	0.000	61	0.4	74	6.7	41	123	164	4	0	160	158	160	1	1	3
152	0.000	0.000	0.005	0.000	0.000	0.000	62	0.4	59	5.6	25	136	161	0	0	159	156	158	1	1	2
152	0.000	0.000	0.005	0.001	0.000	0.000	58	0.5	48	7.1	53	110	163	4	3	159	154	157	4	1	1
152	0.000	0.000	0.005	0.002	0.000	0.000	55	0.6	45	6.7	64	99	163	4	3	159	154	158	5	1	1
152	0.000	0.000	0.004	0.000	0.000	0.000	59	0.5	62	9.5	38	126	164	3	1	160	157	159	2	1	2
152	0.000	0.000	0.004	0.001	0.000	0.000	58	0.5	59	7.5	54	110	164	3	2	159	155	158	4	1	1
152	0.000	0.000	0.004	0.001	0.000	0.000	57	0.6	50	6.8	53	110	163	4	3	159	154	158	5	1	1
152	0.000	0.000	0.002	0.002	0.000	0.000	61	0.5	61	3.4	61	99	160	4	3	159	155	158	4	1	2
152	0.000	0.000	0.007	0.002	0.000	0.000	56	0.6	39	6.8	61	99	160	3	2	157	153	156	5	1	1
152	0.000	0.000	0.005	0.000	0.000	0.000	57	0.5	43	8.7	41	123	164	4	0	160	158	161	1	1	1
128	0.007	0.000	0.003	0.005	0.000	0.000	23	2.4	0	4.6	101	70	171	7	1	155	140	144	46	1	1
128	0.006	0.000	0.002	0.010	0.000	0.000	16	3.3	0	3.7	114	57	171	6	1	136	130	136	26	1	1
128	0.004	0.000	0.002	0.007	0.000	0.000	20	2.6	0	13.2	92	79	171	2	1	151	137	142	39	1	1
128	0.008	0.000	0.003	0.005	0.000	0.000	26	2.2	0	5.7	95	79	174	2	1	157	142	146	43	1	1
138	0.000	0.000	0.005	0.000	0.000	0.000	45	0.7	56	6.5	39	113	152	3	0	141	139	141	1	1	1
138	0.000	0.000	0.005	0.000	0.000	0.000	45	0.7	62	6.7	39	113	152	3	0	141	139	141	1	1	2
138	0.000	0.000	0.004	0.000	0.000	0.000	46	0.7	53	7.8	39	113	152	4	0	141	138	141	2	1	1
138	0.000	0.000	0.003	0.000	0.000	0.000	42	0.8	44	7.8	39	113	152	3	0	141	139	142	1	1	1
138	0.000	0.000	0.004	0.000	0.000	0.000	42	0.7	48	7.2	39	113	152	2	0	141	139	142	1	1	1
138	0.000	0.000	0.003	0.000	0.000	0.000	44	0.6	61	5.1	19	130	149	1	0	141	140	142	0	0	2
138	0.000	0.000	0.003	0.000	0.000	0.000	43	0.6	54	5.4	19	130	149	1	0	141	140	142	0	0	1
138	0.001	0.000	0.003	0.000	0.000	0.000	39	0.8	12	10.5	49	105	154	5	0	141	141	142	1	1	1
138	0.001	0.000	0.004	0.000	0.000	0.000	39	0.8	9	10.9	49	105	154	5	0	142	141	143	1	1	1
138	0.001	0.000	0.003	0.000	0.000	0.000	40	0.8	7	10.8	49	105	154	5	0	142	141	143	1	1	1
138	0.002	0.000	0.004	0.000	0.000	0.000	41	0.8	8	10.3	51	105	156	4	0	142	142	143	2	1	1
138	0.002	0.000	0.004	0.000	0.000	0.000	41	0.8	8	10.3	51	105	156	4	0	142	142	143	2	1	1
138	0.001	0.000	0.004	0.000	0.000	0.000	43	0.7	9	8.3	25	131	156	0	0	142	142	144	1	0	1
138	0.002	0.000	0.005	0.000	0.000	0.000	45	0.7	13	6.5	25	131	156	0	0	147	145	146	2	0	1
138	0.000	0.000	0.004	0.000	0.000	0.000	39	0.8	10	9.1	23	131	154	2	0	142	141	143	1	0	1
138	0.000	0.000	0.001	0.000	0.000	0.000	41	0.7	37	7.8	25	129	154	2	0	140	140	141	1	0	1
138	0.000	0.000	0.002	0.000	0.000	0.000	44	0.7	58	5.0	16	129	145	1	0	141	140	142	0	1	1
142	0.000	0.000	0.004	0.000	0.000	0.000	45	0.7	21	8.9	25	132	157	1	0	145	144	146	1	0	1
142	0.000	0.000	0.004	0.000	0.000	0.000	43	0.8	3	9.6	25	132	157	1	0	145	144	146	1	0	1
142	0.000	0.000	0.004	0.000	0.000	0.000	44	0.8	1	11.1	32	126	158	1	0	145	146	147	2	0	1
142	0.000	0.000	0.005	0.000	0.000	0.000	41	0.8	0	12.6	32	126	158	0	0	151	146	148	5	1	1
142	0.000	0.000	0.004	0.000	0.000	0.000	41	0.9	0	11.7	35	123	158	0	0	151	146	149	7	1	1
142	0.001	0.000	0.004	0.000	0.000	0.000	39	0.9	0	12.0	32	127	159	1	0	151	147	149	4	1	1
142	0.003	0.000	0.004	0.000	0.000	0.000	46	0.7	27	5.9	26	133	159	1	0	150	148	150	1	0	1
142	0.003	0.000	0.004	0.000	0.000	0.000	36	1.0	13	12.0	95	71	166	5	0	145	145	146	2	1	1
142	0.001	0.000	0.005	0.000	0.000	0.000	44	0.7	40	7.1	28	130	158	3	0	147	146	148	0	0	1
142	0.002	0.000	0.003	0.000	0.000	0.000	45	0.7	16	8.4	24	135	159	0	0	150	149	150	1	0	1
142	0.002	0.000	0.003	0.000	0.000	0.000	38	0.9	0	11.4	32	127	159	1	0	151	146	149	5	0	1
142	0.000	0.000	0.004	0.000	0.000	0.000	49	0.6	30	7.1	17	140	157	1	0	150	148	150	0	0	1
142	0.001	0.000	0.006	0.000	0.000	0.000	43	0.7	37	7.2	28	130	158	3	0	147	146	148	0	0	1
142	0.002	0.000	0.007	0.000	0.000	0.000	44	0.7	42	7.3	39	119	158	4	0	147	146	148	1	1	1
136	0.007	0.000	0.005	0.000	0.000	0.000	42	0.7	20	4.0	38	120	158	2	0	141	143	144	3	0	1
136	0.008	0.000	0.007	0.000	0.000	0.000	42	0.7	20	4.3	38	120	158	2	1	141	143	144	3	0	1
136	0.005	0.000	0.004	0.000	0.000	0.000	42	0.7	18	4.5	38	120	158	2	0	141	142	143	2	0	1
136	0.004	0.000	0.005	0.000	0.000	0.000	42	0.7	22	4.5	37	120	157	3	0	141	141	142	1	0	1
136	0.003	0.000	0.005	0.000	0.000	0.000	44	0.7	18	4.1	24	133	157	1	0	140	141	142	1	0	1
136	0.002	0.000	0.005	0.000	0.000	0.000	44	0.7	14	7.1	27	126	153	2	0	142	140	142	1	0	1
135	0.002	0.000	0.005	0.000	0.000	0.000	42	0.8	7	8.5	34	119	153	3	0	142	140	142	1	0	1
135	0.001	0.000	0.006	0.000	0.000	0.000	41	0.8	6	9.5	34	119	153	3	0	142	140	142	2	0	1
136	0.002	0.000	0.005	0.000	0.000	0.000	40	0.8	7	10.3	35	119	154	2	0	138	139	140	2	0	1
136	0.002	0.000	0.006	0.000	0.000	0.000	39	0.9	8	11.2	47	107	154	1	0	138	139	139	2	0	1
136	0.001	0.000	0.005	0.000	0.000	0.000	37	0.9	0	12.1	36	118	154	2	0	138	139	141	2	0	1
136	0.001	0.000	0.004	0.000	0.000	0.000	37	0.9	0	11.7	47	107	154	2	0	138	139	140	2	1	1
136	0.000	0.000	0.007	0.000	0.000	0.000	39	0.9	0	12.6	41	110	151	3	0	139	139	140	1	1	1
136	0.001	0.000	0.005	0.000	0.000	0.000	36	0.9	2	10.4	29	124	153	2	0	139	139	140	1	0	1
136	0.001	0.000	0.005	0.000	0.000	0.000	37	0.9	12	8.8	33	124	157	3	0	139	139	140	1	0	1
136	0.001	0.000	0.004	0.000	0.000	0.000	39	0.8	28	6.6	33	124	157	4	0	141	139	141	1	0	1
136	0.000	0.000	0.002	0.000	0.000	0.000	44	0.7	47	5.3	12	135	147	1	0	141	140	142	0	0	1
136	0.002	0.000	0.006	0.000	0.000	0.000	45	0.6	48	4.3	19	135	154	2	0	141	141	142	0	-1	1
136	0.000	0.000	0.005	0.000	0.000	0.000	51	0.5	25	6.2	15	135	150	1	0	144	143	144	0	0	1
136	0.000	0.000	0.004	0.000	0.000	0.000	52	0.5	28	6.1	14	136	150	1	0	144	143	145	0	0	1
136	0.001	0.000	0.003	0.000	0.000	0.000	46	0.6	43	4.7	18	136	154	1	0	141	141	142	0	-1	1
136	0.001	0.000	0.005	0.000	0.000	0.000	47	0.6	38	5.3	18	136	154	1	0	141	141	142	0	-1	1
136	0.000	0.000	0.004	0.000	0.000	0.000	51	0.6	28	6.2	12	136	148	1	0	144	142	144	0	0	1
136	0.002	0.000	0.004	0.000	0.000	0.000	43	0.7	39	5.2	23	131	154	3	0	141	140	142	0	0	1
144	0.000	0.000	0.006	0.000	0.000	0.000	38	0.8	6	8.7	27	134	161	1	0	148	147	149	1	0	1
144	0.000	0.000	0.007	0.000	0.000	0.000	36	0.8	2	10.4	27	134	161	0	0	147	147	148	1	0	1
144	0.000	0.000	0.006	0.000	0.000	0.000	37	0.9	3	11.5	27	134	161	0	0	148	148	149	1	0	1
144	0.001	0.000	0.006	0.000	0.000	0.000	35	0.9	2	10.8	36	125	161	0	0	150	148	150	2	1	1
144	0.000	0.000	0.006	0.000	0.000	0.000	32	1.0	0	13.2	38	122	160	1	0	150	147	149	2	1	1
144	0.001	0.000	0.005	0.000	0.000	0.000	30	1.1	0	13.5	43	122	165	0	0	148	147	149	3	0	1
144	0.004	0.000	0.006	0.000	0.000	0.000	32	1.2	0	12.6	58	117	175	4	0	148	150	150	8	0	1
144	0.003	0.000	0.005	0.000	0.000	0.000	29	1.4	0	18.1	58	117	175	3	0	150	149	150	9	0	1
144	0.002	0.000	0.007	0.002	0.000	0.000	26	1.6	0	20.8	76	99	175	3	1	150	148	150	12	0	1
144	0.000	0.000	0.007	0.003	0.000	0.000	22	1.8	0	21.3	76	96	172	3	2	148	144	147	11	1	1
146	0.000	0.000	0.008	0.001	0.000	0.000	28	1.5	11	22.3	82	92	174	6	1	150	147	150	8	1	1
146	0.000	0.000	0.007	0.002	0.000	0.000	30	1.3	4	17.6	75	93	168	5	0	147	145	148	6	1	1
146	0.000	0.000	0.007	0.005	0.000	0.000	30	1.1	0	4.7	59	99	158	3	0	147	143	147	5	1	1
146	0.004	0.000	0.005	0.003	0.000	0.000	29	1.2	1	7.0	62	107	169	2	2	150	147	149	7	0	1
146	0.005	0.000	0.005	0.003	0.000	0.000	29	1.3	2	7.5	70	99	169	2	1	150	148	150	7	1	1
146	0.008	0.000	0.007	0.000	0.000	0.000	28	1.3	1	6.9	65	120	185	7	1	153	154	155	6	0	1
146	0.006	0.000	0.008	0.000	0.000	0.000	27	1.3	0	9.4	62	126	188	4	0	157	156	157	5	0	1
146	0.002	0.000	0.000	0.008	0.000	0.000	19	3.4	0	15.0	150	50	200	8	1	148	139	146	36	0	1
146	0.003	0.000	0.002	0.005	0.000	0.000	25	2.5	0	11.2	92	80	172	8	1	155	145	152	32	1	1
146	0.005	0.000	0.005	0.001	0.000	0.000	27	1.5	0	14.4	55	119	174	5	0	155	152	155	8	0	1
122	0.000	0.000	0.001	0.000	0.000	0.000	40	0.7	12	8.0	23	106	129	1	0	125	121	124	3	1	1
122	0.000	0.000	0.001	0.000	0.000	0.000	37	0.8	2	9.4	33	99	132	2	0	123	122	124	1	1	1
122	0.003	0.000	0.003	0.000	0.000	0.000	32	1.2	0	8.7	52	95	147	3	1	123	122	124	4	0	1
122	0.004	0.000	0.002	0.000	0.000	0.002	27	1.6	0	3.2	60	87	147	1	1	123	118	123	18	0	1
122	0.000	0.000	0.005	0.000	0.000	0.002	33	1.1	8	7.2	60	87	147	4	2	120	115	120	11	0	1
122	0.000	0.000	0.003	0.002	0.000	0.000	36	1.0	12	7.7	42	87	129	2	0	123	117	121	10	1	1
122	0.000	0.000	0.004	0.000	0.000	0.000	39	0.8	10	8.4	23	106	129	1	0	123	119	121	2	0	1
122	0.000	0.000	0.005	0.000	0.000	0.000	37	0.8	11	10.0	26	109	135	2	0	123	125	126	2	0	1
122	0.000	0.000	0.007	0.003	0.000	0.000	31	1.0	7	9.5	32	101	133	2	0	123	122	124	3	1	1
122	0.002	0.000	0.002	0.000	0.000	0.001	31	1.2	1	8.3	60	87	147	2	1	120	119	123	9	0	1
122	0.004	0.000	0.002	0.000	0.000	0.000	31	1.3	0	8.8	52	95	147	2	1	120	123	124	5	0	1
122	0.005	0.000	0.004	0.003	0.000	0.000	31	1.2	0	6.7	57	93	150	2	0	133	130	134	12	1	1
122	0.002	0.000	0.005	0.002	0.000	0.000	23	1.7	3	9.3	73	84	157	3	0	126	121	122	14	0	1
122	0.000	0.000	0.006	0.002	0.000	0.000	27	1.4	4	12.3	53	91	144	4	0	126	120	122	6	0	1
122	0.002	0.000	0.005	0.003	0.000	0.000	26	1.5	0	7.7	68	89	157	2	0	125	122	124	11	0	1
122	0.001	0.000	0.005	0.003	0.000	0.000	28	1.4	0	8.5	52	89	141	3	0	125	120	123	9	0	1
122	0.005	0.000	0.004	0.003	0.000	0.000	32	1.2	0	6.5	57	93	150	2	0	133	130	134	12	1	1
122	0.005	0.000	0.006	0.000	0.000	0.000	34	1.0	0	8.3	53	97	150	3	1	133	132	134	3	1	1
122	0.000	0.000	0.007	0.003	0.000	0.000	30	1.3	0	11.6	51	89	140	1	0	127	121	125	8	1	1
122	0.000	0.000	0.008	0.000	0.000	0.000	34	0.9	0	12.1	30	108	138	1	0	127	125	128	2	0	1
122	0.002	0.000	0.005	0.002	0.000	0.000	26	1.5	4	10.0	66	91	157	3	0	126	121	123	11	0	1
126	0.003	0.000	0.007	0.003	0.000	0.000	25	1.8	0	14.6	102	52	154	3	0	136	130	134	12	1	1
126	0.003	0.000	0.005	0.001	0.000	0.000	30	1.2	0	10.8	52	95	147	3	1	136	131	134	7	1	1
126	0.000	0.000	0.008	0.000	0.000	0.000	33	1.0	0	13.7	32	109	141	1	0	131	131	133	2	1	1
126	0.000	0.000	0.007	0.000	0.000	0.000	34	0.9	0	14.8	31	111	142	1	0	133	132	134	2	1	1
126	0.000	0.000	0.008	0.000	0.000	0.000	34	1.0	0	15.2	33	109	142	1	0	134	131	134	3	1	1
136	0.000	0.000	0.006	0.003	0.000	0.000	56	1.1	32	7.4	95	74	169	4	3	140	137	140	12	1	1
136	0.000	0.000	0.002	0.000	0.000	0.000	66	0.4	61	5.6	24	127	151	1	0	142	140	142	0	0	2
136	0.001	0.000	0.005	0.000	0.000	0.000	61	0.5	48	8.0	31	124	155	9	0	142	140	141	2	0	2
136	0.003	0.000	0.005	0.000	0.000	0.000	54	0.7	15	10.5	43	118	161	7	0	136	141	141	8	0	1
136	0.002	0.000	0.002	0.000	0.000	0.000	54	0.5	8	9.5	49	118	167	1	0	151	149	151	7	1	1
136	0.001	0.000	0.002	0.005	0.000	0.002	24	2.3	0	0.0	116	51	167	6	2	126	115	122	57	0	3
138	0.004	0.000	0.000	0.003	0.000	0.000	46	1.0	16	3.9	116	51	167	6	3	151	144	151	30	1	1
142	0.000	0.000	0.005	0.004	0.000	0.000	32	1.3	4	14.6	82	76	158	4	0	147	141	144	12	1	1
142	0.003	0.000	0.007	0.003	0.000	0.000	30	1.4	0	17.2	83	76	159	4	1	144	142	145	10	1	1
142	0.006	0.000	0.001	0.000	0.000	0.000	45	0.8	1	11.1	47	113	160	4	2	150	148	151	4	1	1
142	0.005	0.000	0.001	0.000	0.000	0.000	39	0.8	0	10.2	53	106	159	7	0	150	149	151	2	1	1
142	0.003	0.000	0.004	0.000	0.000	0.000	34	1.1	0	19.6	67	94	161	5	1	151	146	149	8	1	1
142	0.000	0.000	0.002	0.000	0.000	0.000	31	1.2	0	24.1	67	94	161	2	0	151	145	148	10	1	1
136	0.010	0.000	0.006	0.003	0.000	0.000	35	1.2	0	7.6	94	65	159	5	0	144	140	144	19	1	1
136	0.005	0.000	0.003	0.004	0.000	0.000	37	1.2	0	8.6	94	64	158	2	0	139	137	141	21	1	1
136	0.000	0.000	0.007	0.004	0.000	0.000	35	1.1	0	11.5	86	69	155	3	0	136	133	137	14	1	1
136	0.000	0.000	0.008	0.005	0.000	0.000	32	1.3	0	17.5	102	61	163	7	0	136	133	137	17	1	1
136	0.000	0.000	0.008	0.007	0.000	0.000	32	1.3	0	12.9	92	71	163	4	0	133	133	137	19	1	1
136	0.000	0.000	0.008	0.008	0.000	0.000	33	1.3	0	8.0	81	73	154	4	1	133	132	135	17	1	1
136	0.000	0.000	0.008	0.005	0.000	0.000	33	1.2	0	14.4	91	61	152	5	0	136	132	137	17	1	1
133	0.000	0.000	0.008	0.008	0.000	0.000	20	2.6	0	22.5	98	63	161	7	0	136	126	135	54	1	1
133	0.000	0.000	0.006	0.009	0.000	0.000	20	2.7	0	18.5	98	63	161	7	0	136	124	134	61	1	1
133	0.000	0.000	0.007	0.003	0.000	0.000	35	1.3	4	27.0	90	67	157	7	0	139	135	139	16	1	1
133	0.001	0.000	0.002	0.008	0.000	0.000	33	1.4	3	12.8	87	65	152	6	0	136	130	137	26	1	1
133	0.000	0.000	0.001	0.008	0.000	0.000	37	1.3	4	14.6	81	71	152	4	0	136	130	136	24	1	1
133	0.005	0.000	0.005	0.004	0.000	0.000	27	1.8	0	17.8	92	61	153	5	1	142	134	140	29	1	1
133	0.003	0.000	0.004	0.004	0.000	0.000	28	1.6	0	15.2	96	57	153	5	2	141	135	140	26	1	1
133	0.005	0.000	0.004	0.001	0.000	0.000	29	1.7	0	23.4	89	64	153	9	2	142	135	141	22	1	1
133	0.005	0.000	0.003	0.002	0.000	0.000	27	1.7	0	20.4	89	64	153	9	2	142	135	140	21	1	1
133	0.000	0.000	0.007	0.001	0.000	0.000	37	1.1	0	29.1	90	67	157	9	1	140	136	140	12	1	1
133	0.000	0.000	0.008	0.000	0.000	0.000	41	1.0	5	28.9	73	84	157	8	2	140	136	140	8	1	1
133	0.000	0.000	0.001	0.001	0.000	0.000	44	0.8	13	17.8	65	82	147	2	0	140	136	139	8	1	1
131	0.000	0.000	0.006	0.009	0.000	0.000	29	2.1	4	3.6	108	59	167	7	1	135	120	132	72	1	1
131	0.000	0.000	0.008	0.009	0.000	0.000	25	2.4	3	3.9	108	59	167	7	1	136	120	134	82	1	1
131	0.000	0.000	0.005	0.008	0.000	0.000	32	1.8	6	2.3	97	59	156	3	1	135	120	133	70	1	1
131	0.000	0.000	0.004	0.008	0.000	0.000	39	1.0	6	2.5	68	73	141	5	0	135	124	134	39	1	1
131	0.000	0.000	0.005	0.007	0.000	0.000	32	2.2	12	6.1	108	59	167	6	1	143	125	137	91	1	1
131	0.002	0.000	0.005	0.005	0.000	0.000	42	1.0	11	4.6	102	51	153	6	0	143	134	141	34	1	1
131	0.000	0.000	0.007	0.005	0.000	0.000	40	1.1	13	4.9	100	51	151	7	0	143	132	139	43	1	1
131	0.004	0.000	0.005	0.007	0.000	0.001	33	1.9	0	2.4	127	51	178	7	0	142	126	139	90	1	1
131	0.006	0.000	0.003	0.005	0.000	0.002	35	1.7	0	0.0	126	52	178	6	1	143	128	142	92	1	1
131	0.006	0.000	0.005	0.006	0.000	0.000	38	1.3	0	2.9	95	58	153	5	0	143	131	142	64	1	1
131	0.007	0.000	0.007	0.005	0.000	0.000	42	0.9	0	3.2	79	74	153	2	0	142	136	142	24	1	1
131	0.000	0.000	0.004	0.000	0.000	0.000	29	1.0	0	13.0	31	117	148	0	0	129	133	134	5	0	1
131	0.000	0.000	0.005	0.000	0.000	0.000	29	1.0	0	12.9	31	115	146	0	0	129	131	132	3	0	1
131	0.001	0.000	0.003	0.000	0.000	0.000	29	1.0	0	12.4	27	122	149	0	0	136	136	138	2	0	1
131	0.008	0.000	0.006	0.000	0.000	0.000	25	1.3	0	6.8	42	117	159	1	0	136	138	139	5	0	1
131	0.008	0.000	0.008	0.000	0.000	0.000	24	1.3	0	7.3	42	117	159	2	0	136	138	139	5	0	1
131	0.012	0.000	0.006	0.000	0.000	0.000	28	1.4	0	4.3	52	118	170	8	0	143	145	145	8	0	1
131	0.011	0.000	0.005	0.000	0.000	0.000	29	1.3	0	4.5	89	82	171	8	0	143	145	145	9	1	1
131	0.011	0.000	0.005	0.000	0.000	0.000	23	1.5	0	6.6	52	124	176	3	0	148	148	149	7	0	1
131	0.009	0.000	0.003	0.000	0.000	0.000	25	1.4	0	6.5	91	87	178	6	0	136	144	144	17	0	1
131	0.010	0.000	0.002	0.000	0.000	0.000	25	1.3	0	6.8	82	87	169	5	0	136	141	141	9	0	1
131	0.011	0.000	0.004	0.000	0.000	0.000	27	1.4	0	8.7	52	118	170	7	0	148	146	147	7	0	1
131	0.013	0.000	0.005	0.000	0.000	0.000	28	1.3	0	4.0	89	82	171	7	0	143	146	146	8	1	1
129	0.004	0.000	0.001	0.000	0.000	0.000	27	1.2	1	7.9	60	98	158	3	0	133	133	134	4	0	1
129	0.003	0.000	0.000	0.000	0.000	0.000	28	1.1	1	7.1	30	122	152	1	0	133	133	134	2	0	1
129	0.006	0.000	0.004	0.001	0.000	0.000	25	1.5	0	11.3	59	103	162	4	0	129	132	131	14	0	1
129	0.007	0.000	0.006	0.000	0.000	0.000	23	1.5	0	12.6	44	115	159	1	0	133	139	141	11	0	1
129	0.009	0.000	0.004	0.000	0.000	0.000	24	1.5	0	13.4	45	114	159	1	0	133	138	138	9	0	1
129	0.014	0.000	0.008	0.000	0.000	0.000	23	1.5	0	0.5	53	109	162	5	0	144	143	145	8	0	1
129	0.015	0.000	0.006	0.000	0.000	0.000	22	1.6	0	0.5	58	108	166	4	0	141	143	144	9	0	1
129	0.008	0.000	0.008	0.000	0.000	0.000	22	1.5	0	10.6	53	109	162	4	0	147	143	146	7	1	1
129	0.011	0.000	0.008	0.000	0.000	0.000	21	1.5	0	4.5	54	108	162	4	0	144	142	144	8	1	1
129	0.012	0.000	0.008	0.000	0.000	0.000	22	1.6	0	0.0	58	108	166	4	0	141	142	144	11	0	1
129	0.012	0.000	0.009	0.000	0.000	0.000	23	1.6	0	0.0	54	112	166	4	0	138	143	144	13	0	1
122	0.003	0.000	0.001	0.004	0.000	0.000	15	2.7	0	19.6	129	51	180	6	1	122	122	123	43	0	1
122	0.004	0.000	0.001	0.006	0.000	0.000	13	3.0	0	21.1	129	51	180	6	1	122	122	123	54	0	1
122	0.002	0.000	0.000	0.007	0.000	0.000	13	3.2	0	20.8	129	51	180	5	1	119	119	121	62	0	1
122	0.004	0.000	0.002	0.002	0.000	0.000	17	2.1	0	15.4	71	95	166	2	0	122	124	123	18	0	1
122	0.002	0.000	0.000	0.007	0.000	0.000	12	3.6	0	25.3	129	51	180	7	1	122	119	122	79	0	1
139	0.004	0.000	0.005	0.000	0.000	0.000	33	1.1	0	12.8	40	131	171	1	0	144	144	145	3	-1	1
139	0.004	0.000	0.005	0.000	0.000	0.000	34	1.1	0	14.1	36	129	165	2	0	144	143	144	2	0	1
139	0.007	0.000	0.003	0.000	0.000	0.000	41	0.8	0	8.2	42	131	173	2	0	144	144	145	3	-1	1
139	0.008	0.000	0.004	0.000	0.000	0.000	34	1.0	0	8.1	42	131	173	4	0	144	145	146	3	-1	1
139	0.006	0.000	0.005	0.000	0.000	0.000	39	0.8	0	7.6	34	136	170	1	0	144	146	146	3	-1	1
139	0.007	0.000	0.005	0.000	0.000	0.000	38	0.9	0	7.1	34	136	170	1	0	144	146	146	4	-1	1
139	0.005	0.000	0.005	0.002	0.000	0.000	37	1.3	0	7.8	106	68	174	7	1	141	143	145	13	1	1
139	0.003	0.000	0.003	0.000	0.000	0.000	38	1.0	0	11.7	47	114	161	2	0	142	141	142	3	0	1
139	0.002	0.000	0.005	0.000	0.000	0.000	35	1.0	0	11.6	28	131	159	0	0	144	143	145	1	0	1
135	0.003	0.000	0.007	0.000	0.000	0.000	29	1.3	0	10.4	37	123	160	3	0	138	139	140	3	0	1
135	0.003	0.000	0.007	0.000	0.000	0.000	28	1.4	0	9.7	40	120	160	2	0	138	139	140	2	0	1
135	0.008	0.000	0.008	0.001	0.000	0.000	27	1.4	0	8.5	106	64	170	4	2	138	140	141	8	1	1
135	0.002	0.000	0.006	0.000	0.000	0.000	26	1.3	0	10.1	37	123	160	1	1	137	138	139	2	0	1
135	0.008	0.000	0.007	0.004	0.000	0.000	26	1.6	0	6.0	106	64	170	4	2	141	138	141	16	1	1
135	0.007	0.000	0.008	0.005	0.000	0.000	23	1.8	0	8.8	112	60	172	6	2	139	137	140	20	1	1
135	0.006	0.000	0.006	0.005	0.000	0.000	27	1.5	0	5.8	96	69	165	5	2	143	139	142	17	1	1
135	0.002	0.000	0.006	0.006	0.000	0.000	23	1.7	0	8.4	88	69	157	6	2	139	134	139	17	1	1
135	0.009	0.000	0.005	0.003	0.000	0.000	24	2.5	0	3.9	98	80	178	4	2	143	143	146	15	0	1
135	0.011	0.000	0.005	0.002	0.000	0.000	25	2.5	0	4.6	89	89	178	5	2	143	145	147	10	0	1
135	0.003	0.000	0.003	0.003	0.000	0.000	24	1.5	0	13.1	55	102	157	4	0	136	134	136	9	0	1
135	0.003	0.000	0.003	0.005	0.000	0.000	23	1.6	0	9.1	67	90	157	3	0	133	133	135	10	1	1
136	0.014	0.000	0.005	0.000	0.000	0.000	23	2.4	0	5.9	52	117	169	2	0	143	145	146	7	0	1
136	0.013	0.000	0.005	0.000	0.000	0.000	22	2.3	0	7.2	64	114	178	3	1	145	144	145	6	0	1
135	0.004	0.000	0.003	0.004	0.000	0.000	25	1.5	0	8.9	68	90	158	3	0	136	134	136	10	0	1
135	0.007	0.000	0.005	0.002	0.000	0.000	26	1.5	0	3.4	68	90	158	4	0	139	137	139	10	1	1
125	0.000	0.000	0.004	0.002	0.000	0.000	32	1.0	15	6.0	33	97	130	1	0	123	121	124	2	1	1
125	0.001	0.000	0.004	0.001	0.000	0.000	35	0.9	20	6.9	43	101	144	4	0	126	125	127	2	0	1
125	0.000	0.000	0.004	0.000	0.000	0.000	37	0.8	20	7.1	22	116	138	2	0	126	125	127	1	0	1
125	0.001	0.000	0.004	0.000	0.000	0.000	38	0.8	25	6.2	28	116	144	1	0	131	129	131	1	0	1
125	0.000	0.000	0.005	0.000	0.000	0.000	38	0.8	18	6.7	25	118	143	1	0	131	129	131	0	0	1
125	0.001	0.000	0.003	0.000	0.000	0.000	37	0.8	12	8.7	42	103	145	2	0	131	129	132	1	1	1
125	0.000	0.000	0.004	0.000	0.000	0.000	38	0.8	11	9.0	35	103	138	2	0	131	129	131	1	1	1
125	0.000	0.000	0.004	0.000	0.000	0.000	37	0.8	15	8.0	34	103	137	1	0	131	129	131	1	1	1
125	0.001	0.000	0.003	0.000	0.000	0.000	38	0.8	12	8.8	42	103	145	2	0	131	129	132	1	1	1
125	0.000	0.000	0.004	0.000	0.000	0.000	38	0.8	11	9.5	35	103	138	2	0	131	129	131	1	1	1
125	0.004	0.000	0.006	0.000	0.000	0.000	36	0.9	4	6.5	45	115	160	2	0	131	131	131	3	0	1
125	0.003	0.000	0.004	0.000	0.000	0.000	37	0.8	5	6.7	30	115	145	2	0	131	130	132	1	0	1
125	0.004	0.000	0.007	0.000	0.000	0.000	33	0.9	2	6.6	48	116	164	2	0	127	131	131	6	-1	1
125	0.004	0.000	0.004	0.000	0.000	0.000	32	1.0	0	6.3	50	114	164	2	0	127	131	130	9	-1	1
125	0.005	0.000	0.004	0.000	0.000	0.000	28	1.2	0	7.9	87	79	166	4	0	131	132	132	8	0	1
125	0.007	0.000	0.005	0.000	0.000	0.000	26	1.3	0	8.0	87	79	166	4	0	131	133	132	11	0	1
127	0.006	0.000	0.006	0.000	0.000	0.000	33	1.0	0	6.7	54	114	168	3	0	131	135	133	12	-1	1
127	0.007	0.000	0.007	0.000	0.000	0.000	34	1.0	0	6.1	54	114	168	1	0	131	136	134	15	-1	1
127	0.010	0.000	0.007	0.001	0.000	0.000	30	1.4	0	6.7	119	63	182	9	0	134	138	137	18	0	1
127	0.005	0.000	0.009	0.000	0.000	0.000	32	1.1	0	7.0	57	114	171	2	0	127	137	135	23	-1	1
127	0.008	0.000	0.007	0.003	0.000	0.000	22	2.1	0	22.7	119	63	182	6	0	131	133	135	32	0	1
127	0.007	0.000	0.007	0.003	0.000	0.000	21	2.2	0	24.9	101	81	182	5	0	131	131	133	26	0	1
127	0.000	0.000	0.008	0.008	0.000	0.000	18	2.5	0	19.1	83	76	159	5	0	120	118	121	20	0	1
127	0.000	0.000	0.007	0.006	0.000	0.000	20	2.2	0	19.3	78	81	159	4	0	131	122	124	23	0	1
127	0.000	0.000	0.009	0.011	0.000	0.000	17	2.8	0	3.7	81	76	157	3	0	114	112	115	16	0	1
127	0.000	0.000	0.007	0.012	0.000	0.000	17	2.8	0	3.7	81	76	157	5	0	114	113	116	16	0	1
127	0.004	0.000	0.008	0.000	0.000	0.000	32	1.0	0	7.5	57	114	171	1	0	131	135	134	14	-1	1
127	0.003	0.000	0.008	0.000	0.000	0.000	33	1.0	0	7.6	32	114	146	0	0	129	130	132	3	0	1
127	0.000	0.000	0.005	0.005	0.000	0.000	19	2.3	0	25.1	78	81	159	2	0	131	123	125	23	0	1
127	0.000	0.000	0.005	0.005	0.000	0.000	19	2.3	0	25.4	78	81	159	4	0	131	125	128	19	0	1
133	0.010	0.000	0.007	0.000	0.000	0.000	32	1.4	0	6.3	83	96	179	5	0	163	149	149	37	0	1
133	0.014	0.000	0.006	0.000	0.000	0.000	31	1.4	0	1.3	83	96	179	7	1	163	151	154	31	1	1
133	0.014	0.000	0.004	0.001	0.000	0.000	28	1.6	0	0.0	89	91	180	7	1	163	152	158	34	1	1
133	0.010	0.000	0.006	0.000	0.000	0.000	33	1.2	0	4.4	82	97	179	7	0	163	156	161	19	1	1
133	0.007	0.000	0.006	0.006	0.000	0.000	17	2.4	0	2.1	98	82	180	4	0	126	137	138	61	0	1
133	0.008	0.000	0.004	0.006	0.000	0.000	16	2.6	0	0.0	98	82	180	5	0	131	138	136	54	0	1
133	0.001	0.000	0.007	0.004	0.000	0.000	27	1.7	13	11.4	95	82	177	4	0	147	133	138	43	0	1
133	0.000	0.000	0.007	0.003	0.000	0.000	31	1.4	16	13.0	82	82	164	5	0	147	135	140	31	1	1
136	0.006	0.000	0.006	0.003	0.000	0.000	36	1.2	12	5.8	79	88	167	2	0	147	140	145	16	1	1
136	0.007	0.000	0.007	0.002	0.000	0.000	31	1.4	0	8.0	79	88	167	2	0	144	140	144	14	1	1
137	0.002	0.000	0.007	0.006	0.000	0.000	27	1.6	0	10.1	81	86	167	2	0	144	136	141	23	1	1
137	0.002	0.000	0.000	0.011	0.000	0.000	20	2.0	0	0.0	74	86	160	1	0	126	128	130	23	0	1
134	0.002	0.000	0.010	0.005	0.000	0.000	26	1.8	10	15.1	82	82	164	5	0	147	133	137	40	1	1
134	0.000	0.000	0.005	0.003	0.000	0.000	31	1.4	17	14.6	82	82	164	4	0	147	135	139	30	1	1
134	0.003	0.000	0.007	0.005	0.000	0.000	25	1.9	11	9.8	96	82	178	5	0	147	135	138	43	0	1
134	0.003	0.000	0.006	0.008	0.000	0.000	14	3.0	0	0.0	98	82	180	3	0	126	129	129	46	0	1
141	0.002	0.000	0.006	0.003	0.000	0.000	36	1.3	9	9.8	79	92	171	6	0	145	143	146	10	1	1
141	0.001	0.000	0.007	0.004	0.000	0.000	28	1.7	2	11.7	86	85	171	9	0	144	141	144	15	1	1
141	0.002	0.000	0.007	0.005	0.000	0.000	25	1.8	1	12.6	86	85	171	9	0	145	141	145	17	1	1
122	0.002	0.000	0.003	0.000	0.000	0.000	21	1.8	0	16.3	44	108	152	1	0	125	127	127	5	0	1
122	0.001	0.000	0.004	0.000	0.000	0.000	21	1.7	0	16.1	48	104	152	2	0	125	126	126	4	0	1
122	0.000	0.000	0.004	0.000	0.000	0.000	23	1.6	1	16.9	41	111	152	2	0	125	127	127	4	0	1
122	0.006	0.000	0.003	0.000	0.000	0.000	20	2.0	0	9.9	43	108	151	0	0	131	129	130	4	0	1
122	0.004	0.000	0.003	0.000	0.000	0.000	20	2.0	0	10.2	42	104	146	0	0	131	128	130	4	0	1
122	0.001	0.000	0.002	0.000	0.000	0.000	27	1.3	0	9.3	27	113	140	1	0	125	125	126	1	0	1
122	0.000	0.000	0.000	0.000	0.000	0.000	29	1.3	0	10.2	27	110	137	0	1	127	126	127	1	0	1
122	0.002	0.000	0.008	0.000	0.000	0.000	26	1.4	1	8.2	36	114	150	2	0	122	126	126	6	-1	1
122	0.000	0.000	0.004	0.000	0.000	0.000	23	1.5	1	9.2	28	113	141	1	0	122	124	124	2	0	1
122	0.016	0.000	0.001	0.000	0.000	0.000	22	2.2	0	1.9	52	100	152	1	0	131	133	134	5	0	1
122	0.018	0.000	0.002	0.000	0.000	0.000	22	2.5	0	2.2	52	100	152	1	0	136	132	134	6	0	1
123	0.012	0.000	0.002	0.000	0.000	0.000	22	2.2	0	6.7	52	100	152	2	0	131	132	133	4	0	1
123	0.017	0.000	0.002	0.000	0.000	0.000	24	2.2	0	1.7	52	100	152	1	0	136	133	135	5	0	1
122	0.001	0.000	0.003	0.000	0.000	0.000	21	1.8	2	14.9	54	100	154	3	0	126	125	127	4	0	1
122	0.000	0.000	0.003	0.000	0.000	0.000	22	1.8	2	15.7	36	104	140	2	0	126	125	127	2	0	1
122	0.003	0.000	0.004	0.000	0.000	0.000	22	1.8	0	14.7	50	103	153	4	0	126	127	128	4	0	1
122	0.000	0.000	0.004	0.000	0.000	0.000	22	1.8	0	15.7	34	106	140	2	1	126	125	127	2	0	1
122	0.004	0.000	0.003	0.000	0.000	0.000	21	1.7	0	14.9	55	104	159	1	1	126	127	128	6	0	1
122	0.002	0.000	0.000	0.000	0.000	0.000	23	1.6	0	16.2	33	109	142	2	1	126	127	128	3	0	1
122	0.007	0.000	0.003	0.000	0.000	0.000	19	2.3	0	12.1	53	104	157	2	1	125	127	128	8	0	1
122	0.000	0.000	0.003	0.000	0.000	0.000	21	2.2	0	17.4	39	104	143	4	2	129	126	128	4	0	1
122	0.003	0.000	0.002	0.001	0.000	0.000	19	2.0	0	17.7	46	102	148	3	0	125	124	126	6	0	1
122	0.000	0.000	0.003	0.000	0.000	0.000	21	2.2	0	17.1	34	104	138	3	2	129	126	128	3	1	1
122	0.002	0.000	0.000	0.002	0.000	0.000	17	2.0	0	18.8	46	102	148	2	0	119	123	123	8	0	1
122	0.002	0.000	0.000	0.000	0.000	0.000	18	1.9	0	19.4	40	108	148	3	0	119	125	125	9	0	1
122	0.003	0.000	0.004	0.000	0.000	0.000	21	2.0	0	12.6	49	107	156	3	0	126	125	126	5	0	1
122	0.005	0.000	0.000	0.000	0.000	0.000	20	2.1	0	9.8	55	101	156	4	1	127	126	127	7	0	1
122	0.000	0.000	0.000	0.001	0.000	0.000	20	1.8	0	13.8	39	103	142	1	0	120	119	121	3	0	1
122	0.000	0.000	0.000	0.000	0.000	0.000	19	1.9	0	15.1	39	103	142	1	0	120	120	122	3	0	1
122	0.000	0.000	0.000	0.000	0.000	0.000	19	1.9	0	15.1	39	103	142	1	0	120	120	122	3	0	1
122	0.000	0.000	0.000	0.000	0.000	0.000	19	1.9	0	15.1	39	103	142	1	0	120	120	122	3	0	1
122	0.000	0.000	0.000	0.000	0.000	0.000	19	1.9	0	15.1	39	103	142	1	0	120	120	122	3	0	1
122	0.000	0.000	0.001	0.001	0.000	0.000	25	1.4	3	9.3	31	105	136	1	0	126	122	124	5	0	1
122	0.000	0.000	0.001	0.000	0.000	0.000	26	1.3	4	9.8	30	106	136	1	0	126	122	125	3	0	1
122	0.001	0.000	0.006	0.001	0.000	0.000	21	1.7	0	14.3	37	105	142	1	0	125	123	125	3	0	1
122	0.001	0.000	0.006	0.000	0.000	0.000	22	1.7	0	13.9	37	105	142	0	0	125	124	126	3	0	1
122	0.000	0.000	0.001	0.001	0.000	0.000	23	1.5	3	9.5	33	103	136	0	0	125	120	122	5	0	1
122	0.000	0.000	0.001	0.000	0.000	0.000	25	1.3	4	9.5	30	106	136	1	0	125	122	124	3	0	1
122	0.001	0.000	0.005	0.001	0.000	0.000	21	1.7	0	14.0	37	105	142	1	0	125	123	125	3	0	1
122	0.002	0.000	0.002	0.000	0.000	0.000	20	1.8	0	15.0	37	105	142	0	0	125	123	125	4	0	1
122	0.004	0.000	0.005	0.000	0.000	0.000	25	1.4	0	8.0	44	104	148	4	0	126	125	127	3	0	1
122	0.004	0.000	0.002	0.000	0.000	0.000	25	1.5	0	8.3	44	104	148	5	0	126	125	126	4	0	1
122	0.002	0.000	0.003	0.000	0.000	0.000	27	1.3	0	8.1	39	104	143	3	0	126	124	126	2	0	1
122	0.000	0.000	0.000	0.000	0.000	0.000	29	1.2	0	8.5	26	107	133	1	0	126	124	126	1	1	1
122	0.006	0.000	0.004	0.001	0.000	0.000	22	1.8	0	11.5	52	96	148	1	0	131	128	130	7	0	1
122	0.006	0.000	0.005	0.000	0.000	0.000	22	1.7	0	13.5	45	103	148	1	0	131	129	131	4	0	1
122	0.005	0.000	0.004	0.005	0.000	0.000	20	2.6	0	17.7	98	60	158	6	0	131	121	126	31	0	1
122	0.003	0.000	0.008	0.008	0.000	0.000	18	3.0	0	16.2	98	60	158	7	0	127	120	124	28	0	1
122	0.002	0.000	0.009	0.009	0.000	0.000	16	3.5	0	23.1	98	60	158	5	0	107	115	115	34	0	1
122	0.000	0.000	0.011	0.011	0.000	0.000	13	3.8	0	23.6	98	60	158	6	1	127	113	115	41	0	1
122	0.002	0.000	0.007	0.007	0.000	0.000	16	3.4	0	19.8	96	62	158	6	0	125	120	124	25	0	1
122	0.003	0.000	0.011	0.008	0.000	0.000	17	3.4	0	18.4	96	62	158	9	0	125	122	126	26	0	1
122	0.000	0.000	0.006	0.002	0.000	0.000	27	1.1	0	10.7	35	101	136	1	0	125	122	124	3	0	1
122	0.000	0.000	0.006	0.004	0.000	0.000	30	1.1	0	7.6	39	93	132	2	0	126	122	125	4	1	1
122	0.000	0.000	0.004	0.001	0.000	0.000	27	1.2	0	10.1	43	93	136	2	0	125	122	124	3	1	1
122	0.000	0.000	0.004	0.000	0.000	0.000	25	1.2	0	11.0	31	105	136	0	0	125	122	124	2	0	1
122	0.000	0.000	0.005	0.003	0.000	0.000	27	1.2	0	10.3	40	92	132	3	2	120	120	123	4	1	1
122	0.000	0.000	0.005	0.005	0.000	0.000	26	1.3	0	9.8	47	85	132	3	2	126	119	123	10	1	1
122	0.004	0.000	0.005	0.004	0.000	0.000	22	1.7	0	7.4	69	74	143	3	0	133	122	127	26	1	1
122	0.004	0.000	0.006	0.006	0.000	0.000	21	1.7	0	6.7	69	74	143	4	0	133	121	126	32	1	1
122	0.000	0.000	0.005	0.003	0.000	0.000	24	1.5	0	10.6	73	77	150	1	2	124	119	123	12	0	1
122	0.000	0.000	0.007	0.007	0.000	0.000	21	1.9	0	5.6	73	77	150	3	2	127	115	117	30	0	1
122	0.000	0.000	0.007	0.008	0.000	0.000	21	1.7	0	8.0	55	81	136	2	1	126	115	118	22	1	1
122	0.000	0.000	0.006	0.009	0.000	0.000	18	1.9	0	8.8	44	91	135	4	0	126	117	121	19	1	1
122	0.000	0.000	0.000	0.006	0.000	0.000	21	1.9	0	9.5	57	82	139	4	0	133	119	124	38	1	1
122	0.007	0.000	0.000	0.002	0.000	0.000	26	1.4	0	5.6	61	85	146	5	0	140	129	134	28	1	1
122	0.008	0.000	0.000	0.002	0.000	0.000	24	1.6	0	8.4	78	79	157	3	0	136	127	131	21	1	1
122	0.009	0.000	0.000	0.000	0.000	0.000	25	1.5	0	10.9	72	85	157	6	2	136	129	133	14	1	1
122	0.003	0.000	0.000	0.009	0.000	0.000	18	2.4	0	4.9	74	69	143	1	1	131	117	120	40	1	1
122	0.001	0.000	0.003	0.012	0.000	0.000	16	2.7	0	5.5	96	56	152	1	2	112	113	116	21	0	1
122	0.000	0.000	0.003	0.014	0.000	0.000	13	3.0	0	0.4	96	56	152	3	2	109	110	112	20	0	1
122	0.000	0.000	0.002	0.015	0.000	0.000	13	3.0	0	0.7	83	69	152	3	0	110	110	113	16	0	1
122	0.007	0.000	0.000	0.003	0.000	0.000	23	1.7	0	9.7	78	79	157	6	0	131	125	130	18	0	1
122	0.010	0.000	0.000	0.002	0.000	0.000	25	1.6	0	9.1	72	85	157	6	2	136	129	133	15	1	1
127	0.009	0.000	0.007	0.002	0.000	0.001	22	1.7	0	0.0	129	52	181	8	0	140	136	142	63	1	1
127	0.010	0.000	0.008	0.002	0.000	0.000	22	1.6	0	0.0	90	91	181	4	1	140	144	146	25	0	1
127	0.011	0.000	0.010	0.001	0.000	0.000	24	1.5	0	1.7	67	109	176	3	0	155	148	152	19	0	1
127	0.010	0.000	0.009	0.001	0.000	0.000	24	1.5	0	0.0	72	109	181	4	0	153	150	154	16	0	1
131	0.006	0.000	0.009	0.000	0.000	0.000	27	1.4	0	19.2	70	110	180	2	0	155	155	156	14	0	1
131	0.011	0.000	0.011	0.000	0.000	0.000	23	1.7	0	6.9	84	110	194	6	0	160	158	161	23	0	1
131	0.011	0.000	0.015	0.000	0.000	0.000	26	1.5	0	3.0	61	109	170	2	1	155	151	154	11	1	1
126	0.009	0.000	0.005	0.000	0.000	0.000	24	1.5	0	9.4	33	122	155	1	1	136	137	138	3	0	1
126	0.009	0.000	0.008	0.000	0.000	0.000	23	1.5	0	10.3	33	122	155	2	0	136	137	139	3	0	1
126	0.000	0.000	0.004	0.000	0.000	0.000	35	1.0	5	7.8	21	121	142	1	0	136	133	135	2	0	1
126	0.000	0.000	0.003	0.000	0.000	0.000	36	0.9	4	7.3	21	121	142	1	0	136	133	135	1	1	1
126	0.002	0.000	0.009	0.000	0.000	0.000	26	1.3	0	9.0	51	114	165	1	0	129	132	131	10	-1	1
126	0.000	0.000	0.010	0.000	0.000	0.000	21	1.5	0	10.4	23	114	137	1	0	129	128	130	1	0	1
126	0.000	0.000	0.004	0.000	0.000	0.000	34	1.0	4	8.3	24	118	142	2	0	136	132	134	2	0	1
126	0.004	0.000	0.003	0.000	0.000	0.000	28	1.2	0	10.3	43	118	161	3	1	131	134	133	9	-1	1
126	0.000	0.000	0.005	0.000	0.000	0.000	23	1.4	0	12.2	42	101	143	3	0	126	128	129	2	0	1
126	0.003	0.000	0.004	0.000	0.000	0.000	25	1.3	0	11.9	56	101	157	2	0	126	131	130	9	0	1
126	0.004	0.000	0.006	0.000	0.000	0.000	29	1.3	0	9.2	65	103	168	2	0	127	134	133	18	0	1
126	0.000	0.000	0.005	0.000	0.000	0.000	28	1.3	0	10.8	34	107	141	1	0	127	128	128	3	0	1
126	0.006	0.000	0.005	0.000	0.000	0.000	27	1.3	0	5.6	58	103	161	2	0	133	135	135	10	0	1
126	0.006	0.000	0.006	0.000	0.000	0.000	25	1.4	0	6.3	48	107	155	2	0	133	135	135	9	0	1
126	0.006	0.000	0.010	0.000	0.000	0.000	27	1.3	0	6.3	43	113	156	3	0	129	134	134	10	0	1
126	0.007	0.000	0.007	0.000	0.000	0.000	30	1.2	0	4.3	49	107	156	3	0	127	134	134	11	0	1
126	0.007	0.000	0.007	0.000	0.000	0.000	30	1.2	0	4.2	49	107	156	3	0	127	134	134	11	0	1
126	0.005	0.000	0.010	0.000	0.000	0.000	29	1.2	0	4.8	36	108	144	3	0	127	131	131	4	0	1
120	0.000	0.000	0.009	0.000	0.000	0.000	49	0.9	4	15.2	39	95	134	5	0	122	120	122	3	1	1
120	0.000	0.000	0.012	0.000	0.000	0.000	51	0.7	4	11.4	26	103	129	1	0	122	119	121	2	1	1
120	0.000	0.000	0.012	0.000	0.000	0.000	53	0.7	2	10.4	20	107	127	2	0	122	119	121	2	1	1
120	0.001	0.000	0.008	0.001	0.000	0.000	47	1.0	2	9.8	67	73	140	9	0	116	121	121	9	1	1
120	0.000	0.000	0.007	0.000	0.000	0.000	49	0.8	2	10.5	32	104	136	4	0	116	120	121	4	0	1
120	0.000	0.000	0.007	0.000	0.000	0.000	50	0.8	2	10.2	29	104	133	2	0	116	119	120	3	0	1
133	0.002	0.000	0.006	0.000	0.000	0.000	50	0.9	1	10.8	46	115	161	2	1	135	136	137	3	0	1
133	0.002	0.000	0.006	0.000	0.000	0.000	49	1.0	1	11.4	60	101	161	4	1	135	136	137	4	0	1
133	0.003	0.000	0.007	0.000	0.000	0.000	52	0.7	1	9.2	67	94	161	4	0	136	137	138	2	0	1
133	0.002	0.000	0.007	0.000	0.000	0.000	52	0.7	2	8.6	38	113	151	1	1	136	136	137	1	0	1
133	0.004	0.000	0.005	0.000	0.000	0.000	41	1.1	9	13.0	82	86	168	4	1	139	143	144	9	1	1
133	0.003	0.000	0.005	0.000	0.000	0.000	38	1.1	0	12.5	58	113	171	5	1	150	147	149	5	0	1
138	0.012	0.000	0.005	0.000	0.000	0.000	37	1.2	0	4.1	48	120	168	0	1	146	147	148	4	0	1
138	0.008	0.000	0.005	0.000	0.000	0.000	37	1.2	0	5.2	52	116	168	2	0	146	146	147	4	0	1
133	0.001	0.000	0.006	0.000	0.000	0.000	50	0.8	5	11.3	57	94	151	3	0	136	136	137	1	1	1
133	0.000	0.000	0.006	0.000	0.000	0.000	53	0.7	2	9.8	34	113	147	4	1	136	136	138	1	1	1
143	0.005	0.000	0.005	0.000	0.000	0.000	44	1.1	5	12.2	45	128	173	4	0	147	148	149	4	0	1
143	0.005	0.000	0.005	0.000	0.000	0.000	37	1.0	0	9.5	44	130	174	4	0	147	148	149	5	0	1
143	0.004	0.000	0.005	0.000	0.000	0.000	44	0.9	6	9.4	43	130	173	7	0	147	148	148	4	0	1
143	0.006	0.000	0.006	0.000	0.000	0.000	43	0.9	12	5.9	34	132	166	2	0	147	148	149	2	0	1
143	0.003	0.000	0.008	0.000	0.000	0.000	47	0.7	0	10.9	33	137	170	2	1	155	154	156	3	0	1
143	0.004	0.000	0.008	0.000	0.000	0.000	48	0.7	0	10.6	38	136	174	2	1	155	155	157	2	0	1
143	0.000	0.000	0.006	0.000	0.000	0.000	63	0.5	35	6.5	33	128	161	4	0	147	146	148	0	0	2
136	0.005	0.000	0.006	0.000	0.000	0.000	46	0.8	1	7.4	39	119	158	1	1	144	143	145	1	0	1
136	0.006	0.000	0.008	0.000	0.000	0.000	45	0.8	2	6.4	29	129	158	2	0	144	143	145	1	0	1
136	0.003	0.000	0.006	0.000	0.000	0.000	48	0.7	2	9.4	42	121	163	1	1	144	144	145	2	0	1
136	0.000	0.000	0.003	0.000	0.000	0.000	47	0.9	2	10.6	39	119	158	2	1	144	143	145	1	0	1
137	0.001	0.000	0.005	0.000	0.000	0.000	59	0.5	25	7.1	31	132	163	2	1	142	141	142	2	-1	1
137	0.000	0.000	0.004	0.000	0.000	0.000	61	0.4	34	5.9	15	132	147	1	0	142	140	142	0	0	2
137	0.001	0.000	0.005	0.000	0.000	0.000	61	0.4	45	5.1	22	133	155	2	0	142	140	142	0	0	2
137	0.001	0.000	0.006	0.000	0.000	0.000	63	0.4	49	4.8	22	133	155	2	0	142	141	142	0	0	2
137	0.001	0.000	0.005	0.000	0.000	0.000	62	0.4	42	5.4	22	133	155	2	0	142	140	142	0	0	2
137	0.001	0.000	0.007	0.000	0.000	0.000	60	0.4	33	5.8	22	133	155	2	0	142	140	142	1	0	2
135	0.000	0.000	0.007	0.001	0.000	0.000	58	0.5	32	6.1	31	117	148	4	0	140	139	141	1	1	1
135	0.000	0.000	0.007	0.000	0.000	0.000	59	0.5	32	6.1	16	132	148	1	0	140	140	142	0	0	1
135	0.000	0.000	0.007	0.001	0.000	0.000	54	0.5	12	9.0	32	117	149	2	0	140	137	140	2	1	1
135	0.000	0.000	0.005	0.003	0.000	0.000	51	0.6	2	8.9	30	116	146	1	0	138	134	137	3	1	1
135	0.000	0.000	0.007	0.001	0.000	0.000	52	0.6	7	9.8	32	117	149	1	0	140	137	139	2	0	1
135	0.000	0.000	0.007	0.000	0.000	0.000	50	0.6	0	12.2	34	118	152	0	0	137	136	138	1	0	1
135	0.006	0.000	0.007	0.000	0.000	0.000	48	0.7	1	8.1	42	120	162	5	0	139	141	142	4	0	1
135	0.010	0.000	0.006	0.000	0.000	0.000	50	0.7	2	1.8	46	122	168	3	0	139	142	143	4	0	1
135	0.007	0.000	0.007	0.000	0.000	0.000	47	0.8	2	10.0	39	120	159	1	0	139	139	141	3	0	1
135	0.002	0.000	0.007	0.000	0.000	0.000	47	0.8	2	13.3	36	120	156	1	0	139	138	139	2	0	1
125	0.001	0.000	0.004	0.000	0.000	0.000	43	0.7	31	7.8	21	120	141	0	0	131	130	132	1	0	1
125	0.000	0.000	0.005	0.000	0.000	0.000	45	0.7	33	7.7	19	122	141	0	0	131	130	131	1	0	1
125	0.002	0.000	0.005	0.000	0.000	0.000	40	0.7	9	8.1	29	122	151	1	0	131	132	132	2	-1	1
125	0.000	0.000	0.004	0.000	0.000	0.000	44	0.7	15	8.7	21	120	141	0	0	131	130	131	1	0	1
126	0.001	0.000	0.005	0.000	0.000	0.000	34	0.9	3	10.2	41	110	151	2	0	126	128	129	4	0	1
126	0.000	0.000	0.004	0.000	0.000	0.000	32	0.9	4	11.2	31	110	141	1	0	126	125	127	2	0	1
125	0.001	0.000	0.005	0.000	0.000	0.000	31	1.1	1	12.5	38	109	147	4	0	125	125	127	3	0	1
125	0.000	0.000	0.008	0.000	0.000	0.000	32	1.1	3	13.0	51	96	147	4	0	126	125	127	2	0	1
125	0.002	0.000	0.004	0.001	0.000	0.000	30	1.1	3	11.0	45	102	147	1	0	126	127	128	3	0	1
125	0.003	0.000	0.004	0.000	0.000	0.000	32	1.0	5	10.7	47	100	147	1	0	126	127	128	3	0	1
125	0.003	0.000	0.004	0.001	0.000	0.000	32	1.0	7	8.4	54	93	147	2	0	126	126	128	3	0	1
125	0.002	0.000	0.004	0.002	0.000	0.000	36	1.0	10	9.6	54	93	147	1	0	126	127	128	3	0	1
115	0.002	0.000	0.006	0.002	0.000	0.000	19	1.7	0	14.2	59	89	148	1	1	120	118	121	5	0	1
115	0.004	0.000	0.007	0.001	0.000	0.000	20	1.7	0	9.9	78	79	157	4	2	120	121	123	7	0	1
115	0.007	0.000	0.008	0.000	0.000	0.000	20	1.7	0	3.5	78	79	157	6	3	123	124	125	7	0	1
115	0.005	0.000	0.006	0.001	0.000	0.000	23	1.5	0	10.8	57	94	151	2	0	120	121	122	6	0	1
115	0.000	0.000	0.005	0.002	0.000	0.000	20	1.7	0	14.0	59	89	148	1	1	120	118	121	4	0	1
115	0.006	0.000	0.007	0.000	0.000	0.000	24	1.4	0	13.0	51	102	153	0	0	112	120	121	16	0	1
115	0.005	0.000	0.005	0.000	0.000	0.000	22	1.5	0	13.2	51	102	153	2	0	112	118	117	11	-1	1
112	0.005	0.000	0.004	0.000	0.000	0.000	24	1.3	5	10.5	40	103	143	1	0	114	114	115	4	-1	1
112	0.000	0.000	0.004	0.000	0.000	0.000	23	1.3	10	12.5	40	104	144	0	0	112	113	113	2	-1	1
112	0.010	0.000	0.005	0.000	0.000	0.000	24	1.3	5	6.0	39	105	144	0	0	114	116	116	5	-1	1
112	0.018	0.000	0.007	0.000	0.000	0.000	25	1.4	0	0.6	35	109	144	0	0	116	120	119	6	-1	1
112	0.009	0.000	0.006	0.000	0.000	0.000	24	1.3	6	6.4	37	105	142	1	0	114	116	115	4	-1	1
112	0.008	0.000	0.006	0.000	0.000	0.000	25	1.3	0	7.3	37	105	142	1	0	114	115	115	4	-1	1
112	0.003	0.000	0.004	0.000	0.000	0.000	24	1.3	8	10.4	40	104	144	0	1	114	114	114	3	-1	1
112	0.000	0.000	0.004	0.000	0.000	0.000	23	1.3	11	13.0	40	104	144	1	0	112	113	114	2	-1	1
120	0.008	0.000	0.003	0.000	0.000	0.000	20	1.7	0	5.8	42	109	151	2	0	122	126	125	8	0	1
118	0.001	0.000	0.003	0.001	0.000	0.000	26	1.4	0	11.0	56	94	150	3	0	120	118	119	6	0	1
118	0.003	0.000	0.000	0.003	0.000	0.000	24	1.7	0	7.1	62	88	150	4	1	114	116	116	12	0	1
118	0.001	0.000	0.007	0.001	0.000	0.000	25	1.3	0	10.9	61	89	150	5	0	120	119	120	6	0	1
118	0.000	0.000	0.007	0.000	0.000	0.000	26	1.2	0	11.1	44	100	144	3	0	120	119	120	2	0	1
118	0.002	0.000	0.005	0.002	0.000	0.000	25	1.4	22	7.9	88	72	160	2	2	126	120	123	11	0	1
118	0.002	0.000	0.004	0.002	0.000	0.000	25	1.5	35	6.5	90	70	160	2	2	126	120	124	13	0	1
118	0.000	0.000	0.008	0.002	0.000	0.000	21	1.5	0	10.3	55	89	144	1	1	123	118	121	6	0	1
118	0.000	0.000	0.002	0.002	0.000	0.000	24	1.5	0	9.7	55	89	144	1	1	125	118	121	10	0	1
119	0.003	0.000	0.004	0.001	0.000	0.000	26	1.4	23	6.3	88	72	160	1	1	126	123	126	7	0	1
119	0.004	0.000	0.007	0.001	0.000	0.000	23	1.5	5	7.9	75	70	145	1	1	126	122	125	9	1	1
119	0.004	0.000	0.007	0.000	0.000	0.000	24	1.4	2	11.1	42	103	145	1	0	125	124	126	4	0	1
119	0.000	0.000	0.002	0.000	0.000	0.000	25	1.3	9	9.3	40	103	143	3	0	126	122	124	4	0	1
119	0.003	0.000	0.006	0.000	0.000	0.000	25	1.3	0	13.8	39	106	145	0	0	120	123	123	5	0	1
119	0.000	0.000	0.003	0.000	0.000	0.000	23	1.5	0	16.1	39	106	145	3	1	125	124	126	3	0	1
119	0.001	0.000	0.006	0.000	0.000	0.000	26	1.2	0	13.8	39	106	145	1	0	120	122	122	3	0	1
119	0.000	0.000	0.006	0.000	0.000	0.000	24	1.4	0	15.5	39	106	145	3	0	125	124	126	3	0	1
119	0.000	0.000	0.007	0.000	0.000	0.000	27	1.2	0	13.0	37	109	146	1	0	120	120	121	1	-1	1
119	0.000	0.000	0.009	0.000	0.000	0.000	27	1.2	0	13.4	36	110	146	1	0	120	120	121	1	-1	1
115	0.005	0.000	0.006	0.001	0.000	0.000	20	1.6	0	10.7	86	71	157	5	0	116	119	118	11	0	1
115	0.007	0.000	0.006	0.000	0.000	0.000	20	1.6	0	9.4	82	75	157	3	0	120	121	121	8	0	1
115	0.006	0.000	0.006	0.001	0.000	0.000	20	1.7	0	10.8	88	69	157	5	0	114	118	118	13	0	1
115	0.005	0.000	0.005	0.002	0.000	0.000	20	1.7	0	10.6	84	69	153	5	0	114	117	116	13	0	1
115	0.008	0.000	0.007	0.000	0.000	0.000	20	1.7	0	9.6	56	101	157	2	0	114	118	118	10	-1	1
115	0.000	0.000	0.005	0.000	0.000	0.000	21	1.6	0	13.1	41	100	141	1	0	114	113	114	2	-1	1
115	0.007	0.000	0.006	0.000	0.000	0.001	17	2.0	0	13.9	73	84	157	0	1	120	117	119	13	0	1
115	0.013	0.000	0.002	0.000	0.000	0.000	19	1.8	0	6.7	56	101	157	1	1	120	121	121	9	0	1
112	0.005	0.000	0.007	0.002	0.000	0.000	17	2.0	1	9.0	66	78	144	0	1	112	112	113	9	0	1
112	0.002	0.000	0.006	0.003	0.000	0.000	17	2.0	0	11.6	66	78	144	3	1	112	109	111	9	0	1
112	0.003	0.000	0.007	0.002	0.000	0.000	21	1.7	2	9.9	60	84	144	1	1	114	113	115	7	0	1
112	0.000	0.000	0.007	0.005	0.000	0.000	16	2.2	3	10.4	62	78	140	3	1	112	108	110	10	0	1
112	0.002	0.000	0.007	0.001	0.000	0.000	23	1.5	1	9.2	55	89	144	5	0	114	114	116	4	0	1
112	0.000	0.000	0.005	0.000	0.000	0.000	26	1.3	0	10.1	37	90	127	2	1	114	114	116	2	1	1
112	0.003	0.000	0.004	0.000	0.000	0.000	26	1.2	1	8.4	54	90	144	4	2	120	116	117	4	0	1
112	0.000	0.000	0.006	0.000	0.000	0.000	25	1.3	0	9.3	34	104	138	4	1	119	116	118	2	0	1
115	0.005	0.000	0.009	0.002	0.000	0.001	17	2.0	0	6.8	89	80	169	3	1	121	115	119	25	0	1
115	0.002	0.000	0.009	0.004	0.000	0.002	15	2.3	0	5.6	92	77	169	4	1	114	109	110	33	-1	1
115	0.003	0.000	0.009	0.001	0.000	0.000	21	1.7	0	10.7	83	85	168	2	0	129	122	125	19	0	1
115	0.000	0.000	0.008	0.005	0.000	0.000	15	2.2	0	6.8	55	84	139	4	0	119	111	115	19	0	1
115	0.004	0.000	0.010	0.001	0.000	0.000	22	1.7	0	10.2	102	76	178	3	2	129	124	128	17	0	1
115	0.006	0.000	0.008	0.000	0.000	0.000	19	1.7	0	7.9	55	89	144	2	1	126	121	123	9	0	1
115	0.003	0.000	0.008	0.002	0.000	0.001	24	1.6	0	10.1	108	71	179	3	2	133	122	129	45	0	1
115	0.001	0.000	0.009	0.001	0.000	0.001	25	1.7	0	10.3	108	71	179	3	2	129	122	130	42	0	1
115	0.004	0.000	0.008	0.002	0.000	0.001	23	1.9	0	8.5	123	71	194	4	0	131	129	132	59	0	1
115	0.006	0.000	0.007	0.003	0.000	0.001	21	2.3	0	1.7	125	71	196	3	0	145	127	130	127	0	1
114	0.007	0.000	0.010	0.002	0.000	0.001	19	2.8	0	12.2	127	71	198	5	0	145	133	136	114	0	1
114	0.011	0.000	0.011	0.000	0.000	0.000	18	3.0	0	14.9	122	76	198	4	1	145	146	147	65	0	1
136	0.002	0.000	0.005	0.006	0.000	0.001	24	1.6	0	3.9	115	60	175	8	0	136	128	135	35	0	1
136	0.000	0.000	0.005	0.007	0.000	0.001	25	1.6	0	4.0	98	60	158	6	0	136	126	134	34	1	1
136	0.006	0.000	0.005	0.001	0.000	0.000	39	0.8	0	4.5	63	115	178	5	0	148	152	152	12	0	1
137	0.005	0.000	0.005	0.002	0.000	0.000	36	0.9	0	5.0	63	115	178	4	0	148	148	149	9	0	1
138	0.000	0.000	0.007	0.002	0.000	0.000	34	1.0	6	10.5	56	99	155	5	0	148	142	146	9	1	1
138	0.000	0.000	0.007	0.002	0.000	0.000	34	1.0	7	9.6	62	93	155	5	0	148	142	146	10	1	1
138	0.002	0.000	0.007	0.005	0.000	0.000	32	1.1	16	6.6	78	97	175	5	0	145	139	144	16	0	1
138	0.000	0.000	0.006	0.005	0.000	0.000	33	1.0	18	6.7	67	97	164	2	0	145	139	144	12	1	1
138	0.003	0.000	0.008	0.006	0.000	0.000	28	1.3	9	3.5	90	85	175	6	0	144	134	138	31	0	1
138	0.007	0.000	0.007	0.007	0.000	0.000	28	1.4	16	1.6	90	85	175	8	0	143	136	141	32	0	1
126	0.007	0.008	0.005	0.007	0.000	0.001	21	2.3	0	4.2	107	67	174	6	0	143	125	133	78	0	1
125	0.014	0.010	0.005	0.005	0.000	0.000	22	2.2	0	0.0	107	67	174	7	1	134	134	138	21	0	1
125	0.015	0.010	0.005	0.003	0.000	0.000	22	2.1	0	0.0	107	67	174	4	0	134	136	138	16	0	1
125	0.007	0.007	0.005	0.007	0.000	0.001	21	2.3	0	4.3	107	67	174	7	0	143	125	134	79	0	1
125	0.008	0.007	0.007	0.005	0.000	0.000	23	2.1	0	5.5	125	53	178	8	0	143	128	137	65	1	1
125	0.004	0.012	0.005	0.006	0.000	0.000	23	2.2	0	7.4	125	53	178	8	0	143	122	131	92	0	1
125	0.003	0.012	0.004	0.006	0.000	0.000	22	2.2	0	8.5	125	53	178	9	0	143	123	131	84	0	1
125	0.000	0.012	0.005	0.007	0.000	0.000	22	2.3	0	8.5	125	53	178	8	0	143	122	130	94	0	1
125	0.002	0.014	0.006	0.008	0.000	0.000	18	2.7	0	6.3	125	53	178	10	0	131	115	121	72	0	1
128	0.008	0.007	0.004	0.004	0.000	0.001	20	2.2	0	1.9	107	67	174	4	0	134	126	133	47	0	1
128	0.007	0.008	0.005	0.005	0.000	0.001	19	2.4	0	1.9	107	67	174	7	0	134	123	129	57	0	1
128	0.006	0.010	0.004	0.005	0.000	0.001	22	2.2	0	6.3	109	65	174	7	0	143	126	134	70	0	1
128	0.000	0.012	0.005	0.007	0.000	0.002	22	2.3	0	8.4	125	53	178	9	0	143	121	130	97	0	1
128	0.003	0.009	0.007	0.005	0.000	0.001	24	2.0	0	9.0	91	65	156	6	0	133	125	131	42	1	1
128	0.001	0.011	0.005	0.004	0.000	0.001	22	2.2	0	9.4	125	53	178	7	0	143	123	130	80	0	1
128	0.004	0.010	0.005	0.005	0.000	0.001	25	2.0	0	7.3	91	65	156	8	0	133	125	131	41	1	1
128	0.000	0.014	0.008	0.006	0.000	0.002	17	2.7	0	8.7	125	53	178	9	0	133	114	122	73	0	1
128	0.005	0.011	0.004	0.005	0.000	0.000	30	1.7	0	7.0	118	59	177	7	1	133	128	133	30	0	1
128	0.006	0.006	0.005	0.004	0.000	0.000	32	1.5	0	5.4	90	68	158	6	0	133	133	135	16	1	1
128	0.007	0.010	0.004	0.006	0.000	0.000	31	1.7	0	3.7	109	68	177	11	0	137	128	135	40	0	1
128	0.008	0.010	0.004	0.005	0.000	0.000	31	1.7	0	2.9	141	57	198	11	0	137	130	137	41	0	1
128	0.008	0.010	0.003	0.005	0.000	0.000	30	1.9	0	3.8	141	57	198	12	0	137	127	136	49	0	1
128	0.008	0.010	0.003	0.005	0.000	0.000	27	1.9	0	1.1	141	57	198	12	0	135	125	135	59	0	1
128	0.007	0.007	0.004	0.006	0.000	0.001	21	2.3	0	5.2	107	67	174	7	0	143	126	135	76	0	1
128	0.003	0.006	0.003	0.006	0.000	0.003	14	2.7	0	0.0	89	67	156	4	0	115	115	116	44	0	1
128	0.006	0.010	0.005	0.005	0.000	0.001	22	2.2	0	6.6	109	65	174	6	0	143	127	135	71	0	1
128	0.000	0.011	0.004	0.006	0.000	0.002	22	2.4	0	9.2	125	53	178	11	0	143	121	131	101	0	1
128	0.005	0.010	0.005	0.005	0.000	0.001	26	2.0	0	8.2	91	65	156	8	0	133	126	132	41	1	1
128	0.000	0.016	0.010	0.008	0.000	0.002	16	2.9	0	7.8	125	53	178	9	0	133	114	121	74	0	1
128	0.004	0.010	0.005	0.004	0.000	0.001	29	1.6	0	6.4	91	65	156	8	0	133	129	133	27	1	1
128	0.005	0.008	0.004	0.005	0.000	0.000	29	1.6	0	7.1	90	68	158	6	0	133	131	133	19	1	1
128	0.007	0.009	0.003	0.005	0.000	0.000	32	1.6	0	3.5	109	68	177	11	0	137	129	135	35	0	1
128	0.008	0.008	0.004	0.005	0.000	0.000	33	1.5	0	3.9	141	57	198	8	0	137	132	136	21	0	1
128	0.006	0.011	0.004	0.004	0.000	0.001	29	1.7	0	5.8	115	62	177	11	0	137	128	133	37	0	1
128	0.011	0.011	0.005	0.003	0.000	0.000	36	1.6	0	4.9	124	59	183	5	0	137	135	139	18	0	1
128	0.003	0.017	0.003	0.003	0.000	0.003	30	2.0	0	6.0	111	54	165	14	0	129	112	129	103	1	2
128	0.000	0.019	0.003	0.003	0.000	0.003	29	2.2	0	7.2	145	54	199	14	0	129	107	124	126	0	3
128	0.000	0.019	0.003	0.002	0.000	0.003	30	2.1	0	8.6	128	54	182	12	0	129	104	120	134	0	3
128	0.000	0.025	0.003	0.003	0.000	0.003	34	2.4	0	3.6	145	54	199	11	1	75	98	86	144	-1	3
128	0.000	0.028	0.004	0.004	0.000	0.004	36	2.6	0	0.0	120	54	174	8	2	75	91	79	108	-1	3
131	0.001	0.000	0.005	0.003	0.000	0.000	27	1.4	0	12.2	84	71	155	2	0	136	132	137	15	1	1
131	0.000	0.000	0.006	0.004	0.000	0.000	19	1.9	0	12.3	81	70	151	3	1	127	126	130	21	1	1
132	0.001	0.000	0.005	0.002	0.000	0.000	28	1.3	0	13.3	79	76	155	3	2	140	135	138	11	1	1
132	0.000	0.000	0.005	0.000	0.000	0.000	33	1.0	0	13.3	35	120	155	1	0	138	138	139	2	0	1
132	0.005	0.000	0.002	0.003	0.000	0.000	25	1.5	0	11.0	92	76	168	4	2	141	138	140	16	1	1
132	0.001	0.000	0.004	0.004	0.000	0.000	24	1.5	0	12.0	77	76	153	5	2	140	133	137	17	1	1
132	0.010	0.000	0.003	0.005	0.000	0.000	20	2.1	0	2.9	99	76	175	5	0	141	138	142	29	1	1
132	0.009	0.000	0.003	0.006	0.000	0.000	19	2.3	0	4.0	100	76	176	6	1	145	138	143	36	1	1
132	0.010	0.000	0.003	0.004	0.000	0.000	21	2.0	0	6.3	95	80	175	6	2	143	139	142	23	0	1
132	0.010	0.000	0.000	0.000	0.000	0.000	26	1.4	0	4.0	58	110	168	2	1	145	146	147	11	0	1
132	0.008	0.000	0.002	0.004	0.000	0.000	22	1.9	0	7.8	95	80	175	7	2	143	140	143	22	0	1
132	0.008	0.000	0.002	0.005	0.000	0.000	20	2.1	0	8.0	102	74	176	9	2	141	136	140	24	0	1
132	0.005	0.000	0.002	0.003	0.000	0.000	26	1.5	0	7.5	94	68	162	9	1	143	137	142	26	1	1
132	0.002	0.000	0.002	0.003	0.000	0.000	29	1.5	0	8.6	102	67	169	11	1	143	136	141	33	1	1
132	0.002	0.000	0.003	0.003	0.000	0.000	28	1.4	0	8.4	94	68	162	11	1	143	137	142	26	1	1
132	0.000	0.000	0.004	0.000	0.000	0.000	23	1.5	0	13.1	42	106	148	5	0	138	136	138	3	1	1
133	0.003	0.000	0.004	0.004	0.000	0.000	30	1.5	0	5.3	102	67	169	9	1	147	137	144	40	1	1
134	0.001	0.000	0.003	0.004	0.000	0.000	29	1.6	0	5.2	102	67	169	10	1	147	136	143	45	1	1
134	0.000	0.000	0.004	0.006	0.000	0.000	28	1.9	0	5.5	102	67	169	11	2	148	133	140	66	1	1
134	0.000	0.000	0.002	0.005	0.000	0.000	30	1.6	0	4.8	102	67	169	10	2	148	135	142	50	1	1
144	0.000	0.000	0.008	0.001	0.000	0.000	60	0.4	8	7.2	33	123	156	0	0	147	145	148	2	1	2
144	0.000	0.000	0.008	0.000	0.000	0.000	61	0.4	10	7.6	20	136	156	2	0	148	146	148	1	0	2
121	0.008	0.000	0.005	0.000	0.000	0.000	32	1.0	0	2.6	47	110	157	1	0	131	131	131	8	0	1
121	0.008	0.000	0.006	0.001	0.000	0.000	27	1.2	0	3.3	67	90	157	4	0	129	129	129	12	0	1
121	0.004	0.000	0.009	0.002	0.000	0.000	24	1.5	0	4.9	67	90	157	2	0	120	125	123	16	0	1
121	0.007	0.000	0.010	0.004	0.000	0.000	21	1.9	0	2.9	83	74	157	2	0	125	123	126	19	0	1
121	0.006	0.000	0.008	0.004	0.000	0.000	24	1.7	0	4.1	72	74	146	4	0	129	121	126	25	1	1
121	0.003	0.000	0.007	0.006	0.000	0.000	25	1.6	0	3.8	73	71	144	2	0	120	114	119	29	1	1
121	0.003	0.000	0.006	0.006	0.000	0.000	25	1.5	0	4.4	73	71	144	4	0	122	112	117	34	0	1
121	0.003	0.000	0.007	0.005	0.000	0.001	26	1.4	0	1.1	73	71	144	6	0	123	112	117	36	0	1
121	0.000	0.000	0.003	0.005	0.000	0.002	24	1.5	0	0.0	68	71	139	2	0	123	106	108	53	0	2
121	0.000	0.000	0.003	0.005	0.000	0.002	24	1.5	0	0.0	68	71	139	2	0	123	106	108	53	0	1
121	0.001	0.000	0.008	0.006	0.000	0.001	27	1.4	0	4.4	69	70	139	4	0	114	110	114	24	0	1
121	0.000	0.000	0.008	0.008	0.000	0.000	28	1.4	0	5.7	67	70	137	2	1	114	112	116	21	1	1
121	0.004	0.000	0.009	0.004	0.000	0.000	34	1.1	0	6.3	83	70	153	5	1	127	123	126	29	1	1
121	0.000	0.000	0.007	0.007	0.000	0.000	28	1.3	0	5.6	67	70	137	3	1	114	113	117	20	1	1
121	0.004	0.000	0.009	0.003	0.000	0.000	37	1.0	0	6.6	71	82	153	6	0	136	126	129	35	1	1
121	0.006	0.000	0.009	0.000	0.000	0.000	39	0.9	0	8.6	58	95	153	4	0	150	131	132	47	0	1
121	0.005	0.000	0.008	0.002	0.000	0.000	37	0.9	0	7.5	71	82	153	5	0	150	128	130	68	1	1
121	0.007	0.000	0.010	0.000	0.000	0.000	41	0.8	0	6.6	48	105	153	3	0	150	135	137	32	1	1
142	0.000	0.000	0.007	0.000	0.000	0.000	60	0.4	8	7.7	20	136	156	0	0	147	146	148	1	0	2
142	0.000	0.000	0.007	0.000	0.000	0.000	58	0.4	9	7.9	20	136	156	0	0	148	147	149	1	0	1
142	0.000	0.000	0.007	0.000	0.000	0.000	60	0.4	17	6.8	21	142	163	0	0	153	152	153	1	0	2
142	0.000	0.000	0.008	0.000	0.000	0.000	58	0.4	22	6.3	13	145	158	0	0	153	151	153	0	0	1
142	0.000	0.000	0.006	0.000	0.000	0.000	59	0.4	32	6.3	22	141	163	1	0	155	153	155	1	0	2
142	0.000	0.000	0.006	0.000	0.000	0.000	58	0.4	31	6.1	22	141	163	2	0	155	153	155	1	0	2
142	0.001	0.000	0.007	0.004	0.000	0.000	49	0.9	28	5.8	114	68	182	2	0	153	146	154	37	1	1
142	0.001	0.000	0.008	0.007	0.000	0.000	41	1.2	22	5.3	115	67	182	1	0	157	140	149	73	1	1
142	0.002	0.000	0.008	0.007	0.000	0.000	41	1.4	27	4.6	115	67	182	4	0	157	140	150	80	1	1
142	0.000	0.000	0.009	0.007	0.000	0.000	44	1.5	33	5.7	115	67	182	2	1	157	141	153	87	1	1
142	0.004	0.000	0.006	0.011	0.000	0.000	32	1.8	0	0.0	115	67	182	2	0	157	133	142	115	1	1
142	0.003	0.000	0.005	0.013	0.000	0.000	25	2.1	0	0.0	115	67	182	2	0	143	128	133	83	0	1
145	0.000	0.000	0.001	0.000	0.000	0.000	50	0.7	17	7.3	42	125	167	8	0	153	154	155	2	1	2
145	0.002	0.000	0.002	0.000	0.000	0.000	50	0.7	12	6.5	65	103	168	8	0	153	155	156	3	1	2
145	0.000	0.000	0.003	0.000	0.000	0.000	51	0.6	13	8.3	24	141	165	1	0	153	152	153	1	0	2
145	0.000	0.000	0.003	0.000	0.000	0.000	51	0.7	7	8.4	24	141	165	1	0	153	152	153	1	0	2
145	0.005	0.000	0.002	0.000	0.000	0.000	46	0.8	0	8.6	67	104	171	4	0	155	153	154	4	1	1
145	0.005	0.000	0.003	0.000	0.000	0.000	46	0.8	0	8.4	31	140	171	2	0	153	152	152	3	0	1
145	0.005	0.000	0.004	0.000	0.000	0.000	51	0.7	5	7.7	67	104	171	5	0	149	153	154	5	1	1
145	0.004	0.000	0.007	0.000	0.000	0.000	55	0.6	8	5.9	27	138	165	5	0	149	150	151	2	0	1
145	0.004	0.000	0.006	0.000	0.000	0.000	55	0.6	8	6.6	73	93	166	5	0	149	150	151	1	1	1
145	0.000	0.000	0.008	0.000	0.000	0.000	57	0.6	10	8.2	66	93	159	4	0	149	149	150	1	1	1
142	0.002	0.000	0.005	0.000	0.000	0.000	51	0.8	9	9.5	50	112	162	8	0	153	149	151	4	1	2
142	0.000	0.000	0.003	0.000	0.000	0.000	52	0.8	10	11.0	71	89	160	6	0	153	149	153	5	1	2
142	0.009	0.000	0.007	0.000	0.000	0.000	43	0.9	0	6.1	46	127	173	3	0	149	149	150	4	0	1
142	0.013	0.000	0.008	0.000	0.000	0.000	41	1.0	0	0.7	44	134	178	4	0	149	152	152	5	0	1
142	0.008	0.000	0.007	0.000	0.000	0.000	44	0.9	0	7.0	46	127	173	2	0	149	149	150	4	0	1
142	0.002	0.000	0.008	0.000	0.000	0.000	48	0.7	0	8.8	39	123	162	3	0	149	147	149	2	0	1
142	0.009	0.000	0.009	0.000	0.000	0.000	41	1.0	0	7.2	41	132	173	3	0	150	150	151	3	0	1
142	0.008	0.000	0.006	0.000	0.000	0.000	42	1.0	0	8.5	61	106	167	2	0	150	149	151	3	1	1
142	0.006	0.000	0.007	0.000	0.000	0.000	42	1.0	0	11.4	97	74	171	6	0	148	148	149	5	1	1
142	0.002	0.000	0.007	0.000	0.000	0.000	42	1.0	0	12.2	61	130	191	4	0	148	147	149	2	-1	1
142	0.006	0.000	0.006	0.000	0.000	0.000	41	1.0	0	10.2	57	111	168	5	0	147	147	149	4	0	1
142	0.010	0.000	0.007	0.000	0.000	0.000	40	1.0	0	2.1	57	111	168	6	0	147	148	149	6	0	1
144	0.005	0.000	0.005	0.001	0.000	0.000	41	0.9	6	4.9	63	116	179	6	1	155	153	154	5	0	1
144	0.004	0.000	0.001	0.001	0.000	0.000	40	0.9	5	8.3	97	82	179	7	1	152	153	154	7	1	1
144	0.004	0.000	0.005	0.001	0.000	0.000	38	1.0	3	7.0	63	116	179	3	0	155	153	155	6	0	1
144	0.006	0.000	0.004	0.000	0.000	0.000	39	1.0	5	2.8	43	136	179	1	0	157	157	157	4	0	1
144	0.001	0.000	0.005	0.000	0.000	0.000	43	0.8	1	10.2	45	129	174	0	0	155	154	156	2	0	1
144	0.000	0.000	0.005	0.000	0.000	0.000	43	0.7	1	10.2	40	129	169	1	0	157	154	156	3	0	2
144	0.002	0.000	0.005	0.000	0.000	0.000	42	0.7	0	10.0	37	136	173	1	0	155	154	156	2	0	1
144	0.000	0.000	0.006	0.000	0.000	0.000	45	0.7	0	9.8	30	139	169	2	0	157	155	157	2	0	2
144	0.009	0.000	0.006	0.000	0.000	0.000	34	1.0	0	8.7	48	126	174	1	0	153	153	154	5	0	1
144	0.010	0.000	0.006	0.000	0.000	0.000	33	1.1	0	5.3	54	120	174	1	0	155	154	155	5	0	1
144	0.010	0.000	0.006	0.000	0.000	0.000	38	0.9	0	6.0	48	126	174	1	0	155	154	155	4	0	1
144	0.011	0.000	0.006	0.000	0.000	0.000	43	0.8	0	4.6	40	134	174	2	0	155	154	156	3	0	1
146	0.006	0.000	0.004	0.000	0.000	0.000	38	0.9	0	8.4	49	126	175	2	0	157	152	154	6	0	1
146	0.008	0.000	0.006	0.000	0.000	0.000	39	0.9	0	4.4	49	126	175	4	0	157	154	156	5	0	1
146	0.006	0.000	0.005	0.000	0.000	0.000	37	0.9	0	7.9	49	126	175	2	0	155	152	154	4	0	1
146	0.006	0.000	0.003	0.000	0.000	0.000	38	1.0	0	8.8	49	126	175	3	0	150	152	153	5	0	1
146	0.007	0.000	0.004	0.000	0.000	0.000	37	0.9	0	6.9	52	126	178	0	0	155	153	155	4	0	1
146	0.010	0.000	0.004	0.000	0.000	0.000	35	1.0	0	3.4	52	126	178	2	0	155	154	155	4	0	1
147	0.006	0.000	0.004	0.000	0.000	0.000	44	0.7	36	3.6	35	143	178	0	0	157	158	159	1	0	1
147	0.008	0.000	0.003	0.000	0.000	0.000	41	0.8	15	1.8	35	140	175	0	0	157	157	158	1	0	1
147	0.002	0.000	0.006	0.000	0.000	0.000	46	0.6	49	4.8	24	143	167	1	0	160	157	159	1	0	1
147	0.000	0.000	0.005	0.000	0.000	0.000	48	0.6	52	5.2	18	149	167	2	0	160	158	159	0	0	2
147	0.003	0.000	0.004	0.000	0.000	0.000	46	0.7	46	5.2	29	144	173	2	0	157	157	159	1	0	1
147	0.001	0.000	0.002	0.000	0.000	0.000	46	0.7	41	5.3	23	144	167	1	0	157	157	159	0	0	1
147	0.006	0.000	0.006	0.000	0.000	0.000	42	0.9	37	4.9	42	132	174	1	0	157	157	159	1	0	1
147	0.013	0.000	0.010	0.000	0.000	0.000	36	1.2	0	4.8	42	132	174	2	0	157	157	158	2	0	1
148	0.003	0.000	0.004	0.000	0.000	0.000	44	0.7	6	8.2	28	142	170	1	0	155	155	156	1	0	1
148	0.000	0.000	0.005	0.000	0.000	0.000	49	0.6	1	9.6	21	143	164	0	0	155	154	156	0	0	1
148	0.004	0.000	0.005	0.000	0.000	0.000	44	0.8	8	9.4	31	142	173	4	0	157	156	158	1	0	1
148	0.002	0.000	0.008	0.000	0.000	0.000	44	0.9	15	9.6	60	135	195	5	0	157	158	158	1	0	2
148	0.004	0.000	0.005	0.000	0.000	0.000	40	0.9	8	11.8	47	126	173	5	0	157	156	158	3	0	1
148	0.000	0.000	0.007	0.000	0.000	0.000	41	1.0	5	13.4	60	135	195	4	1	157	155	158	2	0	2
148	0.003	0.000	0.004	0.000	0.000	0.000	42	0.8	20	9.3	45	126	171	2	0	157	155	158	3	1	1
148	0.005	0.000	0.002	0.000	0.000	0.000	40	0.9	0	10.6	35	136	171	1	0	153	155	156	4	0	1
148	0.005	0.000	0.002	0.000	0.000	0.000	40	0.9	0	10.6	35	136	171	1	0	153	155	156	4	0	1
148	0.001	0.000	0.004	0.000	0.000	0.000	46	0.7	54	7.1	45	126	171	3	0	160	158	160	2	1	1
148	0.000	0.000	0.007	0.000	0.000	0.000	37	1.1	3	13.0	42	126	168	2	0	157	153	156	5	1	1
148	0.000	0.000	0.005	0.000	0.000	0.000	50	0.5	60	4.9	12	151	163	1	0	160	159	160	0	1	1
148	0.000	0.000	0.005	0.000	0.000	0.000	50	0.5	62	4.7	10	153	163	1	0	160	159	161	0	1	2
148	0.000	0.000	0.006	0.000	0.000	0.000	51	0.5	59	4.8	11	152	163	1	0	160	159	161	0	1	1
148	0.000	0.000	0.006	0.000	0.000	0.000	51	0.5	62	4.5	8	155	163	1	0	160	159	161	0	0	2
148	0.000	0.000	0.007	0.000	0.000	0.000	51	0.6	56	4.4	13	152	165	2	0	160	159	161	0	0	1
148	0.000	0.000	0.007	0.000	0.000	0.000	51	0.6	49	4.3	13	152	165	1	0	160	159	160	0	0	1
148	0.005	0.000	0.005	0.000	0.000	0.000	27	1.5	8	13.0	50	129	179	3	0	157	154	157	6	0	1
148	0.006	0.000	0.009	0.000	0.000	0.000	21	1.8	0	15.5	56	129	185	2	0	157	155	156	7	0	1
148	0.004	0.000	0.005	0.000	0.000	0.000	36	0.8	8	9.4	45	135	180	3	0	157	157	158	3	0	1
148	0.000	0.000	0.003	0.000	0.000	0.000	38	0.9	17	12.2	34	135	169	3	0	157	155	158	3	0	2
148	0.002	0.000	0.007	0.000	0.000	0.000	42	0.7	12	7.1	36	144	180	1	0	163	159	161	3	0	1
148	0.004	0.000	0.005	0.000	0.000	0.000	37	0.8	0	7.1	39	142	181	1	0	157	157	159	3	0	1
148	0.000	0.000	0.008	0.000	0.000	0.000	44	0.6	16	7.3	20	150	170	2	0	163	161	163	0	0	2
148	0.000	0.000	0.008	0.000	0.000	0.000	44	0.6	19	6.9	19	150	169	1	0	163	161	163	0	0	2
149	0.002	0.000	0.009	0.001	0.000	0.000	37	1.1	10	6.6	71	104	175	6	0	163	159	163	7	1	2
149	0.001	0.000	0.007	0.001	0.000	0.000	36	1.4	10	6.7	121	58	179	6	0	163	158	163	11	1	2
149	0.006	0.000	0.009	0.001	0.000	0.000	34	1.3	1	5.3	75	104	179	8	0	163	161	164	10	1	1
149	0.010	0.000	0.010	0.002	0.000	0.000	29	1.7	0	1.8	121	58	179	7	0	169	161	166	22	1	1
149	0.009	0.000	0.011	0.002	0.000	0.000	30	1.5	0	1.8	57	122	179	3	0	169	161	167	19	1	1
149	0.010	0.000	0.008	0.000	0.000	0.000	35	1.0	0	0.5	34	145	179	3	0	169	166	169	5	1	1
132	0.002	0.000	0.008	0.001	0.000	0.000	43	0.8	0	12.1	55	109	164	3	0	136	135	137	4	0	1
132	0.000	0.000	0.007	0.001	0.000	0.000	47	0.7	1	11.2	31	114	145	1	0	136	134	136	2	1	1
132	0.000	0.000	0.008	0.000	0.000	0.000	51	0.6	2	9.6	25	116	141	1	0	136	135	137	1	1	1
132	0.009	0.000	0.009	0.000	0.000	0.000	35	1.2	0	12.6	55	109	164	3	0	136	139	140	9	0	1
132	0.013	0.000	0.010	0.000	0.000	0.000	30	1.3	0	11.2	69	97	166	2	0	145	142	144	8	1	1
132	0.006	0.000	0.008	0.001	0.000	0.001	30	1.5	0	7.9	102	61	163	4	0	145	124	131	96	1	1
132	0.013	0.000	0.011	0.000	0.000	0.002	28	1.7	0	0.0	104	62	166	7	1	145	134	145	76	1	1
132	0.002	0.000	0.008	0.000	0.001	0.001	31	1.4	0	11.5	102	61	163	5	0	99	121	129	94	1	1
132	0.000	0.000	0.006	0.000	0.001	0.001	32	1.3	0	13.6	91	60	151	1	1	99	116	125	72	1	3
132	0.002	0.000	0.009	0.001	0.000	0.001	34	1.2	0	12.4	106	61	167	3	1	99	124	131	116	1	2
132	0.000	0.000	0.008	0.002	0.000	0.002	30	1.7	0	0.0	90	60	150	3	0	99	104	102	33	0	3
132	0.000	0.000	0.011	0.001	0.000	0.000	32	1.3	0	14.2	90	60	150	2	3	99	117	125	61	1	3
132	0.000	0.000	0.010	0.000	0.000	0.000	32	1.1	0	15.5	39	111	150	1	0	133	131	132	3	0	1
132	0.007	0.000	0.010	0.000	0.000	0.000	33	1.2	0	14.0	64	103	167	5	0	150	141	141	18	0	1
132	0.000	0.000	0.009	0.000	0.000	0.000	33	1.0	0	14.5	39	111	150	2	1	133	132	134	3	0	1
132	0.006	0.000	0.010	0.001	0.000	0.000	32	1.2	0	13.5	72	95	167	4	1	155	142	144	27	1	1
132	0.009	0.000	0.011	0.000	0.000	0.000	32	1.3	0	12.3	87	95	182	5	0	155	146	149	15	0	1
132	0.002	0.000	0.009	0.000	0.000	0.002	30	1.2	0	14.7	58	95	153	3	0	133	128	132	16	0	1
132	0.000	0.000	0.009	0.002	0.000	0.000	30	1.2	0	14.6	55	95	150	1	1	133	128	132	12	0	1
132	0.010	0.000	0.010	0.000	0.000	0.000	27	1.7	0	11.3	122	54	176	8	0	150	146	149	18	1	1
132	0.008	0.000	0.010	0.000	0.000	0.000	29	1.6	0	7.4	92	84	176	3	0	155	147	150	17	1	1
130	0.004	0.000	0.008	0.001	0.000	0.000	40	0.9	17	6.5	45	110	155	6	0	136	133	135	4	0	1
130	0.002	0.000	0.009	0.000	0.000	0.000	51	0.6	38	4.8	23	125	148	1	0	134	135	136	1	0	1
130	0.006	0.000	0.006	0.000	0.000	0.000	38	1.0	0	8.1	53	102	155	6	1	136	135	137	4	0	1
130	0.007	0.000	0.007	0.000	0.000	0.000	36	1.1	0	8.9	66	90	156	6	1	136	135	137	5	1	1
130	0.004	0.000	0.006	0.000	0.000	0.000	48	0.7	32	6.7	53	102	155	5	0	137	136	138	2	0	1
130	0.000	0.000	0.005	0.000	0.000	0.000	53	0.5	45	5.9	20	123	143	2	0	137	136	138	0	1	1
130	0.004	0.000	0.007	0.000	0.000	0.000	40	0.9	1	9.1	53	102	155	6	1	136	135	137	3	0	1
130	0.002	0.000	0.006	0.000	0.000	0.000	47	0.7	30	6.8	39	114	153	4	0	137	136	138	2	0	1
130	0.000	0.000	0.005	0.000	0.000	0.000	52	0.6	44	5.9	30	123	153	2	1	137	136	138	0	0	1
130	0.003	0.000	0.007	0.000	0.000	0.000	37	0.9	0	13.4	43	112	155	3	0	136	134	135	3	0	1
130	0.003	0.000	0.007	0.000	0.000	0.000	33	1.1	0	16.4	53	103	156	3	0	133	133	134	4	0	1
130	0.002	0.000	0.006	0.000	0.000	0.000	39	0.9	8	12.3	43	112	155	3	0	136	134	136	3	0	1
130	0.000	0.000	0.005	0.000	0.000	0.000	31	1.1	0	17.6	47	103	150	3	1	131	132	133	2	0	1
130	0.000	0.000	0.005	0.000	0.000	0.000	31	1.1	0	14.3	36	114	150	1	2	131	132	133	1	0	1
130	0.000	0.000	0.004	0.000	0.000	0.000	28	1.2	0	15.0	36	114	150	2	2	131	132	133	2	0	1
130	0.001	0.000	0.006	0.000	0.000	0.000	41	0.8	13	9.9	42	114	156	2	1	136	135	137	2	0	1
130	0.000	0.000	0.005	0.000	0.000	0.000	49	0.6	25	5.4	14	129	143	1	0	137	136	138	0	0	1
133	0.003	0.000	0.007	0.002	0.000	0.000	28	1.4	0	15.9	54	109	163	3	0	140	138	139	9	0	1
133	0.005	0.000	0.008	0.003	0.000	0.000	31	1.3	0	12.8	60	103	163	2	0	140	139	140	10	0	1
133	0.008	0.000	0.008	0.004	0.000	0.000	34	1.2	0	7.1	60	103	163	2	0	136	140	141	14	0	1
133	0.000	0.000	0.007	0.007	0.000	0.000	32	1.4	0	9.8	43	103	146	1	0	136	132	136	7	1	1
133	0.000	0.000	0.007	0.001	0.000	0.000	27	1.4	1	18.8	56	96	152	5	0	136	134	137	4	1	1
133	0.000	0.000	0.007	0.000	0.000	0.000	22	1.6	0	21.3	47	105	152	1	0	138	135	138	5	1	1
133	0.002	0.000	0.007	0.002	0.000	0.000	34	1.1	7	14.3	69	91	160	4	0	136	135	137	5	0	1
133	0.000	0.000	0.007	0.000	0.000	0.000	36	1.0	8	16.4	59	91	150	3	0	136	134	137	3	1	1
133	0.000	0.000	0.007	0.000	0.000	0.000	43	0.8	30	11.2	48	106	154	4	0	145	140	143	4	1	2
133	0.000	0.000	0.008	0.000	0.000	0.000	48	0.6	46	6.8	25	125	150	2	0	145	142	144	1	1	2
133	0.002	0.000	0.006	0.000	0.000	0.000	40	0.9	21	11.2	50	106	156	3	0	142	140	142	3	1	1
133	0.003	0.000	0.006	0.000	0.000	0.000	34	1.1	6	14.5	58	101	159	4	0	142	139	142	4	1	1
133	0.003	0.000	0.005	0.001	0.000	0.000	33	1.2	5	13.7	58	101	159	4	0	142	138	141	5	1	1
133	0.004	0.000	0.006	0.002	0.000	0.000	35	1.1	8	7.4	48	109	157	2	1	142	138	141	4	0	1
136	0.001	0.000	0.007	0.000	0.000	0.000	42	0.8	9	12.7	45	117	162	2	0	139	138	140	2	0	1
136	0.000	0.000	0.008	0.000	0.000	0.000	36	1.0	0	16.1	37	117	154	2	0	139	137	138	3	0	1
136	0.000	0.000	0.007	0.000	0.000	0.000	47	0.7	22	10.0	36	117	153	2	1	144	141	143	2	1	1
136	0.000	0.000	0.008	0.000	0.000	0.000	37	1.0	0	15.7	37	117	154	2	1	138	137	139	2	0	1
136	0.000	0.000	0.006	0.000	0.000	0.000	53	0.5	37	5.9	17	134	151	2	0	144	142	144	0	0	1
136	0.000	0.000	0.007	0.000	0.000	0.000	54	0.5	40	5.6	17	134	151	2	0	144	143	145	0	0	1
136	0.007	0.000	0.007	0.001	0.000	0.000	42	0.7	3	4.2	47	112	159	0	0	145	143	145	3	1	1
136	0.006	0.000	0.006	0.000	0.000	0.000	43	0.7	1	4.6	39	120	159	0	1	145	144	146	2	0	1
136	0.006	0.000	0.007	0.001	0.000	0.000	43	0.7	4	5.1	46	112	158	1	0	144	142	144	3	1	1
144	0.003	0.000	0.008	0.000	0.000	0.000	48	0.7	6	10.2	47	120	167	3	0	148	149	150	3	0	1
144	0.000	0.000	0.008	0.000	0.000	0.000	48	0.6	6	11.4	31	129	160	1	0	148	147	149	1	0	1
149	0.000	0.000	0.009	0.008	0.000	0.000	42	2.5	23	8.2	162	51	213	4	0	156	142	154	87	0	1
149	0.000	0.000	0.009	0.009	0.000	0.000	39	2.5	25	5.6	137	51	188	4	1	155	139	153	97	1	1
149	0.000	0.000	0.006	0.000	0.000	0.000	61	0.4	54	5.2	13	146	159	1	0	154	153	155	0	0	2
149	0.000	0.000	0.005	0.000	0.000	0.000	63	0.4	65	4.6	12	146	158	1	0	153	153	155	0	1	2
149	0.000	0.000	0.007	0.000	0.000	0.000	62	0.4	46	5.5	14	146	160	1	0	154	153	155	0	0	2
149	0.000	0.000	0.006	0.000	0.000	0.000	61	0.4	34	5.6	12	148	160	1	0	154	153	155	0	0	2
149	0.001	0.000	0.008	0.000	0.000	0.000	55	0.5	19	6.4	23	147	170	2	0	155	155	156	0	0	1
149	0.000	0.000	0.008	0.000	0.000	0.000	59	0.5	27	5.5	15	148	163	1	0	155	154	156	0	0	1
144	0.002	0.000	0.006	0.001	0.000	0.000	51	0.6	16	6.0	44	125	169	3	0	157	156	158	3	1	1
144	0.002	0.000	0.004	0.002	0.000	0.000	45	0.7	13	8.8	54	122	176	2	0	157	155	156	5	0	1
144	0.003	0.000	0.006	0.000	0.000	0.000	50	0.6	21	5.3	27	142	169	2	0	157	157	158	2	0	1
144	0.005	0.000	0.008	0.002	0.000	0.000	32	1.2	0	8.8	65	115	180	3	0	153	152	154	12	0	1
144	0.005	0.000	0.007	0.003	0.000	0.000	33	1.1	0	7.7	68	113	181	3	0	153	154	155	12	0	1
143	0.006	0.000	0.008	0.002	0.000	0.000	28	1.4	0	8.3	80	102	182	3	0	155	152	154	23	0	1
143	0.004	0.000	0.005	0.002	0.000	0.000	22	1.8	0	11.5	85	99	184	5	0	151	149	152	29	0	1
144	0.002	0.000	0.005	0.001	0.000	0.000	34	1.2	5	10.2	80	102	182	4	0	157	152	155	17	0	1
144	0.000	0.000	0.004	0.002	0.000	0.000	33	1.2	2	10.4	61	99	160	2	0	153	147	152	19	1	1
144	0.003	0.000	0.006	0.000	0.000	0.000	40	0.8	5	11.1	56	112	168	2	0	157	153	155	5	1	1
144	0.003	0.000	0.007	0.000	0.000	0.000	38	0.9	5	13.4	56	112	168	3	0	157	153	156	6	1	1
144	0.004	0.000	0.006	0.000	0.000	0.000	40	0.8	0	9.9	59	112	171	3	0	160	154	157	8	1	1
144	0.000	0.000	0.008	0.000	0.000	0.000	26	1.3	0	17.0	52	112	164	2	0	150	146	148	6	1	1
145	0.004	0.000	0.004	0.000	0.000	0.000	45	0.7	1	7.4	38	133	171	2	0	160	158	159	2	0	1
145	0.003	0.000	0.006	0.000	0.000	0.000	48	0.7	2	6.3	38	133	171	2	0	160	159	160	2	1	1
130	0.009	0.000	0.011	0.004	0.000	0.000	24	1.6	0	0.0	106	76	182	3	1	155	140	148	84	1	1
130	0.012	0.000	0.012	0.000	0.000	0.000	24	1.4	0	0.0	74	117	191	3	1	155	154	157	14	0	1
130	0.004	0.000	0.009	0.009	0.000	0.000	25	1.7	0	0.0	94	76	170	6	0	133	119	121	73	0	1
133	0.002	0.000	0.009	0.009	0.000	0.000	25	1.7	0	0.0	94	76	170	6	0	133	117	117	77	0	1
132	0.008	0.000	0.012	0.005	0.000	0.000	25	1.5	0	0.0	115	76	191	3	1	160	138	149	119	1	1
132	0.000	0.000	0.004	0.009	0.000	0.000	26	2.1	0	0.0	81	76	157	4	0	86	109	106	110	-1	1
132	0.001	0.000	0.007	0.004	0.000	0.000	28	1.6	4	13.5	92	68	160	6	3	136	132	136	13	1	1
132	0.002	0.000	0.008	0.003	0.000	0.000	22	2.1	0	18.5	105	55	160	4	1	131	131	134	15	1	1
132	0.000	0.000	0.003	0.003	0.000	0.000	34	1.0	7	9.4	66	83	149	7	1	136	133	137	7	1	1
132	0.000	0.000	0.004	0.007	0.000	0.000	35	1.2	10	4.8	72	71	143	7	1	136	131	136	11	1	1
132	0.001	0.000	0.004	0.004	0.000	0.000	28	1.6	4	17.9	97	56	153	9	3	136	130	135	25	1	1
132	0.000	0.000	0.003	0.000	0.000	0.000	30	1.1	0	13.7	52	97	149	4	1	133	133	135	3	1	1
132	0.001	0.000	0.005	0.004	0.000	0.000	25	1.9	0	19.7	99	54	153	6	0	133	127	133	34	1	1
132	0.000	0.000	0.010	0.000	0.000	0.000	16	2.5	0	33.5	105	54	159	9	1	136	131	134	15	1	1
132	0.001	0.000	0.005	0.004	0.000	0.000	29	1.5	1	16.0	92	61	153	4	1	133	129	134	23	1	1
132	0.000	0.000	0.006	0.006	0.000	0.000	26	1.8	0	15.0	97	53	150	3	3	133	126	132	35	1	1
132	0.001	0.000	0.005	0.005	0.000	0.000	30	1.8	5	19.9	99	52	151	7	0	139	130	137	31	1	1
132	0.000	0.000	0.006	0.000	0.000	0.000	35	1.3	0	27.4	71	79	150	4	0	133	135	137	9	1	1
132	0.001	0.000	0.006	0.006	0.000	0.000	28	2.1	6	16.2	101	50	151	11	1	143	129	136	42	1	1
132	0.000	0.000	0.006	0.008	0.000	0.000	15	3.2	0	16.9	100	50	150	10	2	133	122	130	41	1	1
134	0.000	0.000	0.005	0.006	0.000	0.000	32	1.2	20	6.4	102	53	155	5	1	136	128	135	30	1	1
134	0.000	0.000	0.004	0.005	0.000	0.000	27	1.4	18	9.1	89	66	155	6	1	136	128	135	31	1	1
134	0.000	0.000	0.005	0.005	0.000	0.000	33	1.4	20	9.9	110	53	163	3	1	136	129	136	27	1	1
134	0.000	0.000	0.004	0.007	0.000	0.000	37	1.1	22	2.9	93	50	143	5	0	138	129	136	31	1	1
134	0.000	0.000	0.007	0.007	0.000	0.000	20	2.2	3	15.1	113	50	163	7	1	126	120	127	51	1	1
134	0.000	0.000	0.010	0.000	0.000	0.000	27	2.8	8	26.1	74	89	163	7	1	138	134	138	13	0	1
134	0.000	0.000	0.007	0.008	0.000	0.000	20	2.1	0	8.2	115	50	165	7	2	126	117	126	63	0	1
134	0.000	0.000	0.005	0.007	0.000	0.000	21	1.9	0	8.6	104	50	154	9	2	126	117	127	64	1	1
134	0.000	0.000	0.005	0.008	0.000	0.000	22	2.1	0	8.0	111	54	165	5	2	126	118	127	59	0	1
138	0.005	0.000	0.003	0.004	0.000	0.000	33	3.1	0	7.9	59	110	169	3	0	136	145	146	22	0	1
138	0.000	0.000	0.003	0.003	0.000	0.000	31	3.8	0	6.6	45	107	152	5	1	138	137	139	3	1	1
138	0.009	0.000	0.007	0.000	0.000	0.000	37	1.5	0	12.3	55	114	169	3	0	150	150	152	8	1	1
138	0.010	0.000	0.009	0.000	0.000	0.000	42	1.4	0	0.0	51	120	171	0	1	157	153	155	8	1	1
138	0.000	0.000	0.005	0.000	0.000	0.000	36	2.4	0	16.0	78	114	192	6	1	160	157	160	14	0	2
138	0.000	0.000	0.004	0.000	0.000	0.000	19	2.2	0	17.8	45	110	155	3	0	144	141	143	6	1	1
138	0.001	0.000	0.003	0.000	0.000	0.000	32	3.2	0	15.2	68	124	192	4	1	160	158	159	11	0	2
138	0.005	0.000	0.002	0.000	0.000	0.000	18	4.2	0	17.2	62	114	176	4	0	157	149	151	13	0	1
140	0.000	0.000	0.006	0.000	0.000	0.000	42	1.4	16	11.1	48	124	172	1	0	151	150	151	4	0	2
140	0.000	0.000	0.004	0.000	0.000	0.000	48	0.9	21	9.5	37	135	172	2	1	151	152	152	3	0	2
137	0.002	0.048	0.004	0.004	0.000	0.000	62	2.6	0	3.2	91	81	172	7	0	140	122	142	8	0	1
133	0.006	0.043	0.003	0.001	0.000	0.000	64	2.0	0	4.5	64	96	160	3	0	142	130	142	3	1	1
134	0.004	0.032	0.004	0.001	0.000	0.000	65	2.3	0	1.3	34	127	161	1	0	138	129	140	3	-1	1
144	0.000	0.040	0.001	0.007	0.000	0.000	65	3.3	0	2.7	89	74	163	3	0	147	109	149	17	1	1
136	0.004	0.051	0.004	0.002	0.000	0.000	63	1.8	0	6.4	76	96	172	8	0	142	132	143	5	0	1
133	0.005	0.036	0.004	0.001	0.000	0.000	65	2.5	0	1.6	34	127	161	1	0	138	127	140	3	-1	1
135	0.002	0.037	0.003	0.001	0.000	0.000	65	2.0	0	5.2	65	96	161	3	0	138	130	141	3	1	1
137	0.002	0.050	0.001	0.002	0.000	0.000	64	1.9	0	6.9	76	96	172	4	0	142	130	143	5	0	1
133	0.006	0.035	0.003	0.001	0.000	0.000	65	2.7	0	1.1	35	126	161	2	0	138	126	140	3	0	1
144	0.001	0.049	0.001	0.009	0.000	0.000	65	3.6	0	1.7	143	67	210	7	1	145	108	149	38	0	1
144	0.003	0.049	0.002	0.006	0.000	0.001	66	3.4	0	0.3	113	67	180	7	0	141	110	147	89	1	1
142	0.004	0.041	0.003	0.004	0.000	0.001	66	3.2	0	0.5	106	69	175	10	0	138	112	146	98	1	1
142	0.003	0.050	0.002	0.006	0.000	0.001	66	3.3	0	0.3	113	67	180	7	0	141	111	147	90	1	1
142	0.003	0.048	0.003	0.006	0.000	0.001	66	3.5	0	0.3	143	67	210	7	0	142	108	147	85	0	1
142	0.002	0.054	0.001	0.007	0.000	0.000	64	4.0	0	0.4	143	67	210	9	2	142	109	150	54	0	1
143	0.002	0.052	0.001	0.008	0.000	0.000	64	3.8	0	1.3	143	67	210	10	2	145	111	149	49	0	1
134	0.001	0.002	0.006	0.006	0.000	0.000	65	1.5	5	6.9	95	65	160	5	0	135	128	137	33	1	1
126	0.013	0.002	0.007	0.001	0.000	0.000	53	2.5	0	0.3	85	84	169	3	0	135	133	140	13	0	1
126	0.012	0.002	0.007	0.001	0.000	0.000	53	2.6	0	0.2	86	84	170	5	0	135	134	140	12	0	1
127	0.009	0.000	0.007	0.001	0.000	0.000	53	2.7	0	4.3	111	71	182	6	1	139	124	139	15	0	1
123	0.012	0.003	0.006	0.000	0.000	0.000	55	2.2	0	2.4	75	85	160	8	0	135	132	136	8	1	1
123	0.011	0.002	0.003	0.000	0.000	0.000	55	2.1	0	1.1	75	85	160	6	0	133	133	136	8	1	1
123	0.010	0.001	0.004	0.000	0.000	0.000	55	2.1	0	0.0	77	85	162	4	0	140	134	139	10	1	1
123	0.010	0.002	0.007	0.000	0.000	0.000	53	3.4	0	0.0	109	84	193	6	1	146	129	146	15	0	1
123	0.010	0.001	0.003	0.000	0.000	0.000	55	2.0	0	1.1	75	85	160	6	0	140	134	138	10	1	1
130	0.004	0.000	0.011	0.002	0.000	0.000	52	2.7	0	2.2	89	76	165	5	0	139	129	135	20	0	1
130	0.002	0.001	0.009	0.001	0.000	0.000	52	2.7	0	4.6	88	77	165	6	0	139	130	136	15	0	1
130	0.001	0.002	0.008	0.002	0.000	0.000	53	2.8	0	7.1	62	95	157	5	0	138	131	136	9	0	1
130	0.002	0.004	0.007	0.003	0.000	0.000	52	3.0	0	5.6	69	87	156	4	0	139	129	135	15	1	1
130	0.003	0.005	0.006	0.003	0.000	0.000	52	3.0	0	3.3	76	87	163	6	0	139	130	136	15	0	1
130	0.004	0.006	0.005	0.002	0.000	0.000	51	2.8	0	4.2	76	87	163	5	0	135	131	136	11	0	1
130	0.012	0.000	0.007	0.000	0.000	0.000	50	1.4	0	2.8	68	104	172	4	1	144	142	144	10	0	1
130	0.009	0.001	0.004	0.001	0.000	0.000	52	1.3	0	2.4	99	73	172	6	0	144	141	144	16	1	1
130	0.007	0.001	0.002	0.004	0.000	0.000	52	1.6	0	4.2	106	73	179	7	0	144	138	143	29	0	1
130	0.006	0.002	0.002	0.004	0.000	0.000	53	1.7	0	2.0	106	73	179	7	0	144	137	141	31	0	1
130	0.007	0.002	0.002	0.005	0.000	0.000	51	1.9	0	5.8	125	73	198	5	0	131	137	140	51	0	1
130	0.005	0.001	0.003	0.006	0.000	0.000	51	1.9	0	4.9	125	73	198	6	0	131	137	140	56	0	1
130	0.008	0.001	0.002	0.004	0.000	0.000	51	1.8	0	6.5	118	77	195	7	0	131	137	141	47	0	1
130	0.010	0.000	0.009	0.004	0.000	0.000	49	1.5	0	10.3	114	84	198	7	0	150	141	145	50	0	1
130	0.009	0.000	0.005	0.005	0.000	0.000	51	1.5	0	5.0	101	77	178	7	0	130	135	137	39	0	1
130	0.008	0.001	0.006	0.005	0.000	0.000	52	1.7	0	0.3	101	77	178	3	0	135	134	137	48	0	1
130	0.008	0.001	0.004	0.004	0.000	0.000	51	1.6	0	4.2	109	77	186	4	0	144	138	143	38	0	1
132	0.008	0.000	0.009	0.012	0.000	0.000	55	2.7	0	0.0	123	60	183	5	0	144	118	142	100	1	1
132	0.007	0.000	0.010	0.012	0.000	0.000	56	2.9	0	0.0	126	60	186	7	0	144	114	139	103	0	1
132	0.008	0.000	0.008	0.013	0.000	0.000	55	2.7	0	0.0	116	70	186	3	0	144	116	137	103	0	1
132	0.007	0.000	0.010	0.011	0.000	0.000	56	2.8	0	0.0	116	70	186	5	0	106	115	133	113	-1	1
132	0.005	0.000	0.011	0.014	0.000	0.000	58	2.9	0	0.0	115	63	178	4	0	112	110	121	64	0	1
114	0.000	0.000	0.008	0.000	0.000	0.000	65	0.4	0	11.5	22	104	126	1	0	115	115	116	0	0	1
114	0.000	0.000	0.009	0.000	0.000	0.000	65	0.5	0	12.0	24	102	126	1	0	115	115	116	1	0	1
114	0.000	0.000	0.008	0.000	0.000	0.000	64	0.5	0	12.2	25	100	125	1	0	115	114	116	1	0	1
114	0.000	0.000	0.008	0.000	0.000	0.000	64	0.5	0	12.4	26	100	126	1	0	115	114	116	1	0	1
114	0.000	0.000	0.008	0.000	0.000	0.000	65	0.5	0	11.6	23	102	125	1	0	115	115	116	0	0	1
114	0.003	0.000	0.007	0.000	0.000	0.000	61	1.3	0	16.2	57	91	148	2	0	113	113	114	10	0	1
106	0.011	0.000	0.009	0.000	0.000	0.000	62	1.4	0	12.7	54	94	148	5	0	107	117	116	32	-1	1
106	0.000	0.000	0.010	0.000	0.000	0.000	63	0.6	0	14.1	28	95	123	1	0	110	109	111	2	0	1
106	0.000	0.000	0.010	0.000	0.000	0.000	63	0.6	0	13.5	28	95	123	1	0	112	109	111	2	0	1
106	0.001	0.000	0.011	0.000	0.000	0.000	63	0.6	0	11.5	30	95	125	1	0	112	110	112	1	0	1
106	0.000	0.000	0.010	0.000	0.000	0.000	63	0.6	0	12.4	27	95	122	1	0	112	110	112	1	0	1
106	0.000	0.000	0.009	0.000	0.000	0.000	64	0.6	0	10.4	20	102	122	1	0	111	111	112	0	0	1
106	0.006	0.000	0.006	0.000	0.000	0.000	64	0.7	0	12.6	54	100	154	3	0	112	116	114	14	-1	1
110	0.002	0.000	0.007	0.001	0.000	0.000	62	0.9	0	11.8	64	92	156	5	0	112	113	113	12	-1	1
110	0.003	0.000	0.006	0.001	0.000	0.000	61	0.9	0	10.8	64	92	156	3	0	112	112	111	16	-1	1
110	0.002	0.000	0.007	0.001	0.000	0.000	63	0.8	0	10.9	64	92	156	3	0	112	113	113	14	-1	1
110	0.003	0.001	0.005	0.001	0.000	0.000	64	0.9	0	10.6	65	92	157	6	0	110	114	113	21	-1	1
110	0.000	0.000	0.005	0.000	0.000	0.000	64	0.6	0	12.0	30	98	128	1	0	110	111	112	1	0	1
110	0.004	0.001	0.002	0.001	0.000	0.000	65	1.1	0	9.3	88	90	178	5	0	109	113	112	24	-1	1
110	0.005	0.001	0.008	0.001	0.000	0.000	63	1.6	0	8.5	88	90	178	3	0	109	114	112	34	-1	1
110	0.007	0.001	0.009	0.001	0.000	0.000	63	1.9	0	7.2	88	90	178	4	0	107	115	114	48	-1	1
110	0.003	0.000	0.006	0.004	0.000	0.000	64	1.7	0	6.3	176	62	238	13	1	107	103	107	35	-1	1
110	0.003	0.000	0.003	0.001	0.000	0.000	64	1.6	0	6.8	116	62	178	12	1	107	105	108	37	0	1
110	0.003	0.000	0.007	0.004	0.000	0.000	63	2.4	0	1.8	176	62	238	10	1	98	101	105	59	-1	1
110	0.004	0.000	0.009	0.005	0.000	0.000	63	2.7	0	1.8	176	62	238	9	0	95	98	106	61	-1	1
110	0.003	0.000	0.008	0.004	0.000	0.000	64	2.1	0	5.6	176	62	238	10	0	107	101	108	33	-1	1
110	0.004	0.001	0.009	0.004	0.000	0.000	64	2.2	0	5.3	176	62	238	7	0	107	103	109	42	-1	1
110	0.004	0.001	0.009	0.003	0.000	0.000	64	1.8	0	6.8	176	62	238	7	0	110	106	110	36	-1	1
110	0.003	0.002	0.006	0.007	0.000	0.002	68	3.1	0	0.0	133	60	193	8	0	91	83	95	42	-1	3
110	0.004	0.000	0.009	0.007	0.000	0.002	68	3.0	0	0.0	133	60	193	7	0	91	87	95	41	-1	3
110	0.003	0.002	0.007	0.007	0.000	0.002	68	3.0	0	0.0	133	60	193	6	0	91	84	94	45	-1	3
110	0.002	0.003	0.002	0.009	0.000	0.002	68	3.2	0	0.0	124	63	187	6	1	91	78	94	39	-1	3
110	0.004	0.002	0.005	0.008	0.000	0.001	67	3.3	0	0.0	130	63	193	5	0	88	85	97	59	-1	3
110	0.003	0.002	0.006	0.006	0.000	0.002	68	3.1	0	0.0	133	60	193	8	0	91	82	95	42	-1	3
137	0.014	0.000	0.007	0.003	0.000	0.000	53	2.7	0	0.3	136	52	188	9	2	160	142	163	42	1	1
137	0.013	0.000	0.007	0.003	0.000	0.000	54	2.8	0	4.8	136	52	188	9	2	164	141	165	48	1	1
137	0.013	0.000	0.006	0.004	0.000	0.000	56	2.4	0	0.4	136	52	188	5	0	160	141	161	51	1	1
137	0.012	0.000	0.003	0.004	0.000	0.000	56	2.1	0	0.2	136	52	188	3	0	160	144	161	39	1	1
137	0.014	0.000	0.003	0.004	0.000	0.000	57	1.8	0	0.2	136	52	188	7	0	146	145	161	46	1	1
137	0.014	0.000	0.003	0.005	0.000	0.000	57	1.8	0	0.4	136	52	188	7	1	146	142	157	53	1	1
137	0.012	0.000	0.003	0.004	0.000	0.000	56	2.2	0	0.4	136	52	188	4	0	160	141	159	59	1	1
137	0.012	0.000	0.003	0.004	0.000	0.000	58	1.7	0	1.7	136	52	188	7	1	149	145	158	44	1	1
137	0.011	0.000	0.006	0.004	0.000	0.000	57	1.6	0	7.6	136	52	188	5	1	148	146	158	42	1	1
137	0.010	0.000	0.006	0.004	0.000	0.000	56	1.6	0	7.1	136	52	188	5	0	148	143	157	59	1	1
137	0.009	0.001	0.005	0.003	0.000	0.000	58	1.5	0	5.4	109	69	178	2	0	146	143	150	52	1	1
137	0.008	0.001	0.005	0.003	0.000	0.000	58	1.6	0	5.6	109	69	178	5	0	148	143	151	55	1	1
137	0.006	0.002	0.005	0.003	0.000	0.000	58	1.5	0	5.2	109	69	178	5	1	148	143	150	49	1	1
137	0.008	0.001	0.005	0.003	0.000	0.000	58	1.4	0	4.7	109	69	178	2	0	146	143	150	47	1	1
137	0.007	0.001	0.004	0.003	0.000	0.000	57	1.4	0	6.2	109	69	178	4	0	146	143	149	43	1	1
137	0.006	0.002	0.005	0.002	0.000	0.000	57	1.4	0	6.8	109	69	178	3	1	148	143	149	43	1	1
137	0.006	0.005	0.005	0.001	0.000	0.000	59	1.4	0	7.0	48	122	170	2	0	146	141	143	8	0	1
137	0.009	0.003	0.004	0.001	0.000	0.000	58	1.2	0	6.4	48	122	170	1	0	146	144	146	8	0	1
137	0.011	0.004	0.004	0.001	0.000	0.000	56	1.1	0	5.2	48	122	170	1	0	146	144	146	8	0	1
137	0.009	0.003	0.004	0.001	0.000	0.000	57	1.2	0	5.9	48	122	170	1	0	146	144	145	8	0	1
137	0.012	0.002	0.005	0.000	0.000	0.000	56	0.9	0	4.1	48	122	170	3	0	147	146	147	7	0	1
131	0.000	0.003	0.003	0.008	0.000	0.003	67	1.7	0	0.0	68	78	146	7	0	121	116	120	15	0	3
131	0.004	0.003	0.004	0.005	0.000	0.001	60	2.1	0	0.9	90	78	168	8	0	133	127	132	21	0	1
131	0.006	0.003	0.004	0.004	0.000	0.000	57	2.0	0	1.2	69	100	169	6	1	133	133	134	15	0	1
131	0.008	0.003	0.002	0.000	0.000	0.000	53	1.8	0	3.2	60	109	169	7	0	150	143	147	14	0	1
131	0.007	0.004	0.003	0.000	0.000	0.000	53	2.4	0	0.0	56	109	165	4	0	131	140	143	25	0	1
131	0.008	0.004	0.004	0.001	0.000	0.000	55	2.3	0	0.0	56	109	165	3	0	130	138	141	25	0	1
131	0.008	0.002	0.004	0.002	0.000	0.000	55	1.9	0	2.4	85	84	169	6	0	150	139	144	25	1	1
131	0.008	0.003	0.004	0.001	0.000	0.000	55	1.9	0	2.8	85	84	169	6	0	150	140	145	22	1	1
131	0.009	0.001	0.004	0.001	0.000	0.000	55	2.0	0	2.7	85	84	169	6	0	132	140	145	26	1	1
131	0.010	0.000	0.003	0.001	0.000	0.000	54	1.4	0	3.3	85	84	169	7	0	151	143	147	20	1	1
131	0.008	0.000	0.002	0.001	0.000	0.000	54	1.5	0	5.3	86	83	169	7	0	151	142	147	22	1	1
131	0.009	0.000	0.004	0.001	0.000	0.000	54	1.5	0	4.0	85	84	169	6	0	151	141	144	22	1	1
131	0.008	0.000	0.005	0.001	0.000	0.000	54	1.6	0	2.7	56	111	167	2	0	138	139	141	8	0	1
131	0.010	0.000	0.006	0.001	0.000	0.000	52	1.3	0	2.8	56	111	167	2	0	138	140	142	8	0	1
131	0.007	0.000	0.007	0.002	0.000	0.000	52	1.4	0	2.4	68	99	167	3	0	140	139	141	8	0	1
134	0.005	0.001	0.006	0.004	0.000	0.000	53	1.8	0	0.9	83	83	166	5	0	143	133	140	29	1	1
134	0.005	0.001	0.006	0.005	0.000	0.000	56	1.6	0	1.0	83	83	166	7	0	135	133	138	23	0	1
134	0.004	0.001	0.006	0.006	0.000	0.000	57	1.5	0	1.8	78	83	161	5	0	137	132	138	21	1	1
134	0.003	0.001	0.007	0.005	0.000	0.001	59	1.4	0	2.7	72	83	155	7	1	137	127	136	35	1	1
134	0.000	0.000	0.009	0.006	0.000	0.002	64	1.5	0	3.8	70	83	153	5	0	137	119	124	50	1	3
134	0.008	0.000	0.012	0.006	0.000	0.000	60	1.3	0	0.0	109	80	189	7	0	156	138	151	101	1	1
134	0.008	0.000	0.010	0.005	0.000	0.000	60	1.1	0	9.3	109	80	189	8	0	156	145	154	70	1	1
134	0.009	0.001	0.010	0.006	0.000	0.000	60	1.2	0	0.0	109	80	189	8	0	156	145	154	69	1	1
134	0.008	0.001	0.010	0.006	0.000	0.000	61	1.1	0	3.7	109	80	189	10	0	156	144	151	61	0	1
134	0.007	0.001	0.011	0.005	0.000	0.000	62	1.2	0	4.5	109	80	189	9	0	156	145	152	49	0	1
134	0.008	0.001	0.009	0.004	0.000	0.000	60	1.2	0	4.9	109	80	189	4	1	156	147	151	40	0	1
134	0.008	0.001	0.007	0.004	0.000	0.000	59	1.2	0	5.2	109	80	189	6	0	150	146	150	33	0	1
134	0.005	0.000	0.000	0.000	0.000	0.000	55	1.2	0	1.8	83	90	173	4	0	150	147	151	22	1	1
134	0.005	0.001	0.007	0.004	0.000	0.000	61	1.2	0	5.9	83	90	173	4	0	150	143	148	19	1	1
134	0.005	0.001	0.007	0.005	0.000	0.000	61	1.1	0	6.0	83	90	173	5	0	142	143	147	17	1	1
134	0.006	0.001	0.007	0.004	0.000	0.000	62	1.1	0	4.9	83	90	173	5	0	148	142	147	17	1	1
134	0.005	0.000	0.006	0.004	0.000	0.000	62	1.1	0	4.9	83	90	173	5	0	142	142	146	15	0	1
134	0.007	0.000	0.006	0.002	0.000	0.000	63	1.0	0	3.8	83	90	173	3	0	149	144	147	15	1	1
134	0.008	0.002	0.003	0.005	0.000	0.000	63	0.9	0	2.5	100	88	188	8	0	151	140	146	36	0	1
134	0.009	0.001	0.006	0.005	0.000	0.000	60	1.1	0	0.5	99	88	187	6	0	151	145	151	38	0	1
134	0.009	0.001	0.006	0.005	0.000	0.000	59	1.2	0	0.6	99	88	187	5	0	151	145	151	42	0	1
134	0.008	0.002	0.008	0.005	0.000	0.000	59	1.1	0	0.0	99	88	187	5	0	151	145	152	44	0	1
134	0.008	0.001	0.009	0.005	0.000	0.000	57	1.2	0	0.0	95	92	187	4	0	151	147	154	44	0	1
134	0.009	0.000	0.010	0.005	0.000	0.000	57	1.2	0	0.0	101	86	187	3	0	151	148	155	47	1	1
134	0.011	0.000	0.010	0.004	0.000	0.000	56	1.4	0	0.0	101	86	187	5	0	151	152	160	44	1	1
134	0.011	0.001	0.008	0.005	0.000	0.000	55	1.5	0	0.0	101	86	187	5	0	151	149	157	49	1	1
134	0.002	0.002	0.000	0.002	0.000	0.004	63	1.5	0	0.0	100	71	171	4	1	89	105	105	72	-1	3
134	0.005	0.002	0.002	0.003	0.000	0.003	62	1.5	0	0.0	113	71	184	4	0	89	113	110	148	-1	3
134	0.004	0.001	0.001	0.004	0.000	0.003	60	1.6	0	0.0	113	71	184	7	0	89	118	113	195	-1	3
134	0.004	0.001	0.001	0.003	0.000	0.003	61	1.8	0	0.0	118	66	184	6	0	88	112	111	182	-1	3
134	0.004	0.001	0.001	0.003	0.000	0.004	62	1.8	0	0.0	118	66	184	5	0	88	106	107	128	-1	3
134	0.003	0.000	0.000	0.000	0.000	0.005	64	1.7	0	0.0	114	66	180	6	1	88	101	102	88	-1	3
134	0.003	0.000	0.000	0.000	0.000	0.005	65	1.8	0	0.0	114	66	180	8	1	88	100	101	83	-1	3
134	0.004	0.000	0.000	0.001	0.000	0.004	64	1.9	0	0.0	120	66	186	9	0	88	104	106	109	-1	3
160	0.010	0.000	0.008	0.000	0.000	0.000	58	0.8	0	8.2	74	131	205	7	0	179	170	174	14	0	1
120	0.002	0.000	0.001	0.009	0.000	0.000	57	1.3	0	7.5	78	79	157	4	0	113	115	119	25	0	1
120	0.003	0.000	0.001	0.010	0.000	0.000	58	1.2	0	7.3	78	79	157	3	0	128	114	118	39	0	1
120	0.003	0.000	0.001	0.009	0.000	0.000	57	1.5	0	8.0	78	79	157	5	1	113	115	119	28	0	1
120	0.000	0.000	0.003	0.012	0.000	0.000	59	1.6	0	9.8	85	69	154	4	1	91	107	107	62	0	3
120	0.000	0.000	0.004	0.013	0.000	0.000	59	1.6	0	11.1	83	69	152	4	1	91	106	106	56	0	3
120	0.000	0.000	0.004	0.012	0.000	0.000	59	1.6	0	10.8	83	69	152	4	1	105	106	107	31	0	3
120	0.000	0.000	0.005	0.011	0.000	0.000	60	1.6	0	9.0	85	69	154	4	1	86	105	105	75	0	3
120	0.000	0.000	0.005	0.009	0.000	0.001	62	1.5	0	8.8	85	69	154	5	1	86	102	101	64	-1	3
120	0.000	0.000	0.005	0.006	0.000	0.001	62	1.5	0	9.3	85	69	154	4	1	86	101	98	64	-1	3
120	0.000	0.000	0.004	0.007	0.000	0.001	64	1.3	0	8.4	85	69	154	3	1	86	97	93	48	-1	3
120	0.000	0.000	0.005	0.006	0.000	0.002	64	1.1	0	8.1	85	69	154	2	1	86	98	95	44	-1	3
120	0.000	0.000	0.003	0.006	0.000	0.002	62	1.3	0	9.4	83	69	152	6	1	86	101	101	56	0	3
120	0.000	0.000	0.001	0.007	0.000	0.002	64	1.1	0	0.0	80	74	154	3	0	86	99	99	40	-1	3
120	0.000	0.000	0.002	0.010	0.000	0.002	63	1.3	0	0.0	83	69	152	6	0	107	100	101	26	0	3
120	0.000	0.000	0.002	0.008	0.000	0.002	64	1.3	0	0.0	77	69	146	8	0	86	98	100	38	0	3
120	0.000	0.000	0.005	0.010	0.000	0.002	64	1.7	0	0.0	111	63	174	10	1	86	92	102	43	-1	3
120	0.000	0.000	0.004	0.009	0.000	0.001	63	2.0	0	0.0	128	63	191	12	2	107	93	106	36	-1	3
120	0.000	0.000	0.004	0.009	0.000	0.001	62	1.9	0	3.9	128	63	191	10	1	107	95	105	37	-1	3
120	0.000	0.000	0.005	0.009	0.000	0.002	64	1.7	0	0.0	111	63	174	10	1	86	93	101	42	-1	3
121	0.003	0.002	0.003	0.005	0.000	0.000	58	1.5	0	8.9	96	67	163	7	1	122	116	120	25	0	1
121	0.004	0.002	0.004	0.006	0.000	0.000	58	1.7	0	8.4	96	67	163	6	1	122	115	120	31	0	1
121	0.003	0.002	0.002	0.004	0.000	0.000	57	1.6	0	13.6	99	67	166	7	1	122	119	123	24	0	1
121	0.006	0.002	0.004	0.002	0.000	0.000	57	1.3	0	14.1	76	90	166	3	0	124	126	126	17	0	1
121	0.005	0.002	0.001	0.000	0.000	0.000	55	1.4	0	13.7	73	96	169	6	0	124	127	127	19	0	1
121	0.007	0.003	0.001	0.000	0.000	0.000	54	1.7	0	9.9	73	96	169	7	0	124	129	130	24	0	1
121	0.006	0.002	0.004	0.002	0.000	0.000	56	1.4	0	12.3	79	90	169	3	0	124	126	127	19	0	1
121	0.004	0.002	0.002	0.003	0.000	0.000	56	1.4	0	14.0	88	81	169	4	0	124	123	125	23	0	1
121	0.004	0.002	0.002	0.005	0.000	0.000	56	1.6	0	13.6	99	70	169	5	1	124	121	124	28	0	1
121	0.005	0.003	0.005	0.004	0.000	0.000	55	1.8	0	10.6	99	70	169	9	1	124	122	126	33	0	1
121	0.006	0.004	0.004	0.006	0.000	0.000	56	1.9	0	3.0	99	70	169	5	1	124	121	127	38	0	1
121	0.005	0.004	0.005	0.006	0.000	0.000	56	1.8	0	2.6	99	70	169	6	0	124	120	125	37	0	1
121	0.004	0.003	0.006	0.009	0.000	0.000	58	1.8	0	2.4	107	62	169	8	0	114	113	120	55	0	1
121	0.000	0.002	0.002	0.015	0.000	0.000	61	2.0	0	4.9	98	62	160	8	0	114	100	106	59	0	3
121	0.000	0.001	0.004	0.010	0.001	0.000	66	2.1	0	6.4	105	55	160	7	0	67	85	92	109	-1	3
121	0.000	0.001	0.003	0.011	0.001	0.000	67	2.1	0	0.0	102	55	157	4	1	67	81	87	89	-1	3
121	0.000	0.001	0.005	0.012	0.001	0.000	66	2.1	0	0.0	102	55	157	5	1	67	83	90	98	-1	3
121	0.000	0.001	0.003	0.010	0.001	0.000	68	2.1	0	0.0	102	55	157	3	1	67	79	82	83	-1	3
121	0.000	0.000	0.004	0.009	0.001	0.000	70	1.9	0	0.0	102	55	157	6	2	67	76	79	68	-1	3
143	0.010	0.000	0.001	0.000	0.000	0.000	59	0.8	0	7.2	72	96	168	3	0	152	146	150	8	1	1
143	0.008	0.000	0.003	0.002	0.000	0.000	60	2.0	0	3.6	79	101	180	9	0	146	144	151	18	0	1
143	0.008	0.000	0.002	0.000	0.000	0.000	60	2.2	0	3.9	79	101	180	8	0	150	132	153	14	0	1
143	0.000	0.000	0.004	0.000	0.000	0.000	66	0.4	4	10.2	22	132	154	1	0	144	143	145	1	0	1
143	0.000	0.000	0.004	0.000	0.000	0.000	66	0.4	5	10.0	24	134	158	1	0	144	144	145	1	0	1
143	0.000	0.000	0.004	0.000	0.000	0.000	66	0.4	4	9.9	22	132	154	0	0	144	143	145	1	0	1
143	0.000	0.000	0.003	0.000	0.000	0.000	67	0.4	6	9.6	26	133	159	1	0	144	144	145	1	0	1
143	0.000	0.000	0.003	0.000	0.000	0.000	67	0.3	6	9.6	24	134	158	1	0	144	144	146	1	0	1
143	0.000	0.000	0.002	0.000	0.000	0.000	68	0.3	5	9.4	23	135	158	1	0	144	144	145	1	0	1
143	0.000	0.000	0.001	0.000	0.000	0.000	68	0.3	5	9.4	26	133	159	1	0	144	144	145	1	0	1
143	0.000	0.000	0.001	0.000	0.000	0.000	68	0.3	6	9.6	27	132	159	1	0	144	144	146	1	0	1
143	0.000	0.000	0.001	0.000	0.000	0.000	69	0.3	6	9.7	25	133	158	1	0	145	144	146	1	0	1
143	0.000	0.000	0.001	0.000	0.000	0.000	69	0.3	6	9.4	27	132	159	1	0	145	144	146	1	0	1
143	0.000	0.000	0.001	0.000	0.000	0.000	69	0.3	8	9.9	27	132	159	1	0	146	145	146	1	0	1
143	0.000	0.000	0.003	0.000	0.000	0.000	67	0.3	4	10.5	25	133	158	1	0	146	145	147	1	0	1
143	0.000	0.000	0.006	0.000	0.000	0.000	67	0.4	4	13.3	56	106	162	3	1	146	145	147	2	1	1
143	0.000	0.000	0.003	0.000	0.000	0.000	68	0.3	5	10.3	27	132	159	1	0	146	145	147	1	0	1
143	0.000	0.000	0.007	0.000	0.000	0.000	66	0.4	4	13.6	56	106	162	4	1	146	145	147	2	1	1
143	0.000	0.000	0.003	0.000	0.000	0.000	66	0.4	4	12.4	56	106	162	4	1	145	144	146	1	1	1
139	0.012	0.001	0.006	0.000	0.000	0.000	53	1.4	0	18.1	108	96	204	5	0	144	153	152	47	0	1
139	0.009	0.000	0.007	0.000	0.000	0.000	54	1.0	0	18.1	85	96	181	5	0	148	147	148	12	0	1
139	0.009	0.000	0.006	0.000	0.000	0.000	54	1.0	0	18.9	93	96	189	6	0	144	150	150	25	0	1
139	0.011	0.001	0.007	0.000	0.000	0.000	53	1.5	0	21.0	107	97	204	7	0	152	155	153	39	0	1
139	0.011	0.001	0.005	0.000	0.000	0.000	52	1.6	0	20.0	107	97	204	8	0	138	155	153	77	0	1
141	0.006	0.000	0.006	0.000	0.000	0.000	58	1.3	0	5.7	78	94	172	6	1	142	142	147	8	0	1
141	0.001	0.000	0.007	0.000	0.000	0.000	65	0.5	1	11.7	24	133	157	1	0	150	147	149	2	1	1
141	0.001	0.000	0.008	0.000	0.000	0.000	67	0.4	0	11.2	24	133	157	0	0	150	147	149	1	1	1
133	0.002	0.001	0.009	0.003	0.000	0.000	56	2.2	0	7.2	90	71	161	2	1	139	120	139	19	1	1
133	0.003	0.001	0.010	0.004	0.000	0.000	57	1.9	0	6.2	90	71	161	7	1	140	124	140	20	1	1
140	0.000	0.002	0.004	0.008	0.000	0.000	62	1.4	0	4.9	93	66	159	5	1	142	134	144	30	1	1
140	0.000	0.001	0.003	0.007	0.000	0.000	62	1.2	0	3.9	93	66	159	5	2	142	136	144	26	1	1
140	0.000	0.001	0.002	0.008	0.000	0.000	61	1.3	0	3.9	93	66	159	7	1	142	135	144	24	1	1
140	0.000	0.001	0.003	0.008	0.000	0.000	61	1.3	0	4.0	94	65	159	6	1	142	134	143	25	1	1
140	0.000	0.002	0.002	0.008	0.000	0.000	61	1.4	0	4.8	96	63	159	6	0	142	133	143	29	1	1
140	0.000	0.001	0.002	0.008	0.000	0.000	60	1.3	0	3.9	94	65	159	7	1	142	134	143	27	1	1
140	0.000	0.002	0.002	0.008	0.000	0.000	60	1.4	0	4.7	96	63	159	8	1	142	133	143	29	1	1
140	0.000	0.002	0.003	0.008	0.000	0.000	60	1.5	0	6.2	105	63	168	8	1	142	125	143	26	1	1
140	0.000	0.001	0.003	0.008	0.000	0.000	60	1.5	0	6.5	105	63	168	8	0	142	124	142	25	1	1
140	0.000	0.001	0.003	0.007	0.000	0.000	61	1.4	0	10.0	105	63	168	8	0	142	125	143	23	1	1
140	0.000	0.003	0.003	0.008	0.000	0.000	60	1.8	0	8.4	107	52	159	7	0	142	124	141	34	1	1
140	0.000	0.004	0.002	0.007	0.000	0.000	59	1.8	0	8.8	102	52	154	5	0	142	122	141	34	1	1
137	0.000	0.004	0.002	0.006	0.000	0.000	59	2.0	0	9.8	116	52	168	6	1	142	121	141	34	1	1
137	0.000	0.004	0.002	0.007	0.000	0.000	59	1.8	0	8.6	102	52	154	10	1	142	123	141	35	1	1
137	0.002	0.005	0.003	0.006	0.000	0.000	58	1.9	0	7.8	116	52	168	9	2	142	130	139	38	1	1
137	0.002	0.004	0.010	0.007	0.000	0.000	58	1.8	0	5.5	116	52	168	7	1	139	130	139	32	1	1
137	0.002	0.004	0.007	0.006	0.000	0.000	58	1.9	0	3.9	109	52	161	8	2	139	132	140	28	1	1
137	0.002	0.002	0.007	0.006	0.000	0.000	58	1.8	0	5.9	106	60	166	6	0	139	133	141	22	1	1
137	0.000	0.001	0.006	0.004	0.000	0.000	59	1.9	0	6.5	102	64	166	5	1	139	133	140	14	1	1
137	0.000	0.001	0.007	0.004	0.000	0.000	59	1.8	0	6.4	102	64	166	5	1	139	133	140	13	1	1
137	0.000	0.000	0.008	0.005	0.000	0.000	59	1.8	0	7.2	102	64	166	7	1	142	133	140	18	1	1
137	0.000	0.000	0.007	0.004	0.000	0.000	59	1.8	0	6.6	102	64	166	8	2	142	134	140	16	1	1
137	0.000	0.000	0.007	0.003	0.000	0.000	58	1.9	0	6.5	102	64	166	10	2	142	134	141	14	1	1
137	0.000	0.001	0.006	0.003	0.000	0.000	59	1.8	0	6.5	102	64	166	5	2	142	134	140	14	1	1
138	0.010	0.000	0.004	0.001	0.000	0.000	51	1.2	0	1.8	98	73	171	9	0	148	145	147	14	1	1
138	0.009	0.000	0.003	0.001	0.000	0.000	51	1.3	0	2.0	98	73	171	8	0	148	145	147	16	1	1
138	0.009	0.000	0.008	0.001	0.000	0.000	51	1.2	0	3.1	98	73	171	9	0	148	145	148	14	1	1
138	0.012	0.000	0.007	0.001	0.000	0.000	50	1.2	0	1.4	98	73	171	7	0	148	146	148	11	1	1
138	0.011	0.000	0.007	0.001	0.000	0.000	50	1.2	0	1.6	98	73	171	7	0	148	146	148	12	1	1
138	0.012	0.000	0.006	0.001	0.000	0.000	51	1.2	0	1.6	98	73	171	8	0	148	147	149	12	1	1
138	0.013	0.000	0.007	0.001	0.000	0.000	51	1.2	0	1.7	98	73	171	7	0	148	147	149	12	1	1
138	0.014	0.000	0.004	0.000	0.000	0.000	51	1.1	0	2.1	49	122	171	3	0	148	148	149	6	0	1
138	0.014	0.000	0.006	0.000	0.000	0.000	51	0.9	0	0.6	49	122	171	2	0	147	149	149	5	0	1
138	0.016	0.000	0.005	0.000	0.000	0.000	51	0.9	0	0.1	49	122	171	3	0	147	149	150	6	0	1
138	0.017	0.000	0.004	0.000	0.000	0.000	51	0.9	0	0.2	49	122	171	4	0	147	149	150	5	0	1
138	0.015	0.000	0.004	0.000	0.000	0.000	51	0.9	0	1.9	49	122	171	2	0	147	148	149	5	0	1
138	0.014	0.000	0.004	0.000	0.000	0.000	51	0.9	0	2.2	49	122	171	3	0	147	148	149	5	0	1
138	0.016	0.000	0.000	0.000	0.000	0.000	51	1.0	0	2.4	64	107	171	2	3	147	148	149	7	0	1
138	0.014	0.000	0.003	0.000	0.000	0.000	51	1.0	0	2.7	64	107	171	3	1	147	148	149	6	0	1
138	0.013	0.000	0.003	0.001	0.000	0.000	50	1.1	0	2.9	87	84	171	4	1	147	147	148	10	1	1
138	0.014	0.000	0.003	0.001	0.000	0.000	50	1.3	0	1.9	87	84	171	5	1	147	146	148	11	1	1
138	0.015	0.000	0.003	0.000	0.000	0.000	50	1.0	0	2.2	72	99	171	5	1	147	147	148	7	1	1
138	0.008	0.000	0.000	0.003	0.000	0.000	49	1.6	0	4.7	92	80	172	4	1	142	142	145	21	1	1
138	0.007	0.000	0.002	0.004	0.000	0.000	49	1.6	0	6.0	92	80	172	5	1	142	141	145	23	1	1
138	0.006	0.000	0.003	0.004	0.000	0.000	49	1.6	0	5.7	92	80	172	5	0	142	140	144	22	1	1
138	0.006	0.002	0.002	0.005	0.000	0.000	50	1.7	0	5.6	102	70	172	6	0	142	139	144	26	1	1
138	0.004	0.002	0.004	0.006	0.000	0.000	50	1.9	0	5.6	102	70	172	8	0	142	137	142	32	1	1
138	0.003	0.002	0.006	0.007	0.000	0.000	50	2.3	0	4.6	102	70	172	7	0	138	135	140	26	1	1
138	0.003	0.002	0.007	0.008	0.000	0.000	51	2.3	0	4.5	112	60	172	6	0	138	131	139	41	1	1
138	0.002	0.002	0.004	0.009	0.000	0.000	51	2.5	0	5.2	112	60	172	4	0	138	129	138	46	1	1
138	0.002	0.002	0.004	0.008	0.000	0.000	51	2.4	0	5.8	102	70	172	9	1	135	132	138	32	1	1
138	0.003	0.003	0.005	0.009	0.000	0.000	50	2.4	0	6.0	102	70	172	6	0	138	132	138	30	1	1
138	0.001	0.003	0.006	0.010	0.000	0.000	52	2.6	0	2.4	104	60	164	4	0	135	124	135	48	1	1
138	0.000	0.002	0.009	0.014	0.000	0.002	60	2.6	0	0.0	106	55	161	8	2	117	99	117	80	0	3
138	0.000	0.002	0.009	0.011	0.000	0.002	57	2.6	0	0.7	106	55	161	6	1	135	107	122	121	1	3
138	0.000	0.000	0.009	0.013	0.000	0.000	57	2.5	0	0.7	106	55	161	6	1	135	109	123	113	1	3
138	0.000	0.002	0.010	0.012	0.000	0.002	58	2.5	0	1.2	106	55	161	8	1	117	103	119	76	0	3
139	0.002	0.000	0.006	0.000	0.000	0.000	58	0.7	2	11.5	51	112	163	3	0	150	147	150	4	1	1
139	0.004	0.000	0.007	0.000	0.000	0.000	58	0.5	0	8.1	61	107	168	3	0	153	152	154	3	1	1
139	0.004	0.000	0.005	0.000	0.000	0.000	58	0.6	0	8.5	56	112	168	2	0	153	152	154	3	1	1
141	0.006	0.000	0.007	0.000	0.000	0.000	58	0.6	0	8.1	39	132	171	0	0	153	153	155	3	0	1
141	0.005	0.000	0.006	0.000	0.000	0.000	58	0.5	0	7.8	37	131	168	0	0	153	153	154	2	0	1
141	0.004	0.000	0.008	0.000	0.000	0.000	58	0.6	0	7.9	63	108	171	3	1	153	153	155	4	1	1
141	0.004	0.000	0.008	0.000	0.000	0.000	58	0.6	1	8.5	60	111	171	3	1	153	154	156	4	1	1
141	0.005	0.000	0.007	0.000	0.000	0.000	58	0.6	3	9.6	63	108	171	3	1	156	154	157	5	1	1
141	0.005	0.000	0.008	0.000	0.000	0.000	58	0.6	1	9.1	63	108	171	3	1	160	154	157	9	1	1
141	0.004	0.000	0.008	0.001	0.000	0.000	57	0.7	1	8.5	75	96	171	3	0	160	152	156	14	1	1
141	0.005	0.000	0.008	0.001	0.000	0.000	57	0.7	1	8.1	69	102	171	4	0	160	152	156	13	1	1
139	0.007	0.002	0.011	0.007	0.000	0.000	55	1.4	0	3.6	71	95	166	5	0	161	140	147	72	1	1
139	0.006	0.002	0.010	0.006	0.000	0.000	54	1.6	0	2.2	96	76	172	4	1	161	139	145	78	1	1
139	0.009	0.001	0.009	0.005	0.000	0.000	52	1.5	4	10.2	96	76	172	5	0	158	140	145	57	1	1
139	0.009	0.001	0.009	0.006	0.000	0.000	53	1.6	6	7.0	96	76	172	4	0	158	140	146	61	1	1
139	0.011	0.002	0.010	0.008	0.000	0.000	51	1.9	0	0.0	96	76	172	5	0	147	136	141	42	1	1
139	0.011	0.001	0.008	0.007	0.000	0.000	50	1.5	0	10.0	99	76	175	6	0	147	138	143	37	1	1
139	0.009	0.001	0.008	0.006	0.000	0.000	50	1.4	0	14.5	102	76	178	8	0	162	142	147	71	1	1
139	0.010	0.001	0.008	0.004	0.000	0.000	50	1.4	0	15.0	102	76	178	10	0	162	144	149	57	1	1
139	0.013	0.000	0.009	0.000	0.000	0.000	50	0.9	0	13.4	71	107	178	4	0	162	153	158	25	1	1
130	0.006	0.000	0.014	0.012	0.000	0.000	57	2.0	0	0.0	125	54	179	4	2	121	115	122	94	0	1
130	0.002	0.000	0.014	0.014	0.000	0.000	59	2.1	0	0.0	127	50	177	8	2	121	101	115	79	0	3
130	0.002	0.000	0.012	0.013	0.000	0.000	61	2.0	0	0.0	127	50	177	5	0	121	98	115	94	0	3
130	0.001	0.000	0.012	0.013	0.000	0.000	62	2.0	0	0.0	127	50	177	7	0	60	95	112	269	0	3
130	0.001	0.001	0.012	0.010	0.000	0.001	62	2.2	0	0.0	161	50	211	9	0	60	89	113	250	0	3
130	0.002	0.002	0.009	0.009	0.000	0.002	63	2.3	0	0.0	161	50	211	5	0	60	88	113	254	-1	3
130	0.002	0.002	0.008	0.008	0.000	0.002	64	2.4	0	0.0	161	50	211	8	0	60	85	112	243	-1	3
130	0.002	0.002	0.008	0.008	0.000	0.002	64	2.5	0	0.0	161	50	211	7	0	60	83	114	241	-1	3
130	0.000	0.002	0.007	0.007	0.000	0.002	66	2.4	0	0.0	161	50	211	7	0	60	75	108	190	-1	3
140	0.003	0.001	0.007	0.004	0.000	0.000	64	1.2	0	5.9	74	95	169	6	0	142	137	142	18	0	1
140	0.004	0.001	0.007	0.005	0.000	0.000	64	1.1	0	3.8	73	96	169	5	0	146	140	144	16	0	1
140	0.004	0.000	0.006	0.004	0.000	0.000	65	0.9	0	5.5	73	96	169	4	0	145	141	145	13	0	1
140	0.004	0.001	0.007	0.004	0.000	0.000	64	1.0	0	5.7	69	96	165	4	0	145	139	144	17	1	1
140	0.004	0.001	0.008	0.005	0.000	0.000	63	1.2	0	6.2	70	95	165	6	0	147	137	143	25	1	1
140	0.003	0.001	0.007	0.004	0.000	0.000	63	1.2	0	5.3	68	93	161	4	0	143	136	143	19	1	1
140	0.002	0.001	0.007	0.004	0.000	0.000	64	1.2	0	5.9	68	93	161	2	0	143	135	142	19	1	1
140	0.002	0.001	0.007	0.005	0.000	0.000	64	1.2	0	6.5	66	95	161	5	0	143	134	141	21	1	1
140	0.002	0.001	0.008	0.004	0.000	0.000	63	1.4	0	6.6	70	93	163	7	0	142	134	141	22	1	1
140	0.003	0.001	0.007	0.005	0.000	0.000	63	1.5	0	7.2	153	75	228	9	0	142	120	142	22	0	1
140	0.002	0.003	0.006	0.006	0.000	0.000	62	1.6	0	9.1	153	75	228	9	0	142	118	142	20	0	1
140	0.002	0.002	0.004	0.005	0.000	0.000	63	1.3	1	9.1	153	75	228	7	0	142	121	143	17	0	1
140	0.001	0.002	0.006	0.006	0.000	0.000	63	1.5	1	9.5	163	65	228	5	1	142	118	141	27	0	1
140	0.001	0.003	0.005	0.006	0.000	0.000	62	1.5	1	7.5	163	65	228	5	1	142	118	142	27	0	1
140	0.000	0.003	0.005	0.004	0.000	0.000	63	1.2	3	8.1	94	65	159	3	2	140	131	139	28	1	1
140	0.000	0.004	0.005	0.004	0.000	0.000	63	1.2	3	8.1	94	65	159	2	2	140	133	140	22	1	1
140	0.000	0.008	0.006	0.002	0.000	0.003	62	2.4	2	0.3	56	85	141	3	0	131	123	130	11	1	3
140	0.000	0.003	0.005	0.003	0.000	0.001	63	1.7	5	4.0	83	65	148	4	1	140	127	133	32	1	1
140	0.000	0.004	0.008	0.004	0.000	0.001	64	1.3	0	6.4	60	91	151	4	0	139	128	133	21	1	1
133	0.001	0.001	0.005	0.005	0.000	0.000	57	2.6	0	1.5	81	83	164	6	0	132	125	132	21	0	1
133	0.000	0.001	0.009	0.005	0.000	0.000	58	2.6	0	1.2	66	83	149	4	0	135	123	132	21	1	1
133	0.000	0.002	0.007	0.004	0.000	0.000	60	2.2	0	1.1	65	83	148	1	0	135	124	132	19	1	1
133	0.000	0.004	0.006	0.004	0.000	0.000	60	2.5	0	0.0	65	83	148	2	0	131	122	130	14	1	1
133	0.000	0.003	0.009	0.004	0.000	0.000	61	2.5	0	0.1	62	86	148	2	0	133	123	130	14	1	1
133	0.000	0.004	0.008	0.003	0.000	0.000	61	2.9	0	0.1	49	93	142	3	0	133	124	132	9	1	1
133	0.000	0.003	0.009	0.003	0.000	0.000	63	2.4	0	0.1	39	103	142	2	0	133	125	131	8	1	1
133	0.000	0.003	0.009	0.003	0.000	0.000	63	2.3	0	0.5	36	103	139	2	0	133	124	130	8	1	1
133	0.000	0.003	0.009	0.003	0.000	0.000	63	2.2	0	0.5	36	103	139	1	0	133	124	130	8	1	1
133	0.000	0.004	0.008	0.004	0.000	0.000	62	2.2	0	0.5	48	97	145	2	0	133	123	129	11	1	1
133	0.000	0.003	0.007	0.003	0.000	0.000	62	2.1	0	2.3	74	88	162	4	0	133	124	130	12	0	1
133	0.000	0.004	0.006	0.004	0.000	0.000	62	2.1	0	1.6	98	64	162	2	0	133	122	129	25	0	1
133	0.000	0.003	0.005	0.004	0.000	0.000	62	2.0	0	1.6	100	62	162	3	0	133	119	128	44	0	1
133	0.000	0.004	0.005	0.004	0.000	0.000	62	2.2	0	2.0	103	62	165	3	0	129	117	128	44	0	1
133	0.000	0.001	0.006	0.003	0.000	0.003	60	2.2	0	5.0	105	60	165	5	0	100	104	108	52	0	3
133	0.000	0.001	0.006	0.003	0.000	0.002	62	1.9	0	4.2	105	60	165	4	0	128	108	116	71	0	3
133	0.000	0.001	0.005	0.003	0.000	0.002	61	2.3	0	5.0	105	60	165	4	0	128	103	116	70	0	3
133	0.000	0.001	0.005	0.003	0.000	0.003	60	2.8	0	8.1	105	60	165	5	0	100	98	107	45	0	3
133	0.000	0.001	0.006	0.002	0.000	0.002	60	2.7	0	8.2	105	60	165	5	0	119	100	112	53	0	3
133	0.000	0.001	0.006	0.002	0.000	0.002	60	2.8	0	7.7	105	60	165	5	0	119	100	111	53	0	3
133	0.000	0.001	0.006	0.001	0.000	0.002	60	3.1	0	9.5	105	60	165	7	0	93	98	107	57	0	3
133	0.000	0.000	0.007	0.001	0.000	0.003	60	3.2	0	0.0	105	60	165	6	0	93	94	102	42	0	3
133	0.000	0.000	0.010	0.002	0.000	0.002	60	3.0	0	0.0	105	60	165	5	0	125	97	105	80	0	3
133	0.000	0.000	0.012	0.001	0.000	0.002	60	3.0	0	0.0	97	58	155	4	0	125	96	105	79	0	3
133	0.000	0.000	0.010	0.003	0.000	0.001	60	3.3	0	0.0	81	58	139	2	0	125	96	111	75	1	3
133	0.000	0.000	0.010	0.003	0.000	0.002	60	3.0	0	0.0	104	58	162	5	0	125	95	103	90	0	3
133	0.000	0.000	0.010	0.003	0.000	0.002	61	2.8	0	0.0	105	57	162	6	0	125	96	103	95	0	3
133	0.001	0.000	0.009	0.004	0.000	0.002	60	2.8	0	0.0	127	57	184	8	0	125	98	104	95	0	3
133	0.001	0.000	0.009	0.003	0.000	0.003	61	2.6	0	0.0	132	52	184	7	0	125	96	102	108	0	3
133	0.000	0.000	0.004	0.004	0.000	0.004	63	1.9	0	0.0	104	62	166	5	0	77	93	92	74	-1	3
133	0.001	0.000	0.009	0.004	0.000	0.004	63	2.1	0	0.0	133	52	185	4	0	125	94	97	147	-1	3
133	0.001	0.000	0.008	0.004	0.000	0.003	62	2.2	0	0.0	133	52	185	5	0	125	100	108	114	0	3
133	0.001	0.000	0.010	0.004	0.000	0.002	61	2.7	0	0.0	132	52	184	5	0	125	96	110	103	0	3
133	0.000	0.000	0.010	0.003	0.000	0.002	61	2.8	0	0.0	98	57	155	4	0	125	95	103	95	0	3
138	0.007	0.000	0.006	0.000	0.000	0.000	58	0.6	0	14.4	50	133	183	1	0	152	157	155	17	0	1
138	0.005	0.000	0.005	0.000	0.000	0.000	58	0.6	0	19.3	46	137	183	3	0	149	160	161	27	1	1
138	0.011	0.000	0.005	0.000	0.000	0.000	57	0.7	0	3.7	48	135	183	3	0	152	160	161	21	1	1
138	0.010	0.000	0.006	0.000	0.000	0.000	57	0.8	0	3.8	51	127	178	3	0	149	150	150	10	0	1
138	0.009	0.000	0.005	0.000	0.000	0.000	57	0.8	0	7.3	41	127	168	2	0	148	145	148	6	0	1
138	0.007	0.000	0.004	0.000	0.000	0.000	59	0.7	0	8.5	43	125	168	1	0	148	145	147	6	0	1
138	0.005	0.000	0.005	0.000	0.000	0.000	59	0.8	0	8.0	43	125	168	2	0	148	143	145	7	0	1
138	0.006	0.000	0.005	0.000	0.000	0.000	59	0.8	0	7.7	43	125	168	3	0	148	144	146	6	0	1
138	0.006	0.000	0.004	0.000	0.000	0.000	60	0.7	0	7.7	43	125	168	1	0	148	145	146	6	0	1
138	0.006	0.002	0.003	0.000	0.000	0.000	60	0.8	0	7.4	43	125	168	1	0	148	144	147	6	0	1
135	0.012	0.002	0.004	0.000	0.000	0.000	60	0.9	0	0.5	44	124	168	3	0	148	144	147	6	0	1
135	0.011	0.002	0.004	0.000	0.000	0.000	60	0.9	0	0.4	44	124	168	3	0	148	144	146	6	0	1
135	0.012	0.002	0.002	0.000	0.000	0.000	59	1.0	0	0.5	39	124	163	1	0	148	143	146	6	0	1
135	0.011	0.002	0.004	0.000	0.000	0.000	60	0.9	0	0.5	39	124	163	1	0	148	143	146	6	0	1
135	0.009	0.002	0.006	0.000	0.000	0.000	60	0.9	0	3.8	39	124	163	2	0	148	143	146	6	0	1
135	0.007	0.002	0.006	0.000	0.000	0.000	60	1.0	0	5.2	40	123	163	0	0	148	142	145	7	0	1
135	0.007	0.002	0.006	0.000	0.000	0.000	62	0.9	1	8.2	41	119	160	1	0	148	142	146	8	0	1
135	0.006	0.002	0.008	0.000	0.000	0.000	63	0.8	0	9.5	40	120	160	1	0	147	141	145	6	0	1
135	0.005	0.000	0.002	0.000	0.000	0.000	63	0.8	0	9.9	41	119	160	1	0	147	141	143	7	0	1
135	0.003	0.000	0.002	0.000	0.000	0.000	64	0.7	0	9.5	41	119	160	2	0	147	141	143	7	0	1
135	0.002	0.000	0.003	0.000	0.000	0.000	64	0.6	0	10.2	41	119	160	3	0	147	141	143	7	0	1
135	0.001	0.000	0.003	0.000	0.000	0.000	65	0.6	0	10.3	38	119	157	4	0	147	141	143	6	0	1
135	0.008	0.001	0.004	0.000	0.000	0.000	61	0.8	0	6.7	48	120	168	2	0	148	143	145	6	0	1
135	0.007	0.000	0.004	0.000	0.000	0.000	58	0.8	0	7.5	50	121	171	3	0	147	146	147	8	0	1
135	0.007	0.000	0.005	0.000	0.000	0.000	58	0.8	0	6.9	50	121	171	2	0	148	146	147	8	0	1
135	0.006	0.000	0.004	0.000	0.000	0.000	58	1.0	0	5.6	43	121	164	3	0	147	144	146	6	0	1
135	0.006	0.000	0.001	0.000	0.000	0.000	58	1.1	0	4.3	53	111	164	3	0	141	143	145	8	0	1
135	0.006	0.000	0.000	0.000	0.000	0.000	58	1.2	0	5.2	51	111	162	2	0	141	141	143	6	0	1
135	0.008	0.000	0.005	0.000	0.000	0.000	58	1.0	0	4.7	58	113	171	3	0	141	144	146	10	0	1
125	0.000	0.000	0.007	0.009	0.000	0.000	62	1.6	0	1.5	73	68	141	7	0	129	117	125	32	1	1
125	0.000	0.000	0.007	0.008	0.000	0.000	62	1.7	0	1.2	73	68	141	9	0	128	117	126	29	1	1
125	0.000	0.000	0.007	0.008	0.000	0.000	62	1.4	0	1.4	73	68	141	8	0	128	117	125	30	1	1
125	0.000	0.000	0.008	0.009	0.000	0.000	62	1.3	0	1.3	70	68	138	6	0	128	117	124	25	1	1
125	0.000	0.001	0.007	0.007	0.000	0.000	62	1.9	0	1.6	70	68	138	6	0	130	118	127	25	1	1
125	0.000	0.001	0.009	0.009	0.000	0.000	63	1.6	0	1.7	70	68	138	4	0	130	116	124	32	1	1
125	0.000	0.001	0.009	0.008	0.000	0.000	62	1.7	0	1.1	72	68	140	5	0	130	116	125	29	1	1
125	0.000	0.001	0.008	0.008	0.000	0.000	62	1.7	0	1.3	69	71	140	8	0	130	117	125	30	1	1
125	0.001	0.001	0.008	0.007	0.000	0.000	62	1.6	0	4.8	82	71	153	5	0	130	118	125	30	0	1
125	0.000	0.001	0.007	0.007	0.000	0.000	61	1.8	0	5.1	73	74	147	4	0	130	117	125	26	1	1
125	0.006	0.002	0.009	0.004	0.000	0.000	59	2.1	0	7.8	90	74	164	8	1	131	122	126	27	0	1
125	0.005	0.002	0.006	0.006	0.000	0.000	60	1.9	0	6.7	90	74	164	6	1	130	121	124	26	0	1
125	0.005	0.002	0.006	0.009	0.000	0.000	60	1.3	0	7.5	96	68	164	6	1	110	120	120	34	0	1
125	0.004	0.001	0.006	0.009	0.000	0.000	61	1.2	0	6.9	96	68	164	5	1	110	118	119	30	0	1
125	0.002	0.002	0.009	0.009	0.000	0.000	63	1.2	0	0.8	100	64	164	8	1	114	114	117	15	0	1
125	0.001	0.001	0.008	0.010	0.000	0.000	63	1.1	0	4.1	100	64	164	5	2	116	114	117	13	0	1
125	0.000	0.001	0.008	0.011	0.000	0.000	65	1.1	0	5.5	76	64	140	5	1	116	111	115	9	1	1
125	0.000	0.001	0.008	0.009	0.000	0.001	65	1.0	0	5.2	76	64	140	4	1	116	111	115	10	0	1
125	0.000	0.001	0.009	0.008	0.000	0.001	64	1.1	0	5.0	82	64	146	5	2	116	110	115	10	0	1
125	0.000	0.000	0.009	0.006	0.000	0.001	65	1.0	0	5.6	82	64	146	6	2	116	110	115	9	0	1
125	0.000	0.000	0.008	0.007	0.000	0.001	65	1.0	0	5.8	82	64	146	7	2	117	111	116	9	0	1
125	0.000	0.000	0.009	0.006	0.000	0.001	65	1.1	0	7.3	82	64	146	5	1	116	111	116	9	0	1
125	0.000	0.000	0.009	0.007	0.000	0.001	65	1.3	0	6.5	82	64	146	5	1	116	111	116	8	0	1
125	0.000	0.000	0.010	0.005	0.000	0.001	65	1.2	0	6.3	70	76	146	3	0	116	111	114	8	0	1
125	0.000	0.000	0.006	0.006	0.000	0.001	65	1.3	0	3.0	77	78	155	4	0	110	111	113	8	0	1
125	0.000	0.000	0.008	0.007	0.000	0.001	64	1.3	0	2.6	77	78	155	4	0	114	111	114	7	0	1
125	0.000	0.000	0.008	0.007	0.000	0.001	64	1.4	0	2.7	77	78	155	4	0	107	111	113	11	0	1
125	0.000	0.000	0.007	0.008	0.000	0.000	64	1.4	0	2.4	90	65	155	6	0	111	111	114	8	0	1
125	0.000	0.000	0.007	0.011	0.000	0.000	64	1.3	0	1.9	90	65	155	5	0	111	111	113	7	0	1
125	0.000	0.000	0.008	0.011	0.000	0.000	65	1.3	0	1.7	90	65	155	5	0	111	111	113	7	0	1
129	0.000	0.002	0.005	0.013	0.000	0.000	58	4.3	0	0.0	158	72	230	10	1	111	88	126	33	-1	1
129	0.000	0.002	0.005	0.013	0.000	0.000	58	3.9	0	0.0	158	72	230	10	1	113	90	124	28	-1	1
129	0.000	0.000	0.006	0.010	0.000	0.001	65	2.6	0	0.0	101	50	151	9	2	105	91	113	13	0	3
129	0.000	0.001	0.006	0.009	0.000	0.001	65	2.8	0	0.0	101	50	151	7	2	105	88	112	13	0	3
129	0.000	0.001	0.006	0.008	0.000	0.002	65	2.8	0	0.0	101	50	151	7	2	105	86	112	13	0	3
129	0.000	0.001	0.005	0.008	0.000	0.002	65	2.9	0	0.0	101	50	151	6	2	105	84	111	12	0	3
129	0.000	0.001	0.007	0.007	0.000	0.002	65	3.1	0	0.0	180	50	230	10	1	105	83	112	14	-1	3
129	0.000	0.001	0.006	0.006	0.000	0.003	66	2.9	0	0.0	94	50	144	8	0	105	85	109	11	0	3
129	0.000	0.001	0.006	0.005	0.000	0.003	66	2.8	0	0.0	94	50	144	6	0	105	85	110	11	0	3
129	0.000	0.001	0.006	0.006	0.000	0.002	66	3.2	0	0.0	96	50	146	8	0	105	82	108	10	0	3
129	0.000	0.001	0.007	0.006	0.000	0.002	67	3.2	0	0.0	80	66	146	7	0	105	80	107	9	0	3
129	0.000	0.001	0.006	0.005	0.000	0.002	67	3.3	0	0.0	129	63	192	7	0	105	80	107	14	-1	3
128	0.000	0.001	0.008	0.005	0.000	0.002	66	2.9	0	0.0	129	63	192	6	1	103	84	110	20	-1	3
128	0.000	0.002	0.007	0.005	0.000	0.002	65	2.6	0	0.0	129	63	192	6	0	103	92	114	28	0	3
128	0.000	0.002	0.007	0.005	0.000	0.002	66	2.7	0	0.0	129	63	192	4	0	105	89	112	21	0	3
128	0.000	0.002	0.007	0.006	0.000	0.002	65	2.5	0	0.0	129	63	192	6	0	104	94	115	28	0	3
128	0.000	0.003	0.007	0.006	0.000	0.002	65	2.5	0	0.0	129	63	192	5	0	114	97	116	25	0	3
128	0.000	0.004	0.008	0.008	0.000	0.000	64	2.0	0	0.0	100	71	171	4	2	122	112	123	20	0	1
128	0.000	0.007	0.007	0.007	0.000	0.000	64	2.2	0	0.0	84	87	171	5	1	129	118	125	13	0	1
128	0.000	0.007	0.007	0.007	0.000	0.000	65	2.0	0	1.1	84	87	171	3	1	129	119	127	13	0	1
128	0.000	0.005	0.008	0.009	0.000	0.000	63	2.4	0	1.1	107	64	171	6	0	129	114	127	18	0	1
128	0.000	0.006	0.009	0.009	0.000	0.000	63	2.5	0	1.2	107	64	171	4	1	129	115	128	17	0	1
128	0.000	0.006	0.009	0.010	0.000	0.000	63	2.7	0	1.3	96	64	160	6	1	129	111	128	21	0	1
128	0.000	0.007	0.008	0.009	0.000	0.000	63	3.0	0	1.5	96	64	160	5	2	127	109	128	24	0	1
128	0.000	0.008	0.007	0.010	0.000	0.000	63	2.8	0	1.4	96	64	160	3	0	127	114	129	16	0	1
128	0.000	0.000	0.008	0.010	0.000	0.000	63	4.2	0	0.0	90	66	156	5	0	69	73	118	128	0	3
125	0.005	0.015	0.007	0.000	0.000	0.000	66	4.1	5	0.3	23	123	146	0	0	133	126	134	1	0	1
128	0.000	0.002	0.002	0.000	0.000	0.000	70	1.9	16	4.1	20	119	139	2	0	130	127	131	1	0	1
127	0.003	0.017	0.005	0.000	0.000	0.000	66	4.2	5	0.3	23	123	146	0	0	133	126	134	0	0	1
127	0.003	0.003	0.007	0.000	0.000	0.000	65	1.2	44	3.0	26	120	146	2	0	126	126	128	1	-1	1
127	0.003	0.003	0.007	0.000	0.000	0.000	65	1.2	46	3.0	26	120	146	2	0	126	126	128	1	-1	1
127	0.000	0.000	0.005	0.000	0.000	0.000	65	0.7	55	3.5	13	120	133	1	0	126	126	127	0	0	1
127	0.000	0.001	0.005	0.000	0.000	0.000	62	0.7	58	4.1	20	120	140	1	0	126	125	126	0	-1	1
127	0.000	0.001	0.005	0.000	0.000	0.000	63	0.7	59	4.0	20	120	140	2	0	126	125	127	0	-1	1
127	0.000	0.001	0.006	0.000	0.000	0.000	62	0.7	64	4.1	20	120	140	1	0	124	125	126	1	-1	1
127	0.000	0.001	0.006	0.000	0.000	0.000	60	0.7	60	4.1	20	120	140	2	0	122	124	125	1	-1	1
127	0.000	0.001	0.006	0.000	0.000	0.000	60	0.6	61	4.2	20	120	140	2	0	123	124	125	0	-1	1
127	0.000	0.000	0.006	0.000	0.000	0.000	62	0.5	73	4.0	12	119	131	1	0	123	124	125	0	0	1
127	0.000	0.000	0.005	0.000	0.000	0.000	63	0.5	71	4.0	12	119	131	1	0	123	123	124	0	0	1
127	0.000	0.000	0.006	0.000	0.000	0.000	65	0.4	67	4.3	12	119	131	1	0	123	124	125	0	0	1
127	0.000	0.000	0.006	0.000	0.000	0.000	70	0.4	63	4.1	18	119	137	2	0	123	125	126	1	0	1
127	0.000	0.001	0.006	0.000	0.000	0.000	71	0.9	52	3.8	18	119	137	2	0	129	125	128	1	0	1
127	0.000	0.001	0.005	0.000	0.000	0.000	66	0.8	58	4.1	19	120	139	1	0	123	125	127	1	-1	1
130	0.009	0.003	0.008	0.000	0.000	0.000	65	1.7	0	1.3	45	112	157	4	0	136	135	138	3	0	1
130	0.009	0.000	0.004	0.000	0.000	0.000	67	1.1	0	1.0	45	112	157	5	0	137	136	138	2	0	1
130	0.009	0.001	0.002	0.000	0.000	0.000	66	1.2	0	1.0	45	112	157	6	0	137	136	138	2	0	1
130	0.008	0.001	0.000	0.000	0.000	0.000	67	0.9	0	1.2	45	112	157	4	0	137	137	139	3	0	1
130	0.007	0.001	0.000	0.000	0.000	0.000	67	0.9	0	2.8	46	112	158	4	0	137	138	139	4	0	1
130	0.007	0.001	0.005	0.000	0.000	0.000	69	0.7	5	4.2	46	112	158	4	0	139	139	140	3	0	1
130	0.007	0.001	0.001	0.000	0.000	0.000	70	0.7	6	4.4	31	127	158	1	0	139	140	141	3	0	1
130	0.007	0.001	0.001	0.000	0.000	0.000	71	0.7	5	3.8	31	127	158	1	0	139	139	140	3	0	1
130	0.008	0.001	0.005	0.000	0.000	0.000	70	0.7	6	4.3	31	127	158	1	0	139	140	141	3	0	1
130	0.007	0.001	0.001	0.000	0.000	0.000	71	0.7	10	4.0	31	127	158	1	0	139	140	141	3	0	1
130	0.005	0.001	0.001	0.000	0.000	0.000	72	0.9	9	4.8	31	127	158	1	0	139	139	141	3	0	1
130	0.005	0.001	0.001	0.000	0.000	0.000	72	0.9	8	4.4	31	127	158	2	0	139	139	140	3	0	1
130	0.005	0.000	0.001	0.000	0.000	0.000	73	0.6	9	5.0	32	126	158	2	0	139	140	141	3	0	1
130	0.004	0.000	0.001	0.000	0.000	0.000	75	0.6	10	5.4	32	126	158	3	0	139	139	140	3	0	1
130	0.003	0.002	0.001	0.000	0.000	0.000	74	1.3	8	5.0	32	126	158	3	0	139	137	140	3	0	1
130	0.000	0.008	0.005	0.000	0.000	0.000	73	2.9	0	2.2	27	124	151	2	0	132	127	133	1	-1	1
130	0.000	0.009	0.006	0.000	0.000	0.000	72	2.6	5	1.5	27	124	151	1	0	130	127	131	1	-1	1
130	0.000	0.009	0.008	0.000	0.000	0.000	73	2.1	12	1.4	27	124	151	2	0	128	127	130	1	-1	1
128	0.001	0.006	0.006	0.000	0.000	0.000	76	1.7	25	1.9	22	124	146	2	0	128	127	130	1	-1	1
128	0.001	0.003	0.006	0.000	0.000	0.000	78	1.2	35	2.4	27	124	151	2	0	128	127	130	1	-1	1
133	0.000	0.003	0.006	0.000	0.000	0.000	74	1.3	28	3.9	31	119	150	7	0	136	134	137	1	0	2
133	0.000	0.001	0.006	0.000	0.000	0.000	78	0.3	73	3.5	22	132	154	2	0	136	136	138	0	-1	1
133	0.000	0.001	0.006	0.000	0.000	0.000	79	0.5	70	3.1	10	131	141	1	0	136	135	137	0	0	1
133	0.000	0.001	0.005	0.000	0.000	0.000	78	0.8	59	2.6	13	131	144	1	0	136	134	136	0	-1	1
133	0.000	0.001	0.005	0.000	0.000	0.000	78	0.8	44	3.6	14	130	144	1	0	136	134	137	0	0	1
133	0.000	0.001	0.005	0.000	0.000	0.000	77	0.9	34	4.4	17	130	147	1	0	136	135	137	0	0	1
133	0.000	0.001	0.004	0.000	0.000	0.000	76	0.8	29	5.3	17	130	147	1	0	136	135	137	0	0	1
133	0.000	0.001	0.003	0.000	0.000	0.000	77	0.8	16	5.8	17	130	147	1	0	135	135	137	1	0	1
133	0.000	0.001	0.004	0.000	0.000	0.000	76	0.6	12	6.8	17	130	147	0	0	136	136	138	1	0	1
133	0.000	0.000	0.004	0.000	0.000	0.000	75	0.4	13	7.2	26	129	155	1	0	136	137	139	1	0	1
133	0.000	0.000	0.007	0.000	0.000	0.000	75	0.4	15	6.7	26	129	155	2	0	136	137	139	1	0	1
133	0.000	0.000	0.005	0.000	0.000	0.000	75	0.6	20	4.7	26	129	155	2	0	136	136	138	0	-1	1
133	0.000	0.004	0.006	0.000	0.000	0.000	73	1.6	14	3.2	32	123	155	3	0	136	133	137	1	0	1
133	0.000	0.009	0.005	0.000	0.000	0.000	72	2.1	11	2.5	60	91	151	10	0	136	132	136	1	1	1
133	0.000	0.010	0.005	0.000	0.000	0.000	70	2.7	4	1.5	60	91	151	8	1	134	130	135	1	1	1
133	0.000	0.009	0.008	0.000	0.000	0.000	69	3.0	1	1.2	57	91	148	8	0	134	128	134	2	1	1
133	0.000	0.006	0.007	0.000	0.000	0.000	68	3.0	1	1.3	57	91	148	8	0	133	129	134	2	1	1
133	0.000	0.001	0.008	0.000	0.000	0.000	70	2.0	6	2.5	68	91	159	7	1	133	132	135	3	0	1
136	0.000	0.000	0.009	0.000	0.000	0.000	78	0.4	27	4.6	43	112	155	4	0	138	137	139	0	0	1
136	0.000	0.000	0.009	0.000	0.000	0.000	79	0.2	40	5.1	20	129	149	2	0	138	138	139	0	0	1
136	0.000	0.001	0.008	0.000	0.000	0.000	78	0.4	36	7.1	36	113	149	3	0	139	137	139	1	1	1
136	0.000	0.001	0.006	0.000	0.000	0.000	74	1.0	21	7.0	42	107	149	2	0	137	135	138	1	1	1
136	0.000	0.003	0.008	0.001	0.000	0.000	67	2.2	0	4.4	45	100	145	3	0	133	131	136	2	1	1
136	0.000	0.001	0.008	0.001	0.000	0.000	67	1.9	0	5.3	45	100	145	2	0	135	132	136	2	1	1
136	0.000	0.004	0.008	0.007	0.000	0.001	64	2.2	0	3.0	85	67	152	5	0	134	119	131	45	1	1
136	0.000	0.004	0.009	0.009	0.000	0.002	63	2.2	0	1.9	86	67	153	6	0	134	112	123	71	1	1
136	0.000	0.005	0.006	0.008	0.000	0.002	63	2.2	0	5.0	85	67	152	6	0	134	116	128	53	1	1
136	0.000	0.002	0.008	0.000	0.000	0.000	67	1.5	11	4.7	38	115	153	4	0	140	133	138	4	0	1
137	0.000	0.000	0.007	0.000	0.000	0.000	81	0.4	33	6.3	31	121	152	2	0	146	143	145	1	1	1
140	0.000	0.000	0.006	0.000	0.000	0.000	83	0.2	48	5.4	20	132	152	2	0	145	145	146	0	0	1
140	0.004	0.000	0.004	0.000	0.000	0.000	80	0.2	36	2.2	18	140	158	1	0	147	148	149	1	0	1
140	0.000	0.000	0.008	0.000	0.000	0.000	79	0.3	20	8.5	26	124	150	1	0	144	143	145	1	1	1
140	0.000	0.000	0.006	0.001	0.000	0.000	79	0.5	26	7.0	21	129	150	1	0	145	142	145	2	1	1
140	0.000	0.000	0.007	0.001	0.000	0.000	79	0.6	27	6.4	26	124	150	1	0	144	141	145	1	1	1
140	0.000	0.000	0.005	0.001	0.000	0.000	77	0.7	17	6.0	31	124	155	2	0	145	143	145	2	0	1
140	0.000	0.000	0.007	0.000	0.000	0.000	79	0.2	25	7.2	40	137	177	4	0	153	150	152	2	0	2
140	0.001	0.000	0.007	0.000	0.000	0.000	78	0.4	22	7.1	66	103	169	6	0	152	148	151	3	1	2
140	0.001	0.000	0.007	0.000	0.000	0.000	79	0.4	20	6.1	67	103	170	5	0	153	148	152	4	1	2
140	0.001	0.000	0.006	0.000	0.000	0.000	78	0.4	27	7.0	66	103	169	6	0	152	147	151	4	1	2
142	0.002	0.002	0.008	0.000	0.000	0.000	74	0.4	36	5.0	42	117	159	2	1	145	143	145	1	0	1

\(~\)

Data Exploration

Using the skimr library we can obtain a quick summary statistic of the dataset. This dataset contains 2126 values and 22 variables including the Target variable. They are all numeric and seems to have no missing variables.

Data summary

Name	fetal_df
Number of rows	2126
Number of columns	22
_______________________
Column type frequency:
numeric	22
________________________
Group variables	None

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
Baseline_Value	0	1	133.30	9.84	106.0	126.0	133.0	140.00	160.00	▁▅▇▅▁
AC	0	1	0.00	0.00	0.0	0.0	0.0	0.01	0.02	▇▂▂▁▁
FM	0	1	0.01	0.05	0.0	0.0	0.0	0.00	0.48	▇▁▁▁▁
UC	0	1	0.00	0.00	0.0	0.0	0.0	0.01	0.01	▇▇▅▁▁
DL	0	1	0.00	0.00	0.0	0.0	0.0	0.00	0.01	▇▂▁▁▁
DS	0	1	0.00	0.00	0.0	0.0	0.0	0.00	0.00	▇▁▁▁▁
DP	0	1	0.00	0.00	0.0	0.0	0.0	0.00	0.00	▇▁▁▁▁
ASTV	0	1	46.99	17.19	12.0	32.0	49.0	61.00	87.00	▅▇▇▇▂
MSTV	0	1	1.33	0.88	0.2	0.7	1.2	1.70	7.00	▇▃▁▁▁
ALTV	0	1	9.85	18.40	0.0	0.0	0.0	11.00	91.00	▇▁▁▁▁
MLTV	0	1	8.19	5.63	0.0	4.6	7.4	10.80	50.70	▇▃▁▁▁
Hist_width	0	1	70.45	38.96	3.0	37.0	67.5	100.00	180.00	▇▇▇▅▁
Hist_min	0	1	93.58	29.56	50.0	67.0	93.0	120.00	159.00	▇▃▅▆▁
Hist_max	0	1	164.03	17.94	122.0	152.0	162.0	174.00	238.00	▂▇▅▁▁
Nmax	0	1	4.07	2.95	0.0	2.0	3.0	6.00	18.00	▇▆▂▁▁
Nzeroes	0	1	0.32	0.71	0.0	0.0	0.0	0.00	10.00	▇▁▁▁▁
Hist_mode	0	1	137.45	16.38	60.0	129.0	139.0	148.00	187.00	▁▁▆▇▁
Hist_mean	0	1	134.61	15.59	73.0	125.0	136.0	145.00	182.00	▁▂▇▇▁
Hist_median	0	1	138.09	14.47	77.0	129.0	139.0	148.00	186.00	▁▂▇▆▁
Hist_var	0	1	18.81	28.98	0.0	2.0	7.0	24.00	269.00	▇▁▁▁▁
Hist_tendency	0	1	0.32	0.61	-1.0	0.0	0.0	1.00	1.00	▁▁▇▁▆
Fetal_Health	0	1	1.30	0.61	1.0	1.0	1.0	1.00	3.00	▇▁▂▁▁

\(~\)

Upon examining the variable distributions, our initial observation highlights that several variables adhere to a normal distribution. These variables comprise Baseline Value, Width of FHR Histogram, and Histogram Median.

Additional noteworthy points:

• The ‘Normal’ (1) classification in Fetal Health exhibits the highest frequency.
• Right-skewed distributions are apparent in Accelerations [AC], Light Decelerations [DL], Mean Short Variability [MSTV], Percentage of time with Abnormal Long Term Variability [ALTV], and Hist_var.
• Bimodal distributions manifest in Abnormal Short Variability [ASTV], Hist_width, and Hist_min.
• There’s a presumption of the presence of outliers in the variables Fetal Movement [FM], Severe Decelerations [DS], Prolongued Decelerations [DP], and No. of Histogram Zeroes [Nzeroes].

\(~\)

We’ll utilize boxplots to identify outliers across the complete dataset. Confirming my initial presumption, I can affirm the presence of outliers not only in the variables initially suspected but also in 16 out of 22 variables. Managing outliers in a dataset stands as a crucial phase in data preparation due to their potential substantial influence on statistical analyses and model building.

\(~\)

A correlation plot displays the relationships and strengths of associations between variables in a dataset. The plot includes numeric variables related to fetal health indicators such as fetal heart rate, uterine contractions, and fetal movement. The correlation coefficients range from -1 to +1, where positive correlations are represented by warmer colors (e.g., red) and negative correlations by cooler colors (e.g., blue).

The plot revealed a strong positive correlation between Nmax and Hist_width as well as Hist_max and Hist_width, the FHR histogram might depict the distribution of fetal heart rates observed during a particular time frame, such as during labor or specific intervals of monitoring. A wider FHR histogram might suggest a greater variation or fluctuation in fetal heart rates during the monitored period. In certain cases, specific widths in the FHR histogram might correlate with certain health conditions or provide insights into the fetal well-being. For instance, increased variability can sometimes be a sign of a healthy, responsive fetus. The plot also reveals a strong negative correlation between Hist_min and Hist_width and an odd strong positive correlation between Hist_mode, Hist_mean, and Hist_median,

The correlation plot has limitations as it only captures linear relationships and may not account for complex interactions between variables. Despite this, the insights gained from the plot below will help guide my feature selection process for developing a predictive model for fetal health classification.

\(~\)

Data Preparation

The highest priority for data preparation is addressing the outliers in order to have a better accuracy when creating models. For this, I seperated the target and the predictor variables to perform a “Winsorization” process on the dataframe predictors. Winsorization involves capping/extending extreme values by replacing them with a predefined percentile value (5th percentile for lower values and 95th percentile for higher values) to reduce the influence of outliers while preserving the distribution of the data. The resultant dataset, predictors_cleaned, comprises these modified values, combined with the original target variable ‘Fetal_Health’ to form the reconstructed dataset.

\(~\)

Let’s now examine the impact of incorporating parameters for outliers in each variable through a boxplot. The initial observation reveals a notable decrease in outliers, particularly noticeable within the variables: FM, Hist_var, Nzeroes, MLTV, MSTV, ALTV, and DP.

\(~\)

Model Building:

After preparing the data, I’m ready to initiate model construction using the cleaned dataset fetal_df_cleaned. Based on past success, I’ve achieved notable accuracies using decision trees. Additionally, I’ll be developing a neural network model for this dataset to compare the performance of these two models.

\(~\)

Decision Tree

The initial decision tree constructed is based on Fetal Health against the entire dataset. Employing a 75:25 cross-validation approach, I initially divided the data and created the decision tree. The output is below:

Then we test the model using the validation dataset. The results are seen in the confusion matrix and statistics output:

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction   1   2   3
##          1 392  22   3
##          2  17  49   7
##          3   4   2  34
## 
## Overall Statistics
##                                           
##                Accuracy : 0.8962          
##                  95% CI : (0.8671, 0.9209)
##     No Information Rate : 0.7792          
##     P-Value [Acc > NIR] : 1.427e-12       
##                                           
##                   Kappa : 0.7131          
##                                           
##  Mcnemar's Test P-Value : 0.3129          
## 
## Statistics by Class:
## 
##                      Class: 1 Class: 2 Class: 3
## Sensitivity            0.9492  0.67123  0.77273
## Specificity            0.7863  0.94748  0.98765
## Pos Pred Value         0.9400  0.67123  0.85000
## Neg Pred Value         0.8142  0.94748  0.97959
## Prevalence             0.7792  0.13774  0.08302
## Detection Rate         0.7396  0.09245  0.06415
## Detection Prevalence   0.7868  0.13774  0.07547
## Balanced Accuracy      0.8677  0.80936  0.88019

\(~\)

Consider examining the individual contributions of each variable. It’s evident that AC, ALTV, ASTV, DP, Hist_mean, MLTV, and MSTV hold significant influence within the dataset. Upon analyzing the correlation plot, notable strong positive correlations were observed among Hist_mode, Hist_mean, and Hist_median, yet only Hist_mean appears to wield influence within this dataset.

	Overall
AC	106.809417
ALTV	168.229728
ASTV	181.634126
Baseline_Value	58.294122
DP	101.753631
FM	2.189614
Hist_max	45.473628
Hist_mean	232.073136
Hist_median	98.088701
Hist_min	14.469697
Hist_mode	77.538794
Hist_var	7.461905
Hist_width	21.401533
MLTV	105.170336
MSTV	171.746945
Nmax	14.882927
UC	15.014409
DL	0.000000
DS	0.000000
Nzeroes	0.000000
Hist_tendency	0.000000

\(~\)

The model’s accuracy stands at 89.62%, which is commendable. However, considering the variable contributions, I’m planning to build a second decision tree by removing the variables with lower contributions.

	x
Accuracy	0.8962264

\(~\)

Second Decision Tree:

As mentioned, this second decision tree is based off the variables with highest contribution: AC, ALTV, ASTV, DP, MLTV, MSTV, and the target variable Fetal_Health. The results are below:

\(~\)

Same as before, we create the confusion matrix and statistics for the second decision tree using the testing data:

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction   1   2   3
##          1 403  24   7
##          2   4  46   6
##          3   6   3  31
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9057          
##                  95% CI : (0.8775, 0.9292)
##     No Information Rate : 0.7792          
##     P-Value [Acc > NIR] : 1.227e-14       
##                                           
##                   Kappa : 0.7234          
##                                           
##  Mcnemar's Test P-Value : 0.001532        
## 
## Statistics by Class:
## 
##                      Class: 1 Class: 2 Class: 3
## Sensitivity            0.9758  0.63014  0.70455
## Specificity            0.7350  0.97812  0.98148
## Pos Pred Value         0.9286  0.82143  0.77500
## Neg Pred Value         0.8958  0.94304  0.97347
## Prevalence             0.7792  0.13774  0.08302
## Detection Rate         0.7604  0.08679  0.05849
## Detection Prevalence   0.8189  0.10566  0.07547
## Balanced Accuracy      0.8554  0.80413  0.84301

\(~\)

Let’s examine the impact of each variable within the context of the second dataset. There’s a noticeable shift in the overall contribution levels among the variables.

	Overall
AC	122.09058
ALTV	135.07177
ASTV	220.18498
DP	157.35161
MLTV	92.27187
MSTV	183.36247

\(~\)

Ultimately, we observe that the accuracy has increased to 90.57% compared to the initial decision tree.

	x
Accuracy	0.9056604

\(~\)

Neural Networks

Neural networks are a class of machine learning models inspired by the structure and functioning of the human brain. They are composed of interconnected nodes, known as neurons, organized into layers. Each neuron receives input, processes it through an activation function, and passes the output to the next layer of neurons. These models are designed to recognize patterns, learn from data, and make predictions or decisions without explicit programming. In R, there are different packages available for working with neural networks, such as nnet and neuralnet which will be used with this dataset.

Neural Networks using nnet:

The first neural network will be build using nnet. The nnet package in R is primarily designed for building feedforward neural networks. It supports single-hidden-layer and limited multilayer feedforward neural networks. Uses a backpropagation algorithm for training neural networks. Offers flexibility in specifying the number of hidden units and activation functions but it’s limited to relatively simple neural network architectures and may not scale well for more complex models.

To start, I set parameters for the model training process, and then trained the model. Being that the output of the model results was long, these results won’t be displayed but are available for reproduction within my code in GitHub.

\(~\)

From the output, I was able to create the plot below, which depicts the optimization of weight decay within each iterations (5) for the RMSE value.

\(~\)

This second plot shows the importance of the variables in the nnet model. MLTV is the top variable with the highest level of importance and DP contains the lowest level of importance in this dataset.

\(~\)

Neural Network using neuralnet

For the second neural network model I am using the neuralnet package. The neuralnet package in R supports more complex neural network architectures. It allows for the creation of more complex neural networks with multiple hidden layers. Utilizes the backpropagation algorithm and offers flexibility in weight initialization and learning algorithms. Provides additional functionalities like visualization of network topology and training progress. It’s more flexible in designing and training complex neural network structures but may require more computational resources due to the complexity of the models.

Similar to the first model, I created the model by specifying the variables from fetal_df_cleaned2 which included AC, ALTV, ASTV, DP, MLTV, MSTV, and the target variable Fetal_Health and setting the parameters to 2 hidden layers with 4 and 2 neurons.

\(~\)

The plot below is the output of the model created:

• The left-most nodes (i.e. input nodes) are the raw data variables used in the model.

• The arrows in black (and associated numbers) are the weights which you can think of as how much that variable contributes to the next node. The blue lines are the bias weights which are an additional parameter introduced to each neuron and serves as an offset or intercept term, contributing to the ability of the network to fit more complex patterns in the data.

• The middle nodes (i.e. anything between the input and output nodes) are your hidden nodes. This is where the image analogy helps. Each of these nodes constitute a component that the network is learning to recognize.

• The far-right (output node(s)) node is the final output of the neural network.

In the context of a neuralnet plot displaying an error of 375.008195 and steps of 43, this information typically pertains to the training progress of a neural network model and provides insights into the model’s learning behavior.

• An error value of 375.008195 suggests the current level of model error or loss at the 43rd step/iteration during training.

• As the number of steps increases during training, the hope is that the error gradually decreases, indicating the neural network is learning and improving its predictive capability.

\(~\)

Here’s a prediction table of the status in Fetal Health with normal having the largest prediction count.

##    prediction_label
##     Normal
##   1    413
##   2     73
##   3     44

\(~\)

Lastly, we check the accuracy using the validation data by first converting actual categorical values into numerical ones and compare them with predicted values. The neuralnet accuracy is 77.92% which is less than the accuracy of the second decision tree.

## [1] 0.7792453

\(~\)

Model Comparison

These results below provide accuracy scores for two different models: a Decision Tree (rpart) model and a Neural Network (neuralnet) model. Accuracy measures the proportion of correctly predicted outcomes over the total number of predictions made by the model.

##            Model  Accuracy
## 1  Decision Tree 0.9056604
## 2 Neural Network 0.7792453

\(~\)

Conclusion:

Based on the accuracy scores,

Decision Tree: The second Decision Tree model using the rpart algorithm achieved an accuracy of 90.57%. This model achieved a higher accuracy score compared the first decision tree and both Neural Network models. The confusion matrix revealed Class 1 has a higher precision compared to classes 2 and 3. Specificity is generally high across all classes, indicating good performance in correctly identifying negative instances.

Neural Network: The second neural network model using neuralnet achieved an accuracy of 77.92%. This model achieved a lower accuracy score compared to the Decision Tree model. Both models exhibited good performance, with only the second model capable of generating accuracy results.

Overall, the Decision Tree model appears to have outperformed the Neural Network model in terms of accuracy. I encountered difficulties while attempting to build both neural network models, struggling to identify the exact issue. I explored multiple code examples to aid in modeling, and fortunately, the ‘nnet’ and ‘neuralnet’ functions operated smoothly without encountering errors with my dataset.

\(~\)

References:

• How to remove outliers from data in R - universe of Data Science. Universe of Data Science for the Future. (2022, March 4). https://universeofdatascience.com/how-to-remove-outliers-from-data-in-r/

• Huang, L., Jiang, Z., Cai, R., Li, L., Chen, Q., Hong, J., Hao, Z., & Wei, H. (2021). Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records. BMC medical informatics and decision making, 21(1), 355. https://doi.org/10.1186/s12911-021-01714-4

• Awan, A. A. (2023, February 6). Building Neural Network (NN) models in R. DataCamp. https://www.datacamp.com/tutorial/neural-network-models-r

• GeeksforGeeks. (2020, August 20). Building a simple neural network in R programming. GeeksforGeeks. https://www.geeksforgeeks.org/building-a-simple-neural-network-in-r-programming/

• Awan, A. A. (2023a, February 6). Building Neural Network (NN) models in R. DataCamp. https://www.datacamp.com/tutorial/neural-network-models-r

• KaranKaran . (1956, April 1). What is the role of the bias in neural networks?. Stack Overflow. https://stackoverflow.com/questions/2480650/what-is-the-role-of-the-bias-in-neural-networks

• KaranKaran . (1956, April 1). What is the role of the bias in neural networks?. Stack Overflow. https://stackoverflow.com/questions/2480650/what-is-the-role-of-the-bias-in-neural-networks

\(~\)

Appendix: Code

The code used in this project is below:

# load libraries
library(tidyverse) # data prep
library(skimr) # data prep
library(rpart) # decision tree package
library(rpart.plot) # decision tree display package
library(kableExtra)
library(knitr) # kable function for table
library(formattable)
library(tidyr) # splitting data
library(dplyr) # used in filtering outliers
library(ggplot2) # graphing
library(hrbrthemes) # chart customization
library(viridis) # ggplot2 formating for boxplot
library(gridExtra) # layering charts
library(stringr) # data prep
library(tidymodels) # predictions
library(corrplot) # correlation plot
library(caret) # confusion matrix
library(neuralnet) # neural network

# load the dataset from github
fetal_df <- read.csv("https://raw.githubusercontent.com/letisalba/Data-622/master/Homework-4/csv/fetal_health.csv")
fetal_df <- fetal_df %>% rename(Baseline_Value = 'baseline.value',
                                AC = "accelerations",
                                FM = "fetal_movement",
                                UC = "uterine_contractions", 
                                DL = "light_decelerations",
                                DS = "severe_decelerations",
                                DP = "prolongued_decelerations",
                                ASTV = "abnormal_short_term_variability",
                                MSTV = "mean_value_of_short_term_variability",
                                ALTV = "percentage_of_time_with_abnormal_long_term_variability",
                                MLTV = "mean_value_of_long_term_variability",
                                Hist_width = "histogram_width",
                                Hist_min = "histogram_min",
                                Hist_max = "histogram_max",
                                Nmax = "histogram_number_of_peaks",
                                Nzeroes = "histogram_number_of_zeroes",
                                Hist_mode = "histogram_mode",
                                Hist_mean = "histogram_mean",
                                Hist_median = "histogram_median",
                                Hist_var = "histogram_variance",
                                Hist_tendency = "histogram_tendency",
                                Fetal_Health = "fetal_health")     

# display the dataset
fetal_df %>% 
kable(format = "html", col.names = colnames(fetal_df)) %>%
  kable_styling() %>%
  kableExtra::scroll_box(width = "100%", height = "400px")

# summary of the dataset
skim(fetal_df)

# Histogram for fetal_health
p1 <- fetal_df %>%
ggplot( aes(x=Fetal_Health)) +
    geom_histogram(fill="#1C315E", color="#e9ecef", alpha=0.8) +
    ggtitle("Fetal Health") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for baseline.value
p2 <- fetal_df %>%
ggplot( aes(x=Baseline_Value)) +
    geom_histogram(fill="#227C70", color="#e9ecef", alpha=0.8) +
    ggtitle("Baseline Value") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for accelerations
p3 <- fetal_df %>%
ggplot( aes(x=AC)) +
    geom_histogram(fill="#808000", color="#e9ecef", alpha=0.8) +
    ggtitle("Accelerations") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for fetal_movement
p4 <- fetal_df %>%
ggplot( aes(x=FM)) +
    geom_histogram(fill="#88A47C", color="#e9ecef", alpha=0.8) +
    ggtitle("Fetal Movement") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )
# Histogram for uterine_contractions
p5 <- fetal_df %>%
ggplot( aes(x=UC)) +
    geom_histogram(fill="#495579", color="#e9ecef", alpha=0.8) +
    ggtitle("Uterine Contractions") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for light_decelerations
p6 <- fetal_df %>%
ggplot( aes(x=DL)) +
    geom_histogram(fill="#8B7E74", color="#e9ecef", alpha=0.8) +
    ggtitle("Light Decelerations") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for severe_decelerations
p7 <- fetal_df %>%
ggplot( aes(x=DS)) +
    geom_histogram(fill="#C7BCA1", color="#e9ecef", alpha=0.8) +
    ggtitle("Severe Decelerations") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for prolongued_decelerations
p8 <- fetal_df %>%
ggplot( aes(x=DP)) +
    geom_histogram(fill="#EB6440", color="#e9ecef", alpha=0.8) +
    ggtitle("Prolongued Decelerations") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for abnormal_short_var
p9 <- fetal_df %>%
ggplot( aes(x=ASTV)) +
    geom_histogram(fill="#E8AA42", color="#e9ecef", alpha=0.8) +
    ggtitle("Abnormal Short Variability") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for mean_value_of_short_term_variability
p10 <- fetal_df %>%
ggplot( aes(x=MSTV)) +
    geom_histogram(fill="#9B3675", color="#e9ecef", alpha=0.8) +
    ggtitle("Mean Short Variability") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for percentage_of_time_with_abnormal_long_term_variability
p11 <- fetal_df %>%
ggplot( aes(x=ALTV)) +
    geom_histogram(fill="#6E7C7C", color="#e9ecef", alpha=0.8) +
    ggtitle("Percentage of time with Abnormal Long Term Variability") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=12)
    )

# Histogram for mean_value_of_long_term_variability
p12 <- fetal_df %>%
ggplot( aes(x=MLTV)) +
    geom_histogram(fill="#495579", color="#e9ecef", alpha=0.8) +
    ggtitle("Mean Long Variability") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_width
p13 <- fetal_df %>%
ggplot( aes(x=Hist_width)) +
    geom_histogram(fill="#795548", color="#e9ecef", alpha=0.8) +
    ggtitle("Width of FHR Histogram") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_min
p14 <- fetal_df %>%
ggplot( aes(x=Hist_min)) +
    geom_histogram(fill="#607D8B", color="#e9ecef", alpha=0.8) +
    ggtitle("Minimum of FHR Histogram") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_max
p15 <- fetal_df %>%
ggplot( aes(x=Hist_max)) +
    geom_histogram(fill="#92967D", color="#e9ecef", alpha=0.8) +
    ggtitle("Maximum of FHR Histogram") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_number_of_peaks
p16 <- fetal_df %>%
ggplot( aes(x=Nmax)) +
    geom_histogram(fill="#a86800", color="#e9ecef", alpha=0.8) +
    ggtitle("No. of Histogram Peaks") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_number_of_zeroes
p17 <- fetal_df %>%
ggplot( aes(x=Nzeroes)) +
    geom_histogram(fill="#D0CECE", color="#e9ecef", alpha=0.8) +
    ggtitle("No. of Histogram Zeroes") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_modes
p18 <- fetal_df %>%
ggplot( aes(x=Hist_mode)) +
    geom_histogram(fill="#937070", color="#e9ecef", alpha=0.8) +
    ggtitle("Histogram Mode") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_mean
p19 <- fetal_df %>%
ggplot( aes(x=Hist_mean)) +
    geom_histogram(fill="#aaad97", color="#e9ecef", alpha=0.8) +
    ggtitle("Histogram Mean") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_median
p20 <- fetal_df %>%
ggplot( aes(x=Hist_median)) +
    geom_histogram(fill="#7e102c", color="#e9ecef", alpha=0.8) +
    ggtitle("Histogram Median") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_variance
p21 <- fetal_df %>%
ggplot( aes(x=Hist_var)) +
    geom_histogram(fill="#e1d3cc", color="#e9ecef", alpha=0.8) +
    ggtitle("Histogram Variance") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# Histogram for histogram_tendency
p22 <- fetal_df %>%
ggplot( aes(x=Hist_tendency)) +
    geom_histogram(fill="#767468", color="#e9ecef", alpha=0.8) +
    ggtitle("Histogram Tendency") +
    theme_ipsum() +
    theme(
      plot.title = element_text(size=15)
    )

# displaying the histograms
par(mfrow = c(3, 4))
grid.arrange(p1,p2,p3,p4,p5,p6,p7,p8,p9,p10,p11,p12,p13,p14,p15,p16,p17,p18,p19,p20,p21,p22)

# boxplot of variables
fetal_df2 <- fetal_df %>% 
                gather(variable, values, 1:dim(fetal_df)[2])
fetal_df2 %>% 
  ggplot() +
  geom_boxplot(aes(x = variable, y = values)) +
  facet_wrap(~variable, ncol = 4, scales = "free") +
  theme_ipsum() +
    theme(
      plot.title = element_text(size=6)
    )

# Correlation matrix
cor_matrix <- cor(fetal_df[, -ncol(fetal_df)])

# Visualize the correlation matrix using corrplot
corrplot(cor_matrix, method = "color", tl.col = "black")

# Separate the target variable
target <- fetal_df$Fetal_Health
predictors <- fetal_df[, -which(names(fetal_df) == "Fetal_Health")]

# Apply outlier treatment to predictors
# Example: Using Winsorization for outlier treatment

predictors_cleaned <- predictors %>%
  mutate_all(~ifelse(. < quantile(., 0.05), quantile(., 0.05),
                     ifelse(. > quantile(., 0.95), quantile(., 0.95), .)))

# Reconstruct the dataset with cleaned predictors and the original target variable
fetal_df_cleaned <- cbind(predictors_cleaned, Fetal_Health = target)

# Use 'data_cleaned' for model training while keeping the original target variable unchanged

# boxplot of the variables with the outlier parameters
fetal_df2 <- fetal_df_cleaned %>% 
                gather(variable, values, 1:dim(fetal_df_cleaned)[2])
fetal_df2 %>% 
  ggplot() +
  geom_boxplot(aes(x = variable, y = values)) +
  facet_wrap(~variable, ncol = 4, scales = "free") +
  theme_ipsum() +
    theme(
      plot.title = element_text(size=6)
    )

# create some random numbers for reproduction
set.seed(94)

# Cross Validation Set-up
inTrain <- createDataPartition(as.factor(fetal_df_cleaned$Fetal_Health), p=.75, list = F)
train <- fetal_df_cleaned[inTrain,]
valid <- fetal_df_cleaned[-inTrain,]

# create the decision tree
rpart_model <- rpart(Fetal_Health ~ ., method = "class", data = train)

# display the decision tree
prp(rpart_model, extra=1, faclen=0,  nn=T, box.palette="Blues")

# creating our prediction
rpart_result <- predict(rpart_model, newdata = valid[, !colnames(valid) %in% "Fetal_Health"], type = 'class')

# confusion matrix
confusionMatrix(rpart_result, as.factor(valid$Fetal_Health))

# contribution of variables
varImp(rpart_model) %>% kable()

# Extract accuracy from the confusion matrix
accuracy_rpart <- confusionMatrix(rpart_result, as.factor(valid$Fetal_Health))$overall["Accuracy"]
kable(accuracy_rpart, align = "l")

# creating the second dataset from the original
fetal_df_cleaned2 <- fetal_df_cleaned %>%
  #gather(variable, values, 1:dim(fetal_df_cleaned)[2]) %>% 
  dplyr::select(AC, ALTV, ASTV, DP, MLTV, MSTV, Fetal_Health)

# create some random numbers for reproduction
set.seed(98)

# Cross Validation Set-up
inTrain2 <- createDataPartition(as.factor(fetal_df_cleaned2$Fetal_Health), p=.75, list = F)
train2 <- fetal_df_cleaned2[inTrain2,]
valid2 <- fetal_df_cleaned2[-inTrain2,]

# create the decision tree
rpart_model2 <- rpart(Fetal_Health ~ ., method = "class", data = train2)

# display the decision tree
prp(rpart_model2, extra=1, faclen=0,  nn=T, box.palette="Blues")

# creating our prediction
rpart_result2 <- predict(rpart_model2, newdata = valid2[, !colnames(valid2) %in% "Fetal_Health"], type = 'class')

# confusion matrix
confusionMatrix(rpart_result2, as.factor(valid2$Fetal_Health))

# contribution of variables
varImp(rpart_model2) %>% kable()

# Extract accuracy from the confusion matrix
accuracy_rpart2 <- confusionMatrix(rpart_result2, as.factor(valid2$Fetal_Health))$overall["Accuracy"]
kable(accuracy_rpart2, align = "l")

# set random numbers for reproduction
set.seed(56)

# set up the parameters for the model training process
train_control <- trainControl(
  method = "cv",
  number = 5
)

# set up additional parameters for the model training process
ctrl <- trainControl(
  method = "cv",
  number = 5,
  summaryFunction = twoClassSummary,
  classProbs = TRUE,
  savePredictions = T
)

# defining grid for hyperparameter tuning
grid <-  expand.grid(size = seq(from = 1, to = 10, by = 1),
                     decay = seq(from = 0.1, to = 0.5, by = 0.1))

# train the nnet model
nnet <- train(Fetal_Health ~ ., data = train2,
                          method = 'nnet')

# create nnet model plot
plot(nnet)

# compute and visualize variable importance for a neural network model 
plot(varImp(nnet), top=10)

# set a seed for reproducibility purposes
set.seed(13)
# create the model
model = neuralnet(
    Fetal_Health~AC + ALTV + ASTV + DP + MLTV + MSTV,
data=train2,
hidden=c(4,2), # specify the number of hidden layers and the number of neurons in each layer. In this case, there are two hidden layers with four and two neurons, respectively.
linear.output = FALSE
)

# create the plot based on the model above
plot(model,rep = "best")

# make predictions on the test data using a previously trained model
pred <- predict(model, valid2)

# create a vector of labels for the three possible `fetal_health` status in the dataset.
labels <- c("Normal", "Suspect", "Pathological")

# creates a data frame with the column index of the maximum value in each row of the "pred" variable
prediction_label <- data.frame(max.col(pred)) %>% 
# use the mutate function to add a new column to the data frame called "pred"
mutate(pred=labels[max.col.pred.]) %>%
select(2) %>%
# convert the data frame to a vector.
unlist()

# print the table
table(valid2$Fetal_Health, prediction_label)

# checking the accuracy
check <- as.numeric(valid2$Fetal_Health) == max.col(pred)
nn_accuracy <-  (sum(check)/nrow(valid2))
nn_accuracy

# Compare models
model_names <- c("Decision Tree", "Neural Network")
accuracies <- c(0.9056604, 0.7792453)
results <- data.frame(Model = model_names, Accuracy = accuracies)
results <- results[order(results$Accuracy, decreasing = TRUE), ]
results

\(~\)

Appendix: Code not used

The code below wasn’t working regardless of my efforts therefore excluded from my porject.

#### Random Forest

#For the random forest model, I chose the second decision tree as it had a higher accuracy compared to the first model. Create the random forest model using the training data and then applying it to the validation data. Below are the results:
  
  # create some random number for reproduction 
set.seed(83)

# converting column 'Fetal_Health' to factor
fetal_df_cleaned2$Fetal_Health <- as.factor(fetal_df_cleaned2$Fetal_Health)

# create random forest model using the second training data
rf_model <- randomForest(Fetal_Health ~ AC + ALTV + ASTV + DP + MLTV + MSTV, train2)
rf_model

# prediction
rf_result <- predict(rf_model, newdata = valid2[, !colnames(valid2) %in% "Fetal_Health"])

# confusion matrix
confusionMatrix(rf_result, as.factor(valid2$Fetal_Health))

# plot for rf_model
varImpPlot(rf_model)

# table for rf_model variable contribution
varImp(rf_model) %>% kable()


# Extract accuracy from the confusion matrix for the rf_model
accuracy_rf <- confusionMatrix(rf_result, as.factor(valid2$Fetal_Health))$overall["Accuracy"]
accuracy_rf